diff --git a/.ipynb_checkpoints/run-checkpoint.ipynb b/.ipynb_checkpoints/run-checkpoint.ipynb
index 0e7623d1..a6c84c9c 100644
--- a/.ipynb_checkpoints/run-checkpoint.ipynb
+++ b/.ipynb_checkpoints/run-checkpoint.ipynb
@@ -24,12 +24,30 @@
    "source": [
     "# -*- coding: utf-8 -*-\n",
     "# %matplotlib inline\n",
-    "\n",
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "!git clone https://github.com/supersteph/DeepReinforcementLearning.git\n",
+    "!mv DeepReinforcementLearning/* .\n",
+    "\n",
+    "%load agent.py\n",
+    "%load config.py\n",
+    "%load funcs.py\n",
+    "%load game.py\n",
+    "%load initialise.py\n",
+    "%load loggers.py\n",
+    "%load loss.py\n",
+    "%load main.py\n",
+    "%load memory.py\n",
+    "%load model.py\n",
+    "%load settings.py\n",
+    "%load utils.py\n",
     "import numpy as np\n",
     "np.set_printoptions(suppress=True)\n",
     "\n",
     "from shutil import copyfile\n",
     "import random\n",
+    "from importlib import reload\n",
     "\n",
     "\n",
     "from keras.utils import plot_model\n",
@@ -60,9 +78,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "ITERATION NUMBER 1\n",
+      "BEST PLAYER VERSION 0\n",
+      "SELF PLAYING 30 EPISODES...\n",
+      "1 "
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-2-d4b5dcf02dd7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;31m######## SELF PLAY ########\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SELF PLAYING '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' EPISODES...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m     \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayMatches\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_main\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mturns_until_tau0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTURNS_UNTIL_TAU0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     66\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/funcs.py\u001b[0m in \u001b[0;36mplayMatches\u001b[0;34m(player1, player2, EPISODES, logger, turns_until_tau0, memory, goes_first)\u001b[0m\n\u001b[1;32m     84\u001b[0m             \u001b[0;31m#### Run the MCTS algo and return an action\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mturn\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mturns_until_tau0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36mact\u001b[0;34m(self, state, tau)\u001b[0m\n\u001b[1;32m     84\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'****** SIMULATION %d ******'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'***************************'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0;31m#### get action values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36msimulate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0;31m##### EVALUATE THE LEAF NODE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluateLeaf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleaf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0;31m##### BACKFILL THE VALUE THROUGH THE TREE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36mevaluateLeaf\u001b[0;34m(self, leaf, value, done, breadcrumbs)\u001b[0m\n\u001b[1;32m    140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m                         \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maction\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mallowedActions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m                                 \u001b[0mnewState\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mleaf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtakeAction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    143\u001b[0m                                 \u001b[0;32mif\u001b[0m \u001b[0mnewState\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                                         \u001b[0mnode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewState\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36mtakeAction\u001b[0;34m(self, action)\u001b[0m\n\u001b[1;32m    135\u001b[0m                 \u001b[0mnewBoard\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 137\u001b[0;31m                 \u001b[0mnewState\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGameState\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewBoard\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    139\u001b[0m                 \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, board, playerTurn)\u001b[0m\n\u001b[1;32m     66\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayerTurn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_binary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convertStateToId\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mallowedActions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_allowedActions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misEndGame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_checkForEndGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36m_convertStateToId\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    101\u001b[0m                 \u001b[0mposition\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplayer1_position\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mother_position\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m                 \u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mposition\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    105\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/numpy/core/numeric.py\u001b[0m in \u001b[0;36marray_str\u001b[0;34m(a, max_line_width, precision, suppress_small)\u001b[0m\n\u001b[1;32m   1903\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1904\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1905\u001b[0;31m \u001b[0;32mdef\u001b[0m \u001b[0marray_str\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_line_width\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprecision\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msuppress_small\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1906\u001b[0m     \"\"\"\n\u001b[1;32m   1907\u001b[0m     \u001b[0mReturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0mstring\u001b[0m \u001b[0mrepresentation\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32min\u001b[0m \u001b[0man\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
    "source": [
     "lg.logger_main.info('=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*')\n",
     "lg.logger_main.info('=*=*=*=*=*=.      NEW LOG      =*=*=*=*=*')\n",
@@ -141,7 +191,7 @@
     "        print('')\n",
     "\n",
     "        if iteration % 5 == 0:\n",
-    "            pickle.dump( memory, open( run_folder + \"memory/memory\" + iteration + \".p\", \"wb\" ) )\n",
+    "            pickle.dump( memory, open( run_folder + \"memory/memory\" + str(iteration).zfill(4) + \".p\", \"wb\" ) )\n",
     "\n",
     "        lg.logger_memory.info('====================')\n",
     "        lg.logger_memory.info('NEW MEMORIES')\n",
@@ -195,16 +245,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-2-d30708289825>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0menv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mplayMatchesBetweenVersions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_tourney\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/funcs.py\u001b[0m in \u001b[0;36mplayMatchesBetweenVersions\u001b[0;34m(env, run_version, player1version, player2version, EPISODES, logger, turns_until_tau0, goes_first)\u001b[0m\n\u001b[1;32m     31\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mplayer2version\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m             \u001b[0mplayer2_network\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_version\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2version\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 33\u001b[0;31m             \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_weights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplayer2_network\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_weights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     34\u001b[0m         \u001b[0mplayer2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAgent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'player2'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maction_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMCTS_SIMS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCPUCT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.5/dist-packages/keras/engine/topology.py\u001b[0m in \u001b[0;36mset_weights\u001b[0;34m(self, weights)\u001b[0m\n\u001b[1;32m   2005\u001b[0m                 \u001b[0mtuples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2006\u001b[0m             \u001b[0mweights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mweights\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnum_param\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2007\u001b[0;31m         \u001b[0mK\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_set_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtuples\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2008\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2009\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36mbatch_set_value\u001b[0;34m(tuples)\u001b[0m\n\u001b[1;32m   2250\u001b[0m             \u001b[0massign_ops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0massign_op\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2251\u001b[0m             \u001b[0mfeed_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0massign_placeholder\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2252\u001b[0;31m         \u001b[0mget_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0massign_ops\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfeed_dict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2253\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    787\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    788\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 789\u001b[0;31m                          run_metadata_ptr)\n\u001b[0m\u001b[1;32m    790\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    791\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    995\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    996\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m--> 997\u001b[0;31m                              feed_dict_string, options, run_metadata)\n\u001b[0m\u001b[1;32m    998\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    999\u001b[0m       \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m   1130\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1131\u001b[0m       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,\n\u001b[0;32m-> 1132\u001b[0;31m                            target_list, options, run_metadata)\n\u001b[0m\u001b[1;32m   1133\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1134\u001b[0m       return self._do_call(_prun_fn, self._session, handle, feed_dict,\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m   1137\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1138\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1139\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1140\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1141\u001b[0m       \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m   1119\u001b[0m         return tf_session.TF_Run(session, options,\n\u001b[1;32m   1120\u001b[0m                                  \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1121\u001b[0;31m                                  status, run_metadata)\n\u001b[0m\u001b[1;32m   1122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1123\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_prun_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
    "source": [
     "from game import Game\n",
     "from funcs import playMatchesBetweenVersions\n",
     "import loggers as lg\n",
     "\n",
     "env = Game()\n",
-    "playMatchesBetweenVersions(env, 1, 1, 1, 10, lg.logger_tourney, 0)"
+    "playMatchesBetweenVersions(env, 1, -1, 1, 10, lg.logger_tourney, 0)"
    ]
   },
   {
@@ -216,9 +286,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "cannot reshape array of size 84 into shape (2,5,5)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-11f4f6069a8e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      8\u001b[0m ]), 1)\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0mpreds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcurrent_player\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_preds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpreds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mget_preds\u001b[0;34m(self, state)\u001b[0m\n\u001b[1;32m    106\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mget_preds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    107\u001b[0m                 \u001b[0;31m#predict the leaf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m                 \u001b[0minputToModel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvertToModelInput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mpreds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputToModel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/model.py\u001b[0m in \u001b[0;36mconvertToModelInput\u001b[0;34m(self, state)\u001b[0m\n\u001b[1;32m    242\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mconvertToModelInput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    243\u001b[0m                 \u001b[0minputToModel\u001b[0m \u001b[0;34m=\u001b[0m  \u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary\u001b[0m \u001b[0;31m#np.append(state.binary, [(state.playerTurn + 1)/2] * self.input_dim[1] * self.input_dim[2])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 244\u001b[0;31m                 \u001b[0minputToModel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputToModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minput_dim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    245\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0minputToModel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/numpy/core/fromnumeric.py\u001b[0m in \u001b[0;36mreshape\u001b[0;34m(a, newshape, order)\u001b[0m\n\u001b[1;32m    255\u001b[0m            [5, 6]])\n\u001b[1;32m    256\u001b[0m     \"\"\"\n\u001b[0;32m--> 257\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_wrapfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'reshape'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnewshape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    258\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/numpy/core/fromnumeric.py\u001b[0m in \u001b[0;36m_wrapfunc\u001b[0;34m(obj, method, *args, **kwds)\u001b[0m\n\u001b[1;32m     50\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_wrapfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     51\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 52\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     53\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m     \u001b[0;31m# An AttributeError occurs if the object does not have\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: cannot reshape array of size 84 into shape (2,5,5)"
+     ]
+    }
+   ],
    "source": [
     "gs = GameState(np.array([\n",
     "    0,0,0,0,0,0,0,\n",
@@ -243,9 +329,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LAYER 0\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 216x0 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LAYER 1\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-7-36be611761b0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcurrent_player\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mviewLayers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/model.py\u001b[0m in \u001b[0;36mviewLayers\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    102\u001b[0m                                                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 104\u001b[0;31m                         \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    105\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    106\u001b[0m                 \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'------------------'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m    251\u001b[0m     \"\"\"\n\u001b[1;32m    252\u001b[0m     \u001b[0;32mglobal\u001b[0m \u001b[0m_show\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 253\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_show\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(close, block)\u001b[0m\n\u001b[1;32m     34\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mfigure_manager\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mGcf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_all_fig_managers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 36\u001b[0;31m             \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     37\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     38\u001b[0m         \u001b[0mshow\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_to_draw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mdisplay\u001b[0;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001b[0m\n\u001b[1;32m    295\u001b[0m             \u001b[0mpublish_display_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    296\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 297\u001b[0;31m             \u001b[0mformat_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmd_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    298\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mformat_dict\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    299\u001b[0m                 \u001b[0;31m# nothing to display (e.g. _ipython_display_ took over)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mformat\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    178\u001b[0m             \u001b[0mmd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    181\u001b[0m             \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0;31m# FIXME: log the exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<decorator-gen-9>\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m     \u001b[0;34m\"\"\"show traceback on failed format call\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 224\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    225\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m         \u001b[0;31m# don't warn on NotImplementedErrors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    236\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    237\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 238\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    239\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    240\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    120\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    121\u001b[0m     \u001b[0mbytes_io\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 122\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    123\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    124\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)\u001b[0m\n\u001b[1;32m   2261\u001b[0m                 \u001b[0morientation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2262\u001b[0m                 \u001b[0mbbox_inches_restore\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_bbox_inches_restore\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2263\u001b[0;31m                 **kwargs)\n\u001b[0m\u001b[1;32m   2264\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2265\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mbbox_inches\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mrestore_bbox\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mprint_png\u001b[0;34m(self, filename_or_obj, *args, **kwargs)\u001b[0m\n\u001b[1;32m    511\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    512\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprint_png\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename_or_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 513\u001b[0;31m         \u001b[0mFigureCanvasAgg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    514\u001b[0m         \u001b[0mrenderer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_renderer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    515\u001b[0m         \u001b[0moriginal_dpi\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdpi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    431\u001b[0m             \u001b[0;31m# if toolbar:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    432\u001b[0m             \u001b[0;31m#     toolbar.set_cursor(cursors.WAIT)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 433\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    434\u001b[0m             \u001b[0;31m# A GUI class may be need to update a window using this draw, so\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    435\u001b[0m             \u001b[0;31m# don't forget to call the superclass.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     53\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 55\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     56\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1473\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1474\u001b[0m             mimage._draw_list_compositing_images(\n\u001b[0;32m-> 1475\u001b[0;31m                 renderer, self, artists, self.suppressComposite)\n\u001b[0m\u001b[1;32m   1476\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1477\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'figure'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    139\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 141\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    142\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     53\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 55\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     56\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, inframe)\u001b[0m\n\u001b[1;32m   2605\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2606\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2607\u001b[0;31m         \u001b[0mmimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2608\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2609\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axes'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    139\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 141\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    142\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     53\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 55\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     56\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1188\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1190\u001b[0;31m         \u001b[0mticks_to_draw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_update_ticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1191\u001b[0m         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,\n\u001b[1;32m   1192\u001b[0m                                                                 renderer)\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36m_update_ticks\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1026\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1027\u001b[0m         \u001b[0minterval\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_view_interval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1028\u001b[0;31m         \u001b[0mtick_tups\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter_ticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# iter_ticks calls the locator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1029\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_smart_bounds\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mtick_tups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1030\u001b[0m             \u001b[0;31m# handle inverted limits\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36miter_ticks\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    971\u001b[0m         \u001b[0mmajorLocs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmajor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlocator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    972\u001b[0m         \u001b[0mmajorTicks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_major_ticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmajorLocs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 973\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmajor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_locs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmajorLocs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    974\u001b[0m         majorLabels = [self.major.formatter(val, i)\n\u001b[1;32m    975\u001b[0m                        for i, val in enumerate(majorLocs)]\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/ticker.py\u001b[0m in \u001b[0;36mset_locs\u001b[0;34m(self, locs)\u001b[0m\n\u001b[1;32m    664\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    665\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_orderOfMagnitude\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 666\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_format\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    668\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_compute_offset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/matplotlib/ticker.py\u001b[0m in \u001b[0;36m_set_format\u001b[0;34m(self, vmin, vmax)\u001b[0m\n\u001b[1;32m    741\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    742\u001b[0m             \u001b[0m_locs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlocs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 743\u001b[0;31m         \u001b[0mlocs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_locs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moffset\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m10.\u001b[0m \u001b[0;34m**\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morderOfMagnitude\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    744\u001b[0m         \u001b[0mloc_range\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mptp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlocs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    745\u001b[0m         \u001b[0;31m# Curvilinear coordinates can yield two identical points.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
    "source": [
     "current_player.model.viewLayers()"
    ]
@@ -259,32 +405,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "from keras.utils import plot_model\n",
     "plot_model(current_NN.model, to_file=run_folder + 'models/model.png', show_shapes = True)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "deepreinforcement",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "deepreinforcement"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.13"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,
diff --git a/MCTS.py b/MCTS.py
index 76b18dac..0c656d22 100644
--- a/MCTS.py
+++ b/MCTS.py
@@ -82,9 +82,9 @@ def moveToLeaf(self):
 					
 				Q = edge.stats['Q']
 
-				lg.logger_mcts.info('action: %d (%d)... N = %d, P = %f, nu = %f, adjP = %f, W = %f, Q = %f, U = %f, Q+U = %f'
-					, action, action % 7, edge.stats['N'], np.round(edge.stats['P'],6), np.round(nu[idx],6), ((1-epsilon) * edge.stats['P'] + epsilon * nu[idx] )
-					, np.round(edge.stats['W'],6), np.round(Q,6), np.round(U,6), np.round(Q+U,6))
+				# lg.logger_mcts.info('action: %d (%d)... N = %d, P = %f, nu = %f, adjP = %f, W = %f, Q = %f, U = %f, Q+U = %f'
+				# 	, action, action % 7, edge.stats['N'], np.round(edge.stats['P'],6), np.round(nu[idx],6), ((1-epsilon) * edge.stats['P'] + epsilon * nu[idx] )
+				# 	, np.round(edge.stats['W'],6), np.round(Q,6), np.round(U,6), np.round(Q+U,6))
 
 				if Q + U > maxQU:
 					maxQU = Q + U
diff --git a/agent.py b/agent.py
index a6e5d01a..7d015e25 100644
--- a/agent.py
+++ b/agent.py
@@ -23,7 +23,8 @@ def __init__(self, name, state_size, action_size):
 		self.action_size = action_size
 
 	def act(self, state, tau):
-		action = input('Enter your chosen action: ')
+		print(tau)
+		action = int(input('Enter your chosen action: '))
 		pi = np.zeros(self.action_size)
 		pi[action] = 1
 		value = None
@@ -91,6 +92,8 @@ def act(self, state, tau):
 		####pick the action
 		action, value = self.chooseAction(pi, values, tau)
 
+		print("action:"+str(action))
+
 		nextState, _, _ = state.takeAction(action)
 
 		NN_value = -self.get_preds(nextState)[0]
diff --git a/blog.md b/blog.md
new file mode 100644
index 00000000..1c1ffe1b
--- /dev/null
+++ b/blog.md
@@ -0,0 +1,373 @@
+# Learning Chess with Machine Learning
+## Something Wrong with Stockfish
+In chess, some of the most legendary moves have been sacrifices. The Grandmasters would sacrifice their pieces to end up winning a game. Usually these sacrifices leaves these grandmasters down in material but up in a more favorable position (You don’t have as powerful of chess pieces, but the pieces that you do have are going to be a lot more active). These grandmasters would exploit the advantage and end up winning the game. However, many of the top chess programs such as stockfish would comment that these moves were not optimal. While stockfish is great at trying to maximize the material value, the evaluation function is designed by humans, which means that the way that it evaluates the board is limited by how well a human can evaluate a position. This leads for opportunities for exploitation.
+ This fact became apparent when the two programs played and Alphazero successfully limited Stockfish moves by pushing his pieces in a corner. However, Stockfish is thoroughly unaware that it is in any danger.
+
+![alt text]( https://github.com/supersteph/DeepReinforcementLearning/blob/master/images/Screenshot%20from%202018-04-25%2023-33-10.png)
+
+Alpha zero (white) traps the knight and rook and effectively renders Stockfish’s (black) pieces useless
+
+
+ One thing that the original chess engines have a lot of trouble with is sacrificing material. Because chess is a game with a big search tree, it is impossible to explore each node. In an effort to reduce the amount nodes it searches, all the engines will cut off the search prematurely. If the algorithim for cutting off the search is not optimal (like Stockfish is), then the engine is going to miss moves like the following.
+
+![alt text]( https://github.com/supersteph/DeepReinforcementLearning/blob/master/images/Screenshot%20from%202018-05-02%2019-16-06.png)
+
+
+In this position Stockfish suggest knight takes on f6. While this is a decent move, it misses bishop to h5, which the best move. There are two options: either the king takes the bishop which leads to a forced checkmate in 11 turns, or it runs away which leads to a loss of a knight.
+
+## Alpha Zero
+
+While Stockfish makes errors when in an effort to reduce the search space, the solution isn’t to explore the full search space. Instead of using an handcrafted algorithm to reduce the search tree, alpha zero algorithm uses Monte Carlo Tree Search to choose it’s actions. The general purpose of MCTS is to learn how to choose an action without exploring the entire gamespace.
+### Move Choosing
+Q+U
+We are going to choose our moves based on how big this value is higher. Q is going to be the mean reward for the state and U is how “unknown” this action is. In the beginning, when not much is going to be known about the values of the states, exploration is going to be preferred: so U is set up to have a higher value. However, as time progresses, we understand more about the value of the states through our neural net. In this instance, the winning of the game is more important so we set U to become smaller so that the algorithm makes the best moves.
+(this is a derivation of the multi-armed bandit problem)
+
+
+```python
+for idx, (action, edge) in enumerate(currentNode):
+
+
+
+	U = self.cpuct * \
+
+
+		((1-epsilon) * edge.stats['P'] + epsilon * nu[idx] )  * \
+
+
+		np.sqrt(Nb) / (1 + edge.stats['N'])
+
+
+		
+
+
+	Q = edge.stats['Q']
+
+
+
+
+
+
+	if Q + U > maxQU:
+
+
+		maxQU = Q + U
+
+
+		simulationAction = action
+
+
+		simulationEdge = edge
+```
+
+Finds the biggest q+u
+
+
+After you have chosen a move, execute that move to get to a node and proceed to the evaluation phase.
+The board is evaluated by a neural net employing convolutions. The Model is going to take in the game state and return the probability of the actions that you should take, and the value at the current state.
+
+
+```python
+value, probs, allowedActions = self.get_preds(leaf.state)
+Get the value and the probability function
+
+You expand on the search tree by adding the allowed actions 			
+for idx, action in enumerate(allowedActions):
+				newState, _, _ = leaf.state.takeAction(action)
+				if newState.id not in self.mcts.tree:
+					node = mc.Node(newState)
+					self.mcts.addNode(node)
+				else:
+					node = self.mcts.tree[newState.id]
+
+				newEdge = mc.Edge(leaf, node, probs[idx], action)
+				leaf.edges.append((action, newEdge))
+```
+
+(execute the neural net and add the possible nodes the the game tree)
+If there is a node that is there before then you add a new edge that returns to the node otherwise you add it to the tree
+
+You use the backfill to get the data you got from the bottom to the top. The intuition being that the moves you made at the very beginning affected the outcome of the game. Based on if you won the game or lost the neural net is going to have a better idea of what to do in the future. For every action you use a backfill process that notes the following things. The number of times you’ve been at each node (which is going to include it’s children), the mean value of the state and the value.
+
+```python
+for edge in breadcrumbs:
+	playerTurn = edge.playerTurn
+	if playerTurn == currentPlayer:
+		direction = 1
+	else:
+		direction = -1
+
+	edge.stats['N'] = edge.stats['N'] + 1
+	edge.stats['W'] = edge.stats['W'] + value * direction
+	edge.stats['Q'] = edge.stats['W'] / edge.stats['N']
+
+	edge.outNode.state.render(lg.logger_mcts)
+
+```
+
+By having two agents running this mcts algorithm and having them playing against each other. If one of them beats each other more than 55% of the time they are declared as the best player. This best player is going to be used for evaluating how good the network is.
+
+<br>
+
+
+<script language="JavaScript">
+var x = "krestik.gif";
+var o = "nolik.gif";
+var blank = "blank.jpg";
+var pause = 0;
+var all = 0;
+var a = 0;
+var b = 0;
+var c = 0;
+var d = 0;
+var e = 0;
+var f = 0;
+var g = 0;
+var h = 0;
+var i = 0;
+var temp="";
+var ok = 0;
+var cf = 0;
+var choice=9;
+var aRandomNumber = 0;
+var comp = 0; 
+var t = 0;
+var wn = 0;
+var ls = 0;
+var ts = 0;
+function logicOne() {
+	if ((a==1)&&(b==1)&&(c==1)) all=1;
+	if ((a==1)&&(d==1)&&(g==1)) all=1;
+	if ((a==1)&&(e==1)&&(i==1)) all=1;
+	if ((b==1)&&(e==1)&&(h==1)) all=1;
+	if ((d==1)&&(e==1)&&(f==1)) all=1;
+	if ((g==1)&&(h==1)&&(i==1)) all=1;
+	if ((c==1)&&(f==1)&&(i==1)) all=1;
+	if ((g==1)&&(e==1)&&(c==1)) all=1;
+	if ((a==2)&&(b==2)&&(c==2)) all=2;
+	if ((a==2)&&(d==2)&&(g==2)) all=2;
+	if ((a==2)&&(e==2)&&(i==2)) all=2;
+	if ((b==2)&&(e==2)&&(h==2)) all=2;
+	if ((d==2)&&(e==2)&&(f==2)) all=2;
+	if ((g==2)&&(h==2)&&(i==2)) all=2;
+	if ((c==2)&&(f==2)&&(i==2)) all=2;
+	if ((g==2)&&(e==2)&&(c==2)) all=2;
+	if ((a != 0)&&(b != 0)&&(c != 0)&&(d != 0)&&(e != 0)&&(f != 0)&&(g != 0)&&(h != 0)&&(i != 0)&&(all == 0)) all = 3;
+} 
+
+function clearOut() {
+	document.game.you.value="0";
+	document.game.computer.value="0";
+	document.game.ties.value="0";
+}
+function checkSpace() {
+	if ((temp=="A")&&(a==0)) {
+		ok=1;
+		if (cf==0) a=1;
+		if (cf==1) a=2;
+	}
+	if ((temp=="B")&&(b==0)) {
+		ok=1;
+		if (cf==0) b=1;
+		if (cf==1) b=2;
+	}
+	if ((temp=="C")&&(c==0)) {
+		ok=1;
+		if (cf==0) c=1;
+		if (cf==1) c=2;
+	}
+	if ((temp=="D")&&(d==0)) {
+		ok=1;
+		if (cf==0) d=1;
+		if (cf==1) d=2;
+	}
+	if ((temp=="E")&&(e==0)) {
+		ok=1;
+		if (cf==0) e=1;
+		if (cf==1) e=2;
+	}
+	if ((temp=="F")&&(f==0)) {
+		ok=1
+		if (cf==0) f=1;
+		if (cf==1) f=2;
+	}
+	if ((temp=="G")&&(g==0)) {
+		ok=1
+		if (cf==0) g=1;
+		if (cf==1) g=2;
+	}
+	if ((temp=="H")&&(h==0)) {
+		ok=1;
+		if (cf==0) h=1;
+		if (cf==1) h=2;
+	}
+	if ((temp=="I")&&(i==0)) {
+		ok=1;
+		if (cf==0) i=1; 
+		if (cf==1) i=2; 
+	}
+}
+function yourChoice(chName) {
+	pause = 0;
+	if (all!=0) ended();
+	if (all==0) {
+		cf = 0;
+		ok = 0;
+		temp=chName;
+		checkSpace();
+		if (ok==1) {
+			document.images[chName].src = x;
+		}
+		if (ok==0)taken();
+		process();
+		if ((all==0)&&(pause==0)) myChoice();
+	}
+}
+function taken() {
+	alert("This cell in not empty! Try another")
+	pause=1;
+}
+function myChoice() {
+	temp="";
+	ok = 0;
+	cf=1;
+	logicTwo();
+	logicThree();
+	checkSpace();
+	while(ok==0) {
+		aRandomNumber=Math.random()
+		comp=Math.round((choice-1)*aRandomNumber)+1;
+		if (comp==1) temp="A";
+		if (comp==2) temp="B";
+		if (comp==3) temp="C";
+		if (comp==4) temp="D";
+		if (comp==5) temp="E";
+		if (comp==6) temp="F";
+		if (comp==7) temp="G";
+		if (comp==8) temp="H";
+		if (comp==9) temp="I";
+		checkSpace();
+	}
+	document.images[temp].src= o;
+	process();
+}
+function ended() {
+	alert("Game over! To play once more press a button 'New Game'")
+}
+function process() {
+	logicOne();
+	if (all==1){ alert("You win!"); wn++; }
+	if (all==2){ alert("You lose!"); ls++; }
+	if (all==3){ alert("Draw!"); ts++; }
+	if (all!=0) {
+		document.game.you.value = wn;
+		document.game.computer.value = ls;
+		document.game.ties.value = ts;
+	}
+}
+function playAgain() {
+	if (all==0) {
+		if(confirm("Âû óâåðåíû ?")) reset();
+	}
+	if (all>0) reset();
+}
+function reset() {
+	all = 0;
+	a = 0;
+	b = 0;
+	c = 0;
+	d = 0;
+	e = 0;
+	f = 0;
+	g = 0;
+	h = 0;
+	i = 0;
+	temp="";
+	ok = 0;
+	cf = 0;
+	choice=9;
+	aRandomNumber = 0;
+	comp = 0;
+	document.images.A.src= blank;
+	document.images.B.src= blank;
+	document.images.C.src= blank;
+	document.images.D.src= blank;
+	document.images.E.src= blank;
+	document.images.F.src= blank;
+	document.images.G.src= blank;
+	document.images.H.src= blank;
+	document.images.I.src= blank;
+	if (t==0) { t=2; myChoice(); }
+	t--;
+}
+var ie4 = (document.all) ? true : false;
+var nn4 = (document.layers) ? true : false;
+</script> </p>
+
+<p><br>
+</p>
+
+<form name="game">
+<div align="center"><center><table border="0">
+<TBODY>
+<tr>
+<td><table border="1" borderColor="#000000" cellPadding="0" cellSpacing="0">
+<TBODY>
+<tr>
+<td><a href="javascript:yourChoice('A')"><img border="0" height="61" name="A"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('B')"><img border="0" height="61" name="B"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('C')"><img border="0" height="61" name="C"
+src="blank.jpg" width="56"></a></td>
+</tr>
+<tr>
+<td><a href="javascript:yourChoice('D')"><img border="0" height="61" name="D"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('E')"><img border="0" height="61" name="E"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('F')"><img border="0" height="61" name="F"
+src="blank.jpg" width="56"></a></td>
+</tr>
+<tr>
+<td><a href="javascript:yourChoice('G')"><img border="0" height="61" name="G"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('H')"><img border="0" height="61" name="H"
+src="blank.jpg" width="56"></a></td>
+<td><a href="javascript:yourChoice('I')"><img border="0" height="61" name="I"
+src="blank.jpg" width="56"></a></td>
+</tr>
+</TBODY>
+</table>
+</td>
+<td><table>
+<TBODY>
+<tr colspan="2">
+<td><font face="MS Sans Serif" size="1"><b>Score:</b></font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="you" size="5"
+style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">You</font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="computer" size="5"
+style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">Computer</font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="ties" size="5"
+style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">Draw</font></td>
+</tr>
+</TBODY>
+</table>
+</td>
+</tr>
+</TBODY>
+</table>
+</center></div><div align="center"><center><p><input onclick="playAgain();" type="button"
+value="New Game"
+style="font-family: MS Sans Serif; font-size: 1; font-weight: bold"> </p>
+</center></div>
+</form>
diff --git a/config.py b/config.py
index dd2c4c85..31f3afe9 100644
--- a/config.py
+++ b/config.py
@@ -1,5 +1,5 @@
 #### SELF PLAY
-EPISODES = 30
+EPISODES = 1
 MCTS_SIMS = 50
 MEMORY_SIZE = 30000
 TURNS_UNTIL_TAU0 = 10 # turn on which it starts playing deterministically
diff --git a/funcs.py b/funcs.py
index ecb82bff..53df6c0f 100644
--- a/funcs.py
+++ b/funcs.py
@@ -14,6 +14,7 @@ def playMatchesBetweenVersions(env, run_version, player1version, player2version,
     
     if player1version == -1:
         player1 = User('player1', env.state_size, env.action_size)
+        print("hello")
     else:
         player1_NN = Residual_CNN(config.REG_CONST, config.LEARNING_RATE, env.input_shape,   env.action_size, config.HIDDEN_CNN_LAYERS)
 
@@ -38,14 +39,11 @@ def playMatchesBetweenVersions(env, run_version, player1version, player2version,
 
 
 def playMatches(player1, player2, EPISODES, logger, turns_until_tau0, memory = None, goes_first = 0):
-
     env = Game()
     scores = {player1.name:0, "drawn": 0, player2.name:0}
     sp_scores = {'sp':0, "drawn": 0, 'nsp':0}
     points = {player1.name:[], player2.name:[]}
-
     for e in range(EPISODES):
-
         logger.info('====================')
         logger.info('EPISODE %d OF %d', e+1, EPISODES)
         logger.info('====================')
@@ -79,6 +77,7 @@ def playMatches(player1, player2, EPISODES, logger, turns_until_tau0, memory = N
         env.gameState.render(logger)
 
         while done == 0:
+            print("hello from the while loop")
             turn = turn + 1
     
             #### Run the MCTS algo and return an action
@@ -86,24 +85,25 @@ def playMatches(player1, player2, EPISODES, logger, turns_until_tau0, memory = N
                 action, pi, MCTS_value, NN_value = players[state.playerTurn]['agent'].act(state, 1)
             else:
                 action, pi, MCTS_value, NN_value = players[state.playerTurn]['agent'].act(state, 0)
-
-            if memory != None:
-                ####Commit the move to memory
-                memory.commit_stmemory(env.identities, state, pi)
-
-
-            logger.info('action: %d', action)
-            for r in range(env.grid_shape[0]):
-                logger.info(['----' if x == 0 else '{0:.2f}'.format(np.round(x,2)) for x in pi[env.grid_shape[1]*r : (env.grid_shape[1]*r + env.grid_shape[1])]])
-            logger.info('MCTS perceived value for %s: %f', state.pieces[str(state.playerTurn)] ,np.round(MCTS_value,2))
-            logger.info('NN perceived value for %s: %f', state.pieces[str(state.playerTurn)] ,np.round(NN_value,2))
-            logger.info('====================')
+            print(MCTS_value)
+            # if memory != None:
+            #     ####Commit the move to memory
+            #     memory.commit_stmemory(env.identities, state, pi)
+
+            print("hello from the middle of the stuff")
+            # logger.info('action: %d', action)
+            # for r in range(env.grid_shape[0]):
+            #     logger.info(['----' if x == 0 else '{0:.2f}'.format(np.round(x,2)) for x in pi[env.grid_shape[1]*r : (env.grid_shape[1]*r + env.grid_shape[1])]])
+            # logger.info('MCTS perceived value for %s: %f', state.pieces[str(state.playerTurn)] ,np.round(MCTS_value,2))
+            # logger.info('NN perceived value for %s: %f', state.pieces[str(state.playerTurn)] ,np.round(NN_value,2))
+            # logger.info('====================')
 
             ### Do the action
             state, value, done, _ = env.step(action) #the value of the newState from the POV of the new playerTurn i.e. -1 if the previous player played a winning move
             
             env.gameState.render(logger)
 
+            print("hello from the beggening of ifs")
             if done == 1: 
                 if memory != None:
                     #### If the game is finished, assign the values correctly to the game moves
@@ -140,5 +140,5 @@ def playMatches(player1, player2, EPISODES, logger, turns_until_tau0, memory = N
                 pts = state.score
                 points[players[state.playerTurn]['name']].append(pts[0])
                 points[players[-state.playerTurn]['name']].append(pts[1])
-
+    print("hello?")
     return (scores, memory, points, sp_scores)
diff --git a/game.py b/game.py
index 3355a77e..aba280d0 100644
--- a/game.py
+++ b/game.py
@@ -5,17 +5,17 @@ class Game:
 
 	def __init__(self):		
 		self.currentPlayer = 1
-		self.gameState = GameState(np.array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], dtype=np.int), 1)
-		self.actionSpace = np.array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], dtype=np.int)
+		self.gameState = GameState(np.array([0,0,0,0,0,0,0,0,0], dtype=np.int), 1)
+		self.actionSpace = np.array([0,0,0,0,0,0,0,0,0], dtype=np.int)
 		self.pieces = {'1':'X', '0': '-', '-1':'O'}
-		self.grid_shape = (6,7)
-		self.input_shape = (2,6,7)
-		self.name = 'connect4'
+		self.grid_shape = (3,3)
+		self.input_shape = (2,3,3)
+		self.name = 'tictac'
 		self.state_size = len(self.gameState.binary)
 		self.action_size = len(self.actionSpace)
 
 	def reset(self):
-		self.gameState = GameState(np.array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], dtype=np.int), 1)
+		self.gameState = GameState(np.array([0,0,0,0,0,0,0,0,0], dtype=np.int), 1)
 		self.currentPlayer = 1
 		return self.gameState
 
@@ -33,21 +33,15 @@ def identities(self, state, actionValues):
 		currentAV = actionValues
 
 		currentBoard = np.array([
-			  currentBoard[6], currentBoard[5],currentBoard[4], currentBoard[3], currentBoard[2], currentBoard[1], currentBoard[0]
-			, currentBoard[13], currentBoard[12],currentBoard[11], currentBoard[10], currentBoard[9], currentBoard[8], currentBoard[7]
-			, currentBoard[20], currentBoard[19],currentBoard[18], currentBoard[17], currentBoard[16], currentBoard[15], currentBoard[14]
-			, currentBoard[27], currentBoard[26],currentBoard[25], currentBoard[24], currentBoard[23], currentBoard[22], currentBoard[21]
-			, currentBoard[34], currentBoard[33],currentBoard[32], currentBoard[31], currentBoard[30], currentBoard[29], currentBoard[28]
-			, currentBoard[41], currentBoard[40],currentBoard[39], currentBoard[38], currentBoard[37], currentBoard[36], currentBoard[35]
+			  currentBoard[2], currentBoard[1], currentBoard[0],
+			  currentBoard[5], currentBoard[4], currentBoard[3]
+			, currentBoard[8], currentBoard[7],currentBoard[6]
 			])
 
 		currentAV = np.array([
-			currentAV[6], currentAV[5],currentAV[4], currentAV[3], currentAV[2], currentAV[1], currentAV[0]
-			, currentAV[13], currentAV[12],currentAV[11], currentAV[10], currentAV[9], currentAV[8], currentAV[7]
-			, currentAV[20], currentAV[19],currentAV[18], currentAV[17], currentAV[16], currentAV[15], currentAV[14]
-			, currentAV[27], currentAV[26],currentAV[25], currentAV[24], currentAV[23], currentAV[22], currentAV[21]
-			, currentAV[34], currentAV[33],currentAV[32], currentAV[31], currentAV[30], currentAV[29], currentAV[28]
-			, currentAV[41], currentAV[40],currentAV[39], currentAV[38], currentAV[37], currentAV[36], currentAV[35]
+				currentBoard[2], currentBoard[1], currentBoard[0],
+			  	currentBoard[5], currentBoard[4], currentBoard[3], 
+			  	currentBoard[8], currentBoard[7],currentBoard[6]
 					])
 
 		identities.append((GameState(currentBoard, state.playerTurn), currentAV))
@@ -60,78 +54,14 @@ def __init__(self, board, playerTurn):
 		self.board = board
 		self.pieces = {'1':'X', '0': '-', '-1':'O'}
 		self.winners = [
-			[0,1,2,3],
-			[1,2,3,4],
-			[2,3,4,5],
-			[3,4,5,6],
-			[7,8,9,10],
-			[8,9,10,11],
-			[9,10,11,12],
-			[10,11,12,13],
-			[14,15,16,17],
-			[15,16,17,18],
-			[16,17,18,19],
-			[17,18,19,20],
-			[21,22,23,24],
-			[22,23,24,25],
-			[23,24,25,26],
-			[24,25,26,27],
-			[28,29,30,31],
-			[29,30,31,32],
-			[30,31,32,33],
-			[31,32,33,34],
-			[35,36,37,38],
-			[36,37,38,39],
-			[37,38,39,40],
-			[38,39,40,41],
-
-			[0,7,14,21],
-			[7,14,21,28],
-			[14,21,28,35],
-			[1,8,15,22],
-			[8,15,22,29],
-			[15,22,29,36],
-			[2,9,16,23],
-			[9,16,23,30],
-			[16,23,30,37],
-			[3,10,17,24],
-			[10,17,24,31],
-			[17,24,31,38],
-			[4,11,18,25],
-			[11,18,25,32],
-			[18,25,32,39],
-			[5,12,19,26],
-			[12,19,26,33],
-			[19,26,33,40],
-			[6,13,20,27],
-			[13,20,27,34],
-			[20,27,34,41],
-
-			[3,9,15,21],
-			[4,10,16,22],
-			[10,16,22,28],
-			[5,11,17,23],
-			[11,17,23,29],
-			[17,23,29,35],
-			[6,12,18,24],
-			[12,18,24,30],
-			[18,24,30,36],
-			[13,19,25,31],
-			[19,25,31,37],
-			[20,26,32,38],
-
-			[3,11,19,27],
-			[2,10,18,26],
-			[10,18,26,34],
-			[1,9,17,25],
-			[9,17,25,33],
-			[17,25,33,41],
-			[0,8,16,24],
-			[8,16,24,32],
-			[16,24,32,40],
-			[7,15,23,31],
-			[15,23,31,39],
-			[14,22,30,38],
+			[0,1,2],
+			[3,4,5],
+			[6,7,8],
+			[0,3,6],
+			[1,4,7],
+			[2,5,8],
+			[0,4,8],
+			[2,4,6],			
 			]
 		self.playerTurn = playerTurn
 		self.binary = self._binary()
@@ -144,12 +74,8 @@ def __init__(self, board, playerTurn):
 	def _allowedActions(self):
 		allowed = []
 		for i in range(len(self.board)):
-			if i >= len(self.board) - 7:
-				if self.board[i]==0:
-					allowed.append(i)
-			else:
-				if self.board[i] == 0 and self.board[i+7] != 0:
-					allowed.append(i)
+			if self.board[i] == 0:
+				allowed.append(i)
 
 		return allowed
 
@@ -179,11 +105,11 @@ def _convertStateToId(self):
 		return id
 
 	def _checkForEndGame(self):
-		if np.count_nonzero(self.board) == 42:
+		if np.count_nonzero(self.board) == 9:
 			return 1
 
-		for x,y,z,a in self.winners:
-			if (self.board[x] + self.board[y] + self.board[z] + self.board[a] == 4 * -self.playerTurn):
+		for x,y,z in self.winners:
+			if (self.board[x] + self.board[y] + self.board[z] == 3 * -self.playerTurn):
 				return 1
 		return 0
 
@@ -191,8 +117,8 @@ def _checkForEndGame(self):
 	def _getValue(self):
 		# This is the value of the state for the current player
 		# i.e. if the previous player played a winning move, you lose
-		for x,y,z,a in self.winners:
-			if (self.board[x] + self.board[y] + self.board[z] + self.board[a] == 4 * -self.playerTurn):
+		for x,y,z in self.winners:
+			if (self.board[x] + self.board[y] + self.board[z] == 3 * -self.playerTurn):
 				return (-1, -1, 1)
 		return (0, 0, 0)
 
diff --git a/images/Screenshot from 2018-04-25 23-33-10.png b/images/Screenshot from 2018-04-25 23-33-10.png
new file mode 100644
index 00000000..0f6f4f4d
Binary files /dev/null and b/images/Screenshot from 2018-04-25 23-33-10.png differ
diff --git a/images/Screenshot from 2018-05-02 19-16-06.png b/images/Screenshot from 2018-05-02 19-16-06.png
new file mode 100644
index 00000000..1e7b265d
Binary files /dev/null and b/images/Screenshot from 2018-05-02 19-16-06.png differ
diff --git a/model.py b/model.py
index a98b27e8..bd440711 100644
--- a/model.py
+++ b/model.py
@@ -36,7 +36,7 @@ def write(self, game, version):
 		self.model.save(run_folder + 'models/version' + "{0:0>4}".format(version) + '.h5')
 
 	def read(self, game, run_number, version):
-		return load_model( run_archive_folder + game + '/run' + str(run_number).zfill(4) + "/models/version" + "{0:0>4}".format(version) + '.h5', custom_objects={'softmax_cross_entropy_with_logits': softmax_cross_entropy_with_logits})
+		return load_model( run_archive_folder + game + '/run0001' + "/models/version" + "{0:0>4}".format(version) + '.h5', custom_objects={'softmax_cross_entropy_with_logits': softmax_cross_entropy_with_logits})
 
 	def printWeightAverages(self):
 		layers = self.model.layers
diff --git a/run.ipynb b/run.ipynb
index d8f42f46..a6c84c9c 100644
--- a/run.ipynb
+++ b/run.ipynb
@@ -18,24 +18,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# -*- coding: utf-8 -*-\n",
     "# %matplotlib inline\n",
     "%load_ext autoreload\n",
     "%autoreload 2\n",
     "\n",
+    "!git clone https://github.com/supersteph/DeepReinforcementLearning.git\n",
+    "!mv DeepReinforcementLearning/* .\n",
+    "\n",
+    "%load agent.py\n",
+    "%load config.py\n",
+    "%load funcs.py\n",
+    "%load game.py\n",
+    "%load initialise.py\n",
+    "%load loggers.py\n",
+    "%load loss.py\n",
+    "%load main.py\n",
+    "%load memory.py\n",
+    "%load model.py\n",
+    "%load settings.py\n",
+    "%load utils.py\n",
     "import numpy as np\n",
     "np.set_printoptions(suppress=True)\n",
     "\n",
@@ -72,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -84,7 +90,7 @@
       "ITERATION NUMBER 1\n",
       "BEST PLAYER VERSION 0\n",
       "SELF PLAYING 30 EPISODES...\n",
-      "1 2 "
+      "1 "
      ]
     },
     {
@@ -94,13 +100,15 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-d4b5dcf02dd7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;31m######## SELF PLAY ########\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SELF PLAYING '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' EPISODES...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m     \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayMatches\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_main\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mturns_until_tau0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTURNS_UNTIL_TAU0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     66\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/funcs.py\u001b[0m in \u001b[0;36mplayMatches\u001b[0;34m(player1, player2, EPISODES, logger, turns_until_tau0, memory, goes_first)\u001b[0m\n\u001b[1;32m     84\u001b[0m             \u001b[0;31m#### Run the MCTS algo and return an action\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mturn\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mturns_until_tau0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mact\u001b[0;34m(self, state, tau)\u001b[0m\n\u001b[1;32m     84\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'****** SIMULATION %d ******'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'***************************'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0;31m#### get action values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36msimulate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0;31m##### EVALUATE THE LEAF NODE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluateLeaf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleaf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0;31m##### BACKFILL THE VALUE THROUGH THE TREE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mevaluateLeaf\u001b[0;34m(self, leaf, value, done, breadcrumbs)\u001b[0m\n\u001b[1;32m    140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m                         \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maction\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mallowedActions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m                                 \u001b[0mnewState\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mleaf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtakeAction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    143\u001b[0m                                 \u001b[0;32mif\u001b[0m \u001b[0mnewState\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                                         \u001b[0mnode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewState\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/game.py\u001b[0m in \u001b[0;36mtakeAction\u001b[0;34m(self, action)\u001b[0m\n\u001b[1;32m    209\u001b[0m                 \u001b[0mnewBoard\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    210\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m                 \u001b[0mnewState\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGameState\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewBoard\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    213\u001b[0m                 \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/game.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, board, playerTurn)\u001b[0m\n\u001b[1;32m    121\u001b[0m                         \u001b[0;34m[\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m26\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m38\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 123\u001b[0;31m                         \u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m19\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m27\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    124\u001b[0m                         \u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m18\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m26\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m                         \u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m18\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m26\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m34\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-2-d4b5dcf02dd7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0;31m######## SELF PLAY ########\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SELF PLAYING '\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' EPISODES...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m     \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayMatches\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbest_player\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEPISODES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_main\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mturns_until_tau0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTURNS_UNTIL_TAU0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     66\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\n'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/funcs.py\u001b[0m in \u001b[0;36mplayMatches\u001b[0;34m(player1, player2, EPISODES, logger, turns_until_tau0, memory, goes_first)\u001b[0m\n\u001b[1;32m     84\u001b[0m             \u001b[0;31m#### Run the MCTS algo and return an action\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mturn\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mturns_until_tau0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36mact\u001b[0;34m(self, state, tau)\u001b[0m\n\u001b[1;32m     84\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'****** SIMULATION %d ******'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'***************************'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0;31m#### get action values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36msimulate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0;31m##### EVALUATE THE LEAF NODE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluateLeaf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleaf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0;31m##### BACKFILL THE VALUE THROUGH THE TREE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/agent.py\u001b[0m in \u001b[0;36mevaluateLeaf\u001b[0;34m(self, leaf, value, done, breadcrumbs)\u001b[0m\n\u001b[1;32m    140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m                         \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maction\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mallowedActions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 142\u001b[0;31m                                 \u001b[0mnewState\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mleaf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtakeAction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    143\u001b[0m                                 \u001b[0;32mif\u001b[0m \u001b[0mnewState\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtree\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                                         \u001b[0mnode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewState\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36mtakeAction\u001b[0;34m(self, action)\u001b[0m\n\u001b[1;32m    135\u001b[0m                 \u001b[0mnewBoard\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 137\u001b[0;31m                 \u001b[0mnewState\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGameState\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnewBoard\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    139\u001b[0m                 \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, board, playerTurn)\u001b[0m\n\u001b[1;32m     66\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayerTurn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_binary\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convertStateToId\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mallowedActions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_allowedActions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misEndGame\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_checkForEndGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/game.py\u001b[0m in \u001b[0;36m_convertStateToId\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    101\u001b[0m                 \u001b[0mposition\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplayer1_position\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mother_position\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    102\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m                 \u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m''\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mposition\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    104\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    105\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/numpy/core/numeric.py\u001b[0m in \u001b[0;36marray_str\u001b[0;34m(a, max_line_width, precision, suppress_small)\u001b[0m\n\u001b[1;32m   1903\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1904\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1905\u001b[0;31m \u001b[0;32mdef\u001b[0m \u001b[0marray_str\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_line_width\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprecision\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msuppress_small\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1906\u001b[0m     \"\"\"\n\u001b[1;32m   1907\u001b[0m     \u001b[0mReturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0mstring\u001b[0m \u001b[0mrepresentation\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32min\u001b[0m \u001b[0man\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
@@ -240,21 +248,6 @@
    "execution_count": 2,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From /Users/davidfoster/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/loss.py:15: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "\n",
-      "Future major versions of TensorFlow will allow gradients to flow\n",
-      "into the labels input on backprop by default.\n",
-      "\n",
-      "See tf.nn.softmax_cross_entropy_with_logits_v2.\n",
-      "\n",
-      "1 "
-     ]
-    },
     {
      "ename": "KeyboardInterrupt",
      "evalue": "",
@@ -262,22 +255,15 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-2-1e9b80eae750>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0menv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mplayMatchesBetweenVersions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_tourney\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/funcs.py\u001b[0m in \u001b[0;36mplayMatchesBetweenVersions\u001b[0;34m(env, run_version, player1version, player2version, EPISODES, logger, turns_until_tau0, goes_first)\u001b[0m\n\u001b[1;32m     33\u001b[0m         \u001b[0mplayer2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAgent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'player2'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maction_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMCTS_SIMS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCPUCT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 35\u001b[0;31m     \u001b[0mscores\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msp_scores\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayMatches\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplayer1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mEPISODES\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlogger\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mturns_until_tau0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgoes_first\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     36\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     37\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mscores\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmemory\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msp_scores\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/funcs.py\u001b[0m in \u001b[0;36mplayMatches\u001b[0;34m(player1, player2, EPISODES, logger, turns_until_tau0, memory, goes_first)\u001b[0m\n\u001b[1;32m     86\u001b[0m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m                 \u001b[0maction\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMCTS_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNN_value\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayers\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'agent'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mmemory\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mact\u001b[0;34m(self, state, tau)\u001b[0m\n\u001b[1;32m     84\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'****** SIMULATION %d ******'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'***************************'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     87\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     88\u001b[0m                 \u001b[0;31m#### get action values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36msimulate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     67\u001b[0m                 \u001b[0;31m##### EVALUATE THE LEAF NODE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 68\u001b[0;31m                 \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevaluateLeaf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleaf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbreadcrumbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m                 \u001b[0;31m##### BACKFILL THE VALUE THROUGH THE TREE\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mevaluateLeaf\u001b[0;34m(self, leaf, value, done, breadcrumbs)\u001b[0m\n\u001b[1;32m    134\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mdone\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    135\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 136\u001b[0;31m                         \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprobs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallowedActions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_preds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mleaf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    137\u001b[0m                         \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_mcts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'PREDICTED VALUE FOR %d: %f'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mleaf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplayerTurn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/agent.py\u001b[0m in \u001b[0;36mget_preds\u001b[0;34m(self, state)\u001b[0m\n\u001b[1;32m    108\u001b[0m                 \u001b[0minputToModel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvertToModelInput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 110\u001b[0;31m                 \u001b[0mpreds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputToModel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m                 \u001b[0mvalue_array\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpreds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m                 \u001b[0mlogits_array\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpreds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Git/ADSP/Public/AppliedDataSciencePartners/DeepReinforcementLearning/app/model.py\u001b[0m in \u001b[0;36mpredict\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 30\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstates\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtargets\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalidation_split\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36mpredict\u001b[0;34m(self, x, batch_size, verbose, steps)\u001b[0m\n\u001b[1;32m   1833\u001b[0m         \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict_function\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1834\u001b[0m         return self._predict_loop(f, ins, batch_size=batch_size,\n\u001b[0;32m-> 1835\u001b[0;31m                                   verbose=verbose, steps=steps)\n\u001b[0m\u001b[1;32m   1836\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1837\u001b[0m     def train_on_batch(self, x, y,\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/keras/engine/training.py\u001b[0m in \u001b[0;36m_predict_loop\u001b[0;34m(self, f, ins, batch_size, verbose, steps)\u001b[0m\n\u001b[1;32m   1328\u001b[0m                     \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mins_batch\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1329\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1330\u001b[0;31m                 \u001b[0mbatch_outs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mins_batch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1331\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_outs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1332\u001b[0m                     \u001b[0mbatch_outs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mbatch_outs\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, inputs)\u001b[0m\n\u001b[1;32m   2476\u001b[0m         \u001b[0msession\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2477\u001b[0m         updated = session.run(fetches=fetches, feed_dict=feed_dict,\n\u001b[0;32m-> 2478\u001b[0;31m                               **self.session_kwargs)\n\u001b[0m\u001b[1;32m   2479\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mupdated\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2480\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    903\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    904\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 905\u001b[0;31m                          run_metadata_ptr)\n\u001b[0m\u001b[1;32m    906\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    907\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m   1135\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1136\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m-> 1137\u001b[0;31m                              feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[1;32m   1138\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1139\u001b[0m       \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m   1353\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1354\u001b[0m       return self._do_call(_run_fn, self._session, feeds, fetches, targets,\n\u001b[0;32m-> 1355\u001b[0;31m                            options, run_metadata)\n\u001b[0m\u001b[1;32m   1356\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1357\u001b[0m       \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m   1359\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1360\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1361\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1362\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1363\u001b[0m       \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.virtualenvs/py3_deepreinforcement/lib/python3.6/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m   1338\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1339\u001b[0m           return tf_session.TF_Run(session, options, feed_dict, fetch_list,\n\u001b[0;32m-> 1340\u001b[0;31m                                    target_list, status, run_metadata)\n\u001b[0m\u001b[1;32m   1341\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1342\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_prun_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-2-d30708289825>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0menv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mplayMatchesBetweenVersions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogger_tourney\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/git/DeepReinforcementLearning/funcs.py\u001b[0m in \u001b[0;36mplayMatchesBetweenVersions\u001b[0;34m(env, run_version, player1version, player2version, EPISODES, logger, turns_until_tau0, goes_first)\u001b[0m\n\u001b[1;32m     31\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mplayer2version\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m             \u001b[0mplayer2_network\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrun_version\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2version\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 33\u001b[0;31m             \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_weights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplayer2_network\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_weights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     34\u001b[0m         \u001b[0mplayer2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAgent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'player2'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maction_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMCTS_SIMS\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCPUCT\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mplayer2_NN\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.5/dist-packages/keras/engine/topology.py\u001b[0m in \u001b[0;36mset_weights\u001b[0;34m(self, weights)\u001b[0m\n\u001b[1;32m   2005\u001b[0m                 \u001b[0mtuples\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2006\u001b[0m             \u001b[0mweights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mweights\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnum_param\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2007\u001b[0;31m         \u001b[0mK\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_set_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtuples\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2008\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2009\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py\u001b[0m in \u001b[0;36mbatch_set_value\u001b[0;34m(tuples)\u001b[0m\n\u001b[1;32m   2250\u001b[0m             \u001b[0massign_ops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0massign_op\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2251\u001b[0m             \u001b[0mfeed_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0massign_placeholder\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2252\u001b[0;31m         \u001b[0mget_session\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0massign_ops\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfeed_dict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2253\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2254\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    787\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    788\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[0;32m--> 789\u001b[0;31m                          run_metadata_ptr)\n\u001b[0m\u001b[1;32m    790\u001b[0m       \u001b[0;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    791\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m    995\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    996\u001b[0m       results = self._do_run(handle, final_targets, final_fetches,\n\u001b[0;32m--> 997\u001b[0;31m                              feed_dict_string, options, run_metadata)\n\u001b[0m\u001b[1;32m    998\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    999\u001b[0m       \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_run\u001b[0;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[1;32m   1130\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1131\u001b[0m       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,\n\u001b[0;32m-> 1132\u001b[0;31m                            target_list, options, run_metadata)\n\u001b[0m\u001b[1;32m   1133\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1134\u001b[0m       return self._do_call(_prun_fn, self._session, handle, feed_dict,\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_do_call\u001b[0;34m(self, fn, *args)\u001b[0m\n\u001b[1;32m   1137\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m_do_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1138\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1139\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1140\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1141\u001b[0m       \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mas_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[0;34m(session, feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[1;32m   1119\u001b[0m         return tf_session.TF_Run(session, options,\n\u001b[1;32m   1120\u001b[0m                                  \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1121\u001b[0;31m                                  status, run_metadata)\n\u001b[0m\u001b[1;32m   1122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1123\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_prun_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msession\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
      ]
     }
@@ -288,7 +274,7 @@
     "import loggers as lg\n",
     "\n",
     "env = Game()\n",
-    "playMatchesBetweenVersions(env, 1, 1, 1, 10, lg.logger_tourney, 0)"
+    "playMatchesBetweenVersions(env, 1, -1, 1, 10, lg.logger_tourney, 0)"
    ]
   },
   {
@@ -427,6 +413,27 @@
     "plot_model(current_NN.model, to_file=run_folder + 'models/model.png', show_shapes = True)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -437,9 +444,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "py3_deepreinforcement",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "py3_deepreinforcement"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -451,7 +458,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,
diff --git a/tictac/.cache/00595da83bc726ced9a89bf5d5bae0aa.json b/tictac/.cache/00595da83bc726ced9a89bf5d5bae0aa.json
new file mode 100644
index 00000000..36c032b6
--- /dev/null
+++ b/tictac/.cache/00595da83bc726ced9a89bf5d5bae0aa.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/readable-stream/package.json","includedInParent":true,"mtime":499162500000},{"name":"./_stream_duplex","loc":{"line":68,"column":21}},{"name":"core-util-is","loc":{"line":71,"column":19}},{"name":"inherits","loc":{"line":72,"column":24}}],"generated":{"js":"// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a transform stream is a readable/writable stream where you do\n// something with the data.  Sometimes it's called a \"filter\",\n// but that's not a great name for it, since that implies a thing where\n// some bits pass through, and others are simply ignored.  (That would\n// be a valid example of a transform, of course.)\n//\n// While the output is causally related to the input, it's not a\n// necessarily symmetric or synchronous transformation.  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IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a transform stream is a readable/writable stream where you do\n// something with the data.  Sometimes it's called a \"filter\",\n// but that's not a great name for it, since that implies a thing where\n// some bits pass through, and others are simply ignored.  (That would\n// be a valid example of a transform, of course.)\n//\n// While the output is causally related to the input, it's not a\n// necessarily symmetric or synchronous transformation.  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If consuming a single\n// written chunk would result in multiple output chunks, then the first\n// outputted bit calls the readcb, and subsequent chunks just go into\n// the read buffer, and will cause it to emit 'readable' if necessary.\n//\n// This way, back-pressure is actually determined by the reading side,\n// since _read has to be called to start processing a new chunk.  However,\n// a pathological inflate type of transform can cause excessive buffering\n// here.  For example, imagine a stream where every byte of input is\n// interpreted as an integer from 0-255, and then results in that many\n// bytes of output.  Writing the 4 bytes {ff,ff,ff,ff} would result in\n// 1kb of data being output.  In this case, you could write a very small\n// amount of input, and end up with a very large amount of output.  In\n// such a pathological inflating mechanism, there'd be no way to tell\n// the system to stop doing the transform.  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new file mode 100644
index 00000000..0f78f274
--- /dev/null
+++ b/tictac/.cache/012cc973be1c1b82cd2ad9e27047b468.json
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new file mode 100644
index 00000000..4cbbd574
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+++ b/tictac/.cache/016de7cc6bc1924574b2fd6a0f46ca08.json
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this._e | 0\n\n  var ar = this._a | 0\n  var br = this._b | 0\n  var cr = this._c | 0\n  var dr = this._d | 0\n  var er = this._e | 0\n\n  // computation\n  for (var i = 0; i < 80; i += 1) {\n    var tl\n    var tr\n    if (i < 16) {\n      tl = fn1(al, bl, cl, dl, el, words[zl[i]], hl[0], sl[i])\n      tr = fn5(ar, br, cr, dr, er, words[zr[i]], hr[0], sr[i])\n    } else if (i < 32) {\n      tl = fn2(al, bl, cl, dl, el, words[zl[i]], hl[1], sl[i])\n      tr = fn4(ar, br, cr, dr, er, words[zr[i]], hr[1], sr[i])\n    } else if (i < 48) {\n      tl = fn3(al, bl, cl, dl, el, words[zl[i]], hl[2], sl[i])\n      tr = fn3(ar, br, cr, dr, er, words[zr[i]], hr[2], sr[i])\n    } else if (i < 64) {\n      tl = fn4(al, bl, cl, dl, el, words[zl[i]], hl[3], sl[i])\n      tr = fn2(ar, br, cr, dr, er, words[zr[i]], hr[3], sr[i])\n    } else { // if (i<80) {\n      tl = fn5(al, bl, cl, dl, el, words[zl[i]], hl[4], sl[i])\n      tr = fn1(ar, br, cr, dr, er, words[zr[i]], hr[4], sr[i])\n    }\n\n    al = 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diff --git a/tictac/.cache/05450225963141b79b720cd619cfa1eb.json b/tictac/.cache/05450225963141b79b720cd619cfa1eb.json
new file mode 100644
index 00000000..140591f7
--- /dev/null
+++ b/tictac/.cache/05450225963141b79b720cd619cfa1eb.json
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                          break;\n                        default:\n                            throw new Error(\"Unsupported param type: \" + param.type + \" for op: \" + node.op);\n                    }\n                }\n                map[param.dlParamName] = { value: value, inputIndex: inputIndex, type: type, inputParamLength: inputParamLength };\n                return map;\n            }, {});\n        }\n        return newNode;\n    };\n    OperationMapper.prototype.getStringParam = function (attrs, name, def, keepCase) {\n        if (keepCase === void 0) {\n            keepCase = false;\n        }\n        var param = attrs[name];\n        if (param !== undefined) {\n            var value = String.fromCharCode.apply(null, param.s);\n            return keepCase ? value : value.toLowerCase();\n        }\n        return def;\n    };\n    OperationMapper.prototype.getBoolParam = function (attrs, name, def) {\n        var param = attrs[name];\n        return param ? param.b : 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attrs[name];\n        if (param && param.shape) {\n            return param.shape.dim.map(function (dim) {\n                return dim.size;\n            });\n        }\n        return def;\n    };\n    OperationMapper.prototype.getNumericArrayParam = function (attrs, name, def) {\n        var param = attrs[name];\n        if (param) {\n            return (param.list.f && param.list.f.length ? param.list.f : param.list.i).map(function (v) {\n                return typeof v === 'number' ? v : v['toInt']();\n            });\n        }\n        return def;\n    };\n    return OperationMapper;\n}();\nexports.OperationMapper = OperationMapper;\n//# 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new file mode 100644
index 00000000..ce542be2
--- /dev/null
+++ b/tictac/.cache/094195997b72daae76cb777fc7dca6bd.json
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diff --git a/tictac/.cache/09ce3efe2f3ec12b9ddf9ae97ff5a474.json b/tictac/.cache/09ce3efe2f3ec12b9ddf9ae97ff5a474.json
new file mode 100644
index 00000000..5768c8a2
--- /dev/null
+++ b/tictac/.cache/09ce3efe2f3ec12b9ddf9ae97ff5a474.json
@@ -0,0 +1 @@
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diff --git a/tictac/.cache/0ac04bfce05cc74e7ab96c29a52ee837.json b/tictac/.cache/0ac04bfce05cc74e7ab96c29a52ee837.json
new file mode 100644
index 00000000..7679412e
--- /dev/null
+++ b/tictac/.cache/0ac04bfce05cc74e7ab96c29a52ee837.json
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this.recoveryParam = null;\n\n  return true;\n};\n\nfunction constructLength(arr, len) {\n  if (len < 0x80) {\n    arr.push(len);\n    return;\n  }\n  var octets = 1 + (Math.log(len) / Math.LN2 >>> 3);\n  arr.push(octets | 0x80);\n  while (--octets) {\n    arr.push((len >>> (octets << 3)) & 0xff);\n  }\n  arr.push(len);\n}\n\nSignature.prototype.toDER = function toDER(enc) {\n  var r = this.r.toArray();\n  var s = this.s.toArray();\n\n  // Pad values\n  if (r[0] & 0x80)\n    r = [ 0 ].concat(r);\n  // Pad values\n  if (s[0] & 0x80)\n    s = [ 0 ].concat(s);\n\n  r = rmPadding(r);\n  s = rmPadding(s);\n\n  while (!s[0] && !(s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n  var arr = [ 0x02 ];\n  constructLength(arr, r.length);\n  arr = arr.concat(r);\n  arr.push(0x02);\n  constructLength(arr, s.length);\n  var backHalf = arr.concat(s);\n  var res = [ 0x30 ];\n  constructLength(res, backHalf.length);\n  res = res.concat(backHalf);\n  return utils.encode(res, 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new file mode 100644
index 00000000..99f60eb8
--- /dev/null
+++ b/tictac/.cache/0b8c900f657ede034ed8219f483e0ad2.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/buffer/package.json","includedInParent":true,"mtime":1471491989000},{"name":"base64-js","loc":{"line":11,"column":21}},{"name":"ieee754","loc":{"line":12,"column":22}},{"name":"isarray","loc":{"line":13,"column":22}},{"name":"buffer"}],"generated":{"js":"\nvar global = arguments[3];\n/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = require('base64-js')\nvar ieee754 = require('ieee754')\nvar isArray = require('isarray')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Use Object implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * Due to various browser bugs, sometimes the Object implementation will be used even\n * when the browser supports typed arrays.\n *\n * Note:\n *\n *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,\n *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.\n *\n *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + 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*   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + len),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if (code < 256) {\n        val = code\n      }\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : utf8ToBytes(new Buffer(val, encoding).toString())\n    var len = bytes.length\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+\\/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = stringtrim(str).replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction stringtrim (str) {\n  if (str.trim) return str.trim()\n  return str.replace(/^\\s+|\\s+$/g, '')\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    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[], []]\n  var INV_SUB_MIX = [[], [], [], []]\n\n  // Walk GF(2^8)\n  var x = 0\n  var xi = 0\n  for (var i = 0; i < 256; ++i) {\n    // Compute sbox\n    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)\n    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63\n    SBOX[x] = sx\n    INV_SBOX[sx] = x\n\n    // Compute multiplication\n    var x2 = d[x]\n    var x4 = d[x2]\n    var x8 = d[x4]\n\n    // Compute sub bytes, mix columns tables\n    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)\n    SUB_MIX[0][x] = (t << 24) | (t >>> 8)\n    SUB_MIX[1][x] = (t << 16) | (t >>> 16)\n    SUB_MIX[2][x] = (t << 8) | (t >>> 24)\n    SUB_MIX[3][x] = t\n\n    // Compute inv sub bytes, inv mix columns tables\n    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)\n    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)\n    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)\n    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)\n    INV_SUB_MIX[3][sx] = t\n\n    if (x === 0) {\n      x = xi = 1\n    } else {\n   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>>> 24] ^ SUB_MIX1[(s1 >>> 16) & 0xff] ^ SUB_MIX2[(s2 >>> 8) & 0xff] ^ SUB_MIX3[s3 & 0xff] ^ keySchedule[ksRow++]\n    t1 = SUB_MIX0[s1 >>> 24] ^ SUB_MIX1[(s2 >>> 16) & 0xff] ^ SUB_MIX2[(s3 >>> 8) & 0xff] ^ SUB_MIX3[s0 & 0xff] ^ keySchedule[ksRow++]\n    t2 = SUB_MIX0[s2 >>> 24] ^ SUB_MIX1[(s3 >>> 16) & 0xff] ^ SUB_MIX2[(s0 >>> 8) & 0xff] ^ SUB_MIX3[s1 & 0xff] ^ keySchedule[ksRow++]\n    t3 = SUB_MIX0[s3 >>> 24] ^ SUB_MIX1[(s0 >>> 16) & 0xff] ^ SUB_MIX2[(s1 >>> 8) & 0xff] ^ SUB_MIX3[s2 & 0xff] ^ keySchedule[ksRow++]\n    s0 = t0\n    s1 = t1\n    s2 = t2\n    s3 = t3\n  }\n\n  t0 = ((SBOX[s0 >>> 24] << 24) | (SBOX[(s1 >>> 16) & 0xff] << 16) | (SBOX[(s2 >>> 8) & 0xff] << 8) | SBOX[s3 & 0xff]) ^ keySchedule[ksRow++]\n  t1 = ((SBOX[s1 >>> 24] << 24) | (SBOX[(s2 >>> 16) & 0xff] << 16) | (SBOX[(s3 >>> 8) & 0xff] << 8) | SBOX[s0 & 0xff]) ^ keySchedule[ksRow++]\n  t2 = ((SBOX[s2 >>> 24] << 24) | (SBOX[(s3 >>> 16) & 0xff] << 16) | (SBOX[(s0 >>> 8) & 0xff] << 8) | SBOX[s1 & 0xff]) ^ keySchedule[ksRow++]\n  t3 = ((SBOX[s3 >>> 24] << 24) | (SBOX[(s0 >>> 16) & 0xff] << 16) | (SBOX[(s1 >>> 8) & 0xff] << 8) | SBOX[s2 & 0xff]) ^ keySchedule[ksRow++]\n  t0 = t0 >>> 0\n  t1 = t1 >>> 0\n  t2 = t2 >>> 0\n  t3 = t3 >>> 0\n\n  return [t0, t1, t2, t3]\n}\n\n// AES constants\nvar RCON = [0x00, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36]\nvar G = (function () {\n  // Compute double table\n  var d = new Array(256)\n  for (var j = 0; j < 256; j++) {\n    if (j < 128) {\n      d[j] = j << 1\n    } else {\n      d[j] = (j << 1) ^ 0x11b\n    }\n  }\n\n  var SBOX = []\n  var INV_SBOX = []\n  var SUB_MIX = [[], [], [], []]\n  var INV_SUB_MIX = [[], [], [], []]\n\n  // Walk GF(2^8)\n  var x = 0\n  var xi = 0\n  for (var i = 0; i < 256; ++i) {\n    // Compute sbox\n    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)\n    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63\n    SBOX[x] = sx\n    INV_SBOX[sx] = x\n\n    // Compute multiplication\n    var x2 = d[x]\n    var x4 = d[x2]\n    var x8 = d[x4]\n\n    // Compute sub bytes, mix columns tables\n    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)\n    SUB_MIX[0][x] = (t << 24) | (t >>> 8)\n    SUB_MIX[1][x] = (t << 16) | (t >>> 16)\n    SUB_MIX[2][x] = (t << 8) | (t >>> 24)\n    SUB_MIX[3][x] = t\n\n    // Compute inv sub bytes, inv mix columns tables\n    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)\n    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)\n    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)\n    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)\n    INV_SUB_MIX[3][sx] = t\n\n    if (x === 0) {\n      x = xi = 1\n    } else {\n      x = x2 ^ d[d[d[x8 ^ x2]]]\n      xi ^= d[d[xi]]\n    }\n  }\n\n  return {\n    SBOX: SBOX,\n    INV_SBOX: INV_SBOX,\n    SUB_MIX: SUB_MIX,\n    INV_SUB_MIX: INV_SUB_MIX\n  }\n})()\n\nfunction AES (key) {\n  this._key = asUInt32Array(key)\n  this._reset()\n}\n\nAES.blockSize = 4 * 4\nAES.keySize = 256 / 8\nAES.prototype.blockSize = AES.blockSize\nAES.prototype.keySize = AES.keySize\nAES.prototype._reset = function () {\n  var keyWords = this._key\n  var keySize = keyWords.length\n  var nRounds = keySize + 6\n  var ksRows = (nRounds + 1) * 4\n\n  var keySchedule = []\n  for (var k = 0; k < keySize; k++) {\n    keySchedule[k] = keyWords[k]\n  }\n\n  for (k = keySize; k < ksRows; k++) {\n    var t = keySchedule[k - 1]\n\n    if (k % keySize === 0) {\n      t = (t << 8) | (t >>> 24)\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n\n      t ^= RCON[(k / keySize) | 0] << 24\n    } else if (keySize > 6 && k % keySize === 4) {\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n    }\n\n    keySchedule[k] = keySchedule[k - keySize] ^ t\n  }\n\n  var invKeySchedule = []\n  for (var ik = 0; ik < ksRows; ik++) {\n    var ksR = ksRows - ik\n    var tt = keySchedule[ksR - (ik % 4 ? 0 : 4)]\n\n    if (ik < 4 || ksR <= 4) {\n      invKeySchedule[ik] = tt\n    } else {\n      invKeySchedule[ik] =\n        G.INV_SUB_MIX[0][G.SBOX[tt >>> 24]] ^\n        G.INV_SUB_MIX[1][G.SBOX[(tt >>> 16) & 0xff]] ^\n        G.INV_SUB_MIX[2][G.SBOX[(tt >>> 8) & 0xff]] ^\n        G.INV_SUB_MIX[3][G.SBOX[tt & 0xff]]\n    }\n  }\n\n  this._nRounds = nRounds\n  this._keySchedule = keySchedule\n  this._invKeySchedule = invKeySchedule\n}\n\nAES.prototype.encryptBlockRaw = function (M) {\n  M = asUInt32Array(M)\n  return cryptBlock(M, this._keySchedule, G.SUB_MIX, G.SBOX, this._nRounds)\n}\n\nAES.prototype.encryptBlock = function (M) {\n  var out = this.encryptBlockRaw(M)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[1], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[3], 12)\n  return buf\n}\n\nAES.prototype.decryptBlock = function (M) {\n  M = asUInt32Array(M)\n\n  // swap\n  var m1 = M[1]\n  M[1] = M[3]\n  M[3] = m1\n\n  var out = cryptBlock(M, this._invKeySchedule, G.INV_SUB_MIX, G.INV_SBOX, this._nRounds)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[3], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[1], 12)\n  return buf\n}\n\nAES.prototype.scrub = function () {\n  scrubVec(this._keySchedule)\n  scrubVec(this._invKeySchedule)\n  scrubVec(this._key)\n}\n\nmodule.exports.AES = AES\n"},"lineCount":230}},"hash":"db1210141777670cb9f4311cbdc90dc5","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/10a96ddeb6acda2208edd8967b75928b.json b/tictac/.cache/10a96ddeb6acda2208edd8967b75928b.json
new file mode 100644
index 00000000..527aafa5
--- /dev/null
+++ b/tictac/.cache/10a96ddeb6acda2208edd8967b75928b.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/parse-asn1/package.json","includedInParent":true,"mtime":499162500000},{"name":"asn1.js","loc":{"line":5,"column":19}},{"name":"./certificate","loc":{"line":7,"column":30}}],"generated":{"js":"// from https://github.com/indutny/self-signed/blob/gh-pages/lib/asn1.js\n// Fedor, you are amazing.\n'use strict'\n\nvar asn1 = require('asn1.js')\n\nexports.certificate = require('./certificate')\n\nvar RSAPrivateKey = asn1.define('RSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('modulus').int(),\n    this.key('publicExponent').int(),\n    this.key('privateExponent').int(),\n    this.key('prime1').int(),\n    this.key('prime2').int(),\n    this.key('exponent1').int(),\n    this.key('exponent2').int(),\n    this.key('coefficient').int()\n  )\n})\nexports.RSAPrivateKey = RSAPrivateKey\n\nvar RSAPublicKey = asn1.define('RSAPublicKey', function () {\n  this.seq().obj(\n    this.key('modulus').int(),\n    this.key('publicExponent').int()\n  )\n})\nexports.RSAPublicKey = RSAPublicKey\n\nvar PublicKey = asn1.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\nexports.PublicKey = PublicKey\n\nvar AlgorithmIdentifier = asn1.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('none').null_().optional(),\n    this.key('curve').objid().optional(),\n    this.key('params').seq().obj(\n      this.key('p').int(),\n      this.key('q').int(),\n      this.key('g').int()\n    ).optional()\n  )\n})\n\nvar PrivateKeyInfo = asn1.define('PrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\nexports.PrivateKey = PrivateKeyInfo\nvar EncryptedPrivateKeyInfo = asn1.define('EncryptedPrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').seq().obj(\n      this.key('id').objid(),\n      this.key('decrypt').seq().obj(\n        this.key('kde').seq().obj(\n          this.key('id').objid(),\n          this.key('kdeparams').seq().obj(\n            this.key('salt').octstr(),\n            this.key('iters').int()\n          )\n        ),\n        this.key('cipher').seq().obj(\n          this.key('algo').objid(),\n          this.key('iv').octstr()\n        )\n      )\n    ),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\n\nexports.EncryptedPrivateKey = EncryptedPrivateKeyInfo\n\nvar DSAPrivateKey = asn1.define('DSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('p').int(),\n    this.key('q').int(),\n    this.key('g').int(),\n    this.key('pub_key').int(),\n    this.key('priv_key').int()\n  )\n})\nexports.DSAPrivateKey = DSAPrivateKey\n\nexports.DSAparam = asn1.define('DSAparam', function () {\n  this.int()\n})\n\nvar ECPrivateKey = asn1.define('ECPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('privateKey').octstr(),\n    this.key('parameters').optional().explicit(0).use(ECParameters),\n    this.key('publicKey').optional().explicit(1).bitstr()\n  )\n})\nexports.ECPrivateKey = ECPrivateKey\n\nvar ECParameters = asn1.define('ECParameters', function () {\n  this.choice({\n    namedCurve: this.objid()\n  })\n})\n\nexports.signature = asn1.define('signature', function () {\n  this.seq().obj(\n    this.key('r').int(),\n    this.key('s').int()\n  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new file mode 100644
index 00000000..c8fde66c
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diff --git a/tictac/.cache/15364e94c2ee590c923ed61d7aa557a9.json b/tictac/.cache/15364e94c2ee590c923ed61d7aa557a9.json
new file mode 100644
index 00000000..bd8acf6b
--- /dev/null
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0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n]\n\nvar W = new Array(160)\n\nfunction Sha512 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha512, Hash)\n\nSha512.prototype.init = function () {\n  this._ah = 0x6a09e667\n  this._bh = 0xbb67ae85\n  this._ch = 0x3c6ef372\n  this._dh = 0xa54ff53a\n  this._eh = 0x510e527f\n  this._fh = 0x9b05688c\n  this._gh = 0x1f83d9ab\n  this._hh = 0x5be0cd19\n\n  this._al = 0xf3bcc908\n  this._bl = 0x84caa73b\n  this._cl = 0xfe94f82b\n  this._dl = 0x5f1d36f1\n  this._el = 0xade682d1\n  this._fl = 0x2b3e6c1f\n  this._gl = 0xfb41bd6b\n  this._hl = 0x137e2179\n\n  return this\n}\n\nfunction Ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x, xl) {\n  return (x >>> 28 | xl << 4) ^ (xl >>> 2 | x << 30) ^ (xl >>> 7 | x << 25)\n}\n\nfunction sigma1 (x, xl) {\n  return (x >>> 14 | xl << 18) ^ (x >>> 18 | xl << 14) ^ (xl >>> 9 | x << 23)\n}\n\nfunction Gamma0 (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7)\n}\n\nfunction Gamma0l (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7 | xl << 25)\n}\n\nfunction Gamma1 (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6)\n}\n\nfunction Gamma1l (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6 | xl << 26)\n}\n\nfunction getCarry (a, b) {\n  return (a >>> 0) < (b >>> 0) ? 1 : 0\n}\n\nSha512.prototype._update = function (M) {\n  var W = this._w\n\n  var ah = this._ah | 0\n  var bh = this._bh | 0\n  var ch = this._ch | 0\n  var dh = this._dh | 0\n  var eh = this._eh | 0\n  var fh = this._fh | 0\n  var gh = this._gh | 0\n  var hh = this._hh | 0\n\n  var al = this._al | 0\n  var bl = this._bl | 0\n  var cl = this._cl | 0\n  var dl = this._dl | 0\n  var el = this._el | 0\n  var fl = this._fl | 0\n  var gl = this._gl | 0\n  var hl = this._hl | 0\n\n  for (var i = 0; i < 32; i += 2) {\n    W[i] = M.readInt32BE(i * 4)\n    W[i + 1] = M.readInt32BE(i * 4 + 4)\n  }\n  for (; i < 160; i += 2) {\n    var xh = W[i - 15 * 2]\n    var xl = W[i - 15 * 2 + 1]\n    var gamma0 = Gamma0(xh, xl)\n    var gamma0l = Gamma0l(xl, xh)\n\n    xh = W[i - 2 * 2]\n    xl = W[i - 2 * 2 + 1]\n    var gamma1 = Gamma1(xh, xl)\n    var gamma1l = Gamma1l(xl, xh)\n\n    // W[i] = gamma0 + W[i - 7] + gamma1 + W[i - 16]\n    var Wi7h = W[i - 7 * 2]\n    var Wi7l = W[i - 7 * 2 + 1]\n\n    var Wi16h = W[i - 16 * 2]\n    var Wi16l = W[i - 16 * 2 + 1]\n\n    var Wil = (gamma0l + Wi7l) | 0\n    var Wih = (gamma0 + Wi7h + getCarry(Wil, gamma0l)) | 0\n    Wil = (Wil + gamma1l) | 0\n    Wih = (Wih + gamma1 + getCarry(Wil, gamma1l)) | 0\n    Wil = (Wil + Wi16l) | 0\n    Wih = (Wih + Wi16h + getCarry(Wil, Wi16l)) | 0\n\n    W[i] = Wih\n    W[i + 1] = Wil\n  }\n\n  for (var j = 0; j < 160; j += 2) {\n    Wih = W[j]\n    Wil = W[j + 1]\n\n    var majh = maj(ah, bh, ch)\n    var majl = maj(al, bl, cl)\n\n    var sigma0h = sigma0(ah, al)\n    var sigma0l = sigma0(al, ah)\n    var sigma1h = sigma1(eh, el)\n    var sigma1l = sigma1(el, eh)\n\n    // t1 = h + sigma1 + ch + K[j] + W[j]\n    var Kih = K[j]\n    var Kil = K[j + 1]\n\n    var chh = Ch(eh, fh, gh)\n    var chl = Ch(el, fl, gl)\n\n    var t1l = (hl + sigma1l) | 0\n    var t1h = (hh + sigma1h + getCarry(t1l, hl)) | 0\n    t1l = (t1l + chl) | 0\n    t1h = (t1h + chh + getCarry(t1l, chl)) | 0\n    t1l = (t1l + Kil) | 0\n    t1h = (t1h + Kih + getCarry(t1l, Kil)) | 0\n    t1l = (t1l + Wil) | 0\n    t1h = (t1h + Wih + getCarry(t1l, Wil)) | 0\n\n    // t2 = sigma0 + maj\n    var t2l = (sigma0l + majl) | 0\n    var t2h = (sigma0h + majh + getCarry(t2l, sigma0l)) | 0\n\n    hh = gh\n    hl = gl\n    gh = fh\n    gl = fl\n    fh = eh\n    fl = el\n    el = (dl + t1l) | 0\n    eh = (dh + t1h + getCarry(el, dl)) | 0\n    dh = ch\n    dl = cl\n    ch = bh\n    cl = bl\n    bh = ah\n    bl = al\n    al = (t1l + t2l) | 0\n    ah = (t1h + t2h + getCarry(al, t1l)) | 0\n  }\n\n  this._al = (this._al + al) | 0\n  this._bl = (this._bl + bl) | 0\n  this._cl = (this._cl + cl) | 0\n  this._dl = (this._dl + dl) | 0\n  this._el = (this._el + el) | 0\n  this._fl = (this._fl + fl) | 0\n  this._gl = (this._gl + gl) | 0\n  this._hl = (this._hl + hl) | 0\n\n  this._ah = (this._ah + ah + getCarry(this._al, al)) | 0\n  this._bh = (this._bh + bh + getCarry(this._bl, bl)) | 0\n  this._ch = (this._ch + ch + getCarry(this._cl, cl)) | 0\n  this._dh = (this._dh + dh + getCarry(this._dl, dl)) | 0\n  this._eh = (this._eh + eh + getCarry(this._el, el)) | 0\n  this._fh = (this._fh + fh + getCarry(this._fl, fl)) | 0\n  this._gh = (this._gh + gh + getCarry(this._gl, gl)) | 0\n  this._hh = (this._hh + hh + getCarry(this._hl, hl)) | 0\n}\n\nSha512.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(64)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n  writeInt64BE(this._gh, this._gl, 48)\n  writeInt64BE(this._hh, this._hl, 56)\n\n  return H\n}\n\nmodule.exports = Sha512\n"},"lineCount":262}},"hash":"1ea50df47bb9a8f29fe329d721c003d8","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/170c15bcd70a7fadcb4cea68590eecf8.json b/tictac/.cache/170c15bcd70a7fadcb4cea68590eecf8.json
new file mode 100644
index 00000000..551a7fd7
--- /dev/null
+++ b/tictac/.cache/170c15bcd70a7fadcb4cea68590eecf8.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"buffer-xor","loc":{"line":1,"column":18}},{"name":"safe-buffer","loc":{"line":2,"column":21}},{"name":"../incr32","loc":{"line":3,"column":21}}],"generated":{"js":"\nvar xor = require('buffer-xor')\nvar Buffer = require('safe-buffer').Buffer\nvar incr32 = require('../incr32')\n\nfunction getBlock (self) {\n  var out = self._cipher.encryptBlockRaw(self._prev)\n  incr32(self._prev)\n  return out\n}\n\nvar blockSize = 16\nexports.encrypt = function (self, chunk) {\n  var chunkNum = Math.ceil(chunk.length / blockSize)\n  var start = self._cache.length\n  self._cache = Buffer.concat([\n    self._cache,\n    Buffer.allocUnsafe(chunkNum * blockSize)\n  ])\n  for (var i = 0; i < chunkNum; i++) {\n    var out = getBlock(self)\n    var offset = start + i * blockSize\n    self._cache.writeUInt32BE(out[0], offset + 0)\n    self._cache.writeUInt32BE(out[1], offset + 4)\n    self._cache.writeUInt32BE(out[2], offset + 8)\n    self._cache.writeUInt32BE(out[3], offset + 12)\n  }\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","map":{"mappings":[{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":1,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":2,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":3,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":4,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":5,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":6,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":7,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":8,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":9,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":10,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":11,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":12,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":13,"column":0},"generated":{"line":14,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":14,"column":0},"generated":{"line":15,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":15,"column":0},"generated":{"line":16,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":16,"column":0},"generated":{"line":17,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":17,"column":0},"generated":{"line":18,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":18,"column":0},"generated":{"line":19,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":19,"column":0},"generated":{"line":20,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":20,"column":0},"generated":{"line":21,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":21,"column":0},"generated":{"line":22,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":22,"column":0},"generated":{"line":23,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":23,"column":0},"generated":{"line":24,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":24,"column":0},"generated":{"line":25,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":25,"column":0},"generated":{"line":26,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":26,"column":0},"generated":{"line":27,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":27,"column":0},"generated":{"line":28,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":28,"column":0},"generated":{"line":29,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":29,"column":0},"generated":{"line":30,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":30,"column":0},"generated":{"line":31,"column":0}},{"source":"node_modules/browserify-aes/modes/ctr.js","original":{"line":31,"column":0},"generated":{"line":32,"column":0}}],"sources":{"node_modules/browserify-aes/modes/ctr.js":"var xor = require('buffer-xor')\nvar Buffer = require('safe-buffer').Buffer\nvar incr32 = require('../incr32')\n\nfunction getBlock (self) {\n  var out = self._cipher.encryptBlockRaw(self._prev)\n  incr32(self._prev)\n  return out\n}\n\nvar blockSize = 16\nexports.encrypt = function (self, chunk) {\n  var chunkNum = Math.ceil(chunk.length / blockSize)\n  var start = self._cache.length\n  self._cache = Buffer.concat([\n    self._cache,\n    Buffer.allocUnsafe(chunkNum * blockSize)\n  ])\n  for (var i = 0; i < chunkNum; i++) {\n    var out = getBlock(self)\n    var offset = start + i * blockSize\n    self._cache.writeUInt32BE(out[0], offset + 0)\n    self._cache.writeUInt32BE(out[1], offset + 4)\n    self._cache.writeUInt32BE(out[2], offset + 8)\n    self._cache.writeUInt32BE(out[3], offset + 12)\n  }\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n"},"lineCount":32}},"hash":"48120c5346269ac803eeef1fad5d3aa8","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/188b7594822a5aae5a78195043b7e9f7.json b/tictac/.cache/188b7594822a5aae5a78195043b7e9f7.json
new file mode 100644
index 00000000..45deebc9
--- /dev/null
+++ b/tictac/.cache/188b7594822a5aae5a78195043b7e9f7.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/sha.js/package.json","includedInParent":true,"mtime":0},{"name":"inherits","loc":{"line":10,"column":23}},{"name":"./hash","loc":{"line":11,"column":19}},{"name":"safe-buffer","loc":{"line":12,"column":21}}],"generated":{"js":"\n/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-1, as defined\n * in FIPS PUB 180-1\n * Version 2.1a Copyright Paul Johnston 2000 - 2002.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n * Distributed under the BSD License\n * See http://pajhome.org.uk/crypt/md5 for details.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha1 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha1, Hash)\n\nSha1.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl1 (num) {\n  return (num << 1) | (num >>> 31)\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha1.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = rotl1(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16])\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha1.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = 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H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha1\n"},"lineCount":101}},"hash":"d9d4fa04b895d848633cef394c59d078","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/1ac19e26f2d3b9737fb495116231defc.json b/tictac/.cache/1ac19e26f2d3b9737fb495116231defc.json
new file mode 100644
index 00000000..d3fb654d
--- /dev/null
+++ b/tictac/.cache/1ac19e26f2d3b9737fb495116231defc.json
@@ -0,0 +1 @@
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this;\n};\n\nNode.prototype.optional = function optional() {\n  var state = this._baseState;\n\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.def = function def(val) {\n  var state = this._baseState;\n\n  assert(state['default'] === null);\n  state['default'] = val;\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.explicit = function explicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.explicit = num;\n\n  return this;\n};\n\nNode.prototype.implicit = function implicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.implicit = num;\n\n  return this;\n};\n\nNode.prototype.obj = function obj() {\n  var state = this._baseState;\n  var args = Array.prototype.slice.call(arguments);\n\n  state.obj = true;\n\n  if (args.length !== 0)\n    this._useArgs(args);\n\n  return this;\n};\n\nNode.prototype.key = function key(newKey) {\n  var state = this._baseState;\n\n  assert(state.key === null);\n  state.key = newKey;\n\n  return this;\n};\n\nNode.prototype.any = function any() {\n  var state = this._baseState;\n\n  state.any = true;\n\n  return this;\n};\n\nNode.prototype.choice = function choice(obj) {\n  var state = this._baseState;\n\n  assert(state.choice === null);\n  state.choice = obj;\n  this._useArgs(Object.keys(obj).map(function(key) {\n    return obj[key];\n  }));\n\n  return this;\n};\n\nNode.prototype.contains = function contains(item) {\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.contains = item;\n\n  return this;\n};\n\n//\n// Decoding\n//\n\nNode.prototype._decode = function decode(input, options) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return input.wrapResult(state.children[0]._decode(input, options));\n\n  var result = state['default'];\n  var present = true;\n\n  var prevKey = null;\n  if (state.key !== null)\n    prevKey = input.enterKey(state.key);\n\n  // Check if tag is there\n  if (state.optional) {\n    var tag = null;\n    if (state.explicit !== null)\n      tag = state.explicit;\n    else if (state.implicit !== null)\n      tag = state.implicit;\n    else if (state.tag !== null)\n      tag = state.tag;\n\n    if (tag === null && !state.any) {\n      // Trial and Error\n      var save = input.save();\n      try {\n        if (state.choice === null)\n          this._decodeGeneric(state.tag, input, options);\n        else\n          this._decodeChoice(input, options);\n        present = true;\n      } catch (e) {\n        present = false;\n      }\n      input.restore(save);\n    } else {\n      present = this._peekTag(input, tag, state.any);\n\n      if (input.isError(present))\n        return present;\n    }\n  }\n\n  // Push object on stack\n  var prevObj;\n  if (state.obj && present)\n    prevObj = input.enterObject();\n\n  if (present) {\n    // Unwrap explicit values\n    if (state.explicit !== null) {\n      var explicit = this._decodeTag(input, state.explicit);\n      if (input.isError(explicit))\n        return explicit;\n      input = explicit;\n    }\n\n    var start = input.offset;\n\n    // Unwrap implicit and normal values\n    if (state.use === null && state.choice === null) {\n      if (state.any)\n        var save = input.save();\n      var body = this._decodeTag(\n        input,\n        state.implicit !== null ? state.implicit : state.tag,\n        state.any\n      );\n      if (input.isError(body))\n        return body;\n\n      if (state.any)\n        result = input.raw(save);\n      else\n        input = body;\n    }\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), start, input.length, 'tagged');\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), input.offset, input.length, 'content');\n\n    // Select proper method for tag\n    if (state.any)\n      result = result;\n    else if (state.choice === null)\n      result = this._decodeGeneric(state.tag, input, options);\n    else\n      result = this._decodeChoice(input, options);\n\n    if (input.isError(result))\n      return result;\n\n    // Decode children\n    if (!state.any && state.choice === null && state.children !== null) {\n      state.children.forEach(function decodeChildren(child) {\n        // NOTE: We are ignoring errors here, to let parser continue with other\n        // parts of encoded data\n        child._decode(input, options);\n      });\n    }\n\n    // Decode contained/encoded by schema, only in bit or octet strings\n    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {\n      var data = new DecoderBuffer(result);\n      result = this._getUse(state.contains, input._reporterState.obj)\n          ._decode(data, options);\n    }\n  }\n\n  // Pop object\n  if (state.obj && present)\n    result = input.leaveObject(prevObj);\n\n  // Set key\n  if (state.key !== null && (result !== null || present === true))\n    input.leaveKey(prevKey, state.key, result);\n  else if (prevKey !== null)\n    input.exitKey(prevKey);\n\n  return result;\n};\n\nNode.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {\n  var state = this._baseState;\n\n  if (tag === 'seq' || tag === 'set')\n    return null;\n  if (tag === 'seqof' || tag === 'setof')\n    return this._decodeList(input, tag, state.args[0], options);\n  else if (/str$/.test(tag))\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'objid' && state.args)\n    return this._decodeObjid(input, state.args[0], state.args[1], options);\n  else if (tag === 'objid')\n    return this._decodeObjid(input, null, null, options);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._decodeTime(input, tag, options);\n  else if (tag === 'null_')\n    return this._decodeNull(input, options);\n  else if (tag === 'bool')\n    return this._decodeBool(input, options);\n  else if (tag === 'objDesc')\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'int' || tag === 'enum')\n    return this._decodeInt(input, state.args && state.args[0], options);\n\n  if (state.use !== null) {\n    return this._getUse(state.use, input._reporterState.obj)\n        ._decode(input, options);\n  } else {\n    return input.error('unknown tag: ' + tag);\n  }\n};\n\nNode.prototype._getUse = function _getUse(entity, obj) {\n\n  var state = this._baseState;\n  // Create altered use decoder if implicit is set\n  state.useDecoder = this._use(entity, obj);\n  assert(state.useDecoder._baseState.parent === null);\n  state.useDecoder = state.useDecoder._baseState.children[0];\n  if (state.implicit !== state.useDecoder._baseState.implicit) {\n    state.useDecoder = state.useDecoder.clone();\n    state.useDecoder._baseState.implicit = state.implicit;\n  }\n  return state.useDecoder;\n};\n\nNode.prototype._decodeChoice = function decodeChoice(input, options) {\n  var state = this._baseState;\n  var result = null;\n  var match = false;\n\n  Object.keys(state.choice).some(function(key) {\n    var save = input.save();\n    var node = state.choice[key];\n    try {\n      var value = node._decode(input, options);\n      if (input.isError(value))\n        return false;\n\n      result = { type: key, value: value };\n      match = true;\n    } catch (e) {\n      input.restore(save);\n      return false;\n    }\n    return true;\n  }, this);\n\n  if (!match)\n    return input.error('Choice not matched');\n\n  return result;\n};\n\n//\n// Encoding\n//\n\nNode.prototype._createEncoderBuffer = function createEncoderBuffer(data) {\n  return new EncoderBuffer(data, this.reporter);\n};\n\nNode.prototype._encode = function encode(data, reporter, parent) {\n  var state = this._baseState;\n  if (state['default'] !== null && state['default'] === data)\n    return;\n\n  var result = this._encodeValue(data, reporter, parent);\n  if (result === undefined)\n    return;\n\n  if (this._skipDefault(result, reporter, parent))\n    return;\n\n  return result;\n};\n\nNode.prototype._encodeValue = function encode(data, reporter, parent) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return state.children[0]._encode(data, reporter || new Reporter());\n\n  var result = null;\n\n  // Set reporter to share it with a child class\n  this.reporter = reporter;\n\n  // Check if data is there\n  if (state.optional && data === undefined) {\n    if (state['default'] !== null)\n      data = state['default']\n    else\n      return;\n  }\n\n  // Encode children first\n  var content = null;\n  var primitive = false;\n  if (state.any) {\n    // Anything that was given is translated to buffer\n    result = this._createEncoderBuffer(data);\n  } else if (state.choice) {\n    result = this._encodeChoice(data, reporter);\n  } else if (state.contains) {\n    content = this._getUse(state.contains, parent)._encode(data, reporter);\n    primitive = true;\n  } else if (state.children) {\n    content = state.children.map(function(child) {\n      if (child._baseState.tag === 'null_')\n        return child._encode(null, reporter, data);\n\n      if (child._baseState.key === null)\n        return reporter.error('Child should have a key');\n      var prevKey = reporter.enterKey(child._baseState.key);\n\n      if (typeof data !== 'object')\n        return reporter.error('Child expected, but input is not object');\n\n      var res = child._encode(data[child._baseState.key], reporter, data);\n      reporter.leaveKey(prevKey);\n\n      return res;\n    }, this).filter(function(child) {\n      return child;\n    });\n    content = this._createEncoderBuffer(content);\n  } else {\n    if (state.tag === 'seqof' || state.tag === 'setof') {\n      // TODO(indutny): this should be thrown on DSL level\n      if (!(state.args && state.args.length === 1))\n        return reporter.error('Too many args for : ' + state.tag);\n\n      if (!Array.isArray(data))\n        return reporter.error('seqof/setof, but data is not Array');\n\n      var child = this.clone();\n      child._baseState.implicit = null;\n      content = this._createEncoderBuffer(data.map(function(item) {\n        var state = this._baseState;\n\n        return this._getUse(state.args[0], data)._encode(item, reporter);\n      }, child));\n    } else if (state.use !== null) {\n      result = this._getUse(state.use, parent)._encode(data, reporter);\n    } else {\n      content = this._encodePrimitive(state.tag, data);\n      primitive = true;\n    }\n  }\n\n  // Encode data itself\n  var result;\n  if (!state.any && state.choice === null) {\n    var tag = state.implicit !== null ? state.implicit : state.tag;\n    var cls = state.implicit === null ? 'universal' : 'context';\n\n    if (tag === null) {\n      if (state.use === null)\n        reporter.error('Tag could be omitted only for .use()');\n    } else {\n      if (state.use === null)\n        result = this._encodeComposite(tag, primitive, cls, content);\n    }\n  }\n\n  // Wrap in explicit\n  if (state.explicit !== null)\n    result = this._encodeComposite(state.explicit, false, 'context', result);\n\n  return result;\n};\n\nNode.prototype._encodeChoice = function encodeChoice(data, reporter) {\n  var state = this._baseState;\n\n  var node = state.choice[data.type];\n  if (!node) {\n    assert(\n        false,\n        data.type + ' not found in ' +\n            JSON.stringify(Object.keys(state.choice)));\n  }\n  return node._encode(data.value, reporter);\n};\n\nNode.prototype._encodePrimitive = function encodePrimitive(tag, data) {\n  var state = this._baseState;\n\n  if (/str$/.test(tag))\n    return this._encodeStr(data, tag);\n  else if (tag === 'objid' && state.args)\n    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);\n  else if (tag === 'objid')\n    return this._encodeObjid(data, null, null);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._encodeTime(data, tag);\n  else if (tag === 'null_')\n    return this._encodeNull();\n  else if (tag === 'int' || tag === 'enum')\n    return this._encodeInt(data, state.args && state.reverseArgs[0]);\n  else if (tag === 'bool')\n    return this._encodeBool(data);\n  else if (tag === 'objDesc')\n    return this._encodeStr(data, tag);\n  else\n    throw new Error('Unsupported tag: ' + tag);\n};\n\nNode.prototype._isNumstr = function isNumstr(str) {\n  return /^[0-9 ]*$/.test(str);\n};\n\nNode.prototype._isPrintstr = function isPrintstr(str) {\n  return /^[A-Za-z0-9 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cstate[prop] = state[prop];\n  });\n  var res = new this.constructor(cstate.parent);\n  res._baseState = cstate;\n  return res;\n};\n\nNode.prototype._wrap = function wrap() {\n  var state = this._baseState;\n  methods.forEach(function(method) {\n    this[method] = function _wrappedMethod() {\n      var clone = new this.constructor(this);\n      state.children.push(clone);\n      return clone[method].apply(clone, arguments);\n    };\n  }, this);\n};\n\nNode.prototype._init = function init(body) {\n  var state = this._baseState;\n\n  assert(state.parent === null);\n  body.call(this);\n\n  // Filter children\n  state.children = state.children.filter(function(child) {\n    return child._baseState.parent === this;\n  }, this);\n  assert.equal(state.children.length, 1, 'Root node can have only one child');\n};\n\nNode.prototype._useArgs = function useArgs(args) {\n  var state = this._baseState;\n\n  // Filter children and args\n  var children = args.filter(function(arg) {\n    return arg instanceof this.constructor;\n  }, this);\n  args = args.filter(function(arg) {\n    return !(arg instanceof this.constructor);\n  }, this);\n\n  if (children.length !== 0) {\n    assert(state.children === null);\n    state.children = children;\n\n    // Replace parent to maintain backward link\n    children.forEach(function(child) {\n      child._baseState.parent = this;\n    }, this);\n  }\n  if (args.length !== 0) {\n    assert(state.args === null);\n    state.args = args;\n    state.reverseArgs = args.map(function(arg) {\n      if (typeof arg !== 'object' || arg.constructor !== Object)\n        return arg;\n\n      var res = {};\n      Object.keys(arg).forEach(function(key) {\n        if (key == (key | 0))\n          key |= 0;\n        var value = arg[key];\n        res[value] = key;\n      });\n      return res;\n    });\n  }\n};\n\n//\n// Overrided methods\n//\n\noverrided.forEach(function(method) {\n  Node.prototype[method] = function _overrided() {\n    var state = this._baseState;\n    throw new Error(method + ' not implemented for encoding: ' + state.enc);\n  };\n});\n\n//\n// Public methods\n//\n\ntags.forEach(function(tag) {\n  Node.prototype[tag] = function _tagMethod() {\n    var state = this._baseState;\n    var args = Array.prototype.slice.call(arguments);\n\n    assert(state.tag === null);\n    state.tag = tag;\n\n    this._useArgs(args);\n\n    return this;\n  };\n});\n\nNode.prototype.use = function use(item) {\n  assert(item);\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.use = item;\n\n  return this;\n};\n\nNode.prototype.optional = function optional() {\n  var state = this._baseState;\n\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.def = function def(val) {\n  var state = this._baseState;\n\n  assert(state['default'] === null);\n  state['default'] = val;\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.explicit = function explicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.explicit = num;\n\n  return this;\n};\n\nNode.prototype.implicit = function implicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.implicit = num;\n\n  return this;\n};\n\nNode.prototype.obj = function obj() {\n  var state = this._baseState;\n  var args = Array.prototype.slice.call(arguments);\n\n  state.obj = true;\n\n  if (args.length !== 0)\n    this._useArgs(args);\n\n  return this;\n};\n\nNode.prototype.key = function key(newKey) {\n  var state = this._baseState;\n\n  assert(state.key === null);\n  state.key = newKey;\n\n  return this;\n};\n\nNode.prototype.any = function any() {\n  var state = this._baseState;\n\n  state.any = true;\n\n  return this;\n};\n\nNode.prototype.choice = function choice(obj) {\n  var state = this._baseState;\n\n  assert(state.choice === null);\n  state.choice = obj;\n  this._useArgs(Object.keys(obj).map(function(key) {\n    return obj[key];\n  }));\n\n  return this;\n};\n\nNode.prototype.contains = function contains(item) {\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.contains = item;\n\n  return this;\n};\n\n//\n// Decoding\n//\n\nNode.prototype._decode = function decode(input, options) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return input.wrapResult(state.children[0]._decode(input, options));\n\n  var result = state['default'];\n  var present = true;\n\n  var prevKey = null;\n  if (state.key !== null)\n    prevKey = input.enterKey(state.key);\n\n  // Check if tag is there\n  if (state.optional) {\n    var tag = null;\n    if (state.explicit !== null)\n      tag = state.explicit;\n    else if (state.implicit !== null)\n      tag = state.implicit;\n    else if (state.tag !== null)\n      tag = state.tag;\n\n    if (tag === null && !state.any) {\n      // Trial and Error\n      var save = input.save();\n      try {\n        if (state.choice === null)\n          this._decodeGeneric(state.tag, input, options);\n        else\n          this._decodeChoice(input, options);\n        present = true;\n      } catch (e) {\n        present = false;\n      }\n      input.restore(save);\n    } else {\n      present = this._peekTag(input, tag, state.any);\n\n      if (input.isError(present))\n        return present;\n    }\n  }\n\n  // Push object on stack\n  var prevObj;\n  if (state.obj && present)\n    prevObj = input.enterObject();\n\n  if (present) {\n    // Unwrap explicit values\n    if (state.explicit !== null) {\n      var explicit = this._decodeTag(input, state.explicit);\n      if (input.isError(explicit))\n        return explicit;\n      input = explicit;\n    }\n\n    var start = input.offset;\n\n    // Unwrap implicit and normal values\n    if (state.use === null && state.choice === null) {\n      if (state.any)\n        var save = input.save();\n      var body = this._decodeTag(\n        input,\n        state.implicit !== null ? state.implicit : state.tag,\n        state.any\n      );\n      if (input.isError(body))\n        return body;\n\n      if (state.any)\n        result = input.raw(save);\n      else\n        input = body;\n    }\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), start, input.length, 'tagged');\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), input.offset, input.length, 'content');\n\n    // Select proper method for tag\n    if (state.any)\n      result = result;\n    else if (state.choice === null)\n      result = this._decodeGeneric(state.tag, input, options);\n    else\n      result = this._decodeChoice(input, options);\n\n    if (input.isError(result))\n      return result;\n\n    // Decode children\n    if (!state.any && state.choice === null && state.children !== null) {\n      state.children.forEach(function decodeChildren(child) {\n        // NOTE: We are ignoring errors here, to let parser continue with other\n        // parts of encoded data\n        child._decode(input, options);\n      });\n    }\n\n    // Decode contained/encoded by schema, only in bit or octet strings\n    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {\n      var data = new DecoderBuffer(result);\n      result = this._getUse(state.contains, input._reporterState.obj)\n          ._decode(data, options);\n    }\n  }\n\n  // Pop object\n  if (state.obj && present)\n    result = input.leaveObject(prevObj);\n\n  // Set key\n  if (state.key !== null && (result !== null || present === true))\n    input.leaveKey(prevKey, state.key, result);\n  else if (prevKey !== null)\n    input.exitKey(prevKey);\n\n  return result;\n};\n\nNode.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {\n  var state = this._baseState;\n\n  if (tag === 'seq' || tag === 'set')\n    return null;\n  if (tag === 'seqof' || tag === 'setof')\n    return this._decodeList(input, tag, state.args[0], options);\n  else if (/str$/.test(tag))\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'objid' && state.args)\n    return this._decodeObjid(input, state.args[0], state.args[1], options);\n  else if (tag === 'objid')\n    return this._decodeObjid(input, null, null, options);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._decodeTime(input, tag, options);\n  else if (tag === 'null_')\n    return this._decodeNull(input, options);\n  else if (tag === 'bool')\n    return this._decodeBool(input, options);\n  else if (tag === 'objDesc')\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'int' || tag === 'enum')\n    return this._decodeInt(input, state.args && state.args[0], options);\n\n  if (state.use !== null) {\n    return this._getUse(state.use, input._reporterState.obj)\n        ._decode(input, options);\n  } else {\n    return input.error('unknown tag: ' + tag);\n  }\n};\n\nNode.prototype._getUse = function _getUse(entity, obj) {\n\n  var state = this._baseState;\n  // Create altered use decoder if implicit is set\n  state.useDecoder = this._use(entity, obj);\n  assert(state.useDecoder._baseState.parent === null);\n  state.useDecoder = state.useDecoder._baseState.children[0];\n  if (state.implicit !== state.useDecoder._baseState.implicit) {\n    state.useDecoder = state.useDecoder.clone();\n    state.useDecoder._baseState.implicit = state.implicit;\n  }\n  return state.useDecoder;\n};\n\nNode.prototype._decodeChoice = function decodeChoice(input, options) {\n  var state = this._baseState;\n  var result = null;\n  var match = false;\n\n  Object.keys(state.choice).some(function(key) {\n    var save = input.save();\n    var node = state.choice[key];\n    try {\n      var value = node._decode(input, options);\n      if (input.isError(value))\n        return false;\n\n      result = { type: key, value: value };\n      match = true;\n    } catch (e) {\n      input.restore(save);\n      return false;\n    }\n    return true;\n  }, this);\n\n  if (!match)\n    return input.error('Choice not matched');\n\n  return result;\n};\n\n//\n// Encoding\n//\n\nNode.prototype._createEncoderBuffer = function createEncoderBuffer(data) {\n  return new EncoderBuffer(data, this.reporter);\n};\n\nNode.prototype._encode = function encode(data, reporter, parent) {\n  var state = this._baseState;\n  if (state['default'] !== null && state['default'] === data)\n    return;\n\n  var result = this._encodeValue(data, reporter, parent);\n  if (result === undefined)\n    return;\n\n  if (this._skipDefault(result, reporter, parent))\n    return;\n\n  return result;\n};\n\nNode.prototype._encodeValue = function encode(data, reporter, parent) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return state.children[0]._encode(data, reporter || new Reporter());\n\n  var result = null;\n\n  // Set reporter to share it with a child class\n  this.reporter = reporter;\n\n  // Check if data is there\n  if (state.optional && data === undefined) {\n    if (state['default'] !== null)\n      data = state['default']\n    else\n      return;\n  }\n\n  // Encode children first\n  var content = null;\n  var primitive = false;\n  if (state.any) {\n    // Anything that was given is translated to buffer\n    result = this._createEncoderBuffer(data);\n  } else if (state.choice) {\n    result = this._encodeChoice(data, reporter);\n  } else if (state.contains) {\n    content = this._getUse(state.contains, parent)._encode(data, reporter);\n    primitive = true;\n  } else if (state.children) {\n    content = state.children.map(function(child) {\n      if (child._baseState.tag === 'null_')\n        return child._encode(null, reporter, data);\n\n      if (child._baseState.key === null)\n        return reporter.error('Child should have a key');\n      var prevKey = reporter.enterKey(child._baseState.key);\n\n      if (typeof data !== 'object')\n        return reporter.error('Child expected, but input is not object');\n\n      var res = child._encode(data[child._baseState.key], reporter, data);\n      reporter.leaveKey(prevKey);\n\n      return res;\n    }, this).filter(function(child) {\n      return child;\n    });\n    content = this._createEncoderBuffer(content);\n  } else {\n    if (state.tag === 'seqof' || state.tag === 'setof') {\n      // TODO(indutny): this should be thrown on DSL level\n      if (!(state.args && state.args.length === 1))\n        return reporter.error('Too many args for : ' + state.tag);\n\n      if (!Array.isArray(data))\n        return reporter.error('seqof/setof, but data is not Array');\n\n      var child = this.clone();\n      child._baseState.implicit = null;\n      content = this._createEncoderBuffer(data.map(function(item) {\n        var state = this._baseState;\n\n        return this._getUse(state.args[0], data)._encode(item, reporter);\n      }, child));\n    } else if (state.use !== null) {\n      result = this._getUse(state.use, parent)._encode(data, reporter);\n    } else {\n      content = this._encodePrimitive(state.tag, data);\n      primitive = true;\n    }\n  }\n\n  // Encode data itself\n  var result;\n  if (!state.any && state.choice === null) {\n    var tag = state.implicit !== null ? state.implicit : state.tag;\n    var cls = state.implicit === null ? 'universal' : 'context';\n\n    if (tag === null) {\n      if (state.use === null)\n        reporter.error('Tag could be omitted only for .use()');\n    } else {\n      if (state.use === null)\n        result = this._encodeComposite(tag, primitive, cls, content);\n    }\n  }\n\n  // Wrap in explicit\n  if (state.explicit !== null)\n    result = this._encodeComposite(state.explicit, false, 'context', result);\n\n  return result;\n};\n\nNode.prototype._encodeChoice = function encodeChoice(data, reporter) {\n  var state = this._baseState;\n\n  var node = state.choice[data.type];\n  if (!node) {\n    assert(\n        false,\n        data.type + ' not found in ' +\n            JSON.stringify(Object.keys(state.choice)));\n  }\n  return node._encode(data.value, reporter);\n};\n\nNode.prototype._encodePrimitive = function encodePrimitive(tag, data) {\n  var state = this._baseState;\n\n  if (/str$/.test(tag))\n    return this._encodeStr(data, tag);\n  else if (tag === 'objid' && state.args)\n    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);\n  else if (tag === 'objid')\n    return this._encodeObjid(data, null, null);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._encodeTime(data, tag);\n  else if (tag === 'null_')\n    return this._encodeNull();\n  else if (tag === 'int' || tag === 'enum')\n    return this._encodeInt(data, state.args && state.reverseArgs[0]);\n  else if (tag === 'bool')\n    return this._encodeBool(data);\n  else if (tag === 'objDesc')\n    return this._encodeStr(data, tag);\n  else\n    throw new Error('Unsupported tag: ' + tag);\n};\n\nNode.prototype._isNumstr = function isNumstr(str) {\n  return /^[0-9 ]*$/.test(str);\n};\n\nNode.prototype._isPrintstr = function isPrintstr(str) {\n  return /^[A-Za-z0-9 '\\(\\)\\+,\\-\\.\\/:=\\?]*$/.test(str);\n};\n"},"lineCount":635}},"hash":"31c1b4a1f220f2fde7cac4d23475e65f","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/1bdf9677ef62d1607a4ec78a8af3ba0b.json b/tictac/.cache/1bdf9677ef62d1607a4ec78a8af3ba0b.json
new file mode 100644
index 00000000..8b9ac97e
--- /dev/null
+++ b/tictac/.cache/1bdf9677ef62d1607a4ec78a8af3ba0b.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/asn1.js/package.json","includedInParent":true,"mtime":1518564474000},{"name":"./reporter","loc":{"line":3,"column":24}},{"name":"./buffer","loc":{"line":5,"column":29}},{"name":"./node","loc":{"line":6,"column":20}}],"generated":{"js":"var base = exports;\n\nbase.Reporter = require('./reporter').Reporter;\nbase.DecoderBuffer = require('./buffer').DecoderBuffer;\nbase.EncoderBuffer = require('./buffer').EncoderBuffer;\nbase.Node = require('./node');\n","map":{"mappings":[{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":1,"column":0},"generated":{"line":1,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":2,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":3,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":4,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":5,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":6,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/asn1.js/lib/asn1/base/index.js","original":{"line":7,"column":0},"generated":{"line":7,"column":0}}],"sources":{"node_modules/asn1.js/lib/asn1/base/index.js":"var base = exports;\n\nbase.Reporter = require('./reporter').Reporter;\nbase.DecoderBuffer = require('./buffer').DecoderBuffer;\nbase.EncoderBuffer = require('./buffer').EncoderBuffer;\nbase.Node = require('./node');\n"},"lineCount":7}},"hash":"fe388aea253f1dc1dcae53b37ef92c95","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/1d11c5b9da83c868ea78f409a1bebefb.json b/tictac/.cache/1d11c5b9da83c868ea78f409a1bebefb.json
new file mode 100644
index 00000000..11d35904
--- /dev/null
+++ b/tictac/.cache/1d11c5b9da83c868ea78f409a1bebefb.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"./encrypter","loc":{"line":1,"column":22}},{"name":"./decrypter","loc":{"line":2,"column":24}},{"name":"./modes/list.json","loc":{"line":3,"column":20}}],"generated":{"js":"var ciphers = require('./encrypter')\nvar deciphers = require('./decrypter')\nvar modes = require('./modes/list.json')\n\nfunction getCiphers () {\n  return Object.keys(modes)\n}\n\nexports.createCipher = exports.Cipher = ciphers.createCipher\nexports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv\nexports.createDecipher = exports.Decipher = deciphers.createDecipher\nexports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","map":{"mappings":[{"source":"node_modules/browserify-aes/browser.js","original":{"line":1,"column":0},"generated":{"line":1,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":2,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":3,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":4,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":5,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":6,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":7,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":8,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":9,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":10,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":11,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":12,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":13,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/browserify-aes/browser.js","original":{"line":14,"column":0},"generated":{"line":14,"column":0}}],"sources":{"node_modules/browserify-aes/browser.js":"var ciphers = require('./encrypter')\nvar deciphers = require('./decrypter')\nvar modes = require('./modes/list.json')\n\nfunction getCiphers () {\n  return Object.keys(modes)\n}\n\nexports.createCipher = exports.Cipher = ciphers.createCipher\nexports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv\nexports.createDecipher = exports.Decipher = deciphers.createDecipher\nexports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n"},"lineCount":14}},"hash":"815c17e4f6af43abae6ca1812a97f19f","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/1d84608884918c4653a3dafeec693d19.json b/tictac/.cache/1d84608884918c4653a3dafeec693d19.json
new file mode 100644
index 00000000..c117ebe2
--- /dev/null
+++ b/tictac/.cache/1d84608884918c4653a3dafeec693d19.json
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\ No newline at end of file
diff --git a/tictac/.cache/1dea88ea727ceab0979e38cafb021efe.json b/tictac/.cache/1dea88ea727ceab0979e38cafb021efe.json
new file mode 100644
index 00000000..1939ac0d
--- /dev/null
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\ No newline at end of file
diff --git a/tictac/.cache/1f43df92e3efb4581c0295d7f789aa2e.json b/tictac/.cache/1f43df92e3efb4581c0295d7f789aa2e.json
new file mode 100644
index 00000000..052d8797
--- /dev/null
+++ b/tictac/.cache/1f43df92e3efb4581c0295d7f789aa2e.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/@protobufjs/float/package.json","includedInParent":true,"mtime":1491129909000}],"generated":{"js":"\"use strict\";\r\n\r\nmodule.exports = factory(factory);\r\n\r\n/**\r\n * Reads / writes floats / doubles from / to buffers.\r\n * @name util.float\r\n * @namespace\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using little endian byte order.\r\n * @name util.float.writeFloatLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using big endian byte order.\r\n * @name util.float.writeFloatBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using little endian byte order.\r\n * @name util.float.readFloatLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using big endian byte order.\r\n * @name util.float.readFloatBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using little endian byte order.\r\n * @name util.float.writeDoubleLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using big endian byte order.\r\n * @name util.float.writeDoubleBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using little endian byte order.\r\n * @name util.float.readDoubleLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using big endian byte order.\r\n * @name util.float.readDoubleBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n// Factory function for the purpose of node-based testing in modified global environments\r\nfunction factory(exports) {\r\n\r\n    // float: typed array\r\n    if (typeof Float32Array !== \"undefined\") (function() {\r\n\r\n        var f32 = new Float32Array([ -0 ]),\r\n            f8b = new Uint8Array(f32.buffer),\r\n            le  = f8b[3] === 128;\r\n\r\n        function writeFloat_f32_cpy(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n        }\r\n\r\n        function writeFloat_f32_rev(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[3];\r\n            buf[pos + 1] = f8b[2];\r\n            buf[pos + 2] = f8b[1];\r\n            buf[pos + 3] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeFloatLE = le ? writeFloat_f32_cpy : writeFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeFloatBE = le ? writeFloat_f32_rev : writeFloat_f32_cpy;\r\n\r\n        function readFloat_f32_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        function readFloat_f32_rev(buf, pos) {\r\n            f8b[3] = buf[pos    ];\r\n            f8b[2] = buf[pos + 1];\r\n            f8b[1] = buf[pos + 2];\r\n            f8b[0] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readFloatLE = le ? readFloat_f32_cpy : readFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.readFloatBE = le ? readFloat_f32_rev : readFloat_f32_cpy;\r\n\r\n    // float: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeFloat_ieee754(writeUint, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0)\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos);\r\n            else if (isNaN(val))\r\n                writeUint(2143289344, buf, pos);\r\n            else if (val > 3.4028234663852886e+38) // +-Infinity\r\n                writeUint((sign << 31 | 2139095040) >>> 0, buf, pos);\r\n            else if (val < 1.1754943508222875e-38) // denormal\r\n                writeUint((sign << 31 | Math.round(val / 1.401298464324817e-45)) >>> 0, buf, pos);\r\n            else {\r\n                var exponent = Math.floor(Math.log(val) / Math.LN2),\r\n                    mantissa = Math.round(val * Math.pow(2, -exponent) * 8388608) & 8388607;\r\n                writeUint((sign << 31 | exponent + 127 << 23 | mantissa) >>> 0, buf, pos);\r\n            }\r\n        }\r\n\r\n        exports.writeFloatLE = writeFloat_ieee754.bind(null, writeUintLE);\r\n        exports.writeFloatBE = writeFloat_ieee754.bind(null, writeUintBE);\r\n\r\n        function readFloat_ieee754(readUint, buf, pos) {\r\n            var uint = readUint(buf, pos),\r\n                sign = (uint >> 31) * 2 + 1,\r\n                exponent = uint >>> 23 & 255,\r\n                mantissa = uint & 8388607;\r\n            return exponent === 255\r\n                ? mantissa\r\n                ? NaN\r\n                : sign * Infinity\r\n                : exponent === 0 // denormal\r\n                ? sign * 1.401298464324817e-45 * mantissa\r\n                : sign * Math.pow(2, exponent - 150) * (mantissa + 8388608);\r\n        }\r\n\r\n        exports.readFloatLE = readFloat_ieee754.bind(null, readUintLE);\r\n        exports.readFloatBE = readFloat_ieee754.bind(null, readUintBE);\r\n\r\n    })();\r\n\r\n    // double: typed array\r\n    if (typeof Float64Array !== \"undefined\") (function() {\r\n\r\n        var f64 = new Float64Array([-0]),\r\n            f8b = new Uint8Array(f64.buffer),\r\n            le  = f8b[7] === 128;\r\n\r\n        function writeDouble_f64_cpy(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n            buf[pos + 4] = f8b[4];\r\n            buf[pos + 5] = f8b[5];\r\n            buf[pos + 6] = f8b[6];\r\n            buf[pos + 7] = f8b[7];\r\n        }\r\n\r\n        function writeDouble_f64_rev(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[7];\r\n            buf[pos + 1] = f8b[6];\r\n            buf[pos + 2] = f8b[5];\r\n            buf[pos + 3] = f8b[4];\r\n            buf[pos + 4] = f8b[3];\r\n            buf[pos + 5] = f8b[2];\r\n            buf[pos + 6] = f8b[1];\r\n            buf[pos + 7] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleLE = le ? writeDouble_f64_cpy : writeDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleBE = le ? writeDouble_f64_rev : writeDouble_f64_cpy;\r\n\r\n        function readDouble_f64_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            f8b[4] = buf[pos + 4];\r\n            f8b[5] = buf[pos + 5];\r\n            f8b[6] = buf[pos + 6];\r\n            f8b[7] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        function readDouble_f64_rev(buf, pos) {\r\n            f8b[7] = buf[pos    ];\r\n            f8b[6] = buf[pos + 1];\r\n            f8b[5] = buf[pos + 2];\r\n            f8b[4] = buf[pos + 3];\r\n            f8b[3] = buf[pos + 4];\r\n            f8b[2] = buf[pos + 5];\r\n            f8b[1] = buf[pos + 6];\r\n            f8b[0] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readDoubleLE = le ? readDouble_f64_cpy : readDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.readDoubleBE = le ? readDouble_f64_rev : readDouble_f64_cpy;\r\n\r\n    // double: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeDouble_ieee754(writeUint, off0, off1, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos + off1);\r\n            } else if (isNaN(val)) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(2146959360, buf, pos + off1);\r\n            } else if (val > 1.7976931348623157e+308) { // +-Infinity\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint((sign << 31 | 2146435072) >>> 0, buf, pos + off1);\r\n            } else {\r\n                var mantissa;\r\n                if (val < 2.2250738585072014e-308) { // denormal\r\n                    mantissa = val / 5e-324;\r\n                    writeUint(mantissa >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | mantissa / 4294967296) >>> 0, buf, pos + off1);\r\n                } else {\r\n                    var exponent = Math.floor(Math.log(val) / Math.LN2);\r\n                    if (exponent === 1024)\r\n                        exponent = 1023;\r\n                    mantissa = val * Math.pow(2, -exponent);\r\n                    writeUint(mantissa * 4503599627370496 >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | exponent + 1023 << 20 | mantissa * 1048576 & 1048575) >>> 0, buf, pos + off1);\r\n                }\r\n            }\r\n        }\r\n\r\n        exports.writeDoubleLE = writeDouble_ieee754.bind(null, writeUintLE, 0, 4);\r\n        exports.writeDoubleBE = writeDouble_ieee754.bind(null, writeUintBE, 4, 0);\r\n\r\n        function readDouble_ieee754(readUint, off0, off1, buf, pos) {\r\n            var lo = readUint(buf, pos + off0),\r\n                hi = readUint(buf, pos + off1);\r\n            var sign = (hi >> 31) * 2 + 1,\r\n                exponent = hi >>> 20 & 2047,\r\n                mantissa = 4294967296 * (hi & 1048575) + lo;\r\n            return exponent === 2047\r\n                ? mantissa\r\n                ? 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strict\";\r\n\r\nmodule.exports = factory(factory);\r\n\r\n/**\r\n * Reads / writes floats / doubles from / to buffers.\r\n * @name util.float\r\n * @namespace\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using little endian byte order.\r\n * @name util.float.writeFloatLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using big endian byte order.\r\n * @name util.float.writeFloatBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using little endian byte order.\r\n * @name util.float.readFloatLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using big endian byte order.\r\n * @name util.float.readFloatBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using little endian byte order.\r\n * @name util.float.writeDoubleLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using big endian byte order.\r\n * @name util.float.writeDoubleBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using little endian byte order.\r\n * @name util.float.readDoubleLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using big endian byte order.\r\n * @name util.float.readDoubleBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n// Factory function for the purpose of node-based testing in modified global environments\r\nfunction factory(exports) {\r\n\r\n    // float: typed array\r\n    if (typeof Float32Array !== \"undefined\") (function() {\r\n\r\n        var f32 = new Float32Array([ -0 ]),\r\n            f8b = new Uint8Array(f32.buffer),\r\n            le  = f8b[3] === 128;\r\n\r\n        function writeFloat_f32_cpy(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n        }\r\n\r\n        function writeFloat_f32_rev(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[3];\r\n            buf[pos + 1] = f8b[2];\r\n            buf[pos + 2] = f8b[1];\r\n            buf[pos + 3] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeFloatLE = le ? writeFloat_f32_cpy : writeFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeFloatBE = le ? writeFloat_f32_rev : writeFloat_f32_cpy;\r\n\r\n        function readFloat_f32_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        function readFloat_f32_rev(buf, pos) {\r\n            f8b[3] = buf[pos    ];\r\n            f8b[2] = buf[pos + 1];\r\n            f8b[1] = buf[pos + 2];\r\n            f8b[0] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readFloatLE = le ? readFloat_f32_cpy : readFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.readFloatBE = le ? readFloat_f32_rev : readFloat_f32_cpy;\r\n\r\n    // float: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeFloat_ieee754(writeUint, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0)\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos);\r\n            else if (isNaN(val))\r\n                writeUint(2143289344, buf, pos);\r\n            else if (val > 3.4028234663852886e+38) // +-Infinity\r\n                writeUint((sign << 31 | 2139095040) >>> 0, buf, pos);\r\n            else if (val < 1.1754943508222875e-38) // denormal\r\n                writeUint((sign << 31 | Math.round(val / 1.401298464324817e-45)) >>> 0, buf, pos);\r\n            else {\r\n                var exponent = Math.floor(Math.log(val) / Math.LN2),\r\n                    mantissa = Math.round(val * Math.pow(2, -exponent) * 8388608) & 8388607;\r\n                writeUint((sign << 31 | exponent + 127 << 23 | mantissa) >>> 0, buf, pos);\r\n            }\r\n        }\r\n\r\n        exports.writeFloatLE = writeFloat_ieee754.bind(null, writeUintLE);\r\n        exports.writeFloatBE = writeFloat_ieee754.bind(null, writeUintBE);\r\n\r\n        function readFloat_ieee754(readUint, buf, pos) {\r\n            var uint = readUint(buf, pos),\r\n                sign = (uint >> 31) * 2 + 1,\r\n                exponent = uint >>> 23 & 255,\r\n                mantissa = uint & 8388607;\r\n            return exponent === 255\r\n                ? mantissa\r\n                ? NaN\r\n                : sign * Infinity\r\n                : exponent === 0 // denormal\r\n                ? sign * 1.401298464324817e-45 * mantissa\r\n                : sign * Math.pow(2, exponent - 150) * (mantissa + 8388608);\r\n        }\r\n\r\n        exports.readFloatLE = readFloat_ieee754.bind(null, readUintLE);\r\n        exports.readFloatBE = readFloat_ieee754.bind(null, readUintBE);\r\n\r\n    })();\r\n\r\n    // double: typed array\r\n    if (typeof Float64Array !== \"undefined\") (function() {\r\n\r\n        var f64 = new Float64Array([-0]),\r\n            f8b = new Uint8Array(f64.buffer),\r\n            le  = f8b[7] === 128;\r\n\r\n        function writeDouble_f64_cpy(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n            buf[pos + 4] = f8b[4];\r\n            buf[pos + 5] = f8b[5];\r\n            buf[pos + 6] = f8b[6];\r\n            buf[pos + 7] = f8b[7];\r\n        }\r\n\r\n        function writeDouble_f64_rev(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[7];\r\n            buf[pos + 1] = f8b[6];\r\n            buf[pos + 2] = f8b[5];\r\n            buf[pos + 3] = f8b[4];\r\n            buf[pos + 4] = f8b[3];\r\n            buf[pos + 5] = f8b[2];\r\n            buf[pos + 6] = f8b[1];\r\n            buf[pos + 7] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleLE = le ? writeDouble_f64_cpy : writeDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleBE = le ? writeDouble_f64_rev : writeDouble_f64_cpy;\r\n\r\n        function readDouble_f64_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            f8b[4] = buf[pos + 4];\r\n            f8b[5] = buf[pos + 5];\r\n            f8b[6] = buf[pos + 6];\r\n            f8b[7] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        function readDouble_f64_rev(buf, pos) {\r\n            f8b[7] = buf[pos    ];\r\n            f8b[6] = buf[pos + 1];\r\n            f8b[5] = buf[pos + 2];\r\n            f8b[4] = buf[pos + 3];\r\n            f8b[3] = buf[pos + 4];\r\n            f8b[2] = buf[pos + 5];\r\n            f8b[1] = buf[pos + 6];\r\n            f8b[0] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readDoubleLE = le ? readDouble_f64_cpy : readDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.readDoubleBE = le ? readDouble_f64_rev : readDouble_f64_cpy;\r\n\r\n    // double: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeDouble_ieee754(writeUint, off0, off1, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos + off1);\r\n            } else if (isNaN(val)) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(2146959360, buf, pos + off1);\r\n            } else if (val > 1.7976931348623157e+308) { // +-Infinity\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint((sign << 31 | 2146435072) >>> 0, buf, pos + off1);\r\n            } else {\r\n                var mantissa;\r\n                if (val < 2.2250738585072014e-308) { // denormal\r\n                    mantissa = val / 5e-324;\r\n                    writeUint(mantissa >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | mantissa / 4294967296) >>> 0, buf, pos + off1);\r\n                } else {\r\n                    var exponent = Math.floor(Math.log(val) / Math.LN2);\r\n                    if (exponent === 1024)\r\n                        exponent = 1023;\r\n                    mantissa = val * Math.pow(2, -exponent);\r\n                    writeUint(mantissa * 4503599627370496 >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | exponent + 1023 << 20 | mantissa * 1048576 & 1048575) >>> 0, buf, pos + off1);\r\n                }\r\n            }\r\n        }\r\n\r\n        exports.writeDoubleLE = writeDouble_ieee754.bind(null, writeUintLE, 0, 4);\r\n        exports.writeDoubleBE = writeDouble_ieee754.bind(null, writeUintBE, 4, 0);\r\n\r\n        function readDouble_ieee754(readUint, off0, off1, buf, pos) {\r\n            var lo = readUint(buf, pos + off0),\r\n                hi = readUint(buf, pos + off1);\r\n            var sign = (hi >> 31) * 2 + 1,\r\n                exponent = hi >>> 20 & 2047,\r\n                mantissa = 4294967296 * (hi & 1048575) + lo;\r\n            return exponent === 2047\r\n                ? mantissa\r\n                ? NaN\r\n                : sign * Infinity\r\n                : exponent === 0 // denormal\r\n                ? sign * 5e-324 * mantissa\r\n                : sign * Math.pow(2, exponent - 1075) * (mantissa + 4503599627370496);\r\n        }\r\n\r\n        exports.readDoubleLE = readDouble_ieee754.bind(null, readUintLE, 0, 4);\r\n        exports.readDoubleBE = readDouble_ieee754.bind(null, readUintBE, 4, 0);\r\n\r\n    })();\r\n\r\n    return exports;\r\n}\r\n\r\n// uint helpers\r\n\r\nfunction writeUintLE(val, buf, pos) {\r\n    buf[pos    ] =  val        & 255;\r\n    buf[pos + 1] =  val >>> 8  & 255;\r\n    buf[pos + 2] =  val >>> 16 & 255;\r\n    buf[pos + 3] =  val >>> 24;\r\n}\r\n\r\nfunction writeUintBE(val, buf, pos) {\r\n    buf[pos    ] =  val >>> 24;\r\n    buf[pos + 1] =  val >>> 16 & 255;\r\n    buf[pos + 2] =  val >>> 8  & 255;\r\n    buf[pos + 3] =  val        & 255;\r\n}\r\n\r\nfunction readUintLE(buf, pos) {\r\n    return (buf[pos    ]\r\n          | buf[pos + 1] << 8\r\n          | buf[pos + 2] << 16\r\n          | buf[pos + 3] << 24) >>> 0;\r\n}\r\n\r\nfunction readUintBE(buf, pos) {\r\n    return (buf[pos    ] << 24\r\n          | buf[pos + 1] << 16\r\n          | buf[pos + 2] << 8\r\n          | buf[pos + 3]) >>> 0;\r\n}\r\n"},"lineCount":336}},"hash":"fed9ae8844a934b6338bb5b4469e3be9","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/2242d99cf35aa3bd3ee3e0e44b0d0614.json b/tictac/.cache/2242d99cf35aa3bd3ee3e0e44b0d0614.json
new file mode 100644
index 00000000..78e32849
--- /dev/null
+++ b/tictac/.cache/2242d99cf35aa3bd3ee3e0e44b0d0614.json
@@ -0,0 +1 @@
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new file mode 100644
index 00000000..d688397b
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diff --git a/tictac/.cache/2da94a8eaa88a2cab23d5de7ccc429bc.json b/tictac/.cache/2da94a8eaa88a2cab23d5de7ccc429bc.json
new file mode 100644
index 00000000..54a5caa8
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charCodeAt.call(hash, 2) << 16\r\n        | charCodeAt.call(hash, 3) << 24) >>> 0\r\n    ,\r\n        ( charCodeAt.call(hash, 4)\r\n        | charCodeAt.call(hash, 5) << 8\r\n        | charCodeAt.call(hash, 6) << 16\r\n        | charCodeAt.call(hash, 7) << 24) >>> 0\r\n    );\r\n};\r\n\r\n/**\r\n * Converts this long bits to a 8 characters long hash.\r\n * @returns {string} Hash\r\n */\r\nLongBits.prototype.toHash = function toHash() {\r\n    return String.fromCharCode(\r\n        this.lo        & 255,\r\n        this.lo >>> 8  & 255,\r\n        this.lo >>> 16 & 255,\r\n        this.lo >>> 24      ,\r\n        this.hi        & 255,\r\n        this.hi >>> 8  & 255,\r\n        this.hi >>> 16 & 255,\r\n        this.hi >>> 24\r\n    );\r\n};\r\n\r\n/**\r\n * Zig-zag encodes this long bits.\r\n * @returns {util.LongBits} `this`\r\n */\r\nLongBits.prototype.zzEncode = function zzEncode() {\r\n    var mask =   this.hi >> 31;\r\n    this.hi  = ((this.hi << 1 | this.lo >>> 31) ^ mask) >>> 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diff --git a/tictac/.cache/2f2e51b49e90817701fa8e335d2fcc78.json b/tictac/.cache/2f2e51b49e90817701fa8e335d2fcc78.json
new file mode 100644
index 00000000..b5968725
--- /dev/null
+++ b/tictac/.cache/2f2e51b49e90817701fa8e335d2fcc78.json
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(inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outL <<= 1;\n    outL |= (inR >> (j + i)) & 1;\n  }\n\n  // 1, 9, 17, 25, 33, 41, 49, 57\n  // 2, 10, 18, 26, 34, 42, 50, 58\n  // 3, 11, 19, 27, 35, 43, 51, 59\n  // 36, 44, 52, 60\n  for (var i = 1; i <= 3; i++) {\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outR <<= 1;\n    outR |= (inL >> (j + i)) & 1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.r28shl = function r28shl(num, shift) {\n  return ((num << shift) & 0xfffffff) | (num >>> (28 - shift));\n};\n\nvar pc2table = [\n  // inL => outL\n  14, 11, 17, 4, 27, 23, 25, 0,\n  13, 22, 7, 18, 5, 9, 16, 24,\n  2, 20, 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7, 1, 4, 2, 14, 15, 2, 11, 13, 8, 1,\n  3, 10, 10, 6, 6, 12, 12, 11, 5, 9, 9, 5, 0, 3, 7, 8,\n  4, 15, 1, 12, 14, 8, 8, 2, 13, 4, 6, 9, 2, 1, 11, 7,\n  15, 5, 12, 11, 9, 3, 7, 14, 3, 10, 10, 0, 5, 6, 0, 13,\n\n  15, 3, 1, 13, 8, 4, 14, 7, 6, 15, 11, 2, 3, 8, 4, 14,\n  9, 12, 7, 0, 2, 1, 13, 10, 12, 6, 0, 9, 5, 11, 10, 5,\n  0, 13, 14, 8, 7, 10, 11, 1, 10, 3, 4, 15, 13, 4, 1, 2,\n  5, 11, 8, 6, 12, 7, 6, 12, 9, 0, 3, 5, 2, 14, 15, 9,\n\n  10, 13, 0, 7, 9, 0, 14, 9, 6, 3, 3, 4, 15, 6, 5, 10,\n  1, 2, 13, 8, 12, 5, 7, 14, 11, 12, 4, 11, 2, 15, 8, 1,\n  13, 1, 6, 10, 4, 13, 9, 0, 8, 6, 15, 9, 3, 8, 0, 7,\n  11, 4, 1, 15, 2, 14, 12, 3, 5, 11, 10, 5, 14, 2, 7, 12,\n\n  7, 13, 13, 8, 14, 11, 3, 5, 0, 6, 6, 15, 9, 0, 10, 3,\n  1, 4, 2, 7, 8, 2, 5, 12, 11, 1, 12, 10, 4, 14, 15, 9,\n  10, 3, 6, 15, 9, 0, 0, 6, 12, 10, 11, 1, 7, 13, 13, 8,\n  15, 9, 1, 4, 3, 5, 14, 11, 5, 12, 2, 7, 8, 2, 4, 14,\n\n  2, 14, 12, 11, 4, 2, 1, 12, 7, 4, 10, 7, 11, 13, 6, 1,\n  8, 5, 5, 0, 3, 15, 15, 10, 13, 3, 0, 9, 14, 8, 9, 6,\n  4, 11, 2, 8, 1, 12, 11, 7, 10, 1, 13, 14, 7, 2, 8, 13,\n  15, 6, 9, 15, 12, 0, 5, 9, 6, 10, 3, 4, 0, 5, 14, 3,\n\n  12, 10, 1, 15, 10, 4, 15, 2, 9, 7, 2, 12, 6, 9, 8, 5,\n  0, 6, 13, 1, 3, 13, 4, 14, 14, 0, 7, 11, 5, 3, 11, 8,\n  9, 4, 14, 3, 15, 2, 5, 12, 2, 9, 8, 5, 12, 15, 3, 10,\n  7, 11, 0, 14, 4, 1, 10, 7, 1, 6, 13, 0, 11, 8, 6, 13,\n\n  4, 13, 11, 0, 2, 11, 14, 7, 15, 4, 0, 9, 8, 1, 13, 10,\n  3, 14, 12, 3, 9, 5, 7, 12, 5, 2, 10, 15, 6, 8, 1, 6,\n  1, 6, 4, 11, 11, 13, 13, 8, 12, 1, 3, 4, 7, 10, 14, 7,\n  10, 9, 15, 5, 6, 0, 8, 15, 0, 14, 5, 2, 9, 3, 2, 12,\n\n  13, 1, 2, 15, 8, 13, 4, 8, 6, 10, 15, 3, 11, 7, 1, 4,\n  10, 12, 9, 5, 3, 6, 14, 11, 5, 0, 0, 14, 12, 9, 7, 2,\n  7, 2, 11, 1, 4, 14, 1, 7, 9, 4, 12, 10, 14, 8, 2, 13,\n  0, 15, 6, 12, 10, 9, 13, 0, 15, 3, 3, 5, 5, 6, 8, 11\n];\n\nexports.substitute = function substitute(inL, inR) {\n  var out = 0;\n  for (var i = 0; i < 4; i++) {\n    var b = (inL >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  for (var i = 0; i < 4; i++) {\n    var b = (inR >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[4 * 0x40 + i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  return out >>> 0;\n};\n\nvar permuteTable = [\n  16, 25, 12, 11, 3, 20, 4, 15, 31, 17, 9, 6, 27, 14, 1, 22,\n  30, 24, 8, 18, 0, 5, 29, 23, 13, 19, 2, 26, 10, 21, 28, 7\n];\n\nexports.permute = function permute(num) {\n  var out = 0;\n  for (var i = 0; i < permuteTable.length; i++) {\n    out <<= 1;\n    out |= (num >>> permuteTable[i]) & 0x1;\n  }\n  return out >>> 0;\n};\n\nexports.padSplit = function padSplit(num, size, group) {\n  var str = num.toString(2);\n  while (str.length < size)\n    str = '0' + str;\n\n  var out = [];\n  for (var i = 0; i < size; i += group)\n    out.push(str.slice(i, i + group));\n  return out.join(' ');\n};\n"},"lineCount":257}},"hash":"f5ed235e26f27f2631ec07942bc09272","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/34ac643cd4ebaef4ccfe9c274ebf7ee9.json b/tictac/.cache/34ac643cd4ebaef4ccfe9c274ebf7ee9.json
new file mode 100644
index 00000000..eecf5eb6
--- /dev/null
+++ b/tictac/.cache/34ac643cd4ebaef4ccfe9c274ebf7ee9.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"safe-buffer","loc":{"line":1,"column":21}}],"generated":{"js":"\nvar Buffer = require('safe-buffer').Buffer\nvar ZEROES = Buffer.alloc(16, 0)\n\nfunction toArray (buf) {\n  return [\n    buf.readUInt32BE(0),\n    buf.readUInt32BE(4),\n    buf.readUInt32BE(8),\n    buf.readUInt32BE(12)\n  ]\n}\n\nfunction fromArray (out) {\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0] >>> 0, 0)\n  buf.writeUInt32BE(out[1] >>> 0, 4)\n  buf.writeUInt32BE(out[2] >>> 0, 8)\n  buf.writeUInt32BE(out[3] >>> 0, 12)\n  return buf\n}\n\nfunction GHASH (key) {\n  this.h = key\n  this.state = Buffer.alloc(16, 0)\n  this.cache = Buffer.allocUnsafe(0)\n}\n\n// from http://bitwiseshiftleft.github.io/sjcl/doc/symbols/src/core_gcm.js.html\n// by Juho Vähä-Herttua\nGHASH.prototype.ghash = function (block) {\n  var i = -1\n  while (++i < block.length) {\n    this.state[i] ^= block[i]\n  }\n  this._multiply()\n}\n\nGHASH.prototype._multiply = function () {\n  var Vi = toArray(this.h)\n  var Zi = [0, 0, 0, 0]\n  var j, xi, lsbVi\n  var i = -1\n  while (++i < 128) {\n    xi = (this.state[~~(i / 8)] & (1 << (7 - (i % 8)))) !== 0\n    if (xi) {\n      // Z_i+1 = Z_i ^ V_i\n      Zi[0] ^= Vi[0]\n      Zi[1] ^= Vi[1]\n      Zi[2] ^= Vi[2]\n      Zi[3] ^= Vi[3]\n    }\n\n    // Store the value of LSB(V_i)\n    lsbVi = (Vi[3] & 1) !== 0\n\n    // V_i+1 = V_i >> 1\n    for (j = 3; j > 0; j--) {\n      Vi[j] = (Vi[j] >>> 1) | ((Vi[j - 1] & 1) << 31)\n    }\n    Vi[0] = Vi[0] >>> 1\n\n    // If LSB(V_i) is 1, V_i+1 = (V_i >> 1) ^ R\n    if (lsbVi) {\n      Vi[0] = Vi[0] ^ (0xe1 << 24)\n    }\n  }\n  this.state = fromArray(Zi)\n}\n\nGHASH.prototype.update = 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\ No newline at end of file
diff --git a/tictac/.cache/38087db7ce403aa29feb0082a2fdb97e.json b/tictac/.cache/38087db7ce403aa29feb0082a2fdb97e.json
new file mode 100644
index 00000000..70540fc3
--- /dev/null
+++ b/tictac/.cache/38087db7ce403aa29feb0082a2fdb97e.json
@@ -0,0 +1 @@
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  }\n    return printstr;\n  } else if (/str$/.test(tag)) {\n    return buffer.raw().toString();\n  } else {\n    return buffer.error('Decoding of string type: ' + tag + ' unsupported');\n  }\n};\n\nDERNode.prototype._decodeObjid = function decodeObjid(buffer, values, relative) {\n  var result;\n  var identifiers = [];\n  var ident = 0;\n  while (!buffer.isEmpty()) {\n    var subident = buffer.readUInt8();\n    ident <<= 7;\n    ident |= subident & 0x7f;\n    if ((subident & 0x80) === 0) {\n      identifiers.push(ident);\n      ident = 0;\n    }\n  }\n  if (subident & 0x80)\n    identifiers.push(ident);\n\n  var first = (identifiers[0] / 40) | 0;\n  var second = identifiers[0] % 40;\n\n  if (relative)\n    result = identifiers;\n  else\n    result = [first, second].concat(identifiers.slice(1));\n\n  if (values) {\n    var tmp = values[result.join(' ')];\n    if (tmp === undefined)\n      tmp = values[result.join('.')];\n    if (tmp !== undefined)\n      result = tmp;\n  }\n\n  return 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diff --git a/tictac/.cache/381c1af94489f87e1ad59d5954822d10.json b/tictac/.cache/381c1af94489f87e1ad59d5954822d10.json
new file mode 100644
index 00000000..87123dfd
--- /dev/null
+++ b/tictac/.cache/381c1af94489f87e1ad59d5954822d10.json
@@ -0,0 +1 @@
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r.forEach(function (e, r) {\n      assertArgumentIsTensor(e, n + \"[\" + r + \"]\", t);\n    }) : assertArgumentIsTensor(r, n, t);\n  };for (var r in e) n(r);\n}function shuffle(e) {\n  for (var t = e.length, n = 0, r = 0; t > 0;) r = Math.random() * t | 0, n = e[--t], e[t] = e[r], e[r] = n;\n}function clamp(e, t, n) {\n  return Math.max(e, Math.min(t, n));\n}function randUniform(e, t) {\n  return Math.random() * (t - e) + e;\n}function distSquared(e, t) {\n  for (var n = 0, r = 0; r < e.length; r++) {\n    var a = Number(e[r]) - Number(t[r]);n += a * a;\n  }return n;\n}function assert(e, t) {\n  if (!e) throw new Error(t);\n}function assertShapesMatch(e, t, n) {\n  void 0 === n && (n = \"\"), assert(arraysEqual(e, t), n + \" Shapes \" + e + \" and \" + t + \" must match\");\n}function assertTypesMatch(e, t) {\n  assert(e.dtype === t.dtype, \" The dtypes of the first(\" + e.dtype + \") and second(\" + t.dtype + \") input must match\");\n}function flatten(e, t) {\n  if (void 0 === t && (t = []), Array.isArray(e)) for (var n = 0; n < e.length; ++n) flatten(e[n], t);else t.push(e);return t;\n}function inferShape(e) {\n  if (isTypedArray(e)) return [e.length];if (!Array.isArray(e)) return [];for (var t = []; e instanceof Array;) t.push(e.length), e = e[0];return t;\n}function sizeFromShape(e) {\n  if (0 === e.length) return 1;for (var t = e[0], n = 1; n < e.length; n++) t *= e[n];return t;\n}function isScalarShape(e) {\n  return 0 === e.length;\n}function arraysEqual(e, t) {\n  if (e.length !== t.length) return !1;for (var n = 0; n < e.length; n++) if (e[n] !== t[n]) return !1;return !0;\n}function isInt(e) {\n  return e % 1 == 0;\n}function tanh(e) {\n  if (null != Math.tanh) return Math.tanh(e);if (e === 1 / 0) return 1;if (e === -1 / 0) return -1;var t = Math.exp(2 * e);return (t - 1) / (t + 1);\n}function sizeToSquarishShape(e) {\n  for (var t = Math.floor(Math.sqrt(e)); t > 1; --t) if (e % t == 0) return [t, e / t];return [1, e];\n}function createShuffledIndices(e) {\n  for (var t = new Uint32Array(e), n = 0; n < e; ++n) t[n] = n;return shuffle(t), t;\n}function rightPad(e, t) {\n  return t <= e.length ? e : e + \" \".repeat(t - e.length);\n}function repeatedTry(e, t, n) {\n  return void 0 === t && (t = function (e) {\n    return 0;\n  }), new Promise(function (r, a) {\n    var o = 0,\n        i = function () {\n      if (e()) r();else {\n        var s = t(++o);null != n && o >= n ? a() : setTimeout(i, s);\n      }\n    };i();\n  });\n}function getQueryParams(e) {\n  var t = {};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, function (e) {\n    for (var n = [], r = 1; r < arguments.length; r++) n[r - 1] = arguments[r];return decodeParam(t, n[0], n[1]), n.join(\"=\");\n  }), t;\n}function decodeParam(e, t, n) {\n  e[decodeURIComponent(t)] = decodeURIComponent(n || \"\");\n}function inferFromImplicitShape(e, t) {\n  for (var n = 1, r = -1, a = 0; a < e.length; ++a) if (e[a] > 0) n *= e[a];else if (-1 === e[a]) {\n    if (-1 !== r) throw Error(\"Shapes can only have 1 implicit size. Found - 1 at dim \" + r + \" and dim \" + a);r = a;\n  } else if (e[a] <= 0) throw Error(\"Shapes can not be <= 0. Found \" + e[a] + \" at dim \" + a);if (-1 === r) {\n    if (t > 0 && t !== n) throw Error(\"Size(\" + t + \") must match the product of shape \" + e);return e;\n  }if (t % n != 0) throw Error(\"The implicit shape can't be a fractional number. Got \" + t + \" / \" + n);var o = e.slice();return o[r] = t / n, o;\n}function squeezeShape(e, t) {\n  for (var n = [], r = [], a = 0, o = 0; o < e.length; ++o) {\n    if (null != t) {\n      if (t[a] === o && e[o] > 1) throw new Error(\"Can't squeeze axis \" + o + \" since its dim '\" + e[o] + \"' is not 1\");(null == t[a] || t[a] > o) && 1 === e[o] && (n.push(e[o]), r.push(o)), t[a] <= o && a++;\n    }e[o] > 1 && (n.push(e[o]), r.push(o));\n  }return { newShape: n, keptDims: r };\n}function getTypedArrayFromDType(e, t) {\n  var n = null;if (null == e || \"float32\" === e) n = new Float32Array(t);else if (\"int32\" === e) n = new Int32Array(t);else {\n    if (\"bool\" !== e) throw new Error(\"Unknown data type \" + e);n = new Uint8Array(t);\n  }return n;\n}function isTensorInList(e, t) {\n  for (var n = 0; n < t.length; n++) if (t[n].id === e.id) return !0;return !1;\n}function checkForNaN(e, t, n) {\n  if (\"float32\" === t) for (var r = 0; r < e.length; r++) if (isNaN(e[r])) throw Error(\"The result of the '\" + n + \"' has NaNs.\");\n}function flattenNameArrayMap(e, t) {\n  var n = [];if (e instanceof Tensor) n.push(e);else for (var r = e, a = 0; a < t.length; a++) n.push(r[t[a]]);return n;\n}function unflattenToNameArrayMap(e, t) {\n  if (e.length !== t.length) throw new Error(\"Cannot unflatten Tensor[], keys and arrays are not of same length.\");for (var n = {}, r = 0; r < e.length; r++) n[e[r]] = t[r];return n;\n}function hasEncodingLoss(e, t) {\n  return \"float32\" !== t && (\"int32\" !== t || \"float32\" === e) && (\"bool\" !== t || \"bool\" !== e);\n}function copyTypedArray(e, t) {\n  if (null == t || \"float32\" === t) return new Float32Array(e);if (\"int32\" === t) return new Int32Array(e);if (\"bool\" === t) {\n    for (var n = new Uint8Array(e.length), r = 0; r < n.length; ++r) 0 !== Math.round(e[r]) && (n[r] = 1);return n;\n  }throw new Error(\"Unknown data type \" + t);\n}function isTypedArray(e) {\n  return e instanceof Float32Array || e instanceof Int32Array || e instanceof Uint8Array;\n}function bytesPerElement(e) {\n  if (\"float32\" === e || \"int32\" === e) return 4;if (\"bool\" === e) return 1;throw new Error(\"Unknown dtype \" + e);\n}function isFunction(e) {\n  return !!(e && e.constructor && e.call && e.apply);\n}function getTensorsInContainer(e) {\n  var t = [];return walkTensorContainer(e, t, new Set()), t;\n}function walkTensorContainer(e, t, n) {\n  if (null != e) if (e instanceof Tensor) t.push(e);else if (isIterable(e)) {\n    var r = e;for (var a in r) {\n      var o = r[a];n.has(o) || (n.add(o), walkTensorContainer(o, t, n));\n    }\n  }\n}function nearestDivisor(e, t) {\n  for (var n = t; n < e; ++n) if (e % n == 0) return n;return e;\n}function isIterable(e) {\n  return Array.isArray(e) || \"object\" == typeof e;\n}var util = Object.freeze({ assertArgumentsAreTensors: assertArgumentsAreTensors, shuffle: shuffle, clamp: clamp, randUniform: randUniform, distSquared: distSquared, assert: assert, assertShapesMatch: assertShapesMatch, assertTypesMatch: assertTypesMatch, flatten: flatten, inferShape: inferShape, sizeFromShape: sizeFromShape, isScalarShape: isScalarShape, arraysEqual: arraysEqual, isInt: isInt, tanh: tanh, sizeToSquarishShape: sizeToSquarishShape, createShuffledIndices: createShuffledIndices, rightPad: rightPad, repeatedTry: repeatedTry, getQueryParams: getQueryParams, inferFromImplicitShape: inferFromImplicitShape, squeezeShape: squeezeShape, getTypedArrayFromDType: getTypedArrayFromDType, isTensorInList: isTensorInList, checkForNaN: checkForNaN, flattenNameArrayMap: flattenNameArrayMap, unflattenToNameArrayMap: unflattenToNameArrayMap, hasEncodingLoss: hasEncodingLoss, copyTypedArray: copyTypedArray, isTypedArray: isTypedArray, bytesPerElement: bytesPerElement, isFunction: isFunction, getTensorsInContainer: getTensorsInContainer, nearestDivisor: nearestDivisor }),\n    FORMAT_LIMIT_NUM_VALS = 20,\n    FORMAT_NUM_FIRST_LAST_VALS = 3,\n    FORMAT_NUM_SIG_DIGITS = 7;function tensorToString(e, t) {\n  var n = e.dataSync(),\n      r = computeMaxSizePerColumn(e),\n      a = subTensorToString(n, e.shape, e.strides, r),\n      o = [\"Tensor\"];return t && (o.push(\"  dtype: \" + e.dtype), o.push(\"  rank: \" + e.rank), o.push(\"  shape: [\" + e.shape + \"]\"), o.push(\"  values:\")), o.push(a.map(function (e) {\n    return \"    \" + e;\n  }).join(\"\\n\")), o.join(\"\\n\");\n}function computeMaxSizePerColumn(e) {\n  var t = e.dataSync(),\n      n = e.size,\n      r = e.strides[e.strides.length - 1],\n      a = new Array(r).fill(0);if (e.rank > 1) for (var o = 0; o < n / r; o++) for (var i = o * r, s = 0; s < r; s++) a[s] = Math.max(a[s], valToString(t[i + s], 0).length);return a;\n}function valToString(e, t) {\n  return rightPad(parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(), t);\n}function subTensorToString(e, t, n, r, a) {\n  void 0 === a && (a = !0);var o = t[0],\n      i = t.length;if (0 === i) return [e[0].toString()];if (1 === i) {\n    if (o > FORMAT_LIMIT_NUM_VALS) {\n      var s = Array.from(e.subarray(0, FORMAT_NUM_FIRST_LAST_VALS)),\n          u = Array.from(e.subarray(o - FORMAT_NUM_FIRST_LAST_VALS, o));return [\"[\" + s.map(function (e, t) {\n        return valToString(e, r[t]);\n      }).join(\", \") + \", ..., \" + u.map(function (e, t) {\n        return valToString(e, r[o - FORMAT_NUM_FIRST_LAST_VALS + t]);\n      }).join(\", \") + \"]\"];\n    }return [\"[\" + Array.from(e).map(function (e, t) {\n      return valToString(e, r[t]);\n    }).join(\", \") + \"]\"];\n  }var l = t.slice(1),\n      c = n.slice(1),\n      d = n[0],\n      p = [];if (o > FORMAT_LIMIT_NUM_VALS) {\n    for (var h = 0; h < FORMAT_NUM_FIRST_LAST_VALS; h++) {\n      var f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, !1));\n    }p.push(\"...\");for (h = o - FORMAT_NUM_FIRST_LAST_VALS; h < o; h++) {\n      f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, h === o - 1));\n    }\n  } else for (h = 0; h < o; h++) {\n    var g;f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, h === o - 1));\n  }var m = 2 === i ? \",\" : \"\";p[0] = \"[\" + p[0] + m;for (h = 1; h < p.length - 1; h++) p[h] = \" \" + p[h] + m;var v = \",\\n\";for (h = 2; h < i; h++) v += \"\\n\";return p[p.length - 1] = \" \" + p[p.length - 1] + \"]\" + (a ? \"\" : v), p;\n}function axesAreInnerMostDims(e, t) {\n  for (var n = 0; n < e.length; ++n) if (e[e.length - n - 1] !== t - 1 - n) return !1;return !0;\n}function combineLocations(e, t, n) {\n  for (var r = e.length + t.length, a = [], o = 0, i = 0, s = 0; s < r; s++) -1 === n.indexOf(s) ? a.push(e[o++]) : a.push(t[i++]);return a;\n}function computeOutAndReduceShapes(e, t) {\n  for (var n = [], r = e.length, a = 0; a < r; a++) -1 === t.indexOf(a) && n.push(e[a]);return [n, t.map(function (t) {\n    return e[t];\n  })];\n}function expandShapeToKeepDim(e, t) {\n  return combineLocations(e, t.map(function (e) {\n    return 1;\n  }), t);\n}function parseAxisParam(e, t) {\n  var n = t.length;return assert((e = null == e ? t.map(function (e, t) {\n    return t;\n  }) : [].concat(e)).every(function (e) {\n    return e >= -n && e < n;\n  }), \"All values in axis param must be in range [-\" + n + \", \" + n + \") but got axis \" + e), assert(e.every(function (e) {\n    return isInt(e);\n  }), \"All values in axis param must be integers but got axis \" + e), e.map(function (e) {\n    return e < 0 ? n + e : e;\n  });\n}function assertAxesAreInnerMostDims(e, t, n) {\n  assert(axesAreInnerMostDims(t, n), e + \" supports only inner-most axes for now. Got axes \" + t + \" and rank-\" + n + \" input.\");\n}function getAxesPermutation(e, t) {\n  if (axesAreInnerMostDims(e, t)) return null;for (var n = [], r = 0; r < t; ++r) -1 === e.indexOf(r) && n.push(r);return e.forEach(function (e) {\n    return n.push(e);\n  }), n;\n}function getUndoAxesPermutation(e) {\n  return e.map(function (e, t) {\n    return [t, e];\n  }).sort(function (e, t) {\n    return e[1] - t[1];\n  }).map(function (e) {\n    return e[0];\n  });\n}function getInnerMostAxes(e, t) {\n  for (var n = [], r = t - e; r < t; ++r) n.push(r);return n;\n}function assertParams(e, t, n) {\n  var r = e.length,\n      a = t.length;assert(e.length === t.length, \"Error in concat\" + r + \"D: rank of x1 (\" + r + \") and x2 (\" + a + \") must be the same.\"), assert(n >= 0 && n < r, \"Error in concat\" + r + \"D: axis must be between 0 and \" + (r - 1) + \".\");for (var o = 0; o < r; o++) assert(o === n || e[o] === t[o], \"Error in concat\" + r + \"D: Shape (\" + e + \") does not match (\" + t + \") along the non-concatenated axis \" + o + \".\");\n}function computeOutShape(e, t, n) {\n  assert(e.length === t.length, \"x1 and x2 should have the same rank.\");var r = e.slice();return r[n] += t[n], r;\n}function computeGradientSliceShapes(e, t) {\n  return { aBegin: [0, 0], aSize: e, bBegin: [0, e[1]], bSize: t };\n}function operation(e, t, n) {\n  var r = n.value;return n.value = function () {\n    for (var e = [], n = 0; n < arguments.length; n++) e[n] = arguments[n];return tidy(t, function () {\n      return r.apply(void 0, e);\n    });\n  }, n;\n}var ConcatOps = function () {\n  function e() {}return e.concat1d = function (t) {\n    return e.concat(t, 0);\n  }, e.concat2d = function (t, n) {\n    return e.concat(t, n);\n  }, e.concat3d = function (t, n) {\n    return e.concat(t, n);\n  }, e.concat4d = function (t, n) {\n    return e.concat(t, n);\n  }, e.concat = function (e, t) {\n    void 0 === t && (t = 0), assert(e.length >= 1, \"Pass at least one tensor to concat\"), assertArgumentsAreTensors({ tensors: e }, \"concat\");var n = e[0];if (1 === e.length) return n;for (var r = parseAxisParam(t, n.shape), a = 1; a < e.length; ++a) n = concat2Tensors(n, e[a], r[0]);return n;\n  }, __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"concat\", null), e;\n}();function concat2Tensors(e, t, n) {\n  assertParams(e.shape, t.shape, n);var r = computeOutShape(e.shape, t.shape, n),\n      a = e.as2D(-1, sizeFromShape(e.shape.slice(n))),\n      o = t.as2D(-1, sizeFromShape(t.shape.slice(n))),\n      i = computeGradientSliceShapes(a.shape, o.shape),\n      s = i.aBegin,\n      u = i.aSize,\n      l = i.bBegin,\n      c = i.bSize;return ENV.engine.runKernel(function (e) {\n    return e.concat(a, o);\n  }, { a: a, b: o }, function (e) {\n    return { a: function () {\n        return e.slice(s, u);\n      }, b: function () {\n        return e.slice(l, c);\n      } };\n  }).reshape(r);\n}var commonjsGlobal = \"undefined\" != typeof window ? window : \"undefined\" != typeof global ? global : \"undefined\" != typeof self ? self : {};function createCommonjsModule(e, t) {\n  return e(t = { exports: {} }, t.exports), t.exports;\n}var alea = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.c = e.c, t.s0 = e.s0, t.s1 = e.s1, t.s2 = e.s2, t;\n    }function a(e, t) {\n      var n = new function (e) {\n        var t,\n            n = this,\n            r = (t = 4022871197, function (e) {\n          e = e.toString();for (var n = 0; n < e.length; n++) {\n            var r = .02519603282416938 * (t += e.charCodeAt(n));r -= t = r >>> 0, t = (r *= t) >>> 0, t += 4294967296 * (r -= t);\n          }return 2.3283064365386963e-10 * (t >>> 0);\n        });n.next = function () {\n          var e = 2091639 * n.s0 + 2.3283064365386963e-10 * n.c;return n.s0 = n.s1, n.s1 = n.s2, n.s2 = e - (n.c = 0 | e);\n        }, n.c = 1, n.s0 = r(\" \"), n.s1 = r(\" \"), n.s2 = r(\" \"), n.s0 -= r(e), n.s0 < 0 && (n.s0 += 1), n.s1 -= r(e), n.s1 < 0 && (n.s1 += 1), n.s2 -= r(e), n.s2 < 0 && (n.s2 += 1), r = null;\n      }(e),\n          a = t && t.state,\n          o = n.next;return o.int32 = function () {\n        return 4294967296 * n.next() | 0;\n      }, o.double = function () {\n        return o() + 1.1102230246251565e-16 * (2097152 * o() | 0);\n      }, o.quick = o, a && (\"object\" == typeof a && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.alea = a;\n  }(0, e, !1);\n}),\n    xor128 = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.x = e.x, t.y = e.y, t.z = e.z, t.w = e.w, t;\n    }function a(e, t) {\n      var n = new function (e) {\n        var t = this,\n            n = \"\";t.x = 0, t.y = 0, t.z = 0, t.w = 0, t.next = function () {\n          var e = t.x ^ t.x << 11;return t.x = t.y, t.y = t.z, t.z = t.w, t.w ^= t.w >>> 19 ^ e ^ e >>> 8;\n        }, e === (0 | e) ? t.x = e : n += e;for (var r = 0; r < n.length + 64; r++) t.x ^= 0 | n.charCodeAt(r), t.next();\n      }(e),\n          a = t && t.state,\n          o = function () {\n        return (n.next() >>> 0) / 4294967296;\n      };return o.double = function () {\n        do {\n          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);\n        } while (0 === e);return e;\n      }, o.int32 = n.next, o.quick = o, a && (\"object\" == typeof a && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.xor128 = a;\n  }(0, e, !1);\n}),\n    xorwow = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.x = e.x, t.y = e.y, t.z = e.z, t.w = e.w, t.v = e.v, t.d = e.d, t;\n    }function a(e, t) {\n      var n = new function (e) {\n        var t = this,\n            n = \"\";t.next = function () {\n          var e = t.x ^ t.x >>> 2;return t.x = t.y, t.y = t.z, t.z = t.w, t.w = t.v, (t.d = t.d + 362437 | 0) + (t.v = t.v ^ t.v << 4 ^ e ^ e << 1) | 0;\n        }, t.x = 0, t.y = 0, t.z = 0, t.w = 0, t.v = 0, e === (0 | e) ? t.x = e : n += e;for (var r = 0; r < n.length + 64; r++) t.x ^= 0 | n.charCodeAt(r), r == n.length && (t.d = t.x << 10 ^ t.x >>> 4), t.next();\n      }(e),\n          a = t && t.state,\n          o = function () {\n        return (n.next() >>> 0) / 4294967296;\n      };return o.double = function () {\n        do {\n          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);\n        } while (0 === e);return e;\n      }, o.int32 = n.next, o.quick = o, a && (\"object\" == typeof a && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.xorwow = a;\n  }(0, e, !1);\n}),\n    xorshift7 = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.x = e.x.slice(), t.i = e.i, t;\n    }function a(e, t) {\n      null == e && (e = +new Date());var n = new function (e) {\n        var t = this;t.next = function () {\n          var e,\n              n,\n              r = t.x,\n              a = t.i;return e = r[a], n = (e ^= e >>> 7) ^ e << 24, n ^= (e = r[a + 1 & 7]) ^ e >>> 10, n ^= (e = r[a + 3 & 7]) ^ e >>> 3, n ^= (e = r[a + 4 & 7]) ^ e << 7, e = r[a + 7 & 7], n ^= (e ^= e << 13) ^ e << 9, r[a] = n, t.i = a + 1 & 7, n;\n        }, function (e, t) {\n          var n,\n              r = [];if (t === (0 | t)) r[0] = t;else for (t = \"\" + t, n = 0; n < t.length; ++n) r[7 & n] = r[7 & n] << 15 ^ t.charCodeAt(n) + r[n + 1 & 7] << 13;for (; r.length < 8;) r.push(0);for (n = 0; n < 8 && 0 === r[n]; ++n);for (8 == n ? r[7] = -1 : r[n], e.x = r, e.i = 0, n = 256; n > 0; --n) e.next();\n        }(t, e);\n      }(e),\n          a = t && t.state,\n          o = function () {\n        return (n.next() >>> 0) / 4294967296;\n      };return o.double = function () {\n        do {\n          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);\n        } while (0 === e);return e;\n      }, o.int32 = n.next, o.quick = o, a && (a.x && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.xorshift7 = a;\n  }(0, e, !1);\n}),\n    xor4096 = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.i = e.i, t.w = e.w, t.X = e.X.slice(), t;\n    }function a(e, t) {\n      null == e && (e = +new Date());var n = new function (e) {\n        var t = this;t.next = function () {\n          var e,\n              n,\n              r = t.w,\n              a = t.X,\n              o = t.i;return t.w = r = r + 1640531527 | 0, n = a[o + 34 & 127], e = a[o = o + 1 & 127], n ^= n << 13, e ^= e << 17, n ^= n >>> 15, e ^= e >>> 12, n = a[o] = n ^ e, t.i = o, n + (r ^ r >>> 16) | 0;\n        }, function (e, t) {\n          var n,\n              r,\n              a,\n              o,\n              i,\n              s = [],\n              u = 128;for (t === (0 | t) ? (r = t, t = null) : (t += \"\\0\", r = 0, u = Math.max(u, t.length)), a = 0, o = -32; o < u; ++o) t && (r ^= t.charCodeAt((o + 32) % t.length)), 0 === o && (i = r), r ^= r << 10, r ^= r >>> 15, r ^= r << 4, r ^= r >>> 13, o >= 0 && (i = i + 1640531527 | 0, a = 0 == (n = s[127 & o] ^= r + i) ? a + 1 : 0);for (a >= 128 && (s[127 & (t && t.length || 0)] = -1), a = 127, o = 512; o > 0; --o) r = s[a + 34 & 127], n = s[a = a + 1 & 127], r ^= r << 13, n ^= n << 17, r ^= r >>> 15, n ^= n >>> 12, s[a] = r ^ n;e.w = i, e.X = s, e.i = a;\n        }(t, e);\n      }(e),\n          a = t && t.state,\n          o = function () {\n        return (n.next() >>> 0) / 4294967296;\n      };return o.double = function () {\n        do {\n          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);\n        } while (0 === e);return e;\n      }, o.int32 = n.next, o.quick = o, a && (a.X && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.xor4096 = a;\n  }(0, e, !1);\n}),\n    tychei = createCommonjsModule(function (e) {\n  !function (e, t, n) {\n    function r(e, t) {\n      return t.a = e.a, t.b = e.b, t.c = e.c, t.d = e.d, t;\n    }function a(e, t) {\n      var n = new function (e) {\n        var t = this,\n            n = \"\";t.next = function () {\n          var e = t.b,\n              n = t.c,\n              r = t.d,\n              a = t.a;return e = e << 25 ^ e >>> 7 ^ n, n = n - r | 0, r = r << 24 ^ r >>> 8 ^ a, a = a - e | 0, t.b = e = e << 20 ^ e >>> 12 ^ n, t.c = n = n - r | 0, t.d = r << 16 ^ n >>> 16 ^ a, t.a = a - e | 0;\n        }, t.a = 0, t.b = 0, t.c = -1640531527, t.d = 1367130551, e === Math.floor(e) ? (t.a = e / 4294967296 | 0, t.b = 0 | e) : n += e;for (var r = 0; r < n.length + 20; r++) t.b ^= 0 | n.charCodeAt(r), t.next();\n      }(e),\n          a = t && t.state,\n          o = function () {\n        return (n.next() >>> 0) / 4294967296;\n      };return o.double = function () {\n        do {\n          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);\n        } while (0 === e);return e;\n      }, o.int32 = n.next, o.quick = o, a && (\"object\" == typeof a && r(a, n), o.state = function () {\n        return r(n, {});\n      }), o;\n    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {\n      return a;\n    }) : this.tychei = a;\n  }(0, e, !1);\n}),\n    seedrandom = createCommonjsModule(function (e) {\n  !function (t, n) {\n    var r,\n        a = this,\n        o = 256,\n        i = 6,\n        s = \"random\",\n        u = n.pow(o, i),\n        l = n.pow(2, 52),\n        c = 2 * l,\n        d = o - 1;function p(e, p, m) {\n      var v = [],\n          y = f(function e(t, n) {\n        var r,\n            a = [],\n            o = typeof t;if (n && \"object\" == o) for (r in t) try {\n          a.push(e(t[r], n - 1));\n        } catch (e) {}return a.length ? a : \"string\" == o ? t : t + \"\\0\";\n      }((p = 1 == p ? { entropy: !0 } : p || {}).entropy ? [e, g(t)] : null == e ? function () {\n        try {\n          var e;return r && (e = r.randomBytes) ? e = e(o) : (e = new Uint8Array(o), (a.crypto || a.msCrypto).getRandomValues(e)), g(e);\n        } catch (e) {\n          var n = a.navigator,\n              i = n && n.plugins;return [+new Date(), a, i, a.screen, g(t)];\n        }\n      }() : e, 3), v),\n          x = new function (e) {\n        var t,\n            n = e.length,\n            r = this,\n            a = 0,\n            i = r.i = r.j = 0,\n            s = r.S = [];n || (e = [n++]);for (; a < o;) s[a] = a++;for (a = 0; a < o; a++) s[a] = s[i = d & i + e[a % n] + (t = s[a])], s[i] = t;(r.g = function (e) {\n          for (var t, n = 0, a = r.i, i = r.j, s = r.S; e--;) t = s[a = d & a + 1], n = n * o + s[d & (s[a] = s[i = d & i + t]) + (s[i] = t)];return r.i = a, r.j = i, n;\n        })(o);\n      }(v),\n          b = function () {\n        for (var e = x.g(i), t = u, n = 0; e < l;) e = (e + n) * o, t *= o, n = x.g(1);for (; e >= c;) e /= 2, t /= 2, n >>>= 1;return (e + n) / t;\n      };return b.int32 = function () {\n        return 0 | x.g(4);\n      }, b.quick = function () {\n        return x.g(4) / 4294967296;\n      }, b.double = b, f(g(x.S), t), (p.pass || m || function (e, t, r, a) {\n        return a && (a.S && h(a, x), e.state = function () {\n          return h(x, {});\n        }), r ? (n[s] = e, t) : e;\n      })(b, y, \"global\" in p ? p.global : this == n, p.state);\n    }function h(e, t) {\n      return t.i = e.i, t.j = e.j, t.S = e.S.slice(), t;\n    }function f(e, t) {\n      for (var n, r = e + \"\", a = 0; a < r.length;) t[d & a] = d & (n ^= 19 * t[d & a]) + r.charCodeAt(a++);return g(t);\n    }function g(e) {\n      return String.fromCharCode.apply(0, e);\n    }if (n[\"seed\" + s] = p, f(n.random(), t), e.exports) {\n      e.exports = p;try {\n        r = require(\"crypto\");\n      } catch (e) {}\n    } else 0;\n  }([], Math);\n});seedrandom.alea = alea, seedrandom.xor128 = xor128, seedrandom.xorwow = xorwow, seedrandom.xorshift7 = xorshift7, seedrandom.xor4096 = xor4096, seedrandom.tychei = tychei;var DType,\n    Rank,\n    UpcastInt32AndMap,\n    UpcastBoolAndMap,\n    UpcastFloat32AndMap,\n    seedrandom$1 = seedrandom,\n    seedrandom_1 = seedrandom$1.alea,\n    MPRandGauss = function () {\n  function e(e, t, n, r, a) {\n    this.mean = e, this.stdDev = t, this.dtype = n, this.nextVal = NaN, this.truncated = r, this.truncated && (this.upper = this.mean + 2 * this.stdDev, this.lower = this.mean - 2 * this.stdDev);var o = a || Math.random();this.random = seedrandom_1(o.toString());\n  }return e.prototype.nextValue = function () {\n    if (!isNaN(this.nextVal)) {\n      var e = this.nextVal;return this.nextVal = NaN, e;\n    }for (var t, n, r = !1; !r;) {\n      var a = void 0,\n          o = void 0,\n          i = void 0;do {\n        i = (a = 2 * this.random() - 1) * a + (o = 2 * this.random() - 1) * o;\n      } while (i >= 1 || 0 === i);var s = Math.sqrt(-2 * Math.log(i) / i);t = this.mean + this.stdDev * a * s, n = this.mean + this.stdDev * o * s, this.truncated && !this.isValidTruncated(t) || (r = !0);\n    }return this.truncated && !this.isValidTruncated(n) || (this.nextVal = this.convertValue(n)), this.convertValue(t);\n  }, e.prototype.convertValue = function (e) {\n    return null == this.dtype || \"float32\" === this.dtype ? e : Math.round(e);\n  }, e.prototype.isValidTruncated = function (e) {\n    return e <= this.upper && e >= this.lower;\n  }, e;\n}();!function (e) {\n  e.float32 = \"float32\", e.int32 = \"int32\", e.bool = \"bool\";\n}(DType || (DType = {})), function (e) {\n  e.R0 = \"R0\", e.R1 = \"R1\", e.R2 = \"R2\", e.R3 = \"R3\", e.R4 = \"R4\", e.R5 = \"R5\", e.R6 = \"R6\";\n}(Rank || (exports.Rank = Rank = {})), function (e) {\n  e.float32 = \"float32\", e.int32 = \"int32\", e.bool = \"int32\";\n}(UpcastInt32AndMap || (UpcastInt32AndMap = {})), function (e) {\n  e.float32 = \"float32\", e.int32 = \"int32\", e.bool = \"bool\";\n}(UpcastBoolAndMap || (UpcastBoolAndMap = {})), function (e) {\n  e.float32 = \"float32\", e.int32 = \"float32\", e.bool = \"float32\";\n}(UpcastFloat32AndMap || (UpcastFloat32AndMap = {}));var upcastTypeMap = { float32: UpcastFloat32AndMap, int32: UpcastInt32AndMap, bool: UpcastBoolAndMap };function upcastType(e, t) {\n  return upcastTypeMap[e][t];\n}function sumOutType(e) {\n  return upcastType(e, \"int32\");\n}function getBroadcastDims(e, t) {\n  for (var n = e.length, r = [], a = 0; a < n; a++) {\n    var o = n - 1 - a,\n        i = e[o] || 1;(t[t.length - 1 - a] || 1) > 1 && 1 === i && r.unshift(o);\n  }return r;\n}function getReductionAxes(e, t) {\n  for (var n = [], r = 0; r < t.length; r++) {\n    var a = e[e.length - r - 1],\n        o = t.length - r - 1,\n        i = t[o];(null == a || 1 === a && i > 1) && n.unshift(o);\n  }return n;\n}function broadcastDimsAreOuter(e) {\n  for (var t = 0; t < e.length; t++) if (e[t] !== t) return !1;return !0;\n}function assertAndGetBroadcastShape(e, t) {\n  for (var n = [], r = \"Operands could not be broadcast together with shapes \" + e + \" and \" + t + \".\", a = Math.max(e.length, t.length), o = 0; o < a; o++) {\n    var i = e[e.length - o - 1] || 1,\n        s = t[t.length - o - 1] || 1;if (i > 1 && s > 1 && i !== s) throw Error(r);n.unshift(Math.max(i, s));\n  }return n;\n}var BinaryOps = function () {\n  function e() {}return e.add = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"add\"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.add(e, t);\n    }, { a: e, b: t }, function (r) {\n      return { a: function () {\n          var t = r,\n              a = getReductionAxes(e.shape, n);return a.length > 0 && (t = t.sum(a)), t.reshape(e.shape);\n        }, b: function () {\n          var e = r,\n              a = getReductionAxes(t.shape, n);return a.length > 0 && (e = e.sum(a)), e.reshape(t.shape);\n        } };\n    });\n  }, e.addStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in addStrict: \"), e.add(t);\n  }, e.sub = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"sub\"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.subtract(e, t);\n    }, { a: e, b: t }, function (r) {\n      return { a: function () {\n          var t = r,\n              a = getReductionAxes(e.shape, n);return a.length > 0 && (t = t.sum(a)), t.reshape(e.shape);\n        }, b: function () {\n          var e = r,\n              a = getReductionAxes(t.shape, n);return a.length > 0 && (e = e.sum(a)), e.neg().reshape(t.shape);\n        } };\n    });\n  }, e.subStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in subStrict: \"), e.sub(t);\n  }, e.pow = function (e, t) {\n    assertArgumentsAreTensors({ base: e, exp: t }, \"pow\");var n = assertAndGetBroadcastShape(e.shape, t.shape);e = e.cast(upcastType(e.dtype, t.dtype)), t = t.cast(upcastType(e.dtype, t.dtype));return ENV.engine.runKernel(function (n, r) {\n      return r(n.pow(e, t));\n    }, { base: e, exp: t }, function (r, a) {\n      var o = a[0];return { base: function () {\n          var a = r.mul(t.toFloat().mul(o.div(e))),\n              i = getReductionAxes(e.shape, n);return i.length > 0 && (a = a.sum(i)), a.reshape(e.shape);\n        }, exp: function () {\n          var a = r.mul(o.mul(e.log()).toFloat()),\n              i = getReductionAxes(t.shape, n);return i.length > 0 && (a = a.sum(i)), a.reshape(t.shape);\n        } };\n    });\n  }, e.powStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in powStrict: \"), e.pow(t);\n  }, e.mul = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"mul\"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.multiply(e, t);\n    }, { a: e, b: t }, function (r) {\n      return { a: function () {\n          var a = r.mul(t.toFloat()),\n              o = getReductionAxes(e.shape, n);return o.length > 0 ? a.sum(o).reshape(e.shape) : a;\n        }, b: function () {\n          var a = r.mul(e.toFloat()),\n              o = getReductionAxes(t.shape, n);return o.length > 0 ? a.sum(o).reshape(t.shape) : a;\n        } };\n    });\n  }, e.mulStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in multiplyStrict: \"), e.mul(t);\n  }, e.div = function (t, n) {\n    var r;if (assertArgumentsAreTensors({ a: t, b: n }, \"div\"), assertTypesMatch(t, n), \"int32\" === t.dtype && \"int32\" === n.dtype) return e.floorDiv(t, n);r = function (e) {\n      return e.realDivide(t, n);\n    };var a = assertAndGetBroadcastShape(t.shape, n.shape);return ENV.engine.runKernel(r, { a: t, b: n }, function (e) {\n      return { a: function () {\n          var r = e.div(n.toFloat()),\n              o = getReductionAxes(t.shape, a);return o.length > 0 ? r.sum(o).reshape(t.shape) : r;\n        }, b: function () {\n          var r = e.mul(t.toFloat()),\n              o = getReductionAxes(n.shape, a);o.length > 0 && (r = r.sum(o).reshape(n.shape));var i = n.square();return r.div(i.toFloat()).neg();\n        } };\n    });\n  }, e.floorDiv = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"floorDiv\"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.floorDiv(e, t);\n    }, { a: e, b: t }, function (r) {\n      return { a: function () {\n          var a = r.div(t.toFloat()),\n              o = getReductionAxes(e.shape, n);return o.length > 0 ? a.sum(o).reshape(e.shape) : a;\n        }, b: function () {\n          var a = r.mul(e.toFloat()),\n              o = getReductionAxes(t.shape, n);o.length > 0 && (a = a.sum(o).reshape(t.shape));var i = t.square();return a.div(i.toFloat()).neg();\n        } };\n    });\n  }, e.divStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in divideStrict: \"), e.div(t);\n  }, e.mod = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"mod\"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.mod(e, t);\n    }, { a: e, b: t }, function (r) {\n      return { a: function () {\n          var t = getReductionAxes(e.shape, n);return t.length > 0 ? r.sum(t).reshape(e.shape) : r;\n        }, b: function () {\n          var a = r.mul(e.div(t).floor().neg()),\n              o = getReductionAxes(t.shape, n);return o.length > 0 ? a.sum(o).reshape(t.shape) : a;\n        } };\n    });\n  }, e.modStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in modStrict: \"), e.mod(t);\n  }, e.minimum = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"minimum\"), assertTypesMatch(e, t), \"bool\" === e.dtype && (e = e.toInt()), \"bool\" === t.dtype && (t = t.toInt()), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.minimum(e, t);\n    }, { a: e, b: t }, function (n) {\n      return { a: function () {\n          return n.mul(e.lessEqual(t).toFloat());\n        }, b: function () {\n          return n.mul(e.greater(t).toFloat());\n        } };\n    });\n  }, e.minimumStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in minimumStrict: \"), e.minimum(t);\n  }, e.maximum = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"maximum\"), assertTypesMatch(e, t), \"bool\" === e.dtype && (e = e.toInt()), \"bool\" === t.dtype && (t = t.toInt()), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.maximum(e, t);\n    }, { a: e, b: t }, function (n) {\n      return { a: function () {\n          return n.mul(e.greaterEqual(t).toFloat());\n        }, b: function () {\n          return n.mul(e.less(t).toFloat());\n        } };\n    });\n  }, e.maximumStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in minimumStrict: \"), e.maximum(t);\n  }, e.squaredDifference = function (e, t) {\n    assertArgumentsAreTensors({ a: e, b: t }, \"squaredDifference\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {\n      return n.squaredDifference(e, t);\n    }, { a: e, b: t }, function (n) {\n      var r = scalar(2);return { a: function () {\n          return n.mul(e.sub(t).mul(r));\n        }, b: function () {\n          return n.mul(t.sub(e).mul(r));\n        } };\n    });\n  }, e.squaredDifferenceStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in squaredDifferenceStrict: \"), e.squaredDifference(t);\n  }, e.atan2 = function (t, n) {\n    assertArgumentsAreTensors({ a: t, b: n }, \"atan2\"), assertTypesMatch(t, n);var r = assertAndGetBroadcastShape(t.shape, n.shape);return ENV.engine.runKernel(function (e) {\n      return e.atan2(t, n);\n    }, { a: t, b: n }, function (a) {\n      return { a: function () {\n          var o = e.add(square(t), square(n)),\n              i = a.mul(n.div(o)),\n              s = getReductionAxes(t.shape, r);return s.length > 0 && (i = i.sum(s)), i.reshape(t.shape);\n        }, b: function () {\n          var o = e.add(square(t), square(n)),\n              i = neg(a.mul(t.div(o))),\n              s = getReductionAxes(n.shape, r);return s.length > 0 && (i = i.sum(s)), i.reshape(n.shape);\n        } };\n    });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"add\", null), __decorate([operation], e, \"addStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"sub\", null), __decorate([operation], e, \"subStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"pow\", null), __decorate([operation], e, \"powStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"mul\", null), __decorate([operation], e, \"mulStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"div\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"floorDiv\", null), __decorate([operation], e, \"divStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"mod\", null), __decorate([operation], e, \"modStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"minimum\", null), __decorate([operation], e, \"minimumStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"maximum\", null), __decorate([operation], e, \"maximumStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Arithmetic\" }), operation], e, \"squaredDifference\", null), __decorate([operation], e, \"squaredDifferenceStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"atan2\", null), e;\n}(),\n    CompareOps = function () {\n  function e() {}return e.notEqual = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"notEqual\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.notEqual(e, t);\n    }, { a: e, b: t });\n  }, e.notEqualStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in notEqualStrict: \"), e.notEqual(t);\n  }, e.less = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"less\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.less(e, t);\n    }, { a: e, b: t });\n  }, e.lessStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in lessStrict: \"), e.less(t);\n  }, e.equal = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"equal\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.equal(e, t);\n    }, { a: e, b: t });\n  }, e.equalStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in equalStrict: \"), e.equal(t);\n  }, e.lessEqual = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"lessEqual\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.lessEqual(e, t);\n    }, { a: e, b: t });\n  }, e.lessEqualStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in lessEqualStrict: \"), e.lessEqual(t);\n  }, e.greater = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"greater\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.greater(e, t);\n    }, { a: e, b: t });\n  }, e.greaterStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in greaterStrict: \"), e.greater(t);\n  }, e.greaterEqual = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"greaterEqual\"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.greaterEqual(e, t);\n    }, { a: e, b: t });\n  }, e.greaterEqualStrict = function (e, t) {\n    return assertShapesMatch(e.shape, t.shape, \"Error in greaterEqualStrict: \"), e.greaterEqual(t);\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"notEqual\", null), __decorate([operation], e, \"notEqualStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"less\", null), __decorate([operation], e, \"lessStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"equal\", null), __decorate([operation], e, \"equalStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"lessEqual\", null), __decorate([operation], e, \"lessEqualStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"greater\", null), __decorate([operation], e, \"greaterStrict\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"greaterEqual\", null), __decorate([operation], e, \"greaterEqualStrict\", null), e;\n}(),\n    LogicalOps = function () {\n  function e() {}return e.logicalNot = function (e) {\n    return assertArgumentsAreTensors({ x: e }, \"logicalNot\"), assert(\"bool\" === e.dtype, \"Error Array must be of type bool.\"), ENV.engine.runKernel(function (t) {\n      return t.logicalNot(e);\n    }, { x: e });\n  }, e.logicalAnd = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"logicalAnd\"), assert(\"bool\" === e.dtype && \"bool\" === t.dtype, \"Error Array must be of type bool.\"), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.logicalAnd(e, t);\n    }, { a: e, b: t });\n  }, e.logicalOr = function (e, t) {\n    return assertArgumentsAreTensors({ a: e, b: t }, \"logicalOr\"), assert(\"bool\" === e.dtype && \"bool\" === t.dtype, \"Error Array must be of type bool.\"), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {\n      return n.logicalOr(e, t);\n    }, { a: e, b: t });\n  }, e.logicalXor = function (t, n) {\n    return assertArgumentsAreTensors({ a: t, b: n }, \"logicalXor\"), assert(\"bool\" === t.dtype && \"bool\" === n.dtype, \"Error Array must be of type bool.\"), assertAndGetBroadcastShape(t.shape, n.shape), e.logicalOr(t, n).logicalAnd(e.logicalAnd(t, n).logicalNot());\n  }, e.where = function (e, t, n) {\n    assertArgumentsAreTensors({ condition: e, a: t, b: n }, \"where\"), assert(\"bool\" === e.dtype, \"Error Condition must be of type bool.\"), assertShapesMatch(t.shape, n.shape, \"Error in where: \"), 1 === e.rank ? assert(e.shape[0] === t.shape[0], \"The first dimension of `a` must match the size of `condition`.\") : assertShapesMatch(e.shape, n.shape, \"Error in where: \");var r = upcastType(t.dtype, n.dtype);return ENV.engine.runKernel(function (a) {\n      return a.where(e, t, n, r);\n    }, { condition: e, a: t, b: n }, function (r) {\n      return { condition: function () {\n          return zerosLike(e);\n        }, a: function () {\n          return r.mul(e.cast(t.dtype));\n        }, b: function () {\n          return r.mul(e.logicalNot().cast(n.dtype));\n        } };\n    });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"logicalNot\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"logicalAnd\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"logicalOr\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"logicalXor\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Logical\" }), operation], e, \"where\", null), e;\n}(),\n    SegmentOps = function () {\n  function e() {}return e.unsortedSegmentSum = function (e, t, n) {\n    assertArgumentsAreTensors({ x: e, segmentIds: t }, \"unsortedSegmentSum\"), assert(\"int32\" === t.dtype, \"segmentIds must be of dtype `int32`\"), assert(isInt(n), \"numSegments must be of dtype int\");return ENV.engine.runKernel(function (r) {\n      return r.unsortedSegmentSum(e, t, n);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return gatherDropNegatives(e, t);\n        } };\n    });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Segment\" }), operation], e, \"unsortedSegmentSum\", null), e;\n}();function gatherDropNegatives(e, t) {\n  for (var n = BinaryOps.maximum(t, ArrayOps.zerosLike(t)), r = ArrayOps.gather(e, n), a = CompareOps.greaterEqual(t, ArrayOps.scalar(0, \"int32\")), o = r.rank - a.rank, i = 0; i < o; ++i) a = ArrayOps.expandDims(a, i + 1);a = LogicalOps.logicalAnd(a, ArrayOps.ones(r.shape, \"bool\"));var s = ArrayOps.zerosLike(r);return LogicalOps.where(a, r, s);\n}var ArrayOps = function () {\n  function e() {}return e.tensor = function (e, t, n) {\n    void 0 === n && (n = \"float32\");var r = inferShape(e);return null != t && 1 !== r.length && assertShapesMatch(t, r, \"Error creating a new Tensor. Inferred shape (\" + r + \") does not match the provided shape (\" + t + \"). \"), isTypedArray(e) || Array.isArray(e) || (e = [e]), t = t || r, Tensor.make(t, { values: toTypedArray(e, n) }, n);\n  }, e.scalar = function (t, n) {\n    if (void 0 === n && (n = \"float32\"), isTypedArray(t) || Array.isArray(t)) throw new Error(\"Error creating a new Scalar: value must be a primitive (number|boolean)\");return e.tensor(t, [], n);\n  }, e.tensor1d = function (t, n) {\n    void 0 === n && (n = \"float32\");var r = inferShape(t);if (1 !== r.length) throw new Error(\"tensor1d() requires values to be a flat/TypedArray\");return e.tensor(t, r, n);\n  }, e.tensor2d = function (t, n, r) {\n    if (void 0 === r && (r = \"float32\"), null != n && 2 !== n.length) throw new Error(\"tensor2d() requires shape to have two numbers\");var a = inferShape(t);if (2 !== a.length && 1 !== a.length) throw new Error(\"tensor2d() requires values to be number[][] or flat/TypedArray\");if (1 === a.length && null == n) throw new Error(\"tensor2d() requires shape to be provided when `values` are a flat/TypedArray\");return n = n || a, e.tensor(t, n, r);\n  }, e.tensor3d = function (t, n, r) {\n    if (void 0 === r && (r = \"float32\"), null != n && 3 !== n.length) throw new Error(\"tensor3d() requires shape to have three numbers\");var a = inferShape(t);if (3 !== a.length && 1 !== a.length) throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");if (1 === a.length && null == n) throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");return n = n || a, e.tensor(t, n, r);\n  }, e.tensor4d = function (t, n, r) {\n    if (void 0 === r && (r = \"float32\"), null != n && 4 !== n.length) throw new Error(\"tensor4d() requires shape to have four numbers\");var a = inferShape(t);if (4 !== a.length && 1 !== a.length) throw new Error(\"tensor4d() requires values to be number[][][][] or flat/TypedArray\");if (1 === a.length && null == n) throw new Error(\"tensor4d() requires shape to be provided when `values` are a flat array\");return n = n || a, e.tensor(t, n, r);\n  }, e.tensor5d = function (t, n, r) {\n    if (void 0 === r && (r = \"float32\"), null != n && 5 !== n.length) throw new Error(\"tensor5d() requires shape to have five numbers\");var a = inferShape(t);if (5 !== a.length && 1 !== a.length) throw new Error(\"tensor5d() requires values to be            number[][][][][] or flat/TypedArray\");if (1 === a.length && null == n) throw new Error(\"tensor5d() requires shape to be provided when `values` are a flat array\");return n = n || a, e.tensor(t, n, r);\n  }, e.tensor6d = function (t, n, r) {\n    if (void 0 === r && (r = \"float32\"), null != n && 6 !== n.length) throw new Error(\"tensor6d() requires shape to have six numbers\");var a = inferShape(t);if (6 !== a.length && 1 !== a.length) throw new Error(\"tensor6d() requires values to be number[][][][] or flat/TypedArray\");if (1 === a.length && null == n) throw new Error(\"tensor6d() requires shape to be provided when `values` are a flat array\");return n = n || a, e.tensor(t, n, r);\n  }, e.ones = function (e, t) {\n    void 0 === t && (t = \"float32\");var n = makeOnesTypedArray(sizeFromShape(e), t);return Tensor.make(e, { values: n }, t);\n  }, e.zeros = function (e, t) {\n    void 0 === t && (t = \"float32\");var n = makeZerosTypedArray(sizeFromShape(e), t);return Tensor.make(e, { values: n }, t);\n  }, e.fill = function (e, t, n) {\n    void 0 === n && (n = \"float32\");var r = getTypedArrayFromDType(n, sizeFromShape(e));return r.fill(t), Tensor.make(e, { values: r }, n);\n  }, e.onesLike = function (t) {\n    return assertArgumentsAreTensors({ x: t }, \"onesLike\"), e.ones(t.shape, t.dtype);\n  }, e.zerosLike = function (t) {\n    return assertArgumentsAreTensors({ x: t }, \"zerosLike\"), e.zeros(t.shape, t.dtype);\n  }, e.clone = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"clone\");return ENV.engine.runKernel(function (t) {\n      return Tensor.make(e.shape, { dataId: e.dataId }, e.dtype);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return e.toFloat();\n        } };\n    });\n  }, e.eye = function (t, n, r, a) {\n    void 0 === a && (a = \"float32\"), null == n && (n = t);for (var o = e.buffer([t, n], a), i = t <= n ? t : n, s = 0; s < i; ++s) o.set(1, s, s);var u = o.toTensor().as2D(t, n);if (null == r) return u;if (1 === r.length) return e.tile(e.expandDims(u, 0), [r[0], 1, 1]);if (2 === r.length) return e.tile(e.expandDims(e.expandDims(u, 0), 0), [r[0], r[1], 1, 1]);throw new Error(\"eye() currently supports only 1D and 2D batchShapes, but received \" + r.length + \"D.\");\n  }, e.randomNormal = function (t, n, r, a, o) {\n    if (void 0 === n && (n = 0), void 0 === r && (r = 1), null != a && \"bool\" === a) throw new Error(\"Unsupported data type \" + a);for (var i = new MPRandGauss(n, r, a, !1, o), s = e.buffer(t, a), u = 0; u < s.values.length; u++) s.values[u] = i.nextValue();return s.toTensor();\n  }, e.truncatedNormal = function (t, n, r, a, o) {\n    if (void 0 === n && (n = 0), void 0 === r && (r = 1), null != a && \"bool\" === a) throw new Error(\"Unsupported data type \" + a);for (var i = new MPRandGauss(n, r, a, !0, o), s = e.buffer(t, a), u = 0; u < s.values.length; u++) s.values[u] = i.nextValue();return s.toTensor();\n  }, e.randomUniform = function (t, n, r, a) {\n    void 0 === n && (n = 0), void 0 === r && (r = 1), void 0 === a && (a = \"float32\");for (var o = e.buffer(t, a), i = 0; i < o.values.length; i++) o.values[i] = randUniform(n, r);return o.toTensor();\n  }, e.rand = function (e, t, n) {\n    var r = sizeFromShape(e),\n        a = null;if (null == n || \"float32\" === n) a = new Float32Array(r);else if (\"int32\" === n) a = new Int32Array(r);else {\n      if (\"bool\" !== n) throw new Error(\"Unknown data type \" + n);a = new Uint8Array(r);\n    }for (var o = 0; o < r; o++) a[o] = t();return Tensor.make(e, { values: a }, n);\n  }, e.multinomial = function (e, t, n, r) {\n    void 0 === r && (r = !1), assertArgumentsAreTensors({ logits: e }, \"multinomial\");var a = e.size,\n        o = e.rank;if (a < 2) throw new Error(\"Error in multinomial: you need at least 2 outcomes, but got \" + a + \".\");if (o > 2) throw new Error(\"Rank of probabilities must be 1 or 2, but is \" + o);n = n || Math.random();var i = 1 === o ? e.as2D(1, -1) : e,\n        s = ENV.engine.runKernel(function (e) {\n      return e.multinomial(i, r, t, n);\n    }, { logits2D: i });return 1 === o ? s.as1D() : s;\n  }, e.oneHot = function (e, t, n, r) {\n    if (void 0 === n && (n = 1), void 0 === r && (r = 0), assert(\"int32\" === e.dtype, \"Indices must be of dtype `int32`\"), t < 2) throw new Error(\"Error in oneHot: depth must be >=2, but it is \" + t);return ENV.engine.runKernel(function (a) {\n      return a.oneHot(e, t, n, r);\n    }, { indices: e });\n  }, e.fromPixels = function (e, t) {\n    if (void 0 === t && (t = 3), t > 4) throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");return ENV.engine.fromPixels(e, t);\n  }, e.toPixels = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r, a, o, i, s, u, l, c, d, p, h, f, g, m, v, y, x, b;return __generator(this, function (E) {\n        switch (E.label) {case 0:\n            if (assertArgumentsAreTensors({ img: e }, \"toPixels\"), 2 !== e.rank && 3 !== e.rank) throw new Error(\"toPixels only supports rank 2 or 3 tensors, got rank \" + e.rank + \".\");if (n = e.shape.slice(0, 2), r = n[0], a = n[1], (o = 2 === e.rank ? 1 : e.shape[2]) > 4 || 2 === o) throw new Error(\"toPixels only supports depth of size 1, 3 or 4 but got \" + o);return i = e.min(), s = e.max(), [4, i.data()];case 1:\n            return u = E.sent()[0], [4, s.data()];case 2:\n            if (l = E.sent()[0], i.dispose(), s.dispose(), \"float32\" === e.dtype) {\n              if (u < 0 || l > 1) throw new Error(\"Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [\" + u + \" - \" + l + \"].\");\n            } else {\n              if (\"int32\" !== e.dtype) throw new Error(\"Unsupported type for toPixels: \" + e.dtype + \". Please use float32 or int32 tensors.\");if (u < 0 || l > 255) throw new Error(\"Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [\" + u + \" - \" + l + \"].\");\n            }return [4, e.data()];case 3:\n            for (c = E.sent(), d = \"float32\" === e.dtype ? 255 : 1, p = new Uint8ClampedArray(a * r * 4), h = 0; h < r * a; ++h) f = void 0, g = void 0, m = void 0, v = void 0, 1 === o ? (f = c[h] * d, g = c[h] * d, m = c[h] * d, v = 255) : 3 === o ? (f = c[3 * h] * d, g = c[3 * h + 1] * d, m = c[3 * h + 2] * d, v = 255) : 4 === o && (f = c[4 * h] * d, g = c[4 * h + 1] * d, m = c[4 * h + 2] * d, v = c[4 * h + 3] * d), p[(y = 4 * h) + 0] = Math.round(f), p[y + 1] = Math.round(g), p[y + 2] = Math.round(m), p[y + 3] = Math.round(v);return null != t && (t.width = a, t.height = r, x = t.getContext(\"2d\"), b = new ImageData(p, a, r), x.putImageData(b, 0, 0)), [2, p];}\n      });\n    });\n  }, e.reshape = function (e, t) {\n    assertArgumentsAreTensors({ x: e }, \"reshape\"), t = inferFromImplicitShape(t, e.size), assert(e.size === sizeFromShape(t), \"new shape and old shape must have the same number of elements.\");return ENV.engine.runKernel(function (n) {\n      return n.reshape(e, t);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.reshape(e.shape);\n        } };\n    });\n  }, e.squeeze = function (t, n) {\n    return assertArgumentsAreTensors({ x: t }, \"squeeze\"), e.reshape(t, squeezeShape(t.shape, n).newShape);\n  }, e.cast = function (e, t) {\n    assertArgumentsAreTensors({ x: e }, \"cast\");return ENV.engine.runKernel(function (n) {\n      return n.cast(e, t);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return e.clone();\n        } };\n    });\n  }, e.tile = function (t, n) {\n    assertArgumentsAreTensors({ x: t }, \"tile\"), assert(t.rank === n.length, \"Error in transpose: rank of input \" + t.rank + \" must match length of reps \" + n + \".\");return ENV.engine.runKernel(function (e) {\n      return e.tile(t, n);\n    }, { x: t }, function (r) {\n      return { x: function () {\n          var a = e.zerosLike(t);if (1 === t.rank) for (var o = 0; o < n[0]; ++o) a = a.add(r.slice([o * t.shape[0]], [t.shape[0]]));else if (2 === t.rank) for (o = 0; o < n[0]; ++o) for (var i = 0; i < n[1]; ++i) a = a.add(r.slice([o * t.shape[0], i * t.shape[1]], [t.shape[0], t.shape[1]]));else if (3 === t.rank) for (o = 0; o < n[0]; ++o) for (i = 0; i < n[1]; ++i) for (var s = 0; s < n[2]; ++s) a = a.add(r.slice([o * t.shape[0], i * t.shape[1], s * t.shape[2]], [t.shape[0], t.shape[1], t.shape[2]]));else {\n            if (4 !== t.rank) throw new Error(\"Gradient for tile operation is not implemented for rank-\" + t.rank + \" tensors yet.\");for (o = 0; o < n[0]; ++o) for (i = 0; i < n[1]; ++i) for (s = 0; s < n[2]; ++s) for (var u = 0; u < n[3]; ++u) a = a.add(r.slice([o * t.shape[0], i * t.shape[1], s * t.shape[2], u * t.shape[3]], [t.shape[0], t.shape[1], t.shape[2], t.shape[3]]));\n          }return a;\n        } };\n    });\n  }, e.gather = function (e, t, n) {\n    void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e, indices: t }, \"gather\"), assert(\"int32\" === t.dtype, \"Indices must be of dtype `int32`\"), n = parseAxisParam(n, e.shape)[0];return ENV.engine.runKernel(function (r) {\n      return r.gather(e, t, n);\n    }, { x: e }, function (r) {\n      return { x: function () {\n          if (0 === n) return SegmentOps.unsortedSegmentSum(r, t, e.shape[n]);var a = e.shape,\n              o = t.size,\n              i = a.slice(0, n),\n              s = i.length,\n              u = a.slice(n, a.length).slice(1),\n              l = u.length,\n              c = arrayRange(0, s),\n              d = arrayRange(s + 1, s + 1 + l),\n              p = arrayConcat([i, [o], u]),\n              h = r.reshape(p),\n              f = t.reshape([o]),\n              g = arrayConcat([[s], c, d]),\n              m = h.transpose(g),\n              v = SegmentOps.unsortedSegmentSum(m, f, e.shape[n]),\n              y = getUndoAxesPermutation(g);return v = v.transpose(y);\n        } };\n    });\n  }, e.pad1d = function (t, n, r) {\n    return void 0 === r && (r = 0), assert(2 === n.length, \"Invalid number of paddings. Must be length of 2.\"), e.pad(t, [n], r);\n  }, e.pad2d = function (t, n, r) {\n    return void 0 === r && (r = 0), assert(2 === n.length && 2 === n[0].length && 2 === n[1].length, \"Invalid number of paddings. Must be length of 2 each.\"), e.pad(t, n, r);\n  }, e.pad3d = function (t, n, r) {\n    return void 0 === r && (r = 0), assert(3 === n.length && 2 === n[0].length && 2 === n[1].length && 2 === n[2].length, \"Invalid number of paddings. Must be length of 2 each.\"), e.pad(t, n, r);\n  }, e.pad4d = function (t, n, r) {\n    return void 0 === r && (r = 0), assert(4 === n.length && 2 === n[0].length && 2 === n[1].length && 2 === n[2].length && 2 === n[3].length, \"Invalid number of paddings. Must be length of 2 each.\"), e.pad(t, n, r);\n  }, e.pad = function (e, t, n) {\n    if (void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e }, \"pad\"), 0 === e.rank) throw new Error(\"pad(scalar) is not defined. Pass non-scalar to pad\");var r = t.map(function (e) {\n      return e[0];\n    });return ENV.engine.runKernel(function (r) {\n      return r.pad(e, t, n);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.slice(r, e.shape);\n        } };\n    });\n  }, e.stack = function (e, t) {\n    if (void 0 === t && (t = 0), assertArgumentsAreTensors({ tensors: e }, \"stack\"), assert(e.length >= 1, \"Pass at least one tensor to tf.stack\"), 1 === e.length) return e[0].expandDims(t);var n = e[0].rank,\n        r = e[0].shape,\n        a = e[0].dtype;assert(t <= n, \"Axis must be <= rank of the tensor\"), e.forEach(function (e) {\n      assertShapesMatch(r, e.shape, \"All tensors passed to stack must have matching shapes\");\n    }), e.forEach(function (e) {\n      assert(a === e.dtype, \"All tensors passed to stack must have matching dtypes\");\n    });var o = e.map(function (e) {\n      return e.expandDims(t);\n    });return ConcatOps.concat(o, t);\n  }, e.unstack = function (e, t) {\n    void 0 === t && (t = 0);for (var n, r = e.shape[t], a = Array(e.rank - 1).fill(0), o = 0, i = 0; i < e.rank; i++) i !== t && (a[o] = e.shape[i], o++);n = Array(r).fill(1);var s = Array(e.rank).fill(0),\n        u = e.shape.slice();return n.map(function (n) {\n      u[t] = n;var r = e.slice(s, u);return s[t] += n, r.reshape(a);\n    });\n  }, e.split = function (e, t, n) {\n    var r;void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e }, \"split\"), n = parseAxisParam(n, e.shape)[0], \"number\" == typeof t ? (assert(e.shape[n] % t == 0, \"Number of splits must evenly divide the axis.\"), r = Array(t).fill(e.shape[n] / t)) : (assert(e.shape[n] === t.reduce(function (e, t) {\n      return e + t;\n    }), \"The sum of sizes must match the size of the axis dimension.\"), r = t);var a = Array(e.rank).fill(0),\n        o = e.shape.slice();return r.map(function (t) {\n      o[n] = t;var r = e.slice(a, o);return a[n] += t, r;\n    });\n  }, e.cumsum = function (e, t, n, r) {\n    void 0 === t && (t = 0), void 0 === n && (n = !1), void 0 === r && (r = !1), assertArgumentsAreTensors({ x: e }, \"cumsum\");var a = getAxesPermutation([t |= 0], e.rank),\n        o = e;null != a && (o = e.transpose(a));var i = getInnerMostAxes(1, e.rank)[0],\n        s = ENV.engine.runKernel(function (e) {\n      return e.cumsum(o, i, n, r);\n    }, { permutedX: o }, function (e) {\n      return { permutedX: function () {\n          return e.cumsum(t, n, !r);\n        } };\n    });return null != a && (s = s.transpose(a)), s;\n  }, e.expandDims = function (t, n) {\n    void 0 === n && (n = 0), assertArgumentsAreTensors({ x: t }, \"expandDims\"), assert(n <= t.rank, \"Axis must be <= rank of the tensor\");var r = t.shape.slice();return r.splice(n, 0, 1), e.reshape(t, r);\n  }, e.linspace = function (t, n, r) {\n    if (0 === r) throw new Error(\"Cannot request zero samples\");var a = (n - t) / (r - 1),\n        o = makeZerosTypedArray(r, \"float32\");o[0] = t;for (var i = 1; i < o.length; i++) o[i] = o[i - 1] + a;return e.tensor1d(o, \"float32\");\n  }, e.range = function (t, n, r, a) {\n    if (void 0 === r && (r = 1), void 0 === a && (a = \"float32\"), 0 === r) throw new Error(\"Cannot have a step of zero\");if (t === n || t < n && r < 0 || n < t && r > 1) return e.zeros([0], a);var o = makeZerosTypedArray(Math.abs(Math.ceil((n - t) / r)), a);n < t && 1 === r && (r = -1), o[0] = t;for (var i = 1; i < o.length; i++) o[i] = o[i - 1] + r;return e.tensor1d(o, a);\n  }, e.buffer = function (e, t, n) {\n    return void 0 === t && (t = \"float32\"), new TensorBuffer(e, t, n);\n  }, e.print = function (e, t) {\n    void 0 === t && (t = !1), console.log(tensorToString(e, t));\n  }, __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"scalar\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor1d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor2d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor3d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor4d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor5d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"tensor6d\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"ones\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"zeros\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"fill\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"onesLike\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"zerosLike\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"clone\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"eye\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"randomNormal\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"truncatedNormal\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"randomUniform\", null), __decorate([operation], e, \"rand\", null), __decorate([operation], e, \"multinomial\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"oneHot\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" }), operation], e, \"fromPixels\", null), __decorate([doc({ heading: \"Visualization\" })], e, \"toPixels\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Transformations\" }), operation], e, \"reshape\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Transformations\" })], e, \"squeeze\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Transformations\" }), operation], e, \"cast\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"tile\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"gather\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Transformations\" }), operation], e, \"pad\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"stack\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"unstack\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"split\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Scan\" })], e, \"cumsum\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Transformations\" }), operation], e, \"expandDims\", null), __decorate([operation, doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"linspace\", null), __decorate([operation, doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"range\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"buffer\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e, \"print\", null), e;\n}();function makeZerosTypedArray(e, t) {\n  if (null == t || \"float32\" === t) return new Float32Array(e);if (\"int32\" === t) return new Int32Array(e);if (\"bool\" === t) return new Uint8Array(e);throw new Error(\"Unknown data type $ {dtype}\");\n}function makeOnesTypedArray(e, t) {\n  for (var n = makeZerosTypedArray(e, t), r = 0; r < n.length; r++) n[r] = 1;return n;\n}function toTypedArray(e, t) {\n  return noConversionNeeded(e, t) ? e : (Array.isArray(e) && (e = flatten(e)), copyTypedArray(e, t));\n}function noConversionNeeded(e, t) {\n  return e instanceof Float32Array && \"float32\" === t || e instanceof Int32Array && \"int32\" === t || e instanceof Uint8Array && \"bool\" === t;\n}function arrayRange(e, t) {\n  for (var n = [], r = e; r < t; ++r) n.push(r);return n;\n}function arrayConcat(e) {\n  for (var t = [], n = 0; n < e.length; ++n) for (var r = 0; r < e[n].length; ++r) t.push(e[n][r]);return t;\n}var BatchNormOps = function () {\n  function e() {}return e.batchNormalization2d = function (t, n, r, a, o, i) {\n    return void 0 === a && (a = .001), assert(2 === t.rank, \"Error in batchNormalization3D: x must be rank 3 but got rank \" + t.rank + \".\"), assert(2 === n.rank || 1 === n.rank, \"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \" + n.rank + \".\"), assert(2 === r.rank || 1 === r.rank, \"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \" + r.rank + \".\"), null != o && assert(2 === o.rank || 1 === o.rank, \"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \" + o.rank + \".\"), null != i && assert(2 === i.rank || 1 === i.rank, \"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \" + i.rank + \".\"), e.batchNormalization(t, n, r, a, o, i);\n  }, e.batchNormalization3d = function (t, n, r, a, o, i) {\n    return void 0 === a && (a = .001), assert(3 === t.rank, \"Error in batchNormalization3D: x must be rank 3 but got rank \" + t.rank + \".\"), assert(3 === n.rank || 1 === n.rank, \"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \" + n.rank + \".\"), assert(3 === r.rank || 1 === r.rank, \"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \" + r.rank + \".\"), null != o && assert(3 === o.rank || 1 === o.rank, \"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \" + o.rank + \".\"), null != i && assert(3 === i.rank || 1 === i.rank, \"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \" + i.rank + \".\"), e.batchNormalization(t, n, r, a, o, i);\n  }, e.batchNormalization4d = function (t, n, r, a, o, i) {\n    return void 0 === a && (a = .001), assert(4 === t.rank, \"Error in batchNormalization4D: x must be rank 4 but got rank \" + t.rank + \".\"), assert(4 === n.rank || 1 === n.rank, \"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \" + n.rank + \".\"), assert(4 === r.rank || 1 === r.rank, \"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \" + r.rank + \".\"), null != o && assert(4 === o.rank || 1 === o.rank, \"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \" + o.rank + \".\"), null != i && assert(4 === i.rank || 1 === i.rank, \"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \" + i.rank + \".\"), e.batchNormalization(t, n, r, a, o, i);\n  }, e.batchNormalization = function (e, t, n, r, a, o) {\n    var i;void 0 === r && (r = .001), assertArgumentsAreTensors({ x: e, mean: t, variance: n }, \"batchNormalization\"), null != a && assertArgumentsAreTensors({ scale: a }, \"batchNormalization\"), null != o && assertArgumentsAreTensors({ offset: o }, \"batchNormalization\"), assert(t.rank === n.rank, \"Batch normalization gradient requires mean and variance to have equal ranks.\"), assert(null == o || t.rank === o.rank, \"Batch normalization gradient requires mean and offset to have equal ranks.\"), assert(null == a || t.rank === a.rank, \"Batch normalization gradient requires mean and scale to have equal ranks.\"), i = 0 === e.rank || 1 === e.rank ? e.as4D(1, 1, 1, e.size) : 2 === e.rank ? e.as4D(1, 1, e.shape[0], e.shape[1]) : 3 === e.rank ? e.as4D(1, e.shape[0], e.shape[1], e.shape[2]) : e;return ENV.engine.runKernel(function (e) {\n      return e.batchNormalization(i, batchnormReshape4D(t), batchnormReshape4D(n), r, batchnormReshape4D(a), batchnormReshape4D(o));\n    }, { x: e, mean: t, variance: n, scale: a, offset: o }, function (o) {\n      var s = null == a ? ArrayOps.scalar(1) : a,\n          u = getReductionAxes(t.shape, i.shape),\n          l = [];if (1 === t.rank) {\n        for (var c = 0; c < i.shape.length - 1; ++c) l.push(i.shape[c]);l.push(1);\n      }var d = e.sub(t),\n          p = o.mul(s),\n          h = rsqrt(n.add(ArrayOps.scalar(r))),\n          f = h.mul(h).mul(h).mul(ArrayOps.scalar(-.5));return { x: function () {\n          return 1 === t.rank ? o.mul(ArrayOps.tile(h.as4D(1, 1, 1, t.shape[0]), l)).mul(s).reshape(e.shape) : o.mul(h).mul(s).reshape(e.shape);\n        }, mean: function () {\n          var e = h.mul(ArrayOps.scalar(-1)).mul(p);return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);\n        }, variance: function () {\n          var e = f.mul(d).mul(p);return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);\n        }, scale: function () {\n          var e = d.mul(h),\n              n = o.mul(e);return 1 === t.rank && (n = n.sum(u)), n.reshape(t.shape);\n        }, offset: function () {\n          var e = o;return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);\n        } };\n    }).reshape(e.shape);\n  }, __decorate([operation], e, \"batchNormalization2d\", null), __decorate([operation], e, \"batchNormalization3d\", null), __decorate([operation], e, \"batchNormalization4d\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Normalization\" })], e, \"batchNormalization\", null), e;\n}();function batchnormReshape4D(e) {\n  return null == e ? null : 0 === e.rank ? e.as1D() : 1 === e.rank ? e : 2 === e.rank ? e.as4D(1, 1, e.shape[0], e.shape[1]) : 3 === e.rank ? e.as4D(1, e.shape[0], e.shape[1], e.shape[2]) : e;\n}function computePool2DInfo(e, t, n, r, a, o) {\n  void 0 === o && (o = \"channelsLast\");var i,\n      s = parseTupleParam(t),\n      u = s[0],\n      l = s[1];if (\"channelsLast\" === o) i = [u, l, e[3], e[3]];else {\n    if (\"channelsFirst\" !== o) throw new Error(\"Unknown dataFormat \" + o);i = [u, l, e[1], e[1]];\n  }return computeConv2DInfo(e, i, n, 1, r, a, !1, o);\n}function computeConv2DInfo(e, t, n, r, a, o, i, s) {\n  void 0 === i && (i = !1), void 0 === s && (s = \"channelsLast\");var u = [-1, -1, -1, -1],\n      l = u[0],\n      c = u[1],\n      d = u[2],\n      p = u[3];if (\"channelsLast\" === s) l = e[0], c = e[1], d = e[2], p = e[3];else {\n    if (\"channelsFirst\" !== s) throw new Error(\"Unknown dataFormat \" + s);l = e[0], p = e[1], c = e[2], d = e[3];\n  }var h,\n      f = t[0],\n      g = t[1],\n      m = t[3],\n      v = parseTupleParam(n),\n      y = v[0],\n      x = v[1],\n      b = parseTupleParam(r),\n      E = b[0],\n      S = b[1],\n      A = getPadAndOutInfo(a, c, d, y, x, getEffectiveFilterSize(f, E), getEffectiveFilterSize(g, S), o),\n      T = A.padInfo,\n      w = A.outHeight,\n      _ = A.outWidth,\n      R = i ? m * p : m;return \"channelsFirst\" === s ? h = [l, R, w, _] : \"channelsLast\" === s && (h = [l, w, _, R]), { batchSize: l, dataFormat: s, inHeight: c, inWidth: d, inChannels: p, outHeight: w, outWidth: _, outChannels: R, padInfo: T, strideHeight: y, strideWidth: x, filterHeight: f, filterWidth: g, dilationHeight: E, dilationWidth: S, inShape: e, outShape: h, filterShape: t };\n}function computeOutputShape3D(e, t, n, r, a, o) {\n  null == a && (a = computeDefaultPad(e, t, r));var i = e[0],\n      s = e[1],\n      u = conditionalRound((i - t + 2 * a) / r + 1, o);assert(isInt(u), \"The output # of rows (\" + u + \") must be an integer. Change the stride and/or zero pad parameters\");var l = conditionalRound((s - t + 2 * a) / r + 1, o);return assert(isInt(l), \"The output # of columns (\" + l + \") must be an integer. Change the stride and/or zero pad parameters\"), [u, l, n];\n}function computeDefaultPad(e, t, n, r) {\n  void 0 === r && (r = 1);var a = getEffectiveFilterSize(t, r);return Math.floor((e[0] * (n - 1) - n + a) / 2);\n}function parseTupleParam(e) {\n  return \"number\" == typeof e ? [e, e] : e;\n}function getEffectiveFilterSize(e, t) {\n  return t <= 1 ? e : e + (e - 1) * (t - 1);\n}function getPadAndOutInfo(e, t, n, r, a, o, i, s) {\n  var u, l, c;if (\"number\" == typeof e) {\n    u = { top: e, bottom: e, left: e, right: e, type: 0 === e ? \"VALID\" : \"NUMBER\" };var d = computeOutputShape3D([t, n, 1], o, 1, r, e, s);l = d[0], c = d[1];\n  } else if (\"same\" === e) {\n    var p = ((l = Math.ceil(t / r)) - 1) * r + o - t,\n        h = ((c = Math.ceil(n / a)) - 1) * a + i - n,\n        f = Math.floor(p / 2),\n        g = p - f,\n        m = Math.floor(h / 2);u = { top: f, bottom: g, left: m, right: h - m, type: \"SAME\" };\n  } else {\n    if (\"valid\" !== e) throw Error(\"Unknown padding parameter: \" + e);u = { top: 0, bottom: 0, left: 0, right: 0, type: \"VALID\" }, l = Math.ceil((t - o + 1) / r), c = Math.ceil((n - i + 1) / a);\n  }return { padInfo: u, outHeight: l, outWidth: c };\n}function conditionalRound(e, t) {\n  if (!t) return e;switch (t) {case \"round\":\n      return Math.round(e);case \"ceil\":\n      return Math.ceil(e);case \"floor\":\n      return Math.floor(e);default:\n      throw new Error(\"Unknown roundingMode \" + t);}\n}var ConvOps = function () {\n  function e() {}return e.conv1d = function (t, n, r, a, o, i, s) {\n    void 0 === o && (o = \"NWC\"), void 0 === i && (i = 1), assertArgumentsAreTensors({ x: t, filter: n }, \"conv1d\");var u = t,\n        l = !1;2 === t.rank && (l = !0, u = t.as3D(1, t.shape[0], t.shape[1])), assert(3 === u.rank, \"Error in conv1d: input must be rank 3, but got rank \" + u.rank + \".\"), assert(3 === n.rank, \"Error in conv1d: filter must be rank 3, but got rank \" + n.rank + \".\"), null != s && assert(isInt(a), \"Error in conv1d: pad must be an integer when using, dimRoundingMode \" + s + \" but got pad \" + a + \".\"), assert(u.shape[2] === n.shape[1], \"Error in conv1d: depth of input (\" + u.shape[2] + \") must match input depth for filter \" + n.shape[1] + \".\"), assert(eitherStridesOrDilationsAreOne(r, i), \"Error in conv1D: Either stride or dilation must be 1. Got stride \" + r + \" and dilation '\" + i + \"'\"), assert(\"NWC\" === o, \"Error in conv1d: got dataFormat of \" + o + \" but only NWC is currently supported.\");var c = n.as4D(1, n.shape[0], n.shape[1], n.shape[2]),\n        d = u.as4D(u.shape[0], 1, u.shape[1], u.shape[2]),\n        p = [1, r],\n        h = [1, i],\n        f = e.conv2d(d, c, p, a, \"NHWC\", h, s);return l ? f.as2D(f.shape[2], f.shape[3]) : f.as3D(f.shape[0], f.shape[2], f.shape[3]);\n  }, e.conv2d = function (t, n, r, a, o, i, s) {\n    void 0 === o && (o = \"NHWC\"), void 0 === i && (i = [1, 1]), assertArgumentsAreTensors({ x: t, filter: n }, \"conv2d\");var u = t,\n        l = !1;3 === t.rank && (l = !0, u = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === u.rank, \"Error in conv2d: input must be rank 4, but got rank \" + u.rank + \".\"), assert(4 === n.rank, \"Error in conv2d: filter must be rank 4, but got rank \" + n.rank + \".\"), null != s && assert(isInt(a), \"Error in conv2d: pad must be an integer when using, dimRoundingMode \" + s + \" but got pad \" + a + \".\"), assert(u.shape[3] === n.shape[2], \"Error in conv2d: depth of input (\" + u.shape[3] + \") must match input depth for filter \" + n.shape[2] + \".\"), assert(eitherStridesOrDilationsAreOne(r, i), \"Error in conv2D: Either strides or dilations must be 1. Got strides \" + r + \" and dilations '\" + i + \"'\"), assert(\"NHWC\" === o, \"Error in conv2d: got dataFormat of \" + o + \" but only NHWC is currently supported.\");var c = computeConv2DInfo(u.shape, n.shape, r, i, a, s),\n        d = ENV.engine.runKernel(function (e) {\n      return e.conv2d(u, n, c);\n    }, { x: u, filter: n }, function (t) {\n      return assert(tupleValuesAreOne(i), \"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\" + i + \"'\"), { x: function () {\n          return e.conv2dDerInput(u.shape, t, n, r, a);\n        }, filter: function () {\n          return e.conv2dDerFilter(u, t, n.shape, r, a);\n        } };\n    });return l ? d.as3D(d.shape[1], d.shape[2], d.shape[3]) : d;\n  }, e.conv2dDerInput = function (e, t, n, r, a, o) {\n    assertArgumentsAreTensors({ dy: t, filter: n }, \"conv2dDerInput\"), assert(e.length === t.rank, \"Length of inShape (\" + e.length + \") and rank of dy (\" + t.rank + \") must match\");var i = e,\n        s = t,\n        u = !1;3 === t.rank && (u = !0, s = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]), i = [1, e[0], e[1], e[2]]);var l = i[3],\n        c = s.shape[3];assert(4 === i.length, \"Error in conv2dDerInput: inShape must be length 4, but got length \" + i.length + \".\"), assert(4 === s.rank, \"Error in conv2dDerInput: dy must be rank 4, but got rank \" + s.rank), assert(4 === n.rank, \"Error in conv2dDerInput: filter must be rank 4, but got rank \" + n.rank), assert(l === n.shape[2], \"Error in conv2dDerInput: depth of input (\" + l + \") must match input depth for filter \" + n.shape[2] + \".\"), assert(c === n.shape[3], \"Error in conv2dDerInput: depth of output (\" + c + \") must match output depth for filter \" + n.shape[3] + \".\"), null != o && assert(isInt(a), \"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \" + o + \" but got pad \" + a + \".\");var d = computeConv2DInfo(i, n.shape, r, 1, a, o),\n        p = ENV.engine.runKernel(function (e) {\n      return e.conv2dDerInput(s, n, d);\n    }, { dy4D: s });return u ? p.as3D(p.shape[1], p.shape[2], p.shape[3]) : p;\n  }, e.conv2dDerFilter = function (e, t, n, r, a, o) {\n    assertArgumentsAreTensors({ x: e, dy: t }, \"conv2dDerFilter\");var i = e;3 === e.rank && (i = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var s = t;3 === s.rank && (s = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, \"Error in conv2dDerFilter: input must be rank 4, but got shape \" + i.shape + \".\"), assert(4 === s.rank, \"Error in conv2dDerFilter: dy must be rank 4, but got shape \" + s.shape + \".\"), assert(4 === n.length, \"Error in conv2dDerFilter: filterShape must be length 4, but got \" + n + \".\"), assert(i.shape[3] === n[2], \"Error in conv2dDerFilter: depth of input \" + i.shape[3] + \") must match input depth in filter (\" + n[2] + \".\"), assert(s.shape[3] === n[3], \"Error in conv2dDerFilter: depth of dy (\" + s.shape[3] + \") must match output depth for filter (\" + n[3] + \").\"), null != o && assert(isInt(a), \"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \" + o + \" but got pad \" + a + \".\");var u = computeConv2DInfo(i.shape, n, r, 1, a, o);return ENV.engine.runKernel(function (e) {\n      return e.conv2dDerFilter(i, s, u);\n    }, { x4D: i, dy4D: s });\n  }, e.conv2dTranspose = function (t, n, r, a, o, i) {\n    return assertArgumentsAreTensors({ x: t, filter: n }, \"conv2dTranspose\"), e.conv2dDerInput(r, t, n, a, o, i);\n  }, e.depthwiseConv2d = function (e, t, n, r, a, o, i) {\n    void 0 === a && (a = \"NHWC\"), void 0 === o && (o = [1, 1]), assertArgumentsAreTensors({ x: e, filter: t }, \"depthwiseConv2d\");var s = e,\n        u = !1;3 === e.rank && (u = !0, s = e.as4D(1, e.shape[0], e.shape[1], e.shape[2])), assert(4 === s.rank, \"Error in depthwiseConv2d: input must be rank 4, but got rank \" + s.rank + \".\"), assert(4 === t.rank, \"Error in depthwiseConv2d: filter must be rank 4, but got rank \" + t.rank + \".\"), assert(s.shape[3] === t.shape[2], \"Error in depthwiseConv2d: number of input channels (\" + s.shape[3] + \") must match the inChannels dimension in filter \" + t.shape[2] + \".\"), null == o && (o = [1, 1]), assert(eitherStridesOrDilationsAreOne(n, o), \"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \" + n + \" and dilations '\" + o + \"'\"), null != i && assert(isInt(r), \"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \" + i + \" but got pad \" + r + \".\");var l = computeConv2DInfo(s.shape, t.shape, n, o, r, i, !0),\n        c = ENV.engine.runKernel(function (e) {\n      return e.depthwiseConv2D(s, t, l);\n    }, { x: s, filter: t }, function (e) {\n      return assert(tupleValuesAreOne(o), \"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\" + o + \"'\"), { x: function () {\n          return depthwiseConv2dDerInput(s.shape, e, t, l);\n        }, filter: function () {\n          return depthwiseConv2dDerFilter(s, e, t.shape, l);\n        } };\n    });return u ? c.as3D(c.shape[1], c.shape[2], c.shape[3]) : c;\n  }, e.separableConv2d = function (t, n, r, a, o, i, s) {\n    void 0 === i && (i = [1, 1]), void 0 === s && (s = \"NHWC\"), assertArgumentsAreTensors({ x: t, depthwiseFilter: n, pointwiseFilter: r }, \"separableConv2d\");var u = t,\n        l = !1;if (3 === t.rank && (l = !0, u = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), \"NCHW\" === s) throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4 === u.rank, \"Error in separableConv2d: input must be rank 4, but got rank \" + u.rank + \".\"), assert(4 === n.rank, \"Error in separableConv2d: depthwise filter must be rank 4, but got rank \" + n.rank + \".\"), assert(4 === r.rank, \"Error in separableConv2d: pointwise filter must be rank 4, but got rank \" + n.rank + \".\"), assert(1 === r.shape[0], \"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \" + r.shape[0] + \".\"), assert(1 === r.shape[1], \"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \" + r.shape[1] + \".\");var c = n.shape[2],\n        d = n.shape[3];assert(r.shape[2] === c * d, \"Error in separableConv2d: the third dimension of pointwise filter must be \" + c * d + \", but got \" + r.shape[2] + \".\");var p = e.depthwiseConv2d(u, n, a, o, s, i),\n        h = e.conv2d(p, r, 1, \"valid\", s);return l ? h.as3D(h.shape[1], h.shape[2], h.shape[3]) : h;\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"conv1d\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"conv2d\", null), __decorate([operation], e, \"conv2dDerInput\", null), __decorate([operation], e, \"conv2dDerFilter\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"conv2dTranspose\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"depthwiseConv2d\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"separableConv2d\", null), e;\n}();function parseTupleParam$1(e) {\n  return \"number\" == typeof e ? [e, e] : e;\n}function tupleValuesAreOne(e) {\n  var t = parseTupleParam$1(e),\n      n = t[0],\n      r = t[1];return 1 === n && 1 === r;\n}function eitherStridesOrDilationsAreOne(e, t) {\n  return tupleValuesAreOne(e) || tupleValuesAreOne(t);\n}function depthwiseConv2dDerInput(e, t, n, r) {\n  var a = t,\n      o = !1;3 === t.rank && (o = !0, a = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]));var i = ENV.engine.runKernel(function (e) {\n    return e.depthwiseConv2DDerInput(a, n, r);\n  }, { dy4D: a });return o ? i.as3D(i.shape[1], i.shape[2], i.shape[3]) : i;\n}function depthwiseConv2dDerFilter(e, t, n, r) {\n  var a = e;3 === e.rank && (a = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t;return 3 === o.rank && (o = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), ENV.engine.runKernel(function (e) {\n    return e.depthwiseConv2DDerFilter(a, o, r);\n  }, { x4D: a, dy4D: o });\n}var Reduction,\n    ImageOps = function () {\n  function e() {}return e.resizeBilinear = function (e, t, n) {\n    void 0 === n && (n = !1), assertArgumentsAreTensors({ images: e }, \"resizeBilinear\"), assert(3 === e.rank || 4 === e.rank, \"Error in resizeBilinear: x must be rank 3 or 4, but got rank \" + e.rank + \".\"), assert(2 === t.length, \"Error in resizeBilinear: new shape must 2D, but got shape \" + t + \".\");var r = e,\n        a = !1;3 === e.rank && (a = !0, r = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t[0],\n        i = t[1],\n        s = ENV.engine.runKernel(function (e, t) {\n      return e.resizeBilinear(r, o, i, n);\n    }, { batchImages: r }, function (e, t) {\n      return { batchImages: function () {\n          return ENV.engine.runKernel(function (t) {\n            return t.resizeBilinearBackprop(e, r, n);\n          }, {});\n        } };\n    });return a ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;\n  }, e.resizeNearestNeighbor = function (e, t, n) {\n    void 0 === n && (n = !1), assertArgumentsAreTensors({ images: e }, \"resizeNearestNeighbor\"), assert(3 === e.rank || 4 === e.rank, \"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \" + e.rank + \".\"), assert(2 === t.length, \"Error in resizeNearestNeighbor: new shape must 2D, but got shape \" + t + \".\"), assert(\"float32\" === e.dtype || \"int32\" === e.dtype, \"`images` must have `int32` or `float32` as dtype\");var r = e,\n        a = !1;3 === e.rank && (a = !0, r = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t[0],\n        i = t[1],\n        s = ENV.engine.runKernel(function (e) {\n      return e.resizeNearestNeighbor(r, o, i, n);\n    }, { batchImages: r });return a ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Images\", namespace: \"image\" }), operation], e, \"resizeBilinear\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Images\", namespace: \"image\" }), operation], e, \"resizeNearestNeighbor\", null), e;\n}(),\n    Tracking = function () {\n  function e() {}return e.tidy = function (e, t, n) {\n    void 0 === n && (n = !1);var r = null;if (null == t) {\n      if (\"function\" != typeof e) throw new Error(\"Please provide a function to tidy()\");t = e;\n    } else {\n      if (\"string\" != typeof e && !(e instanceof String)) throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if (\"function\" != typeof t) throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");r = e;\n    }ENV.engine.startScope(r, n);var a = t();return a instanceof Promise && console.error(\"Cannot return a Promise inside of tidy.\"), ENV.engine.endScope(a, n), a;\n  }, e.dispose = function (e) {\n    getTensorsInContainer(e).forEach(function (e) {\n      return e.dispose();\n    });\n  }, e.keep = function (e) {\n    return ENV.engine.keep(e);\n  }, e.time = function (e) {\n    return ENV.engine.time(e);\n  }, __decorate([doc({ heading: \"Performance\", subheading: \"Memory\" })], e, \"tidy\", null), __decorate([doc({ heading: \"Performance\", subheading: \"Memory\" })], e, \"dispose\", null), __decorate([doc({ heading: \"Performance\", subheading: \"Memory\" })], e, \"keep\", null), __decorate([doc({ heading: \"Performance\", subheading: \"Timing\" })], e, \"time\", null), e;\n}(),\n    LinalgOps = function () {\n  function e() {}return e.gramSchmidt = function (e) {\n    var t;if (Array.isArray(e)) {\n      t = !1, assert(null != e && e.length > 0, \"Gram-Schmidt process: input must not be null, undefined, or empty\");for (var n = e[0].shape[0], r = 1; r < e.length; ++r) assert(e[r].shape[0] === n, \"Gram-Schmidt: Non-unique lengths found in the input vectors: (\" + e[r].shape[0] + \" vs. \" + n + \")\");\n    } else t = !0, e = split(e, e.shape[0], 0).map(function (e) {\n      return squeeze(e, [0]);\n    });assert(e.length <= e[0].shape[0], \"Gram-Schmidt: Number of vectors (\" + e.length + \") exceeds number of dimensions (\" + e[0].shape[0] + \").\");var a = [],\n        o = e,\n        i = function (e) {\n      a.push(Tracking.tidy(function () {\n        var t = o[e];if (e > 0) for (var n = 0; n < e; ++n) {\n          var r = sum(a[n].mulStrict(t)).mul(a[n]);t = t.sub(r);\n        }return t.div(norm(t, \"euclidean\"));\n      }));\n    };for (r = 0; r < e.length; ++r) i(r);return t ? stack(a, 0) : a;\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Linear Algebra\" }), operation], e, \"gramSchmidt\", null), e;\n}();!function (e) {\n  e[e.NONE = 0] = \"NONE\", e[e.MEAN = 1] = \"MEAN\", e[e.SUM = 2] = \"SUM\", e[e.SUM_BY_NONZERO_WEIGHTS = 3] = \"SUM_BY_NONZERO_WEIGHTS\";\n}(Reduction || (exports.Reduction = Reduction = {}));var LossOps = function () {\n  function e() {}return e.computeWeightedLoss = function (e, t, n) {\n    void 0 === n && (n = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ losses: e }, \"computeWeightedLoss\"), null != t && assertArgumentsAreTensors({ weights: t }, \"computeWeightedLoss\");var r = null == t ? e : e.mul(t);if (n === Reduction.NONE) return r;if (n === Reduction.SUM) return r.sum();if (n === Reduction.MEAN) return null == t ? r.mean() : r.sum().div(t.sum());if (n === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n      if (null == t) return r.sum().div(scalar(e.size));var a = t.notEqual(scalar(0)).sum().toFloat();return r.sum().div(a);\n    }throw Error(\"Unknown reduction: \" + n);\n  }, e.absoluteDifference = function (t, n, r, a) {\n    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"absoluteDifference\"), null != r && assertArgumentsAreTensors({ weights: r }, \"absoluteDifference\"), assertShapesMatch(t.shape, n.shape, \"Error in absoluteDifference: \");var o = t.sub(n).abs();return e.computeWeightedLoss(o, r, a);\n  }, e.meanSquaredError = function (t, n, r, a) {\n    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"meanSquaredError\"), null != r && assertArgumentsAreTensors({ weights: r }, \"meanSquaredError\"), assertShapesMatch(t.shape, n.shape, \"Error in meanSquaredError: \");var o = t.squaredDifference(n);return e.computeWeightedLoss(o, r, a);\n  }, e.cosineDistance = function (t, n, r, a, o) {\n    void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"cosineDistance\"), null != a && assertArgumentsAreTensors({ weights: a }, \"cosineDistance\"), assertShapesMatch(t.shape, n.shape, \"Error in cosineDistance: \");var i = scalar(1).sub(t.mul(n).sum(r, !0));return e.computeWeightedLoss(i, a, o);\n  }, e.hingeLoss = function (t, n, r, a) {\n    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"hingeLoss\"), null != r && assertArgumentsAreTensors({ weights: r }, \"hingeLoss\"), assertShapesMatch(t.shape, n.shape, \"Error in hingeLoss: \");var o = scalar(1);t = scalar(2).mul(t).sub(o);var i = o.sub(t.mul(n)).relu();return e.computeWeightedLoss(i, r, a);\n  }, e.logLoss = function (t, n, r, a, o) {\n    void 0 === a && (a = 1e-7), void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"logLoss\"), null != r && assertArgumentsAreTensors({ weights: r }, \"logLoss\"), assertShapesMatch(t.shape, n.shape, \"Error in logLoss: \");var i = scalar(1),\n        s = scalar(a),\n        u = t.mul(n.add(s).log()).neg().sub(i.sub(t).mul(i.sub(n).add(s).log()));return e.computeWeightedLoss(u, r, o);\n  }, e.huberLoss = function (t, n, r, a, o) {\n    void 0 === a && (a = 1), void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, \"huberLoss\"), null != r && assertArgumentsAreTensors({ weights: r }, \"huberLoss\"), assertShapesMatch(t.shape, n.shape, \"Error in huberLoss: \");var i = scalar(a),\n        s = n.sub(t).abs(),\n        u = minimum(s, i),\n        l = s.sub(u),\n        c = scalar(.5).mul(u.square()).add(i.mul(l));return e.computeWeightedLoss(c, r, o);\n  }, __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"computeWeightedLoss\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"absoluteDifference\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"meanSquaredError\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"cosineDistance\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"hingeLoss\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"logLoss\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"huberLoss\", null), e;\n}(),\n    LRNOps = function () {\n  function e() {}return e.localResponseNormalization = function (e, t, n, r, a) {\n    void 0 === t && (t = 5), void 0 === n && (n = 1), void 0 === r && (r = 1), void 0 === a && (a = .5), assertArgumentsAreTensors({ x: e }, \"localResponseNormalization\"), assert(4 === e.rank || 3 === e.rank, \"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \" + e.rank + \".\"), assert(isInt(t), \"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \" + t + \".\");var o = e,\n        i = !1;3 === e.rank && (i = !0, o = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var s = ENV.engine.runKernel(function (e) {\n      return e.localResponseNormalization4D(o, t, n, r, a);\n    }, { x4D: o });return i ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Normalization\" }), operation], e, \"localResponseNormalization\", null), e;\n}(),\n    LSTMOps = function () {\n  function e() {}return e.multiRNNCell = function (e, t, n, r) {\n    assertArgumentsAreTensors({ data: t, c: n, h: r }, \"multiRNNCell\");for (var a = t, o = [], i = 0; i < e.length; i++) {\n      var s = e[i](a, n[i], r[i]);o.push(s[0]), o.push(s[1]), a = s[1];\n    }var u = [],\n        l = [];for (i = 0; i < o.length; i += 2) u.push(o[i]), l.push(o[i + 1]);return [u, l];\n  }, e.basicLSTMCell = function (e, t, n, r, a, o) {\n    assertArgumentsAreTensors({ forgetBias: e, lstmKernel: t, lstmBias: n, data: r, c: a, h: o }, \"basicLSTMCell\");var i = r.concat(o, 1).matMul(t).add(n),\n        s = i.shape[0],\n        u = i.shape[1] / 4,\n        l = [s, u],\n        c = i.slice([0, 0], l),\n        d = i.slice([0, u], l),\n        p = i.slice([0, 2 * u], l),\n        h = i.slice([0, 3 * u], l),\n        f = c.sigmoid().mulStrict(d.tanh()).addStrict(a.mulStrict(e.add(p).sigmoid()));return [f, f.tanh().mulStrict(h.sigmoid())];\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"RNN\" }), operation], e, \"multiRNNCell\", null), __decorate([doc({ heading: \"Operations\", subheading: \"RNN\" }), operation], e, \"basicLSTMCell\", null), e;\n}(),\n    MatmulOps = function () {\n  function e() {}return e.matMul = function (e, t, n, r) {\n    void 0 === n && (n = !1), void 0 === r && (r = !1), assertArgumentsAreTensors({ a: e, b: t }, \"matMul\");var a = n ? e.shape[0] : e.shape[1],\n        o = r ? t.shape[1] : t.shape[0];assert(2 === e.rank && 2 === t.rank, \"Error in matMul: inputs must be rank 2, got ranks \" + e.rank + \" and \" + t.rank + \".\"), assert(a === o, \"Error in matMul: inner shapes (\" + a + \") and (\" + o + \") of Tensors with shapes \" + e.shape + \" and \" + t.shape + \" and transposeA=\" + n + \" and transposeB=\" + r + \" must match.\");return ENV.engine.runKernel(function (a) {\n      return a.matMul(e, t, n, r);\n    }, { a: e, b: t }, function (a) {\n      return n || r ? !n && r ? { a: function () {\n          return a.matMul(t.toFloat(), !1, !1);\n        }, b: function () {\n          return a.matMul(e.toFloat(), !0, !1);\n        } } : n && !r ? { a: function () {\n          return t.toFloat().matMul(a, !1, !0);\n        }, b: function () {\n          return e.toFloat().matMul(a, !1, !1);\n        } } : { a: function () {\n          return t.toFloat().matMul(a, !0, !0);\n        }, b: function () {\n          return a.matMul(e.toFloat(), !0, !0);\n        } } : { a: function () {\n          return a.matMul(t.toFloat(), !1, !0);\n        }, b: function () {\n          return e.toFloat().matMul(a, !0, !1);\n        } };\n    });\n  }, e.vectorTimesMatrix = function (e, t) {\n    return assert(1 === e.rank, \"Error in vectorTimesMatrix: first input must be rank 1, but got rank \" + e.rank + \".\"), assert(2 === t.rank, \"Error in vectorTimesMatrix: second input must be rank 2, but got rank \" + t.rank + \".\"), assert(e.size === t.shape[0], \"Error in vectorTimesMatrix: size of vector (\" + e.size + \") must match first dimension of matrix (\" + t.shape[0] + \")\"), e.as2D(1, -1).matMul(t).as1D();\n  }, e.matrixTimesVector = function (e, t) {\n    return assert(1 === t.rank, \"Error in matrixTimesVector: second input must rank 1, but got rank \" + t.rank + \".\"), assert(2 === e.rank, \"Error in matrixTimesVector: first input must be a rank 2, but got rank \" + e.rank + \".\"), assert(t.size === e.shape[1], \"Error in matrixTimesVector: size of first rank 1 input \" + t.size + \" must match inner dimension of second rank 2 input, but got shape \" + e.shape + \".\"), e.matMul(t.as2D(-1, 1)).as1D();\n  }, e.dotProduct = function (e, t) {\n    return assert(1 === e.rank && 1 === t.rank, \"Error in dotProduct: inputs must be rank 1, but got ranks \" + e.rank + \" and \" + t.rank + \".\"), assert(e.size === t.size, \"Error in dotProduct: size of inputs (\" + e.size + \") and (\" + t.size + \") must match.\"), e.as2D(1, -1).matMul(t.as2D(-1, 1)).asScalar();\n  }, e.outerProduct = function (e, t) {\n    return assert(1 === e.rank && 1 === t.rank, \"Error in outerProduct: inputs must be rank 1, but got ranks \" + e.rank + \" and \" + t.rank + \".\"), e.as2D(-1, 1).matMul(t.as2D(1, -1));\n  }, e.dot = function (e, t) {\n    assert(!(1 !== e.rank && 2 !== e.rank || 1 !== t.rank && 2 !== t.rank), \"Error in dot: inputs must all be rank 1 or 2, but got ranks \" + e.rank + \" and \" + t.rank + \".\");var n = 1 === e.rank ? e.size : e.shape[1],\n        r = 1 === t.rank ? t.size : t.shape[0];return assert(n === r, \"Error in dot: inner dimensions of inputs must match, but got \" + n + \" and \" + r + \".\"), 1 === e.rank && 1 === t.rank ? e.as2D(1, -1).matMul(t.as2D(-1, 1)).asScalar() : 1 === e.rank && 2 === t.rank ? e.as2D(1, -1).matMul(t.as2D(t.shape[0], t.shape[1])).as1D() : 2 === e.rank && 1 === t.rank ? e.matMul(t.as2D(-1, 1)).as1D() : e.matMul(t.as2D(t.shape[0], t.shape[1]));\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Matrices\" }), operation], e, \"matMul\", null), __decorate([operation], e, \"vectorTimesMatrix\", null), __decorate([operation], e, \"matrixTimesVector\", null), __decorate([operation], e, \"dotProduct\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Matrices\" }), operation], e, \"outerProduct\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Matrices\" }), operation], e, \"dot\", null), e;\n}(),\n    MovingAverageOps = function () {\n  function e() {}return e.movingAverage = function (e, t, n, r, a) {\n    void 0 === a && (a = !0), assertArgumentsAreTensors({ v: e, x: t }, \"movingAverage\"), assertTypesMatch(e, t), assert(arraysEqual(e.shape, t.shape), \"Shape mismatch in v and x\");var o = ArrayOps.scalar(1);n = \"number\" == typeof n ? ArrayOps.scalar(n) : n;var i = o.sub(n),\n        s = t.sub(e).mul(i);return a && (assert(null != r, \"When using zeroDebias: true, step is required.\"), r = \"number\" == typeof r ? ArrayOps.scalar(r) : r, s = s.div(o.sub(BinaryOps.pow(n, r)))), e.add(s);\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Moving Average\" }), operation], e, \"movingAverage\", null), e;\n}(),\n    NormOps = function () {\n  function e() {}return e.norm = function (e, t, n, r) {\n    void 0 === t && (t = \"euclidean\"), void 0 === n && (n = null), void 0 === r && (r = !1), assertArgumentsAreTensors({ x: e }, \"norm\");var a = normImpl(e, t, n),\n        o = a.shape;if (r) {\n      var i = parseAxisParam(n, e.shape);o = expandShapeToKeepDim(a.shape, i);\n    }return a.reshape(o);\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Matrices\" }), operation], e, \"norm\", null), e;\n}();function normImpl(e, t, n) {\n  if (void 0 === n && (n = null), 0 === e.rank) return e.abs();if (1 !== e.rank && null === n) return normImpl(e.reshape([-1]), t, n);if (1 === e.rank || \"number\" == typeof n || n instanceof Array && 1 === n.length) {\n    if (1 === t) return e.abs().sum(n);if (t === 1 / 0) return e.abs().max(n);if (t === -1 / 0) return e.abs().min(n);if (\"euclidean\" === t || 2 === t) return e.abs().pow(scalar(2, \"int32\")).sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \" + t);\n  }if (n instanceof Array && 2 === n.length) {\n    if (1 === t) return e.abs().sum(n[0]).max(n[1] - 1);if (t === 1 / 0) return e.abs().sum(n[1]).max(n[0]);if (t === -1 / 0) return e.abs().sum(n[1]).min(n[0]);if (\"fro\" === t || \"euclidean\" === t) return e.square().sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \" + t);\n  }throw new Error(\"Error in norm: invalid axis: \" + n);\n}var PoolOps = function () {\n  function e() {}return e.maxPool = function (t, n, r, a, o) {\n    assertArgumentsAreTensors({ x: t }, \"maxPool\");var i = t,\n        s = !1;3 === t.rank && (s = !0, i = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, \"Error in maxPool: input must be rank 4 but got rank \" + i.rank + \".\"), null != o && assert(isInt(a), \"Error in maxPool: pad must be an integer when using, dimRoundingMode \" + o + \" but got pad \" + a + \".\");var u = computePool2DInfo(i.shape, n, r, a, o),\n        l = ENV.engine.runKernel(function (e, t) {\n      return t(e.maxPool(i, u));\n    }, { x: i }, function (t, o) {\n      var s = o[0];return { x: function () {\n          return e.maxPoolBackprop(t, i, s, n, r, a);\n        } };\n    });return s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;\n  }, e.maxPoolBackprop = function (e, t, n, r, a, o, i) {\n    assertArgumentsAreTensors({ dy: e, input: t, output: n }, \"maxPoolBackprop\"), assert(t.rank === e.rank, \"Rank of input (\" + t.rank + \") does not match rank of dy (\" + e.rank + \")\"), assert(4 === e.rank, \"Error in maxPoolBackprop: dy must be rank 4 but got rank \" + e.rank + \".\"), assert(4 === t.rank, \"Error in maxPoolBackprop: input must be rank 4 but got rank \" + t.rank + \".\"), null != i && assert(isInt(o), \"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \" + i + \" but got pad \" + o + \".\");var s = computePool2DInfo(t.shape, r, a, o, i);return ENV.engine.runKernel(function (r) {\n      return r.maxPoolBackprop(e, t, n, s);\n    }, { dy: e, input: t });\n  }, e.avgPool = function (t, n, r, a, o) {\n    assertArgumentsAreTensors({ x: t }, \"avgPool\"), assert(\"float32\" === t.dtype, \"The input dtype to avgPool must be float32\");var i = t,\n        s = !1;3 === t.rank && (s = !0, i = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, \"Error in avgPool: x must be rank 4 but got rank \" + i.rank + \".\"), null != o && assert(isInt(a), \"Error in avgPool: pad must be an integer when using, dimRoundingMode \" + o + \" but got pad \" + a + \".\");var u = computePool2DInfo(i.shape, n, r, a),\n        l = ENV.engine.runKernel(function (e) {\n      return e.avgPool(i, u);\n    }, { x: i }, function (t) {\n      return { x: function () {\n          return e.avgPoolBackprop(t, i, n, r, a);\n        } };\n    });return l = l.cast(t.dtype), s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;\n  }, e.avgPoolBackprop = function (e, t, n, r, a) {\n    assertArgumentsAreTensors({ dy: e, input: t }, \"avgPoolBackprop\"), assert(t.rank === e.rank, \"Rank of input (\" + t.rank + \") does not match rank of dy (\" + e.rank + \")\");var o = t,\n        i = e,\n        s = !1;3 === t.rank && (s = !0, o = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]), i = e.as4D(1, e.shape[0], e.shape[1], e.shape[2])), assert(4 === i.rank, \"Error in avgPoolBackprop: dy must be rank 4 but got rank \" + i.rank + \".\"), assert(4 === o.rank, \"Error in avgPoolBackprop: input must be rank 4 but got rank \" + o.rank + \".\");var u = computePool2DInfo(o.shape, n, r, a),\n        l = ENV.engine.runKernel(function (e) {\n      return e.avgPoolBackprop(i, o, u);\n    }, { dy4D: i, input4D: o });return s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"maxPool\", null), __decorate([operation], e, \"maxPoolBackprop\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Convolution\" }), operation], e, \"avgPool\", null), __decorate([operation], e, \"avgPoolBackprop\", null), e;\n}(),\n    ReductionOps = function () {\n  function e() {}return e.logSumExp = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"logSumExp\");var r = parseAxisParam(t, e.shape),\n        a = e.max(r, !0),\n        o = e.sub(a).exp().sum(r).log(),\n        i = a.reshape(o.shape).add(o);if (n) {\n      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);\n    }return i;\n  }, e.sum = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"sum\"), \"bool\" === e.dtype && (e = e.toInt());var r = parseAxisParam(t, e.shape);return customGrad(function (e) {\n      var t = getAxesPermutation(r, e.rank),\n          a = r,\n          o = e;null != t && (o = e.transpose(t), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (e) {\n        return e.sum(o, a);\n      }, { permutedX: o });if (n) {\n        var s = expandShapeToKeepDim(i.shape, r);i = i.reshape(s);\n      }return { value: i, gradFunc: function (t) {\n          var n = e.shape.slice();return r.forEach(function (e) {\n            n[e] = 1;\n          }), t.reshape(n).mul(ones(e.shape, \"float32\"));\n        } };\n    })(e);\n  }, e.mean = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"mean\");var r = parseAxisParam(t, e.shape),\n        a = sizeFromShape(computeOutAndReduceShapes(e.shape, r)[1]);return customGrad(function (e) {\n      var o = scalar(a);return { value: (o.dtype === e.dtype ? e : e.cast(o.dtype)).div(o).sum(t, n), gradFunc: function (t) {\n          var n = e.shape.slice();return r.forEach(function (e) {\n            n[e] = 1;\n          }), t.reshape(n).mul(ones(e.shape, \"float32\")).div(o);\n        } };\n    })(e);\n  }, e.min = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"min\");var r = parseAxisParam(t, e.shape),\n        a = r,\n        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {\n      return t.min(e, a);\n    }, { x: e });if (n) {\n      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);\n    }return i;\n  }, e.max = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"max\");var r = parseAxisParam(t, e.shape),\n        a = r,\n        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {\n      return t.max(e, a);\n    }, { x: e });if (n) {\n      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);\n    }return i;\n  }, e.argMin = function (e, t) {\n    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, \"argMin\"), null == t && (t = 0);var n = parseAxisParam(t, e.shape),\n        r = getAxesPermutation(n, e.rank);return null != r && (e = e.transpose(r), n = getInnerMostAxes(n.length, e.rank)), ENV.engine.runKernel(function (t) {\n      return t.argMin(e, n[0]);\n    }, { x: e });\n  }, e.argMax = function (e, t) {\n    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, \"argMax\"), null == t && (t = 0);var n = parseAxisParam(t, e.shape),\n        r = getAxesPermutation(n, e.rank);return null != r && (e = e.transpose(r), n = getInnerMostAxes(n.length, e.rank)), ENV.engine.runKernel(function (t) {\n      return t.argMax(e, n[0]);\n    }, { x: e });\n  }, e.all = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"all\"), assert(\"bool\" === e.dtype, \"Error Array must be of type bool.\");var r = parseAxisParam(t, e.shape),\n        a = r,\n        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {\n      return t.all(e, a);\n    }, { x: e });if (n) {\n      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);\n    }return i;\n  }, e.moments = function (e, t, n) {\n    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, \"moments\");var r = parseAxisParam(t, e.shape),\n        a = e.mean(r, n),\n        o = a.shape;return n || (o = expandShapeToKeepDim(a.shape, r)), { mean: a, variance: e.toFloat().sub(a.reshape(o)).square().mean(r, n) };\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"logSumExp\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"sum\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"mean\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"min\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"max\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"argMin\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"argMax\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Reduction\" }), operation], e, \"all\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Normalization\" }), operation], e, \"moments\", null), e;\n}(),\n    ReverseOps = function () {\n  function e() {}return e.reverse1d = function (t) {\n    return assert(1 === t.rank, \"Error in reverse1D: x must be rank 1 but got\\n             rank \" + t.rank + \".\"), e.reverse(t, 0);\n  }, e.reverse2d = function (t, n) {\n    return assert(2 === t.rank, \"Error in reverse2D: x must be rank 2 but got\\n             rank \" + t.rank + \".\"), e.reverse(t, n);\n  }, e.reverse3d = function (t, n) {\n    return assert(3 === t.rank, \"Error in reverse3D: x must be rank 3 but got\\n             rank \" + t.rank + \".\"), e.reverse(t, n);\n  }, e.reverse4d = function (t, n) {\n    return assert(4 === t.rank, \"Error in reverse4D: x must be rank 4 but got\\n             rank \" + t.rank + \".\"), e.reverse(t, n);\n  }, e.reverse = function (e, t) {\n    if (assertArgumentsAreTensors({ x: e }, \"reverse\"), 0 === e.rank) return e.clone();var n = parseAxisParam(t, e.shape);return ENV.engine.runKernel(function (t) {\n      return t.reverse(e, n);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return e.reverse(n);\n        } };\n    }).reshapeAs(e);\n  }, __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"reverse\", null), e;\n}(),\n    SigmoidCrossEntropyOps = function () {\n  function e() {}return e.sigmoidCrossEntropyWithLogits = function (e, t) {\n    assertArgumentsAreTensors({ labels: e, logits: t }, \"sigmoidCrossEntropyWithLogits\"), assertShapesMatch(e.shape, t.shape, \"Error in sigmoidCrossEntropyWithLogits: \");var n = t.relu(),\n        r = t.mul(e),\n        a = t.abs().neg().exp().log1p();return n.sub(r).add(a);\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Cross Entropy\" }), operation], e, \"sigmoidCrossEntropyWithLogits\", null), e;\n}();function assertParamsValid(e, t, n) {\n  assert(e.rank === t.length, \"Error in slice\" + e.rank + \"D: Length of begin \" + t + \" must match the rank of the array (\" + e.rank + \").\"), assert(e.rank === n.length, \"Error in slice\" + e.rank + \"D: Length of size \" + n + \" must match the rank of the array (\" + e.rank + \").\");for (var r = 0; r < e.rank; ++r) assert(t[r] + n[r] <= e.shape[r], \"Error in slice\" + e.rank + \"D: begin[\" + r + \"] + size[\" + r + \"] (\" + (t[r] + n[r]) + \") would overflow input.shape[\" + r + \"] (\" + e.shape[r] + \")\");\n}function getStridedSlicedInfo(e, t, n, r, a, o) {\n  void 0 === a && (a = 0), void 0 === o && (o = 0);for (var i = [], s = [], u = 0; u < e.length; u++) i[u] = startForAxis(a, t, r, e, u), s[u] = stopForAxis(o, n, r, e, u);var l = new Array(e.length).fill(0);return l = l.map(function (e, t) {\n    for (var n = 0, a = i[t]; !(r[t] > 0 ? a >= s[t] : a <= s[t]); a += r[t]) n += 1;return n;\n  }), [i, l];\n}function startForAxis(e, t, n, r, a) {\n  var o = t[a];e & 1 << a && (o = n[a] > 0 ? Number.MIN_SAFE_INTEGER : Number.MAX_SAFE_INTEGER);var i = r[a];return o < 0 && (o += i), o = clamp(0, o, i - 1);\n}function stopForAxis(e, t, n, r, a) {\n  var o = t[a];e & 1 << a && (o = n[a] > 0 ? Number.MAX_SAFE_INTEGER : Number.MIN_SAFE_INTEGER);var i = r[a];return o < 0 && (o += i), o = n[a] > 0 ? clamp(0, o, i) : clamp(-1, o, i - 1);\n}var SliceOps = function () {\n  function e() {}return e.slice1d = function (t, n, r) {\n    return assert(1 === t.rank, \"slice1d expects a rank-1 tensor, but got a rank-\" + t.rank + \" tensor\"), e.slice(t, [n], [r]);\n  }, e.slice2d = function (t, n, r) {\n    return assert(2 === t.rank, \"slice1d expects a rank-2 tensor, but got a rank-\" + t.rank + \" tensor\"), e.slice(t, n, r);\n  }, e.slice3d = function (t, n, r) {\n    return assert(3 === t.rank, \"slice1d expects a rank-3 tensor, but got a rank-\" + t.rank + \" tensor\"), e.slice(t, n, r);\n  }, e.slice4d = function (t, n, r) {\n    return assert(4 === t.rank, \"slice1d expects a rank-4 tensor, but got a rank-\" + t.rank + \" tensor\"), e.slice(t, n, r);\n  }, e.slice = function (e, t, n) {\n    if (assertArgumentsAreTensors({ x: e }, \"slice\"), 0 === e.rank) throw new Error(\"Slicing scalar is not possible\");var r, a;r = \"number\" == typeof t ? [t].concat(new Array(e.rank - 1).fill(0)) : t.length < e.rank ? t.concat(new Array(e.rank - t.length).fill(0)) : t, a = (a = null == n ? new Array(e.rank).fill(-1) : \"number\" == typeof n ? [n].concat(new Array(e.rank - 1).fill(-1)) : n.length < e.rank ? n.concat(new Array(e.rank - n.length).fill(-1)) : n).map(function (t, n) {\n      return t >= 0 ? t : (assert(-1 === t, \"Bad value in size\"), e.shape[n] - r[n]);\n    }), assertParamsValid(e, r, a);var o = e.shape;return ENV.engine.runKernel(function (t) {\n      return t.slice(e, r, a);\n    }, { x: e }, function (e) {\n      for (var t = [], n = 0; n < e.rank; n++) t.push([r[n], o[n] - r[n] - a[n]]);return { x: function () {\n          return e.pad(t);\n        } };\n    });\n  }, __decorate([doc({ heading: \"Tensors\", subheading: \"Slicing and Joining\" }), operation], e, \"slice\", null), e;\n}(),\n    SoftmaxOps = function () {\n  function e() {}return e.softmax = function (e, t) {\n    if (void 0 === t && (t = -1), assertArgumentsAreTensors({ logits: e }, \"softmax\"), -1 === t && (t = e.rank - 1), t !== e.rank - 1) throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \" + e.rank + \" and dim was \" + t);return customGrad(function (e) {\n      var n = e.logSumExp([t], !0),\n          r = e.toFloat().sub(n).exp();return { value: r, gradFunc: function (e) {\n          var n = e.mul(r);return n.sub(n.sum([t], !0).mul(r));\n        } };\n    })(e);\n  }, e.softmaxCrossEntropy = function (e, t, n) {\n    if (void 0 === n && (n = -1), assertArgumentsAreTensors({ labels: e, logits: t }, \"softmaxCrossEntropy\"), assertShapesMatch(e.shape, t.shape, \"Error in softmaxCrossEntropy: \"), -1 === n && (n = t.rank - 1), n !== t.rank - 1) throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \" + t.rank + \" and dim was \" + n);return customGrad(function (e, t) {\n      var r = t.softmax(n);return { value: scalar(1e-5).add(r).log().mul(e).neg().sum([n]), gradFunc: function (t) {\n          var a = expandShapeToKeepDim(t.shape, [n]);return [t.reshape(a).mul(e.toFloat().sub(r)), t.reshape(a).mul(r.sub(e.toFloat()))];\n        } };\n    })(e, t);\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Normalization\" }), operation], e, \"softmax\", null), __decorate([doc({ heading: \"Training\", subheading: \"Losses\", namespace: \"losses\" }), operation], e, \"softmaxCrossEntropy\", null), e;\n}(),\n    StridedSliceOps = function () {\n  function e() {}return e.stridedSlice = function (e, t, n, r, a, o) {\n    return void 0 === a && (a = 0), void 0 === o && (o = 0), assertArgumentsAreTensors({ x: e }, \"stridedSlice\"), ENV.engine.runKernel(function (i) {\n      return i.stridedSlice(e, t, n, r, a, o);\n    }, { x: e });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Slicing and Joining\" }), operation], e, \"stridedSlice\", null), e;\n}(),\n    TransposeOps = function () {\n  function e() {}return e.transpose = function (e, t) {\n    if (assertArgumentsAreTensors({ x: e }, \"transpose\"), null == t && (t = e.shape.map(function (e, t) {\n      return t;\n    }).reverse()), assert(e.rank === t.length, \"Error in transpose: rank of input \" + e.rank + \" must match length of perm \" + t + \".\"), t.forEach(function (n) {\n      assert(n >= 0 && n < e.rank, \"All entries in 'perm' must be between 0 and \" + (e.rank - 1) + \" but got \" + t);\n    }), e.rank <= 1) return e.clone();return ENV.engine.runKernel(function (n) {\n      return n.transpose(e, t);\n    }, { x: e }, function (e) {\n      var n = getUndoAxesPermutation(t);return { x: function () {\n          return e.transpose(n);\n        } };\n    });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Matrices\" }), operation], e, \"transpose\", null), e;\n}(),\n    SELU_SCALEALPHA = 1.7580993408473768,\n    SELU_SCALE = 1.0507009873554805,\n    UnaryOps = function () {\n  function e() {}return e.neg = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"neg\");return ENV.engine.runKernel(function (t) {\n      return t.neg(e);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return e.neg();\n        } };\n    });\n  }, e.ceil = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"ceil\");return ENV.engine.runKernel(function (t) {\n      return t.ceil(e);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return zerosLike(e);\n        } };\n    });\n  }, e.floor = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"floor\");return ENV.engine.runKernel(function (t) {\n      return t.floor(e);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return zerosLike(e);\n        } };\n    });\n  }, e.sign = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"sign\");return ENV.engine.runKernel(function (t) {\n      return t.sign(e);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return zerosLike(e);\n        } };\n    });\n  }, e.round = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"round\");return ENV.engine.runKernel(function (t) {\n      return t.round(e);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return zerosLike(e);\n        } };\n    });\n  }, e.exp = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"exp\");return ENV.engine.runKernel(function (t, n) {\n      return n(t.exp(e));\n    }, { x: e }, function (e, t) {\n      var n = t[0];return { x: function () {\n          return e.mulStrict(n);\n        } };\n    });\n  }, e.expm1 = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"expm1\");return ENV.engine.runKernel(function (t) {\n      return t.expm1(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(e.exp());\n        } };\n    });\n  }, e.log = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"log\");return ENV.engine.runKernel(function (t) {\n      return t.log(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.toFloat());\n        } };\n    });\n  }, e.log1p = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"log1p\");return ENV.engine.runKernel(function (t) {\n      return t.log1p(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.add(scalar(1)));\n        } };\n    });\n  }, e.sqrt = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"sqrt\");return ENV.engine.runKernel(function (t) {\n      return t.sqrt(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.toFloat().sqrt().mul(scalar(2)));\n        } };\n    });\n  }, e.rsqrt = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"rsqrt\");return ENV.engine.runKernel(function (t) {\n      return t.rsqrt(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.pow(scalar(1.5)).mul(scalar(2))).neg();\n        } };\n    });\n  }, e.square = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"square\");return ENV.engine.runKernel(function (t) {\n      return t.square(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(e.toFloat().mul(scalar(2)));\n        } };\n    });\n  }, e.reciprocal = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"reciprocal\");return ENV.engine.runKernel(function (t) {\n      return t.reciprocal(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.square().neg());\n        } };\n    });\n  }, e.abs = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"abs\");return ENV.engine.runKernel(function (t) {\n      return t.abs(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(e.toFloat().step(-1));\n        } };\n    });\n  }, e.clipByValue = function (e, t, n) {\n    assertArgumentsAreTensors({ x: e }, \"clipByValue\"), assert(t <= n, \"Error in clip: min (\" + t + \") must be less than or equal to max (\" + n + \").\");return ENV.engine.runKernel(function (r) {\n      return r.clip(e, t, n);\n    }, { x: e }, function (r) {\n      return { x: function () {\n          return r.where(e.greaterEqual(scalar(t)).logicalAnd(e.lessEqual(scalar(n))), zerosLike(r));\n        } };\n    });\n  }, e.relu = function (e) {\n    if (assertArgumentsAreTensors({ x: e }, \"relu\"), \"bool\" === e.dtype) return e.toInt();return ENV.engine.runKernel(function (t) {\n      return t.relu(e);\n    }, { x: e }, function (t) {\n      var n = e.step();return { x: function () {\n          return t.mulStrict(n.toFloat());\n        } };\n    });\n  }, e.elu = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"elu\");return ENV.engine.runKernel(function (t, n) {\n      return n(t.elu(e));\n    }, { x: e }, function (e, t) {\n      var n = t[0];return { x: function () {\n          return ENV.engine.runKernel(function (t) {\n            return t.eluDer(e, n);\n          }, { dy: e, y: n });\n        } };\n    });\n  }, e.selu = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"selu\");return ENV.engine.runKernel(function (t) {\n      return t.selu(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          var n = e.greater(scalar(0)),\n              r = scalar(SELU_SCALEALPHA),\n              a = scalar(SELU_SCALE),\n              o = t.mul(a),\n              i = t.mul(r).mul(e.toFloat().exp());return where(n, o, i);\n        } };\n    });\n  }, e.leakyRelu = function (e, t) {\n    return void 0 === t && (t = .2), assertArgumentsAreTensors({ x: e }, \"leakyRelu\"), maximum(scalar(t).mul(e), e);\n  }, e.prelu = function (e, t) {\n    assertArgumentsAreTensors({ x: e, alpha: t }, \"prelu\");var n = scalar(0);return maximum(n, e).add(t.mul(minimum(n, e)));\n  }, e.sigmoid = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"sigmoid\");return ENV.engine.runKernel(function (t, n) {\n      return n(t.sigmoid(e));\n    }, { x: e }, function (e, t) {\n      var n = t[0];return { x: function () {\n          return e.mulStrict(n.mul(scalar(1).sub(n)));\n        } };\n    });\n  }, e.logSigmoid = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"logSigmoid\");return ENV.engine.runKernel(function (t) {\n      return t.softplus(e.neg()).neg();\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(e.neg().sigmoid());\n        } };\n    });\n  }, e.softplus = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"softplus\");return ENV.engine.runKernel(function (t) {\n      return t.softplus(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(e.sigmoid());\n        } };\n    });\n  }, e.sin = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"sin\");return ENV.engine.runKernel(function (t) {\n      return t.sin(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return e.toFloat().cos().mulStrict(t);\n        } };\n    });\n  }, e.cos = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"cos\");return ENV.engine.runKernel(function (t) {\n      return t.cos(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return e.toFloat().sin().neg().mulStrict(t);\n        } };\n    });\n  }, e.tan = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"tan\");return ENV.engine.runKernel(function (t) {\n      return t.tan(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(e.cos().square());\n        } };\n    });\n  }, e.asin = function (t) {\n    assertArgumentsAreTensors({ x: t }, \"asin\");return ENV.engine.runKernel(function (e) {\n      return e.asin(t);\n    }, { x: t }, function (n) {\n      return { x: function () {\n          return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square())));\n        } };\n    });\n  }, e.acos = function (t) {\n    assertArgumentsAreTensors({ x: t }, \"acos\");return ENV.engine.runKernel(function (e) {\n      return e.acos(t);\n    }, { x: t }, function (n) {\n      return { x: function () {\n          return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square()))).neg();\n        } };\n    });\n  }, e.atan = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"atan\");return ENV.engine.runKernel(function (t) {\n      return t.atan(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(scalar(1).add(e.toFloat().square()));\n        } };\n    });\n  }, e.sinh = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"sinh\");return ENV.engine.runKernel(function (t) {\n      return t.sinh(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return e.toFloat().cosh().mulStrict(t);\n        } };\n    });\n  }, e.cosh = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"cosh\");return ENV.engine.runKernel(function (t) {\n      return t.cosh(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return e.toFloat().sinh().mulStrict(t);\n        } };\n    });\n  }, e.tanh = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"tanh\");return ENV.engine.runKernel(function (t, n) {\n      return n(t.tanh(e));\n    }, { x: e }, function (e, t) {\n      var n = t[0];return { x: function () {\n          return scalar(1).sub(n.square()).mulStrict(e);\n        } };\n    });\n  }, e.asinh = function (t) {\n    assertArgumentsAreTensors({ x: t }, \"asinh\");return ENV.engine.runKernel(function (e) {\n      return e.asinh(t);\n    }, { x: t }, function (n) {\n      return { x: function () {\n          return n.divStrict(e.sqrt(scalar(1).add(t.toFloat().square())));\n        } };\n    });\n  }, e.acosh = function (t) {\n    assertArgumentsAreTensors({ x: t }, \"acosh\");return ENV.engine.runKernel(function (e) {\n      return e.acosh(t);\n    }, { x: t }, function (n) {\n      return { x: function () {\n          return n.divStrict(e.sqrt(t.toFloat().square().sub(scalar(1))));\n        } };\n    });\n  }, e.atanh = function (e) {\n    assertArgumentsAreTensors({ x: e }, \"atanh\");return ENV.engine.runKernel(function (t) {\n      return t.atanh(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.divStrict(scalar(1).sub(e.toFloat().square()));\n        } };\n    });\n  }, e.erf = function (e) {\n    assert(\"int32\" === e.dtype || \"float32\" === e.dtype, \"Input dtype must be `int32` or `float32`.\"), \"int32\" === e.dtype && (e = e.toFloat());return ENV.engine.runKernel(function (t) {\n      return t.erf(e);\n    }, { x: e }, function (t) {\n      return { x: function () {\n          return t.mulStrict(scalar(2 / Math.sqrt(Math.PI)).mul(e.square().neg().exp()));\n        } };\n    });\n  }, e.step = function (e, t) {\n    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, \"step\");return ENV.engine.runKernel(function (n) {\n      return n.step(e, t);\n    }, { x: e }, function (e) {\n      return { x: function () {\n          return zerosLike(e);\n        } };\n    });\n  }, __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"neg\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"ceil\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"floor\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"sign\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"round\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"exp\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"expm1\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"log\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"log1p\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"sqrt\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"rsqrt\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"square\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"reciprocal\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"abs\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"clipByValue\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"relu\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"elu\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"selu\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"leakyRelu\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"prelu\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"sigmoid\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"logSigmoid\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"softplus\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"sin\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"cos\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"tan\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"asin\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"acos\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"atan\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"sinh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"cosh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"tanh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"asinh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"acosh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"atanh\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"erf\", null), __decorate([doc({ heading: \"Operations\", subheading: \"Basic math\" }), operation], e, \"step\", null), e;\n}(),\n    batchNormalization = BatchNormOps.batchNormalization,\n    batchNormalization2d = BatchNormOps.batchNormalization2d,\n    batchNormalization3d = BatchNormOps.batchNormalization3d,\n    batchNormalization4d = BatchNormOps.batchNormalization4d,\n    concat = ConcatOps.concat,\n    concat1d = ConcatOps.concat1d,\n    concat2d = ConcatOps.concat2d,\n    concat3d = ConcatOps.concat3d,\n    concat4d = ConcatOps.concat4d,\n    conv1d = ConvOps.conv1d,\n    conv2d = ConvOps.conv2d,\n    conv2dTranspose = ConvOps.conv2dTranspose,\n    depthwiseConv2d = ConvOps.depthwiseConv2d,\n    separableConv2d = ConvOps.separableConv2d,\n    matMul = MatmulOps.matMul,\n    matrixTimesVector = MatmulOps.matrixTimesVector,\n    outerProduct = MatmulOps.outerProduct,\n    vectorTimesMatrix = MatmulOps.vectorTimesMatrix,\n    dot = MatmulOps.dot,\n    avgPool = PoolOps.avgPool,\n    maxPool = PoolOps.maxPool,\n    transpose = TransposeOps.transpose,\n    reverse = ReverseOps.reverse,\n    reverse1d = ReverseOps.reverse1d,\n    reverse2d = ReverseOps.reverse2d,\n    reverse3d = ReverseOps.reverse3d,\n    reverse4d = ReverseOps.reverse4d,\n    slice = SliceOps.slice,\n    slice1d = SliceOps.slice1d,\n    slice2d = SliceOps.slice2d,\n    slice3d = SliceOps.slice3d,\n    slice4d = SliceOps.slice4d,\n    stridedSlice = StridedSliceOps.stridedSlice,\n    argMax = ReductionOps.argMax,\n    argMin = ReductionOps.argMin,\n    logSumExp = ReductionOps.logSumExp,\n    max = ReductionOps.max,\n    mean = ReductionOps.mean,\n    min = ReductionOps.min,\n    all = ReductionOps.all,\n    moments = ReductionOps.moments,\n    sum = ReductionOps.sum,\n    unsortedSegmentSum = SegmentOps.unsortedSegmentSum,\n    equal = CompareOps.equal,\n    equalStrict = CompareOps.equalStrict,\n    greater = CompareOps.greater,\n    greaterStrict = CompareOps.greaterStrict,\n    greaterEqual = CompareOps.greaterEqual,\n    greaterEqualStrict = CompareOps.greaterEqualStrict,\n    less = CompareOps.less,\n    lessStrict = CompareOps.lessStrict,\n    lessEqual = CompareOps.lessEqual,\n    lessEqualStrict = CompareOps.lessEqualStrict,\n    notEqual = CompareOps.notEqual,\n    notEqualStrict = CompareOps.notEqualStrict,\n    logicalNot = LogicalOps.logicalNot,\n    logicalAnd = LogicalOps.logicalAnd,\n    logicalOr = LogicalOps.logicalOr,\n    logicalXor = LogicalOps.logicalXor,\n    where = LogicalOps.where,\n    abs = UnaryOps.abs,\n    acos = UnaryOps.acos,\n    acosh = UnaryOps.acosh,\n    asin = UnaryOps.asin,\n    asinh = UnaryOps.asinh,\n    atan = UnaryOps.atan,\n    atanh = UnaryOps.atanh,\n    ceil = UnaryOps.ceil,\n    clipByValue = UnaryOps.clipByValue,\n    cos = UnaryOps.cos,\n    cosh = UnaryOps.cosh,\n    elu = UnaryOps.elu,\n    exp = UnaryOps.exp,\n    expm1 = UnaryOps.expm1,\n    floor = UnaryOps.floor,\n    sign = UnaryOps.sign,\n    leakyRelu = UnaryOps.leakyRelu,\n    log = UnaryOps.log,\n    log1p = UnaryOps.log1p,\n    logSigmoid = UnaryOps.logSigmoid,\n    neg = UnaryOps.neg,\n    prelu = UnaryOps.prelu,\n    relu = UnaryOps.relu,\n    reciprocal = UnaryOps.reciprocal,\n    round = UnaryOps.round,\n    selu = UnaryOps.selu,\n    sigmoid = UnaryOps.sigmoid,\n    sin = UnaryOps.sin,\n    sinh = UnaryOps.sinh,\n    softplus = UnaryOps.softplus,\n    sqrt = UnaryOps.sqrt,\n    rsqrt = UnaryOps.rsqrt,\n    square = UnaryOps.square,\n    step = UnaryOps.step,\n    tan = UnaryOps.tan,\n    tanh$1 = UnaryOps.tanh,\n    erf = UnaryOps.erf,\n    add = BinaryOps.add,\n    addStrict = BinaryOps.addStrict,\n    atan2 = BinaryOps.atan2,\n    div = BinaryOps.div,\n    floorDiv = BinaryOps.floorDiv,\n    divStrict = BinaryOps.divStrict,\n    maximum = BinaryOps.maximum,\n    maximumStrict = BinaryOps.maximumStrict,\n    minimum = BinaryOps.minimum,\n    minimumStrict = BinaryOps.minimumStrict,\n    mod = BinaryOps.mod,\n    modStrict = BinaryOps.modStrict,\n    mul = BinaryOps.mul,\n    mulStrict = BinaryOps.mulStrict,\n    pow = BinaryOps.pow,\n    powStrict = BinaryOps.powStrict,\n    sub = BinaryOps.sub,\n    subStrict = BinaryOps.subStrict,\n    squaredDifference = BinaryOps.squaredDifference,\n    squaredDifferenceStrict = BinaryOps.squaredDifferenceStrict,\n    norm = NormOps.norm,\n    cast = ArrayOps.cast,\n    clone = ArrayOps.clone,\n    fromPixels = ArrayOps.fromPixels,\n    toPixels = ArrayOps.toPixels,\n    ones = ArrayOps.ones,\n    onesLike = ArrayOps.onesLike,\n    zeros = ArrayOps.zeros,\n    zerosLike = ArrayOps.zerosLike,\n    eye = ArrayOps.eye,\n    rand = ArrayOps.rand,\n    randomNormal = ArrayOps.randomNormal,\n    truncatedNormal = ArrayOps.truncatedNormal,\n    randomUniform = ArrayOps.randomUniform,\n    multinomial = ArrayOps.multinomial,\n    reshape = ArrayOps.reshape,\n    squeeze = ArrayOps.squeeze,\n    tile = ArrayOps.tile,\n    gather = ArrayOps.gather,\n    oneHot = ArrayOps.oneHot,\n    linspace = ArrayOps.linspace,\n    range = ArrayOps.range,\n    buffer = ArrayOps.buffer,\n    fill = ArrayOps.fill,\n    tensor = ArrayOps.tensor,\n    scalar = ArrayOps.scalar,\n    tensor1d = ArrayOps.tensor1d,\n    tensor2d = ArrayOps.tensor2d,\n    tensor3d = ArrayOps.tensor3d,\n    tensor4d = ArrayOps.tensor4d,\n    tensor5d = ArrayOps.tensor5d,\n    tensor6d = ArrayOps.tensor6d,\n    print = ArrayOps.print,\n    expandDims = ArrayOps.expandDims,\n    stack = ArrayOps.stack,\n    unstack = ArrayOps.unstack,\n    split = ArrayOps.split,\n    cumsum = ArrayOps.cumsum,\n    pad = ArrayOps.pad,\n    pad1d = ArrayOps.pad1d,\n    pad2d = ArrayOps.pad2d,\n    pad3d = ArrayOps.pad3d,\n    pad4d = ArrayOps.pad4d,\n    movingAverage = MovingAverageOps.movingAverage,\n    basicLSTMCell = LSTMOps.basicLSTMCell,\n    multiRNNCell = LSTMOps.multiRNNCell,\n    softmax = SoftmaxOps.softmax,\n    sigmoidCrossEntropyWithLogits = SigmoidCrossEntropyOps.sigmoidCrossEntropyWithLogits,\n    localResponseNormalization = LRNOps.localResponseNormalization,\n    linalg = LinalgOps,\n    losses = { absoluteDifference: LossOps.absoluteDifference, computeWeightedLoss: LossOps.computeWeightedLoss, cosineDistance: LossOps.cosineDistance, hingeLoss: LossOps.hingeLoss, huberLoss: LossOps.huberLoss, logLoss: LossOps.logLoss, meanSquaredError: LossOps.meanSquaredError, softmaxCrossEntropy: SoftmaxOps.softmaxCrossEntropy },\n    image = { resizeBilinear: ImageOps.resizeBilinear, resizeNearestNeighbor: ImageOps.resizeNearestNeighbor },\n    TensorBuffer = function () {\n  function e(e, t, n) {\n    if (this.dtype = t, null != n) {\n      var r = n.length,\n          a = sizeFromShape(e);assert(r === a, \"Length of values '\" + r + \"' does not match the size inferred by the shape '\" + a + \"'\");\n    }this.shape = e.slice(), this.values = n || getTypedArrayFromDType(t, sizeFromShape(e)), this.strides = computeStrides(e), this.size = sizeFromShape(e);\n  }return e.prototype.set = function (e) {\n    for (var t = [], n = 1; n < arguments.length; n++) t[n - 1] = arguments[n];0 === t.length && (t = [0]), assert(t.length === this.rank, \"The number of provided coordinates (\" + t.length + \") must match the rank (\" + this.rank + \")\");var r = this.locToIndex(t);this.values[r] = e;\n  }, e.prototype.get = function () {\n    for (var e = [], t = 0; t < arguments.length; t++) e[t] = arguments[t];0 === e.length && (e = [0]);for (var n = e[e.length - 1], r = 0; r < e.length - 1; ++r) n += this.strides[r] * e[r];return this.values[n];\n  }, e.prototype.locToIndex = function (e) {\n    if (0 === this.rank) return 0;if (1 === this.rank) return e[0];for (var t = e[e.length - 1], n = 0; n < e.length - 1; ++n) t += this.strides[n] * e[n];return t;\n  }, e.prototype.indexToLoc = function (e) {\n    if (0 === this.rank) return [];if (1 === this.rank) return [e];for (var t = new Array(this.shape.length), n = 0; n < t.length - 1; ++n) t[n] = Math.floor(e / this.strides[n]), e -= t[n] * this.strides[n];return t[t.length - 1] = e, t;\n  }, Object.defineProperty(e.prototype, \"rank\", { get: function () {\n      return this.shape.length;\n    }, enumerable: !0, configurable: !0 }), e.prototype.toTensor = function () {\n    return Tensor.make(this.shape, { values: this.values }, this.dtype);\n  }, __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e.prototype, \"set\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e.prototype, \"get\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], e.prototype, \"toTensor\", null), e = __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e);\n}(),\n    Tensor = function () {\n  function e(e, n, r, a) {\n    this.isDisposedInternal = !1, this.size = sizeFromShape(e), null != r && assert(this.size === r.length, \"Constructing tensor of shape (\" + this.size + \") should match the length of values (\" + r.length + \")\"), this.shape = e.slice(), this.dtype = n || \"float32\", this.strides = computeStrides(e), this.dataId = null != a ? a : {}, this.id = t.nextId++, this.rankType = this.rank < 5 ? this.rank.toString() : \"higher\", ENV.engine.registerTensor(this), null != r && ENV.engine.write(this.dataId, r);\n  }return t = e, e.make = function (e, n, r) {\n    return new t(e, r, n.values, n.dataId);\n  }, e.prototype.flatten = function () {\n    return this.throwIfDisposed(), this.as1D();\n  }, e.prototype.asScalar = function () {\n    return this.throwIfDisposed(), assert(1 === this.size, \"The array must have only 1 element.\"), this.reshape([]);\n  }, e.prototype.as1D = function () {\n    return this.throwIfDisposed(), this.reshape([this.size]);\n  }, e.prototype.as2D = function (e, t) {\n    return this.throwIfDisposed(), this.reshape([e, t]);\n  }, e.prototype.as3D = function (e, t, n) {\n    return this.throwIfDisposed(), this.reshape([e, t, n]);\n  }, e.prototype.as4D = function (e, t, n, r) {\n    return this.throwIfDisposed(), this.reshape([e, t, n, r]);\n  }, e.prototype.asType = function (e) {\n    return this.throwIfDisposed(), cast(this, e);\n  }, Object.defineProperty(e.prototype, \"rank\", { get: function () {\n      return this.shape.length;\n    }, enumerable: !0, configurable: !0 }), e.prototype.get = function () {\n    for (var e = [], t = 0; t < arguments.length; t++) e[t] = arguments[t];assert(e.length === this.rank, \"Number of coordinates in get() must match the rank of the tensor\"), this.throwIfDisposed(), 0 === e.length && (e = [0]);for (var n = e[e.length - 1], r = 0; r < e.length - 1; ++r) n += this.strides[r] * e[r];return this.dataSync()[n];\n  }, e.prototype.buffer = function () {\n    return buffer(this.shape, this.dtype, this.dataSync());\n  }, e.prototype.data = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return this.throwIfDisposed(), [2, ENV.engine.read(this.dataId)];\n      });\n    });\n  }, e.prototype.dataSync = function () {\n    return this.throwIfDisposed(), ENV.engine.readSync(this.dataId);\n  }, e.prototype.dispose = function () {\n    this.isDisposed || (ENV.engine.disposeTensor(this), this.isDisposedInternal = !0);\n  }, Object.defineProperty(e.prototype, \"isDisposed\", { get: function () {\n      return this.isDisposedInternal;\n    }, enumerable: !0, configurable: !0 }), e.prototype.throwIfDisposed = function () {\n    if (this.isDisposed) throw new Error(\"Tensor is disposed.\");\n  }, e.prototype.toFloat = function () {\n    return this.asType(\"float32\");\n  }, e.prototype.toInt = function () {\n    return this.asType(\"int32\");\n  }, e.prototype.toBool = function () {\n    return this.asType(\"bool\");\n  }, e.prototype.print = function (e) {\n    return void 0 === e && (e = !1), print(this, e);\n  }, e.prototype.reshape = function (e) {\n    return this.throwIfDisposed(), reshape(this, e);\n  }, e.prototype.reshapeAs = function (e) {\n    return this.throwIfDisposed(), this.reshape(e.shape);\n  }, e.prototype.expandDims = function (e) {\n    return void 0 === e && (e = 0), expandDims(this, e);\n  }, e.prototype.cumsum = function (e, t, n) {\n    return void 0 === e && (e = 0), void 0 === t && (t = !1), void 0 === n && (n = !1), cumsum(this, e, t, n);\n  }, e.prototype.squeeze = function (e) {\n    return this.throwIfDisposed(), squeeze(this, e);\n  }, e.prototype.clone = function () {\n    return this.throwIfDisposed(), clone(this);\n  }, e.prototype.toString = function (e) {\n    return void 0 === e && (e = !1), tensorToString(this, e);\n  }, e.prototype.tile = function (e) {\n    return this.throwIfDisposed(), tile(this, e);\n  }, e.prototype.gather = function (e, t) {\n    return void 0 === t && (t = 0), this.throwIfDisposed(), gather(this, e, t);\n  }, e.prototype.matMul = function (e, t, n) {\n    return void 0 === t && (t = !1), void 0 === n && (n = !1), this.throwIfDisposed(), matMul(this, e, t, n);\n  }, e.prototype.dot = function (e) {\n    return this.throwIfDisposed(), dot(this, e);\n  }, e.prototype.norm = function (e, t, n) {\n    return void 0 === e && (e = \"euclidean\"), void 0 === t && (t = null), void 0 === n && (n = !1), this.throwIfDisposed(), norm(this, e, t, n);\n  }, e.prototype.slice = function (e, t) {\n    return this.throwIfDisposed(), slice(this, e, t);\n  }, e.prototype.reverse = function (e) {\n    return this.throwIfDisposed(), reverse(this, e);\n  }, e.prototype.concat = function (e, t) {\n    return void 0 === t && (t = 0), this.throwIfDisposed(), concat([this, e], t);\n  }, e.prototype.stack = function (e, t) {\n    return void 0 === t && (t = 0), stack([this, e], t);\n  }, e.prototype.unstack = function (e, t) {\n    return void 0 === t && (t = 0), unstack(this, t);\n  }, e.prototype.pad = function (e, t) {\n    return void 0 === t && (t = 0), pad(this, e, t);\n  }, e.prototype.batchNormalization = function (e, t, n, r, a) {\n    return void 0 === n && (n = .001), this.throwIfDisposed(), batchNormalization(this, e, t, n, r, a);\n  }, e.prototype.all = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), all(this, e, t);\n  }, e.prototype.logSumExp = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), logSumExp(this, e, t);\n  }, e.prototype.sum = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), sum(this, e, t);\n  }, e.prototype.mean = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), mean(this, e, t);\n  }, e.prototype.min = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), min(this, e, t);\n  }, e.prototype.max = function (e, t) {\n    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), max(this, e, t);\n  }, e.prototype.argMin = function (e) {\n    return void 0 === e && (e = null), this.throwIfDisposed(), argMin(this, e);\n  }, e.prototype.argMax = function (e) {\n    return void 0 === e && (e = null), this.throwIfDisposed(), argMax(this, e);\n  }, e.prototype.cast = function (e) {\n    return this.throwIfDisposed(), cast(this, e);\n  }, e.prototype.add = function (e) {\n    return this.throwIfDisposed(), add(this, e);\n  }, e.prototype.addStrict = function (e) {\n    return this.throwIfDisposed(), addStrict(this, e);\n  }, e.prototype.sub = function (e) {\n    return this.throwIfDisposed(), sub(this, e);\n  }, e.prototype.subStrict = function (e) {\n    return this.throwIfDisposed(), subStrict(this, e);\n  }, e.prototype.pow = function (e) {\n    return this.throwIfDisposed(), pow(this, e);\n  }, e.prototype.powStrict = function (e) {\n    return this.throwIfDisposed(), powStrict(this, e);\n  }, e.prototype.mul = function (e) {\n    return this.throwIfDisposed(), mul(this, e);\n  }, e.prototype.mulStrict = function (e) {\n    return this.throwIfDisposed(), mulStrict(this, e);\n  }, e.prototype.div = function (e) {\n    return this.throwIfDisposed(), div(this, e);\n  }, e.prototype.floorDiv = function (e) {\n    return this.throwIfDisposed(), floorDiv(this, e);\n  }, e.prototype.divStrict = function (e) {\n    return this.throwIfDisposed(), divStrict(this, e);\n  }, e.prototype.minimum = function (e) {\n    return this.throwIfDisposed(), minimum(this, e);\n  }, e.prototype.minimumStrict = function (e) {\n    return this.throwIfDisposed(), minimumStrict(this, e);\n  }, e.prototype.maximum = function (e) {\n    return this.throwIfDisposed(), maximum(this, e);\n  }, e.prototype.maximumStrict = function (e) {\n    return this.throwIfDisposed(), maximumStrict(this, e);\n  }, e.prototype.mod = function (e) {\n    return this.throwIfDisposed(), mod(this, e);\n  }, e.prototype.modStrict = function (e) {\n    return this.throwIfDisposed(), modStrict(this, e);\n  }, e.prototype.squaredDifference = function (e) {\n    return this.throwIfDisposed(), squaredDifference(this, e);\n  }, e.prototype.squaredDifferenceStrict = function (e) {\n    return this.throwIfDisposed(), squaredDifferenceStrict(this, e);\n  }, e.prototype.transpose = function (e) {\n    return this.throwIfDisposed(), transpose(this, e);\n  }, e.prototype.notEqual = function (e) {\n    return this.throwIfDisposed(), notEqual(this, e);\n  }, e.prototype.notEqualStrict = function (e) {\n    return this.throwIfDisposed(), notEqualStrict(this, e);\n  }, e.prototype.less = function (e) {\n    return this.throwIfDisposed(), less(this, e);\n  }, e.prototype.lessStrict = function (e) {\n    return this.throwIfDisposed(), lessStrict(this, e);\n  }, e.prototype.equal = function (e) {\n    return this.throwIfDisposed(), equal(this, e);\n  }, e.prototype.equalStrict = function (e) {\n    return this.throwIfDisposed(), equalStrict(this, e);\n  }, e.prototype.lessEqual = function (e) {\n    return this.throwIfDisposed(), lessEqual(this, e);\n  }, e.prototype.lessEqualStrict = function (e) {\n    return this.throwIfDisposed(), lessEqualStrict(this, e);\n  }, e.prototype.greater = function (e) {\n    return this.throwIfDisposed(), greater(this, e);\n  }, e.prototype.greaterStrict = function (e) {\n    return this.throwIfDisposed(), greaterStrict(this, e);\n  }, e.prototype.greaterEqual = function (e) {\n    return this.throwIfDisposed(), greaterEqual(this, e);\n  }, e.prototype.greaterEqualStrict = function (e) {\n    return this.throwIfDisposed(), greaterEqualStrict(this, e);\n  }, e.prototype.logicalAnd = function (e) {\n    return this.throwIfDisposed(), logicalAnd(this, e);\n  }, e.prototype.logicalOr = function (e) {\n    return this.throwIfDisposed(), logicalOr(this, e);\n  }, e.prototype.logicalNot = function () {\n    return this.throwIfDisposed(), logicalNot(this);\n  }, e.prototype.logicalXor = function (e) {\n    return this.throwIfDisposed(), logicalXor(this, e);\n  }, e.prototype.where = function (e, t) {\n    return this.throwIfDisposed(), where(e, this, t);\n  }, e.prototype.neg = function () {\n    return this.throwIfDisposed(), neg(this);\n  }, e.prototype.ceil = function () {\n    return this.throwIfDisposed(), ceil(this);\n  }, e.prototype.floor = function () {\n    return this.throwIfDisposed(), floor(this);\n  }, e.prototype.sign = function () {\n    return this.throwIfDisposed(), sign(this);\n  }, e.prototype.exp = function () {\n    return this.throwIfDisposed(), exp(this);\n  }, e.prototype.expm1 = function () {\n    return this.throwIfDisposed(), expm1(this);\n  }, e.prototype.log = function () {\n    return this.throwIfDisposed(), log(this);\n  }, e.prototype.log1p = function () {\n    return this.throwIfDisposed(), log1p(this);\n  }, e.prototype.sqrt = function () {\n    return this.throwIfDisposed(), sqrt(this);\n  }, e.prototype.rsqrt = function () {\n    return this.throwIfDisposed(), rsqrt(this);\n  }, e.prototype.square = function () {\n    return this.throwIfDisposed(), square(this);\n  }, e.prototype.reciprocal = function () {\n    return this.throwIfDisposed(), reciprocal(this);\n  }, e.prototype.abs = function () {\n    return this.throwIfDisposed(), abs(this);\n  }, e.prototype.clipByValue = function (e, t) {\n    return this.throwIfDisposed(), clipByValue(this, e, t);\n  }, e.prototype.relu = function () {\n    return this.throwIfDisposed(), relu(this);\n  }, e.prototype.elu = function () {\n    return this.throwIfDisposed(), elu(this);\n  }, e.prototype.selu = function () {\n    return this.throwIfDisposed(), selu(this);\n  }, e.prototype.leakyRelu = function (e) {\n    return void 0 === e && (e = .2), this.throwIfDisposed(), leakyRelu(this, e);\n  }, e.prototype.prelu = function (e) {\n    return this.throwIfDisposed(), prelu(this, e);\n  }, e.prototype.sigmoid = function () {\n    return this.throwIfDisposed(), sigmoid(this);\n  }, e.prototype.logSigmoid = function () {\n    return this.throwIfDisposed(), logSigmoid(this);\n  }, e.prototype.softplus = function () {\n    return this.throwIfDisposed(), softplus(this);\n  }, e.prototype.sin = function () {\n    return this.throwIfDisposed(), sin(this);\n  }, e.prototype.cos = function () {\n    return this.throwIfDisposed(), cos(this);\n  }, e.prototype.tan = function () {\n    return this.throwIfDisposed(), tan(this);\n  }, e.prototype.asin = function () {\n    return this.throwIfDisposed(), asin(this);\n  }, e.prototype.acos = function () {\n    return this.throwIfDisposed(), acos(this);\n  }, e.prototype.atan = function () {\n    return this.throwIfDisposed(), atan(this);\n  }, e.prototype.sinh = function () {\n    return this.throwIfDisposed(), sinh(this);\n  }, e.prototype.cosh = function () {\n    return this.throwIfDisposed(), cosh(this);\n  }, e.prototype.tanh = function () {\n    return this.throwIfDisposed(), tanh$1(this);\n  }, e.prototype.asinh = function () {\n    return this.throwIfDisposed(), asinh(this);\n  }, e.prototype.acosh = function () {\n    return this.throwIfDisposed(), acosh(this);\n  }, e.prototype.atanh = function () {\n    return this.throwIfDisposed(), atanh(this);\n  }, e.prototype.erf = function () {\n    return this.throwIfDisposed(), erf(this);\n  }, e.prototype.round = function () {\n    return this.throwIfDisposed(), round(this);\n  }, e.prototype.step = function (e) {\n    return void 0 === e && (e = 0), this.throwIfDisposed(), step(this, e);\n  }, e.prototype.softmax = function (e) {\n    return void 0 === e && (e = -1), this.throwIfDisposed(), softmax(this, e);\n  }, e.prototype.resizeBilinear = function (e, t) {\n    return void 0 === t && (t = !1), this.throwIfDisposed(), image.resizeBilinear(this, e, t);\n  }, e.prototype.resizeNearestNeighbor = function (e, t) {\n    return void 0 === t && (t = !1), this.throwIfDisposed(), image.resizeNearestNeighbor(this, e, t);\n  }, e.prototype.conv1d = function (e, t, n, r, a, o) {\n    return void 0 === r && (r = \"NWC\"), void 0 === a && (a = 1), this.throwIfDisposed(), conv1d(this, e, t, n, r, a, o);\n  }, e.prototype.conv2d = function (e, t, n, r, a, o) {\n    return void 0 === r && (r = \"NHWC\"), void 0 === a && (a = [1, 1]), this.throwIfDisposed(), conv2d(this, e, t, n, r, a, o);\n  }, e.prototype.conv2dTranspose = function (e, t, n, r, a) {\n    return this.throwIfDisposed(), conv2dTranspose(this, e, t, n, r, a);\n  }, e.prototype.depthwiseConv2D = function (e, t, n, r, a, o) {\n    return void 0 === r && (r = \"NHWC\"), void 0 === a && (a = [1, 1]), this.throwIfDisposed(), depthwiseConv2d(this, e, t, n, r, a, o);\n  }, e.prototype.avgPool = function (e, t, n, r) {\n    return this.throwIfDisposed(), avgPool(this, e, t, n, r);\n  }, e.prototype.maxPool = function (e, t, n, r) {\n    return this.throwIfDisposed(), maxPool(this, e, t, n, r);\n  }, e.prototype.localResponseNormalization = function (e, t, n, r) {\n    return void 0 === e && (e = 5), void 0 === t && (t = 1), void 0 === n && (n = 1), void 0 === r && (r = .5), localResponseNormalization(this, e, t, n, r);\n  }, e.prototype.variable = function (e, t, n) {\n    return void 0 === e && (e = !0), this.throwIfDisposed(), Variable.variable(this, e, t, n);\n  }, e.prototype.unsortedSegmentSum = function (e, t) {\n    return this.throwIfDisposed(), unsortedSegmentSum(this, e, t);\n  }, e.nextId = 0, __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"flatten\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"asScalar\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"as1D\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"as2D\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"as3D\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"as4D\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"asType\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"buffer\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"data\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"dataSync\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"dispose\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"toFloat\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"toInt\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"toBool\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"print\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"reshape\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"reshapeAs\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"expandDims\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"cumsum\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"squeeze\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"clone\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e.prototype, \"toString\", null), e = t = __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], e);var t;\n}(),\n    Variable = function (e) {\n  function t(t, r, a) {\n    void 0 === r && (r = !0);var o = e.call(this, t.shape, t.dtype, null, t.dataId) || this;return o.trainable = r, o.name = a, null == o.name && (o.name = n.nextVarId.toString(), n.nextVarId++), ENV.engine.registerVariable(o), o;\n  }return __extends(t, e), n = t, t.variable = function (e, t, r, a) {\n    return void 0 === t && (t = !0), null != a && a !== e.dtype && (e = e.asType(a)), new n(e, t, r);\n  }, t.prototype.assign = function (e) {\n    if (e.dtype !== this.dtype) throw new Error(\"dtype of the new value (\" + e.dtype + \") and previous value (\" + this.dtype + \") must match\");if (!arraysEqual(e.shape, this.shape)) throw new Error(\"shape of the new value (\" + e.shape + \") and previous value (\" + this.shape + \") must match\");ENV.engine.disposeTensor(this), this.dataId = e.dataId, ENV.engine.registerTensor(this);\n  }, t.nextVarId = 0, __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], t.prototype, \"assign\", null), __decorate([doc({ heading: \"Tensors\", subheading: \"Creation\" })], t, \"variable\", null), t = n = __decorate([doc({ heading: \"Tensors\", subheading: \"Classes\" })], t);var n;\n}(Tensor),\n    variable = Variable.variable;function computeStrides(e) {\n  var t = e.length;if (t < 2) return [];var n = new Array(t - 1);n[t - 2] = e[t - 1];for (var r = t - 3; r >= 0; --r) n[r] = n[r + 1] * e[r + 1];return n;\n}var Gradients = function () {\n  function e() {}return e.gradScope = function (e, t) {\n    return tidy(e, t, !0);\n  }, e.grad = function (e) {\n    return assert(isFunction(e), \"The f passed in grad(f) must be a function\"), function (t, n) {\n      return assert(t instanceof Tensor, \"The x passed in grad(f)(x) must be a tensor\"), assert(null == n || n instanceof Tensor, \"The dy passed in grad(f)(x, dy) must be a tensor\"), tidy(function () {\n        var r = ENV.engine.gradients(function () {\n          return e(t);\n        }, [t], n),\n            a = r.value,\n            o = r.grads;return null != n && assertShapesMatch(a.shape, n.shape, \"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"), checkGrads(o), o[0];\n      });\n    };\n  }, e.grads = function (e) {\n    return assert(isFunction(e), \"The f passed in grads(f) must be a function\"), function (t, n) {\n      return assert(Array.isArray(t) && t.every(function (e) {\n        return e instanceof Tensor;\n      }), \"The args passed in grads(f)(args) must be an array of tensors\"), assert(null == n || n instanceof Tensor, \"The dy passed in grads(f)(args, dy) must be a tensor\"), tidy(function () {\n        var r = ENV.engine.gradients(function () {\n          return e.apply(void 0, t);\n        }, t, n),\n            a = r.value,\n            o = r.grads;return null != n && assertShapesMatch(a.shape, n.shape, \"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"), checkGrads(o), o;\n      });\n    };\n  }, e.valueAndGrad = function (e) {\n    return assert(isFunction(e), \"The f passed in valueAndGrad(f) must be a function\"), function (t, n) {\n      assert(t instanceof Tensor, \"The x passed in valueAndGrad(f)(x) must be a tensor\"), assert(null == n || n instanceof Tensor, \"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var r = ENV.engine.gradients(function () {\n        return e(t);\n      }, [t], n),\n          a = r.grads,\n          o = r.value;return checkGrads(a), { grad: a[0], value: o };\n    };\n  }, e.valueAndGrads = function (e) {\n    return assert(isFunction(e), \"The f passed in valueAndGrads(f) must be a function\"), function (t, n) {\n      assert(Array.isArray(t) && t.every(function (e) {\n        return e instanceof Tensor;\n      }), \"The args passed in valueAndGrads(f)(args) must be array of tensors\"), assert(null == n || n instanceof Tensor, \"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var r = ENV.engine.gradients(function () {\n        return e.apply(void 0, t);\n      }, t, n);return null != n && assertShapesMatch(r.value.shape, n.shape, \"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"), checkGrads(r.grads), r;\n    };\n  }, e.variableGrads = function (e, t) {\n    if (assert(isFunction(e), \"The f passed in variableGrads(f) must be a function\"), assert(null == t || Array.isArray(t) && t.every(function (e) {\n      return e instanceof Variable;\n    }), \"The varList passed in variableGrads(f, varList) must be an array of variables\"), null == t) for (var n in t = [], ENV.engine.registeredVariables) t.push(ENV.engine.registeredVariables[n]);var r = t.length;assert((t = t.filter(function (e) {\n      return e.trainable;\n    })).length > 0, \"variableGrads() expects at least one of the input variables to be trainable, but none of the \" + r + \" variables is trainable.\");var a = ENV.engine.gradients(e, t, null, !0),\n        o = a.value,\n        i = a.grads;assert(i.some(function (e) {\n      return null != e;\n    }), \"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"), assert(0 === o.rank, \"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\" + o.rank + \" tensor\");var s = {};return t.forEach(function (e, t) {\n      null != i[t] && (s[e.name] = i[t]);\n    }), { value: o, grads: s };\n  }, e.customGrad = function (e) {\n    return ENV.engine.customGrad(e);\n  }, __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"grad\", null), __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"grads\", null), __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"valueAndGrad\", null), __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"valueAndGrads\", null), __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"variableGrads\", null), __decorate([doc({ heading: \"Training\", subheading: \"Gradients\" })], e, \"customGrad\", null), e;\n}();function checkGrads(e) {\n  if (e.filter(function (e) {\n    return null == e;\n  }).length > 0) throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\");\n}var tidy = Tracking.tidy,\n    keep = Tracking.keep,\n    dispose = Tracking.dispose,\n    time = Tracking.time,\n    grad = Gradients.grad,\n    valueAndGrad = Gradients.valueAndGrad,\n    grads = Gradients.grads,\n    valueAndGrads = Gradients.valueAndGrads,\n    variableGrads = Gradients.variableGrads,\n    customGrad = Gradients.customGrad,\n    Profiler = function () {\n  function e(e, t) {\n    this.backendTimer = e, this.logger = t, null == t && (this.logger = new Logger());\n  }return e.prototype.profileKernel = function (e, t) {\n    var n,\n        r = this,\n        a = this.backendTimer.time(function () {\n      n = t();\n    }),\n        o = n.dataSync();return checkForNaN(o, n.dtype, e), a.then(function (t) {\n      r.logger.logKernelProfile(e, n, o, t.kernelMs);\n    }), n;\n  }, e;\n}(),\n    Logger = function () {\n  function e() {}return e.prototype.logKernelProfile = function (e, t, n, r) {\n    var a = rightPad(r + \"ms\", 9),\n        o = rightPad(e, 25),\n        i = t.rank,\n        s = t.size,\n        u = rightPad(t.shape.toString(), 14);console.log(\"%c\" + o + \"\\t%c\" + a + \"\\t%c\" + i + \"D \" + u + \"\\t%c\" + s, \"font-weight:bold\", \"color:red\", \"color:blue\", \"color: orange\");\n  }, e;\n}();function getFilteredNodesXToY(e, t, n) {\n  for (var r = {}, a = {}, o = 0; o < t.length; o++) r[t[o].id] = !0;for (o = 0; o < e.length; o++) {\n    var i = (g = e[o]).inputs;for (var s in i) {\n      for (var u = i[s], l = !1, c = 0; c < t.length; c++) if (r[u.id]) {\n        r[g.output.id] = !0, l = !0, a[g.id] = !0;break;\n      }if (l) break;\n    }\n  }var d = {};d[n.id] = !0;var p = {};for (o = e.length - 1; o >= 0; o--) {\n    i = (g = e[o]).inputs;var h = [];h.push(g.output);for (c = 0; c < h.length; c++) if (d[h[c].id]) {\n      for (var s in i) d[i[s].id] = !0, p[g.id] = !0;break;\n    }\n  }var f = [];for (o = 0; o < e.length; o++) {\n    var g;if (a[(g = e[o]).id] && p[g.id]) {\n      var m = {};for (var s in g.inputs) {\n        var v = g.inputs[s];r[v.id] && (m[s] = v);\n      }var y = Object.assign({}, g);y.inputs = m, y.output = g.output, f.push(y);\n    }\n  }return f;\n}function backpropagateGradients(e, t) {\n  for (var n = t.length - 1; n >= 0; n--) {\n    var r = t[n],\n        a = e[r.output.id];if (null == r.gradient) throw new Error(\"Cannot compute gradient: gradient function not found for \" + r.name + \".\");var o = r.gradient(a);for (var i in r.inputs) {\n      if (!(i in o)) throw new Error(\"Cannot backprop through input \" + i + \". Available gradients found: \" + Object.keys(o) + \".\");var s = o[i](),\n          u = r.inputs[i];if (!arraysEqual(s.shape, u.shape)) throw new Error(\"Error in gradient for op \" + r.name + \". The gradient of input '\" + i + \"' has shape '\" + s.shape + \"', which does not match the shape of the input '\" + u.shape + \"'\");if (null == e[u.id]) e[u.id] = s;else {\n        var l = e[u.id];e[u.id] = l.add(s), l.dispose();\n      }\n    }\n  }\n}var Type,\n    Engine = function () {\n  function e(e, t) {\n    this.backend = e, this.safeMode = t, this.registeredVariables = {}, this.refCounter = new WeakMap(), this.nextTapeNodeId = 0, this.numBytes = 0, this.numTensors = 0, this.numDataBuffers = 0, this.gradientScopeCount = 0, this.customGradientDepth = 0, this.keepTensors = new Set(), this.activeScope = { track: [] }, this.scopeStack = [this.activeScope], this.profiler = new Profiler(e);\n  }return e.prototype.runKernel = function (e, t, n) {\n    var r,\n        a = this,\n        o = [],\n        i = function (e) {\n      return o.push(e), e;\n    },\n        s = this.activeScope.name;if (this.customGradientDepth++, r = ENV.get(\"DEBUG\") ? this.profiler.profileKernel(s, function () {\n      return e(a.backend, i);\n    }) : e(this.backend, i), this.customGradientDepth--, this.shouldRecord()) {\n      var u = { id: this.nextTapeNodeId++, name: s, inputs: t, output: r };null != n && (u.gradient = function (e) {\n        return n(e, o);\n      }), this.activeTape.push(u);\n    }return r;\n  }, e.prototype.registerTensor = function (e) {\n    var t = this.refCounter.has(e.dataId) ? this.refCounter.get(e.dataId) : 0;this.numTensors++, 0 === t && (this.numDataBuffers++, this.numBytes += sizeFromShape(e.shape) * bytesPerElement(e.dtype), this.backend.register(e.dataId, e.shape, e.dtype)), this.refCounter.set(e.dataId, t + 1), e instanceof Variable || this.track(e);\n  }, e.prototype.registerVariable = function (e) {\n    if (null != this.registeredVariables[e.name]) throw new Error(\"Variable with name \" + e.name + \" was already registered\");this.registeredVariables[e.name] = e;\n  }, e.prototype.disposeTensor = function (e) {\n    if (this.refCounter.has(e.dataId)) {\n      this.keepTensors.has(e.id) && this.keepTensors.delete(e.id), this.numTensors--;var t = this.refCounter.get(e.dataId);t <= 1 ? (this.refCounter.delete(e.dataId), this.backend.disposeData(e.dataId), this.numDataBuffers--, this.numBytes -= sizeFromShape(e.shape) * bytesPerElement(e.dtype)) : this.refCounter.set(e.dataId, t - 1);\n    }\n  }, e.prototype.disposeVariables = function () {\n    for (var e in this.registeredVariables) {\n      var t = this.registeredVariables[e];this.disposeTensor(t), delete this.registeredVariables[e];\n    }\n  }, e.prototype.memory = function () {\n    var e = this.backend.memory();return e.numTensors = this.numTensors, e.numDataBuffers = this.numDataBuffers, e.numBytes = this.numBytes, e;\n  }, e.prototype.shouldRecord = function () {\n    return null != this.activeTape && 0 === this.customGradientDepth;\n  }, e.prototype.addTapeNode = function (e, t, n) {\n    var r = {};e.forEach(function (e, t) {\n      r[t] = e;\n    });var a = { id: this.nextTapeNodeId++, name: this.activeScope.name, inputs: r, output: t, gradient: function (e) {\n        var t = {};return n(e).forEach(function (e, n) {\n          t[n] = function () {\n            return e;\n          };\n        }), t;\n      } };this.activeTape.push(a);\n  }, e.prototype.keep = function (e) {\n    if (1 === this.scopeStack.length && ENV.engine.safeMode) throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id), e;\n  }, e.prototype.startScope = function (e, t) {\n    void 0 === t && (t = !1), t && 0 === this.gradientScopeCount && (this.activeTape = []), t && this.gradientScopeCount++;var n = { track: [] };e && (n.name = e), this.scopeStack.push(n), this.activeScope = n;\n  }, e.prototype.endScope = function (e, t) {\n    var n = this;void 0 === t && (t = !1), t && (this.gradientScopeCount--, 0 === this.gradientScopeCount && (this.activeTape = null));var r = new Set(this.keepTensors),\n        a = getTensorsInContainer(e);a.forEach(function (e) {\n      return r.add(e.id);\n    });for (var o = 0; o < this.activeScope.track.length; o++) {\n      var i = this.activeScope.track[o];r.has(i.id) || (null != this.activeTape ? a.push(i) : i.dispose());\n    }var s = this.scopeStack.pop();this.activeScope = 0 === this.scopeStack.length ? { track: [] } : this.scopeStack[this.scopeStack.length - 1], a.forEach(function (e) {\n      !n.keepTensors.has(e.id) && isTensorInList(e, s.track) && n.track(e);\n    });\n  }, e.prototype.gradients = function (e, t, n, r) {\n    var a = this;return void 0 === r && (r = !1), assert(t.length > 0, \"gradients() received an empty list of xs.\"), tidy(\"gradients\", function () {\n      var o = e();assert(o instanceof Tensor, \"The result y returned by f() must be a tensor.\");var i = getFilteredNodesXToY(a.activeTape, t, o);if (!r && 0 === i.length && t.length > 0) throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s = {};return s[o.id] = null == n ? ones(o.shape) : n, backpropagateGradients(s, i), { value: o, grads: t.map(function (e) {\n          return s[e.id];\n        }) };\n    }, !0);\n  }, e.prototype.customGrad = function (e) {\n    var t = this;return assert(isFunction(e), \"The f passed in customGrad(f) must be a function.\"), function () {\n      for (var n, r = [], a = 0; a < arguments.length; a++) r[a] = arguments[a];assert(r.every(function (e) {\n        return e instanceof Tensor;\n      }), \"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"), t.customGradientDepth++;var o = tidy(e.name, function () {\n        var t = e.apply(void 0, r),\n            a = t.value,\n            o = t.gradFunc;return assert(a instanceof Tensor, \"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"), assert(isFunction(o), \"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"), n = o, a;\n      }, !0);if (t.customGradientDepth--, t.shouldRecord()) {\n        t.addTapeNode(r, o, function (e) {\n          var t = n(e),\n              a = Array.isArray(t) ? t : [t];return assert(a.length === r.length, \"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"), assert(a.every(function (e) {\n            return e instanceof Tensor;\n          }), \"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"), a;\n        });\n      }return o;\n    };\n  }, e.prototype.write = function (e, t) {\n    this.backend.write(e, t);\n  }, e.prototype.readSync = function (e) {\n    return this.backend.readSync(e);\n  }, e.prototype.read = function (e) {\n    return this.backend.read(e);\n  }, e.prototype.fromPixels = function (e, t) {\n    return this.backend.fromPixels(e, t);\n  }, e.prototype.time = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n;return __generator(this, function (r) {\n        switch (r.label) {case 0:\n            return t = performance.now(), [4, this.backend.time(e)];case 1:\n            return (n = r.sent()).wallMs = performance.now() - t, [2, n];}\n      });\n    });\n  }, e.prototype.track = function (e) {\n    if (1 === this.scopeStack.length && this.safeMode) throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e), e;\n  }, e;\n}();!function (e) {\n  e[e.NUMBER = 0] = \"NUMBER\", e[e.BOOLEAN = 1] = \"BOOLEAN\", e[e.STRING = 2] = \"STRING\";\n}(Type || (Type = {}));var URL_PROPERTIES = [{ name: \"DEBUG\", type: Type.BOOLEAN }, { name: \"IS_BROWSER\", type: Type.BOOLEAN }, { name: \"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\", type: Type.NUMBER }, { name: \"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\", type: Type.BOOLEAN }, { name: \"WEBGL_VERSION\", type: Type.NUMBER }, { name: \"WEBGL_RENDER_FLOAT32_ENABLED\", type: Type.BOOLEAN }, { name: \"WEBGL_DOWNLOAD_FLOAT_ENABLED\", type: Type.BOOLEAN }, { name: \"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\", type: Type.BOOLEAN }, { name: \"BACKEND\", type: Type.STRING }],\n    TEST_EPSILON_FLOAT32_ENABLED = .001,\n    TEST_EPSILON_FLOAT32_DISABLED = .1;function hasExtension(e, t) {\n  return null != e.getExtension(t);\n}function getWebGLRenderingContext(e) {\n  if (0 === e || !ENV.get(\"IS_BROWSER\")) throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");var t = document.createElement(\"canvas\");return 1 === e ? t.getContext(\"webgl\") || t.getContext(\"experimental-webgl\") : t.getContext(\"webgl2\");\n}function loseContext(e) {\n  if (null != e) {\n    var t = e.getExtension(\"WEBGL_lose_context\");if (null == t) throw new Error(\"Extension WEBGL_lose_context not supported on this browser.\");t.loseContext();\n  }\n}function isWebGLVersionEnabled(e) {\n  var t;try {\n    t = getWebGLRenderingContext(e);\n  } catch (e) {\n    return !1;\n  }return null != t && (loseContext(t), !0);\n}function getWebGLDisjointQueryTimerVersion(e) {\n  if (0 === e) return 0;var t,\n      n = getWebGLRenderingContext(e);return t = hasExtension(n, \"EXT_disjoint_timer_query_webgl2\") && 2 === e ? 2 : hasExtension(n, \"EXT_disjoint_timer_query\") ? 1 : 0, null != n && loseContext(n), t;\n}function createFloatTextureAndBindToFramebuffer(e, t) {\n  var n = e.createFramebuffer(),\n      r = e.createTexture();e.bindTexture(e.TEXTURE_2D, r);var a = 2 === t ? e.RGBA32F : e.RGBA;e.texImage2D(e.TEXTURE_2D, 0, a, 1, 1, 0, e.RGBA, e.FLOAT, null), e.bindFramebuffer(e.FRAMEBUFFER, n), e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, r, 0);\n}function isRenderToFloatTextureEnabled(e) {\n  if (0 === e) return !1;var t = getWebGLRenderingContext(e);if (1 === e) {\n    if (!hasExtension(t, \"OES_texture_float\")) return !1;\n  } else if (!hasExtension(t, \"EXT_color_buffer_float\")) return !1;createFloatTextureAndBindToFramebuffer(t, e);var n = t.checkFramebufferStatus(t.FRAMEBUFFER) === t.FRAMEBUFFER_COMPLETE;return loseContext(t), n;\n}function isDownloadFloatTextureEnabled(e) {\n  if (0 === e) return !1;var t = getWebGLRenderingContext(e);if (1 === e) {\n    if (!hasExtension(t, \"OES_texture_float\")) return !1;\n  } else if (!hasExtension(t, \"EXT_color_buffer_float\")) return !1;createFloatTextureAndBindToFramebuffer(t, e), t.readPixels(0, 0, 1, 1, t.RGBA, t.FLOAT, new Float32Array(4));var n = t.getError() === t.NO_ERROR;return loseContext(t), n;\n}function isWebGLGetBufferSubDataAsyncExtensionEnabled(e) {\n  if (e > 0) return !1;if (2 !== e) return !1;var t = getWebGLRenderingContext(e),\n      n = hasExtension(t, \"WEBGL_get_buffer_sub_data_async\");return loseContext(t), n;\n}function isChrome() {\n  return null != navigator && null != navigator.userAgent && /Chrome/.test(navigator.userAgent) && /Google Inc/.test(navigator.vendor);\n}var Environment = function () {\n  function e(e) {\n    this.features = {}, this.registry = {}, null != e && (this.features = e), this.get(\"DEBUG\") && console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\");\n  }return e.setBackend = function (e, t) {\n    if (void 0 === t && (t = !1), !(e in ENV.registry)) throw new Error(\"Backend type '\" + e + \"' not found in registry\");ENV.initBackend(e, t);\n  }, e.getBackend = function () {\n    return ENV.initDefaultBackend(), ENV.currentBackend;\n  }, e.disposeVariables = function () {\n    ENV.engine.disposeVariables();\n  }, e.memory = function () {\n    return ENV.engine.memory();\n  }, e.prototype.get = function (e) {\n    return e in this.features ? this.features[e] : (this.features[e] = this.evaluateFeature(e), this.features[e]);\n  }, e.prototype.getFeatures = function () {\n    return this.features;\n  }, e.prototype.set = function (e, t) {\n    this.features[e] = t;\n  }, e.prototype.getBestBackendType = function () {\n    var e = this;if (0 === Object.keys(this.registry).length) throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function (t) {\n      return { name: t, entry: e.registry[t] };\n    }).sort(function (e, t) {\n      return t.entry.priority - e.entry.priority;\n    })[0].name;\n  }, e.prototype.evaluateFeature = function (e) {\n    if (\"DEBUG\" === e) return !1;if (\"IS_BROWSER\" === e) return \"undefined\" != typeof window;if (\"IS_NODE\" === e) return \"undefined\" != typeof process && void 0 !== process.versions.node;if (\"IS_CHROME\" === e) return isChrome();if (\"BACKEND\" === e) return this.getBestBackendType();if (\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\" === e) {\n      var t = this.get(\"WEBGL_VERSION\");return 0 === t ? 0 : getWebGLDisjointQueryTimerVersion(t);\n    }if (\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\" === e) return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") > 0 && !isMobile();if (\"WEBGL_VERSION\" === e) return isWebGLVersionEnabled(2) ? 2 : isWebGLVersionEnabled(1) ? 1 : 0;if (\"WEBGL_RENDER_FLOAT32_ENABLED\" === e) return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if (\"WEBGL_DOWNLOAD_FLOAT_ENABLED\" === e) return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if (\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\" === e) return isWebGLGetBufferSubDataAsyncExtensionEnabled(this.get(\"WEBGL_VERSION\"));if (\"TEST_EPSILON\" === e) return this.get(\"WEBGL_RENDER_FLOAT32_ENABLED\") ? TEST_EPSILON_FLOAT32_ENABLED : TEST_EPSILON_FLOAT32_DISABLED;throw new Error(\"Unknown feature \" + e + \".\");\n  }, e.prototype.setFeatures = function (e) {\n    this.features = e;\n  }, e.prototype.reset = function () {\n    this.features = getFeaturesFromURL(), null != this.globalEngine && (this.globalEngine = null);\n  }, e.prototype.initBackend = function (e, t) {\n    void 0 === t && (t = !1), this.currentBackend = e;var n = ENV.findBackend(e);this.globalEngine = new Engine(n, t);\n  }, e.prototype.findBackend = function (e) {\n    return e in this.registry ? this.registry[e].backend : null;\n  }, e.prototype.registerBackend = function (e, t, n) {\n    void 0 === n && (n = 1), e in this.registry && console.warn(e + \" backend was already registered\");try {\n      var r = t();return this.registry[e] = { backend: r, priority: n }, !0;\n    } catch (t) {\n      return console.warn(\"Registration of backend \" + e + \" failed\"), console.warn(t.stack || t.message), !1;\n    }\n  }, e.prototype.removeBackend = function (e) {\n    if (!(e in this.registry)) throw new Error(e + \" backend not found in registry\");this.registry[e].backend.dispose(), delete this.registry[e];\n  }, Object.defineProperty(e.prototype, \"engine\", { get: function () {\n      return this.initDefaultBackend(), this.globalEngine;\n    }, enumerable: !0, configurable: !0 }), e.prototype.initDefaultBackend = function () {\n    null == this.globalEngine && this.initBackend(ENV.get(\"BACKEND\"), !1);\n  }, __decorate([doc({ heading: \"Environment\" })], e, \"setBackend\", null), __decorate([doc({ heading: \"Environment\" })], e, \"getBackend\", null), __decorate([doc({ heading: \"Environment\" })], e, \"disposeVariables\", null), __decorate([doc({ heading: \"Performance\", subheading: \"Memory\" })], e, \"memory\", null), e;\n}(),\n    TENSORFLOWJS_FLAGS_PREFIX = \"tfjsflags\";function getFeaturesFromURL() {\n  var e = {};if (\"undefined\" == typeof window || void 0 === window.location) return e;var t = getQueryParams(window.location.search);if (TENSORFLOWJS_FLAGS_PREFIX in t) {\n    var n = {};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function (e) {\n      var t = e.split(\":\"),\n          r = t[0],\n          a = t[1];n[r] = a;\n    }), URL_PROPERTIES.forEach(function (t) {\n      t.name in n && (console.log(\"Setting feature override from URL \" + t.name + \": \" + n[t.name]), t.type === Type.NUMBER ? e[t.name] = +n[t.name] : t.type === Type.BOOLEAN ? e[t.name] = \"true\" === n[t.name] : t.type === Type.STRING ? e[t.name] = n[t.name] : console.warn(\"Unknown URL param: \" + t.name + \".\"));\n    });\n  }return e;\n}function getGlobalNamespace() {\n  var e;if (\"undefined\" != typeof window) e = window;else {\n    if (\"undefined\" == typeof global) throw new Error(\"Could not find a global object\");e = global;\n  }return e;\n}function getOrMakeEnvironment() {\n  var e = getGlobalNamespace();return e.ENV = e.ENV || new Environment(getFeaturesFromURL()), e.ENV;\n}var ENV = getOrMakeEnvironment(),\n    environment = Object.freeze({ get Type() {\n    return Type;\n  }, URL_PROPERTIES: URL_PROPERTIES, Environment: Environment, ENV: ENV }),\n    PARALLELIZE_THRESHOLD = 30;function computeOptimalWindowSize(e) {\n  return e <= PARALLELIZE_THRESHOLD ? e : nearestDivisor(e, Math.floor(Math.sqrt(e)));\n}function segOpComputeOptimalWindowSize(e, t) {\n  var n,\n      r = !1;for (e <= PARALLELIZE_THRESHOLD ? (n = e, r = !0) : n = nearestDivisor(e, Math.floor(Math.sqrt(e))); !r;) {\n    if (n > t || n === e) {\n      r = !0;break;\n    }n = nearestDivisor(e, n + 1);\n  }return n;\n}function computeOutShape$1(e, t, n) {\n  for (var r = [], a = e.length, o = 0; o < a; o++) o !== t ? r.push(e[o]) : r.push(n);return r;\n}function castTensor(e, t, n) {\n  if (!hasEncodingLoss(e.dtype, t)) return Tensor.make(e.shape, { dataId: e.dataId }, t);if (\"int32\" === t) return n.int(e);if (\"bool\" === t) return n.notEqual(e, ArrayOps.scalar(0, e.dtype));throw new Error(\"Error in Cast: unknown dtype argument (\" + t + \")\");\n}function reshapeTensor(e, t) {\n  return Tensor.make(t, { dataId: e.dataId }, e.dtype);\n}var ArgMinMaxProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"A\"];var r = e.windowSize,\n        a = e.batchSize,\n        o = e.inSize,\n        i = Math.ceil(o / r);n || this.variableNames.push(\"bestIndicesA\"), this.outputShape = [a, i];var s = \"max\" === t ? \">\" : \"<\",\n        u = n ? \"inOffset + i;\" : \"round(getBestIndicesA(batch, inOffset + i));\";this.userCode = \"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \" + r + \";\\n\\n        int bestIndex = 0;\\n        float bestValue = getA(batch, inOffset);\\n\\n        for (int i = 0; i < \" + r + \"; i++) {\\n          int inIdx = \" + u + \";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \" + s + \" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \";\n  };\n}(),\n    AvgPool2DBackpropProgram = function () {\n  return function (e) {\n    this.variableNames = [\"dy\"], this.outputShape = e.inShape;var t = e.filterHeight,\n        n = e.filterWidth,\n        r = e.strideHeight,\n        a = e.strideWidth,\n        o = t - 1 - e.padInfo.top,\n        i = n - 1 - e.padInfo.left,\n        s = 1 / (t * n);this.userCode = \"\\n      const ivec2 pads = ivec2(\" + o + \", \" + i + \");\\n      const float avgMultiplier = float(\" + s + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \" + t + \"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \" + r + \".0;\\n\\n          if (dyR < 0.0 || dyR >= \" + e.outHeight + \".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \" + n + \"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \" + a + \".0;\\n\\n            if (dyC < 0.0 || dyC >= \" + e.outWidth + \".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    BatchNormProgram = function () {\n  return function (e, t, n, r, a, o) {\n    this.outputShape = [], this.supportsBroadcasting = !0, this.variableNames = [\"x\", \"mean\", \"variance\"], assertAndGetBroadcastShape(e, t), assertAndGetBroadcastShape(e, n);var i = \"0.0\";null != r && (assertAndGetBroadcastShape(e, r), this.variableNames.push(\"offset\"), i = \"getOffsetAtOutCoords()\");var s = \"1.0\";null != a && (assertAndGetBroadcastShape(e, a), this.variableNames.push(\"scale\"), s = \"getScaleAtOutCoords()\"), this.outputShape = e, this.userCode = \"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \" + i + \";\\n        float scale = \" + s + \";\\n        float inv = scale * inversesqrt(variance + float(\" + o + \"));\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \";\n  };\n}(),\n    CHECK_NAN_SNIPPET = \"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",\n    ADD = \"return a + b;\",\n    SUB = \"return a - b;\",\n    MUL = \"return a * b;\",\n    DIV = \"return a / b;\",\n    INT_DIV = \"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",\n    POW = \"\\n  return (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",\n    SQUARED_DIFFERENCE = \"return (a - b) * (a - b);\",\n    EQUAL = \"return float(a == b);\",\n    NOT_EQUAL = \"return float(a != b);\",\n    LESS = \"return float(a < b);\",\n    LESS_EQUAL = \"return float(a <= b);\",\n    GREATER = \"return float(a > b);\",\n    GREATER_EQUAL = \"return float(a >= b);\",\n    LOGICAL_AND = \"return float(a >= 1.0 && b >= 1.0);\",\n    LOGICAL_OR = \"return float(a >= 1.0 || b >= 1.0);\",\n    MAX = CHECK_NAN_SNIPPET + \"\\n  return max(a, b);\\n\",\n    MIN = CHECK_NAN_SNIPPET + \"\\n  return min(a, b);\\n\",\n    MOD = \"return mod(a, b);\",\n    ATAN2 = CHECK_NAN_SNIPPET + \"\\n  return atan(a, b);\\n\",\n    ELU_DER = \"return (b >= 1.0) ? a : a * (b + 1.0);\",\n    BinaryOpProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"A\", \"B\"], this.supportsBroadcasting = !0, this.outputShape = assertAndGetBroadcastShape(t, n), this.userCode = \"\\n      float binaryOperation(float a, float b) {\\n        \" + e + \"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \";\n  };\n}(),\n    ClipProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"A\"], this.outputShape = e;var r = t.toFixed(20),\n        a = n.toFixed(20);this.userCode = \"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, \" + r + \", \" + a + \"));\\n      }\\n    \";\n  };\n}(),\n    ConcatProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"A\", \"B\"], this.outputShape = [], this.outputShape = computeOutShape(e, t, 1), this.userCode = \"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \" + e[1] + \") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \" + e[1] + \";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \";\n  };\n}(),\n    Conv2DDerFilterProgram = function () {\n  return function (e) {\n    this.variableNames = [\"x\", \"dy\"], this.outputShape = e.filterShape;var t = e.strideHeight,\n        n = e.strideWidth,\n        r = e.padInfo.top,\n        a = e.padInfo.left;this.userCode = \"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \" + e.batchSize + \"; b++) {\\n          for (int yR = 0; yR < \" + e.outHeight + \"; yR++) {\\n            int xR = wR + yR * \" + t + \" - \" + r + \";\\n\\n            if (xR < 0 || xR >= \" + e.inHeight + \") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \" + e.outWidth + \"; yC++) {\\n              int xC = wC + yC * \" + n + \" - \" + a + \";\\n\\n              if (xC < 0 || xC >= \" + e.inWidth + \") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    Conv2DDerInputProgram = function () {\n  return function (e) {\n    this.variableNames = [\"dy\", \"W\"], this.outputShape = e.inShape;var t = e.filterHeight,\n        n = e.filterWidth,\n        r = e.strideHeight,\n        a = e.strideWidth,\n        o = t - 1 - e.padInfo.top,\n        i = n - 1 - e.padInfo.left;this.userCode = \"\\n      const ivec2 pads = ivec2(\" + o + \", \" + i + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \" + t + \"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \" + r + \".0;\\n\\n          if (dyR < 0.0 || dyR >= \" + e.outHeight + \".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \" + t + \" - 1 - wR;\\n\\n          for (int wC = 0; wC < \" + n + \"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \" + a + \".0;\\n\\n            if (dyC < 0.0 || dyC >= \" + e.outWidth + \".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \" + n + \" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \" + e.outChannels + \"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    DepthwiseConv2DDerFilterProgram = function () {\n  return function (e) {\n    this.variableNames = [\"x\", \"dy\"], this.outputShape = e.filterShape;var t = e.strideHeight,\n        n = e.strideWidth,\n        r = e.padInfo.top,\n        a = e.padInfo.left,\n        o = e.outChannels / e.inChannels;this.userCode = \"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \" + o + \" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \" + e.batchSize + \"; b++) {\\n          for (int yR = 0; yR < \" + e.outHeight + \"; yR++) {\\n            int xR = wR + yR * \" + t + \" - \" + r + \";\\n\\n            if (xR < 0 || xR >= \" + e.inHeight + \") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \" + e.outWidth + \"; yC++) {\\n              int xC = wC + yC * \" + n + \" - \" + a + \";\\n\\n              if (xC < 0 || xC >= \" + e.inWidth + \") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    DepthwiseConv2DDerInputProgram = function () {\n  return function (e) {\n    this.variableNames = [\"dy\", \"W\"], this.outputShape = e.inShape;var t = e.filterHeight,\n        n = e.filterWidth,\n        r = e.strideHeight,\n        a = e.strideWidth,\n        o = t - 1 - e.padInfo.top,\n        i = n - 1 - e.padInfo.left,\n        s = e.outChannels / e.inChannels;this.userCode = \"\\n      const ivec2 pads = ivec2(\" + o + \", \" + i + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \" + t + \"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \" + r + \".0;\\n\\n          if (dyR < 0.0 || dyR >= \" + e.outHeight + \".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \" + t + \" - 1 - wR;\\n\\n          for (int wC = 0; wC < \" + n + \"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \" + a + \".0;\\n\\n            if (dyC < 0.0 || dyC >= \" + e.outWidth + \".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \" + n + \" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \" + s + \"; dm++) {\\n              int d2 = d1 * \" + s + \" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    Conv2DProgram = function () {\n  return function (e) {\n    this.variableNames = [\"x\", \"W\"], this.outputShape = e.outShape;var t = e.padInfo.top,\n        n = e.padInfo.left,\n        r = e.strideHeight,\n        a = e.strideWidth,\n        o = e.dilationHeight,\n        i = e.dilationWidth,\n        s = e.filterHeight,\n        u = e.filterWidth,\n        l = 4 * Math.floor(e.inChannels / 4),\n        c = e.inChannels % 4;this.userCode = \"\\n      const ivec2 strides = ivec2(\" + r + \", \" + a + \");\\n      const ivec2 pads = ivec2(\" + t + \", \" + n + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \" + s + \"; wR++) {\\n          int xR = xRCorner + wR * \" + o + \";\\n\\n          if (xR < 0 || xR >= \" + e.inHeight + \") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \" + u + \"; wC++) {\\n            int xC = xCCorner + wC * \" + i + \";\\n\\n            if (xC < 0 || xC >= \" + e.inWidth + \") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \" + l + \"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\" + (1 === c) + \") {\\n              dotProd +=\\n                getX(batch, xR, xC, \" + l + \") *\\n                getW(wR, wC, \" + l + \", d2);\\n            } else if (\" + (2 === c) + \") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \" + l + \"),\\n                getX(batch, xR, xC, \" + l + \" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \" + l + \", d2),\\n                getW(wR, wC, \" + l + \" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\" + (3 === c) + \") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \" + l + \"),\\n                getX(batch, xR, xC, \" + l + \" + 1),\\n                getX(batch, xR, xC, \" + l + \" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \" + l + \", d2),\\n                getW(wR, wC, \" + l + \" + 1, d2),\\n                getW(wR, wC, \" + l + \" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    DepthwiseConv2DProgram = function () {\n  return function (e) {\n    this.variableNames = [\"x\", \"W\"], this.outputShape = e.outShape;var t = e.inHeight,\n        n = e.inWidth,\n        r = e.padInfo.top,\n        a = e.padInfo.left,\n        o = e.strideHeight,\n        i = e.strideWidth,\n        s = e.dilationHeight,\n        u = e.dilationWidth,\n        l = e.filterHeight,\n        c = e.filterWidth,\n        d = e.outChannels / e.inChannels;this.userCode = \"\\n      const ivec2 strides = ivec2(\" + o + \", \" + i + \");\\n      const ivec2 pads = ivec2(\" + r + \", \" + a + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \" + d + \";\\n        int q = d2 - d1 * \" + d + \";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \" + l + \"; wR++) {\\n          int xR = xRCorner + wR * \" + s + \";\\n\\n          if (xR < 0 || xR >= \" + t + \") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \" + c + \"; wC++) {\\n            int xC = xCCorner + wC * \" + u + \";\\n\\n            if (xC < 0 || xC >= \" + n + \") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}();function makeShader(e, t, n, r) {\n  var a = e.map(function (e) {\n    var t = sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform ? \"uniform float \" + e.name + (t > 1 ? \"[\" + t + \"]\" : \"\") + \";\" : \"uniform sampler2D \" + e.name + \";\";\n  });a = a.join(\"\\n\");var o = e.map(function (e) {\n    return getInputSamplingSnippet(e, t, r);\n  }).join(\"\\n\"),\n      i = t.texShape,\n      s = getOutputSamplingSnippet(t.logicalShape, i);return [SHADER_PREFIX, FLOAT_TEXTURE_SAMPLE_SNIPPET, FLOAT_TEXTURE_SETOUTPUT_SNIPPET, a, s, o, n].join(\"\\n\");\n}function getSamplerFromInInfo(e) {\n  var t = e.shapeInfo.logicalShape;switch (t.length) {case 0:\n      return getSamplerScalar(e);case 1:\n      return getSampler1D(e);case 2:\n      return getSampler2D(e);case 3:\n      return getSampler3D(e);case 4:\n      return getSampler4D(e);case 5:\n      return getSampler5D(e);case 6:\n      return getSampler6D(e);default:\n      throw new Error(t.length + \"-D input sampling is not yet supported\");}\n}function getInputSamplingSnippet(e, t, n) {\n  var r = getSamplerFlat(e);return r += getSamplerFromInInfo(e), (n || arraysEqual(e.shapeInfo.logicalShape, t.logicalShape)) && (r += getSamplerAtOutputCoords(e, t, n)), r;\n}function getOutputSamplingSnippet(e, t) {\n  switch (e.length) {case 0:\n      return getOutputScalarCoords();case 1:\n      return getOutput1DCoords(e, t);case 2:\n      return getOutput2DCoords(e, t);case 3:\n      return getOutput3DCoords(e, t);case 4:\n      return getOutput4DCoords(e, t);case 5:\n      return getOutput5DCoords(e, t);case 6:\n      return getOutput6DCoords(e, t);default:\n      throw new Error(e.length + \"-D output sampling is not yet supported\");}\n}var SAMPLE_1D_SNIPPET = \"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    SAMPLE_2D_SNIPPET = \"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    SAMPLE_3D_SNIPPET = \"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    SAMPLE_4D_SNIPPET = \"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    SAMPLE_5D_SNIPPET = \"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    SAMPLE_6D_SNIPPET = \"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",\n    FLOAT_TEXTURE_SAMPLE_SNIPPET = \"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",\n    FLOAT_TEXTURE_SETOUTPUT_SNIPPET = \"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",\n    SHADER_PREFIX = \"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \" + SAMPLE_1D_SNIPPET + \"\\n  \" + SAMPLE_2D_SNIPPET + \"\\n  \" + SAMPLE_3D_SNIPPET + \"\\n  \" + SAMPLE_4D_SNIPPET + \"\\n  \" + SAMPLE_5D_SNIPPET + \"\\n  \" + SAMPLE_6D_SNIPPET + \"\\n\";function getOutputScalarCoords() {\n  return \"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \";\n}function getOutput1DCoords(e, t) {\n  return 1 === t[0] ? \"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \" + t[1] + \".0);\\n      }\\n    \" : 1 === t[1] ? \"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \" + t[0] + \".0);\\n      }\\n    \" : \"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\" + t[0] + \", \" + t[1] + \"));\\n      return resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n    }\\n  \";\n}function getOutput3DCoords(e, t) {\n  var n = e[1] * e[2],\n      r = e[2];return \"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\" + t[0] + \", \" + t[1] + \"));\\n      int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n      int r = index / \" + n + \";\\n      index -= r * \" + n + \";\\n      int c = index / \" + r + \";\\n      int d = index - c * \" + r + \";\\n      return ivec3(r, c, d);\\n    }\\n  \";\n}function getOutput4DCoords(e, t) {\n  var n = e[3],\n      r = e[2] * n,\n      a = e[1] * r;return \"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\" + t[0] + \", \" + t[1] + \"));\\n      int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n\\n      int r = index / \" + a + \";\\n      index -= r * \" + a + \";\\n\\n      int c = index / \" + r + \";\\n      index -= c * \" + r + \";\\n\\n      int d = index / \" + n + \";\\n      int d2 = index - d * \" + n + \";\\n\\n      return ivec4(r, c, d, d2);\\n    }\\n  \";\n}function getOutput5DCoords(e, t) {\n  var n = e[4],\n      r = e[3] * n,\n      a = e[2] * r,\n      o = e[1] * a;return \"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\" + t[0] + \",\\n                             \" + t[1] + \"));\\n\\n      int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n\\n      int r = index / \" + o + \";\\n      index -= r * \" + o + \";\\n\\n      int c = index / \" + a + \";\\n      index -= c * \" + a + \";\\n\\n      int d = index / \" + r + \";\\n      index -= d * \" + r + \";\\n\\n      int d2 = index  / \" + n + \";\\n      int d3 = index - d2 * \" + n + \";\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \";\n}function getOutput6DCoords(e, t) {\n  var n = e[5],\n      r = e[4] * n,\n      a = e[3] * r,\n      o = e[2] * a,\n      i = e[1] * o;return \"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\" + t[0] + \", \" + t[1] + \"));\\n      int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n\\n      int r = index / \" + i + \";\\n      index -= r * \" + i + \";\\n\\n      int c = index / \" + o + \";\\n      index -= c * \" + o + \";\\n\\n      int d = index / \" + a + \";\\n      index -= d * \" + a + \";\\n\\n      int d2 = index / \" + r + \";\\n      index -= d2 * \" + r + \";\\n\\n      int d3 = index / \" + n + \";\\n      int d4 = index - d3 * \" + n + \";\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \";\n}function getOutput2DCoords(e, t) {\n  return arraysEqual(e, t) ? \"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\" + t[0] + \", \" + t[1] + \"));\\n      }\\n    \" : 1 === e[1] ? \"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\" + t[0] + \", \" + t[1] + \"));\\n        int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \" : 1 === e[0] ? \"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\" + t[0] + \", \" + t[1] + \"));\\n        int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \" : \"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\" + t[0] + \", \" + t[1] + \"));\\n      int index = resTexRC.x * \" + t[1] + \" + resTexRC.y;\\n      int r = index / \" + e[1] + \";\\n      int c = index - r * \" + e[1] + \";\\n      return ivec2(r, c);\\n    }\\n  \";\n}function getSamplerScalar(e) {\n  var t = e.name,\n      n = \"get\" + t.charAt(0).toUpperCase() + t.slice(1);return e.shapeInfo.isUniform ? \"float \" + n + \"() {return \" + t + \";}\" : \"\\n    float \" + n + \"() {\\n      return sampleTexture(\" + t + \", halfCR);\\n    }\\n  \";\n}function getSampler1D(e) {\n  var t = e.name,\n      n = \"get\" + t.charAt(0).toUpperCase() + t.slice(1);return \"\\n    float \" + n + \"(int index) {\\n      return \" + n + \"Flat(index);\\n    }\\n  \";\n}function getSampler2D(e) {\n  var t = e.shapeInfo.logicalShape,\n      n = e.name,\n      r = \"get\" + n.charAt(0).toUpperCase() + n.slice(1),\n      a = e.shapeInfo.texShape;if (null != a && arraysEqual(t, a)) {\n    var o = a[0];return \"\\n    float \" + r + \"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\" + a[1] + \".0, \" + o + \".0);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \";\n  }var i = squeezeShape(t),\n      s = i.newShape,\n      u = i.keptDims,\n      l = s;if (l.length < t.length) {\n    return \"\\n      \" + getSamplerFromInInfo(squeezeInputInfo(e, l)) + \"\\n      float \" + r + \"(int row, int col) {\\n        return \" + r + \"(\" + getSqueezedParams([\"row\", \"col\"], u) + \");\\n      }\\n    \";\n  }if (e.shapeInfo.isUniform) return \"\\n      float \" + r + \"(int row, int col) {\\n        int index = row * \" + t[1] + \" + col;\\n        return \" + r + \"Flat(index);\\n      }\\n    \";var c = a[0],\n      d = a[1];return 1 === d ? \"\\n    float \" + r + \"(int row, int col) {\\n      int index = row * \" + t[1] + \" + col;\\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / \" + c + \".0);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \" : 1 === c ? \"\\n    float \" + r + \"(int row, int col) {\\n      int index = row * \" + t[1] + \" + col;\\n      vec2 uv = vec2((float(index) + 0.5) / \" + d + \".0, 0.5);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \" : \"\\n  float \" + r + \"(int row, int col) {\\n    vec2 uv = UVfrom2D(\" + c + \", \" + d + \", \" + t[1] + \", row, col);\\n    return sampleTexture(\" + n + \", uv);\\n  }\\n\";\n}function getSampler3D(e) {\n  var t = e.shapeInfo.logicalShape,\n      n = e.name,\n      r = \"get\" + n.charAt(0).toUpperCase() + n.slice(1),\n      a = t[1] * t[2],\n      o = t[2],\n      i = squeezeShape(t),\n      s = i.newShape,\n      u = i.keptDims,\n      l = s;if (l.length < t.length) {\n    return \"\\n        \" + getSamplerFromInInfo(squeezeInputInfo(e, l)) + \"\\n        float \" + r + \"(int row, int col, int depth) {\\n          return \" + r + \"(\" + getSqueezedParams([\"row\", \"col\", \"depth\"], u) + \");\\n        }\\n      \";\n  }if (e.shapeInfo.isUniform) return \"\\n      float \" + r + \"(int row, int col, int depth) {\\n        int index = row * \" + a + \" + col * \" + o + \" + depth;\\n        return \" + r + \"Flat(index);\\n      }\\n    \";var c = e.shapeInfo.texShape,\n      d = c[0],\n      p = c[1];return p === a ? \"\\n        float \" + r + \"(int row, int col, int depth) {\\n          int texR = row;\\n          int texC = col * \" + o + \" + depth;\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\" + p + \".0, \" + d + \".0);\\n          return sampleTexture(\" + n + \", uv);\\n        }\\n      \" : p === o ? \"\\n    float \" + r + \"(int row, int col, int depth) {\\n      int texR = row * \" + t[1] + \" + col;\\n      int texC = depth;\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\" + p + \".0, \" + d + \".0);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \" : \"\\n      float \" + r + \"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \" + d + \", \" + p + \", \" + a + \", \" + o + \", row, col, depth);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n  \";\n}function getSampler4D(e) {\n  var t = e.shapeInfo.logicalShape,\n      n = e.name,\n      r = \"get\" + n.charAt(0).toUpperCase() + n.slice(1),\n      a = t[3],\n      o = t[2] * a,\n      i = t[1] * o,\n      s = squeezeShape(t),\n      u = s.newShape,\n      l = s.keptDims;if (u.length < t.length) {\n    return \"\\n      \" + getSamplerFromInInfo(squeezeInputInfo(e, u)) + \"\\n      float \" + r + \"(int row, int col, int depth, int depth2) {\\n        return \" + r + \"(\" + getSqueezedParams([\"row\", \"col\", \"depth\", \"depth2\"], l) + \");\\n      }\\n    \";\n  }if (e.shapeInfo.isUniform) return \"\\n      float \" + r + \"(int row, int col, int depth, int depth2) {\\n        int index = row * \" + i + \" + col * \" + o + \" +\\n            depth * \" + a + \" + depth2;\\n        return \" + r + \"Flat(index);\\n      }\\n    \";var c = e.shapeInfo.texShape,\n      d = c[0],\n      p = c[1];return p === i ? \"\\n      float \" + r + \"(int row, int col, int depth, int depth2) {\\n        int texR = row;\\n        int texC = col * \" + o + \" + depth * \" + a + \" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\" + p + \".0, \" + d + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : p === a ? \"\\n      float \" + r + \"(int row, int col, int depth, int depth2) {\\n        int texR = row * \" + t[1] * t[2] + \" + col * \" + t[2] + \" + depth;\\n        int texC = depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\" + p + \".0, \" + d + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : \"\\n    float \" + r + \"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\" + d + \", \" + p + \", \" + i + \", \" + o + \",\\n          \" + a + \", row, col, depth, depth2);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \";\n}function getSampler5D(e) {\n  var t = e.shapeInfo.logicalShape,\n      n = e.name,\n      r = \"get\" + n.charAt(0).toUpperCase() + n.slice(1),\n      a = t[4],\n      o = t[3] * a,\n      i = t[2] * o,\n      s = t[1] * i,\n      u = squeezeShape(t),\n      l = u.newShape,\n      c = u.keptDims;if (l.length < t.length) {\n    return \"\\n      \" + getSamplerFromInInfo(squeezeInputInfo(e, l)) + \"\\n      float \" + r + \"(int row, int col, int depth, int depth2, int depth3) {\\n        return \" + r + \"(\" + getSqueezedParams([\"row\", \"col\", \"depth\", \"depth2\", \"depth3\"], c) + \");\\n      }\\n    \";\n  }if (e.shapeInfo.isUniform) return \"\\n      float \" + r + \"(int row, int col, int depth, int depth2, int depth3) {\\n        int index = row * \" + s + \" + col * \" + i + \" +\\n            depth * \" + o + \" + depth2 * \" + a + \" + depth3;\\n        return \" + r + \"Flat(index);\\n      }\\n    \";var d = e.shapeInfo.texShape,\n      p = d[0],\n      h = d[1];return h === s ? \"\\n      float \" + r + \"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        int texC = col * \" + i + \" + depth * \" + o + \" +\\n                   depth2 * \" + a + \" + depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\" + h + \".0, \" + p + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : h === a ? \"\\n      float \" + r + \"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row * \" + t[1] * t[2] + \" + col * \" + t[2] + \" +\\n                   depth * \" + t[3] + \" + depth2;\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\" + h + \".0, \" + p + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : \"\\n    float \" + r + \"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\" + p + \", \" + h + \", \" + s + \", \" + i + \",\\n          \" + o + \", \" + a + \", row, col, depth, depth2, depth3);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \";\n}function getSampler6D(e) {\n  var t = e.shapeInfo.logicalShape,\n      n = e.name,\n      r = \"get\" + n.charAt(0).toUpperCase() + n.slice(1),\n      a = t[5],\n      o = t[4] * a,\n      i = t[3] * o,\n      s = t[2] * i,\n      u = t[1] * s,\n      l = squeezeShape(t),\n      c = l.newShape,\n      d = l.keptDims;if (c.length < t.length) {\n    return \"\\n      \" + getSamplerFromInInfo(squeezeInputInfo(e, c)) + \"\\n      float \" + r + \"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \" + r + \"(\" + getSqueezedParams([\"row\", \"col\", \"depth\", \"depth2\", \"depth3\", \"depth4\"], d) + \");\\n      }\\n    \";\n  }if (e.shapeInfo.isUniform) return \"\\n      float \" + r + \"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        int index = row * \" + u + \" + col * \" + s + \" +\\n            depth * \" + i + \" + depth2 * \" + o + \" + depth3 * \" + o + \"\\n            + depth4\\n        return \" + r + \"Flat(index);\\n      }\\n    \";var p = e.shapeInfo.texShape,\n      h = p[0],\n      f = p[1];return f === u ? \"\\n      float \" + r + \"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        int texC = col * \" + s + \" + depth * \" + i + \" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\" + f + \".0, \" + h + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : f === a ? \"\\n      float \" + r + \"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row * \" + t[1] * t[2] + \" + col * \" + t[2] + \" + depth;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\" + f + \".0, \" + h + \".0);\\n        return sampleTexture(\" + n + \", uv);\\n      }\\n    \" : \"\\n    float \" + r + \"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\" + h + \", \" + f + \", \" + u + \", \" + s + \",\\n          \" + i + \", \" + o + \", \" + a + \"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\" + n + \", uv);\\n    }\\n  \";\n}function getSamplerFlat(e) {\n  var t = e.name,\n      n = \"get\" + t.charAt(0).toUpperCase() + t.slice(1) + \"Flat\",\n      r = sizeFromShape(e.shapeInfo.logicalShape);if (e.shapeInfo.isUniform) return 1 === r ? \"float \" + n + \"(int index) {return \" + t + \";}\" : \"\\n      float \" + n + \"(int index) {\\n        for (int i = 0; i < \" + r + \"; i++) {\\n          if (i == index) {\\n            return \" + t + \"[i];\\n          }\\n        }\\n      }\\n    \";var a = e.shapeInfo.texShape,\n      o = a[0],\n      i = a[1];return 1 === i && 1 === o ? \"\\n      float \" + n + \"(int index) {\\n        return sampleTexture(\" + t + \", halfCR);\\n      }\\n    \" : 1 === i ? \"\\n      float \" + n + \"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \" + o + \".0);\\n        return sampleTexture(\" + t + \", uv);\\n      }\\n    \" : 1 === o ? \"\\n      float \" + n + \"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \" + i + \".0, 0.5);\\n        return sampleTexture(\" + t + \", uv);\\n      }\\n    \" : \"\\n    float \" + n + \"(int index) {\\n      vec2 uv = UVfrom1D(\" + o + \", \" + i + \", index);\\n      return sampleTexture(\" + t + \", uv);\\n    }\\n  \";\n}function getBroadcastOutputCoordsSampler(e, t, n, r) {\n  var a = e.shapeInfo.logicalShape.length,\n      o = t.logicalShape.length,\n      i = \"int\";2 === o ? i = \"ivec2\" : 3 === o ? i = \"ivec3\" : 4 === o && (i = \"ivec4\");var s = getBroadcastDims(e.shapeInfo.logicalShape, t.logicalShape),\n      u = o - a;return \"\\n    float \" + r + \"() {\\n      \" + i + \" coords = getOutputCoords();\\n      \" + (0 === a ? \"\" : o < 2 && s.length >= 1 ? \"coords = 0;\" : s.map(function (e) {\n    return \"coords[\" + (e + u) + \"] = 0;\";\n  }).join(\"\\n\")) + \"\\n      return get\" + n + \"(\" + (o < 2 && a > 0 ? \"coords\" : e.shapeInfo.logicalShape.map(function (e, t) {\n    return \"coords[\" + (t + u) + \"]\";\n  }).join(\", \")) + \");\\n    }\\n  \";\n}function getSamplerAtOutputCoords(e, t, n) {\n  var r = e.name,\n      a = r.charAt(0).toUpperCase() + r.slice(1),\n      o = \"get\" + a + \"AtOutCoords\",\n      i = getBroadcastDims(e.shapeInfo.logicalShape, t.logicalShape),\n      s = e.shapeInfo.logicalShape.length,\n      u = t.logicalShape.length,\n      l = n && (u > s || i.length > 0),\n      c = broadcastDimsAreOuter(i),\n      d = e.shapeInfo.isUniform;if (l && !c) return getBroadcastOutputCoordsSampler(e, t, a, o);var p = sizeFromShape(e.shapeInfo.logicalShape),\n      h = \"\";l && c && (h = \"\\n        int mainPart = index / \" + p + \";\\n        index -= mainPart * \" + p + \";\\n      \");var f = t.texShape;if (d) return 1 === p ? \"float \" + o + \"() {return \" + r + \";}\" : \"\\n      float \" + o + \"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\" + f[0] + \", \" + f[1] + \"));\\n        int index = resTexRC.x * \" + f[1] + \" + resTexRC.y;\\n        \" + h + \"\\n        return get\" + a + \"Flat(index);\\n      }\\n    \";var g = e.shapeInfo.texShape;return arraysEqual(g, f) ? \"\\n      float \" + o + \"() {\\n        return sampleTexture(\" + r + \", resultUV);\\n      }\\n    \" : \"\\n    float \" + o + \"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\" + f[0] + \", \" + f[1] + \"));\\n      int index = resTexRC.x * \" + f[1] + \" + resTexRC.y;\\n      \" + h + \"\\n      int texR = index / \" + g[1] + \";\\n      int texC = index - texR * \" + g[1] + \";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\" + g[1] + \".0, \" + g[0] + \".0);\\n\\n      return sampleTexture(\" + r + \", uv);\\n    }\\n  \";\n}function getCoordsDataType(e) {\n  if (e <= 1) return \"int\";if (2 === e) return \"ivec2\";if (3 === e) return \"ivec3\";if (4 === e) return \"ivec4\";if (5 === e) return \"ivec5\";if (6 === e) return \"ivec6\";throw Error(\"GPU for rank \" + e + \" is not yet supported\");\n}function squeezeInputInfo(e, t) {\n  var n = JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape = t, n;\n}function getSqueezedParams(e, t) {\n  return t.map(function (t) {\n    return e[t];\n  }).join(\", \");\n}var CumSumProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"x\"], this.outputShape = e;var r = e.length,\n        a = e[e.length - 1],\n        o = n ? \"<\" : \">\";this.userCode = \"\\n      int getIndex(int i) {\\n        \" + (n ? \"return \" + a + \" -i - 1;\" : \"return i;\") + \"\\n      }\\n\\n      void main() {\\n        \" + getCoordsDataType(r) + \" coords = getOutputCoords();\\n        int end = \" + getFinalCoord(r, \"coords\") + \";\\n        float val = 0.0;\\n        for (int i = \" + a + \" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \" + o + \" end) {\\n            continue;\\n          }\\n          if (idx == end && \" + t + \") {\\n            continue;\\n          }\\n          \" + getFinalCoord(r, \"coords\") + \" = idx;\\n          val += getX(\" + getCoords(r, \"coords\") + \");\\n        }\\n        setOutput(val);\\n      }\\n    \";\n  };\n}();function getCoords(e, t) {\n  if (1 === e) return \"\" + t;if (2 === e) return t + \".x, \" + t + \".y\";if (3 === e) return t + \".x, \" + t + \".y, \" + t + \".z\";if (4 === e) return t + \".x, \" + t + \".y, \" + t + \".z, \" + t + \".w\";throw Error(\"Cumulative sum for rank \" + e + \" is not yet supported\");\n}function getFinalCoord(e, t) {\n  if (1 === e) return \"\" + t;if (2 === e) return t + \".y\";if (3 === e) return t + \".z\";if (4 === e) return t + \".w\";throw Error(\"Cumulative sum for rank \" + e + \" is not yet supported\");\n}var TextureUsage,\n    PhysicalTextureType,\n    EncodeFloatProgram = function () {\n  return function (e) {\n    this.variableNames = [\"A\"], this.outputShape = e, this.userCode = \"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \";\n  };\n}(),\n    FromPixelsProgram = function () {\n  return function (e) {\n    this.variableNames = [\"A\"];var t = e[0],\n        n = e[1];this.outputShape = e, this.userCode = \"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\" + n + \".0, \" + t + \".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \";\n  };\n}(),\n    GatherProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"A\", \"indices\"];var r = e.slice();r[n] = t, this.outputShape = r, this.rank = r.length;var a = getCoordsDataType(this.rank),\n        o = getSourceCoords(e, n);this.userCode = \"\\n      void main() {\\n        \" + a + \" resRC = getOutputCoords();\\n        setOutput(getA(\" + o + \"));\\n      }\\n    \";\n  };\n}();function getSourceCoords(e, t) {\n  var n = e.length;if (n > 4) throw Error(\"Gather for rank \" + n + \" is not yet supported\");if (1 === n) return \"int(getIndices(resRC))\";for (var r = [\"resRC.x\", \"resRC.y\", \"resRC.z\", \"resRC.w\"], a = [], o = 0; o < e.length; o++) o === t ? a.push(\"int(getIndices(\" + r[o] + \"))\") : a.push(\"\" + r[o]);return a.join();\n}function getUnpackedMatrixTextureShapeWidthHeight(e, t) {\n  return [t, e];\n}function getUnpackedArraySizeFromMatrixSize(e, t) {\n  return e * t;\n}function getMatrixSizeFromUnpackedArraySize(e, t) {\n  if (e % t != 0) throw new Error(\"unpackedSize (\" + e + \") must be a multiple of \" + t);return e / t;\n}function encodeMatrixToUnpackedArray(e, t, n) {\n  var r = getUnpackedArraySizeFromMatrixSize(e.length, n);if (t.length < r) throw new Error(\"unpackedArray length (\" + t.length + \") must be >= \" + r);for (var a = 0, o = 0; o < e.length; ++o) t[a] = e[o], a += n;\n}function decodeMatrixFromUnpackedArray(e, t, n) {\n  var r = getMatrixSizeFromUnpackedArraySize(e.length, n);if (t.length < r) throw new Error(\"matrix length (\" + t.length + \") must be >= \" + r);for (var a = 0, o = 0; o < e.length; o += n) t[a++] = e[o];\n}function getPackedMatrixTextureShapeWidthHeight(e, t) {\n  return [Math.ceil(t / 2), Math.ceil(e / 2)];\n}function getPackedRGBAArraySizeFromMatrixShape(e, t) {\n  var n = getPackedMatrixTextureShapeWidthHeight(e, t);return n[0] * n[1] * 4;\n}function encodeMatrixToPackedRGBA(e, t, n, r) {\n  var a = getPackedRGBAArraySizeFromMatrixShape(t, n);if (r.length < a) throw new Error(\"packedRGBA length (\" + r.length + \") must be >= \" + a);for (var o = getPackedMatrixTextureShapeWidthHeight(t, n), i = o[0], s = o[1], u = n % 2 == 1, l = t % 2 == 1, c = Math.floor(n / 2), d = Math.floor(t / 2), p = u ? 4 : 0, h = n, f = 0, g = 0; g < d; ++g) {\n    for (var m = 2 * g * n, v = 0; v < c; ++v) {\n      var y = m + 2 * v;r[f] = e[y], r[f + 1] = e[y + 1], r[f + 2] = e[y + h], r[f + 3] = e[y + h + 1], f += 4;\n    }f += p;\n  }if (u) {\n    y = n - 1, f = 4 * (i - 1);var x = 2 * n;for (p = 4 * i, g = 0; g < d; ++g) r[f] = e[y], r[f + 2] = e[y + n], y += x, f += p;\n  }if (l) for (y = (t - 1) * n, f = (s - 1) * i * 4, v = 0; v < c; ++v) r[f++] = e[y++], r[f++] = e[y++], f += 2;return u && l && (r[r.length - 4] = e[e.length - 1]), r;\n}function decodeMatrixFromPackedRGBA(e, t, n, r) {\n  var a = t * n;if (a < r.length) throw new Error(\"matrix length (\" + r.length + \") must be >= \" + a);for (var o = n % 2 == 1, i = t % 2 == 1, s = Math.floor(n / 2), u = Math.floor(t / 2), l = getPackedMatrixTextureShapeWidthHeight(t, n), c = l[0], d = l[1], p = o ? 4 : 0, h = n + (o ? 1 : 0), f = 0, g = 0, m = n, v = 0; v < u; ++v) {\n    for (var y = 0; y < s; ++y) r[g++] = e[f++], r[g++] = e[f++], r[m++] = e[f++], r[m++] = e[f++];f += p, g += h, m += h;\n  }if (o) {\n    f = 4 * (c - 1);var x = n - 1;for (p = 4 * c, h = 2 * n, v = 0; v < u; ++v) r[x] = e[f], r[x + n] = e[f + 2], f += p, x += h;\n  }if (i) for (f = (d - 1) * c * 4, x = (t - 1) * n, y = 0; y < s; ++y) r[x++] = e[f++], r[x++] = e[f++], f += 2;return o && i && (r[r.length - 1] = e[e.length - 4]), r;\n}!function (e) {\n  e[e.RENDER = 0] = \"RENDER\", e[e.UPLOAD = 1] = \"UPLOAD\", e[e.PIXELS = 2] = \"PIXELS\", e[e.DOWNLOAD = 3] = \"DOWNLOAD\";\n}(TextureUsage || (TextureUsage = {})), function (e) {\n  e[e.FLOAT16 = 0] = \"FLOAT16\", e[e.FLOAT32 = 1] = \"FLOAT32\", e[e.UNSIGNED_BYTE = 2] = \"UNSIGNED_BYTE\";\n}(PhysicalTextureType || (PhysicalTextureType = {}));var MAX_TEXTURE_SIZE = null;function createWebGLRenderingContext(e) {\n  var t = document.createElement(\"canvas\");return t.width = 1, t.height = 1, createWebGLRenderingContextFromCanvas(t, e);\n}function createWebGLRenderingContextFromCanvas(e, t) {\n  var n,\n      r = ENV.get(\"WEBGL_VERSION\");if (2 === r ? n = e.getContext(\"webgl2\", t) : 1 === r && (n = e.getContext(\"webgl\", t) || e.getContext(\"experimental-webgl\", t)), 0 === r || null == n) throw new Error(\"This browser does not support WebGL.\");return n;\n}function callAndCheck(e, t) {\n  var n = t();return checkWebGLError(e), n;\n}var webGLDebugErrorCheckingEnabled = !1;function enableDebugWebGLErrorChecking(e) {\n  webGLDebugErrorCheckingEnabled = e;\n}function checkWebGLError(e) {\n  if (webGLDebugErrorCheckingEnabled) {\n    var t = e.getError();if (t !== e.NO_ERROR) throw new Error(\"WebGL Error: \" + getWebGLErrorMessage(e, t));\n  }\n}function getWebGLErrorMessage(e, t) {\n  switch (t) {case e.NO_ERROR:\n      return \"NO_ERROR\";case e.INVALID_ENUM:\n      return \"INVALID_ENUM\";case e.INVALID_VALUE:\n      return \"INVALID_VALUE\";case e.INVALID_OPERATION:\n      return \"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:\n      return \"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:\n      return \"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:\n      return \"CONTEXT_LOST_WEBGL\";default:\n      return \"Unknown error code \" + t;}\n}function getExtensionOrThrow(e, t) {\n  return throwIfNull(e, function () {\n    return e.getExtension(t);\n  }, 'Extension \"' + t + '\" not supported on this browser.');\n}function createVertexShader(e, t) {\n  var n = throwIfNull(e, function () {\n    return e.createShader(e.VERTEX_SHADER);\n  }, \"Unable to create vertex WebGLShader.\");if (callAndCheck(e, function () {\n    return e.shaderSource(n, t);\n  }), callAndCheck(e, function () {\n    return e.compileShader(n);\n  }), !1 === e.getShaderParameter(n, e.COMPILE_STATUS)) throw console.log(e.getShaderInfoLog(n)), new Error(\"Failed to compile vertex shader.\");return n;\n}function createFragmentShader(e, t) {\n  var n = throwIfNull(e, function () {\n    return e.createShader(e.FRAGMENT_SHADER);\n  }, \"Unable to create fragment WebGLShader.\");if (callAndCheck(e, function () {\n    return e.shaderSource(n, t);\n  }), callAndCheck(e, function () {\n    return e.compileShader(n);\n  }), !1 === e.getShaderParameter(n, e.COMPILE_STATUS)) throw logShaderSourceAndInfoLog(t, e.getShaderInfoLog(n)), new Error(\"Failed to compile fragment shader.\");return n;\n}var lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e, t) {\n  var n = lineNumberRegex.exec(t);if (null == n) return console.log(\"Couldn't parse line number in error: \" + t), void console.log(e);for (var r = +n[1], a = e.split(\"\\n\"), o = a.length.toString().length + 2, i = a.map(function (e, t) {\n    return rightPad((t + 1).toString(), o) + e;\n  }), s = 0, u = 0; u < i.length; u++) s = Math.max(i[u].length, s);var l = i.slice(0, r - 1),\n      c = i.slice(r - 1, r),\n      d = i.slice(r);console.log(l.join(\"\\n\")), console.log(t.split(\"\\n\")[0]), console.log(\"%c \" + rightPad(c[0], s), \"border:1px solid red; background-color:#e3d2d2; color:#a61717\"), console.log(d.join(\"\\n\"));\n}function createProgram(e) {\n  return throwIfNull(e, function () {\n    return e.createProgram();\n  }, \"Unable to create WebGLProgram.\");\n}function linkProgram(e, t) {\n  if (callAndCheck(e, function () {\n    return e.linkProgram(t);\n  }), !1 === e.getProgramParameter(t, e.LINK_STATUS)) throw console.log(e.getProgramInfoLog(t)), new Error(\"Failed to link vertex and fragment shaders.\");\n}function validateProgram(e, t) {\n  if (callAndCheck(e, function () {\n    return e.validateProgram(t);\n  }), !1 === e.getProgramParameter(t, e.VALIDATE_STATUS)) throw console.log(e.getProgramInfoLog(t)), new Error(\"Shader program validation failed.\");\n}function createStaticVertexBuffer(e, t) {\n  var n = throwIfNull(e, function () {\n    return e.createBuffer();\n  }, \"Unable to create WebGLBuffer\");return callAndCheck(e, function () {\n    return e.bindBuffer(e.ARRAY_BUFFER, n);\n  }), callAndCheck(e, function () {\n    return e.bufferData(e.ARRAY_BUFFER, t, e.STATIC_DRAW);\n  }), n;\n}function createStaticIndexBuffer(e, t) {\n  var n = throwIfNull(e, function () {\n    return e.createBuffer();\n  }, \"Unable to create WebGLBuffer\");return callAndCheck(e, function () {\n    return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER, n);\n  }), callAndCheck(e, function () {\n    return e.bufferData(e.ELEMENT_ARRAY_BUFFER, t, e.STATIC_DRAW);\n  }), n;\n}function queryMaxTextureSize(e) {\n  return null != MAX_TEXTURE_SIZE ? MAX_TEXTURE_SIZE : MAX_TEXTURE_SIZE = callAndCheck(e, function () {\n    return e.getParameter(e.MAX_TEXTURE_SIZE);\n  });\n}function getNumChannels() {\n  return 2 === ENV.get(\"WEBGL_VERSION\") ? 1 : 4;\n}function createTexture(e) {\n  return throwIfNull(e, function () {\n    return e.createTexture();\n  }, \"Unable to create WebGLTexture.\");\n}function validateTextureSize(e, t, n) {\n  var r = queryMaxTextureSize(e);if (t <= 0 || n <= 0) {\n    var a = \"[\" + t + \"x\" + n + \"]\";throw new Error(\"Requested texture size \" + a + \" is invalid.\");\n  }if (t > r || n > r) {\n    a = \"[\" + t + \"x\" + n + \"]\";throw new Error(\"Requested texture size \" + a + \" greater than WebGL maximum on this browser / GPU \" + (\"[\" + r + \"x\" + r + \"]\") + \".\");\n  }\n}function createFramebuffer(e) {\n  return throwIfNull(e, function () {\n    return e.createFramebuffer();\n  }, \"Unable to create WebGLFramebuffer.\");\n}function bindVertexBufferToProgramAttribute(e, t, n, r, a, o, i) {\n  var s = e.getAttribLocation(t, n);return -1 !== s && (callAndCheck(e, function () {\n    return e.bindBuffer(e.ARRAY_BUFFER, r);\n  }), callAndCheck(e, function () {\n    return e.vertexAttribPointer(s, a, e.FLOAT, !1, o, i);\n  }), callAndCheck(e, function () {\n    return e.enableVertexAttribArray(s);\n  }), !0);\n}function bindTextureUnit(e, t, n) {\n  validateTextureUnit(e, n), callAndCheck(e, function () {\n    return e.activeTexture(e.TEXTURE0 + n);\n  }), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, t);\n  });\n}function unbindTextureUnit(e, t) {\n  validateTextureUnit(e, t), callAndCheck(e, function () {\n    return e.activeTexture(e.TEXTURE0 + t);\n  }), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, null);\n  });\n}function getProgramUniformLocationOrThrow(e, t, n) {\n  return throwIfNull(e, function () {\n    return e.getUniformLocation(t, n);\n  }, 'uniform \"' + n + '\" not present in program.');\n}function getProgramUniformLocation(e, t, n) {\n  return e.getUniformLocation(t, n);\n}function bindTextureToProgramUniformSampler(e, t, n, r, a) {\n  callAndCheck(e, function () {\n    return bindTextureUnit(e, n, a);\n  }), callAndCheck(e, function () {\n    return e.uniform1i(r, a);\n  });\n}function bindCanvasToFramebuffer(e) {\n  callAndCheck(e, function () {\n    return e.bindFramebuffer(e.FRAMEBUFFER, null);\n  }), callAndCheck(e, function () {\n    return e.viewport(0, 0, e.canvas.width, e.canvas.height);\n  }), callAndCheck(e, function () {\n    return e.scissor(0, 0, e.canvas.width, e.canvas.height);\n  });\n}function bindColorTextureToFramebuffer(e, t, n) {\n  callAndCheck(e, function () {\n    return e.bindFramebuffer(e.FRAMEBUFFER, n);\n  }), callAndCheck(e, function () {\n    return e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, t, 0);\n  });\n}function unbindColorTextureFromFramebuffer(e, t) {\n  callAndCheck(e, function () {\n    return e.bindFramebuffer(e.FRAMEBUFFER, t);\n  }), callAndCheck(e, function () {\n    return e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, null, 0);\n  });\n}function validateFramebuffer(e) {\n  var t = e.checkFramebufferStatus(e.FRAMEBUFFER);if (t !== e.FRAMEBUFFER_COMPLETE) throw new Error(\"Error binding framebuffer: \" + getFramebufferErrorMessage(e, t));\n}function getFramebufferErrorMessage(e, t) {\n  switch (t) {case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return \"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return \"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return \"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:\n      return \"FRAMEBUFFER_UNSUPPORTED\";default:\n      return \"unknown error \" + t;}\n}function throwIfNull(e, t, n) {\n  var r = callAndCheck(e, function () {\n    return t();\n  });if (null == r) throw new Error(n);return r;\n}function validateTextureUnit(e, t) {\n  var n = e.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1,\n      r = t + e.TEXTURE0;if (r < e.TEXTURE0 || r > n) throw new Error(\"textureUnit must be in \" + (\"[gl.TEXTURE0, gl.TEXTURE\" + n + \"]\") + \".\");\n}function getTextureShapeFromLogicalShape(e, t) {\n  2 !== t.length && (t = squeezeShape(t).newShape);var n = queryMaxTextureSize(e),\n      r = sizeFromShape(t);return t.length <= 1 && r <= n ? [r, 1] : 2 === t.length && t[0] <= n && t[1] <= n ? t : 3 === t.length && t[0] <= n && t[1] * t[2] <= n ? [t[0], t[1] * t[2]] : 4 === t.length && t[0] <= n && t[1] * t[2] * t[3] <= n ? [t[0], t[1] * t[2] * t[3]] : sizeToSquarishShape(r);\n}var webgl_util = Object.freeze({ createWebGLRenderingContext: createWebGLRenderingContext, createWebGLRenderingContextFromCanvas: createWebGLRenderingContextFromCanvas, callAndCheck: callAndCheck, enableDebugWebGLErrorChecking: enableDebugWebGLErrorChecking, checkWebGLError: checkWebGLError, getWebGLErrorMessage: getWebGLErrorMessage, getExtensionOrThrow: getExtensionOrThrow, createVertexShader: createVertexShader, createFragmentShader: createFragmentShader, createProgram: createProgram, linkProgram: linkProgram, validateProgram: validateProgram, createStaticVertexBuffer: createStaticVertexBuffer, createStaticIndexBuffer: createStaticIndexBuffer, queryMaxTextureSize: queryMaxTextureSize, getNumChannels: getNumChannels, createTexture: createTexture, validateTextureSize: validateTextureSize, createFramebuffer: createFramebuffer, bindVertexBufferToProgramAttribute: bindVertexBufferToProgramAttribute, bindTextureUnit: bindTextureUnit, unbindTextureUnit: unbindTextureUnit, getProgramUniformLocationOrThrow: getProgramUniformLocationOrThrow, getProgramUniformLocation: getProgramUniformLocation, bindTextureToProgramUniformSampler: bindTextureToProgramUniformSampler, bindCanvasToFramebuffer: bindCanvasToFramebuffer, bindColorTextureToFramebuffer: bindColorTextureToFramebuffer, unbindColorTextureFromFramebuffer: unbindColorTextureFromFramebuffer, validateFramebuffer: validateFramebuffer, getFramebufferErrorMessage: getFramebufferErrorMessage, getTextureShapeFromLogicalShape: getTextureShapeFromLogicalShape });function getWebGLContextAttributes() {\n  return { alpha: !1, antialias: !1, premultipliedAlpha: !1, preserveDrawingBuffer: !1, depth: !1, stencil: !1, failIfMajorPerformanceCaveat: !0 };\n}function createWebGLContext(e) {\n  var t,\n      n = getWebGLContextAttributes();return callAndCheck(t = null != e ? createWebGLRenderingContextFromCanvas(e, n) : createWebGLRenderingContext(n), function () {\n    return t.disable(t.DEPTH_TEST);\n  }), callAndCheck(t, function () {\n    return t.disable(t.STENCIL_TEST);\n  }), callAndCheck(t, function () {\n    return t.disable(t.BLEND);\n  }), callAndCheck(t, function () {\n    return t.disable(t.DITHER);\n  }), callAndCheck(t, function () {\n    return t.disable(t.POLYGON_OFFSET_FILL);\n  }), callAndCheck(t, function () {\n    return t.disable(t.SAMPLE_COVERAGE);\n  }), callAndCheck(t, function () {\n    return t.enable(t.SCISSOR_TEST);\n  }), callAndCheck(t, function () {\n    return t.enable(t.CULL_FACE);\n  }), callAndCheck(t, function () {\n    return t.cullFace(t.BACK);\n  }), t;\n}function createVertexShader$1(e) {\n  return createVertexShader(e, \"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\");\n}function createVertexBuffer(e) {\n  return createStaticVertexBuffer(e, new Float32Array([-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]));\n}function createIndexBuffer(e) {\n  return createStaticIndexBuffer(e, new Uint16Array([0, 1, 2, 2, 1, 3]));\n}function getTextureConfig(e, t) {\n  var n,\n      r,\n      a,\n      o,\n      i,\n      s,\n      u,\n      l = e;return 2 === ENV.get(\"WEBGL_VERSION\") ? (n = l.R32F, r = l.R16F, a = l.RGBA32F, o = l.RED, i = 4, s = 1, u = l.HALF_FLOAT) : (n = e.RGBA, r = e.RGBA, a = l.RGBA, o = e.RGBA, i = 4, s = 4, u = null != t ? t.HALF_FLOAT_OES : null), { internalFormatFloat: n, internalFormatHalfFloat: r, internalFormatPackedFloat: a, textureFormatFloat: o, downloadTextureFormat: e.RGBA, downloadUnpackNumChannels: i, defaultNumChannels: s, textureTypeHalfFloat: u };\n}function createAndConfigureTexture(e, t, n, r, a, o) {\n  validateTextureSize(e, t, n);var i = createTexture(e),\n      s = e.TEXTURE_2D;return callAndCheck(e, function () {\n    return e.bindTexture(s, i);\n  }), callAndCheck(e, function () {\n    return e.texParameteri(s, e.TEXTURE_WRAP_S, e.CLAMP_TO_EDGE);\n  }), callAndCheck(e, function () {\n    return e.texParameteri(s, e.TEXTURE_WRAP_T, e.CLAMP_TO_EDGE);\n  }), callAndCheck(e, function () {\n    return e.texParameteri(s, e.TEXTURE_MIN_FILTER, e.NEAREST);\n  }), callAndCheck(e, function () {\n    return e.texParameteri(s, e.TEXTURE_MAG_FILTER, e.NEAREST);\n  }), callAndCheck(e, function () {\n    return e.texImage2D(s, 0, r, t, n, 0, a, o, null);\n  }), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, null);\n  }), i;\n}function createFloat32MatrixTexture(e, t, n, r) {\n  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatFloat, r.textureFormatFloat, e.FLOAT);\n}function createFloat16MatrixTexture(e, t, n, r) {\n  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatFloat, r.textureFormatFloat, r.textureTypeHalfFloat);\n}function createUnsignedBytesMatrixTexture(e, t, n, r) {\n  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], e.RGBA, e.RGBA, e.UNSIGNED_BYTE);\n}function createPackedMatrixTexture(e, t, n, r) {\n  var a = getPackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatPackedFloat, e.RGBA, e.FLOAT);\n}function bindVertexProgramAttributeStreams(e, t, n) {\n  return callAndCheck(e, function () {\n    return e.bindBuffer(e.ARRAY_BUFFER, n);\n  }), bindVertexBufferToProgramAttribute(e, t, \"clipSpacePos\", n, 3, 20, 0) && bindVertexBufferToProgramAttribute(e, t, \"uv\", n, 2, 20, 12);\n}function uploadPixelDataToTexture(e, t, n) {\n  callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, t);\n  }), callAndCheck(e, function () {\n    return e.texImage2D(e.TEXTURE_2D, 0, e.RGBA, e.RGBA, e.UNSIGNED_BYTE, n);\n  }), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, null);\n  });\n}function uploadDataToTexture(e, t, n, r, a, o) {\n  validateTextureSize(e, n, r), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, t);\n  }), callAndCheck(e, function () {\n    return e.texSubImage2D(e.TEXTURE_2D, 0, 0, 0, n, r, o, e.FLOAT, a);\n  }), callAndCheck(e, function () {\n    return e.bindTexture(e.TEXTURE_2D, null);\n  });\n}function uploadMatrixToTexture(e, t, n, r, a, o, i) {\n  var s,\n      u = getUnpackedMatrixTextureShapeWidthHeight(n, r),\n      l = u[0],\n      c = u[1];1 === i.defaultNumChannels ? s = a : encodeMatrixToUnpackedArray(a, s = new Float32Array(getUnpackedArraySizeFromMatrixSize(a.length, o)), o), uploadDataToTexture(e, t, l, c, s, i.textureFormatFloat);\n}function uploadMatrixToPackedTexture(e, t, n, r, a, o) {\n  var i = getPackedMatrixTextureShapeWidthHeight(n, r),\n      s = i[0],\n      u = i[1],\n      l = new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n, r));encodeMatrixToPackedRGBA(a, n, r, l), uploadDataToTexture(e, t, s, u, l, e.RGBA);\n}function downloadMatrixFromOutputTextureAsync(e, t, n, r, a) {\n  return __awaiter(this, void 0, void 0, function () {\n    var o, i, s, u, l;return __generator(this, function (c) {\n      switch (c.label) {case 0:\n          return o = e, i = new Float32Array(getUnpackedArraySizeFromMatrixSize(n * r, a.downloadUnpackNumChannels)), s = i instanceof Float32Array ? 4 * i.length : i, u = e.createBuffer(), callAndCheck(e, function () {\n            return e.bindBuffer(o.PIXEL_PACK_BUFFER, u);\n          }), callAndCheck(e, function () {\n            return e.bufferData(o.PIXEL_PACK_BUFFER, s, e.STATIC_DRAW);\n          }), callAndCheck(e, function () {\n            return o.readPixels(0, 0, r, n, e.RGBA, e.FLOAT, 0);\n          }), [4, t.getBufferSubDataAsync(o.PIXEL_PACK_BUFFER, 0, i)];case 1:\n          return c.sent(), l = new Float32Array(n * r), decodeMatrixFromUnpackedArray(i, l, a.downloadUnpackNumChannels), [2, l];}\n    });\n  });\n}function downloadFloat32MatrixFromOutputTexture(e, t, n, r) {\n  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n),\n      o = a[0],\n      i = a[1],\n      s = new Float32Array(getUnpackedArraySizeFromMatrixSize(t * n, r.downloadUnpackNumChannels));callAndCheck(e, function () {\n    return e.readPixels(0, 0, o, i, r.downloadTextureFormat, e.FLOAT, s);\n  });var u = new Float32Array(t * n);return decodeMatrixFromUnpackedArray(s, u, r.downloadUnpackNumChannels), u;\n}function downloadByteEncodedFloatMatrixFromOutputTexture(e, t, n, r) {\n  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n),\n      o = a[0],\n      i = a[1],\n      s = new Uint8Array(getUnpackedArraySizeFromMatrixSize(t * n, 4));return callAndCheck(e, function () {\n    return e.readPixels(0, 0, o, i, r.downloadTextureFormat, e.UNSIGNED_BYTE, s);\n  }), new Float32Array(s.buffer);\n}function downloadMatrixFromPackedOutputTexture(e, t, n, r) {\n  var a = getPackedMatrixTextureShapeWidthHeight(t, n),\n      o = a[0],\n      i = a[1],\n      s = new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t, n));callAndCheck(e, function () {\n    return e.readPixels(0, 0, o, i, e.RGBA, e.FLOAT, s);\n  });var u = new Float32Array(t * n);return decodeMatrixFromPackedRGBA(s, t, n, u);\n}var gpgpu_util = Object.freeze({ getWebGLContextAttributes: getWebGLContextAttributes, createWebGLContext: createWebGLContext, createVertexShader: createVertexShader$1, createVertexBuffer: createVertexBuffer, createIndexBuffer: createIndexBuffer, getTextureConfig: getTextureConfig, createFloat32MatrixTexture: createFloat32MatrixTexture, createFloat16MatrixTexture: createFloat16MatrixTexture, createUnsignedBytesMatrixTexture: createUnsignedBytesMatrixTexture, createPackedMatrixTexture: createPackedMatrixTexture, bindVertexProgramAttributeStreams: bindVertexProgramAttributeStreams, uploadPixelDataToTexture: uploadPixelDataToTexture, uploadMatrixToTexture: uploadMatrixToTexture, uploadMatrixToPackedTexture: uploadMatrixToPackedTexture, downloadMatrixFromOutputTextureAsync: downloadMatrixFromOutputTextureAsync, downloadFloat32MatrixFromOutputTexture: downloadFloat32MatrixFromOutputTexture, downloadByteEncodedFloatMatrixFromOutputTexture: downloadByteEncodedFloatMatrixFromOutputTexture, downloadMatrixFromPackedOutputTexture: downloadMatrixFromPackedOutputTexture }),\n    GPGPUContext = function () {\n  function e(e) {\n    this.outputTexture = null, this.program = null, this.disposed = !1, this.autoDebugValidate = !1, this.vertexAttrsAreBound = !1, this.itemsToPoll = [], this.gl = null != e ? e : createWebGLContext(), 1 === ENV.get(\"WEBGL_VERSION\") ? (this.textureFloatExtension = getExtensionOrThrow(this.gl, \"OES_texture_float\"), this.colorBufferFloatExtension = this.gl.getExtension(\"WEBGL_color_buffer_float\"), ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\") || (this.textureHalfFloatExtension = getExtensionOrThrow(this.gl, \"OES_texture_half_float\"), this.colorBufferHalfFloatExtension = this.gl.getExtension(\"EXT_color_buffer_half_float\"))) : this.colorBufferFloatExtension = getExtensionOrThrow(this.gl, \"EXT_color_buffer_float\"), this.loseContextExtension = getExtensionOrThrow(this.gl, \"WEBGL_lose_context\"), ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\") && (this.getBufferSubDataAsyncExtension = this.gl.getExtension(\"WEBGL_get_buffer_sub_data_async\")), this.vertexBuffer = createVertexBuffer(this.gl), this.indexBuffer = createIndexBuffer(this.gl), this.framebuffer = createFramebuffer(this.gl), this.textureConfig = getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }return e.prototype.dispose = function () {\n    var e = this;if (!this.disposed) {\n      null != this.program && console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"), null != this.outputTexture && console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t = this.gl;callAndCheck(t, function () {\n        return t.finish();\n      }), callAndCheck(t, function () {\n        return t.bindFramebuffer(t.FRAMEBUFFER, null);\n      }), callAndCheck(t, function () {\n        return t.deleteFramebuffer(e.framebuffer);\n      }), callAndCheck(t, function () {\n        return t.bindBuffer(t.ARRAY_BUFFER, null);\n      }), callAndCheck(t, function () {\n        return t.deleteBuffer(e.vertexBuffer);\n      }), callAndCheck(t, function () {\n        return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER, null);\n      }), callAndCheck(t, function () {\n        return t.deleteBuffer(e.indexBuffer);\n      }), this.loseContextExtension.loseContext(), this.disposed = !0;\n    }\n  }, e.prototype.enableAutomaticDebugValidation = function (e) {\n    this.autoDebugValidate = e, enableDebugWebGLErrorChecking(e);\n  }, e.prototype.createFloat32MatrixTexture = function (e, t) {\n    return this.throwIfDisposed(), createFloat32MatrixTexture(this.gl, e, t, this.textureConfig);\n  }, e.prototype.createFloat16MatrixTexture = function (e, t) {\n    return this.throwIfDisposed(), createFloat16MatrixTexture(this.gl, e, t, this.textureConfig);\n  }, e.prototype.createUnsignedBytesMatrixTexture = function (e, t) {\n    return this.throwIfDisposed(), createUnsignedBytesMatrixTexture(this.gl, e, t, this.textureConfig);\n  }, e.prototype.uploadPixelDataToTexture = function (e, t) {\n    this.throwIfDisposed(), uploadPixelDataToTexture(this.gl, e, t);\n  }, e.prototype.createPackedMatrixTexture = function (e, t) {\n    return this.throwIfDisposed(), createPackedMatrixTexture(this.gl, e, t, this.textureConfig);\n  }, e.prototype.deleteMatrixTexture = function (e) {\n    var t = this;this.throwIfDisposed(), this.outputTexture === e && (unbindColorTextureFromFramebuffer(this.gl, this.framebuffer), this.outputTexture = null), callAndCheck(this.gl, function () {\n      return t.gl.deleteTexture(e);\n    });\n  }, e.prototype.uploadMatrixToTexture = function (e, t, n, r) {\n    this.throwIfDisposed();var a = getNumChannels();return uploadMatrixToTexture(this.gl, e, t, n, r, a, this.textureConfig);\n  }, e.prototype.uploadMatrixToPackedTexture = function (e, t, n, r) {\n    return this.throwIfDisposed(), uploadMatrixToPackedTexture(this.gl, e, t, n, r, this.textureConfig);\n  }, e.prototype.downloadFloat32MatrixFromOutputTexture = function (e, t, n) {\n    var r = this;return this.downloadMatrixDriver(e, function () {\n      return downloadFloat32MatrixFromOutputTexture(r.gl, t, n, r.textureConfig);\n    });\n  }, e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture = function (e, t, n) {\n    var r = this;return this.downloadMatrixDriver(e, function () {\n      return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl, t, n, r.textureConfig);\n    });\n  }, e.prototype.downloadMatrixFromTextureAsync = function (e, t, n) {\n    return __awaiter(this, void 0, void 0, function () {\n      var r = this;return __generator(this, function (a) {\n        if (null == this.getBufferSubDataAsyncExtension) throw new Error(\"Cannot download matrix from output texture asynchronously, WEBGL_get_buffer_sub_data_async is not enabled.\");return [2, this.downloadMatrixDriverAsync(e, function () {\n          return downloadMatrixFromOutputTextureAsync(r.gl, r.getBufferSubDataAsyncExtension, t, n, r.textureConfig);\n        })];\n      });\n    });\n  }, e.prototype.downloadMatrixFromPackedTexture = function (e, t, n) {\n    var r = this;return this.downloadMatrixDriver(e, function () {\n      return downloadMatrixFromPackedOutputTexture(r.gl, t, n, r.textureConfig);\n    });\n  }, e.prototype.createProgram = function (e) {\n    this.throwIfDisposed();var t = this.gl,\n        n = createFragmentShader(t, e),\n        r = createVertexShader$1(t),\n        a = createProgram(t);return callAndCheck(t, function () {\n      return t.attachShader(a, r);\n    }), callAndCheck(t, function () {\n      return t.attachShader(a, n);\n    }), linkProgram(t, a), this.autoDebugValidate && validateProgram(t, a), this.vertexAttrsAreBound || (this.setProgram(a), this.vertexAttrsAreBound = bindVertexProgramAttributeStreams(t, this.program, this.vertexBuffer)), a;\n  }, e.prototype.deleteProgram = function (e) {\n    var t = this;this.throwIfDisposed(), e === this.program && (this.program = null), null != e && callAndCheck(this.gl, function () {\n      return t.gl.deleteProgram(e);\n    });\n  }, e.prototype.setProgram = function (e) {\n    var t = this;this.throwIfDisposed(), this.program = e, null != this.program && this.autoDebugValidate && validateProgram(this.gl, this.program), callAndCheck(this.gl, function () {\n      return t.gl.useProgram(e);\n    });\n  }, e.prototype.getUniformLocation = function (e, t, n) {\n    return void 0 === n && (n = !0), this.throwIfDisposed(), n ? getProgramUniformLocationOrThrow(this.gl, e, t) : getProgramUniformLocation(this.gl, e, t);\n  }, e.prototype.getAttributeLocation = function (e, t) {\n    var n = this;return this.throwIfDisposed(), callAndCheck(this.gl, function () {\n      return n.gl.getAttribLocation(e, t);\n    });\n  }, e.prototype.getUniformLocationNoThrow = function (e, t) {\n    return this.throwIfDisposed(), this.gl.getUniformLocation(e, t);\n  }, e.prototype.setInputMatrixTexture = function (e, t, n) {\n    this.throwIfDisposed(), this.throwIfNoProgram(), bindTextureToProgramUniformSampler(this.gl, this.program, e, t, n);\n  }, e.prototype.setOutputMatrixTexture = function (e, t, n) {\n    this.setOutputMatrixTextureDriver(e, n, t);\n  }, e.prototype.setOutputPackedMatrixTexture = function (e, t, n) {\n    this.throwIfDisposed();var r = getPackedMatrixTextureShapeWidthHeight(t, n),\n        a = r[0],\n        o = r[1];this.setOutputMatrixTextureDriver(e, a, o);\n  }, e.prototype.setOutputMatrixWriteRegion = function (e, t, n, r) {\n    this.setOutputMatrixWriteRegionDriver(n, e, r, t);\n  }, e.prototype.setOutputPackedMatrixWriteRegion = function (e, t, n, r) {\n    throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\");\n  }, e.prototype.debugValidate = function () {\n    null != this.program && validateProgram(this.gl, this.program), validateFramebuffer(this.gl);\n  }, e.prototype.executeProgram = function () {\n    this.throwIfDisposed(), this.throwIfNoProgram();var e = this.gl;this.autoDebugValidate && this.debugValidate(), callAndCheck(e, function () {\n      return e.drawElements(e.TRIANGLES, 6, e.UNSIGNED_SHORT, 0);\n    });\n  }, e.prototype.blockUntilAllProgramsCompleted = function () {\n    var e = this;this.throwIfDisposed(), callAndCheck(this.gl, function () {\n      return e.gl.finish();\n    });\n  }, e.prototype.getQueryTimerExtension = function () {\n    return null == this.disjointQueryTimerExtension && (this.disjointQueryTimerExtension = getExtensionOrThrow(this.gl, 2 === ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") ? \"EXT_disjoint_timer_query_webgl2\" : \"EXT_disjoint_timer_query\")), this.disjointQueryTimerExtension;\n  }, e.prototype.getQueryTimerExtensionWebGL2 = function () {\n    return this.getQueryTimerExtension();\n  }, e.prototype.getQueryTimerExtensionWebGL1 = function () {\n    return this.getQueryTimerExtension();\n  }, e.prototype.runQuery = function (e) {\n    var t = this.beginQuery();return e(), this.endQuery(), this.pollQueryTime(t);\n  }, e.prototype.beginQuery = function () {\n    if (2 === ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")) {\n      var e = this.gl,\n          t = this.getQueryTimerExtensionWebGL2(),\n          n = e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT, n), n;\n    }var r = this.getQueryTimerExtensionWebGL1(),\n        a = r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT, a), a;\n  }, e.prototype.endQuery = function () {\n    if (2 !== ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")) {\n      var e = this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT);\n    } else {\n      var t = this.gl,\n          n = this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);\n    }\n  }, e.prototype.isQueryAvailable = function (e, t) {\n    if (0 === t) return !0;if (2 === t) {\n      var n = this.gl,\n          r = this.getQueryTimerExtensionWebGL2(),\n          a = n.getQueryParameter(e, n.QUERY_RESULT_AVAILABLE);return null == this.disjoint && (this.disjoint = this.gl.getParameter(r.GPU_DISJOINT_EXT)), a && !this.disjoint;\n    }a = (r = this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e, r.QUERY_RESULT_AVAILABLE_EXT);return null == this.disjoint && (this.disjoint = this.gl.getParameter(r.GPU_DISJOINT_EXT)), a && !this.disjoint;\n  }, e.prototype.pollQueryTime = function (e) {\n    var t = this;return new Promise(function (n) {\n      var r = ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\");t.addItemToPoll(function () {\n        return t.isQueryAvailable(e, r);\n      }, function () {\n        return n(t.getQueryTime(e, r));\n      });\n    });\n  }, e.prototype.pollItems = function () {\n    for (var e = binSearchLastTrue(this.itemsToPoll.map(function (e) {\n      return e.isDoneFn;\n    })), t = 0; t <= e; ++t) {\n      (0, this.itemsToPoll[t].resolveFn)();\n    }this.itemsToPoll = this.itemsToPoll.slice(e + 1);\n  }, e.prototype.addItemToPoll = function (e, t) {\n    var n = this;this.itemsToPoll.push({ isDoneFn: e, resolveFn: t }), this.itemsToPoll.length > 1 || repeatedTry(function () {\n      return n.pollItems(), 0 === n.itemsToPoll.length;\n    });\n  }, e.prototype.getQueryTime = function (e, t) {\n    if (0 === t) return null;if (2 === t) {\n      var n = this.gl;return n.getQueryParameter(e, n.QUERY_RESULT) / 1e6;\n    }var r = this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e, r.QUERY_RESULT_EXT) / 1e6;\n  }, e.prototype.downloadMatrixDriverSetup = function (e) {\n    this.throwIfDisposed(), bindColorTextureToFramebuffer(this.gl, e, this.framebuffer), this.autoDebugValidate && validateFramebuffer(this.gl);\n  }, e.prototype.downloadMatrixDriverTeardown = function () {\n    null != this.outputTexture ? (bindColorTextureToFramebuffer(this.gl, this.outputTexture, this.framebuffer), this.autoDebugValidate && validateFramebuffer(this.gl)) : unbindColorTextureFromFramebuffer(this.gl, this.framebuffer);\n  }, e.prototype.downloadMatrixDriver = function (e, t) {\n    this.downloadMatrixDriverSetup(e);var n = t();return this.downloadMatrixDriverTeardown(), n;\n  }, e.prototype.downloadMatrixDriverAsync = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n;return __generator(this, function (r) {\n        switch (r.label) {case 0:\n            return this.downloadMatrixDriverSetup(e), [4, t()];case 1:\n            return n = r.sent(), this.downloadMatrixDriverTeardown(), [2, n];}\n      });\n    });\n  }, e.prototype.setOutputMatrixTextureDriver = function (e, t, n) {\n    this.throwIfDisposed();var r = this.gl;bindColorTextureToFramebuffer(r, e, this.framebuffer), this.autoDebugValidate && validateFramebuffer(r), this.outputTexture = e, callAndCheck(r, function () {\n      return r.viewport(0, 0, t, n);\n    }), callAndCheck(r, function () {\n      return r.scissor(0, 0, t, n);\n    });\n  }, e.prototype.setOutputMatrixWriteRegionDriver = function (e, t, n, r) {\n    var a = this;this.throwIfDisposed(), callAndCheck(this.gl, function () {\n      return a.gl.scissor(e, t, n, r);\n    });\n  }, e.prototype.throwIfDisposed = function () {\n    if (this.disposed) throw new Error(\"Attempted to use disposed GPGPUContext.\");\n  }, e.prototype.throwIfNoProgram = function () {\n    if (null == this.program) throw new Error(\"No GPU program is currently set.\");\n  }, e;\n}();function binSearchLastTrue(e) {\n  for (var t = 0, n = e.length - 1, r = -1; t <= n;) {\n    var a = t + n >> 1;e[a]() ? (r = a, t = a + 1) : n = a - 1;\n  }return r;\n}function compileProgram(e, t, n, r) {\n  for (var a = t.userCode, o = n.map(function (e, n) {\n    var r = { logicalShape: e.tensor.shape, texShape: e.isUniform ? null : e.texData.texShape, isUniform: e.isUniform };return { name: t.variableNames[n], shapeInfo: r };\n  }), i = o.map(function (e) {\n    return e.shapeInfo;\n  }), s = { logicalShape: r.tensor.shape, texShape: r.texData.texShape, isUniform: !1 }, u = makeShader(o, s, a, !0 === t.supportsBroadcasting), l = e.createProgram(u), c = {}, d = 0; d < t.variableNames.length; d++) {\n    var p = t.variableNames[d];c[p] = e.getUniformLocation(l, p, !1);\n  }return { program: t, source: u, webGLProgram: l, uniformLocations: c, gpgpu: e, inShapeInfos: i, outShapeInfo: s };\n}function validateBinaryAndProgram(e, t) {\n  if (e.length !== t.length) throw Error(\"Binary was compiled with \" + e.length + \" inputs, but was executed with \" + t.length + \" inputs\");e.forEach(function (e, n) {\n    var r = e.logicalShape,\n        a = t[n],\n        o = a.tensor.shape;if (!arraysEqual(r, o)) throw Error(\"Binary was compiled with different shapes than the current args. Shapes \" + r + \" and \" + o + \" must match\");if (!e.isUniform || !a.isUniform) {\n      var i = e.texShape,\n          s = a.isUniform ? null : a.texData.texShape;if (!arraysEqual(i, s)) throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \" + i + \" and \" + s + \" must match\");\n    }\n  });\n}function runProgram(e, t, n, r) {\n  validateBinaryAndProgram(e.inShapeInfos, t), validateBinaryAndProgram([e.outShapeInfo], [n]);var a = n.texData.texture,\n      o = n.texData.texShape,\n      i = e.gpgpu;i.setOutputMatrixTexture(a, o[0], o[1]), i.setProgram(e.webGLProgram), t.forEach(function (t, n) {\n    var r = e.program.variableNames[n],\n        a = e.uniformLocations[r];if (null != a) {\n      if (t.isUniform) {\n        if (1 === t.tensor.size) i.gl.uniform1f(a, t.tensor.dataSync()[0]);else {\n          var o = t.tensor.dataSync();o instanceof Float32Array || (o = new Float32Array(o)), i.gl.uniform1fv(a, o);\n        }return;\n      }var s = t.texData.texture;i.setInputMatrixTexture(s, a, n);\n    }\n  }), null != r && r(i, e.webGLProgram), i.executeProgram();\n}function makeShaderKey(e, t, n) {\n  var r = \"\";t.concat(n).forEach(function (e) {\n    r += e.tensor.shape + \"_\" + (e.isUniform ? \"uniform\" : e.texData.texShape);\n  });var a = e.userCode,\n      o = (!0 === e.supportsBroadcasting).toString(),\n      i = e.constructor.name;return i += \"_\" + o + \"_\" + r + \"_\" + a;\n}var WhereProgram = function () {\n  return function (e, t, n) {\n    var r, a;if (this.variableNames = [\"c\", \"a\", \"b\"], this.outputShape = t, n > 4) throw Error(\"Where for rank \" + n + \" is not yet supported\");if (1 === n) a = \"resRC\", r = \"resRC\";else {\n      for (var o = [\"resRC.x\", \"resRC.y\", \"resRC.z\", \"resRC.w\"], i = [], s = [], u = 0; u < t.length; u++) s.push(\"\" + o[u]), u < e && i.push(\"\" + o[u]);r = i.join(), a = s.join();\n    }var l = getCoordsDataType(n);this.userCode = \"\\n      void main() {\\n        \" + l + \" resRC = getOutputCoords();\\n        float cVal = getC(\" + r + \");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\" + a + \"));\\n        } else {\\n          setOutput(getB(\" + a + \"));\\n        }\\n      }\\n    \";\n  };\n}(),\n    LRNProgram = function () {\n  return function (e, t, n, r, a) {\n    this.variableNames = [\"x\"], this.outputShape = [];var o,\n        i = t,\n        s = e[3] - 1;this.outputShape = e;var u = \"float(\" + n + \") + float(\" + r + \") * sum\";o = .5 === a ? \"inversesqrt(\" + u + \")\" : 1 === a ? \"1.0/(\" + u + \")\" : \"exp(log(\" + u + \") * float(-\" + a + \"));\", this.userCode = \"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\" + i + \"; j <= \" + i + \"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \" + s + \") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \" + o + \";\\n        setOutput(val);\\n      }\\n    \";\n  };\n}(),\n    MaxPool2DBackpropProgram = function () {\n  return function (e) {\n    this.variableNames = [\"dy\", \"maxPos\"], this.outputShape = e.inShape;var t = e.filterHeight,\n        n = e.filterWidth,\n        r = e.strideHeight,\n        a = e.strideWidth,\n        o = t - 1 - e.padInfo.top,\n        i = n - 1 - e.padInfo.left,\n        s = t * n - 1;this.userCode = \"\\n      const ivec2 pads = ivec2(\" + o + \", \" + i + \");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \" + t + \"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \" + r + \".0;\\n\\n          if (dyR < 0.0 || dyR >= \" + e.outHeight + \".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \" + n + \"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \" + a + \".0;\\n\\n            if (dyC < 0.0 || dyC >= \" + e.outWidth + \".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \" + s + \" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \" + n + \" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \";\n  };\n}(),\n    MatMulProgram = function () {\n  return function (e, t, n, r) {\n    void 0 === n && (n = !1), void 0 === r && (r = !1), this.variableNames = [\"matrixA\", \"matrixB\"];var a = n ? e[1] : e[0],\n        o = r ? t[0] : t[1],\n        i = n ? e[0] : e[1];this.outputShape = [a, o];var s = function (e, t) {\n      return n ? t + \" + \" + e + \", aRow\" : \"aRow, \" + t + \" + \" + e;\n    },\n        u = function (e, t) {\n      return r ? \"bCol, \" + t + \" + \" + e : t + \" + \" + e + \", bCol\";\n    },\n        l = 4 * Math.floor(i / 4),\n        c = i % 4;this.userCode = \" float dotARowBCol(int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \" + l + \"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\" + s(0, \"i\") + \"),\\n          getMatrixA(\" + s(1, \"i\") + \"),\\n          getMatrixA(\" + s(2, \"i\") + \"),\\n          getMatrixA(\" + s(3, \"i\") + \")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\" + u(0, \"i\") + \"),\\n          getMatrixB(\" + u(1, \"i\") + \"),\\n          getMatrixB(\" + u(2, \"i\") + \"),\\n          getMatrixB(\" + u(3, \"i\") + \")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\" + (1 === c) + \") {\\n        result += getMatrixA(\" + s(0, l) + \") *\\n          getMatrixB(\" + u(0, l) + \");\\n      } else if (\" + (2 === c) + \") {\\n        vec2 a = vec2(\\n          getMatrixA(\" + s(0, l) + \"),\\n          getMatrixA(\" + s(1, l) + \")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\" + u(0, l) + \"),\\n          getMatrixB(\" + u(1, l) + \")\\n        );\\n        result += dot(a, b);\\n      } else if (\" + (3 === c) + \") {\\n        vec3 a = vec3(\\n          getMatrixA(\" + s(0, l) + \"),\\n          getMatrixA(\" + s(1, l) + \"),\\n          getMatrixA(\" + s(2, l) + \")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\" + u(0, l) + \"),\\n          getMatrixB(\" + u(1, l) + \"),\\n          getMatrixB(\" + u(2, l) + \")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec2 resRC = getOutputCoords();\\n      setOutput(dotARowBCol(resRC.x, resRC.y));\\n    }\\n    \";\n  };\n}(),\n    MultinomialProgram = function () {\n  function e(e, t, n) {\n    this.variableNames = [\"probs\"], this.outputShape = [e, n], this.userCode = \"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \" + (t - 1) + \"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\" + (t - 1) + \"));\\n      }\\n    \";\n  }return e.prototype.getCustomSetupFunc = function (e) {\n    var t = this;return function (n, r) {\n      null == t.seedLoc && (t.seedLoc = n.getUniformLocation(r, \"seed\")), n.gl.uniform1f(t.seedLoc, e);\n    };\n  }, e;\n}(),\n    OneHotProgram = function () {\n  return function (e, t, n, r) {\n    this.variableNames = [\"indices\"], this.outputShape = [e, t], this.userCode = \"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\" + r + \"), float(\" + n + \"),\\n                      float(index == coords.y)));\\n      }\\n    \";\n  };\n}(),\n    PadProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"x\"], this.outputShape = t.map(function (t, n) {\n      return t[0] + e[n] + t[1];\n    });var r = e.length,\n        a = getCoordsDataType(r),\n        o = t.map(function (e) {\n      return e[0];\n    }).join(\",\"),\n        i = t.map(function (t, n) {\n      return t[0] + e[n];\n    }).join(\",\"),\n        s = [\"coords[0]\", \"coords[1]\", \"coords[2]\", \"coords[3]\"].slice(0, r);this.userCode = 1 !== r ? \"\\n      \" + a + \" start = \" + a + \"(\" + o + \");\\n      \" + a + \" end = \" + a + \"(\" + i + \");\\n\\n      void main() {\\n        \" + a + \" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\" + n + \"));\\n        } else {\\n          \" + a + \" coords = outC - start;\\n          setOutput(getX(\" + s + \"));\\n        }\\n      }\\n    \" : \"\\n        int start = \" + o + \";\\n        int end = \" + i + \";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\" + n + \"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \";\n  };\n}(),\n    Pool2DProgram = function () {\n  return function (e, t, n) {\n    if (this.variableNames = [\"x\"], \"avg\" === t && n) throw new Error(\"Cannot compute positions for average pool.\");var r = e.filterHeight,\n        a = e.filterWidth,\n        o = e.strideHeight,\n        i = e.strideWidth,\n        s = e.padInfo.top,\n        u = e.padInfo.left;this.outputShape = e.outShape;var l = \"avg\" === t,\n        c = \"0.0\";if (l || (c = \"-1.0 / 0.0\"), n) this.userCode = \"\\n        const ivec2 strides = ivec2(\" + o + \", \" + i + \");\\n        const ivec2 pads = ivec2(\" + s + \", \" + u + \");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \" + r + \"; wR++) {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \" + e.inHeight + \") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \" + a + \"; wC++) {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \" + e.inWidth + \") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \" + a + \" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else {\n      var d = t + \"(\" + t + \"(\" + t + \"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\" === t && (d = \"avgValue / count\");var p = 4 * Math.floor(a / 4),\n          h = a % 4,\n          f = \"\\n      if (\" + l + \") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode = \"\\n      const ivec2 strides = ivec2(\" + o + \", \" + i + \");\\n      const ivec2 pads = ivec2(\" + s + \", \" + u + \");\\n      const float initializationValue = \" + c + \";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \" + e.inWidth + \") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\" + c + \");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \" + r + \"; wR++) {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \" + e.inHeight + \") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \" + p + \"; wC += 4) {\\n            int xC = xCCorner + wC;\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              getValue(batch, xR, xC + 3, d)\\n            );\\n\\n            \" + f + \"\\n          }\\n\\n          int xC = xCCorner + \" + p + \";\\n          if (\" + (1 === h) + \") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \" + f + \"\\n          } else if (\" + (2 === h) + \") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \" + f + \"\\n          } else if (\" + (3 === h) + \") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              initializationValue\\n            );\\n\\n            \" + f + \"\\n          }\\n        }\\n        setOutput(\" + d + \");\\n      }\\n    \";\n    }\n  };\n}(),\n    ReduceProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"x\"];var n = e.windowSize,\n        r = e.batchSize,\n        a = e.inSize,\n        o = Math.ceil(a / n);this.outputShape = [r, o];var i = \"0.0\",\n        s = \"\";\"min\" === t ? (i = \"1.0 / 0.0\", s = \"min\") : \"max\" === t && (i = \"-1.0 / 0.0\", s = \"max\");var u = t + \"(\" + t + \"(\" + t + \"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\" === t ? u = \"sumValue\" : \"all\" === t && (u = \"allValue\");var l = 4 * Math.floor(n / 4),\n        c = n % 4,\n        d = \"\\n      if (\" + (\"sum\" === t) + \") {\\n        sumValue += dot(values, ones);\\n      } else {\\n        minMaxValue = \" + s + \"(values, minMaxValue);\\n      }\\n    \",\n        p = \"vec4\";\"all\" === t && (i = \"1.0\", d = \"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \", p = \"bvec4\");var h = \"\";a % n > 0 && (h = \"\\n        if (inIdx < 0 || inIdx >= \" + a + \") {\\n          return initializationValue;\\n        }\\n      \"), this.userCode = \"\\n      const float initializationValue = \" + i + \";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \" + h + \"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \" + n + \";\\n\\n        vec4 minMaxValue = vec4(\" + i + \");\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n\\n        for (int i = 0; i < \" + l + \"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \" + p + \" values = \" + p + \"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \" + d + \"\\n        }\\n\\n        int inIdx = inOffset + \" + l + \";\\n        if (\" + (1 === c) + \") {\\n          \" + p + \" values = \" + p + \"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \" + d + \"\\n        } else if (\" + (2 === c) + \") {\\n          \" + p + \" values = \" + p + \"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \" + d + \"\\n        } else if (\" + (3 === c) + \") {\\n          \" + p + \" values = \" + p + \"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \" + d + \"\\n        }\\n        setOutput(\" + u + \");\\n      }\\n    \";\n  };\n}(),\n    ResizeBilinearBackpropProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"dy\"], this.outputShape = [], this.outputShape = t.shape;var r = t.shape,\n        a = r[1],\n        o = r[2],\n        i = e.shape,\n        s = i[1],\n        u = i[2],\n        l = [n && s > 1 ? a - 1 : a, n && u > 1 ? o - 1 : o],\n        c = [n && s > 1 ? s - 1 : s, n && u > 1 ? u - 1 : u],\n        d = l[0] / c[0],\n        p = l[1] / c[1],\n        h = 1 / d,\n        f = 1 / p,\n        g = 2 * Math.ceil(h) + 2,\n        m = 2 * Math.ceil(f) + 2;this.userCode = \"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\" + d + \");\\n        const float widthScale = float(\" + p + \");\\n\\n        const float invHeightScale = float(\" + h + \");\\n        const float invWidthScale = float(\" + f + \");\\n\\n        const int winHeight = int(\" + g + \");\\n        const int winWidth = int(\" + m + \");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \" + s + \") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \" + u + \") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \" + (a - 1) + \".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \" + (o - 1) + \".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \";\n  };\n}(),\n    ResizeBilinearProgram = function () {\n  return function (e, t, n, r) {\n    this.variableNames = [\"A\"], this.outputShape = [];var a = e[0],\n        o = e[1],\n        i = e[2],\n        s = e[3];this.outputShape = [a, t, n, s];var u = [r && t > 1 ? o - 1 : o, r && n > 1 ? i - 1 : i],\n        l = [r && t > 1 ? t - 1 : t, r && n > 1 ? n - 1 : n];this.userCode = \"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \" + u[0] / l[0] + \",\\n          \" + u[1] / l[1] + \");\\n      const vec2 inputShapeRC = vec2(\" + o + \".0, \" + i + \".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \";\n  };\n}(),\n    ResizeNearestNeighborProgram = function () {\n  return function (e, t, n, r) {\n    this.variableNames = [\"A\"], this.outputShape = [];var a = e[0],\n        o = e[1],\n        i = e[2],\n        s = e[3];this.outputShape = [a, t, n, s];var u = r ? [o - 1, i - 1] : [o, i],\n        l = r ? [t - 1, n - 1] : [t, n],\n        c = r ? \"0.5\" : \"0.0\";this.userCode = \"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \" + u[0] / l[0] + \",\\n          \" + u[1] / l[1] + \");\\n      const vec2 inputShapeRC = vec2(\" + o + \".0, \" + i + \".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \" + c + \")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \";\n  };\n}(),\n    ReverseProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"x\"];var n = e.length;if (n > 4) throw new Error(\"WebGL backend: Reverse of rank-\" + n + \" tensor is not yet supported\");if (this.outputShape = e, 1 !== n) {\n      var r = e.map(function (n, r) {\n        return function (n) {\n          return -1 !== t.indexOf(n) && 1 !== e[n] ? e[n] + \" - coords[\" + n + \"] - 1\" : \"coords[\" + n + \"]\";\n        }(r);\n      }).join(\",\"),\n          a = getCoordsDataType(n);this.userCode = \"\\n      void main() {\\n        \" + a + \" coords = getOutputCoords();\\n        setOutput(getX(\" + r + \"));\\n      }\\n    \";\n    } else this.userCode = \"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\" + e[0] + \" - coord - 1));\\n        }\\n      \";\n  };\n}(),\n    SegmentOpProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"x\", \"segmentIds\"];var n = e.windowSize,\n        r = e.batchSize,\n        a = e.inSize,\n        o = e.numSegments,\n        i = o * Math.ceil(a / n);this.outputShape = [r, i];var s = 4 * Math.floor(n / 4),\n        u = n % 4,\n        l = \"\\n        sumValue += dot(values, filter);\\n    \",\n        c = \"\";a % n > 0 && (c = \"\\n        if (inIdx < 0 || inIdx >= \" + a + \") {\\n          return initializationValue;\\n        }\\n      \");var d = \"\";a % n > 0 && (d = \"\\n        if (inIdx < 0 || inIdx >= \" + a + \") {\\n          return -1.0;\\n        }\\n      \"), this.userCode = \"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \" + c + \"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \" + d + \"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \" + o + \")) * float(\" + n + \"));\\n        int currentSeg = int(mod(float(outIdx), float(\" + o + \")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \" + s + \"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \" + l + \"\\n        }\\n\\n        int inIdx = inOffset + \" + s + \";\\n        if (\" + (1 === u) + \") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \" + l + \"\\n        } else if (\" + (2 === u) + \") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \" + l + \"\\n        } else if (\" + (3 === u) + \") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \" + l + \"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \";\n  };\n}(),\n    SliceProgram = function () {\n  function e(e) {\n    this.variableNames = [\"source\"], this.outputShape = e, this.rank = e.length;var t = getCoordsDataType(this.rank),\n        n = getCoords$1(this.rank);this.userCode = \"\\n      uniform \" + t + \" start;\\n\\n      void main() {\\n        \" + t + \" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\" + n + \"));\\n      }\\n    \";\n  }return e.prototype.getCustomSetupFunc = function (e) {\n    var t = this;if (e.length !== this.rank) throw Error(\"The rank (\" + this.rank + \") of the program must match the length of start (\" + e.length + \")\");return function (n, r) {\n      if (null != t.startLoc || (t.startLoc = n.getUniformLocationNoThrow(r, \"start\"), null != t.startLoc)) if (1 === t.rank) n.gl.uniform1i(t.startLoc, e[0]);else if (2 === t.rank) n.gl.uniform2i(t.startLoc, e[0], e[1]);else if (3 === t.rank) n.gl.uniform3i(t.startLoc, e[0], e[1], e[2]);else {\n        if (4 !== t.rank) throw Error(\"Slicing for rank \" + t.rank + \" is not yet supported\");n.gl.uniform4i(t.startLoc, e[0], e[1], e[2], e[3]);\n      }\n    };\n  }, e;\n}();function getCoords$1(e) {\n  if (1 === e) return \"sourceLoc\";if (2 === e) return \"sourceLoc.x, sourceLoc.y\";if (3 === e) return \"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if (4 === e) return \"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \" + e + \" is not yet supported\");\n}var StridedSliceProgram = function () {\n  return function (e, t, n) {\n    this.variableNames = [\"x\"], this.outputShape = n, this.rank = n.length;var r = getCoordsDataType(this.rank),\n        a = \"\";a = 1 === this.rank ? \"coords * strides + begin\" : n.map(function (e, t) {\n      return \"coords[\" + t + \"] * strides[\" + t + \"] + begin[\" + t + \"]\";\n    }).join(\",\"), this.userCode = \"\\n      \" + r + \" begin = \" + r + \"(\" + e + \");\\n      \" + r + \" strides = \" + r + \"(\" + t + \");\\n\\n      void main() {\\n        \" + r + \" coords = getOutputCoords();\\n        setOutput(getX(\" + a + \"));\\n      }\\n    \";\n  };\n}(),\n    TextureManager = function () {\n  function e(e) {\n    this.gpgpu = e, this.numUsedTextures = 0, this.numFreeTextures = 0, this.freeTextures = {}, this.logEnabled = !1, this.usedTextures = {};\n  }return e.prototype.acquireTexture = function (e, t) {\n    var n,\n        r = getPhysicalFromLogicalTextureType(t),\n        a = getKeyFromTextureShape(e, r);if (a in this.freeTextures || (this.freeTextures[a] = []), a in this.usedTextures || (this.usedTextures[a] = []), this.freeTextures[a].length > 0) {\n      this.numFreeTextures--, this.numUsedTextures++, this.log();var o = this.freeTextures[a].shift();return this.usedTextures[a].push(o), o;\n    }return this.numUsedTextures++, this.log(), r === PhysicalTextureType.FLOAT32 ? n = this.gpgpu.createFloat32MatrixTexture(e[0], e[1]) : r === PhysicalTextureType.FLOAT16 ? n = this.gpgpu.createFloat16MatrixTexture(e[0], e[1]) : r === PhysicalTextureType.UNSIGNED_BYTE && (n = this.gpgpu.createUnsignedBytesMatrixTexture(e[0], e[1])), this.usedTextures[a].push(n), n;\n  }, e.prototype.releaseTexture = function (e, t, n) {\n    var r = getKeyFromTextureShape(t, getPhysicalFromLogicalTextureType(n));r in this.freeTextures || (this.freeTextures[r] = []), this.freeTextures[r].push(e), this.numFreeTextures++, this.numUsedTextures--;var a = this.usedTextures[r],\n        o = a.indexOf(e);if (o < 0) throw new Error(\"Cannot release a texture that was never provided by this texture manager\");a.splice(o, 1), this.log();\n  }, e.prototype.log = function () {\n    if (this.logEnabled) {\n      var e = this.numFreeTextures + this.numUsedTextures;console.log(\"Free/Used\", this.numFreeTextures + \" / \" + this.numUsedTextures, \"(\" + e + \")\");\n    }\n  }, e.prototype.getNumUsedTextures = function () {\n    return this.numUsedTextures;\n  }, e.prototype.getNumFreeTextures = function () {\n    return this.numFreeTextures;\n  }, e.prototype.dispose = function () {\n    var e = this;if (null != this.freeTextures) {\n      for (var t in this.freeTextures) this.freeTextures[t].forEach(function (t) {\n        e.gpgpu.deleteMatrixTexture(t);\n      });for (var t in this.usedTextures) this.usedTextures[t].forEach(function (t) {\n        e.gpgpu.deleteMatrixTexture(t);\n      });this.freeTextures = null, this.usedTextures = null, this.numUsedTextures = 0, this.numFreeTextures = 0;\n    }\n  }, e;\n}();function getPhysicalFromLogicalTextureType(e) {\n  if (e === TextureUsage.DOWNLOAD || e === TextureUsage.PIXELS) return PhysicalTextureType.UNSIGNED_BYTE;if (e === TextureUsage.UPLOAD) return PhysicalTextureType.FLOAT32;if (e === TextureUsage.RENDER) return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\") ? PhysicalTextureType.FLOAT32 : PhysicalTextureType.FLOAT16;throw new Error(\"Unknown logical texture type \" + e);\n}function getKeyFromTextureShape(e, t) {\n  return e[0] + \"_\" + e[1] + \"_\" + t;\n}var TileProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"A\"];for (var n = new Array(e.length), r = 0; r < n.length; r++) n[r] = e[r] * t[r];this.outputShape = n, this.rank = n.length;var a = getCoordsDataType(this.rank),\n        o = getSourceCoords$1(e);this.userCode = \"\\n      void main() {\\n        \" + a + \" resRC = getOutputCoords();\\n        setOutput(getA(\" + o + \"));\\n      }\\n    \";\n  };\n}();function getSourceCoords$1(e) {\n  var t = e.length;if (t > 5) throw Error(\"Tile for rank \" + t + \" is not yet supported\");if (1 === t) return \"imod(resRC, \" + e[0] + \")\";for (var n = [\"resRC.x\", \"resRC.y\", \"resRC.z\", \"resRC.w\", \"resRC.u\"], r = [], a = 0; a < e.length; a++) r.push(\"imod(\" + n[a] + \", \" + e[a] + \")\");return r.join();\n}var TransposeProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"A\"];for (var n = new Array(e.length), r = 0; r < n.length; r++) n[r] = e[t[r]];this.outputShape = n, this.rank = n.length;var a = getCoordsDataType(this.rank),\n        o = getSwitchedCoords(t);this.userCode = \"\\n    void main() {\\n      \" + a + \" resRC = getOutputCoords();\\n      setOutput(getA(\" + o + \"));\\n    }\\n    \";\n  };\n}();function getSwitchedCoords(e) {\n  var t = e.length;if (t > 6) throw Error(\"Transpose for rank \" + t + \" is not yet supported\");for (var n = [\"resRC.x\", \"resRC.y\", \"resRC.z\", \"resRC.w\", \"resRC.u\", \"resRC.v\"], r = new Array(t), a = 0; a < e.length; a++) r[e[a]] = n[a];return r.join();\n}var ERF_P = .3275911,\n    ERF_A1 = .254829592,\n    ERF_A2 = -.284496736,\n    ERF_A3 = 1.421413741,\n    ERF_A4 = -1.453152027,\n    ERF_A5 = 1.061405429,\n    UnaryOpProgram = function () {\n  return function (e, t) {\n    this.variableNames = [\"A\"], this.outputShape = e, this.userCode = \"\\n      float unaryOperation(float x) {\\n        \" + t + \"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \";\n  };\n}(),\n    CHECK_NAN_SNIPPET$1 = \"if (isNaN(x)) return x;\",\n    ABS = \"return abs(x);\",\n    RELU = CHECK_NAN_SNIPPET$1 + \"\\n  return (x < 0.0) ? 0.0 : x;\\n\",\n    ELU = \"return (x >= 0.0) ? x : (exp(x) - 1.0);\",\n    SELU = \"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \" + SELU_SCALEALPHA + \";\\n  float scale = \" + SELU_SCALE + \";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function STEP(e) {\n  return void 0 === e && (e = 0), CHECK_NAN_SNIPPET$1 + \"\\n    return x > 0.0 ? 1.0 : float(\" + e + \");\\n  \";\n}var NEG = \"return -x;\",\n    CEIL = \"return ceil(x);\",\n    FLOOR = \"return floor(x);\",\n    SIGN = \"\\n  if (isNaN(x)) { return 0.0; }\\n  return sign(x);\\n\",\n    ROUND = \"\\n  // OpenGL ES does not support round function.\\n  // The algorithm is based on banker's rounding.\\n  float base = floor(x);\\n  if ((x - base) < 0.5) {\\n    return floor(x);\\n  } else if ((x - base) > 0.5) {\\n    return ceil(x);\\n  } else {\\n    if (mod(base, 2.0) == 0.0) {\\n      return base;\\n    } else {\\n      return base + 1.0;\\n    }\\n  }\\n\",\n    EXP = \"return exp(x);\",\n    EXPM1 = \"return exp(x) - 1.0;\",\n    LOG = \"return log(x);\",\n    LOG1P = \"return log(1.0 + x);\",\n    SQRT = \"return sqrt(x);\",\n    RSQRT = \"return inversesqrt(x);\",\n    SIGMOID = \"return 1.0 / (1.0 + exp(-1.0 * x));\",\n    SOFTPLUS = \"\\n  float epsilon = 1.1920928955078125e-7;\\n  float threshold = log(epsilon) + 2.0;\\n\\n  bool too_large = x > -threshold;\\n  bool too_small = x < threshold;\\n\\n  float result;\\n  float exp_x = exp(x);\\n\\n  if (too_large){\\n    result = x;\\n  }\\n  else if (too_small){\\n    result = exp_x;\\n  }\\n  else{\\n    result = log(exp_x + 1.0);\\n  }\\n  return result;\\n\",\n    SIN = CHECK_NAN_SNIPPET$1 + \"\\n  return sin(x);\\n\",\n    COS = CHECK_NAN_SNIPPET$1 + \"\\n  return cos(x);\\n\",\n    TAN = \"return tan(x);\",\n    ASIN = \"return asin(x);\",\n    ACOS = \"return acos(x);\",\n    ATAN = CHECK_NAN_SNIPPET$1 + \"\\n  return atan(x);\\n\",\n    SINH = \"\\n  float e2x = exp(x);\\n  return (e2x - 1.0 / e2x) / 2.0;\\n\",\n    COSH = \"\\n  float e2x = exp(-x);\\n  return (e2x + 1.0 / e2x) / 2.0;\\n\",\n    TANH = \"\\n  float e2x = exp(-2.0 * abs(x));\\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\\n\",\n    ASINH = \"return log(x + sqrt(x * x + 1.0));\",\n    ACOSH = \"return log(x + sqrt(x * x - 1.0));\",\n    ATANH = \"return (log(1.0 + x) - log(1.0 - x)) / 2.0;\",\n    ERF = '\\n  // Error function is calculated approximately with elementary function.\\n  // See \"Handbook of Mathematical Functions with Formulas,\\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\\n  float p = ' + ERF_P + \";\\n  float a1 = \" + ERF_A1 + \";\\n  float a2 = \" + ERF_A2 + \";\\n  float a3 = \" + ERF_A3 + \";\\n  float a4 = \" + ERF_A4 + \";\\n  float a5 = \" + ERF_A5 + \";\\n\\n  float t = 1.0 / (1.0 + p * x);\\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\\n\",\n    SQUARE = \"return x * x;\",\n    RECIPROCAL = \"return 1.0 / x;\",\n    LOGICAL_NOT = \"return float(!(x >= 1.0));\",\n    TO_INT = \"return float(int(x));\",\n    BEFORE_PAGING_CONSTANT = 300,\n    SIZE_UPLOAD_UNIFORM = 32,\n    MathBackendWebGL = function () {\n  function e(e, t) {\n    if (void 0 === t && (t = !0), this.gpgpu = e, this.delayedStorage = t, this.texData = new WeakMap(), this.pendingRead = new WeakMap(), this.pendingDisposal = new WeakSet(), this.lruDataGPU = [], this.numBytesInGPU = 0, this.uploadWaitMs = 0, this.downloadWaitMs = 0, this.binaryCache = {}, this.disposed = !1, ENV.get(\"WEBGL_VERSION\") < 1) throw new Error(\"WebGL is not supported on this device\");ENV.get(\"IS_BROWSER\") && (this.canvas = document.createElement(\"canvas\")), null == e ? (this.gpgpu = new GPGPUContext(createWebGLContext(this.canvas)), this.gpgpuCreatedLocally = !0) : this.gpgpuCreatedLocally = !1, this.NUM_BYTES_BEFORE_PAGING = window.screen.height * window.screen.width * window.devicePixelRatio * BEFORE_PAGING_CONSTANT, this.textureManager = new TextureManager(this.gpgpu);\n  }return e.prototype.register = function (e, t, n) {\n    if (this.texData.has(e)) throw new Error(\"Data buffer is already registered\");this.texData.set(e, { shape: t, dtype: n, values: null, texture: null, texShape: null, usage: TextureUsage.RENDER });\n  }, e.prototype.fromPixels = function (e, t) {\n    if (null == e) throw new Error(\"MathBackendWebGL.writePixels(): pixels can not be null\");var n = [e.height, e.width],\n        r = [e.height, e.width, t];if (e instanceof HTMLVideoElement) {\n      if (null == this.fromPixelsCanvas) {\n        if (!ENV.get(\"IS_BROWSER\")) throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if (\"complete\" !== document.readyState) throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixelsCanvas = document.createElement(\"canvas\");\n      }this.fromPixelsCanvas.width = e.width, this.fromPixelsCanvas.height = e.height, this.fromPixelsCanvas.getContext(\"2d\").drawImage(e, 0, 0, e.width, e.height), e = this.fromPixelsCanvas;\n    }var a = Tensor.make(n, {}, \"int32\");this.texData.get(a.dataId).usage = TextureUsage.PIXELS, this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId), e);var o = new FromPixelsProgram(r),\n        i = this.compileAndRun(o, [a]);return a.dispose(), i;\n  }, e.prototype.write = function (e, t) {\n    if (null == t) throw new Error(\"MathBackendWebGL.write(): values can not be null\");this.throwIfNoData(e);var n = this.texData.get(e),\n        r = n.texture,\n        a = n.texShape,\n        o = n.usage;null != r && (this.releaseTexture(e, r, a, o), n.texture = null, n.texShape = null), n.usage = TextureUsage.UPLOAD, n.values = t, this.delayedStorage || this.uploadToGPU(e);\n  }, e.prototype.readSync = function (e) {\n    this.throwIfNoData(e);var t = this.texData.get(e),\n        n = t.shape,\n        r = t.texture,\n        a = t.values,\n        o = t.texShape,\n        i = t.dtype;if (null != a) return this.cacheOnCPU(e), a;var s,\n        u,\n        l = null != this.activeTimers;if (l && (s = performance.now()), ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\")) u = this.gpgpu.downloadFloat32MatrixFromOutputTexture(r, o[0], o[1]);else {\n      var c = Tensor.make(n, {});this.texData.get(c.dataId).usage = TextureUsage.DOWNLOAD;var d = Tensor.make(n, { dataId: e }, i),\n          p = new EncodeFloatProgram(n),\n          h = this.compileAndRun(p, [d], c),\n          f = this.texData.get(c.dataId);u = this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture, f.texShape[0], f.texShape[1]), h.dispose(), d.dispose(), c.dispose();\n    }return l && (this.downloadWaitMs += performance.now() - s), this.cacheOnCPU(e, u), t.values;\n  }, e.prototype.read = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n, r, a, o, i, s, u;return __generator(this, function (l) {\n        switch (l.label) {case 0:\n            return this.pendingRead.has(e) ? (t = this.pendingRead.get(e), [2, new Promise(function (e) {\n              return t.push(e);\n            })]) : (this.throwIfNoData(e), n = this.texData.get(e), r = n.texture, a = n.values, o = n.texShape, null != a ? (this.cacheOnCPU(e), [2, a]) : ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\") ? [4, this.gpgpu.downloadMatrixFromTextureAsync(r, o[0], o[1])] : [3, 2]);case 1:\n            return i = l.sent(), this.cacheOnCPU(e, i), [2, n.values];case 2:\n            return 0 === ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") ? [2, this.readSync(e)] : (this.pendingRead.set(e, []), [4, this.gpgpu.runQuery(function () {})]);case 3:\n            return l.sent(), s = this.pendingRead.get(e), this.pendingRead.delete(e), u = this.readSync(e), s.forEach(function (e) {\n              return e(u);\n            }), this.pendingDisposal.has(e) && (this.pendingDisposal.delete(e), this.disposeData(e)), [2, u];}\n      });\n    });\n  }, e.prototype.time = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n, r, a, o, i;return __generator(this, function (s) {\n        switch (s.label) {case 0:\n            return t = this.activeTimers, n = [], r = !1, null == this.programTimersStack ? (this.programTimersStack = n, r = !0) : this.activeTimers.push(n), this.activeTimers = n, e(), a = flatten(this.activeTimers), this.activeTimers = t, r && (this.programTimersStack = null), [4, Promise.all(a).then(function (e) {\n              var t = 0;return e.forEach(function (e) {\n                return t += e;\n              }), t;\n            })];case 1:\n            return o = s.sent(), i = { uploadWaitMs: this.uploadWaitMs, downloadWaitMs: this.downloadWaitMs, kernelMs: o, wallMs: null }, this.uploadWaitMs = 0, this.downloadWaitMs = 0, [2, i];}\n      });\n    });\n  }, e.prototype.memory = function () {\n    return { unreliable: !1, numBytesInGPU: this.numBytesInGPU };\n  }, e.prototype.startTimer = function () {\n    return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") > 0 ? this.gpgpu.beginQuery() : { startMs: performance.now(), endMs: null };\n  }, e.prototype.endTimer = function (e) {\n    return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") > 0 ? (this.gpgpu.endQuery(), e) : (e.endMs = performance.now(), e);\n  }, e.prototype.getQueryTime = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t;return __generator(this, function (n) {\n        return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\") > 0 ? [2, this.gpgpu.pollQueryTime(e)] : [2, (t = e).endMs - t.startMs];\n      });\n    });\n  }, e.prototype.disposeData = function (e) {\n    if (!this.pendingDisposal.has(e)) if (this.pendingRead.has(e)) this.pendingDisposal.add(e);else if (this.texData.has(e)) {\n      var t = this.texData.get(e),\n          n = t.texture,\n          r = t.texShape,\n          a = t.usage;null != n && this.releaseTexture(e, n, r, a), this.texData.delete(e);\n    }\n  }, e.prototype.getTexture = function (e) {\n    return this.uploadToGPU(e), this.texData.get(e).texture;\n  }, e.prototype.getGPGPUContext = function () {\n    return this.gpgpu;\n  }, e.prototype.getCanvas = function () {\n    return this.canvas;\n  }, e.prototype.slice = function (e, t, n) {\n    var r = new SliceProgram(n),\n        a = r.getCustomSetupFunc(t);return this.compileAndRun(r, [e], null, a);\n  }, e.prototype.stridedSlice = function (e, t, n, r, a, o) {\n    var i = getStridedSlicedInfo(e.shape, t, n, r, a, o),\n        s = i[0],\n        u = i[1];if (u.some(function (e) {\n      return 0 === e;\n    })) return tensor([], u);var l = new StridedSliceProgram(s, r, u);return this.compileAndRun(l, [e]);\n  }, e.prototype.reverse = function (e, t) {\n    var n = new ReverseProgram(e.shape, t);return this.compileAndRun(n, [e]);\n  }, e.prototype.concat = function (e, t) {\n    var n = new ConcatProgram(e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.neg = function (e) {\n    var t = new UnaryOpProgram(e.shape, NEG);return this.compileAndRun(t, [e]);\n  }, e.prototype.matMul = function (e, t, n, r) {\n    var a = new MatMulProgram(e.shape, t.shape, n, r);return this.compileAndRun(a, [e, t]);\n  }, e.prototype.multiply = function (e, t) {\n    var n = new BinaryOpProgram(MUL, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.batchNormalization = function (e, t, n, r, a, o) {\n    var i = [e, t, n],\n        s = null;null != o && (s = o.shape, i.push(o));var u = null;null != a && (u = a.shape, i.push(a));var l = new BatchNormProgram(e.shape, t.shape, n.shape, s, u, r);return this.compileAndRun(l, i);\n  }, e.prototype.localResponseNormalization4D = function (e, t, n, r, a) {\n    var o = new LRNProgram(e.shape, t, n, r, a);return this.compileAndRun(o, [e]);\n  }, e.prototype.tile = function (e, t) {\n    var n = new TileProgram(e.shape, t);return this.compileAndRun(n, [e]);\n  }, e.prototype.pad = function (e, t, n) {\n    var r = new PadProgram(e.shape, t, n);return this.compileAndRun(r, [e]);\n  }, e.prototype.transpose = function (e, t) {\n    var n = new TransposeProgram(e.shape, t);return this.compileAndRun(n, [e]);\n  }, e.prototype.gather = function (e, t, n) {\n    var r = new GatherProgram(e.shape, t.size, n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.reduce = function (e, t, n) {\n    var r = e.shape[0],\n        a = e.shape[1],\n        o = computeOptimalWindowSize(a),\n        i = new ReduceProgram({ windowSize: o, inSize: a, batchSize: r }, t),\n        s = i.outputShape,\n        u = s[0],\n        l = s[1],\n        c = this.makeOutputArray([u, l], n);return this.compileAndRun(i, [e], c), 1 === c.shape[1] ? c : this.reduce(c, t, n);\n  }, e.prototype.argReduce = function (e, t, n) {\n    void 0 === n && (n = null);var r = e.shape[0],\n        a = e.shape[1];null != n && (r = n.shape[0], a = n.shape[1]);var o = computeOptimalWindowSize(a),\n        i = new ArgMinMaxProgram({ windowSize: o, inSize: a, batchSize: r }, t, null == n),\n        s = i.outputShape,\n        u = s[0],\n        l = s[1],\n        c = this.makeOutputArray([u, l], \"int32\"),\n        d = [e];return null != n && d.push(n), this.compileAndRun(i, d, c), 1 === c.shape[1] ? c : this.argReduce(e, t, c);\n  }, e.prototype.sum = function (e, t) {\n    assertAxesAreInnerMostDims(\"sum\", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),\n        r = n[0],\n        a = sizeFromShape(n[1]),\n        o = e.as2D(-1, a),\n        i = sumOutType(e.dtype);return this.reduce(o, \"sum\", i).reshape(r);\n  }, e.prototype.unsortedSegmentSum = function (e, t, n) {\n    var r = 0,\n        a = getAxesPermutation([r], e.rank),\n        o = e;null != a && (o = e.transpose(a), r = getInnerMostAxes(1, e.rank)[0]);var i = computeOutShape$1(o.shape, r, n),\n        s = sizeFromShape([o.shape[r]]),\n        u = o.as2D(-1, s),\n        l = sumOutType(e.dtype),\n        c = this.segOpCompute(u, \"unsortedSegmentSum\", t, l, n).reshape(i);return null != a && (c = c.transpose(getUndoAxesPermutation(a))), c;\n  }, e.prototype.segOpCompute = function (e, t, n, r, a) {\n    var o = e.shape[0],\n        i = e.shape[1],\n        s = segOpComputeOptimalWindowSize(i, a),\n        u = new SegmentOpProgram({ windowSize: s, inSize: i, batchSize: o, numSegments: a }, t),\n        l = u.outputShape,\n        c = l[0],\n        d = l[1],\n        p = this.makeOutputArray([c, d], r);return this.compileAndRun(u, [e, n], p), p.shape[1] === a ? p : (n = range(0, a).tile([i / s]), this.segOpCompute(p, t, n, r, a));\n  }, e.prototype.argMin = function (e, t) {\n    var n = [t];assertAxesAreInnerMostDims(\"argMin\", n, e.rank);var r = computeOutAndReduceShapes(e.shape, n),\n        a = r[0],\n        o = sizeFromShape(r[1]),\n        i = e.as2D(-1, o);return this.argReduce(i, \"min\").reshape(a);\n  }, e.prototype.argMax = function (e, t) {\n    var n = [t];assertAxesAreInnerMostDims(\"argMax\", n, e.rank);var r = computeOutAndReduceShapes(e.shape, n),\n        a = r[0],\n        o = sizeFromShape(r[1]),\n        i = e.as2D(-1, o);return this.argReduce(i, \"max\").reshape(a);\n  }, e.prototype.cumsum = function (e, t, n, r) {\n    if (t !== e.rank - 1) throw new Error(\"WebGL cumsum shader expects an inner-most axis=\" + (e.rank - 1) + \" but got axis=\" + t);var a = new CumSumProgram(e.shape, n, r);return this.compileAndRun(a, [e]);\n  }, e.prototype.equal = function (e, t) {\n    var n = new BinaryOpProgram(EQUAL, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.notEqual = function (e, t) {\n    var n = new BinaryOpProgram(NOT_EQUAL, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.less = function (e, t) {\n    var n = new BinaryOpProgram(LESS, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.lessEqual = function (e, t) {\n    var n = new BinaryOpProgram(LESS_EQUAL, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.greater = function (e, t) {\n    var n = new BinaryOpProgram(GREATER, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.greaterEqual = function (e, t) {\n    var n = new BinaryOpProgram(GREATER_EQUAL, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.logicalNot = function (e) {\n    var t = new UnaryOpProgram(e.shape, LOGICAL_NOT);return this.compileAndRun(t, [e]);\n  }, e.prototype.logicalAnd = function (e, t) {\n    var n = new BinaryOpProgram(LOGICAL_AND, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.logicalOr = function (e, t) {\n    var n = new BinaryOpProgram(LOGICAL_OR, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"bool\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.where = function (e, t, n, r) {\n    var a = new WhereProgram(e.rank, t.shape, t.rank),\n        o = this.makeOutputArray(a.outputShape, r);return this.compileAndRun(a, [e, t, n], o);\n  }, e.prototype.topKValues = function (e, t) {\n    throw new Error(\"topKValues GPU not yet implemented!\");\n  }, e.prototype.topKIndices = function (e, t) {\n    throw new Error(\"topKIndices GPU not yet implemented!\");\n  }, e.prototype.min = function (e, t) {\n    assertAxesAreInnerMostDims(\"min\", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),\n        r = n[0],\n        a = sizeFromShape(n[1]),\n        o = e.as2D(-1, a);return this.reduce(o, \"min\", o.dtype).reshape(r);\n  }, e.prototype.minimum = function (e, t) {\n    var n = new BinaryOpProgram(MIN, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.mod = function (e, t) {\n    var n = new BinaryOpProgram(MOD, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.max = function (e, t) {\n    assertAxesAreInnerMostDims(\"max\", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),\n        r = n[0],\n        a = sizeFromShape(n[1]),\n        o = e.as2D(-1, a);return this.reduce(o, \"max\", o.dtype).reshape(r);\n  }, e.prototype.maximum = function (e, t) {\n    var n = new BinaryOpProgram(MAX, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.all = function (e, t) {\n    assertAxesAreInnerMostDims(\"all\", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),\n        r = n[0],\n        a = sizeFromShape(n[1]),\n        o = e.as2D(-1, a);return this.reduce(o, \"all\", o.dtype).reshape(r);\n  }, e.prototype.squaredDifference = function (e, t) {\n    var n = new BinaryOpProgram(SQUARED_DIFFERENCE, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.realDivide = function (e, t) {\n    var n = new BinaryOpProgram(DIV, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"float32\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.floorDiv = function (e, t) {\n    var n = new BinaryOpProgram(INT_DIV, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, \"int32\");return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.add = function (e, t) {\n    var n = new BinaryOpProgram(ADD, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.subtract = function (e, t) {\n    var n = new BinaryOpProgram(SUB, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.pow = function (e, t) {\n    var n = new BinaryOpProgram(POW, e.shape, t.shape),\n        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);\n  }, e.prototype.ceil = function (e) {\n    var t = new UnaryOpProgram(e.shape, CEIL);return this.compileAndRun(t, [e]);\n  }, e.prototype.floor = function (e) {\n    var t = new UnaryOpProgram(e.shape, FLOOR);return this.compileAndRun(t, [e]);\n  }, e.prototype.sign = function (e) {\n    var t = new UnaryOpProgram(e.shape, SIGN);return this.compileAndRun(t, [e]);\n  }, e.prototype.round = function (e) {\n    var t = new UnaryOpProgram(e.shape, ROUND);return this.compileAndRun(t, [e]);\n  }, e.prototype.exp = function (e) {\n    var t = new UnaryOpProgram(e.shape, EXP);return this.compileAndRun(t, [e]);\n  }, e.prototype.expm1 = function (e) {\n    var t = new UnaryOpProgram(e.shape, EXPM1);return this.compileAndRun(t, [e]);\n  }, e.prototype.log = function (e) {\n    var t = new UnaryOpProgram(e.shape, LOG);return this.compileAndRun(t, [e]);\n  }, e.prototype.log1p = function (e) {\n    var t = new UnaryOpProgram(e.shape, LOG1P);return this.compileAndRun(t, [e]);\n  }, e.prototype.sqrt = function (e) {\n    var t = new UnaryOpProgram(e.shape, SQRT);return this.compileAndRun(t, [e]);\n  }, e.prototype.rsqrt = function (e) {\n    var t = new UnaryOpProgram(e.shape, RSQRT);return this.compileAndRun(t, [e]);\n  }, e.prototype.square = function (e) {\n    var t = new UnaryOpProgram(e.shape, SQUARE);return this.compileAndRun(t, [e]);\n  }, e.prototype.reciprocal = function (e) {\n    var t = new UnaryOpProgram(e.shape, RECIPROCAL);return this.compileAndRun(t, [e]);\n  }, e.prototype.relu = function (e) {\n    var t = new UnaryOpProgram(e.shape, RELU);return this.compileAndRun(t, [e]);\n  }, e.prototype.elu = function (e) {\n    var t = new UnaryOpProgram(e.shape, ELU);return this.compileAndRun(t, [e]);\n  }, e.prototype.eluDer = function (e, t) {\n    var n = new BinaryOpProgram(ELU_DER, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.selu = function (e) {\n    var t = new UnaryOpProgram(e.shape, SELU);return this.compileAndRun(t, [e]);\n  }, e.prototype.int = function (e) {\n    var t = new UnaryOpProgram(e.shape, TO_INT),\n        n = this.makeOutputArray(t.outputShape, \"int32\");return this.compileAndRun(t, [e], n);\n  }, e.prototype.clip = function (e, t, n) {\n    var r = new ClipProgram(e.shape, t, n);return this.compileAndRun(r, [e]);\n  }, e.prototype.abs = function (e) {\n    var t = new UnaryOpProgram(e.shape, ABS);return this.compileAndRun(t, [e]);\n  }, e.prototype.sigmoid = function (e) {\n    var t = new UnaryOpProgram(e.shape, SIGMOID);return this.compileAndRun(t, [e]);\n  }, e.prototype.softplus = function (e) {\n    var t = new UnaryOpProgram(e.shape, SOFTPLUS);return this.compileAndRun(t, [e]);\n  }, e.prototype.sin = function (e) {\n    var t = new UnaryOpProgram(e.shape, SIN);return this.compileAndRun(t, [e]);\n  }, e.prototype.cos = function (e) {\n    var t = new UnaryOpProgram(e.shape, COS);return this.compileAndRun(t, [e]);\n  }, e.prototype.tan = function (e) {\n    var t = new UnaryOpProgram(e.shape, TAN);return this.compileAndRun(t, [e]);\n  }, e.prototype.asin = function (e) {\n    var t = new UnaryOpProgram(e.shape, ASIN);return this.compileAndRun(t, [e]);\n  }, e.prototype.acos = function (e) {\n    var t = new UnaryOpProgram(e.shape, ACOS);return this.compileAndRun(t, [e]);\n  }, e.prototype.atan = function (e) {\n    var t = new UnaryOpProgram(e.shape, ATAN);return this.compileAndRun(t, [e]);\n  }, e.prototype.atan2 = function (e, t) {\n    var n = new BinaryOpProgram(ATAN2, e.shape, t.shape);return this.compileAndRun(n, [e, t]);\n  }, e.prototype.sinh = function (e) {\n    var t = new UnaryOpProgram(e.shape, SINH);return this.compileAndRun(t, [e]);\n  }, e.prototype.cosh = function (e) {\n    var t = new UnaryOpProgram(e.shape, COSH);return this.compileAndRun(t, [e]);\n  }, e.prototype.tanh = function (e) {\n    var t = new UnaryOpProgram(e.shape, TANH);return this.compileAndRun(t, [e]);\n  }, e.prototype.asinh = function (e) {\n    var t = new UnaryOpProgram(e.shape, ASINH);return this.compileAndRun(t, [e]);\n  }, e.prototype.acosh = function (e) {\n    var t = new UnaryOpProgram(e.shape, ACOSH);return this.compileAndRun(t, [e]);\n  }, e.prototype.atanh = function (e) {\n    var t = new UnaryOpProgram(e.shape, ATANH);return this.compileAndRun(t, [e]);\n  }, e.prototype.erf = function (e) {\n    var t = new UnaryOpProgram(e.shape, ERF);return this.compileAndRun(t, [e]);\n  }, e.prototype.step = function (e, t) {\n    var n = new UnaryOpProgram(e.shape, STEP(t));return this.compileAndRun(n, [e]);\n  }, e.prototype.conv2d = function (e, t, n) {\n    var r = new Conv2DProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.conv2dDerInput = function (e, t, n) {\n    var r = new Conv2DDerInputProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.conv2dDerFilter = function (e, t, n) {\n    var r = new Conv2DDerFilterProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.depthwiseConv2D = function (e, t, n) {\n    var r = new DepthwiseConv2DProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.depthwiseConv2DDerInput = function (e, t, n) {\n    var r = new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.depthwiseConv2DDerFilter = function (e, t, n) {\n    var r = new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r, [e, t]);\n  }, e.prototype.maxPool = function (e, t) {\n    var n = new Pool2DProgram(t, \"max\", !1),\n        r = this.makeOutputArray(n.outputShape, e.dtype);return this.compileAndRun(n, [e], r);\n  }, e.prototype.avgPool = function (e, t) {\n    var n = new Pool2DProgram(t, \"avg\", !1),\n        r = this.makeOutputArray(n.outputShape, \"float32\");return this.compileAndRun(n, [e], r);\n  }, e.prototype.maxPoolBackprop = function (e, t, n, r) {\n    var a = new Pool2DProgram(r, \"max\", !0),\n        o = this.compileAndRun(a, [t]),\n        i = new MaxPool2DBackpropProgram(r),\n        s = this.makeOutputArray(i.outputShape, t.dtype),\n        u = this.compileAndRun(i, [e, o], s);return o.dispose(), u;\n  }, e.prototype.avgPoolBackprop = function (e, t, n) {\n    var r = new AvgPool2DBackpropProgram(n),\n        a = this.makeOutputArray(r.outputShape, t.dtype);return this.compileAndRun(r, [e], a);\n  }, e.prototype.cast = function (e, t) {\n    return castTensor(e, t, this);\n  }, e.prototype.reshape = function (e, t) {\n    return reshapeTensor(e, t);\n  }, e.prototype.resizeBilinear = function (e, t, n, r) {\n    var a = new ResizeBilinearProgram(e.shape, t, n, r);return this.compileAndRun(a, [e]);\n  }, e.prototype.resizeBilinearBackprop = function (e, t, n) {\n    var r = new ResizeBilinearBackpropProgram(e, t, n);return this.compileAndRun(r, [e]);\n  }, e.prototype.resizeNearestNeighbor = function (e, t, n, r) {\n    var a = new ResizeNearestNeighborProgram(e.shape, t, n, r);return this.compileAndRun(a, [e]);\n  }, e.prototype.multinomial = function (e, t, n, r) {\n    var a = t ? e : softmax(e),\n        o = a.shape[0],\n        i = a.shape[1],\n        s = new MultinomialProgram(o, i, n),\n        u = this.makeOutputArray(s.outputShape, \"int32\"),\n        l = s.getCustomSetupFunc(r);return this.compileAndRun(s, [a], u, l);\n  }, e.prototype.oneHot = function (e, t, n, r) {\n    var a = new OneHotProgram(e.size, t, n, r);return this.compileAndRun(a, [e]);\n  }, e.prototype.makeOutputArray = function (e, t) {\n    return Tensor.make(e, {}, t);\n  }, e.prototype.compileAndRun = function (e, t, n, r) {\n    var a = this;null == n && (n = this.makeOutputArray(e.outputShape, t[0].dtype));var o = t.map(function (e) {\n      var t = a.texData.get(e.dataId);return null == t.texture && e.size <= SIZE_UPLOAD_UNIFORM ? { tensor: e, texData: null, isUniform: !0 } : (a.uploadToGPU(e.dataId), { tensor: e, texData: t, isUniform: !1 });\n    });this.uploadToGPU(n.dataId);var i,\n        s = { tensor: n, texData: this.texData.get(n.dataId), isUniform: !1 },\n        u = makeShaderKey(e, o, s),\n        l = this.getAndSaveBinary(u, function () {\n      return compileProgram(a.gpgpu, e, o, s);\n    }),\n        c = null != this.activeTimers;if (c && (i = this.startTimer()), runProgram(l, o, s, r), this.numBytesInGPU > this.NUM_BYTES_BEFORE_PAGING) for (var d = this.numBytesInGPU - this.NUM_BYTES_BEFORE_PAGING; d > 0;) {\n      var p = this.lruDataGPU.shift(),\n          h = this.texData.get(p),\n          f = h.shape,\n          g = h.dtype;d -= this.computeBytes(f, g), this.read(p);\n    }return c && (i = this.endTimer(i), this.activeTimers.push(this.getQueryTime(i))), n;\n  }, e.prototype.getAndSaveBinary = function (e, t) {\n    return e in this.binaryCache || (this.binaryCache[e] = t()), this.binaryCache[e];\n  }, e.prototype.getTextureManager = function () {\n    return this.textureManager;\n  }, e.prototype.dispose = function () {\n    if (!this.disposed) {\n      for (var e in this.binaryCache) this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(), this.canvas.remove(), null != this.fromPixelsCanvas && this.fromPixelsCanvas.remove(), this.gpgpuCreatedLocally && this.gpgpu.dispose(), this.disposed = !0;\n    }\n  }, e.prototype.throwIfNoData = function (e) {\n    if (!this.texData.has(e)) throw new Error(\"WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\");\n  }, e.prototype.uploadToGPU = function (e) {\n    this.throwIfNoData(e);var t = this.texData.get(e),\n        n = t.shape,\n        r = t.values,\n        a = t.texture,\n        o = t.dtype,\n        i = t.usage;if (null != a) return this.lruDataGPU.splice(this.lruDataGPU.indexOf(e), 1), void this.lruDataGPU.push(e);var s,\n        u = null != this.activeTimers;u && (s = performance.now());var l = getTextureShapeFromLogicalShape(this.gpgpu.gl, n);t.texShape = l;var c = this.acquireTexture(e, l, i);t.texture = c, null != r && (this.gpgpu.uploadMatrixToTexture(c, l[0], l[1], typedArrayToFloat32(r, o)), t.values = null, u && (this.uploadWaitMs += performance.now() - s));\n  }, e.prototype.cacheOnCPU = function (e, t) {\n    var n = this.delayedStorage,\n        r = this.texData.get(e),\n        a = r.texture,\n        o = r.texShape,\n        i = r.dtype,\n        s = r.usage;n && null != a && (this.releaseTexture(e, a, o, s), r.texture = null, r.texShape = null), null != t && (r.values = float32ToTypedArray(t, i));\n  }, e.prototype.releaseTexture = function (e, t, n, r) {\n    var a = this.texData.get(e),\n        o = a.shape,\n        i = a.dtype,\n        s = this.lruDataGPU.indexOf(e);s >= 0 && this.lruDataGPU.splice(s, 1), this.numBytesInGPU -= this.computeBytes(o, i), this.textureManager.releaseTexture(t, n, r);\n  }, e.prototype.acquireTexture = function (e, t, n) {\n    var r = this.texData.get(e),\n        a = r.shape,\n        o = r.dtype;return this.lruDataGPU.push(e), this.numBytesInGPU += this.computeBytes(a, o), this.textureManager.acquireTexture(t, n);\n  }, e.prototype.computeBytes = function (e, t) {\n    return sizeFromShape(e) * bytesPerElement(t);\n  }, e;\n}();function float32ToTypedArray(e, t) {\n  if (\"float32\" === t) return e;if (\"int32\" === t || \"bool\" === t) {\n    for (var n = \"int32\" === t ? new Int32Array(e.length) : new Uint8Array(e.length), r = 0; r < n.length; ++r) n[r] = Math.round(e[r]);return n;\n  }throw new Error(\"Unknown dtype \" + t);\n}function typedArrayToFloat32(e, t) {\n  return e instanceof Float32Array ? e : new Float32Array(e);\n}ENV.get(\"IS_BROWSER\") && ENV.registerBackend(\"webgl\", function () {\n  return new MathBackendWebGL();\n}, 2);var MathBackendCPU = function () {\n  function e() {\n    this.data = new WeakMap(), this.firstUse = !0, ENV.get(\"IS_BROWSER\") && (this.canvas = document.createElement(\"canvas\"));\n  }return e.prototype.register = function (e, t, n) {\n    if (this.firstUse && (this.firstUse = !1, ENV.get(\"IS_NODE\") && console.warn(\"\\n============================\\nHi there đź‘‹. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")), this.data.has(e)) throw new Error(\"Data buffer is already registered\");this.data.set(e, null);\n  }, e.prototype.write = function (e, t) {\n    if (null == t) throw new Error(\"MathBackendCPU.write(): values can not be null\");this.throwIfNoData(e), this.data.set(e, t);\n  }, e.prototype.fromPixels = function (e, t) {\n    if (null == e) throw new Error(\"MathBackendCPU.writePixels(): pixels can not be null\");var n, r;if (e instanceof ImageData) n = e.data;else if (e instanceof HTMLCanvasElement) n = e.getContext(\"2d\").getImageData(0, 0, e.width, e.height).data;else {\n      if (!(e instanceof HTMLImageElement || e instanceof HTMLVideoElement)) throw new Error(\"pixels is of unknown type: \" + e.constructor.name);if (null == this.canvas) throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.canvas.width = e.width, this.canvas.height = e.height, this.canvas.getContext(\"2d\").drawImage(e, 0, 0, e.width, e.height), n = this.canvas.getContext(\"2d\").getImageData(0, 0, e.width, e.height).data;\n    }if (4 === t) r = new Int32Array(n);else {\n      var a = e.width * e.height;r = new Int32Array(a * t);for (var o = 0; o < a; o++) for (var i = 0; i < t; ++i) r[o * t + i] = n[4 * o + i];\n    }var s = [e.height, e.width, t];return tensor3d(r, s, \"int32\");\n  }, e.prototype.read = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (t) {\n        return [2, this.readSync(e)];\n      });\n    });\n  }, e.prototype.readSync = function (e) {\n    return this.throwIfNoData(e), this.data.get(e);\n  }, e.prototype.disposeData = function (e) {\n    this.data.has(e) && this.data.delete(e);\n  }, e.prototype.time = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t;return __generator(this, function (n) {\n        return t = performance.now(), e(), [2, { kernelMs: performance.now() - t }];\n      });\n    });\n  }, e.prototype.memory = function () {\n    return { unreliable: !0 };\n  }, e.prototype.throwIfNoData = function (e) {\n    if (!this.data.has(e)) throw new Error(\"CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\");\n  }, e.prototype.slice = function (e, t, n) {\n    for (var r = buffer(n, e.dtype), a = 0; a < r.size; ++a) {\n      var o = r.indexToLoc(a),\n          i = o.map(function (e, n) {\n        return e + t[n];\n      });r.set.apply(r, [e.get.apply(e, i)].concat(o));\n    }return r.toTensor();\n  }, e.prototype.stridedSlice = function (e, t, n, r, a, o) {\n    var i = getStridedSlicedInfo(e.shape, t, n, r, a, o),\n        s = i[0],\n        u = i[1];if (u.some(function (e) {\n      return 0 === e;\n    })) return tensor([], u);for (var l = buffer(u, e.dtype), c = 0; c < l.size; c++) {\n      for (var d = l.indexToLoc(c), p = new Array(d.length), h = 0; h < p.length; h++) p[h] = d[h] * r[h] + s[h];l.set.apply(l, [e.get.apply(e, p)].concat(d));\n    }return l.toTensor();\n  }, e.prototype.reverse = function (e, t) {\n    for (var n = buffer(e.shape, e.dtype), r = e.buffer(), a = function (a) {\n      var o = n.indexToLoc(a),\n          i = o.slice();t.forEach(function (t) {\n        return i[t] = e.shape[t] - 1 - i[t];\n      }), n.set.apply(n, [r.get.apply(r, i)].concat(o));\n    }, o = 0; o < n.size; o++) a(o);return n.toTensor();\n  }, e.prototype.concat = function (e, t) {\n    var n = computeOutShape(e.shape, t.shape, 1),\n        r = buffer(n, e.dtype);if (1 === e.shape[0] && 1 === t.shape[0]) {\n      var a = e.dataSync(),\n          o = t.dataSync(),\n          i = r.values;return i.set(a, 0), i.set(o, e.size), r.toTensor();\n    }for (var s = 0; s < n[0]; ++s) {\n      for (var u = 0; u < e.shape[1]; ++u) r.set(e.get(s, u), s, u);for (u = 0; u < t.shape[1]; ++u) r.set(t.get(s, u), s, u + e.shape[1]);\n    }return r.toTensor();\n  }, e.prototype.neg = function (e) {\n    return this.multiply(scalar(-1), e);\n  }, e.prototype.add = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {\n      return e + t;\n    });\n  }, e.prototype.subtract = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {\n      return e - t;\n    });\n  }, e.prototype.pow = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      return Math.pow(e, t);\n    });\n  }, e.prototype.matMul = function (e, t, n, r) {\n    for (var a = n ? e.shape[0] : e.shape[1], o = n ? e.shape[1] : e.shape[0], i = r ? t.shape[0] : t.shape[1], s = e.dataSync(), u = t.dataSync(), l = n ? [1, e.strides[0]] : [e.strides[0], 1], c = l[0], d = l[1], p = r ? [t.strides[0], 1] : [1, t.strides[0]], h = p[0], f = p[1], g = o * c, m = i * h, v = new Float32Array(o * i), y = 0, x = 0; x < g; x += c) for (var b = 0; b < m; b += h) {\n      for (var E = x, S = b, A = 0, T = 0; T < a; ++T) A += s[E] * u[S], E += d, S += f;v[y++] = A;\n    }return tensor2d(v, [o, i]);\n  }, e.prototype.multiply = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {\n      return e * t;\n    });\n  }, e.prototype.realDivide = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"float32\", function (e, t) {\n      return e / t;\n    });\n  }, e.prototype.floorDiv = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"int32\", function (e, t) {\n      return Math.floor(e / t);\n    });\n  }, e.prototype.sum = function (e, t) {\n    assertAxesAreInnerMostDims(\"sum\", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = upcastType(e.dtype, \"int32\"), i = zeros(r, o), s = sizeFromShape(a), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {\n      for (var d = c * s, p = 0, h = 0; h < s; ++h) p += l[d + h];u[c] = p;\n    }return i;\n  }, e.prototype.unsortedSegmentSum = function (e, t, n) {\n    for (var r = [], a = e.rank - t.rank, o = 0; o < a; ++o) t = t.expandDims(o + 1);for (o = 0; o < n; ++o) {\n      var i = scalar(o, \"int32\"),\n          s = equal(i, t).asType(\"float32\").mul(e).sum(0);r.push(s);\n    }return stack(r);\n  }, e.prototype.argMin = function (e, t) {\n    var n = [t];assertAxesAreInnerMostDims(\"argMin\", n, e.rank);for (var r = computeOutAndReduceShapes(e.shape, n), a = r[0], o = r[1], i = zeros(a, \"int32\"), s = sizeFromShape(o), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {\n      for (var d = c * s, p = l[d], h = 0, f = 0; f < s; ++f) {\n        var g = l[d + f];g < p && (p = g, h = f);\n      }u[c] = h;\n    }return i;\n  }, e.prototype.argMax = function (e, t) {\n    var n = [t];assertAxesAreInnerMostDims(\"argMax\", n, e.rank);for (var r = computeOutAndReduceShapes(e.shape, n), a = r[0], o = r[1], i = zeros(a, \"int32\"), s = sizeFromShape(o), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {\n      for (var d = c * s, p = l[d], h = 0, f = 0; f < s; ++f) {\n        var g = l[d + f];g > p && (p = g, h = f);\n      }u[c] = h;\n    }return i;\n  }, e.prototype.cumsum = function (e, t, n, r) {\n    if (t !== e.rank - 1) throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\" + (e.rank - 1) + \" but got axis=\" + t);for (var a = upcastType(e.dtype, \"int32\"), o = zeros(e.shape, a), i = o.dataSync(), s = e.dataSync(), u = e.shape[e.rank - 1], l = r ? function (e, t) {\n      return e + u - t - 1;\n    } : function (e, t) {\n      return e + t;\n    }, c = 0; c < s.length; c += u) for (var d = 0; d < u; d++) {\n      var p = l(c, d);if (0 === d) i[p] = n ? 0 : s[p];else {\n        var h = l(c, d - 1);i[p] = n ? s[h] + i[h] : s[p] + i[h];\n      }\n    }return o;\n  }, e.prototype.equal = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e === t ? 1 : 0;\n    });\n  }, e.prototype.notEqual = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e !== t ? 1 : 0;\n    });\n  }, e.prototype.less = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e < t ? 1 : 0;\n    });\n  }, e.prototype.lessEqual = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e <= t ? 1 : 0;\n    });\n  }, e.prototype.greater = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e > t ? 1 : 0;\n    });\n  }, e.prototype.greaterEqual = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e >= t ? 1 : 0;\n    });\n  }, e.prototype.logicalNot = function (e) {\n    for (var t = e.dataSync(), n = new Int32Array(t.length), r = 0; r < t.length; ++r) n[r] = t[r] ? 0 : 1;return Tensor.make(e.shape, { values: n }, \"bool\");\n  }, e.prototype.logicalAnd = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e && t;\n    });\n  }, e.prototype.logicalOr = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, \"bool\", function (e, t) {\n      return e || t;\n    });\n  }, e.prototype.where = function (e, t, n, r) {\n    for (var a = e.dataSync(), o = t.dataSync(), i = n.dataSync(), s = zeros(t.shape, r), u = s.dataSync(), l = 0, c = 0 === e.rank || e.rank > 1 || 1 === t.rank ? 1 : t.shape[1], d = 0; d < a.length; d++) for (var p = 0; p < c; p++) 1 === a[d] ? u[l++] = o[d] : u[l++] = i[d];return s;\n  }, e.prototype.topKValues = function (e, t) {\n    return this.topK(e, t).values;\n  }, e.prototype.topKIndices = function (e, t) {\n    return this.topK(e, t).indices;\n  }, e.prototype.topK = function (e, t) {\n    for (var n = e.dataSync(), r = [], a = 0; a < n.length; a++) r.push({ value: n[a], index: a });r.sort(function (e, t) {\n      return t.value - e.value;\n    });var o = getTypedArrayFromDType(e.dtype, t),\n        i = new Int32Array(t);for (a = 0; a < t; a++) o[a] = r[a].value, i[a] = r[a].index;return { values: tensor1d(o, e.dtype), indices: tensor1d(i, \"int32\") };\n  }, e.prototype.min = function (e, t) {\n    assertAxesAreInnerMostDims(\"min\", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {\n      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {\n        var h = u[c + p];h < d && (d = h);\n      }s[l] = d;\n    }return o;\n  }, e.prototype.minimum = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      return Math.min(e, t);\n    });\n  }, e.prototype.mod = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      var n = e % t;return e < 0 && t < 0 || e >= 0 && t >= 0 ? n : (n + t) % t;\n    });\n  }, e.prototype.max = function (e, t) {\n    assertAxesAreInnerMostDims(\"max\", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {\n      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {\n        var h = u[c + p];h > d && (d = h);\n      }s[l] = d;\n    }return o;\n  }, e.prototype.maximum = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      return Math.max(e, t);\n    });\n  }, e.prototype.all = function (e, t) {\n    assertAxesAreInnerMostDims(\"all\", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {\n      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {\n        var h = u[c + p];d = d && h;\n      }s[l] = d;\n    }return o;\n  }, e.prototype.squaredDifference = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      var n = e - t;return n * n;\n    });\n  }, e.prototype.ceil = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.ceil(t[r]);return Tensor.make(e.shape, { values: n });\n  }, e.prototype.floor = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.floor(t[r]);return Tensor.make(e.shape, { values: n });\n  }, e.prototype.sign = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) t[r] < 0 ? n[r] = -1 : t[r] > 0 ? n[r] = 1 : n[r] = 0;return Tensor.make(e.shape, { values: n });\n  }, e.prototype.round = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = Math.floor(t[r]);t[r] - a < .5 ? n[r] = Math.floor(t[r]) : t[r] - a > .5 ? n[r] = Math.ceil(t[r]) : n[r] = a % 2 == 0 ? a : a + 1;\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.exp = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.exp(t[r]);return Tensor.make(e.shape, { values: n });\n  }, e.prototype.expm1 = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.expm1(t[r]);return Tensor.make(e.shape, { values: n });\n  }, e.prototype.log = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = t[r];n[r] = Math.log(a);\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.log1p = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = t[r];n[r] = Math.log1p(a);\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.sqrt = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = t[r];n[r] = Math.sqrt(a);\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.rsqrt = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = t[r];n[r] = 1 / Math.sqrt(a);\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.square = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {\n      var a = t[r];n[r] = a * a;\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.reciprocal = function (e) {\n    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = 1 / t[r];return Tensor.make(e.shape, { values: n });\n  }, e.prototype.relu = function (e) {\n    for (var t = zeros(e.shape, e.dtype), n = t.dataSync(), r = e.dataSync(), a = 0; a < r.length; ++a) n[a] = Math.max(0, r[a]);return t;\n  }, e.prototype.elu = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) {\n      var a = n[r];t[r] = a >= 0 ? a : Math.exp(a) - 1;\n    }return Tensor.make(e.shape, { values: t });\n  }, e.prototype.eluDer = function (e, t) {\n    for (var n = new Float32Array(t.size), r = t.dataSync(), a = e.dataSync(), o = 0; o < r.length; ++o) {\n      var i = r[o];n[o] = i >= 1 ? a[o] : a[o] * (i + 1);\n    }return Tensor.make(t.shape, { values: n });\n  }, e.prototype.selu = function (e) {\n    for (var t = SELU_SCALEALPHA, n = SELU_SCALE, r = new Float32Array(e.size), a = e.dataSync(), o = 0; o < a.length; ++o) {\n      var i = a[o];r[o] = i >= 0 ? n * i : t * (Math.exp(i) - 1);\n    }return Tensor.make(e.shape, { values: r });\n  }, e.prototype.clip = function (e, t, n) {\n    for (var r = new Float32Array(e.size), a = e.dataSync(), o = 0; o < a.length; ++o) r[o] = Math.min(n, Math.max(t, a[o]));return Tensor.make(e.shape, { values: r });\n  }, e.prototype.abs = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.abs(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.int = function (e) {\n    for (var t = new Int32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = n[r];return Tensor.make(e.shape, { values: t }, \"int32\");\n  }, e.prototype.sigmoid = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = 1 / (1 + Math.exp(-n[r]));return Tensor.make(e.shape, { values: t });\n  }, e.prototype.softplus = function (e) {\n    for (var t = Math.log(1.1920928955078125e-7) + 2, n = new Float32Array(e.size), r = e.dataSync(), a = 0; a < r.length; ++a) {\n      var o = r[a] > -t,\n          i = r[a] < t,\n          s = Math.exp(r[a]),\n          u = void 0;u = i ? s : o ? r[a] : Math.log(1 + s), n[a] = u;\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.sin = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.sin(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.cos = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.cos(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.tan = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.tan(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.asin = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.asin(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.acos = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.acos(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.atan = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.atan(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.atan2 = function (e, t) {\n    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {\n      return Math.atan2(e, t);\n    });\n  }, e.prototype.sinh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.sinh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.cosh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.cosh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.tanh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = tanh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.asinh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.asinh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.acosh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.acosh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.atanh = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.atanh(n[r]);return Tensor.make(e.shape, { values: t });\n  }, e.prototype.erf = function (e) {\n    for (var t = new Float32Array(e.size), n = e.dataSync(), r = ERF_P, a = ERF_A1, o = ERF_A2, i = ERF_A3, s = ERF_A4, u = ERF_A5, l = 0; l < n.length; ++l) {\n      var c = n[l],\n          d = 1 / (1 + r * c);t[l] = 1 - ((((u * d + s) * d + i) * d + o) * d + a) * d * Math.exp(-c * c);\n    }return Tensor.make(e.shape, { values: t });\n  }, e.prototype.step = function (e, t) {\n    void 0 === t && (t = 0);for (var n = new Float32Array(e.size), r = e.dataSync(), a = 0; a < r.length; ++a) {\n      var o = r[a];isNaN(o) ? n[a] = NaN : n[a] = o > 0 ? 1 : t;\n    }return Tensor.make(e.shape, { values: n });\n  }, e.prototype.conv2d = function (e, t, n) {\n    for (var r = n.filterHeight, a = n.filterWidth, o = n.dilationHeight, i = n.dilationWidth, s = n.padInfo.left, u = n.padInfo.top, l = buffer(n.outShape, e.dtype), c = 0; c < n.batchSize; ++c) for (var d = 0; d < n.outChannels; ++d) for (var p = 0; p < n.outHeight; ++p) for (var h = p * n.strideHeight - s, f = 0; f < n.outWidth; ++f) {\n      for (var g = f * n.strideWidth - u, m = 0, v = 0; v < r; v++) {\n        var y = h + v * o;if (!(y < 0 || y >= n.inHeight)) for (var x = 0; x < a; x++) {\n          var b = g + x * i;if (!(b < 0 || b >= n.inWidth)) for (var E = 0; E < n.inChannels; ++E) {\n            m += e.get(c, y, b, E) * t.get(v, x, E, d);\n          }\n        }\n      }l.set(m, c, p, f, d);\n    }return l.toTensor();\n  }, e.prototype.conv2dDerInput = function (e, t, n) {\n    for (var r = buffer(n.inShape, \"float32\"), a = r.values, o = r.strides, i = o[0], s = o[1], u = o[2], l = e.dataSync(), c = e.strides, d = c[0], p = c[1], h = c[2], f = t.dataSync(), g = t.strides, m = g[0], v = g[1], y = g[2], x = n.batchSize, b = n.filterHeight, E = n.filterWidth, S = n.inChannels, A = n.inHeight, T = n.inWidth, w = n.outChannels, _ = n.outHeight, R = n.outWidth, C = n.strideHeight, O = n.strideWidth, I = b - 1 - n.padInfo.top, k = E - 1 - n.padInfo.left, M = 0; M < x; ++M) for (var N = 0; N < S; ++N) for (var D = 0; D < A; ++D) for (var P = D - I, F = Math.max(0, Math.ceil(P / C)), L = Math.min(_, (b + P) / C), B = 0; B < T; ++B) {\n      for (var U = B - k, V = Math.max(0, Math.ceil(U / O)), z = Math.min(R, (E + U) / O), G = 0, W = F; W < L; ++W) for (var q = W * C - P, H = V; H < z; ++H) for (var X = d * M + p * W + h * H, j = m * (b - 1 - q) + v * (E - 1 - (H * O - U)) + y * N, K = 0; K < w; ++K) {\n        G += l[X + K] * f[j + K];\n      }a[i * M + s * D + u * B + N] = G;\n    }return r.toTensor();\n  }, e.prototype.conv2dDerFilter = function (e, t, n) {\n    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = buffer(n.filterShape, \"float32\"), u = n.padInfo.left, l = n.padInfo.top, c = 0; c < o; ++c) for (var d = Math.max(0, Math.ceil((l - c) / r)), p = Math.min(n.outHeight, (n.inHeight + l - c) / r), h = 0; h < i; ++h) for (var f = Math.max(0, Math.ceil((u - h) / a)), g = Math.min(n.outWidth, (n.inWidth + u - h) / a), m = 0; m < n.inChannels; ++m) for (var v = 0; v < n.outChannels; ++v) {\n      for (var y = 0, x = 0; x < n.batchSize; ++x) for (var b = d; b < p; ++b) for (var E = c + b * r - l, S = f; S < g; ++S) {\n        var A = h + S * a - u;y += e.get(x, E, A, m) * t.get(x, b, S, v);\n      }s.set(y, c, h, m, v);\n    }return s.toTensor();\n  }, e.prototype.depthwiseConv2D = function (e, t, n) {\n    for (var r = n.filterHeight, a = n.filterWidth, o = n.dilationHeight, i = n.dilationWidth, s = n.padInfo.left, u = n.padInfo.top, l = n.outChannels / n.inChannels, c = buffer(n.outShape, e.dtype), d = 0; d < n.batchSize; ++d) for (var p = 0; p < n.inChannels; ++p) for (var h = 0; h < n.outHeight; ++h) for (var f = h * n.strideHeight - s, g = 0; g < n.outWidth; ++g) for (var m = g * n.strideWidth - u, v = 0; v < l; ++v) {\n      for (var y = 0, x = 0; x < r; ++x) {\n        var b = f + x * o;if (!(b < 0 || b >= n.inHeight)) for (var E = 0; E < a; ++E) {\n          var S = m + E * i;if (!(S < 0 || S >= n.inWidth)) y += e.get(d, b, S, p) * t.get(x, E, p, v);\n        }\n      }c.set(y, d, h, g, p * l + v);\n    }return c.toTensor();\n  }, e.prototype.depthwiseConv2DDerInput = function (e, t, n) {\n    for (var r = buffer(n.inShape, \"float32\"), a = r.values, o = r.strides, i = o[0], s = o[1], u = o[2], l = e.dataSync(), c = e.strides, d = c[0], p = c[1], h = c[2], f = t.dataSync(), g = t.strides, m = g[0], v = g[1], y = g[2], x = n.batchSize, b = n.filterHeight, E = n.filterWidth, S = n.inChannels, A = n.inHeight, T = n.inWidth, w = n.outChannels, _ = n.outHeight, R = n.outWidth, C = n.strideHeight, O = n.strideWidth, I = b - 1 - n.padInfo.top, k = E - 1 - n.padInfo.left, M = w / S, N = 0; N < x; ++N) for (var D = 0; D < S; ++D) for (var P = 0; P < A; ++P) for (var F = P - I, L = Math.max(0, Math.ceil(F / C)), B = Math.min(_, (b + F) / C), U = 0; U < T; ++U) {\n      for (var V = U - k, z = Math.max(0, Math.ceil(V / O)), G = Math.min(R, (E + V) / O), W = 0, q = L; q < B; ++q) for (var H = q * C - F, X = z; X < G; ++X) for (var j = d * N + p * q + h * X, K = m * (b - 1 - H) + v * (E - 1 - (X * O - V)) + y * D, Q = 0; Q < M; ++Q) {\n        W += l[j + (D * M + Q)] * f[K + Q];\n      }a[i * N + s * P + u * U + D] = W;\n    }return r.toTensor();\n  }, e.prototype.depthwiseConv2DDerFilter = function (e, t, n) {\n    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = buffer(n.filterShape, \"float32\"), u = n.padInfo.left, l = n.padInfo.top, c = n.outChannels / n.inChannels, d = 0; d < o; ++d) for (var p = Math.max(0, Math.ceil((l - d) / r)), h = Math.min(n.outHeight, (n.inHeight + l - d) / r), f = 0; f < i; ++f) for (var g = Math.max(0, Math.ceil((u - f) / a)), m = Math.min(n.outWidth, (n.inWidth + u - f) / a), v = 0; v < n.outChannels; ++v) {\n      for (var y = Math.trunc(v / c), x = v % c, b = 0, E = 0; E < n.batchSize; ++E) for (var S = p; S < h; ++S) for (var A = d + S * r - l, T = g; T < m; ++T) {\n        var w = f + T * a - u;b += e.get(E, A, w, y) * t.get(E, S, T, v);\n      }s.set(b, d, f, y, x);\n    }return s.toTensor();\n  }, e.prototype.tile = function (e, t) {\n    for (var n = new Array(e.rank), r = 0; r < n.length; r++) n[r] = e.shape[r] * t[r];var a = buffer(n, e.dtype),\n        o = e.buffer();for (r = 0; r < a.values.length; ++r) {\n      for (var i = a.indexToLoc(r), s = new Array(e.rank), u = 0; u < s.length; u++) s[u] = i[u] % e.shape[u];var l = o.locToIndex(s);a.values[r] = o.values[l];\n    }return a.toTensor();\n  }, e.prototype.pad = function (e, t, n) {\n    var r = t.map(function (t, n) {\n      return t[0] + e.shape[n] + t[1];\n    }),\n        a = t.map(function (e) {\n      return e[0];\n    }),\n        o = e.buffer(),\n        i = buffer(r, e.dtype);0 !== n && i.values.fill(n);for (var s = 0; s < e.size; s++) {\n      var u = o.indexToLoc(s),\n          l = u.map(function (e, t) {\n        return e + a[t];\n      });i.set.apply(i, [e.get.apply(e, u)].concat(l));\n    }return i.toTensor();\n  }, e.prototype.transpose = function (e, t) {\n    for (var n = new Array(e.rank), r = 0; r < n.length; r++) n[r] = e.shape[t[r]];var a = e.dataSync(),\n        o = buffer(n, e.dtype),\n        i = e.buffer();for (r = 0; r < e.size; ++r) {\n      for (var s = i.indexToLoc(r), u = new Array(s.length), l = 0; l < u.length; l++) u[l] = s[t[l]];var c = o.locToIndex(u);o.values[c] = a[r];\n    }return o.toTensor();\n  }, e.prototype.gather = function (e, t, n) {\n    var r = e.shape.slice(),\n        a = t.dataSync();r[n] = a.length;for (var o = buffer(r, e.dtype), i = e.buffer(), s = 0; s < o.size; ++s) {\n      var u = o.indexToLoc(s),\n          l = u.slice();l[n] = a[u[n]];var c = i.locToIndex(l);o.values[s] = i.values[c];\n    }return o.toTensor();\n  }, e.prototype.pool = function (e, t, n) {\n    for (var r = t.strideHeight, a = t.strideWidth, o = t.filterHeight, i = t.filterWidth, s = buffer(t.outShape, \"float32\"), u = t.padInfo.top, l = t.padInfo.left, c = 0; c < t.batchSize; ++c) for (var d = 0; d < t.inChannels; ++d) for (var p = 0; p < t.outHeight; ++p) for (var h = p * r - u, f = Math.max(0, h), g = Math.min(t.inHeight, o + h), m = 0; m < t.outWidth; ++m) {\n      for (var v = m * a - l, y = Math.max(0, v), x = Math.min(t.inWidth, i + v), b = \"max\" === n ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, E = 0, S = 0, A = f; A < g; ++A) {\n        for (var T = y; T < x; ++T) {\n          var w = e.get(c, A, T, d);\"max\" === n && w > b ? b = w : \"avg\" === n && (E += w, S++);\n        }if (isNaN(b)) break;\n      }s.set(\"avg\" === n ? E / S : b, c, p, m, d);\n    }return s.toTensor();\n  }, e.prototype.maxPool = function (e, t) {\n    return this.pool(e, t, \"max\");\n  }, e.prototype.maxPoolPositions = function (e, t) {\n    for (var n = buffer(t.outShape, \"int32\"), r = t.strideHeight, a = t.strideWidth, o = t.filterHeight, i = t.filterWidth, s = t.padInfo.top, u = t.padInfo.left, l = 0; l < t.batchSize; ++l) for (var c = 0; c < t.inChannels; ++c) for (var d = 0; d < t.outHeight; ++d) for (var p = d * r - s, h = Math.max(0, p), f = Math.min(t.inHeight, o + p), g = 0; g < t.outWidth; ++g) {\n      for (var m = g * a - u, v = Math.max(0, m), y = Math.min(t.inWidth, i + m), x = Number.NEGATIVE_INFINITY, b = -1, E = h; E < f; ++E) for (var S = E - p, A = v; A < y; ++A) {\n        var T = A - m,\n            w = e.get(l, E, A, c);w > x && (x = w, b = S * i + T);\n      }n.set(b, l, d, g, c);\n    }return n.toTensor();\n  }, e.prototype.maxPoolBackprop = function (e, t, n, r) {\n    for (var a = this.maxPoolPositions(t, r), o = r.strideHeight, i = r.strideWidth, s = r.filterHeight, u = r.filterWidth, l = u - 1 - r.padInfo.left, c = s - 1 - r.padInfo.top, d = buffer(t.shape, \"float32\"), p = 0; p < r.batchSize; ++p) for (var h = 0; h < r.inChannels; ++h) for (var f = 0; f < r.inHeight; ++f) for (var g = 0; g < r.inWidth; ++g) {\n      for (var m = f - c, v = g - l, y = 0, x = 0; x < s; ++x) {\n        var b = (m + x) / o;if (!(b < 0 || b >= r.outHeight || Math.floor(b) !== b)) for (var E = 0; E < u; ++E) {\n          var S = (v + E) / i;if (!(S < 0 || S >= r.outWidth || Math.floor(S) !== S)) {\n            var A = s * u - 1 - a.get(p, b, S, h) === x * u + E ? 1 : 0;if (0 !== A) y += e.get(p, b, S, h) * A;\n          }\n        }\n      }d.set(y, p, f, g, h);\n    }return d.toTensor();\n  }, e.prototype.avgPoolBackprop = function (e, t, n) {\n    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = i - 1 - n.padInfo.left, u = o - 1 - n.padInfo.top, l = buffer(t.shape, \"float32\"), c = 1 / (o * i), d = 0; d < n.batchSize; ++d) for (var p = 0; p < n.inChannels; ++p) for (var h = 0; h < n.inHeight; ++h) for (var f = 0; f < n.inWidth; ++f) {\n      for (var g = h - u, m = f - s, v = 0, y = 0; y < o; ++y) {\n        var x = (g + y) / r;if (!(x < 0 || x >= n.outHeight || Math.floor(x) !== x)) for (var b = 0; b < i; ++b) {\n          var E = (m + b) / a;if (!(E < 0 || E >= n.outWidth || Math.floor(E) !== E)) v += e.get(d, x, E, p);\n        }\n      }l.set(v * c, d, h, f, p);\n    }return l.toTensor();\n  }, e.prototype.cast = function (e, t) {\n    return castTensor(e, t, this);\n  }, e.prototype.reshape = function (e, t) {\n    return reshapeTensor(e, t);\n  }, e.prototype.avgPool = function (e, t) {\n    return this.pool(e, t, \"avg\").toFloat();\n  }, e.prototype.resizeBilinear = function (e, t, n, r) {\n    for (var a = e.shape, o = a[0], i = a[1], s = a[2], u = a[3], l = buffer([o, t, n, u], e.dtype), c = [r && t > 1 ? i - 1 : i, r && n > 1 ? s - 1 : s], d = [r && t > 1 ? t - 1 : t, r && n > 1 ? n - 1 : n], p = 0; p < o; p++) for (var h = 0; h < t; h++) for (var f = 0; f < n; f++) for (var g = 0; g < u; g++) {\n      var m = c[0] * h / d[0],\n          v = c[1] * f / d[1],\n          y = Math.floor(m),\n          x = Math.min(i - 1, Math.ceil(m)),\n          b = Math.floor(v),\n          E = Math.min(s - 1, Math.ceil(v)),\n          S = e.get(p, y, b, g),\n          A = e.get(p, x, b, g),\n          T = v - b,\n          w = S + (e.get(p, y, E, g) - S) * T,\n          _ = w + (A + (e.get(p, x, E, g) - A) * T - w) * (m - y);l.set(_, p, h, f, g);\n    }return l.toTensor();\n  }, e.prototype.resizeBilinearBackprop = function (e, t, n) {\n    for (var r = t.shape, a = r[0], o = r[1], i = r[2], s = r[3], u = e.shape, l = u[1], c = u[2], d = buffer([a, o, i, s], t.dtype), p = [n && l > 1 ? o - 1 : o, n && c > 1 ? i - 1 : i], h = [n && l > 1 ? l - 1 : l, n && c > 1 ? c - 1 : c], f = p[0] / h[0], g = p[1] / h[1], m = 0; m < a; m++) for (var v = 0; v < l; v++) for (var y = v * f, x = Math.floor(y), b = Math.min(Math.ceil(y), o - 1), E = y - x, S = 1 - E, A = 0; A < c; A++) for (var T = A * g, w = Math.floor(T), _ = Math.min(Math.ceil(T), i - 1), R = T - w, C = 1 - R, O = 0; O < s; O++) {\n      var I = e.get(m, v, A, O),\n          k = d.get(m, x, w, O);k += I * S * C, d.set(k, m, x, w, O);var M = d.get(m, x, _, O);M += I * S * R, d.set(M, m, x, _, O);var N = d.get(m, b, w, O);N += I * E * C, d.set(N, m, b, w, O);var D = d.get(m, b, _, O);D += I * E * R, d.set(D, m, b, _, O);\n    }return d.toTensor();\n  }, e.prototype.resizeNearestNeighbor = function (e, t, n, r) {\n    for (var a = e.shape, o = a[0], i = a[1], s = a[2], u = a[3], l = buffer([o, t, n, u], e.dtype), c = r ? [i - 1, s - 1] : [i, s], d = r ? [t - 1, n - 1] : [t, n], p = 0; p < o; p++) for (var h = 0; h < t; h++) for (var f = 0; f < n; f++) for (var g = 0; g < u; g++) {\n      var m = c[0] * h / d[0],\n          v = c[1] * f / d[1],\n          y = Math.min(i - 1, r ? Math.round(m) : Math.floor(m)),\n          x = Math.min(s - 1, r ? Math.round(v) : Math.floor(v)),\n          b = e.get(p, y, x, g);l.set(b, p, h, f, g);\n    }return l.toTensor();\n  }, e.prototype.batchNormalization = function (e, t, n, r, a, o) {\n    for (var i = e.dataSync(), s = t.dataSync(), u = n.dataSync(), l = a ? a.dataSync() : new Float32Array([1]), c = o ? o.dataSync() : new Float32Array([0]), d = new Float32Array(i.length), p = 0; p < i.length; p++) d[p] = c[p % c.length] + (i[p] - s[p % s.length]) * l[p % l.length] / Math.sqrt(u[p % u.length] + r);return tensor4d(d, e.shape);\n  }, e.prototype.localResponseNormalization4D = function (e, t, n, r, a) {\n    var o = buffer(e.shape, \"float32\"),\n        i = t,\n        s = o.shape[3] - 1;function u(t, n, r, a) {\n      for (var o = 0, u = Math.max(0, a - i); u <= Math.min(a + i, s); u++) {\n        var l = e.get(t, n, r, u);o += l * l;\n      }return o;\n    }for (var l = 0; l < o.shape[0]; l++) for (var c = 0; c <= o.shape[1]; c++) for (var d = 0; d < o.shape[2]; d++) for (var p = 0; p < o.shape[3]; p++) {\n      var h = u(l, c, d, p),\n          f = e.get(l, c, d, p) * Math.pow(n + r * h, -a);o.set(f, l, c, d, p);\n    }return o.toTensor();\n  }, e.prototype.multinomial = function (e, t, n, r) {\n    for (var a = t ? e : softmax(e), o = a.shape[0], i = a.shape[1], s = zeros([o, n], \"int32\"), u = s.dataSync(), l = a.dataSync(), c = 0; c < o; ++c) {\n      var d = c * i,\n          p = new Float32Array(i - 1);p[0] = l[d];for (var h = 1; h < p.length; ++h) p[h] = p[h - 1] + l[d + h];for (var f = seedrandom_1(r.toString()), g = c * n, m = 0; m < n; ++m) {\n        var v = f();u[g + m] = p.length;for (var y = 0; y < p.length; y++) if (v < p[y]) {\n          u[g + m] = y;break;\n        }\n      }\n    }return s;\n  }, e.prototype.oneHot = function (e, t, n, r) {\n    var a = new Float32Array(e.size * t);a.fill(r);for (var o = 0; o < e.size; ++o) e.get(o) >= 0 && e.get(o) < t && (a[o * t + e.get(o)] = n);return tensor2d(a, [e.size, t], \"int32\");\n  }, e.prototype.broadcastedBinaryOp = function (e, t, n, r) {\n    for (var a = assertAndGetBroadcastShape(e.shape, t.shape), o = buffer(a, n), i = e.dataSync(), s = t.dataSync(), u = getBroadcastDims(e.shape, a), l = getBroadcastDims(t.shape, a), c = e.buffer(), d = t.buffer(), p = function (n) {\n      var a = o.indexToLoc(n),\n          p = a.slice(-e.rank);u.forEach(function (e) {\n        return p[e] = 0;\n      });var h = c.locToIndex(p),\n          f = a.slice(-t.rank);l.forEach(function (e) {\n        return f[e] = 0;\n      });var g = d.locToIndex(f);o.values[n] = r(i[h], s[g]);\n    }, h = 0; h < o.values.length; ++h) p(h);return o.toTensor();\n  }, e.prototype.dispose = function () {}, e;\n}();ENV.registerBackend(\"cpu\", function () {\n  return new MathBackendCPU();\n}, 1);var BrowserUtil = function () {\n  function e() {}return e.nextFrame = function () {\n    return new Promise(function (e) {\n      return requestAnimationFrame(function () {\n        return e();\n      });\n    });\n  }, __decorate([doc({ heading: \"Performance\", subheading: \"Timing\" })], e, \"nextFrame\", null), e;\n}(),\n    DTYPE_VALUE_SIZE_MAP = { float32: 4, int32: 4, uint16: 2, uint8: 1, bool: 1 };function encodeWeights(e) {\n  return __awaiter(this, void 0, void 0, function () {\n    var t, n, r, a;return __generator(this, function (o) {\n      switch (o.label) {case 0:\n          for (r in t = [], n = [], e) {\n            if (\"float32\" !== (a = e[r]).dtype && \"int32\" !== a.dtype && \"bool\" !== a.dtype) throw new Error(\"Unsupported dtype in weight '\" + r + \"': \" + a.dtype);t.push({ name: r, shape: a.shape, dtype: a.dtype }), n.push(a.data());\n          }return [4, Promise.all(n)];case 1:\n          return [2, { data: concatenateTypedArrays(o.sent()), specs: t }];}\n    });\n  });\n}function decodeWeights(e, t) {\n  for (var n = {}, r = 0, a = 0, o = t; a < o.length; a++) {\n    var i = o[a],\n        s = i.name,\n        u = i.dtype,\n        l = i.shape;if (null != i.quantization) throw new Error(\"decodeWeights does not support quantization yet, but encountered weight '\" + s + \" with quantization.'\");var c = sizeFromShape(l),\n        d = void 0;if (\"float32\" === u) d = ArrayOps.tensor(new Float32Array(e, r, c), l, \"float32\");else if (\"int32\" === u) d = ArrayOps.tensor(new Int32Array(e, r, c), l, \"int32\");else {\n      if (\"bool\" !== u) throw new Error(\"Unsupported dtype in weight '\" + s + \"': \" + u);d = ArrayOps.tensor(new Uint8Array(e, r, c), l, \"bool\");\n    }n[s] = d, r += c * DTYPE_VALUE_SIZE_MAP[u];\n  }return n;\n}function concatenateTypedArrays(e) {\n  if (null === e) throw new Error(\"Invalid input value: \" + JSON.stringify(e));var t = 0;e.forEach(function (e) {\n    if (e instanceof Float32Array || e instanceof Int32Array) t += e.buffer.byteLength;else {\n      if (!(e instanceof Uint8Array)) throw new Error(\"Unsupported TypedArray subtype: \" + e.constructor.name);t += e.buffer.byteLength;\n    }\n  });var n = new Uint8Array(t),\n      r = 0;return e.forEach(function (e) {\n    n.set(new Uint8Array(e.buffer), r), r += e.buffer.byteLength;\n  }), n.buffer;\n}function stringByteLength(e) {\n  return new Blob([e]).size;\n}function arrayBufferToBase64String(e) {\n  return btoa(String.fromCharCode.apply(null, new Uint8Array(e)));\n}function base64StringToArrayBuffer(e) {\n  for (var t = atob(e), n = new Uint8Array(t.length), r = 0; r < t.length; ++r) n.set([t.charCodeAt(r)], r);return n.buffer;\n}function concatenateArrayBuffers(e) {\n  var t = 0;e.forEach(function (e) {\n    t += e.byteLength;\n  });var n = new Uint8Array(t),\n      r = 0;return e.forEach(function (e) {\n    n.set(new Uint8Array(e), r), r += e.byteLength;\n  }), n.buffer;\n}function basename(e) {\n  for (e = e.trim(); e.endsWith(\"/\");) e = e.slice(0, e.length - 1);var t = e.split(\"/\");return t[t.length - 1];\n}function getModelArtifactsInfoForJSON(e) {\n  if (e.modelTopology instanceof ArrayBuffer) throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return { dateSaved: new Date(), modelTopologyType: \"JSON\", modelTopologyBytes: null == e.modelTopology ? 0 : stringByteLength(JSON.stringify(e.modelTopology)), weightSpecsBytes: null == e.weightSpecs ? 0 : stringByteLength(JSON.stringify(e.weightSpecs)), weightDataBytes: null == e.weightData ? 0 : e.weightData.byteLength };\n}var IORouterRegistry = function () {\n  function e() {\n    this.saveRouters = [], this.loadRouters = [];\n  }return e.getInstance = function () {\n    return null == e.instance && (e.instance = new e()), e.instance;\n  }, e.registerSaveRouter = function (t) {\n    e.getInstance().saveRouters.push(t);\n  }, e.registerLoadRouter = function (t) {\n    e.getInstance().loadRouters.push(t);\n  }, e.getSaveHandlers = function (t) {\n    return e.getHandlers(t, \"save\");\n  }, e.getLoadHandlers = function (t) {\n    return e.getHandlers(t, \"load\");\n  }, e.getHandlers = function (e, t) {\n    var n = [];return (\"load\" === t ? this.getInstance().loadRouters : this.getInstance().saveRouters).forEach(function (t) {\n      var r = t(e);null !== r && n.push(r);\n    }), n;\n  }, e;\n}(),\n    URL_SCHEME_SUFFIX = \"://\",\n    ModelStoreManagerRegistry = function () {\n  function e() {\n    this.managers = {};\n  }return e.getInstance = function () {\n    return null == e.instance && (e.instance = new e()), e.instance;\n  }, e.registerManager = function (t, n) {\n    assert(null != t, \"scheme must not be undefined or null.\"), t.endsWith(URL_SCHEME_SUFFIX) && (t = t.slice(0, t.indexOf(URL_SCHEME_SUFFIX))), assert(t.length > 0, \"scheme must not be an empty string.\");var r = e.getInstance();assert(null == r.managers[t], \"A model store manager is already registered for scheme '\" + t + \"'.\"), r.managers[t] = n;\n  }, e.getManager = function (e) {\n    var t = this.getInstance().managers[e];if (null == t) throw new Error(\"Cannot find model manager for scheme '\" + e + \"'\");return t;\n  }, e.getSchemes = function () {\n    return Object.keys(this.getInstance().managers);\n  }, e;\n}();function parseURL(e) {\n  if (-1 === e.indexOf(URL_SCHEME_SUFFIX)) throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \" + ModelStoreManagerRegistry.getSchemes().join(\",\"));return { scheme: e.split(URL_SCHEME_SUFFIX)[0], path: e.split(URL_SCHEME_SUFFIX)[1] };\n}function cloneModelInternal(e, t, n) {\n  return void 0 === n && (n = !1), __awaiter(this, void 0, void 0, function () {\n    var r, a, o, i, s, u, l, c, d;return __generator(this, function (p) {\n      switch (p.label) {case 0:\n          return assert(e !== t, \"Old path and new path are the same: '\" + e + \"'\"), assert((r = IORouterRegistry.getLoadHandlers(e)).length > 0, \"Copying failed because no load handler is found for source URL \" + e + \".\"), assert(r.length < 2, \"Copying failed because more than one (\" + r.length + \") load handlers for source URL \" + e + \".\"), a = r[0], assert((o = IORouterRegistry.getSaveHandlers(t)).length > 0, \"Copying failed because no save handler is found for destination URL \" + t + \".\"), assert(o.length < 2, \"Copying failed because more than one (\" + r.length + \") save handlers for destination URL \" + t + \".\"), i = o[0], s = parseURL(e).scheme, u = parseURL(e).path, l = s === parseURL(e).scheme, [4, a.load()];case 1:\n          return c = p.sent(), n && l ? [4, ModelStoreManagerRegistry.getManager(s).removeModel(u)] : [3, 3];case 2:\n          p.sent(), p.label = 3;case 3:\n          return [4, i.save(c)];case 4:\n          return d = p.sent(), !n || l ? [3, 6] : [4, ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:\n          p.sent(), p.label = 6;case 6:\n          return [2, d.modelArtifactsInfo];}\n    });\n  });\n}var ModelManagement = function () {\n  function e() {}return e.listModels = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e, t, n, r, a, o, i;return __generator(this, function (s) {\n        switch (s.label) {case 0:\n            e = ModelStoreManagerRegistry.getSchemes(), t = {}, n = 0, r = e, s.label = 1;case 1:\n            return n < r.length ? (a = r[n], [4, ModelStoreManagerRegistry.getManager(a).listModels()]) : [3, 4];case 2:\n            for (i in o = s.sent()) t[a + URL_SCHEME_SUFFIX + i] = o[i];s.label = 3;case 3:\n            return n++, [3, 1];case 4:\n            return [2, t];}\n      });\n    });\n  }, e.removeModel = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t;return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return t = parseURL(e), [4, ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:\n            return [2, n.sent()];}\n      });\n    });\n  }, e.copyModel = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return [4, cloneModelInternal(e, t, !1)];case 1:\n            return [2, n.sent()];}\n      });\n    });\n  }, e.moveModel = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return [4, cloneModelInternal(e, t, !0)];case 1:\n            return [2, n.sent()];}\n      });\n    });\n  }, __decorate([doc({ heading: \"Models\", subheading: \"Management\", namespace: \"io\" })], e, \"listModels\", null), __decorate([doc({ heading: \"Models\", subheading: \"Management\", namespace: \"io\" })], e, \"removeModel\", null), __decorate([doc({ heading: \"Models\", subheading: \"Management\", namespace: \"io\" })], e, \"copyModel\", null), __decorate([doc({ heading: \"Models\", subheading: \"Management\", namespace: \"io\" })], e, \"moveModel\", null), e;\n}(),\n    DATABASE_NAME = \"tensorflowjs\",\n    DATABASE_VERSION = 1,\n    MODEL_STORE_NAME = \"models_store\",\n    INFO_STORE_NAME = \"model_info_store\";function getIndexedDBFactory() {\n  if (!ENV.get(\"IS_BROWSER\")) throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e = window,\n      t = e.indexedDB || e.mozIndexedDB || e.webkitIndexedDB || e.msIndexedDB || e.shimIndexedDB;if (null == t) throw new Error(\"The current browser does not appear to support IndexedDB.\");return t;\n}function setUpDatabase(e) {\n  var t = e.result;t.createObjectStore(MODEL_STORE_NAME, { keyPath: \"modelPath\" }), t.createObjectStore(INFO_STORE_NAME, { keyPath: \"modelPath\" });\n}var BrowserIndexedDB = function () {\n  function e(e) {\n    if (this.indexedDB = getIndexedDBFactory(), null == e || !e) throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath = e;\n  }return e.prototype.save = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (t) {\n        if (e.modelTopology instanceof ArrayBuffer) throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return [2, this.databaseAction(this.modelPath, e)];\n      });\n    });\n  }, e.prototype.load = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2, this.databaseAction(this.modelPath)];\n      });\n    });\n  }, e.prototype.databaseAction = function (e, t) {\n    var n = this;return new Promise(function (e, r) {\n      var a = n.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);a.onupgradeneeded = function () {\n        return setUpDatabase(a);\n      }, a.onsuccess = function () {\n        var o = a.result;if (null == t) {\n          var i = o.transaction(MODEL_STORE_NAME, \"readonly\"),\n              s = i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess = function () {\n            if (null == s.result) return o.close(), r(new Error(\"Cannot find model with path '\" + n.modelPath + \"' in IndexedDB.\"));e(s.result.modelArtifacts);\n          }, s.onerror = function (e) {\n            return o.close(), r(s.error);\n          }, i.oncomplete = function () {\n            return o.close();\n          };\n        } else {\n          var u,\n              l = getModelArtifactsInfoForJSON(t),\n              c = o.transaction(INFO_STORE_NAME, \"readwrite\"),\n              d = c.objectStore(INFO_STORE_NAME),\n              p = d.put({ modelPath: n.modelPath, modelArtifactsInfo: l });p.onsuccess = function () {\n            var a = (u = o.transaction(MODEL_STORE_NAME, \"readwrite\")).objectStore(MODEL_STORE_NAME).put({ modelPath: n.modelPath, modelArtifacts: t, modelArtifactsInfo: l });a.onsuccess = function () {\n              return e({ modelArtifactsInfo: l });\n            }, a.onerror = function (e) {\n              var t = (d = c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess = function () {\n                return o.close(), r(a.error);\n              }, t.onerror = function (e) {\n                return o.close(), r(a.error);\n              };\n            };\n          }, p.onerror = function (e) {\n            return o.close(), r(p.error);\n          }, c.oncomplete = function () {\n            null == u ? o.close() : u.oncomplete = function () {\n              return o.close();\n            };\n          };\n        }\n      }, a.onerror = function (e) {\n        return r(a.error);\n      };\n    });\n  }, e.URL_SCHEME = \"indexeddb://\", e;\n}(),\n    indexedDBRouter = function (e) {\n  return ENV.get(\"IS_BROWSER\") && e.startsWith(BrowserIndexedDB.URL_SCHEME) ? browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)) : null;\n};function browserIndexedDB(e) {\n  return new BrowserIndexedDB(e);\n}function maybeStripScheme(e) {\n  return e.startsWith(BrowserIndexedDB.URL_SCHEME) ? e.slice(BrowserIndexedDB.URL_SCHEME.length) : e;\n}IORouterRegistry.registerSaveRouter(indexedDBRouter), IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager = function () {\n  function e() {\n    this.indexedDB = getIndexedDBFactory();\n  }return e.prototype.listModels = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e = this;return __generator(this, function (t) {\n        return [2, new Promise(function (t, n) {\n          var r = e.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);r.onupgradeneeded = function () {\n            return setUpDatabase(r);\n          }, r.onsuccess = function () {\n            var e = r.result,\n                a = e.transaction(INFO_STORE_NAME, \"readonly\"),\n                o = a.objectStore(INFO_STORE_NAME).getAll();o.onsuccess = function () {\n              for (var e = {}, n = 0, r = o.result; n < r.length; n++) {\n                var a = r[n];e[a.modelPath] = a.modelArtifactsInfo;\n              }t(e);\n            }, o.onerror = function (t) {\n              return e.close(), n(o.error);\n            }, a.oncomplete = function () {\n              return e.close();\n            };\n          }, r.onerror = function (e) {\n            return n(r.error);\n          };\n        })];\n      });\n    });\n  }, e.prototype.removeModel = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t = this;return __generator(this, function (n) {\n        return e = maybeStripScheme(e), [2, new Promise(function (n, r) {\n          var a = t.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);a.onupgradeneeded = function () {\n            return setUpDatabase(a);\n          }, a.onsuccess = function () {\n            var t,\n                o = a.result,\n                i = o.transaction(INFO_STORE_NAME, \"readwrite\"),\n                s = i.objectStore(INFO_STORE_NAME),\n                u = s.get(e);u.onsuccess = function () {\n              if (null == u.result) return o.close(), r(new Error(\"Cannot find model with path '\" + e + \"' in IndexedDB.\"));var a = s.delete(e),\n                  i = function () {\n                var a = (t = o.transaction(MODEL_STORE_NAME, \"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);a.onsuccess = function () {\n                  return n(u.result.modelArtifactsInfo);\n                }, a.onerror = function (e) {\n                  return r(u.error);\n                };\n              };a.onsuccess = i, a.onerror = function (e) {\n                return i(), o.close(), r(u.error);\n              };\n            }, u.onerror = function (e) {\n              return o.close(), r(u.error);\n            }, i.oncomplete = function () {\n              null == t ? o.close() : t.oncomplete = function () {\n                return o.close();\n              };\n            };\n          }, a.onerror = function (e) {\n            return r(a.error);\n          };\n        })];\n      });\n    });\n  }, e;\n}();if (ENV.get(\"IS_BROWSER\")) try {\n  ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n} catch (e) {}var PATH_SEPARATOR = \"/\",\n    PATH_PREFIX = \"tensorflowjs_models\",\n    INFO_SUFFIX = \"info\",\n    MODEL_TOPOLOGY_SUFFIX = \"model_topology\",\n    WEIGHT_SPECS_SUFFIX = \"weight_specs\",\n    WEIGHT_DATA_SUFFIX = \"weight_data\";function getModelKeys(e) {\n  return { info: [PATH_PREFIX, e, INFO_SUFFIX].join(PATH_SEPARATOR), topology: [PATH_PREFIX, e, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR), weightSpecs: [PATH_PREFIX, e, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR), weightData: [PATH_PREFIX, e, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR) };\n}function getModelPathFromKey(e) {\n  var t = e.split(PATH_SEPARATOR);if (t.length < 3) throw new Error(\"Invalid key format: \" + e);return t.slice(1, t.length - 1).join(PATH_SEPARATOR);\n}function maybeStripScheme$1(e) {\n  return e.startsWith(BrowserLocalStorage.URL_SCHEME) ? e.slice(BrowserLocalStorage.URL_SCHEME.length) : e;\n}var BrowserLocalStorage = function () {\n  function e(e) {\n    if (!ENV.get(\"IS_BROWSER\") || void 0 === window.localStorage) throw new Error(\"The current environment does not support local storage.\");if (this.LS = window.localStorage, null == e || !e) throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath = e, this.keys = getModelKeys(this.modelPath);\n  }return e.prototype.save = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n, r, a;return __generator(this, function (o) {\n        if (e.modelTopology instanceof ArrayBuffer) throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t = JSON.stringify(e.modelTopology), n = JSON.stringify(e.weightSpecs), r = getModelArtifactsInfoForJSON(e);try {\n          return this.LS.setItem(this.keys.info, JSON.stringify(r)), this.LS.setItem(this.keys.topology, t), this.LS.setItem(this.keys.weightSpecs, n), this.LS.setItem(this.keys.weightData, arrayBufferToBase64String(e.weightData)), [2, { modelArtifactsInfo: r }];\n        } catch (e) {\n          for (a in this.keys) this.LS.removeItem(this.keys[a]);throw new Error(\"Failed to save model '\" + this.modelPath + \"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\" + r.modelTopologyBytes + \", weightSpecsBytes=\" + r.weightSpecsBytes + \", weightDataBytes=\" + r.weightDataBytes + \".\");\n        }return [2];\n      });\n    });\n  }, e.prototype.load = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e, t, n, r, a;return __generator(this, function (o) {\n        if (null == (e = JSON.parse(this.LS.getItem(this.keys.info)))) throw new Error(\"In local storage, there is no model with name '\" + this.modelPath + \"'\");if (\"JSON\" !== e.modelTopologyType) throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if (t = {}, null == (n = JSON.parse(this.LS.getItem(this.keys.topology)))) throw new Error(\"In local storage, the topology of model '\" + this.modelPath + \"' is missing.\");if (t.modelTopology = n, null == (r = JSON.parse(this.LS.getItem(this.keys.weightSpecs)))) throw new Error(\"In local storage, the weight specs of model '\" + this.modelPath + \"' are missing.\");if (t.weightSpecs = r, null == (a = this.LS.getItem(this.keys.weightData))) throw new Error(\"In local storage, the binary weight values of model '\" + this.modelPath + \"' are missing.\");return t.weightData = base64StringToArrayBuffer(a), [2, t];\n      });\n    });\n  }, e.URL_SCHEME = \"localstorage://\", e;\n}(),\n    localStorageRouter = function (e) {\n  return ENV.get(\"IS_BROWSER\") && e.startsWith(BrowserLocalStorage.URL_SCHEME) ? browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)) : null;\n};function browserLocalStorage(e) {\n  return new BrowserLocalStorage(e);\n}IORouterRegistry.registerSaveRouter(localStorageRouter), IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager = function () {\n  function e() {\n    assert(ENV.get(\"IS_BROWSER\"), \"Current environment is not a web browser\"), assert(void 0 !== window.localStorage, \"Current browser does not appear to support localStorage\"), this.LS = window.localStorage;\n  }return e.prototype.listModels = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e, t, n, r, a, o;return __generator(this, function (i) {\n        for (e = {}, t = PATH_PREFIX + PATH_SEPARATOR, n = PATH_SEPARATOR + INFO_SUFFIX, r = 0; r < this.LS.length; ++r) (a = this.LS.key(r)).startsWith(t) && a.endsWith(n) && (o = getModelPathFromKey(a), e[o] = JSON.parse(this.LS.getItem(a)));return [2, e];\n      });\n    });\n  }, e.prototype.removeModel = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n;return __generator(this, function (r) {\n        if (e = maybeStripScheme$1(e), t = getModelKeys(e), null == this.LS.getItem(t.info)) throw new Error(\"Cannot find model at path '\" + e + \"'\");return n = JSON.parse(this.LS.getItem(t.info)), this.LS.removeItem(t.info), this.LS.removeItem(t.topology), this.LS.removeItem(t.weightSpecs), this.LS.removeItem(t.weightData), [2, n];\n      });\n    });\n  }, e;\n}();if (ENV.get(\"IS_BROWSER\")) try {\n  ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n} catch (e) {}var DEFAULT_FILE_NAME_PREFIX = \"model\",\n    DEFAULT_JSON_EXTENSION_NAME = \".json\",\n    DEFAULT_WEIGHT_DATA_EXTENSION_NAME = \".weights.bin\",\n    BrowserDownloads = function () {\n  function e(t) {\n    if (!ENV.get(\"IS_BROWSER\")) throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME) && (t = t.slice(e.URL_SCHEME.length)), null != t && 0 !== t.length || (t = DEFAULT_FILE_NAME_PREFIX), this.modelTopologyFileName = t + DEFAULT_JSON_EXTENSION_NAME, this.weightDataFileName = t + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }return e.prototype.save = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n, r, a, o, i;return __generator(this, function (s) {\n        if (t = window.URL.createObjectURL(new Blob([e.weightData], { type: \"application/octet-stream\" })), e.modelTopology instanceof ArrayBuffer) throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return n = [{ paths: [\"./\" + this.weightDataFileName], weights: e.weightSpecs }], r = { modelTopology: e.modelTopology, weightsManifest: n }, a = window.URL.createObjectURL(new Blob([JSON.stringify(r)], { type: \"application/json\" })), (o = null == this.jsonAnchor ? document.createElement(\"a\") : this.jsonAnchor).download = this.modelTopologyFileName, o.href = a, o.click(), null != e.weightData && ((i = null == this.weightDataAnchor ? document.createElement(\"a\") : this.weightDataAnchor).download = this.weightDataFileName, i.href = t, i.click()), [2, { modelArtifactsInfo: getModelArtifactsInfoForJSON(e) }];\n      });\n    });\n  }, e.URL_SCHEME = \"downloads://\", e;\n}(),\n    BrowserFiles = function () {\n  function e(e) {\n    if (null == e || e.length < 1) throw new Error(\"When calling browserFiles, at least 1 file is required, but received \" + e);this.files = e;\n  }return e.prototype.load = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e,\n          t,\n          n = this;return __generator(this, function (r) {\n        return e = this.files[0], t = this.files.slice(1), [2, new Promise(function (r, a) {\n          var o = new FileReader();o.onload = function (o) {\n            var i = JSON.parse(o.target.result),\n                s = i.modelTopology;if (null != s) {\n              0 === t.length && r({ modelTopology: s });var u = i.weightsManifest;if (null != u) {\n                var l;try {\n                  l = n.checkManifestAndWeightFiles(u, t);\n                } catch (e) {\n                  return void a(e);\n                }var c = [],\n                    d = [],\n                    p = [];u.forEach(function (e) {\n                  e.paths.forEach(function (e) {\n                    d.push(e), p.push(null);\n                  }), c.push.apply(c, e.weights);\n                }), u.forEach(function (e) {\n                  e.paths.forEach(function (e) {\n                    var t = new FileReader();t.onload = function (t) {\n                      var n = t.target.result,\n                          a = d.indexOf(e);p[a] = n, -1 === p.indexOf(null) && r({ modelTopology: s, weightSpecs: c, weightData: concatenateArrayBuffers(p) });\n                    }, t.onerror = function (t) {\n                      a(\"Failed to weights data from file of path '\" + e + \"'.\");\n                    }, t.readAsArrayBuffer(l[e]);\n                  });\n                });\n              } else a(new Error(\"weightManifest field is missing from file \" + e.name));\n            } else a(new Error(\"modelTopology field is missing from file \" + e.name));\n          }, o.onerror = function (t) {\n            a(\"Failed to read model topology and weights manifest JSON from file '\" + e.name + \"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\");\n          }, o.readAsText(e);\n        })];\n      });\n    });\n  }, e.prototype.checkManifestAndWeightFiles = function (e, t) {\n    for (var n = [], r = t.map(function (e) {\n      return basename(e.name);\n    }), a = {}, o = 0, i = e; o < i.length; o++) {\n      i[o].paths.forEach(function (e) {\n        var o = basename(e);if (-1 !== n.indexOf(o)) throw new Error(\"Duplicate file basename found in weights manifest: '\" + o + \"'\");if (n.push(o), -1 === r.indexOf(o)) throw new Error(\"Weight file with basename '\" + o + \"' is not provided.\");a[e] = t[r.indexOf(o)];\n      });\n    }if (n.length !== t.length) throw new Error(\"Mismatch in the number of files in weights manifest (\" + n.length + \") and the number of weight files provided (\" + t.length + \").\");return a;\n  }, e;\n}(),\n    browserDownloadsRouter = function (e) {\n  return ENV.get(\"IS_BROWSER\") && e.startsWith(BrowserDownloads.URL_SCHEME) ? browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)) : null;\n};function browserDownloads(e) {\n  return void 0 === e && (e = \"model\"), new BrowserDownloads(e);\n}function browserFiles(e) {\n  return new BrowserFiles(e);\n}function loadWeightsAsArrayBuffer(e, t) {\n  return __awaiter(this, void 0, void 0, function () {\n    var n, r;return __generator(this, function (a) {\n      switch (a.label) {case 0:\n          return n = e.map(function (e) {\n            return fetch(e, t);\n          }), [4, Promise.all(n)];case 1:\n          return r = a.sent(), [4, Promise.all(r.map(function (e) {\n            return e.arrayBuffer();\n          }))];case 2:\n          return [2, a.sent()];}\n    });\n  });\n}function loadWeights(e, t, n, r) {\n  return void 0 === t && (t = \"\"), __awaiter(this, void 0, void 0, function () {\n    var a, o, i, s, u, l, c, d, p, h;return __generator(this, function (f) {\n      switch (f.label) {case 0:\n          if (a = e.map(function () {\n            return !1;\n          }), o = {}, i = null != n ? n.map(function () {\n            return !1;\n          }) : [], s = [], e.forEach(function (e, t) {\n            var r = 0;e.weights.forEach(function (e) {\n              var u = \"quantization\" in e ? e.quantization.dtype : e.dtype,\n                  l = DTYPE_VALUE_SIZE_MAP[u] * sizeFromShape(e.shape),\n                  c = function () {\n                a[t] = !0, null == o[t] && (o[t] = []), o[t].push({ manifestEntry: e, groupOffset: r, sizeBytes: l });\n              };null != n ? n.forEach(function (t, n) {\n                t === e.name && (c(), i[n] = !0);\n              }) : c(), s.push(e.name), r += l;\n            });\n          }), !i.every(function (e) {\n            return e;\n          })) throw u = n.filter(function (e, t) {\n            return !i[t];\n          }), new Error(\"Could not find weights in manifest with names: \" + u.join(\", \") + \". \\nManifest JSON has weights with names: \" + s.join(\", \") + \".\");return l = a.reduce(function (e, t, n) {\n            return t && e.push(n), e;\n          }, []), c = [], l.forEach(function (n) {\n            e[n].paths.forEach(function (e) {\n              var n = t + (t.endsWith(\"/\") ? \"\" : \"/\") + e;c.push(n);\n            });\n          }), [4, loadWeightsAsArrayBuffer(c, r)];case 1:\n          return d = f.sent(), p = {}, h = 0, l.forEach(function (t) {\n            for (var n = e[t].paths.length, r = 0, a = 0; a < n; a++) r += d[h + a].byteLength;for (var i = new ArrayBuffer(r), s = new Uint8Array(i), u = 0, l = 0; l < n; l++) {\n              var c = new Uint8Array(d[h + l]);s.set(c, u), u += c.byteLength;\n            }o[t].forEach(function (e) {\n              var t,\n                  n = i.slice(e.groupOffset, e.groupOffset + e.sizeBytes),\n                  r = e.manifestEntry.dtype;if (\"quantization\" in e.manifestEntry) {\n                var a = e.manifestEntry.quantization;if (\"uint8\" !== a.dtype && \"uint16\" !== a.dtype) throw new Error(\"Weight \" + e.manifestEntry.name + \" has unknown quantization dtype \" + a.dtype + \".\");var o = \"uint8\" === a.dtype ? new Uint8Array(n) : new Uint16Array(n);if (\"float32\" === r) t = Float32Array.from(o, function (e) {\n                  return e * a.scale + a.min;\n                });else {\n                  if (\"int32\" !== r) throw new Error(\"Weight \" + e.manifestEntry.name + \" has a dtype not supported by quantization: \" + r);t = Int32Array.from(o, function (e) {\n                    return Math.round(e * a.scale + a.min);\n                  });\n                }\n              } else if (\"float32\" === r) t = new Float32Array(n);else {\n                if (\"int32\" !== r) throw new Error(\"Weight \" + e.manifestEntry.name + \" has unknown dtype \" + r + \".\");t = new Int32Array(n);\n              }var s = e.manifestEntry.name;if (null != p[s]) throw new Error(\"Duplicate weight with name \" + s + \". Please make sure weights names are unique in the manifest JSON.\");p[s] = tensor(t, e.manifestEntry.shape, e.manifestEntry.dtype);\n            }), h += n;\n          }), [2, p];}\n    });\n  });\n}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest = function () {\n  function e(e, t) {\n    if (this.DEFAULT_METHOD = \"POST\", !ENV.get(\"IS_BROWSER\")) throw new Error(\"browserHTTPRequest is not supported outside the web browser.\");if (assert(null != e && e.length > 0, \"URL path for browserHTTPRequest must not be null, undefined or empty.\"), this.path = e, null != t && null != t.body) throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit = t || {};\n  }return e.prototype.save = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n, r, a;return __generator(this, function (o) {\n        switch (o.label) {case 0:\n            if (e.modelTopology instanceof ArrayBuffer) throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return (t = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit)).body = new FormData(), n = [{ paths: [\"./model.weights.bin\"], weights: e.weightSpecs }], r = { modelTopology: e.modelTopology, weightsManifest: n }, t.body.append(\"model.json\", new Blob([JSON.stringify(r)], { type: \"application/json\" }), \"model.json\"), null != e.weightData && t.body.append(\"model.weights.bin\", new Blob([e.weightData], { type: \"application/octet-stream\" }), \"model.weights.bin\"), [4, fetch(this.path, t)];case 1:\n            if (200 === (a = o.sent()).status) return [2, { modelArtifactsInfo: getModelArtifactsInfoForJSON(e), responses: [a] }];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \" + a.status + \".\");}\n      });\n    });\n  }, e.prototype.load = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e, t, n, r, a, o, i, s, u, l, c, d;return __generator(this, function (p) {\n        switch (p.label) {case 0:\n            return [4, fetch(this.path, this.requestInit)];case 1:\n            return [4, p.sent().json()];case 2:\n            if (e = p.sent(), t = e.modelTopology, n = e.weightsManifest, null == t && null == n) throw new Error(\"The JSON from HTTP path \" + this.path + \" contains neither model topology or manifest for weights.\");if (null == n) return [3, 4];for (o = e.weightsManifest, r = [], i = 0, s = o; i < s.length; i++) u = s[i], r.push.apply(r, u.weights);return (l = this.path.substring(0, this.path.lastIndexOf(\"/\"))).endsWith(\"/\") || (l += \"/\"), c = [], o.forEach(function (e) {\n              e.paths.forEach(function (e) {\n                c.push(l + e);\n              });\n            }), d = concatenateArrayBuffers, [4, loadWeightsAsArrayBuffer(c, this.requestInit)];case 3:\n            a = d.apply(void 0, [p.sent()]), p.label = 4;case 4:\n            return [2, { modelTopology: t, weightSpecs: r, weightData: a }];}\n      });\n    });\n  }, e.URL_SCHEMES = [\"http://\", \"https://\"], e;\n}(),\n    httpRequestRouter = function (e) {\n  if (ENV.get(\"IS_BROWSER\")) {\n    for (var t = 0, n = BrowserHTTPRequest.URL_SCHEMES; t < n.length; t++) {\n      var r = n[t];if (e.startsWith(r)) return browserHTTPRequest(e);\n    }return null;\n  }return null;\n};function browserHTTPRequest(e, t) {\n  return new BrowserHTTPRequest(e, t);\n}IORouterRegistry.registerSaveRouter(httpRequestRouter), IORouterRegistry.registerLoadRouter(httpRequestRouter);var registerSaveRouter = IORouterRegistry.registerSaveRouter,\n    registerLoadRouter = IORouterRegistry.registerLoadRouter,\n    getSaveHandlers = IORouterRegistry.getSaveHandlers,\n    getLoadHandlers = IORouterRegistry.getLoadHandlers,\n    copyModel = ModelManagement.copyModel,\n    listModels = ModelManagement.listModels,\n    moveModel = ModelManagement.moveModel,\n    removeModel = ModelManagement.removeModel,\n    io = Object.freeze({ browserFiles: browserFiles, browserHTTPRequest: browserHTTPRequest, concatenateArrayBuffers: concatenateArrayBuffers, copyModel: copyModel, decodeWeights: decodeWeights, encodeWeights: encodeWeights, getLoadHandlers: getLoadHandlers, getModelArtifactsInfoForJSON: getModelArtifactsInfoForJSON, getSaveHandlers: getSaveHandlers, listModels: listModels, loadWeights: loadWeights, moveModel: moveModel, registerLoadRouter: registerLoadRouter, registerSaveRouter: registerSaveRouter, removeModel: removeModel }),\n    Serializable = function () {\n  function e() {}return e.prototype.getClassName = function () {\n    return this.constructor.className;\n  }, e.fromConfig = function (e, t) {\n    return new e(t);\n  }, e;\n}(),\n    SerializationMap = function () {\n  function e() {\n    this.classNameMap = {};\n  }return e.getMap = function () {\n    return null == e.instance && (e.instance = new e()), e.instance;\n  }, e.register = function (e) {\n    this.getMap().classNameMap[e.className] = [e, e.fromConfig];\n  }, e;\n}(),\n    serialization = Object.freeze({ Serializable: Serializable, SerializationMap: SerializationMap }),\n    WEBGL_ENVS = [{ BACKEND: \"test-webgl\", WEBGL_RENDER_FLOAT32_ENABLED: !0, WEBGL_DOWNLOAD_FLOAT_ENABLED: !0, WEBGL_VERSION: 1 }, { BACKEND: \"test-webgl\", WEBGL_RENDER_FLOAT32_ENABLED: !0, WEBGL_DOWNLOAD_FLOAT_ENABLED: !0, WEBGL_VERSION: 2 }],\n    CPU_ENVS = [{ BACKEND: \"test-cpu\" }],\n    CHROME_CPU_ENVS = [{ BACKEND: \"test-cpu\", IS_CHROME: !0 }],\n    NATIVE_ENV = {},\n    BROWSER_ENVS = WEBGL_ENVS.concat(CPU_ENVS),\n    ALL_ENVS = [NATIVE_ENV].concat(BROWSER_ENVS);function expectArraysClose(e, t, n) {\n  if (null == n && (n = ENV.get(\"TEST_EPSILON\")), e instanceof Tensor || t instanceof Tensor) {\n    if (e instanceof Tensor && t instanceof Tensor) {\n      if (e.dtype !== t.dtype) throw new Error(\"Arrays are of different type actual: \" + e.dtype + \" vs expected: \" + t.dtype + \".\");if (!arraysEqual(e.shape, t.shape)) throw new Error(\"Arrays are of different shape actual: \" + e.shape + \" vs expected: \" + t.shape + \".\");\n    }\n  } else {\n    var r = e.constructor.name,\n        a = t.constructor.name;if (r !== a) throw new Error(\"Arrays are of different type actual: \" + r + \" vs expected: \" + a);\n  }var o, i;if (o = e instanceof Tensor ? e.dataSync() : e, i = t instanceof Tensor ? t.dataSync() : t, o.length !== i.length) throw new Error(\"Arrays have different lengths actual: \" + o.length + \" vs expected: \" + i.length + \".\\nActual:   \" + o + \".\\nExpected: \" + i + \".\");for (var s = 0; s < i.length; ++s) {\n    var u = o[s],\n        l = i[s];if (!areClose(u, Number(l), n)) throw new Error(\"Arrays differ: actual[\" + s + \"] = \" + u + \", expected[\" + s + \"] = \" + l + \".\\nActual:   \" + o + \".\\nExpected: \" + i + \".\");\n  }\n}function expectPromiseToFail(e, t) {\n  e().then(function () {\n    return t.fail();\n  }, function () {\n    return t();\n  });\n}function expectArraysEqual(e, t) {\n  return expectArraysClose(e, t, 0);\n}function expectNumbersClose(e, t, n) {\n  if (null == n && (n = ENV.get(\"TEST_EPSILON\")), !areClose(e, t, n)) throw new Error(\"Numbers differ: actual === \" + e + \", expected === \" + t);\n}function areClose(e, t, n) {\n  return !(!isNaN(e) || !isNaN(t)) || !(isNaN(e) || isNaN(t) || Math.abs(e - t) > n);\n}function expectValuesInRange(e, t, n) {\n  var r;r = e instanceof Tensor ? e.dataSync() : e;for (var a = 0; a < r.length; a++) if (r[a] < t || r[a] > n) throw new Error(\"Value out of range:\" + r[a] + \" low: \" + t + \", high: \" + n);\n}function expectArrayBuffersEqual(e, t) {\n  expect(new Float32Array(e)).toEqual(new Float32Array(t));\n}var test_util = Object.freeze({ WEBGL_ENVS: WEBGL_ENVS, CPU_ENVS: CPU_ENVS, CHROME_CPU_ENVS: CHROME_CPU_ENVS, NATIVE_ENV: NATIVE_ENV, BROWSER_ENVS: BROWSER_ENVS, ALL_ENVS: ALL_ENVS, expectArraysClose: expectArraysClose, expectPromiseToFail: expectPromiseToFail, expectArraysEqual: expectArraysEqual, expectNumbersClose: expectNumbersClose, expectValuesInRange: expectValuesInRange, expectArrayBuffersEqual: expectArrayBuffersEqual }),\n    version = \"0.11.9\",\n    webgl = Object.freeze({ gpgpu_util: gpgpu_util, webgl_util: webgl_util, MathBackendWebGL: MathBackendWebGL, GPGPUContext: GPGPUContext }),\n    Optimizer = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.minimize = function (e, t, n) {\n    void 0 === t && (t = !1);var r = this.computeGradients(e, n),\n        a = r.value,\n        o = r.grads;return this.applyGradients(o), Object.keys(o).forEach(function (e) {\n      return o[e].dispose();\n    }), t ? a : (a.dispose(), null);\n  }, t.prototype.computeGradients = function (e, t) {\n    return variableGrads(e, t);\n  }, __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\" })], t.prototype, \"minimize\", null), t = __decorate([doc({ heading: \"Training\", subheading: \"Classes\", namespace: \"train\" })], t);\n}(Serializable),\n    DEFAULT_FLOAT32_EPSILON = 1e-8,\n    DEFAULT_FLOAT16_EPSILON = 1e-4;function getOptimizerDefaultEpsilonValue() {\n  return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\") ? DEFAULT_FLOAT32_EPSILON : DEFAULT_FLOAT16_EPSILON;\n}var AdadeltaOptimizer = function (e) {\n  function t(t, n, r) {\n    void 0 === r && (r = null);var a = e.call(this) || this;return a.learningRate = t, a.rho = n, a.epsilon = r, a.accumulatedGrads = {}, a.accumulatedUpdates = {}, a.c = keep(scalar(-t)), a.rhoScalar = keep(scalar(n)), a.oneMinusRho = keep(scalar(1 - n)), null === r && (r = getOptimizerDefaultEpsilonValue()), a.epsilonScalar = keep(scalar(r)), a;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this,\n        n = function (n) {\n      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedGrads[n]) {\n        tidy(function () {\n          t.accumulatedGrads[n] = zerosLike(a).variable(!1);\n        });\n      }if (null == r.accumulatedUpdates[n]) {\n        tidy(function () {\n          t.accumulatedUpdates[n] = zerosLike(a).variable(!1);\n        });\n      }var o = e[n],\n          i = r.accumulatedGrads[n],\n          s = r.accumulatedUpdates[n];tidy(function () {\n        var e = t.rhoScalar.mul(i).add(t.oneMinusRho.mul(o.square())),\n            r = s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(o),\n            u = t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e), t.accumulatedUpdates[n].assign(u);var l = t.c.mul(r).add(a);a.assign(l);\n      });\n    },\n        r = this;for (var a in e) n(a);\n  }, t.prototype.dispose = function () {\n    var e = this;this.c.dispose(), this.epsilonScalar.dispose(), this.rhoScalar.dispose(), this.oneMinusRho.dispose(), null != this.accumulatedUpdates && (Object.keys(this.accumulatedUpdates).forEach(function (t) {\n      return e.accumulatedUpdates[t].dispose();\n    }), Object.keys(this.accumulatedGrads).forEach(function (t) {\n      return e.accumulatedGrads[t].dispose();\n    }));\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, rho: this.rho, epsilon: this.epsilon };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.rho, t.epsilon);\n  }, t.className = \"AdadeltaOptimizer\", t;\n}(Optimizer);SerializationMap.register(AdadeltaOptimizer);var AdagradOptimizer = function (e) {\n  function t(t, n) {\n    void 0 === n && (n = .1);var r = e.call(this) || this;r.learningRate = t, r.initialAccumulatorValue = n, r.accumulatedGrads = {}, r.c = keep(scalar(-t));var a = getOptimizerDefaultEpsilonValue();return r.epsilon = keep(scalar(a)), r;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this,\n        n = function (n) {\n      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedGrads[n]) {\n        tidy(function () {\n          t.accumulatedGrads[n] = fill(a.shape, t.initialAccumulatorValue).variable(!1);\n        });\n      }var o = e[n],\n          i = r.accumulatedGrads[n];tidy(function () {\n        var e = i.add(o.square());t.accumulatedGrads[n].assign(e);var r = t.c.mul(o.div(e.add(t.epsilon).sqrt())).add(a);a.assign(r);\n      });\n    },\n        r = this;for (var a in e) n(a);\n  }, t.prototype.dispose = function () {\n    var e = this;this.epsilon.dispose(), this.c.dispose(), null != this.accumulatedGrads && Object.keys(this.accumulatedGrads).forEach(function (t) {\n      return e.accumulatedGrads[t].dispose();\n    });\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, initialAccumulatorValue: this.initialAccumulatorValue };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.initialAccumulatorValue);\n  }, t.className = \"AdagradOptimizer\", t;\n}(Optimizer);SerializationMap.register(AdagradOptimizer);var AdamOptimizer = function (e) {\n  function t(t, n, r, a) {\n    void 0 === a && (a = null);var o = e.call(this) || this;return o.learningRate = t, o.beta1 = n, o.beta2 = r, o.epsilon = a, o.accumulatedFirstMoment = {}, o.accumulatedSecondMoment = {}, o.c = keep(scalar(-t)), o.beta1Scalar = keep(scalar(n)), o.beta2Scalar = keep(scalar(r)), tidy(function () {\n      o.accBeta1 = scalar(n).variable(), o.accBeta2 = scalar(r).variable();\n    }), o.oneMinusBeta1 = keep(scalar(1 - n)), o.oneMinusBeta2 = keep(scalar(1 - r)), o.one = keep(scalar(1)), null === a && (a = getOptimizerDefaultEpsilonValue()), o.epsScalar = keep(scalar(a)), o;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this;tidy(function () {\n      var n = t.one.sub(t.accBeta1),\n          r = t.one.sub(t.accBeta2);for (var a in e) {\n        var o = ENV.engine.registeredVariables[a];if (null == t.accumulatedFirstMoment[a]) {\n          var i = !1;t.accumulatedFirstMoment[a] = zerosLike(o).variable(i);\n        }if (null == t.accumulatedSecondMoment[a]) {\n          i = !1;t.accumulatedSecondMoment[a] = zerosLike(o).variable(i);\n        }var s = e[a],\n            u = t.accumulatedFirstMoment[a],\n            l = t.accumulatedSecondMoment[a],\n            c = t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),\n            d = t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),\n            p = c.div(n),\n            h = d.div(r);t.accumulatedFirstMoment[a].assign(c), t.accumulatedSecondMoment[a].assign(d);var f = t.c.mul(p.div(t.epsScalar.add(h.sqrt()))).add(o);o.assign(f);\n      }t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)), t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar));\n    });\n  }, t.prototype.dispose = function () {\n    var e = this;this.c.dispose(), this.epsScalar.dispose(), this.beta1Scalar.dispose(), this.beta2Scalar.dispose(), this.accBeta1.dispose(), this.accBeta2.dispose(), this.oneMinusBeta1.dispose(), this.oneMinusBeta2.dispose(), this.one.dispose(), null != this.accumulatedFirstMoment && Object.keys(this.accumulatedFirstMoment).forEach(function (t) {\n      return e.accumulatedFirstMoment[t].dispose();\n    }), null != this.accumulatedSecondMoment && Object.keys(this.accumulatedSecondMoment).forEach(function (t) {\n      return e.accumulatedSecondMoment[t].dispose();\n    });\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, beta1: this.beta1, beta2: this.beta2, epsilon: this.epsilon };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.beta1, t.beta2, t.epsilon);\n  }, t.className = \"AdamOptimizer\", t;\n}(Optimizer);SerializationMap.register(AdamOptimizer);var AdamaxOptimizer = function (e) {\n  function t(t, n, r, a, o) {\n    void 0 === a && (a = null), void 0 === o && (o = 0);var i = e.call(this) || this;return i.learningRate = t, i.beta1 = n, i.beta2 = r, i.epsilon = a, i.decay = o, i.accumulatedFirstMoment = {}, i.accumulatedWeightedInfNorm = {}, i.c = keep(scalar(-t)), i.beta1Scalar = keep(scalar(n)), i.beta2Scalar = keep(scalar(r)), i.decayScalar = keep(scalar(o)), tidy(function () {\n      i.iteration = scalar(0).variable(), i.accBeta1 = scalar(n).variable();\n    }), i.oneMinusBeta1 = keep(scalar(1 - n)), i.one = keep(scalar(1)), null === a && (a = getOptimizerDefaultEpsilonValue()), i.epsScalar = keep(scalar(a)), i;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this;tidy(function () {\n      var n = t.one.sub(t.accBeta1),\n          r = t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for (var a in e) {\n        var o = ENV.engine.registeredVariables[a];if (null == t.accumulatedFirstMoment[a]) {\n          var i = !1;t.accumulatedFirstMoment[a] = zerosLike(o).variable(i);\n        }if (null == t.accumulatedWeightedInfNorm[a]) {\n          i = !1;t.accumulatedWeightedInfNorm[a] = zerosLike(o).variable(i);\n        }var s = e[a],\n            u = t.accumulatedFirstMoment[a],\n            l = t.accumulatedWeightedInfNorm[a],\n            c = t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),\n            d = t.beta2Scalar.mul(l),\n            p = s.abs(),\n            h = d.maximum(p);t.accumulatedFirstMoment[a].assign(c), t.accumulatedWeightedInfNorm[a].assign(h);var f = r.div(n).mul(c.div(t.epsScalar.add(h))).add(o);o.assign(f);\n      }t.iteration.assign(t.iteration.add(t.one)), t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar));\n    });\n  }, t.prototype.dispose = function () {\n    var e = this;this.c.dispose(), this.epsScalar.dispose(), this.accBeta1.dispose(), this.beta1Scalar.dispose(), this.beta2Scalar.dispose(), this.oneMinusBeta1.dispose(), this.decayScalar.dispose(), this.iteration.dispose(), this.one.dispose(), null != this.accumulatedFirstMoment && Object.keys(this.accumulatedFirstMoment).forEach(function (t) {\n      return e.accumulatedFirstMoment[t].dispose();\n    }), null != this.accumulatedWeightedInfNorm && Object.keys(this.accumulatedWeightedInfNorm).forEach(function (t) {\n      return e.accumulatedWeightedInfNorm[t].dispose();\n    });\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, beta1: this.beta1, beta2: this.beta2, epsilon: this.epsilon, decay: this.decay };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.beta1, t.beta2, t.epsilon, t.decay);\n  }, t.className = \"AdamaxOptimizer\", t;\n}(Optimizer);SerializationMap.register(AdamaxOptimizer);var SGDOptimizer = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.learningRate = t, n.setLearningRate(t), n;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this;Object.keys(e).forEach(function (n) {\n      var r = e[n],\n          a = ENV.engine.registeredVariables[n];tidy(function () {\n        var e = t.c.mul(r).add(a);a.assign(e);\n      });\n    });\n  }, t.prototype.setLearningRate = function (e) {\n    this.learningRate = e, null != this.c && this.c.dispose(), this.c = keep(scalar(-e));\n  }, t.prototype.dispose = function () {\n    this.c.dispose();\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate);\n  }, t.className = \"SGDOptimizer\", t;\n}(Optimizer);SerializationMap.register(SGDOptimizer);var MomentumOptimizer = function (e) {\n  function t(t, n, r) {\n    void 0 === r && (r = !1);var a = e.call(this, t) || this;return a.learningRate = t, a.momentum = n, a.useNesterov = r, a.m = scalar(a.momentum), a.accumulations = {}, a;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this,\n        n = function (n) {\n      var a = ENV.engine.registeredVariables[n];if (null == r.accumulations[n]) {\n        tidy(function () {\n          t.accumulations[n] = zerosLike(a).variable(!1);\n        });\n      }var o = r.accumulations[n],\n          i = e[n];tidy(function () {\n        var e,\n            r = t.m.mul(o).add(i);e = t.useNesterov ? t.c.mul(i.add(r.mul(t.m))).add(a) : t.c.mul(r).add(a), t.accumulations[n].assign(r), a.assign(e);\n      });\n    },\n        r = this;for (var a in e) n(a);\n  }, t.prototype.dispose = function () {\n    if (e.prototype.dispose.call(this), this.m.dispose(), null != this.accumulations) for (var t in this.accumulations) this.accumulations[t].dispose();\n  }, t.prototype.setMomentum = function (e) {\n    this.momentum = e;\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, momentum: this.momentum, useNesterov: this.useNesterov };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.momentum, t.useNesterov);\n  }, t.className = \"MomentumOptimizer\", t;\n}(SGDOptimizer);SerializationMap.register(MomentumOptimizer);var RMSPropOptimizer = function (e) {\n  function t(t, n, r, a, o) {\n    void 0 === n && (n = .9), void 0 === r && (r = 0), void 0 === a && (a = null), void 0 === o && (o = !1);var i = e.call(this) || this;return i.learningRate = t, i.decay = n, i.momentum = r, i.epsilon = a, i.accumulatedMeanSquares = {}, i.accumulatedMeanGrads = {}, i.accumulatedMoments = {}, i.c = keep(scalar(t)), i.decayScalar = keep(scalar(n)), i.momentumScalar = keep(scalar(r)), i.oneMinusDecay = keep(scalar(1 - n)), i.centered = o, null === a && (a = getOptimizerDefaultEpsilonValue()), i.epsilonScalar = keep(scalar(a)), i;\n  }return __extends(t, e), t.prototype.applyGradients = function (e) {\n    var t = this,\n        n = function (n) {\n      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedMeanSquares[n]) {\n        tidy(function () {\n          t.accumulatedMeanSquares[n] = zerosLike(a).variable(!1);\n        });\n      }if (null == r.accumulatedMeanGrads[n] && r.centered) {\n        tidy(function () {\n          t.accumulatedMeanGrads[n] = zerosLike(a).variable(!1);\n        });\n      }if (null == r.accumulatedMoments[n]) {\n        tidy(function () {\n          t.accumulatedMoments[n] = zerosLike(a).variable(!1);\n        });\n      }var o = r.accumulatedMeanSquares[n],\n          i = r.accumulatedMeanGrads[n],\n          s = r.accumulatedMoments[n],\n          u = e[n];tidy(function () {\n        var e = t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));if (t.centered) {\n          var r = t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),\n              l = t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(r.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[n].assign(e), t.accumulatedMeanGrads[n].assign(r), t.accumulatedMoments[n].assign(l);var c = a.sub(l);a.assign(c);\n        } else {\n          var d = t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));l = t.momentumScalar.mul(s).add(t.c.mul(u).div(d.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[n].assign(d), t.accumulatedMoments[n].assign(l);c = a.sub(l);a.assign(c);\n        }\n      });\n    },\n        r = this;for (var a in e) n(a);\n  }, t.prototype.dispose = function () {\n    var e = this;this.c.dispose(), this.epsilonScalar.dispose(), this.decayScalar.dispose(), this.momentumScalar.dispose(), this.oneMinusDecay.dispose(), null != this.accumulatedMeanSquares && Object.keys(this.accumulatedMeanSquares).forEach(function (t) {\n      return e.accumulatedMeanSquares[t].dispose();\n    }), null != this.accumulatedMeanGrads && this.centered && Object.keys(this.accumulatedMeanGrads).forEach(function (t) {\n      return e.accumulatedMeanGrads[t].dispose();\n    }), null != this.accumulatedMoments && Object.keys(this.accumulatedMoments).forEach(function (t) {\n      return e.accumulatedMoments[t].dispose();\n    });\n  }, t.prototype.getConfig = function () {\n    return { learningRate: this.learningRate, decay: this.decay, momentum: this.momentum, epsilon: this.epsilon, centered: this.centered };\n  }, t.fromConfig = function (e, t) {\n    return new e(t.learningRate, t.decay, t.momentum, t.epsilon, t.centered);\n  }, t.className = \"RMSPropOptimizer\", t;\n}(Optimizer);SerializationMap.register(RMSPropOptimizer);var OptimizerConstructors = function () {\n  function e() {}return e.sgd = function (e) {\n    return new SGDOptimizer(e);\n  }, e.momentum = function (e, t, n) {\n    return void 0 === n && (n = !1), new MomentumOptimizer(e, t, n);\n  }, e.rmsprop = function (e, t, n, r, a) {\n    return void 0 === t && (t = .9), void 0 === n && (n = 0), void 0 === r && (r = null), void 0 === a && (a = !1), new RMSPropOptimizer(e, t, n, r, a);\n  }, e.adam = function (e, t, n, r) {\n    return void 0 === e && (e = .001), void 0 === t && (t = .9), void 0 === n && (n = .999), void 0 === r && (r = null), new AdamOptimizer(e, t, n, r);\n  }, e.adadelta = function (e, t, n) {\n    return void 0 === e && (e = .001), void 0 === t && (t = .95), void 0 === n && (n = null), new AdadeltaOptimizer(e, t, n);\n  }, e.adamax = function (e, t, n, r, a) {\n    return void 0 === e && (e = .002), void 0 === t && (t = .9), void 0 === n && (n = .999), void 0 === r && (r = null), void 0 === a && (a = 0), new AdamaxOptimizer(e, t, n, r, a);\n  }, e.adagrad = function (e, t) {\n    return void 0 === t && (t = .1), new AdagradOptimizer(e, t);\n  }, __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"sgd\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"momentum\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"rmsprop\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"adam\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"adadelta\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"adamax\", null), __decorate([doc({ heading: \"Training\", subheading: \"Optimizers\", namespace: \"train\" })], e, \"adagrad\", null), e;\n}(),\n    train = { sgd: OptimizerConstructors.sgd, momentum: OptimizerConstructors.momentum, adadelta: OptimizerConstructors.adadelta, adagrad: OptimizerConstructors.adagrad, rmsprop: OptimizerConstructors.rmsprop, adamax: OptimizerConstructors.adamax, adam: OptimizerConstructors.adam },\n    setBackend = Environment.setBackend,\n    getBackend = Environment.getBackend,\n    disposeVariables = Environment.disposeVariables,\n    memory = Environment.memory,\n    nextFrame = BrowserUtil.nextFrame;exports.setBackend = setBackend;\nexports.getBackend = getBackend;\nexports.disposeVariables = disposeVariables;\nexports.memory = memory;\nexports.version_core = version;\nexports.nextFrame = nextFrame;\nexports.environment = environment;\nexports.io = io;\nexports.serialization = serialization;\nexports.test_util = test_util;\nexports.util = util;\nexports.webgl = webgl;\nexports.AdadeltaOptimizer = AdadeltaOptimizer;\nexports.AdagradOptimizer = AdagradOptimizer;\nexports.AdamOptimizer = AdamOptimizer;\nexports.AdamaxOptimizer = AdamaxOptimizer;\nexports.MomentumOptimizer = MomentumOptimizer;\nexports.Optimizer = Optimizer;\nexports.RMSPropOptimizer = RMSPropOptimizer;\nexports.SGDOptimizer = SGDOptimizer;\nexports.Tensor = Tensor;\nexports.TensorBuffer = TensorBuffer;\nexports.variable = variable;\nexports.Variable = Variable;\nexports.Rank = Rank;\nexports.Reduction = Reduction;\nexports.ENV = ENV;\nexports.Environment = Environment;\nexports.doc = doc;\nexports.batchNormalization = batchNormalization;\nexports.batchNormalization2d = batchNormalization2d;\nexports.batchNormalization3d = batchNormalization3d;\nexports.batchNormalization4d = batchNormalization4d;\nexports.concat = concat;\nexports.concat1d = concat1d;\nexports.concat2d = concat2d;\nexports.concat3d = concat3d;\nexports.concat4d = concat4d;\nexports.conv1d = conv1d;\nexports.conv2d = conv2d;\nexports.conv2dTranspose = conv2dTranspose;\nexports.depthwiseConv2d = depthwiseConv2d;\nexports.separableConv2d = separableConv2d;\nexports.matMul = matMul;\nexports.matrixTimesVector = matrixTimesVector;\nexports.outerProduct = outerProduct;\nexports.vectorTimesMatrix = vectorTimesMatrix;\nexports.dot = dot;\nexports.avgPool = avgPool;\nexports.maxPool = maxPool;\nexports.transpose = transpose;\nexports.reverse = reverse;\nexports.reverse1d = reverse1d;\nexports.reverse2d = reverse2d;\nexports.reverse3d = reverse3d;\nexports.reverse4d = reverse4d;\nexports.slice = slice;\nexports.slice1d = slice1d;\nexports.slice2d = slice2d;\nexports.slice3d = slice3d;\nexports.slice4d = slice4d;\nexports.stridedSlice = stridedSlice;\nexports.argMax = argMax;\nexports.argMin = argMin;\nexports.logSumExp = logSumExp;\nexports.max = max;\nexports.mean = mean;\nexports.min = min;\nexports.all = all;\nexports.moments = moments;\nexports.sum = sum;\nexports.unsortedSegmentSum = unsortedSegmentSum;\nexports.equal = equal;\nexports.equalStrict = equalStrict;\nexports.greater = greater;\nexports.greaterStrict = greaterStrict;\nexports.greaterEqual = greaterEqual;\nexports.greaterEqualStrict = greaterEqualStrict;\nexports.less = less;\nexports.lessStrict = lessStrict;\nexports.lessEqual = lessEqual;\nexports.lessEqualStrict = lessEqualStrict;\nexports.notEqual = notEqual;\nexports.notEqualStrict = notEqualStrict;\nexports.logicalNot = logicalNot;\nexports.logicalAnd = logicalAnd;\nexports.logicalOr = logicalOr;\nexports.logicalXor = logicalXor;\nexports.where = where;\nexports.abs = abs;\nexports.acos = acos;\nexports.acosh = acosh;\nexports.asin = asin;\nexports.asinh = asinh;\nexports.atan = atan;\nexports.atanh = atanh;\nexports.ceil = ceil;\nexports.clipByValue = clipByValue;\nexports.cos = cos;\nexports.cosh = cosh;\nexports.elu = elu;\nexports.exp = exp;\nexports.expm1 = expm1;\nexports.floor = floor;\nexports.sign = sign;\nexports.leakyRelu = leakyRelu;\nexports.log = log;\nexports.log1p = log1p;\nexports.logSigmoid = logSigmoid;\nexports.neg = neg;\nexports.prelu = prelu;\nexports.relu = relu;\nexports.reciprocal = reciprocal;\nexports.round = round;\nexports.selu = selu;\nexports.sigmoid = sigmoid;\nexports.sin = sin;\nexports.sinh = sinh;\nexports.softplus = softplus;\nexports.sqrt = sqrt;\nexports.rsqrt = rsqrt;\nexports.square = square;\nexports.step = step;\nexports.tan = tan;\nexports.tanh = tanh$1;\nexports.erf = erf;\nexports.add = add;\nexports.addStrict = addStrict;\nexports.atan2 = atan2;\nexports.div = div;\nexports.floorDiv = floorDiv;\nexports.divStrict = divStrict;\nexports.maximum = maximum;\nexports.maximumStrict = maximumStrict;\nexports.minimum = minimum;\nexports.minimumStrict = minimumStrict;\nexports.mod = mod;\nexports.modStrict = modStrict;\nexports.mul = mul;\nexports.mulStrict = mulStrict;\nexports.pow = pow;\nexports.powStrict = powStrict;\nexports.sub = sub;\nexports.subStrict = subStrict;\nexports.squaredDifference = squaredDifference;\nexports.squaredDifferenceStrict = squaredDifferenceStrict;\nexports.norm = norm;\nexports.cast = cast;\nexports.clone = clone;\nexports.fromPixels = fromPixels;\nexports.toPixels = toPixels;\nexports.ones = ones;\nexports.onesLike = onesLike;\nexports.zeros = zeros;\nexports.zerosLike = zerosLike;\nexports.eye = eye;\nexports.rand = rand;\nexports.randomNormal = randomNormal;\nexports.truncatedNormal = truncatedNormal;\nexports.randomUniform = randomUniform;\nexports.multinomial = multinomial;\nexports.reshape = reshape;\nexports.squeeze = squeeze;\nexports.tile = tile;\nexports.gather = gather;\nexports.oneHot = oneHot;\nexports.linspace = linspace;\nexports.range = range;\nexports.buffer = buffer;\nexports.fill = fill;\nexports.tensor = tensor;\nexports.scalar = scalar;\nexports.tensor1d = tensor1d;\nexports.tensor2d = tensor2d;\nexports.tensor3d = tensor3d;\nexports.tensor4d = tensor4d;\nexports.tensor5d = tensor5d;\nexports.tensor6d = tensor6d;\nexports.print = print;\nexports.expandDims = expandDims;\nexports.stack = stack;\nexports.unstack = unstack;\nexports.split = split;\nexports.cumsum = cumsum;\nexports.pad = pad;\nexports.pad1d = pad1d;\nexports.pad2d = pad2d;\nexports.pad3d = pad3d;\nexports.pad4d = pad4d;\nexports.movingAverage = movingAverage;\nexports.basicLSTMCell = basicLSTMCell;\nexports.multiRNNCell = multiRNNCell;\nexports.softmax = softmax;\nexports.sigmoidCrossEntropyWithLogits = sigmoidCrossEntropyWithLogits;\nexports.localResponseNormalization = localResponseNormalization;\nexports.linalg = linalg;\nexports.losses = losses;\nexports.image = image;\nexports.operation = operation;\nexports.train = train;\nexports.tidy = tidy;\nexports.keep = keep;\nexports.dispose = dispose;\nexports.time = time;\nexports.grad = grad;\nexports.valueAndGrad = valueAndGrad;\nexports.grads = grads;\nexports.valueAndGrads = valueAndGrads;\nexports.variableGrads = variableGrads;\nexports.customGrad = 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function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t]}}function assertArgumentIsTensor(e,t,n){assert(e instanceof Tensor,\"Argument '\"+t+\"' passed to '\"+n+\"' must be a Tensor, but got \"+typeof e+\".\")}function assertArgumentsAreTensors(e,t){var n=function(n){var r=e[n];Array.isArray(r)?r.forEach(function(e,r){assertArgumentIsTensor(e,n+\"[\"+r+\"]\",t)}):assertArgumentIsTensor(r,n,t)};for(var r in e)n(r)}function shuffle(e){for(var t=e.length,n=0,r=0;t>0;)r=Math.random()*t|0,n=e[--t],e[t]=e[r],e[r]=n}function clamp(e,t,n){return Math.max(e,Math.min(t,n))}function randUniform(e,t){return Math.random()*(t-e)+e}function distSquared(e,t){for(var n=0,r=0;r<e.length;r++){var a=Number(e[r])-Number(t[r]);n+=a*a}return n}function assert(e,t){if(!e)throw new Error(t)}function assertShapesMatch(e,t,n){void 0===n&&(n=\"\"),assert(arraysEqual(e,t),n+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\" The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var n=0;n<e.length;++n)flatten(e[n],t);else t.push(e);return t}function inferShape(e){if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var t=[];e instanceof Array;)t.push(e.length),e=e[0];return t}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],n=1;n<e.length;n++)t*=e[n];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,n){return void 0===t&&(t=function(e){return 0}),new Promise(function(r,a){var o=0,i=function(){if(e())r();else{var s=t(++o);null!=n&&o>=n?a():setTimeout(i,s)}};i()})}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];return decodeParam(t,n[0],n[1]),n.join(\"=\")}),t}function decodeParam(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||\"\")}function inferFromImplicitShape(e,t){for(var n=1,r=-1,a=0;a<e.length;++a)if(e[a]>0)n*=e[a];else if(-1===e[a]){if(-1!==r)throw Error(\"Shapes can only have 1 implicit size. Found - 1 at dim \"+r+\" and dim \"+a);r=a}else if(e[a]<=0)throw Error(\"Shapes can not be <= 0. Found \"+e[a]+\" at dim \"+a);if(-1===r){if(t>0&&t!==n)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(t%n!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+n);var o=e.slice();return o[r]=t/n,o}function squeezeShape(e,t){for(var n=[],r=[],a=0,o=0;o<e.length;++o){if(null!=t){if(t[a]===o&&e[o]>1)throw new Error(\"Can't squeeze axis \"+o+\" since its dim '\"+e[o]+\"' is not 1\");(null==t[a]||t[a]>o)&&1===e[o]&&(n.push(e[o]),r.push(o)),t[a]<=o&&a++}e[o]>1&&(n.push(e[o]),r.push(o))}return{newShape:n,keptDims:r}}function getTypedArrayFromDType(e,t){var n=null;if(null==e||\"float32\"===e)n=new Float32Array(t);else if(\"int32\"===e)n=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);n=new Uint8Array(t)}return n}function isTensorInList(e,t){for(var n=0;n<t.length;n++)if(t[n].id===e.id)return!0;return!1}function checkForNaN(e,t,n){if(\"float32\"===t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"The result of the '\"+n+\"' has NaNs.\")}function flattenNameArrayMap(e,t){var n=[];if(e instanceof Tensor)n.push(e);else for(var r=e,a=0;a<t.length;a++)n.push(r[t[a]]);return n}function unflattenToNameArrayMap(e,t){if(e.length!==t.length)throw new Error(\"Cannot unflatten Tensor[], keys and arrays are not of same length.\");for(var n={},r=0;r<e.length;r++)n[e[r]]=t[r];return n}function hasEncodingLoss(e,t){return\"float32\"!==t&&((\"int32\"!==t||\"float32\"===e)&&(\"bool\"!==t||\"bool\"!==e))}function copyTypedArray(e,t){if(null==t||\"float32\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t){for(var n=new Uint8Array(e.length),r=0;r<n.length;++r)0!==Math.round(e[r])&&(n[r]=1);return n}throw new Error(\"Unknown data type \"+t)}function isTypedArray(e){return e instanceof Float32Array||e instanceof Int32Array||e instanceof Uint8Array}function bytesPerElement(e){if(\"float32\"===e||\"int32\"===e)return 4;if(\"bool\"===e)return 1;throw new Error(\"Unknown dtype \"+e)}function isFunction(e){return!!(e&&e.constructor&&e.call&&e.apply)}function getTensorsInContainer(e){var t=[];return walkTensorContainer(e,t,new Set),t}function walkTensorContainer(e,t,n){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var r=e;for(var a in r){var o=r[a];n.has(o)||(n.add(o),walkTensorContainer(o,t,n))}}}function nearestDivisor(e,t){for(var n=t;n<e;++n)if(e%n==0)return n;return e}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var util=Object.freeze({assertArgumentsAreTensors:assertArgumentsAreTensors,shuffle:shuffle,clamp:clamp,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertTypesMatch:assertTypesMatch,flatten:flatten,inferShape:inferShape,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,getQueryParams:getQueryParams,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,isTensorInList:isTensorInList,checkForNaN:checkForNaN,flattenNameArrayMap:flattenNameArrayMap,unflattenToNameArrayMap:unflattenToNameArrayMap,hasEncodingLoss:hasEncodingLoss,copyTypedArray:copyTypedArray,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,getTensorsInContainer:getTensorsInContainer,nearestDivisor:nearestDivisor}),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t){var n=e.dataSync(),r=computeMaxSizePerColumn(e),a=subTensorToString(n,e.shape,e.strides,r),o=[\"Tensor\"];return t&&(o.push(\"  dtype: \"+e.dtype),o.push(\"  rank: \"+e.rank),o.push(\"  shape: [\"+e.shape+\"]\"),o.push(\"  values:\")),o.push(a.map(function(e){return\"    \"+e}).join(\"\\n\")),o.join(\"\\n\")}function computeMaxSizePerColumn(e){var t=e.dataSync(),n=e.size,r=e.strides[e.strides.length-1],a=new Array(r).fill(0);if(e.rank>1)for(var o=0;o<n/r;o++)for(var i=o*r,s=0;s<r;s++)a[s]=Math.max(a[s],valToString(t[i+s],0).length);return a}function valToString(e,t){return rightPad(parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,n,r,a){void 0===a&&(a=!0);var o=t[0],i=t.length;if(0===i)return[e[0].toString()];if(1===i){if(o>FORMAT_LIMIT_NUM_VALS){var s=Array.from(e.subarray(0,FORMAT_NUM_FIRST_LAST_VALS)),u=Array.from(e.subarray(o-FORMAT_NUM_FIRST_LAST_VALS,o));return[\"[\"+s.map(function(e,t){return valToString(e,r[t])}).join(\", \")+\", ..., \"+u.map(function(e,t){return valToString(e,r[o-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+Array.from(e).map(function(e,t){return valToString(e,r[t])}).join(\", \")+\"]\"]}var l=t.slice(1),c=n.slice(1),d=n[0],p=[];if(o>FORMAT_LIMIT_NUM_VALS){for(var h=0;h<FORMAT_NUM_FIRST_LAST_VALS;h++){var f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,!1))}p.push(\"...\");for(h=o-FORMAT_NUM_FIRST_LAST_VALS;h<o;h++){f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,h===o-1))}}else for(h=0;h<o;h++){var g;f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,h===o-1))}var m=2===i?\",\":\"\";p[0]=\"[\"+p[0]+m;for(h=1;h<p.length-1;h++)p[h]=\" \"+p[h]+m;var v=\",\\n\";for(h=2;h<i;h++)v+=\"\\n\";return p[p.length-1]=\" \"+p[p.length-1]+\"]\"+(a?\"\":v),p}function axesAreInnerMostDims(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function 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n.map(function(n){u[t]=n;var r=e.slice(s,u);return s[t]+=n,r.reshape(a)})},e.split=function(e,t,n){var r;void 0===n&&(n=0),assertArgumentsAreTensors({x:e},\"split\"),n=parseAxisParam(n,e.shape)[0],\"number\"==typeof t?(assert(e.shape[n]%t==0,\"Number of splits must evenly divide the axis.\"),r=Array(t).fill(e.shape[n]/t)):(assert(e.shape[n]===t.reduce(function(e,t){return e+t}),\"The sum of sizes must match the size of the axis dimension.\"),r=t);var a=Array(e.rank).fill(0),o=e.shape.slice();return r.map(function(t){o[n]=t;var r=e.slice(a,o);return a[n]+=t,r})},e.cumsum=function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1),assertArgumentsAreTensors({x:e},\"cumsum\");var a=getAxesPermutation([t|=0],e.rank),o=e;null!=a&&(o=e.transpose(a));var i=getInnerMostAxes(1,e.rank)[0],s=ENV.engine.runKernel(function(e){return e.cumsum(o,i,n,r)},{permutedX:o},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return null!=a&&(s=s.transpose(a)),s},e.expandDims=function(t,n){void 0===n&&(n=0),assertArgumentsAreTensors({x:t},\"expandDims\"),assert(n<=t.rank,\"Axis must be <= rank of the tensor\");var r=t.shape.slice();return r.splice(n,0,1),e.reshape(t,r)},e.linspace=function(t,n,r){if(0===r)throw new Error(\"Cannot request zero samples\");var a=(n-t)/(r-1),o=makeZerosTypedArray(r,\"float32\");o[0]=t;for(var i=1;i<o.length;i++)o[i]=o[i-1]+a;return e.tensor1d(o,\"float32\")},e.range=function(t,n,r,a){if(void 0===r&&(r=1),void 0===a&&(a=\"float32\"),0===r)throw new Error(\"Cannot have a step of zero\");if(t===n||t<n&&r<0||n<t&&r>1)return e.zeros([0],a);var o=makeZerosTypedArray(Math.abs(Math.ceil((n-t)/r)),a);n<t&&1===r&&(r=-1),o[0]=t;for(var i=1;i<o.length;i++)o[i]=o[i-1]+r;return e.tensor1d(o,a)},e.buffer=function(e,t,n){return void 0===t&&(t=\"float32\"),new TensorBuffer(e,t,n)},e.print=function(e,t){void 0===t&&(t=!1),console.log(tensorToString(e,t))},__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"scalar\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor1d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor2d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor3d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor4d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor5d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"tensor6d\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"ones\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"zeros\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"fill\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"onesLike\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"zerosLike\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"clone\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"eye\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"randomNormal\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"truncatedNormal\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"randomUniform\",null),__decorate([operation],e,\"rand\",null),__decorate([operation],e,\"multinomial\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"oneHot\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"}),operation],e,\"fromPixels\",null),__decorate([doc({heading:\"Visualization\"})],e,\"toPixels\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Transformations\"}),operation],e,\"reshape\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Transformations\"})],e,\"squeeze\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Transformations\"}),operation],e,\"cast\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"tile\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"gather\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Transformations\"}),operation],e,\"pad\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"stack\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"unstack\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"split\",null),__decorate([doc({heading:\"Operations\",subheading:\"Scan\"})],e,\"cumsum\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Transformations\"}),operation],e,\"expandDims\",null),__decorate([operation,doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"linspace\",null),__decorate([operation,doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"range\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"buffer\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e,\"print\",null),e}();function makeZerosTypedArray(e,t){if(null==t||\"float32\"===t)return new Float32Array(e);if(\"int32\"===t)return new Int32Array(e);if(\"bool\"===t)return new Uint8Array(e);throw new Error(\"Unknown data type $ {dtype}\")}function makeOnesTypedArray(e,t){for(var n=makeZerosTypedArray(e,t),r=0;r<n.length;r++)n[r]=1;return n}function toTypedArray(e,t){return noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function arrayRange(e,t){for(var n=[],r=e;r<t;++r)n.push(r);return n}function arrayConcat(e){for(var t=[],n=0;n<e.length;++n)for(var r=0;r<e[n].length;++r)t.push(e[n][r]);return t}var BatchNormOps=function(){function e(){}return e.batchNormalization2d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(2===t.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+t.rank+\".\"),assert(2===n.rank||1===n.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+n.rank+\".\"),assert(2===r.rank||1===r.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(2===o.rank||1===o.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization3d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(3===t.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+t.rank+\".\"),assert(3===n.rank||1===n.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+n.rank+\".\"),assert(3===r.rank||1===r.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(3===o.rank||1===o.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization4d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(4===t.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+t.rank+\".\"),assert(4===n.rank||1===n.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+n.rank+\".\"),assert(4===r.rank||1===r.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(4===o.rank||1===o.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization=function(e,t,n,r,a,o){var i;void 0===r&&(r=.001),assertArgumentsAreTensors({x:e,mean:t,variance:n},\"batchNormalization\"),null!=a&&assertArgumentsAreTensors({scale:a},\"batchNormalization\"),null!=o&&assertArgumentsAreTensors({offset:o},\"batchNormalization\"),assert(t.rank===n.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==o||t.rank===o.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==a||t.rank===a.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),i=0===e.rank||1===e.rank?e.as4D(1,1,1,e.size):2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e;return ENV.engine.runKernel(function(e){return e.batchNormalization(i,batchnormReshape4D(t),batchnormReshape4D(n),r,batchnormReshape4D(a),batchnormReshape4D(o))},{x:e,mean:t,variance:n,scale:a,offset:o},function(o){var s=null==a?ArrayOps.scalar(1):a,u=getReductionAxes(t.shape,i.shape),l=[];if(1===t.rank){for(var c=0;c<i.shape.length-1;++c)l.push(i.shape[c]);l.push(1)}var d=e.sub(t),p=o.mul(s),h=rsqrt(n.add(ArrayOps.scalar(r))),f=h.mul(h).mul(h).mul(ArrayOps.scalar(-.5));return{x:function(){return 1===t.rank?o.mul(ArrayOps.tile(h.as4D(1,1,1,t.shape[0]),l)).mul(s).reshape(e.shape):o.mul(h).mul(s).reshape(e.shape)},mean:function(){var e=h.mul(ArrayOps.scalar(-1)).mul(p);return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)},variance:function(){var e=f.mul(d).mul(p);return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)},scale:function(){var e=d.mul(h),n=o.mul(e);return 1===t.rank&&(n=n.sum(u)),n.reshape(t.shape)},offset:function(){var e=o;return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)}}}).reshape(e.shape)},__decorate([operation],e,\"batchNormalization2d\",null),__decorate([operation],e,\"batchNormalization3d\",null),__decorate([operation],e,\"batchNormalization4d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"})],e,\"batchNormalization\",null),e}();function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}function computePool2DInfo(e,t,n,r,a,o){void 0===o&&(o=\"channelsLast\");var i,s=parseTupleParam(t),u=s[0],l=s[1];if(\"channelsLast\"===o)i=[u,l,e[3],e[3]];else{if(\"channelsFirst\"!==o)throw new Error(\"Unknown dataFormat \"+o);i=[u,l,e[1],e[1]]}return computeConv2DInfo(e,i,n,1,r,a,!1,o)}function computeConv2DInfo(e,t,n,r,a,o,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],d=u[2],p=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],d=e[2],p=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],p=e[1],c=e[2],d=e[3]}var h,f=t[0],g=t[1],m=t[3],v=parseTupleParam(n),y=v[0],x=v[1],b=parseTupleParam(r),E=b[0],S=b[1],A=getPadAndOutInfo(a,c,d,y,x,getEffectiveFilterSize(f,E),getEffectiveFilterSize(g,S),o),T=A.padInfo,w=A.outHeight,_=A.outWidth,R=i?m*p:m;return\"channelsFirst\"===s?h=[l,R,w,_]:\"channelsLast\"===s&&(h=[l,w,_,R]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:d,inChannels:p,outHeight:w,outWidth:_,outChannels:R,padInfo:T,strideHeight:y,strideWidth:x,filterHeight:f,filterWidth:g,dilationHeight:E,dilationWidth:S,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,n,r,a,o){null==a&&(a=computeDefaultPad(e,t,r));var i=e[0],s=e[1],u=conditionalRound((i-t+2*a)/r+1,o);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*a)/r+1,o);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,n]}function computeDefaultPad(e,t,n,r){void 0===r&&(r=1);var a=getEffectiveFilterSize(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,n,r,a,o,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var d=computeOutputShape3D([t,n,1],o,1,r,e,s);l=d[0],c=d[1]}else if(\"same\"===e){var p=((l=Math.ceil(t/r))-1)*r+o-t,h=((c=Math.ceil(n/a))-1)*a+i-n,f=Math.floor(p/2),g=p-f,m=Math.floor(h/2);u={top:f,bottom:g,left:m,right:h-m,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-o+1)/r),c=Math.ceil((n-i+1)/a)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}var ConvOps=function(){function e(){}return e.conv1d=function(t,n,r,a,o,i,s){void 0===o&&(o=\"NWC\"),void 0===i&&(i=1),assertArgumentsAreTensors({x:t,filter:n},\"conv1d\");var u=t,l=!1;2===t.rank&&(l=!0,u=t.as3D(1,t.shape[0],t.shape[1])),assert(3===u.rank,\"Error in conv1d: input must be rank 3, but got rank \"+u.rank+\".\"),assert(3===n.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+n.rank+\".\"),null!=s&&assert(isInt(a),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+a+\".\"),assert(u.shape[2]===n.shape[1],\"Error in conv1d: depth of input (\"+u.shape[2]+\") must match input depth for filter \"+n.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(r,i),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+r+\" and dilation '\"+i+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var c=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]),d=u.as4D(u.shape[0],1,u.shape[1],u.shape[2]),p=[1,r],h=[1,i],f=e.conv2d(d,c,p,a,\"NHWC\",h,s);return l?f.as2D(f.shape[2],f.shape[3]):f.as3D(f.shape[0],f.shape[2],f.shape[3])},e.conv2d=function(t,n,r,a,o,i,s){void 0===o&&(o=\"NHWC\"),void 0===i&&(i=[1,1]),assertArgumentsAreTensors({x:t,filter:n},\"conv2d\");var u=t,l=!1;3===t.rank&&(l=!0,u=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===u.rank,\"Error in conv2d: input must be rank 4, but got rank \"+u.rank+\".\"),assert(4===n.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+n.rank+\".\"),null!=s&&assert(isInt(a),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+a+\".\"),assert(u.shape[3]===n.shape[2],\"Error in conv2d: depth of input (\"+u.shape[3]+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(r,i),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+i+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var c=computeConv2DInfo(u.shape,n.shape,r,i,a,s),d=ENV.engine.runKernel(function(e){return e.conv2d(u,n,c)},{x:u,filter:n},function(t){return assert(tupleValuesAreOne(i),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+i+\"'\"),{x:function(){return e.conv2dDerInput(u.shape,t,n,r,a)},filter:function(){return e.conv2dDerFilter(u,t,n.shape,r,a)}}});return l?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d},e.conv2dDerInput=function(e,t,n,r,a,o){assertArgumentsAreTensors({dy:t,filter:n},\"conv2dDerInput\"),assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===n.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+n.rank),assert(l===n.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(c===n.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+n.shape[3]+\".\"),null!=o&&assert(isInt(a),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var d=computeConv2DInfo(i,n.shape,r,1,a,o),p=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,n,d)},{dy4D:s});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p},e.conv2dDerFilter=function(e,t,n,r,a,o){assertArgumentsAreTensors({x:e,dy:t},\"conv2dDerFilter\");var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===n.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+n+\".\"),assert(i.shape[3]===n[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+n[2]+\".\"),assert(s.shape[3]===n[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+n[3]+\").\"),null!=o&&assert(isInt(a),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computeConv2DInfo(i.shape,n,r,1,a,o);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})},e.conv2dTranspose=function(t,n,r,a,o,i){return assertArgumentsAreTensors({x:t,filter:n},\"conv2dTranspose\"),e.conv2dDerInput(r,t,n,a,o,i)},e.depthwiseConv2d=function(e,t,n,r,a,o,i){void 0===a&&(a=\"NHWC\"),void 0===o&&(o=[1,1]),assertArgumentsAreTensors({x:e,filter:t},\"depthwiseConv2d\");var s=e,u=!1;3===e.rank&&(u=!0,s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),assert(4===s.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+s.rank+\".\"),assert(4===t.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+t.rank+\".\"),assert(s.shape[3]===t.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+s.shape[3]+\") must match the inChannels dimension in filter \"+t.shape[2]+\".\"),null==o&&(o=[1,1]),assert(eitherStridesOrDilationsAreOne(n,o),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+o+\"'\"),null!=i&&assert(isInt(r),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\");var l=computeConv2DInfo(s.shape,t.shape,n,o,r,i,!0),c=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(s,t,l)},{x:s,filter:t},function(e){return assert(tupleValuesAreOne(o),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+o+\"'\"),{x:function(){return depthwiseConv2dDerInput(s.shape,e,t,l)},filter:function(){return depthwiseConv2dDerFilter(s,e,t.shape,l)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c},e.separableConv2d=function(t,n,r,a,o,i,s){void 0===i&&(i=[1,1]),void 0===s&&(s=\"NHWC\"),assertArgumentsAreTensors({x:t,depthwiseFilter:n,pointwiseFilter:r},\"separableConv2d\");var u=t,l=!1;if(3===t.rank&&(l=!0,u=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),\"NCHW\"===s)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===u.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+u.rank+\".\"),assert(4===n.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+n.rank+\".\"),assert(4===r.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+n.rank+\".\"),assert(1===r.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+r.shape[0]+\".\"),assert(1===r.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+r.shape[1]+\".\");var c=n.shape[2],d=n.shape[3];assert(r.shape[2]===c*d,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+c*d+\", but got \"+r.shape[2]+\".\");var p=e.depthwiseConv2d(u,n,a,o,s,i),h=e.conv2d(p,r,1,\"valid\",s);return l?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h},__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv1d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv2d\",null),__decorate([operation],e,\"conv2dDerInput\",null),__decorate([operation],e,\"conv2dDerFilter\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv2dTranspose\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"depthwiseConv2d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"separableConv2d\",null),e}();function parseTupleParam$1(e){return\"number\"==typeof e?[e,e]:e}function tupleValuesAreOne(e){var t=parseTupleParam$1(e),n=t[0],r=t[1];return 1===n&&1===r}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function depthwiseConv2dDerInput(e,t,n,r){var a=t,o=!1;3===t.rank&&(o=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return o?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t;return 3===o.rank&&(o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,o,r)},{x4D:a,dy4D:o})}var Reduction,ImageOps=function(){function e(){}return e.resizeBilinear=function(e,t,n){void 0===n&&(n=!1),assertArgumentsAreTensors({images:e},\"resizeBilinear\"),assert(3===e.rank||4===e.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+e.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var r=e,a=!1;3===e.rank&&(a=!0,r=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t[0],i=t[1],s=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(r,o,i,n)},{batchImages:r},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,r,n)},{})}}});return a?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},e.resizeNearestNeighbor=function(e,t,n){void 0===n&&(n=!1),assertArgumentsAreTensors({images:e},\"resizeNearestNeighbor\"),assert(3===e.rank||4===e.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+e.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===e.dtype||\"int32\"===e.dtype,\"`images` must have `int32` or `float32` as dtype\");var r=e,a=!1;3===e.rank&&(a=!0,r=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t[0],i=t[1],s=ENV.engine.runKernel(function(e){return e.resizeNearestNeighbor(r,o,i,n)},{batchImages:r});return a?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},__decorate([doc({heading:\"Operations\",subheading:\"Images\",namespace:\"image\"}),operation],e,\"resizeBilinear\",null),__decorate([doc({heading:\"Operations\",subheading:\"Images\",namespace:\"image\"}),operation],e,\"resizeNearestNeighbor\",null),e}(),Tracking=function(){function e(){}return e.tidy=function(e,t,n){void 0===n&&(n=!1);var r=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");r=e}ENV.engine.startScope(r,n);var a=t();return a instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(a,n),a},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"tidy\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"dispose\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"keep\",null),__decorate([doc({heading:\"Performance\",subheading:\"Timing\"})],e,\"time\",null),e}(),LinalgOps=function(){function e(){}return e.gramSchmidt=function(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var n=e[0].shape[0],r=1;r<e.length;++r)assert(e[r].shape[0]===n,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[r].shape[0]+\" vs. \"+n+\")\")}else t=!0,e=split(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var a=[],o=e,i=function(e){a.push(Tracking.tidy(function(){var t=o[e];if(e>0)for(var n=0;n<e;++n){var r=sum(a[n].mulStrict(t)).mul(a[n]);t=t.sub(r)}return t.div(norm(t,\"euclidean\"))}))};for(r=0;r<e.length;++r)i(r);return t?stack(a,0):a},__decorate([doc({heading:\"Operations\",subheading:\"Linear Algebra\"}),operation],e,\"gramSchmidt\",null),e}();!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var LossOps=function(){function e(){}return e.computeWeightedLoss=function(e,t,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({losses:e},\"computeWeightedLoss\"),null!=t&&assertArgumentsAreTensors({weights:t},\"computeWeightedLoss\");var r=null==t?e:e.mul(t);if(n===Reduction.NONE)return r;if(n===Reduction.SUM)return r.sum();if(n===Reduction.MEAN)return null==t?r.mean():r.sum().div(t.sum());if(n===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==t)return r.sum().div(scalar(e.size));var a=t.notEqual(scalar(0)).sum().toFloat();return r.sum().div(a)}throw Error(\"Unknown reduction: \"+n)},e.absoluteDifference=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"absoluteDifference\"),null!=r&&assertArgumentsAreTensors({weights:r},\"absoluteDifference\"),assertShapesMatch(t.shape,n.shape,\"Error in absoluteDifference: \");var o=t.sub(n).abs();return e.computeWeightedLoss(o,r,a)},e.meanSquaredError=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"meanSquaredError\"),null!=r&&assertArgumentsAreTensors({weights:r},\"meanSquaredError\"),assertShapesMatch(t.shape,n.shape,\"Error in meanSquaredError: \");var o=t.squaredDifference(n);return e.computeWeightedLoss(o,r,a)},e.cosineDistance=function(t,n,r,a,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"cosineDistance\"),null!=a&&assertArgumentsAreTensors({weights:a},\"cosineDistance\"),assertShapesMatch(t.shape,n.shape,\"Error in cosineDistance: \");var i=scalar(1).sub(t.mul(n).sum(r,!0));return e.computeWeightedLoss(i,a,o)},e.hingeLoss=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"hingeLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"hingeLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in hingeLoss: \");var o=scalar(1);t=scalar(2).mul(t).sub(o);var i=o.sub(t.mul(n)).relu();return e.computeWeightedLoss(i,r,a)},e.logLoss=function(t,n,r,a,o){void 0===a&&(a=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"logLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"logLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in logLoss: \");var i=scalar(1),s=scalar(a),u=t.mul(n.add(s).log()).neg().sub(i.sub(t).mul(i.sub(n).add(s).log()));return e.computeWeightedLoss(u,r,o)},e.huberLoss=function(t,n,r,a,o){void 0===a&&(a=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"huberLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"huberLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in huberLoss: \");var i=scalar(a),s=n.sub(t).abs(),u=minimum(s,i),l=s.sub(u),c=scalar(.5).mul(u.square()).add(i.mul(l));return e.computeWeightedLoss(c,r,o)},__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"computeWeightedLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"absoluteDifference\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"meanSquaredError\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"cosineDistance\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"hingeLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"logLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"huberLoss\",null),e}(),LRNOps=function(){function e(){}return e.localResponseNormalization=function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5),assertArgumentsAreTensors({x:e},\"localResponseNormalization\"),assert(4===e.rank||3===e.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+e.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var o=e,i=!1;3===e.rank&&(i=!0,o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=ENV.engine.runKernel(function(e){return e.localResponseNormalization4D(o,t,n,r,a)},{x4D:o});return i?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"localResponseNormalization\",null),e}(),LSTMOps=function(){function e(){}return e.multiRNNCell=function(e,t,n,r){assertArgumentsAreTensors({data:t,c:n,h:r},\"multiRNNCell\");for(var a=t,o=[],i=0;i<e.length;i++){var s=e[i](a,n[i],r[i]);o.push(s[0]),o.push(s[1]),a=s[1]}var u=[],l=[];for(i=0;i<o.length;i+=2)u.push(o[i]),l.push(o[i+1]);return[u,l]},e.basicLSTMCell=function(e,t,n,r,a,o){assertArgumentsAreTensors({forgetBias:e,lstmKernel:t,lstmBias:n,data:r,c:a,h:o},\"basicLSTMCell\");var i=r.concat(o,1).matMul(t).add(n),s=i.shape[0],u=i.shape[1]/4,l=[s,u],c=i.slice([0,0],l),d=i.slice([0,u],l),p=i.slice([0,2*u],l),h=i.slice([0,3*u],l),f=c.sigmoid().mulStrict(d.tanh()).addStrict(a.mulStrict(e.add(p).sigmoid()));return[f,f.tanh().mulStrict(h.sigmoid())]},__decorate([doc({heading:\"Operations\",subheading:\"RNN\"}),operation],e,\"multiRNNCell\",null),__decorate([doc({heading:\"Operations\",subheading:\"RNN\"}),operation],e,\"basicLSTMCell\",null),e}(),MatmulOps=function(){function e(){}return e.matMul=function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),assertArgumentsAreTensors({a:e,b:t},\"matMul\");var a=n?e.shape[0]:e.shape[1],o=r?t.shape[1]:t.shape[0];assert(2===e.rank&&2===t.rank,\"Error in matMul: inputs must be rank 2, got ranks \"+e.rank+\" and \"+t.rank+\".\"),assert(a===o,\"Error in matMul: inner shapes (\"+a+\") and (\"+o+\") of Tensors with shapes \"+e.shape+\" and \"+t.shape+\" and transposeA=\"+n+\" and transposeB=\"+r+\" must match.\");return ENV.engine.runKernel(function(a){return a.matMul(e,t,n,r)},{a:e,b:t},function(a){return n||r?!n&&r?{a:function(){return a.matMul(t.toFloat(),!1,!1)},b:function(){return a.matMul(e.toFloat(),!0,!1)}}:n&&!r?{a:function(){return t.toFloat().matMul(a,!1,!0)},b:function(){return e.toFloat().matMul(a,!1,!1)}}:{a:function(){return t.toFloat().matMul(a,!0,!0)},b:function(){return a.matMul(e.toFloat(),!0,!0)}}:{a:function(){return a.matMul(t.toFloat(),!1,!0)},b:function(){return e.toFloat().matMul(a,!0,!1)}}})},e.vectorTimesMatrix=function(e,t){return assert(1===e.rank,\"Error in vectorTimesMatrix: first input must be rank 1, but got rank \"+e.rank+\".\"),assert(2===t.rank,\"Error in vectorTimesMatrix: second input must be rank 2, but got rank \"+t.rank+\".\"),assert(e.size===t.shape[0],\"Error in vectorTimesMatrix: size of vector (\"+e.size+\") must match first dimension of matrix (\"+t.shape[0]+\")\"),e.as2D(1,-1).matMul(t).as1D()},e.matrixTimesVector=function(e,t){return assert(1===t.rank,\"Error in matrixTimesVector: second input must rank 1, but got rank \"+t.rank+\".\"),assert(2===e.rank,\"Error in matrixTimesVector: first input must be a rank 2, but got rank \"+e.rank+\".\"),assert(t.size===e.shape[1],\"Error in matrixTimesVector: size of first rank 1 input \"+t.size+\" must match inner dimension of second rank 2 input, but got shape \"+e.shape+\".\"),e.matMul(t.as2D(-1,1)).as1D()},e.dotProduct=function(e,t){return assert(1===e.rank&&1===t.rank,\"Error in dotProduct: inputs must be rank 1, but got ranks \"+e.rank+\" and \"+t.rank+\".\"),assert(e.size===t.size,\"Error in dotProduct: size of inputs (\"+e.size+\") and (\"+t.size+\") must match.\"),e.as2D(1,-1).matMul(t.as2D(-1,1)).asScalar()},e.outerProduct=function(e,t){return assert(1===e.rank&&1===t.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+e.rank+\" and \"+t.rank+\".\"),e.as2D(-1,1).matMul(t.as2D(1,-1))},e.dot=function(e,t){assert(!(1!==e.rank&&2!==e.rank||1!==t.rank&&2!==t.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+e.rank+\" and \"+t.rank+\".\");var n=1===e.rank?e.size:e.shape[1],r=1===t.rank?t.size:t.shape[0];return assert(n===r,\"Error in dot: inner dimensions of inputs must match, but got \"+n+\" and \"+r+\".\"),1===e.rank&&1===t.rank?e.as2D(1,-1).matMul(t.as2D(-1,1)).asScalar():1===e.rank&&2===t.rank?e.as2D(1,-1).matMul(t.as2D(t.shape[0],t.shape[1])).as1D():2===e.rank&&1===t.rank?e.matMul(t.as2D(-1,1)).as1D():e.matMul(t.as2D(t.shape[0],t.shape[1]))},__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"matMul\",null),__decorate([operation],e,\"vectorTimesMatrix\",null),__decorate([operation],e,\"matrixTimesVector\",null),__decorate([operation],e,\"dotProduct\",null),__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"outerProduct\",null),__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"dot\",null),e}(),MovingAverageOps=function(){function e(){}return e.movingAverage=function(e,t,n,r,a){void 0===a&&(a=!0),assertArgumentsAreTensors({v:e,x:t},\"movingAverage\"),assertTypesMatch(e,t),assert(arraysEqual(e.shape,t.shape),\"Shape mismatch in v and x\");var o=ArrayOps.scalar(1);n=\"number\"==typeof n?ArrayOps.scalar(n):n;var i=o.sub(n),s=t.sub(e).mul(i);return a&&(assert(null!=r,\"When using zeroDebias: true, step is required.\"),r=\"number\"==typeof r?ArrayOps.scalar(r):r,s=s.div(o.sub(BinaryOps.pow(n,r)))),e.add(s)},__decorate([doc({heading:\"Operations\",subheading:\"Moving Average\"}),operation],e,\"movingAverage\",null),e}(),NormOps=function(){function e(){}return e.norm=function(e,t,n,r){void 0===t&&(t=\"euclidean\"),void 0===n&&(n=null),void 0===r&&(r=!1),assertArgumentsAreTensors({x:e},\"norm\");var a=normImpl(e,t,n),o=a.shape;if(r){var i=parseAxisParam(n,e.shape);o=expandShapeToKeepDim(a.shape,i)}return a.reshape(o)},__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"norm\",null),e}();function normImpl(e,t,n){if(void 0===n&&(n=null),0===e.rank)return e.abs();if(1!==e.rank&&null===n)return normImpl(e.reshape([-1]),t,n);if(1===e.rank||\"number\"==typeof n||n instanceof Array&&1===n.length){if(1===t)return e.abs().sum(n);if(t===1/0)return e.abs().max(n);if(t===-1/0)return e.abs().min(n);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(n instanceof Array&&2===n.length){if(1===t)return e.abs().sum(n[0]).max(n[1]-1);if(t===1/0)return e.abs().sum(n[1]).max(n[0]);if(t===-1/0)return e.abs().sum(n[1]).min(n[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+n)}var PoolOps=function(){function e(){}return e.maxPool=function(t,n,r,a,o){assertArgumentsAreTensors({x:t},\"maxPool\");var i=t,s=!1;3===t.rank&&(s=!0,i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in maxPool: input must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(a),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computePool2DInfo(i.shape,n,r,a,o),l=ENV.engine.runKernel(function(e,t){return t(e.maxPool(i,u))},{x:i},function(t,o){var s=o[0];return{x:function(){return e.maxPoolBackprop(t,i,s,n,r,a)}}});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},e.maxPoolBackprop=function(e,t,n,r,a,o,i){assertArgumentsAreTensors({dy:e,input:t,output:n},\"maxPoolBackprop\"),assert(t.rank===e.rank,\"Rank of input (\"+t.rank+\") does not match rank of dy (\"+e.rank+\")\"),assert(4===e.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+e.rank+\".\"),assert(4===t.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+t.rank+\".\"),null!=i&&assert(isInt(o),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+o+\".\");var s=computePool2DInfo(t.shape,r,a,o,i);return ENV.engine.runKernel(function(r){return r.maxPoolBackprop(e,t,n,s)},{dy:e,input:t})},e.avgPool=function(t,n,r,a,o){assertArgumentsAreTensors({x:t},\"avgPool\"),assert(\"float32\"===t.dtype,\"The input dtype to avgPool must be float32\");var i=t,s=!1;3===t.rank&&(s=!0,i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in avgPool: x must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(a),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computePool2DInfo(i.shape,n,r,a),l=ENV.engine.runKernel(function(e){return e.avgPool(i,u)},{x:i},function(t){return{x:function(){return e.avgPoolBackprop(t,i,n,r,a)}}});return l=l.cast(t.dtype),s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},e.avgPoolBackprop=function(e,t,n,r,a){assertArgumentsAreTensors({dy:e,input:t},\"avgPoolBackprop\"),assert(t.rank===e.rank,\"Rank of input (\"+t.rank+\") does not match rank of dy (\"+e.rank+\")\");var o=t,i=e,s=!1;3===t.rank&&(s=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),assert(4===i.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+i.rank+\".\"),assert(4===o.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+o.rank+\".\");var u=computePool2DInfo(o.shape,n,r,a),l=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(i,o,u)},{dy4D:i,input4D:o});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"maxPool\",null),__decorate([operation],e,\"maxPoolBackprop\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"avgPool\",null),__decorate([operation],e,\"avgPoolBackprop\",null),e}(),ReductionOps=function(){function e(){}return e.logSumExp=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"logSumExp\");var r=parseAxisParam(t,e.shape),a=e.max(r,!0),o=e.sub(a).exp().sum(r).log(),i=a.reshape(o.shape).add(o);if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.sum=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"sum\"),\"bool\"===e.dtype&&(e=e.toInt());var r=parseAxisParam(t,e.shape);return customGrad(function(e){var t=getAxesPermutation(r,e.rank),a=r,o=e;null!=t&&(o=e.transpose(t),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(o,a)},{permutedX:o});if(n){var s=expandShapeToKeepDim(i.shape,r);i=i.reshape(s)}return{value:i,gradFunc:function(t){var n=e.shape.slice();return r.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones(e.shape,\"float32\"))}}})(e)},e.mean=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"mean\");var r=parseAxisParam(t,e.shape),a=sizeFromShape(computeOutAndReduceShapes(e.shape,r)[1]);return customGrad(function(e){var o=scalar(a);return{value:(o.dtype===e.dtype?e:e.cast(o.dtype)).div(o).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return r.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones(e.shape,\"float32\")).div(o)}}})(e)},e.min=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"min\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.min(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.max=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"max\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.max(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.argMin=function(e,t){void 0===t&&(t=0),assertArgumentsAreTensors({x:e},\"argMin\"),null==t&&(t=0);var n=parseAxisParam(t,e.shape),r=getAxesPermutation(n,e.rank);return null!=r&&(e=e.transpose(r),n=getInnerMostAxes(n.length,e.rank)),ENV.engine.runKernel(function(t){return t.argMin(e,n[0])},{x:e})},e.argMax=function(e,t){void 0===t&&(t=0),assertArgumentsAreTensors({x:e},\"argMax\"),null==t&&(t=0);var n=parseAxisParam(t,e.shape),r=getAxesPermutation(n,e.rank);return null!=r&&(e=e.transpose(r),n=getInnerMostAxes(n.length,e.rank)),ENV.engine.runKernel(function(t){return t.argMax(e,n[0])},{x:e})},e.all=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"all\"),assert(\"bool\"===e.dtype,\"Error Array must be of type bool.\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.all(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.moments=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"moments\");var r=parseAxisParam(t,e.shape),a=e.mean(r,n),o=a.shape;return n||(o=expandShapeToKeepDim(a.shape,r)),{mean:a,variance:e.toFloat().sub(a.reshape(o)).square().mean(r,n)}},__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"logSumExp\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"sum\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"mean\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"min\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"max\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"argMin\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"argMax\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"all\",null),__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"moments\",null),e}(),ReverseOps=function(){function e(){}return e.reverse1d=function(t){return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,0)},e.reverse2d=function(t,n){return assert(2===t.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse3d=function(t,n){return assert(3===t.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse4d=function(t,n){return assert(4===t.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse=function(e,t){if(assertArgumentsAreTensors({x:e},\"reverse\"),0===e.rank)return e.clone();var n=parseAxisParam(t,e.shape);return ENV.engine.runKernel(function(t){return t.reverse(e,n)},{x:e},function(e){return{x:function(){return e.reverse(n)}}}).reshapeAs(e)},__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"reverse\",null),e}(),SigmoidCrossEntropyOps=function(){function e(){}return e.sigmoidCrossEntropyWithLogits=function(e,t){assertArgumentsAreTensors({labels:e,logits:t},\"sigmoidCrossEntropyWithLogits\"),assertShapesMatch(e.shape,t.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var n=t.relu(),r=t.mul(e),a=t.abs().neg().exp().log1p();return n.sub(r).add(a)},__decorate([doc({heading:\"Operations\",subheading:\"Cross Entropy\"}),operation],e,\"sigmoidCrossEntropyWithLogits\",null),e}();function assertParamsValid(e,t,n){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===n.length,\"Error in slice\"+e.rank+\"D: Length of size \"+n+\" must match the rank of the array (\"+e.rank+\").\");for(var r=0;r<e.rank;++r)assert(t[r]+n[r]<=e.shape[r],\"Error in slice\"+e.rank+\"D: begin[\"+r+\"] + size[\"+r+\"] (\"+(t[r]+n[r])+\") would overflow input.shape[\"+r+\"] (\"+e.shape[r]+\")\")}function getStridedSlicedInfo(e,t,n,r,a,o){void 0===a&&(a=0),void 0===o&&(o=0);for(var i=[],s=[],u=0;u<e.length;u++)i[u]=startForAxis(a,t,r,e,u),s[u]=stopForAxis(o,n,r,e,u);var l=new Array(e.length).fill(0);return l=l.map(function(e,t){for(var n=0,a=i[t];!(r[t]>0?a>=s[t]:a<=s[t]);a+=r[t])n+=1;return n}),[i,l]}function startForAxis(e,t,n,r,a){var o=t[a];e&1<<a&&(o=n[a]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=r[a];return o<0&&(o+=i),o=clamp(0,o,i-1)}function stopForAxis(e,t,n,r,a){var o=t[a];e&1<<a&&(o=n[a]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=r[a];return o<0&&(o+=i),o=n[a]>0?clamp(0,o,i):clamp(-1,o,i-1)}var SliceOps=function(){function e(){}return e.slice1d=function(t,n,r){return assert(1===t.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,[n],[r])},e.slice2d=function(t,n,r){return assert(2===t.rank,\"slice1d expects a rank-2 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice3d=function(t,n,r){return assert(3===t.rank,\"slice1d expects a rank-3 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice4d=function(t,n,r){return assert(4===t.rank,\"slice1d expects a rank-4 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice=function(e,t,n){if(assertArgumentsAreTensors({x:e},\"slice\"),0===e.rank)throw new Error(\"Slicing scalar is not possible\");var r,a;r=\"number\"==typeof t?[t].concat(new Array(e.rank-1).fill(0)):t.length<e.rank?t.concat(new Array(e.rank-t.length).fill(0)):t,a=(a=null==n?new Array(e.rank).fill(-1):\"number\"==typeof n?[n].concat(new Array(e.rank-1).fill(-1)):n.length<e.rank?n.concat(new Array(e.rank-n.length).fill(-1)):n).map(function(t,n){return t>=0?t:(assert(-1===t,\"Bad value in size\"),e.shape[n]-r[n])}),assertParamsValid(e,r,a);var o=e.shape;return ENV.engine.runKernel(function(t){return t.slice(e,r,a)},{x:e},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],o[n]-r[n]-a[n]]);return{x:function(){return e.pad(t)}}})},__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"slice\",null),e}(),SoftmaxOps=function(){function e(){}return e.softmax=function(e,t){if(void 0===t&&(t=-1),assertArgumentsAreTensors({logits:e},\"softmax\"),-1===t&&(t=e.rank-1),t!==e.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+e.rank+\" and dim was \"+t);return customGrad(function(e){var n=e.logSumExp([t],!0),r=e.toFloat().sub(n).exp();return{value:r,gradFunc:function(e){var n=e.mul(r);return n.sub(n.sum([t],!0).mul(r))}}})(e)},e.softmaxCrossEntropy=function(e,t,n){if(void 0===n&&(n=-1),assertArgumentsAreTensors({labels:e,logits:t},\"softmaxCrossEntropy\"),assertShapesMatch(e.shape,t.shape,\"Error in softmaxCrossEntropy: \"),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+n);return customGrad(function(e,t){var r=t.softmax(n);return{value:scalar(1e-5).add(r).log().mul(e).neg().sum([n]),gradFunc:function(t){var a=expandShapeToKeepDim(t.shape,[n]);return[t.reshape(a).mul(e.toFloat().sub(r)),t.reshape(a).mul(r.sub(e.toFloat()))]}}})(e,t)},__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"softmax\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"softmaxCrossEntropy\",null),e}(),StridedSliceOps=function(){function e(){}return e.stridedSlice=function(e,t,n,r,a,o){return void 0===a&&(a=0),void 0===o&&(o=0),assertArgumentsAreTensors({x:e},\"stridedSlice\"),ENV.engine.runKernel(function(i){return i.stridedSlice(e,t,n,r,a,o)},{x:e})},__decorate([doc({heading:\"Operations\",subheading:\"Slicing and Joining\"}),operation],e,\"stridedSlice\",null),e}(),TransposeOps=function(){function e(){}return e.transpose=function(e,t){if(assertArgumentsAreTensors({x:e},\"transpose\"),null==t&&(t=e.shape.map(function(e,t){return t}).reverse()),assert(e.rank===t.length,\"Error in transpose: rank of input \"+e.rank+\" must match length of perm \"+t+\".\"),t.forEach(function(n){assert(n>=0&&n<e.rank,\"All entries in 'perm' must be between 0 and \"+(e.rank-1)+\" but got \"+t)}),e.rank<=1)return e.clone();return ENV.engine.runKernel(function(n){return n.transpose(e,t)},{x:e},function(e){var n=getUndoAxesPermutation(t);return{x:function(){return e.transpose(n)}}})},__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"transpose\",null),e}(),SELU_SCALEALPHA=1.7580993408473768,SELU_SCALE=1.0507009873554805,UnaryOps=function(){function e(){}return e.neg=function(e){assertArgumentsAreTensors({x:e},\"neg\");return ENV.engine.runKernel(function(t){return t.neg(e)},{x:e},function(e){return{x:function(){return e.neg()}}})},e.ceil=function(e){assertArgumentsAreTensors({x:e},\"ceil\");return ENV.engine.runKernel(function(t){return t.ceil(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.floor=function(e){assertArgumentsAreTensors({x:e},\"floor\");return ENV.engine.runKernel(function(t){return t.floor(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.sign=function(e){assertArgumentsAreTensors({x:e},\"sign\");return ENV.engine.runKernel(function(t){return t.sign(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.round=function(e){assertArgumentsAreTensors({x:e},\"round\");return ENV.engine.runKernel(function(t){return t.round(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.exp=function(e){assertArgumentsAreTensors({x:e},\"exp\");return ENV.engine.runKernel(function(t,n){return n(t.exp(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return 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r.where(e.greaterEqual(scalar(t)).logicalAnd(e.lessEqual(scalar(n))),zerosLike(r))}}})},e.relu=function(e){if(assertArgumentsAreTensors({x:e},\"relu\"),\"bool\"===e.dtype)return e.toInt();return ENV.engine.runKernel(function(t){return t.relu(e)},{x:e},function(t){var n=e.step();return{x:function(){return t.mulStrict(n.toFloat())}}})},e.elu=function(e){assertArgumentsAreTensors({x:e},\"elu\");return ENV.engine.runKernel(function(t,n){return n(t.elu(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,n)},{dy:e,y:n})}}})},e.selu=function(e){assertArgumentsAreTensors({x:e},\"selu\");return ENV.engine.runKernel(function(t){return t.selu(e)},{x:e},function(t){return{x:function(){var n=e.greater(scalar(0)),r=scalar(SELU_SCALEALPHA),a=scalar(SELU_SCALE),o=t.mul(a),i=t.mul(r).mul(e.toFloat().exp());return where(n,o,i)}}})},e.leakyRelu=function(e,t){return void 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0===a&&(a=1),this.throwIfDisposed(),conv1d(this,e,t,n,r,a,o)},e.prototype.conv2d=function(e,t,n,r,a,o){return void 0===r&&(r=\"NHWC\"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),conv2d(this,e,t,n,r,a,o)},e.prototype.conv2dTranspose=function(e,t,n,r,a){return this.throwIfDisposed(),conv2dTranspose(this,e,t,n,r,a)},e.prototype.depthwiseConv2D=function(e,t,n,r,a,o){return void 0===r&&(r=\"NHWC\"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),depthwiseConv2d(this,e,t,n,r,a,o)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),localResponseNormalization(this,e,t,n,r)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),unsortedSegmentSum(this,e,t)},e.nextId=0,__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"flatten\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"asScalar\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as1D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as2D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as3D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as4D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"asType\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"buffer\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"data\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"dataSync\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"dispose\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toFloat\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toInt\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toBool\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"print\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"reshape\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"reshapeAs\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"expandDims\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"cumsum\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"squeeze\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"clone\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toString\",null),e=t=__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e);var t}(),Variable=function(e){function t(t,r,a){void 0===r&&(r=!0);var o=e.call(this,t.shape,t.dtype,null,t.dataId)||this;return o.trainable=r,o.name=a,null==o.name&&(o.name=n.nextVarId.toString(),n.nextVarId++),ENV.engine.registerVariable(o),o}return __extends(t,e),n=t,t.variable=function(e,t,r,a){return void 0===t&&(t=!0),null!=a&&a!==e.dtype&&(e=e.asType(a)),new n(e,t,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must 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e(t)},[t],n),a=r.value,o=r.grads;return null!=n&&assertShapesMatch(a.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(o),o[0]})}},e.grads=function(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,n){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),tidy(function(){var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n),a=r.value,o=r.grads;return null!=n&&assertShapesMatch(a.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(o),o})}},e.valueAndGrad=function(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,n){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e(t)},[t],n),a=r.grads,o=r.value;return checkGrads(a),{grad:a[0],value:o}}},e.valueAndGrads=function(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,n){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n);return null!=n&&assertShapesMatch(r.value.shape,n.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(r.grads),r}},e.variableGrads=function(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a 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Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Tracking.tidy,keep=Tracking.keep,dispose=Tracking.dispose,time=Tracking.time,grad=Gradients.grad,valueAndGrad=Gradients.valueAndGrad,grads=Gradients.grads,valueAndGrads=Gradients.valueAndGrads,variableGrads=Gradients.variableGrads,customGrad=Gradients.customGrad,Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var n,r=this,a=this.backendTimer.time(function(){n=t()}),o=n.dataSync();return checkForNaN(o,n.dtype,e),a.then(function(t){r.logger.logKernelProfile(e,n,o,t.kernelMs)}),n},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r){var a=rightPad(r+\"ms\",9),o=rightPad(e,25),i=t.rank,s=t.size,u=rightPad(t.shape.toString(),14);console.log(\"%c\"+o+\"\\t%c\"+a+\"\\t%c\"+i+\"D \"+u+\"\\t%c\"+s,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\")},e}();function getFilteredNodesXToY(e,t,n){for(var r={},a={},o=0;o<t.length;o++)r[t[o].id]=!0;for(o=0;o<e.length;o++){var i=(g=e[o]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(r[u.id]){r[g.output.id]=!0,l=!0,a[g.id]=!0;break}if(l)break}}var d={};d[n.id]=!0;var p={};for(o=e.length-1;o>=0;o--){i=(g=e[o]).inputs;var h=[];h.push(g.output);for(c=0;c<h.length;c++)if(d[h[c].id]){for(var s in i)d[i[s].id]=!0,p[g.id]=!0;break}}var f=[];for(o=0;o<e.length;o++){var g;if(a[(g=e[o]).id]&&p[g.id]){var m={};for(var s in g.inputs){var v=g.inputs[s];r[v.id]&&(m[s]=v)}var y=Object.assign({},g);y.inputs=m,y.output=g.output,f.push(y)}}return f}function backpropagateGradients(e,t){for(var n=t.length-1;n>=0;n--){var r=t[n],a=e[r.output.id];if(null==r.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+r.name+\".\");var o=r.gradient(a);for(var i in r.inputs){if(!(i in o))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(o)+\".\");var s=o[i](),u=r.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+r.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}}}var Type,Engine=function(){function e(e,t){this.backend=e,this.safeMode=t,this.registeredVariables={},this.refCounter=new WeakMap,this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.activeScope={track:[]},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e)}return e.prototype.runKernel=function(e,t,n){var r,a=this,o=[],i=function(e){return o.push(e),e},s=this.activeScope.name;if(this.customGradientDepth++,r=ENV.get(\"DEBUG\")?this.profiler.profileKernel(s,function(){return e(a.backend,i)}):e(this.backend,i),this.customGradientDepth--,this.shouldRecord()){var u={id:this.nextTapeNodeId++,name:s,inputs:t,output:r};null!=n&&(u.gradient=function(e){return n(e,o)}),this.activeTape.push(u)}return r},e.prototype.registerTensor=function(e){var t=this.refCounter.has(e.dataId)?this.refCounter.get(e.dataId):0;this.numTensors++,0===t&&(this.numDataBuffers++,this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype),this.backend.register(e.dataId,e.shape,e.dtype)),this.refCounter.set(e.dataId,t+1),e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){if(this.refCounter.has(e.dataId)){this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--;var t=this.refCounter.get(e.dataId);t<=1?(this.refCounter.delete(e.dataId),this.backend.disposeData(e.dataId),this.numDataBuffers--,this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype)):this.refCounter.set(e.dataId,t-1)}},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var a={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,output:t,gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(a)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&ENV.engine.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={track:[]};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),a=getTensorsInContainer(e);a.forEach(function(e){return r.add(e.id)});for(var o=0;o<this.activeScope.track.length;o++){var i=this.activeScope.track[o];r.has(i.id)||(null!=this.activeTape?a.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[]}:this.scopeStack[this.scopeStack.length-1],a.forEach(function(e){!n.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&n.track(e)})},e.prototype.gradients=function(e,t,n,r){var a=this;return void 0===r&&(r=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),tidy(\"gradients\",function(){var o=e();assert(o instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(a.activeTape,t,o);if(!r&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[o.id]=null==n?ones(o.shape):n,backpropagateGradients(s,i),{value:o,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var n,r=[],a=0;a<arguments.length;a++)r[a]=arguments[a];assert(r.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.customGradientDepth++;var o=tidy(e.name,function(){var t=e.apply(void 0,r),a=t.value,o=t.gradFunc;return assert(a instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(o),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n=o,a},!0);if(t.customGradientDepth--,t.shouldRecord()){t.addTapeNode(r,o,function(e){var t=n(e),a=Array.isArray(t)?t:[t];return assert(a.length===r.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(a.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),a})}return o}},e.prototype.write=function(e,t){this.backend.write(e,t)},e.prototype.readSync=function(e){return this.backend.readSync(e)},e.prototype.read=function(e){return this.backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:return t=performance.now(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=performance.now()-t,[2,n]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e}();!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\",type:Type.BOOLEAN},{name:\"BACKEND\",type:Type.STRING}],TEST_EPSILON_FLOAT32_ENABLED=.001,TEST_EPSILON_FLOAT32_DISABLED=.1;function hasExtension(e,t){return null!=e.getExtension(t)}function getWebGLRenderingContext(e){if(0===e||!ENV.get(\"IS_BROWSER\"))throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");var t=document.createElement(\"canvas\");return 1===e?t.getContext(\"webgl\")||t.getContext(\"experimental-webgl\"):t.getContext(\"webgl2\")}function loseContext(e){if(null!=e){var t=e.getExtension(\"WEBGL_lose_context\");if(null==t)throw new Error(\"Extension WEBGL_lose_context not supported on this browser.\");t.loseContext()}}function isWebGLVersionEnabled(e){var t;try{t=getWebGLRenderingContext(e)}catch(e){return!1}return null!=t&&(loseContext(t),!0)}function getWebGLDisjointQueryTimerVersion(e){if(0===e)return 0;var t,n=getWebGLRenderingContext(e);return t=hasExtension(n,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(n,\"EXT_disjoint_timer_query\")?1:0,null!=n&&loseContext(n),t}function createFloatTextureAndBindToFramebuffer(e,t){var n=e.createFramebuffer(),r=e.createTexture();e.bindTexture(e.TEXTURE_2D,r);var a=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,a,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,r,0)}function isRenderToFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLRenderingContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;createFloatTextureAndBindToFramebuffer(t,e);var n=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return loseContext(t),n}function isDownloadFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLRenderingContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;createFloatTextureAndBindToFramebuffer(t,e),t.readPixels(0,0,1,1,t.RGBA,t.FLOAT,new Float32Array(4));var n=t.getError()===t.NO_ERROR;return loseContext(t),n}function isWebGLGetBufferSubDataAsyncExtensionEnabled(e){if(e>0)return!1;if(2!==e)return!1;var t=getWebGLRenderingContext(e),n=hasExtension(t,\"WEBGL_get_buffer_sub_data_async\");return loseContext(t),n}function isChrome(){return null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var Environment=function(){function e(e){this.features={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend type '\"+e+\"' not found in registry\");ENV.initBackend(e,t)},e.getBackend=function(){return ENV.initDefaultBackend(),ENV.currentBackend},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendType=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"BACKEND\"===e)return this.getBestBackendType();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:getWebGLDisjointQueryTimerVersion(t)}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2)?2:isWebGLVersionEnabled(1)?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\"===e)return isWebGLGetBufferSubDataAsyncExtensionEnabled(this.get(\"WEBGL_VERSION\"));if(\"TEST_EPSILON\"===e)return this.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?TEST_EPSILON_FLOAT32_ENABLED:TEST_EPSILON_FLOAT32_DISABLED;throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=e},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},e.prototype.initBackend=function(e,t){void 0===t&&(t=!1),this.currentBackend=e;var n=ENV.findBackend(e);this.globalEngine=new Engine(n,t)},e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,n){void 0===n&&(n=1),e in this.registry&&console.warn(e+\" backend was already registered\");try{var r=t();return this.registry[e]={backend:r,priority:n},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initDefaultBackend(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initDefaultBackend=function(){null==this.globalEngine&&this.initBackend(ENV.get(\"BACKEND\"),!1)},__decorate([doc({heading:\"Environment\"})],e,\"setBackend\",null),__decorate([doc({heading:\"Environment\"})],e,\"getBackend\",null),__decorate([doc({heading:\"Environment\"})],e,\"disposeVariables\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"memory\",null),e}(),TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var n={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),r=t[0],a=t[1];n[r]=a}),URL_PROPERTIES.forEach(function(t){t.name in n&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+n[t.name]),t.type===Type.NUMBER?e[t.name]=+n[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===n[t.name]:t.type===Type.STRING?e[t.name]=n[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof global)throw new Error(\"Could not find a global object\");e=global}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return e.ENV=e.ENV||new Environment(getFeaturesFromURL()),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({get Type(){return Type},URL_PROPERTIES:URL_PROPERTIES,Environment:Environment,ENV:ENV}),PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function segOpComputeOptimalWindowSize(e,t){var n,r=!1;for(e<=PARALLELIZE_THRESHOLD?(n=e,r=!0):n=nearestDivisor(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=nearestDivisor(e,n+1)}return n}function computeOutShape$1(e,t,n){for(var r=[],a=e.length,o=0;o<a;o++)o!==t?r.push(e[o]):r.push(n);return r}function castTensor(e,t,n){if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"int32\"===t)return n.int(e);if(\"bool\"===t)return n.notEqual(e,ArrayOps.scalar(0,e.dtype));throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}var ArgMinMaxProgram=function(){return function(e,t,n){this.variableNames=[\"A\"];var r=e.windowSize,a=e.batchSize,o=e.inSize,i=Math.ceil(o/r);n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[a,i];var s=\"max\"===t?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        int bestIndex = 0;\\n        float bestValue = getA(batch, inOffset);\\n\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=1/(t*n);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n      const float avgMultiplier = float(\"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),BatchNormProgram=function(){return function(e,t,n,r,a,o){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,n);var i=\"0.0\";null!=r&&(assertAndGetBroadcastShape(e,r),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=a&&(assertAndGetBroadcastShape(e,a),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+o+\"));\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\n  return (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}}(),ClipProgram=function(){return function(e,t,n){this.variableNames=[\"A\"],this.outputShape=e;var r=t.toFixed(20),a=n.toFixed(20);this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, \"+r+\", \"+a+\"));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape(e,t,1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+a+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+o+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+a+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,o=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+r+\", \"+a+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+n+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+o+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,o=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,d=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+r+\", \"+a+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+d+\";\\n        int q = d2 - d1 * \"+d+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+n+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function makeShader(e,t,n,r){var a=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});a=a.join(\"\\n\");var o=e.map(function(e){return getInputSamplingSnippet(e,t,r)}).join(\"\\n\"),i=t.texShape,s=getOutputSamplingSnippet(t.logicalShape,i);return[SHADER_PREFIX,FLOAT_TEXTURE_SAMPLE_SNIPPET,FLOAT_TEXTURE_SETOUTPUT_SNIPPET,a,s,o,n].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,n){var r=getSamplerFlat(e);return r+=getSamplerFromInInfo(e),(n||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=getSamplerAtOutputCoords(e,t,n)),r}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SETOUTPUT_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput3DCoords(e,t){var n=e[1]*e[2],r=e[2];return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+n+\";\\n      index -= r * \"+n+\";\\n      int c = index / \"+r+\";\\n      int d = index - c * \"+r+\";\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutput4DCoords(e,t){var n=e[3],r=e[2]*n,a=e[1]*r;return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+a+\";\\n      index -= r * \"+a+\";\\n\\n      int c = index / \"+r+\";\\n      index -= c * \"+r+\";\\n\\n      int d = index / \"+n+\";\\n      int d2 = index - d * \"+n+\";\\n\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var n=e[4],r=e[3]*n,a=e[2]*r,o=e[1]*a;return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+o+\";\\n      index -= r * \"+o+\";\\n\\n      int c = index / \"+a+\";\\n      index -= c * \"+a+\";\\n\\n      int d = index / \"+r+\";\\n      index -= d * \"+r+\";\\n\\n      int d2 = index  / \"+n+\";\\n      int d3 = index - d2 * \"+n+\";\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var n=e[5],r=e[4]*n,a=e[3]*r,o=e[2]*a,i=e[1]*o;return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+i+\";\\n      index -= r * \"+i+\";\\n\\n      int c = index / \"+o+\";\\n      index -= c * \"+o+\";\\n\\n      int d = index / \"+a+\";\\n      index -= d * \"+a+\";\\n\\n      int d2 = index / \"+r+\";\\n      index -= d2 * \"+r+\";\\n\\n      int d3 = index / \"+n+\";\\n      int d4 = index - d3 * \"+n+\";\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+n+\"() {return \"+t+\";}\":\"\\n    float \"+n+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+n+\"(int index) {\\n      return \"+n+\"Flat(index);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(null!=a&&arraysEqual(t,a)){var o=a[0];return\"\\n    float \"+r+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+a[1]+\".0, \"+o+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col) {\\n        int index = row * \"+t[1]+\" + col;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=a[0],d=a[1];return 1===d?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2((float(index) + 0.5) / \"+d+\".0, 0.5);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n  float \"+r+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+d+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+n+\", uv);\\n  }\\n\"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],o=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        int index = row * \"+a+\" + col * \"+o+\" + depth;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,d=c[0],p=c[1];return p===a?\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          int texR = row;\\n          int texC = col * \"+o+\" + depth;\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+p+\".0, \"+d+\".0);\\n          return sampleTexture(\"+n+\", uv);\\n        }\\n      \":p===o?\"\\n    float \"+r+\"(int row, int col, int depth) {\\n      int texR = row * \"+t[1]+\" + col;\\n      int texC = depth;\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+p+\".0, \"+d+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+d+\", \"+p+\", \"+a+\", \"+o+\", row, col, depth);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],o=t[2]*a,i=t[1]*o,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int index = row * \"+i+\" + col * \"+o+\" +\\n            depth * \"+a+\" + depth2;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,d=c[0],p=c[1];return p===i?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row;\\n        int texC = col * \"+o+\" + depth * \"+a+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+p+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":p===a?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+p+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+d+\", \"+p+\", \"+i+\", \"+o+\",\\n          \"+a+\", row, col, depth, depth2);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],o=t[3]*a,i=t[2]*o,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int index = row * \"+s+\" + col * \"+i+\" +\\n            depth * \"+o+\" + depth2 * \"+a+\" + depth3;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,p=d[0],h=d[1];return h===s?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        int texC = col * \"+i+\" + depth * \"+o+\" +\\n                   depth2 * \"+a+\" + depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":h===a?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" +\\n                   depth * \"+t[3]+\" + depth2;\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+p+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+o+\", \"+a+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[5],o=t[4]*a,i=t[3]*o,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,d=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],d)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        int index = row * \"+u+\" + col * \"+s+\" +\\n            depth * \"+i+\" + depth2 * \"+o+\" + depth3 * \"+o+\"\\n            + depth4\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,h=p[0],f=p[1];return f===u?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        int texC = col * \"+s+\" + depth * \"+i+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":f===a?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+o+\", \"+a+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",r=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?\"float \"+n+\"(int index) {return \"+t+\";}\":\"\\n      float \"+n+\"(int index) {\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var a=e.shapeInfo.texShape,o=a[0],i=a[1];return 1===i&&1===o?\"\\n      float \"+n+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+o+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===o?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+o+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,n,r){var a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=\"int\";2===o?i=\"ivec2\":3===o?i=\"ivec3\":4===o&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=o-a;return\"\\n    float \"+r+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===a?\"\":o<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+n+\"(\"+(o<2&&a>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),o=\"get\"+a+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),d=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,a,o);var p=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+p+\";\\n        index -= mainPart * \"+p+\";\\n      \");var f=t.texShape;if(d)return 1===p?\"float \"+o+\"() {return \"+r+\";}\":\"\\n      float \"+o+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+a+\"Flat(index);\\n      }\\n    \";var g=e.shapeInfo.texShape;return arraysEqual(g,f)?\"\\n      float \"+o+\"() {\\n        return sampleTexture(\"+r+\", resultUV);\\n      }\\n    \":\"\\n    float \"+o+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+g[1]+\";\\n      int texC = index - texR * \"+g[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+g[1]+\".0, \"+g[0]+\".0);\\n\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=e;var r=e.length,a=e[e.length-1],o=n?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(n?\"return \"+a+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(r)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(r,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+a+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+o+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(r,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(r,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var TextureUsage,PhysicalTextureType,EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],n=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+n+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"indices\"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=getCoordsDataType(this.rank),o=getSourceCoords(e,n);this.userCode=\"\\n      void main() {\\n        \"+a+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+o+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var n=e.length;if(n>4)throw Error(\"Gather for rank \"+n+\" is not yet supported\");if(1===n)return\"int(getIndices(resRC))\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],a=[],o=0;o<e.length;o++)o===t?a.push(\"int(getIndices(\"+r[o]+\"))\"):a.push(\"\"+r[o]);return a.join()}function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,n){var r=getUnpackedArraySizeFromMatrixSize(e.length,n);if(t.length<r)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+r);for(var a=0,o=0;o<e.length;++o)t[a]=e[o],a+=n}function decodeMatrixFromUnpackedArray(e,t,n){var r=getMatrixSizeFromUnpackedArraySize(e.length,n);if(t.length<r)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+r);for(var a=0,o=0;o<e.length;o+=n)t[a++]=e[o]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var n=getPackedMatrixTextureShapeWidthHeight(e,t);return n[0]*n[1]*4}function encodeMatrixToPackedRGBA(e,t,n,r){var a=getPackedRGBAArraySizeFromMatrixShape(t,n);if(r.length<a)throw new Error(\"packedRGBA length (\"+r.length+\") must be >= \"+a);for(var o=getPackedMatrixTextureShapeWidthHeight(t,n),i=o[0],s=o[1],u=n%2==1,l=t%2==1,c=Math.floor(n/2),d=Math.floor(t/2),p=u?4:0,h=n,f=0,g=0;g<d;++g){for(var m=2*g*n,v=0;v<c;++v){var y=m+2*v;r[f]=e[y],r[f+1]=e[y+1],r[f+2]=e[y+h],r[f+3]=e[y+h+1],f+=4}f+=p}if(u){y=n-1,f=4*(i-1);var x=2*n;for(p=4*i,g=0;g<d;++g)r[f]=e[y],r[f+2]=e[y+n],y+=x,f+=p}if(l)for(y=(t-1)*n,f=(s-1)*i*4,v=0;v<c;++v)r[f++]=e[y++],r[f++]=e[y++],f+=2;return u&&l&&(r[r.length-4]=e[e.length-1]),r}function decodeMatrixFromPackedRGBA(e,t,n,r){var a=t*n;if(a<r.length)throw new Error(\"matrix length (\"+r.length+\") must be >= \"+a);for(var o=n%2==1,i=t%2==1,s=Math.floor(n/2),u=Math.floor(t/2),l=getPackedMatrixTextureShapeWidthHeight(t,n),c=l[0],d=l[1],p=o?4:0,h=n+(o?1:0),f=0,g=0,m=n,v=0;v<u;++v){for(var y=0;y<s;++y)r[g++]=e[f++],r[g++]=e[f++],r[m++]=e[f++],r[m++]=e[f++];f+=p,g+=h,m+=h}if(o){f=4*(c-1);var x=n-1;for(p=4*c,h=2*n,v=0;v<u;++v)r[x]=e[f],r[x+n]=e[f+2],f+=p,x+=h}if(i)for(f=(d-1)*c*4,x=(t-1)*n,y=0;y<s;++y)r[x++]=e[f++],r[x++]=e[f++],f+=2;return o&&i&&(r[r.length-1]=e[e.length-4]),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\"}(TextureUsage||(TextureUsage={})),function(e){e[e.FLOAT16=0]=\"FLOAT16\",e[e.FLOAT32=1]=\"FLOAT32\",e[e.UNSIGNED_BYTE=2]=\"UNSIGNED_BYTE\"}(PhysicalTextureType||(PhysicalTextureType={}));var MAX_TEXTURE_SIZE=null;function createWebGLRenderingContext(e){var t=document.createElement(\"canvas\");return t.width=1,t.height=1,createWebGLRenderingContextFromCanvas(t,e)}function createWebGLRenderingContextFromCanvas(e,t){var n,r=ENV.get(\"WEBGL_VERSION\");if(2===r?n=e.getContext(\"webgl2\",t):1===r&&(n=e.getContext(\"webgl\",t)||e.getContext(\"experimental-webgl\",t)),0===r||null==n)throw new Error(\"This browser does not support WebGL.\");return n}function callAndCheck(e,t){var n=t();return checkWebGLError(e),n}var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error(\"Failed to compile vertex shader.\");return n}function createFragmentShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(n)),new Error(\"Failed to compile fragment shader.\");return n}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var n=lineNumberRegex.exec(t);if(null==n)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var r=+n[1],a=e.split(\"\\n\"),o=a.length.toString().length+2,i=a.map(function(e,t){return rightPad((t+1).toString(),o)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,r-1),c=i.slice(r-1,r),d=i.slice(r);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(d.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function createStaticIndexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function queryMaxTextureSize(e){return null!=MAX_TEXTURE_SIZE?MAX_TEXTURE_SIZE:MAX_TEXTURE_SIZE=callAndCheck(e,function(){return e.getParameter(e.MAX_TEXTURE_SIZE)})}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t,n){var r=queryMaxTextureSize(e);if(t<=0||n<=0){var a=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+a+\" is invalid.\")}if(t>r||n>r){a=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+a+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,n,r,a,o,i){var s=e.getAttribLocation(t,n);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,a,e.FLOAT,!1,o,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,n){validateTextureUnit(e,n),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,n){return throwIfNull(e,function(){return e.getUniformLocation(t,n)},'uniform \"'+n+'\" not present in program.')}function getProgramUniformLocation(e,t,n){return e.getUniformLocation(t,n)}function bindTextureToProgramUniformSampler(e,t,n,r,a){callAndCheck(e,function(){return bindTextureUnit(e,n,a)}),callAndCheck(e,function(){return e.uniform1i(r,a)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,n){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,n)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,n){var r=callAndCheck(e,function(){return t()});if(null==r)throw new Error(n);return r}function validateTextureUnit(e,t){var n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+n+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){2!==t.length&&(t=squeezeShape(t).newShape);var n=queryMaxTextureSize(e),r=sizeFromShape(t);return t.length<=1&&r<=n?[r,1]:2===t.length&&t[0]<=n&&t[1]<=n?t:3===t.length&&t[0]<=n&&t[1]*t[2]<=n?[t[0],t[1]*t[2]]:4===t.length&&t[0]<=n&&t[1]*t[2]*t[3]<=n?[t[0],t[1]*t[2]*t[3]]:sizeToSquarishShape(r)}var webgl_util=Object.freeze({createWebGLRenderingContext:createWebGLRenderingContext,createWebGLRenderingContextFromCanvas:createWebGLRenderingContextFromCanvas,callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,queryMaxTextureSize:queryMaxTextureSize,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape});function getWebGLContextAttributes(){return{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0}}function createWebGLContext(e){var t,n=getWebGLContextAttributes();return callAndCheck(t=null!=e?createWebGLRenderingContextFromCanvas(e,n):createWebGLRenderingContext(n),function(){return t.disable(t.DEPTH_TEST)}),callAndCheck(t,function(){return t.disable(t.STENCIL_TEST)}),callAndCheck(t,function(){return t.disable(t.BLEND)}),callAndCheck(t,function(){return t.disable(t.DITHER)}),callAndCheck(t,function(){return t.disable(t.POLYGON_OFFSET_FILL)}),callAndCheck(t,function(){return t.disable(t.SAMPLE_COVERAGE)}),callAndCheck(t,function(){return t.enable(t.SCISSOR_TEST)}),callAndCheck(t,function(){return t.enable(t.CULL_FACE)}),callAndCheck(t,function(){return t.cullFace(t.BACK)}),t}function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var n,r,a,o,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(n=l.R32F,r=l.R16F,a=l.RGBA32F,o=l.RED,i=4,s=1,u=l.HALF_FLOAT):(n=e.RGBA,r=e.RGBA,a=l.RGBA,o=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedFloat:a,textureFormatFloat:o,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,n,r,a,o){validateTextureSize(e,t,n);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,r,t,n,0,a,o,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatFloat,r.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,n,r){var a=getPackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function bindVertexProgramAttributeStreams(e,t,n){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",n,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",n,2,20,12)}function uploadPixelDataToTexture(e,t,n){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,n,r,a,o){validateTextureSize(e,n,r),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,o,e.FLOAT,a)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,n,r,a,o,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(n,r),l=u[0],c=u[1];1===i.defaultNumChannels?s=a:encodeMatrixToUnpackedArray(a,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(a.length,o)),o),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,n,r,a,o){var i=getPackedMatrixTextureShapeWidthHeight(n,r),s=i[0],u=i[1],l=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,r));encodeMatrixToPackedRGBA(a,n,r,l),uploadDataToTexture(e,t,s,u,l,e.RGBA)}function downloadMatrixFromOutputTextureAsync(e,t,n,r,a){return __awaiter(this,void 0,void 0,function(){var o,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:return o=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(n*r,a.downloadUnpackNumChannels)),s=i instanceof Float32Array?4*i.length:i,u=e.createBuffer(),callAndCheck(e,function(){return e.bindBuffer(o.PIXEL_PACK_BUFFER,u)}),callAndCheck(e,function(){return e.bufferData(o.PIXEL_PACK_BUFFER,s,e.STATIC_DRAW)}),callAndCheck(e,function(){return o.readPixels(0,0,r,n,e.RGBA,e.FLOAT,0)}),[4,t.getBufferSubDataAsync(o.PIXEL_PACK_BUFFER,0,i)];case 1:return c.sent(),l=new Float32Array(n*r),decodeMatrixFromUnpackedArray(i,l,a.downloadUnpackNumChannels),[2,l]}})})}function downloadFloat32MatrixFromOutputTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*n,r.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,o,i,r.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromUnpackedArray(s,u,r.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*n,4));return callAndCheck(e,function(){return e.readPixels(0,0,o,i,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,n,r){var a=getPackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t,n));callAndCheck(e,function(){return e.readPixels(0,0,o,i,e.RGBA,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromPackedRGBA(s,t,n,u)}var gpgpu_util=Object.freeze({getWebGLContextAttributes:getWebGLContextAttributes,createWebGLContext:createWebGLContext,createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,downloadMatrixFromOutputTextureAsync:downloadMatrixFromOutputTextureAsync,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:createWebGLContext(),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.loseContextExtension=getExtensionOrThrow(this.gl,\"WEBGL_lose_context\"),ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\")&&(this.getBufferSubDataAsyncExtension=this.gl.getExtension(\"WEBGL_get_buffer_sub_data_async\")),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.vertexBuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.loseContextExtension.loseContext(),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var a=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,n,r,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadMatrixFromTextureAsync=function(e,t,n){return __awaiter(this,void 0,void 0,function(){var r=this;return __generator(this,function(a){if(null==this.getBufferSubDataAsyncExtension)throw new Error(\"Cannot download matrix from output texture asynchronously, WEBGL_get_buffer_sub_data_async is not enabled.\");return[2,this.downloadMatrixDriverAsync(e,function(){return downloadMatrixFromOutputTextureAsync(r.gl,r.getBufferSubDataAsyncExtension,t,n,r.textureConfig)})]})})},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=createFragmentShader(t,e),r=createVertexShader$1(t),a=createProgram(t);return callAndCheck(t,function(){return t.attachShader(a,r)}),callAndCheck(t,function(){return t.attachShader(a,n)}),linkProgram(t,a),this.autoDebugValidate&&validateProgram(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),a},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=getPackedMatrixTextureShapeWidthHeight(t,n),a=r[0],o=r[1];this.setOutputMatrixTextureDriver(e,a,o)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.runQuery=function(e){var t=this.beginQuery();return e(),this.endQuery(),this.pollQueryTime(t)},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},e.prototype.pollQueryTime=function(e){var t=this;return new Promise(function(n){var r=ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\");t.addItemToPoll(function(){return t.isQueryAvailable(e,r)},function(){return n(t.getQueryTime(e,r))})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.downloadMatrixDriverSetup=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.downloadMatrixDriverTeardown=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.downloadMatrixDriverSetup(e);var n=t();return this.downloadMatrixDriverTeardown(),n},e.prototype.downloadMatrixDriverAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){switch(r.label){case 0:return this.downloadMatrixDriverSetup(e),[4,t()];case 1:return n=r.sent(),this.downloadMatrixDriverTeardown(),[2,n]}})})},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;bindColorTextureToFramebuffer(r,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(r),this.outputTexture=e,callAndCheck(r,function(){return r.viewport(0,0,t,n)}),callAndCheck(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}function compileProgram(e,t,n,r){for(var a=t.userCode,o=n.map(function(e,n){var r={logicalShape:e.tensor.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform};return{name:t.variableNames[n],shapeInfo:r}}),i=o.map(function(e){return e.shapeInfo}),s={logicalShape:r.tensor.shape,texShape:r.texData.texShape,isUniform:!1},u=makeShader(o,s,a,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},d=0;d<t.variableNames.length;d++){var p=t.variableNames[d];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,n){var r=e.logicalShape,a=t[n],o=a.tensor.shape;if(!arraysEqual(r,o))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+r+\" and \"+o+\" must match\");if(!e.isUniform||!a.isUniform){var i=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,n,r){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[n]);var a=n.texData.texture,o=n.texData.texShape,i=e.gpgpu;i.setOutputMatrixTexture(a,o[0],o[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===t.tensor.size)i.gl.uniform1f(a,t.tensor.dataSync()[0]);else{var o=t.tensor.dataSync();o instanceof Float32Array||(o=new Float32Array(o)),i.gl.uniform1fv(a,o)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,a,n)}}),null!=r&&r(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,n){var r=\"\";t.concat(n).forEach(function(e){r+=e.tensor.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var a=e.userCode,o=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+o+\"_\"+r+\"_\"+a}var WhereProgram=function(){return function(e,t,n){var r,a;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,n>4)throw Error(\"Where for rank \"+n+\" is not yet supported\");if(1===n)a=\"resRC\",r=\"resRC\";else{for(var o=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+o[u]),u<e&&i.push(\"\"+o[u]);r=i.join(),a=s.join()}var l=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+r+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+a+\"));\\n        } else {\\n          setOutput(getB(\"+a+\"));\\n        }\\n      }\\n    \"}}(),LRNProgram=function(){return function(e,t,n,r,a){this.variableNames=[\"x\"],this.outputShape=[];var o,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+n+\") + float(\"+r+\") * sum\";o=.5===a?\"inversesqrt(\"+u+\")\":1===a?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+a+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+o+\";\\n        setOutput(val);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=t*n-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+s+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+n+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var a=n?e[1]:e[0],o=r?t[0]:t[1],i=n?e[0]:e[1];this.outputShape=[a,o];var s=function(e,t){return n?t+\" + \"+e+\", aRow\":\"aRow, \"+t+\" + \"+e},u=function(e,t){return r?\"bCol, \"+t+\" + \"+e:t+\" + \"+e+\", bCol\"},l=4*Math.floor(i/4),c=i%4;this.userCode=\" float dotARowBCol(int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+l+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+s(0,\"i\")+\"),\\n          getMatrixA(\"+s(1,\"i\")+\"),\\n          getMatrixA(\"+s(2,\"i\")+\"),\\n          getMatrixA(\"+s(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+u(0,\"i\")+\"),\\n          getMatrixB(\"+u(1,\"i\")+\"),\\n          getMatrixB(\"+u(2,\"i\")+\"),\\n          getMatrixB(\"+u(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===c)+\") {\\n        result += getMatrixA(\"+s(0,l)+\") *\\n          getMatrixB(\"+u(0,l)+\");\\n      } else if (\"+(2===c)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+s(0,l)+\"),\\n          getMatrixA(\"+s(1,l)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+u(0,l)+\"),\\n          getMatrixB(\"+u(1,l)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===c)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+s(0,l)+\"),\\n          getMatrixA(\"+s(1,l)+\"),\\n          getMatrixA(\"+s(2,l)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+u(0,l)+\"),\\n          getMatrixB(\"+u(1,l)+\"),\\n          getMatrixB(\"+u(2,l)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec2 resRC = getOutputCoords();\\n      setOutput(dotARowBCol(resRC.x, resRC.y));\\n    }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,n){this.variableNames=[\"probs\"],this.outputShape=[e,n],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,\"seed\")),n.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,n,r){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+r+\"), float(\"+n+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}(),PadProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=getCoordsDataType(r),o=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,n){return t[0]+e[n]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,r);this.userCode=1!==r?\"\\n      \"+a+\" start = \"+a+\"(\"+o+\");\\n      \"+a+\" end = \"+a+\"(\"+i+\");\\n\\n      void main() {\\n        \"+a+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+n+\"));\\n        } else {\\n          \"+a+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+o+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+n+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,n){if(this.variableNames=[\"x\"],\"avg\"===t&&n)throw new Error(\"Cannot compute positions for average pool.\");var r=e.filterHeight,a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var l=\"avg\"===t,c=\"0.0\";if(l||(c=\"-1.0 / 0.0\"),n)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n        const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+r+\"; wR++) {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+a+\"; wC++) {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+a+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var d=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(d=\"avgValue / count\");var p=4*Math.floor(a/4),h=a%4,f=\"\\n      if (\"+l+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n      const float initializationValue = \"+c+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+c+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+r+\"; wR++) {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+p+\"; wC += 4) {\\n            int xC = xCCorner + wC;\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              getValue(batch, xR, xC + 3, d)\\n            );\\n\\n            \"+f+\"\\n          }\\n\\n          int xC = xCCorner + \"+p+\";\\n          if (\"+(1===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(2===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(3===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          }\\n        }\\n        setOutput(\"+d+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.windowSize,r=e.batchSize,a=e.inSize,o=Math.ceil(a/n);this.outputShape=[r,o];var i=\"0.0\",s=\"\";\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"all\"===t&&(u=\"allValue\");var l=4*Math.floor(n/4),c=n%4,d=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",p=\"vec4\";\"all\"===t&&(i=\"1.0\",d=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",p=\"bvec4\");var h=\"\";a%n>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+d+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ResizeBilinearBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],o=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?a-1:a,n&&u>1?o-1:o],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],d=l[0]/c[0],p=l[1]/c[1],h=1/d,f=1/p,g=2*Math.ceil(h)+2,m=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+d+\");\\n        const float widthScale = float(\"+p+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+g+\");\\n        const int winWidth = int(\"+m+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(a-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(o-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?o-1:o,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+o+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=r?[o-1,i-1]:[o,i],l=r?[t-1,n-1]:[t,n],c=r?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+o+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.length;if(n>4)throw new Error(\"WebGL backend: Reverse of rank-\"+n+\" tensor is not yet supported\");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+\" - coords[\"+n+\"] - 1\":\"coords[\"+n+\"]\"}(r)}).join(\",\"),a=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+a+\" coords = getOutputCoords();\\n        setOutput(getX(\"+r+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var n=e.windowSize,r=e.batchSize,a=e.inSize,o=e.numSegments,i=o*Math.ceil(a/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";a%n>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return initializationValue;\\n        }\\n      \");var d=\"\";a%n>0&&(d=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+d+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+o+\")) * float(\"+n+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+o+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),n=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+n+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,\"start\"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=n,this.rank=n.length;var r=getCoordsDataType(this.rank),a=\"\";a=1===this.rank?\"coords * strides + begin\":n.map(function(e,t){return\"coords[\"+t+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"}).join(\",\"),this.userCode=\"\\n      \"+r+\" begin = \"+r+\"(\"+e+\");\\n      \"+r+\" strides = \"+r+\"(\"+t+\");\\n\\n      void main() {\\n        \"+r+\" coords = getOutputCoords();\\n        setOutput(getX(\"+a+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t){var n,r=getPhysicalFromLogicalTextureType(t),a=getKeyFromTextureShape(e,r);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}return this.numUsedTextures++,this.log(),r===PhysicalTextureType.FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PhysicalTextureType.FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(n),n},e.prototype.releaseTexture=function(e,t,n){var r=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(n));r in this.freeTextures||(this.freeTextures[r]=[]),this.freeTextures[r].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[r],o=a.indexOf(e);if(o<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");a.splice(o,1),this.log()},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e){if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.FLOAT32:PhysicalTextureType.FLOAT16;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t){return e[0]+\"_\"+e[1]+\"_\"+t}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=getCoordsDataType(this.rank),o=getSourceCoords$1(e);this.userCode=\"\\n      void main() {\\n        \"+a+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+o+\"));\\n      }\\n    \"}}();function getSourceCoords$1(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],r=[],a=0;a<e.length;a++)r.push(\"imod(\"+n[a]+\", \"+e[a]+\")\");return r.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=getCoordsDataType(this.rank),o=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+a+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+o+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,UnaryOpProgram=function(){return function(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function STEP(e){return void 0===e&&(e=0),CHECK_NAN_SNIPPET$1+\"\\n    return x > 0.0 ? 1.0 : float(\"+e+\");\\n  \"}var NEG=\"return -x;\",CEIL=\"return ceil(x);\",FLOOR=\"return floor(x);\",SIGN=\"\\n  if (isNaN(x)) { return 0.0; }\\n  return sign(x);\\n\",ROUND=\"\\n  // OpenGL ES does not support round function.\\n  // The algorithm is based on banker's rounding.\\n  float base = floor(x);\\n  if ((x - base) < 0.5) {\\n    return floor(x);\\n  } else if ((x - base) > 0.5) {\\n    return ceil(x);\\n  } else {\\n    if (mod(base, 2.0) == 0.0) {\\n      return base;\\n    } else {\\n      return base + 1.0;\\n    }\\n  }\\n\",EXP=\"return exp(x);\",EXPM1=\"return exp(x) - 1.0;\",LOG=\"return log(x);\",LOG1P=\"return log(1.0 + x);\",SQRT=\"return sqrt(x);\",RSQRT=\"return inversesqrt(x);\",SIGMOID=\"return 1.0 / (1.0 + exp(-1.0 * x));\",SOFTPLUS=\"\\n  float epsilon = 1.1920928955078125e-7;\\n  float threshold = log(epsilon) + 2.0;\\n\\n  bool too_large = x > -threshold;\\n  bool too_small = x < threshold;\\n\\n  float result;\\n  float exp_x = exp(x);\\n\\n  if (too_large){\\n    result = x;\\n  }\\n  else if (too_small){\\n    result = exp_x;\\n  }\\n  else{\\n    result = log(exp_x + 1.0);\\n  }\\n  return result;\\n\",SIN=CHECK_NAN_SNIPPET$1+\"\\n  return sin(x);\\n\",COS=CHECK_NAN_SNIPPET$1+\"\\n  return cos(x);\\n\",TAN=\"return tan(x);\",ASIN=\"return asin(x);\",ACOS=\"return acos(x);\",ATAN=CHECK_NAN_SNIPPET$1+\"\\n  return atan(x);\\n\",SINH=\"\\n  float e2x = exp(x);\\n  return (e2x - 1.0 / e2x) / 2.0;\\n\",COSH=\"\\n  float e2x = exp(-x);\\n  return (e2x + 1.0 / e2x) / 2.0;\\n\",TANH=\"\\n  float e2x = exp(-2.0 * abs(x));\\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\\n\",ASINH=\"return log(x + sqrt(x * x + 1.0));\",ACOSH=\"return log(x + sqrt(x * x - 1.0));\",ATANH=\"return (log(1.0 + x) - log(1.0 - x)) / 2.0;\",ERF='\\n  // Error function is calculated approximately with elementary function.\\n  // See \"Handbook of Mathematical Functions with Formulas,\\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\\n  float p = '+ERF_P+\";\\n  float a1 = \"+ERF_A1+\";\\n  float a2 = \"+ERF_A2+\";\\n  float a3 = \"+ERF_A3+\";\\n  float a4 = \"+ERF_A4+\";\\n  float a5 = \"+ERF_A5+\";\\n\\n  float t = 1.0 / (1.0 + p * x);\\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\\n\",SQUARE=\"return x * x;\",RECIPROCAL=\"return 1.0 / x;\",LOGICAL_NOT=\"return float(!(x >= 1.0));\",TO_INT=\"return float(int(x));\",BEFORE_PAGING_CONSTANT=300,SIZE_UPLOAD_UNIFORM=32,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.texData=new WeakMap,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\")),null==e?(this.gpgpu=new GPGPUContext(createWebGLContext(this.canvas)),this.gpgpuCreatedLocally=!0):this.gpgpuCreatedLocally=!1,this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT,this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,texShape:null,usage:TextureUsage.RENDER})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"MathBackendWebGL.writePixels(): pixels can not be null\");var n=[e.height,e.width],r=[e.height,e.width,t];if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixelsCanvas=document.createElement(\"canvas\")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var a=Tensor.make(n,{},\"int32\");this.texData.get(a.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var o=new FromPixelsProgram(r),i=this.compileAndRun(o,[a]);return a.dispose(),i},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,a=n.texShape,o=n.usage;null!=r&&(this.releaseTexture(e,r,a,o),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,a=t.values,o=t.texShape,i=t.dtype;if(null!=a)return this.cacheOnCPU(e),a;var s,u,l=null!=this.activeTimers;if(l&&(s=performance.now()),ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"))u=this.gpgpu.downloadFloat32MatrixFromOutputTexture(r,o[0],o[1]);else{var c=Tensor.make(n,{});this.texData.get(c.dataId).usage=TextureUsage.DOWNLOAD;var d=Tensor.make(n,{dataId:e},i),p=new EncodeFloatProgram(n),h=this.compileAndRun(p,[d],c),f=this.texData.get(c.dataId);u=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture,f.texShape[0],f.texShape[1]),h.dispose(),d.dispose(),c.dispose()}return l&&(this.downloadWaitMs+=performance.now()-s),this.cacheOnCPU(e,u),t.values},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i,s,u;return __generator(this,function(l){switch(l.label){case 0:return this.pendingRead.has(e)?(t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})]):(this.throwIfNoData(e),n=this.texData.get(e),r=n.texture,a=n.values,o=n.texShape,null!=a?(this.cacheOnCPU(e),[2,a]):ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\")?[4,this.gpgpu.downloadMatrixFromTextureAsync(r,o[0],o[1])]:[3,2]);case 1:return i=l.sent(),this.cacheOnCPU(e,i),[2,n.values];case 2:return 0===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?[2,this.readSync(e)]:(this.pendingRead.set(e,[]),[4,this.gpgpu.runQuery(function(){})]);case 3:return l.sent(),s=this.pendingRead.get(e),this.pendingRead.delete(e),u=this.readSync(e),s.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i;return __generator(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=flatten(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return o=s.sent(),i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:o,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.pollQueryTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage;null!=n&&this.releaseTexture(e,n,r,a),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.slice=function(e,t,n){var r=new SliceProgram(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,o){var i=getStridedSlicedInfo(e.shape,t,n,r,a,o),s=i[0],u=i[1];if(u.some(function(e){return 0===e}))return tensor([],u);var l=new StridedSliceProgram(s,r,u);return this.compileAndRun(l,[e])},e.prototype.reverse=function(e,t){var n=new ReverseProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat=function(e,t){var n=new ConcatProgram(e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.matMul=function(e,t,n,r){var a=new MatMulProgram(e.shape,t.shape,n,r);return this.compileAndRun(a,[e,t])},e.prototype.multiply=function(e,t){var n=new BinaryOpProgram(MUL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.batchNormalization=function(e,t,n,r,a,o){var i=[e,t,n],s=null;null!=o&&(s=o.shape,i.push(o));var u=null;null!=a&&(u=a.shape,i.push(a));var l=new BatchNormProgram(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,i)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var o=new LRNProgram(e.shape,t,n,r,a);return this.compileAndRun(o,[e])},e.prototype.tile=function(e,t){var n=new TileProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new PadProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new TransposeProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new GatherProgram(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],o=computeOptimalWindowSize(a),i=new ReduceProgram({windowSize:o,inSize:a,batchSize:r},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var o=computeOptimalWindowSize(a),i=new ArgMinMaxProgram({windowSize:o,inSize:a,batchSize:r},t,null==n),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),d=[e];return null!=n&&d.push(n),this.compileAndRun(i,d,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a),i=sumOutType(e.dtype);return this.reduce(o,\"sum\",i).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=getAxesPermutation([r],e.rank),o=e;null!=a&&(o=e.transpose(a),r=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(o.shape,r,n),s=sizeFromShape([o.shape[r]]),u=o.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,n).reshape(i);return null!=a&&(c=c.transpose(getUndoAxesPermutation(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var o=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,a),u=new 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BinaryOpProgram(EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new BinaryOpProgram(LESS,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new BinaryOpProgram(GREATER,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.where=function(e,t,n,r){var a=new WhereProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(a.outputShape,r);return this.compileAndRun(a,[e,t,n],o)},e.prototype.topKValues=function(e,t){throw new Error(\"topKValues GPU not yet implemented!\")},e.prototype.topKIndices=function(e,t){throw new Error(\"topKIndices GPU not yet implemented!\")},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"min\",o.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new BinaryOpProgram(MOD,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"max\",o.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"all\",o.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new BinaryOpProgram(DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new BinaryOpProgram(INT_DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"int32\");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){var n=new BinaryOpProgram(ADD,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.subtract=function(e,t){var n=new BinaryOpProgram(SUB,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new BinaryOpProgram(POW,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG);return this.compileAndRun(t,[e])},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),n=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new ClipProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH);return this.compileAndRun(t,[e])},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH);return this.compileAndRun(t,[e])},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new Conv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new Conv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new Conv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new DepthwiseConv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Pool2DProgram(t,\"max\",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Pool2DProgram(t,\"avg\",!1),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new Pool2DProgram(r,\"max\",!0),o=this.compileAndRun(a,[t]),i=new MaxPool2DBackpropProgram(r),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,o],s);return o.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new AvgPool2DBackpropProgram(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new ResizeBilinearProgram(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new ResizeBilinearBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new ResizeNearestNeighborProgram(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:softmax(e),o=a.shape[0],i=a.shape[1],s=new MultinomialProgram(o,i,n),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new OneHotProgram(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r){var a=this;null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype));var o=t.map(function(e){var t=a.texData.get(e.dataId);return null==t.texture&&e.size<=SIZE_UPLOAD_UNIFORM?{tensor:e,texData:null,isUniform:!0}:(a.uploadToGPU(e.dataId),{tensor:e,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var i,s={tensor:n,texData:this.texData.get(n.dataId),isUniform:!1},u=makeShaderKey(e,o,s),l=this.getAndSaveBinary(u,function(){return compileProgram(a.gpgpu,e,o,s)}),c=null!=this.activeTimers;if(c&&(i=this.startTimer()),runProgram(l,o,s,r),this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0;){var p=this.lruDataGPU.shift(),h=this.texData.get(p),f=h.shape,g=h.dtype;d-=this.computeBytes(f,g),this.read(p)}return c&&(i=this.endTimer(i),this.activeTimers.push(this.getQueryTime(i))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error(\"WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.uploadToGPU=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.values,a=t.texture,o=t.dtype,i=t.usage;if(null!=a)return this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),void this.lruDataGPU.push(e);var s,u=null!=this.activeTimers;u&&(s=performance.now());var l=getTextureShapeFromLogicalShape(this.gpgpu.gl,n);t.texShape=l;var c=this.acquireTexture(e,l,i);t.texture=c,null!=r&&(this.gpgpu.uploadMatrixToTexture(c,l[0],l[1],typedArrayToFloat32(r,o)),t.values=null,u&&(this.uploadWaitMs+=performance.now()-s))},e.prototype.cacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),a=r.texture,o=r.texShape,i=r.dtype,s=r.usage;n&&null!=a&&(this.releaseTexture(e,a,o,s),r.texture=null,r.texShape=null),null!=t&&(r.values=float32ToTypedArray(t,i))},e.prototype.releaseTexture=function(e,t,n,r){var a=this.texData.get(e),o=a.shape,i=a.dtype,s=this.lruDataGPU.indexOf(e);s>=0&&this.lruDataGPU.splice(s,1),this.numBytesInGPU-=this.computeBytes(o,i),this.textureManager.releaseTexture(t,n,r)},e.prototype.acquireTexture=function(e,t,n){var r=this.texData.get(e),a=r.shape,o=r.dtype;return this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(a,o),this.textureManager.acquireTexture(t,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var n=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2);var MathBackendCPU=function(){function e(){this.data=new WeakMap,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\"))}return e.prototype.register=function(e,t,n){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&console.warn(\"\\n============================\\nHi there đź‘‹. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,null)},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.throwIfNoData(e),this.data.set(e,t)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"MathBackendCPU.writePixels(): pixels can not be null\");var n,r;if(e instanceof ImageData)n=e.data;else if(e instanceof HTMLCanvasElement)n=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels is of unknown type: \"+e.constructor.name);if(null==this.canvas)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.canvas.width=e.width,this.canvas.height=e.height,this.canvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),n=this.canvas.getContext(\"2d\").getImageData(0,0,e.width,e.height).data}if(4===t)r=new Int32Array(n);else{var a=e.width*e.height;r=new Int32Array(a*t);for(var o=0;o<a;o++)for(var i=0;i<t;++i)r[o*t+i]=n[4*o+i]}var s=[e.height,e.width,t];return tensor3d(r,s,\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){return this.throwIfNoData(e),this.data.get(e)},e.prototype.disposeData=function(e){this.data.has(e)&&this.data.delete(e)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return t=performance.now(),e(),[2,{kernelMs:performance.now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.throwIfNoData=function(e){if(!this.data.has(e))throw new Error(\"CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.slice=function(e,t,n){for(var r=buffer(n,e.dtype),a=0;a<r.size;++a){var o=r.indexToLoc(a),i=o.map(function(e,n){return e+t[n]});r.set.apply(r,[e.get.apply(e,i)].concat(o))}return r.toTensor()},e.prototype.stridedSlice=function(e,t,n,r,a,o){var i=getStridedSlicedInfo(e.shape,t,n,r,a,o),s=i[0],u=i[1];if(u.some(function(e){return 0===e}))return tensor([],u);for(var l=buffer(u,e.dtype),c=0;c<l.size;c++){for(var d=l.indexToLoc(c),p=new Array(d.length),h=0;h<p.length;h++)p[h]=d[h]*r[h]+s[h];l.set.apply(l,[e.get.apply(e,p)].concat(d))}return l.toTensor()},e.prototype.reverse=function(e,t){for(var n=buffer(e.shape,e.dtype),r=e.buffer(),a=function(a){var o=n.indexToLoc(a),i=o.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),n.set.apply(n,[r.get.apply(r,i)].concat(o))},o=0;o<n.size;o++)a(o);return n.toTensor()},e.prototype.concat=function(e,t){var n=computeOutShape(e.shape,t.shape,1),r=buffer(n,e.dtype);if(1===e.shape[0]&&1===t.shape[0]){var a=e.dataSync(),o=t.dataSync(),i=r.values;return i.set(a,0),i.set(o,e.size),r.toTensor()}for(var s=0;s<n[0];++s){for(var u=0;u<e.shape[1];++u)r.set(e.get(s,u),s,u);for(u=0;u<t.shape[1];++u)r.set(t.get(s,u),s,u+e.shape[1])}return r.toTensor()},e.prototype.neg=function(e){return this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.subtract=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.matMul=function(e,t,n,r){for(var a=n?e.shape[0]:e.shape[1],o=n?e.shape[1]:e.shape[0],i=r?t.shape[0]:t.shape[1],s=e.dataSync(),u=t.dataSync(),l=n?[1,e.strides[0]]:[e.strides[0],1],c=l[0],d=l[1],p=r?[t.strides[0],1]:[1,t.strides[0]],h=p[0],f=p[1],g=o*c,m=i*h,v=new Float32Array(o*i),y=0,x=0;x<g;x+=c)for(var b=0;b<m;b+=h){for(var E=x,S=b,A=0,T=0;T<a;++T)A+=s[E]*u[S],E+=d,S+=f;v[y++]=A}return tensor2d(v,[o,i])},e.prototype.multiply=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=upcastType(e.dtype,\"int32\"),i=zeros(r,o),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=0,h=0;h<s;++h)p+=l[d+h];u[c]=p}return i},e.prototype.unsortedSegmentSum=function(e,t,n){for(var r=[],a=e.rank-t.rank,o=0;o<a;++o)t=t.expandDims(o+1);for(o=0;o<n;++o){var i=scalar(o,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);r.push(s)}return stack(r)},e.prototype.argMin=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),a=r[0],o=r[1],i=zeros(a,\"int32\"),s=sizeFromShape(o),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=l[d],h=0,f=0;f<s;++f){var g=l[d+f];g<p&&(p=g,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),a=r[0],o=r[1],i=zeros(a,\"int32\"),s=sizeFromShape(o),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=l[d],h=0,f=0;f<s;++f){var g=l[d+f];g>p&&(p=g,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var a=upcastType(e.dtype,\"int32\"),o=zeros(e.shape,a),i=o.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var d=0;d<u;d++){var p=l(c,d);if(0===d)i[p]=n?0:s[p];else{var h=l(c,d-1);i[p]=n?s[h]+i[h]:s[p]+i[h]}}return o},e.prototype.equal=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Tensor.make(e.shape,{values:n},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.where=function(e,t,n,r){for(var a=e.dataSync(),o=t.dataSync(),i=n.dataSync(),s=zeros(t.shape,r),u=s.dataSync(),l=0,c=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],d=0;d<a.length;d++)for(var p=0;p<c;p++)1===a[d]?u[l++]=o[d]:u[l++]=i[d];return s},e.prototype.topKValues=function(e,t){return this.topK(e,t).values},e.prototype.topKIndices=function(e,t){return this.topK(e,t).indices},e.prototype.topK=function(e,t){for(var n=e.dataSync(),r=[],a=0;a<n.length;a++)r.push({value:n[a],index:a});r.sort(function(e,t){return t.value-e.value});var o=getTypedArrayFromDType(e.dtype,t),i=new Int32Array(t);for(a=0;a<t;a++)o[a]=r[a].value,i[a]=r[a].index;return{values:tensor1d(o,e.dtype),indices:tensor1d(i,\"int32\")}},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];h<d&&(d=h)}s[l]=d}return o},e.prototype.minimum=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];h>d&&(d=h)}s[l]=d}return o},e.prototype.maximum=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];d=d&&h}s[l]=d}return o},e.prototype.squaredDifference=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.floor=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.sign=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Tensor.make(e.shape,{values:n})},e.prototype.round=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return Tensor.make(e.shape,{values:n})},e.prototype.exp=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.expm1=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.log=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return Tensor.make(e.shape,{values:n})},e.prototype.log1p=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return Tensor.make(e.shape,{values:n})},e.prototype.sqrt=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return Tensor.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return Tensor.make(e.shape,{values:n})},e.prototype.square=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return Tensor.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Tensor.make(e.shape,{values:n})},e.prototype.relu=function(e){for(var t=zeros(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),o=0;o<r.length;++o){var i=r[o];n[o]=i>=1?a[o]:a[o]*(i+1)}return Tensor.make(t.shape,{values:n})},e.prototype.selu=function(e){for(var t=SELU_SCALEALPHA,n=SELU_SCALE,r=new Float32Array(e.size),a=e.dataSync(),o=0;o<a.length;++o){var i=a[o];r[o]=i>=0?n*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:r})},e.prototype.clip=function(e,t,n){for(var r=new Float32Array(e.size),a=e.dataSync(),o=0;o<a.length;++o)r[o]=Math.min(n,Math.max(t,a[o]));return Tensor.make(e.shape,{values:r})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var o=r[a]>-t,i=r[a]<t,s=Math.exp(r[a]),u=void 0;u=i?s:o?r[a]:Math.log(1+s),n[a]=u}return Tensor.make(e.shape,{values:n})},e.prototype.sin=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=tanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=ERF_P,a=ERF_A1,o=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<n.length;++l){var c=n[l],d=1/(1+r*c);t[l]=1-((((u*d+s)*d+i)*d+o)*d+a)*d*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0);for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var o=r[a];isNaN(o)?n[a]=NaN:n[a]=o>0?1:t}return Tensor.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=buffer(n.outShape,e.dtype),c=0;c<n.batchSize;++c)for(var d=0;d<n.outChannels;++d)for(var p=0;p<n.outHeight;++p)for(var h=p*n.strideHeight-s,f=0;f<n.outWidth;++f){for(var g=f*n.strideWidth-u,m=0,v=0;v<r;v++){var y=h+v*o;if(!(y<0||y>=n.inHeight))for(var x=0;x<a;x++){var b=g+x*i;if(!(b<0||b>=n.inWidth))for(var E=0;E<n.inChannels;++E){m+=e.get(c,y,b,E)*t.get(v,x,E,d)}}}l.set(m,c,p,f,d)}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){for(var r=buffer(n.inShape,\"float32\"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],l=e.dataSync(),c=e.strides,d=c[0],p=c[1],h=c[2],f=t.dataSync(),g=t.strides,m=g[0],v=g[1],y=g[2],x=n.batchSize,b=n.filterHeight,E=n.filterWidth,S=n.inChannels,A=n.inHeight,T=n.inWidth,w=n.outChannels,_=n.outHeight,R=n.outWidth,C=n.strideHeight,O=n.strideWidth,I=b-1-n.padInfo.top,k=E-1-n.padInfo.left,M=0;M<x;++M)for(var N=0;N<S;++N)for(var D=0;D<A;++D)for(var P=D-I,F=Math.max(0,Math.ceil(P/C)),L=Math.min(_,(b+P)/C),B=0;B<T;++B){for(var U=B-k,V=Math.max(0,Math.ceil(U/O)),z=Math.min(R,(E+U)/O),G=0,W=F;W<L;++W)for(var q=W*C-P,H=V;H<z;++H)for(var X=d*M+p*W+h*H,j=m*(b-1-q)+v*(E-1-(H*O-U))+y*N,K=0;K<w;++K){G+=l[X+K]*f[j+K]}a[i*M+s*D+u*B+N]=G}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<o;++c)for(var d=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/a)),g=Math.min(n.outWidth,(n.inWidth+u-h)/a),m=0;m<n.inChannels;++m)for(var v=0;v<n.outChannels;++v){for(var y=0,x=0;x<n.batchSize;++x)for(var b=d;b<p;++b)for(var E=c+b*r-l,S=f;S<g;++S){var A=h+S*a-u;y+=e.get(x,E,A,m)*t.get(x,b,S,v)}s.set(y,c,h,m,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=buffer(n.outShape,e.dtype),d=0;d<n.batchSize;++d)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.outHeight;++h)for(var f=h*n.strideHeight-s,g=0;g<n.outWidth;++g)for(var m=g*n.strideWidth-u,v=0;v<l;++v){for(var y=0,x=0;x<r;++x){var b=f+x*o;if(!(b<0||b>=n.inHeight))for(var E=0;E<a;++E){var S=m+E*i;if(!(S<0||S>=n.inWidth))y+=e.get(d,b,S,p)*t.get(x,E,p,v)}}c.set(y,d,h,g,p*l+v)}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){for(var r=buffer(n.inShape,\"float32\"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],l=e.dataSync(),c=e.strides,d=c[0],p=c[1],h=c[2],f=t.dataSync(),g=t.strides,m=g[0],v=g[1],y=g[2],x=n.batchSize,b=n.filterHeight,E=n.filterWidth,S=n.inChannels,A=n.inHeight,T=n.inWidth,w=n.outChannels,_=n.outHeight,R=n.outWidth,C=n.strideHeight,O=n.strideWidth,I=b-1-n.padInfo.top,k=E-1-n.padInfo.left,M=w/S,N=0;N<x;++N)for(var D=0;D<S;++D)for(var P=0;P<A;++P)for(var F=P-I,L=Math.max(0,Math.ceil(F/C)),B=Math.min(_,(b+F)/C),U=0;U<T;++U){for(var V=U-k,z=Math.max(0,Math.ceil(V/O)),G=Math.min(R,(E+V)/O),W=0,q=L;q<B;++q)for(var H=q*C-F,X=z;X<G;++X)for(var j=d*N+p*q+h*X,K=m*(b-1-H)+v*(E-1-(X*O-V))+y*D,Q=0;Q<M;++Q){W+=l[j+(D*M+Q)]*f[K+Q]}a[i*N+s*P+u*U+D]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,d=0;d<o;++d)for(var p=Math.max(0,Math.ceil((l-d)/r)),h=Math.min(n.outHeight,(n.inHeight+l-d)/r),f=0;f<i;++f)for(var g=Math.max(0,Math.ceil((u-f)/a)),m=Math.min(n.outWidth,(n.inWidth+u-f)/a),v=0;v<n.outChannels;++v){for(var y=Math.trunc(v/c),x=v%c,b=0,E=0;E<n.batchSize;++E)for(var S=p;S<h;++S)for(var A=d+S*r-l,T=g;T<m;++T){var w=f+T*a-u;b+=e.get(E,A,w,y)*t.get(E,S,T,v)}s.set(b,d,f,y,x)}return s.toTensor()},e.prototype.tile=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=buffer(n,e.dtype),o=e.buffer();for(r=0;r<a.values.length;++r){for(var i=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=o.locToIndex(s);a.values[r]=o.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),o=e.buffer(),i=buffer(r,e.dtype);0!==n&&i.values.fill(n);for(var s=0;s<e.size;s++){var u=o.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),o=buffer(n,e.dtype),i=e.buffer();for(r=0;r<e.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=o.locToIndex(u);o.values[c]=a[r]}return o.toTensor()},e.prototype.gather=function(e,t,n){var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var o=buffer(r,e.dtype),i=e.buffer(),s=0;s<o.size;++s){var u=o.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=i.locToIndex(l);o.values[s]=i.values[c]}return o.toTensor()},e.prototype.pool=function(e,t,n){for(var r=t.strideHeight,a=t.strideWidth,o=t.filterHeight,i=t.filterWidth,s=buffer(t.outShape,\"float32\"),u=t.padInfo.top,l=t.padInfo.left,c=0;c<t.batchSize;++c)for(var d=0;d<t.inChannels;++d)for(var p=0;p<t.outHeight;++p)for(var h=p*r-u,f=Math.max(0,h),g=Math.min(t.inHeight,o+h),m=0;m<t.outWidth;++m){for(var v=m*a-l,y=Math.max(0,v),x=Math.min(t.inWidth,i+v),b=\"max\"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,E=0,S=0,A=f;A<g;++A){for(var T=y;T<x;++T){var w=e.get(c,A,T,d);\"max\"===n&&w>b?b=w:\"avg\"===n&&(E+=w,S++)}if(isNaN(b))break}s.set(\"avg\"===n?E/S:b,c,p,m,d)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var n=buffer(t.outShape,\"int32\"),r=t.strideHeight,a=t.strideWidth,o=t.filterHeight,i=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var d=0;d<t.outHeight;++d)for(var p=d*r-s,h=Math.max(0,p),f=Math.min(t.inHeight,o+p),g=0;g<t.outWidth;++g){for(var m=g*a-u,v=Math.max(0,m),y=Math.min(t.inWidth,i+m),x=Number.NEGATIVE_INFINITY,b=-1,E=h;E<f;++E)for(var S=E-p,A=v;A<y;++A){var T=A-m,w=e.get(l,E,A,c);w>x&&(x=w,b=S*i+T)}n.set(b,l,d,g,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){for(var a=this.maxPoolPositions(t,r),o=r.strideHeight,i=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,d=buffer(t.shape,\"float32\"),p=0;p<r.batchSize;++p)for(var h=0;h<r.inChannels;++h)for(var f=0;f<r.inHeight;++f)for(var g=0;g<r.inWidth;++g){for(var m=f-c,v=g-l,y=0,x=0;x<s;++x){var b=(m+x)/o;if(!(b<0||b>=r.outHeight||Math.floor(b)!==b))for(var E=0;E<u;++E){var S=(v+E)/i;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var A=s*u-1-a.get(p,b,S,h)===x*u+E?1:0;if(0!==A)y+=e.get(p,b,S,h)*A}}}d.set(y,p,f,g,h)}return d.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=i-1-n.padInfo.left,u=o-1-n.padInfo.top,l=buffer(t.shape,\"float32\"),c=1/(o*i),d=0;d<n.batchSize;++d)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.inHeight;++h)for(var f=0;f<n.inWidth;++f){for(var g=h-u,m=f-s,v=0,y=0;y<o;++y){var x=(g+y)/r;if(!(x<0||x>=n.outHeight||Math.floor(x)!==x))for(var b=0;b<i;++b){var E=(m+b)/a;if(!(E<0||E>=n.outWidth||Math.floor(E)!==E))v+=e.get(d,x,E,p)}}l.set(v*c,d,h,f,p)}return l.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){for(var a=e.shape,o=a[0],i=a[1],s=a[2],u=a[3],l=buffer([o,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],d=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<o;p++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var g=0;g<u;g++){var m=c[0]*h/d[0],v=c[1]*f/d[1],y=Math.floor(m),x=Math.min(i-1,Math.ceil(m)),b=Math.floor(v),E=Math.min(s-1,Math.ceil(v)),S=e.get(p,y,b,g),A=e.get(p,x,b,g),T=v-b,w=S+(e.get(p,y,E,g)-S)*T,_=w+(A+(e.get(p,x,E,g)-A)*T-w)*(m-y);l.set(_,p,h,f,g)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){for(var r=t.shape,a=r[0],o=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],d=buffer([a,o,i,s],t.dtype),p=[n&&l>1?o-1:o,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=p[0]/h[0],g=p[1]/h[1],m=0;m<a;m++)for(var v=0;v<l;v++)for(var y=v*f,x=Math.floor(y),b=Math.min(Math.ceil(y),o-1),E=y-x,S=1-E,A=0;A<c;A++)for(var T=A*g,w=Math.floor(T),_=Math.min(Math.ceil(T),i-1),R=T-w,C=1-R,O=0;O<s;O++){var I=e.get(m,v,A,O),k=d.get(m,x,w,O);k+=I*S*C,d.set(k,m,x,w,O);var M=d.get(m,x,_,O);M+=I*S*R,d.set(M,m,x,_,O);var N=d.get(m,b,w,O);N+=I*E*C,d.set(N,m,b,w,O);var D=d.get(m,b,_,O);D+=I*E*R,d.set(D,m,b,_,O)}return d.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){for(var a=e.shape,o=a[0],i=a[1],s=a[2],u=a[3],l=buffer([o,t,n,u],e.dtype),c=r?[i-1,s-1]:[i,s],d=r?[t-1,n-1]:[t,n],p=0;p<o;p++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var g=0;g<u;g++){var m=c[0]*h/d[0],v=c[1]*f/d[1],y=Math.min(i-1,r?Math.round(m):Math.floor(m)),x=Math.min(s-1,r?Math.round(v):Math.floor(v)),b=e.get(p,y,x,g);l.set(b,p,h,f,g)}return l.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,a,o){for(var i=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=o?o.dataSync():new Float32Array([0]),d=new Float32Array(i.length),p=0;p<i.length;p++)d[p]=c[p%c.length]+(i[p]-s[p%s.length])*l[p%l.length]/Math.sqrt(u[p%u.length]+r);return tensor4d(d,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var o=buffer(e.shape,\"float32\"),i=t,s=o.shape[3]-1;function u(t,n,r,a){for(var o=0,u=Math.max(0,a-i);u<=Math.min(a+i,s);u++){var l=e.get(t,n,r,u);o+=l*l}return o}for(var l=0;l<o.shape[0];l++)for(var c=0;c<=o.shape[1];c++)for(var d=0;d<o.shape[2];d++)for(var p=0;p<o.shape[3];p++){var h=u(l,c,d,p),f=e.get(l,c,d,p)*Math.pow(n+r*h,-a);o.set(f,l,c,d,p)}return o.toTensor()},e.prototype.multinomial=function(e,t,n,r){for(var a=t?e:softmax(e),o=a.shape[0],i=a.shape[1],s=zeros([o,n],\"int32\"),u=s.dataSync(),l=a.dataSync(),c=0;c<o;++c){var d=c*i,p=new Float32Array(i-1);p[0]=l[d];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[d+h];for(var f=seedrandom_1(r.toString()),g=c*n,m=0;m<n;++m){var v=f();u[g+m]=p.length;for(var y=0;y<p.length;y++)if(v<p[y]){u[g+m]=y;break}}}return s},e.prototype.oneHot=function(e,t,n,r){var a=new Float32Array(e.size*t);a.fill(r);for(var o=0;o<e.size;++o)e.get(o)>=0&&e.get(o)<t&&(a[o*t+e.get(o)]=n);return tensor2d(a,[e.size,t],\"int32\")},e.prototype.broadcastedBinaryOp=function(e,t,n,r){for(var a=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(a,n),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,a),l=getBroadcastDims(t.shape,a),c=e.buffer(),d=t.buffer(),p=function(n){var a=o.indexToLoc(n),p=a.slice(-e.rank);u.forEach(function(e){return p[e]=0});var h=c.locToIndex(p),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var g=d.locToIndex(f);o.values[n]=r(i[h],s[g])},h=0;h<o.values.length;++h)p(h);return o.toTensor()},e.prototype.dispose=function(){},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1);var BrowserUtil=function(){function e(){}return e.nextFrame=function(){return new Promise(function(e){return requestAnimationFrame(function(){return e()})})},__decorate([doc({heading:\"Performance\",subheading:\"Timing\"})],e,\"nextFrame\",null),e}(),DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){switch(o.label){case 0:for(r in t=[],n=[],e){if(\"float32\"!==(a=e[r]).dtype&&\"int32\"!==a.dtype&&\"bool\"!==a.dtype)throw new Error(\"Unsupported dtype in weight '\"+r+\"': \"+a.dtype);t.push({name:r,shape:a.shape,dtype:a.dtype}),n.push(a.data())}return[4,Promise.all(n)];case 1:return[2,{data:concatenateTypedArrays(o.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var n={},r=0,a=0,o=t;a<o.length;a++){var i=o[a],s=i.name,u=i.dtype,l=i.shape;if(null!=i.quantization)throw new Error(\"decodeWeights does not support quantization yet, but encountered weight '\"+s+\" with quantization.'\");var c=sizeFromShape(l),d=void 0;if(\"float32\"===u)d=ArrayOps.tensor(new Float32Array(e,r,c),l,\"float32\");else if(\"int32\"===u)d=ArrayOps.tensor(new Int32Array(e,r,c),l,\"int32\");else{if(\"bool\"!==u)throw new Error(\"Unsupported dtype in weight '\"+s+\"': \"+u);d=ArrayOps.tensor(new Uint8Array(e,r,c),l,\"bool\")}n[s]=d,r+=c*DTYPE_VALUE_SIZE_MAP[u]}return n}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0;e.forEach(function(e){if(e instanceof Float32Array||e instanceof Int32Array)t+=e.buffer.byteLength;else{if(!(e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name);t+=e.buffer.byteLength}});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e.buffer),r),r+=e.buffer.byteLength}),n.buffer}function stringByteLength(e){return new Blob([e]).size}function arrayBufferToBase64String(e){return btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){for(var t=atob(e),n=new Uint8Array(t.length),r=0;r<t.length;++r)n.set([t.charCodeAt(r)],r);return n.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e),r),r+=e.byteLength}),n.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var n=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var r=t(e);null!==r&&n.push(r)}),n},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,n){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var r=e.getInstance();assert(null==r.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),r.managers[t]=n},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,n){return void 0===n&&(n=!1),__awaiter(this,void 0,void 0,function(){var r,a,o,i,s,u,l,c,d;return __generator(this,function(p){switch(p.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((r=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(r.length<2,\"Copying failed because more than one (\"+r.length+\") load handlers for source URL \"+e+\".\"),a=r[0],assert((o=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(o.length<2,\"Copying failed because more than one (\"+r.length+\") save handlers for destination URL \"+t+\".\"),i=o[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,a.load()];case 1:return c=p.sent(),n&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:p.sent(),p.label=3;case 3:return[4,i.save(c)];case 4:return d=p.sent(),!n||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:p.sent(),p.label=6;case 6:return[2,d.modelArtifactsInfo]}})})}var ModelManagement=function(){function e(){}return e.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},n=0,r=e,s.label=1;case 1:return n<r.length?(a=r[n],[4,ModelStoreManagerRegistry.getManager(a).listModels()]):[3,4];case 2:for(i in o=s.sent())t[a+URL_SCHEME_SUFFIX+i]=o[i];s.label=3;case 3:return n++,[3,1];case 4:return[2,t]}})})},e.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){switch(n.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,n.sent()]}})})},e.copyModel=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,n.sent()]}})})},e.moveModel=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,n.sent()]}})})},__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"listModels\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"removeModel\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"copyModel\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"moveModel\",null),e}(),DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var n=this;return new Promise(function(e,r){var a=n.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);a.onupgradeneeded=function(){return setUpDatabase(a)},a.onsuccess=function(){var o=a.result;if(null==t){var i=o.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return o.close(),r(new Error(\"Cannot find model with path '\"+n.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return o.close(),r(s.error)},i.oncomplete=function(){return o.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=o.transaction(INFO_STORE_NAME,\"readwrite\"),d=c.objectStore(INFO_STORE_NAME),p=d.put({modelPath:n.modelPath,modelArtifactsInfo:l});p.onsuccess=function(){var a=(u=o.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:l});a.onsuccess=function(){return e({modelArtifactsInfo:l})},a.onerror=function(e){var t=(d=c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess=function(){return o.close(),r(a.error)},t.onerror=function(e){return o.close(),r(a.error)}}},p.onerror=function(e){return o.close(),r(p.error)},c.oncomplete=function(){null==u?o.close():u.oncomplete=function(){return o.close()}}}},a.onerror=function(e){return r(a.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,n){var r=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);r.onupgradeneeded=function(){return setUpDatabase(r)},r.onsuccess=function(){var e=r.result,a=e.transaction(INFO_STORE_NAME,\"readonly\"),o=a.objectStore(INFO_STORE_NAME).getAll();o.onsuccess=function(){for(var e={},n=0,r=o.result;n<r.length;n++){var a=r[n];e[a.modelPath]=a.modelArtifactsInfo}t(e)},o.onerror=function(t){return e.close(),n(o.error)},a.oncomplete=function(){return e.close()}},r.onerror=function(e){return n(r.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){return e=maybeStripScheme(e),[2,new Promise(function(n,r){var a=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);a.onupgradeneeded=function(){return setUpDatabase(a)},a.onsuccess=function(){var t,o=a.result,i=o.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return o.close(),r(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var a=s.delete(e),i=function(){var a=(t=o.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);a.onsuccess=function(){return n(u.result.modelArtifactsInfo)},a.onerror=function(e){return r(u.error)}};a.onsuccess=i,a.onerror=function(e){return i(),o.close(),r(u.error)}},u.onerror=function(e){return o.close(),r(u.error)},i.oncomplete=function(){null==t?o.close():t.oncomplete=function(){return o.close()}}},a.onerror=function(e){return r(a.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),r=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:r}]}catch(e){for(a in this.keys)this.LS.removeItem(this.keys[a]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+r.modelTopologyBytes+\", weightSpecsBytes=\"+r.weightSpecsBytes+\", weightDataBytes=\"+r.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a;return __generator(this,function(o){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=r,null==(a=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(a),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,n=PATH_SEPARATOR+INFO_SUFFIX,r=0;r<this.LS.length;++r)(a=this.LS.key(r)).startsWith(t)&&a.endsWith(n)&&(o=getModelPathFromKey(a),e[o]=JSON.parse(this.LS.getItem(a)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return n=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:\"application/json\"})),(o=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,o.href=a,o.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n=this;return __generator(this,function(r){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(r,a){var o=new FileReader;o.onload=function(o){var i=JSON.parse(o.target.result),s=i.modelTopology;if(null!=s){0===t.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,t)}catch(e){return void a(e)}var c=[],d=[],p=[];u.forEach(function(e){e.paths.forEach(function(e){d.push(e),p.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var n=t.target.result,a=d.indexOf(e);p[a]=n,-1===p.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(p)})},t.onerror=function(t){a(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else a(new Error(\"weightManifest field is missing from file \"+e.name))}else a(new Error(\"modelTopology field is missing from file \"+e.name))},o.onerror=function(t){a(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},o.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var n=[],r=t.map(function(e){return basename(e.name)}),a={},o=0,i=e;o<i.length;o++){i[o].paths.forEach(function(e){var o=basename(e);if(-1!==n.indexOf(o))throw new Error(\"Duplicate file basename found in weights manifest: '\"+o+\"'\");if(n.push(o),-1===r.indexOf(o))throw new Error(\"Weight file with basename '\"+o+\"' is not provided.\");a[e]=t[r.indexOf(o)]})}if(n.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+n.length+\") and the number of weight files provided (\"+t.length+\").\");return a},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(a){switch(a.label){case 0:return n=e.map(function(e){return fetch(e,t)}),[4,Promise.all(n)];case 1:return r=a.sent(),[4,Promise.all(r.map(function(e){return e.arrayBuffer()}))];case 2:return[2,a.sent()]}})})}function loadWeights(e,t,n,r){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var a,o,i,s,u,l,c,d,p,h;return __generator(this,function(f){switch(f.label){case 0:if(a=e.map(function(){return!1}),o={},i=null!=n?n.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var r=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){a[t]=!0,null==o[t]&&(o[t]=[]),o[t].push({manifestEntry:e,groupOffset:r,sizeBytes:l})};null!=n?n.forEach(function(t,n){t===e.name&&(c(),i[n]=!0)}):c(),s.push(e.name),r+=l})}),!i.every(function(e){return e}))throw u=n.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=a.reduce(function(e,t,n){return t&&e.push(n),e},[]),c=[],l.forEach(function(n){e[n].paths.forEach(function(e){var n=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(n)})}),[4,loadWeightsAsArrayBuffer(c,r)];case 1:return d=f.sent(),p={},h=0,l.forEach(function(t){for(var n=e[t].paths.length,r=0,a=0;a<n;a++)r+=d[h+a].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,l=0;l<n;l++){var c=new Uint8Array(d[h+l]);s.set(c,u),u+=c.byteLength}o[t].forEach(function(e){var t,n=i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),r=e.manifestEntry.dtype;if(\"quantization\"in e.manifestEntry){var a=e.manifestEntry.quantization;if(\"uint8\"!==a.dtype&&\"uint16\"!==a.dtype)throw new Error(\"Weight \"+e.manifestEntry.name+\" has unknown quantization dtype \"+a.dtype+\".\");var o=\"uint8\"===a.dtype?new Uint8Array(n):new Uint16Array(n);if(\"float32\"===r)t=Float32Array.from(o,function(e){return e*a.scale+a.min});else{if(\"int32\"!==r)throw new Error(\"Weight \"+e.manifestEntry.name+\" has a dtype not supported by quantization: \"+r);t=Int32Array.from(o,function(e){return Math.round(e*a.scale+a.min)})}}else if(\"float32\"===r)t=new Float32Array(n);else{if(\"int32\"!==r)throw new Error(\"Weight \"+e.manifestEntry.name+\" has unknown dtype \"+r+\".\");t=new Int32Array(n)}var s=e.manifestEntry.name;if(null!=p[s])throw new Error(\"Duplicate weight with name \"+s+\". Please make sure weights names are unique in the manifest JSON.\");p[s]=tensor(t,e.manifestEntry.shape,e.manifestEntry.dtype)}),h+=n}),[2,p]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t){if(this.DEFAULT_METHOD=\"POST\",!ENV.get(\"IS_BROWSER\"))throw new Error(\"browserHTTPRequest is not supported outside the web browser.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){switch(o.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},t.body.append(\"model.json\",new Blob([JSON.stringify(r)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if(200===(a=o.sent()).status)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[a]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+a.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o,i,s,u,l,c,d;return __generator(this,function(p){switch(p.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:return[4,p.sent().json()];case 2:if(e=p.sent(),t=e.modelTopology,n=e.weightsManifest,null==t&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");if(null==n)return[3,4];for(o=e.weightsManifest,r=[],i=0,s=o;i<s.length;i++)u=s[i],r.push.apply(r,u.weights);return(l=this.path.substring(0,this.path.lastIndexOf(\"/\"))).endsWith(\"/\")||(l+=\"/\"),c=[],o.forEach(function(e){e.paths.forEach(function(e){c.push(l+e)})}),d=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(c,this.requestInit)];case 3:a=d.apply(void 0,[p.sent()]),p.label=4;case 4:return[2,{modelTopology:t,weightSpecs:r,weightData:a}]}})})},e.URL_SCHEMES=[\"http://\",\"https://\"],e}(),httpRequestRouter=function(e){if(ENV.get(\"IS_BROWSER\")){for(var t=0,n=BrowserHTTPRequest.URL_SCHEMES;t<n.length;t++){var r=n[t];if(e.startsWith(r))return browserHTTPRequest(e)}return null}return null};function browserHTTPRequest(e,t){return new BrowserHTTPRequest(e,t)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,copyModel=ModelManagement.copyModel,listModels=ModelManagement.listModels,moveModel=ModelManagement.moveModel,removeModel=ModelManagement.removeModel,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,copyModel:copyModel,decodeWeights:decodeWeights,encodeWeights:encodeWeights,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,listModels:listModels,loadWeights:loadWeights,moveModel:moveModel,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,removeModel:removeModel}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(e){this.getMap().classNameMap[e.className]=[e,e.fromConfig]},e}(),serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap}),WEBGL_ENVS=[{BACKEND:\"test-webgl\",WEBGL_RENDER_FLOAT32_ENABLED:!0,WEBGL_DOWNLOAD_FLOAT_ENABLED:!0,WEBGL_VERSION:1},{BACKEND:\"test-webgl\",WEBGL_RENDER_FLOAT32_ENABLED:!0,WEBGL_DOWNLOAD_FLOAT_ENABLED:!0,WEBGL_VERSION:2}],CPU_ENVS=[{BACKEND:\"test-cpu\"}],CHROME_CPU_ENVS=[{BACKEND:\"test-cpu\",IS_CHROME:!0}],NATIVE_ENV={},BROWSER_ENVS=WEBGL_ENVS.concat(CPU_ENVS),ALL_ENVS=[NATIVE_ENV].concat(BROWSER_ENVS);function expectArraysClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var r=e.constructor.name,a=t.constructor.name;if(r!==a)throw new Error(\"Arrays are of different type actual: \"+r+\" vs expected: \"+a)}var o,i;if(o=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,o.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+o.length+\" vs expected: \"+i.length+\".\\nActual:   \"+o+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=o[s],l=i[s];if(!areClose(u,Number(l),n))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+o+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,n))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,n){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function expectValuesInRange(e,t,n){var r;r=e instanceof Tensor?e.dataSync():e;for(var a=0;a<r.length;a++)if(r[a]<t||r[a]>n)throw new Error(\"Value out of range:\"+r[a]+\" low: \"+t+\", high: \"+n)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,CPU_ENVS:CPU_ENVS,CHROME_CPU_ENVS:CHROME_CPU_ENVS,NATIVE_ENV:NATIVE_ENV,BROWSER_ENVS:BROWSER_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.11.9\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),a=r.value,o=r.grads;return this.applyGradients(o),Object.keys(o).forEach(function(e){return o[e].dispose()}),t?a:(a.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},__decorate([doc({heading:\"Training\",subheading:\"Optimizers\"})],t.prototype,\"minimize\",null),t=__decorate([doc({heading:\"Training\",subheading:\"Classes\",namespace:\"train\"})],t)}(Serializable),DEFAULT_FLOAT32_EPSILON=1e-8,DEFAULT_FLOAT16_EPSILON=1e-4;function getOptimizerDefaultEpsilonValue(){return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?DEFAULT_FLOAT32_EPSILON:DEFAULT_FLOAT16_EPSILON}var AdadeltaOptimizer=function(e){function t(t,n,r){void 0===r&&(r=null);var a=e.call(this)||this;return a.learningRate=t,a.rho=n,a.epsilon=r,a.accumulatedGrads={},a.accumulatedUpdates={},a.c=keep(scalar(-t)),a.rhoScalar=keep(scalar(n)),a.oneMinusRho=keep(scalar(1-n)),null===r&&(r=getOptimizerDefaultEpsilonValue()),a.epsilonScalar=keep(scalar(r)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=zerosLike(a).variable(!1)})}if(null==r.accumulatedUpdates[n]){tidy(function(){t.accumulatedUpdates[n]=zerosLike(a).variable(!1)})}var o=e[n],i=r.accumulatedGrads[n],s=r.accumulatedUpdates[n];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(o.square())),r=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(o),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e),t.accumulatedUpdates[n].assign(u);var l=t.c.mul(r).add(a);a.assign(l)})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);SerializationMap.register(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,n){void 0===n&&(n=.1);var r=e.call(this)||this;r.learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads={},r.c=keep(scalar(-t));var a=getOptimizerDefaultEpsilonValue();return r.epsilon=keep(scalar(a)),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=fill(a.shape,t.initialAccumulatorValue).variable(!1)})}var o=e[n],i=r.accumulatedGrads[n];tidy(function(){var e=i.add(o.square());t.accumulatedGrads[n].assign(e);var r=t.c.mul(o.div(e.add(t.epsilon).sqrt())).add(a);a.assign(r)})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);SerializationMap.register(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,n,r,a){void 0===a&&(a=null);var o=e.call(this)||this;return o.learningRate=t,o.beta1=n,o.beta2=r,o.epsilon=a,o.accumulatedFirstMoment={},o.accumulatedSecondMoment={},o.c=keep(scalar(-t)),o.beta1Scalar=keep(scalar(n)),o.beta2Scalar=keep(scalar(r)),tidy(function(){o.accBeta1=scalar(n).variable(),o.accBeta2=scalar(r).variable()}),o.oneMinusBeta1=keep(scalar(1-n)),o.oneMinusBeta2=keep(scalar(1-r)),o.one=keep(scalar(1)),null===a&&(a=getOptimizerDefaultEpsilonValue()),o.epsScalar=keep(scalar(a)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.one.sub(t.accBeta2);for(var a in e){var o=ENV.engine.registeredVariables[a];if(null==t.accumulatedFirstMoment[a]){var i=!1;t.accumulatedFirstMoment[a]=zerosLike(o).variable(i)}if(null==t.accumulatedSecondMoment[a]){i=!1;t.accumulatedSecondMoment[a]=zerosLike(o).variable(i)}var s=e[a],u=t.accumulatedFirstMoment[a],l=t.accumulatedSecondMoment[a],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),d=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),p=c.div(n),h=d.div(r);t.accumulatedFirstMoment[a].assign(c),t.accumulatedSecondMoment[a].assign(d);var f=t.c.mul(p.div(t.epsScalar.add(h.sqrt()))).add(o);o.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);SerializationMap.register(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,n,r,a,o){void 0===a&&(a=null),void 0===o&&(o=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=a,i.decay=o,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(n)),i.beta2Scalar=keep(scalar(r)),i.decayScalar=keep(scalar(o)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(n).variable()}),i.oneMinusBeta1=keep(scalar(1-n)),i.one=keep(scalar(1)),null===a&&(a=getOptimizerDefaultEpsilonValue()),i.epsScalar=keep(scalar(a)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var a in e){var o=ENV.engine.registeredVariables[a];if(null==t.accumulatedFirstMoment[a]){var i=!1;t.accumulatedFirstMoment[a]=zerosLike(o).variable(i)}if(null==t.accumulatedWeightedInfNorm[a]){i=!1;t.accumulatedWeightedInfNorm[a]=zerosLike(o).variable(i)}var s=e[a],u=t.accumulatedFirstMoment[a],l=t.accumulatedWeightedInfNorm[a],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),d=t.beta2Scalar.mul(l),p=s.abs(),h=d.maximum(p);t.accumulatedFirstMoment[a].assign(c),t.accumulatedWeightedInfNorm[a].assign(h);var f=r.div(n).mul(c.div(t.epsScalar.add(h))).add(o);o.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);SerializationMap.register(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var n=e.call(this)||this;return n.learningRate=t,n.setLearningRate(t),n}return 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diff --git a/tictac/.cache/3893b1116f9917e5693c5d6b41a31232.json b/tictac/.cache/3893b1116f9917e5693c5d6b41a31232.json
new file mode 100644
index 00000000..bf9df805
--- /dev/null
+++ b/tictac/.cache/3893b1116f9917e5693c5d6b41a31232.json
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diff --git a/tictac/.cache/39ee3685bd62f014294bc726ba45d961.json b/tictac/.cache/39ee3685bd62f014294bc726ba45d961.json
new file mode 100644
index 00000000..5e75bbb2
--- /dev/null
+++ b/tictac/.cache/39ee3685bd62f014294bc726ba45d961.json
@@ -0,0 +1 @@
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break;\n                    case 3:\n                        m.unknownRank = r.bool();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        TensorShape.Dim = function () {\n\n            function Dim(p) {\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            Dim.prototype.size = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;\n            Dim.prototype.name = \"\";\n\n            Dim.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.TensorShape.Dim();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.size = r.int64();\n                            break;\n                        case 2:\n                            m.name = r.string();\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return Dim;\n        }();\n\n        return TensorShape;\n    }();\n\n    tensorflow.Tensor = function () {\n\n        function Tensor(p) {\n            this.floatVal = [];\n            this.doubleVal = [];\n            this.intVal = [];\n            this.stringVal = [];\n            this.scomplexVal = [];\n            this.int64Val = [];\n            this.boolVal = [];\n            this.uint32Val = [];\n            this.uint64Val = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        Tensor.prototype.dtype = 0;\n        Tensor.prototype.tensorShape = null;\n        Tensor.prototype.versionNumber = 0;\n        Tensor.prototype.tensorContent = $util.newBuffer([]);\n        Tensor.prototype.floatVal = $util.emptyArray;\n        Tensor.prototype.doubleVal = $util.emptyArray;\n        Tensor.prototype.intVal = $util.emptyArray;\n        Tensor.prototype.stringVal = $util.emptyArray;\n        Tensor.prototype.scomplexVal = $util.emptyArray;\n        Tensor.prototype.int64Val = $util.emptyArray;\n        Tensor.prototype.boolVal = $util.emptyArray;\n        Tensor.prototype.uint32Val = $util.emptyArray;\n        Tensor.prototype.uint64Val = $util.emptyArray;\n\n        Tensor.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.Tensor();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.dtype = r.int32();\n                        break;\n                    case 2:\n                        m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.versionNumber = r.int32();\n                        break;\n                    case 4:\n                        m.tensorContent = r.bytes();\n                        break;\n                    case 5:\n                        if (!(m.floatVal && m.floatVal.length)) m.floatVal = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.floatVal.push(r.float());\n                        } else m.floatVal.push(r.float());\n                        break;\n                    case 6:\n                        if (!(m.doubleVal && m.doubleVal.length)) m.doubleVal = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.doubleVal.push(r.double());\n                        } else m.doubleVal.push(r.double());\n                        break;\n                    case 7:\n                        if (!(m.intVal && m.intVal.length)) m.intVal = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.intVal.push(r.int32());\n                        } else m.intVal.push(r.int32());\n                        break;\n                    case 8:\n                        if (!(m.stringVal && m.stringVal.length)) m.stringVal = [];\n                        m.stringVal.push(r.bytes());\n                        break;\n                    case 9:\n                        if (!(m.scomplexVal && m.scomplexVal.length)) m.scomplexVal = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.scomplexVal.push(r.float());\n                        } else m.scomplexVal.push(r.float());\n                        break;\n                    case 10:\n                        if (!(m.int64Val && m.int64Val.length)) m.int64Val = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.int64Val.push(r.int64());\n                        } else m.int64Val.push(r.int64());\n                        break;\n                    case 11:\n                        if (!(m.boolVal && m.boolVal.length)) m.boolVal = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.boolVal.push(r.bool());\n                        } else m.boolVal.push(r.bool());\n                        break;\n                    case 16:\n                        if (!(m.uint32Val && m.uint32Val.length)) m.uint32Val = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.uint32Val.push(r.uint32());\n                        } else m.uint32Val.push(r.uint32());\n                        break;\n                    case 17:\n                        if (!(m.uint64Val && m.uint64Val.length)) m.uint64Val = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.uint64Val.push(r.uint64());\n                        } else m.uint64Val.push(r.uint64());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return Tensor;\n    }();\n\n    tensorflow.AttrValue = function () {\n\n        function AttrValue(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        AttrValue.prototype.list = null;\n        AttrValue.prototype.s = $util.newBuffer([]);\n        AttrValue.prototype.i = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;\n        AttrValue.prototype.f = 0;\n        AttrValue.prototype.b = false;\n        AttrValue.prototype.type = 0;\n        AttrValue.prototype.shape = null;\n        AttrValue.prototype.tensor = null;\n        AttrValue.prototype.placeholder = \"\";\n        AttrValue.prototype.func = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(AttrValue.prototype, \"value\", {\n            get: $util.oneOfGetter($oneOfFields = [\"list\", \"s\", \"i\", \"f\", \"b\", \"type\", \"shape\", \"tensor\", \"placeholder\", \"func\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        AttrValue.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.AttrValue();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.list = $root.tensorflow.AttrValue.ListValue.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.s = r.bytes();\n                        break;\n                    case 3:\n                        m.i = r.int64();\n                        break;\n                    case 4:\n                        m.f = r.float();\n                        break;\n                    case 5:\n                        m.b = r.bool();\n                        break;\n                    case 6:\n                        m.type = r.int32();\n                        break;\n                    case 7:\n                        m.shape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                        break;\n                    case 8:\n                        m.tensor = $root.tensorflow.Tensor.decode(r, r.uint32());\n                        break;\n                    case 9:\n                        m.placeholder = r.string();\n                        break;\n                    case 10:\n                        m.func = $root.tensorflow.NameAttrList.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        AttrValue.ListValue = function () {\n\n            function ListValue(p) {\n                this.s = [];\n                this.i = [];\n                this.f = [];\n                this.b = [];\n                this.type = [];\n                this.shape = [];\n                this.tensor = [];\n                this.func = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            ListValue.prototype.s = $util.emptyArray;\n            ListValue.prototype.i = $util.emptyArray;\n            ListValue.prototype.f = $util.emptyArray;\n            ListValue.prototype.b = $util.emptyArray;\n            ListValue.prototype.type = $util.emptyArray;\n            ListValue.prototype.shape = $util.emptyArray;\n            ListValue.prototype.tensor = $util.emptyArray;\n            ListValue.prototype.func = $util.emptyArray;\n\n            ListValue.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.AttrValue.ListValue();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 2:\n                            if (!(m.s && m.s.length)) m.s = [];\n                            m.s.push(r.bytes());\n                            break;\n                        case 3:\n                            if (!(m.i && m.i.length)) m.i = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.i.push(r.int64());\n                            } else m.i.push(r.int64());\n                            break;\n                        case 4:\n                            if (!(m.f && m.f.length)) m.f = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.f.push(r.float());\n                            } else m.f.push(r.float());\n                            break;\n                        case 5:\n                            if (!(m.b && m.b.length)) m.b = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.b.push(r.bool());\n                            } else m.b.push(r.bool());\n                            break;\n                        case 6:\n                            if (!(m.type && m.type.length)) m.type = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.type.push(r.int32());\n                            } else m.type.push(r.int32());\n                            break;\n                        case 7:\n                            if (!(m.shape && m.shape.length)) m.shape = [];\n                            m.shape.push($root.tensorflow.TensorShape.decode(r, r.uint32()));\n                            break;\n                        case 8:\n                            if (!(m.tensor && m.tensor.length)) m.tensor = [];\n                            m.tensor.push($root.tensorflow.Tensor.decode(r, r.uint32()));\n                            break;\n                        case 9:\n                            if (!(m.func && m.func.length)) m.func = [];\n                            m.func.push($root.tensorflow.NameAttrList.decode(r, r.uint32()));\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return ListValue;\n        }();\n\n        return AttrValue;\n    }();\n\n    tensorflow.NameAttrList = function () {\n\n        function NameAttrList(p) {\n            this.attr = {};\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        NameAttrList.prototype.name = \"\";\n        NameAttrList.prototype.attr = $util.emptyObject;\n\n        NameAttrList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.NameAttrList(),\n                k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        r.skip().pos++;\n                        if (m.attr === $util.emptyObject) m.attr = {};\n                        k = r.string();\n                        r.pos++;\n                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return NameAttrList;\n    }();\n\n    tensorflow.NodeDef = function () {\n\n        function NodeDef(p) {\n            this.input = [];\n            this.attr = {};\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        NodeDef.prototype.name = \"\";\n        NodeDef.prototype.op = \"\";\n        NodeDef.prototype.input = $util.emptyArray;\n        NodeDef.prototype.device = \"\";\n        NodeDef.prototype.attr = $util.emptyObject;\n\n        NodeDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.NodeDef(),\n                k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        m.op = r.string();\n                        break;\n                    case 3:\n                        if (!(m.input && m.input.length)) m.input = [];\n                        m.input.push(r.string());\n                        break;\n                    case 4:\n                        m.device = r.string();\n                        break;\n                    case 5:\n                        r.skip().pos++;\n                        if (m.attr === $util.emptyObject) m.attr = {};\n                        k = r.string();\n                        r.pos++;\n                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return NodeDef;\n    }();\n\n    tensorflow.VersionDef = function () {\n\n        function VersionDef(p) {\n            this.badConsumers = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        VersionDef.prototype.producer = 0;\n        VersionDef.prototype.minConsumer = 0;\n        VersionDef.prototype.badConsumers = $util.emptyArray;\n\n        VersionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.VersionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.producer = r.int32();\n                        break;\n                    case 2:\n                        m.minConsumer = r.int32();\n                        break;\n                    case 3:\n                        if (!(m.badConsumers && m.badConsumers.length)) m.badConsumers = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2) m.badConsumers.push(r.int32());\n                        } else m.badConsumers.push(r.int32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return VersionDef;\n    }();\n\n    tensorflow.GraphDef = function () {\n\n        function GraphDef(p) {\n            this.node = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        GraphDef.prototype.node = $util.emptyArray;\n        GraphDef.prototype.versions = null;\n        GraphDef.prototype.library = null;\n\n        GraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.GraphDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        if (!(m.node && m.node.length)) m.node = [];\n                        m.node.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                        break;\n                    case 4:\n                        m.versions = $root.tensorflow.VersionDef.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.library = $root.tensorflow.FunctionDefLibrary.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return GraphDef;\n    }();\n\n    tensorflow.CollectionDef = function () {\n\n        function CollectionDef(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        CollectionDef.prototype.nodeList = null;\n        CollectionDef.prototype.bytesList = null;\n        CollectionDef.prototype.int64List = null;\n        CollectionDef.prototype.floatList = null;\n        CollectionDef.prototype.anyList = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(CollectionDef.prototype, \"kind\", {\n            get: $util.oneOfGetter($oneOfFields = [\"nodeList\", \"bytesList\", \"int64List\", \"floatList\", \"anyList\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        CollectionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.CollectionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.nodeList = $root.tensorflow.CollectionDef.NodeList.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.bytesList = $root.tensorflow.CollectionDef.BytesList.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.int64List = $root.tensorflow.CollectionDef.Int64List.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        m.floatList = $root.tensorflow.CollectionDef.FloatList.decode(r, r.uint32());\n                        break;\n                    case 5:\n                        m.anyList = $root.tensorflow.CollectionDef.AnyList.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        CollectionDef.NodeList = function () {\n\n            function NodeList(p) {\n                this.value = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            NodeList.prototype.value = $util.emptyArray;\n\n            NodeList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.CollectionDef.NodeList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            if (!(m.value && m.value.length)) m.value = [];\n                            m.value.push(r.string());\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return NodeList;\n        }();\n\n        CollectionDef.BytesList = function () {\n\n            function BytesList(p) {\n                this.value = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            BytesList.prototype.value = $util.emptyArray;\n\n            BytesList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.CollectionDef.BytesList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            if (!(m.value && m.value.length)) m.value = [];\n                            m.value.push(r.bytes());\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return BytesList;\n        }();\n\n        CollectionDef.Int64List = function () {\n\n            function Int64List(p) {\n                this.value = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            Int64List.prototype.value = $util.emptyArray;\n\n            Int64List.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.CollectionDef.Int64List();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            if (!(m.value && m.value.length)) m.value = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.value.push(r.int64());\n                            } else m.value.push(r.int64());\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return Int64List;\n        }();\n\n        CollectionDef.FloatList = function () {\n\n            function FloatList(p) {\n                this.value = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            FloatList.prototype.value = $util.emptyArray;\n\n            FloatList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.CollectionDef.FloatList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            if (!(m.value && m.value.length)) m.value = [];\n                            if ((t & 7) === 2) {\n                                var c2 = r.uint32() + r.pos;\n                                while (r.pos < c2) m.value.push(r.float());\n                            } else m.value.push(r.float());\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return FloatList;\n        }();\n\n        CollectionDef.AnyList = function () {\n\n            function AnyList(p) {\n                this.value = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            AnyList.prototype.value = $util.emptyArray;\n\n            AnyList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.CollectionDef.AnyList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            if (!(m.value && m.value.length)) m.value = [];\n                            m.value.push($root.tensorflow.Any.decode(r, r.uint32()));\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return AnyList;\n        }();\n\n        return CollectionDef;\n    }();\n\n    tensorflow.SaverDef = function () {\n\n        function SaverDef(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        SaverDef.prototype.filenameTensorName = \"\";\n        SaverDef.prototype.saveTensorName = \"\";\n        SaverDef.prototype.restoreOpName = \"\";\n        SaverDef.prototype.maxToKeep = 0;\n        SaverDef.prototype.sharded = false;\n        SaverDef.prototype.keepCheckpointEveryNHours = 0;\n        SaverDef.prototype.version = 0;\n\n        SaverDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.SaverDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.filenameTensorName = r.string();\n                        break;\n                    case 2:\n                        m.saveTensorName = r.string();\n                        break;\n                    case 3:\n                        m.restoreOpName = r.string();\n                        break;\n                    case 4:\n                        m.maxToKeep = r.int32();\n                        break;\n                    case 5:\n                        m.sharded = r.bool();\n                        break;\n                    case 6:\n                        m.keepCheckpointEveryNHours = r.float();\n                        break;\n                    case 7:\n                        m.version = r.int32();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        SaverDef.CheckpointFormatVersion = function () {\n            const valuesById = {},\n                  values = Object.create(valuesById);\n            values[valuesById[0] = \"LEGACY\"] = 0;\n            values[valuesById[1] = \"V1\"] = 1;\n            values[valuesById[2] = \"V2\"] = 2;\n            return values;\n        }();\n\n        return SaverDef;\n    }();\n\n    tensorflow.TensorInfo = function () {\n\n        function TensorInfo(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        TensorInfo.prototype.name = \"\";\n        TensorInfo.prototype.cooSparse = null;\n        TensorInfo.prototype.dtype = 0;\n        TensorInfo.prototype.tensorShape = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(TensorInfo.prototype, \"encoding\", {\n            get: $util.oneOfGetter($oneOfFields = [\"name\", \"cooSparse\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        TensorInfo.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.TensorInfo();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 4:\n                        m.cooSparse = $root.tensorflow.TensorInfo.CooSparse.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.dtype = r.int32();\n                        break;\n                    case 3:\n                        m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        TensorInfo.CooSparse = function () {\n\n            function CooSparse(p) {\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            CooSparse.prototype.valuesTensorName = \"\";\n            CooSparse.prototype.indicesTensorName = \"\";\n            CooSparse.prototype.denseShapeTensorName = \"\";\n\n            CooSparse.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.TensorInfo.CooSparse();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.valuesTensorName = r.string();\n                            break;\n                        case 2:\n                            m.indicesTensorName = r.string();\n                            break;\n                        case 3:\n                            m.denseShapeTensorName = r.string();\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return CooSparse;\n        }();\n\n        return TensorInfo;\n    }();\n\n    tensorflow.SignatureDef = function () {\n\n        function SignatureDef(p) {\n            this.inputs = {};\n            this.outputs = {};\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        SignatureDef.prototype.inputs = $util.emptyObject;\n        SignatureDef.prototype.outputs = $util.emptyObject;\n        SignatureDef.prototype.methodName = \"\";\n\n        SignatureDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.SignatureDef(),\n                k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        r.skip().pos++;\n                        if (m.inputs === $util.emptyObject) m.inputs = {};\n                        k = r.string();\n                        r.pos++;\n                        m.inputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        r.skip().pos++;\n                        if (m.outputs === $util.emptyObject) m.outputs = {};\n                        k = r.string();\n                        r.pos++;\n                        m.outputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.methodName = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return SignatureDef;\n    }();\n\n    tensorflow.AssetFileDef = function () {\n\n        function AssetFileDef(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        AssetFileDef.prototype.tensorInfo = null;\n        AssetFileDef.prototype.filename = \"\";\n\n        AssetFileDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.AssetFileDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.tensorInfo = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.filename = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return AssetFileDef;\n    }();\n\n    tensorflow.OpDef = function () {\n\n        function OpDef(p) {\n            this.inputArg = [];\n            this.outputArg = [];\n            this.attr = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        OpDef.prototype.name = \"\";\n        OpDef.prototype.inputArg = $util.emptyArray;\n        OpDef.prototype.outputArg = $util.emptyArray;\n        OpDef.prototype.attr = $util.emptyArray;\n        OpDef.prototype.deprecation = null;\n        OpDef.prototype.summary = \"\";\n        OpDef.prototype.description = \"\";\n        OpDef.prototype.isCommutative = false;\n        OpDef.prototype.isAggregate = false;\n        OpDef.prototype.isStateful = false;\n        OpDef.prototype.allowsUninitializedInput = false;\n\n        OpDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.OpDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        if (!(m.inputArg && m.inputArg.length)) m.inputArg = [];\n                        m.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                        break;\n                    case 3:\n                        if (!(m.outputArg && m.outputArg.length)) m.outputArg = [];\n                        m.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                        break;\n                    case 4:\n                        if (!(m.attr && m.attr.length)) m.attr = [];\n                        m.attr.push($root.tensorflow.OpDef.AttrDef.decode(r, r.uint32()));\n                        break;\n                    case 8:\n                        m.deprecation = $root.tensorflow.OpDef.OpDeprecation.decode(r, r.uint32());\n                        break;\n                    case 5:\n                        m.summary = r.string();\n                        break;\n                    case 6:\n                        m.description = r.string();\n                        break;\n                    case 18:\n                        m.isCommutative = r.bool();\n                        break;\n                    case 16:\n                        m.isAggregate = r.bool();\n                        break;\n                    case 17:\n                        m.isStateful = r.bool();\n                        break;\n                    case 19:\n                        m.allowsUninitializedInput = r.bool();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        OpDef.ArgDef = function () {\n\n            function ArgDef(p) {\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            ArgDef.prototype.name = \"\";\n            ArgDef.prototype.description = \"\";\n            ArgDef.prototype.type = 0;\n            ArgDef.prototype.typeAttr = \"\";\n            ArgDef.prototype.numberAttr = \"\";\n            ArgDef.prototype.typeListAttr = \"\";\n            ArgDef.prototype.isRef = false;\n\n            ArgDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.OpDef.ArgDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.name = r.string();\n                            break;\n                        case 2:\n                            m.description = r.string();\n                            break;\n                        case 3:\n                            m.type = r.int32();\n                            break;\n                        case 4:\n                            m.typeAttr = r.string();\n                            break;\n                        case 5:\n                            m.numberAttr = r.string();\n                            break;\n                        case 6:\n                            m.typeListAttr = r.string();\n                            break;\n                        case 16:\n                            m.isRef = r.bool();\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return ArgDef;\n        }();\n\n        OpDef.AttrDef = function () {\n\n            function AttrDef(p) {\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            AttrDef.prototype.name = \"\";\n            AttrDef.prototype.type = \"\";\n            AttrDef.prototype.defaultValue = null;\n            AttrDef.prototype.description = \"\";\n            AttrDef.prototype.hasMinimum = false;\n            AttrDef.prototype.minimum = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;\n            AttrDef.prototype.allowedValues = null;\n\n            AttrDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.OpDef.AttrDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.name = r.string();\n                            break;\n                        case 2:\n                            m.type = r.string();\n                            break;\n                        case 3:\n                            m.defaultValue = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                            break;\n                        case 4:\n                            m.description = r.string();\n                            break;\n                        case 5:\n                            m.hasMinimum = r.bool();\n                            break;\n                        case 6:\n                            m.minimum = r.int64();\n                            break;\n                        case 7:\n                            m.allowedValues = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return AttrDef;\n        }();\n\n        OpDef.OpDeprecation = function () {\n\n            function OpDeprecation(p) {\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            OpDeprecation.prototype.version = 0;\n            OpDeprecation.prototype.explanation = \"\";\n\n            OpDeprecation.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.OpDef.OpDeprecation();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.version = r.int32();\n                            break;\n                        case 2:\n                            m.explanation = r.string();\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return OpDeprecation;\n        }();\n\n        return OpDef;\n    }();\n\n    tensorflow.OpList = function () {\n\n        function OpList(p) {\n            this.op = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        OpList.prototype.op = $util.emptyArray;\n\n        OpList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.OpList();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        if (!(m.op && m.op.length)) m.op = [];\n                        m.op.push($root.tensorflow.OpDef.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return OpList;\n    }();\n\n    tensorflow.MetaGraphDef = function () {\n\n        function MetaGraphDef(p) {\n            this.collectionDef = {};\n            this.signatureDef = {};\n            this.assetFileDef = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        MetaGraphDef.prototype.metaInfoDef = null;\n        MetaGraphDef.prototype.graphDef = null;\n        MetaGraphDef.prototype.saverDef = null;\n        MetaGraphDef.prototype.collectionDef = $util.emptyObject;\n        MetaGraphDef.prototype.signatureDef = $util.emptyObject;\n        MetaGraphDef.prototype.assetFileDef = $util.emptyArray;\n\n        MetaGraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.MetaGraphDef(),\n                k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.metaInfoDef = $root.tensorflow.MetaGraphDef.MetaInfoDef.decode(r, r.uint32());\n                        break;\n                    case 2:\n                        m.graphDef = $root.tensorflow.GraphDef.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.saverDef = $root.tensorflow.SaverDef.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        r.skip().pos++;\n                        if (m.collectionDef === $util.emptyObject) m.collectionDef = {};\n                        k = r.string();\n                        r.pos++;\n                        m.collectionDef[k] = $root.tensorflow.CollectionDef.decode(r, r.uint32());\n                        break;\n                    case 5:\n                        r.skip().pos++;\n                        if (m.signatureDef === $util.emptyObject) m.signatureDef = {};\n                        k = r.string();\n                        r.pos++;\n                        m.signatureDef[k] = $root.tensorflow.SignatureDef.decode(r, r.uint32());\n                        break;\n                    case 6:\n                        if (!(m.assetFileDef && m.assetFileDef.length)) m.assetFileDef = [];\n                        m.assetFileDef.push($root.tensorflow.AssetFileDef.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        MetaGraphDef.MetaInfoDef = function () {\n\n            function MetaInfoDef(p) {\n                this.tags = [];\n                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n            }\n\n            MetaInfoDef.prototype.metaGraphVersion = \"\";\n            MetaInfoDef.prototype.strippedOpList = null;\n            MetaInfoDef.prototype.anyInfo = null;\n            MetaInfoDef.prototype.tags = $util.emptyArray;\n            MetaInfoDef.prototype.tensorflowVersion = \"\";\n            MetaInfoDef.prototype.tensorflowGitVersion = \"\";\n\n            MetaInfoDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader)) r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l,\n                    m = new $root.tensorflow.MetaGraphDef.MetaInfoDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                        case 1:\n                            m.metaGraphVersion = r.string();\n                            break;\n                        case 2:\n                            m.strippedOpList = $root.tensorflow.OpList.decode(r, r.uint32());\n                            break;\n                        case 3:\n                            m.anyInfo = $root.tensorflow.Any.decode(r, r.uint32());\n                            break;\n                        case 4:\n                            if (!(m.tags && m.tags.length)) m.tags = [];\n                            m.tags.push(r.string());\n                            break;\n                        case 5:\n                            m.tensorflowVersion = r.string();\n                            break;\n                        case 6:\n                            m.tensorflowGitVersion = r.string();\n                            break;\n                        default:\n                            r.skipType(t & 7);\n                            break;\n                    }\n                }\n                return m;\n            };\n\n            return MetaInfoDef;\n        }();\n\n        return MetaGraphDef;\n    }();\n\n    tensorflow.SavedModel = function () {\n\n        function SavedModel(p) {\n            this.metaGraphs = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        SavedModel.prototype.savedModelSchemaVersion = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;\n        SavedModel.prototype.metaGraphs = $util.emptyArray;\n\n        SavedModel.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.SavedModel();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.savedModelSchemaVersion = r.int64();\n                        break;\n                    case 2:\n                        if (!(m.metaGraphs && m.metaGraphs.length)) m.metaGraphs = [];\n                        m.metaGraphs.push($root.tensorflow.MetaGraphDef.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return SavedModel;\n    }();\n\n    tensorflow.FunctionDefLibrary = function () {\n\n        function FunctionDefLibrary(p) {\n            this[\"function\"] = [];\n            this.gradient = [];\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDefLibrary.prototype[\"function\"] = $util.emptyArray;\n        FunctionDefLibrary.prototype.gradient = $util.emptyArray;\n\n        FunctionDefLibrary.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.FunctionDefLibrary();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        if (!(m[\"function\"] && m[\"function\"].length)) m[\"function\"] = [];\n                        m[\"function\"].push($root.tensorflow.FunctionDef.decode(r, r.uint32()));\n                        break;\n                    case 2:\n                        if (!(m.gradient && m.gradient.length)) m.gradient = [];\n                        m.gradient.push($root.tensorflow.GradientDef.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDefLibrary;\n    }();\n\n    tensorflow.FunctionDef = function () {\n\n        function FunctionDef(p) {\n            this.attr = {};\n            this.nodeDef = [];\n            this.ret = {};\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDef.prototype.signature = null;\n        FunctionDef.prototype.attr = $util.emptyObject;\n        FunctionDef.prototype.nodeDef = $util.emptyArray;\n        FunctionDef.prototype.ret = $util.emptyObject;\n\n        FunctionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.FunctionDef(),\n                k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.signature = $root.tensorflow.OpDef.decode(r, r.uint32());\n                        break;\n                    case 5:\n                        r.skip().pos++;\n                        if (m.attr === $util.emptyObject) m.attr = {};\n                        k = r.string();\n                        r.pos++;\n                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        if (!(m.nodeDef && m.nodeDef.length)) m.nodeDef = [];\n                        m.nodeDef.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                        break;\n                    case 4:\n                        r.skip().pos++;\n                        if (m.ret === $util.emptyObject) m.ret = {};\n                        k = r.string();\n                        r.pos++;\n                        m.ret[k] = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDef;\n    }();\n\n    tensorflow.GradientDef = function () {\n\n        function GradientDef(p) {\n            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];\n        }\n\n        GradientDef.prototype.functionName = \"\";\n        GradientDef.prototype.gradientFunc = \"\";\n\n        GradientDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader)) r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l,\n                m = new $root.tensorflow.GradientDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                    case 1:\n                        m.functionName = r.string();\n                        break;\n                    case 2:\n                        m.gradientFunc = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                }\n            }\n            return m;\n        };\n\n        return GradientDef;\n    }();\n\n    return tensorflow;\n}();\n\nexports.default = 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block-scoped-var, no-redeclare, no-control-regex, no-prototype-builtins*/\nimport * as $protobuf from \"protobufjs/minimal\";\n\nconst $Reader = $protobuf.Reader, $util = $protobuf.util;\n\nconst $root = $protobuf.roots[\"default\"] || ($protobuf.roots[\"default\"] = {});\n\nexport const tensorflow = $root.tensorflow = (function() {\n\n    const tensorflow = {};\n\n    tensorflow.Any = (function() {\n\n        function Any(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        Any.prototype.typeUrl = \"\";\n        Any.prototype.value = $util.newBuffer([]);\n\n        Any.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.Any();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.typeUrl = r.string();\n                    break;\n                case 2:\n                    m.value = r.bytes();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return Any;\n    })();\n\n    tensorflow.DataType = (function() {\n        const valuesById = {}, values = Object.create(valuesById);\n        values[valuesById[0] = \"DT_INVALID\"] = 0;\n        values[valuesById[1] = \"DT_FLOAT\"] = 1;\n        values[valuesById[2] = \"DT_DOUBLE\"] = 2;\n        values[valuesById[3] = \"DT_INT32\"] = 3;\n        values[valuesById[4] = \"DT_UINT8\"] = 4;\n        values[valuesById[5] = \"DT_INT16\"] = 5;\n        values[valuesById[6] = \"DT_INT8\"] = 6;\n        values[valuesById[7] = \"DT_STRING\"] = 7;\n        values[valuesById[8] = \"DT_COMPLEX64\"] = 8;\n        values[valuesById[9] = \"DT_INT64\"] = 9;\n        values[valuesById[10] = \"DT_BOOL\"] = 10;\n        values[valuesById[11] = \"DT_QINT8\"] = 11;\n        values[valuesById[12] = \"DT_QUINT8\"] = 12;\n        values[valuesById[13] = \"DT_QINT32\"] = 13;\n        values[valuesById[14] = \"DT_BFLOAT16\"] = 14;\n        values[valuesById[101] = \"DT_FLOAT_REF\"] = 101;\n        values[valuesById[102] = \"DT_DOUBLE_REF\"] = 102;\n        values[valuesById[103] = \"DT_INT32_REF\"] = 103;\n        values[valuesById[104] = \"DT_UINT8_REF\"] = 104;\n        values[valuesById[105] = \"DT_INT16_REF\"] = 105;\n        values[valuesById[106] = \"DT_INT8_REF\"] = 106;\n        values[valuesById[107] = \"DT_STRING_REF\"] = 107;\n        values[valuesById[108] = \"DT_COMPLEX64_REF\"] = 108;\n        values[valuesById[109] = \"DT_INT64_REF\"] = 109;\n        values[valuesById[110] = \"DT_BOOL_REF\"] = 110;\n        values[valuesById[111] = \"DT_QINT8_REF\"] = 111;\n        values[valuesById[112] = \"DT_QUINT8_REF\"] = 112;\n        values[valuesById[113] = \"DT_QINT32_REF\"] = 113;\n        values[valuesById[114] = \"DT_BFLOAT16_REF\"] = 114;\n        return values;\n    })();\n\n    tensorflow.TensorShape = (function() {\n\n        function TensorShape(p) {\n            this.dim = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        TensorShape.prototype.dim = $util.emptyArray;\n        TensorShape.prototype.unknownRank = false;\n\n        TensorShape.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorShape();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 2:\n                    if (!(m.dim && m.dim.length))\n                        m.dim = [];\n                    m.dim.push($root.tensorflow.TensorShape.Dim.decode(r, r.uint32()));\n                    break;\n                case 3:\n                    m.unknownRank = r.bool();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        TensorShape.Dim = (function() {\n\n            function Dim(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            Dim.prototype.size = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n            Dim.prototype.name = \"\";\n\n            Dim.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorShape.Dim();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.size = r.int64();\n                        break;\n                    case 2:\n                        m.name = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return Dim;\n        })();\n\n        return TensorShape;\n    })();\n\n    tensorflow.Tensor = (function() {\n\n        function Tensor(p) {\n            this.floatVal = [];\n            this.doubleVal = [];\n            this.intVal = [];\n            this.stringVal = [];\n            this.scomplexVal = [];\n            this.int64Val = [];\n            this.boolVal = [];\n            this.uint32Val = [];\n            this.uint64Val = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        Tensor.prototype.dtype = 0;\n        Tensor.prototype.tensorShape = null;\n        Tensor.prototype.versionNumber = 0;\n        Tensor.prototype.tensorContent = $util.newBuffer([]);\n        Tensor.prototype.floatVal = $util.emptyArray;\n        Tensor.prototype.doubleVal = $util.emptyArray;\n        Tensor.prototype.intVal = $util.emptyArray;\n        Tensor.prototype.stringVal = $util.emptyArray;\n        Tensor.prototype.scomplexVal = $util.emptyArray;\n        Tensor.prototype.int64Val = $util.emptyArray;\n        Tensor.prototype.boolVal = $util.emptyArray;\n        Tensor.prototype.uint32Val = $util.emptyArray;\n        Tensor.prototype.uint64Val = 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r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.floatVal.push(r.float());\n                    } else\n                        m.floatVal.push(r.float());\n                    break;\n                case 6:\n                    if (!(m.doubleVal && m.doubleVal.length))\n                        m.doubleVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.doubleVal.push(r.double());\n                    } else\n                        m.doubleVal.push(r.double());\n                    break;\n                case 7:\n                    if (!(m.intVal && m.intVal.length))\n                        m.intVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.intVal.push(r.int32());\n                    } else\n                        m.intVal.push(r.int32());\n                    break;\n                case 8:\n                    if (!(m.stringVal && m.stringVal.length))\n                        m.stringVal = [];\n                    m.stringVal.push(r.bytes());\n                    break;\n                case 9:\n                    if (!(m.scomplexVal && m.scomplexVal.length))\n                        m.scomplexVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.scomplexVal.push(r.float());\n                    } else\n                        m.scomplexVal.push(r.float());\n                    break;\n                case 10:\n                    if (!(m.int64Val && m.int64Val.length))\n                        m.int64Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.int64Val.push(r.int64());\n                    } else\n                        m.int64Val.push(r.int64());\n                    break;\n                case 11:\n                    if (!(m.boolVal && m.boolVal.length))\n                        m.boolVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.boolVal.push(r.bool());\n                    } else\n                        m.boolVal.push(r.bool());\n                    break;\n                case 16:\n                    if (!(m.uint32Val && m.uint32Val.length))\n                        m.uint32Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.uint32Val.push(r.uint32());\n                    } else\n                        m.uint32Val.push(r.uint32());\n                    break;\n                case 17:\n                    if (!(m.uint64Val && m.uint64Val.length))\n                        m.uint64Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.uint64Val.push(r.uint64());\n                    } else\n                        m.uint64Val.push(r.uint64());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return Tensor;\n    })();\n\n    tensorflow.AttrValue = (function() {\n\n        function AttrValue(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        AttrValue.prototype.list = null;\n        AttrValue.prototype.s = $util.newBuffer([]);\n        AttrValue.prototype.i = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n        AttrValue.prototype.f = 0;\n        AttrValue.prototype.b = false;\n        AttrValue.prototype.type = 0;\n        AttrValue.prototype.shape = null;\n        AttrValue.prototype.tensor = null;\n        AttrValue.prototype.placeholder = \"\";\n        AttrValue.prototype.func = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(AttrValue.prototype, \"value\", {\n            get: $util.oneOfGetter($oneOfFields = [\"list\", \"s\", \"i\", \"f\", \"b\", \"type\", \"shape\", \"tensor\", \"placeholder\", \"func\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        AttrValue.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AttrValue();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.list = $root.tensorflow.AttrValue.ListValue.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.s = r.bytes();\n                    break;\n                case 3:\n                    m.i = r.int64();\n                    break;\n                case 4:\n                    m.f = r.float();\n                    break;\n                case 5:\n                    m.b = r.bool();\n                    break;\n                case 6:\n                    m.type = r.int32();\n                    break;\n                case 7:\n                    m.shape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                    break;\n                case 8:\n                    m.tensor = $root.tensorflow.Tensor.decode(r, r.uint32());\n                    break;\n                case 9:\n                    m.placeholder = r.string();\n                    break;\n                case 10:\n                    m.func = $root.tensorflow.NameAttrList.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        AttrValue.ListValue = (function() {\n\n            function ListValue(p) {\n                this.s = [];\n                this.i = [];\n                this.f = [];\n                this.b = [];\n                this.type = [];\n                this.shape = [];\n                this.tensor = [];\n                this.func = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            ListValue.prototype.s = $util.emptyArray;\n            ListValue.prototype.i = $util.emptyArray;\n            ListValue.prototype.f = $util.emptyArray;\n            ListValue.prototype.b = $util.emptyArray;\n            ListValue.prototype.type = $util.emptyArray;\n            ListValue.prototype.shape = $util.emptyArray;\n            ListValue.prototype.tensor = $util.emptyArray;\n            ListValue.prototype.func = $util.emptyArray;\n\n            ListValue.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AttrValue.ListValue();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 2:\n                        if (!(m.s && m.s.length))\n                            m.s = [];\n                        m.s.push(r.bytes());\n                        break;\n                    case 3:\n                        if (!(m.i && m.i.length))\n                            m.i = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.i.push(r.int64());\n                        } else\n                            m.i.push(r.int64());\n                        break;\n                    case 4:\n                        if (!(m.f && m.f.length))\n                            m.f = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.f.push(r.float());\n                        } else\n                            m.f.push(r.float());\n                        break;\n                    case 5:\n                        if (!(m.b && m.b.length))\n                            m.b = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.b.push(r.bool());\n                        } else\n                            m.b.push(r.bool());\n                        break;\n                    case 6:\n                        if (!(m.type && m.type.length))\n                            m.type = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.type.push(r.int32());\n                        } else\n                            m.type.push(r.int32());\n                        break;\n                    case 7:\n                        if (!(m.shape && m.shape.length))\n                            m.shape = [];\n                        m.shape.push($root.tensorflow.TensorShape.decode(r, r.uint32()));\n                        break;\n                    case 8:\n                        if (!(m.tensor && m.tensor.length))\n                            m.tensor = [];\n                        m.tensor.push($root.tensorflow.Tensor.decode(r, r.uint32()));\n                        break;\n                    case 9:\n                        if (!(m.func && m.func.length))\n                            m.func = [];\n                        m.func.push($root.tensorflow.NameAttrList.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return ListValue;\n        })();\n\n        return AttrValue;\n    })();\n\n    tensorflow.NameAttrList = (function() {\n\n        function NameAttrList(p) {\n            this.attr = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        NameAttrList.prototype.name = \"\";\n        NameAttrList.prototype.attr = $util.emptyObject;\n\n        NameAttrList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.NameAttrList(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return NameAttrList;\n    })();\n\n    tensorflow.NodeDef = (function() {\n\n        function NodeDef(p) {\n            this.input = [];\n            this.attr = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        NodeDef.prototype.name = \"\";\n        NodeDef.prototype.op = \"\";\n        NodeDef.prototype.input = $util.emptyArray;\n        NodeDef.prototype.device = \"\";\n        NodeDef.prototype.attr = $util.emptyObject;\n\n        NodeDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.NodeDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    m.op = r.string();\n                    break;\n                case 3:\n                    if (!(m.input && m.input.length))\n                        m.input = [];\n                    m.input.push(r.string());\n                    break;\n                case 4:\n                    m.device = r.string();\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return NodeDef;\n    })();\n\n    tensorflow.VersionDef = (function() {\n\n        function VersionDef(p) {\n            this.badConsumers = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        VersionDef.prototype.producer = 0;\n        VersionDef.prototype.minConsumer = 0;\n        VersionDef.prototype.badConsumers = $util.emptyArray;\n\n        VersionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.VersionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.producer = r.int32();\n                    break;\n                case 2:\n                    m.minConsumer = r.int32();\n                    break;\n                case 3:\n                    if (!(m.badConsumers && m.badConsumers.length))\n                        m.badConsumers = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.badConsumers.push(r.int32());\n                    } else\n                        m.badConsumers.push(r.int32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return VersionDef;\n    })();\n\n    tensorflow.GraphDef = (function() {\n\n        function GraphDef(p) {\n            this.node = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        GraphDef.prototype.node = $util.emptyArray;\n        GraphDef.prototype.versions = null;\n        GraphDef.prototype.library = null;\n\n        GraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.GraphDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m.node && m.node.length))\n                        m.node = [];\n                    m.node.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    m.versions = $root.tensorflow.VersionDef.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.library = $root.tensorflow.FunctionDefLibrary.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return GraphDef;\n    })();\n\n    tensorflow.CollectionDef = (function() {\n\n        function CollectionDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        CollectionDef.prototype.nodeList = null;\n        CollectionDef.prototype.bytesList = null;\n        CollectionDef.prototype.int64List = null;\n        CollectionDef.prototype.floatList = null;\n        CollectionDef.prototype.anyList = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(CollectionDef.prototype, \"kind\", {\n            get: $util.oneOfGetter($oneOfFields = [\"nodeList\", \"bytesList\", \"int64List\", \"floatList\", \"anyList\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        CollectionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.nodeList = $root.tensorflow.CollectionDef.NodeList.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.bytesList = $root.tensorflow.CollectionDef.BytesList.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.int64List = $root.tensorflow.CollectionDef.Int64List.decode(r, r.uint32());\n                    break;\n                case 4:\n                    m.floatList = $root.tensorflow.CollectionDef.FloatList.decode(r, r.uint32());\n                    break;\n                case 5:\n                    m.anyList = $root.tensorflow.CollectionDef.AnyList.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        CollectionDef.NodeList = (function() {\n\n            function NodeList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            NodeList.prototype.value = $util.emptyArray;\n\n            NodeList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.NodeList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push(r.string());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return NodeList;\n        })();\n\n        CollectionDef.BytesList = (function() {\n\n            function BytesList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            BytesList.prototype.value = $util.emptyArray;\n\n            BytesList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.BytesList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push(r.bytes());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return BytesList;\n        })();\n\n        CollectionDef.Int64List = (function() {\n\n            function Int64List(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            Int64List.prototype.value = $util.emptyArray;\n\n            Int64List.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.Int64List();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.value.push(r.int64());\n                        } else\n                            m.value.push(r.int64());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return Int64List;\n        })();\n\n        CollectionDef.FloatList = (function() {\n\n            function FloatList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            FloatList.prototype.value = $util.emptyArray;\n\n            FloatList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.FloatList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.value.push(r.float());\n                        } else\n                            m.value.push(r.float());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return FloatList;\n        })();\n\n        CollectionDef.AnyList = (function() {\n\n            function AnyList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            AnyList.prototype.value = $util.emptyArray;\n\n            AnyList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.AnyList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push($root.tensorflow.Any.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return AnyList;\n        })();\n\n        return CollectionDef;\n    })();\n\n    tensorflow.SaverDef = (function() {\n\n        function SaverDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SaverDef.prototype.filenameTensorName = \"\";\n        SaverDef.prototype.saveTensorName = \"\";\n        SaverDef.prototype.restoreOpName = \"\";\n        SaverDef.prototype.maxToKeep = 0;\n        SaverDef.prototype.sharded = false;\n        SaverDef.prototype.keepCheckpointEveryNHours = 0;\n        SaverDef.prototype.version = 0;\n\n        SaverDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SaverDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.filenameTensorName = r.string();\n                    break;\n                case 2:\n                    m.saveTensorName = r.string();\n                    break;\n                case 3:\n                    m.restoreOpName = r.string();\n                    break;\n                case 4:\n                    m.maxToKeep = r.int32();\n                    break;\n                case 5:\n                    m.sharded = r.bool();\n                    break;\n                case 6:\n                    m.keepCheckpointEveryNHours = r.float();\n                    break;\n                case 7:\n                    m.version = r.int32();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        SaverDef.CheckpointFormatVersion = (function() {\n            const valuesById = {}, values = Object.create(valuesById);\n            values[valuesById[0] = \"LEGACY\"] = 0;\n            values[valuesById[1] = \"V1\"] = 1;\n            values[valuesById[2] = \"V2\"] = 2;\n            return values;\n        })();\n\n        return SaverDef;\n    })();\n\n    tensorflow.TensorInfo = (function() {\n\n        function TensorInfo(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        TensorInfo.prototype.name = \"\";\n        TensorInfo.prototype.cooSparse = null;\n        TensorInfo.prototype.dtype = 0;\n        TensorInfo.prototype.tensorShape = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(TensorInfo.prototype, \"encoding\", {\n            get: $util.oneOfGetter($oneOfFields = [\"name\", \"cooSparse\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        TensorInfo.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorInfo();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 4:\n                    m.cooSparse = $root.tensorflow.TensorInfo.CooSparse.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.dtype = r.int32();\n                    break;\n                case 3:\n                    m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        TensorInfo.CooSparse = (function() {\n\n            function CooSparse(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            CooSparse.prototype.valuesTensorName = \"\";\n            CooSparse.prototype.indicesTensorName = \"\";\n            CooSparse.prototype.denseShapeTensorName = \"\";\n\n            CooSparse.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorInfo.CooSparse();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.valuesTensorName = r.string();\n                        break;\n                    case 2:\n                        m.indicesTensorName = r.string();\n                        break;\n                    case 3:\n                        m.denseShapeTensorName = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return CooSparse;\n        })();\n\n        return TensorInfo;\n    })();\n\n    tensorflow.SignatureDef = (function() {\n\n        function SignatureDef(p) {\n            this.inputs = {};\n            this.outputs = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SignatureDef.prototype.inputs = $util.emptyObject;\n        SignatureDef.prototype.outputs = $util.emptyObject;\n        SignatureDef.prototype.methodName = \"\";\n\n        SignatureDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SignatureDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    r.skip().pos++;\n                    if (m.inputs === $util.emptyObject)\n                        m.inputs = {};\n                    k = r.string();\n                    r.pos++;\n                    m.inputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 2:\n                    r.skip().pos++;\n                    if (m.outputs === $util.emptyObject)\n                        m.outputs = {};\n                    k = r.string();\n                    r.pos++;\n                    m.outputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.methodName = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return SignatureDef;\n    })();\n\n    tensorflow.AssetFileDef = (function() {\n\n        function AssetFileDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        AssetFileDef.prototype.tensorInfo = null;\n        AssetFileDef.prototype.filename = \"\";\n\n        AssetFileDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AssetFileDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.tensorInfo = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.filename = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return AssetFileDef;\n    })();\n\n    tensorflow.OpDef = (function() {\n\n        function OpDef(p) {\n            this.inputArg = [];\n            this.outputArg = [];\n            this.attr = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        OpDef.prototype.name = \"\";\n        OpDef.prototype.inputArg = $util.emptyArray;\n        OpDef.prototype.outputArg = $util.emptyArray;\n        OpDef.prototype.attr = $util.emptyArray;\n        OpDef.prototype.deprecation = null;\n        OpDef.prototype.summary = \"\";\n        OpDef.prototype.description = \"\";\n        OpDef.prototype.isCommutative = false;\n        OpDef.prototype.isAggregate = false;\n        OpDef.prototype.isStateful = false;\n        OpDef.prototype.allowsUninitializedInput = false;\n\n        OpDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    if (!(m.inputArg && m.inputArg.length))\n                        m.inputArg = [];\n                    m.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                    break;\n                case 3:\n                    if (!(m.outputArg && m.outputArg.length))\n                        m.outputArg = [];\n                    m.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    if (!(m.attr && m.attr.length))\n                        m.attr = [];\n                    m.attr.push($root.tensorflow.OpDef.AttrDef.decode(r, r.uint32()));\n                    break;\n                case 8:\n                    m.deprecation = $root.tensorflow.OpDef.OpDeprecation.decode(r, r.uint32());\n                    break;\n                case 5:\n                    m.summary = r.string();\n                    break;\n                case 6:\n                    m.description = r.string();\n                    break;\n                case 18:\n                    m.isCommutative = r.bool();\n                    break;\n                case 16:\n                    m.isAggregate = r.bool();\n                    break;\n                case 17:\n                    m.isStateful = r.bool();\n                    break;\n                case 19:\n                    m.allowsUninitializedInput = r.bool();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        OpDef.ArgDef = (function() {\n\n            function ArgDef(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            ArgDef.prototype.name = \"\";\n            ArgDef.prototype.description = \"\";\n            ArgDef.prototype.type = 0;\n            ArgDef.prototype.typeAttr = \"\";\n            ArgDef.prototype.numberAttr = \"\";\n            ArgDef.prototype.typeListAttr = \"\";\n            ArgDef.prototype.isRef = false;\n\n            ArgDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.ArgDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        m.description = r.string();\n                        break;\n                    case 3:\n                        m.type = r.int32();\n                        break;\n                    case 4:\n                        m.typeAttr = r.string();\n                        break;\n                    case 5:\n                        m.numberAttr = r.string();\n                        break;\n                    case 6:\n                        m.typeListAttr = r.string();\n                        break;\n                    case 16:\n                        m.isRef = r.bool();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return ArgDef;\n        })();\n\n        OpDef.AttrDef = (function() {\n\n            function AttrDef(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            AttrDef.prototype.name = \"\";\n            AttrDef.prototype.type = \"\";\n            AttrDef.prototype.defaultValue = null;\n            AttrDef.prototype.description = \"\";\n            AttrDef.prototype.hasMinimum = false;\n            AttrDef.prototype.minimum = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n            AttrDef.prototype.allowedValues = null;\n\n            AttrDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.AttrDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        m.type = r.string();\n                        break;\n                    case 3:\n                        m.defaultValue = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        m.description = r.string();\n                        break;\n                    case 5:\n                        m.hasMinimum = r.bool();\n                        break;\n                    case 6:\n                        m.minimum = r.int64();\n                        break;\n                    case 7:\n                        m.allowedValues = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return AttrDef;\n        })();\n\n        OpDef.OpDeprecation = (function() {\n\n            function OpDeprecation(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            OpDeprecation.prototype.version = 0;\n            OpDeprecation.prototype.explanation = \"\";\n\n            OpDeprecation.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.OpDeprecation();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.version = r.int32();\n                        break;\n                    case 2:\n                        m.explanation = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return OpDeprecation;\n        })();\n\n        return OpDef;\n    })();\n\n    tensorflow.OpList = (function() {\n\n        function OpList(p) {\n            this.op = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        OpList.prototype.op = $util.emptyArray;\n\n        OpList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpList();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m.op && m.op.length))\n                        m.op = [];\n                    m.op.push($root.tensorflow.OpDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return OpList;\n    })();\n\n    tensorflow.MetaGraphDef = (function() {\n\n        function MetaGraphDef(p) {\n            this.collectionDef = {};\n            this.signatureDef = {};\n            this.assetFileDef = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        MetaGraphDef.prototype.metaInfoDef = null;\n        MetaGraphDef.prototype.graphDef = null;\n        MetaGraphDef.prototype.saverDef = null;\n        MetaGraphDef.prototype.collectionDef = $util.emptyObject;\n        MetaGraphDef.prototype.signatureDef = $util.emptyObject;\n        MetaGraphDef.prototype.assetFileDef = $util.emptyArray;\n\n        MetaGraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.MetaGraphDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.metaInfoDef = $root.tensorflow.MetaGraphDef.MetaInfoDef.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.graphDef = $root.tensorflow.GraphDef.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.saverDef = $root.tensorflow.SaverDef.decode(r, r.uint32());\n                    break;\n                case 4:\n                    r.skip().pos++;\n                    if (m.collectionDef === $util.emptyObject)\n                        m.collectionDef = {};\n                    k = r.string();\n                    r.pos++;\n                    m.collectionDef[k] = $root.tensorflow.CollectionDef.decode(r, r.uint32());\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.signatureDef === $util.emptyObject)\n                        m.signatureDef = {};\n                    k = r.string();\n                    r.pos++;\n                    m.signatureDef[k] = $root.tensorflow.SignatureDef.decode(r, r.uint32());\n                    break;\n                case 6:\n                    if (!(m.assetFileDef && m.assetFileDef.length))\n                        m.assetFileDef = [];\n                    m.assetFileDef.push($root.tensorflow.AssetFileDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        MetaGraphDef.MetaInfoDef = (function() {\n\n            function MetaInfoDef(p) {\n                this.tags = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            MetaInfoDef.prototype.metaGraphVersion = \"\";\n            MetaInfoDef.prototype.strippedOpList = null;\n            MetaInfoDef.prototype.anyInfo = null;\n            MetaInfoDef.prototype.tags = $util.emptyArray;\n            MetaInfoDef.prototype.tensorflowVersion = \"\";\n            MetaInfoDef.prototype.tensorflowGitVersion = \"\";\n\n            MetaInfoDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.MetaGraphDef.MetaInfoDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.metaGraphVersion = r.string();\n                        break;\n                    case 2:\n                        m.strippedOpList = $root.tensorflow.OpList.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.anyInfo = $root.tensorflow.Any.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        if (!(m.tags && m.tags.length))\n                            m.tags = [];\n                        m.tags.push(r.string());\n                        break;\n                    case 5:\n                        m.tensorflowVersion = r.string();\n                        break;\n                    case 6:\n                        m.tensorflowGitVersion = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return MetaInfoDef;\n        })();\n\n        return MetaGraphDef;\n    })();\n\n    tensorflow.SavedModel = (function() {\n\n        function SavedModel(p) {\n            this.metaGraphs = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SavedModel.prototype.savedModelSchemaVersion = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n        SavedModel.prototype.metaGraphs = $util.emptyArray;\n\n        SavedModel.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SavedModel();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.savedModelSchemaVersion = r.int64();\n                    break;\n                case 2:\n                    if (!(m.metaGraphs && m.metaGraphs.length))\n                        m.metaGraphs = [];\n                    m.metaGraphs.push($root.tensorflow.MetaGraphDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return SavedModel;\n    })();\n\n    tensorflow.FunctionDefLibrary = (function() {\n\n        function FunctionDefLibrary(p) {\n            this[\"function\"] = [];\n            this.gradient = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDefLibrary.prototype[\"function\"] = $util.emptyArray;\n        FunctionDefLibrary.prototype.gradient = $util.emptyArray;\n\n        FunctionDefLibrary.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.FunctionDefLibrary();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m[\"function\"] && m[\"function\"].length))\n                        m[\"function\"] = [];\n                    m[\"function\"].push($root.tensorflow.FunctionDef.decode(r, r.uint32()));\n                    break;\n                case 2:\n                    if (!(m.gradient && m.gradient.length))\n                        m.gradient = [];\n                    m.gradient.push($root.tensorflow.GradientDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDefLibrary;\n    })();\n\n    tensorflow.FunctionDef = (function() {\n\n        function FunctionDef(p) {\n            this.attr = {};\n            this.nodeDef = [];\n            this.ret = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDef.prototype.signature = null;\n        FunctionDef.prototype.attr = $util.emptyObject;\n        FunctionDef.prototype.nodeDef = $util.emptyArray;\n        FunctionDef.prototype.ret = $util.emptyObject;\n\n        FunctionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.FunctionDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.signature = $root.tensorflow.OpDef.decode(r, r.uint32());\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                case 3:\n                    if (!(m.nodeDef && m.nodeDef.length))\n                        m.nodeDef = [];\n                    m.nodeDef.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    r.skip().pos++;\n                    if (m.ret === $util.emptyObject)\n                        m.ret = {};\n                    k = r.string();\n                    r.pos++;\n                    m.ret[k] = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDef;\n    })();\n\n    tensorflow.GradientDef = (function() {\n\n        function GradientDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        GradientDef.prototype.functionName = \"\";\n        GradientDef.prototype.gradientFunc = \"\";\n\n        GradientDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.GradientDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.functionName = r.string();\n                    break;\n                case 2:\n                    m.gradientFunc = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return GradientDef;\n    })();\n\n    return tensorflow;\n})();\n\nexport { $root as default };\n"},"lineCount":null}},"hash":"7d42adeb13565f6284832ba8892bfa19","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/3a11cd170a746e0035adedde7a833072.json b/tictac/.cache/3a11cd170a746e0035adedde7a833072.json
new file mode 100644
index 00000000..fba3d6f0
--- /dev/null
+++ b/tictac/.cache/3a11cd170a746e0035adedde7a833072.json
@@ -0,0 +1 @@
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diff --git a/tictac/.cache/45ff53f63d449cee66a5bd6a09ba1845.json b/tictac/.cache/45ff53f63d449cee66a5bd6a09ba1845.json
new file mode 100644
index 00000000..6bd39105
--- /dev/null
+++ b/tictac/.cache/45ff53f63d449cee66a5bd6a09ba1845.json
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this.uint32() | 0;\r\n};\r\n\r\n/**\r\n * Reads a zig-zag encoded varint as a signed 32 bit value.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.sint32 = function read_sint32() {\r\n    var value = this.uint32();\r\n    return value >>> 1 ^ -(value & 1) | 0;\r\n};\r\n\r\n/* eslint-disable no-invalid-this */\r\n\r\nfunction readLongVarint() {\r\n    // tends to deopt with local vars for octet etc.\r\n    var bits = new LongBits(0, 0);\r\n    var i = 0;\r\n    if (this.len - this.pos > 4) { // fast route (lo)\r\n        for (; i < 4; ++i) {\r\n            // 1st..4th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 5th\r\n        bits.lo = (bits.lo | (this.buf[this.pos] & 127) << 28) >>> 0;\r\n        bits.hi = (bits.hi | (this.buf[this.pos] & 127) >>  4) >>> 0;\r\n        if (this.buf[this.pos++] < 128)\r\n            return bits;\r\n        i = 0;\r\n    } else {\r\n        for (; i < 3; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 1st..3th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 4th\r\n        bits.lo = (bits.lo | (this.buf[this.pos++] & 127) << i * 7) >>> 0;\r\n        return bits;\r\n    }\r\n    if (this.len - this.pos > 4) { // fast route (hi)\r\n        for (; i < 5; ++i) {\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    } else {\r\n        for (; i < 5; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    }\r\n    /* istanbul ignore next */\r\n    throw Error(\"invalid varint encoding\");\r\n}\r\n\r\n/* eslint-enable no-invalid-this */\r\n\r\n/**\r\n * Reads a varint as a signed 64 bit value.\r\n * @name Reader#int64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as an unsigned 64 bit value.\r\n * @name Reader#uint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a zig-zag encoded varint as a signed 64 bit value.\r\n * @name Reader#sint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as a boolean.\r\n * @returns {boolean} Value read\r\n */\r\nReader.prototype.bool = function read_bool() {\r\n    return this.uint32() !== 0;\r\n};\r\n\r\nfunction readFixed32_end(buf, end) { // note 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*/\r\n\r\nfunction readLongVarint() {\r\n    // tends to deopt with local vars for octet etc.\r\n    var bits = new LongBits(0, 0);\r\n    var i = 0;\r\n    if (this.len - this.pos > 4) { // fast route (lo)\r\n        for (; i < 4; ++i) {\r\n            // 1st..4th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 5th\r\n        bits.lo = (bits.lo | (this.buf[this.pos] & 127) << 28) >>> 0;\r\n        bits.hi = (bits.hi | (this.buf[this.pos] & 127) >>  4) >>> 0;\r\n        if (this.buf[this.pos++] < 128)\r\n            return bits;\r\n        i = 0;\r\n    } else {\r\n        for (; i < 3; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 1st..3th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 4th\r\n        bits.lo = (bits.lo | (this.buf[this.pos++] & 127) << i * 7) >>> 0;\r\n        return bits;\r\n    }\r\n    if (this.len - this.pos > 4) { // fast route (hi)\r\n        for (; i < 5; ++i) {\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    } else {\r\n        for (; i < 5; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    }\r\n    /* istanbul ignore next */\r\n    throw Error(\"invalid varint encoding\");\r\n}\r\n\r\n/* eslint-enable no-invalid-this */\r\n\r\n/**\r\n * Reads a varint as a signed 64 bit value.\r\n * @name Reader#int64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as an unsigned 64 bit value.\r\n * @name Reader#uint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a zig-zag encoded varint as a signed 64 bit value.\r\n * @name Reader#sint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as a boolean.\r\n * @returns {boolean} Value read\r\n */\r\nReader.prototype.bool = function read_bool() {\r\n    return this.uint32() !== 0;\r\n};\r\n\r\nfunction readFixed32_end(buf, end) { // note that this uses `end`, not `pos`\r\n    return (buf[end - 4]\r\n          | buf[end - 3] << 8\r\n          | buf[end - 2] << 16\r\n          | buf[end - 1] << 24) >>> 0;\r\n}\r\n\r\n/**\r\n * Reads fixed 32 bits as an unsigned 32 bit integer.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.fixed32 = function read_fixed32() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    return readFixed32_end(this.buf, this.pos += 4);\r\n};\r\n\r\n/**\r\n * Reads fixed 32 bits as a signed 32 bit integer.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.sfixed32 = function read_sfixed32() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    return readFixed32_end(this.buf, this.pos += 4) | 0;\r\n};\r\n\r\n/* eslint-disable no-invalid-this */\r\n\r\nfunction readFixed64(/* this: Reader */) {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 8 > this.len)\r\n        throw indexOutOfRange(this, 8);\r\n\r\n    return new LongBits(readFixed32_end(this.buf, this.pos += 4), readFixed32_end(this.buf, this.pos += 4));\r\n}\r\n\r\n/* eslint-enable no-invalid-this */\r\n\r\n/**\r\n * Reads fixed 64 bits.\r\n * @name Reader#fixed64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads zig-zag encoded fixed 64 bits.\r\n * @name Reader#sfixed64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a float (32 bit) as a number.\r\n * @function\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.float = function read_float() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    var value = util.float.readFloatLE(this.buf, this.pos);\r\n    this.pos += 4;\r\n    return value;\r\n};\r\n\r\n/**\r\n * Reads a double (64 bit float) as a number.\r\n * @function\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.double = function read_double() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 8 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    var value = util.float.readDoubleLE(this.buf, this.pos);\r\n    this.pos += 8;\r\n    return value;\r\n};\r\n\r\n/**\r\n * Reads a sequence of bytes preceeded by its length as a varint.\r\n * @returns {Uint8Array} Value read\r\n */\r\nReader.prototype.bytes = function read_bytes() {\r\n    var length = this.uint32(),\r\n        start  = this.pos,\r\n        end    = this.pos + length;\r\n\r\n    /* istanbul ignore if */\r\n    if (end > this.len)\r\n        throw indexOutOfRange(this, length);\r\n\r\n    this.pos += length;\r\n    if (Array.isArray(this.buf)) // plain array\r\n        return this.buf.slice(start, end);\r\n    return start === end // fix for IE 10/Win8 and others' subarray returning array of size 1\r\n        ? new this.buf.constructor(0)\r\n        : this._slice.call(this.buf, start, end);\r\n};\r\n\r\n/**\r\n * Reads a string preceeded by its byte length as a varint.\r\n * @returns {string} Value read\r\n */\r\nReader.prototype.string = function read_string() {\r\n    var bytes = this.bytes();\r\n    return utf8.read(bytes, 0, bytes.length);\r\n};\r\n\r\n/**\r\n * Skips the specified number of bytes if specified, otherwise skips a varint.\r\n * @param {number} [length] Length if known, otherwise a varint is assumed\r\n * @returns {Reader} `this`\r\n */\r\nReader.prototype.skip = function skip(length) {\r\n    if (typeof length === \"number\") {\r\n        /* istanbul ignore if */\r\n        if (this.pos + length > this.len)\r\n            throw indexOutOfRange(this, length);\r\n        this.pos += length;\r\n    } else {\r\n        do {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n        } while (this.buf[this.pos++] & 128);\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Skips the next element of the specified wire type.\r\n * @param {number} wireType Wire type received\r\n * @returns {Reader} `this`\r\n */\r\nReader.prototype.skipType = function(wireType) {\r\n    switch (wireType) {\r\n        case 0:\r\n            this.skip();\r\n            break;\r\n        case 1:\r\n            this.skip(8);\r\n            break;\r\n        case 2:\r\n            this.skip(this.uint32());\r\n            break;\r\n        case 3:\r\n            do { // eslint-disable-line no-constant-condition\r\n                if ((wireType = this.uint32() & 7) === 4)\r\n                    break;\r\n                this.skipType(wireType);\r\n            } while (true);\r\n            break;\r\n        case 5:\r\n            this.skip(4);\r\n            break;\r\n\r\n        /* istanbul ignore next */\r\n        default:\r\n            throw Error(\"invalid wire type \" + wireType + \" at offset \" + this.pos);\r\n    }\r\n    return this;\r\n};\r\n\r\nReader._configure = function(BufferReader_) {\r\n    BufferReader = BufferReader_;\r\n\r\n    var fn = util.Long ? \"toLong\" : /* istanbul ignore next */ \"toNumber\";\r\n    util.merge(Reader.prototype, {\r\n\r\n        int64: function read_int64() {\r\n            return readLongVarint.call(this)[fn](false);\r\n        },\r\n\r\n        uint64: function read_uint64() {\r\n            return readLongVarint.call(this)[fn](true);\r\n        },\r\n\r\n        sint64: function read_sint64() {\r\n            return readLongVarint.call(this).zzDecode()[fn](false);\r\n        },\r\n\r\n        fixed64: function read_fixed64() {\r\n            return readFixed64.call(this)[fn](true);\r\n        },\r\n\r\n        sfixed64: function read_sfixed64() {\r\n            return readFixed64.call(this)[fn](false);\r\n        }\r\n\r\n    });\r\n};\r\n"},"lineCount":408}},"hash":"16ead9e83f81c6a69a1e8e79982d5713","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/47b7fdddf35a77e6ac0eb192c9501639.json b/tictac/.cache/47b7fdddf35a77e6ac0eb192c9501639.json
new file mode 100644
index 00000000..ea4edb6d
--- /dev/null
+++ b/tictac/.cache/47b7fdddf35a77e6ac0eb192c9501639.json
@@ -0,0 +1 @@
+{"dependencies":[],"generated":{"js":"module.exports = [\n  {\n    \"tfOpName\": \"Cast\",\n    \"dlOpName\": \"cast\",\n    \"category\": \"transformation\",\n    \"params\": [\n      {\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfParamName\": \"SrcT\",\n        \"dlParamName\": \"sdtype\",\n        \"type\": \"dtype\",\n        \"notSupported\": true\n      },\n      {\n        \"tfParamName\": \"DstT\",\n        \"dlParamName\": \"dtype\",\n        \"type\": \"dtype\"\n      }\n    ]\n  },\n  {\n    \"tfOpName\": \"ExpandDims\",\n    \"dlOpName\": \"expandDims\",\n    \"category\": \"transformation\",\n    \"params\": [{\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfInputIndex\": 1,\n        \"tfParamNameDeprecated\": \"dim\",\n        \"dlParamName\": \"axis\",\n        \"type\": \"number\"\n      }\n    ]\n  },\n  {\n    \"tfOpName\": \"Pad\",\n    \"dlOpName\": \"pad\",\n    \"category\": \"transformation\",\n    \"params\": [{\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfInputIndex\": 1,\n        \"dlParamName\": \"padding\",\n        \"type\": \"number[]\"\n      },\n      {\n        \"tfParamName\": \"constant_value\",\n        \"dlParamName\": \"constantValue\",\n        \"type\": \"number\",\n        \"defaultValue\": 0\n      }\n    ]\n  },\n  {\n    \"tfOpName\": \"PadV2\",\n    \"dlOpName\": \"pad\",\n    \"category\": \"transformation\",\n    \"params\": [{\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfInputIndex\": 1,\n        \"dlParamName\": \"padding\",\n        \"type\": \"number[]\"\n      },\n      {\n        \"tfInputIndex\": 2,\n        \"dlParamName\": \"constantValue\",\n        \"type\": \"number\",\n        \"defaultValue\": 0\n      }\n    ]\n  },\n  {\n    \"tfOpName\": \"Reshape\",\n    \"dlOpName\": \"reshape\",\n    \"category\": \"transformation\",\n    \"params\": [{\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfInputIndex\": 1,\n        \"dlParamName\": \"shape\",\n        \"type\": \"number[]\"\n      }\n    ]\n  },\n  {\n    \"tfOpName\": \"Squeeze\",\n    \"dlOpName\": \"squeeze\",\n    \"category\": \"transformation\",\n    \"params\": [{\n        \"tfInputIndex\": 0,\n        \"dlParamName\": \"x\",\n        \"type\": \"tensor\"\n      },\n      {\n        \"tfParamName\": \"axis\",\n        \"tfParamNameDeprecated\": \"squeeze_dims\",\n        \"dlParamName\": \"axis\",\n        \"type\": \"number[]\"\n      }\n    ]\n  }\n]\n;"},"hash":"ed77e3a30519c580cea0b2256d8fd687","cacheData":{}}
\ No newline at end of file
diff --git a/tictac/.cache/48968da8e833049fa0e5900cdfcc6de7.json b/tictac/.cache/48968da8e833049fa0e5900cdfcc6de7.json
new file mode 100644
index 00000000..2a684506
--- /dev/null
+++ b/tictac/.cache/48968da8e833049fa0e5900cdfcc6de7.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"./ecb","loc":{"line":2,"column":15}},{"name":"./cbc","loc":{"line":3,"column":15}},{"name":"./cfb","loc":{"line":4,"column":15}},{"name":"./cfb8","loc":{"line":5,"column":16}},{"name":"./cfb1","loc":{"line":6,"column":16}},{"name":"./ofb","loc":{"line":7,"column":15}},{"name":"./ctr","loc":{"line":9,"column":15}},{"name":"./list.json","loc":{"line":12,"column":20}}],"generated":{"js":"var modeModules = {\n  ECB: require('./ecb'),\n  CBC: require('./cbc'),\n  CFB: require('./cfb'),\n  CFB8: require('./cfb8'),\n  CFB1: require('./cfb1'),\n  OFB: require('./ofb'),\n  CTR: require('./ctr'),\n  GCM: require('./ctr')\n}\n\nvar modes = require('./list.json')\n\nfor (var key in modes) {\n  modes[key].module = modeModules[modes[key].mode]\n}\n\nmodule.exports = modes\n","map":{"mappings":[{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":1,"column":0},"generated":{"line":1,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":2,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":3,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":4,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":5,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":6,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":7,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":8,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":9,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":10,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":11,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":12,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":13,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":14,"column":0},"generated":{"line":14,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":15,"column":0},"generated":{"line":15,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":16,"column":0},"generated":{"line":16,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":17,"column":0},"generated":{"line":17,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":18,"column":0},"generated":{"line":18,"column":0}},{"source":"node_modules/browserify-aes/modes/index.js","original":{"line":19,"column":0},"generated":{"line":19,"column":0}}],"sources":{"node_modules/browserify-aes/modes/index.js":"var modeModules = {\n  ECB: require('./ecb'),\n  CBC: require('./cbc'),\n  CFB: require('./cfb'),\n  CFB8: require('./cfb8'),\n  CFB1: require('./cfb1'),\n  OFB: require('./ofb'),\n  CTR: require('./ctr'),\n  GCM: require('./ctr')\n}\n\nvar modes = require('./list.json')\n\nfor (var key in modes) {\n  modes[key].module = modeModules[modes[key].mode]\n}\n\nmodule.exports = modes\n"},"lineCount":19}},"hash":"f7e6a1cbc946ebd561a3d361bdcf737b","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/4a725be8bc3985fd3687380a9ad66dcf.json b/tictac/.cache/4a725be8bc3985fd3687380a9ad66dcf.json
new file mode 100644
index 00000000..a31239bb
--- /dev/null
+++ b/tictac/.cache/4a725be8bc3985fd3687380a9ad66dcf.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/@tensorflow/tfjs-converter/package.json","includedInParent":true,"mtime":1529587045000},{"name":"@tensorflow/tfjs-core","loc":{"line":1,"column":21}},{"name":"./utils","loc":{"line":2,"column":41}}],"generated":{"js":"'use strict';\n\nObject.defineProperty(exports, \"__esModule\", {\n    value: true\n});\nexports.CATEGORY = exports.executeOp = undefined;\n\nvar _tfjsCore = require('@tensorflow/tfjs-core');\n\nvar tfc = _interopRequireWildcard(_tfjsCore);\n\nvar _utils = require('./utils');\n\nfunction _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }\n\nvar executeOp = exports.executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'abs':\n            return [tfc.abs((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'acos':\n            return [tfc.acos((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'acosh':\n            return [tfc.acosh((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'asin':\n            return [tfc.asin((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'asinh':\n            return [tfc.asinh((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'atan':\n            return [tfc.atan((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'atanh':\n            return [tfc.atanh((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'ceil':\n            return [tfc.ceil((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'cos':\n            return [tfc.cos((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'cosh':\n            return [tfc.cosh((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'elu':\n            return [tfc.elu((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'erf':\n            return [tfc.erf((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'exp':\n            return [tfc.exp((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'expm1':\n            {\n                return [tfc.expm1((0, _utils.getParamValue)('x', node, tensorMap, context))];\n            }\n        case 'floor':\n            return [tfc.floor((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'log':\n            return [tfc.log((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'log1p':\n            {\n                return [tfc.log1p((0, _utils.getParamValue)('x', node, tensorMap, context))];\n            }\n        case 'neg':\n            return [tfc.neg((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'reciprocal':\n            {\n                return [tfc.reciprocal((0, _utils.getParamValue)('x', node, tensorMap, context))];\n            }\n        case 'relu':\n            return [tfc.relu((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'round':\n            {\n                return [tfc.round((0, _utils.getParamValue)('x', node, tensorMap, context))];\n            }\n        case 'selu':\n            return [tfc.selu((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'sigmoid':\n            return [tfc.sigmoid((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'sin':\n            return [tfc.sin((0, _utils.getParamValue)('x', node, tensorMap, context))];\n        case 'sign':\n            {\n                return 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new file mode 100644
index 00000000..fae4f6d9
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new file mode 100644
index 00000000..cff1666c
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index 00000000..082ad97c
--- /dev/null
+++ b/tictac/.cache/580e0fc2ab07d3fd5df230fa070aa439.json
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diff --git a/tictac/.cache/582a40372c294c92cbfd0deacc023db1.json b/tictac/.cache/582a40372c294c92cbfd0deacc023db1.json
new file mode 100644
index 00000000..65929e1e
--- /dev/null
+++ b/tictac/.cache/582a40372c294c92cbfd0deacc023db1.json
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@@ -0,0 +1 @@
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IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// A bit simpler than readable streams.\n// Implement an async ._write(chunk, encoding, cb), and it'll handle all\n// the drain event emission and buffering.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Writable;\n\n/* <replacement> */\nfunction WriteReq(chunk, encoding, cb) {\n  this.chunk = chunk;\n  this.encoding = encoding;\n  this.callback = cb;\n  this.next = null;\n}\n\n// It seems a linked list but it is not\n// there will be only 2 of these for each stream\nfunction CorkedRequest(state) {\n  var _this = this;\n\n  this.next = null;\n  this.entry = null;\n  this.finish = function () {\n    onCorkedFinish(_this, state);\n  };\n}\n/* </replacement> */\n\n/*<replacement>*/\nvar asyncWrite = !process.browser && ['v0.10', 'v0.9.'].indexOf(process.version.slice(0, 5)) > -1 ? setImmediate : pna.nextTick;\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nWritable.WritableState = WritableState;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar internalUtil = {\n  deprecate: require('util-deprecate')\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\nvar destroyImpl = require('./internal/streams/destroy');\n\nutil.inherits(Writable, Stream);\n\nfunction nop() {}\n\nfunction WritableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag to indicate whether or not this stream\n  // contains buffers or objects.\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.writableObjectMode;\n\n  // the point at which write() starts returning false\n  // Note: 0 is a valid value, means that we always return false if\n  // the entire buffer is not flushed immediately on write()\n  var hwm = options.highWaterMark;\n  var writableHwm = options.writableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (writableHwm || writableHwm === 0)) this.highWaterMark = writableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // if _final has been called\n  this.finalCalled = false;\n\n  // drain event flag.\n  this.needDrain = false;\n  // at the start of calling end()\n  this.ending = false;\n  // when end() has been called, and returned\n  this.ended = false;\n  // when 'finish' is emitted\n  this.finished = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // should we decode strings into buffers before passing to _write?\n  // this is here so that some node-core streams can optimize string\n  // handling at a lower level.\n  var noDecode = options.decodeStrings === false;\n  this.decodeStrings = !noDecode;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // not an actual buffer we keep track of, but a measurement\n  // of how much we're waiting to get pushed to some underlying\n  // socket or file.\n  this.length = 0;\n\n  // a flag to see when we're in the middle of a write.\n  this.writing = false;\n\n  // when true all writes will be buffered until .uncork() call\n  this.corked = 0;\n\n  // a flag to be able to tell if the onwrite cb is called immediately,\n  // or on a later tick.  We set this to true at first, because any\n  // actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first write call.\n  this.sync = true;\n\n  // a flag to know if we're processing previously buffered items, which\n  // may call the _write() callback in the same tick, so that we don't\n  // end up in an overlapped onwrite situation.\n  this.bufferProcessing = false;\n\n  // the callback that's passed to _write(chunk,cb)\n  this.onwrite = function (er) {\n    onwrite(stream, er);\n  };\n\n  // the callback that the user supplies to write(chunk,encoding,cb)\n  this.writecb = null;\n\n  // the amount that is being written when _write is called.\n  this.writelen = 0;\n\n  this.bufferedRequest = null;\n  this.lastBufferedRequest = null;\n\n  // number of pending user-supplied write callbacks\n  // this must be 0 before 'finish' can be emitted\n  this.pendingcb = 0;\n\n  // emit prefinish if the only thing we're waiting for is _write cbs\n  // This is relevant for synchronous Transform streams\n  this.prefinished = false;\n\n  // True if the error was already emitted and should not be thrown again\n  this.errorEmitted = false;\n\n  // count buffered requests\n  this.bufferedRequestCount = 0;\n\n  // allocate the first CorkedRequest, there is always\n  // one allocated and free to use, and we maintain at most two\n  this.corkedRequestsFree = new CorkedRequest(this);\n}\n\nWritableState.prototype.getBuffer = function getBuffer() {\n  var current = this.bufferedRequest;\n  var out = [];\n  while (current) {\n    out.push(current);\n    current = current.next;\n  }\n  return out;\n};\n\n(function () {\n  try {\n    Object.defineProperty(WritableState.prototype, 'buffer', {\n      get: internalUtil.deprecate(function () {\n        return this.getBuffer();\n      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')\n    });\n  } catch (_) {}\n})();\n\n// Test _writableState for inheritance to account for Duplex streams,\n// whose prototype chain only points to Readable.\nvar realHasInstance;\nif (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {\n  realHasInstance = Function.prototype[Symbol.hasInstance];\n  Object.defineProperty(Writable, Symbol.hasInstance, {\n    value: function (object) {\n      if (realHasInstance.call(this, object)) return true;\n      if (this !== Writable) return false;\n\n      return object && object._writableState instanceof WritableState;\n    }\n  });\n} else {\n  realHasInstance = function (object) {\n    return object instanceof this;\n  };\n}\n\nfunction Writable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  // Writable ctor is applied to Duplexes, too.\n  // `realHasInstance` is necessary because using plain `instanceof`\n  // would return false, as no `_writableState` property is attached.\n\n  // Trying to use the custom `instanceof` for Writable here will also break the\n  // Node.js LazyTransform implementation, which has a non-trivial getter for\n  // `_writableState` that would lead to infinite recursion.\n  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {\n    return new Writable(options);\n  }\n\n  this._writableState = new WritableState(options, this);\n\n  // legacy.\n  this.writable = true;\n\n  if (options) {\n    if (typeof options.write === 'function') this._write = options.write;\n\n    if (typeof options.writev === 'function') this._writev = options.writev;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n\n    if (typeof options.final === 'function') this._final = options.final;\n  }\n\n  Stream.call(this);\n}\n\n// Otherwise people can pipe Writable streams, which is just wrong.\nWritable.prototype.pipe = function () {\n  this.emit('error', new Error('Cannot pipe, not readable'));\n};\n\nfunction writeAfterEnd(stream, cb) {\n  var er = new Error('write after end');\n  // TODO: defer error events consistently everywhere, not just the cb\n  stream.emit('error', er);\n  pna.nextTick(cb, er);\n}\n\n// Checks that a user-supplied chunk is valid, especially for the particular\n// mode the stream is in. Currently this means that `null` is never accepted\n// and undefined/non-string values are only allowed in object mode.\nfunction validChunk(stream, state, chunk, cb) {\n  var valid = true;\n  var er = false;\n\n  if (chunk === null) {\n    er = new TypeError('May not write null values to stream');\n  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  if (er) {\n    stream.emit('error', er);\n    pna.nextTick(cb, er);\n    valid = false;\n  }\n  return valid;\n}\n\nWritable.prototype.write = function (chunk, encoding, cb) {\n  var state = this._writableState;\n  var ret = false;\n  var isBuf = !state.objectMode && _isUint8Array(chunk);\n\n  if (isBuf && !Buffer.isBuffer(chunk)) {\n    chunk = _uint8ArrayToBuffer(chunk);\n  }\n\n  if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;\n\n  if (typeof cb !== 'function') cb = nop;\n\n  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {\n    state.pendingcb++;\n    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);\n  }\n\n  return ret;\n};\n\nWritable.prototype.cork = function () {\n  var state = this._writableState;\n\n  state.corked++;\n};\n\nWritable.prototype.uncork = function () {\n  var state = this._writableState;\n\n  if (state.corked) {\n    state.corked--;\n\n    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);\n  }\n};\n\nWritable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {\n  // node::ParseEncoding() requires lower case.\n  if (typeof encoding === 'string') encoding = encoding.toLowerCase();\n  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);\n  this._writableState.defaultEncoding = encoding;\n  return this;\n};\n\nfunction decodeChunk(state, chunk, encoding) {\n  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {\n    chunk = Buffer.from(chunk, encoding);\n  }\n  return chunk;\n}\n\nObject.defineProperty(Writable.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// if we're already writing something, then just put this\n// in the queue, and wait our turn.  Otherwise, call _write\n// If we return false, then we need a drain event, so set that flag.\nfunction writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {\n  if (!isBuf) {\n    var newChunk = decodeChunk(state, chunk, encoding);\n    if (chunk !== newChunk) {\n      isBuf = true;\n      encoding = 'buffer';\n      chunk = newChunk;\n    }\n  }\n  var len = state.objectMode ? 1 : chunk.length;\n\n  state.length += len;\n\n  var ret = state.length < state.highWaterMark;\n  // we must ensure that previous needDrain will not be reset to false.\n  if (!ret) state.needDrain = true;\n\n  if (state.writing || state.corked) {\n    var last = state.lastBufferedRequest;\n    state.lastBufferedRequest = {\n      chunk: chunk,\n      encoding: encoding,\n      isBuf: isBuf,\n      callback: cb,\n      next: null\n    };\n    if (last) {\n      last.next = state.lastBufferedRequest;\n    } else {\n      state.bufferedRequest = state.lastBufferedRequest;\n    }\n    state.bufferedRequestCount += 1;\n  } else {\n    doWrite(stream, state, false, len, chunk, encoding, cb);\n  }\n\n  return ret;\n}\n\nfunction doWrite(stream, state, writev, len, chunk, encoding, cb) {\n  state.writelen = len;\n  state.writecb = cb;\n  state.writing = true;\n  state.sync = true;\n  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);\n  state.sync = false;\n}\n\nfunction onwriteError(stream, state, sync, er, cb) {\n  --state.pendingcb;\n\n  if (sync) {\n    // defer the callback if we are being called synchronously\n    // to avoid piling up things on the stack\n    pna.nextTick(cb, er);\n    // this can emit finish, and it will always happen\n    // after error\n    pna.nextTick(finishMaybe, stream, state);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n  } else {\n    // the caller expect this to happen before if\n    // it is async\n    cb(er);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n    // this can emit finish, but finish must\n    // always follow error\n    finishMaybe(stream, state);\n  }\n}\n\nfunction onwriteStateUpdate(state) {\n  state.writing = false;\n  state.writecb = null;\n  state.length -= state.writelen;\n  state.writelen = 0;\n}\n\nfunction onwrite(stream, er) {\n  var state = stream._writableState;\n  var sync = state.sync;\n  var cb = state.writecb;\n\n  onwriteStateUpdate(state);\n\n  if (er) onwriteError(stream, state, sync, er, cb);else {\n    // Check if we're actually ready to finish, but don't emit yet\n    var finished = needFinish(state);\n\n    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {\n      clearBuffer(stream, state);\n    }\n\n    if (sync) {\n      /*<replacement>*/\n      asyncWrite(afterWrite, stream, state, finished, cb);\n      /*</replacement>*/\n    } else {\n      afterWrite(stream, state, finished, cb);\n    }\n  }\n}\n\nfunction afterWrite(stream, state, finished, cb) {\n  if (!finished) onwriteDrain(stream, state);\n  state.pendingcb--;\n  cb();\n  finishMaybe(stream, state);\n}\n\n// Must force callback to be called on nextTick, so that we don't\n// emit 'drain' before the write() consumer gets the 'false' return\n// value, and has a chance to attach a 'drain' listener.\nfunction onwriteDrain(stream, state) {\n  if (state.length === 0 && state.needDrain) {\n    state.needDrain = false;\n    stream.emit('drain');\n  }\n}\n\n// if there's something in the buffer waiting, then process it\nfunction clearBuffer(stream, state) {\n  state.bufferProcessing = true;\n  var entry = state.bufferedRequest;\n\n  if (stream._writev && entry && entry.next) {\n    // Fast case, write everything using _writev()\n    var l = state.bufferedRequestCount;\n    var buffer = new Array(l);\n    var holder = state.corkedRequestsFree;\n    holder.entry = entry;\n\n    var count = 0;\n    var allBuffers = true;\n    while (entry) {\n      buffer[count] = entry;\n      if (!entry.isBuf) allBuffers = false;\n      entry = entry.next;\n      count += 1;\n    }\n    buffer.allBuffers = allBuffers;\n\n    doWrite(stream, state, true, state.length, buffer, '', holder.finish);\n\n    // doWrite is almost always async, defer these to save a bit of time\n    // as the hot path ends with doWrite\n    state.pendingcb++;\n    state.lastBufferedRequest = null;\n    if (holder.next) {\n      state.corkedRequestsFree = holder.next;\n      holder.next = null;\n    } else {\n      state.corkedRequestsFree = new CorkedRequest(state);\n    }\n    state.bufferedRequestCount = 0;\n  } else {\n    // Slow case, write chunks one-by-one\n    while (entry) {\n      var chunk = entry.chunk;\n      var encoding = entry.encoding;\n      var cb = entry.callback;\n      var len = state.objectMode ? 1 : chunk.length;\n\n      doWrite(stream, state, false, len, chunk, encoding, cb);\n      entry = entry.next;\n      state.bufferedRequestCount--;\n      // if we didn't call the onwrite immediately, then\n      // it means that we need to wait until it does.\n      // also, that means that the chunk and cb are currently\n      // being processed, so move the buffer counter past them.\n      if (state.writing) {\n        break;\n      }\n    }\n\n    if (entry === null) state.lastBufferedRequest = null;\n  }\n\n  state.bufferedRequest = entry;\n  state.bufferProcessing = false;\n}\n\nWritable.prototype._write = function (chunk, encoding, cb) {\n  cb(new Error('_write() is not implemented'));\n};\n\nWritable.prototype._writev = null;\n\nWritable.prototype.end = function (chunk, encoding, cb) {\n  var state = this._writableState;\n\n  if (typeof chunk === 'function') {\n    cb = chunk;\n    chunk = null;\n    encoding = null;\n  } else if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);\n\n  // .end() fully uncorks\n  if (state.corked) {\n    state.corked = 1;\n    this.uncork();\n  }\n\n  // ignore unnecessary end() calls.\n  if (!state.ending && !state.finished) endWritable(this, state, cb);\n};\n\nfunction needFinish(state) {\n  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;\n}\nfunction callFinal(stream, state) {\n  stream._final(function (err) {\n    state.pendingcb--;\n    if (err) {\n      stream.emit('error', err);\n    }\n    state.prefinished = true;\n    stream.emit('prefinish');\n    finishMaybe(stream, state);\n  });\n}\nfunction prefinish(stream, state) {\n  if (!state.prefinished && !state.finalCalled) {\n    if (typeof stream._final === 'function') {\n      state.pendingcb++;\n      state.finalCalled = true;\n      pna.nextTick(callFinal, stream, state);\n    } else {\n      state.prefinished = true;\n      stream.emit('prefinish');\n    }\n  }\n}\n\nfunction finishMaybe(stream, state) {\n  var need = needFinish(state);\n  if (need) {\n    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We set this to true at first, because any\n  // actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first write call.\n  this.sync = true;\n\n  // a flag to know if we're processing previously buffered items, which\n  // may call the _write() callback in the same tick, so that we don't\n  // end up in an overlapped onwrite situation.\n  this.bufferProcessing = false;\n\n  // the callback that's passed to _write(chunk,cb)\n  this.onwrite = function (er) {\n    onwrite(stream, er);\n  };\n\n  // the callback that the user supplies to write(chunk,encoding,cb)\n  this.writecb = null;\n\n  // the amount that is being written when _write is called.\n  this.writelen = 0;\n\n  this.bufferedRequest = null;\n  this.lastBufferedRequest = null;\n\n  // number of pending user-supplied write callbacks\n  // this must be 0 before 'finish' can be emitted\n  this.pendingcb = 0;\n\n  // emit prefinish if the only thing we're waiting for is _write cbs\n  // This is relevant for synchronous Transform streams\n  this.prefinished = false;\n\n  // True if the error was already emitted and should not be thrown again\n  this.errorEmitted = false;\n\n  // count buffered requests\n  this.bufferedRequestCount = 0;\n\n  // allocate the first CorkedRequest, there is always\n  // one allocated and free to use, and we maintain at most two\n  this.corkedRequestsFree = new CorkedRequest(this);\n}\n\nWritableState.prototype.getBuffer = function getBuffer() {\n  var current = this.bufferedRequest;\n  var out = [];\n  while (current) {\n    out.push(current);\n    current = current.next;\n  }\n  return out;\n};\n\n(function () {\n  try {\n    Object.defineProperty(WritableState.prototype, 'buffer', {\n      get: internalUtil.deprecate(function () {\n        return this.getBuffer();\n      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')\n    });\n  } catch (_) {}\n})();\n\n// Test _writableState for inheritance to account for Duplex streams,\n// whose prototype chain only points to Readable.\nvar realHasInstance;\nif (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {\n  realHasInstance = Function.prototype[Symbol.hasInstance];\n  Object.defineProperty(Writable, Symbol.hasInstance, {\n    value: function (object) {\n      if (realHasInstance.call(this, object)) return true;\n      if (this !== Writable) return false;\n\n      return object && object._writableState instanceof WritableState;\n    }\n  });\n} else {\n  realHasInstance = function (object) {\n    return object instanceof this;\n  };\n}\n\nfunction Writable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  // Writable ctor is applied to Duplexes, too.\n  // `realHasInstance` is necessary because using plain `instanceof`\n  // would return false, as no `_writableState` property is attached.\n\n  // Trying to use the custom `instanceof` for Writable here will also break the\n  // Node.js LazyTransform implementation, which has a non-trivial getter for\n  // `_writableState` that would lead to infinite recursion.\n  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {\n    return new Writable(options);\n  }\n\n  this._writableState = new WritableState(options, this);\n\n  // legacy.\n  this.writable = true;\n\n  if (options) {\n    if (typeof options.write === 'function') this._write = options.write;\n\n    if (typeof options.writev === 'function') this._writev = options.writev;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n\n    if (typeof options.final === 'function') this._final = options.final;\n  }\n\n  Stream.call(this);\n}\n\n// Otherwise people can pipe Writable streams, which is just wrong.\nWritable.prototype.pipe = function () {\n  this.emit('error', new Error('Cannot pipe, not readable'));\n};\n\nfunction writeAfterEnd(stream, cb) {\n  var er = new Error('write after end');\n  // TODO: defer error events consistently everywhere, not just the cb\n  stream.emit('error', er);\n  pna.nextTick(cb, er);\n}\n\n// Checks that a user-supplied chunk is valid, especially for the particular\n// mode the stream is in. Currently this means that `null` is never accepted\n// and undefined/non-string values are only allowed in object mode.\nfunction validChunk(stream, state, chunk, cb) {\n  var valid = true;\n  var er = false;\n\n  if (chunk === null) {\n    er = new TypeError('May not write null values to stream');\n  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  if (er) {\n    stream.emit('error', er);\n    pna.nextTick(cb, er);\n    valid = false;\n  }\n  return valid;\n}\n\nWritable.prototype.write = function (chunk, encoding, cb) {\n  var state = this._writableState;\n  var ret = false;\n  var isBuf = !state.objectMode && _isUint8Array(chunk);\n\n  if (isBuf && !Buffer.isBuffer(chunk)) {\n    chunk = _uint8ArrayToBuffer(chunk);\n  }\n\n  if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;\n\n  if (typeof cb !== 'function') cb = nop;\n\n  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {\n    state.pendingcb++;\n    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);\n  }\n\n  return ret;\n};\n\nWritable.prototype.cork = function () {\n  var state = this._writableState;\n\n  state.corked++;\n};\n\nWritable.prototype.uncork = function () {\n  var state = this._writableState;\n\n  if (state.corked) {\n    state.corked--;\n\n    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);\n  }\n};\n\nWritable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {\n  // node::ParseEncoding() requires lower case.\n  if (typeof encoding === 'string') encoding = encoding.toLowerCase();\n  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);\n  this._writableState.defaultEncoding = encoding;\n  return this;\n};\n\nfunction decodeChunk(state, chunk, encoding) {\n  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {\n    chunk = Buffer.from(chunk, encoding);\n  }\n  return chunk;\n}\n\nObject.defineProperty(Writable.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// if we're already writing something, then just put this\n// in the queue, and wait our turn.  Otherwise, call _write\n// If we return false, then we need a drain event, so set that flag.\nfunction writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {\n  if (!isBuf) {\n    var newChunk = decodeChunk(state, chunk, encoding);\n    if (chunk !== newChunk) {\n      isBuf = true;\n      encoding = 'buffer';\n      chunk = newChunk;\n    }\n  }\n  var len = state.objectMode ? 1 : chunk.length;\n\n  state.length += len;\n\n  var ret = state.length < state.highWaterMark;\n  // we must ensure that previous needDrain will not be reset to false.\n  if (!ret) state.needDrain = true;\n\n  if (state.writing || state.corked) {\n    var last = state.lastBufferedRequest;\n    state.lastBufferedRequest = {\n      chunk: chunk,\n      encoding: encoding,\n      isBuf: isBuf,\n      callback: cb,\n      next: null\n    };\n    if (last) {\n      last.next = state.lastBufferedRequest;\n    } else {\n      state.bufferedRequest = state.lastBufferedRequest;\n    }\n    state.bufferedRequestCount += 1;\n  } else {\n    doWrite(stream, state, false, len, chunk, encoding, cb);\n  }\n\n  return ret;\n}\n\nfunction doWrite(stream, state, writev, len, chunk, encoding, cb) {\n  state.writelen = len;\n  state.writecb = cb;\n  state.writing = true;\n  state.sync = true;\n  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);\n  state.sync = false;\n}\n\nfunction onwriteError(stream, state, sync, er, cb) {\n  --state.pendingcb;\n\n  if (sync) {\n    // defer the callback if we are being called synchronously\n    // to avoid piling up things on the stack\n    pna.nextTick(cb, er);\n    // this can emit finish, and it will always happen\n    // after error\n    pna.nextTick(finishMaybe, stream, state);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n  } else {\n    // the caller expect this to happen before if\n    // it is async\n    cb(er);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n    // this can emit finish, but finish must\n    // always follow error\n    finishMaybe(stream, state);\n  }\n}\n\nfunction onwriteStateUpdate(state) {\n  state.writing = false;\n  state.writecb = null;\n  state.length -= state.writelen;\n  state.writelen = 0;\n}\n\nfunction onwrite(stream, er) {\n  var state = stream._writableState;\n  var sync = state.sync;\n  var cb = state.writecb;\n\n  onwriteStateUpdate(state);\n\n  if (er) onwriteError(stream, state, sync, er, cb);else {\n    // Check if we're actually ready to finish, but don't emit yet\n    var finished = needFinish(state);\n\n    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {\n      clearBuffer(stream, state);\n    }\n\n    if (sync) {\n      /*<replacement>*/\n      asyncWrite(afterWrite, stream, state, finished, cb);\n      /*</replacement>*/\n    } else {\n      afterWrite(stream, state, finished, cb);\n    }\n  }\n}\n\nfunction afterWrite(stream, state, finished, cb) {\n  if (!finished) onwriteDrain(stream, state);\n  state.pendingcb--;\n  cb();\n  finishMaybe(stream, state);\n}\n\n// Must force callback to be called on nextTick, so that we don't\n// emit 'drain' before the write() consumer gets the 'false' return\n// value, and has a chance to attach a 'drain' listener.\nfunction onwriteDrain(stream, state) {\n  if (state.length === 0 && state.needDrain) {\n    state.needDrain = false;\n    stream.emit('drain');\n  }\n}\n\n// if there's something in the buffer waiting, then process it\nfunction clearBuffer(stream, state) {\n  state.bufferProcessing = true;\n  var entry = state.bufferedRequest;\n\n  if (stream._writev && entry && entry.next) {\n    // Fast case, write everything using _writev()\n    var l = state.bufferedRequestCount;\n    var buffer = new Array(l);\n    var holder = state.corkedRequestsFree;\n    holder.entry = entry;\n\n    var count = 0;\n    var allBuffers = true;\n    while (entry) {\n      buffer[count] = entry;\n      if (!entry.isBuf) allBuffers = false;\n      entry = entry.next;\n      count += 1;\n    }\n    buffer.allBuffers = allBuffers;\n\n    doWrite(stream, state, true, state.length, buffer, '', holder.finish);\n\n    // doWrite is almost always async, defer these to save a bit of time\n    // as the hot path ends with doWrite\n    state.pendingcb++;\n    state.lastBufferedRequest = null;\n    if (holder.next) {\n      state.corkedRequestsFree = holder.next;\n      holder.next = null;\n    } else {\n      state.corkedRequestsFree = new CorkedRequest(state);\n    }\n    state.bufferedRequestCount = 0;\n  } else {\n    // Slow case, write chunks one-by-one\n    while (entry) {\n      var chunk = entry.chunk;\n      var encoding = entry.encoding;\n      var cb = entry.callback;\n      var len = state.objectMode ? 1 : chunk.length;\n\n      doWrite(stream, state, false, len, chunk, encoding, cb);\n      entry = entry.next;\n      state.bufferedRequestCount--;\n      // if we didn't call the onwrite immediately, then\n      // it means that we need to wait until it does.\n      // also, that means that the chunk and cb are currently\n      // being processed, so move the buffer counter past them.\n      if (state.writing) {\n        break;\n      }\n    }\n\n    if (entry === null) state.lastBufferedRequest = null;\n  }\n\n  state.bufferedRequest = entry;\n  state.bufferProcessing = false;\n}\n\nWritable.prototype._write = function (chunk, encoding, cb) {\n  cb(new Error('_write() is not implemented'));\n};\n\nWritable.prototype._writev = null;\n\nWritable.prototype.end = function (chunk, encoding, cb) {\n  var state = this._writableState;\n\n  if (typeof chunk === 'function') {\n    cb = chunk;\n    chunk = null;\n    encoding = null;\n  } else if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);\n\n  // .end() fully uncorks\n  if (state.corked) {\n    state.corked = 1;\n    this.uncork();\n  }\n\n  // ignore unnecessary end() calls.\n  if (!state.ending && !state.finished) endWritable(this, state, cb);\n};\n\nfunction needFinish(state) {\n  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;\n}\nfunction callFinal(stream, state) {\n  stream._final(function (err) {\n    state.pendingcb--;\n    if (err) {\n      stream.emit('error', err);\n    }\n    state.prefinished = true;\n    stream.emit('prefinish');\n    finishMaybe(stream, state);\n  });\n}\nfunction prefinish(stream, state) {\n  if (!state.prefinished && !state.finalCalled) {\n    if (typeof stream._final === 'function') {\n      state.pendingcb++;\n      state.finalCalled = true;\n      pna.nextTick(callFinal, stream, state);\n    } else {\n      state.prefinished = true;\n      stream.emit('prefinish');\n    }\n  }\n}\n\nfunction finishMaybe(stream, state) {\n  var need = needFinish(state);\n  if (need) {\n    prefinish(stream, state);\n    if (state.pendingcb === 0) {\n      state.finished = true;\n      stream.emit('finish');\n    }\n  }\n  return need;\n}\n\nfunction endWritable(stream, state, cb) {\n  state.ending = true;\n  finishMaybe(stream, state);\n  if (cb) {\n    if (state.finished) pna.nextTick(cb);else stream.once('finish', cb);\n  }\n  state.ended = true;\n  stream.writable = false;\n}\n\nfunction onCorkedFinish(corkReq, state, err) {\n  var entry = corkReq.entry;\n  corkReq.entry = null;\n  while (entry) {\n    var cb = entry.callback;\n    state.pendingcb--;\n    cb(err);\n    entry = entry.next;\n  }\n  if (state.corkedRequestsFree) {\n    state.corkedRequestsFree.next = corkReq;\n  } else {\n    state.corkedRequestsFree = corkReq;\n  }\n}\n\nObject.defineProperty(Writable.prototype, 'destroyed', {\n  get: function () {\n    if (this._writableState === undefined) {\n      return false;\n    }\n    return this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._writableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._writableState.destroyed = value;\n  }\n});\n\nWritable.prototype.destroy = destroyImpl.destroy;\nWritable.prototype._undestroy = destroyImpl.undestroy;\nWritable.prototype._destroy = function (err, cb) {\n  this.end();\n  cb(err);\n};"},"lineCount":690}},"hash":"a98b50b06ce8d9c045a07a5c5f7d4390","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/5e592e495636a7a16c093bd7db136c3d.json b/tictac/.cache/5e592e495636a7a16c093bd7db136c3d.json
new file mode 100644
index 00000000..5e253ecd
--- /dev/null
+++ b/tictac/.cache/5e592e495636a7a16c093bd7db136c3d.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/elliptic/package.json","includedInParent":true,"mtime":1487798844000},{"name":"bn.js","loc":{"line":3,"column":17}},{"name":"../../elliptic","loc":{"line":4,"column":23}}],"generated":{"js":"'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar cachedProperty = utils.cachedProperty;\nvar parseBytes = utils.parseBytes;\n\n/**\n* @param {EDDSA} eddsa - eddsa instance\n* @param {Array<Bytes>|Object} sig -\n* @param {Array<Bytes>|Point} [sig.R] - R point as Point or bytes\n* @param {Array<Bytes>|bn} [sig.S] - S scalar as bn or bytes\n* @param {Array<Bytes>} [sig.Rencoded] - R point encoded\n* @param {Array<Bytes>} [sig.Sencoded] - S scalar encoded\n*/\nfunction Signature(eddsa, sig) {\n  this.eddsa = eddsa;\n\n  if (typeof sig !== 'object')\n    sig = parseBytes(sig);\n\n  if (Array.isArray(sig)) {\n    sig = {\n      R: sig.slice(0, eddsa.encodingLength),\n      S: sig.slice(eddsa.encodingLength)\n    };\n  }\n\n  assert(sig.R && sig.S, 'Signature without R or S');\n\n  if (eddsa.isPoint(sig.R))\n    this._R = sig.R;\n  if (sig.S instanceof BN)\n    this._S = sig.S;\n\n  this._Rencoded = Array.isArray(sig.R) ? sig.R : sig.Rencoded;\n  this._Sencoded = Array.isArray(sig.S) ? sig.S : sig.Sencoded;\n}\n\ncachedProperty(Signature, 'S', function S() {\n  return this.eddsa.decodeInt(this.Sencoded());\n});\n\ncachedProperty(Signature, 'R', function R() {\n  return this.eddsa.decodePoint(this.Rencoded());\n});\n\ncachedProperty(Signature, 'Rencoded', function Rencoded() {\n  return this.eddsa.encodePoint(this.R());\n});\n\ncachedProperty(Signature, 'Sencoded', function Sencoded() {\n  return this.eddsa.encodeInt(this.S());\n});\n\nSignature.prototype.toBytes = function 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diff --git a/tictac/.cache/61f868b15cfc0fcf3ef22504b7dee44e.json b/tictac/.cache/61f868b15cfc0fcf3ef22504b7dee44e.json
new file mode 100644
index 00000000..53f46723
--- /dev/null
+++ b/tictac/.cache/61f868b15cfc0fcf3ef22504b7dee44e.json
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diff --git a/tictac/.cache/6ddde702cc12556d86c4286c8bae7293.json b/tictac/.cache/6ddde702cc12556d86c4286c8bae7293.json
new file mode 100644
index 00000000..af33db08
--- /dev/null
+++ b/tictac/.cache/6ddde702cc12556d86c4286c8bae7293.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/evp_bytestokey/package.json","includedInParent":true,"mtime":1504606831000},{"name":"safe-buffer","loc":{"line":1,"column":21}},{"name":"md5.js","loc":{"line":2,"column":18}}],"generated":{"js":"\nvar Buffer = require('safe-buffer').Buffer\nvar MD5 = require('md5.js')\n\n/* eslint-disable camelcase */\nfunction EVP_BytesToKey (password, salt, keyBits, ivLen) {\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')\n  if (salt) {\n    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')\n    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')\n  }\n\n  var keyLen = keyBits / 8\n  var key = Buffer.alloc(keyLen)\n  var iv = Buffer.alloc(ivLen || 0)\n  var tmp = Buffer.alloc(0)\n\n  while (keyLen > 0 || ivLen > 0) {\n    var hash = new MD5()\n    hash.update(tmp)\n    hash.update(password)\n    if (salt) hash.update(salt)\n    tmp = hash.digest()\n\n    var used = 0\n\n    if (keyLen > 0) {\n      var keyStart = key.length - keyLen\n      used = Math.min(keyLen, tmp.length)\n      tmp.copy(key, keyStart, 0, used)\n      keyLen -= used\n    }\n\n    if (used < tmp.length && ivLen > 0) {\n      var ivStart = iv.length - ivLen\n      var length = Math.min(ivLen, tmp.length - used)\n      tmp.copy(iv, ivStart, used, used + length)\n      ivLen -= length\n    }\n  }\n\n  tmp.fill(0)\n  return { key: key, iv: iv }\n}\n\nmodule.exports = EVP_BytesToKey\n","map":{"mappings":[{"source":"node_modules/evp_bytestokey/index.js","original":{"line":1,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":2,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":3,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":4,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":5,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":6,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":7,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":8,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":9,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":10,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":11,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":12,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":13,"column":0},"generated":{"line":14,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":14,"column":0},"generated":{"line":15,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":15,"column":0},"generated":{"line":16,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":16,"column":0},"generated":{"line":17,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":17,"column":0},"generated":{"line":18,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":18,"column":0},"generated":{"line":19,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":19,"column":0},"generated":{"line":20,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":20,"column":0},"generated":{"line":21,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":21,"column":0},"generated":{"line":22,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":22,"column":0},"generated":{"line":23,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":23,"column":0},"generated":{"line":24,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":24,"column":0},"generated":{"line":25,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":25,"column":0},"generated":{"line":26,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":26,"column":0},"generated":{"line":27,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":27,"column":0},"generated":{"line":28,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":28,"column":0},"generated":{"line":29,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":29,"column":0},"generated":{"line":30,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":30,"column":0},"generated":{"line":31,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":31,"column":0},"generated":{"line":32,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":32,"column":0},"generated":{"line":33,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":33,"column":0},"generated":{"line":34,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":34,"column":0},"generated":{"line":35,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":35,"column":0},"generated":{"line":36,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":36,"column":0},"generated":{"line":37,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":37,"column":0},"generated":{"line":38,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":38,"column":0},"generated":{"line":39,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":39,"column":0},"generated":{"line":40,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":40,"column":0},"generated":{"line":41,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":41,"column":0},"generated":{"line":42,"column":0}},{"source":"node_modules/evp_bytestokey/index.js","original":{"line":42,"column":0},"generated":{"line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Buffer = require('safe-buffer').Buffer\nvar MD5 = require('md5.js')\n\n/* eslint-disable camelcase */\nfunction EVP_BytesToKey (password, salt, keyBits, ivLen) {\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')\n  if (salt) {\n    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')\n    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')\n  }\n\n  var keyLen = keyBits / 8\n  var key = Buffer.alloc(keyLen)\n  var iv = Buffer.alloc(ivLen || 0)\n  var tmp = Buffer.alloc(0)\n\n  while (keyLen > 0 || ivLen > 0) {\n    var hash = new MD5()\n    hash.update(tmp)\n    hash.update(password)\n    if (salt) hash.update(salt)\n    tmp = hash.digest()\n\n    var used = 0\n\n    if (keyLen > 0) {\n      var keyStart = key.length - keyLen\n      used = Math.min(keyLen, tmp.length)\n      tmp.copy(key, keyStart, 0, used)\n      keyLen -= used\n    }\n\n    if (used < tmp.length && ivLen > 0) {\n      var ivStart = iv.length - ivLen\n      var length = Math.min(ivLen, tmp.length - used)\n      tmp.copy(iv, ivStart, used, used + length)\n      ivLen -= length\n    }\n  }\n\n  tmp.fill(0)\n  return { key: key, iv: iv }\n}\n\nmodule.exports = EVP_BytesToKey\n"},"lineCount":47}},"hash":"7db26effb507facf3226bb0e31764e19","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/6f9ae6bf8a811d3f6c95399d36f612a6.json b/tictac/.cache/6f9ae6bf8a811d3f6c95399d36f612a6.json
new file mode 100644
index 00000000..2251e3ab
--- /dev/null
+++ b/tictac/.cache/6f9ae6bf8a811d3f6c95399d36f612a6.json
@@ -0,0 +1 @@
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}\n    return this._createEncoderBuffer(buf);\n  } else if (tag === 'numstr') {\n    if (!this._isNumstr(str)) {\n      return this.reporter.error('Encoding of string type: numstr supports ' +\n                                 'only digits and space');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'printstr') {\n    if (!this._isPrintstr(str)) {\n      return this.reporter.error('Encoding of string type: printstr supports ' +\n                                 'only latin upper and lower case letters, ' +\n                                 'digits, space, apostrophe, left and rigth ' +\n                                 'parenthesis, plus sign, comma, hyphen, ' +\n                                 'dot, slash, colon, equal sign, ' +\n                                 'question mark');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (/str$/.test(tag)) {\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'objDesc') {\n    return this._createEncoderBuffer(str);\n  } else {\n    return this.reporter.error('Encoding of string type: ' + tag +\n                               ' unsupported');\n  }\n};\n\nDERNode.prototype._encodeObjid = function encodeObjid(id, values, relative) {\n  if (typeof id === 'string') {\n    if (!values)\n      return this.reporter.error('string objid given, but no values map found');\n    if (!values.hasOwnProperty(id))\n      return this.reporter.error('objid not found in values map');\n    id = values[id].split(/[\\s\\.]+/g);\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  } else if (Array.isArray(id)) {\n    id = id.slice();\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  }\n\n  if (!Array.isArray(id)) {\n    return this.reporter.error('objid() should be either array or string, ' +\n                               'got: ' + JSON.stringify(id));\n  }\n\n  if (!relative) {\n    if (id[1] >= 40)\n      return this.reporter.error('Second objid identifier OOB');\n    id.splice(0, 2, id[0] * 40 + id[1]);\n  }\n\n  // Count number of octets\n  var size = 0;\n  for (var i = 0; i < id.length; i++) {\n    var ident = id[i];\n    for (size++; ident >= 0x80; ident >>= 7)\n      size++;\n  }\n\n  var objid = new Buffer(size);\n  var offset = objid.length - 1;\n  for (var i = id.length - 1; i >= 0; i--) {\n    var ident = id[i];\n    objid[offset--] = ident & 0x7f;\n    while ((ident >>= 7) > 0)\n      objid[offset--] = 0x80 | (ident & 0x7f);\n  }\n\n  return this._createEncoderBuffer(objid);\n};\n\nfunction two(num) {\n  if (num < 10)\n    return '0' + num;\n  else\n    return num;\n}\n\nDERNode.prototype._encodeTime = function encodeTime(time, tag) {\n  var str;\n  var date = new Date(time);\n\n  if (tag === 'gentime') {\n    str = [\n      two(date.getFullYear()),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else if (tag === 'utctime') {\n    str = [\n      two(date.getFullYear() % 100),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else {\n    this.reporter.error('Encoding ' + tag + ' time is not supported yet');\n  }\n\n  return this._encodeStr(str, 'octstr');\n};\n\nDERNode.prototype._encodeNull = function encodeNull() {\n  return this._createEncoderBuffer('');\n};\n\nDERNode.prototype._encodeInt = function encodeInt(num, values) {\n  if (typeof num === 'string') {\n    if (!values)\n      return this.reporter.error('String int or enum given, but no values map');\n    if (!values.hasOwnProperty(num)) {\n      return this.reporter.error('Values map doesn\\'t contain: ' +\n                                 JSON.stringify(num));\n    }\n    num = values[num];\n  }\n\n  // Bignum, assume big endian\n  if (typeof num !== 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diff --git a/tictac/.cache/6f9baae18def179fd5bbf68bfeb5e1fa.json b/tictac/.cache/6f9baae18def179fd5bbf68bfeb5e1fa.json
new file mode 100644
index 00000000..24fe467f
--- /dev/null
+++ b/tictac/.cache/6f9baae18def179fd5bbf68bfeb5e1fa.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/cipher-base/package.json","includedInParent":true,"mtime":1499342659000},{"name":"safe-buffer","loc":{"line":1,"column":21}},{"name":"stream","loc":{"line":2,"column":24}},{"name":"string_decoder","loc":{"line":3,"column":28}},{"name":"inherits","loc":{"line":4,"column":23}}],"generated":{"js":"\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar StringDecoder = require('string_decoder').StringDecoder\nvar inherits = require('inherits')\n\nfunction CipherBase (hashMode) {\n  Transform.call(this)\n  this.hashMode = typeof hashMode === 'string'\n  if (this.hashMode) {\n    this[hashMode] = this._finalOrDigest\n  } else {\n    this.final = this._finalOrDigest\n  }\n  if (this._final) {\n    this.__final = this._final\n    this._final = null\n  }\n  this._decoder = null\n  this._encoding = null\n}\ninherits(CipherBase, Transform)\n\nCipherBase.prototype.update = function (data, inputEnc, outputEnc) {\n  if (typeof data === 'string') {\n    data = Buffer.from(data, inputEnc)\n  }\n\n  var outData = this._update(data)\n  if (this.hashMode) return this\n\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc)\n  }\n\n  return outData\n}\n\nCipherBase.prototype.setAutoPadding = function () {}\nCipherBase.prototype.getAuthTag = function () {\n  throw new Error('trying to get auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAuthTag = function () {\n  throw new Error('trying to set auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAAD = function () {\n  throw new Error('trying to set aad in unsupported state')\n}\n\nCipherBase.prototype._transform = function (data, _, next) {\n  var err\n  try {\n    if (this.hashMode) {\n      this._update(data)\n    } else {\n      this.push(this._update(data))\n    }\n  } catch (e) {\n    err = e\n  } finally {\n    next(err)\n  }\n}\nCipherBase.prototype._flush = function (done) {\n  var err\n  try {\n    this.push(this.__final())\n  } catch (e) {\n    err = e\n  }\n\n  done(err)\n}\nCipherBase.prototype._finalOrDigest = function (outputEnc) {\n  var outData = this.__final() || Buffer.alloc(0)\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc, true)\n  }\n  return outData\n}\n\nCipherBase.prototype._toString = function (value, enc, fin) {\n  if (!this._decoder) {\n    this._decoder = new StringDecoder(enc)\n    this._encoding = enc\n  }\n\n  if (this._encoding !== enc) throw new Error('can\\'t switch encodings')\n\n  var out = this._decoder.write(value)\n  if (fin) {\n    out += this._decoder.end()\n  }\n\n  return out\n}\n\nmodule.exports = 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Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar StringDecoder = require('string_decoder').StringDecoder\nvar inherits = require('inherits')\n\nfunction CipherBase (hashMode) {\n  Transform.call(this)\n  this.hashMode = typeof hashMode === 'string'\n  if (this.hashMode) {\n    this[hashMode] = this._finalOrDigest\n  } else {\n    this.final = this._finalOrDigest\n  }\n  if (this._final) {\n    this.__final = this._final\n    this._final = null\n  }\n  this._decoder = null\n  this._encoding = null\n}\ninherits(CipherBase, Transform)\n\nCipherBase.prototype.update = function (data, inputEnc, outputEnc) {\n  if (typeof data === 'string') {\n    data = Buffer.from(data, inputEnc)\n  }\n\n  var outData = this._update(data)\n  if (this.hashMode) return this\n\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc)\n  }\n\n  return outData\n}\n\nCipherBase.prototype.setAutoPadding = function () {}\nCipherBase.prototype.getAuthTag = function () {\n  throw new Error('trying to get auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAuthTag = function () {\n  throw new Error('trying to set auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAAD = function () {\n  throw new Error('trying to set aad in unsupported state')\n}\n\nCipherBase.prototype._transform = function (data, _, next) {\n  var err\n  try {\n    if (this.hashMode) {\n      this._update(data)\n    } else {\n      this.push(this._update(data))\n    }\n  } catch (e) {\n    err = e\n  } finally {\n    next(err)\n  }\n}\nCipherBase.prototype._flush = function (done) {\n  var err\n  try {\n    this.push(this.__final())\n  } catch (e) {\n    err = e\n  }\n\n  done(err)\n}\nCipherBase.prototype._finalOrDigest = function (outputEnc) {\n  var outData = this.__final() || Buffer.alloc(0)\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc, true)\n  }\n  return outData\n}\n\nCipherBase.prototype._toString = function (value, enc, fin) {\n  if (!this._decoder) {\n    this._decoder = new StringDecoder(enc)\n    this._encoding = enc\n  }\n\n  if (this._encoding !== enc) throw new Error('can\\'t switch encodings')\n\n  var out = this._decoder.write(value)\n  if (fin) {\n    out += this._decoder.end()\n  }\n\n  return out\n}\n\nmodule.exports = CipherBase\n"},"lineCount":101}},"hash":"5e68d5a3a3216f6a70c88d690db02fde","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/71300c2182cde9a82a2db1fa792cf1ad.json b/tictac/.cache/71300c2182cde9a82a2db1fa792cf1ad.json
new file mode 100644
index 00000000..02da3252
--- /dev/null
+++ b/tictac/.cache/71300c2182cde9a82a2db1fa792cf1ad.json
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new file mode 100644
index 00000000..73b6a4f0
--- /dev/null
+++ b/tictac/.cache/7271ea9d422b66aec415bc35f1165ff7.json
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from https://github.com/Rantanen/node-dtls/blob/25a7dc861bda38cfeac93a723500eea4f0ac2e86/Certificate.js\n// thanks to @Rantanen\n\n'use strict'\n\nvar asn = require('asn1.js')\n\nvar Time = asn.define('Time', function () {\n  this.choice({\n    utcTime: this.utctime(),\n    generalTime: this.gentime()\n  })\n})\n\nvar AttributeTypeValue = asn.define('AttributeTypeValue', function () {\n  this.seq().obj(\n    this.key('type').objid(),\n    this.key('value').any()\n  )\n})\n\nvar AlgorithmIdentifier = asn.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('parameters').optional()\n  )\n})\n\nvar SubjectPublicKeyInfo = asn.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\n\nvar RelativeDistinguishedName = asn.define('RelativeDistinguishedName', function () {\n  this.setof(AttributeTypeValue)\n})\n\nvar RDNSequence = asn.define('RDNSequence', function () {\n  this.seqof(RelativeDistinguishedName)\n})\n\nvar Name = asn.define('Name', function () {\n  this.choice({\n    rdnSequence: this.use(RDNSequence)\n  })\n})\n\nvar Validity = asn.define('Validity', function () {\n  this.seq().obj(\n    this.key('notBefore').use(Time),\n    this.key('notAfter').use(Time)\n  )\n})\n\nvar Extension = asn.define('Extension', function () {\n  this.seq().obj(\n    this.key('extnID').objid(),\n    this.key('critical').bool().def(false),\n    this.key('extnValue').octstr()\n  )\n})\n\nvar TBSCertificate = asn.define('TBSCertificate', function () {\n  this.seq().obj(\n    this.key('version').explicit(0).int(),\n    this.key('serialNumber').int(),\n    this.key('signature').use(AlgorithmIdentifier),\n    this.key('issuer').use(Name),\n    this.key('validity').use(Validity),\n    this.key('subject').use(Name),\n    this.key('subjectPublicKeyInfo').use(SubjectPublicKeyInfo),\n    this.key('issuerUniqueID').implicit(1).bitstr().optional(),\n    this.key('subjectUniqueID').implicit(2).bitstr().optional(),\n    this.key('extensions').explicit(3).seqof(Extension).optional()\n  )\n})\n\nvar X509Certificate = asn.define('X509Certificate', function () {\n  this.seq().obj(\n    this.key('tbsCertificate').use(TBSCertificate),\n    this.key('signatureAlgorithm').use(AlgorithmIdentifier),\n    this.key('signatureValue').bitstr()\n  )\n})\n\nmodule.exports = X509Certificate\n"},"lineCount":89}},"hash":"e36ef004f900d0dd58b1bfe93bd9b1a5","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/728ce2e965a4ca0f289b97b7fcf40cfb.json b/tictac/.cache/728ce2e965a4ca0f289b97b7fcf40cfb.json
new file mode 100644
index 00000000..49eebcc0
--- /dev/null
+++ b/tictac/.cache/728ce2e965a4ca0f289b97b7fcf40cfb.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"./aes","loc":{"line":1,"column":18}},{"name":"safe-buffer","loc":{"line":2,"column":21}},{"name":"cipher-base","loc":{"line":3,"column":24}},{"name":"inherits","loc":{"line":4,"column":23}},{"name":"./ghash","loc":{"line":5,"column":20}},{"name":"buffer-xor","loc":{"line":6,"column":18}},{"name":"./incr32","loc":{"line":7,"column":21}}],"generated":{"js":"\nvar aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\nvar GHASH = require('./ghash')\nvar xor = require('buffer-xor')\nvar incr32 = require('./incr32')\n\nfunction xorTest (a, b) {\n  var out = 0\n  if (a.length !== b.length) out++\n\n  var len = Math.min(a.length, b.length)\n  for (var i = 0; i < len; ++i) {\n    out += (a[i] ^ b[i])\n  }\n\n  return out\n}\n\nfunction calcIv (self, iv, ck) {\n  if (iv.length === 12) {\n    self._finID = Buffer.concat([iv, Buffer.from([0, 0, 0, 1])])\n    return Buffer.concat([iv, Buffer.from([0, 0, 0, 2])])\n  }\n  var ghash = new GHASH(ck)\n  var len = iv.length\n  var toPad = len % 16\n  ghash.update(iv)\n  if (toPad) {\n    toPad = 16 - toPad\n    ghash.update(Buffer.alloc(toPad, 0))\n  }\n  ghash.update(Buffer.alloc(8, 0))\n  var ivBits = len * 8\n  var tail = Buffer.alloc(8)\n  tail.writeUIntBE(ivBits, 0, 8)\n  ghash.update(tail)\n  self._finID = ghash.state\n  var out = Buffer.from(self._finID)\n  incr32(out)\n  return out\n}\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  var h = Buffer.alloc(4, 0)\n\n  this._cipher = new aes.AES(key)\n  var ck = this._cipher.encryptBlock(h)\n  this._ghash = new GHASH(ck)\n  iv = calcIv(this, iv, ck)\n\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._alen = 0\n  this._len = 0\n  this._mode = mode\n\n  this._authTag = null\n  this._called = false\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  if (!this._called && this._alen) {\n    var rump = 16 - (this._alen % 16)\n    if (rump < 16) {\n      rump = Buffer.alloc(rump, 0)\n      this._ghash.update(rump)\n    }\n  }\n\n  this._called = true\n  var out = this._mode.encrypt(this, chunk)\n  if (this._decrypt) {\n    this._ghash.update(chunk)\n  } else {\n    this._ghash.update(out)\n  }\n  this._len += chunk.length\n  return out\n}\n\nStreamCipher.prototype._final = function () {\n  if (this._decrypt && !this._authTag) throw new Error('Unsupported state or unable to authenticate data')\n\n  var tag = xor(this._ghash.final(this._alen * 8, this._len * 8), this._cipher.encryptBlock(this._finID))\n  if 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= require('diffie-hellman')\n\nexports.DiffieHellmanGroup = dh.DiffieHellmanGroup\nexports.createDiffieHellmanGroup = dh.createDiffieHellmanGroup\nexports.getDiffieHellman = dh.getDiffieHellman\nexports.createDiffieHellman = dh.createDiffieHellman\nexports.DiffieHellman = dh.DiffieHellman\n\nvar sign = require('browserify-sign')\n\nexports.createSign = sign.createSign\nexports.Sign = sign.Sign\nexports.createVerify = sign.createVerify\nexports.Verify = sign.Verify\n\nexports.createECDH = require('create-ecdh')\n\nvar publicEncrypt = require('public-encrypt')\n\nexports.publicEncrypt = publicEncrypt.publicEncrypt\nexports.privateEncrypt = publicEncrypt.privateEncrypt\nexports.publicDecrypt = publicEncrypt.publicDecrypt\nexports.privateDecrypt = publicEncrypt.privateDecrypt\n\n// the least I can do is make error messages for the rest of the node.js/crypto api.\n// ;[\n//   'createCredentials'\n// ].forEach(function (name) {\n//   exports[name] = function () {\n//     throw new Error([\n//       'sorry, ' + name + ' is not implemented yet',\n//       'we accept pull requests',\n//       'https://github.com/crypto-browserify/crypto-browserify'\n//     ].join('\\n'))\n//   }\n// })\n\nvar rf = require('randomfill')\n\nexports.randomFill = rf.randomFill\nexports.randomFillSync = rf.randomFillSync\n\nexports.createCredentials = function () {\n  throw new Error([\n    'sorry, createCredentials is not implemented yet',\n    'we accept pull requests',\n    'https://github.com/crypto-browserify/crypto-browserify'\n  ].join('\\n'))\n}\n\nexports.constants = {\n  'DH_CHECK_P_NOT_SAFE_PRIME': 2,\n  'DH_CHECK_P_NOT_PRIME': 1,\n  'DH_UNABLE_TO_CHECK_GENERATOR': 4,\n  'DH_NOT_SUITABLE_GENERATOR': 8,\n  'NPN_ENABLED': 1,\n  'ALPN_ENABLED': 1,\n  'RSA_PKCS1_PADDING': 1,\n  'RSA_SSLV23_PADDING': 2,\n  'RSA_NO_PADDING': 3,\n  'RSA_PKCS1_OAEP_PADDING': 4,\n  'RSA_X931_PADDING': 5,\n  'RSA_PKCS1_PSS_PADDING': 6,\n  'POINT_CONVERSION_COMPRESSED': 2,\n  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\ No newline at end of file
diff --git a/tictac/.cache/7d6b073a79d1eab818c2716a66a3c8b6.json b/tictac/.cache/7d6b073a79d1eab818c2716a66a3c8b6.json
new file mode 100644
index 00000000..6e3e3965
--- /dev/null
+++ b/tictac/.cache/7d6b073a79d1eab818c2716a66a3c8b6.json
@@ -0,0 +1 @@
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inherits = require('inherits')\n\nfunction Cipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Cipher, Transform)\n\nCipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n\n  while ((chunk = this._cache.get())) {\n    thing = this._mode.encrypt(this, chunk)\n    out.push(thing)\n  }\n\n  return Buffer.concat(out)\n}\n\nvar PADDING = Buffer.alloc(16, 0x10)\n\nCipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    chunk = this._mode.encrypt(this, chunk)\n    this._cipher.scrub()\n    return chunk\n  }\n\n  if (!chunk.equals(PADDING)) {\n    this._cipher.scrub()\n    throw new Error('data not multiple of block length')\n  }\n}\n\nCipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  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(!config) throw new TypeError('invalid suite type')\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv)\n  }\n\n  return new Cipher(config.module, password, iv)\n}\n\nfunction createCipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createCipheriv = createCipheriv\nexports.createCipher = 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\ No newline at end of file
diff --git a/tictac/.cache/7ee11e6ca8dbac33bc333396ab7cda9e.json b/tictac/.cache/7ee11e6ca8dbac33bc333396ab7cda9e.json
new file mode 100644
index 00000000..8985b1c6
--- /dev/null
+++ b/tictac/.cache/7ee11e6ca8dbac33bc333396ab7cda9e.json
@@ -0,0 +1 @@
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inherits = require('inherits')\n\nfunction Decipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._last = void 0\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Decipher, Transform)\n\nDecipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n  while ((chunk = this._cache.get(this._autopadding))) {\n    thing = this._mode.decrypt(this, chunk)\n    out.push(thing)\n  }\n  return Buffer.concat(out)\n}\n\nDecipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    return unpad(this._mode.decrypt(this, chunk))\n  } else if (chunk) {\n    throw new Error('data not multiple of block length')\n  }\n}\n\nDecipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = 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diff --git a/tictac/.cache/804a30856c89711f6c105dbf1b5a86b1.json b/tictac/.cache/804a30856c89711f6c105dbf1b5a86b1.json
new file mode 100644
index 00000000..de9c0ae3
--- /dev/null
+++ b/tictac/.cache/804a30856c89711f6c105dbf1b5a86b1.json
@@ -0,0 +1 @@
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index 00000000..ba060fcf
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+++ b/tictac/.cache/81a822dbe1b312cd768bad53360300bf.json
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new file mode 100644
index 00000000..45687a16
--- /dev/null
+++ b/tictac/.cache/83089b5ebcce827fb7378410f27d4106.json
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diff --git a/tictac/.cache/8331bb888ab9687afdd2e724bfd89329.json b/tictac/.cache/8331bb888ab9687afdd2e724bfd89329.json
new file mode 100644
index 00000000..3cc8e7b8
--- /dev/null
+++ b/tictac/.cache/8331bb888ab9687afdd2e724bfd89329.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/elliptic/package.json","includedInParent":true,"mtime":1487798844000},{"name":"../curve","loc":{"line":3,"column":20}},{"name":"../../elliptic","loc":{"line":4,"column":23}},{"name":"bn.js","loc":{"line":5,"column":17}},{"name":"inherits","loc":{"line":6,"column":23}}],"generated":{"js":"'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction EdwardsCurve(conf) {\n  // NOTE: Important as we are creating point in Base.call()\n  this.twisted = (conf.a | 0) !== 1;\n  this.mOneA = this.twisted && (conf.a | 0) === -1;\n  this.extended = this.mOneA;\n\n  Base.call(this, 'edwards', conf);\n\n  this.a = 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this.c2.redSub(this.a.redMul(x2));\n  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));\n\n  var y2 = rhs.redMul(lhs.redInvm());\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {\n  y = new BN(y, 16);\n  if (!y.red)\n    y = y.toRed(this.red);\n\n  // x^2 = (y^2 - 1) / (d y^2 + 1)\n  var y2 = y.redSqr();\n  var lhs = y2.redSub(this.one);\n  var rhs = y2.redMul(this.d).redAdd(this.one);\n  var x2 = lhs.redMul(rhs.redInvm());\n\n  if (x2.cmp(this.zero) === 0) {\n    if (odd)\n      throw new Error('invalid point');\n    else\n      return this.point(this.zero, y);\n  }\n\n  var x = x2.redSqrt();\n  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  if (x.isOdd() !== odd)\n    x = x.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.validate = function validate(point) {\n  if (point.isInfinity())\n    return true;\n\n  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)\n  point.normalize();\n\n  var x2 = point.x.redSqr();\n  var y2 = point.y.redSqr();\n  var lhs = x2.redMul(this.a).redAdd(y2);\n  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));\n\n  return lhs.cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, y, z, t) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.zero;\n    this.y = this.curve.one;\n    this.z = this.curve.one;\n    this.t = this.curve.zero;\n    this.zOne = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = z ? new BN(z, 16) : this.curve.one;\n    this.t = t && new BN(t, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n    if (this.t && !this.t.red)\n      this.t = this.t.toRed(this.curve.red);\n    this.zOne = this.z === this.curve.one;\n\n    // Use extended coordinates\n    if (this.curve.extended && !this.t) {\n      this.t = this.x.redMul(this.y);\n      if (!this.zOne)\n        this.t = this.t.redMul(this.z.redInvm());\n    }\n  }\n}\ninherits(Point, Base.BasePoint);\n\nEdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nEdwardsCurve.prototype.point = function point(x, y, z, t) {\n  return new Point(this, x, y, z, t);\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1], obj[2]);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.x.cmpn(0) === 0 &&\n         this.y.cmp(this.z) === 0;\n};\n\nPoint.prototype._extDbl = function _extDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #doubling-dbl-2008-hwcd\n  // 4M + 4S\n\n  // A = X1^2\n  var a = this.x.redSqr();\n  // B = Y1^2\n  var b = this.y.redSqr();\n  // C = 2 * Z1^2\n  var c = this.z.redSqr();\n  c = c.redIAdd(c);\n  // D = a * A\n  var d = this.curve._mulA(a);\n  // E = (X1 + Y1)^2 - A - B\n  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);\n  // G = D + B\n  var g = d.redAdd(b);\n  // F = G - C\n  var f = g.redSub(c);\n  // H = D - B\n  var h = d.redSub(b);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projDbl = function _projDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #doubling-dbl-2008-bbjlp\n  //     #doubling-dbl-2007-bl\n  // and others\n  // Generally 3M + 4S or 2M + 4S\n\n  // B = (X1 + Y1)^2\n  var b = this.x.redAdd(this.y).redSqr();\n  // C = X1^2\n  var c = this.x.redSqr();\n  // D = Y1^2\n  var d = this.y.redSqr();\n\n  var nx;\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // E = a * C\n    var e = this.curve._mulA(c);\n    // F = E + D\n    var f = e.redAdd(d);\n    if (this.zOne) {\n      // X3 = (B - C - D) * (F - 2)\n      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F^2 - 2 * F\n      nz = f.redSqr().redSub(f).redSub(f);\n    } else {\n      // H = Z1^2\n      var h = this.z.redSqr();\n      // J = F - 2 * H\n      var j = f.redSub(h).redISub(h);\n      // X3 = (B-C-D)*J\n      nx = b.redSub(c).redISub(d).redMul(j);\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F * J\n      nz = f.redMul(j);\n    }\n  } else {\n    // E = C + D\n    var e = c.redAdd(d);\n    // H = (c * Z1)^2\n    var h = this.curve._mulC(this.c.redMul(this.z)).redSqr();\n    // J = E - 2 * H\n    var j = e.redSub(h).redSub(h);\n    // X3 = c * (B - E) * J\n    nx = this.curve._mulC(b.redISub(e)).redMul(j);\n    // Y3 = c * E * (C - D)\n    ny = this.curve._mulC(e).redMul(c.redISub(d));\n    // Z3 = E * J\n    nz = e.redMul(j);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  // Double in extended coordinates\n  if (this.curve.extended)\n    return this._extDbl();\n  else\n    return this._projDbl();\n};\n\nPoint.prototype._extAdd = function _extAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #addition-add-2008-hwcd-3\n  // 8M\n\n  // A = (Y1 - X1) * (Y2 - X2)\n  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));\n  // B = (Y1 + X1) * (Y2 + X2)\n  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));\n  // C = T1 * k * T2\n  var c = this.t.redMul(this.curve.dd).redMul(p.t);\n  // D = Z1 * 2 * Z2\n  var d = this.z.redMul(p.z.redAdd(p.z));\n  // E = B - A\n  var e = b.redSub(a);\n  // F = D - C\n  var f = d.redSub(c);\n  // G = D + C\n  var g = d.redAdd(c);\n  // H = B + A\n  var h = b.redAdd(a);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projAdd = function _projAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #addition-add-2008-bbjlp\n  //     #addition-add-2007-bl\n  // 10M + 1S\n\n  // A = Z1 * Z2\n  var a = this.z.redMul(p.z);\n  // B = A^2\n  var b = a.redSqr();\n  // C = X1 * X2\n  var c = this.x.redMul(p.x);\n  // D = Y1 * Y2\n  var d = this.y.redMul(p.y);\n  // E = d * C * D\n  var e = this.curve.d.redMul(c).redMul(d);\n  // F = B - E\n  var f = b.redSub(e);\n  // G = B + E\n  var g = b.redAdd(e);\n  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)\n  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);\n  var nx = a.redMul(f).redMul(tmp);\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // Y3 = A * G * (D - a * C)\n    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));\n    // Z3 = F * G\n    nz = f.redMul(g);\n  } else {\n    // Y3 = A * G * (D - C)\n    ny = a.redMul(g).redMul(d.redSub(c));\n    // Z3 = c * F * G\n    nz = this.curve._mulC(f).redMul(g);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.add = function add(p) {\n  if (this.isInfinity())\n    return p;\n  if (p.isInfinity())\n    return this;\n\n  if (this.curve.extended)\n    return 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strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction EdwardsCurve(conf) {\n  // NOTE: Important as we are creating point in Base.call()\n  this.twisted = (conf.a | 0) !== 1;\n  this.mOneA = this.twisted && (conf.a | 0) === -1;\n  this.extended = this.mOneA;\n\n  Base.call(this, 'edwards', conf);\n\n  this.a = new BN(conf.a, 16).umod(this.red.m);\n  this.a = this.a.toRed(this.red);\n  this.c = new BN(conf.c, 16).toRed(this.red);\n  this.c2 = this.c.redSqr();\n  this.d = new BN(conf.d, 16).toRed(this.red);\n  this.dd = this.d.redAdd(this.d);\n\n  assert(!this.twisted || this.c.fromRed().cmpn(1) === 0);\n  this.oneC = (conf.c | 0) === 1;\n}\ninherits(EdwardsCurve, Base);\nmodule.exports = EdwardsCurve;\n\nEdwardsCurve.prototype._mulA = function _mulA(num) {\n  if (this.mOneA)\n    return num.redNeg();\n  else\n    return this.a.redMul(num);\n};\n\nEdwardsCurve.prototype._mulC = function _mulC(num) {\n  if (this.oneC)\n    return num;\n  else\n    return this.c.redMul(num);\n};\n\n// Just for compatibility with Short curve\nEdwardsCurve.prototype.jpoint = function jpoint(x, y, z, t) {\n  return this.point(x, y, z, t);\n};\n\nEdwardsCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var x2 = x.redSqr();\n  var rhs = this.c2.redSub(this.a.redMul(x2));\n  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));\n\n  var y2 = rhs.redMul(lhs.redInvm());\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {\n  y = new BN(y, 16);\n  if (!y.red)\n    y = y.toRed(this.red);\n\n  // x^2 = (y^2 - 1) / (d y^2 + 1)\n  var y2 = y.redSqr();\n  var lhs = y2.redSub(this.one);\n  var rhs = y2.redMul(this.d).redAdd(this.one);\n  var x2 = lhs.redMul(rhs.redInvm());\n\n  if (x2.cmp(this.zero) === 0) {\n    if (odd)\n      throw new Error('invalid point');\n    else\n      return this.point(this.zero, y);\n  }\n\n  var x = x2.redSqrt();\n  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  if (x.isOdd() !== odd)\n    x = x.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.validate = function validate(point) {\n  if (point.isInfinity())\n    return true;\n\n  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)\n  point.normalize();\n\n  var x2 = point.x.redSqr();\n  var y2 = point.y.redSqr();\n  var lhs = x2.redMul(this.a).redAdd(y2);\n  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));\n\n  return lhs.cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, y, z, t) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.zero;\n    this.y = this.curve.one;\n    this.z = this.curve.one;\n    this.t = this.curve.zero;\n    this.zOne = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = z ? new BN(z, 16) : this.curve.one;\n    this.t = t && new BN(t, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n    if (this.t && !this.t.red)\n      this.t = this.t.toRed(this.curve.red);\n    this.zOne = this.z === this.curve.one;\n\n    // Use extended coordinates\n    if (this.curve.extended && !this.t) {\n      this.t = this.x.redMul(this.y);\n      if (!this.zOne)\n        this.t = this.t.redMul(this.z.redInvm());\n    }\n  }\n}\ninherits(Point, Base.BasePoint);\n\nEdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nEdwardsCurve.prototype.point = function point(x, y, z, t) {\n  return new Point(this, x, y, z, t);\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1], obj[2]);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.x.cmpn(0) === 0 &&\n         this.y.cmp(this.z) === 0;\n};\n\nPoint.prototype._extDbl = function _extDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #doubling-dbl-2008-hwcd\n  // 4M + 4S\n\n  // A = X1^2\n  var a = this.x.redSqr();\n  // B = Y1^2\n  var b = this.y.redSqr();\n  // C = 2 * Z1^2\n  var c = this.z.redSqr();\n  c = c.redIAdd(c);\n  // D = a * A\n  var d = this.curve._mulA(a);\n  // E = (X1 + Y1)^2 - A - B\n  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);\n  // G = D + B\n  var g = d.redAdd(b);\n  // F = G - C\n  var f = g.redSub(c);\n  // H = D - B\n  var h = d.redSub(b);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projDbl = function _projDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #doubling-dbl-2008-bbjlp\n  //     #doubling-dbl-2007-bl\n  // and others\n  // Generally 3M + 4S or 2M + 4S\n\n  // B = (X1 + Y1)^2\n  var b = this.x.redAdd(this.y).redSqr();\n  // C = X1^2\n  var c = this.x.redSqr();\n  // D = Y1^2\n  var d = this.y.redSqr();\n\n  var nx;\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // E = a * C\n    var e = this.curve._mulA(c);\n    // F = E + D\n    var f = e.redAdd(d);\n    if (this.zOne) {\n      // X3 = (B - C - D) * (F - 2)\n      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F^2 - 2 * F\n      nz = f.redSqr().redSub(f).redSub(f);\n    } else {\n      // H = Z1^2\n      var h = this.z.redSqr();\n      // J = F - 2 * H\n      var j = f.redSub(h).redISub(h);\n      // X3 = (B-C-D)*J\n      nx = b.redSub(c).redISub(d).redMul(j);\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F * J\n      nz = f.redMul(j);\n    }\n  } else {\n    // E = C + D\n    var e = c.redAdd(d);\n    // H = (c * Z1)^2\n    var h = this.curve._mulC(this.c.redMul(this.z)).redSqr();\n    // J = E - 2 * H\n    var j = e.redSub(h).redSub(h);\n    // X3 = c * (B - E) * J\n    nx = this.curve._mulC(b.redISub(e)).redMul(j);\n    // Y3 = c * E * (C - D)\n    ny = this.curve._mulC(e).redMul(c.redISub(d));\n    // Z3 = E * J\n    nz = e.redMul(j);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  // Double in extended coordinates\n  if (this.curve.extended)\n    return this._extDbl();\n  else\n    return this._projDbl();\n};\n\nPoint.prototype._extAdd = function _extAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #addition-add-2008-hwcd-3\n  // 8M\n\n  // A = (Y1 - X1) * (Y2 - X2)\n  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));\n  // B = (Y1 + X1) * (Y2 + X2)\n  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));\n  // C = T1 * k * T2\n  var c = this.t.redMul(this.curve.dd).redMul(p.t);\n  // D = Z1 * 2 * Z2\n  var d = this.z.redMul(p.z.redAdd(p.z));\n  // E = B - A\n  var e = b.redSub(a);\n  // F = D - C\n  var f = d.redSub(c);\n  // G = D + C\n  var g = d.redAdd(c);\n  // H = B + A\n  var h = b.redAdd(a);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projAdd = function _projAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #addition-add-2008-bbjlp\n  //     #addition-add-2007-bl\n  // 10M + 1S\n\n  // A = Z1 * Z2\n  var a = this.z.redMul(p.z);\n  // B = A^2\n  var b = a.redSqr();\n  // C = X1 * X2\n  var c = this.x.redMul(p.x);\n  // D = Y1 * Y2\n  var d = this.y.redMul(p.y);\n  // E = d * C * D\n  var e = this.curve.d.redMul(c).redMul(d);\n  // F = B - E\n  var f = b.redSub(e);\n  // G = B + E\n  var g = b.redAdd(e);\n  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)\n  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);\n  var nx = a.redMul(f).redMul(tmp);\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // Y3 = A * G * (D - a * C)\n    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));\n    // Z3 = F * G\n    nz = f.redMul(g);\n  } else {\n    // Y3 = A * G * (D - C)\n    ny = a.redMul(g).redMul(d.redSub(c));\n    // Z3 = c * F * G\n    nz = this.curve._mulC(f).redMul(g);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.add = function add(p) {\n  if (this.isInfinity())\n    return p;\n  if (p.isInfinity())\n    return this;\n\n  if (this.curve.extended)\n    return this._extAdd(p);\n  else\n    return this._projAdd(p);\n};\n\nPoint.prototype.mul = function mul(k) {\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, false);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, true);\n};\n\nPoint.prototype.normalize = function normalize() {\n  if (this.zOne)\n    return this;\n\n  // Normalize coordinates\n  var zi = this.z.redInvm();\n  this.x = this.x.redMul(zi);\n  this.y = this.y.redMul(zi);\n  if (this.t)\n    this.t = this.t.redMul(zi);\n  this.z = this.curve.one;\n  this.zOne = true;\n  return this;\n};\n\nPoint.prototype.neg = function neg() {\n  return this.curve.point(this.x.redNeg(),\n                          this.y,\n                          this.z,\n                          this.t && this.t.redNeg());\n};\n\nPoint.prototype.getX = function getX() {\n  this.normalize();\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  this.normalize();\n  return this.y.fromRed();\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this === other ||\n         this.getX().cmp(other.getX()) === 0 &&\n         this.getY().cmp(other.getY()) === 0;\n};\n\nPoint.prototype.eqXToP = function eqXToP(x) {\n  var rx = x.toRed(this.curve.red).redMul(this.z);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(this.z);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n  return false;\n};\n\n// Compatibility with BaseCurve\nPoint.prototype.toP = Point.prototype.normalize;\nPoint.prototype.mixedAdd = Point.prototype.add;\n"},"lineCount":434}},"hash":"876e28b06e7e3bf09dc64be2add61f74","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/83f55cc4200f2ce346d84afb2baa89aa.json b/tictac/.cache/83f55cc4200f2ce346d84afb2baa89aa.json
new file mode 100644
index 00000000..160c6940
--- /dev/null
+++ b/tictac/.cache/83f55cc4200f2ce346d84afb2baa89aa.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/readable-stream/package.json","includedInParent":true,"mtime":499162500000},{"name":"process-nextick-args","loc":{"line":26,"column":18}},{"name":"isarray","loc":{"line":32,"column":22}},{"name":"events","loc":{"line":42,"column":17}},{"name":"./internal/streams/stream","loc":{"line":50,"column":21}},{"name":"safe-buffer","loc":{"line":55,"column":21}},{"name":"core-util-is","loc":{"line":67,"column":19}},{"name":"inherits","loc":{"line":68,"column":24}},{"name":"util","loc":{"line":72,"column":24}},{"name":"./internal/streams/BufferList","loc":{"line":81,"column":25}},{"name":"./internal/streams/destroy","loc":{"line":82,"column":26}},{"name":"./_stream_duplex","loc":{"line":179,"column":29}},{"name":"string_decoder/","loc":{"line":328,"column":46}},{"name":"process"}],"generated":{"js":"\nvar global = arguments[3];\nvar process = require(\"process\");\n// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Readable;\n\n/*<replacement>*/\nvar isArray = require('isarray');\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nReadable.ReadableState = ReadableState;\n\n/*<replacement>*/\nvar EE = require('events').EventEmitter;\n\nvar EElistenerCount = function (emitter, type) {\n  return emitter.listeners(type).length;\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar debugUtil = require('util');\nvar debug = void 0;\nif (debugUtil && debugUtil.debuglog) {\n  debug = debugUtil.debuglog('stream');\n} else {\n  debug = function () {};\n}\n/*</replacement>*/\n\nvar BufferList = require('./internal/streams/BufferList');\nvar destroyImpl = require('./internal/streams/destroy');\nvar StringDecoder;\n\nutil.inherits(Readable, Stream);\n\nvar kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];\n\nfunction prependListener(emitter, event, fn) {\n  // Sadly this is not cacheable as some libraries bundle their own\n  // event emitter implementation with them.\n  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);\n\n  // This is a hack to make sure that our error handler is attached before any\n  // userland ones.  NEVER DO THIS. This is here only because this code needs\n  // to continue to work with older versions of Node.js that do not include\n  // the prependListener() method. The goal is to eventually remove this hack.\n  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];\n}\n\nfunction ReadableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag. Used to make read(n) ignore n and to\n  // make all the buffer merging and length checks go away\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;\n\n  // the point at which it stops calling _read() to fill the buffer\n  // Note: 0 is a valid value, means \"don't call _read preemptively ever\"\n  var hwm = options.highWaterMark;\n  var readableHwm = options.readableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // A linked list is used to store data chunks instead of an array because the\n  // linked list can remove elements from the beginning faster than\n  // array.shift()\n  this.buffer = new BufferList();\n  this.length = 0;\n  this.pipes = null;\n  this.pipesCount = 0;\n  this.flowing = null;\n  this.ended = false;\n  this.endEmitted = false;\n  this.reading = false;\n\n  // a flag to be able to tell if the event 'readable'/'data' is emitted\n  // immediately, or on a later tick.  We set this to true at first, because\n  // any actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first read call.\n  this.sync = true;\n\n  // whenever we return null, then we set a flag to say\n  // that we're awaiting a 'readable' event emission.\n  this.needReadable = false;\n  this.emittedReadable = false;\n  this.readableListening = false;\n  this.resumeScheduled = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // the number of writers that are awaiting a drain event in .pipe()s\n  this.awaitDrain = 0;\n\n  // if true, a maybeReadMore has been scheduled\n  this.readingMore = false;\n\n  this.decoder = null;\n  this.encoding = null;\n  if (options.encoding) {\n    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n    this.decoder = new StringDecoder(options.encoding);\n    this.encoding = options.encoding;\n  }\n}\n\nfunction Readable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  if (!(this instanceof Readable)) return new Readable(options);\n\n  this._readableState = new ReadableState(options, this);\n\n  // legacy\n  this.readable = true;\n\n  if (options) {\n    if (typeof options.read === 'function') this._read = options.read;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n  }\n\n  Stream.call(this);\n}\n\nObject.defineProperty(Readable.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._readableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n  }\n});\n\nReadable.prototype.destroy = destroyImpl.destroy;\nReadable.prototype._undestroy = destroyImpl.undestroy;\nReadable.prototype._destroy = function (err, cb) {\n  this.push(null);\n  cb(err);\n};\n\n// Manually shove something into the read() buffer.\n// This returns true if the highWaterMark has not been hit yet,\n// similar to how Writable.write() returns true if you should\n// write() some more.\nReadable.prototype.push = function (chunk, encoding) {\n  var state = this._readableState;\n  var skipChunkCheck;\n\n  if (!state.objectMode) {\n    if (typeof chunk === 'string') {\n      encoding = encoding || state.defaultEncoding;\n      if (encoding !== state.encoding) {\n        chunk = Buffer.from(chunk, encoding);\n        encoding = '';\n      }\n      skipChunkCheck = true;\n    }\n  } else {\n    skipChunkCheck = true;\n  }\n\n  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);\n};\n\n// Unshift should *always* be something directly out of read()\nReadable.prototype.unshift = function (chunk) {\n  return readableAddChunk(this, chunk, null, true, false);\n};\n\nfunction readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {\n  var state = stream._readableState;\n  if (chunk === null) {\n    state.reading = false;\n    onEofChunk(stream, state);\n  } else {\n    var er;\n    if (!skipChunkCheck) er = chunkInvalid(state, chunk);\n    if (er) {\n      stream.emit('error', er);\n    } else if (state.objectMode || chunk && chunk.length > 0) {\n      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {\n        chunk = _uint8ArrayToBuffer(chunk);\n      }\n\n      if (addToFront) {\n        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);\n      } else if (state.ended) {\n        stream.emit('error', new Error('stream.push() after EOF'));\n      } else {\n        state.reading = false;\n        if (state.decoder && !encoding) {\n          chunk = state.decoder.write(chunk);\n          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);\n        } else {\n          addChunk(stream, state, chunk, false);\n        }\n      }\n    } else if (!addToFront) {\n      state.reading = false;\n    }\n  }\n\n  return needMoreData(state);\n}\n\nfunction addChunk(stream, state, chunk, addToFront) {\n  if (state.flowing && state.length === 0 && !state.sync) {\n    stream.emit('data', chunk);\n    stream.read(0);\n  } else {\n    // update the buffer info.\n    state.length += state.objectMode ? 1 : chunk.length;\n    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);\n\n    if (state.needReadable) emitReadable(stream);\n  }\n  maybeReadMore(stream, state);\n}\n\nfunction chunkInvalid(state, chunk) {\n  var er;\n  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  return er;\n}\n\n// if it's past the high water mark, we can push in some more.\n// Also, if we have no data yet, we can stand some\n// more bytes.  This is to work around cases where hwm=0,\n// such as the repl.  Also, if the push() triggered a\n// readable event, and the user called read(largeNumber) such that\n// needReadable was set, then we ought to push more, so that another\n// 'readable' event will be triggered.\nfunction needMoreData(state) {\n  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);\n}\n\nReadable.prototype.isPaused = function () {\n  return this._readableState.flowing === false;\n};\n\n// backwards compatibility.\nReadable.prototype.setEncoding = function (enc) {\n  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n  this._readableState.decoder = new StringDecoder(enc);\n  this._readableState.encoding = enc;\n  return this;\n};\n\n// Don't raise the hwm > 8MB\nvar MAX_HWM = 0x800000;\nfunction computeNewHighWaterMark(n) {\n  if (n >= MAX_HWM) {\n    n = MAX_HWM;\n  } else {\n    // Get the next highest power of 2 to prevent increasing hwm excessively in\n    // tiny amounts\n    n--;\n    n |= n >>> 1;\n    n |= n >>> 2;\n    n |= n >>> 4;\n    n |= n >>> 8;\n    n |= n >>> 16;\n    n++;\n  }\n  return n;\n}\n\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction howMuchToRead(n, state) {\n  if (n <= 0 || state.length === 0 && state.ended) return 0;\n  if (state.objectMode) return 1;\n  if (n !== n) {\n    // Only flow one buffer at a time\n    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;\n  }\n  // If we're asking for more than the current hwm, then raise the hwm.\n  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);\n  if (n <= state.length) return n;\n  // Don't have enough\n  if (!state.ended) {\n    state.needReadable = true;\n    return 0;\n  }\n  return state.length;\n}\n\n// you can override either this method, or the async _read(n) below.\nReadable.prototype.read = function (n) {\n  debug('read', n);\n  n = parseInt(n, 10);\n  var state = this._readableState;\n  var nOrig = n;\n\n  if (n !== 0) state.emittedReadable = false;\n\n  // if we're doing read(0) to trigger a readable event, but we\n  // already have a bunch of data in the buffer, then just trigger\n  // the 'readable' event and move on.\n  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {\n    debug('read: emitReadable', state.length, state.ended);\n    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);\n    return null;\n  }\n\n  n = howMuchToRead(n, state);\n\n  // if we've ended, and we're now clear, then finish it up.\n  if (n === 0 && state.ended) {\n    if (state.length === 0) endReadable(this);\n    return null;\n  }\n\n  // All the actual chunk generation logic needs to be\n  // *below* the call to _read.  The reason is that in certain\n  // synthetic stream cases, such as passthrough streams, _read\n  // may be a completely synchronous operation which may change\n  // the state of the read buffer, providing enough data when\n  // before there was *not* enough.\n  //\n  // So, the steps are:\n  // 1. Figure out what the state of things will be after we do\n  // a read from the buffer.\n  //\n  // 2. If that resulting state will trigger a _read, then call _read.\n  // Note that this may be asynchronous, or synchronous.  Yes, it is\n  // deeply ugly to write APIs this way, but that still doesn't mean\n  // that the Readable class should behave improperly, as streams are\n  // designed to be sync/async agnostic.\n  // Take note if the _read call is sync or async (ie, if the read call\n  // has returned yet), so that we know whether or not it's safe to emit\n  // 'readable' etc.\n  //\n  // 3. Actually pull the requested chunks out of the buffer and return.\n\n  // if we need a readable event, then we need to do some reading.\n  var doRead = state.needReadable;\n  debug('need readable', doRead);\n\n  // if we currently have less than the highWaterMark, then also read some\n  if (state.length === 0 || state.length - n < state.highWaterMark) {\n    doRead = true;\n    debug('length less than watermark', doRead);\n  }\n\n  // however, if we've ended, then there's no point, and if we're already\n  // reading, then it's unnecessary.\n  if (state.ended || state.reading) {\n    doRead = false;\n    debug('reading or ended', doRead);\n  } else if (doRead) {\n    debug('do read');\n    state.reading = true;\n    state.sync = true;\n    // if the length is currently zero, then we *need* a readable event.\n    if (state.length === 0) state.needReadable = true;\n    // call internal read method\n    this._read(state.highWaterMark);\n    state.sync = false;\n    // If _read pushed data synchronously, then `reading` will be false,\n    // and we need to re-evaluate how much data we can return to the user.\n    if (!state.reading) n = howMuchToRead(nOrig, state);\n  }\n\n  var ret;\n  if (n > 0) ret = fromList(n, state);else ret = null;\n\n  if (ret === null) {\n    state.needReadable = true;\n    n = 0;\n  } else {\n    state.length -= n;\n  }\n\n  if (state.length === 0) {\n    // If we have nothing in the buffer, then we want to know\n    // as soon as we *do* get something into the buffer.\n    if (!state.ended) state.needReadable = true;\n\n    // If we tried to read() past the EOF, then emit end on the next tick.\n    if (nOrig !== n && state.ended) endReadable(this);\n  }\n\n  if (ret !== null) this.emit('data', ret);\n\n  return ret;\n};\n\nfunction onEofChunk(stream, state) {\n  if (state.ended) return;\n  if (state.decoder) {\n    var chunk = state.decoder.end();\n    if (chunk && chunk.length) {\n      state.buffer.push(chunk);\n      state.length += state.objectMode ? 1 : chunk.length;\n    }\n  }\n  state.ended = true;\n\n  // emit 'readable' now to make sure it gets picked up.\n  emitReadable(stream);\n}\n\n// Don't emit readable right away in sync mode, because this can trigger\n// another read() call => stack overflow.  This way, it might trigger\n// a nextTick recursion warning, but that's not so bad.\nfunction emitReadable(stream) {\n  var state = stream._readableState;\n  state.needReadable = false;\n  if (!state.emittedReadable) {\n    debug('emitReadable', state.flowing);\n    state.emittedReadable = true;\n    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);\n  }\n}\n\nfunction emitReadable_(stream) {\n  debug('emit readable');\n  stream.emit('readable');\n  flow(stream);\n}\n\n// at this point, the user has presumably seen the 'readable' event,\n// and called read() to consume some data.  that may have triggered\n// in turn another _read(n) call, in which case reading = true if\n// it's in progress.\n// However, if we're not ended, or reading, and the length < hwm,\n// then go ahead and try to read some more preemptively.\nfunction maybeReadMore(stream, state) {\n  if (!state.readingMore) {\n    state.readingMore = true;\n    pna.nextTick(maybeReadMore_, stream, state);\n  }\n}\n\nfunction maybeReadMore_(stream, state) {\n  var len = state.length;\n  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {\n    debug('maybeReadMore read 0');\n    stream.read(0);\n    if (len === state.length)\n      // didn't get any data, stop spinning.\n      break;else len = state.length;\n  }\n  state.readingMore = false;\n}\n\n// abstract method.  to be overridden in specific implementation classes.\n// call cb(er, data) where data is <= n in length.\n// for virtual (non-string, non-buffer) streams, \"length\" is somewhat\n// arbitrary, and perhaps not very meaningful.\nReadable.prototype._read = function (n) {\n  this.emit('error', new Error('_read() is not implemented'));\n};\n\nReadable.prototype.pipe = function (dest, pipeOpts) {\n  var src = this;\n  var state = this._readableState;\n\n  switch (state.pipesCount) {\n    case 0:\n      state.pipes = dest;\n      break;\n    case 1:\n      state.pipes = [state.pipes, dest];\n      break;\n    default:\n      state.pipes.push(dest);\n      break;\n  }\n  state.pipesCount += 1;\n  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);\n\n  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;\n\n  var endFn = doEnd ? onend : unpipe;\n  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);\n\n  dest.on('unpipe', onunpipe);\n  function onunpipe(readable, unpipeInfo) {\n    debug('onunpipe');\n    if (readable === src) {\n      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {\n        unpipeInfo.hasUnpiped = true;\n        cleanup();\n      }\n    }\n  }\n\n  function onend() {\n    debug('onend');\n    dest.end();\n  }\n\n  // when the dest drains, it reduces the awaitDrain counter\n  // on the source.  This would be more elegant with a .once()\n  // handler in flow(), but adding and removing repeatedly is\n  // too slow.\n  var ondrain = pipeOnDrain(src);\n  dest.on('drain', ondrain);\n\n  var cleanedUp = false;\n  function cleanup() {\n    debug('cleanup');\n    // cleanup event handlers once the pipe is broken\n    dest.removeListener('close', onclose);\n    dest.removeListener('finish', onfinish);\n    dest.removeListener('drain', ondrain);\n    dest.removeListener('error', onerror);\n    dest.removeListener('unpipe', onunpipe);\n    src.removeListener('end', onend);\n    src.removeListener('end', unpipe);\n    src.removeListener('data', ondata);\n\n    cleanedUp = true;\n\n    // if the reader is waiting for a drain event from this\n    // specific writer, then it would cause it to never start\n    // flowing again.\n    // So, if this is awaiting a drain, then we just call it now.\n    // If we don't know, then assume that we are waiting for one.\n    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();\n  }\n\n  // If the user pushes more data while we're writing to dest then we'll end up\n  // in ondata again. However, we only want to increase awaitDrain once because\n  // dest will only emit one 'drain' event for the multiple writes.\n  // => Introduce a guard on increasing awaitDrain.\n  var increasedAwaitDrain = false;\n  src.on('data', ondata);\n  function ondata(chunk) {\n    debug('ondata');\n    increasedAwaitDrain = false;\n    var ret = dest.write(chunk);\n    if (false === ret && !increasedAwaitDrain) {\n      // If the user unpiped during `dest.write()`, it is possible\n      // to get stuck in a permanently paused state if that write\n      // also returned false.\n      // => Check whether `dest` is still a piping destination.\n      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {\n        debug('false write response, pause', src._readableState.awaitDrain);\n        src._readableState.awaitDrain++;\n        increasedAwaitDrain = true;\n      }\n      src.pause();\n    }\n  }\n\n  // if the dest has an error, then stop piping into it.\n  // however, don't suppress the throwing behavior for this.\n  function onerror(er) {\n    debug('onerror', er);\n    unpipe();\n    dest.removeListener('error', onerror);\n    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);\n  }\n\n  // Make sure our error handler is attached before userland ones.\n  prependListener(dest, 'error', onerror);\n\n  // Both close and finish should trigger unpipe, but only once.\n  function onclose() {\n    dest.removeListener('finish', onfinish);\n    unpipe();\n  }\n  dest.once('close', onclose);\n  function onfinish() {\n    debug('onfinish');\n    dest.removeListener('close', onclose);\n    unpipe();\n  }\n  dest.once('finish', onfinish);\n\n  function unpipe() {\n    debug('unpipe');\n    src.unpipe(dest);\n  }\n\n  // tell the dest that it's being piped to\n  dest.emit('pipe', src);\n\n  // start the flow if it hasn't been started already.\n  if (!state.flowing) {\n    debug('pipe resume');\n    src.resume();\n  }\n\n  return dest;\n};\n\nfunction pipeOnDrain(src) {\n  return function () {\n    var state = src._readableState;\n    debug('pipeOnDrain', state.awaitDrain);\n    if (state.awaitDrain) state.awaitDrain--;\n    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {\n      state.flowing = true;\n      flow(src);\n    }\n  };\n}\n\nReadable.prototype.unpipe = function (dest) {\n  var state = this._readableState;\n  var unpipeInfo = { hasUnpiped: false };\n\n  // if we're not piping anywhere, then do nothing.\n  if (state.pipesCount === 0) return this;\n\n  // just one destination.  most common case.\n  if (state.pipesCount === 1) {\n    // passed in one, but it's not the right one.\n    if (dest && dest !== state.pipes) return this;\n\n    if (!dest) dest = state.pipes;\n\n    // got a match.\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n    if (dest) dest.emit('unpipe', this, unpipeInfo);\n    return this;\n  }\n\n  // slow case. multiple pipe destinations.\n\n  if (!dest) {\n    // remove all.\n    var dests = state.pipes;\n    var len = state.pipesCount;\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n\n    for (var i = 0; i < len; i++) {\n      dests[i].emit('unpipe', this, unpipeInfo);\n    }return this;\n  }\n\n  // try to find the right one.\n  var index = indexOf(state.pipes, dest);\n  if (index === -1) return this;\n\n  state.pipes.splice(index, 1);\n  state.pipesCount -= 1;\n  if (state.pipesCount === 1) state.pipes = state.pipes[0];\n\n  dest.emit('unpipe', this, unpipeInfo);\n\n  return this;\n};\n\n// set up data events if they are asked for\n// Ensure readable listeners eventually get something\nReadable.prototype.on = function (ev, fn) {\n  var res = Stream.prototype.on.call(this, ev, fn);\n\n  if (ev === 'data') {\n    // Start flowing on next tick if stream isn't explicitly paused\n    if (this._readableState.flowing !== false) this.resume();\n  } else if (ev === 'readable') {\n    var state = this._readableState;\n    if (!state.endEmitted && !state.readableListening) {\n      state.readableListening = state.needReadable = true;\n      state.emittedReadable = false;\n      if (!state.reading) {\n        pna.nextTick(nReadingNextTick, this);\n      } else if (state.length) {\n        emitReadable(this);\n      }\n    }\n  }\n\n  return res;\n};\nReadable.prototype.addListener = Readable.prototype.on;\n\nfunction nReadingNextTick(self) {\n  debug('readable nexttick read 0');\n  self.read(0);\n}\n\n// pause() and resume() are remnants of the legacy readable stream API\n// If the user uses them, then switch into old mode.\nReadable.prototype.resume = function () {\n  var state = this._readableState;\n  if (!state.flowing) {\n    debug('resume');\n    state.flowing = true;\n    resume(this, state);\n  }\n  return this;\n};\n\nfunction resume(stream, state) {\n  if (!state.resumeScheduled) {\n    state.resumeScheduled = true;\n    pna.nextTick(resume_, stream, state);\n  }\n}\n\nfunction resume_(stream, state) {\n  if (!state.reading) {\n    debug('resume read 0');\n    stream.read(0);\n  }\n\n  state.resumeScheduled = false;\n  state.awaitDrain = 0;\n  stream.emit('resume');\n  flow(stream);\n  if (state.flowing && !state.reading) stream.read(0);\n}\n\nReadable.prototype.pause = function () {\n  debug('call pause flowing=%j', this._readableState.flowing);\n  if (false !== this._readableState.flowing) {\n    debug('pause');\n    this._readableState.flowing = false;\n    this.emit('pause');\n  }\n  return this;\n};\n\nfunction flow(stream) {\n  var state = stream._readableState;\n  debug('flow', state.flowing);\n  while (state.flowing && stream.read() !== null) {}\n}\n\n// wrap an old-style stream as the async data source.\n// This is *not* part of the readable stream interface.\n// It is an ugly unfortunate mess of history.\nReadable.prototype.wrap = function (stream) {\n  var _this = this;\n\n  var state = this._readableState;\n  var paused = false;\n\n  stream.on('end', function () {\n    debug('wrapped end');\n    if (state.decoder && !state.ended) {\n      var chunk = state.decoder.end();\n      if (chunk && chunk.length) _this.push(chunk);\n    }\n\n    _this.push(null);\n  });\n\n  stream.on('data', function (chunk) {\n    debug('wrapped data');\n    if (state.decoder) chunk = state.decoder.write(chunk);\n\n    // don't skip over falsy values in objectMode\n    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;\n\n    var ret = _this.push(chunk);\n    if (!ret) {\n      paused = true;\n      stream.pause();\n    }\n  });\n\n  // proxy all the other methods.\n  // important when wrapping filters and duplexes.\n  for (var i in stream) {\n    if (this[i] === undefined && typeof stream[i] === 'function') {\n      this[i] = function (method) {\n        return function () {\n          return stream[method].apply(stream, arguments);\n        };\n      }(i);\n    }\n  }\n\n  // proxy certain important events.\n  for (var n = 0; n < kProxyEvents.length; n++) {\n    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));\n  }\n\n  // when we try to consume some more bytes, simply unpause the\n  // underlying stream.\n  this._read = function (n) {\n    debug('wrapped _read', n);\n    if (paused) {\n      paused = false;\n      stream.resume();\n    }\n  };\n\n  return this;\n};\n\nObject.defineProperty(Readable.prototype, 'readableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._readableState.highWaterMark;\n  }\n});\n\n// exposed for testing purposes only.\nReadable._fromList = fromList;\n\n// Pluck off n bytes from an array of buffers.\n// Length is the combined lengths of all the buffers in the list.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromList(n, state) {\n  // nothing buffered\n  if (state.length === 0) return null;\n\n  var ret;\n  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {\n    // read it all, truncate the list\n    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);\n    state.buffer.clear();\n  } else {\n    // read part of list\n    ret = fromListPartial(n, state.buffer, state.decoder);\n  }\n\n  return ret;\n}\n\n// Extracts only enough buffered data to satisfy the amount requested.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromListPartial(n, list, hasStrings) {\n  var ret;\n  if (n < list.head.data.length) {\n    // slice is the same for buffers and strings\n    ret = list.head.data.slice(0, n);\n    list.head.data = list.head.data.slice(n);\n  } else if (n === list.head.data.length) {\n    // first chunk is a perfect match\n    ret = list.shift();\n  } else {\n    // result spans more than one buffer\n    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);\n  }\n  return ret;\n}\n\n// Copies a specified amount of characters from the list of buffered data\n// chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBufferString(n, list) {\n  var p = list.head;\n  var c = 1;\n  var ret = p.data;\n  n -= ret.length;\n  while (p = p.next) {\n    var str = p.data;\n    var nb = n > str.length ? str.length : n;\n    if (nb === str.length) ret += str;else ret += str.slice(0, n);\n    n -= nb;\n    if (n === 0) {\n      if (nb === str.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = str.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\n// Copies a specified amount of bytes from the list of buffered data chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBuffer(n, list) {\n  var ret = Buffer.allocUnsafe(n);\n  var p = list.head;\n  var c = 1;\n  p.data.copy(ret);\n  n -= p.data.length;\n  while (p = p.next) {\n    var buf = p.data;\n    var nb = n > buf.length ? buf.length : n;\n    buf.copy(ret, ret.length - n, 0, nb);\n    n -= nb;\n    if (n === 0) {\n      if (nb === buf.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = buf.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\nfunction endReadable(stream) {\n  var state = stream._readableState;\n\n  // If we get here before consuming all the bytes, then that is a\n  // bug in node.  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Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Readable;\n\n/*<replacement>*/\nvar isArray = require('isarray');\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nReadable.ReadableState = ReadableState;\n\n/*<replacement>*/\nvar EE = require('events').EventEmitter;\n\nvar EElistenerCount = function (emitter, type) {\n  return emitter.listeners(type).length;\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar debugUtil = require('util');\nvar debug = void 0;\nif (debugUtil && debugUtil.debuglog) {\n  debug = debugUtil.debuglog('stream');\n} else {\n  debug = function () {};\n}\n/*</replacement>*/\n\nvar BufferList = require('./internal/streams/BufferList');\nvar destroyImpl = require('./internal/streams/destroy');\nvar StringDecoder;\n\nutil.inherits(Readable, Stream);\n\nvar kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];\n\nfunction prependListener(emitter, event, fn) {\n  // Sadly this is not cacheable as some libraries bundle their own\n  // event emitter implementation with them.\n  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);\n\n  // This is a hack to make sure that our error handler is attached before any\n  // userland ones.  NEVER DO THIS. This is here only because this code needs\n  // to continue to work with older versions of Node.js that do not include\n  // the prependListener() method. The goal is to eventually remove this hack.\n  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];\n}\n\nfunction ReadableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag. Used to make read(n) ignore n and to\n  // make all the buffer merging and length checks go away\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;\n\n  // the point at which it stops calling _read() to fill the buffer\n  // Note: 0 is a valid value, means \"don't call _read preemptively ever\"\n  var hwm = options.highWaterMark;\n  var readableHwm = options.readableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // A linked list is used to store data chunks instead of an array because the\n  // linked list can remove elements from the beginning faster than\n  // array.shift()\n  this.buffer = new BufferList();\n  this.length = 0;\n  this.pipes = null;\n  this.pipesCount = 0;\n  this.flowing = null;\n  this.ended = false;\n  this.endEmitted = false;\n  this.reading = false;\n\n  // a flag to be able to tell if the event 'readable'/'data' is emitted\n  // immediately, or on a later tick.  We set this to true at first, because\n  // any actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first read call.\n  this.sync = true;\n\n  // whenever we return null, then we set a flag to say\n  // that we're awaiting a 'readable' event emission.\n  this.needReadable = false;\n  this.emittedReadable = false;\n  this.readableListening = false;\n  this.resumeScheduled = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // the number of writers that are awaiting a drain event in .pipe()s\n  this.awaitDrain = 0;\n\n  // if true, a maybeReadMore has been scheduled\n  this.readingMore = false;\n\n  this.decoder = null;\n  this.encoding = null;\n  if (options.encoding) {\n    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n    this.decoder = new StringDecoder(options.encoding);\n    this.encoding = options.encoding;\n  }\n}\n\nfunction Readable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  if (!(this instanceof Readable)) return new Readable(options);\n\n  this._readableState = new ReadableState(options, this);\n\n  // legacy\n  this.readable = true;\n\n  if (options) {\n    if (typeof options.read === 'function') this._read = options.read;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n  }\n\n  Stream.call(this);\n}\n\nObject.defineProperty(Readable.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._readableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n  }\n});\n\nReadable.prototype.destroy = destroyImpl.destroy;\nReadable.prototype._undestroy = destroyImpl.undestroy;\nReadable.prototype._destroy = function (err, cb) {\n  this.push(null);\n  cb(err);\n};\n\n// Manually shove something into the read() buffer.\n// This returns true if the highWaterMark has not been hit yet,\n// similar to how Writable.write() returns true if you should\n// write() some more.\nReadable.prototype.push = function (chunk, encoding) {\n  var state = this._readableState;\n  var skipChunkCheck;\n\n  if (!state.objectMode) {\n    if (typeof chunk === 'string') {\n      encoding = encoding || state.defaultEncoding;\n      if (encoding !== state.encoding) {\n        chunk = Buffer.from(chunk, encoding);\n        encoding = '';\n      }\n      skipChunkCheck = true;\n    }\n  } else {\n    skipChunkCheck = true;\n  }\n\n  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);\n};\n\n// Unshift should *always* be something directly out of read()\nReadable.prototype.unshift = function (chunk) {\n  return readableAddChunk(this, chunk, null, true, false);\n};\n\nfunction readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {\n  var state = stream._readableState;\n  if (chunk === null) {\n    state.reading = false;\n    onEofChunk(stream, state);\n  } else {\n    var er;\n    if (!skipChunkCheck) er = chunkInvalid(state, chunk);\n    if (er) {\n      stream.emit('error', er);\n    } else if (state.objectMode || chunk && chunk.length > 0) {\n      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {\n        chunk = _uint8ArrayToBuffer(chunk);\n      }\n\n      if (addToFront) {\n        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);\n      } else if (state.ended) {\n        stream.emit('error', new Error('stream.push() after EOF'));\n      } else {\n        state.reading = false;\n        if (state.decoder && !encoding) {\n          chunk = state.decoder.write(chunk);\n          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);\n        } else {\n          addChunk(stream, state, chunk, false);\n        }\n      }\n    } else if (!addToFront) {\n      state.reading = false;\n    }\n  }\n\n  return needMoreData(state);\n}\n\nfunction addChunk(stream, state, chunk, addToFront) {\n  if (state.flowing && state.length === 0 && !state.sync) {\n    stream.emit('data', chunk);\n    stream.read(0);\n  } else {\n    // update the buffer info.\n    state.length += state.objectMode ? 1 : chunk.length;\n    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);\n\n    if (state.needReadable) emitReadable(stream);\n  }\n  maybeReadMore(stream, state);\n}\n\nfunction chunkInvalid(state, chunk) {\n  var er;\n  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  return er;\n}\n\n// if it's past the high water mark, we can push in some more.\n// Also, if we have no data yet, we can stand some\n// more bytes.  This is to work around cases where hwm=0,\n// such as the repl.  Also, if the push() triggered a\n// readable event, and the user called read(largeNumber) such that\n// needReadable was set, then we ought to push more, so that another\n// 'readable' event will be triggered.\nfunction needMoreData(state) {\n  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);\n}\n\nReadable.prototype.isPaused = function () {\n  return this._readableState.flowing === false;\n};\n\n// backwards compatibility.\nReadable.prototype.setEncoding = function (enc) {\n  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n  this._readableState.decoder = new StringDecoder(enc);\n  this._readableState.encoding = enc;\n  return this;\n};\n\n// Don't raise the hwm > 8MB\nvar MAX_HWM = 0x800000;\nfunction computeNewHighWaterMark(n) {\n  if (n >= MAX_HWM) {\n    n = MAX_HWM;\n  } else {\n    // Get the next highest power of 2 to prevent increasing hwm excessively in\n    // tiny amounts\n    n--;\n    n |= n >>> 1;\n    n |= n >>> 2;\n    n |= n >>> 4;\n    n |= n >>> 8;\n    n |= n >>> 16;\n    n++;\n  }\n  return n;\n}\n\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction howMuchToRead(n, state) {\n  if (n <= 0 || state.length === 0 && state.ended) return 0;\n  if (state.objectMode) return 1;\n  if (n !== n) {\n    // Only flow one buffer at a time\n    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;\n  }\n  // If we're asking for more than the current hwm, then raise the hwm.\n  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);\n  if (n <= state.length) return n;\n  // Don't have enough\n  if (!state.ended) {\n    state.needReadable = true;\n    return 0;\n  }\n  return state.length;\n}\n\n// you can override either this method, or the async _read(n) below.\nReadable.prototype.read = function (n) {\n  debug('read', n);\n  n = parseInt(n, 10);\n  var state = this._readableState;\n  var nOrig = n;\n\n  if (n !== 0) state.emittedReadable = false;\n\n  // if we're doing read(0) to trigger a readable event, but we\n  // already have a bunch of data in the buffer, then just trigger\n  // the 'readable' event and move on.\n  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {\n    debug('read: emitReadable', state.length, state.ended);\n    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);\n    return null;\n  }\n\n  n = howMuchToRead(n, state);\n\n  // if we've ended, and we're now clear, then finish it up.\n  if (n === 0 && state.ended) {\n    if (state.length === 0) endReadable(this);\n    return null;\n  }\n\n  // All the actual chunk generation logic needs to be\n  // *below* the call to _read.  The reason is that in certain\n  // synthetic stream cases, such as passthrough streams, _read\n  // may be a completely synchronous operation which may change\n  // the state of the read buffer, providing enough data when\n  // before there was *not* enough.\n  //\n  // So, the steps are:\n  // 1. Figure out what the state of things will be after we do\n  // a read from the buffer.\n  //\n  // 2. If that resulting state will trigger a _read, then call _read.\n  // Note that this may be asynchronous, or synchronous.  Yes, it is\n  // deeply ugly to write APIs this way, but that still doesn't mean\n  // that the Readable class should behave improperly, as streams are\n  // designed to be sync/async agnostic.\n  // Take note if the _read call is sync or async (ie, if the read call\n  // has returned yet), so that we know whether or not it's safe to emit\n  // 'readable' etc.\n  //\n  // 3. Actually pull the requested chunks out of the buffer and return.\n\n  // if we need a readable event, then we need to do some reading.\n  var doRead = state.needReadable;\n  debug('need readable', doRead);\n\n  // if we currently have less than the highWaterMark, then also read some\n  if (state.length === 0 || state.length - n < state.highWaterMark) {\n    doRead = true;\n    debug('length less than watermark', doRead);\n  }\n\n  // however, if we've ended, then there's no point, and if we're already\n  // reading, then it's unnecessary.\n  if (state.ended || state.reading) {\n    doRead = false;\n    debug('reading or ended', doRead);\n  } else if (doRead) {\n    debug('do read');\n    state.reading = true;\n    state.sync = true;\n    // if the length is currently zero, then we *need* a readable event.\n    if (state.length === 0) state.needReadable = true;\n    // call internal read method\n    this._read(state.highWaterMark);\n    state.sync = false;\n    // If _read pushed data synchronously, then `reading` will be false,\n    // and we need to re-evaluate how much data we can return to the user.\n    if (!state.reading) n = howMuchToRead(nOrig, state);\n  }\n\n  var ret;\n  if (n > 0) ret = fromList(n, state);else ret = null;\n\n  if (ret === null) {\n    state.needReadable = true;\n    n = 0;\n  } else {\n    state.length -= n;\n  }\n\n  if (state.length === 0) {\n    // If we have nothing in the buffer, then we want to know\n    // as soon as we *do* get something into the buffer.\n    if (!state.ended) state.needReadable = true;\n\n    // If we tried to read() past the EOF, then emit end on the next tick.\n    if (nOrig !== n && state.ended) endReadable(this);\n  }\n\n  if (ret !== null) this.emit('data', ret);\n\n  return ret;\n};\n\nfunction onEofChunk(stream, state) {\n  if (state.ended) return;\n  if (state.decoder) {\n    var chunk = state.decoder.end();\n    if (chunk && chunk.length) {\n      state.buffer.push(chunk);\n      state.length += state.objectMode ? 1 : chunk.length;\n    }\n  }\n  state.ended = true;\n\n  // emit 'readable' now to make sure it gets picked up.\n  emitReadable(stream);\n}\n\n// Don't emit readable right away in sync mode, because this can trigger\n// another read() call => stack overflow.  This way, it might trigger\n// a nextTick recursion warning, but that's not so bad.\nfunction emitReadable(stream) {\n  var state = stream._readableState;\n  state.needReadable = false;\n  if (!state.emittedReadable) {\n    debug('emitReadable', state.flowing);\n    state.emittedReadable = true;\n    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);\n  }\n}\n\nfunction emitReadable_(stream) {\n  debug('emit readable');\n  stream.emit('readable');\n  flow(stream);\n}\n\n// at this point, the user has presumably seen the 'readable' event,\n// and called read() to consume some data.  that may have triggered\n// in turn another _read(n) call, in which case reading = true if\n// it's in progress.\n// However, if we're not ended, or reading, and the length < hwm,\n// then go ahead and try to read some more preemptively.\nfunction maybeReadMore(stream, state) {\n  if (!state.readingMore) {\n    state.readingMore = true;\n    pna.nextTick(maybeReadMore_, stream, state);\n  }\n}\n\nfunction maybeReadMore_(stream, state) {\n  var len = state.length;\n  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {\n    debug('maybeReadMore read 0');\n    stream.read(0);\n    if (len === state.length)\n      // didn't get any data, stop spinning.\n      break;else len = state.length;\n  }\n  state.readingMore = false;\n}\n\n// abstract method.  to be overridden in specific implementation classes.\n// call cb(er, data) where data is <= n in length.\n// for virtual (non-string, non-buffer) streams, \"length\" is somewhat\n// arbitrary, and perhaps not very meaningful.\nReadable.prototype._read = function (n) {\n  this.emit('error', new Error('_read() is not implemented'));\n};\n\nReadable.prototype.pipe = function (dest, pipeOpts) {\n  var src = this;\n  var state = this._readableState;\n\n  switch (state.pipesCount) {\n    case 0:\n      state.pipes = dest;\n      break;\n    case 1:\n      state.pipes = [state.pipes, dest];\n      break;\n    default:\n      state.pipes.push(dest);\n      break;\n  }\n  state.pipesCount += 1;\n  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);\n\n  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;\n\n  var endFn = doEnd ? onend : unpipe;\n  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);\n\n  dest.on('unpipe', onunpipe);\n  function onunpipe(readable, unpipeInfo) {\n    debug('onunpipe');\n    if (readable === src) {\n      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {\n        unpipeInfo.hasUnpiped = true;\n        cleanup();\n      }\n    }\n  }\n\n  function onend() {\n    debug('onend');\n    dest.end();\n  }\n\n  // when the dest drains, it reduces the awaitDrain counter\n  // on the source.  This would be more elegant with a .once()\n  // handler in flow(), but adding and removing repeatedly is\n  // too slow.\n  var ondrain = pipeOnDrain(src);\n  dest.on('drain', ondrain);\n\n  var cleanedUp = false;\n  function cleanup() {\n    debug('cleanup');\n    // cleanup event handlers once the pipe is broken\n    dest.removeListener('close', onclose);\n    dest.removeListener('finish', onfinish);\n    dest.removeListener('drain', ondrain);\n    dest.removeListener('error', onerror);\n    dest.removeListener('unpipe', onunpipe);\n    src.removeListener('end', onend);\n    src.removeListener('end', unpipe);\n    src.removeListener('data', ondata);\n\n    cleanedUp = true;\n\n    // if the reader is waiting for a drain event from this\n    // specific writer, then it would cause it to never start\n    // flowing again.\n    // So, if this is awaiting a drain, then we just call it now.\n    // If we don't know, then assume that we are waiting for one.\n    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();\n  }\n\n  // If the user pushes more data while we're writing to dest then we'll end up\n  // in ondata again. However, we only want to increase awaitDrain once because\n  // dest will only emit one 'drain' event for the multiple writes.\n  // => Introduce a guard on increasing awaitDrain.\n  var increasedAwaitDrain = false;\n  src.on('data', ondata);\n  function ondata(chunk) {\n    debug('ondata');\n    increasedAwaitDrain = false;\n    var ret = dest.write(chunk);\n    if (false === ret && !increasedAwaitDrain) {\n      // If the user unpiped during `dest.write()`, it is possible\n      // to get stuck in a permanently paused state if that write\n      // also returned false.\n      // => Check whether `dest` is still a piping destination.\n      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {\n        debug('false write response, pause', src._readableState.awaitDrain);\n        src._readableState.awaitDrain++;\n        increasedAwaitDrain = true;\n      }\n      src.pause();\n    }\n  }\n\n  // if the dest has an error, then stop piping into it.\n  // however, don't suppress the throwing behavior for this.\n  function onerror(er) {\n    debug('onerror', er);\n    unpipe();\n    dest.removeListener('error', onerror);\n    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);\n  }\n\n  // Make sure our error handler is attached before userland ones.\n  prependListener(dest, 'error', onerror);\n\n  // Both close and finish should trigger unpipe, but only once.\n  function onclose() {\n    dest.removeListener('finish', onfinish);\n    unpipe();\n  }\n  dest.once('close', onclose);\n  function onfinish() {\n    debug('onfinish');\n    dest.removeListener('close', onclose);\n    unpipe();\n  }\n  dest.once('finish', onfinish);\n\n  function unpipe() {\n    debug('unpipe');\n    src.unpipe(dest);\n  }\n\n  // tell the dest that it's being piped to\n  dest.emit('pipe', src);\n\n  // start the flow if it hasn't been started already.\n  if (!state.flowing) {\n    debug('pipe resume');\n    src.resume();\n  }\n\n  return dest;\n};\n\nfunction pipeOnDrain(src) {\n  return function () {\n    var state = src._readableState;\n    debug('pipeOnDrain', state.awaitDrain);\n    if (state.awaitDrain) state.awaitDrain--;\n    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {\n      state.flowing = true;\n      flow(src);\n    }\n  };\n}\n\nReadable.prototype.unpipe = function (dest) {\n  var state = this._readableState;\n  var unpipeInfo = { hasUnpiped: false };\n\n  // if we're not piping anywhere, then do nothing.\n  if (state.pipesCount === 0) return this;\n\n  // just one destination.  most common case.\n  if (state.pipesCount === 1) {\n    // passed in one, but it's not the right one.\n    if (dest && dest !== state.pipes) return this;\n\n    if (!dest) dest = state.pipes;\n\n    // got a match.\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n    if (dest) dest.emit('unpipe', this, unpipeInfo);\n    return this;\n  }\n\n  // slow case. multiple pipe destinations.\n\n  if (!dest) {\n    // remove all.\n    var dests = state.pipes;\n    var len = state.pipesCount;\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n\n    for (var i = 0; i < len; i++) {\n      dests[i].emit('unpipe', this, unpipeInfo);\n    }return this;\n  }\n\n  // try to find the right one.\n  var index = indexOf(state.pipes, dest);\n  if (index === -1) return this;\n\n  state.pipes.splice(index, 1);\n  state.pipesCount -= 1;\n  if (state.pipesCount === 1) state.pipes = state.pipes[0];\n\n  dest.emit('unpipe', this, unpipeInfo);\n\n  return this;\n};\n\n// set up data events if they are asked for\n// Ensure readable listeners eventually get something\nReadable.prototype.on = function (ev, fn) {\n  var res = Stream.prototype.on.call(this, ev, fn);\n\n  if (ev === 'data') {\n    // Start flowing on next tick if stream isn't explicitly paused\n    if (this._readableState.flowing !== false) this.resume();\n  } else if (ev === 'readable') {\n    var state = this._readableState;\n    if (!state.endEmitted && !state.readableListening) {\n      state.readableListening = state.needReadable = true;\n      state.emittedReadable = false;\n      if (!state.reading) {\n        pna.nextTick(nReadingNextTick, this);\n      } else if (state.length) {\n        emitReadable(this);\n      }\n    }\n  }\n\n  return res;\n};\nReadable.prototype.addListener = Readable.prototype.on;\n\nfunction nReadingNextTick(self) {\n  debug('readable nexttick read 0');\n  self.read(0);\n}\n\n// pause() and resume() are remnants of the legacy readable stream API\n// If the user uses them, then switch into old mode.\nReadable.prototype.resume = function () {\n  var state = this._readableState;\n  if (!state.flowing) {\n    debug('resume');\n    state.flowing = true;\n    resume(this, state);\n  }\n  return this;\n};\n\nfunction resume(stream, state) {\n  if (!state.resumeScheduled) {\n    state.resumeScheduled = true;\n    pna.nextTick(resume_, stream, state);\n  }\n}\n\nfunction resume_(stream, state) {\n  if (!state.reading) {\n    debug('resume read 0');\n    stream.read(0);\n  }\n\n  state.resumeScheduled = false;\n  state.awaitDrain = 0;\n  stream.emit('resume');\n  flow(stream);\n  if (state.flowing && !state.reading) stream.read(0);\n}\n\nReadable.prototype.pause = function () {\n  debug('call pause flowing=%j', this._readableState.flowing);\n  if (false !== this._readableState.flowing) {\n    debug('pause');\n    this._readableState.flowing = false;\n    this.emit('pause');\n  }\n  return this;\n};\n\nfunction flow(stream) {\n  var state = stream._readableState;\n  debug('flow', state.flowing);\n  while (state.flowing && stream.read() !== null) {}\n}\n\n// wrap an old-style stream as the async data source.\n// This is *not* part of the readable stream interface.\n// It is an ugly unfortunate mess of history.\nReadable.prototype.wrap = function (stream) {\n  var _this = this;\n\n  var state = this._readableState;\n  var paused = false;\n\n  stream.on('end', function () {\n    debug('wrapped end');\n    if (state.decoder && !state.ended) {\n      var chunk = state.decoder.end();\n      if (chunk && chunk.length) _this.push(chunk);\n    }\n\n    _this.push(null);\n  });\n\n  stream.on('data', function (chunk) {\n    debug('wrapped data');\n    if (state.decoder) chunk = state.decoder.write(chunk);\n\n    // don't skip over falsy values in objectMode\n    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;\n\n    var ret = _this.push(chunk);\n    if (!ret) {\n      paused = true;\n      stream.pause();\n    }\n  });\n\n  // proxy all the other methods.\n  // important when wrapping filters and duplexes.\n  for (var i in stream) {\n    if (this[i] === undefined && typeof stream[i] === 'function') {\n      this[i] = function (method) {\n        return function () {\n          return stream[method].apply(stream, arguments);\n        };\n      }(i);\n    }\n  }\n\n  // proxy certain important events.\n  for (var n = 0; n < kProxyEvents.length; n++) {\n    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));\n  }\n\n  // when we try to consume some more bytes, simply unpause the\n  // underlying stream.\n  this._read = function (n) {\n    debug('wrapped _read', n);\n    if (paused) {\n      paused = false;\n      stream.resume();\n    }\n  };\n\n  return this;\n};\n\nObject.defineProperty(Readable.prototype, 'readableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._readableState.highWaterMark;\n  }\n});\n\n// exposed for testing purposes only.\nReadable._fromList = fromList;\n\n// Pluck off n bytes from an array of buffers.\n// Length is the combined lengths of all the buffers in the list.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromList(n, state) {\n  // nothing buffered\n  if (state.length === 0) return null;\n\n  var ret;\n  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {\n    // read it all, truncate the list\n    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);\n    state.buffer.clear();\n  } else {\n    // read part of list\n    ret = fromListPartial(n, state.buffer, state.decoder);\n  }\n\n  return ret;\n}\n\n// Extracts only enough buffered data to satisfy the amount requested.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromListPartial(n, list, hasStrings) {\n  var ret;\n  if (n < list.head.data.length) {\n    // slice is the same for buffers and strings\n    ret = list.head.data.slice(0, n);\n    list.head.data = list.head.data.slice(n);\n  } else if (n === list.head.data.length) {\n    // first chunk is a perfect match\n    ret = list.shift();\n  } else {\n    // result spans more than one buffer\n    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);\n  }\n  return ret;\n}\n\n// Copies a specified amount of characters from the list of buffered data\n// chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBufferString(n, list) {\n  var p = list.head;\n  var c = 1;\n  var ret = p.data;\n  n -= ret.length;\n  while (p = p.next) {\n    var str = p.data;\n    var nb = n > str.length ? str.length : n;\n    if (nb === str.length) ret += str;else ret += str.slice(0, n);\n    n -= nb;\n    if (n === 0) {\n      if (nb === str.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = str.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\n// Copies a specified amount of bytes from the list of buffered data chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBuffer(n, list) {\n  var ret = Buffer.allocUnsafe(n);\n  var p = list.head;\n  var c = 1;\n  p.data.copy(ret);\n  n -= p.data.length;\n  while (p = p.next) {\n    var buf = p.data;\n    var nb = n > buf.length ? buf.length : n;\n    buf.copy(ret, ret.length - n, 0, nb);\n    n -= nb;\n    if (n === 0) {\n      if (nb === buf.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = buf.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\nfunction endReadable(stream) {\n  var state = stream._readableState;\n\n  // If we get here before consuming all the bytes, then that is a\n  // bug in node.  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+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/punycode/package.json","includedInParent":true,"mtime":1458437195000}],"generated":{"js":"var global = arguments[3];\nvar define;\n/*! https://mths.be/punycode v1.4.1 by @mathias */\n;(function(root) {\n\n\t/** Detect free variables */\n\tvar freeExports = typeof exports == 'object' && exports &&\n\t\t!exports.nodeType && exports;\n\tvar freeModule = typeof module == 'object' && module &&\n\t\t!module.nodeType && module;\n\tvar freeGlobal = typeof global == 'object' && global;\n\tif (\n\t\tfreeGlobal.global === freeGlobal ||\n\t\tfreeGlobal.window === freeGlobal ||\n\t\tfreeGlobal.self === freeGlobal\n\t) {\n\t\troot = freeGlobal;\n\t}\n\n\t/**\n\t * The `punycode` object.\n\t * @name punycode\n\t * @type Object\n\t */\n\tvar punycode,\n\n\t/** Highest positive signed 32-bit float value */\n\tmaxInt = 2147483647, // aka. 0x7FFFFFFF or 2^31-1\n\n\t/** Bootstring parameters */\n\tbase = 36,\n\ttMin = 1,\n\ttMax = 26,\n\tskew = 38,\n\tdamp = 700,\n\tinitialBias = 72,\n\tinitialN = 128, // 0x80\n\tdelimiter = '-', // '\\x2D'\n\n\t/** Regular expressions */\n\tregexPunycode = /^xn--/,\n\tregexNonASCII = /[^\\x20-\\x7E]/, // unprintable ASCII chars + non-ASCII chars\n\tregexSeparators = /[\\x2E\\u3002\\uFF0E\\uFF61]/g, // RFC 3490 separators\n\n\t/** Error messages */\n\terrors = {\n\t\t'overflow': 'Overflow: input needs wider integers to process',\n\t\t'not-basic': 'Illegal input >= 0x80 (not a basic code point)',\n\t\t'invalid-input': 'Invalid input'\n\t},\n\n\t/** Convenience shortcuts */\n\tbaseMinusTMin = base - tMin,\n\tfloor = Math.floor,\n\tstringFromCharCode = String.fromCharCode,\n\n\t/** Temporary variable */\n\tkey;\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/**\n\t * A generic error utility function.\n\t * @private\n\t * @param {String} type The error type.\n\t * @returns {Error} Throws a `RangeError` with the applicable error message.\n\t */\n\tfunction error(type) {\n\t\tthrow new RangeError(errors[type]);\n\t}\n\n\t/**\n\t * A generic `Array#map` utility function.\n\t * @private\n\t * @param {Array} array The array to iterate over.\n\t * @param {Function} callback The function that gets called for every array\n\t * item.\n\t * @returns {Array} A new array of values returned by the callback function.\n\t */\n\tfunction map(array, fn) {\n\t\tvar length = array.length;\n\t\tvar result = [];\n\t\twhile (length--) {\n\t\t\tresult[length] = fn(array[length]);\n\t\t}\n\t\treturn result;\n\t}\n\n\t/**\n\t * A simple `Array#map`-like wrapper to work with domain name strings or email\n\t * addresses.\n\t * @private\n\t * @param {String} domain The domain name or email address.\n\t * @param {Function} callback The function that gets called for every\n\t * character.\n\t * @returns {Array} A new string of characters returned by the callback\n\t * function.\n\t */\n\tfunction mapDomain(string, fn) {\n\t\tvar parts = string.split('@');\n\t\tvar result = '';\n\t\tif (parts.length > 1) {\n\t\t\t// In email addresses, only the domain name should be punycoded. Leave\n\t\t\t// the local part (i.e. everything up to `@`) intact.\n\t\t\tresult = parts[0] + '@';\n\t\t\tstring = parts[1];\n\t\t}\n\t\t// Avoid `split(regex)` for IE8 compatibility. See #17.\n\t\tstring = string.replace(regexSeparators, '\\x2E');\n\t\tvar labels = string.split('.');\n\t\tvar encoded = map(labels, fn).join('.');\n\t\treturn result + encoded;\n\t}\n\n\t/**\n\t * Creates an array containing the numeric code points of each Unicode\n\t * character in the string. While JavaScript uses UCS-2 internally,\n\t * this function will convert a pair of surrogate halves (each of which\n\t * UCS-2 exposes as separate characters) into a single code point,\n\t * matching UTF-16.\n\t * @see `punycode.ucs2.encode`\n\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t * @memberOf punycode.ucs2\n\t * @name decode\n\t * @param {String} string The Unicode input string (UCS-2).\n\t * @returns {Array} The new array of code points.\n\t */\n\tfunction ucs2decode(string) {\n\t\tvar output = [],\n\t\t    counter = 0,\n\t\t    length = string.length,\n\t\t    value,\n\t\t    extra;\n\t\twhile (counter < length) {\n\t\t\tvalue = string.charCodeAt(counter++);\n\t\t\tif (value >= 0xD800 && value <= 0xDBFF && counter < length) {\n\t\t\t\t// high surrogate, and there is a next character\n\t\t\t\textra = string.charCodeAt(counter++);\n\t\t\t\tif ((extra & 0xFC00) == 0xDC00) { // low surrogate\n\t\t\t\t\toutput.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000);\n\t\t\t\t} else {\n\t\t\t\t\t// unmatched surrogate; only append this code unit, in case the next\n\t\t\t\t\t// code unit is the high surrogate of a surrogate pair\n\t\t\t\t\toutput.push(value);\n\t\t\t\t\tcounter--;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\toutput.push(value);\n\t\t\t}\n\t\t}\n\t\treturn output;\n\t}\n\n\t/**\n\t * Creates a string based on an array of numeric code points.\n\t * @see `punycode.ucs2.decode`\n\t * @memberOf punycode.ucs2\n\t * @name encode\n\t * @param {Array} codePoints The array of numeric code points.\n\t * @returns {String} The new Unicode string (UCS-2).\n\t */\n\tfunction ucs2encode(array) {\n\t\treturn map(array, function(value) {\n\t\t\tvar output = '';\n\t\t\tif (value > 0xFFFF) {\n\t\t\t\tvalue -= 0x10000;\n\t\t\t\toutput += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800);\n\t\t\t\tvalue = 0xDC00 | value & 0x3FF;\n\t\t\t}\n\t\t\toutput += stringFromCharCode(value);\n\t\t\treturn output;\n\t\t}).join('');\n\t}\n\n\t/**\n\t * Converts a basic code point into a digit/integer.\n\t * @see `digitToBasic()`\n\t * @private\n\t * @param {Number} codePoint The basic numeric code point value.\n\t * @returns {Number} The numeric value of a basic code point (for use in\n\t * representing integers) in the range `0` to `base - 1`, or `base` if\n\t * the code point does not represent a value.\n\t */\n\tfunction basicToDigit(codePoint) {\n\t\tif (codePoint - 48 < 10) {\n\t\t\treturn codePoint - 22;\n\t\t}\n\t\tif (codePoint - 65 < 26) {\n\t\t\treturn codePoint - 65;\n\t\t}\n\t\tif (codePoint - 97 < 26) {\n\t\t\treturn codePoint - 97;\n\t\t}\n\t\treturn base;\n\t}\n\n\t/**\n\t * Converts a digit/integer into a basic code point.\n\t * @see `basicToDigit()`\n\t * @private\n\t * @param {Number} digit The numeric value of a basic code point.\n\t * @returns {Number} The basic code point whose value (when used for\n\t * representing integers) is `digit`, which needs to be in the range\n\t * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is\n\t * used; else, the lowercase form is used. The behavior is undefined\n\t * if `flag` is non-zero and `digit` has no uppercase form.\n\t */\n\tfunction digitToBasic(digit, flag) {\n\t\t//  0..25 map to ASCII a..z or A..Z\n\t\t// 26..35 map to ASCII 0..9\n\t\treturn digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5);\n\t}\n\n\t/**\n\t * Bias adaptation function as per section 3.4 of RFC 3492.\n\t * https://tools.ietf.org/html/rfc3492#section-3.4\n\t * @private\n\t */\n\tfunction adapt(delta, numPoints, firstTime) {\n\t\tvar k = 0;\n\t\tdelta = firstTime ? floor(delta / damp) : delta >> 1;\n\t\tdelta += floor(delta / numPoints);\n\t\tfor (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) {\n\t\t\tdelta = floor(delta / baseMinusTMin);\n\t\t}\n\t\treturn floor(k + (baseMinusTMin + 1) * delta / (delta + skew));\n\t}\n\n\t/**\n\t * Converts a Punycode string of ASCII-only symbols to a string of Unicode\n\t * symbols.\n\t * @memberOf punycode\n\t * @param {String} input The Punycode string of ASCII-only symbols.\n\t * @returns {String} The resulting string of Unicode symbols.\n\t */\n\tfunction decode(input) {\n\t\t// Don't use UCS-2\n\t\tvar output = [],\n\t\t    inputLength = input.length,\n\t\t    out,\n\t\t    i = 0,\n\t\t    n = initialN,\n\t\t    bias = initialBias,\n\t\t    basic,\n\t\t    j,\n\t\t    index,\n\t\t    oldi,\n\t\t    w,\n\t\t    k,\n\t\t    digit,\n\t\t    t,\n\t\t    /** Cached calculation results */\n\t\t    baseMinusT;\n\n\t\t// Handle the basic code points: let `basic` be the number of input code\n\t\t// points before the last delimiter, or `0` if there is none, then copy\n\t\t// the first basic code points to the output.\n\n\t\tbasic = input.lastIndexOf(delimiter);\n\t\tif (basic < 0) {\n\t\t\tbasic = 0;\n\t\t}\n\n\t\tfor (j = 0; j < basic; ++j) {\n\t\t\t// if it's not a basic code point\n\t\t\tif (input.charCodeAt(j) >= 0x80) {\n\t\t\t\terror('not-basic');\n\t\t\t}\n\t\t\toutput.push(input.charCodeAt(j));\n\t\t}\n\n\t\t// Main decoding loop: start just after the last delimiter if any basic code\n\t\t// points were copied; start at the beginning otherwise.\n\n\t\tfor (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) {\n\n\t\t\t// `index` is the index of the next character to be consumed.\n\t\t\t// Decode a generalized variable-length integer into `delta`,\n\t\t\t// which gets added to `i`. The overflow checking is easier\n\t\t\t// if we increase `i` as we go, then subtract off its starting\n\t\t\t// value at the end to obtain `delta`.\n\t\t\tfor (oldi = i, w = 1, k = base; /* no condition */; k += base) {\n\n\t\t\t\tif (index >= inputLength) {\n\t\t\t\t\terror('invalid-input');\n\t\t\t\t}\n\n\t\t\t\tdigit = basicToDigit(input.charCodeAt(index++));\n\n\t\t\t\tif (digit >= base || digit > floor((maxInt - i) / w)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\ti += digit * w;\n\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\n\t\t\t\tif (digit < t) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\tbaseMinusT = base - t;\n\t\t\t\tif (w > floor(maxInt / baseMinusT)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tw *= baseMinusT;\n\n\t\t\t}\n\n\t\t\tout = output.length + 1;\n\t\t\tbias = adapt(i - oldi, out, oldi == 0);\n\n\t\t\t// `i` was supposed to wrap around from `out` to `0`,\n\t\t\t// incrementing `n` each time, so we'll fix that now:\n\t\t\tif (floor(i / out) > maxInt - n) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tn += floor(i / out);\n\t\t\ti %= out;\n\n\t\t\t// Insert `n` at position `i` of the output\n\t\t\toutput.splice(i++, 0, n);\n\n\t\t}\n\n\t\treturn ucs2encode(output);\n\t}\n\n\t/**\n\t * Converts a string of Unicode symbols (e.g. a domain name label) to a\n\t * Punycode string of ASCII-only symbols.\n\t * @memberOf punycode\n\t * @param {String} input The string of Unicode symbols.\n\t * @returns {String} The resulting Punycode string of ASCII-only symbols.\n\t */\n\tfunction encode(input) {\n\t\tvar n,\n\t\t    delta,\n\t\t    handledCPCount,\n\t\t    basicLength,\n\t\t    bias,\n\t\t    j,\n\t\t    m,\n\t\t    q,\n\t\t    k,\n\t\t    t,\n\t\t    currentValue,\n\t\t    output = [],\n\t\t    /** `inputLength` will hold the number of code points in `input`. */\n\t\t    inputLength,\n\t\t    /** Cached calculation results */\n\t\t    handledCPCountPlusOne,\n\t\t    baseMinusT,\n\t\t    qMinusT;\n\n\t\t// Convert the input in UCS-2 to Unicode\n\t\tinput = ucs2decode(input);\n\n\t\t// Cache the length\n\t\tinputLength = input.length;\n\n\t\t// Initialize the state\n\t\tn = initialN;\n\t\tdelta = 0;\n\t\tbias = initialBias;\n\n\t\t// Handle the basic code points\n\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\tcurrentValue = input[j];\n\t\t\tif (currentValue < 0x80) {\n\t\t\t\toutput.push(stringFromCharCode(currentValue));\n\t\t\t}\n\t\t}\n\n\t\thandledCPCount = basicLength = output.length;\n\n\t\t// `handledCPCount` is the number of code points that have been handled;\n\t\t// `basicLength` is the number of basic code points.\n\n\t\t// Finish the basic string - if it is not empty - with a delimiter\n\t\tif (basicLength) {\n\t\t\toutput.push(delimiter);\n\t\t}\n\n\t\t// Main encoding loop:\n\t\twhile (handledCPCount < inputLength) {\n\n\t\t\t// All non-basic code points < n have been handled already. Find the next\n\t\t\t// larger one:\n\t\t\tfor (m = maxInt, j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\t\t\t\tif (currentValue >= n && currentValue < m) {\n\t\t\t\t\tm = currentValue;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Increase `delta` enough to advance the decoder's <n,i> state to <m,0>,\n\t\t\t// but guard against overflow\n\t\t\thandledCPCountPlusOne = handledCPCount + 1;\n\t\t\tif (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tdelta += (m - n) * handledCPCountPlusOne;\n\t\t\tn = m;\n\n\t\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\n\t\t\t\tif (currentValue < n && ++delta > maxInt) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tif (currentValue == n) {\n\t\t\t\t\t// Represent delta as a generalized variable-length integer\n\t\t\t\t\tfor (q = delta, k = base; /* no condition */; k += base) {\n\t\t\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\t\t\t\t\t\tif (q < t) {\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tqMinusT = q - t;\n\t\t\t\t\t\tbaseMinusT = base - t;\n\t\t\t\t\t\toutput.push(\n\t\t\t\t\t\t\tstringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0))\n\t\t\t\t\t\t);\n\t\t\t\t\t\tq = floor(qMinusT / baseMinusT);\n\t\t\t\t\t}\n\n\t\t\t\t\toutput.push(stringFromCharCode(digitToBasic(q, 0)));\n\t\t\t\t\tbias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength);\n\t\t\t\t\tdelta = 0;\n\t\t\t\t\t++handledCPCount;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t++delta;\n\t\t\t++n;\n\n\t\t}\n\t\treturn output.join('');\n\t}\n\n\t/**\n\t * Converts a Punycode string representing a domain name or an email address\n\t * to Unicode. Only the Punycoded parts of the input will be converted, i.e.\n\t * it doesn't matter if you call it on a string that has already been\n\t * converted to Unicode.\n\t * @memberOf punycode\n\t * @param {String} input The Punycoded domain name or email address to\n\t * convert to Unicode.\n\t * @returns {String} The Unicode representation of the given Punycode\n\t * string.\n\t */\n\tfunction toUnicode(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexPunycode.test(string)\n\t\t\t\t? decode(string.slice(4).toLowerCase())\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/**\n\t * Converts a Unicode string representing a domain name or an email address to\n\t * Punycode. Only the non-ASCII parts of the domain name will be converted,\n\t * i.e. it doesn't matter if you call it with a domain that's already in\n\t * ASCII.\n\t * @memberOf punycode\n\t * @param {String} input The domain name or email address to convert, as a\n\t * Unicode string.\n\t * @returns {String} The Punycode representation of the given domain name or\n\t * email address.\n\t */\n\tfunction toASCII(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexNonASCII.test(string)\n\t\t\t\t? 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@param {Function} callback The function that gets called for every array\n\t * item.\n\t * @returns {Array} A new array of values returned by the callback function.\n\t */\n\tfunction map(array, fn) {\n\t\tvar length = array.length;\n\t\tvar result = [];\n\t\twhile (length--) {\n\t\t\tresult[length] = fn(array[length]);\n\t\t}\n\t\treturn result;\n\t}\n\n\t/**\n\t * A simple `Array#map`-like wrapper to work with domain name strings or email\n\t * addresses.\n\t * @private\n\t * @param {String} domain The domain name or email address.\n\t * @param {Function} callback The function that gets called for every\n\t * character.\n\t * @returns {Array} A new string of characters returned by the callback\n\t * function.\n\t */\n\tfunction mapDomain(string, fn) {\n\t\tvar parts = string.split('@');\n\t\tvar result = '';\n\t\tif (parts.length > 1) {\n\t\t\t// In email addresses, only the domain name should be punycoded. Leave\n\t\t\t// the local part (i.e. everything up to `@`) intact.\n\t\t\tresult = parts[0] + '@';\n\t\t\tstring = parts[1];\n\t\t}\n\t\t// Avoid `split(regex)` for IE8 compatibility. See #17.\n\t\tstring = string.replace(regexSeparators, '\\x2E');\n\t\tvar labels = string.split('.');\n\t\tvar encoded = map(labels, fn).join('.');\n\t\treturn result + encoded;\n\t}\n\n\t/**\n\t * Creates an array containing the numeric code points of each Unicode\n\t * character in the string. While JavaScript uses UCS-2 internally,\n\t * this function will convert a pair of surrogate halves (each of which\n\t * UCS-2 exposes as separate characters) into a single code point,\n\t * matching UTF-16.\n\t * @see `punycode.ucs2.encode`\n\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t * @memberOf punycode.ucs2\n\t * @name decode\n\t * @param {String} string The Unicode input string (UCS-2).\n\t * @returns {Array} The new array of code points.\n\t */\n\tfunction ucs2decode(string) {\n\t\tvar output = [],\n\t\t    counter = 0,\n\t\t    length = string.length,\n\t\t    value,\n\t\t    extra;\n\t\twhile (counter < length) {\n\t\t\tvalue = string.charCodeAt(counter++);\n\t\t\tif (value >= 0xD800 && value <= 0xDBFF && counter < length) {\n\t\t\t\t// high surrogate, and there is a next character\n\t\t\t\textra = string.charCodeAt(counter++);\n\t\t\t\tif ((extra & 0xFC00) == 0xDC00) { // low surrogate\n\t\t\t\t\toutput.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000);\n\t\t\t\t} else {\n\t\t\t\t\t// unmatched surrogate; only append this code unit, in case the next\n\t\t\t\t\t// code unit is the high surrogate of a surrogate pair\n\t\t\t\t\toutput.push(value);\n\t\t\t\t\tcounter--;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\toutput.push(value);\n\t\t\t}\n\t\t}\n\t\treturn output;\n\t}\n\n\t/**\n\t * Creates a string based on an array of numeric code points.\n\t * @see `punycode.ucs2.decode`\n\t * @memberOf punycode.ucs2\n\t * @name encode\n\t * @param {Array} codePoints The array of numeric code points.\n\t * @returns {String} The new Unicode string (UCS-2).\n\t */\n\tfunction ucs2encode(array) {\n\t\treturn map(array, function(value) {\n\t\t\tvar output = '';\n\t\t\tif (value > 0xFFFF) {\n\t\t\t\tvalue -= 0x10000;\n\t\t\t\toutput += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800);\n\t\t\t\tvalue = 0xDC00 | value & 0x3FF;\n\t\t\t}\n\t\t\toutput += stringFromCharCode(value);\n\t\t\treturn output;\n\t\t}).join('');\n\t}\n\n\t/**\n\t * Converts a basic code point into a digit/integer.\n\t * @see `digitToBasic()`\n\t * @private\n\t * @param {Number} codePoint The basic numeric code point value.\n\t * @returns {Number} The numeric value of a basic code point (for use in\n\t * representing integers) in the range `0` to `base - 1`, or `base` if\n\t * the code point does not represent a value.\n\t */\n\tfunction basicToDigit(codePoint) {\n\t\tif (codePoint - 48 < 10) {\n\t\t\treturn codePoint - 22;\n\t\t}\n\t\tif (codePoint - 65 < 26) {\n\t\t\treturn codePoint - 65;\n\t\t}\n\t\tif (codePoint - 97 < 26) {\n\t\t\treturn codePoint - 97;\n\t\t}\n\t\treturn base;\n\t}\n\n\t/**\n\t * Converts a digit/integer into a basic code point.\n\t * @see `basicToDigit()`\n\t * @private\n\t * @param {Number} digit The numeric value of a basic code point.\n\t * @returns {Number} The basic code point whose value (when used for\n\t * representing integers) is `digit`, which needs to be in the range\n\t * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is\n\t * used; else, the lowercase form is used. The behavior is undefined\n\t * if `flag` is non-zero and `digit` has no uppercase form.\n\t */\n\tfunction digitToBasic(digit, flag) {\n\t\t//  0..25 map to ASCII a..z or A..Z\n\t\t// 26..35 map to ASCII 0..9\n\t\treturn digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5);\n\t}\n\n\t/**\n\t * Bias adaptation function as per section 3.4 of RFC 3492.\n\t * https://tools.ietf.org/html/rfc3492#section-3.4\n\t * @private\n\t */\n\tfunction adapt(delta, numPoints, firstTime) {\n\t\tvar k = 0;\n\t\tdelta = firstTime ? floor(delta / damp) : delta >> 1;\n\t\tdelta += floor(delta / numPoints);\n\t\tfor (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) {\n\t\t\tdelta = floor(delta / baseMinusTMin);\n\t\t}\n\t\treturn floor(k + (baseMinusTMin + 1) * delta / (delta + skew));\n\t}\n\n\t/**\n\t * Converts a Punycode string of ASCII-only symbols to a string of Unicode\n\t * symbols.\n\t * @memberOf punycode\n\t * @param {String} input The Punycode string of ASCII-only symbols.\n\t * @returns {String} The resulting string of Unicode symbols.\n\t */\n\tfunction decode(input) {\n\t\t// Don't use UCS-2\n\t\tvar output = [],\n\t\t    inputLength = input.length,\n\t\t    out,\n\t\t    i = 0,\n\t\t    n = initialN,\n\t\t    bias = initialBias,\n\t\t    basic,\n\t\t    j,\n\t\t    index,\n\t\t    oldi,\n\t\t    w,\n\t\t    k,\n\t\t    digit,\n\t\t    t,\n\t\t    /** Cached calculation results */\n\t\t    baseMinusT;\n\n\t\t// Handle the basic code points: let `basic` be the number of input code\n\t\t// points before the last delimiter, or `0` if there is none, then copy\n\t\t// the first basic code points to the output.\n\n\t\tbasic = input.lastIndexOf(delimiter);\n\t\tif (basic < 0) {\n\t\t\tbasic = 0;\n\t\t}\n\n\t\tfor (j = 0; j < basic; ++j) {\n\t\t\t// if it's not a basic code point\n\t\t\tif (input.charCodeAt(j) >= 0x80) {\n\t\t\t\terror('not-basic');\n\t\t\t}\n\t\t\toutput.push(input.charCodeAt(j));\n\t\t}\n\n\t\t// Main decoding loop: start just after the last delimiter if any basic code\n\t\t// points were copied; start at the beginning otherwise.\n\n\t\tfor (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) {\n\n\t\t\t// `index` is the index of the next character to be consumed.\n\t\t\t// Decode a generalized variable-length integer into `delta`,\n\t\t\t// which gets added to `i`. The overflow checking is easier\n\t\t\t// if we increase `i` as we go, then subtract off its starting\n\t\t\t// value at the end to obtain `delta`.\n\t\t\tfor (oldi = i, w = 1, k = base; /* no condition */; k += base) {\n\n\t\t\t\tif (index >= inputLength) {\n\t\t\t\t\terror('invalid-input');\n\t\t\t\t}\n\n\t\t\t\tdigit = basicToDigit(input.charCodeAt(index++));\n\n\t\t\t\tif (digit >= base || digit > floor((maxInt - i) / w)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\ti += digit * w;\n\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\n\t\t\t\tif (digit < t) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\tbaseMinusT = base - t;\n\t\t\t\tif (w > floor(maxInt / baseMinusT)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tw *= baseMinusT;\n\n\t\t\t}\n\n\t\t\tout = output.length + 1;\n\t\t\tbias = adapt(i - oldi, out, oldi == 0);\n\n\t\t\t// `i` was supposed to wrap around from `out` to `0`,\n\t\t\t// incrementing `n` each time, so we'll fix that now:\n\t\t\tif (floor(i / out) > maxInt - n) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tn += floor(i / out);\n\t\t\ti %= out;\n\n\t\t\t// Insert `n` at position `i` of the output\n\t\t\toutput.splice(i++, 0, n);\n\n\t\t}\n\n\t\treturn ucs2encode(output);\n\t}\n\n\t/**\n\t * Converts a string of Unicode symbols (e.g. a domain name label) to a\n\t * Punycode string of ASCII-only symbols.\n\t * @memberOf punycode\n\t * @param {String} input The string of Unicode symbols.\n\t * @returns {String} The resulting Punycode string of ASCII-only symbols.\n\t */\n\tfunction encode(input) {\n\t\tvar n,\n\t\t    delta,\n\t\t    handledCPCount,\n\t\t    basicLength,\n\t\t    bias,\n\t\t    j,\n\t\t    m,\n\t\t    q,\n\t\t    k,\n\t\t    t,\n\t\t    currentValue,\n\t\t    output = [],\n\t\t    /** `inputLength` will hold the number of code points in `input`. */\n\t\t    inputLength,\n\t\t    /** Cached calculation results */\n\t\t    handledCPCountPlusOne,\n\t\t    baseMinusT,\n\t\t    qMinusT;\n\n\t\t// Convert the input in UCS-2 to Unicode\n\t\tinput = ucs2decode(input);\n\n\t\t// Cache the length\n\t\tinputLength = input.length;\n\n\t\t// Initialize the state\n\t\tn = initialN;\n\t\tdelta = 0;\n\t\tbias = initialBias;\n\n\t\t// Handle the basic code points\n\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\tcurrentValue = input[j];\n\t\t\tif (currentValue < 0x80) {\n\t\t\t\toutput.push(stringFromCharCode(currentValue));\n\t\t\t}\n\t\t}\n\n\t\thandledCPCount = basicLength = output.length;\n\n\t\t// `handledCPCount` is the number of code points that have been handled;\n\t\t// `basicLength` is the number of basic code points.\n\n\t\t// Finish the basic string - if it is not empty - with a delimiter\n\t\tif (basicLength) {\n\t\t\toutput.push(delimiter);\n\t\t}\n\n\t\t// Main encoding loop:\n\t\twhile (handledCPCount < inputLength) {\n\n\t\t\t// All non-basic code points < n have been handled already. Find the next\n\t\t\t// larger one:\n\t\t\tfor (m = maxInt, j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\t\t\t\tif (currentValue >= n && currentValue < m) {\n\t\t\t\t\tm = currentValue;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Increase `delta` enough to advance the decoder's <n,i> state to <m,0>,\n\t\t\t// but guard against overflow\n\t\t\thandledCPCountPlusOne = handledCPCount + 1;\n\t\t\tif (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tdelta += (m - n) * handledCPCountPlusOne;\n\t\t\tn = m;\n\n\t\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\n\t\t\t\tif (currentValue < n && ++delta > maxInt) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tif (currentValue == n) {\n\t\t\t\t\t// Represent delta as a generalized variable-length integer\n\t\t\t\t\tfor (q = delta, k = base; /* no condition */; k += base) {\n\t\t\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\t\t\t\t\t\tif (q < t) {\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tqMinusT = q - t;\n\t\t\t\t\t\tbaseMinusT = base - t;\n\t\t\t\t\t\toutput.push(\n\t\t\t\t\t\t\tstringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0))\n\t\t\t\t\t\t);\n\t\t\t\t\t\tq = floor(qMinusT / baseMinusT);\n\t\t\t\t\t}\n\n\t\t\t\t\toutput.push(stringFromCharCode(digitToBasic(q, 0)));\n\t\t\t\t\tbias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength);\n\t\t\t\t\tdelta = 0;\n\t\t\t\t\t++handledCPCount;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t++delta;\n\t\t\t++n;\n\n\t\t}\n\t\treturn output.join('');\n\t}\n\n\t/**\n\t * Converts a Punycode string representing a domain name or an email address\n\t * to Unicode. Only the Punycoded parts of the input will be converted, i.e.\n\t * it doesn't matter if you call it on a string that has already been\n\t * converted to Unicode.\n\t * @memberOf punycode\n\t * @param {String} input The Punycoded domain name or email address to\n\t * convert to Unicode.\n\t * @returns {String} The Unicode representation of the given Punycode\n\t * string.\n\t */\n\tfunction toUnicode(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexPunycode.test(string)\n\t\t\t\t? decode(string.slice(4).toLowerCase())\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/**\n\t * Converts a Unicode string representing a domain name or an email address to\n\t * Punycode. Only the non-ASCII parts of the domain name will be converted,\n\t * i.e. it doesn't matter if you call it with a domain that's already in\n\t * ASCII.\n\t * @memberOf punycode\n\t * @param {String} input The domain name or email address to convert, as a\n\t * Unicode string.\n\t * @returns {String} The Punycode representation of the given domain name or\n\t * email address.\n\t */\n\tfunction toASCII(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexNonASCII.test(string)\n\t\t\t\t? 'xn--' + encode(string)\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/** Define the public API */\n\tpunycode = {\n\t\t/**\n\t\t * A string representing the current Punycode.js version number.\n\t\t * @memberOf punycode\n\t\t * @type String\n\t\t */\n\t\t'version': '1.4.1',\n\t\t/**\n\t\t * An object of methods to convert from JavaScript's internal character\n\t\t * representation (UCS-2) to Unicode code points, and back.\n\t\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t\t * @memberOf punycode\n\t\t * @type Object\n\t\t */\n\t\t'ucs2': {\n\t\t\t'decode': ucs2decode,\n\t\t\t'encode': ucs2encode\n\t\t},\n\t\t'decode': decode,\n\t\t'encode': encode,\n\t\t'toASCII': toASCII,\n\t\t'toUnicode': toUnicode\n\t};\n\n\t/** Expose `punycode` */\n\t// Some AMD build optimizers, like r.js, check for specific condition patterns\n\t// like the following:\n\tif (\n\t\ttypeof define == 'function' &&\n\t\ttypeof define.amd == 'object' &&\n\t\tdefine.amd\n\t) {\n\t\tdefine('punycode', function() {\n\t\t\treturn punycode;\n\t\t});\n\t} else if (freeExports && freeModule) {\n\t\tif (module.exports == freeExports) {\n\t\t\t// in Node.js, io.js, or RingoJS v0.8.0+\n\t\t\tfreeModule.exports = punycode;\n\t\t} else {\n\t\t\t// in Narwhal or RingoJS v0.7.0-\n\t\t\tfor (key in punycode) {\n\t\t\t\tpunycode.hasOwnProperty(key) && (freeExports[key] = punycode[key]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\t// in Rhino or a web browser\n\t\troot.punycode = punycode;\n\t}\n\n}(this));\n"},"lineCount":536}},"hash":"a0645c33bfcc9af98b92253806877d5f","cacheData":{"env":{}}}
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@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/@tensorflow/tfjs-converter/package.json","includedInParent":true,"mtime":1529587045000},{"name":"./executors/arithmetic_executor","loc":{"line":1,"column":28}},{"name":"./executors/basic_math_executor","loc":{"line":2,"column":27}},{"name":"./executors/control_executor","loc":{"line":3,"column":25}},{"name":"./executors/convolution_executor","loc":{"line":4,"column":29}},{"name":"./executors/creation_executor","loc":{"line":5,"column":26}},{"name":"./executors/graph_executor","loc":{"line":6,"column":23}},{"name":"./executors/image_executor","loc":{"line":7,"column":23}},{"name":"./executors/logical_executor","loc":{"line":8,"column":25}},{"name":"./executors/matrices_executor","loc":{"line":9,"column":26}},{"name":"./executors/normalization_executor","loc":{"line":10,"column":31}},{"name":"./executors/reduction_executor","loc":{"line":11,"column":27}},{"name":"./executors/slice_join_executor","loc":{"line":12,"column":27}},{"name":"./executors/transformation_executor","loc":{"line":13,"column":32}}],"generated":{"js":"'use strict';\n\nObject.defineProperty(exports, \"__esModule\", {\n    value: true\n});\nexports.executeOp = executeOp;\n\nvar _arithmetic_executor = require('./executors/arithmetic_executor');\n\nvar arithmetic = _interopRequireWildcard(_arithmetic_executor);\n\nvar _basic_math_executor = require('./executors/basic_math_executor');\n\nvar basicMath = _interopRequireWildcard(_basic_math_executor);\n\nvar _control_executor = require('./executors/control_executor');\n\nvar control = _interopRequireWildcard(_control_executor);\n\nvar _convolution_executor = require('./executors/convolution_executor');\n\nvar convolution = _interopRequireWildcard(_convolution_executor);\n\nvar _creation_executor = require('./executors/creation_executor');\n\nvar creation = _interopRequireWildcard(_creation_executor);\n\nvar _graph_executor = require('./executors/graph_executor');\n\nvar graph = _interopRequireWildcard(_graph_executor);\n\nvar _image_executor = require('./executors/image_executor');\n\nvar image = _interopRequireWildcard(_image_executor);\n\nvar _logical_executor = require('./executors/logical_executor');\n\nvar logical = _interopRequireWildcard(_logical_executor);\n\nvar _matrices_executor = require('./executors/matrices_executor');\n\nvar matrices = _interopRequireWildcard(_matrices_executor);\n\nvar _normalization_executor = require('./executors/normalization_executor');\n\nvar normalization = _interopRequireWildcard(_normalization_executor);\n\nvar _reduction_executor = require('./executors/reduction_executor');\n\nvar reduction = _interopRequireWildcard(_reduction_executor);\n\nvar _slice_join_executor = require('./executors/slice_join_executor');\n\nvar sliceJoin = _interopRequireWildcard(_slice_join_executor);\n\nvar _transformation_executor = require('./executors/transformation_executor');\n\nvar transformation = _interopRequireWildcard(_transformation_executor);\n\nfunction _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = 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new file mode 100644
index 00000000..f25dbaeb
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index 00000000..cce05699
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 // f(r, k)\n    utils.expand(l, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = l;\n    l = (r ^ f) >>> 0;\n    r = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(l, r, out, off);\n};\n"},"lineCount":144}},"hash":"cd5dc66b4dce8f38e770d479316e8189","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/9f99c42d69c631b16e9321a6df383b7a.json b/tictac/.cache/9f99c42d69c631b16e9321a6df383b7a.json
new file mode 100644
index 00000000..a6403b68
--- /dev/null
+++ b/tictac/.cache/9f99c42d69c631b16e9321a6df383b7a.json
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new file mode 100644
index 00000000..ad9dbcdd
--- /dev/null
+++ b/tictac/.cache/a113ba6ef65e7c77ef967cbd7b34759e.json
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diff --git a/tictac/.cache/b60384a6f1389b97a08baf666308e176.json b/tictac/.cache/b60384a6f1389b97a08baf666308e176.json
new file mode 100644
index 00000000..876cf332
--- /dev/null
+++ b/tictac/.cache/b60384a6f1389b97a08baf666308e176.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/public-encrypt/package.json","includedInParent":true,"mtime":499162500000},{"name":"bn.js","loc":{"line":1,"column":17}},{"name":"buffer"}],"generated":{"js":"var Buffer = require(\"buffer\").Buffer;\nvar bn = require('bn.js');\nfunction withPublic(paddedMsg, key) {\n  return new Buffer(paddedMsg\n    .toRed(bn.mont(key.modulus))\n    .redPow(new bn(key.publicExponent))\n    .fromRed()\n    .toArray());\n}\n\nmodule.exports = withPublic;","map":{"mappings":[{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":1,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":2,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":3,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":4,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":5,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":6,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":7,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":8,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":9,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/public-encrypt/withPublic.js","original":{"line":10,"column":0},"generated":{"line":11,"column":0}}],"sources":{"node_modules/public-encrypt/withPublic.js":"var bn = require('bn.js');\nfunction withPublic(paddedMsg, key) {\n  return new Buffer(paddedMsg\n    .toRed(bn.mont(key.modulus))\n    .redPow(new bn(key.publicExponent))\n    .fromRed()\n    .toArray());\n}\n\nmodule.exports = withPublic;"},"lineCount":11}},"hash":"d141ac96a5f95d1251633b76c130cb49","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/b64e2695f5c8fe662eaafac3728056b3.json b/tictac/.cache/b64e2695f5c8fe662eaafac3728056b3.json
new file mode 100644
index 00000000..cf733c5d
--- /dev/null
+++ b/tictac/.cache/b64e2695f5c8fe662eaafac3728056b3.json
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+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-rsa/package.json","includedInParent":true,"mtime":1456441193000},{"name":"bn.js","loc":{"line":1,"column":17}},{"name":"randombytes","loc":{"line":2,"column":26}},{"name":"buffer"}],"generated":{"js":"var Buffer = require(\"buffer\").Buffer;\nvar bn = require('bn.js');\nvar randomBytes = require('randombytes');\nmodule.exports = crt;\nfunction blind(priv) {\n  var r = getr(priv);\n  var blinder = r.toRed(bn.mont(priv.modulus))\n  .redPow(new bn(priv.publicExponent)).fromRed();\n  return {\n    blinder: blinder,\n    unblinder:r.invm(priv.modulus)\n  };\n}\nfunction crt(msg, priv) {\n  var blinds = blind(priv);\n  var len = priv.modulus.byteLength();\n  var mod = bn.mont(priv.modulus);\n  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);\n  var c1 = blinded.toRed(bn.mont(priv.prime1));\n  var c2 = blinded.toRed(bn.mont(priv.prime2));\n  var qinv = priv.coefficient;\n  var p = priv.prime1;\n  var q = priv.prime2;\n  var m1 = c1.redPow(priv.exponent1);\n  var m2 = c2.redPow(priv.exponent2);\n  m1 = m1.fromRed();\n  m2 = m2.fromRed();\n  var h = m1.isub(m2).imul(qinv).umod(p);\n  h.imul(q);\n  m2.iadd(h);\n  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));\n}\ncrt.getr = getr;\nfunction getr(priv) {\n  var len = priv.modulus.byteLength();\n  var r = new bn(randomBytes(len));\n  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {\n    r = new bn(randomBytes(len));\n  }\n  return 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bn = require('bn.js');\nvar randomBytes = require('randombytes');\nmodule.exports = crt;\nfunction blind(priv) {\n  var r = getr(priv);\n  var blinder = r.toRed(bn.mont(priv.modulus))\n  .redPow(new bn(priv.publicExponent)).fromRed();\n  return {\n    blinder: blinder,\n    unblinder:r.invm(priv.modulus)\n  };\n}\nfunction crt(msg, priv) {\n  var blinds = blind(priv);\n  var len = priv.modulus.byteLength();\n  var mod = bn.mont(priv.modulus);\n  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);\n  var c1 = blinded.toRed(bn.mont(priv.prime1));\n  var c2 = blinded.toRed(bn.mont(priv.prime2));\n  var qinv = priv.coefficient;\n  var p = priv.prime1;\n  var q = priv.prime2;\n  var m1 = c1.redPow(priv.exponent1);\n  var m2 = c2.redPow(priv.exponent2);\n  m1 = m1.fromRed();\n  m2 = m2.fromRed();\n  var h = m1.isub(m2).imul(qinv).umod(p);\n  h.imul(q);\n  m2.iadd(h);\n  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));\n}\ncrt.getr = getr;\nfunction getr(priv) {\n  var len = priv.modulus.byteLength();\n  var r = new bn(randomBytes(len));\n  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {\n    r = new bn(randomBytes(len));\n  }\n  return r;\n}\n"},"lineCount":42}},"hash":"546f516e8532648a90936821db04971a","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/b6be0682be9cb354080c939c13b9a04e.json b/tictac/.cache/b6be0682be9cb354080c939c13b9a04e.json
new file mode 100644
index 00000000..e0c23e7b
--- /dev/null
+++ b/tictac/.cache/b6be0682be9cb354080c939c13b9a04e.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/base64-js/package.json","includedInParent":true,"mtime":499162500000}],"generated":{"js":"'use strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  for (var i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num 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new file mode 100644
index 00000000..34ca75b2
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messagePrefix() {\n  return this.hash().slice(this.eddsa.encodingLength);\n});\n\nKeyPair.prototype.sign = function sign(message) {\n  assert(this._secret, 'KeyPair can only verify');\n  return this.eddsa.sign(message, this);\n};\n\nKeyPair.prototype.verify = function verify(message, sig) {\n  return this.eddsa.verify(message, sig, this);\n};\n\nKeyPair.prototype.getSecret = function getSecret(enc) {\n  assert(this._secret, 'KeyPair is public only');\n  return utils.encode(this.secret(), enc);\n};\n\nKeyPair.prototype.getPublic = function getPublic(enc) {\n  return utils.encode(this.pubBytes(), enc);\n};\n\nmodule.exports = KeyPair;\n"},"lineCount":97}},"hash":"7e817fac0a7342e392ac1f7344eec739","cacheData":{"env":{}}}
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new file mode 100644
index 00000000..2248bd73
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+++ b/tictac/.cache/bb1d2559a29819917c4e6cfbd062aa58.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/hash.js/package.json","includedInParent":true,"mtime":499162500000},{"name":"../utils","loc":{"line":3,"column":20}},{"name":"../common","loc":{"line":4,"column":21}},{"name":"minimalistic-assert","loc":{"line":5,"column":21}}],"generated":{"js":"'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar assert = require('minimalistic-assert');\n\nvar rotr64_hi = utils.rotr64_hi;\nvar rotr64_lo = utils.rotr64_lo;\nvar shr64_hi = utils.shr64_hi;\nvar shr64_lo = utils.shr64_lo;\nvar sum64 = utils.sum64;\nvar sum64_hi = utils.sum64_hi;\nvar sum64_lo = utils.sum64_lo;\nvar sum64_4_hi = utils.sum64_4_hi;\nvar sum64_4_lo = utils.sum64_4_lo;\nvar sum64_5_hi = utils.sum64_5_hi;\nvar sum64_5_lo = utils.sum64_5_lo;\n\nvar BlockHash = common.BlockHash;\n\nvar sha512_K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n];\n\nfunction SHA512() {\n  if (!(this instanceof SHA512))\n    return new SHA512();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xf3bcc908,\n    0xbb67ae85, 0x84caa73b,\n    0x3c6ef372, 0xfe94f82b,\n    0xa54ff53a, 0x5f1d36f1,\n    0x510e527f, 0xade682d1,\n    0x9b05688c, 0x2b3e6c1f,\n    0x1f83d9ab, 0xfb41bd6b,\n    0x5be0cd19, 0x137e2179 ];\n  this.k = sha512_K;\n  this.W = new Array(160);\n}\nutils.inherits(SHA512, BlockHash);\nmodule.exports = SHA512;\n\nSHA512.blockSize = 1024;\nSHA512.outSize = 512;\nSHA512.hmacStrength = 192;\nSHA512.padLength = 128;\n\nSHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {\n  var W = this.W;\n\n  // 32 x 32bit words\n  for (var i = 0; i < 32; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i += 2) {\n    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2\n    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);\n    var c1_hi = W[i - 14];  // i - 7\n    var c1_lo = W[i - 13];\n    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15\n    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);\n    var c3_hi = W[i - 32];  // i - 16\n    var c3_lo = W[i - 31];\n\n    W[i] = sum64_4_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n    W[i + 1] = sum64_4_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n  }\n};\n\nSHA512.prototype._update = function _update(msg, start) {\n  this._prepareBlock(msg, start);\n\n  var W = this.W;\n\n  var ah = this.h[0];\n  var al = this.h[1];\n  var bh = this.h[2];\n  var bl = this.h[3];\n  var ch = this.h[4];\n  var cl = this.h[5];\n  var dh = this.h[6];\n  var dl = this.h[7];\n  var eh = this.h[8];\n  var el = this.h[9];\n  var fh = this.h[10];\n  var fl = this.h[11];\n  var gh = this.h[12];\n  var gl = this.h[13];\n  var hh = this.h[14];\n  var hl = this.h[15];\n\n  assert(this.k.length === W.length);\n  for (var i = 0; i < W.length; i += 2) {\n    var c0_hi = hh;\n    var c0_lo = hl;\n    var c1_hi = s1_512_hi(eh, el);\n    var c1_lo = s1_512_lo(eh, el);\n    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);\n    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);\n    var c3_hi = this.k[i];\n    var c3_lo = this.k[i + 1];\n    var c4_hi = W[i];\n    var c4_lo = W[i + 1];\n\n    var T1_hi = sum64_5_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n    var T1_lo = sum64_5_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n\n    c0_hi = s0_512_hi(ah, al);\n    c0_lo = s0_512_lo(ah, al);\n    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);\n    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);\n\n    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);\n    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);\n\n    hh = gh;\n    hl = gl;\n\n    gh = fh;\n    gl = fl;\n\n    fh = eh;\n    fl = el;\n\n    eh = sum64_hi(dh, dl, T1_hi, T1_lo);\n    el = sum64_lo(dl, dl, T1_hi, T1_lo);\n\n    dh = ch;\n    dl = cl;\n\n    ch = bh;\n    cl = bl;\n\n    bh = ah;\n    bl = al;\n\n    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);\n    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);\n  }\n\n  sum64(this.h, 0, ah, al);\n  sum64(this.h, 2, bh, bl);\n  sum64(this.h, 4, ch, cl);\n  sum64(this.h, 6, dh, dl);\n  sum64(this.h, 8, eh, el);\n  sum64(this.h, 10, fh, fl);\n  sum64(this.h, 12, gh, gl);\n  sum64(this.h, 14, hh, hl);\n};\n\nSHA512.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n\nfunction ch64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ ((~xh) & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction ch64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ ((~xl) & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 28);\n  var c1_hi = rotr64_hi(xl, xh, 2);  // 34\n  var c2_hi = rotr64_hi(xl, xh, 7);  // 39\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 28);\n  var c1_lo = rotr64_lo(xl, xh, 2);  // 34\n  var c2_lo = rotr64_lo(xl, xh, 7);  // 39\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 14);\n  var c1_hi = rotr64_hi(xh, xl, 18);\n  var c2_hi = rotr64_hi(xl, xh, 9);  // 41\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 14);\n  var c1_lo = rotr64_lo(xh, xl, 18);\n  var c2_lo = rotr64_lo(xl, xh, 9);  // 41\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 1);\n  var c1_hi = rotr64_hi(xh, xl, 8);\n  var c2_hi = shr64_hi(xh, xl, 7);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 1);\n  var c1_lo = rotr64_lo(xh, xl, 8);\n  var c2_lo = shr64_lo(xh, xl, 7);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 19);\n  var c1_hi = rotr64_hi(xl, xh, 29);  // 61\n  var c2_hi = shr64_hi(xh, xl, 6);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 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0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n];\n\nfunction SHA512() {\n  if (!(this instanceof SHA512))\n    return new SHA512();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xf3bcc908,\n    0xbb67ae85, 0x84caa73b,\n    0x3c6ef372, 0xfe94f82b,\n    0xa54ff53a, 0x5f1d36f1,\n    0x510e527f, 0xade682d1,\n    0x9b05688c, 0x2b3e6c1f,\n    0x1f83d9ab, 0xfb41bd6b,\n    0x5be0cd19, 0x137e2179 ];\n  this.k = sha512_K;\n  this.W = new Array(160);\n}\nutils.inherits(SHA512, BlockHash);\nmodule.exports = SHA512;\n\nSHA512.blockSize = 1024;\nSHA512.outSize = 512;\nSHA512.hmacStrength = 192;\nSHA512.padLength = 128;\n\nSHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {\n  var W = this.W;\n\n  // 32 x 32bit words\n  for (var i = 0; i < 32; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i += 2) {\n    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2\n    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);\n    var c1_hi = W[i - 14];  // i - 7\n    var c1_lo = W[i - 13];\n    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15\n    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);\n    var c3_hi = W[i - 32];  // i - 16\n    var c3_lo = W[i - 31];\n\n    W[i] = sum64_4_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n    W[i + 1] = sum64_4_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n  }\n};\n\nSHA512.prototype._update = function _update(msg, start) {\n  this._prepareBlock(msg, start);\n\n  var W = this.W;\n\n  var ah = this.h[0];\n  var al = this.h[1];\n  var bh = this.h[2];\n  var bl = this.h[3];\n  var ch = this.h[4];\n  var cl = this.h[5];\n  var dh = this.h[6];\n  var dl = this.h[7];\n  var eh = this.h[8];\n  var el = this.h[9];\n  var fh = this.h[10];\n  var fl = this.h[11];\n  var gh = this.h[12];\n  var gl = this.h[13];\n  var hh = this.h[14];\n  var hl = this.h[15];\n\n  assert(this.k.length === W.length);\n  for (var i = 0; i < W.length; i += 2) {\n    var c0_hi = hh;\n    var c0_lo = hl;\n    var c1_hi = s1_512_hi(eh, el);\n    var c1_lo = s1_512_lo(eh, el);\n    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);\n    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);\n    var c3_hi = this.k[i];\n    var c3_lo = this.k[i + 1];\n    var c4_hi = W[i];\n    var c4_lo = W[i + 1];\n\n    var T1_hi = sum64_5_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n    var T1_lo = sum64_5_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n\n    c0_hi = s0_512_hi(ah, al);\n    c0_lo = s0_512_lo(ah, al);\n    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);\n    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);\n\n    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);\n    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);\n\n    hh = gh;\n    hl = gl;\n\n    gh = fh;\n    gl = fl;\n\n    fh = eh;\n    fl = el;\n\n    eh = sum64_hi(dh, dl, T1_hi, T1_lo);\n    el = sum64_lo(dl, dl, T1_hi, T1_lo);\n\n    dh = ch;\n    dl = cl;\n\n    ch = bh;\n    cl = bl;\n\n    bh = ah;\n    bl = al;\n\n    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);\n    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);\n  }\n\n  sum64(this.h, 0, ah, al);\n  sum64(this.h, 2, bh, bl);\n  sum64(this.h, 4, ch, cl);\n  sum64(this.h, 6, dh, dl);\n  sum64(this.h, 8, eh, el);\n  sum64(this.h, 10, fh, fl);\n  sum64(this.h, 12, gh, gl);\n  sum64(this.h, 14, hh, hl);\n};\n\nSHA512.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n\nfunction ch64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ ((~xh) & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction ch64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ ((~xl) & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 28);\n  var c1_hi = rotr64_hi(xl, xh, 2);  // 34\n  var c2_hi = rotr64_hi(xl, xh, 7);  // 39\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 28);\n  var c1_lo = rotr64_lo(xl, xh, 2);  // 34\n  var c2_lo = rotr64_lo(xl, xh, 7);  // 39\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 14);\n  var c1_hi = rotr64_hi(xh, xl, 18);\n  var c2_hi = rotr64_hi(xl, xh, 9);  // 41\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 14);\n  var c1_lo = rotr64_lo(xh, xl, 18);\n  var c2_lo = rotr64_lo(xl, xh, 9);  // 41\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 1);\n  var c1_hi = rotr64_hi(xh, xl, 8);\n  var c2_hi = shr64_hi(xh, xl, 7);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 1);\n  var c1_lo = rotr64_lo(xh, xl, 8);\n  var c2_lo = shr64_lo(xh, xl, 7);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 19);\n  var c1_hi = rotr64_hi(xl, xh, 29);  // 61\n  var c2_hi = shr64_hi(xh, xl, 6);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 19);\n  var c1_lo = rotr64_lo(xl, xh, 29);  // 61\n  var c2_lo = shr64_lo(xh, xl, 6);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n"},"lineCount":331}},"hash":"ee25a39a6413e5e019881e5b55c37e9b","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/bc841ad8bb3684044543c29673f5c017.json b/tictac/.cache/bc841ad8bb3684044543c29673f5c017.json
new file mode 100644
index 00000000..fc8caa5f
--- /dev/null
+++ b/tictac/.cache/bc841ad8bb3684044543c29673f5c017.json
@@ -0,0 +1 @@
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Object.freeze([]) : /* istanbul ignore next */ []; // used on prototypes\r\n\r\n/**\r\n * An immutable empty object.\r\n * @type {Object}\r\n * @const\r\n */\r\nutil.emptyObject = Object.freeze ? Object.freeze({}) : /* istanbul ignore next */ {}; // used on prototypes\r\n\r\n/**\r\n * Whether running within node or not.\r\n * @memberof util\r\n * @type {boolean}\r\n * @const\r\n */\r\nutil.isNode = Boolean(global.process && global.process.versions && global.process.versions.node);\r\n\r\n/**\r\n * Tests if the specified value is an integer.\r\n * @function\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is an integer\r\n */\r\nutil.isInteger = Number.isInteger || /* istanbul ignore next */ function isInteger(value) {\r\n    return typeof value === \"number\" && isFinite(value) && Math.floor(value) === value;\r\n};\r\n\r\n/**\r\n * Tests if the specified value is a string.\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is a string\r\n */\r\nutil.isString = function isString(value) {\r\n    return typeof value === \"string\" || value instanceof String;\r\n};\r\n\r\n/**\r\n * Tests if the specified value is a non-null object.\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is a non-null object\r\n */\r\nutil.isObject = function isObject(value) {\r\n    return value && typeof value === \"object\";\r\n};\r\n\r\n/**\r\n * Checks if a property on a message is considered to be present.\r\n * This is an alias of {@link util.isSet}.\r\n * @function\r\n * @param {Object} obj Plain object or message instance\r\n * @param {string} prop Property name\r\n * @returns {boolean} `true` if considered to be present, otherwise `false`\r\n */\r\nutil.isset =\r\n\r\n/**\r\n * Checks if a property on a message is considered to be present.\r\n * @param {Object} obj Plain object or message instance\r\n * @param {string} prop Property name\r\n * @returns {boolean} `true` if considered to be present, otherwise `false`\r\n */\r\nutil.isSet = function isSet(obj, prop) {\r\n    var value = obj[prop];\r\n    if (value != null && obj.hasOwnProperty(prop)) // eslint-disable-line eqeqeq, no-prototype-builtins\r\n        return typeof value !== \"object\" || (Array.isArray(value) ? value.length : Object.keys(value).length) > 0;\r\n    return false;\r\n};\r\n\r\n/**\r\n * Any compatible Buffer instance.\r\n * This is a minimal stand-alone definition of a Buffer instance. The actual type is that exported by node's typings.\r\n * @interface Buffer\r\n * @extends Uint8Array\r\n */\r\n\r\n/**\r\n * Node's Buffer class if available.\r\n * @type {Constructor<Buffer>}\r\n */\r\nutil.Buffer = (function() {\r\n    try {\r\n        var Buffer = util.inquire(\"buffer\").Buffer;\r\n        // refuse to use non-node buffers if not explicitly assigned (perf reasons):\r\n        return Buffer.prototype.utf8Write ? Buffer : /* istanbul ignore next */ null;\r\n    } catch (e) {\r\n        /* istanbul ignore next */\r\n        return null;\r\n    }\r\n})();\r\n\r\n// Internal alias of or polyfull for Buffer.from.\r\nutil._Buffer_from = null;\r\n\r\n// Internal alias of or polyfill for Buffer.allocUnsafe.\r\nutil._Buffer_allocUnsafe = null;\r\n\r\n/**\r\n * Creates a new buffer of whatever type supported by the environment.\r\n * @param {number|number[]} [sizeOrArray=0] Buffer size or number array\r\n * @returns {Uint8Array|Buffer} Buffer\r\n */\r\nutil.newBuffer = function newBuffer(sizeOrArray) {\r\n    /* istanbul ignore next */\r\n    return typeof sizeOrArray === \"number\"\r\n        ? util.Buffer\r\n            ? util._Buffer_allocUnsafe(sizeOrArray)\r\n            : new util.Array(sizeOrArray)\r\n        : util.Buffer\r\n            ? util._Buffer_from(sizeOrArray)\r\n            : typeof Uint8Array === \"undefined\"\r\n                ? sizeOrArray\r\n                : new Uint8Array(sizeOrArray);\r\n};\r\n\r\n/**\r\n * Array implementation used in the browser. `Uint8Array` if supported, otherwise `Array`.\r\n * @type {Constructor<Uint8Array>}\r\n */\r\nutil.Array = typeof Uint8Array !== \"undefined\" ? 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The actual type is that exported by long.js.\r\n * @interface Long\r\n * @property {number} low Low bits\r\n * @property {number} high High bits\r\n * @property {boolean} unsigned Whether unsigned or not\r\n */\r\n\r\n/**\r\n * Long.js's Long class if available.\r\n * @type {Constructor<Long>}\r\n */\r\nutil.Long = /* istanbul ignore next */ global.dcodeIO && /* istanbul ignore next */ global.dcodeIO.Long || util.inquire(\"long\");\r\n\r\n/**\r\n * Regular expression used to verify 2 bit (`bool`) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key2Re = /^true|false|0|1$/;\r\n\r\n/**\r\n * Regular expression used to verify 32 bit (`int32` etc.) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key32Re = /^-?(?:0|[1-9][0-9]*)$/;\r\n\r\n/**\r\n * Regular expression used to verify 64 bit (`int64` etc.) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key64Re = /^(?:[\\\\x00-\\\\xff]{8}|-?(?:0|[1-9][0-9]*))$/;\r\n\r\n/**\r\n * Converts a number or long to an 8 characters long hash string.\r\n * @param {Long|number} value Value to convert\r\n * @returns {string} Hash\r\n */\r\nutil.longToHash = function longToHash(value) {\r\n    return value\r\n        ? util.LongBits.from(value).toHash()\r\n        : util.LongBits.zeroHash;\r\n};\r\n\r\n/**\r\n * Converts an 8 characters long hash string to a long or number.\r\n * @param {string} hash Hash\r\n * @param {boolean} [unsigned=false] Whether unsigned or not\r\n * @returns {Long|number} Original value\r\n */\r\nutil.longFromHash = function longFromHash(hash, unsigned) {\r\n    var bits = util.LongBits.fromHash(hash);\r\n    if (util.Long)\r\n        return util.Long.fromBits(bits.lo, bits.hi, unsigned);\r\n    return bits.toNumber(Boolean(unsigned));\r\n};\r\n\r\n/**\r\n * Merges the properties of the source object into the destination object.\r\n * @memberof util\r\n * @param {Object.<string,*>} dst Destination object\r\n * @param {Object.<string,*>} src Source object\r\n * @param {boolean} [ifNotSet=false] Merges only if the key is not already set\r\n * @returns {Object.<string,*>} Destination object\r\n */\r\nfunction merge(dst, src, ifNotSet) { // used by converters\r\n    for (var keys = Object.keys(src), i = 0; i < keys.length; ++i)\r\n        if (dst[keys[i]] === undefined || !ifNotSet)\r\n            dst[keys[i]] = src[keys[i]];\r\n    return dst;\r\n}\r\n\r\nutil.merge = merge;\r\n\r\n/**\r\n * Converts the first character of a string to lower case.\r\n * @param {string} str String to convert\r\n * @returns {string} Converted string\r\n */\r\nutil.lcFirst = function lcFirst(str) {\r\n    return str.charAt(0).toLowerCase() + str.substring(1);\r\n};\r\n\r\n/**\r\n * Creates a custom error constructor.\r\n * @memberof util\r\n * @param {string} name Error name\r\n * @returns {Constructor<Error>} Custom error constructor\r\n */\r\nfunction newError(name) {\r\n\r\n    function CustomError(message, properties) {\r\n\r\n        if (!(this instanceof CustomError))\r\n            return new CustomError(message, properties);\r\n\r\n        // Error.call(this, message);\r\n        // ^ just returns a new error instance because the ctor can be called as a function\r\n\r\n        Object.defineProperty(this, \"message\", { get: function() { return message; } });\r\n\r\n        /* istanbul ignore next */\r\n        if (Error.captureStackTrace) // node\r\n            Error.captureStackTrace(this, CustomError);\r\n        else\r\n            Object.defineProperty(this, \"stack\", { value: (new Error()).stack || \"\" });\r\n\r\n        if (properties)\r\n            merge(this, properties);\r\n    }\r\n\r\n    (CustomError.prototype = Object.create(Error.prototype)).constructor = CustomError;\r\n\r\n    Object.defineProperty(CustomError.prototype, \"name\", { get: function() { return name; } });\r\n\r\n    CustomError.prototype.toString = function toString() {\r\n        return this.name + \": \" + this.message;\r\n    };\r\n\r\n    return CustomError;\r\n}\r\n\r\nutil.newError = newError;\r\n\r\n/**\r\n * Constructs a new protocol error.\r\n * @classdesc Error subclass indicating a protocol specifc error.\r\n * @memberof util\r\n * @extends Error\r\n * @template T extends Message<T>\r\n * @constructor\r\n * @param {string} message Error message\r\n * @param {Object.<string,*>} [properties] Additional properties\r\n * @example\r\n * try {\r\n *     MyMessage.decode(someBuffer); // throws if required fields are missing\r\n * } catch (e) {\r\n *     if (e instanceof ProtocolError && e.instance)\r\n *         console.log(\"decoded so far: \" + JSON.stringify(e.instance));\r\n * }\r\n */\r\nutil.ProtocolError = newError(\"ProtocolError\");\r\n\r\n/**\r\n * So far decoded message instance.\r\n * @name util.ProtocolError#instance\r\n * @type {Message<T>}\r\n */\r\n\r\n/**\r\n * A OneOf getter as returned by {@link util.oneOfGetter}.\r\n * @typedef OneOfGetter\r\n * @type {function}\r\n * @returns {string|undefined} Set field name, if any\r\n */\r\n\r\n/**\r\n * Builds a getter for a oneof's present field name.\r\n * @param {string[]} fieldNames Field names\r\n * @returns {OneOfGetter} Unbound getter\r\n */\r\nutil.oneOfGetter = function getOneOf(fieldNames) {\r\n    var fieldMap = {};\r\n    for (var i = 0; i < fieldNames.length; ++i)\r\n        fieldMap[fieldNames[i]] = 1;\r\n\r\n    /**\r\n     * @returns {string|undefined} Set field name, if any\r\n     * @this Object\r\n     * @ignore\r\n     */\r\n    return function() { // eslint-disable-line consistent-return\r\n        for (var keys = Object.keys(this), i = keys.length - 1; i > -1; --i)\r\n            if (fieldMap[keys[i]] === 1 && this[keys[i]] !== undefined && this[keys[i]] !== null)\r\n                return keys[i];\r\n    };\r\n};\r\n\r\n/**\r\n * A OneOf setter as returned by {@link util.oneOfSetter}.\r\n * @typedef OneOfSetter\r\n * @type {function}\r\n * @param {string|undefined} value Field name\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Builds a setter for a oneof's present field name.\r\n * @param {string[]} fieldNames Field names\r\n * @returns {OneOfSetter} Unbound setter\r\n */\r\nutil.oneOfSetter = function setOneOf(fieldNames) {\r\n\r\n    /**\r\n     * @param {string} name Field name\r\n     * @returns {undefined}\r\n     * @this Object\r\n     * @ignore\r\n     */\r\n    return function(name) {\r\n        for (var i = 0; i < fieldNames.length; ++i)\r\n            if (fieldNames[i] !== name)\r\n                delete this[fieldNames[i]];\r\n    };\r\n};\r\n\r\n/**\r\n * Default conversion options used for {@link Message#toJSON} implementations.\r\n *\r\n * These options are close to proto3's JSON mapping with the exception that internal types like Any are handled just like messages. More precisely:\r\n *\r\n * - Longs become strings\r\n * - Enums become string keys\r\n * - Bytes become base64 encoded strings\r\n * - (Sub-)Messages become plain objects\r\n * - Maps become plain objects with all string keys\r\n * - Repeated fields become arrays\r\n * - NaN and Infinity for float and double fields become strings\r\n *\r\n * @type {IConversionOptions}\r\n * @see https://developers.google.com/protocol-buffers/docs/proto3?hl=en#json\r\n */\r\nutil.toJSONOptions = {\r\n    longs: String,\r\n    enums: String,\r\n    bytes: String,\r\n    json: true\r\n};\r\n\r\nutil._configure = function() {\r\n    var Buffer = util.Buffer;\r\n    /* istanbul ignore if */\r\n    if (!Buffer) {\r\n        util._Buffer_from = util._Buffer_allocUnsafe = null;\r\n        return;\r\n    }\r\n    // because node 4.x buffers are incompatible & immutable\r\n    // see: https://github.com/dcodeIO/protobuf.js/pull/665\r\n    util._Buffer_from = Buffer.from !== Uint8Array.from && Buffer.from ||\r\n        /* istanbul ignore next */\r\n        function Buffer_from(value, encoding) {\r\n            return new Buffer(value, encoding);\r\n        };\r\n    util._Buffer_allocUnsafe = Buffer.allocUnsafe ||\r\n        /* istanbul ignore next */\r\n        function Buffer_allocUnsafe(size) {\r\n            return new Buffer(size);\r\n        };\r\n};\r\n"},"lineCount":408}},"hash":"5df7c64d8f555ba21498c6cff7d6feed","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/bd1ab8e783479d0f683409f55bf8c9b4.json b/tictac/.cache/bd1ab8e783479d0f683409f55bf8c9b4.json
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@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/elliptic/package.json","includedInParent":true,"mtime":1487798844000},{"name":"../curve","loc":{"line":3,"column":20}},{"name":"../../elliptic","loc":{"line":4,"column":23}},{"name":"bn.js","loc":{"line":5,"column":17}},{"name":"inherits","loc":{"line":6,"column":23}}],"generated":{"js":"'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction ShortCurve(conf) {\n  Base.call(this, 'short', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.tinv = this.two.redInvm();\n\n  this.zeroA = this.a.fromRed().cmpn(0) === 0;\n  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;\n\n  // If the curve is endomorphic, precalculate beta and lambda\n  this.endo = this._getEndomorphism(conf);\n  this._endoWnafT1 = new Array(4);\n  this._endoWnafT2 = new Array(4);\n}\ninherits(ShortCurve, Base);\nmodule.exports = ShortCurve;\n\nShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {\n  // No efficient endomorphism\n  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)\n    return;\n\n  // Compute beta and lambda, that lambda * P = (beta * Px; Py)\n  var beta;\n  var lambda;\n  if (conf.beta) {\n    beta = new BN(conf.beta, 16).toRed(this.red);\n  } else {\n    var betas = this._getEndoRoots(this.p);\n    // Choose the smallest beta\n    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];\n    beta = beta.toRed(this.red);\n  }\n  if (conf.lambda) {\n    lambda = new BN(conf.lambda, 16);\n  } else {\n    // Choose the lambda that is matching selected beta\n    var lambdas = this._getEndoRoots(this.n);\n    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {\n      lambda = lambdas[0];\n    } else {\n      lambda = lambdas[1];\n      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);\n    }\n  }\n\n  // Get basis vectors, used for balanced length-two representation\n  var basis;\n  if (conf.basis) {\n    basis = conf.basis.map(function(vec) {\n      return {\n        a: new BN(vec.a, 16),\n        b: new BN(vec.b, 16)\n      };\n    });\n  } else {\n    basis = this._getEndoBasis(lambda);\n  }\n\n  return {\n    beta: beta,\n    lambda: lambda,\n    basis: basis\n  };\n};\n\nShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {\n  // Find roots of for x^2 + x + 1 in F\n  // Root = (-1 +- Sqrt(-3)) / 2\n  //\n  var red = num === this.p ? this.red : BN.mont(num);\n  var tinv = new BN(2).toRed(red).redInvm();\n  var ntinv = tinv.redNeg();\n\n  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);\n\n  var l1 = ntinv.redAdd(s).fromRed();\n  var l2 = ntinv.redSub(s).fromRed();\n  return [ l1, l2 ];\n};\n\nShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {\n  // aprxSqrt >= sqrt(this.n)\n  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));\n\n  // 3.74\n  // Run EGCD, until r(L + 1) < aprxSqrt\n  var u = lambda;\n  var v = this.n.clone();\n  var x1 = new BN(1);\n  var y1 = new BN(0);\n  var x2 = new BN(0);\n  var y2 = new BN(1);\n\n  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)\n  var a0;\n  var b0;\n  // First vector\n  var a1;\n  var b1;\n  // Second vector\n  var a2;\n  var b2;\n\n  var prevR;\n  var i = 0;\n  var r;\n  var x;\n  while (u.cmpn(0) !== 0) {\n    var q = v.div(u);\n    r = v.sub(q.mul(u));\n    x = x2.sub(q.mul(x1));\n    var y = y2.sub(q.mul(y1));\n\n    if (!a1 && r.cmp(aprxSqrt) < 0) {\n      a0 = prevR.neg();\n      b0 = x1;\n      a1 = r.neg();\n      b1 = x;\n    } else if (a1 && ++i === 2) {\n      break;\n    }\n    prevR = r;\n\n    v = u;\n    u = r;\n    x2 = x1;\n    x1 = x;\n    y2 = y1;\n    y1 = y;\n  }\n  a2 = r.neg();\n  b2 = x;\n\n  var len1 = a1.sqr().add(b1.sqr());\n  var len2 = a2.sqr().add(b2.sqr());\n  if (len2.cmp(len1) >= 0) {\n    a2 = a0;\n    b2 = b0;\n  }\n\n  // Normalize signs\n  if (a1.negative) {\n    a1 = a1.neg();\n    b1 = b1.neg();\n  }\n  if (a2.negative) {\n    a2 = a2.neg();\n    b2 = b2.neg();\n  }\n\n  return [\n    { a: a1, b: b1 },\n    { a: a2, b: b2 }\n  ];\n};\n\nShortCurve.prototype._endoSplit = function _endoSplit(k) {\n  var basis = this.endo.basis;\n  var v1 = basis[0];\n  var v2 = basis[1];\n\n  var c1 = v2.b.mul(k).divRound(this.n);\n  var c2 = v1.b.neg().mul(k).divRound(this.n);\n\n  var p1 = c1.mul(v1.a);\n  var p2 = c2.mul(v2.a);\n  var q1 = c1.mul(v1.b);\n  var q2 = c2.mul(v2.b);\n\n  // Calculate answer\n  var k1 = k.sub(p1).sub(p2);\n  var k2 = q1.add(q2).neg();\n  return { k1: k1, k2: k2 };\n};\n\nShortCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  // XXX Is there any way to tell if the number is odd without converting it\n  // to non-red form?\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nShortCurve.prototype.validate = function validate(point) {\n  if (point.inf)\n    return true;\n\n  var x = point.x;\n  var y = point.y;\n\n  var ax = this.a.redMul(x);\n  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);\n  return y.redSqr().redISub(rhs).cmpn(0) === 0;\n};\n\nShortCurve.prototype._endoWnafMulAdd =\n    function _endoWnafMulAdd(points, coeffs, jacobianResult) {\n  var npoints = this._endoWnafT1;\n  var ncoeffs = this._endoWnafT2;\n  for (var i = 0; i < points.length; i++) {\n    var split = this._endoSplit(coeffs[i]);\n    var p = points[i];\n    var beta = p._getBeta();\n\n    if (split.k1.negative) {\n      split.k1.ineg();\n      p = p.neg(true);\n    }\n    if (split.k2.negative) {\n      split.k2.ineg();\n      beta = beta.neg(true);\n    }\n\n    npoints[i * 2] = p;\n    npoints[i * 2 + 1] = beta;\n    ncoeffs[i * 2] = split.k1;\n    ncoeffs[i * 2 + 1] = split.k2;\n  }\n  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);\n\n  // Clean-up references to points and coefficients\n  for (var j = 0; j < i * 2; j++) {\n    npoints[j] = null;\n    ncoeffs[j] = null;\n  }\n  return res;\n};\n\nfunction Point(curve, x, y, isRed) {\n  Base.BasePoint.call(this, curve, 'affine');\n  if (x === null && y === null) {\n    this.x = null;\n    this.y = null;\n    this.inf = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    // Force redgomery representation when loading from JSON\n    if (isRed) {\n      this.x.forceRed(this.curve.red);\n      this.y.forceRed(this.curve.red);\n    }\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    this.inf = false;\n  }\n}\ninherits(Point, Base.BasePoint);\n\nShortCurve.prototype.point = function point(x, y, isRed) {\n  return new Point(this, x, y, isRed);\n};\n\nShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {\n  return Point.fromJSON(this, obj, red);\n};\n\nPoint.prototype._getBeta = function _getBeta() {\n  if (!this.curve.endo)\n    return;\n\n  var pre = this.precomputed;\n  if (pre && pre.beta)\n    return pre.beta;\n\n  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);\n  if (pre) {\n    var curve = this.curve;\n    var endoMul = function(p) {\n      return curve.point(p.x.redMul(curve.endo.beta), p.y);\n    };\n    pre.beta = beta;\n    beta.precomputed = {\n      beta: null,\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(endoMul)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(endoMul)\n      }\n    };\n  }\n  return beta;\n};\n\nPoint.prototype.toJSON = function toJSON() {\n  if (!this.precomputed)\n    return [ this.x, this.y ];\n\n  return [ this.x, this.y, this.precomputed && {\n    doubles: this.precomputed.doubles && {\n      step: this.precomputed.doubles.step,\n      points: this.precomputed.doubles.points.slice(1)\n    },\n    naf: this.precomputed.naf && {\n      wnd: this.precomputed.naf.wnd,\n      points: this.precomputed.naf.points.slice(1)\n    }\n  } ];\n};\n\nPoint.fromJSON = function fromJSON(curve, obj, red) {\n  if (typeof obj === 'string')\n    obj = JSON.parse(obj);\n  var res = curve.point(obj[0], obj[1], red);\n  if (!obj[2])\n    return res;\n\n  function obj2point(obj) {\n    return curve.point(obj[0], obj[1], red);\n  }\n\n  var pre = obj[2];\n  res.precomputed = {\n    beta: null,\n    doubles: pre.doubles && {\n      step: pre.doubles.step,\n      points: [ res ].concat(pre.doubles.points.map(obj2point))\n    },\n    naf: pre.naf && {\n      wnd: pre.naf.wnd,\n      points: [ res ].concat(pre.naf.points.map(obj2point))\n    }\n  };\n  return res;\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  return this.inf;\n};\n\nPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.inf)\n    return p;\n\n  // P + O = P\n  if (p.inf)\n    return this;\n\n  // P + P = 2P\n  if (this.eq(p))\n    return this.dbl();\n\n  // P + (-P) = O\n  if (this.neg().eq(p))\n    return this.curve.point(null, null);\n\n  // P + Q = O\n  if (this.x.cmp(p.x) === 0)\n    return this.curve.point(null, null);\n\n  var c = this.y.redSub(p.y);\n  if (c.cmpn(0) !== 0)\n    c = c.redMul(this.x.redSub(p.x).redInvm());\n  var nx = c.redSqr().redISub(this.x).redISub(p.x);\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.inf)\n    return this;\n\n  // 2P = O\n  var ys1 = this.y.redAdd(this.y);\n  if (ys1.cmpn(0) === 0)\n    return this.curve.point(null, null);\n\n  var a = this.curve.a;\n\n  var x2 = this.x.redSqr();\n  var dyinv = ys1.redInvm();\n  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);\n\n  var nx = c.redSqr().redISub(this.x.redAdd(this.x));\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.getX = function getX() {\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  return this.y.fromRed();\n};\n\nPoint.prototype.mul = function mul(k) {\n  k = new BN(k, 16);\n\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else if (this.curve.endo)\n    return this.curve._endoWnafMulAdd([ this ], [ k ]);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs, true);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);\n};\n\nPoint.prototype.eq = function eq(p) {\n  return this === p ||\n         this.inf === p.inf &&\n             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);\n};\n\nPoint.prototype.neg = function neg(_precompute) {\n  if (this.inf)\n    return this;\n\n  var res = this.curve.point(this.x, this.y.redNeg());\n  if (_precompute && this.precomputed) {\n    var pre = this.precomputed;\n    var negate = function(p) {\n      return p.neg();\n    };\n    res.precomputed = {\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(negate)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(negate)\n      }\n    };\n  }\n  return res;\n};\n\nPoint.prototype.toJ = function toJ() {\n  if (this.inf)\n    return this.curve.jpoint(null, null, null);\n\n  var res = this.curve.jpoint(this.x, this.y, this.curve.one);\n  return res;\n};\n\nfunction JPoint(curve, x, y, z) {\n  Base.BasePoint.call(this, curve, 'jacobian');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.one;\n    this.y = this.curve.one;\n    this.z = new BN(0);\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = new BN(z, 16);\n  }\n  if (!this.x.red)\n    this.x = this.x.toRed(this.curve.red);\n  if (!this.y.red)\n    this.y = this.y.toRed(this.curve.red);\n  if (!this.z.red)\n    this.z = this.z.toRed(this.curve.red);\n\n  this.zOne = this.z === this.curve.one;\n}\ninherits(JPoint, Base.BasePoint);\n\nShortCurve.prototype.jpoint = function jpoint(x, y, z) {\n  return new JPoint(this, x, y, z);\n};\n\nJPoint.prototype.toP = function toP() {\n  if (this.isInfinity())\n    return this.curve.point(null, null);\n\n  var zinv = this.z.redInvm();\n  var zinv2 = zinv.redSqr();\n  var ax = this.x.redMul(zinv2);\n  var ay = this.y.redMul(zinv2).redMul(zinv);\n\n  return this.curve.point(ax, ay);\n};\n\nJPoint.prototype.neg = function neg() {\n  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);\n};\n\nJPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p;\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 12M + 4S + 7A\n  var pz2 = p.z.redSqr();\n  var z2 = this.z.redSqr();\n  var u1 = this.x.redMul(pz2);\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y.redMul(pz2.redMul(p.z));\n  var s2 = p.y.redMul(z2.redMul(this.z));\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(p.z).redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mixedAdd = function mixedAdd(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p.toJ();\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 8M + 3S + 7A\n  var z2 = this.z.redSqr();\n  var u1 = this.x;\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y;\n  var s2 = p.y.redMul(z2).redMul(this.z);\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.dblp = function dblp(pow) {\n  if (pow === 0)\n    return this;\n  if (this.isInfinity())\n    return this;\n  if (!pow)\n    return this.dbl();\n\n  if (this.curve.zeroA || this.curve.threeA) {\n    var r = this;\n    for (var i = 0; i < pow; i++)\n      r = r.dbl();\n    return r;\n  }\n\n  // 1M + 2S + 1A + N * (4S + 5M + 8A)\n  // N = 1 => 6M + 6S + 9A\n  var a = this.curve.a;\n  var tinv = this.curve.tinv;\n\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  // Reuse results\n  var jyd = jy.redAdd(jy);\n  for (var i = 0; i < pow; i++) {\n    var jx2 = jx.redSqr();\n    var jyd2 = jyd.redSqr();\n    var jyd4 = jyd2.redSqr();\n    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n    var t1 = jx.redMul(jyd2);\n    var nx = c.redSqr().redISub(t1.redAdd(t1));\n    var t2 = t1.redISub(nx);\n    var dny = c.redMul(t2);\n    dny = dny.redIAdd(dny).redISub(jyd4);\n    var nz = jyd.redMul(jz);\n    if (i + 1 < pow)\n      jz4 = jz4.redMul(jyd4);\n\n    jx = nx;\n    jz = nz;\n    jyd = dny;\n  }\n\n  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);\n};\n\nJPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  if (this.curve.zeroA)\n    return this._zeroDbl();\n  else if (this.curve.threeA)\n    return this._threeDbl();\n  else\n    return this._dbl();\n};\n\nJPoint.prototype._zeroDbl = function _zeroDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 14A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a; a = 0\n    var m = xx.redAdd(xx).redIAdd(xx);\n    // T = M ^ 2 - 2*S\n    var t = m.redSqr().redISub(s).redISub(s);\n\n    // 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2*Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-dbl-2009-l\n    // 2M + 5S + 13A\n\n    // A = X1^2\n    var a = this.x.redSqr();\n    // B = Y1^2\n    var b = this.y.redSqr();\n    // C = B^2\n    var c = b.redSqr();\n    // D = 2 * ((X1 + B)^2 - A - C)\n    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);\n    d = d.redIAdd(d);\n    // E = 3 * A\n    var e = a.redAdd(a).redIAdd(a);\n    // F = E^2\n    var f = e.redSqr();\n\n    // 8 * C\n    var c8 = c.redIAdd(c);\n    c8 = c8.redIAdd(c8);\n    c8 = c8.redIAdd(c8);\n\n    // X3 = F - 2 * D\n    nx = f.redISub(d).redISub(d);\n    // Y3 = E * (D - X3) - 8 * C\n    ny = e.redMul(d.redISub(nx)).redISub(c8);\n    // Z3 = 2 * Y1 * Z1\n    nz = this.y.redMul(this.z);\n    nz = nz.redIAdd(nz);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._threeDbl = function _threeDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 15A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a\n    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);\n    // T = M^2 - 2 * S\n    var t = m.redSqr().redISub(s).redISub(s);\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2 * Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b\n    // 3M + 5S\n\n    // delta = Z1^2\n    var delta = this.z.redSqr();\n    // gamma = Y1^2\n    var gamma = this.y.redSqr();\n    // beta = X1 * gamma\n    var beta = this.x.redMul(gamma);\n    // alpha = 3 * (X1 - delta) * (X1 + delta)\n    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));\n    alpha = alpha.redAdd(alpha).redIAdd(alpha);\n    // X3 = alpha^2 - 8 * beta\n    var beta4 = beta.redIAdd(beta);\n    beta4 = beta4.redIAdd(beta4);\n    var beta8 = beta4.redAdd(beta4);\n    nx = alpha.redSqr().redISub(beta8);\n    // Z3 = (Y1 + Z1)^2 - gamma - delta\n    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);\n    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2\n    var ggamma8 = gamma.redSqr();\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._dbl = function _dbl() {\n  var a = this.curve.a;\n\n  // 4M + 6S + 10A\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  var jx2 = jx.redSqr();\n  var jy2 = jy.redSqr();\n\n  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n  var jxd4 = jx.redAdd(jx);\n  jxd4 = jxd4.redIAdd(jxd4);\n  var t1 = jxd4.redMul(jy2);\n  var nx = c.redSqr().redISub(t1.redAdd(t1));\n  var t2 = t1.redISub(nx);\n\n  var jyd8 = jy2.redSqr();\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  var ny = c.redMul(t2).redISub(jyd8);\n  var nz = jy.redAdd(jy).redMul(jz);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.trpl = function trpl() {\n  if (!this.curve.zeroA)\n    return this.dbl().add(this);\n\n  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl\n  // 5M + 10S + ...\n\n  // XX = X1^2\n  var xx = this.x.redSqr();\n  // YY = Y1^2\n  var yy = this.y.redSqr();\n  // ZZ = Z1^2\n  var zz = this.z.redSqr();\n  // YYYY = YY^2\n  var yyyy = yy.redSqr();\n  // M = 3 * XX + a * ZZ2; a = 0\n  var m = xx.redAdd(xx).redIAdd(xx);\n  // MM = M^2\n  var mm = m.redSqr();\n  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM\n  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n  e = e.redIAdd(e);\n  e = e.redAdd(e).redIAdd(e);\n  e = e.redISub(mm);\n  // EE = E^2\n  var ee = e.redSqr();\n  // T = 16*YYYY\n  var t = yyyy.redIAdd(yyyy);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  // U = (M + E)^2 - MM - EE - T\n  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);\n  // X3 = 4 * (X1 * EE - 4 * YY * U)\n  var yyu4 = yy.redMul(u);\n  yyu4 = yyu4.redIAdd(yyu4);\n  yyu4 = yyu4.redIAdd(yyu4);\n  var nx = this.x.redMul(ee).redISub(yyu4);\n  nx = nx.redIAdd(nx);\n  nx = nx.redIAdd(nx);\n  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)\n  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  // Z3 = (Z1 + E)^2 - ZZ - EE\n  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mul = function mul(k, kbase) {\n  k = new BN(k, kbase);\n\n  return this.curve._wnafMul(this, k);\n};\n\nJPoint.prototype.eq = function eq(p) {\n  if (p.type === 'affine')\n    return this.eq(p.toJ());\n\n  if (this === p)\n    return true;\n\n  // x1 * z2^2 == x2 * z1^2\n  var z2 = this.z.redSqr();\n  var pz2 = p.z.redSqr();\n  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)\n    return false;\n\n  // y1 * z2^3 == y2 * z1^3\n  var z3 = z2.redMul(this.z);\n  var pz3 = pz2.redMul(p.z);\n  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;\n};\n\nJPoint.prototype.eqXToP = function eqXToP(x) {\n  var zs = this.z.redSqr();\n  var rx = x.toRed(this.curve.red).redMul(zs);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(zs);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n  return false;\n};\n\nJPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC JPoint Infinity>';\n  return '<EC JPoint x: ' + this.x.toString(16, 2) +\n      ' y: ' + this.y.toString(16, 2) +\n      ' z: ' + this.z.toString(16, 2) + '>';\n};\n\nJPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 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strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction ShortCurve(conf) {\n  Base.call(this, 'short', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.tinv = this.two.redInvm();\n\n  this.zeroA = this.a.fromRed().cmpn(0) === 0;\n  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;\n\n  // If the curve is endomorphic, precalculate beta and lambda\n  this.endo = this._getEndomorphism(conf);\n  this._endoWnafT1 = new Array(4);\n  this._endoWnafT2 = new Array(4);\n}\ninherits(ShortCurve, Base);\nmodule.exports = ShortCurve;\n\nShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {\n  // No efficient endomorphism\n  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)\n    return;\n\n  // Compute beta and lambda, that lambda * P = (beta * Px; Py)\n  var beta;\n  var lambda;\n  if (conf.beta) {\n    beta = new BN(conf.beta, 16).toRed(this.red);\n  } else {\n    var betas = this._getEndoRoots(this.p);\n    // Choose the smallest beta\n    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];\n    beta = beta.toRed(this.red);\n  }\n  if (conf.lambda) {\n    lambda = new BN(conf.lambda, 16);\n  } else {\n    // Choose the lambda that is matching selected beta\n    var lambdas = this._getEndoRoots(this.n);\n    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {\n      lambda = lambdas[0];\n    } else {\n      lambda = lambdas[1];\n      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);\n    }\n  }\n\n  // Get basis vectors, used for balanced length-two representation\n  var basis;\n  if (conf.basis) {\n    basis = conf.basis.map(function(vec) {\n      return {\n        a: new BN(vec.a, 16),\n        b: new BN(vec.b, 16)\n      };\n    });\n  } else {\n    basis = this._getEndoBasis(lambda);\n  }\n\n  return {\n    beta: beta,\n    lambda: lambda,\n    basis: basis\n  };\n};\n\nShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {\n  // Find roots of for x^2 + x + 1 in F\n  // Root = (-1 +- Sqrt(-3)) / 2\n  //\n  var red = num === this.p ? this.red : BN.mont(num);\n  var tinv = new BN(2).toRed(red).redInvm();\n  var ntinv = tinv.redNeg();\n\n  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);\n\n  var l1 = ntinv.redAdd(s).fromRed();\n  var l2 = ntinv.redSub(s).fromRed();\n  return [ l1, l2 ];\n};\n\nShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {\n  // aprxSqrt >= sqrt(this.n)\n  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));\n\n  // 3.74\n  // Run EGCD, until r(L + 1) < aprxSqrt\n  var u = lambda;\n  var v = this.n.clone();\n  var x1 = new BN(1);\n  var y1 = new BN(0);\n  var x2 = new BN(0);\n  var y2 = new BN(1);\n\n  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)\n  var a0;\n  var b0;\n  // First vector\n  var a1;\n  var b1;\n  // Second vector\n  var a2;\n  var b2;\n\n  var prevR;\n  var i = 0;\n  var r;\n  var x;\n  while (u.cmpn(0) !== 0) {\n    var q = v.div(u);\n    r = v.sub(q.mul(u));\n    x = x2.sub(q.mul(x1));\n    var y = y2.sub(q.mul(y1));\n\n    if (!a1 && r.cmp(aprxSqrt) < 0) {\n      a0 = prevR.neg();\n      b0 = x1;\n      a1 = r.neg();\n      b1 = x;\n    } else if (a1 && ++i === 2) {\n      break;\n    }\n    prevR = r;\n\n    v = u;\n    u = r;\n    x2 = x1;\n    x1 = x;\n    y2 = y1;\n    y1 = y;\n  }\n  a2 = r.neg();\n  b2 = x;\n\n  var len1 = a1.sqr().add(b1.sqr());\n  var len2 = a2.sqr().add(b2.sqr());\n  if (len2.cmp(len1) >= 0) {\n    a2 = a0;\n    b2 = b0;\n  }\n\n  // Normalize signs\n  if (a1.negative) {\n    a1 = a1.neg();\n    b1 = b1.neg();\n  }\n  if (a2.negative) {\n    a2 = a2.neg();\n    b2 = b2.neg();\n  }\n\n  return [\n    { a: a1, b: b1 },\n    { a: a2, b: b2 }\n  ];\n};\n\nShortCurve.prototype._endoSplit = function _endoSplit(k) {\n  var basis = this.endo.basis;\n  var v1 = basis[0];\n  var v2 = basis[1];\n\n  var c1 = v2.b.mul(k).divRound(this.n);\n  var c2 = v1.b.neg().mul(k).divRound(this.n);\n\n  var p1 = c1.mul(v1.a);\n  var p2 = c2.mul(v2.a);\n  var q1 = c1.mul(v1.b);\n  var q2 = c2.mul(v2.b);\n\n  // Calculate answer\n  var k1 = k.sub(p1).sub(p2);\n  var k2 = q1.add(q2).neg();\n  return { k1: k1, k2: k2 };\n};\n\nShortCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  // XXX Is there any way to tell if the number is odd without converting it\n  // to non-red form?\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nShortCurve.prototype.validate = function validate(point) {\n  if (point.inf)\n    return true;\n\n  var x = point.x;\n  var y = point.y;\n\n  var ax = this.a.redMul(x);\n  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);\n  return y.redSqr().redISub(rhs).cmpn(0) === 0;\n};\n\nShortCurve.prototype._endoWnafMulAdd =\n    function _endoWnafMulAdd(points, coeffs, jacobianResult) {\n  var npoints = this._endoWnafT1;\n  var ncoeffs = this._endoWnafT2;\n  for (var i = 0; i < points.length; i++) {\n    var split = this._endoSplit(coeffs[i]);\n    var p = points[i];\n    var beta = p._getBeta();\n\n    if (split.k1.negative) {\n      split.k1.ineg();\n      p = p.neg(true);\n    }\n    if (split.k2.negative) {\n      split.k2.ineg();\n      beta = beta.neg(true);\n    }\n\n    npoints[i * 2] = p;\n    npoints[i * 2 + 1] = beta;\n    ncoeffs[i * 2] = split.k1;\n    ncoeffs[i * 2 + 1] = split.k2;\n  }\n  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);\n\n  // Clean-up references to points and coefficients\n  for (var j = 0; j < i * 2; j++) {\n    npoints[j] = null;\n    ncoeffs[j] = null;\n  }\n  return res;\n};\n\nfunction Point(curve, x, y, isRed) {\n  Base.BasePoint.call(this, curve, 'affine');\n  if (x === null && y === null) {\n    this.x = null;\n    this.y = null;\n    this.inf = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    // Force redgomery representation when loading from JSON\n    if (isRed) {\n      this.x.forceRed(this.curve.red);\n      this.y.forceRed(this.curve.red);\n    }\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    this.inf = false;\n  }\n}\ninherits(Point, Base.BasePoint);\n\nShortCurve.prototype.point = function point(x, y, isRed) {\n  return new Point(this, x, y, isRed);\n};\n\nShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {\n  return Point.fromJSON(this, obj, red);\n};\n\nPoint.prototype._getBeta = function _getBeta() {\n  if (!this.curve.endo)\n    return;\n\n  var pre = this.precomputed;\n  if (pre && pre.beta)\n    return pre.beta;\n\n  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);\n  if (pre) {\n    var curve = this.curve;\n    var endoMul = function(p) {\n      return curve.point(p.x.redMul(curve.endo.beta), p.y);\n    };\n    pre.beta = beta;\n    beta.precomputed = {\n      beta: null,\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(endoMul)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(endoMul)\n      }\n    };\n  }\n  return beta;\n};\n\nPoint.prototype.toJSON = function toJSON() {\n  if (!this.precomputed)\n    return [ this.x, this.y ];\n\n  return [ this.x, this.y, this.precomputed && {\n    doubles: this.precomputed.doubles && {\n      step: this.precomputed.doubles.step,\n      points: this.precomputed.doubles.points.slice(1)\n    },\n    naf: this.precomputed.naf && {\n      wnd: this.precomputed.naf.wnd,\n      points: this.precomputed.naf.points.slice(1)\n    }\n  } ];\n};\n\nPoint.fromJSON = function fromJSON(curve, obj, red) {\n  if (typeof obj === 'string')\n    obj = JSON.parse(obj);\n  var res = curve.point(obj[0], obj[1], red);\n  if (!obj[2])\n    return res;\n\n  function obj2point(obj) {\n    return curve.point(obj[0], obj[1], red);\n  }\n\n  var pre = obj[2];\n  res.precomputed = {\n    beta: null,\n    doubles: pre.doubles && {\n      step: pre.doubles.step,\n      points: [ res ].concat(pre.doubles.points.map(obj2point))\n    },\n    naf: pre.naf && {\n      wnd: pre.naf.wnd,\n      points: [ res ].concat(pre.naf.points.map(obj2point))\n    }\n  };\n  return res;\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  return this.inf;\n};\n\nPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.inf)\n    return p;\n\n  // P + O = P\n  if (p.inf)\n    return this;\n\n  // P + P = 2P\n  if (this.eq(p))\n    return this.dbl();\n\n  // P + (-P) = O\n  if (this.neg().eq(p))\n    return this.curve.point(null, null);\n\n  // P + Q = O\n  if (this.x.cmp(p.x) === 0)\n    return this.curve.point(null, null);\n\n  var c = this.y.redSub(p.y);\n  if (c.cmpn(0) !== 0)\n    c = c.redMul(this.x.redSub(p.x).redInvm());\n  var nx = c.redSqr().redISub(this.x).redISub(p.x);\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.inf)\n    return this;\n\n  // 2P = O\n  var ys1 = this.y.redAdd(this.y);\n  if (ys1.cmpn(0) === 0)\n    return this.curve.point(null, null);\n\n  var a = this.curve.a;\n\n  var x2 = this.x.redSqr();\n  var dyinv = ys1.redInvm();\n  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);\n\n  var nx = c.redSqr().redISub(this.x.redAdd(this.x));\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.getX = function getX() {\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  return this.y.fromRed();\n};\n\nPoint.prototype.mul = function mul(k) {\n  k = new BN(k, 16);\n\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else if (this.curve.endo)\n    return this.curve._endoWnafMulAdd([ this ], [ k ]);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs, true);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);\n};\n\nPoint.prototype.eq = function eq(p) {\n  return this === p ||\n         this.inf === p.inf &&\n             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);\n};\n\nPoint.prototype.neg = function neg(_precompute) {\n  if (this.inf)\n    return this;\n\n  var res = this.curve.point(this.x, this.y.redNeg());\n  if (_precompute && this.precomputed) {\n    var pre = this.precomputed;\n    var negate = function(p) {\n      return p.neg();\n    };\n    res.precomputed = {\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(negate)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(negate)\n      }\n    };\n  }\n  return res;\n};\n\nPoint.prototype.toJ = function toJ() {\n  if (this.inf)\n    return this.curve.jpoint(null, null, null);\n\n  var res = this.curve.jpoint(this.x, this.y, this.curve.one);\n  return res;\n};\n\nfunction JPoint(curve, x, y, z) {\n  Base.BasePoint.call(this, curve, 'jacobian');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.one;\n    this.y = this.curve.one;\n    this.z = new BN(0);\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = new BN(z, 16);\n  }\n  if (!this.x.red)\n    this.x = this.x.toRed(this.curve.red);\n  if (!this.y.red)\n    this.y = this.y.toRed(this.curve.red);\n  if (!this.z.red)\n    this.z = this.z.toRed(this.curve.red);\n\n  this.zOne = this.z === this.curve.one;\n}\ninherits(JPoint, Base.BasePoint);\n\nShortCurve.prototype.jpoint = function jpoint(x, y, z) {\n  return new JPoint(this, x, y, z);\n};\n\nJPoint.prototype.toP = function toP() {\n  if (this.isInfinity())\n    return this.curve.point(null, null);\n\n  var zinv = this.z.redInvm();\n  var zinv2 = zinv.redSqr();\n  var ax = this.x.redMul(zinv2);\n  var ay = this.y.redMul(zinv2).redMul(zinv);\n\n  return this.curve.point(ax, ay);\n};\n\nJPoint.prototype.neg = function neg() {\n  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);\n};\n\nJPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p;\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 12M + 4S + 7A\n  var pz2 = p.z.redSqr();\n  var z2 = this.z.redSqr();\n  var u1 = this.x.redMul(pz2);\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y.redMul(pz2.redMul(p.z));\n  var s2 = p.y.redMul(z2.redMul(this.z));\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(p.z).redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mixedAdd = function mixedAdd(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p.toJ();\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 8M + 3S + 7A\n  var z2 = this.z.redSqr();\n  var u1 = this.x;\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y;\n  var s2 = p.y.redMul(z2).redMul(this.z);\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.dblp = function dblp(pow) {\n  if (pow === 0)\n    return this;\n  if (this.isInfinity())\n    return this;\n  if (!pow)\n    return this.dbl();\n\n  if (this.curve.zeroA || this.curve.threeA) {\n    var r = this;\n    for (var i = 0; i < pow; i++)\n      r = r.dbl();\n    return r;\n  }\n\n  // 1M + 2S + 1A + N * (4S + 5M + 8A)\n  // N = 1 => 6M + 6S + 9A\n  var a = this.curve.a;\n  var tinv = this.curve.tinv;\n\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  // Reuse results\n  var jyd = jy.redAdd(jy);\n  for (var i = 0; i < pow; i++) {\n    var jx2 = jx.redSqr();\n    var jyd2 = jyd.redSqr();\n    var jyd4 = jyd2.redSqr();\n    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n    var t1 = jx.redMul(jyd2);\n    var nx = c.redSqr().redISub(t1.redAdd(t1));\n    var t2 = t1.redISub(nx);\n    var dny = c.redMul(t2);\n    dny = dny.redIAdd(dny).redISub(jyd4);\n    var nz = jyd.redMul(jz);\n    if (i + 1 < pow)\n      jz4 = jz4.redMul(jyd4);\n\n    jx = nx;\n    jz = nz;\n    jyd = dny;\n  }\n\n  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);\n};\n\nJPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  if (this.curve.zeroA)\n    return this._zeroDbl();\n  else if (this.curve.threeA)\n    return this._threeDbl();\n  else\n    return this._dbl();\n};\n\nJPoint.prototype._zeroDbl = function _zeroDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 14A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a; a = 0\n    var m = xx.redAdd(xx).redIAdd(xx);\n    // T = M ^ 2 - 2*S\n    var t = m.redSqr().redISub(s).redISub(s);\n\n    // 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2*Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-dbl-2009-l\n    // 2M + 5S + 13A\n\n    // A = X1^2\n    var a = this.x.redSqr();\n    // B = Y1^2\n    var b = this.y.redSqr();\n    // C = B^2\n    var c = b.redSqr();\n    // D = 2 * ((X1 + B)^2 - A - C)\n    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);\n    d = d.redIAdd(d);\n    // E = 3 * A\n    var e = a.redAdd(a).redIAdd(a);\n    // F = E^2\n    var f = e.redSqr();\n\n    // 8 * C\n    var c8 = c.redIAdd(c);\n    c8 = c8.redIAdd(c8);\n    c8 = c8.redIAdd(c8);\n\n    // X3 = F - 2 * D\n    nx = f.redISub(d).redISub(d);\n    // Y3 = E * (D - X3) - 8 * C\n    ny = e.redMul(d.redISub(nx)).redISub(c8);\n    // Z3 = 2 * Y1 * Z1\n    nz = this.y.redMul(this.z);\n    nz = nz.redIAdd(nz);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._threeDbl = function _threeDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 15A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a\n    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);\n    // T = M^2 - 2 * S\n    var t = m.redSqr().redISub(s).redISub(s);\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2 * Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b\n    // 3M + 5S\n\n    // delta = Z1^2\n    var delta = this.z.redSqr();\n    // gamma = Y1^2\n    var gamma = this.y.redSqr();\n    // beta = X1 * gamma\n    var beta = this.x.redMul(gamma);\n    // alpha = 3 * (X1 - delta) * (X1 + delta)\n    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));\n    alpha = alpha.redAdd(alpha).redIAdd(alpha);\n    // X3 = alpha^2 - 8 * beta\n    var beta4 = beta.redIAdd(beta);\n    beta4 = beta4.redIAdd(beta4);\n    var beta8 = beta4.redAdd(beta4);\n    nx = alpha.redSqr().redISub(beta8);\n    // Z3 = (Y1 + Z1)^2 - gamma - delta\n    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);\n    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2\n    var ggamma8 = gamma.redSqr();\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._dbl = function _dbl() {\n  var a = this.curve.a;\n\n  // 4M + 6S + 10A\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  var jx2 = jx.redSqr();\n  var jy2 = jy.redSqr();\n\n  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n  var jxd4 = jx.redAdd(jx);\n  jxd4 = jxd4.redIAdd(jxd4);\n  var t1 = jxd4.redMul(jy2);\n  var nx = c.redSqr().redISub(t1.redAdd(t1));\n  var t2 = t1.redISub(nx);\n\n  var jyd8 = jy2.redSqr();\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  var ny = c.redMul(t2).redISub(jyd8);\n  var nz = jy.redAdd(jy).redMul(jz);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.trpl = function trpl() {\n  if (!this.curve.zeroA)\n    return this.dbl().add(this);\n\n  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl\n  // 5M + 10S + ...\n\n  // XX = X1^2\n  var xx = this.x.redSqr();\n  // YY = Y1^2\n  var yy = this.y.redSqr();\n  // ZZ = Z1^2\n  var zz = this.z.redSqr();\n  // YYYY = YY^2\n  var yyyy = yy.redSqr();\n  // M = 3 * XX + a * ZZ2; a = 0\n  var m = xx.redAdd(xx).redIAdd(xx);\n  // MM = M^2\n  var mm = m.redSqr();\n  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM\n  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n  e = e.redIAdd(e);\n  e = e.redAdd(e).redIAdd(e);\n  e = e.redISub(mm);\n  // EE = E^2\n  var ee = e.redSqr();\n  // T = 16*YYYY\n  var t = yyyy.redIAdd(yyyy);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  // U = (M + E)^2 - MM - EE - T\n  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);\n  // X3 = 4 * (X1 * EE - 4 * YY * U)\n  var yyu4 = yy.redMul(u);\n  yyu4 = yyu4.redIAdd(yyu4);\n  yyu4 = yyu4.redIAdd(yyu4);\n  var nx = this.x.redMul(ee).redISub(yyu4);\n  nx = nx.redIAdd(nx);\n  nx = nx.redIAdd(nx);\n  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)\n  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  // Z3 = (Z1 + E)^2 - ZZ - EE\n  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mul = function mul(k, kbase) {\n  k = new BN(k, kbase);\n\n  return this.curve._wnafMul(this, k);\n};\n\nJPoint.prototype.eq = function eq(p) {\n  if (p.type === 'affine')\n    return this.eq(p.toJ());\n\n  if (this === p)\n    return true;\n\n  // x1 * z2^2 == x2 * z1^2\n  var z2 = this.z.redSqr();\n  var pz2 = p.z.redSqr();\n  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)\n    return false;\n\n  // y1 * z2^3 == y2 * z1^3\n  var z3 = z2.redMul(this.z);\n  var pz3 = pz2.redMul(p.z);\n  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;\n};\n\nJPoint.prototype.eqXToP = function eqXToP(x) {\n  var zs = this.z.redSqr();\n  var rx = x.toRed(this.curve.red).redMul(zs);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(zs);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n  return false;\n};\n\nJPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC JPoint Infinity>';\n  return '<EC JPoint x: ' + this.x.toString(16, 2) +\n      ' y: ' + this.y.toString(16, 2) +\n      ' z: ' + this.z.toString(16, 2) + '>';\n};\n\nJPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n"},"lineCount":939}},"hash":"14d59e5729c09cc3bd2418e91b0357f1","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/be0cf69d9e9ba2ea5d60f7d564b715fd.json b/tictac/.cache/be0cf69d9e9ba2ea5d60f7d564b715fd.json
new file mode 100644
index 00000000..4ad60d40
--- /dev/null
+++ b/tictac/.cache/be0cf69d9e9ba2ea5d60f7d564b715fd.json
@@ -0,0 +1 @@
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'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n    return ecVerify(sig, hash, pub)\n  } else if (pub.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong public key type')\n    return dsaVerify(sig, hash, pub)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = pub.modulus.byteLength()\n  var pad = [ 1 ]\n  var padNum = 0\n  while (hash.length + pad.length + 2 < len) {\n    pad.push(0xff)\n    padNum++\n  }\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) {\n    pad.push(hash[i])\n  }\n  pad = new Buffer(pad)\n  var red = BN.mont(pub.modulus)\n  sig = new BN(sig).toRed(red)\n\n  sig = sig.redPow(new BN(pub.publicExponent))\n  sig = new Buffer(sig.fromRed().toArray())\n  var out = padNum < 8 ? 1 : 0\n  len = Math.min(sig.length, pad.length)\n  if (sig.length !== pad.length) out = 1\n\n  i = -1\n  while (++i < len) out |= sig[i] ^ pad[i]\n  return out === 0\n}\n\nfunction ecVerify (sig, hash, pub) {\n  var curveId = curves[pub.data.algorithm.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var pubkey = pub.data.subjectPrivateKey.data\n\n  return curve.verify(hash, sig, pubkey)\n}\n\nfunction dsaVerify (sig, hash, pub) {\n  var p = pub.data.p\n  var q = pub.data.q\n  var g = pub.data.g\n  var y = pub.data.pub_key\n  var unpacked = parseKeys.signature.decode(sig, 'der')\n  var s = unpacked.s\n  var r = unpacked.r\n  checkValue(s, q)\n  checkValue(r, q)\n  var montp = BN.mont(p)\n  var w = s.invm(q)\n  var v = g.toRed(montp)\n    .redPow(new BN(hash).mul(w).mod(q))\n    .fromRed()\n    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())\n    .mod(p)\n    .mod(q)\n  return v.cmp(r) === 0\n}\n\nfunction checkValue (b, q) {\n  if (b.cmpn(0) <= 0) throw new Error('invalid sig')\n  if (b.cmp(q) >= q) throw new 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much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar BN = require('bn.js')\nvar EC = require('elliptic').ec\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction verify (sig, hash, key, signType, tag) {\n  var pub = parseKeys(key)\n  if (pub.type === 'ec') {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n    return ecVerify(sig, hash, pub)\n  } else if (pub.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong public key type')\n    return dsaVerify(sig, hash, pub)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = pub.modulus.byteLength()\n  var pad = [ 1 ]\n  var padNum = 0\n  while (hash.length + pad.length + 2 < len) {\n    pad.push(0xff)\n    padNum++\n  }\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) {\n    pad.push(hash[i])\n  }\n  pad = new Buffer(pad)\n  var red = BN.mont(pub.modulus)\n  sig = new BN(sig).toRed(red)\n\n  sig = sig.redPow(new BN(pub.publicExponent))\n  sig = new Buffer(sig.fromRed().toArray())\n  var out = padNum < 8 ? 1 : 0\n  len = Math.min(sig.length, pad.length)\n  if (sig.length !== pad.length) out = 1\n\n  i = -1\n  while (++i < len) out |= sig[i] ^ pad[i]\n  return out === 0\n}\n\nfunction ecVerify (sig, hash, pub) {\n  var curveId = curves[pub.data.algorithm.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var pubkey = pub.data.subjectPrivateKey.data\n\n  return curve.verify(hash, sig, pubkey)\n}\n\nfunction dsaVerify (sig, hash, pub) {\n  var p = pub.data.p\n  var q = pub.data.q\n  var g = pub.data.g\n  var y = pub.data.pub_key\n  var unpacked = parseKeys.signature.decode(sig, 'der')\n  var s = unpacked.s\n  var r = unpacked.r\n  checkValue(s, q)\n  checkValue(r, q)\n  var montp = BN.mont(p)\n  var w = s.invm(q)\n  var v = g.toRed(montp)\n    .redPow(new BN(hash).mul(w).mod(q))\n    .fromRed()\n    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())\n    .mod(p)\n    .mod(q)\n  return v.cmp(r) === 0\n}\n\nfunction checkValue (b, q) {\n  if (b.cmpn(0) <= 0) throw new Error('invalid sig')\n  if (b.cmp(q) >= q) throw new Error('invalid sig')\n}\n\nmodule.exports = verify\n"},"lineCount":85}},"hash":"5ad53bd8910a1b2e0f992972cbbf8787","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/c06cec4ada8c8c1e77b0710d13b23034.json b/tictac/.cache/c06cec4ada8c8c1e77b0710d13b23034.json
new file mode 100644
index 00000000..8aae093d
--- /dev/null
+++ b/tictac/.cache/c06cec4ada8c8c1e77b0710d13b23034.json
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diff --git a/tictac/.cache/c073ba4a44a1492e3135018d9cea3a75.json b/tictac/.cache/c073ba4a44a1492e3135018d9cea3a75.json
new file mode 100644
index 00000000..261a0aae
--- /dev/null
+++ b/tictac/.cache/c073ba4a44a1492e3135018d9cea3a75.json
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aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createDecipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createCipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction createDecipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction getCiphers () {\n  return Object.keys(desModes).concat(aes.getCiphers())\n}\n\nexports.createCipher = exports.Cipher = createCipher\nexports.createCipheriv = exports.Cipheriv = createCipheriv\nexports.createDecipher = exports.Decipher = createDecipher\nexports.createDecipheriv = exports.Decipheriv = createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","map":{"mappings":[{"source":"node_modules/browserify-cipher/browser.js","original":{"line":1,"column":0},"generated":{"line":1,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":2,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":3,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":4,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":5,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":6,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":7,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":8,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":9,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":10,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":11,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":12,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":13,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":14,"column":0},"generated":{"line":14,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":15,"column":0},"generated":{"line":15,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":16,"column":0},"generated":{"line":16,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":17,"column":0},"generated":{"line":17,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":18,"column":0},"generated":{"line":18,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":19,"column":0},"generated":{"line":19,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":20,"column":0},"generated":{"line":20,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":21,"column":0},"generated":{"line":21,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":22,"column":0},"generated":{"line":22,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":23,"column":0},"generated":{"line":23,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":24,"column":0},"generated":{"line":24,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":25,"column":0},"generated":{"line":25,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":26,"column":0},"generated":{"line":26,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":27,"column":0},"generated":{"line":27,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":28,"column":0},"generated":{"line":28,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":29,"column":0},"generated":{"line":29,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":30,"column":0},"generated":{"line":30,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":31,"column":0},"generated":{"line":31,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":32,"column":0},"generated":{"line":32,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":33,"column":0},"generated":{"line":33,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":34,"column":0},"generated":{"line":34,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":35,"column":0},"generated":{"line":35,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":36,"column":0},"generated":{"line":36,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":37,"column":0},"generated":{"line":37,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":38,"column":0},"generated":{"line":38,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":39,"column":0},"generated":{"line":39,"column":0}},{"source":"node_modules/browserify-cipher/browser.js","original":{"line":40,"column":0},"generated":{"line":40,"column":0}},{"source":"node_modules/b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DES = require('browserify-des')\nvar aes = require('browserify-aes/browser')\nvar aesModes = require('browserify-aes/modes')\nvar desModes = require('browserify-des/modes')\nvar ebtk = require('evp_bytestokey')\n\nfunction createCipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createDecipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createCipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction createDecipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction getCiphers () {\n  return Object.keys(desModes).concat(aes.getCiphers())\n}\n\nexports.createCipher = exports.Cipher = createCipher\nexports.createCipheriv = exports.Cipheriv = createCipheriv\nexports.createDecipher = exports.Decipher = createDecipher\nexports.createDecipheriv = exports.Decipheriv = createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n"},"lineCount":68}},"hash":"68e02b53fb88a9b0751be88f8d4c1273","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/c1379d7355de33a395f03b7f876a2bb9.json b/tictac/.cache/c1379d7355de33a395f03b7f876a2bb9.json
new file mode 100644
index 00000000..5ea4c26e
--- /dev/null
+++ b/tictac/.cache/c1379d7355de33a395f03b7f876a2bb9.json
@@ -0,0 +1 @@
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this._hh = 0x47b5481d\n\n  this._al = 0xc1059ed8\n  this._bl = 0x367cd507\n  this._cl = 0x3070dd17\n  this._dl = 0xf70e5939\n  this._el = 0xffc00b31\n  this._fl = 0x68581511\n  this._gl = 0x64f98fa7\n  this._hl = 0xbefa4fa4\n\n  return this\n}\n\nSha384.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(48)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n\n  return H\n}\n\nmodule.exports = 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inherits = require('inherits')\nvar SHA512 = require('./sha512')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(160)\n\nfunction Sha384 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha384, SHA512)\n\nSha384.prototype.init = function () {\n  this._ah = 0xcbbb9d5d\n  this._bh = 0x629a292a\n  this._ch = 0x9159015a\n  this._dh = 0x152fecd8\n  this._eh = 0x67332667\n  this._fh = 0x8eb44a87\n  this._gh = 0xdb0c2e0d\n  this._hh = 0x47b5481d\n\n  this._al = 0xc1059ed8\n  this._bl = 0x367cd507\n  this._cl = 0x3070dd17\n  this._dl = 0xf70e5939\n  this._el = 0xffc00b31\n  this._fl = 0x68581511\n  this._gl = 0x64f98fa7\n  this._hl = 0xbefa4fa4\n\n  return this\n}\n\nSha384.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(48)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n\n  return H\n}\n\nmodule.exports = Sha384\n"},"lineCount":59}},"hash":"f5e0f7b54fdfa6995726e4195705d42b","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/c15e0c1aa449fbbaa34aabfb2a59f957.json b/tictac/.cache/c15e0c1aa449fbbaa34aabfb2a59f957.json
new file mode 100644
index 00000000..268be872
--- /dev/null
+++ b/tictac/.cache/c15e0c1aa449fbbaa34aabfb2a59f957.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/@tensorflow/tfjs-converter/package.json","includedInParent":true,"mtime":1529587045000},{"name":"@tensorflow/tfjs-core","loc":{"line":44,"column":27}},{"name":"../operations/executors/utils","loc":{"line":45,"column":47}},{"name":"../operations/operation_executor","loc":{"line":46,"column":26}},{"name":"./execution_context","loc":{"line":47,"column":33}}],"generated":{"js":"\"use strict\";\n\nObject.defineProperty(exports, \"__esModule\", {\n    value: true\n});\nexports.GraphExecutor = undefined;\n\nvar _tfjsCore = require(\"@tensorflow/tfjs-core\");\n\nvar _utils = require(\"../operations/executors/utils\");\n\nvar _operation_executor = require(\"../operations/operation_executor\");\n\nvar _execution_context = require(\"./execution_context\");\n\nvar __assign = undefined && undefined.__assign || Object.assign || function (t) {\n    for (var s, i = 1, n = arguments.length; i < n; i++) {\n        s = arguments[i];\n        for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\n    }\n    return t;\n};\nvar __awaiter = undefined && undefined.__awaiter || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) {\n            try {\n                step(generator.next(value));\n            } catch (e) {\n                reject(e);\n            }\n        }\n        function rejected(value) {\n            try {\n                step(generator[\"throw\"](value));\n            } catch (e) {\n                reject(e);\n            }\n        }\n        function step(result) {\n            result.done ? resolve(result.value) : new P(function (resolve) {\n                resolve(result.value);\n            }).then(fulfilled, rejected);\n        }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = undefined && undefined.__generator || function (thisArg, body) {\n    var _ = { label: 0, sent: function () {\n            if (t[0] & 1) throw t[1];return t[1];\n        }, trys: [], ops: [] },\n        f,\n        y,\n        t,\n        g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function () {\n        return this;\n    }), g;\n    function verb(n) {\n        return function (v) {\n            return step([n, v]);\n        };\n    }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = y[op[0] & 2 ? \"return\" : op[0] ? \"throw\" : \"next\"]) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [0, t.value];\n            switch (op[0]) {\n                case 0:case 1:\n                    t = op;break;\n                case 4:\n                    _.label++;return { value: op[1], done: false };\n                case 5:\n                    _.label++;y = op[1];op = [0];continue;\n                case 7:\n                    op = _.ops.pop();_.trys.pop();continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) {\n                        _ = 0;continue;\n                    }\n                    if (op[0] === 3 && (!t || op[1] > t[0] && op[1] < t[3])) {\n                        _.label = op[1];break;\n                    }\n                    if (op[0] === 6 && _.label < t[1]) {\n                        _.label = t[1];t = op;break;\n                    }\n                    if (t && _.label < t[2]) {\n                        _.label = t[2];_.ops.push(op);break;\n                    }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop();continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) {\n            op = [6, e];y = 0;\n        } finally {\n            f = t = 0;\n        }\n        if (op[0] & 5) throw op[1];return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\n\nvar GraphExecutor = function () {\n    function GraphExecutor(graph) {\n        this.graph = graph;\n        this.compiledOrder = [];\n        this._weightMap = {};\n        this.placeholders = graph.placeholders;\n        this._outputs = graph.outputs;\n        this.compile();\n    }\n    Object.defineProperty(GraphExecutor.prototype, \"weightMap\", {\n        get: function () {\n            return this._weightMap;\n        },\n        set: function (weightMap) {\n            var weightIds = Object.keys(weightMap).map(function (key) {\n                return weightMap[key].map(function (tensor) {\n                    return tensor.id;\n                });\n            });\n            this.weightIds = [].concat.apply([], weightIds);\n            this._weightMap = weightMap;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"inputs\", {\n        get: function () {\n            return this.placeholders.map(function (node) {\n                return {\n                    name: node.name,\n                    shape: node.params['shape'] ? node.params['shape'].value : undefined,\n                    dtype: node.params['dtype'] ? node.params['dtype'].value : undefined\n                };\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"outputs\", {\n        get: function () {\n            return this._outputs.map(function (node) {\n                return {\n                    name: node.name,\n                    shape: node.params['shape'] ? node.params['shape'].value : undefined,\n                    dtype: node.params['dtype'] ? node.params['dtype'].value : undefined\n                };\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"inputNodes\", {\n        get: function () {\n            return this.placeholders.map(function (node) {\n                return node.name;\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"outputNodes\", {\n        get: function () {\n            return this.outputs.map(function (node) {\n                return node.name;\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"isControlFlowModel\", {\n        get: function () {\n            return this.graph.withControlFlow;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    GraphExecutor.prototype.compile = function () {\n        if (this.graph.withControlFlow) {\n            return;\n        }\n        var stack = this.graph.inputs.slice();\n        var visited = {};\n        while (stack.length > 0) {\n            var node = stack.pop();\n            visited[node.name] = true;\n            this.compiledOrder.push(node);\n            node.children.forEach(function (childNode) {\n                if (!visited[childNode.name] && childNode.inputNames.every(function (name) {\n                    var nodeName = (0, _utils.getNodeNameAndIndex)(name)[0];\n                    return visited[nodeName];\n                })) {\n                    stack.push(childNode);\n                }\n            });\n        }\n    };\n    GraphExecutor.prototype.execute = function (inputs, outputs) {\n        var _this = this;\n        this.checkInput(inputs);\n        this.checkInputShapeAndType(inputs);\n        var result = (0, _tfjsCore.tidy)(function () {\n            var context = new _execution_context.ExecutionContext(_this._weightMap);\n            var tensors = _this.compiledOrder.reduce(function (map, node) {\n                map[node.name] = (0, _operation_executor.executeOp)(node, map, context);\n                return map;\n            }, __assign({}, _this.weightMap, inputs));\n            return _this.findOutputs(tensors, context, outputs);\n        });\n        return result;\n    };\n    GraphExecutor.prototype.executeAsync = function (inputs, outputs) {\n        return __awaiter(this, void 0, void 0, function () {\n            var _this = this;\n            var context, tensors, results, outputIds, inputIdArray, inputIds;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        this.checkInput(inputs);\n                        this.checkInputShapeAndType(inputs);\n                        context = new _execution_context.ExecutionContext(this._weightMap);\n                        return [4, this.executeWithControlFlow(inputs, context)];\n                    case 1:\n                        tensors = _a.sent();\n                        results = this.findOutputs(tensors, context, outputs);\n                        outputIds = Object.keys(results).map(function (key) {\n                            return results[key].id;\n                        });\n                        inputIdArray = Object.keys(inputs).map(function (key) {\n                            return inputs[key].map(function (input) {\n                                return input.id;\n                            });\n                        });\n                        inputIds = [].concat.apply([], inputIdArray);\n                        Object.keys(tensors).forEach(function (key) {\n                            var tensorArray = tensors[key];\n                            tensorArray.forEach(function (tensor) {\n                                if (tensor && outputIds.indexOf(tensor.id) === -1 && inputIds.indexOf(tensor.id) === -1 && _this.weightIds.indexOf(tensor.id) === -1) {\n                                    tensor.dispose();\n                                }\n                            });\n                        });\n                        return [2, results];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.executeWithControlFlow = function (inputs, context) {\n        return __awaiter(this, void 0, void 0, function () {\n            var stack, tensorMap, added, item, tensors, nodeName, _a, _b;\n            return __generator(this, function (_c) {\n                switch (_c.label) {\n                    case 0:\n                        stack = this.graph.inputs.map(function (node) {\n                            return { node: node, contexts: context.currentContext };\n                        });\n                        tensorMap = __assign({}, this.weightMap, inputs);\n                        added = {};\n                        _c.label = 1;\n                    case 1:\n                        if (!(stack.length > 0)) return [3, 3];\n                        item = stack.pop();\n                        context.currentContext = item.contexts;\n                        tensors = (0, _operation_executor.executeOp)(item.node, tensorMap, context);\n                        nodeName = (0, _utils.getNodeNameAndIndex)(item.node.name, context)[0];\n                        _a = tensorMap;\n                        _b = nodeName;\n                        return [4, tensors];\n                    case 2:\n                        _a[_b] = _c.sent();\n                        item.node.children.forEach(function (childNode) {\n                            var nodeName = (0, _utils.getNodeNameAndIndex)(childNode.name, context)[0];\n                            if (!added[nodeName]) {\n                                if (childNode.op === 'merge') {\n                                    if (childNode.inputNames.some(function (name) {\n                                        return !!(0, _utils.getTensor)(name, tensorMap, context);\n                                    })) {\n                                        added[nodeName] = true;\n                                        stack.push({ contexts: context.currentContext, node: childNode });\n                                    }\n                                } else if (childNode.inputNames.every(function (name) {\n                                    return !!(0, _utils.getTensor)(name, tensorMap, context);\n                                })) {\n                                    added[nodeName] = true;\n                                    stack.push({ contexts: context.currentContext, node: childNode });\n                                }\n                            }\n                        });\n                        return [3, 1];\n                    case 3:\n                        return [2, tensorMap];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.findOutputs = function (tensorMap, context, outputs) {\n        if (outputs && !(outputs instanceof Array)) {\n            outputs = [outputs];\n        }\n        var requestedOutputs = outputs || this.graph.outputs.map(function (node) {\n            return node.name;\n        });\n        return requestedOutputs.reduce(function (map, name) {\n            map[name] = (0, _utils.getTensor)(name, tensorMap, context);\n            return map;\n        }, {});\n    };\n    GraphExecutor.prototype.dispose = function () {\n        var _this = this;\n        Object.keys(this.weightMap).forEach(function (key) {\n            return _this.weightMap[key].forEach(function (tensor) {\n                return tensor.dispose();\n            });\n        });\n    };\n    GraphExecutor.prototype.checkInputShapeAndType = function (inputs) {\n        this.placeholders.forEach(function (node) {\n            var input = inputs[node.name][0];\n            if (node.params['shape'] && node.params['shape'].value) {\n                var shape_1 = node.params['shape'].value;\n                var match = shape_1.length === input.shape.length && input.shape.every(function (dim, index) {\n                    return shape_1[index] === -1 || shape_1[index] === dim;\n                });\n                _tfjsCore.util.assert(match, \"The shape of dict['\" + node.name + \"'] provided in model.execute(dict) must be [\" + shape_1 + \"], but was [\" + input.shape + \"]\");\n            }\n            if (node.params['dtype'] && node.params['dtype'].value) {\n                _tfjsCore.util.assert(input.dtype === node.params['dtype'].value, \"The dtype of dict['\" + node.name + \"'] provided in model.execute(dict) must be \" + node.params['dtype'].value + \", but was \" + input.dtype);\n            }\n        });\n    };\n    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(childNode) {\n                if (!visited[childNode.name] && childNode.inputNames.every(function (name) {\n                    var nodeName = getNodeNameAndIndex(name)[0];\n                    return visited[nodeName];\n                })) {\n                    stack.push(childNode);\n                }\n            });\n        }\n    };\n    GraphExecutor.prototype.execute = function (inputs, outputs) {\n        var _this = this;\n        this.checkInput(inputs);\n        this.checkInputShapeAndType(inputs);\n        var result = tidy(function () {\n            var context = new ExecutionContext(_this._weightMap);\n            var tensors = _this.compiledOrder.reduce(function (map, node) {\n                map[node.name] = executeOp(node, map, context);\n                return map;\n            }, __assign({}, _this.weightMap, inputs));\n            return _this.findOutputs(tensors, context, outputs);\n        });\n        return result;\n    };\n    GraphExecutor.prototype.executeAsync = function (inputs, outputs) {\n        return __awaiter(this, void 0, void 0, function () {\n            var _this = this;\n            var context, tensors, results, outputIds, inputIdArray, inputIds;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        this.checkInput(inputs);\n                        this.checkInputShapeAndType(inputs);\n                        context = new ExecutionContext(this._weightMap);\n                        return [4, this.executeWithControlFlow(inputs, context)];\n                    case 1:\n                        tensors = _a.sent();\n                        results = this.findOutputs(tensors, context, outputs);\n                        outputIds = Object.keys(results).map(function (key) { return results[key].id; });\n                        inputIdArray = Object.keys(inputs).map(function (key) { return inputs[key].map(function (input) { return input.id; }); });\n                        inputIds = [].concat.apply([], inputIdArray);\n                        Object.keys(tensors).forEach(function (key) {\n                            var tensorArray = tensors[key];\n                            tensorArray.forEach(function (tensor) {\n                                if (tensor && outputIds.indexOf(tensor.id) === -1 &&\n                                    inputIds.indexOf(tensor.id) === -1 &&\n                                    _this.weightIds.indexOf(tensor.id) === -1) {\n                                    tensor.dispose();\n                                }\n                            });\n                        });\n                        return [2, results];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.executeWithControlFlow = function (inputs, context) {\n        return __awaiter(this, void 0, void 0, function () {\n            var stack, tensorMap, added, item, tensors, nodeName, _a, _b;\n            return __generator(this, function (_c) {\n                switch (_c.label) {\n                    case 0:\n                        stack = this.graph.inputs.map(function (node) {\n                            return { node: node, contexts: context.currentContext };\n                        });\n                        tensorMap = __assign({}, this.weightMap, inputs);\n                        added = {};\n                        _c.label = 1;\n                    case 1:\n                        if (!(stack.length > 0)) return [3, 3];\n                        item = stack.pop();\n                        context.currentContext = item.contexts;\n                        tensors = executeOp(item.node, tensorMap, context);\n                        nodeName = getNodeNameAndIndex(item.node.name, context)[0];\n                        _a = tensorMap;\n                        _b = nodeName;\n                        return [4, tensors];\n                    case 2:\n                        _a[_b] = _c.sent();\n                        item.node.children.forEach(function (childNode) {\n                            var nodeName = getNodeNameAndIndex(childNode.name, context)[0];\n                            if (!added[nodeName]) {\n                                if (childNode.op === 'merge') {\n                                    if (childNode.inputNames.some(function (name) {\n                                        return !!getTensor(name, tensorMap, context);\n                                    })) {\n                                        added[nodeName] = true;\n                                        stack.push({ contexts: context.currentContext, node: childNode });\n                                    }\n                                }\n                                else if (childNode.inputNames.every(function (name) {\n                                    return !!getTensor(name, tensorMap, context);\n                                })) {\n                                    added[nodeName] = true;\n                                    stack.push({ contexts: context.currentContext, node: childNode });\n                                }\n                            }\n                        });\n                        return [3, 1];\n                    case 3: return [2, tensorMap];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.findOutputs = function (tensorMap, context, outputs) {\n        if (outputs && !(outputs instanceof Array)) {\n            outputs = [outputs];\n        }\n        var requestedOutputs = (outputs || this.graph.outputs.map(function (node) { return node.name; }));\n        return requestedOutputs.reduce(function (map, name) {\n            map[name] = getTensor(name, tensorMap, context);\n            return map;\n        }, {});\n    };\n    GraphExecutor.prototype.dispose = function () {\n        var _this = this;\n        Object.keys(this.weightMap)\n            .forEach(function (key) { return _this.weightMap[key].forEach(function (tensor) { return tensor.dispose(); }); });\n    };\n    GraphExecutor.prototype.checkInputShapeAndType = function (inputs) {\n        this.placeholders.forEach(function (node) {\n            var input = inputs[node.name][0];\n            if (node.params['shape'] && node.params['shape'].value) {\n                var shape_1 = node.params['shape'].value;\n                var match = shape_1.length === input.shape.length &&\n                    input.shape.every(function (dim, index) { return shape_1[index] === -1 || shape_1[index] === dim; });\n                util.assert(match, \"The shape of dict['\" + node.name + \"'] provided in model.execute(dict) must be [\" + shape_1 + \"], but was [\" + input.shape + \"]\");\n            }\n            if (node.params['dtype'] && node.params['dtype'].value) {\n                util.assert(input.dtype === node.params['dtype'].value, \"The dtype of dict['\" + node.name + \"'] provided in model.execute(dict) must be \" + node.params['dtype'].value + \", but was \" + input.dtype);\n            }\n        });\n    };\n    GraphExecutor.prototype.checkInput = function (inputs) {\n        var _this = this;\n        var inputKeys = Object.keys(inputs);\n        var missing = [];\n        var extra = [];\n        this.inputNodes.forEach(function (name) {\n            if (inputKeys.indexOf(name) === -1)\n                missing.push(name);\n        });\n        inputKeys.forEach(function (name) {\n            if (_this.inputNodes.indexOf(name) === -1)\n                extra.push(name);\n        });\n        if (missing.length > 0) {\n            throw new Error(\"The dict provided in model.execute(dict) has the keys \" +\n                (\"[\" + inputKeys + \"], but is missing the required keys: [\" + missing + \"].\"));\n        }\n        if (extra.length > 0) {\n            throw new Error(\"The dict provided in model.execute(dict) has \" +\n                (\"unused keys: [\" + extra + \"]. Please provide only the following keys: \") +\n                (\"[\" + this.inputNodes + \"].\"));\n        }\n    };\n    return GraphExecutor;\n}());\nexport { GraphExecutor };\n//# sourceMappingURL=graph_executor.js.map"},"lineCount":null}},"hash":"51b6d656ab682931b3312def81b0348d","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/c3abab26e580645df060c5af8400091b.json b/tictac/.cache/c3abab26e580645df060c5af8400091b.json
new file mode 100644
index 00000000..6aa5ce96
--- /dev/null
+++ b/tictac/.cache/c3abab26e580645df060c5af8400091b.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/browserify-aes/package.json","includedInParent":true,"mtime":499162500000},{"name":"buffer-xor","loc":{"line":1,"column":18}},{"name":"buffer"}],"generated":{"js":"var Buffer = require(\"buffer\").Buffer;\nvar xor = require('buffer-xor')\n\nfunction getBlock (self) {\n  self._prev = self._cipher.encryptBlock(self._prev)\n  return self._prev\n}\n\nexports.encrypt = function (self, chunk) {\n  while (self._cache.length < chunk.length) {\n    self._cache = Buffer.concat([self._cache, getBlock(self)])\n  }\n\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","map":{"mappings":[{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":1,"column":0},"generated":{"line":2,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":2,"column":0},"generated":{"line":3,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":3,"column":0},"generated":{"line":4,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":4,"column":0},"generated":{"line":5,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":5,"column":0},"generated":{"line":6,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":6,"column":0},"generated":{"line":7,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":7,"column":0},"generated":{"line":8,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":8,"column":0},"generated":{"line":9,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":9,"column":0},"generated":{"line":10,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":10,"column":0},"generated":{"line":11,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":11,"column":0},"generated":{"line":12,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":12,"column":0},"generated":{"line":13,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":13,"column":0},"generated":{"line":14,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":14,"column":0},"generated":{"line":15,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":15,"column":0},"generated":{"line":16,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":16,"column":0},"generated":{"line":17,"column":0}},{"source":"node_modules/browserify-aes/modes/ofb.js","original":{"line":17,"column":0},"generated":{"line":18,"column":0}}],"sources":{"node_modules/browserify-aes/modes/ofb.js":"var xor = require('buffer-xor')\n\nfunction getBlock (self) {\n  self._prev = self._cipher.encryptBlock(self._prev)\n  return self._prev\n}\n\nexports.encrypt = function (self, chunk) {\n  while (self._cache.length < chunk.length) {\n    self._cache = Buffer.concat([self._cache, getBlock(self)])\n  }\n\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n"},"lineCount":18}},"hash":"614802d2a075e7703d18a60ae2f0d852","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/c410f4fe6de4aaf420f40178e2218aa5.json b/tictac/.cache/c410f4fe6de4aaf420f40178e2218aa5.json
new file mode 100644
index 00000000..04e5e4aa
--- /dev/null
+++ b/tictac/.cache/c410f4fe6de4aaf420f40178e2218aa5.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/protobufjs/package.json","includedInParent":true,"mtime":1519644894000},{"name":"./util/minimal","loc":{"line":4,"column":24}}],"generated":{"js":"\"use strict\";\r\nmodule.exports = Writer;\r\n\r\nvar util      = require(\"./util/minimal\");\r\n\r\nvar BufferWriter; // cyclic\r\n\r\nvar LongBits  = util.LongBits,\r\n    base64    = util.base64,\r\n    utf8      = util.utf8;\r\n\r\n/**\r\n * Constructs a new writer operation instance.\r\n * @classdesc Scheduled writer operation.\r\n * @constructor\r\n * @param {function(*, Uint8Array, number)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {*} val Value to write\r\n * @ignore\r\n */\r\nfunction Op(fn, len, val) {\r\n\r\n    /**\r\n     * Function to call.\r\n     * @type {function(Uint8Array, number, *)}\r\n     */\r\n    this.fn = fn;\r\n\r\n    /**\r\n     * Value byte length.\r\n     * @type {number}\r\n     */\r\n    this.len = len;\r\n\r\n    /**\r\n     * Next operation.\r\n     * @type {Writer.Op|undefined}\r\n     */\r\n    this.next = undefined;\r\n\r\n    /**\r\n     * Value to write.\r\n     * @type {*}\r\n     */\r\n    this.val = val; // type varies\r\n}\r\n\r\n/* istanbul ignore next */\r\nfunction noop() {} // eslint-disable-line no-empty-function\r\n\r\n/**\r\n * Constructs a new writer state instance.\r\n * @classdesc Copied writer state.\r\n * @memberof Writer\r\n * @constructor\r\n * @param {Writer} writer Writer to copy state from\r\n * @ignore\r\n */\r\nfunction State(writer) {\r\n\r\n    /**\r\n     * Current head.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.head = writer.head;\r\n\r\n    /**\r\n     * Current tail.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.tail = writer.tail;\r\n\r\n    /**\r\n     * Current buffer length.\r\n     * @type {number}\r\n     */\r\n    this.len = writer.len;\r\n\r\n    /**\r\n     * Next state.\r\n     * @type {State|null}\r\n     */\r\n    this.next = writer.states;\r\n}\r\n\r\n/**\r\n * Constructs a new writer instance.\r\n * @classdesc Wire format writer using `Uint8Array` if available, otherwise `Array`.\r\n * @constructor\r\n */\r\nfunction Writer() {\r\n\r\n    /**\r\n     * Current length.\r\n     * @type {number}\r\n     */\r\n    this.len = 0;\r\n\r\n    /**\r\n     * Operations head.\r\n     * @type {Object}\r\n     */\r\n    this.head = new Op(noop, 0, 0);\r\n\r\n    /**\r\n     * Operations tail\r\n     * @type {Object}\r\n     */\r\n    this.tail = this.head;\r\n\r\n    /**\r\n     * Linked forked states.\r\n     * @type {Object|null}\r\n     */\r\n    this.states = null;\r\n\r\n    // When a value is written, the writer calculates its byte length and puts it into a linked\r\n    // list of operations to perform when finish() is called. This both allows us to allocate\r\n    // buffers of the exact required size and reduces the amount of work we have to do compared\r\n    // to first calculating over objects and then encoding over objects. In our case, the encoding\r\n    // part is just a linked list walk calling operations with already prepared values.\r\n}\r\n\r\n/**\r\n * Creates a new writer.\r\n * @function\r\n * @returns {BufferWriter|Writer} A {@link BufferWriter} when Buffers are supported, otherwise a {@link Writer}\r\n */\r\nWriter.create = util.Buffer\r\n    ? function create_buffer_setup() {\r\n        return (Writer.create = function create_buffer() {\r\n            return new BufferWriter();\r\n        })();\r\n    }\r\n    /* istanbul ignore next */\r\n    : function create_array() {\r\n        return new Writer();\r\n    };\r\n\r\n/**\r\n * Allocates a buffer of the specified size.\r\n * @param {number} size Buffer size\r\n * @returns {Uint8Array} Buffer\r\n */\r\nWriter.alloc = function alloc(size) {\r\n    return new util.Array(size);\r\n};\r\n\r\n// Use Uint8Array buffer pool in the browser, just like node does with buffers\r\n/* istanbul ignore else */\r\nif (util.Array !== Array)\r\n    Writer.alloc = util.pool(Writer.alloc, util.Array.prototype.subarray);\r\n\r\n/**\r\n * Pushes a new operation to the queue.\r\n * @param {function(Uint8Array, number, *)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @returns {Writer} `this`\r\n * @private\r\n */\r\nWriter.prototype._push = function push(fn, len, val) {\r\n    this.tail = this.tail.next = new Op(fn, len, val);\r\n    this.len += len;\r\n    return this;\r\n};\r\n\r\nfunction writeByte(val, buf, pos) {\r\n    buf[pos] = val & 255;\r\n}\r\n\r\nfunction writeVarint32(val, buf, pos) {\r\n    while (val > 127) {\r\n        buf[pos++] = val & 127 | 128;\r\n        val >>>= 7;\r\n    }\r\n    buf[pos] = val;\r\n}\r\n\r\n/**\r\n * Constructs a new varint writer operation instance.\r\n * @classdesc Scheduled varint writer operation.\r\n * @extends Op\r\n * @constructor\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @ignore\r\n */\r\nfunction VarintOp(len, val) {\r\n    this.len = len;\r\n    this.next = undefined;\r\n    this.val = val;\r\n}\r\n\r\nVarintOp.prototype = Object.create(Op.prototype);\r\nVarintOp.prototype.fn = writeVarint32;\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as a varint.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.uint32 = function write_uint32(value) {\r\n    // here, the call to this.push has been inlined and a varint specific Op subclass is used.\r\n    // uint32 is by far the most frequently used operation and benefits significantly from this.\r\n    this.len += (this.tail = this.tail.next = new VarintOp(\r\n        (value = value >>> 0)\r\n                < 128       ? 1\r\n        : value < 16384     ? 2\r\n        : value < 2097152   ? 3\r\n        : value < 268435456 ? 4\r\n        :                     5,\r\n    value)).len;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as a varint.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.int32 = function write_int32(value) {\r\n    return value < 0\r\n        ? this._push(writeVarint64, 10, LongBits.fromNumber(value)) // 10 bytes per spec\r\n        : this.uint32(value);\r\n};\r\n\r\n/**\r\n * Writes a 32 bit value as a varint, zig-zag encoded.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sint32 = function write_sint32(value) {\r\n    return this.uint32((value << 1 ^ value >> 31) >>> 0);\r\n};\r\n\r\nfunction writeVarint64(val, buf, pos) {\r\n    while (val.hi) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = (val.lo >>> 7 | val.hi << 25) >>> 0;\r\n        val.hi >>>= 7;\r\n    }\r\n    while (val.lo > 127) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = val.lo >>> 7;\r\n    }\r\n    buf[pos++] = val.lo;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as a varint.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.uint64 = function write_uint64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.int64 = Writer.prototype.uint64;\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint, zig-zag encoded.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sint64 = function write_sint64(value) {\r\n    var bits = LongBits.from(value).zzEncode();\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a boolish value as a varint.\r\n * @param {boolean} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.bool = function write_bool(value) {\r\n    return this._push(writeByte, 1, value ? 1 : 0);\r\n};\r\n\r\nfunction writeFixed32(val, buf, pos) {\r\n    buf[pos    ] =  val         & 255;\r\n    buf[pos + 1] =  val >>> 8   & 255;\r\n    buf[pos + 2] =  val >>> 16  & 255;\r\n    buf[pos + 3] =  val >>> 24;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as fixed 32 bits.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.fixed32 = function write_fixed32(value) {\r\n    return this._push(writeFixed32, 4, value >>> 0);\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as fixed 32 bits.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sfixed32 = Writer.prototype.fixed32;\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as fixed 64 bits.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.fixed64 = function write_fixed64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeFixed32, 4, bits.lo)._push(writeFixed32, 4, bits.hi);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as fixed 64 bits.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sfixed64 = Writer.prototype.fixed64;\r\n\r\n/**\r\n * Writes a float (32 bit).\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.float = function write_float(value) 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strict\";\r\nmodule.exports = Writer;\r\n\r\nvar util      = require(\"./util/minimal\");\r\n\r\nvar BufferWriter; // cyclic\r\n\r\nvar LongBits  = util.LongBits,\r\n    base64    = util.base64,\r\n    utf8      = util.utf8;\r\n\r\n/**\r\n * Constructs a new writer operation instance.\r\n * @classdesc Scheduled writer operation.\r\n * @constructor\r\n * @param {function(*, Uint8Array, number)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {*} val Value to write\r\n * @ignore\r\n */\r\nfunction Op(fn, len, val) {\r\n\r\n    /**\r\n     * Function to call.\r\n     * @type {function(Uint8Array, number, *)}\r\n     */\r\n    this.fn = fn;\r\n\r\n    /**\r\n     * Value byte length.\r\n     * @type {number}\r\n     */\r\n    this.len = len;\r\n\r\n    /**\r\n     * Next operation.\r\n     * @type {Writer.Op|undefined}\r\n     */\r\n    this.next = undefined;\r\n\r\n    /**\r\n     * Value to write.\r\n     * @type {*}\r\n     */\r\n    this.val = val; // type varies\r\n}\r\n\r\n/* istanbul ignore next */\r\nfunction noop() {} // eslint-disable-line no-empty-function\r\n\r\n/**\r\n * Constructs a new writer state instance.\r\n * @classdesc Copied writer state.\r\n * @memberof Writer\r\n * @constructor\r\n * @param {Writer} writer Writer to copy state from\r\n * @ignore\r\n */\r\nfunction State(writer) {\r\n\r\n    /**\r\n     * Current head.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.head = writer.head;\r\n\r\n    /**\r\n     * Current tail.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.tail = writer.tail;\r\n\r\n    /**\r\n     * Current buffer length.\r\n     * @type {number}\r\n     */\r\n    this.len = writer.len;\r\n\r\n    /**\r\n     * Next state.\r\n     * @type {State|null}\r\n     */\r\n    this.next = writer.states;\r\n}\r\n\r\n/**\r\n * Constructs a new writer instance.\r\n * @classdesc Wire format writer using `Uint8Array` if available, otherwise `Array`.\r\n * @constructor\r\n */\r\nfunction Writer() {\r\n\r\n    /**\r\n     * Current length.\r\n     * @type {number}\r\n     */\r\n    this.len = 0;\r\n\r\n    /**\r\n     * Operations head.\r\n     * @type {Object}\r\n     */\r\n    this.head = new Op(noop, 0, 0);\r\n\r\n    /**\r\n     * Operations tail\r\n     * @type {Object}\r\n     */\r\n    this.tail = this.head;\r\n\r\n    /**\r\n     * Linked forked states.\r\n     * @type {Object|null}\r\n     */\r\n    this.states = null;\r\n\r\n    // When a value is written, the writer calculates its byte length and puts it into a linked\r\n    // list of operations to perform when finish() is called. This both allows us to allocate\r\n    // buffers of the exact required size and reduces the amount of work we have to do compared\r\n    // to first calculating over objects and then encoding over objects. In our case, the encoding\r\n    // part is just a linked list walk calling operations with already prepared values.\r\n}\r\n\r\n/**\r\n * Creates a new writer.\r\n * @function\r\n * @returns {BufferWriter|Writer} A {@link BufferWriter} when Buffers are supported, otherwise a {@link Writer}\r\n */\r\nWriter.create = util.Buffer\r\n    ? function create_buffer_setup() {\r\n        return (Writer.create = function create_buffer() {\r\n            return new BufferWriter();\r\n        })();\r\n    }\r\n    /* istanbul ignore next */\r\n    : function create_array() {\r\n        return new Writer();\r\n    };\r\n\r\n/**\r\n * Allocates a buffer of the specified size.\r\n * @param {number} size Buffer size\r\n * @returns {Uint8Array} Buffer\r\n */\r\nWriter.alloc = function alloc(size) {\r\n    return new util.Array(size);\r\n};\r\n\r\n// Use Uint8Array buffer pool in the browser, just like node does with buffers\r\n/* istanbul ignore else */\r\nif (util.Array !== Array)\r\n    Writer.alloc = util.pool(Writer.alloc, util.Array.prototype.subarray);\r\n\r\n/**\r\n * Pushes a new operation to the queue.\r\n * @param {function(Uint8Array, number, *)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @returns {Writer} `this`\r\n * @private\r\n */\r\nWriter.prototype._push = function push(fn, len, val) {\r\n    this.tail = this.tail.next = new Op(fn, len, val);\r\n    this.len += len;\r\n    return this;\r\n};\r\n\r\nfunction writeByte(val, buf, pos) {\r\n    buf[pos] = val & 255;\r\n}\r\n\r\nfunction writeVarint32(val, buf, pos) {\r\n    while (val > 127) {\r\n        buf[pos++] = val & 127 | 128;\r\n        val >>>= 7;\r\n    }\r\n    buf[pos] = val;\r\n}\r\n\r\n/**\r\n * Constructs a new varint writer operation instance.\r\n * @classdesc Scheduled varint writer operation.\r\n * @extends Op\r\n * @constructor\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @ignore\r\n */\r\nfunction VarintOp(len, val) {\r\n    this.len = len;\r\n    this.next = undefined;\r\n    this.val = val;\r\n}\r\n\r\nVarintOp.prototype = Object.create(Op.prototype);\r\nVarintOp.prototype.fn = writeVarint32;\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as a varint.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.uint32 = function write_uint32(value) {\r\n    // here, the call to this.push has been inlined and a varint specific Op subclass is used.\r\n    // uint32 is by far the most frequently used operation and benefits significantly from this.\r\n    this.len += (this.tail = this.tail.next = new VarintOp(\r\n        (value = value >>> 0)\r\n                < 128       ? 1\r\n        : value < 16384     ? 2\r\n        : value < 2097152   ? 3\r\n        : value < 268435456 ? 4\r\n        :                     5,\r\n    value)).len;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as a varint.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.int32 = function write_int32(value) {\r\n    return value < 0\r\n        ? this._push(writeVarint64, 10, LongBits.fromNumber(value)) // 10 bytes per spec\r\n        : this.uint32(value);\r\n};\r\n\r\n/**\r\n * Writes a 32 bit value as a varint, zig-zag encoded.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sint32 = function write_sint32(value) {\r\n    return this.uint32((value << 1 ^ value >> 31) >>> 0);\r\n};\r\n\r\nfunction writeVarint64(val, buf, pos) {\r\n    while (val.hi) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = (val.lo >>> 7 | val.hi << 25) >>> 0;\r\n        val.hi >>>= 7;\r\n    }\r\n    while (val.lo > 127) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = val.lo >>> 7;\r\n    }\r\n    buf[pos++] = val.lo;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as a varint.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.uint64 = function write_uint64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.int64 = Writer.prototype.uint64;\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint, zig-zag encoded.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sint64 = function write_sint64(value) {\r\n    var bits = LongBits.from(value).zzEncode();\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a boolish value as a varint.\r\n * @param {boolean} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.bool = function write_bool(value) {\r\n    return this._push(writeByte, 1, value ? 1 : 0);\r\n};\r\n\r\nfunction writeFixed32(val, buf, pos) {\r\n    buf[pos    ] =  val         & 255;\r\n    buf[pos + 1] =  val >>> 8   & 255;\r\n    buf[pos + 2] =  val >>> 16  & 255;\r\n    buf[pos + 3] =  val >>> 24;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as fixed 32 bits.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.fixed32 = function write_fixed32(value) {\r\n    return this._push(writeFixed32, 4, value >>> 0);\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as fixed 32 bits.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sfixed32 = Writer.prototype.fixed32;\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as fixed 64 bits.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.fixed64 = function write_fixed64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeFixed32, 4, bits.lo)._push(writeFixed32, 4, bits.hi);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as fixed 64 bits.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sfixed64 = Writer.prototype.fixed64;\r\n\r\n/**\r\n * Writes a float (32 bit).\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.float = function write_float(value) {\r\n    return this._push(util.float.writeFloatLE, 4, value);\r\n};\r\n\r\n/**\r\n * Writes a double (64 bit float).\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.double = function write_double(value) {\r\n    return this._push(util.float.writeDoubleLE, 8, value);\r\n};\r\n\r\nvar writeBytes = util.Array.prototype.set\r\n    ? function writeBytes_set(val, buf, pos) {\r\n        buf.set(val, pos); // also works for plain array values\r\n    }\r\n    /* istanbul ignore next */\r\n    : function writeBytes_for(val, buf, pos) {\r\n        for (var i = 0; i < val.length; ++i)\r\n            buf[pos + i] = val[i];\r\n    };\r\n\r\n/**\r\n * Writes a sequence of bytes.\r\n * @param {Uint8Array|string} value Buffer or base64 encoded string to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.bytes = function write_bytes(value) {\r\n    var len = value.length >>> 0;\r\n    if (!len)\r\n        return this._push(writeByte, 1, 0);\r\n    if (util.isString(value)) {\r\n        var buf = Writer.alloc(len = base64.length(value));\r\n        base64.decode(value, buf, 0);\r\n        value = buf;\r\n    }\r\n    return this.uint32(len)._push(writeBytes, len, value);\r\n};\r\n\r\n/**\r\n * Writes a string.\r\n * @param {string} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.string = function write_string(value) {\r\n    var len = utf8.length(value);\r\n    return len\r\n        ? this.uint32(len)._push(utf8.write, len, value)\r\n        : this._push(writeByte, 1, 0);\r\n};\r\n\r\n/**\r\n * Forks this writer's state by pushing it to a stack.\r\n * Calling {@link Writer#reset|reset} or {@link Writer#ldelim|ldelim} resets the writer to the previous state.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.fork = function fork() {\r\n    this.states = new State(this);\r\n    this.head = this.tail = new Op(noop, 0, 0);\r\n    this.len = 0;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Resets this instance to the last state.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.reset = function reset() {\r\n    if (this.states) {\r\n        this.head   = this.states.head;\r\n        this.tail   = this.states.tail;\r\n        this.len    = this.states.len;\r\n        this.states = this.states.next;\r\n    } else {\r\n        this.head = this.tail = new Op(noop, 0, 0);\r\n        this.len  = 0;\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Resets to the last state and appends the fork state's current write length as a varint followed by its operations.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.ldelim = function ldelim() {\r\n    var head = this.head,\r\n        tail = this.tail,\r\n        len  = this.len;\r\n    this.reset().uint32(len);\r\n    if (len) {\r\n        this.tail.next = head.next; // skip noop\r\n        this.tail = tail;\r\n        this.len += len;\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Finishes the write operation.\r\n * @returns {Uint8Array} Finished buffer\r\n */\r\nWriter.prototype.finish = function finish() {\r\n    var head = this.head.next, // skip noop\r\n        buf  = this.constructor.alloc(this.len),\r\n        pos  = 0;\r\n    while (head) {\r\n        head.fn(head.val, buf, pos);\r\n        pos += head.len;\r\n        head = head.next;\r\n    }\r\n    // this.head = this.tail = null;\r\n    return buf;\r\n};\r\n\r\nWriter._configure = function(BufferWriter_) {\r\n    BufferWriter = BufferWriter_;\r\n};\r\n"},"lineCount":460}},"hash":"e06d1364672c27ed1700677b509b2e89","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/c4d93d496a64f478c60e6a6f987b8eb7.json b/tictac/.cache/c4d93d496a64f478c60e6a6f987b8eb7.json
new file mode 100644
index 00000000..96447c3a
--- /dev/null
+++ b/tictac/.cache/c4d93d496a64f478c60e6a6f987b8eb7.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/public-encrypt/package.json","includedInParent":true,"mtime":499162500000},{"name":"parse-asn1","loc":{"line":1,"column":24}},{"name":"./mgf","loc":{"line":2,"column":18}},{"name":"./xor","loc":{"line":3,"column":18}},{"name":"bn.js","loc":{"line":4,"column":17}},{"name":"browserify-rsa","loc":{"line":5,"column":18}},{"name":"create-hash","loc":{"line":6,"column":25}},{"name":"./withPublic","loc":{"line":7,"column":25}},{"name":"buffer"}],"generated":{"js":"var Buffer = require(\"buffer\").Buffer;\nvar parseKeys = require('parse-asn1');\nvar mgf = require('./mgf');\nvar xor = require('./xor');\nvar bn = require('bn.js');\nvar crt = require('browserify-rsa');\nvar createHash = require('create-hash');\nvar withPublic = require('./withPublic');\nmodule.exports = function privateDecrypt(private_key, enc, reverse) {\n  var padding;\n  if (private_key.padding) {\n    padding = private_key.padding;\n  } else if (reverse) {\n    padding = 1;\n  } else {\n    padding = 4;\n  }\n  \n  var key = parseKeys(private_key);\n  var k = key.modulus.byteLength();\n  if (enc.length > k || new bn(enc).cmp(key.modulus) >= 0) {\n    throw new Error('decryption error');\n  }\n  var msg;\n  if (reverse) {\n    msg = withPublic(new bn(enc), key);\n  } else {\n    msg = crt(enc, key);\n  }\n  var zBuffer = new Buffer(k - msg.length);\n  zBuffer.fill(0);\n  msg = Buffer.concat([zBuffer, msg], k);\n  if (padding === 4) {\n    return oaep(key, msg);\n  } else if (padding === 1) {\n    return pkcs1(key, msg, reverse);\n  } else if (padding === 3) {\n    return msg;\n  } else {\n    throw new Error('unknown padding');\n  }\n};\n\nfunction oaep(key, msg){\n  var n = key.modulus;\n  var k = key.modulus.byteLength();\n  var mLen = msg.length;\n  var iHash = createHash('sha1').update(new Buffer('')).digest();\n  var hLen = iHash.length;\n  var hLen2 = 2 * hLen;\n  if (msg[0] !== 0) {\n    throw new Error('decryption error');\n  }\n  var maskedSeed = msg.slice(1, hLen + 1);\n  var maskedDb =  msg.slice(hLen + 1);\n  var seed = xor(maskedSeed, mgf(maskedDb, hLen));\n  var db = xor(maskedDb, mgf(seed, k - hLen - 1));\n  if (compare(iHash, db.slice(0, hLen))) {\n    throw new Error('decryption error');\n  }\n  var i = hLen;\n  while (db[i] === 0) {\n    i++;\n  }\n  if (db[i++] !== 1) {\n    throw new Error('decryption error');\n  }\n  return db.slice(i);\n}\n\nfunction pkcs1(key, msg, reverse){\n  var p1 = msg.slice(0, 2);\n  var i = 2;\n  var status = 0;\n  while (msg[i++] !== 0) {\n    if (i >= msg.length) {\n      status++;\n      break;\n    }\n  }\n  var ps = msg.slice(2, i - 1);\n  var p2 = msg.slice(i - 1, i);\n\n  if ((p1.toString('hex') !== '0002' && !reverse) || (p1.toString('hex') !== '0001' && reverse)){\n    status++;\n  }\n  if 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 num.iadd(FOUR);\n      }\n    } else if (!gen.cmp(FIVE)) {\n      while (num.mod(TEN).cmp(THREE)) {\n        num.iadd(FOUR);\n      }\n    }\n    n2 = num.shrn(1);\n    if (simpleSieve(n2) && simpleSieve(num) &&\n      fermatTest(n2) && fermatTest(num) &&\n      millerRabin.test(n2) && millerRabin.test(num)) {\n      return num;\n    }\n  }\n\n}\n"},"lineCount":106}},"hash":"9ef1beabba74f15b55e2c6ba45e9318d","cacheData":{"env":{}}}
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diff --git a/tictac/.cache/c75189b192ab68ea63a54d37c7ec87bc.json b/tictac/.cache/c75189b192ab68ea63a54d37c7ec87bc.json
new file mode 100644
index 00000000..3933876c
--- /dev/null
+++ b/tictac/.cache/c75189b192ab68ea63a54d37c7ec87bc.json
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 secp521r1: {\n    name: 'p521',\n    byteLength: 66\n  }\n}\n\naliases.p224 = aliases.secp224r1\naliases.p256 = aliases.secp256r1 = aliases.prime256v1\naliases.p192 = aliases.secp192r1 = aliases.prime192v1\naliases.p384 = aliases.secp384r1\naliases.p521 = aliases.secp521r1\n\nfunction ECDH (curve) {\n  this.curveType = aliases[curve]\n  if (!this.curveType) {\n    this.curveType = {\n      name: curve\n    }\n  }\n  this.curve = new elliptic.ec(this.curveType.name) // eslint-disable-line new-cap\n  this.keys = void 0\n}\n\nECDH.prototype.generateKeys = function (enc, format) {\n  this.keys = this.curve.genKeyPair()\n  return this.getPublicKey(enc, format)\n}\n\nECDH.prototype.computeSecret = function (other, inenc, enc) {\n  inenc = inenc || 'utf8'\n  if (!Buffer.isBuffer(other)) {\n    other = new Buffer(other, inenc)\n  }\n  var otherPub = this.curve.keyFromPublic(other).getPublic()\n  var out = otherPub.mul(this.keys.getPrivate()).getX()\n  return formatReturnValue(out, enc, 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elliptic = require('elliptic')\nvar BN = require('bn.js')\n\nmodule.exports = function createECDH (curve) {\n  return new ECDH(curve)\n}\n\nvar aliases = {\n  secp256k1: {\n    name: 'secp256k1',\n    byteLength: 32\n  },\n  secp224r1: {\n    name: 'p224',\n    byteLength: 28\n  },\n  prime256v1: {\n    name: 'p256',\n    byteLength: 32\n  },\n  prime192v1: {\n    name: 'p192',\n    byteLength: 24\n  },\n  ed25519: {\n    name: 'ed25519',\n    byteLength: 32\n  },\n  secp384r1: {\n    name: 'p384',\n    byteLength: 48\n  },\n  secp521r1: {\n    name: 'p521',\n    byteLength: 66\n  }\n}\n\naliases.p224 = aliases.secp224r1\naliases.p256 = aliases.secp256r1 = aliases.prime256v1\naliases.p192 = aliases.secp192r1 = aliases.prime192v1\naliases.p384 = aliases.secp384r1\naliases.p521 = aliases.secp521r1\n\nfunction ECDH (curve) {\n  this.curveType = aliases[curve]\n  if (!this.curveType) {\n    this.curveType = {\n      name: curve\n    }\n  }\n  this.curve = new 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diff --git a/tictac/.cache/c9f209b72eb98ff3ddbfe7f0ff8dbfaa.json b/tictac/.cache/c9f209b72eb98ff3ddbfe7f0ff8dbfaa.json
new file mode 100644
index 00000000..27243940
--- /dev/null
+++ b/tictac/.cache/c9f209b72eb98ff3ddbfe7f0ff8dbfaa.json
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diff --git a/tictac/.cache/d36cc8cc4a7110d19df9619e2d8f17b0.json b/tictac/.cache/d36cc8cc4a7110d19df9619e2d8f17b0.json
new file mode 100644
index 00000000..bb92546a
--- /dev/null
+++ b/tictac/.cache/d36cc8cc4a7110d19df9619e2d8f17b0.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/elliptic/package.json","includedInParent":true,"mtime":1487798844000},{"name":"bn.js","loc":{"line":3,"column":17}},{"name":"../../elliptic","loc":{"line":4,"column":23}}],"generated":{"js":"'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar getNAF = utils.getNAF;\nvar getJSF = utils.getJSF;\nvar assert = utils.assert;\n\nfunction BaseCurve(type, conf) {\n  this.type = type;\n  this.p = new BN(conf.p, 16);\n\n  // Use Montgomery, when there is no fast reduction for the prime\n  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);\n\n  // Useful for many curves\n  this.zero = new BN(0).toRed(this.red);\n  this.one = new BN(1).toRed(this.red);\n  this.two = new BN(2).toRed(this.red);\n\n  // Curve configuration, optional\n  this.n = conf.n && new BN(conf.n, 16);\n  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);\n\n  // Temporary arrays\n  this._wnafT1 = new Array(4);\n  this._wnafT2 = new Array(4);\n  this._wnafT3 = new Array(4);\n  this._wnafT4 = new Array(4);\n\n  // Generalized Greg Maxwell's trick\n  var adjustCount = this.n && this.p.div(this.n);\n  if (!adjustCount || adjustCount.cmpn(100) > 0) {\n    this.redN = null;\n  } else {\n    this._maxwellTrick = true;\n    this.redN = this.n.toRed(this.red);\n  }\n}\nmodule.exports = BaseCurve;\n\nBaseCurve.prototype.point = function point() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype.validate = function validate() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {\n  assert(p.precomputed);\n  var doubles = p._getDoubles();\n\n  var naf = getNAF(k, 1);\n  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);\n  I /= 3;\n\n  // Translate into more windowed form\n  var repr = [];\n  for (var j = 0; j < naf.length; j += doubles.step) {\n    var nafW = 0;\n    for (var k = j + doubles.step - 1; k >= j; k--)\n      nafW = (nafW << 1) + naf[k];\n    repr.push(nafW);\n  }\n\n  var a = this.jpoint(null, null, null);\n  var b = this.jpoint(null, null, null);\n  for (var i = I; i > 0; i--) {\n    for (var j = 0; j < repr.length; j++) {\n      var nafW = repr[j];\n      if (nafW === i)\n        b = b.mixedAdd(doubles.points[j]);\n      else if (nafW === -i)\n        b = b.mixedAdd(doubles.points[j].neg());\n    }\n    a = a.add(b);\n  }\n  return a.toP();\n};\n\nBaseCurve.prototype._wnafMul = function _wnafMul(p, k) {\n  var w = 4;\n\n  // Precompute window\n  var nafPoints = p._getNAFPoints(w);\n  w = nafPoints.wnd;\n  var wnd = nafPoints.points;\n\n  // Get NAF form\n  var naf = getNAF(k, w);\n\n  // Add `this`*(N+1) for every w-NAF index\n  var acc = this.jpoint(null, null, null);\n  for (var i = naf.length - 1; i >= 0; i--) {\n    // Count zeroes\n    for (var k = 0; i >= 0 && naf[i] === 0; i--)\n      k++;\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n\n    if (i < 0)\n      break;\n    var z = naf[i];\n    assert(z !== 0);\n    if (p.type === 'affine') {\n      // J +- P\n      if (z > 0)\n        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());\n    } else {\n      // J +- J\n      if (z > 0)\n        acc = acc.add(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.add(wnd[(-z - 1) >> 1].neg());\n    }\n  }\n  return p.type === 'affine' ? acc.toP() : acc;\n};\n\nBaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,\n                                                       points,\n                                                       coeffs,\n                                                       len,\n                                                       jacobianResult) {\n  var wndWidth = this._wnafT1;\n  var wnd = this._wnafT2;\n  var naf = this._wnafT3;\n\n  // Fill all arrays\n  var max = 0;\n  for (var i = 0; i < len; i++) {\n    var p = points[i];\n    var nafPoints = p._getNAFPoints(defW);\n    wndWidth[i] = nafPoints.wnd;\n    wnd[i] = nafPoints.points;\n  }\n\n  // Comb small window NAFs\n  for (var i = len - 1; i >= 1; i -= 2) {\n    var a = i - 1;\n    var b = i;\n    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {\n      naf[a] = getNAF(coeffs[a], wndWidth[a]);\n      naf[b] = getNAF(coeffs[b], wndWidth[b]);\n      max = Math.max(naf[a].length, max);\n      max = Math.max(naf[b].length, max);\n      continue;\n    }\n\n    var comb = [\n      points[a], /* 1 */\n      null, /* 3 */\n      null, /* 5 */\n      points[b] /* 7 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= index[(ja + 1) * 3 + (jb + 1)];\n      naf[b][j] = 0;\n      wnd[a] = comb;\n    }\n  }\n\n  var acc = this.jpoint(null, null, null);\n  var tmp = this._wnafT4;\n  for (var i = max; i >= 0; i--) {\n    var k = 0;\n\n    while (i >= 0) {\n      var zero = true;\n      for (var j = 0; j < len; j++) {\n        tmp[j] = naf[j][i] | 0;\n        if (tmp[j] !== 0)\n          zero = false;\n      }\n      if (!zero)\n        break;\n      k++;\n      i--;\n    }\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n    if (i < 0)\n      break;\n\n    for (var j = 0; j < len; j++) {\n      var z = tmp[j];\n      var p;\n      if (z === 0)\n        continue;\n      else if (z > 0)\n        p = wnd[j][(z - 1) >> 1];\n      else if (z < 0)\n        p = wnd[j][(-z - 1) >> 1].neg();\n\n      if (p.type === 'affine')\n        acc = acc.mixedAdd(p);\n      else\n        acc = acc.add(p);\n    }\n  }\n  // Zeroify references\n  for (var i = 0; i < len; i++)\n    wnd[i] = null;\n\n  if 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strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar getNAF = utils.getNAF;\nvar getJSF = utils.getJSF;\nvar assert = utils.assert;\n\nfunction BaseCurve(type, conf) {\n  this.type = type;\n  this.p = new BN(conf.p, 16);\n\n  // Use Montgomery, when there is no fast reduction for the prime\n  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);\n\n  // Useful for many curves\n  this.zero = new BN(0).toRed(this.red);\n  this.one = new BN(1).toRed(this.red);\n  this.two = new BN(2).toRed(this.red);\n\n  // Curve configuration, optional\n  this.n = conf.n && new BN(conf.n, 16);\n  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);\n\n  // Temporary arrays\n  this._wnafT1 = new Array(4);\n  this._wnafT2 = new Array(4);\n  this._wnafT3 = new Array(4);\n  this._wnafT4 = new Array(4);\n\n  // Generalized Greg Maxwell's trick\n  var adjustCount = this.n && this.p.div(this.n);\n  if (!adjustCount || adjustCount.cmpn(100) > 0) {\n    this.redN = null;\n  } else {\n    this._maxwellTrick = true;\n    this.redN = this.n.toRed(this.red);\n  }\n}\nmodule.exports = BaseCurve;\n\nBaseCurve.prototype.point = function point() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype.validate = function validate() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {\n  assert(p.precomputed);\n  var doubles = p._getDoubles();\n\n  var naf = getNAF(k, 1);\n  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);\n  I /= 3;\n\n  // Translate into more windowed form\n  var repr = [];\n  for (var j = 0; j < naf.length; j += doubles.step) {\n    var nafW = 0;\n    for (var k = j + doubles.step - 1; k >= j; k--)\n      nafW = (nafW << 1) + naf[k];\n    repr.push(nafW);\n  }\n\n  var a = this.jpoint(null, null, null);\n  var b = this.jpoint(null, null, null);\n  for (var i = I; i > 0; i--) {\n    for (var j = 0; j < repr.length; j++) {\n      var nafW = repr[j];\n      if (nafW === i)\n        b = b.mixedAdd(doubles.points[j]);\n      else if (nafW === -i)\n        b = b.mixedAdd(doubles.points[j].neg());\n    }\n    a = a.add(b);\n  }\n  return a.toP();\n};\n\nBaseCurve.prototype._wnafMul = function _wnafMul(p, k) {\n  var w = 4;\n\n  // Precompute window\n  var nafPoints = p._getNAFPoints(w);\n  w = nafPoints.wnd;\n  var wnd = nafPoints.points;\n\n  // Get NAF form\n  var naf = getNAF(k, w);\n\n  // Add `this`*(N+1) for every w-NAF index\n  var acc = this.jpoint(null, null, null);\n  for (var i = naf.length - 1; i >= 0; i--) {\n    // Count zeroes\n    for (var k = 0; i >= 0 && naf[i] === 0; i--)\n      k++;\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n\n    if (i < 0)\n      break;\n    var z = naf[i];\n    assert(z !== 0);\n    if (p.type === 'affine') {\n      // J +- P\n      if (z > 0)\n        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());\n    } else {\n      // J +- J\n      if (z > 0)\n        acc = acc.add(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.add(wnd[(-z - 1) >> 1].neg());\n    }\n  }\n  return p.type === 'affine' ? acc.toP() : acc;\n};\n\nBaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,\n                                                       points,\n                                                       coeffs,\n                                                       len,\n                                                       jacobianResult) {\n  var wndWidth = this._wnafT1;\n  var wnd = this._wnafT2;\n  var naf = this._wnafT3;\n\n  // Fill all arrays\n  var max = 0;\n  for (var i = 0; i < len; i++) {\n    var p = points[i];\n    var nafPoints = p._getNAFPoints(defW);\n    wndWidth[i] = nafPoints.wnd;\n    wnd[i] = nafPoints.points;\n  }\n\n  // Comb small window NAFs\n  for (var i = len - 1; i >= 1; i -= 2) {\n    var a = i - 1;\n    var b = i;\n    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {\n      naf[a] = getNAF(coeffs[a], wndWidth[a]);\n      naf[b] = getNAF(coeffs[b], wndWidth[b]);\n      max = Math.max(naf[a].length, max);\n      max = Math.max(naf[b].length, max);\n      continue;\n    }\n\n    var comb = [\n      points[a], /* 1 */\n      null, /* 3 */\n      null, /* 5 */\n      points[b] /* 7 */\n    ];\n\n    // Try to avoid Projective points, if possible\n    if (points[a].y.cmp(points[b].y) === 0) {\n      comb[1] = points[a].add(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    } else if (points[a].y.cmp(points[b].y.redNeg()) === 0) {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].add(points[b].neg());\n    } else {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    }\n\n    var index = [\n      -3, /* -1 -1 */\n      -1, /* -1 0 */\n      -5, /* -1 1 */\n      -7, /* 0 -1 */\n      0, /* 0 0 */\n      7, /* 0 1 */\n      5, /* 1 -1 */\n      1, /* 1 0 */\n      3  /* 1 1 */\n    ];\n\n    var jsf = getJSF(coeffs[a], coeffs[b]);\n    max = Math.max(jsf[0].length, max);\n    naf[a] = new Array(max);\n    naf[b] = new Array(max);\n    for (var j = 0; j < max; j++) {\n      var ja = jsf[0][j] | 0;\n      var jb = jsf[1][j] | 0;\n\n      naf[a][j] = index[(ja + 1) * 3 + (jb + 1)];\n      naf[b][j] = 0;\n      wnd[a] = comb;\n    }\n  }\n\n  var acc = this.jpoint(null, null, null);\n  var tmp = this._wnafT4;\n  for (var i = max; i >= 0; i--) {\n    var k = 0;\n\n    while (i >= 0) {\n      var zero = true;\n      for (var j = 0; j < len; j++) {\n        tmp[j] = naf[j][i] | 0;\n        if (tmp[j] !== 0)\n          zero = false;\n      }\n      if (!zero)\n        break;\n      k++;\n      i--;\n    }\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n    if (i < 0)\n      break;\n\n    for (var j = 0; j < len; j++) {\n      var z = tmp[j];\n      var p;\n      if (z === 0)\n        continue;\n      else if (z > 0)\n        p = wnd[j][(z - 1) >> 1];\n      else if (z < 0)\n        p = wnd[j][(-z - 1) >> 1].neg();\n\n      if (p.type === 'affine')\n        acc = acc.mixedAdd(p);\n      else\n        acc = acc.add(p);\n    }\n  }\n  // Zeroify references\n  for (var i = 0; i < len; i++)\n    wnd[i] = null;\n\n  if (jacobianResult)\n    return acc;\n  else\n    return acc.toP();\n};\n\nfunction BasePoint(curve, type) {\n  this.curve = curve;\n  this.type = type;\n  this.precomputed = null;\n}\nBaseCurve.BasePoint = BasePoint;\n\nBasePoint.prototype.eq = function eq(/*other*/) {\n  throw new Error('Not implemented');\n};\n\nBasePoint.prototype.validate = function validate() {\n  return this.curve.validate(this);\n};\n\nBaseCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  bytes = utils.toArray(bytes, enc);\n\n  var len = this.p.byteLength();\n\n  // uncompressed, hybrid-odd, hybrid-even\n  if ((bytes[0] === 0x04 || bytes[0] === 0x06 || bytes[0] === 0x07) &&\n      bytes.length - 1 === 2 * len) {\n    if (bytes[0] === 0x06)\n      assert(bytes[bytes.length - 1] % 2 === 0);\n    else if (bytes[0] === 0x07)\n      assert(bytes[bytes.length - 1] % 2 === 1);\n\n    var res =  this.point(bytes.slice(1, 1 + len),\n                          bytes.slice(1 + len, 1 + 2 * len));\n\n    return res;\n  } else if ((bytes[0] === 0x02 || bytes[0] === 0x03) &&\n              bytes.length - 1 === len) {\n    return this.pointFromX(bytes.slice(1, 1 + len), bytes[0] === 0x03);\n  }\n  throw new Error('Unknown point format');\n};\n\nBasePoint.prototype.encodeCompressed = function encodeCompressed(enc) {\n  return this.encode(enc, true);\n};\n\nBasePoint.prototype._encode = function _encode(compact) {\n  var len = this.curve.p.byteLength();\n  var x = this.getX().toArray('be', len);\n\n  if (compact)\n    return [ this.getY().isEven() ? 0x02 : 0x03 ].concat(x);\n\n  return [ 0x04 ].concat(x, this.getY().toArray('be', len)) ;\n};\n\nBasePoint.prototype.encode = function encode(enc, compact) {\n  return utils.encode(this._encode(compact), enc);\n};\n\nBasePoint.prototype.precompute = function precompute(power) {\n  if (this.precomputed)\n    return this;\n\n  var precomputed = {\n    doubles: null,\n    naf: null,\n    beta: null\n  };\n  precomputed.naf = this._getNAFPoints(8);\n  precomputed.doubles = this._getDoubles(4, power);\n  precomputed.beta = this._getBeta();\n  this.precomputed = precomputed;\n\n  return this;\n};\n\nBasePoint.prototype._hasDoubles = function _hasDoubles(k) {\n  if (!this.precomputed)\n    return false;\n\n  var doubles = this.precomputed.doubles;\n  if (!doubles)\n    return false;\n\n  return doubles.points.length >= Math.ceil((k.bitLength() + 1) / doubles.step);\n};\n\nBasePoint.prototype._getDoubles = function _getDoubles(step, power) {\n  if (this.precomputed && this.precomputed.doubles)\n    return this.precomputed.doubles;\n\n  var doubles = [ this ];\n  var acc = this;\n  for (var i = 0; i < power; i += step) {\n    for (var j = 0; j < step; j++)\n      acc = acc.dbl();\n    doubles.push(acc);\n  }\n  return {\n    step: step,\n    points: doubles\n  };\n};\n\nBasePoint.prototype._getNAFPoints = function _getNAFPoints(wnd) {\n  if (this.precomputed && this.precomputed.naf)\n    return this.precomputed.naf;\n\n  var res = [ this ];\n  var max = (1 << wnd) - 1;\n  var dbl = max === 1 ? null : this.dbl();\n  for (var i = 1; i < max; i++)\n    res[i] = res[i - 1].add(dbl);\n  return {\n    wnd: wnd,\n    points: res\n  };\n};\n\nBasePoint.prototype._getBeta = function _getBeta() {\n  return null;\n};\n\nBasePoint.prototype.dblp = function dblp(k) {\n  var r = this;\n  for (var i = 0; i < k; i++)\n    r = r.dbl();\n  return r;\n};\n"},"lineCount":376}},"hash":"96e9570c138acbff2ca7033fe9fab6c3","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/d409cac3f8f938a2083a7f66b14d309c.json b/tictac/.cache/d409cac3f8f938a2083a7f66b14d309c.json
new file mode 100644
index 00000000..10c3a3e2
--- /dev/null
+++ b/tictac/.cache/d409cac3f8f938a2083a7f66b14d309c.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/@tensorflow/tfjs-layers/package.json","includedInParent":true,"mtime":1529545281000},{"name":"@tensorflow/tfjs-core","loc":{"line":17,"column":651}}],"generated":{"js":"\"use strict\";\n\nObject.defineProperty(exports, \"__esModule\", {\n  value: true\n});\nexports.version_layers = exports.SymbolicTensor = exports.Sequential = exports.RNN = exports.Model = exports.CustomCallback = exports.CallbackList = exports.Callback = exports.regularizers = exports.metrics = exports.initializers = exports.constraints = exports.layers = exports.input = exports.loadModel = exports.sequential = exports.model = undefined;\n\nvar _tfjsCore = require(\"@tensorflow/tfjs-core\");\n\nvar extendStatics = Object.setPrototypeOf || { __proto__: [] } instanceof Array && function (e, t) {\n  e.__proto__ = t;\n} || function (e, t) {\n  for (var n in t) t.hasOwnProperty(n) && (e[n] = t[n]);\n}; /**\n    * @license\n    * Copyright 2018 Google LLC. All Rights Reserved.\n    * Licensed under the Apache License, Version 2.0 (the \"License\");\n    * you may not use this file except in compliance with the License.\n    * You may obtain a copy of the License at\n    *\n    * http://www.apache.org/licenses/LICENSE-2.0\n    *\n    * Unless required by applicable law or agreed to in writing, software\n    * distributed under the License is distributed on an \"AS IS\" BASIS,\n    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n    * See the License for the specific language governing permissions and\n    * limitations under the License.\n    * =============================================================================\n    */\nfunction __extends(e, t) {\n  function n() {\n    this.constructor = e;\n  }extendStatics(e, t), e.prototype = null === t ? Object.create(t) : (n.prototype = t.prototype, new n());\n}var __assign = Object.assign || function (e) {\n  for (var t, n = 1, r = arguments.length; n < r; n++) for (var i in t = arguments[n]) Object.prototype.hasOwnProperty.call(t, i) && (e[i] = t[i]);return e;\n};function __decorate(e, t, n, r) {\n  var i,\n      a = arguments.length,\n      o = a < 3 ? t : null === r ? r = Object.getOwnPropertyDescriptor(t, n) : r;if (\"object\" == typeof Reflect && \"function\" == typeof Reflect.decorate) o = Reflect.decorate(e, t, n, r);else for (var s = e.length - 1; s >= 0; s--) (i = e[s]) && (o = (a < 3 ? i(o) : a > 3 ? i(t, n, o) : i(t, n)) || o);return a > 3 && o && Object.defineProperty(t, n, o), o;\n}function __awaiter(e, t, n, r) {\n  return new (n || (n = Promise))(function (i, a) {\n    function o(e) {\n      try {\n        l(r.next(e));\n      } catch (e) {\n        a(e);\n      }\n    }function s(e) {\n      try {\n        l(r.throw(e));\n      } catch (e) {\n        a(e);\n      }\n    }function l(e) {\n      e.done ? i(e.value) : new n(function (t) {\n        t(e.value);\n      }).then(o, s);\n    }l((r = r.apply(e, t || [])).next());\n  });\n}function __generator(e, t) {\n  var n,\n      r,\n      i,\n      a,\n      o = { label: 0, sent: function () {\n      if (1 & i[0]) throw i[1];return i[1];\n    }, trys: [], ops: [] };return a = { next: s(0), throw: s(1), return: s(2) }, \"function\" == typeof Symbol && (a[Symbol.iterator] = function () {\n    return this;\n  }), a;function s(a) {\n    return function (s) {\n      return function (a) {\n        if (n) throw new TypeError(\"Generator is already executing.\");for (; o;) try {\n          if (n = 1, r && (i = r[2 & a[0] ? \"return\" : a[0] ? \"throw\" : \"next\"]) && !(i = i.call(r, a[1])).done) return i;switch (r = 0, i && (a = [0, i.value]), a[0]) {case 0:case 1:\n              i = a;break;case 4:\n              return o.label++, { value: a[1], done: !1 };case 5:\n              o.label++, r = a[1], a = [0];continue;case 7:\n              a = o.ops.pop(), o.trys.pop();continue;default:\n              if (!(i = (i = o.trys).length > 0 && i[i.length - 1]) && (6 === a[0] || 2 === a[0])) {\n                o = 0;continue;\n              }if (3 === a[0] && (!i || a[1] > i[0] && a[1] < i[3])) {\n                o.label = a[1];break;\n              }if (6 === a[0] && o.label < i[1]) {\n                o.label = i[1], i = a;break;\n              }if (i && o.label < i[2]) {\n                o.label = i[2], o.ops.push(a);break;\n              }i[2] && o.ops.pop(), o.trys.pop();continue;}a = t.call(e, o);\n        } catch (e) {\n          a = [6, e], r = 0;\n        } finally {\n          n = i = 0;\n        }if (5 & a[0]) throw a[1];return { value: a[0] ? a[1] : void 0, done: !0 };\n      }([a, s]);\n    };\n  }\n}var AttributeError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error),\n    RuntimeError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error),\n    ValueError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error),\n    NotImplementedError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error),\n    AssertionError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error),\n    IndexError = function (e) {\n  function t(n) {\n    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;\n  }return __extends(t, e), t;\n}(Error);function pyListRepeat(e, t) {\n  if (Array.isArray(e)) {\n    for (var n = [], r = 0; r < t; r++) n = n.concat(e);return n;\n  }return (n = new Array(t)).fill(e), n;\n}function assert(e, t) {\n  if (!e) throw new AssertionError(t);\n}function count(e, t) {\n  for (var n = 0, r = 0, i = e; r < i.length; r++) {\n    i[r] === t && n++;\n  }return n;\n}function singletonOrArray(e) {\n  return 1 === e.length ? e[0] : e;\n}function toList(e) {\n  return Array.isArray(e) ? e : [e];\n}function isArrayOfShapes(e) {\n  return Array.isArray(e) && Array.isArray(e[0]);\n}function normalizeShapeList(e) {\n  return 0 === e.length ? 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(l = (S = n.get(s))[0], u = S[1]) : s in _GLOBAL_CUSTOM_OBJECTS ? (l = (I = _GLOBAL_CUSTOM_OBJECTS.className)[0], u = I[1]) : s in t && (l = (_ = t[s])[0], u = _[1]), null == l) throw new ValueError(\"Unknown \" + r + \": \" + s);if (null != u) {\n    for (var c = {}, p = 0, h = Object.keys(_GLOBAL_CUSTOM_OBJECTS); p < h.length; p++) {\n      c[v = h[p]] = _GLOBAL_CUSTOM_OBJECTS[v];\n    }for (var d = 0, g = Object.keys(n); d < g.length; d++) {\n      c[v = g[d]] = n[v];\n    }o.config.customObjects = c;for (var f = __assign({}, _GLOBAL_CUSTOM_OBJECTS), m = 0, y = Object.keys(n); m < y.length; m++) {\n      var v = y[m];_GLOBAL_CUSTOM_OBJECTS[v] = n[v];\n    }var b = u(l, o.config);return _GLOBAL_CUSTOM_OBJECTS = __assign({}, f), b;\n  }f = __assign({}, _GLOBAL_CUSTOM_OBJECTS);for (var z = 0, w = Object.keys(n); z < w.length; z++) {\n    v = w[z];_GLOBAL_CUSTOM_OBJECTS[v] = n[v];\n  }var S, I, _;b = new l(o.config);return _GLOBAL_CUSTOM_OBJECTS = __assign({}, f), b;\n}function getExactlyOneTensor(e) {\n  var t;if (Array.isArray(e)) {\n    if (1 !== e.length) throw new ValueError(\"Expected Tensor length to be 1; got \" + e.length);t = e[0];\n  } else t = e;return t;\n}function getExactlyOneShape(e) {\n  if (Array.isArray(e) && Array.isArray(e[0])) {\n    if (1 === e.length) return (e = e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \" + e.length);\n  }return e;\n}function numberCompare(e, t) {\n  return e < t ? -1 : e > t ? 1 : 0;\n}function reverseNumberCompare(e, t) {\n  return -1 * numberCompare(e, t);\n}function stringToDType(e) {\n  switch (e) {case \"float32\":\n      return \"float32\";default:\n      throw new ValueError(\"Invalid dtype: \" + e);}\n}function unique(e) {\n  if (null == e) return e;for (var t = [], n = 0, r = e; n < r.length; n++) {\n    var i = r[n];-1 === t.indexOf(i) && t.push(i);\n  }return t;\n}function isObjectEmpty(e) {\n  if (null == e) throw new ValueError(\"Invalid value in obj: \" + JSON.stringify(e));for (var t in e) if (e.hasOwnProperty(t)) return !1;return !0;\n}function checkStringTypeUnionValue(e, t, n) {\n  if (null != n && e.indexOf(n) < 0) throw new ValueError(n + \" is not a valid \" + t + \".  Valid values are \" + e + \" or null/undefined.\");\n}function checkArrayTypeAndLength(e, t, n, r) {\n  return void 0 === n && (n = 0), void 0 === r && (r = 1 / 0), assert(n >= 0), assert(r >= n), Array.isArray(e) && e.length >= n && e.length <= r && e.every(function (e) {\n    return typeof e === t;\n  });\n}function countParamsInWeights(e) {\n  for (var t = 0, n = 0, r = e; n < r.length; n++) {\n    var i = r[n];0 === i.shape.length ? t += 1 : t += i.shape.reduce(function (e, t) {\n      return e * t;\n    });\n  }return t;\n}var nameMap = new Map(),\n    VALID_DATA_FORMAT_VALUES = [\"channelsFirst\", \"channelsLast\"];function checkDataFormat(e) {\n  checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES, \"DataFormat\", e);\n}var VALID_PADDING_MODE_VALUES = [\"valid\", \"same\", \"causal\"];function checkPaddingMode(e) {\n  checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES, \"PaddingMode\", e);\n}var VALID_POOL_MODE_VALUES = [\"max\", \"avg\"];function checkPoolMode(e) {\n  checkStringTypeUnionValue(VALID_POOL_MODE_VALUES, \"PoolMode\", e);\n}var _nameScopeStack = [],\n    _nameScopeDivider = \"/\";function nameScope(e, t) {\n  _nameScopeStack.push(e);try {\n    var n = t();return _nameScopeStack.pop(), n;\n  } catch (e) {\n    throw _nameScopeStack.pop(), e;\n  }\n}function currentNameScopePrefix() {\n  return 0 === _nameScopeStack.length ? \"\" : _nameScopeStack.join(_nameScopeDivider) + _nameScopeDivider;\n}function getScopedTensorName(e) {\n  if (!isValidTensorName(e)) throw new Error(\"Not a valid tensor name: '\" + e + \"'\");return currentNameScopePrefix() + e;\n}function getUniqueTensorName(e) {\n  if (!isValidTensorName(e)) throw new Error(\"Not a valid tensor name: '\" + e + \"'\");nameMap.has(e) || nameMap.set(e, 0);var t = nameMap.get(e);if (nameMap.set(e, nameMap.get(e) + 1), t > 0) {\n    var n = e + \"_\" + t;return nameMap.set(n, 1), n;\n  }return e;\n}var tensorNameRegex = new RegExp(/^[A-Za-z][A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e) {\n  return !!e.match(tensorNameRegex);\n}function isInteger(e) {\n  return e === parseInt(e.toString(), 10);\n}function arrayProd(e, t, n) {\n  null == t && (t = 0), null == n && (n = e.length);for (var r = 1, i = t; i < n; ++i) r *= e[i];return r;\n}function toArray1D(e) {\n  return e = Array.isArray(e) ? new Float32Array(e) : e, (0, _tfjsCore.tensor1d)(e);\n}function min$1(e) {\n  return (0, _tfjsCore.min)(toArray1D(e)).dataSync()[0];\n}function max$1(e) {\n  return (0, _tfjsCore.max)(toArray1D(e)).dataSync()[0];\n}function range(e, t) {\n  if (t < e) throw new ValueError(\"end (\" + t + \") < begin (\" + e + \") is forbidden.\");for (var n = [], r = e; r < t; ++r) n.push(r);return n;\n}var _nextUniqueTensorId = 0;function getNextUniqueTensorId() {\n  return _nextUniqueTensorId++;\n}var SymbolicTensor = function () {\n  function e(e, t, n, r, i, a, o) {\n    this.dtype = e, this.shape = t, this.sourceLayer = n, this.inputs = r, this.callArgs = i, this.outputTensorIndex = o, this.id = getNextUniqueTensorId(), null != a && (this.originalName = getScopedTensorName(a), this.name = getUniqueTensorName(this.originalName)), this.rank = t.length;\n  }return e = __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], e);\n}(),\n    DEFAULT_VARIABLE_NAME_PREFIX = \"Variable\",\n    LayerVariable = function () {\n  function e(e, t, n, r, i) {\n    void 0 === t && (t = \"float32\"), void 0 === n && (n = DEFAULT_VARIABLE_NAME_PREFIX), void 0 === r && (r = !0), void 0 === i && (i = null), this.dtype = null == t ? \"float32\" : t, this.shape = e.shape, this.id = getNextUniqueTensorId(), n = null == n ? DEFAULT_VARIABLE_NAME_PREFIX : n, this.originalName = getScopedTensorName(n), this.name = getUniqueTensorName(this.originalName), this.trainable = r, this.constraint = i, this.val = (0, _tfjsCore.variable)(e, this.trainable, this.name, this.dtype);\n  }return e.prototype.read = function () {\n    return this.val;\n  }, e.prototype.write = function (e) {\n    return checkShapesMatch(this.val, e), this.val.assign(e), null != this.constraint && this.val.assign(this.constraint.apply(this.val)), this;\n  }, e;\n}();function checkShapesMatch(e, t) {\n  if (e.shape.toString() !== t.shape.toString()) throw new Error(\"Shape mismatch: \" + JSON.stringify(e.shape) + \" vs. \" + JSON.stringify(t.shape));\n}function batchGetValue(e) {\n  return e.map(function (e) {\n    return e.read();\n  });\n}function batchSetValue(e) {\n  e.map(function (e) {\n    e[0].write(e[1]);\n  });\n}var _epsilon = 1e-7;function epsilon() {\n  return _epsilon;\n}function imageDataFormat() {\n  return \"channelsLast\";\n}var DEFAULT_DTYPE = \"float32\",\n    scalarCache = { float32: {}, int32: {} };function getScalar(e, t) {\n  return void 0 === t && (t = DEFAULT_DTYPE), null == scalarCache[t][e] && (scalarCache[t][e] = (0, _tfjsCore.scalar)(e, t), (0, _tfjsCore.keep)(scalarCache[t][e])), scalarCache[t][e];\n}var epsilon$1 = epsilon;function shape(e) {\n  return e.shape;\n}function intShape(e) {\n  return e.shape;\n}function dtype(e) {\n  return e instanceof _tfjsCore.Tensor ? DEFAULT_DTYPE : e.dtype;\n}function cast(e, t) {\n  return e.asType(t);\n}function expandDims(e, t) {\n  void 0 === t && (t = -1);var n = shape(e).slice();return t < 0 && (t = n.length + t + 1), n.splice(t, 0, 1), e.reshape(n);\n}function repeat(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    if (2 !== e.shape.length) throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\" + e.shape.length + \" tensor.\");return tile$1(expandDims(e, 1), [1, t, 1]);\n  });\n}function flatten(e) {\n  var t = [arrayProd(e.shape)];return e.reshape(t);\n}function batchFlatten(e) {\n  if (e.rank <= 1) throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \" + e.rank + \".\");var t = [e.shape[0], arrayProd(e.shape, 1)];return e.reshape(t);\n}function sliceAlongFirstAxis(e, t, n) {\n  return (0, _tfjsCore.tidy)(function () {\n    switch (e.rank) {case 1:\n        return (0, _tfjsCore.slice1d)(e, t, n);case 2:\n        return (0, _tfjsCore.slice2d)(e, [t, 0], [n, e.shape[1]]);case 3:\n        return (0, _tfjsCore.slice3d)(e, [t, 0, 0], [n, e.shape[1], e.shape[2]]);case 4:\n        return (0, _tfjsCore.slice4d)(e, [t, 0, 0, 0], [n, e.shape[1], e.shape[2], e.shape[3]]);default:\n        throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \" + e.rank);}\n  });\n}function sliceAlongLastAxis(e, t, n) {\n  return (0, _tfjsCore.tidy)(function () {\n    switch (e.rank) {case 1:\n        return (0, _tfjsCore.slice1d)(e, t, n);case 2:\n        return (0, _tfjsCore.slice2d)(e, [0, t], [e.shape[0], n]);case 3:\n        return (0, _tfjsCore.slice3d)(e, [0, 0, t], [e.shape[0], e.shape[1], n]);case 4:\n        return (0, _tfjsCore.slice4d)(e, [0, 0, 0, t], [e.shape[0], e.shape[1], e.shape[2], n]);default:\n        throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \" + e.rank);}\n  });\n}function sliceAlongAxis(e, t, n, r) {\n  return (0, _tfjsCore.tidy)(function () {\n    switch (e.rank) {case 1:\n        return (0, _tfjsCore.slice1d)(e, t, n);case 2:\n        switch (r) {case 1:\n            return sliceAlongFirstAxis(e, t, n);case 2:\n            return sliceAlongLastAxis(e, t, n);default:\n            throw new ValueError(\"The axis is not within the rank of the tensor \" + r);}case 3:\n        switch (r) {case 1:\n            return sliceAlongFirstAxis(e, t, n);case 2:\n            return (0, _tfjsCore.slice3d)(e, [0, t, 0], [e.shape[0], n, e.shape[2]]);case 3:\n            return sliceAlongLastAxis(e, t, n);default:\n            throw new ValueError(\"The axis is not within the rank of the tensor \" + r);}case 4:\n        switch (r) {case 1:\n            return sliceAlongFirstAxis(e, t, n);case 2:\n            return (0, _tfjsCore.slice4d)(e, [0, t, 0, 0], [e.shape[0], n, e.shape[2], e.shape[3]]);case 3:\n            return (0, _tfjsCore.slice4d)(e, [0, 0, t, 0], [e.shape[0], e.shape[1], n, e.shape[3]]);case 4:\n            return sliceAlongLastAxis(e, t, n);default:\n            throw new ValueError(\"The axis is not within the rank of the tensor \" + r);}default:\n        throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \" + e.rank);}\n  });\n}function concatenate(e, t) {\n  var n;return void 0 === t && (t = -1), t < 0 && (t = 0 !== (n = e[0].rank) ? n : 0), t === e[0].rank && (t = -1), (0, _tfjsCore.concat)(e, t);\n}function concatAlongFirstAxis(e, t) {\n  switch (e.rank) {case 1:\n      return (0, _tfjsCore.concat1d)([e, t]);case 2:\n      return (0, _tfjsCore.concat2d)([e, t], 0);case 3:\n      return (0, _tfjsCore.concat3d)([e, t], 0);case 4:\n      return (0, _tfjsCore.concat4d)([e, t], 0);default:\n      throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \" + e.rank);}\n}function tile$1(e, t) {\n  if (Array.isArray(t) || (t = [t]), e.rank !== t.length) throw new ValueError(\"The length of input n (\" + t.length + \") does not match the number of dimensions in input x (\" + e.rank + \")\");return (0, _tfjsCore.tile)(e, t);\n}function identity(e) {\n  return e.clone();\n}function scalarTimesArray(e, t) {\n  return (0, _tfjsCore.mul)(e, t);\n}function scalarPlusArray(e, t) {\n  return (0, _tfjsCore.add)(e, t);\n}function randomNormal$1(e, t, n, r, i) {\n  return void 0 === t && (t = 0), void 0 === n && (n = 1), (0, _tfjsCore.randomNormal)(e, t, n, r, i);\n}function dot(e, t) {\n  if (2 !== t.rank) throw new NotImplementedError(\"dot support for y other than rank 2 is not yet implemented: y shape = \" + shape);if (2 === e.rank) return (0, _tfjsCore.matMul)(e, t);if (3 === e.rank) {\n    var n = e.shape[0],\n        r = e.shape[1],\n        i = e.shape[2];return e = e.reshape([n * r, i]), (0, _tfjsCore.matMul)(e, t).reshape([n, r, t.shape[1]]);\n  }throw new NotImplementedError(\"dot support for x of rank \" + e.rank + \" is not yet implemented: x shape = \" + shape);\n}function gather$1(e, t, n) {\n  return (0, _tfjsCore.tidy)(function () {\n    return t = Array.isArray(t) ? (0, _tfjsCore.tensor1d)(t, \"int32\") : t.toInt(), (0, _tfjsCore.gather)(e, t, n);\n  });\n}function square(e) {\n  return (0, _tfjsCore.mulStrict)(e, e);\n}function biasAdd(e, t, n) {\n  return (0, _tfjsCore.tidy)(function () {\n    if (null == n && (n = imageDataFormat()), checkDataFormat(n), 1 !== t.rank && t.rank !== e.rank) throw new ValueError(\"Unexpected bias dimensions: \" + t.rank + \"; expected it to be 1 or \" + e.rank);var r,\n        i = t.shape;if (5 === e.rank) \"channelsFirst\" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1, 1, 1])) : e.add(t.reshape([1, i[3], i[0], i[1], i[2]])) : \"channelsLast\" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, 1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else if (4 === e.rank) \"channelsFirst\" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1, 1])) : e.add(t.reshape([1, i[2], i[0], i[1]])) : \"channelsLast\" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else if (3 === e.rank) \"channelsFirst\" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1])) : e.add(t.reshape([1, i[1], i[0]])) : \"channelsLast\" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else {\n      if (!(e.rank < 3)) throw new ValueError(\"Unsupported input rank by biasAdd: \" + e.rank);r = e.add(t);\n    }return r;\n  });\n}function elu$1(e, t) {\n  if (void 0 === t && (t = 1), 1 !== t) throw new NotImplementedError(\"Support for alpha values other than 1 (\" + t + \") is not implemented yet.\");return (0, _tfjsCore.elu)(e);\n}function softsign(e) {\n  return (0, _tfjsCore.tidy)(function () {\n    return (0, _tfjsCore.div)(e, (0, _tfjsCore.add)(getScalar(1), (0, _tfjsCore.abs)(e)));\n  });\n}function dropout(e, t, n, r) {\n  return (0, _tfjsCore.tidy)(function () {\n    if (null != n && !_tfjsCore.util.arraysEqual(e.shape, n)) throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \" + JSON.stringify(n));if (null != r) throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i = (0, _tfjsCore.step)((0, _tfjsCore.add)((0, _tfjsCore.neg)(t), (0, _tfjsCore.randomUniform)(e.shape, 0, 1, \"float32\")));return i = (0, _tfjsCore.mul)((0, _tfjsCore.div)(getScalar(1), (0, _tfjsCore.sub)(getScalar(1), t)), i), (0, _tfjsCore.mul)(e, i);\n  });\n}function nameScope$1(e, t) {\n  return nameScope(e, t);\n}function floatx() {\n  return \"float32\";\n}var _uidPrefixes = {};function getUid(e) {\n  return void 0 === e && (e = \"\"), e in _uidPrefixes || (_uidPrefixes[e] = 0), _uidPrefixes[e] += 1, e + _uidPrefixes[e].toString();\n}function hardSigmoid(e) {\n  return (0, _tfjsCore.tidy)(function () {\n    var t = scalarPlusArray(getScalar(.5), scalarTimesArray(getScalar(.2), e));return (0, _tfjsCore.clipByValue)(t, 0, 1);\n  });\n}function inTrainPhase(e, t, n) {\n  return void 0 === n && (n = !1), n ? e() : t();\n}function calcL2Norms(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return (0, _tfjsCore.sqrt)((0, _tfjsCore.sum)(square(e), t, !0));\n  });\n}var Constraint = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.getConfig = function () {\n    return {};\n  }, t = __decorate([(0, _tfjsCore.doc)({ heading: \"Constraints\", subheading: \"Classes\", namespace: \"constraints\" })], t);\n}(_tfjsCore.serialization.Serializable),\n    MaxNorm = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.defaultMaxValue = 2, n.defaultAxis = 0, n.maxValue = null != t.maxValue ? t.maxValue : n.defaultMaxValue, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      var n = calcL2Norms(e, t.axis),\n          r = (0, _tfjsCore.clipByValue)(n, 0, t.maxValue);return (0, _tfjsCore.mul)(e, (0, _tfjsCore.div)(r, scalarPlusArray(getScalar(epsilon$1()), n)));\n    });\n  }, t.prototype.getConfig = function () {\n    return { maxValue: this.maxValue, axis: this.axis };\n  }, t.className = \"MaxNorm\", t;\n}(Constraint);_tfjsCore.serialization.SerializationMap.register(MaxNorm);var UnitNorm = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.defaultAxis = 0, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      return (0, _tfjsCore.div)(e, scalarPlusArray(getScalar(epsilon$1()), calcL2Norms(e, t.axis)));\n    });\n  }, t.prototype.getConfig = function () {\n    return { axis: this.axis };\n  }, t.className = \"UnitNorm\", t;\n}(Constraint);_tfjsCore.serialization.SerializationMap.register(UnitNorm);var NonNeg = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.relu)(e);\n  }, t.className = \"NonNeg\", t;\n}(Constraint);_tfjsCore.serialization.SerializationMap.register(NonNeg);var MinMaxNorm = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.defaultMinValue = 0, n.defaultMaxValue = 1, n.defaultRate = 1, n.defaultAxis = 0, n.minValue = null != t.minValue ? t.minValue : n.defaultMinValue, n.maxValue = null != t.maxValue ? t.maxValue : n.defaultMaxValue, n.rate = null != t.rate ? t.rate : n.defaultRate, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      var n = calcL2Norms(e, t.axis),\n          r = (0, _tfjsCore.add)(scalarTimesArray(getScalar(t.rate), (0, _tfjsCore.clipByValue)(n, t.minValue, t.maxValue)), scalarTimesArray(getScalar(1 - t.rate), n));return (0, _tfjsCore.mul)(e, (0, _tfjsCore.div)(r, scalarPlusArray(getScalar(epsilon$1()), n)));\n    });\n  }, t.prototype.getConfig = function () {\n    return { minValue: this.minValue, maxValue: this.maxValue, rate: this.rate, axis: this.axis };\n  }, t.className = \"MinMaxNorm\", t;\n}(Constraint);_tfjsCore.serialization.SerializationMap.register(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP = { maxNorm: \"MaxNorm\", minMaxNorm: \"MinMaxNorm\", nonNeg: \"NonNeg\", unitNorm: \"UnitNorm\" };function serializeConstraint(e) {\n  return serializeKerasObject(e);\n}function deserializeConstraint(e, t) {\n  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, \"constraint\");\n}function getConstraint(e) {\n  return null == e ? null : \"string\" == typeof e ? deserializeConstraint({ className: e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP ? CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e, config: {} }) : e instanceof Constraint ? e : deserializeConstraint(e);\n}function deserialize(e, t) {\n  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, \"layer\");\n}function isArrayItemInputOrOutputName(e, t, n) {\n  return (\"inboundNodes\" === e || \"outputLayers\" === e || \"inputLayers\" === e) && 0 === t && \"string\" == typeof n;\n}function convertPythonicToTs(e, t) {\n  if (null === e) return null;if (\"string\" == typeof e) return toCamelCase(e);if (\"number\" == typeof e || \"boolean\" == typeof e) return e;if (e instanceof Array) {\n    for (var n = [], r = e.length, i = 0; i < r; ++i) {\n      var a = e[i];isArrayItemInputOrOutputName(t, i, a) ? n.push(a) : n.push(convertPythonicToTs(a, t));\n    }return n;\n  }for (var o = {}, s = 0, l = Object.keys(e); s < l.length; s++) {\n    var u = l[s],\n        c = e[u];if (\"name\" === u && \"string\" == typeof c) o[u] = c;else {\n      var p = toCamelCase(u);o[p] = convertPythonicToTs(c, p);\n    }\n  }return o;\n}function convertTsToPythonic(e, t) {\n  if (null === e || void 0 === e) return null;if (\"string\" == typeof e) return toSnakeCase(e);if (\"number\" == typeof e || \"boolean\" == typeof e) return e;if (e instanceof Array) {\n    for (var n = [], r = e.length, i = 0; i < r; ++i) {\n      var a = e[i];isArrayItemInputOrOutputName(t, i, a) ? n.push(a) : n.push(convertTsToPythonic(a, t));\n    }return n;\n  }for (var o = {}, s = 0, l = Object.keys(e); s < l.length; s++) {\n    var u = l[s],\n        c = e[u],\n        p = toSnakeCase(u);o[p] = \"name\" !== u && \"className\" !== u || \"string\" != typeof c ? convertTsToPythonic(c, u) : c;\n  }return o;\n}var version = \"0.6.7\",\n    InputSpec = function () {\n  return function (e) {\n    this.dtype = e.dtype, this.shape = e.shape, null != e.shape ? this.ndim = e.shape.length : this.ndim = e.ndim, this.maxNDim = e.maxNDim, this.minNDim = e.minNDim, this.axes = e.axes || {};\n  };\n}(),\n    _nextNodeID = 0,\n    Node = function () {\n  function e(e, t) {\n    this.callArgs = t, this.id = _nextNodeID++, this.outboundLayer = e.outboundLayer, this.inboundLayers = e.inboundLayers, this.nodeIndices = e.nodeIndices, this.tensorIndices = e.tensorIndices, this.inputTensors = e.inputTensors, this.outputTensors = e.outputTensors, this.inputMasks = e.inputMasks, this.outputMasks = e.outputMasks, this.inputShapes = e.inputShapes, this.outputShapes = e.outputShapes;for (var n = 0, r = e.inboundLayers; n < r.length; n++) {\n      var i = r[n];null != i && i.outboundNodes.push(this);\n    }e.outboundLayer.inboundNodes.push(this);\n  }return e.prototype.getConfig = function () {\n    for (var e = [], t = 0, n = this.inboundLayers; t < n.length; t++) {\n      var r = n[t];null != r ? e.push(r.name) : e.push(null);\n    }return { outboundLayer: this.outboundLayer ? this.outboundLayer.name : null, inboundLayers: e, nodeIndices: this.nodeIndices, tensorIndices: this.tensorIndices };\n  }, e;\n}(),\n    _nextLayerID = 0,\n    Layer = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;n._callHook = null, n._addedWeightNames = [], n._stateful = !1, n.id = _nextLayerID++, n.activityRegularizer = null, n.inputSpec = null, n.supportsMasking = !1, n._trainableWeights = [], n._nonTrainableWeights = [], n._losses = [], n._updates = [], n._built = !1, n.inboundNodes = [], n.outboundNodes = [];var r = t.name;if (!r) {\n      var i = n.getClassName();r = toSnakeCase(i) + \"_\" + getUid(i);\n    }if (n.name = r, n.trainable = null == t.trainable || t.trainable, n.updatable = null == t.updatable || t.updatable, null != t.inputShape || null != t.batchInputShape) {\n      var a = void 0;if (null != t.batchInputShape) a = t.batchInputShape;else if (null != t.inputShape) {\n        var o = null;null != t.batchSize && (o = t.batchSize), a = [o].concat(t.inputShape);\n      }n.batchInputShape = a;var s = t.dtype;null == s && (s = t.inputDType), null == s && (s = floatx()), n.dtype = s;\n    }return null != t.weights ? n.initialWeights = t.weights : n.initialWeights = null, n;\n  }return __extends(t, e), t.nodeKey = function (e, t) {\n    return e.name + \"_ib-\" + t.toString();\n  }, t.prototype.getNodeAtIndex = function (e, t) {\n    if (0 === this.inboundNodes.length) throw new RuntimeError(\"The layer has never been called and thus has no defined \" + t + \".\");if (this.inboundNodes.length <= e) throw new ValueError(\"Asked to get \" + t + \" at node \" + e + \", but the layer has only \" + this.inboundNodes.length + \" inbound nodes.\");return this.inboundNodes[e];\n  }, t.prototype.getInputAt = function (e) {\n    return singletonOrArray(this.getNodeAtIndex(e, \"input\").inputTensors);\n  }, t.prototype.getOutputAt = function (e) {\n    return singletonOrArray(this.getNodeAtIndex(e, \"output\").outputTensors);\n  }, Object.defineProperty(t.prototype, \"input\", { get: function () {\n      if (this.inboundNodes.length > 1) throw new AttributeError(\"Layer \" + this.name + ' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if (0 === this.inboundNodes.length) throw new AttributeError(\"Layer \" + this.name + \" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0, \"input\").inputTensors);\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"output\", { get: function () {\n      if (0 === this.inboundNodes.length) throw new AttributeError(\"Layer \" + this.name + \" has no inbound nodes.\");if (this.inboundNodes.length > 1) throw new AttributeError(\"Layer \" + this.name + ' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0, \"output\").outputTensors);\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"losses\", { get: function () {\n      return this._losses;\n    }, enumerable: !0, configurable: !0 }), t.prototype.calculateLosses = function () {\n    return this.losses.map(function (e) {\n      return e();\n    });\n  }, Object.defineProperty(t.prototype, \"updates\", { get: function () {\n      return this._updates;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"built\", { get: function () {\n      return this._built;\n    }, set: function (e) {\n      this._built = e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      return this.trainable ? this._trainableWeights : [];\n    }, set: function (e) {\n      this._trainableWeights = e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      return this.trainable ? this._nonTrainableWeights : this._trainableWeights.concat(this._nonTrainableWeights);\n    }, set: function (e) {\n      this._nonTrainableWeights = e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"weights\", { get: function () {\n      return this.trainableWeights.concat(this.nonTrainableWeights);\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"stateful\", { get: function () {\n      return this._stateful;\n    }, enumerable: !0, configurable: !0 }), t.prototype.assertInputCompatibility = function (e) {\n    if (e = toList(e), null != this.inputSpec && 0 !== this.inputSpec.length) {\n      var t = toList(this.inputSpec);if (e.length !== t.length) throw new ValueError(\"Layer \" + this.name + \" expects \" + t.length + \" inputs, but it received \" + e.length + \" input tensors. Input received: \" + e);for (var n = 0; n < e.length; n++) {\n        var r = e[n],\n            i = t[n];if (null != i) {\n          var a = r.rank;if (null != i.ndim && a !== i.ndim) throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \": expected ndim=\" + i.ndim + \", found ndim=\" + a);if (null != i.maxNDim && a > i.maxNDim) throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \": expected max_ndim=\" + i.maxNDim + \", found ndim=\" + a);if (null != i.minNDim && a < i.minNDim) throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \": expected min_ndim=\" + i.minNDim + \", found ndim=\" + a + \".\");if (null != i.dtype && dtype(r) !== i.dtype) {\n            var o = dtype(r);throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \" : expected dtype=\" + i.dtype + \", found dtype=\" + o + \".\");\n          }if (i.axes) {\n            var s = intShape(r);for (var l in i.axes) {\n              var u = Number(l),\n                  c = i.axes[l],\n                  p = u >= 0 ? s[u] : s[s.length + u];if (null != c && -1 === [c, null].indexOf(p)) throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \": expected axis \" + u + \" of input shape to have value \" + c + \" but got shape \" + s + \".\");\n            }\n          }if (null != i.shape) {\n            s = intShape(r);for (var h = 0; h < i.shape.length; ++h) {\n              var d = i.shape[h],\n                  g = s[h];if (null != d && null != g && d !== g) throw new ValueError(\"Input \" + n + \" is incompatible with layer \" + this.name + \": expected shape=\" + i.shape + \", found shape=${xShape}.\");\n            }\n          }\n        }\n      }\n    }\n  }, t.prototype.call = function (e, t) {\n    return e;\n  }, t.prototype.invokeCallHook = function (e, t) {\n    null != this._callHook && this._callHook(e, t);\n  }, t.prototype.setCallHook = function (e) {\n    this._callHook = e;\n  }, t.prototype.clearCallHook = function () {\n    this._callHook = null;\n  }, t.prototype.apply = function (e, t) {\n    var n = this;t = t || {};for (var r = toList(e), i = !0, a = 0, o = r; a < o.length; a++) {\n      if (!(o[a] instanceof SymbolicTensor)) {\n        i = !1;break;\n      }\n    }for (var s = !0, l = 0, u = r; l < u.length; l++) {\n      if (u[l] instanceof SymbolicTensor) {\n        s = !1;break;\n      }\n    }if (i === s) throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope$1(this.name, function () {\n      if (!n.built) {\n        n.assertInputCompatibility(e);for (var i = [], a = 0, o = toList(e); a < o.length; a++) {\n          var l = o[a];i.push(intShape(l));\n        }n.build(singletonOrArray(i)), n.built = !0, n.initialWeights && n.setWeights(n.initialWeights);\n      }if (n.assertInputCompatibility(e), s) {\n        for (var u = [], c = 0, p = toList(f = n.call(e, t)); c < p.length; c++) {\n          var h = p[c];-1 !== r.indexOf(h) && (h = identity(h)), u.push(h);\n        }if (f = singletonOrArray(u), null != n.activityRegularizer) throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f;\n      }var d = collectInputShape(e),\n          g = n.computeOutputShape(d),\n          f = void 0,\n          m = guessOutputDType(e);if (f = null != g && g.length > 0 && Array.isArray(g[0]) ? g.map(function (r, i) {\n        return new SymbolicTensor(m, r, n, toList(e), t, n.name, i);\n      }) : new SymbolicTensor(m, g, n, toList(e), t, n.name), n.addInboundNode(e, f, null, null, d, g, t), null != n.activityRegularizer) throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f;\n    });\n  }, Object.defineProperty(t.prototype, \"outputShape\", { get: function () {\n      if (null == this.inboundNodes || 0 === this.inboundNodes.length) throw new AttributeError(\"The layer \" + this.name + \" has never been called and thus has no defined output shape.\");for (var e = [], t = 0, n = this.inboundNodes; t < n.length; t++) {\n        var r = n[t],\n            i = JSON.stringify(r.outputShapes);-1 === e.indexOf(i) && e.push(i);\n      }if (1 === e.length) {\n        var a = this.inboundNodes[0].outputShapes;return Array.isArray(a) && Array.isArray(a[0]) && 1 === a.length ? a[0] : a;\n      }throw new AttributeError(\"The layer \" + this.name + ' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.');\n    }, enumerable: !0, configurable: !0 }), t.prototype.countParams = function () {\n    if (!this.built) throw new RuntimeError(\"You tried to call countParams() on \" + this.name + \", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights);\n  }, t.prototype.build = function (e) {\n    this.built = !0;\n  }, t.prototype.getWeights = function (e) {\n    return void 0 === e && (e = !1), batchGetValue(e ? this.trainableWeights : this.weights);\n  }, t.prototype.setWeights = function (e) {\n    var t = this;(0, _tfjsCore.tidy)(function () {\n      var n = t.weights;if (n.length !== e.length) throw new ValueError('You called setWeights(weights) on layer \"' + t.name + '\" with a weight list of length ' + e.length + \", but the layer was expecting \" + n.length + \" weights. Provided weights: \" + e + \"...\");if (0 !== n.length) {\n        for (var r = [], i = batchGetValue(n), a = 0; a < i.length; ++a) {\n          var o = i[a],\n              s = n[a],\n              l = e[a];if (!_tfjsCore.util.arraysEqual(o.shape, l.shape)) throw new ValueError(\"Layer weight shape \" + o.shape + \" not compatible with provided weight shape \" + l.shape);r.push([s, l]);\n        }batchSetValue(r);\n      }\n    });\n  }, t.prototype.addWeight = function (e, t, n, r, i, a, o) {\n    if (-1 !== this._addedWeightNames.indexOf(e)) throw new ValueError(\"Duplicate weight name \" + e + \" for layer \" + this.name);this._addedWeightNames.push(e), null == n && (n = floatx());var s = new LayerVariable(r.apply(t, n), n, e, a, o);return null != i && this.addLoss(function () {\n      return i.apply(s.read());\n    }), null == a && (a = !0), a ? this._trainableWeights.push(s) : this._nonTrainableWeights.push(s), s;\n  }, t.prototype.addLoss = function (e) {\n    var t;null == e || Array.isArray(e) && 0 === e.length || (e = toList(e), void 0 !== this._losses && null !== this._losses && (t = this.losses).push.apply(t, e));\n  }, t.prototype.computeOutputShape = function (e) {\n    return e;\n  }, t.prototype.computeMask = function (e, t) {\n    var n = this;if (!this.supportsMasking) {\n      if (null != t) {\n        if (!Array.isArray(t)) throw new TypeError(\"Layer \" + this.name + \" does not support masking,but was passed an inputMask.\");t.forEach(function (e) {\n          if (null != e) throw new TypeError(\"Layer \" + n.name + \" does not support masking,but was passed an inputMask.\");\n        });\n      }return null;\n    }return t;\n  }, t.prototype.addInboundNode = function (e, t, n, r, i, a, o) {\n    void 0 === o && (o = null);var s = toList(e);t = toList(t), n = toList(n), r = toList(r), i = normalizeShapeList(i), a = normalizeShapeList(a);for (var l = [], u = [], c = [], p = 0, h = s; p < h.length; p++) {\n      var d = h[p];l.push(d.sourceLayer), u.push(d.nodeIndex), c.push(d.tensorIndex);\n    }new Node({ outboundLayer: this, inboundLayers: l, nodeIndices: u, tensorIndices: c, inputTensors: s, outputTensors: t, inputMasks: n, outputMasks: r, inputShapes: i, outputShapes: a }, o);for (var g = 0; g < t.length; g++) t[g].sourceLayer = this, t[g].nodeIndex = this.inboundNodes.length - 1, t[g].tensorIndex = g;\n  }, t.prototype.getConfig = function () {\n    var e = { name: this.name, trainable: this.trainable };return null != this.batchInputShape && (e.batchInputShape = this.batchInputShape), null != this.dtype && (e.dtype = this.dtype), e;\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t.prototype, \"apply\", null), t = __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Classes\", namespace: \"layers\" })], t);\n}(_tfjsCore.serialization.Serializable);function collectInputShape(e) {\n  for (var t = [], n = 0, r = e = toList(e); n < r.length; n++) {\n    var i = r[n];t.push(intShape(i));\n  }return singletonOrArray(t);\n}function guessOutputDType(e) {\n  return \"float32\";\n}var InputLayer = function (e) {\n  function t(t) {\n    var n = e.call(this, { dtype: t.dtype, name: null != t.name ? t.name : getUid(\"input\").toString() }) || this;if (null == t.batchSize && (t.batchSize = null), null == t.sparse && (t.sparse = !1), n.trainable = !1, n.built = !0, n.sparse = t.sparse, null != t.inputShape && null != t.batchInputShape) throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r = t.batchInputShape;if (null == r) {\n      if (null == t.inputShape) throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r = [t.batchSize].concat(t.inputShape);\n    } else if (null != t.batchSize) throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i = t.dtype || floatx();n.batchInputShape = r, n.dtype = i, n.inputSpec = [{ shape: r }];var a = new SymbolicTensor(n.dtype, n.batchInputShape, n, [], {}, n.name);return a.nodeIndex = 0, a.tensorIndex = 0, new Node({ outboundLayer: n, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: [a], outputTensors: [a], inputMasks: [null], outputMasks: [null], inputShapes: [r], outputShapes: [r] }), n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \" + this.name);\n  }, t.prototype.getConfig = function () {\n    return { batchInputShape: this.batchInputShape, dtype: this.dtype, sparse: this.sparse, name: this.name };\n  }, t.className = \"InputLayer\", t;\n}(Layer);function Input(e) {\n  if (null == e.batchShape && null == e.shape) throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if (null != e.batchShape && null != e.shape) throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t = e.batchShape;null != e.shape && null == t && (t = [null].concat(e.shape));var n = e.dtype;return null == n && (n = floatx()), new InputLayer({ batchInputShape: t, name: e.name, dtype: n, sparse: e.sparse }).inboundNodes[0].outputTensors[0];\n}_tfjsCore.serialization.SerializationMap.register(InputLayer);var Container = function (e) {\n  function t(n) {\n    var r = e.call(this, {}) || this;if (r.containerNodes = new Set(), r.name = n.name, null == r.name) {\n      var i = r.getClassName().toLowerCase();r.name = getUid(i);\n    }if (r.supportsMasking = !1, r.trainable = !0, r.updatable = !0, Array.isArray(n.inputs) ? r.inputs = n.inputs.slice() : r.inputs = [n.inputs], Array.isArray(n.outputs) ? r.outputs = n.outputs.slice() : r.outputs = [n.outputs], unique(r.inputs).length !== r.inputs.length) throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \" + r.inputs.map(function (e) {\n      return e.name;\n    }));unique(r.outputs).length !== r.outputs.length && console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \" + r.outputs.map(function (e) {\n      return e.name;\n    })), r.inputLayers = [], r.inputLayersNodeIndices = [], r.inputLayersTensorIndices = [], r.outputLayers = [], r.outputLayersNodeIndices = [], r.outputLayersTensorIndices = [], r.layers = [];for (var a = 0, o = r.outputs; a < o.length; a++) {\n      var s = (N = o[a]).sourceLayer,\n          l = N.nodeIndex,\n          u = N.tensorIndex;r.outputLayers.push(s), r.outputLayersNodeIndices.push(l), r.outputLayersTensorIndices.push(u);\n    }for (var c = 0, p = r.inputs; c < p.length; c++) {\n      s = (N = p[c]).sourceLayer, l = N.nodeIndex, u = N.tensorIndex;assert(0 === l, \"input layer has >1 nodes\"), assert(0 === u, \"input layer has >1 tensors\"), r.inputLayers.push(s), r.inputLayersNodeIndices.push(l), r.inputLayersTensorIndices.push(u);\n    }r.inputNames = [], r.outputNames = [], r.feedInputShapes = [], r.feedInputNames = [], r.feedOutputNames = [];for (var h = 0; h < r.inputLayers.length; h++) {\n      if (!((s = r.inputLayers[h]) instanceof InputLayer)) throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \" + n.inputs + \". Input \" + h + \" (0-based) originates from layer type \" + s.getClassName() + \".\");r.inputNames.push(s.name), r.feedInputShapes.push(s.batchInputShape), r.feedInputNames.push(s.name);\n    }for (var d = 0, g = r.outputLayers; d < g.length; d++) {\n      s = g[d];r.outputNames.push(s.name);\n    }r.internalInputShapes = r.inputs.map(function (e) {\n      return e.shape;\n    }), r.internalOutputShapes = r.outputs.map(function (e) {\n      return e.shape;\n    });for (var f = {}, m = {}, y = {}, v = {}, b = {}, z = [], w = function (e, n, i, a, o, s) {\n      null != a && null != o && null != s || (a = e.sourceLayer, o = e.nodeIndex, s = e.tensorIndex);var l = a.inboundNodes[o];if (-1 !== i.indexOf(l)) throw new RuntimeError(\"The tensor \" + e.name + ' at layer \"' + a.name + '\" is part of a cycle.');if (-1 === n.indexOf(l)) {\n        r.containerNodes.add(t.nodeKey(a, o)), (a.id in b) || (b[a.id] = Object.keys(b).length), -1 === i.indexOf(l) && i.push(l);for (var u = l.inboundLayers.length, c = 0; c < u; c++) {\n          var p = l.inputTensors[c],\n              h = l.inboundLayers[c],\n              d = l.nodeIndices[c],\n              g = l.tensorIndices[c];w(p, n, i, h, d, g);\n        }for (n.push(l); i.indexOf(l) >= 0;) i.splice(i.indexOf(l), 1);z.push(l);\n      }\n    }, S = [], I = [], _ = 0, A = r.outputs; _ < A.length; _++) {\n      var N = A[_];w(N, S, I);\n    }for (var E = 0, L = z.slice().reverse(); E < L.length; E++) {\n      m[(H = L[E]).id] = H, H.id in f || (f[H.id] = 0);var C = f[H.id],\n          x = null == y[H.outboundLayer.id] ? 0 : y[H.outboundLayer.id];C = Math.max(C, x), y[H.outboundLayer.id] = C, v[H.outboundLayer.id] = H.outboundLayer, f[H.id] = C;for (h = 0; h < H.inboundLayers.length; h++) {\n        var k = H.inboundLayers[h],\n            T = (l = H.nodeIndices[h], k.inboundNodes[l]),\n            R = null == f[T.id] ? 0 : f[T.id];f[T.id] = Math.max(C + 1, R), m[T.id] = T;\n      }\n    }var D = {};for (var O in f) {\n      (C = f[O]) in D || (D[C] = []), D[C].push(m[O]);\n    }var M = {};for (var F in y) {\n      (C = y[F]) in M || (M[C] = []), M[C].push(v[F]);\n    }var P = Object.keys(M).map(function (e) {\n      return parseInt(e, 10);\n    }).sort(reverseNumberCompare);r.layers = [];for (var V = 0, B = P; V < B.length; V++) {\n      var U = M[C = B[V]];U.sort(function (e, t) {\n        var n = b[e.id],\n            r = b[t.id];return n < r ? -1 : n > r ? 1 : 0;\n      });for (var W = 0, j = U; W < j.length; W++) {\n        s = j[W];r.layers.push(s);\n      }\n    }r.layersByDepth = M, P = Object.keys(D).map(function (e) {\n      return parseInt(e, 10);\n    }).sort(reverseNumberCompare);for (var q = r.inputs.slice(), G = [], $ = 0, Z = P; $ < Z.length; $++) for (var J = 0, K = D[C = Z[$]]; J < K.length; J++) {\n      var H;if (null != (s = (H = K[J]).outboundLayer)) {\n        for (var Y = 0, X = H.inputTensors; Y < X.length; Y++) {\n          N = X[Y];if (-1 === q.indexOf(N)) throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \" + N + ' at layer \"' + s.name + '\". The following previous layers were accessed without issue: ' + G);\n        }for (var Q = 0, ee = H.outputTensors; Q < ee.length; Q++) {\n          N = ee[Q];q.push(N);\n        }G.push(s.name);\n      }\n    }r.nodesByDepth = D;for (var te = r.layers.map(function (e) {\n      return e.name;\n    }), ne = function (e) {\n      var t = te.filter(function (t) {\n        return t === e;\n      }).length;if (1 !== t) throw new RuntimeError('The name \"' + e + '\" is used ' + t + \" times in the model. All layer names should be unique. Layer names: \" + JSON.stringify(te));\n    }, re = 0, ie = te; re < ie.length; re++) {\n      ne(ie[re]);\n    }return r.outboundNodes = [], r.inboundNodes = [], new Node({ outboundLayer: r, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: r.inputs, outputTensors: r.outputs, inputMasks: r.inputs.map(function (e) {\n        return null;\n      }), outputMasks: r.outputs.map(function (e) {\n        return null;\n      }), inputShapes: r.inputs.map(function (e) {\n        return e.shape;\n      }), outputShapes: r.outputs.map(function (e) {\n        return e.shape;\n      }) }), r.built = !0, r;\n  }return __extends(t, e), Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      if (this._trainableWeights.length > 0) throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if (!this.trainable) return [];for (var e = [], t = 0, n = this.layers; t < n.length; t++) {\n        var r = n[t];e = e.concat(r.trainableWeights);\n      }return e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      for (var e = [], t = 0, n = this.layers; t < n.length; t++) {\n        var r = n[t];e.push.apply(e, r.nonTrainableWeights);\n      }if (!this.trainable) {\n        for (var i = [], a = 0, o = this.layers; a < o.length; a++) {\n          r = o[a];i.push.apply(i, r.trainableWeights);\n        }return i.concat(e);\n      }return e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"weights\", { get: function () {\n      return this.trainableWeights.concat(this.nonTrainableWeights);\n    }, enumerable: !0, configurable: !0 }), t.prototype.loadWeights = function (e, t, n) {\n    void 0 === t && (t = !1), void 0 === n && (n = !1), n ? loadWeightsFromNamedTensorMap(e, this.layers) : loadWeightsFromJson(e, this.layers, t);\n  }, t.prototype.updatedConfig = function () {\n    var e = this.getConfig();return { className: this.getClassName(), config: e, kerasVersion: \"tfjs-layers \" + version, backend: \"TensorFlow.js\" };\n  }, t.prototype.toJSON = function (e, t) {\n    void 0 === t && (t = !0);var n = convertTsToPythonic(this.updatedConfig());return t ? JSON.stringify(n) : n;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var r;return e = toList(e), r = \"mask\" in t ? toList(t.mask) : pyListRepeat(null, e.length), n.runInternalGraph(e, r)[0];\n    });\n  }, t.prototype.computeMask = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var r;return e = toList(e), r = null == t ? pyListRepeat(null, e.length) : toList(t), n.runInternalGraph(e, r)[1];\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    var t = normalizeShapeList(e);if (t.length !== this.inputLayers.length) throw new ValueError(\"Invalid inputShape argument \" + e + \": model has \" + this.inputLayers.length + \" tensor inputs.\");for (var n = {}, r = 0; r < t.length; r++) {\n      var i = this.inputLayers[r],\n          a = t[r];n[I = i.name + \"_0_0\"] = a;\n    }var o = Object.keys(this.nodesByDepth).map(function (e) {\n      return parseInt(e, 10);\n    }).sort(reverseNumberCompare);if (o.length > 1) for (var s = 0, l = o; s < l.length; s++) for (var u = l[s], c = 0, p = this.nodesByDepth[u]; c < p.length; c++) {\n      var h = p[c];i = h.outboundLayer;if (-1 === this.inputLayers.map(function (e) {\n        return e.id;\n      }).indexOf(i.id)) {\n        for (var d = [], g = 0; g < h.inboundLayers.length; g++) {\n          var f = h.inboundLayers[g],\n              m = h.nodeIndices[g],\n              y = h.tensorIndices[g],\n              v = n[I = f.name + \"_\" + m + \"_\" + y];d.push(v);\n        }var b = normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),\n            z = i.inboundNodes.indexOf(h);for (g = 0; g < b.length; g++) {\n          n[I = i.name + \"_\" + z + \"_\" + g] = b[g];\n        }\n      }\n    }var w = [],\n        S = [];for (r = 0; r < this.outputLayers.length; r++) {\n      i = this.outputLayers[r], z = this.outputLayersNodeIndices[r], y = this.outputLayersTensorIndices[r];var I = i.name + \"_\" + z + \"_\" + y;S.push(I);\n    }for (r = 0; r < S.length; r++) {\n      var _ = S[r];assert(_ in n), w.push(n[_]);\n    }return singletonOrArray(w);\n  }, t.prototype.runInternalGraph = function (e, t) {\n    null == t && (t = pyListRepeat(null, e.length));for (var n = {}, r = 0; r < this.inputs.length; ++r) {\n      var i = this.inputs[r],\n          a = e[r],\n          o = t[r];n[i.id] = [a, o];\n    }for (var s = 0, l = Object.keys(this.nodesByDepth).map(function (e) {\n      return parseInt(e, 10);\n    }).sort(reverseNumberCompare); s < l.length; s++) for (var u = l[s], c = 0, p = this.nodesByDepth[u]; c < p.length; c++) {\n      for (var h = p[c], d = h.outboundLayer, g = h.inputTensors, f = h.outputTensors, m = new Array(), y = 0, v = g; y < v.length; y++) {\n        (i = v[y]).id in n && m.push(n[i.id]);\n      }if (m.length === g.length) {\n        var b = {},\n            z = void 0,\n            w = void 0,\n            S = void 0,\n            I = void 0;if (null != h.callArgs && (b = h.callArgs), 1 === m.length) {\n          var _ = m[0],\n              A = _[0],\n              N = _[1];null == b.mask && (b.mask = N), S = toList(d.call(A, b)), I = toList(d.computeMask(A, N)), z = [A], w = [N];\n        } else z = m.map(function (e) {\n          return e[0];\n        }), w = m.map(function (e) {\n          return e[1];\n        }), null == b.mask && (b.mask = w), S = toList(d.call(z, b)), I = toList(d.computeMask(z, w));if (d.activityRegularizer) throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for (r = 0; r < f.length; ++r) {\n          i = f[r], a = S[r], o = I[r];n[i.id] = [a, o];\n        }\n      }\n    }for (var E = [], L = [], C = [], x = 0, k = this.outputs; x < k.length; x++) {\n      assert((i = k[x]).id in n, \"Could not compute output \" + i.name + \" : \" + i.id);var T = n[i.id],\n          R = T[0];o = T[1];C.push(R.shape), E.push(R), L.push(o);\n    }return [E, L, C];\n  }, t.prototype.buildNodeConversionMap = function (e) {\n    for (var n, r = {}, i = 0, a = this.layers; i < a.length; i++) {\n      var o = a[i];n = o instanceof t ? 1 : 0;for (var s = 0; s < o.inboundNodes.length; s++) {\n        var l = t.nodeKey(o, s);l in this.containerNodes && (r[l] = n, n += 1);\n      }\n    }return r;\n  }, t.prototype.getLayer = function (e, t) {\n    if (null != t) {\n      if (this.layers.length <= t) throw new ValueError(\"Was asked to retrieve layer at index \" + t + \", but model only has \" + this.layers.length + \" layer(s).\");return this.layers[t];\n    }if (null == e) throw new ValueError(\"Provide either a layer name or layer index\");for (var n = 0, r = this.layers; n < r.length; n++) {\n      var i = r[n];if (i.name === e) return i;\n    }throw new ValueError(\"No such layer: \" + e);\n  }, t.prototype.calculateLosses = function () {\n    var e = this;return (0, _tfjsCore.tidy)(function () {\n      for (var n = [], r = 0, i = e.layers; r < i.length; r++) for (var a = i[r], o = 0; o < a.inboundNodes.length; ++o) {\n        var s = t.nodeKey(a, o);e.containerNodes.has(s) && n.push.apply(n, a.calculateLosses());\n      }return n;\n    });\n  }, t.prototype.getConfig = function () {\n    for (var e = { name: this.name }, n = this.buildNodeConversionMap(this.layers), r = [], i = 0, a = this.layers; i < a.length; i++) {\n      for (var o = (b = a[i]).getClassName(), s = b.getConfig(), l = [], u = 0; u < b.inboundNodes.length; u++) {\n        var c = b.inboundNodes[u],\n            p = t.nodeKey(b, u),\n            h = {};if (this.containerNodes.has(p)) {\n          if (c.callArgs) -1 === JSON.stringify(c.callArgs).indexOf(\"undefined\") ? h = c.callArgs : (console.warn(\"Layer \" + b.name + \" was passed non-serializable keyword arguments: \" + c.callArgs + \". They will not be included in the serialized model (and thus will be missing at deserialization time).\"), h = {});if (c.inboundLayers.length > 0) {\n            for (var d = [], g = 0; g < c.inboundLayers.length; g++) {\n              var f = c.inboundLayers[g],\n                  m = c.nodeIndices[g],\n                  y = c.tensorIndices[g];null !== (w = n[t.nodeKey(f, m)]) && void 0 !== w || (w = 0), d.push([f.name, w, y, h]);\n            }l.push(d);\n          }\n        }\n      }r.push({ name: b.name, className: o, config: s, inboundNodes: l });\n    }e.layers = r;var v = [];for (g = 0; g < this.inputLayers.length; g++) {\n      var b = this.inputLayers[g];m = this.inputLayersNodeIndices[g], p = t.nodeKey(b, m);if (this.containerNodes.has(p)) {\n        null !== (w = n[p]) && void 0 !== w || (w = 0);y = this.inputLayersTensorIndices[g];v.push([b.name, w, y]);\n      }\n    }e.inputLayers = v;var z = [];for (g = 0; g < this.outputLayers.length; g++) {\n      b = this.outputLayers[g], m = this.outputLayersNodeIndices[g], p = t.nodeKey(b, m);if (this.containerNodes.has(p)) {\n        var w;null !== (w = n[p]) && void 0 !== w || (w = 0);y = this.outputLayersTensorIndices[g];z.push([b.name, w, y]);\n      }\n    }return e.outputLayers = z, e;\n  }, t.fromConfig = function (e, t) {\n    var n = {},\n        r = {};function i(e, t) {\n      e.name in r ? r[e.name].push(t) : r[e.name] = [t];\n    }function a(e, t) {\n      for (var r, a = [], o = 0, s = t; o < s.length; o++) {\n        var l = s[o],\n            u = l[0],\n            c = l[1],\n            p = l[2];if (3 === l.length) r = {};else {\n          if (4 !== l.length) throw new ValueError(\"Improperly formatted model config for layer \" + JSON.stringify(e) + \": \" + JSON.stringify(l));r = l[3];\n        }if (!(u in n)) return void i(e, t);var h = n[u];if (h.inboundNodes.length <= c) return void i(e, t);var d = h.inboundNodes[c];a.push(d.outputTensors[p]);\n      }a.length > 0 && e.apply(singletonOrArray(a), r);\n    }function o(e) {\n      var r = e.name,\n          a = deserialize(e, null != t.customObjects ? t.customObjects : {});n[r] = a;for (var o = 0, s = e.inboundNodes; o < s.length; o++) {\n        var l = s[o];if (!(l instanceof Array)) throw new ValueError(\"Corrupted configuration, expected array for nodeData: \" + l);i(a, l);\n      }\n    }for (var s = t.name, l = t.layers, u = 0, c = l; u < c.length; u++) {\n      o(d = c[u]);\n    }for (; !isObjectEmpty(r);) for (var p = 0, h = l; p < h.length; p++) {\n      var d = h[p];if ((N = n[d.name]).name in r) {\n        for (var g = 0, f = r[N.name]; g < f.length; g++) {\n          a(N, f[g]);\n        }delete r[N.name];\n      }\n    }for (var m = [], y = [], v = 0, b = t.inputLayers; v < b.length; v++) {\n      var z = (d = b[v])[0],\n          w = d[1],\n          S = d[2];assert(z in n);var I = (N = n[z]).inboundNodes[w].outputTensors;m.push(I[S]);\n    }for (var _ = 0, A = t.outputLayers; _ < A.length; _++) {\n      z = (d = A[_])[0], w = d[1], S = d[2];assert(z in n);var N;I = (N = n[z]).inboundNodes[w].outputTensors;y.push(I[S]);\n    }return new e({ inputs: m, outputs: y, name: s });\n  }, Object.defineProperty(t.prototype, \"stateful\", { get: function () {\n      if (this._stateful) throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for (var e = 0, t = this.layers; e < t.length; e++) {\n        if (t[e].stateful) return !0;\n      }return !1;\n    }, enumerable: !0, configurable: !0 }), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Classes\", namespace: \"layers\", subclasses: [\"Model\"] })], t.prototype, \"getLayer\", null), t;\n}(Layer);function getSourceInputs(e, t, n) {\n  if ((null == t || null != n && n > 0) && (t = e.sourceLayer, n = e.nodeIndex), 0 === t.inboundNodes.length) return [e];var r = t.inboundNodes[n];if (0 === r.inboundLayers.length) return r.inputTensors;for (var i = [], a = 0; a < r.inboundLayers.length; a++) for (var o = 0, s = getSourceInputs(r.inputTensors[a], r.inboundLayers[a], r.nodeIndices[a]); o < s.length; o++) {\n    var l = s[o];-1 === i.indexOf(l) && i.push(l);\n  }return i;\n}function loadTensor(e, t, n) {\n  var r = stringToDType(e);return _tfjsCore.Tensor.make(t, { values: 0 === t.length ? n : _tfjsCore.util.flatten(n) }, r);\n}function preprocessWeightsForLoading(e, t, n, r) {\n  if (!n.startsWith(\"2.\")) throw new ValueError(\"Unsupported Keras version in weights being loaded: \" + n);return t;\n}function loadWeightsFromNamedTensorMap(e, t) {\n  for (var n = {}, r = 0, i = 0, a = t; i < a.length; i++) for (var o = 0, s = a[i].weights; o < s.length; o++) {\n    var l = s[o];if (null != n[l.originalName]) throw new ValueError(\"Duplicate weight name: \" + l.originalName);n[l.originalName] = l, r++;\n  }var u = [];for (var c in e) u.push([n[c], e[c]]), delete n[c];var p = [];for (var h in n) p.push(h);if (p.length > 0) throw new ValueError(p.length + \" of \" + r + \" weights are not set: \" + p);batchSetValue(u);\n}function loadWeightsFromJson(e, t, n) {\n  void 0 === n && (n = !1);for (var r = e.keras_version, i = e.backend, a = t.map(function (e) {\n    return e.name;\n  }), o = {}, s = 0, l = t; s < l.length; s++) {\n    null != (b = l[s]).name && (null == o[b.name] && (o[b.name] = []), o[b.name].push(b));\n  }for (var u = e.weights, c = [], p = 0; p < a.length; ++p) {\n    var h = a[p],\n        d = u[h];null == d && (d = []);for (var g = [], f = 0; f < d.length; ++f) {\n      var m = d[f];g.push(new LayerVariable(loadTensor(m.dtype, m.shape, m.value)));\n    }for (var y = 0, v = o[h]; y < v.length; y++) {\n      var b,\n          z = (b = v[y]).weights;if ((g = preprocessWeightsForLoading(b, g, r, i)).length !== z.length) {\n        if (!n) throw new ValueError(\"Layer #\" + p + ' (named \"' + b.name + '\") expects ' + z.length + \" weight(s), but the saved weights have \" + g.length + \" element(s).\");console.warn(\"Skipping loading of weights of layer \" + b.name + \" due to mismatch in number of weights: (\" + g.length + \" vs \" + z.length + \").\");\n      }for (var w = 0; w < g.length; ++w) !n || _tfjsCore.util.arraysEqual(z[w].shape, g[w].shape) ? c.push([z[w], g[w].read()]) : console.warn(\"Skipping loading of weights for layer \" + b.name + \" due to mismatch in shape (\" + z[w].shape + \" vs \" + g[w].shape + \")\");\n    }\n  }batchSetValue(c);\n}var Callback = function () {\n  function e() {\n    this.validationData = null, this.model = null;\n  }return e.prototype.setParams = function (e) {\n    this.params = e;\n  }, e.prototype.setModel = function (e) {\n    this.model = e;\n  }, e.prototype.onEpochBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e.prototype.onEpochEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e.prototype.onBatchBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e.prototype.onBatchEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e.prototype.onTrainBegin = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e.prototype.onTrainEnd = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return [2];\n      });\n    });\n  }, e;\n}(),\n    CallbackList = function () {\n  function e(e, t) {\n    void 0 === t && (t = 10), null == e && (e = []), this.callbacks = e, this.queueLength = t;\n  }return e.prototype.append = function (e) {\n    this.callbacks.push(e);\n  }, e.prototype.setParams = function (e) {\n    for (var t = 0, n = this.callbacks; t < n.length; t++) {\n      n[t].setParams(e);\n    }\n  }, e.prototype.setModel = function (e) {\n    for (var t = 0, n = this.callbacks; t < n.length; t++) {\n      n[t].setModel(e);\n    }\n  }, e.prototype.onEpochBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r;return __generator(this, function (i) {\n        switch (i.label) {case 0:\n            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:\n            return n < r.length ? [4, r[n].onEpochBegin(e, t)] : [3, 4];case 2:\n            i.sent(), i.label = 3;case 3:\n            return n++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e.prototype.onEpochEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r;return __generator(this, function (i) {\n        switch (i.label) {case 0:\n            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:\n            return n < r.length ? [4, r[n].onEpochEnd(e, t)] : [3, 4];case 2:\n            i.sent(), i.label = 3;case 3:\n            return n++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e.prototype.onBatchBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r;return __generator(this, function (i) {\n        switch (i.label) {case 0:\n            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:\n            return n < r.length ? [4, r[n].onBatchBegin(e, t)] : [3, 4];case 2:\n            i.sent(), i.label = 3;case 3:\n            return n++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e.prototype.onBatchEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r;return __generator(this, function (i) {\n        switch (i.label) {case 0:\n            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:\n            return n < r.length ? [4, r[n].onBatchEnd(e, t)] : [3, 4];case 2:\n            i.sent(), i.label = 3;case 3:\n            return n++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e.prototype.onTrainBegin = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n;return __generator(this, function (r) {\n        switch (r.label) {case 0:\n            null == e && (e = {}), t = 0, n = this.callbacks, r.label = 1;case 1:\n            return t < n.length ? [4, n[t].onTrainBegin(e)] : [3, 4];case 2:\n            r.sent(), r.label = 3;case 3:\n            return t++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e.prototype.onTrainEnd = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      var t, n;return __generator(this, function (r) {\n        switch (r.label) {case 0:\n            null == e && (e = {}), t = 0, n = this.callbacks, r.label = 1;case 1:\n            return t < n.length ? [4, n[t].onTrainEnd(e)] : [3, 4];case 2:\n            r.sent(), r.label = 3;case 3:\n            return t++, [3, 1];case 4:\n            return [2];}\n      });\n    });\n  }, e;\n}(),\n    BaseLogger = function (e) {\n  function t() {\n    return e.call(this) || this;\n  }return __extends(t, e), t.prototype.onEpochBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return this.seen = 0, this.totals = {}, [2];\n      });\n    });\n  }, t.prototype.onBatchEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var e,\n          n,\n          r,\n          i,\n          a = this;return __generator(this, function (o) {\n        for (i in null == t && (t = {}), e = null == t.size ? 0 : t.size, this.seen += e, n = function (n) {\n          var i = t[n];if (\"number\" == typeof i) r.totals.hasOwnProperty(n) || (r.totals[n] = 0), r.totals[n] = r.totals[n] + i * e;else {\n            var o = void 0;n in r.totals ? o = r.totals[n] : r.totals[n] = getScalar(0), r.totals[n] = (0, _tfjsCore.tidy)(function () {\n              return scalarPlusArray(a.totals[n], (0, _tfjsCore.mul)(i, getScalar(e)));\n            }), null != o && o.dispose();\n          }\n        }, r = this, t) n(i);return [2];\n      });\n    });\n  }, t.prototype.onEpochEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var e,\n          n,\n          r,\n          i,\n          a,\n          o = this;return __generator(this, function (s) {\n        if (null != t) for (e = function (e) {\n          if (null == n.totals[e]) return \"continue\";\"number\" == typeof n.totals[e] ? t[e] = n.totals[e] / n.seen : (0, _tfjsCore.tidy)(function () {\n            t[e] = scalarTimesArray((0, _tfjsCore.div)(getScalar(1), getScalar(o.seen)), o.totals[e]), o.totals[e].dispose(), (0, _tfjsCore.keep)(t[e]);\n          });\n        }, n = this, r = 0, i = this.params.metrics; r < i.length; r++) a = i[r], e(a);return [2];\n      });\n    });\n  }, t;\n}(Callback);function resolveScalarsInLogs(e) {\n  return __awaiter(this, void 0, void 0, function () {\n    var t, n, r, i, a, o, s;return __generator(this, function (l) {\n      switch (l.label) {case 0:\n          if (null == e) return [2];for (r in t = [], n = [], e) \"number\" != typeof (i = e[r]) && (a = i, t.push(a.data()), n.push(r));return [4, Promise.all(t)];case 1:\n          for (o = l.sent(), s = 0; s < o.length; ++s) e[n[s]] = o[s][0];return [2];}\n    });\n  });\n}function disposeTensorsInLogs(e) {\n  if (null != e) for (var t in e) {\n    var n = e[t];\"number\" != typeof n && n.dispose();\n  }\n}var History = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.onTrainBegin = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (e) {\n        return this.epoch = [], this.history = {}, [2];\n      });\n    });\n  }, t.prototype.onEpochEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n;return __generator(this, function (r) {\n        for (n in null == t && (t = {}), this.epoch.push(e), t) null == this.history[n] && (this.history[n] = []), this.history[n].push(t[n]);return [2];\n      });\n    });\n  }, t.prototype.syncData = function () {\n    return __awaiter(this, void 0, void 0, function () {\n      var e, t, n, r, i, a, o, s, l;return __generator(this, function (u) {\n        switch (u.label) {case 0:\n            for (r in e = [], t = [], n = [], this.history) for (i = this.history[r], a = 0; a < i.length; ++a) \"number\" != typeof i[a] && (o = i[a], e.push(o.data()), t.push(r), n.push(a));return [4, Promise.all(e)];case 1:\n            for (s = u.sent(), l = 0; l < s.length; ++l) this.history[t[l]][n[l]].dispose(), this.history[t[l]][n[l]] = s[l][0];return [2];}\n      });\n    });\n  }, t;\n}(Callback),\n    CustomCallback = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.trainBegin = t.onTrainBegin, n.trainEnd = t.onTrainEnd, n.epochBegin = t.onEpochBegin, n.epochEnd = t.onEpochEnd, n.batchBegin = t.onBatchBegin, n.batchEnd = t.onBatchEnd, n;\n  }return __extends(t, e), t.prototype.onEpochBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return null == this.epochBegin ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:\n            return n.sent(), [4, this.epochBegin(e, t)];case 2:\n            n.sent(), n.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t.prototype.onEpochEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return null == this.epochEnd ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:\n            return n.sent(), [4, this.epochEnd(e, t)];case 2:\n            n.sent(), n.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t.prototype.onBatchBegin = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return null == this.batchBegin ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:\n            return n.sent(), [4, this.batchBegin(e, t)];case 2:\n            n.sent(), n.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t.prototype.onBatchEnd = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (n) {\n        switch (n.label) {case 0:\n            return null == this.batchEnd ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:\n            return n.sent(), [4, this.batchEnd(e, t)];case 2:\n            n.sent(), n.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t.prototype.onTrainBegin = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (t) {\n        switch (t.label) {case 0:\n            return null == this.trainBegin ? [3, 3] : [4, resolveScalarsInLogs(e)];case 1:\n            return t.sent(), [4, this.trainBegin(e)];case 2:\n            t.sent(), t.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t.prototype.onTrainEnd = function (e) {\n    return __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (t) {\n        switch (t.label) {case 0:\n            return null == this.trainEnd ? [3, 3] : [4, resolveScalarsInLogs(e)];case 1:\n            return t.sent(), [4, this.trainEnd(e)];case 2:\n            t.sent(), t.label = 3;case 3:\n            return [2];}\n      });\n    });\n  }, t;\n}(Callback);function standardizeCallbacks(e) {\n  return null == e ? null : e instanceof Callback ? [e] : Array.isArray(e) && e[0] instanceof Callback ? e : toList(e).map(function (e) {\n    return new CustomCallback(e);\n  });\n}function l2Normalize(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = (0, _tfjsCore.sum)(square(e), t, !0),\n        r = scalarTimesArray((0, _tfjsCore.scalar)(epsilon$1()), (0, _tfjsCore.onesLike)(e)),\n        i = (0, _tfjsCore.sqrt)((0, _tfjsCore.maximum)(n, r));return (0, _tfjsCore.div)(e, i);\n  });\n}function meanSquaredError(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return (0, _tfjsCore.mean)(square((0, _tfjsCore.sub)(t, e)), -1);\n  });\n}function meanAbsoluteError(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return (0, _tfjsCore.mean)((0, _tfjsCore.abs)((0, _tfjsCore.sub)(t, e)), -1);\n  });\n}function meanAbsolutePercentageError(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = (0, _tfjsCore.sub)(e, t),\n        r = (0, _tfjsCore.clipByValue)((0, _tfjsCore.abs)(e), epsilon$1(), Number.MAX_VALUE),\n        i = (0, _tfjsCore.abs)((0, _tfjsCore.div)(n, r));return scalarTimesArray(getScalar(100), (0, _tfjsCore.mean)(i, -1));\n  });\n}function meanSquaredLogarithmicError(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = getScalar(1),\n        r = (0, _tfjsCore.clipByValue)(t, epsilon$1(), Number.MAX_VALUE),\n        i = (0, _tfjsCore.log)(scalarPlusArray(n, r)),\n        a = (0, _tfjsCore.clipByValue)(e, epsilon$1(), Number.MAX_VALUE),\n        o = (0, _tfjsCore.log)(scalarPlusArray(n, a));return (0, _tfjsCore.mean)(square((0, _tfjsCore.sub)(i, o)), -1);\n  });\n}function squaredHinge(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = getScalar(0),\n        r = getScalar(1),\n        i = (0, _tfjsCore.maximum)(n, (0, _tfjsCore.sub)(r, (0, _tfjsCore.mul)(e, t)));return (0, _tfjsCore.mean)(square(i), -1);\n  });\n}function hinge(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = getScalar(0),\n        r = getScalar(1),\n        i = (0, _tfjsCore.maximum)(n, (0, _tfjsCore.sub)(r, (0, _tfjsCore.mul)(e, t)));return (0, _tfjsCore.mean)(i, -1);\n  });\n}function categoricalHinge(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = getScalar(0),\n        r = getScalar(1),\n        i = (0, _tfjsCore.sum)((0, _tfjsCore.mul)(e, t), -1),\n        a = (0, _tfjsCore.max)((0, _tfjsCore.mul)((0, _tfjsCore.sub)(r, e), t), -1);return (0, _tfjsCore.maximum)(n, scalarPlusArray(r, (0, _tfjsCore.sub)(a, i)));\n  });\n}function logcosh(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = getScalar(Math.log(2)),\n        r = (0, _tfjsCore.sub)(t, e),\n        i = (0, _tfjsCore.sub)((0, _tfjsCore.add)(r, (0, _tfjsCore.softplus)(scalarTimesArray(getScalar(-2), r))), n);return (0, _tfjsCore.mean)(i, -1);\n  });\n}function categoricalCrossentropy(e, t, n) {\n  return void 0 === n && (n = !1), (0, _tfjsCore.tidy)(function () {\n    if (n) t = (0, _tfjsCore.softmax)(t);else {\n      var r = (0, _tfjsCore.sum)(t, shape(t).length - 1, !0);t = (0, _tfjsCore.div)(t, r);\n    }return t = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1 - epsilon$1()), (0, _tfjsCore.neg)((0, _tfjsCore.sum)((0, _tfjsCore.mul)(e.toFloat(), (0, _tfjsCore.log)(t)), shape(t).length - 1));\n  });\n}function sparseCategoricalCrossentropy(e, t, n) {\n  return void 0 === n && (n = !1), (0, _tfjsCore.tidy)(function () {\n    var r = (0, _tfjsCore.floor)(flatten(e)).toInt(),\n        i = shape(t);return categoricalCrossentropy((0, _tfjsCore.oneHot)(r, i[i.length - 1]).reshape(i), t, n);\n  });\n}function sigmoidCrossEntropyWithLogits(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = (0, _tfjsCore.maximum)(t, (0, _tfjsCore.zerosLike)(t)),\n        r = (0, _tfjsCore.mul)(t, e),\n        i = (0, _tfjsCore.log)((0, _tfjsCore.add)(getScalar(1), (0, _tfjsCore.exp)((0, _tfjsCore.neg)((0, _tfjsCore.abs)(t)))));return (0, _tfjsCore.add)((0, _tfjsCore.sub)(n, r), i);\n  });\n}function binaryCrossentropy(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n;return n = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1 - epsilon$1()), n = (0, _tfjsCore.log)((0, _tfjsCore.div)(n, (0, _tfjsCore.sub)((0, _tfjsCore.onesLike)(n), n))), (0, _tfjsCore.mean)(sigmoidCrossEntropyWithLogits(e, n), -1);\n  });\n}function kullbackLeiblerDivergence(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = (0, _tfjsCore.clipByValue)(e, epsilon$1(), 1),\n        r = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1);return (0, _tfjsCore.sum)((0, _tfjsCore.mul)(e, (0, _tfjsCore.log)((0, _tfjsCore.div)(n, r))), -1);\n  });\n}function poisson(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = (0, _tfjsCore.log)(scalarPlusArray(getScalar(epsilon$1()), t));return (0, _tfjsCore.mean)((0, _tfjsCore.sub)(t, (0, _tfjsCore.mul)(e, n)), -1);\n  });\n}function cosineProximity(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = l2Normalize(e, -1),\n        r = l2Normalize(t, -1),\n        i = (0, _tfjsCore.mul)(n, r);return (0, _tfjsCore.neg)((0, _tfjsCore.sum)(i, -1));\n  });\n}function get(e) {\n  var t = { meanSquaredError: meanSquaredError, meanAbsoluteError: meanAbsoluteError, meanAbsolutePercentageError: meanAbsolutePercentageError, meanSquaredLogarithmicError: meanSquaredLogarithmicError, squaredHinge: squaredHinge, hinge: hinge, categoricalHinge: categoricalHinge, logcosh: logcosh, categoricalCrossentropy: categoricalCrossentropy, sparseCategoricalCrossentropy: sparseCategoricalCrossentropy, binaryCrossentropy: binaryCrossentropy, kullbackLeiblerDivergence: kullbackLeiblerDivergence, poisson: poisson, cosineProximity: cosineProximity };if (\"string\" == typeof e) {\n    if (e in t) return t[e];throw new ValueError(\"Unknown loss \" + e);\n  }return e;\n}function binaryAccuracy(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    var n = scalarTimesArray(getScalar(.5), (0, _tfjsCore.onesLike)(t)),\n        r = cast((0, _tfjsCore.greater)(t, n), e.dtype);return (0, _tfjsCore.mean)((0, _tfjsCore.equal)(e, r), -1);\n  });\n}function categoricalAccuracy(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return cast((0, _tfjsCore.equal)((0, _tfjsCore.argMax)(e, -1), (0, _tfjsCore.argMax)(t, -1)), \"float32\");\n  });\n}function binaryCrossentropy$1(e, t) {\n  return binaryCrossentropy(e, t);\n}function sparseCategoricalAccuracy(e, t) {\n  throw new NotImplementedError();\n}var mse$1 = meanSquaredError,\n    MSE$1 = meanSquaredError,\n    mae$1 = meanAbsoluteError,\n    MAE$1 = meanAbsoluteError,\n    mape$1 = meanAbsolutePercentageError,\n    MAPE$1 = meanAbsolutePercentageError,\n    categoricalCrossentropy$1 = categoricalCrossentropy,\n    cosine$1 = cosineProximity,\n    sparseCategoricalCrossentropy$1 = sparseCategoricalCrossentropy;function get$1(e) {\n  var t = { binaryAccuracy: binaryAccuracy, categoricalAccuracy: categoricalAccuracy, categoricalCrossentropy: categoricalCrossentropy$1, sparseCategoricalCrossentropy: sparseCategoricalCrossentropy$1, mse: mse$1, MSE: MSE$1, mae: mae$1, MAE: MAE$1, mape: mape$1, MAPE: MAPE$1, cosine: cosine$1 };if (\"string\" == typeof e && e in t) return t[e];if (\"string\" != typeof e && null != e) return e;throw new ValueError(\"Unknown metric \" + e);\n}function getOptimizer(e) {\n  var t = { Adagrad: function () {\n      return _tfjsCore.train.adagrad(.01);\n    }, Adadelta: function () {\n      return _tfjsCore.train.adadelta(1, .95, epsilon$1());\n    }, Adam: function () {\n      return _tfjsCore.train.adam(.001, .9, .999, epsilon$1());\n    }, Adamax: function () {\n      return _tfjsCore.train.adamax(.002, .9, .999, epsilon$1(), 0);\n    }, RMSProp: function () {\n      return _tfjsCore.train.rmsprop(.001, .9, null, epsilon$1());\n    }, SGD: function () {\n      return _tfjsCore.train.sgd(.01);\n    } };if (t.adagrad = t.Adagrad, t.adadelta = t.Adadelta, t.adam = t.Adam, t.adamax = t.Adamax, t.rmsprop = t.RMSProp, t.sgd = t.SGD, e in t) return t[e]();throw new ValueError(\"Unknown Optimizer \" + e);\n}function printSummary(e, t, n, r) {\n  void 0 === r && (r = console.log);var i,\n      a = isModelSequentialLike(e),\n      o = [\"Layer (type)\", \"Output shape\", \"Param #\"];if (a ? (t = t || 65, n = n || [.45, .85, 1]) : (t = t || 98, n = n || [.33, .55, .67, 1]), n[n.length - 1] <= 1 && (n = n.map(function (e) {\n    return Math.floor(t * e);\n  })), !a) for (var s in o.push(\"Receives inputs\"), i = [], e.nodesByDepth) i.push.apply(i, e.nodesByDepth[s]);r(\"_\".repeat(t)), printRow(o, n, r), r(\"=\".repeat(t));for (var l, u = e.layers, c = 0; c < u.length; ++c) a ? printLayerSummary(u[c], n, r) : printLayerSummaryWithConnections(u[c], n, i, r), r((c === u.length - 1 ? \"=\" : \"_\").repeat(t));e.checkTrainableWeightsConsistency(), l = null != e.collectedTrainableWeights ? countParamsInWeights(e.collectedTrainableWeights) : countParamsInWeights(e.trainableWeights);var p = countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \" + (l + p)), r(\"Trainable params: \" + l), r(\"Non-trainable params: \" + p), r(\"_\".repeat(t));\n}function isModelSequentialLike(e) {\n  var t = !0,\n      n = [],\n      r = [];for (var i in e.nodesByDepth) n.push(e.nodesByDepth[i]);for (var a = 0, o = n; a < o.length; a++) {\n    var s = o[a];if (s.length > 1 || 1 === s.length && s[0].inboundLayers.length > 1) {\n      t = !1;break;\n    }r.push.apply(r, s);\n  }if (t) for (var l = 0, u = e.layers; l < u.length; l++) {\n    for (var c = !1, p = 0, h = u[l].inboundNodes; p < h.length; p++) {\n      var d = h[p];if (-1 !== r.indexOf(d)) {\n        if (c) {\n          t = !1;break;\n        }c = !0;\n      }\n    }if (!t) break;\n  }return t;\n}function printRow(e, t, n) {\n  void 0 === n && (n = console.log);for (var r = \"\", i = 0; i < e.length; ++i) i > 0 && (r = r.slice(0, r.length - 1) + \" \"), r = (r += e[i]).slice(0, t[i]), r += \" \".repeat(t[i] - r.length);n(r);\n}function printLayerSummary(e, t, n) {\n  var r;try {\n    r = JSON.stringify(e.outputShape);\n  } catch (e) {\n    r = \"multiple\";\n  }printRow([e.name + \" (\" + e.getClassName() + \")\", r, e.countParams().toString()], t, n);\n}function printLayerSummaryWithConnections(e, t, n, r) {\n  var i;try {\n    i = JSON.stringify(e.outputShape);\n  } catch (e) {\n    i = \"multiple\";\n  }for (var a = [], o = 0, s = e.inboundNodes; o < s.length; o++) {\n    var l = s[o];if (!(null != n && n.length > 0 && -1 === n.indexOf(l))) for (var u = 0; u < l.inboundLayers.length; ++u) {\n      var c = l.inboundLayers[u].name,\n          p = l.nodeIndices[u],\n          h = l.tensorIndices[u];a.push(c + \"[\" + p + \"][\" + h + \"]\");\n    }\n  }var d = e.name,\n      g = e.getClassName(),\n      f = 0 === a.length ? \"\" : a[0];printRow([d + \" (\" + g + \")\", i, e.countParams().toString(), f], t, r);for (u = 1; u < a.length; ++u) printRow([\"\", \"\", \"\", a[u]], t, r);\n}function assertFeedCompatibility(e, t) {\n  if (null != e.dtype && e.dtype !== t.dtype) throw new ValueError(\"The dtype of the feed (\" + t.dtype + \") is incompatible with that of the key '\" + e.name + \"' (\" + e.dtype + \").\");if (null != e.shape) {\n    if (e.shape.length !== t.shape.length) throw new ValueError(\"The rank of feed (\" + t.shape.length + \") does not match the rank of the key (\" + e.shape.length + \").\");for (var n = 0; n < e.shape.length; ++n) if (null != e.shape[n] && e.shape[n] !== t.shape[n]) throw new ValueError(\"The \" + n + \"-th dimension of the feed (\" + t.shape[n] + \") is incompatible with that of the key (\" + e.shape[n] + \").\");\n  }\n}var ModelLoggingVerbosity,\n    FeedDict = function () {\n  function e(t) {\n    if (this.id2Value = {}, t instanceof e) for (var n in t.id2Value) this.id2Value[n] = t.id2Value[n];else {\n      if (null == t) return;for (var r = 0, i = t; r < i.length; r++) {\n        var a = i[r];this.add(a.key, a.value);\n      }\n    }\n  }return e.prototype.add = function (e, t) {\n    if (assertFeedCompatibility(e, t), null != this.id2Value[e.id]) throw new ValueError(\"Duplicate key: name=\" + e.name + \", id=\" + e.id);return this.id2Value[e.id] = t, this;\n  }, e.prototype.addFeed = function (e) {\n    this.add(e.key, e.value);\n  }, e.prototype.hasKey = function (e) {\n    return null != this.id2Value[e.id];\n  }, e.prototype.getValue = function (e) {\n    if (null == this.id2Value[e.id]) throw new ValueError(\"Nonexistent key: \" + JSON.stringify(e));return this.id2Value[e.id];\n  }, e;\n}();function execute(e, t, n) {\n  for (var r = Array.isArray(e), i = r ? e : [e], a = [], o = new FeedDict(t), s = 0, l = i; s < l.length; s++) {\n    var u = l[s];a.push(executeInternal(u, o, n));\n  }return r ? a : a[0];\n}function executeInternal(e, t, n) {\n  if (t.hasKey(e)) return t.getValue(e);if (e.sourceLayer instanceof InputLayer) throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\" + InputLayer.name + \"'\");for (var r = [], i = 0, a = e.inputs; i < a.length; i++) {\n    var o = executeInternal(a[i], t, n);r.push(o);\n  }var s = e.sourceLayer.apply(r, n);Array.isArray(s) || (s = [s]);for (var l = getNodeOutputs(e), u = Array.isArray(l) ? l : [l], c = 0; c < u.length; ++c) t.add(u[c], s[c]);return 1 === s.length ? s[0] : s[e.outputTensorIndex];\n}function getNodeOutputs(e) {\n  var t;if (1 === e.sourceLayer.inboundNodes.length) t = e.sourceLayer.output;else {\n    for (var n = null, r = 0; r < e.sourceLayer.inboundNodes.length; ++r) for (var i = 0, a = e.sourceLayer.inboundNodes[r].outputTensors; i < a.length; i++) {\n      if (a[i].id === e.id) {\n        n = r;break;\n      }\n    }t = e.sourceLayer.getOutputAt(n);\n  }return t;\n}function isDataTensor(e) {\n  return e instanceof _tfjsCore.Tensor;\n}function isDataArray(e) {\n  return Array.isArray(e);\n}function isDataDict(e) {\n  return !isDataTensor(e) && !isDataArray(e);\n}function standardizeInputData(e, t, n, r, i) {\n  if (void 0 === r && (r = !0), void 0 === i && (i = \"\"), null == t || 0 === t.length) {\n    if (null != e) {\n      var a = !1;if (isDataArray(e) && e.length > 0) a = !0;else if (isDataDict(e)) {\n        for (var o in e) if (e.hasOwnProperty(o)) {\n          a = !0;break;\n        }\n      } else a = !0;if (a) throw new ValueError(\"Error when checking model \" + i + \" expected no data, but got \" + e);\n    }return [];\n  }if (null == e) return t.map(function (e) {\n    return null;\n  });var s;if (isDataDict(e)) {\n    e = e, s = [];for (var l = 0, u = t; l < u.length; l++) {\n      var c = u[l];if (null == e[c]) throw new ValueError('No data provided for \"' + c + '\". Need data for each key in: ' + t);s.push(e[c]);\n    }\n  } else if (isDataArray(e)) {\n    if ((e = e).length !== t.length) throw new ValueError(\"Error when checking model \" + i + \": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \" + t.length + \" Tensor(s), but instead got the following list of Tensor(s): \" + e);s = e;\n  } else {\n    if (e = e, t.length > 1) throw new ValueError(\"The model \" + i + \" expects \" + t.length + \" Tensor(s), but only received one Tensor. Found: Tensor with shape \" + e.shape);s = [e];\n  }for (var p = 0; p < t.length; ++p) {\n    1 === (h = s[p]).shape.length && (s[p] = expandDims(h, 1));\n  }if (null != n) for (p = 0; p < t.length; ++p) if (null != n[p]) {\n    var h;if ((h = s[p]).shape.length !== n[p].length) throw new ValueError(\"Error when checking \" + i + \": expected \" + t[p] + \" to have \" + n[p].length + \" dimension(s). but got array with shape \" + h.shape);for (var d = 0; d < n[p].length; ++d) if (0 !== d || r) {\n      var g = h.shape[d],\n          f = n[p][d];if (null != f && f >= 0 && g !== f) throw new ValueError(\"Error when checking \" + i + \": expected \" + t[p] + \" to have shape [\" + n[p] + \"], but got array with shape [\" + h.shape + \"].\");\n    }\n  }return s;\n}function checkArrayLengths(e, t, n) {\n  var r = unique(e.map(function (e) {\n    return e.shape[0];\n  }));r.sort();var i = unique(t.map(function (e) {\n    return e.shape[0];\n  }));if (i.sort(), r.length > 1) throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \" + JSON.stringify(e.map(function (e) {\n    return e.shape;\n  })));if (i.length > 1) throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \" + JSON.stringify(t.map(function (e) {\n    return e.shape;\n  })));if (r.length > 0 && i.length > 0 && !_tfjsCore.util.arraysEqual(r, i)) throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \" + r[0] + \" input sample(s) and \" + i[0] + \" target sample(s).\");\n}function checkLossAndTargetCompatibility(e, t, n) {\n  for (var r = [meanSquaredError, binaryCrossentropy, categoricalCrossentropy], i = 0; i < e.length; ++i) {\n    var a = e[i],\n        o = t[i],\n        s = n[i];if (null != o) {\n      if (o === categoricalCrossentropy && 1 === a.shape[a.shape.length - 1]) throw new ValueError(\"You are passing a target array of shape \" + a.shape + \" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if (-1 !== r.indexOf(o)) for (var l = a.shape.slice(1), u = s.slice(1), c = 0; c < l.length; ++c) {\n        var p = l[c],\n            h = u[c];if (null != h && p !== h) throw new ValueError(\"A target Tensor with shape \" + a.shape + \" was passed for an output of shape \" + s + \", while using a loss function that expects targets to have the same shape as the output.\");\n      }\n    }\n  }\n}function makeBatches(e, t) {\n  for (var n = [], r = 0, i = null; r < e;) (i = r + t) >= e && (i = e), n.push([r, i]), r = i;return n;\n}function sliceArrays(e, t, n) {\n  return null == e ? [null] : Array.isArray(e) ? e.map(function (e) {\n    return sliceAlongFirstAxis(e, t, n - t);\n  }) : sliceAlongFirstAxis(e, t, n - t);\n}function sliceArraysByIndices(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return null == e ? null : Array.isArray(e) ? e.map(function (e) {\n      return sliceArraysByIndices(e, t);\n    }) : gather$1(e, \"int32\" === t.dtype ? t : t.toInt());\n  });\n}function checkInputData(e, t, n, r, i) {\n  var a;if (void 0 === r && (r = !0), void 0 === i && (i = \"\"), Array.isArray(e)) {\n    if (e.length !== t.length) throw new ValueError(\"Error when checking model \" + i + \": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \" + t.length + \" Tensor(s), but instead got \" + e.length + \" Tensors(s).\");a = e;\n  } else {\n    if (t.length > 1) throw new ValueError(\"The model expects \" + t.length + \" \" + i + \" Tensors, but only received one Tensor. Found: array with shape \" + JSON.stringify(e.shape) + \".\");a = [e];\n  }if (null != n) for (var o = 0; o < t.length; ++o) if (null != n[o]) {\n    var s = a[o];if (s.shape.length !== n[o].length) throw new ValueError(\"Error when checking \" + i + \": expected \" + t[o] + \" to have \" + n[o].length + \" dimension(s), but got array with shape \" + JSON.stringify(s.shape));for (var l = 0; l < n[o].length; ++l) if (0 !== l || r) {\n      var u = s.shape[l],\n          c = n[o][l];if (null != c && c !== u) throw new ValueError(\"Error when checking \" + i + \": expected \" + t[o] + \" to have shape \" + JSON.stringify(n[o]) + \" but got array with shape \" + JSON.stringify(s.shape) + \".\");\n    }\n  }\n}function collectMetrics(e, t) {\n  if (null == e || Array.isArray(e) && 0 === e.length) return t.map(function (e) {\n    return [];\n  });if (Array.isArray(e)) return t.map(function (t) {\n    return e;\n  });if (null != e) {\n    for (var n = [], r = 0, i = t; r < i.length; r++) {\n      var a = i[r],\n          o = e.hasOwnProperty(a) ? e[a] : [];Array.isArray(o) || (o = [o]), n.push(o);\n    }return n;\n  }throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \" + e);\n}!function (e) {\n  e[e.SILENT = 0] = \"SILENT\", e[e.VERBOSE = 1] = \"VERBOSE\";\n}(ModelLoggingVerbosity || (ModelLoggingVerbosity = {}));var Model = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.summary = function (e, t, n) {\n    if (void 0 === n && (n = console.log), !this.built) throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this, e, t, n);\n  }, t.prototype.compile = function (e) {\n    var t = this;if (null == e.loss && (e.loss = []), this.loss = e.loss, \"string\" == typeof e.optimizer) this.optimizer = getOptimizer(e.optimizer);else {\n      if (!(e.optimizer instanceof _tfjsCore.Optimizer)) throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer = e.optimizer;\n    }var n = [];if (Array.isArray(e.loss) || \"string\" == typeof e.loss || \"function\" == typeof e.loss) {\n      if (Array.isArray(e.loss)) {\n        if (e.loss.length !== this.outputs.length) throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \" + this.outputs.length + \" output(s), but you passed loss=\" + e.loss + \".\");var r = e.loss;n = r.map(function (e) {\n          return get(e);\n        });\n      } else {\n        var i = get(e.loss);this.outputs.map(function (e) {\n          n.push(i);\n        });\n      }\n    } else {\n      for (var a in e.loss = e.loss, e.loss) if (-1 === this.outputNames.indexOf(a)) throw new ValueError('Unknown entry in loss dictionary: \"' + a + '\". Only expect the following keys: ' + this.outputNames);for (var o in this.outputNames) null == e.loss[o] && console.warn('Output \"' + o + '\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ' + o + \" during training\"), n.push(get(e.loss[o]));\n    }this.lossFunctions = n, this.feedOutputNames = [], this.feedOutputShapes = [], this.feedLossFns = [];for (var s = 0; s < this.outputs.length; ++s) {\n      var l = this.internalOutputShapes[s],\n          u = this.outputNames[s];this.feedOutputNames.push(u), this.feedOutputShapes.push(l), this.feedLossFns.push(this.lossFunctions[s]);\n    }var c = [];this.metrics = e.metrics, this.metricsNames = [\"loss\"], this.metricsTensors = [], nameScope$1(\"loss\", function () {\n      for (var e = 0; e < t.outputs.length; ++e) if (-1 === c.indexOf(e)) {\n        var n = t.lossFunctions[e];t.outputs.length > 1 && (t.metricsTensors.push([n, e]), t.metricsNames.push(t.outputNames[e] + \"_loss\"));\n      }\n    });var p = collectMetrics(e.metrics, this.outputNames);nameScope$1(\"metric\", function () {\n      for (var e = function (e) {\n        if (-1 !== c.indexOf(e)) return \"continue\";!function (n) {\n          for (var r, i, a, o = function (n) {\n            if (-1 !== [\"accuracy\", \"acc\", \"crossentropy\", \"ce\"].indexOf(n)) {\n              var o = t.internalOutputShapes[e];1 === o[o.length - 1] || t.lossFunctions[e] === binaryCrossentropy ? -1 !== [\"accuracy\", \"acc\"].indexOf(n) ? i = binaryAccuracy : -1 !== [\"crossentropy\", \"ce\"].indexOf(n) && (i = binaryCrossentropy$1) : t.lossFunctions[e] === sparseCategoricalCrossentropy ? -1 !== [\"accuracy\", \"acc\"].indexOf(n) ? i = sparseCategoricalAccuracy : -1 !== [\"crossentropy\", \"ce\"].indexOf(n) && (i = sparseCategoricalCrossentropy$1) : -1 !== [\"accuracy\", \"acc\"].indexOf(n) ? i = categoricalAccuracy : -1 !== [\"crossentropy\", \"ce\"].indexOf(n) && (i = categoricalCrossentropy$1);var s = void 0;-1 !== [\"accuracy\", \"acc\"].indexOf(n) ? s = \"acc\" : -1 !== [\"crossentropy\", \"ce\"].indexOf(n) && (s = \"ce\"), a = i, r = \"\" + s;\n            } else {\n              var l = get$1(n);a = l, r = \"\" + n;\n            }var u;nameScope$1(r, function () {\n              u = a;\n            }), function (e, n, r) {\n              t.outputNames.length > 1 && (n = t.outputNames[e] + \"_\" + n), t.metricsNames.push(n), t.metricsTensors.push([r, e]);\n            }(e, r, u);\n          }, s = 0, l = n; s < l.length; s++) o(l[s]);\n        }(p[e]);\n      }, n = 0; n < t.outputs.length; ++n) e(n);\n    }), this.collectedTrainableWeights = this.trainableWeights;\n  }, t.prototype.checkTrainableWeightsConsistency = function () {\n    null != this.collectedTrainableWeights && this.trainableWeights.length !== this.collectedTrainableWeights.length && console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\");\n  }, t.prototype.evaluate = function (e, t, n) {\n    void 0 === n && (n = {});var r = null == n.batchSize ? 32 : n.batchSize,\n        i = this.standardizeUserData(e, t, !0, r),\n        a = i[0].concat(i[1]);this.makeTestFunction();var o = this.testFunction;return singletonOrArray(this.testLoop(o, a, r, n.verbose, n.steps));\n  }, t.prototype.checkNumSamples = function (e, t, n, r) {\n    var i;if (void 0 === r && (r = \"steps\"), null != n) {\n      if (i = null, null != t) throw new ValueError(\"If \" + r + \" is set, batchSize must be null or undefined.Got batchSize = \" + t);\n    } else {\n      if (null == e) throw new ValueError(\"Either the input data should have a defined shape, or \" + r + \" shoud be specified.\");i = Array.isArray(e) ? e[0].shape[0] : e.shape[0];\n    }return i;\n  }, t.prototype.execute = function (e, t) {\n    if (Array.isArray(t) && 0 === t.length) throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n = Array.isArray(t),\n        r = n ? t : [t],\n        i = this.retrieveSymbolicTensors(r),\n        a = new FeedDict();if (e instanceof _tfjsCore.Tensor && (e = [e]), Array.isArray(e)) {\n      if (e.length !== this.inputs.length) throw new ValueError(\"The number of inputs provided (\" + e.length + \") does not match the number of inputs of this model (\" + this.inputs.length + \").\");for (var o = 0; o < this.inputs.length; ++o) a.add(this.inputs[o], e[o]);\n    } else for (var s = 0, l = this.inputs; s < l.length; s++) {\n      var u = l[s],\n          c = e[u.name];if (null == c) throw new ValueError(\"No value is provided for the model's input \" + u.name);a.add(u, c);\n    }var p = execute(i, a);return n ? p : p[0];\n  }, t.prototype.retrieveSymbolicTensors = function (e) {\n    for (var t = pyListRepeat(null, e.length), n = e.length, r = 0, i = this.layers; r < i.length; r++) {\n      for (var a = i[r], o = Array.isArray(a.output) ? a.output : [a.output], s = o.map(function (e) {\n        return e.name;\n      }), l = 0; l < e.length; ++l) {\n        var u = s.indexOf(e[l]);if (-1 !== u && (t[l] = o[u], n--), 0 === n) break;\n      }if (0 === n) break;\n    }if (n > 0) {\n      var c = [];throw t.forEach(function (t, n) {\n        null == t && c.push(e[n]);\n      }), new ValueError(\"Cannot find SymbolicTensors for output name(s): \" + JSON.stringify(c));\n    }return t;\n  }, t.prototype.predictLoop = function (e, t, n) {\n    var r = this;void 0 === t && (t = 32), void 0 === n && (n = !1);var i = this.checkNumSamples(e);if (n) throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for (var a = makeBatches(i, t), o = [], s = function (t) {\n      var n = (0, _tfjsCore.tidy)(function () {\n        var n = a[t][0],\n            i = a[t][1],\n            o = sliceArrays(e, n, i),\n            s = [];if (Array.isArray(o)) for (var l = 0; l < o.length; ++l) s.push({ key: r.inputs[l], value: o[l] });else s.push({ key: r.inputs[0], value: o });var u = new FeedDict(s);return execute(r.outputs, u);\n      });if (0 === t) for (var i = 0, s = n; i < s.length; i++) {\n        var l = s[i];o.push(l);\n      } else for (var u = 0; u < n.length; ++u) o[u] = concatAlongFirstAxis(o[u], n[u]);\n    }, l = 0; l < a.length; ++l) s(l);return singletonOrArray(o);\n  }, t.prototype.predict = function (e, t) {\n    void 0 === t && (t = {}), checkInputData(e, this.inputNames, this.feedInputShapes, !1);var n = null == t.batchSize ? 32 : t.batchSize;return this.predictLoop(e, n);\n  }, t.prototype.predictOnBatch = function (e) {\n    return checkInputData(e, this.inputNames, this.feedInputShapes, !0), this.predictLoop(e, e.shape[0]);\n  }, t.prototype.standardizeUserData = function (e, t, n, r) {\n    if (void 0 === n && (n = !0), null == this.optimizer) throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for (var i = [], a = 0; a < this.feedOutputShapes.length; ++a) {\n      var o = this.feedOutputShapes[a];this.feedLossFns[a] === sparseCategoricalCrossentropy ? i.push(o.slice(0, o.length - 1).concat([1])) : i.push(o);\n    }if (checkArrayLengths(e = standardizeInputData(e, this.feedInputNames, this.feedInputShapes, !1, \"input\"), t = standardizeInputData(t, this.feedOutputNames, i, !1, \"target\"), null), checkLossAndTargetCompatibility(t, this.feedLossFns, this.feedOutputShapes), this.stateful && null != r && r > 0 && e[0].shape[0] % r != 0) throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \" + r + \". Found: \" + e[0].shape[0] + \" sample(s).\");return [e, t, null];\n  }, t.prototype.fitLoop = function (e, t, n, r, i, a, o, s, l, u, c, p, h, d) {\n    return void 0 === p && (p = 0), __awaiter(this, void 0, void 0, function () {\n      var g,\n          f,\n          m,\n          y,\n          v,\n          b,\n          z,\n          w = this;return __generator(this, function (S) {\n        switch (S.label) {case 0:\n            if (null == r && (r = 32), null == i && (i = 1), null == u && (u = !0), null == p && (p = 0), g = !1, null != s && null != l && (g = !0), null != d && (g = !0, null == h)) throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");if (null != (f = this.checkNumSamples(t, r, h, \"steps_per_epoch\")) && (m = range(0, f)), this.history = new History(), o = (o = null == o ? [new BaseLogger()] : [new BaseLogger()].concat(o)).concat([this.history]), a > 0) throw new NotImplementedError(\"Verbose mode is not implemented yet.\");return (y = new CallbackList(o)).setModel(this), y.setParams({ epochs: i, steps: h, verbose: a, doValidation: g, metrics: c }), [4, y.onTrainBegin()];case 1:\n            S.sent(), this.stopTraining = !1, v = function (i) {\n              var a, o, c, p, d;return __generator(this, function (v) {\n                switch (v.label) {case 0:\n                    return [4, y.onEpochBegin(i)];case 1:\n                    if (v.sent(), a = {}, null == h) return [3, 2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:\n                    if (\"batch\" === u) throw new NotImplementedError(\"batch shuffling is not implemneted yet\");u && _tfjsCore.util.shuffle(m), o = (0, _tfjsCore.tensor1d)(m), c = makeBatches(f, r), p = function (i) {\n                      var u;return __generator(this, function (p) {\n                        switch (p.label) {case 0:\n                            return u = {}, [4, y.onBatchBegin(i, u)];case 1:\n                            return p.sent(), (0, _tfjsCore.tidy)(function () {\n                              var p = c[i][0],\n                                  h = c[i][1],\n                                  d = sliceAlongFirstAxis(o, p, h - p);u.batch = i, u.size = h - p;for (var f = sliceArraysByIndices(t, d), m = e(f), y = 0; y < n.length; ++y) {\n                                var v = n[y],\n                                    b = m[y];u[v] = b, (0, _tfjsCore.keep)(b);\n                              }if (i === c.length - 1 && g) {\n                                var z = w.testLoop(s, l, r);for (y = 0; y < n.length; ++y) {\n                                  v = n[y], b = z[y];(0, _tfjsCore.keep)(b), a[\"val_\" + v] = b;\n                                }\n                              }\n                            }), [4, y.onBatchEnd(i, u)];case 2:\n                            return p.sent(), disposeTensorsInLogs(u), b.stopTraining ? [2, \"break\"] : [2];}\n                      });\n                    }, d = 0, v.label = 3;case 3:\n                    return d < c.length ? [5, p(d)] : [3, 6];case 4:\n                    if (\"break\" === v.sent()) return [3, 6];v.label = 5;case 5:\n                    return ++d, [3, 3];case 6:\n                    o.dispose(), v.label = 7;case 7:\n                    return [4, y.onEpochEnd(i, a)];case 8:\n                    return v.sent(), b.stopTraining ? [2, \"break\"] : [2];}\n              });\n            }, b = this, z = p, S.label = 2;case 2:\n            return z < i ? [5, v(z)] : [3, 5];case 3:\n            if (\"break\" === S.sent()) return [3, 5];S.label = 4;case 4:\n            return ++z, [3, 2];case 5:\n            return [4, y.onTrainEnd()];case 6:\n            return S.sent(), [4, this.history.syncData()];case 7:\n            return S.sent(), [2, this.history];}\n      });\n    });\n  }, t.prototype.testLoop = function (e, t, n, r, i) {\n    void 0 === r && (r = 0);var a = this.checkNumSamples(t, n, i, \"steps\"),\n        o = [];if (1 === r) throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if (null != i) throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for (var s = makeBatches(a, n), l = (0, _tfjsCore.tensor1d)(range(0, a)), u = 0; u < s.length; ++u) {\n      var c = s[u][0],\n          p = s[u][1],\n          h = e(sliceArraysByIndices(t, sliceAlongFirstAxis(l, c, p - c)));if (0 === u) for (var d = 0; d < h.length; ++d) o.push(getScalar(0));for (d = 0; d < h.length; ++d) {\n        var g = h[d];o[d] = (0, _tfjsCore.add)(o[d], scalarTimesArray(getScalar(p - c), g));\n      }\n    }for (d = 0; d < o.length; ++d) o[d] = (0, _tfjsCore.div)(o[d], getScalar(a));return o;\n  }, t.prototype.getDedupedMetricsNames = function () {\n    for (var e = this.metricsNames, t = [], n = 0; n < e.length; ++n) {\n      var r = e[n],\n          i = r;if (count(e, r) > 1) i += \"_\" + count(e.slice(0, n), r);t.push(i);\n    }return t;\n  }, t.prototype.makeTestFunction = function () {\n    var e = this;this.testFunction = function (t) {\n      return (0, _tfjsCore.tidy)(function () {\n        for (var n, r = [], i = t.slice(0, e.inputs.length), a = t.slice(e.inputs.length, e.inputs.length + e.outputs.length), o = [], s = 0; s < e.inputs.length; ++s) o.push({ key: e.inputs[s], value: i[s] });var l = new FeedDict(o),\n            u = execute(e.outputs, l);for (s = 0; s < e.lossFunctions.length; ++s) {\n          var c = e.lossFunctions[s],\n              p = (0, _tfjsCore.mean)(c(a[s], u[s]));n = 0 === s ? p : (0, _tfjsCore.add)(n, p), r.push(n);\n        }for (s = 0; s < e.metricsTensors.length; ++s) {\n          var h = e.metricsTensors[s][0],\n              d = e.metricsTensors[s][1],\n              g = (0, _tfjsCore.mean)(h(a[d], u[d]));r.push(g);\n        }return r;\n      });\n    };\n  }, t.prototype.fit = function (e, t, n) {\n    return void 0 === n && (n = {}), __awaiter(this, void 0, void 0, function () {\n      var r,\n          i,\n          a,\n          o,\n          s,\n          l,\n          u,\n          c,\n          p,\n          h,\n          d,\n          g,\n          f,\n          m,\n          y,\n          v,\n          b,\n          z,\n          w,\n          S = this;return __generator(this, function (I) {\n        switch (I.label) {case 0:\n            if (r = null == n.batchSize ? 32 : n.batchSize, i = this.standardizeUserData(e, t, !1, r), a = i[0], o = i[1], s = !1, p = !1, null != n.validationData && n.validationData.length > 0) {\n              if (s = !0, 2 !== n.validationData.length) throw 3 === n.validationData.length ? new NotImplementedError(\"validationData including sample weights is not supported yet.\") : new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \" + n.validationData + \" is invalid.\");l = n.validationData[0], u = n.validationData[1], h = this.standardizeUserData(l, u, !0, r), l = h[0], u = h[1], c = l.concat(u);\n            } else null != n.validationSplit && n.validationSplit > 0 && n.validationSplit < 1 ? (s = !0, d = Math.floor(a[0].shape[0] * (1 - n.validationSplit)), g = a[0].shape[0], l = sliceArrays(a, d, g), a = sliceArrays(a, 0, d), u = sliceArrays(o, d, g), o = sliceArrays(o, 0, d), p = !0, c = l.concat(u)) : null != n.validationSteps && (s = !0);return f = a.concat(o), this.checkTrainableWeightsConsistency(), m = function (e) {\n              var t = e.slice(0, S.inputs.length),\n                  n = e.slice(S.inputs.length, S.inputs.length + S.outputs.length),\n                  r = [],\n                  i = S.collectedTrainableWeights.map(function (e) {\n                return e.read();\n              });return [S.optimizer.minimize(function () {\n                for (var e = [], i = 0; i < S.inputs.length; ++i) e.push({ key: S.inputs[i], value: t[i] });var a,\n                    o = new FeedDict(e),\n                    s = execute(S.outputs, o, { training: !0 });for (i = 0; i < S.lossFunctions.length; ++i) {\n                  var l = (0, S.lossFunctions[i])(n[i], s[i]);(0, _tfjsCore.mean)(l), a = 0 === i ? l : (0, _tfjsCore.add)(a, l);\n                }for (i = 0; i < S.metricsTensors.length; ++i) {\n                  var u = S.metricsTensors[i][0],\n                      c = S.metricsTensors[i][1],\n                      p = (0, _tfjsCore.mean)(u(n[c], s[c]));(0, _tfjsCore.keep)(p), r.push(p);\n                }return a = (0, _tfjsCore.mean)(a), S.calculateLosses().forEach(function (e) {\n                  a = (0, _tfjsCore.add)(a, e);\n                }), a;\n              }, !0, i)].concat(r);\n            }, y = this.getDedupedMetricsNames(), s ? (this.makeTestFunction(), v = this.testFunction, b = y.slice().concat(y.map(function (e) {\n              return \"val_\" + e;\n            }))) : (v = null, c = [], b = y.slice()), z = standardizeCallbacks(n.callbacks), [4, this.fitLoop(m, f, y, r, n.epochs, n.verbose, z, v, c, n.shuffle, b, null, null, null)];case 1:\n            return w = I.sent(), p && (c.forEach(function (e) {\n              return e.dispose();\n            }), a.forEach(function (e) {\n              return e.dispose();\n            }), o.forEach(function (e) {\n              return e.dispose();\n            })), [2, w];}\n      });\n    });\n  }, t.prototype.getNamedWeights = function (e) {\n    for (var t = {}, n = null != e && e.trainableOnly, r = n ? this.trainableWeights : this.weights, i = this.getWeights(n), a = 0; a < r.length; ++a) n && !r[a].trainable || (t[r[a].originalName] = i[a]);return t;\n  }, t.prototype.save = function (e, t) {\n    return __awaiter(this, void 0, void 0, function () {\n      var n, r, i, a, o;return __generator(this, function (s) {\n        switch (s.label) {case 0:\n            if (\"string\" == typeof e) {\n              if (0 === (n = _tfjsCore.io.getSaveHandlers(e)).length) throw new ValueError(\"Cannot find any save handlers for URL '\" + e + \"'\");if (n.length > 1) throw new ValueError(\"Found more than one (\" + n.length + \") save handlers for URL '\" + e + \"'\");e = n[0];\n            }if (null == e.save) throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return [4, _tfjsCore.io.encodeWeights(this.getNamedWeights(t))];case 1:\n            return r = s.sent(), i = !1, a = null, o = this.toJSON(a, i), [2, e.save({ modelTopology: o, weightData: r.data, weightSpecs: r.specs })];}\n      });\n    });\n  }, t.className = \"Model\", __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t.prototype, \"summary\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [0] })], t.prototype, \"compile\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [2] })], t.prototype, \"evaluate\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [1] })], t.prototype, \"predict\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t.prototype, \"predictOnBatch\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [2] })], t.prototype, \"fit\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [1] })], t.prototype, \"save\", null), t = __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t);\n}(Container);_tfjsCore.serialization.SerializationMap.register(Model);var VALID_FAN_MODE_VALUES = [\"fanIn\", \"fanOut\", \"fanAvg\"];function checkFanMode(e) {\n  checkStringTypeUnionValue(VALID_FAN_MODE_VALUES, \"FanMode\", e);\n}var VALID_DISTRIBUTION_VALUES = [\"normal\", \"uniform\"];function checkDistribution(e) {\n  checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES, \"Distribution\", e);\n}var Initializer = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.fromConfigUsesCustomObjects = function () {\n    return !1;\n  }, t.prototype.getConfig = function () {\n    return {};\n  }, t = __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", subheading: \"Classes\", namespace: \"initializers\" })], t);\n}(_tfjsCore.serialization.Serializable),\n    Zeros = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    return (0, _tfjsCore.zeros)(e, t);\n  }, t.className = \"Zeros\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(Zeros);var Ones = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    return (0, _tfjsCore.ones)(e, t);\n  }, t.className = \"Ones\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(Ones);var Constant = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.value = t.value, n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return scalarTimesArray((0, _tfjsCore.scalar)(n.value), (0, _tfjsCore.ones)(e, t));\n    });\n  }, t.prototype.getConfig = function () {\n    return { value: this.value };\n  }, t.className = \"Constant\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(Constant);var RandomUniform = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.DEFAULT_MINVAL = -.05, n.DEFAULT_MAXVAL = .05, n.minval = t.minval || n.DEFAULT_MINVAL, n.maxval = t.maxval || n.DEFAULT_MAXVAL, n.seed = t.seed, n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    return (0, _tfjsCore.randomUniform)(e, this.minval, this.maxval, t);\n  }, t.prototype.getConfig = function () {\n    return { minval: this.minval, maxval: this.maxval, seed: this.seed };\n  }, t.className = \"RandomUniform\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(RandomUniform);var RandomNormal = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.DEFAULT_MEAN = 0, n.DEFAULT_STDDEV = .05, n.mean = t.mean || n.DEFAULT_MEAN, n.stddev = t.stddev || n.DEFAULT_STDDEV, n.seed = t.seed, n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    if (\"bool\" === t) throw new NotImplementedError(\"randomNormal does not support dType bool.\");return randomNormal$1(e, this.mean, this.stddev, t, this.seed);\n  }, t.prototype.getConfig = function () {\n    return { mean: this.mean, stddev: this.stddev, seed: this.seed };\n  }, t.className = \"RandomNormal\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(RandomNormal);var TruncatedNormal = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.DEFAULT_MEAN = 0, n.DEFAULT_STDDEV = .05, n.mean = t.mean || n.DEFAULT_MEAN, n.stddev = t.stddev || n.DEFAULT_STDDEV, n.seed = t.seed, n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    if (\"bool\" === t) throw new NotImplementedError(\"truncatedNormal does not support dType bool.\");return (0, _tfjsCore.truncatedNormal)(e, this.mean, this.stddev, t, this.seed);\n  }, t.prototype.getConfig = function () {\n    return { mean: this.mean, stddev: this.stddev, seed: this.seed };\n  }, t.className = \"TruncatedNormal\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(TruncatedNormal);var Identity = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;return n.gain = null != t.gain ? (0, _tfjsCore.scalar)(t.gain) : getScalar(1), n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (2 !== e.length || e[0] !== e[1]) throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return scalarTimesArray(n.gain, (0, _tfjsCore.eye)(e[0]));\n    });\n  }, t.prototype.getConfig = function () {\n    return { gain: this.gain.get() };\n  }, t.className = \"Identity\", t;\n}(Initializer);function computeFans(e, t) {\n  var n, r;if (void 0 === t && (t = \"channelsLast\"), checkDataFormat(t), 2 === e.length) n = e[0], r = e[1];else if (-1 !== [3, 4, 5].indexOf(e.length)) {\n    if (\"channelsFirst\" === t) {\n      var i = arrayProd(e, 2);n = e[1] * i, r = e[0] * i;\n    } else if (\"channelsLast\" === t) {\n      i = arrayProd(e, 0, e.length - 2);n = e[e.length - 2] * i, r = e[e.length - 1] * i;\n    }\n  } else {\n    var a = arrayProd(e);n = Math.sqrt(a), r = Math.sqrt(a);\n  }return [n, r];\n}_tfjsCore.serialization.SerializationMap.register(Identity);var VarianceScaling = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;if (t.scale < 0) throw new ValueError(\"scale must be a positive float. Got: \" + t.scale);return n.scale = null == t.scale ? 1 : t.scale, n.mode = t.mode, checkFanMode(n.mode), n.distribution = t.distribution, checkDistribution(n.distribution), n.seed = t.seed, n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    var n = computeFans(e),\n        r = n[0],\n        i = n[1],\n        a = this.scale;if (\"fanIn\" === this.mode ? a /= Math.max(1, r) : \"fanOut\" === this.mode ? a /= Math.max(1, i) : a /= Math.max(1, (r + i) / 2), \"normal\" === this.distribution) {\n      var o = Math.sqrt(a);if (\"bool\" === t) throw new NotImplementedError(this.getClassName() + \" does not support dType bool.\");return (0, _tfjsCore.truncatedNormal)(e, 0, o, t, this.seed);\n    }var s = Math.sqrt(3 * a);return (0, _tfjsCore.randomUniform)(e, -s, s, t);\n  }, t.prototype.getConfig = function () {\n    return { scale: this.scale, mode: this.mode, distribution: this.distribution, seed: this.seed };\n  }, t.className = \"VarianceScaling\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(VarianceScaling);var GlorotUniform = function (e) {\n  function t(t) {\n    return e.call(this, { scale: 1, mode: \"fanAvg\", distribution: \"uniform\", seed: null == t ? null : t.seed }) || this;\n  }return __extends(t, e), t.prototype.getClassName = function () {\n    return VarianceScaling.className;\n  }, t;\n}(VarianceScaling),\n    GlorotNormal = function (e) {\n  function t(t) {\n    return e.call(this, { scale: 1, mode: \"fanAvg\", distribution: \"normal\", seed: null == t ? null : t.seed }) || this;\n  }return __extends(t, e), t.prototype.getClassName = function () {\n    return VarianceScaling.className;\n  }, t;\n}(VarianceScaling),\n    HeNormal = function (e) {\n  function t(t) {\n    return e.call(this, { scale: 2, mode: \"fanIn\", distribution: \"normal\", seed: null == t ? null : t.seed }) || this;\n  }return __extends(t, e), t.prototype.getClassName = function () {\n    return VarianceScaling.className;\n  }, t;\n}(VarianceScaling),\n    LeCunNormal = function (e) {\n  function t(t) {\n    return e.call(this, { scale: 1, mode: \"fanIn\", distribution: \"normal\", seed: null == t ? null : t.seed }) || this;\n  }return __extends(t, e), t.prototype.getClassName = function () {\n    return VarianceScaling.className;\n  }, t;\n}(VarianceScaling),\n    Orthogonal = function (e) {\n  function t(t) {\n    var n = e.call(this) || this;if (n.DEFAULT_GAIN = 1, n.gain = null == t.gain ? n.DEFAULT_GAIN : t.gain, n.seed = t.seed, null != n.seed) throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (2 !== e.length) throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0] * e[1] > 2e3 && console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\" + e[0] * e[1] + \") elements: Slowness may result.\");var t = randomNormal$1(e[0] > e[1] ? [e[1], e[0]] : e, 0, 1, \"float32\"),\n          r = _tfjsCore.linalg.gramSchmidt(t);return e[0] > e[1] && (r = r.transpose()), scalarTimesArray(getScalar(n.gain), r);\n    });\n  }, t.prototype.getConfig = function () {\n    return { gain: this.gain, seed: this.seed };\n  }, t.className = \"Orthogonal\", t;\n}(Initializer);_tfjsCore.serialization.SerializationMap.register(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP = { constant: \"Constant\", glorotNormal: \"GlorotNormal\", glorotUniform: \"GlorotUniform\", heNormal: \"HeNormal\", identity: \"Identity\", leCunNormal: \"LeCunNormal\", ones: \"Ones\", orthogonal: \"Orthogonal\", randomNormal: \"RandomNormal\", randomUniform: \"RandomUniform\", truncatedNormal: \"TruncatedNormal\", varianceScaling: \"VarianceScaling\", zeros: \"Zeros\" };function deserializeInitializer(e, t) {\n  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, \"initializer\");\n}function serializeInitializer(e) {\n  return serializeKerasObject(e);\n}function getInitializer(e) {\n  if (\"string\" == typeof e) {\n    var t = e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ? INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e;return \"GlorotUniform\" === t ? new GlorotUniform() : \"GlorotNormal\" === t ? new GlorotNormal() : \"HeNormal\" === t ? new HeNormal() : \"LeCunNormal\" === t ? new LeCunNormal() : deserializeInitializer({ className: t, config: {} });\n  }return e instanceof Initializer ? e : deserializeInitializer(e);\n}var Activation = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.getConfig = function () {\n    return {};\n  }, t;\n}(_tfjsCore.serialization.Serializable),\n    Elu = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    return void 0 === t && (t = 1), elu$1(e, t);\n  }, t.className = \"elu\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Elu);var Selu = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.selu)(e);\n  }, t.className = \"selu\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Selu);var Relu = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.relu)(e);\n  }, t.className = \"relu\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Relu);var Relu6 = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      return (0, _tfjsCore.minimum)(getScalar(6), (0, _tfjsCore.relu)(e));\n    });\n  }, t.className = \"relu6\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Relu6);var Linear = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return e;\n  }, t.className = \"linear\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Linear);var Sigmoid = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.sigmoid)(e);\n  }, t.className = \"sigmoid\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Sigmoid);var HardSigmoid = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return hardSigmoid(e);\n  }, t.className = \"hardSigmoid\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(HardSigmoid);var Softplus = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.softplus)(e);\n  }, t.className = \"softplus\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Softplus);var Softsign = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return softsign(e);\n  }, t.className = \"softsign\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Softsign);var Tanh = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    return (0, _tfjsCore.tanh)(e);\n  }, t.className = \"tanh\", t;\n}(Activation);_tfjsCore.serialization.SerializationMap.register(Tanh);var Softmax = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.apply = function (e, t) {\n    return void 0 === t && (t = -1), (0, _tfjsCore.softmax)(e, t);\n  }, t.className = \"softmax\", t;\n}(Activation);function serializeActivation(e) {\n  return e.getClassName();\n}function deserializeActivation(e, t) {\n  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, \"activation\");\n}function getActivation(e) {\n  return null == e ? deserializeActivation({ className: \"linear\", config: {} }) : \"string\" == typeof e ? deserializeActivation({ className: e, config: {} }) : e instanceof Activation ? e : deserializeActivation(e);\n}_tfjsCore.serialization.SerializationMap.register(Softmax);var LeakyReLU = function (e) {\n  function t(t) {\n    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_ALPHA = .3, null == t && (t = {}), n.alpha = null == t.alpha ? n.DEFAULT_ALPHA : t.alpha, n;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = getExactlyOneTensor(e);return (0, _tfjsCore.leakyRelu)(n, this.alpha);\n  }, t.prototype.computeOutputShape = function (e) {\n    return e;\n  }, t.prototype.getConfig = function () {\n    var t = { alpha: this.alpha },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"LeakyReLU\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(LeakyReLU);var ELU = function (e) {\n  function t(t) {\n    var n = e.call(this, null == t ? {} : t) || this;if (n.DEFAULT_ALPHA = 1, null == t && (t = {}), null != t.alpha && t.alpha !== n.DEFAULT_ALPHA) throw new NotImplementedError(\"Non-default alpha value (\" + t.alpha + \") is not supported by the ELU layer yet.\");return n.alpha = null == t.alpha ? n.DEFAULT_ALPHA : t.alpha, n;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = getExactlyOneTensor(e);return (0, _tfjsCore.elu)(n);\n  }, t.prototype.computeOutputShape = function (e) {\n    return e;\n  }, t.prototype.getConfig = function () {\n    var t = { alpha: this.alpha },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"ELU\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(ELU);var ThresholdedReLU = function (e) {\n  function t(t) {\n    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_THETA = 1, null == t && (t = {}), n.theta = null == t.theta ? n.DEFAULT_THETA : t.theta, n.thetaTensor = getScalar(n.theta), n;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = getExactlyOneTensor(e);return n.mul(cast(n.greater(this.thetaTensor), \"float32\"));\n  }, t.prototype.computeOutputShape = function (e) {\n    return e;\n  }, t.prototype.getConfig = function () {\n    var t = { theta: this.theta },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"ThresholdedReLU\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(ThresholdedReLU);var Softmax$1 = function (e) {\n  function t(t) {\n    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_AXIS = 1, null == t && (t = {}), n.softmax = new Softmax().apply, n.axis = null == t.axis ? n.DEFAULT_AXIS : t.axis, n;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = getExactlyOneTensor(e);return this.softmax(n, this.axis);\n  }, t.prototype.computeOutputShape = function (e) {\n    return e;\n  }, t.prototype.getConfig = function () {\n    var t = { axis: this.axis },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Softmax\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Softmax$1);var Regularizer = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t;\n}(_tfjsCore.serialization.Serializable),\n    L1L2 = function (e) {\n  function t(t) {\n    var n = e.call(this) || this,\n        r = null == t || null == t.l1 ? .01 : t.l1,\n        i = null == t || null == t.l2 ? .01 : t.l2;return n.hasL1 = 0 !== r, n.hasL2 = 0 !== i, n.l1 = getScalar(r), n.l2 = getScalar(i), n;\n  }return __extends(t, e), t.prototype.apply = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      var n = (0, _tfjsCore.zeros)([1]);return t.hasL1 && (n = (0, _tfjsCore.add)(n, (0, _tfjsCore.sum)(scalarTimesArray(t.l1, (0, _tfjsCore.abs)(e))))), t.hasL2 && (n = (0, _tfjsCore.add)(n, (0, _tfjsCore.sum)(scalarTimesArray(t.l2, square(e))))), n.asScalar();\n    });\n  }, t.prototype.getConfig = function () {\n    return { l1: this.l1.dataSync()[0], l2: this.l2.dataSync()[0] };\n  }, t.fromConfig = function (e, t) {\n    return new e({ l1: t.l1, l2: t.l2 });\n  }, t.className = \"L1L2\", t = __decorate([(0, _tfjsCore.doc)({ heading: \"Regularizers\", namespace: \"regularizers\" })], t);\n}(Regularizer);function l1(e) {\n  return new L1L2({ l1: null != e ? e.l1 : null, l2: 0 });\n}function l2(e) {\n  return new L1L2({ l2: null != e ? e.l2 : null, l1: 0 });\n}_tfjsCore.serialization.SerializationMap.register(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP = { l1l2: \"L1L2\" };function serializeRegularizer(e) {\n  return serializeKerasObject(e);\n}function deserializeRegularizer(e, t) {\n  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, \"regularizer\");\n}function getRegularizer(e) {\n  return null == e ? null : \"string\" == typeof e ? deserializeRegularizer({ className: e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ? REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e, config: {} }) : e instanceof Regularizer ? e : deserializeRegularizer(e);\n}function normalizeArray(e, t, n) {\n  if (\"number\" == typeof e) return pyListRepeat(e, t);if (e.length !== t) throw new ValueError(\"The \" + n + \" argument must be a tuple of \" + t + \" integers. Received: \" + e.length + \" elements.\");for (var r = 0; r < t; ++r) {\n    var i = e[r];if (!isInteger(i)) throw new ValueError(\"The \" + n + \" argument must be a tuple of \" + t + \" integers. Received: \" + JSON.stringify(e) + \" including a non-integer number \" + i);\n  }return e;\n}function convOutputLength(e, t, n, r, i) {\n  return void 0 === i && (i = 1), null == e ? e : (a = \"same\" === n ? e : e - (t + (t - 1) * (i - 1)) + 1, Math.floor((a + r - 1) / r));var a;\n}function deconvLength(e, t, n, r) {\n  if (null == e) return null;if (\"valid\" === r) e = e * t + max$1([n - t, 0]);else {\n    if (\"same\" !== r) throw new ValueError(\"Unsupport padding mode: \" + r + \".\");e *= t;\n  }return e;\n}function preprocessConv2DInput(e, t) {\n  return (0, _tfjsCore.tidy)(function () {\n    return checkDataFormat(t), \"channelsFirst\" === t ? (0, _tfjsCore.transpose)(e, [0, 2, 3, 1]) : e;\n  });\n}function conv1dWithBias(e, t, n, r, i, a, o) {\n  return void 0 === r && (r = 1), void 0 === i && (i = \"valid\"), void 0 === o && (o = 1), (0, _tfjsCore.tidy)(function () {\n    if (null == a && (a = imageDataFormat()), checkDataFormat(a), 3 !== e.shape.length) throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \" + e.shape.length + \" instead.\");if (3 !== t.shape.length) throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \" + t.shape.length + \" instead\");if (null != n && 1 !== n.shape.length) throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \" + t.shape.length + \" instead\");if (\"channelsFirst\" === a && (e = (0, _tfjsCore.transpose)(e, [0, 2, 1])), \"causal\" === i) throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s = (0, _tfjsCore.conv1d)(e, t, r, \"same\" === i ? \"same\" : \"valid\", \"NWC\", o);return null != n && (s = biasAdd(s, n)), s;\n  });\n}function conv2dWithBias(e, t, n, r, i, a, o) {\n  return void 0 === r && (r = [1, 1]), void 0 === i && (i = \"valid\"), (0, _tfjsCore.tidy)(function () {\n    if (null == a && (a = imageDataFormat()), checkDataFormat(a), 3 !== e.rank && 4 !== e.rank) throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \" + e.rank + \".\");if (3 !== t.rank && 4 !== t.rank) throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \" + e.rank + \".\");var s = preprocessConv2DInput(e, a);if (\"causal\" === i) throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s = (0, _tfjsCore.conv2d)(s, t, r, \"same\" === i ? \"same\" : \"valid\", \"NHWC\", o), null != n && (s = biasAdd(s, n)), \"channelsFirst\" === a && (s = (0, _tfjsCore.transpose)(s, [0, 3, 1, 2])), s;\n  });\n}var BaseConv = function (e) {\n  function t(n, r) {\n    var i = e.call(this, r) || this;if (i.bias = null, i.DEFAULT_KERNEL_INITIALIZER = \"glorotNormal\", i.DEFAULT_BIAS_INITIALIZER = \"zeros\", t.verifyConfig(r), i.rank = n, 1 !== i.rank && 2 !== i.rank) throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\" + i.rank + \") is not implemented yet.\");if (i.kernelSize = normalizeArray(r.kernelSize, n, \"kernelSize\"), i.strides = normalizeArray(null == r.strides ? 1 : r.strides, n, \"strides\"), i.padding = null == r.padding ? \"valid\" : r.padding, checkPaddingMode(i.padding), i.dataFormat = null == r.dataFormat ? \"channelsLast\" : r.dataFormat, checkDataFormat(i.dataFormat), i.activation = getActivation(r.activation), i.useBias = null == r.useBias || r.useBias, i.biasInitializer = getInitializer(r.biasInitializer || i.DEFAULT_BIAS_INITIALIZER), i.biasConstraint = getConstraint(r.biasConstraint), i.biasRegularizer = getRegularizer(r.biasRegularizer), i.activityRegularizer = getRegularizer(r.activityRegularizer), i.dilationRate = null == r.dilationRate ? 1 : r.dilationRate, 1 === i.rank && Array.isArray(i.dilationRate) && 1 !== i.dilationRate.length) throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \" + JSON.stringify(i.dilationRate));if (2 === i.rank) if (\"number\" == typeof i.dilationRate) i.dilationRate = [i.dilationRate, i.dilationRate];else if (2 !== i.dilationRate.length) throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \" + JSON.stringify(i.dilationRate));return i;\n  }return __extends(t, e), t.verifyConfig = function (e) {\n    if (assert(\"kernelSize\" in e, \"required key 'kernelSize' not in config\"), \"number\" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, \"number\", 1, 2)) throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \" + JSON.stringify(e.kernelSize) + \".\");\n  }, t;\n}(Layer),\n    Conv = function (e) {\n  function t(n, r) {\n    var i = e.call(this, n, r) || this;return i.kernel = null, t.verifyConfig(r), i.filters = r.filters, i.kernelInitializer = getInitializer(r.kernelInitializer || i.DEFAULT_KERNEL_INITIALIZER), i.kernelConstraint = getConstraint(r.kernelConstraint), i.kernelRegularizer = getRegularizer(r.kernelRegularizer), i;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    e = getExactlyOneShape(e);var t = \"channelsFirst\" === this.dataFormat ? 1 : e.length - 1;if (null == e[t]) throw new ValueError(\"The channel dimension of the input should be defined. Found \" + e[t]);var n,\n        r = e[t],\n        i = this.kernelSize.concat([r, this.filters]);this.kernel = this.addWeight(\"kernel\", i, null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight(\"bias\", [this.filters], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint)), this.inputSpec = [{ ndim: this.rank + 2, axes: (n = {}, n[t] = r, n) }], this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t;e = getExactlyOneTensor(e);var r = null == n.bias ? null : n.bias.read();if (1 === n.rank) t = conv1dWithBias(e, n.kernel.read(), r, n.strides[0], n.padding, n.dataFormat, n.dilationRate);else if (2 === n.rank) t = conv2dWithBias(e, n.kernel.read(), r, n.strides, n.padding, n.dataFormat, n.dilationRate);else if (3 === n.rank) throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null != n.activation && (t = n.activation.apply(t)), t;\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    e = getExactlyOneShape(e);for (var t = [], n = \"channelsLast\" === this.dataFormat ? e.slice(1, e.length - 1) : e.slice(2), r = 0; r < n.length; ++r) {\n      var i = convOutputLength(n[r], this.kernelSize[r], this.padding, this.strides[r], \"number\" == typeof this.dilationRate ? this.dilationRate : this.dilationRate[r]);t.push(i);\n    }var a = [e[0]];return \"channelsLast\" === this.dataFormat ? (a = a.concat(t)).push(this.filters) : (a.push(this.filters), a = a.concat(t)), a;\n  }, t.prototype.getConfig = function () {\n    var t = { rank: this.rank, filters: this.filters, kernelSize: this.kernelSize, strides: this.strides, padding: this.padding, dataFormat: this.dataFormat, dilationRate: this.dilationRate, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), biasConstraint: serializeConstraint(this.biasConstraint) },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.verifyConfig = function (e) {\n    if (!(\"filters\" in e) || \"number\" != typeof e.filters || e.filters < 1) throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \" + JSON.stringify(e.filters));\n  }, t;\n}(BaseConv),\n    Conv2D = function (e) {\n  function t(n) {\n    var r = e.call(this, 2, n) || this;return t.verifyConfig(n), r;\n  }return __extends(t, e), t.prototype.getConfig = function () {\n    var t = e.prototype.getConfig.call(this);return delete t.rank, t;\n  }, t.verifyConfig = function (e) {\n    if (\"number\" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, \"number\", 1, 2)) throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \" + JSON.stringify(e.kernelSize) + \".\");\n  }, t.className = \"Conv2D\", t;\n}(Conv);_tfjsCore.serialization.SerializationMap.register(Conv2D);var Conv2DTranspose = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;if (n.inputSpec = [new InputSpec({ ndim: 4 })], \"same\" !== n.padding && \"valid\" !== n.padding) throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \" + n.padding);return n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    if (4 !== (e = getExactlyOneShape(e)).length) throw new ValueError(\"Input should have rank 4; Received input shape: \" + JSON.stringify(e));var t = \"channelsFirst\" === this.dataFormat ? 1 : e.length - 1;if (null == e[t]) throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,\n        r = e[t],\n        i = this.kernelSize.concat([this.filters, r]);this.kernel = this.addWeight(\"kernel\", i, \"float32\", this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight(\"bias\", [this.filters], \"float32\", this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint)), this.inputSpec = [new InputSpec({ ndim: 4, axes: (n = {}, n[t] = r, n) })], this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e);if (4 !== t.shape.length) throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\" + t.shape.length);var r,\n          i,\n          a = t.shape,\n          o = a[0];\"channelsFirst\" === n.dataFormat ? (r = 2, i = 3) : (r = 1, i = 2);var s = a[r],\n          l = a[i],\n          u = n.kernelSize[0],\n          c = n.kernelSize[1],\n          p = n.strides[0],\n          h = n.strides[1],\n          d = [o, deconvLength(s, p, u, n.padding), deconvLength(l, h, c, n.padding), n.filters];\"channelsLast\" !== n.dataFormat && (t = (0, _tfjsCore.transpose)(t, [0, 2, 3, 1]));var g = (0, _tfjsCore.conv2dTranspose)(t, n.kernel.read(), d, n.strides, n.padding);return \"channelsLast\" !== n.dataFormat && (g = (0, _tfjsCore.transpose)(g, [0, 3, 1, 2])), null != n.bias && (g = biasAdd(g, n.bias.read(), n.dataFormat)), null != n.activation && (g = n.activation.apply(g)), g;\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    var t,\n        n,\n        r,\n        i = (e = getExactlyOneShape(e)).slice();\"channelsFirst\" === this.dataFormat ? (t = 1, n = 2, r = 3) : (t = 3, n = 1, r = 2);var a = this.kernelSize[0],\n        o = this.kernelSize[1],\n        s = this.strides[0],\n        l = this.strides[1];return i[t] = this.filters, i[n] = deconvLength(i[n], s, a, this.padding), i[r] = deconvLength(i[r], l, o, this.padding), i;\n  }, t.prototype.getConfig = function () {\n    var t = e.prototype.getConfig.call(this);return delete t.dilationRate, t;\n  }, t.className = \"Conv2DTranspose\", t;\n}(Conv2D);_tfjsCore.serialization.SerializationMap.register(Conv2DTranspose);var SeparableConv = function (e) {\n  function t(t, n) {\n    var r = e.call(this, t, n) || this;if (r.DEFAULT_DEPTHWISE_INITIALIZER = \"glorotUniform\", r.DEFAULT_POINTWISE_INITIALIZER = \"glorotUniform\", r.depthwiseKernel = null, r.pointwiseKernel = null, null == n.filters) throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if (null != n.kernelInitializer || null != n.kernelRegularizer || null != n.kernelConstraint) throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if (null != n.padding && \"same\" !== n.padding && \"valid\" !== n.padding) throw new ValueError(\"SeparableConv\" + r.rank + \"D supports only padding modes: 'same' and 'valid', but received \" + JSON.stringify(n.padding));return r.depthMultiplier = null == n.depthMultiplier ? 1 : n.depthMultiplier, r.depthwiseInitializer = getInitializer(n.depthwiseInitializer || r.DEFAULT_DEPTHWISE_INITIALIZER), r.depthwiseRegularizer = getRegularizer(n.depthwiseRegularizer), r.depthwiseConstraint = getConstraint(n.depthwiseConstraint), r.pointwiseInitializer = getInitializer(n.depthwiseInitializer || r.DEFAULT_POINTWISE_INITIALIZER), r.pointwiseRegularizer = getRegularizer(n.pointwiseRegularizer), r.pointwiseConstraint = getConstraint(n.pointwiseConstraint), r;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    if ((e = getExactlyOneShape(e)).length < this.rank + 2) throw new ValueError(\"Inputs to SeparableConv\" + this.rank + \"D should have rank \" + (this.rank + 2) + \", but received input shape: \" + JSON.stringify(e));var t = \"channelsFirst\" === this.dataFormat ? 1 : e.length - 1;if (null == e[t] || e[t] < 0) throw new ValueError(\"The channel dimension of the inputs should be defined, but found \" + JSON.stringify(e[t]));for (var n = e[t], r = this.kernelSize.concat([n, this.depthMultiplier]), i = [], a = 0; a < this.rank; ++a) i.push(1);i.push(n * this.depthMultiplier, this.filters);var o;this.depthwiseKernel = this.addWeight(\"depthwise_kernel\", r, \"float32\", this.depthwiseInitializer, this.depthwiseRegularizer, !0, this.depthwiseConstraint), this.pointwiseKernel = this.addWeight(\"pointwise_kernel\", i, \"float32\", this.pointwiseInitializer, this.pointwiseRegularizer, !0, this.pointwiseConstraint), this.useBias ? this.bias = this.addWeight(\"bias\", [this.filters], \"float32\", this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.inputSpec = [new InputSpec({ ndim: this.rank + 2, axes: (o = {}, o[t] = n, o) })], this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t;if (e = getExactlyOneTensor(e), 1 === n.rank) throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2 === n.rank && (\"channelsFirst\" === n.dataFormat && (e = (0, _tfjsCore.transpose)(e, [0, 2, 3, 1])), t = (0, _tfjsCore.separableConv2d)(e, n.depthwiseKernel.read(), n.pointwiseKernel.read(), n.strides, n.padding, n.dilationRate, \"NHWC\")), n.useBias && (t = biasAdd(t, n.bias.read(), n.dataFormat)), null != n.activation && (t = n.activation.apply(t)), \"channelsFirst\" === n.dataFormat && (t = (0, _tfjsCore.transpose)(t, [0, 3, 1, 2])), t;\n    });\n  }, t.prototype.getConfig = function () {\n    var t = e.prototype.getConfig.call(this);return delete t.rank, delete t.kernelInitializer, delete t.kernelRegularizer, delete t.kernelConstraint, t.depthwiseInitializer = serializeInitializer(this.depthwiseInitializer), t.pointwiseInitializer = serializeInitializer(this.pointwiseInitializer), t.depthwiseRegularizer = serializeRegularizer(this.depthwiseRegularizer), t.pointwiseRegularizer = serializeRegularizer(this.pointwiseRegularizer), t.depthwiseConstraint = serializeConstraint(this.depthwiseConstraint), t.pointwiseConstraint = serializeConstraint(this.pointwiseConstraint), t;\n  }, t.className = \"SeparableConv\", t;\n}(Conv),\n    SeparableConv2D = function (e) {\n  function t(t) {\n    return e.call(this, 2, t) || this;\n  }return __extends(t, e), t.className = \"SeparableConv2D\", t;\n}(SeparableConv);_tfjsCore.serialization.SerializationMap.register(SeparableConv2D);var Conv1D = function (e) {\n  function t(n) {\n    var r = e.call(this, 1, n) || this;return t.verifyConfig(n), r.inputSpec = [{ ndim: 3 }], r;\n  }return __extends(t, e), t.prototype.getConfig = function () {\n    var t = e.prototype.getConfig.call(this);return delete t.rank, delete t.dataFormat, t;\n  }, t.verifyConfig = function (e) {\n    if (\"number\" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, \"number\", 1, 1)) throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \" + JSON.stringify(e.kernelSize) + \".\");\n  }, t.className = \"Conv1D\", t;\n}(Conv);_tfjsCore.serialization.SerializationMap.register(Conv1D);var Cropping2D = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return \"number\" == typeof t.cropping ? n.cropping = [[t.cropping, t.cropping], [t.cropping, t.cropping]] : \"number\" == typeof t.cropping[0] ? n.cropping = [[t.cropping[0], t.cropping[0]], [t.cropping[1], t.cropping[1]]] : n.cropping = t.cropping, n.dataFormat = void 0 === t.dataFormat ? \"channelsLast\" : t.dataFormat, n.inputSpec = [{ ndim: 4 }], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    return \"channelsFirst\" === this.dataFormat ? [e[0], e[1], e[2] - this.cropping[0][0] - this.cropping[0][1], e[2] - this.cropping[1][0] - this.cropping[1][1]] : [e[0], e[1] - this.cropping[0][0] - this.cropping[0][1], e[2] - this.cropping[1][0] - this.cropping[1][1], e[3]];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return e = getExactlyOneTensor(e), \"channelsLast\" === n.dataFormat ? sliceAlongAxis(sliceAlongAxis(e, n.cropping[0][0], e.shape[1] - n.cropping[0][0] - n.cropping[0][1], 2), n.cropping[1][0], e.shape[2] - n.cropping[1][1] - n.cropping[1][0], 3) : sliceAlongAxis(sliceAlongAxis(e, n.cropping[0][0], e.shape[2] - n.cropping[0][0] - n.cropping[0][1], 3), n.cropping[1][0], e.shape[3] - n.cropping[1][1] - n.cropping[1][0], 4);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { cropping: this.cropping, dataFormat: this.dataFormat },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Cropping2D\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Cropping2D);var UpSampling2D = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.DEFAULT_SIZE = [2, 2], n.inputSpec = [{ ndim: 4 }], n.size = void 0 === t.size ? n.DEFAULT_SIZE : t.size, n.dataFormat = void 0 === t.dataFormat ? \"channelsLast\" : t.dataFormat, n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    if (\"channelsFirst\" === this.dataFormat) {\n      var t = this.size[0] * e[2],\n          n = this.size[1] * e[3];return [e[0], e[1], t, n];\n    }t = this.size[0] * e[1], n = this.size[1] * e[2];return [e[0], t, n, e[3]];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e),\n          r = t.shape;if (\"channelsFirst\" === n.dataFormat) {\n        t = (0, _tfjsCore.transpose)(t, [0, 2, 3, 1]);var i = n.size[0] * r[2],\n            a = n.size[1] * r[3],\n            o = t.resizeNearestNeighbor([i, a]);return (0, _tfjsCore.transpose)(o, [0, 3, 1, 2]);\n      }i = n.size[0] * r[1], a = n.size[1] * r[2];return t.resizeNearestNeighbor([i, a]);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { size: this.size, dataFormat: this.dataFormat },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"UpSampling2D\", t;\n}(Layer);function depthwiseConv2d$1(e, t, n, r, i, a) {\n  return void 0 === n && (n = [1, 1]), void 0 === r && (r = \"valid\"), (0, _tfjsCore.tidy)(function () {\n    null == i && (i = imageDataFormat()), checkDataFormat(i);var o = preprocessConv2DInput(e, i);if (4 !== e.rank) throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \" + e.rank + \"-D\");if (4 !== t.rank) throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \" + t.rank + \"-D\");return o = (0, _tfjsCore.depthwiseConv2d)(o, t, n, \"same\" === r ? \"same\" : \"valid\", \"NHWC\", a), \"channelsFirst\" === i && (o = (0, _tfjsCore.transpose)(o, [0, 3, 1, 2])), o;\n  });\n}_tfjsCore.serialization.SerializationMap.register(UpSampling2D);var DepthwiseConv2D = function (e) {\n  function t(t) {\n    var n = e.call(this, 2, t) || this;return n.depthwiseKernel = null, n.depthMultiplier = null == t.depthMultiplier ? 1 : t.depthMultiplier, n.depthwiseInitializer = getInitializer(t.depthwiseInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.depthwiseConstraint = getConstraint(t.depthwiseConstraint), n.depthwiseRegularizer = getRegularizer(t.depthwiseRegularizer), n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    if ((e = getExactlyOneShape(e)).length < 4) throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \" + JSON.stringify(e) + \".\");var t = \"channelsFirst\" === this.dataFormat ? 1 : 3;if (null == e[t] || e[t] < 0) throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\" + e[t] + \").\");var n = e[t],\n        r = [this.kernelSize[0], this.kernelSize[1], n, this.depthMultiplier];this.depthwiseKernel = this.addWeight(\"depthwise_kernel\", r, null, this.depthwiseInitializer, this.depthwiseRegularizer, !0, this.depthwiseConstraint), this.useBias ? this.bias = this.addWeight(\"bias\", [n * this.depthMultiplier], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t = depthwiseConv2d$1(e = getExactlyOneTensor(e), n.depthwiseKernel.read(), n.strides, n.padding, n.dataFormat, null);return n.useBias && (t = biasAdd(t, n.bias.read(), n.dataFormat)), null != n.activation && (t = n.activation.apply(t)), t;\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    e = getExactlyOneShape(e);var t = \"channelsFirst\" === this.dataFormat ? e[2] : e[1],\n        n = \"channelsFirst\" === this.dataFormat ? e[3] : e[2],\n        r = \"channelsFirst\" === this.dataFormat ? e[1] * this.depthMultiplier : e[3] * this.depthMultiplier,\n        i = convOutputLength(t, this.kernelSize[0], this.padding, this.strides[0]),\n        a = convOutputLength(n, this.kernelSize[1], this.padding, this.strides[1]);return \"channelsFirst\" === this.dataFormat ? [e[0], r, i, a] : [e[0], i, a, r];\n  }, t.className = \"DepthwiseConv2D\", t;\n}(BaseConv);_tfjsCore.serialization.SerializationMap.register(DepthwiseConv2D);var Dropout = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;if (n.rate = Math.max(Math.min(t.rate, 1), 0), n.rateScalar = getScalar(n.rate), n.noiseShape = t.noiseShape, n.seed = t.seed, null != n.seed) throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \" + n.seed);return n.supportsMasking = !0, n;\n  }return __extends(t, e), t.prototype.getNoiseShape = function (e) {\n    if (null == this.noiseShape) return this.noiseShape;for (var t = e.shape, n = [], r = 0; r < this.noiseShape.length; ++r) n.push(null == this.noiseShape[r] ? t[r] : this.noiseShape[r]);return n;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);if (null != n.noiseShape && !_tfjsCore.util.arraysEqual(r.shape, n.noiseShape)) throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \" + JSON.stringify(n.noiseShape));if (0 < n.rate && n.rate < 1) {\n        var i = null != t.training && t.training,\n            a = n.getNoiseShape(r);return inTrainPhase(function () {\n          return dropout(r, n.rateScalar, a, n.seed);\n        }, function () {\n          return r;\n        }, i);\n      }return e;\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { rate: this.rate, noiseShape: this.noiseShape, seed: this.seed },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Dropout\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Dropout);var Dense = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;if (n.activation = null, n.useBias = !0, n.kernel = null, n.bias = null, n.DEFAULT_KERNEL_INITIALIZER = \"glorotNormal\", n.DEFAULT_BIAS_INITIALIZER = \"zeros\", null == t.batchInputShape && null == t.inputShape && null != t.inputDim) {\n      var r = null;null != t.batchSize && (r = t.batchSize), n.batchInputShape = [r, t.inputDim];\n    }return n.units = t.units, n.activation = getActivation(t.activation), null != t.useBias && (n.useBias = t.useBias), n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelConstraint = getConstraint(t.kernelConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.activityRegularizer = getRegularizer(t.activityRegularizer), n.inputSpec = [{ minNDim: 2 }], n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    var t,\n        n = (e = getExactlyOneShape(e))[e.length - 1];null == this.kernel && (this.kernel = this.addWeight(\"kernel\", [n, this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight(\"bias\", [this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint))), this.inputSpec = [{ minNDim: 2, axes: (t = {}, t[-1] = n, t) }], this.built = !0;\n  }, t.prototype.computeOutputShape = function (e) {\n    var t = (e = getExactlyOneShape(e)).slice();return t[t.length - 1] = this.units, t;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t);var r = dot(getExactlyOneTensor(e), n.kernel.read());return null != n.bias && (r = biasAdd(r, n.bias.read())), null != n.activation && (r = n.activation.apply(r)), r;\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), biasConstraint: serializeConstraint(this.biasConstraint) },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Dense\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Dense);var Flatten = function (e) {\n  function t(t) {\n    var n = e.call(this, t || {}) || this;return n.inputSpec = [{ minNDim: 3 }], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    for (var t = 0, n = (e = getExactlyOneShape(e)).slice(1); t < n.length; t++) {\n      if (null == n[t]) throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got ' + e.slice(1) + '). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.');\n    }return [e[0], arrayProd(e, 1)];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return n.invokeCallHook(e, t), batchFlatten(getExactlyOneTensor(e));\n    });\n  }, t.className = \"Flatten\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Flatten);var Activation$1 = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.supportsMasking = !0, n.activation = getActivation(t.activation), n;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);return n.activation.apply(r);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { activation: serializeActivation(this.activation) },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Activation\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Activation$1);var RepeatVector = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.n = t.n, n.inputSpec = [{ ndim: 2 }], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    return [e[0], this.n, e[1]];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return repeat(e = getExactlyOneTensor(e), n.n);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { n: this.n },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"RepeatVector\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(RepeatVector);var Reshape = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;n.targetShape = t.targetShape;for (var r = 0; r < n.targetShape.length; ++r) n.isUnknown(n.targetShape[r]) && (n.targetShape[r] = null);return n;\n  }return __extends(t, e), t.prototype.isUnknown = function (e) {\n    return e < 0 || null == e;\n  }, t.prototype.fixUnknownDimension = function (e, t) {\n    for (var n = \"Total size of new array must be unchanged.\", r = t.slice(), i = 1, a = null, o = 0; o < r.length; ++o) {\n      var s = r[o];if (this.isUnknown(s)) {\n        if (null !== a) throw new ValueError(\"Can only specifiy one unknown dimension.\");a = o;\n      } else i *= s;\n    }var l = arrayProd(e);if (null !== a) {\n      if (0 === i || l % i != 0) throw new ValueError(n);r[a] = l / i;\n    } else if (l !== i) throw new ValueError(n);return r;\n  }, t.prototype.computeOutputShape = function (e) {\n    for (var t = !1, n = 0; n < e.length; ++n) if (this.isUnknown(e[n])) {\n      t = !0;break;\n    }return t ? e.slice(0, 1).concat(this.targetShape) : e.slice(0, 1).concat(this.fixUnknownDimension(e.slice(1), this.targetShape));\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e),\n          i = shape(r),\n          a = i.slice(0, 1).concat(n.fixUnknownDimension(i.slice(1), n.targetShape));return r.reshape(a);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { targetShape: this.targetShape },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Reshape\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Reshape);var Embedding = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;if (n.embeddings = null, n.DEFAULT_EMBEDDINGS_INITIALIZER = \"randomUniform\", null == t.batchInputShape && null == t.inputShape) {\n      var r = null;null != t.batchSize && (r = t.batchSize), null == t.inputLength ? n.batchInputShape = [r, null] : n.batchInputShape = [r].concat(toList(t.inputLength));\n    }return n.inputDim = t.inputDim, n.outputDim = t.outputDim, n.embeddingsInitializer = getInitializer(t.embeddingsInitializer || n.DEFAULT_EMBEDDINGS_INITIALIZER), n.embeddingsRegularizer = getRegularizer(t.embeddingsRegularizer), n.activityRegularizer = getRegularizer(t.activityRegularizer), n.embeddingsConstraint = getConstraint(t.embeddingsConstraint), n.maskZero = t.maskZero, n.inputLength = t.inputLength, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    this.embeddings = this.addWeight(\"embeddings\", [this.inputDim, this.outputDim], this.dtype, this.embeddingsInitializer, this.embeddingsRegularizer, !0, this.embeddingsConstraint), this.built = !0;\n  }, t.prototype.computeMask = function (e, t) {\n    throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\");\n  }, t.prototype.computeOutputShape = function (e) {\n    if (e = getExactlyOneShape(e), null == this.inputLength) return e.concat([this.outputDim]);var t = toList(this.inputLength);if (t.length !== e.length - 1) throw new ValueError('\"inputLength\" is ' + this.inputLength + \", but received input shape has shape \" + e);for (var n = 0, r = 0; r < t.length; ++r) {\n      var i = t[r],\n          a = e[r + 1];if (null != i && null != a && i !== a) throw new ValueError('\"inputLength\" is ' + this.inputLength + \", but received input shape has shape \" + e);null == i && (t[n] = a), n++;\n    }return [e[0]].concat(t, [this.outputDim]);\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);return \"int32\" !== dtype(r) && (r = cast(r, \"int32\")), gather$1(n.embeddings.read(), r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)));\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { inputDim: this.inputDim, outputDim: this.outputDim, embeddingsInitializer: serializeInitializer(this.embeddingsInitializer), embeddingsRegularizer: serializeRegularizer(this.embeddingsRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), embeddingsConstraint: serializeConstraint(this.embeddingsConstraint), maskZero: this.maskZero, inputLength: this.inputLength },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Embedding\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(Embedding);var Merge = function (e) {\n  function t(t) {\n    var n = e.call(this, t || {}) || this;return n.supportsMasking = !0, n;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    throw new NotImplementedError();\n  }, t.prototype.computeElementwiseOpOutputShape = function (e, t) {\n    if (null == e || null == t) return null;if (e.length < t.length) return this.computeElementwiseOpOutputShape(t, e);if (0 === t.length) return e;for (var n = e.slice(0, e.length - t.length), r = 0; r < t.length; ++r) {\n      var i = e[e.length - t.length + r],\n          a = t[r];if (null == i || null == a || i < 0 || a < 0) n.push(null);else if (1 === i) n.push(a);else if (1 === a) n.push(i);else {\n        if (i !== a) throw new ValueError(\"Operands could not be broadcast together with shapes \" + JSON.stringify(e) + \" \" + JSON.stringify(t));n.push(i);\n      }\n    }return n;\n  }, t.prototype.build = function (e) {\n    if (Array.isArray(e) && !Array.isArray(e[0]) && (e = [getExactlyOneShape(e)]), (e = e).length < 2) throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \" + e.length + \" input(s).\");for (var t = [], n = 0, r = e; n < r.length; n++) {\n      null != (o = r[n]) && null !== o[0] && t.push(o[0]);\n    }if ((t = unique(t)).length > 1) throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \" + JSON.stringify(e) + \".\");for (var i = null == e[0] ? null : e[0].slice(1), a = 1; a < e.length; ++a) {\n      var o = null == e[a] ? null : e[a].slice(1);i = this.computeElementwiseOpOutputShape(i, o);\n    }var s = e.map(function (e) {\n      return e.length;\n    });-1 === e.indexOf(null) && 1 === unique(s).length ? this.reshapeRequired = !1 : this.reshapeRequired = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (e = e, n.reshapeRequired) {\n        var t = [],\n            r = e.map(function (e) {\n          return e.rank;\n        });if (-1 === r.indexOf(null)) {\n          for (var i = max$1(r), a = 0, o = e; a < o.length; a++) {\n            for (var s = (h = o[a]).rank, l = 0; l < i - s; ++l) h = expandDims(h, 1);t.push(h);\n          }return n.mergeFunction(t);\n        }for (var u = !1, c = 0, p = e; c < p.length; c++) {\n          var h;if (null == (s = (h = p[c]).rank)) {\n            var d = shape(h),\n                g = d[0],\n                f = d.slice(1).concat([g]),\n                m = h.reshape([g].concat(arrayProd(d.slice(1))));m = (m = (0, _tfjsCore.transpose)(m, [1, 0])).reshape(f), t.push(m), u = !0;\n          } else if (s > 1) {\n            var y = range(1, s).concat([0]);t.push((0, _tfjsCore.transpose)(h, y)), u = !0;\n          } else t.push(h);\n        }var v = n.mergeFunction(t),\n            b = v.rank;if (u) if (null == b) {\n          var z = shape(v);f = [g = z[z.length - 1]].concat(z.slice(0, z.length - 1));v = (0, _tfjsCore.transpose)(v.reshape([-1, g]), [1, 0]).reshape(f);\n        } else if (b > 1) {\n          y = [b - 1].concat(range(0, b - 1));v = (0, _tfjsCore.transpose)(v, y);\n        }return v;\n      }return n.mergeFunction(e);\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    var t;t = null == (e = e)[0] ? null : e[0].slice(1);for (var n = 1; n < e.length; ++n) {\n      var r = null == e[n] ? null : e[n].slice(1);t = this.computeElementwiseOpOutputShape(t, r);\n    }for (var i = [], a = 0, o = e; a < o.length; a++) {\n      null != (r = o[a]) && null !== r[0] && i.push(r[0]);\n    }return t = 1 === (i = unique(i)).length ? i.concat(t) : [null].concat(t);\n  }, t;\n}(Layer),\n    Add = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      for (var t = (0, _tfjsCore.zeros)(e[0].shape), n = 0, r = e; n < r.length; n++) {\n        var i = r[n];t = (0, _tfjsCore.add)(t, i);\n      }return t;\n    });\n  }, t.className = \"Add\", t;\n}(Merge);_tfjsCore.serialization.SerializationMap.register(Add);var Multiply = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      for (var t = (0, _tfjsCore.ones)(e[0].shape), n = 0, r = e; n < r.length; n++) {\n        var i = r[n];t = (0, _tfjsCore.mul)(t, i);\n      }return t;\n    });\n  }, t.className = \"Multiply\", t;\n}(Merge);_tfjsCore.serialization.SerializationMap.register(Multiply);var Average = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      for (var t = (0, _tfjsCore.zeros)(e[0].shape), n = 0, r = e; n < r.length; n++) {\n        var i = r[n];t = (0, _tfjsCore.add)(t, i);\n      }return scalarTimesArray(getScalar(1 / e.length), t);\n    });\n  }, t.className = \"Average\", t;\n}(Merge);_tfjsCore.serialization.SerializationMap.register(Average);var Maximum = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      for (var t = e[0], n = 1; n < e.length; ++n) t = (0, _tfjsCore.maximum)(t, e[n]);return t;\n    });\n  }, t.className = \"Maximum\", t;\n}(Merge);_tfjsCore.serialization.SerializationMap.register(Maximum);var Minimum = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.mergeFunction = function (e) {\n    return (0, _tfjsCore.tidy)(function () {\n      for (var t = e[0], n = 1; n < e.length; ++n) t = (0, _tfjsCore.minimum)(t, e[n]);return t;\n    });\n  }, t.className = \"Minimum\", t;\n}(Merge);_tfjsCore.serialization.SerializationMap.register(Minimum);var Concatenate = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.DEFAULT_AXIS = -1, null == t && (t = {}), n.axis = null == t.axis ? n.DEFAULT_AXIS : t.axis, n.supportsMasking = !0, n.reshapeRequired = !1, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    if (!Array.isArray(e) || !Array.isArray(e[0]) || 1 === e.length) throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for (var t = !0, n = 0, r = e = e; n < r.length; n++) {\n      if (null != (c = r[n])) {\n        t = !1;break;\n      }\n    }if (!t) {\n      for (var i = [], a = 0; a < e.length; ++a) {\n        var o = e[a].slice();o.splice(this.axis, 1);for (var s = !1, l = 0, u = i; l < u.length; l++) {\n          var c = u[l];if (_tfjsCore.util.arraysEqual(c, o)) {\n            s = !0;break;\n          }\n        }s || i.push(o);\n      }if (i.length > 1) throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \" + JSON.stringify(e));\n    }\n  }, t.prototype.mergeFunction = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      return concatenate(e, t.axis);\n    });\n  }, t.prototype.computeOutputShape = function (e) {\n    if (!Array.isArray(e) || !Array.isArray(e[0])) throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for (var t = e, n = t[0].slice(), r = this.axis < 0 ? n.length + this.axis : this.axis, i = 0, a = t.slice(1); i < a.length; i++) {\n      var o = a[i];if (null == n[r] || null == o[r]) {\n        n[r] = null;break;\n      }n[r] += o[r];\n    }return n;\n  }, t.prototype.getConfig = function () {\n    var t = { axis: this.axis },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"Concatenate\", t;\n}(Merge);function batchNormalization(e, t, n, r, i, a) {\n  var o;if (void 0 === a && (a = .001), 2 === e.rank) o = (0, _tfjsCore.batchNormalization2d)(e, t, n, a, i, r);else if (3 === e.rank) o = (0, _tfjsCore.batchNormalization3d)(e, t, n, a, i, r);else {\n    if (4 !== e.rank) throw new NotImplementedError(\"batchNormalization is not implememnted for array of rank \" + e.rank + \" yet\");o = (0, _tfjsCore.batchNormalization4d)(e, t, n, a, i, r);\n  }return o;\n}function regularNormalizeBatchInTraining(e, t, n, r, i) {\n  return void 0 === i && (i = .001), (0, _tfjsCore.tidy)(function () {\n    var a = (0, _tfjsCore.moments)(e, r),\n        o = a.mean,\n        s = a.variance;return [batchNormalization(e, o, s, n, t, i), o, s];\n  });\n}function broadcastNormalizeBatchInTraining(e, t, n, r, i) {\n  return void 0 === i && (i = .001), (0, _tfjsCore.tidy)(function () {\n    for (var a = (0, _tfjsCore.moments)(e, r), o = a.mean, s = a.variance, l = [], u = 0, c = range(0, e.rank); u < c.length; u++) {\n      var p = c[u];-1 !== r.indexOf(p) ? l.push(1) : l.push(e.shape[p]);\n    }var h = o.reshape(l),\n        d = s.reshape(l),\n        g = null == t ? null : t.reshape(l),\n        f = null == n ? null : n.reshape(l);return [batchNormalization(e, h, d, f, g, i), o, s];\n  });\n}function normalizeBatchInTraining(e, t, n, r, i) {\n  return void 0 === i && (i = .001), _tfjsCore.util.arraysEqual(r.slice().sort(), range(0, e.rank - 1)) ? regularNormalizeBatchInTraining(e, t, n, r, i) : broadcastNormalizeBatchInTraining(e, t, n, r, i);\n}_tfjsCore.serialization.SerializationMap.register(Concatenate);var BatchNormalization = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.supportsMasking = !0, n.axis = null == t.axis ? -1 : t.axis, n.momentum = null == t.momentum ? .99 : t.momentum, n.epsilon = null == t.epsilon ? .001 : t.epsilon, n.center = null == t.center || t.center, n.scale = null == t.scale || t.scale, n.betaInitializer = getInitializer(t.betaInitializer || \"zeros\"), n.gammaInitializer = getInitializer(t.gammaInitializer || \"ones\"), n.movingMeanInitializer = getInitializer(t.movingMeanInitializer || \"zeros\"), n.movingVarianceInitializer = getInitializer(t.movingVarianceInitializer || \"ones\"), n.betaConstraint = getConstraint(t.betaConstraint), n.gammaConstraint = getConstraint(t.gammaConstraint), n.betaRegularizer = getRegularizer(t.betaRegularizer), n.gammaRegularizer = getRegularizer(t.gammaRegularizer), n.stepCount = 0, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    e = getExactlyOneShape(e);var t = this.axis >= 0 ? this.axis : this.axis + e.length,\n        n = e[t];if (null == n) throw new ValueError(\"Axis \" + t + \" of input tensor should have a defined dimension but the layer received an input with shape \" + JSON.stringify(e) + \".\");this.inputSpec = [new InputSpec({ ndim: e.length, axes: (r = {}, r[t] = n, r) })];var r,\n        i = [n];this.scale && (this.gamma = this.addWeight(\"gamma\", i, null, this.gammaInitializer, this.gammaRegularizer, !0, this.gammaConstraint)), this.center && (this.beta = this.addWeight(\"beta\", i, null, this.betaInitializer, this.betaRegularizer, !0, this.betaConstraint)), this.movingMean = this.addWeight(\"moving_mean\", i, null, this.movingMeanInitializer, null, !1), this.movingVariance = this.addWeight(\"moving_variance\", i, null, this.movingVarianceInitializer, null, !1), this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var r = null != t.training && t.training,\n          i = getExactlyOneTensor(e),\n          a = shape(i),\n          o = a.length,\n          s = range(0, o),\n          l = n.axis >= 0 ? n.axis : n.axis + o;s.splice(l, 1);var u = pyListRepeat(1, o);u[l] = a[l];var c = s.slice();c.sort();var p = !_tfjsCore.util.arraysEqual(c, range(0, o).slice(0, o - 1));if (!r) return function () {\n        if (p) {\n          var e = n.movingMean.read().reshape(u),\n              t = n.movingVariance.read().reshape(u),\n              r = n.center ? n.beta.read().reshape(u) : null,\n              a = n.scale ? n.gamma.read().reshape(u) : null;return batchNormalization(i, e, t, r, a, n.epsilon);\n        }return batchNormalization(i, n.movingMean.read(), n.movingVariance.read(), null == n.beta ? null : n.beta.read(), null == n.gamma ? null : n.gamma.read(), n.epsilon);\n      }();var h = normalizeBatchInTraining(i, n.gamma.read(), n.beta.read(), s, n.epsilon),\n          d = h[0],\n          g = h[1],\n          f = h[2],\n          m = arrayProd(s.map(function (e) {\n        return i.shape[e];\n      })),\n          y = f.mul(getScalar(m / (m - (1 + n.epsilon))));return function () {\n        n.stepCount++;var e = (0, _tfjsCore.movingAverage)(n.movingMean.read(), g, n.momentum, n.stepCount);n.movingMean.write(e);var t = (0, _tfjsCore.movingAverage)(n.movingVariance.read(), y, n.momentum, n.stepCount);n.movingVariance.write(t);\n      }(), d;\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { axis: this.axis, momentum: this.momentum, epsilon: this.epsilon, center: this.center, scale: this.scale, betaInitializer: serializeInitializer(this.betaInitializer), gammaInitializer: serializeInitializer(this.gammaInitializer), movingMeanInitializer: serializeInitializer(this.movingMeanInitializer), movingVarianceInitializer: serializeInitializer(this.movingVarianceInitializer), betaRegularizer: serializeRegularizer(this.betaRegularizer), gammaRegularizer: serializeRegularizer(this.gammaRegularizer), betaConstraint: serializeConstraint(this.betaConstraint), gammaConstraint: serializeConstraint(this.gammaConstraint) },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"BatchNormalization\", t;\n}(Layer);function spatial2dPadding(e, t, n) {\n  return (0, _tfjsCore.tidy)(function () {\n    if (4 !== e.rank) throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \" + e.rank + \"-D tensor.\");if (null == t && (t = [[1, 1], [1, 1]]), 2 !== t.length || 2 !== t[0].length || 2 !== t[1].length) throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if (null == n && (n = imageDataFormat()), \"channelsLast\" !== n && \"channelsFirst\" !== n) throw new ValueError(\"Unknown data format: \" + n + \". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r = \"channelsFirst\" === n ? [[0, 0], [0, 0], t[0], t[1]] : [[0, 0], t[0], t[1], [0, 0]], (0, _tfjsCore.pad)(e, r);\n  });\n}_tfjsCore.serialization.SerializationMap.register(BatchNormalization);var ZeroPadding2D = function (e) {\n  function t(t) {\n    var n = this;if (null == t && (t = {}), (n = e.call(this, t) || this).dataFormat = null == t.dataFormat ? imageDataFormat() : t.dataFormat, null == t.padding) n.padding = [[1, 1], [1, 1]];else if (\"number\" == typeof t.padding) n.padding = [[t.padding, t.padding], [t.padding, t.padding]];else {\n      if (t.padding = t.padding, 2 !== t.padding.length) throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\" + t.padding.length + \" array.\");var r = void 0,\n          i = void 0;if (\"number\" == typeof t.padding[0]) r = [t.padding[0], t.padding[0]], i = [t.padding[1], t.padding[1]];else {\n        if (t.padding = t.padding, 2 !== t.padding[0].length) throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\" + t.padding[0].length + \" array.\");if (r = t.padding[0], 2 !== t.padding[1].length) throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\" + t.padding[1].length + \" array.\");i = t.padding[1];\n      }n.padding = [r, i];\n    }return n.inputSpec = [new InputSpec({ ndim: 4 })], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    var t, n;return e = getExactlyOneShape(e), \"channelsFirst\" === this.dataFormat ? (t = null != e[2] && e[2] >= 0 ? e[2] + this.padding[0][0] + this.padding[0][1] : null, n = null != e[3] && e[3] >= 0 ? e[3] + this.padding[1][0] + this.padding[1][1] : null, [e[0], e[1], t, n]) : (t = null != e[1] && e[1] >= 0 ? e[1] + this.padding[0][0] + this.padding[0][1] : null, n = null != e[2] && e[2] >= 0 ? e[2] + this.padding[1][0] + this.padding[1][1] : null, [e[0], t, n, e[3]]);\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return spatial2dPadding(getExactlyOneTensor(e), n.padding, n.dataFormat);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { padding: this.padding, dataFormat: this.dataFormat },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"ZeroPadding2D\", t;\n}(Layer);function pool2d(e, t, n, r, i, a) {\n  return (0, _tfjsCore.tidy)(function () {\n    var o;checkDataFormat(i), checkPoolMode(a), checkPaddingMode(r), null == n && (n = [1, 1]), null == r && (r = \"valid\"), null == i && (i = imageDataFormat()), null == a && (a = \"max\"), e = preprocessConv2DInput(e, i);var s = \"same\" === r ? \"same\" : \"valid\";return o = \"max\" === a ? (0, _tfjsCore.maxPool)(e, t, n, s) : (0, _tfjsCore.avgPool)(e, t, n, s), \"channelsFirst\" === i && (o = (0, _tfjsCore.transpose)(o, [0, 3, 1, 2])), o;\n  });\n}_tfjsCore.serialization.SerializationMap.register(ZeroPadding2D);var Pooling1D = function (e) {\n  function t(t) {\n    var n = this;if (null == t.poolSize && (t.poolSize = 2), n = e.call(this, t) || this, \"number\" == typeof t.poolSize) n.poolSize = [t.poolSize];else {\n      if (!Array.isArray(t.poolSize) || 1 !== t.poolSize.length || \"number\" != typeof t.poolSize[0]) throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \" + JSON.stringify(t.poolSize));n.poolSize = t.poolSize;\n    }if (null == t.strides) n.strides = n.poolSize;else if (\"number\" == typeof t.strides) n.strides = [t.strides];else {\n      if (!Array.isArray(t.strides) || 1 !== t.strides.length || \"number\" != typeof t.strides[0]) throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \" + JSON.stringify(t.strides));n.strides = t.strides;\n    }return n.padding = null == t.padding ? \"valid\" : t.padding, checkPaddingMode(n.padding), n.inputSpec = [new InputSpec({ ndim: 3 })], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    var t = convOutputLength((e = getExactlyOneShape(e))[1], this.poolSize[0], this.padding, this.strides[0]);return [e[0], t, e[2]];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      n.invokeCallHook(e, t), e = expandDims(getExactlyOneTensor(e), 2);var r = n.poolingFunction(getExactlyOneTensor(e), [n.poolSize[0], 1], [n.strides[0], 1], n.padding, \"channelsLast\");return (0, _tfjsCore.squeeze)(r, [2]);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { poolSize: this.poolSize, padding: this.padding, strides: this.strides },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t;\n}(Layer),\n    MaxPooling1D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {\n    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, \"max\");\n  }, t.className = \"MaxPooling1D\", t;\n}(Pooling1D);_tfjsCore.serialization.SerializationMap.register(MaxPooling1D);var AveragePooling1D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {\n    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, \"avg\");\n  }, t.className = \"AveragePooling1D\", t;\n}(Pooling1D);_tfjsCore.serialization.SerializationMap.register(AveragePooling1D);var Pooling2D = function (e) {\n  function t(t) {\n    var n = this;if (null == t.poolSize && (t.poolSize = [2, 2]), (n = e.call(this, t) || this).poolSize = Array.isArray(t.poolSize) ? t.poolSize : [t.poolSize, t.poolSize], null == t.strides) n.strides = n.poolSize;else if (Array.isArray(t.strides)) {\n      if (2 !== t.strides.length) throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \" + t.strides.length + \".\");n.strides = t.strides;\n    } else n.strides = [t.strides, t.strides];return n.padding = null == t.padding ? \"valid\" : t.padding, n.dataFormat = null == t.dataFormat ? \"channelsLast\" : t.dataFormat, checkDataFormat(n.dataFormat), checkPaddingMode(n.padding), n.inputSpec = [new InputSpec({ ndim: 4 })], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    e = getExactlyOneShape(e);var t = \"channelsFirst\" === this.dataFormat ? e[2] : e[1],\n        n = \"channelsFirst\" === this.dataFormat ? e[3] : e[2];return t = convOutputLength(t, this.poolSize[0], this.padding, this.strides[0]), n = convOutputLength(n, this.poolSize[1], this.padding, this.strides[1]), \"channelsFirst\" === this.dataFormat ? [e[0], e[1], t, n] : [e[0], t, n, e[3]];\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return n.invokeCallHook(e, t), n.poolingFunction(getExactlyOneTensor(e), n.poolSize, n.strides, n.padding, n.dataFormat);\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { poolSize: this.poolSize, padding: this.padding, strides: this.strides, dataFormat: this.dataFormat },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t;\n}(Layer),\n    MaxPooling2D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {\n    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, \"max\");\n  }, t.className = \"MaxPooling2D\", t;\n}(Pooling2D);_tfjsCore.serialization.SerializationMap.register(MaxPooling2D);var AveragePooling2D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {\n    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, \"avg\");\n  }, t.className = \"AveragePooling2D\", t;\n}(Pooling2D);_tfjsCore.serialization.SerializationMap.register(AveragePooling2D);var GlobalPooling1D = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.inputSpec = [new InputSpec({ ndim: 3 })], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    return [e[0], e[2]];\n  }, t.prototype.call = function (e, t) {\n    throw new NotImplementedError();\n  }, t;\n}(Layer),\n    GlobalAveragePooling1D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e);return (0, _tfjsCore.mean)(t, 1);\n    });\n  }, t.className = \"GlobalAveragePooling1D\", t;\n}(GlobalPooling1D);_tfjsCore.serialization.SerializationMap.register(GlobalAveragePooling1D);var GlobalMaxPooling1D = function (e) {\n  function t(t) {\n    return e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e);return (0, _tfjsCore.max)(t, 1);\n    });\n  }, t.className = \"GlobalMaxPooling1D\", t;\n}(GlobalPooling1D);_tfjsCore.serialization.SerializationMap.register(GlobalMaxPooling1D);var GlobalPooling2D = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.dataFormat = null == t.dataFormat ? \"channelsLast\" : t.dataFormat, checkDataFormat(n.dataFormat), n.inputSpec = [new InputSpec({ ndim: 4 })], n;\n  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {\n    return e = e, \"channelsLast\" === this.dataFormat ? [e[0], e[3]] : [e[0], e[1]];\n  }, t.prototype.call = function (e, t) {\n    throw new NotImplementedError();\n  }, t.prototype.getConfig = function () {\n    var t = { dataFormat: this.dataFormat },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t;\n}(Layer),\n    GlobalAveragePooling2D = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e);return \"channelsLast\" === n.dataFormat ? (0, _tfjsCore.mean)(t, [1, 2]) : (0, _tfjsCore.mean)(t, [2, 3]);\n    });\n  }, t.className = \"GlobalAveragePooling2D\", t;\n}(GlobalPooling2D);_tfjsCore.serialization.SerializationMap.register(GlobalAveragePooling2D);var GlobalMaxPooling2D = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var t = getExactlyOneTensor(e);return \"channelsLast\" === n.dataFormat ? (0, _tfjsCore.max)(t, [1, 2]) : (0, _tfjsCore.max)(t, [2, 3]);\n    });\n  }, t.className = \"GlobalMaxPooling2D\", t;\n}(GlobalPooling2D);function rnn(e, t, n, r, i, a, o, s) {\n  void 0 === r && (r = !1), void 0 === o && (o = !1);var l = t.shape.length;if (l < 3) throw new ValueError(\"Input should be at least 3D, but is \" + l + \"D.\");var u,\n      c,\n      p = [1, 0].concat(range(2, l));if (t = (0, _tfjsCore.transpose)(t, p), null != i) throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if (null != a) throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o && console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"), r && (t = (0, _tfjsCore.reverse)(t, 0));for (var h = n, d = t.shape[0], g = 0; g < d; ++g) {\n    var f = sliceAlongFirstAxis(t, g, 1),\n        m = e(f = f.reshape(f.shape.slice(1)), h);c = m[0], u = 0 === g ? c.reshape([1].concat(c.shape)) : concatAlongFirstAxis(u, c.reshape([1].concat(c.shape))), h = m[1];\n  }return [c, (0, _tfjsCore.transpose)(u, [1, 0].concat(range(2, u.shape.length))), h];\n}_tfjsCore.serialization.SerializationMap.register(GlobalMaxPooling2D);var RNN = function (e) {\n  function t(t) {\n    var n,\n        r = e.call(this, t) || this;if (null == t.cell) throw new ValueError(\"cell property is missing for the constructor of RNN.\");if (null == (n = Array.isArray(t.cell) ? new StackedRNNCells({ cells: t.cell }) : t.cell).stateSize) throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell = n, r.returnSequences = null != t.returnSequences && t.returnSequences, r.returnState = null != t.returnState && t.returnState, r.goBackwards = null != t.goBackwards && t.goBackwards, r._stateful = null != t.stateful && t.stateful, r.unroll = null != t.unroll && t.unroll, r.supportsMasking = !0, r.inputSpec = [new InputSpec({ ndim: 3 })], r.stateSpec = null, r.states = null, r.numConstants = null, r;\n  }return __extends(t, e), t.prototype.getStates = function () {\n    return null == this.states ? range(0, Array.isArray(this.cell.stateSize) ? this.cell.stateSize.length : 1).map(function (e) {\n      return null;\n    }) : this.states;\n  }, t.prototype.setStates = function (e) {\n    this.states = e;\n  }, t.prototype.computeOutputShape = function (e) {\n    isArrayOfShapes(e) && (e = e[0]), e = e;var t = this.cell.stateSize;Array.isArray(t) || (t = [t]);var n,\n        r = t[0];if (n = this.returnSequences ? [e[0], e[1], r] : [e[0], r], this.returnState) {\n      for (var i = [], a = 0, o = t; a < o.length; a++) {\n        var s = o[a];i.push([e[0], s]);\n      }return [n].concat(i);\n    }return n;\n  }, t.prototype.computeMask = function (e, t) {\n    throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\");\n  }, t.prototype.build = function (e) {\n    if (null != this.numConstants) throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e) && (e = e[0]), e = e;var t = this.stateful ? e[0] : null,\n        n = e[e.length - 1];this.inputSpec[0] = new InputSpec({ shape: [t, null, n] });var r,\n        i = [e[0]].concat(e.slice(2));if (this.cell.build(i), r = Array.isArray(this.cell.stateSize) ? this.cell.stateSize : [this.cell.stateSize], null != this.stateSpec) {\n      if (!_tfjsCore.util.arraysEqual(this.stateSpec.map(function (e) {\n        return e.shape[e.shape.length - 1];\n      }), r)) throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\" + this.stateSpec + \"; However cell.stateSize is \" + this.cell.stateSize);\n    } else this.stateSpec = r.map(function (e) {\n      return new InputSpec({ shape: [null, e] });\n    });if (this.stateful) throw new NotImplementedError(\"stateful RNN layer is not implemented yet\");\n  }, t.prototype.resetStates = function (e) {\n    var t = this;(0, _tfjsCore.tidy)(function () {\n      if (!t.stateful) throw new AttributeError(\"Cannot call resetState() on an RNN Layer that is not stateful.\");var n = t.inputSpec[0].shape[0];if (null == n) throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if (null == t.states) Array.isArray(t.cell.stateSize) ? t.states = t.cell.stateSize.map(function (e) {\n        return (0, _tfjsCore.zeros)([n, e]);\n      }) : t.states = [(0, _tfjsCore.zeros)([n, t.cell.stateSize])];else if (null == e) Array.isArray(t.cell.stateSize) ? t.states = t.cell.stateSize.map(function (e) {\n        return (0, _tfjsCore.zeros)([n, e]);\n      }) : t.states[0] = (0, _tfjsCore.zeros)([n, t.cell.stateSize]);else {\n        if (Array.isArray(e) || (e = [e]), e.length !== t.states.length) throw new ValueError(\"Layer \" + t.name + \" expects \" + t.states.length + \" state(s), but it received \" + e.length + \" state value(s). Input received: \" + e);for (var r = 0; r < t.states.length; ++r) {\n          var i = e[r],\n              a = Array.isArray(t.cell.stateSize) ? t.cell.stateSize[r] : t.cell.stateSize,\n              o = [n, a];if (!_tfjsCore.util.arraysEqual(i.shape, o)) throw new ValueError(\"State \" + r + \" is incompatible with layer \" + t.name + \": expected shape=\" + o + \", received shape=\" + i.shape);t.states[r] = i;\n        }\n      }\n    });\n  }, t.prototype.standardizeArgs = function (e, t, n) {\n    if (Array.isArray(e)) {\n      if (null != t || null != n) throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null != this.numConstants && (n = e.slice(e.length - this.numConstants, e.length), e = e.slice(0, e.length - this.numConstants)), e.length > 1 && (t = e.slice(1, e.length)), e = e[0];\n    }function r(e) {\n      return null == e || Array.isArray(e) ? e : [e];\n    }return { inputs: e, initialState: t = r(t), constants: n = r(n) };\n  }, t.prototype.apply = function (t, n) {\n    var r = null == n ? null : n.initialState,\n        i = null == n ? null : n.constants;null == n && (n = {});var a = this.standardizeArgs(t, r, i);t = a.inputs, r = a.initialState, i = a.constants;var o = [],\n        s = [];if (null != r) {\n      n.initialState = r, o = o.concat(r), this.stateSpec = [];for (var l = 0, u = r; l < u.length; l++) {\n        var c = u[l];this.stateSpec.push(new InputSpec({ shape: c.shape }));\n      }s = s.concat(this.stateSpec);\n    }if (null != i && (n.constants = i, o = o.concat(i), this.numConstants = i.length), o[0] instanceof SymbolicTensor) {\n      var p = [t].concat(o),\n          h = this.inputSpec.concat(s),\n          d = this.inputSpec;this.inputSpec = h;var g = e.prototype.apply.call(this, p, n);return this.inputSpec = d, g;\n    }return e.prototype.apply.call(this, t, n);\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      var r = null == t ? null : t.mask,\n          i = null == t ? null : t.training,\n          a = null == t ? null : t.initialState;if (e = getExactlyOneTensor(e), null == a) {\n        if (n.stateful) throw new NotImplementedError(\"stateful RNN layer is not implemented yet.\");a = n.getInitialState(e);\n      }if (null != r) throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o = Array.isArray(n.cell.stateSize) ? n.cell.stateSize.length : 1;if (a.length !== o) throw new ValueError(\"RNN Layer has \" + o + \" state(s) but was passed \" + a.length + \" initial state(s).\");var s = e.shape[1];n.unroll && console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var l = { training: i },\n          u = rnn(function (e, t) {\n        var r = n.cell.call([e].concat(t), l);return [r[0], r.slice(1)];\n      }, e, a, n.goBackwards, null, null, n.unroll, s),\n          c = u[0],\n          p = u[1],\n          h = u[2];if (n.stateful) throw new NotImplementedError(\"stateful RNN layer is not implemented yet\");var d = n.returnSequences ? p : c;return n.returnState ? [d].concat(h) : d;\n    });\n  }, t.prototype.getInitialState = function (e) {\n    var t = this;return (0, _tfjsCore.tidy)(function () {\n      var n = (0, _tfjsCore.zeros)(e.shape);return n = expandDims(n = (0, _tfjsCore.sum)(n, [1, 2])), Array.isArray(t.cell.stateSize) ? t.cell.stateSize.map(function (e) {\n        return e > 1 ? tile$1(n, [1, e]) : n;\n      }) : t.cell.stateSize > 1 ? [tile$1(n, [1, t.cell.stateSize])] : [n];\n    });\n  }, Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      return this.trainable ? this.cell.trainableWeights : [];\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      return this.trainable ? this.cell.nonTrainableWeights : this.cell.weights;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {\n    var t = { returnSequences: this.returnSequences, returnState: this.returnState, goBackwards: this.goBackwards, stateful: this.stateful, unroll: this.unroll };null != this.numConstants && (t.numConstants = this.numConstants);var n = this.cell.getConfig();t.cell = { className: this.cell.getClassName(), config: n };var r = e.prototype.getConfig.call(this);return Object.assign(t, r), t;\n  }, t.className = \"RNN\", t;\n}(Layer);_tfjsCore.serialization.SerializationMap.register(RNN);var RNNCell = function (e) {\n  function t() {\n    return null !== e && e.apply(this, arguments) || this;\n  }return __extends(t, e), t = __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Classes\" })], t);\n}(Layer),\n    SimpleRNNCell = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = \"tanh\", n.DEFAULT_KERNEL_INITIALIZER = \"glorotNormal\", n.DEFAULT_RECURRENT_INITIALIZER = \"orthogonal\", n.DEFAULT_BIAS_INITIALIZER = \"zeros\", n.units = t.units, n.activation = getActivation(null == t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.stateSize = n.units, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    e = getExactlyOneShape(e), this.kernel = this.addWeight(\"kernel\", [e[e.length - 1], this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight(\"recurrent_kernel\", [this.units, this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias ? this.bias = this.addWeight(\"bias\", [this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (2 !== (e = e).length) throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \" + e.length + \".\");var t = e[1];if (e = e[0], 0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError(\"Dropout is not implemented for SimpleRNNCell yet\");var r = dot(e, n.kernel.read());null != n.bias && (r = biasAdd(r, n.bias.read()));var i = (0, _tfjsCore.add)(r, dot(t, n.recurrentKernel.read()));return null != n.activation && (i = n.activation.apply(i)), [i, i];\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"SimpleRNNCell\", t;\n}(RNNCell);_tfjsCore.serialization.SerializationMap.register(SimpleRNNCell);var SimpleRNN = function (e) {\n  function t(t) {\n    return t.cell = new SimpleRNNCell(t), e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.call = function (t, n) {\n    var r = this;return (0, _tfjsCore.tidy)(function () {\n      var i = null == n ? null : n.mask,\n          a = null == n ? null : n.training,\n          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });\n    });\n  }, Object.defineProperty(t.prototype, \"units\", { get: function () {\n      return this.cell.units;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"activation\", { get: function () {\n      return this.cell.activation;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"useBias\", { get: function () {\n      return this.cell.useBias;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelInitializer\", { get: function () {\n      return this.cell.kernelInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentInitializer\", { get: function () {\n      return this.cell.recurrentInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasInitializer\", { get: function () {\n      return this.cell.biasInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelRegularizer\", { get: function () {\n      return this.cell.kernelRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentRegularizer\", { get: function () {\n      return this.cell.recurrentRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasRegularizer\", { get: function () {\n      return this.cell.biasRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelConstraint\", { get: function () {\n      return this.cell.kernelConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentConstraint\", { get: function () {\n      return this.cell.recurrentConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasConstraint\", { get: function () {\n      return this.cell.biasConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"dropout\", { get: function () {\n      return this.cell.dropout;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentDropout\", { get: function () {\n      return this.cell.recurrentDropout;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout },\n        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;\n  }, t.className = \"SimpleRNN\", t;\n}(RNN);_tfjsCore.serialization.SerializationMap.register(SimpleRNN);var GRUCell = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = \"tanh\", n.DEFAULT_RECURRENT_ACTIVATION = \"hardSigmoid\", n.DEFAULT_KERNEL_INITIALIZER = \"glorotNormal\", n.DEFAULT_RECURRENT_INITIALIZER = \"orthogonal\", n.DEFAULT_BIAS_INITIALIZER = \"zeros\", n.units = t.units, n.activation = getActivation(void 0 === t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.recurrentActivation = getActivation(void 0 === t.recurrentActivation ? n.DEFAULT_RECURRENT_ACTIVATION : t.recurrentActivation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.implementation = t.implementation, n.stateSize = n.units, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    var t = (e = getExactlyOneShape(e))[e.length - 1];this.kernel = this.addWeight(\"kernel\", [t, 3 * this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight(\"recurrent_kernel\", [this.units, 3 * this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias ? this.bias = this.addWeight(\"bias\", [3 * this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError(\"Dropout is not implemented for GRUCell yet\");if (2 !== (e = e).length) throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \" + e.length + \".\");var t,\n          r,\n          i,\n          a = e[1];if (e = e[0], 1 === n.implementation) {\n        var o = sliceAlongLastAxis(n.kernel.read(), 0, n.units),\n            s = sliceAlongLastAxis(n.kernel.read(), n.units, n.units),\n            l = sliceAlongLastAxis(n.kernel.read(), 2 * n.units, n.units),\n            u = sliceAlongLastAxis(n.recurrentKernel.read(), 0, n.units),\n            c = sliceAlongLastAxis(n.recurrentKernel.read(), n.units, n.units),\n            p = sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units),\n            h = e,\n            d = e,\n            g = dot(e, o),\n            f = dot(h, s),\n            m = dot(d, l);if (n.useBias) {\n          var y = sliceAlongFirstAxis(n.bias.read(), 0, n.units),\n              v = sliceAlongFirstAxis(n.bias.read(), n.units, n.units),\n              b = sliceAlongFirstAxis(n.bias.read(), 2 * n.units, n.units);g = biasAdd(g, y), f = biasAdd(f, v), m = biasAdd(m, b);\n        }var z = a,\n            w = a,\n            S = a;t = n.recurrentActivation.apply((0, _tfjsCore.add)(g, dot(z, u))), r = n.recurrentActivation.apply((0, _tfjsCore.add)(f, dot(w, c))), i = n.activation.apply((0, _tfjsCore.add)(m, dot((0, _tfjsCore.mul)(r, S), p)));\n      } else {\n        var I = dot(e, n.kernel.read());n.useBias && (I = biasAdd(I, n.bias.read()));var _ = dot(a, sliceAlongLastAxis(n.recurrentKernel.read(), 0, 2 * n.units)),\n            A = (g = sliceAlongLastAxis(I, 0, n.units), f = sliceAlongLastAxis(I, n.units, n.units), sliceAlongLastAxis(_, 0, n.units)),\n            N = sliceAlongLastAxis(_, n.units, n.units);t = n.recurrentActivation.apply((0, _tfjsCore.add)(g, A)), r = n.recurrentActivation.apply((0, _tfjsCore.add)(f, N));m = sliceAlongLastAxis(I, 2 * n.units, n.units);var E = dot((0, _tfjsCore.mul)(r, a), sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units));i = n.activation.apply((0, _tfjsCore.add)(m, E));\n      }var L = (0, _tfjsCore.add)((0, _tfjsCore.mul)(t, a), (0, _tfjsCore.mul)(scalarPlusArray(getScalar(1), (0, _tfjsCore.neg)(t)), i));return [L, L];\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"GRUCell\", t;\n}(RNNCell);_tfjsCore.serialization.SerializationMap.register(GRUCell);var GRU = function (e) {\n  function t(t) {\n    return 0 === t.implementation && console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"), t.cell = new GRUCell(t), e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.call = function (t, n) {\n    var r = this;return (0, _tfjsCore.tidy)(function () {\n      var i = null == n ? null : n.mask,\n          a = null == n ? null : n.training,\n          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });\n    });\n  }, Object.defineProperty(t.prototype, \"units\", { get: function () {\n      return this.cell.units;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"activation\", { get: function () {\n      return this.cell.activation;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentActivation\", { get: function () {\n      return this.cell.recurrentActivation;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"useBias\", { get: function () {\n      return this.cell.useBias;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelInitializer\", { get: function () {\n      return this.cell.kernelInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentInitializer\", { get: function () {\n      return this.cell.recurrentInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasInitializer\", { get: function () {\n      return this.cell.biasInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelRegularizer\", { get: function () {\n      return this.cell.kernelRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentRegularizer\", { get: function () {\n      return this.cell.recurrentRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasRegularizer\", { get: function () {\n      return this.cell.biasRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelConstraint\", { get: function () {\n      return this.cell.kernelConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentConstraint\", { get: function () {\n      return this.cell.recurrentConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasConstraint\", { get: function () {\n      return this.cell.biasConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"dropout\", { get: function () {\n      return this.cell.dropout;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentDropout\", { get: function () {\n      return this.cell.recurrentDropout;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"implementation\", { get: function () {\n      return this.cell.implementation;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },\n        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;\n  }, t.fromConfig = function (e, t) {\n    return 0 === t.implmentation && (t.implementation = 1), new e(t);\n  }, t.className = \"GRU\", t;\n}(RNN);_tfjsCore.serialization.SerializationMap.register(GRU);var LSTMCell = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = \"tanh\", n.DEFAULT_RECURRENT_ACTIVATION = \"hardSigmoid\", n.DEFAULT_KERNEL_INITIALIZER = \"glorotNormal\", n.DEFAULT_RECURRENT_INITIALIZER = \"orthogonal\", n.DEFAULT_BIAS_INITIALIZER = \"zeros\", n.units = t.units, n.activation = getActivation(void 0 === t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.recurrentActivation = getActivation(void 0 === t.recurrentActivation ? n.DEFAULT_RECURRENT_ACTIVATION : t.recurrentActivation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.unitForgetBias = t.unitForgetBias, n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.implementation = t.implementation, n.stateSize = [n.units, n.units], n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    var t,\n        n,\n        r = (e = getExactlyOneShape(e))[e.length - 1];if (this.kernel = this.addWeight(\"kernel\", [r, 4 * this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight(\"recurrent_kernel\", [this.units, 4 * this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias) {\n      if (this.unitForgetBias) {\n        var i = this.biasInitializer,\n            a = this.units;t = new ((n = function (e) {\n          function t() {\n            return null !== e && e.apply(this, arguments) || this;\n          }return __extends(t, e), t.prototype.apply = function (e, t) {\n            var n = i.apply([a]),\n                r = new Ones().apply([a]),\n                o = i.apply([2 * a]);return concatAlongFirstAxis(concatAlongFirstAxis(n, r), o);\n          }, t;\n        }(Initializer)).className = \"CustomInit\", n)();\n      } else t = this.biasInitializer;this.bias = this.addWeight(\"bias\", [4 * this.units], null, t, this.biasRegularizer, !0, this.biasConstraint);\n    } else this.bias = null;this.built = !0;\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError(\"Dropout is not implemented for LSTMCell yet\");if (3 !== (e = e).length) throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \" + e.length + \".\");var t,\n          r,\n          i,\n          a,\n          o = e[1],\n          s = e[2];if (e = e[0], 1 === n.implementation) {\n        var l = sliceAlongLastAxis(n.kernel.read(), 0, n.units),\n            u = sliceAlongLastAxis(n.kernel.read(), n.units, n.units),\n            c = sliceAlongLastAxis(n.kernel.read(), 2 * n.units, n.units),\n            p = sliceAlongLastAxis(n.kernel.read(), 3 * n.units, n.units),\n            h = sliceAlongLastAxis(n.recurrentKernel.read(), 0, n.units),\n            d = sliceAlongLastAxis(n.recurrentKernel.read(), n.units, n.units),\n            g = sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units),\n            f = sliceAlongLastAxis(n.recurrentKernel.read(), 3 * n.units, n.units),\n            m = e,\n            y = e,\n            v = e,\n            b = dot(e, l),\n            z = dot(m, u),\n            w = dot(y, c),\n            S = dot(v, p);if (n.useBias) {\n          var I = sliceAlongFirstAxis(n.bias.read(), 0, n.units),\n              _ = sliceAlongFirstAxis(n.bias.read(), n.units, n.units),\n              A = sliceAlongFirstAxis(n.bias.read(), 2 * n.units, n.units),\n              N = sliceAlongFirstAxis(n.bias.read(), 3 * n.units, n.units);b = biasAdd(b, I), z = biasAdd(z, _), w = biasAdd(w, A), S = biasAdd(S, N);\n        }var E = o,\n            L = o,\n            C = o,\n            x = o;t = n.recurrentActivation.apply((0, _tfjsCore.add)(b, dot(E, h))), r = n.recurrentActivation.apply((0, _tfjsCore.add)(z, dot(L, d))), i = (0, _tfjsCore.add)((0, _tfjsCore.mul)(r, s), (0, _tfjsCore.mul)(t, n.activation.apply((0, _tfjsCore.add)(w, dot(C, g))))), a = n.recurrentActivation.apply((0, _tfjsCore.add)(S, dot(x, f)));\n      } else {\n        var k = dot(e, n.kernel.read());k = (0, _tfjsCore.add)(k, dot(o, n.recurrentKernel.read())), n.useBias && (k = biasAdd(k, n.bias.read()));var T = sliceAlongLastAxis(k, 0, n.units),\n            R = sliceAlongLastAxis(k, n.units, n.units),\n            D = sliceAlongLastAxis(k, 2 * n.units, n.units),\n            O = sliceAlongLastAxis(k, 3 * n.units, n.units);t = n.recurrentActivation.apply(T), r = n.recurrentActivation.apply(R), i = (0, _tfjsCore.add)((0, _tfjsCore.mul)(r, s), (0, _tfjsCore.mul)(t, n.activation.apply(D))), a = n.recurrentActivation.apply(O);\n      }var M = (0, _tfjsCore.mul)(a, n.activation.apply(i));return [M, M, i];\n    });\n  }, t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), unitForgetBias: this.unitForgetBias, kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.className = \"LSTMCell\", t;\n}(RNNCell);_tfjsCore.serialization.SerializationMap.register(LSTMCell);var LSTM = function (e) {\n  function t(t) {\n    return 0 === t.implementation && console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"), t.cell = new LSTMCell(t), e.call(this, t) || this;\n  }return __extends(t, e), t.prototype.call = function (t, n) {\n    var r = this;return (0, _tfjsCore.tidy)(function () {\n      var i = null == n ? null : n.mask,\n          a = null == n ? null : n.training,\n          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });\n    });\n  }, Object.defineProperty(t.prototype, \"units\", { get: function () {\n      return this.cell.units;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"activation\", { get: function () {\n      return this.cell.activation;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentActivation\", { get: function () {\n      return this.cell.recurrentActivation;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"useBias\", { get: function () {\n      return this.cell.useBias;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelInitializer\", { get: function () {\n      return this.cell.kernelInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentInitializer\", { get: function () {\n      return this.cell.recurrentInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasInitializer\", { get: function () {\n      return this.cell.biasInitializer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"unitForgetBias\", { get: function () {\n      return this.cell.unitForgetBias;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelRegularizer\", { get: function () {\n      return this.cell.kernelRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentRegularizer\", { get: function () {\n      return this.cell.recurrentRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasRegularizer\", { get: function () {\n      return this.cell.biasRegularizer;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"kernelConstraint\", { get: function () {\n      return this.cell.kernelConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentConstraint\", { get: function () {\n      return this.cell.recurrentConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"biasConstraint\", { get: function () {\n      return this.cell.biasConstraint;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"dropout\", { get: function () {\n      return this.cell.dropout;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"recurrentDropout\", { get: function () {\n      return this.cell.recurrentDropout;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"implementation\", { get: function () {\n      return this.cell.implementation;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {\n    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), unitForgetBias: this.unitForgetBias, kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },\n        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;\n  }, t.fromConfig = function (e, t) {\n    return 0 === t.implmentation && (t.implementation = 1), new e(t);\n  }, t.className = \"LSTM\", t;\n}(RNN);_tfjsCore.serialization.SerializationMap.register(LSTM);var StackedRNNCells = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.cells = t.cells, n;\n  }return __extends(t, e), Object.defineProperty(t.prototype, \"stateSize\", { get: function () {\n      for (var e = [], t = 0, n = this.cells.slice().reverse(); t < n.length; t++) {\n        var r = n[t];Array.isArray(r.stateSize) ? e.push.apply(e, r.stateSize) : e.push(r.stateSize);\n      }return e;\n    }, enumerable: !0, configurable: !0 }), t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      for (var r = (e = e).slice(1), i = [], a = 0, o = n.cells.slice().reverse(); a < o.length; a++) {\n        var s = o[a];Array.isArray(s.stateSize) ? i.push(r.splice(0, s.stateSize.length)) : i.push(r.splice(0, 1));\n      }i.reverse();for (var l, u = [], c = 0; c < n.cells.length; ++c) {\n        s = n.cells[c];r = i[c], l = 0 === c ? [e[0]].concat(r) : [l[0]].concat(r), l = s.call(l, t), u.push(l.slice(1));\n      }r = [];for (var p = 0, h = u.slice().reverse(); p < h.length; p++) {\n        var d = h[p];r.push.apply(r, d);\n      }return [l[0]].concat(r);\n    });\n  }, t.prototype.build = function (e) {\n    var t;isArrayOfShapes(e) && (e = e[0]), e = e;for (var n = 0, r = this.cells; n < r.length; n++) {\n      var i = r[n];i.build(e), t = Array.isArray(i.stateSize) ? i.stateSize[0] : i.stateSize, e = [e[0], t];\n    }this.built = !0;\n  }, t.prototype.getConfig = function () {\n    for (var t = [], n = 0, r = this.cells; n < r.length; n++) {\n      var i = r[n];t.push({ className: this.getClassName(), config: i.getConfig() });\n    }var a = { cells: t },\n        o = e.prototype.getConfig.call(this);return Object.assign(a, o), a;\n  }, t.fromConfig = function (e, t, n) {\n    void 0 === n && (n = {});for (var r = [], i = 0, a = t.cells; i < a.length; i++) {\n      var o = a[i];r.push(deserialize(o, n));\n    }return new e({ cells: r });\n  }, Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      if (!this.trainable) return [];for (var e = [], t = 0, n = this.cells; t < n.length; t++) {\n        var r = n[t];e.push.apply(e, r.trainableWeights);\n      }return e;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      for (var e = [], t = 0, n = this.cells; t < n.length; t++) {\n        var r = n[t];e.push.apply(e, r.nonTrainableWeights);\n      }if (!this.trainable) {\n        for (var i = [], a = 0, o = this.cells; a < o.length; a++) {\n          r = o[a];i.push.apply(i, r.trainableWeights);\n        }return i.concat(e);\n      }return e;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {\n    for (var e = [], t = 0, n = this.cells; t < n.length; t++) {\n      var r = n[t];e.push.apply(e, r.weights);\n    }return batchGetValue(e);\n  }, t.prototype.setWeights = function (e) {\n    for (var t = [], n = 0, r = this.cells; n < r.length; n++) for (var i = r[n], a = i.weights.length, o = e.splice(a), s = 0; s < i.weights.length; ++s) t.push([i.weights[s], o[s]]);batchSetValue(t);\n  }, t.className = \"StackedRNNCells\", t;\n}(RNNCell);_tfjsCore.serialization.SerializationMap.register(StackedRNNCells);var Wrapper = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.layer = t.layer, n;\n  }return __extends(t, e), t.prototype.build = function (e) {\n    this.built = !0;\n  }, Object.defineProperty(t.prototype, \"trainable\", { get: function () {\n      return null != this.layer && this.layer.trainable;\n    }, set: function (e) {\n      null != this.layer && (this.layer.trainable = e);\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      return this.layer.trainableWeights;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      return this.layer.nonTrainableWeights;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"updates\", { get: function () {\n      return this.layer._updates;\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"losses\", { get: function () {\n      return this.layer.losses;\n    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {\n    return this.layer.getWeights();\n  }, t.prototype.setWeights = function (e) {\n    this.layer.setWeights(e);\n  }, t.prototype.getConfig = function () {\n    var t = { layer: { className: this.layer.getClassName(), config: this.layer.getConfig() } },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.fromConfig = function (e, t, n) {\n    void 0 === n && (n = {});var r = deserialize(t.layer, n);delete t.layer;var i = { layer: r };return Object.assign(i, t), new e(i);\n  }, t;\n}(Layer),\n    TimeDistributed = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this;return n.supportsMasking = !0, n;\n  }return __extends(t, e), t.prototype.build = function (t) {\n    if ((t = getExactlyOneShape(t)).length < 3) throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \" + JSON.stringify(t));this.inputSpec = [{ shape: t }];var n = [t[0]].concat(t.slice(2));this.layer.built || (this.layer.build(n), this.layer.built = !0), e.prototype.build.call(this, t);\n  }, t.prototype.computeOutputShape = function (e) {\n    var t = [(e = getExactlyOneShape(e))[0]].concat(e.slice(2)),\n        n = this.layer.computeOutputShape(t),\n        r = e[1];return [n[0], r].concat(n.slice(1));\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      return rnn(function (e, r) {\n        return [n.layer.call(e, t), []];\n      }, e = getExactlyOneTensor(e), [], !1, null, null, !1, e.shape[1])[1];\n    });\n  }, t.className = \"TimeDistributed\", t;\n}(Wrapper);_tfjsCore.serialization.SerializationMap.register(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES = [\"sum\", \"mul\", \"concat\", \"ave\"];function checkBidirectionalMergeMode(e) {\n  checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES, \"BidirectionalMergeMode\", e);\n}var Bidirectional = function (e) {\n  function t(t) {\n    var n = e.call(this, t) || this,\n        r = t.layer.getConfig();if (n.forwardLayer = deserialize({ className: t.layer.getClassName(), config: r }), r.goBackwards = !0 !== r.goBackwards, n.backwardLayer = deserialize({ className: t.layer.getClassName(), config: r }), n.forwardLayer.name = \"forward_\" + n.forwardLayer.name, n.backwardLayer.name = \"backward_\" + n.backwardLayer.name, checkBidirectionalMergeMode(t.mergeMode), n.mergeMode = t.mergeMode, t.weights) throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful = t.layer.stateful, n.returnSequences = t.layer.returnSequences, n.returnState = t.layer.returnState, n.supportsMasking = !0, n._trainable = !0, n.inputSpec = t.layer.inputSpec, n;\n  }return __extends(t, e), Object.defineProperty(t.prototype, \"trainable\", { get: function () {\n      return this._trainable;\n    }, set: function (e) {\n      this._trainable = e, null != this.forwardLayer && (this.forwardLayer.trainable = e), null != this.backwardLayer && (this.backwardLayer.trainable = e);\n    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {\n    return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights());\n  }, t.prototype.setWeights = function (e) {\n    var t = e.length,\n        n = Math.floor(t / 2);this.forwardLayer.setWeights(e.slice(0, n)), this.backwardLayer.setWeights(e.slice(n));\n  }, t.prototype.computeOutputShape = function (e) {\n    var t,\n        n,\n        r,\n        i = this.forwardLayer.computeOutputShape(e);return Array.isArray(i) && Array.isArray(i[0]) || (i = [i]), i = i, this.returnState ? (r = i.slice(1), t = i[0]) : t = i[0], t = t, \"concat\" === this.mergeMode ? (t[t.length - 1] *= 2, n = [t]) : n = null == this.mergeMode ? [t, t.slice()] : [t], this.returnState ? null == this.mergeMode ? n.concat(r).concat(r.slice()) : [t].concat(r).concat(r.slice()) : singletonOrArray(n);\n  }, t.prototype.apply = function (t, n) {\n    var r = null;if (null != n && (r = n.initialState), Array.isArray(t) && (r = t.slice(1), t = t[0]), null == r || 0 === r.length) return e.prototype.apply.call(this, t, n);throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\");\n  }, t.prototype.call = function (e, t) {\n    var n = this;return (0, _tfjsCore.tidy)(function () {\n      if (null != t.mask) throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");if (null != t.initialState) throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\");var r,\n          i,\n          a = n.forwardLayer.call(e, t),\n          o = n.backwardLayer.call(e, t);return n.returnState && (Array.isArray(a) && (r = a.slice(1).concat(o.slice(1))), a = a[0], o = o[0]), n.returnSequences && (o = (0, _tfjsCore.reverse)(o, 1)), \"concat\" === n.mergeMode ? i = concatenate([a, o]) : \"sum\" === n.mergeMode ? i = (0, _tfjsCore.add)(a, o) : \"ave\" === n.mergeMode ? i = scalarTimesArray(getScalar(.5), (0, _tfjsCore.add)(a, o)) : \"mul\" === n.mergeMode ? i = (0, _tfjsCore.mul)(a, o) : null == n.mergeMode && (i = [a, o]), n.returnState ? null == n.mergeMode ? i.concat(r) : [i].concat(r) : i;\n    });\n  }, t.prototype.resetStates = function (e) {\n    this.forwardLayer.resetStates(), this.backwardLayer.resetStates();\n  }, t.prototype.build = function (e) {\n    var t = this;nameScope$1(this.forwardLayer.name, function () {\n      t.forwardLayer.build(e);\n    }), nameScope$1(this.backwardLayer.name, function () {\n      t.backwardLayer.build(e);\n    }), this.built = !0;\n  }, Object.defineProperty(t.prototype, \"trainableWeights\", { get: function () {\n      return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights);\n    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, \"nonTrainableWeights\", { get: function () {\n      return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights);\n    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {\n    var t = { mergeMode: this.mergeMode },\n        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;\n  }, t.fromConfig = function (e, t) {\n    var n = deserialize(t.layer);if (delete t.layer, null != t.numConstants) throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r = t;return r.layer = n, new e(r);\n  }, t.className = \"Bidirectional\", t;\n}(Wrapper);function loadModelInternal(e) {\n  return __awaiter(this, void 0, void 0, function () {\n    var t;return __generator(this, function (n) {\n      if (\"string\" == typeof e) {\n        if (0 === (t = _tfjsCore.io.getLoadHandlers(e)).length) t.push(_tfjsCore.io.browserHTTPRequest(e));else if (t.length > 1) throw new ValueError(\"Found more than one (\" + t.length + \") load handlers for URL '\" + e + \"'\");e = t[0];\n      }return [2, loadModelFromIOHandler(e)];\n    });\n  });\n}function loadModelFromIOHandler(e, t) {\n  return __awaiter(this, void 0, void 0, function () {\n    var n, r, i, a, o;return __generator(this, function (s) {\n      switch (s.label) {case 0:\n          if (null == e.load) throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return [4, e.load()];case 1:\n          if (n = s.sent(), null != (r = n.modelTopology).model_config && (r = r.model_config), i = deserialize(convertPythonicToTs(r), t), null != n.weightData) {\n            if (null == n.weightSpecs) throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");a = !1, o = !0, i.loadWeights(_tfjsCore.io.decodeWeights(n.weightData, n.weightSpecs), a, o);\n          }return [2, i];}\n    });\n  });\n}_tfjsCore.serialization.SerializationMap.register(Bidirectional);var Sequential = function (e) {\n  function t(t) {\n    var n = e.call(this, { inputs: [], outputs: [] }) || this;if (t = t || {}, n.trainable = !0, n._updatable = !0, n.built = !1, n.name = null != t.name ? t.name : getUid(\"sequential_\"), null != t.layers) for (var r = 0, i = t.layers; r < i.length; r++) {\n      var a = i[r];n.add(a);\n    }return n;\n  }return __extends(t, e), n = t, t.prototype.add = function (e) {\n    var t,\n        r = e instanceof n || e instanceof Model;if (r) {\n      if (1 !== (t = e).outputs.length) throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if (1 !== t.inputs.length) throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\");\n    }if (0 === this.outputs.length) {\n      if (0 === e.inboundNodes.length) {\n        if (null == e.batchInputShape) throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i = Input({ batchShape: e.batchInputShape, dtype: e.dtype, name: e.name + \"_input\" });e.apply(i);\n      }if (r) this.outputs = t.outputs, this.inputs = t.inputs;else {\n        if (1 !== e.inboundNodes.length) throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \" + e.name + \" which has \" + e.inboundNodes.length + \" pre-existing inbound connections.\");if (1 !== e.inboundNodes[0].outputTensors.length) throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.outputs = [e.inboundNodes[0].outputTensors[0]], this.inputs = getSourceInputs(this.outputs[0]);\n      }this.inboundNodes = [], new Node({ outboundLayer: this, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: this.inputs, outputTensors: this.outputs, inputMasks: pyListRepeat(null, this.inputs.length), outputMasks: [null], inputShapes: this.inputs.map(function (e) {\n          return e.shape;\n        }), outputShapes: this.outputs[0].shape });\n    } else {\n      var a = e.apply(this.outputs[0]);if (Array.isArray(a)) throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.outputs = [a], this.inboundNodes[0].outputTensors = this.outputs, this.inboundNodes[0].outputShapes = [this.outputs[0].shape];\n    }this.layers.push(e), this.built = !1;\n  }, t.prototype.pop = function () {\n    if (0 === this.layers.length) throw new TypeError(\"There are no layers in the model.\");if (this.layers.pop(), 0 === this.layers.length) this.outputs = [], this.inboundNodes = [], this.outboundNodes = [];else {\n      var e = this.layers.length - 1;this.layers[e].outboundNodes = [], this.outputs = [this.layers[e].output], this.inboundNodes[0].outputTensors = this.outputs, this.inboundNodes[0].outputShapes = [this.outputs[0].shape];\n    }\n  }, t.prototype.call = function (e, t) {\n    return null == this.model && this.build(), this.model.call(e, t);\n  }, t.prototype.build = function (e) {\n    if (getExactlyOneShape(e), 0 === this.inputs.length || 0 === this.outputs.length) throw new TypeError(\"Sequential model cannot be built: model is empty. Add some layers first.\");this.model = new Model({ inputs: this.inputs, outputs: this.outputs[0], name: this.name + \"_model\" }), this.model.trainable = this.trainable, this.model.updatable = this.updatable, this.supportsMasking = this.model.supportsMasking, this.inputLayers = this.model.inputLayers, this.inputLayersNodeIndices = this.model.inputLayersNodeIndices, this.inputLayersTensorIndices = this.model.inputLayersTensorIndices, this.outputLayers = this.model.outputLayers, this.outputLayersNodeIndices = this.model.outputLayersNodeIndices, this.outputLayersTensorIndices = this.model.outputLayersTensorIndices, this.nodesByDepth = this.model.nodesByDepth, this.containerNodes = this.model.containerNodes, this.outputNames = this.model.outputNames, this.inputNames = this.model.inputNames, this.built = !0;\n  }, t.prototype.countParams = function () {\n    return this.built || this.build(), e.prototype.countParams.call(this);\n  }, t.prototype.summary = function (t, n, r) {\n    void 0 === r && (r = console.log), this.built || this.build(), e.prototype.summary.call(this, t, n, r);\n  }, t.prototype.setWeights = function (e) {\n    null == this.model && this.build(), this.model.setWeights(e);\n  }, Object.defineProperty(t.prototype, \"updatable\", { get: function () {\n      return this._updatable;\n    }, set: function (e) {\n      this.built && (this.model.updatable = e), this._updatable = e;\n    }, enumerable: !0, configurable: !0 }), t.prototype.evaluate = function (e, t, n) {\n    if (void 0 === n && (n = {}), !this.built) throw new RuntimeError(\"The model needs to be compiled before being used.\");return this.model.evaluate(e, t, n);\n  }, t.prototype.predict = function (e, t) {\n    return void 0 === t && (t = {}), null == this.model && this.build(), this.model.predict(e, t);\n  }, t.prototype.predictOnBatch = function (e) {\n    return null == this.model && this.build(), this.model.predictOnBatch(e);\n  }, t.prototype.compile = function (e) {\n    this.build(), this.model.compile(e), this.optimizer = this.model.optimizer, this.loss = this.model.loss, this.metrics = this.model.metrics, this.metricsTensors = this.model.metricsTensors, this.metricsNames = this.model.metricsNames;\n  }, t.prototype.fit = function (e, t, n) {\n    return void 0 === n && (n = {}), __awaiter(this, void 0, void 0, function () {\n      return __generator(this, function (r) {\n        if (!this.built) throw new RuntimeError(\"The model needs to be compiled before being used.\");return [2, this.model.fit(e, t, n)];\n      });\n    });\n  }, t.fromConfig = function (e, t) {\n    var r = new e({});if (!(r instanceof n)) throw new ValueError(\"Sequential.fromConfig called on non-Sequential input: \" + r);if (!(t instanceof Array)) throw new ValueError(\"Sequential.fromConfig called without an array of configs\");if (null == t[0].className || \"Merge\" === t[0].className) throw new ValueError(\"Legacy serialization format not supported yet.\");for (var i = 0, a = t; i < a.length; i++) {\n      var o = deserialize(a[i]);r.add(o);\n    }return r;\n  }, t.prototype.getConfig = function () {\n    for (var e = [], t = 0, n = this.layers; t < n.length; t++) {\n      var r = n[t];e.push({ className: r.getClassName(), config: r.getConfig() });\n    }return e;\n  }, t.className = \"Sequential\", __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t.prototype, \"add\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t.prototype, \"summary\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [2] })], t.prototype, \"evaluate\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [1] })], t.prototype, \"predict\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\", configParamIndices: [2] })], t.prototype, \"fit\", null), t = n = __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Classes\" })], t);var n;\n}(Model);_tfjsCore.serialization.SerializationMap.register(Sequential);var ModelExports = function () {\n  function e() {}return e.model = function (e) {\n    return new Model(e);\n  }, e.sequential = function (e) {\n    return new Sequential(e);\n  }, e.loadModel = function (e) {\n    return loadModelInternal(e);\n  }, e.input = function (e) {\n    return Input(e);\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Creation\", configParamIndices: [0] })], e, \"model\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Creation\", configParamIndices: [0] })], e, \"sequential\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Loading\", useDocsFrom: \"loadModelInternal\" })], e, \"loadModel\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Models\", subheading: \"Inputs\", useDocsFrom: \"Input\", configParamIndices: [0] })], e, \"input\", null), e;\n}(),\n    LayerExports = function () {\n  function e() {}return e.inputLayer = function (e) {\n    return new InputLayer(e);\n  }, e.elu = function (e) {\n    return new ELU(e);\n  }, e.leakyReLU = function (e) {\n    return new LeakyReLU(e);\n  }, e.softmax = function (e) {\n    return new Softmax$1(e);\n  }, e.thresholdedReLU = function (e) {\n    return new ThresholdedReLU(e);\n  }, e.conv1d = function (e) {\n    return new Conv1D(e);\n  }, e.conv2d = function (e) {\n    return new Conv2D(e);\n  }, e.conv2dTranspose = function (e) {\n    return new Conv2DTranspose(e);\n  }, e.separableConv2d = function (e) {\n    return new SeparableConv2D(e);\n  }, e.cropping2D = function (e) {\n    return new Cropping2D(e);\n  }, e.upSampling2d = function (e) {\n    return new UpSampling2D(e);\n  }, e.depthwiseConv2d = function (e) {\n    return new DepthwiseConv2D(e);\n  }, e.activation = function (e) {\n    return new Activation$1(e);\n  }, e.dense = function (e) {\n    return new Dense(e);\n  }, e.dropout = function (e) {\n    return new Dropout(e);\n  }, e.flatten = function (e) {\n    return new Flatten(e);\n  }, e.repeatVector = function (e) {\n    return new RepeatVector(e);\n  }, e.reshape = function (e) {\n    return new Reshape(e);\n  }, e.embedding = function (e) {\n    return new Embedding(e);\n  }, e.add = function (e) {\n    return new Add(e);\n  }, e.average = function (e) {\n    return new Average(e);\n  }, e.concatenate = function (e) {\n    return new Concatenate(e);\n  }, e.maximum = function (e) {\n    return new Maximum(e);\n  }, e.minimum = function (e) {\n    return new Minimum(e);\n  }, e.multiply = function (e) {\n    return new Multiply(e);\n  }, e.batchNormalization = function (e) {\n    return new BatchNormalization(e);\n  }, e.zeroPadding2d = function (e) {\n    return new ZeroPadding2D(e);\n  }, e.averagePooling1d = function (e) {\n    return new AveragePooling1D(e);\n  }, e.avgPool1d = function (t) {\n    return e.averagePooling1d(t);\n  }, e.avgPooling1d = function (t) {\n    return e.averagePooling1d(t);\n  }, e.averagePooling2d = function (e) {\n    return new AveragePooling2D(e);\n  }, e.avgPool2d = function (t) {\n    return e.averagePooling2d(t);\n  }, e.avgPooling2d = function (t) {\n    return e.averagePooling2d(t);\n  }, e.globalAveragePooling1d = function (e) {\n    return new GlobalAveragePooling1D(e);\n  }, e.globalAveragePooling2d = function (e) {\n    return new GlobalAveragePooling2D(e);\n  }, e.globalMaxPooling1d = function (e) {\n    return new GlobalMaxPooling1D(e);\n  }, e.globalMaxPooling2d = function (e) {\n    return new GlobalMaxPooling2D(e);\n  }, e.maxPooling1d = function (e) {\n    return new MaxPooling1D(e);\n  }, e.maxPooling2d = function (e) {\n    return new MaxPooling2D(e);\n  }, e.gru = function (e) {\n    return new GRU(e);\n  }, e.gruCell = function (e) {\n    return new GRUCell(e);\n  }, e.lstm = function (e) {\n    return new LSTM(e);\n  }, e.lstmCell = function (e) {\n    return new LSTMCell(e);\n  }, e.simpleRNN = function (e) {\n    return new SimpleRNN(e);\n  }, e.simpleRNNCell = function (e) {\n    return new SimpleRNNCell(e);\n  }, e.rnn = function (e) {\n    return new RNN(e);\n  }, e.stackedRNNCells = function (e) {\n    return new StackedRNNCells(e);\n  }, e.bidirectional = function (e) {\n    return new Bidirectional(e);\n  }, e.timeDistributed = function (e) {\n    return new TimeDistributed(e);\n  }, e.Layer = Layer, e.RNN = RNN, e.RNNCell = RNNCell, e.input = ModelExports.input, __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Inputs\", namespace: \"layers\", useDocsFrom: \"InputLayer\", configParamIndices: [0] })], e, \"inputLayer\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Advanced Activation\", namespace: \"layers\", useDocsFrom: \"ELU\", configParamIndices: [0] })], e, \"elu\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Advanced Activation\", namespace: \"layers\", useDocsFrom: \"LeakyReLU\", configParamIndices: [0] })], e, \"leakyReLU\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Advanced Activation\", namespace: \"layers\", useDocsFrom: \"Softmax\", configParamIndices: [0] })], e, \"softmax\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Advanced Activation\", namespace: \"layers\", useDocsFrom: \"ThresholdedReLU\", configParamIndices: [0] })], e, \"thresholdedReLU\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"Conv1D\", configParamIndices: [0] })], e, \"conv1d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"Conv2D\", configParamIndices: [0] })], e, \"conv2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"Conv2DTranspose\", configParamIndices: [0] })], e, \"conv2dTranspose\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"SeparableConv2D\", configParamIndices: [0] })], e, \"separableConv2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"Cropping2D\", configParamIndices: [0] })], e, \"cropping2D\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"UpSampling2D\", configParamIndices: [0] })], e, \"upSampling2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Convolutional\", namespace: \"layers\", useDocsFrom: \"DepthwiseConv2D\", configParamIndices: [0] })], e, \"depthwiseConv2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Activation\", configParamIndices: [0] })], e, \"activation\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Dense\", configParamIndices: [0] })], e, \"dense\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Dropout\", configParamIndices: [0] })], e, \"dropout\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Flatten\", configParamIndices: [0] })], e, \"flatten\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"RepeatVector\", configParamIndices: [0] })], e, \"repeatVector\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Reshape\", configParamIndices: [0] })], e, \"reshape\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Basic\", namespace: \"layers\", useDocsFrom: \"Embedding\", configParamIndices: [0] })], e, \"embedding\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Add\", configParamIndices: [0] })], e, \"add\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Average\", configParamIndices: [0] })], e, \"average\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Concatenate\", configParamIndices: [0] })], e, \"concatenate\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Maximum\", configParamIndices: [0] })], e, \"maximum\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Minimum\", configParamIndices: [0] })], e, \"minimum\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Merge\", namespace: \"layers\", useDocsFrom: \"Multiply\", configParamIndices: [0] })], e, \"multiply\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Normalization\", namespace: \"layers\", useDocsFrom: \"BatchNormalization\", configParamIndices: [0] })], e, \"batchNormalization\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Padding\", namespace: \"layers\", useDocsFrom: \"ZeroPadding2D\", configParamIndices: [0] })], e, \"zeroPadding2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"AveragePooling1D\", configParamIndices: [0] })], e, \"averagePooling1d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"AveragePooling2D\", configParamIndices: [0] })], e, \"averagePooling2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"GlobalAveragePooling1D\", configParamIndices: [0] })], e, \"globalAveragePooling1d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"GlobalAveragePooling2D\", configParamIndices: [0] })], e, \"globalAveragePooling2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"GlobalMaxPooling1D\", configParamIndices: [0] })], e, \"globalMaxPooling1d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"GlobalMaxPooling2D\", configParamIndices: [0] })], e, \"globalMaxPooling2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"MaxPooling1D\", configParamIndices: [0] })], e, \"maxPooling1d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Pooling\", namespace: \"layers\", useDocsFrom: \"MaxPooling2D\", configParamIndices: [0] })], e, \"maxPooling2d\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"GRU\", configParamIndices: [0] })], e, \"gru\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"GRUCell\", configParamIndices: [0] })], e, \"gruCell\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"LSTM\", configParamIndices: [0] })], e, \"lstm\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"LSTMCell\", configParamIndices: [0] })], e, \"lstmCell\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"SimpleRNN\", configParamIndices: [0] })], e, \"simpleRNN\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"SimpleRNNCell\", configParamIndices: [0] })], e, \"simpleRNNCell\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"RNN\", configParamIndices: [0] })], e, \"rnn\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Recurrent\", namespace: \"layers\", useDocsFrom: \"RNN\", configParamIndices: [0] })], e, \"stackedRNNCells\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Wrapper\", namespace: \"layers\", useDocsFrom: \"Bidirectional\", configParamIndices: [0] })], e, \"bidirectional\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Layers\", subheading: \"Wrapper\", namespace: \"layers\", useDocsFrom: \"TimeDistributed\", configParamIndices: [0] })], e, \"timeDistributed\", null), e;\n}(),\n    ConstraintExports = function () {\n  function e() {}return e.maxNorm = function (e) {\n    return new MaxNorm(e);\n  }, e.unitNorm = function (e) {\n    return new UnitNorm(e);\n  }, e.nonNeg = function () {\n    return new NonNeg();\n  }, e.minMaxNorm = function (e) {\n    return new MinMaxNorm(e);\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Constraints\", namespace: \"constraints\", useDocsFrom: \"MaxNorm\", configParamIndices: [0] })], e, \"maxNorm\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Constraints\", namespace: \"constraints\", useDocsFrom: \"UnitNorm\", configParamIndices: [0] })], e, \"unitNorm\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Constraints\", namespace: \"constraints\", useDocsFrom: \"NonNeg\" })], e, \"nonNeg\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Constraints\", namespace: \"constraints\", useDocsFrom: \"MinMaxNormConfig\", configParamIndices: [0] })], e, \"minMaxNorm\", null), e;\n}(),\n    InitializerExports = function () {\n  function e() {}return e.zeros = function () {\n    return new Zeros();\n  }, e.ones = function () {\n    return new Ones();\n  }, e.constant = function (e) {\n    return new Constant(e);\n  }, e.randomUniform = function (e) {\n    return new RandomUniform(e);\n  }, e.randomNormal = function (e) {\n    return new RandomNormal(e);\n  }, e.truncatedNormal = function (e) {\n    return new TruncatedNormal(e);\n  }, e.identity = function (e) {\n    return new Identity(e);\n  }, e.varianceScaling = function (e) {\n    return new VarianceScaling(e);\n  }, e.glorotUniform = function (e) {\n    return new GlorotUniform(e);\n  }, e.glorotNormal = function (e) {\n    return new GlorotNormal(e);\n  }, e.heNormal = function (e) {\n    return new HeNormal(e);\n  }, e.leCunNormal = function (e) {\n    return new LeCunNormal(e);\n  }, e.orthogonal = function (e) {\n    return new Orthogonal(e);\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"Zeros\" })], e, \"zeros\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"Ones\" })], e, \"ones\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"Constant\", configParamIndices: [0] })], e, \"constant\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"RandomUniform\", configParamIndices: [0] })], e, \"randomUniform\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"RandomNormal\", configParamIndices: [0] })], e, \"randomNormal\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"TruncatedNormal\", configParamIndices: [0] })], e, \"truncatedNormal\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"Identity\", configParamIndices: [0] })], e, \"identity\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"VarianceScaling\", configParamIndices: [0] })], e, \"varianceScaling\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"GlorotUniform\", configParamIndices: [0] })], e, \"glorotUniform\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"GlorotNormal\", configParamIndices: [0] })], e, \"glorotNormal\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"HeNormal\", configParamIndices: [0] })], e, \"heNormal\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"LeCunNormal\", configParamIndices: [0] })], e, \"leCunNormal\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Initializers\", namespace: \"initializers\", useDocsFrom: \"Orthogonal\", configParamIndices: [0] })], e, \"orthogonal\", null), e;\n}(),\n    MetricExports = function () {\n  function e() {}return e.binaryAccuracy = function (e, t) {\n    return binaryAccuracy(e, t);\n  }, e.binaryCrossentropy = function (e, t) {\n    return binaryCrossentropy$1(e, t);\n  }, e.categoricalAccuracy = function (e, t) {\n    return categoricalAccuracy(e, t);\n  }, e.categoricalCrossentropy = function (e, t) {\n    return categoricalCrossentropy(e, t);\n  }, e.cosineProximity = function (e, t) {\n    return cosineProximity(e, t);\n  }, e.prototype.meanAbsoluteError = function (e, t) {\n    return meanAbsoluteError(e, t);\n  }, e.prototype.meanAbsolutePercentageError = function (e, t) {\n    return meanAbsolutePercentageError(e, t);\n  }, e.prototype.MAPE = function (e, t) {\n    return meanAbsolutePercentageError(e, t);\n  }, e.prototype.mape = function (e, t) {\n    return meanAbsolutePercentageError(e, t);\n  }, e.meanSquaredError = function (e, t) {\n    return meanSquaredError(e, t);\n  }, e.MSE = function (e, t) {\n    return meanSquaredError(e, t);\n  }, e.mse = function (e, t) {\n    return meanSquaredError(e, t);\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"meanAbsoluteError\" })], e.prototype, \"meanAbsoluteError\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"meanAbsolutePercentageError\" })], e.prototype, \"meanAbsolutePercentageError\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"binaryAccuracy\" })], e, \"binaryAccuracy\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"binaryCrossentropy\" })], e, \"binaryCrossentropy\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"categoricalAccuracy\" })], e, \"categoricalAccuracy\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"categoricalCrossentropy\" })], e, \"categoricalCrossentropy\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"cosineProximity\" })], e, \"cosineProximity\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Metrics\", namespace: \"metrics\", useDocsFrom: \"meanSquaredError\" })], e, \"meanSquaredError\", null), e;\n}(),\n    RegularizerExports = function () {\n  function e() {}return e.l1l2 = function (e) {\n    return new L1L2(e);\n  }, e.l1 = function (e) {\n    return l1(e);\n  }, e.l2 = function (e) {\n    return l2(e);\n  }, __decorate([(0, _tfjsCore.doc)({ heading: \"Regularizers\", namespace: \"regularizers\", useDocsFrom: \"L1L2\", configParamIndices: [0] })], e, \"l1l2\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Regularizers\", namespace: \"regularizers\", useDocsFrom: \"L1L2\", configParamIndices: [0] })], e, \"l1\", null), __decorate([(0, _tfjsCore.doc)({ heading: \"Regularizers\", namespace: \"regularizers\", useDocsFrom: \"L1L2\", configParamIndices: [0] })], e, \"l2\", null), e;\n}(),\n    model = ModelExports.model,\n    sequential = ModelExports.sequential,\n    loadModel = ModelExports.loadModel,\n    input = ModelExports.input,\n    layers = LayerExports,\n    constraints = ConstraintExports,\n    initializers = InitializerExports,\n    metrics = MetricExports,\n    regularizers = RegularizerExports;exports.model = model;\nexports.sequential = sequential;\nexports.loadModel = loadModel;\nexports.input = input;\nexports.layers = layers;\nexports.constraints = constraints;\nexports.initializers = initializers;\nexports.metrics = metrics;\nexports.regularizers = regularizers;\nexports.Callback = Callback;\nexports.CallbackList = CallbackList;\nexports.CustomCallback = CustomCallback;\nexports.Model = Model;\nexports.RNN = RNN;\nexports.Sequential = Sequential;\nexports.SymbolicTensor = SymbolicTensor;\nexports.version_layers = 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mul(e,div(r,scalarPlusArray(getScalar(epsilon$1()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.SerializationMap.register(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function deserialize(e,t){return void 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a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.6.7\",InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=floatx()),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&dtype(r)!==i.dtype){var o=dtype(r);throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+o+\".\")}if(i.axes){var s=intShape(r);for(var l in i.axes){var u=Number(l),c=i.axes[l],p=u>=0?s[u]:s[s.length+u];if(null!=c&&-1===[c,null].indexOf(p))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+u+\" of input shape to have value \"+c+\" but got shape \"+s+\".\")}}if(null!=i.shape){s=intShape(r);for(var h=0;h<i.shape.length;++h){var d=i.shape[h],g=s[h];if(null!=d&&null!=g&&d!==g)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{};for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope$1(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(intShape(l))}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(f=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=identity(h)),u.push(h)}if(f=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f}var d=collectInputShape(e),g=n.computeOutputShape(d),f=void 0,m=guessOutputDType(e);if(f=null!=g&&g.length>0&&Array.isArray(g[0])?g.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,g,n,toList(e),t,n.name),n.addInboundNode(e,f,null,null,d,g,t),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f})},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=floatx());var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var g=0;g<t.length;g++)t[g].sourceLayer=this,t[g].nodeIndex=this.inboundNodes.length-1,t[g].tensorIndex=g},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"apply\",null),t=__decorate([doc({heading:\"Layers\",subheading:\"Classes\",namespace:\"layers\"})],t)}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(intShape(i))}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}var InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||floatx();n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=floatx()),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}serialization.SerializationMap.register(InputLayer);var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(N=o[a]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(N=p[c]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,g=r.outputLayers;d<g.length;d++){s=g[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var f={},m={},y={},v={},b={},z=[],w=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],g=l.tensorIndices[c];w(p,n,i,h,d,g)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);z.push(l)}},S=[],I=[],_=0,A=r.outputs;_<A.length;_++){var N=A[_];w(N,S,I)}for(var E=0,L=z.slice().reverse();E<L.length;E++){m[(H=L[E]).id]=H,H.id in f||(f[H.id]=0);var C=f[H.id],x=null==y[H.outboundLayer.id]?0:y[H.outboundLayer.id];C=Math.max(C,x),y[H.outboundLayer.id]=C,v[H.outboundLayer.id]=H.outboundLayer,f[H.id]=C;for(h=0;h<H.inboundLayers.length;h++){var k=H.inboundLayers[h],T=(l=H.nodeIndices[h],k.inboundNodes[l]),R=null==f[T.id]?0:f[T.id];f[T.id]=Math.max(C+1,R),m[T.id]=T}}var D={};for(var O in f){(C=f[O])in D||(D[C]=[]),D[C].push(m[O])}var M={};for(var F in y){(C=y[F])in M||(M[C]=[]),M[C].push(v[F])}var P=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var V=0,B=P;V<B.length;V++){var U=M[C=B[V]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var W=0,j=U;W<j.length;W++){s=j[W];r.layers.push(s)}}r.layersByDepth=M,P=Object.keys(D).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var q=r.inputs.slice(),G=[],$=0,Z=P;$<Z.length;$++)for(var J=0,K=D[C=Z[$]];J<K.length;J++){var H;if(null!=(s=(H=K[J]).outboundLayer)){for(var Y=0,X=H.inputTensors;Y<X.length;Y++){N=X[Y];if(-1===q.indexOf(N))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+N+' at layer \"'+s.name+'\". The following previous layers were accessed without issue: '+G)}for(var Q=0,ee=H.outputTensors;Q<ee.length;Q++){N=ee[Q];q.push(N)}G.push(s.name)}}r.nodesByDepth=D;for(var te=r.layers.map(function(e){return e.name}),ne=function(e){var t=te.filter(function(t){return t===e}).length;if(1!==t)throw new RuntimeError('The name \"'+e+'\" is used '+t+\" times in the model. All layer names should be unique. Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r}return __extends(t,e),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e=e.concat(r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.layers;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,t,n){void 0===t&&(t=!1),void 0===n&&(n=!1),n?loadWeightsFromNamedTensorMap(e,this.layers):loadWeightsFromJson(e,this.layers,t)},t.prototype.updatedConfig=function(){var e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[I=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],g=0;g<h.inboundLayers.length;g++){var f=h.inboundLayers[g],m=h.nodeIndices[g],y=h.tensorIndices[g],v=n[I=f.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),z=i.inboundNodes.indexOf(h);for(g=0;g<b.length;g++){n[I=i.name+\"_\"+z+\"_\"+g]=b[g]}}}var w=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],z=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var I=i.name+\"_\"+z+\"_\"+y;S.push(I)}for(r=0;r<S.length;r++){var _=S[r];assert(_ in n),w.push(n[_])}return singletonOrArray(w)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,g=h.inputTensors,f=h.outputTensors,m=new Array,y=0,v=g;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===g.length){var b={},z=void 0,w=void 0,S=void 0,I=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var _=m[0],A=_[0],N=_[1];null==b.mask&&(b.mask=N),S=toList(d.call(A,b)),I=toList(d.computeMask(A,N)),z=[A],w=[N]}else z=m.map(function(e){return e[0]}),w=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=w),S=toList(d.call(z,b)),I=toList(d.computeMask(z,w));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<f.length;++r){i=f[r],a=S[r],o=I[r];n[i.id]=[a,o]}}}for(var E=[],L=[],C=[],x=0,k=this.outputs;x<k.length;x++){assert((i=k[x]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],R=T[0];o=T[1];C.push(R.shape),E.push(R),L.push(o)}return[E,L,C]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);l in this.containerNodes&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)-1===JSON.stringify(c.callArgs).indexOf(\"undefined\")?h=c.callArgs:(console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={});if(c.inboundLayers.length>0){for(var d=[],g=0;g<c.inboundLayers.length;g++){var f=c.inboundLayers[g],m=c.nodeIndices[g],y=c.tensorIndices[g];null!==(w=n[t.nodeKey(f,m)])&&void 0!==w||(w=0),d.push([f.name,w,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(g=0;g<this.inputLayers.length;g++){var b=this.inputLayers[g];m=this.inputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(w=n[p])&&void 0!==w||(w=0);y=this.inputLayersTensorIndices[g];v.push([b.name,w,y])}}e.inputLayers=v;var z=[];for(g=0;g<this.outputLayers.length;g++){b=this.outputLayers[g],m=this.outputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var w;null!==(w=n[p])&&void 0!==w||(w=0);y=this.outputLayersTensorIndices[g];z.push([b.name,w,y])}}return e.outputLayers=z,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((N=n[d.name]).name in r){for(var g=0,f=r[N.name];g<f.length;g++){a(N,f[g])}delete r[N.name]}}for(var m=[],y=[],v=0,b=t.inputLayers;v<b.length;v++){var z=(d=b[v])[0],w=d[1],S=d[2];assert(z in n);var I=(N=n[z]).inboundNodes[w].outputTensors;m.push(I[S])}for(var _=0,A=t.outputLayers;_<A.length;_++){z=(d=A[_])[0],w=d[1],S=d[2];assert(z in n);var N;I=(N=n[z]).inboundNodes[w].outputTensors;y.push(I[S])}return new e({inputs:m,outputs:y,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),__decorate([doc({heading:\"Layers\",subheading:\"Classes\",namespace:\"layers\",subclasses:[\"Model\"]})],t.prototype,\"getLayer\",null),t}(Layer);function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadWeightsFromNamedTensorMap(e,t){for(var n={},r=0,i=0,a=t;i<a.length;i++)for(var o=0,s=a[i].weights;o<s.length;o++){var l=s[o];if(null!=n[l.originalName])throw new ValueError(\"Duplicate weight name: \"+l.originalName);n[l.originalName]=l,r++}var u=[];for(var c in e)u.push([n[c],e[c]]),delete n[c];var p=[];for(var h in n)p.push(h);if(p.length>0)throw new ValueError(p.length+\" of \"+r+\" weights are not set: \"+p);batchSetValue(u)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var g=[],f=0;f<d.length;++f){var m=d[f];g.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,z=(b=v[y]).weights;if((g=preprocessWeightsForLoading(b,g,r,i)).length!==z.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+z.length+\" weight(s), but the saved weights have \"+g.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+g.length+\" vs \"+z.length+\").\")}for(var w=0;w<g.length;++w)!n||util.arraysEqual(z[w].shape,g[w].shape)?c.push([z[w],g[w].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+z[w].shape+\" vs \"+g[w].shape+\")\")}}batchSetValue(c)}var Callback=function(){function e(){this.validationData=null,this.model=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.setModel=function(e){this.model=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e}(),CallbackList=function(){function e(e,t){void 0===t&&(t=10),null==e&&(e=[]),this.callbacks=e,this.queueLength=t}return e.prototype.append=function(e){this.callbacks.push(e)},e.prototype.setParams=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setParams(e)}},e.prototype.setModel=function(e){for(var t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainBegin(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:null==e&&(e={}),t=0,n=this.callbacks,r.label=1;case 1:return t<n.length?[4,n[t].onTrainEnd(e)]:[3,4];case 2:r.sent(),r.label=3;case 3:return t++,[3,1];case 4:return[2]}})})},e}(),BaseLogger=function(e){function t(){return e.call(this)||this}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a=this;return __generator(this,function(o){for(i in null==t&&(t={}),e=null==t.size?0:t.size,this.seen+=e,n=function(n){var i=t[n];if(\"number\"==typeof i)r.totals.hasOwnProperty(n)||(r.totals[n]=0),r.totals[n]=r.totals[n]+i*e;else{var o=void 0;n in r.totals?o=r.totals[n]:r.totals[n]=getScalar(0),r.totals[n]=tidy(function(){return scalarPlusArray(a.totals[n],mul(i,getScalar(e)))}),null!=o&&o.dispose()}},r=this,t)n(i);return[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var e,n,r,i,a,o=this;return __generator(this,function(s){if(null!=t)for(e=function(e){if(null==n.totals[e])return\"continue\";\"number\"==typeof n.totals[e]?t[e]=n.totals[e]/n.seen:tidy(function(){t[e]=scalarTimesArray(div(getScalar(1),getScalar(o.seen)),o.totals[e]),o.totals[e].dispose(),keep(t[e])})},n=this,r=0,i=this.params.metrics;r<i.length;r++)a=i[r],e(a);return[2]})})},t}(Callback);function resolveScalarsInLogs(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,i,a,o,s;return __generator(this,function(l){switch(l.label){case 0:if(null==e)return[2];for(r in t=[],n=[],e)\"number\"!=typeof(i=e[r])&&(a=i,t.push(a.data()),n.push(r));return[4,Promise.all(t)];case 1:for(o=l.sent(),s=0;s<o.length;++s)e[n[s]]=o[s][0];return[2]}})})}function disposeTensorsInLogs(e){if(null!=e)for(var t in e){var n=e[t];\"number\"!=typeof n&&n.dispose()}}var History=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){for(n in null==t&&(t={}),this.epoch.push(e),t)null==this.history[n]&&(this.history[n]=[]),this.history[n].push(t[n]);return[2]})})},t.prototype.syncData=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,i,a,o,s,l;return __generator(this,function(u){switch(u.label){case 0:for(r in e=[],t=[],n=[],this.history)for(i=this.history[r],a=0;a<i.length;++a)\"number\"!=typeof i[a]&&(o=i[a],e.push(o.data()),t.push(r),n.push(a));return[4,Promise.all(e)];case 1:for(s=u.sent(),l=0;l<s.length;++l)this.history[t[l]][n[l]].dispose(),this.history[t[l]][n[l]]=s[l][0];return[2]}})})},t}(Callback),CustomCallback=function(e){function t(t){var n=e.call(this)||this;return n.trainBegin=t.onTrainBegin,n.trainEnd=t.onTrainEnd,n.epochBegin=t.onEpochBegin,n.epochEnd=t.onEpochEnd,n.batchBegin=t.onBatchBegin,n.batchEnd=t.onBatchEnd,n}return __extends(t,e),t.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.epochEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.epochEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchBegin?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchBegin(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return null==this.batchEnd?[3,3]:[4,resolveScalarsInLogs(t)];case 1:return n.sent(),[4,this.batchEnd(e,t)];case 2:n.sent(),n.label=3;case 3:return[2]}})})},t.prototype.onTrainBegin=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainBegin?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainBegin(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){switch(t.label){case 0:return null==this.trainEnd?[3,3]:[4,resolveScalarsInLogs(e)];case 1:return t.sent(),[4,this.trainEnd(e)];case 2:t.sent(),t.label=3;case 3:return[2]}})})},t}(Callback);function standardizeCallbacks(e){return null==e?null:e instanceof Callback?[e]:Array.isArray(e)&&e[0]instanceof Callback?e:toList(e).map(function(e){return new CustomCallback(e)})}function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=scalarTimesArray(scalar(epsilon$1()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon$1(),Number.MAX_VALUE),i=abs(div(n,r));return scalarTimesArray(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon$1(),Number.MAX_VALUE),i=log(scalarPlusArray(n,r)),a=clipByValue(e,epsilon$1(),Number.MAX_VALUE),o=log(scalarPlusArray(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,scalarPlusArray(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(scalarTimesArray(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,shape(t).length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon$1(),1-epsilon$1()),neg(sum(mul(e.toFloat(),log(t)),shape(t).length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=shape(t);return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon$1(),1-epsilon$1()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon$1(),1),r=clipByValue(t,epsilon$1(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(scalarPlusArray(getScalar(epsilon$1()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];throw new ValueError(\"Unknown loss \"+e)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=scalarTimesArray(getScalar(.5),onesLike(t)),r=cast(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon$1())},Adam:function(){return train.adam(.001,.9,.999,epsilon$1())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon$1(),0)},RMSProp:function(){return train.rmsprop(.001,.9,null,epsilon$1())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l,u=e.layers,c=0;c<u.length;++c)a?printLayerSummary(u[c],n,r):printLayerSummaryWithConnections(u[c],n,i,r),r((c===u.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency(),l=null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights);var p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(l+p)),r(\"Trainable params: \"+l),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,g=e.getClassName(),f=0===a.length?\"\":a[0];printRow([d+\" (\"+g+\")\",i,e.countParams().toString(),f],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function assertFeedCompatibility(e,t){if(null!=e.dtype&&e.dtype!==t.dtype)throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") is incompatible with that of the key '\"+e.name+\"' (\"+e.dtype+\").\");if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}}var ModelLoggingVerbosity,FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(assertFeedCompatibility(e,t),null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=t,this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}for(var p=0;p<t.length;++p){1===(h=s[p]).shape.length&&(s[p]=expandDims(h,1))}if(null!=n)for(p=0;p<t.length;++p)if(null!=n[p]){var h;if((h=s[p]).shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var g=h.shape[d],f=n[p][d];if(null!=f&&f>=0&&g!==f)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}!function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var Model=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope$1(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope$1(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope$1(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize,i=this.standardizeUserData(e,t,!0,r),a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;void 0===t&&(t=32),void 0===n&&(n=!1);var i=this.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)},t.prototype.predict=function(e,t){void 0===t&&(t={}),checkInputData(e,this.inputNames,this.feedInputShapes,!1);var n=null==t.batchSize?32:t.batchSize;return this.predictLoop(e,n)},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,r,i,a,o,s,l,u,c,p,h,d){return void 0===p&&(p=0),__awaiter(this,void 0,void 0,function(){var g,f,m,y,v,b,z,w=this;return __generator(this,function(S){switch(S.label){case 0:if(null==r&&(r=32),null==i&&(i=1),null==u&&(u=!0),null==p&&(p=0),g=!1,null!=s&&null!=l&&(g=!0),null!=d&&(g=!0,null==h))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");if(null!=(f=this.checkNumSamples(t,r,h,\"steps_per_epoch\"))&&(m=range(0,f)),this.history=new History,o=(o=null==o?[new BaseLogger]:[new BaseLogger].concat(o)).concat([this.history]),a>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");return(y=new CallbackList(o)).setModel(this),y.setParams({epochs:i,steps:h,verbose:a,doValidation:g,metrics:c}),[4,y.onTrainBegin()];case 1:S.sent(),this.stopTraining=!1,v=function(i){var a,o,c,p,d;return __generator(this,function(v){switch(v.label){case 0:return[4,y.onEpochBegin(i)];case 1:if(v.sent(),a={},null==h)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===u)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");u&&util.shuffle(m),o=tensor1d(m),c=makeBatches(f,r),p=function(i){var u;return __generator(this,function(p){switch(p.label){case 0:return u={},[4,y.onBatchBegin(i,u)];case 1:return p.sent(),tidy(function(){var p=c[i][0],h=c[i][1],d=sliceAlongFirstAxis(o,p,h-p);u.batch=i,u.size=h-p;for(var f=sliceArraysByIndices(t,d),m=e(f),y=0;y<n.length;++y){var v=n[y],b=m[y];u[v]=b,keep(b)}if(i===c.length-1&&g){var z=w.testLoop(s,l,r);for(y=0;y<n.length;++y){v=n[y],b=z[y];keep(b),a[\"val_\"+v]=b}}}),[4,y.onBatchEnd(i,u)];case 2:return p.sent(),disposeTensorsInLogs(u),b.stopTraining?[2,\"break\"]:[2]}})},d=0,v.label=3;case 3:return d<c.length?[5,p(d)]:[3,6];case 4:if(\"break\"===v.sent())return[3,6];v.label=5;case 5:return++d,[3,3];case 6:o.dispose(),v.label=7;case 7:return[4,y.onEpochEnd(i,a)];case 8:return v.sent(),b.stopTraining?[2,\"break\"]:[2]}})},b=this,z=p,S.label=2;case 2:return z<i?[5,v(z)]:[3,5];case 3:if(\"break\"===S.sent())return[3,5];S.label=4;case 4:return++z,[3,2];case 5:return[4,y.onTrainEnd()];case 6:return S.sent(),[4,this.history.syncData()];case 7:return S.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,r,i){void 0===r&&(r=0);var a=this.checkNumSamples(t,n,i,\"steps\"),o=[];if(1===r)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var s=makeBatches(a,n),l=tensor1d(range(0,a)),u=0;u<s.length;++u){var c=s[u][0],p=s[u][1],h=e(sliceArraysByIndices(t,sliceAlongFirstAxis(l,c,p-c)));if(0===u)for(var d=0;d<h.length;++d)o.push(getScalar(0));for(d=0;d<h.length;++d){var g=h[d];o[d]=add(o[d],scalarTimesArray(getScalar(p-c),g))}}for(d=0;d<o.length;++d)o[d]=div(o[d],getScalar(a));return o},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],g=mean(h(a[d],u[d]));r.push(g)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,g,f,m,y,v,b,z,w,S=this;return __generator(this,function(I){switch(I.label){case 0:if(r=null==n.batchSize?32:n.batchSize,i=this.standardizeUserData(e,t,!1,r),a=i[0],o=i[1],s=!1,p=!1,null!=n.validationData&&n.validationData.length>0){if(s=!0,2!==n.validationData.length)throw 3===n.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+n.validationData+\" is invalid.\");l=n.validationData[0],u=n.validationData[1],h=this.standardizeUserData(l,u,!0,r),l=h[0],u=h[1],c=l.concat(u)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(s=!0,d=Math.floor(a[0].shape[0]*(1-n.validationSplit)),g=a[0].shape[0],l=sliceArrays(a,d,g),a=sliceArrays(a,0,d),u=sliceArrays(o,d,g),o=sliceArrays(o,0,d),p=!0,c=l.concat(u)):null!=n.validationSteps&&(s=!0);return f=a.concat(o),this.checkTrainableWeightsConsistency(),m=function(e){var t=e.slice(0,S.inputs.length),n=e.slice(S.inputs.length,S.inputs.length+S.outputs.length),r=[],i=S.collectedTrainableWeights.map(function(e){return e.read()});return[S.optimizer.minimize(function(){for(var e=[],i=0;i<S.inputs.length;++i)e.push({key:S.inputs[i],value:t[i]});var a,o=new FeedDict(e),s=execute(S.outputs,o,{training:!0});for(i=0;i<S.lossFunctions.length;++i){var l=(0,S.lossFunctions[i])(n[i],s[i]);mean(l),a=0===i?l:add(a,l)}for(i=0;i<S.metricsTensors.length;++i){var u=S.metricsTensors[i][0],c=S.metricsTensors[i][1],p=mean(u(n[c],s[c]));keep(p),r.push(p)}return a=mean(a),S.calculateLosses().forEach(function(e){a=add(a,e)}),a},!0,i)].concat(r)},y=this.getDedupedMetricsNames(),s?(this.makeTestFunction(),v=this.testFunction,b=y.slice().concat(y.map(function(e){return\"val_\"+e}))):(v=null,c=[],b=y.slice()),z=standardizeCallbacks(n.callbacks),[4,this.fitLoop(m,f,y,r,n.epochs,n.verbose,z,v,c,n.shuffle,b,null,null,null)];case 1:return w=I.sent(),p&&(c.forEach(function(e){return e.dispose()}),a.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()})),[2,w]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"summary\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[0]})],t.prototype,\"compile\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[2]})],t.prototype,\"evaluate\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[1]})],t.prototype,\"predict\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"predictOnBatch\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[2]})],t.prototype,\"fit\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[1]})],t.prototype,\"save\",null),t=__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t)}(Container);serialization.SerializationMap.register(Model);var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t=__decorate([doc({heading:\"Initializers\",subheading:\"Classes\",namespace:\"initializers\"})],t)}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.SerializationMap.register(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.SerializationMap.register(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return scalarTimesArray(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.SerializationMap.register(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.SerializationMap.register(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"bool\"===t)throw new NotImplementedError(\"randomNormal does not support dType bool.\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.SerializationMap.register(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"bool\"===t)throw new NotImplementedError(\"truncatedNormal does not support dType bool.\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.SerializationMap.register(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return scalarTimesArray(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.SerializationMap.register(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"bool\"===t)throw new NotImplementedError(this.getClassName()+\" does not support dType bool.\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.SerializationMap.register(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),scalarTimesArray(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.SerializationMap.register(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.SerializationMap.register(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.SerializationMap.register(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.SerializationMap.register(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.SerializationMap.register(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.SerializationMap.register(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.SerializationMap.register(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.SerializationMap.register(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.SerializationMap.register(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.SerializationMap.register(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.SerializationMap.register(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.SerializationMap.register(Softmax);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.SerializationMap.register(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.SerializationMap.register(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.SerializationMap.register(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.SerializationMap.register(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(scalarTimesArray(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(scalarTimesArray(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t=__decorate([doc({heading:\"Regularizers\",namespace:\"regularizers\"})],t)}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.SerializationMap.register(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=null==r.dilationRate?1:r.dilationRate,1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={rank:this.rank,filters:this.filters,kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.SerializationMap.register(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var g=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(g=transpose(g,[0,3,1,2])),null!=n.bias&&(g=biasAdd(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.SerializationMap.register(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.SerializationMap.register(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.SerializationMap.register(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.SerializationMap.register(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=void 0===t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=this.size[0]*e[2],n=this.size[1]*e[3];return[e[0],e[1],t,n]}t=this.size[0]*e[1],n=this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.SerializationMap.register(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.SerializationMap.register(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.SerializationMap.register(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.SerializationMap.register(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.SerializationMap.register(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.SerializationMap.register(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.SerializationMap.register(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=shape(r),a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.SerializationMap.register(Reshape);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==dtype(r)&&(r=cast(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.SerializationMap.register(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=shape(h),g=d[0],f=d.slice(1).concat([g]),m=h.reshape([g].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(f),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var z=shape(v);f=[g=z[z.length-1]].concat(z.slice(0,z.length-1));v=transpose(v.reshape([-1,g]),[1,0]).reshape(f)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=zeros(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=add(t,i)}return t})},t.className=\"Add\",t}(Merge);serialization.SerializationMap.register(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=ones(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=mul(t,i)}return t})},t.className=\"Multiply\",t}(Merge);serialization.SerializationMap.register(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=zeros(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=add(t,i)}return scalarTimesArray(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.SerializationMap.register(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.SerializationMap.register(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.SerializationMap.register(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implememnted for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),g=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,f,g,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.SerializationMap.register(Concatenate);var BatchNormalization=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=shape(i),o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],g=h[1],f=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=f.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),g,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.SerializationMap.register(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.SerializationMap.register(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.SerializationMap.register(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.SerializationMap.register(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.SerializationMap.register(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.SerializationMap.register(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.SerializationMap.register(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.SerializationMap.register(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.SerializationMap.register(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],g=0;g<d;++g){var f=sliceAlongFirstAxis(t,g,1),m=e(f=f.reshape(f.shape.slice(1)),h);c=m[0],u=0===g?c.reshape([1].concat(c.shape)):concatAlongFirstAxis(u,c.reshape([1].concat(c.shape))),h=m[1]}return[c,transpose(u,[1,0].concat(range(2,u.shape.length))),h]}serialization.SerializationMap.register(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});if(this.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet\")},t.prototype.resetStates=function(e){var t=this;tidy(function(){if(!t.stateful)throw new AttributeError(\"Cannot call resetState() on an RNN Layer that is not stateful.\");var n=t.inputSpec[0].shape[0];if(null==n)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states=[zeros([n,t.cell.stateSize])];else if(null==e)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states[0]=zeros([n,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new ValueError(\"Layer \"+t.name+\" expects \"+t.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);for(var r=0;r<t.states.length;++r){var i=e[r],a=Array.isArray(t.cell.stateSize)?t.cell.stateSize[r]:t.cell.stateSize,o=[n,a];if(!util.arraysEqual(i.shape,o))throw new ValueError(\"State \"+r+\" is incompatible with layer \"+t.name+\": expected shape=\"+o+\", received shape=\"+i.shape);t.states[r]=i}}})},t.prototype.standardizeArgs=function(e,t,n){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=this.numConstants&&(n=e.slice(e.length-this.numConstants,e.length),e=e.slice(0,e.length-this.numConstants)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=r(t),constants:n=r(n)}},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=this.standardizeArgs(t,r,i);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var g=e.prototype.apply.call(this,p,n);return this.inputSpec=d,g}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a){if(n.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet.\");a=n.getInitialState(e)}if(null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");var s=e.shape[1];n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var l={training:i},u=rnn(function(e,t){var r=n.cell.call([e].concat(t),l);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,s),c=u[0],p=u[1],h=u[2];if(n.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet\");var d=n.returnSequences?p:c;return n.returnState?[d].concat(h):d})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.SerializationMap.register(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t=__decorate([doc({heading:\"Layers\",subheading:\"Classes\"})],t)}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var t=e[1];if(e=e[0],0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for SimpleRNNCell yet\");var r=dot(e,n.kernel.read());null!=n.bias&&(r=biasAdd(r,n.bias.read()));var i=add(r,dot(t,n.recurrentKernel.read()));return null!=n.activation&&(i=n.activation.apply(i)),[i,i]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.SerializationMap.register(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.SerializationMap.register(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for GRUCell yet\");if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var t,r,i,a=e[1];if(e=e[0],1===n.implementation){var o=sliceAlongLastAxis(n.kernel.read(),0,n.units),s=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),l=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),u=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),c=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),p=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),h=e,d=e,g=dot(e,o),f=dot(h,s),m=dot(d,l);if(n.useBias){var y=sliceAlongFirstAxis(n.bias.read(),0,n.units),v=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),b=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units);g=biasAdd(g,y),f=biasAdd(f,v),m=biasAdd(m,b)}var z=a,w=a,S=a;t=n.recurrentActivation.apply(add(g,dot(z,u))),r=n.recurrentActivation.apply(add(f,dot(w,c))),i=n.activation.apply(add(m,dot(mul(r,S),p)))}else{var I=dot(e,n.kernel.read());n.useBias&&(I=biasAdd(I,n.bias.read()));var _=dot(a,sliceAlongLastAxis(n.recurrentKernel.read(),0,2*n.units)),A=(g=sliceAlongLastAxis(I,0,n.units),f=sliceAlongLastAxis(I,n.units,n.units),sliceAlongLastAxis(_,0,n.units)),N=sliceAlongLastAxis(_,n.units,n.units);t=n.recurrentActivation.apply(add(g,A)),r=n.recurrentActivation.apply(add(f,N));m=sliceAlongLastAxis(I,2*n.units,n.units);var E=dot(mul(r,a),sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units));i=n.activation.apply(add(m,E))}var L=add(mul(t,a),mul(scalarPlusArray(getScalar(1),neg(t)),i));return[L,L]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.SerializationMap.register(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.SerializationMap.register(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for LSTMCell yet\");if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var t,r,i,a,o=e[1],s=e[2];if(e=e[0],1===n.implementation){var l=sliceAlongLastAxis(n.kernel.read(),0,n.units),u=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),c=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),p=sliceAlongLastAxis(n.kernel.read(),3*n.units,n.units),h=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),d=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),g=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),f=sliceAlongLastAxis(n.recurrentKernel.read(),3*n.units,n.units),m=e,y=e,v=e,b=dot(e,l),z=dot(m,u),w=dot(y,c),S=dot(v,p);if(n.useBias){var I=sliceAlongFirstAxis(n.bias.read(),0,n.units),_=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),A=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units),N=sliceAlongFirstAxis(n.bias.read(),3*n.units,n.units);b=biasAdd(b,I),z=biasAdd(z,_),w=biasAdd(w,A),S=biasAdd(S,N)}var E=o,L=o,C=o,x=o;t=n.recurrentActivation.apply(add(b,dot(E,h))),r=n.recurrentActivation.apply(add(z,dot(L,d))),i=add(mul(r,s),mul(t,n.activation.apply(add(w,dot(C,g))))),a=n.recurrentActivation.apply(add(S,dot(x,f)))}else{var k=dot(e,n.kernel.read());k=add(k,dot(o,n.recurrentKernel.read())),n.useBias&&(k=biasAdd(k,n.bias.read()));var T=sliceAlongLastAxis(k,0,n.units),R=sliceAlongLastAxis(k,n.units,n.units),D=sliceAlongLastAxis(k,2*n.units,n.units),O=sliceAlongLastAxis(k,3*n.units,n.units);t=n.recurrentActivation.apply(T),r=n.recurrentActivation.apply(R),i=add(mul(r,s),mul(t,n.activation.apply(D))),a=n.recurrentActivation.apply(O)}var M=mul(a,n.activation.apply(i));return[M,M,i]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.SerializationMap.register(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.SerializationMap.register(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);serialization.SerializationMap.register(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[n.layer.call(e,t),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,e.shape[1])[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.SerializationMap.register(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null;if(null!=n&&(r=n.initialState),Array.isArray(t)&&(r=t.slice(1),t=t[0]),null==r||0===r.length)return e.prototype.apply.call(this,t,n);throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\")},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");if(null!=t.initialState)throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\");var r,i,a=n.forwardLayer.call(e,t),o=n.backwardLayer.call(e,t);return n.returnState&&(Array.isArray(a)&&(r=a.slice(1).concat(o.slice(1))),a=a[0],o=o[0]),n.returnSequences&&(o=reverse(o,1)),\"concat\"===n.mergeMode?i=concatenate([a,o]):\"sum\"===n.mergeMode?i=add(a,o):\"ave\"===n.mergeMode?i=scalarTimesArray(getScalar(.5),add(a,o)):\"mul\"===n.mergeMode?i=mul(a,o):null==n.mergeMode&&(i=[a,o]),n.returnState?null==n.mergeMode?i.concat(r):[i].concat(r):i})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope$1(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope$1(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return 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For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=t.outputs,this.inputs=t.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. 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strict';\n\nvar BN = require('bn.js');\nvar HmacDRBG = require('hmac-drbg');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EC(options) {\n  if (!(this instanceof EC))\n    return new EC(options);\n\n  // Shortcut `elliptic.ec(curve-name)`\n  if (typeof options === 'string') {\n    assert(elliptic.curves.hasOwnProperty(options), 'Unknown curve ' + options);\n\n    options = elliptic.curves[options];\n  }\n\n  // Shortcut for `elliptic.ec(elliptic.curves.curveName)`\n  if (options instanceof elliptic.curves.PresetCurve)\n    options = { curve: options };\n\n  this.curve = options.curve.curve;\n  this.n = this.curve.n;\n  this.nh = this.n.ushrn(1);\n  this.g = this.curve.g;\n\n  // Point on curve\n  this.g = options.curve.g;\n  this.g.precompute(options.curve.n.bitLength() + 1);\n\n  // Hash for function for DRBG\n  this.hash = options.hash || options.curve.hash;\n}\nmodule.exports = EC;\n\nEC.prototype.keyPair = function keyPair(options) {\n  return new KeyPair(this, options);\n};\n\nEC.prototype.keyFromPrivate = function keyFromPrivate(priv, enc) {\n  return KeyPair.fromPrivate(this, priv, enc);\n};\n\nEC.prototype.keyFromPublic = function keyFromPublic(pub, enc) {\n  return KeyPair.fromPublic(this, pub, enc);\n};\n\nEC.prototype.genKeyPair = function genKeyPair(options) {\n  if (!options)\n    options = {};\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8',\n    entropy: options.entropy || elliptic.rand(this.hash.hmacStrength),\n    entropyEnc: options.entropy && options.entropyEnc || 'utf8',\n    nonce: this.n.toArray()\n  });\n\n  var bytes = this.n.byteLength();\n  var ns2 = this.n.sub(new BN(2));\n  do {\n    var priv = new BN(drbg.generate(bytes));\n    if (priv.cmp(ns2) > 0)\n      continue;\n\n    priv.iaddn(1);\n    return this.keyFromPrivate(priv);\n  } while (true);\n};\n\nEC.prototype._truncateToN = function truncateToN(msg, truncOnly) {\n  var delta = msg.byteLength() * 8 - this.n.bitLength();\n  if (delta > 0)\n    msg = msg.ushrn(delta);\n  if (!truncOnly && msg.cmp(this.n) >= 0)\n    return msg.sub(this.n);\n  else\n    return msg;\n};\n\nEC.prototype.sign = function sign(msg, key, enc, options) {\n  if (typeof enc === 'object') {\n    options = enc;\n    enc = null;\n  }\n  if (!options)\n    options = {};\n\n  key = this.keyFromPrivate(key, enc);\n  msg = this._truncateToN(new BN(msg, 16));\n\n  // Zero-extend key to provide enough entropy\n  var bytes = this.n.byteLength();\n  var bkey = key.getPrivate().toArray('be', bytes);\n\n  // Zero-extend nonce to have the same byte size as N\n  var nonce = msg.toArray('be', bytes);\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    entropy: bkey,\n    nonce: nonce,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8'\n  });\n\n  // Number of bytes to generate\n  var ns1 = this.n.sub(new BN(1));\n\n  for (var iter = 0; true; iter++) {\n    var k = options.k ?\n        options.k(iter) :\n        new BN(drbg.generate(this.n.byteLength()));\n    k = this._truncateToN(k, true);\n    if (k.cmpn(1) <= 0 || k.cmp(ns1) >= 0)\n      continue;\n\n    var kp = this.g.mul(k);\n    if (kp.isInfinity())\n      continue;\n\n    var kpX = kp.getX();\n    var r = kpX.umod(this.n);\n    if (r.cmpn(0) === 0)\n      continue;\n\n    var s = k.invm(this.n).mul(r.mul(key.getPrivate()).iadd(msg));\n    s = s.umod(this.n);\n    if (s.cmpn(0) === 0)\n      continue;\n\n    var recoveryParam = (kp.getY().isOdd() ? 1 : 0) |\n                        (kpX.cmp(r) !== 0 ? 2 : 0);\n\n    // Use complement of `s`, if it is > `n / 2`\n    if (options.canonical && s.cmp(this.nh) > 0) {\n      s = this.n.sub(s);\n      recoveryParam ^= 1;\n    }\n\n    return new Signature({ r: r, s: s, recoveryParam: recoveryParam });\n  }\n};\n\nEC.prototype.verify = function verify(msg, signature, key, enc) {\n  msg = this._truncateToN(new BN(msg, 16));\n  key = this.keyFromPublic(key, enc);\n  signature = new Signature(signature, 'hex');\n\n  // Perform primitive values validation\n  var r = signature.r;\n  var s = signature.s;\n  if (r.cmpn(1) < 0 || r.cmp(this.n) >= 0)\n    return false;\n  if (s.cmpn(1) < 0 || s.cmp(this.n) >= 0)\n    return false;\n\n  // Validate signature\n  var sinv = s.invm(this.n);\n  var u1 = sinv.mul(msg).umod(this.n);\n  var u2 = sinv.mul(r).umod(this.n);\n\n  if (!this.curve._maxwellTrick) {\n    var p = this.g.mulAdd(u1, key.getPublic(), u2);\n    if (p.isInfinity())\n      return false;\n\n    return p.getX().umod(this.n).cmp(r) === 0;\n  }\n\n  // NOTE: Greg Maxwell's trick, inspired by:\n  // https://git.io/vad3K\n\n  var p = this.g.jmulAdd(u1, key.getPublic(), u2);\n  if (p.isInfinity())\n    return false;\n\n  // Compare `p.x` of Jacobian point with `r`,\n  // this will do `p.x == r * p.z^2` instead of multiplying `p.x` by the\n  // inverse of `p.z^2`\n  return p.eqXToP(r);\n};\n\nEC.prototype.recoverPubKey = function(msg, signature, j, enc) {\n  assert((3 & j) === j, 'The recovery param is more than two bits');\n  signature = new Signature(signature, enc);\n\n  var n = this.n;\n  var e = new BN(msg);\n  var r = signature.r;\n  var s = signature.s;\n\n  // A set LSB signifies that the y-coordinate is odd\n  var isYOdd = j & 1;\n  var isSecondKey = j >> 1;\n  if (r.cmp(this.curve.p.umod(this.curve.n)) >= 0 && isSecondKey)\n    throw new Error('Unable to find sencond key candinate');\n\n  // 1.1. Let x = r + jn.\n  if (isSecondKey)\n    r = this.curve.pointFromX(r.add(this.curve.n), isYOdd);\n  else\n    r = this.curve.pointFromX(r, isYOdd);\n\n  var rInv = signature.r.invm(n);\n  var s1 = n.sub(e).mul(rInv).umod(n);\n  var s2 = s.mul(rInv).umod(n);\n\n  // 1.6.1 Compute Q = r^-1 (sR -  eG)\n  //               Q = r^-1 (sR + -eG)\n  return this.g.mulAdd(s1, r, s2);\n};\n\nEC.prototype.getKeyRecoveryParam = function(e, signature, Q, enc) {\n  signature = new Signature(signature, enc);\n  if (signature.recoveryParam !== null)\n    return signature.recoveryParam;\n\n  for (var i = 0; i < 4; i++) {\n    var Qprime;\n    try {\n      Qprime = this.recoverPubKey(e, signature, i);\n    } catch (e) {\n      continue;\n    }\n\n    if (Qprime.eq(Q))\n      return i;\n  }\n  throw new Error('Unable to find valid recovery factor');\n};\n"},"lineCount":241}},"hash":"dbc41f6bfa1764167bfe38c0916c8d04","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/d9d8a514cc54aa3f57b759db191fe1fc.json b/tictac/.cache/d9d8a514cc54aa3f57b759db191fe1fc.json
new file mode 100644
index 00000000..5a46a916
--- /dev/null
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diff --git a/tictac/.cache/db67010a2298cb7af19f96a88cc3f1b0.json b/tictac/.cache/db67010a2298cb7af19f96a88cc3f1b0.json
new file mode 100644
index 00000000..3b4985db
--- /dev/null
+++ b/tictac/.cache/db67010a2298cb7af19f96a88cc3f1b0.json
@@ -0,0 +1 @@
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diff --git a/tictac/.cache/dd1a9caf8effa590c165b049a7eab2bf.json b/tictac/.cache/dd1a9caf8effa590c165b049a7eab2bf.json
new file mode 100644
index 00000000..cca43804
--- /dev/null
+++ b/tictac/.cache/dd1a9caf8effa590c165b049a7eab2bf.json
@@ -0,0 +1 @@
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strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction KeyPair(ec, options) {\n  this.ec = ec;\n  this.priv = null;\n  this.pub = null;\n\n  // KeyPair(ec, { priv: ..., pub: ... })\n  if (options.priv)\n    this._importPrivate(options.priv, options.privEnc);\n  if (options.pub)\n    this._importPublic(options.pub, options.pubEnc);\n}\nmodule.exports = KeyPair;\n\nKeyPair.fromPublic = function fromPublic(ec, pub, enc) {\n  if (pub instanceof KeyPair)\n    return pub;\n\n  return new KeyPair(ec, {\n    pub: pub,\n    pubEnc: enc\n  });\n};\n\nKeyPair.fromPrivate = function fromPrivate(ec, priv, enc) {\n  if (priv instanceof KeyPair)\n    return priv;\n\n  return new KeyPair(ec, {\n    priv: priv,\n    privEnc: enc\n  });\n};\n\nKeyPair.prototype.validate = function validate() {\n  var pub = this.getPublic();\n\n  if (pub.isInfinity())\n    return { result: false, reason: 'Invalid public key' };\n  if (!pub.validate())\n    return { result: false, reason: 'Public key is not a point' };\n  if (!pub.mul(this.ec.curve.n).isInfinity())\n    return { result: false, reason: 'Public key * N != O' };\n\n  return { result: true, reason: null };\n};\n\nKeyPair.prototype.getPublic = function getPublic(compact, enc) {\n  // compact is optional argument\n  if (typeof compact === 'string') {\n    enc = compact;\n    compact = null;\n  }\n\n  if (!this.pub)\n    this.pub = this.ec.g.mul(this.priv);\n\n  if (!enc)\n    return this.pub;\n\n  return this.pub.encode(enc, compact);\n};\n\nKeyPair.prototype.getPrivate = function getPrivate(enc) {\n  if (enc === 'hex')\n    return this.priv.toString(16, 2);\n  else\n    return this.priv;\n};\n\nKeyPair.prototype._importPrivate = function _importPrivate(key, enc) {\n  this.priv = new BN(key, enc || 16);\n\n  // Ensure that the priv won't be bigger than n, otherwise we may fail\n  // in fixed multiplication method\n  this.priv = 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diff --git a/tictac/.cache/ddac6d9cce4302b3e646c6971a832bf5.json b/tictac/.cache/ddac6d9cce4302b3e646c6971a832bf5.json
new file mode 100644
index 00000000..1a22b096
--- /dev/null
+++ b/tictac/.cache/ddac6d9cce4302b3e646c6971a832bf5.json
@@ -0,0 +1 @@
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executeOp = exports.executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'max':\n            {\n                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);\n                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);\n                return [tfc.max((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];\n            }\n        case 'mean':\n            {\n                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);\n                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);\n                return [tfc.mean((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];\n            }\n        case 'min':\n            {\n                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);\n                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, 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r.toArray()\n  s = s.toArray()\n\n  // Pad values\n  if (r[0] & 0x80) r = [ 0 ].concat(r)\n  if (s[0] & 0x80) s = [ 0 ].concat(s)\n\n  var total = r.length + s.length + 4\n  var res = [ 0x30, total, 0x02, r.length ]\n  res = res.concat(r, [ 0x02, s.length ], s)\n  return new Buffer(res)\n}\n\nfunction getKey (x, q, hash, algo) {\n  x = new Buffer(x.toArray())\n  if (x.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - x.length)\n    zeros.fill(0)\n    x = Buffer.concat([ zeros, x ])\n  }\n  var hlen = hash.length\n  var hbits = bits2octets(hash, q)\n  var v = new Buffer(hlen)\n  v.fill(1)\n  var k = new Buffer(hlen)\n  k.fill(0)\n  k = createHmac(algo, k).update(v).update(new Buffer([ 0 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  k = createHmac(algo, k).update(v).update(new Buffer([ 1 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  return { k: k, v: v }\n}\n\nfunction bits2int (obits, 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new file mode 100644
index 00000000..4a7de52b
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17)\n  b = fnF(b, c, d, a, M[11], 0x895cd7be, 22)\n  a = fnF(a, b, c, d, M[12], 0x6b901122, 7)\n  d = fnF(d, a, b, c, M[13], 0xfd987193, 12)\n  c = fnF(c, d, a, b, M[14], 0xa679438e, 17)\n  b = fnF(b, c, d, a, M[15], 0x49b40821, 22)\n\n  a = fnG(a, b, c, d, M[1], 0xf61e2562, 5)\n  d = fnG(d, a, b, c, M[6], 0xc040b340, 9)\n  c = fnG(c, d, a, b, M[11], 0x265e5a51, 14)\n  b = fnG(b, c, d, a, M[0], 0xe9b6c7aa, 20)\n  a = fnG(a, b, c, d, M[5], 0xd62f105d, 5)\n  d = fnG(d, a, b, c, M[10], 0x02441453, 9)\n  c = fnG(c, d, a, b, M[15], 0xd8a1e681, 14)\n  b = fnG(b, c, d, a, M[4], 0xe7d3fbc8, 20)\n  a = fnG(a, b, c, d, M[9], 0x21e1cde6, 5)\n  d = fnG(d, a, b, c, M[14], 0xc33707d6, 9)\n  c = fnG(c, d, a, b, M[3], 0xf4d50d87, 14)\n  b = fnG(b, c, d, a, M[8], 0x455a14ed, 20)\n  a = fnG(a, b, c, d, M[13], 0xa9e3e905, 5)\n  d = fnG(d, a, b, c, M[2], 0xfcefa3f8, 9)\n  c = fnG(c, d, a, b, M[7], 0x676f02d9, 14)\n  b = fnG(b, c, d, a, M[12], 0x8d2a4c8a, 20)\n\n  a = fnH(a, b, c, d, M[5], 0xfffa3942, 4)\n  d = fnH(d, a, b, c, M[8], 0x8771f681, 11)\n  c = fnH(c, d, a, b, M[11], 0x6d9d6122, 16)\n  b = fnH(b, c, d, a, M[14], 0xfde5380c, 23)\n  a = fnH(a, b, c, d, M[1], 0xa4beea44, 4)\n  d = fnH(d, a, b, c, M[4], 0x4bdecfa9, 11)\n  c = fnH(c, d, a, b, M[7], 0xf6bb4b60, 16)\n  b = fnH(b, c, d, a, M[10], 0xbebfbc70, 23)\n  a = fnH(a, b, c, d, M[13], 0x289b7ec6, 4)\n  d = fnH(d, a, b, c, M[0], 0xeaa127fa, 11)\n  c = fnH(c, d, a, b, M[3], 0xd4ef3085, 16)\n  b = fnH(b, c, d, a, M[6], 0x04881d05, 23)\n  a = fnH(a, b, c, d, M[9], 0xd9d4d039, 4)\n  d = fnH(d, a, b, c, M[12], 0xe6db99e5, 11)\n  c = fnH(c, d, a, b, M[15], 0x1fa27cf8, 16)\n  b = fnH(b, c, d, a, M[2], 0xc4ac5665, 23)\n\n  a = fnI(a, b, c, d, M[0], 0xf4292244, 6)\n  d = fnI(d, a, b, c, M[7], 0x432aff97, 10)\n  c = fnI(c, d, a, b, M[14], 0xab9423a7, 15)\n  b = fnI(b, c, d, a, M[5], 0xfc93a039, 21)\n  a = fnI(a, b, c, d, M[12], 0x655b59c3, 6)\n  d = fnI(d, a, b, c, M[3], 0x8f0ccc92, 10)\n  c = fnI(c, d, a, b, M[10], 0xffeff47d, 15)\n  b = fnI(b, c, d, a, M[1], 0x85845dd1, 21)\n  a = fnI(a, b, c, d, M[8], 0x6fa87e4f, 6)\n  d = fnI(d, a, b, c, M[15], 0xfe2ce6e0, 10)\n  c = fnI(c, d, a, b, M[6], 0xa3014314, 15)\n  b = fnI(b, c, d, a, M[13], 0x4e0811a1, 21)\n  a = fnI(a, b, c, d, M[4], 0xf7537e82, 6)\n  d = fnI(d, a, b, c, M[11], 0xbd3af235, 10)\n  c = fnI(c, d, a, b, M[2], 0x2ad7d2bb, 15)\n  b = fnI(b, c, d, a, M[9], 0xeb86d391, 21)\n\n  this._a = (this._a + a) | 0\n  this._b = (this._b + b) | 0\n  this._c = (this._c + c) | 0\n  this._d = (this._d + d) | 0\n}\n\nMD5.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = new Buffer(16)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fnF (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnG (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnH (a, b, c, d, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnI (a, b, c, d, m, k, s) {\n  return (rotl((a + ((c ^ (b | (~d)))) + m + k) | 0, s) + b) | 0\n}\n\nmodule.exports = MD5\n"},"lineCount":147}},"hash":"7b0be0a24371ee9ff6c1b52b4ea5e5e4","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/e981e492c5066029cc4aeeecf269d42a.json b/tictac/.cache/e981e492c5066029cc4aeeecf269d42a.json
new file mode 100644
index 00000000..80b129c6
--- /dev/null
+++ b/tictac/.cache/e981e492c5066029cc4aeeecf269d42a.json
@@ -0,0 +1 @@
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case 'enter': return [3, 5];\n                        case 'exit': return [3, 6];\n                        case 'nextIteration': return [3, 7];\n                    }\n                    return [3, 8];\n                case 1: return [2, [getParamValue('pred', node, tensorMap, context)]];\n                case 2:\n                    pred = getParamValue('pred', node, tensorMap, context);\n                    data_1 = getParamValue('data', node, tensorMap, context);\n                    return [4, pred.data()];\n                case 3: return [2, (_b.sent())[0] ? [undefined, data_1] : [data_1, undefined]];\n                case 4:\n                    inputName = node.inputNames.find(function (name) { return getTensor(name, tensorMap, context) !== undefined; });\n                    return [2, inputName ? [getTensor(inputName, tensorMap, context)] : undefined];\n                case 5:\n                    frameId = getParamValue('frameName', node, tensorMap, context);\n                    data = getParamValue('tensor', node, tensorMap, context);\n                    context.enterFrame(frameId);\n                    return [2, [data]];\n                case 6:\n                    tensor = getParamValue('tensor', node, tensorMap, context);\n                    context.exitFrame();\n                    return [2, [tensor]];\n                case 7:\n                    input = getParamValue('tensor', node, tensorMap, context);\n                    context.nextIteration();\n                    return [2, [input]];\n                case 8: throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n            }\n        });\n    });\n}\nexport var CATEGORY = 'control';\n//# sourceMappingURL=control_executor.js.map"},"lineCount":null}},"hash":"ee0c536fcbae78476d0e0f5081a77998","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/ed6e4c2458fcc798f587a31fdbe72556.json b/tictac/.cache/ed6e4c2458fcc798f587a31fdbe72556.json
new file mode 100644
index 00000000..acb87418
--- /dev/null
+++ b/tictac/.cache/ed6e4c2458fcc798f587a31fdbe72556.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/readable-stream/package.json","includedInParent":true,"mtime":499162500000},{"name":"./readable","loc":{"line":1,"column":25}}],"generated":{"js":"module.exports = require('./readable').PassThrough\n","map":{"mappings":[{"source":"node_modules/readable-stream/passthrough.js","original":{"line":1,"column":0},"generated":{"line":1,"column":0}},{"source":"node_modules/readable-stream/passthrough.js","original":{"line":2,"column":0},"generated":{"line":2,"column":0}}],"sources":{"node_modules/readable-stream/passthrough.js":"module.exports = require('./readable').PassThrough\n"},"lineCount":2}},"hash":"c08eab33c3e8ebd5764ce86aa9274aa0","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/f01361c9f48bfd4ad6b91e4c07f51b24.json b/tictac/.cache/f01361c9f48bfd4ad6b91e4c07f51b24.json
new file mode 100644
index 00000000..c457f2cb
--- /dev/null
+++ b/tictac/.cache/f01361c9f48bfd4ad6b91e4c07f51b24.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/url/package.json","includedInParent":true,"mtime":1440689808000},{"name":"punycode","loc":{"line":24,"column":23}},{"name":"./util","loc":{"line":25,"column":19}},{"name":"querystring","loc":{"line":100,"column":26}}],"generated":{"js":"// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\nvar punycode = require('punycode');\nvar util = require('./util');\n\nexports.parse = urlParse;\nexports.resolve = urlResolve;\nexports.resolveObject = urlResolveObject;\nexports.format = urlFormat;\n\nexports.Url = Url;\n\nfunction Url() {\n  this.protocol = null;\n  this.slashes = null;\n  this.auth = null;\n  this.host = null;\n  this.port = null;\n  this.hostname = null;\n  this.hash = null;\n  this.search = null;\n  this.query = null;\n  this.pathname = null;\n  this.path = null;\n  this.href = null;\n}\n\n// Reference: RFC 3986, RFC 1808, RFC 2396\n\n// define these here so at least they only have to be\n// compiled once on the first module load.\nvar protocolPattern = /^([a-z0-9.+-]+:)/i,\n    portPattern = /:[0-9]*$/,\n\n    // Special case for a simple path URL\n    simplePathPattern = /^(\\/\\/?(?!\\/)[^\\?\\s]*)(\\?[^\\s]*)?$/,\n\n    // RFC 2396: characters reserved for delimiting URLs.\n    // We actually just auto-escape these.\n    delims = ['<', '>', '\"', '`', ' ', '\\r', '\\n', '\\t'],\n\n    // RFC 2396: characters not allowed for various reasons.\n    unwise = ['{', '}', '|', '\\\\', '^', '`'].concat(delims),\n\n    // Allowed by RFCs, but cause of XSS attacks.  Always escape these.\n    autoEscape = ['\\''].concat(unwise),\n    // Characters that are never ever allowed in a hostname.\n    // Note that any invalid chars are also handled, but these\n    // are the ones that are *expected* to be seen, so we fast-path\n    // them.\n    nonHostChars = ['%', '/', '?', ';', '#'].concat(autoEscape),\n    hostEndingChars = ['/', '?', '#'],\n    hostnameMaxLen = 255,\n    hostnamePartPattern = /^[+a-z0-9A-Z_-]{0,63}$/,\n    hostnamePartStart = /^([+a-z0-9A-Z_-]{0,63})(.*)$/,\n    // protocols that can allow \"unsafe\" and \"unwise\" chars.\n    unsafeProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that never have a hostname.\n    hostlessProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that always contain a // bit.\n    slashedProtocol = {\n      'http': true,\n      'https': true,\n      'ftp': true,\n      'gopher': true,\n      'file': true,\n      'http:': true,\n      'https:': true,\n      'ftp:': true,\n      'gopher:': true,\n      'file:': true\n    },\n    querystring = require('querystring');\n\nfunction urlParse(url, parseQueryString, slashesDenoteHost) {\n  if (url && util.isObject(url) && url instanceof Url) return url;\n\n  var u = new Url;\n  u.parse(url, parseQueryString, slashesDenoteHost);\n  return u;\n}\n\nUrl.prototype.parse = function(url, parseQueryString, slashesDenoteHost) {\n  if (!util.isString(url)) {\n    throw new TypeError(\"Parameter 'url' must be a string, not \" + typeof url);\n  }\n\n  // Copy chrome, IE, opera backslash-handling behavior.\n  // Back slashes before the query string get converted to forward slashes\n  // See: https://code.google.com/p/chromium/issues/detail?id=25916\n  var queryIndex = url.indexOf('?'),\n      splitter =\n          (queryIndex !== -1 && queryIndex < url.indexOf('#')) ? '?' : '#',\n      uSplit = url.split(splitter),\n      slashRegex = /\\\\/g;\n  uSplit[0] = uSplit[0].replace(slashRegex, '/');\n  url = uSplit.join(splitter);\n\n  var rest = url;\n\n  // trim before proceeding.\n  // This is to support parse stuff like \"  http://foo.com  \\n\"\n  rest = rest.trim();\n\n  if (!slashesDenoteHost && url.split('#').length === 1) {\n    // Try fast path regexp\n    var simplePath = simplePathPattern.exec(rest);\n    if (simplePath) {\n      this.path = rest;\n      this.href = rest;\n      this.pathname = simplePath[1];\n      if (simplePath[2]) {\n        this.search = simplePath[2];\n        if (parseQueryString) {\n          this.query = querystring.parse(this.search.substr(1));\n        } else {\n          this.query = this.search.substr(1);\n        }\n      } else if (parseQueryString) {\n        this.search = '';\n        this.query = {};\n      }\n      return this;\n    }\n  }\n\n  var proto = protocolPattern.exec(rest);\n  if (proto) {\n    proto = proto[0];\n    var lowerProto = proto.toLowerCase();\n    this.protocol = lowerProto;\n    rest = rest.substr(proto.length);\n  }\n\n  // figure out if it's got a host\n  // user@server is *always* interpreted as a hostname, and url\n  // resolution will treat //foo/bar as host=foo,path=bar because that's\n  // how the browser resolves relative URLs.\n  if (slashesDenoteHost || proto || rest.match(/^\\/\\/[^@\\/]+@[^@\\/]+/)) {\n    var slashes = rest.substr(0, 2) === '//';\n    if (slashes && !(proto && hostlessProtocol[proto])) {\n      rest = rest.substr(2);\n      this.slashes = true;\n    }\n  }\n\n  if (!hostlessProtocol[proto] &&\n      (slashes || (proto && !slashedProtocol[proto]))) {\n\n    // there's a hostname.\n    // the first instance of /, ?, ;, or # ends the host.\n    //\n    // If there is an @ in the hostname, then non-host chars *are* allowed\n    // to the left of the last @ sign, unless some host-ending character\n    // comes *before* the @-sign.\n    // URLs are obnoxious.\n    //\n    // ex:\n    // http://a@b@c/ => user:a@b host:c\n    // http://a@b?@c => user:a host:c path:/?@c\n\n    // v0.12 TODO(isaacs): This is not quite how Chrome does things.\n    // Review our test case against browsers more comprehensively.\n\n    // find the first instance of any hostEndingChars\n    var hostEnd = -1;\n    for (var i = 0; i < hostEndingChars.length; i++) {\n      var hec = rest.indexOf(hostEndingChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n\n    // at this point, either we have an explicit point where the\n    // auth portion cannot go past, or the last @ char is the decider.\n    var auth, atSign;\n    if (hostEnd === -1) {\n      // atSign can be anywhere.\n      atSign = rest.lastIndexOf('@');\n    } else {\n      // atSign must be in auth portion.\n      // http://a@b/c@d => host:b auth:a path:/c@d\n      atSign = rest.lastIndexOf('@', hostEnd);\n    }\n\n    // Now we have a portion which is definitely the auth.\n    // Pull that off.\n    if (atSign !== -1) {\n      auth = rest.slice(0, atSign);\n      rest = rest.slice(atSign + 1);\n      this.auth = decodeURIComponent(auth);\n    }\n\n    // the host is the remaining to the left of the first non-host char\n    hostEnd = -1;\n    for (var i = 0; i < nonHostChars.length; i++) {\n      var hec = rest.indexOf(nonHostChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n    // if we still have not hit it, then the entire thing is a host.\n    if (hostEnd === -1)\n      hostEnd = rest.length;\n\n    this.host = rest.slice(0, hostEnd);\n    rest = rest.slice(hostEnd);\n\n    // pull out port.\n    this.parseHost();\n\n    // we've indicated that there is a hostname,\n    // so even if it's empty, it has to be present.\n    this.hostname = this.hostname || '';\n\n    // if hostname begins with [ and ends with ]\n    // assume that it's an IPv6 address.\n    var ipv6Hostname = this.hostname[0] === '[' &&\n        this.hostname[this.hostname.length - 1] === ']';\n\n    // validate a little.\n    if (!ipv6Hostname) {\n      var hostparts = this.hostname.split(/\\./);\n      for (var i = 0, l = hostparts.length; i < l; i++) {\n        var part = hostparts[i];\n        if (!part) continue;\n        if (!part.match(hostnamePartPattern)) {\n          var newpart = '';\n          for (var j = 0, k = part.length; j < k; j++) {\n            if (part.charCodeAt(j) > 127) {\n              // we replace non-ASCII char with a temporary placeholder\n              // we need this to make sure size of hostname is not\n              // broken by replacing non-ASCII by nothing\n              newpart += 'x';\n            } else {\n              newpart += part[j];\n            }\n          }\n          // we test again with ASCII char only\n          if (!newpart.match(hostnamePartPattern)) {\n            var validParts = hostparts.slice(0, i);\n            var notHost = hostparts.slice(i + 1);\n            var bit = part.match(hostnamePartStart);\n            if (bit) {\n              validParts.push(bit[1]);\n              notHost.unshift(bit[2]);\n            }\n            if (notHost.length) {\n              rest = '/' + notHost.join('.') + rest;\n            }\n            this.hostname = validParts.join('.');\n            break;\n          }\n        }\n      }\n    }\n\n    if (this.hostname.length > hostnameMaxLen) {\n      this.hostname = '';\n    } else {\n      // hostnames are always lower case.\n      this.hostname = this.hostname.toLowerCase();\n    }\n\n    if (!ipv6Hostname) {\n      // IDNA Support: Returns a punycoded representation of \"domain\".\n      // It only converts parts of the domain name that\n      // have non-ASCII characters, i.e. it doesn't matter if\n      // you call it with a domain that already is ASCII-only.\n      this.hostname = punycode.toASCII(this.hostname);\n    }\n\n    var p = this.port ? ':' + this.port : '';\n    var h = this.hostname || '';\n    this.host = h + p;\n    this.href += this.host;\n\n    // strip [ and ] from the hostname\n    // the host field still retains them, though\n    if (ipv6Hostname) {\n      this.hostname = this.hostname.substr(1, this.hostname.length - 2);\n      if (rest[0] !== '/') {\n        rest = '/' + rest;\n      }\n    }\n  }\n\n  // now rest is set to the post-host stuff.\n  // chop off any delim chars.\n  if (!unsafeProtocol[lowerProto]) {\n\n    // First, make 100% sure that any \"autoEscape\" chars get\n    // escaped, even if encodeURIComponent doesn't think they\n    // need to be.\n    for (var i = 0, l = autoEscape.length; i < l; i++) {\n      var ae = autoEscape[i];\n      if (rest.indexOf(ae) === -1)\n        continue;\n      var esc = encodeURIComponent(ae);\n      if (esc === ae) {\n        esc = escape(ae);\n      }\n      rest = rest.split(ae).join(esc);\n    }\n  }\n\n\n  // chop off from the tail first.\n  var hash = rest.indexOf('#');\n  if (hash !== -1) {\n    // got a fragment string.\n    this.hash = rest.substr(hash);\n    rest = rest.slice(0, hash);\n  }\n  var qm = rest.indexOf('?');\n  if (qm !== -1) {\n    this.search = rest.substr(qm);\n    this.query = rest.substr(qm + 1);\n    if (parseQueryString) {\n      this.query = querystring.parse(this.query);\n    }\n    rest = rest.slice(0, qm);\n  } else if (parseQueryString) {\n    // no query string, but parseQueryString still requested\n    this.search = '';\n    this.query = {};\n  }\n  if (rest) this.pathname = rest;\n  if (slashedProtocol[lowerProto] &&\n      this.hostname && !this.pathname) {\n    this.pathname = '/';\n  }\n\n  //to support http.request\n  if (this.pathname || this.search) {\n    var p = this.pathname || '';\n    var s = this.search || '';\n    this.path = p + s;\n  }\n\n  // finally, reconstruct the href based on what has been validated.\n  this.href = this.format();\n  return this;\n};\n\n// format a parsed object into a url string\nfunction urlFormat(obj) {\n  // ensure it's an object, and not a string url.\n  // If it's an obj, this is a no-op.\n  // this way, you can call url_format() on strings\n  // to clean up potentially wonky urls.\n  if (util.isString(obj)) obj = urlParse(obj);\n  if (!(obj instanceof Url)) return Url.prototype.format.call(obj);\n  return obj.format();\n}\n\nUrl.prototype.format = function() {\n  var auth = this.auth || '';\n  if (auth) {\n    auth = encodeURIComponent(auth);\n    auth = auth.replace(/%3A/i, ':');\n    auth += '@';\n  }\n\n  var protocol = this.protocol || '',\n      pathname = this.pathname || '',\n      hash = this.hash || '',\n      host = false,\n      query = '';\n\n  if (this.host) {\n    host = auth + this.host;\n  } else if (this.hostname) {\n    host = auth + (this.hostname.indexOf(':') === -1 ?\n        this.hostname :\n        '[' + this.hostname + ']');\n    if (this.port) {\n      host += ':' + this.port;\n    }\n  }\n\n  if (this.query &&\n      util.isObject(this.query) &&\n      Object.keys(this.query).length) {\n    query = querystring.stringify(this.query);\n  }\n\n  var search = this.search || (query && ('?' + query)) || '';\n\n  if (protocol && protocol.substr(-1) !== ':') protocol += ':';\n\n  // only the slashedProtocols get the //.  Not mailto:, xmpp:, etc.\n  // unless they had them to begin with.\n  if (this.slashes ||\n      (!protocol || slashedProtocol[protocol]) && host !== false) {\n    host = '//' + (host || '');\n    if (pathname && pathname.charAt(0) !== '/') pathname = '/' + pathname;\n  } else if (!host) {\n    host = '';\n  }\n\n  if (hash && hash.charAt(0) !== '#') hash = '#' + hash;\n  if (search && search.charAt(0) !== '?') search = '?' + search;\n\n  pathname = pathname.replace(/[?#]/g, function(match) {\n    return encodeURIComponent(match);\n  });\n  search = search.replace('#', '%23');\n\n  return protocol + host + pathname + search + hash;\n};\n\nfunction urlResolve(source, relative) {\n  return urlParse(source, false, true).resolve(relative);\n}\n\nUrl.prototype.resolve = function(relative) {\n  return this.resolveObject(urlParse(relative, false, true)).format();\n};\n\nfunction urlResolveObject(source, relative) {\n  if (!source) return relative;\n  return urlParse(source, false, true).resolveObject(relative);\n}\n\nUrl.prototype.resolveObject = function(relative) {\n  if (util.isString(relative)) {\n    var rel = new Url();\n    rel.parse(relative, false, true);\n    relative = rel;\n  }\n\n  var result = new Url();\n  var tkeys = Object.keys(this);\n  for (var tk = 0; tk < tkeys.length; tk++) {\n    var tkey = tkeys[tk];\n    result[tkey] = this[tkey];\n  }\n\n  // hash is always overridden, no matter what.\n  // even href=\"\" will remove it.\n  result.hash = relative.hash;\n\n  // if the relative url is empty, then there's nothing left to do here.\n  if (relative.href === '') {\n    result.href = result.format();\n    return result;\n  }\n\n  // hrefs like //foo/bar always cut to the protocol.\n  if (relative.slashes && !relative.protocol) {\n    // take everything except the protocol from relative\n    var rkeys = Object.keys(relative);\n    for (var rk = 0; rk < rkeys.length; rk++) {\n      var rkey = rkeys[rk];\n      if (rkey !== 'protocol')\n        result[rkey] = relative[rkey];\n    }\n\n    //urlParse appends trailing / to urls like http://www.example.com\n    if (slashedProtocol[result.protocol] &&\n        result.hostname && !result.pathname) {\n      result.path = result.pathname = '/';\n    }\n\n    result.href = result.format();\n    return result;\n  }\n\n  if (relative.protocol && relative.protocol !== result.protocol) {\n    // if it's a known url protocol, then changing\n    // the protocol does weird things\n    // first, if it's not file:, then we MUST have a host,\n    // and if there was a path\n    // to begin with, then we MUST have a path.\n    // if it is file:, then the host is dropped,\n    // because that's known to be hostless.\n    // anything else is assumed to be absolute.\n    if (!slashedProtocol[relative.protocol]) {\n      var keys = Object.keys(relative);\n      for (var v = 0; v < keys.length; v++) {\n        var k = keys[v];\n        result[k] = relative[k];\n      }\n      result.href = result.format();\n      return result;\n    }\n\n    result.protocol = relative.protocol;\n    if (!relative.host && !hostlessProtocol[relative.protocol]) {\n      var relPath = (relative.pathname || '').split('/');\n      while (relPath.length && !(relative.host = relPath.shift()));\n      if (!relative.host) relative.host = '';\n      if (!relative.hostname) relative.hostname = '';\n      if (relPath[0] !== '') relPath.unshift('');\n      if (relPath.length < 2) relPath.unshift('');\n      result.pathname = relPath.join('/');\n    } else {\n      result.pathname = relative.pathname;\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    result.host = relative.host || '';\n    result.auth = relative.auth;\n    result.hostname = relative.hostname || relative.host;\n    result.port = relative.port;\n    // to support http.request\n    if (result.pathname || result.search) {\n      var p = result.pathname || '';\n      var s = result.search || '';\n      result.path = p + s;\n    }\n    result.slashes = result.slashes || relative.slashes;\n    result.href = result.format();\n    return result;\n  }\n\n  var isSourceAbs = (result.pathname && result.pathname.charAt(0) === '/'),\n      isRelAbs = (\n          relative.host ||\n          relative.pathname && relative.pathname.charAt(0) === '/'\n      ),\n      mustEndAbs = (isRelAbs || isSourceAbs ||\n                    (result.host && relative.pathname)),\n      removeAllDots = mustEndAbs,\n      srcPath = result.pathname && result.pathname.split('/') || [],\n      relPath = relative.pathname && relative.pathname.split('/') || [],\n      psychotic = result.protocol && !slashedProtocol[result.protocol];\n\n  // if the url is a non-slashed url, then relative\n  // links like ../.. should be able\n  // to crawl up to the hostname, as well.  This is strange.\n  // result.protocol has already been set by now.\n  // Later on, put the first path part into the host field.\n  if (psychotic) {\n    result.hostname = '';\n    result.port = null;\n    if (result.host) {\n      if (srcPath[0] === '') srcPath[0] = result.host;\n      else srcPath.unshift(result.host);\n    }\n    result.host = '';\n    if (relative.protocol) {\n      relative.hostname = null;\n      relative.port = null;\n      if (relative.host) {\n        if (relPath[0] === '') relPath[0] = relative.host;\n        else relPath.unshift(relative.host);\n      }\n      relative.host = null;\n    }\n    mustEndAbs = mustEndAbs && (relPath[0] === '' || srcPath[0] === '');\n  }\n\n  if (isRelAbs) {\n    // it's absolute.\n    result.host = (relative.host || relative.host === '') ?\n                  relative.host : result.host;\n    result.hostname = (relative.hostname || relative.hostname === '') ?\n                      relative.hostname : result.hostname;\n    result.search = relative.search;\n    result.query = relative.query;\n    srcPath = relPath;\n    // fall through to the dot-handling below.\n  } else if (relPath.length) {\n    // it's relative\n    // throw away the existing file, and take the new path instead.\n    if (!srcPath) srcPath = [];\n    srcPath.pop();\n    srcPath = srcPath.concat(relPath);\n    result.search = relative.search;\n    result.query = relative.query;\n  } else if (!util.isNullOrUndefined(relative.search)) {\n    // just pull out the search.\n    // like href='?foo'.\n    // Put this after the other two cases because it simplifies the booleans\n    if (psychotic) {\n      result.hostname = result.host = srcPath.shift();\n      //occationaly the auth can get stuck only in host\n      //this especially happens in cases like\n      //url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n      var authInHost = result.host && result.host.indexOf('@') > 0 ?\n                       result.host.split('@') : false;\n      if (authInHost) {\n        result.auth = authInHost.shift();\n        result.host = result.hostname = authInHost.shift();\n      }\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    //to support http.request\n    if (!util.isNull(result.pathname) || !util.isNull(result.search)) {\n      result.path = (result.pathname ? result.pathname : '') +\n                    (result.search ? result.search : '');\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  if (!srcPath.length) {\n    // no path at all.  easy.\n    // we've already handled the other stuff above.\n    result.pathname = null;\n    //to support http.request\n    if (result.search) {\n      result.path = '/' + result.search;\n    } else {\n      result.path = null;\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  // if a url ENDs in . or .., then it must get a trailing slash.\n  // however, if it ends in anything else non-slashy,\n  // then it must NOT get a trailing slash.\n  var last = srcPath.slice(-1)[0];\n  var hasTrailingSlash = (\n      (result.host || relative.host || srcPath.length > 1) &&\n      (last === '.' || last === '..') || last === '');\n\n  // strip single dots, resolve double dots to parent dir\n  // if the path tries to go above the root, `up` ends up > 0\n  var up = 0;\n  for (var i = srcPath.length; i >= 0; i--) {\n    last = srcPath[i];\n    if (last === '.') {\n      srcPath.splice(i, 1);\n    } else if (last === '..') {\n      srcPath.splice(i, 1);\n      up++;\n    } else if (up) {\n      srcPath.splice(i, 1);\n      up--;\n    }\n  }\n\n  // if the path is allowed to go above the root, restore leading ..s\n  if (!mustEndAbs && !removeAllDots) {\n    for (; up--; up) {\n      srcPath.unshift('..');\n    }\n  }\n\n  if (mustEndAbs && srcPath[0] !== '' &&\n      (!srcPath[0] || srcPath[0].charAt(0) !== '/')) {\n    srcPath.unshift('');\n  }\n\n  if (hasTrailingSlash && (srcPath.join('/').substr(-1) !== '/')) {\n    srcPath.push('');\n  }\n\n  var isAbsolute = srcPath[0] === '' ||\n      (srcPath[0] && srcPath[0].charAt(0) === '/');\n\n  // put the host back\n  if (psychotic) {\n    result.hostname = result.host = isAbsolute ? 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Always escape these.\n    autoEscape = ['\\''].concat(unwise),\n    // Characters that are never ever allowed in a hostname.\n    // Note that any invalid chars are also handled, but these\n    // are the ones that are *expected* to be seen, so we fast-path\n    // them.\n    nonHostChars = ['%', '/', '?', ';', '#'].concat(autoEscape),\n    hostEndingChars = ['/', '?', '#'],\n    hostnameMaxLen = 255,\n    hostnamePartPattern = /^[+a-z0-9A-Z_-]{0,63}$/,\n    hostnamePartStart = /^([+a-z0-9A-Z_-]{0,63})(.*)$/,\n    // protocols that can allow \"unsafe\" and \"unwise\" chars.\n    unsafeProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that never have a hostname.\n    hostlessProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that always contain a // bit.\n    slashedProtocol = {\n      'http': true,\n      'https': true,\n      'ftp': true,\n      'gopher': true,\n      'file': true,\n      'http:': true,\n      'https:': true,\n      'ftp:': true,\n      'gopher:': true,\n      'file:': true\n    },\n    querystring = require('querystring');\n\nfunction urlParse(url, parseQueryString, slashesDenoteHost) {\n  if (url && util.isObject(url) && url instanceof Url) return url;\n\n  var u = new Url;\n  u.parse(url, parseQueryString, slashesDenoteHost);\n  return u;\n}\n\nUrl.prototype.parse = function(url, parseQueryString, slashesDenoteHost) {\n  if (!util.isString(url)) {\n    throw new TypeError(\"Parameter 'url' must be a string, not \" + typeof url);\n  }\n\n  // Copy chrome, IE, opera backslash-handling behavior.\n  // Back slashes before the query string get converted to forward slashes\n  // See: https://code.google.com/p/chromium/issues/detail?id=25916\n  var queryIndex = url.indexOf('?'),\n      splitter =\n          (queryIndex !== -1 && queryIndex < url.indexOf('#')) ? '?' : '#',\n      uSplit = url.split(splitter),\n      slashRegex = /\\\\/g;\n  uSplit[0] = uSplit[0].replace(slashRegex, '/');\n  url = uSplit.join(splitter);\n\n  var rest = url;\n\n  // trim before proceeding.\n  // This is to support parse stuff like \"  http://foo.com  \\n\"\n  rest = rest.trim();\n\n  if (!slashesDenoteHost && url.split('#').length === 1) {\n    // Try fast path regexp\n    var simplePath = simplePathPattern.exec(rest);\n    if (simplePath) {\n      this.path = rest;\n      this.href = rest;\n      this.pathname = simplePath[1];\n      if (simplePath[2]) {\n        this.search = simplePath[2];\n        if (parseQueryString) {\n          this.query = querystring.parse(this.search.substr(1));\n        } else {\n          this.query = this.search.substr(1);\n        }\n      } else if (parseQueryString) {\n        this.search = '';\n        this.query = {};\n      }\n      return this;\n    }\n  }\n\n  var proto = protocolPattern.exec(rest);\n  if (proto) {\n    proto = proto[0];\n    var lowerProto = proto.toLowerCase();\n    this.protocol = lowerProto;\n    rest = rest.substr(proto.length);\n  }\n\n  // figure out if it's got a host\n  // user@server is *always* interpreted as a hostname, and url\n  // resolution will treat //foo/bar as host=foo,path=bar because that's\n  // how the browser resolves relative URLs.\n  if (slashesDenoteHost || proto || rest.match(/^\\/\\/[^@\\/]+@[^@\\/]+/)) {\n    var slashes = rest.substr(0, 2) === '//';\n    if (slashes && !(proto && hostlessProtocol[proto])) {\n      rest = rest.substr(2);\n      this.slashes = true;\n    }\n  }\n\n  if (!hostlessProtocol[proto] &&\n      (slashes || (proto && !slashedProtocol[proto]))) {\n\n    // there's a hostname.\n    // the first instance of /, ?, ;, or # ends the host.\n    //\n    // If there is an @ in the hostname, then non-host chars *are* allowed\n    // to the left of the last @ sign, unless some host-ending character\n    // comes *before* the @-sign.\n    // URLs are obnoxious.\n    //\n    // ex:\n    // http://a@b@c/ => user:a@b host:c\n    // http://a@b?@c => user:a host:c path:/?@c\n\n    // v0.12 TODO(isaacs): This is not quite how Chrome does things.\n    // Review our test case against browsers more comprehensively.\n\n    // find the first instance of any hostEndingChars\n    var hostEnd = -1;\n    for (var i = 0; i < hostEndingChars.length; i++) {\n      var hec = rest.indexOf(hostEndingChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n\n    // at this point, either we have an explicit point where the\n    // auth portion cannot go past, or the last @ char is the decider.\n    var auth, atSign;\n    if (hostEnd === -1) {\n      // atSign can be anywhere.\n      atSign = rest.lastIndexOf('@');\n    } else {\n      // atSign must be in auth portion.\n      // http://a@b/c@d => host:b auth:a path:/c@d\n      atSign = rest.lastIndexOf('@', hostEnd);\n    }\n\n    // Now we have a portion which is definitely the auth.\n    // Pull that off.\n    if (atSign !== -1) {\n      auth = rest.slice(0, atSign);\n      rest = rest.slice(atSign + 1);\n      this.auth = decodeURIComponent(auth);\n    }\n\n    // the host is the remaining to the left of the first non-host char\n    hostEnd = -1;\n    for (var i = 0; i < nonHostChars.length; i++) {\n      var hec = rest.indexOf(nonHostChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n    // if we still have not hit it, then the entire thing is a host.\n    if (hostEnd === -1)\n      hostEnd = rest.length;\n\n    this.host = rest.slice(0, hostEnd);\n    rest = rest.slice(hostEnd);\n\n    // pull out port.\n    this.parseHost();\n\n    // we've indicated that there is a hostname,\n    // so even if it's empty, it has to be present.\n    this.hostname = this.hostname || '';\n\n    // if hostname begins with [ and ends with ]\n    // assume that it's an IPv6 address.\n    var ipv6Hostname = this.hostname[0] === '[' &&\n        this.hostname[this.hostname.length - 1] === ']';\n\n    // validate a little.\n    if (!ipv6Hostname) {\n      var hostparts = this.hostname.split(/\\./);\n      for (var i = 0, l = hostparts.length; i < l; i++) {\n        var part = hostparts[i];\n        if (!part) continue;\n        if (!part.match(hostnamePartPattern)) {\n          var newpart = '';\n          for (var j = 0, k = part.length; j < k; j++) {\n            if (part.charCodeAt(j) > 127) {\n              // we replace non-ASCII char with a temporary placeholder\n              // we need this to make sure size of hostname is not\n              // broken by replacing non-ASCII by nothing\n              newpart += 'x';\n            } else {\n              newpart += part[j];\n            }\n          }\n          // we test again with ASCII char only\n          if (!newpart.match(hostnamePartPattern)) {\n            var validParts = hostparts.slice(0, i);\n            var notHost = hostparts.slice(i + 1);\n            var bit = part.match(hostnamePartStart);\n            if (bit) {\n              validParts.push(bit[1]);\n              notHost.unshift(bit[2]);\n            }\n            if (notHost.length) {\n              rest = '/' + notHost.join('.') + rest;\n            }\n            this.hostname = validParts.join('.');\n            break;\n          }\n        }\n      }\n    }\n\n    if (this.hostname.length > hostnameMaxLen) {\n      this.hostname = '';\n    } else {\n      // hostnames are always lower case.\n      this.hostname = this.hostname.toLowerCase();\n    }\n\n    if (!ipv6Hostname) {\n      // IDNA Support: Returns a punycoded representation of \"domain\".\n      // It only converts parts of the domain name that\n      // have non-ASCII characters, i.e. it doesn't matter if\n      // you call it with a domain that already is ASCII-only.\n      this.hostname = punycode.toASCII(this.hostname);\n    }\n\n    var p = this.port ? ':' + this.port : '';\n    var h = this.hostname || '';\n    this.host = h + p;\n    this.href += this.host;\n\n    // strip [ and ] from the hostname\n    // the host field still retains them, though\n    if (ipv6Hostname) {\n      this.hostname = this.hostname.substr(1, this.hostname.length - 2);\n      if (rest[0] !== '/') {\n        rest = '/' + rest;\n      }\n    }\n  }\n\n  // now rest is set to the post-host stuff.\n  // chop off any delim chars.\n  if (!unsafeProtocol[lowerProto]) {\n\n    // First, make 100% sure that any \"autoEscape\" chars get\n    // escaped, even if encodeURIComponent doesn't think they\n    // need to be.\n    for (var i = 0, l = autoEscape.length; i < l; i++) {\n      var ae = autoEscape[i];\n      if (rest.indexOf(ae) === -1)\n        continue;\n      var esc = encodeURIComponent(ae);\n      if (esc === ae) {\n        esc = escape(ae);\n      }\n      rest = rest.split(ae).join(esc);\n    }\n  }\n\n\n  // chop off from the tail first.\n  var hash = rest.indexOf('#');\n  if (hash !== -1) {\n    // got a fragment string.\n    this.hash = rest.substr(hash);\n    rest = rest.slice(0, hash);\n  }\n  var qm = rest.indexOf('?');\n  if (qm !== -1) {\n    this.search = rest.substr(qm);\n    this.query = rest.substr(qm + 1);\n    if (parseQueryString) {\n      this.query = querystring.parse(this.query);\n    }\n    rest = rest.slice(0, qm);\n  } else if (parseQueryString) {\n    // no query string, but parseQueryString still requested\n    this.search = '';\n    this.query = {};\n  }\n  if (rest) this.pathname = rest;\n  if (slashedProtocol[lowerProto] &&\n      this.hostname && !this.pathname) {\n    this.pathname = '/';\n  }\n\n  //to support http.request\n  if (this.pathname || this.search) {\n    var p = this.pathname || '';\n    var s = this.search || '';\n    this.path = p + s;\n  }\n\n  // finally, reconstruct the href based on what has been validated.\n  this.href = this.format();\n  return this;\n};\n\n// format a parsed object into a url string\nfunction urlFormat(obj) {\n  // ensure it's an object, and not a string url.\n  // If it's an obj, this is a no-op.\n  // this way, you can call url_format() on strings\n  // to clean up potentially wonky urls.\n  if (util.isString(obj)) obj = urlParse(obj);\n  if (!(obj instanceof Url)) return Url.prototype.format.call(obj);\n  return obj.format();\n}\n\nUrl.prototype.format = function() {\n  var auth = this.auth || '';\n  if (auth) {\n    auth = encodeURIComponent(auth);\n    auth = auth.replace(/%3A/i, ':');\n    auth += '@';\n  }\n\n  var protocol = this.protocol || '',\n      pathname = this.pathname || '',\n      hash = this.hash || '',\n      host = false,\n      query = '';\n\n  if (this.host) {\n    host = auth + this.host;\n  } else if (this.hostname) {\n    host = auth + (this.hostname.indexOf(':') === -1 ?\n        this.hostname :\n        '[' + this.hostname + ']');\n    if (this.port) {\n      host += ':' + this.port;\n    }\n  }\n\n  if (this.query &&\n      util.isObject(this.query) &&\n      Object.keys(this.query).length) {\n    query = querystring.stringify(this.query);\n  }\n\n  var search = this.search || (query && ('?' + query)) || '';\n\n  if (protocol && protocol.substr(-1) !== ':') protocol += ':';\n\n  // only the slashedProtocols get the //.  Not mailto:, xmpp:, etc.\n  // unless they had them to begin with.\n  if (this.slashes ||\n      (!protocol || slashedProtocol[protocol]) && host !== false) {\n    host = '//' + (host || '');\n    if (pathname && pathname.charAt(0) !== '/') pathname = '/' + pathname;\n  } else if (!host) {\n    host = '';\n  }\n\n  if (hash && hash.charAt(0) !== '#') hash = '#' + hash;\n  if (search && search.charAt(0) !== '?') search = '?' + search;\n\n  pathname = pathname.replace(/[?#]/g, function(match) {\n    return encodeURIComponent(match);\n  });\n  search = search.replace('#', '%23');\n\n  return protocol + host + pathname + search + hash;\n};\n\nfunction urlResolve(source, relative) {\n  return urlParse(source, false, true).resolve(relative);\n}\n\nUrl.prototype.resolve = function(relative) {\n  return this.resolveObject(urlParse(relative, false, true)).format();\n};\n\nfunction urlResolveObject(source, relative) {\n  if (!source) return relative;\n  return urlParse(source, false, true).resolveObject(relative);\n}\n\nUrl.prototype.resolveObject = function(relative) {\n  if (util.isString(relative)) {\n    var rel = new Url();\n    rel.parse(relative, false, true);\n    relative = rel;\n  }\n\n  var result = new Url();\n  var tkeys = Object.keys(this);\n  for (var tk = 0; tk < tkeys.length; tk++) {\n    var tkey = tkeys[tk];\n    result[tkey] = this[tkey];\n  }\n\n  // hash is always overridden, no matter what.\n  // even href=\"\" will remove it.\n  result.hash = relative.hash;\n\n  // if the relative url is empty, then there's nothing left to do here.\n  if (relative.href === '') {\n    result.href = result.format();\n    return result;\n  }\n\n  // hrefs like //foo/bar always cut to the protocol.\n  if (relative.slashes && !relative.protocol) {\n    // take everything except the protocol from relative\n    var rkeys = Object.keys(relative);\n    for (var rk = 0; rk < rkeys.length; rk++) {\n      var rkey = rkeys[rk];\n      if (rkey !== 'protocol')\n        result[rkey] = relative[rkey];\n    }\n\n    //urlParse appends trailing / to urls like http://www.example.com\n    if (slashedProtocol[result.protocol] &&\n        result.hostname && !result.pathname) {\n      result.path = result.pathname = '/';\n    }\n\n    result.href = result.format();\n    return result;\n  }\n\n  if (relative.protocol && relative.protocol !== result.protocol) {\n    // if it's a known url protocol, then changing\n    // the protocol does weird things\n    // first, if it's not file:, then we MUST have a host,\n    // and if there was a path\n    // to begin with, then we MUST have a path.\n    // if it is file:, then the host is dropped,\n    // because that's known to be hostless.\n    // anything else is assumed to be absolute.\n    if (!slashedProtocol[relative.protocol]) {\n      var keys = Object.keys(relative);\n      for (var v = 0; v < keys.length; v++) {\n        var k = keys[v];\n        result[k] = relative[k];\n      }\n      result.href = result.format();\n      return result;\n    }\n\n    result.protocol = relative.protocol;\n    if (!relative.host && !hostlessProtocol[relative.protocol]) {\n      var relPath = (relative.pathname || '').split('/');\n      while (relPath.length && !(relative.host = relPath.shift()));\n      if (!relative.host) relative.host = '';\n      if (!relative.hostname) relative.hostname = '';\n      if (relPath[0] !== '') relPath.unshift('');\n      if (relPath.length < 2) relPath.unshift('');\n      result.pathname = relPath.join('/');\n    } else {\n      result.pathname = relative.pathname;\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    result.host = relative.host || '';\n    result.auth = relative.auth;\n    result.hostname = relative.hostname || relative.host;\n    result.port = relative.port;\n    // to support http.request\n    if (result.pathname || result.search) {\n      var p = result.pathname || '';\n      var s = result.search || '';\n      result.path = p + s;\n    }\n    result.slashes = result.slashes || relative.slashes;\n    result.href = result.format();\n    return result;\n  }\n\n  var isSourceAbs = (result.pathname && result.pathname.charAt(0) === '/'),\n      isRelAbs = (\n          relative.host ||\n          relative.pathname && relative.pathname.charAt(0) === '/'\n      ),\n      mustEndAbs = (isRelAbs || isSourceAbs ||\n                    (result.host && relative.pathname)),\n      removeAllDots = mustEndAbs,\n      srcPath = result.pathname && result.pathname.split('/') || [],\n      relPath = relative.pathname && relative.pathname.split('/') || [],\n      psychotic = result.protocol && !slashedProtocol[result.protocol];\n\n  // if the url is a non-slashed url, then relative\n  // links like ../.. should be able\n  // to crawl up to the hostname, as well.  This is strange.\n  // result.protocol has already been set by now.\n  // Later on, put the first path part into the host field.\n  if (psychotic) {\n    result.hostname = '';\n    result.port = null;\n    if (result.host) {\n      if (srcPath[0] === '') srcPath[0] = result.host;\n      else srcPath.unshift(result.host);\n    }\n    result.host = '';\n    if (relative.protocol) {\n      relative.hostname = null;\n      relative.port = null;\n      if (relative.host) {\n        if (relPath[0] === '') relPath[0] = relative.host;\n        else relPath.unshift(relative.host);\n      }\n      relative.host = null;\n    }\n    mustEndAbs = mustEndAbs && (relPath[0] === '' || srcPath[0] === '');\n  }\n\n  if (isRelAbs) {\n    // it's absolute.\n    result.host = (relative.host || relative.host === '') ?\n                  relative.host : result.host;\n    result.hostname = (relative.hostname || relative.hostname === '') ?\n                      relative.hostname : result.hostname;\n    result.search = relative.search;\n    result.query = relative.query;\n    srcPath = relPath;\n    // fall through to the dot-handling below.\n  } else if (relPath.length) {\n    // it's relative\n    // throw away the existing file, and take the new path instead.\n    if (!srcPath) srcPath = [];\n    srcPath.pop();\n    srcPath = srcPath.concat(relPath);\n    result.search = relative.search;\n    result.query = relative.query;\n  } else if (!util.isNullOrUndefined(relative.search)) {\n    // just pull out the search.\n    // like href='?foo'.\n    // Put this after the other two cases because it simplifies the booleans\n    if (psychotic) {\n      result.hostname = result.host = srcPath.shift();\n      //occationaly the auth can get stuck only in host\n      //this especially happens in cases like\n      //url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n      var authInHost = result.host && result.host.indexOf('@') > 0 ?\n                       result.host.split('@') : false;\n      if (authInHost) {\n        result.auth = authInHost.shift();\n        result.host = result.hostname = authInHost.shift();\n      }\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    //to support http.request\n    if (!util.isNull(result.pathname) || !util.isNull(result.search)) {\n      result.path = (result.pathname ? result.pathname : '') +\n                    (result.search ? result.search : '');\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  if (!srcPath.length) {\n    // no path at all.  easy.\n    // we've already handled the other stuff above.\n    result.pathname = null;\n    //to support http.request\n    if (result.search) {\n      result.path = '/' + result.search;\n    } else {\n      result.path = null;\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  // if a url ENDs in . or .., then it must get a trailing slash.\n  // however, if it ends in anything else non-slashy,\n  // then it must NOT get a trailing slash.\n  var last = srcPath.slice(-1)[0];\n  var hasTrailingSlash = (\n      (result.host || relative.host || srcPath.length > 1) &&\n      (last === '.' || last === '..') || last === '');\n\n  // strip single dots, resolve double dots to parent dir\n  // if the path tries to go above the root, `up` ends up > 0\n  var up = 0;\n  for (var i = srcPath.length; i >= 0; i--) {\n    last = srcPath[i];\n    if (last === '.') {\n      srcPath.splice(i, 1);\n    } else if (last === '..') {\n      srcPath.splice(i, 1);\n      up++;\n    } else if (up) {\n      srcPath.splice(i, 1);\n      up--;\n    }\n  }\n\n  // if the path is allowed to go above the root, restore leading ..s\n  if (!mustEndAbs && !removeAllDots) {\n    for (; up--; up) {\n      srcPath.unshift('..');\n    }\n  }\n\n  if (mustEndAbs && srcPath[0] !== '' &&\n      (!srcPath[0] || srcPath[0].charAt(0) !== '/')) {\n    srcPath.unshift('');\n  }\n\n  if (hasTrailingSlash && (srcPath.join('/').substr(-1) !== '/')) {\n    srcPath.push('');\n  }\n\n  var isAbsolute = srcPath[0] === '' ||\n      (srcPath[0] && srcPath[0].charAt(0) === '/');\n\n  // put the host back\n  if (psychotic) {\n    result.hostname = result.host = isAbsolute ? '' :\n                                    srcPath.length ? srcPath.shift() : '';\n    //occationaly the auth can get stuck only in host\n    //this especially happens in cases like\n    //url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n    var authInHost = result.host && result.host.indexOf('@') > 0 ?\n                     result.host.split('@') : false;\n    if (authInHost) {\n      result.auth = authInHost.shift();\n      result.host = result.hostname = authInHost.shift();\n    }\n  }\n\n  mustEndAbs = mustEndAbs || (result.host && srcPath.length);\n\n  if (mustEndAbs && !isAbsolute) {\n    srcPath.unshift('');\n  }\n\n  if (!srcPath.length) {\n    result.pathname = null;\n    result.path = null;\n  } else {\n    result.pathname = srcPath.join('/');\n  }\n\n  //to support request.http\n  if (!util.isNull(result.pathname) || !util.isNull(result.search)) {\n    result.path = (result.pathname ? result.pathname : '') +\n                  (result.search ? result.search : '');\n  }\n  result.auth = relative.auth || result.auth;\n  result.slashes = result.slashes || relative.slashes;\n  result.href = result.format();\n  return result;\n};\n\nUrl.prototype.parseHost = function() {\n  var host = this.host;\n  var port = portPattern.exec(host);\n  if (port) {\n    port = port[0];\n    if (port !== ':') {\n      this.port = port.substr(1);\n    }\n    host = host.substr(0, host.length - port.length);\n  }\n  if (host) this.hostname = host;\n};\n"},"lineCount":733}},"hash":"225db8078f1cf17ae2fac4933f445dbc","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/.cache/f126a05fe96f56acdcdcb8642a8ad47f.json b/tictac/.cache/f126a05fe96f56acdcdcb8642a8ad47f.json
new file mode 100644
index 00000000..a4094047
--- /dev/null
+++ b/tictac/.cache/f126a05fe96f56acdcdcb8642a8ad47f.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/elliptic/package.json","includedInParent":true,"mtime":1487798844000},{"name":"hash.js","loc":{"line":5,"column":19}},{"name":"../elliptic","loc":{"line":6,"column":23}},{"name":"./precomputed/secp256k1","optional":true,"loc":{"line":170,"column":16}}],"generated":{"js":"'use strict';\n\nvar curves = exports;\n\nvar hash = require('hash.js');\nvar elliptic = require('../elliptic');\n\nvar assert = elliptic.utils.assert;\n\nfunction PresetCurve(options) {\n  if (options.type === 'short')\n    this.curve = new elliptic.curve.short(options);\n  else if (options.type === 'edwards')\n    this.curve = new elliptic.curve.edwards(options);\n  else\n    this.curve = new elliptic.curve.mont(options);\n  this.g = this.curve.g;\n  this.n = this.curve.n;\n  this.hash = options.hash;\n\n  assert(this.g.validate(), 'Invalid curve');\n  assert(this.g.mul(this.n).isInfinity(), 'Invalid curve, G*N != O');\n}\ncurves.PresetCurve = PresetCurve;\n\nfunction defineCurve(name, options) {\n  Object.defineProperty(curves, name, {\n    configurable: true,\n    enumerable: true,\n    get: function() {\n      var curve = new PresetCurve(options);\n      Object.defineProperty(curves, name, {\n        configurable: true,\n        enumerable: true,\n        value: curve\n      });\n      return curve;\n    }\n  });\n}\n\ndefineCurve('p192', {\n  type: 'short',\n  prime: 'p192',\n  p: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc',\n  b: '64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1',\n  n: 'ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012',\n    '07192b95 ffc8da78 631011ed 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'bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34'\n  ]\n});\n\ndefineCurve('p256', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff',\n  a: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc',\n  b: '5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b',\n  n: 'ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296',\n    '4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5'\n  ]\n});\n\ndefineCurve('p384', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 ffffffff',\n  a: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 fffffffc',\n  b: 'b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f ' +\n     '5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef',\n  n: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 ' +\n     'f4372ddf 581a0db2 48b0a77a ecec196a ccc52973',\n  hash: hash.sha384,\n  gRed: false,\n  g: [\n    'aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 ' +\n    '5502f25d bf55296c 3a545e38 72760ab7',\n    '3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 ' +\n    '0a60b1ce 1d7e819d 7a431d7c 90ea0e5f'\n  ]\n});\n\ndefineCurve('p521', {\n  type: 'short',\n  prime: null,\n  p: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff',\n  a: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff fffffffc',\n  b: '00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b ' +\n     '99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd ' +\n     '3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00',\n  n: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 ' +\n     'f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409',\n  hash: hash.sha512,\n  gRed: false,\n  g: [\n    '000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 ' +\n    '053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 ' +\n    'a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66',\n    '00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 ' +\n    '579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 ' +\n    '3fad0761 353c7086 a272c240 88be9476 9fd16650'\n  ]\n});\n\ndefineCurve('curve25519', {\n  type: 'mont',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '76d06',\n  b: '1',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '9'\n  ]\n});\n\ndefineCurve('ed25519', {\n  type: 'edwards',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '-1',\n  c: '1',\n  // -121665 * (121666^(-1)) (mod P)\n  d: '52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a',\n\n    // 4/5\n    '6666666666666666666666666666666666666666666666666666666666666658'\n  ]\n});\n\nvar pre;\ntry {\n  pre = require('./precomputed/secp256k1');\n} catch (e) {\n  pre = undefined;\n}\n\ndefineCurve('secp256k1', {\n  type: 'short',\n  prime: 'k256',\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f',\n  a: '0',\n  b: '7',\n  n: 'ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c 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diff --git a/tictac/.cache/f17af950c5f3ff97c7b8718ec07c293d.json b/tictac/.cache/f17af950c5f3ff97c7b8718ec07c293d.json
new file mode 100644
index 00000000..05945d2a
--- /dev/null
+++ b/tictac/.cache/f17af950c5f3ff97c7b8718ec07c293d.json
@@ -0,0 +1 @@
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diff --git a/tictac/.cache/f35fe7b46aa794e2dd69df5cebaa460d.json b/tictac/.cache/f35fe7b46aa794e2dd69df5cebaa460d.json
new file mode 100644
index 00000000..5fccaed6
--- /dev/null
+++ b/tictac/.cache/f35fe7b46aa794e2dd69df5cebaa460d.json
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\ No newline at end of file
diff --git a/tictac/.cache/f51de945cbf1061253c0057c2a9048a8.json b/tictac/.cache/f51de945cbf1061253c0057c2a9048a8.json
new file mode 100644
index 00000000..cad7d670
--- /dev/null
+++ b/tictac/.cache/f51de945cbf1061253c0057c2a9048a8.json
@@ -0,0 +1 @@
+{"dependencies":[{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/package.json","includedInParent":true,"mtime":1530407050385},{"name":"/home/supersteve/git/DeepReinforcementLearning/tictac/node_modules/diffie-hellman/package.json","includedInParent":true,"mtime":499162500000},{"name":"bn.js","loc":{"line":1,"column":17}},{"name":"miller-rabin","loc":{"line":2,"column":26}},{"name":"./generatePrime","loc":{"line":9,"column":21}},{"name":"randombytes","loc":{"line":10,"column":26}},{"name":"buffer"}],"generated":{"js":"var Buffer = require(\"buffer\").Buffer;\nvar BN = require('bn.js');\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar TWENTYFOUR = new BN(24);\nvar ELEVEN = new BN(11);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar primes = require('./generatePrime');\nvar randomBytes = require('randombytes');\nmodule.exports = DH;\n\nfunction setPublicKey(pub, enc) {\n  enc = enc || 'utf8';\n  if 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BN = require('bn.js');\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar TWENTYFOUR = new BN(24);\nvar ELEVEN = new BN(11);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar primes = require('./generatePrime');\nvar randomBytes = require('randombytes');\nmodule.exports = DH;\n\nfunction setPublicKey(pub, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc);\n  }\n  this._pub = new BN(pub);\n  return this;\n}\n\nfunction setPrivateKey(priv, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc);\n  }\n  this._priv = new BN(priv);\n  return this;\n}\n\nvar primeCache = {};\nfunction checkPrime(prime, generator) {\n  var gen = generator.toString('hex');\n  var hex = [gen, prime.toString(16)].join('_');\n  if (hex in primeCache) {\n    return primeCache[hex];\n  }\n  var error = 0;\n\n  if (prime.isEven() ||\n    !primes.simpleSieve ||\n    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this.setGenerator(generator);\n  this.__prime = new BN(prime);\n  this._prime = BN.mont(this.__prime);\n  this._primeLen = prime.length;\n  this._pub = undefined;\n  this._priv = undefined;\n  this._primeCode = undefined;\n  if (malleable) {\n    this.setPublicKey = setPublicKey;\n    this.setPrivateKey = setPrivateKey;\n  } else {\n    this._primeCode = 8;\n  }\n}\nObject.defineProperty(DH.prototype, 'verifyError', {\n  enumerable: true,\n  get: function () {\n    if (typeof this._primeCode !== 'number') {\n      this._primeCode = checkPrime(this.__prime, this.__gen);\n    }\n    return this._primeCode;\n  }\n});\nDH.prototype.generateKeys = function () {\n  if (!this._priv) {\n    this._priv = new BN(randomBytes(this._primeLen));\n  }\n  this._pub = this._gen.toRed(this._prime).redPow(this._priv).fromRed();\n  return this.getPublicKey();\n};\n\nDH.prototype.computeSecret = function (other) {\n  other = new BN(other);\n  other = other.toRed(this._prime);\n  var secret = other.redPow(this._priv).fromRed();\n  var out = new Buffer(secret.toArray());\n  var prime = this.getPrime();\n  if (out.length < prime.length) {\n    var front = new Buffer(prime.length - out.length);\n    front.fill(0);\n    out = Buffer.concat([front, out]);\n  }\n  return out;\n};\n\nDH.prototype.getPublicKey = function getPublicKey(enc) {\n  return formatReturnValue(this._pub, enc);\n};\n\nDH.prototype.getPrivateKey = function getPrivateKey(enc) {\n  return formatReturnValue(this._priv, enc);\n};\n\nDH.prototype.getPrime = function (enc) {\n  return formatReturnValue(this.__prime, enc);\n};\n\nDH.prototype.getGenerator = function (enc) {\n  return formatReturnValue(this._gen, enc);\n};\n\nDH.prototype.setGenerator = function (gen, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(gen)) {\n    gen = new Buffer(gen, enc);\n  }\n  this.__gen = gen;\n  this._gen = new BN(gen);\n  return this;\n};\n\nfunction formatReturnValue(bn, enc) {\n  var buf = new Buffer(bn.toArray());\n  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\ No newline at end of file
diff --git a/tictac/.cache/f76fadf6757229ccd1b40209242c35f0.json b/tictac/.cache/f76fadf6757229ccd1b40209242c35f0.json
new file mode 100644
index 00000000..f0ea83d2
--- /dev/null
+++ b/tictac/.cache/f76fadf6757229ccd1b40209242c35f0.json
@@ -0,0 +1 @@
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diff --git a/tictac/.cache/f9bbf03f62ec1aa5b79715f68da33946.json b/tictac/.cache/f9bbf03f62ec1aa5b79715f68da33946.json
new file mode 100644
index 00000000..26f32363
--- /dev/null
+++ b/tictac/.cache/f9bbf03f62ec1aa5b79715f68da33946.json
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new file mode 100644
index 00000000..bfafb95c
--- /dev/null
+++ b/tictac/.cache/fa41240d0591875644245b24e36b4705.json
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limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  Mont.prototype.convertFrom = function convertFrom (num) {\n    var r = this.imod(num.mul(this.rinv));\n    r.red = null;\n    return r;\n  };\n\n  Mont.prototype.imul = function imul (a, b) {\n    if (a.isZero() || b.isZero()) {\n      a.words[0] = 0;\n      a.length = 1;\n      return a;\n    }\n\n    var t = a.imul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.mul = function mul (a, b) {\n    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);\n\n    var t = a.mul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if 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exports.BN = BN;\n  }\n\n  BN.BN = BN;\n  BN.wordSize = 26;\n\n  var Buffer;\n  try {\n    Buffer = require('buffer').Buffer;\n  } catch (e) {\n  }\n\n  BN.isBN = function isBN (num) {\n    if (num instanceof BN) {\n      return true;\n    }\n\n    return num !== null && typeof num === 'object' &&\n      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);\n  };\n\n  BN.max = function max (left, right) {\n    if (left.cmp(right) > 0) return left;\n    return right;\n  };\n\n  BN.min = function min (left, right) {\n    if (left.cmp(right) < 0) return left;\n    return right;\n  };\n\n  BN.prototype._init = function init (number, base, endian) {\n    if (typeof number === 'number') {\n      return this._initNumber(number, base, endian);\n    }\n\n    if (typeof number === 'object') {\n      return this._initArray(number, base, endian);\n    }\n\n    if (base === 'hex') {\n      base = 16;\n    }\n    assert(base === (base | 0) && base >= 2 && base <= 36);\n\n    number = number.toString().replace(/\\s+/g, '');\n    var start = 0;\n    if (number[0] === '-') {\n      start++;\n    }\n\n    if (base === 16) {\n      this._parseHex(number, start);\n    } else {\n      this._parseBase(number, base, start);\n    }\n\n    if (number[0] === '-') {\n      this.negative = 1;\n    }\n\n    this.strip();\n\n    if (endian !== 'le') return;\n\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initNumber = function _initNumber (number, base, endian) {\n    if (number < 0) {\n      this.negative = 1;\n      number = -number;\n    }\n    if (number < 0x4000000) {\n      this.words = [ number & 0x3ffffff ];\n      this.length = 1;\n    } else if (number < 0x10000000000000) {\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff\n      ];\n      this.length = 2;\n    } else {\n      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff,\n        1\n      ];\n      this.length = 3;\n    }\n\n    if (endian !== 'le') return;\n\n    // Reverse the bytes\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initArray = function _initArray (number, base, endian) {\n    // Perhaps a Uint8Array\n    assert(typeof number.length === 'number');\n    if (number.length <= 0) {\n      this.words = [ 0 ];\n      this.length = 1;\n      return this;\n    }\n\n    this.length = Math.ceil(number.length / 3);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    var off = 0;\n    if (endian === 'be') {\n      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {\n        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    } else if (endian === 'le') {\n      for (i = 0, j = 0; i < number.length; i += 3) {\n        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    }\n    return this.strip();\n  };\n\n  function parseHex (str, start, end) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r <<= 4;\n\n      // 'a' - 'f'\n      if (c >= 49 && c <= 54) {\n        r |= c - 49 + 0xa;\n\n      // 'A' - 'F'\n      } else if (c >= 17 && c <= 22) {\n        r |= c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r |= c & 0xf;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseHex = function _parseHex (number, start) {\n    // Create possibly bigger array to ensure that it fits the number\n    this.length = Math.ceil((number.length - start) / 6);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    // Scan 24-bit chunks and add them to the number\n    var off = 0;\n    for (i = number.length - 6, j = 0; i >= start; i -= 6) {\n      w = parseHex(number, i, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n      off += 24;\n      if (off >= 26) {\n        off -= 26;\n        j++;\n      }\n    }\n    if (i + 6 !== start) {\n      w = parseHex(number, start, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n    }\n    this.strip();\n  };\n\n  function parseBase (str, start, end, mul) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r *= mul;\n\n      // 'a'\n      if (c >= 49) {\n        r += c - 49 + 0xa;\n\n      // 'A'\n      } else if (c >= 17) {\n        r += c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r += c;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseBase = function _parseBase (number, base, start) {\n    // Initialize as zero\n    this.words = [ 0 ];\n    this.length = 1;\n\n    // Find length of limb in base\n    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  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diff --git a/tictac/.cache/fd6f45c37e62ab135342d6b366462767.json b/tictac/.cache/fd6f45c37e62ab135342d6b366462767.json
new file mode 100644
index 00000000..85a8d865
--- /dev/null
+++ b/tictac/.cache/fd6f45c37e62ab135342d6b366462767.json
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diff --git a/tictac/.cache/fddf02ccde2cd1d4abad0cd035ab7bd5.json b/tictac/.cache/fddf02ccde2cd1d4abad0cd035ab7bd5.json
new file mode 100644
index 00000000..cdc0760c
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this.x.redAdd(this.z);\n  // AA = A^2\n  var aa = a.redSqr();\n  // B = X1 - Z1\n  var b = this.x.redSub(this.z);\n  // BB = B^2\n  var bb = b.redSqr();\n  // C = AA - BB\n  var c = aa.redSub(bb);\n  // X3 = AA * BB\n  var nx = aa.redMul(bb);\n  // Z3 = C * (BB + A24 * C)\n  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.add = function add() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.diffAdd = function diffAdd(p, diff) {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3\n  // 4M + 2S + 6A\n\n  // A = X2 + Z2\n  var a = this.x.redAdd(this.z);\n  // B = X2 - Z2\n  var b = this.x.redSub(this.z);\n  // C = X3 + Z3\n  var c = p.x.redAdd(p.z);\n  // D = X3 - Z3\n  var d = p.x.redSub(p.z);\n  // DA = D * A\n  var da = d.redMul(a);\n  // CB = C * B\n  var cb = c.redMul(b);\n  // X5 = Z1 * (DA + CB)^2\n  var nx = diff.z.redMul(da.redAdd(cb).redSqr());\n  // 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strict';\n\nvar curve = require('../curve');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\n\nfunction MontCurve(conf) {\n  Base.call(this, 'mont', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.i4 = new BN(4).toRed(this.red).redInvm();\n  this.two = new BN(2).toRed(this.red);\n  this.a24 = this.i4.redMul(this.a.redAdd(this.two));\n}\ninherits(MontCurve, Base);\nmodule.exports = MontCurve;\n\nMontCurve.prototype.validate = function validate(point) {\n  var x = point.normalize().x;\n  var x2 = x.redSqr();\n  var rhs = x2.redMul(x).redAdd(x2.redMul(this.a)).redAdd(x);\n  var y = rhs.redSqrt();\n\n  return y.redSqr().cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, z) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && z === null) {\n    this.x = this.curve.one;\n    this.z = this.curve.zero;\n  } else {\n    this.x = new BN(x, 16);\n    this.z = new BN(z, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n  }\n}\ninherits(Point, Base.BasePoint);\n\nMontCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  return this.point(utils.toArray(bytes, enc), 1);\n};\n\nMontCurve.prototype.point = function point(x, z) {\n  return new Point(this, x, z);\n};\n\nMontCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nPoint.prototype.precompute = function precompute() {\n  // No-op\n};\n\nPoint.prototype._encode = function _encode() {\n  return this.getX().toArray('be', this.curve.p.byteLength());\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1] || curve.one);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n\nPoint.prototype.dbl = function dbl() {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#doubling-dbl-1987-m-3\n  // 2M + 2S + 4A\n\n  // A = X1 + Z1\n  var a = this.x.redAdd(this.z);\n  // AA = A^2\n  var aa = a.redSqr();\n  // B = X1 - Z1\n  var b = this.x.redSub(this.z);\n  // BB = B^2\n  var bb = b.redSqr();\n  // C = AA - BB\n  var c = aa.redSub(bb);\n  // X3 = AA * BB\n  var nx = aa.redMul(bb);\n  // Z3 = C * (BB + A24 * C)\n  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.add = function add() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.diffAdd = function diffAdd(p, diff) {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3\n  // 4M + 2S + 6A\n\n  // A = X2 + Z2\n  var a = this.x.redAdd(this.z);\n  // B = X2 - Z2\n  var b = this.x.redSub(this.z);\n  // C = X3 + Z3\n  var c = p.x.redAdd(p.z);\n  // D = X3 - Z3\n  var d = p.x.redSub(p.z);\n  // DA = D * A\n  var da = d.redMul(a);\n  // CB = C * B\n  var cb = c.redMul(b);\n  // X5 = Z1 * (DA + CB)^2\n  var nx = diff.z.redMul(da.redAdd(cb).redSqr());\n  // Z5 = X1 * (DA - CB)^2\n  var nz = diff.x.redMul(da.redISub(cb).redSqr());\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.mul = function mul(k) {\n  var t = k.clone();\n  var a = this; // (N / 2) * Q + Q\n  var b = this.curve.point(null, null); // (N / 2) * Q\n  var c = this; // Q\n\n  for (var bits = []; t.cmpn(0) !== 0; t.iushrn(1))\n    bits.push(t.andln(1));\n\n  for (var i = bits.length - 1; i >= 0; i--) {\n    if (bits[i] === 0) {\n      // N * Q + Q = ((N / 2) * Q + Q)) + (N / 2) * Q\n      a = a.diffAdd(b, c);\n      // N * Q = 2 * ((N / 2) * Q + Q))\n      b = b.dbl();\n    } else {\n      // N * Q = ((N / 2) * Q + Q) + ((N / 2) * Q)\n      b = a.diffAdd(b, c);\n      // N * Q + Q = 2 * ((N / 2) * Q + Q)\n      a = a.dbl();\n    }\n  }\n  return b;\n};\n\nPoint.prototype.mulAdd = function mulAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.jumlAdd = function jumlAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this.getX().cmp(other.getX()) === 0;\n};\n\nPoint.prototype.normalize = function normalize() {\n  this.x = this.x.redMul(this.z.redInvm());\n  this.z = this.curve.one;\n  return this;\n};\n\nPoint.prototype.getX = function getX() {\n  // Normalize coordinates\n  this.normalize();\n\n  return this.x.fromRed();\n};\n"},"lineCount":181}},"hash":"77730b4ce58902680ab99830c4f58fee","cacheData":{"env":{}}}
\ No newline at end of file
diff --git a/tictac/backend.js b/tictac/backend.js
new file mode 100644
index 00000000..0dfbecc5
--- /dev/null
+++ b/tictac/backend.js
@@ -0,0 +1,267 @@
+import * as tf from '@tensorflow/tfjs';
+
+console.log("HELLO I AM HERE");
+
+const model = tf.loadModel('tfjs/model.json');  
+var x = "/krestik.gif";
+var o = "/nolik.gif";
+var blank = "/blank.jpg";
+var pause = 0;
+var all = 0;
+var a = 0;
+var b = 0;
+var c = 0;
+var d = 0;
+var e = 0;
+var f = 0;
+var g = 0;
+var h = 0;
+var i = 0;  
+var temp="";
+var ok = 0;
+var cf = 0;
+var choice=9;
+var aRandomNumber = 0;
+var comp = 0; 
+var t = 0;
+var wn = 0;
+var ls = 0;
+var ts = 0;
+function logicOne() {
+  if ((a==1)&&(b==1)&&(c==1)) all=1;
+  if ((a==1)&&(d==1)&&(g==1)) all=1;
+  if ((a==1)&&(e==1)&&(i==1)) all=1;
+  if ((b==1)&&(e==1)&&(h==1)) all=1;
+  if ((d==1)&&(e==1)&&(f==1)) all=1;
+  if ((g==1)&&(h==1)&&(i==1)) all=1;
+  if ((c==1)&&(f==1)&&(i==1)) all=1;
+  if ((g==1)&&(e==1)&&(c==1)) all=1;
+  if ((a==2)&&(b==2)&&(c==2)) all=2;
+  if ((a==2)&&(d==2)&&(g==2)) all=2;
+  if ((a==2)&&(e==2)&&(i==2)) all=2;
+  if ((b==2)&&(e==2)&&(h==2)) all=2;
+  if ((d==2)&&(e==2)&&(f==2)) all=2;
+  if ((g==2)&&(h==2)&&(i==2)) all=2;
+  if ((c==2)&&(f==2)&&(i==2)) all=2;
+  if ((g==2)&&(e==2)&&(c==2)) all=2;
+  if ((a != 0)&&(b != 0)&&(c != 0)&&(d != 0)&&(e != 0)&&(f != 0)&&(g != 0)&&(h != 0)&&(i != 0)&&(all == 0)) all = 3;
+} 
+function logicTwo() {
+  if ((a==2)&&(b==2)&&(c== 0)&&(temp=="")) temp="C";
+  if ((a==2)&&(b== 0)&&(c==2)&&(temp=="")) temp="B";
+  if ((a== 0)&&(b==2)&&(c==2)&&(temp=="")) temp="A";
+  if ((a==2)&&(d==2)&&(g== 0)&&(temp=="")) temp="G";
+  if ((a==2)&&(d== 0)&&(g==2)&&(temp=="")) temp="D";
+  if ((a== 0)&&(d==2)&&(g==2)&&(temp=="")) temp="A";
+  if ((a==2)&&(e==2)&&(i== 0)&&(temp=="")) temp="I";
+  if ((a==2)&&(e== 0)&&(i==2)&&(temp=="")) temp="E";
+  if ((a== 0)&&(e==2)&&(i==2)&&(temp=="")) temp="A";
+  if ((b==2)&&(e==2)&&(h== 0)&&(temp=="")) temp="H";
+  if ((b==2)&&(e== 0)&&(h==2)&&(temp=="")) temp="E";
+  if ((b== 0)&&(e==2)&&(h==2)&&(temp=="")) temp="B";
+  if ((d==2)&&(e==2)&&(f== 0)&&(temp=="")) temp="F";
+  if ((d==2)&&(e== 0)&&(f==2)&&(temp=="")) temp="E";
+  if ((d== 0)&&(e==2)&&(f==2)&&(temp=="")) temp="D";
+  if ((g==2)&&(h==2)&&(i== 0)&&(temp=="")) temp="I";
+  if ((g==2)&&(h== 0)&&(i==2)&&(temp=="")) temp="H";
+  if ((g== 0)&&(h==2)&&(i==2)&&(temp=="")) temp="G";
+  if ((c==2)&&(f==2)&&(i== 0)&&(temp=="")) temp="I";
+  if ((c==2)&&(f== 0)&&(i==2)&&(temp=="")) temp="F";
+  if ((c== 0)&&(f==2)&&(i==2)&&(temp=="")) temp="C";
+  if ((g==2)&&(e==2)&&(c== 0)&&(temp=="")) temp="C";
+  if ((g==2)&&(e== 0)&&(c==2)&&(temp=="")) temp="E";
+  if ((g== 0)&&(e==2)&&(c==2)&&(temp=="")) temp="G";
+}
+function logicThree() {
+  if ((a==1)&&(b==1)&&(c==0)&&(temp=="")) temp="C";
+  if ((a==1)&&(b==0)&&(c==1)&&(temp=="")) temp="B";
+  if ((a==0)&&(b==1)&&(c==1)&&(temp=="")) temp="A";
+  if ((a==1)&&(d==1)&&(g==0)&&(temp=="")) temp="G";
+  if ((a==1)&&(d==0)&&(g==1)&&(temp=="")) temp="D";
+  if ((a==0)&&(d==1)&&(g==1)&&(temp=="")) temp="A";
+  if ((a==1)&&(e==1)&&(i==0)&&(temp=="")) temp="I";
+  if ((a==1)&&(e==0)&&(i==1)&&(temp=="")) temp="E";
+  if ((a==0)&&(e==1)&&(i==1)&&(temp=="")) temp="A";
+  if ((b==1)&&(e==1)&&(h==0)&&(temp=="")) temp="H";
+  if ((b==1)&&(e==0)&&(h==1)&&(temp=="")) temp="E";
+  if ((b==0)&&(e==1)&&(h==1)&&(temp=="")) temp="B";
+  if ((d==1)&&(e==1)&&(f==0)&&(temp=="")) temp="F";
+  if ((d==1)&&(e==0)&&(f==1)&&(temp=="")) temp="E";
+  if ((d==0)&&(e==1)&&(f==1)&&(temp=="")) temp="D";
+  if ((g==1)&&(h==1)&&(i==0)&&(temp=="")) temp="I";
+  if ((g==1)&&(h==0)&&(i==1)&&(temp=="")) temp="H";
+  if ((g==0)&&(h==1)&&(i==1)&&(temp=="")) temp="G";
+  if ((c==1)&&(f==1)&&(i==0)&&(temp=="")) temp="I";
+  if ((c==1)&&(f==0)&&(i==1)&&(temp=="")) temp="F";
+  if ((c==0)&&(f==1)&&(i==1)&&(temp=="")) temp="C";
+  if ((g==1)&&(e==1)&&(c==0)&&(temp=="")) temp="C";
+  if ((g==1)&&(e==0)&&(c==1)&&(temp=="")) temp="E";
+  if ((g==0)&&(e==1)&&(c==1)&&(temp=="")) temp="G";
+}
+function clearOut() {
+  document.game.you.value="0";
+  document.game.computer.value="0";
+  document.game.ties.value="0";
+}
+function checkSpace() {
+  if ((temp=="A")&&(a==0)) {
+    ok=1;
+    if (cf==0) a=1;
+    if (cf==1) a=2;
+  }
+  if ((temp=="B")&&(b==0)) {
+    ok=1;
+    if (cf==0) b=1;
+    if (cf==1) b=2;
+  }
+  if ((temp=="C")&&(c==0)) {
+    ok=1;
+    if (cf==0) c=1;
+    if (cf==1) c=2;
+  }
+  if ((temp=="D")&&(d==0)) {
+    ok=1;
+    if (cf==0) d=1;
+    if (cf==1) d=2;
+  }
+  if ((temp=="E")&&(e==0)) {
+    ok=1;
+    if (cf==0) e=1;
+    if (cf==1) e=2;
+  }
+  if ((temp=="F")&&(f==0)) {
+    ok=1
+    if (cf==0) f=1;
+    if (cf==1) f=2;
+  }
+  if ((temp=="G")&&(g==0)) {
+    ok=1
+    if (cf==0) g=1;
+    if (cf==1) g=2;
+  }
+  if ((temp=="H")&&(h==0)) {
+    ok=1;
+    if (cf==0) h=1;
+    if (cf==1) h=2;
+  }
+  if ((temp=="I")&&(i==0)) {
+    ok=1;
+    if (cf==0) i=1; 
+    if (cf==1) i=2; 
+  }
+}
+function yourChoice(chName) {
+  pause = 0;
+  if (all!=0) ended();
+  if (all==0) {
+    cf = 0;
+    ok = 0;
+    temp=chName;
+    checkSpace();
+    if (ok==1) {
+      document.images[chName].src = x;
+    }
+    if (ok==0)taken();
+    process();
+    if ((all==0)&&(pause==0)) myChoice();
+  }
+}
+function taken() {
+  alert("This cell in not empty! Try another")
+  pause=1;
+}
+function myChoice() {
+  temp="";
+  ok = 0;
+  cf=1;
+  logicTwo();
+  logicThree();
+  checkSpace();
+  while(ok==0) {
+    aRandomNumber=Math.random()
+    comp=Math.round((choice-1)*aRandomNumber)+1;
+    if (comp==1) temp="A";
+    if (comp==2) temp="B";
+    if (comp==3) temp="C";
+    if (comp==4) temp="D";
+    if (comp==5) temp="E";
+    if (comp==6) temp="F";
+    if (comp==7) temp="G";
+    if (comp==8) temp="H";
+    if (comp==9) temp="I";
+    checkSpace();
+  }
+  document.images[temp].src= o;
+  process();
+}
+function ended() {
+  alert("Game over! To play once more press a button 'New Game'")
+}
+function process() {
+  logicOne();
+  if (all==1){ alert("You win!"); wn++; }
+  if (all==2){ alert("You lose!"); ls++; }
+  if (all==3){ alert("Draw!"); ts++; }
+  if (all!=0) {
+    document.game.you.value = wn;
+    document.game.computer.value = ls;
+    document.game.ties.value = ts;
+  }
+}
+function playAgain() {
+  if (all==0) {
+    if(confirm("Âû óâåðåíû ?")) reset();
+  }
+  if (all>0) reset();
+}
+function reset() {
+  all = 0;
+  a = 0;
+  b = 0;
+  c = 0;
+  d = 0;
+  e = 0;
+  f = 0;
+  g = 0;
+  h = 0;
+  i = 0;
+  temp="";
+  ok = 0;
+  cf = 0;
+  choice=9;
+  aRandomNumber = 0;
+  comp = 0;
+  document.images.A.src= blank;
+  document.images.B.src= blank;
+  document.images.C.src= blank;
+  document.images.D.src= blank;
+  document.images.E.src= blank;
+  document.images.F.src= blank;
+  document.images.G.src= blank;
+  document.images.H.src= blank;
+  document.images.I.src= blank;
+  if (t==0) { t=2; myChoice(); }
+  t--;
+}
+var ie4 = (document.all) ? true : false;
+var nn4 = (document.layers) ? true : false;
+
+document.getElementById("A").onclick = function() {yourChoice('A')};
+document.getElementById("B").onclick = function() {yourChoice('B')};
+document.getElementById("C").onclick = function() {yourChoice('C')};
+document.getElementById("D").onclick = function() {yourChoice('D')};
+document.getElementById("E").onclick = function() {yourChoice('E')};
+document.getElementById("F").onclick = function() {yourChoice('F')};
+document.getElementById("G").onclick = function() {yourChoice('G')};
+document.getElementById("H").onclick = function() {yourChoice('H')};
+document.getElementById("I").onclick = function() {yourChoice('I')};
+document.getElementById("button").onclick = function() {playAgain()};
+
+// async function setupMnistTransferCNN() {
+//   const button = document.getElementById('load-pretrained-remote');
+//   button.addEventListener('click', async () => {
+//       yourChoice('A')
+//   });
+// }
+
+// setupMnistTransferCNN();
\ No newline at end of file
diff --git a/tictac/blank.jpg b/tictac/blank.jpg
new file mode 100644
index 00000000..ef31a61d
Binary files /dev/null and b/tictac/blank.jpg differ
diff --git a/tictac/dist/backend.9717565c.js b/tictac/dist/backend.9717565c.js
new file mode 100644
index 00000000..93ebdd69
--- /dev/null
+++ b/tictac/dist/backend.9717565c.js
@@ -0,0 +1,42263 @@
+// modules are defined as an array
+// [ module function, map of requires ]
+//
+// map of requires is short require name -> numeric require
+//
+// anything defined in a previous bundle is accessed via the
+// orig method which is the require for previous bundles
+
+// eslint-disable-next-line no-global-assign
+parcelRequire = (function (modules, cache, entry, globalName) {
+  // Save the require from previous bundle to this closure if any
+  var previousRequire = typeof parcelRequire === 'function' && parcelRequire;
+  var nodeRequire = typeof require === 'function' && require;
+
+  function newRequire(name, jumped) {
+    if (!cache[name]) {
+      if (!modules[name]) {
+        // if we cannot find the module within our internal map or
+        // cache jump to the current global require ie. the last bundle
+        // that was added to the page.
+        var currentRequire = typeof parcelRequire === 'function' && parcelRequire;
+        if (!jumped && currentRequire) {
+          return currentRequire(name, true);
+        }
+
+        // If there are other bundles on this page the require from the
+        // previous one is saved to 'previousRequire'. Repeat this as
+        // many times as there are bundles until the module is found or
+        // we exhaust the require chain.
+        if (previousRequire) {
+          return previousRequire(name, true);
+        }
+
+        // Try the node require function if it exists.
+        if (nodeRequire && typeof name === 'string') {
+          return nodeRequire(name);
+        }
+
+        var err = new Error('Cannot find module \'' + name + '\'');
+        err.code = 'MODULE_NOT_FOUND';
+        throw err;
+      }
+
+      localRequire.resolve = resolve;
+
+      var module = cache[name] = new newRequire.Module(name);
+
+      modules[name][0].call(module.exports, localRequire, module, module.exports, this);
+    }
+
+    return cache[name].exports;
+
+    function localRequire(x){
+      return newRequire(localRequire.resolve(x));
+    }
+
+    function resolve(x){
+      return modules[name][1][x] || x;
+    }
+  }
+
+  function Module(moduleName) {
+    this.id = moduleName;
+    this.bundle = newRequire;
+    this.exports = {};
+  }
+
+  newRequire.isParcelRequire = true;
+  newRequire.Module = Module;
+  newRequire.modules = modules;
+  newRequire.cache = cache;
+  newRequire.parent = previousRequire;
+
+  for (var i = 0; i < entry.length; i++) {
+    newRequire(entry[i]);
+  }
+
+  if (entry.length) {
+    // Expose entry point to Node, AMD or browser globals
+    // Based on https://github.com/ForbesLindesay/umd/blob/master/template.js
+    var mainExports = newRequire(entry[entry.length - 1]);
+
+    // CommonJS
+    if (typeof exports === "object" && typeof module !== "undefined") {
+      module.exports = mainExports;
+
+    // RequireJS
+    } else if (typeof define === "function" && define.amd) {
+     define(function () {
+       return mainExports;
+     });
+
+    // <script>
+    } else if (globalName) {
+      this[globalName] = mainExports;
+    }
+  }
+
+  // Override the current require with this new one
+  return newRequire;
+})({70:[function(require,module,exports) {
+'use strict'
+
+exports.byteLength = byteLength
+exports.toByteArray = toByteArray
+exports.fromByteArray = fromByteArray
+
+var lookup = []
+var revLookup = []
+var Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array
+
+var code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
+for (var i = 0, len = code.length; i < len; ++i) {
+  lookup[i] = code[i]
+  revLookup[code.charCodeAt(i)] = i
+}
+
+// Support decoding URL-safe base64 strings, as Node.js does.
+// See: https://en.wikipedia.org/wiki/Base64#URL_applications
+revLookup['-'.charCodeAt(0)] = 62
+revLookup['_'.charCodeAt(0)] = 63
+
+function getLens (b64) {
+  var len = b64.length
+
+  if (len % 4 > 0) {
+    throw new Error('Invalid string. Length must be a multiple of 4')
+  }
+
+  // Trim off extra bytes after placeholder bytes are found
+  // See: https://github.com/beatgammit/base64-js/issues/42
+  var validLen = b64.indexOf('=')
+  if (validLen === -1) validLen = len
+
+  var placeHoldersLen = validLen === len
+    ? 0
+    : 4 - (validLen % 4)
+
+  return [validLen, placeHoldersLen]
+}
+
+// base64 is 4/3 + up to two characters of the original data
+function byteLength (b64) {
+  var lens = getLens(b64)
+  var validLen = lens[0]
+  var placeHoldersLen = lens[1]
+  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen
+}
+
+function _byteLength (b64, validLen, placeHoldersLen) {
+  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen
+}
+
+function toByteArray (b64) {
+  var tmp
+  var lens = getLens(b64)
+  var validLen = lens[0]
+  var placeHoldersLen = lens[1]
+
+  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))
+
+  var curByte = 0
+
+  // if there are placeholders, only get up to the last complete 4 chars
+  var len = placeHoldersLen > 0
+    ? validLen - 4
+    : validLen
+
+  for (var i = 0; i < len; i += 4) {
+    tmp =
+      (revLookup[b64.charCodeAt(i)] << 18) |
+      (revLookup[b64.charCodeAt(i + 1)] << 12) |
+      (revLookup[b64.charCodeAt(i + 2)] << 6) |
+      revLookup[b64.charCodeAt(i + 3)]
+    arr[curByte++] = (tmp >> 16) & 0xFF
+    arr[curByte++] = (tmp >> 8) & 0xFF
+    arr[curByte++] = tmp & 0xFF
+  }
+
+  if (placeHoldersLen === 2) {
+    tmp =
+      (revLookup[b64.charCodeAt(i)] << 2) |
+      (revLookup[b64.charCodeAt(i + 1)] >> 4)
+    arr[curByte++] = tmp & 0xFF
+  }
+
+  if (placeHoldersLen === 1) {
+    tmp =
+      (revLookup[b64.charCodeAt(i)] << 10) |
+      (revLookup[b64.charCodeAt(i + 1)] << 4) |
+      (revLookup[b64.charCodeAt(i + 2)] >> 2)
+    arr[curByte++] = (tmp >> 8) & 0xFF
+    arr[curByte++] = tmp & 0xFF
+  }
+
+  return arr
+}
+
+function tripletToBase64 (num) {
+  return lookup[num >> 18 & 0x3F] +
+    lookup[num >> 12 & 0x3F] +
+    lookup[num >> 6 & 0x3F] +
+    lookup[num & 0x3F]
+}
+
+function encodeChunk (uint8, start, end) {
+  var tmp
+  var output = []
+  for (var i = start; i < end; i += 3) {
+    tmp =
+      ((uint8[i] << 16) & 0xFF0000) +
+      ((uint8[i + 1] << 8) & 0xFF00) +
+      (uint8[i + 2] & 0xFF)
+    output.push(tripletToBase64(tmp))
+  }
+  return output.join('')
+}
+
+function fromByteArray (uint8) {
+  var tmp
+  var len = uint8.length
+  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes
+  var parts = []
+  var maxChunkLength = 16383 // must be multiple of 3
+
+  // go through the array every three bytes, we'll deal with trailing stuff later
+  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {
+    parts.push(encodeChunk(
+      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)
+    ))
+  }
+
+  // pad the end with zeros, but make sure to not forget the extra bytes
+  if (extraBytes === 1) {
+    tmp = uint8[len - 1]
+    parts.push(
+      lookup[tmp >> 2] +
+      lookup[(tmp << 4) & 0x3F] +
+      '=='
+    )
+  } else if (extraBytes === 2) {
+    tmp = (uint8[len - 2] << 8) + uint8[len - 1]
+    parts.push(
+      lookup[tmp >> 10] +
+      lookup[(tmp >> 4) & 0x3F] +
+      lookup[(tmp << 2) & 0x3F] +
+      '='
+    )
+  }
+
+  return parts.join('')
+}
+
+},{}],71:[function(require,module,exports) {
+exports.read = function (buffer, offset, isLE, mLen, nBytes) {
+  var e, m
+  var eLen = (nBytes * 8) - mLen - 1
+  var eMax = (1 << eLen) - 1
+  var eBias = eMax >> 1
+  var nBits = -7
+  var i = isLE ? (nBytes - 1) : 0
+  var d = isLE ? -1 : 1
+  var s = buffer[offset + i]
+
+  i += d
+
+  e = s & ((1 << (-nBits)) - 1)
+  s >>= (-nBits)
+  nBits += eLen
+  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}
+
+  m = e & ((1 << (-nBits)) - 1)
+  e >>= (-nBits)
+  nBits += mLen
+  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}
+
+  if (e === 0) {
+    e = 1 - eBias
+  } else if (e === eMax) {
+    return m ? NaN : ((s ? -1 : 1) * Infinity)
+  } else {
+    m = m + Math.pow(2, mLen)
+    e = e - eBias
+  }
+  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)
+}
+
+exports.write = function (buffer, value, offset, isLE, mLen, nBytes) {
+  var e, m, c
+  var eLen = (nBytes * 8) - mLen - 1
+  var eMax = (1 << eLen) - 1
+  var eBias = eMax >> 1
+  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)
+  var i = isLE ? 0 : (nBytes - 1)
+  var d = isLE ? 1 : -1
+  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0
+
+  value = Math.abs(value)
+
+  if (isNaN(value) || value === Infinity) {
+    m = isNaN(value) ? 1 : 0
+    e = eMax
+  } else {
+    e = Math.floor(Math.log(value) / Math.LN2)
+    if (value * (c = Math.pow(2, -e)) < 1) {
+      e--
+      c *= 2
+    }
+    if (e + eBias >= 1) {
+      value += rt / c
+    } else {
+      value += rt * Math.pow(2, 1 - eBias)
+    }
+    if (value * c >= 2) {
+      e++
+      c /= 2
+    }
+
+    if (e + eBias >= eMax) {
+      m = 0
+      e = eMax
+    } else if (e + eBias >= 1) {
+      m = ((value * c) - 1) * Math.pow(2, mLen)
+      e = e + eBias
+    } else {
+      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)
+      e = 0
+    }
+  }
+
+  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}
+
+  e = (e << mLen) | m
+  eLen += mLen
+  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}
+
+  buffer[offset + i - d] |= s * 128
+}
+
+},{}],72:[function(require,module,exports) {
+var toString = {}.toString;
+
+module.exports = Array.isArray || function (arr) {
+  return toString.call(arr) == '[object Array]';
+};
+
+},{}],62:[function(require,module,exports) {
+
+var global = arguments[3];
+/*!
+ * The buffer module from node.js, for the browser.
+ *
+ * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>
+ * @license  MIT
+ */
+/* eslint-disable no-proto */
+
+'use strict'
+
+var base64 = require('base64-js')
+var ieee754 = require('ieee754')
+var isArray = require('isarray')
+
+exports.Buffer = Buffer
+exports.SlowBuffer = SlowBuffer
+exports.INSPECT_MAX_BYTES = 50
+
+/**
+ * If `Buffer.TYPED_ARRAY_SUPPORT`:
+ *   === true    Use Uint8Array implementation (fastest)
+ *   === false   Use Object implementation (most compatible, even IE6)
+ *
+ * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,
+ * Opera 11.6+, iOS 4.2+.
+ *
+ * Due to various browser bugs, sometimes the Object implementation will be used even
+ * when the browser supports typed arrays.
+ *
+ * Note:
+ *
+ *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,
+ *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.
+ *
+ *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.
+ *
+ *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of
+ *     incorrect length in some situations.
+
+ * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they
+ * get the Object implementation, which is slower but behaves correctly.
+ */
+Buffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined
+  ? global.TYPED_ARRAY_SUPPORT
+  : typedArraySupport()
+
+/*
+ * Export kMaxLength after typed array support is determined.
+ */
+exports.kMaxLength = kMaxLength()
+
+function typedArraySupport () {
+  try {
+    var arr = new Uint8Array(1)
+    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}
+    return arr.foo() === 42 && // typed array instances can be augmented
+        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`
+        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`
+  } catch (e) {
+    return false
+  }
+}
+
+function kMaxLength () {
+  return Buffer.TYPED_ARRAY_SUPPORT
+    ? 0x7fffffff
+    : 0x3fffffff
+}
+
+function createBuffer (that, length) {
+  if (kMaxLength() < length) {
+    throw new RangeError('Invalid typed array length')
+  }
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    // Return an augmented `Uint8Array` instance, for best performance
+    that = new Uint8Array(length)
+    that.__proto__ = Buffer.prototype
+  } else {
+    // Fallback: Return an object instance of the Buffer class
+    if (that === null) {
+      that = new Buffer(length)
+    }
+    that.length = length
+  }
+
+  return that
+}
+
+/**
+ * The Buffer constructor returns instances of `Uint8Array` that have their
+ * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of
+ * `Uint8Array`, so the returned instances will have all the node `Buffer` methods
+ * and the `Uint8Array` methods. Square bracket notation works as expected -- it
+ * returns a single octet.
+ *
+ * The `Uint8Array` prototype remains unmodified.
+ */
+
+function Buffer (arg, encodingOrOffset, length) {
+  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {
+    return new Buffer(arg, encodingOrOffset, length)
+  }
+
+  // Common case.
+  if (typeof arg === 'number') {
+    if (typeof encodingOrOffset === 'string') {
+      throw new Error(
+        'If encoding is specified then the first argument must be a string'
+      )
+    }
+    return allocUnsafe(this, arg)
+  }
+  return from(this, arg, encodingOrOffset, length)
+}
+
+Buffer.poolSize = 8192 // not used by this implementation
+
+// TODO: Legacy, not needed anymore. Remove in next major version.
+Buffer._augment = function (arr) {
+  arr.__proto__ = Buffer.prototype
+  return arr
+}
+
+function from (that, value, encodingOrOffset, length) {
+  if (typeof value === 'number') {
+    throw new TypeError('"value" argument must not be a number')
+  }
+
+  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {
+    return fromArrayBuffer(that, value, encodingOrOffset, length)
+  }
+
+  if (typeof value === 'string') {
+    return fromString(that, value, encodingOrOffset)
+  }
+
+  return fromObject(that, value)
+}
+
+/**
+ * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError
+ * if value is a number.
+ * Buffer.from(str[, encoding])
+ * Buffer.from(array)
+ * Buffer.from(buffer)
+ * Buffer.from(arrayBuffer[, byteOffset[, length]])
+ **/
+Buffer.from = function (value, encodingOrOffset, length) {
+  return from(null, value, encodingOrOffset, length)
+}
+
+if (Buffer.TYPED_ARRAY_SUPPORT) {
+  Buffer.prototype.__proto__ = Uint8Array.prototype
+  Buffer.__proto__ = Uint8Array
+  if (typeof Symbol !== 'undefined' && Symbol.species &&
+      Buffer[Symbol.species] === Buffer) {
+    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97
+    Object.defineProperty(Buffer, Symbol.species, {
+      value: null,
+      configurable: true
+    })
+  }
+}
+
+function assertSize (size) {
+  if (typeof size !== 'number') {
+    throw new TypeError('"size" argument must be a number')
+  } else if (size < 0) {
+    throw new RangeError('"size" argument must not be negative')
+  }
+}
+
+function alloc (that, size, fill, encoding) {
+  assertSize(size)
+  if (size <= 0) {
+    return createBuffer(that, size)
+  }
+  if (fill !== undefined) {
+    // Only pay attention to encoding if it's a string. This
+    // prevents accidentally sending in a number that would
+    // be interpretted as a start offset.
+    return typeof encoding === 'string'
+      ? createBuffer(that, size).fill(fill, encoding)
+      : createBuffer(that, size).fill(fill)
+  }
+  return createBuffer(that, size)
+}
+
+/**
+ * Creates a new filled Buffer instance.
+ * alloc(size[, fill[, encoding]])
+ **/
+Buffer.alloc = function (size, fill, encoding) {
+  return alloc(null, size, fill, encoding)
+}
+
+function allocUnsafe (that, size) {
+  assertSize(size)
+  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)
+  if (!Buffer.TYPED_ARRAY_SUPPORT) {
+    for (var i = 0; i < size; ++i) {
+      that[i] = 0
+    }
+  }
+  return that
+}
+
+/**
+ * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.
+ * */
+Buffer.allocUnsafe = function (size) {
+  return allocUnsafe(null, size)
+}
+/**
+ * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.
+ */
+Buffer.allocUnsafeSlow = function (size) {
+  return allocUnsafe(null, size)
+}
+
+function fromString (that, string, encoding) {
+  if (typeof encoding !== 'string' || encoding === '') {
+    encoding = 'utf8'
+  }
+
+  if (!Buffer.isEncoding(encoding)) {
+    throw new TypeError('"encoding" must be a valid string encoding')
+  }
+
+  var length = byteLength(string, encoding) | 0
+  that = createBuffer(that, length)
+
+  var actual = that.write(string, encoding)
+
+  if (actual !== length) {
+    // Writing a hex string, for example, that contains invalid characters will
+    // cause everything after the first invalid character to be ignored. (e.g.
+    // 'abxxcd' will be treated as 'ab')
+    that = that.slice(0, actual)
+  }
+
+  return that
+}
+
+function fromArrayLike (that, array) {
+  var length = array.length < 0 ? 0 : checked(array.length) | 0
+  that = createBuffer(that, length)
+  for (var i = 0; i < length; i += 1) {
+    that[i] = array[i] & 255
+  }
+  return that
+}
+
+function fromArrayBuffer (that, array, byteOffset, length) {
+  array.byteLength // this throws if `array` is not a valid ArrayBuffer
+
+  if (byteOffset < 0 || array.byteLength < byteOffset) {
+    throw new RangeError('\'offset\' is out of bounds')
+  }
+
+  if (array.byteLength < byteOffset + (length || 0)) {
+    throw new RangeError('\'length\' is out of bounds')
+  }
+
+  if (byteOffset === undefined && length === undefined) {
+    array = new Uint8Array(array)
+  } else if (length === undefined) {
+    array = new Uint8Array(array, byteOffset)
+  } else {
+    array = new Uint8Array(array, byteOffset, length)
+  }
+
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    // Return an augmented `Uint8Array` instance, for best performance
+    that = array
+    that.__proto__ = Buffer.prototype
+  } else {
+    // Fallback: Return an object instance of the Buffer class
+    that = fromArrayLike(that, array)
+  }
+  return that
+}
+
+function fromObject (that, obj) {
+  if (Buffer.isBuffer(obj)) {
+    var len = checked(obj.length) | 0
+    that = createBuffer(that, len)
+
+    if (that.length === 0) {
+      return that
+    }
+
+    obj.copy(that, 0, 0, len)
+    return that
+  }
+
+  if (obj) {
+    if ((typeof ArrayBuffer !== 'undefined' &&
+        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {
+      if (typeof obj.length !== 'number' || isnan(obj.length)) {
+        return createBuffer(that, 0)
+      }
+      return fromArrayLike(that, obj)
+    }
+
+    if (obj.type === 'Buffer' && isArray(obj.data)) {
+      return fromArrayLike(that, obj.data)
+    }
+  }
+
+  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')
+}
+
+function checked (length) {
+  // Note: cannot use `length < kMaxLength()` here because that fails when
+  // length is NaN (which is otherwise coerced to zero.)
+  if (length >= kMaxLength()) {
+    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +
+                         'size: 0x' + kMaxLength().toString(16) + ' bytes')
+  }
+  return length | 0
+}
+
+function SlowBuffer (length) {
+  if (+length != length) { // eslint-disable-line eqeqeq
+    length = 0
+  }
+  return Buffer.alloc(+length)
+}
+
+Buffer.isBuffer = function isBuffer (b) {
+  return !!(b != null && b._isBuffer)
+}
+
+Buffer.compare = function compare (a, b) {
+  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {
+    throw new TypeError('Arguments must be Buffers')
+  }
+
+  if (a === b) return 0
+
+  var x = a.length
+  var y = b.length
+
+  for (var i = 0, len = Math.min(x, y); i < len; ++i) {
+    if (a[i] !== b[i]) {
+      x = a[i]
+      y = b[i]
+      break
+    }
+  }
+
+  if (x < y) return -1
+  if (y < x) return 1
+  return 0
+}
+
+Buffer.isEncoding = function isEncoding (encoding) {
+  switch (String(encoding).toLowerCase()) {
+    case 'hex':
+    case 'utf8':
+    case 'utf-8':
+    case 'ascii':
+    case 'latin1':
+    case 'binary':
+    case 'base64':
+    case 'ucs2':
+    case 'ucs-2':
+    case 'utf16le':
+    case 'utf-16le':
+      return true
+    default:
+      return false
+  }
+}
+
+Buffer.concat = function concat (list, length) {
+  if (!isArray(list)) {
+    throw new TypeError('"list" argument must be an Array of Buffers')
+  }
+
+  if (list.length === 0) {
+    return Buffer.alloc(0)
+  }
+
+  var i
+  if (length === undefined) {
+    length = 0
+    for (i = 0; i < list.length; ++i) {
+      length += list[i].length
+    }
+  }
+
+  var buffer = Buffer.allocUnsafe(length)
+  var pos = 0
+  for (i = 0; i < list.length; ++i) {
+    var buf = list[i]
+    if (!Buffer.isBuffer(buf)) {
+      throw new TypeError('"list" argument must be an Array of Buffers')
+    }
+    buf.copy(buffer, pos)
+    pos += buf.length
+  }
+  return buffer
+}
+
+function byteLength (string, encoding) {
+  if (Buffer.isBuffer(string)) {
+    return string.length
+  }
+  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&
+      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {
+    return string.byteLength
+  }
+  if (typeof string !== 'string') {
+    string = '' + string
+  }
+
+  var len = string.length
+  if (len === 0) return 0
+
+  // Use a for loop to avoid recursion
+  var loweredCase = false
+  for (;;) {
+    switch (encoding) {
+      case 'ascii':
+      case 'latin1':
+      case 'binary':
+        return len
+      case 'utf8':
+      case 'utf-8':
+      case undefined:
+        return utf8ToBytes(string).length
+      case 'ucs2':
+      case 'ucs-2':
+      case 'utf16le':
+      case 'utf-16le':
+        return len * 2
+      case 'hex':
+        return len >>> 1
+      case 'base64':
+        return base64ToBytes(string).length
+      default:
+        if (loweredCase) return utf8ToBytes(string).length // assume utf8
+        encoding = ('' + encoding).toLowerCase()
+        loweredCase = true
+    }
+  }
+}
+Buffer.byteLength = byteLength
+
+function slowToString (encoding, start, end) {
+  var loweredCase = false
+
+  // No need to verify that "this.length <= MAX_UINT32" since it's a read-only
+  // property of a typed array.
+
+  // This behaves neither like String nor Uint8Array in that we set start/end
+  // to their upper/lower bounds if the value passed is out of range.
+  // undefined is handled specially as per ECMA-262 6th Edition,
+  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.
+  if (start === undefined || start < 0) {
+    start = 0
+  }
+  // Return early if start > this.length. Done here to prevent potential uint32
+  // coercion fail below.
+  if (start > this.length) {
+    return ''
+  }
+
+  if (end === undefined || end > this.length) {
+    end = this.length
+  }
+
+  if (end <= 0) {
+    return ''
+  }
+
+  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.
+  end >>>= 0
+  start >>>= 0
+
+  if (end <= start) {
+    return ''
+  }
+
+  if (!encoding) encoding = 'utf8'
+
+  while (true) {
+    switch (encoding) {
+      case 'hex':
+        return hexSlice(this, start, end)
+
+      case 'utf8':
+      case 'utf-8':
+        return utf8Slice(this, start, end)
+
+      case 'ascii':
+        return asciiSlice(this, start, end)
+
+      case 'latin1':
+      case 'binary':
+        return latin1Slice(this, start, end)
+
+      case 'base64':
+        return base64Slice(this, start, end)
+
+      case 'ucs2':
+      case 'ucs-2':
+      case 'utf16le':
+      case 'utf-16le':
+        return utf16leSlice(this, start, end)
+
+      default:
+        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)
+        encoding = (encoding + '').toLowerCase()
+        loweredCase = true
+    }
+  }
+}
+
+// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect
+// Buffer instances.
+Buffer.prototype._isBuffer = true
+
+function swap (b, n, m) {
+  var i = b[n]
+  b[n] = b[m]
+  b[m] = i
+}
+
+Buffer.prototype.swap16 = function swap16 () {
+  var len = this.length
+  if (len % 2 !== 0) {
+    throw new RangeError('Buffer size must be a multiple of 16-bits')
+  }
+  for (var i = 0; i < len; i += 2) {
+    swap(this, i, i + 1)
+  }
+  return this
+}
+
+Buffer.prototype.swap32 = function swap32 () {
+  var len = this.length
+  if (len % 4 !== 0) {
+    throw new RangeError('Buffer size must be a multiple of 32-bits')
+  }
+  for (var i = 0; i < len; i += 4) {
+    swap(this, i, i + 3)
+    swap(this, i + 1, i + 2)
+  }
+  return this
+}
+
+Buffer.prototype.swap64 = function swap64 () {
+  var len = this.length
+  if (len % 8 !== 0) {
+    throw new RangeError('Buffer size must be a multiple of 64-bits')
+  }
+  for (var i = 0; i < len; i += 8) {
+    swap(this, i, i + 7)
+    swap(this, i + 1, i + 6)
+    swap(this, i + 2, i + 5)
+    swap(this, i + 3, i + 4)
+  }
+  return this
+}
+
+Buffer.prototype.toString = function toString () {
+  var length = this.length | 0
+  if (length === 0) return ''
+  if (arguments.length === 0) return utf8Slice(this, 0, length)
+  return slowToString.apply(this, arguments)
+}
+
+Buffer.prototype.equals = function equals (b) {
+  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')
+  if (this === b) return true
+  return Buffer.compare(this, b) === 0
+}
+
+Buffer.prototype.inspect = function inspect () {
+  var str = ''
+  var max = exports.INSPECT_MAX_BYTES
+  if (this.length > 0) {
+    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')
+    if (this.length > max) str += ' ... '
+  }
+  return '<Buffer ' + str + '>'
+}
+
+Buffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {
+  if (!Buffer.isBuffer(target)) {
+    throw new TypeError('Argument must be a Buffer')
+  }
+
+  if (start === undefined) {
+    start = 0
+  }
+  if (end === undefined) {
+    end = target ? target.length : 0
+  }
+  if (thisStart === undefined) {
+    thisStart = 0
+  }
+  if (thisEnd === undefined) {
+    thisEnd = this.length
+  }
+
+  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {
+    throw new RangeError('out of range index')
+  }
+
+  if (thisStart >= thisEnd && start >= end) {
+    return 0
+  }
+  if (thisStart >= thisEnd) {
+    return -1
+  }
+  if (start >= end) {
+    return 1
+  }
+
+  start >>>= 0
+  end >>>= 0
+  thisStart >>>= 0
+  thisEnd >>>= 0
+
+  if (this === target) return 0
+
+  var x = thisEnd - thisStart
+  var y = end - start
+  var len = Math.min(x, y)
+
+  var thisCopy = this.slice(thisStart, thisEnd)
+  var targetCopy = target.slice(start, end)
+
+  for (var i = 0; i < len; ++i) {
+    if (thisCopy[i] !== targetCopy[i]) {
+      x = thisCopy[i]
+      y = targetCopy[i]
+      break
+    }
+  }
+
+  if (x < y) return -1
+  if (y < x) return 1
+  return 0
+}
+
+// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,
+// OR the last index of `val` in `buffer` at offset <= `byteOffset`.
+//
+// Arguments:
+// - buffer - a Buffer to search
+// - val - a string, Buffer, or number
+// - byteOffset - an index into `buffer`; will be clamped to an int32
+// - encoding - an optional encoding, relevant is val is a string
+// - dir - true for indexOf, false for lastIndexOf
+function bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {
+  // Empty buffer means no match
+  if (buffer.length === 0) return -1
+
+  // Normalize byteOffset
+  if (typeof byteOffset === 'string') {
+    encoding = byteOffset
+    byteOffset = 0
+  } else if (byteOffset > 0x7fffffff) {
+    byteOffset = 0x7fffffff
+  } else if (byteOffset < -0x80000000) {
+    byteOffset = -0x80000000
+  }
+  byteOffset = +byteOffset  // Coerce to Number.
+  if (isNaN(byteOffset)) {
+    // byteOffset: it it's undefined, null, NaN, "foo", etc, search whole buffer
+    byteOffset = dir ? 0 : (buffer.length - 1)
+  }
+
+  // Normalize byteOffset: negative offsets start from the end of the buffer
+  if (byteOffset < 0) byteOffset = buffer.length + byteOffset
+  if (byteOffset >= buffer.length) {
+    if (dir) return -1
+    else byteOffset = buffer.length - 1
+  } else if (byteOffset < 0) {
+    if (dir) byteOffset = 0
+    else return -1
+  }
+
+  // Normalize val
+  if (typeof val === 'string') {
+    val = Buffer.from(val, encoding)
+  }
+
+  // Finally, search either indexOf (if dir is true) or lastIndexOf
+  if (Buffer.isBuffer(val)) {
+    // Special case: looking for empty string/buffer always fails
+    if (val.length === 0) {
+      return -1
+    }
+    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)
+  } else if (typeof val === 'number') {
+    val = val & 0xFF // Search for a byte value [0-255]
+    if (Buffer.TYPED_ARRAY_SUPPORT &&
+        typeof Uint8Array.prototype.indexOf === 'function') {
+      if (dir) {
+        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)
+      } else {
+        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)
+      }
+    }
+    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)
+  }
+
+  throw new TypeError('val must be string, number or Buffer')
+}
+
+function arrayIndexOf (arr, val, byteOffset, encoding, dir) {
+  var indexSize = 1
+  var arrLength = arr.length
+  var valLength = val.length
+
+  if (encoding !== undefined) {
+    encoding = String(encoding).toLowerCase()
+    if (encoding === 'ucs2' || encoding === 'ucs-2' ||
+        encoding === 'utf16le' || encoding === 'utf-16le') {
+      if (arr.length < 2 || val.length < 2) {
+        return -1
+      }
+      indexSize = 2
+      arrLength /= 2
+      valLength /= 2
+      byteOffset /= 2
+    }
+  }
+
+  function read (buf, i) {
+    if (indexSize === 1) {
+      return buf[i]
+    } else {
+      return buf.readUInt16BE(i * indexSize)
+    }
+  }
+
+  var i
+  if (dir) {
+    var foundIndex = -1
+    for (i = byteOffset; i < arrLength; i++) {
+      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {
+        if (foundIndex === -1) foundIndex = i
+        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize
+      } else {
+        if (foundIndex !== -1) i -= i - foundIndex
+        foundIndex = -1
+      }
+    }
+  } else {
+    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength
+    for (i = byteOffset; i >= 0; i--) {
+      var found = true
+      for (var j = 0; j < valLength; j++) {
+        if (read(arr, i + j) !== read(val, j)) {
+          found = false
+          break
+        }
+      }
+      if (found) return i
+    }
+  }
+
+  return -1
+}
+
+Buffer.prototype.includes = function includes (val, byteOffset, encoding) {
+  return this.indexOf(val, byteOffset, encoding) !== -1
+}
+
+Buffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {
+  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)
+}
+
+Buffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {
+  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)
+}
+
+function hexWrite (buf, string, offset, length) {
+  offset = Number(offset) || 0
+  var remaining = buf.length - offset
+  if (!length) {
+    length = remaining
+  } else {
+    length = Number(length)
+    if (length > remaining) {
+      length = remaining
+    }
+  }
+
+  // must be an even number of digits
+  var strLen = string.length
+  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')
+
+  if (length > strLen / 2) {
+    length = strLen / 2
+  }
+  for (var i = 0; i < length; ++i) {
+    var parsed = parseInt(string.substr(i * 2, 2), 16)
+    if (isNaN(parsed)) return i
+    buf[offset + i] = parsed
+  }
+  return i
+}
+
+function utf8Write (buf, string, offset, length) {
+  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)
+}
+
+function asciiWrite (buf, string, offset, length) {
+  return blitBuffer(asciiToBytes(string), buf, offset, length)
+}
+
+function latin1Write (buf, string, offset, length) {
+  return asciiWrite(buf, string, offset, length)
+}
+
+function base64Write (buf, string, offset, length) {
+  return blitBuffer(base64ToBytes(string), buf, offset, length)
+}
+
+function ucs2Write (buf, string, offset, length) {
+  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)
+}
+
+Buffer.prototype.write = function write (string, offset, length, encoding) {
+  // Buffer#write(string)
+  if (offset === undefined) {
+    encoding = 'utf8'
+    length = this.length
+    offset = 0
+  // Buffer#write(string, encoding)
+  } else if (length === undefined && typeof offset === 'string') {
+    encoding = offset
+    length = this.length
+    offset = 0
+  // Buffer#write(string, offset[, length][, encoding])
+  } else if (isFinite(offset)) {
+    offset = offset | 0
+    if (isFinite(length)) {
+      length = length | 0
+      if (encoding === undefined) encoding = 'utf8'
+    } else {
+      encoding = length
+      length = undefined
+    }
+  // legacy write(string, encoding, offset, length) - remove in v0.13
+  } else {
+    throw new Error(
+      'Buffer.write(string, encoding, offset[, length]) is no longer supported'
+    )
+  }
+
+  var remaining = this.length - offset
+  if (length === undefined || length > remaining) length = remaining
+
+  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {
+    throw new RangeError('Attempt to write outside buffer bounds')
+  }
+
+  if (!encoding) encoding = 'utf8'
+
+  var loweredCase = false
+  for (;;) {
+    switch (encoding) {
+      case 'hex':
+        return hexWrite(this, string, offset, length)
+
+      case 'utf8':
+      case 'utf-8':
+        return utf8Write(this, string, offset, length)
+
+      case 'ascii':
+        return asciiWrite(this, string, offset, length)
+
+      case 'latin1':
+      case 'binary':
+        return latin1Write(this, string, offset, length)
+
+      case 'base64':
+        // Warning: maxLength not taken into account in base64Write
+        return base64Write(this, string, offset, length)
+
+      case 'ucs2':
+      case 'ucs-2':
+      case 'utf16le':
+      case 'utf-16le':
+        return ucs2Write(this, string, offset, length)
+
+      default:
+        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)
+        encoding = ('' + encoding).toLowerCase()
+        loweredCase = true
+    }
+  }
+}
+
+Buffer.prototype.toJSON = function toJSON () {
+  return {
+    type: 'Buffer',
+    data: Array.prototype.slice.call(this._arr || this, 0)
+  }
+}
+
+function base64Slice (buf, start, end) {
+  if (start === 0 && end === buf.length) {
+    return base64.fromByteArray(buf)
+  } else {
+    return base64.fromByteArray(buf.slice(start, end))
+  }
+}
+
+function utf8Slice (buf, start, end) {
+  end = Math.min(buf.length, end)
+  var res = []
+
+  var i = start
+  while (i < end) {
+    var firstByte = buf[i]
+    var codePoint = null
+    var bytesPerSequence = (firstByte > 0xEF) ? 4
+      : (firstByte > 0xDF) ? 3
+      : (firstByte > 0xBF) ? 2
+      : 1
+
+    if (i + bytesPerSequence <= end) {
+      var secondByte, thirdByte, fourthByte, tempCodePoint
+
+      switch (bytesPerSequence) {
+        case 1:
+          if (firstByte < 0x80) {
+            codePoint = firstByte
+          }
+          break
+        case 2:
+          secondByte = buf[i + 1]
+          if ((secondByte & 0xC0) === 0x80) {
+            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)
+            if (tempCodePoint > 0x7F) {
+              codePoint = tempCodePoint
+            }
+          }
+          break
+        case 3:
+          secondByte = buf[i + 1]
+          thirdByte = buf[i + 2]
+          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {
+            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)
+            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {
+              codePoint = tempCodePoint
+            }
+          }
+          break
+        case 4:
+          secondByte = buf[i + 1]
+          thirdByte = buf[i + 2]
+          fourthByte = buf[i + 3]
+          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {
+            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)
+            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {
+              codePoint = tempCodePoint
+            }
+          }
+      }
+    }
+
+    if (codePoint === null) {
+      // we did not generate a valid codePoint so insert a
+      // replacement char (U+FFFD) and advance only 1 byte
+      codePoint = 0xFFFD
+      bytesPerSequence = 1
+    } else if (codePoint > 0xFFFF) {
+      // encode to utf16 (surrogate pair dance)
+      codePoint -= 0x10000
+      res.push(codePoint >>> 10 & 0x3FF | 0xD800)
+      codePoint = 0xDC00 | codePoint & 0x3FF
+    }
+
+    res.push(codePoint)
+    i += bytesPerSequence
+  }
+
+  return decodeCodePointsArray(res)
+}
+
+// Based on http://stackoverflow.com/a/22747272/680742, the browser with
+// the lowest limit is Chrome, with 0x10000 args.
+// We go 1 magnitude less, for safety
+var MAX_ARGUMENTS_LENGTH = 0x1000
+
+function decodeCodePointsArray (codePoints) {
+  var len = codePoints.length
+  if (len <= MAX_ARGUMENTS_LENGTH) {
+    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()
+  }
+
+  // Decode in chunks to avoid "call stack size exceeded".
+  var res = ''
+  var i = 0
+  while (i < len) {
+    res += String.fromCharCode.apply(
+      String,
+      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)
+    )
+  }
+  return res
+}
+
+function asciiSlice (buf, start, end) {
+  var ret = ''
+  end = Math.min(buf.length, end)
+
+  for (var i = start; i < end; ++i) {
+    ret += String.fromCharCode(buf[i] & 0x7F)
+  }
+  return ret
+}
+
+function latin1Slice (buf, start, end) {
+  var ret = ''
+  end = Math.min(buf.length, end)
+
+  for (var i = start; i < end; ++i) {
+    ret += String.fromCharCode(buf[i])
+  }
+  return ret
+}
+
+function hexSlice (buf, start, end) {
+  var len = buf.length
+
+  if (!start || start < 0) start = 0
+  if (!end || end < 0 || end > len) end = len
+
+  var out = ''
+  for (var i = start; i < end; ++i) {
+    out += toHex(buf[i])
+  }
+  return out
+}
+
+function utf16leSlice (buf, start, end) {
+  var bytes = buf.slice(start, end)
+  var res = ''
+  for (var i = 0; i < bytes.length; i += 2) {
+    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)
+  }
+  return res
+}
+
+Buffer.prototype.slice = function slice (start, end) {
+  var len = this.length
+  start = ~~start
+  end = end === undefined ? len : ~~end
+
+  if (start < 0) {
+    start += len
+    if (start < 0) start = 0
+  } else if (start > len) {
+    start = len
+  }
+
+  if (end < 0) {
+    end += len
+    if (end < 0) end = 0
+  } else if (end > len) {
+    end = len
+  }
+
+  if (end < start) end = start
+
+  var newBuf
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    newBuf = this.subarray(start, end)
+    newBuf.__proto__ = Buffer.prototype
+  } else {
+    var sliceLen = end - start
+    newBuf = new Buffer(sliceLen, undefined)
+    for (var i = 0; i < sliceLen; ++i) {
+      newBuf[i] = this[i + start]
+    }
+  }
+
+  return newBuf
+}
+
+/*
+ * Need to make sure that buffer isn't trying to write out of bounds.
+ */
+function checkOffset (offset, ext, length) {
+  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')
+  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')
+}
+
+Buffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) checkOffset(offset, byteLength, this.length)
+
+  var val = this[offset]
+  var mul = 1
+  var i = 0
+  while (++i < byteLength && (mul *= 0x100)) {
+    val += this[offset + i] * mul
+  }
+
+  return val
+}
+
+Buffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) {
+    checkOffset(offset, byteLength, this.length)
+  }
+
+  var val = this[offset + --byteLength]
+  var mul = 1
+  while (byteLength > 0 && (mul *= 0x100)) {
+    val += this[offset + --byteLength] * mul
+  }
+
+  return val
+}
+
+Buffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 1, this.length)
+  return this[offset]
+}
+
+Buffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 2, this.length)
+  return this[offset] | (this[offset + 1] << 8)
+}
+
+Buffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 2, this.length)
+  return (this[offset] << 8) | this[offset + 1]
+}
+
+Buffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+
+  return ((this[offset]) |
+      (this[offset + 1] << 8) |
+      (this[offset + 2] << 16)) +
+      (this[offset + 3] * 0x1000000)
+}
+
+Buffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+
+  return (this[offset] * 0x1000000) +
+    ((this[offset + 1] << 16) |
+    (this[offset + 2] << 8) |
+    this[offset + 3])
+}
+
+Buffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) checkOffset(offset, byteLength, this.length)
+
+  var val = this[offset]
+  var mul = 1
+  var i = 0
+  while (++i < byteLength && (mul *= 0x100)) {
+    val += this[offset + i] * mul
+  }
+  mul *= 0x80
+
+  if (val >= mul) val -= Math.pow(2, 8 * byteLength)
+
+  return val
+}
+
+Buffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) checkOffset(offset, byteLength, this.length)
+
+  var i = byteLength
+  var mul = 1
+  var val = this[offset + --i]
+  while (i > 0 && (mul *= 0x100)) {
+    val += this[offset + --i] * mul
+  }
+  mul *= 0x80
+
+  if (val >= mul) val -= Math.pow(2, 8 * byteLength)
+
+  return val
+}
+
+Buffer.prototype.readInt8 = function readInt8 (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 1, this.length)
+  if (!(this[offset] & 0x80)) return (this[offset])
+  return ((0xff - this[offset] + 1) * -1)
+}
+
+Buffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 2, this.length)
+  var val = this[offset] | (this[offset + 1] << 8)
+  return (val & 0x8000) ? val | 0xFFFF0000 : val
+}
+
+Buffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 2, this.length)
+  var val = this[offset + 1] | (this[offset] << 8)
+  return (val & 0x8000) ? val | 0xFFFF0000 : val
+}
+
+Buffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+
+  return (this[offset]) |
+    (this[offset + 1] << 8) |
+    (this[offset + 2] << 16) |
+    (this[offset + 3] << 24)
+}
+
+Buffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+
+  return (this[offset] << 24) |
+    (this[offset + 1] << 16) |
+    (this[offset + 2] << 8) |
+    (this[offset + 3])
+}
+
+Buffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+  return ieee754.read(this, offset, true, 23, 4)
+}
+
+Buffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 4, this.length)
+  return ieee754.read(this, offset, false, 23, 4)
+}
+
+Buffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 8, this.length)
+  return ieee754.read(this, offset, true, 52, 8)
+}
+
+Buffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {
+  if (!noAssert) checkOffset(offset, 8, this.length)
+  return ieee754.read(this, offset, false, 52, 8)
+}
+
+function checkInt (buf, value, offset, ext, max, min) {
+  if (!Buffer.isBuffer(buf)) throw new TypeError('"buffer" argument must be a Buffer instance')
+  if (value > max || value < min) throw new RangeError('"value" argument is out of bounds')
+  if (offset + ext > buf.length) throw new RangeError('Index out of range')
+}
+
+Buffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {
+  value = +value
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) {
+    var maxBytes = Math.pow(2, 8 * byteLength) - 1
+    checkInt(this, value, offset, byteLength, maxBytes, 0)
+  }
+
+  var mul = 1
+  var i = 0
+  this[offset] = value & 0xFF
+  while (++i < byteLength && (mul *= 0x100)) {
+    this[offset + i] = (value / mul) & 0xFF
+  }
+
+  return offset + byteLength
+}
+
+Buffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {
+  value = +value
+  offset = offset | 0
+  byteLength = byteLength | 0
+  if (!noAssert) {
+    var maxBytes = Math.pow(2, 8 * byteLength) - 1
+    checkInt(this, value, offset, byteLength, maxBytes, 0)
+  }
+
+  var i = byteLength - 1
+  var mul = 1
+  this[offset + i] = value & 0xFF
+  while (--i >= 0 && (mul *= 0x100)) {
+    this[offset + i] = (value / mul) & 0xFF
+  }
+
+  return offset + byteLength
+}
+
+Buffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)
+  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)
+  this[offset] = (value & 0xff)
+  return offset + 1
+}
+
+function objectWriteUInt16 (buf, value, offset, littleEndian) {
+  if (value < 0) value = 0xffff + value + 1
+  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {
+    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>
+      (littleEndian ? i : 1 - i) * 8
+  }
+}
+
+Buffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value & 0xff)
+    this[offset + 1] = (value >>> 8)
+  } else {
+    objectWriteUInt16(this, value, offset, true)
+  }
+  return offset + 2
+}
+
+Buffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value >>> 8)
+    this[offset + 1] = (value & 0xff)
+  } else {
+    objectWriteUInt16(this, value, offset, false)
+  }
+  return offset + 2
+}
+
+function objectWriteUInt32 (buf, value, offset, littleEndian) {
+  if (value < 0) value = 0xffffffff + value + 1
+  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {
+    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff
+  }
+}
+
+Buffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset + 3] = (value >>> 24)
+    this[offset + 2] = (value >>> 16)
+    this[offset + 1] = (value >>> 8)
+    this[offset] = (value & 0xff)
+  } else {
+    objectWriteUInt32(this, value, offset, true)
+  }
+  return offset + 4
+}
+
+Buffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value >>> 24)
+    this[offset + 1] = (value >>> 16)
+    this[offset + 2] = (value >>> 8)
+    this[offset + 3] = (value & 0xff)
+  } else {
+    objectWriteUInt32(this, value, offset, false)
+  }
+  return offset + 4
+}
+
+Buffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) {
+    var limit = Math.pow(2, 8 * byteLength - 1)
+
+    checkInt(this, value, offset, byteLength, limit - 1, -limit)
+  }
+
+  var i = 0
+  var mul = 1
+  var sub = 0
+  this[offset] = value & 0xFF
+  while (++i < byteLength && (mul *= 0x100)) {
+    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {
+      sub = 1
+    }
+    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF
+  }
+
+  return offset + byteLength
+}
+
+Buffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) {
+    var limit = Math.pow(2, 8 * byteLength - 1)
+
+    checkInt(this, value, offset, byteLength, limit - 1, -limit)
+  }
+
+  var i = byteLength - 1
+  var mul = 1
+  var sub = 0
+  this[offset + i] = value & 0xFF
+  while (--i >= 0 && (mul *= 0x100)) {
+    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {
+      sub = 1
+    }
+    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF
+  }
+
+  return offset + byteLength
+}
+
+Buffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)
+  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)
+  if (value < 0) value = 0xff + value + 1
+  this[offset] = (value & 0xff)
+  return offset + 1
+}
+
+Buffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value & 0xff)
+    this[offset + 1] = (value >>> 8)
+  } else {
+    objectWriteUInt16(this, value, offset, true)
+  }
+  return offset + 2
+}
+
+Buffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value >>> 8)
+    this[offset + 1] = (value & 0xff)
+  } else {
+    objectWriteUInt16(this, value, offset, false)
+  }
+  return offset + 2
+}
+
+Buffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value & 0xff)
+    this[offset + 1] = (value >>> 8)
+    this[offset + 2] = (value >>> 16)
+    this[offset + 3] = (value >>> 24)
+  } else {
+    objectWriteUInt32(this, value, offset, true)
+  }
+  return offset + 4
+}
+
+Buffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {
+  value = +value
+  offset = offset | 0
+  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)
+  if (value < 0) value = 0xffffffff + value + 1
+  if (Buffer.TYPED_ARRAY_SUPPORT) {
+    this[offset] = (value >>> 24)
+    this[offset + 1] = (value >>> 16)
+    this[offset + 2] = (value >>> 8)
+    this[offset + 3] = (value & 0xff)
+  } else {
+    objectWriteUInt32(this, value, offset, false)
+  }
+  return offset + 4
+}
+
+function checkIEEE754 (buf, value, offset, ext, max, min) {
+  if (offset + ext > buf.length) throw new RangeError('Index out of range')
+  if (offset < 0) throw new RangeError('Index out of range')
+}
+
+function writeFloat (buf, value, offset, littleEndian, noAssert) {
+  if (!noAssert) {
+    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)
+  }
+  ieee754.write(buf, value, offset, littleEndian, 23, 4)
+  return offset + 4
+}
+
+Buffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {
+  return writeFloat(this, value, offset, true, noAssert)
+}
+
+Buffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {
+  return writeFloat(this, value, offset, false, noAssert)
+}
+
+function writeDouble (buf, value, offset, littleEndian, noAssert) {
+  if (!noAssert) {
+    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)
+  }
+  ieee754.write(buf, value, offset, littleEndian, 52, 8)
+  return offset + 8
+}
+
+Buffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {
+  return writeDouble(this, value, offset, true, noAssert)
+}
+
+Buffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {
+  return writeDouble(this, value, offset, false, noAssert)
+}
+
+// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)
+Buffer.prototype.copy = function copy (target, targetStart, start, end) {
+  if (!start) start = 0
+  if (!end && end !== 0) end = this.length
+  if (targetStart >= target.length) targetStart = target.length
+  if (!targetStart) targetStart = 0
+  if (end > 0 && end < start) end = start
+
+  // Copy 0 bytes; we're done
+  if (end === start) return 0
+  if (target.length === 0 || this.length === 0) return 0
+
+  // Fatal error conditions
+  if (targetStart < 0) {
+    throw new RangeError('targetStart out of bounds')
+  }
+  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')
+  if (end < 0) throw new RangeError('sourceEnd out of bounds')
+
+  // Are we oob?
+  if (end > this.length) end = this.length
+  if (target.length - targetStart < end - start) {
+    end = target.length - targetStart + start
+  }
+
+  var len = end - start
+  var i
+
+  if (this === target && start < targetStart && targetStart < end) {
+    // descending copy from end
+    for (i = len - 1; i >= 0; --i) {
+      target[i + targetStart] = this[i + start]
+    }
+  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {
+    // ascending copy from start
+    for (i = 0; i < len; ++i) {
+      target[i + targetStart] = this[i + start]
+    }
+  } else {
+    Uint8Array.prototype.set.call(
+      target,
+      this.subarray(start, start + len),
+      targetStart
+    )
+  }
+
+  return len
+}
+
+// Usage:
+//    buffer.fill(number[, offset[, end]])
+//    buffer.fill(buffer[, offset[, end]])
+//    buffer.fill(string[, offset[, end]][, encoding])
+Buffer.prototype.fill = function fill (val, start, end, encoding) {
+  // Handle string cases:
+  if (typeof val === 'string') {
+    if (typeof start === 'string') {
+      encoding = start
+      start = 0
+      end = this.length
+    } else if (typeof end === 'string') {
+      encoding = end
+      end = this.length
+    }
+    if (val.length === 1) {
+      var code = val.charCodeAt(0)
+      if (code < 256) {
+        val = code
+      }
+    }
+    if (encoding !== undefined && typeof encoding !== 'string') {
+      throw new TypeError('encoding must be a string')
+    }
+    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {
+      throw new TypeError('Unknown encoding: ' + encoding)
+    }
+  } else if (typeof val === 'number') {
+    val = val & 255
+  }
+
+  // Invalid ranges are not set to a default, so can range check early.
+  if (start < 0 || this.length < start || this.length < end) {
+    throw new RangeError('Out of range index')
+  }
+
+  if (end <= start) {
+    return this
+  }
+
+  start = start >>> 0
+  end = end === undefined ? this.length : end >>> 0
+
+  if (!val) val = 0
+
+  var i
+  if (typeof val === 'number') {
+    for (i = start; i < end; ++i) {
+      this[i] = val
+    }
+  } else {
+    var bytes = Buffer.isBuffer(val)
+      ? val
+      : utf8ToBytes(new Buffer(val, encoding).toString())
+    var len = bytes.length
+    for (i = 0; i < end - start; ++i) {
+      this[i + start] = bytes[i % len]
+    }
+  }
+
+  return this
+}
+
+// HELPER FUNCTIONS
+// ================
+
+var INVALID_BASE64_RE = /[^+\/0-9A-Za-z-_]/g
+
+function base64clean (str) {
+  // Node strips out invalid characters like \n and \t from the string, base64-js does not
+  str = stringtrim(str).replace(INVALID_BASE64_RE, '')
+  // Node converts strings with length < 2 to ''
+  if (str.length < 2) return ''
+  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not
+  while (str.length % 4 !== 0) {
+    str = str + '='
+  }
+  return str
+}
+
+function stringtrim (str) {
+  if (str.trim) return str.trim()
+  return str.replace(/^\s+|\s+$/g, '')
+}
+
+function toHex (n) {
+  if (n < 16) return '0' + n.toString(16)
+  return n.toString(16)
+}
+
+function utf8ToBytes (string, units) {
+  units = units || Infinity
+  var codePoint
+  var length = string.length
+  var leadSurrogate = null
+  var bytes = []
+
+  for (var i = 0; i < length; ++i) {
+    codePoint = string.charCodeAt(i)
+
+    // is surrogate component
+    if (codePoint > 0xD7FF && codePoint < 0xE000) {
+      // last char was a lead
+      if (!leadSurrogate) {
+        // no lead yet
+        if (codePoint > 0xDBFF) {
+          // unexpected trail
+          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)
+          continue
+        } else if (i + 1 === length) {
+          // unpaired lead
+          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)
+          continue
+        }
+
+        // valid lead
+        leadSurrogate = codePoint
+
+        continue
+      }
+
+      // 2 leads in a row
+      if (codePoint < 0xDC00) {
+        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)
+        leadSurrogate = codePoint
+        continue
+      }
+
+      // valid surrogate pair
+      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000
+    } else if (leadSurrogate) {
+      // valid bmp char, but last char was a lead
+      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)
+    }
+
+    leadSurrogate = null
+
+    // encode utf8
+    if (codePoint < 0x80) {
+      if ((units -= 1) < 0) break
+      bytes.push(codePoint)
+    } else if (codePoint < 0x800) {
+      if ((units -= 2) < 0) break
+      bytes.push(
+        codePoint >> 0x6 | 0xC0,
+        codePoint & 0x3F | 0x80
+      )
+    } else if (codePoint < 0x10000) {
+      if ((units -= 3) < 0) break
+      bytes.push(
+        codePoint >> 0xC | 0xE0,
+        codePoint >> 0x6 & 0x3F | 0x80,
+        codePoint & 0x3F | 0x80
+      )
+    } else if (codePoint < 0x110000) {
+      if ((units -= 4) < 0) break
+      bytes.push(
+        codePoint >> 0x12 | 0xF0,
+        codePoint >> 0xC & 0x3F | 0x80,
+        codePoint >> 0x6 & 0x3F | 0x80,
+        codePoint & 0x3F | 0x80
+      )
+    } else {
+      throw new Error('Invalid code point')
+    }
+  }
+
+  return bytes
+}
+
+function asciiToBytes (str) {
+  var byteArray = []
+  for (var i = 0; i < str.length; ++i) {
+    // Node's code seems to be doing this and not & 0x7F..
+    byteArray.push(str.charCodeAt(i) & 0xFF)
+  }
+  return byteArray
+}
+
+function utf16leToBytes (str, units) {
+  var c, hi, lo
+  var byteArray = []
+  for (var i = 0; i < str.length; ++i) {
+    if ((units -= 2) < 0) break
+
+    c = str.charCodeAt(i)
+    hi = c >> 8
+    lo = c % 256
+    byteArray.push(lo)
+    byteArray.push(hi)
+  }
+
+  return byteArray
+}
+
+function base64ToBytes (str) {
+  return base64.toByteArray(base64clean(str))
+}
+
+function blitBuffer (src, dst, offset, length) {
+  for (var i = 0; i < length; ++i) {
+    if ((i + offset >= dst.length) || (i >= src.length)) break
+    dst[i + offset] = src[i]
+  }
+  return i
+}
+
+function isnan (val) {
+  return val !== val // eslint-disable-line no-self-compare
+}
+
+},{"base64-js":70,"ieee754":71,"isarray":72,"buffer":62}],98:[function(require,module,exports) {
+
+/* eslint-disable node/no-deprecated-api */
+var buffer = require('buffer')
+var Buffer = buffer.Buffer
+
+// alternative to using Object.keys for old browsers
+function copyProps (src, dst) {
+  for (var key in src) {
+    dst[key] = src[key]
+  }
+}
+if (Buffer.from && Buffer.alloc && Buffer.allocUnsafe && Buffer.allocUnsafeSlow) {
+  module.exports = buffer
+} else {
+  // Copy properties from require('buffer')
+  copyProps(buffer, exports)
+  exports.Buffer = SafeBuffer
+}
+
+function SafeBuffer (arg, encodingOrOffset, length) {
+  return Buffer(arg, encodingOrOffset, length)
+}
+
+// Copy static methods from Buffer
+copyProps(Buffer, SafeBuffer)
+
+SafeBuffer.from = function (arg, encodingOrOffset, length) {
+  if (typeof arg === 'number') {
+    throw new TypeError('Argument must not be a number')
+  }
+  return Buffer(arg, encodingOrOffset, length)
+}
+
+SafeBuffer.alloc = function (size, fill, encoding) {
+  if (typeof size !== 'number') {
+    throw new TypeError('Argument must be a number')
+  }
+  var buf = Buffer(size)
+  if (fill !== undefined) {
+    if (typeof encoding === 'string') {
+      buf.fill(fill, encoding)
+    } else {
+      buf.fill(fill)
+    }
+  } else {
+    buf.fill(0)
+  }
+  return buf
+}
+
+SafeBuffer.allocUnsafe = function (size) {
+  if (typeof size !== 'number') {
+    throw new TypeError('Argument must be a number')
+  }
+  return Buffer(size)
+}
+
+SafeBuffer.allocUnsafeSlow = function (size) {
+  if (typeof size !== 'number') {
+    throw new TypeError('Argument must be a number')
+  }
+  return buffer.SlowBuffer(size)
+}
+
+},{"buffer":62}],6:[function(require,module,exports) {
+
+// shim for using process in browser
+var process = module.exports = {};
+
+// cached from whatever global is present so that test runners that stub it
+// don't break things.  But we need to wrap it in a try catch in case it is
+// wrapped in strict mode code which doesn't define any globals.  It's inside a
+// function because try/catches deoptimize in certain engines.
+
+var cachedSetTimeout;
+var cachedClearTimeout;
+
+function defaultSetTimout() {
+    throw new Error('setTimeout has not been defined');
+}
+function defaultClearTimeout() {
+    throw new Error('clearTimeout has not been defined');
+}
+(function () {
+    try {
+        if (typeof setTimeout === 'function') {
+            cachedSetTimeout = setTimeout;
+        } else {
+            cachedSetTimeout = defaultSetTimout;
+        }
+    } catch (e) {
+        cachedSetTimeout = defaultSetTimout;
+    }
+    try {
+        if (typeof clearTimeout === 'function') {
+            cachedClearTimeout = clearTimeout;
+        } else {
+            cachedClearTimeout = defaultClearTimeout;
+        }
+    } catch (e) {
+        cachedClearTimeout = defaultClearTimeout;
+    }
+})();
+function runTimeout(fun) {
+    if (cachedSetTimeout === setTimeout) {
+        //normal enviroments in sane situations
+        return setTimeout(fun, 0);
+    }
+    // if setTimeout wasn't available but was latter defined
+    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {
+        cachedSetTimeout = setTimeout;
+        return setTimeout(fun, 0);
+    }
+    try {
+        // when when somebody has screwed with setTimeout but no I.E. maddness
+        return cachedSetTimeout(fun, 0);
+    } catch (e) {
+        try {
+            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally
+            return cachedSetTimeout.call(null, fun, 0);
+        } catch (e) {
+            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error
+            return cachedSetTimeout.call(this, fun, 0);
+        }
+    }
+}
+function runClearTimeout(marker) {
+    if (cachedClearTimeout === clearTimeout) {
+        //normal enviroments in sane situations
+        return clearTimeout(marker);
+    }
+    // if clearTimeout wasn't available but was latter defined
+    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {
+        cachedClearTimeout = clearTimeout;
+        return clearTimeout(marker);
+    }
+    try {
+        // when when somebody has screwed with setTimeout but no I.E. maddness
+        return cachedClearTimeout(marker);
+    } catch (e) {
+        try {
+            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally
+            return cachedClearTimeout.call(null, marker);
+        } catch (e) {
+            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.
+            // Some versions of I.E. have different rules for clearTimeout vs setTimeout
+            return cachedClearTimeout.call(this, marker);
+        }
+    }
+}
+var queue = [];
+var draining = false;
+var currentQueue;
+var queueIndex = -1;
+
+function cleanUpNextTick() {
+    if (!draining || !currentQueue) {
+        return;
+    }
+    draining = false;
+    if (currentQueue.length) {
+        queue = currentQueue.concat(queue);
+    } else {
+        queueIndex = -1;
+    }
+    if (queue.length) {
+        drainQueue();
+    }
+}
+
+function drainQueue() {
+    if (draining) {
+        return;
+    }
+    var timeout = runTimeout(cleanUpNextTick);
+    draining = true;
+
+    var len = queue.length;
+    while (len) {
+        currentQueue = queue;
+        queue = [];
+        while (++queueIndex < len) {
+            if (currentQueue) {
+                currentQueue[queueIndex].run();
+            }
+        }
+        queueIndex = -1;
+        len = queue.length;
+    }
+    currentQueue = null;
+    draining = false;
+    runClearTimeout(timeout);
+}
+
+process.nextTick = function (fun) {
+    var args = new Array(arguments.length - 1);
+    if (arguments.length > 1) {
+        for (var i = 1; i < arguments.length; i++) {
+            args[i - 1] = arguments[i];
+        }
+    }
+    queue.push(new Item(fun, args));
+    if (queue.length === 1 && !draining) {
+        runTimeout(drainQueue);
+    }
+};
+
+// v8 likes predictible objects
+function Item(fun, array) {
+    this.fun = fun;
+    this.array = array;
+}
+Item.prototype.run = function () {
+    this.fun.apply(null, this.array);
+};
+process.title = 'browser';
+process.browser = true;
+process.env = {};
+process.argv = [];
+process.version = ''; // empty string to avoid regexp issues
+process.versions = {};
+
+function noop() {}
+
+process.on = noop;
+process.addListener = noop;
+process.once = noop;
+process.off = noop;
+process.removeListener = noop;
+process.removeAllListeners = noop;
+process.emit = noop;
+process.prependListener = noop;
+process.prependOnceListener = noop;
+
+process.listeners = function (name) {
+    return [];
+};
+
+process.binding = function (name) {
+    throw new Error('process.binding is not supported');
+};
+
+process.cwd = function () {
+    return '/';
+};
+process.chdir = function (dir) {
+    throw new Error('process.chdir is not supported');
+};
+process.umask = function () {
+    return 0;
+};
+},{}],74:[function(require,module,exports) {
+
+var global = arguments[3];
+var process = require("process");
+'use strict'
+
+function oldBrowser () {
+  throw new Error('Secure random number generation is not supported by this browser.\nUse Chrome, Firefox or Internet Explorer 11')
+}
+
+var Buffer = require('safe-buffer').Buffer
+var crypto = global.crypto || global.msCrypto
+
+if (crypto && crypto.getRandomValues) {
+  module.exports = randomBytes
+} else {
+  module.exports = oldBrowser
+}
+
+function randomBytes (size, cb) {
+  // phantomjs needs to throw
+  if (size > 65536) throw new Error('requested too many random bytes')
+  // in case browserify  isn't using the Uint8Array version
+  var rawBytes = new global.Uint8Array(size)
+
+  // This will not work in older browsers.
+  // See https://developer.mozilla.org/en-US/docs/Web/API/window.crypto.getRandomValues
+  if (size > 0) {  // getRandomValues fails on IE if size == 0
+    crypto.getRandomValues(rawBytes)
+  }
+
+  // XXX: phantomjs doesn't like a buffer being passed here
+  var bytes = Buffer.from(rawBytes.buffer)
+
+  if (typeof cb === 'function') {
+    return process.nextTick(function () {
+      cb(null, bytes)
+    })
+  }
+
+  return bytes
+}
+
+},{"safe-buffer":98,"process":6}],97:[function(require,module,exports) {
+if (typeof Object.create === 'function') {
+  // implementation from standard node.js 'util' module
+  module.exports = function inherits(ctor, superCtor) {
+    ctor.super_ = superCtor
+    ctor.prototype = Object.create(superCtor.prototype, {
+      constructor: {
+        value: ctor,
+        enumerable: false,
+        writable: true,
+        configurable: true
+      }
+    });
+  };
+} else {
+  // old school shim for old browsers
+  module.exports = function inherits(ctor, superCtor) {
+    ctor.super_ = superCtor
+    var TempCtor = function () {}
+    TempCtor.prototype = superCtor.prototype
+    ctor.prototype = new TempCtor()
+    ctor.prototype.constructor = ctor
+  }
+}
+
+},{}],133:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+function EventEmitter() {
+  this._events = this._events || {};
+  this._maxListeners = this._maxListeners || undefined;
+}
+module.exports = EventEmitter;
+
+// Backwards-compat with node 0.10.x
+EventEmitter.EventEmitter = EventEmitter;
+
+EventEmitter.prototype._events = undefined;
+EventEmitter.prototype._maxListeners = undefined;
+
+// By default EventEmitters will print a warning if more than 10 listeners are
+// added to it. This is a useful default which helps finding memory leaks.
+EventEmitter.defaultMaxListeners = 10;
+
+// Obviously not all Emitters should be limited to 10. This function allows
+// that to be increased. Set to zero for unlimited.
+EventEmitter.prototype.setMaxListeners = function (n) {
+  if (!isNumber(n) || n < 0 || isNaN(n)) throw TypeError('n must be a positive number');
+  this._maxListeners = n;
+  return this;
+};
+
+EventEmitter.prototype.emit = function (type) {
+  var er, handler, len, args, i, listeners;
+
+  if (!this._events) this._events = {};
+
+  // If there is no 'error' event listener then throw.
+  if (type === 'error') {
+    if (!this._events.error || isObject(this._events.error) && !this._events.error.length) {
+      er = arguments[1];
+      if (er instanceof Error) {
+        throw er; // Unhandled 'error' event
+      } else {
+        // At least give some kind of context to the user
+        var err = new Error('Uncaught, unspecified "error" event. (' + er + ')');
+        err.context = er;
+        throw err;
+      }
+    }
+  }
+
+  handler = this._events[type];
+
+  if (isUndefined(handler)) return false;
+
+  if (isFunction(handler)) {
+    switch (arguments.length) {
+      // fast cases
+      case 1:
+        handler.call(this);
+        break;
+      case 2:
+        handler.call(this, arguments[1]);
+        break;
+      case 3:
+        handler.call(this, arguments[1], arguments[2]);
+        break;
+      // slower
+      default:
+        args = Array.prototype.slice.call(arguments, 1);
+        handler.apply(this, args);
+    }
+  } else if (isObject(handler)) {
+    args = Array.prototype.slice.call(arguments, 1);
+    listeners = handler.slice();
+    len = listeners.length;
+    for (i = 0; i < len; i++) listeners[i].apply(this, args);
+  }
+
+  return true;
+};
+
+EventEmitter.prototype.addListener = function (type, listener) {
+  var m;
+
+  if (!isFunction(listener)) throw TypeError('listener must be a function');
+
+  if (!this._events) this._events = {};
+
+  // To avoid recursion in the case that type === "newListener"! Before
+  // adding it to the listeners, first emit "newListener".
+  if (this._events.newListener) this.emit('newListener', type, isFunction(listener.listener) ? listener.listener : listener);
+
+  if (!this._events[type])
+    // Optimize the case of one listener. Don't need the extra array object.
+    this._events[type] = listener;else if (isObject(this._events[type]))
+    // If we've already got an array, just append.
+    this._events[type].push(listener);else
+    // Adding the second element, need to change to array.
+    this._events[type] = [this._events[type], listener];
+
+  // Check for listener leak
+  if (isObject(this._events[type]) && !this._events[type].warned) {
+    if (!isUndefined(this._maxListeners)) {
+      m = this._maxListeners;
+    } else {
+      m = EventEmitter.defaultMaxListeners;
+    }
+
+    if (m && m > 0 && this._events[type].length > m) {
+      this._events[type].warned = true;
+      console.error('(node) warning: possible EventEmitter memory ' + 'leak detected. %d listeners added. ' + 'Use emitter.setMaxListeners() to increase limit.', this._events[type].length);
+      if (typeof console.trace === 'function') {
+        // not supported in IE 10
+        console.trace();
+      }
+    }
+  }
+
+  return this;
+};
+
+EventEmitter.prototype.on = EventEmitter.prototype.addListener;
+
+EventEmitter.prototype.once = function (type, listener) {
+  if (!isFunction(listener)) throw TypeError('listener must be a function');
+
+  var fired = false;
+
+  function g() {
+    this.removeListener(type, g);
+
+    if (!fired) {
+      fired = true;
+      listener.apply(this, arguments);
+    }
+  }
+
+  g.listener = listener;
+  this.on(type, g);
+
+  return this;
+};
+
+// emits a 'removeListener' event iff the listener was removed
+EventEmitter.prototype.removeListener = function (type, listener) {
+  var list, position, length, i;
+
+  if (!isFunction(listener)) throw TypeError('listener must be a function');
+
+  if (!this._events || !this._events[type]) return this;
+
+  list = this._events[type];
+  length = list.length;
+  position = -1;
+
+  if (list === listener || isFunction(list.listener) && list.listener === listener) {
+    delete this._events[type];
+    if (this._events.removeListener) this.emit('removeListener', type, listener);
+  } else if (isObject(list)) {
+    for (i = length; i-- > 0;) {
+      if (list[i] === listener || list[i].listener && list[i].listener === listener) {
+        position = i;
+        break;
+      }
+    }
+
+    if (position < 0) return this;
+
+    if (list.length === 1) {
+      list.length = 0;
+      delete this._events[type];
+    } else {
+      list.splice(position, 1);
+    }
+
+    if (this._events.removeListener) this.emit('removeListener', type, listener);
+  }
+
+  return this;
+};
+
+EventEmitter.prototype.removeAllListeners = function (type) {
+  var key, listeners;
+
+  if (!this._events) return this;
+
+  // not listening for removeListener, no need to emit
+  if (!this._events.removeListener) {
+    if (arguments.length === 0) this._events = {};else if (this._events[type]) delete this._events[type];
+    return this;
+  }
+
+  // emit removeListener for all listeners on all events
+  if (arguments.length === 0) {
+    for (key in this._events) {
+      if (key === 'removeListener') continue;
+      this.removeAllListeners(key);
+    }
+    this.removeAllListeners('removeListener');
+    this._events = {};
+    return this;
+  }
+
+  listeners = this._events[type];
+
+  if (isFunction(listeners)) {
+    this.removeListener(type, listeners);
+  } else if (listeners) {
+    // LIFO order
+    while (listeners.length) this.removeListener(type, listeners[listeners.length - 1]);
+  }
+  delete this._events[type];
+
+  return this;
+};
+
+EventEmitter.prototype.listeners = function (type) {
+  var ret;
+  if (!this._events || !this._events[type]) ret = [];else if (isFunction(this._events[type])) ret = [this._events[type]];else ret = this._events[type].slice();
+  return ret;
+};
+
+EventEmitter.prototype.listenerCount = function (type) {
+  if (this._events) {
+    var evlistener = this._events[type];
+
+    if (isFunction(evlistener)) return 1;else if (evlistener) return evlistener.length;
+  }
+  return 0;
+};
+
+EventEmitter.listenerCount = function (emitter, type) {
+  return emitter.listenerCount(type);
+};
+
+function isFunction(arg) {
+  return typeof arg === 'function';
+}
+
+function isNumber(arg) {
+  return typeof arg === 'number';
+}
+
+function isObject(arg) {
+  return typeof arg === 'object' && arg !== null;
+}
+
+function isUndefined(arg) {
+  return arg === void 0;
+}
+},{}],170:[function(require,module,exports) {
+var process = require("process");
+'use strict';
+
+if (!process.version ||
+    process.version.indexOf('v0.') === 0 ||
+    process.version.indexOf('v1.') === 0 && process.version.indexOf('v1.8.') !== 0) {
+  module.exports = { nextTick: nextTick };
+} else {
+  module.exports = process
+}
+
+function nextTick(fn, arg1, arg2, arg3) {
+  if (typeof fn !== 'function') {
+    throw new TypeError('"callback" argument must be a function');
+  }
+  var len = arguments.length;
+  var args, i;
+  switch (len) {
+  case 0:
+  case 1:
+    return process.nextTick(fn);
+  case 2:
+    return process.nextTick(function afterTickOne() {
+      fn.call(null, arg1);
+    });
+  case 3:
+    return process.nextTick(function afterTickTwo() {
+      fn.call(null, arg1, arg2);
+    });
+  case 4:
+    return process.nextTick(function afterTickThree() {
+      fn.call(null, arg1, arg2, arg3);
+    });
+  default:
+    args = new Array(len - 1);
+    i = 0;
+    while (i < args.length) {
+      args[i++] = arguments[i];
+    }
+    return process.nextTick(function afterTick() {
+      fn.apply(null, args);
+    });
+  }
+}
+
+
+},{"process":6}],187:[function(require,module,exports) {
+module.exports = require('events').EventEmitter;
+
+},{"events":133}],169:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+// NOTE: These type checking functions intentionally don't use `instanceof`
+// because it is fragile and can be easily faked with `Object.create()`.
+
+function isArray(arg) {
+  if (Array.isArray) {
+    return Array.isArray(arg);
+  }
+  return objectToString(arg) === '[object Array]';
+}
+exports.isArray = isArray;
+
+function isBoolean(arg) {
+  return typeof arg === 'boolean';
+}
+exports.isBoolean = isBoolean;
+
+function isNull(arg) {
+  return arg === null;
+}
+exports.isNull = isNull;
+
+function isNullOrUndefined(arg) {
+  return arg == null;
+}
+exports.isNullOrUndefined = isNullOrUndefined;
+
+function isNumber(arg) {
+  return typeof arg === 'number';
+}
+exports.isNumber = isNumber;
+
+function isString(arg) {
+  return typeof arg === 'string';
+}
+exports.isString = isString;
+
+function isSymbol(arg) {
+  return typeof arg === 'symbol';
+}
+exports.isSymbol = isSymbol;
+
+function isUndefined(arg) {
+  return arg === void 0;
+}
+exports.isUndefined = isUndefined;
+
+function isRegExp(re) {
+  return objectToString(re) === '[object RegExp]';
+}
+exports.isRegExp = isRegExp;
+
+function isObject(arg) {
+  return typeof arg === 'object' && arg !== null;
+}
+exports.isObject = isObject;
+
+function isDate(d) {
+  return objectToString(d) === '[object Date]';
+}
+exports.isDate = isDate;
+
+function isError(e) {
+  return (objectToString(e) === '[object Error]' || e instanceof Error);
+}
+exports.isError = isError;
+
+function isFunction(arg) {
+  return typeof arg === 'function';
+}
+exports.isFunction = isFunction;
+
+function isPrimitive(arg) {
+  return arg === null ||
+         typeof arg === 'boolean' ||
+         typeof arg === 'number' ||
+         typeof arg === 'string' ||
+         typeof arg === 'symbol' ||  // ES6 symbol
+         typeof arg === 'undefined';
+}
+exports.isPrimitive = isPrimitive;
+
+exports.isBuffer = Buffer.isBuffer;
+
+function objectToString(o) {
+  return Object.prototype.toString.call(o);
+}
+
+},{"buffer":62}],159:[function(require,module,exports) {
+
+},{}],195:[function(require,module,exports) {
+
+'use strict';
+
+function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
+
+var Buffer = require('safe-buffer').Buffer;
+var util = require('util');
+
+function copyBuffer(src, target, offset) {
+  src.copy(target, offset);
+}
+
+module.exports = function () {
+  function BufferList() {
+    _classCallCheck(this, BufferList);
+
+    this.head = null;
+    this.tail = null;
+    this.length = 0;
+  }
+
+  BufferList.prototype.push = function push(v) {
+    var entry = { data: v, next: null };
+    if (this.length > 0) this.tail.next = entry;else this.head = entry;
+    this.tail = entry;
+    ++this.length;
+  };
+
+  BufferList.prototype.unshift = function unshift(v) {
+    var entry = { data: v, next: this.head };
+    if (this.length === 0) this.tail = entry;
+    this.head = entry;
+    ++this.length;
+  };
+
+  BufferList.prototype.shift = function shift() {
+    if (this.length === 0) return;
+    var ret = this.head.data;
+    if (this.length === 1) this.head = this.tail = null;else this.head = this.head.next;
+    --this.length;
+    return ret;
+  };
+
+  BufferList.prototype.clear = function clear() {
+    this.head = this.tail = null;
+    this.length = 0;
+  };
+
+  BufferList.prototype.join = function join(s) {
+    if (this.length === 0) return '';
+    var p = this.head;
+    var ret = '' + p.data;
+    while (p = p.next) {
+      ret += s + p.data;
+    }return ret;
+  };
+
+  BufferList.prototype.concat = function concat(n) {
+    if (this.length === 0) return Buffer.alloc(0);
+    if (this.length === 1) return this.head.data;
+    var ret = Buffer.allocUnsafe(n >>> 0);
+    var p = this.head;
+    var i = 0;
+    while (p) {
+      copyBuffer(p.data, ret, i);
+      i += p.data.length;
+      p = p.next;
+    }
+    return ret;
+  };
+
+  return BufferList;
+}();
+
+if (util && util.inspect && util.inspect.custom) {
+  module.exports.prototype[util.inspect.custom] = function () {
+    var obj = util.inspect({ length: this.length });
+    return this.constructor.name + ' ' + obj;
+  };
+}
+},{"safe-buffer":98,"util":159}],188:[function(require,module,exports) {
+'use strict';
+
+/*<replacement>*/
+
+var pna = require('process-nextick-args');
+/*</replacement>*/
+
+// undocumented cb() API, needed for core, not for public API
+function destroy(err, cb) {
+  var _this = this;
+
+  var readableDestroyed = this._readableState && this._readableState.destroyed;
+  var writableDestroyed = this._writableState && this._writableState.destroyed;
+
+  if (readableDestroyed || writableDestroyed) {
+    if (cb) {
+      cb(err);
+    } else if (err && (!this._writableState || !this._writableState.errorEmitted)) {
+      pna.nextTick(emitErrorNT, this, err);
+    }
+    return this;
+  }
+
+  // we set destroyed to true before firing error callbacks in order
+  // to make it re-entrance safe in case destroy() is called within callbacks
+
+  if (this._readableState) {
+    this._readableState.destroyed = true;
+  }
+
+  // if this is a duplex stream mark the writable part as destroyed as well
+  if (this._writableState) {
+    this._writableState.destroyed = true;
+  }
+
+  this._destroy(err || null, function (err) {
+    if (!cb && err) {
+      pna.nextTick(emitErrorNT, _this, err);
+      if (_this._writableState) {
+        _this._writableState.errorEmitted = true;
+      }
+    } else if (cb) {
+      cb(err);
+    }
+  });
+
+  return this;
+}
+
+function undestroy() {
+  if (this._readableState) {
+    this._readableState.destroyed = false;
+    this._readableState.reading = false;
+    this._readableState.ended = false;
+    this._readableState.endEmitted = false;
+  }
+
+  if (this._writableState) {
+    this._writableState.destroyed = false;
+    this._writableState.ended = false;
+    this._writableState.ending = false;
+    this._writableState.finished = false;
+    this._writableState.errorEmitted = false;
+  }
+}
+
+function emitErrorNT(self, err) {
+  self.emit('error', err);
+}
+
+module.exports = {
+  destroy: destroy,
+  undestroy: undestroy
+};
+},{"process-nextick-args":170}],189:[function(require,module,exports) {
+var global = arguments[3];
+
+/**
+ * Module exports.
+ */
+
+module.exports = deprecate;
+
+/**
+ * Mark that a method should not be used.
+ * Returns a modified function which warns once by default.
+ *
+ * If `localStorage.noDeprecation = true` is set, then it is a no-op.
+ *
+ * If `localStorage.throwDeprecation = true` is set, then deprecated functions
+ * will throw an Error when invoked.
+ *
+ * If `localStorage.traceDeprecation = true` is set, then deprecated functions
+ * will invoke `console.trace()` instead of `console.error()`.
+ *
+ * @param {Function} fn - the function to deprecate
+ * @param {String} msg - the string to print to the console when `fn` is invoked
+ * @returns {Function} a new "deprecated" version of `fn`
+ * @api public
+ */
+
+function deprecate (fn, msg) {
+  if (config('noDeprecation')) {
+    return fn;
+  }
+
+  var warned = false;
+  function deprecated() {
+    if (!warned) {
+      if (config('throwDeprecation')) {
+        throw new Error(msg);
+      } else if (config('traceDeprecation')) {
+        console.trace(msg);
+      } else {
+        console.warn(msg);
+      }
+      warned = true;
+    }
+    return fn.apply(this, arguments);
+  }
+
+  return deprecated;
+}
+
+/**
+ * Checks `localStorage` for boolean values for the given `name`.
+ *
+ * @param {String} name
+ * @returns {Boolean}
+ * @api private
+ */
+
+function config (name) {
+  // accessing global.localStorage can trigger a DOMException in sandboxed iframes
+  try {
+    if (!global.localStorage) return false;
+  } catch (_) {
+    return false;
+  }
+  var val = global.localStorage[name];
+  if (null == val) return false;
+  return String(val).toLowerCase() === 'true';
+}
+
+},{}],150:[function(require,module,exports) {
+var process = require("process");
+
+var global = arguments[3];
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+// A bit simpler than readable streams.
+// Implement an async ._write(chunk, encoding, cb), and it'll handle all
+// the drain event emission and buffering.
+
+'use strict';
+
+/*<replacement>*/
+
+var pna = require('process-nextick-args');
+/*</replacement>*/
+
+module.exports = Writable;
+
+/* <replacement> */
+function WriteReq(chunk, encoding, cb) {
+  this.chunk = chunk;
+  this.encoding = encoding;
+  this.callback = cb;
+  this.next = null;
+}
+
+// It seems a linked list but it is not
+// there will be only 2 of these for each stream
+function CorkedRequest(state) {
+  var _this = this;
+
+  this.next = null;
+  this.entry = null;
+  this.finish = function () {
+    onCorkedFinish(_this, state);
+  };
+}
+/* </replacement> */
+
+/*<replacement>*/
+var asyncWrite = !process.browser && ['v0.10', 'v0.9.'].indexOf(process.version.slice(0, 5)) > -1 ? setImmediate : pna.nextTick;
+/*</replacement>*/
+
+/*<replacement>*/
+var Duplex;
+/*</replacement>*/
+
+Writable.WritableState = WritableState;
+
+/*<replacement>*/
+var util = require('core-util-is');
+util.inherits = require('inherits');
+/*</replacement>*/
+
+/*<replacement>*/
+var internalUtil = {
+  deprecate: require('util-deprecate')
+};
+/*</replacement>*/
+
+/*<replacement>*/
+var Stream = require('./internal/streams/stream');
+/*</replacement>*/
+
+/*<replacement>*/
+
+var Buffer = require('safe-buffer').Buffer;
+var OurUint8Array = global.Uint8Array || function () {};
+function _uint8ArrayToBuffer(chunk) {
+  return Buffer.from(chunk);
+}
+function _isUint8Array(obj) {
+  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;
+}
+
+/*</replacement>*/
+
+var destroyImpl = require('./internal/streams/destroy');
+
+util.inherits(Writable, Stream);
+
+function nop() {}
+
+function WritableState(options, stream) {
+  Duplex = Duplex || require('./_stream_duplex');
+
+  options = options || {};
+
+  // Duplex streams are both readable and writable, but share
+  // the same options object.
+  // However, some cases require setting options to different
+  // values for the readable and the writable sides of the duplex stream.
+  // These options can be provided separately as readableXXX and writableXXX.
+  var isDuplex = stream instanceof Duplex;
+
+  // object stream flag to indicate whether or not this stream
+  // contains buffers or objects.
+  this.objectMode = !!options.objectMode;
+
+  if (isDuplex) this.objectMode = this.objectMode || !!options.writableObjectMode;
+
+  // the point at which write() starts returning false
+  // Note: 0 is a valid value, means that we always return false if
+  // the entire buffer is not flushed immediately on write()
+  var hwm = options.highWaterMark;
+  var writableHwm = options.writableHighWaterMark;
+  var defaultHwm = this.objectMode ? 16 : 16 * 1024;
+
+  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (writableHwm || writableHwm === 0)) this.highWaterMark = writableHwm;else this.highWaterMark = defaultHwm;
+
+  // cast to ints.
+  this.highWaterMark = Math.floor(this.highWaterMark);
+
+  // if _final has been called
+  this.finalCalled = false;
+
+  // drain event flag.
+  this.needDrain = false;
+  // at the start of calling end()
+  this.ending = false;
+  // when end() has been called, and returned
+  this.ended = false;
+  // when 'finish' is emitted
+  this.finished = false;
+
+  // has it been destroyed
+  this.destroyed = false;
+
+  // should we decode strings into buffers before passing to _write?
+  // this is here so that some node-core streams can optimize string
+  // handling at a lower level.
+  var noDecode = options.decodeStrings === false;
+  this.decodeStrings = !noDecode;
+
+  // Crypto is kind of old and crusty.  Historically, its default string
+  // encoding is 'binary' so we have to make this configurable.
+  // Everything else in the universe uses 'utf8', though.
+  this.defaultEncoding = options.defaultEncoding || 'utf8';
+
+  // not an actual buffer we keep track of, but a measurement
+  // of how much we're waiting to get pushed to some underlying
+  // socket or file.
+  this.length = 0;
+
+  // a flag to see when we're in the middle of a write.
+  this.writing = false;
+
+  // when true all writes will be buffered until .uncork() call
+  this.corked = 0;
+
+  // a flag to be able to tell if the onwrite cb is called immediately,
+  // or on a later tick.  We set this to true at first, because any
+  // actions that shouldn't happen until "later" should generally also
+  // not happen before the first write call.
+  this.sync = true;
+
+  // a flag to know if we're processing previously buffered items, which
+  // may call the _write() callback in the same tick, so that we don't
+  // end up in an overlapped onwrite situation.
+  this.bufferProcessing = false;
+
+  // the callback that's passed to _write(chunk,cb)
+  this.onwrite = function (er) {
+    onwrite(stream, er);
+  };
+
+  // the callback that the user supplies to write(chunk,encoding,cb)
+  this.writecb = null;
+
+  // the amount that is being written when _write is called.
+  this.writelen = 0;
+
+  this.bufferedRequest = null;
+  this.lastBufferedRequest = null;
+
+  // number of pending user-supplied write callbacks
+  // this must be 0 before 'finish' can be emitted
+  this.pendingcb = 0;
+
+  // emit prefinish if the only thing we're waiting for is _write cbs
+  // This is relevant for synchronous Transform streams
+  this.prefinished = false;
+
+  // True if the error was already emitted and should not be thrown again
+  this.errorEmitted = false;
+
+  // count buffered requests
+  this.bufferedRequestCount = 0;
+
+  // allocate the first CorkedRequest, there is always
+  // one allocated and free to use, and we maintain at most two
+  this.corkedRequestsFree = new CorkedRequest(this);
+}
+
+WritableState.prototype.getBuffer = function getBuffer() {
+  var current = this.bufferedRequest;
+  var out = [];
+  while (current) {
+    out.push(current);
+    current = current.next;
+  }
+  return out;
+};
+
+(function () {
+  try {
+    Object.defineProperty(WritableState.prototype, 'buffer', {
+      get: internalUtil.deprecate(function () {
+        return this.getBuffer();
+      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')
+    });
+  } catch (_) {}
+})();
+
+// Test _writableState for inheritance to account for Duplex streams,
+// whose prototype chain only points to Readable.
+var realHasInstance;
+if (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {
+  realHasInstance = Function.prototype[Symbol.hasInstance];
+  Object.defineProperty(Writable, Symbol.hasInstance, {
+    value: function (object) {
+      if (realHasInstance.call(this, object)) return true;
+      if (this !== Writable) return false;
+
+      return object && object._writableState instanceof WritableState;
+    }
+  });
+} else {
+  realHasInstance = function (object) {
+    return object instanceof this;
+  };
+}
+
+function Writable(options) {
+  Duplex = Duplex || require('./_stream_duplex');
+
+  // Writable ctor is applied to Duplexes, too.
+  // `realHasInstance` is necessary because using plain `instanceof`
+  // would return false, as no `_writableState` property is attached.
+
+  // Trying to use the custom `instanceof` for Writable here will also break the
+  // Node.js LazyTransform implementation, which has a non-trivial getter for
+  // `_writableState` that would lead to infinite recursion.
+  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {
+    return new Writable(options);
+  }
+
+  this._writableState = new WritableState(options, this);
+
+  // legacy.
+  this.writable = true;
+
+  if (options) {
+    if (typeof options.write === 'function') this._write = options.write;
+
+    if (typeof options.writev === 'function') this._writev = options.writev;
+
+    if (typeof options.destroy === 'function') this._destroy = options.destroy;
+
+    if (typeof options.final === 'function') this._final = options.final;
+  }
+
+  Stream.call(this);
+}
+
+// Otherwise people can pipe Writable streams, which is just wrong.
+Writable.prototype.pipe = function () {
+  this.emit('error', new Error('Cannot pipe, not readable'));
+};
+
+function writeAfterEnd(stream, cb) {
+  var er = new Error('write after end');
+  // TODO: defer error events consistently everywhere, not just the cb
+  stream.emit('error', er);
+  pna.nextTick(cb, er);
+}
+
+// Checks that a user-supplied chunk is valid, especially for the particular
+// mode the stream is in. Currently this means that `null` is never accepted
+// and undefined/non-string values are only allowed in object mode.
+function validChunk(stream, state, chunk, cb) {
+  var valid = true;
+  var er = false;
+
+  if (chunk === null) {
+    er = new TypeError('May not write null values to stream');
+  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {
+    er = new TypeError('Invalid non-string/buffer chunk');
+  }
+  if (er) {
+    stream.emit('error', er);
+    pna.nextTick(cb, er);
+    valid = false;
+  }
+  return valid;
+}
+
+Writable.prototype.write = function (chunk, encoding, cb) {
+  var state = this._writableState;
+  var ret = false;
+  var isBuf = !state.objectMode && _isUint8Array(chunk);
+
+  if (isBuf && !Buffer.isBuffer(chunk)) {
+    chunk = _uint8ArrayToBuffer(chunk);
+  }
+
+  if (typeof encoding === 'function') {
+    cb = encoding;
+    encoding = null;
+  }
+
+  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;
+
+  if (typeof cb !== 'function') cb = nop;
+
+  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {
+    state.pendingcb++;
+    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);
+  }
+
+  return ret;
+};
+
+Writable.prototype.cork = function () {
+  var state = this._writableState;
+
+  state.corked++;
+};
+
+Writable.prototype.uncork = function () {
+  var state = this._writableState;
+
+  if (state.corked) {
+    state.corked--;
+
+    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);
+  }
+};
+
+Writable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {
+  // node::ParseEncoding() requires lower case.
+  if (typeof encoding === 'string') encoding = encoding.toLowerCase();
+  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);
+  this._writableState.defaultEncoding = encoding;
+  return this;
+};
+
+function decodeChunk(state, chunk, encoding) {
+  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {
+    chunk = Buffer.from(chunk, encoding);
+  }
+  return chunk;
+}
+
+Object.defineProperty(Writable.prototype, 'writableHighWaterMark', {
+  // making it explicit this property is not enumerable
+  // because otherwise some prototype manipulation in
+  // userland will fail
+  enumerable: false,
+  get: function () {
+    return this._writableState.highWaterMark;
+  }
+});
+
+// if we're already writing something, then just put this
+// in the queue, and wait our turn.  Otherwise, call _write
+// If we return false, then we need a drain event, so set that flag.
+function writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {
+  if (!isBuf) {
+    var newChunk = decodeChunk(state, chunk, encoding);
+    if (chunk !== newChunk) {
+      isBuf = true;
+      encoding = 'buffer';
+      chunk = newChunk;
+    }
+  }
+  var len = state.objectMode ? 1 : chunk.length;
+
+  state.length += len;
+
+  var ret = state.length < state.highWaterMark;
+  // we must ensure that previous needDrain will not be reset to false.
+  if (!ret) state.needDrain = true;
+
+  if (state.writing || state.corked) {
+    var last = state.lastBufferedRequest;
+    state.lastBufferedRequest = {
+      chunk: chunk,
+      encoding: encoding,
+      isBuf: isBuf,
+      callback: cb,
+      next: null
+    };
+    if (last) {
+      last.next = state.lastBufferedRequest;
+    } else {
+      state.bufferedRequest = state.lastBufferedRequest;
+    }
+    state.bufferedRequestCount += 1;
+  } else {
+    doWrite(stream, state, false, len, chunk, encoding, cb);
+  }
+
+  return ret;
+}
+
+function doWrite(stream, state, writev, len, chunk, encoding, cb) {
+  state.writelen = len;
+  state.writecb = cb;
+  state.writing = true;
+  state.sync = true;
+  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);
+  state.sync = false;
+}
+
+function onwriteError(stream, state, sync, er, cb) {
+  --state.pendingcb;
+
+  if (sync) {
+    // defer the callback if we are being called synchronously
+    // to avoid piling up things on the stack
+    pna.nextTick(cb, er);
+    // this can emit finish, and it will always happen
+    // after error
+    pna.nextTick(finishMaybe, stream, state);
+    stream._writableState.errorEmitted = true;
+    stream.emit('error', er);
+  } else {
+    // the caller expect this to happen before if
+    // it is async
+    cb(er);
+    stream._writableState.errorEmitted = true;
+    stream.emit('error', er);
+    // this can emit finish, but finish must
+    // always follow error
+    finishMaybe(stream, state);
+  }
+}
+
+function onwriteStateUpdate(state) {
+  state.writing = false;
+  state.writecb = null;
+  state.length -= state.writelen;
+  state.writelen = 0;
+}
+
+function onwrite(stream, er) {
+  var state = stream._writableState;
+  var sync = state.sync;
+  var cb = state.writecb;
+
+  onwriteStateUpdate(state);
+
+  if (er) onwriteError(stream, state, sync, er, cb);else {
+    // Check if we're actually ready to finish, but don't emit yet
+    var finished = needFinish(state);
+
+    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {
+      clearBuffer(stream, state);
+    }
+
+    if (sync) {
+      /*<replacement>*/
+      asyncWrite(afterWrite, stream, state, finished, cb);
+      /*</replacement>*/
+    } else {
+      afterWrite(stream, state, finished, cb);
+    }
+  }
+}
+
+function afterWrite(stream, state, finished, cb) {
+  if (!finished) onwriteDrain(stream, state);
+  state.pendingcb--;
+  cb();
+  finishMaybe(stream, state);
+}
+
+// Must force callback to be called on nextTick, so that we don't
+// emit 'drain' before the write() consumer gets the 'false' return
+// value, and has a chance to attach a 'drain' listener.
+function onwriteDrain(stream, state) {
+  if (state.length === 0 && state.needDrain) {
+    state.needDrain = false;
+    stream.emit('drain');
+  }
+}
+
+// if there's something in the buffer waiting, then process it
+function clearBuffer(stream, state) {
+  state.bufferProcessing = true;
+  var entry = state.bufferedRequest;
+
+  if (stream._writev && entry && entry.next) {
+    // Fast case, write everything using _writev()
+    var l = state.bufferedRequestCount;
+    var buffer = new Array(l);
+    var holder = state.corkedRequestsFree;
+    holder.entry = entry;
+
+    var count = 0;
+    var allBuffers = true;
+    while (entry) {
+      buffer[count] = entry;
+      if (!entry.isBuf) allBuffers = false;
+      entry = entry.next;
+      count += 1;
+    }
+    buffer.allBuffers = allBuffers;
+
+    doWrite(stream, state, true, state.length, buffer, '', holder.finish);
+
+    // doWrite is almost always async, defer these to save a bit of time
+    // as the hot path ends with doWrite
+    state.pendingcb++;
+    state.lastBufferedRequest = null;
+    if (holder.next) {
+      state.corkedRequestsFree = holder.next;
+      holder.next = null;
+    } else {
+      state.corkedRequestsFree = new CorkedRequest(state);
+    }
+    state.bufferedRequestCount = 0;
+  } else {
+    // Slow case, write chunks one-by-one
+    while (entry) {
+      var chunk = entry.chunk;
+      var encoding = entry.encoding;
+      var cb = entry.callback;
+      var len = state.objectMode ? 1 : chunk.length;
+
+      doWrite(stream, state, false, len, chunk, encoding, cb);
+      entry = entry.next;
+      state.bufferedRequestCount--;
+      // if we didn't call the onwrite immediately, then
+      // it means that we need to wait until it does.
+      // also, that means that the chunk and cb are currently
+      // being processed, so move the buffer counter past them.
+      if (state.writing) {
+        break;
+      }
+    }
+
+    if (entry === null) state.lastBufferedRequest = null;
+  }
+
+  state.bufferedRequest = entry;
+  state.bufferProcessing = false;
+}
+
+Writable.prototype._write = function (chunk, encoding, cb) {
+  cb(new Error('_write() is not implemented'));
+};
+
+Writable.prototype._writev = null;
+
+Writable.prototype.end = function (chunk, encoding, cb) {
+  var state = this._writableState;
+
+  if (typeof chunk === 'function') {
+    cb = chunk;
+    chunk = null;
+    encoding = null;
+  } else if (typeof encoding === 'function') {
+    cb = encoding;
+    encoding = null;
+  }
+
+  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);
+
+  // .end() fully uncorks
+  if (state.corked) {
+    state.corked = 1;
+    this.uncork();
+  }
+
+  // ignore unnecessary end() calls.
+  if (!state.ending && !state.finished) endWritable(this, state, cb);
+};
+
+function needFinish(state) {
+  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;
+}
+function callFinal(stream, state) {
+  stream._final(function (err) {
+    state.pendingcb--;
+    if (err) {
+      stream.emit('error', err);
+    }
+    state.prefinished = true;
+    stream.emit('prefinish');
+    finishMaybe(stream, state);
+  });
+}
+function prefinish(stream, state) {
+  if (!state.prefinished && !state.finalCalled) {
+    if (typeof stream._final === 'function') {
+      state.pendingcb++;
+      state.finalCalled = true;
+      pna.nextTick(callFinal, stream, state);
+    } else {
+      state.prefinished = true;
+      stream.emit('prefinish');
+    }
+  }
+}
+
+function finishMaybe(stream, state) {
+  var need = needFinish(state);
+  if (need) {
+    prefinish(stream, state);
+    if (state.pendingcb === 0) {
+      state.finished = true;
+      stream.emit('finish');
+    }
+  }
+  return need;
+}
+
+function endWritable(stream, state, cb) {
+  state.ending = true;
+  finishMaybe(stream, state);
+  if (cb) {
+    if (state.finished) pna.nextTick(cb);else stream.once('finish', cb);
+  }
+  state.ended = true;
+  stream.writable = false;
+}
+
+function onCorkedFinish(corkReq, state, err) {
+  var entry = corkReq.entry;
+  corkReq.entry = null;
+  while (entry) {
+    var cb = entry.callback;
+    state.pendingcb--;
+    cb(err);
+    entry = entry.next;
+  }
+  if (state.corkedRequestsFree) {
+    state.corkedRequestsFree.next = corkReq;
+  } else {
+    state.corkedRequestsFree = corkReq;
+  }
+}
+
+Object.defineProperty(Writable.prototype, 'destroyed', {
+  get: function () {
+    if (this._writableState === undefined) {
+      return false;
+    }
+    return this._writableState.destroyed;
+  },
+  set: function (value) {
+    // we ignore the value if the stream
+    // has not been initialized yet
+    if (!this._writableState) {
+      return;
+    }
+
+    // backward compatibility, the user is explicitly
+    // managing destroyed
+    this._writableState.destroyed = value;
+  }
+});
+
+Writable.prototype.destroy = destroyImpl.destroy;
+Writable.prototype._undestroy = destroyImpl.undestroy;
+Writable.prototype._destroy = function (err, cb) {
+  this.end();
+  cb(err);
+};
+},{"process-nextick-args":170,"core-util-is":169,"inherits":97,"util-deprecate":189,"./internal/streams/stream":187,"safe-buffer":98,"./internal/streams/destroy":188,"./_stream_duplex":149,"process":6}],149:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+// a duplex stream is just a stream that is both readable and writable.
+// Since JS doesn't have multiple prototypal inheritance, this class
+// prototypally inherits from Readable, and then parasitically from
+// Writable.
+
+'use strict';
+
+/*<replacement>*/
+
+var pna = require('process-nextick-args');
+/*</replacement>*/
+
+/*<replacement>*/
+var objectKeys = Object.keys || function (obj) {
+  var keys = [];
+  for (var key in obj) {
+    keys.push(key);
+  }return keys;
+};
+/*</replacement>*/
+
+module.exports = Duplex;
+
+/*<replacement>*/
+var util = require('core-util-is');
+util.inherits = require('inherits');
+/*</replacement>*/
+
+var Readable = require('./_stream_readable');
+var Writable = require('./_stream_writable');
+
+util.inherits(Duplex, Readable);
+
+{
+  // avoid scope creep, the keys array can then be collected
+  var keys = objectKeys(Writable.prototype);
+  for (var v = 0; v < keys.length; v++) {
+    var method = keys[v];
+    if (!Duplex.prototype[method]) Duplex.prototype[method] = Writable.prototype[method];
+  }
+}
+
+function Duplex(options) {
+  if (!(this instanceof Duplex)) return new Duplex(options);
+
+  Readable.call(this, options);
+  Writable.call(this, options);
+
+  if (options && options.readable === false) this.readable = false;
+
+  if (options && options.writable === false) this.writable = false;
+
+  this.allowHalfOpen = true;
+  if (options && options.allowHalfOpen === false) this.allowHalfOpen = false;
+
+  this.once('end', onend);
+}
+
+Object.defineProperty(Duplex.prototype, 'writableHighWaterMark', {
+  // making it explicit this property is not enumerable
+  // because otherwise some prototype manipulation in
+  // userland will fail
+  enumerable: false,
+  get: function () {
+    return this._writableState.highWaterMark;
+  }
+});
+
+// the no-half-open enforcer
+function onend() {
+  // if we allow half-open state, or if the writable side ended,
+  // then we're ok.
+  if (this.allowHalfOpen || this._writableState.ended) return;
+
+  // no more data can be written.
+  // But allow more writes to happen in this tick.
+  pna.nextTick(onEndNT, this);
+}
+
+function onEndNT(self) {
+  self.end();
+}
+
+Object.defineProperty(Duplex.prototype, 'destroyed', {
+  get: function () {
+    if (this._readableState === undefined || this._writableState === undefined) {
+      return false;
+    }
+    return this._readableState.destroyed && this._writableState.destroyed;
+  },
+  set: function (value) {
+    // we ignore the value if the stream
+    // has not been initialized yet
+    if (this._readableState === undefined || this._writableState === undefined) {
+      return;
+    }
+
+    // backward compatibility, the user is explicitly
+    // managing destroyed
+    this._readableState.destroyed = value;
+    this._writableState.destroyed = value;
+  }
+});
+
+Duplex.prototype._destroy = function (err, cb) {
+  this.push(null);
+  this.end();
+
+  pna.nextTick(cb, err);
+};
+},{"process-nextick-args":170,"core-util-is":169,"inherits":97,"./_stream_readable":148,"./_stream_writable":150}],128:[function(require,module,exports) {
+
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+'use strict';
+
+/*<replacement>*/
+
+var Buffer = require('safe-buffer').Buffer;
+/*</replacement>*/
+
+var isEncoding = Buffer.isEncoding || function (encoding) {
+  encoding = '' + encoding;
+  switch (encoding && encoding.toLowerCase()) {
+    case 'hex':case 'utf8':case 'utf-8':case 'ascii':case 'binary':case 'base64':case 'ucs2':case 'ucs-2':case 'utf16le':case 'utf-16le':case 'raw':
+      return true;
+    default:
+      return false;
+  }
+};
+
+function _normalizeEncoding(enc) {
+  if (!enc) return 'utf8';
+  var retried;
+  while (true) {
+    switch (enc) {
+      case 'utf8':
+      case 'utf-8':
+        return 'utf8';
+      case 'ucs2':
+      case 'ucs-2':
+      case 'utf16le':
+      case 'utf-16le':
+        return 'utf16le';
+      case 'latin1':
+      case 'binary':
+        return 'latin1';
+      case 'base64':
+      case 'ascii':
+      case 'hex':
+        return enc;
+      default:
+        if (retried) return; // undefined
+        enc = ('' + enc).toLowerCase();
+        retried = true;
+    }
+  }
+};
+
+// Do not cache `Buffer.isEncoding` when checking encoding names as some
+// modules monkey-patch it to support additional encodings
+function normalizeEncoding(enc) {
+  var nenc = _normalizeEncoding(enc);
+  if (typeof nenc !== 'string' && (Buffer.isEncoding === isEncoding || !isEncoding(enc))) throw new Error('Unknown encoding: ' + enc);
+  return nenc || enc;
+}
+
+// StringDecoder provides an interface for efficiently splitting a series of
+// buffers into a series of JS strings without breaking apart multi-byte
+// characters.
+exports.StringDecoder = StringDecoder;
+function StringDecoder(encoding) {
+  this.encoding = normalizeEncoding(encoding);
+  var nb;
+  switch (this.encoding) {
+    case 'utf16le':
+      this.text = utf16Text;
+      this.end = utf16End;
+      nb = 4;
+      break;
+    case 'utf8':
+      this.fillLast = utf8FillLast;
+      nb = 4;
+      break;
+    case 'base64':
+      this.text = base64Text;
+      this.end = base64End;
+      nb = 3;
+      break;
+    default:
+      this.write = simpleWrite;
+      this.end = simpleEnd;
+      return;
+  }
+  this.lastNeed = 0;
+  this.lastTotal = 0;
+  this.lastChar = Buffer.allocUnsafe(nb);
+}
+
+StringDecoder.prototype.write = function (buf) {
+  if (buf.length === 0) return '';
+  var r;
+  var i;
+  if (this.lastNeed) {
+    r = this.fillLast(buf);
+    if (r === undefined) return '';
+    i = this.lastNeed;
+    this.lastNeed = 0;
+  } else {
+    i = 0;
+  }
+  if (i < buf.length) return r ? r + this.text(buf, i) : this.text(buf, i);
+  return r || '';
+};
+
+StringDecoder.prototype.end = utf8End;
+
+// Returns only complete characters in a Buffer
+StringDecoder.prototype.text = utf8Text;
+
+// Attempts to complete a partial non-UTF-8 character using bytes from a Buffer
+StringDecoder.prototype.fillLast = function (buf) {
+  if (this.lastNeed <= buf.length) {
+    buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, this.lastNeed);
+    return this.lastChar.toString(this.encoding, 0, this.lastTotal);
+  }
+  buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, buf.length);
+  this.lastNeed -= buf.length;
+};
+
+// Checks the type of a UTF-8 byte, whether it's ASCII, a leading byte, or a
+// continuation byte. If an invalid byte is detected, -2 is returned.
+function utf8CheckByte(byte) {
+  if (byte <= 0x7F) return 0;else if (byte >> 5 === 0x06) return 2;else if (byte >> 4 === 0x0E) return 3;else if (byte >> 3 === 0x1E) return 4;
+  return byte >> 6 === 0x02 ? -1 : -2;
+}
+
+// Checks at most 3 bytes at the end of a Buffer in order to detect an
+// incomplete multi-byte UTF-8 character. The total number of bytes (2, 3, or 4)
+// needed to complete the UTF-8 character (if applicable) are returned.
+function utf8CheckIncomplete(self, buf, i) {
+  var j = buf.length - 1;
+  if (j < i) return 0;
+  var nb = utf8CheckByte(buf[j]);
+  if (nb >= 0) {
+    if (nb > 0) self.lastNeed = nb - 1;
+    return nb;
+  }
+  if (--j < i || nb === -2) return 0;
+  nb = utf8CheckByte(buf[j]);
+  if (nb >= 0) {
+    if (nb > 0) self.lastNeed = nb - 2;
+    return nb;
+  }
+  if (--j < i || nb === -2) return 0;
+  nb = utf8CheckByte(buf[j]);
+  if (nb >= 0) {
+    if (nb > 0) {
+      if (nb === 2) nb = 0;else self.lastNeed = nb - 3;
+    }
+    return nb;
+  }
+  return 0;
+}
+
+// Validates as many continuation bytes for a multi-byte UTF-8 character as
+// needed or are available. If we see a non-continuation byte where we expect
+// one, we "replace" the validated continuation bytes we've seen so far with
+// a single UTF-8 replacement character ('\ufffd'), to match v8's UTF-8 decoding
+// behavior. The continuation byte check is included three times in the case
+// where all of the continuation bytes for a character exist in the same buffer.
+// It is also done this way as a slight performance increase instead of using a
+// loop.
+function utf8CheckExtraBytes(self, buf, p) {
+  if ((buf[0] & 0xC0) !== 0x80) {
+    self.lastNeed = 0;
+    return '\ufffd';
+  }
+  if (self.lastNeed > 1 && buf.length > 1) {
+    if ((buf[1] & 0xC0) !== 0x80) {
+      self.lastNeed = 1;
+      return '\ufffd';
+    }
+    if (self.lastNeed > 2 && buf.length > 2) {
+      if ((buf[2] & 0xC0) !== 0x80) {
+        self.lastNeed = 2;
+        return '\ufffd';
+      }
+    }
+  }
+}
+
+// Attempts to complete a multi-byte UTF-8 character using bytes from a Buffer.
+function utf8FillLast(buf) {
+  var p = this.lastTotal - this.lastNeed;
+  var r = utf8CheckExtraBytes(this, buf, p);
+  if (r !== undefined) return r;
+  if (this.lastNeed <= buf.length) {
+    buf.copy(this.lastChar, p, 0, this.lastNeed);
+    return this.lastChar.toString(this.encoding, 0, this.lastTotal);
+  }
+  buf.copy(this.lastChar, p, 0, buf.length);
+  this.lastNeed -= buf.length;
+}
+
+// Returns all complete UTF-8 characters in a Buffer. If the Buffer ended on a
+// partial character, the character's bytes are buffered until the required
+// number of bytes are available.
+function utf8Text(buf, i) {
+  var total = utf8CheckIncomplete(this, buf, i);
+  if (!this.lastNeed) return buf.toString('utf8', i);
+  this.lastTotal = total;
+  var end = buf.length - (total - this.lastNeed);
+  buf.copy(this.lastChar, 0, end);
+  return buf.toString('utf8', i, end);
+}
+
+// For UTF-8, a replacement character is added when ending on a partial
+// character.
+function utf8End(buf) {
+  var r = buf && buf.length ? this.write(buf) : '';
+  if (this.lastNeed) return r + '\ufffd';
+  return r;
+}
+
+// UTF-16LE typically needs two bytes per character, but even if we have an even
+// number of bytes available, we need to check if we end on a leading/high
+// surrogate. In that case, we need to wait for the next two bytes in order to
+// decode the last character properly.
+function utf16Text(buf, i) {
+  if ((buf.length - i) % 2 === 0) {
+    var r = buf.toString('utf16le', i);
+    if (r) {
+      var c = r.charCodeAt(r.length - 1);
+      if (c >= 0xD800 && c <= 0xDBFF) {
+        this.lastNeed = 2;
+        this.lastTotal = 4;
+        this.lastChar[0] = buf[buf.length - 2];
+        this.lastChar[1] = buf[buf.length - 1];
+        return r.slice(0, -1);
+      }
+    }
+    return r;
+  }
+  this.lastNeed = 1;
+  this.lastTotal = 2;
+  this.lastChar[0] = buf[buf.length - 1];
+  return buf.toString('utf16le', i, buf.length - 1);
+}
+
+// For UTF-16LE we do not explicitly append special replacement characters if we
+// end on a partial character, we simply let v8 handle that.
+function utf16End(buf) {
+  var r = buf && buf.length ? this.write(buf) : '';
+  if (this.lastNeed) {
+    var end = this.lastTotal - this.lastNeed;
+    return r + this.lastChar.toString('utf16le', 0, end);
+  }
+  return r;
+}
+
+function base64Text(buf, i) {
+  var n = (buf.length - i) % 3;
+  if (n === 0) return buf.toString('base64', i);
+  this.lastNeed = 3 - n;
+  this.lastTotal = 3;
+  if (n === 1) {
+    this.lastChar[0] = buf[buf.length - 1];
+  } else {
+    this.lastChar[0] = buf[buf.length - 2];
+    this.lastChar[1] = buf[buf.length - 1];
+  }
+  return buf.toString('base64', i, buf.length - n);
+}
+
+function base64End(buf) {
+  var r = buf && buf.length ? this.write(buf) : '';
+  if (this.lastNeed) return r + this.lastChar.toString('base64', 0, 3 - this.lastNeed);
+  return r;
+}
+
+// Pass bytes on through for single-byte encodings (e.g. ascii, latin1, hex)
+function simpleWrite(buf) {
+  return buf.toString(this.encoding);
+}
+
+function simpleEnd(buf) {
+  return buf && buf.length ? this.write(buf) : '';
+}
+},{"safe-buffer":98}],148:[function(require,module,exports) {
+
+var global = arguments[3];
+var process = require("process");
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+'use strict';
+
+/*<replacement>*/
+
+var pna = require('process-nextick-args');
+/*</replacement>*/
+
+module.exports = Readable;
+
+/*<replacement>*/
+var isArray = require('isarray');
+/*</replacement>*/
+
+/*<replacement>*/
+var Duplex;
+/*</replacement>*/
+
+Readable.ReadableState = ReadableState;
+
+/*<replacement>*/
+var EE = require('events').EventEmitter;
+
+var EElistenerCount = function (emitter, type) {
+  return emitter.listeners(type).length;
+};
+/*</replacement>*/
+
+/*<replacement>*/
+var Stream = require('./internal/streams/stream');
+/*</replacement>*/
+
+/*<replacement>*/
+
+var Buffer = require('safe-buffer').Buffer;
+var OurUint8Array = global.Uint8Array || function () {};
+function _uint8ArrayToBuffer(chunk) {
+  return Buffer.from(chunk);
+}
+function _isUint8Array(obj) {
+  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;
+}
+
+/*</replacement>*/
+
+/*<replacement>*/
+var util = require('core-util-is');
+util.inherits = require('inherits');
+/*</replacement>*/
+
+/*<replacement>*/
+var debugUtil = require('util');
+var debug = void 0;
+if (debugUtil && debugUtil.debuglog) {
+  debug = debugUtil.debuglog('stream');
+} else {
+  debug = function () {};
+}
+/*</replacement>*/
+
+var BufferList = require('./internal/streams/BufferList');
+var destroyImpl = require('./internal/streams/destroy');
+var StringDecoder;
+
+util.inherits(Readable, Stream);
+
+var kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];
+
+function prependListener(emitter, event, fn) {
+  // Sadly this is not cacheable as some libraries bundle their own
+  // event emitter implementation with them.
+  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);
+
+  // This is a hack to make sure that our error handler is attached before any
+  // userland ones.  NEVER DO THIS. This is here only because this code needs
+  // to continue to work with older versions of Node.js that do not include
+  // the prependListener() method. The goal is to eventually remove this hack.
+  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];
+}
+
+function ReadableState(options, stream) {
+  Duplex = Duplex || require('./_stream_duplex');
+
+  options = options || {};
+
+  // Duplex streams are both readable and writable, but share
+  // the same options object.
+  // However, some cases require setting options to different
+  // values for the readable and the writable sides of the duplex stream.
+  // These options can be provided separately as readableXXX and writableXXX.
+  var isDuplex = stream instanceof Duplex;
+
+  // object stream flag. Used to make read(n) ignore n and to
+  // make all the buffer merging and length checks go away
+  this.objectMode = !!options.objectMode;
+
+  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;
+
+  // the point at which it stops calling _read() to fill the buffer
+  // Note: 0 is a valid value, means "don't call _read preemptively ever"
+  var hwm = options.highWaterMark;
+  var readableHwm = options.readableHighWaterMark;
+  var defaultHwm = this.objectMode ? 16 : 16 * 1024;
+
+  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;
+
+  // cast to ints.
+  this.highWaterMark = Math.floor(this.highWaterMark);
+
+  // A linked list is used to store data chunks instead of an array because the
+  // linked list can remove elements from the beginning faster than
+  // array.shift()
+  this.buffer = new BufferList();
+  this.length = 0;
+  this.pipes = null;
+  this.pipesCount = 0;
+  this.flowing = null;
+  this.ended = false;
+  this.endEmitted = false;
+  this.reading = false;
+
+  // a flag to be able to tell if the event 'readable'/'data' is emitted
+  // immediately, or on a later tick.  We set this to true at first, because
+  // any actions that shouldn't happen until "later" should generally also
+  // not happen before the first read call.
+  this.sync = true;
+
+  // whenever we return null, then we set a flag to say
+  // that we're awaiting a 'readable' event emission.
+  this.needReadable = false;
+  this.emittedReadable = false;
+  this.readableListening = false;
+  this.resumeScheduled = false;
+
+  // has it been destroyed
+  this.destroyed = false;
+
+  // Crypto is kind of old and crusty.  Historically, its default string
+  // encoding is 'binary' so we have to make this configurable.
+  // Everything else in the universe uses 'utf8', though.
+  this.defaultEncoding = options.defaultEncoding || 'utf8';
+
+  // the number of writers that are awaiting a drain event in .pipe()s
+  this.awaitDrain = 0;
+
+  // if true, a maybeReadMore has been scheduled
+  this.readingMore = false;
+
+  this.decoder = null;
+  this.encoding = null;
+  if (options.encoding) {
+    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;
+    this.decoder = new StringDecoder(options.encoding);
+    this.encoding = options.encoding;
+  }
+}
+
+function Readable(options) {
+  Duplex = Duplex || require('./_stream_duplex');
+
+  if (!(this instanceof Readable)) return new Readable(options);
+
+  this._readableState = new ReadableState(options, this);
+
+  // legacy
+  this.readable = true;
+
+  if (options) {
+    if (typeof options.read === 'function') this._read = options.read;
+
+    if (typeof options.destroy === 'function') this._destroy = options.destroy;
+  }
+
+  Stream.call(this);
+}
+
+Object.defineProperty(Readable.prototype, 'destroyed', {
+  get: function () {
+    if (this._readableState === undefined) {
+      return false;
+    }
+    return this._readableState.destroyed;
+  },
+  set: function (value) {
+    // we ignore the value if the stream
+    // has not been initialized yet
+    if (!this._readableState) {
+      return;
+    }
+
+    // backward compatibility, the user is explicitly
+    // managing destroyed
+    this._readableState.destroyed = value;
+  }
+});
+
+Readable.prototype.destroy = destroyImpl.destroy;
+Readable.prototype._undestroy = destroyImpl.undestroy;
+Readable.prototype._destroy = function (err, cb) {
+  this.push(null);
+  cb(err);
+};
+
+// Manually shove something into the read() buffer.
+// This returns true if the highWaterMark has not been hit yet,
+// similar to how Writable.write() returns true if you should
+// write() some more.
+Readable.prototype.push = function (chunk, encoding) {
+  var state = this._readableState;
+  var skipChunkCheck;
+
+  if (!state.objectMode) {
+    if (typeof chunk === 'string') {
+      encoding = encoding || state.defaultEncoding;
+      if (encoding !== state.encoding) {
+        chunk = Buffer.from(chunk, encoding);
+        encoding = '';
+      }
+      skipChunkCheck = true;
+    }
+  } else {
+    skipChunkCheck = true;
+  }
+
+  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);
+};
+
+// Unshift should *always* be something directly out of read()
+Readable.prototype.unshift = function (chunk) {
+  return readableAddChunk(this, chunk, null, true, false);
+};
+
+function readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {
+  var state = stream._readableState;
+  if (chunk === null) {
+    state.reading = false;
+    onEofChunk(stream, state);
+  } else {
+    var er;
+    if (!skipChunkCheck) er = chunkInvalid(state, chunk);
+    if (er) {
+      stream.emit('error', er);
+    } else if (state.objectMode || chunk && chunk.length > 0) {
+      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {
+        chunk = _uint8ArrayToBuffer(chunk);
+      }
+
+      if (addToFront) {
+        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);
+      } else if (state.ended) {
+        stream.emit('error', new Error('stream.push() after EOF'));
+      } else {
+        state.reading = false;
+        if (state.decoder && !encoding) {
+          chunk = state.decoder.write(chunk);
+          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);
+        } else {
+          addChunk(stream, state, chunk, false);
+        }
+      }
+    } else if (!addToFront) {
+      state.reading = false;
+    }
+  }
+
+  return needMoreData(state);
+}
+
+function addChunk(stream, state, chunk, addToFront) {
+  if (state.flowing && state.length === 0 && !state.sync) {
+    stream.emit('data', chunk);
+    stream.read(0);
+  } else {
+    // update the buffer info.
+    state.length += state.objectMode ? 1 : chunk.length;
+    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);
+
+    if (state.needReadable) emitReadable(stream);
+  }
+  maybeReadMore(stream, state);
+}
+
+function chunkInvalid(state, chunk) {
+  var er;
+  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {
+    er = new TypeError('Invalid non-string/buffer chunk');
+  }
+  return er;
+}
+
+// if it's past the high water mark, we can push in some more.
+// Also, if we have no data yet, we can stand some
+// more bytes.  This is to work around cases where hwm=0,
+// such as the repl.  Also, if the push() triggered a
+// readable event, and the user called read(largeNumber) such that
+// needReadable was set, then we ought to push more, so that another
+// 'readable' event will be triggered.
+function needMoreData(state) {
+  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);
+}
+
+Readable.prototype.isPaused = function () {
+  return this._readableState.flowing === false;
+};
+
+// backwards compatibility.
+Readable.prototype.setEncoding = function (enc) {
+  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;
+  this._readableState.decoder = new StringDecoder(enc);
+  this._readableState.encoding = enc;
+  return this;
+};
+
+// Don't raise the hwm > 8MB
+var MAX_HWM = 0x800000;
+function computeNewHighWaterMark(n) {
+  if (n >= MAX_HWM) {
+    n = MAX_HWM;
+  } else {
+    // Get the next highest power of 2 to prevent increasing hwm excessively in
+    // tiny amounts
+    n--;
+    n |= n >>> 1;
+    n |= n >>> 2;
+    n |= n >>> 4;
+    n |= n >>> 8;
+    n |= n >>> 16;
+    n++;
+  }
+  return n;
+}
+
+// This function is designed to be inlinable, so please take care when making
+// changes to the function body.
+function howMuchToRead(n, state) {
+  if (n <= 0 || state.length === 0 && state.ended) return 0;
+  if (state.objectMode) return 1;
+  if (n !== n) {
+    // Only flow one buffer at a time
+    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;
+  }
+  // If we're asking for more than the current hwm, then raise the hwm.
+  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);
+  if (n <= state.length) return n;
+  // Don't have enough
+  if (!state.ended) {
+    state.needReadable = true;
+    return 0;
+  }
+  return state.length;
+}
+
+// you can override either this method, or the async _read(n) below.
+Readable.prototype.read = function (n) {
+  debug('read', n);
+  n = parseInt(n, 10);
+  var state = this._readableState;
+  var nOrig = n;
+
+  if (n !== 0) state.emittedReadable = false;
+
+  // if we're doing read(0) to trigger a readable event, but we
+  // already have a bunch of data in the buffer, then just trigger
+  // the 'readable' event and move on.
+  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {
+    debug('read: emitReadable', state.length, state.ended);
+    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);
+    return null;
+  }
+
+  n = howMuchToRead(n, state);
+
+  // if we've ended, and we're now clear, then finish it up.
+  if (n === 0 && state.ended) {
+    if (state.length === 0) endReadable(this);
+    return null;
+  }
+
+  // All the actual chunk generation logic needs to be
+  // *below* the call to _read.  The reason is that in certain
+  // synthetic stream cases, such as passthrough streams, _read
+  // may be a completely synchronous operation which may change
+  // the state of the read buffer, providing enough data when
+  // before there was *not* enough.
+  //
+  // So, the steps are:
+  // 1. Figure out what the state of things will be after we do
+  // a read from the buffer.
+  //
+  // 2. If that resulting state will trigger a _read, then call _read.
+  // Note that this may be asynchronous, or synchronous.  Yes, it is
+  // deeply ugly to write APIs this way, but that still doesn't mean
+  // that the Readable class should behave improperly, as streams are
+  // designed to be sync/async agnostic.
+  // Take note if the _read call is sync or async (ie, if the read call
+  // has returned yet), so that we know whether or not it's safe to emit
+  // 'readable' etc.
+  //
+  // 3. Actually pull the requested chunks out of the buffer and return.
+
+  // if we need a readable event, then we need to do some reading.
+  var doRead = state.needReadable;
+  debug('need readable', doRead);
+
+  // if we currently have less than the highWaterMark, then also read some
+  if (state.length === 0 || state.length - n < state.highWaterMark) {
+    doRead = true;
+    debug('length less than watermark', doRead);
+  }
+
+  // however, if we've ended, then there's no point, and if we're already
+  // reading, then it's unnecessary.
+  if (state.ended || state.reading) {
+    doRead = false;
+    debug('reading or ended', doRead);
+  } else if (doRead) {
+    debug('do read');
+    state.reading = true;
+    state.sync = true;
+    // if the length is currently zero, then we *need* a readable event.
+    if (state.length === 0) state.needReadable = true;
+    // call internal read method
+    this._read(state.highWaterMark);
+    state.sync = false;
+    // If _read pushed data synchronously, then `reading` will be false,
+    // and we need to re-evaluate how much data we can return to the user.
+    if (!state.reading) n = howMuchToRead(nOrig, state);
+  }
+
+  var ret;
+  if (n > 0) ret = fromList(n, state);else ret = null;
+
+  if (ret === null) {
+    state.needReadable = true;
+    n = 0;
+  } else {
+    state.length -= n;
+  }
+
+  if (state.length === 0) {
+    // If we have nothing in the buffer, then we want to know
+    // as soon as we *do* get something into the buffer.
+    if (!state.ended) state.needReadable = true;
+
+    // If we tried to read() past the EOF, then emit end on the next tick.
+    if (nOrig !== n && state.ended) endReadable(this);
+  }
+
+  if (ret !== null) this.emit('data', ret);
+
+  return ret;
+};
+
+function onEofChunk(stream, state) {
+  if (state.ended) return;
+  if (state.decoder) {
+    var chunk = state.decoder.end();
+    if (chunk && chunk.length) {
+      state.buffer.push(chunk);
+      state.length += state.objectMode ? 1 : chunk.length;
+    }
+  }
+  state.ended = true;
+
+  // emit 'readable' now to make sure it gets picked up.
+  emitReadable(stream);
+}
+
+// Don't emit readable right away in sync mode, because this can trigger
+// another read() call => stack overflow.  This way, it might trigger
+// a nextTick recursion warning, but that's not so bad.
+function emitReadable(stream) {
+  var state = stream._readableState;
+  state.needReadable = false;
+  if (!state.emittedReadable) {
+    debug('emitReadable', state.flowing);
+    state.emittedReadable = true;
+    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);
+  }
+}
+
+function emitReadable_(stream) {
+  debug('emit readable');
+  stream.emit('readable');
+  flow(stream);
+}
+
+// at this point, the user has presumably seen the 'readable' event,
+// and called read() to consume some data.  that may have triggered
+// in turn another _read(n) call, in which case reading = true if
+// it's in progress.
+// However, if we're not ended, or reading, and the length < hwm,
+// then go ahead and try to read some more preemptively.
+function maybeReadMore(stream, state) {
+  if (!state.readingMore) {
+    state.readingMore = true;
+    pna.nextTick(maybeReadMore_, stream, state);
+  }
+}
+
+function maybeReadMore_(stream, state) {
+  var len = state.length;
+  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {
+    debug('maybeReadMore read 0');
+    stream.read(0);
+    if (len === state.length)
+      // didn't get any data, stop spinning.
+      break;else len = state.length;
+  }
+  state.readingMore = false;
+}
+
+// abstract method.  to be overridden in specific implementation classes.
+// call cb(er, data) where data is <= n in length.
+// for virtual (non-string, non-buffer) streams, "length" is somewhat
+// arbitrary, and perhaps not very meaningful.
+Readable.prototype._read = function (n) {
+  this.emit('error', new Error('_read() is not implemented'));
+};
+
+Readable.prototype.pipe = function (dest, pipeOpts) {
+  var src = this;
+  var state = this._readableState;
+
+  switch (state.pipesCount) {
+    case 0:
+      state.pipes = dest;
+      break;
+    case 1:
+      state.pipes = [state.pipes, dest];
+      break;
+    default:
+      state.pipes.push(dest);
+      break;
+  }
+  state.pipesCount += 1;
+  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);
+
+  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;
+
+  var endFn = doEnd ? onend : unpipe;
+  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);
+
+  dest.on('unpipe', onunpipe);
+  function onunpipe(readable, unpipeInfo) {
+    debug('onunpipe');
+    if (readable === src) {
+      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {
+        unpipeInfo.hasUnpiped = true;
+        cleanup();
+      }
+    }
+  }
+
+  function onend() {
+    debug('onend');
+    dest.end();
+  }
+
+  // when the dest drains, it reduces the awaitDrain counter
+  // on the source.  This would be more elegant with a .once()
+  // handler in flow(), but adding and removing repeatedly is
+  // too slow.
+  var ondrain = pipeOnDrain(src);
+  dest.on('drain', ondrain);
+
+  var cleanedUp = false;
+  function cleanup() {
+    debug('cleanup');
+    // cleanup event handlers once the pipe is broken
+    dest.removeListener('close', onclose);
+    dest.removeListener('finish', onfinish);
+    dest.removeListener('drain', ondrain);
+    dest.removeListener('error', onerror);
+    dest.removeListener('unpipe', onunpipe);
+    src.removeListener('end', onend);
+    src.removeListener('end', unpipe);
+    src.removeListener('data', ondata);
+
+    cleanedUp = true;
+
+    // if the reader is waiting for a drain event from this
+    // specific writer, then it would cause it to never start
+    // flowing again.
+    // So, if this is awaiting a drain, then we just call it now.
+    // If we don't know, then assume that we are waiting for one.
+    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();
+  }
+
+  // If the user pushes more data while we're writing to dest then we'll end up
+  // in ondata again. However, we only want to increase awaitDrain once because
+  // dest will only emit one 'drain' event for the multiple writes.
+  // => Introduce a guard on increasing awaitDrain.
+  var increasedAwaitDrain = false;
+  src.on('data', ondata);
+  function ondata(chunk) {
+    debug('ondata');
+    increasedAwaitDrain = false;
+    var ret = dest.write(chunk);
+    if (false === ret && !increasedAwaitDrain) {
+      // If the user unpiped during `dest.write()`, it is possible
+      // to get stuck in a permanently paused state if that write
+      // also returned false.
+      // => Check whether `dest` is still a piping destination.
+      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {
+        debug('false write response, pause', src._readableState.awaitDrain);
+        src._readableState.awaitDrain++;
+        increasedAwaitDrain = true;
+      }
+      src.pause();
+    }
+  }
+
+  // if the dest has an error, then stop piping into it.
+  // however, don't suppress the throwing behavior for this.
+  function onerror(er) {
+    debug('onerror', er);
+    unpipe();
+    dest.removeListener('error', onerror);
+    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);
+  }
+
+  // Make sure our error handler is attached before userland ones.
+  prependListener(dest, 'error', onerror);
+
+  // Both close and finish should trigger unpipe, but only once.
+  function onclose() {
+    dest.removeListener('finish', onfinish);
+    unpipe();
+  }
+  dest.once('close', onclose);
+  function onfinish() {
+    debug('onfinish');
+    dest.removeListener('close', onclose);
+    unpipe();
+  }
+  dest.once('finish', onfinish);
+
+  function unpipe() {
+    debug('unpipe');
+    src.unpipe(dest);
+  }
+
+  // tell the dest that it's being piped to
+  dest.emit('pipe', src);
+
+  // start the flow if it hasn't been started already.
+  if (!state.flowing) {
+    debug('pipe resume');
+    src.resume();
+  }
+
+  return dest;
+};
+
+function pipeOnDrain(src) {
+  return function () {
+    var state = src._readableState;
+    debug('pipeOnDrain', state.awaitDrain);
+    if (state.awaitDrain) state.awaitDrain--;
+    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {
+      state.flowing = true;
+      flow(src);
+    }
+  };
+}
+
+Readable.prototype.unpipe = function (dest) {
+  var state = this._readableState;
+  var unpipeInfo = { hasUnpiped: false };
+
+  // if we're not piping anywhere, then do nothing.
+  if (state.pipesCount === 0) return this;
+
+  // just one destination.  most common case.
+  if (state.pipesCount === 1) {
+    // passed in one, but it's not the right one.
+    if (dest && dest !== state.pipes) return this;
+
+    if (!dest) dest = state.pipes;
+
+    // got a match.
+    state.pipes = null;
+    state.pipesCount = 0;
+    state.flowing = false;
+    if (dest) dest.emit('unpipe', this, unpipeInfo);
+    return this;
+  }
+
+  // slow case. multiple pipe destinations.
+
+  if (!dest) {
+    // remove all.
+    var dests = state.pipes;
+    var len = state.pipesCount;
+    state.pipes = null;
+    state.pipesCount = 0;
+    state.flowing = false;
+
+    for (var i = 0; i < len; i++) {
+      dests[i].emit('unpipe', this, unpipeInfo);
+    }return this;
+  }
+
+  // try to find the right one.
+  var index = indexOf(state.pipes, dest);
+  if (index === -1) return this;
+
+  state.pipes.splice(index, 1);
+  state.pipesCount -= 1;
+  if (state.pipesCount === 1) state.pipes = state.pipes[0];
+
+  dest.emit('unpipe', this, unpipeInfo);
+
+  return this;
+};
+
+// set up data events if they are asked for
+// Ensure readable listeners eventually get something
+Readable.prototype.on = function (ev, fn) {
+  var res = Stream.prototype.on.call(this, ev, fn);
+
+  if (ev === 'data') {
+    // Start flowing on next tick if stream isn't explicitly paused
+    if (this._readableState.flowing !== false) this.resume();
+  } else if (ev === 'readable') {
+    var state = this._readableState;
+    if (!state.endEmitted && !state.readableListening) {
+      state.readableListening = state.needReadable = true;
+      state.emittedReadable = false;
+      if (!state.reading) {
+        pna.nextTick(nReadingNextTick, this);
+      } else if (state.length) {
+        emitReadable(this);
+      }
+    }
+  }
+
+  return res;
+};
+Readable.prototype.addListener = Readable.prototype.on;
+
+function nReadingNextTick(self) {
+  debug('readable nexttick read 0');
+  self.read(0);
+}
+
+// pause() and resume() are remnants of the legacy readable stream API
+// If the user uses them, then switch into old mode.
+Readable.prototype.resume = function () {
+  var state = this._readableState;
+  if (!state.flowing) {
+    debug('resume');
+    state.flowing = true;
+    resume(this, state);
+  }
+  return this;
+};
+
+function resume(stream, state) {
+  if (!state.resumeScheduled) {
+    state.resumeScheduled = true;
+    pna.nextTick(resume_, stream, state);
+  }
+}
+
+function resume_(stream, state) {
+  if (!state.reading) {
+    debug('resume read 0');
+    stream.read(0);
+  }
+
+  state.resumeScheduled = false;
+  state.awaitDrain = 0;
+  stream.emit('resume');
+  flow(stream);
+  if (state.flowing && !state.reading) stream.read(0);
+}
+
+Readable.prototype.pause = function () {
+  debug('call pause flowing=%j', this._readableState.flowing);
+  if (false !== this._readableState.flowing) {
+    debug('pause');
+    this._readableState.flowing = false;
+    this.emit('pause');
+  }
+  return this;
+};
+
+function flow(stream) {
+  var state = stream._readableState;
+  debug('flow', state.flowing);
+  while (state.flowing && stream.read() !== null) {}
+}
+
+// wrap an old-style stream as the async data source.
+// This is *not* part of the readable stream interface.
+// It is an ugly unfortunate mess of history.
+Readable.prototype.wrap = function (stream) {
+  var _this = this;
+
+  var state = this._readableState;
+  var paused = false;
+
+  stream.on('end', function () {
+    debug('wrapped end');
+    if (state.decoder && !state.ended) {
+      var chunk = state.decoder.end();
+      if (chunk && chunk.length) _this.push(chunk);
+    }
+
+    _this.push(null);
+  });
+
+  stream.on('data', function (chunk) {
+    debug('wrapped data');
+    if (state.decoder) chunk = state.decoder.write(chunk);
+
+    // don't skip over falsy values in objectMode
+    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;
+
+    var ret = _this.push(chunk);
+    if (!ret) {
+      paused = true;
+      stream.pause();
+    }
+  });
+
+  // proxy all the other methods.
+  // important when wrapping filters and duplexes.
+  for (var i in stream) {
+    if (this[i] === undefined && typeof stream[i] === 'function') {
+      this[i] = function (method) {
+        return function () {
+          return stream[method].apply(stream, arguments);
+        };
+      }(i);
+    }
+  }
+
+  // proxy certain important events.
+  for (var n = 0; n < kProxyEvents.length; n++) {
+    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));
+  }
+
+  // when we try to consume some more bytes, simply unpause the
+  // underlying stream.
+  this._read = function (n) {
+    debug('wrapped _read', n);
+    if (paused) {
+      paused = false;
+      stream.resume();
+    }
+  };
+
+  return this;
+};
+
+Object.defineProperty(Readable.prototype, 'readableHighWaterMark', {
+  // making it explicit this property is not enumerable
+  // because otherwise some prototype manipulation in
+  // userland will fail
+  enumerable: false,
+  get: function () {
+    return this._readableState.highWaterMark;
+  }
+});
+
+// exposed for testing purposes only.
+Readable._fromList = fromList;
+
+// Pluck off n bytes from an array of buffers.
+// Length is the combined lengths of all the buffers in the list.
+// This function is designed to be inlinable, so please take care when making
+// changes to the function body.
+function fromList(n, state) {
+  // nothing buffered
+  if (state.length === 0) return null;
+
+  var ret;
+  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {
+    // read it all, truncate the list
+    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);
+    state.buffer.clear();
+  } else {
+    // read part of list
+    ret = fromListPartial(n, state.buffer, state.decoder);
+  }
+
+  return ret;
+}
+
+// Extracts only enough buffered data to satisfy the amount requested.
+// This function is designed to be inlinable, so please take care when making
+// changes to the function body.
+function fromListPartial(n, list, hasStrings) {
+  var ret;
+  if (n < list.head.data.length) {
+    // slice is the same for buffers and strings
+    ret = list.head.data.slice(0, n);
+    list.head.data = list.head.data.slice(n);
+  } else if (n === list.head.data.length) {
+    // first chunk is a perfect match
+    ret = list.shift();
+  } else {
+    // result spans more than one buffer
+    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);
+  }
+  return ret;
+}
+
+// Copies a specified amount of characters from the list of buffered data
+// chunks.
+// This function is designed to be inlinable, so please take care when making
+// changes to the function body.
+function copyFromBufferString(n, list) {
+  var p = list.head;
+  var c = 1;
+  var ret = p.data;
+  n -= ret.length;
+  while (p = p.next) {
+    var str = p.data;
+    var nb = n > str.length ? str.length : n;
+    if (nb === str.length) ret += str;else ret += str.slice(0, n);
+    n -= nb;
+    if (n === 0) {
+      if (nb === str.length) {
+        ++c;
+        if (p.next) list.head = p.next;else list.head = list.tail = null;
+      } else {
+        list.head = p;
+        p.data = str.slice(nb);
+      }
+      break;
+    }
+    ++c;
+  }
+  list.length -= c;
+  return ret;
+}
+
+// Copies a specified amount of bytes from the list of buffered data chunks.
+// This function is designed to be inlinable, so please take care when making
+// changes to the function body.
+function copyFromBuffer(n, list) {
+  var ret = Buffer.allocUnsafe(n);
+  var p = list.head;
+  var c = 1;
+  p.data.copy(ret);
+  n -= p.data.length;
+  while (p = p.next) {
+    var buf = p.data;
+    var nb = n > buf.length ? buf.length : n;
+    buf.copy(ret, ret.length - n, 0, nb);
+    n -= nb;
+    if (n === 0) {
+      if (nb === buf.length) {
+        ++c;
+        if (p.next) list.head = p.next;else list.head = list.tail = null;
+      } else {
+        list.head = p;
+        p.data = buf.slice(nb);
+      }
+      break;
+    }
+    ++c;
+  }
+  list.length -= c;
+  return ret;
+}
+
+function endReadable(stream) {
+  var state = stream._readableState;
+
+  // If we get here before consuming all the bytes, then that is a
+  // bug in node.  Should never happen.
+  if (state.length > 0) throw new Error('"endReadable()" called on non-empty stream');
+
+  if (!state.endEmitted) {
+    state.ended = true;
+    pna.nextTick(endReadableNT, state, stream);
+  }
+}
+
+function endReadableNT(state, stream) {
+  // Check that we didn't get one last unshift.
+  if (!state.endEmitted && state.length === 0) {
+    state.endEmitted = true;
+    stream.readable = false;
+    stream.emit('end');
+  }
+}
+
+function indexOf(xs, x) {
+  for (var i = 0, l = xs.length; i < l; i++) {
+    if (xs[i] === x) return i;
+  }
+  return -1;
+}
+},{"process-nextick-args":170,"isarray":72,"events":133,"./internal/streams/stream":187,"safe-buffer":98,"core-util-is":169,"inherits":97,"util":159,"./internal/streams/BufferList":195,"./internal/streams/destroy":188,"./_stream_duplex":149,"string_decoder/":128,"process":6}],151:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+// a transform stream is a readable/writable stream where you do
+// something with the data.  Sometimes it's called a "filter",
+// but that's not a great name for it, since that implies a thing where
+// some bits pass through, and others are simply ignored.  (That would
+// be a valid example of a transform, of course.)
+//
+// While the output is causally related to the input, it's not a
+// necessarily symmetric or synchronous transformation.  For example,
+// a zlib stream might take multiple plain-text writes(), and then
+// emit a single compressed chunk some time in the future.
+//
+// Here's how this works:
+//
+// The Transform stream has all the aspects of the readable and writable
+// stream classes.  When you write(chunk), that calls _write(chunk,cb)
+// internally, and returns false if there's a lot of pending writes
+// buffered up.  When you call read(), that calls _read(n) until
+// there's enough pending readable data buffered up.
+//
+// In a transform stream, the written data is placed in a buffer.  When
+// _read(n) is called, it transforms the queued up data, calling the
+// buffered _write cb's as it consumes chunks.  If consuming a single
+// written chunk would result in multiple output chunks, then the first
+// outputted bit calls the readcb, and subsequent chunks just go into
+// the read buffer, and will cause it to emit 'readable' if necessary.
+//
+// This way, back-pressure is actually determined by the reading side,
+// since _read has to be called to start processing a new chunk.  However,
+// a pathological inflate type of transform can cause excessive buffering
+// here.  For example, imagine a stream where every byte of input is
+// interpreted as an integer from 0-255, and then results in that many
+// bytes of output.  Writing the 4 bytes {ff,ff,ff,ff} would result in
+// 1kb of data being output.  In this case, you could write a very small
+// amount of input, and end up with a very large amount of output.  In
+// such a pathological inflating mechanism, there'd be no way to tell
+// the system to stop doing the transform.  A single 4MB write could
+// cause the system to run out of memory.
+//
+// However, even in such a pathological case, only a single written chunk
+// would be consumed, and then the rest would wait (un-transformed) until
+// the results of the previous transformed chunk were consumed.
+
+'use strict';
+
+module.exports = Transform;
+
+var Duplex = require('./_stream_duplex');
+
+/*<replacement>*/
+var util = require('core-util-is');
+util.inherits = require('inherits');
+/*</replacement>*/
+
+util.inherits(Transform, Duplex);
+
+function afterTransform(er, data) {
+  var ts = this._transformState;
+  ts.transforming = false;
+
+  var cb = ts.writecb;
+
+  if (!cb) {
+    return this.emit('error', new Error('write callback called multiple times'));
+  }
+
+  ts.writechunk = null;
+  ts.writecb = null;
+
+  if (data != null) // single equals check for both `null` and `undefined`
+    this.push(data);
+
+  cb(er);
+
+  var rs = this._readableState;
+  rs.reading = false;
+  if (rs.needReadable || rs.length < rs.highWaterMark) {
+    this._read(rs.highWaterMark);
+  }
+}
+
+function Transform(options) {
+  if (!(this instanceof Transform)) return new Transform(options);
+
+  Duplex.call(this, options);
+
+  this._transformState = {
+    afterTransform: afterTransform.bind(this),
+    needTransform: false,
+    transforming: false,
+    writecb: null,
+    writechunk: null,
+    writeencoding: null
+  };
+
+  // start out asking for a readable event once data is transformed.
+  this._readableState.needReadable = true;
+
+  // we have implemented the _read method, and done the other things
+  // that Readable wants before the first _read call, so unset the
+  // sync guard flag.
+  this._readableState.sync = false;
+
+  if (options) {
+    if (typeof options.transform === 'function') this._transform = options.transform;
+
+    if (typeof options.flush === 'function') this._flush = options.flush;
+  }
+
+  // When the writable side finishes, then flush out anything remaining.
+  this.on('prefinish', prefinish);
+}
+
+function prefinish() {
+  var _this = this;
+
+  if (typeof this._flush === 'function') {
+    this._flush(function (er, data) {
+      done(_this, er, data);
+    });
+  } else {
+    done(this, null, null);
+  }
+}
+
+Transform.prototype.push = function (chunk, encoding) {
+  this._transformState.needTransform = false;
+  return Duplex.prototype.push.call(this, chunk, encoding);
+};
+
+// This is the part where you do stuff!
+// override this function in implementation classes.
+// 'chunk' is an input chunk.
+//
+// Call `push(newChunk)` to pass along transformed output
+// to the readable side.  You may call 'push' zero or more times.
+//
+// Call `cb(err)` when you are done with this chunk.  If you pass
+// an error, then that'll put the hurt on the whole operation.  If you
+// never call cb(), then you'll never get another chunk.
+Transform.prototype._transform = function (chunk, encoding, cb) {
+  throw new Error('_transform() is not implemented');
+};
+
+Transform.prototype._write = function (chunk, encoding, cb) {
+  var ts = this._transformState;
+  ts.writecb = cb;
+  ts.writechunk = chunk;
+  ts.writeencoding = encoding;
+  if (!ts.transforming) {
+    var rs = this._readableState;
+    if (ts.needTransform || rs.needReadable || rs.length < rs.highWaterMark) this._read(rs.highWaterMark);
+  }
+};
+
+// Doesn't matter what the args are here.
+// _transform does all the work.
+// That we got here means that the readable side wants more data.
+Transform.prototype._read = function (n) {
+  var ts = this._transformState;
+
+  if (ts.writechunk !== null && ts.writecb && !ts.transforming) {
+    ts.transforming = true;
+    this._transform(ts.writechunk, ts.writeencoding, ts.afterTransform);
+  } else {
+    // mark that we need a transform, so that any data that comes in
+    // will get processed, now that we've asked for it.
+    ts.needTransform = true;
+  }
+};
+
+Transform.prototype._destroy = function (err, cb) {
+  var _this2 = this;
+
+  Duplex.prototype._destroy.call(this, err, function (err2) {
+    cb(err2);
+    _this2.emit('close');
+  });
+};
+
+function done(stream, er, data) {
+  if (er) return stream.emit('error', er);
+
+  if (data != null) // single equals check for both `null` and `undefined`
+    stream.push(data);
+
+  // if there's nothing in the write buffer, then that means
+  // that nothing more will ever be provided
+  if (stream._writableState.length) throw new Error('Calling transform done when ws.length != 0');
+
+  if (stream._transformState.transforming) throw new Error('Calling transform done when still transforming');
+
+  return stream.push(null);
+}
+},{"./_stream_duplex":149,"core-util-is":169,"inherits":97}],152:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+// a passthrough stream.
+// basically just the most minimal sort of Transform stream.
+// Every written chunk gets output as-is.
+
+'use strict';
+
+module.exports = PassThrough;
+
+var Transform = require('./_stream_transform');
+
+/*<replacement>*/
+var util = require('core-util-is');
+util.inherits = require('inherits');
+/*</replacement>*/
+
+util.inherits(PassThrough, Transform);
+
+function PassThrough(options) {
+  if (!(this instanceof PassThrough)) return new PassThrough(options);
+
+  Transform.call(this, options);
+}
+
+PassThrough.prototype._transform = function (chunk, encoding, cb) {
+  cb(null, chunk);
+};
+},{"./_stream_transform":151,"core-util-is":169,"inherits":97}],135:[function(require,module,exports) {
+exports = module.exports = require('./lib/_stream_readable.js');
+exports.Stream = exports;
+exports.Readable = exports;
+exports.Writable = require('./lib/_stream_writable.js');
+exports.Duplex = require('./lib/_stream_duplex.js');
+exports.Transform = require('./lib/_stream_transform.js');
+exports.PassThrough = require('./lib/_stream_passthrough.js');
+
+},{"./lib/_stream_readable.js":148,"./lib/_stream_writable.js":150,"./lib/_stream_duplex.js":149,"./lib/_stream_transform.js":151,"./lib/_stream_passthrough.js":152}],136:[function(require,module,exports) {
+module.exports = require('./lib/_stream_writable.js');
+
+},{"./lib/_stream_writable.js":150}],138:[function(require,module,exports) {
+module.exports = require('./lib/_stream_duplex.js');
+
+},{"./lib/_stream_duplex.js":149}],139:[function(require,module,exports) {
+module.exports = require('./readable').Transform
+
+},{"./readable":135}],137:[function(require,module,exports) {
+module.exports = require('./readable').PassThrough
+
+},{"./readable":135}],105:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+module.exports = Stream;
+
+var EE = require('events').EventEmitter;
+var inherits = require('inherits');
+
+inherits(Stream, EE);
+Stream.Readable = require('readable-stream/readable.js');
+Stream.Writable = require('readable-stream/writable.js');
+Stream.Duplex = require('readable-stream/duplex.js');
+Stream.Transform = require('readable-stream/transform.js');
+Stream.PassThrough = require('readable-stream/passthrough.js');
+
+// Backwards-compat with node 0.4.x
+Stream.Stream = Stream;
+
+
+
+// old-style streams.  Note that the pipe method (the only relevant
+// part of this class) is overridden in the Readable class.
+
+function Stream() {
+  EE.call(this);
+}
+
+Stream.prototype.pipe = function(dest, options) {
+  var source = this;
+
+  function ondata(chunk) {
+    if (dest.writable) {
+      if (false === dest.write(chunk) && source.pause) {
+        source.pause();
+      }
+    }
+  }
+
+  source.on('data', ondata);
+
+  function ondrain() {
+    if (source.readable && source.resume) {
+      source.resume();
+    }
+  }
+
+  dest.on('drain', ondrain);
+
+  // If the 'end' option is not supplied, dest.end() will be called when
+  // source gets the 'end' or 'close' events.  Only dest.end() once.
+  if (!dest._isStdio && (!options || options.end !== false)) {
+    source.on('end', onend);
+    source.on('close', onclose);
+  }
+
+  var didOnEnd = false;
+  function onend() {
+    if (didOnEnd) return;
+    didOnEnd = true;
+
+    dest.end();
+  }
+
+
+  function onclose() {
+    if (didOnEnd) return;
+    didOnEnd = true;
+
+    if (typeof dest.destroy === 'function') dest.destroy();
+  }
+
+  // don't leave dangling pipes when there are errors.
+  function onerror(er) {
+    cleanup();
+    if (EE.listenerCount(this, 'error') === 0) {
+      throw er; // Unhandled stream error in pipe.
+    }
+  }
+
+  source.on('error', onerror);
+  dest.on('error', onerror);
+
+  // remove all the event listeners that were added.
+  function cleanup() {
+    source.removeListener('data', ondata);
+    dest.removeListener('drain', ondrain);
+
+    source.removeListener('end', onend);
+    source.removeListener('close', onclose);
+
+    source.removeListener('error', onerror);
+    dest.removeListener('error', onerror);
+
+    source.removeListener('end', cleanup);
+    source.removeListener('close', cleanup);
+
+    dest.removeListener('close', cleanup);
+  }
+
+  source.on('end', cleanup);
+  source.on('close', cleanup);
+
+  dest.on('close', cleanup);
+
+  dest.emit('pipe', source);
+
+  // Allow for unix-like usage: A.pipe(B).pipe(C)
+  return dest;
+};
+
+},{"events":133,"inherits":97,"readable-stream/readable.js":135,"readable-stream/writable.js":136,"readable-stream/duplex.js":138,"readable-stream/transform.js":139,"readable-stream/passthrough.js":137}],134:[function(require,module,exports) {
+
+'use strict';
+
+var Buffer = require('safe-buffer').Buffer;
+var Transform = require('stream').Transform;
+var inherits = require('inherits');
+
+function throwIfNotStringOrBuffer(val, prefix) {
+  if (!Buffer.isBuffer(val) && typeof val !== 'string') {
+    throw new TypeError(prefix + ' must be a string or a buffer');
+  }
+}
+
+function HashBase(blockSize) {
+  Transform.call(this);
+
+  this._block = Buffer.allocUnsafe(blockSize);
+  this._blockSize = blockSize;
+  this._blockOffset = 0;
+  this._length = [0, 0, 0, 0];
+
+  this._finalized = false;
+}
+
+inherits(HashBase, Transform);
+
+HashBase.prototype._transform = function (chunk, encoding, callback) {
+  var error = null;
+  try {
+    this.update(chunk, encoding);
+  } catch (err) {
+    error = err;
+  }
+
+  callback(error);
+};
+
+HashBase.prototype._flush = function (callback) {
+  var error = null;
+  try {
+    this.push(this.digest());
+  } catch (err) {
+    error = err;
+  }
+
+  callback(error);
+};
+
+HashBase.prototype.update = function (data, encoding) {
+  throwIfNotStringOrBuffer(data, 'Data');
+  if (this._finalized) throw new Error('Digest already called');
+  if (!Buffer.isBuffer(data)) data = Buffer.from(data, encoding);
+
+  // consume data
+  var block = this._block;
+  var offset = 0;
+  while (this._blockOffset + data.length - offset >= this._blockSize) {
+    for (var i = this._blockOffset; i < this._blockSize;) block[i++] = data[offset++];
+    this._update();
+    this._blockOffset = 0;
+  }
+  while (offset < data.length) block[this._blockOffset++] = data[offset++];
+
+  // update length
+  for (var j = 0, carry = data.length * 8; carry > 0; ++j) {
+    this._length[j] += carry;
+    carry = this._length[j] / 0x0100000000 | 0;
+    if (carry > 0) this._length[j] -= 0x0100000000 * carry;
+  }
+
+  return this;
+};
+
+HashBase.prototype._update = function () {
+  throw new Error('_update is not implemented');
+};
+
+HashBase.prototype.digest = function (encoding) {
+  if (this._finalized) throw new Error('Digest already called');
+  this._finalized = true;
+
+  var digest = this._digest();
+  if (encoding !== undefined) digest = digest.toString(encoding);
+
+  // reset state
+  this._block.fill(0);
+  this._blockOffset = 0;
+  for (var i = 0; i < 4; ++i) this._length[i] = 0;
+
+  return digest;
+};
+
+HashBase.prototype._digest = function () {
+  throw new Error('_digest is not implemented');
+};
+
+module.exports = HashBase;
+},{"safe-buffer":98,"stream":105,"inherits":97}],99:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+'use strict'
+var inherits = require('inherits')
+var HashBase = require('hash-base')
+
+var ARRAY16 = new Array(16)
+
+function MD5 () {
+  HashBase.call(this, 64)
+
+  // state
+  this._a = 0x67452301
+  this._b = 0xefcdab89
+  this._c = 0x98badcfe
+  this._d = 0x10325476
+}
+
+inherits(MD5, HashBase)
+
+MD5.prototype._update = function () {
+  var M = ARRAY16
+  for (var i = 0; i < 16; ++i) M[i] = this._block.readInt32LE(i * 4)
+
+  var a = this._a
+  var b = this._b
+  var c = this._c
+  var d = this._d
+
+  a = fnF(a, b, c, d, M[0], 0xd76aa478, 7)
+  d = fnF(d, a, b, c, M[1], 0xe8c7b756, 12)
+  c = fnF(c, d, a, b, M[2], 0x242070db, 17)
+  b = fnF(b, c, d, a, M[3], 0xc1bdceee, 22)
+  a = fnF(a, b, c, d, M[4], 0xf57c0faf, 7)
+  d = fnF(d, a, b, c, M[5], 0x4787c62a, 12)
+  c = fnF(c, d, a, b, M[6], 0xa8304613, 17)
+  b = fnF(b, c, d, a, M[7], 0xfd469501, 22)
+  a = fnF(a, b, c, d, M[8], 0x698098d8, 7)
+  d = fnF(d, a, b, c, M[9], 0x8b44f7af, 12)
+  c = fnF(c, d, a, b, M[10], 0xffff5bb1, 17)
+  b = fnF(b, c, d, a, M[11], 0x895cd7be, 22)
+  a = fnF(a, b, c, d, M[12], 0x6b901122, 7)
+  d = fnF(d, a, b, c, M[13], 0xfd987193, 12)
+  c = fnF(c, d, a, b, M[14], 0xa679438e, 17)
+  b = fnF(b, c, d, a, M[15], 0x49b40821, 22)
+
+  a = fnG(a, b, c, d, M[1], 0xf61e2562, 5)
+  d = fnG(d, a, b, c, M[6], 0xc040b340, 9)
+  c = fnG(c, d, a, b, M[11], 0x265e5a51, 14)
+  b = fnG(b, c, d, a, M[0], 0xe9b6c7aa, 20)
+  a = fnG(a, b, c, d, M[5], 0xd62f105d, 5)
+  d = fnG(d, a, b, c, M[10], 0x02441453, 9)
+  c = fnG(c, d, a, b, M[15], 0xd8a1e681, 14)
+  b = fnG(b, c, d, a, M[4], 0xe7d3fbc8, 20)
+  a = fnG(a, b, c, d, M[9], 0x21e1cde6, 5)
+  d = fnG(d, a, b, c, M[14], 0xc33707d6, 9)
+  c = fnG(c, d, a, b, M[3], 0xf4d50d87, 14)
+  b = fnG(b, c, d, a, M[8], 0x455a14ed, 20)
+  a = fnG(a, b, c, d, M[13], 0xa9e3e905, 5)
+  d = fnG(d, a, b, c, M[2], 0xfcefa3f8, 9)
+  c = fnG(c, d, a, b, M[7], 0x676f02d9, 14)
+  b = fnG(b, c, d, a, M[12], 0x8d2a4c8a, 20)
+
+  a = fnH(a, b, c, d, M[5], 0xfffa3942, 4)
+  d = fnH(d, a, b, c, M[8], 0x8771f681, 11)
+  c = fnH(c, d, a, b, M[11], 0x6d9d6122, 16)
+  b = fnH(b, c, d, a, M[14], 0xfde5380c, 23)
+  a = fnH(a, b, c, d, M[1], 0xa4beea44, 4)
+  d = fnH(d, a, b, c, M[4], 0x4bdecfa9, 11)
+  c = fnH(c, d, a, b, M[7], 0xf6bb4b60, 16)
+  b = fnH(b, c, d, a, M[10], 0xbebfbc70, 23)
+  a = fnH(a, b, c, d, M[13], 0x289b7ec6, 4)
+  d = fnH(d, a, b, c, M[0], 0xeaa127fa, 11)
+  c = fnH(c, d, a, b, M[3], 0xd4ef3085, 16)
+  b = fnH(b, c, d, a, M[6], 0x04881d05, 23)
+  a = fnH(a, b, c, d, M[9], 0xd9d4d039, 4)
+  d = fnH(d, a, b, c, M[12], 0xe6db99e5, 11)
+  c = fnH(c, d, a, b, M[15], 0x1fa27cf8, 16)
+  b = fnH(b, c, d, a, M[2], 0xc4ac5665, 23)
+
+  a = fnI(a, b, c, d, M[0], 0xf4292244, 6)
+  d = fnI(d, a, b, c, M[7], 0x432aff97, 10)
+  c = fnI(c, d, a, b, M[14], 0xab9423a7, 15)
+  b = fnI(b, c, d, a, M[5], 0xfc93a039, 21)
+  a = fnI(a, b, c, d, M[12], 0x655b59c3, 6)
+  d = fnI(d, a, b, c, M[3], 0x8f0ccc92, 10)
+  c = fnI(c, d, a, b, M[10], 0xffeff47d, 15)
+  b = fnI(b, c, d, a, M[1], 0x85845dd1, 21)
+  a = fnI(a, b, c, d, M[8], 0x6fa87e4f, 6)
+  d = fnI(d, a, b, c, M[15], 0xfe2ce6e0, 10)
+  c = fnI(c, d, a, b, M[6], 0xa3014314, 15)
+  b = fnI(b, c, d, a, M[13], 0x4e0811a1, 21)
+  a = fnI(a, b, c, d, M[4], 0xf7537e82, 6)
+  d = fnI(d, a, b, c, M[11], 0xbd3af235, 10)
+  c = fnI(c, d, a, b, M[2], 0x2ad7d2bb, 15)
+  b = fnI(b, c, d, a, M[9], 0xeb86d391, 21)
+
+  this._a = (this._a + a) | 0
+  this._b = (this._b + b) | 0
+  this._c = (this._c + c) | 0
+  this._d = (this._d + d) | 0
+}
+
+MD5.prototype._digest = function () {
+  // create padding and handle blocks
+  this._block[this._blockOffset++] = 0x80
+  if (this._blockOffset > 56) {
+    this._block.fill(0, this._blockOffset, 64)
+    this._update()
+    this._blockOffset = 0
+  }
+
+  this._block.fill(0, this._blockOffset, 56)
+  this._block.writeUInt32LE(this._length[0], 56)
+  this._block.writeUInt32LE(this._length[1], 60)
+  this._update()
+
+  // produce result
+  var buffer = new Buffer(16)
+  buffer.writeInt32LE(this._a, 0)
+  buffer.writeInt32LE(this._b, 4)
+  buffer.writeInt32LE(this._c, 8)
+  buffer.writeInt32LE(this._d, 12)
+  return buffer
+}
+
+function rotl (x, n) {
+  return (x << n) | (x >>> (32 - n))
+}
+
+function fnF (a, b, c, d, m, k, s) {
+  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + b) | 0
+}
+
+function fnG (a, b, c, d, m, k, s) {
+  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + b) | 0
+}
+
+function fnH (a, b, c, d, m, k, s) {
+  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + b) | 0
+}
+
+function fnI (a, b, c, d, m, k, s) {
+  return (rotl((a + ((c ^ (b | (~d)))) + m + k) | 0, s) + b) | 0
+}
+
+module.exports = MD5
+
+},{"inherits":97,"hash-base":134,"buffer":62}],101:[function(require,module,exports) {
+
+'use strict'
+var Buffer = require('buffer').Buffer
+var inherits = require('inherits')
+var HashBase = require('hash-base')
+
+var ARRAY16 = new Array(16)
+
+var zl = [
+  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,
+  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,
+  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,
+  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13
+]
+
+var zr = [
+  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,
+  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,
+  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,
+  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,
+  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11
+]
+
+var sl = [
+  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,
+  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,
+  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,
+  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,
+  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6
+]
+
+var sr = [
+  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,
+  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,
+  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,
+  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,
+  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11
+]
+
+var hl = [0x00000000, 0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xa953fd4e]
+var hr = [0x50a28be6, 0x5c4dd124, 0x6d703ef3, 0x7a6d76e9, 0x00000000]
+
+function RIPEMD160 () {
+  HashBase.call(this, 64)
+
+  // state
+  this._a = 0x67452301
+  this._b = 0xefcdab89
+  this._c = 0x98badcfe
+  this._d = 0x10325476
+  this._e = 0xc3d2e1f0
+}
+
+inherits(RIPEMD160, HashBase)
+
+RIPEMD160.prototype._update = function () {
+  var words = ARRAY16
+  for (var j = 0; j < 16; ++j) words[j] = this._block.readInt32LE(j * 4)
+
+  var al = this._a | 0
+  var bl = this._b | 0
+  var cl = this._c | 0
+  var dl = this._d | 0
+  var el = this._e | 0
+
+  var ar = this._a | 0
+  var br = this._b | 0
+  var cr = this._c | 0
+  var dr = this._d | 0
+  var er = this._e | 0
+
+  // computation
+  for (var i = 0; i < 80; i += 1) {
+    var tl
+    var tr
+    if (i < 16) {
+      tl = fn1(al, bl, cl, dl, el, words[zl[i]], hl[0], sl[i])
+      tr = fn5(ar, br, cr, dr, er, words[zr[i]], hr[0], sr[i])
+    } else if (i < 32) {
+      tl = fn2(al, bl, cl, dl, el, words[zl[i]], hl[1], sl[i])
+      tr = fn4(ar, br, cr, dr, er, words[zr[i]], hr[1], sr[i])
+    } else if (i < 48) {
+      tl = fn3(al, bl, cl, dl, el, words[zl[i]], hl[2], sl[i])
+      tr = fn3(ar, br, cr, dr, er, words[zr[i]], hr[2], sr[i])
+    } else if (i < 64) {
+      tl = fn4(al, bl, cl, dl, el, words[zl[i]], hl[3], sl[i])
+      tr = fn2(ar, br, cr, dr, er, words[zr[i]], hr[3], sr[i])
+    } else { // if (i<80) {
+      tl = fn5(al, bl, cl, dl, el, words[zl[i]], hl[4], sl[i])
+      tr = fn1(ar, br, cr, dr, er, words[zr[i]], hr[4], sr[i])
+    }
+
+    al = el
+    el = dl
+    dl = rotl(cl, 10)
+    cl = bl
+    bl = tl
+
+    ar = er
+    er = dr
+    dr = rotl(cr, 10)
+    cr = br
+    br = tr
+  }
+
+  // update state
+  var t = (this._b + cl + dr) | 0
+  this._b = (this._c + dl + er) | 0
+  this._c = (this._d + el + ar) | 0
+  this._d = (this._e + al + br) | 0
+  this._e = (this._a + bl + cr) | 0
+  this._a = t
+}
+
+RIPEMD160.prototype._digest = function () {
+  // create padding and handle blocks
+  this._block[this._blockOffset++] = 0x80
+  if (this._blockOffset > 56) {
+    this._block.fill(0, this._blockOffset, 64)
+    this._update()
+    this._blockOffset = 0
+  }
+
+  this._block.fill(0, this._blockOffset, 56)
+  this._block.writeUInt32LE(this._length[0], 56)
+  this._block.writeUInt32LE(this._length[1], 60)
+  this._update()
+
+  // produce result
+  var buffer = Buffer.alloc ? Buffer.alloc(20) : new Buffer(20)
+  buffer.writeInt32LE(this._a, 0)
+  buffer.writeInt32LE(this._b, 4)
+  buffer.writeInt32LE(this._c, 8)
+  buffer.writeInt32LE(this._d, 12)
+  buffer.writeInt32LE(this._e, 16)
+  return buffer
+}
+
+function rotl (x, n) {
+  return (x << n) | (x >>> (32 - n))
+}
+
+function fn1 (a, b, c, d, e, m, k, s) {
+  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + e) | 0
+}
+
+function fn2 (a, b, c, d, e, m, k, s) {
+  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + e) | 0
+}
+
+function fn3 (a, b, c, d, e, m, k, s) {
+  return (rotl((a + ((b | (~c)) ^ d) + m + k) | 0, s) + e) | 0
+}
+
+function fn4 (a, b, c, d, e, m, k, s) {
+  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + e) | 0
+}
+
+function fn5 (a, b, c, d, e, m, k, s) {
+  return (rotl((a + (b ^ (c | (~d))) + m + k) | 0, s) + e) | 0
+}
+
+module.exports = RIPEMD160
+
+},{"buffer":62,"inherits":97,"hash-base":134}],141:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+
+// prototype class for hash functions
+function Hash (blockSize, finalSize) {
+  this._block = Buffer.alloc(blockSize)
+  this._finalSize = finalSize
+  this._blockSize = blockSize
+  this._len = 0
+}
+
+Hash.prototype.update = function (data, enc) {
+  if (typeof data === 'string') {
+    enc = enc || 'utf8'
+    data = Buffer.from(data, enc)
+  }
+
+  var block = this._block
+  var blockSize = this._blockSize
+  var length = data.length
+  var accum = this._len
+
+  for (var offset = 0; offset < length;) {
+    var assigned = accum % blockSize
+    var remainder = Math.min(length - offset, blockSize - assigned)
+
+    for (var i = 0; i < remainder; i++) {
+      block[assigned + i] = data[offset + i]
+    }
+
+    accum += remainder
+    offset += remainder
+
+    if ((accum % blockSize) === 0) {
+      this._update(block)
+    }
+  }
+
+  this._len += length
+  return this
+}
+
+Hash.prototype.digest = function (enc) {
+  var rem = this._len % this._blockSize
+
+  this._block[rem] = 0x80
+
+  // zero (rem + 1) trailing bits, where (rem + 1) is the smallest
+  // non-negative solution to the equation (length + 1 + (rem + 1)) === finalSize mod blockSize
+  this._block.fill(0, rem + 1)
+
+  if (rem >= this._finalSize) {
+    this._update(this._block)
+    this._block.fill(0)
+  }
+
+  var bits = this._len * 8
+
+  // uint32
+  if (bits <= 0xffffffff) {
+    this._block.writeUInt32BE(bits, this._blockSize - 4)
+
+  // uint64
+  } else {
+    var lowBits = (bits & 0xffffffff) >>> 0
+    var highBits = (bits - lowBits) / 0x100000000
+
+    this._block.writeUInt32BE(highBits, this._blockSize - 8)
+    this._block.writeUInt32BE(lowBits, this._blockSize - 4)
+  }
+
+  this._update(this._block)
+  var hash = this._hash()
+
+  return enc ? hash.toString(enc) : hash
+}
+
+Hash.prototype._update = function () {
+  throw new Error('_update must be implemented by subclass')
+}
+
+module.exports = Hash
+
+},{"safe-buffer":98}],113:[function(require,module,exports) {
+
+/*
+ * A JavaScript implementation of the Secure Hash Algorithm, SHA-0, as defined
+ * in FIPS PUB 180-1
+ * This source code is derived from sha1.js of the same repository.
+ * The difference between SHA-0 and SHA-1 is just a bitwise rotate left
+ * operation was added.
+ */
+
+var inherits = require('inherits')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var K = [
+  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0
+]
+
+var W = new Array(80)
+
+function Sha () {
+  this.init()
+  this._w = W
+
+  Hash.call(this, 64, 56)
+}
+
+inherits(Sha, Hash)
+
+Sha.prototype.init = function () {
+  this._a = 0x67452301
+  this._b = 0xefcdab89
+  this._c = 0x98badcfe
+  this._d = 0x10325476
+  this._e = 0xc3d2e1f0
+
+  return this
+}
+
+function rotl5 (num) {
+  return (num << 5) | (num >>> 27)
+}
+
+function rotl30 (num) {
+  return (num << 30) | (num >>> 2)
+}
+
+function ft (s, b, c, d) {
+  if (s === 0) return (b & c) | ((~b) & d)
+  if (s === 2) return (b & c) | (b & d) | (c & d)
+  return b ^ c ^ d
+}
+
+Sha.prototype._update = function (M) {
+  var W = this._w
+
+  var a = this._a | 0
+  var b = this._b | 0
+  var c = this._c | 0
+  var d = this._d | 0
+  var e = this._e | 0
+
+  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)
+  for (; i < 80; ++i) W[i] = W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16]
+
+  for (var j = 0; j < 80; ++j) {
+    var s = ~~(j / 20)
+    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0
+
+    e = d
+    d = c
+    c = rotl30(b)
+    b = a
+    a = t
+  }
+
+  this._a = (a + this._a) | 0
+  this._b = (b + this._b) | 0
+  this._c = (c + this._c) | 0
+  this._d = (d + this._d) | 0
+  this._e = (e + this._e) | 0
+}
+
+Sha.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(20)
+
+  H.writeInt32BE(this._a | 0, 0)
+  H.writeInt32BE(this._b | 0, 4)
+  H.writeInt32BE(this._c | 0, 8)
+  H.writeInt32BE(this._d | 0, 12)
+  H.writeInt32BE(this._e | 0, 16)
+
+  return H
+}
+
+module.exports = Sha
+
+},{"inherits":97,"./hash":141,"safe-buffer":98}],114:[function(require,module,exports) {
+
+/*
+ * A JavaScript implementation of the Secure Hash Algorithm, SHA-1, as defined
+ * in FIPS PUB 180-1
+ * Version 2.1a Copyright Paul Johnston 2000 - 2002.
+ * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet
+ * Distributed under the BSD License
+ * See http://pajhome.org.uk/crypt/md5 for details.
+ */
+
+var inherits = require('inherits')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var K = [
+  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0
+]
+
+var W = new Array(80)
+
+function Sha1 () {
+  this.init()
+  this._w = W
+
+  Hash.call(this, 64, 56)
+}
+
+inherits(Sha1, Hash)
+
+Sha1.prototype.init = function () {
+  this._a = 0x67452301
+  this._b = 0xefcdab89
+  this._c = 0x98badcfe
+  this._d = 0x10325476
+  this._e = 0xc3d2e1f0
+
+  return this
+}
+
+function rotl1 (num) {
+  return (num << 1) | (num >>> 31)
+}
+
+function rotl5 (num) {
+  return (num << 5) | (num >>> 27)
+}
+
+function rotl30 (num) {
+  return (num << 30) | (num >>> 2)
+}
+
+function ft (s, b, c, d) {
+  if (s === 0) return (b & c) | ((~b) & d)
+  if (s === 2) return (b & c) | (b & d) | (c & d)
+  return b ^ c ^ d
+}
+
+Sha1.prototype._update = function (M) {
+  var W = this._w
+
+  var a = this._a | 0
+  var b = this._b | 0
+  var c = this._c | 0
+  var d = this._d | 0
+  var e = this._e | 0
+
+  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)
+  for (; i < 80; ++i) W[i] = rotl1(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16])
+
+  for (var j = 0; j < 80; ++j) {
+    var s = ~~(j / 20)
+    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0
+
+    e = d
+    d = c
+    c = rotl30(b)
+    b = a
+    a = t
+  }
+
+  this._a = (a + this._a) | 0
+  this._b = (b + this._b) | 0
+  this._c = (c + this._c) | 0
+  this._d = (d + this._d) | 0
+  this._e = (e + this._e) | 0
+}
+
+Sha1.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(20)
+
+  H.writeInt32BE(this._a | 0, 0)
+  H.writeInt32BE(this._b | 0, 4)
+  H.writeInt32BE(this._c | 0, 8)
+  H.writeInt32BE(this._d | 0, 12)
+  H.writeInt32BE(this._e | 0, 16)
+
+  return H
+}
+
+module.exports = Sha1
+
+},{"inherits":97,"./hash":141,"safe-buffer":98}],116:[function(require,module,exports) {
+
+/**
+ * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined
+ * in FIPS 180-2
+ * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.
+ * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet
+ *
+ */
+
+var inherits = require('inherits')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var K = [
+  0x428A2F98, 0x71374491, 0xB5C0FBCF, 0xE9B5DBA5,
+  0x3956C25B, 0x59F111F1, 0x923F82A4, 0xAB1C5ED5,
+  0xD807AA98, 0x12835B01, 0x243185BE, 0x550C7DC3,
+  0x72BE5D74, 0x80DEB1FE, 0x9BDC06A7, 0xC19BF174,
+  0xE49B69C1, 0xEFBE4786, 0x0FC19DC6, 0x240CA1CC,
+  0x2DE92C6F, 0x4A7484AA, 0x5CB0A9DC, 0x76F988DA,
+  0x983E5152, 0xA831C66D, 0xB00327C8, 0xBF597FC7,
+  0xC6E00BF3, 0xD5A79147, 0x06CA6351, 0x14292967,
+  0x27B70A85, 0x2E1B2138, 0x4D2C6DFC, 0x53380D13,
+  0x650A7354, 0x766A0ABB, 0x81C2C92E, 0x92722C85,
+  0xA2BFE8A1, 0xA81A664B, 0xC24B8B70, 0xC76C51A3,
+  0xD192E819, 0xD6990624, 0xF40E3585, 0x106AA070,
+  0x19A4C116, 0x1E376C08, 0x2748774C, 0x34B0BCB5,
+  0x391C0CB3, 0x4ED8AA4A, 0x5B9CCA4F, 0x682E6FF3,
+  0x748F82EE, 0x78A5636F, 0x84C87814, 0x8CC70208,
+  0x90BEFFFA, 0xA4506CEB, 0xBEF9A3F7, 0xC67178F2
+]
+
+var W = new Array(64)
+
+function Sha256 () {
+  this.init()
+
+  this._w = W // new Array(64)
+
+  Hash.call(this, 64, 56)
+}
+
+inherits(Sha256, Hash)
+
+Sha256.prototype.init = function () {
+  this._a = 0x6a09e667
+  this._b = 0xbb67ae85
+  this._c = 0x3c6ef372
+  this._d = 0xa54ff53a
+  this._e = 0x510e527f
+  this._f = 0x9b05688c
+  this._g = 0x1f83d9ab
+  this._h = 0x5be0cd19
+
+  return this
+}
+
+function ch (x, y, z) {
+  return z ^ (x & (y ^ z))
+}
+
+function maj (x, y, z) {
+  return (x & y) | (z & (x | y))
+}
+
+function sigma0 (x) {
+  return (x >>> 2 | x << 30) ^ (x >>> 13 | x << 19) ^ (x >>> 22 | x << 10)
+}
+
+function sigma1 (x) {
+  return (x >>> 6 | x << 26) ^ (x >>> 11 | x << 21) ^ (x >>> 25 | x << 7)
+}
+
+function gamma0 (x) {
+  return (x >>> 7 | x << 25) ^ (x >>> 18 | x << 14) ^ (x >>> 3)
+}
+
+function gamma1 (x) {
+  return (x >>> 17 | x << 15) ^ (x >>> 19 | x << 13) ^ (x >>> 10)
+}
+
+Sha256.prototype._update = function (M) {
+  var W = this._w
+
+  var a = this._a | 0
+  var b = this._b | 0
+  var c = this._c | 0
+  var d = this._d | 0
+  var e = this._e | 0
+  var f = this._f | 0
+  var g = this._g | 0
+  var h = this._h | 0
+
+  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)
+  for (; i < 64; ++i) W[i] = (gamma1(W[i - 2]) + W[i - 7] + gamma0(W[i - 15]) + W[i - 16]) | 0
+
+  for (var j = 0; j < 64; ++j) {
+    var T1 = (h + sigma1(e) + ch(e, f, g) + K[j] + W[j]) | 0
+    var T2 = (sigma0(a) + maj(a, b, c)) | 0
+
+    h = g
+    g = f
+    f = e
+    e = (d + T1) | 0
+    d = c
+    c = b
+    b = a
+    a = (T1 + T2) | 0
+  }
+
+  this._a = (a + this._a) | 0
+  this._b = (b + this._b) | 0
+  this._c = (c + this._c) | 0
+  this._d = (d + this._d) | 0
+  this._e = (e + this._e) | 0
+  this._f = (f + this._f) | 0
+  this._g = (g + this._g) | 0
+  this._h = (h + this._h) | 0
+}
+
+Sha256.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(32)
+
+  H.writeInt32BE(this._a, 0)
+  H.writeInt32BE(this._b, 4)
+  H.writeInt32BE(this._c, 8)
+  H.writeInt32BE(this._d, 12)
+  H.writeInt32BE(this._e, 16)
+  H.writeInt32BE(this._f, 20)
+  H.writeInt32BE(this._g, 24)
+  H.writeInt32BE(this._h, 28)
+
+  return H
+}
+
+module.exports = Sha256
+
+},{"inherits":97,"./hash":141,"safe-buffer":98}],115:[function(require,module,exports) {
+
+/**
+ * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined
+ * in FIPS 180-2
+ * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.
+ * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet
+ *
+ */
+
+var inherits = require('inherits')
+var Sha256 = require('./sha256')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var W = new Array(64)
+
+function Sha224 () {
+  this.init()
+
+  this._w = W // new Array(64)
+
+  Hash.call(this, 64, 56)
+}
+
+inherits(Sha224, Sha256)
+
+Sha224.prototype.init = function () {
+  this._a = 0xc1059ed8
+  this._b = 0x367cd507
+  this._c = 0x3070dd17
+  this._d = 0xf70e5939
+  this._e = 0xffc00b31
+  this._f = 0x68581511
+  this._g = 0x64f98fa7
+  this._h = 0xbefa4fa4
+
+  return this
+}
+
+Sha224.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(28)
+
+  H.writeInt32BE(this._a, 0)
+  H.writeInt32BE(this._b, 4)
+  H.writeInt32BE(this._c, 8)
+  H.writeInt32BE(this._d, 12)
+  H.writeInt32BE(this._e, 16)
+  H.writeInt32BE(this._f, 20)
+  H.writeInt32BE(this._g, 24)
+
+  return H
+}
+
+module.exports = Sha224
+
+},{"inherits":97,"./sha256":116,"./hash":141,"safe-buffer":98}],118:[function(require,module,exports) {
+
+var inherits = require('inherits')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var K = [
+  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,
+  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,
+  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,
+  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,
+  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,
+  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,
+  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,
+  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,
+  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,
+  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,
+  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,
+  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,
+  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,
+  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,
+  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,
+  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,
+  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,
+  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,
+  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,
+  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,
+  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,
+  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,
+  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,
+  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,
+  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,
+  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,
+  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,
+  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,
+  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,
+  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,
+  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,
+  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,
+  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,
+  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,
+  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,
+  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,
+  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,
+  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,
+  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,
+  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817
+]
+
+var W = new Array(160)
+
+function Sha512 () {
+  this.init()
+  this._w = W
+
+  Hash.call(this, 128, 112)
+}
+
+inherits(Sha512, Hash)
+
+Sha512.prototype.init = function () {
+  this._ah = 0x6a09e667
+  this._bh = 0xbb67ae85
+  this._ch = 0x3c6ef372
+  this._dh = 0xa54ff53a
+  this._eh = 0x510e527f
+  this._fh = 0x9b05688c
+  this._gh = 0x1f83d9ab
+  this._hh = 0x5be0cd19
+
+  this._al = 0xf3bcc908
+  this._bl = 0x84caa73b
+  this._cl = 0xfe94f82b
+  this._dl = 0x5f1d36f1
+  this._el = 0xade682d1
+  this._fl = 0x2b3e6c1f
+  this._gl = 0xfb41bd6b
+  this._hl = 0x137e2179
+
+  return this
+}
+
+function Ch (x, y, z) {
+  return z ^ (x & (y ^ z))
+}
+
+function maj (x, y, z) {
+  return (x & y) | (z & (x | y))
+}
+
+function sigma0 (x, xl) {
+  return (x >>> 28 | xl << 4) ^ (xl >>> 2 | x << 30) ^ (xl >>> 7 | x << 25)
+}
+
+function sigma1 (x, xl) {
+  return (x >>> 14 | xl << 18) ^ (x >>> 18 | xl << 14) ^ (xl >>> 9 | x << 23)
+}
+
+function Gamma0 (x, xl) {
+  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7)
+}
+
+function Gamma0l (x, xl) {
+  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7 | xl << 25)
+}
+
+function Gamma1 (x, xl) {
+  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6)
+}
+
+function Gamma1l (x, xl) {
+  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6 | xl << 26)
+}
+
+function getCarry (a, b) {
+  return (a >>> 0) < (b >>> 0) ? 1 : 0
+}
+
+Sha512.prototype._update = function (M) {
+  var W = this._w
+
+  var ah = this._ah | 0
+  var bh = this._bh | 0
+  var ch = this._ch | 0
+  var dh = this._dh | 0
+  var eh = this._eh | 0
+  var fh = this._fh | 0
+  var gh = this._gh | 0
+  var hh = this._hh | 0
+
+  var al = this._al | 0
+  var bl = this._bl | 0
+  var cl = this._cl | 0
+  var dl = this._dl | 0
+  var el = this._el | 0
+  var fl = this._fl | 0
+  var gl = this._gl | 0
+  var hl = this._hl | 0
+
+  for (var i = 0; i < 32; i += 2) {
+    W[i] = M.readInt32BE(i * 4)
+    W[i + 1] = M.readInt32BE(i * 4 + 4)
+  }
+  for (; i < 160; i += 2) {
+    var xh = W[i - 15 * 2]
+    var xl = W[i - 15 * 2 + 1]
+    var gamma0 = Gamma0(xh, xl)
+    var gamma0l = Gamma0l(xl, xh)
+
+    xh = W[i - 2 * 2]
+    xl = W[i - 2 * 2 + 1]
+    var gamma1 = Gamma1(xh, xl)
+    var gamma1l = Gamma1l(xl, xh)
+
+    // W[i] = gamma0 + W[i - 7] + gamma1 + W[i - 16]
+    var Wi7h = W[i - 7 * 2]
+    var Wi7l = W[i - 7 * 2 + 1]
+
+    var Wi16h = W[i - 16 * 2]
+    var Wi16l = W[i - 16 * 2 + 1]
+
+    var Wil = (gamma0l + Wi7l) | 0
+    var Wih = (gamma0 + Wi7h + getCarry(Wil, gamma0l)) | 0
+    Wil = (Wil + gamma1l) | 0
+    Wih = (Wih + gamma1 + getCarry(Wil, gamma1l)) | 0
+    Wil = (Wil + Wi16l) | 0
+    Wih = (Wih + Wi16h + getCarry(Wil, Wi16l)) | 0
+
+    W[i] = Wih
+    W[i + 1] = Wil
+  }
+
+  for (var j = 0; j < 160; j += 2) {
+    Wih = W[j]
+    Wil = W[j + 1]
+
+    var majh = maj(ah, bh, ch)
+    var majl = maj(al, bl, cl)
+
+    var sigma0h = sigma0(ah, al)
+    var sigma0l = sigma0(al, ah)
+    var sigma1h = sigma1(eh, el)
+    var sigma1l = sigma1(el, eh)
+
+    // t1 = h + sigma1 + ch + K[j] + W[j]
+    var Kih = K[j]
+    var Kil = K[j + 1]
+
+    var chh = Ch(eh, fh, gh)
+    var chl = Ch(el, fl, gl)
+
+    var t1l = (hl + sigma1l) | 0
+    var t1h = (hh + sigma1h + getCarry(t1l, hl)) | 0
+    t1l = (t1l + chl) | 0
+    t1h = (t1h + chh + getCarry(t1l, chl)) | 0
+    t1l = (t1l + Kil) | 0
+    t1h = (t1h + Kih + getCarry(t1l, Kil)) | 0
+    t1l = (t1l + Wil) | 0
+    t1h = (t1h + Wih + getCarry(t1l, Wil)) | 0
+
+    // t2 = sigma0 + maj
+    var t2l = (sigma0l + majl) | 0
+    var t2h = (sigma0h + majh + getCarry(t2l, sigma0l)) | 0
+
+    hh = gh
+    hl = gl
+    gh = fh
+    gl = fl
+    fh = eh
+    fl = el
+    el = (dl + t1l) | 0
+    eh = (dh + t1h + getCarry(el, dl)) | 0
+    dh = ch
+    dl = cl
+    ch = bh
+    cl = bl
+    bh = ah
+    bl = al
+    al = (t1l + t2l) | 0
+    ah = (t1h + t2h + getCarry(al, t1l)) | 0
+  }
+
+  this._al = (this._al + al) | 0
+  this._bl = (this._bl + bl) | 0
+  this._cl = (this._cl + cl) | 0
+  this._dl = (this._dl + dl) | 0
+  this._el = (this._el + el) | 0
+  this._fl = (this._fl + fl) | 0
+  this._gl = (this._gl + gl) | 0
+  this._hl = (this._hl + hl) | 0
+
+  this._ah = (this._ah + ah + getCarry(this._al, al)) | 0
+  this._bh = (this._bh + bh + getCarry(this._bl, bl)) | 0
+  this._ch = (this._ch + ch + getCarry(this._cl, cl)) | 0
+  this._dh = (this._dh + dh + getCarry(this._dl, dl)) | 0
+  this._eh = (this._eh + eh + getCarry(this._el, el)) | 0
+  this._fh = (this._fh + fh + getCarry(this._fl, fl)) | 0
+  this._gh = (this._gh + gh + getCarry(this._gl, gl)) | 0
+  this._hh = (this._hh + hh + getCarry(this._hl, hl)) | 0
+}
+
+Sha512.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(64)
+
+  function writeInt64BE (h, l, offset) {
+    H.writeInt32BE(h, offset)
+    H.writeInt32BE(l, offset + 4)
+  }
+
+  writeInt64BE(this._ah, this._al, 0)
+  writeInt64BE(this._bh, this._bl, 8)
+  writeInt64BE(this._ch, this._cl, 16)
+  writeInt64BE(this._dh, this._dl, 24)
+  writeInt64BE(this._eh, this._el, 32)
+  writeInt64BE(this._fh, this._fl, 40)
+  writeInt64BE(this._gh, this._gl, 48)
+  writeInt64BE(this._hh, this._hl, 56)
+
+  return H
+}
+
+module.exports = Sha512
+
+},{"inherits":97,"./hash":141,"safe-buffer":98}],117:[function(require,module,exports) {
+
+var inherits = require('inherits')
+var SHA512 = require('./sha512')
+var Hash = require('./hash')
+var Buffer = require('safe-buffer').Buffer
+
+var W = new Array(160)
+
+function Sha384 () {
+  this.init()
+  this._w = W
+
+  Hash.call(this, 128, 112)
+}
+
+inherits(Sha384, SHA512)
+
+Sha384.prototype.init = function () {
+  this._ah = 0xcbbb9d5d
+  this._bh = 0x629a292a
+  this._ch = 0x9159015a
+  this._dh = 0x152fecd8
+  this._eh = 0x67332667
+  this._fh = 0x8eb44a87
+  this._gh = 0xdb0c2e0d
+  this._hh = 0x47b5481d
+
+  this._al = 0xc1059ed8
+  this._bl = 0x367cd507
+  this._cl = 0x3070dd17
+  this._dl = 0xf70e5939
+  this._el = 0xffc00b31
+  this._fl = 0x68581511
+  this._gl = 0x64f98fa7
+  this._hl = 0xbefa4fa4
+
+  return this
+}
+
+Sha384.prototype._hash = function () {
+  var H = Buffer.allocUnsafe(48)
+
+  function writeInt64BE (h, l, offset) {
+    H.writeInt32BE(h, offset)
+    H.writeInt32BE(l, offset + 4)
+  }
+
+  writeInt64BE(this._ah, this._al, 0)
+  writeInt64BE(this._bh, this._bl, 8)
+  writeInt64BE(this._ch, this._cl, 16)
+  writeInt64BE(this._dh, this._dl, 24)
+  writeInt64BE(this._eh, this._el, 32)
+  writeInt64BE(this._fh, this._fl, 40)
+
+  return H
+}
+
+module.exports = Sha384
+
+},{"inherits":97,"./sha512":118,"./hash":141,"safe-buffer":98}],102:[function(require,module,exports) {
+var exports = module.exports = function SHA (algorithm) {
+  algorithm = algorithm.toLowerCase()
+
+  var Algorithm = exports[algorithm]
+  if (!Algorithm) throw new Error(algorithm + ' is not supported (we accept pull requests)')
+
+  return new Algorithm()
+}
+
+exports.sha = require('./sha')
+exports.sha1 = require('./sha1')
+exports.sha224 = require('./sha224')
+exports.sha256 = require('./sha256')
+exports.sha384 = require('./sha384')
+exports.sha512 = require('./sha512')
+
+},{"./sha":113,"./sha1":114,"./sha224":115,"./sha256":116,"./sha384":117,"./sha512":118}],100:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+var Transform = require('stream').Transform
+var StringDecoder = require('string_decoder').StringDecoder
+var inherits = require('inherits')
+
+function CipherBase (hashMode) {
+  Transform.call(this)
+  this.hashMode = typeof hashMode === 'string'
+  if (this.hashMode) {
+    this[hashMode] = this._finalOrDigest
+  } else {
+    this.final = this._finalOrDigest
+  }
+  if (this._final) {
+    this.__final = this._final
+    this._final = null
+  }
+  this._decoder = null
+  this._encoding = null
+}
+inherits(CipherBase, Transform)
+
+CipherBase.prototype.update = function (data, inputEnc, outputEnc) {
+  if (typeof data === 'string') {
+    data = Buffer.from(data, inputEnc)
+  }
+
+  var outData = this._update(data)
+  if (this.hashMode) return this
+
+  if (outputEnc) {
+    outData = this._toString(outData, outputEnc)
+  }
+
+  return outData
+}
+
+CipherBase.prototype.setAutoPadding = function () {}
+CipherBase.prototype.getAuthTag = function () {
+  throw new Error('trying to get auth tag in unsupported state')
+}
+
+CipherBase.prototype.setAuthTag = function () {
+  throw new Error('trying to set auth tag in unsupported state')
+}
+
+CipherBase.prototype.setAAD = function () {
+  throw new Error('trying to set aad in unsupported state')
+}
+
+CipherBase.prototype._transform = function (data, _, next) {
+  var err
+  try {
+    if (this.hashMode) {
+      this._update(data)
+    } else {
+      this.push(this._update(data))
+    }
+  } catch (e) {
+    err = e
+  } finally {
+    next(err)
+  }
+}
+CipherBase.prototype._flush = function (done) {
+  var err
+  try {
+    this.push(this.__final())
+  } catch (e) {
+    err = e
+  }
+
+  done(err)
+}
+CipherBase.prototype._finalOrDigest = function (outputEnc) {
+  var outData = this.__final() || Buffer.alloc(0)
+  if (outputEnc) {
+    outData = this._toString(outData, outputEnc, true)
+  }
+  return outData
+}
+
+CipherBase.prototype._toString = function (value, enc, fin) {
+  if (!this._decoder) {
+    this._decoder = new StringDecoder(enc)
+    this._encoding = enc
+  }
+
+  if (this._encoding !== enc) throw new Error('can\'t switch encodings')
+
+  var out = this._decoder.write(value)
+  if (fin) {
+    out += this._decoder.end()
+  }
+
+  return out
+}
+
+module.exports = CipherBase
+
+},{"safe-buffer":98,"stream":105,"string_decoder":128,"inherits":97}],75:[function(require,module,exports) {
+'use strict'
+var inherits = require('inherits')
+var MD5 = require('md5.js')
+var RIPEMD160 = require('ripemd160')
+var sha = require('sha.js')
+var Base = require('cipher-base')
+
+function Hash (hash) {
+  Base.call(this, 'digest')
+
+  this._hash = hash
+}
+
+inherits(Hash, Base)
+
+Hash.prototype._update = function (data) {
+  this._hash.update(data)
+}
+
+Hash.prototype._final = function () {
+  return this._hash.digest()
+}
+
+module.exports = function createHash (alg) {
+  alg = alg.toLowerCase()
+  if (alg === 'md5') return new MD5()
+  if (alg === 'rmd160' || alg === 'ripemd160') return new RIPEMD160()
+
+  return new Hash(sha(alg))
+}
+
+},{"inherits":97,"md5.js":99,"ripemd160":101,"sha.js":102,"cipher-base":100}],87:[function(require,module,exports) {
+
+'use strict'
+var inherits = require('inherits')
+var Buffer = require('safe-buffer').Buffer
+
+var Base = require('cipher-base')
+
+var ZEROS = Buffer.alloc(128)
+var blocksize = 64
+
+function Hmac (alg, key) {
+  Base.call(this, 'digest')
+  if (typeof key === 'string') {
+    key = Buffer.from(key)
+  }
+
+  this._alg = alg
+  this._key = key
+
+  if (key.length > blocksize) {
+    key = alg(key)
+  } else if (key.length < blocksize) {
+    key = Buffer.concat([key, ZEROS], blocksize)
+  }
+
+  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)
+  var opad = this._opad = Buffer.allocUnsafe(blocksize)
+
+  for (var i = 0; i < blocksize; i++) {
+    ipad[i] = key[i] ^ 0x36
+    opad[i] = key[i] ^ 0x5C
+  }
+
+  this._hash = [ipad]
+}
+
+inherits(Hmac, Base)
+
+Hmac.prototype._update = function (data) {
+  this._hash.push(data)
+}
+
+Hmac.prototype._final = function () {
+  var h = this._alg(Buffer.concat(this._hash))
+  return this._alg(Buffer.concat([this._opad, h]))
+}
+module.exports = Hmac
+
+},{"inherits":97,"safe-buffer":98,"cipher-base":100}],94:[function(require,module,exports) {
+var MD5 = require('md5.js')
+
+module.exports = function (buffer) {
+  return new MD5().update(buffer).digest()
+}
+
+},{"md5.js":99}],76:[function(require,module,exports) {
+
+'use strict'
+var inherits = require('inherits')
+var Legacy = require('./legacy')
+var Base = require('cipher-base')
+var Buffer = require('safe-buffer').Buffer
+var md5 = require('create-hash/md5')
+var RIPEMD160 = require('ripemd160')
+
+var sha = require('sha.js')
+
+var ZEROS = Buffer.alloc(128)
+
+function Hmac (alg, key) {
+  Base.call(this, 'digest')
+  if (typeof key === 'string') {
+    key = Buffer.from(key)
+  }
+
+  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64
+
+  this._alg = alg
+  this._key = key
+  if (key.length > blocksize) {
+    var hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)
+    key = hash.update(key).digest()
+  } else if (key.length < blocksize) {
+    key = Buffer.concat([key, ZEROS], blocksize)
+  }
+
+  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)
+  var opad = this._opad = Buffer.allocUnsafe(blocksize)
+
+  for (var i = 0; i < blocksize; i++) {
+    ipad[i] = key[i] ^ 0x36
+    opad[i] = key[i] ^ 0x5C
+  }
+  this._hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)
+  this._hash.update(ipad)
+}
+
+inherits(Hmac, Base)
+
+Hmac.prototype._update = function (data) {
+  this._hash.update(data)
+}
+
+Hmac.prototype._final = function () {
+  var h = this._hash.digest()
+  var hash = this._alg === 'rmd160' ? new RIPEMD160() : sha(this._alg)
+  return hash.update(this._opad).update(h).digest()
+}
+
+module.exports = function createHmac (alg, key) {
+  alg = alg.toLowerCase()
+  if (alg === 'rmd160' || alg === 'ripemd160') {
+    return new Hmac('rmd160', key)
+  }
+  if (alg === 'md5') {
+    return new Legacy(md5, key)
+  }
+  return new Hmac(alg, key)
+}
+
+},{"inherits":97,"./legacy":87,"cipher-base":100,"safe-buffer":98,"create-hash/md5":94,"ripemd160":101,"sha.js":102}],88:[function(require,module,exports) {
+module.exports = {
+  "sha224WithRSAEncryption": {
+    "sign": "rsa",
+    "hash": "sha224",
+    "id": "302d300d06096086480165030402040500041c"
+  },
+  "RSA-SHA224": {
+    "sign": "ecdsa/rsa",
+    "hash": "sha224",
+    "id": "302d300d06096086480165030402040500041c"
+  },
+  "sha256WithRSAEncryption": {
+    "sign": "rsa",
+    "hash": "sha256",
+    "id": "3031300d060960864801650304020105000420"
+  },
+  "RSA-SHA256": {
+    "sign": "ecdsa/rsa",
+    "hash": "sha256",
+    "id": "3031300d060960864801650304020105000420"
+  },
+  "sha384WithRSAEncryption": {
+    "sign": "rsa",
+    "hash": "sha384",
+    "id": "3041300d060960864801650304020205000430"
+  },
+  "RSA-SHA384": {
+    "sign": "ecdsa/rsa",
+    "hash": "sha384",
+    "id": "3041300d060960864801650304020205000430"
+  },
+  "sha512WithRSAEncryption": {
+    "sign": "rsa",
+    "hash": "sha512",
+    "id": "3051300d060960864801650304020305000440"
+  },
+  "RSA-SHA512": {
+    "sign": "ecdsa/rsa",
+    "hash": "sha512",
+    "id": "3051300d060960864801650304020305000440"
+  },
+  "RSA-SHA1": {
+    "sign": "rsa",
+    "hash": "sha1",
+    "id": "3021300906052b0e03021a05000414"
+  },
+  "ecdsa-with-SHA1": {
+    "sign": "ecdsa",
+    "hash": "sha1",
+    "id": ""
+  },
+  "sha256": {
+    "sign": "ecdsa",
+    "hash": "sha256",
+    "id": ""
+  },
+  "sha224": {
+    "sign": "ecdsa",
+    "hash": "sha224",
+    "id": ""
+  },
+  "sha384": {
+    "sign": "ecdsa",
+    "hash": "sha384",
+    "id": ""
+  },
+  "sha512": {
+    "sign": "ecdsa",
+    "hash": "sha512",
+    "id": ""
+  },
+  "DSA-SHA": {
+    "sign": "dsa",
+    "hash": "sha1",
+    "id": ""
+  },
+  "DSA-SHA1": {
+    "sign": "dsa",
+    "hash": "sha1",
+    "id": ""
+  },
+  "DSA": {
+    "sign": "dsa",
+    "hash": "sha1",
+    "id": ""
+  },
+  "DSA-WITH-SHA224": {
+    "sign": "dsa",
+    "hash": "sha224",
+    "id": ""
+  },
+  "DSA-SHA224": {
+    "sign": "dsa",
+    "hash": "sha224",
+    "id": ""
+  },
+  "DSA-WITH-SHA256": {
+    "sign": "dsa",
+    "hash": "sha256",
+    "id": ""
+  },
+  "DSA-SHA256": {
+    "sign": "dsa",
+    "hash": "sha256",
+    "id": ""
+  },
+  "DSA-WITH-SHA384": {
+    "sign": "dsa",
+    "hash": "sha384",
+    "id": ""
+  },
+  "DSA-SHA384": {
+    "sign": "dsa",
+    "hash": "sha384",
+    "id": ""
+  },
+  "DSA-WITH-SHA512": {
+    "sign": "dsa",
+    "hash": "sha512",
+    "id": ""
+  },
+  "DSA-SHA512": {
+    "sign": "dsa",
+    "hash": "sha512",
+    "id": ""
+  },
+  "DSA-RIPEMD160": {
+    "sign": "dsa",
+    "hash": "rmd160",
+    "id": ""
+  },
+  "ripemd160WithRSA": {
+    "sign": "rsa",
+    "hash": "rmd160",
+    "id": "3021300906052b2403020105000414"
+  },
+  "RSA-RIPEMD160": {
+    "sign": "rsa",
+    "hash": "rmd160",
+    "id": "3021300906052b2403020105000414"
+  },
+  "md5WithRSAEncryption": {
+    "sign": "rsa",
+    "hash": "md5",
+    "id": "3020300c06082a864886f70d020505000410"
+  },
+  "RSA-MD5": {
+    "sign": "rsa",
+    "hash": "md5",
+    "id": "3020300c06082a864886f70d020505000410"
+  }
+}
+;
+},{}],84:[function(require,module,exports) {
+module.exports = require('./browser/algorithms.json')
+
+},{"./browser/algorithms.json":88}],129:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var MAX_ALLOC = Math.pow(2, 30) - 1; // default in iojs
+
+function checkBuffer(buf, name) {
+  if (typeof buf !== 'string' && !Buffer.isBuffer(buf)) {
+    throw new TypeError(name + ' must be a buffer or string');
+  }
+}
+
+module.exports = function (password, salt, iterations, keylen) {
+  checkBuffer(password, 'Password');
+  checkBuffer(salt, 'Salt');
+
+  if (typeof iterations !== 'number') {
+    throw new TypeError('Iterations not a number');
+  }
+
+  if (iterations < 0) {
+    throw new TypeError('Bad iterations');
+  }
+
+  if (typeof keylen !== 'number') {
+    throw new TypeError('Key length not a number');
+  }
+
+  if (keylen < 0 || keylen > MAX_ALLOC || keylen !== keylen) {
+    /* eslint no-self-compare: 0 */
+    throw new TypeError('Bad key length');
+  }
+};
+},{"buffer":62}],130:[function(require,module,exports) {
+var process = require("process");
+var defaultEncoding;
+/* istanbul ignore next */
+if (process.browser) {
+  defaultEncoding = 'utf-8';
+} else {
+  var pVersionMajor = parseInt(process.version.split('.')[0].slice(1), 10);
+
+  defaultEncoding = pVersionMajor >= 6 ? 'utf-8' : 'binary';
+}
+module.exports = defaultEncoding;
+},{"process":6}],90:[function(require,module,exports) {
+
+var md5 = require('create-hash/md5');
+var rmd160 = require('ripemd160');
+var sha = require('sha.js');
+
+var checkParameters = require('./precondition');
+var defaultEncoding = require('./default-encoding');
+var Buffer = require('safe-buffer').Buffer;
+var ZEROS = Buffer.alloc(128);
+var sizes = {
+  md5: 16,
+  sha1: 20,
+  sha224: 28,
+  sha256: 32,
+  sha384: 48,
+  sha512: 64,
+  rmd160: 20,
+  ripemd160: 20
+};
+
+function Hmac(alg, key, saltLen) {
+  var hash = getDigest(alg);
+  var blocksize = alg === 'sha512' || alg === 'sha384' ? 128 : 64;
+
+  if (key.length > blocksize) {
+    key = hash(key);
+  } else if (key.length < blocksize) {
+    key = Buffer.concat([key, ZEROS], blocksize);
+  }
+
+  var ipad = Buffer.allocUnsafe(blocksize + sizes[alg]);
+  var opad = Buffer.allocUnsafe(blocksize + sizes[alg]);
+  for (var i = 0; i < blocksize; i++) {
+    ipad[i] = key[i] ^ 0x36;
+    opad[i] = key[i] ^ 0x5C;
+  }
+
+  var ipad1 = Buffer.allocUnsafe(blocksize + saltLen + 4);
+  ipad.copy(ipad1, 0, 0, blocksize);
+  this.ipad1 = ipad1;
+  this.ipad2 = ipad;
+  this.opad = opad;
+  this.alg = alg;
+  this.blocksize = blocksize;
+  this.hash = hash;
+  this.size = sizes[alg];
+}
+
+Hmac.prototype.run = function (data, ipad) {
+  data.copy(ipad, this.blocksize);
+  var h = this.hash(ipad);
+  h.copy(this.opad, this.blocksize);
+  return this.hash(this.opad);
+};
+
+function getDigest(alg) {
+  function shaFunc(data) {
+    return sha(alg).update(data).digest();
+  }
+
+  if (alg === 'rmd160' || alg === 'ripemd160') return rmd160;
+  if (alg === 'md5') return md5;
+  return shaFunc;
+}
+
+function pbkdf2(password, salt, iterations, keylen, digest) {
+  checkParameters(password, salt, iterations, keylen);
+
+  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding);
+  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding);
+
+  digest = digest || 'sha1';
+
+  var hmac = new Hmac(digest, password, salt.length);
+
+  var DK = Buffer.allocUnsafe(keylen);
+  var block1 = Buffer.allocUnsafe(salt.length + 4);
+  salt.copy(block1, 0, 0, salt.length);
+
+  var destPos = 0;
+  var hLen = sizes[digest];
+  var l = Math.ceil(keylen / hLen);
+
+  for (var i = 1; i <= l; i++) {
+    block1.writeUInt32BE(i, salt.length);
+
+    var T = hmac.run(block1, hmac.ipad1);
+    var U = T;
+
+    for (var j = 1; j < iterations; j++) {
+      U = hmac.run(U, hmac.ipad2);
+      for (var k = 0; k < hLen; k++) T[k] ^= U[k];
+    }
+
+    T.copy(DK, destPos);
+    destPos += hLen;
+  }
+
+  return DK;
+}
+
+module.exports = pbkdf2;
+},{"create-hash/md5":94,"ripemd160":101,"sha.js":102,"./precondition":129,"./default-encoding":130,"safe-buffer":98}],89:[function(require,module,exports) {
+
+var global = arguments[3];
+var process = require("process");
+var checkParameters = require('./precondition');
+var defaultEncoding = require('./default-encoding');
+var sync = require('./sync');
+var Buffer = require('safe-buffer').Buffer;
+
+var ZERO_BUF;
+var subtle = global.crypto && global.crypto.subtle;
+var toBrowser = {
+  'sha': 'SHA-1',
+  'sha-1': 'SHA-1',
+  'sha1': 'SHA-1',
+  'sha256': 'SHA-256',
+  'sha-256': 'SHA-256',
+  'sha384': 'SHA-384',
+  'sha-384': 'SHA-384',
+  'sha-512': 'SHA-512',
+  'sha512': 'SHA-512'
+};
+var checks = [];
+function checkNative(algo) {
+  if (global.process && !global.process.browser) {
+    return Promise.resolve(false);
+  }
+  if (!subtle || !subtle.importKey || !subtle.deriveBits) {
+    return Promise.resolve(false);
+  }
+  if (checks[algo] !== undefined) {
+    return checks[algo];
+  }
+  ZERO_BUF = ZERO_BUF || Buffer.alloc(8);
+  var prom = browserPbkdf2(ZERO_BUF, ZERO_BUF, 10, 128, algo).then(function () {
+    return true;
+  }).catch(function () {
+    return false;
+  });
+  checks[algo] = prom;
+  return prom;
+}
+
+function browserPbkdf2(password, salt, iterations, length, algo) {
+  return subtle.importKey('raw', password, { name: 'PBKDF2' }, false, ['deriveBits']).then(function (key) {
+    return subtle.deriveBits({
+      name: 'PBKDF2',
+      salt: salt,
+      iterations: iterations,
+      hash: {
+        name: algo
+      }
+    }, key, length << 3);
+  }).then(function (res) {
+    return Buffer.from(res);
+  });
+}
+
+function resolvePromise(promise, callback) {
+  promise.then(function (out) {
+    process.nextTick(function () {
+      callback(null, out);
+    });
+  }, function (e) {
+    process.nextTick(function () {
+      callback(e);
+    });
+  });
+}
+module.exports = function (password, salt, iterations, keylen, digest, callback) {
+  if (typeof digest === 'function') {
+    callback = digest;
+    digest = undefined;
+  }
+
+  digest = digest || 'sha1';
+  var algo = toBrowser[digest.toLowerCase()];
+
+  if (!algo || typeof global.Promise !== 'function') {
+    return process.nextTick(function () {
+      var out;
+      try {
+        out = sync(password, salt, iterations, keylen, digest);
+      } catch (e) {
+        return callback(e);
+      }
+      callback(null, out);
+    });
+  }
+
+  checkParameters(password, salt, iterations, keylen);
+  if (typeof callback !== 'function') throw new Error('No callback provided to pbkdf2');
+  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding);
+  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding);
+
+  resolvePromise(checkNative(algo).then(function (resp) {
+    if (resp) return browserPbkdf2(password, salt, iterations, keylen, algo);
+
+    return sync(password, salt, iterations, keylen, digest);
+  }), callback);
+};
+},{"./precondition":129,"./default-encoding":130,"./sync":90,"safe-buffer":98,"process":6}],77:[function(require,module,exports) {
+exports.pbkdf2 = require('./lib/async');
+exports.pbkdf2Sync = require('./lib/sync');
+},{"./lib/async":89,"./lib/sync":90}],153:[function(require,module,exports) {
+'use strict';
+
+exports.readUInt32BE = function readUInt32BE(bytes, off) {
+  var res =  (bytes[0 + off] << 24) |
+             (bytes[1 + off] << 16) |
+             (bytes[2 + off] << 8) |
+             bytes[3 + off];
+  return res >>> 0;
+};
+
+exports.writeUInt32BE = function writeUInt32BE(bytes, value, off) {
+  bytes[0 + off] = value >>> 24;
+  bytes[1 + off] = (value >>> 16) & 0xff;
+  bytes[2 + off] = (value >>> 8) & 0xff;
+  bytes[3 + off] = value & 0xff;
+};
+
+exports.ip = function ip(inL, inR, out, off) {
+  var outL = 0;
+  var outR = 0;
+
+  for (var i = 6; i >= 0; i -= 2) {
+    for (var j = 0; j <= 24; j += 8) {
+      outL <<= 1;
+      outL |= (inR >>> (j + i)) & 1;
+    }
+    for (var j = 0; j <= 24; j += 8) {
+      outL <<= 1;
+      outL |= (inL >>> (j + i)) & 1;
+    }
+  }
+
+  for (var i = 6; i >= 0; i -= 2) {
+    for (var j = 1; j <= 25; j += 8) {
+      outR <<= 1;
+      outR |= (inR >>> (j + i)) & 1;
+    }
+    for (var j = 1; j <= 25; j += 8) {
+      outR <<= 1;
+      outR |= (inL >>> (j + i)) & 1;
+    }
+  }
+
+  out[off + 0] = outL >>> 0;
+  out[off + 1] = outR >>> 0;
+};
+
+exports.rip = function rip(inL, inR, out, off) {
+  var outL = 0;
+  var outR = 0;
+
+  for (var i = 0; i < 4; i++) {
+    for (var j = 24; j >= 0; j -= 8) {
+      outL <<= 1;
+      outL |= (inR >>> (j + i)) & 1;
+      outL <<= 1;
+      outL |= (inL >>> (j + i)) & 1;
+    }
+  }
+  for (var i = 4; i < 8; i++) {
+    for (var j = 24; j >= 0; j -= 8) {
+      outR <<= 1;
+      outR |= (inR >>> (j + i)) & 1;
+      outR <<= 1;
+      outR |= (inL >>> (j + i)) & 1;
+    }
+  }
+
+  out[off + 0] = outL >>> 0;
+  out[off + 1] = outR >>> 0;
+};
+
+exports.pc1 = function pc1(inL, inR, out, off) {
+  var outL = 0;
+  var outR = 0;
+
+  // 7, 15, 23, 31, 39, 47, 55, 63
+  // 6, 14, 22, 30, 39, 47, 55, 63
+  // 5, 13, 21, 29, 39, 47, 55, 63
+  // 4, 12, 20, 28
+  for (var i = 7; i >= 5; i--) {
+    for (var j = 0; j <= 24; j += 8) {
+      outL <<= 1;
+      outL |= (inR >> (j + i)) & 1;
+    }
+    for (var j = 0; j <= 24; j += 8) {
+      outL <<= 1;
+      outL |= (inL >> (j + i)) & 1;
+    }
+  }
+  for (var j = 0; j <= 24; j += 8) {
+    outL <<= 1;
+    outL |= (inR >> (j + i)) & 1;
+  }
+
+  // 1, 9, 17, 25, 33, 41, 49, 57
+  // 2, 10, 18, 26, 34, 42, 50, 58
+  // 3, 11, 19, 27, 35, 43, 51, 59
+  // 36, 44, 52, 60
+  for (var i = 1; i <= 3; i++) {
+    for (var j = 0; j <= 24; j += 8) {
+      outR <<= 1;
+      outR |= (inR >> (j + i)) & 1;
+    }
+    for (var j = 0; j <= 24; j += 8) {
+      outR <<= 1;
+      outR |= (inL >> (j + i)) & 1;
+    }
+  }
+  for (var j = 0; j <= 24; j += 8) {
+    outR <<= 1;
+    outR |= (inL >> (j + i)) & 1;
+  }
+
+  out[off + 0] = outL >>> 0;
+  out[off + 1] = outR >>> 0;
+};
+
+exports.r28shl = function r28shl(num, shift) {
+  return ((num << shift) & 0xfffffff) | (num >>> (28 - shift));
+};
+
+var pc2table = [
+  // inL => outL
+  14, 11, 17, 4, 27, 23, 25, 0,
+  13, 22, 7, 18, 5, 9, 16, 24,
+  2, 20, 12, 21, 1, 8, 15, 26,
+
+  // inR => outR
+  15, 4, 25, 19, 9, 1, 26, 16,
+  5, 11, 23, 8, 12, 7, 17, 0,
+  22, 3, 10, 14, 6, 20, 27, 24
+];
+
+exports.pc2 = function pc2(inL, inR, out, off) {
+  var outL = 0;
+  var outR = 0;
+
+  var len = pc2table.length >>> 1;
+  for (var i = 0; i < len; i++) {
+    outL <<= 1;
+    outL |= (inL >>> pc2table[i]) & 0x1;
+  }
+  for (var i = len; i < pc2table.length; i++) {
+    outR <<= 1;
+    outR |= (inR >>> pc2table[i]) & 0x1;
+  }
+
+  out[off + 0] = outL >>> 0;
+  out[off + 1] = outR >>> 0;
+};
+
+exports.expand = function expand(r, out, off) {
+  var outL = 0;
+  var outR = 0;
+
+  outL = ((r & 1) << 5) | (r >>> 27);
+  for (var i = 23; i >= 15; i -= 4) {
+    outL <<= 6;
+    outL |= (r >>> i) & 0x3f;
+  }
+  for (var i = 11; i >= 3; i -= 4) {
+    outR |= (r >>> i) & 0x3f;
+    outR <<= 6;
+  }
+  outR |= ((r & 0x1f) << 1) | (r >>> 31);
+
+  out[off + 0] = outL >>> 0;
+  out[off + 1] = outR >>> 0;
+};
+
+var sTable = [
+  14, 0, 4, 15, 13, 7, 1, 4, 2, 14, 15, 2, 11, 13, 8, 1,
+  3, 10, 10, 6, 6, 12, 12, 11, 5, 9, 9, 5, 0, 3, 7, 8,
+  4, 15, 1, 12, 14, 8, 8, 2, 13, 4, 6, 9, 2, 1, 11, 7,
+  15, 5, 12, 11, 9, 3, 7, 14, 3, 10, 10, 0, 5, 6, 0, 13,
+
+  15, 3, 1, 13, 8, 4, 14, 7, 6, 15, 11, 2, 3, 8, 4, 14,
+  9, 12, 7, 0, 2, 1, 13, 10, 12, 6, 0, 9, 5, 11, 10, 5,
+  0, 13, 14, 8, 7, 10, 11, 1, 10, 3, 4, 15, 13, 4, 1, 2,
+  5, 11, 8, 6, 12, 7, 6, 12, 9, 0, 3, 5, 2, 14, 15, 9,
+
+  10, 13, 0, 7, 9, 0, 14, 9, 6, 3, 3, 4, 15, 6, 5, 10,
+  1, 2, 13, 8, 12, 5, 7, 14, 11, 12, 4, 11, 2, 15, 8, 1,
+  13, 1, 6, 10, 4, 13, 9, 0, 8, 6, 15, 9, 3, 8, 0, 7,
+  11, 4, 1, 15, 2, 14, 12, 3, 5, 11, 10, 5, 14, 2, 7, 12,
+
+  7, 13, 13, 8, 14, 11, 3, 5, 0, 6, 6, 15, 9, 0, 10, 3,
+  1, 4, 2, 7, 8, 2, 5, 12, 11, 1, 12, 10, 4, 14, 15, 9,
+  10, 3, 6, 15, 9, 0, 0, 6, 12, 10, 11, 1, 7, 13, 13, 8,
+  15, 9, 1, 4, 3, 5, 14, 11, 5, 12, 2, 7, 8, 2, 4, 14,
+
+  2, 14, 12, 11, 4, 2, 1, 12, 7, 4, 10, 7, 11, 13, 6, 1,
+  8, 5, 5, 0, 3, 15, 15, 10, 13, 3, 0, 9, 14, 8, 9, 6,
+  4, 11, 2, 8, 1, 12, 11, 7, 10, 1, 13, 14, 7, 2, 8, 13,
+  15, 6, 9, 15, 12, 0, 5, 9, 6, 10, 3, 4, 0, 5, 14, 3,
+
+  12, 10, 1, 15, 10, 4, 15, 2, 9, 7, 2, 12, 6, 9, 8, 5,
+  0, 6, 13, 1, 3, 13, 4, 14, 14, 0, 7, 11, 5, 3, 11, 8,
+  9, 4, 14, 3, 15, 2, 5, 12, 2, 9, 8, 5, 12, 15, 3, 10,
+  7, 11, 0, 14, 4, 1, 10, 7, 1, 6, 13, 0, 11, 8, 6, 13,
+
+  4, 13, 11, 0, 2, 11, 14, 7, 15, 4, 0, 9, 8, 1, 13, 10,
+  3, 14, 12, 3, 9, 5, 7, 12, 5, 2, 10, 15, 6, 8, 1, 6,
+  1, 6, 4, 11, 11, 13, 13, 8, 12, 1, 3, 4, 7, 10, 14, 7,
+  10, 9, 15, 5, 6, 0, 8, 15, 0, 14, 5, 2, 9, 3, 2, 12,
+
+  13, 1, 2, 15, 8, 13, 4, 8, 6, 10, 15, 3, 11, 7, 1, 4,
+  10, 12, 9, 5, 3, 6, 14, 11, 5, 0, 0, 14, 12, 9, 7, 2,
+  7, 2, 11, 1, 4, 14, 1, 7, 9, 4, 12, 10, 14, 8, 2, 13,
+  0, 15, 6, 12, 10, 9, 13, 0, 15, 3, 3, 5, 5, 6, 8, 11
+];
+
+exports.substitute = function substitute(inL, inR) {
+  var out = 0;
+  for (var i = 0; i < 4; i++) {
+    var b = (inL >>> (18 - i * 6)) & 0x3f;
+    var sb = sTable[i * 0x40 + b];
+
+    out <<= 4;
+    out |= sb;
+  }
+  for (var i = 0; i < 4; i++) {
+    var b = (inR >>> (18 - i * 6)) & 0x3f;
+    var sb = sTable[4 * 0x40 + i * 0x40 + b];
+
+    out <<= 4;
+    out |= sb;
+  }
+  return out >>> 0;
+};
+
+var permuteTable = [
+  16, 25, 12, 11, 3, 20, 4, 15, 31, 17, 9, 6, 27, 14, 1, 22,
+  30, 24, 8, 18, 0, 5, 29, 23, 13, 19, 2, 26, 10, 21, 28, 7
+];
+
+exports.permute = function permute(num) {
+  var out = 0;
+  for (var i = 0; i < permuteTable.length; i++) {
+    out <<= 1;
+    out |= (num >>> permuteTable[i]) & 0x1;
+  }
+  return out >>> 0;
+};
+
+exports.padSplit = function padSplit(num, size, group) {
+  var str = num.toString(2);
+  while (str.length < size)
+    str = '0' + str;
+
+  var out = [];
+  for (var i = 0; i < size; i += group)
+    out.push(str.slice(i, i + group));
+  return out.join(' ');
+};
+
+},{}],163:[function(require,module,exports) {
+module.exports = assert;
+
+function assert(val, msg) {
+  if (!val)
+    throw new Error(msg || 'Assertion failed');
+}
+
+assert.equal = function assertEqual(l, r, msg) {
+  if (l != r)
+    throw new Error(msg || ('Assertion failed: ' + l + ' != ' + r));
+};
+
+},{}],154:[function(require,module,exports) {
+'use strict';
+
+var assert = require('minimalistic-assert');
+
+function Cipher(options) {
+  this.options = options;
+
+  this.type = this.options.type;
+  this.blockSize = 8;
+  this._init();
+
+  this.buffer = new Array(this.blockSize);
+  this.bufferOff = 0;
+}
+module.exports = Cipher;
+
+Cipher.prototype._init = function _init() {
+  // Might be overrided
+};
+
+Cipher.prototype.update = function update(data) {
+  if (data.length === 0)
+    return [];
+
+  if (this.type === 'decrypt')
+    return this._updateDecrypt(data);
+  else
+    return this._updateEncrypt(data);
+};
+
+Cipher.prototype._buffer = function _buffer(data, off) {
+  // Append data to buffer
+  var min = Math.min(this.buffer.length - this.bufferOff, data.length - off);
+  for (var i = 0; i < min; i++)
+    this.buffer[this.bufferOff + i] = data[off + i];
+  this.bufferOff += min;
+
+  // Shift next
+  return min;
+};
+
+Cipher.prototype._flushBuffer = function _flushBuffer(out, off) {
+  this._update(this.buffer, 0, out, off);
+  this.bufferOff = 0;
+  return this.blockSize;
+};
+
+Cipher.prototype._updateEncrypt = function _updateEncrypt(data) {
+  var inputOff = 0;
+  var outputOff = 0;
+
+  var count = ((this.bufferOff + data.length) / this.blockSize) | 0;
+  var out = new Array(count * this.blockSize);
+
+  if (this.bufferOff !== 0) {
+    inputOff += this._buffer(data, inputOff);
+
+    if (this.bufferOff === this.buffer.length)
+      outputOff += this._flushBuffer(out, outputOff);
+  }
+
+  // Write blocks
+  var max = data.length - ((data.length - inputOff) % this.blockSize);
+  for (; inputOff < max; inputOff += this.blockSize) {
+    this._update(data, inputOff, out, outputOff);
+    outputOff += this.blockSize;
+  }
+
+  // Queue rest
+  for (; inputOff < data.length; inputOff++, this.bufferOff++)
+    this.buffer[this.bufferOff] = data[inputOff];
+
+  return out;
+};
+
+Cipher.prototype._updateDecrypt = function _updateDecrypt(data) {
+  var inputOff = 0;
+  var outputOff = 0;
+
+  var count = Math.ceil((this.bufferOff + data.length) / this.blockSize) - 1;
+  var out = new Array(count * this.blockSize);
+
+  // TODO(indutny): optimize it, this is far from optimal
+  for (; count > 0; count--) {
+    inputOff += this._buffer(data, inputOff);
+    outputOff += this._flushBuffer(out, outputOff);
+  }
+
+  // Buffer rest of the input
+  inputOff += this._buffer(data, inputOff);
+
+  return out;
+};
+
+Cipher.prototype.final = function final(buffer) {
+  var first;
+  if (buffer)
+    first = this.update(buffer);
+
+  var last;
+  if (this.type === 'encrypt')
+    last = this._finalEncrypt();
+  else
+    last = this._finalDecrypt();
+
+  if (first)
+    return first.concat(last);
+  else
+    return last;
+};
+
+Cipher.prototype._pad = function _pad(buffer, off) {
+  if (off === 0)
+    return false;
+
+  while (off < buffer.length)
+    buffer[off++] = 0;
+
+  return true;
+};
+
+Cipher.prototype._finalEncrypt = function _finalEncrypt() {
+  if (!this._pad(this.buffer, this.bufferOff))
+    return [];
+
+  var out = new Array(this.blockSize);
+  this._update(this.buffer, 0, out, 0);
+  return out;
+};
+
+Cipher.prototype._unpad = function _unpad(buffer) {
+  return buffer;
+};
+
+Cipher.prototype._finalDecrypt = function _finalDecrypt() {
+  assert.equal(this.bufferOff, this.blockSize, 'Not enough data to decrypt');
+  var out = new Array(this.blockSize);
+  this._flushBuffer(out, 0);
+
+  return this._unpad(out);
+};
+
+},{"minimalistic-assert":163}],155:[function(require,module,exports) {
+'use strict';
+
+var assert = require('minimalistic-assert');
+var inherits = require('inherits');
+
+var des = require('../des');
+var utils = des.utils;
+var Cipher = des.Cipher;
+
+function DESState() {
+  this.tmp = new Array(2);
+  this.keys = null;
+}
+
+function DES(options) {
+  Cipher.call(this, options);
+
+  var state = new DESState();
+  this._desState = state;
+
+  this.deriveKeys(state, options.key);
+}
+inherits(DES, Cipher);
+module.exports = DES;
+
+DES.create = function create(options) {
+  return new DES(options);
+};
+
+var shiftTable = [
+  1, 1, 2, 2, 2, 2, 2, 2,
+  1, 2, 2, 2, 2, 2, 2, 1
+];
+
+DES.prototype.deriveKeys = function deriveKeys(state, key) {
+  state.keys = new Array(16 * 2);
+
+  assert.equal(key.length, this.blockSize, 'Invalid key length');
+
+  var kL = utils.readUInt32BE(key, 0);
+  var kR = utils.readUInt32BE(key, 4);
+
+  utils.pc1(kL, kR, state.tmp, 0);
+  kL = state.tmp[0];
+  kR = state.tmp[1];
+  for (var i = 0; i < state.keys.length; i += 2) {
+    var shift = shiftTable[i >>> 1];
+    kL = utils.r28shl(kL, shift);
+    kR = utils.r28shl(kR, shift);
+    utils.pc2(kL, kR, state.keys, i);
+  }
+};
+
+DES.prototype._update = function _update(inp, inOff, out, outOff) {
+  var state = this._desState;
+
+  var l = utils.readUInt32BE(inp, inOff);
+  var r = utils.readUInt32BE(inp, inOff + 4);
+
+  // Initial Permutation
+  utils.ip(l, r, state.tmp, 0);
+  l = state.tmp[0];
+  r = state.tmp[1];
+
+  if (this.type === 'encrypt')
+    this._encrypt(state, l, r, state.tmp, 0);
+  else
+    this._decrypt(state, l, r, state.tmp, 0);
+
+  l = state.tmp[0];
+  r = state.tmp[1];
+
+  utils.writeUInt32BE(out, l, outOff);
+  utils.writeUInt32BE(out, r, outOff + 4);
+};
+
+DES.prototype._pad = function _pad(buffer, off) {
+  var value = buffer.length - off;
+  for (var i = off; i < buffer.length; i++)
+    buffer[i] = value;
+
+  return true;
+};
+
+DES.prototype._unpad = function _unpad(buffer) {
+  var pad = buffer[buffer.length - 1];
+  for (var i = buffer.length - pad; i < buffer.length; i++)
+    assert.equal(buffer[i], pad);
+
+  return buffer.slice(0, buffer.length - pad);
+};
+
+DES.prototype._encrypt = function _encrypt(state, lStart, rStart, out, off) {
+  var l = lStart;
+  var r = rStart;
+
+  // Apply f() x16 times
+  for (var i = 0; i < state.keys.length; i += 2) {
+    var keyL = state.keys[i];
+    var keyR = state.keys[i + 1];
+
+    // f(r, k)
+    utils.expand(r, state.tmp, 0);
+
+    keyL ^= state.tmp[0];
+    keyR ^= state.tmp[1];
+    var s = utils.substitute(keyL, keyR);
+    var f = utils.permute(s);
+
+    var t = r;
+    r = (l ^ f) >>> 0;
+    l = t;
+  }
+
+  // Reverse Initial Permutation
+  utils.rip(r, l, out, off);
+};
+
+DES.prototype._decrypt = function _decrypt(state, lStart, rStart, out, off) {
+  var l = rStart;
+  var r = lStart;
+
+  // Apply f() x16 times
+  for (var i = state.keys.length - 2; i >= 0; i -= 2) {
+    var keyL = state.keys[i];
+    var keyR = state.keys[i + 1];
+
+    // f(r, k)
+    utils.expand(l, state.tmp, 0);
+
+    keyL ^= state.tmp[0];
+    keyR ^= state.tmp[1];
+    var s = utils.substitute(keyL, keyR);
+    var f = utils.permute(s);
+
+    var t = l;
+    l = (r ^ f) >>> 0;
+    r = t;
+  }
+
+  // Reverse Initial Permutation
+  utils.rip(l, r, out, off);
+};
+
+},{"minimalistic-assert":163,"inherits":97,"../des":131}],156:[function(require,module,exports) {
+'use strict';
+
+var assert = require('minimalistic-assert');
+var inherits = require('inherits');
+
+var proto = {};
+
+function CBCState(iv) {
+  assert.equal(iv.length, 8, 'Invalid IV length');
+
+  this.iv = new Array(8);
+  for (var i = 0; i < this.iv.length; i++)
+    this.iv[i] = iv[i];
+}
+
+function instantiate(Base) {
+  function CBC(options) {
+    Base.call(this, options);
+    this._cbcInit();
+  }
+  inherits(CBC, Base);
+
+  var keys = Object.keys(proto);
+  for (var i = 0; i < keys.length; i++) {
+    var key = keys[i];
+    CBC.prototype[key] = proto[key];
+  }
+
+  CBC.create = function create(options) {
+    return new CBC(options);
+  };
+
+  return CBC;
+}
+
+exports.instantiate = instantiate;
+
+proto._cbcInit = function _cbcInit() {
+  var state = new CBCState(this.options.iv);
+  this._cbcState = state;
+};
+
+proto._update = function _update(inp, inOff, out, outOff) {
+  var state = this._cbcState;
+  var superProto = this.constructor.super_.prototype;
+
+  var iv = state.iv;
+  if (this.type === 'encrypt') {
+    for (var i = 0; i < this.blockSize; i++)
+      iv[i] ^= inp[inOff + i];
+
+    superProto._update.call(this, iv, 0, out, outOff);
+
+    for (var i = 0; i < this.blockSize; i++)
+      iv[i] = out[outOff + i];
+  } else {
+    superProto._update.call(this, inp, inOff, out, outOff);
+
+    for (var i = 0; i < this.blockSize; i++)
+      out[outOff + i] ^= iv[i];
+
+    for (var i = 0; i < this.blockSize; i++)
+      iv[i] = inp[inOff + i];
+  }
+};
+
+},{"minimalistic-assert":163,"inherits":97}],157:[function(require,module,exports) {
+'use strict';
+
+var assert = require('minimalistic-assert');
+var inherits = require('inherits');
+
+var des = require('../des');
+var Cipher = des.Cipher;
+var DES = des.DES;
+
+function EDEState(type, key) {
+  assert.equal(key.length, 24, 'Invalid key length');
+
+  var k1 = key.slice(0, 8);
+  var k2 = key.slice(8, 16);
+  var k3 = key.slice(16, 24);
+
+  if (type === 'encrypt') {
+    this.ciphers = [
+      DES.create({ type: 'encrypt', key: k1 }),
+      DES.create({ type: 'decrypt', key: k2 }),
+      DES.create({ type: 'encrypt', key: k3 })
+    ];
+  } else {
+    this.ciphers = [
+      DES.create({ type: 'decrypt', key: k3 }),
+      DES.create({ type: 'encrypt', key: k2 }),
+      DES.create({ type: 'decrypt', key: k1 })
+    ];
+  }
+}
+
+function EDE(options) {
+  Cipher.call(this, options);
+
+  var state = new EDEState(this.type, this.options.key);
+  this._edeState = state;
+}
+inherits(EDE, Cipher);
+
+module.exports = EDE;
+
+EDE.create = function create(options) {
+  return new EDE(options);
+};
+
+EDE.prototype._update = function _update(inp, inOff, out, outOff) {
+  var state = this._edeState;
+
+  state.ciphers[0]._update(inp, inOff, out, outOff);
+  state.ciphers[1]._update(out, outOff, out, outOff);
+  state.ciphers[2]._update(out, outOff, out, outOff);
+};
+
+EDE.prototype._pad = DES.prototype._pad;
+EDE.prototype._unpad = DES.prototype._unpad;
+
+},{"minimalistic-assert":163,"inherits":97,"../des":131}],131:[function(require,module,exports) {
+'use strict';
+
+exports.utils = require('./des/utils');
+exports.Cipher = require('./des/cipher');
+exports.DES = require('./des/des');
+exports.CBC = require('./des/cbc');
+exports.EDE = require('./des/ede');
+
+},{"./des/utils":153,"./des/cipher":154,"./des/des":155,"./des/cbc":156,"./des/ede":157}],103:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var CipherBase = require('cipher-base')
+var des = require('des.js')
+var inherits = require('inherits')
+
+var modes = {
+  'des-ede3-cbc': des.CBC.instantiate(des.EDE),
+  'des-ede3': des.EDE,
+  'des-ede-cbc': des.CBC.instantiate(des.EDE),
+  'des-ede': des.EDE,
+  'des-cbc': des.CBC.instantiate(des.DES),
+  'des-ecb': des.DES
+}
+modes.des = modes['des-cbc']
+modes.des3 = modes['des-ede3-cbc']
+module.exports = DES
+inherits(DES, CipherBase)
+function DES (opts) {
+  CipherBase.call(this)
+  var modeName = opts.mode.toLowerCase()
+  var mode = modes[modeName]
+  var type
+  if (opts.decrypt) {
+    type = 'decrypt'
+  } else {
+    type = 'encrypt'
+  }
+  var key = opts.key
+  if (modeName === 'des-ede' || modeName === 'des-ede-cbc') {
+    key = Buffer.concat([key, key.slice(0, 8)])
+  }
+  var iv = opts.iv
+  this._des = mode.create({
+    key: key,
+    iv: iv,
+    type: type
+  })
+}
+DES.prototype._update = function (data) {
+  return new Buffer(this._des.update(data))
+}
+DES.prototype._final = function () {
+  return new Buffer(this._des.final())
+}
+
+},{"cipher-base":100,"des.js":131,"inherits":97,"buffer":62}],171:[function(require,module,exports) {
+exports.encrypt = function (self, block) {
+  return self._cipher.encryptBlock(block)
+}
+
+exports.decrypt = function (self, block) {
+  return self._cipher.decryptBlock(block)
+}
+
+},{}],167:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+module.exports = function xor (a, b) {
+  var length = Math.min(a.length, b.length)
+  var buffer = new Buffer(length)
+
+  for (var i = 0; i < length; ++i) {
+    buffer[i] = a[i] ^ b[i]
+  }
+
+  return buffer
+}
+
+},{"buffer":62}],172:[function(require,module,exports) {
+var xor = require('buffer-xor')
+
+exports.encrypt = function (self, block) {
+  var data = xor(block, self._prev)
+
+  self._prev = self._cipher.encryptBlock(data)
+  return self._prev
+}
+
+exports.decrypt = function (self, block) {
+  var pad = self._prev
+
+  self._prev = block
+  var out = self._cipher.decryptBlock(block)
+
+  return xor(out, pad)
+}
+
+},{"buffer-xor":167}],173:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+var xor = require('buffer-xor')
+
+function encryptStart (self, data, decrypt) {
+  var len = data.length
+  var out = xor(data, self._cache)
+  self._cache = self._cache.slice(len)
+  self._prev = Buffer.concat([self._prev, decrypt ? data : out])
+  return out
+}
+
+exports.encrypt = function (self, data, decrypt) {
+  var out = Buffer.allocUnsafe(0)
+  var len
+
+  while (data.length) {
+    if (self._cache.length === 0) {
+      self._cache = self._cipher.encryptBlock(self._prev)
+      self._prev = Buffer.allocUnsafe(0)
+    }
+
+    if (self._cache.length <= data.length) {
+      len = self._cache.length
+      out = Buffer.concat([out, encryptStart(self, data.slice(0, len), decrypt)])
+      data = data.slice(len)
+    } else {
+      out = Buffer.concat([out, encryptStart(self, data, decrypt)])
+      break
+    }
+  }
+
+  return out
+}
+
+},{"safe-buffer":98,"buffer-xor":167}],174:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+
+function encryptByte (self, byteParam, decrypt) {
+  var pad = self._cipher.encryptBlock(self._prev)
+  var out = pad[0] ^ byteParam
+
+  self._prev = Buffer.concat([
+    self._prev.slice(1),
+    Buffer.from([decrypt ? byteParam : out])
+  ])
+
+  return out
+}
+
+exports.encrypt = function (self, chunk, decrypt) {
+  var len = chunk.length
+  var out = Buffer.allocUnsafe(len)
+  var i = -1
+
+  while (++i < len) {
+    out[i] = encryptByte(self, chunk[i], decrypt)
+  }
+
+  return out
+}
+
+},{"safe-buffer":98}],175:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+
+function encryptByte (self, byteParam, decrypt) {
+  var pad
+  var i = -1
+  var len = 8
+  var out = 0
+  var bit, value
+  while (++i < len) {
+    pad = self._cipher.encryptBlock(self._prev)
+    bit = (byteParam & (1 << (7 - i))) ? 0x80 : 0
+    value = pad[0] ^ bit
+    out += ((value & 0x80) >> (i % 8))
+    self._prev = shiftIn(self._prev, decrypt ? bit : value)
+  }
+  return out
+}
+
+function shiftIn (buffer, value) {
+  var len = buffer.length
+  var i = -1
+  var out = Buffer.allocUnsafe(buffer.length)
+  buffer = Buffer.concat([buffer, Buffer.from([value])])
+
+  while (++i < len) {
+    out[i] = buffer[i] << 1 | buffer[i + 1] >> (7)
+  }
+
+  return out
+}
+
+exports.encrypt = function (self, chunk, decrypt) {
+  var len = chunk.length
+  var out = Buffer.allocUnsafe(len)
+  var i = -1
+
+  while (++i < len) {
+    out[i] = encryptByte(self, chunk[i], decrypt)
+  }
+
+  return out
+}
+
+},{"safe-buffer":98}],176:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var xor = require('buffer-xor')
+
+function getBlock (self) {
+  self._prev = self._cipher.encryptBlock(self._prev)
+  return self._prev
+}
+
+exports.encrypt = function (self, chunk) {
+  while (self._cache.length < chunk.length) {
+    self._cache = Buffer.concat([self._cache, getBlock(self)])
+  }
+
+  var pad = self._cache.slice(0, chunk.length)
+  self._cache = self._cache.slice(chunk.length)
+  return xor(chunk, pad)
+}
+
+},{"buffer-xor":167,"buffer":62}],161:[function(require,module,exports) {
+function incr32 (iv) {
+  var len = iv.length
+  var item
+  while (len--) {
+    item = iv.readUInt8(len)
+    if (item === 255) {
+      iv.writeUInt8(0, len)
+    } else {
+      item++
+      iv.writeUInt8(item, len)
+      break
+    }
+  }
+}
+module.exports = incr32
+
+},{}],177:[function(require,module,exports) {
+
+var xor = require('buffer-xor')
+var Buffer = require('safe-buffer').Buffer
+var incr32 = require('../incr32')
+
+function getBlock (self) {
+  var out = self._cipher.encryptBlockRaw(self._prev)
+  incr32(self._prev)
+  return out
+}
+
+var blockSize = 16
+exports.encrypt = function (self, chunk) {
+  var chunkNum = Math.ceil(chunk.length / blockSize)
+  var start = self._cache.length
+  self._cache = Buffer.concat([
+    self._cache,
+    Buffer.allocUnsafe(chunkNum * blockSize)
+  ])
+  for (var i = 0; i < chunkNum; i++) {
+    var out = getBlock(self)
+    var offset = start + i * blockSize
+    self._cache.writeUInt32BE(out[0], offset + 0)
+    self._cache.writeUInt32BE(out[1], offset + 4)
+    self._cache.writeUInt32BE(out[2], offset + 8)
+    self._cache.writeUInt32BE(out[3], offset + 12)
+  }
+  var pad = self._cache.slice(0, chunk.length)
+  self._cache = self._cache.slice(chunk.length)
+  return xor(chunk, pad)
+}
+
+},{"buffer-xor":167,"safe-buffer":98,"../incr32":161}],119:[function(require,module,exports) {
+module.exports = {
+  "aes-128-ecb": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 0,
+    "mode": "ECB",
+    "type": "block"
+  },
+  "aes-192-ecb": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 0,
+    "mode": "ECB",
+    "type": "block"
+  },
+  "aes-256-ecb": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 0,
+    "mode": "ECB",
+    "type": "block"
+  },
+  "aes-128-cbc": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes-192-cbc": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes-256-cbc": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes128": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes192": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes256": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CBC",
+    "type": "block"
+  },
+  "aes-128-cfb": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CFB",
+    "type": "stream"
+  },
+  "aes-192-cfb": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CFB",
+    "type": "stream"
+  },
+  "aes-256-cfb": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CFB",
+    "type": "stream"
+  },
+  "aes-128-cfb8": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CFB8",
+    "type": "stream"
+  },
+  "aes-192-cfb8": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CFB8",
+    "type": "stream"
+  },
+  "aes-256-cfb8": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CFB8",
+    "type": "stream"
+  },
+  "aes-128-cfb1": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CFB1",
+    "type": "stream"
+  },
+  "aes-192-cfb1": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CFB1",
+    "type": "stream"
+  },
+  "aes-256-cfb1": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CFB1",
+    "type": "stream"
+  },
+  "aes-128-ofb": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "OFB",
+    "type": "stream"
+  },
+  "aes-192-ofb": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "OFB",
+    "type": "stream"
+  },
+  "aes-256-ofb": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "OFB",
+    "type": "stream"
+  },
+  "aes-128-ctr": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 16,
+    "mode": "CTR",
+    "type": "stream"
+  },
+  "aes-192-ctr": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 16,
+    "mode": "CTR",
+    "type": "stream"
+  },
+  "aes-256-ctr": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 16,
+    "mode": "CTR",
+    "type": "stream"
+  },
+  "aes-128-gcm": {
+    "cipher": "AES",
+    "key": 128,
+    "iv": 12,
+    "mode": "GCM",
+    "type": "auth"
+  },
+  "aes-192-gcm": {
+    "cipher": "AES",
+    "key": 192,
+    "iv": 12,
+    "mode": "GCM",
+    "type": "auth"
+  },
+  "aes-256-gcm": {
+    "cipher": "AES",
+    "key": 256,
+    "iv": 12,
+    "mode": "GCM",
+    "type": "auth"
+  }
+}
+;
+},{}],165:[function(require,module,exports) {
+var modeModules = {
+  ECB: require('./ecb'),
+  CBC: require('./cbc'),
+  CFB: require('./cfb'),
+  CFB8: require('./cfb8'),
+  CFB1: require('./cfb1'),
+  OFB: require('./ofb'),
+  CTR: require('./ctr'),
+  GCM: require('./ctr')
+}
+
+var modes = require('./list.json')
+
+for (var key in modes) {
+  modes[key].module = modeModules[modes[key].mode]
+}
+
+module.exports = modes
+
+},{"./ecb":171,"./cbc":172,"./cfb":173,"./cfb8":174,"./cfb1":175,"./ofb":176,"./ctr":177,"./list.json":119}],145:[function(require,module,exports) {
+
+// based on the aes implimentation in triple sec
+// https://github.com/keybase/triplesec
+// which is in turn based on the one from crypto-js
+// https://code.google.com/p/crypto-js/
+
+var Buffer = require('safe-buffer').Buffer
+
+function asUInt32Array (buf) {
+  if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf)
+
+  var len = (buf.length / 4) | 0
+  var out = new Array(len)
+
+  for (var i = 0; i < len; i++) {
+    out[i] = buf.readUInt32BE(i * 4)
+  }
+
+  return out
+}
+
+function scrubVec (v) {
+  for (var i = 0; i < v.length; v++) {
+    v[i] = 0
+  }
+}
+
+function cryptBlock (M, keySchedule, SUB_MIX, SBOX, nRounds) {
+  var SUB_MIX0 = SUB_MIX[0]
+  var SUB_MIX1 = SUB_MIX[1]
+  var SUB_MIX2 = SUB_MIX[2]
+  var SUB_MIX3 = SUB_MIX[3]
+
+  var s0 = M[0] ^ keySchedule[0]
+  var s1 = M[1] ^ keySchedule[1]
+  var s2 = M[2] ^ keySchedule[2]
+  var s3 = M[3] ^ keySchedule[3]
+  var t0, t1, t2, t3
+  var ksRow = 4
+
+  for (var round = 1; round < nRounds; round++) {
+    t0 = SUB_MIX0[s0 >>> 24] ^ SUB_MIX1[(s1 >>> 16) & 0xff] ^ SUB_MIX2[(s2 >>> 8) & 0xff] ^ SUB_MIX3[s3 & 0xff] ^ keySchedule[ksRow++]
+    t1 = SUB_MIX0[s1 >>> 24] ^ SUB_MIX1[(s2 >>> 16) & 0xff] ^ SUB_MIX2[(s3 >>> 8) & 0xff] ^ SUB_MIX3[s0 & 0xff] ^ keySchedule[ksRow++]
+    t2 = SUB_MIX0[s2 >>> 24] ^ SUB_MIX1[(s3 >>> 16) & 0xff] ^ SUB_MIX2[(s0 >>> 8) & 0xff] ^ SUB_MIX3[s1 & 0xff] ^ keySchedule[ksRow++]
+    t3 = SUB_MIX0[s3 >>> 24] ^ SUB_MIX1[(s0 >>> 16) & 0xff] ^ SUB_MIX2[(s1 >>> 8) & 0xff] ^ SUB_MIX3[s2 & 0xff] ^ keySchedule[ksRow++]
+    s0 = t0
+    s1 = t1
+    s2 = t2
+    s3 = t3
+  }
+
+  t0 = ((SBOX[s0 >>> 24] << 24) | (SBOX[(s1 >>> 16) & 0xff] << 16) | (SBOX[(s2 >>> 8) & 0xff] << 8) | SBOX[s3 & 0xff]) ^ keySchedule[ksRow++]
+  t1 = ((SBOX[s1 >>> 24] << 24) | (SBOX[(s2 >>> 16) & 0xff] << 16) | (SBOX[(s3 >>> 8) & 0xff] << 8) | SBOX[s0 & 0xff]) ^ keySchedule[ksRow++]
+  t2 = ((SBOX[s2 >>> 24] << 24) | (SBOX[(s3 >>> 16) & 0xff] << 16) | (SBOX[(s0 >>> 8) & 0xff] << 8) | SBOX[s1 & 0xff]) ^ keySchedule[ksRow++]
+  t3 = ((SBOX[s3 >>> 24] << 24) | (SBOX[(s0 >>> 16) & 0xff] << 16) | (SBOX[(s1 >>> 8) & 0xff] << 8) | SBOX[s2 & 0xff]) ^ keySchedule[ksRow++]
+  t0 = t0 >>> 0
+  t1 = t1 >>> 0
+  t2 = t2 >>> 0
+  t3 = t3 >>> 0
+
+  return [t0, t1, t2, t3]
+}
+
+// AES constants
+var RCON = [0x00, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36]
+var G = (function () {
+  // Compute double table
+  var d = new Array(256)
+  for (var j = 0; j < 256; j++) {
+    if (j < 128) {
+      d[j] = j << 1
+    } else {
+      d[j] = (j << 1) ^ 0x11b
+    }
+  }
+
+  var SBOX = []
+  var INV_SBOX = []
+  var SUB_MIX = [[], [], [], []]
+  var INV_SUB_MIX = [[], [], [], []]
+
+  // Walk GF(2^8)
+  var x = 0
+  var xi = 0
+  for (var i = 0; i < 256; ++i) {
+    // Compute sbox
+    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)
+    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63
+    SBOX[x] = sx
+    INV_SBOX[sx] = x
+
+    // Compute multiplication
+    var x2 = d[x]
+    var x4 = d[x2]
+    var x8 = d[x4]
+
+    // Compute sub bytes, mix columns tables
+    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)
+    SUB_MIX[0][x] = (t << 24) | (t >>> 8)
+    SUB_MIX[1][x] = (t << 16) | (t >>> 16)
+    SUB_MIX[2][x] = (t << 8) | (t >>> 24)
+    SUB_MIX[3][x] = t
+
+    // Compute inv sub bytes, inv mix columns tables
+    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)
+    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)
+    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)
+    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)
+    INV_SUB_MIX[3][sx] = t
+
+    if (x === 0) {
+      x = xi = 1
+    } else {
+      x = x2 ^ d[d[d[x8 ^ x2]]]
+      xi ^= d[d[xi]]
+    }
+  }
+
+  return {
+    SBOX: SBOX,
+    INV_SBOX: INV_SBOX,
+    SUB_MIX: SUB_MIX,
+    INV_SUB_MIX: INV_SUB_MIX
+  }
+})()
+
+function AES (key) {
+  this._key = asUInt32Array(key)
+  this._reset()
+}
+
+AES.blockSize = 4 * 4
+AES.keySize = 256 / 8
+AES.prototype.blockSize = AES.blockSize
+AES.prototype.keySize = AES.keySize
+AES.prototype._reset = function () {
+  var keyWords = this._key
+  var keySize = keyWords.length
+  var nRounds = keySize + 6
+  var ksRows = (nRounds + 1) * 4
+
+  var keySchedule = []
+  for (var k = 0; k < keySize; k++) {
+    keySchedule[k] = keyWords[k]
+  }
+
+  for (k = keySize; k < ksRows; k++) {
+    var t = keySchedule[k - 1]
+
+    if (k % keySize === 0) {
+      t = (t << 8) | (t >>> 24)
+      t =
+        (G.SBOX[t >>> 24] << 24) |
+        (G.SBOX[(t >>> 16) & 0xff] << 16) |
+        (G.SBOX[(t >>> 8) & 0xff] << 8) |
+        (G.SBOX[t & 0xff])
+
+      t ^= RCON[(k / keySize) | 0] << 24
+    } else if (keySize > 6 && k % keySize === 4) {
+      t =
+        (G.SBOX[t >>> 24] << 24) |
+        (G.SBOX[(t >>> 16) & 0xff] << 16) |
+        (G.SBOX[(t >>> 8) & 0xff] << 8) |
+        (G.SBOX[t & 0xff])
+    }
+
+    keySchedule[k] = keySchedule[k - keySize] ^ t
+  }
+
+  var invKeySchedule = []
+  for (var ik = 0; ik < ksRows; ik++) {
+    var ksR = ksRows - ik
+    var tt = keySchedule[ksR - (ik % 4 ? 0 : 4)]
+
+    if (ik < 4 || ksR <= 4) {
+      invKeySchedule[ik] = tt
+    } else {
+      invKeySchedule[ik] =
+        G.INV_SUB_MIX[0][G.SBOX[tt >>> 24]] ^
+        G.INV_SUB_MIX[1][G.SBOX[(tt >>> 16) & 0xff]] ^
+        G.INV_SUB_MIX[2][G.SBOX[(tt >>> 8) & 0xff]] ^
+        G.INV_SUB_MIX[3][G.SBOX[tt & 0xff]]
+    }
+  }
+
+  this._nRounds = nRounds
+  this._keySchedule = keySchedule
+  this._invKeySchedule = invKeySchedule
+}
+
+AES.prototype.encryptBlockRaw = function (M) {
+  M = asUInt32Array(M)
+  return cryptBlock(M, this._keySchedule, G.SUB_MIX, G.SBOX, this._nRounds)
+}
+
+AES.prototype.encryptBlock = function (M) {
+  var out = this.encryptBlockRaw(M)
+  var buf = Buffer.allocUnsafe(16)
+  buf.writeUInt32BE(out[0], 0)
+  buf.writeUInt32BE(out[1], 4)
+  buf.writeUInt32BE(out[2], 8)
+  buf.writeUInt32BE(out[3], 12)
+  return buf
+}
+
+AES.prototype.decryptBlock = function (M) {
+  M = asUInt32Array(M)
+
+  // swap
+  var m1 = M[1]
+  M[1] = M[3]
+  M[3] = m1
+
+  var out = cryptBlock(M, this._invKeySchedule, G.INV_SUB_MIX, G.INV_SBOX, this._nRounds)
+  var buf = Buffer.allocUnsafe(16)
+  buf.writeUInt32BE(out[0], 0)
+  buf.writeUInt32BE(out[3], 4)
+  buf.writeUInt32BE(out[2], 8)
+  buf.writeUInt32BE(out[1], 12)
+  return buf
+}
+
+AES.prototype.scrub = function () {
+  scrubVec(this._keySchedule)
+  scrubVec(this._invKeySchedule)
+  scrubVec(this._key)
+}
+
+module.exports.AES = AES
+
+},{"safe-buffer":98}],160:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+var ZEROES = Buffer.alloc(16, 0)
+
+function toArray (buf) {
+  return [
+    buf.readUInt32BE(0),
+    buf.readUInt32BE(4),
+    buf.readUInt32BE(8),
+    buf.readUInt32BE(12)
+  ]
+}
+
+function fromArray (out) {
+  var buf = Buffer.allocUnsafe(16)
+  buf.writeUInt32BE(out[0] >>> 0, 0)
+  buf.writeUInt32BE(out[1] >>> 0, 4)
+  buf.writeUInt32BE(out[2] >>> 0, 8)
+  buf.writeUInt32BE(out[3] >>> 0, 12)
+  return buf
+}
+
+function GHASH (key) {
+  this.h = key
+  this.state = Buffer.alloc(16, 0)
+  this.cache = Buffer.allocUnsafe(0)
+}
+
+// from http://bitwiseshiftleft.github.io/sjcl/doc/symbols/src/core_gcm.js.html
+// by Juho Vähä-Herttua
+GHASH.prototype.ghash = function (block) {
+  var i = -1
+  while (++i < block.length) {
+    this.state[i] ^= block[i]
+  }
+  this._multiply()
+}
+
+GHASH.prototype._multiply = function () {
+  var Vi = toArray(this.h)
+  var Zi = [0, 0, 0, 0]
+  var j, xi, lsbVi
+  var i = -1
+  while (++i < 128) {
+    xi = (this.state[~~(i / 8)] & (1 << (7 - (i % 8)))) !== 0
+    if (xi) {
+      // Z_i+1 = Z_i ^ V_i
+      Zi[0] ^= Vi[0]
+      Zi[1] ^= Vi[1]
+      Zi[2] ^= Vi[2]
+      Zi[3] ^= Vi[3]
+    }
+
+    // Store the value of LSB(V_i)
+    lsbVi = (Vi[3] & 1) !== 0
+
+    // V_i+1 = V_i >> 1
+    for (j = 3; j > 0; j--) {
+      Vi[j] = (Vi[j] >>> 1) | ((Vi[j - 1] & 1) << 31)
+    }
+    Vi[0] = Vi[0] >>> 1
+
+    // If LSB(V_i) is 1, V_i+1 = (V_i >> 1) ^ R
+    if (lsbVi) {
+      Vi[0] = Vi[0] ^ (0xe1 << 24)
+    }
+  }
+  this.state = fromArray(Zi)
+}
+
+GHASH.prototype.update = function (buf) {
+  this.cache = Buffer.concat([this.cache, buf])
+  var chunk
+  while (this.cache.length >= 16) {
+    chunk = this.cache.slice(0, 16)
+    this.cache = this.cache.slice(16)
+    this.ghash(chunk)
+  }
+}
+
+GHASH.prototype.final = function (abl, bl) {
+  if (this.cache.length) {
+    this.ghash(Buffer.concat([this.cache, ZEROES], 16))
+  }
+
+  this.ghash(fromArray([0, abl, 0, bl]))
+  return this.state
+}
+
+module.exports = GHASH
+
+},{"safe-buffer":98}],143:[function(require,module,exports) {
+
+var aes = require('./aes')
+var Buffer = require('safe-buffer').Buffer
+var Transform = require('cipher-base')
+var inherits = require('inherits')
+var GHASH = require('./ghash')
+var xor = require('buffer-xor')
+var incr32 = require('./incr32')
+
+function xorTest (a, b) {
+  var out = 0
+  if (a.length !== b.length) out++
+
+  var len = Math.min(a.length, b.length)
+  for (var i = 0; i < len; ++i) {
+    out += (a[i] ^ b[i])
+  }
+
+  return out
+}
+
+function calcIv (self, iv, ck) {
+  if (iv.length === 12) {
+    self._finID = Buffer.concat([iv, Buffer.from([0, 0, 0, 1])])
+    return Buffer.concat([iv, Buffer.from([0, 0, 0, 2])])
+  }
+  var ghash = new GHASH(ck)
+  var len = iv.length
+  var toPad = len % 16
+  ghash.update(iv)
+  if (toPad) {
+    toPad = 16 - toPad
+    ghash.update(Buffer.alloc(toPad, 0))
+  }
+  ghash.update(Buffer.alloc(8, 0))
+  var ivBits = len * 8
+  var tail = Buffer.alloc(8)
+  tail.writeUIntBE(ivBits, 0, 8)
+  ghash.update(tail)
+  self._finID = ghash.state
+  var out = Buffer.from(self._finID)
+  incr32(out)
+  return out
+}
+function StreamCipher (mode, key, iv, decrypt) {
+  Transform.call(this)
+
+  var h = Buffer.alloc(4, 0)
+
+  this._cipher = new aes.AES(key)
+  var ck = this._cipher.encryptBlock(h)
+  this._ghash = new GHASH(ck)
+  iv = calcIv(this, iv, ck)
+
+  this._prev = Buffer.from(iv)
+  this._cache = Buffer.allocUnsafe(0)
+  this._secCache = Buffer.allocUnsafe(0)
+  this._decrypt = decrypt
+  this._alen = 0
+  this._len = 0
+  this._mode = mode
+
+  this._authTag = null
+  this._called = false
+}
+
+inherits(StreamCipher, Transform)
+
+StreamCipher.prototype._update = function (chunk) {
+  if (!this._called && this._alen) {
+    var rump = 16 - (this._alen % 16)
+    if (rump < 16) {
+      rump = Buffer.alloc(rump, 0)
+      this._ghash.update(rump)
+    }
+  }
+
+  this._called = true
+  var out = this._mode.encrypt(this, chunk)
+  if (this._decrypt) {
+    this._ghash.update(chunk)
+  } else {
+    this._ghash.update(out)
+  }
+  this._len += chunk.length
+  return out
+}
+
+StreamCipher.prototype._final = function () {
+  if (this._decrypt && !this._authTag) throw new Error('Unsupported state or unable to authenticate data')
+
+  var tag = xor(this._ghash.final(this._alen * 8, this._len * 8), this._cipher.encryptBlock(this._finID))
+  if (this._decrypt && xorTest(tag, this._authTag)) throw new Error('Unsupported state or unable to authenticate data')
+
+  this._authTag = tag
+  this._cipher.scrub()
+}
+
+StreamCipher.prototype.getAuthTag = function getAuthTag () {
+  if (this._decrypt || !Buffer.isBuffer(this._authTag)) throw new Error('Attempting to get auth tag in unsupported state')
+
+  return this._authTag
+}
+
+StreamCipher.prototype.setAuthTag = function setAuthTag (tag) {
+  if (!this._decrypt) throw new Error('Attempting to set auth tag in unsupported state')
+
+  this._authTag = tag
+}
+
+StreamCipher.prototype.setAAD = function setAAD (buf) {
+  if (this._called) throw new Error('Attempting to set AAD in unsupported state')
+
+  this._ghash.update(buf)
+  this._alen += buf.length
+}
+
+module.exports = StreamCipher
+
+},{"./aes":145,"safe-buffer":98,"cipher-base":100,"inherits":97,"./ghash":160,"buffer-xor":167,"./incr32":161}],144:[function(require,module,exports) {
+
+var aes = require('./aes')
+var Buffer = require('safe-buffer').Buffer
+var Transform = require('cipher-base')
+var inherits = require('inherits')
+
+function StreamCipher (mode, key, iv, decrypt) {
+  Transform.call(this)
+
+  this._cipher = new aes.AES(key)
+  this._prev = Buffer.from(iv)
+  this._cache = Buffer.allocUnsafe(0)
+  this._secCache = Buffer.allocUnsafe(0)
+  this._decrypt = decrypt
+  this._mode = mode
+}
+
+inherits(StreamCipher, Transform)
+
+StreamCipher.prototype._update = function (chunk) {
+  return this._mode.encrypt(this, chunk, this._decrypt)
+}
+
+StreamCipher.prototype._final = function () {
+  this._cipher.scrub()
+}
+
+module.exports = StreamCipher
+
+},{"./aes":145,"safe-buffer":98,"cipher-base":100,"inherits":97}],104:[function(require,module,exports) {
+
+var Buffer = require('safe-buffer').Buffer
+var MD5 = require('md5.js')
+
+/* eslint-disable camelcase */
+function EVP_BytesToKey (password, salt, keyBits, ivLen) {
+  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')
+  if (salt) {
+    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')
+    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')
+  }
+
+  var keyLen = keyBits / 8
+  var key = Buffer.alloc(keyLen)
+  var iv = Buffer.alloc(ivLen || 0)
+  var tmp = Buffer.alloc(0)
+
+  while (keyLen > 0 || ivLen > 0) {
+    var hash = new MD5()
+    hash.update(tmp)
+    hash.update(password)
+    if (salt) hash.update(salt)
+    tmp = hash.digest()
+
+    var used = 0
+
+    if (keyLen > 0) {
+      var keyStart = key.length - keyLen
+      used = Math.min(keyLen, tmp.length)
+      tmp.copy(key, keyStart, 0, used)
+      keyLen -= used
+    }
+
+    if (used < tmp.length && ivLen > 0) {
+      var ivStart = iv.length - ivLen
+      var length = Math.min(ivLen, tmp.length - used)
+      tmp.copy(iv, ivStart, used, used + length)
+      ivLen -= length
+    }
+  }
+
+  tmp.fill(0)
+  return { key: key, iv: iv }
+}
+
+module.exports = EVP_BytesToKey
+
+},{"safe-buffer":98,"md5.js":99}],120:[function(require,module,exports) {
+
+var MODES = require('./modes')
+var AuthCipher = require('./authCipher')
+var Buffer = require('safe-buffer').Buffer
+var StreamCipher = require('./streamCipher')
+var Transform = require('cipher-base')
+var aes = require('./aes')
+var ebtk = require('evp_bytestokey')
+var inherits = require('inherits')
+
+function Cipher (mode, key, iv) {
+  Transform.call(this)
+
+  this._cache = new Splitter()
+  this._cipher = new aes.AES(key)
+  this._prev = Buffer.from(iv)
+  this._mode = mode
+  this._autopadding = true
+}
+
+inherits(Cipher, Transform)
+
+Cipher.prototype._update = function (data) {
+  this._cache.add(data)
+  var chunk
+  var thing
+  var out = []
+
+  while ((chunk = this._cache.get())) {
+    thing = this._mode.encrypt(this, chunk)
+    out.push(thing)
+  }
+
+  return Buffer.concat(out)
+}
+
+var PADDING = Buffer.alloc(16, 0x10)
+
+Cipher.prototype._final = function () {
+  var chunk = this._cache.flush()
+  if (this._autopadding) {
+    chunk = this._mode.encrypt(this, chunk)
+    this._cipher.scrub()
+    return chunk
+  }
+
+  if (!chunk.equals(PADDING)) {
+    this._cipher.scrub()
+    throw new Error('data not multiple of block length')
+  }
+}
+
+Cipher.prototype.setAutoPadding = function (setTo) {
+  this._autopadding = !!setTo
+  return this
+}
+
+function Splitter () {
+  this.cache = Buffer.allocUnsafe(0)
+}
+
+Splitter.prototype.add = function (data) {
+  this.cache = Buffer.concat([this.cache, data])
+}
+
+Splitter.prototype.get = function () {
+  if (this.cache.length > 15) {
+    var out = this.cache.slice(0, 16)
+    this.cache = this.cache.slice(16)
+    return out
+  }
+  return null
+}
+
+Splitter.prototype.flush = function () {
+  var len = 16 - this.cache.length
+  var padBuff = Buffer.allocUnsafe(len)
+
+  var i = -1
+  while (++i < len) {
+    padBuff.writeUInt8(len, i)
+  }
+
+  return Buffer.concat([this.cache, padBuff])
+}
+
+function createCipheriv (suite, password, iv) {
+  var config = MODES[suite.toLowerCase()]
+  if (!config) throw new TypeError('invalid suite type')
+
+  if (typeof password === 'string') password = Buffer.from(password)
+  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)
+
+  if (typeof iv === 'string') iv = Buffer.from(iv)
+  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)
+
+  if (config.type === 'stream') {
+    return new StreamCipher(config.module, password, iv)
+  } else if (config.type === 'auth') {
+    return new AuthCipher(config.module, password, iv)
+  }
+
+  return new Cipher(config.module, password, iv)
+}
+
+function createCipher (suite, password) {
+  var config = MODES[suite.toLowerCase()]
+  if (!config) throw new TypeError('invalid suite type')
+
+  var keys = ebtk(password, false, config.key, config.iv)
+  return createCipheriv(suite, keys.key, keys.iv)
+}
+
+exports.createCipheriv = createCipheriv
+exports.createCipher = createCipher
+
+},{"./modes":165,"./authCipher":143,"safe-buffer":98,"./streamCipher":144,"cipher-base":100,"./aes":145,"evp_bytestokey":104,"inherits":97}],121:[function(require,module,exports) {
+
+var AuthCipher = require('./authCipher')
+var Buffer = require('safe-buffer').Buffer
+var MODES = require('./modes')
+var StreamCipher = require('./streamCipher')
+var Transform = require('cipher-base')
+var aes = require('./aes')
+var ebtk = require('evp_bytestokey')
+var inherits = require('inherits')
+
+function Decipher (mode, key, iv) {
+  Transform.call(this)
+
+  this._cache = new Splitter()
+  this._last = void 0
+  this._cipher = new aes.AES(key)
+  this._prev = Buffer.from(iv)
+  this._mode = mode
+  this._autopadding = true
+}
+
+inherits(Decipher, Transform)
+
+Decipher.prototype._update = function (data) {
+  this._cache.add(data)
+  var chunk
+  var thing
+  var out = []
+  while ((chunk = this._cache.get(this._autopadding))) {
+    thing = this._mode.decrypt(this, chunk)
+    out.push(thing)
+  }
+  return Buffer.concat(out)
+}
+
+Decipher.prototype._final = function () {
+  var chunk = this._cache.flush()
+  if (this._autopadding) {
+    return unpad(this._mode.decrypt(this, chunk))
+  } else if (chunk) {
+    throw new Error('data not multiple of block length')
+  }
+}
+
+Decipher.prototype.setAutoPadding = function (setTo) {
+  this._autopadding = !!setTo
+  return this
+}
+
+function Splitter () {
+  this.cache = Buffer.allocUnsafe(0)
+}
+
+Splitter.prototype.add = function (data) {
+  this.cache = Buffer.concat([this.cache, data])
+}
+
+Splitter.prototype.get = function (autoPadding) {
+  var out
+  if (autoPadding) {
+    if (this.cache.length > 16) {
+      out = this.cache.slice(0, 16)
+      this.cache = this.cache.slice(16)
+      return out
+    }
+  } else {
+    if (this.cache.length >= 16) {
+      out = this.cache.slice(0, 16)
+      this.cache = this.cache.slice(16)
+      return out
+    }
+  }
+
+  return null
+}
+
+Splitter.prototype.flush = function () {
+  if (this.cache.length) return this.cache
+}
+
+function unpad (last) {
+  var padded = last[15]
+  if (padded < 1 || padded > 16) {
+    throw new Error('unable to decrypt data')
+  }
+  var i = -1
+  while (++i < padded) {
+    if (last[(i + (16 - padded))] !== padded) {
+      throw new Error('unable to decrypt data')
+    }
+  }
+  if (padded === 16) return
+
+  return last.slice(0, 16 - padded)
+}
+
+function createDecipheriv (suite, password, iv) {
+  var config = MODES[suite.toLowerCase()]
+  if (!config) throw new TypeError('invalid suite type')
+
+  if (typeof iv === 'string') iv = Buffer.from(iv)
+  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)
+
+  if (typeof password === 'string') password = Buffer.from(password)
+  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)
+
+  if (config.type === 'stream') {
+    return new StreamCipher(config.module, password, iv, true)
+  } else if (config.type === 'auth') {
+    return new AuthCipher(config.module, password, iv, true)
+  }
+
+  return new Decipher(config.module, password, iv)
+}
+
+function createDecipher (suite, password) {
+  var config = MODES[suite.toLowerCase()]
+  if (!config) throw new TypeError('invalid suite type')
+
+  var keys = ebtk(password, false, config.key, config.iv)
+  return createDecipheriv(suite, keys.key, keys.iv)
+}
+
+exports.createDecipher = createDecipher
+exports.createDecipheriv = createDecipheriv
+
+},{"./authCipher":143,"safe-buffer":98,"./modes":165,"./streamCipher":144,"cipher-base":100,"./aes":145,"evp_bytestokey":104,"inherits":97}],106:[function(require,module,exports) {
+var ciphers = require('./encrypter')
+var deciphers = require('./decrypter')
+var modes = require('./modes/list.json')
+
+function getCiphers () {
+  return Object.keys(modes)
+}
+
+exports.createCipher = exports.Cipher = ciphers.createCipher
+exports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv
+exports.createDecipher = exports.Decipher = deciphers.createDecipher
+exports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv
+exports.listCiphers = exports.getCiphers = getCiphers
+
+},{"./encrypter":120,"./decrypter":121,"./modes/list.json":119}],107:[function(require,module,exports) {
+exports['des-ecb'] = {
+  key: 8,
+  iv: 0
+}
+exports['des-cbc'] = exports.des = {
+  key: 8,
+  iv: 8
+}
+exports['des-ede3-cbc'] = exports.des3 = {
+  key: 24,
+  iv: 8
+}
+exports['des-ede3'] = {
+  key: 24,
+  iv: 0
+}
+exports['des-ede-cbc'] = {
+  key: 16,
+  iv: 8
+}
+exports['des-ede'] = {
+  key: 16,
+  iv: 0
+}
+
+},{}],78:[function(require,module,exports) {
+var DES = require('browserify-des')
+var aes = require('browserify-aes/browser')
+var aesModes = require('browserify-aes/modes')
+var desModes = require('browserify-des/modes')
+var ebtk = require('evp_bytestokey')
+
+function createCipher (suite, password) {
+  suite = suite.toLowerCase()
+
+  var keyLen, ivLen
+  if (aesModes[suite]) {
+    keyLen = aesModes[suite].key
+    ivLen = aesModes[suite].iv
+  } else if (desModes[suite]) {
+    keyLen = desModes[suite].key * 8
+    ivLen = desModes[suite].iv
+  } else {
+    throw new TypeError('invalid suite type')
+  }
+
+  var keys = ebtk(password, false, keyLen, ivLen)
+  return createCipheriv(suite, keys.key, keys.iv)
+}
+
+function createDecipher (suite, password) {
+  suite = suite.toLowerCase()
+
+  var keyLen, ivLen
+  if (aesModes[suite]) {
+    keyLen = aesModes[suite].key
+    ivLen = aesModes[suite].iv
+  } else if (desModes[suite]) {
+    keyLen = desModes[suite].key * 8
+    ivLen = desModes[suite].iv
+  } else {
+    throw new TypeError('invalid suite type')
+  }
+
+  var keys = ebtk(password, false, keyLen, ivLen)
+  return createDecipheriv(suite, keys.key, keys.iv)
+}
+
+function createCipheriv (suite, key, iv) {
+  suite = suite.toLowerCase()
+  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)
+  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })
+
+  throw new TypeError('invalid suite type')
+}
+
+function createDecipheriv (suite, key, iv) {
+  suite = suite.toLowerCase()
+  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)
+  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })
+
+  throw new TypeError('invalid suite type')
+}
+
+function getCiphers () {
+  return Object.keys(desModes).concat(aes.getCiphers())
+}
+
+exports.createCipher = exports.Cipher = createCipher
+exports.createCipheriv = exports.Cipheriv = createCipheriv
+exports.createDecipher = exports.Decipher = createDecipher
+exports.createDecipheriv = exports.Decipheriv = createDecipheriv
+exports.listCiphers = exports.getCiphers = getCiphers
+
+},{"browserify-des":103,"browserify-aes/browser":106,"browserify-aes/modes":165,"browserify-des/modes":107,"evp_bytestokey":104}],109:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+(function (module, exports) {
+  'use strict';
+
+  // Utils
+  function assert (val, msg) {
+    if (!val) throw new Error(msg || 'Assertion failed');
+  }
+
+  // Could use `inherits` module, but don't want to move from single file
+  // architecture yet.
+  function inherits (ctor, superCtor) {
+    ctor.super_ = superCtor;
+    var TempCtor = function () {};
+    TempCtor.prototype = superCtor.prototype;
+    ctor.prototype = new TempCtor();
+    ctor.prototype.constructor = ctor;
+  }
+
+  // BN
+
+  function BN (number, base, endian) {
+    if (BN.isBN(number)) {
+      return number;
+    }
+
+    this.negative = 0;
+    this.words = null;
+    this.length = 0;
+
+    // Reduction context
+    this.red = null;
+
+    if (number !== null) {
+      if (base === 'le' || base === 'be') {
+        endian = base;
+        base = 10;
+      }
+
+      this._init(number || 0, base || 10, endian || 'be');
+    }
+  }
+  if (typeof module === 'object') {
+    module.exports = BN;
+  } else {
+    exports.BN = BN;
+  }
+
+  BN.BN = BN;
+  BN.wordSize = 26;
+
+  var Buffer;
+  try {
+    Buffer = require('buffer').Buffer;
+  } catch (e) {
+  }
+
+  BN.isBN = function isBN (num) {
+    if (num instanceof BN) {
+      return true;
+    }
+
+    return num !== null && typeof num === 'object' &&
+      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);
+  };
+
+  BN.max = function max (left, right) {
+    if (left.cmp(right) > 0) return left;
+    return right;
+  };
+
+  BN.min = function min (left, right) {
+    if (left.cmp(right) < 0) return left;
+    return right;
+  };
+
+  BN.prototype._init = function init (number, base, endian) {
+    if (typeof number === 'number') {
+      return this._initNumber(number, base, endian);
+    }
+
+    if (typeof number === 'object') {
+      return this._initArray(number, base, endian);
+    }
+
+    if (base === 'hex') {
+      base = 16;
+    }
+    assert(base === (base | 0) && base >= 2 && base <= 36);
+
+    number = number.toString().replace(/\s+/g, '');
+    var start = 0;
+    if (number[0] === '-') {
+      start++;
+    }
+
+    if (base === 16) {
+      this._parseHex(number, start);
+    } else {
+      this._parseBase(number, base, start);
+    }
+
+    if (number[0] === '-') {
+      this.negative = 1;
+    }
+
+    this.strip();
+
+    if (endian !== 'le') return;
+
+    this._initArray(this.toArray(), base, endian);
+  };
+
+  BN.prototype._initNumber = function _initNumber (number, base, endian) {
+    if (number < 0) {
+      this.negative = 1;
+      number = -number;
+    }
+    if (number < 0x4000000) {
+      this.words = [ number & 0x3ffffff ];
+      this.length = 1;
+    } else if (number < 0x10000000000000) {
+      this.words = [
+        number & 0x3ffffff,
+        (number / 0x4000000) & 0x3ffffff
+      ];
+      this.length = 2;
+    } else {
+      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)
+      this.words = [
+        number & 0x3ffffff,
+        (number / 0x4000000) & 0x3ffffff,
+        1
+      ];
+      this.length = 3;
+    }
+
+    if (endian !== 'le') return;
+
+    // Reverse the bytes
+    this._initArray(this.toArray(), base, endian);
+  };
+
+  BN.prototype._initArray = function _initArray (number, base, endian) {
+    // Perhaps a Uint8Array
+    assert(typeof number.length === 'number');
+    if (number.length <= 0) {
+      this.words = [ 0 ];
+      this.length = 1;
+      return this;
+    }
+
+    this.length = Math.ceil(number.length / 3);
+    this.words = new Array(this.length);
+    for (var i = 0; i < this.length; i++) {
+      this.words[i] = 0;
+    }
+
+    var j, w;
+    var off = 0;
+    if (endian === 'be') {
+      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {
+        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);
+        this.words[j] |= (w << off) & 0x3ffffff;
+        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;
+        off += 24;
+        if (off >= 26) {
+          off -= 26;
+          j++;
+        }
+      }
+    } else if (endian === 'le') {
+      for (i = 0, j = 0; i < number.length; i += 3) {
+        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);
+        this.words[j] |= (w << off) & 0x3ffffff;
+        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;
+        off += 24;
+        if (off >= 26) {
+          off -= 26;
+          j++;
+        }
+      }
+    }
+    return this.strip();
+  };
+
+  function parseHex (str, start, end) {
+    var r = 0;
+    var len = Math.min(str.length, end);
+    for (var i = start; i < len; i++) {
+      var c = str.charCodeAt(i) - 48;
+
+      r <<= 4;
+
+      // 'a' - 'f'
+      if (c >= 49 && c <= 54) {
+        r |= c - 49 + 0xa;
+
+      // 'A' - 'F'
+      } else if (c >= 17 && c <= 22) {
+        r |= c - 17 + 0xa;
+
+      // '0' - '9'
+      } else {
+        r |= c & 0xf;
+      }
+    }
+    return r;
+  }
+
+  BN.prototype._parseHex = function _parseHex (number, start) {
+    // Create possibly bigger array to ensure that it fits the number
+    this.length = Math.ceil((number.length - start) / 6);
+    this.words = new Array(this.length);
+    for (var i = 0; i < this.length; i++) {
+      this.words[i] = 0;
+    }
+
+    var j, w;
+    // Scan 24-bit chunks and add them to the number
+    var off = 0;
+    for (i = number.length - 6, j = 0; i >= start; i -= 6) {
+      w = parseHex(number, i, i + 6);
+      this.words[j] |= (w << off) & 0x3ffffff;
+      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb
+      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;
+      off += 24;
+      if (off >= 26) {
+        off -= 26;
+        j++;
+      }
+    }
+    if (i + 6 !== start) {
+      w = parseHex(number, start, i + 6);
+      this.words[j] |= (w << off) & 0x3ffffff;
+      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;
+    }
+    this.strip();
+  };
+
+  function parseBase (str, start, end, mul) {
+    var r = 0;
+    var len = Math.min(str.length, end);
+    for (var i = start; i < len; i++) {
+      var c = str.charCodeAt(i) - 48;
+
+      r *= mul;
+
+      // 'a'
+      if (c >= 49) {
+        r += c - 49 + 0xa;
+
+      // 'A'
+      } else if (c >= 17) {
+        r += c - 17 + 0xa;
+
+      // '0' - '9'
+      } else {
+        r += c;
+      }
+    }
+    return r;
+  }
+
+  BN.prototype._parseBase = function _parseBase (number, base, start) {
+    // Initialize as zero
+    this.words = [ 0 ];
+    this.length = 1;
+
+    // Find length of limb in base
+    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {
+      limbLen++;
+    }
+    limbLen--;
+    limbPow = (limbPow / base) | 0;
+
+    var total = number.length - start;
+    var mod = total % limbLen;
+    var end = Math.min(total, total - mod) + start;
+
+    var word = 0;
+    for (var i = start; i < end; i += limbLen) {
+      word = parseBase(number, i, i + limbLen, base);
+
+      this.imuln(limbPow);
+      if (this.words[0] + word < 0x4000000) {
+        this.words[0] += word;
+      } else {
+        this._iaddn(word);
+      }
+    }
+
+    if (mod !== 0) {
+      var pow = 1;
+      word = parseBase(number, i, number.length, base);
+
+      for (i = 0; i < mod; i++) {
+        pow *= base;
+      }
+
+      this.imuln(pow);
+      if (this.words[0] + word < 0x4000000) {
+        this.words[0] += word;
+      } else {
+        this._iaddn(word);
+      }
+    }
+  };
+
+  BN.prototype.copy = function copy (dest) {
+    dest.words = new Array(this.length);
+    for (var i = 0; i < this.length; i++) {
+      dest.words[i] = this.words[i];
+    }
+    dest.length = this.length;
+    dest.negative = this.negative;
+    dest.red = this.red;
+  };
+
+  BN.prototype.clone = function clone () {
+    var r = new BN(null);
+    this.copy(r);
+    return r;
+  };
+
+  BN.prototype._expand = function _expand (size) {
+    while (this.length < size) {
+      this.words[this.length++] = 0;
+    }
+    return this;
+  };
+
+  // Remove leading `0` from `this`
+  BN.prototype.strip = function strip () {
+    while (this.length > 1 && this.words[this.length - 1] === 0) {
+      this.length--;
+    }
+    return this._normSign();
+  };
+
+  BN.prototype._normSign = function _normSign () {
+    // -0 = 0
+    if (this.length === 1 && this.words[0] === 0) {
+      this.negative = 0;
+    }
+    return this;
+  };
+
+  BN.prototype.inspect = function inspect () {
+    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';
+  };
+
+  /*
+
+  var zeros = [];
+  var groupSizes = [];
+  var groupBases = [];
+
+  var s = '';
+  var i = -1;
+  while (++i < BN.wordSize) {
+    zeros[i] = s;
+    s += '0';
+  }
+  groupSizes[0] = 0;
+  groupSizes[1] = 0;
+  groupBases[0] = 0;
+  groupBases[1] = 0;
+  var base = 2 - 1;
+  while (++base < 36 + 1) {
+    var groupSize = 0;
+    var groupBase = 1;
+    while (groupBase < (1 << BN.wordSize) / base) {
+      groupBase *= base;
+      groupSize += 1;
+    }
+    groupSizes[base] = groupSize;
+    groupBases[base] = groupBase;
+  }
+
+  */
+
+  var zeros = [
+    '',
+    '0',
+    '00',
+    '000',
+    '0000',
+    '00000',
+    '000000',
+    '0000000',
+    '00000000',
+    '000000000',
+    '0000000000',
+    '00000000000',
+    '000000000000',
+    '0000000000000',
+    '00000000000000',
+    '000000000000000',
+    '0000000000000000',
+    '00000000000000000',
+    '000000000000000000',
+    '0000000000000000000',
+    '00000000000000000000',
+    '000000000000000000000',
+    '0000000000000000000000',
+    '00000000000000000000000',
+    '000000000000000000000000',
+    '0000000000000000000000000'
+  ];
+
+  var groupSizes = [
+    0, 0,
+    25, 16, 12, 11, 10, 9, 8,
+    8, 7, 7, 7, 7, 6, 6,
+    6, 6, 6, 6, 6, 5, 5,
+    5, 5, 5, 5, 5, 5, 5,
+    5, 5, 5, 5, 5, 5, 5
+  ];
+
+  var groupBases = [
+    0, 0,
+    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,
+    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,
+    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,
+    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,
+    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176
+  ];
+
+  BN.prototype.toString = function toString (base, padding) {
+    base = base || 10;
+    padding = padding | 0 || 1;
+
+    var out;
+    if (base === 16 || base === 'hex') {
+      out = '';
+      var off = 0;
+      var carry = 0;
+      for (var i = 0; i < this.length; i++) {
+        var w = this.words[i];
+        var word = (((w << off) | carry) & 0xffffff).toString(16);
+        carry = (w >>> (24 - off)) & 0xffffff;
+        if (carry !== 0 || i !== this.length - 1) {
+          out = zeros[6 - word.length] + word + out;
+        } else {
+          out = word + out;
+        }
+        off += 2;
+        if (off >= 26) {
+          off -= 26;
+          i--;
+        }
+      }
+      if (carry !== 0) {
+        out = carry.toString(16) + out;
+      }
+      while (out.length % padding !== 0) {
+        out = '0' + out;
+      }
+      if (this.negative !== 0) {
+        out = '-' + out;
+      }
+      return out;
+    }
+
+    if (base === (base | 0) && base >= 2 && base <= 36) {
+      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));
+      var groupSize = groupSizes[base];
+      // var groupBase = Math.pow(base, groupSize);
+      var groupBase = groupBases[base];
+      out = '';
+      var c = this.clone();
+      c.negative = 0;
+      while (!c.isZero()) {
+        var r = c.modn(groupBase).toString(base);
+        c = c.idivn(groupBase);
+
+        if (!c.isZero()) {
+          out = zeros[groupSize - r.length] + r + out;
+        } else {
+          out = r + out;
+        }
+      }
+      if (this.isZero()) {
+        out = '0' + out;
+      }
+      while (out.length % padding !== 0) {
+        out = '0' + out;
+      }
+      if (this.negative !== 0) {
+        out = '-' + out;
+      }
+      return out;
+    }
+
+    assert(false, 'Base should be between 2 and 36');
+  };
+
+  BN.prototype.toNumber = function toNumber () {
+    var ret = this.words[0];
+    if (this.length === 2) {
+      ret += this.words[1] * 0x4000000;
+    } else if (this.length === 3 && this.words[2] === 0x01) {
+      // NOTE: at this stage it is known that the top bit is set
+      ret += 0x10000000000000 + (this.words[1] * 0x4000000);
+    } else if (this.length > 2) {
+      assert(false, 'Number can only safely store up to 53 bits');
+    }
+    return (this.negative !== 0) ? -ret : ret;
+  };
+
+  BN.prototype.toJSON = function toJSON () {
+    return this.toString(16);
+  };
+
+  BN.prototype.toBuffer = function toBuffer (endian, length) {
+    assert(typeof Buffer !== 'undefined');
+    return this.toArrayLike(Buffer, endian, length);
+  };
+
+  BN.prototype.toArray = function toArray (endian, length) {
+    return this.toArrayLike(Array, endian, length);
+  };
+
+  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {
+    var byteLength = this.byteLength();
+    var reqLength = length || Math.max(1, byteLength);
+    assert(byteLength <= reqLength, 'byte array longer than desired length');
+    assert(reqLength > 0, 'Requested array length <= 0');
+
+    this.strip();
+    var littleEndian = endian === 'le';
+    var res = new ArrayType(reqLength);
+
+    var b, i;
+    var q = this.clone();
+    if (!littleEndian) {
+      // Assume big-endian
+      for (i = 0; i < reqLength - byteLength; i++) {
+        res[i] = 0;
+      }
+
+      for (i = 0; !q.isZero(); i++) {
+        b = q.andln(0xff);
+        q.iushrn(8);
+
+        res[reqLength - i - 1] = b;
+      }
+    } else {
+      for (i = 0; !q.isZero(); i++) {
+        b = q.andln(0xff);
+        q.iushrn(8);
+
+        res[i] = b;
+      }
+
+      for (; i < reqLength; i++) {
+        res[i] = 0;
+      }
+    }
+
+    return res;
+  };
+
+  if (Math.clz32) {
+    BN.prototype._countBits = function _countBits (w) {
+      return 32 - Math.clz32(w);
+    };
+  } else {
+    BN.prototype._countBits = function _countBits (w) {
+      var t = w;
+      var r = 0;
+      if (t >= 0x1000) {
+        r += 13;
+        t >>>= 13;
+      }
+      if (t >= 0x40) {
+        r += 7;
+        t >>>= 7;
+      }
+      if (t >= 0x8) {
+        r += 4;
+        t >>>= 4;
+      }
+      if (t >= 0x02) {
+        r += 2;
+        t >>>= 2;
+      }
+      return r + t;
+    };
+  }
+
+  BN.prototype._zeroBits = function _zeroBits (w) {
+    // Short-cut
+    if (w === 0) return 26;
+
+    var t = w;
+    var r = 0;
+    if ((t & 0x1fff) === 0) {
+      r += 13;
+      t >>>= 13;
+    }
+    if ((t & 0x7f) === 0) {
+      r += 7;
+      t >>>= 7;
+    }
+    if ((t & 0xf) === 0) {
+      r += 4;
+      t >>>= 4;
+    }
+    if ((t & 0x3) === 0) {
+      r += 2;
+      t >>>= 2;
+    }
+    if ((t & 0x1) === 0) {
+      r++;
+    }
+    return r;
+  };
+
+  // Return number of used bits in a BN
+  BN.prototype.bitLength = function bitLength () {
+    var w = this.words[this.length - 1];
+    var hi = this._countBits(w);
+    return (this.length - 1) * 26 + hi;
+  };
+
+  function toBitArray (num) {
+    var w = new Array(num.bitLength());
+
+    for (var bit = 0; bit < w.length; bit++) {
+      var off = (bit / 26) | 0;
+      var wbit = bit % 26;
+
+      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;
+    }
+
+    return w;
+  }
+
+  // Number of trailing zero bits
+  BN.prototype.zeroBits = function zeroBits () {
+    if (this.isZero()) return 0;
+
+    var r = 0;
+    for (var i = 0; i < this.length; i++) {
+      var b = this._zeroBits(this.words[i]);
+      r += b;
+      if (b !== 26) break;
+    }
+    return r;
+  };
+
+  BN.prototype.byteLength = function byteLength () {
+    return Math.ceil(this.bitLength() / 8);
+  };
+
+  BN.prototype.toTwos = function toTwos (width) {
+    if (this.negative !== 0) {
+      return this.abs().inotn(width).iaddn(1);
+    }
+    return this.clone();
+  };
+
+  BN.prototype.fromTwos = function fromTwos (width) {
+    if (this.testn(width - 1)) {
+      return this.notn(width).iaddn(1).ineg();
+    }
+    return this.clone();
+  };
+
+  BN.prototype.isNeg = function isNeg () {
+    return this.negative !== 0;
+  };
+
+  // Return negative clone of `this`
+  BN.prototype.neg = function neg () {
+    return this.clone().ineg();
+  };
+
+  BN.prototype.ineg = function ineg () {
+    if (!this.isZero()) {
+      this.negative ^= 1;
+    }
+
+    return this;
+  };
+
+  // Or `num` with `this` in-place
+  BN.prototype.iuor = function iuor (num) {
+    while (this.length < num.length) {
+      this.words[this.length++] = 0;
+    }
+
+    for (var i = 0; i < num.length; i++) {
+      this.words[i] = this.words[i] | num.words[i];
+    }
+
+    return this.strip();
+  };
+
+  BN.prototype.ior = function ior (num) {
+    assert((this.negative | num.negative) === 0);
+    return this.iuor(num);
+  };
+
+  // Or `num` with `this`
+  BN.prototype.or = function or (num) {
+    if (this.length > num.length) return this.clone().ior(num);
+    return num.clone().ior(this);
+  };
+
+  BN.prototype.uor = function uor (num) {
+    if (this.length > num.length) return this.clone().iuor(num);
+    return num.clone().iuor(this);
+  };
+
+  // And `num` with `this` in-place
+  BN.prototype.iuand = function iuand (num) {
+    // b = min-length(num, this)
+    var b;
+    if (this.length > num.length) {
+      b = num;
+    } else {
+      b = this;
+    }
+
+    for (var i = 0; i < b.length; i++) {
+      this.words[i] = this.words[i] & num.words[i];
+    }
+
+    this.length = b.length;
+
+    return this.strip();
+  };
+
+  BN.prototype.iand = function iand (num) {
+    assert((this.negative | num.negative) === 0);
+    return this.iuand(num);
+  };
+
+  // And `num` with `this`
+  BN.prototype.and = function and (num) {
+    if (this.length > num.length) return this.clone().iand(num);
+    return num.clone().iand(this);
+  };
+
+  BN.prototype.uand = function uand (num) {
+    if (this.length > num.length) return this.clone().iuand(num);
+    return num.clone().iuand(this);
+  };
+
+  // Xor `num` with `this` in-place
+  BN.prototype.iuxor = function iuxor (num) {
+    // a.length > b.length
+    var a;
+    var b;
+    if (this.length > num.length) {
+      a = this;
+      b = num;
+    } else {
+      a = num;
+      b = this;
+    }
+
+    for (var i = 0; i < b.length; i++) {
+      this.words[i] = a.words[i] ^ b.words[i];
+    }
+
+    if (this !== a) {
+      for (; i < a.length; i++) {
+        this.words[i] = a.words[i];
+      }
+    }
+
+    this.length = a.length;
+
+    return this.strip();
+  };
+
+  BN.prototype.ixor = function ixor (num) {
+    assert((this.negative | num.negative) === 0);
+    return this.iuxor(num);
+  };
+
+  // Xor `num` with `this`
+  BN.prototype.xor = function xor (num) {
+    if (this.length > num.length) return this.clone().ixor(num);
+    return num.clone().ixor(this);
+  };
+
+  BN.prototype.uxor = function uxor (num) {
+    if (this.length > num.length) return this.clone().iuxor(num);
+    return num.clone().iuxor(this);
+  };
+
+  // Not ``this`` with ``width`` bitwidth
+  BN.prototype.inotn = function inotn (width) {
+    assert(typeof width === 'number' && width >= 0);
+
+    var bytesNeeded = Math.ceil(width / 26) | 0;
+    var bitsLeft = width % 26;
+
+    // Extend the buffer with leading zeroes
+    this._expand(bytesNeeded);
+
+    if (bitsLeft > 0) {
+      bytesNeeded--;
+    }
+
+    // Handle complete words
+    for (var i = 0; i < bytesNeeded; i++) {
+      this.words[i] = ~this.words[i] & 0x3ffffff;
+    }
+
+    // Handle the residue
+    if (bitsLeft > 0) {
+      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));
+    }
+
+    // And remove leading zeroes
+    return this.strip();
+  };
+
+  BN.prototype.notn = function notn (width) {
+    return this.clone().inotn(width);
+  };
+
+  // Set `bit` of `this`
+  BN.prototype.setn = function setn (bit, val) {
+    assert(typeof bit === 'number' && bit >= 0);
+
+    var off = (bit / 26) | 0;
+    var wbit = bit % 26;
+
+    this._expand(off + 1);
+
+    if (val) {
+      this.words[off] = this.words[off] | (1 << wbit);
+    } else {
+      this.words[off] = this.words[off] & ~(1 << wbit);
+    }
+
+    return this.strip();
+  };
+
+  // Add `num` to `this` in-place
+  BN.prototype.iadd = function iadd (num) {
+    var r;
+
+    // negative + positive
+    if (this.negative !== 0 && num.negative === 0) {
+      this.negative = 0;
+      r = this.isub(num);
+      this.negative ^= 1;
+      return this._normSign();
+
+    // positive + negative
+    } else if (this.negative === 0 && num.negative !== 0) {
+      num.negative = 0;
+      r = this.isub(num);
+      num.negative = 1;
+      return r._normSign();
+    }
+
+    // a.length > b.length
+    var a, b;
+    if (this.length > num.length) {
+      a = this;
+      b = num;
+    } else {
+      a = num;
+      b = this;
+    }
+
+    var carry = 0;
+    for (var i = 0; i < b.length; i++) {
+      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;
+      this.words[i] = r & 0x3ffffff;
+      carry = r >>> 26;
+    }
+    for (; carry !== 0 && i < a.length; i++) {
+      r = (a.words[i] | 0) + carry;
+      this.words[i] = r & 0x3ffffff;
+      carry = r >>> 26;
+    }
+
+    this.length = a.length;
+    if (carry !== 0) {
+      this.words[this.length] = carry;
+      this.length++;
+    // Copy the rest of the words
+    } else if (a !== this) {
+      for (; i < a.length; i++) {
+        this.words[i] = a.words[i];
+      }
+    }
+
+    return this;
+  };
+
+  // Add `num` to `this`
+  BN.prototype.add = function add (num) {
+    var res;
+    if (num.negative !== 0 && this.negative === 0) {
+      num.negative = 0;
+      res = this.sub(num);
+      num.negative ^= 1;
+      return res;
+    } else if (num.negative === 0 && this.negative !== 0) {
+      this.negative = 0;
+      res = num.sub(this);
+      this.negative = 1;
+      return res;
+    }
+
+    if (this.length > num.length) return this.clone().iadd(num);
+
+    return num.clone().iadd(this);
+  };
+
+  // Subtract `num` from `this` in-place
+  BN.prototype.isub = function isub (num) {
+    // this - (-num) = this + num
+    if (num.negative !== 0) {
+      num.negative = 0;
+      var r = this.iadd(num);
+      num.negative = 1;
+      return r._normSign();
+
+    // -this - num = -(this + num)
+    } else if (this.negative !== 0) {
+      this.negative = 0;
+      this.iadd(num);
+      this.negative = 1;
+      return this._normSign();
+    }
+
+    // At this point both numbers are positive
+    var cmp = this.cmp(num);
+
+    // Optimization - zeroify
+    if (cmp === 0) {
+      this.negative = 0;
+      this.length = 1;
+      this.words[0] = 0;
+      return this;
+    }
+
+    // a > b
+    var a, b;
+    if (cmp > 0) {
+      a = this;
+      b = num;
+    } else {
+      a = num;
+      b = this;
+    }
+
+    var carry = 0;
+    for (var i = 0; i < b.length; i++) {
+      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;
+      carry = r >> 26;
+      this.words[i] = r & 0x3ffffff;
+    }
+    for (; carry !== 0 && i < a.length; i++) {
+      r = (a.words[i] | 0) + carry;
+      carry = r >> 26;
+      this.words[i] = r & 0x3ffffff;
+    }
+
+    // Copy rest of the words
+    if (carry === 0 && i < a.length && a !== this) {
+      for (; i < a.length; i++) {
+        this.words[i] = a.words[i];
+      }
+    }
+
+    this.length = Math.max(this.length, i);
+
+    if (a !== this) {
+      this.negative = 1;
+    }
+
+    return this.strip();
+  };
+
+  // Subtract `num` from `this`
+  BN.prototype.sub = function sub (num) {
+    return this.clone().isub(num);
+  };
+
+  function smallMulTo (self, num, out) {
+    out.negative = num.negative ^ self.negative;
+    var len = (self.length + num.length) | 0;
+    out.length = len;
+    len = (len - 1) | 0;
+
+    // Peel one iteration (compiler can't do it, because of code complexity)
+    var a = self.words[0] | 0;
+    var b = num.words[0] | 0;
+    var r = a * b;
+
+    var lo = r & 0x3ffffff;
+    var carry = (r / 0x4000000) | 0;
+    out.words[0] = lo;
+
+    for (var k = 1; k < len; k++) {
+      // Sum all words with the same `i + j = k` and accumulate `ncarry`,
+      // note that ncarry could be >= 0x3ffffff
+      var ncarry = carry >>> 26;
+      var rword = carry & 0x3ffffff;
+      var maxJ = Math.min(k, num.length - 1);
+      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {
+        var i = (k - j) | 0;
+        a = self.words[i] | 0;
+        b = num.words[j] | 0;
+        r = a * b + rword;
+        ncarry += (r / 0x4000000) | 0;
+        rword = r & 0x3ffffff;
+      }
+      out.words[k] = rword | 0;
+      carry = ncarry | 0;
+    }
+    if (carry !== 0) {
+      out.words[k] = carry | 0;
+    } else {
+      out.length--;
+    }
+
+    return out.strip();
+  }
+
+  // TODO(indutny): it may be reasonable to omit it for users who don't need
+  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit
+  // multiplication (like elliptic secp256k1).
+  var comb10MulTo = function comb10MulTo (self, num, out) {
+    var a = self.words;
+    var b = num.words;
+    var o = out.words;
+    var c = 0;
+    var lo;
+    var mid;
+    var hi;
+    var a0 = a[0] | 0;
+    var al0 = a0 & 0x1fff;
+    var ah0 = a0 >>> 13;
+    var a1 = a[1] | 0;
+    var al1 = a1 & 0x1fff;
+    var ah1 = a1 >>> 13;
+    var a2 = a[2] | 0;
+    var al2 = a2 & 0x1fff;
+    var ah2 = a2 >>> 13;
+    var a3 = a[3] | 0;
+    var al3 = a3 & 0x1fff;
+    var ah3 = a3 >>> 13;
+    var a4 = a[4] | 0;
+    var al4 = a4 & 0x1fff;
+    var ah4 = a4 >>> 13;
+    var a5 = a[5] | 0;
+    var al5 = a5 & 0x1fff;
+    var ah5 = a5 >>> 13;
+    var a6 = a[6] | 0;
+    var al6 = a6 & 0x1fff;
+    var ah6 = a6 >>> 13;
+    var a7 = a[7] | 0;
+    var al7 = a7 & 0x1fff;
+    var ah7 = a7 >>> 13;
+    var a8 = a[8] | 0;
+    var al8 = a8 & 0x1fff;
+    var ah8 = a8 >>> 13;
+    var a9 = a[9] | 0;
+    var al9 = a9 & 0x1fff;
+    var ah9 = a9 >>> 13;
+    var b0 = b[0] | 0;
+    var bl0 = b0 & 0x1fff;
+    var bh0 = b0 >>> 13;
+    var b1 = b[1] | 0;
+    var bl1 = b1 & 0x1fff;
+    var bh1 = b1 >>> 13;
+    var b2 = b[2] | 0;
+    var bl2 = b2 & 0x1fff;
+    var bh2 = b2 >>> 13;
+    var b3 = b[3] | 0;
+    var bl3 = b3 & 0x1fff;
+    var bh3 = b3 >>> 13;
+    var b4 = b[4] | 0;
+    var bl4 = b4 & 0x1fff;
+    var bh4 = b4 >>> 13;
+    var b5 = b[5] | 0;
+    var bl5 = b5 & 0x1fff;
+    var bh5 = b5 >>> 13;
+    var b6 = b[6] | 0;
+    var bl6 = b6 & 0x1fff;
+    var bh6 = b6 >>> 13;
+    var b7 = b[7] | 0;
+    var bl7 = b7 & 0x1fff;
+    var bh7 = b7 >>> 13;
+    var b8 = b[8] | 0;
+    var bl8 = b8 & 0x1fff;
+    var bh8 = b8 >>> 13;
+    var b9 = b[9] | 0;
+    var bl9 = b9 & 0x1fff;
+    var bh9 = b9 >>> 13;
+
+    out.negative = self.negative ^ num.negative;
+    out.length = 19;
+    /* k = 0 */
+    lo = Math.imul(al0, bl0);
+    mid = Math.imul(al0, bh0);
+    mid = (mid + Math.imul(ah0, bl0)) | 0;
+    hi = Math.imul(ah0, bh0);
+    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;
+    w0 &= 0x3ffffff;
+    /* k = 1 */
+    lo = Math.imul(al1, bl0);
+    mid = Math.imul(al1, bh0);
+    mid = (mid + Math.imul(ah1, bl0)) | 0;
+    hi = Math.imul(ah1, bh0);
+    lo = (lo + Math.imul(al0, bl1)) | 0;
+    mid = (mid + Math.imul(al0, bh1)) | 0;
+    mid = (mid + Math.imul(ah0, bl1)) | 0;
+    hi = (hi + Math.imul(ah0, bh1)) | 0;
+    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;
+    w1 &= 0x3ffffff;
+    /* k = 2 */
+    lo = Math.imul(al2, bl0);
+    mid = Math.imul(al2, bh0);
+    mid = (mid + Math.imul(ah2, bl0)) | 0;
+    hi = Math.imul(ah2, bh0);
+    lo = (lo + Math.imul(al1, bl1)) | 0;
+    mid = (mid + Math.imul(al1, bh1)) | 0;
+    mid = (mid + Math.imul(ah1, bl1)) | 0;
+    hi = (hi + Math.imul(ah1, bh1)) | 0;
+    lo = (lo + Math.imul(al0, bl2)) | 0;
+    mid = (mid + Math.imul(al0, bh2)) | 0;
+    mid = (mid + Math.imul(ah0, bl2)) | 0;
+    hi = (hi + Math.imul(ah0, bh2)) | 0;
+    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;
+    w2 &= 0x3ffffff;
+    /* k = 3 */
+    lo = Math.imul(al3, bl0);
+    mid = Math.imul(al3, bh0);
+    mid = (mid + Math.imul(ah3, bl0)) | 0;
+    hi = Math.imul(ah3, bh0);
+    lo = (lo + Math.imul(al2, bl1)) | 0;
+    mid = (mid + Math.imul(al2, bh1)) | 0;
+    mid = (mid + Math.imul(ah2, bl1)) | 0;
+    hi = (hi + Math.imul(ah2, bh1)) | 0;
+    lo = (lo + Math.imul(al1, bl2)) | 0;
+    mid = (mid + Math.imul(al1, bh2)) | 0;
+    mid = (mid + Math.imul(ah1, bl2)) | 0;
+    hi = (hi + Math.imul(ah1, bh2)) | 0;
+    lo = (lo + Math.imul(al0, bl3)) | 0;
+    mid = (mid + Math.imul(al0, bh3)) | 0;
+    mid = (mid + Math.imul(ah0, bl3)) | 0;
+    hi = (hi + Math.imul(ah0, bh3)) | 0;
+    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;
+    w3 &= 0x3ffffff;
+    /* k = 4 */
+    lo = Math.imul(al4, bl0);
+    mid = Math.imul(al4, bh0);
+    mid = (mid + Math.imul(ah4, bl0)) | 0;
+    hi = Math.imul(ah4, bh0);
+    lo = (lo + Math.imul(al3, bl1)) | 0;
+    mid = (mid + Math.imul(al3, bh1)) | 0;
+    mid = (mid + Math.imul(ah3, bl1)) | 0;
+    hi = (hi + Math.imul(ah3, bh1)) | 0;
+    lo = (lo + Math.imul(al2, bl2)) | 0;
+    mid = (mid + Math.imul(al2, bh2)) | 0;
+    mid = (mid + Math.imul(ah2, bl2)) | 0;
+    hi = (hi + Math.imul(ah2, bh2)) | 0;
+    lo = (lo + Math.imul(al1, bl3)) | 0;
+    mid = (mid + Math.imul(al1, bh3)) | 0;
+    mid = (mid + Math.imul(ah1, bl3)) | 0;
+    hi = (hi + Math.imul(ah1, bh3)) | 0;
+    lo = (lo + Math.imul(al0, bl4)) | 0;
+    mid = (mid + Math.imul(al0, bh4)) | 0;
+    mid = (mid + Math.imul(ah0, bl4)) | 0;
+    hi = (hi + Math.imul(ah0, bh4)) | 0;
+    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;
+    w4 &= 0x3ffffff;
+    /* k = 5 */
+    lo = Math.imul(al5, bl0);
+    mid = Math.imul(al5, bh0);
+    mid = (mid + Math.imul(ah5, bl0)) | 0;
+    hi = Math.imul(ah5, bh0);
+    lo = (lo + Math.imul(al4, bl1)) | 0;
+    mid = (mid + Math.imul(al4, bh1)) | 0;
+    mid = (mid + Math.imul(ah4, bl1)) | 0;
+    hi = (hi + Math.imul(ah4, bh1)) | 0;
+    lo = (lo + Math.imul(al3, bl2)) | 0;
+    mid = (mid + Math.imul(al3, bh2)) | 0;
+    mid = (mid + Math.imul(ah3, bl2)) | 0;
+    hi = (hi + Math.imul(ah3, bh2)) | 0;
+    lo = (lo + Math.imul(al2, bl3)) | 0;
+    mid = (mid + Math.imul(al2, bh3)) | 0;
+    mid = (mid + Math.imul(ah2, bl3)) | 0;
+    hi = (hi + Math.imul(ah2, bh3)) | 0;
+    lo = (lo + Math.imul(al1, bl4)) | 0;
+    mid = (mid + Math.imul(al1, bh4)) | 0;
+    mid = (mid + Math.imul(ah1, bl4)) | 0;
+    hi = (hi + Math.imul(ah1, bh4)) | 0;
+    lo = (lo + Math.imul(al0, bl5)) | 0;
+    mid = (mid + Math.imul(al0, bh5)) | 0;
+    mid = (mid + Math.imul(ah0, bl5)) | 0;
+    hi = (hi + Math.imul(ah0, bh5)) | 0;
+    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;
+    w5 &= 0x3ffffff;
+    /* k = 6 */
+    lo = Math.imul(al6, bl0);
+    mid = Math.imul(al6, bh0);
+    mid = (mid + Math.imul(ah6, bl0)) | 0;
+    hi = Math.imul(ah6, bh0);
+    lo = (lo + Math.imul(al5, bl1)) | 0;
+    mid = (mid + Math.imul(al5, bh1)) | 0;
+    mid = (mid + Math.imul(ah5, bl1)) | 0;
+    hi = (hi + Math.imul(ah5, bh1)) | 0;
+    lo = (lo + Math.imul(al4, bl2)) | 0;
+    mid = (mid + Math.imul(al4, bh2)) | 0;
+    mid = (mid + Math.imul(ah4, bl2)) | 0;
+    hi = (hi + Math.imul(ah4, bh2)) | 0;
+    lo = (lo + Math.imul(al3, bl3)) | 0;
+    mid = (mid + Math.imul(al3, bh3)) | 0;
+    mid = (mid + Math.imul(ah3, bl3)) | 0;
+    hi = (hi + Math.imul(ah3, bh3)) | 0;
+    lo = (lo + Math.imul(al2, bl4)) | 0;
+    mid = (mid + Math.imul(al2, bh4)) | 0;
+    mid = (mid + Math.imul(ah2, bl4)) | 0;
+    hi = (hi + Math.imul(ah2, bh4)) | 0;
+    lo = (lo + Math.imul(al1, bl5)) | 0;
+    mid = (mid + Math.imul(al1, bh5)) | 0;
+    mid = (mid + Math.imul(ah1, bl5)) | 0;
+    hi = (hi + Math.imul(ah1, bh5)) | 0;
+    lo = (lo + Math.imul(al0, bl6)) | 0;
+    mid = (mid + Math.imul(al0, bh6)) | 0;
+    mid = (mid + Math.imul(ah0, bl6)) | 0;
+    hi = (hi + Math.imul(ah0, bh6)) | 0;
+    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;
+    w6 &= 0x3ffffff;
+    /* k = 7 */
+    lo = Math.imul(al7, bl0);
+    mid = Math.imul(al7, bh0);
+    mid = (mid + Math.imul(ah7, bl0)) | 0;
+    hi = Math.imul(ah7, bh0);
+    lo = (lo + Math.imul(al6, bl1)) | 0;
+    mid = (mid + Math.imul(al6, bh1)) | 0;
+    mid = (mid + Math.imul(ah6, bl1)) | 0;
+    hi = (hi + Math.imul(ah6, bh1)) | 0;
+    lo = (lo + Math.imul(al5, bl2)) | 0;
+    mid = (mid + Math.imul(al5, bh2)) | 0;
+    mid = (mid + Math.imul(ah5, bl2)) | 0;
+    hi = (hi + Math.imul(ah5, bh2)) | 0;
+    lo = (lo + Math.imul(al4, bl3)) | 0;
+    mid = (mid + Math.imul(al4, bh3)) | 0;
+    mid = (mid + Math.imul(ah4, bl3)) | 0;
+    hi = (hi + Math.imul(ah4, bh3)) | 0;
+    lo = (lo + Math.imul(al3, bl4)) | 0;
+    mid = (mid + Math.imul(al3, bh4)) | 0;
+    mid = (mid + Math.imul(ah3, bl4)) | 0;
+    hi = (hi + Math.imul(ah3, bh4)) | 0;
+    lo = (lo + Math.imul(al2, bl5)) | 0;
+    mid = (mid + Math.imul(al2, bh5)) | 0;
+    mid = (mid + Math.imul(ah2, bl5)) | 0;
+    hi = (hi + Math.imul(ah2, bh5)) | 0;
+    lo = (lo + Math.imul(al1, bl6)) | 0;
+    mid = (mid + Math.imul(al1, bh6)) | 0;
+    mid = (mid + Math.imul(ah1, bl6)) | 0;
+    hi = (hi + Math.imul(ah1, bh6)) | 0;
+    lo = (lo + Math.imul(al0, bl7)) | 0;
+    mid = (mid + Math.imul(al0, bh7)) | 0;
+    mid = (mid + Math.imul(ah0, bl7)) | 0;
+    hi = (hi + Math.imul(ah0, bh7)) | 0;
+    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;
+    w7 &= 0x3ffffff;
+    /* k = 8 */
+    lo = Math.imul(al8, bl0);
+    mid = Math.imul(al8, bh0);
+    mid = (mid + Math.imul(ah8, bl0)) | 0;
+    hi = Math.imul(ah8, bh0);
+    lo = (lo + Math.imul(al7, bl1)) | 0;
+    mid = (mid + Math.imul(al7, bh1)) | 0;
+    mid = (mid + Math.imul(ah7, bl1)) | 0;
+    hi = (hi + Math.imul(ah7, bh1)) | 0;
+    lo = (lo + Math.imul(al6, bl2)) | 0;
+    mid = (mid + Math.imul(al6, bh2)) | 0;
+    mid = (mid + Math.imul(ah6, bl2)) | 0;
+    hi = (hi + Math.imul(ah6, bh2)) | 0;
+    lo = (lo + Math.imul(al5, bl3)) | 0;
+    mid = (mid + Math.imul(al5, bh3)) | 0;
+    mid = (mid + Math.imul(ah5, bl3)) | 0;
+    hi = (hi + Math.imul(ah5, bh3)) | 0;
+    lo = (lo + Math.imul(al4, bl4)) | 0;
+    mid = (mid + Math.imul(al4, bh4)) | 0;
+    mid = (mid + Math.imul(ah4, bl4)) | 0;
+    hi = (hi + Math.imul(ah4, bh4)) | 0;
+    lo = (lo + Math.imul(al3, bl5)) | 0;
+    mid = (mid + Math.imul(al3, bh5)) | 0;
+    mid = (mid + Math.imul(ah3, bl5)) | 0;
+    hi = (hi + Math.imul(ah3, bh5)) | 0;
+    lo = (lo + Math.imul(al2, bl6)) | 0;
+    mid = (mid + Math.imul(al2, bh6)) | 0;
+    mid = (mid + Math.imul(ah2, bl6)) | 0;
+    hi = (hi + Math.imul(ah2, bh6)) | 0;
+    lo = (lo + Math.imul(al1, bl7)) | 0;
+    mid = (mid + Math.imul(al1, bh7)) | 0;
+    mid = (mid + Math.imul(ah1, bl7)) | 0;
+    hi = (hi + Math.imul(ah1, bh7)) | 0;
+    lo = (lo + Math.imul(al0, bl8)) | 0;
+    mid = (mid + Math.imul(al0, bh8)) | 0;
+    mid = (mid + Math.imul(ah0, bl8)) | 0;
+    hi = (hi + Math.imul(ah0, bh8)) | 0;
+    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;
+    w8 &= 0x3ffffff;
+    /* k = 9 */
+    lo = Math.imul(al9, bl0);
+    mid = Math.imul(al9, bh0);
+    mid = (mid + Math.imul(ah9, bl0)) | 0;
+    hi = Math.imul(ah9, bh0);
+    lo = (lo + Math.imul(al8, bl1)) | 0;
+    mid = (mid + Math.imul(al8, bh1)) | 0;
+    mid = (mid + Math.imul(ah8, bl1)) | 0;
+    hi = (hi + Math.imul(ah8, bh1)) | 0;
+    lo = (lo + Math.imul(al7, bl2)) | 0;
+    mid = (mid + Math.imul(al7, bh2)) | 0;
+    mid = (mid + Math.imul(ah7, bl2)) | 0;
+    hi = (hi + Math.imul(ah7, bh2)) | 0;
+    lo = (lo + Math.imul(al6, bl3)) | 0;
+    mid = (mid + Math.imul(al6, bh3)) | 0;
+    mid = (mid + Math.imul(ah6, bl3)) | 0;
+    hi = (hi + Math.imul(ah6, bh3)) | 0;
+    lo = (lo + Math.imul(al5, bl4)) | 0;
+    mid = (mid + Math.imul(al5, bh4)) | 0;
+    mid = (mid + Math.imul(ah5, bl4)) | 0;
+    hi = (hi + Math.imul(ah5, bh4)) | 0;
+    lo = (lo + Math.imul(al4, bl5)) | 0;
+    mid = (mid + Math.imul(al4, bh5)) | 0;
+    mid = (mid + Math.imul(ah4, bl5)) | 0;
+    hi = (hi + Math.imul(ah4, bh5)) | 0;
+    lo = (lo + Math.imul(al3, bl6)) | 0;
+    mid = (mid + Math.imul(al3, bh6)) | 0;
+    mid = (mid + Math.imul(ah3, bl6)) | 0;
+    hi = (hi + Math.imul(ah3, bh6)) | 0;
+    lo = (lo + Math.imul(al2, bl7)) | 0;
+    mid = (mid + Math.imul(al2, bh7)) | 0;
+    mid = (mid + Math.imul(ah2, bl7)) | 0;
+    hi = (hi + Math.imul(ah2, bh7)) | 0;
+    lo = (lo + Math.imul(al1, bl8)) | 0;
+    mid = (mid + Math.imul(al1, bh8)) | 0;
+    mid = (mid + Math.imul(ah1, bl8)) | 0;
+    hi = (hi + Math.imul(ah1, bh8)) | 0;
+    lo = (lo + Math.imul(al0, bl9)) | 0;
+    mid = (mid + Math.imul(al0, bh9)) | 0;
+    mid = (mid + Math.imul(ah0, bl9)) | 0;
+    hi = (hi + Math.imul(ah0, bh9)) | 0;
+    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;
+    w9 &= 0x3ffffff;
+    /* k = 10 */
+    lo = Math.imul(al9, bl1);
+    mid = Math.imul(al9, bh1);
+    mid = (mid + Math.imul(ah9, bl1)) | 0;
+    hi = Math.imul(ah9, bh1);
+    lo = (lo + Math.imul(al8, bl2)) | 0;
+    mid = (mid + Math.imul(al8, bh2)) | 0;
+    mid = (mid + Math.imul(ah8, bl2)) | 0;
+    hi = (hi + Math.imul(ah8, bh2)) | 0;
+    lo = (lo + Math.imul(al7, bl3)) | 0;
+    mid = (mid + Math.imul(al7, bh3)) | 0;
+    mid = (mid + Math.imul(ah7, bl3)) | 0;
+    hi = (hi + Math.imul(ah7, bh3)) | 0;
+    lo = (lo + Math.imul(al6, bl4)) | 0;
+    mid = (mid + Math.imul(al6, bh4)) | 0;
+    mid = (mid + Math.imul(ah6, bl4)) | 0;
+    hi = (hi + Math.imul(ah6, bh4)) | 0;
+    lo = (lo + Math.imul(al5, bl5)) | 0;
+    mid = (mid + Math.imul(al5, bh5)) | 0;
+    mid = (mid + Math.imul(ah5, bl5)) | 0;
+    hi = (hi + Math.imul(ah5, bh5)) | 0;
+    lo = (lo + Math.imul(al4, bl6)) | 0;
+    mid = (mid + Math.imul(al4, bh6)) | 0;
+    mid = (mid + Math.imul(ah4, bl6)) | 0;
+    hi = (hi + Math.imul(ah4, bh6)) | 0;
+    lo = (lo + Math.imul(al3, bl7)) | 0;
+    mid = (mid + Math.imul(al3, bh7)) | 0;
+    mid = (mid + Math.imul(ah3, bl7)) | 0;
+    hi = (hi + Math.imul(ah3, bh7)) | 0;
+    lo = (lo + Math.imul(al2, bl8)) | 0;
+    mid = (mid + Math.imul(al2, bh8)) | 0;
+    mid = (mid + Math.imul(ah2, bl8)) | 0;
+    hi = (hi + Math.imul(ah2, bh8)) | 0;
+    lo = (lo + Math.imul(al1, bl9)) | 0;
+    mid = (mid + Math.imul(al1, bh9)) | 0;
+    mid = (mid + Math.imul(ah1, bl9)) | 0;
+    hi = (hi + Math.imul(ah1, bh9)) | 0;
+    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;
+    w10 &= 0x3ffffff;
+    /* k = 11 */
+    lo = Math.imul(al9, bl2);
+    mid = Math.imul(al9, bh2);
+    mid = (mid + Math.imul(ah9, bl2)) | 0;
+    hi = Math.imul(ah9, bh2);
+    lo = (lo + Math.imul(al8, bl3)) | 0;
+    mid = (mid + Math.imul(al8, bh3)) | 0;
+    mid = (mid + Math.imul(ah8, bl3)) | 0;
+    hi = (hi + Math.imul(ah8, bh3)) | 0;
+    lo = (lo + Math.imul(al7, bl4)) | 0;
+    mid = (mid + Math.imul(al7, bh4)) | 0;
+    mid = (mid + Math.imul(ah7, bl4)) | 0;
+    hi = (hi + Math.imul(ah7, bh4)) | 0;
+    lo = (lo + Math.imul(al6, bl5)) | 0;
+    mid = (mid + Math.imul(al6, bh5)) | 0;
+    mid = (mid + Math.imul(ah6, bl5)) | 0;
+    hi = (hi + Math.imul(ah6, bh5)) | 0;
+    lo = (lo + Math.imul(al5, bl6)) | 0;
+    mid = (mid + Math.imul(al5, bh6)) | 0;
+    mid = (mid + Math.imul(ah5, bl6)) | 0;
+    hi = (hi + Math.imul(ah5, bh6)) | 0;
+    lo = (lo + Math.imul(al4, bl7)) | 0;
+    mid = (mid + Math.imul(al4, bh7)) | 0;
+    mid = (mid + Math.imul(ah4, bl7)) | 0;
+    hi = (hi + Math.imul(ah4, bh7)) | 0;
+    lo = (lo + Math.imul(al3, bl8)) | 0;
+    mid = (mid + Math.imul(al3, bh8)) | 0;
+    mid = (mid + Math.imul(ah3, bl8)) | 0;
+    hi = (hi + Math.imul(ah3, bh8)) | 0;
+    lo = (lo + Math.imul(al2, bl9)) | 0;
+    mid = (mid + Math.imul(al2, bh9)) | 0;
+    mid = (mid + Math.imul(ah2, bl9)) | 0;
+    hi = (hi + Math.imul(ah2, bh9)) | 0;
+    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;
+    w11 &= 0x3ffffff;
+    /* k = 12 */
+    lo = Math.imul(al9, bl3);
+    mid = Math.imul(al9, bh3);
+    mid = (mid + Math.imul(ah9, bl3)) | 0;
+    hi = Math.imul(ah9, bh3);
+    lo = (lo + Math.imul(al8, bl4)) | 0;
+    mid = (mid + Math.imul(al8, bh4)) | 0;
+    mid = (mid + Math.imul(ah8, bl4)) | 0;
+    hi = (hi + Math.imul(ah8, bh4)) | 0;
+    lo = (lo + Math.imul(al7, bl5)) | 0;
+    mid = (mid + Math.imul(al7, bh5)) | 0;
+    mid = (mid + Math.imul(ah7, bl5)) | 0;
+    hi = (hi + Math.imul(ah7, bh5)) | 0;
+    lo = (lo + Math.imul(al6, bl6)) | 0;
+    mid = (mid + Math.imul(al6, bh6)) | 0;
+    mid = (mid + Math.imul(ah6, bl6)) | 0;
+    hi = (hi + Math.imul(ah6, bh6)) | 0;
+    lo = (lo + Math.imul(al5, bl7)) | 0;
+    mid = (mid + Math.imul(al5, bh7)) | 0;
+    mid = (mid + Math.imul(ah5, bl7)) | 0;
+    hi = (hi + Math.imul(ah5, bh7)) | 0;
+    lo = (lo + Math.imul(al4, bl8)) | 0;
+    mid = (mid + Math.imul(al4, bh8)) | 0;
+    mid = (mid + Math.imul(ah4, bl8)) | 0;
+    hi = (hi + Math.imul(ah4, bh8)) | 0;
+    lo = (lo + Math.imul(al3, bl9)) | 0;
+    mid = (mid + Math.imul(al3, bh9)) | 0;
+    mid = (mid + Math.imul(ah3, bl9)) | 0;
+    hi = (hi + Math.imul(ah3, bh9)) | 0;
+    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;
+    w12 &= 0x3ffffff;
+    /* k = 13 */
+    lo = Math.imul(al9, bl4);
+    mid = Math.imul(al9, bh4);
+    mid = (mid + Math.imul(ah9, bl4)) | 0;
+    hi = Math.imul(ah9, bh4);
+    lo = (lo + Math.imul(al8, bl5)) | 0;
+    mid = (mid + Math.imul(al8, bh5)) | 0;
+    mid = (mid + Math.imul(ah8, bl5)) | 0;
+    hi = (hi + Math.imul(ah8, bh5)) | 0;
+    lo = (lo + Math.imul(al7, bl6)) | 0;
+    mid = (mid + Math.imul(al7, bh6)) | 0;
+    mid = (mid + Math.imul(ah7, bl6)) | 0;
+    hi = (hi + Math.imul(ah7, bh6)) | 0;
+    lo = (lo + Math.imul(al6, bl7)) | 0;
+    mid = (mid + Math.imul(al6, bh7)) | 0;
+    mid = (mid + Math.imul(ah6, bl7)) | 0;
+    hi = (hi + Math.imul(ah6, bh7)) | 0;
+    lo = (lo + Math.imul(al5, bl8)) | 0;
+    mid = (mid + Math.imul(al5, bh8)) | 0;
+    mid = (mid + Math.imul(ah5, bl8)) | 0;
+    hi = (hi + Math.imul(ah5, bh8)) | 0;
+    lo = (lo + Math.imul(al4, bl9)) | 0;
+    mid = (mid + Math.imul(al4, bh9)) | 0;
+    mid = (mid + Math.imul(ah4, bl9)) | 0;
+    hi = (hi + Math.imul(ah4, bh9)) | 0;
+    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;
+    w13 &= 0x3ffffff;
+    /* k = 14 */
+    lo = Math.imul(al9, bl5);
+    mid = Math.imul(al9, bh5);
+    mid = (mid + Math.imul(ah9, bl5)) | 0;
+    hi = Math.imul(ah9, bh5);
+    lo = (lo + Math.imul(al8, bl6)) | 0;
+    mid = (mid + Math.imul(al8, bh6)) | 0;
+    mid = (mid + Math.imul(ah8, bl6)) | 0;
+    hi = (hi + Math.imul(ah8, bh6)) | 0;
+    lo = (lo + Math.imul(al7, bl7)) | 0;
+    mid = (mid + Math.imul(al7, bh7)) | 0;
+    mid = (mid + Math.imul(ah7, bl7)) | 0;
+    hi = (hi + Math.imul(ah7, bh7)) | 0;
+    lo = (lo + Math.imul(al6, bl8)) | 0;
+    mid = (mid + Math.imul(al6, bh8)) | 0;
+    mid = (mid + Math.imul(ah6, bl8)) | 0;
+    hi = (hi + Math.imul(ah6, bh8)) | 0;
+    lo = (lo + Math.imul(al5, bl9)) | 0;
+    mid = (mid + Math.imul(al5, bh9)) | 0;
+    mid = (mid + Math.imul(ah5, bl9)) | 0;
+    hi = (hi + Math.imul(ah5, bh9)) | 0;
+    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;
+    w14 &= 0x3ffffff;
+    /* k = 15 */
+    lo = Math.imul(al9, bl6);
+    mid = Math.imul(al9, bh6);
+    mid = (mid + Math.imul(ah9, bl6)) | 0;
+    hi = Math.imul(ah9, bh6);
+    lo = (lo + Math.imul(al8, bl7)) | 0;
+    mid = (mid + Math.imul(al8, bh7)) | 0;
+    mid = (mid + Math.imul(ah8, bl7)) | 0;
+    hi = (hi + Math.imul(ah8, bh7)) | 0;
+    lo = (lo + Math.imul(al7, bl8)) | 0;
+    mid = (mid + Math.imul(al7, bh8)) | 0;
+    mid = (mid + Math.imul(ah7, bl8)) | 0;
+    hi = (hi + Math.imul(ah7, bh8)) | 0;
+    lo = (lo + Math.imul(al6, bl9)) | 0;
+    mid = (mid + Math.imul(al6, bh9)) | 0;
+    mid = (mid + Math.imul(ah6, bl9)) | 0;
+    hi = (hi + Math.imul(ah6, bh9)) | 0;
+    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;
+    w15 &= 0x3ffffff;
+    /* k = 16 */
+    lo = Math.imul(al9, bl7);
+    mid = Math.imul(al9, bh7);
+    mid = (mid + Math.imul(ah9, bl7)) | 0;
+    hi = Math.imul(ah9, bh7);
+    lo = (lo + Math.imul(al8, bl8)) | 0;
+    mid = (mid + Math.imul(al8, bh8)) | 0;
+    mid = (mid + Math.imul(ah8, bl8)) | 0;
+    hi = (hi + Math.imul(ah8, bh8)) | 0;
+    lo = (lo + Math.imul(al7, bl9)) | 0;
+    mid = (mid + Math.imul(al7, bh9)) | 0;
+    mid = (mid + Math.imul(ah7, bl9)) | 0;
+    hi = (hi + Math.imul(ah7, bh9)) | 0;
+    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;
+    w16 &= 0x3ffffff;
+    /* k = 17 */
+    lo = Math.imul(al9, bl8);
+    mid = Math.imul(al9, bh8);
+    mid = (mid + Math.imul(ah9, bl8)) | 0;
+    hi = Math.imul(ah9, bh8);
+    lo = (lo + Math.imul(al8, bl9)) | 0;
+    mid = (mid + Math.imul(al8, bh9)) | 0;
+    mid = (mid + Math.imul(ah8, bl9)) | 0;
+    hi = (hi + Math.imul(ah8, bh9)) | 0;
+    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;
+    w17 &= 0x3ffffff;
+    /* k = 18 */
+    lo = Math.imul(al9, bl9);
+    mid = Math.imul(al9, bh9);
+    mid = (mid + Math.imul(ah9, bl9)) | 0;
+    hi = Math.imul(ah9, bh9);
+    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;
+    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;
+    w18 &= 0x3ffffff;
+    o[0] = w0;
+    o[1] = w1;
+    o[2] = w2;
+    o[3] = w3;
+    o[4] = w4;
+    o[5] = w5;
+    o[6] = w6;
+    o[7] = w7;
+    o[8] = w8;
+    o[9] = w9;
+    o[10] = w10;
+    o[11] = w11;
+    o[12] = w12;
+    o[13] = w13;
+    o[14] = w14;
+    o[15] = w15;
+    o[16] = w16;
+    o[17] = w17;
+    o[18] = w18;
+    if (c !== 0) {
+      o[19] = c;
+      out.length++;
+    }
+    return out;
+  };
+
+  // Polyfill comb
+  if (!Math.imul) {
+    comb10MulTo = smallMulTo;
+  }
+
+  function bigMulTo (self, num, out) {
+    out.negative = num.negative ^ self.negative;
+    out.length = self.length + num.length;
+
+    var carry = 0;
+    var hncarry = 0;
+    for (var k = 0; k < out.length - 1; k++) {
+      // Sum all words with the same `i + j = k` and accumulate `ncarry`,
+      // note that ncarry could be >= 0x3ffffff
+      var ncarry = hncarry;
+      hncarry = 0;
+      var rword = carry & 0x3ffffff;
+      var maxJ = Math.min(k, num.length - 1);
+      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {
+        var i = k - j;
+        var a = self.words[i] | 0;
+        var b = num.words[j] | 0;
+        var r = a * b;
+
+        var lo = r & 0x3ffffff;
+        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;
+        lo = (lo + rword) | 0;
+        rword = lo & 0x3ffffff;
+        ncarry = (ncarry + (lo >>> 26)) | 0;
+
+        hncarry += ncarry >>> 26;
+        ncarry &= 0x3ffffff;
+      }
+      out.words[k] = rword;
+      carry = ncarry;
+      ncarry = hncarry;
+    }
+    if (carry !== 0) {
+      out.words[k] = carry;
+    } else {
+      out.length--;
+    }
+
+    return out.strip();
+  }
+
+  function jumboMulTo (self, num, out) {
+    var fftm = new FFTM();
+    return fftm.mulp(self, num, out);
+  }
+
+  BN.prototype.mulTo = function mulTo (num, out) {
+    var res;
+    var len = this.length + num.length;
+    if (this.length === 10 && num.length === 10) {
+      res = comb10MulTo(this, num, out);
+    } else if (len < 63) {
+      res = smallMulTo(this, num, out);
+    } else if (len < 1024) {
+      res = bigMulTo(this, num, out);
+    } else {
+      res = jumboMulTo(this, num, out);
+    }
+
+    return res;
+  };
+
+  // Cooley-Tukey algorithm for FFT
+  // slightly revisited to rely on looping instead of recursion
+
+  function FFTM (x, y) {
+    this.x = x;
+    this.y = y;
+  }
+
+  FFTM.prototype.makeRBT = function makeRBT (N) {
+    var t = new Array(N);
+    var l = BN.prototype._countBits(N) - 1;
+    for (var i = 0; i < N; i++) {
+      t[i] = this.revBin(i, l, N);
+    }
+
+    return t;
+  };
+
+  // Returns binary-reversed representation of `x`
+  FFTM.prototype.revBin = function revBin (x, l, N) {
+    if (x === 0 || x === N - 1) return x;
+
+    var rb = 0;
+    for (var i = 0; i < l; i++) {
+      rb |= (x & 1) << (l - i - 1);
+      x >>= 1;
+    }
+
+    return rb;
+  };
+
+  // Performs "tweedling" phase, therefore 'emulating'
+  // behaviour of the recursive algorithm
+  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {
+    for (var i = 0; i < N; i++) {
+      rtws[i] = rws[rbt[i]];
+      itws[i] = iws[rbt[i]];
+    }
+  };
+
+  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {
+    this.permute(rbt, rws, iws, rtws, itws, N);
+
+    for (var s = 1; s < N; s <<= 1) {
+      var l = s << 1;
+
+      var rtwdf = Math.cos(2 * Math.PI / l);
+      var itwdf = Math.sin(2 * Math.PI / l);
+
+      for (var p = 0; p < N; p += l) {
+        var rtwdf_ = rtwdf;
+        var itwdf_ = itwdf;
+
+        for (var j = 0; j < s; j++) {
+          var re = rtws[p + j];
+          var ie = itws[p + j];
+
+          var ro = rtws[p + j + s];
+          var io = itws[p + j + s];
+
+          var rx = rtwdf_ * ro - itwdf_ * io;
+
+          io = rtwdf_ * io + itwdf_ * ro;
+          ro = rx;
+
+          rtws[p + j] = re + ro;
+          itws[p + j] = ie + io;
+
+          rtws[p + j + s] = re - ro;
+          itws[p + j + s] = ie - io;
+
+          /* jshint maxdepth : false */
+          if (j !== l) {
+            rx = rtwdf * rtwdf_ - itwdf * itwdf_;
+
+            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;
+            rtwdf_ = rx;
+          }
+        }
+      }
+    }
+  };
+
+  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {
+    var N = Math.max(m, n) | 1;
+    var odd = N & 1;
+    var i = 0;
+    for (N = N / 2 | 0; N; N = N >>> 1) {
+      i++;
+    }
+
+    return 1 << i + 1 + odd;
+  };
+
+  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {
+    if (N <= 1) return;
+
+    for (var i = 0; i < N / 2; i++) {
+      var t = rws[i];
+
+      rws[i] = rws[N - i - 1];
+      rws[N - i - 1] = t;
+
+      t = iws[i];
+
+      iws[i] = -iws[N - i - 1];
+      iws[N - i - 1] = -t;
+    }
+  };
+
+  FFTM.prototype.normalize13b = function normalize13b (ws, N) {
+    var carry = 0;
+    for (var i = 0; i < N / 2; i++) {
+      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +
+        Math.round(ws[2 * i] / N) +
+        carry;
+
+      ws[i] = w & 0x3ffffff;
+
+      if (w < 0x4000000) {
+        carry = 0;
+      } else {
+        carry = w / 0x4000000 | 0;
+      }
+    }
+
+    return ws;
+  };
+
+  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {
+    var carry = 0;
+    for (var i = 0; i < len; i++) {
+      carry = carry + (ws[i] | 0);
+
+      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;
+      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;
+    }
+
+    // Pad with zeroes
+    for (i = 2 * len; i < N; ++i) {
+      rws[i] = 0;
+    }
+
+    assert(carry === 0);
+    assert((carry & ~0x1fff) === 0);
+  };
+
+  FFTM.prototype.stub = function stub (N) {
+    var ph = new Array(N);
+    for (var i = 0; i < N; i++) {
+      ph[i] = 0;
+    }
+
+    return ph;
+  };
+
+  FFTM.prototype.mulp = function mulp (x, y, out) {
+    var N = 2 * this.guessLen13b(x.length, y.length);
+
+    var rbt = this.makeRBT(N);
+
+    var _ = this.stub(N);
+
+    var rws = new Array(N);
+    var rwst = new Array(N);
+    var iwst = new Array(N);
+
+    var nrws = new Array(N);
+    var nrwst = new Array(N);
+    var niwst = new Array(N);
+
+    var rmws = out.words;
+    rmws.length = N;
+
+    this.convert13b(x.words, x.length, rws, N);
+    this.convert13b(y.words, y.length, nrws, N);
+
+    this.transform(rws, _, rwst, iwst, N, rbt);
+    this.transform(nrws, _, nrwst, niwst, N, rbt);
+
+    for (var i = 0; i < N; i++) {
+      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];
+      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];
+      rwst[i] = rx;
+    }
+
+    this.conjugate(rwst, iwst, N);
+    this.transform(rwst, iwst, rmws, _, N, rbt);
+    this.conjugate(rmws, _, N);
+    this.normalize13b(rmws, N);
+
+    out.negative = x.negative ^ y.negative;
+    out.length = x.length + y.length;
+    return out.strip();
+  };
+
+  // Multiply `this` by `num`
+  BN.prototype.mul = function mul (num) {
+    var out = new BN(null);
+    out.words = new Array(this.length + num.length);
+    return this.mulTo(num, out);
+  };
+
+  // Multiply employing FFT
+  BN.prototype.mulf = function mulf (num) {
+    var out = new BN(null);
+    out.words = new Array(this.length + num.length);
+    return jumboMulTo(this, num, out);
+  };
+
+  // In-place Multiplication
+  BN.prototype.imul = function imul (num) {
+    return this.clone().mulTo(num, this);
+  };
+
+  BN.prototype.imuln = function imuln (num) {
+    assert(typeof num === 'number');
+    assert(num < 0x4000000);
+
+    // Carry
+    var carry = 0;
+    for (var i = 0; i < this.length; i++) {
+      var w = (this.words[i] | 0) * num;
+      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);
+      carry >>= 26;
+      carry += (w / 0x4000000) | 0;
+      // NOTE: lo is 27bit maximum
+      carry += lo >>> 26;
+      this.words[i] = lo & 0x3ffffff;
+    }
+
+    if (carry !== 0) {
+      this.words[i] = carry;
+      this.length++;
+    }
+
+    return this;
+  };
+
+  BN.prototype.muln = function muln (num) {
+    return this.clone().imuln(num);
+  };
+
+  // `this` * `this`
+  BN.prototype.sqr = function sqr () {
+    return this.mul(this);
+  };
+
+  // `this` * `this` in-place
+  BN.prototype.isqr = function isqr () {
+    return this.imul(this.clone());
+  };
+
+  // Math.pow(`this`, `num`)
+  BN.prototype.pow = function pow (num) {
+    var w = toBitArray(num);
+    if (w.length === 0) return new BN(1);
+
+    // Skip leading zeroes
+    var res = this;
+    for (var i = 0; i < w.length; i++, res = res.sqr()) {
+      if (w[i] !== 0) break;
+    }
+
+    if (++i < w.length) {
+      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {
+        if (w[i] === 0) continue;
+
+        res = res.mul(q);
+      }
+    }
+
+    return res;
+  };
+
+  // Shift-left in-place
+  BN.prototype.iushln = function iushln (bits) {
+    assert(typeof bits === 'number' && bits >= 0);
+    var r = bits % 26;
+    var s = (bits - r) / 26;
+    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);
+    var i;
+
+    if (r !== 0) {
+      var carry = 0;
+
+      for (i = 0; i < this.length; i++) {
+        var newCarry = this.words[i] & carryMask;
+        var c = ((this.words[i] | 0) - newCarry) << r;
+        this.words[i] = c | carry;
+        carry = newCarry >>> (26 - r);
+      }
+
+      if (carry) {
+        this.words[i] = carry;
+        this.length++;
+      }
+    }
+
+    if (s !== 0) {
+      for (i = this.length - 1; i >= 0; i--) {
+        this.words[i + s] = this.words[i];
+      }
+
+      for (i = 0; i < s; i++) {
+        this.words[i] = 0;
+      }
+
+      this.length += s;
+    }
+
+    return this.strip();
+  };
+
+  BN.prototype.ishln = function ishln (bits) {
+    // TODO(indutny): implement me
+    assert(this.negative === 0);
+    return this.iushln(bits);
+  };
+
+  // Shift-right in-place
+  // NOTE: `hint` is a lowest bit before trailing zeroes
+  // NOTE: if `extended` is present - it will be filled with destroyed bits
+  BN.prototype.iushrn = function iushrn (bits, hint, extended) {
+    assert(typeof bits === 'number' && bits >= 0);
+    var h;
+    if (hint) {
+      h = (hint - (hint % 26)) / 26;
+    } else {
+      h = 0;
+    }
+
+    var r = bits % 26;
+    var s = Math.min((bits - r) / 26, this.length);
+    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);
+    var maskedWords = extended;
+
+    h -= s;
+    h = Math.max(0, h);
+
+    // Extended mode, copy masked part
+    if (maskedWords) {
+      for (var i = 0; i < s; i++) {
+        maskedWords.words[i] = this.words[i];
+      }
+      maskedWords.length = s;
+    }
+
+    if (s === 0) {
+      // No-op, we should not move anything at all
+    } else if (this.length > s) {
+      this.length -= s;
+      for (i = 0; i < this.length; i++) {
+        this.words[i] = this.words[i + s];
+      }
+    } else {
+      this.words[0] = 0;
+      this.length = 1;
+    }
+
+    var carry = 0;
+    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {
+      var word = this.words[i] | 0;
+      this.words[i] = (carry << (26 - r)) | (word >>> r);
+      carry = word & mask;
+    }
+
+    // Push carried bits as a mask
+    if (maskedWords && carry !== 0) {
+      maskedWords.words[maskedWords.length++] = carry;
+    }
+
+    if (this.length === 0) {
+      this.words[0] = 0;
+      this.length = 1;
+    }
+
+    return this.strip();
+  };
+
+  BN.prototype.ishrn = function ishrn (bits, hint, extended) {
+    // TODO(indutny): implement me
+    assert(this.negative === 0);
+    return this.iushrn(bits, hint, extended);
+  };
+
+  // Shift-left
+  BN.prototype.shln = function shln (bits) {
+    return this.clone().ishln(bits);
+  };
+
+  BN.prototype.ushln = function ushln (bits) {
+    return this.clone().iushln(bits);
+  };
+
+  // Shift-right
+  BN.prototype.shrn = function shrn (bits) {
+    return this.clone().ishrn(bits);
+  };
+
+  BN.prototype.ushrn = function ushrn (bits) {
+    return this.clone().iushrn(bits);
+  };
+
+  // Test if n bit is set
+  BN.prototype.testn = function testn (bit) {
+    assert(typeof bit === 'number' && bit >= 0);
+    var r = bit % 26;
+    var s = (bit - r) / 26;
+    var q = 1 << r;
+
+    // Fast case: bit is much higher than all existing words
+    if (this.length <= s) return false;
+
+    // Check bit and return
+    var w = this.words[s];
+
+    return !!(w & q);
+  };
+
+  // Return only lowers bits of number (in-place)
+  BN.prototype.imaskn = function imaskn (bits) {
+    assert(typeof bits === 'number' && bits >= 0);
+    var r = bits % 26;
+    var s = (bits - r) / 26;
+
+    assert(this.negative === 0, 'imaskn works only with positive numbers');
+
+    if (this.length <= s) {
+      return this;
+    }
+
+    if (r !== 0) {
+      s++;
+    }
+    this.length = Math.min(s, this.length);
+
+    if (r !== 0) {
+      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);
+      this.words[this.length - 1] &= mask;
+    }
+
+    return this.strip();
+  };
+
+  // Return only lowers bits of number
+  BN.prototype.maskn = function maskn (bits) {
+    return this.clone().imaskn(bits);
+  };
+
+  // Add plain number `num` to `this`
+  BN.prototype.iaddn = function iaddn (num) {
+    assert(typeof num === 'number');
+    assert(num < 0x4000000);
+    if (num < 0) return this.isubn(-num);
+
+    // Possible sign change
+    if (this.negative !== 0) {
+      if (this.length === 1 && (this.words[0] | 0) < num) {
+        this.words[0] = num - (this.words[0] | 0);
+        this.negative = 0;
+        return this;
+      }
+
+      this.negative = 0;
+      this.isubn(num);
+      this.negative = 1;
+      return this;
+    }
+
+    // Add without checks
+    return this._iaddn(num);
+  };
+
+  BN.prototype._iaddn = function _iaddn (num) {
+    this.words[0] += num;
+
+    // Carry
+    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {
+      this.words[i] -= 0x4000000;
+      if (i === this.length - 1) {
+        this.words[i + 1] = 1;
+      } else {
+        this.words[i + 1]++;
+      }
+    }
+    this.length = Math.max(this.length, i + 1);
+
+    return this;
+  };
+
+  // Subtract plain number `num` from `this`
+  BN.prototype.isubn = function isubn (num) {
+    assert(typeof num === 'number');
+    assert(num < 0x4000000);
+    if (num < 0) return this.iaddn(-num);
+
+    if (this.negative !== 0) {
+      this.negative = 0;
+      this.iaddn(num);
+      this.negative = 1;
+      return this;
+    }
+
+    this.words[0] -= num;
+
+    if (this.length === 1 && this.words[0] < 0) {
+      this.words[0] = -this.words[0];
+      this.negative = 1;
+    } else {
+      // Carry
+      for (var i = 0; i < this.length && this.words[i] < 0; i++) {
+        this.words[i] += 0x4000000;
+        this.words[i + 1] -= 1;
+      }
+    }
+
+    return this.strip();
+  };
+
+  BN.prototype.addn = function addn (num) {
+    return this.clone().iaddn(num);
+  };
+
+  BN.prototype.subn = function subn (num) {
+    return this.clone().isubn(num);
+  };
+
+  BN.prototype.iabs = function iabs () {
+    this.negative = 0;
+
+    return this;
+  };
+
+  BN.prototype.abs = function abs () {
+    return this.clone().iabs();
+  };
+
+  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {
+    var len = num.length + shift;
+    var i;
+
+    this._expand(len);
+
+    var w;
+    var carry = 0;
+    for (i = 0; i < num.length; i++) {
+      w = (this.words[i + shift] | 0) + carry;
+      var right = (num.words[i] | 0) * mul;
+      w -= right & 0x3ffffff;
+      carry = (w >> 26) - ((right / 0x4000000) | 0);
+      this.words[i + shift] = w & 0x3ffffff;
+    }
+    for (; i < this.length - shift; i++) {
+      w = (this.words[i + shift] | 0) + carry;
+      carry = w >> 26;
+      this.words[i + shift] = w & 0x3ffffff;
+    }
+
+    if (carry === 0) return this.strip();
+
+    // Subtraction overflow
+    assert(carry === -1);
+    carry = 0;
+    for (i = 0; i < this.length; i++) {
+      w = -(this.words[i] | 0) + carry;
+      carry = w >> 26;
+      this.words[i] = w & 0x3ffffff;
+    }
+    this.negative = 1;
+
+    return this.strip();
+  };
+
+  BN.prototype._wordDiv = function _wordDiv (num, mode) {
+    var shift = this.length - num.length;
+
+    var a = this.clone();
+    var b = num;
+
+    // Normalize
+    var bhi = b.words[b.length - 1] | 0;
+    var bhiBits = this._countBits(bhi);
+    shift = 26 - bhiBits;
+    if (shift !== 0) {
+      b = b.ushln(shift);
+      a.iushln(shift);
+      bhi = b.words[b.length - 1] | 0;
+    }
+
+    // Initialize quotient
+    var m = a.length - b.length;
+    var q;
+
+    if (mode !== 'mod') {
+      q = new BN(null);
+      q.length = m + 1;
+      q.words = new Array(q.length);
+      for (var i = 0; i < q.length; i++) {
+        q.words[i] = 0;
+      }
+    }
+
+    var diff = a.clone()._ishlnsubmul(b, 1, m);
+    if (diff.negative === 0) {
+      a = diff;
+      if (q) {
+        q.words[m] = 1;
+      }
+    }
+
+    for (var j = m - 1; j >= 0; j--) {
+      var qj = (a.words[b.length + j] | 0) * 0x4000000 +
+        (a.words[b.length + j - 1] | 0);
+
+      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max
+      // (0x7ffffff)
+      qj = Math.min((qj / bhi) | 0, 0x3ffffff);
+
+      a._ishlnsubmul(b, qj, j);
+      while (a.negative !== 0) {
+        qj--;
+        a.negative = 0;
+        a._ishlnsubmul(b, 1, j);
+        if (!a.isZero()) {
+          a.negative ^= 1;
+        }
+      }
+      if (q) {
+        q.words[j] = qj;
+      }
+    }
+    if (q) {
+      q.strip();
+    }
+    a.strip();
+
+    // Denormalize
+    if (mode !== 'div' && shift !== 0) {
+      a.iushrn(shift);
+    }
+
+    return {
+      div: q || null,
+      mod: a
+    };
+  };
+
+  // NOTE: 1) `mode` can be set to `mod` to request mod only,
+  //       to `div` to request div only, or be absent to
+  //       request both div & mod
+  //       2) `positive` is true if unsigned mod is requested
+  BN.prototype.divmod = function divmod (num, mode, positive) {
+    assert(!num.isZero());
+
+    if (this.isZero()) {
+      return {
+        div: new BN(0),
+        mod: new BN(0)
+      };
+    }
+
+    var div, mod, res;
+    if (this.negative !== 0 && num.negative === 0) {
+      res = this.neg().divmod(num, mode);
+
+      if (mode !== 'mod') {
+        div = res.div.neg();
+      }
+
+      if (mode !== 'div') {
+        mod = res.mod.neg();
+        if (positive && mod.negative !== 0) {
+          mod.iadd(num);
+        }
+      }
+
+      return {
+        div: div,
+        mod: mod
+      };
+    }
+
+    if (this.negative === 0 && num.negative !== 0) {
+      res = this.divmod(num.neg(), mode);
+
+      if (mode !== 'mod') {
+        div = res.div.neg();
+      }
+
+      return {
+        div: div,
+        mod: res.mod
+      };
+    }
+
+    if ((this.negative & num.negative) !== 0) {
+      res = this.neg().divmod(num.neg(), mode);
+
+      if (mode !== 'div') {
+        mod = res.mod.neg();
+        if (positive && mod.negative !== 0) {
+          mod.isub(num);
+        }
+      }
+
+      return {
+        div: res.div,
+        mod: mod
+      };
+    }
+
+    // Both numbers are positive at this point
+
+    // Strip both numbers to approximate shift value
+    if (num.length > this.length || this.cmp(num) < 0) {
+      return {
+        div: new BN(0),
+        mod: this
+      };
+    }
+
+    // Very short reduction
+    if (num.length === 1) {
+      if (mode === 'div') {
+        return {
+          div: this.divn(num.words[0]),
+          mod: null
+        };
+      }
+
+      if (mode === 'mod') {
+        return {
+          div: null,
+          mod: new BN(this.modn(num.words[0]))
+        };
+      }
+
+      return {
+        div: this.divn(num.words[0]),
+        mod: new BN(this.modn(num.words[0]))
+      };
+    }
+
+    return this._wordDiv(num, mode);
+  };
+
+  // Find `this` / `num`
+  BN.prototype.div = function div (num) {
+    return this.divmod(num, 'div', false).div;
+  };
+
+  // Find `this` % `num`
+  BN.prototype.mod = function mod (num) {
+    return this.divmod(num, 'mod', false).mod;
+  };
+
+  BN.prototype.umod = function umod (num) {
+    return this.divmod(num, 'mod', true).mod;
+  };
+
+  // Find Round(`this` / `num`)
+  BN.prototype.divRound = function divRound (num) {
+    var dm = this.divmod(num);
+
+    // Fast case - exact division
+    if (dm.mod.isZero()) return dm.div;
+
+    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;
+
+    var half = num.ushrn(1);
+    var r2 = num.andln(1);
+    var cmp = mod.cmp(half);
+
+    // Round down
+    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;
+
+    // Round up
+    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);
+  };
+
+  BN.prototype.modn = function modn (num) {
+    assert(num <= 0x3ffffff);
+    var p = (1 << 26) % num;
+
+    var acc = 0;
+    for (var i = this.length - 1; i >= 0; i--) {
+      acc = (p * acc + (this.words[i] | 0)) % num;
+    }
+
+    return acc;
+  };
+
+  // In-place division by number
+  BN.prototype.idivn = function idivn (num) {
+    assert(num <= 0x3ffffff);
+
+    var carry = 0;
+    for (var i = this.length - 1; i >= 0; i--) {
+      var w = (this.words[i] | 0) + carry * 0x4000000;
+      this.words[i] = (w / num) | 0;
+      carry = w % num;
+    }
+
+    return this.strip();
+  };
+
+  BN.prototype.divn = function divn (num) {
+    return this.clone().idivn(num);
+  };
+
+  BN.prototype.egcd = function egcd (p) {
+    assert(p.negative === 0);
+    assert(!p.isZero());
+
+    var x = this;
+    var y = p.clone();
+
+    if (x.negative !== 0) {
+      x = x.umod(p);
+    } else {
+      x = x.clone();
+    }
+
+    // A * x + B * y = x
+    var A = new BN(1);
+    var B = new BN(0);
+
+    // C * x + D * y = y
+    var C = new BN(0);
+    var D = new BN(1);
+
+    var g = 0;
+
+    while (x.isEven() && y.isEven()) {
+      x.iushrn(1);
+      y.iushrn(1);
+      ++g;
+    }
+
+    var yp = y.clone();
+    var xp = x.clone();
+
+    while (!x.isZero()) {
+      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);
+      if (i > 0) {
+        x.iushrn(i);
+        while (i-- > 0) {
+          if (A.isOdd() || B.isOdd()) {
+            A.iadd(yp);
+            B.isub(xp);
+          }
+
+          A.iushrn(1);
+          B.iushrn(1);
+        }
+      }
+
+      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);
+      if (j > 0) {
+        y.iushrn(j);
+        while (j-- > 0) {
+          if (C.isOdd() || D.isOdd()) {
+            C.iadd(yp);
+            D.isub(xp);
+          }
+
+          C.iushrn(1);
+          D.iushrn(1);
+        }
+      }
+
+      if (x.cmp(y) >= 0) {
+        x.isub(y);
+        A.isub(C);
+        B.isub(D);
+      } else {
+        y.isub(x);
+        C.isub(A);
+        D.isub(B);
+      }
+    }
+
+    return {
+      a: C,
+      b: D,
+      gcd: y.iushln(g)
+    };
+  };
+
+  // This is reduced incarnation of the binary EEA
+  // above, designated to invert members of the
+  // _prime_ fields F(p) at a maximal speed
+  BN.prototype._invmp = function _invmp (p) {
+    assert(p.negative === 0);
+    assert(!p.isZero());
+
+    var a = this;
+    var b = p.clone();
+
+    if (a.negative !== 0) {
+      a = a.umod(p);
+    } else {
+      a = a.clone();
+    }
+
+    var x1 = new BN(1);
+    var x2 = new BN(0);
+
+    var delta = b.clone();
+
+    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {
+      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);
+      if (i > 0) {
+        a.iushrn(i);
+        while (i-- > 0) {
+          if (x1.isOdd()) {
+            x1.iadd(delta);
+          }
+
+          x1.iushrn(1);
+        }
+      }
+
+      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);
+      if (j > 0) {
+        b.iushrn(j);
+        while (j-- > 0) {
+          if (x2.isOdd()) {
+            x2.iadd(delta);
+          }
+
+          x2.iushrn(1);
+        }
+      }
+
+      if (a.cmp(b) >= 0) {
+        a.isub(b);
+        x1.isub(x2);
+      } else {
+        b.isub(a);
+        x2.isub(x1);
+      }
+    }
+
+    var res;
+    if (a.cmpn(1) === 0) {
+      res = x1;
+    } else {
+      res = x2;
+    }
+
+    if (res.cmpn(0) < 0) {
+      res.iadd(p);
+    }
+
+    return res;
+  };
+
+  BN.prototype.gcd = function gcd (num) {
+    if (this.isZero()) return num.abs();
+    if (num.isZero()) return this.abs();
+
+    var a = this.clone();
+    var b = num.clone();
+    a.negative = 0;
+    b.negative = 0;
+
+    // Remove common factor of two
+    for (var shift = 0; a.isEven() && b.isEven(); shift++) {
+      a.iushrn(1);
+      b.iushrn(1);
+    }
+
+    do {
+      while (a.isEven()) {
+        a.iushrn(1);
+      }
+      while (b.isEven()) {
+        b.iushrn(1);
+      }
+
+      var r = a.cmp(b);
+      if (r < 0) {
+        // Swap `a` and `b` to make `a` always bigger than `b`
+        var t = a;
+        a = b;
+        b = t;
+      } else if (r === 0 || b.cmpn(1) === 0) {
+        break;
+      }
+
+      a.isub(b);
+    } while (true);
+
+    return b.iushln(shift);
+  };
+
+  // Invert number in the field F(num)
+  BN.prototype.invm = function invm (num) {
+    return this.egcd(num).a.umod(num);
+  };
+
+  BN.prototype.isEven = function isEven () {
+    return (this.words[0] & 1) === 0;
+  };
+
+  BN.prototype.isOdd = function isOdd () {
+    return (this.words[0] & 1) === 1;
+  };
+
+  // And first word and num
+  BN.prototype.andln = function andln (num) {
+    return this.words[0] & num;
+  };
+
+  // Increment at the bit position in-line
+  BN.prototype.bincn = function bincn (bit) {
+    assert(typeof bit === 'number');
+    var r = bit % 26;
+    var s = (bit - r) / 26;
+    var q = 1 << r;
+
+    // Fast case: bit is much higher than all existing words
+    if (this.length <= s) {
+      this._expand(s + 1);
+      this.words[s] |= q;
+      return this;
+    }
+
+    // Add bit and propagate, if needed
+    var carry = q;
+    for (var i = s; carry !== 0 && i < this.length; i++) {
+      var w = this.words[i] | 0;
+      w += carry;
+      carry = w >>> 26;
+      w &= 0x3ffffff;
+      this.words[i] = w;
+    }
+    if (carry !== 0) {
+      this.words[i] = carry;
+      this.length++;
+    }
+    return this;
+  };
+
+  BN.prototype.isZero = function isZero () {
+    return this.length === 1 && this.words[0] === 0;
+  };
+
+  BN.prototype.cmpn = function cmpn (num) {
+    var negative = num < 0;
+
+    if (this.negative !== 0 && !negative) return -1;
+    if (this.negative === 0 && negative) return 1;
+
+    this.strip();
+
+    var res;
+    if (this.length > 1) {
+      res = 1;
+    } else {
+      if (negative) {
+        num = -num;
+      }
+
+      assert(num <= 0x3ffffff, 'Number is too big');
+
+      var w = this.words[0] | 0;
+      res = w === num ? 0 : w < num ? -1 : 1;
+    }
+    if (this.negative !== 0) return -res | 0;
+    return res;
+  };
+
+  // Compare two numbers and return:
+  // 1 - if `this` > `num`
+  // 0 - if `this` == `num`
+  // -1 - if `this` < `num`
+  BN.prototype.cmp = function cmp (num) {
+    if (this.negative !== 0 && num.negative === 0) return -1;
+    if (this.negative === 0 && num.negative !== 0) return 1;
+
+    var res = this.ucmp(num);
+    if (this.negative !== 0) return -res | 0;
+    return res;
+  };
+
+  // Unsigned comparison
+  BN.prototype.ucmp = function ucmp (num) {
+    // At this point both numbers have the same sign
+    if (this.length > num.length) return 1;
+    if (this.length < num.length) return -1;
+
+    var res = 0;
+    for (var i = this.length - 1; i >= 0; i--) {
+      var a = this.words[i] | 0;
+      var b = num.words[i] | 0;
+
+      if (a === b) continue;
+      if (a < b) {
+        res = -1;
+      } else if (a > b) {
+        res = 1;
+      }
+      break;
+    }
+    return res;
+  };
+
+  BN.prototype.gtn = function gtn (num) {
+    return this.cmpn(num) === 1;
+  };
+
+  BN.prototype.gt = function gt (num) {
+    return this.cmp(num) === 1;
+  };
+
+  BN.prototype.gten = function gten (num) {
+    return this.cmpn(num) >= 0;
+  };
+
+  BN.prototype.gte = function gte (num) {
+    return this.cmp(num) >= 0;
+  };
+
+  BN.prototype.ltn = function ltn (num) {
+    return this.cmpn(num) === -1;
+  };
+
+  BN.prototype.lt = function lt (num) {
+    return this.cmp(num) === -1;
+  };
+
+  BN.prototype.lten = function lten (num) {
+    return this.cmpn(num) <= 0;
+  };
+
+  BN.prototype.lte = function lte (num) {
+    return this.cmp(num) <= 0;
+  };
+
+  BN.prototype.eqn = function eqn (num) {
+    return this.cmpn(num) === 0;
+  };
+
+  BN.prototype.eq = function eq (num) {
+    return this.cmp(num) === 0;
+  };
+
+  //
+  // A reduce context, could be using montgomery or something better, depending
+  // on the `m` itself.
+  //
+  BN.red = function red (num) {
+    return new Red(num);
+  };
+
+  BN.prototype.toRed = function toRed (ctx) {
+    assert(!this.red, 'Already a number in reduction context');
+    assert(this.negative === 0, 'red works only with positives');
+    return ctx.convertTo(this)._forceRed(ctx);
+  };
+
+  BN.prototype.fromRed = function fromRed () {
+    assert(this.red, 'fromRed works only with numbers in reduction context');
+    return this.red.convertFrom(this);
+  };
+
+  BN.prototype._forceRed = function _forceRed (ctx) {
+    this.red = ctx;
+    return this;
+  };
+
+  BN.prototype.forceRed = function forceRed (ctx) {
+    assert(!this.red, 'Already a number in reduction context');
+    return this._forceRed(ctx);
+  };
+
+  BN.prototype.redAdd = function redAdd (num) {
+    assert(this.red, 'redAdd works only with red numbers');
+    return this.red.add(this, num);
+  };
+
+  BN.prototype.redIAdd = function redIAdd (num) {
+    assert(this.red, 'redIAdd works only with red numbers');
+    return this.red.iadd(this, num);
+  };
+
+  BN.prototype.redSub = function redSub (num) {
+    assert(this.red, 'redSub works only with red numbers');
+    return this.red.sub(this, num);
+  };
+
+  BN.prototype.redISub = function redISub (num) {
+    assert(this.red, 'redISub works only with red numbers');
+    return this.red.isub(this, num);
+  };
+
+  BN.prototype.redShl = function redShl (num) {
+    assert(this.red, 'redShl works only with red numbers');
+    return this.red.shl(this, num);
+  };
+
+  BN.prototype.redMul = function redMul (num) {
+    assert(this.red, 'redMul works only with red numbers');
+    this.red._verify2(this, num);
+    return this.red.mul(this, num);
+  };
+
+  BN.prototype.redIMul = function redIMul (num) {
+    assert(this.red, 'redMul works only with red numbers');
+    this.red._verify2(this, num);
+    return this.red.imul(this, num);
+  };
+
+  BN.prototype.redSqr = function redSqr () {
+    assert(this.red, 'redSqr works only with red numbers');
+    this.red._verify1(this);
+    return this.red.sqr(this);
+  };
+
+  BN.prototype.redISqr = function redISqr () {
+    assert(this.red, 'redISqr works only with red numbers');
+    this.red._verify1(this);
+    return this.red.isqr(this);
+  };
+
+  // Square root over p
+  BN.prototype.redSqrt = function redSqrt () {
+    assert(this.red, 'redSqrt works only with red numbers');
+    this.red._verify1(this);
+    return this.red.sqrt(this);
+  };
+
+  BN.prototype.redInvm = function redInvm () {
+    assert(this.red, 'redInvm works only with red numbers');
+    this.red._verify1(this);
+    return this.red.invm(this);
+  };
+
+  // Return negative clone of `this` % `red modulo`
+  BN.prototype.redNeg = function redNeg () {
+    assert(this.red, 'redNeg works only with red numbers');
+    this.red._verify1(this);
+    return this.red.neg(this);
+  };
+
+  BN.prototype.redPow = function redPow (num) {
+    assert(this.red && !num.red, 'redPow(normalNum)');
+    this.red._verify1(this);
+    return this.red.pow(this, num);
+  };
+
+  // Prime numbers with efficient reduction
+  var primes = {
+    k256: null,
+    p224: null,
+    p192: null,
+    p25519: null
+  };
+
+  // Pseudo-Mersenne prime
+  function MPrime (name, p) {
+    // P = 2 ^ N - K
+    this.name = name;
+    this.p = new BN(p, 16);
+    this.n = this.p.bitLength();
+    this.k = new BN(1).iushln(this.n).isub(this.p);
+
+    this.tmp = this._tmp();
+  }
+
+  MPrime.prototype._tmp = function _tmp () {
+    var tmp = new BN(null);
+    tmp.words = new Array(Math.ceil(this.n / 13));
+    return tmp;
+  };
+
+  MPrime.prototype.ireduce = function ireduce (num) {
+    // Assumes that `num` is less than `P^2`
+    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)
+    var r = num;
+    var rlen;
+
+    do {
+      this.split(r, this.tmp);
+      r = this.imulK(r);
+      r = r.iadd(this.tmp);
+      rlen = r.bitLength();
+    } while (rlen > this.n);
+
+    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);
+    if (cmp === 0) {
+      r.words[0] = 0;
+      r.length = 1;
+    } else if (cmp > 0) {
+      r.isub(this.p);
+    } else {
+      r.strip();
+    }
+
+    return r;
+  };
+
+  MPrime.prototype.split = function split (input, out) {
+    input.iushrn(this.n, 0, out);
+  };
+
+  MPrime.prototype.imulK = function imulK (num) {
+    return num.imul(this.k);
+  };
+
+  function K256 () {
+    MPrime.call(
+      this,
+      'k256',
+      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');
+  }
+  inherits(K256, MPrime);
+
+  K256.prototype.split = function split (input, output) {
+    // 256 = 9 * 26 + 22
+    var mask = 0x3fffff;
+
+    var outLen = Math.min(input.length, 9);
+    for (var i = 0; i < outLen; i++) {
+      output.words[i] = input.words[i];
+    }
+    output.length = outLen;
+
+    if (input.length <= 9) {
+      input.words[0] = 0;
+      input.length = 1;
+      return;
+    }
+
+    // Shift by 9 limbs
+    var prev = input.words[9];
+    output.words[output.length++] = prev & mask;
+
+    for (i = 10; i < input.length; i++) {
+      var next = input.words[i] | 0;
+      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);
+      prev = next;
+    }
+    prev >>>= 22;
+    input.words[i - 10] = prev;
+    if (prev === 0 && input.length > 10) {
+      input.length -= 10;
+    } else {
+      input.length -= 9;
+    }
+  };
+
+  K256.prototype.imulK = function imulK (num) {
+    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]
+    num.words[num.length] = 0;
+    num.words[num.length + 1] = 0;
+    num.length += 2;
+
+    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390
+    var lo = 0;
+    for (var i = 0; i < num.length; i++) {
+      var w = num.words[i] | 0;
+      lo += w * 0x3d1;
+      num.words[i] = lo & 0x3ffffff;
+      lo = w * 0x40 + ((lo / 0x4000000) | 0);
+    }
+
+    // Fast length reduction
+    if (num.words[num.length - 1] === 0) {
+      num.length--;
+      if (num.words[num.length - 1] === 0) {
+        num.length--;
+      }
+    }
+    return num;
+  };
+
+  function P224 () {
+    MPrime.call(
+      this,
+      'p224',
+      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');
+  }
+  inherits(P224, MPrime);
+
+  function P192 () {
+    MPrime.call(
+      this,
+      'p192',
+      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');
+  }
+  inherits(P192, MPrime);
+
+  function P25519 () {
+    // 2 ^ 255 - 19
+    MPrime.call(
+      this,
+      '25519',
+      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');
+  }
+  inherits(P25519, MPrime);
+
+  P25519.prototype.imulK = function imulK (num) {
+    // K = 0x13
+    var carry = 0;
+    for (var i = 0; i < num.length; i++) {
+      var hi = (num.words[i] | 0) * 0x13 + carry;
+      var lo = hi & 0x3ffffff;
+      hi >>>= 26;
+
+      num.words[i] = lo;
+      carry = hi;
+    }
+    if (carry !== 0) {
+      num.words[num.length++] = carry;
+    }
+    return num;
+  };
+
+  // Exported mostly for testing purposes, use plain name instead
+  BN._prime = function prime (name) {
+    // Cached version of prime
+    if (primes[name]) return primes[name];
+
+    var prime;
+    if (name === 'k256') {
+      prime = new K256();
+    } else if (name === 'p224') {
+      prime = new P224();
+    } else if (name === 'p192') {
+      prime = new P192();
+    } else if (name === 'p25519') {
+      prime = new P25519();
+    } else {
+      throw new Error('Unknown prime ' + name);
+    }
+    primes[name] = prime;
+
+    return prime;
+  };
+
+  //
+  // Base reduction engine
+  //
+  function Red (m) {
+    if (typeof m === 'string') {
+      var prime = BN._prime(m);
+      this.m = prime.p;
+      this.prime = prime;
+    } else {
+      assert(m.gtn(1), 'modulus must be greater than 1');
+      this.m = m;
+      this.prime = null;
+    }
+  }
+
+  Red.prototype._verify1 = function _verify1 (a) {
+    assert(a.negative === 0, 'red works only with positives');
+    assert(a.red, 'red works only with red numbers');
+  };
+
+  Red.prototype._verify2 = function _verify2 (a, b) {
+    assert((a.negative | b.negative) === 0, 'red works only with positives');
+    assert(a.red && a.red === b.red,
+      'red works only with red numbers');
+  };
+
+  Red.prototype.imod = function imod (a) {
+    if (this.prime) return this.prime.ireduce(a)._forceRed(this);
+    return a.umod(this.m)._forceRed(this);
+  };
+
+  Red.prototype.neg = function neg (a) {
+    if (a.isZero()) {
+      return a.clone();
+    }
+
+    return this.m.sub(a)._forceRed(this);
+  };
+
+  Red.prototype.add = function add (a, b) {
+    this._verify2(a, b);
+
+    var res = a.add(b);
+    if (res.cmp(this.m) >= 0) {
+      res.isub(this.m);
+    }
+    return res._forceRed(this);
+  };
+
+  Red.prototype.iadd = function iadd (a, b) {
+    this._verify2(a, b);
+
+    var res = a.iadd(b);
+    if (res.cmp(this.m) >= 0) {
+      res.isub(this.m);
+    }
+    return res;
+  };
+
+  Red.prototype.sub = function sub (a, b) {
+    this._verify2(a, b);
+
+    var res = a.sub(b);
+    if (res.cmpn(0) < 0) {
+      res.iadd(this.m);
+    }
+    return res._forceRed(this);
+  };
+
+  Red.prototype.isub = function isub (a, b) {
+    this._verify2(a, b);
+
+    var res = a.isub(b);
+    if (res.cmpn(0) < 0) {
+      res.iadd(this.m);
+    }
+    return res;
+  };
+
+  Red.prototype.shl = function shl (a, num) {
+    this._verify1(a);
+    return this.imod(a.ushln(num));
+  };
+
+  Red.prototype.imul = function imul (a, b) {
+    this._verify2(a, b);
+    return this.imod(a.imul(b));
+  };
+
+  Red.prototype.mul = function mul (a, b) {
+    this._verify2(a, b);
+    return this.imod(a.mul(b));
+  };
+
+  Red.prototype.isqr = function isqr (a) {
+    return this.imul(a, a.clone());
+  };
+
+  Red.prototype.sqr = function sqr (a) {
+    return this.mul(a, a);
+  };
+
+  Red.prototype.sqrt = function sqrt (a) {
+    if (a.isZero()) return a.clone();
+
+    var mod3 = this.m.andln(3);
+    assert(mod3 % 2 === 1);
+
+    // Fast case
+    if (mod3 === 3) {
+      var pow = this.m.add(new BN(1)).iushrn(2);
+      return this.pow(a, pow);
+    }
+
+    // Tonelli-Shanks algorithm (Totally unoptimized and slow)
+    //
+    // Find Q and S, that Q * 2 ^ S = (P - 1)
+    var q = this.m.subn(1);
+    var s = 0;
+    while (!q.isZero() && q.andln(1) === 0) {
+      s++;
+      q.iushrn(1);
+    }
+    assert(!q.isZero());
+
+    var one = new BN(1).toRed(this);
+    var nOne = one.redNeg();
+
+    // Find quadratic non-residue
+    // NOTE: Max is such because of generalized Riemann hypothesis.
+    var lpow = this.m.subn(1).iushrn(1);
+    var z = this.m.bitLength();
+    z = new BN(2 * z * z).toRed(this);
+
+    while (this.pow(z, lpow).cmp(nOne) !== 0) {
+      z.redIAdd(nOne);
+    }
+
+    var c = this.pow(z, q);
+    var r = this.pow(a, q.addn(1).iushrn(1));
+    var t = this.pow(a, q);
+    var m = s;
+    while (t.cmp(one) !== 0) {
+      var tmp = t;
+      for (var i = 0; tmp.cmp(one) !== 0; i++) {
+        tmp = tmp.redSqr();
+      }
+      assert(i < m);
+      var b = this.pow(c, new BN(1).iushln(m - i - 1));
+
+      r = r.redMul(b);
+      c = b.redSqr();
+      t = t.redMul(c);
+      m = i;
+    }
+
+    return r;
+  };
+
+  Red.prototype.invm = function invm (a) {
+    var inv = a._invmp(this.m);
+    if (inv.negative !== 0) {
+      inv.negative = 0;
+      return this.imod(inv).redNeg();
+    } else {
+      return this.imod(inv);
+    }
+  };
+
+  Red.prototype.pow = function pow (a, num) {
+    if (num.isZero()) return new BN(1).toRed(this);
+    if (num.cmpn(1) === 0) return a.clone();
+
+    var windowSize = 4;
+    var wnd = new Array(1 << windowSize);
+    wnd[0] = new BN(1).toRed(this);
+    wnd[1] = a;
+    for (var i = 2; i < wnd.length; i++) {
+      wnd[i] = this.mul(wnd[i - 1], a);
+    }
+
+    var res = wnd[0];
+    var current = 0;
+    var currentLen = 0;
+    var start = num.bitLength() % 26;
+    if (start === 0) {
+      start = 26;
+    }
+
+    for (i = num.length - 1; i >= 0; i--) {
+      var word = num.words[i];
+      for (var j = start - 1; j >= 0; j--) {
+        var bit = (word >> j) & 1;
+        if (res !== wnd[0]) {
+          res = this.sqr(res);
+        }
+
+        if (bit === 0 && current === 0) {
+          currentLen = 0;
+          continue;
+        }
+
+        current <<= 1;
+        current |= bit;
+        currentLen++;
+        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;
+
+        res = this.mul(res, wnd[current]);
+        currentLen = 0;
+        current = 0;
+      }
+      start = 26;
+    }
+
+    return res;
+  };
+
+  Red.prototype.convertTo = function convertTo (num) {
+    var r = num.umod(this.m);
+
+    return r === num ? r.clone() : r;
+  };
+
+  Red.prototype.convertFrom = function convertFrom (num) {
+    var res = num.clone();
+    res.red = null;
+    return res;
+  };
+
+  //
+  // Montgomery method engine
+  //
+
+  BN.mont = function mont (num) {
+    return new Mont(num);
+  };
+
+  function Mont (m) {
+    Red.call(this, m);
+
+    this.shift = this.m.bitLength();
+    if (this.shift % 26 !== 0) {
+      this.shift += 26 - (this.shift % 26);
+    }
+
+    this.r = new BN(1).iushln(this.shift);
+    this.r2 = this.imod(this.r.sqr());
+    this.rinv = this.r._invmp(this.m);
+
+    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);
+    this.minv = this.minv.umod(this.r);
+    this.minv = this.r.sub(this.minv);
+  }
+  inherits(Mont, Red);
+
+  Mont.prototype.convertTo = function convertTo (num) {
+    return this.imod(num.ushln(this.shift));
+  };
+
+  Mont.prototype.convertFrom = function convertFrom (num) {
+    var r = this.imod(num.mul(this.rinv));
+    r.red = null;
+    return r;
+  };
+
+  Mont.prototype.imul = function imul (a, b) {
+    if (a.isZero() || b.isZero()) {
+      a.words[0] = 0;
+      a.length = 1;
+      return a;
+    }
+
+    var t = a.imul(b);
+    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);
+    var u = t.isub(c).iushrn(this.shift);
+    var res = u;
+
+    if (u.cmp(this.m) >= 0) {
+      res = u.isub(this.m);
+    } else if (u.cmpn(0) < 0) {
+      res = u.iadd(this.m);
+    }
+
+    return res._forceRed(this);
+  };
+
+  Mont.prototype.mul = function mul (a, b) {
+    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);
+
+    var t = a.mul(b);
+    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);
+    var u = t.isub(c).iushrn(this.shift);
+    var res = u;
+    if (u.cmp(this.m) >= 0) {
+      res = u.isub(this.m);
+    } else if (u.cmpn(0) < 0) {
+      res = u.iadd(this.m);
+    }
+
+    return res._forceRed(this);
+  };
+
+  Mont.prototype.invm = function invm (a) {
+    // (AR)^-1 * R^2 = (A^-1 * R^-1) * R^2 = A^-1 * R
+    var res = this.imod(a._invmp(this.m).mul(this.r2));
+    return res._forceRed(this);
+  };
+})(typeof module === 'undefined' || module, this);
+
+},{"buffer":159}],140:[function(require,module,exports) {
+var r;
+
+module.exports = function rand(len) {
+  if (!r)
+    r = new Rand(null);
+
+  return r.generate(len);
+};
+
+function Rand(rand) {
+  this.rand = rand;
+}
+module.exports.Rand = Rand;
+
+Rand.prototype.generate = function generate(len) {
+  return this._rand(len);
+};
+
+// Emulate crypto API using randy
+Rand.prototype._rand = function _rand(n) {
+  if (this.rand.getBytes)
+    return this.rand.getBytes(n);
+
+  var res = new Uint8Array(n);
+  for (var i = 0; i < res.length; i++)
+    res[i] = this.rand.getByte();
+  return res;
+};
+
+if (typeof self === 'object') {
+  if (self.crypto && self.crypto.getRandomValues) {
+    // Modern browsers
+    Rand.prototype._rand = function _rand(n) {
+      var arr = new Uint8Array(n);
+      self.crypto.getRandomValues(arr);
+      return arr;
+    };
+  } else if (self.msCrypto && self.msCrypto.getRandomValues) {
+    // IE
+    Rand.prototype._rand = function _rand(n) {
+      var arr = new Uint8Array(n);
+      self.msCrypto.getRandomValues(arr);
+      return arr;
+    };
+
+  // Safari's WebWorkers do not have `crypto`
+  } else if (typeof window === 'object') {
+    // Old junk
+    Rand.prototype._rand = function() {
+      throw new Error('Not implemented yet');
+    };
+  }
+} else {
+  // Node.js or Web worker with no crypto support
+  try {
+    var crypto = require('crypto');
+    if (typeof crypto.randomBytes !== 'function')
+      throw new Error('Not supported');
+
+    Rand.prototype._rand = function _rand(n) {
+      return crypto.randomBytes(n);
+    };
+  } catch (e) {
+  }
+}
+
+},{"crypto":159}],132:[function(require,module,exports) {
+var bn = require('bn.js');
+var brorand = require('brorand');
+
+function MillerRabin(rand) {
+  this.rand = rand || new brorand.Rand();
+}
+module.exports = MillerRabin;
+
+MillerRabin.create = function create(rand) {
+  return new MillerRabin(rand);
+};
+
+MillerRabin.prototype._randbelow = function _randbelow(n) {
+  var len = n.bitLength();
+  var min_bytes = Math.ceil(len / 8);
+
+  // Generage random bytes until a number less than n is found.
+  // This ensures that 0..n-1 have an equal probability of being selected.
+  do
+    var a = new bn(this.rand.generate(min_bytes));
+  while (a.cmp(n) >= 0);
+
+  return a;
+};
+
+MillerRabin.prototype._randrange = function _randrange(start, stop) {
+  // Generate a random number greater than or equal to start and less than stop.
+  var size = stop.sub(start);
+  return start.add(this._randbelow(size));
+};
+
+MillerRabin.prototype.test = function test(n, k, cb) {
+  var len = n.bitLength();
+  var red = bn.mont(n);
+  var rone = new bn(1).toRed(red);
+
+  if (!k)
+    k = Math.max(1, (len / 48) | 0);
+
+  // Find d and s, (n - 1) = (2 ^ s) * d;
+  var n1 = n.subn(1);
+  for (var s = 0; !n1.testn(s); s++) {}
+  var d = n.shrn(s);
+
+  var rn1 = n1.toRed(red);
+
+  var prime = true;
+  for (; k > 0; k--) {
+    var a = this._randrange(new bn(2), n1);
+    if (cb)
+      cb(a);
+
+    var x = a.toRed(red).redPow(d);
+    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)
+      continue;
+
+    for (var i = 1; i < s; i++) {
+      x = x.redSqr();
+
+      if (x.cmp(rone) === 0)
+        return false;
+      if (x.cmp(rn1) === 0)
+        break;
+    }
+
+    if (i === s)
+      return false;
+  }
+
+  return prime;
+};
+
+MillerRabin.prototype.getDivisor = function getDivisor(n, k) {
+  var len = n.bitLength();
+  var red = bn.mont(n);
+  var rone = new bn(1).toRed(red);
+
+  if (!k)
+    k = Math.max(1, (len / 48) | 0);
+
+  // Find d and s, (n - 1) = (2 ^ s) * d;
+  var n1 = n.subn(1);
+  for (var s = 0; !n1.testn(s); s++) {}
+  var d = n.shrn(s);
+
+  var rn1 = n1.toRed(red);
+
+  for (; k > 0; k--) {
+    var a = this._randrange(new bn(2), n1);
+
+    var g = n.gcd(a);
+    if (g.cmpn(1) !== 0)
+      return g;
+
+    var x = a.toRed(red).redPow(d);
+    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)
+      continue;
+
+    for (var i = 1; i < s; i++) {
+      x = x.redSqr();
+
+      if (x.cmp(rone) === 0)
+        return x.fromRed().subn(1).gcd(n);
+      if (x.cmp(rn1) === 0)
+        break;
+    }
+
+    if (i === s) {
+      x = x.redSqr();
+      return x.fromRed().subn(1).gcd(n);
+    }
+  }
+
+  return false;
+};
+
+},{"bn.js":109,"brorand":140}],92:[function(require,module,exports) {
+var randomBytes = require('randombytes');
+module.exports = findPrime;
+findPrime.simpleSieve = simpleSieve;
+findPrime.fermatTest = fermatTest;
+var BN = require('bn.js');
+var TWENTYFOUR = new BN(24);
+var MillerRabin = require('miller-rabin');
+var millerRabin = new MillerRabin();
+var ONE = new BN(1);
+var TWO = new BN(2);
+var FIVE = new BN(5);
+var SIXTEEN = new BN(16);
+var EIGHT = new BN(8);
+var TEN = new BN(10);
+var THREE = new BN(3);
+var SEVEN = new BN(7);
+var ELEVEN = new BN(11);
+var FOUR = new BN(4);
+var TWELVE = new BN(12);
+var primes = null;
+
+function _getPrimes() {
+  if (primes !== null)
+    return primes;
+
+  var limit = 0x100000;
+  var res = [];
+  res[0] = 2;
+  for (var i = 1, k = 3; k < limit; k += 2) {
+    var sqrt = Math.ceil(Math.sqrt(k));
+    for (var j = 0; j < i && res[j] <= sqrt; j++)
+      if (k % res[j] === 0)
+        break;
+
+    if (i !== j && res[j] <= sqrt)
+      continue;
+
+    res[i++] = k;
+  }
+  primes = res;
+  return res;
+}
+
+function simpleSieve(p) {
+  var primes = _getPrimes();
+
+  for (var i = 0; i < primes.length; i++)
+    if (p.modn(primes[i]) === 0) {
+      if (p.cmpn(primes[i]) === 0) {
+        return true;
+      } else {
+        return false;
+      }
+    }
+
+  return true;
+}
+
+function fermatTest(p) {
+  var red = BN.mont(p);
+  return TWO.toRed(red).redPow(p.subn(1)).fromRed().cmpn(1) === 0;
+}
+
+function findPrime(bits, gen) {
+  if (bits < 16) {
+    // this is what openssl does
+    if (gen === 2 || gen === 5) {
+      return new BN([0x8c, 0x7b]);
+    } else {
+      return new BN([0x8c, 0x27]);
+    }
+  }
+  gen = new BN(gen);
+
+  var num, n2;
+
+  while (true) {
+    num = new BN(randomBytes(Math.ceil(bits / 8)));
+    while (num.bitLength() > bits) {
+      num.ishrn(1);
+    }
+    if (num.isEven()) {
+      num.iadd(ONE);
+    }
+    if (!num.testn(1)) {
+      num.iadd(TWO);
+    }
+    if (!gen.cmp(TWO)) {
+      while (num.mod(TWENTYFOUR).cmp(ELEVEN)) {
+        num.iadd(FOUR);
+      }
+    } else if (!gen.cmp(FIVE)) {
+      while (num.mod(TEN).cmp(THREE)) {
+        num.iadd(FOUR);
+      }
+    }
+    n2 = num.shrn(1);
+    if (simpleSieve(n2) && simpleSieve(num) &&
+      fermatTest(n2) && fermatTest(num) &&
+      millerRabin.test(n2) && millerRabin.test(num)) {
+      return num;
+    }
+  }
+
+}
+
+},{"randombytes":74,"bn.js":109,"miller-rabin":132}],91:[function(require,module,exports) {
+module.exports = {
+    "modp1": {
+        "gen": "02",
+        "prime": "ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a63a3620ffffffffffffffff"
+    },
+    "modp2": {
+        "gen": "02",
+        "prime": "ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece65381ffffffffffffffff"
+    },
+    "modp5": {
+        "gen": "02",
+        "prime": "ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece45b3dc2007cb8a163bf0598da48361c55d39a69163fa8fd24cf5f83655d23dca3ad961c62f356208552bb9ed529077096966d670c354e4abc9804f1746c08ca237327ffffffffffffffff"
+    },
+    "modp14": {
+        "gen": "02",
+        "prime": "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"
+    },
+    "modp15": {
+        "gen": "02",
+        "prime": "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"
+    },
+    "modp16": {
+        "gen": "02",
+        "prime": "ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece45b3dc2007cb8a163bf0598da48361c55d39a69163fa8fd24cf5f83655d23dca3ad961c62f356208552bb9ed529077096966d670c354e4abc9804f1746c08ca18217c32905e462e36ce3be39e772c180e86039b2783a2ec07a28fb5c55df06f4c52c9de2bcbf6955817183995497cea956ae515d2261898fa051015728e5a8aaac42dad33170d04507a33a85521abdf1cba64ecfb850458dbef0a8aea71575d060c7db3970f85a6e1e4c7abf5ae8cdb0933d71e8c94e04a25619dcee3d2261ad2ee6bf12ffa06d98a0864d87602733ec86a64521f2b18177b200cbbe117577a615d6c770988c0bad946e208e24fa074e5ab3143db5bfce0fd108e4b82d120a92108011a723c12a787e6d788719a10bdba5b2699c327186af4e23c1a946834b6150bda2583e9ca2ad44ce8dbbbc2db04de8ef92e8efc141fbecaa6287c59474e6bc05d99b2964fa090c3a2233ba186515be7ed1f612970cee2d7afb81bdd762170481cd0069127d5b05aa993b4ea988d8fddc186ffb7dc90a6c08f4df435c934063199ffffffffffffffff"
+    },
+    "modp17": {
+        "gen": "02",
+        "prime": "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"
+    },
+    "modp18": {
+        "gen": "02",
+        "prime": "ffffffffffffffffc90fdaa22168c234c4c6628b80dc1cd129024e088a67cc74020bbea63b139b22514a08798e3404ddef9519b3cd3a431b302b0a6df25f14374fe1356d6d51c245e485b576625e7ec6f44c42e9a637ed6b0bff5cb6f406b7edee386bfb5a899fa5ae9f24117c4b1fe649286651ece45b3dc2007cb8a163bf0598da48361c55d39a69163fa8fd24cf5f83655d23dca3ad961c62f356208552bb9ed529077096966d670c354e4abc9804f1746c08ca18217c32905e462e36ce3be39e772c180e86039b2783a2ec07a28fb5c55df06f4c52c9de2bcbf6955817183995497cea956ae515d2261898fa051015728e5a8aaac42dad33170d04507a33a85521abdf1cba64ecfb850458dbef0a8aea71575d060c7db3970f85a6e1e4c7abf5ae8cdb0933d71e8c94e04a25619dcee3d2261ad2ee6bf12ffa06d98a0864d87602733ec86a64521f2b18177b200cbbe117577a615d6c770988c0bad946e208e24fa074e5ab3143db5bfce0fd108e4b82d120a92108011a723c12a787e6d788719a10bdba5b2699c327186af4e23c1a946834b6150bda2583e9ca2ad44ce8dbbbc2db04de8ef92e8efc141fbecaa6287c59474e6bc05d99b2964fa090c3a2233ba186515be7ed1f612970cee2d7afb81bdd762170481cd0069127d5b05aa993b4ea988d8fddc186ffb7dc90a6c08f4df435c93402849236c3fab4d27c7026c1d4dcb2602646dec9751e763dba37bdf8ff9406ad9e530ee5db382f413001aeb06a53ed9027d831179727b0865a8918da3edbebcf9b14ed44ce6cbaced4bb1bdb7f1447e6cc254b332051512bd7af426fb8f401378cd2bf5983ca01c64b92ecf032ea15d1721d03f482d7ce6e74fef6d55e702f46980c82b5a84031900b1c9e59e7c97fbec7e8f323a97a7e36cc88be0f1d45b7ff585ac54bd407b22b4154aacc8f6d7ebf48e1d814cc5ed20f8037e0a79715eef29be32806a1d58bb7c5da76f550aa3d8a1fbff0eb19ccb1a313d55cda56c9ec2ef29632387fe8d76e3c0468043e8f663f4860ee12bf2d5b0b7474d6e694f91e6dbe115974a3926f12fee5e438777cb6a932df8cd8bec4d073b931ba3bc832b68d9dd300741fa7bf8afc47ed2576f6936ba424663aab639c5ae4f5683423b4742bf1c978238f16cbe39d652de3fdb8befc848ad922222e04a4037c0713eb57a81a23f0c73473fc646cea306b4bcbc8862f8385ddfa9d4b7fa2c087e879683303ed5bdd3a062b3cf5b3a278a66d2a13f83f44f82ddf310ee074ab6a364597e899a0255dc164f31cc50846851df9ab48195ded7ea1b1d510bd7ee74d73faf36bc31ecfa268359046f4eb879f924009438b481c6cd7889a002ed5ee382bc9190da6fc026e479558e4475677e9aa9e3050e2765694dfc81f56e880b96e7160c980dd98edd3dfffffffffffffffff"
+    }
+};
+},{}],93:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var BN = require('bn.js');
+var MillerRabin = require('miller-rabin');
+var millerRabin = new MillerRabin();
+var TWENTYFOUR = new BN(24);
+var ELEVEN = new BN(11);
+var TEN = new BN(10);
+var THREE = new BN(3);
+var SEVEN = new BN(7);
+var primes = require('./generatePrime');
+var randomBytes = require('randombytes');
+module.exports = DH;
+
+function setPublicKey(pub, enc) {
+  enc = enc || 'utf8';
+  if (!Buffer.isBuffer(pub)) {
+    pub = new Buffer(pub, enc);
+  }
+  this._pub = new BN(pub);
+  return this;
+}
+
+function setPrivateKey(priv, enc) {
+  enc = enc || 'utf8';
+  if (!Buffer.isBuffer(priv)) {
+    priv = new Buffer(priv, enc);
+  }
+  this._priv = new BN(priv);
+  return this;
+}
+
+var primeCache = {};
+function checkPrime(prime, generator) {
+  var gen = generator.toString('hex');
+  var hex = [gen, prime.toString(16)].join('_');
+  if (hex in primeCache) {
+    return primeCache[hex];
+  }
+  var error = 0;
+
+  if (prime.isEven() ||
+    !primes.simpleSieve ||
+    !primes.fermatTest(prime) ||
+    !millerRabin.test(prime)) {
+    //not a prime so +1
+    error += 1;
+
+    if (gen === '02' || gen === '05') {
+      // we'd be able to check the generator
+      // it would fail so +8
+      error += 8;
+    } else {
+      //we wouldn't be able to test the generator
+      // so +4
+      error += 4;
+    }
+    primeCache[hex] = error;
+    return error;
+  }
+  if (!millerRabin.test(prime.shrn(1))) {
+    //not a safe prime
+    error += 2;
+  }
+  var rem;
+  switch (gen) {
+    case '02':
+      if (prime.mod(TWENTYFOUR).cmp(ELEVEN)) {
+        // unsuidable generator
+        error += 8;
+      }
+      break;
+    case '05':
+      rem = prime.mod(TEN);
+      if (rem.cmp(THREE) && rem.cmp(SEVEN)) {
+        // prime mod 10 needs to equal 3 or 7
+        error += 8;
+      }
+      break;
+    default:
+      error += 4;
+  }
+  primeCache[hex] = error;
+  return error;
+}
+
+function DH(prime, generator, malleable) {
+  this.setGenerator(generator);
+  this.__prime = new BN(prime);
+  this._prime = BN.mont(this.__prime);
+  this._primeLen = prime.length;
+  this._pub = undefined;
+  this._priv = undefined;
+  this._primeCode = undefined;
+  if (malleable) {
+    this.setPublicKey = setPublicKey;
+    this.setPrivateKey = setPrivateKey;
+  } else {
+    this._primeCode = 8;
+  }
+}
+Object.defineProperty(DH.prototype, 'verifyError', {
+  enumerable: true,
+  get: function () {
+    if (typeof this._primeCode !== 'number') {
+      this._primeCode = checkPrime(this.__prime, this.__gen);
+    }
+    return this._primeCode;
+  }
+});
+DH.prototype.generateKeys = function () {
+  if (!this._priv) {
+    this._priv = new BN(randomBytes(this._primeLen));
+  }
+  this._pub = this._gen.toRed(this._prime).redPow(this._priv).fromRed();
+  return this.getPublicKey();
+};
+
+DH.prototype.computeSecret = function (other) {
+  other = new BN(other);
+  other = other.toRed(this._prime);
+  var secret = other.redPow(this._priv).fromRed();
+  var out = new Buffer(secret.toArray());
+  var prime = this.getPrime();
+  if (out.length < prime.length) {
+    var front = new Buffer(prime.length - out.length);
+    front.fill(0);
+    out = Buffer.concat([front, out]);
+  }
+  return out;
+};
+
+DH.prototype.getPublicKey = function getPublicKey(enc) {
+  return formatReturnValue(this._pub, enc);
+};
+
+DH.prototype.getPrivateKey = function getPrivateKey(enc) {
+  return formatReturnValue(this._priv, enc);
+};
+
+DH.prototype.getPrime = function (enc) {
+  return formatReturnValue(this.__prime, enc);
+};
+
+DH.prototype.getGenerator = function (enc) {
+  return formatReturnValue(this._gen, enc);
+};
+
+DH.prototype.setGenerator = function (gen, enc) {
+  enc = enc || 'utf8';
+  if (!Buffer.isBuffer(gen)) {
+    gen = new Buffer(gen, enc);
+  }
+  this.__gen = gen;
+  this._gen = new BN(gen);
+  return this;
+};
+
+function formatReturnValue(bn, enc) {
+  var buf = new Buffer(bn.toArray());
+  if (!enc) {
+    return buf;
+  } else {
+    return buf.toString(enc);
+  }
+}
+
+},{"bn.js":109,"miller-rabin":132,"./generatePrime":92,"randombytes":74,"buffer":62}],79:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var generatePrime = require('./lib/generatePrime')
+var primes = require('./lib/primes.json')
+
+var DH = require('./lib/dh')
+
+function getDiffieHellman (mod) {
+  var prime = new Buffer(primes[mod].prime, 'hex')
+  var gen = new Buffer(primes[mod].gen, 'hex')
+
+  return new DH(prime, gen)
+}
+
+var ENCODINGS = {
+  'binary': true, 'hex': true, 'base64': true
+}
+
+function createDiffieHellman (prime, enc, generator, genc) {
+  if (Buffer.isBuffer(enc) || ENCODINGS[enc] === undefined) {
+    return createDiffieHellman(prime, 'binary', enc, generator)
+  }
+
+  enc = enc || 'binary'
+  genc = genc || 'binary'
+  generator = generator || new Buffer([2])
+
+  if (!Buffer.isBuffer(generator)) {
+    generator = new Buffer(generator, genc)
+  }
+
+  if (typeof prime === 'number') {
+    return new DH(generatePrime(prime, generator), generator, true)
+  }
+
+  if (!Buffer.isBuffer(prime)) {
+    prime = new Buffer(prime, enc)
+  }
+
+  return new DH(prime, generator, true)
+}
+
+exports.DiffieHellmanGroup = exports.createDiffieHellmanGroup = exports.getDiffieHellman = getDiffieHellman
+exports.createDiffieHellman = exports.DiffieHellman = createDiffieHellman
+
+},{"./lib/generatePrime":92,"./lib/primes.json":91,"./lib/dh":93,"buffer":62}],123:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var bn = require('bn.js');
+var randomBytes = require('randombytes');
+module.exports = crt;
+function blind(priv) {
+  var r = getr(priv);
+  var blinder = r.toRed(bn.mont(priv.modulus))
+  .redPow(new bn(priv.publicExponent)).fromRed();
+  return {
+    blinder: blinder,
+    unblinder:r.invm(priv.modulus)
+  };
+}
+function crt(msg, priv) {
+  var blinds = blind(priv);
+  var len = priv.modulus.byteLength();
+  var mod = bn.mont(priv.modulus);
+  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);
+  var c1 = blinded.toRed(bn.mont(priv.prime1));
+  var c2 = blinded.toRed(bn.mont(priv.prime2));
+  var qinv = priv.coefficient;
+  var p = priv.prime1;
+  var q = priv.prime2;
+  var m1 = c1.redPow(priv.exponent1);
+  var m2 = c2.redPow(priv.exponent2);
+  m1 = m1.fromRed();
+  m2 = m2.fromRed();
+  var h = m1.isub(m2).imul(qinv).umod(p);
+  h.imul(q);
+  m2.iadd(h);
+  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));
+}
+crt.getr = getr;
+function getr(priv) {
+  var len = priv.modulus.byteLength();
+  var r = new bn(randomBytes(len));
+  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {
+    r = new bn(randomBytes(len));
+  }
+  return r;
+}
+
+},{"bn.js":109,"randombytes":74,"buffer":62}],124:[function(require,module,exports) {
+module.exports = {
+  "_args": [
+    [
+      "elliptic@6.4.0",
+      "/home/supersteve/git/DeepReinforcementLearning/tictac"
+    ]
+  ],
+  "_development": true,
+  "_from": "elliptic@6.4.0",
+  "_id": "elliptic@6.4.0",
+  "_inBundle": false,
+  "_integrity": "sha1-ysmvh2LIWDYYcAPI3+GT5eLq5d8=",
+  "_location": "/elliptic",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "elliptic@6.4.0",
+    "name": "elliptic",
+    "escapedName": "elliptic",
+    "rawSpec": "6.4.0",
+    "saveSpec": null,
+    "fetchSpec": "6.4.0"
+  },
+  "_requiredBy": [
+    "/browserify-sign",
+    "/create-ecdh"
+  ],
+  "_resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.4.0.tgz",
+  "_spec": "6.4.0",
+  "_where": "/home/supersteve/git/DeepReinforcementLearning/tictac",
+  "author": {
+    "name": "Fedor Indutny",
+    "email": "fedor@indutny.com"
+  },
+  "bugs": {
+    "url": "https://github.com/indutny/elliptic/issues"
+  },
+  "dependencies": {
+    "bn.js": "^4.4.0",
+    "brorand": "^1.0.1",
+    "hash.js": "^1.0.0",
+    "hmac-drbg": "^1.0.0",
+    "inherits": "^2.0.1",
+    "minimalistic-assert": "^1.0.0",
+    "minimalistic-crypto-utils": "^1.0.0"
+  },
+  "description": "EC cryptography",
+  "devDependencies": {
+    "brfs": "^1.4.3",
+    "coveralls": "^2.11.3",
+    "grunt": "^0.4.5",
+    "grunt-browserify": "^5.0.0",
+    "grunt-cli": "^1.2.0",
+    "grunt-contrib-connect": "^1.0.0",
+    "grunt-contrib-copy": "^1.0.0",
+    "grunt-contrib-uglify": "^1.0.1",
+    "grunt-mocha-istanbul": "^3.0.1",
+    "grunt-saucelabs": "^8.6.2",
+    "istanbul": "^0.4.2",
+    "jscs": "^2.9.0",
+    "jshint": "^2.6.0",
+    "mocha": "^2.1.0"
+  },
+  "files": [
+    "lib"
+  ],
+  "homepage": "https://github.com/indutny/elliptic",
+  "keywords": [
+    "EC",
+    "Elliptic",
+    "curve",
+    "Cryptography"
+  ],
+  "license": "MIT",
+  "main": "lib/elliptic.js",
+  "name": "elliptic",
+  "repository": {
+    "type": "git",
+    "url": "git+ssh://git@github.com/indutny/elliptic.git"
+  },
+  "scripts": {
+    "jscs": "jscs benchmarks/*.js lib/*.js lib/**/*.js lib/**/**/*.js test/index.js",
+    "jshint": "jscs benchmarks/*.js lib/*.js lib/**/*.js lib/**/**/*.js test/index.js",
+    "lint": "npm run jscs && npm run jshint",
+    "test": "npm run lint && npm run unit",
+    "unit": "istanbul test _mocha --reporter=spec test/index.js",
+    "version": "grunt dist && git add dist/"
+  },
+  "version": "6.4.0"
+}
+;
+},{}],164:[function(require,module,exports) {
+'use strict';
+
+var utils = exports;
+
+function toArray(msg, enc) {
+  if (Array.isArray(msg))
+    return msg.slice();
+  if (!msg)
+    return [];
+  var res = [];
+  if (typeof msg !== 'string') {
+    for (var i = 0; i < msg.length; i++)
+      res[i] = msg[i] | 0;
+    return res;
+  }
+  if (enc === 'hex') {
+    msg = msg.replace(/[^a-z0-9]+/ig, '');
+    if (msg.length % 2 !== 0)
+      msg = '0' + msg;
+    for (var i = 0; i < msg.length; i += 2)
+      res.push(parseInt(msg[i] + msg[i + 1], 16));
+  } else {
+    for (var i = 0; i < msg.length; i++) {
+      var c = msg.charCodeAt(i);
+      var hi = c >> 8;
+      var lo = c & 0xff;
+      if (hi)
+        res.push(hi, lo);
+      else
+        res.push(lo);
+    }
+  }
+  return res;
+}
+utils.toArray = toArray;
+
+function zero2(word) {
+  if (word.length === 1)
+    return '0' + word;
+  else
+    return word;
+}
+utils.zero2 = zero2;
+
+function toHex(msg) {
+  var res = '';
+  for (var i = 0; i < msg.length; i++)
+    res += zero2(msg[i].toString(16));
+  return res;
+}
+utils.toHex = toHex;
+
+utils.encode = function encode(arr, enc) {
+  if (enc === 'hex')
+    return toHex(arr);
+  else
+    return arr;
+};
+
+},{}],126:[function(require,module,exports) {
+'use strict';
+
+var utils = exports;
+var BN = require('bn.js');
+var minAssert = require('minimalistic-assert');
+var minUtils = require('minimalistic-crypto-utils');
+
+utils.assert = minAssert;
+utils.toArray = minUtils.toArray;
+utils.zero2 = minUtils.zero2;
+utils.toHex = minUtils.toHex;
+utils.encode = minUtils.encode;
+
+// Represent num in a w-NAF form
+function getNAF(num, w) {
+  var naf = [];
+  var ws = 1 << (w + 1);
+  var k = num.clone();
+  while (k.cmpn(1) >= 0) {
+    var z;
+    if (k.isOdd()) {
+      var mod = k.andln(ws - 1);
+      if (mod > (ws >> 1) - 1)
+        z = (ws >> 1) - mod;
+      else
+        z = mod;
+      k.isubn(z);
+    } else {
+      z = 0;
+    }
+    naf.push(z);
+
+    // Optimization, shift by word if possible
+    var shift = (k.cmpn(0) !== 0 && k.andln(ws - 1) === 0) ? (w + 1) : 1;
+    for (var i = 1; i < shift; i++)
+      naf.push(0);
+    k.iushrn(shift);
+  }
+
+  return naf;
+}
+utils.getNAF = getNAF;
+
+// Represent k1, k2 in a Joint Sparse Form
+function getJSF(k1, k2) {
+  var jsf = [
+    [],
+    []
+  ];
+
+  k1 = k1.clone();
+  k2 = k2.clone();
+  var d1 = 0;
+  var d2 = 0;
+  while (k1.cmpn(-d1) > 0 || k2.cmpn(-d2) > 0) {
+
+    // First phase
+    var m14 = (k1.andln(3) + d1) & 3;
+    var m24 = (k2.andln(3) + d2) & 3;
+    if (m14 === 3)
+      m14 = -1;
+    if (m24 === 3)
+      m24 = -1;
+    var u1;
+    if ((m14 & 1) === 0) {
+      u1 = 0;
+    } else {
+      var m8 = (k1.andln(7) + d1) & 7;
+      if ((m8 === 3 || m8 === 5) && m24 === 2)
+        u1 = -m14;
+      else
+        u1 = m14;
+    }
+    jsf[0].push(u1);
+
+    var u2;
+    if ((m24 & 1) === 0) {
+      u2 = 0;
+    } else {
+      var m8 = (k2.andln(7) + d2) & 7;
+      if ((m8 === 3 || m8 === 5) && m14 === 2)
+        u2 = -m24;
+      else
+        u2 = m24;
+    }
+    jsf[1].push(u2);
+
+    // Second phase
+    if (2 * d1 === u1 + 1)
+      d1 = 1 - d1;
+    if (2 * d2 === u2 + 1)
+      d2 = 1 - d2;
+    k1.iushrn(1);
+    k2.iushrn(1);
+  }
+
+  return jsf;
+}
+utils.getJSF = getJSF;
+
+function cachedProperty(obj, name, computer) {
+  var key = '_' + name;
+  obj.prototype[name] = function cachedProperty() {
+    return this[key] !== undefined ? this[key] :
+           this[key] = computer.call(this);
+  };
+}
+utils.cachedProperty = cachedProperty;
+
+function parseBytes(bytes) {
+  return typeof bytes === 'string' ? utils.toArray(bytes, 'hex') :
+                                     bytes;
+}
+utils.parseBytes = parseBytes;
+
+function intFromLE(bytes) {
+  return new BN(bytes, 'hex', 'le');
+}
+utils.intFromLE = intFromLE;
+
+
+},{"bn.js":109,"minimalistic-assert":163,"minimalistic-crypto-utils":164}],196:[function(require,module,exports) {
+'use strict';
+
+var BN = require('bn.js');
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var getNAF = utils.getNAF;
+var getJSF = utils.getJSF;
+var assert = utils.assert;
+
+function BaseCurve(type, conf) {
+  this.type = type;
+  this.p = new BN(conf.p, 16);
+
+  // Use Montgomery, when there is no fast reduction for the prime
+  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);
+
+  // Useful for many curves
+  this.zero = new BN(0).toRed(this.red);
+  this.one = new BN(1).toRed(this.red);
+  this.two = new BN(2).toRed(this.red);
+
+  // Curve configuration, optional
+  this.n = conf.n && new BN(conf.n, 16);
+  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);
+
+  // Temporary arrays
+  this._wnafT1 = new Array(4);
+  this._wnafT2 = new Array(4);
+  this._wnafT3 = new Array(4);
+  this._wnafT4 = new Array(4);
+
+  // Generalized Greg Maxwell's trick
+  var adjustCount = this.n && this.p.div(this.n);
+  if (!adjustCount || adjustCount.cmpn(100) > 0) {
+    this.redN = null;
+  } else {
+    this._maxwellTrick = true;
+    this.redN = this.n.toRed(this.red);
+  }
+}
+module.exports = BaseCurve;
+
+BaseCurve.prototype.point = function point() {
+  throw new Error('Not implemented');
+};
+
+BaseCurve.prototype.validate = function validate() {
+  throw new Error('Not implemented');
+};
+
+BaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {
+  assert(p.precomputed);
+  var doubles = p._getDoubles();
+
+  var naf = getNAF(k, 1);
+  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);
+  I /= 3;
+
+  // Translate into more windowed form
+  var repr = [];
+  for (var j = 0; j < naf.length; j += doubles.step) {
+    var nafW = 0;
+    for (var k = j + doubles.step - 1; k >= j; k--)
+      nafW = (nafW << 1) + naf[k];
+    repr.push(nafW);
+  }
+
+  var a = this.jpoint(null, null, null);
+  var b = this.jpoint(null, null, null);
+  for (var i = I; i > 0; i--) {
+    for (var j = 0; j < repr.length; j++) {
+      var nafW = repr[j];
+      if (nafW === i)
+        b = b.mixedAdd(doubles.points[j]);
+      else if (nafW === -i)
+        b = b.mixedAdd(doubles.points[j].neg());
+    }
+    a = a.add(b);
+  }
+  return a.toP();
+};
+
+BaseCurve.prototype._wnafMul = function _wnafMul(p, k) {
+  var w = 4;
+
+  // Precompute window
+  var nafPoints = p._getNAFPoints(w);
+  w = nafPoints.wnd;
+  var wnd = nafPoints.points;
+
+  // Get NAF form
+  var naf = getNAF(k, w);
+
+  // Add `this`*(N+1) for every w-NAF index
+  var acc = this.jpoint(null, null, null);
+  for (var i = naf.length - 1; i >= 0; i--) {
+    // Count zeroes
+    for (var k = 0; i >= 0 && naf[i] === 0; i--)
+      k++;
+    if (i >= 0)
+      k++;
+    acc = acc.dblp(k);
+
+    if (i < 0)
+      break;
+    var z = naf[i];
+    assert(z !== 0);
+    if (p.type === 'affine') {
+      // J +- P
+      if (z > 0)
+        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);
+      else
+        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());
+    } else {
+      // J +- J
+      if (z > 0)
+        acc = acc.add(wnd[(z - 1) >> 1]);
+      else
+        acc = acc.add(wnd[(-z - 1) >> 1].neg());
+    }
+  }
+  return p.type === 'affine' ? acc.toP() : acc;
+};
+
+BaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,
+                                                       points,
+                                                       coeffs,
+                                                       len,
+                                                       jacobianResult) {
+  var wndWidth = this._wnafT1;
+  var wnd = this._wnafT2;
+  var naf = this._wnafT3;
+
+  // Fill all arrays
+  var max = 0;
+  for (var i = 0; i < len; i++) {
+    var p = points[i];
+    var nafPoints = p._getNAFPoints(defW);
+    wndWidth[i] = nafPoints.wnd;
+    wnd[i] = nafPoints.points;
+  }
+
+  // Comb small window NAFs
+  for (var i = len - 1; i >= 1; i -= 2) {
+    var a = i - 1;
+    var b = i;
+    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {
+      naf[a] = getNAF(coeffs[a], wndWidth[a]);
+      naf[b] = getNAF(coeffs[b], wndWidth[b]);
+      max = Math.max(naf[a].length, max);
+      max = Math.max(naf[b].length, max);
+      continue;
+    }
+
+    var comb = [
+      points[a], /* 1 */
+      null, /* 3 */
+      null, /* 5 */
+      points[b] /* 7 */
+    ];
+
+    // Try to avoid Projective points, if possible
+    if (points[a].y.cmp(points[b].y) === 0) {
+      comb[1] = points[a].add(points[b]);
+      comb[2] = points[a].toJ().mixedAdd(points[b].neg());
+    } else if (points[a].y.cmp(points[b].y.redNeg()) === 0) {
+      comb[1] = points[a].toJ().mixedAdd(points[b]);
+      comb[2] = points[a].add(points[b].neg());
+    } else {
+      comb[1] = points[a].toJ().mixedAdd(points[b]);
+      comb[2] = points[a].toJ().mixedAdd(points[b].neg());
+    }
+
+    var index = [
+      -3, /* -1 -1 */
+      -1, /* -1 0 */
+      -5, /* -1 1 */
+      -7, /* 0 -1 */
+      0, /* 0 0 */
+      7, /* 0 1 */
+      5, /* 1 -1 */
+      1, /* 1 0 */
+      3  /* 1 1 */
+    ];
+
+    var jsf = getJSF(coeffs[a], coeffs[b]);
+    max = Math.max(jsf[0].length, max);
+    naf[a] = new Array(max);
+    naf[b] = new Array(max);
+    for (var j = 0; j < max; j++) {
+      var ja = jsf[0][j] | 0;
+      var jb = jsf[1][j] | 0;
+
+      naf[a][j] = index[(ja + 1) * 3 + (jb + 1)];
+      naf[b][j] = 0;
+      wnd[a] = comb;
+    }
+  }
+
+  var acc = this.jpoint(null, null, null);
+  var tmp = this._wnafT4;
+  for (var i = max; i >= 0; i--) {
+    var k = 0;
+
+    while (i >= 0) {
+      var zero = true;
+      for (var j = 0; j < len; j++) {
+        tmp[j] = naf[j][i] | 0;
+        if (tmp[j] !== 0)
+          zero = false;
+      }
+      if (!zero)
+        break;
+      k++;
+      i--;
+    }
+    if (i >= 0)
+      k++;
+    acc = acc.dblp(k);
+    if (i < 0)
+      break;
+
+    for (var j = 0; j < len; j++) {
+      var z = tmp[j];
+      var p;
+      if (z === 0)
+        continue;
+      else if (z > 0)
+        p = wnd[j][(z - 1) >> 1];
+      else if (z < 0)
+        p = wnd[j][(-z - 1) >> 1].neg();
+
+      if (p.type === 'affine')
+        acc = acc.mixedAdd(p);
+      else
+        acc = acc.add(p);
+    }
+  }
+  // Zeroify references
+  for (var i = 0; i < len; i++)
+    wnd[i] = null;
+
+  if (jacobianResult)
+    return acc;
+  else
+    return acc.toP();
+};
+
+function BasePoint(curve, type) {
+  this.curve = curve;
+  this.type = type;
+  this.precomputed = null;
+}
+BaseCurve.BasePoint = BasePoint;
+
+BasePoint.prototype.eq = function eq(/*other*/) {
+  throw new Error('Not implemented');
+};
+
+BasePoint.prototype.validate = function validate() {
+  return this.curve.validate(this);
+};
+
+BaseCurve.prototype.decodePoint = function decodePoint(bytes, enc) {
+  bytes = utils.toArray(bytes, enc);
+
+  var len = this.p.byteLength();
+
+  // uncompressed, hybrid-odd, hybrid-even
+  if ((bytes[0] === 0x04 || bytes[0] === 0x06 || bytes[0] === 0x07) &&
+      bytes.length - 1 === 2 * len) {
+    if (bytes[0] === 0x06)
+      assert(bytes[bytes.length - 1] % 2 === 0);
+    else if (bytes[0] === 0x07)
+      assert(bytes[bytes.length - 1] % 2 === 1);
+
+    var res =  this.point(bytes.slice(1, 1 + len),
+                          bytes.slice(1 + len, 1 + 2 * len));
+
+    return res;
+  } else if ((bytes[0] === 0x02 || bytes[0] === 0x03) &&
+              bytes.length - 1 === len) {
+    return this.pointFromX(bytes.slice(1, 1 + len), bytes[0] === 0x03);
+  }
+  throw new Error('Unknown point format');
+};
+
+BasePoint.prototype.encodeCompressed = function encodeCompressed(enc) {
+  return this.encode(enc, true);
+};
+
+BasePoint.prototype._encode = function _encode(compact) {
+  var len = this.curve.p.byteLength();
+  var x = this.getX().toArray('be', len);
+
+  if (compact)
+    return [ this.getY().isEven() ? 0x02 : 0x03 ].concat(x);
+
+  return [ 0x04 ].concat(x, this.getY().toArray('be', len)) ;
+};
+
+BasePoint.prototype.encode = function encode(enc, compact) {
+  return utils.encode(this._encode(compact), enc);
+};
+
+BasePoint.prototype.precompute = function precompute(power) {
+  if (this.precomputed)
+    return this;
+
+  var precomputed = {
+    doubles: null,
+    naf: null,
+    beta: null
+  };
+  precomputed.naf = this._getNAFPoints(8);
+  precomputed.doubles = this._getDoubles(4, power);
+  precomputed.beta = this._getBeta();
+  this.precomputed = precomputed;
+
+  return this;
+};
+
+BasePoint.prototype._hasDoubles = function _hasDoubles(k) {
+  if (!this.precomputed)
+    return false;
+
+  var doubles = this.precomputed.doubles;
+  if (!doubles)
+    return false;
+
+  return doubles.points.length >= Math.ceil((k.bitLength() + 1) / doubles.step);
+};
+
+BasePoint.prototype._getDoubles = function _getDoubles(step, power) {
+  if (this.precomputed && this.precomputed.doubles)
+    return this.precomputed.doubles;
+
+  var doubles = [ this ];
+  var acc = this;
+  for (var i = 0; i < power; i += step) {
+    for (var j = 0; j < step; j++)
+      acc = acc.dbl();
+    doubles.push(acc);
+  }
+  return {
+    step: step,
+    points: doubles
+  };
+};
+
+BasePoint.prototype._getNAFPoints = function _getNAFPoints(wnd) {
+  if (this.precomputed && this.precomputed.naf)
+    return this.precomputed.naf;
+
+  var res = [ this ];
+  var max = (1 << wnd) - 1;
+  var dbl = max === 1 ? null : this.dbl();
+  for (var i = 1; i < max; i++)
+    res[i] = res[i - 1].add(dbl);
+  return {
+    wnd: wnd,
+    points: res
+  };
+};
+
+BasePoint.prototype._getBeta = function _getBeta() {
+  return null;
+};
+
+BasePoint.prototype.dblp = function dblp(k) {
+  var r = this;
+  for (var i = 0; i < k; i++)
+    r = r.dbl();
+  return r;
+};
+
+},{"bn.js":109,"../../elliptic":108}],197:[function(require,module,exports) {
+'use strict';
+
+var curve = require('../curve');
+var elliptic = require('../../elliptic');
+var BN = require('bn.js');
+var inherits = require('inherits');
+var Base = curve.base;
+
+var assert = elliptic.utils.assert;
+
+function ShortCurve(conf) {
+  Base.call(this, 'short', conf);
+
+  this.a = new BN(conf.a, 16).toRed(this.red);
+  this.b = new BN(conf.b, 16).toRed(this.red);
+  this.tinv = this.two.redInvm();
+
+  this.zeroA = this.a.fromRed().cmpn(0) === 0;
+  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;
+
+  // If the curve is endomorphic, precalculate beta and lambda
+  this.endo = this._getEndomorphism(conf);
+  this._endoWnafT1 = new Array(4);
+  this._endoWnafT2 = new Array(4);
+}
+inherits(ShortCurve, Base);
+module.exports = ShortCurve;
+
+ShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {
+  // No efficient endomorphism
+  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)
+    return;
+
+  // Compute beta and lambda, that lambda * P = (beta * Px; Py)
+  var beta;
+  var lambda;
+  if (conf.beta) {
+    beta = new BN(conf.beta, 16).toRed(this.red);
+  } else {
+    var betas = this._getEndoRoots(this.p);
+    // Choose the smallest beta
+    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];
+    beta = beta.toRed(this.red);
+  }
+  if (conf.lambda) {
+    lambda = new BN(conf.lambda, 16);
+  } else {
+    // Choose the lambda that is matching selected beta
+    var lambdas = this._getEndoRoots(this.n);
+    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {
+      lambda = lambdas[0];
+    } else {
+      lambda = lambdas[1];
+      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);
+    }
+  }
+
+  // Get basis vectors, used for balanced length-two representation
+  var basis;
+  if (conf.basis) {
+    basis = conf.basis.map(function(vec) {
+      return {
+        a: new BN(vec.a, 16),
+        b: new BN(vec.b, 16)
+      };
+    });
+  } else {
+    basis = this._getEndoBasis(lambda);
+  }
+
+  return {
+    beta: beta,
+    lambda: lambda,
+    basis: basis
+  };
+};
+
+ShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {
+  // Find roots of for x^2 + x + 1 in F
+  // Root = (-1 +- Sqrt(-3)) / 2
+  //
+  var red = num === this.p ? this.red : BN.mont(num);
+  var tinv = new BN(2).toRed(red).redInvm();
+  var ntinv = tinv.redNeg();
+
+  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);
+
+  var l1 = ntinv.redAdd(s).fromRed();
+  var l2 = ntinv.redSub(s).fromRed();
+  return [ l1, l2 ];
+};
+
+ShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {
+  // aprxSqrt >= sqrt(this.n)
+  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));
+
+  // 3.74
+  // Run EGCD, until r(L + 1) < aprxSqrt
+  var u = lambda;
+  var v = this.n.clone();
+  var x1 = new BN(1);
+  var y1 = new BN(0);
+  var x2 = new BN(0);
+  var y2 = new BN(1);
+
+  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)
+  var a0;
+  var b0;
+  // First vector
+  var a1;
+  var b1;
+  // Second vector
+  var a2;
+  var b2;
+
+  var prevR;
+  var i = 0;
+  var r;
+  var x;
+  while (u.cmpn(0) !== 0) {
+    var q = v.div(u);
+    r = v.sub(q.mul(u));
+    x = x2.sub(q.mul(x1));
+    var y = y2.sub(q.mul(y1));
+
+    if (!a1 && r.cmp(aprxSqrt) < 0) {
+      a0 = prevR.neg();
+      b0 = x1;
+      a1 = r.neg();
+      b1 = x;
+    } else if (a1 && ++i === 2) {
+      break;
+    }
+    prevR = r;
+
+    v = u;
+    u = r;
+    x2 = x1;
+    x1 = x;
+    y2 = y1;
+    y1 = y;
+  }
+  a2 = r.neg();
+  b2 = x;
+
+  var len1 = a1.sqr().add(b1.sqr());
+  var len2 = a2.sqr().add(b2.sqr());
+  if (len2.cmp(len1) >= 0) {
+    a2 = a0;
+    b2 = b0;
+  }
+
+  // Normalize signs
+  if (a1.negative) {
+    a1 = a1.neg();
+    b1 = b1.neg();
+  }
+  if (a2.negative) {
+    a2 = a2.neg();
+    b2 = b2.neg();
+  }
+
+  return [
+    { a: a1, b: b1 },
+    { a: a2, b: b2 }
+  ];
+};
+
+ShortCurve.prototype._endoSplit = function _endoSplit(k) {
+  var basis = this.endo.basis;
+  var v1 = basis[0];
+  var v2 = basis[1];
+
+  var c1 = v2.b.mul(k).divRound(this.n);
+  var c2 = v1.b.neg().mul(k).divRound(this.n);
+
+  var p1 = c1.mul(v1.a);
+  var p2 = c2.mul(v2.a);
+  var q1 = c1.mul(v1.b);
+  var q2 = c2.mul(v2.b);
+
+  // Calculate answer
+  var k1 = k.sub(p1).sub(p2);
+  var k2 = q1.add(q2).neg();
+  return { k1: k1, k2: k2 };
+};
+
+ShortCurve.prototype.pointFromX = function pointFromX(x, odd) {
+  x = new BN(x, 16);
+  if (!x.red)
+    x = x.toRed(this.red);
+
+  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);
+  var y = y2.redSqrt();
+  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)
+    throw new Error('invalid point');
+
+  // XXX Is there any way to tell if the number is odd without converting it
+  // to non-red form?
+  var isOdd = y.fromRed().isOdd();
+  if (odd && !isOdd || !odd && isOdd)
+    y = y.redNeg();
+
+  return this.point(x, y);
+};
+
+ShortCurve.prototype.validate = function validate(point) {
+  if (point.inf)
+    return true;
+
+  var x = point.x;
+  var y = point.y;
+
+  var ax = this.a.redMul(x);
+  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);
+  return y.redSqr().redISub(rhs).cmpn(0) === 0;
+};
+
+ShortCurve.prototype._endoWnafMulAdd =
+    function _endoWnafMulAdd(points, coeffs, jacobianResult) {
+  var npoints = this._endoWnafT1;
+  var ncoeffs = this._endoWnafT2;
+  for (var i = 0; i < points.length; i++) {
+    var split = this._endoSplit(coeffs[i]);
+    var p = points[i];
+    var beta = p._getBeta();
+
+    if (split.k1.negative) {
+      split.k1.ineg();
+      p = p.neg(true);
+    }
+    if (split.k2.negative) {
+      split.k2.ineg();
+      beta = beta.neg(true);
+    }
+
+    npoints[i * 2] = p;
+    npoints[i * 2 + 1] = beta;
+    ncoeffs[i * 2] = split.k1;
+    ncoeffs[i * 2 + 1] = split.k2;
+  }
+  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);
+
+  // Clean-up references to points and coefficients
+  for (var j = 0; j < i * 2; j++) {
+    npoints[j] = null;
+    ncoeffs[j] = null;
+  }
+  return res;
+};
+
+function Point(curve, x, y, isRed) {
+  Base.BasePoint.call(this, curve, 'affine');
+  if (x === null && y === null) {
+    this.x = null;
+    this.y = null;
+    this.inf = true;
+  } else {
+    this.x = new BN(x, 16);
+    this.y = new BN(y, 16);
+    // Force redgomery representation when loading from JSON
+    if (isRed) {
+      this.x.forceRed(this.curve.red);
+      this.y.forceRed(this.curve.red);
+    }
+    if (!this.x.red)
+      this.x = this.x.toRed(this.curve.red);
+    if (!this.y.red)
+      this.y = this.y.toRed(this.curve.red);
+    this.inf = false;
+  }
+}
+inherits(Point, Base.BasePoint);
+
+ShortCurve.prototype.point = function point(x, y, isRed) {
+  return new Point(this, x, y, isRed);
+};
+
+ShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {
+  return Point.fromJSON(this, obj, red);
+};
+
+Point.prototype._getBeta = function _getBeta() {
+  if (!this.curve.endo)
+    return;
+
+  var pre = this.precomputed;
+  if (pre && pre.beta)
+    return pre.beta;
+
+  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);
+  if (pre) {
+    var curve = this.curve;
+    var endoMul = function(p) {
+      return curve.point(p.x.redMul(curve.endo.beta), p.y);
+    };
+    pre.beta = beta;
+    beta.precomputed = {
+      beta: null,
+      naf: pre.naf && {
+        wnd: pre.naf.wnd,
+        points: pre.naf.points.map(endoMul)
+      },
+      doubles: pre.doubles && {
+        step: pre.doubles.step,
+        points: pre.doubles.points.map(endoMul)
+      }
+    };
+  }
+  return beta;
+};
+
+Point.prototype.toJSON = function toJSON() {
+  if (!this.precomputed)
+    return [ this.x, this.y ];
+
+  return [ this.x, this.y, this.precomputed && {
+    doubles: this.precomputed.doubles && {
+      step: this.precomputed.doubles.step,
+      points: this.precomputed.doubles.points.slice(1)
+    },
+    naf: this.precomputed.naf && {
+      wnd: this.precomputed.naf.wnd,
+      points: this.precomputed.naf.points.slice(1)
+    }
+  } ];
+};
+
+Point.fromJSON = function fromJSON(curve, obj, red) {
+  if (typeof obj === 'string')
+    obj = JSON.parse(obj);
+  var res = curve.point(obj[0], obj[1], red);
+  if (!obj[2])
+    return res;
+
+  function obj2point(obj) {
+    return curve.point(obj[0], obj[1], red);
+  }
+
+  var pre = obj[2];
+  res.precomputed = {
+    beta: null,
+    doubles: pre.doubles && {
+      step: pre.doubles.step,
+      points: [ res ].concat(pre.doubles.points.map(obj2point))
+    },
+    naf: pre.naf && {
+      wnd: pre.naf.wnd,
+      points: [ res ].concat(pre.naf.points.map(obj2point))
+    }
+  };
+  return res;
+};
+
+Point.prototype.inspect = function inspect() {
+  if (this.isInfinity())
+    return '<EC Point Infinity>';
+  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +
+      ' y: ' + this.y.fromRed().toString(16, 2) + '>';
+};
+
+Point.prototype.isInfinity = function isInfinity() {
+  return this.inf;
+};
+
+Point.prototype.add = function add(p) {
+  // O + P = P
+  if (this.inf)
+    return p;
+
+  // P + O = P
+  if (p.inf)
+    return this;
+
+  // P + P = 2P
+  if (this.eq(p))
+    return this.dbl();
+
+  // P + (-P) = O
+  if (this.neg().eq(p))
+    return this.curve.point(null, null);
+
+  // P + Q = O
+  if (this.x.cmp(p.x) === 0)
+    return this.curve.point(null, null);
+
+  var c = this.y.redSub(p.y);
+  if (c.cmpn(0) !== 0)
+    c = c.redMul(this.x.redSub(p.x).redInvm());
+  var nx = c.redSqr().redISub(this.x).redISub(p.x);
+  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);
+  return this.curve.point(nx, ny);
+};
+
+Point.prototype.dbl = function dbl() {
+  if (this.inf)
+    return this;
+
+  // 2P = O
+  var ys1 = this.y.redAdd(this.y);
+  if (ys1.cmpn(0) === 0)
+    return this.curve.point(null, null);
+
+  var a = this.curve.a;
+
+  var x2 = this.x.redSqr();
+  var dyinv = ys1.redInvm();
+  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);
+
+  var nx = c.redSqr().redISub(this.x.redAdd(this.x));
+  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);
+  return this.curve.point(nx, ny);
+};
+
+Point.prototype.getX = function getX() {
+  return this.x.fromRed();
+};
+
+Point.prototype.getY = function getY() {
+  return this.y.fromRed();
+};
+
+Point.prototype.mul = function mul(k) {
+  k = new BN(k, 16);
+
+  if (this._hasDoubles(k))
+    return this.curve._fixedNafMul(this, k);
+  else if (this.curve.endo)
+    return this.curve._endoWnafMulAdd([ this ], [ k ]);
+  else
+    return this.curve._wnafMul(this, k);
+};
+
+Point.prototype.mulAdd = function mulAdd(k1, p2, k2) {
+  var points = [ this, p2 ];
+  var coeffs = [ k1, k2 ];
+  if (this.curve.endo)
+    return this.curve._endoWnafMulAdd(points, coeffs);
+  else
+    return this.curve._wnafMulAdd(1, points, coeffs, 2);
+};
+
+Point.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {
+  var points = [ this, p2 ];
+  var coeffs = [ k1, k2 ];
+  if (this.curve.endo)
+    return this.curve._endoWnafMulAdd(points, coeffs, true);
+  else
+    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);
+};
+
+Point.prototype.eq = function eq(p) {
+  return this === p ||
+         this.inf === p.inf &&
+             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);
+};
+
+Point.prototype.neg = function neg(_precompute) {
+  if (this.inf)
+    return this;
+
+  var res = this.curve.point(this.x, this.y.redNeg());
+  if (_precompute && this.precomputed) {
+    var pre = this.precomputed;
+    var negate = function(p) {
+      return p.neg();
+    };
+    res.precomputed = {
+      naf: pre.naf && {
+        wnd: pre.naf.wnd,
+        points: pre.naf.points.map(negate)
+      },
+      doubles: pre.doubles && {
+        step: pre.doubles.step,
+        points: pre.doubles.points.map(negate)
+      }
+    };
+  }
+  return res;
+};
+
+Point.prototype.toJ = function toJ() {
+  if (this.inf)
+    return this.curve.jpoint(null, null, null);
+
+  var res = this.curve.jpoint(this.x, this.y, this.curve.one);
+  return res;
+};
+
+function JPoint(curve, x, y, z) {
+  Base.BasePoint.call(this, curve, 'jacobian');
+  if (x === null && y === null && z === null) {
+    this.x = this.curve.one;
+    this.y = this.curve.one;
+    this.z = new BN(0);
+  } else {
+    this.x = new BN(x, 16);
+    this.y = new BN(y, 16);
+    this.z = new BN(z, 16);
+  }
+  if (!this.x.red)
+    this.x = this.x.toRed(this.curve.red);
+  if (!this.y.red)
+    this.y = this.y.toRed(this.curve.red);
+  if (!this.z.red)
+    this.z = this.z.toRed(this.curve.red);
+
+  this.zOne = this.z === this.curve.one;
+}
+inherits(JPoint, Base.BasePoint);
+
+ShortCurve.prototype.jpoint = function jpoint(x, y, z) {
+  return new JPoint(this, x, y, z);
+};
+
+JPoint.prototype.toP = function toP() {
+  if (this.isInfinity())
+    return this.curve.point(null, null);
+
+  var zinv = this.z.redInvm();
+  var zinv2 = zinv.redSqr();
+  var ax = this.x.redMul(zinv2);
+  var ay = this.y.redMul(zinv2).redMul(zinv);
+
+  return this.curve.point(ax, ay);
+};
+
+JPoint.prototype.neg = function neg() {
+  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);
+};
+
+JPoint.prototype.add = function add(p) {
+  // O + P = P
+  if (this.isInfinity())
+    return p;
+
+  // P + O = P
+  if (p.isInfinity())
+    return this;
+
+  // 12M + 4S + 7A
+  var pz2 = p.z.redSqr();
+  var z2 = this.z.redSqr();
+  var u1 = this.x.redMul(pz2);
+  var u2 = p.x.redMul(z2);
+  var s1 = this.y.redMul(pz2.redMul(p.z));
+  var s2 = p.y.redMul(z2.redMul(this.z));
+
+  var h = u1.redSub(u2);
+  var r = s1.redSub(s2);
+  if (h.cmpn(0) === 0) {
+    if (r.cmpn(0) !== 0)
+      return this.curve.jpoint(null, null, null);
+    else
+      return this.dbl();
+  }
+
+  var h2 = h.redSqr();
+  var h3 = h2.redMul(h);
+  var v = u1.redMul(h2);
+
+  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);
+  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));
+  var nz = this.z.redMul(p.z).redMul(h);
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype.mixedAdd = function mixedAdd(p) {
+  // O + P = P
+  if (this.isInfinity())
+    return p.toJ();
+
+  // P + O = P
+  if (p.isInfinity())
+    return this;
+
+  // 8M + 3S + 7A
+  var z2 = this.z.redSqr();
+  var u1 = this.x;
+  var u2 = p.x.redMul(z2);
+  var s1 = this.y;
+  var s2 = p.y.redMul(z2).redMul(this.z);
+
+  var h = u1.redSub(u2);
+  var r = s1.redSub(s2);
+  if (h.cmpn(0) === 0) {
+    if (r.cmpn(0) !== 0)
+      return this.curve.jpoint(null, null, null);
+    else
+      return this.dbl();
+  }
+
+  var h2 = h.redSqr();
+  var h3 = h2.redMul(h);
+  var v = u1.redMul(h2);
+
+  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);
+  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));
+  var nz = this.z.redMul(h);
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype.dblp = function dblp(pow) {
+  if (pow === 0)
+    return this;
+  if (this.isInfinity())
+    return this;
+  if (!pow)
+    return this.dbl();
+
+  if (this.curve.zeroA || this.curve.threeA) {
+    var r = this;
+    for (var i = 0; i < pow; i++)
+      r = r.dbl();
+    return r;
+  }
+
+  // 1M + 2S + 1A + N * (4S + 5M + 8A)
+  // N = 1 => 6M + 6S + 9A
+  var a = this.curve.a;
+  var tinv = this.curve.tinv;
+
+  var jx = this.x;
+  var jy = this.y;
+  var jz = this.z;
+  var jz4 = jz.redSqr().redSqr();
+
+  // Reuse results
+  var jyd = jy.redAdd(jy);
+  for (var i = 0; i < pow; i++) {
+    var jx2 = jx.redSqr();
+    var jyd2 = jyd.redSqr();
+    var jyd4 = jyd2.redSqr();
+    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));
+
+    var t1 = jx.redMul(jyd2);
+    var nx = c.redSqr().redISub(t1.redAdd(t1));
+    var t2 = t1.redISub(nx);
+    var dny = c.redMul(t2);
+    dny = dny.redIAdd(dny).redISub(jyd4);
+    var nz = jyd.redMul(jz);
+    if (i + 1 < pow)
+      jz4 = jz4.redMul(jyd4);
+
+    jx = nx;
+    jz = nz;
+    jyd = dny;
+  }
+
+  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);
+};
+
+JPoint.prototype.dbl = function dbl() {
+  if (this.isInfinity())
+    return this;
+
+  if (this.curve.zeroA)
+    return this._zeroDbl();
+  else if (this.curve.threeA)
+    return this._threeDbl();
+  else
+    return this._dbl();
+};
+
+JPoint.prototype._zeroDbl = function _zeroDbl() {
+  var nx;
+  var ny;
+  var nz;
+  // Z = 1
+  if (this.zOne) {
+    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html
+    //     #doubling-mdbl-2007-bl
+    // 1M + 5S + 14A
+
+    // XX = X1^2
+    var xx = this.x.redSqr();
+    // YY = Y1^2
+    var yy = this.y.redSqr();
+    // YYYY = YY^2
+    var yyyy = yy.redSqr();
+    // S = 2 * ((X1 + YY)^2 - XX - YYYY)
+    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);
+    s = s.redIAdd(s);
+    // M = 3 * XX + a; a = 0
+    var m = xx.redAdd(xx).redIAdd(xx);
+    // T = M ^ 2 - 2*S
+    var t = m.redSqr().redISub(s).redISub(s);
+
+    // 8 * YYYY
+    var yyyy8 = yyyy.redIAdd(yyyy);
+    yyyy8 = yyyy8.redIAdd(yyyy8);
+    yyyy8 = yyyy8.redIAdd(yyyy8);
+
+    // X3 = T
+    nx = t;
+    // Y3 = M * (S - T) - 8 * YYYY
+    ny = m.redMul(s.redISub(t)).redISub(yyyy8);
+    // Z3 = 2*Y1
+    nz = this.y.redAdd(this.y);
+  } else {
+    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html
+    //     #doubling-dbl-2009-l
+    // 2M + 5S + 13A
+
+    // A = X1^2
+    var a = this.x.redSqr();
+    // B = Y1^2
+    var b = this.y.redSqr();
+    // C = B^2
+    var c = b.redSqr();
+    // D = 2 * ((X1 + B)^2 - A - C)
+    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);
+    d = d.redIAdd(d);
+    // E = 3 * A
+    var e = a.redAdd(a).redIAdd(a);
+    // F = E^2
+    var f = e.redSqr();
+
+    // 8 * C
+    var c8 = c.redIAdd(c);
+    c8 = c8.redIAdd(c8);
+    c8 = c8.redIAdd(c8);
+
+    // X3 = F - 2 * D
+    nx = f.redISub(d).redISub(d);
+    // Y3 = E * (D - X3) - 8 * C
+    ny = e.redMul(d.redISub(nx)).redISub(c8);
+    // Z3 = 2 * Y1 * Z1
+    nz = this.y.redMul(this.z);
+    nz = nz.redIAdd(nz);
+  }
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype._threeDbl = function _threeDbl() {
+  var nx;
+  var ny;
+  var nz;
+  // Z = 1
+  if (this.zOne) {
+    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html
+    //     #doubling-mdbl-2007-bl
+    // 1M + 5S + 15A
+
+    // XX = X1^2
+    var xx = this.x.redSqr();
+    // YY = Y1^2
+    var yy = this.y.redSqr();
+    // YYYY = YY^2
+    var yyyy = yy.redSqr();
+    // S = 2 * ((X1 + YY)^2 - XX - YYYY)
+    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);
+    s = s.redIAdd(s);
+    // M = 3 * XX + a
+    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);
+    // T = M^2 - 2 * S
+    var t = m.redSqr().redISub(s).redISub(s);
+    // X3 = T
+    nx = t;
+    // Y3 = M * (S - T) - 8 * YYYY
+    var yyyy8 = yyyy.redIAdd(yyyy);
+    yyyy8 = yyyy8.redIAdd(yyyy8);
+    yyyy8 = yyyy8.redIAdd(yyyy8);
+    ny = m.redMul(s.redISub(t)).redISub(yyyy8);
+    // Z3 = 2 * Y1
+    nz = this.y.redAdd(this.y);
+  } else {
+    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b
+    // 3M + 5S
+
+    // delta = Z1^2
+    var delta = this.z.redSqr();
+    // gamma = Y1^2
+    var gamma = this.y.redSqr();
+    // beta = X1 * gamma
+    var beta = this.x.redMul(gamma);
+    // alpha = 3 * (X1 - delta) * (X1 + delta)
+    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));
+    alpha = alpha.redAdd(alpha).redIAdd(alpha);
+    // X3 = alpha^2 - 8 * beta
+    var beta4 = beta.redIAdd(beta);
+    beta4 = beta4.redIAdd(beta4);
+    var beta8 = beta4.redAdd(beta4);
+    nx = alpha.redSqr().redISub(beta8);
+    // Z3 = (Y1 + Z1)^2 - gamma - delta
+    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);
+    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2
+    var ggamma8 = gamma.redSqr();
+    ggamma8 = ggamma8.redIAdd(ggamma8);
+    ggamma8 = ggamma8.redIAdd(ggamma8);
+    ggamma8 = ggamma8.redIAdd(ggamma8);
+    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);
+  }
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype._dbl = function _dbl() {
+  var a = this.curve.a;
+
+  // 4M + 6S + 10A
+  var jx = this.x;
+  var jy = this.y;
+  var jz = this.z;
+  var jz4 = jz.redSqr().redSqr();
+
+  var jx2 = jx.redSqr();
+  var jy2 = jy.redSqr();
+
+  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));
+
+  var jxd4 = jx.redAdd(jx);
+  jxd4 = jxd4.redIAdd(jxd4);
+  var t1 = jxd4.redMul(jy2);
+  var nx = c.redSqr().redISub(t1.redAdd(t1));
+  var t2 = t1.redISub(nx);
+
+  var jyd8 = jy2.redSqr();
+  jyd8 = jyd8.redIAdd(jyd8);
+  jyd8 = jyd8.redIAdd(jyd8);
+  jyd8 = jyd8.redIAdd(jyd8);
+  var ny = c.redMul(t2).redISub(jyd8);
+  var nz = jy.redAdd(jy).redMul(jz);
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype.trpl = function trpl() {
+  if (!this.curve.zeroA)
+    return this.dbl().add(this);
+
+  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl
+  // 5M + 10S + ...
+
+  // XX = X1^2
+  var xx = this.x.redSqr();
+  // YY = Y1^2
+  var yy = this.y.redSqr();
+  // ZZ = Z1^2
+  var zz = this.z.redSqr();
+  // YYYY = YY^2
+  var yyyy = yy.redSqr();
+  // M = 3 * XX + a * ZZ2; a = 0
+  var m = xx.redAdd(xx).redIAdd(xx);
+  // MM = M^2
+  var mm = m.redSqr();
+  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM
+  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);
+  e = e.redIAdd(e);
+  e = e.redAdd(e).redIAdd(e);
+  e = e.redISub(mm);
+  // EE = E^2
+  var ee = e.redSqr();
+  // T = 16*YYYY
+  var t = yyyy.redIAdd(yyyy);
+  t = t.redIAdd(t);
+  t = t.redIAdd(t);
+  t = t.redIAdd(t);
+  // U = (M + E)^2 - MM - EE - T
+  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);
+  // X3 = 4 * (X1 * EE - 4 * YY * U)
+  var yyu4 = yy.redMul(u);
+  yyu4 = yyu4.redIAdd(yyu4);
+  yyu4 = yyu4.redIAdd(yyu4);
+  var nx = this.x.redMul(ee).redISub(yyu4);
+  nx = nx.redIAdd(nx);
+  nx = nx.redIAdd(nx);
+  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)
+  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));
+  ny = ny.redIAdd(ny);
+  ny = ny.redIAdd(ny);
+  ny = ny.redIAdd(ny);
+  // Z3 = (Z1 + E)^2 - ZZ - EE
+  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);
+
+  return this.curve.jpoint(nx, ny, nz);
+};
+
+JPoint.prototype.mul = function mul(k, kbase) {
+  k = new BN(k, kbase);
+
+  return this.curve._wnafMul(this, k);
+};
+
+JPoint.prototype.eq = function eq(p) {
+  if (p.type === 'affine')
+    return this.eq(p.toJ());
+
+  if (this === p)
+    return true;
+
+  // x1 * z2^2 == x2 * z1^2
+  var z2 = this.z.redSqr();
+  var pz2 = p.z.redSqr();
+  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)
+    return false;
+
+  // y1 * z2^3 == y2 * z1^3
+  var z3 = z2.redMul(this.z);
+  var pz3 = pz2.redMul(p.z);
+  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;
+};
+
+JPoint.prototype.eqXToP = function eqXToP(x) {
+  var zs = this.z.redSqr();
+  var rx = x.toRed(this.curve.red).redMul(zs);
+  if (this.x.cmp(rx) === 0)
+    return true;
+
+  var xc = x.clone();
+  var t = this.curve.redN.redMul(zs);
+  for (;;) {
+    xc.iadd(this.curve.n);
+    if (xc.cmp(this.curve.p) >= 0)
+      return false;
+
+    rx.redIAdd(t);
+    if (this.x.cmp(rx) === 0)
+      return true;
+  }
+  return false;
+};
+
+JPoint.prototype.inspect = function inspect() {
+  if (this.isInfinity())
+    return '<EC JPoint Infinity>';
+  return '<EC JPoint x: ' + this.x.toString(16, 2) +
+      ' y: ' + this.y.toString(16, 2) +
+      ' z: ' + this.z.toString(16, 2) + '>';
+};
+
+JPoint.prototype.isInfinity = function isInfinity() {
+  // XXX This code assumes that zero is always zero in red
+  return this.z.cmpn(0) === 0;
+};
+
+},{"../curve":183,"../../elliptic":108,"bn.js":109,"inherits":97}],198:[function(require,module,exports) {
+'use strict';
+
+var curve = require('../curve');
+var BN = require('bn.js');
+var inherits = require('inherits');
+var Base = curve.base;
+
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+
+function MontCurve(conf) {
+  Base.call(this, 'mont', conf);
+
+  this.a = new BN(conf.a, 16).toRed(this.red);
+  this.b = new BN(conf.b, 16).toRed(this.red);
+  this.i4 = new BN(4).toRed(this.red).redInvm();
+  this.two = new BN(2).toRed(this.red);
+  this.a24 = this.i4.redMul(this.a.redAdd(this.two));
+}
+inherits(MontCurve, Base);
+module.exports = MontCurve;
+
+MontCurve.prototype.validate = function validate(point) {
+  var x = point.normalize().x;
+  var x2 = x.redSqr();
+  var rhs = x2.redMul(x).redAdd(x2.redMul(this.a)).redAdd(x);
+  var y = rhs.redSqrt();
+
+  return y.redSqr().cmp(rhs) === 0;
+};
+
+function Point(curve, x, z) {
+  Base.BasePoint.call(this, curve, 'projective');
+  if (x === null && z === null) {
+    this.x = this.curve.one;
+    this.z = this.curve.zero;
+  } else {
+    this.x = new BN(x, 16);
+    this.z = new BN(z, 16);
+    if (!this.x.red)
+      this.x = this.x.toRed(this.curve.red);
+    if (!this.z.red)
+      this.z = this.z.toRed(this.curve.red);
+  }
+}
+inherits(Point, Base.BasePoint);
+
+MontCurve.prototype.decodePoint = function decodePoint(bytes, enc) {
+  return this.point(utils.toArray(bytes, enc), 1);
+};
+
+MontCurve.prototype.point = function point(x, z) {
+  return new Point(this, x, z);
+};
+
+MontCurve.prototype.pointFromJSON = function pointFromJSON(obj) {
+  return Point.fromJSON(this, obj);
+};
+
+Point.prototype.precompute = function precompute() {
+  // No-op
+};
+
+Point.prototype._encode = function _encode() {
+  return this.getX().toArray('be', this.curve.p.byteLength());
+};
+
+Point.fromJSON = function fromJSON(curve, obj) {
+  return new Point(curve, obj[0], obj[1] || curve.one);
+};
+
+Point.prototype.inspect = function inspect() {
+  if (this.isInfinity())
+    return '<EC Point Infinity>';
+  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +
+      ' z: ' + this.z.fromRed().toString(16, 2) + '>';
+};
+
+Point.prototype.isInfinity = function isInfinity() {
+  // XXX This code assumes that zero is always zero in red
+  return this.z.cmpn(0) === 0;
+};
+
+Point.prototype.dbl = function dbl() {
+  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#doubling-dbl-1987-m-3
+  // 2M + 2S + 4A
+
+  // A = X1 + Z1
+  var a = this.x.redAdd(this.z);
+  // AA = A^2
+  var aa = a.redSqr();
+  // B = X1 - Z1
+  var b = this.x.redSub(this.z);
+  // BB = B^2
+  var bb = b.redSqr();
+  // C = AA - BB
+  var c = aa.redSub(bb);
+  // X3 = AA * BB
+  var nx = aa.redMul(bb);
+  // Z3 = C * (BB + A24 * C)
+  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));
+  return this.curve.point(nx, nz);
+};
+
+Point.prototype.add = function add() {
+  throw new Error('Not supported on Montgomery curve');
+};
+
+Point.prototype.diffAdd = function diffAdd(p, diff) {
+  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3
+  // 4M + 2S + 6A
+
+  // A = X2 + Z2
+  var a = this.x.redAdd(this.z);
+  // B = X2 - Z2
+  var b = this.x.redSub(this.z);
+  // C = X3 + Z3
+  var c = p.x.redAdd(p.z);
+  // D = X3 - Z3
+  var d = p.x.redSub(p.z);
+  // DA = D * A
+  var da = d.redMul(a);
+  // CB = C * B
+  var cb = c.redMul(b);
+  // X5 = Z1 * (DA + CB)^2
+  var nx = diff.z.redMul(da.redAdd(cb).redSqr());
+  // Z5 = X1 * (DA - CB)^2
+  var nz = diff.x.redMul(da.redISub(cb).redSqr());
+  return this.curve.point(nx, nz);
+};
+
+Point.prototype.mul = function mul(k) {
+  var t = k.clone();
+  var a = this; // (N / 2) * Q + Q
+  var b = this.curve.point(null, null); // (N / 2) * Q
+  var c = this; // Q
+
+  for (var bits = []; t.cmpn(0) !== 0; t.iushrn(1))
+    bits.push(t.andln(1));
+
+  for (var i = bits.length - 1; i >= 0; i--) {
+    if (bits[i] === 0) {
+      // N * Q + Q = ((N / 2) * Q + Q)) + (N / 2) * Q
+      a = a.diffAdd(b, c);
+      // N * Q = 2 * ((N / 2) * Q + Q))
+      b = b.dbl();
+    } else {
+      // N * Q = ((N / 2) * Q + Q) + ((N / 2) * Q)
+      b = a.diffAdd(b, c);
+      // N * Q + Q = 2 * ((N / 2) * Q + Q)
+      a = a.dbl();
+    }
+  }
+  return b;
+};
+
+Point.prototype.mulAdd = function mulAdd() {
+  throw new Error('Not supported on Montgomery curve');
+};
+
+Point.prototype.jumlAdd = function jumlAdd() {
+  throw new Error('Not supported on Montgomery curve');
+};
+
+Point.prototype.eq = function eq(other) {
+  return this.getX().cmp(other.getX()) === 0;
+};
+
+Point.prototype.normalize = function normalize() {
+  this.x = this.x.redMul(this.z.redInvm());
+  this.z = this.curve.one;
+  return this;
+};
+
+Point.prototype.getX = function getX() {
+  // Normalize coordinates
+  this.normalize();
+
+  return this.x.fromRed();
+};
+
+},{"../curve":183,"bn.js":109,"inherits":97,"../../elliptic":108}],199:[function(require,module,exports) {
+'use strict';
+
+var curve = require('../curve');
+var elliptic = require('../../elliptic');
+var BN = require('bn.js');
+var inherits = require('inherits');
+var Base = curve.base;
+
+var assert = elliptic.utils.assert;
+
+function EdwardsCurve(conf) {
+  // NOTE: Important as we are creating point in Base.call()
+  this.twisted = (conf.a | 0) !== 1;
+  this.mOneA = this.twisted && (conf.a | 0) === -1;
+  this.extended = this.mOneA;
+
+  Base.call(this, 'edwards', conf);
+
+  this.a = new BN(conf.a, 16).umod(this.red.m);
+  this.a = this.a.toRed(this.red);
+  this.c = new BN(conf.c, 16).toRed(this.red);
+  this.c2 = this.c.redSqr();
+  this.d = new BN(conf.d, 16).toRed(this.red);
+  this.dd = this.d.redAdd(this.d);
+
+  assert(!this.twisted || this.c.fromRed().cmpn(1) === 0);
+  this.oneC = (conf.c | 0) === 1;
+}
+inherits(EdwardsCurve, Base);
+module.exports = EdwardsCurve;
+
+EdwardsCurve.prototype._mulA = function _mulA(num) {
+  if (this.mOneA)
+    return num.redNeg();
+  else
+    return this.a.redMul(num);
+};
+
+EdwardsCurve.prototype._mulC = function _mulC(num) {
+  if (this.oneC)
+    return num;
+  else
+    return this.c.redMul(num);
+};
+
+// Just for compatibility with Short curve
+EdwardsCurve.prototype.jpoint = function jpoint(x, y, z, t) {
+  return this.point(x, y, z, t);
+};
+
+EdwardsCurve.prototype.pointFromX = function pointFromX(x, odd) {
+  x = new BN(x, 16);
+  if (!x.red)
+    x = x.toRed(this.red);
+
+  var x2 = x.redSqr();
+  var rhs = this.c2.redSub(this.a.redMul(x2));
+  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));
+
+  var y2 = rhs.redMul(lhs.redInvm());
+  var y = y2.redSqrt();
+  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)
+    throw new Error('invalid point');
+
+  var isOdd = y.fromRed().isOdd();
+  if (odd && !isOdd || !odd && isOdd)
+    y = y.redNeg();
+
+  return this.point(x, y);
+};
+
+EdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {
+  y = new BN(y, 16);
+  if (!y.red)
+    y = y.toRed(this.red);
+
+  // x^2 = (y^2 - 1) / (d y^2 + 1)
+  var y2 = y.redSqr();
+  var lhs = y2.redSub(this.one);
+  var rhs = y2.redMul(this.d).redAdd(this.one);
+  var x2 = lhs.redMul(rhs.redInvm());
+
+  if (x2.cmp(this.zero) === 0) {
+    if (odd)
+      throw new Error('invalid point');
+    else
+      return this.point(this.zero, y);
+  }
+
+  var x = x2.redSqrt();
+  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)
+    throw new Error('invalid point');
+
+  if (x.isOdd() !== odd)
+    x = x.redNeg();
+
+  return this.point(x, y);
+};
+
+EdwardsCurve.prototype.validate = function validate(point) {
+  if (point.isInfinity())
+    return true;
+
+  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)
+  point.normalize();
+
+  var x2 = point.x.redSqr();
+  var y2 = point.y.redSqr();
+  var lhs = x2.redMul(this.a).redAdd(y2);
+  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));
+
+  return lhs.cmp(rhs) === 0;
+};
+
+function Point(curve, x, y, z, t) {
+  Base.BasePoint.call(this, curve, 'projective');
+  if (x === null && y === null && z === null) {
+    this.x = this.curve.zero;
+    this.y = this.curve.one;
+    this.z = this.curve.one;
+    this.t = this.curve.zero;
+    this.zOne = true;
+  } else {
+    this.x = new BN(x, 16);
+    this.y = new BN(y, 16);
+    this.z = z ? new BN(z, 16) : this.curve.one;
+    this.t = t && new BN(t, 16);
+    if (!this.x.red)
+      this.x = this.x.toRed(this.curve.red);
+    if (!this.y.red)
+      this.y = this.y.toRed(this.curve.red);
+    if (!this.z.red)
+      this.z = this.z.toRed(this.curve.red);
+    if (this.t && !this.t.red)
+      this.t = this.t.toRed(this.curve.red);
+    this.zOne = this.z === this.curve.one;
+
+    // Use extended coordinates
+    if (this.curve.extended && !this.t) {
+      this.t = this.x.redMul(this.y);
+      if (!this.zOne)
+        this.t = this.t.redMul(this.z.redInvm());
+    }
+  }
+}
+inherits(Point, Base.BasePoint);
+
+EdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {
+  return Point.fromJSON(this, obj);
+};
+
+EdwardsCurve.prototype.point = function point(x, y, z, t) {
+  return new Point(this, x, y, z, t);
+};
+
+Point.fromJSON = function fromJSON(curve, obj) {
+  return new Point(curve, obj[0], obj[1], obj[2]);
+};
+
+Point.prototype.inspect = function inspect() {
+  if (this.isInfinity())
+    return '<EC Point Infinity>';
+  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +
+      ' y: ' + this.y.fromRed().toString(16, 2) +
+      ' z: ' + this.z.fromRed().toString(16, 2) + '>';
+};
+
+Point.prototype.isInfinity = function isInfinity() {
+  // XXX This code assumes that zero is always zero in red
+  return this.x.cmpn(0) === 0 &&
+         this.y.cmp(this.z) === 0;
+};
+
+Point.prototype._extDbl = function _extDbl() {
+  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html
+  //     #doubling-dbl-2008-hwcd
+  // 4M + 4S
+
+  // A = X1^2
+  var a = this.x.redSqr();
+  // B = Y1^2
+  var b = this.y.redSqr();
+  // C = 2 * Z1^2
+  var c = this.z.redSqr();
+  c = c.redIAdd(c);
+  // D = a * A
+  var d = this.curve._mulA(a);
+  // E = (X1 + Y1)^2 - A - B
+  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);
+  // G = D + B
+  var g = d.redAdd(b);
+  // F = G - C
+  var f = g.redSub(c);
+  // H = D - B
+  var h = d.redSub(b);
+  // X3 = E * F
+  var nx = e.redMul(f);
+  // Y3 = G * H
+  var ny = g.redMul(h);
+  // T3 = E * H
+  var nt = e.redMul(h);
+  // Z3 = F * G
+  var nz = f.redMul(g);
+  return this.curve.point(nx, ny, nz, nt);
+};
+
+Point.prototype._projDbl = function _projDbl() {
+  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html
+  //     #doubling-dbl-2008-bbjlp
+  //     #doubling-dbl-2007-bl
+  // and others
+  // Generally 3M + 4S or 2M + 4S
+
+  // B = (X1 + Y1)^2
+  var b = this.x.redAdd(this.y).redSqr();
+  // C = X1^2
+  var c = this.x.redSqr();
+  // D = Y1^2
+  var d = this.y.redSqr();
+
+  var nx;
+  var ny;
+  var nz;
+  if (this.curve.twisted) {
+    // E = a * C
+    var e = this.curve._mulA(c);
+    // F = E + D
+    var f = e.redAdd(d);
+    if (this.zOne) {
+      // X3 = (B - C - D) * (F - 2)
+      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));
+      // Y3 = F * (E - D)
+      ny = f.redMul(e.redSub(d));
+      // Z3 = F^2 - 2 * F
+      nz = f.redSqr().redSub(f).redSub(f);
+    } else {
+      // H = Z1^2
+      var h = this.z.redSqr();
+      // J = F - 2 * H
+      var j = f.redSub(h).redISub(h);
+      // X3 = (B-C-D)*J
+      nx = b.redSub(c).redISub(d).redMul(j);
+      // Y3 = F * (E - D)
+      ny = f.redMul(e.redSub(d));
+      // Z3 = F * J
+      nz = f.redMul(j);
+    }
+  } else {
+    // E = C + D
+    var e = c.redAdd(d);
+    // H = (c * Z1)^2
+    var h = this.curve._mulC(this.c.redMul(this.z)).redSqr();
+    // J = E - 2 * H
+    var j = e.redSub(h).redSub(h);
+    // X3 = c * (B - E) * J
+    nx = this.curve._mulC(b.redISub(e)).redMul(j);
+    // Y3 = c * E * (C - D)
+    ny = this.curve._mulC(e).redMul(c.redISub(d));
+    // Z3 = E * J
+    nz = e.redMul(j);
+  }
+  return this.curve.point(nx, ny, nz);
+};
+
+Point.prototype.dbl = function dbl() {
+  if (this.isInfinity())
+    return this;
+
+  // Double in extended coordinates
+  if (this.curve.extended)
+    return this._extDbl();
+  else
+    return this._projDbl();
+};
+
+Point.prototype._extAdd = function _extAdd(p) {
+  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html
+  //     #addition-add-2008-hwcd-3
+  // 8M
+
+  // A = (Y1 - X1) * (Y2 - X2)
+  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));
+  // B = (Y1 + X1) * (Y2 + X2)
+  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));
+  // C = T1 * k * T2
+  var c = this.t.redMul(this.curve.dd).redMul(p.t);
+  // D = Z1 * 2 * Z2
+  var d = this.z.redMul(p.z.redAdd(p.z));
+  // E = B - A
+  var e = b.redSub(a);
+  // F = D - C
+  var f = d.redSub(c);
+  // G = D + C
+  var g = d.redAdd(c);
+  // H = B + A
+  var h = b.redAdd(a);
+  // X3 = E * F
+  var nx = e.redMul(f);
+  // Y3 = G * H
+  var ny = g.redMul(h);
+  // T3 = E * H
+  var nt = e.redMul(h);
+  // Z3 = F * G
+  var nz = f.redMul(g);
+  return this.curve.point(nx, ny, nz, nt);
+};
+
+Point.prototype._projAdd = function _projAdd(p) {
+  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html
+  //     #addition-add-2008-bbjlp
+  //     #addition-add-2007-bl
+  // 10M + 1S
+
+  // A = Z1 * Z2
+  var a = this.z.redMul(p.z);
+  // B = A^2
+  var b = a.redSqr();
+  // C = X1 * X2
+  var c = this.x.redMul(p.x);
+  // D = Y1 * Y2
+  var d = this.y.redMul(p.y);
+  // E = d * C * D
+  var e = this.curve.d.redMul(c).redMul(d);
+  // F = B - E
+  var f = b.redSub(e);
+  // G = B + E
+  var g = b.redAdd(e);
+  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)
+  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);
+  var nx = a.redMul(f).redMul(tmp);
+  var ny;
+  var nz;
+  if (this.curve.twisted) {
+    // Y3 = A * G * (D - a * C)
+    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));
+    // Z3 = F * G
+    nz = f.redMul(g);
+  } else {
+    // Y3 = A * G * (D - C)
+    ny = a.redMul(g).redMul(d.redSub(c));
+    // Z3 = c * F * G
+    nz = this.curve._mulC(f).redMul(g);
+  }
+  return this.curve.point(nx, ny, nz);
+};
+
+Point.prototype.add = function add(p) {
+  if (this.isInfinity())
+    return p;
+  if (p.isInfinity())
+    return this;
+
+  if (this.curve.extended)
+    return this._extAdd(p);
+  else
+    return this._projAdd(p);
+};
+
+Point.prototype.mul = function mul(k) {
+  if (this._hasDoubles(k))
+    return this.curve._fixedNafMul(this, k);
+  else
+    return this.curve._wnafMul(this, k);
+};
+
+Point.prototype.mulAdd = function mulAdd(k1, p, k2) {
+  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, false);
+};
+
+Point.prototype.jmulAdd = function jmulAdd(k1, p, k2) {
+  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, true);
+};
+
+Point.prototype.normalize = function normalize() {
+  if (this.zOne)
+    return this;
+
+  // Normalize coordinates
+  var zi = this.z.redInvm();
+  this.x = this.x.redMul(zi);
+  this.y = this.y.redMul(zi);
+  if (this.t)
+    this.t = this.t.redMul(zi);
+  this.z = this.curve.one;
+  this.zOne = true;
+  return this;
+};
+
+Point.prototype.neg = function neg() {
+  return this.curve.point(this.x.redNeg(),
+                          this.y,
+                          this.z,
+                          this.t && this.t.redNeg());
+};
+
+Point.prototype.getX = function getX() {
+  this.normalize();
+  return this.x.fromRed();
+};
+
+Point.prototype.getY = function getY() {
+  this.normalize();
+  return this.y.fromRed();
+};
+
+Point.prototype.eq = function eq(other) {
+  return this === other ||
+         this.getX().cmp(other.getX()) === 0 &&
+         this.getY().cmp(other.getY()) === 0;
+};
+
+Point.prototype.eqXToP = function eqXToP(x) {
+  var rx = x.toRed(this.curve.red).redMul(this.z);
+  if (this.x.cmp(rx) === 0)
+    return true;
+
+  var xc = x.clone();
+  var t = this.curve.redN.redMul(this.z);
+  for (;;) {
+    xc.iadd(this.curve.n);
+    if (xc.cmp(this.curve.p) >= 0)
+      return false;
+
+    rx.redIAdd(t);
+    if (this.x.cmp(rx) === 0)
+      return true;
+  }
+  return false;
+};
+
+// Compatibility with BaseCurve
+Point.prototype.toP = Point.prototype.normalize;
+Point.prototype.mixedAdd = Point.prototype.add;
+
+},{"../curve":183,"../../elliptic":108,"bn.js":109,"inherits":97}],183:[function(require,module,exports) {
+'use strict';
+
+var curve = exports;
+
+curve.base = require('./base');
+curve.short = require('./short');
+curve.mont = require('./mont');
+curve.edwards = require('./edwards');
+
+},{"./base":196,"./short":197,"./mont":198,"./edwards":199}],178:[function(require,module,exports) {
+'use strict';
+
+var assert = require('minimalistic-assert');
+var inherits = require('inherits');
+
+exports.inherits = inherits;
+
+function toArray(msg, enc) {
+  if (Array.isArray(msg))
+    return msg.slice();
+  if (!msg)
+    return [];
+  var res = [];
+  if (typeof msg === 'string') {
+    if (!enc) {
+      for (var i = 0; i < msg.length; i++) {
+        var c = msg.charCodeAt(i);
+        var hi = c >> 8;
+        var lo = c & 0xff;
+        if (hi)
+          res.push(hi, lo);
+        else
+          res.push(lo);
+      }
+    } else if (enc === 'hex') {
+      msg = msg.replace(/[^a-z0-9]+/ig, '');
+      if (msg.length % 2 !== 0)
+        msg = '0' + msg;
+      for (i = 0; i < msg.length; i += 2)
+        res.push(parseInt(msg[i] + msg[i + 1], 16));
+    }
+  } else {
+    for (i = 0; i < msg.length; i++)
+      res[i] = msg[i] | 0;
+  }
+  return res;
+}
+exports.toArray = toArray;
+
+function toHex(msg) {
+  var res = '';
+  for (var i = 0; i < msg.length; i++)
+    res += zero2(msg[i].toString(16));
+  return res;
+}
+exports.toHex = toHex;
+
+function htonl(w) {
+  var res = (w >>> 24) |
+            ((w >>> 8) & 0xff00) |
+            ((w << 8) & 0xff0000) |
+            ((w & 0xff) << 24);
+  return res >>> 0;
+}
+exports.htonl = htonl;
+
+function toHex32(msg, endian) {
+  var res = '';
+  for (var i = 0; i < msg.length; i++) {
+    var w = msg[i];
+    if (endian === 'little')
+      w = htonl(w);
+    res += zero8(w.toString(16));
+  }
+  return res;
+}
+exports.toHex32 = toHex32;
+
+function zero2(word) {
+  if (word.length === 1)
+    return '0' + word;
+  else
+    return word;
+}
+exports.zero2 = zero2;
+
+function zero8(word) {
+  if (word.length === 7)
+    return '0' + word;
+  else if (word.length === 6)
+    return '00' + word;
+  else if (word.length === 5)
+    return '000' + word;
+  else if (word.length === 4)
+    return '0000' + word;
+  else if (word.length === 3)
+    return '00000' + word;
+  else if (word.length === 2)
+    return '000000' + word;
+  else if (word.length === 1)
+    return '0000000' + word;
+  else
+    return word;
+}
+exports.zero8 = zero8;
+
+function join32(msg, start, end, endian) {
+  var len = end - start;
+  assert(len % 4 === 0);
+  var res = new Array(len / 4);
+  for (var i = 0, k = start; i < res.length; i++, k += 4) {
+    var w;
+    if (endian === 'big')
+      w = (msg[k] << 24) | (msg[k + 1] << 16) | (msg[k + 2] << 8) | msg[k + 3];
+    else
+      w = (msg[k + 3] << 24) | (msg[k + 2] << 16) | (msg[k + 1] << 8) | msg[k];
+    res[i] = w >>> 0;
+  }
+  return res;
+}
+exports.join32 = join32;
+
+function split32(msg, endian) {
+  var res = new Array(msg.length * 4);
+  for (var i = 0, k = 0; i < msg.length; i++, k += 4) {
+    var m = msg[i];
+    if (endian === 'big') {
+      res[k] = m >>> 24;
+      res[k + 1] = (m >>> 16) & 0xff;
+      res[k + 2] = (m >>> 8) & 0xff;
+      res[k + 3] = m & 0xff;
+    } else {
+      res[k + 3] = m >>> 24;
+      res[k + 2] = (m >>> 16) & 0xff;
+      res[k + 1] = (m >>> 8) & 0xff;
+      res[k] = m & 0xff;
+    }
+  }
+  return res;
+}
+exports.split32 = split32;
+
+function rotr32(w, b) {
+  return (w >>> b) | (w << (32 - b));
+}
+exports.rotr32 = rotr32;
+
+function rotl32(w, b) {
+  return (w << b) | (w >>> (32 - b));
+}
+exports.rotl32 = rotl32;
+
+function sum32(a, b) {
+  return (a + b) >>> 0;
+}
+exports.sum32 = sum32;
+
+function sum32_3(a, b, c) {
+  return (a + b + c) >>> 0;
+}
+exports.sum32_3 = sum32_3;
+
+function sum32_4(a, b, c, d) {
+  return (a + b + c + d) >>> 0;
+}
+exports.sum32_4 = sum32_4;
+
+function sum32_5(a, b, c, d, e) {
+  return (a + b + c + d + e) >>> 0;
+}
+exports.sum32_5 = sum32_5;
+
+function sum64(buf, pos, ah, al) {
+  var bh = buf[pos];
+  var bl = buf[pos + 1];
+
+  var lo = (al + bl) >>> 0;
+  var hi = (lo < al ? 1 : 0) + ah + bh;
+  buf[pos] = hi >>> 0;
+  buf[pos + 1] = lo;
+}
+exports.sum64 = sum64;
+
+function sum64_hi(ah, al, bh, bl) {
+  var lo = (al + bl) >>> 0;
+  var hi = (lo < al ? 1 : 0) + ah + bh;
+  return hi >>> 0;
+}
+exports.sum64_hi = sum64_hi;
+
+function sum64_lo(ah, al, bh, bl) {
+  var lo = al + bl;
+  return lo >>> 0;
+}
+exports.sum64_lo = sum64_lo;
+
+function sum64_4_hi(ah, al, bh, bl, ch, cl, dh, dl) {
+  var carry = 0;
+  var lo = al;
+  lo = (lo + bl) >>> 0;
+  carry += lo < al ? 1 : 0;
+  lo = (lo + cl) >>> 0;
+  carry += lo < cl ? 1 : 0;
+  lo = (lo + dl) >>> 0;
+  carry += lo < dl ? 1 : 0;
+
+  var hi = ah + bh + ch + dh + carry;
+  return hi >>> 0;
+}
+exports.sum64_4_hi = sum64_4_hi;
+
+function sum64_4_lo(ah, al, bh, bl, ch, cl, dh, dl) {
+  var lo = al + bl + cl + dl;
+  return lo >>> 0;
+}
+exports.sum64_4_lo = sum64_4_lo;
+
+function sum64_5_hi(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {
+  var carry = 0;
+  var lo = al;
+  lo = (lo + bl) >>> 0;
+  carry += lo < al ? 1 : 0;
+  lo = (lo + cl) >>> 0;
+  carry += lo < cl ? 1 : 0;
+  lo = (lo + dl) >>> 0;
+  carry += lo < dl ? 1 : 0;
+  lo = (lo + el) >>> 0;
+  carry += lo < el ? 1 : 0;
+
+  var hi = ah + bh + ch + dh + eh + carry;
+  return hi >>> 0;
+}
+exports.sum64_5_hi = sum64_5_hi;
+
+function sum64_5_lo(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {
+  var lo = al + bl + cl + dl + el;
+
+  return lo >>> 0;
+}
+exports.sum64_5_lo = sum64_5_lo;
+
+function rotr64_hi(ah, al, num) {
+  var r = (al << (32 - num)) | (ah >>> num);
+  return r >>> 0;
+}
+exports.rotr64_hi = rotr64_hi;
+
+function rotr64_lo(ah, al, num) {
+  var r = (ah << (32 - num)) | (al >>> num);
+  return r >>> 0;
+}
+exports.rotr64_lo = rotr64_lo;
+
+function shr64_hi(ah, al, num) {
+  return ah >>> num;
+}
+exports.shr64_hi = shr64_hi;
+
+function shr64_lo(ah, al, num) {
+  var r = (ah << (32 - num)) | (al >>> num);
+  return r >>> 0;
+}
+exports.shr64_lo = shr64_lo;
+
+},{"minimalistic-assert":163,"inherits":97}],179:[function(require,module,exports) {
+'use strict';
+
+var utils = require('./utils');
+var assert = require('minimalistic-assert');
+
+function BlockHash() {
+  this.pending = null;
+  this.pendingTotal = 0;
+  this.blockSize = this.constructor.blockSize;
+  this.outSize = this.constructor.outSize;
+  this.hmacStrength = this.constructor.hmacStrength;
+  this.padLength = this.constructor.padLength / 8;
+  this.endian = 'big';
+
+  this._delta8 = this.blockSize / 8;
+  this._delta32 = this.blockSize / 32;
+}
+exports.BlockHash = BlockHash;
+
+BlockHash.prototype.update = function update(msg, enc) {
+  // Convert message to array, pad it, and join into 32bit blocks
+  msg = utils.toArray(msg, enc);
+  if (!this.pending)
+    this.pending = msg;
+  else
+    this.pending = this.pending.concat(msg);
+  this.pendingTotal += msg.length;
+
+  // Enough data, try updating
+  if (this.pending.length >= this._delta8) {
+    msg = this.pending;
+
+    // Process pending data in blocks
+    var r = msg.length % this._delta8;
+    this.pending = msg.slice(msg.length - r, msg.length);
+    if (this.pending.length === 0)
+      this.pending = null;
+
+    msg = utils.join32(msg, 0, msg.length - r, this.endian);
+    for (var i = 0; i < msg.length; i += this._delta32)
+      this._update(msg, i, i + this._delta32);
+  }
+
+  return this;
+};
+
+BlockHash.prototype.digest = function digest(enc) {
+  this.update(this._pad());
+  assert(this.pending === null);
+
+  return this._digest(enc);
+};
+
+BlockHash.prototype._pad = function pad() {
+  var len = this.pendingTotal;
+  var bytes = this._delta8;
+  var k = bytes - ((len + this.padLength) % bytes);
+  var res = new Array(k + this.padLength);
+  res[0] = 0x80;
+  for (var i = 1; i < k; i++)
+    res[i] = 0;
+
+  // Append length
+  len <<= 3;
+  if (this.endian === 'big') {
+    for (var t = 8; t < this.padLength; t++)
+      res[i++] = 0;
+
+    res[i++] = 0;
+    res[i++] = 0;
+    res[i++] = 0;
+    res[i++] = 0;
+    res[i++] = (len >>> 24) & 0xff;
+    res[i++] = (len >>> 16) & 0xff;
+    res[i++] = (len >>> 8) & 0xff;
+    res[i++] = len & 0xff;
+  } else {
+    res[i++] = len & 0xff;
+    res[i++] = (len >>> 8) & 0xff;
+    res[i++] = (len >>> 16) & 0xff;
+    res[i++] = (len >>> 24) & 0xff;
+    res[i++] = 0;
+    res[i++] = 0;
+    res[i++] = 0;
+    res[i++] = 0;
+
+    for (t = 8; t < this.padLength; t++)
+      res[i++] = 0;
+  }
+
+  return res;
+};
+
+},{"./utils":178,"minimalistic-assert":163}],206:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+var rotr32 = utils.rotr32;
+
+function ft_1(s, x, y, z) {
+  if (s === 0)
+    return ch32(x, y, z);
+  if (s === 1 || s === 3)
+    return p32(x, y, z);
+  if (s === 2)
+    return maj32(x, y, z);
+}
+exports.ft_1 = ft_1;
+
+function ch32(x, y, z) {
+  return (x & y) ^ ((~x) & z);
+}
+exports.ch32 = ch32;
+
+function maj32(x, y, z) {
+  return (x & y) ^ (x & z) ^ (y & z);
+}
+exports.maj32 = maj32;
+
+function p32(x, y, z) {
+  return x ^ y ^ z;
+}
+exports.p32 = p32;
+
+function s0_256(x) {
+  return rotr32(x, 2) ^ rotr32(x, 13) ^ rotr32(x, 22);
+}
+exports.s0_256 = s0_256;
+
+function s1_256(x) {
+  return rotr32(x, 6) ^ rotr32(x, 11) ^ rotr32(x, 25);
+}
+exports.s1_256 = s1_256;
+
+function g0_256(x) {
+  return rotr32(x, 7) ^ rotr32(x, 18) ^ (x >>> 3);
+}
+exports.g0_256 = g0_256;
+
+function g1_256(x) {
+  return rotr32(x, 17) ^ rotr32(x, 19) ^ (x >>> 10);
+}
+exports.g1_256 = g1_256;
+
+},{"../utils":178}],190:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+var common = require('../common');
+var shaCommon = require('./common');
+
+var rotl32 = utils.rotl32;
+var sum32 = utils.sum32;
+var sum32_5 = utils.sum32_5;
+var ft_1 = shaCommon.ft_1;
+var BlockHash = common.BlockHash;
+
+var sha1_K = [
+  0x5A827999, 0x6ED9EBA1,
+  0x8F1BBCDC, 0xCA62C1D6
+];
+
+function SHA1() {
+  if (!(this instanceof SHA1))
+    return new SHA1();
+
+  BlockHash.call(this);
+  this.h = [
+    0x67452301, 0xefcdab89, 0x98badcfe,
+    0x10325476, 0xc3d2e1f0 ];
+  this.W = new Array(80);
+}
+
+utils.inherits(SHA1, BlockHash);
+module.exports = SHA1;
+
+SHA1.blockSize = 512;
+SHA1.outSize = 160;
+SHA1.hmacStrength = 80;
+SHA1.padLength = 64;
+
+SHA1.prototype._update = function _update(msg, start) {
+  var W = this.W;
+
+  for (var i = 0; i < 16; i++)
+    W[i] = msg[start + i];
+
+  for(; i < W.length; i++)
+    W[i] = rotl32(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16], 1);
+
+  var a = this.h[0];
+  var b = this.h[1];
+  var c = this.h[2];
+  var d = this.h[3];
+  var e = this.h[4];
+
+  for (i = 0; i < W.length; i++) {
+    var s = ~~(i / 20);
+    var t = sum32_5(rotl32(a, 5), ft_1(s, b, c, d), e, W[i], sha1_K[s]);
+    e = d;
+    d = c;
+    c = rotl32(b, 30);
+    b = a;
+    a = t;
+  }
+
+  this.h[0] = sum32(this.h[0], a);
+  this.h[1] = sum32(this.h[1], b);
+  this.h[2] = sum32(this.h[2], c);
+  this.h[3] = sum32(this.h[3], d);
+  this.h[4] = sum32(this.h[4], e);
+};
+
+SHA1.prototype._digest = function digest(enc) {
+  if (enc === 'hex')
+    return utils.toHex32(this.h, 'big');
+  else
+    return utils.split32(this.h, 'big');
+};
+
+},{"../utils":178,"../common":179,"./common":206}],192:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+var common = require('../common');
+var shaCommon = require('./common');
+var assert = require('minimalistic-assert');
+
+var sum32 = utils.sum32;
+var sum32_4 = utils.sum32_4;
+var sum32_5 = utils.sum32_5;
+var ch32 = shaCommon.ch32;
+var maj32 = shaCommon.maj32;
+var s0_256 = shaCommon.s0_256;
+var s1_256 = shaCommon.s1_256;
+var g0_256 = shaCommon.g0_256;
+var g1_256 = shaCommon.g1_256;
+
+var BlockHash = common.BlockHash;
+
+var sha256_K = [
+  0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5,
+  0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,
+  0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3,
+  0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,
+  0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc,
+  0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,
+  0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7,
+  0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,
+  0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13,
+  0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,
+  0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3,
+  0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,
+  0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5,
+  0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,
+  0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208,
+  0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2
+];
+
+function SHA256() {
+  if (!(this instanceof SHA256))
+    return new SHA256();
+
+  BlockHash.call(this);
+  this.h = [
+    0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,
+    0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19
+  ];
+  this.k = sha256_K;
+  this.W = new Array(64);
+}
+utils.inherits(SHA256, BlockHash);
+module.exports = SHA256;
+
+SHA256.blockSize = 512;
+SHA256.outSize = 256;
+SHA256.hmacStrength = 192;
+SHA256.padLength = 64;
+
+SHA256.prototype._update = function _update(msg, start) {
+  var W = this.W;
+
+  for (var i = 0; i < 16; i++)
+    W[i] = msg[start + i];
+  for (; i < W.length; i++)
+    W[i] = sum32_4(g1_256(W[i - 2]), W[i - 7], g0_256(W[i - 15]), W[i - 16]);
+
+  var a = this.h[0];
+  var b = this.h[1];
+  var c = this.h[2];
+  var d = this.h[3];
+  var e = this.h[4];
+  var f = this.h[5];
+  var g = this.h[6];
+  var h = this.h[7];
+
+  assert(this.k.length === W.length);
+  for (i = 0; i < W.length; i++) {
+    var T1 = sum32_5(h, s1_256(e), ch32(e, f, g), this.k[i], W[i]);
+    var T2 = sum32(s0_256(a), maj32(a, b, c));
+    h = g;
+    g = f;
+    f = e;
+    e = sum32(d, T1);
+    d = c;
+    c = b;
+    b = a;
+    a = sum32(T1, T2);
+  }
+
+  this.h[0] = sum32(this.h[0], a);
+  this.h[1] = sum32(this.h[1], b);
+  this.h[2] = sum32(this.h[2], c);
+  this.h[3] = sum32(this.h[3], d);
+  this.h[4] = sum32(this.h[4], e);
+  this.h[5] = sum32(this.h[5], f);
+  this.h[6] = sum32(this.h[6], g);
+  this.h[7] = sum32(this.h[7], h);
+};
+
+SHA256.prototype._digest = function digest(enc) {
+  if (enc === 'hex')
+    return utils.toHex32(this.h, 'big');
+  else
+    return utils.split32(this.h, 'big');
+};
+
+},{"../utils":178,"../common":179,"./common":206,"minimalistic-assert":163}],191:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+var SHA256 = require('./256');
+
+function SHA224() {
+  if (!(this instanceof SHA224))
+    return new SHA224();
+
+  SHA256.call(this);
+  this.h = [
+    0xc1059ed8, 0x367cd507, 0x3070dd17, 0xf70e5939,
+    0xffc00b31, 0x68581511, 0x64f98fa7, 0xbefa4fa4 ];
+}
+utils.inherits(SHA224, SHA256);
+module.exports = SHA224;
+
+SHA224.blockSize = 512;
+SHA224.outSize = 224;
+SHA224.hmacStrength = 192;
+SHA224.padLength = 64;
+
+SHA224.prototype._digest = function digest(enc) {
+  // Just truncate output
+  if (enc === 'hex')
+    return utils.toHex32(this.h.slice(0, 7), 'big');
+  else
+    return utils.split32(this.h.slice(0, 7), 'big');
+};
+
+
+},{"../utils":178,"./256":192}],194:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+var common = require('../common');
+var assert = require('minimalistic-assert');
+
+var rotr64_hi = utils.rotr64_hi;
+var rotr64_lo = utils.rotr64_lo;
+var shr64_hi = utils.shr64_hi;
+var shr64_lo = utils.shr64_lo;
+var sum64 = utils.sum64;
+var sum64_hi = utils.sum64_hi;
+var sum64_lo = utils.sum64_lo;
+var sum64_4_hi = utils.sum64_4_hi;
+var sum64_4_lo = utils.sum64_4_lo;
+var sum64_5_hi = utils.sum64_5_hi;
+var sum64_5_lo = utils.sum64_5_lo;
+
+var BlockHash = common.BlockHash;
+
+var sha512_K = [
+  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,
+  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,
+  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,
+  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,
+  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,
+  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,
+  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,
+  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,
+  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,
+  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,
+  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,
+  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,
+  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,
+  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,
+  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,
+  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,
+  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,
+  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,
+  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,
+  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,
+  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,
+  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,
+  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,
+  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,
+  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,
+  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,
+  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,
+  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,
+  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,
+  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,
+  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,
+  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,
+  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,
+  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,
+  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,
+  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,
+  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,
+  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,
+  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,
+  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817
+];
+
+function SHA512() {
+  if (!(this instanceof SHA512))
+    return new SHA512();
+
+  BlockHash.call(this);
+  this.h = [
+    0x6a09e667, 0xf3bcc908,
+    0xbb67ae85, 0x84caa73b,
+    0x3c6ef372, 0xfe94f82b,
+    0xa54ff53a, 0x5f1d36f1,
+    0x510e527f, 0xade682d1,
+    0x9b05688c, 0x2b3e6c1f,
+    0x1f83d9ab, 0xfb41bd6b,
+    0x5be0cd19, 0x137e2179 ];
+  this.k = sha512_K;
+  this.W = new Array(160);
+}
+utils.inherits(SHA512, BlockHash);
+module.exports = SHA512;
+
+SHA512.blockSize = 1024;
+SHA512.outSize = 512;
+SHA512.hmacStrength = 192;
+SHA512.padLength = 128;
+
+SHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {
+  var W = this.W;
+
+  // 32 x 32bit words
+  for (var i = 0; i < 32; i++)
+    W[i] = msg[start + i];
+  for (; i < W.length; i += 2) {
+    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2
+    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);
+    var c1_hi = W[i - 14];  // i - 7
+    var c1_lo = W[i - 13];
+    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15
+    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);
+    var c3_hi = W[i - 32];  // i - 16
+    var c3_lo = W[i - 31];
+
+    W[i] = sum64_4_hi(
+      c0_hi, c0_lo,
+      c1_hi, c1_lo,
+      c2_hi, c2_lo,
+      c3_hi, c3_lo);
+    W[i + 1] = sum64_4_lo(
+      c0_hi, c0_lo,
+      c1_hi, c1_lo,
+      c2_hi, c2_lo,
+      c3_hi, c3_lo);
+  }
+};
+
+SHA512.prototype._update = function _update(msg, start) {
+  this._prepareBlock(msg, start);
+
+  var W = this.W;
+
+  var ah = this.h[0];
+  var al = this.h[1];
+  var bh = this.h[2];
+  var bl = this.h[3];
+  var ch = this.h[4];
+  var cl = this.h[5];
+  var dh = this.h[6];
+  var dl = this.h[7];
+  var eh = this.h[8];
+  var el = this.h[9];
+  var fh = this.h[10];
+  var fl = this.h[11];
+  var gh = this.h[12];
+  var gl = this.h[13];
+  var hh = this.h[14];
+  var hl = this.h[15];
+
+  assert(this.k.length === W.length);
+  for (var i = 0; i < W.length; i += 2) {
+    var c0_hi = hh;
+    var c0_lo = hl;
+    var c1_hi = s1_512_hi(eh, el);
+    var c1_lo = s1_512_lo(eh, el);
+    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);
+    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);
+    var c3_hi = this.k[i];
+    var c3_lo = this.k[i + 1];
+    var c4_hi = W[i];
+    var c4_lo = W[i + 1];
+
+    var T1_hi = sum64_5_hi(
+      c0_hi, c0_lo,
+      c1_hi, c1_lo,
+      c2_hi, c2_lo,
+      c3_hi, c3_lo,
+      c4_hi, c4_lo);
+    var T1_lo = sum64_5_lo(
+      c0_hi, c0_lo,
+      c1_hi, c1_lo,
+      c2_hi, c2_lo,
+      c3_hi, c3_lo,
+      c4_hi, c4_lo);
+
+    c0_hi = s0_512_hi(ah, al);
+    c0_lo = s0_512_lo(ah, al);
+    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);
+    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);
+
+    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);
+    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);
+
+    hh = gh;
+    hl = gl;
+
+    gh = fh;
+    gl = fl;
+
+    fh = eh;
+    fl = el;
+
+    eh = sum64_hi(dh, dl, T1_hi, T1_lo);
+    el = sum64_lo(dl, dl, T1_hi, T1_lo);
+
+    dh = ch;
+    dl = cl;
+
+    ch = bh;
+    cl = bl;
+
+    bh = ah;
+    bl = al;
+
+    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);
+    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);
+  }
+
+  sum64(this.h, 0, ah, al);
+  sum64(this.h, 2, bh, bl);
+  sum64(this.h, 4, ch, cl);
+  sum64(this.h, 6, dh, dl);
+  sum64(this.h, 8, eh, el);
+  sum64(this.h, 10, fh, fl);
+  sum64(this.h, 12, gh, gl);
+  sum64(this.h, 14, hh, hl);
+};
+
+SHA512.prototype._digest = function digest(enc) {
+  if (enc === 'hex')
+    return utils.toHex32(this.h, 'big');
+  else
+    return utils.split32(this.h, 'big');
+};
+
+function ch64_hi(xh, xl, yh, yl, zh) {
+  var r = (xh & yh) ^ ((~xh) & zh);
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function ch64_lo(xh, xl, yh, yl, zh, zl) {
+  var r = (xl & yl) ^ ((~xl) & zl);
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function maj64_hi(xh, xl, yh, yl, zh) {
+  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function maj64_lo(xh, xl, yh, yl, zh, zl) {
+  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function s0_512_hi(xh, xl) {
+  var c0_hi = rotr64_hi(xh, xl, 28);
+  var c1_hi = rotr64_hi(xl, xh, 2);  // 34
+  var c2_hi = rotr64_hi(xl, xh, 7);  // 39
+
+  var r = c0_hi ^ c1_hi ^ c2_hi;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function s0_512_lo(xh, xl) {
+  var c0_lo = rotr64_lo(xh, xl, 28);
+  var c1_lo = rotr64_lo(xl, xh, 2);  // 34
+  var c2_lo = rotr64_lo(xl, xh, 7);  // 39
+
+  var r = c0_lo ^ c1_lo ^ c2_lo;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function s1_512_hi(xh, xl) {
+  var c0_hi = rotr64_hi(xh, xl, 14);
+  var c1_hi = rotr64_hi(xh, xl, 18);
+  var c2_hi = rotr64_hi(xl, xh, 9);  // 41
+
+  var r = c0_hi ^ c1_hi ^ c2_hi;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function s1_512_lo(xh, xl) {
+  var c0_lo = rotr64_lo(xh, xl, 14);
+  var c1_lo = rotr64_lo(xh, xl, 18);
+  var c2_lo = rotr64_lo(xl, xh, 9);  // 41
+
+  var r = c0_lo ^ c1_lo ^ c2_lo;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function g0_512_hi(xh, xl) {
+  var c0_hi = rotr64_hi(xh, xl, 1);
+  var c1_hi = rotr64_hi(xh, xl, 8);
+  var c2_hi = shr64_hi(xh, xl, 7);
+
+  var r = c0_hi ^ c1_hi ^ c2_hi;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function g0_512_lo(xh, xl) {
+  var c0_lo = rotr64_lo(xh, xl, 1);
+  var c1_lo = rotr64_lo(xh, xl, 8);
+  var c2_lo = shr64_lo(xh, xl, 7);
+
+  var r = c0_lo ^ c1_lo ^ c2_lo;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function g1_512_hi(xh, xl) {
+  var c0_hi = rotr64_hi(xh, xl, 19);
+  var c1_hi = rotr64_hi(xl, xh, 29);  // 61
+  var c2_hi = shr64_hi(xh, xl, 6);
+
+  var r = c0_hi ^ c1_hi ^ c2_hi;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+function g1_512_lo(xh, xl) {
+  var c0_lo = rotr64_lo(xh, xl, 19);
+  var c1_lo = rotr64_lo(xl, xh, 29);  // 61
+  var c2_lo = shr64_lo(xh, xl, 6);
+
+  var r = c0_lo ^ c1_lo ^ c2_lo;
+  if (r < 0)
+    r += 0x100000000;
+  return r;
+}
+
+},{"../utils":178,"../common":179,"minimalistic-assert":163}],193:[function(require,module,exports) {
+'use strict';
+
+var utils = require('../utils');
+
+var SHA512 = require('./512');
+
+function SHA384() {
+  if (!(this instanceof SHA384))
+    return new SHA384();
+
+  SHA512.call(this);
+  this.h = [
+    0xcbbb9d5d, 0xc1059ed8,
+    0x629a292a, 0x367cd507,
+    0x9159015a, 0x3070dd17,
+    0x152fecd8, 0xf70e5939,
+    0x67332667, 0xffc00b31,
+    0x8eb44a87, 0x68581511,
+    0xdb0c2e0d, 0x64f98fa7,
+    0x47b5481d, 0xbefa4fa4 ];
+}
+utils.inherits(SHA384, SHA512);
+module.exports = SHA384;
+
+SHA384.blockSize = 1024;
+SHA384.outSize = 384;
+SHA384.hmacStrength = 192;
+SHA384.padLength = 128;
+
+SHA384.prototype._digest = function digest(enc) {
+  if (enc === 'hex')
+    return utils.toHex32(this.h.slice(0, 12), 'big');
+  else
+    return utils.split32(this.h.slice(0, 12), 'big');
+};
+
+},{"../utils":178,"./512":194}],180:[function(require,module,exports) {
+'use strict';
+
+exports.sha1 = require('./sha/1');
+exports.sha224 = require('./sha/224');
+exports.sha256 = require('./sha/256');
+exports.sha384 = require('./sha/384');
+exports.sha512 = require('./sha/512');
+
+},{"./sha/1":190,"./sha/224":191,"./sha/256":192,"./sha/384":193,"./sha/512":194}],181:[function(require,module,exports) {
+'use strict';
+
+var utils = require('./utils');
+var common = require('./common');
+
+var rotl32 = utils.rotl32;
+var sum32 = utils.sum32;
+var sum32_3 = utils.sum32_3;
+var sum32_4 = utils.sum32_4;
+var BlockHash = common.BlockHash;
+
+function RIPEMD160() {
+  if (!(this instanceof RIPEMD160))
+    return new RIPEMD160();
+
+  BlockHash.call(this);
+
+  this.h = [ 0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0 ];
+  this.endian = 'little';
+}
+utils.inherits(RIPEMD160, BlockHash);
+exports.ripemd160 = RIPEMD160;
+
+RIPEMD160.blockSize = 512;
+RIPEMD160.outSize = 160;
+RIPEMD160.hmacStrength = 192;
+RIPEMD160.padLength = 64;
+
+RIPEMD160.prototype._update = function update(msg, start) {
+  var A = this.h[0];
+  var B = this.h[1];
+  var C = this.h[2];
+  var D = this.h[3];
+  var E = this.h[4];
+  var Ah = A;
+  var Bh = B;
+  var Ch = C;
+  var Dh = D;
+  var Eh = E;
+  for (var j = 0; j < 80; j++) {
+    var T = sum32(
+      rotl32(
+        sum32_4(A, f(j, B, C, D), msg[r[j] + start], K(j)),
+        s[j]),
+      E);
+    A = E;
+    E = D;
+    D = rotl32(C, 10);
+    C = B;
+    B = T;
+    T = sum32(
+      rotl32(
+        sum32_4(Ah, f(79 - j, Bh, Ch, Dh), msg[rh[j] + start], Kh(j)),
+        sh[j]),
+      Eh);
+    Ah = Eh;
+    Eh = Dh;
+    Dh = rotl32(Ch, 10);
+    Ch = Bh;
+    Bh = T;
+  }
+  T = sum32_3(this.h[1], C, Dh);
+  this.h[1] = sum32_3(this.h[2], D, Eh);
+  this.h[2] = sum32_3(this.h[3], E, Ah);
+  this.h[3] = sum32_3(this.h[4], A, Bh);
+  this.h[4] = sum32_3(this.h[0], B, Ch);
+  this.h[0] = T;
+};
+
+RIPEMD160.prototype._digest = function digest(enc) {
+  if (enc === 'hex')
+    return utils.toHex32(this.h, 'little');
+  else
+    return utils.split32(this.h, 'little');
+};
+
+function f(j, x, y, z) {
+  if (j <= 15)
+    return x ^ y ^ z;
+  else if (j <= 31)
+    return (x & y) | ((~x) & z);
+  else if (j <= 47)
+    return (x | (~y)) ^ z;
+  else if (j <= 63)
+    return (x & z) | (y & (~z));
+  else
+    return x ^ (y | (~z));
+}
+
+function K(j) {
+  if (j <= 15)
+    return 0x00000000;
+  else if (j <= 31)
+    return 0x5a827999;
+  else if (j <= 47)
+    return 0x6ed9eba1;
+  else if (j <= 63)
+    return 0x8f1bbcdc;
+  else
+    return 0xa953fd4e;
+}
+
+function Kh(j) {
+  if (j <= 15)
+    return 0x50a28be6;
+  else if (j <= 31)
+    return 0x5c4dd124;
+  else if (j <= 47)
+    return 0x6d703ef3;
+  else if (j <= 63)
+    return 0x7a6d76e9;
+  else
+    return 0x00000000;
+}
+
+var r = [
+  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
+  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,
+  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,
+  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,
+  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13
+];
+
+var rh = [
+  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,
+  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,
+  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,
+  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,
+  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11
+];
+
+var s = [
+  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,
+  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,
+  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,
+  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,
+  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6
+];
+
+var sh = [
+  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,
+  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,
+  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,
+  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,
+  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11
+];
+
+},{"./utils":178,"./common":179}],182:[function(require,module,exports) {
+'use strict';
+
+var utils = require('./utils');
+var assert = require('minimalistic-assert');
+
+function Hmac(hash, key, enc) {
+  if (!(this instanceof Hmac))
+    return new Hmac(hash, key, enc);
+  this.Hash = hash;
+  this.blockSize = hash.blockSize / 8;
+  this.outSize = hash.outSize / 8;
+  this.inner = null;
+  this.outer = null;
+
+  this._init(utils.toArray(key, enc));
+}
+module.exports = Hmac;
+
+Hmac.prototype._init = function init(key) {
+  // Shorten key, if needed
+  if (key.length > this.blockSize)
+    key = new this.Hash().update(key).digest();
+  assert(key.length <= this.blockSize);
+
+  // Add padding to key
+  for (var i = key.length; i < this.blockSize; i++)
+    key.push(0);
+
+  for (i = 0; i < key.length; i++)
+    key[i] ^= 0x36;
+  this.inner = new this.Hash().update(key);
+
+  // 0x36 ^ 0x5c = 0x6a
+  for (i = 0; i < key.length; i++)
+    key[i] ^= 0x6a;
+  this.outer = new this.Hash().update(key);
+};
+
+Hmac.prototype.update = function update(msg, enc) {
+  this.inner.update(msg, enc);
+  return this;
+};
+
+Hmac.prototype.digest = function digest(enc) {
+  this.outer.update(this.inner.digest());
+  return this.outer.digest(enc);
+};
+
+},{"./utils":178,"minimalistic-assert":163}],166:[function(require,module,exports) {
+var hash = exports;
+
+hash.utils = require('./hash/utils');
+hash.common = require('./hash/common');
+hash.sha = require('./hash/sha');
+hash.ripemd = require('./hash/ripemd');
+hash.hmac = require('./hash/hmac');
+
+// Proxy hash functions to the main object
+hash.sha1 = hash.sha.sha1;
+hash.sha256 = hash.sha.sha256;
+hash.sha224 = hash.sha.sha224;
+hash.sha384 = hash.sha.sha384;
+hash.sha512 = hash.sha.sha512;
+hash.ripemd160 = hash.ripemd.ripemd160;
+
+},{"./hash/utils":178,"./hash/common":179,"./hash/sha":180,"./hash/ripemd":181,"./hash/hmac":182}],158:[function(require,module,exports) {
+module.exports = {
+  doubles: {
+    step: 4,
+    points: [
+      [
+        'e60fce93b59e9ec53011aabc21c23e97b2a31369b87a5ae9c44ee89e2a6dec0a',
+        'f7e3507399e595929db99f34f57937101296891e44d23f0be1f32cce69616821'
+      ],
+      [
+        '8282263212c609d9ea2a6e3e172de238d8c39cabd5ac1ca10646e23fd5f51508',
+        '11f8a8098557dfe45e8256e830b60ace62d613ac2f7b17bed31b6eaff6e26caf'
+      ],
+      [
+        '175e159f728b865a72f99cc6c6fc846de0b93833fd2222ed73fce5b551e5b739',
+        'd3506e0d9e3c79eba4ef97a51ff71f5eacb5955add24345c6efa6ffee9fed695'
+      ],
+      [
+        '363d90d447b00c9c99ceac05b6262ee053441c7e55552ffe526bad8f83ff4640',
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+        '5098ff1e1d9f14fb46a210fada6c903fef0fb7b4a1dd1d9ac60a0361800b7a00',
+        '9731141d81fc8f8084d37c6e7542006b3ee1b40d60dfe5362a5b132fd17ddc0'
+      ],
+      [
+        '32b78c7de9ee512a72895be6b9cbefa6e2f3c4ccce445c96b9f2c81e2778ad58',
+        'ee1849f513df71e32efc3896ee28260c73bb80547ae2275ba497237794c8753c'
+      ],
+      [
+        'e2cb74fddc8e9fbcd076eef2a7c72b0ce37d50f08269dfc074b581550547a4f7',
+        'd3aa2ed71c9dd2247a62df062736eb0baddea9e36122d2be8641abcb005cc4a4'
+      ],
+      [
+        '8438447566d4d7bedadc299496ab357426009a35f235cb141be0d99cd10ae3a8',
+        'c4e1020916980a4da5d01ac5e6ad330734ef0d7906631c4f2390426b2edd791f'
+      ],
+      [
+        '4162d488b89402039b584c6fc6c308870587d9c46f660b878ab65c82c711d67e',
+        '67163e903236289f776f22c25fb8a3afc1732f2b84b4e95dbda47ae5a0852649'
+      ],
+      [
+        '3fad3fa84caf0f34f0f89bfd2dcf54fc175d767aec3e50684f3ba4a4bf5f683d',
+        'cd1bc7cb6cc407bb2f0ca647c718a730cf71872e7d0d2a53fa20efcdfe61826'
+      ],
+      [
+        '674f2600a3007a00568c1a7ce05d0816c1fb84bf1370798f1c69532faeb1a86b',
+        '299d21f9413f33b3edf43b257004580b70db57da0b182259e09eecc69e0d38a5'
+      ],
+      [
+        'd32f4da54ade74abb81b815ad1fb3b263d82d6c692714bcff87d29bd5ee9f08f',
+        'f9429e738b8e53b968e99016c059707782e14f4535359d582fc416910b3eea87'
+      ],
+      [
+        '30e4e670435385556e593657135845d36fbb6931f72b08cb1ed954f1e3ce3ff6',
+        '462f9bce619898638499350113bbc9b10a878d35da70740dc695a559eb88db7b'
+      ],
+      [
+        'be2062003c51cc3004682904330e4dee7f3dcd10b01e580bf1971b04d4cad297',
+        '62188bc49d61e5428573d48a74e1c655b1c61090905682a0d5558ed72dccb9bc'
+      ],
+      [
+        '93144423ace3451ed29e0fb9ac2af211cb6e84a601df5993c419859fff5df04a',
+        '7c10dfb164c3425f5c71a3f9d7992038f1065224f72bb9d1d902a6d13037b47c'
+      ],
+      [
+        'b015f8044f5fcbdcf21ca26d6c34fb8197829205c7b7d2a7cb66418c157b112c',
+        'ab8c1e086d04e813744a655b2df8d5f83b3cdc6faa3088c1d3aea1454e3a1d5f'
+      ],
+      [
+        'd5e9e1da649d97d89e4868117a465a3a4f8a18de57a140d36b3f2af341a21b52',
+        '4cb04437f391ed73111a13cc1d4dd0db1693465c2240480d8955e8592f27447a'
+      ],
+      [
+        'd3ae41047dd7ca065dbf8ed77b992439983005cd72e16d6f996a5316d36966bb',
+        'bd1aeb21ad22ebb22a10f0303417c6d964f8cdd7df0aca614b10dc14d125ac46'
+      ],
+      [
+        '463e2763d885f958fc66cdd22800f0a487197d0a82e377b49f80af87c897b065',
+        'bfefacdb0e5d0fd7df3a311a94de062b26b80c61fbc97508b79992671ef7ca7f'
+      ],
+      [
+        '7985fdfd127c0567c6f53ec1bb63ec3158e597c40bfe747c83cddfc910641917',
+        '603c12daf3d9862ef2b25fe1de289aed24ed291e0ec6708703a5bd567f32ed03'
+      ],
+      [
+        '74a1ad6b5f76e39db2dd249410eac7f99e74c59cb83d2d0ed5ff1543da7703e9',
+        'cc6157ef18c9c63cd6193d83631bbea0093e0968942e8c33d5737fd790e0db08'
+      ],
+      [
+        '30682a50703375f602d416664ba19b7fc9bab42c72747463a71d0896b22f6da3',
+        '553e04f6b018b4fa6c8f39e7f311d3176290d0e0f19ca73f17714d9977a22ff8'
+      ],
+      [
+        '9e2158f0d7c0d5f26c3791efefa79597654e7a2b2464f52b1ee6c1347769ef57',
+        '712fcdd1b9053f09003a3481fa7762e9ffd7c8ef35a38509e2fbf2629008373'
+      ],
+      [
+        '176e26989a43c9cfeba4029c202538c28172e566e3c4fce7322857f3be327d66',
+        'ed8cc9d04b29eb877d270b4878dc43c19aefd31f4eee09ee7b47834c1fa4b1c3'
+      ],
+      [
+        '75d46efea3771e6e68abb89a13ad747ecf1892393dfc4f1b7004788c50374da8',
+        '9852390a99507679fd0b86fd2b39a868d7efc22151346e1a3ca4726586a6bed8'
+      ],
+      [
+        '809a20c67d64900ffb698c4c825f6d5f2310fb0451c869345b7319f645605721',
+        '9e994980d9917e22b76b061927fa04143d096ccc54963e6a5ebfa5f3f8e286c1'
+      ],
+      [
+        '1b38903a43f7f114ed4500b4eac7083fdefece1cf29c63528d563446f972c180',
+        '4036edc931a60ae889353f77fd53de4a2708b26b6f5da72ad3394119daf408f9'
+      ]
+    ]
+  }
+};
+
+},{}],127:[function(require,module,exports) {
+'use strict';
+
+var curves = exports;
+
+var hash = require('hash.js');
+var elliptic = require('../elliptic');
+
+var assert = elliptic.utils.assert;
+
+function PresetCurve(options) {
+  if (options.type === 'short')
+    this.curve = new elliptic.curve.short(options);
+  else if (options.type === 'edwards')
+    this.curve = new elliptic.curve.edwards(options);
+  else
+    this.curve = new elliptic.curve.mont(options);
+  this.g = this.curve.g;
+  this.n = this.curve.n;
+  this.hash = options.hash;
+
+  assert(this.g.validate(), 'Invalid curve');
+  assert(this.g.mul(this.n).isInfinity(), 'Invalid curve, G*N != O');
+}
+curves.PresetCurve = PresetCurve;
+
+function defineCurve(name, options) {
+  Object.defineProperty(curves, name, {
+    configurable: true,
+    enumerable: true,
+    get: function() {
+      var curve = new PresetCurve(options);
+      Object.defineProperty(curves, name, {
+        configurable: true,
+        enumerable: true,
+        value: curve
+      });
+      return curve;
+    }
+  });
+}
+
+defineCurve('p192', {
+  type: 'short',
+  prime: 'p192',
+  p: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff',
+  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc',
+  b: '64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1',
+  n: 'ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831',
+  hash: hash.sha256,
+  gRed: false,
+  g: [
+    '188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012',
+    '07192b95 ffc8da78 631011ed 6b24cdd5 73f977a1 1e794811'
+  ]
+});
+
+defineCurve('p224', {
+  type: 'short',
+  prime: 'p224',
+  p: 'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001',
+  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff fffffffe',
+  b: 'b4050a85 0c04b3ab f5413256 5044b0b7 d7bfd8ba 270b3943 2355ffb4',
+  n: 'ffffffff ffffffff ffffffff ffff16a2 e0b8f03e 13dd2945 5c5c2a3d',
+  hash: hash.sha256,
+  gRed: false,
+  g: [
+    'b70e0cbd 6bb4bf7f 321390b9 4a03c1d3 56c21122 343280d6 115c1d21',
+    'bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34'
+  ]
+});
+
+defineCurve('p256', {
+  type: 'short',
+  prime: null,
+  p: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff',
+  a: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc',
+  b: '5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b',
+  n: 'ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551',
+  hash: hash.sha256,
+  gRed: false,
+  g: [
+    '6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296',
+    '4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5'
+  ]
+});
+
+defineCurve('p384', {
+  type: 'short',
+  prime: null,
+  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'fffffffe ffffffff 00000000 00000000 ffffffff',
+  a: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'fffffffe ffffffff 00000000 00000000 fffffffc',
+  b: 'b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f ' +
+     '5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef',
+  n: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 ' +
+     'f4372ddf 581a0db2 48b0a77a ecec196a ccc52973',
+  hash: hash.sha384,
+  gRed: false,
+  g: [
+    'aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 ' +
+    '5502f25d bf55296c 3a545e38 72760ab7',
+    '3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 ' +
+    '0a60b1ce 1d7e819d 7a431d7c 90ea0e5f'
+  ]
+});
+
+defineCurve('p521', {
+  type: 'short',
+  prime: null,
+  p: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'ffffffff ffffffff ffffffff ffffffff ffffffff',
+  a: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'ffffffff ffffffff ffffffff ffffffff fffffffc',
+  b: '00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b ' +
+     '99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd ' +
+     '3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00',
+  n: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +
+     'ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 ' +
+     'f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409',
+  hash: hash.sha512,
+  gRed: false,
+  g: [
+    '000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 ' +
+    '053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 ' +
+    'a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66',
+    '00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 ' +
+    '579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 ' +
+    '3fad0761 353c7086 a272c240 88be9476 9fd16650'
+  ]
+});
+
+defineCurve('curve25519', {
+  type: 'mont',
+  prime: 'p25519',
+  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',
+  a: '76d06',
+  b: '1',
+  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',
+  hash: hash.sha256,
+  gRed: false,
+  g: [
+    '9'
+  ]
+});
+
+defineCurve('ed25519', {
+  type: 'edwards',
+  prime: 'p25519',
+  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',
+  a: '-1',
+  c: '1',
+  // -121665 * (121666^(-1)) (mod P)
+  d: '52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3',
+  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',
+  hash: hash.sha256,
+  gRed: false,
+  g: [
+    '216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a',
+
+    // 4/5
+    '6666666666666666666666666666666666666666666666666666666666666658'
+  ]
+});
+
+var pre;
+try {
+  pre = require('./precomputed/secp256k1');
+} catch (e) {
+  pre = undefined;
+}
+
+defineCurve('secp256k1', {
+  type: 'short',
+  prime: 'k256',
+  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f',
+  a: '0',
+  b: '7',
+  n: 'ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c d0364141',
+  h: '1',
+  hash: hash.sha256,
+
+  // Precomputed endomorphism
+  beta: '7ae96a2b657c07106e64479eac3434e99cf0497512f58995c1396c28719501ee',
+  lambda: '5363ad4cc05c30e0a5261c028812645a122e22ea20816678df02967c1b23bd72',
+  basis: [
+    {
+      a: '3086d221a7d46bcde86c90e49284eb15',
+      b: '-e4437ed6010e88286f547fa90abfe4c3'
+    },
+    {
+      a: '114ca50f7a8e2f3f657c1108d9d44cfd8',
+      b: '3086d221a7d46bcde86c90e49284eb15'
+    }
+  ],
+
+  gRed: false,
+  g: [
+    '79be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798',
+    '483ada7726a3c4655da4fbfc0e1108a8fd17b448a68554199c47d08ffb10d4b8',
+    pre
+  ]
+});
+
+},{"hash.js":166,"../elliptic":108,"./precomputed/secp256k1":158}],205:[function(require,module,exports) {
+'use strict';
+
+var hash = require('hash.js');
+var utils = require('minimalistic-crypto-utils');
+var assert = require('minimalistic-assert');
+
+function HmacDRBG(options) {
+  if (!(this instanceof HmacDRBG))
+    return new HmacDRBG(options);
+  this.hash = options.hash;
+  this.predResist = !!options.predResist;
+
+  this.outLen = this.hash.outSize;
+  this.minEntropy = options.minEntropy || this.hash.hmacStrength;
+
+  this._reseed = null;
+  this.reseedInterval = null;
+  this.K = null;
+  this.V = null;
+
+  var entropy = utils.toArray(options.entropy, options.entropyEnc || 'hex');
+  var nonce = utils.toArray(options.nonce, options.nonceEnc || 'hex');
+  var pers = utils.toArray(options.pers, options.persEnc || 'hex');
+  assert(entropy.length >= (this.minEntropy / 8),
+         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');
+  this._init(entropy, nonce, pers);
+}
+module.exports = HmacDRBG;
+
+HmacDRBG.prototype._init = function init(entropy, nonce, pers) {
+  var seed = entropy.concat(nonce).concat(pers);
+
+  this.K = new Array(this.outLen / 8);
+  this.V = new Array(this.outLen / 8);
+  for (var i = 0; i < this.V.length; i++) {
+    this.K[i] = 0x00;
+    this.V[i] = 0x01;
+  }
+
+  this._update(seed);
+  this._reseed = 1;
+  this.reseedInterval = 0x1000000000000;  // 2^48
+};
+
+HmacDRBG.prototype._hmac = function hmac() {
+  return new hash.hmac(this.hash, this.K);
+};
+
+HmacDRBG.prototype._update = function update(seed) {
+  var kmac = this._hmac()
+                 .update(this.V)
+                 .update([ 0x00 ]);
+  if (seed)
+    kmac = kmac.update(seed);
+  this.K = kmac.digest();
+  this.V = this._hmac().update(this.V).digest();
+  if (!seed)
+    return;
+
+  this.K = this._hmac()
+               .update(this.V)
+               .update([ 0x01 ])
+               .update(seed)
+               .digest();
+  this.V = this._hmac().update(this.V).digest();
+};
+
+HmacDRBG.prototype.reseed = function reseed(entropy, entropyEnc, add, addEnc) {
+  // Optional entropy enc
+  if (typeof entropyEnc !== 'string') {
+    addEnc = add;
+    add = entropyEnc;
+    entropyEnc = null;
+  }
+
+  entropy = utils.toArray(entropy, entropyEnc);
+  add = utils.toArray(add, addEnc);
+
+  assert(entropy.length >= (this.minEntropy / 8),
+         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');
+
+  this._update(entropy.concat(add || []));
+  this._reseed = 1;
+};
+
+HmacDRBG.prototype.generate = function generate(len, enc, add, addEnc) {
+  if (this._reseed > this.reseedInterval)
+    throw new Error('Reseed is required');
+
+  // Optional encoding
+  if (typeof enc !== 'string') {
+    addEnc = add;
+    add = enc;
+    enc = null;
+  }
+
+  // Optional additional data
+  if (add) {
+    add = utils.toArray(add, addEnc || 'hex');
+    this._update(add);
+  }
+
+  var temp = [];
+  while (temp.length < len) {
+    this.V = this._hmac().update(this.V).digest();
+    temp = temp.concat(this.V);
+  }
+
+  var res = temp.slice(0, len);
+  this._update(add);
+  this._reseed++;
+  return utils.encode(res, enc);
+};
+
+},{"hash.js":166,"minimalistic-crypto-utils":164,"minimalistic-assert":163}],203:[function(require,module,exports) {
+'use strict';
+
+var BN = require('bn.js');
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+
+function KeyPair(ec, options) {
+  this.ec = ec;
+  this.priv = null;
+  this.pub = null;
+
+  // KeyPair(ec, { priv: ..., pub: ... })
+  if (options.priv)
+    this._importPrivate(options.priv, options.privEnc);
+  if (options.pub)
+    this._importPublic(options.pub, options.pubEnc);
+}
+module.exports = KeyPair;
+
+KeyPair.fromPublic = function fromPublic(ec, pub, enc) {
+  if (pub instanceof KeyPair)
+    return pub;
+
+  return new KeyPair(ec, {
+    pub: pub,
+    pubEnc: enc
+  });
+};
+
+KeyPair.fromPrivate = function fromPrivate(ec, priv, enc) {
+  if (priv instanceof KeyPair)
+    return priv;
+
+  return new KeyPair(ec, {
+    priv: priv,
+    privEnc: enc
+  });
+};
+
+KeyPair.prototype.validate = function validate() {
+  var pub = this.getPublic();
+
+  if (pub.isInfinity())
+    return { result: false, reason: 'Invalid public key' };
+  if (!pub.validate())
+    return { result: false, reason: 'Public key is not a point' };
+  if (!pub.mul(this.ec.curve.n).isInfinity())
+    return { result: false, reason: 'Public key * N != O' };
+
+  return { result: true, reason: null };
+};
+
+KeyPair.prototype.getPublic = function getPublic(compact, enc) {
+  // compact is optional argument
+  if (typeof compact === 'string') {
+    enc = compact;
+    compact = null;
+  }
+
+  if (!this.pub)
+    this.pub = this.ec.g.mul(this.priv);
+
+  if (!enc)
+    return this.pub;
+
+  return this.pub.encode(enc, compact);
+};
+
+KeyPair.prototype.getPrivate = function getPrivate(enc) {
+  if (enc === 'hex')
+    return this.priv.toString(16, 2);
+  else
+    return this.priv;
+};
+
+KeyPair.prototype._importPrivate = function _importPrivate(key, enc) {
+  this.priv = new BN(key, enc || 16);
+
+  // Ensure that the priv won't be bigger than n, otherwise we may fail
+  // in fixed multiplication method
+  this.priv = this.priv.umod(this.ec.curve.n);
+};
+
+KeyPair.prototype._importPublic = function _importPublic(key, enc) {
+  if (key.x || key.y) {
+    // Montgomery points only have an `x` coordinate.
+    // Weierstrass/Edwards points on the other hand have both `x` and
+    // `y` coordinates.
+    if (this.ec.curve.type === 'mont') {
+      assert(key.x, 'Need x coordinate');
+    } else if (this.ec.curve.type === 'short' ||
+               this.ec.curve.type === 'edwards') {
+      assert(key.x && key.y, 'Need both x and y coordinate');
+    }
+    this.pub = this.ec.curve.point(key.x, key.y);
+    return;
+  }
+  this.pub = this.ec.curve.decodePoint(key, enc);
+};
+
+// ECDH
+KeyPair.prototype.derive = function derive(pub) {
+  return pub.mul(this.priv).getX();
+};
+
+// ECDSA
+KeyPair.prototype.sign = function sign(msg, enc, options) {
+  return this.ec.sign(msg, this, enc, options);
+};
+
+KeyPair.prototype.verify = function verify(msg, signature) {
+  return this.ec.verify(msg, signature, this);
+};
+
+KeyPair.prototype.inspect = function inspect() {
+  return '<Key priv: ' + (this.priv && this.priv.toString(16, 2)) +
+         ' pub: ' + (this.pub && this.pub.inspect()) + ' >';
+};
+
+},{"bn.js":109,"../../elliptic":108}],204:[function(require,module,exports) {
+'use strict';
+
+var BN = require('bn.js');
+
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+
+function Signature(options, enc) {
+  if (options instanceof Signature)
+    return options;
+
+  if (this._importDER(options, enc))
+    return;
+
+  assert(options.r && options.s, 'Signature without r or s');
+  this.r = new BN(options.r, 16);
+  this.s = new BN(options.s, 16);
+  if (options.recoveryParam === undefined)
+    this.recoveryParam = null;
+  else
+    this.recoveryParam = options.recoveryParam;
+}
+module.exports = Signature;
+
+function Position() {
+  this.place = 0;
+}
+
+function getLength(buf, p) {
+  var initial = buf[p.place++];
+  if (!(initial & 0x80)) {
+    return initial;
+  }
+  var octetLen = initial & 0xf;
+  var val = 0;
+  for (var i = 0, off = p.place; i < octetLen; i++, off++) {
+    val <<= 8;
+    val |= buf[off];
+  }
+  p.place = off;
+  return val;
+}
+
+function rmPadding(buf) {
+  var i = 0;
+  var len = buf.length - 1;
+  while (!buf[i] && !(buf[i + 1] & 0x80) && i < len) {
+    i++;
+  }
+  if (i === 0) {
+    return buf;
+  }
+  return buf.slice(i);
+}
+
+Signature.prototype._importDER = function _importDER(data, enc) {
+  data = utils.toArray(data, enc);
+  var p = new Position();
+  if (data[p.place++] !== 0x30) {
+    return false;
+  }
+  var len = getLength(data, p);
+  if ((len + p.place) !== data.length) {
+    return false;
+  }
+  if (data[p.place++] !== 0x02) {
+    return false;
+  }
+  var rlen = getLength(data, p);
+  var r = data.slice(p.place, rlen + p.place);
+  p.place += rlen;
+  if (data[p.place++] !== 0x02) {
+    return false;
+  }
+  var slen = getLength(data, p);
+  if (data.length !== slen + p.place) {
+    return false;
+  }
+  var s = data.slice(p.place, slen + p.place);
+  if (r[0] === 0 && (r[1] & 0x80)) {
+    r = r.slice(1);
+  }
+  if (s[0] === 0 && (s[1] & 0x80)) {
+    s = s.slice(1);
+  }
+
+  this.r = new BN(r);
+  this.s = new BN(s);
+  this.recoveryParam = null;
+
+  return true;
+};
+
+function constructLength(arr, len) {
+  if (len < 0x80) {
+    arr.push(len);
+    return;
+  }
+  var octets = 1 + (Math.log(len) / Math.LN2 >>> 3);
+  arr.push(octets | 0x80);
+  while (--octets) {
+    arr.push((len >>> (octets << 3)) & 0xff);
+  }
+  arr.push(len);
+}
+
+Signature.prototype.toDER = function toDER(enc) {
+  var r = this.r.toArray();
+  var s = this.s.toArray();
+
+  // Pad values
+  if (r[0] & 0x80)
+    r = [ 0 ].concat(r);
+  // Pad values
+  if (s[0] & 0x80)
+    s = [ 0 ].concat(s);
+
+  r = rmPadding(r);
+  s = rmPadding(s);
+
+  while (!s[0] && !(s[1] & 0x80)) {
+    s = s.slice(1);
+  }
+  var arr = [ 0x02 ];
+  constructLength(arr, r.length);
+  arr = arr.concat(r);
+  arr.push(0x02);
+  constructLength(arr, s.length);
+  var backHalf = arr.concat(s);
+  var res = [ 0x30 ];
+  constructLength(res, backHalf.length);
+  res = res.concat(backHalf);
+  return utils.encode(res, enc);
+};
+
+},{"bn.js":109,"../../elliptic":108}],185:[function(require,module,exports) {
+'use strict';
+
+var BN = require('bn.js');
+var HmacDRBG = require('hmac-drbg');
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+
+var KeyPair = require('./key');
+var Signature = require('./signature');
+
+function EC(options) {
+  if (!(this instanceof EC))
+    return new EC(options);
+
+  // Shortcut `elliptic.ec(curve-name)`
+  if (typeof options === 'string') {
+    assert(elliptic.curves.hasOwnProperty(options), 'Unknown curve ' + options);
+
+    options = elliptic.curves[options];
+  }
+
+  // Shortcut for `elliptic.ec(elliptic.curves.curveName)`
+  if (options instanceof elliptic.curves.PresetCurve)
+    options = { curve: options };
+
+  this.curve = options.curve.curve;
+  this.n = this.curve.n;
+  this.nh = this.n.ushrn(1);
+  this.g = this.curve.g;
+
+  // Point on curve
+  this.g = options.curve.g;
+  this.g.precompute(options.curve.n.bitLength() + 1);
+
+  // Hash for function for DRBG
+  this.hash = options.hash || options.curve.hash;
+}
+module.exports = EC;
+
+EC.prototype.keyPair = function keyPair(options) {
+  return new KeyPair(this, options);
+};
+
+EC.prototype.keyFromPrivate = function keyFromPrivate(priv, enc) {
+  return KeyPair.fromPrivate(this, priv, enc);
+};
+
+EC.prototype.keyFromPublic = function keyFromPublic(pub, enc) {
+  return KeyPair.fromPublic(this, pub, enc);
+};
+
+EC.prototype.genKeyPair = function genKeyPair(options) {
+  if (!options)
+    options = {};
+
+  // Instantiate Hmac_DRBG
+  var drbg = new HmacDRBG({
+    hash: this.hash,
+    pers: options.pers,
+    persEnc: options.persEnc || 'utf8',
+    entropy: options.entropy || elliptic.rand(this.hash.hmacStrength),
+    entropyEnc: options.entropy && options.entropyEnc || 'utf8',
+    nonce: this.n.toArray()
+  });
+
+  var bytes = this.n.byteLength();
+  var ns2 = this.n.sub(new BN(2));
+  do {
+    var priv = new BN(drbg.generate(bytes));
+    if (priv.cmp(ns2) > 0)
+      continue;
+
+    priv.iaddn(1);
+    return this.keyFromPrivate(priv);
+  } while (true);
+};
+
+EC.prototype._truncateToN = function truncateToN(msg, truncOnly) {
+  var delta = msg.byteLength() * 8 - this.n.bitLength();
+  if (delta > 0)
+    msg = msg.ushrn(delta);
+  if (!truncOnly && msg.cmp(this.n) >= 0)
+    return msg.sub(this.n);
+  else
+    return msg;
+};
+
+EC.prototype.sign = function sign(msg, key, enc, options) {
+  if (typeof enc === 'object') {
+    options = enc;
+    enc = null;
+  }
+  if (!options)
+    options = {};
+
+  key = this.keyFromPrivate(key, enc);
+  msg = this._truncateToN(new BN(msg, 16));
+
+  // Zero-extend key to provide enough entropy
+  var bytes = this.n.byteLength();
+  var bkey = key.getPrivate().toArray('be', bytes);
+
+  // Zero-extend nonce to have the same byte size as N
+  var nonce = msg.toArray('be', bytes);
+
+  // Instantiate Hmac_DRBG
+  var drbg = new HmacDRBG({
+    hash: this.hash,
+    entropy: bkey,
+    nonce: nonce,
+    pers: options.pers,
+    persEnc: options.persEnc || 'utf8'
+  });
+
+  // Number of bytes to generate
+  var ns1 = this.n.sub(new BN(1));
+
+  for (var iter = 0; true; iter++) {
+    var k = options.k ?
+        options.k(iter) :
+        new BN(drbg.generate(this.n.byteLength()));
+    k = this._truncateToN(k, true);
+    if (k.cmpn(1) <= 0 || k.cmp(ns1) >= 0)
+      continue;
+
+    var kp = this.g.mul(k);
+    if (kp.isInfinity())
+      continue;
+
+    var kpX = kp.getX();
+    var r = kpX.umod(this.n);
+    if (r.cmpn(0) === 0)
+      continue;
+
+    var s = k.invm(this.n).mul(r.mul(key.getPrivate()).iadd(msg));
+    s = s.umod(this.n);
+    if (s.cmpn(0) === 0)
+      continue;
+
+    var recoveryParam = (kp.getY().isOdd() ? 1 : 0) |
+                        (kpX.cmp(r) !== 0 ? 2 : 0);
+
+    // Use complement of `s`, if it is > `n / 2`
+    if (options.canonical && s.cmp(this.nh) > 0) {
+      s = this.n.sub(s);
+      recoveryParam ^= 1;
+    }
+
+    return new Signature({ r: r, s: s, recoveryParam: recoveryParam });
+  }
+};
+
+EC.prototype.verify = function verify(msg, signature, key, enc) {
+  msg = this._truncateToN(new BN(msg, 16));
+  key = this.keyFromPublic(key, enc);
+  signature = new Signature(signature, 'hex');
+
+  // Perform primitive values validation
+  var r = signature.r;
+  var s = signature.s;
+  if (r.cmpn(1) < 0 || r.cmp(this.n) >= 0)
+    return false;
+  if (s.cmpn(1) < 0 || s.cmp(this.n) >= 0)
+    return false;
+
+  // Validate signature
+  var sinv = s.invm(this.n);
+  var u1 = sinv.mul(msg).umod(this.n);
+  var u2 = sinv.mul(r).umod(this.n);
+
+  if (!this.curve._maxwellTrick) {
+    var p = this.g.mulAdd(u1, key.getPublic(), u2);
+    if (p.isInfinity())
+      return false;
+
+    return p.getX().umod(this.n).cmp(r) === 0;
+  }
+
+  // NOTE: Greg Maxwell's trick, inspired by:
+  // https://git.io/vad3K
+
+  var p = this.g.jmulAdd(u1, key.getPublic(), u2);
+  if (p.isInfinity())
+    return false;
+
+  // Compare `p.x` of Jacobian point with `r`,
+  // this will do `p.x == r * p.z^2` instead of multiplying `p.x` by the
+  // inverse of `p.z^2`
+  return p.eqXToP(r);
+};
+
+EC.prototype.recoverPubKey = function(msg, signature, j, enc) {
+  assert((3 & j) === j, 'The recovery param is more than two bits');
+  signature = new Signature(signature, enc);
+
+  var n = this.n;
+  var e = new BN(msg);
+  var r = signature.r;
+  var s = signature.s;
+
+  // A set LSB signifies that the y-coordinate is odd
+  var isYOdd = j & 1;
+  var isSecondKey = j >> 1;
+  if (r.cmp(this.curve.p.umod(this.curve.n)) >= 0 && isSecondKey)
+    throw new Error('Unable to find sencond key candinate');
+
+  // 1.1. Let x = r + jn.
+  if (isSecondKey)
+    r = this.curve.pointFromX(r.add(this.curve.n), isYOdd);
+  else
+    r = this.curve.pointFromX(r, isYOdd);
+
+  var rInv = signature.r.invm(n);
+  var s1 = n.sub(e).mul(rInv).umod(n);
+  var s2 = s.mul(rInv).umod(n);
+
+  // 1.6.1 Compute Q = r^-1 (sR -  eG)
+  //               Q = r^-1 (sR + -eG)
+  return this.g.mulAdd(s1, r, s2);
+};
+
+EC.prototype.getKeyRecoveryParam = function(e, signature, Q, enc) {
+  signature = new Signature(signature, enc);
+  if (signature.recoveryParam !== null)
+    return signature.recoveryParam;
+
+  for (var i = 0; i < 4; i++) {
+    var Qprime;
+    try {
+      Qprime = this.recoverPubKey(e, signature, i);
+    } catch (e) {
+      continue;
+    }
+
+    if (Qprime.eq(Q))
+      return i;
+  }
+  throw new Error('Unable to find valid recovery factor');
+};
+
+},{"bn.js":109,"hmac-drbg":205,"../../elliptic":108,"./key":203,"./signature":204}],200:[function(require,module,exports) {
+'use strict';
+
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+var parseBytes = utils.parseBytes;
+var cachedProperty = utils.cachedProperty;
+
+/**
+* @param {EDDSA} eddsa - instance
+* @param {Object} params - public/private key parameters
+*
+* @param {Array<Byte>} [params.secret] - secret seed bytes
+* @param {Point} [params.pub] - public key point (aka `A` in eddsa terms)
+* @param {Array<Byte>} [params.pub] - public key point encoded as bytes
+*
+*/
+function KeyPair(eddsa, params) {
+  this.eddsa = eddsa;
+  this._secret = parseBytes(params.secret);
+  if (eddsa.isPoint(params.pub))
+    this._pub = params.pub;
+  else
+    this._pubBytes = parseBytes(params.pub);
+}
+
+KeyPair.fromPublic = function fromPublic(eddsa, pub) {
+  if (pub instanceof KeyPair)
+    return pub;
+  return new KeyPair(eddsa, { pub: pub });
+};
+
+KeyPair.fromSecret = function fromSecret(eddsa, secret) {
+  if (secret instanceof KeyPair)
+    return secret;
+  return new KeyPair(eddsa, { secret: secret });
+};
+
+KeyPair.prototype.secret = function secret() {
+  return this._secret;
+};
+
+cachedProperty(KeyPair, 'pubBytes', function pubBytes() {
+  return this.eddsa.encodePoint(this.pub());
+});
+
+cachedProperty(KeyPair, 'pub', function pub() {
+  if (this._pubBytes)
+    return this.eddsa.decodePoint(this._pubBytes);
+  return this.eddsa.g.mul(this.priv());
+});
+
+cachedProperty(KeyPair, 'privBytes', function privBytes() {
+  var eddsa = this.eddsa;
+  var hash = this.hash();
+  var lastIx = eddsa.encodingLength - 1;
+
+  var a = hash.slice(0, eddsa.encodingLength);
+  a[0] &= 248;
+  a[lastIx] &= 127;
+  a[lastIx] |= 64;
+
+  return a;
+});
+
+cachedProperty(KeyPair, 'priv', function priv() {
+  return this.eddsa.decodeInt(this.privBytes());
+});
+
+cachedProperty(KeyPair, 'hash', function hash() {
+  return this.eddsa.hash().update(this.secret()).digest();
+});
+
+cachedProperty(KeyPair, 'messagePrefix', function messagePrefix() {
+  return this.hash().slice(this.eddsa.encodingLength);
+});
+
+KeyPair.prototype.sign = function sign(message) {
+  assert(this._secret, 'KeyPair can only verify');
+  return this.eddsa.sign(message, this);
+};
+
+KeyPair.prototype.verify = function verify(message, sig) {
+  return this.eddsa.verify(message, sig, this);
+};
+
+KeyPair.prototype.getSecret = function getSecret(enc) {
+  assert(this._secret, 'KeyPair is public only');
+  return utils.encode(this.secret(), enc);
+};
+
+KeyPair.prototype.getPublic = function getPublic(enc) {
+  return utils.encode(this.pubBytes(), enc);
+};
+
+module.exports = KeyPair;
+
+},{"../../elliptic":108}],201:[function(require,module,exports) {
+'use strict';
+
+var BN = require('bn.js');
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+var cachedProperty = utils.cachedProperty;
+var parseBytes = utils.parseBytes;
+
+/**
+* @param {EDDSA} eddsa - eddsa instance
+* @param {Array<Bytes>|Object} sig -
+* @param {Array<Bytes>|Point} [sig.R] - R point as Point or bytes
+* @param {Array<Bytes>|bn} [sig.S] - S scalar as bn or bytes
+* @param {Array<Bytes>} [sig.Rencoded] - R point encoded
+* @param {Array<Bytes>} [sig.Sencoded] - S scalar encoded
+*/
+function Signature(eddsa, sig) {
+  this.eddsa = eddsa;
+
+  if (typeof sig !== 'object')
+    sig = parseBytes(sig);
+
+  if (Array.isArray(sig)) {
+    sig = {
+      R: sig.slice(0, eddsa.encodingLength),
+      S: sig.slice(eddsa.encodingLength)
+    };
+  }
+
+  assert(sig.R && sig.S, 'Signature without R or S');
+
+  if (eddsa.isPoint(sig.R))
+    this._R = sig.R;
+  if (sig.S instanceof BN)
+    this._S = sig.S;
+
+  this._Rencoded = Array.isArray(sig.R) ? sig.R : sig.Rencoded;
+  this._Sencoded = Array.isArray(sig.S) ? sig.S : sig.Sencoded;
+}
+
+cachedProperty(Signature, 'S', function S() {
+  return this.eddsa.decodeInt(this.Sencoded());
+});
+
+cachedProperty(Signature, 'R', function R() {
+  return this.eddsa.decodePoint(this.Rencoded());
+});
+
+cachedProperty(Signature, 'Rencoded', function Rencoded() {
+  return this.eddsa.encodePoint(this.R());
+});
+
+cachedProperty(Signature, 'Sencoded', function Sencoded() {
+  return this.eddsa.encodeInt(this.S());
+});
+
+Signature.prototype.toBytes = function toBytes() {
+  return this.Rencoded().concat(this.Sencoded());
+};
+
+Signature.prototype.toHex = function toHex() {
+  return utils.encode(this.toBytes(), 'hex').toUpperCase();
+};
+
+module.exports = Signature;
+
+},{"bn.js":109,"../../elliptic":108}],184:[function(require,module,exports) {
+'use strict';
+
+var hash = require('hash.js');
+var elliptic = require('../../elliptic');
+var utils = elliptic.utils;
+var assert = utils.assert;
+var parseBytes = utils.parseBytes;
+var KeyPair = require('./key');
+var Signature = require('./signature');
+
+function EDDSA(curve) {
+  assert(curve === 'ed25519', 'only tested with ed25519 so far');
+
+  if (!(this instanceof EDDSA))
+    return new EDDSA(curve);
+
+  var curve = elliptic.curves[curve].curve;
+  this.curve = curve;
+  this.g = curve.g;
+  this.g.precompute(curve.n.bitLength() + 1);
+
+  this.pointClass = curve.point().constructor;
+  this.encodingLength = Math.ceil(curve.n.bitLength() / 8);
+  this.hash = hash.sha512;
+}
+
+module.exports = EDDSA;
+
+/**
+* @param {Array|String} message - message bytes
+* @param {Array|String|KeyPair} secret - secret bytes or a keypair
+* @returns {Signature} - signature
+*/
+EDDSA.prototype.sign = function sign(message, secret) {
+  message = parseBytes(message);
+  var key = this.keyFromSecret(secret);
+  var r = this.hashInt(key.messagePrefix(), message);
+  var R = this.g.mul(r);
+  var Rencoded = this.encodePoint(R);
+  var s_ = this.hashInt(Rencoded, key.pubBytes(), message)
+               .mul(key.priv());
+  var S = r.add(s_).umod(this.curve.n);
+  return this.makeSignature({ R: R, S: S, Rencoded: Rencoded });
+};
+
+/**
+* @param {Array} message - message bytes
+* @param {Array|String|Signature} sig - sig bytes
+* @param {Array|String|Point|KeyPair} pub - public key
+* @returns {Boolean} - true if public key matches sig of message
+*/
+EDDSA.prototype.verify = function verify(message, sig, pub) {
+  message = parseBytes(message);
+  sig = this.makeSignature(sig);
+  var key = this.keyFromPublic(pub);
+  var h = this.hashInt(sig.Rencoded(), key.pubBytes(), message);
+  var SG = this.g.mul(sig.S());
+  var RplusAh = sig.R().add(key.pub().mul(h));
+  return RplusAh.eq(SG);
+};
+
+EDDSA.prototype.hashInt = function hashInt() {
+  var hash = this.hash();
+  for (var i = 0; i < arguments.length; i++)
+    hash.update(arguments[i]);
+  return utils.intFromLE(hash.digest()).umod(this.curve.n);
+};
+
+EDDSA.prototype.keyFromPublic = function keyFromPublic(pub) {
+  return KeyPair.fromPublic(this, pub);
+};
+
+EDDSA.prototype.keyFromSecret = function keyFromSecret(secret) {
+  return KeyPair.fromSecret(this, secret);
+};
+
+EDDSA.prototype.makeSignature = function makeSignature(sig) {
+  if (sig instanceof Signature)
+    return sig;
+  return new Signature(this, sig);
+};
+
+/**
+* * https://tools.ietf.org/html/draft-josefsson-eddsa-ed25519-03#section-5.2
+*
+* EDDSA defines methods for encoding and decoding points and integers. These are
+* helper convenience methods, that pass along to utility functions implied
+* parameters.
+*
+*/
+EDDSA.prototype.encodePoint = function encodePoint(point) {
+  var enc = point.getY().toArray('le', this.encodingLength);
+  enc[this.encodingLength - 1] |= point.getX().isOdd() ? 0x80 : 0;
+  return enc;
+};
+
+EDDSA.prototype.decodePoint = function decodePoint(bytes) {
+  bytes = utils.parseBytes(bytes);
+
+  var lastIx = bytes.length - 1;
+  var normed = bytes.slice(0, lastIx).concat(bytes[lastIx] & ~0x80);
+  var xIsOdd = (bytes[lastIx] & 0x80) !== 0;
+
+  var y = utils.intFromLE(normed);
+  return this.curve.pointFromY(y, xIsOdd);
+};
+
+EDDSA.prototype.encodeInt = function encodeInt(num) {
+  return num.toArray('le', this.encodingLength);
+};
+
+EDDSA.prototype.decodeInt = function decodeInt(bytes) {
+  return utils.intFromLE(bytes);
+};
+
+EDDSA.prototype.isPoint = function isPoint(val) {
+  return val instanceof this.pointClass;
+};
+
+},{"hash.js":166,"../../elliptic":108,"./key":200,"./signature":201}],108:[function(require,module,exports) {
+'use strict';
+
+var elliptic = exports;
+
+elliptic.version = require('../package.json').version;
+elliptic.utils = require('./elliptic/utils');
+elliptic.rand = require('brorand');
+elliptic.curve = require('./elliptic/curve');
+elliptic.curves = require('./elliptic/curves');
+
+// Protocols
+elliptic.ec = require('./elliptic/ec');
+elliptic.eddsa = require('./elliptic/eddsa');
+
+},{"../package.json":124,"./elliptic/utils":126,"brorand":140,"./elliptic/curve":183,"./elliptic/curves":127,"./elliptic/ec":185,"./elliptic/eddsa":184}],207:[function(require,module,exports) {
+
+var indexOf = [].indexOf;
+
+module.exports = function(arr, obj){
+  if (indexOf) return arr.indexOf(obj);
+  for (var i = 0; i < arr.length; ++i) {
+    if (arr[i] === obj) return i;
+  }
+  return -1;
+};
+},{}],202:[function(require,module,exports) {
+var indexOf = require('indexof');
+
+var Object_keys = function (obj) {
+    if (Object.keys) return Object.keys(obj)
+    else {
+        var res = [];
+        for (var key in obj) res.push(key)
+        return res;
+    }
+};
+
+var forEach = function (xs, fn) {
+    if (xs.forEach) return xs.forEach(fn)
+    else for (var i = 0; i < xs.length; i++) {
+        fn(xs[i], i, xs);
+    }
+};
+
+var defineProp = (function() {
+    try {
+        Object.defineProperty({}, '_', {});
+        return function(obj, name, value) {
+            Object.defineProperty(obj, name, {
+                writable: true,
+                enumerable: false,
+                configurable: true,
+                value: value
+            })
+        };
+    } catch(e) {
+        return function(obj, name, value) {
+            obj[name] = value;
+        };
+    }
+}());
+
+var globals = ['Array', 'Boolean', 'Date', 'Error', 'EvalError', 'Function',
+'Infinity', 'JSON', 'Math', 'NaN', 'Number', 'Object', 'RangeError',
+'ReferenceError', 'RegExp', 'String', 'SyntaxError', 'TypeError', 'URIError',
+'decodeURI', 'decodeURIComponent', 'encodeURI', 'encodeURIComponent', 'escape',
+'eval', 'isFinite', 'isNaN', 'parseFloat', 'parseInt', 'undefined', 'unescape'];
+
+function Context() {}
+Context.prototype = {};
+
+var Script = exports.Script = function NodeScript (code) {
+    if (!(this instanceof Script)) return new Script(code);
+    this.code = code;
+};
+
+Script.prototype.runInContext = function (context) {
+    if (!(context instanceof Context)) {
+        throw new TypeError("needs a 'context' argument.");
+    }
+    
+    var iframe = document.createElement('iframe');
+    if (!iframe.style) iframe.style = {};
+    iframe.style.display = 'none';
+    
+    document.body.appendChild(iframe);
+    
+    var win = iframe.contentWindow;
+    var wEval = win.eval, wExecScript = win.execScript;
+
+    if (!wEval && wExecScript) {
+        // win.eval() magically appears when this is called in IE:
+        wExecScript.call(win, 'null');
+        wEval = win.eval;
+    }
+    
+    forEach(Object_keys(context), function (key) {
+        win[key] = context[key];
+    });
+    forEach(globals, function (key) {
+        if (context[key]) {
+            win[key] = context[key];
+        }
+    });
+    
+    var winKeys = Object_keys(win);
+
+    var res = wEval.call(win, this.code);
+    
+    forEach(Object_keys(win), function (key) {
+        // Avoid copying circular objects like `top` and `window` by only
+        // updating existing context properties or new properties in the `win`
+        // that was only introduced after the eval.
+        if (key in context || indexOf(winKeys, key) === -1) {
+            context[key] = win[key];
+        }
+    });
+
+    forEach(globals, function (key) {
+        if (!(key in context)) {
+            defineProp(context, key, win[key]);
+        }
+    });
+    
+    document.body.removeChild(iframe);
+    
+    return res;
+};
+
+Script.prototype.runInThisContext = function () {
+    return eval(this.code); // maybe...
+};
+
+Script.prototype.runInNewContext = function (context) {
+    var ctx = Script.createContext(context);
+    var res = this.runInContext(ctx);
+
+    forEach(Object_keys(ctx), function (key) {
+        context[key] = ctx[key];
+    });
+
+    return res;
+};
+
+forEach(Object_keys(Script.prototype), function (name) {
+    exports[name] = Script[name] = function (code) {
+        var s = Script(code);
+        return s[name].apply(s, [].slice.call(arguments, 1));
+    };
+});
+
+exports.createScript = function (code) {
+    return exports.Script(code);
+};
+
+exports.createContext = Script.createContext = function (context) {
+    var copy = new Context();
+    if(typeof context === 'object') {
+        forEach(Object_keys(context), function (key) {
+            copy[key] = context[key];
+        });
+    }
+    return copy;
+};
+
+},{"indexof":207}],186:[function(require,module,exports) {
+var asn1 = require('../asn1');
+var inherits = require('inherits');
+
+var api = exports;
+
+api.define = function define(name, body) {
+  return new Entity(name, body);
+};
+
+function Entity(name, body) {
+  this.name = name;
+  this.body = body;
+
+  this.decoders = {};
+  this.encoders = {};
+};
+
+Entity.prototype._createNamed = function createNamed(base) {
+  var named;
+  try {
+    named = require('vm').runInThisContext(
+      '(function ' + this.name + '(entity) {\n' +
+      '  this._initNamed(entity);\n' +
+      '})'
+    );
+  } catch (e) {
+    named = function (entity) {
+      this._initNamed(entity);
+    };
+  }
+  inherits(named, base);
+  named.prototype._initNamed = function initnamed(entity) {
+    base.call(this, entity);
+  };
+
+  return new named(this);
+};
+
+Entity.prototype._getDecoder = function _getDecoder(enc) {
+  enc = enc || 'der';
+  // Lazily create decoder
+  if (!this.decoders.hasOwnProperty(enc))
+    this.decoders[enc] = this._createNamed(asn1.decoders[enc]);
+  return this.decoders[enc];
+};
+
+Entity.prototype.decode = function decode(data, enc, options) {
+  return this._getDecoder(enc).decode(data, options);
+};
+
+Entity.prototype._getEncoder = function _getEncoder(enc) {
+  enc = enc || 'der';
+  // Lazily create encoder
+  if (!this.encoders.hasOwnProperty(enc))
+    this.encoders[enc] = this._createNamed(asn1.encoders[enc]);
+  return this.encoders[enc];
+};
+
+Entity.prototype.encode = function encode(data, enc, /* internal */ reporter) {
+  return this._getEncoder(enc).encode(data, reporter);
+};
+
+},{"../asn1":168,"inherits":97,"vm":202}],212:[function(require,module,exports) {
+var inherits = require('inherits');
+
+function Reporter(options) {
+  this._reporterState = {
+    obj: null,
+    path: [],
+    options: options || {},
+    errors: []
+  };
+}
+exports.Reporter = Reporter;
+
+Reporter.prototype.isError = function isError(obj) {
+  return obj instanceof ReporterError;
+};
+
+Reporter.prototype.save = function save() {
+  var state = this._reporterState;
+
+  return { obj: state.obj, pathLen: state.path.length };
+};
+
+Reporter.prototype.restore = function restore(data) {
+  var state = this._reporterState;
+
+  state.obj = data.obj;
+  state.path = state.path.slice(0, data.pathLen);
+};
+
+Reporter.prototype.enterKey = function enterKey(key) {
+  return this._reporterState.path.push(key);
+};
+
+Reporter.prototype.exitKey = function exitKey(index) {
+  var state = this._reporterState;
+
+  state.path = state.path.slice(0, index - 1);
+};
+
+Reporter.prototype.leaveKey = function leaveKey(index, key, value) {
+  var state = this._reporterState;
+
+  this.exitKey(index);
+  if (state.obj !== null)
+    state.obj[key] = value;
+};
+
+Reporter.prototype.path = function path() {
+  return this._reporterState.path.join('/');
+};
+
+Reporter.prototype.enterObject = function enterObject() {
+  var state = this._reporterState;
+
+  var prev = state.obj;
+  state.obj = {};
+  return prev;
+};
+
+Reporter.prototype.leaveObject = function leaveObject(prev) {
+  var state = this._reporterState;
+
+  var now = state.obj;
+  state.obj = prev;
+  return now;
+};
+
+Reporter.prototype.error = function error(msg) {
+  var err;
+  var state = this._reporterState;
+
+  var inherited = msg instanceof ReporterError;
+  if (inherited) {
+    err = msg;
+  } else {
+    err = new ReporterError(state.path.map(function(elem) {
+      return '[' + JSON.stringify(elem) + ']';
+    }).join(''), msg.message || msg, msg.stack);
+  }
+
+  if (!state.options.partial)
+    throw err;
+
+  if (!inherited)
+    state.errors.push(err);
+
+  return err;
+};
+
+Reporter.prototype.wrapResult = function wrapResult(result) {
+  var state = this._reporterState;
+  if (!state.options.partial)
+    return result;
+
+  return {
+    result: this.isError(result) ? null : result,
+    errors: state.errors
+  };
+};
+
+function ReporterError(path, msg) {
+  this.path = path;
+  this.rethrow(msg);
+};
+inherits(ReporterError, Error);
+
+ReporterError.prototype.rethrow = function rethrow(msg) {
+  this.message = msg + ' at: ' + (this.path || '(shallow)');
+  if (Error.captureStackTrace)
+    Error.captureStackTrace(this, ReporterError);
+
+  if (!this.stack) {
+    try {
+      // IE only adds stack when thrown
+      throw new Error(this.message);
+    } catch (e) {
+      this.stack = e.stack;
+    }
+  }
+  return this;
+};
+
+},{"inherits":97}],213:[function(require,module,exports) {
+
+var inherits = require('inherits');
+var Reporter = require('../base').Reporter;
+var Buffer = require('buffer').Buffer;
+
+function DecoderBuffer(base, options) {
+  Reporter.call(this, options);
+  if (!Buffer.isBuffer(base)) {
+    this.error('Input not Buffer');
+    return;
+  }
+
+  this.base = base;
+  this.offset = 0;
+  this.length = base.length;
+}
+inherits(DecoderBuffer, Reporter);
+exports.DecoderBuffer = DecoderBuffer;
+
+DecoderBuffer.prototype.save = function save() {
+  return { offset: this.offset, reporter: Reporter.prototype.save.call(this) };
+};
+
+DecoderBuffer.prototype.restore = function restore(save) {
+  // Return skipped data
+  var res = new DecoderBuffer(this.base);
+  res.offset = save.offset;
+  res.length = this.offset;
+
+  this.offset = save.offset;
+  Reporter.prototype.restore.call(this, save.reporter);
+
+  return res;
+};
+
+DecoderBuffer.prototype.isEmpty = function isEmpty() {
+  return this.offset === this.length;
+};
+
+DecoderBuffer.prototype.readUInt8 = function readUInt8(fail) {
+  if (this.offset + 1 <= this.length)
+    return this.base.readUInt8(this.offset++, true);
+  else
+    return this.error(fail || 'DecoderBuffer overrun');
+}
+
+DecoderBuffer.prototype.skip = function skip(bytes, fail) {
+  if (!(this.offset + bytes <= this.length))
+    return this.error(fail || 'DecoderBuffer overrun');
+
+  var res = new DecoderBuffer(this.base);
+
+  // Share reporter state
+  res._reporterState = this._reporterState;
+
+  res.offset = this.offset;
+  res.length = this.offset + bytes;
+  this.offset += bytes;
+  return res;
+}
+
+DecoderBuffer.prototype.raw = function raw(save) {
+  return this.base.slice(save ? save.offset : this.offset, this.length);
+}
+
+function EncoderBuffer(value, reporter) {
+  if (Array.isArray(value)) {
+    this.length = 0;
+    this.value = value.map(function(item) {
+      if (!(item instanceof EncoderBuffer))
+        item = new EncoderBuffer(item, reporter);
+      this.length += item.length;
+      return item;
+    }, this);
+  } else if (typeof value === 'number') {
+    if (!(0 <= value && value <= 0xff))
+      return reporter.error('non-byte EncoderBuffer value');
+    this.value = value;
+    this.length = 1;
+  } else if (typeof value === 'string') {
+    this.value = value;
+    this.length = Buffer.byteLength(value);
+  } else if (Buffer.isBuffer(value)) {
+    this.value = value;
+    this.length = value.length;
+  } else {
+    return reporter.error('Unsupported type: ' + typeof value);
+  }
+}
+exports.EncoderBuffer = EncoderBuffer;
+
+EncoderBuffer.prototype.join = function join(out, offset) {
+  if (!out)
+    out = new Buffer(this.length);
+  if (!offset)
+    offset = 0;
+
+  if (this.length === 0)
+    return out;
+
+  if (Array.isArray(this.value)) {
+    this.value.forEach(function(item) {
+      item.join(out, offset);
+      offset += item.length;
+    });
+  } else {
+    if (typeof this.value === 'number')
+      out[offset] = this.value;
+    else if (typeof this.value === 'string')
+      out.write(this.value, offset);
+    else if (Buffer.isBuffer(this.value))
+      this.value.copy(out, offset);
+    offset += this.length;
+  }
+
+  return out;
+};
+
+},{"inherits":97,"../base":208,"buffer":62}],214:[function(require,module,exports) {
+var Reporter = require('../base').Reporter;
+var EncoderBuffer = require('../base').EncoderBuffer;
+var DecoderBuffer = require('../base').DecoderBuffer;
+var assert = require('minimalistic-assert');
+
+// Supported tags
+var tags = [
+  'seq', 'seqof', 'set', 'setof', 'objid', 'bool',
+  'gentime', 'utctime', 'null_', 'enum', 'int', 'objDesc',
+  'bitstr', 'bmpstr', 'charstr', 'genstr', 'graphstr', 'ia5str', 'iso646str',
+  'numstr', 'octstr', 'printstr', 't61str', 'unistr', 'utf8str', 'videostr'
+];
+
+// Public methods list
+var methods = [
+  'key', 'obj', 'use', 'optional', 'explicit', 'implicit', 'def', 'choice',
+  'any', 'contains'
+].concat(tags);
+
+// Overrided methods list
+var overrided = [
+  '_peekTag', '_decodeTag', '_use',
+  '_decodeStr', '_decodeObjid', '_decodeTime',
+  '_decodeNull', '_decodeInt', '_decodeBool', '_decodeList',
+
+  '_encodeComposite', '_encodeStr', '_encodeObjid', '_encodeTime',
+  '_encodeNull', '_encodeInt', '_encodeBool'
+];
+
+function Node(enc, parent) {
+  var state = {};
+  this._baseState = state;
+
+  state.enc = enc;
+
+  state.parent = parent || null;
+  state.children = null;
+
+  // State
+  state.tag = null;
+  state.args = null;
+  state.reverseArgs = null;
+  state.choice = null;
+  state.optional = false;
+  state.any = false;
+  state.obj = false;
+  state.use = null;
+  state.useDecoder = null;
+  state.key = null;
+  state['default'] = null;
+  state.explicit = null;
+  state.implicit = null;
+  state.contains = null;
+
+  // Should create new instance on each method
+  if (!state.parent) {
+    state.children = [];
+    this._wrap();
+  }
+}
+module.exports = Node;
+
+var stateProps = [
+  'enc', 'parent', 'children', 'tag', 'args', 'reverseArgs', 'choice',
+  'optional', 'any', 'obj', 'use', 'alteredUse', 'key', 'default', 'explicit',
+  'implicit', 'contains'
+];
+
+Node.prototype.clone = function clone() {
+  var state = this._baseState;
+  var cstate = {};
+  stateProps.forEach(function(prop) {
+    cstate[prop] = state[prop];
+  });
+  var res = new this.constructor(cstate.parent);
+  res._baseState = cstate;
+  return res;
+};
+
+Node.prototype._wrap = function wrap() {
+  var state = this._baseState;
+  methods.forEach(function(method) {
+    this[method] = function _wrappedMethod() {
+      var clone = new this.constructor(this);
+      state.children.push(clone);
+      return clone[method].apply(clone, arguments);
+    };
+  }, this);
+};
+
+Node.prototype._init = function init(body) {
+  var state = this._baseState;
+
+  assert(state.parent === null);
+  body.call(this);
+
+  // Filter children
+  state.children = state.children.filter(function(child) {
+    return child._baseState.parent === this;
+  }, this);
+  assert.equal(state.children.length, 1, 'Root node can have only one child');
+};
+
+Node.prototype._useArgs = function useArgs(args) {
+  var state = this._baseState;
+
+  // Filter children and args
+  var children = args.filter(function(arg) {
+    return arg instanceof this.constructor;
+  }, this);
+  args = args.filter(function(arg) {
+    return !(arg instanceof this.constructor);
+  }, this);
+
+  if (children.length !== 0) {
+    assert(state.children === null);
+    state.children = children;
+
+    // Replace parent to maintain backward link
+    children.forEach(function(child) {
+      child._baseState.parent = this;
+    }, this);
+  }
+  if (args.length !== 0) {
+    assert(state.args === null);
+    state.args = args;
+    state.reverseArgs = args.map(function(arg) {
+      if (typeof arg !== 'object' || arg.constructor !== Object)
+        return arg;
+
+      var res = {};
+      Object.keys(arg).forEach(function(key) {
+        if (key == (key | 0))
+          key |= 0;
+        var value = arg[key];
+        res[value] = key;
+      });
+      return res;
+    });
+  }
+};
+
+//
+// Overrided methods
+//
+
+overrided.forEach(function(method) {
+  Node.prototype[method] = function _overrided() {
+    var state = this._baseState;
+    throw new Error(method + ' not implemented for encoding: ' + state.enc);
+  };
+});
+
+//
+// Public methods
+//
+
+tags.forEach(function(tag) {
+  Node.prototype[tag] = function _tagMethod() {
+    var state = this._baseState;
+    var args = Array.prototype.slice.call(arguments);
+
+    assert(state.tag === null);
+    state.tag = tag;
+
+    this._useArgs(args);
+
+    return this;
+  };
+});
+
+Node.prototype.use = function use(item) {
+  assert(item);
+  var state = this._baseState;
+
+  assert(state.use === null);
+  state.use = item;
+
+  return this;
+};
+
+Node.prototype.optional = function optional() {
+  var state = this._baseState;
+
+  state.optional = true;
+
+  return this;
+};
+
+Node.prototype.def = function def(val) {
+  var state = this._baseState;
+
+  assert(state['default'] === null);
+  state['default'] = val;
+  state.optional = true;
+
+  return this;
+};
+
+Node.prototype.explicit = function explicit(num) {
+  var state = this._baseState;
+
+  assert(state.explicit === null && state.implicit === null);
+  state.explicit = num;
+
+  return this;
+};
+
+Node.prototype.implicit = function implicit(num) {
+  var state = this._baseState;
+
+  assert(state.explicit === null && state.implicit === null);
+  state.implicit = num;
+
+  return this;
+};
+
+Node.prototype.obj = function obj() {
+  var state = this._baseState;
+  var args = Array.prototype.slice.call(arguments);
+
+  state.obj = true;
+
+  if (args.length !== 0)
+    this._useArgs(args);
+
+  return this;
+};
+
+Node.prototype.key = function key(newKey) {
+  var state = this._baseState;
+
+  assert(state.key === null);
+  state.key = newKey;
+
+  return this;
+};
+
+Node.prototype.any = function any() {
+  var state = this._baseState;
+
+  state.any = true;
+
+  return this;
+};
+
+Node.prototype.choice = function choice(obj) {
+  var state = this._baseState;
+
+  assert(state.choice === null);
+  state.choice = obj;
+  this._useArgs(Object.keys(obj).map(function(key) {
+    return obj[key];
+  }));
+
+  return this;
+};
+
+Node.prototype.contains = function contains(item) {
+  var state = this._baseState;
+
+  assert(state.use === null);
+  state.contains = item;
+
+  return this;
+};
+
+//
+// Decoding
+//
+
+Node.prototype._decode = function decode(input, options) {
+  var state = this._baseState;
+
+  // Decode root node
+  if (state.parent === null)
+    return input.wrapResult(state.children[0]._decode(input, options));
+
+  var result = state['default'];
+  var present = true;
+
+  var prevKey = null;
+  if (state.key !== null)
+    prevKey = input.enterKey(state.key);
+
+  // Check if tag is there
+  if (state.optional) {
+    var tag = null;
+    if (state.explicit !== null)
+      tag = state.explicit;
+    else if (state.implicit !== null)
+      tag = state.implicit;
+    else if (state.tag !== null)
+      tag = state.tag;
+
+    if (tag === null && !state.any) {
+      // Trial and Error
+      var save = input.save();
+      try {
+        if (state.choice === null)
+          this._decodeGeneric(state.tag, input, options);
+        else
+          this._decodeChoice(input, options);
+        present = true;
+      } catch (e) {
+        present = false;
+      }
+      input.restore(save);
+    } else {
+      present = this._peekTag(input, tag, state.any);
+
+      if (input.isError(present))
+        return present;
+    }
+  }
+
+  // Push object on stack
+  var prevObj;
+  if (state.obj && present)
+    prevObj = input.enterObject();
+
+  if (present) {
+    // Unwrap explicit values
+    if (state.explicit !== null) {
+      var explicit = this._decodeTag(input, state.explicit);
+      if (input.isError(explicit))
+        return explicit;
+      input = explicit;
+    }
+
+    var start = input.offset;
+
+    // Unwrap implicit and normal values
+    if (state.use === null && state.choice === null) {
+      if (state.any)
+        var save = input.save();
+      var body = this._decodeTag(
+        input,
+        state.implicit !== null ? state.implicit : state.tag,
+        state.any
+      );
+      if (input.isError(body))
+        return body;
+
+      if (state.any)
+        result = input.raw(save);
+      else
+        input = body;
+    }
+
+    if (options && options.track && state.tag !== null)
+      options.track(input.path(), start, input.length, 'tagged');
+
+    if (options && options.track && state.tag !== null)
+      options.track(input.path(), input.offset, input.length, 'content');
+
+    // Select proper method for tag
+    if (state.any)
+      result = result;
+    else if (state.choice === null)
+      result = this._decodeGeneric(state.tag, input, options);
+    else
+      result = this._decodeChoice(input, options);
+
+    if (input.isError(result))
+      return result;
+
+    // Decode children
+    if (!state.any && state.choice === null && state.children !== null) {
+      state.children.forEach(function decodeChildren(child) {
+        // NOTE: We are ignoring errors here, to let parser continue with other
+        // parts of encoded data
+        child._decode(input, options);
+      });
+    }
+
+    // Decode contained/encoded by schema, only in bit or octet strings
+    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {
+      var data = new DecoderBuffer(result);
+      result = this._getUse(state.contains, input._reporterState.obj)
+          ._decode(data, options);
+    }
+  }
+
+  // Pop object
+  if (state.obj && present)
+    result = input.leaveObject(prevObj);
+
+  // Set key
+  if (state.key !== null && (result !== null || present === true))
+    input.leaveKey(prevKey, state.key, result);
+  else if (prevKey !== null)
+    input.exitKey(prevKey);
+
+  return result;
+};
+
+Node.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {
+  var state = this._baseState;
+
+  if (tag === 'seq' || tag === 'set')
+    return null;
+  if (tag === 'seqof' || tag === 'setof')
+    return this._decodeList(input, tag, state.args[0], options);
+  else if (/str$/.test(tag))
+    return this._decodeStr(input, tag, options);
+  else if (tag === 'objid' && state.args)
+    return this._decodeObjid(input, state.args[0], state.args[1], options);
+  else if (tag === 'objid')
+    return this._decodeObjid(input, null, null, options);
+  else if (tag === 'gentime' || tag === 'utctime')
+    return this._decodeTime(input, tag, options);
+  else if (tag === 'null_')
+    return this._decodeNull(input, options);
+  else if (tag === 'bool')
+    return this._decodeBool(input, options);
+  else if (tag === 'objDesc')
+    return this._decodeStr(input, tag, options);
+  else if (tag === 'int' || tag === 'enum')
+    return this._decodeInt(input, state.args && state.args[0], options);
+
+  if (state.use !== null) {
+    return this._getUse(state.use, input._reporterState.obj)
+        ._decode(input, options);
+  } else {
+    return input.error('unknown tag: ' + tag);
+  }
+};
+
+Node.prototype._getUse = function _getUse(entity, obj) {
+
+  var state = this._baseState;
+  // Create altered use decoder if implicit is set
+  state.useDecoder = this._use(entity, obj);
+  assert(state.useDecoder._baseState.parent === null);
+  state.useDecoder = state.useDecoder._baseState.children[0];
+  if (state.implicit !== state.useDecoder._baseState.implicit) {
+    state.useDecoder = state.useDecoder.clone();
+    state.useDecoder._baseState.implicit = state.implicit;
+  }
+  return state.useDecoder;
+};
+
+Node.prototype._decodeChoice = function decodeChoice(input, options) {
+  var state = this._baseState;
+  var result = null;
+  var match = false;
+
+  Object.keys(state.choice).some(function(key) {
+    var save = input.save();
+    var node = state.choice[key];
+    try {
+      var value = node._decode(input, options);
+      if (input.isError(value))
+        return false;
+
+      result = { type: key, value: value };
+      match = true;
+    } catch (e) {
+      input.restore(save);
+      return false;
+    }
+    return true;
+  }, this);
+
+  if (!match)
+    return input.error('Choice not matched');
+
+  return result;
+};
+
+//
+// Encoding
+//
+
+Node.prototype._createEncoderBuffer = function createEncoderBuffer(data) {
+  return new EncoderBuffer(data, this.reporter);
+};
+
+Node.prototype._encode = function encode(data, reporter, parent) {
+  var state = this._baseState;
+  if (state['default'] !== null && state['default'] === data)
+    return;
+
+  var result = this._encodeValue(data, reporter, parent);
+  if (result === undefined)
+    return;
+
+  if (this._skipDefault(result, reporter, parent))
+    return;
+
+  return result;
+};
+
+Node.prototype._encodeValue = function encode(data, reporter, parent) {
+  var state = this._baseState;
+
+  // Decode root node
+  if (state.parent === null)
+    return state.children[0]._encode(data, reporter || new Reporter());
+
+  var result = null;
+
+  // Set reporter to share it with a child class
+  this.reporter = reporter;
+
+  // Check if data is there
+  if (state.optional && data === undefined) {
+    if (state['default'] !== null)
+      data = state['default']
+    else
+      return;
+  }
+
+  // Encode children first
+  var content = null;
+  var primitive = false;
+  if (state.any) {
+    // Anything that was given is translated to buffer
+    result = this._createEncoderBuffer(data);
+  } else if (state.choice) {
+    result = this._encodeChoice(data, reporter);
+  } else if (state.contains) {
+    content = this._getUse(state.contains, parent)._encode(data, reporter);
+    primitive = true;
+  } else if (state.children) {
+    content = state.children.map(function(child) {
+      if (child._baseState.tag === 'null_')
+        return child._encode(null, reporter, data);
+
+      if (child._baseState.key === null)
+        return reporter.error('Child should have a key');
+      var prevKey = reporter.enterKey(child._baseState.key);
+
+      if (typeof data !== 'object')
+        return reporter.error('Child expected, but input is not object');
+
+      var res = child._encode(data[child._baseState.key], reporter, data);
+      reporter.leaveKey(prevKey);
+
+      return res;
+    }, this).filter(function(child) {
+      return child;
+    });
+    content = this._createEncoderBuffer(content);
+  } else {
+    if (state.tag === 'seqof' || state.tag === 'setof') {
+      // TODO(indutny): this should be thrown on DSL level
+      if (!(state.args && state.args.length === 1))
+        return reporter.error('Too many args for : ' + state.tag);
+
+      if (!Array.isArray(data))
+        return reporter.error('seqof/setof, but data is not Array');
+
+      var child = this.clone();
+      child._baseState.implicit = null;
+      content = this._createEncoderBuffer(data.map(function(item) {
+        var state = this._baseState;
+
+        return this._getUse(state.args[0], data)._encode(item, reporter);
+      }, child));
+    } else if (state.use !== null) {
+      result = this._getUse(state.use, parent)._encode(data, reporter);
+    } else {
+      content = this._encodePrimitive(state.tag, data);
+      primitive = true;
+    }
+  }
+
+  // Encode data itself
+  var result;
+  if (!state.any && state.choice === null) {
+    var tag = state.implicit !== null ? state.implicit : state.tag;
+    var cls = state.implicit === null ? 'universal' : 'context';
+
+    if (tag === null) {
+      if (state.use === null)
+        reporter.error('Tag could be omitted only for .use()');
+    } else {
+      if (state.use === null)
+        result = this._encodeComposite(tag, primitive, cls, content);
+    }
+  }
+
+  // Wrap in explicit
+  if (state.explicit !== null)
+    result = this._encodeComposite(state.explicit, false, 'context', result);
+
+  return result;
+};
+
+Node.prototype._encodeChoice = function encodeChoice(data, reporter) {
+  var state = this._baseState;
+
+  var node = state.choice[data.type];
+  if (!node) {
+    assert(
+        false,
+        data.type + ' not found in ' +
+            JSON.stringify(Object.keys(state.choice)));
+  }
+  return node._encode(data.value, reporter);
+};
+
+Node.prototype._encodePrimitive = function encodePrimitive(tag, data) {
+  var state = this._baseState;
+
+  if (/str$/.test(tag))
+    return this._encodeStr(data, tag);
+  else if (tag === 'objid' && state.args)
+    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);
+  else if (tag === 'objid')
+    return this._encodeObjid(data, null, null);
+  else if (tag === 'gentime' || tag === 'utctime')
+    return this._encodeTime(data, tag);
+  else if (tag === 'null_')
+    return this._encodeNull();
+  else if (tag === 'int' || tag === 'enum')
+    return this._encodeInt(data, state.args && state.reverseArgs[0]);
+  else if (tag === 'bool')
+    return this._encodeBool(data);
+  else if (tag === 'objDesc')
+    return this._encodeStr(data, tag);
+  else
+    throw new Error('Unsupported tag: ' + tag);
+};
+
+Node.prototype._isNumstr = function isNumstr(str) {
+  return /^[0-9 ]*$/.test(str);
+};
+
+Node.prototype._isPrintstr = function isPrintstr(str) {
+  return /^[A-Za-z0-9 '\(\)\+,\-\.\/:=\?]*$/.test(str);
+};
+
+},{"../base":208,"minimalistic-assert":163}],208:[function(require,module,exports) {
+var base = exports;
+
+base.Reporter = require('./reporter').Reporter;
+base.DecoderBuffer = require('./buffer').DecoderBuffer;
+base.EncoderBuffer = require('./buffer').EncoderBuffer;
+base.Node = require('./node');
+
+},{"./reporter":212,"./buffer":213,"./node":214}],217:[function(require,module,exports) {
+var constants = require('../constants');
+
+exports.tagClass = {
+  0: 'universal',
+  1: 'application',
+  2: 'context',
+  3: 'private'
+};
+exports.tagClassByName = constants._reverse(exports.tagClass);
+
+exports.tag = {
+  0x00: 'end',
+  0x01: 'bool',
+  0x02: 'int',
+  0x03: 'bitstr',
+  0x04: 'octstr',
+  0x05: 'null_',
+  0x06: 'objid',
+  0x07: 'objDesc',
+  0x08: 'external',
+  0x09: 'real',
+  0x0a: 'enum',
+  0x0b: 'embed',
+  0x0c: 'utf8str',
+  0x0d: 'relativeOid',
+  0x10: 'seq',
+  0x11: 'set',
+  0x12: 'numstr',
+  0x13: 'printstr',
+  0x14: 't61str',
+  0x15: 'videostr',
+  0x16: 'ia5str',
+  0x17: 'utctime',
+  0x18: 'gentime',
+  0x19: 'graphstr',
+  0x1a: 'iso646str',
+  0x1b: 'genstr',
+  0x1c: 'unistr',
+  0x1d: 'charstr',
+  0x1e: 'bmpstr'
+};
+exports.tagByName = constants._reverse(exports.tag);
+
+},{"../constants":209}],209:[function(require,module,exports) {
+var constants = exports;
+
+// Helper
+constants._reverse = function reverse(map) {
+  var res = {};
+
+  Object.keys(map).forEach(function(key) {
+    // Convert key to integer if it is stringified
+    if ((key | 0) == key)
+      key = key | 0;
+
+    var value = map[key];
+    res[value] = key;
+  });
+
+  return res;
+};
+
+constants.der = require('./der');
+
+},{"./der":217}],218:[function(require,module,exports) {
+var inherits = require('inherits');
+
+var asn1 = require('../../asn1');
+var base = asn1.base;
+var bignum = asn1.bignum;
+
+// Import DER constants
+var der = asn1.constants.der;
+
+function DERDecoder(entity) {
+  this.enc = 'der';
+  this.name = entity.name;
+  this.entity = entity;
+
+  // Construct base tree
+  this.tree = new DERNode();
+  this.tree._init(entity.body);
+};
+module.exports = DERDecoder;
+
+DERDecoder.prototype.decode = function decode(data, options) {
+  if (!(data instanceof base.DecoderBuffer))
+    data = new base.DecoderBuffer(data, options);
+
+  return this.tree._decode(data, options);
+};
+
+// Tree methods
+
+function DERNode(parent) {
+  base.Node.call(this, 'der', parent);
+}
+inherits(DERNode, base.Node);
+
+DERNode.prototype._peekTag = function peekTag(buffer, tag, any) {
+  if (buffer.isEmpty())
+    return false;
+
+  var state = buffer.save();
+  var decodedTag = derDecodeTag(buffer, 'Failed to peek tag: "' + tag + '"');
+  if (buffer.isError(decodedTag))
+    return decodedTag;
+
+  buffer.restore(state);
+
+  return decodedTag.tag === tag || decodedTag.tagStr === tag ||
+    (decodedTag.tagStr + 'of') === tag || any;
+};
+
+DERNode.prototype._decodeTag = function decodeTag(buffer, tag, any) {
+  var decodedTag = derDecodeTag(buffer,
+                                'Failed to decode tag of "' + tag + '"');
+  if (buffer.isError(decodedTag))
+    return decodedTag;
+
+  var len = derDecodeLen(buffer,
+                         decodedTag.primitive,
+                         'Failed to get length of "' + tag + '"');
+
+  // Failure
+  if (buffer.isError(len))
+    return len;
+
+  if (!any &&
+      decodedTag.tag !== tag &&
+      decodedTag.tagStr !== tag &&
+      decodedTag.tagStr + 'of' !== tag) {
+    return buffer.error('Failed to match tag: "' + tag + '"');
+  }
+
+  if (decodedTag.primitive || len !== null)
+    return buffer.skip(len, 'Failed to match body of: "' + tag + '"');
+
+  // Indefinite length... find END tag
+  var state = buffer.save();
+  var res = this._skipUntilEnd(
+      buffer,
+      'Failed to skip indefinite length body: "' + this.tag + '"');
+  if (buffer.isError(res))
+    return res;
+
+  len = buffer.offset - state.offset;
+  buffer.restore(state);
+  return buffer.skip(len, 'Failed to match body of: "' + tag + '"');
+};
+
+DERNode.prototype._skipUntilEnd = function skipUntilEnd(buffer, fail) {
+  while (true) {
+    var tag = derDecodeTag(buffer, fail);
+    if (buffer.isError(tag))
+      return tag;
+    var len = derDecodeLen(buffer, tag.primitive, fail);
+    if (buffer.isError(len))
+      return len;
+
+    var res;
+    if (tag.primitive || len !== null)
+      res = buffer.skip(len)
+    else
+      res = this._skipUntilEnd(buffer, fail);
+
+    // Failure
+    if (buffer.isError(res))
+      return res;
+
+    if (tag.tagStr === 'end')
+      break;
+  }
+};
+
+DERNode.prototype._decodeList = function decodeList(buffer, tag, decoder,
+                                                    options) {
+  var result = [];
+  while (!buffer.isEmpty()) {
+    var possibleEnd = this._peekTag(buffer, 'end');
+    if (buffer.isError(possibleEnd))
+      return possibleEnd;
+
+    var res = decoder.decode(buffer, 'der', options);
+    if (buffer.isError(res) && possibleEnd)
+      break;
+    result.push(res);
+  }
+  return result;
+};
+
+DERNode.prototype._decodeStr = function decodeStr(buffer, tag) {
+  if (tag === 'bitstr') {
+    var unused = buffer.readUInt8();
+    if (buffer.isError(unused))
+      return unused;
+    return { unused: unused, data: buffer.raw() };
+  } else if (tag === 'bmpstr') {
+    var raw = buffer.raw();
+    if (raw.length % 2 === 1)
+      return buffer.error('Decoding of string type: bmpstr length mismatch');
+
+    var str = '';
+    for (var i = 0; i < raw.length / 2; i++) {
+      str += String.fromCharCode(raw.readUInt16BE(i * 2));
+    }
+    return str;
+  } else if (tag === 'numstr') {
+    var numstr = buffer.raw().toString('ascii');
+    if (!this._isNumstr(numstr)) {
+      return buffer.error('Decoding of string type: ' +
+                          'numstr unsupported characters');
+    }
+    return numstr;
+  } else if (tag === 'octstr') {
+    return buffer.raw();
+  } else if (tag === 'objDesc') {
+    return buffer.raw();
+  } else if (tag === 'printstr') {
+    var printstr = buffer.raw().toString('ascii');
+    if (!this._isPrintstr(printstr)) {
+      return buffer.error('Decoding of string type: ' +
+                          'printstr unsupported characters');
+    }
+    return printstr;
+  } else if (/str$/.test(tag)) {
+    return buffer.raw().toString();
+  } else {
+    return buffer.error('Decoding of string type: ' + tag + ' unsupported');
+  }
+};
+
+DERNode.prototype._decodeObjid = function decodeObjid(buffer, values, relative) {
+  var result;
+  var identifiers = [];
+  var ident = 0;
+  while (!buffer.isEmpty()) {
+    var subident = buffer.readUInt8();
+    ident <<= 7;
+    ident |= subident & 0x7f;
+    if ((subident & 0x80) === 0) {
+      identifiers.push(ident);
+      ident = 0;
+    }
+  }
+  if (subident & 0x80)
+    identifiers.push(ident);
+
+  var first = (identifiers[0] / 40) | 0;
+  var second = identifiers[0] % 40;
+
+  if (relative)
+    result = identifiers;
+  else
+    result = [first, second].concat(identifiers.slice(1));
+
+  if (values) {
+    var tmp = values[result.join(' ')];
+    if (tmp === undefined)
+      tmp = values[result.join('.')];
+    if (tmp !== undefined)
+      result = tmp;
+  }
+
+  return result;
+};
+
+DERNode.prototype._decodeTime = function decodeTime(buffer, tag) {
+  var str = buffer.raw().toString();
+  if (tag === 'gentime') {
+    var year = str.slice(0, 4) | 0;
+    var mon = str.slice(4, 6) | 0;
+    var day = str.slice(6, 8) | 0;
+    var hour = str.slice(8, 10) | 0;
+    var min = str.slice(10, 12) | 0;
+    var sec = str.slice(12, 14) | 0;
+  } else if (tag === 'utctime') {
+    var year = str.slice(0, 2) | 0;
+    var mon = str.slice(2, 4) | 0;
+    var day = str.slice(4, 6) | 0;
+    var hour = str.slice(6, 8) | 0;
+    var min = str.slice(8, 10) | 0;
+    var sec = str.slice(10, 12) | 0;
+    if (year < 70)
+      year = 2000 + year;
+    else
+      year = 1900 + year;
+  } else {
+    return buffer.error('Decoding ' + tag + ' time is not supported yet');
+  }
+
+  return Date.UTC(year, mon - 1, day, hour, min, sec, 0);
+};
+
+DERNode.prototype._decodeNull = function decodeNull(buffer) {
+  return null;
+};
+
+DERNode.prototype._decodeBool = function decodeBool(buffer) {
+  var res = buffer.readUInt8();
+  if (buffer.isError(res))
+    return res;
+  else
+    return res !== 0;
+};
+
+DERNode.prototype._decodeInt = function decodeInt(buffer, values) {
+  // Bigint, return as it is (assume big endian)
+  var raw = buffer.raw();
+  var res = new bignum(raw);
+
+  if (values)
+    res = values[res.toString(10)] || res;
+
+  return res;
+};
+
+DERNode.prototype._use = function use(entity, obj) {
+  if (typeof entity === 'function')
+    entity = entity(obj);
+  return entity._getDecoder('der').tree;
+};
+
+// Utility methods
+
+function derDecodeTag(buf, fail) {
+  var tag = buf.readUInt8(fail);
+  if (buf.isError(tag))
+    return tag;
+
+  var cls = der.tagClass[tag >> 6];
+  var primitive = (tag & 0x20) === 0;
+
+  // Multi-octet tag - load
+  if ((tag & 0x1f) === 0x1f) {
+    var oct = tag;
+    tag = 0;
+    while ((oct & 0x80) === 0x80) {
+      oct = buf.readUInt8(fail);
+      if (buf.isError(oct))
+        return oct;
+
+      tag <<= 7;
+      tag |= oct & 0x7f;
+    }
+  } else {
+    tag &= 0x1f;
+  }
+  var tagStr = der.tag[tag];
+
+  return {
+    cls: cls,
+    primitive: primitive,
+    tag: tag,
+    tagStr: tagStr
+  };
+}
+
+function derDecodeLen(buf, primitive, fail) {
+  var len = buf.readUInt8(fail);
+  if (buf.isError(len))
+    return len;
+
+  // Indefinite form
+  if (!primitive && len === 0x80)
+    return null;
+
+  // Definite form
+  if ((len & 0x80) === 0) {
+    // Short form
+    return len;
+  }
+
+  // Long form
+  var num = len & 0x7f;
+  if (num > 4)
+    return buf.error('length octect is too long');
+
+  len = 0;
+  for (var i = 0; i < num; i++) {
+    len <<= 8;
+    var j = buf.readUInt8(fail);
+    if (buf.isError(j))
+      return j;
+    len |= j;
+  }
+
+  return len;
+}
+
+},{"inherits":97,"../../asn1":168}],219:[function(require,module,exports) {
+
+var inherits = require('inherits');
+var Buffer = require('buffer').Buffer;
+
+var DERDecoder = require('./der');
+
+function PEMDecoder(entity) {
+  DERDecoder.call(this, entity);
+  this.enc = 'pem';
+};
+inherits(PEMDecoder, DERDecoder);
+module.exports = PEMDecoder;
+
+PEMDecoder.prototype.decode = function decode(data, options) {
+  var lines = data.toString().split(/[\r\n]+/g);
+
+  var label = options.label.toUpperCase();
+
+  var re = /^-----(BEGIN|END) ([^-]+)-----$/;
+  var start = -1;
+  var end = -1;
+  for (var i = 0; i < lines.length; i++) {
+    var match = lines[i].match(re);
+    if (match === null)
+      continue;
+
+    if (match[2] !== label)
+      continue;
+
+    if (start === -1) {
+      if (match[1] !== 'BEGIN')
+        break;
+      start = i;
+    } else {
+      if (match[1] !== 'END')
+        break;
+      end = i;
+      break;
+    }
+  }
+  if (start === -1 || end === -1)
+    throw new Error('PEM section not found for: ' + label);
+
+  var base64 = lines.slice(start + 1, end).join('');
+  // Remove excessive symbols
+  base64.replace(/[^a-z0-9\+\/=]+/gi, '');
+
+  var input = new Buffer(base64, 'base64');
+  return DERDecoder.prototype.decode.call(this, input, options);
+};
+
+},{"inherits":97,"buffer":62,"./der":218}],211:[function(require,module,exports) {
+var decoders = exports;
+
+decoders.der = require('./der');
+decoders.pem = require('./pem');
+
+},{"./der":218,"./pem":219}],215:[function(require,module,exports) {
+
+var inherits = require('inherits');
+var Buffer = require('buffer').Buffer;
+
+var asn1 = require('../../asn1');
+var base = asn1.base;
+
+// Import DER constants
+var der = asn1.constants.der;
+
+function DEREncoder(entity) {
+  this.enc = 'der';
+  this.name = entity.name;
+  this.entity = entity;
+
+  // Construct base tree
+  this.tree = new DERNode();
+  this.tree._init(entity.body);
+};
+module.exports = DEREncoder;
+
+DEREncoder.prototype.encode = function encode(data, reporter) {
+  return this.tree._encode(data, reporter).join();
+};
+
+// Tree methods
+
+function DERNode(parent) {
+  base.Node.call(this, 'der', parent);
+}
+inherits(DERNode, base.Node);
+
+DERNode.prototype._encodeComposite = function encodeComposite(tag,
+                                                              primitive,
+                                                              cls,
+                                                              content) {
+  var encodedTag = encodeTag(tag, primitive, cls, this.reporter);
+
+  // Short form
+  if (content.length < 0x80) {
+    var header = new Buffer(2);
+    header[0] = encodedTag;
+    header[1] = content.length;
+    return this._createEncoderBuffer([ header, content ]);
+  }
+
+  // Long form
+  // Count octets required to store length
+  var lenOctets = 1;
+  for (var i = content.length; i >= 0x100; i >>= 8)
+    lenOctets++;
+
+  var header = new Buffer(1 + 1 + lenOctets);
+  header[0] = encodedTag;
+  header[1] = 0x80 | lenOctets;
+
+  for (var i = 1 + lenOctets, j = content.length; j > 0; i--, j >>= 8)
+    header[i] = j & 0xff;
+
+  return this._createEncoderBuffer([ header, content ]);
+};
+
+DERNode.prototype._encodeStr = function encodeStr(str, tag) {
+  if (tag === 'bitstr') {
+    return this._createEncoderBuffer([ str.unused | 0, str.data ]);
+  } else if (tag === 'bmpstr') {
+    var buf = new Buffer(str.length * 2);
+    for (var i = 0; i < str.length; i++) {
+      buf.writeUInt16BE(str.charCodeAt(i), i * 2);
+    }
+    return this._createEncoderBuffer(buf);
+  } else if (tag === 'numstr') {
+    if (!this._isNumstr(str)) {
+      return this.reporter.error('Encoding of string type: numstr supports ' +
+                                 'only digits and space');
+    }
+    return this._createEncoderBuffer(str);
+  } else if (tag === 'printstr') {
+    if (!this._isPrintstr(str)) {
+      return this.reporter.error('Encoding of string type: printstr supports ' +
+                                 'only latin upper and lower case letters, ' +
+                                 'digits, space, apostrophe, left and rigth ' +
+                                 'parenthesis, plus sign, comma, hyphen, ' +
+                                 'dot, slash, colon, equal sign, ' +
+                                 'question mark');
+    }
+    return this._createEncoderBuffer(str);
+  } else if (/str$/.test(tag)) {
+    return this._createEncoderBuffer(str);
+  } else if (tag === 'objDesc') {
+    return this._createEncoderBuffer(str);
+  } else {
+    return this.reporter.error('Encoding of string type: ' + tag +
+                               ' unsupported');
+  }
+};
+
+DERNode.prototype._encodeObjid = function encodeObjid(id, values, relative) {
+  if (typeof id === 'string') {
+    if (!values)
+      return this.reporter.error('string objid given, but no values map found');
+    if (!values.hasOwnProperty(id))
+      return this.reporter.error('objid not found in values map');
+    id = values[id].split(/[\s\.]+/g);
+    for (var i = 0; i < id.length; i++)
+      id[i] |= 0;
+  } else if (Array.isArray(id)) {
+    id = id.slice();
+    for (var i = 0; i < id.length; i++)
+      id[i] |= 0;
+  }
+
+  if (!Array.isArray(id)) {
+    return this.reporter.error('objid() should be either array or string, ' +
+                               'got: ' + JSON.stringify(id));
+  }
+
+  if (!relative) {
+    if (id[1] >= 40)
+      return this.reporter.error('Second objid identifier OOB');
+    id.splice(0, 2, id[0] * 40 + id[1]);
+  }
+
+  // Count number of octets
+  var size = 0;
+  for (var i = 0; i < id.length; i++) {
+    var ident = id[i];
+    for (size++; ident >= 0x80; ident >>= 7)
+      size++;
+  }
+
+  var objid = new Buffer(size);
+  var offset = objid.length - 1;
+  for (var i = id.length - 1; i >= 0; i--) {
+    var ident = id[i];
+    objid[offset--] = ident & 0x7f;
+    while ((ident >>= 7) > 0)
+      objid[offset--] = 0x80 | (ident & 0x7f);
+  }
+
+  return this._createEncoderBuffer(objid);
+};
+
+function two(num) {
+  if (num < 10)
+    return '0' + num;
+  else
+    return num;
+}
+
+DERNode.prototype._encodeTime = function encodeTime(time, tag) {
+  var str;
+  var date = new Date(time);
+
+  if (tag === 'gentime') {
+    str = [
+      two(date.getFullYear()),
+      two(date.getUTCMonth() + 1),
+      two(date.getUTCDate()),
+      two(date.getUTCHours()),
+      two(date.getUTCMinutes()),
+      two(date.getUTCSeconds()),
+      'Z'
+    ].join('');
+  } else if (tag === 'utctime') {
+    str = [
+      two(date.getFullYear() % 100),
+      two(date.getUTCMonth() + 1),
+      two(date.getUTCDate()),
+      two(date.getUTCHours()),
+      two(date.getUTCMinutes()),
+      two(date.getUTCSeconds()),
+      'Z'
+    ].join('');
+  } else {
+    this.reporter.error('Encoding ' + tag + ' time is not supported yet');
+  }
+
+  return this._encodeStr(str, 'octstr');
+};
+
+DERNode.prototype._encodeNull = function encodeNull() {
+  return this._createEncoderBuffer('');
+};
+
+DERNode.prototype._encodeInt = function encodeInt(num, values) {
+  if (typeof num === 'string') {
+    if (!values)
+      return this.reporter.error('String int or enum given, but no values map');
+    if (!values.hasOwnProperty(num)) {
+      return this.reporter.error('Values map doesn\'t contain: ' +
+                                 JSON.stringify(num));
+    }
+    num = values[num];
+  }
+
+  // Bignum, assume big endian
+  if (typeof num !== 'number' && !Buffer.isBuffer(num)) {
+    var numArray = num.toArray();
+    if (!num.sign && numArray[0] & 0x80) {
+      numArray.unshift(0);
+    }
+    num = new Buffer(numArray);
+  }
+
+  if (Buffer.isBuffer(num)) {
+    var size = num.length;
+    if (num.length === 0)
+      size++;
+
+    var out = new Buffer(size);
+    num.copy(out);
+    if (num.length === 0)
+      out[0] = 0
+    return this._createEncoderBuffer(out);
+  }
+
+  if (num < 0x80)
+    return this._createEncoderBuffer(num);
+
+  if (num < 0x100)
+    return this._createEncoderBuffer([0, num]);
+
+  var size = 1;
+  for (var i = num; i >= 0x100; i >>= 8)
+    size++;
+
+  var out = new Array(size);
+  for (var i = out.length - 1; i >= 0; i--) {
+    out[i] = num & 0xff;
+    num >>= 8;
+  }
+  if(out[0] & 0x80) {
+    out.unshift(0);
+  }
+
+  return this._createEncoderBuffer(new Buffer(out));
+};
+
+DERNode.prototype._encodeBool = function encodeBool(value) {
+  return this._createEncoderBuffer(value ? 0xff : 0);
+};
+
+DERNode.prototype._use = function use(entity, obj) {
+  if (typeof entity === 'function')
+    entity = entity(obj);
+  return entity._getEncoder('der').tree;
+};
+
+DERNode.prototype._skipDefault = function skipDefault(dataBuffer, reporter, parent) {
+  var state = this._baseState;
+  var i;
+  if (state['default'] === null)
+    return false;
+
+  var data = dataBuffer.join();
+  if (state.defaultBuffer === undefined)
+    state.defaultBuffer = this._encodeValue(state['default'], reporter, parent).join();
+
+  if (data.length !== state.defaultBuffer.length)
+    return false;
+
+  for (i=0; i < data.length; i++)
+    if (data[i] !== state.defaultBuffer[i])
+      return false;
+
+  return true;
+};
+
+// Utility methods
+
+function encodeTag(tag, primitive, cls, reporter) {
+  var res;
+
+  if (tag === 'seqof')
+    tag = 'seq';
+  else if (tag === 'setof')
+    tag = 'set';
+
+  if (der.tagByName.hasOwnProperty(tag))
+    res = der.tagByName[tag];
+  else if (typeof tag === 'number' && (tag | 0) === tag)
+    res = tag;
+  else
+    return reporter.error('Unknown tag: ' + tag);
+
+  if (res >= 0x1f)
+    return reporter.error('Multi-octet tag encoding unsupported');
+
+  if (!primitive)
+    res |= 0x20;
+
+  res |= (der.tagClassByName[cls || 'universal'] << 6);
+
+  return res;
+}
+
+},{"inherits":97,"buffer":62,"../../asn1":168}],216:[function(require,module,exports) {
+var inherits = require('inherits');
+
+var DEREncoder = require('./der');
+
+function PEMEncoder(entity) {
+  DEREncoder.call(this, entity);
+  this.enc = 'pem';
+};
+inherits(PEMEncoder, DEREncoder);
+module.exports = PEMEncoder;
+
+PEMEncoder.prototype.encode = function encode(data, options) {
+  var buf = DEREncoder.prototype.encode.call(this, data);
+
+  var p = buf.toString('base64');
+  var out = [ '-----BEGIN ' + options.label + '-----' ];
+  for (var i = 0; i < p.length; i += 64)
+    out.push(p.slice(i, i + 64));
+  out.push('-----END ' + options.label + '-----');
+  return out.join('\n');
+};
+
+},{"inherits":97,"./der":215}],210:[function(require,module,exports) {
+var encoders = exports;
+
+encoders.der = require('./der');
+encoders.pem = require('./pem');
+
+},{"./der":215,"./pem":216}],168:[function(require,module,exports) {
+var asn1 = exports;
+
+asn1.bignum = require('bn.js');
+
+asn1.define = require('./asn1/api').define;
+asn1.base = require('./asn1/base');
+asn1.constants = require('./asn1/constants');
+asn1.decoders = require('./asn1/decoders');
+asn1.encoders = require('./asn1/encoders');
+
+},{"bn.js":109,"./asn1/api":186,"./asn1/base":208,"./asn1/constants":209,"./asn1/decoders":211,"./asn1/encoders":210}],162:[function(require,module,exports) {
+// from https://github.com/Rantanen/node-dtls/blob/25a7dc861bda38cfeac93a723500eea4f0ac2e86/Certificate.js
+// thanks to @Rantanen
+
+'use strict'
+
+var asn = require('asn1.js')
+
+var Time = asn.define('Time', function () {
+  this.choice({
+    utcTime: this.utctime(),
+    generalTime: this.gentime()
+  })
+})
+
+var AttributeTypeValue = asn.define('AttributeTypeValue', function () {
+  this.seq().obj(
+    this.key('type').objid(),
+    this.key('value').any()
+  )
+})
+
+var AlgorithmIdentifier = asn.define('AlgorithmIdentifier', function () {
+  this.seq().obj(
+    this.key('algorithm').objid(),
+    this.key('parameters').optional()
+  )
+})
+
+var SubjectPublicKeyInfo = asn.define('SubjectPublicKeyInfo', function () {
+  this.seq().obj(
+    this.key('algorithm').use(AlgorithmIdentifier),
+    this.key('subjectPublicKey').bitstr()
+  )
+})
+
+var RelativeDistinguishedName = asn.define('RelativeDistinguishedName', function () {
+  this.setof(AttributeTypeValue)
+})
+
+var RDNSequence = asn.define('RDNSequence', function () {
+  this.seqof(RelativeDistinguishedName)
+})
+
+var Name = asn.define('Name', function () {
+  this.choice({
+    rdnSequence: this.use(RDNSequence)
+  })
+})
+
+var Validity = asn.define('Validity', function () {
+  this.seq().obj(
+    this.key('notBefore').use(Time),
+    this.key('notAfter').use(Time)
+  )
+})
+
+var Extension = asn.define('Extension', function () {
+  this.seq().obj(
+    this.key('extnID').objid(),
+    this.key('critical').bool().def(false),
+    this.key('extnValue').octstr()
+  )
+})
+
+var TBSCertificate = asn.define('TBSCertificate', function () {
+  this.seq().obj(
+    this.key('version').explicit(0).int(),
+    this.key('serialNumber').int(),
+    this.key('signature').use(AlgorithmIdentifier),
+    this.key('issuer').use(Name),
+    this.key('validity').use(Validity),
+    this.key('subject').use(Name),
+    this.key('subjectPublicKeyInfo').use(SubjectPublicKeyInfo),
+    this.key('issuerUniqueID').implicit(1).bitstr().optional(),
+    this.key('subjectUniqueID').implicit(2).bitstr().optional(),
+    this.key('extensions').explicit(3).seqof(Extension).optional()
+  )
+})
+
+var X509Certificate = asn.define('X509Certificate', function () {
+  this.seq().obj(
+    this.key('tbsCertificate').use(TBSCertificate),
+    this.key('signatureAlgorithm').use(AlgorithmIdentifier),
+    this.key('signatureValue').bitstr()
+  )
+})
+
+module.exports = X509Certificate
+
+},{"asn1.js":168}],146:[function(require,module,exports) {
+// from https://github.com/indutny/self-signed/blob/gh-pages/lib/asn1.js
+// Fedor, you are amazing.
+'use strict'
+
+var asn1 = require('asn1.js')
+
+exports.certificate = require('./certificate')
+
+var RSAPrivateKey = asn1.define('RSAPrivateKey', function () {
+  this.seq().obj(
+    this.key('version').int(),
+    this.key('modulus').int(),
+    this.key('publicExponent').int(),
+    this.key('privateExponent').int(),
+    this.key('prime1').int(),
+    this.key('prime2').int(),
+    this.key('exponent1').int(),
+    this.key('exponent2').int(),
+    this.key('coefficient').int()
+  )
+})
+exports.RSAPrivateKey = RSAPrivateKey
+
+var RSAPublicKey = asn1.define('RSAPublicKey', function () {
+  this.seq().obj(
+    this.key('modulus').int(),
+    this.key('publicExponent').int()
+  )
+})
+exports.RSAPublicKey = RSAPublicKey
+
+var PublicKey = asn1.define('SubjectPublicKeyInfo', function () {
+  this.seq().obj(
+    this.key('algorithm').use(AlgorithmIdentifier),
+    this.key('subjectPublicKey').bitstr()
+  )
+})
+exports.PublicKey = PublicKey
+
+var AlgorithmIdentifier = asn1.define('AlgorithmIdentifier', function () {
+  this.seq().obj(
+    this.key('algorithm').objid(),
+    this.key('none').null_().optional(),
+    this.key('curve').objid().optional(),
+    this.key('params').seq().obj(
+      this.key('p').int(),
+      this.key('q').int(),
+      this.key('g').int()
+    ).optional()
+  )
+})
+
+var PrivateKeyInfo = asn1.define('PrivateKeyInfo', function () {
+  this.seq().obj(
+    this.key('version').int(),
+    this.key('algorithm').use(AlgorithmIdentifier),
+    this.key('subjectPrivateKey').octstr()
+  )
+})
+exports.PrivateKey = PrivateKeyInfo
+var EncryptedPrivateKeyInfo = asn1.define('EncryptedPrivateKeyInfo', function () {
+  this.seq().obj(
+    this.key('algorithm').seq().obj(
+      this.key('id').objid(),
+      this.key('decrypt').seq().obj(
+        this.key('kde').seq().obj(
+          this.key('id').objid(),
+          this.key('kdeparams').seq().obj(
+            this.key('salt').octstr(),
+            this.key('iters').int()
+          )
+        ),
+        this.key('cipher').seq().obj(
+          this.key('algo').objid(),
+          this.key('iv').octstr()
+        )
+      )
+    ),
+    this.key('subjectPrivateKey').octstr()
+  )
+})
+
+exports.EncryptedPrivateKey = EncryptedPrivateKeyInfo
+
+var DSAPrivateKey = asn1.define('DSAPrivateKey', function () {
+  this.seq().obj(
+    this.key('version').int(),
+    this.key('p').int(),
+    this.key('q').int(),
+    this.key('g').int(),
+    this.key('pub_key').int(),
+    this.key('priv_key').int()
+  )
+})
+exports.DSAPrivateKey = DSAPrivateKey
+
+exports.DSAparam = asn1.define('DSAparam', function () {
+  this.int()
+})
+
+var ECPrivateKey = asn1.define('ECPrivateKey', function () {
+  this.seq().obj(
+    this.key('version').int(),
+    this.key('privateKey').octstr(),
+    this.key('parameters').optional().explicit(0).use(ECParameters),
+    this.key('publicKey').optional().explicit(1).bitstr()
+  )
+})
+exports.ECPrivateKey = ECPrivateKey
+
+var ECParameters = asn1.define('ECParameters', function () {
+  this.choice({
+    namedCurve: this.objid()
+  })
+})
+
+exports.signature = asn1.define('signature', function () {
+  this.seq().obj(
+    this.key('r').int(),
+    this.key('s').int()
+  )
+})
+
+},{"asn1.js":168,"./certificate":162}],142:[function(require,module,exports) {
+module.exports = {"2.16.840.1.101.3.4.1.1": "aes-128-ecb",
+"2.16.840.1.101.3.4.1.2": "aes-128-cbc",
+"2.16.840.1.101.3.4.1.3": "aes-128-ofb",
+"2.16.840.1.101.3.4.1.4": "aes-128-cfb",
+"2.16.840.1.101.3.4.1.21": "aes-192-ecb",
+"2.16.840.1.101.3.4.1.22": "aes-192-cbc",
+"2.16.840.1.101.3.4.1.23": "aes-192-ofb",
+"2.16.840.1.101.3.4.1.24": "aes-192-cfb",
+"2.16.840.1.101.3.4.1.41": "aes-256-ecb",
+"2.16.840.1.101.3.4.1.42": "aes-256-cbc",
+"2.16.840.1.101.3.4.1.43": "aes-256-ofb",
+"2.16.840.1.101.3.4.1.44": "aes-256-cfb"
+};
+},{}],147:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+// adapted from https://github.com/apatil/pemstrip
+var findProc = /Proc-Type: 4,ENCRYPTED[\n\r]+DEK-Info: AES-((?:128)|(?:192)|(?:256))-CBC,([0-9A-H]+)[\n\r]+([0-9A-z\n\r\+\/\=]+)[\n\r]+/m
+var startRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----/m
+var fullRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----([0-9A-z\n\r\+\/\=]+)-----END \1-----$/m
+var evp = require('evp_bytestokey')
+var ciphers = require('browserify-aes')
+module.exports = function (okey, password) {
+  var key = okey.toString()
+  var match = key.match(findProc)
+  var decrypted
+  if (!match) {
+    var match2 = key.match(fullRegex)
+    decrypted = new Buffer(match2[2].replace(/[\r\n]/g, ''), 'base64')
+  } else {
+    var suite = 'aes' + match[1]
+    var iv = new Buffer(match[2], 'hex')
+    var cipherText = new Buffer(match[3].replace(/[\r\n]/g, ''), 'base64')
+    var cipherKey = evp(password, iv.slice(0, 8), parseInt(match[1], 10)).key
+    var out = []
+    var cipher = ciphers.createDecipheriv(suite, cipherKey, iv)
+    out.push(cipher.update(cipherText))
+    out.push(cipher.final())
+    decrypted = Buffer.concat(out)
+  }
+  var tag = key.match(startRegex)[1]
+  return {
+    tag: tag,
+    data: decrypted
+  }
+}
+
+},{"evp_bytestokey":104,"browserify-aes":106,"buffer":62}],122:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var asn1 = require('./asn1')
+var aesid = require('./aesid.json')
+var fixProc = require('./fixProc')
+var ciphers = require('browserify-aes')
+var compat = require('pbkdf2')
+module.exports = parseKeys
+
+function parseKeys (buffer) {
+  var password
+  if (typeof buffer === 'object' && !Buffer.isBuffer(buffer)) {
+    password = buffer.passphrase
+    buffer = buffer.key
+  }
+  if (typeof buffer === 'string') {
+    buffer = new Buffer(buffer)
+  }
+
+  var stripped = fixProc(buffer, password)
+
+  var type = stripped.tag
+  var data = stripped.data
+  var subtype, ndata
+  switch (type) {
+    case 'CERTIFICATE':
+      ndata = asn1.certificate.decode(data, 'der').tbsCertificate.subjectPublicKeyInfo
+      // falls through
+    case 'PUBLIC KEY':
+      if (!ndata) {
+        ndata = asn1.PublicKey.decode(data, 'der')
+      }
+      subtype = ndata.algorithm.algorithm.join('.')
+      switch (subtype) {
+        case '1.2.840.113549.1.1.1':
+          return asn1.RSAPublicKey.decode(ndata.subjectPublicKey.data, 'der')
+        case '1.2.840.10045.2.1':
+          ndata.subjectPrivateKey = ndata.subjectPublicKey
+          return {
+            type: 'ec',
+            data: ndata
+          }
+        case '1.2.840.10040.4.1':
+          ndata.algorithm.params.pub_key = asn1.DSAparam.decode(ndata.subjectPublicKey.data, 'der')
+          return {
+            type: 'dsa',
+            data: ndata.algorithm.params
+          }
+        default: throw new Error('unknown key id ' + subtype)
+      }
+      throw new Error('unknown key type ' + type)
+    case 'ENCRYPTED PRIVATE KEY':
+      data = asn1.EncryptedPrivateKey.decode(data, 'der')
+      data = decrypt(data, password)
+      // falls through
+    case 'PRIVATE KEY':
+      ndata = asn1.PrivateKey.decode(data, 'der')
+      subtype = ndata.algorithm.algorithm.join('.')
+      switch (subtype) {
+        case '1.2.840.113549.1.1.1':
+          return asn1.RSAPrivateKey.decode(ndata.subjectPrivateKey, 'der')
+        case '1.2.840.10045.2.1':
+          return {
+            curve: ndata.algorithm.curve,
+            privateKey: asn1.ECPrivateKey.decode(ndata.subjectPrivateKey, 'der').privateKey
+          }
+        case '1.2.840.10040.4.1':
+          ndata.algorithm.params.priv_key = asn1.DSAparam.decode(ndata.subjectPrivateKey, 'der')
+          return {
+            type: 'dsa',
+            params: ndata.algorithm.params
+          }
+        default: throw new Error('unknown key id ' + subtype)
+      }
+      throw new Error('unknown key type ' + type)
+    case 'RSA PUBLIC KEY':
+      return asn1.RSAPublicKey.decode(data, 'der')
+    case 'RSA PRIVATE KEY':
+      return asn1.RSAPrivateKey.decode(data, 'der')
+    case 'DSA PRIVATE KEY':
+      return {
+        type: 'dsa',
+        params: asn1.DSAPrivateKey.decode(data, 'der')
+      }
+    case 'EC PRIVATE KEY':
+      data = asn1.ECPrivateKey.decode(data, 'der')
+      return {
+        curve: data.parameters.value,
+        privateKey: data.privateKey
+      }
+    default: throw new Error('unknown key type ' + type)
+  }
+}
+parseKeys.signature = asn1.signature
+function decrypt (data, password) {
+  var salt = data.algorithm.decrypt.kde.kdeparams.salt
+  var iters = parseInt(data.algorithm.decrypt.kde.kdeparams.iters.toString(), 10)
+  var algo = aesid[data.algorithm.decrypt.cipher.algo.join('.')]
+  var iv = data.algorithm.decrypt.cipher.iv
+  var cipherText = data.subjectPrivateKey
+  var keylen = parseInt(algo.split('-')[1], 10) / 8
+  var key = compat.pbkdf2Sync(password, salt, iters, keylen)
+  var cipher = ciphers.createDecipheriv(algo, key, iv)
+  var out = []
+  out.push(cipher.update(cipherText))
+  out.push(cipher.final())
+  return Buffer.concat(out)
+}
+
+},{"./asn1":146,"./aesid.json":142,"./fixProc":147,"browserify-aes":106,"pbkdf2":77,"buffer":62}],125:[function(require,module,exports) {
+module.exports = {
+  "1.3.132.0.10": "secp256k1",
+  "1.3.132.0.33": "p224",
+  "1.2.840.10045.3.1.1": "p192",
+  "1.2.840.10045.3.1.7": "p256",
+  "1.3.132.0.34": "p384",
+  "1.3.132.0.35": "p521"
+}
+;
+},{}],95:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js
+var createHmac = require('create-hmac')
+var crt = require('browserify-rsa')
+var EC = require('elliptic').ec
+var BN = require('bn.js')
+var parseKeys = require('parse-asn1')
+var curves = require('./curves.json')
+
+function sign (hash, key, hashType, signType, tag) {
+  var priv = parseKeys(key)
+  if (priv.curve) {
+    // rsa keys can be interpreted as ecdsa ones in openssl
+    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')
+    return ecSign(hash, priv)
+  } else if (priv.type === 'dsa') {
+    if (signType !== 'dsa') throw new Error('wrong private key type')
+    return dsaSign(hash, priv, hashType)
+  } else {
+    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')
+  }
+  hash = Buffer.concat([tag, hash])
+  var len = priv.modulus.byteLength()
+  var pad = [ 0, 1 ]
+  while (hash.length + pad.length + 1 < len) pad.push(0xff)
+  pad.push(0x00)
+  var i = -1
+  while (++i < hash.length) pad.push(hash[i])
+
+  var out = crt(pad, priv)
+  return out
+}
+
+function ecSign (hash, priv) {
+  var curveId = curves[priv.curve.join('.')]
+  if (!curveId) throw new Error('unknown curve ' + priv.curve.join('.'))
+
+  var curve = new EC(curveId)
+  var key = curve.keyFromPrivate(priv.privateKey)
+  var out = key.sign(hash)
+
+  return new Buffer(out.toDER())
+}
+
+function dsaSign (hash, priv, algo) {
+  var x = priv.params.priv_key
+  var p = priv.params.p
+  var q = priv.params.q
+  var g = priv.params.g
+  var r = new BN(0)
+  var k
+  var H = bits2int(hash, q).mod(q)
+  var s = false
+  var kv = getKey(x, q, hash, algo)
+  while (s === false) {
+    k = makeKey(q, kv, algo)
+    r = makeR(g, k, p, q)
+    s = k.invm(q).imul(H.add(x.mul(r))).mod(q)
+    if (s.cmpn(0) === 0) {
+      s = false
+      r = new BN(0)
+    }
+  }
+  return toDER(r, s)
+}
+
+function toDER (r, s) {
+  r = r.toArray()
+  s = s.toArray()
+
+  // Pad values
+  if (r[0] & 0x80) r = [ 0 ].concat(r)
+  if (s[0] & 0x80) s = [ 0 ].concat(s)
+
+  var total = r.length + s.length + 4
+  var res = [ 0x30, total, 0x02, r.length ]
+  res = res.concat(r, [ 0x02, s.length ], s)
+  return new Buffer(res)
+}
+
+function getKey (x, q, hash, algo) {
+  x = new Buffer(x.toArray())
+  if (x.length < q.byteLength()) {
+    var zeros = new Buffer(q.byteLength() - x.length)
+    zeros.fill(0)
+    x = Buffer.concat([ zeros, x ])
+  }
+  var hlen = hash.length
+  var hbits = bits2octets(hash, q)
+  var v = new Buffer(hlen)
+  v.fill(1)
+  var k = new Buffer(hlen)
+  k.fill(0)
+  k = createHmac(algo, k).update(v).update(new Buffer([ 0 ])).update(x).update(hbits).digest()
+  v = createHmac(algo, k).update(v).digest()
+  k = createHmac(algo, k).update(v).update(new Buffer([ 1 ])).update(x).update(hbits).digest()
+  v = createHmac(algo, k).update(v).digest()
+  return { k: k, v: v }
+}
+
+function bits2int (obits, q) {
+  var bits = new BN(obits)
+  var shift = (obits.length << 3) - q.bitLength()
+  if (shift > 0) bits.ishrn(shift)
+  return bits
+}
+
+function bits2octets (bits, q) {
+  bits = bits2int(bits, q)
+  bits = bits.mod(q)
+  var out = new Buffer(bits.toArray())
+  if (out.length < q.byteLength()) {
+    var zeros = new Buffer(q.byteLength() - out.length)
+    zeros.fill(0)
+    out = Buffer.concat([ zeros, out ])
+  }
+  return out
+}
+
+function makeKey (q, kv, algo) {
+  var t
+  var k
+
+  do {
+    t = new Buffer(0)
+
+    while (t.length * 8 < q.bitLength()) {
+      kv.v = createHmac(algo, kv.k).update(kv.v).digest()
+      t = Buffer.concat([ t, kv.v ])
+    }
+
+    k = bits2int(t, q)
+    kv.k = createHmac(algo, kv.k).update(kv.v).update(new Buffer([ 0 ])).digest()
+    kv.v = createHmac(algo, kv.k).update(kv.v).digest()
+  } while (k.cmp(q) !== -1)
+
+  return k
+}
+
+function makeR (g, k, p, q) {
+  return g.toRed(BN.mont(p)).redPow(k).fromRed().mod(q)
+}
+
+module.exports = sign
+module.exports.getKey = getKey
+module.exports.makeKey = makeKey
+
+},{"create-hmac":76,"browserify-rsa":123,"elliptic":108,"bn.js":109,"parse-asn1":122,"./curves.json":125,"buffer":62}],96:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js
+var BN = require('bn.js')
+var EC = require('elliptic').ec
+var parseKeys = require('parse-asn1')
+var curves = require('./curves.json')
+
+function verify (sig, hash, key, signType, tag) {
+  var pub = parseKeys(key)
+  if (pub.type === 'ec') {
+    // rsa keys can be interpreted as ecdsa ones in openssl
+    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')
+    return ecVerify(sig, hash, pub)
+  } else if (pub.type === 'dsa') {
+    if (signType !== 'dsa') throw new Error('wrong public key type')
+    return dsaVerify(sig, hash, pub)
+  } else {
+    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')
+  }
+  hash = Buffer.concat([tag, hash])
+  var len = pub.modulus.byteLength()
+  var pad = [ 1 ]
+  var padNum = 0
+  while (hash.length + pad.length + 2 < len) {
+    pad.push(0xff)
+    padNum++
+  }
+  pad.push(0x00)
+  var i = -1
+  while (++i < hash.length) {
+    pad.push(hash[i])
+  }
+  pad = new Buffer(pad)
+  var red = BN.mont(pub.modulus)
+  sig = new BN(sig).toRed(red)
+
+  sig = sig.redPow(new BN(pub.publicExponent))
+  sig = new Buffer(sig.fromRed().toArray())
+  var out = padNum < 8 ? 1 : 0
+  len = Math.min(sig.length, pad.length)
+  if (sig.length !== pad.length) out = 1
+
+  i = -1
+  while (++i < len) out |= sig[i] ^ pad[i]
+  return out === 0
+}
+
+function ecVerify (sig, hash, pub) {
+  var curveId = curves[pub.data.algorithm.curve.join('.')]
+  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))
+
+  var curve = new EC(curveId)
+  var pubkey = pub.data.subjectPrivateKey.data
+
+  return curve.verify(hash, sig, pubkey)
+}
+
+function dsaVerify (sig, hash, pub) {
+  var p = pub.data.p
+  var q = pub.data.q
+  var g = pub.data.g
+  var y = pub.data.pub_key
+  var unpacked = parseKeys.signature.decode(sig, 'der')
+  var s = unpacked.s
+  var r = unpacked.r
+  checkValue(s, q)
+  checkValue(r, q)
+  var montp = BN.mont(p)
+  var w = s.invm(q)
+  var v = g.toRed(montp)
+    .redPow(new BN(hash).mul(w).mod(q))
+    .fromRed()
+    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())
+    .mod(p)
+    .mod(q)
+  return v.cmp(r) === 0
+}
+
+function checkValue (b, q) {
+  if (b.cmpn(0) <= 0) throw new Error('invalid sig')
+  if (b.cmp(q) >= q) throw new Error('invalid sig')
+}
+
+module.exports = verify
+
+},{"bn.js":109,"elliptic":108,"parse-asn1":122,"./curves.json":125,"buffer":62}],80:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var createHash = require('create-hash')
+var stream = require('stream')
+var inherits = require('inherits')
+var sign = require('./sign')
+var verify = require('./verify')
+
+var algorithms = require('./algorithms.json')
+Object.keys(algorithms).forEach(function (key) {
+  algorithms[key].id = new Buffer(algorithms[key].id, 'hex')
+  algorithms[key.toLowerCase()] = algorithms[key]
+})
+
+function Sign (algorithm) {
+  stream.Writable.call(this)
+
+  var data = algorithms[algorithm]
+  if (!data) throw new Error('Unknown message digest')
+
+  this._hashType = data.hash
+  this._hash = createHash(data.hash)
+  this._tag = data.id
+  this._signType = data.sign
+}
+inherits(Sign, stream.Writable)
+
+Sign.prototype._write = function _write (data, _, done) {
+  this._hash.update(data)
+  done()
+}
+
+Sign.prototype.update = function update (data, enc) {
+  if (typeof data === 'string') data = new Buffer(data, enc)
+
+  this._hash.update(data)
+  return this
+}
+
+Sign.prototype.sign = function signMethod (key, enc) {
+  this.end()
+  var hash = this._hash.digest()
+  var sig = sign(hash, key, this._hashType, this._signType, this._tag)
+
+  return enc ? sig.toString(enc) : sig
+}
+
+function Verify (algorithm) {
+  stream.Writable.call(this)
+
+  var data = algorithms[algorithm]
+  if (!data) throw new Error('Unknown message digest')
+
+  this._hash = createHash(data.hash)
+  this._tag = data.id
+  this._signType = data.sign
+}
+inherits(Verify, stream.Writable)
+
+Verify.prototype._write = function _write (data, _, done) {
+  this._hash.update(data)
+  done()
+}
+
+Verify.prototype.update = function update (data, enc) {
+  if (typeof data === 'string') data = new Buffer(data, enc)
+
+  this._hash.update(data)
+  return this
+}
+
+Verify.prototype.verify = function verifyMethod (key, sig, enc) {
+  if (typeof sig === 'string') sig = new Buffer(sig, enc)
+
+  this.end()
+  var hash = this._hash.digest()
+  return verify(sig, hash, key, this._signType, this._tag)
+}
+
+function createSign (algorithm) {
+  return new Sign(algorithm)
+}
+
+function createVerify (algorithm) {
+  return new Verify(algorithm)
+}
+
+module.exports = {
+  Sign: createSign,
+  Verify: createVerify,
+  createSign: createSign,
+  createVerify: createVerify
+}
+
+},{"create-hash":75,"stream":105,"inherits":97,"./sign":95,"./verify":96,"./algorithms.json":88,"buffer":62}],83:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var elliptic = require('elliptic')
+var BN = require('bn.js')
+
+module.exports = function createECDH (curve) {
+  return new ECDH(curve)
+}
+
+var aliases = {
+  secp256k1: {
+    name: 'secp256k1',
+    byteLength: 32
+  },
+  secp224r1: {
+    name: 'p224',
+    byteLength: 28
+  },
+  prime256v1: {
+    name: 'p256',
+    byteLength: 32
+  },
+  prime192v1: {
+    name: 'p192',
+    byteLength: 24
+  },
+  ed25519: {
+    name: 'ed25519',
+    byteLength: 32
+  },
+  secp384r1: {
+    name: 'p384',
+    byteLength: 48
+  },
+  secp521r1: {
+    name: 'p521',
+    byteLength: 66
+  }
+}
+
+aliases.p224 = aliases.secp224r1
+aliases.p256 = aliases.secp256r1 = aliases.prime256v1
+aliases.p192 = aliases.secp192r1 = aliases.prime192v1
+aliases.p384 = aliases.secp384r1
+aliases.p521 = aliases.secp521r1
+
+function ECDH (curve) {
+  this.curveType = aliases[curve]
+  if (!this.curveType) {
+    this.curveType = {
+      name: curve
+    }
+  }
+  this.curve = new elliptic.ec(this.curveType.name) // eslint-disable-line new-cap
+  this.keys = void 0
+}
+
+ECDH.prototype.generateKeys = function (enc, format) {
+  this.keys = this.curve.genKeyPair()
+  return this.getPublicKey(enc, format)
+}
+
+ECDH.prototype.computeSecret = function (other, inenc, enc) {
+  inenc = inenc || 'utf8'
+  if (!Buffer.isBuffer(other)) {
+    other = new Buffer(other, inenc)
+  }
+  var otherPub = this.curve.keyFromPublic(other).getPublic()
+  var out = otherPub.mul(this.keys.getPrivate()).getX()
+  return formatReturnValue(out, enc, this.curveType.byteLength)
+}
+
+ECDH.prototype.getPublicKey = function (enc, format) {
+  var key = this.keys.getPublic(format === 'compressed', true)
+  if (format === 'hybrid') {
+    if (key[key.length - 1] % 2) {
+      key[0] = 7
+    } else {
+      key[0] = 6
+    }
+  }
+  return formatReturnValue(key, enc)
+}
+
+ECDH.prototype.getPrivateKey = function (enc) {
+  return formatReturnValue(this.keys.getPrivate(), enc)
+}
+
+ECDH.prototype.setPublicKey = function (pub, enc) {
+  enc = enc || 'utf8'
+  if (!Buffer.isBuffer(pub)) {
+    pub = new Buffer(pub, enc)
+  }
+  this.keys._importPublic(pub)
+  return this
+}
+
+ECDH.prototype.setPrivateKey = function (priv, enc) {
+  enc = enc || 'utf8'
+  if (!Buffer.isBuffer(priv)) {
+    priv = new Buffer(priv, enc)
+  }
+
+  var _priv = new BN(priv)
+  _priv = _priv.toString(16)
+  this.keys = this.curve.genKeyPair()
+  this.keys._importPrivate(_priv)
+  return this
+}
+
+function formatReturnValue (bn, enc, len) {
+  if (!Array.isArray(bn)) {
+    bn = bn.toArray()
+  }
+  var buf = new Buffer(bn)
+  if (len && buf.length < len) {
+    var zeros = new Buffer(len - buf.length)
+    zeros.fill(0)
+    buf = Buffer.concat([zeros, buf])
+  }
+  if (!enc) {
+    return buf
+  } else {
+    return buf.toString(enc)
+  }
+}
+
+},{"elliptic":108,"bn.js":109,"buffer":62}],110:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var createHash = require('create-hash');
+module.exports = function (seed, len) {
+  var t = new Buffer('');
+  var  i = 0, c;
+  while (t.length < len) {
+    c = i2ops(i++);
+    t = Buffer.concat([t, createHash('sha1').update(seed).update(c).digest()]);
+  }
+  return t.slice(0, len);
+};
+
+function i2ops(c) {
+  var out = new Buffer(4);
+  out.writeUInt32BE(c,0);
+  return out;
+}
+},{"create-hash":75,"buffer":62}],111:[function(require,module,exports) {
+module.exports = function xor(a, b) {
+  var len = a.length;
+  var i = -1;
+  while (++i < len) {
+    a[i] ^= b[i];
+  }
+  return a
+};
+},{}],112:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var bn = require('bn.js');
+function withPublic(paddedMsg, key) {
+  return new Buffer(paddedMsg
+    .toRed(bn.mont(key.modulus))
+    .redPow(new bn(key.publicExponent))
+    .fromRed()
+    .toArray());
+}
+
+module.exports = withPublic;
+},{"bn.js":109,"buffer":62}],85:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var parseKeys = require('parse-asn1');
+var randomBytes = require('randombytes');
+var createHash = require('create-hash');
+var mgf = require('./mgf');
+var xor = require('./xor');
+var bn = require('bn.js');
+var withPublic = require('./withPublic');
+var crt = require('browserify-rsa');
+
+var constants = {
+  RSA_PKCS1_OAEP_PADDING: 4,
+  RSA_PKCS1_PADDIN: 1,
+  RSA_NO_PADDING: 3
+};
+
+module.exports = function publicEncrypt(public_key, msg, reverse) {
+  var padding;
+  if (public_key.padding) {
+    padding = public_key.padding;
+  } else if (reverse) {
+    padding = 1;
+  } else {
+    padding = 4;
+  }
+  var key = parseKeys(public_key);
+  var paddedMsg;
+  if (padding === 4) {
+    paddedMsg = oaep(key, msg);
+  } else if (padding === 1) {
+    paddedMsg = pkcs1(key, msg, reverse);
+  } else if (padding === 3) {
+    paddedMsg = new bn(msg);
+    if (paddedMsg.cmp(key.modulus) >= 0) {
+      throw new Error('data too long for modulus');
+    }
+  } else {
+    throw new Error('unknown padding');
+  }
+  if (reverse) {
+    return crt(paddedMsg, key);
+  } else {
+    return withPublic(paddedMsg, key);
+  }
+};
+
+function oaep(key, msg){
+  var k = key.modulus.byteLength();
+  var mLen = msg.length;
+  var iHash = createHash('sha1').update(new Buffer('')).digest();
+  var hLen = iHash.length;
+  var hLen2 = 2 * hLen;
+  if (mLen > k - hLen2 - 2) {
+    throw new Error('message too long');
+  }
+  var ps = new Buffer(k - mLen - hLen2 - 2);
+  ps.fill(0);
+  var dblen = k - hLen - 1;
+  var seed = randomBytes(hLen);
+  var maskedDb = xor(Buffer.concat([iHash, ps, new Buffer([1]), msg], dblen), mgf(seed, dblen));
+  var maskedSeed = xor(seed, mgf(maskedDb, hLen));
+  return new bn(Buffer.concat([new Buffer([0]), maskedSeed, maskedDb], k));
+}
+function pkcs1(key, msg, reverse){
+  var mLen = msg.length;
+  var k = key.modulus.byteLength();
+  if (mLen > k - 11) {
+    throw new Error('message too long');
+  }
+  var ps;
+  if (reverse) {
+    ps = new Buffer(k - mLen - 3);
+    ps.fill(0xff);
+  } else {
+    ps = nonZero(k - mLen - 3);
+  }
+  return new bn(Buffer.concat([new Buffer([0, reverse?1:2]), ps, new Buffer([0]), msg], k));
+}
+function nonZero(len, crypto) {
+  var out = new Buffer(len);
+  var i = 0;
+  var cache = randomBytes(len*2);
+  var cur = 0;
+  var num;
+  while (i < len) {
+    if (cur === cache.length) {
+      cache = randomBytes(len*2);
+      cur = 0;
+    }
+    num = cache[cur++];
+    if (num) {
+      out[i++] = num;
+    }
+  }
+  return out;
+}
+},{"parse-asn1":122,"randombytes":74,"create-hash":75,"./mgf":110,"./xor":111,"bn.js":109,"./withPublic":112,"browserify-rsa":123,"buffer":62}],86:[function(require,module,exports) {
+var Buffer = require("buffer").Buffer;
+var parseKeys = require('parse-asn1');
+var mgf = require('./mgf');
+var xor = require('./xor');
+var bn = require('bn.js');
+var crt = require('browserify-rsa');
+var createHash = require('create-hash');
+var withPublic = require('./withPublic');
+module.exports = function privateDecrypt(private_key, enc, reverse) {
+  var padding;
+  if (private_key.padding) {
+    padding = private_key.padding;
+  } else if (reverse) {
+    padding = 1;
+  } else {
+    padding = 4;
+  }
+  
+  var key = parseKeys(private_key);
+  var k = key.modulus.byteLength();
+  if (enc.length > k || new bn(enc).cmp(key.modulus) >= 0) {
+    throw new Error('decryption error');
+  }
+  var msg;
+  if (reverse) {
+    msg = withPublic(new bn(enc), key);
+  } else {
+    msg = crt(enc, key);
+  }
+  var zBuffer = new Buffer(k - msg.length);
+  zBuffer.fill(0);
+  msg = Buffer.concat([zBuffer, msg], k);
+  if (padding === 4) {
+    return oaep(key, msg);
+  } else if (padding === 1) {
+    return pkcs1(key, msg, reverse);
+  } else if (padding === 3) {
+    return msg;
+  } else {
+    throw new Error('unknown padding');
+  }
+};
+
+function oaep(key, msg){
+  var n = key.modulus;
+  var k = key.modulus.byteLength();
+  var mLen = msg.length;
+  var iHash = createHash('sha1').update(new Buffer('')).digest();
+  var hLen = iHash.length;
+  var hLen2 = 2 * hLen;
+  if (msg[0] !== 0) {
+    throw new Error('decryption error');
+  }
+  var maskedSeed = msg.slice(1, hLen + 1);
+  var maskedDb =  msg.slice(hLen + 1);
+  var seed = xor(maskedSeed, mgf(maskedDb, hLen));
+  var db = xor(maskedDb, mgf(seed, k - hLen - 1));
+  if (compare(iHash, db.slice(0, hLen))) {
+    throw new Error('decryption error');
+  }
+  var i = hLen;
+  while (db[i] === 0) {
+    i++;
+  }
+  if (db[i++] !== 1) {
+    throw new Error('decryption error');
+  }
+  return db.slice(i);
+}
+
+function pkcs1(key, msg, reverse){
+  var p1 = msg.slice(0, 2);
+  var i = 2;
+  var status = 0;
+  while (msg[i++] !== 0) {
+    if (i >= msg.length) {
+      status++;
+      break;
+    }
+  }
+  var ps = msg.slice(2, i - 1);
+  var p2 = msg.slice(i - 1, i);
+
+  if ((p1.toString('hex') !== '0002' && !reverse) || (p1.toString('hex') !== '0001' && reverse)){
+    status++;
+  }
+  if (ps.length < 8) {
+    status++;
+  }
+  if (status) {
+    throw new Error('decryption error');
+  }
+  return  msg.slice(i);
+}
+function compare(a, b){
+  a = new Buffer(a);
+  b = new Buffer(b);
+  var dif = 0;
+  var len = a.length;
+  if (a.length !== b.length) {
+    dif++;
+    len = Math.min(a.length, b.length);
+  }
+  var i = -1;
+  while (++i < len) {
+    dif += (a[i] ^ b[i]);
+  }
+  return dif;
+}
+},{"parse-asn1":122,"./mgf":110,"./xor":111,"bn.js":109,"browserify-rsa":123,"create-hash":75,"./withPublic":112,"buffer":62}],81:[function(require,module,exports) {
+exports.publicEncrypt = require('./publicEncrypt');
+exports.privateDecrypt = require('./privateDecrypt');
+
+exports.privateEncrypt = function privateEncrypt(key, buf) {
+  return exports.publicEncrypt(key, buf, true);
+};
+
+exports.publicDecrypt = function publicDecrypt(key, buf) {
+  return exports.privateDecrypt(key, buf, true);
+};
+},{"./publicEncrypt":85,"./privateDecrypt":86}],82:[function(require,module,exports) {
+
+var global = arguments[3];
+var process = require("process");
+'use strict'
+
+function oldBrowser () {
+  throw new Error('secure random number generation not supported by this browser\nuse chrome, FireFox or Internet Explorer 11')
+}
+var safeBuffer = require('safe-buffer')
+var randombytes = require('randombytes')
+var Buffer = safeBuffer.Buffer
+var kBufferMaxLength = safeBuffer.kMaxLength
+var crypto = global.crypto || global.msCrypto
+var kMaxUint32 = Math.pow(2, 32) - 1
+function assertOffset (offset, length) {
+  if (typeof offset !== 'number' || offset !== offset) { // eslint-disable-line no-self-compare
+    throw new TypeError('offset must be a number')
+  }
+
+  if (offset > kMaxUint32 || offset < 0) {
+    throw new TypeError('offset must be a uint32')
+  }
+
+  if (offset > kBufferMaxLength || offset > length) {
+    throw new RangeError('offset out of range')
+  }
+}
+
+function assertSize (size, offset, length) {
+  if (typeof size !== 'number' || size !== size) { // eslint-disable-line no-self-compare
+    throw new TypeError('size must be a number')
+  }
+
+  if (size > kMaxUint32 || size < 0) {
+    throw new TypeError('size must be a uint32')
+  }
+
+  if (size + offset > length || size > kBufferMaxLength) {
+    throw new RangeError('buffer too small')
+  }
+}
+if ((crypto && crypto.getRandomValues) || !process.browser) {
+  exports.randomFill = randomFill
+  exports.randomFillSync = randomFillSync
+} else {
+  exports.randomFill = oldBrowser
+  exports.randomFillSync = oldBrowser
+}
+function randomFill (buf, offset, size, cb) {
+  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {
+    throw new TypeError('"buf" argument must be a Buffer or Uint8Array')
+  }
+
+  if (typeof offset === 'function') {
+    cb = offset
+    offset = 0
+    size = buf.length
+  } else if (typeof size === 'function') {
+    cb = size
+    size = buf.length - offset
+  } else if (typeof cb !== 'function') {
+    throw new TypeError('"cb" argument must be a function')
+  }
+  assertOffset(offset, buf.length)
+  assertSize(size, offset, buf.length)
+  return actualFill(buf, offset, size, cb)
+}
+
+function actualFill (buf, offset, size, cb) {
+  if (process.browser) {
+    var ourBuf = buf.buffer
+    var uint = new Uint8Array(ourBuf, offset, size)
+    crypto.getRandomValues(uint)
+    if (cb) {
+      process.nextTick(function () {
+        cb(null, buf)
+      })
+      return
+    }
+    return buf
+  }
+  if (cb) {
+    randombytes(size, function (err, bytes) {
+      if (err) {
+        return cb(err)
+      }
+      bytes.copy(buf, offset)
+      cb(null, buf)
+    })
+    return
+  }
+  var bytes = randombytes(size)
+  bytes.copy(buf, offset)
+  return buf
+}
+function randomFillSync (buf, offset, size) {
+  if (typeof offset === 'undefined') {
+    offset = 0
+  }
+  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {
+    throw new TypeError('"buf" argument must be a Buffer or Uint8Array')
+  }
+
+  assertOffset(offset, buf.length)
+
+  if (size === undefined) size = buf.length - offset
+
+  assertSize(size, offset, buf.length)
+
+  return actualFill(buf, offset, size)
+}
+
+},{"safe-buffer":98,"randombytes":74,"process":6}],73:[function(require,module,exports) {
+'use strict'
+
+exports.randomBytes = exports.rng = exports.pseudoRandomBytes = exports.prng = require('randombytes')
+exports.createHash = exports.Hash = require('create-hash')
+exports.createHmac = exports.Hmac = require('create-hmac')
+
+var algos = require('browserify-sign/algos')
+var algoKeys = Object.keys(algos)
+var hashes = ['sha1', 'sha224', 'sha256', 'sha384', 'sha512', 'md5', 'rmd160'].concat(algoKeys)
+exports.getHashes = function () {
+  return hashes
+}
+
+var p = require('pbkdf2')
+exports.pbkdf2 = p.pbkdf2
+exports.pbkdf2Sync = p.pbkdf2Sync
+
+var aes = require('browserify-cipher')
+
+exports.Cipher = aes.Cipher
+exports.createCipher = aes.createCipher
+exports.Cipheriv = aes.Cipheriv
+exports.createCipheriv = aes.createCipheriv
+exports.Decipher = aes.Decipher
+exports.createDecipher = aes.createDecipher
+exports.Decipheriv = aes.Decipheriv
+exports.createDecipheriv = aes.createDecipheriv
+exports.getCiphers = aes.getCiphers
+exports.listCiphers = aes.listCiphers
+
+var dh = require('diffie-hellman')
+
+exports.DiffieHellmanGroup = dh.DiffieHellmanGroup
+exports.createDiffieHellmanGroup = dh.createDiffieHellmanGroup
+exports.getDiffieHellman = dh.getDiffieHellman
+exports.createDiffieHellman = dh.createDiffieHellman
+exports.DiffieHellman = dh.DiffieHellman
+
+var sign = require('browserify-sign')
+
+exports.createSign = sign.createSign
+exports.Sign = sign.Sign
+exports.createVerify = sign.createVerify
+exports.Verify = sign.Verify
+
+exports.createECDH = require('create-ecdh')
+
+var publicEncrypt = require('public-encrypt')
+
+exports.publicEncrypt = publicEncrypt.publicEncrypt
+exports.privateEncrypt = publicEncrypt.privateEncrypt
+exports.publicDecrypt = publicEncrypt.publicDecrypt
+exports.privateDecrypt = publicEncrypt.privateDecrypt
+
+// the least I can do is make error messages for the rest of the node.js/crypto api.
+// ;[
+//   'createCredentials'
+// ].forEach(function (name) {
+//   exports[name] = function () {
+//     throw new Error([
+//       'sorry, ' + name + ' is not implemented yet',
+//       'we accept pull requests',
+//       'https://github.com/crypto-browserify/crypto-browserify'
+//     ].join('\n'))
+//   }
+// })
+
+var rf = require('randomfill')
+
+exports.randomFill = rf.randomFill
+exports.randomFillSync = rf.randomFillSync
+
+exports.createCredentials = function () {
+  throw new Error([
+    'sorry, createCredentials is not implemented yet',
+    'we accept pull requests',
+    'https://github.com/crypto-browserify/crypto-browserify'
+  ].join('\n'))
+}
+
+exports.constants = {
+  'DH_CHECK_P_NOT_SAFE_PRIME': 2,
+  'DH_CHECK_P_NOT_PRIME': 1,
+  'DH_UNABLE_TO_CHECK_GENERATOR': 4,
+  'DH_NOT_SUITABLE_GENERATOR': 8,
+  'NPN_ENABLED': 1,
+  'ALPN_ENABLED': 1,
+  'RSA_PKCS1_PADDING': 1,
+  'RSA_SSLV23_PADDING': 2,
+  'RSA_NO_PADDING': 3,
+  'RSA_PKCS1_OAEP_PADDING': 4,
+  'RSA_X931_PADDING': 5,
+  'RSA_PKCS1_PSS_PADDING': 6,
+  'POINT_CONVERSION_COMPRESSED': 2,
+  'POINT_CONVERSION_UNCOMPRESSED': 4,
+  'POINT_CONVERSION_HYBRID': 6
+}
+
+},{"randombytes":74,"create-hash":75,"create-hmac":76,"browserify-sign/algos":84,"pbkdf2":77,"browserify-cipher":78,"diffie-hellman":79,"browserify-sign":80,"create-ecdh":83,"public-encrypt":81,"randomfill":82}],8:[function(require,module,exports) {
+var global = arguments[3];
+var process = require("process");
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+/**
+ * @license
+ * Copyright 2018 Google LLC. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
+var extendStatics = Object.setPrototypeOf || { __proto__: [] } instanceof Array && function (e, t) {
+  e.__proto__ = t;
+} || function (e, t) {
+  for (var n in t) t.hasOwnProperty(n) && (e[n] = t[n]);
+};function __extends(e, t) {
+  function n() {
+    this.constructor = e;
+  }extendStatics(e, t), e.prototype = null === t ? Object.create(t) : (n.prototype = t.prototype, new n());
+}function __decorate(e, t, n, r) {
+  var a,
+      o = arguments.length,
+      i = o < 3 ? t : null === r ? r = Object.getOwnPropertyDescriptor(t, n) : r;if ("object" == typeof Reflect && "function" == typeof Reflect.decorate) i = Reflect.decorate(e, t, n, r);else for (var s = e.length - 1; s >= 0; s--) (a = e[s]) && (i = (o < 3 ? a(i) : o > 3 ? a(t, n, i) : a(t, n)) || i);return o > 3 && i && Object.defineProperty(t, n, i), i;
+}function __awaiter(e, t, n, r) {
+  return new (n || (n = Promise))(function (a, o) {
+    function i(e) {
+      try {
+        u(r.next(e));
+      } catch (e) {
+        o(e);
+      }
+    }function s(e) {
+      try {
+        u(r.throw(e));
+      } catch (e) {
+        o(e);
+      }
+    }function u(e) {
+      e.done ? a(e.value) : new n(function (t) {
+        t(e.value);
+      }).then(i, s);
+    }u((r = r.apply(e, t || [])).next());
+  });
+}function __generator(e, t) {
+  var n,
+      r,
+      a,
+      o,
+      i = { label: 0, sent: function () {
+      if (1 & a[0]) throw a[1];return a[1];
+    }, trys: [], ops: [] };return o = { next: s(0), throw: s(1), return: s(2) }, "function" == typeof Symbol && (o[Symbol.iterator] = function () {
+    return this;
+  }), o;function s(o) {
+    return function (s) {
+      return function (o) {
+        if (n) throw new TypeError("Generator is already executing.");for (; i;) try {
+          if (n = 1, r && (a = 2 & o[0] ? r.return : o[0] ? r.throw || ((a = r.return) && a.call(r), 0) : r.next) && !(a = a.call(r, o[1])).done) return a;switch (r = 0, a && (o = [2 & o[0], a.value]), o[0]) {case 0:case 1:
+              a = o;break;case 4:
+              return i.label++, { value: o[1], done: !1 };case 5:
+              i.label++, r = o[1], o = [0];continue;case 7:
+              o = i.ops.pop(), i.trys.pop();continue;default:
+              if (!(a = (a = i.trys).length > 0 && a[a.length - 1]) && (6 === o[0] || 2 === o[0])) {
+                i = 0;continue;
+              }if (3 === o[0] && (!a || o[1] > a[0] && o[1] < a[3])) {
+                i.label = o[1];break;
+              }if (6 === o[0] && i.label < a[1]) {
+                i.label = a[1], a = o;break;
+              }if (a && i.label < a[2]) {
+                i.label = a[2], i.ops.push(o);break;
+              }a[2] && i.ops.pop(), i.trys.pop();continue;}o = t.call(e, i);
+        } catch (e) {
+          o = [6, e], r = 0;
+        } finally {
+          n = a = 0;
+        }if (5 & o[0]) throw o[1];return { value: o[0] ? o[1] : void 0, done: !0 };
+      }([o, s]);
+    };
+  }
+}function isMobile() {
+  var e = navigator.userAgent || navigator.vendor || window.opera;return (/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(e) || /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(e.substr(0, 4))
+  );
+}function doc(e) {
+  return function () {
+    for (var e = [], t = 0; t < arguments.length; t++) e[t] = arguments[t];
+  };
+}function assertArgumentIsTensor(e, t, n) {
+  assert(e instanceof Tensor, "Argument '" + t + "' passed to '" + n + "' must be a Tensor, but got " + typeof e + ".");
+}function assertArgumentsAreTensors(e, t) {
+  var n = function (n) {
+    var r = e[n];Array.isArray(r) ? r.forEach(function (e, r) {
+      assertArgumentIsTensor(e, n + "[" + r + "]", t);
+    }) : assertArgumentIsTensor(r, n, t);
+  };for (var r in e) n(r);
+}function shuffle(e) {
+  for (var t = e.length, n = 0, r = 0; t > 0;) r = Math.random() * t | 0, n = e[--t], e[t] = e[r], e[r] = n;
+}function clamp(e, t, n) {
+  return Math.max(e, Math.min(t, n));
+}function randUniform(e, t) {
+  return Math.random() * (t - e) + e;
+}function distSquared(e, t) {
+  for (var n = 0, r = 0; r < e.length; r++) {
+    var a = Number(e[r]) - Number(t[r]);n += a * a;
+  }return n;
+}function assert(e, t) {
+  if (!e) throw new Error(t);
+}function assertShapesMatch(e, t, n) {
+  void 0 === n && (n = ""), assert(arraysEqual(e, t), n + " Shapes " + e + " and " + t + " must match");
+}function assertTypesMatch(e, t) {
+  assert(e.dtype === t.dtype, " The dtypes of the first(" + e.dtype + ") and second(" + t.dtype + ") input must match");
+}function flatten(e, t) {
+  if (void 0 === t && (t = []), Array.isArray(e)) for (var n = 0; n < e.length; ++n) flatten(e[n], t);else t.push(e);return t;
+}function inferShape(e) {
+  if (isTypedArray(e)) return [e.length];if (!Array.isArray(e)) return [];for (var t = []; e instanceof Array;) t.push(e.length), e = e[0];return t;
+}function sizeFromShape(e) {
+  if (0 === e.length) return 1;for (var t = e[0], n = 1; n < e.length; n++) t *= e[n];return t;
+}function isScalarShape(e) {
+  return 0 === e.length;
+}function arraysEqual(e, t) {
+  if (e.length !== t.length) return !1;for (var n = 0; n < e.length; n++) if (e[n] !== t[n]) return !1;return !0;
+}function isInt(e) {
+  return e % 1 == 0;
+}function tanh(e) {
+  if (null != Math.tanh) return Math.tanh(e);if (e === 1 / 0) return 1;if (e === -1 / 0) return -1;var t = Math.exp(2 * e);return (t - 1) / (t + 1);
+}function sizeToSquarishShape(e) {
+  for (var t = Math.floor(Math.sqrt(e)); t > 1; --t) if (e % t == 0) return [t, e / t];return [1, e];
+}function createShuffledIndices(e) {
+  for (var t = new Uint32Array(e), n = 0; n < e; ++n) t[n] = n;return shuffle(t), t;
+}function rightPad(e, t) {
+  return t <= e.length ? e : e + " ".repeat(t - e.length);
+}function repeatedTry(e, t, n) {
+  return void 0 === t && (t = function (e) {
+    return 0;
+  }), new Promise(function (r, a) {
+    var o = 0,
+        i = function () {
+      if (e()) r();else {
+        var s = t(++o);null != n && o >= n ? a() : setTimeout(i, s);
+      }
+    };i();
+  });
+}function getQueryParams(e) {
+  var t = {};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, function (e) {
+    for (var n = [], r = 1; r < arguments.length; r++) n[r - 1] = arguments[r];return decodeParam(t, n[0], n[1]), n.join("=");
+  }), t;
+}function decodeParam(e, t, n) {
+  e[decodeURIComponent(t)] = decodeURIComponent(n || "");
+}function inferFromImplicitShape(e, t) {
+  for (var n = 1, r = -1, a = 0; a < e.length; ++a) if (e[a] > 0) n *= e[a];else if (-1 === e[a]) {
+    if (-1 !== r) throw Error("Shapes can only have 1 implicit size. Found - 1 at dim " + r + " and dim " + a);r = a;
+  } else if (e[a] <= 0) throw Error("Shapes can not be <= 0. Found " + e[a] + " at dim " + a);if (-1 === r) {
+    if (t > 0 && t !== n) throw Error("Size(" + t + ") must match the product of shape " + e);return e;
+  }if (t % n != 0) throw Error("The implicit shape can't be a fractional number. Got " + t + " / " + n);var o = e.slice();return o[r] = t / n, o;
+}function squeezeShape(e, t) {
+  for (var n = [], r = [], a = 0, o = 0; o < e.length; ++o) {
+    if (null != t) {
+      if (t[a] === o && e[o] > 1) throw new Error("Can't squeeze axis " + o + " since its dim '" + e[o] + "' is not 1");(null == t[a] || t[a] > o) && 1 === e[o] && (n.push(e[o]), r.push(o)), t[a] <= o && a++;
+    }e[o] > 1 && (n.push(e[o]), r.push(o));
+  }return { newShape: n, keptDims: r };
+}function getTypedArrayFromDType(e, t) {
+  var n = null;if (null == e || "float32" === e) n = new Float32Array(t);else if ("int32" === e) n = new Int32Array(t);else {
+    if ("bool" !== e) throw new Error("Unknown data type " + e);n = new Uint8Array(t);
+  }return n;
+}function isTensorInList(e, t) {
+  for (var n = 0; n < t.length; n++) if (t[n].id === e.id) return !0;return !1;
+}function checkForNaN(e, t, n) {
+  if ("float32" === t) for (var r = 0; r < e.length; r++) if (isNaN(e[r])) throw Error("The result of the '" + n + "' has NaNs.");
+}function flattenNameArrayMap(e, t) {
+  var n = [];if (e instanceof Tensor) n.push(e);else for (var r = e, a = 0; a < t.length; a++) n.push(r[t[a]]);return n;
+}function unflattenToNameArrayMap(e, t) {
+  if (e.length !== t.length) throw new Error("Cannot unflatten Tensor[], keys and arrays are not of same length.");for (var n = {}, r = 0; r < e.length; r++) n[e[r]] = t[r];return n;
+}function hasEncodingLoss(e, t) {
+  return "float32" !== t && ("int32" !== t || "float32" === e) && ("bool" !== t || "bool" !== e);
+}function copyTypedArray(e, t) {
+  if (null == t || "float32" === t) return new Float32Array(e);if ("int32" === t) return new Int32Array(e);if ("bool" === t) {
+    for (var n = new Uint8Array(e.length), r = 0; r < n.length; ++r) 0 !== Math.round(e[r]) && (n[r] = 1);return n;
+  }throw new Error("Unknown data type " + t);
+}function isTypedArray(e) {
+  return e instanceof Float32Array || e instanceof Int32Array || e instanceof Uint8Array;
+}function bytesPerElement(e) {
+  if ("float32" === e || "int32" === e) return 4;if ("bool" === e) return 1;throw new Error("Unknown dtype " + e);
+}function isFunction(e) {
+  return !!(e && e.constructor && e.call && e.apply);
+}function getTensorsInContainer(e) {
+  var t = [];return walkTensorContainer(e, t, new Set()), t;
+}function walkTensorContainer(e, t, n) {
+  if (null != e) if (e instanceof Tensor) t.push(e);else if (isIterable(e)) {
+    var r = e;for (var a in r) {
+      var o = r[a];n.has(o) || (n.add(o), walkTensorContainer(o, t, n));
+    }
+  }
+}function nearestDivisor(e, t) {
+  for (var n = t; n < e; ++n) if (e % n == 0) return n;return e;
+}function isIterable(e) {
+  return Array.isArray(e) || "object" == typeof e;
+}var util = Object.freeze({ assertArgumentsAreTensors: assertArgumentsAreTensors, shuffle: shuffle, clamp: clamp, randUniform: randUniform, distSquared: distSquared, assert: assert, assertShapesMatch: assertShapesMatch, assertTypesMatch: assertTypesMatch, flatten: flatten, inferShape: inferShape, sizeFromShape: sizeFromShape, isScalarShape: isScalarShape, arraysEqual: arraysEqual, isInt: isInt, tanh: tanh, sizeToSquarishShape: sizeToSquarishShape, createShuffledIndices: createShuffledIndices, rightPad: rightPad, repeatedTry: repeatedTry, getQueryParams: getQueryParams, inferFromImplicitShape: inferFromImplicitShape, squeezeShape: squeezeShape, getTypedArrayFromDType: getTypedArrayFromDType, isTensorInList: isTensorInList, checkForNaN: checkForNaN, flattenNameArrayMap: flattenNameArrayMap, unflattenToNameArrayMap: unflattenToNameArrayMap, hasEncodingLoss: hasEncodingLoss, copyTypedArray: copyTypedArray, isTypedArray: isTypedArray, bytesPerElement: bytesPerElement, isFunction: isFunction, getTensorsInContainer: getTensorsInContainer, nearestDivisor: nearestDivisor }),
+    FORMAT_LIMIT_NUM_VALS = 20,
+    FORMAT_NUM_FIRST_LAST_VALS = 3,
+    FORMAT_NUM_SIG_DIGITS = 7;function tensorToString(e, t) {
+  var n = e.dataSync(),
+      r = computeMaxSizePerColumn(e),
+      a = subTensorToString(n, e.shape, e.strides, r),
+      o = ["Tensor"];return t && (o.push("  dtype: " + e.dtype), o.push("  rank: " + e.rank), o.push("  shape: [" + e.shape + "]"), o.push("  values:")), o.push(a.map(function (e) {
+    return "    " + e;
+  }).join("\n")), o.join("\n");
+}function computeMaxSizePerColumn(e) {
+  var t = e.dataSync(),
+      n = e.size,
+      r = e.strides[e.strides.length - 1],
+      a = new Array(r).fill(0);if (e.rank > 1) for (var o = 0; o < n / r; o++) for (var i = o * r, s = 0; s < r; s++) a[s] = Math.max(a[s], valToString(t[i + s], 0).length);return a;
+}function valToString(e, t) {
+  return rightPad(parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(), t);
+}function subTensorToString(e, t, n, r, a) {
+  void 0 === a && (a = !0);var o = t[0],
+      i = t.length;if (0 === i) return [e[0].toString()];if (1 === i) {
+    if (o > FORMAT_LIMIT_NUM_VALS) {
+      var s = Array.from(e.subarray(0, FORMAT_NUM_FIRST_LAST_VALS)),
+          u = Array.from(e.subarray(o - FORMAT_NUM_FIRST_LAST_VALS, o));return ["[" + s.map(function (e, t) {
+        return valToString(e, r[t]);
+      }).join(", ") + ", ..., " + u.map(function (e, t) {
+        return valToString(e, r[o - FORMAT_NUM_FIRST_LAST_VALS + t]);
+      }).join(", ") + "]"];
+    }return ["[" + Array.from(e).map(function (e, t) {
+      return valToString(e, r[t]);
+    }).join(", ") + "]"];
+  }var l = t.slice(1),
+      c = n.slice(1),
+      d = n[0],
+      p = [];if (o > FORMAT_LIMIT_NUM_VALS) {
+    for (var h = 0; h < FORMAT_NUM_FIRST_LAST_VALS; h++) {
+      var f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, !1));
+    }p.push("...");for (h = o - FORMAT_NUM_FIRST_LAST_VALS; h < o; h++) {
+      f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, h === o - 1));
+    }
+  } else for (h = 0; h < o; h++) {
+    var g;f = (g = h * d) + d;p.push.apply(p, subTensorToString(e.subarray(g, f), l, c, r, h === o - 1));
+  }var m = 2 === i ? "," : "";p[0] = "[" + p[0] + m;for (h = 1; h < p.length - 1; h++) p[h] = " " + p[h] + m;var v = ",\n";for (h = 2; h < i; h++) v += "\n";return p[p.length - 1] = " " + p[p.length - 1] + "]" + (a ? "" : v), p;
+}function axesAreInnerMostDims(e, t) {
+  for (var n = 0; n < e.length; ++n) if (e[e.length - n - 1] !== t - 1 - n) return !1;return !0;
+}function combineLocations(e, t, n) {
+  for (var r = e.length + t.length, a = [], o = 0, i = 0, s = 0; s < r; s++) -1 === n.indexOf(s) ? a.push(e[o++]) : a.push(t[i++]);return a;
+}function computeOutAndReduceShapes(e, t) {
+  for (var n = [], r = e.length, a = 0; a < r; a++) -1 === t.indexOf(a) && n.push(e[a]);return [n, t.map(function (t) {
+    return e[t];
+  })];
+}function expandShapeToKeepDim(e, t) {
+  return combineLocations(e, t.map(function (e) {
+    return 1;
+  }), t);
+}function parseAxisParam(e, t) {
+  var n = t.length;return assert((e = null == e ? t.map(function (e, t) {
+    return t;
+  }) : [].concat(e)).every(function (e) {
+    return e >= -n && e < n;
+  }), "All values in axis param must be in range [-" + n + ", " + n + ") but got axis " + e), assert(e.every(function (e) {
+    return isInt(e);
+  }), "All values in axis param must be integers but got axis " + e), e.map(function (e) {
+    return e < 0 ? n + e : e;
+  });
+}function assertAxesAreInnerMostDims(e, t, n) {
+  assert(axesAreInnerMostDims(t, n), e + " supports only inner-most axes for now. Got axes " + t + " and rank-" + n + " input.");
+}function getAxesPermutation(e, t) {
+  if (axesAreInnerMostDims(e, t)) return null;for (var n = [], r = 0; r < t; ++r) -1 === e.indexOf(r) && n.push(r);return e.forEach(function (e) {
+    return n.push(e);
+  }), n;
+}function getUndoAxesPermutation(e) {
+  return e.map(function (e, t) {
+    return [t, e];
+  }).sort(function (e, t) {
+    return e[1] - t[1];
+  }).map(function (e) {
+    return e[0];
+  });
+}function getInnerMostAxes(e, t) {
+  for (var n = [], r = t - e; r < t; ++r) n.push(r);return n;
+}function assertParams(e, t, n) {
+  var r = e.length,
+      a = t.length;assert(e.length === t.length, "Error in concat" + r + "D: rank of x1 (" + r + ") and x2 (" + a + ") must be the same."), assert(n >= 0 && n < r, "Error in concat" + r + "D: axis must be between 0 and " + (r - 1) + ".");for (var o = 0; o < r; o++) assert(o === n || e[o] === t[o], "Error in concat" + r + "D: Shape (" + e + ") does not match (" + t + ") along the non-concatenated axis " + o + ".");
+}function computeOutShape(e, t, n) {
+  assert(e.length === t.length, "x1 and x2 should have the same rank.");var r = e.slice();return r[n] += t[n], r;
+}function computeGradientSliceShapes(e, t) {
+  return { aBegin: [0, 0], aSize: e, bBegin: [0, e[1]], bSize: t };
+}function operation(e, t, n) {
+  var r = n.value;return n.value = function () {
+    for (var e = [], n = 0; n < arguments.length; n++) e[n] = arguments[n];return tidy(t, function () {
+      return r.apply(void 0, e);
+    });
+  }, n;
+}var ConcatOps = function () {
+  function e() {}return e.concat1d = function (t) {
+    return e.concat(t, 0);
+  }, e.concat2d = function (t, n) {
+    return e.concat(t, n);
+  }, e.concat3d = function (t, n) {
+    return e.concat(t, n);
+  }, e.concat4d = function (t, n) {
+    return e.concat(t, n);
+  }, e.concat = function (e, t) {
+    void 0 === t && (t = 0), assert(e.length >= 1, "Pass at least one tensor to concat"), assertArgumentsAreTensors({ tensors: e }, "concat");var n = e[0];if (1 === e.length) return n;for (var r = parseAxisParam(t, n.shape), a = 1; a < e.length; ++a) n = concat2Tensors(n, e[a], r[0]);return n;
+  }, __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "concat", null), e;
+}();function concat2Tensors(e, t, n) {
+  assertParams(e.shape, t.shape, n);var r = computeOutShape(e.shape, t.shape, n),
+      a = e.as2D(-1, sizeFromShape(e.shape.slice(n))),
+      o = t.as2D(-1, sizeFromShape(t.shape.slice(n))),
+      i = computeGradientSliceShapes(a.shape, o.shape),
+      s = i.aBegin,
+      u = i.aSize,
+      l = i.bBegin,
+      c = i.bSize;return ENV.engine.runKernel(function (e) {
+    return e.concat(a, o);
+  }, { a: a, b: o }, function (e) {
+    return { a: function () {
+        return e.slice(s, u);
+      }, b: function () {
+        return e.slice(l, c);
+      } };
+  }).reshape(r);
+}var commonjsGlobal = "undefined" != typeof window ? window : "undefined" != typeof global ? global : "undefined" != typeof self ? self : {};function createCommonjsModule(e, t) {
+  return e(t = { exports: {} }, t.exports), t.exports;
+}var alea = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.c = e.c, t.s0 = e.s0, t.s1 = e.s1, t.s2 = e.s2, t;
+    }function a(e, t) {
+      var n = new function (e) {
+        var t,
+            n = this,
+            r = (t = 4022871197, function (e) {
+          e = e.toString();for (var n = 0; n < e.length; n++) {
+            var r = .02519603282416938 * (t += e.charCodeAt(n));r -= t = r >>> 0, t = (r *= t) >>> 0, t += 4294967296 * (r -= t);
+          }return 2.3283064365386963e-10 * (t >>> 0);
+        });n.next = function () {
+          var e = 2091639 * n.s0 + 2.3283064365386963e-10 * n.c;return n.s0 = n.s1, n.s1 = n.s2, n.s2 = e - (n.c = 0 | e);
+        }, n.c = 1, n.s0 = r(" "), n.s1 = r(" "), n.s2 = r(" "), n.s0 -= r(e), n.s0 < 0 && (n.s0 += 1), n.s1 -= r(e), n.s1 < 0 && (n.s1 += 1), n.s2 -= r(e), n.s2 < 0 && (n.s2 += 1), r = null;
+      }(e),
+          a = t && t.state,
+          o = n.next;return o.int32 = function () {
+        return 4294967296 * n.next() | 0;
+      }, o.double = function () {
+        return o() + 1.1102230246251565e-16 * (2097152 * o() | 0);
+      }, o.quick = o, a && ("object" == typeof a && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.alea = a;
+  }(0, e, !1);
+}),
+    xor128 = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.x = e.x, t.y = e.y, t.z = e.z, t.w = e.w, t;
+    }function a(e, t) {
+      var n = new function (e) {
+        var t = this,
+            n = "";t.x = 0, t.y = 0, t.z = 0, t.w = 0, t.next = function () {
+          var e = t.x ^ t.x << 11;return t.x = t.y, t.y = t.z, t.z = t.w, t.w ^= t.w >>> 19 ^ e ^ e >>> 8;
+        }, e === (0 | e) ? t.x = e : n += e;for (var r = 0; r < n.length + 64; r++) t.x ^= 0 | n.charCodeAt(r), t.next();
+      }(e),
+          a = t && t.state,
+          o = function () {
+        return (n.next() >>> 0) / 4294967296;
+      };return o.double = function () {
+        do {
+          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);
+        } while (0 === e);return e;
+      }, o.int32 = n.next, o.quick = o, a && ("object" == typeof a && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.xor128 = a;
+  }(0, e, !1);
+}),
+    xorwow = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.x = e.x, t.y = e.y, t.z = e.z, t.w = e.w, t.v = e.v, t.d = e.d, t;
+    }function a(e, t) {
+      var n = new function (e) {
+        var t = this,
+            n = "";t.next = function () {
+          var e = t.x ^ t.x >>> 2;return t.x = t.y, t.y = t.z, t.z = t.w, t.w = t.v, (t.d = t.d + 362437 | 0) + (t.v = t.v ^ t.v << 4 ^ e ^ e << 1) | 0;
+        }, t.x = 0, t.y = 0, t.z = 0, t.w = 0, t.v = 0, e === (0 | e) ? t.x = e : n += e;for (var r = 0; r < n.length + 64; r++) t.x ^= 0 | n.charCodeAt(r), r == n.length && (t.d = t.x << 10 ^ t.x >>> 4), t.next();
+      }(e),
+          a = t && t.state,
+          o = function () {
+        return (n.next() >>> 0) / 4294967296;
+      };return o.double = function () {
+        do {
+          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);
+        } while (0 === e);return e;
+      }, o.int32 = n.next, o.quick = o, a && ("object" == typeof a && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.xorwow = a;
+  }(0, e, !1);
+}),
+    xorshift7 = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.x = e.x.slice(), t.i = e.i, t;
+    }function a(e, t) {
+      null == e && (e = +new Date());var n = new function (e) {
+        var t = this;t.next = function () {
+          var e,
+              n,
+              r = t.x,
+              a = t.i;return e = r[a], n = (e ^= e >>> 7) ^ e << 24, n ^= (e = r[a + 1 & 7]) ^ e >>> 10, n ^= (e = r[a + 3 & 7]) ^ e >>> 3, n ^= (e = r[a + 4 & 7]) ^ e << 7, e = r[a + 7 & 7], n ^= (e ^= e << 13) ^ e << 9, r[a] = n, t.i = a + 1 & 7, n;
+        }, function (e, t) {
+          var n,
+              r = [];if (t === (0 | t)) r[0] = t;else for (t = "" + t, n = 0; n < t.length; ++n) r[7 & n] = r[7 & n] << 15 ^ t.charCodeAt(n) + r[n + 1 & 7] << 13;for (; r.length < 8;) r.push(0);for (n = 0; n < 8 && 0 === r[n]; ++n);for (8 == n ? r[7] = -1 : r[n], e.x = r, e.i = 0, n = 256; n > 0; --n) e.next();
+        }(t, e);
+      }(e),
+          a = t && t.state,
+          o = function () {
+        return (n.next() >>> 0) / 4294967296;
+      };return o.double = function () {
+        do {
+          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);
+        } while (0 === e);return e;
+      }, o.int32 = n.next, o.quick = o, a && (a.x && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.xorshift7 = a;
+  }(0, e, !1);
+}),
+    xor4096 = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.i = e.i, t.w = e.w, t.X = e.X.slice(), t;
+    }function a(e, t) {
+      null == e && (e = +new Date());var n = new function (e) {
+        var t = this;t.next = function () {
+          var e,
+              n,
+              r = t.w,
+              a = t.X,
+              o = t.i;return t.w = r = r + 1640531527 | 0, n = a[o + 34 & 127], e = a[o = o + 1 & 127], n ^= n << 13, e ^= e << 17, n ^= n >>> 15, e ^= e >>> 12, n = a[o] = n ^ e, t.i = o, n + (r ^ r >>> 16) | 0;
+        }, function (e, t) {
+          var n,
+              r,
+              a,
+              o,
+              i,
+              s = [],
+              u = 128;for (t === (0 | t) ? (r = t, t = null) : (t += "\0", r = 0, u = Math.max(u, t.length)), a = 0, o = -32; o < u; ++o) t && (r ^= t.charCodeAt((o + 32) % t.length)), 0 === o && (i = r), r ^= r << 10, r ^= r >>> 15, r ^= r << 4, r ^= r >>> 13, o >= 0 && (i = i + 1640531527 | 0, a = 0 == (n = s[127 & o] ^= r + i) ? a + 1 : 0);for (a >= 128 && (s[127 & (t && t.length || 0)] = -1), a = 127, o = 512; o > 0; --o) r = s[a + 34 & 127], n = s[a = a + 1 & 127], r ^= r << 13, n ^= n << 17, r ^= r >>> 15, n ^= n >>> 12, s[a] = r ^ n;e.w = i, e.X = s, e.i = a;
+        }(t, e);
+      }(e),
+          a = t && t.state,
+          o = function () {
+        return (n.next() >>> 0) / 4294967296;
+      };return o.double = function () {
+        do {
+          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);
+        } while (0 === e);return e;
+      }, o.int32 = n.next, o.quick = o, a && (a.X && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.xor4096 = a;
+  }(0, e, !1);
+}),
+    tychei = createCommonjsModule(function (e) {
+  !function (e, t, n) {
+    function r(e, t) {
+      return t.a = e.a, t.b = e.b, t.c = e.c, t.d = e.d, t;
+    }function a(e, t) {
+      var n = new function (e) {
+        var t = this,
+            n = "";t.next = function () {
+          var e = t.b,
+              n = t.c,
+              r = t.d,
+              a = t.a;return e = e << 25 ^ e >>> 7 ^ n, n = n - r | 0, r = r << 24 ^ r >>> 8 ^ a, a = a - e | 0, t.b = e = e << 20 ^ e >>> 12 ^ n, t.c = n = n - r | 0, t.d = r << 16 ^ n >>> 16 ^ a, t.a = a - e | 0;
+        }, t.a = 0, t.b = 0, t.c = -1640531527, t.d = 1367130551, e === Math.floor(e) ? (t.a = e / 4294967296 | 0, t.b = 0 | e) : n += e;for (var r = 0; r < n.length + 20; r++) t.b ^= 0 | n.charCodeAt(r), t.next();
+      }(e),
+          a = t && t.state,
+          o = function () {
+        return (n.next() >>> 0) / 4294967296;
+      };return o.double = function () {
+        do {
+          var e = ((n.next() >>> 11) + (n.next() >>> 0) / 4294967296) / (1 << 21);
+        } while (0 === e);return e;
+      }, o.int32 = n.next, o.quick = o, a && ("object" == typeof a && r(a, n), o.state = function () {
+        return r(n, {});
+      }), o;
+    }t && t.exports ? t.exports = a : n && n.amd ? n(function () {
+      return a;
+    }) : this.tychei = a;
+  }(0, e, !1);
+}),
+    seedrandom = createCommonjsModule(function (e) {
+  !function (t, n) {
+    var r,
+        a = this,
+        o = 256,
+        i = 6,
+        s = "random",
+        u = n.pow(o, i),
+        l = n.pow(2, 52),
+        c = 2 * l,
+        d = o - 1;function p(e, p, m) {
+      var v = [],
+          y = f(function e(t, n) {
+        var r,
+            a = [],
+            o = typeof t;if (n && "object" == o) for (r in t) try {
+          a.push(e(t[r], n - 1));
+        } catch (e) {}return a.length ? a : "string" == o ? t : t + "\0";
+      }((p = 1 == p ? { entropy: !0 } : p || {}).entropy ? [e, g(t)] : null == e ? function () {
+        try {
+          var e;return r && (e = r.randomBytes) ? e = e(o) : (e = new Uint8Array(o), (a.crypto || a.msCrypto).getRandomValues(e)), g(e);
+        } catch (e) {
+          var n = a.navigator,
+              i = n && n.plugins;return [+new Date(), a, i, a.screen, g(t)];
+        }
+      }() : e, 3), v),
+          x = new function (e) {
+        var t,
+            n = e.length,
+            r = this,
+            a = 0,
+            i = r.i = r.j = 0,
+            s = r.S = [];n || (e = [n++]);for (; a < o;) s[a] = a++;for (a = 0; a < o; a++) s[a] = s[i = d & i + e[a % n] + (t = s[a])], s[i] = t;(r.g = function (e) {
+          for (var t, n = 0, a = r.i, i = r.j, s = r.S; e--;) t = s[a = d & a + 1], n = n * o + s[d & (s[a] = s[i = d & i + t]) + (s[i] = t)];return r.i = a, r.j = i, n;
+        })(o);
+      }(v),
+          b = function () {
+        for (var e = x.g(i), t = u, n = 0; e < l;) e = (e + n) * o, t *= o, n = x.g(1);for (; e >= c;) e /= 2, t /= 2, n >>>= 1;return (e + n) / t;
+      };return b.int32 = function () {
+        return 0 | x.g(4);
+      }, b.quick = function () {
+        return x.g(4) / 4294967296;
+      }, b.double = b, f(g(x.S), t), (p.pass || m || function (e, t, r, a) {
+        return a && (a.S && h(a, x), e.state = function () {
+          return h(x, {});
+        }), r ? (n[s] = e, t) : e;
+      })(b, y, "global" in p ? p.global : this == n, p.state);
+    }function h(e, t) {
+      return t.i = e.i, t.j = e.j, t.S = e.S.slice(), t;
+    }function f(e, t) {
+      for (var n, r = e + "", a = 0; a < r.length;) t[d & a] = d & (n ^= 19 * t[d & a]) + r.charCodeAt(a++);return g(t);
+    }function g(e) {
+      return String.fromCharCode.apply(0, e);
+    }if (n["seed" + s] = p, f(n.random(), t), e.exports) {
+      e.exports = p;try {
+        r = require("crypto");
+      } catch (e) {}
+    } else 0;
+  }([], Math);
+});seedrandom.alea = alea, seedrandom.xor128 = xor128, seedrandom.xorwow = xorwow, seedrandom.xorshift7 = xorshift7, seedrandom.xor4096 = xor4096, seedrandom.tychei = tychei;var DType,
+    Rank,
+    UpcastInt32AndMap,
+    UpcastBoolAndMap,
+    UpcastFloat32AndMap,
+    seedrandom$1 = seedrandom,
+    seedrandom_1 = seedrandom$1.alea,
+    MPRandGauss = function () {
+  function e(e, t, n, r, a) {
+    this.mean = e, this.stdDev = t, this.dtype = n, this.nextVal = NaN, this.truncated = r, this.truncated && (this.upper = this.mean + 2 * this.stdDev, this.lower = this.mean - 2 * this.stdDev);var o = a || Math.random();this.random = seedrandom_1(o.toString());
+  }return e.prototype.nextValue = function () {
+    if (!isNaN(this.nextVal)) {
+      var e = this.nextVal;return this.nextVal = NaN, e;
+    }for (var t, n, r = !1; !r;) {
+      var a = void 0,
+          o = void 0,
+          i = void 0;do {
+        i = (a = 2 * this.random() - 1) * a + (o = 2 * this.random() - 1) * o;
+      } while (i >= 1 || 0 === i);var s = Math.sqrt(-2 * Math.log(i) / i);t = this.mean + this.stdDev * a * s, n = this.mean + this.stdDev * o * s, this.truncated && !this.isValidTruncated(t) || (r = !0);
+    }return this.truncated && !this.isValidTruncated(n) || (this.nextVal = this.convertValue(n)), this.convertValue(t);
+  }, e.prototype.convertValue = function (e) {
+    return null == this.dtype || "float32" === this.dtype ? e : Math.round(e);
+  }, e.prototype.isValidTruncated = function (e) {
+    return e <= this.upper && e >= this.lower;
+  }, e;
+}();!function (e) {
+  e.float32 = "float32", e.int32 = "int32", e.bool = "bool";
+}(DType || (DType = {})), function (e) {
+  e.R0 = "R0", e.R1 = "R1", e.R2 = "R2", e.R3 = "R3", e.R4 = "R4", e.R5 = "R5", e.R6 = "R6";
+}(Rank || (exports.Rank = Rank = {})), function (e) {
+  e.float32 = "float32", e.int32 = "int32", e.bool = "int32";
+}(UpcastInt32AndMap || (UpcastInt32AndMap = {})), function (e) {
+  e.float32 = "float32", e.int32 = "int32", e.bool = "bool";
+}(UpcastBoolAndMap || (UpcastBoolAndMap = {})), function (e) {
+  e.float32 = "float32", e.int32 = "float32", e.bool = "float32";
+}(UpcastFloat32AndMap || (UpcastFloat32AndMap = {}));var upcastTypeMap = { float32: UpcastFloat32AndMap, int32: UpcastInt32AndMap, bool: UpcastBoolAndMap };function upcastType(e, t) {
+  return upcastTypeMap[e][t];
+}function sumOutType(e) {
+  return upcastType(e, "int32");
+}function getBroadcastDims(e, t) {
+  for (var n = e.length, r = [], a = 0; a < n; a++) {
+    var o = n - 1 - a,
+        i = e[o] || 1;(t[t.length - 1 - a] || 1) > 1 && 1 === i && r.unshift(o);
+  }return r;
+}function getReductionAxes(e, t) {
+  for (var n = [], r = 0; r < t.length; r++) {
+    var a = e[e.length - r - 1],
+        o = t.length - r - 1,
+        i = t[o];(null == a || 1 === a && i > 1) && n.unshift(o);
+  }return n;
+}function broadcastDimsAreOuter(e) {
+  for (var t = 0; t < e.length; t++) if (e[t] !== t) return !1;return !0;
+}function assertAndGetBroadcastShape(e, t) {
+  for (var n = [], r = "Operands could not be broadcast together with shapes " + e + " and " + t + ".", a = Math.max(e.length, t.length), o = 0; o < a; o++) {
+    var i = e[e.length - o - 1] || 1,
+        s = t[t.length - o - 1] || 1;if (i > 1 && s > 1 && i !== s) throw Error(r);n.unshift(Math.max(i, s));
+  }return n;
+}var BinaryOps = function () {
+  function e() {}return e.add = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "add"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.add(e, t);
+    }, { a: e, b: t }, function (r) {
+      return { a: function () {
+          var t = r,
+              a = getReductionAxes(e.shape, n);return a.length > 0 && (t = t.sum(a)), t.reshape(e.shape);
+        }, b: function () {
+          var e = r,
+              a = getReductionAxes(t.shape, n);return a.length > 0 && (e = e.sum(a)), e.reshape(t.shape);
+        } };
+    });
+  }, e.addStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in addStrict: "), e.add(t);
+  }, e.sub = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "sub"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.subtract(e, t);
+    }, { a: e, b: t }, function (r) {
+      return { a: function () {
+          var t = r,
+              a = getReductionAxes(e.shape, n);return a.length > 0 && (t = t.sum(a)), t.reshape(e.shape);
+        }, b: function () {
+          var e = r,
+              a = getReductionAxes(t.shape, n);return a.length > 0 && (e = e.sum(a)), e.neg().reshape(t.shape);
+        } };
+    });
+  }, e.subStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in subStrict: "), e.sub(t);
+  }, e.pow = function (e, t) {
+    assertArgumentsAreTensors({ base: e, exp: t }, "pow");var n = assertAndGetBroadcastShape(e.shape, t.shape);e = e.cast(upcastType(e.dtype, t.dtype)), t = t.cast(upcastType(e.dtype, t.dtype));return ENV.engine.runKernel(function (n, r) {
+      return r(n.pow(e, t));
+    }, { base: e, exp: t }, function (r, a) {
+      var o = a[0];return { base: function () {
+          var a = r.mul(t.toFloat().mul(o.div(e))),
+              i = getReductionAxes(e.shape, n);return i.length > 0 && (a = a.sum(i)), a.reshape(e.shape);
+        }, exp: function () {
+          var a = r.mul(o.mul(e.log()).toFloat()),
+              i = getReductionAxes(t.shape, n);return i.length > 0 && (a = a.sum(i)), a.reshape(t.shape);
+        } };
+    });
+  }, e.powStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in powStrict: "), e.pow(t);
+  }, e.mul = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "mul"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.multiply(e, t);
+    }, { a: e, b: t }, function (r) {
+      return { a: function () {
+          var a = r.mul(t.toFloat()),
+              o = getReductionAxes(e.shape, n);return o.length > 0 ? a.sum(o).reshape(e.shape) : a;
+        }, b: function () {
+          var a = r.mul(e.toFloat()),
+              o = getReductionAxes(t.shape, n);return o.length > 0 ? a.sum(o).reshape(t.shape) : a;
+        } };
+    });
+  }, e.mulStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in multiplyStrict: "), e.mul(t);
+  }, e.div = function (t, n) {
+    var r;if (assertArgumentsAreTensors({ a: t, b: n }, "div"), assertTypesMatch(t, n), "int32" === t.dtype && "int32" === n.dtype) return e.floorDiv(t, n);r = function (e) {
+      return e.realDivide(t, n);
+    };var a = assertAndGetBroadcastShape(t.shape, n.shape);return ENV.engine.runKernel(r, { a: t, b: n }, function (e) {
+      return { a: function () {
+          var r = e.div(n.toFloat()),
+              o = getReductionAxes(t.shape, a);return o.length > 0 ? r.sum(o).reshape(t.shape) : r;
+        }, b: function () {
+          var r = e.mul(t.toFloat()),
+              o = getReductionAxes(n.shape, a);o.length > 0 && (r = r.sum(o).reshape(n.shape));var i = n.square();return r.div(i.toFloat()).neg();
+        } };
+    });
+  }, e.floorDiv = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "floorDiv"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.floorDiv(e, t);
+    }, { a: e, b: t }, function (r) {
+      return { a: function () {
+          var a = r.div(t.toFloat()),
+              o = getReductionAxes(e.shape, n);return o.length > 0 ? a.sum(o).reshape(e.shape) : a;
+        }, b: function () {
+          var a = r.mul(e.toFloat()),
+              o = getReductionAxes(t.shape, n);o.length > 0 && (a = a.sum(o).reshape(t.shape));var i = t.square();return a.div(i.toFloat()).neg();
+        } };
+    });
+  }, e.divStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in divideStrict: "), e.div(t);
+  }, e.mod = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "mod"), assertTypesMatch(e, t);var n = assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.mod(e, t);
+    }, { a: e, b: t }, function (r) {
+      return { a: function () {
+          var t = getReductionAxes(e.shape, n);return t.length > 0 ? r.sum(t).reshape(e.shape) : r;
+        }, b: function () {
+          var a = r.mul(e.div(t).floor().neg()),
+              o = getReductionAxes(t.shape, n);return o.length > 0 ? a.sum(o).reshape(t.shape) : a;
+        } };
+    });
+  }, e.modStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in modStrict: "), e.mod(t);
+  }, e.minimum = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "minimum"), assertTypesMatch(e, t), "bool" === e.dtype && (e = e.toInt()), "bool" === t.dtype && (t = t.toInt()), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.minimum(e, t);
+    }, { a: e, b: t }, function (n) {
+      return { a: function () {
+          return n.mul(e.lessEqual(t).toFloat());
+        }, b: function () {
+          return n.mul(e.greater(t).toFloat());
+        } };
+    });
+  }, e.minimumStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in minimumStrict: "), e.minimum(t);
+  }, e.maximum = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "maximum"), assertTypesMatch(e, t), "bool" === e.dtype && (e = e.toInt()), "bool" === t.dtype && (t = t.toInt()), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.maximum(e, t);
+    }, { a: e, b: t }, function (n) {
+      return { a: function () {
+          return n.mul(e.greaterEqual(t).toFloat());
+        }, b: function () {
+          return n.mul(e.less(t).toFloat());
+        } };
+    });
+  }, e.maximumStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in minimumStrict: "), e.maximum(t);
+  }, e.squaredDifference = function (e, t) {
+    assertArgumentsAreTensors({ a: e, b: t }, "squaredDifference"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape);return ENV.engine.runKernel(function (n) {
+      return n.squaredDifference(e, t);
+    }, { a: e, b: t }, function (n) {
+      var r = scalar(2);return { a: function () {
+          return n.mul(e.sub(t).mul(r));
+        }, b: function () {
+          return n.mul(t.sub(e).mul(r));
+        } };
+    });
+  }, e.squaredDifferenceStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in squaredDifferenceStrict: "), e.squaredDifference(t);
+  }, e.atan2 = function (t, n) {
+    assertArgumentsAreTensors({ a: t, b: n }, "atan2"), assertTypesMatch(t, n);var r = assertAndGetBroadcastShape(t.shape, n.shape);return ENV.engine.runKernel(function (e) {
+      return e.atan2(t, n);
+    }, { a: t, b: n }, function (a) {
+      return { a: function () {
+          var o = e.add(square(t), square(n)),
+              i = a.mul(n.div(o)),
+              s = getReductionAxes(t.shape, r);return s.length > 0 && (i = i.sum(s)), i.reshape(t.shape);
+        }, b: function () {
+          var o = e.add(square(t), square(n)),
+              i = neg(a.mul(t.div(o))),
+              s = getReductionAxes(n.shape, r);return s.length > 0 && (i = i.sum(s)), i.reshape(n.shape);
+        } };
+    });
+  }, __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "add", null), __decorate([operation], e, "addStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "sub", null), __decorate([operation], e, "subStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "pow", null), __decorate([operation], e, "powStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "mul", null), __decorate([operation], e, "mulStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "div", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "floorDiv", null), __decorate([operation], e, "divStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "mod", null), __decorate([operation], e, "modStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "minimum", null), __decorate([operation], e, "minimumStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "maximum", null), __decorate([operation], e, "maximumStrict", null), __decorate([doc({ heading: "Operations", subheading: "Arithmetic" }), operation], e, "squaredDifference", null), __decorate([operation], e, "squaredDifferenceStrict", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "atan2", null), e;
+}(),
+    CompareOps = function () {
+  function e() {}return e.notEqual = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "notEqual"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.notEqual(e, t);
+    }, { a: e, b: t });
+  }, e.notEqualStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in notEqualStrict: "), e.notEqual(t);
+  }, e.less = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "less"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.less(e, t);
+    }, { a: e, b: t });
+  }, e.lessStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in lessStrict: "), e.less(t);
+  }, e.equal = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "equal"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.equal(e, t);
+    }, { a: e, b: t });
+  }, e.equalStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in equalStrict: "), e.equal(t);
+  }, e.lessEqual = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "lessEqual"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.lessEqual(e, t);
+    }, { a: e, b: t });
+  }, e.lessEqualStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in lessEqualStrict: "), e.lessEqual(t);
+  }, e.greater = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "greater"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.greater(e, t);
+    }, { a: e, b: t });
+  }, e.greaterStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in greaterStrict: "), e.greater(t);
+  }, e.greaterEqual = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "greaterEqual"), assertTypesMatch(e, t), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.greaterEqual(e, t);
+    }, { a: e, b: t });
+  }, e.greaterEqualStrict = function (e, t) {
+    return assertShapesMatch(e.shape, t.shape, "Error in greaterEqualStrict: "), e.greaterEqual(t);
+  }, __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "notEqual", null), __decorate([operation], e, "notEqualStrict", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "less", null), __decorate([operation], e, "lessStrict", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "equal", null), __decorate([operation], e, "equalStrict", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "lessEqual", null), __decorate([operation], e, "lessEqualStrict", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "greater", null), __decorate([operation], e, "greaterStrict", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "greaterEqual", null), __decorate([operation], e, "greaterEqualStrict", null), e;
+}(),
+    LogicalOps = function () {
+  function e() {}return e.logicalNot = function (e) {
+    return assertArgumentsAreTensors({ x: e }, "logicalNot"), assert("bool" === e.dtype, "Error Array must be of type bool."), ENV.engine.runKernel(function (t) {
+      return t.logicalNot(e);
+    }, { x: e });
+  }, e.logicalAnd = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "logicalAnd"), assert("bool" === e.dtype && "bool" === t.dtype, "Error Array must be of type bool."), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.logicalAnd(e, t);
+    }, { a: e, b: t });
+  }, e.logicalOr = function (e, t) {
+    return assertArgumentsAreTensors({ a: e, b: t }, "logicalOr"), assert("bool" === e.dtype && "bool" === t.dtype, "Error Array must be of type bool."), assertAndGetBroadcastShape(e.shape, t.shape), ENV.engine.runKernel(function (n) {
+      return n.logicalOr(e, t);
+    }, { a: e, b: t });
+  }, e.logicalXor = function (t, n) {
+    return assertArgumentsAreTensors({ a: t, b: n }, "logicalXor"), assert("bool" === t.dtype && "bool" === n.dtype, "Error Array must be of type bool."), assertAndGetBroadcastShape(t.shape, n.shape), e.logicalOr(t, n).logicalAnd(e.logicalAnd(t, n).logicalNot());
+  }, e.where = function (e, t, n) {
+    assertArgumentsAreTensors({ condition: e, a: t, b: n }, "where"), assert("bool" === e.dtype, "Error Condition must be of type bool."), assertShapesMatch(t.shape, n.shape, "Error in where: "), 1 === e.rank ? assert(e.shape[0] === t.shape[0], "The first dimension of `a` must match the size of `condition`.") : assertShapesMatch(e.shape, n.shape, "Error in where: ");var r = upcastType(t.dtype, n.dtype);return ENV.engine.runKernel(function (a) {
+      return a.where(e, t, n, r);
+    }, { condition: e, a: t, b: n }, function (r) {
+      return { condition: function () {
+          return zerosLike(e);
+        }, a: function () {
+          return r.mul(e.cast(t.dtype));
+        }, b: function () {
+          return r.mul(e.logicalNot().cast(n.dtype));
+        } };
+    });
+  }, __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "logicalNot", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "logicalAnd", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "logicalOr", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "logicalXor", null), __decorate([doc({ heading: "Operations", subheading: "Logical" }), operation], e, "where", null), e;
+}(),
+    SegmentOps = function () {
+  function e() {}return e.unsortedSegmentSum = function (e, t, n) {
+    assertArgumentsAreTensors({ x: e, segmentIds: t }, "unsortedSegmentSum"), assert("int32" === t.dtype, "segmentIds must be of dtype `int32`"), assert(isInt(n), "numSegments must be of dtype int");return ENV.engine.runKernel(function (r) {
+      return r.unsortedSegmentSum(e, t, n);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return gatherDropNegatives(e, t);
+        } };
+    });
+  }, __decorate([doc({ heading: "Operations", subheading: "Segment" }), operation], e, "unsortedSegmentSum", null), e;
+}();function gatherDropNegatives(e, t) {
+  for (var n = BinaryOps.maximum(t, ArrayOps.zerosLike(t)), r = ArrayOps.gather(e, n), a = CompareOps.greaterEqual(t, ArrayOps.scalar(0, "int32")), o = r.rank - a.rank, i = 0; i < o; ++i) a = ArrayOps.expandDims(a, i + 1);a = LogicalOps.logicalAnd(a, ArrayOps.ones(r.shape, "bool"));var s = ArrayOps.zerosLike(r);return LogicalOps.where(a, r, s);
+}var ArrayOps = function () {
+  function e() {}return e.tensor = function (e, t, n) {
+    void 0 === n && (n = "float32");var r = inferShape(e);return null != t && 1 !== r.length && assertShapesMatch(t, r, "Error creating a new Tensor. Inferred shape (" + r + ") does not match the provided shape (" + t + "). "), isTypedArray(e) || Array.isArray(e) || (e = [e]), t = t || r, Tensor.make(t, { values: toTypedArray(e, n) }, n);
+  }, e.scalar = function (t, n) {
+    if (void 0 === n && (n = "float32"), isTypedArray(t) || Array.isArray(t)) throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean)");return e.tensor(t, [], n);
+  }, e.tensor1d = function (t, n) {
+    void 0 === n && (n = "float32");var r = inferShape(t);if (1 !== r.length) throw new Error("tensor1d() requires values to be a flat/TypedArray");return e.tensor(t, r, n);
+  }, e.tensor2d = function (t, n, r) {
+    if (void 0 === r && (r = "float32"), null != n && 2 !== n.length) throw new Error("tensor2d() requires shape to have two numbers");var a = inferShape(t);if (2 !== a.length && 1 !== a.length) throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if (1 === a.length && null == n) throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return n = n || a, e.tensor(t, n, r);
+  }, e.tensor3d = function (t, n, r) {
+    if (void 0 === r && (r = "float32"), null != n && 3 !== n.length) throw new Error("tensor3d() requires shape to have three numbers");var a = inferShape(t);if (3 !== a.length && 1 !== a.length) throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if (1 === a.length && null == n) throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return n = n || a, e.tensor(t, n, r);
+  }, e.tensor4d = function (t, n, r) {
+    if (void 0 === r && (r = "float32"), null != n && 4 !== n.length) throw new Error("tensor4d() requires shape to have four numbers");var a = inferShape(t);if (4 !== a.length && 1 !== a.length) throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if (1 === a.length && null == n) throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return n = n || a, e.tensor(t, n, r);
+  }, e.tensor5d = function (t, n, r) {
+    if (void 0 === r && (r = "float32"), null != n && 5 !== n.length) throw new Error("tensor5d() requires shape to have five numbers");var a = inferShape(t);if (5 !== a.length && 1 !== a.length) throw new Error("tensor5d() requires values to be            number[][][][][] or flat/TypedArray");if (1 === a.length && null == n) throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return n = n || a, e.tensor(t, n, r);
+  }, e.tensor6d = function (t, n, r) {
+    if (void 0 === r && (r = "float32"), null != n && 6 !== n.length) throw new Error("tensor6d() requires shape to have six numbers");var a = inferShape(t);if (6 !== a.length && 1 !== a.length) throw new Error("tensor6d() requires values to be number[][][][] or flat/TypedArray");if (1 === a.length && null == n) throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return n = n || a, e.tensor(t, n, r);
+  }, e.ones = function (e, t) {
+    void 0 === t && (t = "float32");var n = makeOnesTypedArray(sizeFromShape(e), t);return Tensor.make(e, { values: n }, t);
+  }, e.zeros = function (e, t) {
+    void 0 === t && (t = "float32");var n = makeZerosTypedArray(sizeFromShape(e), t);return Tensor.make(e, { values: n }, t);
+  }, e.fill = function (e, t, n) {
+    void 0 === n && (n = "float32");var r = getTypedArrayFromDType(n, sizeFromShape(e));return r.fill(t), Tensor.make(e, { values: r }, n);
+  }, e.onesLike = function (t) {
+    return assertArgumentsAreTensors({ x: t }, "onesLike"), e.ones(t.shape, t.dtype);
+  }, e.zerosLike = function (t) {
+    return assertArgumentsAreTensors({ x: t }, "zerosLike"), e.zeros(t.shape, t.dtype);
+  }, e.clone = function (e) {
+    assertArgumentsAreTensors({ x: e }, "clone");return ENV.engine.runKernel(function (t) {
+      return Tensor.make(e.shape, { dataId: e.dataId }, e.dtype);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return e.toFloat();
+        } };
+    });
+  }, e.eye = function (t, n, r, a) {
+    void 0 === a && (a = "float32"), null == n && (n = t);for (var o = e.buffer([t, n], a), i = t <= n ? t : n, s = 0; s < i; ++s) o.set(1, s, s);var u = o.toTensor().as2D(t, n);if (null == r) return u;if (1 === r.length) return e.tile(e.expandDims(u, 0), [r[0], 1, 1]);if (2 === r.length) return e.tile(e.expandDims(e.expandDims(u, 0), 0), [r[0], r[1], 1, 1]);throw new Error("eye() currently supports only 1D and 2D batchShapes, but received " + r.length + "D.");
+  }, e.randomNormal = function (t, n, r, a, o) {
+    if (void 0 === n && (n = 0), void 0 === r && (r = 1), null != a && "bool" === a) throw new Error("Unsupported data type " + a);for (var i = new MPRandGauss(n, r, a, !1, o), s = e.buffer(t, a), u = 0; u < s.values.length; u++) s.values[u] = i.nextValue();return s.toTensor();
+  }, e.truncatedNormal = function (t, n, r, a, o) {
+    if (void 0 === n && (n = 0), void 0 === r && (r = 1), null != a && "bool" === a) throw new Error("Unsupported data type " + a);for (var i = new MPRandGauss(n, r, a, !0, o), s = e.buffer(t, a), u = 0; u < s.values.length; u++) s.values[u] = i.nextValue();return s.toTensor();
+  }, e.randomUniform = function (t, n, r, a) {
+    void 0 === n && (n = 0), void 0 === r && (r = 1), void 0 === a && (a = "float32");for (var o = e.buffer(t, a), i = 0; i < o.values.length; i++) o.values[i] = randUniform(n, r);return o.toTensor();
+  }, e.rand = function (e, t, n) {
+    var r = sizeFromShape(e),
+        a = null;if (null == n || "float32" === n) a = new Float32Array(r);else if ("int32" === n) a = new Int32Array(r);else {
+      if ("bool" !== n) throw new Error("Unknown data type " + n);a = new Uint8Array(r);
+    }for (var o = 0; o < r; o++) a[o] = t();return Tensor.make(e, { values: a }, n);
+  }, e.multinomial = function (e, t, n, r) {
+    void 0 === r && (r = !1), assertArgumentsAreTensors({ logits: e }, "multinomial");var a = e.size,
+        o = e.rank;if (a < 2) throw new Error("Error in multinomial: you need at least 2 outcomes, but got " + a + ".");if (o > 2) throw new Error("Rank of probabilities must be 1 or 2, but is " + o);n = n || Math.random();var i = 1 === o ? e.as2D(1, -1) : e,
+        s = ENV.engine.runKernel(function (e) {
+      return e.multinomial(i, r, t, n);
+    }, { logits2D: i });return 1 === o ? s.as1D() : s;
+  }, e.oneHot = function (e, t, n, r) {
+    if (void 0 === n && (n = 1), void 0 === r && (r = 0), assert("int32" === e.dtype, "Indices must be of dtype `int32`"), t < 2) throw new Error("Error in oneHot: depth must be >=2, but it is " + t);return ENV.engine.runKernel(function (a) {
+      return a.oneHot(e, t, n, r);
+    }, { indices: e });
+  }, e.fromPixels = function (e, t) {
+    if (void 0 === t && (t = 3), t > 4) throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");return ENV.engine.fromPixels(e, t);
+  }, e.toPixels = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r, a, o, i, s, u, l, c, d, p, h, f, g, m, v, y, x, b;return __generator(this, function (E) {
+        switch (E.label) {case 0:
+            if (assertArgumentsAreTensors({ img: e }, "toPixels"), 2 !== e.rank && 3 !== e.rank) throw new Error("toPixels only supports rank 2 or 3 tensors, got rank " + e.rank + ".");if (n = e.shape.slice(0, 2), r = n[0], a = n[1], (o = 2 === e.rank ? 1 : e.shape[2]) > 4 || 2 === o) throw new Error("toPixels only supports depth of size 1, 3 or 4 but got " + o);return i = e.min(), s = e.max(), [4, i.data()];case 1:
+            return u = E.sent()[0], [4, s.data()];case 2:
+            if (l = E.sent()[0], i.dispose(), s.dispose(), "float32" === e.dtype) {
+              if (u < 0 || l > 1) throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but got range [" + u + " - " + l + "].");
+            } else {
+              if ("int32" !== e.dtype) throw new Error("Unsupported type for toPixels: " + e.dtype + ". Please use float32 or int32 tensors.");if (u < 0 || l > 255) throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range [" + u + " - " + l + "].");
+            }return [4, e.data()];case 3:
+            for (c = E.sent(), d = "float32" === e.dtype ? 255 : 1, p = new Uint8ClampedArray(a * r * 4), h = 0; h < r * a; ++h) f = void 0, g = void 0, m = void 0, v = void 0, 1 === o ? (f = c[h] * d, g = c[h] * d, m = c[h] * d, v = 255) : 3 === o ? (f = c[3 * h] * d, g = c[3 * h + 1] * d, m = c[3 * h + 2] * d, v = 255) : 4 === o && (f = c[4 * h] * d, g = c[4 * h + 1] * d, m = c[4 * h + 2] * d, v = c[4 * h + 3] * d), p[(y = 4 * h) + 0] = Math.round(f), p[y + 1] = Math.round(g), p[y + 2] = Math.round(m), p[y + 3] = Math.round(v);return null != t && (t.width = a, t.height = r, x = t.getContext("2d"), b = new ImageData(p, a, r), x.putImageData(b, 0, 0)), [2, p];}
+      });
+    });
+  }, e.reshape = function (e, t) {
+    assertArgumentsAreTensors({ x: e }, "reshape"), t = inferFromImplicitShape(t, e.size), assert(e.size === sizeFromShape(t), "new shape and old shape must have the same number of elements.");return ENV.engine.runKernel(function (n) {
+      return n.reshape(e, t);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.reshape(e.shape);
+        } };
+    });
+  }, e.squeeze = function (t, n) {
+    return assertArgumentsAreTensors({ x: t }, "squeeze"), e.reshape(t, squeezeShape(t.shape, n).newShape);
+  }, e.cast = function (e, t) {
+    assertArgumentsAreTensors({ x: e }, "cast");return ENV.engine.runKernel(function (n) {
+      return n.cast(e, t);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return e.clone();
+        } };
+    });
+  }, e.tile = function (t, n) {
+    assertArgumentsAreTensors({ x: t }, "tile"), assert(t.rank === n.length, "Error in transpose: rank of input " + t.rank + " must match length of reps " + n + ".");return ENV.engine.runKernel(function (e) {
+      return e.tile(t, n);
+    }, { x: t }, function (r) {
+      return { x: function () {
+          var a = e.zerosLike(t);if (1 === t.rank) for (var o = 0; o < n[0]; ++o) a = a.add(r.slice([o * t.shape[0]], [t.shape[0]]));else if (2 === t.rank) for (o = 0; o < n[0]; ++o) for (var i = 0; i < n[1]; ++i) a = a.add(r.slice([o * t.shape[0], i * t.shape[1]], [t.shape[0], t.shape[1]]));else if (3 === t.rank) for (o = 0; o < n[0]; ++o) for (i = 0; i < n[1]; ++i) for (var s = 0; s < n[2]; ++s) a = a.add(r.slice([o * t.shape[0], i * t.shape[1], s * t.shape[2]], [t.shape[0], t.shape[1], t.shape[2]]));else {
+            if (4 !== t.rank) throw new Error("Gradient for tile operation is not implemented for rank-" + t.rank + " tensors yet.");for (o = 0; o < n[0]; ++o) for (i = 0; i < n[1]; ++i) for (s = 0; s < n[2]; ++s) for (var u = 0; u < n[3]; ++u) a = a.add(r.slice([o * t.shape[0], i * t.shape[1], s * t.shape[2], u * t.shape[3]], [t.shape[0], t.shape[1], t.shape[2], t.shape[3]]));
+          }return a;
+        } };
+    });
+  }, e.gather = function (e, t, n) {
+    void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e, indices: t }, "gather"), assert("int32" === t.dtype, "Indices must be of dtype `int32`"), n = parseAxisParam(n, e.shape)[0];return ENV.engine.runKernel(function (r) {
+      return r.gather(e, t, n);
+    }, { x: e }, function (r) {
+      return { x: function () {
+          if (0 === n) return SegmentOps.unsortedSegmentSum(r, t, e.shape[n]);var a = e.shape,
+              o = t.size,
+              i = a.slice(0, n),
+              s = i.length,
+              u = a.slice(n, a.length).slice(1),
+              l = u.length,
+              c = arrayRange(0, s),
+              d = arrayRange(s + 1, s + 1 + l),
+              p = arrayConcat([i, [o], u]),
+              h = r.reshape(p),
+              f = t.reshape([o]),
+              g = arrayConcat([[s], c, d]),
+              m = h.transpose(g),
+              v = SegmentOps.unsortedSegmentSum(m, f, e.shape[n]),
+              y = getUndoAxesPermutation(g);return v = v.transpose(y);
+        } };
+    });
+  }, e.pad1d = function (t, n, r) {
+    return void 0 === r && (r = 0), assert(2 === n.length, "Invalid number of paddings. Must be length of 2."), e.pad(t, [n], r);
+  }, e.pad2d = function (t, n, r) {
+    return void 0 === r && (r = 0), assert(2 === n.length && 2 === n[0].length && 2 === n[1].length, "Invalid number of paddings. Must be length of 2 each."), e.pad(t, n, r);
+  }, e.pad3d = function (t, n, r) {
+    return void 0 === r && (r = 0), assert(3 === n.length && 2 === n[0].length && 2 === n[1].length && 2 === n[2].length, "Invalid number of paddings. Must be length of 2 each."), e.pad(t, n, r);
+  }, e.pad4d = function (t, n, r) {
+    return void 0 === r && (r = 0), assert(4 === n.length && 2 === n[0].length && 2 === n[1].length && 2 === n[2].length && 2 === n[3].length, "Invalid number of paddings. Must be length of 2 each."), e.pad(t, n, r);
+  }, e.pad = function (e, t, n) {
+    if (void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e }, "pad"), 0 === e.rank) throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var r = t.map(function (e) {
+      return e[0];
+    });return ENV.engine.runKernel(function (r) {
+      return r.pad(e, t, n);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.slice(r, e.shape);
+        } };
+    });
+  }, e.stack = function (e, t) {
+    if (void 0 === t && (t = 0), assertArgumentsAreTensors({ tensors: e }, "stack"), assert(e.length >= 1, "Pass at least one tensor to tf.stack"), 1 === e.length) return e[0].expandDims(t);var n = e[0].rank,
+        r = e[0].shape,
+        a = e[0].dtype;assert(t <= n, "Axis must be <= rank of the tensor"), e.forEach(function (e) {
+      assertShapesMatch(r, e.shape, "All tensors passed to stack must have matching shapes");
+    }), e.forEach(function (e) {
+      assert(a === e.dtype, "All tensors passed to stack must have matching dtypes");
+    });var o = e.map(function (e) {
+      return e.expandDims(t);
+    });return ConcatOps.concat(o, t);
+  }, e.unstack = function (e, t) {
+    void 0 === t && (t = 0);for (var n, r = e.shape[t], a = Array(e.rank - 1).fill(0), o = 0, i = 0; i < e.rank; i++) i !== t && (a[o] = e.shape[i], o++);n = Array(r).fill(1);var s = Array(e.rank).fill(0),
+        u = e.shape.slice();return n.map(function (n) {
+      u[t] = n;var r = e.slice(s, u);return s[t] += n, r.reshape(a);
+    });
+  }, e.split = function (e, t, n) {
+    var r;void 0 === n && (n = 0), assertArgumentsAreTensors({ x: e }, "split"), n = parseAxisParam(n, e.shape)[0], "number" == typeof t ? (assert(e.shape[n] % t == 0, "Number of splits must evenly divide the axis."), r = Array(t).fill(e.shape[n] / t)) : (assert(e.shape[n] === t.reduce(function (e, t) {
+      return e + t;
+    }), "The sum of sizes must match the size of the axis dimension."), r = t);var a = Array(e.rank).fill(0),
+        o = e.shape.slice();return r.map(function (t) {
+      o[n] = t;var r = e.slice(a, o);return a[n] += t, r;
+    });
+  }, e.cumsum = function (e, t, n, r) {
+    void 0 === t && (t = 0), void 0 === n && (n = !1), void 0 === r && (r = !1), assertArgumentsAreTensors({ x: e }, "cumsum");var a = getAxesPermutation([t |= 0], e.rank),
+        o = e;null != a && (o = e.transpose(a));var i = getInnerMostAxes(1, e.rank)[0],
+        s = ENV.engine.runKernel(function (e) {
+      return e.cumsum(o, i, n, r);
+    }, { permutedX: o }, function (e) {
+      return { permutedX: function () {
+          return e.cumsum(t, n, !r);
+        } };
+    });return null != a && (s = s.transpose(a)), s;
+  }, e.expandDims = function (t, n) {
+    void 0 === n && (n = 0), assertArgumentsAreTensors({ x: t }, "expandDims"), assert(n <= t.rank, "Axis must be <= rank of the tensor");var r = t.shape.slice();return r.splice(n, 0, 1), e.reshape(t, r);
+  }, e.linspace = function (t, n, r) {
+    if (0 === r) throw new Error("Cannot request zero samples");var a = (n - t) / (r - 1),
+        o = makeZerosTypedArray(r, "float32");o[0] = t;for (var i = 1; i < o.length; i++) o[i] = o[i - 1] + a;return e.tensor1d(o, "float32");
+  }, e.range = function (t, n, r, a) {
+    if (void 0 === r && (r = 1), void 0 === a && (a = "float32"), 0 === r) throw new Error("Cannot have a step of zero");if (t === n || t < n && r < 0 || n < t && r > 1) return e.zeros([0], a);var o = makeZerosTypedArray(Math.abs(Math.ceil((n - t) / r)), a);n < t && 1 === r && (r = -1), o[0] = t;for (var i = 1; i < o.length; i++) o[i] = o[i - 1] + r;return e.tensor1d(o, a);
+  }, e.buffer = function (e, t, n) {
+    return void 0 === t && (t = "float32"), new TensorBuffer(e, t, n);
+  }, e.print = function (e, t) {
+    void 0 === t && (t = !1), console.log(tensorToString(e, t));
+  }, __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "scalar", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor1d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor2d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor3d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor4d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor5d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "tensor6d", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "ones", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "zeros", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "fill", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "onesLike", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "zerosLike", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "clone", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "eye", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "randomNormal", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "truncatedNormal", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "randomUniform", null), __decorate([operation], e, "rand", null), __decorate([operation], e, "multinomial", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "oneHot", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" }), operation], e, "fromPixels", null), __decorate([doc({ heading: "Visualization" })], e, "toPixels", null), __decorate([doc({ heading: "Tensors", subheading: "Transformations" }), operation], e, "reshape", null), __decorate([doc({ heading: "Tensors", subheading: "Transformations" })], e, "squeeze", null), __decorate([doc({ heading: "Tensors", subheading: "Transformations" }), operation], e, "cast", null), __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "tile", null), __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "gather", null), __decorate([doc({ heading: "Tensors", subheading: "Transformations" }), operation], e, "pad", null), __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "stack", null), __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "unstack", null), __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "split", null), __decorate([doc({ heading: "Operations", subheading: "Scan" })], e, "cumsum", null), __decorate([doc({ heading: "Tensors", subheading: "Transformations" }), operation], e, "expandDims", null), __decorate([operation, doc({ heading: "Tensors", subheading: "Creation" })], e, "linspace", null), __decorate([operation, doc({ heading: "Tensors", subheading: "Creation" })], e, "range", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "buffer", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e, "print", null), e;
+}();function makeZerosTypedArray(e, t) {
+  if (null == t || "float32" === t) return new Float32Array(e);if ("int32" === t) return new Int32Array(e);if ("bool" === t) return new Uint8Array(e);throw new Error("Unknown data type $ {dtype}");
+}function makeOnesTypedArray(e, t) {
+  for (var n = makeZerosTypedArray(e, t), r = 0; r < n.length; r++) n[r] = 1;return n;
+}function toTypedArray(e, t) {
+  return noConversionNeeded(e, t) ? e : (Array.isArray(e) && (e = flatten(e)), copyTypedArray(e, t));
+}function noConversionNeeded(e, t) {
+  return e instanceof Float32Array && "float32" === t || e instanceof Int32Array && "int32" === t || e instanceof Uint8Array && "bool" === t;
+}function arrayRange(e, t) {
+  for (var n = [], r = e; r < t; ++r) n.push(r);return n;
+}function arrayConcat(e) {
+  for (var t = [], n = 0; n < e.length; ++n) for (var r = 0; r < e[n].length; ++r) t.push(e[n][r]);return t;
+}var BatchNormOps = function () {
+  function e() {}return e.batchNormalization2d = function (t, n, r, a, o, i) {
+    return void 0 === a && (a = .001), assert(2 === t.rank, "Error in batchNormalization3D: x must be rank 3 but got rank " + t.rank + "."), assert(2 === n.rank || 1 === n.rank, "Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank " + n.rank + "."), assert(2 === r.rank || 1 === r.rank, "Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank " + r.rank + "."), null != o && assert(2 === o.rank || 1 === o.rank, "Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank " + o.rank + "."), null != i && assert(2 === i.rank || 1 === i.rank, "Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank " + i.rank + "."), e.batchNormalization(t, n, r, a, o, i);
+  }, e.batchNormalization3d = function (t, n, r, a, o, i) {
+    return void 0 === a && (a = .001), assert(3 === t.rank, "Error in batchNormalization3D: x must be rank 3 but got rank " + t.rank + "."), assert(3 === n.rank || 1 === n.rank, "Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank " + n.rank + "."), assert(3 === r.rank || 1 === r.rank, "Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank " + r.rank + "."), null != o && assert(3 === o.rank || 1 === o.rank, "Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank " + o.rank + "."), null != i && assert(3 === i.rank || 1 === i.rank, "Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank " + i.rank + "."), e.batchNormalization(t, n, r, a, o, i);
+  }, e.batchNormalization4d = function (t, n, r, a, o, i) {
+    return void 0 === a && (a = .001), assert(4 === t.rank, "Error in batchNormalization4D: x must be rank 4 but got rank " + t.rank + "."), assert(4 === n.rank || 1 === n.rank, "Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank " + n.rank + "."), assert(4 === r.rank || 1 === r.rank, "Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank " + r.rank + "."), null != o && assert(4 === o.rank || 1 === o.rank, "Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank " + o.rank + "."), null != i && assert(4 === i.rank || 1 === i.rank, "Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank " + i.rank + "."), e.batchNormalization(t, n, r, a, o, i);
+  }, e.batchNormalization = function (e, t, n, r, a, o) {
+    var i;void 0 === r && (r = .001), assertArgumentsAreTensors({ x: e, mean: t, variance: n }, "batchNormalization"), null != a && assertArgumentsAreTensors({ scale: a }, "batchNormalization"), null != o && assertArgumentsAreTensors({ offset: o }, "batchNormalization"), assert(t.rank === n.rank, "Batch normalization gradient requires mean and variance to have equal ranks."), assert(null == o || t.rank === o.rank, "Batch normalization gradient requires mean and offset to have equal ranks."), assert(null == a || t.rank === a.rank, "Batch normalization gradient requires mean and scale to have equal ranks."), i = 0 === e.rank || 1 === e.rank ? e.as4D(1, 1, 1, e.size) : 2 === e.rank ? e.as4D(1, 1, e.shape[0], e.shape[1]) : 3 === e.rank ? e.as4D(1, e.shape[0], e.shape[1], e.shape[2]) : e;return ENV.engine.runKernel(function (e) {
+      return e.batchNormalization(i, batchnormReshape4D(t), batchnormReshape4D(n), r, batchnormReshape4D(a), batchnormReshape4D(o));
+    }, { x: e, mean: t, variance: n, scale: a, offset: o }, function (o) {
+      var s = null == a ? ArrayOps.scalar(1) : a,
+          u = getReductionAxes(t.shape, i.shape),
+          l = [];if (1 === t.rank) {
+        for (var c = 0; c < i.shape.length - 1; ++c) l.push(i.shape[c]);l.push(1);
+      }var d = e.sub(t),
+          p = o.mul(s),
+          h = rsqrt(n.add(ArrayOps.scalar(r))),
+          f = h.mul(h).mul(h).mul(ArrayOps.scalar(-.5));return { x: function () {
+          return 1 === t.rank ? o.mul(ArrayOps.tile(h.as4D(1, 1, 1, t.shape[0]), l)).mul(s).reshape(e.shape) : o.mul(h).mul(s).reshape(e.shape);
+        }, mean: function () {
+          var e = h.mul(ArrayOps.scalar(-1)).mul(p);return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);
+        }, variance: function () {
+          var e = f.mul(d).mul(p);return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);
+        }, scale: function () {
+          var e = d.mul(h),
+              n = o.mul(e);return 1 === t.rank && (n = n.sum(u)), n.reshape(t.shape);
+        }, offset: function () {
+          var e = o;return 1 === t.rank && (e = e.sum(u)), e.reshape(t.shape);
+        } };
+    }).reshape(e.shape);
+  }, __decorate([operation], e, "batchNormalization2d", null), __decorate([operation], e, "batchNormalization3d", null), __decorate([operation], e, "batchNormalization4d", null), __decorate([doc({ heading: "Operations", subheading: "Normalization" })], e, "batchNormalization", null), e;
+}();function batchnormReshape4D(e) {
+  return null == e ? null : 0 === e.rank ? e.as1D() : 1 === e.rank ? e : 2 === e.rank ? e.as4D(1, 1, e.shape[0], e.shape[1]) : 3 === e.rank ? e.as4D(1, e.shape[0], e.shape[1], e.shape[2]) : e;
+}function computePool2DInfo(e, t, n, r, a, o) {
+  void 0 === o && (o = "channelsLast");var i,
+      s = parseTupleParam(t),
+      u = s[0],
+      l = s[1];if ("channelsLast" === o) i = [u, l, e[3], e[3]];else {
+    if ("channelsFirst" !== o) throw new Error("Unknown dataFormat " + o);i = [u, l, e[1], e[1]];
+  }return computeConv2DInfo(e, i, n, 1, r, a, !1, o);
+}function computeConv2DInfo(e, t, n, r, a, o, i, s) {
+  void 0 === i && (i = !1), void 0 === s && (s = "channelsLast");var u = [-1, -1, -1, -1],
+      l = u[0],
+      c = u[1],
+      d = u[2],
+      p = u[3];if ("channelsLast" === s) l = e[0], c = e[1], d = e[2], p = e[3];else {
+    if ("channelsFirst" !== s) throw new Error("Unknown dataFormat " + s);l = e[0], p = e[1], c = e[2], d = e[3];
+  }var h,
+      f = t[0],
+      g = t[1],
+      m = t[3],
+      v = parseTupleParam(n),
+      y = v[0],
+      x = v[1],
+      b = parseTupleParam(r),
+      E = b[0],
+      S = b[1],
+      A = getPadAndOutInfo(a, c, d, y, x, getEffectiveFilterSize(f, E), getEffectiveFilterSize(g, S), o),
+      T = A.padInfo,
+      w = A.outHeight,
+      _ = A.outWidth,
+      R = i ? m * p : m;return "channelsFirst" === s ? h = [l, R, w, _] : "channelsLast" === s && (h = [l, w, _, R]), { batchSize: l, dataFormat: s, inHeight: c, inWidth: d, inChannels: p, outHeight: w, outWidth: _, outChannels: R, padInfo: T, strideHeight: y, strideWidth: x, filterHeight: f, filterWidth: g, dilationHeight: E, dilationWidth: S, inShape: e, outShape: h, filterShape: t };
+}function computeOutputShape3D(e, t, n, r, a, o) {
+  null == a && (a = computeDefaultPad(e, t, r));var i = e[0],
+      s = e[1],
+      u = conditionalRound((i - t + 2 * a) / r + 1, o);assert(isInt(u), "The output # of rows (" + u + ") must be an integer. Change the stride and/or zero pad parameters");var l = conditionalRound((s - t + 2 * a) / r + 1, o);return assert(isInt(l), "The output # of columns (" + l + ") must be an integer. Change the stride and/or zero pad parameters"), [u, l, n];
+}function computeDefaultPad(e, t, n, r) {
+  void 0 === r && (r = 1);var a = getEffectiveFilterSize(t, r);return Math.floor((e[0] * (n - 1) - n + a) / 2);
+}function parseTupleParam(e) {
+  return "number" == typeof e ? [e, e] : e;
+}function getEffectiveFilterSize(e, t) {
+  return t <= 1 ? e : e + (e - 1) * (t - 1);
+}function getPadAndOutInfo(e, t, n, r, a, o, i, s) {
+  var u, l, c;if ("number" == typeof e) {
+    u = { top: e, bottom: e, left: e, right: e, type: 0 === e ? "VALID" : "NUMBER" };var d = computeOutputShape3D([t, n, 1], o, 1, r, e, s);l = d[0], c = d[1];
+  } else if ("same" === e) {
+    var p = ((l = Math.ceil(t / r)) - 1) * r + o - t,
+        h = ((c = Math.ceil(n / a)) - 1) * a + i - n,
+        f = Math.floor(p / 2),
+        g = p - f,
+        m = Math.floor(h / 2);u = { top: f, bottom: g, left: m, right: h - m, type: "SAME" };
+  } else {
+    if ("valid" !== e) throw Error("Unknown padding parameter: " + e);u = { top: 0, bottom: 0, left: 0, right: 0, type: "VALID" }, l = Math.ceil((t - o + 1) / r), c = Math.ceil((n - i + 1) / a);
+  }return { padInfo: u, outHeight: l, outWidth: c };
+}function conditionalRound(e, t) {
+  if (!t) return e;switch (t) {case "round":
+      return Math.round(e);case "ceil":
+      return Math.ceil(e);case "floor":
+      return Math.floor(e);default:
+      throw new Error("Unknown roundingMode " + t);}
+}var ConvOps = function () {
+  function e() {}return e.conv1d = function (t, n, r, a, o, i, s) {
+    void 0 === o && (o = "NWC"), void 0 === i && (i = 1), assertArgumentsAreTensors({ x: t, filter: n }, "conv1d");var u = t,
+        l = !1;2 === t.rank && (l = !0, u = t.as3D(1, t.shape[0], t.shape[1])), assert(3 === u.rank, "Error in conv1d: input must be rank 3, but got rank " + u.rank + "."), assert(3 === n.rank, "Error in conv1d: filter must be rank 3, but got rank " + n.rank + "."), null != s && assert(isInt(a), "Error in conv1d: pad must be an integer when using, dimRoundingMode " + s + " but got pad " + a + "."), assert(u.shape[2] === n.shape[1], "Error in conv1d: depth of input (" + u.shape[2] + ") must match input depth for filter " + n.shape[1] + "."), assert(eitherStridesOrDilationsAreOne(r, i), "Error in conv1D: Either stride or dilation must be 1. Got stride " + r + " and dilation '" + i + "'"), assert("NWC" === o, "Error in conv1d: got dataFormat of " + o + " but only NWC is currently supported.");var c = n.as4D(1, n.shape[0], n.shape[1], n.shape[2]),
+        d = u.as4D(u.shape[0], 1, u.shape[1], u.shape[2]),
+        p = [1, r],
+        h = [1, i],
+        f = e.conv2d(d, c, p, a, "NHWC", h, s);return l ? f.as2D(f.shape[2], f.shape[3]) : f.as3D(f.shape[0], f.shape[2], f.shape[3]);
+  }, e.conv2d = function (t, n, r, a, o, i, s) {
+    void 0 === o && (o = "NHWC"), void 0 === i && (i = [1, 1]), assertArgumentsAreTensors({ x: t, filter: n }, "conv2d");var u = t,
+        l = !1;3 === t.rank && (l = !0, u = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === u.rank, "Error in conv2d: input must be rank 4, but got rank " + u.rank + "."), assert(4 === n.rank, "Error in conv2d: filter must be rank 4, but got rank " + n.rank + "."), null != s && assert(isInt(a), "Error in conv2d: pad must be an integer when using, dimRoundingMode " + s + " but got pad " + a + "."), assert(u.shape[3] === n.shape[2], "Error in conv2d: depth of input (" + u.shape[3] + ") must match input depth for filter " + n.shape[2] + "."), assert(eitherStridesOrDilationsAreOne(r, i), "Error in conv2D: Either strides or dilations must be 1. Got strides " + r + " and dilations '" + i + "'"), assert("NHWC" === o, "Error in conv2d: got dataFormat of " + o + " but only NHWC is currently supported.");var c = computeConv2DInfo(u.shape, n.shape, r, i, a, s),
+        d = ENV.engine.runKernel(function (e) {
+      return e.conv2d(u, n, c);
+    }, { x: u, filter: n }, function (t) {
+      return assert(tupleValuesAreOne(i), "Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '" + i + "'"), { x: function () {
+          return e.conv2dDerInput(u.shape, t, n, r, a);
+        }, filter: function () {
+          return e.conv2dDerFilter(u, t, n.shape, r, a);
+        } };
+    });return l ? d.as3D(d.shape[1], d.shape[2], d.shape[3]) : d;
+  }, e.conv2dDerInput = function (e, t, n, r, a, o) {
+    assertArgumentsAreTensors({ dy: t, filter: n }, "conv2dDerInput"), assert(e.length === t.rank, "Length of inShape (" + e.length + ") and rank of dy (" + t.rank + ") must match");var i = e,
+        s = t,
+        u = !1;3 === t.rank && (u = !0, s = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]), i = [1, e[0], e[1], e[2]]);var l = i[3],
+        c = s.shape[3];assert(4 === i.length, "Error in conv2dDerInput: inShape must be length 4, but got length " + i.length + "."), assert(4 === s.rank, "Error in conv2dDerInput: dy must be rank 4, but got rank " + s.rank), assert(4 === n.rank, "Error in conv2dDerInput: filter must be rank 4, but got rank " + n.rank), assert(l === n.shape[2], "Error in conv2dDerInput: depth of input (" + l + ") must match input depth for filter " + n.shape[2] + "."), assert(c === n.shape[3], "Error in conv2dDerInput: depth of output (" + c + ") must match output depth for filter " + n.shape[3] + "."), null != o && assert(isInt(a), "Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode " + o + " but got pad " + a + ".");var d = computeConv2DInfo(i, n.shape, r, 1, a, o),
+        p = ENV.engine.runKernel(function (e) {
+      return e.conv2dDerInput(s, n, d);
+    }, { dy4D: s });return u ? p.as3D(p.shape[1], p.shape[2], p.shape[3]) : p;
+  }, e.conv2dDerFilter = function (e, t, n, r, a, o) {
+    assertArgumentsAreTensors({ x: e, dy: t }, "conv2dDerFilter");var i = e;3 === e.rank && (i = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var s = t;3 === s.rank && (s = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, "Error in conv2dDerFilter: input must be rank 4, but got shape " + i.shape + "."), assert(4 === s.rank, "Error in conv2dDerFilter: dy must be rank 4, but got shape " + s.shape + "."), assert(4 === n.length, "Error in conv2dDerFilter: filterShape must be length 4, but got " + n + "."), assert(i.shape[3] === n[2], "Error in conv2dDerFilter: depth of input " + i.shape[3] + ") must match input depth in filter (" + n[2] + "."), assert(s.shape[3] === n[3], "Error in conv2dDerFilter: depth of dy (" + s.shape[3] + ") must match output depth for filter (" + n[3] + ")."), null != o && assert(isInt(a), "Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode " + o + " but got pad " + a + ".");var u = computeConv2DInfo(i.shape, n, r, 1, a, o);return ENV.engine.runKernel(function (e) {
+      return e.conv2dDerFilter(i, s, u);
+    }, { x4D: i, dy4D: s });
+  }, e.conv2dTranspose = function (t, n, r, a, o, i) {
+    return assertArgumentsAreTensors({ x: t, filter: n }, "conv2dTranspose"), e.conv2dDerInput(r, t, n, a, o, i);
+  }, e.depthwiseConv2d = function (e, t, n, r, a, o, i) {
+    void 0 === a && (a = "NHWC"), void 0 === o && (o = [1, 1]), assertArgumentsAreTensors({ x: e, filter: t }, "depthwiseConv2d");var s = e,
+        u = !1;3 === e.rank && (u = !0, s = e.as4D(1, e.shape[0], e.shape[1], e.shape[2])), assert(4 === s.rank, "Error in depthwiseConv2d: input must be rank 4, but got rank " + s.rank + "."), assert(4 === t.rank, "Error in depthwiseConv2d: filter must be rank 4, but got rank " + t.rank + "."), assert(s.shape[3] === t.shape[2], "Error in depthwiseConv2d: number of input channels (" + s.shape[3] + ") must match the inChannels dimension in filter " + t.shape[2] + "."), null == o && (o = [1, 1]), assert(eitherStridesOrDilationsAreOne(n, o), "Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides " + n + " and dilations '" + o + "'"), null != i && assert(isInt(r), "Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode " + i + " but got pad " + r + ".");var l = computeConv2DInfo(s.shape, t.shape, n, o, r, i, !0),
+        c = ENV.engine.runKernel(function (e) {
+      return e.depthwiseConv2D(s, t, l);
+    }, { x: s, filter: t }, function (e) {
+      return assert(tupleValuesAreOne(o), "Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '" + o + "'"), { x: function () {
+          return depthwiseConv2dDerInput(s.shape, e, t, l);
+        }, filter: function () {
+          return depthwiseConv2dDerFilter(s, e, t.shape, l);
+        } };
+    });return u ? c.as3D(c.shape[1], c.shape[2], c.shape[3]) : c;
+  }, e.separableConv2d = function (t, n, r, a, o, i, s) {
+    void 0 === i && (i = [1, 1]), void 0 === s && (s = "NHWC"), assertArgumentsAreTensors({ x: t, depthwiseFilter: n, pointwiseFilter: r }, "separableConv2d");var u = t,
+        l = !1;if (3 === t.rank && (l = !0, u = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), "NCHW" === s) throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");assert(4 === u.rank, "Error in separableConv2d: input must be rank 4, but got rank " + u.rank + "."), assert(4 === n.rank, "Error in separableConv2d: depthwise filter must be rank 4, but got rank " + n.rank + "."), assert(4 === r.rank, "Error in separableConv2d: pointwise filter must be rank 4, but got rank " + n.rank + "."), assert(1 === r.shape[0], "Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got " + r.shape[0] + "."), assert(1 === r.shape[1], "Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got " + r.shape[1] + ".");var c = n.shape[2],
+        d = n.shape[3];assert(r.shape[2] === c * d, "Error in separableConv2d: the third dimension of pointwise filter must be " + c * d + ", but got " + r.shape[2] + ".");var p = e.depthwiseConv2d(u, n, a, o, s, i),
+        h = e.conv2d(p, r, 1, "valid", s);return l ? h.as3D(h.shape[1], h.shape[2], h.shape[3]) : h;
+  }, __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "conv1d", null), __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "conv2d", null), __decorate([operation], e, "conv2dDerInput", null), __decorate([operation], e, "conv2dDerFilter", null), __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "conv2dTranspose", null), __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "depthwiseConv2d", null), __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "separableConv2d", null), e;
+}();function parseTupleParam$1(e) {
+  return "number" == typeof e ? [e, e] : e;
+}function tupleValuesAreOne(e) {
+  var t = parseTupleParam$1(e),
+      n = t[0],
+      r = t[1];return 1 === n && 1 === r;
+}function eitherStridesOrDilationsAreOne(e, t) {
+  return tupleValuesAreOne(e) || tupleValuesAreOne(t);
+}function depthwiseConv2dDerInput(e, t, n, r) {
+  var a = t,
+      o = !1;3 === t.rank && (o = !0, a = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]));var i = ENV.engine.runKernel(function (e) {
+    return e.depthwiseConv2DDerInput(a, n, r);
+  }, { dy4D: a });return o ? i.as3D(i.shape[1], i.shape[2], i.shape[3]) : i;
+}function depthwiseConv2dDerFilter(e, t, n, r) {
+  var a = e;3 === e.rank && (a = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t;return 3 === o.rank && (o = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), ENV.engine.runKernel(function (e) {
+    return e.depthwiseConv2DDerFilter(a, o, r);
+  }, { x4D: a, dy4D: o });
+}var Reduction,
+    ImageOps = function () {
+  function e() {}return e.resizeBilinear = function (e, t, n) {
+    void 0 === n && (n = !1), assertArgumentsAreTensors({ images: e }, "resizeBilinear"), assert(3 === e.rank || 4 === e.rank, "Error in resizeBilinear: x must be rank 3 or 4, but got rank " + e.rank + "."), assert(2 === t.length, "Error in resizeBilinear: new shape must 2D, but got shape " + t + ".");var r = e,
+        a = !1;3 === e.rank && (a = !0, r = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t[0],
+        i = t[1],
+        s = ENV.engine.runKernel(function (e, t) {
+      return e.resizeBilinear(r, o, i, n);
+    }, { batchImages: r }, function (e, t) {
+      return { batchImages: function () {
+          return ENV.engine.runKernel(function (t) {
+            return t.resizeBilinearBackprop(e, r, n);
+          }, {});
+        } };
+    });return a ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;
+  }, e.resizeNearestNeighbor = function (e, t, n) {
+    void 0 === n && (n = !1), assertArgumentsAreTensors({ images: e }, "resizeNearestNeighbor"), assert(3 === e.rank || 4 === e.rank, "Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank " + e.rank + "."), assert(2 === t.length, "Error in resizeNearestNeighbor: new shape must 2D, but got shape " + t + "."), assert("float32" === e.dtype || "int32" === e.dtype, "`images` must have `int32` or `float32` as dtype");var r = e,
+        a = !1;3 === e.rank && (a = !0, r = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var o = t[0],
+        i = t[1],
+        s = ENV.engine.runKernel(function (e) {
+      return e.resizeNearestNeighbor(r, o, i, n);
+    }, { batchImages: r });return a ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;
+  }, __decorate([doc({ heading: "Operations", subheading: "Images", namespace: "image" }), operation], e, "resizeBilinear", null), __decorate([doc({ heading: "Operations", subheading: "Images", namespace: "image" }), operation], e, "resizeNearestNeighbor", null), e;
+}(),
+    Tracking = function () {
+  function e() {}return e.tidy = function (e, t, n) {
+    void 0 === n && (n = !1);var r = null;if (null == t) {
+      if ("function" != typeof e) throw new Error("Please provide a function to tidy()");t = e;
+    } else {
+      if ("string" != typeof e && !(e instanceof String)) throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if ("function" != typeof t) throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");r = e;
+    }ENV.engine.startScope(r, n);var a = t();return a instanceof Promise && console.error("Cannot return a Promise inside of tidy."), ENV.engine.endScope(a, n), a;
+  }, e.dispose = function (e) {
+    getTensorsInContainer(e).forEach(function (e) {
+      return e.dispose();
+    });
+  }, e.keep = function (e) {
+    return ENV.engine.keep(e);
+  }, e.time = function (e) {
+    return ENV.engine.time(e);
+  }, __decorate([doc({ heading: "Performance", subheading: "Memory" })], e, "tidy", null), __decorate([doc({ heading: "Performance", subheading: "Memory" })], e, "dispose", null), __decorate([doc({ heading: "Performance", subheading: "Memory" })], e, "keep", null), __decorate([doc({ heading: "Performance", subheading: "Timing" })], e, "time", null), e;
+}(),
+    LinalgOps = function () {
+  function e() {}return e.gramSchmidt = function (e) {
+    var t;if (Array.isArray(e)) {
+      t = !1, assert(null != e && e.length > 0, "Gram-Schmidt process: input must not be null, undefined, or empty");for (var n = e[0].shape[0], r = 1; r < e.length; ++r) assert(e[r].shape[0] === n, "Gram-Schmidt: Non-unique lengths found in the input vectors: (" + e[r].shape[0] + " vs. " + n + ")");
+    } else t = !0, e = split(e, e.shape[0], 0).map(function (e) {
+      return squeeze(e, [0]);
+    });assert(e.length <= e[0].shape[0], "Gram-Schmidt: Number of vectors (" + e.length + ") exceeds number of dimensions (" + e[0].shape[0] + ").");var a = [],
+        o = e,
+        i = function (e) {
+      a.push(Tracking.tidy(function () {
+        var t = o[e];if (e > 0) for (var n = 0; n < e; ++n) {
+          var r = sum(a[n].mulStrict(t)).mul(a[n]);t = t.sub(r);
+        }return t.div(norm(t, "euclidean"));
+      }));
+    };for (r = 0; r < e.length; ++r) i(r);return t ? stack(a, 0) : a;
+  }, __decorate([doc({ heading: "Operations", subheading: "Linear Algebra" }), operation], e, "gramSchmidt", null), e;
+}();!function (e) {
+  e[e.NONE = 0] = "NONE", e[e.MEAN = 1] = "MEAN", e[e.SUM = 2] = "SUM", e[e.SUM_BY_NONZERO_WEIGHTS = 3] = "SUM_BY_NONZERO_WEIGHTS";
+}(Reduction || (exports.Reduction = Reduction = {}));var LossOps = function () {
+  function e() {}return e.computeWeightedLoss = function (e, t, n) {
+    void 0 === n && (n = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ losses: e }, "computeWeightedLoss"), null != t && assertArgumentsAreTensors({ weights: t }, "computeWeightedLoss");var r = null == t ? e : e.mul(t);if (n === Reduction.NONE) return r;if (n === Reduction.SUM) return r.sum();if (n === Reduction.MEAN) return null == t ? r.mean() : r.sum().div(t.sum());if (n === Reduction.SUM_BY_NONZERO_WEIGHTS) {
+      if (null == t) return r.sum().div(scalar(e.size));var a = t.notEqual(scalar(0)).sum().toFloat();return r.sum().div(a);
+    }throw Error("Unknown reduction: " + n);
+  }, e.absoluteDifference = function (t, n, r, a) {
+    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "absoluteDifference"), null != r && assertArgumentsAreTensors({ weights: r }, "absoluteDifference"), assertShapesMatch(t.shape, n.shape, "Error in absoluteDifference: ");var o = t.sub(n).abs();return e.computeWeightedLoss(o, r, a);
+  }, e.meanSquaredError = function (t, n, r, a) {
+    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "meanSquaredError"), null != r && assertArgumentsAreTensors({ weights: r }, "meanSquaredError"), assertShapesMatch(t.shape, n.shape, "Error in meanSquaredError: ");var o = t.squaredDifference(n);return e.computeWeightedLoss(o, r, a);
+  }, e.cosineDistance = function (t, n, r, a, o) {
+    void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "cosineDistance"), null != a && assertArgumentsAreTensors({ weights: a }, "cosineDistance"), assertShapesMatch(t.shape, n.shape, "Error in cosineDistance: ");var i = scalar(1).sub(t.mul(n).sum(r, !0));return e.computeWeightedLoss(i, a, o);
+  }, e.hingeLoss = function (t, n, r, a) {
+    void 0 === a && (a = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "hingeLoss"), null != r && assertArgumentsAreTensors({ weights: r }, "hingeLoss"), assertShapesMatch(t.shape, n.shape, "Error in hingeLoss: ");var o = scalar(1);t = scalar(2).mul(t).sub(o);var i = o.sub(t.mul(n)).relu();return e.computeWeightedLoss(i, r, a);
+  }, e.logLoss = function (t, n, r, a, o) {
+    void 0 === a && (a = 1e-7), void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "logLoss"), null != r && assertArgumentsAreTensors({ weights: r }, "logLoss"), assertShapesMatch(t.shape, n.shape, "Error in logLoss: ");var i = scalar(1),
+        s = scalar(a),
+        u = t.mul(n.add(s).log()).neg().sub(i.sub(t).mul(i.sub(n).add(s).log()));return e.computeWeightedLoss(u, r, o);
+  }, e.huberLoss = function (t, n, r, a, o) {
+    void 0 === a && (a = 1), void 0 === o && (o = Reduction.SUM_BY_NONZERO_WEIGHTS), assertArgumentsAreTensors({ labels: t, predictions: n }, "huberLoss"), null != r && assertArgumentsAreTensors({ weights: r }, "huberLoss"), assertShapesMatch(t.shape, n.shape, "Error in huberLoss: ");var i = scalar(a),
+        s = n.sub(t).abs(),
+        u = minimum(s, i),
+        l = s.sub(u),
+        c = scalar(.5).mul(u.square()).add(i.mul(l));return e.computeWeightedLoss(c, r, o);
+  }, __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "computeWeightedLoss", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "absoluteDifference", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "meanSquaredError", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "cosineDistance", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "hingeLoss", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "logLoss", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "huberLoss", null), e;
+}(),
+    LRNOps = function () {
+  function e() {}return e.localResponseNormalization = function (e, t, n, r, a) {
+    void 0 === t && (t = 5), void 0 === n && (n = 1), void 0 === r && (r = 1), void 0 === a && (a = .5), assertArgumentsAreTensors({ x: e }, "localResponseNormalization"), assert(4 === e.rank || 3 === e.rank, "Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank " + e.rank + "."), assert(isInt(t), "Error in localResponseNormalization: depthRadius must be an integer\n                     but got depthRadius " + t + ".");var o = e,
+        i = !1;3 === e.rank && (i = !0, o = e.as4D(1, e.shape[0], e.shape[1], e.shape[2]));var s = ENV.engine.runKernel(function (e) {
+      return e.localResponseNormalization4D(o, t, n, r, a);
+    }, { x4D: o });return i ? s.as3D(s.shape[1], s.shape[2], s.shape[3]) : s;
+  }, __decorate([doc({ heading: "Operations", subheading: "Normalization" }), operation], e, "localResponseNormalization", null), e;
+}(),
+    LSTMOps = function () {
+  function e() {}return e.multiRNNCell = function (e, t, n, r) {
+    assertArgumentsAreTensors({ data: t, c: n, h: r }, "multiRNNCell");for (var a = t, o = [], i = 0; i < e.length; i++) {
+      var s = e[i](a, n[i], r[i]);o.push(s[0]), o.push(s[1]), a = s[1];
+    }var u = [],
+        l = [];for (i = 0; i < o.length; i += 2) u.push(o[i]), l.push(o[i + 1]);return [u, l];
+  }, e.basicLSTMCell = function (e, t, n, r, a, o) {
+    assertArgumentsAreTensors({ forgetBias: e, lstmKernel: t, lstmBias: n, data: r, c: a, h: o }, "basicLSTMCell");var i = r.concat(o, 1).matMul(t).add(n),
+        s = i.shape[0],
+        u = i.shape[1] / 4,
+        l = [s, u],
+        c = i.slice([0, 0], l),
+        d = i.slice([0, u], l),
+        p = i.slice([0, 2 * u], l),
+        h = i.slice([0, 3 * u], l),
+        f = c.sigmoid().mulStrict(d.tanh()).addStrict(a.mulStrict(e.add(p).sigmoid()));return [f, f.tanh().mulStrict(h.sigmoid())];
+  }, __decorate([doc({ heading: "Operations", subheading: "RNN" }), operation], e, "multiRNNCell", null), __decorate([doc({ heading: "Operations", subheading: "RNN" }), operation], e, "basicLSTMCell", null), e;
+}(),
+    MatmulOps = function () {
+  function e() {}return e.matMul = function (e, t, n, r) {
+    void 0 === n && (n = !1), void 0 === r && (r = !1), assertArgumentsAreTensors({ a: e, b: t }, "matMul");var a = n ? e.shape[0] : e.shape[1],
+        o = r ? t.shape[1] : t.shape[0];assert(2 === e.rank && 2 === t.rank, "Error in matMul: inputs must be rank 2, got ranks " + e.rank + " and " + t.rank + "."), assert(a === o, "Error in matMul: inner shapes (" + a + ") and (" + o + ") of Tensors with shapes " + e.shape + " and " + t.shape + " and transposeA=" + n + " and transposeB=" + r + " must match.");return ENV.engine.runKernel(function (a) {
+      return a.matMul(e, t, n, r);
+    }, { a: e, b: t }, function (a) {
+      return n || r ? !n && r ? { a: function () {
+          return a.matMul(t.toFloat(), !1, !1);
+        }, b: function () {
+          return a.matMul(e.toFloat(), !0, !1);
+        } } : n && !r ? { a: function () {
+          return t.toFloat().matMul(a, !1, !0);
+        }, b: function () {
+          return e.toFloat().matMul(a, !1, !1);
+        } } : { a: function () {
+          return t.toFloat().matMul(a, !0, !0);
+        }, b: function () {
+          return a.matMul(e.toFloat(), !0, !0);
+        } } : { a: function () {
+          return a.matMul(t.toFloat(), !1, !0);
+        }, b: function () {
+          return e.toFloat().matMul(a, !0, !1);
+        } };
+    });
+  }, e.vectorTimesMatrix = function (e, t) {
+    return assert(1 === e.rank, "Error in vectorTimesMatrix: first input must be rank 1, but got rank " + e.rank + "."), assert(2 === t.rank, "Error in vectorTimesMatrix: second input must be rank 2, but got rank " + t.rank + "."), assert(e.size === t.shape[0], "Error in vectorTimesMatrix: size of vector (" + e.size + ") must match first dimension of matrix (" + t.shape[0] + ")"), e.as2D(1, -1).matMul(t).as1D();
+  }, e.matrixTimesVector = function (e, t) {
+    return assert(1 === t.rank, "Error in matrixTimesVector: second input must rank 1, but got rank " + t.rank + "."), assert(2 === e.rank, "Error in matrixTimesVector: first input must be a rank 2, but got rank " + e.rank + "."), assert(t.size === e.shape[1], "Error in matrixTimesVector: size of first rank 1 input " + t.size + " must match inner dimension of second rank 2 input, but got shape " + e.shape + "."), e.matMul(t.as2D(-1, 1)).as1D();
+  }, e.dotProduct = function (e, t) {
+    return assert(1 === e.rank && 1 === t.rank, "Error in dotProduct: inputs must be rank 1, but got ranks " + e.rank + " and " + t.rank + "."), assert(e.size === t.size, "Error in dotProduct: size of inputs (" + e.size + ") and (" + t.size + ") must match."), e.as2D(1, -1).matMul(t.as2D(-1, 1)).asScalar();
+  }, e.outerProduct = function (e, t) {
+    return assert(1 === e.rank && 1 === t.rank, "Error in outerProduct: inputs must be rank 1, but got ranks " + e.rank + " and " + t.rank + "."), e.as2D(-1, 1).matMul(t.as2D(1, -1));
+  }, e.dot = function (e, t) {
+    assert(!(1 !== e.rank && 2 !== e.rank || 1 !== t.rank && 2 !== t.rank), "Error in dot: inputs must all be rank 1 or 2, but got ranks " + e.rank + " and " + t.rank + ".");var n = 1 === e.rank ? e.size : e.shape[1],
+        r = 1 === t.rank ? t.size : t.shape[0];return assert(n === r, "Error in dot: inner dimensions of inputs must match, but got " + n + " and " + r + "."), 1 === e.rank && 1 === t.rank ? e.as2D(1, -1).matMul(t.as2D(-1, 1)).asScalar() : 1 === e.rank && 2 === t.rank ? e.as2D(1, -1).matMul(t.as2D(t.shape[0], t.shape[1])).as1D() : 2 === e.rank && 1 === t.rank ? e.matMul(t.as2D(-1, 1)).as1D() : e.matMul(t.as2D(t.shape[0], t.shape[1]));
+  }, __decorate([doc({ heading: "Operations", subheading: "Matrices" }), operation], e, "matMul", null), __decorate([operation], e, "vectorTimesMatrix", null), __decorate([operation], e, "matrixTimesVector", null), __decorate([operation], e, "dotProduct", null), __decorate([doc({ heading: "Operations", subheading: "Matrices" }), operation], e, "outerProduct", null), __decorate([doc({ heading: "Operations", subheading: "Matrices" }), operation], e, "dot", null), e;
+}(),
+    MovingAverageOps = function () {
+  function e() {}return e.movingAverage = function (e, t, n, r, a) {
+    void 0 === a && (a = !0), assertArgumentsAreTensors({ v: e, x: t }, "movingAverage"), assertTypesMatch(e, t), assert(arraysEqual(e.shape, t.shape), "Shape mismatch in v and x");var o = ArrayOps.scalar(1);n = "number" == typeof n ? ArrayOps.scalar(n) : n;var i = o.sub(n),
+        s = t.sub(e).mul(i);return a && (assert(null != r, "When using zeroDebias: true, step is required."), r = "number" == typeof r ? ArrayOps.scalar(r) : r, s = s.div(o.sub(BinaryOps.pow(n, r)))), e.add(s);
+  }, __decorate([doc({ heading: "Operations", subheading: "Moving Average" }), operation], e, "movingAverage", null), e;
+}(),
+    NormOps = function () {
+  function e() {}return e.norm = function (e, t, n, r) {
+    void 0 === t && (t = "euclidean"), void 0 === n && (n = null), void 0 === r && (r = !1), assertArgumentsAreTensors({ x: e }, "norm");var a = normImpl(e, t, n),
+        o = a.shape;if (r) {
+      var i = parseAxisParam(n, e.shape);o = expandShapeToKeepDim(a.shape, i);
+    }return a.reshape(o);
+  }, __decorate([doc({ heading: "Operations", subheading: "Matrices" }), operation], e, "norm", null), e;
+}();function normImpl(e, t, n) {
+  if (void 0 === n && (n = null), 0 === e.rank) return e.abs();if (1 !== e.rank && null === n) return normImpl(e.reshape([-1]), t, n);if (1 === e.rank || "number" == typeof n || n instanceof Array && 1 === n.length) {
+    if (1 === t) return e.abs().sum(n);if (t === 1 / 0) return e.abs().max(n);if (t === -1 / 0) return e.abs().min(n);if ("euclidean" === t || 2 === t) return e.abs().pow(scalar(2, "int32")).sum(n).sqrt();throw new Error("Error in norm: invalid ord value: " + t);
+  }if (n instanceof Array && 2 === n.length) {
+    if (1 === t) return e.abs().sum(n[0]).max(n[1] - 1);if (t === 1 / 0) return e.abs().sum(n[1]).max(n[0]);if (t === -1 / 0) return e.abs().sum(n[1]).min(n[0]);if ("fro" === t || "euclidean" === t) return e.square().sum(n).sqrt();throw new Error("Error in norm: invalid ord value: " + t);
+  }throw new Error("Error in norm: invalid axis: " + n);
+}var PoolOps = function () {
+  function e() {}return e.maxPool = function (t, n, r, a, o) {
+    assertArgumentsAreTensors({ x: t }, "maxPool");var i = t,
+        s = !1;3 === t.rank && (s = !0, i = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, "Error in maxPool: input must be rank 4 but got rank " + i.rank + "."), null != o && assert(isInt(a), "Error in maxPool: pad must be an integer when using, dimRoundingMode " + o + " but got pad " + a + ".");var u = computePool2DInfo(i.shape, n, r, a, o),
+        l = ENV.engine.runKernel(function (e, t) {
+      return t(e.maxPool(i, u));
+    }, { x: i }, function (t, o) {
+      var s = o[0];return { x: function () {
+          return e.maxPoolBackprop(t, i, s, n, r, a);
+        } };
+    });return s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;
+  }, e.maxPoolBackprop = function (e, t, n, r, a, o, i) {
+    assertArgumentsAreTensors({ dy: e, input: t, output: n }, "maxPoolBackprop"), assert(t.rank === e.rank, "Rank of input (" + t.rank + ") does not match rank of dy (" + e.rank + ")"), assert(4 === e.rank, "Error in maxPoolBackprop: dy must be rank 4 but got rank " + e.rank + "."), assert(4 === t.rank, "Error in maxPoolBackprop: input must be rank 4 but got rank " + t.rank + "."), null != i && assert(isInt(o), "Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode " + i + " but got pad " + o + ".");var s = computePool2DInfo(t.shape, r, a, o, i);return ENV.engine.runKernel(function (r) {
+      return r.maxPoolBackprop(e, t, n, s);
+    }, { dy: e, input: t });
+  }, e.avgPool = function (t, n, r, a, o) {
+    assertArgumentsAreTensors({ x: t }, "avgPool"), assert("float32" === t.dtype, "The input dtype to avgPool must be float32");var i = t,
+        s = !1;3 === t.rank && (s = !0, i = t.as4D(1, t.shape[0], t.shape[1], t.shape[2])), assert(4 === i.rank, "Error in avgPool: x must be rank 4 but got rank " + i.rank + "."), null != o && assert(isInt(a), "Error in avgPool: pad must be an integer when using, dimRoundingMode " + o + " but got pad " + a + ".");var u = computePool2DInfo(i.shape, n, r, a),
+        l = ENV.engine.runKernel(function (e) {
+      return e.avgPool(i, u);
+    }, { x: i }, function (t) {
+      return { x: function () {
+          return e.avgPoolBackprop(t, i, n, r, a);
+        } };
+    });return l = l.cast(t.dtype), s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;
+  }, e.avgPoolBackprop = function (e, t, n, r, a) {
+    assertArgumentsAreTensors({ dy: e, input: t }, "avgPoolBackprop"), assert(t.rank === e.rank, "Rank of input (" + t.rank + ") does not match rank of dy (" + e.rank + ")");var o = t,
+        i = e,
+        s = !1;3 === t.rank && (s = !0, o = t.as4D(1, t.shape[0], t.shape[1], t.shape[2]), i = e.as4D(1, e.shape[0], e.shape[1], e.shape[2])), assert(4 === i.rank, "Error in avgPoolBackprop: dy must be rank 4 but got rank " + i.rank + "."), assert(4 === o.rank, "Error in avgPoolBackprop: input must be rank 4 but got rank " + o.rank + ".");var u = computePool2DInfo(o.shape, n, r, a),
+        l = ENV.engine.runKernel(function (e) {
+      return e.avgPoolBackprop(i, o, u);
+    }, { dy4D: i, input4D: o });return s ? l.as3D(l.shape[1], l.shape[2], l.shape[3]) : l;
+  }, __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "maxPool", null), __decorate([operation], e, "maxPoolBackprop", null), __decorate([doc({ heading: "Operations", subheading: "Convolution" }), operation], e, "avgPool", null), __decorate([operation], e, "avgPoolBackprop", null), e;
+}(),
+    ReductionOps = function () {
+  function e() {}return e.logSumExp = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "logSumExp");var r = parseAxisParam(t, e.shape),
+        a = e.max(r, !0),
+        o = e.sub(a).exp().sum(r).log(),
+        i = a.reshape(o.shape).add(o);if (n) {
+      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);
+    }return i;
+  }, e.sum = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "sum"), "bool" === e.dtype && (e = e.toInt());var r = parseAxisParam(t, e.shape);return customGrad(function (e) {
+      var t = getAxesPermutation(r, e.rank),
+          a = r,
+          o = e;null != t && (o = e.transpose(t), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (e) {
+        return e.sum(o, a);
+      }, { permutedX: o });if (n) {
+        var s = expandShapeToKeepDim(i.shape, r);i = i.reshape(s);
+      }return { value: i, gradFunc: function (t) {
+          var n = e.shape.slice();return r.forEach(function (e) {
+            n[e] = 1;
+          }), t.reshape(n).mul(ones(e.shape, "float32"));
+        } };
+    })(e);
+  }, e.mean = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "mean");var r = parseAxisParam(t, e.shape),
+        a = sizeFromShape(computeOutAndReduceShapes(e.shape, r)[1]);return customGrad(function (e) {
+      var o = scalar(a);return { value: (o.dtype === e.dtype ? e : e.cast(o.dtype)).div(o).sum(t, n), gradFunc: function (t) {
+          var n = e.shape.slice();return r.forEach(function (e) {
+            n[e] = 1;
+          }), t.reshape(n).mul(ones(e.shape, "float32")).div(o);
+        } };
+    })(e);
+  }, e.min = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "min");var r = parseAxisParam(t, e.shape),
+        a = r,
+        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {
+      return t.min(e, a);
+    }, { x: e });if (n) {
+      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);
+    }return i;
+  }, e.max = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "max");var r = parseAxisParam(t, e.shape),
+        a = r,
+        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {
+      return t.max(e, a);
+    }, { x: e });if (n) {
+      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);
+    }return i;
+  }, e.argMin = function (e, t) {
+    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, "argMin"), null == t && (t = 0);var n = parseAxisParam(t, e.shape),
+        r = getAxesPermutation(n, e.rank);return null != r && (e = e.transpose(r), n = getInnerMostAxes(n.length, e.rank)), ENV.engine.runKernel(function (t) {
+      return t.argMin(e, n[0]);
+    }, { x: e });
+  }, e.argMax = function (e, t) {
+    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, "argMax"), null == t && (t = 0);var n = parseAxisParam(t, e.shape),
+        r = getAxesPermutation(n, e.rank);return null != r && (e = e.transpose(r), n = getInnerMostAxes(n.length, e.rank)), ENV.engine.runKernel(function (t) {
+      return t.argMax(e, n[0]);
+    }, { x: e });
+  }, e.all = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "all"), assert("bool" === e.dtype, "Error Array must be of type bool.");var r = parseAxisParam(t, e.shape),
+        a = r,
+        o = getAxesPermutation(a, e.rank);null != o && (e = e.transpose(o), a = getInnerMostAxes(a.length, e.rank));var i = ENV.engine.runKernel(function (t) {
+      return t.all(e, a);
+    }, { x: e });if (n) {
+      var s = expandShapeToKeepDim(i.shape, r);return i.reshape(s);
+    }return i;
+  }, e.moments = function (e, t, n) {
+    void 0 === t && (t = null), void 0 === n && (n = !1), assertArgumentsAreTensors({ x: e }, "moments");var r = parseAxisParam(t, e.shape),
+        a = e.mean(r, n),
+        o = a.shape;return n || (o = expandShapeToKeepDim(a.shape, r)), { mean: a, variance: e.toFloat().sub(a.reshape(o)).square().mean(r, n) };
+  }, __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "logSumExp", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "sum", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "mean", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "min", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "max", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "argMin", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "argMax", null), __decorate([doc({ heading: "Operations", subheading: "Reduction" }), operation], e, "all", null), __decorate([doc({ heading: "Operations", subheading: "Normalization" }), operation], e, "moments", null), e;
+}(),
+    ReverseOps = function () {
+  function e() {}return e.reverse1d = function (t) {
+    return assert(1 === t.rank, "Error in reverse1D: x must be rank 1 but got\n             rank " + t.rank + "."), e.reverse(t, 0);
+  }, e.reverse2d = function (t, n) {
+    return assert(2 === t.rank, "Error in reverse2D: x must be rank 2 but got\n             rank " + t.rank + "."), e.reverse(t, n);
+  }, e.reverse3d = function (t, n) {
+    return assert(3 === t.rank, "Error in reverse3D: x must be rank 3 but got\n             rank " + t.rank + "."), e.reverse(t, n);
+  }, e.reverse4d = function (t, n) {
+    return assert(4 === t.rank, "Error in reverse4D: x must be rank 4 but got\n             rank " + t.rank + "."), e.reverse(t, n);
+  }, e.reverse = function (e, t) {
+    if (assertArgumentsAreTensors({ x: e }, "reverse"), 0 === e.rank) return e.clone();var n = parseAxisParam(t, e.shape);return ENV.engine.runKernel(function (t) {
+      return t.reverse(e, n);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return e.reverse(n);
+        } };
+    }).reshapeAs(e);
+  }, __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "reverse", null), e;
+}(),
+    SigmoidCrossEntropyOps = function () {
+  function e() {}return e.sigmoidCrossEntropyWithLogits = function (e, t) {
+    assertArgumentsAreTensors({ labels: e, logits: t }, "sigmoidCrossEntropyWithLogits"), assertShapesMatch(e.shape, t.shape, "Error in sigmoidCrossEntropyWithLogits: ");var n = t.relu(),
+        r = t.mul(e),
+        a = t.abs().neg().exp().log1p();return n.sub(r).add(a);
+  }, __decorate([doc({ heading: "Operations", subheading: "Cross Entropy" }), operation], e, "sigmoidCrossEntropyWithLogits", null), e;
+}();function assertParamsValid(e, t, n) {
+  assert(e.rank === t.length, "Error in slice" + e.rank + "D: Length of begin " + t + " must match the rank of the array (" + e.rank + ")."), assert(e.rank === n.length, "Error in slice" + e.rank + "D: Length of size " + n + " must match the rank of the array (" + e.rank + ").");for (var r = 0; r < e.rank; ++r) assert(t[r] + n[r] <= e.shape[r], "Error in slice" + e.rank + "D: begin[" + r + "] + size[" + r + "] (" + (t[r] + n[r]) + ") would overflow input.shape[" + r + "] (" + e.shape[r] + ")");
+}function getStridedSlicedInfo(e, t, n, r, a, o) {
+  void 0 === a && (a = 0), void 0 === o && (o = 0);for (var i = [], s = [], u = 0; u < e.length; u++) i[u] = startForAxis(a, t, r, e, u), s[u] = stopForAxis(o, n, r, e, u);var l = new Array(e.length).fill(0);return l = l.map(function (e, t) {
+    for (var n = 0, a = i[t]; !(r[t] > 0 ? a >= s[t] : a <= s[t]); a += r[t]) n += 1;return n;
+  }), [i, l];
+}function startForAxis(e, t, n, r, a) {
+  var o = t[a];e & 1 << a && (o = n[a] > 0 ? Number.MIN_SAFE_INTEGER : Number.MAX_SAFE_INTEGER);var i = r[a];return o < 0 && (o += i), o = clamp(0, o, i - 1);
+}function stopForAxis(e, t, n, r, a) {
+  var o = t[a];e & 1 << a && (o = n[a] > 0 ? Number.MAX_SAFE_INTEGER : Number.MIN_SAFE_INTEGER);var i = r[a];return o < 0 && (o += i), o = n[a] > 0 ? clamp(0, o, i) : clamp(-1, o, i - 1);
+}var SliceOps = function () {
+  function e() {}return e.slice1d = function (t, n, r) {
+    return assert(1 === t.rank, "slice1d expects a rank-1 tensor, but got a rank-" + t.rank + " tensor"), e.slice(t, [n], [r]);
+  }, e.slice2d = function (t, n, r) {
+    return assert(2 === t.rank, "slice1d expects a rank-2 tensor, but got a rank-" + t.rank + " tensor"), e.slice(t, n, r);
+  }, e.slice3d = function (t, n, r) {
+    return assert(3 === t.rank, "slice1d expects a rank-3 tensor, but got a rank-" + t.rank + " tensor"), e.slice(t, n, r);
+  }, e.slice4d = function (t, n, r) {
+    return assert(4 === t.rank, "slice1d expects a rank-4 tensor, but got a rank-" + t.rank + " tensor"), e.slice(t, n, r);
+  }, e.slice = function (e, t, n) {
+    if (assertArgumentsAreTensors({ x: e }, "slice"), 0 === e.rank) throw new Error("Slicing scalar is not possible");var r, a;r = "number" == typeof t ? [t].concat(new Array(e.rank - 1).fill(0)) : t.length < e.rank ? t.concat(new Array(e.rank - t.length).fill(0)) : t, a = (a = null == n ? new Array(e.rank).fill(-1) : "number" == typeof n ? [n].concat(new Array(e.rank - 1).fill(-1)) : n.length < e.rank ? n.concat(new Array(e.rank - n.length).fill(-1)) : n).map(function (t, n) {
+      return t >= 0 ? t : (assert(-1 === t, "Bad value in size"), e.shape[n] - r[n]);
+    }), assertParamsValid(e, r, a);var o = e.shape;return ENV.engine.runKernel(function (t) {
+      return t.slice(e, r, a);
+    }, { x: e }, function (e) {
+      for (var t = [], n = 0; n < e.rank; n++) t.push([r[n], o[n] - r[n] - a[n]]);return { x: function () {
+          return e.pad(t);
+        } };
+    });
+  }, __decorate([doc({ heading: "Tensors", subheading: "Slicing and Joining" }), operation], e, "slice", null), e;
+}(),
+    SoftmaxOps = function () {
+  function e() {}return e.softmax = function (e, t) {
+    if (void 0 === t && (t = -1), assertArgumentsAreTensors({ logits: e }, "softmax"), -1 === t && (t = e.rank - 1), t !== e.rank - 1) throw Error("Softmax along a non-last dimension is not yet supported. Logits was rank " + e.rank + " and dim was " + t);return customGrad(function (e) {
+      var n = e.logSumExp([t], !0),
+          r = e.toFloat().sub(n).exp();return { value: r, gradFunc: function (e) {
+          var n = e.mul(r);return n.sub(n.sum([t], !0).mul(r));
+        } };
+    })(e);
+  }, e.softmaxCrossEntropy = function (e, t, n) {
+    if (void 0 === n && (n = -1), assertArgumentsAreTensors({ labels: e, logits: t }, "softmaxCrossEntropy"), assertShapesMatch(e.shape, t.shape, "Error in softmaxCrossEntropy: "), -1 === n && (n = t.rank - 1), n !== t.rank - 1) throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank " + t.rank + " and dim was " + n);return customGrad(function (e, t) {
+      var r = t.softmax(n);return { value: scalar(1e-5).add(r).log().mul(e).neg().sum([n]), gradFunc: function (t) {
+          var a = expandShapeToKeepDim(t.shape, [n]);return [t.reshape(a).mul(e.toFloat().sub(r)), t.reshape(a).mul(r.sub(e.toFloat()))];
+        } };
+    })(e, t);
+  }, __decorate([doc({ heading: "Operations", subheading: "Normalization" }), operation], e, "softmax", null), __decorate([doc({ heading: "Training", subheading: "Losses", namespace: "losses" }), operation], e, "softmaxCrossEntropy", null), e;
+}(),
+    StridedSliceOps = function () {
+  function e() {}return e.stridedSlice = function (e, t, n, r, a, o) {
+    return void 0 === a && (a = 0), void 0 === o && (o = 0), assertArgumentsAreTensors({ x: e }, "stridedSlice"), ENV.engine.runKernel(function (i) {
+      return i.stridedSlice(e, t, n, r, a, o);
+    }, { x: e });
+  }, __decorate([doc({ heading: "Operations", subheading: "Slicing and Joining" }), operation], e, "stridedSlice", null), e;
+}(),
+    TransposeOps = function () {
+  function e() {}return e.transpose = function (e, t) {
+    if (assertArgumentsAreTensors({ x: e }, "transpose"), null == t && (t = e.shape.map(function (e, t) {
+      return t;
+    }).reverse()), assert(e.rank === t.length, "Error in transpose: rank of input " + e.rank + " must match length of perm " + t + "."), t.forEach(function (n) {
+      assert(n >= 0 && n < e.rank, "All entries in 'perm' must be between 0 and " + (e.rank - 1) + " but got " + t);
+    }), e.rank <= 1) return e.clone();return ENV.engine.runKernel(function (n) {
+      return n.transpose(e, t);
+    }, { x: e }, function (e) {
+      var n = getUndoAxesPermutation(t);return { x: function () {
+          return e.transpose(n);
+        } };
+    });
+  }, __decorate([doc({ heading: "Operations", subheading: "Matrices" }), operation], e, "transpose", null), e;
+}(),
+    SELU_SCALEALPHA = 1.7580993408473768,
+    SELU_SCALE = 1.0507009873554805,
+    UnaryOps = function () {
+  function e() {}return e.neg = function (e) {
+    assertArgumentsAreTensors({ x: e }, "neg");return ENV.engine.runKernel(function (t) {
+      return t.neg(e);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return e.neg();
+        } };
+    });
+  }, e.ceil = function (e) {
+    assertArgumentsAreTensors({ x: e }, "ceil");return ENV.engine.runKernel(function (t) {
+      return t.ceil(e);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return zerosLike(e);
+        } };
+    });
+  }, e.floor = function (e) {
+    assertArgumentsAreTensors({ x: e }, "floor");return ENV.engine.runKernel(function (t) {
+      return t.floor(e);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return zerosLike(e);
+        } };
+    });
+  }, e.sign = function (e) {
+    assertArgumentsAreTensors({ x: e }, "sign");return ENV.engine.runKernel(function (t) {
+      return t.sign(e);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return zerosLike(e);
+        } };
+    });
+  }, e.round = function (e) {
+    assertArgumentsAreTensors({ x: e }, "round");return ENV.engine.runKernel(function (t) {
+      return t.round(e);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return zerosLike(e);
+        } };
+    });
+  }, e.exp = function (e) {
+    assertArgumentsAreTensors({ x: e }, "exp");return ENV.engine.runKernel(function (t, n) {
+      return n(t.exp(e));
+    }, { x: e }, function (e, t) {
+      var n = t[0];return { x: function () {
+          return e.mulStrict(n);
+        } };
+    });
+  }, e.expm1 = function (e) {
+    assertArgumentsAreTensors({ x: e }, "expm1");return ENV.engine.runKernel(function (t) {
+      return t.expm1(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(e.exp());
+        } };
+    });
+  }, e.log = function (e) {
+    assertArgumentsAreTensors({ x: e }, "log");return ENV.engine.runKernel(function (t) {
+      return t.log(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.toFloat());
+        } };
+    });
+  }, e.log1p = function (e) {
+    assertArgumentsAreTensors({ x: e }, "log1p");return ENV.engine.runKernel(function (t) {
+      return t.log1p(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.add(scalar(1)));
+        } };
+    });
+  }, e.sqrt = function (e) {
+    assertArgumentsAreTensors({ x: e }, "sqrt");return ENV.engine.runKernel(function (t) {
+      return t.sqrt(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.toFloat().sqrt().mul(scalar(2)));
+        } };
+    });
+  }, e.rsqrt = function (e) {
+    assertArgumentsAreTensors({ x: e }, "rsqrt");return ENV.engine.runKernel(function (t) {
+      return t.rsqrt(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.pow(scalar(1.5)).mul(scalar(2))).neg();
+        } };
+    });
+  }, e.square = function (e) {
+    assertArgumentsAreTensors({ x: e }, "square");return ENV.engine.runKernel(function (t) {
+      return t.square(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(e.toFloat().mul(scalar(2)));
+        } };
+    });
+  }, e.reciprocal = function (e) {
+    assertArgumentsAreTensors({ x: e }, "reciprocal");return ENV.engine.runKernel(function (t) {
+      return t.reciprocal(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.square().neg());
+        } };
+    });
+  }, e.abs = function (e) {
+    assertArgumentsAreTensors({ x: e }, "abs");return ENV.engine.runKernel(function (t) {
+      return t.abs(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(e.toFloat().step(-1));
+        } };
+    });
+  }, e.clipByValue = function (e, t, n) {
+    assertArgumentsAreTensors({ x: e }, "clipByValue"), assert(t <= n, "Error in clip: min (" + t + ") must be less than or equal to max (" + n + ").");return ENV.engine.runKernel(function (r) {
+      return r.clip(e, t, n);
+    }, { x: e }, function (r) {
+      return { x: function () {
+          return r.where(e.greaterEqual(scalar(t)).logicalAnd(e.lessEqual(scalar(n))), zerosLike(r));
+        } };
+    });
+  }, e.relu = function (e) {
+    if (assertArgumentsAreTensors({ x: e }, "relu"), "bool" === e.dtype) return e.toInt();return ENV.engine.runKernel(function (t) {
+      return t.relu(e);
+    }, { x: e }, function (t) {
+      var n = e.step();return { x: function () {
+          return t.mulStrict(n.toFloat());
+        } };
+    });
+  }, e.elu = function (e) {
+    assertArgumentsAreTensors({ x: e }, "elu");return ENV.engine.runKernel(function (t, n) {
+      return n(t.elu(e));
+    }, { x: e }, function (e, t) {
+      var n = t[0];return { x: function () {
+          return ENV.engine.runKernel(function (t) {
+            return t.eluDer(e, n);
+          }, { dy: e, y: n });
+        } };
+    });
+  }, e.selu = function (e) {
+    assertArgumentsAreTensors({ x: e }, "selu");return ENV.engine.runKernel(function (t) {
+      return t.selu(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          var n = e.greater(scalar(0)),
+              r = scalar(SELU_SCALEALPHA),
+              a = scalar(SELU_SCALE),
+              o = t.mul(a),
+              i = t.mul(r).mul(e.toFloat().exp());return where(n, o, i);
+        } };
+    });
+  }, e.leakyRelu = function (e, t) {
+    return void 0 === t && (t = .2), assertArgumentsAreTensors({ x: e }, "leakyRelu"), maximum(scalar(t).mul(e), e);
+  }, e.prelu = function (e, t) {
+    assertArgumentsAreTensors({ x: e, alpha: t }, "prelu");var n = scalar(0);return maximum(n, e).add(t.mul(minimum(n, e)));
+  }, e.sigmoid = function (e) {
+    assertArgumentsAreTensors({ x: e }, "sigmoid");return ENV.engine.runKernel(function (t, n) {
+      return n(t.sigmoid(e));
+    }, { x: e }, function (e, t) {
+      var n = t[0];return { x: function () {
+          return e.mulStrict(n.mul(scalar(1).sub(n)));
+        } };
+    });
+  }, e.logSigmoid = function (e) {
+    assertArgumentsAreTensors({ x: e }, "logSigmoid");return ENV.engine.runKernel(function (t) {
+      return t.softplus(e.neg()).neg();
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(e.neg().sigmoid());
+        } };
+    });
+  }, e.softplus = function (e) {
+    assertArgumentsAreTensors({ x: e }, "softplus");return ENV.engine.runKernel(function (t) {
+      return t.softplus(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(e.sigmoid());
+        } };
+    });
+  }, e.sin = function (e) {
+    assertArgumentsAreTensors({ x: e }, "sin");return ENV.engine.runKernel(function (t) {
+      return t.sin(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return e.toFloat().cos().mulStrict(t);
+        } };
+    });
+  }, e.cos = function (e) {
+    assertArgumentsAreTensors({ x: e }, "cos");return ENV.engine.runKernel(function (t) {
+      return t.cos(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return e.toFloat().sin().neg().mulStrict(t);
+        } };
+    });
+  }, e.tan = function (e) {
+    assertArgumentsAreTensors({ x: e }, "tan");return ENV.engine.runKernel(function (t) {
+      return t.tan(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(e.cos().square());
+        } };
+    });
+  }, e.asin = function (t) {
+    assertArgumentsAreTensors({ x: t }, "asin");return ENV.engine.runKernel(function (e) {
+      return e.asin(t);
+    }, { x: t }, function (n) {
+      return { x: function () {
+          return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square())));
+        } };
+    });
+  }, e.acos = function (t) {
+    assertArgumentsAreTensors({ x: t }, "acos");return ENV.engine.runKernel(function (e) {
+      return e.acos(t);
+    }, { x: t }, function (n) {
+      return { x: function () {
+          return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square()))).neg();
+        } };
+    });
+  }, e.atan = function (e) {
+    assertArgumentsAreTensors({ x: e }, "atan");return ENV.engine.runKernel(function (t) {
+      return t.atan(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(scalar(1).add(e.toFloat().square()));
+        } };
+    });
+  }, e.sinh = function (e) {
+    assertArgumentsAreTensors({ x: e }, "sinh");return ENV.engine.runKernel(function (t) {
+      return t.sinh(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return e.toFloat().cosh().mulStrict(t);
+        } };
+    });
+  }, e.cosh = function (e) {
+    assertArgumentsAreTensors({ x: e }, "cosh");return ENV.engine.runKernel(function (t) {
+      return t.cosh(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return e.toFloat().sinh().mulStrict(t);
+        } };
+    });
+  }, e.tanh = function (e) {
+    assertArgumentsAreTensors({ x: e }, "tanh");return ENV.engine.runKernel(function (t, n) {
+      return n(t.tanh(e));
+    }, { x: e }, function (e, t) {
+      var n = t[0];return { x: function () {
+          return scalar(1).sub(n.square()).mulStrict(e);
+        } };
+    });
+  }, e.asinh = function (t) {
+    assertArgumentsAreTensors({ x: t }, "asinh");return ENV.engine.runKernel(function (e) {
+      return e.asinh(t);
+    }, { x: t }, function (n) {
+      return { x: function () {
+          return n.divStrict(e.sqrt(scalar(1).add(t.toFloat().square())));
+        } };
+    });
+  }, e.acosh = function (t) {
+    assertArgumentsAreTensors({ x: t }, "acosh");return ENV.engine.runKernel(function (e) {
+      return e.acosh(t);
+    }, { x: t }, function (n) {
+      return { x: function () {
+          return n.divStrict(e.sqrt(t.toFloat().square().sub(scalar(1))));
+        } };
+    });
+  }, e.atanh = function (e) {
+    assertArgumentsAreTensors({ x: e }, "atanh");return ENV.engine.runKernel(function (t) {
+      return t.atanh(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.divStrict(scalar(1).sub(e.toFloat().square()));
+        } };
+    });
+  }, e.erf = function (e) {
+    assert("int32" === e.dtype || "float32" === e.dtype, "Input dtype must be `int32` or `float32`."), "int32" === e.dtype && (e = e.toFloat());return ENV.engine.runKernel(function (t) {
+      return t.erf(e);
+    }, { x: e }, function (t) {
+      return { x: function () {
+          return t.mulStrict(scalar(2 / Math.sqrt(Math.PI)).mul(e.square().neg().exp()));
+        } };
+    });
+  }, e.step = function (e, t) {
+    void 0 === t && (t = 0), assertArgumentsAreTensors({ x: e }, "step");return ENV.engine.runKernel(function (n) {
+      return n.step(e, t);
+    }, { x: e }, function (e) {
+      return { x: function () {
+          return zerosLike(e);
+        } };
+    });
+  }, __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "neg", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "ceil", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "floor", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "sign", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "round", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "exp", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "expm1", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "log", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "log1p", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "sqrt", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "rsqrt", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "square", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "reciprocal", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "abs", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "clipByValue", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "relu", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "elu", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "selu", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "leakyRelu", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "prelu", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "sigmoid", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "logSigmoid", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "softplus", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "sin", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "cos", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "tan", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "asin", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "acos", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "atan", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "sinh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "cosh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "tanh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "asinh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "acosh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "atanh", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "erf", null), __decorate([doc({ heading: "Operations", subheading: "Basic math" }), operation], e, "step", null), e;
+}(),
+    batchNormalization = BatchNormOps.batchNormalization,
+    batchNormalization2d = BatchNormOps.batchNormalization2d,
+    batchNormalization3d = BatchNormOps.batchNormalization3d,
+    batchNormalization4d = BatchNormOps.batchNormalization4d,
+    concat = ConcatOps.concat,
+    concat1d = ConcatOps.concat1d,
+    concat2d = ConcatOps.concat2d,
+    concat3d = ConcatOps.concat3d,
+    concat4d = ConcatOps.concat4d,
+    conv1d = ConvOps.conv1d,
+    conv2d = ConvOps.conv2d,
+    conv2dTranspose = ConvOps.conv2dTranspose,
+    depthwiseConv2d = ConvOps.depthwiseConv2d,
+    separableConv2d = ConvOps.separableConv2d,
+    matMul = MatmulOps.matMul,
+    matrixTimesVector = MatmulOps.matrixTimesVector,
+    outerProduct = MatmulOps.outerProduct,
+    vectorTimesMatrix = MatmulOps.vectorTimesMatrix,
+    dot = MatmulOps.dot,
+    avgPool = PoolOps.avgPool,
+    maxPool = PoolOps.maxPool,
+    transpose = TransposeOps.transpose,
+    reverse = ReverseOps.reverse,
+    reverse1d = ReverseOps.reverse1d,
+    reverse2d = ReverseOps.reverse2d,
+    reverse3d = ReverseOps.reverse3d,
+    reverse4d = ReverseOps.reverse4d,
+    slice = SliceOps.slice,
+    slice1d = SliceOps.slice1d,
+    slice2d = SliceOps.slice2d,
+    slice3d = SliceOps.slice3d,
+    slice4d = SliceOps.slice4d,
+    stridedSlice = StridedSliceOps.stridedSlice,
+    argMax = ReductionOps.argMax,
+    argMin = ReductionOps.argMin,
+    logSumExp = ReductionOps.logSumExp,
+    max = ReductionOps.max,
+    mean = ReductionOps.mean,
+    min = ReductionOps.min,
+    all = ReductionOps.all,
+    moments = ReductionOps.moments,
+    sum = ReductionOps.sum,
+    unsortedSegmentSum = SegmentOps.unsortedSegmentSum,
+    equal = CompareOps.equal,
+    equalStrict = CompareOps.equalStrict,
+    greater = CompareOps.greater,
+    greaterStrict = CompareOps.greaterStrict,
+    greaterEqual = CompareOps.greaterEqual,
+    greaterEqualStrict = CompareOps.greaterEqualStrict,
+    less = CompareOps.less,
+    lessStrict = CompareOps.lessStrict,
+    lessEqual = CompareOps.lessEqual,
+    lessEqualStrict = CompareOps.lessEqualStrict,
+    notEqual = CompareOps.notEqual,
+    notEqualStrict = CompareOps.notEqualStrict,
+    logicalNot = LogicalOps.logicalNot,
+    logicalAnd = LogicalOps.logicalAnd,
+    logicalOr = LogicalOps.logicalOr,
+    logicalXor = LogicalOps.logicalXor,
+    where = LogicalOps.where,
+    abs = UnaryOps.abs,
+    acos = UnaryOps.acos,
+    acosh = UnaryOps.acosh,
+    asin = UnaryOps.asin,
+    asinh = UnaryOps.asinh,
+    atan = UnaryOps.atan,
+    atanh = UnaryOps.atanh,
+    ceil = UnaryOps.ceil,
+    clipByValue = UnaryOps.clipByValue,
+    cos = UnaryOps.cos,
+    cosh = UnaryOps.cosh,
+    elu = UnaryOps.elu,
+    exp = UnaryOps.exp,
+    expm1 = UnaryOps.expm1,
+    floor = UnaryOps.floor,
+    sign = UnaryOps.sign,
+    leakyRelu = UnaryOps.leakyRelu,
+    log = UnaryOps.log,
+    log1p = UnaryOps.log1p,
+    logSigmoid = UnaryOps.logSigmoid,
+    neg = UnaryOps.neg,
+    prelu = UnaryOps.prelu,
+    relu = UnaryOps.relu,
+    reciprocal = UnaryOps.reciprocal,
+    round = UnaryOps.round,
+    selu = UnaryOps.selu,
+    sigmoid = UnaryOps.sigmoid,
+    sin = UnaryOps.sin,
+    sinh = UnaryOps.sinh,
+    softplus = UnaryOps.softplus,
+    sqrt = UnaryOps.sqrt,
+    rsqrt = UnaryOps.rsqrt,
+    square = UnaryOps.square,
+    step = UnaryOps.step,
+    tan = UnaryOps.tan,
+    tanh$1 = UnaryOps.tanh,
+    erf = UnaryOps.erf,
+    add = BinaryOps.add,
+    addStrict = BinaryOps.addStrict,
+    atan2 = BinaryOps.atan2,
+    div = BinaryOps.div,
+    floorDiv = BinaryOps.floorDiv,
+    divStrict = BinaryOps.divStrict,
+    maximum = BinaryOps.maximum,
+    maximumStrict = BinaryOps.maximumStrict,
+    minimum = BinaryOps.minimum,
+    minimumStrict = BinaryOps.minimumStrict,
+    mod = BinaryOps.mod,
+    modStrict = BinaryOps.modStrict,
+    mul = BinaryOps.mul,
+    mulStrict = BinaryOps.mulStrict,
+    pow = BinaryOps.pow,
+    powStrict = BinaryOps.powStrict,
+    sub = BinaryOps.sub,
+    subStrict = BinaryOps.subStrict,
+    squaredDifference = BinaryOps.squaredDifference,
+    squaredDifferenceStrict = BinaryOps.squaredDifferenceStrict,
+    norm = NormOps.norm,
+    cast = ArrayOps.cast,
+    clone = ArrayOps.clone,
+    fromPixels = ArrayOps.fromPixels,
+    toPixels = ArrayOps.toPixels,
+    ones = ArrayOps.ones,
+    onesLike = ArrayOps.onesLike,
+    zeros = ArrayOps.zeros,
+    zerosLike = ArrayOps.zerosLike,
+    eye = ArrayOps.eye,
+    rand = ArrayOps.rand,
+    randomNormal = ArrayOps.randomNormal,
+    truncatedNormal = ArrayOps.truncatedNormal,
+    randomUniform = ArrayOps.randomUniform,
+    multinomial = ArrayOps.multinomial,
+    reshape = ArrayOps.reshape,
+    squeeze = ArrayOps.squeeze,
+    tile = ArrayOps.tile,
+    gather = ArrayOps.gather,
+    oneHot = ArrayOps.oneHot,
+    linspace = ArrayOps.linspace,
+    range = ArrayOps.range,
+    buffer = ArrayOps.buffer,
+    fill = ArrayOps.fill,
+    tensor = ArrayOps.tensor,
+    scalar = ArrayOps.scalar,
+    tensor1d = ArrayOps.tensor1d,
+    tensor2d = ArrayOps.tensor2d,
+    tensor3d = ArrayOps.tensor3d,
+    tensor4d = ArrayOps.tensor4d,
+    tensor5d = ArrayOps.tensor5d,
+    tensor6d = ArrayOps.tensor6d,
+    print = ArrayOps.print,
+    expandDims = ArrayOps.expandDims,
+    stack = ArrayOps.stack,
+    unstack = ArrayOps.unstack,
+    split = ArrayOps.split,
+    cumsum = ArrayOps.cumsum,
+    pad = ArrayOps.pad,
+    pad1d = ArrayOps.pad1d,
+    pad2d = ArrayOps.pad2d,
+    pad3d = ArrayOps.pad3d,
+    pad4d = ArrayOps.pad4d,
+    movingAverage = MovingAverageOps.movingAverage,
+    basicLSTMCell = LSTMOps.basicLSTMCell,
+    multiRNNCell = LSTMOps.multiRNNCell,
+    softmax = SoftmaxOps.softmax,
+    sigmoidCrossEntropyWithLogits = SigmoidCrossEntropyOps.sigmoidCrossEntropyWithLogits,
+    localResponseNormalization = LRNOps.localResponseNormalization,
+    linalg = LinalgOps,
+    losses = { absoluteDifference: LossOps.absoluteDifference, computeWeightedLoss: LossOps.computeWeightedLoss, cosineDistance: LossOps.cosineDistance, hingeLoss: LossOps.hingeLoss, huberLoss: LossOps.huberLoss, logLoss: LossOps.logLoss, meanSquaredError: LossOps.meanSquaredError, softmaxCrossEntropy: SoftmaxOps.softmaxCrossEntropy },
+    image = { resizeBilinear: ImageOps.resizeBilinear, resizeNearestNeighbor: ImageOps.resizeNearestNeighbor },
+    TensorBuffer = function () {
+  function e(e, t, n) {
+    if (this.dtype = t, null != n) {
+      var r = n.length,
+          a = sizeFromShape(e);assert(r === a, "Length of values '" + r + "' does not match the size inferred by the shape '" + a + "'");
+    }this.shape = e.slice(), this.values = n || getTypedArrayFromDType(t, sizeFromShape(e)), this.strides = computeStrides(e), this.size = sizeFromShape(e);
+  }return e.prototype.set = function (e) {
+    for (var t = [], n = 1; n < arguments.length; n++) t[n - 1] = arguments[n];0 === t.length && (t = [0]), assert(t.length === this.rank, "The number of provided coordinates (" + t.length + ") must match the rank (" + this.rank + ")");var r = this.locToIndex(t);this.values[r] = e;
+  }, e.prototype.get = function () {
+    for (var e = [], t = 0; t < arguments.length; t++) e[t] = arguments[t];0 === e.length && (e = [0]);for (var n = e[e.length - 1], r = 0; r < e.length - 1; ++r) n += this.strides[r] * e[r];return this.values[n];
+  }, e.prototype.locToIndex = function (e) {
+    if (0 === this.rank) return 0;if (1 === this.rank) return e[0];for (var t = e[e.length - 1], n = 0; n < e.length - 1; ++n) t += this.strides[n] * e[n];return t;
+  }, e.prototype.indexToLoc = function (e) {
+    if (0 === this.rank) return [];if (1 === this.rank) return [e];for (var t = new Array(this.shape.length), n = 0; n < t.length - 1; ++n) t[n] = Math.floor(e / this.strides[n]), e -= t[n] * this.strides[n];return t[t.length - 1] = e, t;
+  }, Object.defineProperty(e.prototype, "rank", { get: function () {
+      return this.shape.length;
+    }, enumerable: !0, configurable: !0 }), e.prototype.toTensor = function () {
+    return Tensor.make(this.shape, { values: this.values }, this.dtype);
+  }, __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e.prototype, "set", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e.prototype, "get", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], e.prototype, "toTensor", null), e = __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e);
+}(),
+    Tensor = function () {
+  function e(e, n, r, a) {
+    this.isDisposedInternal = !1, this.size = sizeFromShape(e), null != r && assert(this.size === r.length, "Constructing tensor of shape (" + this.size + ") should match the length of values (" + r.length + ")"), this.shape = e.slice(), this.dtype = n || "float32", this.strides = computeStrides(e), this.dataId = null != a ? a : {}, this.id = t.nextId++, this.rankType = this.rank < 5 ? this.rank.toString() : "higher", ENV.engine.registerTensor(this), null != r && ENV.engine.write(this.dataId, r);
+  }return t = e, e.make = function (e, n, r) {
+    return new t(e, r, n.values, n.dataId);
+  }, e.prototype.flatten = function () {
+    return this.throwIfDisposed(), this.as1D();
+  }, e.prototype.asScalar = function () {
+    return this.throwIfDisposed(), assert(1 === this.size, "The array must have only 1 element."), this.reshape([]);
+  }, e.prototype.as1D = function () {
+    return this.throwIfDisposed(), this.reshape([this.size]);
+  }, e.prototype.as2D = function (e, t) {
+    return this.throwIfDisposed(), this.reshape([e, t]);
+  }, e.prototype.as3D = function (e, t, n) {
+    return this.throwIfDisposed(), this.reshape([e, t, n]);
+  }, e.prototype.as4D = function (e, t, n, r) {
+    return this.throwIfDisposed(), this.reshape([e, t, n, r]);
+  }, e.prototype.asType = function (e) {
+    return this.throwIfDisposed(), cast(this, e);
+  }, Object.defineProperty(e.prototype, "rank", { get: function () {
+      return this.shape.length;
+    }, enumerable: !0, configurable: !0 }), e.prototype.get = function () {
+    for (var e = [], t = 0; t < arguments.length; t++) e[t] = arguments[t];assert(e.length === this.rank, "Number of coordinates in get() must match the rank of the tensor"), this.throwIfDisposed(), 0 === e.length && (e = [0]);for (var n = e[e.length - 1], r = 0; r < e.length - 1; ++r) n += this.strides[r] * e[r];return this.dataSync()[n];
+  }, e.prototype.buffer = function () {
+    return buffer(this.shape, this.dtype, this.dataSync());
+  }, e.prototype.data = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return this.throwIfDisposed(), [2, ENV.engine.read(this.dataId)];
+      });
+    });
+  }, e.prototype.dataSync = function () {
+    return this.throwIfDisposed(), ENV.engine.readSync(this.dataId);
+  }, e.prototype.dispose = function () {
+    this.isDisposed || (ENV.engine.disposeTensor(this), this.isDisposedInternal = !0);
+  }, Object.defineProperty(e.prototype, "isDisposed", { get: function () {
+      return this.isDisposedInternal;
+    }, enumerable: !0, configurable: !0 }), e.prototype.throwIfDisposed = function () {
+    if (this.isDisposed) throw new Error("Tensor is disposed.");
+  }, e.prototype.toFloat = function () {
+    return this.asType("float32");
+  }, e.prototype.toInt = function () {
+    return this.asType("int32");
+  }, e.prototype.toBool = function () {
+    return this.asType("bool");
+  }, e.prototype.print = function (e) {
+    return void 0 === e && (e = !1), print(this, e);
+  }, e.prototype.reshape = function (e) {
+    return this.throwIfDisposed(), reshape(this, e);
+  }, e.prototype.reshapeAs = function (e) {
+    return this.throwIfDisposed(), this.reshape(e.shape);
+  }, e.prototype.expandDims = function (e) {
+    return void 0 === e && (e = 0), expandDims(this, e);
+  }, e.prototype.cumsum = function (e, t, n) {
+    return void 0 === e && (e = 0), void 0 === t && (t = !1), void 0 === n && (n = !1), cumsum(this, e, t, n);
+  }, e.prototype.squeeze = function (e) {
+    return this.throwIfDisposed(), squeeze(this, e);
+  }, e.prototype.clone = function () {
+    return this.throwIfDisposed(), clone(this);
+  }, e.prototype.toString = function (e) {
+    return void 0 === e && (e = !1), tensorToString(this, e);
+  }, e.prototype.tile = function (e) {
+    return this.throwIfDisposed(), tile(this, e);
+  }, e.prototype.gather = function (e, t) {
+    return void 0 === t && (t = 0), this.throwIfDisposed(), gather(this, e, t);
+  }, e.prototype.matMul = function (e, t, n) {
+    return void 0 === t && (t = !1), void 0 === n && (n = !1), this.throwIfDisposed(), matMul(this, e, t, n);
+  }, e.prototype.dot = function (e) {
+    return this.throwIfDisposed(), dot(this, e);
+  }, e.prototype.norm = function (e, t, n) {
+    return void 0 === e && (e = "euclidean"), void 0 === t && (t = null), void 0 === n && (n = !1), this.throwIfDisposed(), norm(this, e, t, n);
+  }, e.prototype.slice = function (e, t) {
+    return this.throwIfDisposed(), slice(this, e, t);
+  }, e.prototype.reverse = function (e) {
+    return this.throwIfDisposed(), reverse(this, e);
+  }, e.prototype.concat = function (e, t) {
+    return void 0 === t && (t = 0), this.throwIfDisposed(), concat([this, e], t);
+  }, e.prototype.stack = function (e, t) {
+    return void 0 === t && (t = 0), stack([this, e], t);
+  }, e.prototype.unstack = function (e, t) {
+    return void 0 === t && (t = 0), unstack(this, t);
+  }, e.prototype.pad = function (e, t) {
+    return void 0 === t && (t = 0), pad(this, e, t);
+  }, e.prototype.batchNormalization = function (e, t, n, r, a) {
+    return void 0 === n && (n = .001), this.throwIfDisposed(), batchNormalization(this, e, t, n, r, a);
+  }, e.prototype.all = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), all(this, e, t);
+  }, e.prototype.logSumExp = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), logSumExp(this, e, t);
+  }, e.prototype.sum = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), sum(this, e, t);
+  }, e.prototype.mean = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), mean(this, e, t);
+  }, e.prototype.min = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), min(this, e, t);
+  }, e.prototype.max = function (e, t) {
+    return void 0 === e && (e = null), void 0 === t && (t = !1), this.throwIfDisposed(), max(this, e, t);
+  }, e.prototype.argMin = function (e) {
+    return void 0 === e && (e = null), this.throwIfDisposed(), argMin(this, e);
+  }, e.prototype.argMax = function (e) {
+    return void 0 === e && (e = null), this.throwIfDisposed(), argMax(this, e);
+  }, e.prototype.cast = function (e) {
+    return this.throwIfDisposed(), cast(this, e);
+  }, e.prototype.add = function (e) {
+    return this.throwIfDisposed(), add(this, e);
+  }, e.prototype.addStrict = function (e) {
+    return this.throwIfDisposed(), addStrict(this, e);
+  }, e.prototype.sub = function (e) {
+    return this.throwIfDisposed(), sub(this, e);
+  }, e.prototype.subStrict = function (e) {
+    return this.throwIfDisposed(), subStrict(this, e);
+  }, e.prototype.pow = function (e) {
+    return this.throwIfDisposed(), pow(this, e);
+  }, e.prototype.powStrict = function (e) {
+    return this.throwIfDisposed(), powStrict(this, e);
+  }, e.prototype.mul = function (e) {
+    return this.throwIfDisposed(), mul(this, e);
+  }, e.prototype.mulStrict = function (e) {
+    return this.throwIfDisposed(), mulStrict(this, e);
+  }, e.prototype.div = function (e) {
+    return this.throwIfDisposed(), div(this, e);
+  }, e.prototype.floorDiv = function (e) {
+    return this.throwIfDisposed(), floorDiv(this, e);
+  }, e.prototype.divStrict = function (e) {
+    return this.throwIfDisposed(), divStrict(this, e);
+  }, e.prototype.minimum = function (e) {
+    return this.throwIfDisposed(), minimum(this, e);
+  }, e.prototype.minimumStrict = function (e) {
+    return this.throwIfDisposed(), minimumStrict(this, e);
+  }, e.prototype.maximum = function (e) {
+    return this.throwIfDisposed(), maximum(this, e);
+  }, e.prototype.maximumStrict = function (e) {
+    return this.throwIfDisposed(), maximumStrict(this, e);
+  }, e.prototype.mod = function (e) {
+    return this.throwIfDisposed(), mod(this, e);
+  }, e.prototype.modStrict = function (e) {
+    return this.throwIfDisposed(), modStrict(this, e);
+  }, e.prototype.squaredDifference = function (e) {
+    return this.throwIfDisposed(), squaredDifference(this, e);
+  }, e.prototype.squaredDifferenceStrict = function (e) {
+    return this.throwIfDisposed(), squaredDifferenceStrict(this, e);
+  }, e.prototype.transpose = function (e) {
+    return this.throwIfDisposed(), transpose(this, e);
+  }, e.prototype.notEqual = function (e) {
+    return this.throwIfDisposed(), notEqual(this, e);
+  }, e.prototype.notEqualStrict = function (e) {
+    return this.throwIfDisposed(), notEqualStrict(this, e);
+  }, e.prototype.less = function (e) {
+    return this.throwIfDisposed(), less(this, e);
+  }, e.prototype.lessStrict = function (e) {
+    return this.throwIfDisposed(), lessStrict(this, e);
+  }, e.prototype.equal = function (e) {
+    return this.throwIfDisposed(), equal(this, e);
+  }, e.prototype.equalStrict = function (e) {
+    return this.throwIfDisposed(), equalStrict(this, e);
+  }, e.prototype.lessEqual = function (e) {
+    return this.throwIfDisposed(), lessEqual(this, e);
+  }, e.prototype.lessEqualStrict = function (e) {
+    return this.throwIfDisposed(), lessEqualStrict(this, e);
+  }, e.prototype.greater = function (e) {
+    return this.throwIfDisposed(), greater(this, e);
+  }, e.prototype.greaterStrict = function (e) {
+    return this.throwIfDisposed(), greaterStrict(this, e);
+  }, e.prototype.greaterEqual = function (e) {
+    return this.throwIfDisposed(), greaterEqual(this, e);
+  }, e.prototype.greaterEqualStrict = function (e) {
+    return this.throwIfDisposed(), greaterEqualStrict(this, e);
+  }, e.prototype.logicalAnd = function (e) {
+    return this.throwIfDisposed(), logicalAnd(this, e);
+  }, e.prototype.logicalOr = function (e) {
+    return this.throwIfDisposed(), logicalOr(this, e);
+  }, e.prototype.logicalNot = function () {
+    return this.throwIfDisposed(), logicalNot(this);
+  }, e.prototype.logicalXor = function (e) {
+    return this.throwIfDisposed(), logicalXor(this, e);
+  }, e.prototype.where = function (e, t) {
+    return this.throwIfDisposed(), where(e, this, t);
+  }, e.prototype.neg = function () {
+    return this.throwIfDisposed(), neg(this);
+  }, e.prototype.ceil = function () {
+    return this.throwIfDisposed(), ceil(this);
+  }, e.prototype.floor = function () {
+    return this.throwIfDisposed(), floor(this);
+  }, e.prototype.sign = function () {
+    return this.throwIfDisposed(), sign(this);
+  }, e.prototype.exp = function () {
+    return this.throwIfDisposed(), exp(this);
+  }, e.prototype.expm1 = function () {
+    return this.throwIfDisposed(), expm1(this);
+  }, e.prototype.log = function () {
+    return this.throwIfDisposed(), log(this);
+  }, e.prototype.log1p = function () {
+    return this.throwIfDisposed(), log1p(this);
+  }, e.prototype.sqrt = function () {
+    return this.throwIfDisposed(), sqrt(this);
+  }, e.prototype.rsqrt = function () {
+    return this.throwIfDisposed(), rsqrt(this);
+  }, e.prototype.square = function () {
+    return this.throwIfDisposed(), square(this);
+  }, e.prototype.reciprocal = function () {
+    return this.throwIfDisposed(), reciprocal(this);
+  }, e.prototype.abs = function () {
+    return this.throwIfDisposed(), abs(this);
+  }, e.prototype.clipByValue = function (e, t) {
+    return this.throwIfDisposed(), clipByValue(this, e, t);
+  }, e.prototype.relu = function () {
+    return this.throwIfDisposed(), relu(this);
+  }, e.prototype.elu = function () {
+    return this.throwIfDisposed(), elu(this);
+  }, e.prototype.selu = function () {
+    return this.throwIfDisposed(), selu(this);
+  }, e.prototype.leakyRelu = function (e) {
+    return void 0 === e && (e = .2), this.throwIfDisposed(), leakyRelu(this, e);
+  }, e.prototype.prelu = function (e) {
+    return this.throwIfDisposed(), prelu(this, e);
+  }, e.prototype.sigmoid = function () {
+    return this.throwIfDisposed(), sigmoid(this);
+  }, e.prototype.logSigmoid = function () {
+    return this.throwIfDisposed(), logSigmoid(this);
+  }, e.prototype.softplus = function () {
+    return this.throwIfDisposed(), softplus(this);
+  }, e.prototype.sin = function () {
+    return this.throwIfDisposed(), sin(this);
+  }, e.prototype.cos = function () {
+    return this.throwIfDisposed(), cos(this);
+  }, e.prototype.tan = function () {
+    return this.throwIfDisposed(), tan(this);
+  }, e.prototype.asin = function () {
+    return this.throwIfDisposed(), asin(this);
+  }, e.prototype.acos = function () {
+    return this.throwIfDisposed(), acos(this);
+  }, e.prototype.atan = function () {
+    return this.throwIfDisposed(), atan(this);
+  }, e.prototype.sinh = function () {
+    return this.throwIfDisposed(), sinh(this);
+  }, e.prototype.cosh = function () {
+    return this.throwIfDisposed(), cosh(this);
+  }, e.prototype.tanh = function () {
+    return this.throwIfDisposed(), tanh$1(this);
+  }, e.prototype.asinh = function () {
+    return this.throwIfDisposed(), asinh(this);
+  }, e.prototype.acosh = function () {
+    return this.throwIfDisposed(), acosh(this);
+  }, e.prototype.atanh = function () {
+    return this.throwIfDisposed(), atanh(this);
+  }, e.prototype.erf = function () {
+    return this.throwIfDisposed(), erf(this);
+  }, e.prototype.round = function () {
+    return this.throwIfDisposed(), round(this);
+  }, e.prototype.step = function (e) {
+    return void 0 === e && (e = 0), this.throwIfDisposed(), step(this, e);
+  }, e.prototype.softmax = function (e) {
+    return void 0 === e && (e = -1), this.throwIfDisposed(), softmax(this, e);
+  }, e.prototype.resizeBilinear = function (e, t) {
+    return void 0 === t && (t = !1), this.throwIfDisposed(), image.resizeBilinear(this, e, t);
+  }, e.prototype.resizeNearestNeighbor = function (e, t) {
+    return void 0 === t && (t = !1), this.throwIfDisposed(), image.resizeNearestNeighbor(this, e, t);
+  }, e.prototype.conv1d = function (e, t, n, r, a, o) {
+    return void 0 === r && (r = "NWC"), void 0 === a && (a = 1), this.throwIfDisposed(), conv1d(this, e, t, n, r, a, o);
+  }, e.prototype.conv2d = function (e, t, n, r, a, o) {
+    return void 0 === r && (r = "NHWC"), void 0 === a && (a = [1, 1]), this.throwIfDisposed(), conv2d(this, e, t, n, r, a, o);
+  }, e.prototype.conv2dTranspose = function (e, t, n, r, a) {
+    return this.throwIfDisposed(), conv2dTranspose(this, e, t, n, r, a);
+  }, e.prototype.depthwiseConv2D = function (e, t, n, r, a, o) {
+    return void 0 === r && (r = "NHWC"), void 0 === a && (a = [1, 1]), this.throwIfDisposed(), depthwiseConv2d(this, e, t, n, r, a, o);
+  }, e.prototype.avgPool = function (e, t, n, r) {
+    return this.throwIfDisposed(), avgPool(this, e, t, n, r);
+  }, e.prototype.maxPool = function (e, t, n, r) {
+    return this.throwIfDisposed(), maxPool(this, e, t, n, r);
+  }, e.prototype.localResponseNormalization = function (e, t, n, r) {
+    return void 0 === e && (e = 5), void 0 === t && (t = 1), void 0 === n && (n = 1), void 0 === r && (r = .5), localResponseNormalization(this, e, t, n, r);
+  }, e.prototype.variable = function (e, t, n) {
+    return void 0 === e && (e = !0), this.throwIfDisposed(), Variable.variable(this, e, t, n);
+  }, e.prototype.unsortedSegmentSum = function (e, t) {
+    return this.throwIfDisposed(), unsortedSegmentSum(this, e, t);
+  }, e.nextId = 0, __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "flatten", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "asScalar", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "as1D", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "as2D", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "as3D", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "as4D", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "asType", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "buffer", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "data", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "dataSync", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "dispose", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "toFloat", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "toInt", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "toBool", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "print", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "reshape", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "reshapeAs", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "expandDims", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "cumsum", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "squeeze", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "clone", null), __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e.prototype, "toString", null), e = t = __decorate([doc({ heading: "Tensors", subheading: "Classes" })], e);var t;
+}(),
+    Variable = function (e) {
+  function t(t, r, a) {
+    void 0 === r && (r = !0);var o = e.call(this, t.shape, t.dtype, null, t.dataId) || this;return o.trainable = r, o.name = a, null == o.name && (o.name = n.nextVarId.toString(), n.nextVarId++), ENV.engine.registerVariable(o), o;
+  }return __extends(t, e), n = t, t.variable = function (e, t, r, a) {
+    return void 0 === t && (t = !0), null != a && a !== e.dtype && (e = e.asType(a)), new n(e, t, r);
+  }, t.prototype.assign = function (e) {
+    if (e.dtype !== this.dtype) throw new Error("dtype of the new value (" + e.dtype + ") and previous value (" + this.dtype + ") must match");if (!arraysEqual(e.shape, this.shape)) throw new Error("shape of the new value (" + e.shape + ") and previous value (" + this.shape + ") must match");ENV.engine.disposeTensor(this), this.dataId = e.dataId, ENV.engine.registerTensor(this);
+  }, t.nextVarId = 0, __decorate([doc({ heading: "Tensors", subheading: "Classes" })], t.prototype, "assign", null), __decorate([doc({ heading: "Tensors", subheading: "Creation" })], t, "variable", null), t = n = __decorate([doc({ heading: "Tensors", subheading: "Classes" })], t);var n;
+}(Tensor),
+    variable = Variable.variable;function computeStrides(e) {
+  var t = e.length;if (t < 2) return [];var n = new Array(t - 1);n[t - 2] = e[t - 1];for (var r = t - 3; r >= 0; --r) n[r] = n[r + 1] * e[r + 1];return n;
+}var Gradients = function () {
+  function e() {}return e.gradScope = function (e, t) {
+    return tidy(e, t, !0);
+  }, e.grad = function (e) {
+    return assert(isFunction(e), "The f passed in grad(f) must be a function"), function (t, n) {
+      return assert(t instanceof Tensor, "The x passed in grad(f)(x) must be a tensor"), assert(null == n || n instanceof Tensor, "The dy passed in grad(f)(x, dy) must be a tensor"), tidy(function () {
+        var r = ENV.engine.gradients(function () {
+          return e(t);
+        }, [t], n),
+            a = r.value,
+            o = r.grads;return null != n && assertShapesMatch(a.shape, n.shape, "The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"), checkGrads(o), o[0];
+      });
+    };
+  }, e.grads = function (e) {
+    return assert(isFunction(e), "The f passed in grads(f) must be a function"), function (t, n) {
+      return assert(Array.isArray(t) && t.every(function (e) {
+        return e instanceof Tensor;
+      }), "The args passed in grads(f)(args) must be an array of tensors"), assert(null == n || n instanceof Tensor, "The dy passed in grads(f)(args, dy) must be a tensor"), tidy(function () {
+        var r = ENV.engine.gradients(function () {
+          return e.apply(void 0, t);
+        }, t, n),
+            a = r.value,
+            o = r.grads;return null != n && assertShapesMatch(a.shape, n.shape, "The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), checkGrads(o), o;
+      });
+    };
+  }, e.valueAndGrad = function (e) {
+    return assert(isFunction(e), "The f passed in valueAndGrad(f) must be a function"), function (t, n) {
+      assert(t instanceof Tensor, "The x passed in valueAndGrad(f)(x) must be a tensor"), assert(null == n || n instanceof Tensor, "The dy passed in valueAndGrad(f)(x, dy) must be a tensor");var r = ENV.engine.gradients(function () {
+        return e(t);
+      }, [t], n),
+          a = r.grads,
+          o = r.value;return checkGrads(a), { grad: a[0], value: o };
+    };
+  }, e.valueAndGrads = function (e) {
+    return assert(isFunction(e), "The f passed in valueAndGrads(f) must be a function"), function (t, n) {
+      assert(Array.isArray(t) && t.every(function (e) {
+        return e instanceof Tensor;
+      }), "The args passed in valueAndGrads(f)(args) must be array of tensors"), assert(null == n || n instanceof Tensor, "The dy passed in valueAndGrads(f)(args, dy) must be a tensor");var r = ENV.engine.gradients(function () {
+        return e.apply(void 0, t);
+      }, t, n);return null != n && assertShapesMatch(r.value.shape, n.shape, "The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"), checkGrads(r.grads), r;
+    };
+  }, e.variableGrads = function (e, t) {
+    if (assert(isFunction(e), "The f passed in variableGrads(f) must be a function"), assert(null == t || Array.isArray(t) && t.every(function (e) {
+      return e instanceof Variable;
+    }), "The varList passed in variableGrads(f, varList) must be an array of variables"), null == t) for (var n in t = [], ENV.engine.registeredVariables) t.push(ENV.engine.registeredVariables[n]);var r = t.length;assert((t = t.filter(function (e) {
+      return e.trainable;
+    })).length > 0, "variableGrads() expects at least one of the input variables to be trainable, but none of the " + r + " variables is trainable.");var a = ENV.engine.gradients(e, t, null, !0),
+        o = a.value,
+        i = a.grads;assert(i.some(function (e) {
+      return null != e;
+    }), "Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."), assert(0 === o.rank, "The f passed in variableGrads(f) must return a scalar, but it returned a rank-" + o.rank + " tensor");var s = {};return t.forEach(function (e, t) {
+      null != i[t] && (s[e.name] = i[t]);
+    }), { value: o, grads: s };
+  }, e.customGrad = function (e) {
+    return ENV.engine.customGrad(e);
+  }, __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "grad", null), __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "grads", null), __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "valueAndGrad", null), __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "valueAndGrads", null), __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "variableGrads", null), __decorate([doc({ heading: "Training", subheading: "Gradients" })], e, "customGrad", null), e;
+}();function checkGrads(e) {
+  if (e.filter(function (e) {
+    return null == e;
+  }).length > 0) throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.");
+}var tidy = Tracking.tidy,
+    keep = Tracking.keep,
+    dispose = Tracking.dispose,
+    time = Tracking.time,
+    grad = Gradients.grad,
+    valueAndGrad = Gradients.valueAndGrad,
+    grads = Gradients.grads,
+    valueAndGrads = Gradients.valueAndGrads,
+    variableGrads = Gradients.variableGrads,
+    customGrad = Gradients.customGrad,
+    Profiler = function () {
+  function e(e, t) {
+    this.backendTimer = e, this.logger = t, null == t && (this.logger = new Logger());
+  }return e.prototype.profileKernel = function (e, t) {
+    var n,
+        r = this,
+        a = this.backendTimer.time(function () {
+      n = t();
+    }),
+        o = n.dataSync();return checkForNaN(o, n.dtype, e), a.then(function (t) {
+      r.logger.logKernelProfile(e, n, o, t.kernelMs);
+    }), n;
+  }, e;
+}(),
+    Logger = function () {
+  function e() {}return e.prototype.logKernelProfile = function (e, t, n, r) {
+    var a = rightPad(r + "ms", 9),
+        o = rightPad(e, 25),
+        i = t.rank,
+        s = t.size,
+        u = rightPad(t.shape.toString(), 14);console.log("%c" + o + "\t%c" + a + "\t%c" + i + "D " + u + "\t%c" + s, "font-weight:bold", "color:red", "color:blue", "color: orange");
+  }, e;
+}();function getFilteredNodesXToY(e, t, n) {
+  for (var r = {}, a = {}, o = 0; o < t.length; o++) r[t[o].id] = !0;for (o = 0; o < e.length; o++) {
+    var i = (g = e[o]).inputs;for (var s in i) {
+      for (var u = i[s], l = !1, c = 0; c < t.length; c++) if (r[u.id]) {
+        r[g.output.id] = !0, l = !0, a[g.id] = !0;break;
+      }if (l) break;
+    }
+  }var d = {};d[n.id] = !0;var p = {};for (o = e.length - 1; o >= 0; o--) {
+    i = (g = e[o]).inputs;var h = [];h.push(g.output);for (c = 0; c < h.length; c++) if (d[h[c].id]) {
+      for (var s in i) d[i[s].id] = !0, p[g.id] = !0;break;
+    }
+  }var f = [];for (o = 0; o < e.length; o++) {
+    var g;if (a[(g = e[o]).id] && p[g.id]) {
+      var m = {};for (var s in g.inputs) {
+        var v = g.inputs[s];r[v.id] && (m[s] = v);
+      }var y = Object.assign({}, g);y.inputs = m, y.output = g.output, f.push(y);
+    }
+  }return f;
+}function backpropagateGradients(e, t) {
+  for (var n = t.length - 1; n >= 0; n--) {
+    var r = t[n],
+        a = e[r.output.id];if (null == r.gradient) throw new Error("Cannot compute gradient: gradient function not found for " + r.name + ".");var o = r.gradient(a);for (var i in r.inputs) {
+      if (!(i in o)) throw new Error("Cannot backprop through input " + i + ". Available gradients found: " + Object.keys(o) + ".");var s = o[i](),
+          u = r.inputs[i];if (!arraysEqual(s.shape, u.shape)) throw new Error("Error in gradient for op " + r.name + ". The gradient of input '" + i + "' has shape '" + s.shape + "', which does not match the shape of the input '" + u.shape + "'");if (null == e[u.id]) e[u.id] = s;else {
+        var l = e[u.id];e[u.id] = l.add(s), l.dispose();
+      }
+    }
+  }
+}var Type,
+    Engine = function () {
+  function e(e, t) {
+    this.backend = e, this.safeMode = t, this.registeredVariables = {}, this.refCounter = new WeakMap(), this.nextTapeNodeId = 0, this.numBytes = 0, this.numTensors = 0, this.numDataBuffers = 0, this.gradientScopeCount = 0, this.customGradientDepth = 0, this.keepTensors = new Set(), this.activeScope = { track: [] }, this.scopeStack = [this.activeScope], this.profiler = new Profiler(e);
+  }return e.prototype.runKernel = function (e, t, n) {
+    var r,
+        a = this,
+        o = [],
+        i = function (e) {
+      return o.push(e), e;
+    },
+        s = this.activeScope.name;if (this.customGradientDepth++, r = ENV.get("DEBUG") ? this.profiler.profileKernel(s, function () {
+      return e(a.backend, i);
+    }) : e(this.backend, i), this.customGradientDepth--, this.shouldRecord()) {
+      var u = { id: this.nextTapeNodeId++, name: s, inputs: t, output: r };null != n && (u.gradient = function (e) {
+        return n(e, o);
+      }), this.activeTape.push(u);
+    }return r;
+  }, e.prototype.registerTensor = function (e) {
+    var t = this.refCounter.has(e.dataId) ? this.refCounter.get(e.dataId) : 0;this.numTensors++, 0 === t && (this.numDataBuffers++, this.numBytes += sizeFromShape(e.shape) * bytesPerElement(e.dtype), this.backend.register(e.dataId, e.shape, e.dtype)), this.refCounter.set(e.dataId, t + 1), e instanceof Variable || this.track(e);
+  }, e.prototype.registerVariable = function (e) {
+    if (null != this.registeredVariables[e.name]) throw new Error("Variable with name " + e.name + " was already registered");this.registeredVariables[e.name] = e;
+  }, e.prototype.disposeTensor = function (e) {
+    if (this.refCounter.has(e.dataId)) {
+      this.keepTensors.has(e.id) && this.keepTensors.delete(e.id), this.numTensors--;var t = this.refCounter.get(e.dataId);t <= 1 ? (this.refCounter.delete(e.dataId), this.backend.disposeData(e.dataId), this.numDataBuffers--, this.numBytes -= sizeFromShape(e.shape) * bytesPerElement(e.dtype)) : this.refCounter.set(e.dataId, t - 1);
+    }
+  }, e.prototype.disposeVariables = function () {
+    for (var e in this.registeredVariables) {
+      var t = this.registeredVariables[e];this.disposeTensor(t), delete this.registeredVariables[e];
+    }
+  }, e.prototype.memory = function () {
+    var e = this.backend.memory();return e.numTensors = this.numTensors, e.numDataBuffers = this.numDataBuffers, e.numBytes = this.numBytes, e;
+  }, e.prototype.shouldRecord = function () {
+    return null != this.activeTape && 0 === this.customGradientDepth;
+  }, e.prototype.addTapeNode = function (e, t, n) {
+    var r = {};e.forEach(function (e, t) {
+      r[t] = e;
+    });var a = { id: this.nextTapeNodeId++, name: this.activeScope.name, inputs: r, output: t, gradient: function (e) {
+        var t = {};return n(e).forEach(function (e, n) {
+          t[n] = function () {
+            return e;
+          };
+        }), t;
+      } };this.activeTape.push(a);
+  }, e.prototype.keep = function (e) {
+    if (1 === this.scopeStack.length && ENV.engine.safeMode) throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.");return this.keepTensors.add(e.id), e;
+  }, e.prototype.startScope = function (e, t) {
+    void 0 === t && (t = !1), t && 0 === this.gradientScopeCount && (this.activeTape = []), t && this.gradientScopeCount++;var n = { track: [] };e && (n.name = e), this.scopeStack.push(n), this.activeScope = n;
+  }, e.prototype.endScope = function (e, t) {
+    var n = this;void 0 === t && (t = !1), t && (this.gradientScopeCount--, 0 === this.gradientScopeCount && (this.activeTape = null));var r = new Set(this.keepTensors),
+        a = getTensorsInContainer(e);a.forEach(function (e) {
+      return r.add(e.id);
+    });for (var o = 0; o < this.activeScope.track.length; o++) {
+      var i = this.activeScope.track[o];r.has(i.id) || (null != this.activeTape ? a.push(i) : i.dispose());
+    }var s = this.scopeStack.pop();this.activeScope = 0 === this.scopeStack.length ? { track: [] } : this.scopeStack[this.scopeStack.length - 1], a.forEach(function (e) {
+      !n.keepTensors.has(e.id) && isTensorInList(e, s.track) && n.track(e);
+    });
+  }, e.prototype.gradients = function (e, t, n, r) {
+    var a = this;return void 0 === r && (r = !1), assert(t.length > 0, "gradients() received an empty list of xs."), tidy("gradients", function () {
+      var o = e();assert(o instanceof Tensor, "The result y returned by f() must be a tensor.");var i = getFilteredNodesXToY(a.activeTape, t, o);if (!r && 0 === i.length && t.length > 0) throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");var s = {};return s[o.id] = null == n ? ones(o.shape) : n, backpropagateGradients(s, i), { value: o, grads: t.map(function (e) {
+          return s[e.id];
+        }) };
+    }, !0);
+  }, e.prototype.customGrad = function (e) {
+    var t = this;return assert(isFunction(e), "The f passed in customGrad(f) must be a function."), function () {
+      for (var n, r = [], a = 0; a < arguments.length; a++) r[a] = arguments[a];assert(r.every(function (e) {
+        return e instanceof Tensor;
+      }), "The args passed in customGrad(f)(x1, x2,...) must all be tensors"), t.customGradientDepth++;var o = tidy(e.name, function () {
+        var t = e.apply(void 0, r),
+            a = t.value,
+            o = t.gradFunc;return assert(a instanceof Tensor, "The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"), assert(isFunction(o), "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."), n = o, a;
+      }, !0);if (t.customGradientDepth--, t.shouldRecord()) {
+        t.addTapeNode(r, o, function (e) {
+          var t = n(e),
+              a = Array.isArray(t) ? t : [t];return assert(a.length === r.length, "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."), assert(a.every(function (e) {
+            return e instanceof Tensor;
+          }), "The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."), a;
+        });
+      }return o;
+    };
+  }, e.prototype.write = function (e, t) {
+    this.backend.write(e, t);
+  }, e.prototype.readSync = function (e) {
+    return this.backend.readSync(e);
+  }, e.prototype.read = function (e) {
+    return this.backend.read(e);
+  }, e.prototype.fromPixels = function (e, t) {
+    return this.backend.fromPixels(e, t);
+  }, e.prototype.time = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n;return __generator(this, function (r) {
+        switch (r.label) {case 0:
+            return t = performance.now(), [4, this.backend.time(e)];case 1:
+            return (n = r.sent()).wallMs = performance.now() - t, [2, n];}
+      });
+    });
+  }, e.prototype.track = function (e) {
+    if (1 === this.scopeStack.length && this.safeMode) throw new Error("Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.");return this.activeScope.track.push(e), e;
+  }, e;
+}();!function (e) {
+  e[e.NUMBER = 0] = "NUMBER", e[e.BOOLEAN = 1] = "BOOLEAN", e[e.STRING = 2] = "STRING";
+}(Type || (Type = {}));var URL_PROPERTIES = [{ name: "DEBUG", type: Type.BOOLEAN }, { name: "IS_BROWSER", type: Type.BOOLEAN }, { name: "WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION", type: Type.NUMBER }, { name: "WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE", type: Type.BOOLEAN }, { name: "WEBGL_VERSION", type: Type.NUMBER }, { name: "WEBGL_RENDER_FLOAT32_ENABLED", type: Type.BOOLEAN }, { name: "WEBGL_DOWNLOAD_FLOAT_ENABLED", type: Type.BOOLEAN }, { name: "WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED", type: Type.BOOLEAN }, { name: "BACKEND", type: Type.STRING }],
+    TEST_EPSILON_FLOAT32_ENABLED = .001,
+    TEST_EPSILON_FLOAT32_DISABLED = .1;function hasExtension(e, t) {
+  return null != e.getExtension(t);
+}function getWebGLRenderingContext(e) {
+  if (0 === e || !ENV.get("IS_BROWSER")) throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var t = document.createElement("canvas");return 1 === e ? t.getContext("webgl") || t.getContext("experimental-webgl") : t.getContext("webgl2");
+}function loseContext(e) {
+  if (null != e) {
+    var t = e.getExtension("WEBGL_lose_context");if (null == t) throw new Error("Extension WEBGL_lose_context not supported on this browser.");t.loseContext();
+  }
+}function isWebGLVersionEnabled(e) {
+  var t;try {
+    t = getWebGLRenderingContext(e);
+  } catch (e) {
+    return !1;
+  }return null != t && (loseContext(t), !0);
+}function getWebGLDisjointQueryTimerVersion(e) {
+  if (0 === e) return 0;var t,
+      n = getWebGLRenderingContext(e);return t = hasExtension(n, "EXT_disjoint_timer_query_webgl2") && 2 === e ? 2 : hasExtension(n, "EXT_disjoint_timer_query") ? 1 : 0, null != n && loseContext(n), t;
+}function createFloatTextureAndBindToFramebuffer(e, t) {
+  var n = e.createFramebuffer(),
+      r = e.createTexture();e.bindTexture(e.TEXTURE_2D, r);var a = 2 === t ? e.RGBA32F : e.RGBA;e.texImage2D(e.TEXTURE_2D, 0, a, 1, 1, 0, e.RGBA, e.FLOAT, null), e.bindFramebuffer(e.FRAMEBUFFER, n), e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, r, 0);
+}function isRenderToFloatTextureEnabled(e) {
+  if (0 === e) return !1;var t = getWebGLRenderingContext(e);if (1 === e) {
+    if (!hasExtension(t, "OES_texture_float")) return !1;
+  } else if (!hasExtension(t, "EXT_color_buffer_float")) return !1;createFloatTextureAndBindToFramebuffer(t, e);var n = t.checkFramebufferStatus(t.FRAMEBUFFER) === t.FRAMEBUFFER_COMPLETE;return loseContext(t), n;
+}function isDownloadFloatTextureEnabled(e) {
+  if (0 === e) return !1;var t = getWebGLRenderingContext(e);if (1 === e) {
+    if (!hasExtension(t, "OES_texture_float")) return !1;
+  } else if (!hasExtension(t, "EXT_color_buffer_float")) return !1;createFloatTextureAndBindToFramebuffer(t, e), t.readPixels(0, 0, 1, 1, t.RGBA, t.FLOAT, new Float32Array(4));var n = t.getError() === t.NO_ERROR;return loseContext(t), n;
+}function isWebGLGetBufferSubDataAsyncExtensionEnabled(e) {
+  if (e > 0) return !1;if (2 !== e) return !1;var t = getWebGLRenderingContext(e),
+      n = hasExtension(t, "WEBGL_get_buffer_sub_data_async");return loseContext(t), n;
+}function isChrome() {
+  return null != navigator && null != navigator.userAgent && /Chrome/.test(navigator.userAgent) && /Google Inc/.test(navigator.vendor);
+}var Environment = function () {
+  function e(e) {
+    this.features = {}, this.registry = {}, null != e && (this.features = e), this.get("DEBUG") && console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.");
+  }return e.setBackend = function (e, t) {
+    if (void 0 === t && (t = !1), !(e in ENV.registry)) throw new Error("Backend type '" + e + "' not found in registry");ENV.initBackend(e, t);
+  }, e.getBackend = function () {
+    return ENV.initDefaultBackend(), ENV.currentBackend;
+  }, e.disposeVariables = function () {
+    ENV.engine.disposeVariables();
+  }, e.memory = function () {
+    return ENV.engine.memory();
+  }, e.prototype.get = function (e) {
+    return e in this.features ? this.features[e] : (this.features[e] = this.evaluateFeature(e), this.features[e]);
+  }, e.prototype.getFeatures = function () {
+    return this.features;
+  }, e.prototype.set = function (e, t) {
+    this.features[e] = t;
+  }, e.prototype.getBestBackendType = function () {
+    var e = this;if (0 === Object.keys(this.registry).length) throw new Error("No backend found in registry.");return Object.keys(this.registry).map(function (t) {
+      return { name: t, entry: e.registry[t] };
+    }).sort(function (e, t) {
+      return t.entry.priority - e.entry.priority;
+    })[0].name;
+  }, e.prototype.evaluateFeature = function (e) {
+    if ("DEBUG" === e) return !1;if ("IS_BROWSER" === e) return "undefined" != typeof window;if ("IS_NODE" === e) return "undefined" != typeof process && void 0 !== process.versions.node;if ("IS_CHROME" === e) return isChrome();if ("BACKEND" === e) return this.getBestBackendType();if ("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION" === e) {
+      var t = this.get("WEBGL_VERSION");return 0 === t ? 0 : getWebGLDisjointQueryTimerVersion(t);
+    }if ("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE" === e) return this.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 && !isMobile();if ("WEBGL_VERSION" === e) return isWebGLVersionEnabled(2) ? 2 : isWebGLVersionEnabled(1) ? 1 : 0;if ("WEBGL_RENDER_FLOAT32_ENABLED" === e) return isRenderToFloatTextureEnabled(this.get("WEBGL_VERSION"));if ("WEBGL_DOWNLOAD_FLOAT_ENABLED" === e) return isDownloadFloatTextureEnabled(this.get("WEBGL_VERSION"));if ("WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED" === e) return isWebGLGetBufferSubDataAsyncExtensionEnabled(this.get("WEBGL_VERSION"));if ("TEST_EPSILON" === e) return this.get("WEBGL_RENDER_FLOAT32_ENABLED") ? TEST_EPSILON_FLOAT32_ENABLED : TEST_EPSILON_FLOAT32_DISABLED;throw new Error("Unknown feature " + e + ".");
+  }, e.prototype.setFeatures = function (e) {
+    this.features = e;
+  }, e.prototype.reset = function () {
+    this.features = getFeaturesFromURL(), null != this.globalEngine && (this.globalEngine = null);
+  }, e.prototype.initBackend = function (e, t) {
+    void 0 === t && (t = !1), this.currentBackend = e;var n = ENV.findBackend(e);this.globalEngine = new Engine(n, t);
+  }, e.prototype.findBackend = function (e) {
+    return e in this.registry ? this.registry[e].backend : null;
+  }, e.prototype.registerBackend = function (e, t, n) {
+    void 0 === n && (n = 1), e in this.registry && console.warn(e + " backend was already registered");try {
+      var r = t();return this.registry[e] = { backend: r, priority: n }, !0;
+    } catch (t) {
+      return console.warn("Registration of backend " + e + " failed"), console.warn(t.stack || t.message), !1;
+    }
+  }, e.prototype.removeBackend = function (e) {
+    if (!(e in this.registry)) throw new Error(e + " backend not found in registry");this.registry[e].backend.dispose(), delete this.registry[e];
+  }, Object.defineProperty(e.prototype, "engine", { get: function () {
+      return this.initDefaultBackend(), this.globalEngine;
+    }, enumerable: !0, configurable: !0 }), e.prototype.initDefaultBackend = function () {
+    null == this.globalEngine && this.initBackend(ENV.get("BACKEND"), !1);
+  }, __decorate([doc({ heading: "Environment" })], e, "setBackend", null), __decorate([doc({ heading: "Environment" })], e, "getBackend", null), __decorate([doc({ heading: "Environment" })], e, "disposeVariables", null), __decorate([doc({ heading: "Performance", subheading: "Memory" })], e, "memory", null), e;
+}(),
+    TENSORFLOWJS_FLAGS_PREFIX = "tfjsflags";function getFeaturesFromURL() {
+  var e = {};if ("undefined" == typeof window || void 0 === window.location) return e;var t = getQueryParams(window.location.search);if (TENSORFLOWJS_FLAGS_PREFIX in t) {
+    var n = {};t[TENSORFLOWJS_FLAGS_PREFIX].split(",").forEach(function (e) {
+      var t = e.split(":"),
+          r = t[0],
+          a = t[1];n[r] = a;
+    }), URL_PROPERTIES.forEach(function (t) {
+      t.name in n && (console.log("Setting feature override from URL " + t.name + ": " + n[t.name]), t.type === Type.NUMBER ? e[t.name] = +n[t.name] : t.type === Type.BOOLEAN ? e[t.name] = "true" === n[t.name] : t.type === Type.STRING ? e[t.name] = n[t.name] : console.warn("Unknown URL param: " + t.name + "."));
+    });
+  }return e;
+}function getGlobalNamespace() {
+  var e;if ("undefined" != typeof window) e = window;else {
+    if ("undefined" == typeof global) throw new Error("Could not find a global object");e = global;
+  }return e;
+}function getOrMakeEnvironment() {
+  var e = getGlobalNamespace();return e.ENV = e.ENV || new Environment(getFeaturesFromURL()), e.ENV;
+}var ENV = getOrMakeEnvironment(),
+    environment = Object.freeze({ get Type() {
+    return Type;
+  }, URL_PROPERTIES: URL_PROPERTIES, Environment: Environment, ENV: ENV }),
+    PARALLELIZE_THRESHOLD = 30;function computeOptimalWindowSize(e) {
+  return e <= PARALLELIZE_THRESHOLD ? e : nearestDivisor(e, Math.floor(Math.sqrt(e)));
+}function segOpComputeOptimalWindowSize(e, t) {
+  var n,
+      r = !1;for (e <= PARALLELIZE_THRESHOLD ? (n = e, r = !0) : n = nearestDivisor(e, Math.floor(Math.sqrt(e))); !r;) {
+    if (n > t || n === e) {
+      r = !0;break;
+    }n = nearestDivisor(e, n + 1);
+  }return n;
+}function computeOutShape$1(e, t, n) {
+  for (var r = [], a = e.length, o = 0; o < a; o++) o !== t ? r.push(e[o]) : r.push(n);return r;
+}function castTensor(e, t, n) {
+  if (!hasEncodingLoss(e.dtype, t)) return Tensor.make(e.shape, { dataId: e.dataId }, t);if ("int32" === t) return n.int(e);if ("bool" === t) return n.notEqual(e, ArrayOps.scalar(0, e.dtype));throw new Error("Error in Cast: unknown dtype argument (" + t + ")");
+}function reshapeTensor(e, t) {
+  return Tensor.make(t, { dataId: e.dataId }, e.dtype);
+}var ArgMinMaxProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["A"];var r = e.windowSize,
+        a = e.batchSize,
+        o = e.inSize,
+        i = Math.ceil(o / r);n || this.variableNames.push("bestIndicesA"), this.outputShape = [a, i];var s = "max" === t ? ">" : "<",
+        u = n ? "inOffset + i;" : "round(getBestIndicesA(batch, inOffset + i));";this.userCode = "\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * " + r + ";\n\n        int bestIndex = 0;\n        float bestValue = getA(batch, inOffset);\n\n        for (int i = 0; i < " + r + "; i++) {\n          int inIdx = " + u + ";\n          float candidate = getA(batch, inIdx);\n          if (candidate " + s + " bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    ";
+  };
+}(),
+    AvgPool2DBackpropProgram = function () {
+  return function (e) {
+    this.variableNames = ["dy"], this.outputShape = e.inShape;var t = e.filterHeight,
+        n = e.filterWidth,
+        r = e.strideHeight,
+        a = e.strideWidth,
+        o = t - 1 - e.padInfo.top,
+        i = n - 1 - e.padInfo.left,
+        s = 1 / (t * n);this.userCode = "\n      const ivec2 pads = ivec2(" + o + ", " + i + ");\n      const float avgMultiplier = float(" + s + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < " + t + "; wR++) {\n          float dyR = float(dyRCorner + wR) / " + r + ".0;\n\n          if (dyR < 0.0 || dyR >= " + e.outHeight + ".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < " + n + "; wC++) {\n            float dyC = float(dyCCorner + wC) / " + a + ".0;\n\n            if (dyC < 0.0 || dyC >= " + e.outWidth + ".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    BatchNormProgram = function () {
+  return function (e, t, n, r, a, o) {
+    this.outputShape = [], this.supportsBroadcasting = !0, this.variableNames = ["x", "mean", "variance"], assertAndGetBroadcastShape(e, t), assertAndGetBroadcastShape(e, n);var i = "0.0";null != r && (assertAndGetBroadcastShape(e, r), this.variableNames.push("offset"), i = "getOffsetAtOutCoords()");var s = "1.0";null != a && (assertAndGetBroadcastShape(e, a), this.variableNames.push("scale"), s = "getScaleAtOutCoords()"), this.outputShape = e, this.userCode = "\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = " + i + ";\n        float scale = " + s + ";\n        float inv = scale * inversesqrt(variance + float(" + o + "));\n        setOutput((x - mean) * inv + offset);\n      }\n    ";
+  };
+}(),
+    CHECK_NAN_SNIPPET = "\n  if (isNaN(a)) return a;\n  if (isNaN(b)) return b;\n",
+    ADD = "return a + b;",
+    SUB = "return a - b;",
+    MUL = "return a * b;",
+    DIV = "return a / b;",
+    INT_DIV = "\n  float resultSign = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  int result = ia / ib;\n  int amodb = ia - ib * result;\n\n  if (resultSign < 0.0 && amodb != 0) {\n    result -= 1;\n  }\n  return float(result);\n",
+    POW = "\n  return (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",
+    SQUARED_DIFFERENCE = "return (a - b) * (a - b);",
+    EQUAL = "return float(a == b);",
+    NOT_EQUAL = "return float(a != b);",
+    LESS = "return float(a < b);",
+    LESS_EQUAL = "return float(a <= b);",
+    GREATER = "return float(a > b);",
+    GREATER_EQUAL = "return float(a >= b);",
+    LOGICAL_AND = "return float(a >= 1.0 && b >= 1.0);",
+    LOGICAL_OR = "return float(a >= 1.0 || b >= 1.0);",
+    MAX = CHECK_NAN_SNIPPET + "\n  return max(a, b);\n",
+    MIN = CHECK_NAN_SNIPPET + "\n  return min(a, b);\n",
+    MOD = "return mod(a, b);",
+    ATAN2 = CHECK_NAN_SNIPPET + "\n  return atan(a, b);\n",
+    ELU_DER = "return (b >= 1.0) ? a : a * (b + 1.0);",
+    BinaryOpProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["A", "B"], this.supportsBroadcasting = !0, this.outputShape = assertAndGetBroadcastShape(t, n), this.userCode = "\n      float binaryOperation(float a, float b) {\n        " + e + "\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    ";
+  };
+}(),
+    ClipProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["A"], this.outputShape = e;var r = t.toFixed(20),
+        a = n.toFixed(20);this.userCode = "\n      void main() {\n        float value = getAAtOutCoords();\n        if (isNaN(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, " + r + ", " + a + "));\n      }\n    ";
+  };
+}(),
+    ConcatProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["A", "B"], this.outputShape = [], this.outputShape = computeOutShape(e, t, 1), this.userCode = "\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        float value = 0.0;\n        if (yC < " + e[1] + ") {\n          value = getA(yR, yC);\n        } else {\n          yC -= " + e[1] + ";\n          value = getB(yR, yC);\n        }\n\n        setOutput(value);\n      }\n    ";
+  };
+}(),
+    Conv2DDerFilterProgram = function () {
+  return function (e) {
+    this.variableNames = ["x", "dy"], this.outputShape = e.filterShape;var t = e.strideHeight,
+        n = e.strideWidth,
+        r = e.padInfo.top,
+        a = e.padInfo.left;this.userCode = "\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < " + e.batchSize + "; b++) {\n          for (int yR = 0; yR < " + e.outHeight + "; yR++) {\n            int xR = wR + yR * " + t + " - " + r + ";\n\n            if (xR < 0 || xR >= " + e.inHeight + ") {\n              continue;\n            }\n\n            for (int yC = 0; yC < " + e.outWidth + "; yC++) {\n              int xC = wC + yC * " + n + " - " + a + ";\n\n              if (xC < 0 || xC >= " + e.inWidth + ") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    Conv2DDerInputProgram = function () {
+  return function (e) {
+    this.variableNames = ["dy", "W"], this.outputShape = e.inShape;var t = e.filterHeight,
+        n = e.filterWidth,
+        r = e.strideHeight,
+        a = e.strideWidth,
+        o = t - 1 - e.padInfo.top,
+        i = n - 1 - e.padInfo.left;this.userCode = "\n      const ivec2 pads = ivec2(" + o + ", " + i + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < " + t + "; wR++) {\n          float dyR = float(dyRCorner + wR) / " + r + ".0;\n\n          if (dyR < 0.0 || dyR >= " + e.outHeight + ".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = " + t + " - 1 - wR;\n\n          for (int wC = 0; wC < " + n + "; wC++) {\n            float dyC = float(dyCCorner + wC) / " + a + ".0;\n\n            if (dyC < 0.0 || dyC >= " + e.outWidth + ".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = " + n + " - 1 - wC;\n\n            for (int d2 = 0; d2 < " + e.outChannels + "; d2++) {\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    DepthwiseConv2DDerFilterProgram = function () {
+  return function (e) {
+    this.variableNames = ["x", "dy"], this.outputShape = e.filterShape;var t = e.strideHeight,
+        n = e.strideWidth,
+        r = e.padInfo.top,
+        a = e.padInfo.left,
+        o = e.outChannels / e.inChannels;this.userCode = "\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * " + o + " + dm;\n\n        float dotProd = 0.0;\n\n        // TODO: Vec4 over the batch size\n        for (int b = 0; b < " + e.batchSize + "; b++) {\n          for (int yR = 0; yR < " + e.outHeight + "; yR++) {\n            int xR = wR + yR * " + t + " - " + r + ";\n\n            if (xR < 0 || xR >= " + e.inHeight + ") {\n              continue;\n            }\n\n            for (int yC = 0; yC < " + e.outWidth + "; yC++) {\n              int xC = wC + yC * " + n + " - " + a + ";\n\n              if (xC < 0 || xC >= " + e.inWidth + ") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    DepthwiseConv2DDerInputProgram = function () {
+  return function (e) {
+    this.variableNames = ["dy", "W"], this.outputShape = e.inShape;var t = e.filterHeight,
+        n = e.filterWidth,
+        r = e.strideHeight,
+        a = e.strideWidth,
+        o = t - 1 - e.padInfo.top,
+        i = n - 1 - e.padInfo.left,
+        s = e.outChannels / e.inChannels;this.userCode = "\n      const ivec2 pads = ivec2(" + o + ", " + i + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < " + t + "; wR++) {\n          float dyR = float(dyRCorner + wR) / " + r + ".0;\n\n          if (dyR < 0.0 || dyR >= " + e.outHeight + ".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = " + t + " - 1 - wR;\n\n          for (int wC = 0; wC < " + n + "; wC++) {\n            float dyC = float(dyCCorner + wC) / " + a + ".0;\n\n            if (dyC < 0.0 || dyC >= " + e.outWidth + ".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = " + n + " - 1 - wC;\n\n            // TODO: Vec4 over the channelMul\n            for (int dm = 0; dm < " + s + "; dm++) {\n              int d2 = d1 * " + s + " + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    Conv2DProgram = function () {
+  return function (e) {
+    this.variableNames = ["x", "W"], this.outputShape = e.outShape;var t = e.padInfo.top,
+        n = e.padInfo.left,
+        r = e.strideHeight,
+        a = e.strideWidth,
+        o = e.dilationHeight,
+        i = e.dilationWidth,
+        s = e.filterHeight,
+        u = e.filterWidth,
+        l = 4 * Math.floor(e.inChannels / 4),
+        c = e.inChannels % 4;this.userCode = "\n      const ivec2 strides = ivec2(" + r + ", " + a + ");\n      const ivec2 pads = ivec2(" + t + ", " + n + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < " + s + "; wR++) {\n          int xR = xRCorner + wR * " + o + ";\n\n          if (xR < 0 || xR >= " + e.inHeight + ") {\n            continue;\n          }\n\n          for (int wC = 0; wC < " + u + "; wC++) {\n            int xC = xCCorner + wC * " + i + ";\n\n            if (xC < 0 || xC >= " + e.inWidth + ") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < " + l + "; d1 += 4) {\n              vec4 xValues = vec4(\n                getX(batch, xR, xC, d1),\n                getX(batch, xR, xC, d1 + 1),\n                getX(batch, xR, xC, d1 + 2),\n                getX(batch, xR, xC, d1 + 3)\n              );\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              dotProd += dot(xValues, wValues);\n            }\n\n            if (" + (1 === c) + ") {\n              dotProd +=\n                getX(batch, xR, xC, " + l + ") *\n                getW(wR, wC, " + l + ", d2);\n            } else if (" + (2 === c) + ") {\n              vec2 xValues = vec2(\n                getX(batch, xR, xC, " + l + "),\n                getX(batch, xR, xC, " + l + " + 1)\n              );\n              vec2 wValues = vec2(\n                getW(wR, wC, " + l + ", d2),\n                getW(wR, wC, " + l + " + 1, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            } else if (" + (3 === c) + ") {\n              vec3 xValues = vec3(\n                getX(batch, xR, xC, " + l + "),\n                getX(batch, xR, xC, " + l + " + 1),\n                getX(batch, xR, xC, " + l + " + 2)\n              );\n              vec3 wValues = vec3(\n                getW(wR, wC, " + l + ", d2),\n                getW(wR, wC, " + l + " + 1, d2),\n                getW(wR, wC, " + l + " + 2, d2)\n              );\n              dotProd += dot(xValues, wValues);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    DepthwiseConv2DProgram = function () {
+  return function (e) {
+    this.variableNames = ["x", "W"], this.outputShape = e.outShape;var t = e.inHeight,
+        n = e.inWidth,
+        r = e.padInfo.top,
+        a = e.padInfo.left,
+        o = e.strideHeight,
+        i = e.strideWidth,
+        s = e.dilationHeight,
+        u = e.dilationWidth,
+        l = e.filterHeight,
+        c = e.filterWidth,
+        d = e.outChannels / e.inChannels;this.userCode = "\n      const ivec2 strides = ivec2(" + o + ", " + i + ");\n      const ivec2 pads = ivec2(" + r + ", " + a + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / " + d + ";\n        int q = d2 - d1 * " + d + ";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < " + l + "; wR++) {\n          int xR = xRCorner + wR * " + s + ";\n\n          if (xR < 0 || xR >= " + t + ") {\n            continue;\n          }\n\n          for (int wC = 0; wC < " + c + "; wC++) {\n            int xC = xCCorner + wC * " + u + ";\n\n            if (xC < 0 || xC >= " + n + ") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}();function makeShader(e, t, n, r) {
+  var a = e.map(function (e) {
+    var t = sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform ? "uniform float " + e.name + (t > 1 ? "[" + t + "]" : "") + ";" : "uniform sampler2D " + e.name + ";";
+  });a = a.join("\n");var o = e.map(function (e) {
+    return getInputSamplingSnippet(e, t, r);
+  }).join("\n"),
+      i = t.texShape,
+      s = getOutputSamplingSnippet(t.logicalShape, i);return [SHADER_PREFIX, FLOAT_TEXTURE_SAMPLE_SNIPPET, FLOAT_TEXTURE_SETOUTPUT_SNIPPET, a, s, o, n].join("\n");
+}function getSamplerFromInInfo(e) {
+  var t = e.shapeInfo.logicalShape;switch (t.length) {case 0:
+      return getSamplerScalar(e);case 1:
+      return getSampler1D(e);case 2:
+      return getSampler2D(e);case 3:
+      return getSampler3D(e);case 4:
+      return getSampler4D(e);case 5:
+      return getSampler5D(e);case 6:
+      return getSampler6D(e);default:
+      throw new Error(t.length + "-D input sampling is not yet supported");}
+}function getInputSamplingSnippet(e, t, n) {
+  var r = getSamplerFlat(e);return r += getSamplerFromInInfo(e), (n || arraysEqual(e.shapeInfo.logicalShape, t.logicalShape)) && (r += getSamplerAtOutputCoords(e, t, n)), r;
+}function getOutputSamplingSnippet(e, t) {
+  switch (e.length) {case 0:
+      return getOutputScalarCoords();case 1:
+      return getOutput1DCoords(e, t);case 2:
+      return getOutput2DCoords(e, t);case 3:
+      return getOutput3DCoords(e, t);case 4:
+      return getOutput4DCoords(e, t);case 5:
+      return getOutput5DCoords(e, t);case 6:
+      return getOutput6DCoords(e, t);default:
+      throw new Error(e.length + "-D output sampling is not yet supported");}
+}var SAMPLE_1D_SNIPPET = "\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    SAMPLE_2D_SNIPPET = "\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\n  int index = row * numC + col;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    SAMPLE_3D_SNIPPET = "\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\n    int stride1, int row, int col, int depth) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    SAMPLE_4D_SNIPPET = "\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int row, int col, int depth,\n    int depth2) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    SAMPLE_5D_SNIPPET = "\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int row, int col, int depth,\n    int depth2, int depth3) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 +\n              depth * stride2 + depth2 * stride3 + depth3;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    SAMPLE_6D_SNIPPET = "\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\n    int stride1, int stride2, int stride3, int stride4,\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\n  // Explicitly use integer operations as dot() only works on floats.\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\n    stride3 + depth3 * stride4 + depth4;\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",
+    FLOAT_TEXTURE_SAMPLE_SNIPPET = "\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\n    return texture2D(textureSampler, uv).r;\n  }\n",
+    FLOAT_TEXTURE_SETOUTPUT_SNIPPET = "\n  void setOutput(float val) {\n    gl_FragColor = vec4(val, 0, 0, 0);\n  }\n",
+    SHADER_PREFIX = "\n  precision highp float;\n  precision highp int;\n  varying vec2 resultUV;\n  const vec2 halfCR = vec2(0.5, 0.5);\n\n  struct ivec5\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n  };\n\n  struct ivec6\n  {\n    int x;\n    int y;\n    int z;\n    int w;\n    int u;\n    int v;\n  };\n\n  bool isNaN(float val) {\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\n  }\n\n  bool hasNaN(vec4 values) {\n    vec4 v1 = values * values;\n    vec4 v2 = values * values;\n    return any(notEqual(v1, v2));\n  }\n\n  float getNaN(vec4 values) {\n    return dot(vec4(1), values);\n  }\n\n  int round(float value) {\n    return int(floor(value + 0.5));\n  }\n\n  int imod(int x, int y) {\n    return x - y * (x / y);\n  }\n\n  //Based on the work of Dave Hoskins\n  //https://www.shadertoy.com/view/4djSRW\n  #define HASHSCALE1 443.8975\n  float random(float seed){\n    vec2 p = resultUV * seed;\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n    p3 += dot(p3, p3.yzx + 19.19);\n    return fract((p3.x + p3.y) * p3.z);\n  }\n\n  " + SAMPLE_1D_SNIPPET + "\n  " + SAMPLE_2D_SNIPPET + "\n  " + SAMPLE_3D_SNIPPET + "\n  " + SAMPLE_4D_SNIPPET + "\n  " + SAMPLE_5D_SNIPPET + "\n  " + SAMPLE_6D_SNIPPET + "\n";function getOutputScalarCoords() {
+  return "\n    int getOutputCoords() {\n      return 0;\n    }\n  ";
+}function getOutput1DCoords(e, t) {
+  return 1 === t[0] ? "\n      int getOutputCoords() {\n        return int(resultUV.x * " + t[1] + ".0);\n      }\n    " : 1 === t[1] ? "\n      int getOutputCoords() {\n        return int(resultUV.y * " + t[0] + ".0);\n      }\n    " : "\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(" + t[0] + ", " + t[1] + "));\n      return resTexRC.x * " + t[1] + " + resTexRC.y;\n    }\n  ";
+}function getOutput3DCoords(e, t) {
+  var n = e[1] * e[2],
+      r = e[2];return "\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(" + t[0] + ", " + t[1] + "));\n      int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n      int r = index / " + n + ";\n      index -= r * " + n + ";\n      int c = index / " + r + ";\n      int d = index - c * " + r + ";\n      return ivec3(r, c, d);\n    }\n  ";
+}function getOutput4DCoords(e, t) {
+  var n = e[3],
+      r = e[2] * n,
+      a = e[1] * r;return "\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(" + t[0] + ", " + t[1] + "));\n      int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n\n      int r = index / " + a + ";\n      index -= r * " + a + ";\n\n      int c = index / " + r + ";\n      index -= c * " + r + ";\n\n      int d = index / " + n + ";\n      int d2 = index - d * " + n + ";\n\n      return ivec4(r, c, d, d2);\n    }\n  ";
+}function getOutput5DCoords(e, t) {
+  var n = e[4],
+      r = e[3] * n,
+      a = e[2] * r,
+      o = e[1] * a;return "\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(" + t[0] + ",\n                             " + t[1] + "));\n\n      int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n\n      int r = index / " + o + ";\n      index -= r * " + o + ";\n\n      int c = index / " + a + ";\n      index -= c * " + a + ";\n\n      int d = index / " + r + ";\n      index -= d * " + r + ";\n\n      int d2 = index  / " + n + ";\n      int d3 = index - d2 * " + n + ";\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  ";
+}function getOutput6DCoords(e, t) {
+  var n = e[5],
+      r = e[4] * n,
+      a = e[3] * r,
+      o = e[2] * a,
+      i = e[1] * o;return "\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(" + t[0] + ", " + t[1] + "));\n      int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n\n      int r = index / " + i + ";\n      index -= r * " + i + ";\n\n      int c = index / " + o + ";\n      index -= c * " + o + ";\n\n      int d = index / " + a + ";\n      index -= d * " + a + ";\n\n      int d2 = index / " + r + ";\n      index -= d2 * " + r + ";\n\n      int d3 = index / " + n + ";\n      int d4 = index - d3 * " + n + ";\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ";
+}function getOutput2DCoords(e, t) {
+  return arraysEqual(e, t) ? "\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(" + t[0] + ", " + t[1] + "));\n      }\n    " : 1 === e[1] ? "\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(" + t[0] + ", " + t[1] + "));\n        int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    " : 1 === e[0] ? "\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(" + t[0] + ", " + t[1] + "));\n        int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n        return ivec2(0, index);\n      }\n    " : "\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(" + t[0] + ", " + t[1] + "));\n      int index = resTexRC.x * " + t[1] + " + resTexRC.y;\n      int r = index / " + e[1] + ";\n      int c = index - r * " + e[1] + ";\n      return ivec2(r, c);\n    }\n  ";
+}function getSamplerScalar(e) {
+  var t = e.name,
+      n = "get" + t.charAt(0).toUpperCase() + t.slice(1);return e.shapeInfo.isUniform ? "float " + n + "() {return " + t + ";}" : "\n    float " + n + "() {\n      return sampleTexture(" + t + ", halfCR);\n    }\n  ";
+}function getSampler1D(e) {
+  var t = e.name,
+      n = "get" + t.charAt(0).toUpperCase() + t.slice(1);return "\n    float " + n + "(int index) {\n      return " + n + "Flat(index);\n    }\n  ";
+}function getSampler2D(e) {
+  var t = e.shapeInfo.logicalShape,
+      n = e.name,
+      r = "get" + n.charAt(0).toUpperCase() + n.slice(1),
+      a = e.shapeInfo.texShape;if (null != a && arraysEqual(t, a)) {
+    var o = a[0];return "\n    float " + r + "(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(" + a[1] + ".0, " + o + ".0);\n      return sampleTexture(" + n + ", uv);\n    }\n  ";
+  }var i = squeezeShape(t),
+      s = i.newShape,
+      u = i.keptDims,
+      l = s;if (l.length < t.length) {
+    return "\n      " + getSamplerFromInInfo(squeezeInputInfo(e, l)) + "\n      float " + r + "(int row, int col) {\n        return " + r + "(" + getSqueezedParams(["row", "col"], u) + ");\n      }\n    ";
+  }if (e.shapeInfo.isUniform) return "\n      float " + r + "(int row, int col) {\n        int index = row * " + t[1] + " + col;\n        return " + r + "Flat(index);\n      }\n    ";var c = a[0],
+      d = a[1];return 1 === d ? "\n    float " + r + "(int row, int col) {\n      int index = row * " + t[1] + " + col;\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / " + c + ".0);\n      return sampleTexture(" + n + ", uv);\n    }\n  " : 1 === c ? "\n    float " + r + "(int row, int col) {\n      int index = row * " + t[1] + " + col;\n      vec2 uv = vec2((float(index) + 0.5) / " + d + ".0, 0.5);\n      return sampleTexture(" + n + ", uv);\n    }\n  " : "\n  float " + r + "(int row, int col) {\n    vec2 uv = UVfrom2D(" + c + ", " + d + ", " + t[1] + ", row, col);\n    return sampleTexture(" + n + ", uv);\n  }\n";
+}function getSampler3D(e) {
+  var t = e.shapeInfo.logicalShape,
+      n = e.name,
+      r = "get" + n.charAt(0).toUpperCase() + n.slice(1),
+      a = t[1] * t[2],
+      o = t[2],
+      i = squeezeShape(t),
+      s = i.newShape,
+      u = i.keptDims,
+      l = s;if (l.length < t.length) {
+    return "\n        " + getSamplerFromInInfo(squeezeInputInfo(e, l)) + "\n        float " + r + "(int row, int col, int depth) {\n          return " + r + "(" + getSqueezedParams(["row", "col", "depth"], u) + ");\n        }\n      ";
+  }if (e.shapeInfo.isUniform) return "\n      float " + r + "(int row, int col, int depth) {\n        int index = row * " + a + " + col * " + o + " + depth;\n        return " + r + "Flat(index);\n      }\n    ";var c = e.shapeInfo.texShape,
+      d = c[0],
+      p = c[1];return p === a ? "\n        float " + r + "(int row, int col, int depth) {\n          int texR = row;\n          int texC = col * " + o + " + depth;\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(" + p + ".0, " + d + ".0);\n          return sampleTexture(" + n + ", uv);\n        }\n      " : p === o ? "\n    float " + r + "(int row, int col, int depth) {\n      int texR = row * " + t[1] + " + col;\n      int texC = depth;\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(" + p + ".0, " + d + ".0);\n      return sampleTexture(" + n + ", uv);\n    }\n  " : "\n      float " + r + "(int row, int col, int depth) {\n        vec2 uv = UVfrom3D(\n            " + d + ", " + p + ", " + a + ", " + o + ", row, col, depth);\n        return sampleTexture(" + n + ", uv);\n      }\n  ";
+}function getSampler4D(e) {
+  var t = e.shapeInfo.logicalShape,
+      n = e.name,
+      r = "get" + n.charAt(0).toUpperCase() + n.slice(1),
+      a = t[3],
+      o = t[2] * a,
+      i = t[1] * o,
+      s = squeezeShape(t),
+      u = s.newShape,
+      l = s.keptDims;if (u.length < t.length) {
+    return "\n      " + getSamplerFromInInfo(squeezeInputInfo(e, u)) + "\n      float " + r + "(int row, int col, int depth, int depth2) {\n        return " + r + "(" + getSqueezedParams(["row", "col", "depth", "depth2"], l) + ");\n      }\n    ";
+  }if (e.shapeInfo.isUniform) return "\n      float " + r + "(int row, int col, int depth, int depth2) {\n        int index = row * " + i + " + col * " + o + " +\n            depth * " + a + " + depth2;\n        return " + r + "Flat(index);\n      }\n    ";var c = e.shapeInfo.texShape,
+      d = c[0],
+      p = c[1];return p === i ? "\n      float " + r + "(int row, int col, int depth, int depth2) {\n        int texR = row;\n        int texC = col * " + o + " + depth * " + a + " + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(" + p + ".0, " + d + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : p === a ? "\n      float " + r + "(int row, int col, int depth, int depth2) {\n        int texR = row * " + t[1] * t[2] + " + col * " + t[2] + " + depth;\n        int texC = depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(" + p + ".0, " + d + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : "\n    float " + r + "(int row, int col, int depth, int depth2) {\n      vec2 uv = UVfrom4D(" + d + ", " + p + ", " + i + ", " + o + ",\n          " + a + ", row, col, depth, depth2);\n      return sampleTexture(" + n + ", uv);\n    }\n  ";
+}function getSampler5D(e) {
+  var t = e.shapeInfo.logicalShape,
+      n = e.name,
+      r = "get" + n.charAt(0).toUpperCase() + n.slice(1),
+      a = t[4],
+      o = t[3] * a,
+      i = t[2] * o,
+      s = t[1] * i,
+      u = squeezeShape(t),
+      l = u.newShape,
+      c = u.keptDims;if (l.length < t.length) {
+    return "\n      " + getSamplerFromInInfo(squeezeInputInfo(e, l)) + "\n      float " + r + "(int row, int col, int depth, int depth2, int depth3) {\n        return " + r + "(" + getSqueezedParams(["row", "col", "depth", "depth2", "depth3"], c) + ");\n      }\n    ";
+  }if (e.shapeInfo.isUniform) return "\n      float " + r + "(int row, int col, int depth, int depth2, int depth3) {\n        int index = row * " + s + " + col * " + i + " +\n            depth * " + o + " + depth2 * " + a + " + depth3;\n        return " + r + "Flat(index);\n      }\n    ";var d = e.shapeInfo.texShape,
+      p = d[0],
+      h = d[1];return h === s ? "\n      float " + r + "(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        int texC = col * " + i + " + depth * " + o + " +\n                   depth2 * " + a + " + depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(" + h + ".0, " + p + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : h === a ? "\n      float " + r + "(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row * " + t[1] * t[2] + " + col * " + t[2] + " +\n                   depth * " + t[3] + " + depth2;\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(" + h + ".0, " + p + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : "\n    float " + r + "(int row, int col, int depth, int depth2, int depth3) {\n      vec2 uv = UVfrom5D(" + p + ", " + h + ", " + s + ", " + i + ",\n          " + o + ", " + a + ", row, col, depth, depth2, depth3);\n      return sampleTexture(" + n + ", uv);\n    }\n  ";
+}function getSampler6D(e) {
+  var t = e.shapeInfo.logicalShape,
+      n = e.name,
+      r = "get" + n.charAt(0).toUpperCase() + n.slice(1),
+      a = t[5],
+      o = t[4] * a,
+      i = t[3] * o,
+      s = t[2] * i,
+      u = t[1] * s,
+      l = squeezeShape(t),
+      c = l.newShape,
+      d = l.keptDims;if (c.length < t.length) {
+    return "\n      " + getSamplerFromInInfo(squeezeInputInfo(e, c)) + "\n      float " + r + "(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return " + r + "(" + getSqueezedParams(["row", "col", "depth", "depth2", "depth3", "depth4"], d) + ");\n      }\n    ";
+  }if (e.shapeInfo.isUniform) return "\n      float " + r + "(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = row * " + u + " + col * " + s + " +\n            depth * " + i + " + depth2 * " + o + " + depth3 * " + o + "\n            + depth4\n        return " + r + "Flat(index);\n      }\n    ";var p = e.shapeInfo.texShape,
+      h = p[0],
+      f = p[1];return f === u ? "\n      float " + r + "(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        int texC = col * " + s + " + depth * " + i + " + depth2;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(" + f + ".0, " + h + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : f === a ? "\n      float " + r + "(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row * " + t[1] * t[2] + " + col * " + t[2] + " + depth;\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(" + f + ".0, " + h + ".0);\n        return sampleTexture(" + n + ", uv);\n      }\n    " : "\n    float " + r + "(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      vec2 uv = UVfrom6D(" + h + ", " + f + ", " + u + ", " + s + ",\n          " + i + ", " + o + ", " + a + "\n          ,row, col, depth, depth2, depth3, depth4);\n      return sampleTexture(" + n + ", uv);\n    }\n  ";
+}function getSamplerFlat(e) {
+  var t = e.name,
+      n = "get" + t.charAt(0).toUpperCase() + t.slice(1) + "Flat",
+      r = sizeFromShape(e.shapeInfo.logicalShape);if (e.shapeInfo.isUniform) return 1 === r ? "float " + n + "(int index) {return " + t + ";}" : "\n      float " + n + "(int index) {\n        for (int i = 0; i < " + r + "; i++) {\n          if (i == index) {\n            return " + t + "[i];\n          }\n        }\n      }\n    ";var a = e.shapeInfo.texShape,
+      o = a[0],
+      i = a[1];return 1 === i && 1 === o ? "\n      float " + n + "(int index) {\n        return sampleTexture(" + t + ", halfCR);\n      }\n    " : 1 === i ? "\n      float " + n + "(int index) {\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / " + o + ".0);\n        return sampleTexture(" + t + ", uv);\n      }\n    " : 1 === o ? "\n      float " + n + "(int index) {\n        vec2 uv = vec2((float(index) + 0.5) / " + i + ".0, 0.5);\n        return sampleTexture(" + t + ", uv);\n      }\n    " : "\n    float " + n + "(int index) {\n      vec2 uv = UVfrom1D(" + o + ", " + i + ", index);\n      return sampleTexture(" + t + ", uv);\n    }\n  ";
+}function getBroadcastOutputCoordsSampler(e, t, n, r) {
+  var a = e.shapeInfo.logicalShape.length,
+      o = t.logicalShape.length,
+      i = "int";2 === o ? i = "ivec2" : 3 === o ? i = "ivec3" : 4 === o && (i = "ivec4");var s = getBroadcastDims(e.shapeInfo.logicalShape, t.logicalShape),
+      u = o - a;return "\n    float " + r + "() {\n      " + i + " coords = getOutputCoords();\n      " + (0 === a ? "" : o < 2 && s.length >= 1 ? "coords = 0;" : s.map(function (e) {
+    return "coords[" + (e + u) + "] = 0;";
+  }).join("\n")) + "\n      return get" + n + "(" + (o < 2 && a > 0 ? "coords" : e.shapeInfo.logicalShape.map(function (e, t) {
+    return "coords[" + (t + u) + "]";
+  }).join(", ")) + ");\n    }\n  ";
+}function getSamplerAtOutputCoords(e, t, n) {
+  var r = e.name,
+      a = r.charAt(0).toUpperCase() + r.slice(1),
+      o = "get" + a + "AtOutCoords",
+      i = getBroadcastDims(e.shapeInfo.logicalShape, t.logicalShape),
+      s = e.shapeInfo.logicalShape.length,
+      u = t.logicalShape.length,
+      l = n && (u > s || i.length > 0),
+      c = broadcastDimsAreOuter(i),
+      d = e.shapeInfo.isUniform;if (l && !c) return getBroadcastOutputCoordsSampler(e, t, a, o);var p = sizeFromShape(e.shapeInfo.logicalShape),
+      h = "";l && c && (h = "\n        int mainPart = index / " + p + ";\n        index -= mainPart * " + p + ";\n      ");var f = t.texShape;if (d) return 1 === p ? "float " + o + "() {return " + r + ";}" : "\n      float " + o + "() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                              vec2(" + f[0] + ", " + f[1] + "));\n        int index = resTexRC.x * " + f[1] + " + resTexRC.y;\n        " + h + "\n        return get" + a + "Flat(index);\n      }\n    ";var g = e.shapeInfo.texShape;return arraysEqual(g, f) ? "\n      float " + o + "() {\n        return sampleTexture(" + r + ", resultUV);\n      }\n    " : "\n    float " + o + "() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(" + f[0] + ", " + f[1] + "));\n      int index = resTexRC.x * " + f[1] + " + resTexRC.y;\n      " + h + "\n      int texR = index / " + g[1] + ";\n      int texC = index - texR * " + g[1] + ";\n      vec2 uv = (vec2(texC, texR) + halfCR) /\n                 vec2(" + g[1] + ".0, " + g[0] + ".0);\n\n      return sampleTexture(" + r + ", uv);\n    }\n  ";
+}function getCoordsDataType(e) {
+  if (e <= 1) return "int";if (2 === e) return "ivec2";if (3 === e) return "ivec3";if (4 === e) return "ivec4";if (5 === e) return "ivec5";if (6 === e) return "ivec6";throw Error("GPU for rank " + e + " is not yet supported");
+}function squeezeInputInfo(e, t) {
+  var n = JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape = t, n;
+}function getSqueezedParams(e, t) {
+  return t.map(function (t) {
+    return e[t];
+  }).join(", ");
+}var CumSumProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["x"], this.outputShape = e;var r = e.length,
+        a = e[e.length - 1],
+        o = n ? "<" : ">";this.userCode = "\n      int getIndex(int i) {\n        " + (n ? "return " + a + " -i - 1;" : "return i;") + "\n      }\n\n      void main() {\n        " + getCoordsDataType(r) + " coords = getOutputCoords();\n        int end = " + getFinalCoord(r, "coords") + ";\n        float val = 0.0;\n        for (int i = " + a + " - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx " + o + " end) {\n            continue;\n          }\n          if (idx == end && " + t + ") {\n            continue;\n          }\n          " + getFinalCoord(r, "coords") + " = idx;\n          val += getX(" + getCoords(r, "coords") + ");\n        }\n        setOutput(val);\n      }\n    ";
+  };
+}();function getCoords(e, t) {
+  if (1 === e) return "" + t;if (2 === e) return t + ".x, " + t + ".y";if (3 === e) return t + ".x, " + t + ".y, " + t + ".z";if (4 === e) return t + ".x, " + t + ".y, " + t + ".z, " + t + ".w";throw Error("Cumulative sum for rank " + e + " is not yet supported");
+}function getFinalCoord(e, t) {
+  if (1 === e) return "" + t;if (2 === e) return t + ".y";if (3 === e) return t + ".z";if (4 === e) return t + ".w";throw Error("Cumulative sum for rank " + e + " is not yet supported");
+}var TextureUsage,
+    PhysicalTextureType,
+    EncodeFloatProgram = function () {
+  return function (e) {
+    this.variableNames = ["A"], this.outputShape = e, this.userCode = "\n      const float FLOAT_MAX = 1.70141184e38;\n      const float FLOAT_MIN = 1.17549435e-38;\n\n      lowp vec4 encode_float(highp float v) {\n        if (isNaN(v)) {\n          return vec4(255, 255, 255, 255);\n        }\n\n        highp float av = abs(v);\n\n        if(av < FLOAT_MIN) {\n          return vec4(0.0, 0.0, 0.0, 0.0);\n        } else if(v > FLOAT_MAX) {\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n        } else if(v < -FLOAT_MAX) {\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n        }\n\n        highp vec4 c = vec4(0,0,0,0);\n\n        highp float e = floor(log2(av));\n        highp float m = exp2(fract(log2(av))) - 1.0;\n\n        c[2] = floor(128.0 * m);\n        m -= c[2] / 128.0;\n        c[1] = floor(32768.0 * m);\n        m -= c[1] / 32768.0;\n        c[0] = floor(8388608.0 * m);\n\n        highp float ebias = e + 127.0;\n        c[3] = floor(ebias / 2.0);\n        ebias -= c[3] * 2.0;\n        c[2] += floor(ebias) * 128.0;\n\n        c[3] += 128.0 * step(0.0, -v);\n\n        return c / 255.0;\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        gl_FragColor = encode_float(x);\n      }\n    ";
+  };
+}(),
+    FromPixelsProgram = function () {
+  return function (e) {
+    this.variableNames = ["A"];var t = e[0],
+        n = e[1];this.outputShape = e, this.userCode = "\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(" + n + ".0, " + t + ".0);\n\n        vec4 values = texture2D(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    ";
+  };
+}(),
+    GatherProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["A", "indices"];var r = e.slice();r[n] = t, this.outputShape = r, this.rank = r.length;var a = getCoordsDataType(this.rank),
+        o = getSourceCoords(e, n);this.userCode = "\n      void main() {\n        " + a + " resRC = getOutputCoords();\n        setOutput(getA(" + o + "));\n      }\n    ";
+  };
+}();function getSourceCoords(e, t) {
+  var n = e.length;if (n > 4) throw Error("Gather for rank " + n + " is not yet supported");if (1 === n) return "int(getIndices(resRC))";for (var r = ["resRC.x", "resRC.y", "resRC.z", "resRC.w"], a = [], o = 0; o < e.length; o++) o === t ? a.push("int(getIndices(" + r[o] + "))") : a.push("" + r[o]);return a.join();
+}function getUnpackedMatrixTextureShapeWidthHeight(e, t) {
+  return [t, e];
+}function getUnpackedArraySizeFromMatrixSize(e, t) {
+  return e * t;
+}function getMatrixSizeFromUnpackedArraySize(e, t) {
+  if (e % t != 0) throw new Error("unpackedSize (" + e + ") must be a multiple of " + t);return e / t;
+}function encodeMatrixToUnpackedArray(e, t, n) {
+  var r = getUnpackedArraySizeFromMatrixSize(e.length, n);if (t.length < r) throw new Error("unpackedArray length (" + t.length + ") must be >= " + r);for (var a = 0, o = 0; o < e.length; ++o) t[a] = e[o], a += n;
+}function decodeMatrixFromUnpackedArray(e, t, n) {
+  var r = getMatrixSizeFromUnpackedArraySize(e.length, n);if (t.length < r) throw new Error("matrix length (" + t.length + ") must be >= " + r);for (var a = 0, o = 0; o < e.length; o += n) t[a++] = e[o];
+}function getPackedMatrixTextureShapeWidthHeight(e, t) {
+  return [Math.ceil(t / 2), Math.ceil(e / 2)];
+}function getPackedRGBAArraySizeFromMatrixShape(e, t) {
+  var n = getPackedMatrixTextureShapeWidthHeight(e, t);return n[0] * n[1] * 4;
+}function encodeMatrixToPackedRGBA(e, t, n, r) {
+  var a = getPackedRGBAArraySizeFromMatrixShape(t, n);if (r.length < a) throw new Error("packedRGBA length (" + r.length + ") must be >= " + a);for (var o = getPackedMatrixTextureShapeWidthHeight(t, n), i = o[0], s = o[1], u = n % 2 == 1, l = t % 2 == 1, c = Math.floor(n / 2), d = Math.floor(t / 2), p = u ? 4 : 0, h = n, f = 0, g = 0; g < d; ++g) {
+    for (var m = 2 * g * n, v = 0; v < c; ++v) {
+      var y = m + 2 * v;r[f] = e[y], r[f + 1] = e[y + 1], r[f + 2] = e[y + h], r[f + 3] = e[y + h + 1], f += 4;
+    }f += p;
+  }if (u) {
+    y = n - 1, f = 4 * (i - 1);var x = 2 * n;for (p = 4 * i, g = 0; g < d; ++g) r[f] = e[y], r[f + 2] = e[y + n], y += x, f += p;
+  }if (l) for (y = (t - 1) * n, f = (s - 1) * i * 4, v = 0; v < c; ++v) r[f++] = e[y++], r[f++] = e[y++], f += 2;return u && l && (r[r.length - 4] = e[e.length - 1]), r;
+}function decodeMatrixFromPackedRGBA(e, t, n, r) {
+  var a = t * n;if (a < r.length) throw new Error("matrix length (" + r.length + ") must be >= " + a);for (var o = n % 2 == 1, i = t % 2 == 1, s = Math.floor(n / 2), u = Math.floor(t / 2), l = getPackedMatrixTextureShapeWidthHeight(t, n), c = l[0], d = l[1], p = o ? 4 : 0, h = n + (o ? 1 : 0), f = 0, g = 0, m = n, v = 0; v < u; ++v) {
+    for (var y = 0; y < s; ++y) r[g++] = e[f++], r[g++] = e[f++], r[m++] = e[f++], r[m++] = e[f++];f += p, g += h, m += h;
+  }if (o) {
+    f = 4 * (c - 1);var x = n - 1;for (p = 4 * c, h = 2 * n, v = 0; v < u; ++v) r[x] = e[f], r[x + n] = e[f + 2], f += p, x += h;
+  }if (i) for (f = (d - 1) * c * 4, x = (t - 1) * n, y = 0; y < s; ++y) r[x++] = e[f++], r[x++] = e[f++], f += 2;return o && i && (r[r.length - 1] = e[e.length - 4]), r;
+}!function (e) {
+  e[e.RENDER = 0] = "RENDER", e[e.UPLOAD = 1] = "UPLOAD", e[e.PIXELS = 2] = "PIXELS", e[e.DOWNLOAD = 3] = "DOWNLOAD";
+}(TextureUsage || (TextureUsage = {})), function (e) {
+  e[e.FLOAT16 = 0] = "FLOAT16", e[e.FLOAT32 = 1] = "FLOAT32", e[e.UNSIGNED_BYTE = 2] = "UNSIGNED_BYTE";
+}(PhysicalTextureType || (PhysicalTextureType = {}));var MAX_TEXTURE_SIZE = null;function createWebGLRenderingContext(e) {
+  var t = document.createElement("canvas");return t.width = 1, t.height = 1, createWebGLRenderingContextFromCanvas(t, e);
+}function createWebGLRenderingContextFromCanvas(e, t) {
+  var n,
+      r = ENV.get("WEBGL_VERSION");if (2 === r ? n = e.getContext("webgl2", t) : 1 === r && (n = e.getContext("webgl", t) || e.getContext("experimental-webgl", t)), 0 === r || null == n) throw new Error("This browser does not support WebGL.");return n;
+}function callAndCheck(e, t) {
+  var n = t();return checkWebGLError(e), n;
+}var webGLDebugErrorCheckingEnabled = !1;function enableDebugWebGLErrorChecking(e) {
+  webGLDebugErrorCheckingEnabled = e;
+}function checkWebGLError(e) {
+  if (webGLDebugErrorCheckingEnabled) {
+    var t = e.getError();if (t !== e.NO_ERROR) throw new Error("WebGL Error: " + getWebGLErrorMessage(e, t));
+  }
+}function getWebGLErrorMessage(e, t) {
+  switch (t) {case e.NO_ERROR:
+      return "NO_ERROR";case e.INVALID_ENUM:
+      return "INVALID_ENUM";case e.INVALID_VALUE:
+      return "INVALID_VALUE";case e.INVALID_OPERATION:
+      return "INVALID_OPERATION";case e.INVALID_FRAMEBUFFER_OPERATION:
+      return "INVALID_FRAMEBUFFER_OPERATION";case e.OUT_OF_MEMORY:
+      return "OUT_OF_MEMORY";case e.CONTEXT_LOST_WEBGL:
+      return "CONTEXT_LOST_WEBGL";default:
+      return "Unknown error code " + t;}
+}function getExtensionOrThrow(e, t) {
+  return throwIfNull(e, function () {
+    return e.getExtension(t);
+  }, 'Extension "' + t + '" not supported on this browser.');
+}function createVertexShader(e, t) {
+  var n = throwIfNull(e, function () {
+    return e.createShader(e.VERTEX_SHADER);
+  }, "Unable to create vertex WebGLShader.");if (callAndCheck(e, function () {
+    return e.shaderSource(n, t);
+  }), callAndCheck(e, function () {
+    return e.compileShader(n);
+  }), !1 === e.getShaderParameter(n, e.COMPILE_STATUS)) throw console.log(e.getShaderInfoLog(n)), new Error("Failed to compile vertex shader.");return n;
+}function createFragmentShader(e, t) {
+  var n = throwIfNull(e, function () {
+    return e.createShader(e.FRAGMENT_SHADER);
+  }, "Unable to create fragment WebGLShader.");if (callAndCheck(e, function () {
+    return e.shaderSource(n, t);
+  }), callAndCheck(e, function () {
+    return e.compileShader(n);
+  }), !1 === e.getShaderParameter(n, e.COMPILE_STATUS)) throw logShaderSourceAndInfoLog(t, e.getShaderInfoLog(n)), new Error("Failed to compile fragment shader.");return n;
+}var lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e, t) {
+  var n = lineNumberRegex.exec(t);if (null == n) return console.log("Couldn't parse line number in error: " + t), void console.log(e);for (var r = +n[1], a = e.split("\n"), o = a.length.toString().length + 2, i = a.map(function (e, t) {
+    return rightPad((t + 1).toString(), o) + e;
+  }), s = 0, u = 0; u < i.length; u++) s = Math.max(i[u].length, s);var l = i.slice(0, r - 1),
+      c = i.slice(r - 1, r),
+      d = i.slice(r);console.log(l.join("\n")), console.log(t.split("\n")[0]), console.log("%c " + rightPad(c[0], s), "border:1px solid red; background-color:#e3d2d2; color:#a61717"), console.log(d.join("\n"));
+}function createProgram(e) {
+  return throwIfNull(e, function () {
+    return e.createProgram();
+  }, "Unable to create WebGLProgram.");
+}function linkProgram(e, t) {
+  if (callAndCheck(e, function () {
+    return e.linkProgram(t);
+  }), !1 === e.getProgramParameter(t, e.LINK_STATUS)) throw console.log(e.getProgramInfoLog(t)), new Error("Failed to link vertex and fragment shaders.");
+}function validateProgram(e, t) {
+  if (callAndCheck(e, function () {
+    return e.validateProgram(t);
+  }), !1 === e.getProgramParameter(t, e.VALIDATE_STATUS)) throw console.log(e.getProgramInfoLog(t)), new Error("Shader program validation failed.");
+}function createStaticVertexBuffer(e, t) {
+  var n = throwIfNull(e, function () {
+    return e.createBuffer();
+  }, "Unable to create WebGLBuffer");return callAndCheck(e, function () {
+    return e.bindBuffer(e.ARRAY_BUFFER, n);
+  }), callAndCheck(e, function () {
+    return e.bufferData(e.ARRAY_BUFFER, t, e.STATIC_DRAW);
+  }), n;
+}function createStaticIndexBuffer(e, t) {
+  var n = throwIfNull(e, function () {
+    return e.createBuffer();
+  }, "Unable to create WebGLBuffer");return callAndCheck(e, function () {
+    return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER, n);
+  }), callAndCheck(e, function () {
+    return e.bufferData(e.ELEMENT_ARRAY_BUFFER, t, e.STATIC_DRAW);
+  }), n;
+}function queryMaxTextureSize(e) {
+  return null != MAX_TEXTURE_SIZE ? MAX_TEXTURE_SIZE : MAX_TEXTURE_SIZE = callAndCheck(e, function () {
+    return e.getParameter(e.MAX_TEXTURE_SIZE);
+  });
+}function getNumChannels() {
+  return 2 === ENV.get("WEBGL_VERSION") ? 1 : 4;
+}function createTexture(e) {
+  return throwIfNull(e, function () {
+    return e.createTexture();
+  }, "Unable to create WebGLTexture.");
+}function validateTextureSize(e, t, n) {
+  var r = queryMaxTextureSize(e);if (t <= 0 || n <= 0) {
+    var a = "[" + t + "x" + n + "]";throw new Error("Requested texture size " + a + " is invalid.");
+  }if (t > r || n > r) {
+    a = "[" + t + "x" + n + "]";throw new Error("Requested texture size " + a + " greater than WebGL maximum on this browser / GPU " + ("[" + r + "x" + r + "]") + ".");
+  }
+}function createFramebuffer(e) {
+  return throwIfNull(e, function () {
+    return e.createFramebuffer();
+  }, "Unable to create WebGLFramebuffer.");
+}function bindVertexBufferToProgramAttribute(e, t, n, r, a, o, i) {
+  var s = e.getAttribLocation(t, n);return -1 !== s && (callAndCheck(e, function () {
+    return e.bindBuffer(e.ARRAY_BUFFER, r);
+  }), callAndCheck(e, function () {
+    return e.vertexAttribPointer(s, a, e.FLOAT, !1, o, i);
+  }), callAndCheck(e, function () {
+    return e.enableVertexAttribArray(s);
+  }), !0);
+}function bindTextureUnit(e, t, n) {
+  validateTextureUnit(e, n), callAndCheck(e, function () {
+    return e.activeTexture(e.TEXTURE0 + n);
+  }), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, t);
+  });
+}function unbindTextureUnit(e, t) {
+  validateTextureUnit(e, t), callAndCheck(e, function () {
+    return e.activeTexture(e.TEXTURE0 + t);
+  }), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, null);
+  });
+}function getProgramUniformLocationOrThrow(e, t, n) {
+  return throwIfNull(e, function () {
+    return e.getUniformLocation(t, n);
+  }, 'uniform "' + n + '" not present in program.');
+}function getProgramUniformLocation(e, t, n) {
+  return e.getUniformLocation(t, n);
+}function bindTextureToProgramUniformSampler(e, t, n, r, a) {
+  callAndCheck(e, function () {
+    return bindTextureUnit(e, n, a);
+  }), callAndCheck(e, function () {
+    return e.uniform1i(r, a);
+  });
+}function bindCanvasToFramebuffer(e) {
+  callAndCheck(e, function () {
+    return e.bindFramebuffer(e.FRAMEBUFFER, null);
+  }), callAndCheck(e, function () {
+    return e.viewport(0, 0, e.canvas.width, e.canvas.height);
+  }), callAndCheck(e, function () {
+    return e.scissor(0, 0, e.canvas.width, e.canvas.height);
+  });
+}function bindColorTextureToFramebuffer(e, t, n) {
+  callAndCheck(e, function () {
+    return e.bindFramebuffer(e.FRAMEBUFFER, n);
+  }), callAndCheck(e, function () {
+    return e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, t, 0);
+  });
+}function unbindColorTextureFromFramebuffer(e, t) {
+  callAndCheck(e, function () {
+    return e.bindFramebuffer(e.FRAMEBUFFER, t);
+  }), callAndCheck(e, function () {
+    return e.framebufferTexture2D(e.FRAMEBUFFER, e.COLOR_ATTACHMENT0, e.TEXTURE_2D, null, 0);
+  });
+}function validateFramebuffer(e) {
+  var t = e.checkFramebufferStatus(e.FRAMEBUFFER);if (t !== e.FRAMEBUFFER_COMPLETE) throw new Error("Error binding framebuffer: " + getFramebufferErrorMessage(e, t));
+}function getFramebufferErrorMessage(e, t) {
+  switch (t) {case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:
+      return "FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:
+      return "FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:
+      return "FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:
+      return "FRAMEBUFFER_UNSUPPORTED";default:
+      return "unknown error " + t;}
+}function throwIfNull(e, t, n) {
+  var r = callAndCheck(e, function () {
+    return t();
+  });if (null == r) throw new Error(n);return r;
+}function validateTextureUnit(e, t) {
+  var n = e.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1,
+      r = t + e.TEXTURE0;if (r < e.TEXTURE0 || r > n) throw new Error("textureUnit must be in " + ("[gl.TEXTURE0, gl.TEXTURE" + n + "]") + ".");
+}function getTextureShapeFromLogicalShape(e, t) {
+  2 !== t.length && (t = squeezeShape(t).newShape);var n = queryMaxTextureSize(e),
+      r = sizeFromShape(t);return t.length <= 1 && r <= n ? [r, 1] : 2 === t.length && t[0] <= n && t[1] <= n ? t : 3 === t.length && t[0] <= n && t[1] * t[2] <= n ? [t[0], t[1] * t[2]] : 4 === t.length && t[0] <= n && t[1] * t[2] * t[3] <= n ? [t[0], t[1] * t[2] * t[3]] : sizeToSquarishShape(r);
+}var webgl_util = Object.freeze({ createWebGLRenderingContext: createWebGLRenderingContext, createWebGLRenderingContextFromCanvas: createWebGLRenderingContextFromCanvas, callAndCheck: callAndCheck, enableDebugWebGLErrorChecking: enableDebugWebGLErrorChecking, checkWebGLError: checkWebGLError, getWebGLErrorMessage: getWebGLErrorMessage, getExtensionOrThrow: getExtensionOrThrow, createVertexShader: createVertexShader, createFragmentShader: createFragmentShader, createProgram: createProgram, linkProgram: linkProgram, validateProgram: validateProgram, createStaticVertexBuffer: createStaticVertexBuffer, createStaticIndexBuffer: createStaticIndexBuffer, queryMaxTextureSize: queryMaxTextureSize, getNumChannels: getNumChannels, createTexture: createTexture, validateTextureSize: validateTextureSize, createFramebuffer: createFramebuffer, bindVertexBufferToProgramAttribute: bindVertexBufferToProgramAttribute, bindTextureUnit: bindTextureUnit, unbindTextureUnit: unbindTextureUnit, getProgramUniformLocationOrThrow: getProgramUniformLocationOrThrow, getProgramUniformLocation: getProgramUniformLocation, bindTextureToProgramUniformSampler: bindTextureToProgramUniformSampler, bindCanvasToFramebuffer: bindCanvasToFramebuffer, bindColorTextureToFramebuffer: bindColorTextureToFramebuffer, unbindColorTextureFromFramebuffer: unbindColorTextureFromFramebuffer, validateFramebuffer: validateFramebuffer, getFramebufferErrorMessage: getFramebufferErrorMessage, getTextureShapeFromLogicalShape: getTextureShapeFromLogicalShape });function getWebGLContextAttributes() {
+  return { alpha: !1, antialias: !1, premultipliedAlpha: !1, preserveDrawingBuffer: !1, depth: !1, stencil: !1, failIfMajorPerformanceCaveat: !0 };
+}function createWebGLContext(e) {
+  var t,
+      n = getWebGLContextAttributes();return callAndCheck(t = null != e ? createWebGLRenderingContextFromCanvas(e, n) : createWebGLRenderingContext(n), function () {
+    return t.disable(t.DEPTH_TEST);
+  }), callAndCheck(t, function () {
+    return t.disable(t.STENCIL_TEST);
+  }), callAndCheck(t, function () {
+    return t.disable(t.BLEND);
+  }), callAndCheck(t, function () {
+    return t.disable(t.DITHER);
+  }), callAndCheck(t, function () {
+    return t.disable(t.POLYGON_OFFSET_FILL);
+  }), callAndCheck(t, function () {
+    return t.disable(t.SAMPLE_COVERAGE);
+  }), callAndCheck(t, function () {
+    return t.enable(t.SCISSOR_TEST);
+  }), callAndCheck(t, function () {
+    return t.enable(t.CULL_FACE);
+  }), callAndCheck(t, function () {
+    return t.cullFace(t.BACK);
+  }), t;
+}function createVertexShader$1(e) {
+  return createVertexShader(e, "\n    precision highp float;\n    attribute vec3 clipSpacePos;\n    attribute vec2 uv;\n    varying vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }");
+}function createVertexBuffer(e) {
+  return createStaticVertexBuffer(e, new Float32Array([-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]));
+}function createIndexBuffer(e) {
+  return createStaticIndexBuffer(e, new Uint16Array([0, 1, 2, 2, 1, 3]));
+}function getTextureConfig(e, t) {
+  var n,
+      r,
+      a,
+      o,
+      i,
+      s,
+      u,
+      l = e;return 2 === ENV.get("WEBGL_VERSION") ? (n = l.R32F, r = l.R16F, a = l.RGBA32F, o = l.RED, i = 4, s = 1, u = l.HALF_FLOAT) : (n = e.RGBA, r = e.RGBA, a = l.RGBA, o = e.RGBA, i = 4, s = 4, u = null != t ? t.HALF_FLOAT_OES : null), { internalFormatFloat: n, internalFormatHalfFloat: r, internalFormatPackedFloat: a, textureFormatFloat: o, downloadTextureFormat: e.RGBA, downloadUnpackNumChannels: i, defaultNumChannels: s, textureTypeHalfFloat: u };
+}function createAndConfigureTexture(e, t, n, r, a, o) {
+  validateTextureSize(e, t, n);var i = createTexture(e),
+      s = e.TEXTURE_2D;return callAndCheck(e, function () {
+    return e.bindTexture(s, i);
+  }), callAndCheck(e, function () {
+    return e.texParameteri(s, e.TEXTURE_WRAP_S, e.CLAMP_TO_EDGE);
+  }), callAndCheck(e, function () {
+    return e.texParameteri(s, e.TEXTURE_WRAP_T, e.CLAMP_TO_EDGE);
+  }), callAndCheck(e, function () {
+    return e.texParameteri(s, e.TEXTURE_MIN_FILTER, e.NEAREST);
+  }), callAndCheck(e, function () {
+    return e.texParameteri(s, e.TEXTURE_MAG_FILTER, e.NEAREST);
+  }), callAndCheck(e, function () {
+    return e.texImage2D(s, 0, r, t, n, 0, a, o, null);
+  }), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, null);
+  }), i;
+}function createFloat32MatrixTexture(e, t, n, r) {
+  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatFloat, r.textureFormatFloat, e.FLOAT);
+}function createFloat16MatrixTexture(e, t, n, r) {
+  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatFloat, r.textureFormatFloat, r.textureTypeHalfFloat);
+}function createUnsignedBytesMatrixTexture(e, t, n, r) {
+  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], e.RGBA, e.RGBA, e.UNSIGNED_BYTE);
+}function createPackedMatrixTexture(e, t, n, r) {
+  var a = getPackedMatrixTextureShapeWidthHeight(t, n);return createAndConfigureTexture(e, a[0], a[1], r.internalFormatPackedFloat, e.RGBA, e.FLOAT);
+}function bindVertexProgramAttributeStreams(e, t, n) {
+  return callAndCheck(e, function () {
+    return e.bindBuffer(e.ARRAY_BUFFER, n);
+  }), bindVertexBufferToProgramAttribute(e, t, "clipSpacePos", n, 3, 20, 0) && bindVertexBufferToProgramAttribute(e, t, "uv", n, 2, 20, 12);
+}function uploadPixelDataToTexture(e, t, n) {
+  callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, t);
+  }), callAndCheck(e, function () {
+    return e.texImage2D(e.TEXTURE_2D, 0, e.RGBA, e.RGBA, e.UNSIGNED_BYTE, n);
+  }), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, null);
+  });
+}function uploadDataToTexture(e, t, n, r, a, o) {
+  validateTextureSize(e, n, r), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, t);
+  }), callAndCheck(e, function () {
+    return e.texSubImage2D(e.TEXTURE_2D, 0, 0, 0, n, r, o, e.FLOAT, a);
+  }), callAndCheck(e, function () {
+    return e.bindTexture(e.TEXTURE_2D, null);
+  });
+}function uploadMatrixToTexture(e, t, n, r, a, o, i) {
+  var s,
+      u = getUnpackedMatrixTextureShapeWidthHeight(n, r),
+      l = u[0],
+      c = u[1];1 === i.defaultNumChannels ? s = a : encodeMatrixToUnpackedArray(a, s = new Float32Array(getUnpackedArraySizeFromMatrixSize(a.length, o)), o), uploadDataToTexture(e, t, l, c, s, i.textureFormatFloat);
+}function uploadMatrixToPackedTexture(e, t, n, r, a, o) {
+  var i = getPackedMatrixTextureShapeWidthHeight(n, r),
+      s = i[0],
+      u = i[1],
+      l = new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n, r));encodeMatrixToPackedRGBA(a, n, r, l), uploadDataToTexture(e, t, s, u, l, e.RGBA);
+}function downloadMatrixFromOutputTextureAsync(e, t, n, r, a) {
+  return __awaiter(this, void 0, void 0, function () {
+    var o, i, s, u, l;return __generator(this, function (c) {
+      switch (c.label) {case 0:
+          return o = e, i = new Float32Array(getUnpackedArraySizeFromMatrixSize(n * r, a.downloadUnpackNumChannels)), s = i instanceof Float32Array ? 4 * i.length : i, u = e.createBuffer(), callAndCheck(e, function () {
+            return e.bindBuffer(o.PIXEL_PACK_BUFFER, u);
+          }), callAndCheck(e, function () {
+            return e.bufferData(o.PIXEL_PACK_BUFFER, s, e.STATIC_DRAW);
+          }), callAndCheck(e, function () {
+            return o.readPixels(0, 0, r, n, e.RGBA, e.FLOAT, 0);
+          }), [4, t.getBufferSubDataAsync(o.PIXEL_PACK_BUFFER, 0, i)];case 1:
+          return c.sent(), l = new Float32Array(n * r), decodeMatrixFromUnpackedArray(i, l, a.downloadUnpackNumChannels), [2, l];}
+    });
+  });
+}function downloadFloat32MatrixFromOutputTexture(e, t, n, r) {
+  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n),
+      o = a[0],
+      i = a[1],
+      s = new Float32Array(getUnpackedArraySizeFromMatrixSize(t * n, r.downloadUnpackNumChannels));callAndCheck(e, function () {
+    return e.readPixels(0, 0, o, i, r.downloadTextureFormat, e.FLOAT, s);
+  });var u = new Float32Array(t * n);return decodeMatrixFromUnpackedArray(s, u, r.downloadUnpackNumChannels), u;
+}function downloadByteEncodedFloatMatrixFromOutputTexture(e, t, n, r) {
+  var a = getUnpackedMatrixTextureShapeWidthHeight(t, n),
+      o = a[0],
+      i = a[1],
+      s = new Uint8Array(getUnpackedArraySizeFromMatrixSize(t * n, 4));return callAndCheck(e, function () {
+    return e.readPixels(0, 0, o, i, r.downloadTextureFormat, e.UNSIGNED_BYTE, s);
+  }), new Float32Array(s.buffer);
+}function downloadMatrixFromPackedOutputTexture(e, t, n, r) {
+  var a = getPackedMatrixTextureShapeWidthHeight(t, n),
+      o = a[0],
+      i = a[1],
+      s = new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t, n));callAndCheck(e, function () {
+    return e.readPixels(0, 0, o, i, e.RGBA, e.FLOAT, s);
+  });var u = new Float32Array(t * n);return decodeMatrixFromPackedRGBA(s, t, n, u);
+}var gpgpu_util = Object.freeze({ getWebGLContextAttributes: getWebGLContextAttributes, createWebGLContext: createWebGLContext, createVertexShader: createVertexShader$1, createVertexBuffer: createVertexBuffer, createIndexBuffer: createIndexBuffer, getTextureConfig: getTextureConfig, createFloat32MatrixTexture: createFloat32MatrixTexture, createFloat16MatrixTexture: createFloat16MatrixTexture, createUnsignedBytesMatrixTexture: createUnsignedBytesMatrixTexture, createPackedMatrixTexture: createPackedMatrixTexture, bindVertexProgramAttributeStreams: bindVertexProgramAttributeStreams, uploadPixelDataToTexture: uploadPixelDataToTexture, uploadMatrixToTexture: uploadMatrixToTexture, uploadMatrixToPackedTexture: uploadMatrixToPackedTexture, downloadMatrixFromOutputTextureAsync: downloadMatrixFromOutputTextureAsync, downloadFloat32MatrixFromOutputTexture: downloadFloat32MatrixFromOutputTexture, downloadByteEncodedFloatMatrixFromOutputTexture: downloadByteEncodedFloatMatrixFromOutputTexture, downloadMatrixFromPackedOutputTexture: downloadMatrixFromPackedOutputTexture }),
+    GPGPUContext = function () {
+  function e(e) {
+    this.outputTexture = null, this.program = null, this.disposed = !1, this.autoDebugValidate = !1, this.vertexAttrsAreBound = !1, this.itemsToPoll = [], this.gl = null != e ? e : createWebGLContext(), 1 === ENV.get("WEBGL_VERSION") ? (this.textureFloatExtension = getExtensionOrThrow(this.gl, "OES_texture_float"), this.colorBufferFloatExtension = this.gl.getExtension("WEBGL_color_buffer_float"), ENV.get("WEBGL_RENDER_FLOAT32_ENABLED") || (this.textureHalfFloatExtension = getExtensionOrThrow(this.gl, "OES_texture_half_float"), this.colorBufferHalfFloatExtension = this.gl.getExtension("EXT_color_buffer_half_float"))) : this.colorBufferFloatExtension = getExtensionOrThrow(this.gl, "EXT_color_buffer_float"), this.loseContextExtension = getExtensionOrThrow(this.gl, "WEBGL_lose_context"), ENV.get("WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED") && (this.getBufferSubDataAsyncExtension = this.gl.getExtension("WEBGL_get_buffer_sub_data_async")), this.vertexBuffer = createVertexBuffer(this.gl), this.indexBuffer = createIndexBuffer(this.gl), this.framebuffer = createFramebuffer(this.gl), this.textureConfig = getTextureConfig(this.gl, this.textureHalfFloatExtension);
+  }return e.prototype.dispose = function () {
+    var e = this;if (!this.disposed) {
+      null != this.program && console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."), null != this.outputTexture && console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var t = this.gl;callAndCheck(t, function () {
+        return t.finish();
+      }), callAndCheck(t, function () {
+        return t.bindFramebuffer(t.FRAMEBUFFER, null);
+      }), callAndCheck(t, function () {
+        return t.deleteFramebuffer(e.framebuffer);
+      }), callAndCheck(t, function () {
+        return t.bindBuffer(t.ARRAY_BUFFER, null);
+      }), callAndCheck(t, function () {
+        return t.deleteBuffer(e.vertexBuffer);
+      }), callAndCheck(t, function () {
+        return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER, null);
+      }), callAndCheck(t, function () {
+        return t.deleteBuffer(e.indexBuffer);
+      }), this.loseContextExtension.loseContext(), this.disposed = !0;
+    }
+  }, e.prototype.enableAutomaticDebugValidation = function (e) {
+    this.autoDebugValidate = e, enableDebugWebGLErrorChecking(e);
+  }, e.prototype.createFloat32MatrixTexture = function (e, t) {
+    return this.throwIfDisposed(), createFloat32MatrixTexture(this.gl, e, t, this.textureConfig);
+  }, e.prototype.createFloat16MatrixTexture = function (e, t) {
+    return this.throwIfDisposed(), createFloat16MatrixTexture(this.gl, e, t, this.textureConfig);
+  }, e.prototype.createUnsignedBytesMatrixTexture = function (e, t) {
+    return this.throwIfDisposed(), createUnsignedBytesMatrixTexture(this.gl, e, t, this.textureConfig);
+  }, e.prototype.uploadPixelDataToTexture = function (e, t) {
+    this.throwIfDisposed(), uploadPixelDataToTexture(this.gl, e, t);
+  }, e.prototype.createPackedMatrixTexture = function (e, t) {
+    return this.throwIfDisposed(), createPackedMatrixTexture(this.gl, e, t, this.textureConfig);
+  }, e.prototype.deleteMatrixTexture = function (e) {
+    var t = this;this.throwIfDisposed(), this.outputTexture === e && (unbindColorTextureFromFramebuffer(this.gl, this.framebuffer), this.outputTexture = null), callAndCheck(this.gl, function () {
+      return t.gl.deleteTexture(e);
+    });
+  }, e.prototype.uploadMatrixToTexture = function (e, t, n, r) {
+    this.throwIfDisposed();var a = getNumChannels();return uploadMatrixToTexture(this.gl, e, t, n, r, a, this.textureConfig);
+  }, e.prototype.uploadMatrixToPackedTexture = function (e, t, n, r) {
+    return this.throwIfDisposed(), uploadMatrixToPackedTexture(this.gl, e, t, n, r, this.textureConfig);
+  }, e.prototype.downloadFloat32MatrixFromOutputTexture = function (e, t, n) {
+    var r = this;return this.downloadMatrixDriver(e, function () {
+      return downloadFloat32MatrixFromOutputTexture(r.gl, t, n, r.textureConfig);
+    });
+  }, e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture = function (e, t, n) {
+    var r = this;return this.downloadMatrixDriver(e, function () {
+      return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl, t, n, r.textureConfig);
+    });
+  }, e.prototype.downloadMatrixFromTextureAsync = function (e, t, n) {
+    return __awaiter(this, void 0, void 0, function () {
+      var r = this;return __generator(this, function (a) {
+        if (null == this.getBufferSubDataAsyncExtension) throw new Error("Cannot download matrix from output texture asynchronously, WEBGL_get_buffer_sub_data_async is not enabled.");return [2, this.downloadMatrixDriverAsync(e, function () {
+          return downloadMatrixFromOutputTextureAsync(r.gl, r.getBufferSubDataAsyncExtension, t, n, r.textureConfig);
+        })];
+      });
+    });
+  }, e.prototype.downloadMatrixFromPackedTexture = function (e, t, n) {
+    var r = this;return this.downloadMatrixDriver(e, function () {
+      return downloadMatrixFromPackedOutputTexture(r.gl, t, n, r.textureConfig);
+    });
+  }, e.prototype.createProgram = function (e) {
+    this.throwIfDisposed();var t = this.gl,
+        n = createFragmentShader(t, e),
+        r = createVertexShader$1(t),
+        a = createProgram(t);return callAndCheck(t, function () {
+      return t.attachShader(a, r);
+    }), callAndCheck(t, function () {
+      return t.attachShader(a, n);
+    }), linkProgram(t, a), this.autoDebugValidate && validateProgram(t, a), this.vertexAttrsAreBound || (this.setProgram(a), this.vertexAttrsAreBound = bindVertexProgramAttributeStreams(t, this.program, this.vertexBuffer)), a;
+  }, e.prototype.deleteProgram = function (e) {
+    var t = this;this.throwIfDisposed(), e === this.program && (this.program = null), null != e && callAndCheck(this.gl, function () {
+      return t.gl.deleteProgram(e);
+    });
+  }, e.prototype.setProgram = function (e) {
+    var t = this;this.throwIfDisposed(), this.program = e, null != this.program && this.autoDebugValidate && validateProgram(this.gl, this.program), callAndCheck(this.gl, function () {
+      return t.gl.useProgram(e);
+    });
+  }, e.prototype.getUniformLocation = function (e, t, n) {
+    return void 0 === n && (n = !0), this.throwIfDisposed(), n ? getProgramUniformLocationOrThrow(this.gl, e, t) : getProgramUniformLocation(this.gl, e, t);
+  }, e.prototype.getAttributeLocation = function (e, t) {
+    var n = this;return this.throwIfDisposed(), callAndCheck(this.gl, function () {
+      return n.gl.getAttribLocation(e, t);
+    });
+  }, e.prototype.getUniformLocationNoThrow = function (e, t) {
+    return this.throwIfDisposed(), this.gl.getUniformLocation(e, t);
+  }, e.prototype.setInputMatrixTexture = function (e, t, n) {
+    this.throwIfDisposed(), this.throwIfNoProgram(), bindTextureToProgramUniformSampler(this.gl, this.program, e, t, n);
+  }, e.prototype.setOutputMatrixTexture = function (e, t, n) {
+    this.setOutputMatrixTextureDriver(e, n, t);
+  }, e.prototype.setOutputPackedMatrixTexture = function (e, t, n) {
+    this.throwIfDisposed();var r = getPackedMatrixTextureShapeWidthHeight(t, n),
+        a = r[0],
+        o = r[1];this.setOutputMatrixTextureDriver(e, a, o);
+  }, e.prototype.setOutputMatrixWriteRegion = function (e, t, n, r) {
+    this.setOutputMatrixWriteRegionDriver(n, e, r, t);
+  }, e.prototype.setOutputPackedMatrixWriteRegion = function (e, t, n, r) {
+    throw new Error("setOutputPackedMatrixWriteRegion not implemented.");
+  }, e.prototype.debugValidate = function () {
+    null != this.program && validateProgram(this.gl, this.program), validateFramebuffer(this.gl);
+  }, e.prototype.executeProgram = function () {
+    this.throwIfDisposed(), this.throwIfNoProgram();var e = this.gl;this.autoDebugValidate && this.debugValidate(), callAndCheck(e, function () {
+      return e.drawElements(e.TRIANGLES, 6, e.UNSIGNED_SHORT, 0);
+    });
+  }, e.prototype.blockUntilAllProgramsCompleted = function () {
+    var e = this;this.throwIfDisposed(), callAndCheck(this.gl, function () {
+      return e.gl.finish();
+    });
+  }, e.prototype.getQueryTimerExtension = function () {
+    return null == this.disjointQueryTimerExtension && (this.disjointQueryTimerExtension = getExtensionOrThrow(this.gl, 2 === ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") ? "EXT_disjoint_timer_query_webgl2" : "EXT_disjoint_timer_query")), this.disjointQueryTimerExtension;
+  }, e.prototype.getQueryTimerExtensionWebGL2 = function () {
+    return this.getQueryTimerExtension();
+  }, e.prototype.getQueryTimerExtensionWebGL1 = function () {
+    return this.getQueryTimerExtension();
+  }, e.prototype.runQuery = function (e) {
+    var t = this.beginQuery();return e(), this.endQuery(), this.pollQueryTime(t);
+  }, e.prototype.beginQuery = function () {
+    if (2 === ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")) {
+      var e = this.gl,
+          t = this.getQueryTimerExtensionWebGL2(),
+          n = e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT, n), n;
+    }var r = this.getQueryTimerExtensionWebGL1(),
+        a = r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT, a), a;
+  }, e.prototype.endQuery = function () {
+    if (2 !== ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")) {
+      var e = this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT);
+    } else {
+      var t = this.gl,
+          n = this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT);
+    }
+  }, e.prototype.isQueryAvailable = function (e, t) {
+    if (0 === t) return !0;if (2 === t) {
+      var n = this.gl,
+          r = this.getQueryTimerExtensionWebGL2(),
+          a = n.getQueryParameter(e, n.QUERY_RESULT_AVAILABLE);return null == this.disjoint && (this.disjoint = this.gl.getParameter(r.GPU_DISJOINT_EXT)), a && !this.disjoint;
+    }a = (r = this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e, r.QUERY_RESULT_AVAILABLE_EXT);return null == this.disjoint && (this.disjoint = this.gl.getParameter(r.GPU_DISJOINT_EXT)), a && !this.disjoint;
+  }, e.prototype.pollQueryTime = function (e) {
+    var t = this;return new Promise(function (n) {
+      var r = ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION");t.addItemToPoll(function () {
+        return t.isQueryAvailable(e, r);
+      }, function () {
+        return n(t.getQueryTime(e, r));
+      });
+    });
+  }, e.prototype.pollItems = function () {
+    for (var e = binSearchLastTrue(this.itemsToPoll.map(function (e) {
+      return e.isDoneFn;
+    })), t = 0; t <= e; ++t) {
+      (0, this.itemsToPoll[t].resolveFn)();
+    }this.itemsToPoll = this.itemsToPoll.slice(e + 1);
+  }, e.prototype.addItemToPoll = function (e, t) {
+    var n = this;this.itemsToPoll.push({ isDoneFn: e, resolveFn: t }), this.itemsToPoll.length > 1 || repeatedTry(function () {
+      return n.pollItems(), 0 === n.itemsToPoll.length;
+    });
+  }, e.prototype.getQueryTime = function (e, t) {
+    if (0 === t) return null;if (2 === t) {
+      var n = this.gl;return n.getQueryParameter(e, n.QUERY_RESULT) / 1e6;
+    }var r = this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e, r.QUERY_RESULT_EXT) / 1e6;
+  }, e.prototype.downloadMatrixDriverSetup = function (e) {
+    this.throwIfDisposed(), bindColorTextureToFramebuffer(this.gl, e, this.framebuffer), this.autoDebugValidate && validateFramebuffer(this.gl);
+  }, e.prototype.downloadMatrixDriverTeardown = function () {
+    null != this.outputTexture ? (bindColorTextureToFramebuffer(this.gl, this.outputTexture, this.framebuffer), this.autoDebugValidate && validateFramebuffer(this.gl)) : unbindColorTextureFromFramebuffer(this.gl, this.framebuffer);
+  }, e.prototype.downloadMatrixDriver = function (e, t) {
+    this.downloadMatrixDriverSetup(e);var n = t();return this.downloadMatrixDriverTeardown(), n;
+  }, e.prototype.downloadMatrixDriverAsync = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n;return __generator(this, function (r) {
+        switch (r.label) {case 0:
+            return this.downloadMatrixDriverSetup(e), [4, t()];case 1:
+            return n = r.sent(), this.downloadMatrixDriverTeardown(), [2, n];}
+      });
+    });
+  }, e.prototype.setOutputMatrixTextureDriver = function (e, t, n) {
+    this.throwIfDisposed();var r = this.gl;bindColorTextureToFramebuffer(r, e, this.framebuffer), this.autoDebugValidate && validateFramebuffer(r), this.outputTexture = e, callAndCheck(r, function () {
+      return r.viewport(0, 0, t, n);
+    }), callAndCheck(r, function () {
+      return r.scissor(0, 0, t, n);
+    });
+  }, e.prototype.setOutputMatrixWriteRegionDriver = function (e, t, n, r) {
+    var a = this;this.throwIfDisposed(), callAndCheck(this.gl, function () {
+      return a.gl.scissor(e, t, n, r);
+    });
+  }, e.prototype.throwIfDisposed = function () {
+    if (this.disposed) throw new Error("Attempted to use disposed GPGPUContext.");
+  }, e.prototype.throwIfNoProgram = function () {
+    if (null == this.program) throw new Error("No GPU program is currently set.");
+  }, e;
+}();function binSearchLastTrue(e) {
+  for (var t = 0, n = e.length - 1, r = -1; t <= n;) {
+    var a = t + n >> 1;e[a]() ? (r = a, t = a + 1) : n = a - 1;
+  }return r;
+}function compileProgram(e, t, n, r) {
+  for (var a = t.userCode, o = n.map(function (e, n) {
+    var r = { logicalShape: e.tensor.shape, texShape: e.isUniform ? null : e.texData.texShape, isUniform: e.isUniform };return { name: t.variableNames[n], shapeInfo: r };
+  }), i = o.map(function (e) {
+    return e.shapeInfo;
+  }), s = { logicalShape: r.tensor.shape, texShape: r.texData.texShape, isUniform: !1 }, u = makeShader(o, s, a, !0 === t.supportsBroadcasting), l = e.createProgram(u), c = {}, d = 0; d < t.variableNames.length; d++) {
+    var p = t.variableNames[d];c[p] = e.getUniformLocation(l, p, !1);
+  }return { program: t, source: u, webGLProgram: l, uniformLocations: c, gpgpu: e, inShapeInfos: i, outShapeInfo: s };
+}function validateBinaryAndProgram(e, t) {
+  if (e.length !== t.length) throw Error("Binary was compiled with " + e.length + " inputs, but was executed with " + t.length + " inputs");e.forEach(function (e, n) {
+    var r = e.logicalShape,
+        a = t[n],
+        o = a.tensor.shape;if (!arraysEqual(r, o)) throw Error("Binary was compiled with different shapes than the current args. Shapes " + r + " and " + o + " must match");if (!e.isUniform || !a.isUniform) {
+      var i = e.texShape,
+          s = a.isUniform ? null : a.texData.texShape;if (!arraysEqual(i, s)) throw Error("Binary was compiled with different texture shapes than the current args. Shape " + i + " and " + s + " must match");
+    }
+  });
+}function runProgram(e, t, n, r) {
+  validateBinaryAndProgram(e.inShapeInfos, t), validateBinaryAndProgram([e.outShapeInfo], [n]);var a = n.texData.texture,
+      o = n.texData.texShape,
+      i = e.gpgpu;i.setOutputMatrixTexture(a, o[0], o[1]), i.setProgram(e.webGLProgram), t.forEach(function (t, n) {
+    var r = e.program.variableNames[n],
+        a = e.uniformLocations[r];if (null != a) {
+      if (t.isUniform) {
+        if (1 === t.tensor.size) i.gl.uniform1f(a, t.tensor.dataSync()[0]);else {
+          var o = t.tensor.dataSync();o instanceof Float32Array || (o = new Float32Array(o)), i.gl.uniform1fv(a, o);
+        }return;
+      }var s = t.texData.texture;i.setInputMatrixTexture(s, a, n);
+    }
+  }), null != r && r(i, e.webGLProgram), i.executeProgram();
+}function makeShaderKey(e, t, n) {
+  var r = "";t.concat(n).forEach(function (e) {
+    r += e.tensor.shape + "_" + (e.isUniform ? "uniform" : e.texData.texShape);
+  });var a = e.userCode,
+      o = (!0 === e.supportsBroadcasting).toString(),
+      i = e.constructor.name;return i += "_" + o + "_" + r + "_" + a;
+}var WhereProgram = function () {
+  return function (e, t, n) {
+    var r, a;if (this.variableNames = ["c", "a", "b"], this.outputShape = t, n > 4) throw Error("Where for rank " + n + " is not yet supported");if (1 === n) a = "resRC", r = "resRC";else {
+      for (var o = ["resRC.x", "resRC.y", "resRC.z", "resRC.w"], i = [], s = [], u = 0; u < t.length; u++) s.push("" + o[u]), u < e && i.push("" + o[u]);r = i.join(), a = s.join();
+    }var l = getCoordsDataType(n);this.userCode = "\n      void main() {\n        " + l + " resRC = getOutputCoords();\n        float cVal = getC(" + r + ");\n        if (cVal >= 1.0) {\n          setOutput(getA(" + a + "));\n        } else {\n          setOutput(getB(" + a + "));\n        }\n      }\n    ";
+  };
+}(),
+    LRNProgram = function () {
+  return function (e, t, n, r, a) {
+    this.variableNames = ["x"], this.outputShape = [];var o,
+        i = t,
+        s = e[3] - 1;this.outputShape = e;var u = "float(" + n + ") + float(" + r + ") * sum";o = .5 === a ? "inversesqrt(" + u + ")" : 1 === a ? "1.0/(" + u + ")" : "exp(log(" + u + ") * float(-" + a + "));", this.userCode = "\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -" + i + "; j <= " + i + "; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  " + s + ") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * " + o + ";\n        setOutput(val);\n      }\n    ";
+  };
+}(),
+    MaxPool2DBackpropProgram = function () {
+  return function (e) {
+    this.variableNames = ["dy", "maxPos"], this.outputShape = e.inShape;var t = e.filterHeight,
+        n = e.filterWidth,
+        r = e.strideHeight,
+        a = e.strideWidth,
+        o = t - 1 - e.padInfo.top,
+        i = n - 1 - e.padInfo.left,
+        s = t * n - 1;this.userCode = "\n      const ivec2 pads = ivec2(" + o + ", " + i + ");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < " + t + "; wR++) {\n          float dyR = float(dyRCorner + wR) / " + r + ".0;\n\n          if (dyR < 0.0 || dyR >= " + e.outHeight + ".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < " + n + "; wC++) {\n            float dyC = float(dyCCorner + wC) / " + a + ".0;\n\n            if (dyC < 0.0 || dyC >= " + e.outWidth + ".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = " + s + " - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * " + n + " + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ";
+  };
+}(),
+    MatMulProgram = function () {
+  return function (e, t, n, r) {
+    void 0 === n && (n = !1), void 0 === r && (r = !1), this.variableNames = ["matrixA", "matrixB"];var a = n ? e[1] : e[0],
+        o = r ? t[0] : t[1],
+        i = n ? e[0] : e[1];this.outputShape = [a, o];var s = function (e, t) {
+      return n ? t + " + " + e + ", aRow" : "aRow, " + t + " + " + e;
+    },
+        u = function (e, t) {
+      return r ? "bCol, " + t + " + " + e : t + " + " + e + ", bCol";
+    },
+        l = 4 * Math.floor(i / 4),
+        c = i % 4;this.userCode = " float dotARowBCol(int aRow, int bCol) {\n      float result = 0.0;\n      for (int i = 0; i < " + l + "; i += 4) {\n        vec4 a = vec4(\n          getMatrixA(" + s(0, "i") + "),\n          getMatrixA(" + s(1, "i") + "),\n          getMatrixA(" + s(2, "i") + "),\n          getMatrixA(" + s(3, "i") + ")\n        );\n        vec4 b = vec4(\n          getMatrixB(" + u(0, "i") + "),\n          getMatrixB(" + u(1, "i") + "),\n          getMatrixB(" + u(2, "i") + "),\n          getMatrixB(" + u(3, "i") + ")\n        );\n\n        result += dot(a, b);\n      }\n\n      if (" + (1 === c) + ") {\n        result += getMatrixA(" + s(0, l) + ") *\n          getMatrixB(" + u(0, l) + ");\n      } else if (" + (2 === c) + ") {\n        vec2 a = vec2(\n          getMatrixA(" + s(0, l) + "),\n          getMatrixA(" + s(1, l) + ")\n        );\n        vec2 b = vec2(\n          getMatrixB(" + u(0, l) + "),\n          getMatrixB(" + u(1, l) + ")\n        );\n        result += dot(a, b);\n      } else if (" + (3 === c) + ") {\n        vec3 a = vec3(\n          getMatrixA(" + s(0, l) + "),\n          getMatrixA(" + s(1, l) + "),\n          getMatrixA(" + s(2, l) + ")\n        );\n        vec3 b = vec3(\n          getMatrixB(" + u(0, l) + "),\n          getMatrixB(" + u(1, l) + "),\n          getMatrixB(" + u(2, l) + ")\n        );\n        result += dot(a, b);\n      }\n\n      return result;\n    }\n\n    void main() {\n      ivec2 resRC = getOutputCoords();\n      setOutput(dotARowBCol(resRC.x, resRC.y));\n    }\n    ";
+  };
+}(),
+    MultinomialProgram = function () {
+  function e(e, t, n) {
+    this.variableNames = ["probs"], this.outputShape = [e, n], this.userCode = "\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < " + (t - 1) + "; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(" + (t - 1) + "));\n      }\n    ";
+  }return e.prototype.getCustomSetupFunc = function (e) {
+    var t = this;return function (n, r) {
+      null == t.seedLoc && (t.seedLoc = n.getUniformLocation(r, "seed")), n.gl.uniform1f(t.seedLoc, e);
+    };
+  }, e;
+}(),
+    OneHotProgram = function () {
+  return function (e, t, n, r) {
+    this.variableNames = ["indices"], this.outputShape = [e, t], this.userCode = "\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(" + r + "), float(" + n + "),\n                      float(index == coords.y)));\n      }\n    ";
+  };
+}(),
+    PadProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["x"], this.outputShape = t.map(function (t, n) {
+      return t[0] + e[n] + t[1];
+    });var r = e.length,
+        a = getCoordsDataType(r),
+        o = t.map(function (e) {
+      return e[0];
+    }).join(","),
+        i = t.map(function (t, n) {
+      return t[0] + e[n];
+    }).join(","),
+        s = ["coords[0]", "coords[1]", "coords[2]", "coords[3]"].slice(0, r);this.userCode = 1 !== r ? "\n      " + a + " start = " + a + "(" + o + ");\n      " + a + " end = " + a + "(" + i + ");\n\n      void main() {\n        " + a + " outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(" + n + "));\n        } else {\n          " + a + " coords = outC - start;\n          setOutput(getX(" + s + "));\n        }\n      }\n    " : "\n        int start = " + o + ";\n        int end = " + i + ";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(" + n + "));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      ";
+  };
+}(),
+    Pool2DProgram = function () {
+  return function (e, t, n) {
+    if (this.variableNames = ["x"], "avg" === t && n) throw new Error("Cannot compute positions for average pool.");var r = e.filterHeight,
+        a = e.filterWidth,
+        o = e.strideHeight,
+        i = e.strideWidth,
+        s = e.padInfo.top,
+        u = e.padInfo.left;this.outputShape = e.outShape;var l = "avg" === t,
+        c = "0.0";if (l || (c = "-1.0 / 0.0"), n) this.userCode = "\n        const ivec2 strides = ivec2(" + o + ", " + i + ");\n        const ivec2 pads = ivec2(" + s + ", " + u + ");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < " + r + "; wR++) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= " + e.inHeight + ") {\n              continue;\n            }\n\n            for (int wC = 0; wC < " + a + "; wC++) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= " + e.inWidth + ") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * " + a + " + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else {
+      var d = t + "(" + t + "(" + t + "(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg" === t && (d = "avgValue / count");var p = 4 * Math.floor(a / 4),
+          h = a % 4,
+          f = "\n      if (" + l + ") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode = "\n      const ivec2 strides = ivec2(" + o + ", " + i + ");\n      const ivec2 pads = ivec2(" + s + ", " + u + ");\n      const float initializationValue = " + c + ";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= " + e.inWidth + ") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(" + c + ");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < " + r + "; wR++) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= " + e.inHeight + ") {\n            continue;\n          }\n\n          for (int wC = 0; wC < " + p + "; wC += 4) {\n            int xC = xCCorner + wC;\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + 1, d),\n              getValue(batch, xR, xC + 2, d),\n              getValue(batch, xR, xC + 3, d)\n            );\n\n            " + f + "\n          }\n\n          int xC = xCCorner + " + p + ";\n          if (" + (1 === h) + ") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            " + f + "\n          } else if (" + (2 === h) + ") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + 1, d),\n              initializationValue,\n              initializationValue\n            );\n\n            " + f + "\n          } else if (" + (3 === h) + ") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + 1, d),\n              getValue(batch, xR, xC + 2, d),\n              initializationValue\n            );\n\n            " + f + "\n          }\n        }\n        setOutput(" + d + ");\n      }\n    ";
+    }
+  };
+}(),
+    ReduceProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["x"];var n = e.windowSize,
+        r = e.batchSize,
+        a = e.inSize,
+        o = Math.ceil(a / n);this.outputShape = [r, o];var i = "0.0",
+        s = "";"min" === t ? (i = "1.0 / 0.0", s = "min") : "max" === t && (i = "-1.0 / 0.0", s = "max");var u = t + "(" + t + "(" + t + "(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum" === t ? u = "sumValue" : "all" === t && (u = "allValue");var l = 4 * Math.floor(n / 4),
+        c = n % 4,
+        d = "\n      if (" + ("sum" === t) + ") {\n        sumValue += dot(values, ones);\n      } else {\n        minMaxValue = " + s + "(values, minMaxValue);\n      }\n    ",
+        p = "vec4";"all" === t && (i = "1.0", d = "\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ", p = "bvec4");var h = "";a % n > 0 && (h = "\n        if (inIdx < 0 || inIdx >= " + a + ") {\n          return initializationValue;\n        }\n      "), this.userCode = "\n      const float initializationValue = " + i + ";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        " + h + "\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * " + n + ";\n\n        vec4 minMaxValue = vec4(" + i + ");\n        float sumValue = 0.0;\n        float allValue = 1.0;\n\n        for (int i = 0; i < " + l + "; i += 4) {\n          int inIdx = inOffset + i;\n          " + p + " values = " + p + "(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          " + d + "\n        }\n\n        int inIdx = inOffset + " + l + ";\n        if (" + (1 === c) + ") {\n          " + p + " values = " + p + "(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          " + d + "\n        } else if (" + (2 === c) + ") {\n          " + p + " values = " + p + "(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          " + d + "\n        } else if (" + (3 === c) + ") {\n          " + p + " values = " + p + "(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          " + d + "\n        }\n        setOutput(" + u + ");\n      }\n    ";
+  };
+}(),
+    ResizeBilinearBackpropProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["dy"], this.outputShape = [], this.outputShape = t.shape;var r = t.shape,
+        a = r[1],
+        o = r[2],
+        i = e.shape,
+        s = i[1],
+        u = i[2],
+        l = [n && s > 1 ? a - 1 : a, n && u > 1 ? o - 1 : o],
+        c = [n && s > 1 ? s - 1 : s, n && u > 1 ? u - 1 : u],
+        d = l[0] / c[0],
+        p = l[1] / c[1],
+        h = 1 / d,
+        f = 1 / p,
+        g = 2 * Math.ceil(h) + 2,
+        m = 2 * Math.ceil(f) + 2;this.userCode = "\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(" + d + ");\n        const float widthScale = float(" + p + ");\n\n        const float invHeightScale = float(" + h + ");\n        const float invWidthScale = float(" + f + ");\n\n        const int winHeight = int(" + g + ");\n        const int winWidth = int(" + m + ");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= " + s + ") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= " + u + ") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), " + (a - 1) + ".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), " + (o - 1) + ".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    ";
+  };
+}(),
+    ResizeBilinearProgram = function () {
+  return function (e, t, n, r) {
+    this.variableNames = ["A"], this.outputShape = [];var a = e[0],
+        o = e[1],
+        i = e[2],
+        s = e[3];this.outputShape = [a, t, n, s];var u = [r && t > 1 ? o - 1 : o, r && n > 1 ? i - 1 : i],
+        l = [r && t > 1 ? t - 1 : t, r && n > 1 ? n - 1 : n];this.userCode = "\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          " + u[0] / l[0] + ",\n          " + u[1] / l[1] + ");\n      const vec2 inputShapeRC = vec2(" + o + ".0, " + i + ".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    ";
+  };
+}(),
+    ResizeNearestNeighborProgram = function () {
+  return function (e, t, n, r) {
+    this.variableNames = ["A"], this.outputShape = [];var a = e[0],
+        o = e[1],
+        i = e[2],
+        s = e[3];this.outputShape = [a, t, n, s];var u = r ? [o - 1, i - 1] : [o, i],
+        l = r ? [t - 1, n - 1] : [t, n],
+        c = r ? "0.5" : "0.0";this.userCode = "\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          " + u[0] / l[0] + ",\n          " + u[1] / l[1] + ");\n      const vec2 inputShapeRC = vec2(" + o + ".0, " + i + ".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + " + c + ")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ";
+  };
+}(),
+    ReverseProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["x"];var n = e.length;if (n > 4) throw new Error("WebGL backend: Reverse of rank-" + n + " tensor is not yet supported");if (this.outputShape = e, 1 !== n) {
+      var r = e.map(function (n, r) {
+        return function (n) {
+          return -1 !== t.indexOf(n) && 1 !== e[n] ? e[n] + " - coords[" + n + "] - 1" : "coords[" + n + "]";
+        }(r);
+      }).join(","),
+          a = getCoordsDataType(n);this.userCode = "\n      void main() {\n        " + a + " coords = getOutputCoords();\n        setOutput(getX(" + r + "));\n      }\n    ";
+    } else this.userCode = "\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(" + e[0] + " - coord - 1));\n        }\n      ";
+  };
+}(),
+    SegmentOpProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["x", "segmentIds"];var n = e.windowSize,
+        r = e.batchSize,
+        a = e.inSize,
+        o = e.numSegments,
+        i = o * Math.ceil(a / n);this.outputShape = [r, i];var s = 4 * Math.floor(n / 4),
+        u = n % 4,
+        l = "\n        sumValue += dot(values, filter);\n    ",
+        c = "";a % n > 0 && (c = "\n        if (inIdx < 0 || inIdx >= " + a + ") {\n          return initializationValue;\n        }\n      ");var d = "";a % n > 0 && (d = "\n        if (inIdx < 0 || inIdx >= " + a + ") {\n          return -1.0;\n        }\n      "), this.userCode = "\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        " + c + "\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        " + d + "\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          " + o + ")) * float(" + n + "));\n        int currentSeg = int(mod(float(outIdx), float(" + o + ")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < " + s + "; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          " + l + "\n        }\n\n        int inIdx = inOffset + " + s + ";\n        if (" + (1 === u) + ") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          " + l + "\n        } else if (" + (2 === u) + ") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          " + l + "\n        } else if (" + (3 === u) + ") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 filter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          " + l + "\n        }\n        setOutput(sumValue);\n      }\n    ";
+  };
+}(),
+    SliceProgram = function () {
+  function e(e) {
+    this.variableNames = ["source"], this.outputShape = e, this.rank = e.length;var t = getCoordsDataType(this.rank),
+        n = getCoords$1(this.rank);this.userCode = "\n      uniform " + t + " start;\n\n      void main() {\n        " + t + " sourceLoc = start + getOutputCoords();\n        setOutput(getSource(" + n + "));\n      }\n    ";
+  }return e.prototype.getCustomSetupFunc = function (e) {
+    var t = this;if (e.length !== this.rank) throw Error("The rank (" + this.rank + ") of the program must match the length of start (" + e.length + ")");return function (n, r) {
+      if (null != t.startLoc || (t.startLoc = n.getUniformLocationNoThrow(r, "start"), null != t.startLoc)) if (1 === t.rank) n.gl.uniform1i(t.startLoc, e[0]);else if (2 === t.rank) n.gl.uniform2i(t.startLoc, e[0], e[1]);else if (3 === t.rank) n.gl.uniform3i(t.startLoc, e[0], e[1], e[2]);else {
+        if (4 !== t.rank) throw Error("Slicing for rank " + t.rank + " is not yet supported");n.gl.uniform4i(t.startLoc, e[0], e[1], e[2], e[3]);
+      }
+    };
+  }, e;
+}();function getCoords$1(e) {
+  if (1 === e) return "sourceLoc";if (2 === e) return "sourceLoc.x, sourceLoc.y";if (3 === e) return "sourceLoc.x, sourceLoc.y, sourceLoc.z";if (4 === e) return "sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w";throw Error("Slicing for rank " + e + " is not yet supported");
+}var StridedSliceProgram = function () {
+  return function (e, t, n) {
+    this.variableNames = ["x"], this.outputShape = n, this.rank = n.length;var r = getCoordsDataType(this.rank),
+        a = "";a = 1 === this.rank ? "coords * strides + begin" : n.map(function (e, t) {
+      return "coords[" + t + "] * strides[" + t + "] + begin[" + t + "]";
+    }).join(","), this.userCode = "\n      " + r + " begin = " + r + "(" + e + ");\n      " + r + " strides = " + r + "(" + t + ");\n\n      void main() {\n        " + r + " coords = getOutputCoords();\n        setOutput(getX(" + a + "));\n      }\n    ";
+  };
+}(),
+    TextureManager = function () {
+  function e(e) {
+    this.gpgpu = e, this.numUsedTextures = 0, this.numFreeTextures = 0, this.freeTextures = {}, this.logEnabled = !1, this.usedTextures = {};
+  }return e.prototype.acquireTexture = function (e, t) {
+    var n,
+        r = getPhysicalFromLogicalTextureType(t),
+        a = getKeyFromTextureShape(e, r);if (a in this.freeTextures || (this.freeTextures[a] = []), a in this.usedTextures || (this.usedTextures[a] = []), this.freeTextures[a].length > 0) {
+      this.numFreeTextures--, this.numUsedTextures++, this.log();var o = this.freeTextures[a].shift();return this.usedTextures[a].push(o), o;
+    }return this.numUsedTextures++, this.log(), r === PhysicalTextureType.FLOAT32 ? n = this.gpgpu.createFloat32MatrixTexture(e[0], e[1]) : r === PhysicalTextureType.FLOAT16 ? n = this.gpgpu.createFloat16MatrixTexture(e[0], e[1]) : r === PhysicalTextureType.UNSIGNED_BYTE && (n = this.gpgpu.createUnsignedBytesMatrixTexture(e[0], e[1])), this.usedTextures[a].push(n), n;
+  }, e.prototype.releaseTexture = function (e, t, n) {
+    var r = getKeyFromTextureShape(t, getPhysicalFromLogicalTextureType(n));r in this.freeTextures || (this.freeTextures[r] = []), this.freeTextures[r].push(e), this.numFreeTextures++, this.numUsedTextures--;var a = this.usedTextures[r],
+        o = a.indexOf(e);if (o < 0) throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(o, 1), this.log();
+  }, e.prototype.log = function () {
+    if (this.logEnabled) {
+      var e = this.numFreeTextures + this.numUsedTextures;console.log("Free/Used", this.numFreeTextures + " / " + this.numUsedTextures, "(" + e + ")");
+    }
+  }, e.prototype.getNumUsedTextures = function () {
+    return this.numUsedTextures;
+  }, e.prototype.getNumFreeTextures = function () {
+    return this.numFreeTextures;
+  }, e.prototype.dispose = function () {
+    var e = this;if (null != this.freeTextures) {
+      for (var t in this.freeTextures) this.freeTextures[t].forEach(function (t) {
+        e.gpgpu.deleteMatrixTexture(t);
+      });for (var t in this.usedTextures) this.usedTextures[t].forEach(function (t) {
+        e.gpgpu.deleteMatrixTexture(t);
+      });this.freeTextures = null, this.usedTextures = null, this.numUsedTextures = 0, this.numFreeTextures = 0;
+    }
+  }, e;
+}();function getPhysicalFromLogicalTextureType(e) {
+  if (e === TextureUsage.DOWNLOAD || e === TextureUsage.PIXELS) return PhysicalTextureType.UNSIGNED_BYTE;if (e === TextureUsage.UPLOAD) return PhysicalTextureType.FLOAT32;if (e === TextureUsage.RENDER) return ENV.get("WEBGL_RENDER_FLOAT32_ENABLED") ? PhysicalTextureType.FLOAT32 : PhysicalTextureType.FLOAT16;throw new Error("Unknown logical texture type " + e);
+}function getKeyFromTextureShape(e, t) {
+  return e[0] + "_" + e[1] + "_" + t;
+}var TileProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["A"];for (var n = new Array(e.length), r = 0; r < n.length; r++) n[r] = e[r] * t[r];this.outputShape = n, this.rank = n.length;var a = getCoordsDataType(this.rank),
+        o = getSourceCoords$1(e);this.userCode = "\n      void main() {\n        " + a + " resRC = getOutputCoords();\n        setOutput(getA(" + o + "));\n      }\n    ";
+  };
+}();function getSourceCoords$1(e) {
+  var t = e.length;if (t > 5) throw Error("Tile for rank " + t + " is not yet supported");if (1 === t) return "imod(resRC, " + e[0] + ")";for (var n = ["resRC.x", "resRC.y", "resRC.z", "resRC.w", "resRC.u"], r = [], a = 0; a < e.length; a++) r.push("imod(" + n[a] + ", " + e[a] + ")");return r.join();
+}var TransposeProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["A"];for (var n = new Array(e.length), r = 0; r < n.length; r++) n[r] = e[t[r]];this.outputShape = n, this.rank = n.length;var a = getCoordsDataType(this.rank),
+        o = getSwitchedCoords(t);this.userCode = "\n    void main() {\n      " + a + " resRC = getOutputCoords();\n      setOutput(getA(" + o + "));\n    }\n    ";
+  };
+}();function getSwitchedCoords(e) {
+  var t = e.length;if (t > 6) throw Error("Transpose for rank " + t + " is not yet supported");for (var n = ["resRC.x", "resRC.y", "resRC.z", "resRC.w", "resRC.u", "resRC.v"], r = new Array(t), a = 0; a < e.length; a++) r[e[a]] = n[a];return r.join();
+}var ERF_P = .3275911,
+    ERF_A1 = .254829592,
+    ERF_A2 = -.284496736,
+    ERF_A3 = 1.421413741,
+    ERF_A4 = -1.453152027,
+    ERF_A5 = 1.061405429,
+    UnaryOpProgram = function () {
+  return function (e, t) {
+    this.variableNames = ["A"], this.outputShape = e, this.userCode = "\n      float unaryOperation(float x) {\n        " + t + "\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ";
+  };
+}(),
+    CHECK_NAN_SNIPPET$1 = "if (isNaN(x)) return x;",
+    ABS = "return abs(x);",
+    RELU = CHECK_NAN_SNIPPET$1 + "\n  return (x < 0.0) ? 0.0 : x;\n",
+    ELU = "return (x >= 0.0) ? x : (exp(x) - 1.0);",
+    SELU = "\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = " + SELU_SCALEALPHA + ";\n  float scale = " + SELU_SCALE + ";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";function STEP(e) {
+  return void 0 === e && (e = 0), CHECK_NAN_SNIPPET$1 + "\n    return x > 0.0 ? 1.0 : float(" + e + ");\n  ";
+}var NEG = "return -x;",
+    CEIL = "return ceil(x);",
+    FLOOR = "return floor(x);",
+    SIGN = "\n  if (isNaN(x)) { return 0.0; }\n  return sign(x);\n",
+    ROUND = "\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n",
+    EXP = "return exp(x);",
+    EXPM1 = "return exp(x) - 1.0;",
+    LOG = "return log(x);",
+    LOG1P = "return log(1.0 + x);",
+    SQRT = "return sqrt(x);",
+    RSQRT = "return inversesqrt(x);",
+    SIGMOID = "return 1.0 / (1.0 + exp(-1.0 * x));",
+    SOFTPLUS = "\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n",
+    SIN = CHECK_NAN_SNIPPET$1 + "\n  return sin(x);\n",
+    COS = CHECK_NAN_SNIPPET$1 + "\n  return cos(x);\n",
+    TAN = "return tan(x);",
+    ASIN = "return asin(x);",
+    ACOS = "return acos(x);",
+    ATAN = CHECK_NAN_SNIPPET$1 + "\n  return atan(x);\n",
+    SINH = "\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n",
+    COSH = "\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n",
+    TANH = "\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n",
+    ASINH = "return log(x + sqrt(x * x + 1.0));",
+    ACOSH = "return log(x + sqrt(x * x - 1.0));",
+    ATANH = "return (log(1.0 + x) - log(1.0 - x)) / 2.0;",
+    ERF = '\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = ' + ERF_P + ";\n  float a1 = " + ERF_A1 + ";\n  float a2 = " + ERF_A2 + ";\n  float a3 = " + ERF_A3 + ";\n  float a4 = " + ERF_A4 + ";\n  float a5 = " + ERF_A5 + ";\n\n  float t = 1.0 / (1.0 + p * x);\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\n",
+    SQUARE = "return x * x;",
+    RECIPROCAL = "return 1.0 / x;",
+    LOGICAL_NOT = "return float(!(x >= 1.0));",
+    TO_INT = "return float(int(x));",
+    BEFORE_PAGING_CONSTANT = 300,
+    SIZE_UPLOAD_UNIFORM = 32,
+    MathBackendWebGL = function () {
+  function e(e, t) {
+    if (void 0 === t && (t = !0), this.gpgpu = e, this.delayedStorage = t, this.texData = new WeakMap(), this.pendingRead = new WeakMap(), this.pendingDisposal = new WeakSet(), this.lruDataGPU = [], this.numBytesInGPU = 0, this.uploadWaitMs = 0, this.downloadWaitMs = 0, this.binaryCache = {}, this.disposed = !1, ENV.get("WEBGL_VERSION") < 1) throw new Error("WebGL is not supported on this device");ENV.get("IS_BROWSER") && (this.canvas = document.createElement("canvas")), null == e ? (this.gpgpu = new GPGPUContext(createWebGLContext(this.canvas)), this.gpgpuCreatedLocally = !0) : this.gpgpuCreatedLocally = !1, this.NUM_BYTES_BEFORE_PAGING = window.screen.height * window.screen.width * window.devicePixelRatio * BEFORE_PAGING_CONSTANT, this.textureManager = new TextureManager(this.gpgpu);
+  }return e.prototype.register = function (e, t, n) {
+    if (this.texData.has(e)) throw new Error("Data buffer is already registered");this.texData.set(e, { shape: t, dtype: n, values: null, texture: null, texShape: null, usage: TextureUsage.RENDER });
+  }, e.prototype.fromPixels = function (e, t) {
+    if (null == e) throw new Error("MathBackendWebGL.writePixels(): pixels can not be null");var n = [e.height, e.width],
+        r = [e.height, e.width, t];if (e instanceof HTMLVideoElement) {
+      if (null == this.fromPixelsCanvas) {
+        if (!ENV.get("IS_BROWSER")) throw new Error("Can't read pixels from HTMLImageElement outside the browser.");if ("complete" !== document.readyState) throw new Error("The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object");this.fromPixelsCanvas = document.createElement("canvas");
+      }this.fromPixelsCanvas.width = e.width, this.fromPixelsCanvas.height = e.height, this.fromPixelsCanvas.getContext("2d").drawImage(e, 0, 0, e.width, e.height), e = this.fromPixelsCanvas;
+    }var a = Tensor.make(n, {}, "int32");this.texData.get(a.dataId).usage = TextureUsage.PIXELS, this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId), e);var o = new FromPixelsProgram(r),
+        i = this.compileAndRun(o, [a]);return a.dispose(), i;
+  }, e.prototype.write = function (e, t) {
+    if (null == t) throw new Error("MathBackendWebGL.write(): values can not be null");this.throwIfNoData(e);var n = this.texData.get(e),
+        r = n.texture,
+        a = n.texShape,
+        o = n.usage;null != r && (this.releaseTexture(e, r, a, o), n.texture = null, n.texShape = null), n.usage = TextureUsage.UPLOAD, n.values = t, this.delayedStorage || this.uploadToGPU(e);
+  }, e.prototype.readSync = function (e) {
+    this.throwIfNoData(e);var t = this.texData.get(e),
+        n = t.shape,
+        r = t.texture,
+        a = t.values,
+        o = t.texShape,
+        i = t.dtype;if (null != a) return this.cacheOnCPU(e), a;var s,
+        u,
+        l = null != this.activeTimers;if (l && (s = performance.now()), ENV.get("WEBGL_DOWNLOAD_FLOAT_ENABLED")) u = this.gpgpu.downloadFloat32MatrixFromOutputTexture(r, o[0], o[1]);else {
+      var c = Tensor.make(n, {});this.texData.get(c.dataId).usage = TextureUsage.DOWNLOAD;var d = Tensor.make(n, { dataId: e }, i),
+          p = new EncodeFloatProgram(n),
+          h = this.compileAndRun(p, [d], c),
+          f = this.texData.get(c.dataId);u = this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture, f.texShape[0], f.texShape[1]), h.dispose(), d.dispose(), c.dispose();
+    }return l && (this.downloadWaitMs += performance.now() - s), this.cacheOnCPU(e, u), t.values;
+  }, e.prototype.read = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n, r, a, o, i, s, u;return __generator(this, function (l) {
+        switch (l.label) {case 0:
+            return this.pendingRead.has(e) ? (t = this.pendingRead.get(e), [2, new Promise(function (e) {
+              return t.push(e);
+            })]) : (this.throwIfNoData(e), n = this.texData.get(e), r = n.texture, a = n.values, o = n.texShape, null != a ? (this.cacheOnCPU(e), [2, a]) : ENV.get("WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED") ? [4, this.gpgpu.downloadMatrixFromTextureAsync(r, o[0], o[1])] : [3, 2]);case 1:
+            return i = l.sent(), this.cacheOnCPU(e, i), [2, n.values];case 2:
+            return 0 === ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") ? [2, this.readSync(e)] : (this.pendingRead.set(e, []), [4, this.gpgpu.runQuery(function () {})]);case 3:
+            return l.sent(), s = this.pendingRead.get(e), this.pendingRead.delete(e), u = this.readSync(e), s.forEach(function (e) {
+              return e(u);
+            }), this.pendingDisposal.has(e) && (this.pendingDisposal.delete(e), this.disposeData(e)), [2, u];}
+      });
+    });
+  }, e.prototype.time = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n, r, a, o, i;return __generator(this, function (s) {
+        switch (s.label) {case 0:
+            return t = this.activeTimers, n = [], r = !1, null == this.programTimersStack ? (this.programTimersStack = n, r = !0) : this.activeTimers.push(n), this.activeTimers = n, e(), a = flatten(this.activeTimers), this.activeTimers = t, r && (this.programTimersStack = null), [4, Promise.all(a).then(function (e) {
+              var t = 0;return e.forEach(function (e) {
+                return t += e;
+              }), t;
+            })];case 1:
+            return o = s.sent(), i = { uploadWaitMs: this.uploadWaitMs, downloadWaitMs: this.downloadWaitMs, kernelMs: o, wallMs: null }, this.uploadWaitMs = 0, this.downloadWaitMs = 0, [2, i];}
+      });
+    });
+  }, e.prototype.memory = function () {
+    return { unreliable: !1, numBytesInGPU: this.numBytesInGPU };
+  }, e.prototype.startTimer = function () {
+    return ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 ? this.gpgpu.beginQuery() : { startMs: performance.now(), endMs: null };
+  }, e.prototype.endTimer = function (e) {
+    return ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 ? (this.gpgpu.endQuery(), e) : (e.endMs = performance.now(), e);
+  }, e.prototype.getQueryTime = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t;return __generator(this, function (n) {
+        return ENV.get("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION") > 0 ? [2, this.gpgpu.pollQueryTime(e)] : [2, (t = e).endMs - t.startMs];
+      });
+    });
+  }, e.prototype.disposeData = function (e) {
+    if (!this.pendingDisposal.has(e)) if (this.pendingRead.has(e)) this.pendingDisposal.add(e);else if (this.texData.has(e)) {
+      var t = this.texData.get(e),
+          n = t.texture,
+          r = t.texShape,
+          a = t.usage;null != n && this.releaseTexture(e, n, r, a), this.texData.delete(e);
+    }
+  }, e.prototype.getTexture = function (e) {
+    return this.uploadToGPU(e), this.texData.get(e).texture;
+  }, e.prototype.getGPGPUContext = function () {
+    return this.gpgpu;
+  }, e.prototype.getCanvas = function () {
+    return this.canvas;
+  }, e.prototype.slice = function (e, t, n) {
+    var r = new SliceProgram(n),
+        a = r.getCustomSetupFunc(t);return this.compileAndRun(r, [e], null, a);
+  }, e.prototype.stridedSlice = function (e, t, n, r, a, o) {
+    var i = getStridedSlicedInfo(e.shape, t, n, r, a, o),
+        s = i[0],
+        u = i[1];if (u.some(function (e) {
+      return 0 === e;
+    })) return tensor([], u);var l = new StridedSliceProgram(s, r, u);return this.compileAndRun(l, [e]);
+  }, e.prototype.reverse = function (e, t) {
+    var n = new ReverseProgram(e.shape, t);return this.compileAndRun(n, [e]);
+  }, e.prototype.concat = function (e, t) {
+    var n = new ConcatProgram(e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.neg = function (e) {
+    var t = new UnaryOpProgram(e.shape, NEG);return this.compileAndRun(t, [e]);
+  }, e.prototype.matMul = function (e, t, n, r) {
+    var a = new MatMulProgram(e.shape, t.shape, n, r);return this.compileAndRun(a, [e, t]);
+  }, e.prototype.multiply = function (e, t) {
+    var n = new BinaryOpProgram(MUL, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.batchNormalization = function (e, t, n, r, a, o) {
+    var i = [e, t, n],
+        s = null;null != o && (s = o.shape, i.push(o));var u = null;null != a && (u = a.shape, i.push(a));var l = new BatchNormProgram(e.shape, t.shape, n.shape, s, u, r);return this.compileAndRun(l, i);
+  }, e.prototype.localResponseNormalization4D = function (e, t, n, r, a) {
+    var o = new LRNProgram(e.shape, t, n, r, a);return this.compileAndRun(o, [e]);
+  }, e.prototype.tile = function (e, t) {
+    var n = new TileProgram(e.shape, t);return this.compileAndRun(n, [e]);
+  }, e.prototype.pad = function (e, t, n) {
+    var r = new PadProgram(e.shape, t, n);return this.compileAndRun(r, [e]);
+  }, e.prototype.transpose = function (e, t) {
+    var n = new TransposeProgram(e.shape, t);return this.compileAndRun(n, [e]);
+  }, e.prototype.gather = function (e, t, n) {
+    var r = new GatherProgram(e.shape, t.size, n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.reduce = function (e, t, n) {
+    var r = e.shape[0],
+        a = e.shape[1],
+        o = computeOptimalWindowSize(a),
+        i = new ReduceProgram({ windowSize: o, inSize: a, batchSize: r }, t),
+        s = i.outputShape,
+        u = s[0],
+        l = s[1],
+        c = this.makeOutputArray([u, l], n);return this.compileAndRun(i, [e], c), 1 === c.shape[1] ? c : this.reduce(c, t, n);
+  }, e.prototype.argReduce = function (e, t, n) {
+    void 0 === n && (n = null);var r = e.shape[0],
+        a = e.shape[1];null != n && (r = n.shape[0], a = n.shape[1]);var o = computeOptimalWindowSize(a),
+        i = new ArgMinMaxProgram({ windowSize: o, inSize: a, batchSize: r }, t, null == n),
+        s = i.outputShape,
+        u = s[0],
+        l = s[1],
+        c = this.makeOutputArray([u, l], "int32"),
+        d = [e];return null != n && d.push(n), this.compileAndRun(i, d, c), 1 === c.shape[1] ? c : this.argReduce(e, t, c);
+  }, e.prototype.sum = function (e, t) {
+    assertAxesAreInnerMostDims("sum", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),
+        r = n[0],
+        a = sizeFromShape(n[1]),
+        o = e.as2D(-1, a),
+        i = sumOutType(e.dtype);return this.reduce(o, "sum", i).reshape(r);
+  }, e.prototype.unsortedSegmentSum = function (e, t, n) {
+    var r = 0,
+        a = getAxesPermutation([r], e.rank),
+        o = e;null != a && (o = e.transpose(a), r = getInnerMostAxes(1, e.rank)[0]);var i = computeOutShape$1(o.shape, r, n),
+        s = sizeFromShape([o.shape[r]]),
+        u = o.as2D(-1, s),
+        l = sumOutType(e.dtype),
+        c = this.segOpCompute(u, "unsortedSegmentSum", t, l, n).reshape(i);return null != a && (c = c.transpose(getUndoAxesPermutation(a))), c;
+  }, e.prototype.segOpCompute = function (e, t, n, r, a) {
+    var o = e.shape[0],
+        i = e.shape[1],
+        s = segOpComputeOptimalWindowSize(i, a),
+        u = new SegmentOpProgram({ windowSize: s, inSize: i, batchSize: o, numSegments: a }, t),
+        l = u.outputShape,
+        c = l[0],
+        d = l[1],
+        p = this.makeOutputArray([c, d], r);return this.compileAndRun(u, [e, n], p), p.shape[1] === a ? p : (n = range(0, a).tile([i / s]), this.segOpCompute(p, t, n, r, a));
+  }, e.prototype.argMin = function (e, t) {
+    var n = [t];assertAxesAreInnerMostDims("argMin", n, e.rank);var r = computeOutAndReduceShapes(e.shape, n),
+        a = r[0],
+        o = sizeFromShape(r[1]),
+        i = e.as2D(-1, o);return this.argReduce(i, "min").reshape(a);
+  }, e.prototype.argMax = function (e, t) {
+    var n = [t];assertAxesAreInnerMostDims("argMax", n, e.rank);var r = computeOutAndReduceShapes(e.shape, n),
+        a = r[0],
+        o = sizeFromShape(r[1]),
+        i = e.as2D(-1, o);return this.argReduce(i, "max").reshape(a);
+  }, e.prototype.cumsum = function (e, t, n, r) {
+    if (t !== e.rank - 1) throw new Error("WebGL cumsum shader expects an inner-most axis=" + (e.rank - 1) + " but got axis=" + t);var a = new CumSumProgram(e.shape, n, r);return this.compileAndRun(a, [e]);
+  }, e.prototype.equal = function (e, t) {
+    var n = new BinaryOpProgram(EQUAL, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.notEqual = function (e, t) {
+    var n = new BinaryOpProgram(NOT_EQUAL, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.less = function (e, t) {
+    var n = new BinaryOpProgram(LESS, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.lessEqual = function (e, t) {
+    var n = new BinaryOpProgram(LESS_EQUAL, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.greater = function (e, t) {
+    var n = new BinaryOpProgram(GREATER, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.greaterEqual = function (e, t) {
+    var n = new BinaryOpProgram(GREATER_EQUAL, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.logicalNot = function (e) {
+    var t = new UnaryOpProgram(e.shape, LOGICAL_NOT);return this.compileAndRun(t, [e]);
+  }, e.prototype.logicalAnd = function (e, t) {
+    var n = new BinaryOpProgram(LOGICAL_AND, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.logicalOr = function (e, t) {
+    var n = new BinaryOpProgram(LOGICAL_OR, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "bool");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.where = function (e, t, n, r) {
+    var a = new WhereProgram(e.rank, t.shape, t.rank),
+        o = this.makeOutputArray(a.outputShape, r);return this.compileAndRun(a, [e, t, n], o);
+  }, e.prototype.topKValues = function (e, t) {
+    throw new Error("topKValues GPU not yet implemented!");
+  }, e.prototype.topKIndices = function (e, t) {
+    throw new Error("topKIndices GPU not yet implemented!");
+  }, e.prototype.min = function (e, t) {
+    assertAxesAreInnerMostDims("min", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),
+        r = n[0],
+        a = sizeFromShape(n[1]),
+        o = e.as2D(-1, a);return this.reduce(o, "min", o.dtype).reshape(r);
+  }, e.prototype.minimum = function (e, t) {
+    var n = new BinaryOpProgram(MIN, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.mod = function (e, t) {
+    var n = new BinaryOpProgram(MOD, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.max = function (e, t) {
+    assertAxesAreInnerMostDims("max", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),
+        r = n[0],
+        a = sizeFromShape(n[1]),
+        o = e.as2D(-1, a);return this.reduce(o, "max", o.dtype).reshape(r);
+  }, e.prototype.maximum = function (e, t) {
+    var n = new BinaryOpProgram(MAX, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.all = function (e, t) {
+    assertAxesAreInnerMostDims("all", t, e.rank);var n = computeOutAndReduceShapes(e.shape, t),
+        r = n[0],
+        a = sizeFromShape(n[1]),
+        o = e.as2D(-1, a);return this.reduce(o, "all", o.dtype).reshape(r);
+  }, e.prototype.squaredDifference = function (e, t) {
+    var n = new BinaryOpProgram(SQUARED_DIFFERENCE, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.realDivide = function (e, t) {
+    var n = new BinaryOpProgram(DIV, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "float32");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.floorDiv = function (e, t) {
+    var n = new BinaryOpProgram(INT_DIV, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, "int32");return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.add = function (e, t) {
+    var n = new BinaryOpProgram(ADD, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.subtract = function (e, t) {
+    var n = new BinaryOpProgram(SUB, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.pow = function (e, t) {
+    var n = new BinaryOpProgram(POW, e.shape, t.shape),
+        r = this.makeOutputArray(n.outputShape, upcastType(e.dtype, t.dtype));return this.compileAndRun(n, [e, t], r);
+  }, e.prototype.ceil = function (e) {
+    var t = new UnaryOpProgram(e.shape, CEIL);return this.compileAndRun(t, [e]);
+  }, e.prototype.floor = function (e) {
+    var t = new UnaryOpProgram(e.shape, FLOOR);return this.compileAndRun(t, [e]);
+  }, e.prototype.sign = function (e) {
+    var t = new UnaryOpProgram(e.shape, SIGN);return this.compileAndRun(t, [e]);
+  }, e.prototype.round = function (e) {
+    var t = new UnaryOpProgram(e.shape, ROUND);return this.compileAndRun(t, [e]);
+  }, e.prototype.exp = function (e) {
+    var t = new UnaryOpProgram(e.shape, EXP);return this.compileAndRun(t, [e]);
+  }, e.prototype.expm1 = function (e) {
+    var t = new UnaryOpProgram(e.shape, EXPM1);return this.compileAndRun(t, [e]);
+  }, e.prototype.log = function (e) {
+    var t = new UnaryOpProgram(e.shape, LOG);return this.compileAndRun(t, [e]);
+  }, e.prototype.log1p = function (e) {
+    var t = new UnaryOpProgram(e.shape, LOG1P);return this.compileAndRun(t, [e]);
+  }, e.prototype.sqrt = function (e) {
+    var t = new UnaryOpProgram(e.shape, SQRT);return this.compileAndRun(t, [e]);
+  }, e.prototype.rsqrt = function (e) {
+    var t = new UnaryOpProgram(e.shape, RSQRT);return this.compileAndRun(t, [e]);
+  }, e.prototype.square = function (e) {
+    var t = new UnaryOpProgram(e.shape, SQUARE);return this.compileAndRun(t, [e]);
+  }, e.prototype.reciprocal = function (e) {
+    var t = new UnaryOpProgram(e.shape, RECIPROCAL);return this.compileAndRun(t, [e]);
+  }, e.prototype.relu = function (e) {
+    var t = new UnaryOpProgram(e.shape, RELU);return this.compileAndRun(t, [e]);
+  }, e.prototype.elu = function (e) {
+    var t = new UnaryOpProgram(e.shape, ELU);return this.compileAndRun(t, [e]);
+  }, e.prototype.eluDer = function (e, t) {
+    var n = new BinaryOpProgram(ELU_DER, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.selu = function (e) {
+    var t = new UnaryOpProgram(e.shape, SELU);return this.compileAndRun(t, [e]);
+  }, e.prototype.int = function (e) {
+    var t = new UnaryOpProgram(e.shape, TO_INT),
+        n = this.makeOutputArray(t.outputShape, "int32");return this.compileAndRun(t, [e], n);
+  }, e.prototype.clip = function (e, t, n) {
+    var r = new ClipProgram(e.shape, t, n);return this.compileAndRun(r, [e]);
+  }, e.prototype.abs = function (e) {
+    var t = new UnaryOpProgram(e.shape, ABS);return this.compileAndRun(t, [e]);
+  }, e.prototype.sigmoid = function (e) {
+    var t = new UnaryOpProgram(e.shape, SIGMOID);return this.compileAndRun(t, [e]);
+  }, e.prototype.softplus = function (e) {
+    var t = new UnaryOpProgram(e.shape, SOFTPLUS);return this.compileAndRun(t, [e]);
+  }, e.prototype.sin = function (e) {
+    var t = new UnaryOpProgram(e.shape, SIN);return this.compileAndRun(t, [e]);
+  }, e.prototype.cos = function (e) {
+    var t = new UnaryOpProgram(e.shape, COS);return this.compileAndRun(t, [e]);
+  }, e.prototype.tan = function (e) {
+    var t = new UnaryOpProgram(e.shape, TAN);return this.compileAndRun(t, [e]);
+  }, e.prototype.asin = function (e) {
+    var t = new UnaryOpProgram(e.shape, ASIN);return this.compileAndRun(t, [e]);
+  }, e.prototype.acos = function (e) {
+    var t = new UnaryOpProgram(e.shape, ACOS);return this.compileAndRun(t, [e]);
+  }, e.prototype.atan = function (e) {
+    var t = new UnaryOpProgram(e.shape, ATAN);return this.compileAndRun(t, [e]);
+  }, e.prototype.atan2 = function (e, t) {
+    var n = new BinaryOpProgram(ATAN2, e.shape, t.shape);return this.compileAndRun(n, [e, t]);
+  }, e.prototype.sinh = function (e) {
+    var t = new UnaryOpProgram(e.shape, SINH);return this.compileAndRun(t, [e]);
+  }, e.prototype.cosh = function (e) {
+    var t = new UnaryOpProgram(e.shape, COSH);return this.compileAndRun(t, [e]);
+  }, e.prototype.tanh = function (e) {
+    var t = new UnaryOpProgram(e.shape, TANH);return this.compileAndRun(t, [e]);
+  }, e.prototype.asinh = function (e) {
+    var t = new UnaryOpProgram(e.shape, ASINH);return this.compileAndRun(t, [e]);
+  }, e.prototype.acosh = function (e) {
+    var t = new UnaryOpProgram(e.shape, ACOSH);return this.compileAndRun(t, [e]);
+  }, e.prototype.atanh = function (e) {
+    var t = new UnaryOpProgram(e.shape, ATANH);return this.compileAndRun(t, [e]);
+  }, e.prototype.erf = function (e) {
+    var t = new UnaryOpProgram(e.shape, ERF);return this.compileAndRun(t, [e]);
+  }, e.prototype.step = function (e, t) {
+    var n = new UnaryOpProgram(e.shape, STEP(t));return this.compileAndRun(n, [e]);
+  }, e.prototype.conv2d = function (e, t, n) {
+    var r = new Conv2DProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.conv2dDerInput = function (e, t, n) {
+    var r = new Conv2DDerInputProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.conv2dDerFilter = function (e, t, n) {
+    var r = new Conv2DDerFilterProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.depthwiseConv2D = function (e, t, n) {
+    var r = new DepthwiseConv2DProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.depthwiseConv2DDerInput = function (e, t, n) {
+    var r = new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.depthwiseConv2DDerFilter = function (e, t, n) {
+    var r = new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r, [e, t]);
+  }, e.prototype.maxPool = function (e, t) {
+    var n = new Pool2DProgram(t, "max", !1),
+        r = this.makeOutputArray(n.outputShape, e.dtype);return this.compileAndRun(n, [e], r);
+  }, e.prototype.avgPool = function (e, t) {
+    var n = new Pool2DProgram(t, "avg", !1),
+        r = this.makeOutputArray(n.outputShape, "float32");return this.compileAndRun(n, [e], r);
+  }, e.prototype.maxPoolBackprop = function (e, t, n, r) {
+    var a = new Pool2DProgram(r, "max", !0),
+        o = this.compileAndRun(a, [t]),
+        i = new MaxPool2DBackpropProgram(r),
+        s = this.makeOutputArray(i.outputShape, t.dtype),
+        u = this.compileAndRun(i, [e, o], s);return o.dispose(), u;
+  }, e.prototype.avgPoolBackprop = function (e, t, n) {
+    var r = new AvgPool2DBackpropProgram(n),
+        a = this.makeOutputArray(r.outputShape, t.dtype);return this.compileAndRun(r, [e], a);
+  }, e.prototype.cast = function (e, t) {
+    return castTensor(e, t, this);
+  }, e.prototype.reshape = function (e, t) {
+    return reshapeTensor(e, t);
+  }, e.prototype.resizeBilinear = function (e, t, n, r) {
+    var a = new ResizeBilinearProgram(e.shape, t, n, r);return this.compileAndRun(a, [e]);
+  }, e.prototype.resizeBilinearBackprop = function (e, t, n) {
+    var r = new ResizeBilinearBackpropProgram(e, t, n);return this.compileAndRun(r, [e]);
+  }, e.prototype.resizeNearestNeighbor = function (e, t, n, r) {
+    var a = new ResizeNearestNeighborProgram(e.shape, t, n, r);return this.compileAndRun(a, [e]);
+  }, e.prototype.multinomial = function (e, t, n, r) {
+    var a = t ? e : softmax(e),
+        o = a.shape[0],
+        i = a.shape[1],
+        s = new MultinomialProgram(o, i, n),
+        u = this.makeOutputArray(s.outputShape, "int32"),
+        l = s.getCustomSetupFunc(r);return this.compileAndRun(s, [a], u, l);
+  }, e.prototype.oneHot = function (e, t, n, r) {
+    var a = new OneHotProgram(e.size, t, n, r);return this.compileAndRun(a, [e]);
+  }, e.prototype.makeOutputArray = function (e, t) {
+    return Tensor.make(e, {}, t);
+  }, e.prototype.compileAndRun = function (e, t, n, r) {
+    var a = this;null == n && (n = this.makeOutputArray(e.outputShape, t[0].dtype));var o = t.map(function (e) {
+      var t = a.texData.get(e.dataId);return null == t.texture && e.size <= SIZE_UPLOAD_UNIFORM ? { tensor: e, texData: null, isUniform: !0 } : (a.uploadToGPU(e.dataId), { tensor: e, texData: t, isUniform: !1 });
+    });this.uploadToGPU(n.dataId);var i,
+        s = { tensor: n, texData: this.texData.get(n.dataId), isUniform: !1 },
+        u = makeShaderKey(e, o, s),
+        l = this.getAndSaveBinary(u, function () {
+      return compileProgram(a.gpgpu, e, o, s);
+    }),
+        c = null != this.activeTimers;if (c && (i = this.startTimer()), runProgram(l, o, s, r), this.numBytesInGPU > this.NUM_BYTES_BEFORE_PAGING) for (var d = this.numBytesInGPU - this.NUM_BYTES_BEFORE_PAGING; d > 0;) {
+      var p = this.lruDataGPU.shift(),
+          h = this.texData.get(p),
+          f = h.shape,
+          g = h.dtype;d -= this.computeBytes(f, g), this.read(p);
+    }return c && (i = this.endTimer(i), this.activeTimers.push(this.getQueryTime(i))), n;
+  }, e.prototype.getAndSaveBinary = function (e, t) {
+    return e in this.binaryCache || (this.binaryCache[e] = t()), this.binaryCache[e];
+  }, e.prototype.getTextureManager = function () {
+    return this.textureManager;
+  }, e.prototype.dispose = function () {
+    if (!this.disposed) {
+      for (var e in this.binaryCache) this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(), this.canvas.remove(), null != this.fromPixelsCanvas && this.fromPixelsCanvas.remove(), this.gpgpuCreatedLocally && this.gpgpu.dispose(), this.disposed = !0;
+    }
+  }, e.prototype.throwIfNoData = function (e) {
+    if (!this.texData.has(e)) throw new Error("WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends");
+  }, e.prototype.uploadToGPU = function (e) {
+    this.throwIfNoData(e);var t = this.texData.get(e),
+        n = t.shape,
+        r = t.values,
+        a = t.texture,
+        o = t.dtype,
+        i = t.usage;if (null != a) return this.lruDataGPU.splice(this.lruDataGPU.indexOf(e), 1), void this.lruDataGPU.push(e);var s,
+        u = null != this.activeTimers;u && (s = performance.now());var l = getTextureShapeFromLogicalShape(this.gpgpu.gl, n);t.texShape = l;var c = this.acquireTexture(e, l, i);t.texture = c, null != r && (this.gpgpu.uploadMatrixToTexture(c, l[0], l[1], typedArrayToFloat32(r, o)), t.values = null, u && (this.uploadWaitMs += performance.now() - s));
+  }, e.prototype.cacheOnCPU = function (e, t) {
+    var n = this.delayedStorage,
+        r = this.texData.get(e),
+        a = r.texture,
+        o = r.texShape,
+        i = r.dtype,
+        s = r.usage;n && null != a && (this.releaseTexture(e, a, o, s), r.texture = null, r.texShape = null), null != t && (r.values = float32ToTypedArray(t, i));
+  }, e.prototype.releaseTexture = function (e, t, n, r) {
+    var a = this.texData.get(e),
+        o = a.shape,
+        i = a.dtype,
+        s = this.lruDataGPU.indexOf(e);s >= 0 && this.lruDataGPU.splice(s, 1), this.numBytesInGPU -= this.computeBytes(o, i), this.textureManager.releaseTexture(t, n, r);
+  }, e.prototype.acquireTexture = function (e, t, n) {
+    var r = this.texData.get(e),
+        a = r.shape,
+        o = r.dtype;return this.lruDataGPU.push(e), this.numBytesInGPU += this.computeBytes(a, o), this.textureManager.acquireTexture(t, n);
+  }, e.prototype.computeBytes = function (e, t) {
+    return sizeFromShape(e) * bytesPerElement(t);
+  }, e;
+}();function float32ToTypedArray(e, t) {
+  if ("float32" === t) return e;if ("int32" === t || "bool" === t) {
+    for (var n = "int32" === t ? new Int32Array(e.length) : new Uint8Array(e.length), r = 0; r < n.length; ++r) n[r] = Math.round(e[r]);return n;
+  }throw new Error("Unknown dtype " + t);
+}function typedArrayToFloat32(e, t) {
+  return e instanceof Float32Array ? e : new Float32Array(e);
+}ENV.get("IS_BROWSER") && ENV.registerBackend("webgl", function () {
+  return new MathBackendWebGL();
+}, 2);var MathBackendCPU = function () {
+  function e() {
+    this.data = new WeakMap(), this.firstUse = !0, ENV.get("IS_BROWSER") && (this.canvas = document.createElement("canvas"));
+  }return e.prototype.register = function (e, t, n) {
+    if (this.firstUse && (this.firstUse = !1, ENV.get("IS_NODE") && console.warn("\n============================\nHi there đź‘‹. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================\n")), this.data.has(e)) throw new Error("Data buffer is already registered");this.data.set(e, null);
+  }, e.prototype.write = function (e, t) {
+    if (null == t) throw new Error("MathBackendCPU.write(): values can not be null");this.throwIfNoData(e), this.data.set(e, t);
+  }, e.prototype.fromPixels = function (e, t) {
+    if (null == e) throw new Error("MathBackendCPU.writePixels(): pixels can not be null");var n, r;if (e instanceof ImageData) n = e.data;else if (e instanceof HTMLCanvasElement) n = e.getContext("2d").getImageData(0, 0, e.width, e.height).data;else {
+      if (!(e instanceof HTMLImageElement || e instanceof HTMLVideoElement)) throw new Error("pixels is of unknown type: " + e.constructor.name);if (null == this.canvas) throw new Error("Can't read pixels from HTMLImageElement outside the browser.");this.canvas.width = e.width, this.canvas.height = e.height, this.canvas.getContext("2d").drawImage(e, 0, 0, e.width, e.height), n = this.canvas.getContext("2d").getImageData(0, 0, e.width, e.height).data;
+    }if (4 === t) r = new Int32Array(n);else {
+      var a = e.width * e.height;r = new Int32Array(a * t);for (var o = 0; o < a; o++) for (var i = 0; i < t; ++i) r[o * t + i] = n[4 * o + i];
+    }var s = [e.height, e.width, t];return tensor3d(r, s, "int32");
+  }, e.prototype.read = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (t) {
+        return [2, this.readSync(e)];
+      });
+    });
+  }, e.prototype.readSync = function (e) {
+    return this.throwIfNoData(e), this.data.get(e);
+  }, e.prototype.disposeData = function (e) {
+    this.data.has(e) && this.data.delete(e);
+  }, e.prototype.time = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t;return __generator(this, function (n) {
+        return t = performance.now(), e(), [2, { kernelMs: performance.now() - t }];
+      });
+    });
+  }, e.prototype.memory = function () {
+    return { unreliable: !0 };
+  }, e.prototype.throwIfNoData = function (e) {
+    if (!this.data.has(e)) throw new Error("CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends");
+  }, e.prototype.slice = function (e, t, n) {
+    for (var r = buffer(n, e.dtype), a = 0; a < r.size; ++a) {
+      var o = r.indexToLoc(a),
+          i = o.map(function (e, n) {
+        return e + t[n];
+      });r.set.apply(r, [e.get.apply(e, i)].concat(o));
+    }return r.toTensor();
+  }, e.prototype.stridedSlice = function (e, t, n, r, a, o) {
+    var i = getStridedSlicedInfo(e.shape, t, n, r, a, o),
+        s = i[0],
+        u = i[1];if (u.some(function (e) {
+      return 0 === e;
+    })) return tensor([], u);for (var l = buffer(u, e.dtype), c = 0; c < l.size; c++) {
+      for (var d = l.indexToLoc(c), p = new Array(d.length), h = 0; h < p.length; h++) p[h] = d[h] * r[h] + s[h];l.set.apply(l, [e.get.apply(e, p)].concat(d));
+    }return l.toTensor();
+  }, e.prototype.reverse = function (e, t) {
+    for (var n = buffer(e.shape, e.dtype), r = e.buffer(), a = function (a) {
+      var o = n.indexToLoc(a),
+          i = o.slice();t.forEach(function (t) {
+        return i[t] = e.shape[t] - 1 - i[t];
+      }), n.set.apply(n, [r.get.apply(r, i)].concat(o));
+    }, o = 0; o < n.size; o++) a(o);return n.toTensor();
+  }, e.prototype.concat = function (e, t) {
+    var n = computeOutShape(e.shape, t.shape, 1),
+        r = buffer(n, e.dtype);if (1 === e.shape[0] && 1 === t.shape[0]) {
+      var a = e.dataSync(),
+          o = t.dataSync(),
+          i = r.values;return i.set(a, 0), i.set(o, e.size), r.toTensor();
+    }for (var s = 0; s < n[0]; ++s) {
+      for (var u = 0; u < e.shape[1]; ++u) r.set(e.get(s, u), s, u);for (u = 0; u < t.shape[1]; ++u) r.set(t.get(s, u), s, u + e.shape[1]);
+    }return r.toTensor();
+  }, e.prototype.neg = function (e) {
+    return this.multiply(scalar(-1), e);
+  }, e.prototype.add = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {
+      return e + t;
+    });
+  }, e.prototype.subtract = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {
+      return e - t;
+    });
+  }, e.prototype.pow = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      return Math.pow(e, t);
+    });
+  }, e.prototype.matMul = function (e, t, n, r) {
+    for (var a = n ? e.shape[0] : e.shape[1], o = n ? e.shape[1] : e.shape[0], i = r ? t.shape[0] : t.shape[1], s = e.dataSync(), u = t.dataSync(), l = n ? [1, e.strides[0]] : [e.strides[0], 1], c = l[0], d = l[1], p = r ? [t.strides[0], 1] : [1, t.strides[0]], h = p[0], f = p[1], g = o * c, m = i * h, v = new Float32Array(o * i), y = 0, x = 0; x < g; x += c) for (var b = 0; b < m; b += h) {
+      for (var E = x, S = b, A = 0, T = 0; T < a; ++T) A += s[E] * u[S], E += d, S += f;v[y++] = A;
+    }return tensor2d(v, [o, i]);
+  }, e.prototype.multiply = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, upcastType(e.dtype, t.dtype), function (e, t) {
+      return e * t;
+    });
+  }, e.prototype.realDivide = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "float32", function (e, t) {
+      return e / t;
+    });
+  }, e.prototype.floorDiv = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "int32", function (e, t) {
+      return Math.floor(e / t);
+    });
+  }, e.prototype.sum = function (e, t) {
+    assertAxesAreInnerMostDims("sum", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = upcastType(e.dtype, "int32"), i = zeros(r, o), s = sizeFromShape(a), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {
+      for (var d = c * s, p = 0, h = 0; h < s; ++h) p += l[d + h];u[c] = p;
+    }return i;
+  }, e.prototype.unsortedSegmentSum = function (e, t, n) {
+    for (var r = [], a = e.rank - t.rank, o = 0; o < a; ++o) t = t.expandDims(o + 1);for (o = 0; o < n; ++o) {
+      var i = scalar(o, "int32"),
+          s = equal(i, t).asType("float32").mul(e).sum(0);r.push(s);
+    }return stack(r);
+  }, e.prototype.argMin = function (e, t) {
+    var n = [t];assertAxesAreInnerMostDims("argMin", n, e.rank);for (var r = computeOutAndReduceShapes(e.shape, n), a = r[0], o = r[1], i = zeros(a, "int32"), s = sizeFromShape(o), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {
+      for (var d = c * s, p = l[d], h = 0, f = 0; f < s; ++f) {
+        var g = l[d + f];g < p && (p = g, h = f);
+      }u[c] = h;
+    }return i;
+  }, e.prototype.argMax = function (e, t) {
+    var n = [t];assertAxesAreInnerMostDims("argMax", n, e.rank);for (var r = computeOutAndReduceShapes(e.shape, n), a = r[0], o = r[1], i = zeros(a, "int32"), s = sizeFromShape(o), u = i.dataSync(), l = e.dataSync(), c = 0; c < u.length; ++c) {
+      for (var d = c * s, p = l[d], h = 0, f = 0; f < s; ++f) {
+        var g = l[d + f];g > p && (p = g, h = f);
+      }u[c] = h;
+    }return i;
+  }, e.prototype.cumsum = function (e, t, n, r) {
+    if (t !== e.rank - 1) throw new Error("backend.cumsum in CPU expects an inner-most axis=" + (e.rank - 1) + " but got axis=" + t);for (var a = upcastType(e.dtype, "int32"), o = zeros(e.shape, a), i = o.dataSync(), s = e.dataSync(), u = e.shape[e.rank - 1], l = r ? function (e, t) {
+      return e + u - t - 1;
+    } : function (e, t) {
+      return e + t;
+    }, c = 0; c < s.length; c += u) for (var d = 0; d < u; d++) {
+      var p = l(c, d);if (0 === d) i[p] = n ? 0 : s[p];else {
+        var h = l(c, d - 1);i[p] = n ? s[h] + i[h] : s[p] + i[h];
+      }
+    }return o;
+  }, e.prototype.equal = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e === t ? 1 : 0;
+    });
+  }, e.prototype.notEqual = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e !== t ? 1 : 0;
+    });
+  }, e.prototype.less = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e < t ? 1 : 0;
+    });
+  }, e.prototype.lessEqual = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e <= t ? 1 : 0;
+    });
+  }, e.prototype.greater = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e > t ? 1 : 0;
+    });
+  }, e.prototype.greaterEqual = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e >= t ? 1 : 0;
+    });
+  }, e.prototype.logicalNot = function (e) {
+    for (var t = e.dataSync(), n = new Int32Array(t.length), r = 0; r < t.length; ++r) n[r] = t[r] ? 0 : 1;return Tensor.make(e.shape, { values: n }, "bool");
+  }, e.prototype.logicalAnd = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e && t;
+    });
+  }, e.prototype.logicalOr = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, "bool", function (e, t) {
+      return e || t;
+    });
+  }, e.prototype.where = function (e, t, n, r) {
+    for (var a = e.dataSync(), o = t.dataSync(), i = n.dataSync(), s = zeros(t.shape, r), u = s.dataSync(), l = 0, c = 0 === e.rank || e.rank > 1 || 1 === t.rank ? 1 : t.shape[1], d = 0; d < a.length; d++) for (var p = 0; p < c; p++) 1 === a[d] ? u[l++] = o[d] : u[l++] = i[d];return s;
+  }, e.prototype.topKValues = function (e, t) {
+    return this.topK(e, t).values;
+  }, e.prototype.topKIndices = function (e, t) {
+    return this.topK(e, t).indices;
+  }, e.prototype.topK = function (e, t) {
+    for (var n = e.dataSync(), r = [], a = 0; a < n.length; a++) r.push({ value: n[a], index: a });r.sort(function (e, t) {
+      return t.value - e.value;
+    });var o = getTypedArrayFromDType(e.dtype, t),
+        i = new Int32Array(t);for (a = 0; a < t; a++) o[a] = r[a].value, i[a] = r[a].index;return { values: tensor1d(o, e.dtype), indices: tensor1d(i, "int32") };
+  }, e.prototype.min = function (e, t) {
+    assertAxesAreInnerMostDims("min", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {
+      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {
+        var h = u[c + p];h < d && (d = h);
+      }s[l] = d;
+    }return o;
+  }, e.prototype.minimum = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      return Math.min(e, t);
+    });
+  }, e.prototype.mod = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      var n = e % t;return e < 0 && t < 0 || e >= 0 && t >= 0 ? n : (n + t) % t;
+    });
+  }, e.prototype.max = function (e, t) {
+    assertAxesAreInnerMostDims("max", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {
+      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {
+        var h = u[c + p];h > d && (d = h);
+      }s[l] = d;
+    }return o;
+  }, e.prototype.maximum = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      return Math.max(e, t);
+    });
+  }, e.prototype.all = function (e, t) {
+    assertAxesAreInnerMostDims("all", t, e.rank);for (var n = computeOutAndReduceShapes(e.shape, t), r = n[0], a = n[1], o = zeros(r, e.dtype), i = sizeFromShape(a), s = o.dataSync(), u = e.dataSync(), l = 0; l < s.length; ++l) {
+      for (var c = l * i, d = u[c], p = 0; p < i; ++p) {
+        var h = u[c + p];d = d && h;
+      }s[l] = d;
+    }return o;
+  }, e.prototype.squaredDifference = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      var n = e - t;return n * n;
+    });
+  }, e.prototype.ceil = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.ceil(t[r]);return Tensor.make(e.shape, { values: n });
+  }, e.prototype.floor = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.floor(t[r]);return Tensor.make(e.shape, { values: n });
+  }, e.prototype.sign = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) t[r] < 0 ? n[r] = -1 : t[r] > 0 ? n[r] = 1 : n[r] = 0;return Tensor.make(e.shape, { values: n });
+  }, e.prototype.round = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = Math.floor(t[r]);t[r] - a < .5 ? n[r] = Math.floor(t[r]) : t[r] - a > .5 ? n[r] = Math.ceil(t[r]) : n[r] = a % 2 == 0 ? a : a + 1;
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.exp = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.exp(t[r]);return Tensor.make(e.shape, { values: n });
+  }, e.prototype.expm1 = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = Math.expm1(t[r]);return Tensor.make(e.shape, { values: n });
+  }, e.prototype.log = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = t[r];n[r] = Math.log(a);
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.log1p = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = t[r];n[r] = Math.log1p(a);
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.sqrt = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = t[r];n[r] = Math.sqrt(a);
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.rsqrt = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = t[r];n[r] = 1 / Math.sqrt(a);
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.square = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) {
+      var a = t[r];n[r] = a * a;
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.reciprocal = function (e) {
+    for (var t = e.dataSync(), n = new Float32Array(t.length), r = 0; r < t.length; ++r) n[r] = 1 / t[r];return Tensor.make(e.shape, { values: n });
+  }, e.prototype.relu = function (e) {
+    for (var t = zeros(e.shape, e.dtype), n = t.dataSync(), r = e.dataSync(), a = 0; a < r.length; ++a) n[a] = Math.max(0, r[a]);return t;
+  }, e.prototype.elu = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) {
+      var a = n[r];t[r] = a >= 0 ? a : Math.exp(a) - 1;
+    }return Tensor.make(e.shape, { values: t });
+  }, e.prototype.eluDer = function (e, t) {
+    for (var n = new Float32Array(t.size), r = t.dataSync(), a = e.dataSync(), o = 0; o < r.length; ++o) {
+      var i = r[o];n[o] = i >= 1 ? a[o] : a[o] * (i + 1);
+    }return Tensor.make(t.shape, { values: n });
+  }, e.prototype.selu = function (e) {
+    for (var t = SELU_SCALEALPHA, n = SELU_SCALE, r = new Float32Array(e.size), a = e.dataSync(), o = 0; o < a.length; ++o) {
+      var i = a[o];r[o] = i >= 0 ? n * i : t * (Math.exp(i) - 1);
+    }return Tensor.make(e.shape, { values: r });
+  }, e.prototype.clip = function (e, t, n) {
+    for (var r = new Float32Array(e.size), a = e.dataSync(), o = 0; o < a.length; ++o) r[o] = Math.min(n, Math.max(t, a[o]));return Tensor.make(e.shape, { values: r });
+  }, e.prototype.abs = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.abs(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.int = function (e) {
+    for (var t = new Int32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = n[r];return Tensor.make(e.shape, { values: t }, "int32");
+  }, e.prototype.sigmoid = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = 1 / (1 + Math.exp(-n[r]));return Tensor.make(e.shape, { values: t });
+  }, e.prototype.softplus = function (e) {
+    for (var t = Math.log(1.1920928955078125e-7) + 2, n = new Float32Array(e.size), r = e.dataSync(), a = 0; a < r.length; ++a) {
+      var o = r[a] > -t,
+          i = r[a] < t,
+          s = Math.exp(r[a]),
+          u = void 0;u = i ? s : o ? r[a] : Math.log(1 + s), n[a] = u;
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.sin = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.sin(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.cos = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.cos(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.tan = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.tan(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.asin = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.asin(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.acos = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.acos(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.atan = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.atan(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.atan2 = function (e, t) {
+    return this.broadcastedBinaryOp(e, t, e.dtype, function (e, t) {
+      return Math.atan2(e, t);
+    });
+  }, e.prototype.sinh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.sinh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.cosh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.cosh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.tanh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = tanh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.asinh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.asinh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.acosh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.acosh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.atanh = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = 0; r < n.length; ++r) t[r] = Math.atanh(n[r]);return Tensor.make(e.shape, { values: t });
+  }, e.prototype.erf = function (e) {
+    for (var t = new Float32Array(e.size), n = e.dataSync(), r = ERF_P, a = ERF_A1, o = ERF_A2, i = ERF_A3, s = ERF_A4, u = ERF_A5, l = 0; l < n.length; ++l) {
+      var c = n[l],
+          d = 1 / (1 + r * c);t[l] = 1 - ((((u * d + s) * d + i) * d + o) * d + a) * d * Math.exp(-c * c);
+    }return Tensor.make(e.shape, { values: t });
+  }, e.prototype.step = function (e, t) {
+    void 0 === t && (t = 0);for (var n = new Float32Array(e.size), r = e.dataSync(), a = 0; a < r.length; ++a) {
+      var o = r[a];isNaN(o) ? n[a] = NaN : n[a] = o > 0 ? 1 : t;
+    }return Tensor.make(e.shape, { values: n });
+  }, e.prototype.conv2d = function (e, t, n) {
+    for (var r = n.filterHeight, a = n.filterWidth, o = n.dilationHeight, i = n.dilationWidth, s = n.padInfo.left, u = n.padInfo.top, l = buffer(n.outShape, e.dtype), c = 0; c < n.batchSize; ++c) for (var d = 0; d < n.outChannels; ++d) for (var p = 0; p < n.outHeight; ++p) for (var h = p * n.strideHeight - s, f = 0; f < n.outWidth; ++f) {
+      for (var g = f * n.strideWidth - u, m = 0, v = 0; v < r; v++) {
+        var y = h + v * o;if (!(y < 0 || y >= n.inHeight)) for (var x = 0; x < a; x++) {
+          var b = g + x * i;if (!(b < 0 || b >= n.inWidth)) for (var E = 0; E < n.inChannels; ++E) {
+            m += e.get(c, y, b, E) * t.get(v, x, E, d);
+          }
+        }
+      }l.set(m, c, p, f, d);
+    }return l.toTensor();
+  }, e.prototype.conv2dDerInput = function (e, t, n) {
+    for (var r = buffer(n.inShape, "float32"), a = r.values, o = r.strides, i = o[0], s = o[1], u = o[2], l = e.dataSync(), c = e.strides, d = c[0], p = c[1], h = c[2], f = t.dataSync(), g = t.strides, m = g[0], v = g[1], y = g[2], x = n.batchSize, b = n.filterHeight, E = n.filterWidth, S = n.inChannels, A = n.inHeight, T = n.inWidth, w = n.outChannels, _ = n.outHeight, R = n.outWidth, C = n.strideHeight, O = n.strideWidth, I = b - 1 - n.padInfo.top, k = E - 1 - n.padInfo.left, M = 0; M < x; ++M) for (var N = 0; N < S; ++N) for (var D = 0; D < A; ++D) for (var P = D - I, F = Math.max(0, Math.ceil(P / C)), L = Math.min(_, (b + P) / C), B = 0; B < T; ++B) {
+      for (var U = B - k, V = Math.max(0, Math.ceil(U / O)), z = Math.min(R, (E + U) / O), G = 0, W = F; W < L; ++W) for (var q = W * C - P, H = V; H < z; ++H) for (var X = d * M + p * W + h * H, j = m * (b - 1 - q) + v * (E - 1 - (H * O - U)) + y * N, K = 0; K < w; ++K) {
+        G += l[X + K] * f[j + K];
+      }a[i * M + s * D + u * B + N] = G;
+    }return r.toTensor();
+  }, e.prototype.conv2dDerFilter = function (e, t, n) {
+    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = buffer(n.filterShape, "float32"), u = n.padInfo.left, l = n.padInfo.top, c = 0; c < o; ++c) for (var d = Math.max(0, Math.ceil((l - c) / r)), p = Math.min(n.outHeight, (n.inHeight + l - c) / r), h = 0; h < i; ++h) for (var f = Math.max(0, Math.ceil((u - h) / a)), g = Math.min(n.outWidth, (n.inWidth + u - h) / a), m = 0; m < n.inChannels; ++m) for (var v = 0; v < n.outChannels; ++v) {
+      for (var y = 0, x = 0; x < n.batchSize; ++x) for (var b = d; b < p; ++b) for (var E = c + b * r - l, S = f; S < g; ++S) {
+        var A = h + S * a - u;y += e.get(x, E, A, m) * t.get(x, b, S, v);
+      }s.set(y, c, h, m, v);
+    }return s.toTensor();
+  }, e.prototype.depthwiseConv2D = function (e, t, n) {
+    for (var r = n.filterHeight, a = n.filterWidth, o = n.dilationHeight, i = n.dilationWidth, s = n.padInfo.left, u = n.padInfo.top, l = n.outChannels / n.inChannels, c = buffer(n.outShape, e.dtype), d = 0; d < n.batchSize; ++d) for (var p = 0; p < n.inChannels; ++p) for (var h = 0; h < n.outHeight; ++h) for (var f = h * n.strideHeight - s, g = 0; g < n.outWidth; ++g) for (var m = g * n.strideWidth - u, v = 0; v < l; ++v) {
+      for (var y = 0, x = 0; x < r; ++x) {
+        var b = f + x * o;if (!(b < 0 || b >= n.inHeight)) for (var E = 0; E < a; ++E) {
+          var S = m + E * i;if (!(S < 0 || S >= n.inWidth)) y += e.get(d, b, S, p) * t.get(x, E, p, v);
+        }
+      }c.set(y, d, h, g, p * l + v);
+    }return c.toTensor();
+  }, e.prototype.depthwiseConv2DDerInput = function (e, t, n) {
+    for (var r = buffer(n.inShape, "float32"), a = r.values, o = r.strides, i = o[0], s = o[1], u = o[2], l = e.dataSync(), c = e.strides, d = c[0], p = c[1], h = c[2], f = t.dataSync(), g = t.strides, m = g[0], v = g[1], y = g[2], x = n.batchSize, b = n.filterHeight, E = n.filterWidth, S = n.inChannels, A = n.inHeight, T = n.inWidth, w = n.outChannels, _ = n.outHeight, R = n.outWidth, C = n.strideHeight, O = n.strideWidth, I = b - 1 - n.padInfo.top, k = E - 1 - n.padInfo.left, M = w / S, N = 0; N < x; ++N) for (var D = 0; D < S; ++D) for (var P = 0; P < A; ++P) for (var F = P - I, L = Math.max(0, Math.ceil(F / C)), B = Math.min(_, (b + F) / C), U = 0; U < T; ++U) {
+      for (var V = U - k, z = Math.max(0, Math.ceil(V / O)), G = Math.min(R, (E + V) / O), W = 0, q = L; q < B; ++q) for (var H = q * C - F, X = z; X < G; ++X) for (var j = d * N + p * q + h * X, K = m * (b - 1 - H) + v * (E - 1 - (X * O - V)) + y * D, Q = 0; Q < M; ++Q) {
+        W += l[j + (D * M + Q)] * f[K + Q];
+      }a[i * N + s * P + u * U + D] = W;
+    }return r.toTensor();
+  }, e.prototype.depthwiseConv2DDerFilter = function (e, t, n) {
+    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = buffer(n.filterShape, "float32"), u = n.padInfo.left, l = n.padInfo.top, c = n.outChannels / n.inChannels, d = 0; d < o; ++d) for (var p = Math.max(0, Math.ceil((l - d) / r)), h = Math.min(n.outHeight, (n.inHeight + l - d) / r), f = 0; f < i; ++f) for (var g = Math.max(0, Math.ceil((u - f) / a)), m = Math.min(n.outWidth, (n.inWidth + u - f) / a), v = 0; v < n.outChannels; ++v) {
+      for (var y = Math.trunc(v / c), x = v % c, b = 0, E = 0; E < n.batchSize; ++E) for (var S = p; S < h; ++S) for (var A = d + S * r - l, T = g; T < m; ++T) {
+        var w = f + T * a - u;b += e.get(E, A, w, y) * t.get(E, S, T, v);
+      }s.set(b, d, f, y, x);
+    }return s.toTensor();
+  }, e.prototype.tile = function (e, t) {
+    for (var n = new Array(e.rank), r = 0; r < n.length; r++) n[r] = e.shape[r] * t[r];var a = buffer(n, e.dtype),
+        o = e.buffer();for (r = 0; r < a.values.length; ++r) {
+      for (var i = a.indexToLoc(r), s = new Array(e.rank), u = 0; u < s.length; u++) s[u] = i[u] % e.shape[u];var l = o.locToIndex(s);a.values[r] = o.values[l];
+    }return a.toTensor();
+  }, e.prototype.pad = function (e, t, n) {
+    var r = t.map(function (t, n) {
+      return t[0] + e.shape[n] + t[1];
+    }),
+        a = t.map(function (e) {
+      return e[0];
+    }),
+        o = e.buffer(),
+        i = buffer(r, e.dtype);0 !== n && i.values.fill(n);for (var s = 0; s < e.size; s++) {
+      var u = o.indexToLoc(s),
+          l = u.map(function (e, t) {
+        return e + a[t];
+      });i.set.apply(i, [e.get.apply(e, u)].concat(l));
+    }return i.toTensor();
+  }, e.prototype.transpose = function (e, t) {
+    for (var n = new Array(e.rank), r = 0; r < n.length; r++) n[r] = e.shape[t[r]];var a = e.dataSync(),
+        o = buffer(n, e.dtype),
+        i = e.buffer();for (r = 0; r < e.size; ++r) {
+      for (var s = i.indexToLoc(r), u = new Array(s.length), l = 0; l < u.length; l++) u[l] = s[t[l]];var c = o.locToIndex(u);o.values[c] = a[r];
+    }return o.toTensor();
+  }, e.prototype.gather = function (e, t, n) {
+    var r = e.shape.slice(),
+        a = t.dataSync();r[n] = a.length;for (var o = buffer(r, e.dtype), i = e.buffer(), s = 0; s < o.size; ++s) {
+      var u = o.indexToLoc(s),
+          l = u.slice();l[n] = a[u[n]];var c = i.locToIndex(l);o.values[s] = i.values[c];
+    }return o.toTensor();
+  }, e.prototype.pool = function (e, t, n) {
+    for (var r = t.strideHeight, a = t.strideWidth, o = t.filterHeight, i = t.filterWidth, s = buffer(t.outShape, "float32"), u = t.padInfo.top, l = t.padInfo.left, c = 0; c < t.batchSize; ++c) for (var d = 0; d < t.inChannels; ++d) for (var p = 0; p < t.outHeight; ++p) for (var h = p * r - u, f = Math.max(0, h), g = Math.min(t.inHeight, o + h), m = 0; m < t.outWidth; ++m) {
+      for (var v = m * a - l, y = Math.max(0, v), x = Math.min(t.inWidth, i + v), b = "max" === n ? Number.NEGATIVE_INFINITY : Number.POSITIVE_INFINITY, E = 0, S = 0, A = f; A < g; ++A) {
+        for (var T = y; T < x; ++T) {
+          var w = e.get(c, A, T, d);"max" === n && w > b ? b = w : "avg" === n && (E += w, S++);
+        }if (isNaN(b)) break;
+      }s.set("avg" === n ? E / S : b, c, p, m, d);
+    }return s.toTensor();
+  }, e.prototype.maxPool = function (e, t) {
+    return this.pool(e, t, "max");
+  }, e.prototype.maxPoolPositions = function (e, t) {
+    for (var n = buffer(t.outShape, "int32"), r = t.strideHeight, a = t.strideWidth, o = t.filterHeight, i = t.filterWidth, s = t.padInfo.top, u = t.padInfo.left, l = 0; l < t.batchSize; ++l) for (var c = 0; c < t.inChannels; ++c) for (var d = 0; d < t.outHeight; ++d) for (var p = d * r - s, h = Math.max(0, p), f = Math.min(t.inHeight, o + p), g = 0; g < t.outWidth; ++g) {
+      for (var m = g * a - u, v = Math.max(0, m), y = Math.min(t.inWidth, i + m), x = Number.NEGATIVE_INFINITY, b = -1, E = h; E < f; ++E) for (var S = E - p, A = v; A < y; ++A) {
+        var T = A - m,
+            w = e.get(l, E, A, c);w > x && (x = w, b = S * i + T);
+      }n.set(b, l, d, g, c);
+    }return n.toTensor();
+  }, e.prototype.maxPoolBackprop = function (e, t, n, r) {
+    for (var a = this.maxPoolPositions(t, r), o = r.strideHeight, i = r.strideWidth, s = r.filterHeight, u = r.filterWidth, l = u - 1 - r.padInfo.left, c = s - 1 - r.padInfo.top, d = buffer(t.shape, "float32"), p = 0; p < r.batchSize; ++p) for (var h = 0; h < r.inChannels; ++h) for (var f = 0; f < r.inHeight; ++f) for (var g = 0; g < r.inWidth; ++g) {
+      for (var m = f - c, v = g - l, y = 0, x = 0; x < s; ++x) {
+        var b = (m + x) / o;if (!(b < 0 || b >= r.outHeight || Math.floor(b) !== b)) for (var E = 0; E < u; ++E) {
+          var S = (v + E) / i;if (!(S < 0 || S >= r.outWidth || Math.floor(S) !== S)) {
+            var A = s * u - 1 - a.get(p, b, S, h) === x * u + E ? 1 : 0;if (0 !== A) y += e.get(p, b, S, h) * A;
+          }
+        }
+      }d.set(y, p, f, g, h);
+    }return d.toTensor();
+  }, e.prototype.avgPoolBackprop = function (e, t, n) {
+    for (var r = n.strideHeight, a = n.strideWidth, o = n.filterHeight, i = n.filterWidth, s = i - 1 - n.padInfo.left, u = o - 1 - n.padInfo.top, l = buffer(t.shape, "float32"), c = 1 / (o * i), d = 0; d < n.batchSize; ++d) for (var p = 0; p < n.inChannels; ++p) for (var h = 0; h < n.inHeight; ++h) for (var f = 0; f < n.inWidth; ++f) {
+      for (var g = h - u, m = f - s, v = 0, y = 0; y < o; ++y) {
+        var x = (g + y) / r;if (!(x < 0 || x >= n.outHeight || Math.floor(x) !== x)) for (var b = 0; b < i; ++b) {
+          var E = (m + b) / a;if (!(E < 0 || E >= n.outWidth || Math.floor(E) !== E)) v += e.get(d, x, E, p);
+        }
+      }l.set(v * c, d, h, f, p);
+    }return l.toTensor();
+  }, e.prototype.cast = function (e, t) {
+    return castTensor(e, t, this);
+  }, e.prototype.reshape = function (e, t) {
+    return reshapeTensor(e, t);
+  }, e.prototype.avgPool = function (e, t) {
+    return this.pool(e, t, "avg").toFloat();
+  }, e.prototype.resizeBilinear = function (e, t, n, r) {
+    for (var a = e.shape, o = a[0], i = a[1], s = a[2], u = a[3], l = buffer([o, t, n, u], e.dtype), c = [r && t > 1 ? i - 1 : i, r && n > 1 ? s - 1 : s], d = [r && t > 1 ? t - 1 : t, r && n > 1 ? n - 1 : n], p = 0; p < o; p++) for (var h = 0; h < t; h++) for (var f = 0; f < n; f++) for (var g = 0; g < u; g++) {
+      var m = c[0] * h / d[0],
+          v = c[1] * f / d[1],
+          y = Math.floor(m),
+          x = Math.min(i - 1, Math.ceil(m)),
+          b = Math.floor(v),
+          E = Math.min(s - 1, Math.ceil(v)),
+          S = e.get(p, y, b, g),
+          A = e.get(p, x, b, g),
+          T = v - b,
+          w = S + (e.get(p, y, E, g) - S) * T,
+          _ = w + (A + (e.get(p, x, E, g) - A) * T - w) * (m - y);l.set(_, p, h, f, g);
+    }return l.toTensor();
+  }, e.prototype.resizeBilinearBackprop = function (e, t, n) {
+    for (var r = t.shape, a = r[0], o = r[1], i = r[2], s = r[3], u = e.shape, l = u[1], c = u[2], d = buffer([a, o, i, s], t.dtype), p = [n && l > 1 ? o - 1 : o, n && c > 1 ? i - 1 : i], h = [n && l > 1 ? l - 1 : l, n && c > 1 ? c - 1 : c], f = p[0] / h[0], g = p[1] / h[1], m = 0; m < a; m++) for (var v = 0; v < l; v++) for (var y = v * f, x = Math.floor(y), b = Math.min(Math.ceil(y), o - 1), E = y - x, S = 1 - E, A = 0; A < c; A++) for (var T = A * g, w = Math.floor(T), _ = Math.min(Math.ceil(T), i - 1), R = T - w, C = 1 - R, O = 0; O < s; O++) {
+      var I = e.get(m, v, A, O),
+          k = d.get(m, x, w, O);k += I * S * C, d.set(k, m, x, w, O);var M = d.get(m, x, _, O);M += I * S * R, d.set(M, m, x, _, O);var N = d.get(m, b, w, O);N += I * E * C, d.set(N, m, b, w, O);var D = d.get(m, b, _, O);D += I * E * R, d.set(D, m, b, _, O);
+    }return d.toTensor();
+  }, e.prototype.resizeNearestNeighbor = function (e, t, n, r) {
+    for (var a = e.shape, o = a[0], i = a[1], s = a[2], u = a[3], l = buffer([o, t, n, u], e.dtype), c = r ? [i - 1, s - 1] : [i, s], d = r ? [t - 1, n - 1] : [t, n], p = 0; p < o; p++) for (var h = 0; h < t; h++) for (var f = 0; f < n; f++) for (var g = 0; g < u; g++) {
+      var m = c[0] * h / d[0],
+          v = c[1] * f / d[1],
+          y = Math.min(i - 1, r ? Math.round(m) : Math.floor(m)),
+          x = Math.min(s - 1, r ? Math.round(v) : Math.floor(v)),
+          b = e.get(p, y, x, g);l.set(b, p, h, f, g);
+    }return l.toTensor();
+  }, e.prototype.batchNormalization = function (e, t, n, r, a, o) {
+    for (var i = e.dataSync(), s = t.dataSync(), u = n.dataSync(), l = a ? a.dataSync() : new Float32Array([1]), c = o ? o.dataSync() : new Float32Array([0]), d = new Float32Array(i.length), p = 0; p < i.length; p++) d[p] = c[p % c.length] + (i[p] - s[p % s.length]) * l[p % l.length] / Math.sqrt(u[p % u.length] + r);return tensor4d(d, e.shape);
+  }, e.prototype.localResponseNormalization4D = function (e, t, n, r, a) {
+    var o = buffer(e.shape, "float32"),
+        i = t,
+        s = o.shape[3] - 1;function u(t, n, r, a) {
+      for (var o = 0, u = Math.max(0, a - i); u <= Math.min(a + i, s); u++) {
+        var l = e.get(t, n, r, u);o += l * l;
+      }return o;
+    }for (var l = 0; l < o.shape[0]; l++) for (var c = 0; c <= o.shape[1]; c++) for (var d = 0; d < o.shape[2]; d++) for (var p = 0; p < o.shape[3]; p++) {
+      var h = u(l, c, d, p),
+          f = e.get(l, c, d, p) * Math.pow(n + r * h, -a);o.set(f, l, c, d, p);
+    }return o.toTensor();
+  }, e.prototype.multinomial = function (e, t, n, r) {
+    for (var a = t ? e : softmax(e), o = a.shape[0], i = a.shape[1], s = zeros([o, n], "int32"), u = s.dataSync(), l = a.dataSync(), c = 0; c < o; ++c) {
+      var d = c * i,
+          p = new Float32Array(i - 1);p[0] = l[d];for (var h = 1; h < p.length; ++h) p[h] = p[h - 1] + l[d + h];for (var f = seedrandom_1(r.toString()), g = c * n, m = 0; m < n; ++m) {
+        var v = f();u[g + m] = p.length;for (var y = 0; y < p.length; y++) if (v < p[y]) {
+          u[g + m] = y;break;
+        }
+      }
+    }return s;
+  }, e.prototype.oneHot = function (e, t, n, r) {
+    var a = new Float32Array(e.size * t);a.fill(r);for (var o = 0; o < e.size; ++o) e.get(o) >= 0 && e.get(o) < t && (a[o * t + e.get(o)] = n);return tensor2d(a, [e.size, t], "int32");
+  }, e.prototype.broadcastedBinaryOp = function (e, t, n, r) {
+    for (var a = assertAndGetBroadcastShape(e.shape, t.shape), o = buffer(a, n), i = e.dataSync(), s = t.dataSync(), u = getBroadcastDims(e.shape, a), l = getBroadcastDims(t.shape, a), c = e.buffer(), d = t.buffer(), p = function (n) {
+      var a = o.indexToLoc(n),
+          p = a.slice(-e.rank);u.forEach(function (e) {
+        return p[e] = 0;
+      });var h = c.locToIndex(p),
+          f = a.slice(-t.rank);l.forEach(function (e) {
+        return f[e] = 0;
+      });var g = d.locToIndex(f);o.values[n] = r(i[h], s[g]);
+    }, h = 0; h < o.values.length; ++h) p(h);return o.toTensor();
+  }, e.prototype.dispose = function () {}, e;
+}();ENV.registerBackend("cpu", function () {
+  return new MathBackendCPU();
+}, 1);var BrowserUtil = function () {
+  function e() {}return e.nextFrame = function () {
+    return new Promise(function (e) {
+      return requestAnimationFrame(function () {
+        return e();
+      });
+    });
+  }, __decorate([doc({ heading: "Performance", subheading: "Timing" })], e, "nextFrame", null), e;
+}(),
+    DTYPE_VALUE_SIZE_MAP = { float32: 4, int32: 4, uint16: 2, uint8: 1, bool: 1 };function encodeWeights(e) {
+  return __awaiter(this, void 0, void 0, function () {
+    var t, n, r, a;return __generator(this, function (o) {
+      switch (o.label) {case 0:
+          for (r in t = [], n = [], e) {
+            if ("float32" !== (a = e[r]).dtype && "int32" !== a.dtype && "bool" !== a.dtype) throw new Error("Unsupported dtype in weight '" + r + "': " + a.dtype);t.push({ name: r, shape: a.shape, dtype: a.dtype }), n.push(a.data());
+          }return [4, Promise.all(n)];case 1:
+          return [2, { data: concatenateTypedArrays(o.sent()), specs: t }];}
+    });
+  });
+}function decodeWeights(e, t) {
+  for (var n = {}, r = 0, a = 0, o = t; a < o.length; a++) {
+    var i = o[a],
+        s = i.name,
+        u = i.dtype,
+        l = i.shape;if (null != i.quantization) throw new Error("decodeWeights does not support quantization yet, but encountered weight '" + s + " with quantization.'");var c = sizeFromShape(l),
+        d = void 0;if ("float32" === u) d = ArrayOps.tensor(new Float32Array(e, r, c), l, "float32");else if ("int32" === u) d = ArrayOps.tensor(new Int32Array(e, r, c), l, "int32");else {
+      if ("bool" !== u) throw new Error("Unsupported dtype in weight '" + s + "': " + u);d = ArrayOps.tensor(new Uint8Array(e, r, c), l, "bool");
+    }n[s] = d, r += c * DTYPE_VALUE_SIZE_MAP[u];
+  }return n;
+}function concatenateTypedArrays(e) {
+  if (null === e) throw new Error("Invalid input value: " + JSON.stringify(e));var t = 0;e.forEach(function (e) {
+    if (e instanceof Float32Array || e instanceof Int32Array) t += e.buffer.byteLength;else {
+      if (!(e instanceof Uint8Array)) throw new Error("Unsupported TypedArray subtype: " + e.constructor.name);t += e.buffer.byteLength;
+    }
+  });var n = new Uint8Array(t),
+      r = 0;return e.forEach(function (e) {
+    n.set(new Uint8Array(e.buffer), r), r += e.buffer.byteLength;
+  }), n.buffer;
+}function stringByteLength(e) {
+  return new Blob([e]).size;
+}function arrayBufferToBase64String(e) {
+  return btoa(String.fromCharCode.apply(null, new Uint8Array(e)));
+}function base64StringToArrayBuffer(e) {
+  for (var t = atob(e), n = new Uint8Array(t.length), r = 0; r < t.length; ++r) n.set([t.charCodeAt(r)], r);return n.buffer;
+}function concatenateArrayBuffers(e) {
+  var t = 0;e.forEach(function (e) {
+    t += e.byteLength;
+  });var n = new Uint8Array(t),
+      r = 0;return e.forEach(function (e) {
+    n.set(new Uint8Array(e), r), r += e.byteLength;
+  }), n.buffer;
+}function basename(e) {
+  for (e = e.trim(); e.endsWith("/");) e = e.slice(0, e.length - 1);var t = e.split("/");return t[t.length - 1];
+}function getModelArtifactsInfoForJSON(e) {
+  if (e.modelTopology instanceof ArrayBuffer) throw new Error("Expected JSON model topology, received ArrayBuffer.");return { dateSaved: new Date(), modelTopologyType: "JSON", modelTopologyBytes: null == e.modelTopology ? 0 : stringByteLength(JSON.stringify(e.modelTopology)), weightSpecsBytes: null == e.weightSpecs ? 0 : stringByteLength(JSON.stringify(e.weightSpecs)), weightDataBytes: null == e.weightData ? 0 : e.weightData.byteLength };
+}var IORouterRegistry = function () {
+  function e() {
+    this.saveRouters = [], this.loadRouters = [];
+  }return e.getInstance = function () {
+    return null == e.instance && (e.instance = new e()), e.instance;
+  }, e.registerSaveRouter = function (t) {
+    e.getInstance().saveRouters.push(t);
+  }, e.registerLoadRouter = function (t) {
+    e.getInstance().loadRouters.push(t);
+  }, e.getSaveHandlers = function (t) {
+    return e.getHandlers(t, "save");
+  }, e.getLoadHandlers = function (t) {
+    return e.getHandlers(t, "load");
+  }, e.getHandlers = function (e, t) {
+    var n = [];return ("load" === t ? this.getInstance().loadRouters : this.getInstance().saveRouters).forEach(function (t) {
+      var r = t(e);null !== r && n.push(r);
+    }), n;
+  }, e;
+}(),
+    URL_SCHEME_SUFFIX = "://",
+    ModelStoreManagerRegistry = function () {
+  function e() {
+    this.managers = {};
+  }return e.getInstance = function () {
+    return null == e.instance && (e.instance = new e()), e.instance;
+  }, e.registerManager = function (t, n) {
+    assert(null != t, "scheme must not be undefined or null."), t.endsWith(URL_SCHEME_SUFFIX) && (t = t.slice(0, t.indexOf(URL_SCHEME_SUFFIX))), assert(t.length > 0, "scheme must not be an empty string.");var r = e.getInstance();assert(null == r.managers[t], "A model store manager is already registered for scheme '" + t + "'."), r.managers[t] = n;
+  }, e.getManager = function (e) {
+    var t = this.getInstance().managers[e];if (null == t) throw new Error("Cannot find model manager for scheme '" + e + "'");return t;
+  }, e.getSchemes = function () {
+    return Object.keys(this.getInstance().managers);
+  }, e;
+}();function parseURL(e) {
+  if (-1 === e.indexOf(URL_SCHEME_SUFFIX)) throw new Error("The url string provided does not contain a scheme. Supported schemes are: " + ModelStoreManagerRegistry.getSchemes().join(","));return { scheme: e.split(URL_SCHEME_SUFFIX)[0], path: e.split(URL_SCHEME_SUFFIX)[1] };
+}function cloneModelInternal(e, t, n) {
+  return void 0 === n && (n = !1), __awaiter(this, void 0, void 0, function () {
+    var r, a, o, i, s, u, l, c, d;return __generator(this, function (p) {
+      switch (p.label) {case 0:
+          return assert(e !== t, "Old path and new path are the same: '" + e + "'"), assert((r = IORouterRegistry.getLoadHandlers(e)).length > 0, "Copying failed because no load handler is found for source URL " + e + "."), assert(r.length < 2, "Copying failed because more than one (" + r.length + ") load handlers for source URL " + e + "."), a = r[0], assert((o = IORouterRegistry.getSaveHandlers(t)).length > 0, "Copying failed because no save handler is found for destination URL " + t + "."), assert(o.length < 2, "Copying failed because more than one (" + r.length + ") save handlers for destination URL " + t + "."), i = o[0], s = parseURL(e).scheme, u = parseURL(e).path, l = s === parseURL(e).scheme, [4, a.load()];case 1:
+          return c = p.sent(), n && l ? [4, ModelStoreManagerRegistry.getManager(s).removeModel(u)] : [3, 3];case 2:
+          p.sent(), p.label = 3;case 3:
+          return [4, i.save(c)];case 4:
+          return d = p.sent(), !n || l ? [3, 6] : [4, ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:
+          p.sent(), p.label = 6;case 6:
+          return [2, d.modelArtifactsInfo];}
+    });
+  });
+}var ModelManagement = function () {
+  function e() {}return e.listModels = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e, t, n, r, a, o, i;return __generator(this, function (s) {
+        switch (s.label) {case 0:
+            e = ModelStoreManagerRegistry.getSchemes(), t = {}, n = 0, r = e, s.label = 1;case 1:
+            return n < r.length ? (a = r[n], [4, ModelStoreManagerRegistry.getManager(a).listModels()]) : [3, 4];case 2:
+            for (i in o = s.sent()) t[a + URL_SCHEME_SUFFIX + i] = o[i];s.label = 3;case 3:
+            return n++, [3, 1];case 4:
+            return [2, t];}
+      });
+    });
+  }, e.removeModel = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t;return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return t = parseURL(e), [4, ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:
+            return [2, n.sent()];}
+      });
+    });
+  }, e.copyModel = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return [4, cloneModelInternal(e, t, !1)];case 1:
+            return [2, n.sent()];}
+      });
+    });
+  }, e.moveModel = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return [4, cloneModelInternal(e, t, !0)];case 1:
+            return [2, n.sent()];}
+      });
+    });
+  }, __decorate([doc({ heading: "Models", subheading: "Management", namespace: "io" })], e, "listModels", null), __decorate([doc({ heading: "Models", subheading: "Management", namespace: "io" })], e, "removeModel", null), __decorate([doc({ heading: "Models", subheading: "Management", namespace: "io" })], e, "copyModel", null), __decorate([doc({ heading: "Models", subheading: "Management", namespace: "io" })], e, "moveModel", null), e;
+}(),
+    DATABASE_NAME = "tensorflowjs",
+    DATABASE_VERSION = 1,
+    MODEL_STORE_NAME = "models_store",
+    INFO_STORE_NAME = "model_info_store";function getIndexedDBFactory() {
+  if (!ENV.get("IS_BROWSER")) throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");var e = window,
+      t = e.indexedDB || e.mozIndexedDB || e.webkitIndexedDB || e.msIndexedDB || e.shimIndexedDB;if (null == t) throw new Error("The current browser does not appear to support IndexedDB.");return t;
+}function setUpDatabase(e) {
+  var t = e.result;t.createObjectStore(MODEL_STORE_NAME, { keyPath: "modelPath" }), t.createObjectStore(INFO_STORE_NAME, { keyPath: "modelPath" });
+}var BrowserIndexedDB = function () {
+  function e(e) {
+    if (this.indexedDB = getIndexedDBFactory(), null == e || !e) throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath = e;
+  }return e.prototype.save = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (t) {
+        if (e.modelTopology instanceof ArrayBuffer) throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return [2, this.databaseAction(this.modelPath, e)];
+      });
+    });
+  }, e.prototype.load = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2, this.databaseAction(this.modelPath)];
+      });
+    });
+  }, e.prototype.databaseAction = function (e, t) {
+    var n = this;return new Promise(function (e, r) {
+      var a = n.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);a.onupgradeneeded = function () {
+        return setUpDatabase(a);
+      }, a.onsuccess = function () {
+        var o = a.result;if (null == t) {
+          var i = o.transaction(MODEL_STORE_NAME, "readonly"),
+              s = i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess = function () {
+            if (null == s.result) return o.close(), r(new Error("Cannot find model with path '" + n.modelPath + "' in IndexedDB."));e(s.result.modelArtifacts);
+          }, s.onerror = function (e) {
+            return o.close(), r(s.error);
+          }, i.oncomplete = function () {
+            return o.close();
+          };
+        } else {
+          var u,
+              l = getModelArtifactsInfoForJSON(t),
+              c = o.transaction(INFO_STORE_NAME, "readwrite"),
+              d = c.objectStore(INFO_STORE_NAME),
+              p = d.put({ modelPath: n.modelPath, modelArtifactsInfo: l });p.onsuccess = function () {
+            var a = (u = o.transaction(MODEL_STORE_NAME, "readwrite")).objectStore(MODEL_STORE_NAME).put({ modelPath: n.modelPath, modelArtifacts: t, modelArtifactsInfo: l });a.onsuccess = function () {
+              return e({ modelArtifactsInfo: l });
+            }, a.onerror = function (e) {
+              var t = (d = c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess = function () {
+                return o.close(), r(a.error);
+              }, t.onerror = function (e) {
+                return o.close(), r(a.error);
+              };
+            };
+          }, p.onerror = function (e) {
+            return o.close(), r(p.error);
+          }, c.oncomplete = function () {
+            null == u ? o.close() : u.oncomplete = function () {
+              return o.close();
+            };
+          };
+        }
+      }, a.onerror = function (e) {
+        return r(a.error);
+      };
+    });
+  }, e.URL_SCHEME = "indexeddb://", e;
+}(),
+    indexedDBRouter = function (e) {
+  return ENV.get("IS_BROWSER") && e.startsWith(BrowserIndexedDB.URL_SCHEME) ? browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)) : null;
+};function browserIndexedDB(e) {
+  return new BrowserIndexedDB(e);
+}function maybeStripScheme(e) {
+  return e.startsWith(BrowserIndexedDB.URL_SCHEME) ? e.slice(BrowserIndexedDB.URL_SCHEME.length) : e;
+}IORouterRegistry.registerSaveRouter(indexedDBRouter), IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager = function () {
+  function e() {
+    this.indexedDB = getIndexedDBFactory();
+  }return e.prototype.listModels = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e = this;return __generator(this, function (t) {
+        return [2, new Promise(function (t, n) {
+          var r = e.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);r.onupgradeneeded = function () {
+            return setUpDatabase(r);
+          }, r.onsuccess = function () {
+            var e = r.result,
+                a = e.transaction(INFO_STORE_NAME, "readonly"),
+                o = a.objectStore(INFO_STORE_NAME).getAll();o.onsuccess = function () {
+              for (var e = {}, n = 0, r = o.result; n < r.length; n++) {
+                var a = r[n];e[a.modelPath] = a.modelArtifactsInfo;
+              }t(e);
+            }, o.onerror = function (t) {
+              return e.close(), n(o.error);
+            }, a.oncomplete = function () {
+              return e.close();
+            };
+          }, r.onerror = function (e) {
+            return n(r.error);
+          };
+        })];
+      });
+    });
+  }, e.prototype.removeModel = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t = this;return __generator(this, function (n) {
+        return e = maybeStripScheme(e), [2, new Promise(function (n, r) {
+          var a = t.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);a.onupgradeneeded = function () {
+            return setUpDatabase(a);
+          }, a.onsuccess = function () {
+            var t,
+                o = a.result,
+                i = o.transaction(INFO_STORE_NAME, "readwrite"),
+                s = i.objectStore(INFO_STORE_NAME),
+                u = s.get(e);u.onsuccess = function () {
+              if (null == u.result) return o.close(), r(new Error("Cannot find model with path '" + e + "' in IndexedDB."));var a = s.delete(e),
+                  i = function () {
+                var a = (t = o.transaction(MODEL_STORE_NAME, "readwrite")).objectStore(MODEL_STORE_NAME).delete(e);a.onsuccess = function () {
+                  return n(u.result.modelArtifactsInfo);
+                }, a.onerror = function (e) {
+                  return r(u.error);
+                };
+              };a.onsuccess = i, a.onerror = function (e) {
+                return i(), o.close(), r(u.error);
+              };
+            }, u.onerror = function (e) {
+              return o.close(), r(u.error);
+            }, i.oncomplete = function () {
+              null == t ? o.close() : t.oncomplete = function () {
+                return o.close();
+              };
+            };
+          }, a.onerror = function (e) {
+            return r(a.error);
+          };
+        })];
+      });
+    });
+  }, e;
+}();if (ENV.get("IS_BROWSER")) try {
+  ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());
+} catch (e) {}var PATH_SEPARATOR = "/",
+    PATH_PREFIX = "tensorflowjs_models",
+    INFO_SUFFIX = "info",
+    MODEL_TOPOLOGY_SUFFIX = "model_topology",
+    WEIGHT_SPECS_SUFFIX = "weight_specs",
+    WEIGHT_DATA_SUFFIX = "weight_data";function getModelKeys(e) {
+  return { info: [PATH_PREFIX, e, INFO_SUFFIX].join(PATH_SEPARATOR), topology: [PATH_PREFIX, e, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR), weightSpecs: [PATH_PREFIX, e, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR), weightData: [PATH_PREFIX, e, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR) };
+}function getModelPathFromKey(e) {
+  var t = e.split(PATH_SEPARATOR);if (t.length < 3) throw new Error("Invalid key format: " + e);return t.slice(1, t.length - 1).join(PATH_SEPARATOR);
+}function maybeStripScheme$1(e) {
+  return e.startsWith(BrowserLocalStorage.URL_SCHEME) ? e.slice(BrowserLocalStorage.URL_SCHEME.length) : e;
+}var BrowserLocalStorage = function () {
+  function e(e) {
+    if (!ENV.get("IS_BROWSER") || void 0 === window.localStorage) throw new Error("The current environment does not support local storage.");if (this.LS = window.localStorage, null == e || !e) throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath = e, this.keys = getModelKeys(this.modelPath);
+  }return e.prototype.save = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n, r, a;return __generator(this, function (o) {
+        if (e.modelTopology instanceof ArrayBuffer) throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");t = JSON.stringify(e.modelTopology), n = JSON.stringify(e.weightSpecs), r = getModelArtifactsInfoForJSON(e);try {
+          return this.LS.setItem(this.keys.info, JSON.stringify(r)), this.LS.setItem(this.keys.topology, t), this.LS.setItem(this.keys.weightSpecs, n), this.LS.setItem(this.keys.weightData, arrayBufferToBase64String(e.weightData)), [2, { modelArtifactsInfo: r }];
+        } catch (e) {
+          for (a in this.keys) this.LS.removeItem(this.keys[a]);throw new Error("Failed to save model '" + this.modelPath + "' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=" + r.modelTopologyBytes + ", weightSpecsBytes=" + r.weightSpecsBytes + ", weightDataBytes=" + r.weightDataBytes + ".");
+        }return [2];
+      });
+    });
+  }, e.prototype.load = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e, t, n, r, a;return __generator(this, function (o) {
+        if (null == (e = JSON.parse(this.LS.getItem(this.keys.info)))) throw new Error("In local storage, there is no model with name '" + this.modelPath + "'");if ("JSON" !== e.modelTopologyType) throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if (t = {}, null == (n = JSON.parse(this.LS.getItem(this.keys.topology)))) throw new Error("In local storage, the topology of model '" + this.modelPath + "' is missing.");if (t.modelTopology = n, null == (r = JSON.parse(this.LS.getItem(this.keys.weightSpecs)))) throw new Error("In local storage, the weight specs of model '" + this.modelPath + "' are missing.");if (t.weightSpecs = r, null == (a = this.LS.getItem(this.keys.weightData))) throw new Error("In local storage, the binary weight values of model '" + this.modelPath + "' are missing.");return t.weightData = base64StringToArrayBuffer(a), [2, t];
+      });
+    });
+  }, e.URL_SCHEME = "localstorage://", e;
+}(),
+    localStorageRouter = function (e) {
+  return ENV.get("IS_BROWSER") && e.startsWith(BrowserLocalStorage.URL_SCHEME) ? browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)) : null;
+};function browserLocalStorage(e) {
+  return new BrowserLocalStorage(e);
+}IORouterRegistry.registerSaveRouter(localStorageRouter), IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager = function () {
+  function e() {
+    assert(ENV.get("IS_BROWSER"), "Current environment is not a web browser"), assert(void 0 !== window.localStorage, "Current browser does not appear to support localStorage"), this.LS = window.localStorage;
+  }return e.prototype.listModels = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e, t, n, r, a, o;return __generator(this, function (i) {
+        for (e = {}, t = PATH_PREFIX + PATH_SEPARATOR, n = PATH_SEPARATOR + INFO_SUFFIX, r = 0; r < this.LS.length; ++r) (a = this.LS.key(r)).startsWith(t) && a.endsWith(n) && (o = getModelPathFromKey(a), e[o] = JSON.parse(this.LS.getItem(a)));return [2, e];
+      });
+    });
+  }, e.prototype.removeModel = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n;return __generator(this, function (r) {
+        if (e = maybeStripScheme$1(e), t = getModelKeys(e), null == this.LS.getItem(t.info)) throw new Error("Cannot find model at path '" + e + "'");return n = JSON.parse(this.LS.getItem(t.info)), this.LS.removeItem(t.info), this.LS.removeItem(t.topology), this.LS.removeItem(t.weightSpecs), this.LS.removeItem(t.weightData), [2, n];
+      });
+    });
+  }, e;
+}();if (ENV.get("IS_BROWSER")) try {
+  ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());
+} catch (e) {}var DEFAULT_FILE_NAME_PREFIX = "model",
+    DEFAULT_JSON_EXTENSION_NAME = ".json",
+    DEFAULT_WEIGHT_DATA_EXTENSION_NAME = ".weights.bin",
+    BrowserDownloads = function () {
+  function e(t) {
+    if (!ENV.get("IS_BROWSER")) throw new Error("triggerDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(e.URL_SCHEME) && (t = t.slice(e.URL_SCHEME.length)), null != t && 0 !== t.length || (t = DEFAULT_FILE_NAME_PREFIX), this.modelTopologyFileName = t + DEFAULT_JSON_EXTENSION_NAME, this.weightDataFileName = t + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;
+  }return e.prototype.save = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n, r, a, o, i;return __generator(this, function (s) {
+        if (t = window.URL.createObjectURL(new Blob([e.weightData], { type: "application/octet-stream" })), e.modelTopology instanceof ArrayBuffer) throw new Error("DownloadTrigger.save() does not support saving model topology in binary formats yet.");return n = [{ paths: ["./" + this.weightDataFileName], weights: e.weightSpecs }], r = { modelTopology: e.modelTopology, weightsManifest: n }, a = window.URL.createObjectURL(new Blob([JSON.stringify(r)], { type: "application/json" })), (o = null == this.jsonAnchor ? document.createElement("a") : this.jsonAnchor).download = this.modelTopologyFileName, o.href = a, o.click(), null != e.weightData && ((i = null == this.weightDataAnchor ? document.createElement("a") : this.weightDataAnchor).download = this.weightDataFileName, i.href = t, i.click()), [2, { modelArtifactsInfo: getModelArtifactsInfoForJSON(e) }];
+      });
+    });
+  }, e.URL_SCHEME = "downloads://", e;
+}(),
+    BrowserFiles = function () {
+  function e(e) {
+    if (null == e || e.length < 1) throw new Error("When calling browserFiles, at least 1 file is required, but received " + e);this.files = e;
+  }return e.prototype.load = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e,
+          t,
+          n = this;return __generator(this, function (r) {
+        return e = this.files[0], t = this.files.slice(1), [2, new Promise(function (r, a) {
+          var o = new FileReader();o.onload = function (o) {
+            var i = JSON.parse(o.target.result),
+                s = i.modelTopology;if (null != s) {
+              0 === t.length && r({ modelTopology: s });var u = i.weightsManifest;if (null != u) {
+                var l;try {
+                  l = n.checkManifestAndWeightFiles(u, t);
+                } catch (e) {
+                  return void a(e);
+                }var c = [],
+                    d = [],
+                    p = [];u.forEach(function (e) {
+                  e.paths.forEach(function (e) {
+                    d.push(e), p.push(null);
+                  }), c.push.apply(c, e.weights);
+                }), u.forEach(function (e) {
+                  e.paths.forEach(function (e) {
+                    var t = new FileReader();t.onload = function (t) {
+                      var n = t.target.result,
+                          a = d.indexOf(e);p[a] = n, -1 === p.indexOf(null) && r({ modelTopology: s, weightSpecs: c, weightData: concatenateArrayBuffers(p) });
+                    }, t.onerror = function (t) {
+                      a("Failed to weights data from file of path '" + e + "'.");
+                    }, t.readAsArrayBuffer(l[e]);
+                  });
+                });
+              } else a(new Error("weightManifest field is missing from file " + e.name));
+            } else a(new Error("modelTopology field is missing from file " + e.name));
+          }, o.onerror = function (t) {
+            a("Failed to read model topology and weights manifest JSON from file '" + e.name + "'. BrowserFiles supports loading Keras-style tf.Model artifacts only.");
+          }, o.readAsText(e);
+        })];
+      });
+    });
+  }, e.prototype.checkManifestAndWeightFiles = function (e, t) {
+    for (var n = [], r = t.map(function (e) {
+      return basename(e.name);
+    }), a = {}, o = 0, i = e; o < i.length; o++) {
+      i[o].paths.forEach(function (e) {
+        var o = basename(e);if (-1 !== n.indexOf(o)) throw new Error("Duplicate file basename found in weights manifest: '" + o + "'");if (n.push(o), -1 === r.indexOf(o)) throw new Error("Weight file with basename '" + o + "' is not provided.");a[e] = t[r.indexOf(o)];
+      });
+    }if (n.length !== t.length) throw new Error("Mismatch in the number of files in weights manifest (" + n.length + ") and the number of weight files provided (" + t.length + ").");return a;
+  }, e;
+}(),
+    browserDownloadsRouter = function (e) {
+  return ENV.get("IS_BROWSER") && e.startsWith(BrowserDownloads.URL_SCHEME) ? browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)) : null;
+};function browserDownloads(e) {
+  return void 0 === e && (e = "model"), new BrowserDownloads(e);
+}function browserFiles(e) {
+  return new BrowserFiles(e);
+}function loadWeightsAsArrayBuffer(e, t) {
+  return __awaiter(this, void 0, void 0, function () {
+    var n, r;return __generator(this, function (a) {
+      switch (a.label) {case 0:
+          return n = e.map(function (e) {
+            return fetch(e, t);
+          }), [4, Promise.all(n)];case 1:
+          return r = a.sent(), [4, Promise.all(r.map(function (e) {
+            return e.arrayBuffer();
+          }))];case 2:
+          return [2, a.sent()];}
+    });
+  });
+}function loadWeights(e, t, n, r) {
+  return void 0 === t && (t = ""), __awaiter(this, void 0, void 0, function () {
+    var a, o, i, s, u, l, c, d, p, h;return __generator(this, function (f) {
+      switch (f.label) {case 0:
+          if (a = e.map(function () {
+            return !1;
+          }), o = {}, i = null != n ? n.map(function () {
+            return !1;
+          }) : [], s = [], e.forEach(function (e, t) {
+            var r = 0;e.weights.forEach(function (e) {
+              var u = "quantization" in e ? e.quantization.dtype : e.dtype,
+                  l = DTYPE_VALUE_SIZE_MAP[u] * sizeFromShape(e.shape),
+                  c = function () {
+                a[t] = !0, null == o[t] && (o[t] = []), o[t].push({ manifestEntry: e, groupOffset: r, sizeBytes: l });
+              };null != n ? n.forEach(function (t, n) {
+                t === e.name && (c(), i[n] = !0);
+              }) : c(), s.push(e.name), r += l;
+            });
+          }), !i.every(function (e) {
+            return e;
+          })) throw u = n.filter(function (e, t) {
+            return !i[t];
+          }), new Error("Could not find weights in manifest with names: " + u.join(", ") + ". \nManifest JSON has weights with names: " + s.join(", ") + ".");return l = a.reduce(function (e, t, n) {
+            return t && e.push(n), e;
+          }, []), c = [], l.forEach(function (n) {
+            e[n].paths.forEach(function (e) {
+              var n = t + (t.endsWith("/") ? "" : "/") + e;c.push(n);
+            });
+          }), [4, loadWeightsAsArrayBuffer(c, r)];case 1:
+          return d = f.sent(), p = {}, h = 0, l.forEach(function (t) {
+            for (var n = e[t].paths.length, r = 0, a = 0; a < n; a++) r += d[h + a].byteLength;for (var i = new ArrayBuffer(r), s = new Uint8Array(i), u = 0, l = 0; l < n; l++) {
+              var c = new Uint8Array(d[h + l]);s.set(c, u), u += c.byteLength;
+            }o[t].forEach(function (e) {
+              var t,
+                  n = i.slice(e.groupOffset, e.groupOffset + e.sizeBytes),
+                  r = e.manifestEntry.dtype;if ("quantization" in e.manifestEntry) {
+                var a = e.manifestEntry.quantization;if ("uint8" !== a.dtype && "uint16" !== a.dtype) throw new Error("Weight " + e.manifestEntry.name + " has unknown quantization dtype " + a.dtype + ".");var o = "uint8" === a.dtype ? new Uint8Array(n) : new Uint16Array(n);if ("float32" === r) t = Float32Array.from(o, function (e) {
+                  return e * a.scale + a.min;
+                });else {
+                  if ("int32" !== r) throw new Error("Weight " + e.manifestEntry.name + " has a dtype not supported by quantization: " + r);t = Int32Array.from(o, function (e) {
+                    return Math.round(e * a.scale + a.min);
+                  });
+                }
+              } else if ("float32" === r) t = new Float32Array(n);else {
+                if ("int32" !== r) throw new Error("Weight " + e.manifestEntry.name + " has unknown dtype " + r + ".");t = new Int32Array(n);
+              }var s = e.manifestEntry.name;if (null != p[s]) throw new Error("Duplicate weight with name " + s + ". Please make sure weights names are unique in the manifest JSON.");p[s] = tensor(t, e.manifestEntry.shape, e.manifestEntry.dtype);
+            }), h += n;
+          }), [2, p];}
+    });
+  });
+}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest = function () {
+  function e(e, t) {
+    if (this.DEFAULT_METHOD = "POST", !ENV.get("IS_BROWSER")) throw new Error("browserHTTPRequest is not supported outside the web browser.");if (assert(null != e && e.length > 0, "URL path for browserHTTPRequest must not be null, undefined or empty."), this.path = e, null != t && null != t.body) throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit = t || {};
+  }return e.prototype.save = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n, r, a;return __generator(this, function (o) {
+        switch (o.label) {case 0:
+            if (e.modelTopology instanceof ArrayBuffer) throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");return (t = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit)).body = new FormData(), n = [{ paths: ["./model.weights.bin"], weights: e.weightSpecs }], r = { modelTopology: e.modelTopology, weightsManifest: n }, t.body.append("model.json", new Blob([JSON.stringify(r)], { type: "application/json" }), "model.json"), null != e.weightData && t.body.append("model.weights.bin", new Blob([e.weightData], { type: "application/octet-stream" }), "model.weights.bin"), [4, fetch(this.path, t)];case 1:
+            if (200 === (a = o.sent()).status) return [2, { modelArtifactsInfo: getModelArtifactsInfoForJSON(e), responses: [a] }];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status " + a.status + ".");}
+      });
+    });
+  }, e.prototype.load = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e, t, n, r, a, o, i, s, u, l, c, d;return __generator(this, function (p) {
+        switch (p.label) {case 0:
+            return [4, fetch(this.path, this.requestInit)];case 1:
+            return [4, p.sent().json()];case 2:
+            if (e = p.sent(), t = e.modelTopology, n = e.weightsManifest, null == t && null == n) throw new Error("The JSON from HTTP path " + this.path + " contains neither model topology or manifest for weights.");if (null == n) return [3, 4];for (o = e.weightsManifest, r = [], i = 0, s = o; i < s.length; i++) u = s[i], r.push.apply(r, u.weights);return (l = this.path.substring(0, this.path.lastIndexOf("/"))).endsWith("/") || (l += "/"), c = [], o.forEach(function (e) {
+              e.paths.forEach(function (e) {
+                c.push(l + e);
+              });
+            }), d = concatenateArrayBuffers, [4, loadWeightsAsArrayBuffer(c, this.requestInit)];case 3:
+            a = d.apply(void 0, [p.sent()]), p.label = 4;case 4:
+            return [2, { modelTopology: t, weightSpecs: r, weightData: a }];}
+      });
+    });
+  }, e.URL_SCHEMES = ["http://", "https://"], e;
+}(),
+    httpRequestRouter = function (e) {
+  if (ENV.get("IS_BROWSER")) {
+    for (var t = 0, n = BrowserHTTPRequest.URL_SCHEMES; t < n.length; t++) {
+      var r = n[t];if (e.startsWith(r)) return browserHTTPRequest(e);
+    }return null;
+  }return null;
+};function browserHTTPRequest(e, t) {
+  return new BrowserHTTPRequest(e, t);
+}IORouterRegistry.registerSaveRouter(httpRequestRouter), IORouterRegistry.registerLoadRouter(httpRequestRouter);var registerSaveRouter = IORouterRegistry.registerSaveRouter,
+    registerLoadRouter = IORouterRegistry.registerLoadRouter,
+    getSaveHandlers = IORouterRegistry.getSaveHandlers,
+    getLoadHandlers = IORouterRegistry.getLoadHandlers,
+    copyModel = ModelManagement.copyModel,
+    listModels = ModelManagement.listModels,
+    moveModel = ModelManagement.moveModel,
+    removeModel = ModelManagement.removeModel,
+    io = Object.freeze({ browserFiles: browserFiles, browserHTTPRequest: browserHTTPRequest, concatenateArrayBuffers: concatenateArrayBuffers, copyModel: copyModel, decodeWeights: decodeWeights, encodeWeights: encodeWeights, getLoadHandlers: getLoadHandlers, getModelArtifactsInfoForJSON: getModelArtifactsInfoForJSON, getSaveHandlers: getSaveHandlers, listModels: listModels, loadWeights: loadWeights, moveModel: moveModel, registerLoadRouter: registerLoadRouter, registerSaveRouter: registerSaveRouter, removeModel: removeModel }),
+    Serializable = function () {
+  function e() {}return e.prototype.getClassName = function () {
+    return this.constructor.className;
+  }, e.fromConfig = function (e, t) {
+    return new e(t);
+  }, e;
+}(),
+    SerializationMap = function () {
+  function e() {
+    this.classNameMap = {};
+  }return e.getMap = function () {
+    return null == e.instance && (e.instance = new e()), e.instance;
+  }, e.register = function (e) {
+    this.getMap().classNameMap[e.className] = [e, e.fromConfig];
+  }, e;
+}(),
+    serialization = Object.freeze({ Serializable: Serializable, SerializationMap: SerializationMap }),
+    WEBGL_ENVS = [{ BACKEND: "test-webgl", WEBGL_RENDER_FLOAT32_ENABLED: !0, WEBGL_DOWNLOAD_FLOAT_ENABLED: !0, WEBGL_VERSION: 1 }, { BACKEND: "test-webgl", WEBGL_RENDER_FLOAT32_ENABLED: !0, WEBGL_DOWNLOAD_FLOAT_ENABLED: !0, WEBGL_VERSION: 2 }],
+    CPU_ENVS = [{ BACKEND: "test-cpu" }],
+    CHROME_CPU_ENVS = [{ BACKEND: "test-cpu", IS_CHROME: !0 }],
+    NATIVE_ENV = {},
+    BROWSER_ENVS = WEBGL_ENVS.concat(CPU_ENVS),
+    ALL_ENVS = [NATIVE_ENV].concat(BROWSER_ENVS);function expectArraysClose(e, t, n) {
+  if (null == n && (n = ENV.get("TEST_EPSILON")), e instanceof Tensor || t instanceof Tensor) {
+    if (e instanceof Tensor && t instanceof Tensor) {
+      if (e.dtype !== t.dtype) throw new Error("Arrays are of different type actual: " + e.dtype + " vs expected: " + t.dtype + ".");if (!arraysEqual(e.shape, t.shape)) throw new Error("Arrays are of different shape actual: " + e.shape + " vs expected: " + t.shape + ".");
+    }
+  } else {
+    var r = e.constructor.name,
+        a = t.constructor.name;if (r !== a) throw new Error("Arrays are of different type actual: " + r + " vs expected: " + a);
+  }var o, i;if (o = e instanceof Tensor ? e.dataSync() : e, i = t instanceof Tensor ? t.dataSync() : t, o.length !== i.length) throw new Error("Arrays have different lengths actual: " + o.length + " vs expected: " + i.length + ".\nActual:   " + o + ".\nExpected: " + i + ".");for (var s = 0; s < i.length; ++s) {
+    var u = o[s],
+        l = i[s];if (!areClose(u, Number(l), n)) throw new Error("Arrays differ: actual[" + s + "] = " + u + ", expected[" + s + "] = " + l + ".\nActual:   " + o + ".\nExpected: " + i + ".");
+  }
+}function expectPromiseToFail(e, t) {
+  e().then(function () {
+    return t.fail();
+  }, function () {
+    return t();
+  });
+}function expectArraysEqual(e, t) {
+  return expectArraysClose(e, t, 0);
+}function expectNumbersClose(e, t, n) {
+  if (null == n && (n = ENV.get("TEST_EPSILON")), !areClose(e, t, n)) throw new Error("Numbers differ: actual === " + e + ", expected === " + t);
+}function areClose(e, t, n) {
+  return !(!isNaN(e) || !isNaN(t)) || !(isNaN(e) || isNaN(t) || Math.abs(e - t) > n);
+}function expectValuesInRange(e, t, n) {
+  var r;r = e instanceof Tensor ? e.dataSync() : e;for (var a = 0; a < r.length; a++) if (r[a] < t || r[a] > n) throw new Error("Value out of range:" + r[a] + " low: " + t + ", high: " + n);
+}function expectArrayBuffersEqual(e, t) {
+  expect(new Float32Array(e)).toEqual(new Float32Array(t));
+}var test_util = Object.freeze({ WEBGL_ENVS: WEBGL_ENVS, CPU_ENVS: CPU_ENVS, CHROME_CPU_ENVS: CHROME_CPU_ENVS, NATIVE_ENV: NATIVE_ENV, BROWSER_ENVS: BROWSER_ENVS, ALL_ENVS: ALL_ENVS, expectArraysClose: expectArraysClose, expectPromiseToFail: expectPromiseToFail, expectArraysEqual: expectArraysEqual, expectNumbersClose: expectNumbersClose, expectValuesInRange: expectValuesInRange, expectArrayBuffersEqual: expectArrayBuffersEqual }),
+    version = "0.11.9",
+    webgl = Object.freeze({ gpgpu_util: gpgpu_util, webgl_util: webgl_util, MathBackendWebGL: MathBackendWebGL, GPGPUContext: GPGPUContext }),
+    Optimizer = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.minimize = function (e, t, n) {
+    void 0 === t && (t = !1);var r = this.computeGradients(e, n),
+        a = r.value,
+        o = r.grads;return this.applyGradients(o), Object.keys(o).forEach(function (e) {
+      return o[e].dispose();
+    }), t ? a : (a.dispose(), null);
+  }, t.prototype.computeGradients = function (e, t) {
+    return variableGrads(e, t);
+  }, __decorate([doc({ heading: "Training", subheading: "Optimizers" })], t.prototype, "minimize", null), t = __decorate([doc({ heading: "Training", subheading: "Classes", namespace: "train" })], t);
+}(Serializable),
+    DEFAULT_FLOAT32_EPSILON = 1e-8,
+    DEFAULT_FLOAT16_EPSILON = 1e-4;function getOptimizerDefaultEpsilonValue() {
+  return ENV.get("WEBGL_RENDER_FLOAT32_ENABLED") ? DEFAULT_FLOAT32_EPSILON : DEFAULT_FLOAT16_EPSILON;
+}var AdadeltaOptimizer = function (e) {
+  function t(t, n, r) {
+    void 0 === r && (r = null);var a = e.call(this) || this;return a.learningRate = t, a.rho = n, a.epsilon = r, a.accumulatedGrads = {}, a.accumulatedUpdates = {}, a.c = keep(scalar(-t)), a.rhoScalar = keep(scalar(n)), a.oneMinusRho = keep(scalar(1 - n)), null === r && (r = getOptimizerDefaultEpsilonValue()), a.epsilonScalar = keep(scalar(r)), a;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this,
+        n = function (n) {
+      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedGrads[n]) {
+        tidy(function () {
+          t.accumulatedGrads[n] = zerosLike(a).variable(!1);
+        });
+      }if (null == r.accumulatedUpdates[n]) {
+        tidy(function () {
+          t.accumulatedUpdates[n] = zerosLike(a).variable(!1);
+        });
+      }var o = e[n],
+          i = r.accumulatedGrads[n],
+          s = r.accumulatedUpdates[n];tidy(function () {
+        var e = t.rhoScalar.mul(i).add(t.oneMinusRho.mul(o.square())),
+            r = s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(o),
+            u = t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e), t.accumulatedUpdates[n].assign(u);var l = t.c.mul(r).add(a);a.assign(l);
+      });
+    },
+        r = this;for (var a in e) n(a);
+  }, t.prototype.dispose = function () {
+    var e = this;this.c.dispose(), this.epsilonScalar.dispose(), this.rhoScalar.dispose(), this.oneMinusRho.dispose(), null != this.accumulatedUpdates && (Object.keys(this.accumulatedUpdates).forEach(function (t) {
+      return e.accumulatedUpdates[t].dispose();
+    }), Object.keys(this.accumulatedGrads).forEach(function (t) {
+      return e.accumulatedGrads[t].dispose();
+    }));
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, rho: this.rho, epsilon: this.epsilon };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.rho, t.epsilon);
+  }, t.className = "AdadeltaOptimizer", t;
+}(Optimizer);SerializationMap.register(AdadeltaOptimizer);var AdagradOptimizer = function (e) {
+  function t(t, n) {
+    void 0 === n && (n = .1);var r = e.call(this) || this;r.learningRate = t, r.initialAccumulatorValue = n, r.accumulatedGrads = {}, r.c = keep(scalar(-t));var a = getOptimizerDefaultEpsilonValue();return r.epsilon = keep(scalar(a)), r;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this,
+        n = function (n) {
+      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedGrads[n]) {
+        tidy(function () {
+          t.accumulatedGrads[n] = fill(a.shape, t.initialAccumulatorValue).variable(!1);
+        });
+      }var o = e[n],
+          i = r.accumulatedGrads[n];tidy(function () {
+        var e = i.add(o.square());t.accumulatedGrads[n].assign(e);var r = t.c.mul(o.div(e.add(t.epsilon).sqrt())).add(a);a.assign(r);
+      });
+    },
+        r = this;for (var a in e) n(a);
+  }, t.prototype.dispose = function () {
+    var e = this;this.epsilon.dispose(), this.c.dispose(), null != this.accumulatedGrads && Object.keys(this.accumulatedGrads).forEach(function (t) {
+      return e.accumulatedGrads[t].dispose();
+    });
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, initialAccumulatorValue: this.initialAccumulatorValue };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.initialAccumulatorValue);
+  }, t.className = "AdagradOptimizer", t;
+}(Optimizer);SerializationMap.register(AdagradOptimizer);var AdamOptimizer = function (e) {
+  function t(t, n, r, a) {
+    void 0 === a && (a = null);var o = e.call(this) || this;return o.learningRate = t, o.beta1 = n, o.beta2 = r, o.epsilon = a, o.accumulatedFirstMoment = {}, o.accumulatedSecondMoment = {}, o.c = keep(scalar(-t)), o.beta1Scalar = keep(scalar(n)), o.beta2Scalar = keep(scalar(r)), tidy(function () {
+      o.accBeta1 = scalar(n).variable(), o.accBeta2 = scalar(r).variable();
+    }), o.oneMinusBeta1 = keep(scalar(1 - n)), o.oneMinusBeta2 = keep(scalar(1 - r)), o.one = keep(scalar(1)), null === a && (a = getOptimizerDefaultEpsilonValue()), o.epsScalar = keep(scalar(a)), o;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this;tidy(function () {
+      var n = t.one.sub(t.accBeta1),
+          r = t.one.sub(t.accBeta2);for (var a in e) {
+        var o = ENV.engine.registeredVariables[a];if (null == t.accumulatedFirstMoment[a]) {
+          var i = !1;t.accumulatedFirstMoment[a] = zerosLike(o).variable(i);
+        }if (null == t.accumulatedSecondMoment[a]) {
+          i = !1;t.accumulatedSecondMoment[a] = zerosLike(o).variable(i);
+        }var s = e[a],
+            u = t.accumulatedFirstMoment[a],
+            l = t.accumulatedSecondMoment[a],
+            c = t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),
+            d = t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),
+            p = c.div(n),
+            h = d.div(r);t.accumulatedFirstMoment[a].assign(c), t.accumulatedSecondMoment[a].assign(d);var f = t.c.mul(p.div(t.epsScalar.add(h.sqrt()))).add(o);o.assign(f);
+      }t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)), t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar));
+    });
+  }, t.prototype.dispose = function () {
+    var e = this;this.c.dispose(), this.epsScalar.dispose(), this.beta1Scalar.dispose(), this.beta2Scalar.dispose(), this.accBeta1.dispose(), this.accBeta2.dispose(), this.oneMinusBeta1.dispose(), this.oneMinusBeta2.dispose(), this.one.dispose(), null != this.accumulatedFirstMoment && Object.keys(this.accumulatedFirstMoment).forEach(function (t) {
+      return e.accumulatedFirstMoment[t].dispose();
+    }), null != this.accumulatedSecondMoment && Object.keys(this.accumulatedSecondMoment).forEach(function (t) {
+      return e.accumulatedSecondMoment[t].dispose();
+    });
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, beta1: this.beta1, beta2: this.beta2, epsilon: this.epsilon };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.beta1, t.beta2, t.epsilon);
+  }, t.className = "AdamOptimizer", t;
+}(Optimizer);SerializationMap.register(AdamOptimizer);var AdamaxOptimizer = function (e) {
+  function t(t, n, r, a, o) {
+    void 0 === a && (a = null), void 0 === o && (o = 0);var i = e.call(this) || this;return i.learningRate = t, i.beta1 = n, i.beta2 = r, i.epsilon = a, i.decay = o, i.accumulatedFirstMoment = {}, i.accumulatedWeightedInfNorm = {}, i.c = keep(scalar(-t)), i.beta1Scalar = keep(scalar(n)), i.beta2Scalar = keep(scalar(r)), i.decayScalar = keep(scalar(o)), tidy(function () {
+      i.iteration = scalar(0).variable(), i.accBeta1 = scalar(n).variable();
+    }), i.oneMinusBeta1 = keep(scalar(1 - n)), i.one = keep(scalar(1)), null === a && (a = getOptimizerDefaultEpsilonValue()), i.epsScalar = keep(scalar(a)), i;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this;tidy(function () {
+      var n = t.one.sub(t.accBeta1),
+          r = t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for (var a in e) {
+        var o = ENV.engine.registeredVariables[a];if (null == t.accumulatedFirstMoment[a]) {
+          var i = !1;t.accumulatedFirstMoment[a] = zerosLike(o).variable(i);
+        }if (null == t.accumulatedWeightedInfNorm[a]) {
+          i = !1;t.accumulatedWeightedInfNorm[a] = zerosLike(o).variable(i);
+        }var s = e[a],
+            u = t.accumulatedFirstMoment[a],
+            l = t.accumulatedWeightedInfNorm[a],
+            c = t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),
+            d = t.beta2Scalar.mul(l),
+            p = s.abs(),
+            h = d.maximum(p);t.accumulatedFirstMoment[a].assign(c), t.accumulatedWeightedInfNorm[a].assign(h);var f = r.div(n).mul(c.div(t.epsScalar.add(h))).add(o);o.assign(f);
+      }t.iteration.assign(t.iteration.add(t.one)), t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar));
+    });
+  }, t.prototype.dispose = function () {
+    var e = this;this.c.dispose(), this.epsScalar.dispose(), this.accBeta1.dispose(), this.beta1Scalar.dispose(), this.beta2Scalar.dispose(), this.oneMinusBeta1.dispose(), this.decayScalar.dispose(), this.iteration.dispose(), this.one.dispose(), null != this.accumulatedFirstMoment && Object.keys(this.accumulatedFirstMoment).forEach(function (t) {
+      return e.accumulatedFirstMoment[t].dispose();
+    }), null != this.accumulatedWeightedInfNorm && Object.keys(this.accumulatedWeightedInfNorm).forEach(function (t) {
+      return e.accumulatedWeightedInfNorm[t].dispose();
+    });
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, beta1: this.beta1, beta2: this.beta2, epsilon: this.epsilon, decay: this.decay };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.beta1, t.beta2, t.epsilon, t.decay);
+  }, t.className = "AdamaxOptimizer", t;
+}(Optimizer);SerializationMap.register(AdamaxOptimizer);var SGDOptimizer = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.learningRate = t, n.setLearningRate(t), n;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this;Object.keys(e).forEach(function (n) {
+      var r = e[n],
+          a = ENV.engine.registeredVariables[n];tidy(function () {
+        var e = t.c.mul(r).add(a);a.assign(e);
+      });
+    });
+  }, t.prototype.setLearningRate = function (e) {
+    this.learningRate = e, null != this.c && this.c.dispose(), this.c = keep(scalar(-e));
+  }, t.prototype.dispose = function () {
+    this.c.dispose();
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate);
+  }, t.className = "SGDOptimizer", t;
+}(Optimizer);SerializationMap.register(SGDOptimizer);var MomentumOptimizer = function (e) {
+  function t(t, n, r) {
+    void 0 === r && (r = !1);var a = e.call(this, t) || this;return a.learningRate = t, a.momentum = n, a.useNesterov = r, a.m = scalar(a.momentum), a.accumulations = {}, a;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this,
+        n = function (n) {
+      var a = ENV.engine.registeredVariables[n];if (null == r.accumulations[n]) {
+        tidy(function () {
+          t.accumulations[n] = zerosLike(a).variable(!1);
+        });
+      }var o = r.accumulations[n],
+          i = e[n];tidy(function () {
+        var e,
+            r = t.m.mul(o).add(i);e = t.useNesterov ? t.c.mul(i.add(r.mul(t.m))).add(a) : t.c.mul(r).add(a), t.accumulations[n].assign(r), a.assign(e);
+      });
+    },
+        r = this;for (var a in e) n(a);
+  }, t.prototype.dispose = function () {
+    if (e.prototype.dispose.call(this), this.m.dispose(), null != this.accumulations) for (var t in this.accumulations) this.accumulations[t].dispose();
+  }, t.prototype.setMomentum = function (e) {
+    this.momentum = e;
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, momentum: this.momentum, useNesterov: this.useNesterov };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.momentum, t.useNesterov);
+  }, t.className = "MomentumOptimizer", t;
+}(SGDOptimizer);SerializationMap.register(MomentumOptimizer);var RMSPropOptimizer = function (e) {
+  function t(t, n, r, a, o) {
+    void 0 === n && (n = .9), void 0 === r && (r = 0), void 0 === a && (a = null), void 0 === o && (o = !1);var i = e.call(this) || this;return i.learningRate = t, i.decay = n, i.momentum = r, i.epsilon = a, i.accumulatedMeanSquares = {}, i.accumulatedMeanGrads = {}, i.accumulatedMoments = {}, i.c = keep(scalar(t)), i.decayScalar = keep(scalar(n)), i.momentumScalar = keep(scalar(r)), i.oneMinusDecay = keep(scalar(1 - n)), i.centered = o, null === a && (a = getOptimizerDefaultEpsilonValue()), i.epsilonScalar = keep(scalar(a)), i;
+  }return __extends(t, e), t.prototype.applyGradients = function (e) {
+    var t = this,
+        n = function (n) {
+      var a = ENV.engine.registeredVariables[n];if (null == r.accumulatedMeanSquares[n]) {
+        tidy(function () {
+          t.accumulatedMeanSquares[n] = zerosLike(a).variable(!1);
+        });
+      }if (null == r.accumulatedMeanGrads[n] && r.centered) {
+        tidy(function () {
+          t.accumulatedMeanGrads[n] = zerosLike(a).variable(!1);
+        });
+      }if (null == r.accumulatedMoments[n]) {
+        tidy(function () {
+          t.accumulatedMoments[n] = zerosLike(a).variable(!1);
+        });
+      }var o = r.accumulatedMeanSquares[n],
+          i = r.accumulatedMeanGrads[n],
+          s = r.accumulatedMoments[n],
+          u = e[n];tidy(function () {
+        var e = t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));if (t.centered) {
+          var r = t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),
+              l = t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(r.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[n].assign(e), t.accumulatedMeanGrads[n].assign(r), t.accumulatedMoments[n].assign(l);var c = a.sub(l);a.assign(c);
+        } else {
+          var d = t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));l = t.momentumScalar.mul(s).add(t.c.mul(u).div(d.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[n].assign(d), t.accumulatedMoments[n].assign(l);c = a.sub(l);a.assign(c);
+        }
+      });
+    },
+        r = this;for (var a in e) n(a);
+  }, t.prototype.dispose = function () {
+    var e = this;this.c.dispose(), this.epsilonScalar.dispose(), this.decayScalar.dispose(), this.momentumScalar.dispose(), this.oneMinusDecay.dispose(), null != this.accumulatedMeanSquares && Object.keys(this.accumulatedMeanSquares).forEach(function (t) {
+      return e.accumulatedMeanSquares[t].dispose();
+    }), null != this.accumulatedMeanGrads && this.centered && Object.keys(this.accumulatedMeanGrads).forEach(function (t) {
+      return e.accumulatedMeanGrads[t].dispose();
+    }), null != this.accumulatedMoments && Object.keys(this.accumulatedMoments).forEach(function (t) {
+      return e.accumulatedMoments[t].dispose();
+    });
+  }, t.prototype.getConfig = function () {
+    return { learningRate: this.learningRate, decay: this.decay, momentum: this.momentum, epsilon: this.epsilon, centered: this.centered };
+  }, t.fromConfig = function (e, t) {
+    return new e(t.learningRate, t.decay, t.momentum, t.epsilon, t.centered);
+  }, t.className = "RMSPropOptimizer", t;
+}(Optimizer);SerializationMap.register(RMSPropOptimizer);var OptimizerConstructors = function () {
+  function e() {}return e.sgd = function (e) {
+    return new SGDOptimizer(e);
+  }, e.momentum = function (e, t, n) {
+    return void 0 === n && (n = !1), new MomentumOptimizer(e, t, n);
+  }, e.rmsprop = function (e, t, n, r, a) {
+    return void 0 === t && (t = .9), void 0 === n && (n = 0), void 0 === r && (r = null), void 0 === a && (a = !1), new RMSPropOptimizer(e, t, n, r, a);
+  }, e.adam = function (e, t, n, r) {
+    return void 0 === e && (e = .001), void 0 === t && (t = .9), void 0 === n && (n = .999), void 0 === r && (r = null), new AdamOptimizer(e, t, n, r);
+  }, e.adadelta = function (e, t, n) {
+    return void 0 === e && (e = .001), void 0 === t && (t = .95), void 0 === n && (n = null), new AdadeltaOptimizer(e, t, n);
+  }, e.adamax = function (e, t, n, r, a) {
+    return void 0 === e && (e = .002), void 0 === t && (t = .9), void 0 === n && (n = .999), void 0 === r && (r = null), void 0 === a && (a = 0), new AdamaxOptimizer(e, t, n, r, a);
+  }, e.adagrad = function (e, t) {
+    return void 0 === t && (t = .1), new AdagradOptimizer(e, t);
+  }, __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "sgd", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "momentum", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "rmsprop", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "adam", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "adadelta", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "adamax", null), __decorate([doc({ heading: "Training", subheading: "Optimizers", namespace: "train" })], e, "adagrad", null), e;
+}(),
+    train = { sgd: OptimizerConstructors.sgd, momentum: OptimizerConstructors.momentum, adadelta: OptimizerConstructors.adadelta, adagrad: OptimizerConstructors.adagrad, rmsprop: OptimizerConstructors.rmsprop, adamax: OptimizerConstructors.adamax, adam: OptimizerConstructors.adam },
+    setBackend = Environment.setBackend,
+    getBackend = Environment.getBackend,
+    disposeVariables = Environment.disposeVariables,
+    memory = Environment.memory,
+    nextFrame = BrowserUtil.nextFrame;exports.setBackend = setBackend;
+exports.getBackend = getBackend;
+exports.disposeVariables = disposeVariables;
+exports.memory = memory;
+exports.version_core = version;
+exports.nextFrame = nextFrame;
+exports.environment = environment;
+exports.io = io;
+exports.serialization = serialization;
+exports.test_util = test_util;
+exports.util = util;
+exports.webgl = webgl;
+exports.AdadeltaOptimizer = AdadeltaOptimizer;
+exports.AdagradOptimizer = AdagradOptimizer;
+exports.AdamOptimizer = AdamOptimizer;
+exports.AdamaxOptimizer = AdamaxOptimizer;
+exports.MomentumOptimizer = MomentumOptimizer;
+exports.Optimizer = Optimizer;
+exports.RMSPropOptimizer = RMSPropOptimizer;
+exports.SGDOptimizer = SGDOptimizer;
+exports.Tensor = Tensor;
+exports.TensorBuffer = TensorBuffer;
+exports.variable = variable;
+exports.Variable = Variable;
+exports.Rank = Rank;
+exports.Reduction = Reduction;
+exports.ENV = ENV;
+exports.Environment = Environment;
+exports.doc = doc;
+exports.batchNormalization = batchNormalization;
+exports.batchNormalization2d = batchNormalization2d;
+exports.batchNormalization3d = batchNormalization3d;
+exports.batchNormalization4d = batchNormalization4d;
+exports.concat = concat;
+exports.concat1d = concat1d;
+exports.concat2d = concat2d;
+exports.concat3d = concat3d;
+exports.concat4d = concat4d;
+exports.conv1d = conv1d;
+exports.conv2d = conv2d;
+exports.conv2dTranspose = conv2dTranspose;
+exports.depthwiseConv2d = depthwiseConv2d;
+exports.separableConv2d = separableConv2d;
+exports.matMul = matMul;
+exports.matrixTimesVector = matrixTimesVector;
+exports.outerProduct = outerProduct;
+exports.vectorTimesMatrix = vectorTimesMatrix;
+exports.dot = dot;
+exports.avgPool = avgPool;
+exports.maxPool = maxPool;
+exports.transpose = transpose;
+exports.reverse = reverse;
+exports.reverse1d = reverse1d;
+exports.reverse2d = reverse2d;
+exports.reverse3d = reverse3d;
+exports.reverse4d = reverse4d;
+exports.slice = slice;
+exports.slice1d = slice1d;
+exports.slice2d = slice2d;
+exports.slice3d = slice3d;
+exports.slice4d = slice4d;
+exports.stridedSlice = stridedSlice;
+exports.argMax = argMax;
+exports.argMin = argMin;
+exports.logSumExp = logSumExp;
+exports.max = max;
+exports.mean = mean;
+exports.min = min;
+exports.all = all;
+exports.moments = moments;
+exports.sum = sum;
+exports.unsortedSegmentSum = unsortedSegmentSum;
+exports.equal = equal;
+exports.equalStrict = equalStrict;
+exports.greater = greater;
+exports.greaterStrict = greaterStrict;
+exports.greaterEqual = greaterEqual;
+exports.greaterEqualStrict = greaterEqualStrict;
+exports.less = less;
+exports.lessStrict = lessStrict;
+exports.lessEqual = lessEqual;
+exports.lessEqualStrict = lessEqualStrict;
+exports.notEqual = notEqual;
+exports.notEqualStrict = notEqualStrict;
+exports.logicalNot = logicalNot;
+exports.logicalAnd = logicalAnd;
+exports.logicalOr = logicalOr;
+exports.logicalXor = logicalXor;
+exports.where = where;
+exports.abs = abs;
+exports.acos = acos;
+exports.acosh = acosh;
+exports.asin = asin;
+exports.asinh = asinh;
+exports.atan = atan;
+exports.atanh = atanh;
+exports.ceil = ceil;
+exports.clipByValue = clipByValue;
+exports.cos = cos;
+exports.cosh = cosh;
+exports.elu = elu;
+exports.exp = exp;
+exports.expm1 = expm1;
+exports.floor = floor;
+exports.sign = sign;
+exports.leakyRelu = leakyRelu;
+exports.log = log;
+exports.log1p = log1p;
+exports.logSigmoid = logSigmoid;
+exports.neg = neg;
+exports.prelu = prelu;
+exports.relu = relu;
+exports.reciprocal = reciprocal;
+exports.round = round;
+exports.selu = selu;
+exports.sigmoid = sigmoid;
+exports.sin = sin;
+exports.sinh = sinh;
+exports.softplus = softplus;
+exports.sqrt = sqrt;
+exports.rsqrt = rsqrt;
+exports.square = square;
+exports.step = step;
+exports.tan = tan;
+exports.tanh = tanh$1;
+exports.erf = erf;
+exports.add = add;
+exports.addStrict = addStrict;
+exports.atan2 = atan2;
+exports.div = div;
+exports.floorDiv = floorDiv;
+exports.divStrict = divStrict;
+exports.maximum = maximum;
+exports.maximumStrict = maximumStrict;
+exports.minimum = minimum;
+exports.minimumStrict = minimumStrict;
+exports.mod = mod;
+exports.modStrict = modStrict;
+exports.mul = mul;
+exports.mulStrict = mulStrict;
+exports.pow = pow;
+exports.powStrict = powStrict;
+exports.sub = sub;
+exports.subStrict = subStrict;
+exports.squaredDifference = squaredDifference;
+exports.squaredDifferenceStrict = squaredDifferenceStrict;
+exports.norm = norm;
+exports.cast = cast;
+exports.clone = clone;
+exports.fromPixels = fromPixels;
+exports.toPixels = toPixels;
+exports.ones = ones;
+exports.onesLike = onesLike;
+exports.zeros = zeros;
+exports.zerosLike = zerosLike;
+exports.eye = eye;
+exports.rand = rand;
+exports.randomNormal = randomNormal;
+exports.truncatedNormal = truncatedNormal;
+exports.randomUniform = randomUniform;
+exports.multinomial = multinomial;
+exports.reshape = reshape;
+exports.squeeze = squeeze;
+exports.tile = tile;
+exports.gather = gather;
+exports.oneHot = oneHot;
+exports.linspace = linspace;
+exports.range = range;
+exports.buffer = buffer;
+exports.fill = fill;
+exports.tensor = tensor;
+exports.scalar = scalar;
+exports.tensor1d = tensor1d;
+exports.tensor2d = tensor2d;
+exports.tensor3d = tensor3d;
+exports.tensor4d = tensor4d;
+exports.tensor5d = tensor5d;
+exports.tensor6d = tensor6d;
+exports.print = print;
+exports.expandDims = expandDims;
+exports.stack = stack;
+exports.unstack = unstack;
+exports.split = split;
+exports.cumsum = cumsum;
+exports.pad = pad;
+exports.pad1d = pad1d;
+exports.pad2d = pad2d;
+exports.pad3d = pad3d;
+exports.pad4d = pad4d;
+exports.movingAverage = movingAverage;
+exports.basicLSTMCell = basicLSTMCell;
+exports.multiRNNCell = multiRNNCell;
+exports.softmax = softmax;
+exports.sigmoidCrossEntropyWithLogits = sigmoidCrossEntropyWithLogits;
+exports.localResponseNormalization = localResponseNormalization;
+exports.linalg = linalg;
+exports.losses = losses;
+exports.image = image;
+exports.operation = operation;
+exports.train = train;
+exports.tidy = tidy;
+exports.keep = keep;
+exports.dispose = dispose;
+exports.time = time;
+exports.grad = grad;
+exports.valueAndGrad = valueAndGrad;
+exports.grads = grads;
+exports.valueAndGrads = valueAndGrads;
+exports.variableGrads = variableGrads;
+exports.customGrad = customGrad;
+},{"crypto":73,"process":6}],9:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.version_layers = exports.SymbolicTensor = exports.Sequential = exports.RNN = exports.Model = exports.CustomCallback = exports.CallbackList = exports.Callback = exports.regularizers = exports.metrics = exports.initializers = exports.constraints = exports.layers = exports.input = exports.loadModel = exports.sequential = exports.model = undefined;
+
+var _tfjsCore = require("@tensorflow/tfjs-core");
+
+var extendStatics = Object.setPrototypeOf || { __proto__: [] } instanceof Array && function (e, t) {
+  e.__proto__ = t;
+} || function (e, t) {
+  for (var n in t) t.hasOwnProperty(n) && (e[n] = t[n]);
+}; /**
+    * @license
+    * Copyright 2018 Google LLC. All Rights Reserved.
+    * Licensed under the Apache License, Version 2.0 (the "License");
+    * you may not use this file except in compliance with the License.
+    * You may obtain a copy of the License at
+    *
+    * http://www.apache.org/licenses/LICENSE-2.0
+    *
+    * Unless required by applicable law or agreed to in writing, software
+    * distributed under the License is distributed on an "AS IS" BASIS,
+    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+    * See the License for the specific language governing permissions and
+    * limitations under the License.
+    * =============================================================================
+    */
+function __extends(e, t) {
+  function n() {
+    this.constructor = e;
+  }extendStatics(e, t), e.prototype = null === t ? Object.create(t) : (n.prototype = t.prototype, new n());
+}var __assign = Object.assign || function (e) {
+  for (var t, n = 1, r = arguments.length; n < r; n++) for (var i in t = arguments[n]) Object.prototype.hasOwnProperty.call(t, i) && (e[i] = t[i]);return e;
+};function __decorate(e, t, n, r) {
+  var i,
+      a = arguments.length,
+      o = a < 3 ? t : null === r ? r = Object.getOwnPropertyDescriptor(t, n) : r;if ("object" == typeof Reflect && "function" == typeof Reflect.decorate) o = Reflect.decorate(e, t, n, r);else for (var s = e.length - 1; s >= 0; s--) (i = e[s]) && (o = (a < 3 ? i(o) : a > 3 ? i(t, n, o) : i(t, n)) || o);return a > 3 && o && Object.defineProperty(t, n, o), o;
+}function __awaiter(e, t, n, r) {
+  return new (n || (n = Promise))(function (i, a) {
+    function o(e) {
+      try {
+        l(r.next(e));
+      } catch (e) {
+        a(e);
+      }
+    }function s(e) {
+      try {
+        l(r.throw(e));
+      } catch (e) {
+        a(e);
+      }
+    }function l(e) {
+      e.done ? i(e.value) : new n(function (t) {
+        t(e.value);
+      }).then(o, s);
+    }l((r = r.apply(e, t || [])).next());
+  });
+}function __generator(e, t) {
+  var n,
+      r,
+      i,
+      a,
+      o = { label: 0, sent: function () {
+      if (1 & i[0]) throw i[1];return i[1];
+    }, trys: [], ops: [] };return a = { next: s(0), throw: s(1), return: s(2) }, "function" == typeof Symbol && (a[Symbol.iterator] = function () {
+    return this;
+  }), a;function s(a) {
+    return function (s) {
+      return function (a) {
+        if (n) throw new TypeError("Generator is already executing.");for (; o;) try {
+          if (n = 1, r && (i = r[2 & a[0] ? "return" : a[0] ? "throw" : "next"]) && !(i = i.call(r, a[1])).done) return i;switch (r = 0, i && (a = [0, i.value]), a[0]) {case 0:case 1:
+              i = a;break;case 4:
+              return o.label++, { value: a[1], done: !1 };case 5:
+              o.label++, r = a[1], a = [0];continue;case 7:
+              a = o.ops.pop(), o.trys.pop();continue;default:
+              if (!(i = (i = o.trys).length > 0 && i[i.length - 1]) && (6 === a[0] || 2 === a[0])) {
+                o = 0;continue;
+              }if (3 === a[0] && (!i || a[1] > i[0] && a[1] < i[3])) {
+                o.label = a[1];break;
+              }if (6 === a[0] && o.label < i[1]) {
+                o.label = i[1], i = a;break;
+              }if (i && o.label < i[2]) {
+                o.label = i[2], o.ops.push(a);break;
+              }i[2] && o.ops.pop(), o.trys.pop();continue;}a = t.call(e, o);
+        } catch (e) {
+          a = [6, e], r = 0;
+        } finally {
+          n = i = 0;
+        }if (5 & a[0]) throw a[1];return { value: a[0] ? a[1] : void 0, done: !0 };
+      }([a, s]);
+    };
+  }
+}var AttributeError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error),
+    RuntimeError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error),
+    ValueError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error),
+    NotImplementedError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error),
+    AssertionError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error),
+    IndexError = function (e) {
+  function t(n) {
+    var r = e.call(this, n) || this;return Object.setPrototypeOf(r, t.prototype), r;
+  }return __extends(t, e), t;
+}(Error);function pyListRepeat(e, t) {
+  if (Array.isArray(e)) {
+    for (var n = [], r = 0; r < t; r++) n = n.concat(e);return n;
+  }return (n = new Array(t)).fill(e), n;
+}function assert(e, t) {
+  if (!e) throw new AssertionError(t);
+}function count(e, t) {
+  for (var n = 0, r = 0, i = e; r < i.length; r++) {
+    i[r] === t && n++;
+  }return n;
+}function singletonOrArray(e) {
+  return 1 === e.length ? e[0] : e;
+}function toList(e) {
+  return Array.isArray(e) ? e : [e];
+}function isArrayOfShapes(e) {
+  return Array.isArray(e) && Array.isArray(e[0]);
+}function normalizeShapeList(e) {
+  return 0 === e.length ? [] : Array.isArray(e[0]) ? e : [e];
+}function toSnakeCase(e) {
+  var t = e.replace(/(.)([A-Z][a-z0-9]+)/g, "$1_$2").replace(/([a-z])([A-Z])/g, "$1_$2").toLowerCase();return "_" !== t[0] ? t : "private" + t;
+}function toCamelCase(e) {
+  return e.length <= 1 ? e : -1 === e.indexOf("_") ? e : e.replace(/[_]+(\w|$)/g, function (e, t) {
+    return t.toUpperCase();
+  });
+}var _GLOBAL_CUSTOM_OBJECTS = {};function serializeKerasObject(e) {
+  return null === e || void 0 === e ? null : { className: e.getClassName(), config: e.getConfig() };
+}function deserializeKerasObject(e, t, n, r) {
+  if (void 0 === t && (t = {}), void 0 === n && (n = {}), void 0 === r && (r = "object"), "string" == typeof e) {
+    var i = e,
+        a = void 0;if (i in n) a = n[i];else if (i in _GLOBAL_CUSTOM_OBJECTS) a = _GLOBAL_CUSTOM_OBJECTS[i];else if (null == (a = t[i])) throw new ValueError("Unknown " + r + ": " + e);return a;
+  }var o = e;if (null == o.className || null == o.config) throw new ValueError(r + ": Improper config format: " + JSON.stringify(o) + ".\n'className' and 'config' must set.");var s = o.className,
+      l = void 0,
+      u = void 0;if (s in n ? (l = (S = n.get(s))[0], u = S[1]) : s in _GLOBAL_CUSTOM_OBJECTS ? (l = (I = _GLOBAL_CUSTOM_OBJECTS.className)[0], u = I[1]) : s in t && (l = (_ = t[s])[0], u = _[1]), null == l) throw new ValueError("Unknown " + r + ": " + s);if (null != u) {
+    for (var c = {}, p = 0, h = Object.keys(_GLOBAL_CUSTOM_OBJECTS); p < h.length; p++) {
+      c[v = h[p]] = _GLOBAL_CUSTOM_OBJECTS[v];
+    }for (var d = 0, g = Object.keys(n); d < g.length; d++) {
+      c[v = g[d]] = n[v];
+    }o.config.customObjects = c;for (var f = __assign({}, _GLOBAL_CUSTOM_OBJECTS), m = 0, y = Object.keys(n); m < y.length; m++) {
+      var v = y[m];_GLOBAL_CUSTOM_OBJECTS[v] = n[v];
+    }var b = u(l, o.config);return _GLOBAL_CUSTOM_OBJECTS = __assign({}, f), b;
+  }f = __assign({}, _GLOBAL_CUSTOM_OBJECTS);for (var z = 0, w = Object.keys(n); z < w.length; z++) {
+    v = w[z];_GLOBAL_CUSTOM_OBJECTS[v] = n[v];
+  }var S, I, _;b = new l(o.config);return _GLOBAL_CUSTOM_OBJECTS = __assign({}, f), b;
+}function getExactlyOneTensor(e) {
+  var t;if (Array.isArray(e)) {
+    if (1 !== e.length) throw new ValueError("Expected Tensor length to be 1; got " + e.length);t = e[0];
+  } else t = e;return t;
+}function getExactlyOneShape(e) {
+  if (Array.isArray(e) && Array.isArray(e[0])) {
+    if (1 === e.length) return (e = e)[0];throw new ValueError("Expected exactly 1 Shape; got " + e.length);
+  }return e;
+}function numberCompare(e, t) {
+  return e < t ? -1 : e > t ? 1 : 0;
+}function reverseNumberCompare(e, t) {
+  return -1 * numberCompare(e, t);
+}function stringToDType(e) {
+  switch (e) {case "float32":
+      return "float32";default:
+      throw new ValueError("Invalid dtype: " + e);}
+}function unique(e) {
+  if (null == e) return e;for (var t = [], n = 0, r = e; n < r.length; n++) {
+    var i = r[n];-1 === t.indexOf(i) && t.push(i);
+  }return t;
+}function isObjectEmpty(e) {
+  if (null == e) throw new ValueError("Invalid value in obj: " + JSON.stringify(e));for (var t in e) if (e.hasOwnProperty(t)) return !1;return !0;
+}function checkStringTypeUnionValue(e, t, n) {
+  if (null != n && e.indexOf(n) < 0) throw new ValueError(n + " is not a valid " + t + ".  Valid values are " + e + " or null/undefined.");
+}function checkArrayTypeAndLength(e, t, n, r) {
+  return void 0 === n && (n = 0), void 0 === r && (r = 1 / 0), assert(n >= 0), assert(r >= n), Array.isArray(e) && e.length >= n && e.length <= r && e.every(function (e) {
+    return typeof e === t;
+  });
+}function countParamsInWeights(e) {
+  for (var t = 0, n = 0, r = e; n < r.length; n++) {
+    var i = r[n];0 === i.shape.length ? t += 1 : t += i.shape.reduce(function (e, t) {
+      return e * t;
+    });
+  }return t;
+}var nameMap = new Map(),
+    VALID_DATA_FORMAT_VALUES = ["channelsFirst", "channelsLast"];function checkDataFormat(e) {
+  checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES, "DataFormat", e);
+}var VALID_PADDING_MODE_VALUES = ["valid", "same", "causal"];function checkPaddingMode(e) {
+  checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES, "PaddingMode", e);
+}var VALID_POOL_MODE_VALUES = ["max", "avg"];function checkPoolMode(e) {
+  checkStringTypeUnionValue(VALID_POOL_MODE_VALUES, "PoolMode", e);
+}var _nameScopeStack = [],
+    _nameScopeDivider = "/";function nameScope(e, t) {
+  _nameScopeStack.push(e);try {
+    var n = t();return _nameScopeStack.pop(), n;
+  } catch (e) {
+    throw _nameScopeStack.pop(), e;
+  }
+}function currentNameScopePrefix() {
+  return 0 === _nameScopeStack.length ? "" : _nameScopeStack.join(_nameScopeDivider) + _nameScopeDivider;
+}function getScopedTensorName(e) {
+  if (!isValidTensorName(e)) throw new Error("Not a valid tensor name: '" + e + "'");return currentNameScopePrefix() + e;
+}function getUniqueTensorName(e) {
+  if (!isValidTensorName(e)) throw new Error("Not a valid tensor name: '" + e + "'");nameMap.has(e) || nameMap.set(e, 0);var t = nameMap.get(e);if (nameMap.set(e, nameMap.get(e) + 1), t > 0) {
+    var n = e + "_" + t;return nameMap.set(n, 1), n;
+  }return e;
+}var tensorNameRegex = new RegExp(/^[A-Za-z][A-Za-z0-9\._\/]*$/);function isValidTensorName(e) {
+  return !!e.match(tensorNameRegex);
+}function isInteger(e) {
+  return e === parseInt(e.toString(), 10);
+}function arrayProd(e, t, n) {
+  null == t && (t = 0), null == n && (n = e.length);for (var r = 1, i = t; i < n; ++i) r *= e[i];return r;
+}function toArray1D(e) {
+  return e = Array.isArray(e) ? new Float32Array(e) : e, (0, _tfjsCore.tensor1d)(e);
+}function min$1(e) {
+  return (0, _tfjsCore.min)(toArray1D(e)).dataSync()[0];
+}function max$1(e) {
+  return (0, _tfjsCore.max)(toArray1D(e)).dataSync()[0];
+}function range(e, t) {
+  if (t < e) throw new ValueError("end (" + t + ") < begin (" + e + ") is forbidden.");for (var n = [], r = e; r < t; ++r) n.push(r);return n;
+}var _nextUniqueTensorId = 0;function getNextUniqueTensorId() {
+  return _nextUniqueTensorId++;
+}var SymbolicTensor = function () {
+  function e(e, t, n, r, i, a, o) {
+    this.dtype = e, this.shape = t, this.sourceLayer = n, this.inputs = r, this.callArgs = i, this.outputTensorIndex = o, this.id = getNextUniqueTensorId(), null != a && (this.originalName = getScopedTensorName(a), this.name = getUniqueTensorName(this.originalName)), this.rank = t.length;
+  }return e = __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], e);
+}(),
+    DEFAULT_VARIABLE_NAME_PREFIX = "Variable",
+    LayerVariable = function () {
+  function e(e, t, n, r, i) {
+    void 0 === t && (t = "float32"), void 0 === n && (n = DEFAULT_VARIABLE_NAME_PREFIX), void 0 === r && (r = !0), void 0 === i && (i = null), this.dtype = null == t ? "float32" : t, this.shape = e.shape, this.id = getNextUniqueTensorId(), n = null == n ? DEFAULT_VARIABLE_NAME_PREFIX : n, this.originalName = getScopedTensorName(n), this.name = getUniqueTensorName(this.originalName), this.trainable = r, this.constraint = i, this.val = (0, _tfjsCore.variable)(e, this.trainable, this.name, this.dtype);
+  }return e.prototype.read = function () {
+    return this.val;
+  }, e.prototype.write = function (e) {
+    return checkShapesMatch(this.val, e), this.val.assign(e), null != this.constraint && this.val.assign(this.constraint.apply(this.val)), this;
+  }, e;
+}();function checkShapesMatch(e, t) {
+  if (e.shape.toString() !== t.shape.toString()) throw new Error("Shape mismatch: " + JSON.stringify(e.shape) + " vs. " + JSON.stringify(t.shape));
+}function batchGetValue(e) {
+  return e.map(function (e) {
+    return e.read();
+  });
+}function batchSetValue(e) {
+  e.map(function (e) {
+    e[0].write(e[1]);
+  });
+}var _epsilon = 1e-7;function epsilon() {
+  return _epsilon;
+}function imageDataFormat() {
+  return "channelsLast";
+}var DEFAULT_DTYPE = "float32",
+    scalarCache = { float32: {}, int32: {} };function getScalar(e, t) {
+  return void 0 === t && (t = DEFAULT_DTYPE), null == scalarCache[t][e] && (scalarCache[t][e] = (0, _tfjsCore.scalar)(e, t), (0, _tfjsCore.keep)(scalarCache[t][e])), scalarCache[t][e];
+}var epsilon$1 = epsilon;function shape(e) {
+  return e.shape;
+}function intShape(e) {
+  return e.shape;
+}function dtype(e) {
+  return e instanceof _tfjsCore.Tensor ? DEFAULT_DTYPE : e.dtype;
+}function cast(e, t) {
+  return e.asType(t);
+}function expandDims(e, t) {
+  void 0 === t && (t = -1);var n = shape(e).slice();return t < 0 && (t = n.length + t + 1), n.splice(t, 0, 1), e.reshape(n);
+}function repeat(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    if (2 !== e.shape.length) throw new ValueError("repeat() expects a rank-2 tensor, but received a rank-" + e.shape.length + " tensor.");return tile$1(expandDims(e, 1), [1, t, 1]);
+  });
+}function flatten(e) {
+  var t = [arrayProd(e.shape)];return e.reshape(t);
+}function batchFlatten(e) {
+  if (e.rank <= 1) throw new ValueError("batchFlatten requires a minimum rank of 2. Got rank: " + e.rank + ".");var t = [e.shape[0], arrayProd(e.shape, 1)];return e.reshape(t);
+}function sliceAlongFirstAxis(e, t, n) {
+  return (0, _tfjsCore.tidy)(function () {
+    switch (e.rank) {case 1:
+        return (0, _tfjsCore.slice1d)(e, t, n);case 2:
+        return (0, _tfjsCore.slice2d)(e, [t, 0], [n, e.shape[1]]);case 3:
+        return (0, _tfjsCore.slice3d)(e, [t, 0, 0], [n, e.shape[1], e.shape[2]]);case 4:
+        return (0, _tfjsCore.slice4d)(e, [t, 0, 0, 0], [n, e.shape[1], e.shape[2], e.shape[3]]);default:
+        throw new ValueError("sliceAlongFirstAxis() received an unsupported tensor rank: " + e.rank);}
+  });
+}function sliceAlongLastAxis(e, t, n) {
+  return (0, _tfjsCore.tidy)(function () {
+    switch (e.rank) {case 1:
+        return (0, _tfjsCore.slice1d)(e, t, n);case 2:
+        return (0, _tfjsCore.slice2d)(e, [0, t], [e.shape[0], n]);case 3:
+        return (0, _tfjsCore.slice3d)(e, [0, 0, t], [e.shape[0], e.shape[1], n]);case 4:
+        return (0, _tfjsCore.slice4d)(e, [0, 0, 0, t], [e.shape[0], e.shape[1], e.shape[2], n]);default:
+        throw new ValueError("sliceAlongLastAxis() received an unsupported tensor rank: " + e.rank);}
+  });
+}function sliceAlongAxis(e, t, n, r) {
+  return (0, _tfjsCore.tidy)(function () {
+    switch (e.rank) {case 1:
+        return (0, _tfjsCore.slice1d)(e, t, n);case 2:
+        switch (r) {case 1:
+            return sliceAlongFirstAxis(e, t, n);case 2:
+            return sliceAlongLastAxis(e, t, n);default:
+            throw new ValueError("The axis is not within the rank of the tensor " + r);}case 3:
+        switch (r) {case 1:
+            return sliceAlongFirstAxis(e, t, n);case 2:
+            return (0, _tfjsCore.slice3d)(e, [0, t, 0], [e.shape[0], n, e.shape[2]]);case 3:
+            return sliceAlongLastAxis(e, t, n);default:
+            throw new ValueError("The axis is not within the rank of the tensor " + r);}case 4:
+        switch (r) {case 1:
+            return sliceAlongFirstAxis(e, t, n);case 2:
+            return (0, _tfjsCore.slice4d)(e, [0, t, 0, 0], [e.shape[0], n, e.shape[2], e.shape[3]]);case 3:
+            return (0, _tfjsCore.slice4d)(e, [0, 0, t, 0], [e.shape[0], e.shape[1], n, e.shape[3]]);case 4:
+            return sliceAlongLastAxis(e, t, n);default:
+            throw new ValueError("The axis is not within the rank of the tensor " + r);}default:
+        throw new ValueError("sliceAlongLastAxis() received an unsupported tensor rank: " + e.rank);}
+  });
+}function concatenate(e, t) {
+  var n;return void 0 === t && (t = -1), t < 0 && (t = 0 !== (n = e[0].rank) ? n : 0), t === e[0].rank && (t = -1), (0, _tfjsCore.concat)(e, t);
+}function concatAlongFirstAxis(e, t) {
+  switch (e.rank) {case 1:
+      return (0, _tfjsCore.concat1d)([e, t]);case 2:
+      return (0, _tfjsCore.concat2d)([e, t], 0);case 3:
+      return (0, _tfjsCore.concat3d)([e, t], 0);case 4:
+      return (0, _tfjsCore.concat4d)([e, t], 0);default:
+      throw new ValueError("concatAlongFirstAxis() received an unsupported tensor rank: " + e.rank);}
+}function tile$1(e, t) {
+  if (Array.isArray(t) || (t = [t]), e.rank !== t.length) throw new ValueError("The length of input n (" + t.length + ") does not match the number of dimensions in input x (" + e.rank + ")");return (0, _tfjsCore.tile)(e, t);
+}function identity(e) {
+  return e.clone();
+}function scalarTimesArray(e, t) {
+  return (0, _tfjsCore.mul)(e, t);
+}function scalarPlusArray(e, t) {
+  return (0, _tfjsCore.add)(e, t);
+}function randomNormal$1(e, t, n, r, i) {
+  return void 0 === t && (t = 0), void 0 === n && (n = 1), (0, _tfjsCore.randomNormal)(e, t, n, r, i);
+}function dot(e, t) {
+  if (2 !== t.rank) throw new NotImplementedError("dot support for y other than rank 2 is not yet implemented: y shape = " + shape);if (2 === e.rank) return (0, _tfjsCore.matMul)(e, t);if (3 === e.rank) {
+    var n = e.shape[0],
+        r = e.shape[1],
+        i = e.shape[2];return e = e.reshape([n * r, i]), (0, _tfjsCore.matMul)(e, t).reshape([n, r, t.shape[1]]);
+  }throw new NotImplementedError("dot support for x of rank " + e.rank + " is not yet implemented: x shape = " + shape);
+}function gather$1(e, t, n) {
+  return (0, _tfjsCore.tidy)(function () {
+    return t = Array.isArray(t) ? (0, _tfjsCore.tensor1d)(t, "int32") : t.toInt(), (0, _tfjsCore.gather)(e, t, n);
+  });
+}function square(e) {
+  return (0, _tfjsCore.mulStrict)(e, e);
+}function biasAdd(e, t, n) {
+  return (0, _tfjsCore.tidy)(function () {
+    if (null == n && (n = imageDataFormat()), checkDataFormat(n), 1 !== t.rank && t.rank !== e.rank) throw new ValueError("Unexpected bias dimensions: " + t.rank + "; expected it to be 1 or " + e.rank);var r,
+        i = t.shape;if (5 === e.rank) "channelsFirst" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1, 1, 1])) : e.add(t.reshape([1, i[3], i[0], i[1], i[2]])) : "channelsLast" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, 1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else if (4 === e.rank) "channelsFirst" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1, 1])) : e.add(t.reshape([1, i[2], i[0], i[1]])) : "channelsLast" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else if (3 === e.rank) "channelsFirst" === n ? r = 1 === i.length ? e.add(t.reshape([1, i[0], 1])) : e.add(t.reshape([1, i[1], i[0]])) : "channelsLast" === n && (r = 1 === i.length ? e.add(t.reshape([1, 1, i[0]])) : e.add(t.reshape([1].concat(i))));else {
+      if (!(e.rank < 3)) throw new ValueError("Unsupported input rank by biasAdd: " + e.rank);r = e.add(t);
+    }return r;
+  });
+}function elu$1(e, t) {
+  if (void 0 === t && (t = 1), 1 !== t) throw new NotImplementedError("Support for alpha values other than 1 (" + t + ") is not implemented yet.");return (0, _tfjsCore.elu)(e);
+}function softsign(e) {
+  return (0, _tfjsCore.tidy)(function () {
+    return (0, _tfjsCore.div)(e, (0, _tfjsCore.add)(getScalar(1), (0, _tfjsCore.abs)(e)));
+  });
+}function dropout(e, t, n, r) {
+  return (0, _tfjsCore.tidy)(function () {
+    if (null != n && !_tfjsCore.util.arraysEqual(e.shape, n)) throw new NotImplementedError("Non-default noise shape is not implemented yet: " + JSON.stringify(n));if (null != r) throw new NotImplementedError("seed is not implemented for dropout yet.");var i = (0, _tfjsCore.step)((0, _tfjsCore.add)((0, _tfjsCore.neg)(t), (0, _tfjsCore.randomUniform)(e.shape, 0, 1, "float32")));return i = (0, _tfjsCore.mul)((0, _tfjsCore.div)(getScalar(1), (0, _tfjsCore.sub)(getScalar(1), t)), i), (0, _tfjsCore.mul)(e, i);
+  });
+}function nameScope$1(e, t) {
+  return nameScope(e, t);
+}function floatx() {
+  return "float32";
+}var _uidPrefixes = {};function getUid(e) {
+  return void 0 === e && (e = ""), e in _uidPrefixes || (_uidPrefixes[e] = 0), _uidPrefixes[e] += 1, e + _uidPrefixes[e].toString();
+}function hardSigmoid(e) {
+  return (0, _tfjsCore.tidy)(function () {
+    var t = scalarPlusArray(getScalar(.5), scalarTimesArray(getScalar(.2), e));return (0, _tfjsCore.clipByValue)(t, 0, 1);
+  });
+}function inTrainPhase(e, t, n) {
+  return void 0 === n && (n = !1), n ? e() : t();
+}function calcL2Norms(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return (0, _tfjsCore.sqrt)((0, _tfjsCore.sum)(square(e), t, !0));
+  });
+}var Constraint = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.getConfig = function () {
+    return {};
+  }, t = __decorate([(0, _tfjsCore.doc)({ heading: "Constraints", subheading: "Classes", namespace: "constraints" })], t);
+}(_tfjsCore.serialization.Serializable),
+    MaxNorm = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.defaultMaxValue = 2, n.defaultAxis = 0, n.maxValue = null != t.maxValue ? t.maxValue : n.defaultMaxValue, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      var n = calcL2Norms(e, t.axis),
+          r = (0, _tfjsCore.clipByValue)(n, 0, t.maxValue);return (0, _tfjsCore.mul)(e, (0, _tfjsCore.div)(r, scalarPlusArray(getScalar(epsilon$1()), n)));
+    });
+  }, t.prototype.getConfig = function () {
+    return { maxValue: this.maxValue, axis: this.axis };
+  }, t.className = "MaxNorm", t;
+}(Constraint);_tfjsCore.serialization.SerializationMap.register(MaxNorm);var UnitNorm = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.defaultAxis = 0, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      return (0, _tfjsCore.div)(e, scalarPlusArray(getScalar(epsilon$1()), calcL2Norms(e, t.axis)));
+    });
+  }, t.prototype.getConfig = function () {
+    return { axis: this.axis };
+  }, t.className = "UnitNorm", t;
+}(Constraint);_tfjsCore.serialization.SerializationMap.register(UnitNorm);var NonNeg = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.relu)(e);
+  }, t.className = "NonNeg", t;
+}(Constraint);_tfjsCore.serialization.SerializationMap.register(NonNeg);var MinMaxNorm = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.defaultMinValue = 0, n.defaultMaxValue = 1, n.defaultRate = 1, n.defaultAxis = 0, n.minValue = null != t.minValue ? t.minValue : n.defaultMinValue, n.maxValue = null != t.maxValue ? t.maxValue : n.defaultMaxValue, n.rate = null != t.rate ? t.rate : n.defaultRate, n.axis = null != t.axis ? t.axis : n.defaultAxis, n;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      var n = calcL2Norms(e, t.axis),
+          r = (0, _tfjsCore.add)(scalarTimesArray(getScalar(t.rate), (0, _tfjsCore.clipByValue)(n, t.minValue, t.maxValue)), scalarTimesArray(getScalar(1 - t.rate), n));return (0, _tfjsCore.mul)(e, (0, _tfjsCore.div)(r, scalarPlusArray(getScalar(epsilon$1()), n)));
+    });
+  }, t.prototype.getConfig = function () {
+    return { minValue: this.minValue, maxValue: this.maxValue, rate: this.rate, axis: this.axis };
+  }, t.className = "MinMaxNorm", t;
+}(Constraint);_tfjsCore.serialization.SerializationMap.register(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP = { maxNorm: "MaxNorm", minMaxNorm: "MinMaxNorm", nonNeg: "NonNeg", unitNorm: "UnitNorm" };function serializeConstraint(e) {
+  return serializeKerasObject(e);
+}function deserializeConstraint(e, t) {
+  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, "constraint");
+}function getConstraint(e) {
+  return null == e ? null : "string" == typeof e ? deserializeConstraint({ className: e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP ? CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e, config: {} }) : e instanceof Constraint ? e : deserializeConstraint(e);
+}function deserialize(e, t) {
+  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, "layer");
+}function isArrayItemInputOrOutputName(e, t, n) {
+  return ("inboundNodes" === e || "outputLayers" === e || "inputLayers" === e) && 0 === t && "string" == typeof n;
+}function convertPythonicToTs(e, t) {
+  if (null === e) return null;if ("string" == typeof e) return toCamelCase(e);if ("number" == typeof e || "boolean" == typeof e) return e;if (e instanceof Array) {
+    for (var n = [], r = e.length, i = 0; i < r; ++i) {
+      var a = e[i];isArrayItemInputOrOutputName(t, i, a) ? n.push(a) : n.push(convertPythonicToTs(a, t));
+    }return n;
+  }for (var o = {}, s = 0, l = Object.keys(e); s < l.length; s++) {
+    var u = l[s],
+        c = e[u];if ("name" === u && "string" == typeof c) o[u] = c;else {
+      var p = toCamelCase(u);o[p] = convertPythonicToTs(c, p);
+    }
+  }return o;
+}function convertTsToPythonic(e, t) {
+  if (null === e || void 0 === e) return null;if ("string" == typeof e) return toSnakeCase(e);if ("number" == typeof e || "boolean" == typeof e) return e;if (e instanceof Array) {
+    for (var n = [], r = e.length, i = 0; i < r; ++i) {
+      var a = e[i];isArrayItemInputOrOutputName(t, i, a) ? n.push(a) : n.push(convertTsToPythonic(a, t));
+    }return n;
+  }for (var o = {}, s = 0, l = Object.keys(e); s < l.length; s++) {
+    var u = l[s],
+        c = e[u],
+        p = toSnakeCase(u);o[p] = "name" !== u && "className" !== u || "string" != typeof c ? convertTsToPythonic(c, u) : c;
+  }return o;
+}var version = "0.6.7",
+    InputSpec = function () {
+  return function (e) {
+    this.dtype = e.dtype, this.shape = e.shape, null != e.shape ? this.ndim = e.shape.length : this.ndim = e.ndim, this.maxNDim = e.maxNDim, this.minNDim = e.minNDim, this.axes = e.axes || {};
+  };
+}(),
+    _nextNodeID = 0,
+    Node = function () {
+  function e(e, t) {
+    this.callArgs = t, this.id = _nextNodeID++, this.outboundLayer = e.outboundLayer, this.inboundLayers = e.inboundLayers, this.nodeIndices = e.nodeIndices, this.tensorIndices = e.tensorIndices, this.inputTensors = e.inputTensors, this.outputTensors = e.outputTensors, this.inputMasks = e.inputMasks, this.outputMasks = e.outputMasks, this.inputShapes = e.inputShapes, this.outputShapes = e.outputShapes;for (var n = 0, r = e.inboundLayers; n < r.length; n++) {
+      var i = r[n];null != i && i.outboundNodes.push(this);
+    }e.outboundLayer.inboundNodes.push(this);
+  }return e.prototype.getConfig = function () {
+    for (var e = [], t = 0, n = this.inboundLayers; t < n.length; t++) {
+      var r = n[t];null != r ? e.push(r.name) : e.push(null);
+    }return { outboundLayer: this.outboundLayer ? this.outboundLayer.name : null, inboundLayers: e, nodeIndices: this.nodeIndices, tensorIndices: this.tensorIndices };
+  }, e;
+}(),
+    _nextLayerID = 0,
+    Layer = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;n._callHook = null, n._addedWeightNames = [], n._stateful = !1, n.id = _nextLayerID++, n.activityRegularizer = null, n.inputSpec = null, n.supportsMasking = !1, n._trainableWeights = [], n._nonTrainableWeights = [], n._losses = [], n._updates = [], n._built = !1, n.inboundNodes = [], n.outboundNodes = [];var r = t.name;if (!r) {
+      var i = n.getClassName();r = toSnakeCase(i) + "_" + getUid(i);
+    }if (n.name = r, n.trainable = null == t.trainable || t.trainable, n.updatable = null == t.updatable || t.updatable, null != t.inputShape || null != t.batchInputShape) {
+      var a = void 0;if (null != t.batchInputShape) a = t.batchInputShape;else if (null != t.inputShape) {
+        var o = null;null != t.batchSize && (o = t.batchSize), a = [o].concat(t.inputShape);
+      }n.batchInputShape = a;var s = t.dtype;null == s && (s = t.inputDType), null == s && (s = floatx()), n.dtype = s;
+    }return null != t.weights ? n.initialWeights = t.weights : n.initialWeights = null, n;
+  }return __extends(t, e), t.nodeKey = function (e, t) {
+    return e.name + "_ib-" + t.toString();
+  }, t.prototype.getNodeAtIndex = function (e, t) {
+    if (0 === this.inboundNodes.length) throw new RuntimeError("The layer has never been called and thus has no defined " + t + ".");if (this.inboundNodes.length <= e) throw new ValueError("Asked to get " + t + " at node " + e + ", but the layer has only " + this.inboundNodes.length + " inbound nodes.");return this.inboundNodes[e];
+  }, t.prototype.getInputAt = function (e) {
+    return singletonOrArray(this.getNodeAtIndex(e, "input").inputTensors);
+  }, t.prototype.getOutputAt = function (e) {
+    return singletonOrArray(this.getNodeAtIndex(e, "output").outputTensors);
+  }, Object.defineProperty(t.prototype, "input", { get: function () {
+      if (this.inboundNodes.length > 1) throw new AttributeError("Layer " + this.name + ' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if (0 === this.inboundNodes.length) throw new AttributeError("Layer " + this.name + " is not connected, no input to return.");return singletonOrArray(this.getNodeAtIndex(0, "input").inputTensors);
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "output", { get: function () {
+      if (0 === this.inboundNodes.length) throw new AttributeError("Layer " + this.name + " has no inbound nodes.");if (this.inboundNodes.length > 1) throw new AttributeError("Layer " + this.name + ' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0, "output").outputTensors);
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "losses", { get: function () {
+      return this._losses;
+    }, enumerable: !0, configurable: !0 }), t.prototype.calculateLosses = function () {
+    return this.losses.map(function (e) {
+      return e();
+    });
+  }, Object.defineProperty(t.prototype, "updates", { get: function () {
+      return this._updates;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "built", { get: function () {
+      return this._built;
+    }, set: function (e) {
+      this._built = e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      return this.trainable ? this._trainableWeights : [];
+    }, set: function (e) {
+      this._trainableWeights = e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      return this.trainable ? this._nonTrainableWeights : this._trainableWeights.concat(this._nonTrainableWeights);
+    }, set: function (e) {
+      this._nonTrainableWeights = e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "weights", { get: function () {
+      return this.trainableWeights.concat(this.nonTrainableWeights);
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "stateful", { get: function () {
+      return this._stateful;
+    }, enumerable: !0, configurable: !0 }), t.prototype.assertInputCompatibility = function (e) {
+    if (e = toList(e), null != this.inputSpec && 0 !== this.inputSpec.length) {
+      var t = toList(this.inputSpec);if (e.length !== t.length) throw new ValueError("Layer " + this.name + " expects " + t.length + " inputs, but it received " + e.length + " input tensors. Input received: " + e);for (var n = 0; n < e.length; n++) {
+        var r = e[n],
+            i = t[n];if (null != i) {
+          var a = r.rank;if (null != i.ndim && a !== i.ndim) throw new ValueError("Input " + n + " is incompatible with layer " + this.name + ": expected ndim=" + i.ndim + ", found ndim=" + a);if (null != i.maxNDim && a > i.maxNDim) throw new ValueError("Input " + n + " is incompatible with layer " + this.name + ": expected max_ndim=" + i.maxNDim + ", found ndim=" + a);if (null != i.minNDim && a < i.minNDim) throw new ValueError("Input " + n + " is incompatible with layer " + this.name + ": expected min_ndim=" + i.minNDim + ", found ndim=" + a + ".");if (null != i.dtype && dtype(r) !== i.dtype) {
+            var o = dtype(r);throw new ValueError("Input " + n + " is incompatible with layer " + this.name + " : expected dtype=" + i.dtype + ", found dtype=" + o + ".");
+          }if (i.axes) {
+            var s = intShape(r);for (var l in i.axes) {
+              var u = Number(l),
+                  c = i.axes[l],
+                  p = u >= 0 ? s[u] : s[s.length + u];if (null != c && -1 === [c, null].indexOf(p)) throw new ValueError("Input " + n + " is incompatible with layer " + this.name + ": expected axis " + u + " of input shape to have value " + c + " but got shape " + s + ".");
+            }
+          }if (null != i.shape) {
+            s = intShape(r);for (var h = 0; h < i.shape.length; ++h) {
+              var d = i.shape[h],
+                  g = s[h];if (null != d && null != g && d !== g) throw new ValueError("Input " + n + " is incompatible with layer " + this.name + ": expected shape=" + i.shape + ", found shape=${xShape}.");
+            }
+          }
+        }
+      }
+    }
+  }, t.prototype.call = function (e, t) {
+    return e;
+  }, t.prototype.invokeCallHook = function (e, t) {
+    null != this._callHook && this._callHook(e, t);
+  }, t.prototype.setCallHook = function (e) {
+    this._callHook = e;
+  }, t.prototype.clearCallHook = function () {
+    this._callHook = null;
+  }, t.prototype.apply = function (e, t) {
+    var n = this;t = t || {};for (var r = toList(e), i = !0, a = 0, o = r; a < o.length; a++) {
+      if (!(o[a] instanceof SymbolicTensor)) {
+        i = !1;break;
+      }
+    }for (var s = !0, l = 0, u = r; l < u.length; l++) {
+      if (u[l] instanceof SymbolicTensor) {
+        s = !1;break;
+      }
+    }if (i === s) throw new ValueError("Arguments to apply() must be all SymbolicTensors or all Tensors");return nameScope$1(this.name, function () {
+      if (!n.built) {
+        n.assertInputCompatibility(e);for (var i = [], a = 0, o = toList(e); a < o.length; a++) {
+          var l = o[a];i.push(intShape(l));
+        }n.build(singletonOrArray(i)), n.built = !0, n.initialWeights && n.setWeights(n.initialWeights);
+      }if (n.assertInputCompatibility(e), s) {
+        for (var u = [], c = 0, p = toList(f = n.call(e, t)); c < p.length; c++) {
+          var h = p[c];-1 !== r.indexOf(h) && (h = identity(h)), u.push(h);
+        }if (f = singletonOrArray(u), null != n.activityRegularizer) throw new NotImplementedError("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return f;
+      }var d = collectInputShape(e),
+          g = n.computeOutputShape(d),
+          f = void 0,
+          m = guessOutputDType(e);if (f = null != g && g.length > 0 && Array.isArray(g[0]) ? g.map(function (r, i) {
+        return new SymbolicTensor(m, r, n, toList(e), t, n.name, i);
+      }) : new SymbolicTensor(m, g, n, toList(e), t, n.name), n.addInboundNode(e, f, null, null, d, g, t), null != n.activityRegularizer) throw new NotImplementedError("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return f;
+    });
+  }, Object.defineProperty(t.prototype, "outputShape", { get: function () {
+      if (null == this.inboundNodes || 0 === this.inboundNodes.length) throw new AttributeError("The layer " + this.name + " has never been called and thus has no defined output shape.");for (var e = [], t = 0, n = this.inboundNodes; t < n.length; t++) {
+        var r = n[t],
+            i = JSON.stringify(r.outputShapes);-1 === e.indexOf(i) && e.push(i);
+      }if (1 === e.length) {
+        var a = this.inboundNodes[0].outputShapes;return Array.isArray(a) && Array.isArray(a[0]) && 1 === a.length ? a[0] : a;
+      }throw new AttributeError("The layer " + this.name + ' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.');
+    }, enumerable: !0, configurable: !0 }), t.prototype.countParams = function () {
+    if (!this.built) throw new RuntimeError("You tried to call countParams() on " + this.name + ", but the layer is not built yet. Build it first by calling build(batchInputShape).");return countParamsInWeights(this.weights);
+  }, t.prototype.build = function (e) {
+    this.built = !0;
+  }, t.prototype.getWeights = function (e) {
+    return void 0 === e && (e = !1), batchGetValue(e ? this.trainableWeights : this.weights);
+  }, t.prototype.setWeights = function (e) {
+    var t = this;(0, _tfjsCore.tidy)(function () {
+      var n = t.weights;if (n.length !== e.length) throw new ValueError('You called setWeights(weights) on layer "' + t.name + '" with a weight list of length ' + e.length + ", but the layer was expecting " + n.length + " weights. Provided weights: " + e + "...");if (0 !== n.length) {
+        for (var r = [], i = batchGetValue(n), a = 0; a < i.length; ++a) {
+          var o = i[a],
+              s = n[a],
+              l = e[a];if (!_tfjsCore.util.arraysEqual(o.shape, l.shape)) throw new ValueError("Layer weight shape " + o.shape + " not compatible with provided weight shape " + l.shape);r.push([s, l]);
+        }batchSetValue(r);
+      }
+    });
+  }, t.prototype.addWeight = function (e, t, n, r, i, a, o) {
+    if (-1 !== this._addedWeightNames.indexOf(e)) throw new ValueError("Duplicate weight name " + e + " for layer " + this.name);this._addedWeightNames.push(e), null == n && (n = floatx());var s = new LayerVariable(r.apply(t, n), n, e, a, o);return null != i && this.addLoss(function () {
+      return i.apply(s.read());
+    }), null == a && (a = !0), a ? this._trainableWeights.push(s) : this._nonTrainableWeights.push(s), s;
+  }, t.prototype.addLoss = function (e) {
+    var t;null == e || Array.isArray(e) && 0 === e.length || (e = toList(e), void 0 !== this._losses && null !== this._losses && (t = this.losses).push.apply(t, e));
+  }, t.prototype.computeOutputShape = function (e) {
+    return e;
+  }, t.prototype.computeMask = function (e, t) {
+    var n = this;if (!this.supportsMasking) {
+      if (null != t) {
+        if (!Array.isArray(t)) throw new TypeError("Layer " + this.name + " does not support masking,but was passed an inputMask.");t.forEach(function (e) {
+          if (null != e) throw new TypeError("Layer " + n.name + " does not support masking,but was passed an inputMask.");
+        });
+      }return null;
+    }return t;
+  }, t.prototype.addInboundNode = function (e, t, n, r, i, a, o) {
+    void 0 === o && (o = null);var s = toList(e);t = toList(t), n = toList(n), r = toList(r), i = normalizeShapeList(i), a = normalizeShapeList(a);for (var l = [], u = [], c = [], p = 0, h = s; p < h.length; p++) {
+      var d = h[p];l.push(d.sourceLayer), u.push(d.nodeIndex), c.push(d.tensorIndex);
+    }new Node({ outboundLayer: this, inboundLayers: l, nodeIndices: u, tensorIndices: c, inputTensors: s, outputTensors: t, inputMasks: n, outputMasks: r, inputShapes: i, outputShapes: a }, o);for (var g = 0; g < t.length; g++) t[g].sourceLayer = this, t[g].nodeIndex = this.inboundNodes.length - 1, t[g].tensorIndex = g;
+  }, t.prototype.getConfig = function () {
+    var e = { name: this.name, trainable: this.trainable };return null != this.batchInputShape && (e.batchInputShape = this.batchInputShape), null != this.dtype && (e.dtype = this.dtype), e;
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t.prototype, "apply", null), t = __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Classes", namespace: "layers" })], t);
+}(_tfjsCore.serialization.Serializable);function collectInputShape(e) {
+  for (var t = [], n = 0, r = e = toList(e); n < r.length; n++) {
+    var i = r[n];t.push(intShape(i));
+  }return singletonOrArray(t);
+}function guessOutputDType(e) {
+  return "float32";
+}var InputLayer = function (e) {
+  function t(t) {
+    var n = e.call(this, { dtype: t.dtype, name: null != t.name ? t.name : getUid("input").toString() }) || this;if (null == t.batchSize && (t.batchSize = null), null == t.sparse && (t.sparse = !1), n.trainable = !1, n.built = !0, n.sparse = t.sparse, null != t.inputShape && null != t.batchInputShape) throw new ValueError("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r = t.batchInputShape;if (null == r) {
+      if (null == t.inputShape) throw new ValueError("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r = [t.batchSize].concat(t.inputShape);
+    } else if (null != t.batchSize) throw new ValueError("Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.");var i = t.dtype || floatx();n.batchInputShape = r, n.dtype = i, n.inputSpec = [{ shape: r }];var a = new SymbolicTensor(n.dtype, n.batchInputShape, n, [], {}, n.name);return a.nodeIndex = 0, a.tensorIndex = 0, new Node({ outboundLayer: n, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: [a], outputTensors: [a], inputMasks: [null], outputMasks: [null], inputShapes: [r], outputShapes: [r] }), n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    throw new ValueError("Cannot pass any input to an InputLayer's apply() method. InputLayer name: " + this.name);
+  }, t.prototype.getConfig = function () {
+    return { batchInputShape: this.batchInputShape, dtype: this.dtype, sparse: this.sparse, name: this.name };
+  }, t.className = "InputLayer", t;
+}(Layer);function Input(e) {
+  if (null == e.batchShape && null == e.shape) throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if (null != e.batchShape && null != e.shape) throw new ValueError("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t = e.batchShape;null != e.shape && null == t && (t = [null].concat(e.shape));var n = e.dtype;return null == n && (n = floatx()), new InputLayer({ batchInputShape: t, name: e.name, dtype: n, sparse: e.sparse }).inboundNodes[0].outputTensors[0];
+}_tfjsCore.serialization.SerializationMap.register(InputLayer);var Container = function (e) {
+  function t(n) {
+    var r = e.call(this, {}) || this;if (r.containerNodes = new Set(), r.name = n.name, null == r.name) {
+      var i = r.getClassName().toLowerCase();r.name = getUid(i);
+    }if (r.supportsMasking = !1, r.trainable = !0, r.updatable = !0, Array.isArray(n.inputs) ? r.inputs = n.inputs.slice() : r.inputs = [n.inputs], Array.isArray(n.outputs) ? r.outputs = n.outputs.slice() : r.outputs = [n.outputs], unique(r.inputs).length !== r.inputs.length) throw new ValueError("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: " + r.inputs.map(function (e) {
+      return e.name;
+    }));unique(r.outputs).length !== r.outputs.length && console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: " + r.outputs.map(function (e) {
+      return e.name;
+    })), r.inputLayers = [], r.inputLayersNodeIndices = [], r.inputLayersTensorIndices = [], r.outputLayers = [], r.outputLayersNodeIndices = [], r.outputLayersTensorIndices = [], r.layers = [];for (var a = 0, o = r.outputs; a < o.length; a++) {
+      var s = (N = o[a]).sourceLayer,
+          l = N.nodeIndex,
+          u = N.tensorIndex;r.outputLayers.push(s), r.outputLayersNodeIndices.push(l), r.outputLayersTensorIndices.push(u);
+    }for (var c = 0, p = r.inputs; c < p.length; c++) {
+      s = (N = p[c]).sourceLayer, l = N.nodeIndex, u = N.tensorIndex;assert(0 === l, "input layer has >1 nodes"), assert(0 === u, "input layer has >1 tensors"), r.inputLayers.push(s), r.inputLayersNodeIndices.push(l), r.inputLayersTensorIndices.push(u);
+    }r.inputNames = [], r.outputNames = [], r.feedInputShapes = [], r.feedInputNames = [], r.feedOutputNames = [];for (var h = 0; h < r.inputLayers.length; h++) {
+      if (!((s = r.inputLayers[h]) instanceof InputLayer)) throw new TypeError("Input layers to a Model must be InputLayer objects. Received inputs: " + n.inputs + ". Input " + h + " (0-based) originates from layer type " + s.getClassName() + ".");r.inputNames.push(s.name), r.feedInputShapes.push(s.batchInputShape), r.feedInputNames.push(s.name);
+    }for (var d = 0, g = r.outputLayers; d < g.length; d++) {
+      s = g[d];r.outputNames.push(s.name);
+    }r.internalInputShapes = r.inputs.map(function (e) {
+      return e.shape;
+    }), r.internalOutputShapes = r.outputs.map(function (e) {
+      return e.shape;
+    });for (var f = {}, m = {}, y = {}, v = {}, b = {}, z = [], w = function (e, n, i, a, o, s) {
+      null != a && null != o && null != s || (a = e.sourceLayer, o = e.nodeIndex, s = e.tensorIndex);var l = a.inboundNodes[o];if (-1 !== i.indexOf(l)) throw new RuntimeError("The tensor " + e.name + ' at layer "' + a.name + '" is part of a cycle.');if (-1 === n.indexOf(l)) {
+        r.containerNodes.add(t.nodeKey(a, o)), (a.id in b) || (b[a.id] = Object.keys(b).length), -1 === i.indexOf(l) && i.push(l);for (var u = l.inboundLayers.length, c = 0; c < u; c++) {
+          var p = l.inputTensors[c],
+              h = l.inboundLayers[c],
+              d = l.nodeIndices[c],
+              g = l.tensorIndices[c];w(p, n, i, h, d, g);
+        }for (n.push(l); i.indexOf(l) >= 0;) i.splice(i.indexOf(l), 1);z.push(l);
+      }
+    }, S = [], I = [], _ = 0, A = r.outputs; _ < A.length; _++) {
+      var N = A[_];w(N, S, I);
+    }for (var E = 0, L = z.slice().reverse(); E < L.length; E++) {
+      m[(H = L[E]).id] = H, H.id in f || (f[H.id] = 0);var C = f[H.id],
+          x = null == y[H.outboundLayer.id] ? 0 : y[H.outboundLayer.id];C = Math.max(C, x), y[H.outboundLayer.id] = C, v[H.outboundLayer.id] = H.outboundLayer, f[H.id] = C;for (h = 0; h < H.inboundLayers.length; h++) {
+        var k = H.inboundLayers[h],
+            T = (l = H.nodeIndices[h], k.inboundNodes[l]),
+            R = null == f[T.id] ? 0 : f[T.id];f[T.id] = Math.max(C + 1, R), m[T.id] = T;
+      }
+    }var D = {};for (var O in f) {
+      (C = f[O]) in D || (D[C] = []), D[C].push(m[O]);
+    }var M = {};for (var F in y) {
+      (C = y[F]) in M || (M[C] = []), M[C].push(v[F]);
+    }var P = Object.keys(M).map(function (e) {
+      return parseInt(e, 10);
+    }).sort(reverseNumberCompare);r.layers = [];for (var V = 0, B = P; V < B.length; V++) {
+      var U = M[C = B[V]];U.sort(function (e, t) {
+        var n = b[e.id],
+            r = b[t.id];return n < r ? -1 : n > r ? 1 : 0;
+      });for (var W = 0, j = U; W < j.length; W++) {
+        s = j[W];r.layers.push(s);
+      }
+    }r.layersByDepth = M, P = Object.keys(D).map(function (e) {
+      return parseInt(e, 10);
+    }).sort(reverseNumberCompare);for (var q = r.inputs.slice(), G = [], $ = 0, Z = P; $ < Z.length; $++) for (var J = 0, K = D[C = Z[$]]; J < K.length; J++) {
+      var H;if (null != (s = (H = K[J]).outboundLayer)) {
+        for (var Y = 0, X = H.inputTensors; Y < X.length; Y++) {
+          N = X[Y];if (-1 === q.indexOf(N)) throw new RuntimeError("Graph disconnected: cannot obtain value for tensor " + N + ' at layer "' + s.name + '". The following previous layers were accessed without issue: ' + G);
+        }for (var Q = 0, ee = H.outputTensors; Q < ee.length; Q++) {
+          N = ee[Q];q.push(N);
+        }G.push(s.name);
+      }
+    }r.nodesByDepth = D;for (var te = r.layers.map(function (e) {
+      return e.name;
+    }), ne = function (e) {
+      var t = te.filter(function (t) {
+        return t === e;
+      }).length;if (1 !== t) throw new RuntimeError('The name "' + e + '" is used ' + t + " times in the model. All layer names should be unique. Layer names: " + JSON.stringify(te));
+    }, re = 0, ie = te; re < ie.length; re++) {
+      ne(ie[re]);
+    }return r.outboundNodes = [], r.inboundNodes = [], new Node({ outboundLayer: r, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: r.inputs, outputTensors: r.outputs, inputMasks: r.inputs.map(function (e) {
+        return null;
+      }), outputMasks: r.outputs.map(function (e) {
+        return null;
+      }), inputShapes: r.inputs.map(function (e) {
+        return e.shape;
+      }), outputShapes: r.outputs.map(function (e) {
+        return e.shape;
+      }) }), r.built = !0, r;
+  }return __extends(t, e), Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      if (this._trainableWeights.length > 0) throw new ValueError("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if (!this.trainable) return [];for (var e = [], t = 0, n = this.layers; t < n.length; t++) {
+        var r = n[t];e = e.concat(r.trainableWeights);
+      }return e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      for (var e = [], t = 0, n = this.layers; t < n.length; t++) {
+        var r = n[t];e.push.apply(e, r.nonTrainableWeights);
+      }if (!this.trainable) {
+        for (var i = [], a = 0, o = this.layers; a < o.length; a++) {
+          r = o[a];i.push.apply(i, r.trainableWeights);
+        }return i.concat(e);
+      }return e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "weights", { get: function () {
+      return this.trainableWeights.concat(this.nonTrainableWeights);
+    }, enumerable: !0, configurable: !0 }), t.prototype.loadWeights = function (e, t, n) {
+    void 0 === t && (t = !1), void 0 === n && (n = !1), n ? loadWeightsFromNamedTensorMap(e, this.layers) : loadWeightsFromJson(e, this.layers, t);
+  }, t.prototype.updatedConfig = function () {
+    var e = this.getConfig();return { className: this.getClassName(), config: e, kerasVersion: "tfjs-layers " + version, backend: "TensorFlow.js" };
+  }, t.prototype.toJSON = function (e, t) {
+    void 0 === t && (t = !0);var n = convertTsToPythonic(this.updatedConfig());return t ? JSON.stringify(n) : n;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var r;return e = toList(e), r = "mask" in t ? toList(t.mask) : pyListRepeat(null, e.length), n.runInternalGraph(e, r)[0];
+    });
+  }, t.prototype.computeMask = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var r;return e = toList(e), r = null == t ? pyListRepeat(null, e.length) : toList(t), n.runInternalGraph(e, r)[1];
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    var t = normalizeShapeList(e);if (t.length !== this.inputLayers.length) throw new ValueError("Invalid inputShape argument " + e + ": model has " + this.inputLayers.length + " tensor inputs.");for (var n = {}, r = 0; r < t.length; r++) {
+      var i = this.inputLayers[r],
+          a = t[r];n[I = i.name + "_0_0"] = a;
+    }var o = Object.keys(this.nodesByDepth).map(function (e) {
+      return parseInt(e, 10);
+    }).sort(reverseNumberCompare);if (o.length > 1) for (var s = 0, l = o; s < l.length; s++) for (var u = l[s], c = 0, p = this.nodesByDepth[u]; c < p.length; c++) {
+      var h = p[c];i = h.outboundLayer;if (-1 === this.inputLayers.map(function (e) {
+        return e.id;
+      }).indexOf(i.id)) {
+        for (var d = [], g = 0; g < h.inboundLayers.length; g++) {
+          var f = h.inboundLayers[g],
+              m = h.nodeIndices[g],
+              y = h.tensorIndices[g],
+              v = n[I = f.name + "_" + m + "_" + y];d.push(v);
+        }var b = normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),
+            z = i.inboundNodes.indexOf(h);for (g = 0; g < b.length; g++) {
+          n[I = i.name + "_" + z + "_" + g] = b[g];
+        }
+      }
+    }var w = [],
+        S = [];for (r = 0; r < this.outputLayers.length; r++) {
+      i = this.outputLayers[r], z = this.outputLayersNodeIndices[r], y = this.outputLayersTensorIndices[r];var I = i.name + "_" + z + "_" + y;S.push(I);
+    }for (r = 0; r < S.length; r++) {
+      var _ = S[r];assert(_ in n), w.push(n[_]);
+    }return singletonOrArray(w);
+  }, t.prototype.runInternalGraph = function (e, t) {
+    null == t && (t = pyListRepeat(null, e.length));for (var n = {}, r = 0; r < this.inputs.length; ++r) {
+      var i = this.inputs[r],
+          a = e[r],
+          o = t[r];n[i.id] = [a, o];
+    }for (var s = 0, l = Object.keys(this.nodesByDepth).map(function (e) {
+      return parseInt(e, 10);
+    }).sort(reverseNumberCompare); s < l.length; s++) for (var u = l[s], c = 0, p = this.nodesByDepth[u]; c < p.length; c++) {
+      for (var h = p[c], d = h.outboundLayer, g = h.inputTensors, f = h.outputTensors, m = new Array(), y = 0, v = g; y < v.length; y++) {
+        (i = v[y]).id in n && m.push(n[i.id]);
+      }if (m.length === g.length) {
+        var b = {},
+            z = void 0,
+            w = void 0,
+            S = void 0,
+            I = void 0;if (null != h.callArgs && (b = h.callArgs), 1 === m.length) {
+          var _ = m[0],
+              A = _[0],
+              N = _[1];null == b.mask && (b.mask = N), S = toList(d.call(A, b)), I = toList(d.computeMask(A, N)), z = [A], w = [N];
+        } else z = m.map(function (e) {
+          return e[0];
+        }), w = m.map(function (e) {
+          return e[1];
+        }), null == b.mask && (b.mask = w), S = toList(d.call(z, b)), I = toList(d.computeMask(z, w));if (d.activityRegularizer) throw new NotImplementedError("Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for (r = 0; r < f.length; ++r) {
+          i = f[r], a = S[r], o = I[r];n[i.id] = [a, o];
+        }
+      }
+    }for (var E = [], L = [], C = [], x = 0, k = this.outputs; x < k.length; x++) {
+      assert((i = k[x]).id in n, "Could not compute output " + i.name + " : " + i.id);var T = n[i.id],
+          R = T[0];o = T[1];C.push(R.shape), E.push(R), L.push(o);
+    }return [E, L, C];
+  }, t.prototype.buildNodeConversionMap = function (e) {
+    for (var n, r = {}, i = 0, a = this.layers; i < a.length; i++) {
+      var o = a[i];n = o instanceof t ? 1 : 0;for (var s = 0; s < o.inboundNodes.length; s++) {
+        var l = t.nodeKey(o, s);l in this.containerNodes && (r[l] = n, n += 1);
+      }
+    }return r;
+  }, t.prototype.getLayer = function (e, t) {
+    if (null != t) {
+      if (this.layers.length <= t) throw new ValueError("Was asked to retrieve layer at index " + t + ", but model only has " + this.layers.length + " layer(s).");return this.layers[t];
+    }if (null == e) throw new ValueError("Provide either a layer name or layer index");for (var n = 0, r = this.layers; n < r.length; n++) {
+      var i = r[n];if (i.name === e) return i;
+    }throw new ValueError("No such layer: " + e);
+  }, t.prototype.calculateLosses = function () {
+    var e = this;return (0, _tfjsCore.tidy)(function () {
+      for (var n = [], r = 0, i = e.layers; r < i.length; r++) for (var a = i[r], o = 0; o < a.inboundNodes.length; ++o) {
+        var s = t.nodeKey(a, o);e.containerNodes.has(s) && n.push.apply(n, a.calculateLosses());
+      }return n;
+    });
+  }, t.prototype.getConfig = function () {
+    for (var e = { name: this.name }, n = this.buildNodeConversionMap(this.layers), r = [], i = 0, a = this.layers; i < a.length; i++) {
+      for (var o = (b = a[i]).getClassName(), s = b.getConfig(), l = [], u = 0; u < b.inboundNodes.length; u++) {
+        var c = b.inboundNodes[u],
+            p = t.nodeKey(b, u),
+            h = {};if (this.containerNodes.has(p)) {
+          if (c.callArgs) -1 === JSON.stringify(c.callArgs).indexOf("undefined") ? h = c.callArgs : (console.warn("Layer " + b.name + " was passed non-serializable keyword arguments: " + c.callArgs + ". They will not be included in the serialized model (and thus will be missing at deserialization time)."), h = {});if (c.inboundLayers.length > 0) {
+            for (var d = [], g = 0; g < c.inboundLayers.length; g++) {
+              var f = c.inboundLayers[g],
+                  m = c.nodeIndices[g],
+                  y = c.tensorIndices[g];null !== (w = n[t.nodeKey(f, m)]) && void 0 !== w || (w = 0), d.push([f.name, w, y, h]);
+            }l.push(d);
+          }
+        }
+      }r.push({ name: b.name, className: o, config: s, inboundNodes: l });
+    }e.layers = r;var v = [];for (g = 0; g < this.inputLayers.length; g++) {
+      var b = this.inputLayers[g];m = this.inputLayersNodeIndices[g], p = t.nodeKey(b, m);if (this.containerNodes.has(p)) {
+        null !== (w = n[p]) && void 0 !== w || (w = 0);y = this.inputLayersTensorIndices[g];v.push([b.name, w, y]);
+      }
+    }e.inputLayers = v;var z = [];for (g = 0; g < this.outputLayers.length; g++) {
+      b = this.outputLayers[g], m = this.outputLayersNodeIndices[g], p = t.nodeKey(b, m);if (this.containerNodes.has(p)) {
+        var w;null !== (w = n[p]) && void 0 !== w || (w = 0);y = this.outputLayersTensorIndices[g];z.push([b.name, w, y]);
+      }
+    }return e.outputLayers = z, e;
+  }, t.fromConfig = function (e, t) {
+    var n = {},
+        r = {};function i(e, t) {
+      e.name in r ? r[e.name].push(t) : r[e.name] = [t];
+    }function a(e, t) {
+      for (var r, a = [], o = 0, s = t; o < s.length; o++) {
+        var l = s[o],
+            u = l[0],
+            c = l[1],
+            p = l[2];if (3 === l.length) r = {};else {
+          if (4 !== l.length) throw new ValueError("Improperly formatted model config for layer " + JSON.stringify(e) + ": " + JSON.stringify(l));r = l[3];
+        }if (!(u in n)) return void i(e, t);var h = n[u];if (h.inboundNodes.length <= c) return void i(e, t);var d = h.inboundNodes[c];a.push(d.outputTensors[p]);
+      }a.length > 0 && e.apply(singletonOrArray(a), r);
+    }function o(e) {
+      var r = e.name,
+          a = deserialize(e, null != t.customObjects ? t.customObjects : {});n[r] = a;for (var o = 0, s = e.inboundNodes; o < s.length; o++) {
+        var l = s[o];if (!(l instanceof Array)) throw new ValueError("Corrupted configuration, expected array for nodeData: " + l);i(a, l);
+      }
+    }for (var s = t.name, l = t.layers, u = 0, c = l; u < c.length; u++) {
+      o(d = c[u]);
+    }for (; !isObjectEmpty(r);) for (var p = 0, h = l; p < h.length; p++) {
+      var d = h[p];if ((N = n[d.name]).name in r) {
+        for (var g = 0, f = r[N.name]; g < f.length; g++) {
+          a(N, f[g]);
+        }delete r[N.name];
+      }
+    }for (var m = [], y = [], v = 0, b = t.inputLayers; v < b.length; v++) {
+      var z = (d = b[v])[0],
+          w = d[1],
+          S = d[2];assert(z in n);var I = (N = n[z]).inboundNodes[w].outputTensors;m.push(I[S]);
+    }for (var _ = 0, A = t.outputLayers; _ < A.length; _++) {
+      z = (d = A[_])[0], w = d[1], S = d[2];assert(z in n);var N;I = (N = n[z]).inboundNodes[w].outputTensors;y.push(I[S]);
+    }return new e({ inputs: m, outputs: y, name: s });
+  }, Object.defineProperty(t.prototype, "stateful", { get: function () {
+      if (this._stateful) throw new ValueError("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for (var e = 0, t = this.layers; e < t.length; e++) {
+        if (t[e].stateful) return !0;
+      }return !1;
+    }, enumerable: !0, configurable: !0 }), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Classes", namespace: "layers", subclasses: ["Model"] })], t.prototype, "getLayer", null), t;
+}(Layer);function getSourceInputs(e, t, n) {
+  if ((null == t || null != n && n > 0) && (t = e.sourceLayer, n = e.nodeIndex), 0 === t.inboundNodes.length) return [e];var r = t.inboundNodes[n];if (0 === r.inboundLayers.length) return r.inputTensors;for (var i = [], a = 0; a < r.inboundLayers.length; a++) for (var o = 0, s = getSourceInputs(r.inputTensors[a], r.inboundLayers[a], r.nodeIndices[a]); o < s.length; o++) {
+    var l = s[o];-1 === i.indexOf(l) && i.push(l);
+  }return i;
+}function loadTensor(e, t, n) {
+  var r = stringToDType(e);return _tfjsCore.Tensor.make(t, { values: 0 === t.length ? n : _tfjsCore.util.flatten(n) }, r);
+}function preprocessWeightsForLoading(e, t, n, r) {
+  if (!n.startsWith("2.")) throw new ValueError("Unsupported Keras version in weights being loaded: " + n);return t;
+}function loadWeightsFromNamedTensorMap(e, t) {
+  for (var n = {}, r = 0, i = 0, a = t; i < a.length; i++) for (var o = 0, s = a[i].weights; o < s.length; o++) {
+    var l = s[o];if (null != n[l.originalName]) throw new ValueError("Duplicate weight name: " + l.originalName);n[l.originalName] = l, r++;
+  }var u = [];for (var c in e) u.push([n[c], e[c]]), delete n[c];var p = [];for (var h in n) p.push(h);if (p.length > 0) throw new ValueError(p.length + " of " + r + " weights are not set: " + p);batchSetValue(u);
+}function loadWeightsFromJson(e, t, n) {
+  void 0 === n && (n = !1);for (var r = e.keras_version, i = e.backend, a = t.map(function (e) {
+    return e.name;
+  }), o = {}, s = 0, l = t; s < l.length; s++) {
+    null != (b = l[s]).name && (null == o[b.name] && (o[b.name] = []), o[b.name].push(b));
+  }for (var u = e.weights, c = [], p = 0; p < a.length; ++p) {
+    var h = a[p],
+        d = u[h];null == d && (d = []);for (var g = [], f = 0; f < d.length; ++f) {
+      var m = d[f];g.push(new LayerVariable(loadTensor(m.dtype, m.shape, m.value)));
+    }for (var y = 0, v = o[h]; y < v.length; y++) {
+      var b,
+          z = (b = v[y]).weights;if ((g = preprocessWeightsForLoading(b, g, r, i)).length !== z.length) {
+        if (!n) throw new ValueError("Layer #" + p + ' (named "' + b.name + '") expects ' + z.length + " weight(s), but the saved weights have " + g.length + " element(s).");console.warn("Skipping loading of weights of layer " + b.name + " due to mismatch in number of weights: (" + g.length + " vs " + z.length + ").");
+      }for (var w = 0; w < g.length; ++w) !n || _tfjsCore.util.arraysEqual(z[w].shape, g[w].shape) ? c.push([z[w], g[w].read()]) : console.warn("Skipping loading of weights for layer " + b.name + " due to mismatch in shape (" + z[w].shape + " vs " + g[w].shape + ")");
+    }
+  }batchSetValue(c);
+}var Callback = function () {
+  function e() {
+    this.validationData = null, this.model = null;
+  }return e.prototype.setParams = function (e) {
+    this.params = e;
+  }, e.prototype.setModel = function (e) {
+    this.model = e;
+  }, e.prototype.onEpochBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e.prototype.onEpochEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e.prototype.onBatchBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e.prototype.onBatchEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e.prototype.onTrainBegin = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e.prototype.onTrainEnd = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return [2];
+      });
+    });
+  }, e;
+}(),
+    CallbackList = function () {
+  function e(e, t) {
+    void 0 === t && (t = 10), null == e && (e = []), this.callbacks = e, this.queueLength = t;
+  }return e.prototype.append = function (e) {
+    this.callbacks.push(e);
+  }, e.prototype.setParams = function (e) {
+    for (var t = 0, n = this.callbacks; t < n.length; t++) {
+      n[t].setParams(e);
+    }
+  }, e.prototype.setModel = function (e) {
+    for (var t = 0, n = this.callbacks; t < n.length; t++) {
+      n[t].setModel(e);
+    }
+  }, e.prototype.onEpochBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r;return __generator(this, function (i) {
+        switch (i.label) {case 0:
+            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:
+            return n < r.length ? [4, r[n].onEpochBegin(e, t)] : [3, 4];case 2:
+            i.sent(), i.label = 3;case 3:
+            return n++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e.prototype.onEpochEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r;return __generator(this, function (i) {
+        switch (i.label) {case 0:
+            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:
+            return n < r.length ? [4, r[n].onEpochEnd(e, t)] : [3, 4];case 2:
+            i.sent(), i.label = 3;case 3:
+            return n++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e.prototype.onBatchBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r;return __generator(this, function (i) {
+        switch (i.label) {case 0:
+            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:
+            return n < r.length ? [4, r[n].onBatchBegin(e, t)] : [3, 4];case 2:
+            i.sent(), i.label = 3;case 3:
+            return n++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e.prototype.onBatchEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r;return __generator(this, function (i) {
+        switch (i.label) {case 0:
+            null == t && (t = {}), n = 0, r = this.callbacks, i.label = 1;case 1:
+            return n < r.length ? [4, r[n].onBatchEnd(e, t)] : [3, 4];case 2:
+            i.sent(), i.label = 3;case 3:
+            return n++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e.prototype.onTrainBegin = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n;return __generator(this, function (r) {
+        switch (r.label) {case 0:
+            null == e && (e = {}), t = 0, n = this.callbacks, r.label = 1;case 1:
+            return t < n.length ? [4, n[t].onTrainBegin(e)] : [3, 4];case 2:
+            r.sent(), r.label = 3;case 3:
+            return t++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e.prototype.onTrainEnd = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      var t, n;return __generator(this, function (r) {
+        switch (r.label) {case 0:
+            null == e && (e = {}), t = 0, n = this.callbacks, r.label = 1;case 1:
+            return t < n.length ? [4, n[t].onTrainEnd(e)] : [3, 4];case 2:
+            r.sent(), r.label = 3;case 3:
+            return t++, [3, 1];case 4:
+            return [2];}
+      });
+    });
+  }, e;
+}(),
+    BaseLogger = function (e) {
+  function t() {
+    return e.call(this) || this;
+  }return __extends(t, e), t.prototype.onEpochBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return this.seen = 0, this.totals = {}, [2];
+      });
+    });
+  }, t.prototype.onBatchEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var e,
+          n,
+          r,
+          i,
+          a = this;return __generator(this, function (o) {
+        for (i in null == t && (t = {}), e = null == t.size ? 0 : t.size, this.seen += e, n = function (n) {
+          var i = t[n];if ("number" == typeof i) r.totals.hasOwnProperty(n) || (r.totals[n] = 0), r.totals[n] = r.totals[n] + i * e;else {
+            var o = void 0;n in r.totals ? o = r.totals[n] : r.totals[n] = getScalar(0), r.totals[n] = (0, _tfjsCore.tidy)(function () {
+              return scalarPlusArray(a.totals[n], (0, _tfjsCore.mul)(i, getScalar(e)));
+            }), null != o && o.dispose();
+          }
+        }, r = this, t) n(i);return [2];
+      });
+    });
+  }, t.prototype.onEpochEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var e,
+          n,
+          r,
+          i,
+          a,
+          o = this;return __generator(this, function (s) {
+        if (null != t) for (e = function (e) {
+          if (null == n.totals[e]) return "continue";"number" == typeof n.totals[e] ? t[e] = n.totals[e] / n.seen : (0, _tfjsCore.tidy)(function () {
+            t[e] = scalarTimesArray((0, _tfjsCore.div)(getScalar(1), getScalar(o.seen)), o.totals[e]), o.totals[e].dispose(), (0, _tfjsCore.keep)(t[e]);
+          });
+        }, n = this, r = 0, i = this.params.metrics; r < i.length; r++) a = i[r], e(a);return [2];
+      });
+    });
+  }, t;
+}(Callback);function resolveScalarsInLogs(e) {
+  return __awaiter(this, void 0, void 0, function () {
+    var t, n, r, i, a, o, s;return __generator(this, function (l) {
+      switch (l.label) {case 0:
+          if (null == e) return [2];for (r in t = [], n = [], e) "number" != typeof (i = e[r]) && (a = i, t.push(a.data()), n.push(r));return [4, Promise.all(t)];case 1:
+          for (o = l.sent(), s = 0; s < o.length; ++s) e[n[s]] = o[s][0];return [2];}
+    });
+  });
+}function disposeTensorsInLogs(e) {
+  if (null != e) for (var t in e) {
+    var n = e[t];"number" != typeof n && n.dispose();
+  }
+}var History = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.onTrainBegin = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (e) {
+        return this.epoch = [], this.history = {}, [2];
+      });
+    });
+  }, t.prototype.onEpochEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n;return __generator(this, function (r) {
+        for (n in null == t && (t = {}), this.epoch.push(e), t) null == this.history[n] && (this.history[n] = []), this.history[n].push(t[n]);return [2];
+      });
+    });
+  }, t.prototype.syncData = function () {
+    return __awaiter(this, void 0, void 0, function () {
+      var e, t, n, r, i, a, o, s, l;return __generator(this, function (u) {
+        switch (u.label) {case 0:
+            for (r in e = [], t = [], n = [], this.history) for (i = this.history[r], a = 0; a < i.length; ++a) "number" != typeof i[a] && (o = i[a], e.push(o.data()), t.push(r), n.push(a));return [4, Promise.all(e)];case 1:
+            for (s = u.sent(), l = 0; l < s.length; ++l) this.history[t[l]][n[l]].dispose(), this.history[t[l]][n[l]] = s[l][0];return [2];}
+      });
+    });
+  }, t;
+}(Callback),
+    CustomCallback = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.trainBegin = t.onTrainBegin, n.trainEnd = t.onTrainEnd, n.epochBegin = t.onEpochBegin, n.epochEnd = t.onEpochEnd, n.batchBegin = t.onBatchBegin, n.batchEnd = t.onBatchEnd, n;
+  }return __extends(t, e), t.prototype.onEpochBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return null == this.epochBegin ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:
+            return n.sent(), [4, this.epochBegin(e, t)];case 2:
+            n.sent(), n.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t.prototype.onEpochEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return null == this.epochEnd ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:
+            return n.sent(), [4, this.epochEnd(e, t)];case 2:
+            n.sent(), n.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t.prototype.onBatchBegin = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return null == this.batchBegin ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:
+            return n.sent(), [4, this.batchBegin(e, t)];case 2:
+            n.sent(), n.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t.prototype.onBatchEnd = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (n) {
+        switch (n.label) {case 0:
+            return null == this.batchEnd ? [3, 3] : [4, resolveScalarsInLogs(t)];case 1:
+            return n.sent(), [4, this.batchEnd(e, t)];case 2:
+            n.sent(), n.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t.prototype.onTrainBegin = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (t) {
+        switch (t.label) {case 0:
+            return null == this.trainBegin ? [3, 3] : [4, resolveScalarsInLogs(e)];case 1:
+            return t.sent(), [4, this.trainBegin(e)];case 2:
+            t.sent(), t.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t.prototype.onTrainEnd = function (e) {
+    return __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (t) {
+        switch (t.label) {case 0:
+            return null == this.trainEnd ? [3, 3] : [4, resolveScalarsInLogs(e)];case 1:
+            return t.sent(), [4, this.trainEnd(e)];case 2:
+            t.sent(), t.label = 3;case 3:
+            return [2];}
+      });
+    });
+  }, t;
+}(Callback);function standardizeCallbacks(e) {
+  return null == e ? null : e instanceof Callback ? [e] : Array.isArray(e) && e[0] instanceof Callback ? e : toList(e).map(function (e) {
+    return new CustomCallback(e);
+  });
+}function l2Normalize(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = (0, _tfjsCore.sum)(square(e), t, !0),
+        r = scalarTimesArray((0, _tfjsCore.scalar)(epsilon$1()), (0, _tfjsCore.onesLike)(e)),
+        i = (0, _tfjsCore.sqrt)((0, _tfjsCore.maximum)(n, r));return (0, _tfjsCore.div)(e, i);
+  });
+}function meanSquaredError(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return (0, _tfjsCore.mean)(square((0, _tfjsCore.sub)(t, e)), -1);
+  });
+}function meanAbsoluteError(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return (0, _tfjsCore.mean)((0, _tfjsCore.abs)((0, _tfjsCore.sub)(t, e)), -1);
+  });
+}function meanAbsolutePercentageError(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = (0, _tfjsCore.sub)(e, t),
+        r = (0, _tfjsCore.clipByValue)((0, _tfjsCore.abs)(e), epsilon$1(), Number.MAX_VALUE),
+        i = (0, _tfjsCore.abs)((0, _tfjsCore.div)(n, r));return scalarTimesArray(getScalar(100), (0, _tfjsCore.mean)(i, -1));
+  });
+}function meanSquaredLogarithmicError(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = getScalar(1),
+        r = (0, _tfjsCore.clipByValue)(t, epsilon$1(), Number.MAX_VALUE),
+        i = (0, _tfjsCore.log)(scalarPlusArray(n, r)),
+        a = (0, _tfjsCore.clipByValue)(e, epsilon$1(), Number.MAX_VALUE),
+        o = (0, _tfjsCore.log)(scalarPlusArray(n, a));return (0, _tfjsCore.mean)(square((0, _tfjsCore.sub)(i, o)), -1);
+  });
+}function squaredHinge(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = getScalar(0),
+        r = getScalar(1),
+        i = (0, _tfjsCore.maximum)(n, (0, _tfjsCore.sub)(r, (0, _tfjsCore.mul)(e, t)));return (0, _tfjsCore.mean)(square(i), -1);
+  });
+}function hinge(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = getScalar(0),
+        r = getScalar(1),
+        i = (0, _tfjsCore.maximum)(n, (0, _tfjsCore.sub)(r, (0, _tfjsCore.mul)(e, t)));return (0, _tfjsCore.mean)(i, -1);
+  });
+}function categoricalHinge(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = getScalar(0),
+        r = getScalar(1),
+        i = (0, _tfjsCore.sum)((0, _tfjsCore.mul)(e, t), -1),
+        a = (0, _tfjsCore.max)((0, _tfjsCore.mul)((0, _tfjsCore.sub)(r, e), t), -1);return (0, _tfjsCore.maximum)(n, scalarPlusArray(r, (0, _tfjsCore.sub)(a, i)));
+  });
+}function logcosh(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = getScalar(Math.log(2)),
+        r = (0, _tfjsCore.sub)(t, e),
+        i = (0, _tfjsCore.sub)((0, _tfjsCore.add)(r, (0, _tfjsCore.softplus)(scalarTimesArray(getScalar(-2), r))), n);return (0, _tfjsCore.mean)(i, -1);
+  });
+}function categoricalCrossentropy(e, t, n) {
+  return void 0 === n && (n = !1), (0, _tfjsCore.tidy)(function () {
+    if (n) t = (0, _tfjsCore.softmax)(t);else {
+      var r = (0, _tfjsCore.sum)(t, shape(t).length - 1, !0);t = (0, _tfjsCore.div)(t, r);
+    }return t = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1 - epsilon$1()), (0, _tfjsCore.neg)((0, _tfjsCore.sum)((0, _tfjsCore.mul)(e.toFloat(), (0, _tfjsCore.log)(t)), shape(t).length - 1));
+  });
+}function sparseCategoricalCrossentropy(e, t, n) {
+  return void 0 === n && (n = !1), (0, _tfjsCore.tidy)(function () {
+    var r = (0, _tfjsCore.floor)(flatten(e)).toInt(),
+        i = shape(t);return categoricalCrossentropy((0, _tfjsCore.oneHot)(r, i[i.length - 1]).reshape(i), t, n);
+  });
+}function sigmoidCrossEntropyWithLogits(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = (0, _tfjsCore.maximum)(t, (0, _tfjsCore.zerosLike)(t)),
+        r = (0, _tfjsCore.mul)(t, e),
+        i = (0, _tfjsCore.log)((0, _tfjsCore.add)(getScalar(1), (0, _tfjsCore.exp)((0, _tfjsCore.neg)((0, _tfjsCore.abs)(t)))));return (0, _tfjsCore.add)((0, _tfjsCore.sub)(n, r), i);
+  });
+}function binaryCrossentropy(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n;return n = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1 - epsilon$1()), n = (0, _tfjsCore.log)((0, _tfjsCore.div)(n, (0, _tfjsCore.sub)((0, _tfjsCore.onesLike)(n), n))), (0, _tfjsCore.mean)(sigmoidCrossEntropyWithLogits(e, n), -1);
+  });
+}function kullbackLeiblerDivergence(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = (0, _tfjsCore.clipByValue)(e, epsilon$1(), 1),
+        r = (0, _tfjsCore.clipByValue)(t, epsilon$1(), 1);return (0, _tfjsCore.sum)((0, _tfjsCore.mul)(e, (0, _tfjsCore.log)((0, _tfjsCore.div)(n, r))), -1);
+  });
+}function poisson(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = (0, _tfjsCore.log)(scalarPlusArray(getScalar(epsilon$1()), t));return (0, _tfjsCore.mean)((0, _tfjsCore.sub)(t, (0, _tfjsCore.mul)(e, n)), -1);
+  });
+}function cosineProximity(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = l2Normalize(e, -1),
+        r = l2Normalize(t, -1),
+        i = (0, _tfjsCore.mul)(n, r);return (0, _tfjsCore.neg)((0, _tfjsCore.sum)(i, -1));
+  });
+}function get(e) {
+  var t = { meanSquaredError: meanSquaredError, meanAbsoluteError: meanAbsoluteError, meanAbsolutePercentageError: meanAbsolutePercentageError, meanSquaredLogarithmicError: meanSquaredLogarithmicError, squaredHinge: squaredHinge, hinge: hinge, categoricalHinge: categoricalHinge, logcosh: logcosh, categoricalCrossentropy: categoricalCrossentropy, sparseCategoricalCrossentropy: sparseCategoricalCrossentropy, binaryCrossentropy: binaryCrossentropy, kullbackLeiblerDivergence: kullbackLeiblerDivergence, poisson: poisson, cosineProximity: cosineProximity };if ("string" == typeof e) {
+    if (e in t) return t[e];throw new ValueError("Unknown loss " + e);
+  }return e;
+}function binaryAccuracy(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    var n = scalarTimesArray(getScalar(.5), (0, _tfjsCore.onesLike)(t)),
+        r = cast((0, _tfjsCore.greater)(t, n), e.dtype);return (0, _tfjsCore.mean)((0, _tfjsCore.equal)(e, r), -1);
+  });
+}function categoricalAccuracy(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return cast((0, _tfjsCore.equal)((0, _tfjsCore.argMax)(e, -1), (0, _tfjsCore.argMax)(t, -1)), "float32");
+  });
+}function binaryCrossentropy$1(e, t) {
+  return binaryCrossentropy(e, t);
+}function sparseCategoricalAccuracy(e, t) {
+  throw new NotImplementedError();
+}var mse$1 = meanSquaredError,
+    MSE$1 = meanSquaredError,
+    mae$1 = meanAbsoluteError,
+    MAE$1 = meanAbsoluteError,
+    mape$1 = meanAbsolutePercentageError,
+    MAPE$1 = meanAbsolutePercentageError,
+    categoricalCrossentropy$1 = categoricalCrossentropy,
+    cosine$1 = cosineProximity,
+    sparseCategoricalCrossentropy$1 = sparseCategoricalCrossentropy;function get$1(e) {
+  var t = { binaryAccuracy: binaryAccuracy, categoricalAccuracy: categoricalAccuracy, categoricalCrossentropy: categoricalCrossentropy$1, sparseCategoricalCrossentropy: sparseCategoricalCrossentropy$1, mse: mse$1, MSE: MSE$1, mae: mae$1, MAE: MAE$1, mape: mape$1, MAPE: MAPE$1, cosine: cosine$1 };if ("string" == typeof e && e in t) return t[e];if ("string" != typeof e && null != e) return e;throw new ValueError("Unknown metric " + e);
+}function getOptimizer(e) {
+  var t = { Adagrad: function () {
+      return _tfjsCore.train.adagrad(.01);
+    }, Adadelta: function () {
+      return _tfjsCore.train.adadelta(1, .95, epsilon$1());
+    }, Adam: function () {
+      return _tfjsCore.train.adam(.001, .9, .999, epsilon$1());
+    }, Adamax: function () {
+      return _tfjsCore.train.adamax(.002, .9, .999, epsilon$1(), 0);
+    }, RMSProp: function () {
+      return _tfjsCore.train.rmsprop(.001, .9, null, epsilon$1());
+    }, SGD: function () {
+      return _tfjsCore.train.sgd(.01);
+    } };if (t.adagrad = t.Adagrad, t.adadelta = t.Adadelta, t.adam = t.Adam, t.adamax = t.Adamax, t.rmsprop = t.RMSProp, t.sgd = t.SGD, e in t) return t[e]();throw new ValueError("Unknown Optimizer " + e);
+}function printSummary(e, t, n, r) {
+  void 0 === r && (r = console.log);var i,
+      a = isModelSequentialLike(e),
+      o = ["Layer (type)", "Output shape", "Param #"];if (a ? (t = t || 65, n = n || [.45, .85, 1]) : (t = t || 98, n = n || [.33, .55, .67, 1]), n[n.length - 1] <= 1 && (n = n.map(function (e) {
+    return Math.floor(t * e);
+  })), !a) for (var s in o.push("Receives inputs"), i = [], e.nodesByDepth) i.push.apply(i, e.nodesByDepth[s]);r("_".repeat(t)), printRow(o, n, r), r("=".repeat(t));for (var l, u = e.layers, c = 0; c < u.length; ++c) a ? printLayerSummary(u[c], n, r) : printLayerSummaryWithConnections(u[c], n, i, r), r((c === u.length - 1 ? "=" : "_").repeat(t));e.checkTrainableWeightsConsistency(), l = null != e.collectedTrainableWeights ? countParamsInWeights(e.collectedTrainableWeights) : countParamsInWeights(e.trainableWeights);var p = countParamsInWeights(e.nonTrainableWeights);r("Total params: " + (l + p)), r("Trainable params: " + l), r("Non-trainable params: " + p), r("_".repeat(t));
+}function isModelSequentialLike(e) {
+  var t = !0,
+      n = [],
+      r = [];for (var i in e.nodesByDepth) n.push(e.nodesByDepth[i]);for (var a = 0, o = n; a < o.length; a++) {
+    var s = o[a];if (s.length > 1 || 1 === s.length && s[0].inboundLayers.length > 1) {
+      t = !1;break;
+    }r.push.apply(r, s);
+  }if (t) for (var l = 0, u = e.layers; l < u.length; l++) {
+    for (var c = !1, p = 0, h = u[l].inboundNodes; p < h.length; p++) {
+      var d = h[p];if (-1 !== r.indexOf(d)) {
+        if (c) {
+          t = !1;break;
+        }c = !0;
+      }
+    }if (!t) break;
+  }return t;
+}function printRow(e, t, n) {
+  void 0 === n && (n = console.log);for (var r = "", i = 0; i < e.length; ++i) i > 0 && (r = r.slice(0, r.length - 1) + " "), r = (r += e[i]).slice(0, t[i]), r += " ".repeat(t[i] - r.length);n(r);
+}function printLayerSummary(e, t, n) {
+  var r;try {
+    r = JSON.stringify(e.outputShape);
+  } catch (e) {
+    r = "multiple";
+  }printRow([e.name + " (" + e.getClassName() + ")", r, e.countParams().toString()], t, n);
+}function printLayerSummaryWithConnections(e, t, n, r) {
+  var i;try {
+    i = JSON.stringify(e.outputShape);
+  } catch (e) {
+    i = "multiple";
+  }for (var a = [], o = 0, s = e.inboundNodes; o < s.length; o++) {
+    var l = s[o];if (!(null != n && n.length > 0 && -1 === n.indexOf(l))) for (var u = 0; u < l.inboundLayers.length; ++u) {
+      var c = l.inboundLayers[u].name,
+          p = l.nodeIndices[u],
+          h = l.tensorIndices[u];a.push(c + "[" + p + "][" + h + "]");
+    }
+  }var d = e.name,
+      g = e.getClassName(),
+      f = 0 === a.length ? "" : a[0];printRow([d + " (" + g + ")", i, e.countParams().toString(), f], t, r);for (u = 1; u < a.length; ++u) printRow(["", "", "", a[u]], t, r);
+}function assertFeedCompatibility(e, t) {
+  if (null != e.dtype && e.dtype !== t.dtype) throw new ValueError("The dtype of the feed (" + t.dtype + ") is incompatible with that of the key '" + e.name + "' (" + e.dtype + ").");if (null != e.shape) {
+    if (e.shape.length !== t.shape.length) throw new ValueError("The rank of feed (" + t.shape.length + ") does not match the rank of the key (" + e.shape.length + ").");for (var n = 0; n < e.shape.length; ++n) if (null != e.shape[n] && e.shape[n] !== t.shape[n]) throw new ValueError("The " + n + "-th dimension of the feed (" + t.shape[n] + ") is incompatible with that of the key (" + e.shape[n] + ").");
+  }
+}var ModelLoggingVerbosity,
+    FeedDict = function () {
+  function e(t) {
+    if (this.id2Value = {}, t instanceof e) for (var n in t.id2Value) this.id2Value[n] = t.id2Value[n];else {
+      if (null == t) return;for (var r = 0, i = t; r < i.length; r++) {
+        var a = i[r];this.add(a.key, a.value);
+      }
+    }
+  }return e.prototype.add = function (e, t) {
+    if (assertFeedCompatibility(e, t), null != this.id2Value[e.id]) throw new ValueError("Duplicate key: name=" + e.name + ", id=" + e.id);return this.id2Value[e.id] = t, this;
+  }, e.prototype.addFeed = function (e) {
+    this.add(e.key, e.value);
+  }, e.prototype.hasKey = function (e) {
+    return null != this.id2Value[e.id];
+  }, e.prototype.getValue = function (e) {
+    if (null == this.id2Value[e.id]) throw new ValueError("Nonexistent key: " + JSON.stringify(e));return this.id2Value[e.id];
+  }, e;
+}();function execute(e, t, n) {
+  for (var r = Array.isArray(e), i = r ? e : [e], a = [], o = new FeedDict(t), s = 0, l = i; s < l.length; s++) {
+    var u = l[s];a.push(executeInternal(u, o, n));
+  }return r ? a : a[0];
+}function executeInternal(e, t, n) {
+  if (t.hasKey(e)) return t.getValue(e);if (e.sourceLayer instanceof InputLayer) throw new ValueError("Missing a feed value for SymbolicTensor from InputLayer '" + InputLayer.name + "'");for (var r = [], i = 0, a = e.inputs; i < a.length; i++) {
+    var o = executeInternal(a[i], t, n);r.push(o);
+  }var s = e.sourceLayer.apply(r, n);Array.isArray(s) || (s = [s]);for (var l = getNodeOutputs(e), u = Array.isArray(l) ? l : [l], c = 0; c < u.length; ++c) t.add(u[c], s[c]);return 1 === s.length ? s[0] : s[e.outputTensorIndex];
+}function getNodeOutputs(e) {
+  var t;if (1 === e.sourceLayer.inboundNodes.length) t = e.sourceLayer.output;else {
+    for (var n = null, r = 0; r < e.sourceLayer.inboundNodes.length; ++r) for (var i = 0, a = e.sourceLayer.inboundNodes[r].outputTensors; i < a.length; i++) {
+      if (a[i].id === e.id) {
+        n = r;break;
+      }
+    }t = e.sourceLayer.getOutputAt(n);
+  }return t;
+}function isDataTensor(e) {
+  return e instanceof _tfjsCore.Tensor;
+}function isDataArray(e) {
+  return Array.isArray(e);
+}function isDataDict(e) {
+  return !isDataTensor(e) && !isDataArray(e);
+}function standardizeInputData(e, t, n, r, i) {
+  if (void 0 === r && (r = !0), void 0 === i && (i = ""), null == t || 0 === t.length) {
+    if (null != e) {
+      var a = !1;if (isDataArray(e) && e.length > 0) a = !0;else if (isDataDict(e)) {
+        for (var o in e) if (e.hasOwnProperty(o)) {
+          a = !0;break;
+        }
+      } else a = !0;if (a) throw new ValueError("Error when checking model " + i + " expected no data, but got " + e);
+    }return [];
+  }if (null == e) return t.map(function (e) {
+    return null;
+  });var s;if (isDataDict(e)) {
+    e = e, s = [];for (var l = 0, u = t; l < u.length; l++) {
+      var c = u[l];if (null == e[c]) throw new ValueError('No data provided for "' + c + '". Need data for each key in: ' + t);s.push(e[c]);
+    }
+  } else if (isDataArray(e)) {
+    if ((e = e).length !== t.length) throw new ValueError("Error when checking model " + i + ": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see " + t.length + " Tensor(s), but instead got the following list of Tensor(s): " + e);s = e;
+  } else {
+    if (e = e, t.length > 1) throw new ValueError("The model " + i + " expects " + t.length + " Tensor(s), but only received one Tensor. Found: Tensor with shape " + e.shape);s = [e];
+  }for (var p = 0; p < t.length; ++p) {
+    1 === (h = s[p]).shape.length && (s[p] = expandDims(h, 1));
+  }if (null != n) for (p = 0; p < t.length; ++p) if (null != n[p]) {
+    var h;if ((h = s[p]).shape.length !== n[p].length) throw new ValueError("Error when checking " + i + ": expected " + t[p] + " to have " + n[p].length + " dimension(s). but got array with shape " + h.shape);for (var d = 0; d < n[p].length; ++d) if (0 !== d || r) {
+      var g = h.shape[d],
+          f = n[p][d];if (null != f && f >= 0 && g !== f) throw new ValueError("Error when checking " + i + ": expected " + t[p] + " to have shape [" + n[p] + "], but got array with shape [" + h.shape + "].");
+    }
+  }return s;
+}function checkArrayLengths(e, t, n) {
+  var r = unique(e.map(function (e) {
+    return e.shape[0];
+  }));r.sort();var i = unique(t.map(function (e) {
+    return e.shape[0];
+  }));if (i.sort(), r.length > 1) throw new ValueError("All input Tensors (x) should have the same number of samples. Got array shapes: " + JSON.stringify(e.map(function (e) {
+    return e.shape;
+  })));if (i.length > 1) throw new ValueError("All target Tensors (y) should have the same number of samples. Got array shapes: " + JSON.stringify(t.map(function (e) {
+    return e.shape;
+  })));if (r.length > 0 && i.length > 0 && !_tfjsCore.util.arraysEqual(r, i)) throw new ValueError("Input Tensors should have the same number of samples as target Tensors. Found " + r[0] + " input sample(s) and " + i[0] + " target sample(s).");
+}function checkLossAndTargetCompatibility(e, t, n) {
+  for (var r = [meanSquaredError, binaryCrossentropy, categoricalCrossentropy], i = 0; i < e.length; ++i) {
+    var a = e[i],
+        o = t[i],
+        s = n[i];if (null != o) {
+      if (o === categoricalCrossentropy && 1 === a.shape[a.shape.length - 1]) throw new ValueError("You are passing a target array of shape " + a.shape + " while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if (-1 !== r.indexOf(o)) for (var l = a.shape.slice(1), u = s.slice(1), c = 0; c < l.length; ++c) {
+        var p = l[c],
+            h = u[c];if (null != h && p !== h) throw new ValueError("A target Tensor with shape " + a.shape + " was passed for an output of shape " + s + ", while using a loss function that expects targets to have the same shape as the output.");
+      }
+    }
+  }
+}function makeBatches(e, t) {
+  for (var n = [], r = 0, i = null; r < e;) (i = r + t) >= e && (i = e), n.push([r, i]), r = i;return n;
+}function sliceArrays(e, t, n) {
+  return null == e ? [null] : Array.isArray(e) ? e.map(function (e) {
+    return sliceAlongFirstAxis(e, t, n - t);
+  }) : sliceAlongFirstAxis(e, t, n - t);
+}function sliceArraysByIndices(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return null == e ? null : Array.isArray(e) ? e.map(function (e) {
+      return sliceArraysByIndices(e, t);
+    }) : gather$1(e, "int32" === t.dtype ? t : t.toInt());
+  });
+}function checkInputData(e, t, n, r, i) {
+  var a;if (void 0 === r && (r = !0), void 0 === i && (i = ""), Array.isArray(e)) {
+    if (e.length !== t.length) throw new ValueError("Error when checking model " + i + ": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see " + t.length + " Tensor(s), but instead got " + e.length + " Tensors(s).");a = e;
+  } else {
+    if (t.length > 1) throw new ValueError("The model expects " + t.length + " " + i + " Tensors, but only received one Tensor. Found: array with shape " + JSON.stringify(e.shape) + ".");a = [e];
+  }if (null != n) for (var o = 0; o < t.length; ++o) if (null != n[o]) {
+    var s = a[o];if (s.shape.length !== n[o].length) throw new ValueError("Error when checking " + i + ": expected " + t[o] + " to have " + n[o].length + " dimension(s), but got array with shape " + JSON.stringify(s.shape));for (var l = 0; l < n[o].length; ++l) if (0 !== l || r) {
+      var u = s.shape[l],
+          c = n[o][l];if (null != c && c !== u) throw new ValueError("Error when checking " + i + ": expected " + t[o] + " to have shape " + JSON.stringify(n[o]) + " but got array with shape " + JSON.stringify(s.shape) + ".");
+    }
+  }
+}function collectMetrics(e, t) {
+  if (null == e || Array.isArray(e) && 0 === e.length) return t.map(function (e) {
+    return [];
+  });if (Array.isArray(e)) return t.map(function (t) {
+    return e;
+  });if (null != e) {
+    for (var n = [], r = 0, i = t; r < i.length; r++) {
+      var a = i[r],
+          o = e.hasOwnProperty(a) ? e[a] : [];Array.isArray(o) || (o = [o]), n.push(o);
+    }return n;
+  }throw new TypeError("Type of metrics argument not understood. Expected an Array or Object, found: " + e);
+}!function (e) {
+  e[e.SILENT = 0] = "SILENT", e[e.VERBOSE = 1] = "VERBOSE";
+}(ModelLoggingVerbosity || (ModelLoggingVerbosity = {}));var Model = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.summary = function (e, t, n) {
+    if (void 0 === n && (n = console.log), !this.built) throw new ValueError("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");printSummary(this, e, t, n);
+  }, t.prototype.compile = function (e) {
+    var t = this;if (null == e.loss && (e.loss = []), this.loss = e.loss, "string" == typeof e.optimizer) this.optimizer = getOptimizer(e.optimizer);else {
+      if (!(e.optimizer instanceof _tfjsCore.Optimizer)) throw new ValueError("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer = e.optimizer;
+    }var n = [];if (Array.isArray(e.loss) || "string" == typeof e.loss || "function" == typeof e.loss) {
+      if (Array.isArray(e.loss)) {
+        if (e.loss.length !== this.outputs.length) throw new ValueError("When passing an Array as loss, it should have one entry per model output. The model has " + this.outputs.length + " output(s), but you passed loss=" + e.loss + ".");var r = e.loss;n = r.map(function (e) {
+          return get(e);
+        });
+      } else {
+        var i = get(e.loss);this.outputs.map(function (e) {
+          n.push(i);
+        });
+      }
+    } else {
+      for (var a in e.loss = e.loss, e.loss) if (-1 === this.outputNames.indexOf(a)) throw new ValueError('Unknown entry in loss dictionary: "' + a + '". Only expect the following keys: ' + this.outputNames);for (var o in this.outputNames) null == e.loss[o] && console.warn('Output "' + o + '" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ' + o + " during training"), n.push(get(e.loss[o]));
+    }this.lossFunctions = n, this.feedOutputNames = [], this.feedOutputShapes = [], this.feedLossFns = [];for (var s = 0; s < this.outputs.length; ++s) {
+      var l = this.internalOutputShapes[s],
+          u = this.outputNames[s];this.feedOutputNames.push(u), this.feedOutputShapes.push(l), this.feedLossFns.push(this.lossFunctions[s]);
+    }var c = [];this.metrics = e.metrics, this.metricsNames = ["loss"], this.metricsTensors = [], nameScope$1("loss", function () {
+      for (var e = 0; e < t.outputs.length; ++e) if (-1 === c.indexOf(e)) {
+        var n = t.lossFunctions[e];t.outputs.length > 1 && (t.metricsTensors.push([n, e]), t.metricsNames.push(t.outputNames[e] + "_loss"));
+      }
+    });var p = collectMetrics(e.metrics, this.outputNames);nameScope$1("metric", function () {
+      for (var e = function (e) {
+        if (-1 !== c.indexOf(e)) return "continue";!function (n) {
+          for (var r, i, a, o = function (n) {
+            if (-1 !== ["accuracy", "acc", "crossentropy", "ce"].indexOf(n)) {
+              var o = t.internalOutputShapes[e];1 === o[o.length - 1] || t.lossFunctions[e] === binaryCrossentropy ? -1 !== ["accuracy", "acc"].indexOf(n) ? i = binaryAccuracy : -1 !== ["crossentropy", "ce"].indexOf(n) && (i = binaryCrossentropy$1) : t.lossFunctions[e] === sparseCategoricalCrossentropy ? -1 !== ["accuracy", "acc"].indexOf(n) ? i = sparseCategoricalAccuracy : -1 !== ["crossentropy", "ce"].indexOf(n) && (i = sparseCategoricalCrossentropy$1) : -1 !== ["accuracy", "acc"].indexOf(n) ? i = categoricalAccuracy : -1 !== ["crossentropy", "ce"].indexOf(n) && (i = categoricalCrossentropy$1);var s = void 0;-1 !== ["accuracy", "acc"].indexOf(n) ? s = "acc" : -1 !== ["crossentropy", "ce"].indexOf(n) && (s = "ce"), a = i, r = "" + s;
+            } else {
+              var l = get$1(n);a = l, r = "" + n;
+            }var u;nameScope$1(r, function () {
+              u = a;
+            }), function (e, n, r) {
+              t.outputNames.length > 1 && (n = t.outputNames[e] + "_" + n), t.metricsNames.push(n), t.metricsTensors.push([r, e]);
+            }(e, r, u);
+          }, s = 0, l = n; s < l.length; s++) o(l[s]);
+        }(p[e]);
+      }, n = 0; n < t.outputs.length; ++n) e(n);
+    }), this.collectedTrainableWeights = this.trainableWeights;
+  }, t.prototype.checkTrainableWeightsConsistency = function () {
+    null != this.collectedTrainableWeights && this.trainableWeights.length !== this.collectedTrainableWeights.length && console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?");
+  }, t.prototype.evaluate = function (e, t, n) {
+    void 0 === n && (n = {});var r = null == n.batchSize ? 32 : n.batchSize,
+        i = this.standardizeUserData(e, t, !0, r),
+        a = i[0].concat(i[1]);this.makeTestFunction();var o = this.testFunction;return singletonOrArray(this.testLoop(o, a, r, n.verbose, n.steps));
+  }, t.prototype.checkNumSamples = function (e, t, n, r) {
+    var i;if (void 0 === r && (r = "steps"), null != n) {
+      if (i = null, null != t) throw new ValueError("If " + r + " is set, batchSize must be null or undefined.Got batchSize = " + t);
+    } else {
+      if (null == e) throw new ValueError("Either the input data should have a defined shape, or " + r + " shoud be specified.");i = Array.isArray(e) ? e[0].shape[0] : e.shape[0];
+    }return i;
+  }, t.prototype.execute = function (e, t) {
+    if (Array.isArray(t) && 0 === t.length) throw new ValueError("`outputs` is an empty Array, which is not allowed.");var n = Array.isArray(t),
+        r = n ? t : [t],
+        i = this.retrieveSymbolicTensors(r),
+        a = new FeedDict();if (e instanceof _tfjsCore.Tensor && (e = [e]), Array.isArray(e)) {
+      if (e.length !== this.inputs.length) throw new ValueError("The number of inputs provided (" + e.length + ") does not match the number of inputs of this model (" + this.inputs.length + ").");for (var o = 0; o < this.inputs.length; ++o) a.add(this.inputs[o], e[o]);
+    } else for (var s = 0, l = this.inputs; s < l.length; s++) {
+      var u = l[s],
+          c = e[u.name];if (null == c) throw new ValueError("No value is provided for the model's input " + u.name);a.add(u, c);
+    }var p = execute(i, a);return n ? p : p[0];
+  }, t.prototype.retrieveSymbolicTensors = function (e) {
+    for (var t = pyListRepeat(null, e.length), n = e.length, r = 0, i = this.layers; r < i.length; r++) {
+      for (var a = i[r], o = Array.isArray(a.output) ? a.output : [a.output], s = o.map(function (e) {
+        return e.name;
+      }), l = 0; l < e.length; ++l) {
+        var u = s.indexOf(e[l]);if (-1 !== u && (t[l] = o[u], n--), 0 === n) break;
+      }if (0 === n) break;
+    }if (n > 0) {
+      var c = [];throw t.forEach(function (t, n) {
+        null == t && c.push(e[n]);
+      }), new ValueError("Cannot find SymbolicTensors for output name(s): " + JSON.stringify(c));
+    }return t;
+  }, t.prototype.predictLoop = function (e, t, n) {
+    var r = this;void 0 === t && (t = 32), void 0 === n && (n = !1);var i = this.checkNumSamples(e);if (n) throw new NotImplementedError("Verbose predictLoop() is not implemented yet.");for (var a = makeBatches(i, t), o = [], s = function (t) {
+      var n = (0, _tfjsCore.tidy)(function () {
+        var n = a[t][0],
+            i = a[t][1],
+            o = sliceArrays(e, n, i),
+            s = [];if (Array.isArray(o)) for (var l = 0; l < o.length; ++l) s.push({ key: r.inputs[l], value: o[l] });else s.push({ key: r.inputs[0], value: o });var u = new FeedDict(s);return execute(r.outputs, u);
+      });if (0 === t) for (var i = 0, s = n; i < s.length; i++) {
+        var l = s[i];o.push(l);
+      } else for (var u = 0; u < n.length; ++u) o[u] = concatAlongFirstAxis(o[u], n[u]);
+    }, l = 0; l < a.length; ++l) s(l);return singletonOrArray(o);
+  }, t.prototype.predict = function (e, t) {
+    void 0 === t && (t = {}), checkInputData(e, this.inputNames, this.feedInputShapes, !1);var n = null == t.batchSize ? 32 : t.batchSize;return this.predictLoop(e, n);
+  }, t.prototype.predictOnBatch = function (e) {
+    return checkInputData(e, this.inputNames, this.feedInputShapes, !0), this.predictLoop(e, e.shape[0]);
+  }, t.prototype.standardizeUserData = function (e, t, n, r) {
+    if (void 0 === n && (n = !0), null == this.optimizer) throw new RuntimeError("You must compile a model before training/testing. Use Model.compile(modelCompileConfig).");for (var i = [], a = 0; a < this.feedOutputShapes.length; ++a) {
+      var o = this.feedOutputShapes[a];this.feedLossFns[a] === sparseCategoricalCrossentropy ? i.push(o.slice(0, o.length - 1).concat([1])) : i.push(o);
+    }if (checkArrayLengths(e = standardizeInputData(e, this.feedInputNames, this.feedInputShapes, !1, "input"), t = standardizeInputData(t, this.feedOutputNames, i, !1, "target"), null), checkLossAndTargetCompatibility(t, this.feedLossFns, this.feedOutputShapes), this.stateful && null != r && r > 0 && e[0].shape[0] % r != 0) throw new ValueError("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size " + r + ". Found: " + e[0].shape[0] + " sample(s).");return [e, t, null];
+  }, t.prototype.fitLoop = function (e, t, n, r, i, a, o, s, l, u, c, p, h, d) {
+    return void 0 === p && (p = 0), __awaiter(this, void 0, void 0, function () {
+      var g,
+          f,
+          m,
+          y,
+          v,
+          b,
+          z,
+          w = this;return __generator(this, function (S) {
+        switch (S.label) {case 0:
+            if (null == r && (r = 32), null == i && (i = 1), null == u && (u = !0), null == p && (p = 0), g = !1, null != s && null != l && (g = !0), null != d && (g = !0, null == h)) throw new ValueError("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");if (null != (f = this.checkNumSamples(t, r, h, "steps_per_epoch")) && (m = range(0, f)), this.history = new History(), o = (o = null == o ? [new BaseLogger()] : [new BaseLogger()].concat(o)).concat([this.history]), a > 0) throw new NotImplementedError("Verbose mode is not implemented yet.");return (y = new CallbackList(o)).setModel(this), y.setParams({ epochs: i, steps: h, verbose: a, doValidation: g, metrics: c }), [4, y.onTrainBegin()];case 1:
+            S.sent(), this.stopTraining = !1, v = function (i) {
+              var a, o, c, p, d;return __generator(this, function (v) {
+                switch (v.label) {case 0:
+                    return [4, y.onEpochBegin(i)];case 1:
+                    if (v.sent(), a = {}, null == h) return [3, 2];throw new NotImplementedError("stepsPerEpoch mode is not implemented yet.");case 2:
+                    if ("batch" === u) throw new NotImplementedError("batch shuffling is not implemneted yet");u && _tfjsCore.util.shuffle(m), o = (0, _tfjsCore.tensor1d)(m), c = makeBatches(f, r), p = function (i) {
+                      var u;return __generator(this, function (p) {
+                        switch (p.label) {case 0:
+                            return u = {}, [4, y.onBatchBegin(i, u)];case 1:
+                            return p.sent(), (0, _tfjsCore.tidy)(function () {
+                              var p = c[i][0],
+                                  h = c[i][1],
+                                  d = sliceAlongFirstAxis(o, p, h - p);u.batch = i, u.size = h - p;for (var f = sliceArraysByIndices(t, d), m = e(f), y = 0; y < n.length; ++y) {
+                                var v = n[y],
+                                    b = m[y];u[v] = b, (0, _tfjsCore.keep)(b);
+                              }if (i === c.length - 1 && g) {
+                                var z = w.testLoop(s, l, r);for (y = 0; y < n.length; ++y) {
+                                  v = n[y], b = z[y];(0, _tfjsCore.keep)(b), a["val_" + v] = b;
+                                }
+                              }
+                            }), [4, y.onBatchEnd(i, u)];case 2:
+                            return p.sent(), disposeTensorsInLogs(u), b.stopTraining ? [2, "break"] : [2];}
+                      });
+                    }, d = 0, v.label = 3;case 3:
+                    return d < c.length ? [5, p(d)] : [3, 6];case 4:
+                    if ("break" === v.sent()) return [3, 6];v.label = 5;case 5:
+                    return ++d, [3, 3];case 6:
+                    o.dispose(), v.label = 7;case 7:
+                    return [4, y.onEpochEnd(i, a)];case 8:
+                    return v.sent(), b.stopTraining ? [2, "break"] : [2];}
+              });
+            }, b = this, z = p, S.label = 2;case 2:
+            return z < i ? [5, v(z)] : [3, 5];case 3:
+            if ("break" === S.sent()) return [3, 5];S.label = 4;case 4:
+            return ++z, [3, 2];case 5:
+            return [4, y.onTrainEnd()];case 6:
+            return S.sent(), [4, this.history.syncData()];case 7:
+            return S.sent(), [2, this.history];}
+      });
+    });
+  }, t.prototype.testLoop = function (e, t, n, r, i) {
+    void 0 === r && (r = 0);var a = this.checkNumSamples(t, n, i, "steps"),
+        o = [];if (1 === r) throw new NotImplementedError("Verbose mode is not implemented yet.");if (null != i) throw new NotImplementedError("steps mode in testLoop() is not implemented yet");for (var s = makeBatches(a, n), l = (0, _tfjsCore.tensor1d)(range(0, a)), u = 0; u < s.length; ++u) {
+      var c = s[u][0],
+          p = s[u][1],
+          h = e(sliceArraysByIndices(t, sliceAlongFirstAxis(l, c, p - c)));if (0 === u) for (var d = 0; d < h.length; ++d) o.push(getScalar(0));for (d = 0; d < h.length; ++d) {
+        var g = h[d];o[d] = (0, _tfjsCore.add)(o[d], scalarTimesArray(getScalar(p - c), g));
+      }
+    }for (d = 0; d < o.length; ++d) o[d] = (0, _tfjsCore.div)(o[d], getScalar(a));return o;
+  }, t.prototype.getDedupedMetricsNames = function () {
+    for (var e = this.metricsNames, t = [], n = 0; n < e.length; ++n) {
+      var r = e[n],
+          i = r;if (count(e, r) > 1) i += "_" + count(e.slice(0, n), r);t.push(i);
+    }return t;
+  }, t.prototype.makeTestFunction = function () {
+    var e = this;this.testFunction = function (t) {
+      return (0, _tfjsCore.tidy)(function () {
+        for (var n, r = [], i = t.slice(0, e.inputs.length), a = t.slice(e.inputs.length, e.inputs.length + e.outputs.length), o = [], s = 0; s < e.inputs.length; ++s) o.push({ key: e.inputs[s], value: i[s] });var l = new FeedDict(o),
+            u = execute(e.outputs, l);for (s = 0; s < e.lossFunctions.length; ++s) {
+          var c = e.lossFunctions[s],
+              p = (0, _tfjsCore.mean)(c(a[s], u[s]));n = 0 === s ? p : (0, _tfjsCore.add)(n, p), r.push(n);
+        }for (s = 0; s < e.metricsTensors.length; ++s) {
+          var h = e.metricsTensors[s][0],
+              d = e.metricsTensors[s][1],
+              g = (0, _tfjsCore.mean)(h(a[d], u[d]));r.push(g);
+        }return r;
+      });
+    };
+  }, t.prototype.fit = function (e, t, n) {
+    return void 0 === n && (n = {}), __awaiter(this, void 0, void 0, function () {
+      var r,
+          i,
+          a,
+          o,
+          s,
+          l,
+          u,
+          c,
+          p,
+          h,
+          d,
+          g,
+          f,
+          m,
+          y,
+          v,
+          b,
+          z,
+          w,
+          S = this;return __generator(this, function (I) {
+        switch (I.label) {case 0:
+            if (r = null == n.batchSize ? 32 : n.batchSize, i = this.standardizeUserData(e, t, !1, r), a = i[0], o = i[1], s = !1, p = !1, null != n.validationData && n.validationData.length > 0) {
+              if (s = !0, 2 !== n.validationData.length) throw 3 === n.validationData.length ? new NotImplementedError("validationData including sample weights is not supported yet.") : new ValueError("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; " + n.validationData + " is invalid.");l = n.validationData[0], u = n.validationData[1], h = this.standardizeUserData(l, u, !0, r), l = h[0], u = h[1], c = l.concat(u);
+            } else null != n.validationSplit && n.validationSplit > 0 && n.validationSplit < 1 ? (s = !0, d = Math.floor(a[0].shape[0] * (1 - n.validationSplit)), g = a[0].shape[0], l = sliceArrays(a, d, g), a = sliceArrays(a, 0, d), u = sliceArrays(o, d, g), o = sliceArrays(o, 0, d), p = !0, c = l.concat(u)) : null != n.validationSteps && (s = !0);return f = a.concat(o), this.checkTrainableWeightsConsistency(), m = function (e) {
+              var t = e.slice(0, S.inputs.length),
+                  n = e.slice(S.inputs.length, S.inputs.length + S.outputs.length),
+                  r = [],
+                  i = S.collectedTrainableWeights.map(function (e) {
+                return e.read();
+              });return [S.optimizer.minimize(function () {
+                for (var e = [], i = 0; i < S.inputs.length; ++i) e.push({ key: S.inputs[i], value: t[i] });var a,
+                    o = new FeedDict(e),
+                    s = execute(S.outputs, o, { training: !0 });for (i = 0; i < S.lossFunctions.length; ++i) {
+                  var l = (0, S.lossFunctions[i])(n[i], s[i]);(0, _tfjsCore.mean)(l), a = 0 === i ? l : (0, _tfjsCore.add)(a, l);
+                }for (i = 0; i < S.metricsTensors.length; ++i) {
+                  var u = S.metricsTensors[i][0],
+                      c = S.metricsTensors[i][1],
+                      p = (0, _tfjsCore.mean)(u(n[c], s[c]));(0, _tfjsCore.keep)(p), r.push(p);
+                }return a = (0, _tfjsCore.mean)(a), S.calculateLosses().forEach(function (e) {
+                  a = (0, _tfjsCore.add)(a, e);
+                }), a;
+              }, !0, i)].concat(r);
+            }, y = this.getDedupedMetricsNames(), s ? (this.makeTestFunction(), v = this.testFunction, b = y.slice().concat(y.map(function (e) {
+              return "val_" + e;
+            }))) : (v = null, c = [], b = y.slice()), z = standardizeCallbacks(n.callbacks), [4, this.fitLoop(m, f, y, r, n.epochs, n.verbose, z, v, c, n.shuffle, b, null, null, null)];case 1:
+            return w = I.sent(), p && (c.forEach(function (e) {
+              return e.dispose();
+            }), a.forEach(function (e) {
+              return e.dispose();
+            }), o.forEach(function (e) {
+              return e.dispose();
+            })), [2, w];}
+      });
+    });
+  }, t.prototype.getNamedWeights = function (e) {
+    for (var t = {}, n = null != e && e.trainableOnly, r = n ? this.trainableWeights : this.weights, i = this.getWeights(n), a = 0; a < r.length; ++a) n && !r[a].trainable || (t[r[a].originalName] = i[a]);return t;
+  }, t.prototype.save = function (e, t) {
+    return __awaiter(this, void 0, void 0, function () {
+      var n, r, i, a, o;return __generator(this, function (s) {
+        switch (s.label) {case 0:
+            if ("string" == typeof e) {
+              if (0 === (n = _tfjsCore.io.getSaveHandlers(e)).length) throw new ValueError("Cannot find any save handlers for URL '" + e + "'");if (n.length > 1) throw new ValueError("Found more than one (" + n.length + ") save handlers for URL '" + e + "'");e = n[0];
+            }if (null == e.save) throw new ValueError("Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return [4, _tfjsCore.io.encodeWeights(this.getNamedWeights(t))];case 1:
+            return r = s.sent(), i = !1, a = null, o = this.toJSON(a, i), [2, e.save({ modelTopology: o, weightData: r.data, weightSpecs: r.specs })];}
+      });
+    });
+  }, t.className = "Model", __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t.prototype, "summary", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [0] })], t.prototype, "compile", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [2] })], t.prototype, "evaluate", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [1] })], t.prototype, "predict", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t.prototype, "predictOnBatch", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [2] })], t.prototype, "fit", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [1] })], t.prototype, "save", null), t = __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t);
+}(Container);_tfjsCore.serialization.SerializationMap.register(Model);var VALID_FAN_MODE_VALUES = ["fanIn", "fanOut", "fanAvg"];function checkFanMode(e) {
+  checkStringTypeUnionValue(VALID_FAN_MODE_VALUES, "FanMode", e);
+}var VALID_DISTRIBUTION_VALUES = ["normal", "uniform"];function checkDistribution(e) {
+  checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES, "Distribution", e);
+}var Initializer = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.fromConfigUsesCustomObjects = function () {
+    return !1;
+  }, t.prototype.getConfig = function () {
+    return {};
+  }, t = __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", subheading: "Classes", namespace: "initializers" })], t);
+}(_tfjsCore.serialization.Serializable),
+    Zeros = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    return (0, _tfjsCore.zeros)(e, t);
+  }, t.className = "Zeros", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(Zeros);var Ones = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    return (0, _tfjsCore.ones)(e, t);
+  }, t.className = "Ones", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(Ones);var Constant = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.value = t.value, n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return scalarTimesArray((0, _tfjsCore.scalar)(n.value), (0, _tfjsCore.ones)(e, t));
+    });
+  }, t.prototype.getConfig = function () {
+    return { value: this.value };
+  }, t.className = "Constant", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(Constant);var RandomUniform = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.DEFAULT_MINVAL = -.05, n.DEFAULT_MAXVAL = .05, n.minval = t.minval || n.DEFAULT_MINVAL, n.maxval = t.maxval || n.DEFAULT_MAXVAL, n.seed = t.seed, n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    return (0, _tfjsCore.randomUniform)(e, this.minval, this.maxval, t);
+  }, t.prototype.getConfig = function () {
+    return { minval: this.minval, maxval: this.maxval, seed: this.seed };
+  }, t.className = "RandomUniform", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(RandomUniform);var RandomNormal = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.DEFAULT_MEAN = 0, n.DEFAULT_STDDEV = .05, n.mean = t.mean || n.DEFAULT_MEAN, n.stddev = t.stddev || n.DEFAULT_STDDEV, n.seed = t.seed, n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    if ("bool" === t) throw new NotImplementedError("randomNormal does not support dType bool.");return randomNormal$1(e, this.mean, this.stddev, t, this.seed);
+  }, t.prototype.getConfig = function () {
+    return { mean: this.mean, stddev: this.stddev, seed: this.seed };
+  }, t.className = "RandomNormal", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(RandomNormal);var TruncatedNormal = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.DEFAULT_MEAN = 0, n.DEFAULT_STDDEV = .05, n.mean = t.mean || n.DEFAULT_MEAN, n.stddev = t.stddev || n.DEFAULT_STDDEV, n.seed = t.seed, n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    if ("bool" === t) throw new NotImplementedError("truncatedNormal does not support dType bool.");return (0, _tfjsCore.truncatedNormal)(e, this.mean, this.stddev, t, this.seed);
+  }, t.prototype.getConfig = function () {
+    return { mean: this.mean, stddev: this.stddev, seed: this.seed };
+  }, t.className = "TruncatedNormal", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(TruncatedNormal);var Identity = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;return n.gain = null != t.gain ? (0, _tfjsCore.scalar)(t.gain) : getScalar(1), n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (2 !== e.length || e[0] !== e[1]) throw new ValueError("Identity matrix initializer can only be used for 2D square matrices.");return scalarTimesArray(n.gain, (0, _tfjsCore.eye)(e[0]));
+    });
+  }, t.prototype.getConfig = function () {
+    return { gain: this.gain.get() };
+  }, t.className = "Identity", t;
+}(Initializer);function computeFans(e, t) {
+  var n, r;if (void 0 === t && (t = "channelsLast"), checkDataFormat(t), 2 === e.length) n = e[0], r = e[1];else if (-1 !== [3, 4, 5].indexOf(e.length)) {
+    if ("channelsFirst" === t) {
+      var i = arrayProd(e, 2);n = e[1] * i, r = e[0] * i;
+    } else if ("channelsLast" === t) {
+      i = arrayProd(e, 0, e.length - 2);n = e[e.length - 2] * i, r = e[e.length - 1] * i;
+    }
+  } else {
+    var a = arrayProd(e);n = Math.sqrt(a), r = Math.sqrt(a);
+  }return [n, r];
+}_tfjsCore.serialization.SerializationMap.register(Identity);var VarianceScaling = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;if (t.scale < 0) throw new ValueError("scale must be a positive float. Got: " + t.scale);return n.scale = null == t.scale ? 1 : t.scale, n.mode = t.mode, checkFanMode(n.mode), n.distribution = t.distribution, checkDistribution(n.distribution), n.seed = t.seed, n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    var n = computeFans(e),
+        r = n[0],
+        i = n[1],
+        a = this.scale;if ("fanIn" === this.mode ? a /= Math.max(1, r) : "fanOut" === this.mode ? a /= Math.max(1, i) : a /= Math.max(1, (r + i) / 2), "normal" === this.distribution) {
+      var o = Math.sqrt(a);if ("bool" === t) throw new NotImplementedError(this.getClassName() + " does not support dType bool.");return (0, _tfjsCore.truncatedNormal)(e, 0, o, t, this.seed);
+    }var s = Math.sqrt(3 * a);return (0, _tfjsCore.randomUniform)(e, -s, s, t);
+  }, t.prototype.getConfig = function () {
+    return { scale: this.scale, mode: this.mode, distribution: this.distribution, seed: this.seed };
+  }, t.className = "VarianceScaling", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(VarianceScaling);var GlorotUniform = function (e) {
+  function t(t) {
+    return e.call(this, { scale: 1, mode: "fanAvg", distribution: "uniform", seed: null == t ? null : t.seed }) || this;
+  }return __extends(t, e), t.prototype.getClassName = function () {
+    return VarianceScaling.className;
+  }, t;
+}(VarianceScaling),
+    GlorotNormal = function (e) {
+  function t(t) {
+    return e.call(this, { scale: 1, mode: "fanAvg", distribution: "normal", seed: null == t ? null : t.seed }) || this;
+  }return __extends(t, e), t.prototype.getClassName = function () {
+    return VarianceScaling.className;
+  }, t;
+}(VarianceScaling),
+    HeNormal = function (e) {
+  function t(t) {
+    return e.call(this, { scale: 2, mode: "fanIn", distribution: "normal", seed: null == t ? null : t.seed }) || this;
+  }return __extends(t, e), t.prototype.getClassName = function () {
+    return VarianceScaling.className;
+  }, t;
+}(VarianceScaling),
+    LeCunNormal = function (e) {
+  function t(t) {
+    return e.call(this, { scale: 1, mode: "fanIn", distribution: "normal", seed: null == t ? null : t.seed }) || this;
+  }return __extends(t, e), t.prototype.getClassName = function () {
+    return VarianceScaling.className;
+  }, t;
+}(VarianceScaling),
+    Orthogonal = function (e) {
+  function t(t) {
+    var n = e.call(this) || this;if (n.DEFAULT_GAIN = 1, n.gain = null == t.gain ? n.DEFAULT_GAIN : t.gain, n.seed = t.seed, null != n.seed) throw new NotImplementedError("Random seed is not implemented for Orthogonal Initializer yet.");return n;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (2 !== e.length) throw new NotImplementedError("The Orthogonal Initializer does not support non-2D shapes yet.");e[0] * e[1] > 2e3 && console.warn("Orthogonal initializer is being called on a matrix with more than 2000 (" + e[0] * e[1] + ") elements: Slowness may result.");var t = randomNormal$1(e[0] > e[1] ? [e[1], e[0]] : e, 0, 1, "float32"),
+          r = _tfjsCore.linalg.gramSchmidt(t);return e[0] > e[1] && (r = r.transpose()), scalarTimesArray(getScalar(n.gain), r);
+    });
+  }, t.prototype.getConfig = function () {
+    return { gain: this.gain, seed: this.seed };
+  }, t.className = "Orthogonal", t;
+}(Initializer);_tfjsCore.serialization.SerializationMap.register(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP = { constant: "Constant", glorotNormal: "GlorotNormal", glorotUniform: "GlorotUniform", heNormal: "HeNormal", identity: "Identity", leCunNormal: "LeCunNormal", ones: "Ones", orthogonal: "Orthogonal", randomNormal: "RandomNormal", randomUniform: "RandomUniform", truncatedNormal: "TruncatedNormal", varianceScaling: "VarianceScaling", zeros: "Zeros" };function deserializeInitializer(e, t) {
+  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, "initializer");
+}function serializeInitializer(e) {
+  return serializeKerasObject(e);
+}function getInitializer(e) {
+  if ("string" == typeof e) {
+    var t = e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ? INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e;return "GlorotUniform" === t ? new GlorotUniform() : "GlorotNormal" === t ? new GlorotNormal() : "HeNormal" === t ? new HeNormal() : "LeCunNormal" === t ? new LeCunNormal() : deserializeInitializer({ className: t, config: {} });
+  }return e instanceof Initializer ? e : deserializeInitializer(e);
+}var Activation = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.getConfig = function () {
+    return {};
+  }, t;
+}(_tfjsCore.serialization.Serializable),
+    Elu = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    return void 0 === t && (t = 1), elu$1(e, t);
+  }, t.className = "elu", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Elu);var Selu = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.selu)(e);
+  }, t.className = "selu", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Selu);var Relu = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.relu)(e);
+  }, t.className = "relu", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Relu);var Relu6 = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      return (0, _tfjsCore.minimum)(getScalar(6), (0, _tfjsCore.relu)(e));
+    });
+  }, t.className = "relu6", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Relu6);var Linear = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return e;
+  }, t.className = "linear", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Linear);var Sigmoid = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.sigmoid)(e);
+  }, t.className = "sigmoid", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Sigmoid);var HardSigmoid = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return hardSigmoid(e);
+  }, t.className = "hardSigmoid", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(HardSigmoid);var Softplus = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.softplus)(e);
+  }, t.className = "softplus", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Softplus);var Softsign = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return softsign(e);
+  }, t.className = "softsign", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Softsign);var Tanh = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    return (0, _tfjsCore.tanh)(e);
+  }, t.className = "tanh", t;
+}(Activation);_tfjsCore.serialization.SerializationMap.register(Tanh);var Softmax = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.apply = function (e, t) {
+    return void 0 === t && (t = -1), (0, _tfjsCore.softmax)(e, t);
+  }, t.className = "softmax", t;
+}(Activation);function serializeActivation(e) {
+  return e.getClassName();
+}function deserializeActivation(e, t) {
+  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, "activation");
+}function getActivation(e) {
+  return null == e ? deserializeActivation({ className: "linear", config: {} }) : "string" == typeof e ? deserializeActivation({ className: e, config: {} }) : e instanceof Activation ? e : deserializeActivation(e);
+}_tfjsCore.serialization.SerializationMap.register(Softmax);var LeakyReLU = function (e) {
+  function t(t) {
+    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_ALPHA = .3, null == t && (t = {}), n.alpha = null == t.alpha ? n.DEFAULT_ALPHA : t.alpha, n;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = getExactlyOneTensor(e);return (0, _tfjsCore.leakyRelu)(n, this.alpha);
+  }, t.prototype.computeOutputShape = function (e) {
+    return e;
+  }, t.prototype.getConfig = function () {
+    var t = { alpha: this.alpha },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "LeakyReLU", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(LeakyReLU);var ELU = function (e) {
+  function t(t) {
+    var n = e.call(this, null == t ? {} : t) || this;if (n.DEFAULT_ALPHA = 1, null == t && (t = {}), null != t.alpha && t.alpha !== n.DEFAULT_ALPHA) throw new NotImplementedError("Non-default alpha value (" + t.alpha + ") is not supported by the ELU layer yet.");return n.alpha = null == t.alpha ? n.DEFAULT_ALPHA : t.alpha, n;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = getExactlyOneTensor(e);return (0, _tfjsCore.elu)(n);
+  }, t.prototype.computeOutputShape = function (e) {
+    return e;
+  }, t.prototype.getConfig = function () {
+    var t = { alpha: this.alpha },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "ELU", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(ELU);var ThresholdedReLU = function (e) {
+  function t(t) {
+    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_THETA = 1, null == t && (t = {}), n.theta = null == t.theta ? n.DEFAULT_THETA : t.theta, n.thetaTensor = getScalar(n.theta), n;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = getExactlyOneTensor(e);return n.mul(cast(n.greater(this.thetaTensor), "float32"));
+  }, t.prototype.computeOutputShape = function (e) {
+    return e;
+  }, t.prototype.getConfig = function () {
+    var t = { theta: this.theta },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "ThresholdedReLU", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(ThresholdedReLU);var Softmax$1 = function (e) {
+  function t(t) {
+    var n = e.call(this, null == t ? {} : t) || this;return n.DEFAULT_AXIS = 1, null == t && (t = {}), n.softmax = new Softmax().apply, n.axis = null == t.axis ? n.DEFAULT_AXIS : t.axis, n;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = getExactlyOneTensor(e);return this.softmax(n, this.axis);
+  }, t.prototype.computeOutputShape = function (e) {
+    return e;
+  }, t.prototype.getConfig = function () {
+    var t = { axis: this.axis },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Softmax", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Softmax$1);var Regularizer = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t;
+}(_tfjsCore.serialization.Serializable),
+    L1L2 = function (e) {
+  function t(t) {
+    var n = e.call(this) || this,
+        r = null == t || null == t.l1 ? .01 : t.l1,
+        i = null == t || null == t.l2 ? .01 : t.l2;return n.hasL1 = 0 !== r, n.hasL2 = 0 !== i, n.l1 = getScalar(r), n.l2 = getScalar(i), n;
+  }return __extends(t, e), t.prototype.apply = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      var n = (0, _tfjsCore.zeros)([1]);return t.hasL1 && (n = (0, _tfjsCore.add)(n, (0, _tfjsCore.sum)(scalarTimesArray(t.l1, (0, _tfjsCore.abs)(e))))), t.hasL2 && (n = (0, _tfjsCore.add)(n, (0, _tfjsCore.sum)(scalarTimesArray(t.l2, square(e))))), n.asScalar();
+    });
+  }, t.prototype.getConfig = function () {
+    return { l1: this.l1.dataSync()[0], l2: this.l2.dataSync()[0] };
+  }, t.fromConfig = function (e, t) {
+    return new e({ l1: t.l1, l2: t.l2 });
+  }, t.className = "L1L2", t = __decorate([(0, _tfjsCore.doc)({ heading: "Regularizers", namespace: "regularizers" })], t);
+}(Regularizer);function l1(e) {
+  return new L1L2({ l1: null != e ? e.l1 : null, l2: 0 });
+}function l2(e) {
+  return new L1L2({ l2: null != e ? e.l2 : null, l1: 0 });
+}_tfjsCore.serialization.SerializationMap.register(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP = { l1l2: "L1L2" };function serializeRegularizer(e) {
+  return serializeKerasObject(e);
+}function deserializeRegularizer(e, t) {
+  return void 0 === t && (t = {}), deserializeKerasObject(e, _tfjsCore.serialization.SerializationMap.getMap().classNameMap, t, "regularizer");
+}function getRegularizer(e) {
+  return null == e ? null : "string" == typeof e ? deserializeRegularizer({ className: e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP ? REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e] : e, config: {} }) : e instanceof Regularizer ? e : deserializeRegularizer(e);
+}function normalizeArray(e, t, n) {
+  if ("number" == typeof e) return pyListRepeat(e, t);if (e.length !== t) throw new ValueError("The " + n + " argument must be a tuple of " + t + " integers. Received: " + e.length + " elements.");for (var r = 0; r < t; ++r) {
+    var i = e[r];if (!isInteger(i)) throw new ValueError("The " + n + " argument must be a tuple of " + t + " integers. Received: " + JSON.stringify(e) + " including a non-integer number " + i);
+  }return e;
+}function convOutputLength(e, t, n, r, i) {
+  return void 0 === i && (i = 1), null == e ? e : (a = "same" === n ? e : e - (t + (t - 1) * (i - 1)) + 1, Math.floor((a + r - 1) / r));var a;
+}function deconvLength(e, t, n, r) {
+  if (null == e) return null;if ("valid" === r) e = e * t + max$1([n - t, 0]);else {
+    if ("same" !== r) throw new ValueError("Unsupport padding mode: " + r + ".");e *= t;
+  }return e;
+}function preprocessConv2DInput(e, t) {
+  return (0, _tfjsCore.tidy)(function () {
+    return checkDataFormat(t), "channelsFirst" === t ? (0, _tfjsCore.transpose)(e, [0, 2, 3, 1]) : e;
+  });
+}function conv1dWithBias(e, t, n, r, i, a, o) {
+  return void 0 === r && (r = 1), void 0 === i && (i = "valid"), void 0 === o && (o = 1), (0, _tfjsCore.tidy)(function () {
+    if (null == a && (a = imageDataFormat()), checkDataFormat(a), 3 !== e.shape.length) throw new ValueError("The input of a conv1dWithBias operation should be 3, but is " + e.shape.length + " instead.");if (3 !== t.shape.length) throw new ValueError("The kernel for a conv1dWithBias operation should be 3, but is " + t.shape.length + " instead");if (null != n && 1 !== n.shape.length) throw new ValueError("The bias for a conv1dWithBias operation should be 1, but is " + t.shape.length + " instead");if ("channelsFirst" === a && (e = (0, _tfjsCore.transpose)(e, [0, 2, 1])), "causal" === i) throw new NotImplementedError("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s = (0, _tfjsCore.conv1d)(e, t, r, "same" === i ? "same" : "valid", "NWC", o);return null != n && (s = biasAdd(s, n)), s;
+  });
+}function conv2dWithBias(e, t, n, r, i, a, o) {
+  return void 0 === r && (r = [1, 1]), void 0 === i && (i = "valid"), (0, _tfjsCore.tidy)(function () {
+    if (null == a && (a = imageDataFormat()), checkDataFormat(a), 3 !== e.rank && 4 !== e.rank) throw new ValueError("conv2dWithBias expects input to be of rank 3 or 4, but received " + e.rank + ".");if (3 !== t.rank && 4 !== t.rank) throw new ValueError("conv2dWithBias expects kernel to be of rank 3 or 4, but received " + e.rank + ".");var s = preprocessConv2DInput(e, a);if ("causal" === i) throw new NotImplementedError("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s = (0, _tfjsCore.conv2d)(s, t, r, "same" === i ? "same" : "valid", "NHWC", o), null != n && (s = biasAdd(s, n)), "channelsFirst" === a && (s = (0, _tfjsCore.transpose)(s, [0, 3, 1, 2])), s;
+  });
+}var BaseConv = function (e) {
+  function t(n, r) {
+    var i = e.call(this, r) || this;if (i.bias = null, i.DEFAULT_KERNEL_INITIALIZER = "glorotNormal", i.DEFAULT_BIAS_INITIALIZER = "zeros", t.verifyConfig(r), i.rank = n, 1 !== i.rank && 2 !== i.rank) throw new NotImplementedError("Convolution layer for rank other than 1 or 2 (" + i.rank + ") is not implemented yet.");if (i.kernelSize = normalizeArray(r.kernelSize, n, "kernelSize"), i.strides = normalizeArray(null == r.strides ? 1 : r.strides, n, "strides"), i.padding = null == r.padding ? "valid" : r.padding, checkPaddingMode(i.padding), i.dataFormat = null == r.dataFormat ? "channelsLast" : r.dataFormat, checkDataFormat(i.dataFormat), i.activation = getActivation(r.activation), i.useBias = null == r.useBias || r.useBias, i.biasInitializer = getInitializer(r.biasInitializer || i.DEFAULT_BIAS_INITIALIZER), i.biasConstraint = getConstraint(r.biasConstraint), i.biasRegularizer = getRegularizer(r.biasRegularizer), i.activityRegularizer = getRegularizer(r.activityRegularizer), i.dilationRate = null == r.dilationRate ? 1 : r.dilationRate, 1 === i.rank && Array.isArray(i.dilationRate) && 1 !== i.dilationRate.length) throw new ValueError("dilationRate must be a number or an array of a single number for 1D convolution, but received " + JSON.stringify(i.dilationRate));if (2 === i.rank) if ("number" == typeof i.dilationRate) i.dilationRate = [i.dilationRate, i.dilationRate];else if (2 !== i.dilationRate.length) throw new ValueError("dilationRate must be a number or array of two numbers for 2D convolution, but received " + JSON.stringify(i.dilationRate));return i;
+  }return __extends(t, e), t.verifyConfig = function (e) {
+    if (assert("kernelSize" in e, "required key 'kernelSize' not in config"), "number" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, "number", 1, 2)) throw new ValueError("BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received " + JSON.stringify(e.kernelSize) + ".");
+  }, t;
+}(Layer),
+    Conv = function (e) {
+  function t(n, r) {
+    var i = e.call(this, n, r) || this;return i.kernel = null, t.verifyConfig(r), i.filters = r.filters, i.kernelInitializer = getInitializer(r.kernelInitializer || i.DEFAULT_KERNEL_INITIALIZER), i.kernelConstraint = getConstraint(r.kernelConstraint), i.kernelRegularizer = getRegularizer(r.kernelRegularizer), i;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    e = getExactlyOneShape(e);var t = "channelsFirst" === this.dataFormat ? 1 : e.length - 1;if (null == e[t]) throw new ValueError("The channel dimension of the input should be defined. Found " + e[t]);var n,
+        r = e[t],
+        i = this.kernelSize.concat([r, this.filters]);this.kernel = this.addWeight("kernel", i, null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight("bias", [this.filters], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint)), this.inputSpec = [{ ndim: this.rank + 2, axes: (n = {}, n[t] = r, n) }], this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t;e = getExactlyOneTensor(e);var r = null == n.bias ? null : n.bias.read();if (1 === n.rank) t = conv1dWithBias(e, n.kernel.read(), r, n.strides[0], n.padding, n.dataFormat, n.dilationRate);else if (2 === n.rank) t = conv2dWithBias(e, n.kernel.read(), r, n.strides, n.padding, n.dataFormat, n.dilationRate);else if (3 === n.rank) throw new NotImplementedError("3D convolution is not implemented yet.");return null != n.activation && (t = n.activation.apply(t)), t;
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    e = getExactlyOneShape(e);for (var t = [], n = "channelsLast" === this.dataFormat ? e.slice(1, e.length - 1) : e.slice(2), r = 0; r < n.length; ++r) {
+      var i = convOutputLength(n[r], this.kernelSize[r], this.padding, this.strides[r], "number" == typeof this.dilationRate ? this.dilationRate : this.dilationRate[r]);t.push(i);
+    }var a = [e[0]];return "channelsLast" === this.dataFormat ? (a = a.concat(t)).push(this.filters) : (a.push(this.filters), a = a.concat(t)), a;
+  }, t.prototype.getConfig = function () {
+    var t = { rank: this.rank, filters: this.filters, kernelSize: this.kernelSize, strides: this.strides, padding: this.padding, dataFormat: this.dataFormat, dilationRate: this.dilationRate, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), biasConstraint: serializeConstraint(this.biasConstraint) },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.verifyConfig = function (e) {
+    if (!("filters" in e) || "number" != typeof e.filters || e.filters < 1) throw new ValueError("Convolution layer expected config.filters to be a 'number' > 0 but got " + JSON.stringify(e.filters));
+  }, t;
+}(BaseConv),
+    Conv2D = function (e) {
+  function t(n) {
+    var r = e.call(this, 2, n) || this;return t.verifyConfig(n), r;
+  }return __extends(t, e), t.prototype.getConfig = function () {
+    var t = e.prototype.getConfig.call(this);return delete t.rank, t;
+  }, t.verifyConfig = function (e) {
+    if ("number" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, "number", 1, 2)) throw new ValueError("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received " + JSON.stringify(e.kernelSize) + ".");
+  }, t.className = "Conv2D", t;
+}(Conv);_tfjsCore.serialization.SerializationMap.register(Conv2D);var Conv2DTranspose = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;if (n.inputSpec = [new InputSpec({ ndim: 4 })], "same" !== n.padding && "valid" !== n.padding) throw new ValueError("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode " + n.padding);return n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    if (4 !== (e = getExactlyOneShape(e)).length) throw new ValueError("Input should have rank 4; Received input shape: " + JSON.stringify(e));var t = "channelsFirst" === this.dataFormat ? 1 : e.length - 1;if (null == e[t]) throw new ValueError("The channel dimension of the inputs should be defined. Found `None`.");var n,
+        r = e[t],
+        i = this.kernelSize.concat([this.filters, r]);this.kernel = this.addWeight("kernel", i, "float32", this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight("bias", [this.filters], "float32", this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint)), this.inputSpec = [new InputSpec({ ndim: 4, axes: (n = {}, n[t] = r, n) })], this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e);if (4 !== t.shape.length) throw new ValueError("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-" + t.shape.length);var r,
+          i,
+          a = t.shape,
+          o = a[0];"channelsFirst" === n.dataFormat ? (r = 2, i = 3) : (r = 1, i = 2);var s = a[r],
+          l = a[i],
+          u = n.kernelSize[0],
+          c = n.kernelSize[1],
+          p = n.strides[0],
+          h = n.strides[1],
+          d = [o, deconvLength(s, p, u, n.padding), deconvLength(l, h, c, n.padding), n.filters];"channelsLast" !== n.dataFormat && (t = (0, _tfjsCore.transpose)(t, [0, 2, 3, 1]));var g = (0, _tfjsCore.conv2dTranspose)(t, n.kernel.read(), d, n.strides, n.padding);return "channelsLast" !== n.dataFormat && (g = (0, _tfjsCore.transpose)(g, [0, 3, 1, 2])), null != n.bias && (g = biasAdd(g, n.bias.read(), n.dataFormat)), null != n.activation && (g = n.activation.apply(g)), g;
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    var t,
+        n,
+        r,
+        i = (e = getExactlyOneShape(e)).slice();"channelsFirst" === this.dataFormat ? (t = 1, n = 2, r = 3) : (t = 3, n = 1, r = 2);var a = this.kernelSize[0],
+        o = this.kernelSize[1],
+        s = this.strides[0],
+        l = this.strides[1];return i[t] = this.filters, i[n] = deconvLength(i[n], s, a, this.padding), i[r] = deconvLength(i[r], l, o, this.padding), i;
+  }, t.prototype.getConfig = function () {
+    var t = e.prototype.getConfig.call(this);return delete t.dilationRate, t;
+  }, t.className = "Conv2DTranspose", t;
+}(Conv2D);_tfjsCore.serialization.SerializationMap.register(Conv2DTranspose);var SeparableConv = function (e) {
+  function t(t, n) {
+    var r = e.call(this, t, n) || this;if (r.DEFAULT_DEPTHWISE_INITIALIZER = "glorotUniform", r.DEFAULT_POINTWISE_INITIALIZER = "glorotUniform", r.depthwiseKernel = null, r.pointwiseKernel = null, null == n.filters) throw new ValueError("The `filters` configuration field is required by SeparableConv, but is unspecified.");if (null != n.kernelInitializer || null != n.kernelRegularizer || null != n.kernelConstraint) throw new ValueError("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if (null != n.padding && "same" !== n.padding && "valid" !== n.padding) throw new ValueError("SeparableConv" + r.rank + "D supports only padding modes: 'same' and 'valid', but received " + JSON.stringify(n.padding));return r.depthMultiplier = null == n.depthMultiplier ? 1 : n.depthMultiplier, r.depthwiseInitializer = getInitializer(n.depthwiseInitializer || r.DEFAULT_DEPTHWISE_INITIALIZER), r.depthwiseRegularizer = getRegularizer(n.depthwiseRegularizer), r.depthwiseConstraint = getConstraint(n.depthwiseConstraint), r.pointwiseInitializer = getInitializer(n.depthwiseInitializer || r.DEFAULT_POINTWISE_INITIALIZER), r.pointwiseRegularizer = getRegularizer(n.pointwiseRegularizer), r.pointwiseConstraint = getConstraint(n.pointwiseConstraint), r;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    if ((e = getExactlyOneShape(e)).length < this.rank + 2) throw new ValueError("Inputs to SeparableConv" + this.rank + "D should have rank " + (this.rank + 2) + ", but received input shape: " + JSON.stringify(e));var t = "channelsFirst" === this.dataFormat ? 1 : e.length - 1;if (null == e[t] || e[t] < 0) throw new ValueError("The channel dimension of the inputs should be defined, but found " + JSON.stringify(e[t]));for (var n = e[t], r = this.kernelSize.concat([n, this.depthMultiplier]), i = [], a = 0; a < this.rank; ++a) i.push(1);i.push(n * this.depthMultiplier, this.filters);var o;this.depthwiseKernel = this.addWeight("depthwise_kernel", r, "float32", this.depthwiseInitializer, this.depthwiseRegularizer, !0, this.depthwiseConstraint), this.pointwiseKernel = this.addWeight("pointwise_kernel", i, "float32", this.pointwiseInitializer, this.pointwiseRegularizer, !0, this.pointwiseConstraint), this.useBias ? this.bias = this.addWeight("bias", [this.filters], "float32", this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.inputSpec = [new InputSpec({ ndim: this.rank + 2, axes: (o = {}, o[t] = n, o) })], this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t;if (e = getExactlyOneTensor(e), 1 === n.rank) throw new NotImplementedError("1D separable convolution is not implemented yet.");return 2 === n.rank && ("channelsFirst" === n.dataFormat && (e = (0, _tfjsCore.transpose)(e, [0, 2, 3, 1])), t = (0, _tfjsCore.separableConv2d)(e, n.depthwiseKernel.read(), n.pointwiseKernel.read(), n.strides, n.padding, n.dilationRate, "NHWC")), n.useBias && (t = biasAdd(t, n.bias.read(), n.dataFormat)), null != n.activation && (t = n.activation.apply(t)), "channelsFirst" === n.dataFormat && (t = (0, _tfjsCore.transpose)(t, [0, 3, 1, 2])), t;
+    });
+  }, t.prototype.getConfig = function () {
+    var t = e.prototype.getConfig.call(this);return delete t.rank, delete t.kernelInitializer, delete t.kernelRegularizer, delete t.kernelConstraint, t.depthwiseInitializer = serializeInitializer(this.depthwiseInitializer), t.pointwiseInitializer = serializeInitializer(this.pointwiseInitializer), t.depthwiseRegularizer = serializeRegularizer(this.depthwiseRegularizer), t.pointwiseRegularizer = serializeRegularizer(this.pointwiseRegularizer), t.depthwiseConstraint = serializeConstraint(this.depthwiseConstraint), t.pointwiseConstraint = serializeConstraint(this.pointwiseConstraint), t;
+  }, t.className = "SeparableConv", t;
+}(Conv),
+    SeparableConv2D = function (e) {
+  function t(t) {
+    return e.call(this, 2, t) || this;
+  }return __extends(t, e), t.className = "SeparableConv2D", t;
+}(SeparableConv);_tfjsCore.serialization.SerializationMap.register(SeparableConv2D);var Conv1D = function (e) {
+  function t(n) {
+    var r = e.call(this, 1, n) || this;return t.verifyConfig(n), r.inputSpec = [{ ndim: 3 }], r;
+  }return __extends(t, e), t.prototype.getConfig = function () {
+    var t = e.prototype.getConfig.call(this);return delete t.rank, delete t.dataFormat, t;
+  }, t.verifyConfig = function (e) {
+    if ("number" != typeof e.kernelSize && !checkArrayTypeAndLength(e.kernelSize, "number", 1, 1)) throw new ValueError("Conv1D expects config.kernelSize to be number or number[] with length 1, but received " + JSON.stringify(e.kernelSize) + ".");
+  }, t.className = "Conv1D", t;
+}(Conv);_tfjsCore.serialization.SerializationMap.register(Conv1D);var Cropping2D = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return "number" == typeof t.cropping ? n.cropping = [[t.cropping, t.cropping], [t.cropping, t.cropping]] : "number" == typeof t.cropping[0] ? n.cropping = [[t.cropping[0], t.cropping[0]], [t.cropping[1], t.cropping[1]]] : n.cropping = t.cropping, n.dataFormat = void 0 === t.dataFormat ? "channelsLast" : t.dataFormat, n.inputSpec = [{ ndim: 4 }], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    return "channelsFirst" === this.dataFormat ? [e[0], e[1], e[2] - this.cropping[0][0] - this.cropping[0][1], e[2] - this.cropping[1][0] - this.cropping[1][1]] : [e[0], e[1] - this.cropping[0][0] - this.cropping[0][1], e[2] - this.cropping[1][0] - this.cropping[1][1], e[3]];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return e = getExactlyOneTensor(e), "channelsLast" === n.dataFormat ? sliceAlongAxis(sliceAlongAxis(e, n.cropping[0][0], e.shape[1] - n.cropping[0][0] - n.cropping[0][1], 2), n.cropping[1][0], e.shape[2] - n.cropping[1][1] - n.cropping[1][0], 3) : sliceAlongAxis(sliceAlongAxis(e, n.cropping[0][0], e.shape[2] - n.cropping[0][0] - n.cropping[0][1], 3), n.cropping[1][0], e.shape[3] - n.cropping[1][1] - n.cropping[1][0], 4);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { cropping: this.cropping, dataFormat: this.dataFormat },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Cropping2D", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Cropping2D);var UpSampling2D = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.DEFAULT_SIZE = [2, 2], n.inputSpec = [{ ndim: 4 }], n.size = void 0 === t.size ? n.DEFAULT_SIZE : t.size, n.dataFormat = void 0 === t.dataFormat ? "channelsLast" : t.dataFormat, n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    if ("channelsFirst" === this.dataFormat) {
+      var t = this.size[0] * e[2],
+          n = this.size[1] * e[3];return [e[0], e[1], t, n];
+    }t = this.size[0] * e[1], n = this.size[1] * e[2];return [e[0], t, n, e[3]];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e),
+          r = t.shape;if ("channelsFirst" === n.dataFormat) {
+        t = (0, _tfjsCore.transpose)(t, [0, 2, 3, 1]);var i = n.size[0] * r[2],
+            a = n.size[1] * r[3],
+            o = t.resizeNearestNeighbor([i, a]);return (0, _tfjsCore.transpose)(o, [0, 3, 1, 2]);
+      }i = n.size[0] * r[1], a = n.size[1] * r[2];return t.resizeNearestNeighbor([i, a]);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { size: this.size, dataFormat: this.dataFormat },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "UpSampling2D", t;
+}(Layer);function depthwiseConv2d$1(e, t, n, r, i, a) {
+  return void 0 === n && (n = [1, 1]), void 0 === r && (r = "valid"), (0, _tfjsCore.tidy)(function () {
+    null == i && (i = imageDataFormat()), checkDataFormat(i);var o = preprocessConv2DInput(e, i);if (4 !== e.rank) throw new ValueError("Input for depthwiseConv2d is required to be 4-D, but is instead " + e.rank + "-D");if (4 !== t.rank) throw new ValueError("depthwiseKernel is required to be 4-D, but is instead " + t.rank + "-D");return o = (0, _tfjsCore.depthwiseConv2d)(o, t, n, "same" === r ? "same" : "valid", "NHWC", a), "channelsFirst" === i && (o = (0, _tfjsCore.transpose)(o, [0, 3, 1, 2])), o;
+  });
+}_tfjsCore.serialization.SerializationMap.register(UpSampling2D);var DepthwiseConv2D = function (e) {
+  function t(t) {
+    var n = e.call(this, 2, t) || this;return n.depthwiseKernel = null, n.depthMultiplier = null == t.depthMultiplier ? 1 : t.depthMultiplier, n.depthwiseInitializer = getInitializer(t.depthwiseInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.depthwiseConstraint = getConstraint(t.depthwiseConstraint), n.depthwiseRegularizer = getRegularizer(t.depthwiseRegularizer), n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    if ((e = getExactlyOneShape(e)).length < 4) throw new ValueError("Inputs to DepthwiseConv2D should have rank 4. Received input shape: " + JSON.stringify(e) + ".");var t = "channelsFirst" === this.dataFormat ? 1 : 3;if (null == e[t] || e[t] < 0) throw new ValueError("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (" + e[t] + ").");var n = e[t],
+        r = [this.kernelSize[0], this.kernelSize[1], n, this.depthMultiplier];this.depthwiseKernel = this.addWeight("depthwise_kernel", r, null, this.depthwiseInitializer, this.depthwiseRegularizer, !0, this.depthwiseConstraint), this.useBias ? this.bias = this.addWeight("bias", [n * this.depthMultiplier], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t = depthwiseConv2d$1(e = getExactlyOneTensor(e), n.depthwiseKernel.read(), n.strides, n.padding, n.dataFormat, null);return n.useBias && (t = biasAdd(t, n.bias.read(), n.dataFormat)), null != n.activation && (t = n.activation.apply(t)), t;
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    e = getExactlyOneShape(e);var t = "channelsFirst" === this.dataFormat ? e[2] : e[1],
+        n = "channelsFirst" === this.dataFormat ? e[3] : e[2],
+        r = "channelsFirst" === this.dataFormat ? e[1] * this.depthMultiplier : e[3] * this.depthMultiplier,
+        i = convOutputLength(t, this.kernelSize[0], this.padding, this.strides[0]),
+        a = convOutputLength(n, this.kernelSize[1], this.padding, this.strides[1]);return "channelsFirst" === this.dataFormat ? [e[0], r, i, a] : [e[0], i, a, r];
+  }, t.className = "DepthwiseConv2D", t;
+}(BaseConv);_tfjsCore.serialization.SerializationMap.register(DepthwiseConv2D);var Dropout = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;if (n.rate = Math.max(Math.min(t.rate, 1), 0), n.rateScalar = getScalar(n.rate), n.noiseShape = t.noiseShape, n.seed = t.seed, null != n.seed) throw new NotImplementedError("Non-default seed is not implemented in Dropout layer yet: " + n.seed);return n.supportsMasking = !0, n;
+  }return __extends(t, e), t.prototype.getNoiseShape = function (e) {
+    if (null == this.noiseShape) return this.noiseShape;for (var t = e.shape, n = [], r = 0; r < this.noiseShape.length; ++r) n.push(null == this.noiseShape[r] ? t[r] : this.noiseShape[r]);return n;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);if (null != n.noiseShape && !_tfjsCore.util.arraysEqual(r.shape, n.noiseShape)) throw new NotImplementedError("Non-default noise shape is not implemented in Dropout layer yet: " + JSON.stringify(n.noiseShape));if (0 < n.rate && n.rate < 1) {
+        var i = null != t.training && t.training,
+            a = n.getNoiseShape(r);return inTrainPhase(function () {
+          return dropout(r, n.rateScalar, a, n.seed);
+        }, function () {
+          return r;
+        }, i);
+      }return e;
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { rate: this.rate, noiseShape: this.noiseShape, seed: this.seed },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Dropout", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Dropout);var Dense = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;if (n.activation = null, n.useBias = !0, n.kernel = null, n.bias = null, n.DEFAULT_KERNEL_INITIALIZER = "glorotNormal", n.DEFAULT_BIAS_INITIALIZER = "zeros", null == t.batchInputShape && null == t.inputShape && null != t.inputDim) {
+      var r = null;null != t.batchSize && (r = t.batchSize), n.batchInputShape = [r, t.inputDim];
+    }return n.units = t.units, n.activation = getActivation(t.activation), null != t.useBias && (n.useBias = t.useBias), n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelConstraint = getConstraint(t.kernelConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.activityRegularizer = getRegularizer(t.activityRegularizer), n.inputSpec = [{ minNDim: 2 }], n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    var t,
+        n = (e = getExactlyOneShape(e))[e.length - 1];null == this.kernel && (this.kernel = this.addWeight("kernel", [n, this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.useBias && (this.bias = this.addWeight("bias", [this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint))), this.inputSpec = [{ minNDim: 2, axes: (t = {}, t[-1] = n, t) }], this.built = !0;
+  }, t.prototype.computeOutputShape = function (e) {
+    var t = (e = getExactlyOneShape(e)).slice();return t[t.length - 1] = this.units, t;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t);var r = dot(getExactlyOneTensor(e), n.kernel.read());return null != n.bias && (r = biasAdd(r, n.bias.read())), null != n.activation && (r = n.activation.apply(r)), r;
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), biasConstraint: serializeConstraint(this.biasConstraint) },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Dense", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Dense);var Flatten = function (e) {
+  function t(t) {
+    var n = e.call(this, t || {}) || this;return n.inputSpec = [{ minNDim: 3 }], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    for (var t = 0, n = (e = getExactlyOneShape(e)).slice(1); t < n.length; t++) {
+      if (null == n[t]) throw new ValueError('The shape of the input to "Flatten" is not fully defined (got ' + e.slice(1) + '). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');
+    }return [e[0], arrayProd(e, 1)];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return n.invokeCallHook(e, t), batchFlatten(getExactlyOneTensor(e));
+    });
+  }, t.className = "Flatten", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Flatten);var Activation$1 = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.supportsMasking = !0, n.activation = getActivation(t.activation), n;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);return n.activation.apply(r);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { activation: serializeActivation(this.activation) },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Activation", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Activation$1);var RepeatVector = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.n = t.n, n.inputSpec = [{ ndim: 2 }], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    return [e[0], this.n, e[1]];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return repeat(e = getExactlyOneTensor(e), n.n);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { n: this.n },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "RepeatVector", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(RepeatVector);var Reshape = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;n.targetShape = t.targetShape;for (var r = 0; r < n.targetShape.length; ++r) n.isUnknown(n.targetShape[r]) && (n.targetShape[r] = null);return n;
+  }return __extends(t, e), t.prototype.isUnknown = function (e) {
+    return e < 0 || null == e;
+  }, t.prototype.fixUnknownDimension = function (e, t) {
+    for (var n = "Total size of new array must be unchanged.", r = t.slice(), i = 1, a = null, o = 0; o < r.length; ++o) {
+      var s = r[o];if (this.isUnknown(s)) {
+        if (null !== a) throw new ValueError("Can only specifiy one unknown dimension.");a = o;
+      } else i *= s;
+    }var l = arrayProd(e);if (null !== a) {
+      if (0 === i || l % i != 0) throw new ValueError(n);r[a] = l / i;
+    } else if (l !== i) throw new ValueError(n);return r;
+  }, t.prototype.computeOutputShape = function (e) {
+    for (var t = !1, n = 0; n < e.length; ++n) if (this.isUnknown(e[n])) {
+      t = !0;break;
+    }return t ? e.slice(0, 1).concat(this.targetShape) : e.slice(0, 1).concat(this.fixUnknownDimension(e.slice(1), this.targetShape));
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e),
+          i = shape(r),
+          a = i.slice(0, 1).concat(n.fixUnknownDimension(i.slice(1), n.targetShape));return r.reshape(a);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { targetShape: this.targetShape },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Reshape", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Reshape);var Embedding = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;if (n.embeddings = null, n.DEFAULT_EMBEDDINGS_INITIALIZER = "randomUniform", null == t.batchInputShape && null == t.inputShape) {
+      var r = null;null != t.batchSize && (r = t.batchSize), null == t.inputLength ? n.batchInputShape = [r, null] : n.batchInputShape = [r].concat(toList(t.inputLength));
+    }return n.inputDim = t.inputDim, n.outputDim = t.outputDim, n.embeddingsInitializer = getInitializer(t.embeddingsInitializer || n.DEFAULT_EMBEDDINGS_INITIALIZER), n.embeddingsRegularizer = getRegularizer(t.embeddingsRegularizer), n.activityRegularizer = getRegularizer(t.activityRegularizer), n.embeddingsConstraint = getConstraint(t.embeddingsConstraint), n.maskZero = t.maskZero, n.inputLength = t.inputLength, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    this.embeddings = this.addWeight("embeddings", [this.inputDim, this.outputDim], this.dtype, this.embeddingsInitializer, this.embeddingsRegularizer, !0, this.embeddingsConstraint), this.built = !0;
+  }, t.prototype.computeMask = function (e, t) {
+    throw new NotImplementedError("computeMask has not been implemented for Embedding yet");
+  }, t.prototype.computeOutputShape = function (e) {
+    if (e = getExactlyOneShape(e), null == this.inputLength) return e.concat([this.outputDim]);var t = toList(this.inputLength);if (t.length !== e.length - 1) throw new ValueError('"inputLength" is ' + this.inputLength + ", but received input shape has shape " + e);for (var n = 0, r = 0; r < t.length; ++r) {
+      var i = t[r],
+          a = e[r + 1];if (null != i && null != a && i !== a) throw new ValueError('"inputLength" is ' + this.inputLength + ", but received input shape has shape " + e);null == i && (t[n] = a), n++;
+    }return [e[0]].concat(t, [this.outputDim]);
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t);var r = getExactlyOneTensor(e);return "int32" !== dtype(r) && (r = cast(r, "int32")), gather$1(n.embeddings.read(), r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)));
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { inputDim: this.inputDim, outputDim: this.outputDim, embeddingsInitializer: serializeInitializer(this.embeddingsInitializer), embeddingsRegularizer: serializeRegularizer(this.embeddingsRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), embeddingsConstraint: serializeConstraint(this.embeddingsConstraint), maskZero: this.maskZero, inputLength: this.inputLength },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Embedding", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(Embedding);var Merge = function (e) {
+  function t(t) {
+    var n = e.call(this, t || {}) || this;return n.supportsMasking = !0, n;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    throw new NotImplementedError();
+  }, t.prototype.computeElementwiseOpOutputShape = function (e, t) {
+    if (null == e || null == t) return null;if (e.length < t.length) return this.computeElementwiseOpOutputShape(t, e);if (0 === t.length) return e;for (var n = e.slice(0, e.length - t.length), r = 0; r < t.length; ++r) {
+      var i = e[e.length - t.length + r],
+          a = t[r];if (null == i || null == a || i < 0 || a < 0) n.push(null);else if (1 === i) n.push(a);else if (1 === a) n.push(i);else {
+        if (i !== a) throw new ValueError("Operands could not be broadcast together with shapes " + JSON.stringify(e) + " " + JSON.stringify(t));n.push(i);
+      }
+    }return n;
+  }, t.prototype.build = function (e) {
+    if (Array.isArray(e) && !Array.isArray(e[0]) && (e = [getExactlyOneShape(e)]), (e = e).length < 2) throw new ValueError("A merge layer should be called on an Array of at least 2 inputs. Got " + e.length + " input(s).");for (var t = [], n = 0, r = e; n < r.length; n++) {
+      null != (o = r[n]) && null !== o[0] && t.push(o[0]);
+    }if ((t = unique(t)).length > 1) throw new ValueError("Can not merge tensors with different batch sizes. Got tensors with shapes: " + JSON.stringify(e) + ".");for (var i = null == e[0] ? null : e[0].slice(1), a = 1; a < e.length; ++a) {
+      var o = null == e[a] ? null : e[a].slice(1);i = this.computeElementwiseOpOutputShape(i, o);
+    }var s = e.map(function (e) {
+      return e.length;
+    });-1 === e.indexOf(null) && 1 === unique(s).length ? this.reshapeRequired = !1 : this.reshapeRequired = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (e = e, n.reshapeRequired) {
+        var t = [],
+            r = e.map(function (e) {
+          return e.rank;
+        });if (-1 === r.indexOf(null)) {
+          for (var i = max$1(r), a = 0, o = e; a < o.length; a++) {
+            for (var s = (h = o[a]).rank, l = 0; l < i - s; ++l) h = expandDims(h, 1);t.push(h);
+          }return n.mergeFunction(t);
+        }for (var u = !1, c = 0, p = e; c < p.length; c++) {
+          var h;if (null == (s = (h = p[c]).rank)) {
+            var d = shape(h),
+                g = d[0],
+                f = d.slice(1).concat([g]),
+                m = h.reshape([g].concat(arrayProd(d.slice(1))));m = (m = (0, _tfjsCore.transpose)(m, [1, 0])).reshape(f), t.push(m), u = !0;
+          } else if (s > 1) {
+            var y = range(1, s).concat([0]);t.push((0, _tfjsCore.transpose)(h, y)), u = !0;
+          } else t.push(h);
+        }var v = n.mergeFunction(t),
+            b = v.rank;if (u) if (null == b) {
+          var z = shape(v);f = [g = z[z.length - 1]].concat(z.slice(0, z.length - 1));v = (0, _tfjsCore.transpose)(v.reshape([-1, g]), [1, 0]).reshape(f);
+        } else if (b > 1) {
+          y = [b - 1].concat(range(0, b - 1));v = (0, _tfjsCore.transpose)(v, y);
+        }return v;
+      }return n.mergeFunction(e);
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    var t;t = null == (e = e)[0] ? null : e[0].slice(1);for (var n = 1; n < e.length; ++n) {
+      var r = null == e[n] ? null : e[n].slice(1);t = this.computeElementwiseOpOutputShape(t, r);
+    }for (var i = [], a = 0, o = e; a < o.length; a++) {
+      null != (r = o[a]) && null !== r[0] && i.push(r[0]);
+    }return t = 1 === (i = unique(i)).length ? i.concat(t) : [null].concat(t);
+  }, t;
+}(Layer),
+    Add = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      for (var t = (0, _tfjsCore.zeros)(e[0].shape), n = 0, r = e; n < r.length; n++) {
+        var i = r[n];t = (0, _tfjsCore.add)(t, i);
+      }return t;
+    });
+  }, t.className = "Add", t;
+}(Merge);_tfjsCore.serialization.SerializationMap.register(Add);var Multiply = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      for (var t = (0, _tfjsCore.ones)(e[0].shape), n = 0, r = e; n < r.length; n++) {
+        var i = r[n];t = (0, _tfjsCore.mul)(t, i);
+      }return t;
+    });
+  }, t.className = "Multiply", t;
+}(Merge);_tfjsCore.serialization.SerializationMap.register(Multiply);var Average = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      for (var t = (0, _tfjsCore.zeros)(e[0].shape), n = 0, r = e; n < r.length; n++) {
+        var i = r[n];t = (0, _tfjsCore.add)(t, i);
+      }return scalarTimesArray(getScalar(1 / e.length), t);
+    });
+  }, t.className = "Average", t;
+}(Merge);_tfjsCore.serialization.SerializationMap.register(Average);var Maximum = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      for (var t = e[0], n = 1; n < e.length; ++n) t = (0, _tfjsCore.maximum)(t, e[n]);return t;
+    });
+  }, t.className = "Maximum", t;
+}(Merge);_tfjsCore.serialization.SerializationMap.register(Maximum);var Minimum = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.mergeFunction = function (e) {
+    return (0, _tfjsCore.tidy)(function () {
+      for (var t = e[0], n = 1; n < e.length; ++n) t = (0, _tfjsCore.minimum)(t, e[n]);return t;
+    });
+  }, t.className = "Minimum", t;
+}(Merge);_tfjsCore.serialization.SerializationMap.register(Minimum);var Concatenate = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.DEFAULT_AXIS = -1, null == t && (t = {}), n.axis = null == t.axis ? n.DEFAULT_AXIS : t.axis, n.supportsMasking = !0, n.reshapeRequired = !1, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    if (!Array.isArray(e) || !Array.isArray(e[0]) || 1 === e.length) throw new ValueError("A `Concatenate` layer should be called on a list of at least 2 inputs");for (var t = !0, n = 0, r = e = e; n < r.length; n++) {
+      if (null != (c = r[n])) {
+        t = !1;break;
+      }
+    }if (!t) {
+      for (var i = [], a = 0; a < e.length; ++a) {
+        var o = e[a].slice();o.splice(this.axis, 1);for (var s = !1, l = 0, u = i; l < u.length; l++) {
+          var c = u[l];if (_tfjsCore.util.arraysEqual(c, o)) {
+            s = !0;break;
+          }
+        }s || i.push(o);
+      }if (i.length > 1) throw new ValueError("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: " + JSON.stringify(e));
+    }
+  }, t.prototype.mergeFunction = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      return concatenate(e, t.axis);
+    });
+  }, t.prototype.computeOutputShape = function (e) {
+    if (!Array.isArray(e) || !Array.isArray(e[0])) throw new ValueError("A `Concatenate` layer should be called on a list of inputs.");for (var t = e, n = t[0].slice(), r = this.axis < 0 ? n.length + this.axis : this.axis, i = 0, a = t.slice(1); i < a.length; i++) {
+      var o = a[i];if (null == n[r] || null == o[r]) {
+        n[r] = null;break;
+      }n[r] += o[r];
+    }return n;
+  }, t.prototype.getConfig = function () {
+    var t = { axis: this.axis },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "Concatenate", t;
+}(Merge);function batchNormalization(e, t, n, r, i, a) {
+  var o;if (void 0 === a && (a = .001), 2 === e.rank) o = (0, _tfjsCore.batchNormalization2d)(e, t, n, a, i, r);else if (3 === e.rank) o = (0, _tfjsCore.batchNormalization3d)(e, t, n, a, i, r);else {
+    if (4 !== e.rank) throw new NotImplementedError("batchNormalization is not implememnted for array of rank " + e.rank + " yet");o = (0, _tfjsCore.batchNormalization4d)(e, t, n, a, i, r);
+  }return o;
+}function regularNormalizeBatchInTraining(e, t, n, r, i) {
+  return void 0 === i && (i = .001), (0, _tfjsCore.tidy)(function () {
+    var a = (0, _tfjsCore.moments)(e, r),
+        o = a.mean,
+        s = a.variance;return [batchNormalization(e, o, s, n, t, i), o, s];
+  });
+}function broadcastNormalizeBatchInTraining(e, t, n, r, i) {
+  return void 0 === i && (i = .001), (0, _tfjsCore.tidy)(function () {
+    for (var a = (0, _tfjsCore.moments)(e, r), o = a.mean, s = a.variance, l = [], u = 0, c = range(0, e.rank); u < c.length; u++) {
+      var p = c[u];-1 !== r.indexOf(p) ? l.push(1) : l.push(e.shape[p]);
+    }var h = o.reshape(l),
+        d = s.reshape(l),
+        g = null == t ? null : t.reshape(l),
+        f = null == n ? null : n.reshape(l);return [batchNormalization(e, h, d, f, g, i), o, s];
+  });
+}function normalizeBatchInTraining(e, t, n, r, i) {
+  return void 0 === i && (i = .001), _tfjsCore.util.arraysEqual(r.slice().sort(), range(0, e.rank - 1)) ? regularNormalizeBatchInTraining(e, t, n, r, i) : broadcastNormalizeBatchInTraining(e, t, n, r, i);
+}_tfjsCore.serialization.SerializationMap.register(Concatenate);var BatchNormalization = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.supportsMasking = !0, n.axis = null == t.axis ? -1 : t.axis, n.momentum = null == t.momentum ? .99 : t.momentum, n.epsilon = null == t.epsilon ? .001 : t.epsilon, n.center = null == t.center || t.center, n.scale = null == t.scale || t.scale, n.betaInitializer = getInitializer(t.betaInitializer || "zeros"), n.gammaInitializer = getInitializer(t.gammaInitializer || "ones"), n.movingMeanInitializer = getInitializer(t.movingMeanInitializer || "zeros"), n.movingVarianceInitializer = getInitializer(t.movingVarianceInitializer || "ones"), n.betaConstraint = getConstraint(t.betaConstraint), n.gammaConstraint = getConstraint(t.gammaConstraint), n.betaRegularizer = getRegularizer(t.betaRegularizer), n.gammaRegularizer = getRegularizer(t.gammaRegularizer), n.stepCount = 0, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    e = getExactlyOneShape(e);var t = this.axis >= 0 ? this.axis : this.axis + e.length,
+        n = e[t];if (null == n) throw new ValueError("Axis " + t + " of input tensor should have a defined dimension but the layer received an input with shape " + JSON.stringify(e) + ".");this.inputSpec = [new InputSpec({ ndim: e.length, axes: (r = {}, r[t] = n, r) })];var r,
+        i = [n];this.scale && (this.gamma = this.addWeight("gamma", i, null, this.gammaInitializer, this.gammaRegularizer, !0, this.gammaConstraint)), this.center && (this.beta = this.addWeight("beta", i, null, this.betaInitializer, this.betaRegularizer, !0, this.betaConstraint)), this.movingMean = this.addWeight("moving_mean", i, null, this.movingMeanInitializer, null, !1), this.movingVariance = this.addWeight("moving_variance", i, null, this.movingVarianceInitializer, null, !1), this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var r = null != t.training && t.training,
+          i = getExactlyOneTensor(e),
+          a = shape(i),
+          o = a.length,
+          s = range(0, o),
+          l = n.axis >= 0 ? n.axis : n.axis + o;s.splice(l, 1);var u = pyListRepeat(1, o);u[l] = a[l];var c = s.slice();c.sort();var p = !_tfjsCore.util.arraysEqual(c, range(0, o).slice(0, o - 1));if (!r) return function () {
+        if (p) {
+          var e = n.movingMean.read().reshape(u),
+              t = n.movingVariance.read().reshape(u),
+              r = n.center ? n.beta.read().reshape(u) : null,
+              a = n.scale ? n.gamma.read().reshape(u) : null;return batchNormalization(i, e, t, r, a, n.epsilon);
+        }return batchNormalization(i, n.movingMean.read(), n.movingVariance.read(), null == n.beta ? null : n.beta.read(), null == n.gamma ? null : n.gamma.read(), n.epsilon);
+      }();var h = normalizeBatchInTraining(i, n.gamma.read(), n.beta.read(), s, n.epsilon),
+          d = h[0],
+          g = h[1],
+          f = h[2],
+          m = arrayProd(s.map(function (e) {
+        return i.shape[e];
+      })),
+          y = f.mul(getScalar(m / (m - (1 + n.epsilon))));return function () {
+        n.stepCount++;var e = (0, _tfjsCore.movingAverage)(n.movingMean.read(), g, n.momentum, n.stepCount);n.movingMean.write(e);var t = (0, _tfjsCore.movingAverage)(n.movingVariance.read(), y, n.momentum, n.stepCount);n.movingVariance.write(t);
+      }(), d;
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { axis: this.axis, momentum: this.momentum, epsilon: this.epsilon, center: this.center, scale: this.scale, betaInitializer: serializeInitializer(this.betaInitializer), gammaInitializer: serializeInitializer(this.gammaInitializer), movingMeanInitializer: serializeInitializer(this.movingMeanInitializer), movingVarianceInitializer: serializeInitializer(this.movingVarianceInitializer), betaRegularizer: serializeRegularizer(this.betaRegularizer), gammaRegularizer: serializeRegularizer(this.gammaRegularizer), betaConstraint: serializeConstraint(this.betaConstraint), gammaConstraint: serializeConstraint(this.gammaConstraint) },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "BatchNormalization", t;
+}(Layer);function spatial2dPadding(e, t, n) {
+  return (0, _tfjsCore.tidy)(function () {
+    if (4 !== e.rank) throw new ValueError("temporalPadding expects input tensor to be 4-D, but received a " + e.rank + "-D tensor.");if (null == t && (t = [[1, 1], [1, 1]]), 2 !== t.length || 2 !== t[0].length || 2 !== t[1].length) throw new ValueError("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if (null == n && (n = imageDataFormat()), "channelsLast" !== n && "channelsFirst" !== n) throw new ValueError("Unknown data format: " + n + ". Supported data formats are 'channelsLast' and 'channelsFirst.");var r;return r = "channelsFirst" === n ? [[0, 0], [0, 0], t[0], t[1]] : [[0, 0], t[0], t[1], [0, 0]], (0, _tfjsCore.pad)(e, r);
+  });
+}_tfjsCore.serialization.SerializationMap.register(BatchNormalization);var ZeroPadding2D = function (e) {
+  function t(t) {
+    var n = this;if (null == t && (t = {}), (n = e.call(this, t) || this).dataFormat = null == t.dataFormat ? imageDataFormat() : t.dataFormat, null == t.padding) n.padding = [[1, 1], [1, 1]];else if ("number" == typeof t.padding) n.padding = [[t.padding, t.padding], [t.padding, t.padding]];else {
+      if (t.padding = t.padding, 2 !== t.padding.length) throw new ValueError("ZeroPadding2D expects padding to be a length-2 array, but received a length-" + t.padding.length + " array.");var r = void 0,
+          i = void 0;if ("number" == typeof t.padding[0]) r = [t.padding[0], t.padding[0]], i = [t.padding[1], t.padding[1]];else {
+        if (t.padding = t.padding, 2 !== t.padding[0].length) throw new ValueError("ZeroPadding2D expects height padding to be a length-2 array, but received a length-" + t.padding[0].length + " array.");if (r = t.padding[0], 2 !== t.padding[1].length) throw new ValueError("ZeroPadding2D expects width padding to be a length-2 array, but received a length-" + t.padding[1].length + " array.");i = t.padding[1];
+      }n.padding = [r, i];
+    }return n.inputSpec = [new InputSpec({ ndim: 4 })], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    var t, n;return e = getExactlyOneShape(e), "channelsFirst" === this.dataFormat ? (t = null != e[2] && e[2] >= 0 ? e[2] + this.padding[0][0] + this.padding[0][1] : null, n = null != e[3] && e[3] >= 0 ? e[3] + this.padding[1][0] + this.padding[1][1] : null, [e[0], e[1], t, n]) : (t = null != e[1] && e[1] >= 0 ? e[1] + this.padding[0][0] + this.padding[0][1] : null, n = null != e[2] && e[2] >= 0 ? e[2] + this.padding[1][0] + this.padding[1][1] : null, [e[0], t, n, e[3]]);
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return spatial2dPadding(getExactlyOneTensor(e), n.padding, n.dataFormat);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { padding: this.padding, dataFormat: this.dataFormat },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "ZeroPadding2D", t;
+}(Layer);function pool2d(e, t, n, r, i, a) {
+  return (0, _tfjsCore.tidy)(function () {
+    var o;checkDataFormat(i), checkPoolMode(a), checkPaddingMode(r), null == n && (n = [1, 1]), null == r && (r = "valid"), null == i && (i = imageDataFormat()), null == a && (a = "max"), e = preprocessConv2DInput(e, i);var s = "same" === r ? "same" : "valid";return o = "max" === a ? (0, _tfjsCore.maxPool)(e, t, n, s) : (0, _tfjsCore.avgPool)(e, t, n, s), "channelsFirst" === i && (o = (0, _tfjsCore.transpose)(o, [0, 3, 1, 2])), o;
+  });
+}_tfjsCore.serialization.SerializationMap.register(ZeroPadding2D);var Pooling1D = function (e) {
+  function t(t) {
+    var n = this;if (null == t.poolSize && (t.poolSize = 2), n = e.call(this, t) || this, "number" == typeof t.poolSize) n.poolSize = [t.poolSize];else {
+      if (!Array.isArray(t.poolSize) || 1 !== t.poolSize.length || "number" != typeof t.poolSize[0]) throw new ValueError("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received " + JSON.stringify(t.poolSize));n.poolSize = t.poolSize;
+    }if (null == t.strides) n.strides = n.poolSize;else if ("number" == typeof t.strides) n.strides = [t.strides];else {
+      if (!Array.isArray(t.strides) || 1 !== t.strides.length || "number" != typeof t.strides[0]) throw new ValueError("strides for 1D convolutional layer must be a number or an Array of a single number, but received " + JSON.stringify(t.strides));n.strides = t.strides;
+    }return n.padding = null == t.padding ? "valid" : t.padding, checkPaddingMode(n.padding), n.inputSpec = [new InputSpec({ ndim: 3 })], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    var t = convOutputLength((e = getExactlyOneShape(e))[1], this.poolSize[0], this.padding, this.strides[0]);return [e[0], t, e[2]];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      n.invokeCallHook(e, t), e = expandDims(getExactlyOneTensor(e), 2);var r = n.poolingFunction(getExactlyOneTensor(e), [n.poolSize[0], 1], [n.strides[0], 1], n.padding, "channelsLast");return (0, _tfjsCore.squeeze)(r, [2]);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { poolSize: this.poolSize, padding: this.padding, strides: this.strides },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t;
+}(Layer),
+    MaxPooling1D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {
+    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, "max");
+  }, t.className = "MaxPooling1D", t;
+}(Pooling1D);_tfjsCore.serialization.SerializationMap.register(MaxPooling1D);var AveragePooling1D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {
+    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, "avg");
+  }, t.className = "AveragePooling1D", t;
+}(Pooling1D);_tfjsCore.serialization.SerializationMap.register(AveragePooling1D);var Pooling2D = function (e) {
+  function t(t) {
+    var n = this;if (null == t.poolSize && (t.poolSize = [2, 2]), (n = e.call(this, t) || this).poolSize = Array.isArray(t.poolSize) ? t.poolSize : [t.poolSize, t.poolSize], null == t.strides) n.strides = n.poolSize;else if (Array.isArray(t.strides)) {
+      if (2 !== t.strides.length) throw new ValueError("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length " + t.strides.length + ".");n.strides = t.strides;
+    } else n.strides = [t.strides, t.strides];return n.padding = null == t.padding ? "valid" : t.padding, n.dataFormat = null == t.dataFormat ? "channelsLast" : t.dataFormat, checkDataFormat(n.dataFormat), checkPaddingMode(n.padding), n.inputSpec = [new InputSpec({ ndim: 4 })], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    e = getExactlyOneShape(e);var t = "channelsFirst" === this.dataFormat ? e[2] : e[1],
+        n = "channelsFirst" === this.dataFormat ? e[3] : e[2];return t = convOutputLength(t, this.poolSize[0], this.padding, this.strides[0]), n = convOutputLength(n, this.poolSize[1], this.padding, this.strides[1]), "channelsFirst" === this.dataFormat ? [e[0], e[1], t, n] : [e[0], t, n, e[3]];
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return n.invokeCallHook(e, t), n.poolingFunction(getExactlyOneTensor(e), n.poolSize, n.strides, n.padding, n.dataFormat);
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { poolSize: this.poolSize, padding: this.padding, strides: this.strides, dataFormat: this.dataFormat },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t;
+}(Layer),
+    MaxPooling2D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {
+    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, "max");
+  }, t.className = "MaxPooling2D", t;
+}(Pooling2D);_tfjsCore.serialization.SerializationMap.register(MaxPooling2D);var AveragePooling2D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.poolingFunction = function (e, t, n, r, i) {
+    return checkDataFormat(i), checkPaddingMode(r), pool2d(e, t, n, r, i, "avg");
+  }, t.className = "AveragePooling2D", t;
+}(Pooling2D);_tfjsCore.serialization.SerializationMap.register(AveragePooling2D);var GlobalPooling1D = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.inputSpec = [new InputSpec({ ndim: 3 })], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    return [e[0], e[2]];
+  }, t.prototype.call = function (e, t) {
+    throw new NotImplementedError();
+  }, t;
+}(Layer),
+    GlobalAveragePooling1D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e);return (0, _tfjsCore.mean)(t, 1);
+    });
+  }, t.className = "GlobalAveragePooling1D", t;
+}(GlobalPooling1D);_tfjsCore.serialization.SerializationMap.register(GlobalAveragePooling1D);var GlobalMaxPooling1D = function (e) {
+  function t(t) {
+    return e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e);return (0, _tfjsCore.max)(t, 1);
+    });
+  }, t.className = "GlobalMaxPooling1D", t;
+}(GlobalPooling1D);_tfjsCore.serialization.SerializationMap.register(GlobalMaxPooling1D);var GlobalPooling2D = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.dataFormat = null == t.dataFormat ? "channelsLast" : t.dataFormat, checkDataFormat(n.dataFormat), n.inputSpec = [new InputSpec({ ndim: 4 })], n;
+  }return __extends(t, e), t.prototype.computeOutputShape = function (e) {
+    return e = e, "channelsLast" === this.dataFormat ? [e[0], e[3]] : [e[0], e[1]];
+  }, t.prototype.call = function (e, t) {
+    throw new NotImplementedError();
+  }, t.prototype.getConfig = function () {
+    var t = { dataFormat: this.dataFormat },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t;
+}(Layer),
+    GlobalAveragePooling2D = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e);return "channelsLast" === n.dataFormat ? (0, _tfjsCore.mean)(t, [1, 2]) : (0, _tfjsCore.mean)(t, [2, 3]);
+    });
+  }, t.className = "GlobalAveragePooling2D", t;
+}(GlobalPooling2D);_tfjsCore.serialization.SerializationMap.register(GlobalAveragePooling2D);var GlobalMaxPooling2D = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var t = getExactlyOneTensor(e);return "channelsLast" === n.dataFormat ? (0, _tfjsCore.max)(t, [1, 2]) : (0, _tfjsCore.max)(t, [2, 3]);
+    });
+  }, t.className = "GlobalMaxPooling2D", t;
+}(GlobalPooling2D);function rnn(e, t, n, r, i, a, o, s) {
+  void 0 === r && (r = !1), void 0 === o && (o = !1);var l = t.shape.length;if (l < 3) throw new ValueError("Input should be at least 3D, but is " + l + "D.");var u,
+      c,
+      p = [1, 0].concat(range(2, l));if (t = (0, _tfjsCore.transpose)(t, p), null != i) throw new NotImplementedError("The rnn() function of the deeplearn.js backend does not support masking yet.");if (null != a) throw new NotImplementedError("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o && console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."), r && (t = (0, _tfjsCore.reverse)(t, 0));for (var h = n, d = t.shape[0], g = 0; g < d; ++g) {
+    var f = sliceAlongFirstAxis(t, g, 1),
+        m = e(f = f.reshape(f.shape.slice(1)), h);c = m[0], u = 0 === g ? c.reshape([1].concat(c.shape)) : concatAlongFirstAxis(u, c.reshape([1].concat(c.shape))), h = m[1];
+  }return [c, (0, _tfjsCore.transpose)(u, [1, 0].concat(range(2, u.shape.length))), h];
+}_tfjsCore.serialization.SerializationMap.register(GlobalMaxPooling2D);var RNN = function (e) {
+  function t(t) {
+    var n,
+        r = e.call(this, t) || this;if (null == t.cell) throw new ValueError("cell property is missing for the constructor of RNN.");if (null == (n = Array.isArray(t.cell) ? new StackedRNNCells({ cells: t.cell }) : t.cell).stateSize) throw new ValueError("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell = n, r.returnSequences = null != t.returnSequences && t.returnSequences, r.returnState = null != t.returnState && t.returnState, r.goBackwards = null != t.goBackwards && t.goBackwards, r._stateful = null != t.stateful && t.stateful, r.unroll = null != t.unroll && t.unroll, r.supportsMasking = !0, r.inputSpec = [new InputSpec({ ndim: 3 })], r.stateSpec = null, r.states = null, r.numConstants = null, r;
+  }return __extends(t, e), t.prototype.getStates = function () {
+    return null == this.states ? range(0, Array.isArray(this.cell.stateSize) ? this.cell.stateSize.length : 1).map(function (e) {
+      return null;
+    }) : this.states;
+  }, t.prototype.setStates = function (e) {
+    this.states = e;
+  }, t.prototype.computeOutputShape = function (e) {
+    isArrayOfShapes(e) && (e = e[0]), e = e;var t = this.cell.stateSize;Array.isArray(t) || (t = [t]);var n,
+        r = t[0];if (n = this.returnSequences ? [e[0], e[1], r] : [e[0], r], this.returnState) {
+      for (var i = [], a = 0, o = t; a < o.length; a++) {
+        var s = o[a];i.push([e[0], s]);
+      }return [n].concat(i);
+    }return n;
+  }, t.prototype.computeMask = function (e, t) {
+    throw new NotImplementedError("computeMask has not been implemented for RNN yet");
+  }, t.prototype.build = function (e) {
+    if (null != this.numConstants) throw new NotImplementedError("Constants support is not implemented in RNN yet.");isArrayOfShapes(e) && (e = e[0]), e = e;var t = this.stateful ? e[0] : null,
+        n = e[e.length - 1];this.inputSpec[0] = new InputSpec({ shape: [t, null, n] });var r,
+        i = [e[0]].concat(e.slice(2));if (this.cell.build(i), r = Array.isArray(this.cell.stateSize) ? this.cell.stateSize : [this.cell.stateSize], null != this.stateSpec) {
+      if (!_tfjsCore.util.arraysEqual(this.stateSpec.map(function (e) {
+        return e.shape[e.shape.length - 1];
+      }), r)) throw new ValueError("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=" + this.stateSpec + "; However cell.stateSize is " + this.cell.stateSize);
+    } else this.stateSpec = r.map(function (e) {
+      return new InputSpec({ shape: [null, e] });
+    });if (this.stateful) throw new NotImplementedError("stateful RNN layer is not implemented yet");
+  }, t.prototype.resetStates = function (e) {
+    var t = this;(0, _tfjsCore.tidy)(function () {
+      if (!t.stateful) throw new AttributeError("Cannot call resetState() on an RNN Layer that is not stateful.");var n = t.inputSpec[0].shape[0];if (null == n) throw new ValueError("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if (null == t.states) Array.isArray(t.cell.stateSize) ? t.states = t.cell.stateSize.map(function (e) {
+        return (0, _tfjsCore.zeros)([n, e]);
+      }) : t.states = [(0, _tfjsCore.zeros)([n, t.cell.stateSize])];else if (null == e) Array.isArray(t.cell.stateSize) ? t.states = t.cell.stateSize.map(function (e) {
+        return (0, _tfjsCore.zeros)([n, e]);
+      }) : t.states[0] = (0, _tfjsCore.zeros)([n, t.cell.stateSize]);else {
+        if (Array.isArray(e) || (e = [e]), e.length !== t.states.length) throw new ValueError("Layer " + t.name + " expects " + t.states.length + " state(s), but it received " + e.length + " state value(s). Input received: " + e);for (var r = 0; r < t.states.length; ++r) {
+          var i = e[r],
+              a = Array.isArray(t.cell.stateSize) ? t.cell.stateSize[r] : t.cell.stateSize,
+              o = [n, a];if (!_tfjsCore.util.arraysEqual(i.shape, o)) throw new ValueError("State " + r + " is incompatible with layer " + t.name + ": expected shape=" + o + ", received shape=" + i.shape);t.states[r] = i;
+        }
+      }
+    });
+  }, t.prototype.standardizeArgs = function (e, t, n) {
+    if (Array.isArray(e)) {
+      if (null != t || null != n) throw new ValueError("When inputs is an array, neither initialState or constants should be provided");null != this.numConstants && (n = e.slice(e.length - this.numConstants, e.length), e = e.slice(0, e.length - this.numConstants)), e.length > 1 && (t = e.slice(1, e.length)), e = e[0];
+    }function r(e) {
+      return null == e || Array.isArray(e) ? e : [e];
+    }return { inputs: e, initialState: t = r(t), constants: n = r(n) };
+  }, t.prototype.apply = function (t, n) {
+    var r = null == n ? null : n.initialState,
+        i = null == n ? null : n.constants;null == n && (n = {});var a = this.standardizeArgs(t, r, i);t = a.inputs, r = a.initialState, i = a.constants;var o = [],
+        s = [];if (null != r) {
+      n.initialState = r, o = o.concat(r), this.stateSpec = [];for (var l = 0, u = r; l < u.length; l++) {
+        var c = u[l];this.stateSpec.push(new InputSpec({ shape: c.shape }));
+      }s = s.concat(this.stateSpec);
+    }if (null != i && (n.constants = i, o = o.concat(i), this.numConstants = i.length), o[0] instanceof SymbolicTensor) {
+      var p = [t].concat(o),
+          h = this.inputSpec.concat(s),
+          d = this.inputSpec;this.inputSpec = h;var g = e.prototype.apply.call(this, p, n);return this.inputSpec = d, g;
+    }return e.prototype.apply.call(this, t, n);
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      var r = null == t ? null : t.mask,
+          i = null == t ? null : t.training,
+          a = null == t ? null : t.initialState;if (e = getExactlyOneTensor(e), null == a) {
+        if (n.stateful) throw new NotImplementedError("stateful RNN layer is not implemented yet.");a = n.getInitialState(e);
+      }if (null != r) throw new NotImplementedError("Masking is not implemented for RNN yet");var o = Array.isArray(n.cell.stateSize) ? n.cell.stateSize.length : 1;if (a.length !== o) throw new ValueError("RNN Layer has " + o + " state(s) but was passed " + a.length + " initial state(s).");var s = e.shape[1];n.unroll && console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var l = { training: i },
+          u = rnn(function (e, t) {
+        var r = n.cell.call([e].concat(t), l);return [r[0], r.slice(1)];
+      }, e, a, n.goBackwards, null, null, n.unroll, s),
+          c = u[0],
+          p = u[1],
+          h = u[2];if (n.stateful) throw new NotImplementedError("stateful RNN layer is not implemented yet");var d = n.returnSequences ? p : c;return n.returnState ? [d].concat(h) : d;
+    });
+  }, t.prototype.getInitialState = function (e) {
+    var t = this;return (0, _tfjsCore.tidy)(function () {
+      var n = (0, _tfjsCore.zeros)(e.shape);return n = expandDims(n = (0, _tfjsCore.sum)(n, [1, 2])), Array.isArray(t.cell.stateSize) ? t.cell.stateSize.map(function (e) {
+        return e > 1 ? tile$1(n, [1, e]) : n;
+      }) : t.cell.stateSize > 1 ? [tile$1(n, [1, t.cell.stateSize])] : [n];
+    });
+  }, Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      return this.trainable ? this.cell.trainableWeights : [];
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      return this.trainable ? this.cell.nonTrainableWeights : this.cell.weights;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {
+    var t = { returnSequences: this.returnSequences, returnState: this.returnState, goBackwards: this.goBackwards, stateful: this.stateful, unroll: this.unroll };null != this.numConstants && (t.numConstants = this.numConstants);var n = this.cell.getConfig();t.cell = { className: this.cell.getClassName(), config: n };var r = e.prototype.getConfig.call(this);return Object.assign(t, r), t;
+  }, t.className = "RNN", t;
+}(Layer);_tfjsCore.serialization.SerializationMap.register(RNN);var RNNCell = function (e) {
+  function t() {
+    return null !== e && e.apply(this, arguments) || this;
+  }return __extends(t, e), t = __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Classes" })], t);
+}(Layer),
+    SimpleRNNCell = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = "tanh", n.DEFAULT_KERNEL_INITIALIZER = "glorotNormal", n.DEFAULT_RECURRENT_INITIALIZER = "orthogonal", n.DEFAULT_BIAS_INITIALIZER = "zeros", n.units = t.units, n.activation = getActivation(null == t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.stateSize = n.units, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    e = getExactlyOneShape(e), this.kernel = this.addWeight("kernel", [e[e.length - 1], this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight("recurrent_kernel", [this.units, this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias ? this.bias = this.addWeight("bias", [this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (2 !== (e = e).length) throw new ValueError("SimpleRNNCell expects 2 input Tensors, got " + e.length + ".");var t = e[1];if (e = e[0], 0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError("Dropout is not implemented for SimpleRNNCell yet");var r = dot(e, n.kernel.read());null != n.bias && (r = biasAdd(r, n.bias.read()));var i = (0, _tfjsCore.add)(r, dot(t, n.recurrentKernel.read()));return null != n.activation && (i = n.activation.apply(i)), [i, i];
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "SimpleRNNCell", t;
+}(RNNCell);_tfjsCore.serialization.SerializationMap.register(SimpleRNNCell);var SimpleRNN = function (e) {
+  function t(t) {
+    return t.cell = new SimpleRNNCell(t), e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.call = function (t, n) {
+    var r = this;return (0, _tfjsCore.tidy)(function () {
+      var i = null == n ? null : n.mask,
+          a = null == n ? null : n.training,
+          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });
+    });
+  }, Object.defineProperty(t.prototype, "units", { get: function () {
+      return this.cell.units;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "activation", { get: function () {
+      return this.cell.activation;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "useBias", { get: function () {
+      return this.cell.useBias;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelInitializer", { get: function () {
+      return this.cell.kernelInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentInitializer", { get: function () {
+      return this.cell.recurrentInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasInitializer", { get: function () {
+      return this.cell.biasInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelRegularizer", { get: function () {
+      return this.cell.kernelRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentRegularizer", { get: function () {
+      return this.cell.recurrentRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasRegularizer", { get: function () {
+      return this.cell.biasRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelConstraint", { get: function () {
+      return this.cell.kernelConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentConstraint", { get: function () {
+      return this.cell.recurrentConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasConstraint", { get: function () {
+      return this.cell.biasConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "dropout", { get: function () {
+      return this.cell.dropout;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentDropout", { get: function () {
+      return this.cell.recurrentDropout;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout },
+        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;
+  }, t.className = "SimpleRNN", t;
+}(RNN);_tfjsCore.serialization.SerializationMap.register(SimpleRNN);var GRUCell = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = "tanh", n.DEFAULT_RECURRENT_ACTIVATION = "hardSigmoid", n.DEFAULT_KERNEL_INITIALIZER = "glorotNormal", n.DEFAULT_RECURRENT_INITIALIZER = "orthogonal", n.DEFAULT_BIAS_INITIALIZER = "zeros", n.units = t.units, n.activation = getActivation(void 0 === t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.recurrentActivation = getActivation(void 0 === t.recurrentActivation ? n.DEFAULT_RECURRENT_ACTIVATION : t.recurrentActivation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.implementation = t.implementation, n.stateSize = n.units, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    var t = (e = getExactlyOneShape(e))[e.length - 1];this.kernel = this.addWeight("kernel", [t, 3 * this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight("recurrent_kernel", [this.units, 3 * this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias ? this.bias = this.addWeight("bias", [3 * this.units], null, this.biasInitializer, this.biasRegularizer, !0, this.biasConstraint) : this.bias = null, this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError("Dropout is not implemented for GRUCell yet");if (2 !== (e = e).length) throw new ValueError("GRUCell expects 2 input Tensors (inputs, h, c), got " + e.length + ".");var t,
+          r,
+          i,
+          a = e[1];if (e = e[0], 1 === n.implementation) {
+        var o = sliceAlongLastAxis(n.kernel.read(), 0, n.units),
+            s = sliceAlongLastAxis(n.kernel.read(), n.units, n.units),
+            l = sliceAlongLastAxis(n.kernel.read(), 2 * n.units, n.units),
+            u = sliceAlongLastAxis(n.recurrentKernel.read(), 0, n.units),
+            c = sliceAlongLastAxis(n.recurrentKernel.read(), n.units, n.units),
+            p = sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units),
+            h = e,
+            d = e,
+            g = dot(e, o),
+            f = dot(h, s),
+            m = dot(d, l);if (n.useBias) {
+          var y = sliceAlongFirstAxis(n.bias.read(), 0, n.units),
+              v = sliceAlongFirstAxis(n.bias.read(), n.units, n.units),
+              b = sliceAlongFirstAxis(n.bias.read(), 2 * n.units, n.units);g = biasAdd(g, y), f = biasAdd(f, v), m = biasAdd(m, b);
+        }var z = a,
+            w = a,
+            S = a;t = n.recurrentActivation.apply((0, _tfjsCore.add)(g, dot(z, u))), r = n.recurrentActivation.apply((0, _tfjsCore.add)(f, dot(w, c))), i = n.activation.apply((0, _tfjsCore.add)(m, dot((0, _tfjsCore.mul)(r, S), p)));
+      } else {
+        var I = dot(e, n.kernel.read());n.useBias && (I = biasAdd(I, n.bias.read()));var _ = dot(a, sliceAlongLastAxis(n.recurrentKernel.read(), 0, 2 * n.units)),
+            A = (g = sliceAlongLastAxis(I, 0, n.units), f = sliceAlongLastAxis(I, n.units, n.units), sliceAlongLastAxis(_, 0, n.units)),
+            N = sliceAlongLastAxis(_, n.units, n.units);t = n.recurrentActivation.apply((0, _tfjsCore.add)(g, A)), r = n.recurrentActivation.apply((0, _tfjsCore.add)(f, N));m = sliceAlongLastAxis(I, 2 * n.units, n.units);var E = dot((0, _tfjsCore.mul)(r, a), sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units));i = n.activation.apply((0, _tfjsCore.add)(m, E));
+      }var L = (0, _tfjsCore.add)((0, _tfjsCore.mul)(t, a), (0, _tfjsCore.mul)(scalarPlusArray(getScalar(1), (0, _tfjsCore.neg)(t)), i));return [L, L];
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "GRUCell", t;
+}(RNNCell);_tfjsCore.serialization.SerializationMap.register(GRUCell);var GRU = function (e) {
+  function t(t) {
+    return 0 === t.implementation && console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."), t.cell = new GRUCell(t), e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.call = function (t, n) {
+    var r = this;return (0, _tfjsCore.tidy)(function () {
+      var i = null == n ? null : n.mask,
+          a = null == n ? null : n.training,
+          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });
+    });
+  }, Object.defineProperty(t.prototype, "units", { get: function () {
+      return this.cell.units;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "activation", { get: function () {
+      return this.cell.activation;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentActivation", { get: function () {
+      return this.cell.recurrentActivation;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "useBias", { get: function () {
+      return this.cell.useBias;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelInitializer", { get: function () {
+      return this.cell.kernelInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentInitializer", { get: function () {
+      return this.cell.recurrentInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasInitializer", { get: function () {
+      return this.cell.biasInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelRegularizer", { get: function () {
+      return this.cell.kernelRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentRegularizer", { get: function () {
+      return this.cell.recurrentRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasRegularizer", { get: function () {
+      return this.cell.biasRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelConstraint", { get: function () {
+      return this.cell.kernelConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentConstraint", { get: function () {
+      return this.cell.recurrentConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasConstraint", { get: function () {
+      return this.cell.biasConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "dropout", { get: function () {
+      return this.cell.dropout;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentDropout", { get: function () {
+      return this.cell.recurrentDropout;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "implementation", { get: function () {
+      return this.cell.implementation;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },
+        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;
+  }, t.fromConfig = function (e, t) {
+    return 0 === t.implmentation && (t.implementation = 1), new e(t);
+  }, t.className = "GRU", t;
+}(RNN);_tfjsCore.serialization.SerializationMap.register(GRU);var LSTMCell = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.DEFAULT_ACTIVATION = "tanh", n.DEFAULT_RECURRENT_ACTIVATION = "hardSigmoid", n.DEFAULT_KERNEL_INITIALIZER = "glorotNormal", n.DEFAULT_RECURRENT_INITIALIZER = "orthogonal", n.DEFAULT_BIAS_INITIALIZER = "zeros", n.units = t.units, n.activation = getActivation(void 0 === t.activation ? n.DEFAULT_ACTIVATION : t.activation), n.recurrentActivation = getActivation(void 0 === t.recurrentActivation ? n.DEFAULT_RECURRENT_ACTIVATION : t.recurrentActivation), n.useBias = null == t.useBias || t.useBias, n.kernelInitializer = getInitializer(t.kernelInitializer || n.DEFAULT_KERNEL_INITIALIZER), n.recurrentInitializer = getInitializer(t.recurrentInitializer || n.DEFAULT_RECURRENT_INITIALIZER), n.biasInitializer = getInitializer(t.biasInitializer || n.DEFAULT_BIAS_INITIALIZER), n.unitForgetBias = t.unitForgetBias, n.kernelRegularizer = getRegularizer(t.kernelRegularizer), n.recurrentRegularizer = getRegularizer(t.recurrentRegularizer), n.biasRegularizer = getRegularizer(t.biasRegularizer), n.kernelConstraint = getConstraint(t.kernelConstraint), n.recurrentConstraint = getConstraint(t.recurrentConstraint), n.biasConstraint = getConstraint(t.biasConstraint), n.dropout = min$1([1, max$1([0, null == t.dropout ? 0 : t.dropout])]), n.recurrentDropout = min$1([1, max$1([0, null == t.recurrentDropout ? 0 : t.recurrentDropout])]), n.implementation = t.implementation, n.stateSize = [n.units, n.units], n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    var t,
+        n,
+        r = (e = getExactlyOneShape(e))[e.length - 1];if (this.kernel = this.addWeight("kernel", [r, 4 * this.units], null, this.kernelInitializer, this.kernelRegularizer, !0, this.kernelConstraint), this.recurrentKernel = this.addWeight("recurrent_kernel", [this.units, 4 * this.units], null, this.recurrentInitializer, this.recurrentRegularizer, !0, this.recurrentConstraint), this.useBias) {
+      if (this.unitForgetBias) {
+        var i = this.biasInitializer,
+            a = this.units;t = new ((n = function (e) {
+          function t() {
+            return null !== e && e.apply(this, arguments) || this;
+          }return __extends(t, e), t.prototype.apply = function (e, t) {
+            var n = i.apply([a]),
+                r = new Ones().apply([a]),
+                o = i.apply([2 * a]);return concatAlongFirstAxis(concatAlongFirstAxis(n, r), o);
+          }, t;
+        }(Initializer)).className = "CustomInit", n)();
+      } else t = this.biasInitializer;this.bias = this.addWeight("bias", [4 * this.units], null, t, this.biasRegularizer, !0, this.biasConstraint);
+    } else this.bias = null;this.built = !0;
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (0 !== n.dropout || 0 !== n.recurrentDropout) throw new NotImplementedError("Dropout is not implemented for LSTMCell yet");if (3 !== (e = e).length) throw new ValueError("LSTMCell expects 3 input Tensors (inputs, h, c), got " + e.length + ".");var t,
+          r,
+          i,
+          a,
+          o = e[1],
+          s = e[2];if (e = e[0], 1 === n.implementation) {
+        var l = sliceAlongLastAxis(n.kernel.read(), 0, n.units),
+            u = sliceAlongLastAxis(n.kernel.read(), n.units, n.units),
+            c = sliceAlongLastAxis(n.kernel.read(), 2 * n.units, n.units),
+            p = sliceAlongLastAxis(n.kernel.read(), 3 * n.units, n.units),
+            h = sliceAlongLastAxis(n.recurrentKernel.read(), 0, n.units),
+            d = sliceAlongLastAxis(n.recurrentKernel.read(), n.units, n.units),
+            g = sliceAlongLastAxis(n.recurrentKernel.read(), 2 * n.units, n.units),
+            f = sliceAlongLastAxis(n.recurrentKernel.read(), 3 * n.units, n.units),
+            m = e,
+            y = e,
+            v = e,
+            b = dot(e, l),
+            z = dot(m, u),
+            w = dot(y, c),
+            S = dot(v, p);if (n.useBias) {
+          var I = sliceAlongFirstAxis(n.bias.read(), 0, n.units),
+              _ = sliceAlongFirstAxis(n.bias.read(), n.units, n.units),
+              A = sliceAlongFirstAxis(n.bias.read(), 2 * n.units, n.units),
+              N = sliceAlongFirstAxis(n.bias.read(), 3 * n.units, n.units);b = biasAdd(b, I), z = biasAdd(z, _), w = biasAdd(w, A), S = biasAdd(S, N);
+        }var E = o,
+            L = o,
+            C = o,
+            x = o;t = n.recurrentActivation.apply((0, _tfjsCore.add)(b, dot(E, h))), r = n.recurrentActivation.apply((0, _tfjsCore.add)(z, dot(L, d))), i = (0, _tfjsCore.add)((0, _tfjsCore.mul)(r, s), (0, _tfjsCore.mul)(t, n.activation.apply((0, _tfjsCore.add)(w, dot(C, g))))), a = n.recurrentActivation.apply((0, _tfjsCore.add)(S, dot(x, f)));
+      } else {
+        var k = dot(e, n.kernel.read());k = (0, _tfjsCore.add)(k, dot(o, n.recurrentKernel.read())), n.useBias && (k = biasAdd(k, n.bias.read()));var T = sliceAlongLastAxis(k, 0, n.units),
+            R = sliceAlongLastAxis(k, n.units, n.units),
+            D = sliceAlongLastAxis(k, 2 * n.units, n.units),
+            O = sliceAlongLastAxis(k, 3 * n.units, n.units);t = n.recurrentActivation.apply(T), r = n.recurrentActivation.apply(R), i = (0, _tfjsCore.add)((0, _tfjsCore.mul)(r, s), (0, _tfjsCore.mul)(t, n.activation.apply(D))), a = n.recurrentActivation.apply(O);
+      }var M = (0, _tfjsCore.mul)(a, n.activation.apply(i));return [M, M, i];
+    });
+  }, t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), unitForgetBias: this.unitForgetBias, kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.className = "LSTMCell", t;
+}(RNNCell);_tfjsCore.serialization.SerializationMap.register(LSTMCell);var LSTM = function (e) {
+  function t(t) {
+    return 0 === t.implementation && console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."), t.cell = new LSTMCell(t), e.call(this, t) || this;
+  }return __extends(t, e), t.prototype.call = function (t, n) {
+    var r = this;return (0, _tfjsCore.tidy)(function () {
+      var i = null == n ? null : n.mask,
+          a = null == n ? null : n.training,
+          o = null == n ? null : n.initialState;return e.prototype.call.call(r, t, { mask: i, training: a, initialState: o });
+    });
+  }, Object.defineProperty(t.prototype, "units", { get: function () {
+      return this.cell.units;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "activation", { get: function () {
+      return this.cell.activation;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentActivation", { get: function () {
+      return this.cell.recurrentActivation;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "useBias", { get: function () {
+      return this.cell.useBias;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelInitializer", { get: function () {
+      return this.cell.kernelInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentInitializer", { get: function () {
+      return this.cell.recurrentInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasInitializer", { get: function () {
+      return this.cell.biasInitializer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "unitForgetBias", { get: function () {
+      return this.cell.unitForgetBias;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelRegularizer", { get: function () {
+      return this.cell.kernelRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentRegularizer", { get: function () {
+      return this.cell.recurrentRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasRegularizer", { get: function () {
+      return this.cell.biasRegularizer;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "kernelConstraint", { get: function () {
+      return this.cell.kernelConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentConstraint", { get: function () {
+      return this.cell.recurrentConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "biasConstraint", { get: function () {
+      return this.cell.biasConstraint;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "dropout", { get: function () {
+      return this.cell.dropout;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "recurrentDropout", { get: function () {
+      return this.cell.recurrentDropout;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "implementation", { get: function () {
+      return this.cell.implementation;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {
+    var t = { units: this.units, activation: serializeActivation(this.activation), recurrentActivation: serializeActivation(this.recurrentActivation), useBias: this.useBias, kernelInitializer: serializeInitializer(this.kernelInitializer), recurrentInitializer: serializeInitializer(this.recurrentInitializer), biasInitializer: serializeInitializer(this.biasInitializer), unitForgetBias: this.unitForgetBias, kernelRegularizer: serializeRegularizer(this.kernelRegularizer), recurrentRegularizer: serializeRegularizer(this.recurrentRegularizer), biasRegularizer: serializeRegularizer(this.biasRegularizer), activityRegularizer: serializeRegularizer(this.activityRegularizer), kernelConstraint: serializeConstraint(this.kernelConstraint), recurrentConstraint: serializeConstraint(this.recurrentConstraint), biasConstraint: serializeConstraint(this.biasConstraint), dropout: this.dropout, recurrentDropout: this.recurrentDropout, implementation: this.implementation },
+        n = e.prototype.getConfig.call(this);return delete n.cell, Object.assign(t, n), t;
+  }, t.fromConfig = function (e, t) {
+    return 0 === t.implmentation && (t.implementation = 1), new e(t);
+  }, t.className = "LSTM", t;
+}(RNN);_tfjsCore.serialization.SerializationMap.register(LSTM);var StackedRNNCells = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.cells = t.cells, n;
+  }return __extends(t, e), Object.defineProperty(t.prototype, "stateSize", { get: function () {
+      for (var e = [], t = 0, n = this.cells.slice().reverse(); t < n.length; t++) {
+        var r = n[t];Array.isArray(r.stateSize) ? e.push.apply(e, r.stateSize) : e.push(r.stateSize);
+      }return e;
+    }, enumerable: !0, configurable: !0 }), t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      for (var r = (e = e).slice(1), i = [], a = 0, o = n.cells.slice().reverse(); a < o.length; a++) {
+        var s = o[a];Array.isArray(s.stateSize) ? i.push(r.splice(0, s.stateSize.length)) : i.push(r.splice(0, 1));
+      }i.reverse();for (var l, u = [], c = 0; c < n.cells.length; ++c) {
+        s = n.cells[c];r = i[c], l = 0 === c ? [e[0]].concat(r) : [l[0]].concat(r), l = s.call(l, t), u.push(l.slice(1));
+      }r = [];for (var p = 0, h = u.slice().reverse(); p < h.length; p++) {
+        var d = h[p];r.push.apply(r, d);
+      }return [l[0]].concat(r);
+    });
+  }, t.prototype.build = function (e) {
+    var t;isArrayOfShapes(e) && (e = e[0]), e = e;for (var n = 0, r = this.cells; n < r.length; n++) {
+      var i = r[n];i.build(e), t = Array.isArray(i.stateSize) ? i.stateSize[0] : i.stateSize, e = [e[0], t];
+    }this.built = !0;
+  }, t.prototype.getConfig = function () {
+    for (var t = [], n = 0, r = this.cells; n < r.length; n++) {
+      var i = r[n];t.push({ className: this.getClassName(), config: i.getConfig() });
+    }var a = { cells: t },
+        o = e.prototype.getConfig.call(this);return Object.assign(a, o), a;
+  }, t.fromConfig = function (e, t, n) {
+    void 0 === n && (n = {});for (var r = [], i = 0, a = t.cells; i < a.length; i++) {
+      var o = a[i];r.push(deserialize(o, n));
+    }return new e({ cells: r });
+  }, Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      if (!this.trainable) return [];for (var e = [], t = 0, n = this.cells; t < n.length; t++) {
+        var r = n[t];e.push.apply(e, r.trainableWeights);
+      }return e;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      for (var e = [], t = 0, n = this.cells; t < n.length; t++) {
+        var r = n[t];e.push.apply(e, r.nonTrainableWeights);
+      }if (!this.trainable) {
+        for (var i = [], a = 0, o = this.cells; a < o.length; a++) {
+          r = o[a];i.push.apply(i, r.trainableWeights);
+        }return i.concat(e);
+      }return e;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {
+    for (var e = [], t = 0, n = this.cells; t < n.length; t++) {
+      var r = n[t];e.push.apply(e, r.weights);
+    }return batchGetValue(e);
+  }, t.prototype.setWeights = function (e) {
+    for (var t = [], n = 0, r = this.cells; n < r.length; n++) for (var i = r[n], a = i.weights.length, o = e.splice(a), s = 0; s < i.weights.length; ++s) t.push([i.weights[s], o[s]]);batchSetValue(t);
+  }, t.className = "StackedRNNCells", t;
+}(RNNCell);_tfjsCore.serialization.SerializationMap.register(StackedRNNCells);var Wrapper = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.layer = t.layer, n;
+  }return __extends(t, e), t.prototype.build = function (e) {
+    this.built = !0;
+  }, Object.defineProperty(t.prototype, "trainable", { get: function () {
+      return null != this.layer && this.layer.trainable;
+    }, set: function (e) {
+      null != this.layer && (this.layer.trainable = e);
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      return this.layer.trainableWeights;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      return this.layer.nonTrainableWeights;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "updates", { get: function () {
+      return this.layer._updates;
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "losses", { get: function () {
+      return this.layer.losses;
+    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {
+    return this.layer.getWeights();
+  }, t.prototype.setWeights = function (e) {
+    this.layer.setWeights(e);
+  }, t.prototype.getConfig = function () {
+    var t = { layer: { className: this.layer.getClassName(), config: this.layer.getConfig() } },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.fromConfig = function (e, t, n) {
+    void 0 === n && (n = {});var r = deserialize(t.layer, n);delete t.layer;var i = { layer: r };return Object.assign(i, t), new e(i);
+  }, t;
+}(Layer),
+    TimeDistributed = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this;return n.supportsMasking = !0, n;
+  }return __extends(t, e), t.prototype.build = function (t) {
+    if ((t = getExactlyOneShape(t)).length < 3) throw new ValueError("TimeDistributed layer expects an input shape >= 3D, but received input shape " + JSON.stringify(t));this.inputSpec = [{ shape: t }];var n = [t[0]].concat(t.slice(2));this.layer.built || (this.layer.build(n), this.layer.built = !0), e.prototype.build.call(this, t);
+  }, t.prototype.computeOutputShape = function (e) {
+    var t = [(e = getExactlyOneShape(e))[0]].concat(e.slice(2)),
+        n = this.layer.computeOutputShape(t),
+        r = e[1];return [n[0], r].concat(n.slice(1));
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      return rnn(function (e, r) {
+        return [n.layer.call(e, t), []];
+      }, e = getExactlyOneTensor(e), [], !1, null, null, !1, e.shape[1])[1];
+    });
+  }, t.className = "TimeDistributed", t;
+}(Wrapper);_tfjsCore.serialization.SerializationMap.register(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES = ["sum", "mul", "concat", "ave"];function checkBidirectionalMergeMode(e) {
+  checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES, "BidirectionalMergeMode", e);
+}var Bidirectional = function (e) {
+  function t(t) {
+    var n = e.call(this, t) || this,
+        r = t.layer.getConfig();if (n.forwardLayer = deserialize({ className: t.layer.getClassName(), config: r }), r.goBackwards = !0 !== r.goBackwards, n.backwardLayer = deserialize({ className: t.layer.getClassName(), config: r }), n.forwardLayer.name = "forward_" + n.forwardLayer.name, n.backwardLayer.name = "backward_" + n.backwardLayer.name, checkBidirectionalMergeMode(t.mergeMode), n.mergeMode = t.mergeMode, t.weights) throw new NotImplementedError("weights support is not implemented for Bidirectional layer yet.");return n._stateful = t.layer.stateful, n.returnSequences = t.layer.returnSequences, n.returnState = t.layer.returnState, n.supportsMasking = !0, n._trainable = !0, n.inputSpec = t.layer.inputSpec, n;
+  }return __extends(t, e), Object.defineProperty(t.prototype, "trainable", { get: function () {
+      return this._trainable;
+    }, set: function (e) {
+      this._trainable = e, null != this.forwardLayer && (this.forwardLayer.trainable = e), null != this.backwardLayer && (this.backwardLayer.trainable = e);
+    }, enumerable: !0, configurable: !0 }), t.prototype.getWeights = function () {
+    return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights());
+  }, t.prototype.setWeights = function (e) {
+    var t = e.length,
+        n = Math.floor(t / 2);this.forwardLayer.setWeights(e.slice(0, n)), this.backwardLayer.setWeights(e.slice(n));
+  }, t.prototype.computeOutputShape = function (e) {
+    var t,
+        n,
+        r,
+        i = this.forwardLayer.computeOutputShape(e);return Array.isArray(i) && Array.isArray(i[0]) || (i = [i]), i = i, this.returnState ? (r = i.slice(1), t = i[0]) : t = i[0], t = t, "concat" === this.mergeMode ? (t[t.length - 1] *= 2, n = [t]) : n = null == this.mergeMode ? [t, t.slice()] : [t], this.returnState ? null == this.mergeMode ? n.concat(r).concat(r.slice()) : [t].concat(r).concat(r.slice()) : singletonOrArray(n);
+  }, t.prototype.apply = function (t, n) {
+    var r = null;if (null != n && (r = n.initialState), Array.isArray(t) && (r = t.slice(1), t = t[0]), null == r || 0 === r.length) return e.prototype.apply.call(this, t, n);throw new NotImplementedError("The support for initial states is not implemented for Bidirectional layers yet.");
+  }, t.prototype.call = function (e, t) {
+    var n = this;return (0, _tfjsCore.tidy)(function () {
+      if (null != t.mask) throw new NotImplementedError("The support for masking is not implemented for Bidirectional layers yet.");if (null != t.initialState) throw new NotImplementedError("The support for initial states is not implemented for Bidirectional layers yet.");var r,
+          i,
+          a = n.forwardLayer.call(e, t),
+          o = n.backwardLayer.call(e, t);return n.returnState && (Array.isArray(a) && (r = a.slice(1).concat(o.slice(1))), a = a[0], o = o[0]), n.returnSequences && (o = (0, _tfjsCore.reverse)(o, 1)), "concat" === n.mergeMode ? i = concatenate([a, o]) : "sum" === n.mergeMode ? i = (0, _tfjsCore.add)(a, o) : "ave" === n.mergeMode ? i = scalarTimesArray(getScalar(.5), (0, _tfjsCore.add)(a, o)) : "mul" === n.mergeMode ? i = (0, _tfjsCore.mul)(a, o) : null == n.mergeMode && (i = [a, o]), n.returnState ? null == n.mergeMode ? i.concat(r) : [i].concat(r) : i;
+    });
+  }, t.prototype.resetStates = function (e) {
+    this.forwardLayer.resetStates(), this.backwardLayer.resetStates();
+  }, t.prototype.build = function (e) {
+    var t = this;nameScope$1(this.forwardLayer.name, function () {
+      t.forwardLayer.build(e);
+    }), nameScope$1(this.backwardLayer.name, function () {
+      t.backwardLayer.build(e);
+    }), this.built = !0;
+  }, Object.defineProperty(t.prototype, "trainableWeights", { get: function () {
+      return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights);
+    }, enumerable: !0, configurable: !0 }), Object.defineProperty(t.prototype, "nonTrainableWeights", { get: function () {
+      return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights);
+    }, enumerable: !0, configurable: !0 }), t.prototype.getConfig = function () {
+    var t = { mergeMode: this.mergeMode },
+        n = e.prototype.getConfig.call(this);return Object.assign(t, n), t;
+  }, t.fromConfig = function (e, t) {
+    var n = deserialize(t.layer);if (delete t.layer, null != t.numConstants) throw new NotImplementedError("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r = t;return r.layer = n, new e(r);
+  }, t.className = "Bidirectional", t;
+}(Wrapper);function loadModelInternal(e) {
+  return __awaiter(this, void 0, void 0, function () {
+    var t;return __generator(this, function (n) {
+      if ("string" == typeof e) {
+        if (0 === (t = _tfjsCore.io.getLoadHandlers(e)).length) t.push(_tfjsCore.io.browserHTTPRequest(e));else if (t.length > 1) throw new ValueError("Found more than one (" + t.length + ") load handlers for URL '" + e + "'");e = t[0];
+      }return [2, loadModelFromIOHandler(e)];
+    });
+  });
+}function loadModelFromIOHandler(e, t) {
+  return __awaiter(this, void 0, void 0, function () {
+    var n, r, i, a, o;return __generator(this, function (s) {
+      switch (s.label) {case 0:
+          if (null == e.load) throw new ValueError("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return [4, e.load()];case 1:
+          if (n = s.sent(), null != (r = n.modelTopology).model_config && (r = r.model_config), i = deserialize(convertPythonicToTs(r), t), null != n.weightData) {
+            if (null == n.weightSpecs) throw new ValueError("Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");a = !1, o = !0, i.loadWeights(_tfjsCore.io.decodeWeights(n.weightData, n.weightSpecs), a, o);
+          }return [2, i];}
+    });
+  });
+}_tfjsCore.serialization.SerializationMap.register(Bidirectional);var Sequential = function (e) {
+  function t(t) {
+    var n = e.call(this, { inputs: [], outputs: [] }) || this;if (t = t || {}, n.trainable = !0, n._updatable = !0, n.built = !1, n.name = null != t.name ? t.name : getUid("sequential_"), null != t.layers) for (var r = 0, i = t.layers; r < i.length; r++) {
+      var a = i[r];n.add(a);
+    }return n;
+  }return __extends(t, e), n = t, t.prototype.add = function (e) {
+    var t,
+        r = e instanceof n || e instanceof Model;if (r) {
+      if (1 !== (t = e).outputs.length) throw new ValueError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if (1 !== t.inputs.length) throw new ValueError("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.");
+    }if (0 === this.outputs.length) {
+      if (0 === e.inboundNodes.length) {
+        if (null == e.batchInputShape) throw new ValueError("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i = Input({ batchShape: e.batchInputShape, dtype: e.dtype, name: e.name + "_input" });e.apply(i);
+      }if (r) this.outputs = t.outputs, this.inputs = t.inputs;else {
+        if (1 !== e.inboundNodes.length) throw new ValueError("A layer added to a Sequential model must not already be connected somewhere else. Model received layer " + e.name + " which has " + e.inboundNodes.length + " pre-existing inbound connections.");if (1 !== e.inboundNodes[0].outputTensors.length) throw new ValueError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.outputs = [e.inboundNodes[0].outputTensors[0]], this.inputs = getSourceInputs(this.outputs[0]);
+      }this.inboundNodes = [], new Node({ outboundLayer: this, inboundLayers: [], nodeIndices: [], tensorIndices: [], inputTensors: this.inputs, outputTensors: this.outputs, inputMasks: pyListRepeat(null, this.inputs.length), outputMasks: [null], inputShapes: this.inputs.map(function (e) {
+          return e.shape;
+        }), outputShapes: this.outputs[0].shape });
+    } else {
+      var a = e.apply(this.outputs[0]);if (Array.isArray(a)) throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.outputs = [a], this.inboundNodes[0].outputTensors = this.outputs, this.inboundNodes[0].outputShapes = [this.outputs[0].shape];
+    }this.layers.push(e), this.built = !1;
+  }, t.prototype.pop = function () {
+    if (0 === this.layers.length) throw new TypeError("There are no layers in the model.");if (this.layers.pop(), 0 === this.layers.length) this.outputs = [], this.inboundNodes = [], this.outboundNodes = [];else {
+      var e = this.layers.length - 1;this.layers[e].outboundNodes = [], this.outputs = [this.layers[e].output], this.inboundNodes[0].outputTensors = this.outputs, this.inboundNodes[0].outputShapes = [this.outputs[0].shape];
+    }
+  }, t.prototype.call = function (e, t) {
+    return null == this.model && this.build(), this.model.call(e, t);
+  }, t.prototype.build = function (e) {
+    if (getExactlyOneShape(e), 0 === this.inputs.length || 0 === this.outputs.length) throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model = new Model({ inputs: this.inputs, outputs: this.outputs[0], name: this.name + "_model" }), this.model.trainable = this.trainable, this.model.updatable = this.updatable, this.supportsMasking = this.model.supportsMasking, this.inputLayers = this.model.inputLayers, this.inputLayersNodeIndices = this.model.inputLayersNodeIndices, this.inputLayersTensorIndices = this.model.inputLayersTensorIndices, this.outputLayers = this.model.outputLayers, this.outputLayersNodeIndices = this.model.outputLayersNodeIndices, this.outputLayersTensorIndices = this.model.outputLayersTensorIndices, this.nodesByDepth = this.model.nodesByDepth, this.containerNodes = this.model.containerNodes, this.outputNames = this.model.outputNames, this.inputNames = this.model.inputNames, this.built = !0;
+  }, t.prototype.countParams = function () {
+    return this.built || this.build(), e.prototype.countParams.call(this);
+  }, t.prototype.summary = function (t, n, r) {
+    void 0 === r && (r = console.log), this.built || this.build(), e.prototype.summary.call(this, t, n, r);
+  }, t.prototype.setWeights = function (e) {
+    null == this.model && this.build(), this.model.setWeights(e);
+  }, Object.defineProperty(t.prototype, "updatable", { get: function () {
+      return this._updatable;
+    }, set: function (e) {
+      this.built && (this.model.updatable = e), this._updatable = e;
+    }, enumerable: !0, configurable: !0 }), t.prototype.evaluate = function (e, t, n) {
+    if (void 0 === n && (n = {}), !this.built) throw new RuntimeError("The model needs to be compiled before being used.");return this.model.evaluate(e, t, n);
+  }, t.prototype.predict = function (e, t) {
+    return void 0 === t && (t = {}), null == this.model && this.build(), this.model.predict(e, t);
+  }, t.prototype.predictOnBatch = function (e) {
+    return null == this.model && this.build(), this.model.predictOnBatch(e);
+  }, t.prototype.compile = function (e) {
+    this.build(), this.model.compile(e), this.optimizer = this.model.optimizer, this.loss = this.model.loss, this.metrics = this.model.metrics, this.metricsTensors = this.model.metricsTensors, this.metricsNames = this.model.metricsNames;
+  }, t.prototype.fit = function (e, t, n) {
+    return void 0 === n && (n = {}), __awaiter(this, void 0, void 0, function () {
+      return __generator(this, function (r) {
+        if (!this.built) throw new RuntimeError("The model needs to be compiled before being used.");return [2, this.model.fit(e, t, n)];
+      });
+    });
+  }, t.fromConfig = function (e, t) {
+    var r = new e({});if (!(r instanceof n)) throw new ValueError("Sequential.fromConfig called on non-Sequential input: " + r);if (!(t instanceof Array)) throw new ValueError("Sequential.fromConfig called without an array of configs");if (null == t[0].className || "Merge" === t[0].className) throw new ValueError("Legacy serialization format not supported yet.");for (var i = 0, a = t; i < a.length; i++) {
+      var o = deserialize(a[i]);r.add(o);
+    }return r;
+  }, t.prototype.getConfig = function () {
+    for (var e = [], t = 0, n = this.layers; t < n.length; t++) {
+      var r = n[t];e.push({ className: r.getClassName(), config: r.getConfig() });
+    }return e;
+  }, t.className = "Sequential", __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t.prototype, "add", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t.prototype, "summary", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [2] })], t.prototype, "evaluate", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [1] })], t.prototype, "predict", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes", configParamIndices: [2] })], t.prototype, "fit", null), t = n = __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Classes" })], t);var n;
+}(Model);_tfjsCore.serialization.SerializationMap.register(Sequential);var ModelExports = function () {
+  function e() {}return e.model = function (e) {
+    return new Model(e);
+  }, e.sequential = function (e) {
+    return new Sequential(e);
+  }, e.loadModel = function (e) {
+    return loadModelInternal(e);
+  }, e.input = function (e) {
+    return Input(e);
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Creation", configParamIndices: [0] })], e, "model", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Creation", configParamIndices: [0] })], e, "sequential", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Loading", useDocsFrom: "loadModelInternal" })], e, "loadModel", null), __decorate([(0, _tfjsCore.doc)({ heading: "Models", subheading: "Inputs", useDocsFrom: "Input", configParamIndices: [0] })], e, "input", null), e;
+}(),
+    LayerExports = function () {
+  function e() {}return e.inputLayer = function (e) {
+    return new InputLayer(e);
+  }, e.elu = function (e) {
+    return new ELU(e);
+  }, e.leakyReLU = function (e) {
+    return new LeakyReLU(e);
+  }, e.softmax = function (e) {
+    return new Softmax$1(e);
+  }, e.thresholdedReLU = function (e) {
+    return new ThresholdedReLU(e);
+  }, e.conv1d = function (e) {
+    return new Conv1D(e);
+  }, e.conv2d = function (e) {
+    return new Conv2D(e);
+  }, e.conv2dTranspose = function (e) {
+    return new Conv2DTranspose(e);
+  }, e.separableConv2d = function (e) {
+    return new SeparableConv2D(e);
+  }, e.cropping2D = function (e) {
+    return new Cropping2D(e);
+  }, e.upSampling2d = function (e) {
+    return new UpSampling2D(e);
+  }, e.depthwiseConv2d = function (e) {
+    return new DepthwiseConv2D(e);
+  }, e.activation = function (e) {
+    return new Activation$1(e);
+  }, e.dense = function (e) {
+    return new Dense(e);
+  }, e.dropout = function (e) {
+    return new Dropout(e);
+  }, e.flatten = function (e) {
+    return new Flatten(e);
+  }, e.repeatVector = function (e) {
+    return new RepeatVector(e);
+  }, e.reshape = function (e) {
+    return new Reshape(e);
+  }, e.embedding = function (e) {
+    return new Embedding(e);
+  }, e.add = function (e) {
+    return new Add(e);
+  }, e.average = function (e) {
+    return new Average(e);
+  }, e.concatenate = function (e) {
+    return new Concatenate(e);
+  }, e.maximum = function (e) {
+    return new Maximum(e);
+  }, e.minimum = function (e) {
+    return new Minimum(e);
+  }, e.multiply = function (e) {
+    return new Multiply(e);
+  }, e.batchNormalization = function (e) {
+    return new BatchNormalization(e);
+  }, e.zeroPadding2d = function (e) {
+    return new ZeroPadding2D(e);
+  }, e.averagePooling1d = function (e) {
+    return new AveragePooling1D(e);
+  }, e.avgPool1d = function (t) {
+    return e.averagePooling1d(t);
+  }, e.avgPooling1d = function (t) {
+    return e.averagePooling1d(t);
+  }, e.averagePooling2d = function (e) {
+    return new AveragePooling2D(e);
+  }, e.avgPool2d = function (t) {
+    return e.averagePooling2d(t);
+  }, e.avgPooling2d = function (t) {
+    return e.averagePooling2d(t);
+  }, e.globalAveragePooling1d = function (e) {
+    return new GlobalAveragePooling1D(e);
+  }, e.globalAveragePooling2d = function (e) {
+    return new GlobalAveragePooling2D(e);
+  }, e.globalMaxPooling1d = function (e) {
+    return new GlobalMaxPooling1D(e);
+  }, e.globalMaxPooling2d = function (e) {
+    return new GlobalMaxPooling2D(e);
+  }, e.maxPooling1d = function (e) {
+    return new MaxPooling1D(e);
+  }, e.maxPooling2d = function (e) {
+    return new MaxPooling2D(e);
+  }, e.gru = function (e) {
+    return new GRU(e);
+  }, e.gruCell = function (e) {
+    return new GRUCell(e);
+  }, e.lstm = function (e) {
+    return new LSTM(e);
+  }, e.lstmCell = function (e) {
+    return new LSTMCell(e);
+  }, e.simpleRNN = function (e) {
+    return new SimpleRNN(e);
+  }, e.simpleRNNCell = function (e) {
+    return new SimpleRNNCell(e);
+  }, e.rnn = function (e) {
+    return new RNN(e);
+  }, e.stackedRNNCells = function (e) {
+    return new StackedRNNCells(e);
+  }, e.bidirectional = function (e) {
+    return new Bidirectional(e);
+  }, e.timeDistributed = function (e) {
+    return new TimeDistributed(e);
+  }, e.Layer = Layer, e.RNN = RNN, e.RNNCell = RNNCell, e.input = ModelExports.input, __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Inputs", namespace: "layers", useDocsFrom: "InputLayer", configParamIndices: [0] })], e, "inputLayer", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Advanced Activation", namespace: "layers", useDocsFrom: "ELU", configParamIndices: [0] })], e, "elu", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Advanced Activation", namespace: "layers", useDocsFrom: "LeakyReLU", configParamIndices: [0] })], e, "leakyReLU", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Advanced Activation", namespace: "layers", useDocsFrom: "Softmax", configParamIndices: [0] })], e, "softmax", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Advanced Activation", namespace: "layers", useDocsFrom: "ThresholdedReLU", configParamIndices: [0] })], e, "thresholdedReLU", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "Conv1D", configParamIndices: [0] })], e, "conv1d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "Conv2D", configParamIndices: [0] })], e, "conv2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "Conv2DTranspose", configParamIndices: [0] })], e, "conv2dTranspose", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "SeparableConv2D", configParamIndices: [0] })], e, "separableConv2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "Cropping2D", configParamIndices: [0] })], e, "cropping2D", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "UpSampling2D", configParamIndices: [0] })], e, "upSampling2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Convolutional", namespace: "layers", useDocsFrom: "DepthwiseConv2D", configParamIndices: [0] })], e, "depthwiseConv2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Activation", configParamIndices: [0] })], e, "activation", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Dense", configParamIndices: [0] })], e, "dense", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Dropout", configParamIndices: [0] })], e, "dropout", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Flatten", configParamIndices: [0] })], e, "flatten", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "RepeatVector", configParamIndices: [0] })], e, "repeatVector", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Reshape", configParamIndices: [0] })], e, "reshape", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Basic", namespace: "layers", useDocsFrom: "Embedding", configParamIndices: [0] })], e, "embedding", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Add", configParamIndices: [0] })], e, "add", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Average", configParamIndices: [0] })], e, "average", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Concatenate", configParamIndices: [0] })], e, "concatenate", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Maximum", configParamIndices: [0] })], e, "maximum", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Minimum", configParamIndices: [0] })], e, "minimum", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Merge", namespace: "layers", useDocsFrom: "Multiply", configParamIndices: [0] })], e, "multiply", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Normalization", namespace: "layers", useDocsFrom: "BatchNormalization", configParamIndices: [0] })], e, "batchNormalization", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Padding", namespace: "layers", useDocsFrom: "ZeroPadding2D", configParamIndices: [0] })], e, "zeroPadding2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "AveragePooling1D", configParamIndices: [0] })], e, "averagePooling1d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "AveragePooling2D", configParamIndices: [0] })], e, "averagePooling2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "GlobalAveragePooling1D", configParamIndices: [0] })], e, "globalAveragePooling1d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "GlobalAveragePooling2D", configParamIndices: [0] })], e, "globalAveragePooling2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "GlobalMaxPooling1D", configParamIndices: [0] })], e, "globalMaxPooling1d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "GlobalMaxPooling2D", configParamIndices: [0] })], e, "globalMaxPooling2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "MaxPooling1D", configParamIndices: [0] })], e, "maxPooling1d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Pooling", namespace: "layers", useDocsFrom: "MaxPooling2D", configParamIndices: [0] })], e, "maxPooling2d", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "GRU", configParamIndices: [0] })], e, "gru", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "GRUCell", configParamIndices: [0] })], e, "gruCell", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "LSTM", configParamIndices: [0] })], e, "lstm", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "LSTMCell", configParamIndices: [0] })], e, "lstmCell", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "SimpleRNN", configParamIndices: [0] })], e, "simpleRNN", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "SimpleRNNCell", configParamIndices: [0] })], e, "simpleRNNCell", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "RNN", configParamIndices: [0] })], e, "rnn", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Recurrent", namespace: "layers", useDocsFrom: "RNN", configParamIndices: [0] })], e, "stackedRNNCells", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Wrapper", namespace: "layers", useDocsFrom: "Bidirectional", configParamIndices: [0] })], e, "bidirectional", null), __decorate([(0, _tfjsCore.doc)({ heading: "Layers", subheading: "Wrapper", namespace: "layers", useDocsFrom: "TimeDistributed", configParamIndices: [0] })], e, "timeDistributed", null), e;
+}(),
+    ConstraintExports = function () {
+  function e() {}return e.maxNorm = function (e) {
+    return new MaxNorm(e);
+  }, e.unitNorm = function (e) {
+    return new UnitNorm(e);
+  }, e.nonNeg = function () {
+    return new NonNeg();
+  }, e.minMaxNorm = function (e) {
+    return new MinMaxNorm(e);
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Constraints", namespace: "constraints", useDocsFrom: "MaxNorm", configParamIndices: [0] })], e, "maxNorm", null), __decorate([(0, _tfjsCore.doc)({ heading: "Constraints", namespace: "constraints", useDocsFrom: "UnitNorm", configParamIndices: [0] })], e, "unitNorm", null), __decorate([(0, _tfjsCore.doc)({ heading: "Constraints", namespace: "constraints", useDocsFrom: "NonNeg" })], e, "nonNeg", null), __decorate([(0, _tfjsCore.doc)({ heading: "Constraints", namespace: "constraints", useDocsFrom: "MinMaxNormConfig", configParamIndices: [0] })], e, "minMaxNorm", null), e;
+}(),
+    InitializerExports = function () {
+  function e() {}return e.zeros = function () {
+    return new Zeros();
+  }, e.ones = function () {
+    return new Ones();
+  }, e.constant = function (e) {
+    return new Constant(e);
+  }, e.randomUniform = function (e) {
+    return new RandomUniform(e);
+  }, e.randomNormal = function (e) {
+    return new RandomNormal(e);
+  }, e.truncatedNormal = function (e) {
+    return new TruncatedNormal(e);
+  }, e.identity = function (e) {
+    return new Identity(e);
+  }, e.varianceScaling = function (e) {
+    return new VarianceScaling(e);
+  }, e.glorotUniform = function (e) {
+    return new GlorotUniform(e);
+  }, e.glorotNormal = function (e) {
+    return new GlorotNormal(e);
+  }, e.heNormal = function (e) {
+    return new HeNormal(e);
+  }, e.leCunNormal = function (e) {
+    return new LeCunNormal(e);
+  }, e.orthogonal = function (e) {
+    return new Orthogonal(e);
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "Zeros" })], e, "zeros", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "Ones" })], e, "ones", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "Constant", configParamIndices: [0] })], e, "constant", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "RandomUniform", configParamIndices: [0] })], e, "randomUniform", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "RandomNormal", configParamIndices: [0] })], e, "randomNormal", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "TruncatedNormal", configParamIndices: [0] })], e, "truncatedNormal", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "Identity", configParamIndices: [0] })], e, "identity", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "VarianceScaling", configParamIndices: [0] })], e, "varianceScaling", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "GlorotUniform", configParamIndices: [0] })], e, "glorotUniform", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "GlorotNormal", configParamIndices: [0] })], e, "glorotNormal", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "HeNormal", configParamIndices: [0] })], e, "heNormal", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "LeCunNormal", configParamIndices: [0] })], e, "leCunNormal", null), __decorate([(0, _tfjsCore.doc)({ heading: "Initializers", namespace: "initializers", useDocsFrom: "Orthogonal", configParamIndices: [0] })], e, "orthogonal", null), e;
+}(),
+    MetricExports = function () {
+  function e() {}return e.binaryAccuracy = function (e, t) {
+    return binaryAccuracy(e, t);
+  }, e.binaryCrossentropy = function (e, t) {
+    return binaryCrossentropy$1(e, t);
+  }, e.categoricalAccuracy = function (e, t) {
+    return categoricalAccuracy(e, t);
+  }, e.categoricalCrossentropy = function (e, t) {
+    return categoricalCrossentropy(e, t);
+  }, e.cosineProximity = function (e, t) {
+    return cosineProximity(e, t);
+  }, e.prototype.meanAbsoluteError = function (e, t) {
+    return meanAbsoluteError(e, t);
+  }, e.prototype.meanAbsolutePercentageError = function (e, t) {
+    return meanAbsolutePercentageError(e, t);
+  }, e.prototype.MAPE = function (e, t) {
+    return meanAbsolutePercentageError(e, t);
+  }, e.prototype.mape = function (e, t) {
+    return meanAbsolutePercentageError(e, t);
+  }, e.meanSquaredError = function (e, t) {
+    return meanSquaredError(e, t);
+  }, e.MSE = function (e, t) {
+    return meanSquaredError(e, t);
+  }, e.mse = function (e, t) {
+    return meanSquaredError(e, t);
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "meanAbsoluteError" })], e.prototype, "meanAbsoluteError", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "meanAbsolutePercentageError" })], e.prototype, "meanAbsolutePercentageError", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "binaryAccuracy" })], e, "binaryAccuracy", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "binaryCrossentropy" })], e, "binaryCrossentropy", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "categoricalAccuracy" })], e, "categoricalAccuracy", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "categoricalCrossentropy" })], e, "categoricalCrossentropy", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "cosineProximity" })], e, "cosineProximity", null), __decorate([(0, _tfjsCore.doc)({ heading: "Metrics", namespace: "metrics", useDocsFrom: "meanSquaredError" })], e, "meanSquaredError", null), e;
+}(),
+    RegularizerExports = function () {
+  function e() {}return e.l1l2 = function (e) {
+    return new L1L2(e);
+  }, e.l1 = function (e) {
+    return l1(e);
+  }, e.l2 = function (e) {
+    return l2(e);
+  }, __decorate([(0, _tfjsCore.doc)({ heading: "Regularizers", namespace: "regularizers", useDocsFrom: "L1L2", configParamIndices: [0] })], e, "l1l2", null), __decorate([(0, _tfjsCore.doc)({ heading: "Regularizers", namespace: "regularizers", useDocsFrom: "L1L2", configParamIndices: [0] })], e, "l1", null), __decorate([(0, _tfjsCore.doc)({ heading: "Regularizers", namespace: "regularizers", useDocsFrom: "L1L2", configParamIndices: [0] })], e, "l2", null), e;
+}(),
+    model = ModelExports.model,
+    sequential = ModelExports.sequential,
+    loadModel = ModelExports.loadModel,
+    input = ModelExports.input,
+    layers = LayerExports,
+    constraints = ConstraintExports,
+    initializers = InitializerExports,
+    metrics = MetricExports,
+    regularizers = RegularizerExports;exports.model = model;
+exports.sequential = sequential;
+exports.loadModel = loadModel;
+exports.input = input;
+exports.layers = layers;
+exports.constraints = constraints;
+exports.initializers = initializers;
+exports.metrics = metrics;
+exports.regularizers = regularizers;
+exports.Callback = Callback;
+exports.CallbackList = CallbackList;
+exports.CustomCallback = CustomCallback;
+exports.Model = Model;
+exports.RNN = RNN;
+exports.Sequential = Sequential;
+exports.SymbolicTensor = SymbolicTensor;
+exports.version_layers = version;
+},{"@tensorflow/tfjs-core":8}],19:[function(require,module,exports) {
+var global = arguments[3];
+var define;
+/*! https://mths.be/punycode v1.4.1 by @mathias */
+;(function(root) {
+
+	/** Detect free variables */
+	var freeExports = typeof exports == 'object' && exports &&
+		!exports.nodeType && exports;
+	var freeModule = typeof module == 'object' && module &&
+		!module.nodeType && module;
+	var freeGlobal = typeof global == 'object' && global;
+	if (
+		freeGlobal.global === freeGlobal ||
+		freeGlobal.window === freeGlobal ||
+		freeGlobal.self === freeGlobal
+	) {
+		root = freeGlobal;
+	}
+
+	/**
+	 * The `punycode` object.
+	 * @name punycode
+	 * @type Object
+	 */
+	var punycode,
+
+	/** Highest positive signed 32-bit float value */
+	maxInt = 2147483647, // aka. 0x7FFFFFFF or 2^31-1
+
+	/** Bootstring parameters */
+	base = 36,
+	tMin = 1,
+	tMax = 26,
+	skew = 38,
+	damp = 700,
+	initialBias = 72,
+	initialN = 128, // 0x80
+	delimiter = '-', // '\x2D'
+
+	/** Regular expressions */
+	regexPunycode = /^xn--/,
+	regexNonASCII = /[^\x20-\x7E]/, // unprintable ASCII chars + non-ASCII chars
+	regexSeparators = /[\x2E\u3002\uFF0E\uFF61]/g, // RFC 3490 separators
+
+	/** Error messages */
+	errors = {
+		'overflow': 'Overflow: input needs wider integers to process',
+		'not-basic': 'Illegal input >= 0x80 (not a basic code point)',
+		'invalid-input': 'Invalid input'
+	},
+
+	/** Convenience shortcuts */
+	baseMinusTMin = base - tMin,
+	floor = Math.floor,
+	stringFromCharCode = String.fromCharCode,
+
+	/** Temporary variable */
+	key;
+
+	/*--------------------------------------------------------------------------*/
+
+	/**
+	 * A generic error utility function.
+	 * @private
+	 * @param {String} type The error type.
+	 * @returns {Error} Throws a `RangeError` with the applicable error message.
+	 */
+	function error(type) {
+		throw new RangeError(errors[type]);
+	}
+
+	/**
+	 * A generic `Array#map` utility function.
+	 * @private
+	 * @param {Array} array The array to iterate over.
+	 * @param {Function} callback The function that gets called for every array
+	 * item.
+	 * @returns {Array} A new array of values returned by the callback function.
+	 */
+	function map(array, fn) {
+		var length = array.length;
+		var result = [];
+		while (length--) {
+			result[length] = fn(array[length]);
+		}
+		return result;
+	}
+
+	/**
+	 * A simple `Array#map`-like wrapper to work with domain name strings or email
+	 * addresses.
+	 * @private
+	 * @param {String} domain The domain name or email address.
+	 * @param {Function} callback The function that gets called for every
+	 * character.
+	 * @returns {Array} A new string of characters returned by the callback
+	 * function.
+	 */
+	function mapDomain(string, fn) {
+		var parts = string.split('@');
+		var result = '';
+		if (parts.length > 1) {
+			// In email addresses, only the domain name should be punycoded. Leave
+			// the local part (i.e. everything up to `@`) intact.
+			result = parts[0] + '@';
+			string = parts[1];
+		}
+		// Avoid `split(regex)` for IE8 compatibility. See #17.
+		string = string.replace(regexSeparators, '\x2E');
+		var labels = string.split('.');
+		var encoded = map(labels, fn).join('.');
+		return result + encoded;
+	}
+
+	/**
+	 * Creates an array containing the numeric code points of each Unicode
+	 * character in the string. While JavaScript uses UCS-2 internally,
+	 * this function will convert a pair of surrogate halves (each of which
+	 * UCS-2 exposes as separate characters) into a single code point,
+	 * matching UTF-16.
+	 * @see `punycode.ucs2.encode`
+	 * @see <https://mathiasbynens.be/notes/javascript-encoding>
+	 * @memberOf punycode.ucs2
+	 * @name decode
+	 * @param {String} string The Unicode input string (UCS-2).
+	 * @returns {Array} The new array of code points.
+	 */
+	function ucs2decode(string) {
+		var output = [],
+		    counter = 0,
+		    length = string.length,
+		    value,
+		    extra;
+		while (counter < length) {
+			value = string.charCodeAt(counter++);
+			if (value >= 0xD800 && value <= 0xDBFF && counter < length) {
+				// high surrogate, and there is a next character
+				extra = string.charCodeAt(counter++);
+				if ((extra & 0xFC00) == 0xDC00) { // low surrogate
+					output.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000);
+				} else {
+					// unmatched surrogate; only append this code unit, in case the next
+					// code unit is the high surrogate of a surrogate pair
+					output.push(value);
+					counter--;
+				}
+			} else {
+				output.push(value);
+			}
+		}
+		return output;
+	}
+
+	/**
+	 * Creates a string based on an array of numeric code points.
+	 * @see `punycode.ucs2.decode`
+	 * @memberOf punycode.ucs2
+	 * @name encode
+	 * @param {Array} codePoints The array of numeric code points.
+	 * @returns {String} The new Unicode string (UCS-2).
+	 */
+	function ucs2encode(array) {
+		return map(array, function(value) {
+			var output = '';
+			if (value > 0xFFFF) {
+				value -= 0x10000;
+				output += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800);
+				value = 0xDC00 | value & 0x3FF;
+			}
+			output += stringFromCharCode(value);
+			return output;
+		}).join('');
+	}
+
+	/**
+	 * Converts a basic code point into a digit/integer.
+	 * @see `digitToBasic()`
+	 * @private
+	 * @param {Number} codePoint The basic numeric code point value.
+	 * @returns {Number} The numeric value of a basic code point (for use in
+	 * representing integers) in the range `0` to `base - 1`, or `base` if
+	 * the code point does not represent a value.
+	 */
+	function basicToDigit(codePoint) {
+		if (codePoint - 48 < 10) {
+			return codePoint - 22;
+		}
+		if (codePoint - 65 < 26) {
+			return codePoint - 65;
+		}
+		if (codePoint - 97 < 26) {
+			return codePoint - 97;
+		}
+		return base;
+	}
+
+	/**
+	 * Converts a digit/integer into a basic code point.
+	 * @see `basicToDigit()`
+	 * @private
+	 * @param {Number} digit The numeric value of a basic code point.
+	 * @returns {Number} The basic code point whose value (when used for
+	 * representing integers) is `digit`, which needs to be in the range
+	 * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is
+	 * used; else, the lowercase form is used. The behavior is undefined
+	 * if `flag` is non-zero and `digit` has no uppercase form.
+	 */
+	function digitToBasic(digit, flag) {
+		//  0..25 map to ASCII a..z or A..Z
+		// 26..35 map to ASCII 0..9
+		return digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5);
+	}
+
+	/**
+	 * Bias adaptation function as per section 3.4 of RFC 3492.
+	 * https://tools.ietf.org/html/rfc3492#section-3.4
+	 * @private
+	 */
+	function adapt(delta, numPoints, firstTime) {
+		var k = 0;
+		delta = firstTime ? floor(delta / damp) : delta >> 1;
+		delta += floor(delta / numPoints);
+		for (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) {
+			delta = floor(delta / baseMinusTMin);
+		}
+		return floor(k + (baseMinusTMin + 1) * delta / (delta + skew));
+	}
+
+	/**
+	 * Converts a Punycode string of ASCII-only symbols to a string of Unicode
+	 * symbols.
+	 * @memberOf punycode
+	 * @param {String} input The Punycode string of ASCII-only symbols.
+	 * @returns {String} The resulting string of Unicode symbols.
+	 */
+	function decode(input) {
+		// Don't use UCS-2
+		var output = [],
+		    inputLength = input.length,
+		    out,
+		    i = 0,
+		    n = initialN,
+		    bias = initialBias,
+		    basic,
+		    j,
+		    index,
+		    oldi,
+		    w,
+		    k,
+		    digit,
+		    t,
+		    /** Cached calculation results */
+		    baseMinusT;
+
+		// Handle the basic code points: let `basic` be the number of input code
+		// points before the last delimiter, or `0` if there is none, then copy
+		// the first basic code points to the output.
+
+		basic = input.lastIndexOf(delimiter);
+		if (basic < 0) {
+			basic = 0;
+		}
+
+		for (j = 0; j < basic; ++j) {
+			// if it's not a basic code point
+			if (input.charCodeAt(j) >= 0x80) {
+				error('not-basic');
+			}
+			output.push(input.charCodeAt(j));
+		}
+
+		// Main decoding loop: start just after the last delimiter if any basic code
+		// points were copied; start at the beginning otherwise.
+
+		for (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) {
+
+			// `index` is the index of the next character to be consumed.
+			// Decode a generalized variable-length integer into `delta`,
+			// which gets added to `i`. The overflow checking is easier
+			// if we increase `i` as we go, then subtract off its starting
+			// value at the end to obtain `delta`.
+			for (oldi = i, w = 1, k = base; /* no condition */; k += base) {
+
+				if (index >= inputLength) {
+					error('invalid-input');
+				}
+
+				digit = basicToDigit(input.charCodeAt(index++));
+
+				if (digit >= base || digit > floor((maxInt - i) / w)) {
+					error('overflow');
+				}
+
+				i += digit * w;
+				t = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);
+
+				if (digit < t) {
+					break;
+				}
+
+				baseMinusT = base - t;
+				if (w > floor(maxInt / baseMinusT)) {
+					error('overflow');
+				}
+
+				w *= baseMinusT;
+
+			}
+
+			out = output.length + 1;
+			bias = adapt(i - oldi, out, oldi == 0);
+
+			// `i` was supposed to wrap around from `out` to `0`,
+			// incrementing `n` each time, so we'll fix that now:
+			if (floor(i / out) > maxInt - n) {
+				error('overflow');
+			}
+
+			n += floor(i / out);
+			i %= out;
+
+			// Insert `n` at position `i` of the output
+			output.splice(i++, 0, n);
+
+		}
+
+		return ucs2encode(output);
+	}
+
+	/**
+	 * Converts a string of Unicode symbols (e.g. a domain name label) to a
+	 * Punycode string of ASCII-only symbols.
+	 * @memberOf punycode
+	 * @param {String} input The string of Unicode symbols.
+	 * @returns {String} The resulting Punycode string of ASCII-only symbols.
+	 */
+	function encode(input) {
+		var n,
+		    delta,
+		    handledCPCount,
+		    basicLength,
+		    bias,
+		    j,
+		    m,
+		    q,
+		    k,
+		    t,
+		    currentValue,
+		    output = [],
+		    /** `inputLength` will hold the number of code points in `input`. */
+		    inputLength,
+		    /** Cached calculation results */
+		    handledCPCountPlusOne,
+		    baseMinusT,
+		    qMinusT;
+
+		// Convert the input in UCS-2 to Unicode
+		input = ucs2decode(input);
+
+		// Cache the length
+		inputLength = input.length;
+
+		// Initialize the state
+		n = initialN;
+		delta = 0;
+		bias = initialBias;
+
+		// Handle the basic code points
+		for (j = 0; j < inputLength; ++j) {
+			currentValue = input[j];
+			if (currentValue < 0x80) {
+				output.push(stringFromCharCode(currentValue));
+			}
+		}
+
+		handledCPCount = basicLength = output.length;
+
+		// `handledCPCount` is the number of code points that have been handled;
+		// `basicLength` is the number of basic code points.
+
+		// Finish the basic string - if it is not empty - with a delimiter
+		if (basicLength) {
+			output.push(delimiter);
+		}
+
+		// Main encoding loop:
+		while (handledCPCount < inputLength) {
+
+			// All non-basic code points < n have been handled already. Find the next
+			// larger one:
+			for (m = maxInt, j = 0; j < inputLength; ++j) {
+				currentValue = input[j];
+				if (currentValue >= n && currentValue < m) {
+					m = currentValue;
+				}
+			}
+
+			// Increase `delta` enough to advance the decoder's <n,i> state to <m,0>,
+			// but guard against overflow
+			handledCPCountPlusOne = handledCPCount + 1;
+			if (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) {
+				error('overflow');
+			}
+
+			delta += (m - n) * handledCPCountPlusOne;
+			n = m;
+
+			for (j = 0; j < inputLength; ++j) {
+				currentValue = input[j];
+
+				if (currentValue < n && ++delta > maxInt) {
+					error('overflow');
+				}
+
+				if (currentValue == n) {
+					// Represent delta as a generalized variable-length integer
+					for (q = delta, k = base; /* no condition */; k += base) {
+						t = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);
+						if (q < t) {
+							break;
+						}
+						qMinusT = q - t;
+						baseMinusT = base - t;
+						output.push(
+							stringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0))
+						);
+						q = floor(qMinusT / baseMinusT);
+					}
+
+					output.push(stringFromCharCode(digitToBasic(q, 0)));
+					bias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength);
+					delta = 0;
+					++handledCPCount;
+				}
+			}
+
+			++delta;
+			++n;
+
+		}
+		return output.join('');
+	}
+
+	/**
+	 * Converts a Punycode string representing a domain name or an email address
+	 * to Unicode. Only the Punycoded parts of the input will be converted, i.e.
+	 * it doesn't matter if you call it on a string that has already been
+	 * converted to Unicode.
+	 * @memberOf punycode
+	 * @param {String} input The Punycoded domain name or email address to
+	 * convert to Unicode.
+	 * @returns {String} The Unicode representation of the given Punycode
+	 * string.
+	 */
+	function toUnicode(input) {
+		return mapDomain(input, function(string) {
+			return regexPunycode.test(string)
+				? decode(string.slice(4).toLowerCase())
+				: string;
+		});
+	}
+
+	/**
+	 * Converts a Unicode string representing a domain name or an email address to
+	 * Punycode. Only the non-ASCII parts of the domain name will be converted,
+	 * i.e. it doesn't matter if you call it with a domain that's already in
+	 * ASCII.
+	 * @memberOf punycode
+	 * @param {String} input The domain name or email address to convert, as a
+	 * Unicode string.
+	 * @returns {String} The Punycode representation of the given domain name or
+	 * email address.
+	 */
+	function toASCII(input) {
+		return mapDomain(input, function(string) {
+			return regexNonASCII.test(string)
+				? 'xn--' + encode(string)
+				: string;
+		});
+	}
+
+	/*--------------------------------------------------------------------------*/
+
+	/** Define the public API */
+	punycode = {
+		/**
+		 * A string representing the current Punycode.js version number.
+		 * @memberOf punycode
+		 * @type String
+		 */
+		'version': '1.4.1',
+		/**
+		 * An object of methods to convert from JavaScript's internal character
+		 * representation (UCS-2) to Unicode code points, and back.
+		 * @see <https://mathiasbynens.be/notes/javascript-encoding>
+		 * @memberOf punycode
+		 * @type Object
+		 */
+		'ucs2': {
+			'decode': ucs2decode,
+			'encode': ucs2encode
+		},
+		'decode': decode,
+		'encode': encode,
+		'toASCII': toASCII,
+		'toUnicode': toUnicode
+	};
+
+	/** Expose `punycode` */
+	// Some AMD build optimizers, like r.js, check for specific condition patterns
+	// like the following:
+	if (
+		typeof define == 'function' &&
+		typeof define.amd == 'object' &&
+		define.amd
+	) {
+		define('punycode', function() {
+			return punycode;
+		});
+	} else if (freeExports && freeModule) {
+		if (module.exports == freeExports) {
+			// in Node.js, io.js, or RingoJS v0.8.0+
+			freeModule.exports = punycode;
+		} else {
+			// in Narwhal or RingoJS v0.7.0-
+			for (key in punycode) {
+				punycode.hasOwnProperty(key) && (freeExports[key] = punycode[key]);
+			}
+		}
+	} else {
+		// in Rhino or a web browser
+		root.punycode = punycode;
+	}
+
+}(this));
+
+},{}],17:[function(require,module,exports) {
+'use strict';
+
+module.exports = {
+  isString: function(arg) {
+    return typeof(arg) === 'string';
+  },
+  isObject: function(arg) {
+    return typeof(arg) === 'object' && arg !== null;
+  },
+  isNull: function(arg) {
+    return arg === null;
+  },
+  isNullOrUndefined: function(arg) {
+    return arg == null;
+  }
+};
+
+},{}],20:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+'use strict';
+
+// If obj.hasOwnProperty has been overridden, then calling
+// obj.hasOwnProperty(prop) will break.
+// See: https://github.com/joyent/node/issues/1707
+
+function hasOwnProperty(obj, prop) {
+  return Object.prototype.hasOwnProperty.call(obj, prop);
+}
+
+module.exports = function (qs, sep, eq, options) {
+  sep = sep || '&';
+  eq = eq || '=';
+  var obj = {};
+
+  if (typeof qs !== 'string' || qs.length === 0) {
+    return obj;
+  }
+
+  var regexp = /\+/g;
+  qs = qs.split(sep);
+
+  var maxKeys = 1000;
+  if (options && typeof options.maxKeys === 'number') {
+    maxKeys = options.maxKeys;
+  }
+
+  var len = qs.length;
+  // maxKeys <= 0 means that we should not limit keys count
+  if (maxKeys > 0 && len > maxKeys) {
+    len = maxKeys;
+  }
+
+  for (var i = 0; i < len; ++i) {
+    var x = qs[i].replace(regexp, '%20'),
+        idx = x.indexOf(eq),
+        kstr,
+        vstr,
+        k,
+        v;
+
+    if (idx >= 0) {
+      kstr = x.substr(0, idx);
+      vstr = x.substr(idx + 1);
+    } else {
+      kstr = x;
+      vstr = '';
+    }
+
+    k = decodeURIComponent(kstr);
+    v = decodeURIComponent(vstr);
+
+    if (!hasOwnProperty(obj, k)) {
+      obj[k] = v;
+    } else if (isArray(obj[k])) {
+      obj[k].push(v);
+    } else {
+      obj[k] = [obj[k], v];
+    }
+  }
+
+  return obj;
+};
+
+var isArray = Array.isArray || function (xs) {
+  return Object.prototype.toString.call(xs) === '[object Array]';
+};
+},{}],21:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+'use strict';
+
+var stringifyPrimitive = function (v) {
+  switch (typeof v) {
+    case 'string':
+      return v;
+
+    case 'boolean':
+      return v ? 'true' : 'false';
+
+    case 'number':
+      return isFinite(v) ? v : '';
+
+    default:
+      return '';
+  }
+};
+
+module.exports = function (obj, sep, eq, name) {
+  sep = sep || '&';
+  eq = eq || '=';
+  if (obj === null) {
+    obj = undefined;
+  }
+
+  if (typeof obj === 'object') {
+    return map(objectKeys(obj), function (k) {
+      var ks = encodeURIComponent(stringifyPrimitive(k)) + eq;
+      if (isArray(obj[k])) {
+        return map(obj[k], function (v) {
+          return ks + encodeURIComponent(stringifyPrimitive(v));
+        }).join(sep);
+      } else {
+        return ks + encodeURIComponent(stringifyPrimitive(obj[k]));
+      }
+    }).join(sep);
+  }
+
+  if (!name) return '';
+  return encodeURIComponent(stringifyPrimitive(name)) + eq + encodeURIComponent(stringifyPrimitive(obj));
+};
+
+var isArray = Array.isArray || function (xs) {
+  return Object.prototype.toString.call(xs) === '[object Array]';
+};
+
+function map(xs, f) {
+  if (xs.map) return xs.map(f);
+  var res = [];
+  for (var i = 0; i < xs.length; i++) {
+    res.push(f(xs[i], i));
+  }
+  return res;
+}
+
+var objectKeys = Object.keys || function (obj) {
+  var res = [];
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) res.push(key);
+  }
+  return res;
+};
+},{}],18:[function(require,module,exports) {
+'use strict';
+
+exports.decode = exports.parse = require('./decode');
+exports.encode = exports.stringify = require('./encode');
+},{"./decode":20,"./encode":21}],16:[function(require,module,exports) {
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+'use strict';
+
+var punycode = require('punycode');
+var util = require('./util');
+
+exports.parse = urlParse;
+exports.resolve = urlResolve;
+exports.resolveObject = urlResolveObject;
+exports.format = urlFormat;
+
+exports.Url = Url;
+
+function Url() {
+  this.protocol = null;
+  this.slashes = null;
+  this.auth = null;
+  this.host = null;
+  this.port = null;
+  this.hostname = null;
+  this.hash = null;
+  this.search = null;
+  this.query = null;
+  this.pathname = null;
+  this.path = null;
+  this.href = null;
+}
+
+// Reference: RFC 3986, RFC 1808, RFC 2396
+
+// define these here so at least they only have to be
+// compiled once on the first module load.
+var protocolPattern = /^([a-z0-9.+-]+:)/i,
+    portPattern = /:[0-9]*$/,
+
+    // Special case for a simple path URL
+    simplePathPattern = /^(\/\/?(?!\/)[^\?\s]*)(\?[^\s]*)?$/,
+
+    // RFC 2396: characters reserved for delimiting URLs.
+    // We actually just auto-escape these.
+    delims = ['<', '>', '"', '`', ' ', '\r', '\n', '\t'],
+
+    // RFC 2396: characters not allowed for various reasons.
+    unwise = ['{', '}', '|', '\\', '^', '`'].concat(delims),
+
+    // Allowed by RFCs, but cause of XSS attacks.  Always escape these.
+    autoEscape = ['\''].concat(unwise),
+    // Characters that are never ever allowed in a hostname.
+    // Note that any invalid chars are also handled, but these
+    // are the ones that are *expected* to be seen, so we fast-path
+    // them.
+    nonHostChars = ['%', '/', '?', ';', '#'].concat(autoEscape),
+    hostEndingChars = ['/', '?', '#'],
+    hostnameMaxLen = 255,
+    hostnamePartPattern = /^[+a-z0-9A-Z_-]{0,63}$/,
+    hostnamePartStart = /^([+a-z0-9A-Z_-]{0,63})(.*)$/,
+    // protocols that can allow "unsafe" and "unwise" chars.
+    unsafeProtocol = {
+      'javascript': true,
+      'javascript:': true
+    },
+    // protocols that never have a hostname.
+    hostlessProtocol = {
+      'javascript': true,
+      'javascript:': true
+    },
+    // protocols that always contain a // bit.
+    slashedProtocol = {
+      'http': true,
+      'https': true,
+      'ftp': true,
+      'gopher': true,
+      'file': true,
+      'http:': true,
+      'https:': true,
+      'ftp:': true,
+      'gopher:': true,
+      'file:': true
+    },
+    querystring = require('querystring');
+
+function urlParse(url, parseQueryString, slashesDenoteHost) {
+  if (url && util.isObject(url) && url instanceof Url) return url;
+
+  var u = new Url;
+  u.parse(url, parseQueryString, slashesDenoteHost);
+  return u;
+}
+
+Url.prototype.parse = function(url, parseQueryString, slashesDenoteHost) {
+  if (!util.isString(url)) {
+    throw new TypeError("Parameter 'url' must be a string, not " + typeof url);
+  }
+
+  // Copy chrome, IE, opera backslash-handling behavior.
+  // Back slashes before the query string get converted to forward slashes
+  // See: https://code.google.com/p/chromium/issues/detail?id=25916
+  var queryIndex = url.indexOf('?'),
+      splitter =
+          (queryIndex !== -1 && queryIndex < url.indexOf('#')) ? '?' : '#',
+      uSplit = url.split(splitter),
+      slashRegex = /\\/g;
+  uSplit[0] = uSplit[0].replace(slashRegex, '/');
+  url = uSplit.join(splitter);
+
+  var rest = url;
+
+  // trim before proceeding.
+  // This is to support parse stuff like "  http://foo.com  \n"
+  rest = rest.trim();
+
+  if (!slashesDenoteHost && url.split('#').length === 1) {
+    // Try fast path regexp
+    var simplePath = simplePathPattern.exec(rest);
+    if (simplePath) {
+      this.path = rest;
+      this.href = rest;
+      this.pathname = simplePath[1];
+      if (simplePath[2]) {
+        this.search = simplePath[2];
+        if (parseQueryString) {
+          this.query = querystring.parse(this.search.substr(1));
+        } else {
+          this.query = this.search.substr(1);
+        }
+      } else if (parseQueryString) {
+        this.search = '';
+        this.query = {};
+      }
+      return this;
+    }
+  }
+
+  var proto = protocolPattern.exec(rest);
+  if (proto) {
+    proto = proto[0];
+    var lowerProto = proto.toLowerCase();
+    this.protocol = lowerProto;
+    rest = rest.substr(proto.length);
+  }
+
+  // figure out if it's got a host
+  // user@server is *always* interpreted as a hostname, and url
+  // resolution will treat //foo/bar as host=foo,path=bar because that's
+  // how the browser resolves relative URLs.
+  if (slashesDenoteHost || proto || rest.match(/^\/\/[^@\/]+@[^@\/]+/)) {
+    var slashes = rest.substr(0, 2) === '//';
+    if (slashes && !(proto && hostlessProtocol[proto])) {
+      rest = rest.substr(2);
+      this.slashes = true;
+    }
+  }
+
+  if (!hostlessProtocol[proto] &&
+      (slashes || (proto && !slashedProtocol[proto]))) {
+
+    // there's a hostname.
+    // the first instance of /, ?, ;, or # ends the host.
+    //
+    // If there is an @ in the hostname, then non-host chars *are* allowed
+    // to the left of the last @ sign, unless some host-ending character
+    // comes *before* the @-sign.
+    // URLs are obnoxious.
+    //
+    // ex:
+    // http://a@b@c/ => user:a@b host:c
+    // http://a@b?@c => user:a host:c path:/?@c
+
+    // v0.12 TODO(isaacs): This is not quite how Chrome does things.
+    // Review our test case against browsers more comprehensively.
+
+    // find the first instance of any hostEndingChars
+    var hostEnd = -1;
+    for (var i = 0; i < hostEndingChars.length; i++) {
+      var hec = rest.indexOf(hostEndingChars[i]);
+      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))
+        hostEnd = hec;
+    }
+
+    // at this point, either we have an explicit point where the
+    // auth portion cannot go past, or the last @ char is the decider.
+    var auth, atSign;
+    if (hostEnd === -1) {
+      // atSign can be anywhere.
+      atSign = rest.lastIndexOf('@');
+    } else {
+      // atSign must be in auth portion.
+      // http://a@b/c@d => host:b auth:a path:/c@d
+      atSign = rest.lastIndexOf('@', hostEnd);
+    }
+
+    // Now we have a portion which is definitely the auth.
+    // Pull that off.
+    if (atSign !== -1) {
+      auth = rest.slice(0, atSign);
+      rest = rest.slice(atSign + 1);
+      this.auth = decodeURIComponent(auth);
+    }
+
+    // the host is the remaining to the left of the first non-host char
+    hostEnd = -1;
+    for (var i = 0; i < nonHostChars.length; i++) {
+      var hec = rest.indexOf(nonHostChars[i]);
+      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))
+        hostEnd = hec;
+    }
+    // if we still have not hit it, then the entire thing is a host.
+    if (hostEnd === -1)
+      hostEnd = rest.length;
+
+    this.host = rest.slice(0, hostEnd);
+    rest = rest.slice(hostEnd);
+
+    // pull out port.
+    this.parseHost();
+
+    // we've indicated that there is a hostname,
+    // so even if it's empty, it has to be present.
+    this.hostname = this.hostname || '';
+
+    // if hostname begins with [ and ends with ]
+    // assume that it's an IPv6 address.
+    var ipv6Hostname = this.hostname[0] === '[' &&
+        this.hostname[this.hostname.length - 1] === ']';
+
+    // validate a little.
+    if (!ipv6Hostname) {
+      var hostparts = this.hostname.split(/\./);
+      for (var i = 0, l = hostparts.length; i < l; i++) {
+        var part = hostparts[i];
+        if (!part) continue;
+        if (!part.match(hostnamePartPattern)) {
+          var newpart = '';
+          for (var j = 0, k = part.length; j < k; j++) {
+            if (part.charCodeAt(j) > 127) {
+              // we replace non-ASCII char with a temporary placeholder
+              // we need this to make sure size of hostname is not
+              // broken by replacing non-ASCII by nothing
+              newpart += 'x';
+            } else {
+              newpart += part[j];
+            }
+          }
+          // we test again with ASCII char only
+          if (!newpart.match(hostnamePartPattern)) {
+            var validParts = hostparts.slice(0, i);
+            var notHost = hostparts.slice(i + 1);
+            var bit = part.match(hostnamePartStart);
+            if (bit) {
+              validParts.push(bit[1]);
+              notHost.unshift(bit[2]);
+            }
+            if (notHost.length) {
+              rest = '/' + notHost.join('.') + rest;
+            }
+            this.hostname = validParts.join('.');
+            break;
+          }
+        }
+      }
+    }
+
+    if (this.hostname.length > hostnameMaxLen) {
+      this.hostname = '';
+    } else {
+      // hostnames are always lower case.
+      this.hostname = this.hostname.toLowerCase();
+    }
+
+    if (!ipv6Hostname) {
+      // IDNA Support: Returns a punycoded representation of "domain".
+      // It only converts parts of the domain name that
+      // have non-ASCII characters, i.e. it doesn't matter if
+      // you call it with a domain that already is ASCII-only.
+      this.hostname = punycode.toASCII(this.hostname);
+    }
+
+    var p = this.port ? ':' + this.port : '';
+    var h = this.hostname || '';
+    this.host = h + p;
+    this.href += this.host;
+
+    // strip [ and ] from the hostname
+    // the host field still retains them, though
+    if (ipv6Hostname) {
+      this.hostname = this.hostname.substr(1, this.hostname.length - 2);
+      if (rest[0] !== '/') {
+        rest = '/' + rest;
+      }
+    }
+  }
+
+  // now rest is set to the post-host stuff.
+  // chop off any delim chars.
+  if (!unsafeProtocol[lowerProto]) {
+
+    // First, make 100% sure that any "autoEscape" chars get
+    // escaped, even if encodeURIComponent doesn't think they
+    // need to be.
+    for (var i = 0, l = autoEscape.length; i < l; i++) {
+      var ae = autoEscape[i];
+      if (rest.indexOf(ae) === -1)
+        continue;
+      var esc = encodeURIComponent(ae);
+      if (esc === ae) {
+        esc = escape(ae);
+      }
+      rest = rest.split(ae).join(esc);
+    }
+  }
+
+
+  // chop off from the tail first.
+  var hash = rest.indexOf('#');
+  if (hash !== -1) {
+    // got a fragment string.
+    this.hash = rest.substr(hash);
+    rest = rest.slice(0, hash);
+  }
+  var qm = rest.indexOf('?');
+  if (qm !== -1) {
+    this.search = rest.substr(qm);
+    this.query = rest.substr(qm + 1);
+    if (parseQueryString) {
+      this.query = querystring.parse(this.query);
+    }
+    rest = rest.slice(0, qm);
+  } else if (parseQueryString) {
+    // no query string, but parseQueryString still requested
+    this.search = '';
+    this.query = {};
+  }
+  if (rest) this.pathname = rest;
+  if (slashedProtocol[lowerProto] &&
+      this.hostname && !this.pathname) {
+    this.pathname = '/';
+  }
+
+  //to support http.request
+  if (this.pathname || this.search) {
+    var p = this.pathname || '';
+    var s = this.search || '';
+    this.path = p + s;
+  }
+
+  // finally, reconstruct the href based on what has been validated.
+  this.href = this.format();
+  return this;
+};
+
+// format a parsed object into a url string
+function urlFormat(obj) {
+  // ensure it's an object, and not a string url.
+  // If it's an obj, this is a no-op.
+  // this way, you can call url_format() on strings
+  // to clean up potentially wonky urls.
+  if (util.isString(obj)) obj = urlParse(obj);
+  if (!(obj instanceof Url)) return Url.prototype.format.call(obj);
+  return obj.format();
+}
+
+Url.prototype.format = function() {
+  var auth = this.auth || '';
+  if (auth) {
+    auth = encodeURIComponent(auth);
+    auth = auth.replace(/%3A/i, ':');
+    auth += '@';
+  }
+
+  var protocol = this.protocol || '',
+      pathname = this.pathname || '',
+      hash = this.hash || '',
+      host = false,
+      query = '';
+
+  if (this.host) {
+    host = auth + this.host;
+  } else if (this.hostname) {
+    host = auth + (this.hostname.indexOf(':') === -1 ?
+        this.hostname :
+        '[' + this.hostname + ']');
+    if (this.port) {
+      host += ':' + this.port;
+    }
+  }
+
+  if (this.query &&
+      util.isObject(this.query) &&
+      Object.keys(this.query).length) {
+    query = querystring.stringify(this.query);
+  }
+
+  var search = this.search || (query && ('?' + query)) || '';
+
+  if (protocol && protocol.substr(-1) !== ':') protocol += ':';
+
+  // only the slashedProtocols get the //.  Not mailto:, xmpp:, etc.
+  // unless they had them to begin with.
+  if (this.slashes ||
+      (!protocol || slashedProtocol[protocol]) && host !== false) {
+    host = '//' + (host || '');
+    if (pathname && pathname.charAt(0) !== '/') pathname = '/' + pathname;
+  } else if (!host) {
+    host = '';
+  }
+
+  if (hash && hash.charAt(0) !== '#') hash = '#' + hash;
+  if (search && search.charAt(0) !== '?') search = '?' + search;
+
+  pathname = pathname.replace(/[?#]/g, function(match) {
+    return encodeURIComponent(match);
+  });
+  search = search.replace('#', '%23');
+
+  return protocol + host + pathname + search + hash;
+};
+
+function urlResolve(source, relative) {
+  return urlParse(source, false, true).resolve(relative);
+}
+
+Url.prototype.resolve = function(relative) {
+  return this.resolveObject(urlParse(relative, false, true)).format();
+};
+
+function urlResolveObject(source, relative) {
+  if (!source) return relative;
+  return urlParse(source, false, true).resolveObject(relative);
+}
+
+Url.prototype.resolveObject = function(relative) {
+  if (util.isString(relative)) {
+    var rel = new Url();
+    rel.parse(relative, false, true);
+    relative = rel;
+  }
+
+  var result = new Url();
+  var tkeys = Object.keys(this);
+  for (var tk = 0; tk < tkeys.length; tk++) {
+    var tkey = tkeys[tk];
+    result[tkey] = this[tkey];
+  }
+
+  // hash is always overridden, no matter what.
+  // even href="" will remove it.
+  result.hash = relative.hash;
+
+  // if the relative url is empty, then there's nothing left to do here.
+  if (relative.href === '') {
+    result.href = result.format();
+    return result;
+  }
+
+  // hrefs like //foo/bar always cut to the protocol.
+  if (relative.slashes && !relative.protocol) {
+    // take everything except the protocol from relative
+    var rkeys = Object.keys(relative);
+    for (var rk = 0; rk < rkeys.length; rk++) {
+      var rkey = rkeys[rk];
+      if (rkey !== 'protocol')
+        result[rkey] = relative[rkey];
+    }
+
+    //urlParse appends trailing / to urls like http://www.example.com
+    if (slashedProtocol[result.protocol] &&
+        result.hostname && !result.pathname) {
+      result.path = result.pathname = '/';
+    }
+
+    result.href = result.format();
+    return result;
+  }
+
+  if (relative.protocol && relative.protocol !== result.protocol) {
+    // if it's a known url protocol, then changing
+    // the protocol does weird things
+    // first, if it's not file:, then we MUST have a host,
+    // and if there was a path
+    // to begin with, then we MUST have a path.
+    // if it is file:, then the host is dropped,
+    // because that's known to be hostless.
+    // anything else is assumed to be absolute.
+    if (!slashedProtocol[relative.protocol]) {
+      var keys = Object.keys(relative);
+      for (var v = 0; v < keys.length; v++) {
+        var k = keys[v];
+        result[k] = relative[k];
+      }
+      result.href = result.format();
+      return result;
+    }
+
+    result.protocol = relative.protocol;
+    if (!relative.host && !hostlessProtocol[relative.protocol]) {
+      var relPath = (relative.pathname || '').split('/');
+      while (relPath.length && !(relative.host = relPath.shift()));
+      if (!relative.host) relative.host = '';
+      if (!relative.hostname) relative.hostname = '';
+      if (relPath[0] !== '') relPath.unshift('');
+      if (relPath.length < 2) relPath.unshift('');
+      result.pathname = relPath.join('/');
+    } else {
+      result.pathname = relative.pathname;
+    }
+    result.search = relative.search;
+    result.query = relative.query;
+    result.host = relative.host || '';
+    result.auth = relative.auth;
+    result.hostname = relative.hostname || relative.host;
+    result.port = relative.port;
+    // to support http.request
+    if (result.pathname || result.search) {
+      var p = result.pathname || '';
+      var s = result.search || '';
+      result.path = p + s;
+    }
+    result.slashes = result.slashes || relative.slashes;
+    result.href = result.format();
+    return result;
+  }
+
+  var isSourceAbs = (result.pathname && result.pathname.charAt(0) === '/'),
+      isRelAbs = (
+          relative.host ||
+          relative.pathname && relative.pathname.charAt(0) === '/'
+      ),
+      mustEndAbs = (isRelAbs || isSourceAbs ||
+                    (result.host && relative.pathname)),
+      removeAllDots = mustEndAbs,
+      srcPath = result.pathname && result.pathname.split('/') || [],
+      relPath = relative.pathname && relative.pathname.split('/') || [],
+      psychotic = result.protocol && !slashedProtocol[result.protocol];
+
+  // if the url is a non-slashed url, then relative
+  // links like ../.. should be able
+  // to crawl up to the hostname, as well.  This is strange.
+  // result.protocol has already been set by now.
+  // Later on, put the first path part into the host field.
+  if (psychotic) {
+    result.hostname = '';
+    result.port = null;
+    if (result.host) {
+      if (srcPath[0] === '') srcPath[0] = result.host;
+      else srcPath.unshift(result.host);
+    }
+    result.host = '';
+    if (relative.protocol) {
+      relative.hostname = null;
+      relative.port = null;
+      if (relative.host) {
+        if (relPath[0] === '') relPath[0] = relative.host;
+        else relPath.unshift(relative.host);
+      }
+      relative.host = null;
+    }
+    mustEndAbs = mustEndAbs && (relPath[0] === '' || srcPath[0] === '');
+  }
+
+  if (isRelAbs) {
+    // it's absolute.
+    result.host = (relative.host || relative.host === '') ?
+                  relative.host : result.host;
+    result.hostname = (relative.hostname || relative.hostname === '') ?
+                      relative.hostname : result.hostname;
+    result.search = relative.search;
+    result.query = relative.query;
+    srcPath = relPath;
+    // fall through to the dot-handling below.
+  } else if (relPath.length) {
+    // it's relative
+    // throw away the existing file, and take the new path instead.
+    if (!srcPath) srcPath = [];
+    srcPath.pop();
+    srcPath = srcPath.concat(relPath);
+    result.search = relative.search;
+    result.query = relative.query;
+  } else if (!util.isNullOrUndefined(relative.search)) {
+    // just pull out the search.
+    // like href='?foo'.
+    // Put this after the other two cases because it simplifies the booleans
+    if (psychotic) {
+      result.hostname = result.host = srcPath.shift();
+      //occationaly the auth can get stuck only in host
+      //this especially happens in cases like
+      //url.resolveObject('mailto:local1@domain1', 'local2@domain2')
+      var authInHost = result.host && result.host.indexOf('@') > 0 ?
+                       result.host.split('@') : false;
+      if (authInHost) {
+        result.auth = authInHost.shift();
+        result.host = result.hostname = authInHost.shift();
+      }
+    }
+    result.search = relative.search;
+    result.query = relative.query;
+    //to support http.request
+    if (!util.isNull(result.pathname) || !util.isNull(result.search)) {
+      result.path = (result.pathname ? result.pathname : '') +
+                    (result.search ? result.search : '');
+    }
+    result.href = result.format();
+    return result;
+  }
+
+  if (!srcPath.length) {
+    // no path at all.  easy.
+    // we've already handled the other stuff above.
+    result.pathname = null;
+    //to support http.request
+    if (result.search) {
+      result.path = '/' + result.search;
+    } else {
+      result.path = null;
+    }
+    result.href = result.format();
+    return result;
+  }
+
+  // if a url ENDs in . or .., then it must get a trailing slash.
+  // however, if it ends in anything else non-slashy,
+  // then it must NOT get a trailing slash.
+  var last = srcPath.slice(-1)[0];
+  var hasTrailingSlash = (
+      (result.host || relative.host || srcPath.length > 1) &&
+      (last === '.' || last === '..') || last === '');
+
+  // strip single dots, resolve double dots to parent dir
+  // if the path tries to go above the root, `up` ends up > 0
+  var up = 0;
+  for (var i = srcPath.length; i >= 0; i--) {
+    last = srcPath[i];
+    if (last === '.') {
+      srcPath.splice(i, 1);
+    } else if (last === '..') {
+      srcPath.splice(i, 1);
+      up++;
+    } else if (up) {
+      srcPath.splice(i, 1);
+      up--;
+    }
+  }
+
+  // if the path is allowed to go above the root, restore leading ..s
+  if (!mustEndAbs && !removeAllDots) {
+    for (; up--; up) {
+      srcPath.unshift('..');
+    }
+  }
+
+  if (mustEndAbs && srcPath[0] !== '' &&
+      (!srcPath[0] || srcPath[0].charAt(0) !== '/')) {
+    srcPath.unshift('');
+  }
+
+  if (hasTrailingSlash && (srcPath.join('/').substr(-1) !== '/')) {
+    srcPath.push('');
+  }
+
+  var isAbsolute = srcPath[0] === '' ||
+      (srcPath[0] && srcPath[0].charAt(0) === '/');
+
+  // put the host back
+  if (psychotic) {
+    result.hostname = result.host = isAbsolute ? '' :
+                                    srcPath.length ? srcPath.shift() : '';
+    //occationaly the auth can get stuck only in host
+    //this especially happens in cases like
+    //url.resolveObject('mailto:local1@domain1', 'local2@domain2')
+    var authInHost = result.host && result.host.indexOf('@') > 0 ?
+                     result.host.split('@') : false;
+    if (authInHost) {
+      result.auth = authInHost.shift();
+      result.host = result.hostname = authInHost.shift();
+    }
+  }
+
+  mustEndAbs = mustEndAbs || (result.host && srcPath.length);
+
+  if (mustEndAbs && !isAbsolute) {
+    srcPath.unshift('');
+  }
+
+  if (!srcPath.length) {
+    result.pathname = null;
+    result.path = null;
+  } else {
+    result.pathname = srcPath.join('/');
+  }
+
+  //to support request.http
+  if (!util.isNull(result.pathname) || !util.isNull(result.search)) {
+    result.path = (result.pathname ? result.pathname : '') +
+                  (result.search ? result.search : '');
+  }
+  result.auth = relative.auth || result.auth;
+  result.slashes = result.slashes || relative.slashes;
+  result.href = result.format();
+  return result;
+};
+
+Url.prototype.parseHost = function() {
+  var host = this.host;
+  var port = portPattern.exec(host);
+  if (port) {
+    port = port[0];
+    if (port !== ':') {
+      this.port = port.substr(1);
+    }
+    host = host.substr(0, host.length - port.length);
+  }
+  if (host) this.hostname = host;
+};
+
+},{"punycode":19,"./util":17,"querystring":18}],63:[function(require,module,exports) {
+"use strict";
+module.exports = asPromise;
+
+/**
+ * Callback as used by {@link util.asPromise}.
+ * @typedef asPromiseCallback
+ * @type {function}
+ * @param {Error|null} error Error, if any
+ * @param {...*} params Additional arguments
+ * @returns {undefined}
+ */
+
+/**
+ * Returns a promise from a node-style callback function.
+ * @memberof util
+ * @param {asPromiseCallback} fn Function to call
+ * @param {*} ctx Function context
+ * @param {...*} params Function arguments
+ * @returns {Promise<*>} Promisified function
+ */
+function asPromise(fn, ctx/*, varargs */) {
+    var params  = new Array(arguments.length - 1),
+        offset  = 0,
+        index   = 2,
+        pending = true;
+    while (index < arguments.length)
+        params[offset++] = arguments[index++];
+    return new Promise(function executor(resolve, reject) {
+        params[offset] = function callback(err/*, varargs */) {
+            if (pending) {
+                pending = false;
+                if (err)
+                    reject(err);
+                else {
+                    var params = new Array(arguments.length - 1),
+                        offset = 0;
+                    while (offset < params.length)
+                        params[offset++] = arguments[offset];
+                    resolve.apply(null, params);
+                }
+            }
+        };
+        try {
+            fn.apply(ctx || null, params);
+        } catch (err) {
+            if (pending) {
+                pending = false;
+                reject(err);
+            }
+        }
+    });
+}
+
+},{}],65:[function(require,module,exports) {
+"use strict";
+
+/**
+ * A minimal base64 implementation for number arrays.
+ * @memberof util
+ * @namespace
+ */
+var base64 = exports;
+
+/**
+ * Calculates the byte length of a base64 encoded string.
+ * @param {string} string Base64 encoded string
+ * @returns {number} Byte length
+ */
+base64.length = function length(string) {
+    var p = string.length;
+    if (!p)
+        return 0;
+    var n = 0;
+    while (--p % 4 > 1 && string.charAt(p) === "=")
+        ++n;
+    return Math.ceil(string.length * 3) / 4 - n;
+};
+
+// Base64 encoding table
+var b64 = new Array(64);
+
+// Base64 decoding table
+var s64 = new Array(123);
+
+// 65..90, 97..122, 48..57, 43, 47
+for (var i = 0; i < 64;)
+    s64[b64[i] = i < 26 ? i + 65 : i < 52 ? i + 71 : i < 62 ? i - 4 : i - 59 | 43] = i++;
+
+/**
+ * Encodes a buffer to a base64 encoded string.
+ * @param {Uint8Array} buffer Source buffer
+ * @param {number} start Source start
+ * @param {number} end Source end
+ * @returns {string} Base64 encoded string
+ */
+base64.encode = function encode(buffer, start, end) {
+    var parts = null,
+        chunk = [];
+    var i = 0, // output index
+        j = 0, // goto index
+        t;     // temporary
+    while (start < end) {
+        var b = buffer[start++];
+        switch (j) {
+            case 0:
+                chunk[i++] = b64[b >> 2];
+                t = (b & 3) << 4;
+                j = 1;
+                break;
+            case 1:
+                chunk[i++] = b64[t | b >> 4];
+                t = (b & 15) << 2;
+                j = 2;
+                break;
+            case 2:
+                chunk[i++] = b64[t | b >> 6];
+                chunk[i++] = b64[b & 63];
+                j = 0;
+                break;
+        }
+        if (i > 8191) {
+            (parts || (parts = [])).push(String.fromCharCode.apply(String, chunk));
+            i = 0;
+        }
+    }
+    if (j) {
+        chunk[i++] = b64[t];
+        chunk[i++] = 61;
+        if (j === 1)
+            chunk[i++] = 61;
+    }
+    if (parts) {
+        if (i)
+            parts.push(String.fromCharCode.apply(String, chunk.slice(0, i)));
+        return parts.join("");
+    }
+    return String.fromCharCode.apply(String, chunk.slice(0, i));
+};
+
+var invalidEncoding = "invalid encoding";
+
+/**
+ * Decodes a base64 encoded string to a buffer.
+ * @param {string} string Source string
+ * @param {Uint8Array} buffer Destination buffer
+ * @param {number} offset Destination offset
+ * @returns {number} Number of bytes written
+ * @throws {Error} If encoding is invalid
+ */
+base64.decode = function decode(string, buffer, offset) {
+    var start = offset;
+    var j = 0, // goto index
+        t;     // temporary
+    for (var i = 0; i < string.length;) {
+        var c = string.charCodeAt(i++);
+        if (c === 61 && j > 1)
+            break;
+        if ((c = s64[c]) === undefined)
+            throw Error(invalidEncoding);
+        switch (j) {
+            case 0:
+                t = c;
+                j = 1;
+                break;
+            case 1:
+                buffer[offset++] = t << 2 | (c & 48) >> 4;
+                t = c;
+                j = 2;
+                break;
+            case 2:
+                buffer[offset++] = (t & 15) << 4 | (c & 60) >> 2;
+                t = c;
+                j = 3;
+                break;
+            case 3:
+                buffer[offset++] = (t & 3) << 6 | c;
+                j = 0;
+                break;
+        }
+    }
+    if (j === 1)
+        throw Error(invalidEncoding);
+    return offset - start;
+};
+
+/**
+ * Tests if the specified string appears to be base64 encoded.
+ * @param {string} string String to test
+ * @returns {boolean} `true` if probably base64 encoded, otherwise false
+ */
+base64.test = function test(string) {
+    return /^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/.test(string);
+};
+
+},{}],64:[function(require,module,exports) {
+"use strict";
+module.exports = EventEmitter;
+
+/**
+ * Constructs a new event emitter instance.
+ * @classdesc A minimal event emitter.
+ * @memberof util
+ * @constructor
+ */
+function EventEmitter() {
+
+    /**
+     * Registered listeners.
+     * @type {Object.<string,*>}
+     * @private
+     */
+    this._listeners = {};
+}
+
+/**
+ * Registers an event listener.
+ * @param {string} evt Event name
+ * @param {function} fn Listener
+ * @param {*} [ctx] Listener context
+ * @returns {util.EventEmitter} `this`
+ */
+EventEmitter.prototype.on = function on(evt, fn, ctx) {
+    (this._listeners[evt] || (this._listeners[evt] = [])).push({
+        fn  : fn,
+        ctx : ctx || this
+    });
+    return this;
+};
+
+/**
+ * Removes an event listener or any matching listeners if arguments are omitted.
+ * @param {string} [evt] Event name. Removes all listeners if omitted.
+ * @param {function} [fn] Listener to remove. Removes all listeners of `evt` if omitted.
+ * @returns {util.EventEmitter} `this`
+ */
+EventEmitter.prototype.off = function off(evt, fn) {
+    if (evt === undefined)
+        this._listeners = {};
+    else {
+        if (fn === undefined)
+            this._listeners[evt] = [];
+        else {
+            var listeners = this._listeners[evt];
+            for (var i = 0; i < listeners.length;)
+                if (listeners[i].fn === fn)
+                    listeners.splice(i, 1);
+                else
+                    ++i;
+        }
+    }
+    return this;
+};
+
+/**
+ * Emits an event by calling its listeners with the specified arguments.
+ * @param {string} evt Event name
+ * @param {...*} args Arguments
+ * @returns {util.EventEmitter} `this`
+ */
+EventEmitter.prototype.emit = function emit(evt) {
+    var listeners = this._listeners[evt];
+    if (listeners) {
+        var args = [],
+            i = 1;
+        for (; i < arguments.length;)
+            args.push(arguments[i++]);
+        for (i = 0; i < listeners.length;)
+            listeners[i].fn.apply(listeners[i++].ctx, args);
+    }
+    return this;
+};
+
+},{}],66:[function(require,module,exports) {
+"use strict";
+
+module.exports = factory(factory);
+
+/**
+ * Reads / writes floats / doubles from / to buffers.
+ * @name util.float
+ * @namespace
+ */
+
+/**
+ * Writes a 32 bit float to a buffer using little endian byte order.
+ * @name util.float.writeFloatLE
+ * @function
+ * @param {number} val Value to write
+ * @param {Uint8Array} buf Target buffer
+ * @param {number} pos Target buffer offset
+ * @returns {undefined}
+ */
+
+/**
+ * Writes a 32 bit float to a buffer using big endian byte order.
+ * @name util.float.writeFloatBE
+ * @function
+ * @param {number} val Value to write
+ * @param {Uint8Array} buf Target buffer
+ * @param {number} pos Target buffer offset
+ * @returns {undefined}
+ */
+
+/**
+ * Reads a 32 bit float from a buffer using little endian byte order.
+ * @name util.float.readFloatLE
+ * @function
+ * @param {Uint8Array} buf Source buffer
+ * @param {number} pos Source buffer offset
+ * @returns {number} Value read
+ */
+
+/**
+ * Reads a 32 bit float from a buffer using big endian byte order.
+ * @name util.float.readFloatBE
+ * @function
+ * @param {Uint8Array} buf Source buffer
+ * @param {number} pos Source buffer offset
+ * @returns {number} Value read
+ */
+
+/**
+ * Writes a 64 bit double to a buffer using little endian byte order.
+ * @name util.float.writeDoubleLE
+ * @function
+ * @param {number} val Value to write
+ * @param {Uint8Array} buf Target buffer
+ * @param {number} pos Target buffer offset
+ * @returns {undefined}
+ */
+
+/**
+ * Writes a 64 bit double to a buffer using big endian byte order.
+ * @name util.float.writeDoubleBE
+ * @function
+ * @param {number} val Value to write
+ * @param {Uint8Array} buf Target buffer
+ * @param {number} pos Target buffer offset
+ * @returns {undefined}
+ */
+
+/**
+ * Reads a 64 bit double from a buffer using little endian byte order.
+ * @name util.float.readDoubleLE
+ * @function
+ * @param {Uint8Array} buf Source buffer
+ * @param {number} pos Source buffer offset
+ * @returns {number} Value read
+ */
+
+/**
+ * Reads a 64 bit double from a buffer using big endian byte order.
+ * @name util.float.readDoubleBE
+ * @function
+ * @param {Uint8Array} buf Source buffer
+ * @param {number} pos Source buffer offset
+ * @returns {number} Value read
+ */
+
+// Factory function for the purpose of node-based testing in modified global environments
+function factory(exports) {
+
+    // float: typed array
+    if (typeof Float32Array !== "undefined") (function() {
+
+        var f32 = new Float32Array([ -0 ]),
+            f8b = new Uint8Array(f32.buffer),
+            le  = f8b[3] === 128;
+
+        function writeFloat_f32_cpy(val, buf, pos) {
+            f32[0] = val;
+            buf[pos    ] = f8b[0];
+            buf[pos + 1] = f8b[1];
+            buf[pos + 2] = f8b[2];
+            buf[pos + 3] = f8b[3];
+        }
+
+        function writeFloat_f32_rev(val, buf, pos) {
+            f32[0] = val;
+            buf[pos    ] = f8b[3];
+            buf[pos + 1] = f8b[2];
+            buf[pos + 2] = f8b[1];
+            buf[pos + 3] = f8b[0];
+        }
+
+        /* istanbul ignore next */
+        exports.writeFloatLE = le ? writeFloat_f32_cpy : writeFloat_f32_rev;
+        /* istanbul ignore next */
+        exports.writeFloatBE = le ? writeFloat_f32_rev : writeFloat_f32_cpy;
+
+        function readFloat_f32_cpy(buf, pos) {
+            f8b[0] = buf[pos    ];
+            f8b[1] = buf[pos + 1];
+            f8b[2] = buf[pos + 2];
+            f8b[3] = buf[pos + 3];
+            return f32[0];
+        }
+
+        function readFloat_f32_rev(buf, pos) {
+            f8b[3] = buf[pos    ];
+            f8b[2] = buf[pos + 1];
+            f8b[1] = buf[pos + 2];
+            f8b[0] = buf[pos + 3];
+            return f32[0];
+        }
+
+        /* istanbul ignore next */
+        exports.readFloatLE = le ? readFloat_f32_cpy : readFloat_f32_rev;
+        /* istanbul ignore next */
+        exports.readFloatBE = le ? readFloat_f32_rev : readFloat_f32_cpy;
+
+    // float: ieee754
+    })(); else (function() {
+
+        function writeFloat_ieee754(writeUint, val, buf, pos) {
+            var sign = val < 0 ? 1 : 0;
+            if (sign)
+                val = -val;
+            if (val === 0)
+                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos);
+            else if (isNaN(val))
+                writeUint(2143289344, buf, pos);
+            else if (val > 3.4028234663852886e+38) // +-Infinity
+                writeUint((sign << 31 | 2139095040) >>> 0, buf, pos);
+            else if (val < 1.1754943508222875e-38) // denormal
+                writeUint((sign << 31 | Math.round(val / 1.401298464324817e-45)) >>> 0, buf, pos);
+            else {
+                var exponent = Math.floor(Math.log(val) / Math.LN2),
+                    mantissa = Math.round(val * Math.pow(2, -exponent) * 8388608) & 8388607;
+                writeUint((sign << 31 | exponent + 127 << 23 | mantissa) >>> 0, buf, pos);
+            }
+        }
+
+        exports.writeFloatLE = writeFloat_ieee754.bind(null, writeUintLE);
+        exports.writeFloatBE = writeFloat_ieee754.bind(null, writeUintBE);
+
+        function readFloat_ieee754(readUint, buf, pos) {
+            var uint = readUint(buf, pos),
+                sign = (uint >> 31) * 2 + 1,
+                exponent = uint >>> 23 & 255,
+                mantissa = uint & 8388607;
+            return exponent === 255
+                ? mantissa
+                ? NaN
+                : sign * Infinity
+                : exponent === 0 // denormal
+                ? sign * 1.401298464324817e-45 * mantissa
+                : sign * Math.pow(2, exponent - 150) * (mantissa + 8388608);
+        }
+
+        exports.readFloatLE = readFloat_ieee754.bind(null, readUintLE);
+        exports.readFloatBE = readFloat_ieee754.bind(null, readUintBE);
+
+    })();
+
+    // double: typed array
+    if (typeof Float64Array !== "undefined") (function() {
+
+        var f64 = new Float64Array([-0]),
+            f8b = new Uint8Array(f64.buffer),
+            le  = f8b[7] === 128;
+
+        function writeDouble_f64_cpy(val, buf, pos) {
+            f64[0] = val;
+            buf[pos    ] = f8b[0];
+            buf[pos + 1] = f8b[1];
+            buf[pos + 2] = f8b[2];
+            buf[pos + 3] = f8b[3];
+            buf[pos + 4] = f8b[4];
+            buf[pos + 5] = f8b[5];
+            buf[pos + 6] = f8b[6];
+            buf[pos + 7] = f8b[7];
+        }
+
+        function writeDouble_f64_rev(val, buf, pos) {
+            f64[0] = val;
+            buf[pos    ] = f8b[7];
+            buf[pos + 1] = f8b[6];
+            buf[pos + 2] = f8b[5];
+            buf[pos + 3] = f8b[4];
+            buf[pos + 4] = f8b[3];
+            buf[pos + 5] = f8b[2];
+            buf[pos + 6] = f8b[1];
+            buf[pos + 7] = f8b[0];
+        }
+
+        /* istanbul ignore next */
+        exports.writeDoubleLE = le ? writeDouble_f64_cpy : writeDouble_f64_rev;
+        /* istanbul ignore next */
+        exports.writeDoubleBE = le ? writeDouble_f64_rev : writeDouble_f64_cpy;
+
+        function readDouble_f64_cpy(buf, pos) {
+            f8b[0] = buf[pos    ];
+            f8b[1] = buf[pos + 1];
+            f8b[2] = buf[pos + 2];
+            f8b[3] = buf[pos + 3];
+            f8b[4] = buf[pos + 4];
+            f8b[5] = buf[pos + 5];
+            f8b[6] = buf[pos + 6];
+            f8b[7] = buf[pos + 7];
+            return f64[0];
+        }
+
+        function readDouble_f64_rev(buf, pos) {
+            f8b[7] = buf[pos    ];
+            f8b[6] = buf[pos + 1];
+            f8b[5] = buf[pos + 2];
+            f8b[4] = buf[pos + 3];
+            f8b[3] = buf[pos + 4];
+            f8b[2] = buf[pos + 5];
+            f8b[1] = buf[pos + 6];
+            f8b[0] = buf[pos + 7];
+            return f64[0];
+        }
+
+        /* istanbul ignore next */
+        exports.readDoubleLE = le ? readDouble_f64_cpy : readDouble_f64_rev;
+        /* istanbul ignore next */
+        exports.readDoubleBE = le ? readDouble_f64_rev : readDouble_f64_cpy;
+
+    // double: ieee754
+    })(); else (function() {
+
+        function writeDouble_ieee754(writeUint, off0, off1, val, buf, pos) {
+            var sign = val < 0 ? 1 : 0;
+            if (sign)
+                val = -val;
+            if (val === 0) {
+                writeUint(0, buf, pos + off0);
+                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos + off1);
+            } else if (isNaN(val)) {
+                writeUint(0, buf, pos + off0);
+                writeUint(2146959360, buf, pos + off1);
+            } else if (val > 1.7976931348623157e+308) { // +-Infinity
+                writeUint(0, buf, pos + off0);
+                writeUint((sign << 31 | 2146435072) >>> 0, buf, pos + off1);
+            } else {
+                var mantissa;
+                if (val < 2.2250738585072014e-308) { // denormal
+                    mantissa = val / 5e-324;
+                    writeUint(mantissa >>> 0, buf, pos + off0);
+                    writeUint((sign << 31 | mantissa / 4294967296) >>> 0, buf, pos + off1);
+                } else {
+                    var exponent = Math.floor(Math.log(val) / Math.LN2);
+                    if (exponent === 1024)
+                        exponent = 1023;
+                    mantissa = val * Math.pow(2, -exponent);
+                    writeUint(mantissa * 4503599627370496 >>> 0, buf, pos + off0);
+                    writeUint((sign << 31 | exponent + 1023 << 20 | mantissa * 1048576 & 1048575) >>> 0, buf, pos + off1);
+                }
+            }
+        }
+
+        exports.writeDoubleLE = writeDouble_ieee754.bind(null, writeUintLE, 0, 4);
+        exports.writeDoubleBE = writeDouble_ieee754.bind(null, writeUintBE, 4, 0);
+
+        function readDouble_ieee754(readUint, off0, off1, buf, pos) {
+            var lo = readUint(buf, pos + off0),
+                hi = readUint(buf, pos + off1);
+            var sign = (hi >> 31) * 2 + 1,
+                exponent = hi >>> 20 & 2047,
+                mantissa = 4294967296 * (hi & 1048575) + lo;
+            return exponent === 2047
+                ? mantissa
+                ? NaN
+                : sign * Infinity
+                : exponent === 0 // denormal
+                ? sign * 5e-324 * mantissa
+                : sign * Math.pow(2, exponent - 1075) * (mantissa + 4503599627370496);
+        }
+
+        exports.readDoubleLE = readDouble_ieee754.bind(null, readUintLE, 0, 4);
+        exports.readDoubleBE = readDouble_ieee754.bind(null, readUintBE, 4, 0);
+
+    })();
+
+    return exports;
+}
+
+// uint helpers
+
+function writeUintLE(val, buf, pos) {
+    buf[pos    ] =  val        & 255;
+    buf[pos + 1] =  val >>> 8  & 255;
+    buf[pos + 2] =  val >>> 16 & 255;
+    buf[pos + 3] =  val >>> 24;
+}
+
+function writeUintBE(val, buf, pos) {
+    buf[pos    ] =  val >>> 24;
+    buf[pos + 1] =  val >>> 16 & 255;
+    buf[pos + 2] =  val >>> 8  & 255;
+    buf[pos + 3] =  val        & 255;
+}
+
+function readUintLE(buf, pos) {
+    return (buf[pos    ]
+          | buf[pos + 1] << 8
+          | buf[pos + 2] << 16
+          | buf[pos + 3] << 24) >>> 0;
+}
+
+function readUintBE(buf, pos) {
+    return (buf[pos    ] << 24
+          | buf[pos + 1] << 16
+          | buf[pos + 2] << 8
+          | buf[pos + 3]) >>> 0;
+}
+
+},{}],67:[function(require,module,exports) {
+"use strict";
+module.exports = inquire;
+
+/**
+ * Requires a module only if available.
+ * @memberof util
+ * @param {string} moduleName Module to require
+ * @returns {?Object} Required module if available and not empty, otherwise `null`
+ */
+function inquire(moduleName) {
+    try {
+        var mod = eval("quire".replace(/^/,"re"))(moduleName); // eslint-disable-line no-eval
+        if (mod && (mod.length || Object.keys(mod).length))
+            return mod;
+    } catch (e) {} // eslint-disable-line no-empty
+    return null;
+}
+
+},{}],68:[function(require,module,exports) {
+"use strict";
+
+/**
+ * A minimal UTF8 implementation for number arrays.
+ * @memberof util
+ * @namespace
+ */
+var utf8 = exports;
+
+/**
+ * Calculates the UTF8 byte length of a string.
+ * @param {string} string String
+ * @returns {number} Byte length
+ */
+utf8.length = function utf8_length(string) {
+    var len = 0,
+        c = 0;
+    for (var i = 0; i < string.length; ++i) {
+        c = string.charCodeAt(i);
+        if (c < 128)
+            len += 1;
+        else if (c < 2048)
+            len += 2;
+        else if ((c & 0xFC00) === 0xD800 && (string.charCodeAt(i + 1) & 0xFC00) === 0xDC00) {
+            ++i;
+            len += 4;
+        } else
+            len += 3;
+    }
+    return len;
+};
+
+/**
+ * Reads UTF8 bytes as a string.
+ * @param {Uint8Array} buffer Source buffer
+ * @param {number} start Source start
+ * @param {number} end Source end
+ * @returns {string} String read
+ */
+utf8.read = function utf8_read(buffer, start, end) {
+    var len = end - start;
+    if (len < 1)
+        return "";
+    var parts = null,
+        chunk = [],
+        i = 0, // char offset
+        t;     // temporary
+    while (start < end) {
+        t = buffer[start++];
+        if (t < 128)
+            chunk[i++] = t;
+        else if (t > 191 && t < 224)
+            chunk[i++] = (t & 31) << 6 | buffer[start++] & 63;
+        else if (t > 239 && t < 365) {
+            t = ((t & 7) << 18 | (buffer[start++] & 63) << 12 | (buffer[start++] & 63) << 6 | buffer[start++] & 63) - 0x10000;
+            chunk[i++] = 0xD800 + (t >> 10);
+            chunk[i++] = 0xDC00 + (t & 1023);
+        } else
+            chunk[i++] = (t & 15) << 12 | (buffer[start++] & 63) << 6 | buffer[start++] & 63;
+        if (i > 8191) {
+            (parts || (parts = [])).push(String.fromCharCode.apply(String, chunk));
+            i = 0;
+        }
+    }
+    if (parts) {
+        if (i)
+            parts.push(String.fromCharCode.apply(String, chunk.slice(0, i)));
+        return parts.join("");
+    }
+    return String.fromCharCode.apply(String, chunk.slice(0, i));
+};
+
+/**
+ * Writes a string as UTF8 bytes.
+ * @param {string} string Source string
+ * @param {Uint8Array} buffer Destination buffer
+ * @param {number} offset Destination offset
+ * @returns {number} Bytes written
+ */
+utf8.write = function utf8_write(string, buffer, offset) {
+    var start = offset,
+        c1, // character 1
+        c2; // character 2
+    for (var i = 0; i < string.length; ++i) {
+        c1 = string.charCodeAt(i);
+        if (c1 < 128) {
+            buffer[offset++] = c1;
+        } else if (c1 < 2048) {
+            buffer[offset++] = c1 >> 6       | 192;
+            buffer[offset++] = c1       & 63 | 128;
+        } else if ((c1 & 0xFC00) === 0xD800 && ((c2 = string.charCodeAt(i + 1)) & 0xFC00) === 0xDC00) {
+            c1 = 0x10000 + ((c1 & 0x03FF) << 10) + (c2 & 0x03FF);
+            ++i;
+            buffer[offset++] = c1 >> 18      | 240;
+            buffer[offset++] = c1 >> 12 & 63 | 128;
+            buffer[offset++] = c1 >> 6  & 63 | 128;
+            buffer[offset++] = c1       & 63 | 128;
+        } else {
+            buffer[offset++] = c1 >> 12      | 224;
+            buffer[offset++] = c1 >> 6  & 63 | 128;
+            buffer[offset++] = c1       & 63 | 128;
+        }
+    }
+    return offset - start;
+};
+
+},{}],69:[function(require,module,exports) {
+"use strict";
+module.exports = pool;
+
+/**
+ * An allocator as used by {@link util.pool}.
+ * @typedef PoolAllocator
+ * @type {function}
+ * @param {number} size Buffer size
+ * @returns {Uint8Array} Buffer
+ */
+
+/**
+ * A slicer as used by {@link util.pool}.
+ * @typedef PoolSlicer
+ * @type {function}
+ * @param {number} start Start offset
+ * @param {number} end End offset
+ * @returns {Uint8Array} Buffer slice
+ * @this {Uint8Array}
+ */
+
+/**
+ * A general purpose buffer pool.
+ * @memberof util
+ * @function
+ * @param {PoolAllocator} alloc Allocator
+ * @param {PoolSlicer} slice Slicer
+ * @param {number} [size=8192] Slab size
+ * @returns {PoolAllocator} Pooled allocator
+ */
+function pool(alloc, slice, size) {
+    var SIZE   = size || 8192;
+    var MAX    = SIZE >>> 1;
+    var slab   = null;
+    var offset = SIZE;
+    return function pool_alloc(size) {
+        if (size < 1 || size > MAX)
+            return alloc(size);
+        if (offset + size > SIZE) {
+            slab = alloc(SIZE);
+            offset = 0;
+        }
+        var buf = slice.call(slab, offset, offset += size);
+        if (offset & 7) // align to 32 bit
+            offset = (offset | 7) + 1;
+        return buf;
+    };
+}
+
+},{}],61:[function(require,module,exports) {
+"use strict";
+module.exports = LongBits;
+
+var util = require("../util/minimal");
+
+/**
+ * Constructs new long bits.
+ * @classdesc Helper class for working with the low and high bits of a 64 bit value.
+ * @memberof util
+ * @constructor
+ * @param {number} lo Low 32 bits, unsigned
+ * @param {number} hi High 32 bits, unsigned
+ */
+function LongBits(lo, hi) {
+
+    // note that the casts below are theoretically unnecessary as of today, but older statically
+    // generated converter code might still call the ctor with signed 32bits. kept for compat.
+
+    /**
+     * Low bits.
+     * @type {number}
+     */
+    this.lo = lo >>> 0;
+
+    /**
+     * High bits.
+     * @type {number}
+     */
+    this.hi = hi >>> 0;
+}
+
+/**
+ * Zero bits.
+ * @memberof util.LongBits
+ * @type {util.LongBits}
+ */
+var zero = LongBits.zero = new LongBits(0, 0);
+
+zero.toNumber = function() { return 0; };
+zero.zzEncode = zero.zzDecode = function() { return this; };
+zero.length = function() { return 1; };
+
+/**
+ * Zero hash.
+ * @memberof util.LongBits
+ * @type {string}
+ */
+var zeroHash = LongBits.zeroHash = "\0\0\0\0\0\0\0\0";
+
+/**
+ * Constructs new long bits from the specified number.
+ * @param {number} value Value
+ * @returns {util.LongBits} Instance
+ */
+LongBits.fromNumber = function fromNumber(value) {
+    if (value === 0)
+        return zero;
+    var sign = value < 0;
+    if (sign)
+        value = -value;
+    var lo = value >>> 0,
+        hi = (value - lo) / 4294967296 >>> 0;
+    if (sign) {
+        hi = ~hi >>> 0;
+        lo = ~lo >>> 0;
+        if (++lo > 4294967295) {
+            lo = 0;
+            if (++hi > 4294967295)
+                hi = 0;
+        }
+    }
+    return new LongBits(lo, hi);
+};
+
+/**
+ * Constructs new long bits from a number, long or string.
+ * @param {Long|number|string} value Value
+ * @returns {util.LongBits} Instance
+ */
+LongBits.from = function from(value) {
+    if (typeof value === "number")
+        return LongBits.fromNumber(value);
+    if (util.isString(value)) {
+        /* istanbul ignore else */
+        if (util.Long)
+            value = util.Long.fromString(value);
+        else
+            return LongBits.fromNumber(parseInt(value, 10));
+    }
+    return value.low || value.high ? new LongBits(value.low >>> 0, value.high >>> 0) : zero;
+};
+
+/**
+ * Converts this long bits to a possibly unsafe JavaScript number.
+ * @param {boolean} [unsigned=false] Whether unsigned or not
+ * @returns {number} Possibly unsafe number
+ */
+LongBits.prototype.toNumber = function toNumber(unsigned) {
+    if (!unsigned && this.hi >>> 31) {
+        var lo = ~this.lo + 1 >>> 0,
+            hi = ~this.hi     >>> 0;
+        if (!lo)
+            hi = hi + 1 >>> 0;
+        return -(lo + hi * 4294967296);
+    }
+    return this.lo + this.hi * 4294967296;
+};
+
+/**
+ * Converts this long bits to a long.
+ * @param {boolean} [unsigned=false] Whether unsigned or not
+ * @returns {Long} Long
+ */
+LongBits.prototype.toLong = function toLong(unsigned) {
+    return util.Long
+        ? new util.Long(this.lo | 0, this.hi | 0, Boolean(unsigned))
+        /* istanbul ignore next */
+        : { low: this.lo | 0, high: this.hi | 0, unsigned: Boolean(unsigned) };
+};
+
+var charCodeAt = String.prototype.charCodeAt;
+
+/**
+ * Constructs new long bits from the specified 8 characters long hash.
+ * @param {string} hash Hash
+ * @returns {util.LongBits} Bits
+ */
+LongBits.fromHash = function fromHash(hash) {
+    if (hash === zeroHash)
+        return zero;
+    return new LongBits(
+        ( charCodeAt.call(hash, 0)
+        | charCodeAt.call(hash, 1) << 8
+        | charCodeAt.call(hash, 2) << 16
+        | charCodeAt.call(hash, 3) << 24) >>> 0
+    ,
+        ( charCodeAt.call(hash, 4)
+        | charCodeAt.call(hash, 5) << 8
+        | charCodeAt.call(hash, 6) << 16
+        | charCodeAt.call(hash, 7) << 24) >>> 0
+    );
+};
+
+/**
+ * Converts this long bits to a 8 characters long hash.
+ * @returns {string} Hash
+ */
+LongBits.prototype.toHash = function toHash() {
+    return String.fromCharCode(
+        this.lo        & 255,
+        this.lo >>> 8  & 255,
+        this.lo >>> 16 & 255,
+        this.lo >>> 24      ,
+        this.hi        & 255,
+        this.hi >>> 8  & 255,
+        this.hi >>> 16 & 255,
+        this.hi >>> 24
+    );
+};
+
+/**
+ * Zig-zag encodes this long bits.
+ * @returns {util.LongBits} `this`
+ */
+LongBits.prototype.zzEncode = function zzEncode() {
+    var mask =   this.hi >> 31;
+    this.hi  = ((this.hi << 1 | this.lo >>> 31) ^ mask) >>> 0;
+    this.lo  = ( this.lo << 1                   ^ mask) >>> 0;
+    return this;
+};
+
+/**
+ * Zig-zag decodes this long bits.
+ * @returns {util.LongBits} `this`
+ */
+LongBits.prototype.zzDecode = function zzDecode() {
+    var mask = -(this.lo & 1);
+    this.lo  = ((this.lo >>> 1 | this.hi << 31) ^ mask) >>> 0;
+    this.hi  = ( this.hi >>> 1                  ^ mask) >>> 0;
+    return this;
+};
+
+/**
+ * Calculates the length of this longbits when encoded as a varint.
+ * @returns {number} Length
+ */
+LongBits.prototype.length = function length() {
+    var part0 =  this.lo,
+        part1 = (this.lo >>> 28 | this.hi << 4) >>> 0,
+        part2 =  this.hi >>> 24;
+    return part2 === 0
+         ? part1 === 0
+           ? part0 < 16384
+             ? part0 < 128 ? 1 : 2
+             : part0 < 2097152 ? 3 : 4
+           : part1 < 16384
+             ? part1 < 128 ? 5 : 6
+             : part1 < 2097152 ? 7 : 8
+         : part2 < 128 ? 9 : 10;
+};
+
+},{"../util/minimal":59}],59:[function(require,module,exports) {
+var global = arguments[3];
+var Buffer = require("buffer").Buffer;
+"use strict";
+var util = exports;
+
+// used to return a Promise where callback is omitted
+util.asPromise = require("@protobufjs/aspromise");
+
+// converts to / from base64 encoded strings
+util.base64 = require("@protobufjs/base64");
+
+// base class of rpc.Service
+util.EventEmitter = require("@protobufjs/eventemitter");
+
+// float handling accross browsers
+util.float = require("@protobufjs/float");
+
+// requires modules optionally and hides the call from bundlers
+util.inquire = require("@protobufjs/inquire");
+
+// converts to / from utf8 encoded strings
+util.utf8 = require("@protobufjs/utf8");
+
+// provides a node-like buffer pool in the browser
+util.pool = require("@protobufjs/pool");
+
+// utility to work with the low and high bits of a 64 bit value
+util.LongBits = require("./longbits");
+
+/**
+ * An immuable empty array.
+ * @memberof util
+ * @type {Array.<*>}
+ * @const
+ */
+util.emptyArray = Object.freeze ? Object.freeze([]) : /* istanbul ignore next */ []; // used on prototypes
+
+/**
+ * An immutable empty object.
+ * @type {Object}
+ * @const
+ */
+util.emptyObject = Object.freeze ? Object.freeze({}) : /* istanbul ignore next */ {}; // used on prototypes
+
+/**
+ * Whether running within node or not.
+ * @memberof util
+ * @type {boolean}
+ * @const
+ */
+util.isNode = Boolean(global.process && global.process.versions && global.process.versions.node);
+
+/**
+ * Tests if the specified value is an integer.
+ * @function
+ * @param {*} value Value to test
+ * @returns {boolean} `true` if the value is an integer
+ */
+util.isInteger = Number.isInteger || /* istanbul ignore next */ function isInteger(value) {
+    return typeof value === "number" && isFinite(value) && Math.floor(value) === value;
+};
+
+/**
+ * Tests if the specified value is a string.
+ * @param {*} value Value to test
+ * @returns {boolean} `true` if the value is a string
+ */
+util.isString = function isString(value) {
+    return typeof value === "string" || value instanceof String;
+};
+
+/**
+ * Tests if the specified value is a non-null object.
+ * @param {*} value Value to test
+ * @returns {boolean} `true` if the value is a non-null object
+ */
+util.isObject = function isObject(value) {
+    return value && typeof value === "object";
+};
+
+/**
+ * Checks if a property on a message is considered to be present.
+ * This is an alias of {@link util.isSet}.
+ * @function
+ * @param {Object} obj Plain object or message instance
+ * @param {string} prop Property name
+ * @returns {boolean} `true` if considered to be present, otherwise `false`
+ */
+util.isset =
+
+/**
+ * Checks if a property on a message is considered to be present.
+ * @param {Object} obj Plain object or message instance
+ * @param {string} prop Property name
+ * @returns {boolean} `true` if considered to be present, otherwise `false`
+ */
+util.isSet = function isSet(obj, prop) {
+    var value = obj[prop];
+    if (value != null && obj.hasOwnProperty(prop)) // eslint-disable-line eqeqeq, no-prototype-builtins
+        return typeof value !== "object" || (Array.isArray(value) ? value.length : Object.keys(value).length) > 0;
+    return false;
+};
+
+/**
+ * Any compatible Buffer instance.
+ * This is a minimal stand-alone definition of a Buffer instance. The actual type is that exported by node's typings.
+ * @interface Buffer
+ * @extends Uint8Array
+ */
+
+/**
+ * Node's Buffer class if available.
+ * @type {Constructor<Buffer>}
+ */
+util.Buffer = (function() {
+    try {
+        var Buffer = util.inquire("buffer").Buffer;
+        // refuse to use non-node buffers if not explicitly assigned (perf reasons):
+        return Buffer.prototype.utf8Write ? Buffer : /* istanbul ignore next */ null;
+    } catch (e) {
+        /* istanbul ignore next */
+        return null;
+    }
+})();
+
+// Internal alias of or polyfull for Buffer.from.
+util._Buffer_from = null;
+
+// Internal alias of or polyfill for Buffer.allocUnsafe.
+util._Buffer_allocUnsafe = null;
+
+/**
+ * Creates a new buffer of whatever type supported by the environment.
+ * @param {number|number[]} [sizeOrArray=0] Buffer size or number array
+ * @returns {Uint8Array|Buffer} Buffer
+ */
+util.newBuffer = function newBuffer(sizeOrArray) {
+    /* istanbul ignore next */
+    return typeof sizeOrArray === "number"
+        ? util.Buffer
+            ? util._Buffer_allocUnsafe(sizeOrArray)
+            : new util.Array(sizeOrArray)
+        : util.Buffer
+            ? util._Buffer_from(sizeOrArray)
+            : typeof Uint8Array === "undefined"
+                ? sizeOrArray
+                : new Uint8Array(sizeOrArray);
+};
+
+/**
+ * Array implementation used in the browser. `Uint8Array` if supported, otherwise `Array`.
+ * @type {Constructor<Uint8Array>}
+ */
+util.Array = typeof Uint8Array !== "undefined" ? Uint8Array /* istanbul ignore next */ : Array;
+
+/**
+ * Any compatible Long instance.
+ * This is a minimal stand-alone definition of a Long instance. The actual type is that exported by long.js.
+ * @interface Long
+ * @property {number} low Low bits
+ * @property {number} high High bits
+ * @property {boolean} unsigned Whether unsigned or not
+ */
+
+/**
+ * Long.js's Long class if available.
+ * @type {Constructor<Long>}
+ */
+util.Long = /* istanbul ignore next */ global.dcodeIO && /* istanbul ignore next */ global.dcodeIO.Long || util.inquire("long");
+
+/**
+ * Regular expression used to verify 2 bit (`bool`) map keys.
+ * @type {RegExp}
+ * @const
+ */
+util.key2Re = /^true|false|0|1$/;
+
+/**
+ * Regular expression used to verify 32 bit (`int32` etc.) map keys.
+ * @type {RegExp}
+ * @const
+ */
+util.key32Re = /^-?(?:0|[1-9][0-9]*)$/;
+
+/**
+ * Regular expression used to verify 64 bit (`int64` etc.) map keys.
+ * @type {RegExp}
+ * @const
+ */
+util.key64Re = /^(?:[\\x00-\\xff]{8}|-?(?:0|[1-9][0-9]*))$/;
+
+/**
+ * Converts a number or long to an 8 characters long hash string.
+ * @param {Long|number} value Value to convert
+ * @returns {string} Hash
+ */
+util.longToHash = function longToHash(value) {
+    return value
+        ? util.LongBits.from(value).toHash()
+        : util.LongBits.zeroHash;
+};
+
+/**
+ * Converts an 8 characters long hash string to a long or number.
+ * @param {string} hash Hash
+ * @param {boolean} [unsigned=false] Whether unsigned or not
+ * @returns {Long|number} Original value
+ */
+util.longFromHash = function longFromHash(hash, unsigned) {
+    var bits = util.LongBits.fromHash(hash);
+    if (util.Long)
+        return util.Long.fromBits(bits.lo, bits.hi, unsigned);
+    return bits.toNumber(Boolean(unsigned));
+};
+
+/**
+ * Merges the properties of the source object into the destination object.
+ * @memberof util
+ * @param {Object.<string,*>} dst Destination object
+ * @param {Object.<string,*>} src Source object
+ * @param {boolean} [ifNotSet=false] Merges only if the key is not already set
+ * @returns {Object.<string,*>} Destination object
+ */
+function merge(dst, src, ifNotSet) { // used by converters
+    for (var keys = Object.keys(src), i = 0; i < keys.length; ++i)
+        if (dst[keys[i]] === undefined || !ifNotSet)
+            dst[keys[i]] = src[keys[i]];
+    return dst;
+}
+
+util.merge = merge;
+
+/**
+ * Converts the first character of a string to lower case.
+ * @param {string} str String to convert
+ * @returns {string} Converted string
+ */
+util.lcFirst = function lcFirst(str) {
+    return str.charAt(0).toLowerCase() + str.substring(1);
+};
+
+/**
+ * Creates a custom error constructor.
+ * @memberof util
+ * @param {string} name Error name
+ * @returns {Constructor<Error>} Custom error constructor
+ */
+function newError(name) {
+
+    function CustomError(message, properties) {
+
+        if (!(this instanceof CustomError))
+            return new CustomError(message, properties);
+
+        // Error.call(this, message);
+        // ^ just returns a new error instance because the ctor can be called as a function
+
+        Object.defineProperty(this, "message", { get: function() { return message; } });
+
+        /* istanbul ignore next */
+        if (Error.captureStackTrace) // node
+            Error.captureStackTrace(this, CustomError);
+        else
+            Object.defineProperty(this, "stack", { value: (new Error()).stack || "" });
+
+        if (properties)
+            merge(this, properties);
+    }
+
+    (CustomError.prototype = Object.create(Error.prototype)).constructor = CustomError;
+
+    Object.defineProperty(CustomError.prototype, "name", { get: function() { return name; } });
+
+    CustomError.prototype.toString = function toString() {
+        return this.name + ": " + this.message;
+    };
+
+    return CustomError;
+}
+
+util.newError = newError;
+
+/**
+ * Constructs a new protocol error.
+ * @classdesc Error subclass indicating a protocol specifc error.
+ * @memberof util
+ * @extends Error
+ * @template T extends Message<T>
+ * @constructor
+ * @param {string} message Error message
+ * @param {Object.<string,*>} [properties] Additional properties
+ * @example
+ * try {
+ *     MyMessage.decode(someBuffer); // throws if required fields are missing
+ * } catch (e) {
+ *     if (e instanceof ProtocolError && e.instance)
+ *         console.log("decoded so far: " + JSON.stringify(e.instance));
+ * }
+ */
+util.ProtocolError = newError("ProtocolError");
+
+/**
+ * So far decoded message instance.
+ * @name util.ProtocolError#instance
+ * @type {Message<T>}
+ */
+
+/**
+ * A OneOf getter as returned by {@link util.oneOfGetter}.
+ * @typedef OneOfGetter
+ * @type {function}
+ * @returns {string|undefined} Set field name, if any
+ */
+
+/**
+ * Builds a getter for a oneof's present field name.
+ * @param {string[]} fieldNames Field names
+ * @returns {OneOfGetter} Unbound getter
+ */
+util.oneOfGetter = function getOneOf(fieldNames) {
+    var fieldMap = {};
+    for (var i = 0; i < fieldNames.length; ++i)
+        fieldMap[fieldNames[i]] = 1;
+
+    /**
+     * @returns {string|undefined} Set field name, if any
+     * @this Object
+     * @ignore
+     */
+    return function() { // eslint-disable-line consistent-return
+        for (var keys = Object.keys(this), i = keys.length - 1; i > -1; --i)
+            if (fieldMap[keys[i]] === 1 && this[keys[i]] !== undefined && this[keys[i]] !== null)
+                return keys[i];
+    };
+};
+
+/**
+ * A OneOf setter as returned by {@link util.oneOfSetter}.
+ * @typedef OneOfSetter
+ * @type {function}
+ * @param {string|undefined} value Field name
+ * @returns {undefined}
+ */
+
+/**
+ * Builds a setter for a oneof's present field name.
+ * @param {string[]} fieldNames Field names
+ * @returns {OneOfSetter} Unbound setter
+ */
+util.oneOfSetter = function setOneOf(fieldNames) {
+
+    /**
+     * @param {string} name Field name
+     * @returns {undefined}
+     * @this Object
+     * @ignore
+     */
+    return function(name) {
+        for (var i = 0; i < fieldNames.length; ++i)
+            if (fieldNames[i] !== name)
+                delete this[fieldNames[i]];
+    };
+};
+
+/**
+ * Default conversion options used for {@link Message#toJSON} implementations.
+ *
+ * These options are close to proto3's JSON mapping with the exception that internal types like Any are handled just like messages. More precisely:
+ *
+ * - Longs become strings
+ * - Enums become string keys
+ * - Bytes become base64 encoded strings
+ * - (Sub-)Messages become plain objects
+ * - Maps become plain objects with all string keys
+ * - Repeated fields become arrays
+ * - NaN and Infinity for float and double fields become strings
+ *
+ * @type {IConversionOptions}
+ * @see https://developers.google.com/protocol-buffers/docs/proto3?hl=en#json
+ */
+util.toJSONOptions = {
+    longs: String,
+    enums: String,
+    bytes: String,
+    json: true
+};
+
+util._configure = function() {
+    var Buffer = util.Buffer;
+    /* istanbul ignore if */
+    if (!Buffer) {
+        util._Buffer_from = util._Buffer_allocUnsafe = null;
+        return;
+    }
+    // because node 4.x buffers are incompatible & immutable
+    // see: https://github.com/dcodeIO/protobuf.js/pull/665
+    util._Buffer_from = Buffer.from !== Uint8Array.from && Buffer.from ||
+        /* istanbul ignore next */
+        function Buffer_from(value, encoding) {
+            return new Buffer(value, encoding);
+        };
+    util._Buffer_allocUnsafe = Buffer.allocUnsafe ||
+        /* istanbul ignore next */
+        function Buffer_allocUnsafe(size) {
+            return new Buffer(size);
+        };
+};
+
+},{"@protobufjs/aspromise":63,"@protobufjs/base64":65,"@protobufjs/eventemitter":64,"@protobufjs/float":66,"@protobufjs/inquire":67,"@protobufjs/utf8":68,"@protobufjs/pool":69,"./longbits":61,"buffer":62}],53:[function(require,module,exports) {
+"use strict";
+module.exports = Writer;
+
+var util      = require("./util/minimal");
+
+var BufferWriter; // cyclic
+
+var LongBits  = util.LongBits,
+    base64    = util.base64,
+    utf8      = util.utf8;
+
+/**
+ * Constructs a new writer operation instance.
+ * @classdesc Scheduled writer operation.
+ * @constructor
+ * @param {function(*, Uint8Array, number)} fn Function to call
+ * @param {number} len Value byte length
+ * @param {*} val Value to write
+ * @ignore
+ */
+function Op(fn, len, val) {
+
+    /**
+     * Function to call.
+     * @type {function(Uint8Array, number, *)}
+     */
+    this.fn = fn;
+
+    /**
+     * Value byte length.
+     * @type {number}
+     */
+    this.len = len;
+
+    /**
+     * Next operation.
+     * @type {Writer.Op|undefined}
+     */
+    this.next = undefined;
+
+    /**
+     * Value to write.
+     * @type {*}
+     */
+    this.val = val; // type varies
+}
+
+/* istanbul ignore next */
+function noop() {} // eslint-disable-line no-empty-function
+
+/**
+ * Constructs a new writer state instance.
+ * @classdesc Copied writer state.
+ * @memberof Writer
+ * @constructor
+ * @param {Writer} writer Writer to copy state from
+ * @ignore
+ */
+function State(writer) {
+
+    /**
+     * Current head.
+     * @type {Writer.Op}
+     */
+    this.head = writer.head;
+
+    /**
+     * Current tail.
+     * @type {Writer.Op}
+     */
+    this.tail = writer.tail;
+
+    /**
+     * Current buffer length.
+     * @type {number}
+     */
+    this.len = writer.len;
+
+    /**
+     * Next state.
+     * @type {State|null}
+     */
+    this.next = writer.states;
+}
+
+/**
+ * Constructs a new writer instance.
+ * @classdesc Wire format writer using `Uint8Array` if available, otherwise `Array`.
+ * @constructor
+ */
+function Writer() {
+
+    /**
+     * Current length.
+     * @type {number}
+     */
+    this.len = 0;
+
+    /**
+     * Operations head.
+     * @type {Object}
+     */
+    this.head = new Op(noop, 0, 0);
+
+    /**
+     * Operations tail
+     * @type {Object}
+     */
+    this.tail = this.head;
+
+    /**
+     * Linked forked states.
+     * @type {Object|null}
+     */
+    this.states = null;
+
+    // When a value is written, the writer calculates its byte length and puts it into a linked
+    // list of operations to perform when finish() is called. This both allows us to allocate
+    // buffers of the exact required size and reduces the amount of work we have to do compared
+    // to first calculating over objects and then encoding over objects. In our case, the encoding
+    // part is just a linked list walk calling operations with already prepared values.
+}
+
+/**
+ * Creates a new writer.
+ * @function
+ * @returns {BufferWriter|Writer} A {@link BufferWriter} when Buffers are supported, otherwise a {@link Writer}
+ */
+Writer.create = util.Buffer
+    ? function create_buffer_setup() {
+        return (Writer.create = function create_buffer() {
+            return new BufferWriter();
+        })();
+    }
+    /* istanbul ignore next */
+    : function create_array() {
+        return new Writer();
+    };
+
+/**
+ * Allocates a buffer of the specified size.
+ * @param {number} size Buffer size
+ * @returns {Uint8Array} Buffer
+ */
+Writer.alloc = function alloc(size) {
+    return new util.Array(size);
+};
+
+// Use Uint8Array buffer pool in the browser, just like node does with buffers
+/* istanbul ignore else */
+if (util.Array !== Array)
+    Writer.alloc = util.pool(Writer.alloc, util.Array.prototype.subarray);
+
+/**
+ * Pushes a new operation to the queue.
+ * @param {function(Uint8Array, number, *)} fn Function to call
+ * @param {number} len Value byte length
+ * @param {number} val Value to write
+ * @returns {Writer} `this`
+ * @private
+ */
+Writer.prototype._push = function push(fn, len, val) {
+    this.tail = this.tail.next = new Op(fn, len, val);
+    this.len += len;
+    return this;
+};
+
+function writeByte(val, buf, pos) {
+    buf[pos] = val & 255;
+}
+
+function writeVarint32(val, buf, pos) {
+    while (val > 127) {
+        buf[pos++] = val & 127 | 128;
+        val >>>= 7;
+    }
+    buf[pos] = val;
+}
+
+/**
+ * Constructs a new varint writer operation instance.
+ * @classdesc Scheduled varint writer operation.
+ * @extends Op
+ * @constructor
+ * @param {number} len Value byte length
+ * @param {number} val Value to write
+ * @ignore
+ */
+function VarintOp(len, val) {
+    this.len = len;
+    this.next = undefined;
+    this.val = val;
+}
+
+VarintOp.prototype = Object.create(Op.prototype);
+VarintOp.prototype.fn = writeVarint32;
+
+/**
+ * Writes an unsigned 32 bit value as a varint.
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.uint32 = function write_uint32(value) {
+    // here, the call to this.push has been inlined and a varint specific Op subclass is used.
+    // uint32 is by far the most frequently used operation and benefits significantly from this.
+    this.len += (this.tail = this.tail.next = new VarintOp(
+        (value = value >>> 0)
+                < 128       ? 1
+        : value < 16384     ? 2
+        : value < 2097152   ? 3
+        : value < 268435456 ? 4
+        :                     5,
+    value)).len;
+    return this;
+};
+
+/**
+ * Writes a signed 32 bit value as a varint.
+ * @function
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.int32 = function write_int32(value) {
+    return value < 0
+        ? this._push(writeVarint64, 10, LongBits.fromNumber(value)) // 10 bytes per spec
+        : this.uint32(value);
+};
+
+/**
+ * Writes a 32 bit value as a varint, zig-zag encoded.
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.sint32 = function write_sint32(value) {
+    return this.uint32((value << 1 ^ value >> 31) >>> 0);
+};
+
+function writeVarint64(val, buf, pos) {
+    while (val.hi) {
+        buf[pos++] = val.lo & 127 | 128;
+        val.lo = (val.lo >>> 7 | val.hi << 25) >>> 0;
+        val.hi >>>= 7;
+    }
+    while (val.lo > 127) {
+        buf[pos++] = val.lo & 127 | 128;
+        val.lo = val.lo >>> 7;
+    }
+    buf[pos++] = val.lo;
+}
+
+/**
+ * Writes an unsigned 64 bit value as a varint.
+ * @param {Long|number|string} value Value to write
+ * @returns {Writer} `this`
+ * @throws {TypeError} If `value` is a string and no long library is present.
+ */
+Writer.prototype.uint64 = function write_uint64(value) {
+    var bits = LongBits.from(value);
+    return this._push(writeVarint64, bits.length(), bits);
+};
+
+/**
+ * Writes a signed 64 bit value as a varint.
+ * @function
+ * @param {Long|number|string} value Value to write
+ * @returns {Writer} `this`
+ * @throws {TypeError} If `value` is a string and no long library is present.
+ */
+Writer.prototype.int64 = Writer.prototype.uint64;
+
+/**
+ * Writes a signed 64 bit value as a varint, zig-zag encoded.
+ * @param {Long|number|string} value Value to write
+ * @returns {Writer} `this`
+ * @throws {TypeError} If `value` is a string and no long library is present.
+ */
+Writer.prototype.sint64 = function write_sint64(value) {
+    var bits = LongBits.from(value).zzEncode();
+    return this._push(writeVarint64, bits.length(), bits);
+};
+
+/**
+ * Writes a boolish value as a varint.
+ * @param {boolean} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.bool = function write_bool(value) {
+    return this._push(writeByte, 1, value ? 1 : 0);
+};
+
+function writeFixed32(val, buf, pos) {
+    buf[pos    ] =  val         & 255;
+    buf[pos + 1] =  val >>> 8   & 255;
+    buf[pos + 2] =  val >>> 16  & 255;
+    buf[pos + 3] =  val >>> 24;
+}
+
+/**
+ * Writes an unsigned 32 bit value as fixed 32 bits.
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.fixed32 = function write_fixed32(value) {
+    return this._push(writeFixed32, 4, value >>> 0);
+};
+
+/**
+ * Writes a signed 32 bit value as fixed 32 bits.
+ * @function
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.sfixed32 = Writer.prototype.fixed32;
+
+/**
+ * Writes an unsigned 64 bit value as fixed 64 bits.
+ * @param {Long|number|string} value Value to write
+ * @returns {Writer} `this`
+ * @throws {TypeError} If `value` is a string and no long library is present.
+ */
+Writer.prototype.fixed64 = function write_fixed64(value) {
+    var bits = LongBits.from(value);
+    return this._push(writeFixed32, 4, bits.lo)._push(writeFixed32, 4, bits.hi);
+};
+
+/**
+ * Writes a signed 64 bit value as fixed 64 bits.
+ * @function
+ * @param {Long|number|string} value Value to write
+ * @returns {Writer} `this`
+ * @throws {TypeError} If `value` is a string and no long library is present.
+ */
+Writer.prototype.sfixed64 = Writer.prototype.fixed64;
+
+/**
+ * Writes a float (32 bit).
+ * @function
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.float = function write_float(value) {
+    return this._push(util.float.writeFloatLE, 4, value);
+};
+
+/**
+ * Writes a double (64 bit float).
+ * @function
+ * @param {number} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.double = function write_double(value) {
+    return this._push(util.float.writeDoubleLE, 8, value);
+};
+
+var writeBytes = util.Array.prototype.set
+    ? function writeBytes_set(val, buf, pos) {
+        buf.set(val, pos); // also works for plain array values
+    }
+    /* istanbul ignore next */
+    : function writeBytes_for(val, buf, pos) {
+        for (var i = 0; i < val.length; ++i)
+            buf[pos + i] = val[i];
+    };
+
+/**
+ * Writes a sequence of bytes.
+ * @param {Uint8Array|string} value Buffer or base64 encoded string to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.bytes = function write_bytes(value) {
+    var len = value.length >>> 0;
+    if (!len)
+        return this._push(writeByte, 1, 0);
+    if (util.isString(value)) {
+        var buf = Writer.alloc(len = base64.length(value));
+        base64.decode(value, buf, 0);
+        value = buf;
+    }
+    return this.uint32(len)._push(writeBytes, len, value);
+};
+
+/**
+ * Writes a string.
+ * @param {string} value Value to write
+ * @returns {Writer} `this`
+ */
+Writer.prototype.string = function write_string(value) {
+    var len = utf8.length(value);
+    return len
+        ? this.uint32(len)._push(utf8.write, len, value)
+        : this._push(writeByte, 1, 0);
+};
+
+/**
+ * Forks this writer's state by pushing it to a stack.
+ * Calling {@link Writer#reset|reset} or {@link Writer#ldelim|ldelim} resets the writer to the previous state.
+ * @returns {Writer} `this`
+ */
+Writer.prototype.fork = function fork() {
+    this.states = new State(this);
+    this.head = this.tail = new Op(noop, 0, 0);
+    this.len = 0;
+    return this;
+};
+
+/**
+ * Resets this instance to the last state.
+ * @returns {Writer} `this`
+ */
+Writer.prototype.reset = function reset() {
+    if (this.states) {
+        this.head   = this.states.head;
+        this.tail   = this.states.tail;
+        this.len    = this.states.len;
+        this.states = this.states.next;
+    } else {
+        this.head = this.tail = new Op(noop, 0, 0);
+        this.len  = 0;
+    }
+    return this;
+};
+
+/**
+ * Resets to the last state and appends the fork state's current write length as a varint followed by its operations.
+ * @returns {Writer} `this`
+ */
+Writer.prototype.ldelim = function ldelim() {
+    var head = this.head,
+        tail = this.tail,
+        len  = this.len;
+    this.reset().uint32(len);
+    if (len) {
+        this.tail.next = head.next; // skip noop
+        this.tail = tail;
+        this.len += len;
+    }
+    return this;
+};
+
+/**
+ * Finishes the write operation.
+ * @returns {Uint8Array} Finished buffer
+ */
+Writer.prototype.finish = function finish() {
+    var head = this.head.next, // skip noop
+        buf  = this.constructor.alloc(this.len),
+        pos  = 0;
+    while (head) {
+        head.fn(head.val, buf, pos);
+        pos += head.len;
+        head = head.next;
+    }
+    // this.head = this.tail = null;
+    return buf;
+};
+
+Writer._configure = function(BufferWriter_) {
+    BufferWriter = BufferWriter_;
+};
+
+},{"./util/minimal":59}],54:[function(require,module,exports) {
+
+"use strict";
+module.exports = BufferWriter;
+
+// extends Writer
+var Writer = require("./writer");
+(BufferWriter.prototype = Object.create(Writer.prototype)).constructor = BufferWriter;
+
+var util = require("./util/minimal");
+
+var Buffer = util.Buffer;
+
+/**
+ * Constructs a new buffer writer instance.
+ * @classdesc Wire format writer using node buffers.
+ * @extends Writer
+ * @constructor
+ */
+function BufferWriter() {
+    Writer.call(this);
+}
+
+/**
+ * Allocates a buffer of the specified size.
+ * @param {number} size Buffer size
+ * @returns {Buffer} Buffer
+ */
+BufferWriter.alloc = function alloc_buffer(size) {
+    return (BufferWriter.alloc = util._Buffer_allocUnsafe)(size);
+};
+
+var writeBytesBuffer = Buffer && Buffer.prototype instanceof Uint8Array && Buffer.prototype.set.name === "set"
+    ? function writeBytesBuffer_set(val, buf, pos) {
+        buf.set(val, pos); // faster than copy (requires node >= 4 where Buffers extend Uint8Array and set is properly inherited)
+                           // also works for plain array values
+    }
+    /* istanbul ignore next */
+    : function writeBytesBuffer_copy(val, buf, pos) {
+        if (val.copy) // Buffer values
+            val.copy(buf, pos, 0, val.length);
+        else for (var i = 0; i < val.length;) // plain array values
+            buf[pos++] = val[i++];
+    };
+
+/**
+ * @override
+ */
+BufferWriter.prototype.bytes = function write_bytes_buffer(value) {
+    if (util.isString(value))
+        value = util._Buffer_from(value, "base64");
+    var len = value.length >>> 0;
+    this.uint32(len);
+    if (len)
+        this._push(writeBytesBuffer, len, value);
+    return this;
+};
+
+function writeStringBuffer(val, buf, pos) {
+    if (val.length < 40) // plain js is faster for short strings (probably due to redundant assertions)
+        util.utf8.write(val, buf, pos);
+    else
+        buf.utf8Write(val, pos);
+}
+
+/**
+ * @override
+ */
+BufferWriter.prototype.string = function write_string_buffer(value) {
+    var len = Buffer.byteLength(value);
+    this.uint32(len);
+    if (len)
+        this._push(writeStringBuffer, len, value);
+    return this;
+};
+
+
+/**
+ * Finishes the write operation.
+ * @name BufferWriter#finish
+ * @function
+ * @returns {Buffer} Finished buffer
+ */
+
+},{"./writer":53,"./util/minimal":59}],55:[function(require,module,exports) {
+"use strict";
+module.exports = Reader;
+
+var util      = require("./util/minimal");
+
+var BufferReader; // cyclic
+
+var LongBits  = util.LongBits,
+    utf8      = util.utf8;
+
+/* istanbul ignore next */
+function indexOutOfRange(reader, writeLength) {
+    return RangeError("index out of range: " + reader.pos + " + " + (writeLength || 1) + " > " + reader.len);
+}
+
+/**
+ * Constructs a new reader instance using the specified buffer.
+ * @classdesc Wire format reader using `Uint8Array` if available, otherwise `Array`.
+ * @constructor
+ * @param {Uint8Array} buffer Buffer to read from
+ */
+function Reader(buffer) {
+
+    /**
+     * Read buffer.
+     * @type {Uint8Array}
+     */
+    this.buf = buffer;
+
+    /**
+     * Read buffer position.
+     * @type {number}
+     */
+    this.pos = 0;
+
+    /**
+     * Read buffer length.
+     * @type {number}
+     */
+    this.len = buffer.length;
+}
+
+var create_array = typeof Uint8Array !== "undefined"
+    ? function create_typed_array(buffer) {
+        if (buffer instanceof Uint8Array || Array.isArray(buffer))
+            return new Reader(buffer);
+        throw Error("illegal buffer");
+    }
+    /* istanbul ignore next */
+    : function create_array(buffer) {
+        if (Array.isArray(buffer))
+            return new Reader(buffer);
+        throw Error("illegal buffer");
+    };
+
+/**
+ * Creates a new reader using the specified buffer.
+ * @function
+ * @param {Uint8Array|Buffer} buffer Buffer to read from
+ * @returns {Reader|BufferReader} A {@link BufferReader} if `buffer` is a Buffer, otherwise a {@link Reader}
+ * @throws {Error} If `buffer` is not a valid buffer
+ */
+Reader.create = util.Buffer
+    ? function create_buffer_setup(buffer) {
+        return (Reader.create = function create_buffer(buffer) {
+            return util.Buffer.isBuffer(buffer)
+                ? new BufferReader(buffer)
+                /* istanbul ignore next */
+                : create_array(buffer);
+        })(buffer);
+    }
+    /* istanbul ignore next */
+    : create_array;
+
+Reader.prototype._slice = util.Array.prototype.subarray || /* istanbul ignore next */ util.Array.prototype.slice;
+
+/**
+ * Reads a varint as an unsigned 32 bit value.
+ * @function
+ * @returns {number} Value read
+ */
+Reader.prototype.uint32 = (function read_uint32_setup() {
+    var value = 4294967295; // optimizer type-hint, tends to deopt otherwise (?!)
+    return function read_uint32() {
+        value = (         this.buf[this.pos] & 127       ) >>> 0; if (this.buf[this.pos++] < 128) return value;
+        value = (value | (this.buf[this.pos] & 127) <<  7) >>> 0; if (this.buf[this.pos++] < 128) return value;
+        value = (value | (this.buf[this.pos] & 127) << 14) >>> 0; if (this.buf[this.pos++] < 128) return value;
+        value = (value | (this.buf[this.pos] & 127) << 21) >>> 0; if (this.buf[this.pos++] < 128) return value;
+        value = (value | (this.buf[this.pos] &  15) << 28) >>> 0; if (this.buf[this.pos++] < 128) return value;
+
+        /* istanbul ignore if */
+        if ((this.pos += 5) > this.len) {
+            this.pos = this.len;
+            throw indexOutOfRange(this, 10);
+        }
+        return value;
+    };
+})();
+
+/**
+ * Reads a varint as a signed 32 bit value.
+ * @returns {number} Value read
+ */
+Reader.prototype.int32 = function read_int32() {
+    return this.uint32() | 0;
+};
+
+/**
+ * Reads a zig-zag encoded varint as a signed 32 bit value.
+ * @returns {number} Value read
+ */
+Reader.prototype.sint32 = function read_sint32() {
+    var value = this.uint32();
+    return value >>> 1 ^ -(value & 1) | 0;
+};
+
+/* eslint-disable no-invalid-this */
+
+function readLongVarint() {
+    // tends to deopt with local vars for octet etc.
+    var bits = new LongBits(0, 0);
+    var i = 0;
+    if (this.len - this.pos > 4) { // fast route (lo)
+        for (; i < 4; ++i) {
+            // 1st..4th
+            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;
+            if (this.buf[this.pos++] < 128)
+                return bits;
+        }
+        // 5th
+        bits.lo = (bits.lo | (this.buf[this.pos] & 127) << 28) >>> 0;
+        bits.hi = (bits.hi | (this.buf[this.pos] & 127) >>  4) >>> 0;
+        if (this.buf[this.pos++] < 128)
+            return bits;
+        i = 0;
+    } else {
+        for (; i < 3; ++i) {
+            /* istanbul ignore if */
+            if (this.pos >= this.len)
+                throw indexOutOfRange(this);
+            // 1st..3th
+            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;
+            if (this.buf[this.pos++] < 128)
+                return bits;
+        }
+        // 4th
+        bits.lo = (bits.lo | (this.buf[this.pos++] & 127) << i * 7) >>> 0;
+        return bits;
+    }
+    if (this.len - this.pos > 4) { // fast route (hi)
+        for (; i < 5; ++i) {
+            // 6th..10th
+            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;
+            if (this.buf[this.pos++] < 128)
+                return bits;
+        }
+    } else {
+        for (; i < 5; ++i) {
+            /* istanbul ignore if */
+            if (this.pos >= this.len)
+                throw indexOutOfRange(this);
+            // 6th..10th
+            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;
+            if (this.buf[this.pos++] < 128)
+                return bits;
+        }
+    }
+    /* istanbul ignore next */
+    throw Error("invalid varint encoding");
+}
+
+/* eslint-enable no-invalid-this */
+
+/**
+ * Reads a varint as a signed 64 bit value.
+ * @name Reader#int64
+ * @function
+ * @returns {Long} Value read
+ */
+
+/**
+ * Reads a varint as an unsigned 64 bit value.
+ * @name Reader#uint64
+ * @function
+ * @returns {Long} Value read
+ */
+
+/**
+ * Reads a zig-zag encoded varint as a signed 64 bit value.
+ * @name Reader#sint64
+ * @function
+ * @returns {Long} Value read
+ */
+
+/**
+ * Reads a varint as a boolean.
+ * @returns {boolean} Value read
+ */
+Reader.prototype.bool = function read_bool() {
+    return this.uint32() !== 0;
+};
+
+function readFixed32_end(buf, end) { // note that this uses `end`, not `pos`
+    return (buf[end - 4]
+          | buf[end - 3] << 8
+          | buf[end - 2] << 16
+          | buf[end - 1] << 24) >>> 0;
+}
+
+/**
+ * Reads fixed 32 bits as an unsigned 32 bit integer.
+ * @returns {number} Value read
+ */
+Reader.prototype.fixed32 = function read_fixed32() {
+
+    /* istanbul ignore if */
+    if (this.pos + 4 > this.len)
+        throw indexOutOfRange(this, 4);
+
+    return readFixed32_end(this.buf, this.pos += 4);
+};
+
+/**
+ * Reads fixed 32 bits as a signed 32 bit integer.
+ * @returns {number} Value read
+ */
+Reader.prototype.sfixed32 = function read_sfixed32() {
+
+    /* istanbul ignore if */
+    if (this.pos + 4 > this.len)
+        throw indexOutOfRange(this, 4);
+
+    return readFixed32_end(this.buf, this.pos += 4) | 0;
+};
+
+/* eslint-disable no-invalid-this */
+
+function readFixed64(/* this: Reader */) {
+
+    /* istanbul ignore if */
+    if (this.pos + 8 > this.len)
+        throw indexOutOfRange(this, 8);
+
+    return new LongBits(readFixed32_end(this.buf, this.pos += 4), readFixed32_end(this.buf, this.pos += 4));
+}
+
+/* eslint-enable no-invalid-this */
+
+/**
+ * Reads fixed 64 bits.
+ * @name Reader#fixed64
+ * @function
+ * @returns {Long} Value read
+ */
+
+/**
+ * Reads zig-zag encoded fixed 64 bits.
+ * @name Reader#sfixed64
+ * @function
+ * @returns {Long} Value read
+ */
+
+/**
+ * Reads a float (32 bit) as a number.
+ * @function
+ * @returns {number} Value read
+ */
+Reader.prototype.float = function read_float() {
+
+    /* istanbul ignore if */
+    if (this.pos + 4 > this.len)
+        throw indexOutOfRange(this, 4);
+
+    var value = util.float.readFloatLE(this.buf, this.pos);
+    this.pos += 4;
+    return value;
+};
+
+/**
+ * Reads a double (64 bit float) as a number.
+ * @function
+ * @returns {number} Value read
+ */
+Reader.prototype.double = function read_double() {
+
+    /* istanbul ignore if */
+    if (this.pos + 8 > this.len)
+        throw indexOutOfRange(this, 4);
+
+    var value = util.float.readDoubleLE(this.buf, this.pos);
+    this.pos += 8;
+    return value;
+};
+
+/**
+ * Reads a sequence of bytes preceeded by its length as a varint.
+ * @returns {Uint8Array} Value read
+ */
+Reader.prototype.bytes = function read_bytes() {
+    var length = this.uint32(),
+        start  = this.pos,
+        end    = this.pos + length;
+
+    /* istanbul ignore if */
+    if (end > this.len)
+        throw indexOutOfRange(this, length);
+
+    this.pos += length;
+    if (Array.isArray(this.buf)) // plain array
+        return this.buf.slice(start, end);
+    return start === end // fix for IE 10/Win8 and others' subarray returning array of size 1
+        ? new this.buf.constructor(0)
+        : this._slice.call(this.buf, start, end);
+};
+
+/**
+ * Reads a string preceeded by its byte length as a varint.
+ * @returns {string} Value read
+ */
+Reader.prototype.string = function read_string() {
+    var bytes = this.bytes();
+    return utf8.read(bytes, 0, bytes.length);
+};
+
+/**
+ * Skips the specified number of bytes if specified, otherwise skips a varint.
+ * @param {number} [length] Length if known, otherwise a varint is assumed
+ * @returns {Reader} `this`
+ */
+Reader.prototype.skip = function skip(length) {
+    if (typeof length === "number") {
+        /* istanbul ignore if */
+        if (this.pos + length > this.len)
+            throw indexOutOfRange(this, length);
+        this.pos += length;
+    } else {
+        do {
+            /* istanbul ignore if */
+            if (this.pos >= this.len)
+                throw indexOutOfRange(this);
+        } while (this.buf[this.pos++] & 128);
+    }
+    return this;
+};
+
+/**
+ * Skips the next element of the specified wire type.
+ * @param {number} wireType Wire type received
+ * @returns {Reader} `this`
+ */
+Reader.prototype.skipType = function(wireType) {
+    switch (wireType) {
+        case 0:
+            this.skip();
+            break;
+        case 1:
+            this.skip(8);
+            break;
+        case 2:
+            this.skip(this.uint32());
+            break;
+        case 3:
+            do { // eslint-disable-line no-constant-condition
+                if ((wireType = this.uint32() & 7) === 4)
+                    break;
+                this.skipType(wireType);
+            } while (true);
+            break;
+        case 5:
+            this.skip(4);
+            break;
+
+        /* istanbul ignore next */
+        default:
+            throw Error("invalid wire type " + wireType + " at offset " + this.pos);
+    }
+    return this;
+};
+
+Reader._configure = function(BufferReader_) {
+    BufferReader = BufferReader_;
+
+    var fn = util.Long ? "toLong" : /* istanbul ignore next */ "toNumber";
+    util.merge(Reader.prototype, {
+
+        int64: function read_int64() {
+            return readLongVarint.call(this)[fn](false);
+        },
+
+        uint64: function read_uint64() {
+            return readLongVarint.call(this)[fn](true);
+        },
+
+        sint64: function read_sint64() {
+            return readLongVarint.call(this).zzDecode()[fn](false);
+        },
+
+        fixed64: function read_fixed64() {
+            return readFixed64.call(this)[fn](true);
+        },
+
+        sfixed64: function read_sfixed64() {
+            return readFixed64.call(this)[fn](false);
+        }
+
+    });
+};
+
+},{"./util/minimal":59}],56:[function(require,module,exports) {
+"use strict";
+module.exports = BufferReader;
+
+// extends Reader
+var Reader = require("./reader");
+(BufferReader.prototype = Object.create(Reader.prototype)).constructor = BufferReader;
+
+var util = require("./util/minimal");
+
+/**
+ * Constructs a new buffer reader instance.
+ * @classdesc Wire format reader using node buffers.
+ * @extends Reader
+ * @constructor
+ * @param {Buffer} buffer Buffer to read from
+ */
+function BufferReader(buffer) {
+    Reader.call(this, buffer);
+
+    /**
+     * Read buffer.
+     * @name BufferReader#buf
+     * @type {Buffer}
+     */
+}
+
+/* istanbul ignore else */
+if (util.Buffer)
+    BufferReader.prototype._slice = util.Buffer.prototype.slice;
+
+/**
+ * @override
+ */
+BufferReader.prototype.string = function read_string_buffer() {
+    var len = this.uint32(); // modifies pos
+    return this.buf.utf8Slice(this.pos, this.pos = Math.min(this.pos + len, this.len));
+};
+
+/**
+ * Reads a sequence of bytes preceeded by its length as a varint.
+ * @name BufferReader#bytes
+ * @function
+ * @returns {Buffer} Value read
+ */
+
+},{"./reader":55,"./util/minimal":59}],60:[function(require,module,exports) {
+"use strict";
+module.exports = Service;
+
+var util = require("../util/minimal");
+
+// Extends EventEmitter
+(Service.prototype = Object.create(util.EventEmitter.prototype)).constructor = Service;
+
+/**
+ * A service method callback as used by {@link rpc.ServiceMethod|ServiceMethod}.
+ *
+ * Differs from {@link RPCImplCallback} in that it is an actual callback of a service method which may not return `response = null`.
+ * @typedef rpc.ServiceMethodCallback
+ * @template TRes extends Message<TRes>
+ * @type {function}
+ * @param {Error|null} error Error, if any
+ * @param {TRes} [response] Response message
+ * @returns {undefined}
+ */
+
+/**
+ * A service method part of a {@link rpc.Service} as created by {@link Service.create}.
+ * @typedef rpc.ServiceMethod
+ * @template TReq extends Message<TReq>
+ * @template TRes extends Message<TRes>
+ * @type {function}
+ * @param {TReq|Properties<TReq>} request Request message or plain object
+ * @param {rpc.ServiceMethodCallback<TRes>} [callback] Node-style callback called with the error, if any, and the response message
+ * @returns {Promise<Message<TRes>>} Promise if `callback` has been omitted, otherwise `undefined`
+ */
+
+/**
+ * Constructs a new RPC service instance.
+ * @classdesc An RPC service as returned by {@link Service#create}.
+ * @exports rpc.Service
+ * @extends util.EventEmitter
+ * @constructor
+ * @param {RPCImpl} rpcImpl RPC implementation
+ * @param {boolean} [requestDelimited=false] Whether requests are length-delimited
+ * @param {boolean} [responseDelimited=false] Whether responses are length-delimited
+ */
+function Service(rpcImpl, requestDelimited, responseDelimited) {
+
+    if (typeof rpcImpl !== "function")
+        throw TypeError("rpcImpl must be a function");
+
+    util.EventEmitter.call(this);
+
+    /**
+     * RPC implementation. Becomes `null` once the service is ended.
+     * @type {RPCImpl|null}
+     */
+    this.rpcImpl = rpcImpl;
+
+    /**
+     * Whether requests are length-delimited.
+     * @type {boolean}
+     */
+    this.requestDelimited = Boolean(requestDelimited);
+
+    /**
+     * Whether responses are length-delimited.
+     * @type {boolean}
+     */
+    this.responseDelimited = Boolean(responseDelimited);
+}
+
+/**
+ * Calls a service method through {@link rpc.Service#rpcImpl|rpcImpl}.
+ * @param {Method|rpc.ServiceMethod<TReq,TRes>} method Reflected or static method
+ * @param {Constructor<TReq>} requestCtor Request constructor
+ * @param {Constructor<TRes>} responseCtor Response constructor
+ * @param {TReq|Properties<TReq>} request Request message or plain object
+ * @param {rpc.ServiceMethodCallback<TRes>} callback Service callback
+ * @returns {undefined}
+ * @template TReq extends Message<TReq>
+ * @template TRes extends Message<TRes>
+ */
+Service.prototype.rpcCall = function rpcCall(method, requestCtor, responseCtor, request, callback) {
+
+    if (!request)
+        throw TypeError("request must be specified");
+
+    var self = this;
+    if (!callback)
+        return util.asPromise(rpcCall, self, method, requestCtor, responseCtor, request);
+
+    if (!self.rpcImpl) {
+        setTimeout(function() { callback(Error("already ended")); }, 0);
+        return undefined;
+    }
+
+    try {
+        return self.rpcImpl(
+            method,
+            requestCtor[self.requestDelimited ? "encodeDelimited" : "encode"](request).finish(),
+            function rpcCallback(err, response) {
+
+                if (err) {
+                    self.emit("error", err, method);
+                    return callback(err);
+                }
+
+                if (response === null) {
+                    self.end(/* endedByRPC */ true);
+                    return undefined;
+                }
+
+                if (!(response instanceof responseCtor)) {
+                    try {
+                        response = responseCtor[self.responseDelimited ? "decodeDelimited" : "decode"](response);
+                    } catch (err) {
+                        self.emit("error", err, method);
+                        return callback(err);
+                    }
+                }
+
+                self.emit("data", response, method);
+                return callback(null, response);
+            }
+        );
+    } catch (err) {
+        self.emit("error", err, method);
+        setTimeout(function() { callback(err); }, 0);
+        return undefined;
+    }
+};
+
+/**
+ * Ends this service and emits the `end` event.
+ * @param {boolean} [endedByRPC=false] Whether the service has been ended by the RPC implementation.
+ * @returns {rpc.Service} `this`
+ */
+Service.prototype.end = function end(endedByRPC) {
+    if (this.rpcImpl) {
+        if (!endedByRPC) // signal end to rpcImpl
+            this.rpcImpl(null, null, null);
+        this.rpcImpl = null;
+        this.emit("end").off();
+    }
+    return this;
+};
+
+},{"../util/minimal":59}],57:[function(require,module,exports) {
+"use strict";
+
+/**
+ * Streaming RPC helpers.
+ * @namespace
+ */
+var rpc = exports;
+
+/**
+ * RPC implementation passed to {@link Service#create} performing a service request on network level, i.e. by utilizing http requests or websockets.
+ * @typedef RPCImpl
+ * @type {function}
+ * @param {Method|rpc.ServiceMethod<Message<{}>,Message<{}>>} method Reflected or static method being called
+ * @param {Uint8Array} requestData Request data
+ * @param {RPCImplCallback} callback Callback function
+ * @returns {undefined}
+ * @example
+ * function rpcImpl(method, requestData, callback) {
+ *     if (protobuf.util.lcFirst(method.name) !== "myMethod") // compatible with static code
+ *         throw Error("no such method");
+ *     asynchronouslyObtainAResponse(requestData, function(err, responseData) {
+ *         callback(err, responseData);
+ *     });
+ * }
+ */
+
+/**
+ * Node-style callback as used by {@link RPCImpl}.
+ * @typedef RPCImplCallback
+ * @type {function}
+ * @param {Error|null} error Error, if any, otherwise `null`
+ * @param {Uint8Array|null} [response] Response data or `null` to signal end of stream, if there hasn't been an error
+ * @returns {undefined}
+ */
+
+rpc.Service = require("./rpc/service");
+
+},{"./rpc/service":60}],58:[function(require,module,exports) {
+"use strict";
+module.exports = {};
+
+/**
+ * Named roots.
+ * This is where pbjs stores generated structures (the option `-r, --root` specifies a name).
+ * Can also be used manually to make roots available accross modules.
+ * @name roots
+ * @type {Object.<string,Root>}
+ * @example
+ * // pbjs -r myroot -o compiled.js ...
+ *
+ * // in another module:
+ * require("./compiled.js");
+ *
+ * // in any subsequent module:
+ * var root = protobuf.roots["myroot"];
+ */
+
+},{}],52:[function(require,module,exports) {
+"use strict";
+var protobuf = exports;
+
+/**
+ * Build type, one of `"full"`, `"light"` or `"minimal"`.
+ * @name build
+ * @type {string}
+ * @const
+ */
+protobuf.build = "minimal";
+
+// Serialization
+protobuf.Writer       = require("./writer");
+protobuf.BufferWriter = require("./writer_buffer");
+protobuf.Reader       = require("./reader");
+protobuf.BufferReader = require("./reader_buffer");
+
+// Utility
+protobuf.util         = require("./util/minimal");
+protobuf.rpc          = require("./rpc");
+protobuf.roots        = require("./roots");
+protobuf.configure    = configure;
+
+/* istanbul ignore next */
+/**
+ * Reconfigures the library according to the environment.
+ * @returns {undefined}
+ */
+function configure() {
+    protobuf.Reader._configure(protobuf.BufferReader);
+    protobuf.util._configure();
+}
+
+// Configure serialization
+protobuf.Writer._configure(protobuf.BufferWriter);
+configure();
+
+},{"./writer":53,"./writer_buffer":54,"./reader":55,"./reader_buffer":56,"./util/minimal":59,"./rpc":57,"./roots":58}],51:[function(require,module,exports) {
+// minimal library entry point.
+
+"use strict";
+module.exports = require("./src/index-minimal");
+
+},{"./src/index-minimal":52}],13:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.default = exports.tensorflow = undefined;
+
+var _minimal = require("protobufjs/minimal");
+
+var $protobuf = _interopRequireWildcard(_minimal);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+const $Reader = $protobuf.Reader,
+      $util = $protobuf.util; /*eslint-disable block-scoped-var, no-redeclare, no-control-regex, no-prototype-builtins*/
+
+
+const $root = $protobuf.roots["default"] || ($protobuf.roots["default"] = {});
+
+const tensorflow = exports.tensorflow = $root.tensorflow = function () {
+
+    const tensorflow = {};
+
+    tensorflow.Any = function () {
+
+        function Any(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        Any.prototype.typeUrl = "";
+        Any.prototype.value = $util.newBuffer([]);
+
+        Any.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.Any();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.typeUrl = r.string();
+                        break;
+                    case 2:
+                        m.value = r.bytes();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return Any;
+    }();
+
+    tensorflow.DataType = function () {
+        const valuesById = {},
+              values = Object.create(valuesById);
+        values[valuesById[0] = "DT_INVALID"] = 0;
+        values[valuesById[1] = "DT_FLOAT"] = 1;
+        values[valuesById[2] = "DT_DOUBLE"] = 2;
+        values[valuesById[3] = "DT_INT32"] = 3;
+        values[valuesById[4] = "DT_UINT8"] = 4;
+        values[valuesById[5] = "DT_INT16"] = 5;
+        values[valuesById[6] = "DT_INT8"] = 6;
+        values[valuesById[7] = "DT_STRING"] = 7;
+        values[valuesById[8] = "DT_COMPLEX64"] = 8;
+        values[valuesById[9] = "DT_INT64"] = 9;
+        values[valuesById[10] = "DT_BOOL"] = 10;
+        values[valuesById[11] = "DT_QINT8"] = 11;
+        values[valuesById[12] = "DT_QUINT8"] = 12;
+        values[valuesById[13] = "DT_QINT32"] = 13;
+        values[valuesById[14] = "DT_BFLOAT16"] = 14;
+        values[valuesById[101] = "DT_FLOAT_REF"] = 101;
+        values[valuesById[102] = "DT_DOUBLE_REF"] = 102;
+        values[valuesById[103] = "DT_INT32_REF"] = 103;
+        values[valuesById[104] = "DT_UINT8_REF"] = 104;
+        values[valuesById[105] = "DT_INT16_REF"] = 105;
+        values[valuesById[106] = "DT_INT8_REF"] = 106;
+        values[valuesById[107] = "DT_STRING_REF"] = 107;
+        values[valuesById[108] = "DT_COMPLEX64_REF"] = 108;
+        values[valuesById[109] = "DT_INT64_REF"] = 109;
+        values[valuesById[110] = "DT_BOOL_REF"] = 110;
+        values[valuesById[111] = "DT_QINT8_REF"] = 111;
+        values[valuesById[112] = "DT_QUINT8_REF"] = 112;
+        values[valuesById[113] = "DT_QINT32_REF"] = 113;
+        values[valuesById[114] = "DT_BFLOAT16_REF"] = 114;
+        return values;
+    }();
+
+    tensorflow.TensorShape = function () {
+
+        function TensorShape(p) {
+            this.dim = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        TensorShape.prototype.dim = $util.emptyArray;
+        TensorShape.prototype.unknownRank = false;
+
+        TensorShape.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.TensorShape();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 2:
+                        if (!(m.dim && m.dim.length)) m.dim = [];
+                        m.dim.push($root.tensorflow.TensorShape.Dim.decode(r, r.uint32()));
+                        break;
+                    case 3:
+                        m.unknownRank = r.bool();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        TensorShape.Dim = function () {
+
+            function Dim(p) {
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            Dim.prototype.size = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;
+            Dim.prototype.name = "";
+
+            Dim.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.TensorShape.Dim();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.size = r.int64();
+                            break;
+                        case 2:
+                            m.name = r.string();
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return Dim;
+        }();
+
+        return TensorShape;
+    }();
+
+    tensorflow.Tensor = function () {
+
+        function Tensor(p) {
+            this.floatVal = [];
+            this.doubleVal = [];
+            this.intVal = [];
+            this.stringVal = [];
+            this.scomplexVal = [];
+            this.int64Val = [];
+            this.boolVal = [];
+            this.uint32Val = [];
+            this.uint64Val = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        Tensor.prototype.dtype = 0;
+        Tensor.prototype.tensorShape = null;
+        Tensor.prototype.versionNumber = 0;
+        Tensor.prototype.tensorContent = $util.newBuffer([]);
+        Tensor.prototype.floatVal = $util.emptyArray;
+        Tensor.prototype.doubleVal = $util.emptyArray;
+        Tensor.prototype.intVal = $util.emptyArray;
+        Tensor.prototype.stringVal = $util.emptyArray;
+        Tensor.prototype.scomplexVal = $util.emptyArray;
+        Tensor.prototype.int64Val = $util.emptyArray;
+        Tensor.prototype.boolVal = $util.emptyArray;
+        Tensor.prototype.uint32Val = $util.emptyArray;
+        Tensor.prototype.uint64Val = $util.emptyArray;
+
+        Tensor.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.Tensor();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.dtype = r.int32();
+                        break;
+                    case 2:
+                        m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());
+                        break;
+                    case 3:
+                        m.versionNumber = r.int32();
+                        break;
+                    case 4:
+                        m.tensorContent = r.bytes();
+                        break;
+                    case 5:
+                        if (!(m.floatVal && m.floatVal.length)) m.floatVal = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.floatVal.push(r.float());
+                        } else m.floatVal.push(r.float());
+                        break;
+                    case 6:
+                        if (!(m.doubleVal && m.doubleVal.length)) m.doubleVal = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.doubleVal.push(r.double());
+                        } else m.doubleVal.push(r.double());
+                        break;
+                    case 7:
+                        if (!(m.intVal && m.intVal.length)) m.intVal = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.intVal.push(r.int32());
+                        } else m.intVal.push(r.int32());
+                        break;
+                    case 8:
+                        if (!(m.stringVal && m.stringVal.length)) m.stringVal = [];
+                        m.stringVal.push(r.bytes());
+                        break;
+                    case 9:
+                        if (!(m.scomplexVal && m.scomplexVal.length)) m.scomplexVal = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.scomplexVal.push(r.float());
+                        } else m.scomplexVal.push(r.float());
+                        break;
+                    case 10:
+                        if (!(m.int64Val && m.int64Val.length)) m.int64Val = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.int64Val.push(r.int64());
+                        } else m.int64Val.push(r.int64());
+                        break;
+                    case 11:
+                        if (!(m.boolVal && m.boolVal.length)) m.boolVal = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.boolVal.push(r.bool());
+                        } else m.boolVal.push(r.bool());
+                        break;
+                    case 16:
+                        if (!(m.uint32Val && m.uint32Val.length)) m.uint32Val = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.uint32Val.push(r.uint32());
+                        } else m.uint32Val.push(r.uint32());
+                        break;
+                    case 17:
+                        if (!(m.uint64Val && m.uint64Val.length)) m.uint64Val = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.uint64Val.push(r.uint64());
+                        } else m.uint64Val.push(r.uint64());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return Tensor;
+    }();
+
+    tensorflow.AttrValue = function () {
+
+        function AttrValue(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        AttrValue.prototype.list = null;
+        AttrValue.prototype.s = $util.newBuffer([]);
+        AttrValue.prototype.i = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;
+        AttrValue.prototype.f = 0;
+        AttrValue.prototype.b = false;
+        AttrValue.prototype.type = 0;
+        AttrValue.prototype.shape = null;
+        AttrValue.prototype.tensor = null;
+        AttrValue.prototype.placeholder = "";
+        AttrValue.prototype.func = null;
+
+        let $oneOfFields;
+
+        Object.defineProperty(AttrValue.prototype, "value", {
+            get: $util.oneOfGetter($oneOfFields = ["list", "s", "i", "f", "b", "type", "shape", "tensor", "placeholder", "func"]),
+            set: $util.oneOfSetter($oneOfFields)
+        });
+
+        AttrValue.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.AttrValue();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.list = $root.tensorflow.AttrValue.ListValue.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.s = r.bytes();
+                        break;
+                    case 3:
+                        m.i = r.int64();
+                        break;
+                    case 4:
+                        m.f = r.float();
+                        break;
+                    case 5:
+                        m.b = r.bool();
+                        break;
+                    case 6:
+                        m.type = r.int32();
+                        break;
+                    case 7:
+                        m.shape = $root.tensorflow.TensorShape.decode(r, r.uint32());
+                        break;
+                    case 8:
+                        m.tensor = $root.tensorflow.Tensor.decode(r, r.uint32());
+                        break;
+                    case 9:
+                        m.placeholder = r.string();
+                        break;
+                    case 10:
+                        m.func = $root.tensorflow.NameAttrList.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        AttrValue.ListValue = function () {
+
+            function ListValue(p) {
+                this.s = [];
+                this.i = [];
+                this.f = [];
+                this.b = [];
+                this.type = [];
+                this.shape = [];
+                this.tensor = [];
+                this.func = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            ListValue.prototype.s = $util.emptyArray;
+            ListValue.prototype.i = $util.emptyArray;
+            ListValue.prototype.f = $util.emptyArray;
+            ListValue.prototype.b = $util.emptyArray;
+            ListValue.prototype.type = $util.emptyArray;
+            ListValue.prototype.shape = $util.emptyArray;
+            ListValue.prototype.tensor = $util.emptyArray;
+            ListValue.prototype.func = $util.emptyArray;
+
+            ListValue.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.AttrValue.ListValue();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 2:
+                            if (!(m.s && m.s.length)) m.s = [];
+                            m.s.push(r.bytes());
+                            break;
+                        case 3:
+                            if (!(m.i && m.i.length)) m.i = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.i.push(r.int64());
+                            } else m.i.push(r.int64());
+                            break;
+                        case 4:
+                            if (!(m.f && m.f.length)) m.f = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.f.push(r.float());
+                            } else m.f.push(r.float());
+                            break;
+                        case 5:
+                            if (!(m.b && m.b.length)) m.b = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.b.push(r.bool());
+                            } else m.b.push(r.bool());
+                            break;
+                        case 6:
+                            if (!(m.type && m.type.length)) m.type = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.type.push(r.int32());
+                            } else m.type.push(r.int32());
+                            break;
+                        case 7:
+                            if (!(m.shape && m.shape.length)) m.shape = [];
+                            m.shape.push($root.tensorflow.TensorShape.decode(r, r.uint32()));
+                            break;
+                        case 8:
+                            if (!(m.tensor && m.tensor.length)) m.tensor = [];
+                            m.tensor.push($root.tensorflow.Tensor.decode(r, r.uint32()));
+                            break;
+                        case 9:
+                            if (!(m.func && m.func.length)) m.func = [];
+                            m.func.push($root.tensorflow.NameAttrList.decode(r, r.uint32()));
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return ListValue;
+        }();
+
+        return AttrValue;
+    }();
+
+    tensorflow.NameAttrList = function () {
+
+        function NameAttrList(p) {
+            this.attr = {};
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        NameAttrList.prototype.name = "";
+        NameAttrList.prototype.attr = $util.emptyObject;
+
+        NameAttrList.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.NameAttrList(),
+                k;
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.name = r.string();
+                        break;
+                    case 2:
+                        r.skip().pos++;
+                        if (m.attr === $util.emptyObject) m.attr = {};
+                        k = r.string();
+                        r.pos++;
+                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return NameAttrList;
+    }();
+
+    tensorflow.NodeDef = function () {
+
+        function NodeDef(p) {
+            this.input = [];
+            this.attr = {};
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        NodeDef.prototype.name = "";
+        NodeDef.prototype.op = "";
+        NodeDef.prototype.input = $util.emptyArray;
+        NodeDef.prototype.device = "";
+        NodeDef.prototype.attr = $util.emptyObject;
+
+        NodeDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.NodeDef(),
+                k;
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.name = r.string();
+                        break;
+                    case 2:
+                        m.op = r.string();
+                        break;
+                    case 3:
+                        if (!(m.input && m.input.length)) m.input = [];
+                        m.input.push(r.string());
+                        break;
+                    case 4:
+                        m.device = r.string();
+                        break;
+                    case 5:
+                        r.skip().pos++;
+                        if (m.attr === $util.emptyObject) m.attr = {};
+                        k = r.string();
+                        r.pos++;
+                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return NodeDef;
+    }();
+
+    tensorflow.VersionDef = function () {
+
+        function VersionDef(p) {
+            this.badConsumers = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        VersionDef.prototype.producer = 0;
+        VersionDef.prototype.minConsumer = 0;
+        VersionDef.prototype.badConsumers = $util.emptyArray;
+
+        VersionDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.VersionDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.producer = r.int32();
+                        break;
+                    case 2:
+                        m.minConsumer = r.int32();
+                        break;
+                    case 3:
+                        if (!(m.badConsumers && m.badConsumers.length)) m.badConsumers = [];
+                        if ((t & 7) === 2) {
+                            var c2 = r.uint32() + r.pos;
+                            while (r.pos < c2) m.badConsumers.push(r.int32());
+                        } else m.badConsumers.push(r.int32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return VersionDef;
+    }();
+
+    tensorflow.GraphDef = function () {
+
+        function GraphDef(p) {
+            this.node = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        GraphDef.prototype.node = $util.emptyArray;
+        GraphDef.prototype.versions = null;
+        GraphDef.prototype.library = null;
+
+        GraphDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.GraphDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        if (!(m.node && m.node.length)) m.node = [];
+                        m.node.push($root.tensorflow.NodeDef.decode(r, r.uint32()));
+                        break;
+                    case 4:
+                        m.versions = $root.tensorflow.VersionDef.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.library = $root.tensorflow.FunctionDefLibrary.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return GraphDef;
+    }();
+
+    tensorflow.CollectionDef = function () {
+
+        function CollectionDef(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        CollectionDef.prototype.nodeList = null;
+        CollectionDef.prototype.bytesList = null;
+        CollectionDef.prototype.int64List = null;
+        CollectionDef.prototype.floatList = null;
+        CollectionDef.prototype.anyList = null;
+
+        let $oneOfFields;
+
+        Object.defineProperty(CollectionDef.prototype, "kind", {
+            get: $util.oneOfGetter($oneOfFields = ["nodeList", "bytesList", "int64List", "floatList", "anyList"]),
+            set: $util.oneOfSetter($oneOfFields)
+        });
+
+        CollectionDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.CollectionDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.nodeList = $root.tensorflow.CollectionDef.NodeList.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.bytesList = $root.tensorflow.CollectionDef.BytesList.decode(r, r.uint32());
+                        break;
+                    case 3:
+                        m.int64List = $root.tensorflow.CollectionDef.Int64List.decode(r, r.uint32());
+                        break;
+                    case 4:
+                        m.floatList = $root.tensorflow.CollectionDef.FloatList.decode(r, r.uint32());
+                        break;
+                    case 5:
+                        m.anyList = $root.tensorflow.CollectionDef.AnyList.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        CollectionDef.NodeList = function () {
+
+            function NodeList(p) {
+                this.value = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            NodeList.prototype.value = $util.emptyArray;
+
+            NodeList.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.CollectionDef.NodeList();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            if (!(m.value && m.value.length)) m.value = [];
+                            m.value.push(r.string());
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return NodeList;
+        }();
+
+        CollectionDef.BytesList = function () {
+
+            function BytesList(p) {
+                this.value = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            BytesList.prototype.value = $util.emptyArray;
+
+            BytesList.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.CollectionDef.BytesList();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            if (!(m.value && m.value.length)) m.value = [];
+                            m.value.push(r.bytes());
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return BytesList;
+        }();
+
+        CollectionDef.Int64List = function () {
+
+            function Int64List(p) {
+                this.value = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            Int64List.prototype.value = $util.emptyArray;
+
+            Int64List.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.CollectionDef.Int64List();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            if (!(m.value && m.value.length)) m.value = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.value.push(r.int64());
+                            } else m.value.push(r.int64());
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return Int64List;
+        }();
+
+        CollectionDef.FloatList = function () {
+
+            function FloatList(p) {
+                this.value = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            FloatList.prototype.value = $util.emptyArray;
+
+            FloatList.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.CollectionDef.FloatList();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            if (!(m.value && m.value.length)) m.value = [];
+                            if ((t & 7) === 2) {
+                                var c2 = r.uint32() + r.pos;
+                                while (r.pos < c2) m.value.push(r.float());
+                            } else m.value.push(r.float());
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return FloatList;
+        }();
+
+        CollectionDef.AnyList = function () {
+
+            function AnyList(p) {
+                this.value = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            AnyList.prototype.value = $util.emptyArray;
+
+            AnyList.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.CollectionDef.AnyList();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            if (!(m.value && m.value.length)) m.value = [];
+                            m.value.push($root.tensorflow.Any.decode(r, r.uint32()));
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return AnyList;
+        }();
+
+        return CollectionDef;
+    }();
+
+    tensorflow.SaverDef = function () {
+
+        function SaverDef(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        SaverDef.prototype.filenameTensorName = "";
+        SaverDef.prototype.saveTensorName = "";
+        SaverDef.prototype.restoreOpName = "";
+        SaverDef.prototype.maxToKeep = 0;
+        SaverDef.prototype.sharded = false;
+        SaverDef.prototype.keepCheckpointEveryNHours = 0;
+        SaverDef.prototype.version = 0;
+
+        SaverDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.SaverDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.filenameTensorName = r.string();
+                        break;
+                    case 2:
+                        m.saveTensorName = r.string();
+                        break;
+                    case 3:
+                        m.restoreOpName = r.string();
+                        break;
+                    case 4:
+                        m.maxToKeep = r.int32();
+                        break;
+                    case 5:
+                        m.sharded = r.bool();
+                        break;
+                    case 6:
+                        m.keepCheckpointEveryNHours = r.float();
+                        break;
+                    case 7:
+                        m.version = r.int32();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        SaverDef.CheckpointFormatVersion = function () {
+            const valuesById = {},
+                  values = Object.create(valuesById);
+            values[valuesById[0] = "LEGACY"] = 0;
+            values[valuesById[1] = "V1"] = 1;
+            values[valuesById[2] = "V2"] = 2;
+            return values;
+        }();
+
+        return SaverDef;
+    }();
+
+    tensorflow.TensorInfo = function () {
+
+        function TensorInfo(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        TensorInfo.prototype.name = "";
+        TensorInfo.prototype.cooSparse = null;
+        TensorInfo.prototype.dtype = 0;
+        TensorInfo.prototype.tensorShape = null;
+
+        let $oneOfFields;
+
+        Object.defineProperty(TensorInfo.prototype, "encoding", {
+            get: $util.oneOfGetter($oneOfFields = ["name", "cooSparse"]),
+            set: $util.oneOfSetter($oneOfFields)
+        });
+
+        TensorInfo.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.TensorInfo();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.name = r.string();
+                        break;
+                    case 4:
+                        m.cooSparse = $root.tensorflow.TensorInfo.CooSparse.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.dtype = r.int32();
+                        break;
+                    case 3:
+                        m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        TensorInfo.CooSparse = function () {
+
+            function CooSparse(p) {
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            CooSparse.prototype.valuesTensorName = "";
+            CooSparse.prototype.indicesTensorName = "";
+            CooSparse.prototype.denseShapeTensorName = "";
+
+            CooSparse.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.TensorInfo.CooSparse();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.valuesTensorName = r.string();
+                            break;
+                        case 2:
+                            m.indicesTensorName = r.string();
+                            break;
+                        case 3:
+                            m.denseShapeTensorName = r.string();
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return CooSparse;
+        }();
+
+        return TensorInfo;
+    }();
+
+    tensorflow.SignatureDef = function () {
+
+        function SignatureDef(p) {
+            this.inputs = {};
+            this.outputs = {};
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        SignatureDef.prototype.inputs = $util.emptyObject;
+        SignatureDef.prototype.outputs = $util.emptyObject;
+        SignatureDef.prototype.methodName = "";
+
+        SignatureDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.SignatureDef(),
+                k;
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        r.skip().pos++;
+                        if (m.inputs === $util.emptyObject) m.inputs = {};
+                        k = r.string();
+                        r.pos++;
+                        m.inputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        r.skip().pos++;
+                        if (m.outputs === $util.emptyObject) m.outputs = {};
+                        k = r.string();
+                        r.pos++;
+                        m.outputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());
+                        break;
+                    case 3:
+                        m.methodName = r.string();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return SignatureDef;
+    }();
+
+    tensorflow.AssetFileDef = function () {
+
+        function AssetFileDef(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        AssetFileDef.prototype.tensorInfo = null;
+        AssetFileDef.prototype.filename = "";
+
+        AssetFileDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.AssetFileDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.tensorInfo = $root.tensorflow.TensorInfo.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.filename = r.string();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return AssetFileDef;
+    }();
+
+    tensorflow.OpDef = function () {
+
+        function OpDef(p) {
+            this.inputArg = [];
+            this.outputArg = [];
+            this.attr = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        OpDef.prototype.name = "";
+        OpDef.prototype.inputArg = $util.emptyArray;
+        OpDef.prototype.outputArg = $util.emptyArray;
+        OpDef.prototype.attr = $util.emptyArray;
+        OpDef.prototype.deprecation = null;
+        OpDef.prototype.summary = "";
+        OpDef.prototype.description = "";
+        OpDef.prototype.isCommutative = false;
+        OpDef.prototype.isAggregate = false;
+        OpDef.prototype.isStateful = false;
+        OpDef.prototype.allowsUninitializedInput = false;
+
+        OpDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.OpDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.name = r.string();
+                        break;
+                    case 2:
+                        if (!(m.inputArg && m.inputArg.length)) m.inputArg = [];
+                        m.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));
+                        break;
+                    case 3:
+                        if (!(m.outputArg && m.outputArg.length)) m.outputArg = [];
+                        m.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));
+                        break;
+                    case 4:
+                        if (!(m.attr && m.attr.length)) m.attr = [];
+                        m.attr.push($root.tensorflow.OpDef.AttrDef.decode(r, r.uint32()));
+                        break;
+                    case 8:
+                        m.deprecation = $root.tensorflow.OpDef.OpDeprecation.decode(r, r.uint32());
+                        break;
+                    case 5:
+                        m.summary = r.string();
+                        break;
+                    case 6:
+                        m.description = r.string();
+                        break;
+                    case 18:
+                        m.isCommutative = r.bool();
+                        break;
+                    case 16:
+                        m.isAggregate = r.bool();
+                        break;
+                    case 17:
+                        m.isStateful = r.bool();
+                        break;
+                    case 19:
+                        m.allowsUninitializedInput = r.bool();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        OpDef.ArgDef = function () {
+
+            function ArgDef(p) {
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            ArgDef.prototype.name = "";
+            ArgDef.prototype.description = "";
+            ArgDef.prototype.type = 0;
+            ArgDef.prototype.typeAttr = "";
+            ArgDef.prototype.numberAttr = "";
+            ArgDef.prototype.typeListAttr = "";
+            ArgDef.prototype.isRef = false;
+
+            ArgDef.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.OpDef.ArgDef();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.name = r.string();
+                            break;
+                        case 2:
+                            m.description = r.string();
+                            break;
+                        case 3:
+                            m.type = r.int32();
+                            break;
+                        case 4:
+                            m.typeAttr = r.string();
+                            break;
+                        case 5:
+                            m.numberAttr = r.string();
+                            break;
+                        case 6:
+                            m.typeListAttr = r.string();
+                            break;
+                        case 16:
+                            m.isRef = r.bool();
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return ArgDef;
+        }();
+
+        OpDef.AttrDef = function () {
+
+            function AttrDef(p) {
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            AttrDef.prototype.name = "";
+            AttrDef.prototype.type = "";
+            AttrDef.prototype.defaultValue = null;
+            AttrDef.prototype.description = "";
+            AttrDef.prototype.hasMinimum = false;
+            AttrDef.prototype.minimum = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;
+            AttrDef.prototype.allowedValues = null;
+
+            AttrDef.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.OpDef.AttrDef();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.name = r.string();
+                            break;
+                        case 2:
+                            m.type = r.string();
+                            break;
+                        case 3:
+                            m.defaultValue = $root.tensorflow.AttrValue.decode(r, r.uint32());
+                            break;
+                        case 4:
+                            m.description = r.string();
+                            break;
+                        case 5:
+                            m.hasMinimum = r.bool();
+                            break;
+                        case 6:
+                            m.minimum = r.int64();
+                            break;
+                        case 7:
+                            m.allowedValues = $root.tensorflow.AttrValue.decode(r, r.uint32());
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return AttrDef;
+        }();
+
+        OpDef.OpDeprecation = function () {
+
+            function OpDeprecation(p) {
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            OpDeprecation.prototype.version = 0;
+            OpDeprecation.prototype.explanation = "";
+
+            OpDeprecation.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.OpDef.OpDeprecation();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.version = r.int32();
+                            break;
+                        case 2:
+                            m.explanation = r.string();
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return OpDeprecation;
+        }();
+
+        return OpDef;
+    }();
+
+    tensorflow.OpList = function () {
+
+        function OpList(p) {
+            this.op = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        OpList.prototype.op = $util.emptyArray;
+
+        OpList.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.OpList();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        if (!(m.op && m.op.length)) m.op = [];
+                        m.op.push($root.tensorflow.OpDef.decode(r, r.uint32()));
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return OpList;
+    }();
+
+    tensorflow.MetaGraphDef = function () {
+
+        function MetaGraphDef(p) {
+            this.collectionDef = {};
+            this.signatureDef = {};
+            this.assetFileDef = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        MetaGraphDef.prototype.metaInfoDef = null;
+        MetaGraphDef.prototype.graphDef = null;
+        MetaGraphDef.prototype.saverDef = null;
+        MetaGraphDef.prototype.collectionDef = $util.emptyObject;
+        MetaGraphDef.prototype.signatureDef = $util.emptyObject;
+        MetaGraphDef.prototype.assetFileDef = $util.emptyArray;
+
+        MetaGraphDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.MetaGraphDef(),
+                k;
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.metaInfoDef = $root.tensorflow.MetaGraphDef.MetaInfoDef.decode(r, r.uint32());
+                        break;
+                    case 2:
+                        m.graphDef = $root.tensorflow.GraphDef.decode(r, r.uint32());
+                        break;
+                    case 3:
+                        m.saverDef = $root.tensorflow.SaverDef.decode(r, r.uint32());
+                        break;
+                    case 4:
+                        r.skip().pos++;
+                        if (m.collectionDef === $util.emptyObject) m.collectionDef = {};
+                        k = r.string();
+                        r.pos++;
+                        m.collectionDef[k] = $root.tensorflow.CollectionDef.decode(r, r.uint32());
+                        break;
+                    case 5:
+                        r.skip().pos++;
+                        if (m.signatureDef === $util.emptyObject) m.signatureDef = {};
+                        k = r.string();
+                        r.pos++;
+                        m.signatureDef[k] = $root.tensorflow.SignatureDef.decode(r, r.uint32());
+                        break;
+                    case 6:
+                        if (!(m.assetFileDef && m.assetFileDef.length)) m.assetFileDef = [];
+                        m.assetFileDef.push($root.tensorflow.AssetFileDef.decode(r, r.uint32()));
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        MetaGraphDef.MetaInfoDef = function () {
+
+            function MetaInfoDef(p) {
+                this.tags = [];
+                if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+            }
+
+            MetaInfoDef.prototype.metaGraphVersion = "";
+            MetaInfoDef.prototype.strippedOpList = null;
+            MetaInfoDef.prototype.anyInfo = null;
+            MetaInfoDef.prototype.tags = $util.emptyArray;
+            MetaInfoDef.prototype.tensorflowVersion = "";
+            MetaInfoDef.prototype.tensorflowGitVersion = "";
+
+            MetaInfoDef.decode = function decode(r, l) {
+                if (!(r instanceof $Reader)) r = $Reader.create(r);
+                var c = l === undefined ? r.len : r.pos + l,
+                    m = new $root.tensorflow.MetaGraphDef.MetaInfoDef();
+                while (r.pos < c) {
+                    var t = r.uint32();
+                    switch (t >>> 3) {
+                        case 1:
+                            m.metaGraphVersion = r.string();
+                            break;
+                        case 2:
+                            m.strippedOpList = $root.tensorflow.OpList.decode(r, r.uint32());
+                            break;
+                        case 3:
+                            m.anyInfo = $root.tensorflow.Any.decode(r, r.uint32());
+                            break;
+                        case 4:
+                            if (!(m.tags && m.tags.length)) m.tags = [];
+                            m.tags.push(r.string());
+                            break;
+                        case 5:
+                            m.tensorflowVersion = r.string();
+                            break;
+                        case 6:
+                            m.tensorflowGitVersion = r.string();
+                            break;
+                        default:
+                            r.skipType(t & 7);
+                            break;
+                    }
+                }
+                return m;
+            };
+
+            return MetaInfoDef;
+        }();
+
+        return MetaGraphDef;
+    }();
+
+    tensorflow.SavedModel = function () {
+
+        function SavedModel(p) {
+            this.metaGraphs = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        SavedModel.prototype.savedModelSchemaVersion = $util.Long ? $util.Long.fromBits(0, 0, false) : 0;
+        SavedModel.prototype.metaGraphs = $util.emptyArray;
+
+        SavedModel.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.SavedModel();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.savedModelSchemaVersion = r.int64();
+                        break;
+                    case 2:
+                        if (!(m.metaGraphs && m.metaGraphs.length)) m.metaGraphs = [];
+                        m.metaGraphs.push($root.tensorflow.MetaGraphDef.decode(r, r.uint32()));
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return SavedModel;
+    }();
+
+    tensorflow.FunctionDefLibrary = function () {
+
+        function FunctionDefLibrary(p) {
+            this["function"] = [];
+            this.gradient = [];
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        FunctionDefLibrary.prototype["function"] = $util.emptyArray;
+        FunctionDefLibrary.prototype.gradient = $util.emptyArray;
+
+        FunctionDefLibrary.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.FunctionDefLibrary();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        if (!(m["function"] && m["function"].length)) m["function"] = [];
+                        m["function"].push($root.tensorflow.FunctionDef.decode(r, r.uint32()));
+                        break;
+                    case 2:
+                        if (!(m.gradient && m.gradient.length)) m.gradient = [];
+                        m.gradient.push($root.tensorflow.GradientDef.decode(r, r.uint32()));
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return FunctionDefLibrary;
+    }();
+
+    tensorflow.FunctionDef = function () {
+
+        function FunctionDef(p) {
+            this.attr = {};
+            this.nodeDef = [];
+            this.ret = {};
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        FunctionDef.prototype.signature = null;
+        FunctionDef.prototype.attr = $util.emptyObject;
+        FunctionDef.prototype.nodeDef = $util.emptyArray;
+        FunctionDef.prototype.ret = $util.emptyObject;
+
+        FunctionDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.FunctionDef(),
+                k;
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.signature = $root.tensorflow.OpDef.decode(r, r.uint32());
+                        break;
+                    case 5:
+                        r.skip().pos++;
+                        if (m.attr === $util.emptyObject) m.attr = {};
+                        k = r.string();
+                        r.pos++;
+                        m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());
+                        break;
+                    case 3:
+                        if (!(m.nodeDef && m.nodeDef.length)) m.nodeDef = [];
+                        m.nodeDef.push($root.tensorflow.NodeDef.decode(r, r.uint32()));
+                        break;
+                    case 4:
+                        r.skip().pos++;
+                        if (m.ret === $util.emptyObject) m.ret = {};
+                        k = r.string();
+                        r.pos++;
+                        m.ret[k] = r.string();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return FunctionDef;
+    }();
+
+    tensorflow.GradientDef = function () {
+
+        function GradientDef(p) {
+            if (p) for (var ks = Object.keys(p), i = 0; i < ks.length; ++i) if (p[ks[i]] != null) this[ks[i]] = p[ks[i]];
+        }
+
+        GradientDef.prototype.functionName = "";
+        GradientDef.prototype.gradientFunc = "";
+
+        GradientDef.decode = function decode(r, l) {
+            if (!(r instanceof $Reader)) r = $Reader.create(r);
+            var c = l === undefined ? r.len : r.pos + l,
+                m = new $root.tensorflow.GradientDef();
+            while (r.pos < c) {
+                var t = r.uint32();
+                switch (t >>> 3) {
+                    case 1:
+                        m.functionName = r.string();
+                        break;
+                    case 2:
+                        m.gradientFunc = r.string();
+                        break;
+                    default:
+                        r.skipType(t & 7);
+                        break;
+                }
+            }
+            return m;
+        };
+
+        return GradientDef;
+    }();
+
+    return tensorflow;
+}();
+
+exports.default = $root;
+},{"protobufjs/minimal":51}],35:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.getParamValue = getParamValue;
+exports.getTensor = getTensor;
+exports.getNodeNameAndIndex = getNodeNameAndIndex;
+exports.parseNodeName = parseNodeName;
+exports.split = split;
+function getParamValue(paramName, node, tensorMap, context) {
+    var param = node.params[paramName];
+    if (param && param.inputIndex !== undefined) {
+        if (param.type === 'tensor') {
+            return getTensor(node.inputNames[param.inputIndex], tensorMap, context);
+        }
+        if (param.type === 'tensors') {
+            var inputs = param.inputIndex === 0 ? param.inputParamLength === 0 ? node.inputNames : node.inputNames.slice(param.inputIndex, -param.inputParamLength) : node.inputNames.splice(param.inputIndex);
+            return inputs.map(function (name) {
+                return getTensor(name, tensorMap, context);
+            });
+        }
+        var data = Array.prototype.slice.call(getTensor(node.inputNames.slice(param.inputIndex)[0], tensorMap, context).dataSync());
+        return param.type === 'number' ? data[0] : data;
+    }
+    return param && param.value;
+}
+function getTensor(name, tensorsMap, context) {
+    var _a = parseNodeName(name),
+        nodeName = _a[0],
+        index = _a[1];
+    var contextId = context.currentContextIds.find(function (contextId) {
+        return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];
+    });
+    return contextId !== undefined ? tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] : undefined;
+}
+function getNodeNameAndIndex(inputName, context) {
+    var _a = parseNodeName(inputName),
+        nodeName = _a[0],
+        index = _a[1];
+    return [getNodeNameWithContextId(nodeName, context && context.currentContextId), index];
+}
+function getNodeNameWithContextId(name, contextId) {
+    return !!contextId ? name + "-" + contextId : name;
+}
+function parseNodeName(name) {
+    var index = name.lastIndexOf(':');
+    if (index === -1) return [name, 0];
+    var nodeName = name.substring(0, index);
+    return [nodeName, Number(name.substring(index + 1))];
+}
+function split(arr, size) {
+    var res = [];
+    for (var i = 0; i < arr.length; i += size) {
+        res.push(arr.slice(i, i + size));
+    }
+    return res;
+}
+//# sourceMappingURL=utils.js.map
+},{}],22:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Add",
+    "dlOpName": "add",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "BiasAdd",
+    "dlOpName": "add",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sub",
+    "dlOpName": "sub",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "RealDiv",
+    "dlOpName": "div",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Div",
+    "dlOpName": "div",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "FloorDiv",
+    "dlOpName": "floorDiv",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Mul",
+    "dlOpName": "mul",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Maximum",
+    "dlOpName": "maximum",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Minimum",
+    "dlOpName": "minimum",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Pow",
+    "dlOpName": "pow",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "SquaredDifference",
+    "dlOpName": "squaredDifference",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Mod",
+    "dlOpName": "mod",
+    "category": "arithmetic",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],23:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Abs",
+    "dlOpName": "abs",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Acos",
+    "dlOpName": "acos",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Asin",
+    "dlOpName": "asin",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "atan",
+    "dlOpName": "atan",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Ceil",
+    "dlOpName": "ceil",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "ClipByValue",
+    "dlOpName": "clipByValue",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "clip_value_min",
+        "dlParamName": "clipValueMin",
+        "type": "number"
+      },
+      {
+        "tfParamName": "clip_value_max",
+        "dlParamName": "clipValueMax",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Cos",
+    "dlOpName": "cos",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Cosh",
+    "dlOpName": "cosh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Elu",
+    "dlOpName": "elu",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Exp",
+    "dlOpName": "exp",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Floor",
+    "dlOpName": "floor",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Log",
+    "dlOpName": "log",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Neg",
+    "dlOpName": "neg",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Relu",
+    "dlOpName": "relu",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Relu6",
+    "dlOpName": "clipByValue",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      },
+      {
+        "dlParamName": "clipValueMin",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "dlParamName": "clipValueMax",
+        "type": "number",
+        "defaultValue": 6
+      }
+    ]
+  },
+  {
+    "tfOpName": "Selu",
+    "dlOpName": "selu",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sigmoid",
+    "dlOpName": "sigmoid",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sin",
+    "dlOpName": "sin",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sinh",
+    "dlOpName": "sinh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sqrt",
+    "dlOpName": "sqrt",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Rsqrt",
+    "dlOpName": "rsqrt",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Square",
+    "dlOpName": "square",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Tan",
+    "dlOpName": "tan",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Tanh",
+    "dlOpName": "tanh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sign",
+    "dlOpName": "sign",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Round",
+    "dlOpName": "round",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Expm1",
+    "dlOpName": "expm1",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Log1p",
+    "dlOpName": "log1p",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Reciprocal",
+    "dlOpName": "reciprocal",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Reciprocal",
+    "dlOpName": "reciprocal",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Softplus",
+    "dlOpName": "softplus",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Asinh",
+    "dlOpName": "asinh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Acosh",
+    "dlOpName": "acosh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Atanh",
+    "dlOpName": "atanh",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Erf",
+    "dlOpName": "erf",
+    "category": "basic_math",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],26:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "LoopCond",
+    "dlOpName": "loopCond",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "pred",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Switch",
+    "dlOpName": "switch",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "data",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "pred",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Merge",
+    "dlOpName": "merge",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "tfInputParamLength": 0,
+        "dlParamName": "tensors",
+        "type": "tensors"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Enter",
+    "dlOpName": "enter",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "tensor",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "frame_name",
+        "dlParamName": "frameName",
+        "type": "string"
+      },
+      {
+        "tfParamName": "is_constant",
+        "dlParamName": "isConstant",
+        "type": "bool"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Exit",
+    "dlOpName": "exit",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "tensor",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "NextIteration",
+    "dlOpName": "nextIteration",
+    "category": "control",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "tensor",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],24:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "AvgPool",
+    "dlOpName": "avgPool",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "ksize",
+        "dlParamName": "kernelSize",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "MaxPool",
+    "dlOpName": "maxPool",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "ksize",
+        "dlParamName": "kernelSize",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Conv1D",
+    "dlOpName": "conv1d",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "filter",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "stride",
+        "dlParamName": "stride",
+        "type": "number"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "defaultValue": "NWC"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "dilation",
+        "dlParamName": "dilation",
+        "type": "number",
+        "defaultValue": 1
+      }
+    ]
+  },
+  {
+    "tfOpName": "Conv2D",
+    "dlOpName": "conv2d",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "filter",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "useCudnnOnGpu",
+        "dlParamName": "useCudnnOnGpu",
+        "type": "bool"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "defaultValue": "NHWC"
+      },
+      {
+        "tfParamName": "dilations",
+        "dlParamName": "dilations",
+        "type": "number[]"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Conv2DBackpropInput",
+    "dlOpName": "conv2dTranspose",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "filter",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "outputShape",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "DepthwiseConv2d",
+    "dlOpName": "depthwiseConv2d",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "input",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "filter",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "defaultValue": "NHWC"
+      },
+      {
+        "tfParamName": "dilations",
+        "dlParamName": "dilations",
+        "type": "number[]"
+      }
+    ]
+  },
+  {
+    "tfOpName": "DepthwiseConv2dNative",
+    "dlOpName": "depthwiseConv2d",
+    "category": "convolution",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "input",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "filter",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "strides",
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "padding",
+        "dlParamName": "pad",
+        "type": "string"
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "defaultValue": "NHWC"
+      },
+      {
+        "tfParamName": "dilations",
+        "dlParamName": "dilations",
+        "type": "number[]"
+      }
+    ]
+  }
+]
+;
+},{}],25:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Fill",
+    "dlOpName": "fill",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "shape",
+        "type": "number[]"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "value",
+        "type": "number"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LinSpace",
+    "dlOpName": "linspace",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "start",
+        "type": "number"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "stop",
+        "type": "number"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "num",
+        "type": "number"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "OneHot",
+    "dlOpName": "oneHot",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "indices",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "depth",
+        "type": "number"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "onValue",
+        "type": "number",
+        "defaultValue": 1
+      },
+      {
+        "tfInputIndex": 3,
+        "dlParamName": "offValue",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "axis",
+        "dlParamName": "axis",
+        "type": "number",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Ones",
+    "dlOpName": "ones",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "shape",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "OnesLike",
+    "dlOpName": "onesLike",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "dtype",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "RandomUniform",
+    "dlOpName": "randomUniform",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "shape",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "minval",
+        "dlParamName": "minval",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "maxval",
+        "dlParamName": "maxval",
+        "type": "number",
+        "defaultValue": 1
+      },
+      {
+        "tfParamName": "dtype",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      },
+      {
+        "tfParamName": "seed",
+        "dlParamName": "seed",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "seed2",
+        "dlParamName": "seed2",
+        "type": "number",
+        "defaultValue": 0,
+        "notSupported": true
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "T",
+        "type": "number",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Range",
+    "dlOpName": "range",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "start",
+        "type": "number"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "stop",
+        "type": "number"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "step",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "Tidx",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "truncatedNormal",
+    "dlOpName": "truncatedNormal",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "shape",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "means",
+        "dlParamName": "mean",
+        "type": "number",
+        "defaultValue": 0.0
+      },
+      {
+        "tfParamName": "stddev",
+        "dlParamName": "stdDev",
+        "type": "number",
+        "defaultValue": 1.0
+      },
+      {
+        "tfParamName": "seed",
+        "dlParamName": "seed",
+        "type": "number"
+      },
+      {
+        "tfParamName": "seed2",
+        "dlParamName": "seed2",
+        "type": "number",
+        "defaultValue": 0,
+        "notSupported": true
+      },
+      {
+        "tfParamName": "dtype",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "T",
+        "type": "number",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Zeros",
+    "dlOpName": "zeros",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "shape",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "ZerosLike",
+    "dlOpName": "zerosLike",
+    "category": "creation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  }
+]
+;
+},{}],27:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "PlaceholderWithDefault",
+    "dlOpName": "placeholder",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "default",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "shape",
+        "dlParamName": "shape",
+        "type": "shape"
+      },
+      {
+        "tfParamName": "dtype",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Placeholder",
+    "dlOpName": "placeholder",
+    "category": "graph",
+    "params": [
+      {
+        "tfParamName": "shape",
+        "dlParamName": "shape",
+        "type": "shape"
+      },
+      {
+        "tfParamName": "dtype",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Const",
+    "dlOpName": "const",
+    "category": "graph"
+  },
+  {
+    "tfOpName": "Identity",
+    "dlOpName": "identity",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Snapshot",
+    "dlOpName": "snapshot",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Rank",
+    "dlOpName": "rank",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Size",
+    "dlOpName": "size",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Shape",
+    "dlOpName": "shape",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Print",
+    "dlOpName": "print",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "tfInputParamLength": 1,
+        "dlParamName": "data",
+        "type": "tensors"
+      },
+      {
+        "tfParamName": "message",
+        "dlParamName": "message",
+        "type": "string"
+      },
+      {
+        "tfParamName": "first_n",
+        "dlParamName": "firstN",
+        "type": "number",
+        "notSupprted": true
+      },
+      {
+        "tfParamName": "summarize",
+        "dlParamName": "summarize",
+        "type": "number",
+        "defaultValue": 3
+      }
+    ]
+  },
+  {
+    "tfOpName": "NoOp",
+    "dlOpName": "noop",
+    "category": "graph",
+    "params": []
+  },
+  {
+    "tfOpName": "StopGradient",
+    "dlOpName": "stopGradient",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  },
+  {
+    "tfOpName": "FakeQuantWithMinMaxVars",
+    "dlOpName": "fakeQuantWithMinMaxVars",
+    "category": "graph",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "min",
+        "dlParamName": "min",
+        "type": "number"
+      },
+      {
+        "tfParamName": "max",
+        "dlParamName": "max",
+        "type": "number"
+      }
+    ]
+  }
+]
+;
+},{}],28:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "ResizeBilinear",
+    "dlOpName": "resizeBilinear",
+    "category": "image",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "images",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "size",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "align_corners",
+        "dlParamName": "alignCorners",
+        "type": "bool"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "ResizeNearestNeighbor",
+    "dlOpName": "resizeNearestNeighbor",
+    "category": "image",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "images",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "size",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "align_corners",
+        "dlParamName": "alignCorners",
+        "type": "bool"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],29:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Equal",
+    "dlOpName": "equal",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "NotEqual",
+    "dlOpName": "notEqual",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Greater",
+    "dlOpName": "greater",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "GreaterEqual",
+    "dlOpName": "greaterEqual",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Less",
+    "dlOpName": "less",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LessEqual",
+    "dlOpName": "lessEqual",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LogicalAnd",
+    "dlOpName": "logicalAnd",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LogicalNot",
+    "dlOpName": "logicalNot",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LogicalOr",
+    "dlOpName": "logicalOr",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Select",
+    "dlOpName": "where",
+    "category": "logical",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "condition",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],30:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "MatMul",
+    "dlOpName": "matMul",
+    "category": "matrices",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "a",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "b",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "transpose_a",
+        "dlParamName": "transposeA",
+        "type": "bool",
+        "defaultValue": false
+      },
+      {
+        "tfParamName": "transpose_b",
+        "dlParamName": "transposeB",
+        "type": "bool",
+        "defaultValue": false
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Transpose",
+    "dlOpName": "transpose",
+    "category": "matrices",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "perm",
+        "dlParamName": "perm",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "T",
+        "dlParamName": "dtype",
+        "type": "dtype",
+        "notSupported": true
+      }
+    ]
+  }
+]
+;
+},{}],31:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "FusedBatchNorm",
+    "dlOpName": "batchNormalization",
+    "category": "normalization",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "scale",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "offset",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 3,
+        "dlParamName": "mean",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 4,
+        "dlParamName": "variance",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "epsilon",
+        "dlParamName": "epsilon",
+        "type": "number",
+        "defaultValue": 0.001
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "FusedBatchNormV2",
+    "dlOpName": "batchNormalization",
+    "category": "normalization",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "scale",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "offset",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 3,
+        "dlParamName": "mean",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 4,
+        "dlParamName": "variance",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "epsilon",
+        "dlParamName": "epsilon",
+        "type": "number",
+        "defaultValue": 0.001
+      },
+      {
+        "tfParamName": "data_format",
+        "dlParamName": "dataFormat",
+        "type": "string",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "LRN",
+    "dlOpName": "localResponseNormalization",
+    "category": "normalization",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "depth_radius",
+        "dlParamName": "radius",
+        "type": "number",
+        "defaultValue": 5
+      },
+      {
+        "tfParamName": "bias",
+        "dlParamName": "bias",
+        "type": "number",
+        "defaultValue": 1.0
+      },
+      {
+        "tfParamName": "alpha",
+        "dlParamName": "alpha",
+        "type": "number",
+        "defaultValue": 1.0
+      },
+      {
+        "tfParamName": "beta",
+        "dlParamName": "beta",
+        "type": "number",
+        "defaultValue": 0.5
+      }
+    ]
+  },  {
+    "tfOpName": "Softmax",
+    "dlOpName": "softmax",
+    "category": "normalization",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      }
+    ]
+  }
+]
+;
+},{}],32:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Max",
+    "dlOpName": "max",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "keep_dims",
+        "dlParamName": "keepDims",
+        "type": "bool"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Mean",
+    "dlOpName": "mean",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "keep_dims",
+        "dlParamName": "keepDims",
+        "type": "bool"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Min",
+    "dlOpName": "min",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "keep_dims",
+        "dlParamName": "keepDims",
+        "type": "bool"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Sum",
+    "dlOpName": "sum",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "keep_dims",
+        "dlParamName": "keepDims",
+        "type": "bool"
+      }
+    ]
+  },
+  {
+    "tfOpName": "ArgMax",
+    "dlOpName": "argMax",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "ArgMin",
+    "dlOpName": "argMin",
+    "category": "reduction",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  }
+]
+;
+},{}],33:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "ConcatV2",
+    "dlOpName": "concat",
+    "category": "slice_join",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "tfInputParamLength": 1,
+        "dlParamName": "tensors",
+        "type": "tensors"
+      },
+      {
+        "tfInputIndex": -1,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Concat",
+    "dlOpName": "concat",
+    "category": "slice_join",
+    "params": [
+      {
+        "tfInputIndex": 1,
+        "tfInputParamLength": 1,
+        "dlParamName": "tensors",
+        "type": "tensors"
+      },
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "GatherV2",
+    "dlOpName": "gather",
+    "category": "slice_join",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "indices",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "axis",
+        "dlParamName": "axis",
+        "type": "number",
+        "defaultValue": 0
+      }
+    ]
+  },
+  {
+    "tfOpName": "Gather",
+    "dlOpName": "gather",
+    "category": "slice_join",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "indices",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "axis",
+        "dlParamName": "axis",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "validate_indices",
+        "dlParamName": "validateIndices",
+        "type": "bool",
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Reverse",
+    "dlOpName": "reverse",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "ReverseV2",
+    "dlOpName": "reverse",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Slice",
+    "dlOpName": "slice",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "begin",
+        "type": "number[]"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "size",
+        "type": "number[]"
+      }
+    ]
+  },
+  {
+    "tfOpName": "StridedSlice",
+    "dlOpName": "stridedSlice",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "begin",
+        "type": "number[]"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "end",
+        "type": "number[]"
+      },
+      {
+        "tfInputIndex": 3,
+        "dlParamName": "strides",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "begin_mask",
+        "dlParamName": "beginMask",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "end_mask",
+        "dlParamName": "endMask",
+        "type": "number",
+        "defaultValue": 0
+      }
+    ]
+  },
+  {
+    "tfOpName": "Pack",
+    "dlOpName": "stack",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "tfInputParamLength": 0,
+        "dlParamName": "tensors",
+        "type": "tensors"
+      },
+      {
+        "tfParamName": "axis",
+        "dlParamName": "axis",
+        "type": "number",
+        "defaultValue": 0
+      }
+    ]
+  },
+  {
+    "tfOpName": "Unpack",
+    "dlOpName": "unstack",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "tfInputParamLength": 0,
+        "dlParamName": "tensor",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "axis",
+        "dlParamName": "axis",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfParamName": "num",
+        "dlParamName": "num",
+        "type": "number",
+        "defaultValue": 0,
+        "notSupported": true
+      }
+    ]
+  },
+  {
+    "tfOpName": "Tile",
+    "dlOpName": "tile",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "reps",
+        "type": "number[]"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Split",
+    "dlOpName": "split",
+    "category": "slice_join",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "axis",
+        "type": "number",
+        "defaultValue": 0
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "num_split",
+        "dlParamName": "numOrSizeSplits",
+        "type": "number",
+        "defaultValue": 1
+      }
+    ]
+  }
+]
+;
+},{}],34:[function(require,module,exports) {
+module.exports = [
+  {
+    "tfOpName": "Cast",
+    "dlOpName": "cast",
+    "category": "transformation",
+    "params": [
+      {
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "SrcT",
+        "dlParamName": "sdtype",
+        "type": "dtype",
+        "notSupported": true
+      },
+      {
+        "tfParamName": "DstT",
+        "dlParamName": "dtype",
+        "type": "dtype"
+      }
+    ]
+  },
+  {
+    "tfOpName": "ExpandDims",
+    "dlOpName": "expandDims",
+    "category": "transformation",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "tfParamNameDeprecated": "dim",
+        "dlParamName": "axis",
+        "type": "number"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Pad",
+    "dlOpName": "pad",
+    "category": "transformation",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "padding",
+        "type": "number[]"
+      },
+      {
+        "tfParamName": "constant_value",
+        "dlParamName": "constantValue",
+        "type": "number",
+        "defaultValue": 0
+      }
+    ]
+  },
+  {
+    "tfOpName": "PadV2",
+    "dlOpName": "pad",
+    "category": "transformation",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "padding",
+        "type": "number[]"
+      },
+      {
+        "tfInputIndex": 2,
+        "dlParamName": "constantValue",
+        "type": "number",
+        "defaultValue": 0
+      }
+    ]
+  },
+  {
+    "tfOpName": "Reshape",
+    "dlOpName": "reshape",
+    "category": "transformation",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfInputIndex": 1,
+        "dlParamName": "shape",
+        "type": "number[]"
+      }
+    ]
+  },
+  {
+    "tfOpName": "Squeeze",
+    "dlOpName": "squeeze",
+    "category": "transformation",
+    "params": [{
+        "tfInputIndex": 0,
+        "dlParamName": "x",
+        "type": "tensor"
+      },
+      {
+        "tfParamName": "axis",
+        "tfParamNameDeprecated": "squeeze_dims",
+        "dlParamName": "axis",
+        "type": "number[]"
+      }
+    ]
+  }
+]
+;
+},{}],14:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.OperationMapper = undefined;
+
+var _compiled_api = require('../data/compiled_api');
+
+var _utils = require('./executors/utils');
+
+var _arithmetic = require('./op_list/arithmetic.json');
+
+var arithmetic = _interopRequireWildcard(_arithmetic);
+
+var _basic_math = require('./op_list/basic_math.json');
+
+var basicMath = _interopRequireWildcard(_basic_math);
+
+var _control = require('./op_list/control.json');
+
+var control = _interopRequireWildcard(_control);
+
+var _convolution = require('./op_list/convolution.json');
+
+var convolution = _interopRequireWildcard(_convolution);
+
+var _creation = require('./op_list/creation.json');
+
+var creation = _interopRequireWildcard(_creation);
+
+var _graph = require('./op_list/graph.json');
+
+var graph = _interopRequireWildcard(_graph);
+
+var _image = require('./op_list/image.json');
+
+var image = _interopRequireWildcard(_image);
+
+var _logical = require('./op_list/logical.json');
+
+var logical = _interopRequireWildcard(_logical);
+
+var _matrices = require('./op_list/matrices.json');
+
+var matrices = _interopRequireWildcard(_matrices);
+
+var _normalization = require('./op_list/normalization.json');
+
+var normalization = _interopRequireWildcard(_normalization);
+
+var _reduction = require('./op_list/reduction.json');
+
+var reduction = _interopRequireWildcard(_reduction);
+
+var _slice_join = require('./op_list/slice_join.json');
+
+var sliceJoin = _interopRequireWildcard(_slice_join);
+
+var _transformation = require('./op_list/transformation.json');
+
+var transformation = _interopRequireWildcard(_transformation);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];
+var OperationMapper = function () {
+    function OperationMapper() {
+        var ops = [arithmetic, basicMath, control, convolution, creation, logical, image, graph, matrices, normalization, reduction, sliceJoin, transformation];
+        var mappersJson = [].concat.apply([], ops.map(function (op) {
+            return op.default ? op.default : op;
+        }));
+        this.opMappers = mappersJson.reduce(function (map, mapper) {
+            map[mapper.tfOpName] = mapper;
+            return map;
+        }, {});
+    }
+    Object.defineProperty(OperationMapper, "Instance", {
+        get: function () {
+            return this._instance || (this._instance = new this());
+        },
+        enumerable: true,
+        configurable: true
+    });
+    OperationMapper.prototype.isControlFlow = function (node) {
+        return CONTROL_FLOW_OPS.some(function (op) {
+            return op === node.op;
+        });
+    };
+    OperationMapper.prototype.transformGraph = function (graph) {
+        var _this = this;
+        var tfNodes = graph.node;
+        var withControlFlow = false;
+        var placeholders = [];
+        var nodes = tfNodes.reduce(function (map, node) {
+            map[node.name] = _this.mapNode(node);
+            if (_this.isControlFlow(node)) withControlFlow = true;
+            if (node.op === 'Placeholder') placeholders.push(map[node.name]);
+            return map;
+        }, {});
+        var inputs = [];
+        var outputs = [];
+        Object.keys(nodes).forEach(function (key) {
+            var node = nodes[key];
+            node.inputNames.forEach(function (name) {
+                var nodeName = (0, _utils.getNodeNameAndIndex)(name)[0];
+                node.inputs.push(nodes[nodeName]);
+                nodes[nodeName].children.push(node);
+            });
+            if (node.inputs.length === 0) inputs.push(node);
+        });
+        Object.keys(nodes).forEach(function (key) {
+            var node = nodes[key];
+            if (node.children.length === 0) outputs.push(node);
+        });
+        return { nodes: nodes, inputs: inputs, outputs: outputs, placeholders: placeholders, withControlFlow: withControlFlow };
+    };
+    OperationMapper.prototype.mapNode = function (node) {
+        var _this = this;
+        var mapper = this.opMappers[node.op];
+        if (mapper === undefined) {
+            throw new Error('Tensorflow Op is not supported: ' + node.op);
+        }
+        var newNode = {
+            name: node.name,
+            op: mapper.dlOpName,
+            category: mapper.category,
+            inputNames: (node.input || []).map(function (input) {
+                return input.startsWith('^') ? input.substr(1) : input;
+            }),
+            inputs: [],
+            children: [],
+            params: {}
+        };
+        if (!!mapper.params) {
+            newNode.params = mapper.params.reduce(function (map, param) {
+                var inputIndex = param.tfInputIndex;
+                var inputParamLength = param.tfInputParamLength;
+                var type = param.type;
+                var value = undefined;
+                if (inputIndex === undefined) {
+                    switch (param.type) {
+                        case 'string':
+                            value = _this.getStringParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getStringParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'number':
+                            value = _this.getNumberParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getNumberParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'number[]':
+                            value = _this.getNumericArrayParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getNumericArrayParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'bool':
+                            value = _this.getBoolParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getBoolParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'shape':
+                            value = _this.getTensorShapeParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getTensorShapeParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'dtype':
+                            value = _this.getDtypeParam(node.attr, param.tfParamName, param.defaultValue);
+                            if (value === undefined && !!param.tfParamNameDeprecated) {
+                                value = _this.getDtypeParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);
+                            }
+                            break;
+                        case 'tensor':
+                        case 'tensors':
+                            break;
+                        default:
+                            throw new Error("Unsupported param type: " + param.type + " for op: " + node.op);
+                    }
+                }
+                map[param.dlParamName] = { value: value, inputIndex: inputIndex, type: type, inputParamLength: inputParamLength };
+                return map;
+            }, {});
+        }
+        return newNode;
+    };
+    OperationMapper.prototype.getStringParam = function (attrs, name, def, keepCase) {
+        if (keepCase === void 0) {
+            keepCase = false;
+        }
+        var param = attrs[name];
+        if (param !== undefined) {
+            var value = String.fromCharCode.apply(null, param.s);
+            return keepCase ? value : value.toLowerCase();
+        }
+        return def;
+    };
+    OperationMapper.prototype.getBoolParam = function (attrs, name, def) {
+        var param = attrs[name];
+        return param ? param.b : def;
+    };
+    OperationMapper.prototype.getNumberParam = function (attrs, name, def) {
+        var param = attrs[name];
+        var value = param ? param.f !== undefined ? param.f : param.i : def;
+        return typeof value === 'number' ? value : value['toInt']();
+    };
+    OperationMapper.prototype.getDtypeParam = function (attrs, name, def) {
+        var param = attrs[name];
+        if (param && param.type) {
+            switch (param.type) {
+                case _compiled_api.tensorflow.DataType.DT_FLOAT:
+                    return 'float32';
+                case _compiled_api.tensorflow.DataType.DT_INT32:
+                    return 'int32';
+                case _compiled_api.tensorflow.DataType.DT_BOOL:
+                    return 'bool';
+                default:
+                    return def;
+            }
+        }
+        return def;
+    };
+    OperationMapper.prototype.getTensorShapeParam = function (attrs, name, def) {
+        var param = attrs[name];
+        if (param && param.shape) {
+            return param.shape.dim.map(function (dim) {
+                return dim.size;
+            });
+        }
+        return def;
+    };
+    OperationMapper.prototype.getNumericArrayParam = function (attrs, name, def) {
+        var param = attrs[name];
+        if (param) {
+            return (param.list.f && param.list.f.length ? param.list.f : param.list.i).map(function (v) {
+                return typeof v === 'number' ? v : v['toInt']();
+            });
+        }
+        return def;
+    };
+    return OperationMapper;
+}();
+exports.OperationMapper = OperationMapper;
+//# sourceMappingURL=operation_mapper.js.map
+},{"../data/compiled_api":13,"./executors/utils":35,"./op_list/arithmetic.json":22,"./op_list/basic_math.json":23,"./op_list/control.json":26,"./op_list/convolution.json":24,"./op_list/creation.json":25,"./op_list/graph.json":27,"./op_list/image.json":28,"./op_list/logical.json":29,"./op_list/matrices.json":30,"./op_list/normalization.json":31,"./op_list/reduction.json":32,"./op_list/slice_join.json":33,"./op_list/transformation.json":34}],38:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'add':
+            {
+                return [tfc.add((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'mod':
+            return [tfc.mod((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+        case 'mul':
+            return [tfc.mul((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+        case 'div':
+            {
+                return [tfc.div((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'floorDiv':
+            {
+                return [tfc.floorDiv((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'sub':
+            {
+                return [tfc.sub((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'minimum':
+            {
+                return [tfc.minimum((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'maximum':
+            {
+                return [tfc.maximum((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'pow':
+            {
+                return [tfc.pow((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'squaredDifference':
+            {
+                return [tfc.squaredDifference((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'arithmetic';
+//# sourceMappingURL=arithmetic_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],39:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'abs':
+            return [tfc.abs((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'acos':
+            return [tfc.acos((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'acosh':
+            return [tfc.acosh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'asin':
+            return [tfc.asin((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'asinh':
+            return [tfc.asinh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'atan':
+            return [tfc.atan((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'atanh':
+            return [tfc.atanh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'ceil':
+            return [tfc.ceil((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'cos':
+            return [tfc.cos((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'cosh':
+            return [tfc.cosh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'elu':
+            return [tfc.elu((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'erf':
+            return [tfc.erf((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'exp':
+            return [tfc.exp((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'expm1':
+            {
+                return [tfc.expm1((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'floor':
+            return [tfc.floor((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'log':
+            return [tfc.log((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'log1p':
+            {
+                return [tfc.log1p((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'neg':
+            return [tfc.neg((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'reciprocal':
+            {
+                return [tfc.reciprocal((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'relu':
+            return [tfc.relu((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'round':
+            {
+                return [tfc.round((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'selu':
+            return [tfc.selu((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'sigmoid':
+            return [tfc.sigmoid((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'sin':
+            return [tfc.sin((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'sign':
+            {
+                return [tfc.sign((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'sinh':
+            {
+                return [tfc.sinh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'softplus':
+            {
+                return [tfc.softplus((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'sqrt':
+            {
+                return [tfc.sqrt((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'square':
+            {
+                return [tfc.square((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'tanh':
+            {
+                return [tfc.tanh((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'tan':
+            return [tfc.tan((0, _utils.getParamValue)('x', node, tensorMap, context))];
+        case 'clipByValue':
+            return [tfc.clipByValue((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('clipValueMin', node, tensorMap, context), (0, _utils.getParamValue)('clipValueMax', node, tensorMap, context))];
+        case 'rsqrt':
+            return [tfc.div(tfc.scalar(1.0, 'float32'), tfc.sqrt((0, _utils.getTensor)(node.inputNames[0], tensorMap, context)))];
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'basic_math';
+//# sourceMappingURL=basic_math_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],40:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = undefined;
+exports.executeOp = executeOp;
+
+var _utils = require("./utils");
+
+var __awaiter = undefined && undefined.__awaiter || function (thisArg, _arguments, P, generator) {
+    return new (P || (P = Promise))(function (resolve, reject) {
+        function fulfilled(value) {
+            try {
+                step(generator.next(value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function rejected(value) {
+            try {
+                step(generator["throw"](value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function step(result) {
+            result.done ? resolve(result.value) : new P(function (resolve) {
+                resolve(result.value);
+            }).then(fulfilled, rejected);
+        }
+        step((generator = generator.apply(thisArg, _arguments || [])).next());
+    });
+};
+var __generator = undefined && undefined.__generator || function (thisArg, body) {
+    var _ = { label: 0, sent: function () {
+            if (t[0] & 1) throw t[1];return t[1];
+        }, trys: [], ops: [] },
+        f,
+        y,
+        t,
+        g;
+    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function () {
+        return this;
+    }), g;
+    function verb(n) {
+        return function (v) {
+            return step([n, v]);
+        };
+    }
+    function step(op) {
+        if (f) throw new TypeError("Generator is already executing.");
+        while (_) try {
+            if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
+            if (y = 0, t) op = [0, t.value];
+            switch (op[0]) {
+                case 0:case 1:
+                    t = op;break;
+                case 4:
+                    _.label++;return { value: op[1], done: false };
+                case 5:
+                    _.label++;y = op[1];op = [0];continue;
+                case 7:
+                    op = _.ops.pop();_.trys.pop();continue;
+                default:
+                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) {
+                        _ = 0;continue;
+                    }
+                    if (op[0] === 3 && (!t || op[1] > t[0] && op[1] < t[3])) {
+                        _.label = op[1];break;
+                    }
+                    if (op[0] === 6 && _.label < t[1]) {
+                        _.label = t[1];t = op;break;
+                    }
+                    if (t && _.label < t[2]) {
+                        _.label = t[2];_.ops.push(op);break;
+                    }
+                    if (t[2]) _.ops.pop();
+                    _.trys.pop();continue;
+            }
+            op = body.call(thisArg, _);
+        } catch (e) {
+            op = [6, e];y = 0;
+        } finally {
+            f = t = 0;
+        }
+        if (op[0] & 5) throw op[1];return { value: op[0] ? op[1] : void 0, done: true };
+    }
+};
+function executeOp(node, tensorMap, context) {
+    return __awaiter(this, void 0, void 0, function () {
+        var _a, pred, data_1, inputName, frameId, data, tensor, input;
+        return __generator(this, function (_b) {
+            switch (_b.label) {
+                case 0:
+                    _a = node.op;
+                    switch (_a) {
+                        case 'loopCond':
+                            return [3, 1];
+                        case 'switch':
+                            return [3, 2];
+                        case 'merge':
+                            return [3, 4];
+                        case 'enter':
+                            return [3, 5];
+                        case 'exit':
+                            return [3, 6];
+                        case 'nextIteration':
+                            return [3, 7];
+                    }
+                    return [3, 8];
+                case 1:
+                    return [2, [(0, _utils.getParamValue)('pred', node, tensorMap, context)]];
+                case 2:
+                    pred = (0, _utils.getParamValue)('pred', node, tensorMap, context);
+                    data_1 = (0, _utils.getParamValue)('data', node, tensorMap, context);
+                    return [4, pred.data()];
+                case 3:
+                    return [2, _b.sent()[0] ? [undefined, data_1] : [data_1, undefined]];
+                case 4:
+                    inputName = node.inputNames.find(function (name) {
+                        return (0, _utils.getTensor)(name, tensorMap, context) !== undefined;
+                    });
+                    return [2, inputName ? [(0, _utils.getTensor)(inputName, tensorMap, context)] : undefined];
+                case 5:
+                    frameId = (0, _utils.getParamValue)('frameName', node, tensorMap, context);
+                    data = (0, _utils.getParamValue)('tensor', node, tensorMap, context);
+                    context.enterFrame(frameId);
+                    return [2, [data]];
+                case 6:
+                    tensor = (0, _utils.getParamValue)('tensor', node, tensorMap, context);
+                    context.exitFrame();
+                    return [2, [tensor]];
+                case 7:
+                    input = (0, _utils.getParamValue)('tensor', node, tensorMap, context);
+                    context.nextIteration();
+                    return [2, [input]];
+                case 8:
+                    throw TypeError("Node type " + node.op + " is not implemented");
+            }
+        });
+    });
+}
+var CATEGORY = exports.CATEGORY = 'control';
+//# sourceMappingURL=control_executor.js.map
+},{"./utils":35}],41:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'conv1d':
+            {
+                var stride = (0, _utils.getParamValue)('stride', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                var dataFormat = (0, _utils.getParamValue)('dataFormat', node, tensorMap, context).toUpperCase();
+                var dilation = (0, _utils.getParamValue)('dilation', node, tensorMap, context);
+                return [tfc.conv1d((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('filter', node, tensorMap, context), stride, pad, dataFormat, dilation)];
+            }
+        case 'conv2d':
+            {
+                var stride = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                var dataFormat = (0, _utils.getParamValue)('dataFormat', node, tensorMap, context).toUpperCase();
+                var dilations = (0, _utils.getParamValue)('dilations', node, tensorMap, context);
+                return [tfc.conv2d((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('filter', node, tensorMap, context), [stride[1], stride[2]], pad, dataFormat, [dilations[0], dilations[1]])];
+            }
+        case 'conv2dTranspose':
+            {
+                var shape = (0, _utils.getParamValue)('outputShape', node, tensorMap, context);
+                var stride = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                return [tfc.conv2dTranspose((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('filter', node, tensorMap, context), shape, [stride[1], stride[2]], pad)];
+            }
+        case 'depthwiseConv2d':
+            {
+                var stride = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                var dilations = (0, _utils.getParamValue)('dilations', node, tensorMap, context);
+                var dataFormat = (0, _utils.getParamValue)('dataFormat', node, tensorMap, context).toUpperCase();
+                return [tfc.depthwiseConv2d((0, _utils.getParamValue)('input', node, tensorMap, context), (0, _utils.getParamValue)('filter', node, tensorMap, context), [stride[1], stride[2]], pad, dataFormat, [dilations[0], dilations[1]])];
+            }
+        case 'avgPool':
+            {
+                var stride = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                var kernelSize = (0, _utils.getParamValue)('kernelSize', node, tensorMap, context);
+                return [tfc.avgPool((0, _utils.getParamValue)('x', node, tensorMap, context), [kernelSize[1], kernelSize[2]], [stride[1], stride[2]], pad)];
+            }
+        case 'maxPool':
+            {
+                var stride = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var pad = (0, _utils.getParamValue)('pad', node, tensorMap, context);
+                var kernelSize = (0, _utils.getParamValue)('kernelSize', node, tensorMap, context);
+                return [tfc.maxPool((0, _utils.getParamValue)('x', node, tensorMap, context), [kernelSize[1], kernelSize[2]], [stride[1], stride[2]], pad)];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'convolution';
+//# sourceMappingURL=convolution_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],42:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'fill':
+            {
+                var shape = (0, _utils.getParamValue)('shape', node, tensorMap, context);
+                var value = (0, _utils.getParamValue)('value', node, tensorMap, context);
+                return [tfc.fill(shape, value)];
+            }
+        case 'linspace':
+            {
+                var start = (0, _utils.getParamValue)('start', node, tensorMap, context);
+                var stop_1 = (0, _utils.getParamValue)('stop', node, tensorMap, context);
+                var num = (0, _utils.getParamValue)('num', node, tensorMap, context);
+                return [tfc.linspace(start, stop_1, num)];
+            }
+        case 'oneHot':
+            {
+                var indices = (0, _utils.getParamValue)('indices', node, tensorMap, context);
+                var depth = (0, _utils.getParamValue)('depth', node, tensorMap, context);
+                var onValue = (0, _utils.getParamValue)('onValue', node, tensorMap, context);
+                var offValue = (0, _utils.getParamValue)('offValue', node, tensorMap, context);
+                return [tfc.oneHot(indices, depth, onValue, offValue)];
+            }
+        case 'ones':
+            {
+                return [tfc.ones((0, _utils.getParamValue)('shape', node, tensorMap, context), (0, _utils.getParamValue)('dtype', node, tensorMap, context))];
+            }
+        case 'onesLike':
+            {
+                return [tfc.onesLike((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        case 'randomUniform':
+            {
+                return [tfc.randomUniform((0, _utils.getParamValue)('shape', node, tensorMap, context), (0, _utils.getParamValue)('minval', node, tensorMap, context), (0, _utils.getParamValue)('maxval', node, tensorMap, context), (0, _utils.getParamValue)('dtype', node, tensorMap, context))];
+            }
+        case 'range':
+            {
+                var start = (0, _utils.getParamValue)('start', node, tensorMap, context);
+                var stop_2 = (0, _utils.getParamValue)('stop', node, tensorMap, context);
+                var step = (0, _utils.getParamValue)('step', node, tensorMap, context);
+                return [tfc.range(start, stop_2, step, (0, _utils.getParamValue)('dtype', node, tensorMap, context))];
+            }
+        case 'truncatedNormal':
+            {
+                var shape = (0, _utils.getParamValue)('shape', node, tensorMap, context);
+                var mean = (0, _utils.getParamValue)('mean', node, tensorMap, context);
+                var stdDev = (0, _utils.getParamValue)('stdDev', node, tensorMap, context);
+                var seed = (0, _utils.getParamValue)('seed', node, tensorMap, context);
+                return [tfc.truncatedNormal(shape, mean, stdDev, (0, _utils.getParamValue)('dtype', node, tensorMap, context), seed)];
+            }
+        case 'zeros':
+            {
+                return [tfc.zeros((0, _utils.getParamValue)('shape', node, tensorMap, context), (0, _utils.getParamValue)('dtype', node, tensorMap, context))];
+            }
+        case 'zerosLike':
+            {
+                return [tfc.zerosLike((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'creation';
+//# sourceMappingURL=creation_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],43:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'const':
+            {
+                return tensorMap[node.name];
+            }
+        case 'placeholder':
+            var def = (0, _utils.getParamValue)('default', node, tensorMap, context);
+            return [(0, _utils.getTensor)(node.name, tensorMap, context) || def];
+        case 'identity':
+        case 'stopGradient':
+        case 'fakeQuantWithMinMaxVars':
+            return [(0, _utils.getParamValue)('x', node, tensorMap, context)];
+        case 'snapshot':
+            var snapshot = (0, _utils.getParamValue)('x', node, tensorMap, context);
+            return [snapshot.clone()];
+        case 'shape':
+            return [tfc.tensor1d((0, _utils.getParamValue)('x', node, tensorMap, context).shape, 'int32')];
+        case 'size':
+            return [tfc.scalar((0, _utils.getParamValue)('x', node, tensorMap, context).size, 'int32')];
+        case 'rank':
+            return [tfc.scalar((0, _utils.getParamValue)('x', node, tensorMap, context).rank, 'int32')];
+        case 'noop':
+            return [];
+        case 'print':
+            var input = (0, _utils.getParamValue)('x', node, tensorMap, context);
+            var data = (0, _utils.getParamValue)('data', node, tensorMap, context);
+            var message = (0, _utils.getParamValue)('message', node, tensorMap, context);
+            var summarize = (0, _utils.getParamValue)('summarize', node, tensorMap, context);
+            console.warn('The graph has a tf.print() operation,' + 'usually used for debugging, which slows down performance.');
+            console.log(message);
+            for (var i = 0; i < data.length; i++) {
+                console.log(Array.prototype.slice.call(data[0].dataSync()).slice(0, summarize));
+            }
+            return [input];
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'graph';
+//# sourceMappingURL=graph_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],44:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'resizeBilinear':
+            {
+                var images = (0, _utils.getParamValue)('images', node, tensorMap, context);
+                var size = (0, _utils.getParamValue)('size', node, tensorMap, context);
+                var alignCorners = (0, _utils.getParamValue)('alignCorners', node, tensorMap, context);
+                return [tfc.image.resizeBilinear(images, [size[0], size[1]], alignCorners)];
+            }
+        case 'resizeNearestNeighbor':
+            {
+                var images = (0, _utils.getParamValue)('images', node, tensorMap, context);
+                var size = (0, _utils.getParamValue)('size', node, tensorMap, context);
+                var alignCorners = (0, _utils.getParamValue)('alignCorners', node, tensorMap, context);
+                return [tfc.image.resizeNearestNeighbor(images, [size[0], size[1]], alignCorners)];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'image';
+//# sourceMappingURL=image_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],45:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'equal':
+            {
+                return [tfc.equal((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'notEqual':
+            {
+                return [tfc.notEqual((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'greater':
+            {
+                return [tfc.greater((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'greaterEqual':
+            {
+                return [tfc.greaterEqual((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'less':
+            {
+                return [tfc.less((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'lessEqual':
+            {
+                return [tfc.lessEqual((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'logicalAnd':
+            {
+                return [tfc.logicalAnd((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'logicalNot':
+            {
+                return [tfc.logicalNot((0, _utils.getParamValue)('a', node, tensorMap, context))];
+            }
+        case 'logicalOr':
+            {
+                return [tfc.logicalOr((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        case 'where':
+            {
+                return [tfc.where((0, _utils.getParamValue)('condition', node, tensorMap, context), (0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context))];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'logical';
+//# sourceMappingURL=logical_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],46:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'matMul':
+            return [tfc.matMul((0, _utils.getParamValue)('a', node, tensorMap, context), (0, _utils.getParamValue)('b', node, tensorMap, context), (0, _utils.getParamValue)('transposeA', node, tensorMap, context), (0, _utils.getParamValue)('transposeB', node, tensorMap, context))];
+        case 'transpose':
+            return [tfc.transpose((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('perm', node, tensorMap, context))];
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'matrices';
+//# sourceMappingURL=matrices_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],47:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'batchNormalization':
+            {
+                return [tfc.batchNormalization((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('mean', node, tensorMap, context), (0, _utils.getParamValue)('variance', node, tensorMap, context), (0, _utils.getParamValue)('epsilon', node, tensorMap, context), (0, _utils.getParamValue)('scale', node, tensorMap, context), (0, _utils.getParamValue)('offset', node, tensorMap, context))];
+            }
+        case 'localResponseNormalization':
+            {
+                return [tfc.localResponseNormalization((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('radius', node, tensorMap, context), (0, _utils.getParamValue)('bias', node, tensorMap, context), (0, _utils.getParamValue)('alpha', node, tensorMap, context), (0, _utils.getParamValue)('beta', node, tensorMap, context))];
+            }
+        case 'softmax':
+            {
+                return [tfc.softmax((0, _utils.getParamValue)('x', node, tensorMap, context))];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'normalization';
+//# sourceMappingURL=normalization_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],48:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'max':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);
+                return [tfc.max((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];
+            }
+        case 'mean':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);
+                return [tfc.mean((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];
+            }
+        case 'min':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);
+                return [tfc.min((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];
+            }
+        case 'sum':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var keepDims = (0, _utils.getParamValue)('keepDims', node, tensorMap, context);
+                return [tfc.sum((0, _utils.getParamValue)('x', node, tensorMap, context), axis, keepDims)];
+            }
+        case 'argMax':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                return [tfc.argMax((0, _utils.getParamValue)('x', node, tensorMap, context), axis)];
+            }
+        case 'argMin':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                return [tfc.argMin((0, _utils.getParamValue)('x', node, tensorMap, context), axis)];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'reduction';
+//# sourceMappingURL=reduction_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],49:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'concat':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var inputs = (0, _utils.getParamValue)('tensors', node, tensorMap, context);
+                return [tfc.concat(inputs, axis)];
+            }
+        case 'gather':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var input = (0, _utils.getParamValue)('x', node, tensorMap, context);
+                var indices = (0, _utils.getParamValue)('indices', node, tensorMap, context);
+                return [tfc.gather(input, indices, axis)];
+            }
+        case 'reverse':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var input = (0, _utils.getParamValue)('x', node, tensorMap, context);
+                return [tfc.reverse(input, axis)];
+            }
+        case 'slice':
+            {
+                var begin = (0, _utils.getParamValue)('begin', node, tensorMap, context);
+                var size = (0, _utils.getParamValue)('size', node, tensorMap, context);
+                return [tfc.slice((0, _utils.getParamValue)('x', node, tensorMap, context), begin, size)];
+            }
+        case 'stridedSlice':
+            {
+                var begin = (0, _utils.getParamValue)('begin', node, tensorMap, context);
+                var end = (0, _utils.getParamValue)('end', node, tensorMap, context);
+                var strides = (0, _utils.getParamValue)('strides', node, tensorMap, context);
+                var beginMask = (0, _utils.getParamValue)('beginMask', node, tensorMap, context);
+                var endMask = (0, _utils.getParamValue)('endMask', node, tensorMap, context);
+                return [tfc.stridedSlice((0, _utils.getParamValue)('x', node, tensorMap, context), begin, end, strides, beginMask, endMask)];
+            }
+        case 'stack':
+            {
+                return tfc.tidy(function () {
+                    var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                    var tensors = (0, _utils.getParamValue)('tensors', node, tensorMap, context);
+                    var shape = tensors[0].shape;
+                    var squeezedShape = tensors[0].squeeze().shape;
+                    var mapped = tensors.map(function (tensor) {
+                        var sameShape = tfc.util.arraysEqual(tensor.shape, shape);
+                        if (!sameShape && !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {
+                            throw new Error('the input tensors shape does not match');
+                        }
+                        return sameShape ? tensor : tensor.reshape(shape);
+                    });
+                    return [tfc.stack(mapped, axis)];
+                });
+            }
+        case 'unstack':
+            {
+                return tfc.tidy(function () {
+                    var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                    var tensor = (0, _utils.getParamValue)('tensor', node, tensorMap, context);
+                    return tfc.unstack(tensor, axis);
+                });
+            }
+        case 'tile':
+            {
+                var reps = (0, _utils.getParamValue)('reps', node, tensorMap, context);
+                return [tfc.tile((0, _utils.getParamValue)('x', node, tensorMap, context), reps)];
+            }
+        case 'split':
+            {
+                var axis = (0, _utils.getParamValue)('axis', node, tensorMap, context);
+                var numOrSizeSplits = (0, _utils.getParamValue)('numOrSizeSplits', node, tensorMap, context);
+                return tfc.split((0, _utils.getParamValue)('x', node, tensorMap, context), numOrSizeSplits, axis);
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'slice_join';
+//# sourceMappingURL=slice_join_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],50:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.CATEGORY = exports.executeOp = undefined;
+
+var _tfjsCore = require('@tensorflow/tfjs-core');
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _utils = require('./utils');
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var executeOp = exports.executeOp = function (node, tensorMap, context) {
+    switch (node.op) {
+        case 'cast':
+            {
+                return [tfc.cast((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('dtype', node, tensorMap, context))];
+            }
+        case 'expandDims':
+            {
+                var axis = node.params['axis'].value;
+                return [tfc.expandDims((0, _utils.getParamValue)('x', node, tensorMap, context), axis)];
+            }
+        case 'squeeze':
+            {
+                var axis = node.params['axis'].value;
+                return [tfc.squeeze((0, _utils.getParamValue)('x', node, tensorMap, context), axis)];
+            }
+        case 'reshape':
+            {
+                return [tfc.reshape((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.getParamValue)('shape', node, tensorMap, context))];
+            }
+        case 'pad':
+            {
+                return [tfc.pad((0, _utils.getParamValue)('x', node, tensorMap, context), (0, _utils.split)((0, _utils.getParamValue)('padding', node, tensorMap, context), 2), (0, _utils.getParamValue)('constantValue', node, tensorMap, context))];
+            }
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+};
+var CATEGORY = exports.CATEGORY = 'transformation';
+//# sourceMappingURL=transformation_executor.js.map
+},{"@tensorflow/tfjs-core":8,"./utils":35}],36:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.executeOp = executeOp;
+
+var _arithmetic_executor = require('./executors/arithmetic_executor');
+
+var arithmetic = _interopRequireWildcard(_arithmetic_executor);
+
+var _basic_math_executor = require('./executors/basic_math_executor');
+
+var basicMath = _interopRequireWildcard(_basic_math_executor);
+
+var _control_executor = require('./executors/control_executor');
+
+var control = _interopRequireWildcard(_control_executor);
+
+var _convolution_executor = require('./executors/convolution_executor');
+
+var convolution = _interopRequireWildcard(_convolution_executor);
+
+var _creation_executor = require('./executors/creation_executor');
+
+var creation = _interopRequireWildcard(_creation_executor);
+
+var _graph_executor = require('./executors/graph_executor');
+
+var graph = _interopRequireWildcard(_graph_executor);
+
+var _image_executor = require('./executors/image_executor');
+
+var image = _interopRequireWildcard(_image_executor);
+
+var _logical_executor = require('./executors/logical_executor');
+
+var logical = _interopRequireWildcard(_logical_executor);
+
+var _matrices_executor = require('./executors/matrices_executor');
+
+var matrices = _interopRequireWildcard(_matrices_executor);
+
+var _normalization_executor = require('./executors/normalization_executor');
+
+var normalization = _interopRequireWildcard(_normalization_executor);
+
+var _reduction_executor = require('./executors/reduction_executor');
+
+var reduction = _interopRequireWildcard(_reduction_executor);
+
+var _slice_join_executor = require('./executors/slice_join_executor');
+
+var sliceJoin = _interopRequireWildcard(_slice_join_executor);
+
+var _transformation_executor = require('./executors/transformation_executor');
+
+var transformation = _interopRequireWildcard(_transformation_executor);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+function executeOp(node, tensorMap, context) {
+    switch (node.category) {
+        case 'arithmetic':
+            return arithmetic.executeOp(node, tensorMap, context);
+        case 'basic_math':
+            return basicMath.executeOp(node, tensorMap, context);
+        case 'control':
+            return control.executeOp(node, tensorMap, context);
+        case 'convolution':
+            return convolution.executeOp(node, tensorMap, context);
+        case 'creation':
+            return creation.executeOp(node, tensorMap, context);
+        case 'image':
+            return image.executeOp(node, tensorMap, context);
+        case 'graph':
+            return graph.executeOp(node, tensorMap, context);
+        case 'logical':
+            return logical.executeOp(node, tensorMap, context);
+        case 'matrices':
+            return matrices.executeOp(node, tensorMap, context);
+        case 'normalization':
+            return normalization.executeOp(node, tensorMap, context);
+        case 'reduction':
+            return reduction.executeOp(node, tensorMap, context);
+        case 'slice_join':
+            return sliceJoin.executeOp(node, tensorMap, context);
+        case 'transformation':
+            return transformation.executeOp(node, tensorMap, context);
+        default:
+            throw TypeError("Node type " + node.op + " is not implemented");
+    }
+}
+//# sourceMappingURL=operation_executor.js.map
+},{"./executors/arithmetic_executor":38,"./executors/basic_math_executor":39,"./executors/control_executor":40,"./executors/convolution_executor":41,"./executors/creation_executor":42,"./executors/graph_executor":43,"./executors/image_executor":44,"./executors/logical_executor":45,"./executors/matrices_executor":46,"./executors/normalization_executor":47,"./executors/reduction_executor":48,"./executors/slice_join_executor":49,"./executors/transformation_executor":50}],37:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+var ExecutionContext = function () {
+    function ExecutionContext(weightMap) {
+        this.weightMap = weightMap;
+        this.rootContext = { id: 0, frameName: '', iterationId: 0 };
+        this.contexts = [this.rootContext];
+        this.lastId = 0;
+        this.generateCurrentContextIds();
+    }
+    ExecutionContext.prototype.newFrame = function (id, frameName) {
+        return { id: id, frameName: frameName, iterationId: 0 };
+    };
+    Object.defineProperty(ExecutionContext.prototype, "currentContext", {
+        get: function () {
+            return this.contexts;
+        },
+        set: function (contexts) {
+            if (this.contexts !== contexts) {
+                this.contexts = contexts;
+                this.generateCurrentContextIds();
+            }
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(ExecutionContext.prototype, "currentContextId", {
+        get: function () {
+            return this._currentContextIds[0];
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(ExecutionContext.prototype, "currentContextIds", {
+        get: function () {
+            return this._currentContextIds;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    ExecutionContext.prototype.generateCurrentContextIds = function () {
+        var names = [];
+        for (var i = 0; i < this.contexts.length - 1; i++) {
+            var contexts = this.contexts.slice(0, this.contexts.length - i);
+            names.push(this.contextIdforContexts(contexts));
+        }
+        names.push('');
+        this._currentContextIds = names;
+    };
+    ExecutionContext.prototype.contextIdforContexts = function (contexts) {
+        return contexts ? contexts.map(function (context) {
+            return context.id === 0 && context.iterationId === 0 ? '' : context.frameName + "-" + context.iterationId;
+        }).join('/') : '';
+    };
+    ExecutionContext.prototype.enterFrame = function (frameId) {
+        if (this.contexts) {
+            this.lastId++;
+            this.contexts = this.contexts.slice();
+            this.contexts.push(this.newFrame(this.lastId, frameId));
+            this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));
+        }
+    };
+    ExecutionContext.prototype.exitFrame = function () {
+        if (this.contexts && this.contexts.length > 1) {
+            this.contexts = this.contexts.slice();
+            this.contexts.splice(-1);
+            this.currentContextIds.shift();
+        } else {
+            throw new Error('Cannot exit frame, the context is empty');
+        }
+    };
+    ExecutionContext.prototype.nextIteration = function () {
+        if (this.contexts && this.contexts.length > 0) {
+            this.contexts = this.contexts.slice();
+            this.lastId++;
+            var context = Object.assign({}, this.contexts[this.contexts.length - 1]);
+            context.iterationId += 1;
+            context.id = this.lastId;
+            this.contexts.splice(-1, 1, context);
+            this._currentContextIds.splice(0, 1, this.contextIdforContexts(this.contexts));
+        } else {
+            throw new Error('Cannot increase frame iteration, the context is empty');
+        }
+    };
+    ExecutionContext.prototype.getWeight = function (name) {
+        return this.weightMap[name];
+    };
+    return ExecutionContext;
+}();
+exports.ExecutionContext = ExecutionContext;
+//# sourceMappingURL=execution_context.js.map
+},{}],15:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.GraphExecutor = undefined;
+
+var _tfjsCore = require("@tensorflow/tfjs-core");
+
+var _utils = require("../operations/executors/utils");
+
+var _operation_executor = require("../operations/operation_executor");
+
+var _execution_context = require("./execution_context");
+
+var __assign = undefined && undefined.__assign || Object.assign || function (t) {
+    for (var s, i = 1, n = arguments.length; i < n; i++) {
+        s = arguments[i];
+        for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];
+    }
+    return t;
+};
+var __awaiter = undefined && undefined.__awaiter || function (thisArg, _arguments, P, generator) {
+    return new (P || (P = Promise))(function (resolve, reject) {
+        function fulfilled(value) {
+            try {
+                step(generator.next(value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function rejected(value) {
+            try {
+                step(generator["throw"](value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function step(result) {
+            result.done ? resolve(result.value) : new P(function (resolve) {
+                resolve(result.value);
+            }).then(fulfilled, rejected);
+        }
+        step((generator = generator.apply(thisArg, _arguments || [])).next());
+    });
+};
+var __generator = undefined && undefined.__generator || function (thisArg, body) {
+    var _ = { label: 0, sent: function () {
+            if (t[0] & 1) throw t[1];return t[1];
+        }, trys: [], ops: [] },
+        f,
+        y,
+        t,
+        g;
+    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function () {
+        return this;
+    }), g;
+    function verb(n) {
+        return function (v) {
+            return step([n, v]);
+        };
+    }
+    function step(op) {
+        if (f) throw new TypeError("Generator is already executing.");
+        while (_) try {
+            if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
+            if (y = 0, t) op = [0, t.value];
+            switch (op[0]) {
+                case 0:case 1:
+                    t = op;break;
+                case 4:
+                    _.label++;return { value: op[1], done: false };
+                case 5:
+                    _.label++;y = op[1];op = [0];continue;
+                case 7:
+                    op = _.ops.pop();_.trys.pop();continue;
+                default:
+                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) {
+                        _ = 0;continue;
+                    }
+                    if (op[0] === 3 && (!t || op[1] > t[0] && op[1] < t[3])) {
+                        _.label = op[1];break;
+                    }
+                    if (op[0] === 6 && _.label < t[1]) {
+                        _.label = t[1];t = op;break;
+                    }
+                    if (t && _.label < t[2]) {
+                        _.label = t[2];_.ops.push(op);break;
+                    }
+                    if (t[2]) _.ops.pop();
+                    _.trys.pop();continue;
+            }
+            op = body.call(thisArg, _);
+        } catch (e) {
+            op = [6, e];y = 0;
+        } finally {
+            f = t = 0;
+        }
+        if (op[0] & 5) throw op[1];return { value: op[0] ? op[1] : void 0, done: true };
+    }
+};
+
+var GraphExecutor = function () {
+    function GraphExecutor(graph) {
+        this.graph = graph;
+        this.compiledOrder = [];
+        this._weightMap = {};
+        this.placeholders = graph.placeholders;
+        this._outputs = graph.outputs;
+        this.compile();
+    }
+    Object.defineProperty(GraphExecutor.prototype, "weightMap", {
+        get: function () {
+            return this._weightMap;
+        },
+        set: function (weightMap) {
+            var weightIds = Object.keys(weightMap).map(function (key) {
+                return weightMap[key].map(function (tensor) {
+                    return tensor.id;
+                });
+            });
+            this.weightIds = [].concat.apply([], weightIds);
+            this._weightMap = weightMap;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(GraphExecutor.prototype, "inputs", {
+        get: function () {
+            return this.placeholders.map(function (node) {
+                return {
+                    name: node.name,
+                    shape: node.params['shape'] ? node.params['shape'].value : undefined,
+                    dtype: node.params['dtype'] ? node.params['dtype'].value : undefined
+                };
+            });
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(GraphExecutor.prototype, "outputs", {
+        get: function () {
+            return this._outputs.map(function (node) {
+                return {
+                    name: node.name,
+                    shape: node.params['shape'] ? node.params['shape'].value : undefined,
+                    dtype: node.params['dtype'] ? node.params['dtype'].value : undefined
+                };
+            });
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(GraphExecutor.prototype, "inputNodes", {
+        get: function () {
+            return this.placeholders.map(function (node) {
+                return node.name;
+            });
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(GraphExecutor.prototype, "outputNodes", {
+        get: function () {
+            return this.outputs.map(function (node) {
+                return node.name;
+            });
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(GraphExecutor.prototype, "isControlFlowModel", {
+        get: function () {
+            return this.graph.withControlFlow;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    GraphExecutor.prototype.compile = function () {
+        if (this.graph.withControlFlow) {
+            return;
+        }
+        var stack = this.graph.inputs.slice();
+        var visited = {};
+        while (stack.length > 0) {
+            var node = stack.pop();
+            visited[node.name] = true;
+            this.compiledOrder.push(node);
+            node.children.forEach(function (childNode) {
+                if (!visited[childNode.name] && childNode.inputNames.every(function (name) {
+                    var nodeName = (0, _utils.getNodeNameAndIndex)(name)[0];
+                    return visited[nodeName];
+                })) {
+                    stack.push(childNode);
+                }
+            });
+        }
+    };
+    GraphExecutor.prototype.execute = function (inputs, outputs) {
+        var _this = this;
+        this.checkInput(inputs);
+        this.checkInputShapeAndType(inputs);
+        var result = (0, _tfjsCore.tidy)(function () {
+            var context = new _execution_context.ExecutionContext(_this._weightMap);
+            var tensors = _this.compiledOrder.reduce(function (map, node) {
+                map[node.name] = (0, _operation_executor.executeOp)(node, map, context);
+                return map;
+            }, __assign({}, _this.weightMap, inputs));
+            return _this.findOutputs(tensors, context, outputs);
+        });
+        return result;
+    };
+    GraphExecutor.prototype.executeAsync = function (inputs, outputs) {
+        return __awaiter(this, void 0, void 0, function () {
+            var _this = this;
+            var context, tensors, results, outputIds, inputIdArray, inputIds;
+            return __generator(this, function (_a) {
+                switch (_a.label) {
+                    case 0:
+                        this.checkInput(inputs);
+                        this.checkInputShapeAndType(inputs);
+                        context = new _execution_context.ExecutionContext(this._weightMap);
+                        return [4, this.executeWithControlFlow(inputs, context)];
+                    case 1:
+                        tensors = _a.sent();
+                        results = this.findOutputs(tensors, context, outputs);
+                        outputIds = Object.keys(results).map(function (key) {
+                            return results[key].id;
+                        });
+                        inputIdArray = Object.keys(inputs).map(function (key) {
+                            return inputs[key].map(function (input) {
+                                return input.id;
+                            });
+                        });
+                        inputIds = [].concat.apply([], inputIdArray);
+                        Object.keys(tensors).forEach(function (key) {
+                            var tensorArray = tensors[key];
+                            tensorArray.forEach(function (tensor) {
+                                if (tensor && outputIds.indexOf(tensor.id) === -1 && inputIds.indexOf(tensor.id) === -1 && _this.weightIds.indexOf(tensor.id) === -1) {
+                                    tensor.dispose();
+                                }
+                            });
+                        });
+                        return [2, results];
+                }
+            });
+        });
+    };
+    GraphExecutor.prototype.executeWithControlFlow = function (inputs, context) {
+        return __awaiter(this, void 0, void 0, function () {
+            var stack, tensorMap, added, item, tensors, nodeName, _a, _b;
+            return __generator(this, function (_c) {
+                switch (_c.label) {
+                    case 0:
+                        stack = this.graph.inputs.map(function (node) {
+                            return { node: node, contexts: context.currentContext };
+                        });
+                        tensorMap = __assign({}, this.weightMap, inputs);
+                        added = {};
+                        _c.label = 1;
+                    case 1:
+                        if (!(stack.length > 0)) return [3, 3];
+                        item = stack.pop();
+                        context.currentContext = item.contexts;
+                        tensors = (0, _operation_executor.executeOp)(item.node, tensorMap, context);
+                        nodeName = (0, _utils.getNodeNameAndIndex)(item.node.name, context)[0];
+                        _a = tensorMap;
+                        _b = nodeName;
+                        return [4, tensors];
+                    case 2:
+                        _a[_b] = _c.sent();
+                        item.node.children.forEach(function (childNode) {
+                            var nodeName = (0, _utils.getNodeNameAndIndex)(childNode.name, context)[0];
+                            if (!added[nodeName]) {
+                                if (childNode.op === 'merge') {
+                                    if (childNode.inputNames.some(function (name) {
+                                        return !!(0, _utils.getTensor)(name, tensorMap, context);
+                                    })) {
+                                        added[nodeName] = true;
+                                        stack.push({ contexts: context.currentContext, node: childNode });
+                                    }
+                                } else if (childNode.inputNames.every(function (name) {
+                                    return !!(0, _utils.getTensor)(name, tensorMap, context);
+                                })) {
+                                    added[nodeName] = true;
+                                    stack.push({ contexts: context.currentContext, node: childNode });
+                                }
+                            }
+                        });
+                        return [3, 1];
+                    case 3:
+                        return [2, tensorMap];
+                }
+            });
+        });
+    };
+    GraphExecutor.prototype.findOutputs = function (tensorMap, context, outputs) {
+        if (outputs && !(outputs instanceof Array)) {
+            outputs = [outputs];
+        }
+        var requestedOutputs = outputs || this.graph.outputs.map(function (node) {
+            return node.name;
+        });
+        return requestedOutputs.reduce(function (map, name) {
+            map[name] = (0, _utils.getTensor)(name, tensorMap, context);
+            return map;
+        }, {});
+    };
+    GraphExecutor.prototype.dispose = function () {
+        var _this = this;
+        Object.keys(this.weightMap).forEach(function (key) {
+            return _this.weightMap[key].forEach(function (tensor) {
+                return tensor.dispose();
+            });
+        });
+    };
+    GraphExecutor.prototype.checkInputShapeAndType = function (inputs) {
+        this.placeholders.forEach(function (node) {
+            var input = inputs[node.name][0];
+            if (node.params['shape'] && node.params['shape'].value) {
+                var shape_1 = node.params['shape'].value;
+                var match = shape_1.length === input.shape.length && input.shape.every(function (dim, index) {
+                    return shape_1[index] === -1 || shape_1[index] === dim;
+                });
+                _tfjsCore.util.assert(match, "The shape of dict['" + node.name + "'] provided in model.execute(dict) must be [" + shape_1 + "], but was [" + input.shape + "]");
+            }
+            if (node.params['dtype'] && node.params['dtype'].value) {
+                _tfjsCore.util.assert(input.dtype === node.params['dtype'].value, "The dtype of dict['" + node.name + "'] provided in model.execute(dict) must be " + node.params['dtype'].value + ", but was " + input.dtype);
+            }
+        });
+    };
+    GraphExecutor.prototype.checkInput = function (inputs) {
+        var _this = this;
+        var inputKeys = Object.keys(inputs);
+        var missing = [];
+        var extra = [];
+        this.inputNodes.forEach(function (name) {
+            if (inputKeys.indexOf(name) === -1) missing.push(name);
+        });
+        inputKeys.forEach(function (name) {
+            if (_this.inputNodes.indexOf(name) === -1) extra.push(name);
+        });
+        if (missing.length > 0) {
+            throw new Error("The dict provided in model.execute(dict) has the keys " + ("[" + inputKeys + "], but is missing the required keys: [" + missing + "]."));
+        }
+        if (extra.length > 0) {
+            throw new Error("The dict provided in model.execute(dict) has " + ("unused keys: [" + extra + "]. Please provide only the following keys: ") + ("[" + this.inputNodes + "]."));
+        }
+    };
+    return GraphExecutor;
+}();
+exports.GraphExecutor = GraphExecutor;
+//# sourceMappingURL=graph_executor.js.map
+},{"@tensorflow/tfjs-core":8,"../operations/executors/utils":35,"../operations/operation_executor":36,"./execution_context":37}],12:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+    value: true
+});
+exports.FrozenModel = undefined;
+exports.loadFrozenModel = loadFrozenModel;
+
+var _tfjsCore = require("@tensorflow/tfjs-core");
+
+var tfc = _interopRequireWildcard(_tfjsCore);
+
+var _url = require("url");
+
+var Url = _interopRequireWildcard(_url);
+
+var _compiled_api = require("../data/compiled_api");
+
+var _operation_mapper = require("../operations/operation_mapper");
+
+var _graph_executor = require("./graph_executor");
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+var __awaiter = undefined && undefined.__awaiter || function (thisArg, _arguments, P, generator) {
+    return new (P || (P = Promise))(function (resolve, reject) {
+        function fulfilled(value) {
+            try {
+                step(generator.next(value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function rejected(value) {
+            try {
+                step(generator["throw"](value));
+            } catch (e) {
+                reject(e);
+            }
+        }
+        function step(result) {
+            result.done ? resolve(result.value) : new P(function (resolve) {
+                resolve(result.value);
+            }).then(fulfilled, rejected);
+        }
+        step((generator = generator.apply(thisArg, _arguments || [])).next());
+    });
+};
+var __generator = undefined && undefined.__generator || function (thisArg, body) {
+    var _ = { label: 0, sent: function () {
+            if (t[0] & 1) throw t[1];return t[1];
+        }, trys: [], ops: [] },
+        f,
+        y,
+        t,
+        g;
+    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function () {
+        return this;
+    }), g;
+    function verb(n) {
+        return function (v) {
+            return step([n, v]);
+        };
+    }
+    function step(op) {
+        if (f) throw new TypeError("Generator is already executing.");
+        while (_) try {
+            if (f = 1, y && (t = y[op[0] & 2 ? "return" : op[0] ? "throw" : "next"]) && !(t = t.call(y, op[1])).done) return t;
+            if (y = 0, t) op = [0, t.value];
+            switch (op[0]) {
+                case 0:case 1:
+                    t = op;break;
+                case 4:
+                    _.label++;return { value: op[1], done: false };
+                case 5:
+                    _.label++;y = op[1];op = [0];continue;
+                case 7:
+                    op = _.ops.pop();_.trys.pop();continue;
+                default:
+                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) {
+                        _ = 0;continue;
+                    }
+                    if (op[0] === 3 && (!t || op[1] > t[0] && op[1] < t[3])) {
+                        _.label = op[1];break;
+                    }
+                    if (op[0] === 6 && _.label < t[1]) {
+                        _.label = t[1];t = op;break;
+                    }
+                    if (t && _.label < t[2]) {
+                        _.label = t[2];_.ops.push(op);break;
+                    }
+                    if (t[2]) _.ops.pop();
+                    _.trys.pop();continue;
+            }
+            op = body.call(thisArg, _);
+        } catch (e) {
+            op = [6, e];y = 0;
+        } finally {
+            f = t = 0;
+        }
+        if (op[0] & 5) throw op[1];return { value: op[0] ? op[1] : void 0, done: true };
+    }
+};
+
+var FrozenModel = function () {
+    function FrozenModel(modelUrl, weightManifestUrl, requestOption) {
+        this.modelUrl = modelUrl;
+        this.weightManifestUrl = weightManifestUrl;
+        this.requestOption = requestOption;
+        this.version = 'n/a';
+        this.pathPrefix = this.getPathPrefix();
+    }
+    Object.defineProperty(FrozenModel.prototype, "modelVersion", {
+        get: function () {
+            return this.version;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(FrozenModel.prototype, "inputNodes", {
+        get: function () {
+            return this.executor.inputNodes;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(FrozenModel.prototype, "outputNodes", {
+        get: function () {
+            return this.executor.outputNodes;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(FrozenModel.prototype, "inputs", {
+        get: function () {
+            return this.executor.inputs;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    Object.defineProperty(FrozenModel.prototype, "outputs", {
+        get: function () {
+            return this.executor.outputs;
+        },
+        enumerable: true,
+        configurable: true
+    });
+    FrozenModel.prototype.getPathPrefix = function () {
+        var url = Url.parse(this.weightManifestUrl);
+        var segments = url.pathname.split('/');
+        segments.splice(-1);
+        url.pathname = segments.join('/');
+        return Url.format(url) + '/';
+    };
+    FrozenModel.prototype.loadRemoteProtoFile = function () {
+        return __awaiter(this, void 0, void 0, function () {
+            var response, _a, _b, _c, error_1;
+            return __generator(this, function (_d) {
+                switch (_d.label) {
+                    case 0:
+                        _d.trys.push([0, 3,, 4]);
+                        return [4, fetch(this.modelUrl, this.requestOption)];
+                    case 1:
+                        response = _d.sent();
+                        _b = (_a = _compiled_api.tensorflow.GraphDef).decode;
+                        _c = Uint8Array.bind;
+                        return [4, response.arrayBuffer()];
+                    case 2:
+                        return [2, _b.apply(_a, [new (_c.apply(Uint8Array, [void 0, _d.sent()]))()])];
+                    case 3:
+                        error_1 = _d.sent();
+                        throw new Error(this.modelUrl + " not found. " + error_1);
+                    case 4:
+                        return [2];
+                }
+            });
+        });
+    };
+    FrozenModel.prototype.loadWeightManifest = function () {
+        return __awaiter(this, void 0, void 0, function () {
+            var manifest, _a, error_2;
+            return __generator(this, function (_b) {
+                switch (_b.label) {
+                    case 0:
+                        _b.trys.push([0, 3,, 4]);
+                        return [4, fetch(this.weightManifestUrl, this.requestOption)];
+                    case 1:
+                        manifest = _b.sent();
+                        _a = this;
+                        return [4, manifest.clone().json()];
+                    case 2:
+                        _a.weightManifest = _b.sent();
+                        return [3, 4];
+                    case 3:
+                        error_2 = _b.sent();
+                        throw new Error(this.weightManifestUrl + " not found. " + error_2);
+                    case 4:
+                        return [2];
+                }
+            });
+        });
+    };
+    FrozenModel.prototype.load = function () {
+        return __awaiter(this, void 0, void 0, function () {
+            var graphPromise, manifestPromise, graph, weightMap;
+            return __generator(this, function (_a) {
+                switch (_a.label) {
+                    case 0:
+                        graphPromise = this.loadRemoteProtoFile();
+                        manifestPromise = this.loadWeightManifest();
+                        return [4, Promise.all([graphPromise, manifestPromise])];
+                    case 1:
+                        graph = _a.sent()[0];
+                        this.version = graph.versions.producer + "." + graph.versions.minConsumer;
+                        return [4, tfc.io.loadWeights(this.weightManifest, this.pathPrefix, undefined, this.requestOption)];
+                    case 2:
+                        weightMap = _a.sent();
+                        this.executor = new _graph_executor.GraphExecutor(_operation_mapper.OperationMapper.Instance.transformGraph(graph));
+                        this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);
+                        return [2, true];
+                }
+            });
+        });
+    };
+    FrozenModel.prototype.predict = function (inputs, config) {
+        return this.execute(inputs, this.outputNodes);
+    };
+    FrozenModel.prototype.constructTensorMap = function (inputs) {
+        var inputArray = inputs instanceof tfc.Tensor ? [inputs] : inputs;
+        if (inputArray.length !== this.inputNodes.length) {
+            throw new Error('Input tensor count mismatch,' + ("the frozen model has " + this.inputNodes.length + " placeholders, ") + ("while there are " + inputArray.length + " input tensors."));
+        }
+        return this.inputNodes.reduce(function (map, inputName, i) {
+            map[inputName] = inputArray[i];
+            return map;
+        }, {});
+    };
+    FrozenModel.prototype.execute = function (inputs, outputs) {
+        outputs = outputs || this.outputNodes;
+        if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {
+            inputs = this.constructTensorMap(inputs);
+        }
+        if (this.executor.isControlFlowModel) {
+            throw new Error('The model contains control flow ops, ' + 'please use executeAsync method');
+        }
+        var result = this.executor.execute(this.convertTensorMapToTensorsMap(inputs), outputs);
+        var keys = Object.keys(result);
+        return Array.isArray(outputs) && outputs.length > 1 ? outputs.map(function (node) {
+            return result[node];
+        }) : result[keys[0]];
+    };
+    FrozenModel.prototype.executeAsync = function (inputs, outputs) {
+        return __awaiter(this, void 0, void 0, function () {
+            var result, keys;
+            return __generator(this, function (_a) {
+                switch (_a.label) {
+                    case 0:
+                        if (!this.executor.isControlFlowModel) {
+                            throw new Error('The model does not contain control flow ops, ' + 'please use execute method for better performance.');
+                        }
+                        outputs = outputs || this.outputNodes;
+                        if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {
+                            inputs = this.constructTensorMap(inputs);
+                        }
+                        return [4, this.executor.executeAsync(this.convertTensorMapToTensorsMap(inputs), outputs)];
+                    case 1:
+                        result = _a.sent();
+                        keys = Object.keys(result);
+                        return [2, Array.isArray(outputs) && outputs.length > 1 ? outputs.map(function (node) {
+                            return result[node];
+                        }) : result[keys[0]]];
+                }
+            });
+        });
+    };
+    FrozenModel.prototype.convertTensorMapToTensorsMap = function (map) {
+        return Object.keys(map).reduce(function (newMap, key) {
+            newMap[key] = [map[key]];
+            return newMap;
+        }, {});
+    };
+    FrozenModel.prototype.dispose = function () {
+        this.executor.dispose();
+    };
+    return FrozenModel;
+}();
+exports.FrozenModel = FrozenModel;
+function loadFrozenModel(modelUrl, weightsManifestUrl, requestOption) {
+    return __awaiter(this, void 0, void 0, function () {
+        var model;
+        return __generator(this, function (_a) {
+            switch (_a.label) {
+                case 0:
+                    model = new FrozenModel(modelUrl, weightsManifestUrl, requestOption);
+                    return [4, model.load()];
+                case 1:
+                    _a.sent();
+                    return [2, model];
+            }
+        });
+    });
+}
+//# sourceMappingURL=frozen_model.js.map
+},{"@tensorflow/tfjs-core":8,"url":16,"../data/compiled_api":13,"../operations/operation_mapper":14,"./graph_executor":15}],11:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+var version = '0.4.3';
+exports.version = version;
+//# sourceMappingURL=version.js.map
+},{}],10:[function(require,module,exports) {
+'use strict';
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+
+var _frozen_model = require('./executor/frozen_model');
+
+Object.defineProperty(exports, 'FrozenModel', {
+  enumerable: true,
+  get: function () {
+    return _frozen_model.FrozenModel;
+  }
+});
+Object.defineProperty(exports, 'loadFrozenModel', {
+  enumerable: true,
+  get: function () {
+    return _frozen_model.loadFrozenModel;
+  }
+});
+
+var _version = require('./version');
+
+Object.defineProperty(exports, 'version_converter', {
+  enumerable: true,
+  get: function () {
+    return _version.version;
+  }
+});
+},{"./executor/frozen_model":12,"./version":11}],7:[function(require,module,exports) {
+"use strict";
+
+Object.defineProperty(exports, "__esModule", {
+  value: true
+});
+exports.version = undefined;
+
+var _tfjsCore = require("@tensorflow/tfjs-core");
+
+Object.keys(_tfjsCore).forEach(function (key) {
+  if (key === "default" || key === "__esModule") return;
+  Object.defineProperty(exports, key, {
+    enumerable: true,
+    get: function () {
+      return _tfjsCore[key];
+    }
+  });
+});
+
+var _tfjsLayers = require("@tensorflow/tfjs-layers");
+
+Object.keys(_tfjsLayers).forEach(function (key) {
+  if (key === "default" || key === "__esModule") return;
+  Object.defineProperty(exports, key, {
+    enumerable: true,
+    get: function () {
+      return _tfjsLayers[key];
+    }
+  });
+});
+
+var _tfjsConverter = require("@tensorflow/tfjs-converter");
+
+Object.keys(_tfjsConverter).forEach(function (key) {
+  if (key === "default" || key === "__esModule") return;
+  Object.defineProperty(exports, key, {
+    enumerable: true,
+    get: function () {
+      return _tfjsConverter[key];
+    }
+  });
+});
+// @tensorflow/tfjs Copyright 2018 Google
+var version = "0.11.7",
+    version$1 = { "tfjs-core": _tfjsCore.version_core, "tfjs-layers": _tfjsLayers.version_layers, "tfjs-converter": _tfjsConverter.version_converter, tfjs: version };exports.version = version$1;
+},{"@tensorflow/tfjs-core":8,"@tensorflow/tfjs-layers":9,"@tensorflow/tfjs-converter":10}],2:[function(require,module,exports) {
+
+'use strict';
+
+var _tfjs = require('@tensorflow/tfjs');
+
+var tf = _interopRequireWildcard(_tfjs);
+
+function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
+
+console.log("HELLO I AM HERE");
+
+var model = tf.loadModel('tfjs/model.json');
+var x = "/krestik.gif";
+var o = "/nolik.gif";
+var blank = "/blank.jpg";
+var pause = 0;
+var all = 0;
+var a = 0;
+var b = 0;
+var c = 0;
+var d = 0;
+var e = 0;
+var f = 0;
+var g = 0;
+var h = 0;
+var i = 0;
+var temp = "";
+var ok = 0;
+var cf = 0;
+var choice = 9;
+var aRandomNumber = 0;
+var comp = 0;
+var t = 0;
+var wn = 0;
+var ls = 0;
+var ts = 0;
+function logicOne() {
+  if (a == 1 && b == 1 && c == 1) all = 1;
+  if (a == 1 && d == 1 && g == 1) all = 1;
+  if (a == 1 && e == 1 && i == 1) all = 1;
+  if (b == 1 && e == 1 && h == 1) all = 1;
+  if (d == 1 && e == 1 && f == 1) all = 1;
+  if (g == 1 && h == 1 && i == 1) all = 1;
+  if (c == 1 && f == 1 && i == 1) all = 1;
+  if (g == 1 && e == 1 && c == 1) all = 1;
+  if (a == 2 && b == 2 && c == 2) all = 2;
+  if (a == 2 && d == 2 && g == 2) all = 2;
+  if (a == 2 && e == 2 && i == 2) all = 2;
+  if (b == 2 && e == 2 && h == 2) all = 2;
+  if (d == 2 && e == 2 && f == 2) all = 2;
+  if (g == 2 && h == 2 && i == 2) all = 2;
+  if (c == 2 && f == 2 && i == 2) all = 2;
+  if (g == 2 && e == 2 && c == 2) all = 2;
+  if (a != 0 && b != 0 && c != 0 && d != 0 && e != 0 && f != 0 && g != 0 && h != 0 && i != 0 && all == 0) all = 3;
+}
+function logicTwo() {
+  if (a == 2 && b == 2 && c == 0 && temp == "") temp = "C";
+  if (a == 2 && b == 0 && c == 2 && temp == "") temp = "B";
+  if (a == 0 && b == 2 && c == 2 && temp == "") temp = "A";
+  if (a == 2 && d == 2 && g == 0 && temp == "") temp = "G";
+  if (a == 2 && d == 0 && g == 2 && temp == "") temp = "D";
+  if (a == 0 && d == 2 && g == 2 && temp == "") temp = "A";
+  if (a == 2 && e == 2 && i == 0 && temp == "") temp = "I";
+  if (a == 2 && e == 0 && i == 2 && temp == "") temp = "E";
+  if (a == 0 && e == 2 && i == 2 && temp == "") temp = "A";
+  if (b == 2 && e == 2 && h == 0 && temp == "") temp = "H";
+  if (b == 2 && e == 0 && h == 2 && temp == "") temp = "E";
+  if (b == 0 && e == 2 && h == 2 && temp == "") temp = "B";
+  if (d == 2 && e == 2 && f == 0 && temp == "") temp = "F";
+  if (d == 2 && e == 0 && f == 2 && temp == "") temp = "E";
+  if (d == 0 && e == 2 && f == 2 && temp == "") temp = "D";
+  if (g == 2 && h == 2 && i == 0 && temp == "") temp = "I";
+  if (g == 2 && h == 0 && i == 2 && temp == "") temp = "H";
+  if (g == 0 && h == 2 && i == 2 && temp == "") temp = "G";
+  if (c == 2 && f == 2 && i == 0 && temp == "") temp = "I";
+  if (c == 2 && f == 0 && i == 2 && temp == "") temp = "F";
+  if (c == 0 && f == 2 && i == 2 && temp == "") temp = "C";
+  if (g == 2 && e == 2 && c == 0 && temp == "") temp = "C";
+  if (g == 2 && e == 0 && c == 2 && temp == "") temp = "E";
+  if (g == 0 && e == 2 && c == 2 && temp == "") temp = "G";
+}
+function logicThree() {
+  if (a == 1 && b == 1 && c == 0 && temp == "") temp = "C";
+  if (a == 1 && b == 0 && c == 1 && temp == "") temp = "B";
+  if (a == 0 && b == 1 && c == 1 && temp == "") temp = "A";
+  if (a == 1 && d == 1 && g == 0 && temp == "") temp = "G";
+  if (a == 1 && d == 0 && g == 1 && temp == "") temp = "D";
+  if (a == 0 && d == 1 && g == 1 && temp == "") temp = "A";
+  if (a == 1 && e == 1 && i == 0 && temp == "") temp = "I";
+  if (a == 1 && e == 0 && i == 1 && temp == "") temp = "E";
+  if (a == 0 && e == 1 && i == 1 && temp == "") temp = "A";
+  if (b == 1 && e == 1 && h == 0 && temp == "") temp = "H";
+  if (b == 1 && e == 0 && h == 1 && temp == "") temp = "E";
+  if (b == 0 && e == 1 && h == 1 && temp == "") temp = "B";
+  if (d == 1 && e == 1 && f == 0 && temp == "") temp = "F";
+  if (d == 1 && e == 0 && f == 1 && temp == "") temp = "E";
+  if (d == 0 && e == 1 && f == 1 && temp == "") temp = "D";
+  if (g == 1 && h == 1 && i == 0 && temp == "") temp = "I";
+  if (g == 1 && h == 0 && i == 1 && temp == "") temp = "H";
+  if (g == 0 && h == 1 && i == 1 && temp == "") temp = "G";
+  if (c == 1 && f == 1 && i == 0 && temp == "") temp = "I";
+  if (c == 1 && f == 0 && i == 1 && temp == "") temp = "F";
+  if (c == 0 && f == 1 && i == 1 && temp == "") temp = "C";
+  if (g == 1 && e == 1 && c == 0 && temp == "") temp = "C";
+  if (g == 1 && e == 0 && c == 1 && temp == "") temp = "E";
+  if (g == 0 && e == 1 && c == 1 && temp == "") temp = "G";
+}
+function clearOut() {
+  document.game.you.value = "0";
+  document.game.computer.value = "0";
+  document.game.ties.value = "0";
+}
+function checkSpace() {
+  if (temp == "A" && a == 0) {
+    ok = 1;
+    if (cf == 0) a = 1;
+    if (cf == 1) a = 2;
+  }
+  if (temp == "B" && b == 0) {
+    ok = 1;
+    if (cf == 0) b = 1;
+    if (cf == 1) b = 2;
+  }
+  if (temp == "C" && c == 0) {
+    ok = 1;
+    if (cf == 0) c = 1;
+    if (cf == 1) c = 2;
+  }
+  if (temp == "D" && d == 0) {
+    ok = 1;
+    if (cf == 0) d = 1;
+    if (cf == 1) d = 2;
+  }
+  if (temp == "E" && e == 0) {
+    ok = 1;
+    if (cf == 0) e = 1;
+    if (cf == 1) e = 2;
+  }
+  if (temp == "F" && f == 0) {
+    ok = 1;
+    if (cf == 0) f = 1;
+    if (cf == 1) f = 2;
+  }
+  if (temp == "G" && g == 0) {
+    ok = 1;
+    if (cf == 0) g = 1;
+    if (cf == 1) g = 2;
+  }
+  if (temp == "H" && h == 0) {
+    ok = 1;
+    if (cf == 0) h = 1;
+    if (cf == 1) h = 2;
+  }
+  if (temp == "I" && i == 0) {
+    ok = 1;
+    if (cf == 0) i = 1;
+    if (cf == 1) i = 2;
+  }
+}
+function yourChoice(chName) {
+  pause = 0;
+  if (all != 0) ended();
+  if (all == 0) {
+    cf = 0;
+    ok = 0;
+    temp = chName;
+    checkSpace();
+    if (ok == 1) {
+      document.images[chName].src = x;
+    }
+    if (ok == 0) taken();
+    process();
+    if (all == 0 && pause == 0) myChoice();
+  }
+}
+function taken() {
+  alert("This cell in not empty! Try another");
+  pause = 1;
+}
+function myChoice() {
+  temp = "";
+  ok = 0;
+  cf = 1;
+  logicTwo();
+  logicThree();
+  checkSpace();
+  while (ok == 0) {
+    aRandomNumber = Math.random();
+    comp = Math.round((choice - 1) * aRandomNumber) + 1;
+    if (comp == 1) temp = "A";
+    if (comp == 2) temp = "B";
+    if (comp == 3) temp = "C";
+    if (comp == 4) temp = "D";
+    if (comp == 5) temp = "E";
+    if (comp == 6) temp = "F";
+    if (comp == 7) temp = "G";
+    if (comp == 8) temp = "H";
+    if (comp == 9) temp = "I";
+    checkSpace();
+  }
+  document.images[temp].src = o;
+  process();
+}
+function ended() {
+  alert("Game over! To play once more press a button 'New Game'");
+}
+function process() {
+  logicOne();
+  if (all == 1) {
+    alert("You win!");wn++;
+  }
+  if (all == 2) {
+    alert("You lose!");ls++;
+  }
+  if (all == 3) {
+    alert("Draw!");ts++;
+  }
+  if (all != 0) {
+    document.game.you.value = wn;
+    document.game.computer.value = ls;
+    document.game.ties.value = ts;
+  }
+}
+function playAgain() {
+  if (all == 0) {
+    if (confirm("Âû óâåðåíû ?")) reset();
+  }
+  if (all > 0) reset();
+}
+function reset() {
+  all = 0;
+  a = 0;
+  b = 0;
+  c = 0;
+  d = 0;
+  e = 0;
+  f = 0;
+  g = 0;
+  h = 0;
+  i = 0;
+  temp = "";
+  ok = 0;
+  cf = 0;
+  choice = 9;
+  aRandomNumber = 0;
+  comp = 0;
+  document.images.A.src = blank;
+  document.images.B.src = blank;
+  document.images.C.src = blank;
+  document.images.D.src = blank;
+  document.images.E.src = blank;
+  document.images.F.src = blank;
+  document.images.G.src = blank;
+  document.images.H.src = blank;
+  document.images.I.src = blank;
+  if (t == 0) {
+    t = 2;myChoice();
+  }
+  t--;
+}
+var ie4 = document.all ? true : false;
+var nn4 = document.layers ? true : false;
+
+document.getElementById("A").onclick = function () {
+  yourChoice('A');
+};
+document.getElementById("B").onclick = function () {
+  yourChoice('B');
+};
+document.getElementById("C").onclick = function () {
+  yourChoice('C');
+};
+document.getElementById("D").onclick = function () {
+  yourChoice('D');
+};
+document.getElementById("E").onclick = function () {
+  yourChoice('E');
+};
+document.getElementById("F").onclick = function () {
+  yourChoice('F');
+};
+document.getElementById("G").onclick = function () {
+  yourChoice('G');
+};
+document.getElementById("H").onclick = function () {
+  yourChoice('H');
+};
+document.getElementById("I").onclick = function () {
+  yourChoice('I');
+};
+document.getElementById("button").onclick = function () {
+  playAgain();
+};
+
+// async function setupMnistTransferCNN() {
+//   const button = document.getElementById('load-pretrained-remote');
+//   button.addEventListener('click', async () => {
+//       yourChoice('A')
+//   });
+// }
+
+// setupMnistTransferCNN();
+},{"@tensorflow/tfjs":7,"process":6}]},{},[2], null)
+//# sourceMappingURL=/backend.9717565c.map
\ No newline at end of file
diff --git a/tictac/dist/backend.9717565c.map b/tictac/dist/backend.9717565c.map
new file mode 100644
index 00000000..4f52a6f6
--- /dev/null
+++ b/tictac/dist/backend.9717565c.map
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strict'\n\nexports.byteLength = byteLength\nexports.toByteArray = toByteArray\nexports.fromByteArray = fromByteArray\n\nvar lookup = []\nvar revLookup = []\nvar Arr = typeof Uint8Array !== 'undefined' ? Uint8Array : Array\n\nvar code = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'\nfor (var i = 0, len = code.length; i < len; ++i) {\n  lookup[i] = code[i]\n  revLookup[code.charCodeAt(i)] = i\n}\n\n// Support decoding URL-safe base64 strings, as Node.js does.\n// See: https://en.wikipedia.org/wiki/Base64#URL_applications\nrevLookup['-'.charCodeAt(0)] = 62\nrevLookup['_'.charCodeAt(0)] = 63\n\nfunction getLens (b64) {\n  var len = b64.length\n\n  if (len % 4 > 0) {\n    throw new Error('Invalid string. Length must be a multiple of 4')\n  }\n\n  // Trim off extra bytes after placeholder bytes are found\n  // See: https://github.com/beatgammit/base64-js/issues/42\n  var validLen = b64.indexOf('=')\n  if (validLen === -1) validLen = len\n\n  var placeHoldersLen = validLen === len\n    ? 0\n    : 4 - (validLen % 4)\n\n  return [validLen, placeHoldersLen]\n}\n\n// base64 is 4/3 + up to two characters of the original data\nfunction byteLength (b64) {\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction _byteLength (b64, validLen, placeHoldersLen) {\n  return ((validLen + placeHoldersLen) * 3 / 4) - placeHoldersLen\n}\n\nfunction toByteArray (b64) {\n  var tmp\n  var lens = getLens(b64)\n  var validLen = lens[0]\n  var placeHoldersLen = lens[1]\n\n  var arr = new Arr(_byteLength(b64, validLen, placeHoldersLen))\n\n  var curByte = 0\n\n  // if there are placeholders, only get up to the last complete 4 chars\n  var len = placeHoldersLen > 0\n    ? validLen - 4\n    : validLen\n\n  for (var i = 0; i < len; i += 4) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 18) |\n      (revLookup[b64.charCodeAt(i + 1)] << 12) |\n      (revLookup[b64.charCodeAt(i + 2)] << 6) |\n      revLookup[b64.charCodeAt(i + 3)]\n    arr[curByte++] = (tmp >> 16) & 0xFF\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 2) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 2) |\n      (revLookup[b64.charCodeAt(i + 1)] >> 4)\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  if (placeHoldersLen === 1) {\n    tmp =\n      (revLookup[b64.charCodeAt(i)] << 10) |\n      (revLookup[b64.charCodeAt(i + 1)] << 4) |\n      (revLookup[b64.charCodeAt(i + 2)] >> 2)\n    arr[curByte++] = (tmp >> 8) & 0xFF\n    arr[curByte++] = tmp & 0xFF\n  }\n\n  return arr\n}\n\nfunction tripletToBase64 (num) {\n  return lookup[num >> 18 & 0x3F] +\n    lookup[num >> 12 & 0x3F] +\n    lookup[num >> 6 & 0x3F] +\n    lookup[num & 0x3F]\n}\n\nfunction encodeChunk (uint8, start, end) {\n  var tmp\n  var output = []\n  for (var i = start; i < end; i += 3) {\n    tmp =\n      ((uint8[i] << 16) & 0xFF0000) +\n      ((uint8[i + 1] << 8) & 0xFF00) +\n      (uint8[i + 2] & 0xFF)\n    output.push(tripletToBase64(tmp))\n  }\n  return output.join('')\n}\n\nfunction fromByteArray (uint8) {\n  var tmp\n  var len = uint8.length\n  var extraBytes = len % 3 // if we have 1 byte left, pad 2 bytes\n  var parts = []\n  var maxChunkLength = 16383 // must be multiple of 3\n\n  // go through the array every three bytes, we'll deal with trailing stuff later\n  for (var i = 0, len2 = len - extraBytes; i < len2; i += maxChunkLength) {\n    parts.push(encodeChunk(\n      uint8, i, (i + maxChunkLength) > len2 ? len2 : (i + maxChunkLength)\n    ))\n  }\n\n  // pad the end with zeros, but make sure to not forget the extra bytes\n  if (extraBytes === 1) {\n    tmp = uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 2] +\n      lookup[(tmp << 4) & 0x3F] +\n      '=='\n    )\n  } else if (extraBytes === 2) {\n    tmp = (uint8[len - 2] << 8) + uint8[len - 1]\n    parts.push(\n      lookup[tmp >> 10] +\n      lookup[(tmp >> 4) & 0x3F] +\n      lookup[(tmp << 2) & 0x3F] +\n      '='\n    )\n  }\n\n  return parts.join('')\n}\n","exports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var nBits = -7\n  var i = isLE ? (nBytes - 1) : 0\n  var d = isLE ? -1 : 1\n  var s = buffer[offset + i]\n\n  i += d\n\n  e = s & ((1 << (-nBits)) - 1)\n  s >>= (-nBits)\n  nBits += eLen\n  for (; nBits > 0; e = (e * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  m = e & ((1 << (-nBits)) - 1)\n  e >>= (-nBits)\n  nBits += mLen\n  for (; nBits > 0; m = (m * 256) + buffer[offset + i], i += d, nBits -= 8) {}\n\n  if (e === 0) {\n    e = 1 - eBias\n  } else if (e === eMax) {\n    return m ? NaN : ((s ? -1 : 1) * Infinity)\n  } else {\n    m = m + Math.pow(2, mLen)\n    e = e - eBias\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen)\n}\n\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c\n  var eLen = (nBytes * 8) - mLen - 1\n  var eMax = (1 << eLen) - 1\n  var eBias = eMax >> 1\n  var rt = (mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0)\n  var i = isLE ? 0 : (nBytes - 1)\n  var d = isLE ? 1 : -1\n  var s = value < 0 || (value === 0 && 1 / value < 0) ? 1 : 0\n\n  value = Math.abs(value)\n\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0\n    e = eMax\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2)\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--\n      c *= 2\n    }\n    if (e + eBias >= 1) {\n      value += rt / c\n    } else {\n      value += rt * Math.pow(2, 1 - eBias)\n    }\n    if (value * c >= 2) {\n      e++\n      c /= 2\n    }\n\n    if (e + eBias >= eMax) {\n      m = 0\n      e = eMax\n    } else if (e + eBias >= 1) {\n      m = ((value * c) - 1) * Math.pow(2, mLen)\n      e = e + eBias\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen)\n      e = 0\n    }\n  }\n\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n\n  e = (e << mLen) | m\n  eLen += mLen\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n\n  buffer[offset + i - d] |= s * 128\n}\n","var toString = {}.toString;\n\nmodule.exports = Array.isArray || function (arr) {\n  return toString.call(arr) == '[object Array]';\n};\n","/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n'use strict'\n\nvar base64 = require('base64-js')\nvar ieee754 = require('ieee754')\nvar isArray = require('isarray')\n\nexports.Buffer = Buffer\nexports.SlowBuffer = SlowBuffer\nexports.INSPECT_MAX_BYTES = 50\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Use Object implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * Due to various browser bugs, sometimes the Object implementation will be used even\n * when the browser supports typed arrays.\n *\n * Note:\n *\n *   - Firefox 4-29 lacks support for adding new properties to `Uint8Array` instances,\n *     See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438.\n *\n *   - Chrome 9-10 is missing the `TypedArray.prototype.subarray` function.\n *\n *   - IE10 has a broken `TypedArray.prototype.subarray` function which returns arrays of\n *     incorrect length in some situations.\n\n * We detect these buggy browsers and set `Buffer.TYPED_ARRAY_SUPPORT` to `false` so they\n * get the Object implementation, which is slower but behaves correctly.\n */\nBuffer.TYPED_ARRAY_SUPPORT = global.TYPED_ARRAY_SUPPORT !== undefined\n  ? global.TYPED_ARRAY_SUPPORT\n  : typedArraySupport()\n\n/*\n * Export kMaxLength after typed array support is determined.\n */\nexports.kMaxLength = kMaxLength()\n\nfunction typedArraySupport () {\n  try {\n    var arr = new Uint8Array(1)\n    arr.__proto__ = {__proto__: Uint8Array.prototype, foo: function () { return 42 }}\n    return arr.foo() === 42 && // typed array instances can be augmented\n        typeof arr.subarray === 'function' && // chrome 9-10 lack `subarray`\n        arr.subarray(1, 1).byteLength === 0 // ie10 has broken `subarray`\n  } catch (e) {\n    return false\n  }\n}\n\nfunction kMaxLength () {\n  return Buffer.TYPED_ARRAY_SUPPORT\n    ? 0x7fffffff\n    : 0x3fffffff\n}\n\nfunction createBuffer (that, length) {\n  if (kMaxLength() < length) {\n    throw new RangeError('Invalid typed array length')\n  }\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = new Uint8Array(length)\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    if (that === null) {\n      that = new Buffer(length)\n    }\n    that.length = length\n  }\n\n  return that\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer (arg, encodingOrOffset, length) {\n  if (!Buffer.TYPED_ARRAY_SUPPORT && !(this instanceof Buffer)) {\n    return new Buffer(arg, encodingOrOffset, length)\n  }\n\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new Error(\n        'If encoding is specified then the first argument must be a string'\n      )\n    }\n    return allocUnsafe(this, arg)\n  }\n  return from(this, arg, encodingOrOffset, length)\n}\n\nBuffer.poolSize = 8192 // not used by this implementation\n\n// TODO: Legacy, not needed anymore. Remove in next major version.\nBuffer._augment = function (arr) {\n  arr.__proto__ = Buffer.prototype\n  return arr\n}\n\nfunction from (that, value, encodingOrOffset, length) {\n  if (typeof value === 'number') {\n    throw new TypeError('\"value\" argument must not be a number')\n  }\n\n  if (typeof ArrayBuffer !== 'undefined' && value instanceof ArrayBuffer) {\n    return fromArrayBuffer(that, value, encodingOrOffset, length)\n  }\n\n  if (typeof value === 'string') {\n    return fromString(that, value, encodingOrOffset)\n  }\n\n  return fromObject(that, value)\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(null, value, encodingOrOffset, length)\n}\n\nif (Buffer.TYPED_ARRAY_SUPPORT) {\n  Buffer.prototype.__proto__ = Uint8Array.prototype\n  Buffer.__proto__ = Uint8Array\n  if (typeof Symbol !== 'undefined' && Symbol.species &&\n      Buffer[Symbol.species] === Buffer) {\n    // Fix subarray() in ES2016. See: https://github.com/feross/buffer/pull/97\n    Object.defineProperty(Buffer, Symbol.species, {\n      value: null,\n      configurable: true\n    })\n  }\n}\n\nfunction assertSize (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be a number')\n  } else if (size < 0) {\n    throw new RangeError('\"size\" argument must not be negative')\n  }\n}\n\nfunction alloc (that, size, fill, encoding) {\n  assertSize(size)\n  if (size <= 0) {\n    return createBuffer(that, size)\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpretted as a start offset.\n    return typeof encoding === 'string'\n      ? createBuffer(that, size).fill(fill, encoding)\n      : createBuffer(that, size).fill(fill)\n  }\n  return createBuffer(that, size)\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(null, size, fill, encoding)\n}\n\nfunction allocUnsafe (that, size) {\n  assertSize(size)\n  that = createBuffer(that, size < 0 ? 0 : checked(size) | 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) {\n    for (var i = 0; i < size; ++i) {\n      that[i] = 0\n    }\n  }\n  return that\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(null, size)\n}\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(null, size)\n}\n\nfunction fromString (that, string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8'\n  }\n\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('\"encoding\" must be a valid string encoding')\n  }\n\n  var length = byteLength(string, encoding) | 0\n  that = createBuffer(that, length)\n\n  var actual = that.write(string, encoding)\n\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    that = that.slice(0, actual)\n  }\n\n  return that\n}\n\nfunction fromArrayLike (that, array) {\n  var length = array.length < 0 ? 0 : checked(array.length) | 0\n  that = createBuffer(that, length)\n  for (var i = 0; i < length; i += 1) {\n    that[i] = array[i] & 255\n  }\n  return that\n}\n\nfunction fromArrayBuffer (that, array, byteOffset, length) {\n  array.byteLength // this throws if `array` is not a valid ArrayBuffer\n\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\\'offset\\' is out of bounds')\n  }\n\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\\'length\\' is out of bounds')\n  }\n\n  if (byteOffset === undefined && length === undefined) {\n    array = new Uint8Array(array)\n  } else if (length === undefined) {\n    array = new Uint8Array(array, byteOffset)\n  } else {\n    array = new Uint8Array(array, byteOffset, length)\n  }\n\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    // Return an augmented `Uint8Array` instance, for best performance\n    that = array\n    that.__proto__ = Buffer.prototype\n  } else {\n    // Fallback: Return an object instance of the Buffer class\n    that = fromArrayLike(that, array)\n  }\n  return that\n}\n\nfunction fromObject (that, obj) {\n  if (Buffer.isBuffer(obj)) {\n    var len = checked(obj.length) | 0\n    that = createBuffer(that, len)\n\n    if (that.length === 0) {\n      return that\n    }\n\n    obj.copy(that, 0, 0, len)\n    return that\n  }\n\n  if (obj) {\n    if ((typeof ArrayBuffer !== 'undefined' &&\n        obj.buffer instanceof ArrayBuffer) || 'length' in obj) {\n      if (typeof obj.length !== 'number' || isnan(obj.length)) {\n        return createBuffer(that, 0)\n      }\n      return fromArrayLike(that, obj)\n    }\n\n    if (obj.type === 'Buffer' && isArray(obj.data)) {\n      return fromArrayLike(that, obj.data)\n    }\n  }\n\n  throw new TypeError('First argument must be a string, Buffer, ArrayBuffer, Array, or array-like object.')\n}\n\nfunction checked (length) {\n  // Note: cannot use `length < kMaxLength()` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= kMaxLength()) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' +\n                         'size: 0x' + kMaxLength().toString(16) + ' bytes')\n  }\n  return length | 0\n}\n\nfunction SlowBuffer (length) {\n  if (+length != length) { // eslint-disable-line eqeqeq\n    length = 0\n  }\n  return Buffer.alloc(+length)\n}\n\nBuffer.isBuffer = function isBuffer (b) {\n  return !!(b != null && b._isBuffer)\n}\n\nBuffer.compare = function compare (a, b) {\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('Arguments must be Buffers')\n  }\n\n  if (a === b) return 0\n\n  var x = a.length\n  var y = b.length\n\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i]\n      y = b[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\nBuffer.isEncoding = function isEncoding (encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true\n    default:\n      return false\n  }\n}\n\nBuffer.concat = function concat (list, length) {\n  if (!isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers')\n  }\n\n  if (list.length === 0) {\n    return Buffer.alloc(0)\n  }\n\n  var i\n  if (length === undefined) {\n    length = 0\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length\n    }\n  }\n\n  var buffer = Buffer.allocUnsafe(length)\n  var pos = 0\n  for (i = 0; i < list.length; ++i) {\n    var buf = list[i]\n    if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers')\n    }\n    buf.copy(buffer, pos)\n    pos += buf.length\n  }\n  return buffer\n}\n\nfunction byteLength (string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length\n  }\n  if (typeof ArrayBuffer !== 'undefined' && typeof ArrayBuffer.isView === 'function' &&\n      (ArrayBuffer.isView(string) || string instanceof ArrayBuffer)) {\n    return string.byteLength\n  }\n  if (typeof string !== 'string') {\n    string = '' + string\n  }\n\n  var len = string.length\n  if (len === 0) return 0\n\n  // Use a for loop to avoid recursion\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len\n      case 'utf8':\n      case 'utf-8':\n      case undefined:\n        return utf8ToBytes(string).length\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2\n      case 'hex':\n        return len >>> 1\n      case 'base64':\n        return base64ToBytes(string).length\n      default:\n        if (loweredCase) return utf8ToBytes(string).length // assume utf8\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\nBuffer.byteLength = byteLength\n\nfunction slowToString (encoding, start, end) {\n  var loweredCase = false\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return ''\n  }\n\n  if (end === undefined || end > this.length) {\n    end = this.length\n  }\n\n  if (end <= 0) {\n    return ''\n  }\n\n  // Force coersion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0\n  start >>>= 0\n\n  if (end <= start) {\n    return ''\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end)\n\n      case 'ascii':\n        return asciiSlice(this, start, end)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end)\n\n      case 'base64':\n        return base64Slice(this, start, end)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = (encoding + '').toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\n// The property is used by `Buffer.isBuffer` and `is-buffer` (in Safari 5-7) to detect\n// Buffer instances.\nBuffer.prototype._isBuffer = true\n\nfunction swap (b, n, m) {\n  var i = b[n]\n  b[n] = b[m]\n  b[m] = i\n}\n\nBuffer.prototype.swap16 = function swap16 () {\n  var len = this.length\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits')\n  }\n  for (var i = 0; i < len; i += 2) {\n    swap(this, i, i + 1)\n  }\n  return this\n}\n\nBuffer.prototype.swap32 = function swap32 () {\n  var len = this.length\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits')\n  }\n  for (var i = 0; i < len; i += 4) {\n    swap(this, i, i + 3)\n    swap(this, i + 1, i + 2)\n  }\n  return this\n}\n\nBuffer.prototype.swap64 = function swap64 () {\n  var len = this.length\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits')\n  }\n  for (var i = 0; i < len; i += 8) {\n    swap(this, i, i + 7)\n    swap(this, i + 1, i + 6)\n    swap(this, i + 2, i + 5)\n    swap(this, i + 3, i + 4)\n  }\n  return this\n}\n\nBuffer.prototype.toString = function toString () {\n  var length = this.length | 0\n  if (length === 0) return ''\n  if (arguments.length === 0) return utf8Slice(this, 0, length)\n  return slowToString.apply(this, arguments)\n}\n\nBuffer.prototype.equals = function equals (b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer')\n  if (this === b) return true\n  return Buffer.compare(this, b) === 0\n}\n\nBuffer.prototype.inspect = function inspect () {\n  var str = ''\n  var max = exports.INSPECT_MAX_BYTES\n  if (this.length > 0) {\n    str = this.toString('hex', 0, max).match(/.{2}/g).join(' ')\n    if (this.length > max) str += ' ... '\n  }\n  return '<Buffer ' + str + '>'\n}\n\nBuffer.prototype.compare = function compare (target, start, end, thisStart, thisEnd) {\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('Argument must be a Buffer')\n  }\n\n  if (start === undefined) {\n    start = 0\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0\n  }\n  if (thisStart === undefined) {\n    thisStart = 0\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length\n  }\n\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index')\n  }\n\n  if (thisStart >= thisEnd && start >= end) {\n    return 0\n  }\n  if (thisStart >= thisEnd) {\n    return -1\n  }\n  if (start >= end) {\n    return 1\n  }\n\n  start >>>= 0\n  end >>>= 0\n  thisStart >>>= 0\n  thisEnd >>>= 0\n\n  if (this === target) return 0\n\n  var x = thisEnd - thisStart\n  var y = end - start\n  var len = Math.min(x, y)\n\n  var thisCopy = this.slice(thisStart, thisEnd)\n  var targetCopy = target.slice(start, end)\n\n  for (var i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i]\n      y = targetCopy[i]\n      break\n    }\n  }\n\n  if (x < y) return -1\n  if (y < x) return 1\n  return 0\n}\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf (buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset\n    byteOffset = 0\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000\n  }\n  byteOffset = +byteOffset  // Coerce to Number.\n  if (isNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : (buffer.length - 1)\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1\n    else byteOffset = buffer.length - 1\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0\n    else return -1\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding)\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir)\n  } else if (typeof val === 'number') {\n    val = val & 0xFF // Search for a byte value [0-255]\n    if (Buffer.TYPED_ARRAY_SUPPORT &&\n        typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset)\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset)\n      }\n    }\n    return arrayIndexOf(buffer, [ val ], byteOffset, encoding, dir)\n  }\n\n  throw new TypeError('val must be string, number or Buffer')\n}\n\nfunction arrayIndexOf (arr, val, byteOffset, encoding, dir) {\n  var indexSize = 1\n  var arrLength = arr.length\n  var valLength = val.length\n\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase()\n    if (encoding === 'ucs2' || encoding === 'ucs-2' ||\n        encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1\n      }\n      indexSize = 2\n      arrLength /= 2\n      valLength /= 2\n      byteOffset /= 2\n    }\n  }\n\n  function read (buf, i) {\n    if (indexSize === 1) {\n      return buf[i]\n    } else {\n      return buf.readUInt16BE(i * indexSize)\n    }\n  }\n\n  var i\n  if (dir) {\n    var foundIndex = -1\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex\n        foundIndex = -1\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength\n    for (i = byteOffset; i >= 0; i--) {\n      var found = true\n      for (var j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false\n          break\n        }\n      }\n      if (found) return i\n    }\n  }\n\n  return -1\n}\n\nBuffer.prototype.includes = function includes (val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1\n}\n\nBuffer.prototype.indexOf = function indexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true)\n}\n\nBuffer.prototype.lastIndexOf = function lastIndexOf (val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false)\n}\n\nfunction hexWrite (buf, string, offset, length) {\n  offset = Number(offset) || 0\n  var remaining = buf.length - offset\n  if (!length) {\n    length = remaining\n  } else {\n    length = Number(length)\n    if (length > remaining) {\n      length = remaining\n    }\n  }\n\n  // must be an even number of digits\n  var strLen = string.length\n  if (strLen % 2 !== 0) throw new TypeError('Invalid hex string')\n\n  if (length > strLen / 2) {\n    length = strLen / 2\n  }\n  for (var i = 0; i < length; ++i) {\n    var parsed = parseInt(string.substr(i * 2, 2), 16)\n    if (isNaN(parsed)) return i\n    buf[offset + i] = parsed\n  }\n  return i\n}\n\nfunction utf8Write (buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nfunction asciiWrite (buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length)\n}\n\nfunction latin1Write (buf, string, offset, length) {\n  return asciiWrite(buf, string, offset, length)\n}\n\nfunction base64Write (buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length)\n}\n\nfunction ucs2Write (buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length)\n}\n\nBuffer.prototype.write = function write (string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8'\n    length = this.length\n    offset = 0\n  // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset\n    length = this.length\n    offset = 0\n  // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset | 0\n    if (isFinite(length)) {\n      length = length | 0\n      if (encoding === undefined) encoding = 'utf8'\n    } else {\n      encoding = length\n      length = undefined\n    }\n  // legacy write(string, encoding, offset, length) - remove in v0.13\n  } else {\n    throw new Error(\n      'Buffer.write(string, encoding, offset[, length]) is no longer supported'\n    )\n  }\n\n  var remaining = this.length - offset\n  if (length === undefined || length > remaining) length = remaining\n\n  if ((string.length > 0 && (length < 0 || offset < 0)) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds')\n  }\n\n  if (!encoding) encoding = 'utf8'\n\n  var loweredCase = false\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length)\n\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length)\n\n      case 'ascii':\n        return asciiWrite(this, string, offset, length)\n\n      case 'latin1':\n      case 'binary':\n        return latin1Write(this, string, offset, length)\n\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length)\n\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length)\n\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding)\n        encoding = ('' + encoding).toLowerCase()\n        loweredCase = true\n    }\n  }\n}\n\nBuffer.prototype.toJSON = function toJSON () {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  }\n}\n\nfunction base64Slice (buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf)\n  } else {\n    return base64.fromByteArray(buf.slice(start, end))\n  }\n}\n\nfunction utf8Slice (buf, start, end) {\n  end = Math.min(buf.length, end)\n  var res = []\n\n  var i = start\n  while (i < end) {\n    var firstByte = buf[i]\n    var codePoint = null\n    var bytesPerSequence = (firstByte > 0xEF) ? 4\n      : (firstByte > 0xDF) ? 3\n      : (firstByte > 0xBF) ? 2\n      : 1\n\n    if (i + bytesPerSequence <= end) {\n      var secondByte, thirdByte, fourthByte, tempCodePoint\n\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte\n          }\n          break\n        case 2:\n          secondByte = buf[i + 1]\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | (secondByte & 0x3F)\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 3:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | (thirdByte & 0x3F)\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint\n            }\n          }\n          break\n        case 4:\n          secondByte = buf[i + 1]\n          thirdByte = buf[i + 2]\n          fourthByte = buf[i + 3]\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | (fourthByte & 0x3F)\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint\n            }\n          }\n      }\n    }\n\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD\n      bytesPerSequence = 1\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800)\n      codePoint = 0xDC00 | codePoint & 0x3FF\n    }\n\n    res.push(codePoint)\n    i += bytesPerSequence\n  }\n\n  return decodeCodePointsArray(res)\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nvar MAX_ARGUMENTS_LENGTH = 0x1000\n\nfunction decodeCodePointsArray (codePoints) {\n  var len = codePoints.length\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints) // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  var res = ''\n  var i = 0\n  while (i < len) {\n    res += String.fromCharCode.apply(\n      String,\n      codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH)\n    )\n  }\n  return res\n}\n\nfunction asciiSlice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F)\n  }\n  return ret\n}\n\nfunction latin1Slice (buf, start, end) {\n  var ret = ''\n  end = Math.min(buf.length, end)\n\n  for (var i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i])\n  }\n  return ret\n}\n\nfunction hexSlice (buf, start, end) {\n  var len = buf.length\n\n  if (!start || start < 0) start = 0\n  if (!end || end < 0 || end > len) end = len\n\n  var out = ''\n  for (var i = start; i < end; ++i) {\n    out += toHex(buf[i])\n  }\n  return out\n}\n\nfunction utf16leSlice (buf, start, end) {\n  var bytes = buf.slice(start, end)\n  var res = ''\n  for (var i = 0; i < bytes.length; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256)\n  }\n  return res\n}\n\nBuffer.prototype.slice = function slice (start, end) {\n  var len = this.length\n  start = ~~start\n  end = end === undefined ? len : ~~end\n\n  if (start < 0) {\n    start += len\n    if (start < 0) start = 0\n  } else if (start > len) {\n    start = len\n  }\n\n  if (end < 0) {\n    end += len\n    if (end < 0) end = 0\n  } else if (end > len) {\n    end = len\n  }\n\n  if (end < start) end = start\n\n  var newBuf\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    newBuf = this.subarray(start, end)\n    newBuf.__proto__ = Buffer.prototype\n  } else {\n    var sliceLen = end - start\n    newBuf = new Buffer(sliceLen, undefined)\n    for (var i = 0; i < sliceLen; ++i) {\n      newBuf[i] = this[i + start]\n    }\n  }\n\n  return newBuf\n}\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset (offset, ext, length) {\n  if ((offset % 1) !== 0 || offset < 0) throw new RangeError('offset is not uint')\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length')\n}\n\nBuffer.prototype.readUIntLE = function readUIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUIntBE = function readUIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length)\n  }\n\n  var val = this[offset + --byteLength]\n  var mul = 1\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul\n  }\n\n  return val\n}\n\nBuffer.prototype.readUInt8 = function readUInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  return this[offset]\n}\n\nBuffer.prototype.readUInt16LE = function readUInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return this[offset] | (this[offset + 1] << 8)\n}\n\nBuffer.prototype.readUInt16BE = function readUInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  return (this[offset] << 8) | this[offset + 1]\n}\n\nBuffer.prototype.readUInt32LE = function readUInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return ((this[offset]) |\n      (this[offset + 1] << 8) |\n      (this[offset + 2] << 16)) +\n      (this[offset + 3] * 0x1000000)\n}\n\nBuffer.prototype.readUInt32BE = function readUInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] * 0x1000000) +\n    ((this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    this[offset + 3])\n}\n\nBuffer.prototype.readIntLE = function readIntLE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var val = this[offset]\n  var mul = 1\n  var i = 0\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readIntBE = function readIntBE (offset, byteLength, noAssert) {\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) checkOffset(offset, byteLength, this.length)\n\n  var i = byteLength\n  var mul = 1\n  var val = this[offset + --i]\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul\n  }\n  mul *= 0x80\n\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength)\n\n  return val\n}\n\nBuffer.prototype.readInt8 = function readInt8 (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 1, this.length)\n  if (!(this[offset] & 0x80)) return (this[offset])\n  return ((0xff - this[offset] + 1) * -1)\n}\n\nBuffer.prototype.readInt16LE = function readInt16LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset] | (this[offset + 1] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt16BE = function readInt16BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 2, this.length)\n  var val = this[offset + 1] | (this[offset] << 8)\n  return (val & 0x8000) ? val | 0xFFFF0000 : val\n}\n\nBuffer.prototype.readInt32LE = function readInt32LE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset]) |\n    (this[offset + 1] << 8) |\n    (this[offset + 2] << 16) |\n    (this[offset + 3] << 24)\n}\n\nBuffer.prototype.readInt32BE = function readInt32BE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n\n  return (this[offset] << 24) |\n    (this[offset + 1] << 16) |\n    (this[offset + 2] << 8) |\n    (this[offset + 3])\n}\n\nBuffer.prototype.readFloatLE = function readFloatLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, true, 23, 4)\n}\n\nBuffer.prototype.readFloatBE = function readFloatBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 4, this.length)\n  return ieee754.read(this, offset, false, 23, 4)\n}\n\nBuffer.prototype.readDoubleLE = function readDoubleLE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, true, 52, 8)\n}\n\nBuffer.prototype.readDoubleBE = function readDoubleBE (offset, noAssert) {\n  if (!noAssert) checkOffset(offset, 8, this.length)\n  return ieee754.read(this, offset, false, 52, 8)\n}\n\nfunction checkInt (buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance')\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds')\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n}\n\nBuffer.prototype.writeUIntLE = function writeUIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var mul = 1\n  var i = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUIntBE = function writeUIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  byteLength = byteLength | 0\n  if (!noAssert) {\n    var maxBytes = Math.pow(2, 8 * byteLength) - 1\n    checkInt(this, value, offset, byteLength, maxBytes, 0)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = (value / mul) & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeUInt8 = function writeUInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nfunction objectWriteUInt16 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 2); i < j; ++i) {\n    buf[offset + i] = (value & (0xff << (8 * (littleEndian ? i : 1 - i)))) >>>\n      (littleEndian ? i : 1 - i) * 8\n  }\n}\n\nBuffer.prototype.writeUInt16LE = function writeUInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeUInt16BE = function writeUInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nfunction objectWriteUInt32 (buf, value, offset, littleEndian) {\n  if (value < 0) value = 0xffffffff + value + 1\n  for (var i = 0, j = Math.min(buf.length - offset, 4); i < j; ++i) {\n    buf[offset + i] = (value >>> (littleEndian ? i : 3 - i) * 8) & 0xff\n  }\n}\n\nBuffer.prototype.writeUInt32LE = function writeUInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset + 3] = (value >>> 24)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 1] = (value >>> 8)\n    this[offset] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeUInt32BE = function writeUInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeIntLE = function writeIntLE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = 0\n  var mul = 1\n  var sub = 0\n  this[offset] = value & 0xFF\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeIntBE = function writeIntBE (value, offset, byteLength, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) {\n    var limit = Math.pow(2, 8 * byteLength - 1)\n\n    checkInt(this, value, offset, byteLength, limit - 1, -limit)\n  }\n\n  var i = byteLength - 1\n  var mul = 1\n  var sub = 0\n  this[offset + i] = value & 0xFF\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1\n    }\n    this[offset + i] = ((value / mul) >> 0) - sub & 0xFF\n  }\n\n  return offset + byteLength\n}\n\nBuffer.prototype.writeInt8 = function writeInt8 (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80)\n  if (!Buffer.TYPED_ARRAY_SUPPORT) value = Math.floor(value)\n  if (value < 0) value = 0xff + value + 1\n  this[offset] = (value & 0xff)\n  return offset + 1\n}\n\nBuffer.prototype.writeInt16LE = function writeInt16LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n  } else {\n    objectWriteUInt16(this, value, offset, true)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt16BE = function writeInt16BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 8)\n    this[offset + 1] = (value & 0xff)\n  } else {\n    objectWriteUInt16(this, value, offset, false)\n  }\n  return offset + 2\n}\n\nBuffer.prototype.writeInt32LE = function writeInt32LE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value & 0xff)\n    this[offset + 1] = (value >>> 8)\n    this[offset + 2] = (value >>> 16)\n    this[offset + 3] = (value >>> 24)\n  } else {\n    objectWriteUInt32(this, value, offset, true)\n  }\n  return offset + 4\n}\n\nBuffer.prototype.writeInt32BE = function writeInt32BE (value, offset, noAssert) {\n  value = +value\n  offset = offset | 0\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000)\n  if (value < 0) value = 0xffffffff + value + 1\n  if (Buffer.TYPED_ARRAY_SUPPORT) {\n    this[offset] = (value >>> 24)\n    this[offset + 1] = (value >>> 16)\n    this[offset + 2] = (value >>> 8)\n    this[offset + 3] = (value & 0xff)\n  } else {\n    objectWriteUInt32(this, value, offset, false)\n  }\n  return offset + 4\n}\n\nfunction checkIEEE754 (buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range')\n  if (offset < 0) throw new RangeError('Index out of range')\n}\n\nfunction writeFloat (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4)\n  return offset + 4\n}\n\nBuffer.prototype.writeFloatLE = function writeFloatLE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeFloatBE = function writeFloatBE (value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert)\n}\n\nfunction writeDouble (buf, value, offset, littleEndian, noAssert) {\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308)\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8)\n  return offset + 8\n}\n\nBuffer.prototype.writeDoubleLE = function writeDoubleLE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert)\n}\n\nBuffer.prototype.writeDoubleBE = function writeDoubleBE (value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert)\n}\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy (target, targetStart, start, end) {\n  if (!start) start = 0\n  if (!end && end !== 0) end = this.length\n  if (targetStart >= target.length) targetStart = target.length\n  if (!targetStart) targetStart = 0\n  if (end > 0 && end < start) end = start\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0\n  if (target.length === 0 || this.length === 0) return 0\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds')\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('sourceStart out of bounds')\n  if (end < 0) throw new RangeError('sourceEnd out of bounds')\n\n  // Are we oob?\n  if (end > this.length) end = this.length\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start\n  }\n\n  var len = end - start\n  var i\n\n  if (this === target && start < targetStart && targetStart < end) {\n    // descending copy from end\n    for (i = len - 1; i >= 0; --i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else if (len < 1000 || !Buffer.TYPED_ARRAY_SUPPORT) {\n    // ascending copy from start\n    for (i = 0; i < len; ++i) {\n      target[i + targetStart] = this[i + start]\n    }\n  } else {\n    Uint8Array.prototype.set.call(\n      target,\n      this.subarray(start, start + len),\n      targetStart\n    )\n  }\n\n  return len\n}\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill (val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start\n      start = 0\n      end = this.length\n    } else if (typeof end === 'string') {\n      encoding = end\n      end = this.length\n    }\n    if (val.length === 1) {\n      var code = val.charCodeAt(0)\n      if (code < 256) {\n        val = code\n      }\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string')\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding)\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index')\n  }\n\n  if (end <= start) {\n    return this\n  }\n\n  start = start >>> 0\n  end = end === undefined ? this.length : end >>> 0\n\n  if (!val) val = 0\n\n  var i\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val\n    }\n  } else {\n    var bytes = Buffer.isBuffer(val)\n      ? val\n      : utf8ToBytes(new Buffer(val, encoding).toString())\n    var len = bytes.length\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len]\n    }\n  }\n\n  return this\n}\n\n// HELPER FUNCTIONS\n// ================\n\nvar INVALID_BASE64_RE = /[^+\\/0-9A-Za-z-_]/g\n\nfunction base64clean (str) {\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = stringtrim(str).replace(INVALID_BASE64_RE, '')\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return ''\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '='\n  }\n  return str\n}\n\nfunction stringtrim (str) {\n  if (str.trim) return str.trim()\n  return str.replace(/^\\s+|\\s+$/g, '')\n}\n\nfunction toHex (n) {\n  if (n < 16) return '0' + n.toString(16)\n  return n.toString(16)\n}\n\nfunction utf8ToBytes (string, units) {\n  units = units || Infinity\n  var codePoint\n  var length = string.length\n  var leadSurrogate = null\n  var bytes = []\n\n  for (var i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i)\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n          continue\n        }\n\n        // valid lead\n        leadSurrogate = codePoint\n\n        continue\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n        leadSurrogate = codePoint\n        continue\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD)\n    }\n\n    leadSurrogate = null\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break\n      bytes.push(codePoint)\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break\n      bytes.push(\n        codePoint >> 0x6 | 0xC0,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break\n      bytes.push(\n        codePoint >> 0xC | 0xE0,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break\n      bytes.push(\n        codePoint >> 0x12 | 0xF0,\n        codePoint >> 0xC & 0x3F | 0x80,\n        codePoint >> 0x6 & 0x3F | 0x80,\n        codePoint & 0x3F | 0x80\n      )\n    } else {\n      throw new Error('Invalid code point')\n    }\n  }\n\n  return bytes\n}\n\nfunction asciiToBytes (str) {\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF)\n  }\n  return byteArray\n}\n\nfunction utf16leToBytes (str, units) {\n  var c, hi, lo\n  var byteArray = []\n  for (var i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break\n\n    c = str.charCodeAt(i)\n    hi = c >> 8\n    lo = c % 256\n    byteArray.push(lo)\n    byteArray.push(hi)\n  }\n\n  return byteArray\n}\n\nfunction base64ToBytes (str) {\n  return base64.toByteArray(base64clean(str))\n}\n\nfunction blitBuffer (src, dst, offset, length) {\n  for (var i = 0; i < length; ++i) {\n    if ((i + offset >= dst.length) || (i >= src.length)) break\n    dst[i + offset] = src[i]\n  }\n  return i\n}\n\nfunction isnan (val) {\n  return val !== val // eslint-disable-line no-self-compare\n}\n","/* eslint-disable node/no-deprecated-api */\nvar buffer = require('buffer')\nvar Buffer = buffer.Buffer\n\n// alternative to using Object.keys for old browsers\nfunction copyProps (src, dst) {\n  for (var key in src) {\n    dst[key] = src[key]\n  }\n}\nif (Buffer.from && Buffer.alloc && Buffer.allocUnsafe && Buffer.allocUnsafeSlow) {\n  module.exports = buffer\n} else {\n  // Copy properties from require('buffer')\n  copyProps(buffer, exports)\n  exports.Buffer = SafeBuffer\n}\n\nfunction SafeBuffer (arg, encodingOrOffset, length) {\n  return Buffer(arg, encodingOrOffset, length)\n}\n\n// Copy static methods from Buffer\ncopyProps(Buffer, SafeBuffer)\n\nSafeBuffer.from = function (arg, encodingOrOffset, length) {\n  if (typeof arg === 'number') {\n    throw new TypeError('Argument must not be a number')\n  }\n  return Buffer(arg, encodingOrOffset, length)\n}\n\nSafeBuffer.alloc = function (size, fill, encoding) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  var buf = Buffer(size)\n  if (fill !== undefined) {\n    if (typeof encoding === 'string') {\n      buf.fill(fill, encoding)\n    } else {\n      buf.fill(fill)\n    }\n  } else {\n    buf.fill(0)\n  }\n  return buf\n}\n\nSafeBuffer.allocUnsafe = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return Buffer(size)\n}\n\nSafeBuffer.allocUnsafeSlow = function (size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('Argument must be a number')\n  }\n  return buffer.SlowBuffer(size)\n}\n","// shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\n\nfunction defaultSetTimout() {\n    throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout () {\n    throw new Error('clearTimeout has not been defined');\n}\n(function () {\n    try {\n        if (typeof setTimeout === 'function') {\n            cachedSetTimeout = setTimeout;\n        } else {\n            cachedSetTimeout = defaultSetTimout;\n        }\n    } catch (e) {\n        cachedSetTimeout = defaultSetTimout;\n    }\n    try {\n        if (typeof clearTimeout === 'function') {\n            cachedClearTimeout = clearTimeout;\n        } else {\n            cachedClearTimeout = defaultClearTimeout;\n        }\n    } catch (e) {\n        cachedClearTimeout = defaultClearTimeout;\n    }\n} ())\nfunction runTimeout(fun) {\n    if (cachedSetTimeout === setTimeout) {\n        //normal enviroments in sane situations\n        return setTimeout(fun, 0);\n    }\n    // if setTimeout wasn't available but was latter defined\n    if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n        cachedSetTimeout = setTimeout;\n        return setTimeout(fun, 0);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedSetTimeout(fun, 0);\n    } catch(e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n            return cachedSetTimeout.call(null, fun, 0);\n        } catch(e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n            return cachedSetTimeout.call(this, fun, 0);\n        }\n    }\n\n\n}\nfunction runClearTimeout(marker) {\n    if (cachedClearTimeout === clearTimeout) {\n        //normal enviroments in sane situations\n        return clearTimeout(marker);\n    }\n    // if clearTimeout wasn't available but was latter defined\n    if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n        cachedClearTimeout = clearTimeout;\n        return clearTimeout(marker);\n    }\n    try {\n        // when when somebody has screwed with setTimeout but no I.E. maddness\n        return cachedClearTimeout(marker);\n    } catch (e){\n        try {\n            // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n            return cachedClearTimeout.call(null, marker);\n        } catch (e){\n            // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n            // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n            return cachedClearTimeout.call(this, marker);\n        }\n    }\n\n\n\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\n\nfunction cleanUpNextTick() {\n    if (!draining || !currentQueue) {\n        return;\n    }\n    draining = false;\n    if (currentQueue.length) {\n        queue = currentQueue.concat(queue);\n    } else {\n        queueIndex = -1;\n    }\n    if (queue.length) {\n        drainQueue();\n    }\n}\n\nfunction drainQueue() {\n    if (draining) {\n        return;\n    }\n    var timeout = runTimeout(cleanUpNextTick);\n    draining = true;\n\n    var len = queue.length;\n    while(len) {\n        currentQueue = queue;\n        queue = [];\n        while (++queueIndex < len) {\n            if (currentQueue) {\n                currentQueue[queueIndex].run();\n            }\n        }\n        queueIndex = -1;\n        len = queue.length;\n    }\n    currentQueue = null;\n    draining = false;\n    runClearTimeout(timeout);\n}\n\nprocess.nextTick = function (fun) {\n    var args = new Array(arguments.length - 1);\n    if (arguments.length > 1) {\n        for (var i = 1; i < arguments.length; i++) {\n            args[i - 1] = arguments[i];\n        }\n    }\n    queue.push(new Item(fun, args));\n    if (queue.length === 1 && !draining) {\n        runTimeout(drainQueue);\n    }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n    this.fun = fun;\n    this.array = array;\n}\nItem.prototype.run = function () {\n    this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\n\nfunction noop() {}\n\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\n\nprocess.listeners = function (name) { return [] }\n\nprocess.binding = function (name) {\n    throw new Error('process.binding is not supported');\n};\n\nprocess.cwd = function () { return '/' };\nprocess.chdir = function (dir) {\n    throw new Error('process.chdir is not supported');\n};\nprocess.umask = function() { return 0; };\n","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('Secure random number generation is not supported by this browser.\\nUse Chrome, Firefox or Internet Explorer 11')\n}\n\nvar Buffer = require('safe-buffer').Buffer\nvar crypto = global.crypto || global.msCrypto\n\nif (crypto && crypto.getRandomValues) {\n  module.exports = randomBytes\n} else {\n  module.exports = oldBrowser\n}\n\nfunction randomBytes (size, cb) {\n  // phantomjs needs to throw\n  if (size > 65536) throw new Error('requested too many random bytes')\n  // in case browserify  isn't using the Uint8Array version\n  var rawBytes = new global.Uint8Array(size)\n\n  // This will not work in older browsers.\n  // See https://developer.mozilla.org/en-US/docs/Web/API/window.crypto.getRandomValues\n  if (size > 0) {  // getRandomValues fails on IE if size == 0\n    crypto.getRandomValues(rawBytes)\n  }\n\n  // XXX: phantomjs doesn't like a buffer being passed here\n  var bytes = Buffer.from(rawBytes.buffer)\n\n  if (typeof cb === 'function') {\n    return process.nextTick(function () {\n      cb(null, bytes)\n    })\n  }\n\n  return bytes\n}\n","if (typeof Object.create === 'function') {\n  // implementation from standard node.js 'util' module\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    ctor.prototype = Object.create(superCtor.prototype, {\n      constructor: {\n        value: ctor,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n  };\n} else {\n  // old school shim for old browsers\n  module.exports = function inherits(ctor, superCtor) {\n    ctor.super_ = superCtor\n    var TempCtor = function () {}\n    TempCtor.prototype = superCtor.prototype\n    ctor.prototype = new TempCtor()\n    ctor.prototype.constructor = ctor\n  }\n}\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nfunction EventEmitter() {\n  this._events = this._events || {};\n  this._maxListeners = this._maxListeners || undefined;\n}\nmodule.exports = EventEmitter;\n\n// Backwards-compat with node 0.10.x\nEventEmitter.EventEmitter = EventEmitter;\n\nEventEmitter.prototype._events = undefined;\nEventEmitter.prototype._maxListeners = undefined;\n\n// By default EventEmitters will print a warning if more than 10 listeners are\n// added to it. This is a useful default which helps finding memory leaks.\nEventEmitter.defaultMaxListeners = 10;\n\n// Obviously not all Emitters should be limited to 10. This function allows\n// that to be increased. Set to zero for unlimited.\nEventEmitter.prototype.setMaxListeners = function(n) {\n  if (!isNumber(n) || n < 0 || isNaN(n))\n    throw TypeError('n must be a positive number');\n  this._maxListeners = n;\n  return this;\n};\n\nEventEmitter.prototype.emit = function(type) {\n  var er, handler, len, args, i, listeners;\n\n  if (!this._events)\n    this._events = {};\n\n  // If there is no 'error' event listener then throw.\n  if (type === 'error') {\n    if (!this._events.error ||\n        (isObject(this._events.error) && !this._events.error.length)) {\n      er = arguments[1];\n      if (er instanceof Error) {\n        throw er; // Unhandled 'error' event\n      } else {\n        // At least give some kind of context to the user\n        var err = new Error('Uncaught, unspecified \"error\" event. (' + er + ')');\n        err.context = er;\n        throw err;\n      }\n    }\n  }\n\n  handler = this._events[type];\n\n  if (isUndefined(handler))\n    return false;\n\n  if (isFunction(handler)) {\n    switch (arguments.length) {\n      // fast cases\n      case 1:\n        handler.call(this);\n        break;\n      case 2:\n        handler.call(this, arguments[1]);\n        break;\n      case 3:\n        handler.call(this, arguments[1], arguments[2]);\n        break;\n      // slower\n      default:\n        args = Array.prototype.slice.call(arguments, 1);\n        handler.apply(this, args);\n    }\n  } else if (isObject(handler)) {\n    args = Array.prototype.slice.call(arguments, 1);\n    listeners = handler.slice();\n    len = listeners.length;\n    for (i = 0; i < len; i++)\n      listeners[i].apply(this, args);\n  }\n\n  return true;\n};\n\nEventEmitter.prototype.addListener = function(type, listener) {\n  var m;\n\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  if (!this._events)\n    this._events = {};\n\n  // To avoid recursion in the case that type === \"newListener\"! Before\n  // adding it to the listeners, first emit \"newListener\".\n  if (this._events.newListener)\n    this.emit('newListener', type,\n              isFunction(listener.listener) ?\n              listener.listener : listener);\n\n  if (!this._events[type])\n    // Optimize the case of one listener. Don't need the extra array object.\n    this._events[type] = listener;\n  else if (isObject(this._events[type]))\n    // If we've already got an array, just append.\n    this._events[type].push(listener);\n  else\n    // Adding the second element, need to change to array.\n    this._events[type] = [this._events[type], listener];\n\n  // Check for listener leak\n  if (isObject(this._events[type]) && !this._events[type].warned) {\n    if (!isUndefined(this._maxListeners)) {\n      m = this._maxListeners;\n    } else {\n      m = EventEmitter.defaultMaxListeners;\n    }\n\n    if (m && m > 0 && this._events[type].length > m) {\n      this._events[type].warned = true;\n      console.error('(node) warning: possible EventEmitter memory ' +\n                    'leak detected. %d listeners added. ' +\n                    'Use emitter.setMaxListeners() to increase limit.',\n                    this._events[type].length);\n      if (typeof console.trace === 'function') {\n        // not supported in IE 10\n        console.trace();\n      }\n    }\n  }\n\n  return this;\n};\n\nEventEmitter.prototype.on = EventEmitter.prototype.addListener;\n\nEventEmitter.prototype.once = function(type, listener) {\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  var fired = false;\n\n  function g() {\n    this.removeListener(type, g);\n\n    if (!fired) {\n      fired = true;\n      listener.apply(this, arguments);\n    }\n  }\n\n  g.listener = listener;\n  this.on(type, g);\n\n  return this;\n};\n\n// emits a 'removeListener' event iff the listener was removed\nEventEmitter.prototype.removeListener = function(type, listener) {\n  var list, position, length, i;\n\n  if (!isFunction(listener))\n    throw TypeError('listener must be a function');\n\n  if (!this._events || !this._events[type])\n    return this;\n\n  list = this._events[type];\n  length = list.length;\n  position = -1;\n\n  if (list === listener ||\n      (isFunction(list.listener) && list.listener === listener)) {\n    delete this._events[type];\n    if (this._events.removeListener)\n      this.emit('removeListener', type, listener);\n\n  } else if (isObject(list)) {\n    for (i = length; i-- > 0;) {\n      if (list[i] === listener ||\n          (list[i].listener && list[i].listener === listener)) {\n        position = i;\n        break;\n      }\n    }\n\n    if (position < 0)\n      return this;\n\n    if (list.length === 1) {\n      list.length = 0;\n      delete this._events[type];\n    } else {\n      list.splice(position, 1);\n    }\n\n    if (this._events.removeListener)\n      this.emit('removeListener', type, listener);\n  }\n\n  return this;\n};\n\nEventEmitter.prototype.removeAllListeners = function(type) {\n  var key, listeners;\n\n  if (!this._events)\n    return this;\n\n  // not listening for removeListener, no need to emit\n  if (!this._events.removeListener) {\n    if (arguments.length === 0)\n      this._events = {};\n    else if (this._events[type])\n      delete this._events[type];\n    return this;\n  }\n\n  // emit removeListener for all listeners on all events\n  if (arguments.length === 0) {\n    for (key in this._events) {\n      if (key === 'removeListener') continue;\n      this.removeAllListeners(key);\n    }\n    this.removeAllListeners('removeListener');\n    this._events = {};\n    return this;\n  }\n\n  listeners = this._events[type];\n\n  if (isFunction(listeners)) {\n    this.removeListener(type, listeners);\n  } else if (listeners) {\n    // LIFO order\n    while (listeners.length)\n      this.removeListener(type, listeners[listeners.length - 1]);\n  }\n  delete this._events[type];\n\n  return this;\n};\n\nEventEmitter.prototype.listeners = function(type) {\n  var ret;\n  if (!this._events || !this._events[type])\n    ret = [];\n  else if (isFunction(this._events[type]))\n    ret = [this._events[type]];\n  else\n    ret = this._events[type].slice();\n  return ret;\n};\n\nEventEmitter.prototype.listenerCount = function(type) {\n  if (this._events) {\n    var evlistener = this._events[type];\n\n    if (isFunction(evlistener))\n      return 1;\n    else if (evlistener)\n      return evlistener.length;\n  }\n  return 0;\n};\n\nEventEmitter.listenerCount = function(emitter, type) {\n  return emitter.listenerCount(type);\n};\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\n","'use strict';\n\nif (!process.version ||\n    process.version.indexOf('v0.') === 0 ||\n    process.version.indexOf('v1.') === 0 && process.version.indexOf('v1.8.') !== 0) {\n  module.exports = { nextTick: nextTick };\n} else {\n  module.exports = process\n}\n\nfunction nextTick(fn, arg1, arg2, arg3) {\n  if (typeof fn !== 'function') {\n    throw new TypeError('\"callback\" argument must be a function');\n  }\n  var len = arguments.length;\n  var args, i;\n  switch (len) {\n  case 0:\n  case 1:\n    return process.nextTick(fn);\n  case 2:\n    return process.nextTick(function afterTickOne() {\n      fn.call(null, arg1);\n    });\n  case 3:\n    return process.nextTick(function afterTickTwo() {\n      fn.call(null, arg1, arg2);\n    });\n  case 4:\n    return process.nextTick(function afterTickThree() {\n      fn.call(null, arg1, arg2, arg3);\n    });\n  default:\n    args = new Array(len - 1);\n    i = 0;\n    while (i < args.length) {\n      args[i++] = arguments[i];\n    }\n    return process.nextTick(function afterTick() {\n      fn.apply(null, args);\n    });\n  }\n}\n\n","module.exports = require('events').EventEmitter;\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\n\nfunction isArray(arg) {\n  if (Array.isArray) {\n    return Array.isArray(arg);\n  }\n  return objectToString(arg) === '[object Array]';\n}\nexports.isArray = isArray;\n\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\n\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\n\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\n\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\n\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\n\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\n\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\n\nfunction isRegExp(re) {\n  return objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\n\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\n\nfunction isDate(d) {\n  return objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\n\nfunction isError(e) {\n  return (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\n\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\n\nfunction isPrimitive(arg) {\n  return arg === null ||\n         typeof arg === 'boolean' ||\n         typeof arg === 'number' ||\n         typeof arg === 'string' ||\n         typeof arg === 'symbol' ||  // ES6 symbol\n         typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\n\nexports.isBuffer = Buffer.isBuffer;\n\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\n","'use strict';\n\nfunction _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError(\"Cannot call a class as a function\"); } }\n\nvar Buffer = require('safe-buffer').Buffer;\nvar util = require('util');\n\nfunction copyBuffer(src, target, offset) {\n  src.copy(target, offset);\n}\n\nmodule.exports = function () {\n  function BufferList() {\n    _classCallCheck(this, BufferList);\n\n    this.head = null;\n    this.tail = null;\n    this.length = 0;\n  }\n\n  BufferList.prototype.push = function push(v) {\n    var entry = { data: v, next: null };\n    if (this.length > 0) this.tail.next = entry;else this.head = entry;\n    this.tail = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.unshift = function unshift(v) {\n    var entry = { data: v, next: this.head };\n    if (this.length === 0) this.tail = entry;\n    this.head = entry;\n    ++this.length;\n  };\n\n  BufferList.prototype.shift = function shift() {\n    if (this.length === 0) return;\n    var ret = this.head.data;\n    if (this.length === 1) this.head = this.tail = null;else this.head = this.head.next;\n    --this.length;\n    return ret;\n  };\n\n  BufferList.prototype.clear = function clear() {\n    this.head = this.tail = null;\n    this.length = 0;\n  };\n\n  BufferList.prototype.join = function join(s) {\n    if (this.length === 0) return '';\n    var p = this.head;\n    var ret = '' + p.data;\n    while (p = p.next) {\n      ret += s + p.data;\n    }return ret;\n  };\n\n  BufferList.prototype.concat = function concat(n) {\n    if (this.length === 0) return Buffer.alloc(0);\n    if (this.length === 1) return this.head.data;\n    var ret = Buffer.allocUnsafe(n >>> 0);\n    var p = this.head;\n    var i = 0;\n    while (p) {\n      copyBuffer(p.data, ret, i);\n      i += p.data.length;\n      p = p.next;\n    }\n    return ret;\n  };\n\n  return BufferList;\n}();\n\nif (util && util.inspect && util.inspect.custom) {\n  module.exports.prototype[util.inspect.custom] = function () {\n    var obj = util.inspect({ length: this.length });\n    return this.constructor.name + ' ' + obj;\n  };\n}","'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n// undocumented cb() API, needed for core, not for public API\nfunction destroy(err, cb) {\n  var _this = this;\n\n  var readableDestroyed = this._readableState && this._readableState.destroyed;\n  var writableDestroyed = this._writableState && this._writableState.destroyed;\n\n  if (readableDestroyed || writableDestroyed) {\n    if (cb) {\n      cb(err);\n    } else if (err && (!this._writableState || !this._writableState.errorEmitted)) {\n      pna.nextTick(emitErrorNT, this, err);\n    }\n    return this;\n  }\n\n  // we set destroyed to true before firing error callbacks in order\n  // to make it re-entrance safe in case destroy() is called within callbacks\n\n  if (this._readableState) {\n    this._readableState.destroyed = true;\n  }\n\n  // if this is a duplex stream mark the writable part as destroyed as well\n  if (this._writableState) {\n    this._writableState.destroyed = true;\n  }\n\n  this._destroy(err || null, function (err) {\n    if (!cb && err) {\n      pna.nextTick(emitErrorNT, _this, err);\n      if (_this._writableState) {\n        _this._writableState.errorEmitted = true;\n      }\n    } else if (cb) {\n      cb(err);\n    }\n  });\n\n  return this;\n}\n\nfunction undestroy() {\n  if (this._readableState) {\n    this._readableState.destroyed = false;\n    this._readableState.reading = false;\n    this._readableState.ended = false;\n    this._readableState.endEmitted = false;\n  }\n\n  if (this._writableState) {\n    this._writableState.destroyed = false;\n    this._writableState.ended = false;\n    this._writableState.ending = false;\n    this._writableState.finished = false;\n    this._writableState.errorEmitted = false;\n  }\n}\n\nfunction emitErrorNT(self, err) {\n  self.emit('error', err);\n}\n\nmodule.exports = {\n  destroy: destroy,\n  undestroy: undestroy\n};","\n/**\n * Module exports.\n */\n\nmodule.exports = deprecate;\n\n/**\n * Mark that a method should not be used.\n * Returns a modified function which warns once by default.\n *\n * If `localStorage.noDeprecation = true` is set, then it is a no-op.\n *\n * If `localStorage.throwDeprecation = true` is set, then deprecated functions\n * will throw an Error when invoked.\n *\n * If `localStorage.traceDeprecation = true` is set, then deprecated functions\n * will invoke `console.trace()` instead of `console.error()`.\n *\n * @param {Function} fn - the function to deprecate\n * @param {String} msg - the string to print to the console when `fn` is invoked\n * @returns {Function} a new \"deprecated\" version of `fn`\n * @api public\n */\n\nfunction deprecate (fn, msg) {\n  if (config('noDeprecation')) {\n    return fn;\n  }\n\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (config('throwDeprecation')) {\n        throw new Error(msg);\n      } else if (config('traceDeprecation')) {\n        console.trace(msg);\n      } else {\n        console.warn(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n\n  return deprecated;\n}\n\n/**\n * Checks `localStorage` for boolean values for the given `name`.\n *\n * @param {String} name\n * @returns {Boolean}\n * @api private\n */\n\nfunction config (name) {\n  // accessing global.localStorage can trigger a DOMException in sandboxed iframes\n  try {\n    if (!global.localStorage) return false;\n  } catch (_) {\n    return false;\n  }\n  var val = global.localStorage[name];\n  if (null == val) return false;\n  return String(val).toLowerCase() === 'true';\n}\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// A bit simpler than readable streams.\n// Implement an async ._write(chunk, encoding, cb), and it'll handle all\n// the drain event emission and buffering.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Writable;\n\n/* <replacement> */\nfunction WriteReq(chunk, encoding, cb) {\n  this.chunk = chunk;\n  this.encoding = encoding;\n  this.callback = cb;\n  this.next = null;\n}\n\n// It seems a linked list but it is not\n// there will be only 2 of these for each stream\nfunction CorkedRequest(state) {\n  var _this = this;\n\n  this.next = null;\n  this.entry = null;\n  this.finish = function () {\n    onCorkedFinish(_this, state);\n  };\n}\n/* </replacement> */\n\n/*<replacement>*/\nvar asyncWrite = !process.browser && ['v0.10', 'v0.9.'].indexOf(process.version.slice(0, 5)) > -1 ? setImmediate : pna.nextTick;\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nWritable.WritableState = WritableState;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar internalUtil = {\n  deprecate: require('util-deprecate')\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\nvar destroyImpl = require('./internal/streams/destroy');\n\nutil.inherits(Writable, Stream);\n\nfunction nop() {}\n\nfunction WritableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag to indicate whether or not this stream\n  // contains buffers or objects.\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.writableObjectMode;\n\n  // the point at which write() starts returning false\n  // Note: 0 is a valid value, means that we always return false if\n  // the entire buffer is not flushed immediately on write()\n  var hwm = options.highWaterMark;\n  var writableHwm = options.writableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (writableHwm || writableHwm === 0)) this.highWaterMark = writableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // if _final has been called\n  this.finalCalled = false;\n\n  // drain event flag.\n  this.needDrain = false;\n  // at the start of calling end()\n  this.ending = false;\n  // when end() has been called, and returned\n  this.ended = false;\n  // when 'finish' is emitted\n  this.finished = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // should we decode strings into buffers before passing to _write?\n  // this is here so that some node-core streams can optimize string\n  // handling at a lower level.\n  var noDecode = options.decodeStrings === false;\n  this.decodeStrings = !noDecode;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // not an actual buffer we keep track of, but a measurement\n  // of how much we're waiting to get pushed to some underlying\n  // socket or file.\n  this.length = 0;\n\n  // a flag to see when we're in the middle of a write.\n  this.writing = false;\n\n  // when true all writes will be buffered until .uncork() call\n  this.corked = 0;\n\n  // a flag to be able to tell if the onwrite cb is called immediately,\n  // or on a later tick.  We set this to true at first, because any\n  // actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first write call.\n  this.sync = true;\n\n  // a flag to know if we're processing previously buffered items, which\n  // may call the _write() callback in the same tick, so that we don't\n  // end up in an overlapped onwrite situation.\n  this.bufferProcessing = false;\n\n  // the callback that's passed to _write(chunk,cb)\n  this.onwrite = function (er) {\n    onwrite(stream, er);\n  };\n\n  // the callback that the user supplies to write(chunk,encoding,cb)\n  this.writecb = null;\n\n  // the amount that is being written when _write is called.\n  this.writelen = 0;\n\n  this.bufferedRequest = null;\n  this.lastBufferedRequest = null;\n\n  // number of pending user-supplied write callbacks\n  // this must be 0 before 'finish' can be emitted\n  this.pendingcb = 0;\n\n  // emit prefinish if the only thing we're waiting for is _write cbs\n  // This is relevant for synchronous Transform streams\n  this.prefinished = false;\n\n  // True if the error was already emitted and should not be thrown again\n  this.errorEmitted = false;\n\n  // count buffered requests\n  this.bufferedRequestCount = 0;\n\n  // allocate the first CorkedRequest, there is always\n  // one allocated and free to use, and we maintain at most two\n  this.corkedRequestsFree = new CorkedRequest(this);\n}\n\nWritableState.prototype.getBuffer = function getBuffer() {\n  var current = this.bufferedRequest;\n  var out = [];\n  while (current) {\n    out.push(current);\n    current = current.next;\n  }\n  return out;\n};\n\n(function () {\n  try {\n    Object.defineProperty(WritableState.prototype, 'buffer', {\n      get: internalUtil.deprecate(function () {\n        return this.getBuffer();\n      }, '_writableState.buffer is deprecated. Use _writableState.getBuffer ' + 'instead.', 'DEP0003')\n    });\n  } catch (_) {}\n})();\n\n// Test _writableState for inheritance to account for Duplex streams,\n// whose prototype chain only points to Readable.\nvar realHasInstance;\nif (typeof Symbol === 'function' && Symbol.hasInstance && typeof Function.prototype[Symbol.hasInstance] === 'function') {\n  realHasInstance = Function.prototype[Symbol.hasInstance];\n  Object.defineProperty(Writable, Symbol.hasInstance, {\n    value: function (object) {\n      if (realHasInstance.call(this, object)) return true;\n      if (this !== Writable) return false;\n\n      return object && object._writableState instanceof WritableState;\n    }\n  });\n} else {\n  realHasInstance = function (object) {\n    return object instanceof this;\n  };\n}\n\nfunction Writable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  // Writable ctor is applied to Duplexes, too.\n  // `realHasInstance` is necessary because using plain `instanceof`\n  // would return false, as no `_writableState` property is attached.\n\n  // Trying to use the custom `instanceof` for Writable here will also break the\n  // Node.js LazyTransform implementation, which has a non-trivial getter for\n  // `_writableState` that would lead to infinite recursion.\n  if (!realHasInstance.call(Writable, this) && !(this instanceof Duplex)) {\n    return new Writable(options);\n  }\n\n  this._writableState = new WritableState(options, this);\n\n  // legacy.\n  this.writable = true;\n\n  if (options) {\n    if (typeof options.write === 'function') this._write = options.write;\n\n    if (typeof options.writev === 'function') this._writev = options.writev;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n\n    if (typeof options.final === 'function') this._final = options.final;\n  }\n\n  Stream.call(this);\n}\n\n// Otherwise people can pipe Writable streams, which is just wrong.\nWritable.prototype.pipe = function () {\n  this.emit('error', new Error('Cannot pipe, not readable'));\n};\n\nfunction writeAfterEnd(stream, cb) {\n  var er = new Error('write after end');\n  // TODO: defer error events consistently everywhere, not just the cb\n  stream.emit('error', er);\n  pna.nextTick(cb, er);\n}\n\n// Checks that a user-supplied chunk is valid, especially for the particular\n// mode the stream is in. Currently this means that `null` is never accepted\n// and undefined/non-string values are only allowed in object mode.\nfunction validChunk(stream, state, chunk, cb) {\n  var valid = true;\n  var er = false;\n\n  if (chunk === null) {\n    er = new TypeError('May not write null values to stream');\n  } else if (typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  if (er) {\n    stream.emit('error', er);\n    pna.nextTick(cb, er);\n    valid = false;\n  }\n  return valid;\n}\n\nWritable.prototype.write = function (chunk, encoding, cb) {\n  var state = this._writableState;\n  var ret = false;\n  var isBuf = !state.objectMode && _isUint8Array(chunk);\n\n  if (isBuf && !Buffer.isBuffer(chunk)) {\n    chunk = _uint8ArrayToBuffer(chunk);\n  }\n\n  if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (isBuf) encoding = 'buffer';else if (!encoding) encoding = state.defaultEncoding;\n\n  if (typeof cb !== 'function') cb = nop;\n\n  if (state.ended) writeAfterEnd(this, cb);else if (isBuf || validChunk(this, state, chunk, cb)) {\n    state.pendingcb++;\n    ret = writeOrBuffer(this, state, isBuf, chunk, encoding, cb);\n  }\n\n  return ret;\n};\n\nWritable.prototype.cork = function () {\n  var state = this._writableState;\n\n  state.corked++;\n};\n\nWritable.prototype.uncork = function () {\n  var state = this._writableState;\n\n  if (state.corked) {\n    state.corked--;\n\n    if (!state.writing && !state.corked && !state.finished && !state.bufferProcessing && state.bufferedRequest) clearBuffer(this, state);\n  }\n};\n\nWritable.prototype.setDefaultEncoding = function setDefaultEncoding(encoding) {\n  // node::ParseEncoding() requires lower case.\n  if (typeof encoding === 'string') encoding = encoding.toLowerCase();\n  if (!(['hex', 'utf8', 'utf-8', 'ascii', 'binary', 'base64', 'ucs2', 'ucs-2', 'utf16le', 'utf-16le', 'raw'].indexOf((encoding + '').toLowerCase()) > -1)) throw new TypeError('Unknown encoding: ' + encoding);\n  this._writableState.defaultEncoding = encoding;\n  return this;\n};\n\nfunction decodeChunk(state, chunk, encoding) {\n  if (!state.objectMode && state.decodeStrings !== false && typeof chunk === 'string') {\n    chunk = Buffer.from(chunk, encoding);\n  }\n  return chunk;\n}\n\nObject.defineProperty(Writable.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// if we're already writing something, then just put this\n// in the queue, and wait our turn.  Otherwise, call _write\n// If we return false, then we need a drain event, so set that flag.\nfunction writeOrBuffer(stream, state, isBuf, chunk, encoding, cb) {\n  if (!isBuf) {\n    var newChunk = decodeChunk(state, chunk, encoding);\n    if (chunk !== newChunk) {\n      isBuf = true;\n      encoding = 'buffer';\n      chunk = newChunk;\n    }\n  }\n  var len = state.objectMode ? 1 : chunk.length;\n\n  state.length += len;\n\n  var ret = state.length < state.highWaterMark;\n  // we must ensure that previous needDrain will not be reset to false.\n  if (!ret) state.needDrain = true;\n\n  if (state.writing || state.corked) {\n    var last = state.lastBufferedRequest;\n    state.lastBufferedRequest = {\n      chunk: chunk,\n      encoding: encoding,\n      isBuf: isBuf,\n      callback: cb,\n      next: null\n    };\n    if (last) {\n      last.next = state.lastBufferedRequest;\n    } else {\n      state.bufferedRequest = state.lastBufferedRequest;\n    }\n    state.bufferedRequestCount += 1;\n  } else {\n    doWrite(stream, state, false, len, chunk, encoding, cb);\n  }\n\n  return ret;\n}\n\nfunction doWrite(stream, state, writev, len, chunk, encoding, cb) {\n  state.writelen = len;\n  state.writecb = cb;\n  state.writing = true;\n  state.sync = true;\n  if (writev) stream._writev(chunk, state.onwrite);else stream._write(chunk, encoding, state.onwrite);\n  state.sync = false;\n}\n\nfunction onwriteError(stream, state, sync, er, cb) {\n  --state.pendingcb;\n\n  if (sync) {\n    // defer the callback if we are being called synchronously\n    // to avoid piling up things on the stack\n    pna.nextTick(cb, er);\n    // this can emit finish, and it will always happen\n    // after error\n    pna.nextTick(finishMaybe, stream, state);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n  } else {\n    // the caller expect this to happen before if\n    // it is async\n    cb(er);\n    stream._writableState.errorEmitted = true;\n    stream.emit('error', er);\n    // this can emit finish, but finish must\n    // always follow error\n    finishMaybe(stream, state);\n  }\n}\n\nfunction onwriteStateUpdate(state) {\n  state.writing = false;\n  state.writecb = null;\n  state.length -= state.writelen;\n  state.writelen = 0;\n}\n\nfunction onwrite(stream, er) {\n  var state = stream._writableState;\n  var sync = state.sync;\n  var cb = state.writecb;\n\n  onwriteStateUpdate(state);\n\n  if (er) onwriteError(stream, state, sync, er, cb);else {\n    // Check if we're actually ready to finish, but don't emit yet\n    var finished = needFinish(state);\n\n    if (!finished && !state.corked && !state.bufferProcessing && state.bufferedRequest) {\n      clearBuffer(stream, state);\n    }\n\n    if (sync) {\n      /*<replacement>*/\n      asyncWrite(afterWrite, stream, state, finished, cb);\n      /*</replacement>*/\n    } else {\n      afterWrite(stream, state, finished, cb);\n    }\n  }\n}\n\nfunction afterWrite(stream, state, finished, cb) {\n  if (!finished) onwriteDrain(stream, state);\n  state.pendingcb--;\n  cb();\n  finishMaybe(stream, state);\n}\n\n// Must force callback to be called on nextTick, so that we don't\n// emit 'drain' before the write() consumer gets the 'false' return\n// value, and has a chance to attach a 'drain' listener.\nfunction onwriteDrain(stream, state) {\n  if (state.length === 0 && state.needDrain) {\n    state.needDrain = false;\n    stream.emit('drain');\n  }\n}\n\n// if there's something in the buffer waiting, then process it\nfunction clearBuffer(stream, state) {\n  state.bufferProcessing = true;\n  var entry = state.bufferedRequest;\n\n  if (stream._writev && entry && entry.next) {\n    // Fast case, write everything using _writev()\n    var l = state.bufferedRequestCount;\n    var buffer = new Array(l);\n    var holder = state.corkedRequestsFree;\n    holder.entry = entry;\n\n    var count = 0;\n    var allBuffers = true;\n    while (entry) {\n      buffer[count] = entry;\n      if (!entry.isBuf) allBuffers = false;\n      entry = entry.next;\n      count += 1;\n    }\n    buffer.allBuffers = allBuffers;\n\n    doWrite(stream, state, true, state.length, buffer, '', holder.finish);\n\n    // doWrite is almost always async, defer these to save a bit of time\n    // as the hot path ends with doWrite\n    state.pendingcb++;\n    state.lastBufferedRequest = null;\n    if (holder.next) {\n      state.corkedRequestsFree = holder.next;\n      holder.next = null;\n    } else {\n      state.corkedRequestsFree = new CorkedRequest(state);\n    }\n    state.bufferedRequestCount = 0;\n  } else {\n    // Slow case, write chunks one-by-one\n    while (entry) {\n      var chunk = entry.chunk;\n      var encoding = entry.encoding;\n      var cb = entry.callback;\n      var len = state.objectMode ? 1 : chunk.length;\n\n      doWrite(stream, state, false, len, chunk, encoding, cb);\n      entry = entry.next;\n      state.bufferedRequestCount--;\n      // if we didn't call the onwrite immediately, then\n      // it means that we need to wait until it does.\n      // also, that means that the chunk and cb are currently\n      // being processed, so move the buffer counter past them.\n      if (state.writing) {\n        break;\n      }\n    }\n\n    if (entry === null) state.lastBufferedRequest = null;\n  }\n\n  state.bufferedRequest = entry;\n  state.bufferProcessing = false;\n}\n\nWritable.prototype._write = function (chunk, encoding, cb) {\n  cb(new Error('_write() is not implemented'));\n};\n\nWritable.prototype._writev = null;\n\nWritable.prototype.end = function (chunk, encoding, cb) {\n  var state = this._writableState;\n\n  if (typeof chunk === 'function') {\n    cb = chunk;\n    chunk = null;\n    encoding = null;\n  } else if (typeof encoding === 'function') {\n    cb = encoding;\n    encoding = null;\n  }\n\n  if (chunk !== null && chunk !== undefined) this.write(chunk, encoding);\n\n  // .end() fully uncorks\n  if (state.corked) {\n    state.corked = 1;\n    this.uncork();\n  }\n\n  // ignore unnecessary end() calls.\n  if (!state.ending && !state.finished) endWritable(this, state, cb);\n};\n\nfunction needFinish(state) {\n  return state.ending && state.length === 0 && state.bufferedRequest === null && !state.finished && !state.writing;\n}\nfunction callFinal(stream, state) {\n  stream._final(function (err) {\n    state.pendingcb--;\n    if (err) {\n      stream.emit('error', err);\n    }\n    state.prefinished = true;\n    stream.emit('prefinish');\n    finishMaybe(stream, state);\n  });\n}\nfunction prefinish(stream, state) {\n  if (!state.prefinished && !state.finalCalled) {\n    if (typeof stream._final === 'function') {\n      state.pendingcb++;\n      state.finalCalled = true;\n      pna.nextTick(callFinal, stream, state);\n    } else {\n      state.prefinished = true;\n      stream.emit('prefinish');\n    }\n  }\n}\n\nfunction finishMaybe(stream, state) {\n  var need = needFinish(state);\n  if (need) {\n    prefinish(stream, state);\n    if (state.pendingcb === 0) {\n      state.finished = true;\n      stream.emit('finish');\n    }\n  }\n  return need;\n}\n\nfunction endWritable(stream, state, cb) {\n  state.ending = true;\n  finishMaybe(stream, state);\n  if (cb) {\n    if (state.finished) pna.nextTick(cb);else stream.once('finish', cb);\n  }\n  state.ended = true;\n  stream.writable = false;\n}\n\nfunction onCorkedFinish(corkReq, state, err) {\n  var entry = corkReq.entry;\n  corkReq.entry = null;\n  while (entry) {\n    var cb = entry.callback;\n    state.pendingcb--;\n    cb(err);\n    entry = entry.next;\n  }\n  if (state.corkedRequestsFree) {\n    state.corkedRequestsFree.next = corkReq;\n  } else {\n    state.corkedRequestsFree = corkReq;\n  }\n}\n\nObject.defineProperty(Writable.prototype, 'destroyed', {\n  get: function () {\n    if (this._writableState === undefined) {\n      return false;\n    }\n    return this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._writableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._writableState.destroyed = value;\n  }\n});\n\nWritable.prototype.destroy = destroyImpl.destroy;\nWritable.prototype._undestroy = destroyImpl.undestroy;\nWritable.prototype._destroy = function (err, cb) {\n  this.end();\n  cb(err);\n};","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a duplex stream is just a stream that is both readable and writable.\n// Since JS doesn't have multiple prototypal inheritance, this class\n// prototypally inherits from Readable, and then parasitically from\n// Writable.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\n/*<replacement>*/\nvar objectKeys = Object.keys || function (obj) {\n  var keys = [];\n  for (var key in obj) {\n    keys.push(key);\n  }return keys;\n};\n/*</replacement>*/\n\nmodule.exports = Duplex;\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nvar Readable = require('./_stream_readable');\nvar Writable = require('./_stream_writable');\n\nutil.inherits(Duplex, Readable);\n\n{\n  // avoid scope creep, the keys array can then be collected\n  var keys = objectKeys(Writable.prototype);\n  for (var v = 0; v < keys.length; v++) {\n    var method = keys[v];\n    if (!Duplex.prototype[method]) Duplex.prototype[method] = Writable.prototype[method];\n  }\n}\n\nfunction Duplex(options) {\n  if (!(this instanceof Duplex)) return new Duplex(options);\n\n  Readable.call(this, options);\n  Writable.call(this, options);\n\n  if (options && options.readable === false) this.readable = false;\n\n  if (options && options.writable === false) this.writable = false;\n\n  this.allowHalfOpen = true;\n  if (options && options.allowHalfOpen === false) this.allowHalfOpen = false;\n\n  this.once('end', onend);\n}\n\nObject.defineProperty(Duplex.prototype, 'writableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._writableState.highWaterMark;\n  }\n});\n\n// the no-half-open enforcer\nfunction onend() {\n  // if we allow half-open state, or if the writable side ended,\n  // then we're ok.\n  if (this.allowHalfOpen || this._writableState.ended) return;\n\n  // no more data can be written.\n  // But allow more writes to happen in this tick.\n  pna.nextTick(onEndNT, this);\n}\n\nfunction onEndNT(self) {\n  self.end();\n}\n\nObject.defineProperty(Duplex.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed && this._writableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (this._readableState === undefined || this._writableState === undefined) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n    this._writableState.destroyed = value;\n  }\n});\n\nDuplex.prototype._destroy = function (err, cb) {\n  this.push(null);\n  this.end();\n\n  pna.nextTick(cb, err);\n};","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\n/*</replacement>*/\n\nvar isEncoding = Buffer.isEncoding || function (encoding) {\n  encoding = '' + encoding;\n  switch (encoding && encoding.toLowerCase()) {\n    case 'hex':case 'utf8':case 'utf-8':case 'ascii':case 'binary':case 'base64':case 'ucs2':case 'ucs-2':case 'utf16le':case 'utf-16le':case 'raw':\n      return true;\n    default:\n      return false;\n  }\n};\n\nfunction _normalizeEncoding(enc) {\n  if (!enc) return 'utf8';\n  var retried;\n  while (true) {\n    switch (enc) {\n      case 'utf8':\n      case 'utf-8':\n        return 'utf8';\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return 'utf16le';\n      case 'latin1':\n      case 'binary':\n        return 'latin1';\n      case 'base64':\n      case 'ascii':\n      case 'hex':\n        return enc;\n      default:\n        if (retried) return; // undefined\n        enc = ('' + enc).toLowerCase();\n        retried = true;\n    }\n  }\n};\n\n// Do not cache `Buffer.isEncoding` when checking encoding names as some\n// modules monkey-patch it to support additional encodings\nfunction normalizeEncoding(enc) {\n  var nenc = _normalizeEncoding(enc);\n  if (typeof nenc !== 'string' && (Buffer.isEncoding === isEncoding || !isEncoding(enc))) throw new Error('Unknown encoding: ' + enc);\n  return nenc || enc;\n}\n\n// StringDecoder provides an interface for efficiently splitting a series of\n// buffers into a series of JS strings without breaking apart multi-byte\n// characters.\nexports.StringDecoder = StringDecoder;\nfunction StringDecoder(encoding) {\n  this.encoding = normalizeEncoding(encoding);\n  var nb;\n  switch (this.encoding) {\n    case 'utf16le':\n      this.text = utf16Text;\n      this.end = utf16End;\n      nb = 4;\n      break;\n    case 'utf8':\n      this.fillLast = utf8FillLast;\n      nb = 4;\n      break;\n    case 'base64':\n      this.text = base64Text;\n      this.end = base64End;\n      nb = 3;\n      break;\n    default:\n      this.write = simpleWrite;\n      this.end = simpleEnd;\n      return;\n  }\n  this.lastNeed = 0;\n  this.lastTotal = 0;\n  this.lastChar = Buffer.allocUnsafe(nb);\n}\n\nStringDecoder.prototype.write = function (buf) {\n  if (buf.length === 0) return '';\n  var r;\n  var i;\n  if (this.lastNeed) {\n    r = this.fillLast(buf);\n    if (r === undefined) return '';\n    i = this.lastNeed;\n    this.lastNeed = 0;\n  } else {\n    i = 0;\n  }\n  if (i < buf.length) return r ? r + this.text(buf, i) : this.text(buf, i);\n  return r || '';\n};\n\nStringDecoder.prototype.end = utf8End;\n\n// Returns only complete characters in a Buffer\nStringDecoder.prototype.text = utf8Text;\n\n// Attempts to complete a partial non-UTF-8 character using bytes from a Buffer\nStringDecoder.prototype.fillLast = function (buf) {\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, this.lastTotal - this.lastNeed, 0, buf.length);\n  this.lastNeed -= buf.length;\n};\n\n// Checks the type of a UTF-8 byte, whether it's ASCII, a leading byte, or a\n// continuation byte. If an invalid byte is detected, -2 is returned.\nfunction utf8CheckByte(byte) {\n  if (byte <= 0x7F) return 0;else if (byte >> 5 === 0x06) return 2;else if (byte >> 4 === 0x0E) return 3;else if (byte >> 3 === 0x1E) return 4;\n  return byte >> 6 === 0x02 ? -1 : -2;\n}\n\n// Checks at most 3 bytes at the end of a Buffer in order to detect an\n// incomplete multi-byte UTF-8 character. The total number of bytes (2, 3, or 4)\n// needed to complete the UTF-8 character (if applicable) are returned.\nfunction utf8CheckIncomplete(self, buf, i) {\n  var j = buf.length - 1;\n  if (j < i) return 0;\n  var nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 1;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) self.lastNeed = nb - 2;\n    return nb;\n  }\n  if (--j < i || nb === -2) return 0;\n  nb = utf8CheckByte(buf[j]);\n  if (nb >= 0) {\n    if (nb > 0) {\n      if (nb === 2) nb = 0;else self.lastNeed = nb - 3;\n    }\n    return nb;\n  }\n  return 0;\n}\n\n// Validates as many continuation bytes for a multi-byte UTF-8 character as\n// needed or are available. If we see a non-continuation byte where we expect\n// one, we \"replace\" the validated continuation bytes we've seen so far with\n// a single UTF-8 replacement character ('\\ufffd'), to match v8's UTF-8 decoding\n// behavior. The continuation byte check is included three times in the case\n// where all of the continuation bytes for a character exist in the same buffer.\n// It is also done this way as a slight performance increase instead of using a\n// loop.\nfunction utf8CheckExtraBytes(self, buf, p) {\n  if ((buf[0] & 0xC0) !== 0x80) {\n    self.lastNeed = 0;\n    return '\\ufffd';\n  }\n  if (self.lastNeed > 1 && buf.length > 1) {\n    if ((buf[1] & 0xC0) !== 0x80) {\n      self.lastNeed = 1;\n      return '\\ufffd';\n    }\n    if (self.lastNeed > 2 && buf.length > 2) {\n      if ((buf[2] & 0xC0) !== 0x80) {\n        self.lastNeed = 2;\n        return '\\ufffd';\n      }\n    }\n  }\n}\n\n// Attempts to complete a multi-byte UTF-8 character using bytes from a Buffer.\nfunction utf8FillLast(buf) {\n  var p = this.lastTotal - this.lastNeed;\n  var r = utf8CheckExtraBytes(this, buf, p);\n  if (r !== undefined) return r;\n  if (this.lastNeed <= buf.length) {\n    buf.copy(this.lastChar, p, 0, this.lastNeed);\n    return this.lastChar.toString(this.encoding, 0, this.lastTotal);\n  }\n  buf.copy(this.lastChar, p, 0, buf.length);\n  this.lastNeed -= buf.length;\n}\n\n// Returns all complete UTF-8 characters in a Buffer. If the Buffer ended on a\n// partial character, the character's bytes are buffered until the required\n// number of bytes are available.\nfunction utf8Text(buf, i) {\n  var total = utf8CheckIncomplete(this, buf, i);\n  if (!this.lastNeed) return buf.toString('utf8', i);\n  this.lastTotal = total;\n  var end = buf.length - (total - this.lastNeed);\n  buf.copy(this.lastChar, 0, end);\n  return buf.toString('utf8', i, end);\n}\n\n// For UTF-8, a replacement character is added when ending on a partial\n// character.\nfunction utf8End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + '\\ufffd';\n  return r;\n}\n\n// UTF-16LE typically needs two bytes per character, but even if we have an even\n// number of bytes available, we need to check if we end on a leading/high\n// surrogate. In that case, we need to wait for the next two bytes in order to\n// decode the last character properly.\nfunction utf16Text(buf, i) {\n  if ((buf.length - i) % 2 === 0) {\n    var r = buf.toString('utf16le', i);\n    if (r) {\n      var c = r.charCodeAt(r.length - 1);\n      if (c >= 0xD800 && c <= 0xDBFF) {\n        this.lastNeed = 2;\n        this.lastTotal = 4;\n        this.lastChar[0] = buf[buf.length - 2];\n        this.lastChar[1] = buf[buf.length - 1];\n        return r.slice(0, -1);\n      }\n    }\n    return r;\n  }\n  this.lastNeed = 1;\n  this.lastTotal = 2;\n  this.lastChar[0] = buf[buf.length - 1];\n  return buf.toString('utf16le', i, buf.length - 1);\n}\n\n// For UTF-16LE we do not explicitly append special replacement characters if we\n// end on a partial character, we simply let v8 handle that.\nfunction utf16End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) {\n    var end = this.lastTotal - this.lastNeed;\n    return r + this.lastChar.toString('utf16le', 0, end);\n  }\n  return r;\n}\n\nfunction base64Text(buf, i) {\n  var n = (buf.length - i) % 3;\n  if (n === 0) return buf.toString('base64', i);\n  this.lastNeed = 3 - n;\n  this.lastTotal = 3;\n  if (n === 1) {\n    this.lastChar[0] = buf[buf.length - 1];\n  } else {\n    this.lastChar[0] = buf[buf.length - 2];\n    this.lastChar[1] = buf[buf.length - 1];\n  }\n  return buf.toString('base64', i, buf.length - n);\n}\n\nfunction base64End(buf) {\n  var r = buf && buf.length ? this.write(buf) : '';\n  if (this.lastNeed) return r + this.lastChar.toString('base64', 0, 3 - this.lastNeed);\n  return r;\n}\n\n// Pass bytes on through for single-byte encodings (e.g. ascii, latin1, hex)\nfunction simpleWrite(buf) {\n  return buf.toString(this.encoding);\n}\n\nfunction simpleEnd(buf) {\n  return buf && buf.length ? this.write(buf) : '';\n}","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n/*<replacement>*/\n\nvar pna = require('process-nextick-args');\n/*</replacement>*/\n\nmodule.exports = Readable;\n\n/*<replacement>*/\nvar isArray = require('isarray');\n/*</replacement>*/\n\n/*<replacement>*/\nvar Duplex;\n/*</replacement>*/\n\nReadable.ReadableState = ReadableState;\n\n/*<replacement>*/\nvar EE = require('events').EventEmitter;\n\nvar EElistenerCount = function (emitter, type) {\n  return emitter.listeners(type).length;\n};\n/*</replacement>*/\n\n/*<replacement>*/\nvar Stream = require('./internal/streams/stream');\n/*</replacement>*/\n\n/*<replacement>*/\n\nvar Buffer = require('safe-buffer').Buffer;\nvar OurUint8Array = global.Uint8Array || function () {};\nfunction _uint8ArrayToBuffer(chunk) {\n  return Buffer.from(chunk);\n}\nfunction _isUint8Array(obj) {\n  return Buffer.isBuffer(obj) || obj instanceof OurUint8Array;\n}\n\n/*</replacement>*/\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\n/*<replacement>*/\nvar debugUtil = require('util');\nvar debug = void 0;\nif (debugUtil && debugUtil.debuglog) {\n  debug = debugUtil.debuglog('stream');\n} else {\n  debug = function () {};\n}\n/*</replacement>*/\n\nvar BufferList = require('./internal/streams/BufferList');\nvar destroyImpl = require('./internal/streams/destroy');\nvar StringDecoder;\n\nutil.inherits(Readable, Stream);\n\nvar kProxyEvents = ['error', 'close', 'destroy', 'pause', 'resume'];\n\nfunction prependListener(emitter, event, fn) {\n  // Sadly this is not cacheable as some libraries bundle their own\n  // event emitter implementation with them.\n  if (typeof emitter.prependListener === 'function') return emitter.prependListener(event, fn);\n\n  // This is a hack to make sure that our error handler is attached before any\n  // userland ones.  NEVER DO THIS. This is here only because this code needs\n  // to continue to work with older versions of Node.js that do not include\n  // the prependListener() method. The goal is to eventually remove this hack.\n  if (!emitter._events || !emitter._events[event]) emitter.on(event, fn);else if (isArray(emitter._events[event])) emitter._events[event].unshift(fn);else emitter._events[event] = [fn, emitter._events[event]];\n}\n\nfunction ReadableState(options, stream) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  options = options || {};\n\n  // Duplex streams are both readable and writable, but share\n  // the same options object.\n  // However, some cases require setting options to different\n  // values for the readable and the writable sides of the duplex stream.\n  // These options can be provided separately as readableXXX and writableXXX.\n  var isDuplex = stream instanceof Duplex;\n\n  // object stream flag. Used to make read(n) ignore n and to\n  // make all the buffer merging and length checks go away\n  this.objectMode = !!options.objectMode;\n\n  if (isDuplex) this.objectMode = this.objectMode || !!options.readableObjectMode;\n\n  // the point at which it stops calling _read() to fill the buffer\n  // Note: 0 is a valid value, means \"don't call _read preemptively ever\"\n  var hwm = options.highWaterMark;\n  var readableHwm = options.readableHighWaterMark;\n  var defaultHwm = this.objectMode ? 16 : 16 * 1024;\n\n  if (hwm || hwm === 0) this.highWaterMark = hwm;else if (isDuplex && (readableHwm || readableHwm === 0)) this.highWaterMark = readableHwm;else this.highWaterMark = defaultHwm;\n\n  // cast to ints.\n  this.highWaterMark = Math.floor(this.highWaterMark);\n\n  // A linked list is used to store data chunks instead of an array because the\n  // linked list can remove elements from the beginning faster than\n  // array.shift()\n  this.buffer = new BufferList();\n  this.length = 0;\n  this.pipes = null;\n  this.pipesCount = 0;\n  this.flowing = null;\n  this.ended = false;\n  this.endEmitted = false;\n  this.reading = false;\n\n  // a flag to be able to tell if the event 'readable'/'data' is emitted\n  // immediately, or on a later tick.  We set this to true at first, because\n  // any actions that shouldn't happen until \"later\" should generally also\n  // not happen before the first read call.\n  this.sync = true;\n\n  // whenever we return null, then we set a flag to say\n  // that we're awaiting a 'readable' event emission.\n  this.needReadable = false;\n  this.emittedReadable = false;\n  this.readableListening = false;\n  this.resumeScheduled = false;\n\n  // has it been destroyed\n  this.destroyed = false;\n\n  // Crypto is kind of old and crusty.  Historically, its default string\n  // encoding is 'binary' so we have to make this configurable.\n  // Everything else in the universe uses 'utf8', though.\n  this.defaultEncoding = options.defaultEncoding || 'utf8';\n\n  // the number of writers that are awaiting a drain event in .pipe()s\n  this.awaitDrain = 0;\n\n  // if true, a maybeReadMore has been scheduled\n  this.readingMore = false;\n\n  this.decoder = null;\n  this.encoding = null;\n  if (options.encoding) {\n    if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n    this.decoder = new StringDecoder(options.encoding);\n    this.encoding = options.encoding;\n  }\n}\n\nfunction Readable(options) {\n  Duplex = Duplex || require('./_stream_duplex');\n\n  if (!(this instanceof Readable)) return new Readable(options);\n\n  this._readableState = new ReadableState(options, this);\n\n  // legacy\n  this.readable = true;\n\n  if (options) {\n    if (typeof options.read === 'function') this._read = options.read;\n\n    if (typeof options.destroy === 'function') this._destroy = options.destroy;\n  }\n\n  Stream.call(this);\n}\n\nObject.defineProperty(Readable.prototype, 'destroyed', {\n  get: function () {\n    if (this._readableState === undefined) {\n      return false;\n    }\n    return this._readableState.destroyed;\n  },\n  set: function (value) {\n    // we ignore the value if the stream\n    // has not been initialized yet\n    if (!this._readableState) {\n      return;\n    }\n\n    // backward compatibility, the user is explicitly\n    // managing destroyed\n    this._readableState.destroyed = value;\n  }\n});\n\nReadable.prototype.destroy = destroyImpl.destroy;\nReadable.prototype._undestroy = destroyImpl.undestroy;\nReadable.prototype._destroy = function (err, cb) {\n  this.push(null);\n  cb(err);\n};\n\n// Manually shove something into the read() buffer.\n// This returns true if the highWaterMark has not been hit yet,\n// similar to how Writable.write() returns true if you should\n// write() some more.\nReadable.prototype.push = function (chunk, encoding) {\n  var state = this._readableState;\n  var skipChunkCheck;\n\n  if (!state.objectMode) {\n    if (typeof chunk === 'string') {\n      encoding = encoding || state.defaultEncoding;\n      if (encoding !== state.encoding) {\n        chunk = Buffer.from(chunk, encoding);\n        encoding = '';\n      }\n      skipChunkCheck = true;\n    }\n  } else {\n    skipChunkCheck = true;\n  }\n\n  return readableAddChunk(this, chunk, encoding, false, skipChunkCheck);\n};\n\n// Unshift should *always* be something directly out of read()\nReadable.prototype.unshift = function (chunk) {\n  return readableAddChunk(this, chunk, null, true, false);\n};\n\nfunction readableAddChunk(stream, chunk, encoding, addToFront, skipChunkCheck) {\n  var state = stream._readableState;\n  if (chunk === null) {\n    state.reading = false;\n    onEofChunk(stream, state);\n  } else {\n    var er;\n    if (!skipChunkCheck) er = chunkInvalid(state, chunk);\n    if (er) {\n      stream.emit('error', er);\n    } else if (state.objectMode || chunk && chunk.length > 0) {\n      if (typeof chunk !== 'string' && !state.objectMode && Object.getPrototypeOf(chunk) !== Buffer.prototype) {\n        chunk = _uint8ArrayToBuffer(chunk);\n      }\n\n      if (addToFront) {\n        if (state.endEmitted) stream.emit('error', new Error('stream.unshift() after end event'));else addChunk(stream, state, chunk, true);\n      } else if (state.ended) {\n        stream.emit('error', new Error('stream.push() after EOF'));\n      } else {\n        state.reading = false;\n        if (state.decoder && !encoding) {\n          chunk = state.decoder.write(chunk);\n          if (state.objectMode || chunk.length !== 0) addChunk(stream, state, chunk, false);else maybeReadMore(stream, state);\n        } else {\n          addChunk(stream, state, chunk, false);\n        }\n      }\n    } else if (!addToFront) {\n      state.reading = false;\n    }\n  }\n\n  return needMoreData(state);\n}\n\nfunction addChunk(stream, state, chunk, addToFront) {\n  if (state.flowing && state.length === 0 && !state.sync) {\n    stream.emit('data', chunk);\n    stream.read(0);\n  } else {\n    // update the buffer info.\n    state.length += state.objectMode ? 1 : chunk.length;\n    if (addToFront) state.buffer.unshift(chunk);else state.buffer.push(chunk);\n\n    if (state.needReadable) emitReadable(stream);\n  }\n  maybeReadMore(stream, state);\n}\n\nfunction chunkInvalid(state, chunk) {\n  var er;\n  if (!_isUint8Array(chunk) && typeof chunk !== 'string' && chunk !== undefined && !state.objectMode) {\n    er = new TypeError('Invalid non-string/buffer chunk');\n  }\n  return er;\n}\n\n// if it's past the high water mark, we can push in some more.\n// Also, if we have no data yet, we can stand some\n// more bytes.  This is to work around cases where hwm=0,\n// such as the repl.  Also, if the push() triggered a\n// readable event, and the user called read(largeNumber) such that\n// needReadable was set, then we ought to push more, so that another\n// 'readable' event will be triggered.\nfunction needMoreData(state) {\n  return !state.ended && (state.needReadable || state.length < state.highWaterMark || state.length === 0);\n}\n\nReadable.prototype.isPaused = function () {\n  return this._readableState.flowing === false;\n};\n\n// backwards compatibility.\nReadable.prototype.setEncoding = function (enc) {\n  if (!StringDecoder) StringDecoder = require('string_decoder/').StringDecoder;\n  this._readableState.decoder = new StringDecoder(enc);\n  this._readableState.encoding = enc;\n  return this;\n};\n\n// Don't raise the hwm > 8MB\nvar MAX_HWM = 0x800000;\nfunction computeNewHighWaterMark(n) {\n  if (n >= MAX_HWM) {\n    n = MAX_HWM;\n  } else {\n    // Get the next highest power of 2 to prevent increasing hwm excessively in\n    // tiny amounts\n    n--;\n    n |= n >>> 1;\n    n |= n >>> 2;\n    n |= n >>> 4;\n    n |= n >>> 8;\n    n |= n >>> 16;\n    n++;\n  }\n  return n;\n}\n\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction howMuchToRead(n, state) {\n  if (n <= 0 || state.length === 0 && state.ended) return 0;\n  if (state.objectMode) return 1;\n  if (n !== n) {\n    // Only flow one buffer at a time\n    if (state.flowing && state.length) return state.buffer.head.data.length;else return state.length;\n  }\n  // If we're asking for more than the current hwm, then raise the hwm.\n  if (n > state.highWaterMark) state.highWaterMark = computeNewHighWaterMark(n);\n  if (n <= state.length) return n;\n  // Don't have enough\n  if (!state.ended) {\n    state.needReadable = true;\n    return 0;\n  }\n  return state.length;\n}\n\n// you can override either this method, or the async _read(n) below.\nReadable.prototype.read = function (n) {\n  debug('read', n);\n  n = parseInt(n, 10);\n  var state = this._readableState;\n  var nOrig = n;\n\n  if (n !== 0) state.emittedReadable = false;\n\n  // if we're doing read(0) to trigger a readable event, but we\n  // already have a bunch of data in the buffer, then just trigger\n  // the 'readable' event and move on.\n  if (n === 0 && state.needReadable && (state.length >= state.highWaterMark || state.ended)) {\n    debug('read: emitReadable', state.length, state.ended);\n    if (state.length === 0 && state.ended) endReadable(this);else emitReadable(this);\n    return null;\n  }\n\n  n = howMuchToRead(n, state);\n\n  // if we've ended, and we're now clear, then finish it up.\n  if (n === 0 && state.ended) {\n    if (state.length === 0) endReadable(this);\n    return null;\n  }\n\n  // All the actual chunk generation logic needs to be\n  // *below* the call to _read.  The reason is that in certain\n  // synthetic stream cases, such as passthrough streams, _read\n  // may be a completely synchronous operation which may change\n  // the state of the read buffer, providing enough data when\n  // before there was *not* enough.\n  //\n  // So, the steps are:\n  // 1. Figure out what the state of things will be after we do\n  // a read from the buffer.\n  //\n  // 2. If that resulting state will trigger a _read, then call _read.\n  // Note that this may be asynchronous, or synchronous.  Yes, it is\n  // deeply ugly to write APIs this way, but that still doesn't mean\n  // that the Readable class should behave improperly, as streams are\n  // designed to be sync/async agnostic.\n  // Take note if the _read call is sync or async (ie, if the read call\n  // has returned yet), so that we know whether or not it's safe to emit\n  // 'readable' etc.\n  //\n  // 3. Actually pull the requested chunks out of the buffer and return.\n\n  // if we need a readable event, then we need to do some reading.\n  var doRead = state.needReadable;\n  debug('need readable', doRead);\n\n  // if we currently have less than the highWaterMark, then also read some\n  if (state.length === 0 || state.length - n < state.highWaterMark) {\n    doRead = true;\n    debug('length less than watermark', doRead);\n  }\n\n  // however, if we've ended, then there's no point, and if we're already\n  // reading, then it's unnecessary.\n  if (state.ended || state.reading) {\n    doRead = false;\n    debug('reading or ended', doRead);\n  } else if (doRead) {\n    debug('do read');\n    state.reading = true;\n    state.sync = true;\n    // if the length is currently zero, then we *need* a readable event.\n    if (state.length === 0) state.needReadable = true;\n    // call internal read method\n    this._read(state.highWaterMark);\n    state.sync = false;\n    // If _read pushed data synchronously, then `reading` will be false,\n    // and we need to re-evaluate how much data we can return to the user.\n    if (!state.reading) n = howMuchToRead(nOrig, state);\n  }\n\n  var ret;\n  if (n > 0) ret = fromList(n, state);else ret = null;\n\n  if (ret === null) {\n    state.needReadable = true;\n    n = 0;\n  } else {\n    state.length -= n;\n  }\n\n  if (state.length === 0) {\n    // If we have nothing in the buffer, then we want to know\n    // as soon as we *do* get something into the buffer.\n    if (!state.ended) state.needReadable = true;\n\n    // If we tried to read() past the EOF, then emit end on the next tick.\n    if (nOrig !== n && state.ended) endReadable(this);\n  }\n\n  if (ret !== null) this.emit('data', ret);\n\n  return ret;\n};\n\nfunction onEofChunk(stream, state) {\n  if (state.ended) return;\n  if (state.decoder) {\n    var chunk = state.decoder.end();\n    if (chunk && chunk.length) {\n      state.buffer.push(chunk);\n      state.length += state.objectMode ? 1 : chunk.length;\n    }\n  }\n  state.ended = true;\n\n  // emit 'readable' now to make sure it gets picked up.\n  emitReadable(stream);\n}\n\n// Don't emit readable right away in sync mode, because this can trigger\n// another read() call => stack overflow.  This way, it might trigger\n// a nextTick recursion warning, but that's not so bad.\nfunction emitReadable(stream) {\n  var state = stream._readableState;\n  state.needReadable = false;\n  if (!state.emittedReadable) {\n    debug('emitReadable', state.flowing);\n    state.emittedReadable = true;\n    if (state.sync) pna.nextTick(emitReadable_, stream);else emitReadable_(stream);\n  }\n}\n\nfunction emitReadable_(stream) {\n  debug('emit readable');\n  stream.emit('readable');\n  flow(stream);\n}\n\n// at this point, the user has presumably seen the 'readable' event,\n// and called read() to consume some data.  that may have triggered\n// in turn another _read(n) call, in which case reading = true if\n// it's in progress.\n// However, if we're not ended, or reading, and the length < hwm,\n// then go ahead and try to read some more preemptively.\nfunction maybeReadMore(stream, state) {\n  if (!state.readingMore) {\n    state.readingMore = true;\n    pna.nextTick(maybeReadMore_, stream, state);\n  }\n}\n\nfunction maybeReadMore_(stream, state) {\n  var len = state.length;\n  while (!state.reading && !state.flowing && !state.ended && state.length < state.highWaterMark) {\n    debug('maybeReadMore read 0');\n    stream.read(0);\n    if (len === state.length)\n      // didn't get any data, stop spinning.\n      break;else len = state.length;\n  }\n  state.readingMore = false;\n}\n\n// abstract method.  to be overridden in specific implementation classes.\n// call cb(er, data) where data is <= n in length.\n// for virtual (non-string, non-buffer) streams, \"length\" is somewhat\n// arbitrary, and perhaps not very meaningful.\nReadable.prototype._read = function (n) {\n  this.emit('error', new Error('_read() is not implemented'));\n};\n\nReadable.prototype.pipe = function (dest, pipeOpts) {\n  var src = this;\n  var state = this._readableState;\n\n  switch (state.pipesCount) {\n    case 0:\n      state.pipes = dest;\n      break;\n    case 1:\n      state.pipes = [state.pipes, dest];\n      break;\n    default:\n      state.pipes.push(dest);\n      break;\n  }\n  state.pipesCount += 1;\n  debug('pipe count=%d opts=%j', state.pipesCount, pipeOpts);\n\n  var doEnd = (!pipeOpts || pipeOpts.end !== false) && dest !== process.stdout && dest !== process.stderr;\n\n  var endFn = doEnd ? onend : unpipe;\n  if (state.endEmitted) pna.nextTick(endFn);else src.once('end', endFn);\n\n  dest.on('unpipe', onunpipe);\n  function onunpipe(readable, unpipeInfo) {\n    debug('onunpipe');\n    if (readable === src) {\n      if (unpipeInfo && unpipeInfo.hasUnpiped === false) {\n        unpipeInfo.hasUnpiped = true;\n        cleanup();\n      }\n    }\n  }\n\n  function onend() {\n    debug('onend');\n    dest.end();\n  }\n\n  // when the dest drains, it reduces the awaitDrain counter\n  // on the source.  This would be more elegant with a .once()\n  // handler in flow(), but adding and removing repeatedly is\n  // too slow.\n  var ondrain = pipeOnDrain(src);\n  dest.on('drain', ondrain);\n\n  var cleanedUp = false;\n  function cleanup() {\n    debug('cleanup');\n    // cleanup event handlers once the pipe is broken\n    dest.removeListener('close', onclose);\n    dest.removeListener('finish', onfinish);\n    dest.removeListener('drain', ondrain);\n    dest.removeListener('error', onerror);\n    dest.removeListener('unpipe', onunpipe);\n    src.removeListener('end', onend);\n    src.removeListener('end', unpipe);\n    src.removeListener('data', ondata);\n\n    cleanedUp = true;\n\n    // if the reader is waiting for a drain event from this\n    // specific writer, then it would cause it to never start\n    // flowing again.\n    // So, if this is awaiting a drain, then we just call it now.\n    // If we don't know, then assume that we are waiting for one.\n    if (state.awaitDrain && (!dest._writableState || dest._writableState.needDrain)) ondrain();\n  }\n\n  // If the user pushes more data while we're writing to dest then we'll end up\n  // in ondata again. However, we only want to increase awaitDrain once because\n  // dest will only emit one 'drain' event for the multiple writes.\n  // => Introduce a guard on increasing awaitDrain.\n  var increasedAwaitDrain = false;\n  src.on('data', ondata);\n  function ondata(chunk) {\n    debug('ondata');\n    increasedAwaitDrain = false;\n    var ret = dest.write(chunk);\n    if (false === ret && !increasedAwaitDrain) {\n      // If the user unpiped during `dest.write()`, it is possible\n      // to get stuck in a permanently paused state if that write\n      // also returned false.\n      // => Check whether `dest` is still a piping destination.\n      if ((state.pipesCount === 1 && state.pipes === dest || state.pipesCount > 1 && indexOf(state.pipes, dest) !== -1) && !cleanedUp) {\n        debug('false write response, pause', src._readableState.awaitDrain);\n        src._readableState.awaitDrain++;\n        increasedAwaitDrain = true;\n      }\n      src.pause();\n    }\n  }\n\n  // if the dest has an error, then stop piping into it.\n  // however, don't suppress the throwing behavior for this.\n  function onerror(er) {\n    debug('onerror', er);\n    unpipe();\n    dest.removeListener('error', onerror);\n    if (EElistenerCount(dest, 'error') === 0) dest.emit('error', er);\n  }\n\n  // Make sure our error handler is attached before userland ones.\n  prependListener(dest, 'error', onerror);\n\n  // Both close and finish should trigger unpipe, but only once.\n  function onclose() {\n    dest.removeListener('finish', onfinish);\n    unpipe();\n  }\n  dest.once('close', onclose);\n  function onfinish() {\n    debug('onfinish');\n    dest.removeListener('close', onclose);\n    unpipe();\n  }\n  dest.once('finish', onfinish);\n\n  function unpipe() {\n    debug('unpipe');\n    src.unpipe(dest);\n  }\n\n  // tell the dest that it's being piped to\n  dest.emit('pipe', src);\n\n  // start the flow if it hasn't been started already.\n  if (!state.flowing) {\n    debug('pipe resume');\n    src.resume();\n  }\n\n  return dest;\n};\n\nfunction pipeOnDrain(src) {\n  return function () {\n    var state = src._readableState;\n    debug('pipeOnDrain', state.awaitDrain);\n    if (state.awaitDrain) state.awaitDrain--;\n    if (state.awaitDrain === 0 && EElistenerCount(src, 'data')) {\n      state.flowing = true;\n      flow(src);\n    }\n  };\n}\n\nReadable.prototype.unpipe = function (dest) {\n  var state = this._readableState;\n  var unpipeInfo = { hasUnpiped: false };\n\n  // if we're not piping anywhere, then do nothing.\n  if (state.pipesCount === 0) return this;\n\n  // just one destination.  most common case.\n  if (state.pipesCount === 1) {\n    // passed in one, but it's not the right one.\n    if (dest && dest !== state.pipes) return this;\n\n    if (!dest) dest = state.pipes;\n\n    // got a match.\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n    if (dest) dest.emit('unpipe', this, unpipeInfo);\n    return this;\n  }\n\n  // slow case. multiple pipe destinations.\n\n  if (!dest) {\n    // remove all.\n    var dests = state.pipes;\n    var len = state.pipesCount;\n    state.pipes = null;\n    state.pipesCount = 0;\n    state.flowing = false;\n\n    for (var i = 0; i < len; i++) {\n      dests[i].emit('unpipe', this, unpipeInfo);\n    }return this;\n  }\n\n  // try to find the right one.\n  var index = indexOf(state.pipes, dest);\n  if (index === -1) return this;\n\n  state.pipes.splice(index, 1);\n  state.pipesCount -= 1;\n  if (state.pipesCount === 1) state.pipes = state.pipes[0];\n\n  dest.emit('unpipe', this, unpipeInfo);\n\n  return this;\n};\n\n// set up data events if they are asked for\n// Ensure readable listeners eventually get something\nReadable.prototype.on = function (ev, fn) {\n  var res = Stream.prototype.on.call(this, ev, fn);\n\n  if (ev === 'data') {\n    // Start flowing on next tick if stream isn't explicitly paused\n    if (this._readableState.flowing !== false) this.resume();\n  } else if (ev === 'readable') {\n    var state = this._readableState;\n    if (!state.endEmitted && !state.readableListening) {\n      state.readableListening = state.needReadable = true;\n      state.emittedReadable = false;\n      if (!state.reading) {\n        pna.nextTick(nReadingNextTick, this);\n      } else if (state.length) {\n        emitReadable(this);\n      }\n    }\n  }\n\n  return res;\n};\nReadable.prototype.addListener = Readable.prototype.on;\n\nfunction nReadingNextTick(self) {\n  debug('readable nexttick read 0');\n  self.read(0);\n}\n\n// pause() and resume() are remnants of the legacy readable stream API\n// If the user uses them, then switch into old mode.\nReadable.prototype.resume = function () {\n  var state = this._readableState;\n  if (!state.flowing) {\n    debug('resume');\n    state.flowing = true;\n    resume(this, state);\n  }\n  return this;\n};\n\nfunction resume(stream, state) {\n  if (!state.resumeScheduled) {\n    state.resumeScheduled = true;\n    pna.nextTick(resume_, stream, state);\n  }\n}\n\nfunction resume_(stream, state) {\n  if (!state.reading) {\n    debug('resume read 0');\n    stream.read(0);\n  }\n\n  state.resumeScheduled = false;\n  state.awaitDrain = 0;\n  stream.emit('resume');\n  flow(stream);\n  if (state.flowing && !state.reading) stream.read(0);\n}\n\nReadable.prototype.pause = function () {\n  debug('call pause flowing=%j', this._readableState.flowing);\n  if (false !== this._readableState.flowing) {\n    debug('pause');\n    this._readableState.flowing = false;\n    this.emit('pause');\n  }\n  return this;\n};\n\nfunction flow(stream) {\n  var state = stream._readableState;\n  debug('flow', state.flowing);\n  while (state.flowing && stream.read() !== null) {}\n}\n\n// wrap an old-style stream as the async data source.\n// This is *not* part of the readable stream interface.\n// It is an ugly unfortunate mess of history.\nReadable.prototype.wrap = function (stream) {\n  var _this = this;\n\n  var state = this._readableState;\n  var paused = false;\n\n  stream.on('end', function () {\n    debug('wrapped end');\n    if (state.decoder && !state.ended) {\n      var chunk = state.decoder.end();\n      if (chunk && chunk.length) _this.push(chunk);\n    }\n\n    _this.push(null);\n  });\n\n  stream.on('data', function (chunk) {\n    debug('wrapped data');\n    if (state.decoder) chunk = state.decoder.write(chunk);\n\n    // don't skip over falsy values in objectMode\n    if (state.objectMode && (chunk === null || chunk === undefined)) return;else if (!state.objectMode && (!chunk || !chunk.length)) return;\n\n    var ret = _this.push(chunk);\n    if (!ret) {\n      paused = true;\n      stream.pause();\n    }\n  });\n\n  // proxy all the other methods.\n  // important when wrapping filters and duplexes.\n  for (var i in stream) {\n    if (this[i] === undefined && typeof stream[i] === 'function') {\n      this[i] = function (method) {\n        return function () {\n          return stream[method].apply(stream, arguments);\n        };\n      }(i);\n    }\n  }\n\n  // proxy certain important events.\n  for (var n = 0; n < kProxyEvents.length; n++) {\n    stream.on(kProxyEvents[n], this.emit.bind(this, kProxyEvents[n]));\n  }\n\n  // when we try to consume some more bytes, simply unpause the\n  // underlying stream.\n  this._read = function (n) {\n    debug('wrapped _read', n);\n    if (paused) {\n      paused = false;\n      stream.resume();\n    }\n  };\n\n  return this;\n};\n\nObject.defineProperty(Readable.prototype, 'readableHighWaterMark', {\n  // making it explicit this property is not enumerable\n  // because otherwise some prototype manipulation in\n  // userland will fail\n  enumerable: false,\n  get: function () {\n    return this._readableState.highWaterMark;\n  }\n});\n\n// exposed for testing purposes only.\nReadable._fromList = fromList;\n\n// Pluck off n bytes from an array of buffers.\n// Length is the combined lengths of all the buffers in the list.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromList(n, state) {\n  // nothing buffered\n  if (state.length === 0) return null;\n\n  var ret;\n  if (state.objectMode) ret = state.buffer.shift();else if (!n || n >= state.length) {\n    // read it all, truncate the list\n    if (state.decoder) ret = state.buffer.join('');else if (state.buffer.length === 1) ret = state.buffer.head.data;else ret = state.buffer.concat(state.length);\n    state.buffer.clear();\n  } else {\n    // read part of list\n    ret = fromListPartial(n, state.buffer, state.decoder);\n  }\n\n  return ret;\n}\n\n// Extracts only enough buffered data to satisfy the amount requested.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction fromListPartial(n, list, hasStrings) {\n  var ret;\n  if (n < list.head.data.length) {\n    // slice is the same for buffers and strings\n    ret = list.head.data.slice(0, n);\n    list.head.data = list.head.data.slice(n);\n  } else if (n === list.head.data.length) {\n    // first chunk is a perfect match\n    ret = list.shift();\n  } else {\n    // result spans more than one buffer\n    ret = hasStrings ? copyFromBufferString(n, list) : copyFromBuffer(n, list);\n  }\n  return ret;\n}\n\n// Copies a specified amount of characters from the list of buffered data\n// chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBufferString(n, list) {\n  var p = list.head;\n  var c = 1;\n  var ret = p.data;\n  n -= ret.length;\n  while (p = p.next) {\n    var str = p.data;\n    var nb = n > str.length ? str.length : n;\n    if (nb === str.length) ret += str;else ret += str.slice(0, n);\n    n -= nb;\n    if (n === 0) {\n      if (nb === str.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = str.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\n// Copies a specified amount of bytes from the list of buffered data chunks.\n// This function is designed to be inlinable, so please take care when making\n// changes to the function body.\nfunction copyFromBuffer(n, list) {\n  var ret = Buffer.allocUnsafe(n);\n  var p = list.head;\n  var c = 1;\n  p.data.copy(ret);\n  n -= p.data.length;\n  while (p = p.next) {\n    var buf = p.data;\n    var nb = n > buf.length ? buf.length : n;\n    buf.copy(ret, ret.length - n, 0, nb);\n    n -= nb;\n    if (n === 0) {\n      if (nb === buf.length) {\n        ++c;\n        if (p.next) list.head = p.next;else list.head = list.tail = null;\n      } else {\n        list.head = p;\n        p.data = buf.slice(nb);\n      }\n      break;\n    }\n    ++c;\n  }\n  list.length -= c;\n  return ret;\n}\n\nfunction endReadable(stream) {\n  var state = stream._readableState;\n\n  // If we get here before consuming all the bytes, then that is a\n  // bug in node.  Should never happen.\n  if (state.length > 0) throw new Error('\"endReadable()\" called on non-empty stream');\n\n  if (!state.endEmitted) {\n    state.ended = true;\n    pna.nextTick(endReadableNT, state, stream);\n  }\n}\n\nfunction endReadableNT(state, stream) {\n  // Check that we didn't get one last unshift.\n  if (!state.endEmitted && state.length === 0) {\n    state.endEmitted = true;\n    stream.readable = false;\n    stream.emit('end');\n  }\n}\n\nfunction indexOf(xs, x) {\n  for (var i = 0, l = xs.length; i < l; i++) {\n    if (xs[i] === x) return i;\n  }\n  return -1;\n}","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a transform stream is a readable/writable stream where you do\n// something with the data.  Sometimes it's called a \"filter\",\n// but that's not a great name for it, since that implies a thing where\n// some bits pass through, and others are simply ignored.  (That would\n// be a valid example of a transform, of course.)\n//\n// While the output is causally related to the input, it's not a\n// necessarily symmetric or synchronous transformation.  For example,\n// a zlib stream might take multiple plain-text writes(), and then\n// emit a single compressed chunk some time in the future.\n//\n// Here's how this works:\n//\n// The Transform stream has all the aspects of the readable and writable\n// stream classes.  When you write(chunk), that calls _write(chunk,cb)\n// internally, and returns false if there's a lot of pending writes\n// buffered up.  When you call read(), that calls _read(n) until\n// there's enough pending readable data buffered up.\n//\n// In a transform stream, the written data is placed in a buffer.  When\n// _read(n) is called, it transforms the queued up data, calling the\n// buffered _write cb's as it consumes chunks.  If consuming a single\n// written chunk would result in multiple output chunks, then the first\n// outputted bit calls the readcb, and subsequent chunks just go into\n// the read buffer, and will cause it to emit 'readable' if necessary.\n//\n// This way, back-pressure is actually determined by the reading side,\n// since _read has to be called to start processing a new chunk.  However,\n// a pathological inflate type of transform can cause excessive buffering\n// here.  For example, imagine a stream where every byte of input is\n// interpreted as an integer from 0-255, and then results in that many\n// bytes of output.  Writing the 4 bytes {ff,ff,ff,ff} would result in\n// 1kb of data being output.  In this case, you could write a very small\n// amount of input, and end up with a very large amount of output.  In\n// such a pathological inflating mechanism, there'd be no way to tell\n// the system to stop doing the transform.  A single 4MB write could\n// cause the system to run out of memory.\n//\n// However, even in such a pathological case, only a single written chunk\n// would be consumed, and then the rest would wait (un-transformed) until\n// the results of the previous transformed chunk were consumed.\n\n'use strict';\n\nmodule.exports = Transform;\n\nvar Duplex = require('./_stream_duplex');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(Transform, Duplex);\n\nfunction afterTransform(er, data) {\n  var ts = this._transformState;\n  ts.transforming = false;\n\n  var cb = ts.writecb;\n\n  if (!cb) {\n    return this.emit('error', new Error('write callback called multiple times'));\n  }\n\n  ts.writechunk = null;\n  ts.writecb = null;\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    this.push(data);\n\n  cb(er);\n\n  var rs = this._readableState;\n  rs.reading = false;\n  if (rs.needReadable || rs.length < rs.highWaterMark) {\n    this._read(rs.highWaterMark);\n  }\n}\n\nfunction Transform(options) {\n  if (!(this instanceof Transform)) return new Transform(options);\n\n  Duplex.call(this, options);\n\n  this._transformState = {\n    afterTransform: afterTransform.bind(this),\n    needTransform: false,\n    transforming: false,\n    writecb: null,\n    writechunk: null,\n    writeencoding: null\n  };\n\n  // start out asking for a readable event once data is transformed.\n  this._readableState.needReadable = true;\n\n  // we have implemented the _read method, and done the other things\n  // that Readable wants before the first _read call, so unset the\n  // sync guard flag.\n  this._readableState.sync = false;\n\n  if (options) {\n    if (typeof options.transform === 'function') this._transform = options.transform;\n\n    if (typeof options.flush === 'function') this._flush = options.flush;\n  }\n\n  // When the writable side finishes, then flush out anything remaining.\n  this.on('prefinish', prefinish);\n}\n\nfunction prefinish() {\n  var _this = this;\n\n  if (typeof this._flush === 'function') {\n    this._flush(function (er, data) {\n      done(_this, er, data);\n    });\n  } else {\n    done(this, null, null);\n  }\n}\n\nTransform.prototype.push = function (chunk, encoding) {\n  this._transformState.needTransform = false;\n  return Duplex.prototype.push.call(this, chunk, encoding);\n};\n\n// This is the part where you do stuff!\n// override this function in implementation classes.\n// 'chunk' is an input chunk.\n//\n// Call `push(newChunk)` to pass along transformed output\n// to the readable side.  You may call 'push' zero or more times.\n//\n// Call `cb(err)` when you are done with this chunk.  If you pass\n// an error, then that'll put the hurt on the whole operation.  If you\n// never call cb(), then you'll never get another chunk.\nTransform.prototype._transform = function (chunk, encoding, cb) {\n  throw new Error('_transform() is not implemented');\n};\n\nTransform.prototype._write = function (chunk, encoding, cb) {\n  var ts = this._transformState;\n  ts.writecb = cb;\n  ts.writechunk = chunk;\n  ts.writeencoding = encoding;\n  if (!ts.transforming) {\n    var rs = this._readableState;\n    if (ts.needTransform || rs.needReadable || rs.length < rs.highWaterMark) this._read(rs.highWaterMark);\n  }\n};\n\n// Doesn't matter what the args are here.\n// _transform does all the work.\n// That we got here means that the readable side wants more data.\nTransform.prototype._read = function (n) {\n  var ts = this._transformState;\n\n  if (ts.writechunk !== null && ts.writecb && !ts.transforming) {\n    ts.transforming = true;\n    this._transform(ts.writechunk, ts.writeencoding, ts.afterTransform);\n  } else {\n    // mark that we need a transform, so that any data that comes in\n    // will get processed, now that we've asked for it.\n    ts.needTransform = true;\n  }\n};\n\nTransform.prototype._destroy = function (err, cb) {\n  var _this2 = this;\n\n  Duplex.prototype._destroy.call(this, err, function (err2) {\n    cb(err2);\n    _this2.emit('close');\n  });\n};\n\nfunction done(stream, er, data) {\n  if (er) return stream.emit('error', er);\n\n  if (data != null) // single equals check for both `null` and `undefined`\n    stream.push(data);\n\n  // if there's nothing in the write buffer, then that means\n  // that nothing more will ever be provided\n  if (stream._writableState.length) throw new Error('Calling transform done when ws.length != 0');\n\n  if (stream._transformState.transforming) throw new Error('Calling transform done when still transforming');\n\n  return stream.push(null);\n}","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n// a passthrough stream.\n// basically just the most minimal sort of Transform stream.\n// Every written chunk gets output as-is.\n\n'use strict';\n\nmodule.exports = PassThrough;\n\nvar Transform = require('./_stream_transform');\n\n/*<replacement>*/\nvar util = require('core-util-is');\nutil.inherits = require('inherits');\n/*</replacement>*/\n\nutil.inherits(PassThrough, Transform);\n\nfunction PassThrough(options) {\n  if (!(this instanceof PassThrough)) return new PassThrough(options);\n\n  Transform.call(this, options);\n}\n\nPassThrough.prototype._transform = function (chunk, encoding, cb) {\n  cb(null, chunk);\n};","exports = module.exports = require('./lib/_stream_readable.js');\nexports.Stream = exports;\nexports.Readable = exports;\nexports.Writable = require('./lib/_stream_writable.js');\nexports.Duplex = require('./lib/_stream_duplex.js');\nexports.Transform = require('./lib/_stream_transform.js');\nexports.PassThrough = require('./lib/_stream_passthrough.js');\n","module.exports = require('./lib/_stream_writable.js');\n","module.exports = require('./lib/_stream_duplex.js');\n","module.exports = require('./readable').Transform\n","module.exports = require('./readable').PassThrough\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nmodule.exports = Stream;\n\nvar EE = require('events').EventEmitter;\nvar inherits = require('inherits');\n\ninherits(Stream, EE);\nStream.Readable = require('readable-stream/readable.js');\nStream.Writable = require('readable-stream/writable.js');\nStream.Duplex = require('readable-stream/duplex.js');\nStream.Transform = require('readable-stream/transform.js');\nStream.PassThrough = require('readable-stream/passthrough.js');\n\n// Backwards-compat with node 0.4.x\nStream.Stream = Stream;\n\n\n\n// old-style streams.  Note that the pipe method (the only relevant\n// part of this class) is overridden in the Readable class.\n\nfunction Stream() {\n  EE.call(this);\n}\n\nStream.prototype.pipe = function(dest, options) {\n  var source = this;\n\n  function ondata(chunk) {\n    if (dest.writable) {\n      if (false === dest.write(chunk) && source.pause) {\n        source.pause();\n      }\n    }\n  }\n\n  source.on('data', ondata);\n\n  function ondrain() {\n    if (source.readable && source.resume) {\n      source.resume();\n    }\n  }\n\n  dest.on('drain', ondrain);\n\n  // If the 'end' option is not supplied, dest.end() will be called when\n  // source gets the 'end' or 'close' events.  Only dest.end() once.\n  if (!dest._isStdio && (!options || options.end !== false)) {\n    source.on('end', onend);\n    source.on('close', onclose);\n  }\n\n  var didOnEnd = false;\n  function onend() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    dest.end();\n  }\n\n\n  function onclose() {\n    if (didOnEnd) return;\n    didOnEnd = true;\n\n    if (typeof dest.destroy === 'function') dest.destroy();\n  }\n\n  // don't leave dangling pipes when there are errors.\n  function onerror(er) {\n    cleanup();\n    if (EE.listenerCount(this, 'error') === 0) {\n      throw er; // Unhandled stream error in pipe.\n    }\n  }\n\n  source.on('error', onerror);\n  dest.on('error', onerror);\n\n  // remove all the event listeners that were added.\n  function cleanup() {\n    source.removeListener('data', ondata);\n    dest.removeListener('drain', ondrain);\n\n    source.removeListener('end', onend);\n    source.removeListener('close', onclose);\n\n    source.removeListener('error', onerror);\n    dest.removeListener('error', onerror);\n\n    source.removeListener('end', cleanup);\n    source.removeListener('close', cleanup);\n\n    dest.removeListener('close', cleanup);\n  }\n\n  source.on('end', cleanup);\n  source.on('close', cleanup);\n\n  dest.on('close', cleanup);\n\n  dest.emit('pipe', source);\n\n  // Allow for unix-like usage: A.pipe(B).pipe(C)\n  return dest;\n};\n","'use strict'\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar inherits = require('inherits')\n\nfunction throwIfNotStringOrBuffer (val, prefix) {\n  if (!Buffer.isBuffer(val) && typeof val !== 'string') {\n    throw new TypeError(prefix + ' must be a string or a buffer')\n  }\n}\n\nfunction HashBase (blockSize) {\n  Transform.call(this)\n\n  this._block = Buffer.allocUnsafe(blockSize)\n  this._blockSize = blockSize\n  this._blockOffset = 0\n  this._length = [0, 0, 0, 0]\n\n  this._finalized = false\n}\n\ninherits(HashBase, Transform)\n\nHashBase.prototype._transform = function (chunk, encoding, callback) {\n  var error = null\n  try {\n    this.update(chunk, encoding)\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype._flush = function (callback) {\n  var error = null\n  try {\n    this.push(this.digest())\n  } catch (err) {\n    error = err\n  }\n\n  callback(error)\n}\n\nHashBase.prototype.update = function (data, encoding) {\n  throwIfNotStringOrBuffer(data, 'Data')\n  if (this._finalized) throw new Error('Digest already called')\n  if (!Buffer.isBuffer(data)) data = Buffer.from(data, encoding)\n\n  // consume data\n  var block = this._block\n  var offset = 0\n  while (this._blockOffset + data.length - offset >= this._blockSize) {\n    for (var i = this._blockOffset; i < this._blockSize;) block[i++] = data[offset++]\n    this._update()\n    this._blockOffset = 0\n  }\n  while (offset < data.length) block[this._blockOffset++] = data[offset++]\n\n  // update length\n  for (var j = 0, carry = data.length * 8; carry > 0; ++j) {\n    this._length[j] += carry\n    carry = (this._length[j] / 0x0100000000) | 0\n    if (carry > 0) this._length[j] -= 0x0100000000 * carry\n  }\n\n  return this\n}\n\nHashBase.prototype._update = function () {\n  throw new Error('_update is not implemented')\n}\n\nHashBase.prototype.digest = function (encoding) {\n  if (this._finalized) throw new Error('Digest already called')\n  this._finalized = true\n\n  var digest = this._digest()\n  if (encoding !== undefined) digest = digest.toString(encoding)\n\n  // reset state\n  this._block.fill(0)\n  this._blockOffset = 0\n  for (var i = 0; i < 4; ++i) this._length[i] = 0\n\n  return digest\n}\n\nHashBase.prototype._digest = function () {\n  throw new Error('_digest is not implemented')\n}\n\nmodule.exports = HashBase\n","'use strict'\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\n\nvar ARRAY16 = new Array(16)\n\nfunction MD5 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n}\n\ninherits(MD5, HashBase)\n\nMD5.prototype._update = function () {\n  var M = ARRAY16\n  for (var i = 0; i < 16; ++i) M[i] = this._block.readInt32LE(i * 4)\n\n  var a = this._a\n  var b = this._b\n  var c = this._c\n  var d = this._d\n\n  a = fnF(a, b, c, d, M[0], 0xd76aa478, 7)\n  d = fnF(d, a, b, c, M[1], 0xe8c7b756, 12)\n  c = fnF(c, d, a, b, M[2], 0x242070db, 17)\n  b = fnF(b, c, d, a, M[3], 0xc1bdceee, 22)\n  a = fnF(a, b, c, d, M[4], 0xf57c0faf, 7)\n  d = fnF(d, a, b, c, M[5], 0x4787c62a, 12)\n  c = fnF(c, d, a, b, M[6], 0xa8304613, 17)\n  b = fnF(b, c, d, a, M[7], 0xfd469501, 22)\n  a = fnF(a, b, c, d, M[8], 0x698098d8, 7)\n  d = fnF(d, a, b, c, M[9], 0x8b44f7af, 12)\n  c = fnF(c, d, a, b, M[10], 0xffff5bb1, 17)\n  b = fnF(b, c, d, a, M[11], 0x895cd7be, 22)\n  a = fnF(a, b, c, d, M[12], 0x6b901122, 7)\n  d = fnF(d, a, b, c, M[13], 0xfd987193, 12)\n  c = fnF(c, d, a, b, M[14], 0xa679438e, 17)\n  b = fnF(b, c, d, a, M[15], 0x49b40821, 22)\n\n  a = fnG(a, b, c, d, M[1], 0xf61e2562, 5)\n  d = fnG(d, a, b, c, M[6], 0xc040b340, 9)\n  c = fnG(c, d, a, b, M[11], 0x265e5a51, 14)\n  b = fnG(b, c, d, a, M[0], 0xe9b6c7aa, 20)\n  a = fnG(a, b, c, d, M[5], 0xd62f105d, 5)\n  d = fnG(d, a, b, c, M[10], 0x02441453, 9)\n  c = fnG(c, d, a, b, M[15], 0xd8a1e681, 14)\n  b = fnG(b, c, d, a, M[4], 0xe7d3fbc8, 20)\n  a = fnG(a, b, c, d, M[9], 0x21e1cde6, 5)\n  d = fnG(d, a, b, c, M[14], 0xc33707d6, 9)\n  c = fnG(c, d, a, b, M[3], 0xf4d50d87, 14)\n  b = fnG(b, c, d, a, M[8], 0x455a14ed, 20)\n  a = fnG(a, b, c, d, M[13], 0xa9e3e905, 5)\n  d = fnG(d, a, b, c, M[2], 0xfcefa3f8, 9)\n  c = fnG(c, d, a, b, M[7], 0x676f02d9, 14)\n  b = fnG(b, c, d, a, M[12], 0x8d2a4c8a, 20)\n\n  a = fnH(a, b, c, d, M[5], 0xfffa3942, 4)\n  d = fnH(d, a, b, c, M[8], 0x8771f681, 11)\n  c = fnH(c, d, a, b, M[11], 0x6d9d6122, 16)\n  b = fnH(b, c, d, a, M[14], 0xfde5380c, 23)\n  a = fnH(a, b, c, d, M[1], 0xa4beea44, 4)\n  d = fnH(d, a, b, c, M[4], 0x4bdecfa9, 11)\n  c = fnH(c, d, a, b, M[7], 0xf6bb4b60, 16)\n  b = fnH(b, c, d, a, M[10], 0xbebfbc70, 23)\n  a = fnH(a, b, c, d, M[13], 0x289b7ec6, 4)\n  d = fnH(d, a, b, c, M[0], 0xeaa127fa, 11)\n  c = fnH(c, d, a, b, M[3], 0xd4ef3085, 16)\n  b = fnH(b, c, d, a, M[6], 0x04881d05, 23)\n  a = fnH(a, b, c, d, M[9], 0xd9d4d039, 4)\n  d = fnH(d, a, b, c, M[12], 0xe6db99e5, 11)\n  c = fnH(c, d, a, b, M[15], 0x1fa27cf8, 16)\n  b = fnH(b, c, d, a, M[2], 0xc4ac5665, 23)\n\n  a = fnI(a, b, c, d, M[0], 0xf4292244, 6)\n  d = fnI(d, a, b, c, M[7], 0x432aff97, 10)\n  c = fnI(c, d, a, b, M[14], 0xab9423a7, 15)\n  b = fnI(b, c, d, a, M[5], 0xfc93a039, 21)\n  a = fnI(a, b, c, d, M[12], 0x655b59c3, 6)\n  d = fnI(d, a, b, c, M[3], 0x8f0ccc92, 10)\n  c = fnI(c, d, a, b, M[10], 0xffeff47d, 15)\n  b = fnI(b, c, d, a, M[1], 0x85845dd1, 21)\n  a = fnI(a, b, c, d, M[8], 0x6fa87e4f, 6)\n  d = fnI(d, a, b, c, M[15], 0xfe2ce6e0, 10)\n  c = fnI(c, d, a, b, M[6], 0xa3014314, 15)\n  b = fnI(b, c, d, a, M[13], 0x4e0811a1, 21)\n  a = fnI(a, b, c, d, M[4], 0xf7537e82, 6)\n  d = fnI(d, a, b, c, M[11], 0xbd3af235, 10)\n  c = fnI(c, d, a, b, M[2], 0x2ad7d2bb, 15)\n  b = fnI(b, c, d, a, M[9], 0xeb86d391, 21)\n\n  this._a = (this._a + a) | 0\n  this._b = (this._b + b) | 0\n  this._c = (this._c + c) | 0\n  this._d = (this._d + d) | 0\n}\n\nMD5.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = new Buffer(16)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fnF (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnG (a, b, c, d, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnH (a, b, c, d, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + b) | 0\n}\n\nfunction fnI (a, b, c, d, m, k, s) {\n  return (rotl((a + ((c ^ (b | (~d)))) + m + k) | 0, s) + b) | 0\n}\n\nmodule.exports = MD5\n","'use strict'\nvar Buffer = require('buffer').Buffer\nvar inherits = require('inherits')\nvar HashBase = require('hash-base')\n\nvar ARRAY16 = new Array(16)\n\nvar zl = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n]\n\nvar zr = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n]\n\nvar sl = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n]\n\nvar sr = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n]\n\nvar hl = [0x00000000, 0x5a827999, 0x6ed9eba1, 0x8f1bbcdc, 0xa953fd4e]\nvar hr = [0x50a28be6, 0x5c4dd124, 0x6d703ef3, 0x7a6d76e9, 0x00000000]\n\nfunction RIPEMD160 () {\n  HashBase.call(this, 64)\n\n  // state\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n}\n\ninherits(RIPEMD160, HashBase)\n\nRIPEMD160.prototype._update = function () {\n  var words = ARRAY16\n  for (var j = 0; j < 16; ++j) words[j] = this._block.readInt32LE(j * 4)\n\n  var al = this._a | 0\n  var bl = this._b | 0\n  var cl = this._c | 0\n  var dl = this._d | 0\n  var el = this._e | 0\n\n  var ar = this._a | 0\n  var br = this._b | 0\n  var cr = this._c | 0\n  var dr = this._d | 0\n  var er = this._e | 0\n\n  // computation\n  for (var i = 0; i < 80; i += 1) {\n    var tl\n    var tr\n    if (i < 16) {\n      tl = fn1(al, bl, cl, dl, el, words[zl[i]], hl[0], sl[i])\n      tr = fn5(ar, br, cr, dr, er, words[zr[i]], hr[0], sr[i])\n    } else if (i < 32) {\n      tl = fn2(al, bl, cl, dl, el, words[zl[i]], hl[1], sl[i])\n      tr = fn4(ar, br, cr, dr, er, words[zr[i]], hr[1], sr[i])\n    } else if (i < 48) {\n      tl = fn3(al, bl, cl, dl, el, words[zl[i]], hl[2], sl[i])\n      tr = fn3(ar, br, cr, dr, er, words[zr[i]], hr[2], sr[i])\n    } else if (i < 64) {\n      tl = fn4(al, bl, cl, dl, el, words[zl[i]], hl[3], sl[i])\n      tr = fn2(ar, br, cr, dr, er, words[zr[i]], hr[3], sr[i])\n    } else { // if (i<80) {\n      tl = fn5(al, bl, cl, dl, el, words[zl[i]], hl[4], sl[i])\n      tr = fn1(ar, br, cr, dr, er, words[zr[i]], hr[4], sr[i])\n    }\n\n    al = el\n    el = dl\n    dl = rotl(cl, 10)\n    cl = bl\n    bl = tl\n\n    ar = er\n    er = dr\n    dr = rotl(cr, 10)\n    cr = br\n    br = tr\n  }\n\n  // update state\n  var t = (this._b + cl + dr) | 0\n  this._b = (this._c + dl + er) | 0\n  this._c = (this._d + el + ar) | 0\n  this._d = (this._e + al + br) | 0\n  this._e = (this._a + bl + cr) | 0\n  this._a = t\n}\n\nRIPEMD160.prototype._digest = function () {\n  // create padding and handle blocks\n  this._block[this._blockOffset++] = 0x80\n  if (this._blockOffset > 56) {\n    this._block.fill(0, this._blockOffset, 64)\n    this._update()\n    this._blockOffset = 0\n  }\n\n  this._block.fill(0, this._blockOffset, 56)\n  this._block.writeUInt32LE(this._length[0], 56)\n  this._block.writeUInt32LE(this._length[1], 60)\n  this._update()\n\n  // produce result\n  var buffer = Buffer.alloc ? Buffer.alloc(20) : new Buffer(20)\n  buffer.writeInt32LE(this._a, 0)\n  buffer.writeInt32LE(this._b, 4)\n  buffer.writeInt32LE(this._c, 8)\n  buffer.writeInt32LE(this._d, 12)\n  buffer.writeInt32LE(this._e, 16)\n  return buffer\n}\n\nfunction rotl (x, n) {\n  return (x << n) | (x >>> (32 - n))\n}\n\nfunction fn1 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ c ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn2 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & c) | ((~b) & d)) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn3 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b | (~c)) ^ d) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn4 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + ((b & d) | (c & (~d))) + m + k) | 0, s) + e) | 0\n}\n\nfunction fn5 (a, b, c, d, e, m, k, s) {\n  return (rotl((a + (b ^ (c | (~d))) + m + k) | 0, s) + e) | 0\n}\n\nmodule.exports = RIPEMD160\n","var Buffer = require('safe-buffer').Buffer\n\n// prototype class for hash functions\nfunction Hash (blockSize, finalSize) {\n  this._block = Buffer.alloc(blockSize)\n  this._finalSize = finalSize\n  this._blockSize = blockSize\n  this._len = 0\n}\n\nHash.prototype.update = function (data, enc) {\n  if (typeof data === 'string') {\n    enc = enc || 'utf8'\n    data = Buffer.from(data, enc)\n  }\n\n  var block = this._block\n  var blockSize = this._blockSize\n  var length = data.length\n  var accum = this._len\n\n  for (var offset = 0; offset < length;) {\n    var assigned = accum % blockSize\n    var remainder = Math.min(length - offset, blockSize - assigned)\n\n    for (var i = 0; i < remainder; i++) {\n      block[assigned + i] = data[offset + i]\n    }\n\n    accum += remainder\n    offset += remainder\n\n    if ((accum % blockSize) === 0) {\n      this._update(block)\n    }\n  }\n\n  this._len += length\n  return this\n}\n\nHash.prototype.digest = function (enc) {\n  var rem = this._len % this._blockSize\n\n  this._block[rem] = 0x80\n\n  // zero (rem + 1) trailing bits, where (rem + 1) is the smallest\n  // non-negative solution to the equation (length + 1 + (rem + 1)) === finalSize mod blockSize\n  this._block.fill(0, rem + 1)\n\n  if (rem >= this._finalSize) {\n    this._update(this._block)\n    this._block.fill(0)\n  }\n\n  var bits = this._len * 8\n\n  // uint32\n  if (bits <= 0xffffffff) {\n    this._block.writeUInt32BE(bits, this._blockSize - 4)\n\n  // uint64\n  } else {\n    var lowBits = (bits & 0xffffffff) >>> 0\n    var highBits = (bits - lowBits) / 0x100000000\n\n    this._block.writeUInt32BE(highBits, this._blockSize - 8)\n    this._block.writeUInt32BE(lowBits, this._blockSize - 4)\n  }\n\n  this._update(this._block)\n  var hash = this._hash()\n\n  return enc ? hash.toString(enc) : hash\n}\n\nHash.prototype._update = function () {\n  throw new Error('_update must be implemented by subclass')\n}\n\nmodule.exports = Hash\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-0, as defined\n * in FIPS PUB 180-1\n * This source code is derived from sha1.js of the same repository.\n * The difference between SHA-0 and SHA-1 is just a bitwise rotate left\n * operation was added.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha, Hash)\n\nSha.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16]\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha\n","/*\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-1, as defined\n * in FIPS PUB 180-1\n * Version 2.1a Copyright Paul Johnston 2000 - 2002.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n * Distributed under the BSD License\n * See http://pajhome.org.uk/crypt/md5 for details.\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x5a827999, 0x6ed9eba1, 0x8f1bbcdc | 0, 0xca62c1d6 | 0\n]\n\nvar W = new Array(80)\n\nfunction Sha1 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha1, Hash)\n\nSha1.prototype.init = function () {\n  this._a = 0x67452301\n  this._b = 0xefcdab89\n  this._c = 0x98badcfe\n  this._d = 0x10325476\n  this._e = 0xc3d2e1f0\n\n  return this\n}\n\nfunction rotl1 (num) {\n  return (num << 1) | (num >>> 31)\n}\n\nfunction rotl5 (num) {\n  return (num << 5) | (num >>> 27)\n}\n\nfunction rotl30 (num) {\n  return (num << 30) | (num >>> 2)\n}\n\nfunction ft (s, b, c, d) {\n  if (s === 0) return (b & c) | ((~b) & d)\n  if (s === 2) return (b & c) | (b & d) | (c & d)\n  return b ^ c ^ d\n}\n\nSha1.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 80; ++i) W[i] = rotl1(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16])\n\n  for (var j = 0; j < 80; ++j) {\n    var s = ~~(j / 20)\n    var t = (rotl5(a) + ft(s, b, c, d) + e + W[j] + K[s]) | 0\n\n    e = d\n    d = c\n    c = rotl30(b)\n    b = a\n    a = t\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n}\n\nSha1.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(20)\n\n  H.writeInt32BE(this._a | 0, 0)\n  H.writeInt32BE(this._b | 0, 4)\n  H.writeInt32BE(this._c | 0, 8)\n  H.writeInt32BE(this._d | 0, 12)\n  H.writeInt32BE(this._e | 0, 16)\n\n  return H\n}\n\nmodule.exports = Sha1\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428A2F98, 0x71374491, 0xB5C0FBCF, 0xE9B5DBA5,\n  0x3956C25B, 0x59F111F1, 0x923F82A4, 0xAB1C5ED5,\n  0xD807AA98, 0x12835B01, 0x243185BE, 0x550C7DC3,\n  0x72BE5D74, 0x80DEB1FE, 0x9BDC06A7, 0xC19BF174,\n  0xE49B69C1, 0xEFBE4786, 0x0FC19DC6, 0x240CA1CC,\n  0x2DE92C6F, 0x4A7484AA, 0x5CB0A9DC, 0x76F988DA,\n  0x983E5152, 0xA831C66D, 0xB00327C8, 0xBF597FC7,\n  0xC6E00BF3, 0xD5A79147, 0x06CA6351, 0x14292967,\n  0x27B70A85, 0x2E1B2138, 0x4D2C6DFC, 0x53380D13,\n  0x650A7354, 0x766A0ABB, 0x81C2C92E, 0x92722C85,\n  0xA2BFE8A1, 0xA81A664B, 0xC24B8B70, 0xC76C51A3,\n  0xD192E819, 0xD6990624, 0xF40E3585, 0x106AA070,\n  0x19A4C116, 0x1E376C08, 0x2748774C, 0x34B0BCB5,\n  0x391C0CB3, 0x4ED8AA4A, 0x5B9CCA4F, 0x682E6FF3,\n  0x748F82EE, 0x78A5636F, 0x84C87814, 0x8CC70208,\n  0x90BEFFFA, 0xA4506CEB, 0xBEF9A3F7, 0xC67178F2\n]\n\nvar W = new Array(64)\n\nfunction Sha256 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha256, Hash)\n\nSha256.prototype.init = function () {\n  this._a = 0x6a09e667\n  this._b = 0xbb67ae85\n  this._c = 0x3c6ef372\n  this._d = 0xa54ff53a\n  this._e = 0x510e527f\n  this._f = 0x9b05688c\n  this._g = 0x1f83d9ab\n  this._h = 0x5be0cd19\n\n  return this\n}\n\nfunction ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x) {\n  return (x >>> 2 | x << 30) ^ (x >>> 13 | x << 19) ^ (x >>> 22 | x << 10)\n}\n\nfunction sigma1 (x) {\n  return (x >>> 6 | x << 26) ^ (x >>> 11 | x << 21) ^ (x >>> 25 | x << 7)\n}\n\nfunction gamma0 (x) {\n  return (x >>> 7 | x << 25) ^ (x >>> 18 | x << 14) ^ (x >>> 3)\n}\n\nfunction gamma1 (x) {\n  return (x >>> 17 | x << 15) ^ (x >>> 19 | x << 13) ^ (x >>> 10)\n}\n\nSha256.prototype._update = function (M) {\n  var W = this._w\n\n  var a = this._a | 0\n  var b = this._b | 0\n  var c = this._c | 0\n  var d = this._d | 0\n  var e = this._e | 0\n  var f = this._f | 0\n  var g = this._g | 0\n  var h = this._h | 0\n\n  for (var i = 0; i < 16; ++i) W[i] = M.readInt32BE(i * 4)\n  for (; i < 64; ++i) W[i] = (gamma1(W[i - 2]) + W[i - 7] + gamma0(W[i - 15]) + W[i - 16]) | 0\n\n  for (var j = 0; j < 64; ++j) {\n    var T1 = (h + sigma1(e) + ch(e, f, g) + K[j] + W[j]) | 0\n    var T2 = (sigma0(a) + maj(a, b, c)) | 0\n\n    h = g\n    g = f\n    f = e\n    e = (d + T1) | 0\n    d = c\n    c = b\n    b = a\n    a = (T1 + T2) | 0\n  }\n\n  this._a = (a + this._a) | 0\n  this._b = (b + this._b) | 0\n  this._c = (c + this._c) | 0\n  this._d = (d + this._d) | 0\n  this._e = (e + this._e) | 0\n  this._f = (f + this._f) | 0\n  this._g = (g + this._g) | 0\n  this._h = (h + this._h) | 0\n}\n\nSha256.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(32)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n  H.writeInt32BE(this._h, 28)\n\n  return H\n}\n\nmodule.exports = Sha256\n","/**\n * A JavaScript implementation of the Secure Hash Algorithm, SHA-256, as defined\n * in FIPS 180-2\n * Version 2.2-beta Copyright Angel Marin, Paul Johnston 2000 - 2009.\n * Other contributors: Greg Holt, Andrew Kepert, Ydnar, Lostinet\n *\n */\n\nvar inherits = require('inherits')\nvar Sha256 = require('./sha256')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(64)\n\nfunction Sha224 () {\n  this.init()\n\n  this._w = W // new Array(64)\n\n  Hash.call(this, 64, 56)\n}\n\ninherits(Sha224, Sha256)\n\nSha224.prototype.init = function () {\n  this._a = 0xc1059ed8\n  this._b = 0x367cd507\n  this._c = 0x3070dd17\n  this._d = 0xf70e5939\n  this._e = 0xffc00b31\n  this._f = 0x68581511\n  this._g = 0x64f98fa7\n  this._h = 0xbefa4fa4\n\n  return this\n}\n\nSha224.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(28)\n\n  H.writeInt32BE(this._a, 0)\n  H.writeInt32BE(this._b, 4)\n  H.writeInt32BE(this._c, 8)\n  H.writeInt32BE(this._d, 12)\n  H.writeInt32BE(this._e, 16)\n  H.writeInt32BE(this._f, 20)\n  H.writeInt32BE(this._g, 24)\n\n  return H\n}\n\nmodule.exports = Sha224\n","var inherits = require('inherits')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n]\n\nvar W = new Array(160)\n\nfunction Sha512 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha512, Hash)\n\nSha512.prototype.init = function () {\n  this._ah = 0x6a09e667\n  this._bh = 0xbb67ae85\n  this._ch = 0x3c6ef372\n  this._dh = 0xa54ff53a\n  this._eh = 0x510e527f\n  this._fh = 0x9b05688c\n  this._gh = 0x1f83d9ab\n  this._hh = 0x5be0cd19\n\n  this._al = 0xf3bcc908\n  this._bl = 0x84caa73b\n  this._cl = 0xfe94f82b\n  this._dl = 0x5f1d36f1\n  this._el = 0xade682d1\n  this._fl = 0x2b3e6c1f\n  this._gl = 0xfb41bd6b\n  this._hl = 0x137e2179\n\n  return this\n}\n\nfunction Ch (x, y, z) {\n  return z ^ (x & (y ^ z))\n}\n\nfunction maj (x, y, z) {\n  return (x & y) | (z & (x | y))\n}\n\nfunction sigma0 (x, xl) {\n  return (x >>> 28 | xl << 4) ^ (xl >>> 2 | x << 30) ^ (xl >>> 7 | x << 25)\n}\n\nfunction sigma1 (x, xl) {\n  return (x >>> 14 | xl << 18) ^ (x >>> 18 | xl << 14) ^ (xl >>> 9 | x << 23)\n}\n\nfunction Gamma0 (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7)\n}\n\nfunction Gamma0l (x, xl) {\n  return (x >>> 1 | xl << 31) ^ (x >>> 8 | xl << 24) ^ (x >>> 7 | xl << 25)\n}\n\nfunction Gamma1 (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6)\n}\n\nfunction Gamma1l (x, xl) {\n  return (x >>> 19 | xl << 13) ^ (xl >>> 29 | x << 3) ^ (x >>> 6 | xl << 26)\n}\n\nfunction getCarry (a, b) {\n  return (a >>> 0) < (b >>> 0) ? 1 : 0\n}\n\nSha512.prototype._update = function (M) {\n  var W = this._w\n\n  var ah = this._ah | 0\n  var bh = this._bh | 0\n  var ch = this._ch | 0\n  var dh = this._dh | 0\n  var eh = this._eh | 0\n  var fh = this._fh | 0\n  var gh = this._gh | 0\n  var hh = this._hh | 0\n\n  var al = this._al | 0\n  var bl = this._bl | 0\n  var cl = this._cl | 0\n  var dl = this._dl | 0\n  var el = this._el | 0\n  var fl = this._fl | 0\n  var gl = this._gl | 0\n  var hl = this._hl | 0\n\n  for (var i = 0; i < 32; i += 2) {\n    W[i] = M.readInt32BE(i * 4)\n    W[i + 1] = M.readInt32BE(i * 4 + 4)\n  }\n  for (; i < 160; i += 2) {\n    var xh = W[i - 15 * 2]\n    var xl = W[i - 15 * 2 + 1]\n    var gamma0 = Gamma0(xh, xl)\n    var gamma0l = Gamma0l(xl, xh)\n\n    xh = W[i - 2 * 2]\n    xl = W[i - 2 * 2 + 1]\n    var gamma1 = Gamma1(xh, xl)\n    var gamma1l = Gamma1l(xl, xh)\n\n    // W[i] = gamma0 + W[i - 7] + gamma1 + W[i - 16]\n    var Wi7h = W[i - 7 * 2]\n    var Wi7l = W[i - 7 * 2 + 1]\n\n    var Wi16h = W[i - 16 * 2]\n    var Wi16l = W[i - 16 * 2 + 1]\n\n    var Wil = (gamma0l + Wi7l) | 0\n    var Wih = (gamma0 + Wi7h + getCarry(Wil, gamma0l)) | 0\n    Wil = (Wil + gamma1l) | 0\n    Wih = (Wih + gamma1 + getCarry(Wil, gamma1l)) | 0\n    Wil = (Wil + Wi16l) | 0\n    Wih = (Wih + Wi16h + getCarry(Wil, Wi16l)) | 0\n\n    W[i] = Wih\n    W[i + 1] = Wil\n  }\n\n  for (var j = 0; j < 160; j += 2) {\n    Wih = W[j]\n    Wil = W[j + 1]\n\n    var majh = maj(ah, bh, ch)\n    var majl = maj(al, bl, cl)\n\n    var sigma0h = sigma0(ah, al)\n    var sigma0l = sigma0(al, ah)\n    var sigma1h = sigma1(eh, el)\n    var sigma1l = sigma1(el, eh)\n\n    // t1 = h + sigma1 + ch + K[j] + W[j]\n    var Kih = K[j]\n    var Kil = K[j + 1]\n\n    var chh = Ch(eh, fh, gh)\n    var chl = Ch(el, fl, gl)\n\n    var t1l = (hl + sigma1l) | 0\n    var t1h = (hh + sigma1h + getCarry(t1l, hl)) | 0\n    t1l = (t1l + chl) | 0\n    t1h = (t1h + chh + getCarry(t1l, chl)) | 0\n    t1l = (t1l + Kil) | 0\n    t1h = (t1h + Kih + getCarry(t1l, Kil)) | 0\n    t1l = (t1l + Wil) | 0\n    t1h = (t1h + Wih + getCarry(t1l, Wil)) | 0\n\n    // t2 = sigma0 + maj\n    var t2l = (sigma0l + majl) | 0\n    var t2h = (sigma0h + majh + getCarry(t2l, sigma0l)) | 0\n\n    hh = gh\n    hl = gl\n    gh = fh\n    gl = fl\n    fh = eh\n    fl = el\n    el = (dl + t1l) | 0\n    eh = (dh + t1h + getCarry(el, dl)) | 0\n    dh = ch\n    dl = cl\n    ch = bh\n    cl = bl\n    bh = ah\n    bl = al\n    al = (t1l + t2l) | 0\n    ah = (t1h + t2h + getCarry(al, t1l)) | 0\n  }\n\n  this._al = (this._al + al) | 0\n  this._bl = (this._bl + bl) | 0\n  this._cl = (this._cl + cl) | 0\n  this._dl = (this._dl + dl) | 0\n  this._el = (this._el + el) | 0\n  this._fl = (this._fl + fl) | 0\n  this._gl = (this._gl + gl) | 0\n  this._hl = (this._hl + hl) | 0\n\n  this._ah = (this._ah + ah + getCarry(this._al, al)) | 0\n  this._bh = (this._bh + bh + getCarry(this._bl, bl)) | 0\n  this._ch = (this._ch + ch + getCarry(this._cl, cl)) | 0\n  this._dh = (this._dh + dh + getCarry(this._dl, dl)) | 0\n  this._eh = (this._eh + eh + getCarry(this._el, el)) | 0\n  this._fh = (this._fh + fh + getCarry(this._fl, fl)) | 0\n  this._gh = (this._gh + gh + getCarry(this._gl, gl)) | 0\n  this._hh = (this._hh + hh + getCarry(this._hl, hl)) | 0\n}\n\nSha512.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(64)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n  writeInt64BE(this._gh, this._gl, 48)\n  writeInt64BE(this._hh, this._hl, 56)\n\n  return H\n}\n\nmodule.exports = Sha512\n","var inherits = require('inherits')\nvar SHA512 = require('./sha512')\nvar Hash = require('./hash')\nvar Buffer = require('safe-buffer').Buffer\n\nvar W = new Array(160)\n\nfunction Sha384 () {\n  this.init()\n  this._w = W\n\n  Hash.call(this, 128, 112)\n}\n\ninherits(Sha384, SHA512)\n\nSha384.prototype.init = function () {\n  this._ah = 0xcbbb9d5d\n  this._bh = 0x629a292a\n  this._ch = 0x9159015a\n  this._dh = 0x152fecd8\n  this._eh = 0x67332667\n  this._fh = 0x8eb44a87\n  this._gh = 0xdb0c2e0d\n  this._hh = 0x47b5481d\n\n  this._al = 0xc1059ed8\n  this._bl = 0x367cd507\n  this._cl = 0x3070dd17\n  this._dl = 0xf70e5939\n  this._el = 0xffc00b31\n  this._fl = 0x68581511\n  this._gl = 0x64f98fa7\n  this._hl = 0xbefa4fa4\n\n  return this\n}\n\nSha384.prototype._hash = function () {\n  var H = Buffer.allocUnsafe(48)\n\n  function writeInt64BE (h, l, offset) {\n    H.writeInt32BE(h, offset)\n    H.writeInt32BE(l, offset + 4)\n  }\n\n  writeInt64BE(this._ah, this._al, 0)\n  writeInt64BE(this._bh, this._bl, 8)\n  writeInt64BE(this._ch, this._cl, 16)\n  writeInt64BE(this._dh, this._dl, 24)\n  writeInt64BE(this._eh, this._el, 32)\n  writeInt64BE(this._fh, this._fl, 40)\n\n  return H\n}\n\nmodule.exports = Sha384\n","var exports = module.exports = function SHA (algorithm) {\n  algorithm = algorithm.toLowerCase()\n\n  var Algorithm = exports[algorithm]\n  if (!Algorithm) throw new Error(algorithm + ' is not supported (we accept pull requests)')\n\n  return new Algorithm()\n}\n\nexports.sha = require('./sha')\nexports.sha1 = require('./sha1')\nexports.sha224 = require('./sha224')\nexports.sha256 = require('./sha256')\nexports.sha384 = require('./sha384')\nexports.sha512 = require('./sha512')\n","var Buffer = require('safe-buffer').Buffer\nvar Transform = require('stream').Transform\nvar StringDecoder = require('string_decoder').StringDecoder\nvar inherits = require('inherits')\n\nfunction CipherBase (hashMode) {\n  Transform.call(this)\n  this.hashMode = typeof hashMode === 'string'\n  if (this.hashMode) {\n    this[hashMode] = this._finalOrDigest\n  } else {\n    this.final = this._finalOrDigest\n  }\n  if (this._final) {\n    this.__final = this._final\n    this._final = null\n  }\n  this._decoder = null\n  this._encoding = null\n}\ninherits(CipherBase, Transform)\n\nCipherBase.prototype.update = function (data, inputEnc, outputEnc) {\n  if (typeof data === 'string') {\n    data = Buffer.from(data, inputEnc)\n  }\n\n  var outData = this._update(data)\n  if (this.hashMode) return this\n\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc)\n  }\n\n  return outData\n}\n\nCipherBase.prototype.setAutoPadding = function () {}\nCipherBase.prototype.getAuthTag = function () {\n  throw new Error('trying to get auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAuthTag = function () {\n  throw new Error('trying to set auth tag in unsupported state')\n}\n\nCipherBase.prototype.setAAD = function () {\n  throw new Error('trying to set aad in unsupported state')\n}\n\nCipherBase.prototype._transform = function (data, _, next) {\n  var err\n  try {\n    if (this.hashMode) {\n      this._update(data)\n    } else {\n      this.push(this._update(data))\n    }\n  } catch (e) {\n    err = e\n  } finally {\n    next(err)\n  }\n}\nCipherBase.prototype._flush = function (done) {\n  var err\n  try {\n    this.push(this.__final())\n  } catch (e) {\n    err = e\n  }\n\n  done(err)\n}\nCipherBase.prototype._finalOrDigest = function (outputEnc) {\n  var outData = this.__final() || Buffer.alloc(0)\n  if (outputEnc) {\n    outData = this._toString(outData, outputEnc, true)\n  }\n  return outData\n}\n\nCipherBase.prototype._toString = function (value, enc, fin) {\n  if (!this._decoder) {\n    this._decoder = new StringDecoder(enc)\n    this._encoding = enc\n  }\n\n  if (this._encoding !== enc) throw new Error('can\\'t switch encodings')\n\n  var out = this._decoder.write(value)\n  if (fin) {\n    out += this._decoder.end()\n  }\n\n  return out\n}\n\nmodule.exports = CipherBase\n","'use strict'\nvar inherits = require('inherits')\nvar MD5 = require('md5.js')\nvar RIPEMD160 = require('ripemd160')\nvar sha = require('sha.js')\nvar Base = require('cipher-base')\n\nfunction Hash (hash) {\n  Base.call(this, 'digest')\n\n  this._hash = hash\n}\n\ninherits(Hash, Base)\n\nHash.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHash.prototype._final = function () {\n  return this._hash.digest()\n}\n\nmodule.exports = function createHash (alg) {\n  alg = alg.toLowerCase()\n  if (alg === 'md5') return new MD5()\n  if (alg === 'rmd160' || alg === 'ripemd160') return new RIPEMD160()\n\n  return new Hash(sha(alg))\n}\n","'use strict'\nvar inherits = require('inherits')\nvar Buffer = require('safe-buffer').Buffer\n\nvar Base = require('cipher-base')\n\nvar ZEROS = Buffer.alloc(128)\nvar blocksize = 64\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  this._alg = alg\n  this._key = key\n\n  if (key.length > blocksize) {\n    key = alg(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  this._hash = [ipad]\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.push(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._alg(Buffer.concat(this._hash))\n  return this._alg(Buffer.concat([this._opad, h]))\n}\nmodule.exports = Hmac\n","var MD5 = require('md5.js')\n\nmodule.exports = function (buffer) {\n  return new MD5().update(buffer).digest()\n}\n","'use strict'\nvar inherits = require('inherits')\nvar Legacy = require('./legacy')\nvar Base = require('cipher-base')\nvar Buffer = require('safe-buffer').Buffer\nvar md5 = require('create-hash/md5')\nvar RIPEMD160 = require('ripemd160')\n\nvar sha = require('sha.js')\n\nvar ZEROS = Buffer.alloc(128)\n\nfunction Hmac (alg, key) {\n  Base.call(this, 'digest')\n  if (typeof key === 'string') {\n    key = Buffer.from(key)\n  }\n\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  this._alg = alg\n  this._key = key\n  if (key.length > blocksize) {\n    var hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n    key = hash.update(key).digest()\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = this._ipad = Buffer.allocUnsafe(blocksize)\n  var opad = this._opad = Buffer.allocUnsafe(blocksize)\n\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n  this._hash = alg === 'rmd160' ? new RIPEMD160() : sha(alg)\n  this._hash.update(ipad)\n}\n\ninherits(Hmac, Base)\n\nHmac.prototype._update = function (data) {\n  this._hash.update(data)\n}\n\nHmac.prototype._final = function () {\n  var h = this._hash.digest()\n  var hash = this._alg === 'rmd160' ? new RIPEMD160() : sha(this._alg)\n  return hash.update(this._opad).update(h).digest()\n}\n\nmodule.exports = function createHmac (alg, key) {\n  alg = alg.toLowerCase()\n  if (alg === 'rmd160' || alg === 'ripemd160') {\n    return new Hmac('rmd160', key)\n  }\n  if (alg === 'md5') {\n    return new Legacy(md5, key)\n  }\n  return new Hmac(alg, key)\n}\n","module.exports = require('./browser/algorithms.json')\n","var MAX_ALLOC = Math.pow(2, 30) - 1 // default in iojs\n\nfunction checkBuffer (buf, name) {\n  if (typeof buf !== 'string' && !Buffer.isBuffer(buf)) {\n    throw new TypeError(name + ' must be a buffer or string')\n  }\n}\n\nmodule.exports = function (password, salt, iterations, keylen) {\n  checkBuffer(password, 'Password')\n  checkBuffer(salt, 'Salt')\n\n  if (typeof iterations !== 'number') {\n    throw new TypeError('Iterations not a number')\n  }\n\n  if (iterations < 0) {\n    throw new TypeError('Bad iterations')\n  }\n\n  if (typeof keylen !== 'number') {\n    throw new TypeError('Key length not a number')\n  }\n\n  if (keylen < 0 || keylen > MAX_ALLOC || keylen !== keylen) { /* eslint no-self-compare: 0 */\n    throw new TypeError('Bad key length')\n  }\n}\n","var defaultEncoding\n/* istanbul ignore next */\nif (process.browser) {\n  defaultEncoding = 'utf-8'\n} else {\n  var pVersionMajor = parseInt(process.version.split('.')[0].slice(1), 10)\n\n  defaultEncoding = pVersionMajor >= 6 ? 'utf-8' : 'binary'\n}\nmodule.exports = defaultEncoding\n","var md5 = require('create-hash/md5')\nvar rmd160 = require('ripemd160')\nvar sha = require('sha.js')\n\nvar checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar Buffer = require('safe-buffer').Buffer\nvar ZEROS = Buffer.alloc(128)\nvar sizes = {\n  md5: 16,\n  sha1: 20,\n  sha224: 28,\n  sha256: 32,\n  sha384: 48,\n  sha512: 64,\n  rmd160: 20,\n  ripemd160: 20\n}\n\nfunction Hmac (alg, key, saltLen) {\n  var hash = getDigest(alg)\n  var blocksize = (alg === 'sha512' || alg === 'sha384') ? 128 : 64\n\n  if (key.length > blocksize) {\n    key = hash(key)\n  } else if (key.length < blocksize) {\n    key = Buffer.concat([key, ZEROS], blocksize)\n  }\n\n  var ipad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  var opad = Buffer.allocUnsafe(blocksize + sizes[alg])\n  for (var i = 0; i < blocksize; i++) {\n    ipad[i] = key[i] ^ 0x36\n    opad[i] = key[i] ^ 0x5C\n  }\n\n  var ipad1 = Buffer.allocUnsafe(blocksize + saltLen + 4)\n  ipad.copy(ipad1, 0, 0, blocksize)\n  this.ipad1 = ipad1\n  this.ipad2 = ipad\n  this.opad = opad\n  this.alg = alg\n  this.blocksize = blocksize\n  this.hash = hash\n  this.size = sizes[alg]\n}\n\nHmac.prototype.run = function (data, ipad) {\n  data.copy(ipad, this.blocksize)\n  var h = this.hash(ipad)\n  h.copy(this.opad, this.blocksize)\n  return this.hash(this.opad)\n}\n\nfunction getDigest (alg) {\n  function shaFunc (data) {\n    return sha(alg).update(data).digest()\n  }\n\n  if (alg === 'rmd160' || alg === 'ripemd160') return rmd160\n  if (alg === 'md5') return md5\n  return shaFunc\n}\n\nfunction pbkdf2 (password, salt, iterations, keylen, digest) {\n  checkParameters(password, salt, iterations, keylen)\n\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  digest = digest || 'sha1'\n\n  var hmac = new Hmac(digest, password, salt.length)\n\n  var DK = Buffer.allocUnsafe(keylen)\n  var block1 = Buffer.allocUnsafe(salt.length + 4)\n  salt.copy(block1, 0, 0, salt.length)\n\n  var destPos = 0\n  var hLen = sizes[digest]\n  var l = Math.ceil(keylen / hLen)\n\n  for (var i = 1; i <= l; i++) {\n    block1.writeUInt32BE(i, salt.length)\n\n    var T = hmac.run(block1, hmac.ipad1)\n    var U = T\n\n    for (var j = 1; j < iterations; j++) {\n      U = hmac.run(U, hmac.ipad2)\n      for (var k = 0; k < hLen; k++) T[k] ^= U[k]\n    }\n\n    T.copy(DK, destPos)\n    destPos += hLen\n  }\n\n  return DK\n}\n\nmodule.exports = pbkdf2\n","var checkParameters = require('./precondition')\nvar defaultEncoding = require('./default-encoding')\nvar sync = require('./sync')\nvar Buffer = require('safe-buffer').Buffer\n\nvar ZERO_BUF\nvar subtle = global.crypto && global.crypto.subtle\nvar toBrowser = {\n  'sha': 'SHA-1',\n  'sha-1': 'SHA-1',\n  'sha1': 'SHA-1',\n  'sha256': 'SHA-256',\n  'sha-256': 'SHA-256',\n  'sha384': 'SHA-384',\n  'sha-384': 'SHA-384',\n  'sha-512': 'SHA-512',\n  'sha512': 'SHA-512'\n}\nvar checks = []\nfunction checkNative (algo) {\n  if (global.process && !global.process.browser) {\n    return Promise.resolve(false)\n  }\n  if (!subtle || !subtle.importKey || !subtle.deriveBits) {\n    return Promise.resolve(false)\n  }\n  if (checks[algo] !== undefined) {\n    return checks[algo]\n  }\n  ZERO_BUF = ZERO_BUF || Buffer.alloc(8)\n  var prom = browserPbkdf2(ZERO_BUF, ZERO_BUF, 10, 128, algo)\n    .then(function () {\n      return true\n    }).catch(function () {\n      return false\n    })\n  checks[algo] = prom\n  return prom\n}\n\nfunction browserPbkdf2 (password, salt, iterations, length, algo) {\n  return subtle.importKey(\n    'raw', password, {name: 'PBKDF2'}, false, ['deriveBits']\n  ).then(function (key) {\n    return subtle.deriveBits({\n      name: 'PBKDF2',\n      salt: salt,\n      iterations: iterations,\n      hash: {\n        name: algo\n      }\n    }, key, length << 3)\n  }).then(function (res) {\n    return Buffer.from(res)\n  })\n}\n\nfunction resolvePromise (promise, callback) {\n  promise.then(function (out) {\n    process.nextTick(function () {\n      callback(null, out)\n    })\n  }, function (e) {\n    process.nextTick(function () {\n      callback(e)\n    })\n  })\n}\nmodule.exports = function (password, salt, iterations, keylen, digest, callback) {\n  if (typeof digest === 'function') {\n    callback = digest\n    digest = undefined\n  }\n\n  digest = digest || 'sha1'\n  var algo = toBrowser[digest.toLowerCase()]\n\n  if (!algo || typeof global.Promise !== 'function') {\n    return process.nextTick(function () {\n      var out\n      try {\n        out = sync(password, salt, iterations, keylen, digest)\n      } catch (e) {\n        return callback(e)\n      }\n      callback(null, out)\n    })\n  }\n\n  checkParameters(password, salt, iterations, keylen)\n  if (typeof callback !== 'function') throw new Error('No callback provided to pbkdf2')\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, defaultEncoding)\n  if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, defaultEncoding)\n\n  resolvePromise(checkNative(algo).then(function (resp) {\n    if (resp) return browserPbkdf2(password, salt, iterations, keylen, algo)\n\n    return sync(password, salt, iterations, keylen, digest)\n  }), callback)\n}\n","exports.pbkdf2 = require('./lib/async')\nexports.pbkdf2Sync = require('./lib/sync')\n","'use strict';\n\nexports.readUInt32BE = function readUInt32BE(bytes, off) {\n  var res =  (bytes[0 + off] << 24) |\n             (bytes[1 + off] << 16) |\n             (bytes[2 + off] << 8) |\n             bytes[3 + off];\n  return res >>> 0;\n};\n\nexports.writeUInt32BE = function writeUInt32BE(bytes, value, off) {\n  bytes[0 + off] = value >>> 24;\n  bytes[1 + off] = (value >>> 16) & 0xff;\n  bytes[2 + off] = (value >>> 8) & 0xff;\n  bytes[3 + off] = value & 0xff;\n};\n\nexports.ip = function ip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  for (var i = 6; i >= 0; i -= 2) {\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n    }\n    for (var j = 1; j <= 25; j += 8) {\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.rip = function rip(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  for (var i = 0; i < 4; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outL <<= 1;\n      outL |= (inR >>> (j + i)) & 1;\n      outL <<= 1;\n      outL |= (inL >>> (j + i)) & 1;\n    }\n  }\n  for (var i = 4; i < 8; i++) {\n    for (var j = 24; j >= 0; j -= 8) {\n      outR <<= 1;\n      outR |= (inR >>> (j + i)) & 1;\n      outR <<= 1;\n      outR |= (inL >>> (j + i)) & 1;\n    }\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.pc1 = function pc1(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  // 7, 15, 23, 31, 39, 47, 55, 63\n  // 6, 14, 22, 30, 39, 47, 55, 63\n  // 5, 13, 21, 29, 39, 47, 55, 63\n  // 4, 12, 20, 28\n  for (var i = 7; i >= 5; i--) {\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outL <<= 1;\n      outL |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outL <<= 1;\n    outL |= (inR >> (j + i)) & 1;\n  }\n\n  // 1, 9, 17, 25, 33, 41, 49, 57\n  // 2, 10, 18, 26, 34, 42, 50, 58\n  // 3, 11, 19, 27, 35, 43, 51, 59\n  // 36, 44, 52, 60\n  for (var i = 1; i <= 3; i++) {\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inR >> (j + i)) & 1;\n    }\n    for (var j = 0; j <= 24; j += 8) {\n      outR <<= 1;\n      outR |= (inL >> (j + i)) & 1;\n    }\n  }\n  for (var j = 0; j <= 24; j += 8) {\n    outR <<= 1;\n    outR |= (inL >> (j + i)) & 1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.r28shl = function r28shl(num, shift) {\n  return ((num << shift) & 0xfffffff) | (num >>> (28 - shift));\n};\n\nvar pc2table = [\n  // inL => outL\n  14, 11, 17, 4, 27, 23, 25, 0,\n  13, 22, 7, 18, 5, 9, 16, 24,\n  2, 20, 12, 21, 1, 8, 15, 26,\n\n  // inR => outR\n  15, 4, 25, 19, 9, 1, 26, 16,\n  5, 11, 23, 8, 12, 7, 17, 0,\n  22, 3, 10, 14, 6, 20, 27, 24\n];\n\nexports.pc2 = function pc2(inL, inR, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  var len = pc2table.length >>> 1;\n  for (var i = 0; i < len; i++) {\n    outL <<= 1;\n    outL |= (inL >>> pc2table[i]) & 0x1;\n  }\n  for (var i = len; i < pc2table.length; i++) {\n    outR <<= 1;\n    outR |= (inR >>> pc2table[i]) & 0x1;\n  }\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nexports.expand = function expand(r, out, off) {\n  var outL = 0;\n  var outR = 0;\n\n  outL = ((r & 1) << 5) | (r >>> 27);\n  for (var i = 23; i >= 15; i -= 4) {\n    outL <<= 6;\n    outL |= (r >>> i) & 0x3f;\n  }\n  for (var i = 11; i >= 3; i -= 4) {\n    outR |= (r >>> i) & 0x3f;\n    outR <<= 6;\n  }\n  outR |= ((r & 0x1f) << 1) | (r >>> 31);\n\n  out[off + 0] = outL >>> 0;\n  out[off + 1] = outR >>> 0;\n};\n\nvar sTable = [\n  14, 0, 4, 15, 13, 7, 1, 4, 2, 14, 15, 2, 11, 13, 8, 1,\n  3, 10, 10, 6, 6, 12, 12, 11, 5, 9, 9, 5, 0, 3, 7, 8,\n  4, 15, 1, 12, 14, 8, 8, 2, 13, 4, 6, 9, 2, 1, 11, 7,\n  15, 5, 12, 11, 9, 3, 7, 14, 3, 10, 10, 0, 5, 6, 0, 13,\n\n  15, 3, 1, 13, 8, 4, 14, 7, 6, 15, 11, 2, 3, 8, 4, 14,\n  9, 12, 7, 0, 2, 1, 13, 10, 12, 6, 0, 9, 5, 11, 10, 5,\n  0, 13, 14, 8, 7, 10, 11, 1, 10, 3, 4, 15, 13, 4, 1, 2,\n  5, 11, 8, 6, 12, 7, 6, 12, 9, 0, 3, 5, 2, 14, 15, 9,\n\n  10, 13, 0, 7, 9, 0, 14, 9, 6, 3, 3, 4, 15, 6, 5, 10,\n  1, 2, 13, 8, 12, 5, 7, 14, 11, 12, 4, 11, 2, 15, 8, 1,\n  13, 1, 6, 10, 4, 13, 9, 0, 8, 6, 15, 9, 3, 8, 0, 7,\n  11, 4, 1, 15, 2, 14, 12, 3, 5, 11, 10, 5, 14, 2, 7, 12,\n\n  7, 13, 13, 8, 14, 11, 3, 5, 0, 6, 6, 15, 9, 0, 10, 3,\n  1, 4, 2, 7, 8, 2, 5, 12, 11, 1, 12, 10, 4, 14, 15, 9,\n  10, 3, 6, 15, 9, 0, 0, 6, 12, 10, 11, 1, 7, 13, 13, 8,\n  15, 9, 1, 4, 3, 5, 14, 11, 5, 12, 2, 7, 8, 2, 4, 14,\n\n  2, 14, 12, 11, 4, 2, 1, 12, 7, 4, 10, 7, 11, 13, 6, 1,\n  8, 5, 5, 0, 3, 15, 15, 10, 13, 3, 0, 9, 14, 8, 9, 6,\n  4, 11, 2, 8, 1, 12, 11, 7, 10, 1, 13, 14, 7, 2, 8, 13,\n  15, 6, 9, 15, 12, 0, 5, 9, 6, 10, 3, 4, 0, 5, 14, 3,\n\n  12, 10, 1, 15, 10, 4, 15, 2, 9, 7, 2, 12, 6, 9, 8, 5,\n  0, 6, 13, 1, 3, 13, 4, 14, 14, 0, 7, 11, 5, 3, 11, 8,\n  9, 4, 14, 3, 15, 2, 5, 12, 2, 9, 8, 5, 12, 15, 3, 10,\n  7, 11, 0, 14, 4, 1, 10, 7, 1, 6, 13, 0, 11, 8, 6, 13,\n\n  4, 13, 11, 0, 2, 11, 14, 7, 15, 4, 0, 9, 8, 1, 13, 10,\n  3, 14, 12, 3, 9, 5, 7, 12, 5, 2, 10, 15, 6, 8, 1, 6,\n  1, 6, 4, 11, 11, 13, 13, 8, 12, 1, 3, 4, 7, 10, 14, 7,\n  10, 9, 15, 5, 6, 0, 8, 15, 0, 14, 5, 2, 9, 3, 2, 12,\n\n  13, 1, 2, 15, 8, 13, 4, 8, 6, 10, 15, 3, 11, 7, 1, 4,\n  10, 12, 9, 5, 3, 6, 14, 11, 5, 0, 0, 14, 12, 9, 7, 2,\n  7, 2, 11, 1, 4, 14, 1, 7, 9, 4, 12, 10, 14, 8, 2, 13,\n  0, 15, 6, 12, 10, 9, 13, 0, 15, 3, 3, 5, 5, 6, 8, 11\n];\n\nexports.substitute = function substitute(inL, inR) {\n  var out = 0;\n  for (var i = 0; i < 4; i++) {\n    var b = (inL >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  for (var i = 0; i < 4; i++) {\n    var b = (inR >>> (18 - i * 6)) & 0x3f;\n    var sb = sTable[4 * 0x40 + i * 0x40 + b];\n\n    out <<= 4;\n    out |= sb;\n  }\n  return out >>> 0;\n};\n\nvar permuteTable = [\n  16, 25, 12, 11, 3, 20, 4, 15, 31, 17, 9, 6, 27, 14, 1, 22,\n  30, 24, 8, 18, 0, 5, 29, 23, 13, 19, 2, 26, 10, 21, 28, 7\n];\n\nexports.permute = function permute(num) {\n  var out = 0;\n  for (var i = 0; i < permuteTable.length; i++) {\n    out <<= 1;\n    out |= (num >>> permuteTable[i]) & 0x1;\n  }\n  return out >>> 0;\n};\n\nexports.padSplit = function padSplit(num, size, group) {\n  var str = num.toString(2);\n  while (str.length < size)\n    str = '0' + str;\n\n  var out = [];\n  for (var i = 0; i < size; i += group)\n    out.push(str.slice(i, i + group));\n  return out.join(' ');\n};\n","module.exports = assert;\n\nfunction assert(val, msg) {\n  if (!val)\n    throw new Error(msg || 'Assertion failed');\n}\n\nassert.equal = function assertEqual(l, r, msg) {\n  if (l != r)\n    throw new Error(msg || ('Assertion failed: ' + l + ' != ' + r));\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\n\nfunction Cipher(options) {\n  this.options = options;\n\n  this.type = this.options.type;\n  this.blockSize = 8;\n  this._init();\n\n  this.buffer = new Array(this.blockSize);\n  this.bufferOff = 0;\n}\nmodule.exports = Cipher;\n\nCipher.prototype._init = function _init() {\n  // Might be overrided\n};\n\nCipher.prototype.update = function update(data) {\n  if (data.length === 0)\n    return [];\n\n  if (this.type === 'decrypt')\n    return this._updateDecrypt(data);\n  else\n    return this._updateEncrypt(data);\n};\n\nCipher.prototype._buffer = function _buffer(data, off) {\n  // Append data to buffer\n  var min = Math.min(this.buffer.length - this.bufferOff, data.length - off);\n  for (var i = 0; i < min; i++)\n    this.buffer[this.bufferOff + i] = data[off + i];\n  this.bufferOff += min;\n\n  // Shift next\n  return min;\n};\n\nCipher.prototype._flushBuffer = function _flushBuffer(out, off) {\n  this._update(this.buffer, 0, out, off);\n  this.bufferOff = 0;\n  return this.blockSize;\n};\n\nCipher.prototype._updateEncrypt = function _updateEncrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = ((this.bufferOff + data.length) / this.blockSize) | 0;\n  var out = new Array(count * this.blockSize);\n\n  if (this.bufferOff !== 0) {\n    inputOff += this._buffer(data, inputOff);\n\n    if (this.bufferOff === this.buffer.length)\n      outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Write blocks\n  var max = data.length - ((data.length - inputOff) % this.blockSize);\n  for (; inputOff < max; inputOff += this.blockSize) {\n    this._update(data, inputOff, out, outputOff);\n    outputOff += this.blockSize;\n  }\n\n  // Queue rest\n  for (; inputOff < data.length; inputOff++, this.bufferOff++)\n    this.buffer[this.bufferOff] = data[inputOff];\n\n  return out;\n};\n\nCipher.prototype._updateDecrypt = function _updateDecrypt(data) {\n  var inputOff = 0;\n  var outputOff = 0;\n\n  var count = Math.ceil((this.bufferOff + data.length) / this.blockSize) - 1;\n  var out = new Array(count * this.blockSize);\n\n  // TODO(indutny): optimize it, this is far from optimal\n  for (; count > 0; count--) {\n    inputOff += this._buffer(data, inputOff);\n    outputOff += this._flushBuffer(out, outputOff);\n  }\n\n  // Buffer rest of the input\n  inputOff += this._buffer(data, inputOff);\n\n  return out;\n};\n\nCipher.prototype.final = function final(buffer) {\n  var first;\n  if (buffer)\n    first = this.update(buffer);\n\n  var last;\n  if (this.type === 'encrypt')\n    last = this._finalEncrypt();\n  else\n    last = this._finalDecrypt();\n\n  if (first)\n    return first.concat(last);\n  else\n    return last;\n};\n\nCipher.prototype._pad = function _pad(buffer, off) {\n  if (off === 0)\n    return false;\n\n  while (off < buffer.length)\n    buffer[off++] = 0;\n\n  return true;\n};\n\nCipher.prototype._finalEncrypt = function _finalEncrypt() {\n  if (!this._pad(this.buffer, this.bufferOff))\n    return [];\n\n  var out = new Array(this.blockSize);\n  this._update(this.buffer, 0, out, 0);\n  return out;\n};\n\nCipher.prototype._unpad = function _unpad(buffer) {\n  return buffer;\n};\n\nCipher.prototype._finalDecrypt = function _finalDecrypt() {\n  assert.equal(this.bufferOff, this.blockSize, 'Not enough data to decrypt');\n  var out = new Array(this.blockSize);\n  this._flushBuffer(out, 0);\n\n  return this._unpad(out);\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar utils = des.utils;\nvar Cipher = des.Cipher;\n\nfunction DESState() {\n  this.tmp = new Array(2);\n  this.keys = null;\n}\n\nfunction DES(options) {\n  Cipher.call(this, options);\n\n  var state = new DESState();\n  this._desState = state;\n\n  this.deriveKeys(state, options.key);\n}\ninherits(DES, Cipher);\nmodule.exports = DES;\n\nDES.create = function create(options) {\n  return new DES(options);\n};\n\nvar shiftTable = [\n  1, 1, 2, 2, 2, 2, 2, 2,\n  1, 2, 2, 2, 2, 2, 2, 1\n];\n\nDES.prototype.deriveKeys = function deriveKeys(state, key) {\n  state.keys = new Array(16 * 2);\n\n  assert.equal(key.length, this.blockSize, 'Invalid key length');\n\n  var kL = utils.readUInt32BE(key, 0);\n  var kR = utils.readUInt32BE(key, 4);\n\n  utils.pc1(kL, kR, state.tmp, 0);\n  kL = state.tmp[0];\n  kR = state.tmp[1];\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var shift = shiftTable[i >>> 1];\n    kL = utils.r28shl(kL, shift);\n    kR = utils.r28shl(kR, shift);\n    utils.pc2(kL, kR, state.keys, i);\n  }\n};\n\nDES.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._desState;\n\n  var l = utils.readUInt32BE(inp, inOff);\n  var r = utils.readUInt32BE(inp, inOff + 4);\n\n  // Initial Permutation\n  utils.ip(l, r, state.tmp, 0);\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  if (this.type === 'encrypt')\n    this._encrypt(state, l, r, state.tmp, 0);\n  else\n    this._decrypt(state, l, r, state.tmp, 0);\n\n  l = state.tmp[0];\n  r = state.tmp[1];\n\n  utils.writeUInt32BE(out, l, outOff);\n  utils.writeUInt32BE(out, r, outOff + 4);\n};\n\nDES.prototype._pad = function _pad(buffer, off) {\n  var value = buffer.length - off;\n  for (var i = off; i < buffer.length; i++)\n    buffer[i] = value;\n\n  return true;\n};\n\nDES.prototype._unpad = function _unpad(buffer) {\n  var pad = buffer[buffer.length - 1];\n  for (var i = buffer.length - pad; i < buffer.length; i++)\n    assert.equal(buffer[i], pad);\n\n  return buffer.slice(0, buffer.length - pad);\n};\n\nDES.prototype._encrypt = function _encrypt(state, lStart, rStart, out, off) {\n  var l = lStart;\n  var r = rStart;\n\n  // Apply f() x16 times\n  for (var i = 0; i < state.keys.length; i += 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(r, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = r;\n    r = (l ^ f) >>> 0;\n    l = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(r, l, out, off);\n};\n\nDES.prototype._decrypt = function _decrypt(state, lStart, rStart, out, off) {\n  var l = rStart;\n  var r = lStart;\n\n  // Apply f() x16 times\n  for (var i = state.keys.length - 2; i >= 0; i -= 2) {\n    var keyL = state.keys[i];\n    var keyR = state.keys[i + 1];\n\n    // f(r, k)\n    utils.expand(l, state.tmp, 0);\n\n    keyL ^= state.tmp[0];\n    keyR ^= state.tmp[1];\n    var s = utils.substitute(keyL, keyR);\n    var f = utils.permute(s);\n\n    var t = l;\n    l = (r ^ f) >>> 0;\n    r = t;\n  }\n\n  // Reverse Initial Permutation\n  utils.rip(l, r, out, off);\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar proto = {};\n\nfunction CBCState(iv) {\n  assert.equal(iv.length, 8, 'Invalid IV length');\n\n  this.iv = new Array(8);\n  for (var i = 0; i < this.iv.length; i++)\n    this.iv[i] = iv[i];\n}\n\nfunction instantiate(Base) {\n  function CBC(options) {\n    Base.call(this, options);\n    this._cbcInit();\n  }\n  inherits(CBC, Base);\n\n  var keys = Object.keys(proto);\n  for (var i = 0; i < keys.length; i++) {\n    var key = keys[i];\n    CBC.prototype[key] = proto[key];\n  }\n\n  CBC.create = function create(options) {\n    return new CBC(options);\n  };\n\n  return CBC;\n}\n\nexports.instantiate = instantiate;\n\nproto._cbcInit = function _cbcInit() {\n  var state = new CBCState(this.options.iv);\n  this._cbcState = state;\n};\n\nproto._update = function _update(inp, inOff, out, outOff) {\n  var state = this._cbcState;\n  var superProto = this.constructor.super_.prototype;\n\n  var iv = state.iv;\n  if (this.type === 'encrypt') {\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] ^= inp[inOff + i];\n\n    superProto._update.call(this, iv, 0, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = out[outOff + i];\n  } else {\n    superProto._update.call(this, inp, inOff, out, outOff);\n\n    for (var i = 0; i < this.blockSize; i++)\n      out[outOff + i] ^= iv[i];\n\n    for (var i = 0; i < this.blockSize; i++)\n      iv[i] = inp[inOff + i];\n  }\n};\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nvar des = require('../des');\nvar Cipher = des.Cipher;\nvar DES = des.DES;\n\nfunction EDEState(type, key) {\n  assert.equal(key.length, 24, 'Invalid key length');\n\n  var k1 = key.slice(0, 8);\n  var k2 = key.slice(8, 16);\n  var k3 = key.slice(16, 24);\n\n  if (type === 'encrypt') {\n    this.ciphers = [\n      DES.create({ type: 'encrypt', key: k1 }),\n      DES.create({ type: 'decrypt', key: k2 }),\n      DES.create({ type: 'encrypt', key: k3 })\n    ];\n  } else {\n    this.ciphers = [\n      DES.create({ type: 'decrypt', key: k3 }),\n      DES.create({ type: 'encrypt', key: k2 }),\n      DES.create({ type: 'decrypt', key: k1 })\n    ];\n  }\n}\n\nfunction EDE(options) {\n  Cipher.call(this, options);\n\n  var state = new EDEState(this.type, this.options.key);\n  this._edeState = state;\n}\ninherits(EDE, Cipher);\n\nmodule.exports = EDE;\n\nEDE.create = function create(options) {\n  return new EDE(options);\n};\n\nEDE.prototype._update = function _update(inp, inOff, out, outOff) {\n  var state = this._edeState;\n\n  state.ciphers[0]._update(inp, inOff, out, outOff);\n  state.ciphers[1]._update(out, outOff, out, outOff);\n  state.ciphers[2]._update(out, outOff, out, outOff);\n};\n\nEDE.prototype._pad = DES.prototype._pad;\nEDE.prototype._unpad = DES.prototype._unpad;\n","'use strict';\n\nexports.utils = require('./des/utils');\nexports.Cipher = require('./des/cipher');\nexports.DES = require('./des/des');\nexports.CBC = require('./des/cbc');\nexports.EDE = require('./des/ede');\n","var CipherBase = require('cipher-base')\nvar des = require('des.js')\nvar inherits = require('inherits')\n\nvar modes = {\n  'des-ede3-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede3': des.EDE,\n  'des-ede-cbc': des.CBC.instantiate(des.EDE),\n  'des-ede': des.EDE,\n  'des-cbc': des.CBC.instantiate(des.DES),\n  'des-ecb': des.DES\n}\nmodes.des = modes['des-cbc']\nmodes.des3 = modes['des-ede3-cbc']\nmodule.exports = DES\ninherits(DES, CipherBase)\nfunction DES (opts) {\n  CipherBase.call(this)\n  var modeName = opts.mode.toLowerCase()\n  var mode = modes[modeName]\n  var type\n  if (opts.decrypt) {\n    type = 'decrypt'\n  } else {\n    type = 'encrypt'\n  }\n  var key = opts.key\n  if (modeName === 'des-ede' || modeName === 'des-ede-cbc') {\n    key = Buffer.concat([key, key.slice(0, 8)])\n  }\n  var iv = opts.iv\n  this._des = mode.create({\n    key: key,\n    iv: iv,\n    type: type\n  })\n}\nDES.prototype._update = function (data) {\n  return new Buffer(this._des.update(data))\n}\nDES.prototype._final = function () {\n  return new Buffer(this._des.final())\n}\n","exports.encrypt = function (self, block) {\n  return self._cipher.encryptBlock(block)\n}\n\nexports.decrypt = function (self, block) {\n  return self._cipher.decryptBlock(block)\n}\n","module.exports = function xor (a, b) {\n  var length = Math.min(a.length, b.length)\n  var buffer = new Buffer(length)\n\n  for (var i = 0; i < length; ++i) {\n    buffer[i] = a[i] ^ b[i]\n  }\n\n  return buffer\n}\n","var xor = require('buffer-xor')\n\nexports.encrypt = function (self, block) {\n  var data = xor(block, self._prev)\n\n  self._prev = self._cipher.encryptBlock(data)\n  return self._prev\n}\n\nexports.decrypt = function (self, block) {\n  var pad = self._prev\n\n  self._prev = block\n  var out = self._cipher.decryptBlock(block)\n\n  return xor(out, pad)\n}\n","var Buffer = require('safe-buffer').Buffer\nvar xor = require('buffer-xor')\n\nfunction encryptStart (self, data, decrypt) {\n  var len = data.length\n  var out = xor(data, self._cache)\n  self._cache = self._cache.slice(len)\n  self._prev = Buffer.concat([self._prev, decrypt ? data : out])\n  return out\n}\n\nexports.encrypt = function (self, data, decrypt) {\n  var out = Buffer.allocUnsafe(0)\n  var len\n\n  while (data.length) {\n    if (self._cache.length === 0) {\n      self._cache = self._cipher.encryptBlock(self._prev)\n      self._prev = Buffer.allocUnsafe(0)\n    }\n\n    if (self._cache.length <= data.length) {\n      len = self._cache.length\n      out = Buffer.concat([out, encryptStart(self, data.slice(0, len), decrypt)])\n      data = data.slice(len)\n    } else {\n      out = Buffer.concat([out, encryptStart(self, data, decrypt)])\n      break\n    }\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad = self._cipher.encryptBlock(self._prev)\n  var out = pad[0] ^ byteParam\n\n  self._prev = Buffer.concat([\n    self._prev.slice(1),\n    Buffer.from([decrypt ? byteParam : out])\n  ])\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var Buffer = require('safe-buffer').Buffer\n\nfunction encryptByte (self, byteParam, decrypt) {\n  var pad\n  var i = -1\n  var len = 8\n  var out = 0\n  var bit, value\n  while (++i < len) {\n    pad = self._cipher.encryptBlock(self._prev)\n    bit = (byteParam & (1 << (7 - i))) ? 0x80 : 0\n    value = pad[0] ^ bit\n    out += ((value & 0x80) >> (i % 8))\n    self._prev = shiftIn(self._prev, decrypt ? bit : value)\n  }\n  return out\n}\n\nfunction shiftIn (buffer, value) {\n  var len = buffer.length\n  var i = -1\n  var out = Buffer.allocUnsafe(buffer.length)\n  buffer = Buffer.concat([buffer, Buffer.from([value])])\n\n  while (++i < len) {\n    out[i] = buffer[i] << 1 | buffer[i + 1] >> (7)\n  }\n\n  return out\n}\n\nexports.encrypt = function (self, chunk, decrypt) {\n  var len = chunk.length\n  var out = Buffer.allocUnsafe(len)\n  var i = -1\n\n  while (++i < len) {\n    out[i] = encryptByte(self, chunk[i], decrypt)\n  }\n\n  return out\n}\n","var xor = require('buffer-xor')\n\nfunction getBlock (self) {\n  self._prev = self._cipher.encryptBlock(self._prev)\n  return self._prev\n}\n\nexports.encrypt = function (self, chunk) {\n  while (self._cache.length < chunk.length) {\n    self._cache = Buffer.concat([self._cache, getBlock(self)])\n  }\n\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","function incr32 (iv) {\n  var len = iv.length\n  var item\n  while (len--) {\n    item = iv.readUInt8(len)\n    if (item === 255) {\n      iv.writeUInt8(0, len)\n    } else {\n      item++\n      iv.writeUInt8(item, len)\n      break\n    }\n  }\n}\nmodule.exports = incr32\n","var xor = require('buffer-xor')\nvar Buffer = require('safe-buffer').Buffer\nvar incr32 = require('../incr32')\n\nfunction getBlock (self) {\n  var out = self._cipher.encryptBlockRaw(self._prev)\n  incr32(self._prev)\n  return out\n}\n\nvar blockSize = 16\nexports.encrypt = function (self, chunk) {\n  var chunkNum = Math.ceil(chunk.length / blockSize)\n  var start = self._cache.length\n  self._cache = Buffer.concat([\n    self._cache,\n    Buffer.allocUnsafe(chunkNum * blockSize)\n  ])\n  for (var i = 0; i < chunkNum; i++) {\n    var out = getBlock(self)\n    var offset = start + i * blockSize\n    self._cache.writeUInt32BE(out[0], offset + 0)\n    self._cache.writeUInt32BE(out[1], offset + 4)\n    self._cache.writeUInt32BE(out[2], offset + 8)\n    self._cache.writeUInt32BE(out[3], offset + 12)\n  }\n  var pad = self._cache.slice(0, chunk.length)\n  self._cache = self._cache.slice(chunk.length)\n  return xor(chunk, pad)\n}\n","var modeModules = {\n  ECB: require('./ecb'),\n  CBC: require('./cbc'),\n  CFB: require('./cfb'),\n  CFB8: require('./cfb8'),\n  CFB1: require('./cfb1'),\n  OFB: require('./ofb'),\n  CTR: require('./ctr'),\n  GCM: require('./ctr')\n}\n\nvar modes = require('./list.json')\n\nfor (var key in modes) {\n  modes[key].module = modeModules[modes[key].mode]\n}\n\nmodule.exports = modes\n","// based on the aes implimentation in triple sec\n// https://github.com/keybase/triplesec\n// which is in turn based on the one from crypto-js\n// https://code.google.com/p/crypto-js/\n\nvar Buffer = require('safe-buffer').Buffer\n\nfunction asUInt32Array (buf) {\n  if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf)\n\n  var len = (buf.length / 4) | 0\n  var out = new Array(len)\n\n  for (var i = 0; i < len; i++) {\n    out[i] = buf.readUInt32BE(i * 4)\n  }\n\n  return out\n}\n\nfunction scrubVec (v) {\n  for (var i = 0; i < v.length; v++) {\n    v[i] = 0\n  }\n}\n\nfunction cryptBlock (M, keySchedule, SUB_MIX, SBOX, nRounds) {\n  var SUB_MIX0 = SUB_MIX[0]\n  var SUB_MIX1 = SUB_MIX[1]\n  var SUB_MIX2 = SUB_MIX[2]\n  var SUB_MIX3 = SUB_MIX[3]\n\n  var s0 = M[0] ^ keySchedule[0]\n  var s1 = M[1] ^ keySchedule[1]\n  var s2 = M[2] ^ keySchedule[2]\n  var s3 = M[3] ^ keySchedule[3]\n  var t0, t1, t2, t3\n  var ksRow = 4\n\n  for (var round = 1; round < nRounds; round++) {\n    t0 = SUB_MIX0[s0 >>> 24] ^ SUB_MIX1[(s1 >>> 16) & 0xff] ^ SUB_MIX2[(s2 >>> 8) & 0xff] ^ SUB_MIX3[s3 & 0xff] ^ keySchedule[ksRow++]\n    t1 = SUB_MIX0[s1 >>> 24] ^ SUB_MIX1[(s2 >>> 16) & 0xff] ^ SUB_MIX2[(s3 >>> 8) & 0xff] ^ SUB_MIX3[s0 & 0xff] ^ keySchedule[ksRow++]\n    t2 = SUB_MIX0[s2 >>> 24] ^ SUB_MIX1[(s3 >>> 16) & 0xff] ^ SUB_MIX2[(s0 >>> 8) & 0xff] ^ SUB_MIX3[s1 & 0xff] ^ keySchedule[ksRow++]\n    t3 = SUB_MIX0[s3 >>> 24] ^ SUB_MIX1[(s0 >>> 16) & 0xff] ^ SUB_MIX2[(s1 >>> 8) & 0xff] ^ SUB_MIX3[s2 & 0xff] ^ keySchedule[ksRow++]\n    s0 = t0\n    s1 = t1\n    s2 = t2\n    s3 = t3\n  }\n\n  t0 = ((SBOX[s0 >>> 24] << 24) | (SBOX[(s1 >>> 16) & 0xff] << 16) | (SBOX[(s2 >>> 8) & 0xff] << 8) | SBOX[s3 & 0xff]) ^ keySchedule[ksRow++]\n  t1 = ((SBOX[s1 >>> 24] << 24) | (SBOX[(s2 >>> 16) & 0xff] << 16) | (SBOX[(s3 >>> 8) & 0xff] << 8) | SBOX[s0 & 0xff]) ^ keySchedule[ksRow++]\n  t2 = ((SBOX[s2 >>> 24] << 24) | (SBOX[(s3 >>> 16) & 0xff] << 16) | (SBOX[(s0 >>> 8) & 0xff] << 8) | SBOX[s1 & 0xff]) ^ keySchedule[ksRow++]\n  t3 = ((SBOX[s3 >>> 24] << 24) | (SBOX[(s0 >>> 16) & 0xff] << 16) | (SBOX[(s1 >>> 8) & 0xff] << 8) | SBOX[s2 & 0xff]) ^ keySchedule[ksRow++]\n  t0 = t0 >>> 0\n  t1 = t1 >>> 0\n  t2 = t2 >>> 0\n  t3 = t3 >>> 0\n\n  return [t0, t1, t2, t3]\n}\n\n// AES constants\nvar RCON = [0x00, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x1b, 0x36]\nvar G = (function () {\n  // Compute double table\n  var d = new Array(256)\n  for (var j = 0; j < 256; j++) {\n    if (j < 128) {\n      d[j] = j << 1\n    } else {\n      d[j] = (j << 1) ^ 0x11b\n    }\n  }\n\n  var SBOX = []\n  var INV_SBOX = []\n  var SUB_MIX = [[], [], [], []]\n  var INV_SUB_MIX = [[], [], [], []]\n\n  // Walk GF(2^8)\n  var x = 0\n  var xi = 0\n  for (var i = 0; i < 256; ++i) {\n    // Compute sbox\n    var sx = xi ^ (xi << 1) ^ (xi << 2) ^ (xi << 3) ^ (xi << 4)\n    sx = (sx >>> 8) ^ (sx & 0xff) ^ 0x63\n    SBOX[x] = sx\n    INV_SBOX[sx] = x\n\n    // Compute multiplication\n    var x2 = d[x]\n    var x4 = d[x2]\n    var x8 = d[x4]\n\n    // Compute sub bytes, mix columns tables\n    var t = (d[sx] * 0x101) ^ (sx * 0x1010100)\n    SUB_MIX[0][x] = (t << 24) | (t >>> 8)\n    SUB_MIX[1][x] = (t << 16) | (t >>> 16)\n    SUB_MIX[2][x] = (t << 8) | (t >>> 24)\n    SUB_MIX[3][x] = t\n\n    // Compute inv sub bytes, inv mix columns tables\n    t = (x8 * 0x1010101) ^ (x4 * 0x10001) ^ (x2 * 0x101) ^ (x * 0x1010100)\n    INV_SUB_MIX[0][sx] = (t << 24) | (t >>> 8)\n    INV_SUB_MIX[1][sx] = (t << 16) | (t >>> 16)\n    INV_SUB_MIX[2][sx] = (t << 8) | (t >>> 24)\n    INV_SUB_MIX[3][sx] = t\n\n    if (x === 0) {\n      x = xi = 1\n    } else {\n      x = x2 ^ d[d[d[x8 ^ x2]]]\n      xi ^= d[d[xi]]\n    }\n  }\n\n  return {\n    SBOX: SBOX,\n    INV_SBOX: INV_SBOX,\n    SUB_MIX: SUB_MIX,\n    INV_SUB_MIX: INV_SUB_MIX\n  }\n})()\n\nfunction AES (key) {\n  this._key = asUInt32Array(key)\n  this._reset()\n}\n\nAES.blockSize = 4 * 4\nAES.keySize = 256 / 8\nAES.prototype.blockSize = AES.blockSize\nAES.prototype.keySize = AES.keySize\nAES.prototype._reset = function () {\n  var keyWords = this._key\n  var keySize = keyWords.length\n  var nRounds = keySize + 6\n  var ksRows = (nRounds + 1) * 4\n\n  var keySchedule = []\n  for (var k = 0; k < keySize; k++) {\n    keySchedule[k] = keyWords[k]\n  }\n\n  for (k = keySize; k < ksRows; k++) {\n    var t = keySchedule[k - 1]\n\n    if (k % keySize === 0) {\n      t = (t << 8) | (t >>> 24)\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n\n      t ^= RCON[(k / keySize) | 0] << 24\n    } else if (keySize > 6 && k % keySize === 4) {\n      t =\n        (G.SBOX[t >>> 24] << 24) |\n        (G.SBOX[(t >>> 16) & 0xff] << 16) |\n        (G.SBOX[(t >>> 8) & 0xff] << 8) |\n        (G.SBOX[t & 0xff])\n    }\n\n    keySchedule[k] = keySchedule[k - keySize] ^ t\n  }\n\n  var invKeySchedule = []\n  for (var ik = 0; ik < ksRows; ik++) {\n    var ksR = ksRows - ik\n    var tt = keySchedule[ksR - (ik % 4 ? 0 : 4)]\n\n    if (ik < 4 || ksR <= 4) {\n      invKeySchedule[ik] = tt\n    } else {\n      invKeySchedule[ik] =\n        G.INV_SUB_MIX[0][G.SBOX[tt >>> 24]] ^\n        G.INV_SUB_MIX[1][G.SBOX[(tt >>> 16) & 0xff]] ^\n        G.INV_SUB_MIX[2][G.SBOX[(tt >>> 8) & 0xff]] ^\n        G.INV_SUB_MIX[3][G.SBOX[tt & 0xff]]\n    }\n  }\n\n  this._nRounds = nRounds\n  this._keySchedule = keySchedule\n  this._invKeySchedule = invKeySchedule\n}\n\nAES.prototype.encryptBlockRaw = function (M) {\n  M = asUInt32Array(M)\n  return cryptBlock(M, this._keySchedule, G.SUB_MIX, G.SBOX, this._nRounds)\n}\n\nAES.prototype.encryptBlock = function (M) {\n  var out = this.encryptBlockRaw(M)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[1], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[3], 12)\n  return buf\n}\n\nAES.prototype.decryptBlock = function (M) {\n  M = asUInt32Array(M)\n\n  // swap\n  var m1 = M[1]\n  M[1] = M[3]\n  M[3] = m1\n\n  var out = cryptBlock(M, this._invKeySchedule, G.INV_SUB_MIX, G.INV_SBOX, this._nRounds)\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0], 0)\n  buf.writeUInt32BE(out[3], 4)\n  buf.writeUInt32BE(out[2], 8)\n  buf.writeUInt32BE(out[1], 12)\n  return buf\n}\n\nAES.prototype.scrub = function () {\n  scrubVec(this._keySchedule)\n  scrubVec(this._invKeySchedule)\n  scrubVec(this._key)\n}\n\nmodule.exports.AES = AES\n","var Buffer = require('safe-buffer').Buffer\nvar ZEROES = Buffer.alloc(16, 0)\n\nfunction toArray (buf) {\n  return [\n    buf.readUInt32BE(0),\n    buf.readUInt32BE(4),\n    buf.readUInt32BE(8),\n    buf.readUInt32BE(12)\n  ]\n}\n\nfunction fromArray (out) {\n  var buf = Buffer.allocUnsafe(16)\n  buf.writeUInt32BE(out[0] >>> 0, 0)\n  buf.writeUInt32BE(out[1] >>> 0, 4)\n  buf.writeUInt32BE(out[2] >>> 0, 8)\n  buf.writeUInt32BE(out[3] >>> 0, 12)\n  return buf\n}\n\nfunction GHASH (key) {\n  this.h = key\n  this.state = Buffer.alloc(16, 0)\n  this.cache = Buffer.allocUnsafe(0)\n}\n\n// from http://bitwiseshiftleft.github.io/sjcl/doc/symbols/src/core_gcm.js.html\n// by Juho Vähä-Herttua\nGHASH.prototype.ghash = function (block) {\n  var i = -1\n  while (++i < block.length) {\n    this.state[i] ^= block[i]\n  }\n  this._multiply()\n}\n\nGHASH.prototype._multiply = function () {\n  var Vi = toArray(this.h)\n  var Zi = [0, 0, 0, 0]\n  var j, xi, lsbVi\n  var i = -1\n  while (++i < 128) {\n    xi = (this.state[~~(i / 8)] & (1 << (7 - (i % 8)))) !== 0\n    if (xi) {\n      // Z_i+1 = Z_i ^ V_i\n      Zi[0] ^= Vi[0]\n      Zi[1] ^= Vi[1]\n      Zi[2] ^= Vi[2]\n      Zi[3] ^= Vi[3]\n    }\n\n    // Store the value of LSB(V_i)\n    lsbVi = (Vi[3] & 1) !== 0\n\n    // V_i+1 = V_i >> 1\n    for (j = 3; j > 0; j--) {\n      Vi[j] = (Vi[j] >>> 1) | ((Vi[j - 1] & 1) << 31)\n    }\n    Vi[0] = Vi[0] >>> 1\n\n    // If LSB(V_i) is 1, V_i+1 = (V_i >> 1) ^ R\n    if (lsbVi) {\n      Vi[0] = Vi[0] ^ (0xe1 << 24)\n    }\n  }\n  this.state = fromArray(Zi)\n}\n\nGHASH.prototype.update = function (buf) {\n  this.cache = Buffer.concat([this.cache, buf])\n  var chunk\n  while (this.cache.length >= 16) {\n    chunk = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    this.ghash(chunk)\n  }\n}\n\nGHASH.prototype.final = function (abl, bl) {\n  if (this.cache.length) {\n    this.ghash(Buffer.concat([this.cache, ZEROES], 16))\n  }\n\n  this.ghash(fromArray([0, abl, 0, bl]))\n  return this.state\n}\n\nmodule.exports = GHASH\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\nvar GHASH = require('./ghash')\nvar xor = require('buffer-xor')\nvar incr32 = require('./incr32')\n\nfunction xorTest (a, b) {\n  var out = 0\n  if (a.length !== b.length) out++\n\n  var len = Math.min(a.length, b.length)\n  for (var i = 0; i < len; ++i) {\n    out += (a[i] ^ b[i])\n  }\n\n  return out\n}\n\nfunction calcIv (self, iv, ck) {\n  if (iv.length === 12) {\n    self._finID = Buffer.concat([iv, Buffer.from([0, 0, 0, 1])])\n    return Buffer.concat([iv, Buffer.from([0, 0, 0, 2])])\n  }\n  var ghash = new GHASH(ck)\n  var len = iv.length\n  var toPad = len % 16\n  ghash.update(iv)\n  if (toPad) {\n    toPad = 16 - toPad\n    ghash.update(Buffer.alloc(toPad, 0))\n  }\n  ghash.update(Buffer.alloc(8, 0))\n  var ivBits = len * 8\n  var tail = Buffer.alloc(8)\n  tail.writeUIntBE(ivBits, 0, 8)\n  ghash.update(tail)\n  self._finID = ghash.state\n  var out = Buffer.from(self._finID)\n  incr32(out)\n  return out\n}\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  var h = Buffer.alloc(4, 0)\n\n  this._cipher = new aes.AES(key)\n  var ck = this._cipher.encryptBlock(h)\n  this._ghash = new GHASH(ck)\n  iv = calcIv(this, iv, ck)\n\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._alen = 0\n  this._len = 0\n  this._mode = mode\n\n  this._authTag = null\n  this._called = false\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  if (!this._called && this._alen) {\n    var rump = 16 - (this._alen % 16)\n    if (rump < 16) {\n      rump = Buffer.alloc(rump, 0)\n      this._ghash.update(rump)\n    }\n  }\n\n  this._called = true\n  var out = this._mode.encrypt(this, chunk)\n  if (this._decrypt) {\n    this._ghash.update(chunk)\n  } else {\n    this._ghash.update(out)\n  }\n  this._len += chunk.length\n  return out\n}\n\nStreamCipher.prototype._final = function () {\n  if (this._decrypt && !this._authTag) throw new Error('Unsupported state or unable to authenticate data')\n\n  var tag = xor(this._ghash.final(this._alen * 8, this._len * 8), this._cipher.encryptBlock(this._finID))\n  if (this._decrypt && xorTest(tag, this._authTag)) throw new Error('Unsupported state or unable to authenticate data')\n\n  this._authTag = tag\n  this._cipher.scrub()\n}\n\nStreamCipher.prototype.getAuthTag = function getAuthTag () {\n  if (this._decrypt || !Buffer.isBuffer(this._authTag)) throw new Error('Attempting to get auth tag in unsupported state')\n\n  return this._authTag\n}\n\nStreamCipher.prototype.setAuthTag = function setAuthTag (tag) {\n  if (!this._decrypt) throw new Error('Attempting to set auth tag in unsupported state')\n\n  this._authTag = tag\n}\n\nStreamCipher.prototype.setAAD = function setAAD (buf) {\n  if (this._called) throw new Error('Attempting to set AAD in unsupported state')\n\n  this._ghash.update(buf)\n  this._alen += buf.length\n}\n\nmodule.exports = StreamCipher\n","var aes = require('./aes')\nvar Buffer = require('safe-buffer').Buffer\nvar Transform = require('cipher-base')\nvar inherits = require('inherits')\n\nfunction StreamCipher (mode, key, iv, decrypt) {\n  Transform.call(this)\n\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._cache = Buffer.allocUnsafe(0)\n  this._secCache = Buffer.allocUnsafe(0)\n  this._decrypt = decrypt\n  this._mode = mode\n}\n\ninherits(StreamCipher, Transform)\n\nStreamCipher.prototype._update = function (chunk) {\n  return this._mode.encrypt(this, chunk, this._decrypt)\n}\n\nStreamCipher.prototype._final = function () {\n  this._cipher.scrub()\n}\n\nmodule.exports = StreamCipher\n","var Buffer = require('safe-buffer').Buffer\nvar MD5 = require('md5.js')\n\n/* eslint-disable camelcase */\nfunction EVP_BytesToKey (password, salt, keyBits, ivLen) {\n  if (!Buffer.isBuffer(password)) password = Buffer.from(password, 'binary')\n  if (salt) {\n    if (!Buffer.isBuffer(salt)) salt = Buffer.from(salt, 'binary')\n    if (salt.length !== 8) throw new RangeError('salt should be Buffer with 8 byte length')\n  }\n\n  var keyLen = keyBits / 8\n  var key = Buffer.alloc(keyLen)\n  var iv = Buffer.alloc(ivLen || 0)\n  var tmp = Buffer.alloc(0)\n\n  while (keyLen > 0 || ivLen > 0) {\n    var hash = new MD5()\n    hash.update(tmp)\n    hash.update(password)\n    if (salt) hash.update(salt)\n    tmp = hash.digest()\n\n    var used = 0\n\n    if (keyLen > 0) {\n      var keyStart = key.length - keyLen\n      used = Math.min(keyLen, tmp.length)\n      tmp.copy(key, keyStart, 0, used)\n      keyLen -= used\n    }\n\n    if (used < tmp.length && ivLen > 0) {\n      var ivStart = iv.length - ivLen\n      var length = Math.min(ivLen, tmp.length - used)\n      tmp.copy(iv, ivStart, used, used + length)\n      ivLen -= length\n    }\n  }\n\n  tmp.fill(0)\n  return { key: key, iv: iv }\n}\n\nmodule.exports = EVP_BytesToKey\n","var MODES = require('./modes')\nvar AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Cipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Cipher, Transform)\n\nCipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n\n  while ((chunk = this._cache.get())) {\n    thing = this._mode.encrypt(this, chunk)\n    out.push(thing)\n  }\n\n  return Buffer.concat(out)\n}\n\nvar PADDING = Buffer.alloc(16, 0x10)\n\nCipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    chunk = this._mode.encrypt(this, chunk)\n    this._cipher.scrub()\n    return chunk\n  }\n\n  if (!chunk.equals(PADDING)) {\n    this._cipher.scrub()\n    throw new Error('data not multiple of block length')\n  }\n}\n\nCipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function () {\n  if (this.cache.length > 15) {\n    var out = this.cache.slice(0, 16)\n    this.cache = this.cache.slice(16)\n    return out\n  }\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  var len = 16 - this.cache.length\n  var padBuff = Buffer.allocUnsafe(len)\n\n  var i = -1\n  while (++i < len) {\n    padBuff.writeUInt8(len, i)\n  }\n\n  return Buffer.concat([this.cache, padBuff])\n}\n\nfunction createCipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv)\n  }\n\n  return new Cipher(config.module, password, iv)\n}\n\nfunction createCipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createCipheriv = createCipheriv\nexports.createCipher = createCipher\n","var AuthCipher = require('./authCipher')\nvar Buffer = require('safe-buffer').Buffer\nvar MODES = require('./modes')\nvar StreamCipher = require('./streamCipher')\nvar Transform = require('cipher-base')\nvar aes = require('./aes')\nvar ebtk = require('evp_bytestokey')\nvar inherits = require('inherits')\n\nfunction Decipher (mode, key, iv) {\n  Transform.call(this)\n\n  this._cache = new Splitter()\n  this._last = void 0\n  this._cipher = new aes.AES(key)\n  this._prev = Buffer.from(iv)\n  this._mode = mode\n  this._autopadding = true\n}\n\ninherits(Decipher, Transform)\n\nDecipher.prototype._update = function (data) {\n  this._cache.add(data)\n  var chunk\n  var thing\n  var out = []\n  while ((chunk = this._cache.get(this._autopadding))) {\n    thing = this._mode.decrypt(this, chunk)\n    out.push(thing)\n  }\n  return Buffer.concat(out)\n}\n\nDecipher.prototype._final = function () {\n  var chunk = this._cache.flush()\n  if (this._autopadding) {\n    return unpad(this._mode.decrypt(this, chunk))\n  } else if (chunk) {\n    throw new Error('data not multiple of block length')\n  }\n}\n\nDecipher.prototype.setAutoPadding = function (setTo) {\n  this._autopadding = !!setTo\n  return this\n}\n\nfunction Splitter () {\n  this.cache = Buffer.allocUnsafe(0)\n}\n\nSplitter.prototype.add = function (data) {\n  this.cache = Buffer.concat([this.cache, data])\n}\n\nSplitter.prototype.get = function (autoPadding) {\n  var out\n  if (autoPadding) {\n    if (this.cache.length > 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  } else {\n    if (this.cache.length >= 16) {\n      out = this.cache.slice(0, 16)\n      this.cache = this.cache.slice(16)\n      return out\n    }\n  }\n\n  return null\n}\n\nSplitter.prototype.flush = function () {\n  if (this.cache.length) return this.cache\n}\n\nfunction unpad (last) {\n  var padded = last[15]\n  if (padded < 1 || padded > 16) {\n    throw new Error('unable to decrypt data')\n  }\n  var i = -1\n  while (++i < padded) {\n    if (last[(i + (16 - padded))] !== padded) {\n      throw new Error('unable to decrypt data')\n    }\n  }\n  if (padded === 16) return\n\n  return last.slice(0, 16 - padded)\n}\n\nfunction createDecipheriv (suite, password, iv) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  if (typeof iv === 'string') iv = Buffer.from(iv)\n  if (config.mode !== 'GCM' && iv.length !== config.iv) throw new TypeError('invalid iv length ' + iv.length)\n\n  if (typeof password === 'string') password = Buffer.from(password)\n  if (password.length !== config.key / 8) throw new TypeError('invalid key length ' + password.length)\n\n  if (config.type === 'stream') {\n    return new StreamCipher(config.module, password, iv, true)\n  } else if (config.type === 'auth') {\n    return new AuthCipher(config.module, password, iv, true)\n  }\n\n  return new Decipher(config.module, password, iv)\n}\n\nfunction createDecipher (suite, password) {\n  var config = MODES[suite.toLowerCase()]\n  if (!config) throw new TypeError('invalid suite type')\n\n  var keys = ebtk(password, false, config.key, config.iv)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nexports.createDecipher = createDecipher\nexports.createDecipheriv = createDecipheriv\n","var ciphers = require('./encrypter')\nvar deciphers = require('./decrypter')\nvar modes = require('./modes/list.json')\n\nfunction getCiphers () {\n  return Object.keys(modes)\n}\n\nexports.createCipher = exports.Cipher = ciphers.createCipher\nexports.createCipheriv = exports.Cipheriv = ciphers.createCipheriv\nexports.createDecipher = exports.Decipher = deciphers.createDecipher\nexports.createDecipheriv = exports.Decipheriv = deciphers.createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","exports['des-ecb'] = {\n  key: 8,\n  iv: 0\n}\nexports['des-cbc'] = exports.des = {\n  key: 8,\n  iv: 8\n}\nexports['des-ede3-cbc'] = exports.des3 = {\n  key: 24,\n  iv: 8\n}\nexports['des-ede3'] = {\n  key: 24,\n  iv: 0\n}\nexports['des-ede-cbc'] = {\n  key: 16,\n  iv: 8\n}\nexports['des-ede'] = {\n  key: 16,\n  iv: 0\n}\n","var DES = require('browserify-des')\nvar aes = require('browserify-aes/browser')\nvar aesModes = require('browserify-aes/modes')\nvar desModes = require('browserify-des/modes')\nvar ebtk = require('evp_bytestokey')\n\nfunction createCipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createCipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createDecipher (suite, password) {\n  suite = suite.toLowerCase()\n\n  var keyLen, ivLen\n  if (aesModes[suite]) {\n    keyLen = aesModes[suite].key\n    ivLen = aesModes[suite].iv\n  } else if (desModes[suite]) {\n    keyLen = desModes[suite].key * 8\n    ivLen = desModes[suite].iv\n  } else {\n    throw new TypeError('invalid suite type')\n  }\n\n  var keys = ebtk(password, false, keyLen, ivLen)\n  return createDecipheriv(suite, keys.key, keys.iv)\n}\n\nfunction createCipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createCipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction createDecipheriv (suite, key, iv) {\n  suite = suite.toLowerCase()\n  if (aesModes[suite]) return aes.createDecipheriv(suite, key, iv)\n  if (desModes[suite]) return new DES({ key: key, iv: iv, mode: suite, decrypt: true })\n\n  throw new TypeError('invalid suite type')\n}\n\nfunction getCiphers () {\n  return Object.keys(desModes).concat(aes.getCiphers())\n}\n\nexports.createCipher = exports.Cipher = createCipher\nexports.createCipheriv = exports.Cipheriv = createCipheriv\nexports.createDecipher = exports.Decipher = createDecipher\nexports.createDecipheriv = exports.Decipheriv = createDecipheriv\nexports.listCiphers = exports.getCiphers = getCiphers\n","(function (module, exports) {\n  'use strict';\n\n  // Utils\n  function assert (val, msg) {\n    if (!val) throw new Error(msg || 'Assertion failed');\n  }\n\n  // Could use `inherits` module, but don't want to move from single file\n  // architecture yet.\n  function inherits (ctor, superCtor) {\n    ctor.super_ = superCtor;\n    var TempCtor = function () {};\n    TempCtor.prototype = superCtor.prototype;\n    ctor.prototype = new TempCtor();\n    ctor.prototype.constructor = ctor;\n  }\n\n  // BN\n\n  function BN (number, base, endian) {\n    if (BN.isBN(number)) {\n      return number;\n    }\n\n    this.negative = 0;\n    this.words = null;\n    this.length = 0;\n\n    // Reduction context\n    this.red = null;\n\n    if (number !== null) {\n      if (base === 'le' || base === 'be') {\n        endian = base;\n        base = 10;\n      }\n\n      this._init(number || 0, base || 10, endian || 'be');\n    }\n  }\n  if (typeof module === 'object') {\n    module.exports = BN;\n  } else {\n    exports.BN = BN;\n  }\n\n  BN.BN = BN;\n  BN.wordSize = 26;\n\n  var Buffer;\n  try {\n    Buffer = require('buffer').Buffer;\n  } catch (e) {\n  }\n\n  BN.isBN = function isBN (num) {\n    if (num instanceof BN) {\n      return true;\n    }\n\n    return num !== null && typeof num === 'object' &&\n      num.constructor.wordSize === BN.wordSize && Array.isArray(num.words);\n  };\n\n  BN.max = function max (left, right) {\n    if (left.cmp(right) > 0) return left;\n    return right;\n  };\n\n  BN.min = function min (left, right) {\n    if (left.cmp(right) < 0) return left;\n    return right;\n  };\n\n  BN.prototype._init = function init (number, base, endian) {\n    if (typeof number === 'number') {\n      return this._initNumber(number, base, endian);\n    }\n\n    if (typeof number === 'object') {\n      return this._initArray(number, base, endian);\n    }\n\n    if (base === 'hex') {\n      base = 16;\n    }\n    assert(base === (base | 0) && base >= 2 && base <= 36);\n\n    number = number.toString().replace(/\\s+/g, '');\n    var start = 0;\n    if (number[0] === '-') {\n      start++;\n    }\n\n    if (base === 16) {\n      this._parseHex(number, start);\n    } else {\n      this._parseBase(number, base, start);\n    }\n\n    if (number[0] === '-') {\n      this.negative = 1;\n    }\n\n    this.strip();\n\n    if (endian !== 'le') return;\n\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initNumber = function _initNumber (number, base, endian) {\n    if (number < 0) {\n      this.negative = 1;\n      number = -number;\n    }\n    if (number < 0x4000000) {\n      this.words = [ number & 0x3ffffff ];\n      this.length = 1;\n    } else if (number < 0x10000000000000) {\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff\n      ];\n      this.length = 2;\n    } else {\n      assert(number < 0x20000000000000); // 2 ^ 53 (unsafe)\n      this.words = [\n        number & 0x3ffffff,\n        (number / 0x4000000) & 0x3ffffff,\n        1\n      ];\n      this.length = 3;\n    }\n\n    if (endian !== 'le') return;\n\n    // Reverse the bytes\n    this._initArray(this.toArray(), base, endian);\n  };\n\n  BN.prototype._initArray = function _initArray (number, base, endian) {\n    // Perhaps a Uint8Array\n    assert(typeof number.length === 'number');\n    if (number.length <= 0) {\n      this.words = [ 0 ];\n      this.length = 1;\n      return this;\n    }\n\n    this.length = Math.ceil(number.length / 3);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    var off = 0;\n    if (endian === 'be') {\n      for (i = number.length - 1, j = 0; i >= 0; i -= 3) {\n        w = number[i] | (number[i - 1] << 8) | (number[i - 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    } else if (endian === 'le') {\n      for (i = 0, j = 0; i < number.length; i += 3) {\n        w = number[i] | (number[i + 1] << 8) | (number[i + 2] << 16);\n        this.words[j] |= (w << off) & 0x3ffffff;\n        this.words[j + 1] = (w >>> (26 - off)) & 0x3ffffff;\n        off += 24;\n        if (off >= 26) {\n          off -= 26;\n          j++;\n        }\n      }\n    }\n    return this.strip();\n  };\n\n  function parseHex (str, start, end) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r <<= 4;\n\n      // 'a' - 'f'\n      if (c >= 49 && c <= 54) {\n        r |= c - 49 + 0xa;\n\n      // 'A' - 'F'\n      } else if (c >= 17 && c <= 22) {\n        r |= c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r |= c & 0xf;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseHex = function _parseHex (number, start) {\n    // Create possibly bigger array to ensure that it fits the number\n    this.length = Math.ceil((number.length - start) / 6);\n    this.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      this.words[i] = 0;\n    }\n\n    var j, w;\n    // Scan 24-bit chunks and add them to the number\n    var off = 0;\n    for (i = number.length - 6, j = 0; i >= start; i -= 6) {\n      w = parseHex(number, i, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      // NOTE: `0x3fffff` is intentional here, 26bits max shift + 24bit hex limb\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n      off += 24;\n      if (off >= 26) {\n        off -= 26;\n        j++;\n      }\n    }\n    if (i + 6 !== start) {\n      w = parseHex(number, start, i + 6);\n      this.words[j] |= (w << off) & 0x3ffffff;\n      this.words[j + 1] |= w >>> (26 - off) & 0x3fffff;\n    }\n    this.strip();\n  };\n\n  function parseBase (str, start, end, mul) {\n    var r = 0;\n    var len = Math.min(str.length, end);\n    for (var i = start; i < len; i++) {\n      var c = str.charCodeAt(i) - 48;\n\n      r *= mul;\n\n      // 'a'\n      if (c >= 49) {\n        r += c - 49 + 0xa;\n\n      // 'A'\n      } else if (c >= 17) {\n        r += c - 17 + 0xa;\n\n      // '0' - '9'\n      } else {\n        r += c;\n      }\n    }\n    return r;\n  }\n\n  BN.prototype._parseBase = function _parseBase (number, base, start) {\n    // Initialize as zero\n    this.words = [ 0 ];\n    this.length = 1;\n\n    // Find length of limb in base\n    for (var limbLen = 0, limbPow = 1; limbPow <= 0x3ffffff; limbPow *= base) {\n      limbLen++;\n    }\n    limbLen--;\n    limbPow = (limbPow / base) | 0;\n\n    var total = number.length - start;\n    var mod = total % limbLen;\n    var end = Math.min(total, total - mod) + start;\n\n    var word = 0;\n    for (var i = start; i < end; i += limbLen) {\n      word = parseBase(number, i, i + limbLen, base);\n\n      this.imuln(limbPow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n\n    if (mod !== 0) {\n      var pow = 1;\n      word = parseBase(number, i, number.length, base);\n\n      for (i = 0; i < mod; i++) {\n        pow *= base;\n      }\n\n      this.imuln(pow);\n      if (this.words[0] + word < 0x4000000) {\n        this.words[0] += word;\n      } else {\n        this._iaddn(word);\n      }\n    }\n  };\n\n  BN.prototype.copy = function copy (dest) {\n    dest.words = new Array(this.length);\n    for (var i = 0; i < this.length; i++) {\n      dest.words[i] = this.words[i];\n    }\n    dest.length = this.length;\n    dest.negative = this.negative;\n    dest.red = this.red;\n  };\n\n  BN.prototype.clone = function clone () {\n    var r = new BN(null);\n    this.copy(r);\n    return r;\n  };\n\n  BN.prototype._expand = function _expand (size) {\n    while (this.length < size) {\n      this.words[this.length++] = 0;\n    }\n    return this;\n  };\n\n  // Remove leading `0` from `this`\n  BN.prototype.strip = function strip () {\n    while (this.length > 1 && this.words[this.length - 1] === 0) {\n      this.length--;\n    }\n    return this._normSign();\n  };\n\n  BN.prototype._normSign = function _normSign () {\n    // -0 = 0\n    if (this.length === 1 && this.words[0] === 0) {\n      this.negative = 0;\n    }\n    return this;\n  };\n\n  BN.prototype.inspect = function inspect () {\n    return (this.red ? '<BN-R: ' : '<BN: ') + this.toString(16) + '>';\n  };\n\n  /*\n\n  var zeros = [];\n  var groupSizes = [];\n  var groupBases = [];\n\n  var s = '';\n  var i = -1;\n  while (++i < BN.wordSize) {\n    zeros[i] = s;\n    s += '0';\n  }\n  groupSizes[0] = 0;\n  groupSizes[1] = 0;\n  groupBases[0] = 0;\n  groupBases[1] = 0;\n  var base = 2 - 1;\n  while (++base < 36 + 1) {\n    var groupSize = 0;\n    var groupBase = 1;\n    while (groupBase < (1 << BN.wordSize) / base) {\n      groupBase *= base;\n      groupSize += 1;\n    }\n    groupSizes[base] = groupSize;\n    groupBases[base] = groupBase;\n  }\n\n  */\n\n  var zeros = [\n    '',\n    '0',\n    '00',\n    '000',\n    '0000',\n    '00000',\n    '000000',\n    '0000000',\n    '00000000',\n    '000000000',\n    '0000000000',\n    '00000000000',\n    '000000000000',\n    '0000000000000',\n    '00000000000000',\n    '000000000000000',\n    '0000000000000000',\n    '00000000000000000',\n    '000000000000000000',\n    '0000000000000000000',\n    '00000000000000000000',\n    '000000000000000000000',\n    '0000000000000000000000',\n    '00000000000000000000000',\n    '000000000000000000000000',\n    '0000000000000000000000000'\n  ];\n\n  var groupSizes = [\n    0, 0,\n    25, 16, 12, 11, 10, 9, 8,\n    8, 7, 7, 7, 7, 6, 6,\n    6, 6, 6, 6, 6, 5, 5,\n    5, 5, 5, 5, 5, 5, 5,\n    5, 5, 5, 5, 5, 5, 5\n  ];\n\n  var groupBases = [\n    0, 0,\n    33554432, 43046721, 16777216, 48828125, 60466176, 40353607, 16777216,\n    43046721, 10000000, 19487171, 35831808, 62748517, 7529536, 11390625,\n    16777216, 24137569, 34012224, 47045881, 64000000, 4084101, 5153632,\n    6436343, 7962624, 9765625, 11881376, 14348907, 17210368, 20511149,\n    24300000, 28629151, 33554432, 39135393, 45435424, 52521875, 60466176\n  ];\n\n  BN.prototype.toString = function toString (base, padding) {\n    base = base || 10;\n    padding = padding | 0 || 1;\n\n    var out;\n    if (base === 16 || base === 'hex') {\n      out = '';\n      var off = 0;\n      var carry = 0;\n      for (var i = 0; i < this.length; i++) {\n        var w = this.words[i];\n        var word = (((w << off) | carry) & 0xffffff).toString(16);\n        carry = (w >>> (24 - off)) & 0xffffff;\n        if (carry !== 0 || i !== this.length - 1) {\n          out = zeros[6 - word.length] + word + out;\n        } else {\n          out = word + out;\n        }\n        off += 2;\n        if (off >= 26) {\n          off -= 26;\n          i--;\n        }\n      }\n      if (carry !== 0) {\n        out = carry.toString(16) + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    if (base === (base | 0) && base >= 2 && base <= 36) {\n      // var groupSize = Math.floor(BN.wordSize * Math.LN2 / Math.log(base));\n      var groupSize = groupSizes[base];\n      // var groupBase = Math.pow(base, groupSize);\n      var groupBase = groupBases[base];\n      out = '';\n      var c = this.clone();\n      c.negative = 0;\n      while (!c.isZero()) {\n        var r = c.modn(groupBase).toString(base);\n        c = c.idivn(groupBase);\n\n        if (!c.isZero()) {\n          out = zeros[groupSize - r.length] + r + out;\n        } else {\n          out = r + out;\n        }\n      }\n      if (this.isZero()) {\n        out = '0' + out;\n      }\n      while (out.length % padding !== 0) {\n        out = '0' + out;\n      }\n      if (this.negative !== 0) {\n        out = '-' + out;\n      }\n      return out;\n    }\n\n    assert(false, 'Base should be between 2 and 36');\n  };\n\n  BN.prototype.toNumber = function toNumber () {\n    var ret = this.words[0];\n    if (this.length === 2) {\n      ret += this.words[1] * 0x4000000;\n    } else if (this.length === 3 && this.words[2] === 0x01) {\n      // NOTE: at this stage it is known that the top bit is set\n      ret += 0x10000000000000 + (this.words[1] * 0x4000000);\n    } else if (this.length > 2) {\n      assert(false, 'Number can only safely store up to 53 bits');\n    }\n    return (this.negative !== 0) ? -ret : ret;\n  };\n\n  BN.prototype.toJSON = function toJSON () {\n    return this.toString(16);\n  };\n\n  BN.prototype.toBuffer = function toBuffer (endian, length) {\n    assert(typeof Buffer !== 'undefined');\n    return this.toArrayLike(Buffer, endian, length);\n  };\n\n  BN.prototype.toArray = function toArray (endian, length) {\n    return this.toArrayLike(Array, endian, length);\n  };\n\n  BN.prototype.toArrayLike = function toArrayLike (ArrayType, endian, length) {\n    var byteLength = this.byteLength();\n    var reqLength = length || Math.max(1, byteLength);\n    assert(byteLength <= reqLength, 'byte array longer than desired length');\n    assert(reqLength > 0, 'Requested array length <= 0');\n\n    this.strip();\n    var littleEndian = endian === 'le';\n    var res = new ArrayType(reqLength);\n\n    var b, i;\n    var q = this.clone();\n    if (!littleEndian) {\n      // Assume big-endian\n      for (i = 0; i < reqLength - byteLength; i++) {\n        res[i] = 0;\n      }\n\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[reqLength - i - 1] = b;\n      }\n    } else {\n      for (i = 0; !q.isZero(); i++) {\n        b = q.andln(0xff);\n        q.iushrn(8);\n\n        res[i] = b;\n      }\n\n      for (; i < reqLength; i++) {\n        res[i] = 0;\n      }\n    }\n\n    return res;\n  };\n\n  if (Math.clz32) {\n    BN.prototype._countBits = function _countBits (w) {\n      return 32 - Math.clz32(w);\n    };\n  } else {\n    BN.prototype._countBits = function _countBits (w) {\n      var t = w;\n      var r = 0;\n      if (t >= 0x1000) {\n        r += 13;\n        t >>>= 13;\n      }\n      if (t >= 0x40) {\n        r += 7;\n        t >>>= 7;\n      }\n      if (t >= 0x8) {\n        r += 4;\n        t >>>= 4;\n      }\n      if (t >= 0x02) {\n        r += 2;\n        t >>>= 2;\n      }\n      return r + t;\n    };\n  }\n\n  BN.prototype._zeroBits = function _zeroBits (w) {\n    // Short-cut\n    if (w === 0) return 26;\n\n    var t = w;\n    var r = 0;\n    if ((t & 0x1fff) === 0) {\n      r += 13;\n      t >>>= 13;\n    }\n    if ((t & 0x7f) === 0) {\n      r += 7;\n      t >>>= 7;\n    }\n    if ((t & 0xf) === 0) {\n      r += 4;\n      t >>>= 4;\n    }\n    if ((t & 0x3) === 0) {\n      r += 2;\n      t >>>= 2;\n    }\n    if ((t & 0x1) === 0) {\n      r++;\n    }\n    return r;\n  };\n\n  // Return number of used bits in a BN\n  BN.prototype.bitLength = function bitLength () {\n    var w = this.words[this.length - 1];\n    var hi = this._countBits(w);\n    return (this.length - 1) * 26 + hi;\n  };\n\n  function toBitArray (num) {\n    var w = new Array(num.bitLength());\n\n    for (var bit = 0; bit < w.length; bit++) {\n      var off = (bit / 26) | 0;\n      var wbit = bit % 26;\n\n      w[bit] = (num.words[off] & (1 << wbit)) >>> wbit;\n    }\n\n    return w;\n  }\n\n  // Number of trailing zero bits\n  BN.prototype.zeroBits = function zeroBits () {\n    if (this.isZero()) return 0;\n\n    var r = 0;\n    for (var i = 0; i < this.length; i++) {\n      var b = this._zeroBits(this.words[i]);\n      r += b;\n      if (b !== 26) break;\n    }\n    return r;\n  };\n\n  BN.prototype.byteLength = function byteLength () {\n    return Math.ceil(this.bitLength() / 8);\n  };\n\n  BN.prototype.toTwos = function toTwos (width) {\n    if (this.negative !== 0) {\n      return this.abs().inotn(width).iaddn(1);\n    }\n    return this.clone();\n  };\n\n  BN.prototype.fromTwos = function fromTwos (width) {\n    if (this.testn(width - 1)) {\n      return this.notn(width).iaddn(1).ineg();\n    }\n    return this.clone();\n  };\n\n  BN.prototype.isNeg = function isNeg () {\n    return this.negative !== 0;\n  };\n\n  // Return negative clone of `this`\n  BN.prototype.neg = function neg () {\n    return this.clone().ineg();\n  };\n\n  BN.prototype.ineg = function ineg () {\n    if (!this.isZero()) {\n      this.negative ^= 1;\n    }\n\n    return this;\n  };\n\n  // Or `num` with `this` in-place\n  BN.prototype.iuor = function iuor (num) {\n    while (this.length < num.length) {\n      this.words[this.length++] = 0;\n    }\n\n    for (var i = 0; i < num.length; i++) {\n      this.words[i] = this.words[i] | num.words[i];\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ior = function ior (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuor(num);\n  };\n\n  // Or `num` with `this`\n  BN.prototype.or = function or (num) {\n    if (this.length > num.length) return this.clone().ior(num);\n    return num.clone().ior(this);\n  };\n\n  BN.prototype.uor = function uor (num) {\n    if (this.length > num.length) return this.clone().iuor(num);\n    return num.clone().iuor(this);\n  };\n\n  // And `num` with `this` in-place\n  BN.prototype.iuand = function iuand (num) {\n    // b = min-length(num, this)\n    var b;\n    if (this.length > num.length) {\n      b = num;\n    } else {\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = this.words[i] & num.words[i];\n    }\n\n    this.length = b.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.iand = function iand (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuand(num);\n  };\n\n  // And `num` with `this`\n  BN.prototype.and = function and (num) {\n    if (this.length > num.length) return this.clone().iand(num);\n    return num.clone().iand(this);\n  };\n\n  BN.prototype.uand = function uand (num) {\n    if (this.length > num.length) return this.clone().iuand(num);\n    return num.clone().iuand(this);\n  };\n\n  // Xor `num` with `this` in-place\n  BN.prototype.iuxor = function iuxor (num) {\n    // a.length > b.length\n    var a;\n    var b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    for (var i = 0; i < b.length; i++) {\n      this.words[i] = a.words[i] ^ b.words[i];\n    }\n\n    if (this !== a) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = a.length;\n\n    return this.strip();\n  };\n\n  BN.prototype.ixor = function ixor (num) {\n    assert((this.negative | num.negative) === 0);\n    return this.iuxor(num);\n  };\n\n  // Xor `num` with `this`\n  BN.prototype.xor = function xor (num) {\n    if (this.length > num.length) return this.clone().ixor(num);\n    return num.clone().ixor(this);\n  };\n\n  BN.prototype.uxor = function uxor (num) {\n    if (this.length > num.length) return this.clone().iuxor(num);\n    return num.clone().iuxor(this);\n  };\n\n  // Not ``this`` with ``width`` bitwidth\n  BN.prototype.inotn = function inotn (width) {\n    assert(typeof width === 'number' && width >= 0);\n\n    var bytesNeeded = Math.ceil(width / 26) | 0;\n    var bitsLeft = width % 26;\n\n    // Extend the buffer with leading zeroes\n    this._expand(bytesNeeded);\n\n    if (bitsLeft > 0) {\n      bytesNeeded--;\n    }\n\n    // Handle complete words\n    for (var i = 0; i < bytesNeeded; i++) {\n      this.words[i] = ~this.words[i] & 0x3ffffff;\n    }\n\n    // Handle the residue\n    if (bitsLeft > 0) {\n      this.words[i] = ~this.words[i] & (0x3ffffff >> (26 - bitsLeft));\n    }\n\n    // And remove leading zeroes\n    return this.strip();\n  };\n\n  BN.prototype.notn = function notn (width) {\n    return this.clone().inotn(width);\n  };\n\n  // Set `bit` of `this`\n  BN.prototype.setn = function setn (bit, val) {\n    assert(typeof bit === 'number' && bit >= 0);\n\n    var off = (bit / 26) | 0;\n    var wbit = bit % 26;\n\n    this._expand(off + 1);\n\n    if (val) {\n      this.words[off] = this.words[off] | (1 << wbit);\n    } else {\n      this.words[off] = this.words[off] & ~(1 << wbit);\n    }\n\n    return this.strip();\n  };\n\n  // Add `num` to `this` in-place\n  BN.prototype.iadd = function iadd (num) {\n    var r;\n\n    // negative + positive\n    if (this.negative !== 0 && num.negative === 0) {\n      this.negative = 0;\n      r = this.isub(num);\n      this.negative ^= 1;\n      return this._normSign();\n\n    // positive + negative\n    } else if (this.negative === 0 && num.negative !== 0) {\n      num.negative = 0;\n      r = this.isub(num);\n      num.negative = 1;\n      return r._normSign();\n    }\n\n    // a.length > b.length\n    var a, b;\n    if (this.length > num.length) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) + (b.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      this.words[i] = r & 0x3ffffff;\n      carry = r >>> 26;\n    }\n\n    this.length = a.length;\n    if (carry !== 0) {\n      this.words[this.length] = carry;\n      this.length++;\n    // Copy the rest of the words\n    } else if (a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    return this;\n  };\n\n  // Add `num` to `this`\n  BN.prototype.add = function add (num) {\n    var res;\n    if (num.negative !== 0 && this.negative === 0) {\n      num.negative = 0;\n      res = this.sub(num);\n      num.negative ^= 1;\n      return res;\n    } else if (num.negative === 0 && this.negative !== 0) {\n      this.negative = 0;\n      res = num.sub(this);\n      this.negative = 1;\n      return res;\n    }\n\n    if (this.length > num.length) return this.clone().iadd(num);\n\n    return num.clone().iadd(this);\n  };\n\n  // Subtract `num` from `this` in-place\n  BN.prototype.isub = function isub (num) {\n    // this - (-num) = this + num\n    if (num.negative !== 0) {\n      num.negative = 0;\n      var r = this.iadd(num);\n      num.negative = 1;\n      return r._normSign();\n\n    // -this - num = -(this + num)\n    } else if (this.negative !== 0) {\n      this.negative = 0;\n      this.iadd(num);\n      this.negative = 1;\n      return this._normSign();\n    }\n\n    // At this point both numbers are positive\n    var cmp = this.cmp(num);\n\n    // Optimization - zeroify\n    if (cmp === 0) {\n      this.negative = 0;\n      this.length = 1;\n      this.words[0] = 0;\n      return this;\n    }\n\n    // a > b\n    var a, b;\n    if (cmp > 0) {\n      a = this;\n      b = num;\n    } else {\n      a = num;\n      b = this;\n    }\n\n    var carry = 0;\n    for (var i = 0; i < b.length; i++) {\n      r = (a.words[i] | 0) - (b.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n    for (; carry !== 0 && i < a.length; i++) {\n      r = (a.words[i] | 0) + carry;\n      carry = r >> 26;\n      this.words[i] = r & 0x3ffffff;\n    }\n\n    // Copy rest of the words\n    if (carry === 0 && i < a.length && a !== this) {\n      for (; i < a.length; i++) {\n        this.words[i] = a.words[i];\n      }\n    }\n\n    this.length = Math.max(this.length, i);\n\n    if (a !== this) {\n      this.negative = 1;\n    }\n\n    return this.strip();\n  };\n\n  // Subtract `num` from `this`\n  BN.prototype.sub = function sub (num) {\n    return this.clone().isub(num);\n  };\n\n  function smallMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    var len = (self.length + num.length) | 0;\n    out.length = len;\n    len = (len - 1) | 0;\n\n    // Peel one iteration (compiler can't do it, because of code complexity)\n    var a = self.words[0] | 0;\n    var b = num.words[0] | 0;\n    var r = a * b;\n\n    var lo = r & 0x3ffffff;\n    var carry = (r / 0x4000000) | 0;\n    out.words[0] = lo;\n\n    for (var k = 1; k < len; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = carry >>> 26;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = (k - j) | 0;\n        a = self.words[i] | 0;\n        b = num.words[j] | 0;\n        r = a * b + rword;\n        ncarry += (r / 0x4000000) | 0;\n        rword = r & 0x3ffffff;\n      }\n      out.words[k] = rword | 0;\n      carry = ncarry | 0;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry | 0;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  // TODO(indutny): it may be reasonable to omit it for users who don't need\n  // to work with 256-bit numbers, otherwise it gives 20% improvement for 256-bit\n  // multiplication (like elliptic secp256k1).\n  var comb10MulTo = function comb10MulTo (self, num, out) {\n    var a = self.words;\n    var b = num.words;\n    var o = out.words;\n    var c = 0;\n    var lo;\n    var mid;\n    var hi;\n    var a0 = a[0] | 0;\n    var al0 = a0 & 0x1fff;\n    var ah0 = a0 >>> 13;\n    var a1 = a[1] | 0;\n    var al1 = a1 & 0x1fff;\n    var ah1 = a1 >>> 13;\n    var a2 = a[2] | 0;\n    var al2 = a2 & 0x1fff;\n    var ah2 = a2 >>> 13;\n    var a3 = a[3] | 0;\n    var al3 = a3 & 0x1fff;\n    var ah3 = a3 >>> 13;\n    var a4 = a[4] | 0;\n    var al4 = a4 & 0x1fff;\n    var ah4 = a4 >>> 13;\n    var a5 = a[5] | 0;\n    var al5 = a5 & 0x1fff;\n    var ah5 = a5 >>> 13;\n    var a6 = a[6] | 0;\n    var al6 = a6 & 0x1fff;\n    var ah6 = a6 >>> 13;\n    var a7 = a[7] | 0;\n    var al7 = a7 & 0x1fff;\n    var ah7 = a7 >>> 13;\n    var a8 = a[8] | 0;\n    var al8 = a8 & 0x1fff;\n    var ah8 = a8 >>> 13;\n    var a9 = a[9] | 0;\n    var al9 = a9 & 0x1fff;\n    var ah9 = a9 >>> 13;\n    var b0 = b[0] | 0;\n    var bl0 = b0 & 0x1fff;\n    var bh0 = b0 >>> 13;\n    var b1 = b[1] | 0;\n    var bl1 = b1 & 0x1fff;\n    var bh1 = b1 >>> 13;\n    var b2 = b[2] | 0;\n    var bl2 = b2 & 0x1fff;\n    var bh2 = b2 >>> 13;\n    var b3 = b[3] | 0;\n    var bl3 = b3 & 0x1fff;\n    var bh3 = b3 >>> 13;\n    var b4 = b[4] | 0;\n    var bl4 = b4 & 0x1fff;\n    var bh4 = b4 >>> 13;\n    var b5 = b[5] | 0;\n    var bl5 = b5 & 0x1fff;\n    var bh5 = b5 >>> 13;\n    var b6 = b[6] | 0;\n    var bl6 = b6 & 0x1fff;\n    var bh6 = b6 >>> 13;\n    var b7 = b[7] | 0;\n    var bl7 = b7 & 0x1fff;\n    var bh7 = b7 >>> 13;\n    var b8 = b[8] | 0;\n    var bl8 = b8 & 0x1fff;\n    var bh8 = b8 >>> 13;\n    var b9 = b[9] | 0;\n    var bl9 = b9 & 0x1fff;\n    var bh9 = b9 >>> 13;\n\n    out.negative = self.negative ^ num.negative;\n    out.length = 19;\n    /* k = 0 */\n    lo = Math.imul(al0, bl0);\n    mid = Math.imul(al0, bh0);\n    mid = (mid + Math.imul(ah0, bl0)) | 0;\n    hi = Math.imul(ah0, bh0);\n    var w0 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w0 >>> 26)) | 0;\n    w0 &= 0x3ffffff;\n    /* k = 1 */\n    lo = Math.imul(al1, bl0);\n    mid = Math.imul(al1, bh0);\n    mid = (mid + Math.imul(ah1, bl0)) | 0;\n    hi = Math.imul(ah1, bh0);\n    lo = (lo + Math.imul(al0, bl1)) | 0;\n    mid = (mid + Math.imul(al0, bh1)) | 0;\n    mid = (mid + Math.imul(ah0, bl1)) | 0;\n    hi = (hi + Math.imul(ah0, bh1)) | 0;\n    var w1 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w1 >>> 26)) | 0;\n    w1 &= 0x3ffffff;\n    /* k = 2 */\n    lo = Math.imul(al2, bl0);\n    mid = Math.imul(al2, bh0);\n    mid = (mid + Math.imul(ah2, bl0)) | 0;\n    hi = Math.imul(ah2, bh0);\n    lo = (lo + Math.imul(al1, bl1)) | 0;\n    mid = (mid + Math.imul(al1, bh1)) | 0;\n    mid = (mid + Math.imul(ah1, bl1)) | 0;\n    hi = (hi + Math.imul(ah1, bh1)) | 0;\n    lo = (lo + Math.imul(al0, bl2)) | 0;\n    mid = (mid + Math.imul(al0, bh2)) | 0;\n    mid = (mid + Math.imul(ah0, bl2)) | 0;\n    hi = (hi + Math.imul(ah0, bh2)) | 0;\n    var w2 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w2 >>> 26)) | 0;\n    w2 &= 0x3ffffff;\n    /* k = 3 */\n    lo = Math.imul(al3, bl0);\n    mid = Math.imul(al3, bh0);\n    mid = (mid + Math.imul(ah3, bl0)) | 0;\n    hi = Math.imul(ah3, bh0);\n    lo = (lo + Math.imul(al2, bl1)) | 0;\n    mid = (mid + Math.imul(al2, bh1)) | 0;\n    mid = (mid + Math.imul(ah2, bl1)) | 0;\n    hi = (hi + Math.imul(ah2, bh1)) | 0;\n    lo = (lo + Math.imul(al1, bl2)) | 0;\n    mid = (mid + Math.imul(al1, bh2)) | 0;\n    mid = (mid + Math.imul(ah1, bl2)) | 0;\n    hi = (hi + Math.imul(ah1, bh2)) | 0;\n    lo = (lo + Math.imul(al0, bl3)) | 0;\n    mid = (mid + Math.imul(al0, bh3)) | 0;\n    mid = (mid + Math.imul(ah0, bl3)) | 0;\n    hi = (hi + Math.imul(ah0, bh3)) | 0;\n    var w3 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w3 >>> 26)) | 0;\n    w3 &= 0x3ffffff;\n    /* k = 4 */\n    lo = Math.imul(al4, bl0);\n    mid = Math.imul(al4, bh0);\n    mid = (mid + Math.imul(ah4, bl0)) | 0;\n    hi = Math.imul(ah4, bh0);\n    lo = (lo + Math.imul(al3, bl1)) | 0;\n    mid = (mid + Math.imul(al3, bh1)) | 0;\n    mid = (mid + Math.imul(ah3, bl1)) | 0;\n    hi = (hi + Math.imul(ah3, bh1)) | 0;\n    lo = (lo + Math.imul(al2, bl2)) | 0;\n    mid = (mid + Math.imul(al2, bh2)) | 0;\n    mid = (mid + Math.imul(ah2, bl2)) | 0;\n    hi = (hi + Math.imul(ah2, bh2)) | 0;\n    lo = (lo + Math.imul(al1, bl3)) | 0;\n    mid = (mid + Math.imul(al1, bh3)) | 0;\n    mid = (mid + Math.imul(ah1, bl3)) | 0;\n    hi = (hi + Math.imul(ah1, bh3)) | 0;\n    lo = (lo + Math.imul(al0, bl4)) | 0;\n    mid = (mid + Math.imul(al0, bh4)) | 0;\n    mid = (mid + Math.imul(ah0, bl4)) | 0;\n    hi = (hi + Math.imul(ah0, bh4)) | 0;\n    var w4 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w4 >>> 26)) | 0;\n    w4 &= 0x3ffffff;\n    /* k = 5 */\n    lo = Math.imul(al5, bl0);\n    mid = Math.imul(al5, bh0);\n    mid = (mid + Math.imul(ah5, bl0)) | 0;\n    hi = Math.imul(ah5, bh0);\n    lo = (lo + Math.imul(al4, bl1)) | 0;\n    mid = (mid + Math.imul(al4, bh1)) | 0;\n    mid = (mid + Math.imul(ah4, bl1)) | 0;\n    hi = (hi + Math.imul(ah4, bh1)) | 0;\n    lo = (lo + Math.imul(al3, bl2)) | 0;\n    mid = (mid + Math.imul(al3, bh2)) | 0;\n    mid = (mid + Math.imul(ah3, bl2)) | 0;\n    hi = (hi + Math.imul(ah3, bh2)) | 0;\n    lo = (lo + Math.imul(al2, bl3)) | 0;\n    mid = (mid + Math.imul(al2, bh3)) | 0;\n    mid = (mid + Math.imul(ah2, bl3)) | 0;\n    hi = (hi + Math.imul(ah2, bh3)) | 0;\n    lo = (lo + Math.imul(al1, bl4)) | 0;\n    mid = (mid + Math.imul(al1, bh4)) | 0;\n    mid = (mid + Math.imul(ah1, bl4)) | 0;\n    hi = (hi + Math.imul(ah1, bh4)) | 0;\n    lo = (lo + Math.imul(al0, bl5)) | 0;\n    mid = (mid + Math.imul(al0, bh5)) | 0;\n    mid = (mid + Math.imul(ah0, bl5)) | 0;\n    hi = (hi + Math.imul(ah0, bh5)) | 0;\n    var w5 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w5 >>> 26)) | 0;\n    w5 &= 0x3ffffff;\n    /* k = 6 */\n    lo = Math.imul(al6, bl0);\n    mid = Math.imul(al6, bh0);\n    mid = (mid + Math.imul(ah6, bl0)) | 0;\n    hi = Math.imul(ah6, bh0);\n    lo = (lo + Math.imul(al5, bl1)) | 0;\n    mid = (mid + Math.imul(al5, bh1)) | 0;\n    mid = (mid + Math.imul(ah5, bl1)) | 0;\n    hi = (hi + Math.imul(ah5, bh1)) | 0;\n    lo = (lo + Math.imul(al4, bl2)) | 0;\n    mid = (mid + Math.imul(al4, bh2)) | 0;\n    mid = (mid + Math.imul(ah4, bl2)) | 0;\n    hi = (hi + Math.imul(ah4, bh2)) | 0;\n    lo = (lo + Math.imul(al3, bl3)) | 0;\n    mid = (mid + Math.imul(al3, bh3)) | 0;\n    mid = (mid + Math.imul(ah3, bl3)) | 0;\n    hi = (hi + Math.imul(ah3, bh3)) | 0;\n    lo = (lo + Math.imul(al2, bl4)) | 0;\n    mid = (mid + Math.imul(al2, bh4)) | 0;\n    mid = (mid + Math.imul(ah2, bl4)) | 0;\n    hi = (hi + Math.imul(ah2, bh4)) | 0;\n    lo = (lo + Math.imul(al1, bl5)) | 0;\n    mid = (mid + Math.imul(al1, bh5)) | 0;\n    mid = (mid + Math.imul(ah1, bl5)) | 0;\n    hi = (hi + Math.imul(ah1, bh5)) | 0;\n    lo = (lo + Math.imul(al0, bl6)) | 0;\n    mid = (mid + Math.imul(al0, bh6)) | 0;\n    mid = (mid + Math.imul(ah0, bl6)) | 0;\n    hi = (hi + Math.imul(ah0, bh6)) | 0;\n    var w6 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w6 >>> 26)) | 0;\n    w6 &= 0x3ffffff;\n    /* k = 7 */\n    lo = Math.imul(al7, bl0);\n    mid = Math.imul(al7, bh0);\n    mid = (mid + Math.imul(ah7, bl0)) | 0;\n    hi = Math.imul(ah7, bh0);\n    lo = (lo + Math.imul(al6, bl1)) | 0;\n    mid = (mid + Math.imul(al6, bh1)) | 0;\n    mid = (mid + Math.imul(ah6, bl1)) | 0;\n    hi = (hi + Math.imul(ah6, bh1)) | 0;\n    lo = (lo + Math.imul(al5, bl2)) | 0;\n    mid = (mid + Math.imul(al5, bh2)) | 0;\n    mid = (mid + Math.imul(ah5, bl2)) | 0;\n    hi = (hi + Math.imul(ah5, bh2)) | 0;\n    lo = (lo + Math.imul(al4, bl3)) | 0;\n    mid = (mid + Math.imul(al4, bh3)) | 0;\n    mid = (mid + Math.imul(ah4, bl3)) | 0;\n    hi = (hi + Math.imul(ah4, bh3)) | 0;\n    lo = (lo + Math.imul(al3, bl4)) | 0;\n    mid = (mid + Math.imul(al3, bh4)) | 0;\n    mid = (mid + Math.imul(ah3, bl4)) | 0;\n    hi = (hi + Math.imul(ah3, bh4)) | 0;\n    lo = (lo + Math.imul(al2, bl5)) | 0;\n    mid = (mid + Math.imul(al2, bh5)) | 0;\n    mid = (mid + Math.imul(ah2, bl5)) | 0;\n    hi = (hi + Math.imul(ah2, bh5)) | 0;\n    lo = (lo + Math.imul(al1, bl6)) | 0;\n    mid = (mid + Math.imul(al1, bh6)) | 0;\n    mid = (mid + Math.imul(ah1, bl6)) | 0;\n    hi = (hi + Math.imul(ah1, bh6)) | 0;\n    lo = (lo + Math.imul(al0, bl7)) | 0;\n    mid = (mid + Math.imul(al0, bh7)) | 0;\n    mid = (mid + Math.imul(ah0, bl7)) | 0;\n    hi = (hi + Math.imul(ah0, bh7)) | 0;\n    var w7 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w7 >>> 26)) | 0;\n    w7 &= 0x3ffffff;\n    /* k = 8 */\n    lo = Math.imul(al8, bl0);\n    mid = Math.imul(al8, bh0);\n    mid = (mid + Math.imul(ah8, bl0)) | 0;\n    hi = Math.imul(ah8, bh0);\n    lo = (lo + Math.imul(al7, bl1)) | 0;\n    mid = (mid + Math.imul(al7, bh1)) | 0;\n    mid = (mid + Math.imul(ah7, bl1)) | 0;\n    hi = (hi + Math.imul(ah7, bh1)) | 0;\n    lo = (lo + Math.imul(al6, bl2)) | 0;\n    mid = (mid + Math.imul(al6, bh2)) | 0;\n    mid = (mid + Math.imul(ah6, bl2)) | 0;\n    hi = (hi + Math.imul(ah6, bh2)) | 0;\n    lo = (lo + Math.imul(al5, bl3)) | 0;\n    mid = (mid + Math.imul(al5, bh3)) | 0;\n    mid = (mid + Math.imul(ah5, bl3)) | 0;\n    hi = (hi + Math.imul(ah5, bh3)) | 0;\n    lo = (lo + Math.imul(al4, bl4)) | 0;\n    mid = (mid + Math.imul(al4, bh4)) | 0;\n    mid = (mid + Math.imul(ah4, bl4)) | 0;\n    hi = (hi + Math.imul(ah4, bh4)) | 0;\n    lo = (lo + Math.imul(al3, bl5)) | 0;\n    mid = (mid + Math.imul(al3, bh5)) | 0;\n    mid = (mid + Math.imul(ah3, bl5)) | 0;\n    hi = (hi + Math.imul(ah3, bh5)) | 0;\n    lo = (lo + Math.imul(al2, bl6)) | 0;\n    mid = (mid + Math.imul(al2, bh6)) | 0;\n    mid = (mid + Math.imul(ah2, bl6)) | 0;\n    hi = (hi + Math.imul(ah2, bh6)) | 0;\n    lo = (lo + Math.imul(al1, bl7)) | 0;\n    mid = (mid + Math.imul(al1, bh7)) | 0;\n    mid = (mid + Math.imul(ah1, bl7)) | 0;\n    hi = (hi + Math.imul(ah1, bh7)) | 0;\n    lo = (lo + Math.imul(al0, bl8)) | 0;\n    mid = (mid + Math.imul(al0, bh8)) | 0;\n    mid = (mid + Math.imul(ah0, bl8)) | 0;\n    hi = (hi + Math.imul(ah0, bh8)) | 0;\n    var w8 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w8 >>> 26)) | 0;\n    w8 &= 0x3ffffff;\n    /* k = 9 */\n    lo = Math.imul(al9, bl0);\n    mid = Math.imul(al9, bh0);\n    mid = (mid + Math.imul(ah9, bl0)) | 0;\n    hi = Math.imul(ah9, bh0);\n    lo = (lo + Math.imul(al8, bl1)) | 0;\n    mid = (mid + Math.imul(al8, bh1)) | 0;\n    mid = (mid + Math.imul(ah8, bl1)) | 0;\n    hi = (hi + Math.imul(ah8, bh1)) | 0;\n    lo = (lo + Math.imul(al7, bl2)) | 0;\n    mid = (mid + Math.imul(al7, bh2)) | 0;\n    mid = (mid + Math.imul(ah7, bl2)) | 0;\n    hi = (hi + Math.imul(ah7, bh2)) | 0;\n    lo = (lo + Math.imul(al6, bl3)) | 0;\n    mid = (mid + Math.imul(al6, bh3)) | 0;\n    mid = (mid + Math.imul(ah6, bl3)) | 0;\n    hi = (hi + Math.imul(ah6, bh3)) | 0;\n    lo = (lo + Math.imul(al5, bl4)) | 0;\n    mid = (mid + Math.imul(al5, bh4)) | 0;\n    mid = (mid + Math.imul(ah5, bl4)) | 0;\n    hi = (hi + Math.imul(ah5, bh4)) | 0;\n    lo = (lo + Math.imul(al4, bl5)) | 0;\n    mid = (mid + Math.imul(al4, bh5)) | 0;\n    mid = (mid + Math.imul(ah4, bl5)) | 0;\n    hi = (hi + Math.imul(ah4, bh5)) | 0;\n    lo = (lo + Math.imul(al3, bl6)) | 0;\n    mid = (mid + Math.imul(al3, bh6)) | 0;\n    mid = (mid + Math.imul(ah3, bl6)) | 0;\n    hi = (hi + Math.imul(ah3, bh6)) | 0;\n    lo = (lo + Math.imul(al2, bl7)) | 0;\n    mid = (mid + Math.imul(al2, bh7)) | 0;\n    mid = (mid + Math.imul(ah2, bl7)) | 0;\n    hi = (hi + Math.imul(ah2, bh7)) | 0;\n    lo = (lo + Math.imul(al1, bl8)) | 0;\n    mid = (mid + Math.imul(al1, bh8)) | 0;\n    mid = (mid + Math.imul(ah1, bl8)) | 0;\n    hi = (hi + Math.imul(ah1, bh8)) | 0;\n    lo = (lo + Math.imul(al0, bl9)) | 0;\n    mid = (mid + Math.imul(al0, bh9)) | 0;\n    mid = (mid + Math.imul(ah0, bl9)) | 0;\n    hi = (hi + Math.imul(ah0, bh9)) | 0;\n    var w9 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w9 >>> 26)) | 0;\n    w9 &= 0x3ffffff;\n    /* k = 10 */\n    lo = Math.imul(al9, bl1);\n    mid = Math.imul(al9, bh1);\n    mid = (mid + Math.imul(ah9, bl1)) | 0;\n    hi = Math.imul(ah9, bh1);\n    lo = (lo + Math.imul(al8, bl2)) | 0;\n    mid = (mid + Math.imul(al8, bh2)) | 0;\n    mid = (mid + Math.imul(ah8, bl2)) | 0;\n    hi = (hi + Math.imul(ah8, bh2)) | 0;\n    lo = (lo + Math.imul(al7, bl3)) | 0;\n    mid = (mid + Math.imul(al7, bh3)) | 0;\n    mid = (mid + Math.imul(ah7, bl3)) | 0;\n    hi = (hi + Math.imul(ah7, bh3)) | 0;\n    lo = (lo + Math.imul(al6, bl4)) | 0;\n    mid = (mid + Math.imul(al6, bh4)) | 0;\n    mid = (mid + Math.imul(ah6, bl4)) | 0;\n    hi = (hi + Math.imul(ah6, bh4)) | 0;\n    lo = (lo + Math.imul(al5, bl5)) | 0;\n    mid = (mid + Math.imul(al5, bh5)) | 0;\n    mid = (mid + Math.imul(ah5, bl5)) | 0;\n    hi = (hi + Math.imul(ah5, bh5)) | 0;\n    lo = (lo + Math.imul(al4, bl6)) | 0;\n    mid = (mid + Math.imul(al4, bh6)) | 0;\n    mid = (mid + Math.imul(ah4, bl6)) | 0;\n    hi = (hi + Math.imul(ah4, bh6)) | 0;\n    lo = (lo + Math.imul(al3, bl7)) | 0;\n    mid = (mid + Math.imul(al3, bh7)) | 0;\n    mid = (mid + Math.imul(ah3, bl7)) | 0;\n    hi = (hi + Math.imul(ah3, bh7)) | 0;\n    lo = (lo + Math.imul(al2, bl8)) | 0;\n    mid = (mid + Math.imul(al2, bh8)) | 0;\n    mid = (mid + Math.imul(ah2, bl8)) | 0;\n    hi = (hi + Math.imul(ah2, bh8)) | 0;\n    lo = (lo + Math.imul(al1, bl9)) | 0;\n    mid = (mid + Math.imul(al1, bh9)) | 0;\n    mid = (mid + Math.imul(ah1, bl9)) | 0;\n    hi = (hi + Math.imul(ah1, bh9)) | 0;\n    var w10 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w10 >>> 26)) | 0;\n    w10 &= 0x3ffffff;\n    /* k = 11 */\n    lo = Math.imul(al9, bl2);\n    mid = Math.imul(al9, bh2);\n    mid = (mid + Math.imul(ah9, bl2)) | 0;\n    hi = Math.imul(ah9, bh2);\n    lo = (lo + Math.imul(al8, bl3)) | 0;\n    mid = (mid + Math.imul(al8, bh3)) | 0;\n    mid = (mid + Math.imul(ah8, bl3)) | 0;\n    hi = (hi + Math.imul(ah8, bh3)) | 0;\n    lo = (lo + Math.imul(al7, bl4)) | 0;\n    mid = (mid + Math.imul(al7, bh4)) | 0;\n    mid = (mid + Math.imul(ah7, bl4)) | 0;\n    hi = (hi + Math.imul(ah7, bh4)) | 0;\n    lo = (lo + Math.imul(al6, bl5)) | 0;\n    mid = (mid + Math.imul(al6, bh5)) | 0;\n    mid = (mid + Math.imul(ah6, bl5)) | 0;\n    hi = (hi + Math.imul(ah6, bh5)) | 0;\n    lo = (lo + Math.imul(al5, bl6)) | 0;\n    mid = (mid + Math.imul(al5, bh6)) | 0;\n    mid = (mid + Math.imul(ah5, bl6)) | 0;\n    hi = (hi + Math.imul(ah5, bh6)) | 0;\n    lo = (lo + Math.imul(al4, bl7)) | 0;\n    mid = (mid + Math.imul(al4, bh7)) | 0;\n    mid = (mid + Math.imul(ah4, bl7)) | 0;\n    hi = (hi + Math.imul(ah4, bh7)) | 0;\n    lo = (lo + Math.imul(al3, bl8)) | 0;\n    mid = (mid + Math.imul(al3, bh8)) | 0;\n    mid = (mid + Math.imul(ah3, bl8)) | 0;\n    hi = (hi + Math.imul(ah3, bh8)) | 0;\n    lo = (lo + Math.imul(al2, bl9)) | 0;\n    mid = (mid + Math.imul(al2, bh9)) | 0;\n    mid = (mid + Math.imul(ah2, bl9)) | 0;\n    hi = (hi + Math.imul(ah2, bh9)) | 0;\n    var w11 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w11 >>> 26)) | 0;\n    w11 &= 0x3ffffff;\n    /* k = 12 */\n    lo = Math.imul(al9, bl3);\n    mid = Math.imul(al9, bh3);\n    mid = (mid + Math.imul(ah9, bl3)) | 0;\n    hi = Math.imul(ah9, bh3);\n    lo = (lo + Math.imul(al8, bl4)) | 0;\n    mid = (mid + Math.imul(al8, bh4)) | 0;\n    mid = (mid + Math.imul(ah8, bl4)) | 0;\n    hi = (hi + Math.imul(ah8, bh4)) | 0;\n    lo = (lo + Math.imul(al7, bl5)) | 0;\n    mid = (mid + Math.imul(al7, bh5)) | 0;\n    mid = (mid + Math.imul(ah7, bl5)) | 0;\n    hi = (hi + Math.imul(ah7, bh5)) | 0;\n    lo = (lo + Math.imul(al6, bl6)) | 0;\n    mid = (mid + Math.imul(al6, bh6)) | 0;\n    mid = (mid + Math.imul(ah6, bl6)) | 0;\n    hi = (hi + Math.imul(ah6, bh6)) | 0;\n    lo = (lo + Math.imul(al5, bl7)) | 0;\n    mid = (mid + Math.imul(al5, bh7)) | 0;\n    mid = (mid + Math.imul(ah5, bl7)) | 0;\n    hi = (hi + Math.imul(ah5, bh7)) | 0;\n    lo = (lo + Math.imul(al4, bl8)) | 0;\n    mid = (mid + Math.imul(al4, bh8)) | 0;\n    mid = (mid + Math.imul(ah4, bl8)) | 0;\n    hi = (hi + Math.imul(ah4, bh8)) | 0;\n    lo = (lo + Math.imul(al3, bl9)) | 0;\n    mid = (mid + Math.imul(al3, bh9)) | 0;\n    mid = (mid + Math.imul(ah3, bl9)) | 0;\n    hi = (hi + Math.imul(ah3, bh9)) | 0;\n    var w12 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w12 >>> 26)) | 0;\n    w12 &= 0x3ffffff;\n    /* k = 13 */\n    lo = Math.imul(al9, bl4);\n    mid = Math.imul(al9, bh4);\n    mid = (mid + Math.imul(ah9, bl4)) | 0;\n    hi = Math.imul(ah9, bh4);\n    lo = (lo + Math.imul(al8, bl5)) | 0;\n    mid = (mid + Math.imul(al8, bh5)) | 0;\n    mid = (mid + Math.imul(ah8, bl5)) | 0;\n    hi = (hi + Math.imul(ah8, bh5)) | 0;\n    lo = (lo + Math.imul(al7, bl6)) | 0;\n    mid = (mid + Math.imul(al7, bh6)) | 0;\n    mid = (mid + Math.imul(ah7, bl6)) | 0;\n    hi = (hi + Math.imul(ah7, bh6)) | 0;\n    lo = (lo + Math.imul(al6, bl7)) | 0;\n    mid = (mid + Math.imul(al6, bh7)) | 0;\n    mid = (mid + Math.imul(ah6, bl7)) | 0;\n    hi = (hi + Math.imul(ah6, bh7)) | 0;\n    lo = (lo + Math.imul(al5, bl8)) | 0;\n    mid = (mid + Math.imul(al5, bh8)) | 0;\n    mid = (mid + Math.imul(ah5, bl8)) | 0;\n    hi = (hi + Math.imul(ah5, bh8)) | 0;\n    lo = (lo + Math.imul(al4, bl9)) | 0;\n    mid = (mid + Math.imul(al4, bh9)) | 0;\n    mid = (mid + Math.imul(ah4, bl9)) | 0;\n    hi = (hi + Math.imul(ah4, bh9)) | 0;\n    var w13 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w13 >>> 26)) | 0;\n    w13 &= 0x3ffffff;\n    /* k = 14 */\n    lo = Math.imul(al9, bl5);\n    mid = Math.imul(al9, bh5);\n    mid = (mid + Math.imul(ah9, bl5)) | 0;\n    hi = Math.imul(ah9, bh5);\n    lo = (lo + Math.imul(al8, bl6)) | 0;\n    mid = (mid + Math.imul(al8, bh6)) | 0;\n    mid = (mid + Math.imul(ah8, bl6)) | 0;\n    hi = (hi + Math.imul(ah8, bh6)) | 0;\n    lo = (lo + Math.imul(al7, bl7)) | 0;\n    mid = (mid + Math.imul(al7, bh7)) | 0;\n    mid = (mid + Math.imul(ah7, bl7)) | 0;\n    hi = (hi + Math.imul(ah7, bh7)) | 0;\n    lo = (lo + Math.imul(al6, bl8)) | 0;\n    mid = (mid + Math.imul(al6, bh8)) | 0;\n    mid = (mid + Math.imul(ah6, bl8)) | 0;\n    hi = (hi + Math.imul(ah6, bh8)) | 0;\n    lo = (lo + Math.imul(al5, bl9)) | 0;\n    mid = (mid + Math.imul(al5, bh9)) | 0;\n    mid = (mid + Math.imul(ah5, bl9)) | 0;\n    hi = (hi + Math.imul(ah5, bh9)) | 0;\n    var w14 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w14 >>> 26)) | 0;\n    w14 &= 0x3ffffff;\n    /* k = 15 */\n    lo = Math.imul(al9, bl6);\n    mid = Math.imul(al9, bh6);\n    mid = (mid + Math.imul(ah9, bl6)) | 0;\n    hi = Math.imul(ah9, bh6);\n    lo = (lo + Math.imul(al8, bl7)) | 0;\n    mid = (mid + Math.imul(al8, bh7)) | 0;\n    mid = (mid + Math.imul(ah8, bl7)) | 0;\n    hi = (hi + Math.imul(ah8, bh7)) | 0;\n    lo = (lo + Math.imul(al7, bl8)) | 0;\n    mid = (mid + Math.imul(al7, bh8)) | 0;\n    mid = (mid + Math.imul(ah7, bl8)) | 0;\n    hi = (hi + Math.imul(ah7, bh8)) | 0;\n    lo = (lo + Math.imul(al6, bl9)) | 0;\n    mid = (mid + Math.imul(al6, bh9)) | 0;\n    mid = (mid + Math.imul(ah6, bl9)) | 0;\n    hi = (hi + Math.imul(ah6, bh9)) | 0;\n    var w15 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w15 >>> 26)) | 0;\n    w15 &= 0x3ffffff;\n    /* k = 16 */\n    lo = Math.imul(al9, bl7);\n    mid = Math.imul(al9, bh7);\n    mid = (mid + Math.imul(ah9, bl7)) | 0;\n    hi = Math.imul(ah9, bh7);\n    lo = (lo + Math.imul(al8, bl8)) | 0;\n    mid = (mid + Math.imul(al8, bh8)) | 0;\n    mid = (mid + Math.imul(ah8, bl8)) | 0;\n    hi = (hi + Math.imul(ah8, bh8)) | 0;\n    lo = (lo + Math.imul(al7, bl9)) | 0;\n    mid = (mid + Math.imul(al7, bh9)) | 0;\n    mid = (mid + Math.imul(ah7, bl9)) | 0;\n    hi = (hi + Math.imul(ah7, bh9)) | 0;\n    var w16 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w16 >>> 26)) | 0;\n    w16 &= 0x3ffffff;\n    /* k = 17 */\n    lo = Math.imul(al9, bl8);\n    mid = Math.imul(al9, bh8);\n    mid = (mid + Math.imul(ah9, bl8)) | 0;\n    hi = Math.imul(ah9, bh8);\n    lo = (lo + Math.imul(al8, bl9)) | 0;\n    mid = (mid + Math.imul(al8, bh9)) | 0;\n    mid = (mid + Math.imul(ah8, bl9)) | 0;\n    hi = (hi + Math.imul(ah8, bh9)) | 0;\n    var w17 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w17 >>> 26)) | 0;\n    w17 &= 0x3ffffff;\n    /* k = 18 */\n    lo = Math.imul(al9, bl9);\n    mid = Math.imul(al9, bh9);\n    mid = (mid + Math.imul(ah9, bl9)) | 0;\n    hi = Math.imul(ah9, bh9);\n    var w18 = (((c + lo) | 0) + ((mid & 0x1fff) << 13)) | 0;\n    c = (((hi + (mid >>> 13)) | 0) + (w18 >>> 26)) | 0;\n    w18 &= 0x3ffffff;\n    o[0] = w0;\n    o[1] = w1;\n    o[2] = w2;\n    o[3] = w3;\n    o[4] = w4;\n    o[5] = w5;\n    o[6] = w6;\n    o[7] = w7;\n    o[8] = w8;\n    o[9] = w9;\n    o[10] = w10;\n    o[11] = w11;\n    o[12] = w12;\n    o[13] = w13;\n    o[14] = w14;\n    o[15] = w15;\n    o[16] = w16;\n    o[17] = w17;\n    o[18] = w18;\n    if (c !== 0) {\n      o[19] = c;\n      out.length++;\n    }\n    return out;\n  };\n\n  // Polyfill comb\n  if (!Math.imul) {\n    comb10MulTo = smallMulTo;\n  }\n\n  function bigMulTo (self, num, out) {\n    out.negative = num.negative ^ self.negative;\n    out.length = self.length + num.length;\n\n    var carry = 0;\n    var hncarry = 0;\n    for (var k = 0; k < out.length - 1; k++) {\n      // Sum all words with the same `i + j = k` and accumulate `ncarry`,\n      // note that ncarry could be >= 0x3ffffff\n      var ncarry = hncarry;\n      hncarry = 0;\n      var rword = carry & 0x3ffffff;\n      var maxJ = Math.min(k, num.length - 1);\n      for (var j = Math.max(0, k - self.length + 1); j <= maxJ; j++) {\n        var i = k - j;\n        var a = self.words[i] | 0;\n        var b = num.words[j] | 0;\n        var r = a * b;\n\n        var lo = r & 0x3ffffff;\n        ncarry = (ncarry + ((r / 0x4000000) | 0)) | 0;\n        lo = (lo + rword) | 0;\n        rword = lo & 0x3ffffff;\n        ncarry = (ncarry + (lo >>> 26)) | 0;\n\n        hncarry += ncarry >>> 26;\n        ncarry &= 0x3ffffff;\n      }\n      out.words[k] = rword;\n      carry = ncarry;\n      ncarry = hncarry;\n    }\n    if (carry !== 0) {\n      out.words[k] = carry;\n    } else {\n      out.length--;\n    }\n\n    return out.strip();\n  }\n\n  function jumboMulTo (self, num, out) {\n    var fftm = new FFTM();\n    return fftm.mulp(self, num, out);\n  }\n\n  BN.prototype.mulTo = function mulTo (num, out) {\n    var res;\n    var len = this.length + num.length;\n    if (this.length === 10 && num.length === 10) {\n      res = comb10MulTo(this, num, out);\n    } else if (len < 63) {\n      res = smallMulTo(this, num, out);\n    } else if (len < 1024) {\n      res = bigMulTo(this, num, out);\n    } else {\n      res = jumboMulTo(this, num, out);\n    }\n\n    return res;\n  };\n\n  // Cooley-Tukey algorithm for FFT\n  // slightly revisited to rely on looping instead of recursion\n\n  function FFTM (x, y) {\n    this.x = x;\n    this.y = y;\n  }\n\n  FFTM.prototype.makeRBT = function makeRBT (N) {\n    var t = new Array(N);\n    var l = BN.prototype._countBits(N) - 1;\n    for (var i = 0; i < N; i++) {\n      t[i] = this.revBin(i, l, N);\n    }\n\n    return t;\n  };\n\n  // Returns binary-reversed representation of `x`\n  FFTM.prototype.revBin = function revBin (x, l, N) {\n    if (x === 0 || x === N - 1) return x;\n\n    var rb = 0;\n    for (var i = 0; i < l; i++) {\n      rb |= (x & 1) << (l - i - 1);\n      x >>= 1;\n    }\n\n    return rb;\n  };\n\n  // Performs \"tweedling\" phase, therefore 'emulating'\n  // behaviour of the recursive algorithm\n  FFTM.prototype.permute = function permute (rbt, rws, iws, rtws, itws, N) {\n    for (var i = 0; i < N; i++) {\n      rtws[i] = rws[rbt[i]];\n      itws[i] = iws[rbt[i]];\n    }\n  };\n\n  FFTM.prototype.transform = function transform (rws, iws, rtws, itws, N, rbt) {\n    this.permute(rbt, rws, iws, rtws, itws, N);\n\n    for (var s = 1; s < N; s <<= 1) {\n      var l = s << 1;\n\n      var rtwdf = Math.cos(2 * Math.PI / l);\n      var itwdf = Math.sin(2 * Math.PI / l);\n\n      for (var p = 0; p < N; p += l) {\n        var rtwdf_ = rtwdf;\n        var itwdf_ = itwdf;\n\n        for (var j = 0; j < s; j++) {\n          var re = rtws[p + j];\n          var ie = itws[p + j];\n\n          var ro = rtws[p + j + s];\n          var io = itws[p + j + s];\n\n          var rx = rtwdf_ * ro - itwdf_ * io;\n\n          io = rtwdf_ * io + itwdf_ * ro;\n          ro = rx;\n\n          rtws[p + j] = re + ro;\n          itws[p + j] = ie + io;\n\n          rtws[p + j + s] = re - ro;\n          itws[p + j + s] = ie - io;\n\n          /* jshint maxdepth : false */\n          if (j !== l) {\n            rx = rtwdf * rtwdf_ - itwdf * itwdf_;\n\n            itwdf_ = rtwdf * itwdf_ + itwdf * rtwdf_;\n            rtwdf_ = rx;\n          }\n        }\n      }\n    }\n  };\n\n  FFTM.prototype.guessLen13b = function guessLen13b (n, m) {\n    var N = Math.max(m, n) | 1;\n    var odd = N & 1;\n    var i = 0;\n    for (N = N / 2 | 0; N; N = N >>> 1) {\n      i++;\n    }\n\n    return 1 << i + 1 + odd;\n  };\n\n  FFTM.prototype.conjugate = function conjugate (rws, iws, N) {\n    if (N <= 1) return;\n\n    for (var i = 0; i < N / 2; i++) {\n      var t = rws[i];\n\n      rws[i] = rws[N - i - 1];\n      rws[N - i - 1] = t;\n\n      t = iws[i];\n\n      iws[i] = -iws[N - i - 1];\n      iws[N - i - 1] = -t;\n    }\n  };\n\n  FFTM.prototype.normalize13b = function normalize13b (ws, N) {\n    var carry = 0;\n    for (var i = 0; i < N / 2; i++) {\n      var w = Math.round(ws[2 * i + 1] / N) * 0x2000 +\n        Math.round(ws[2 * i] / N) +\n        carry;\n\n      ws[i] = w & 0x3ffffff;\n\n      if (w < 0x4000000) {\n        carry = 0;\n      } else {\n        carry = w / 0x4000000 | 0;\n      }\n    }\n\n    return ws;\n  };\n\n  FFTM.prototype.convert13b = function convert13b (ws, len, rws, N) {\n    var carry = 0;\n    for (var i = 0; i < len; i++) {\n      carry = carry + (ws[i] | 0);\n\n      rws[2 * i] = carry & 0x1fff; carry = carry >>> 13;\n      rws[2 * i + 1] = carry & 0x1fff; carry = carry >>> 13;\n    }\n\n    // Pad with zeroes\n    for (i = 2 * len; i < N; ++i) {\n      rws[i] = 0;\n    }\n\n    assert(carry === 0);\n    assert((carry & ~0x1fff) === 0);\n  };\n\n  FFTM.prototype.stub = function stub (N) {\n    var ph = new Array(N);\n    for (var i = 0; i < N; i++) {\n      ph[i] = 0;\n    }\n\n    return ph;\n  };\n\n  FFTM.prototype.mulp = function mulp (x, y, out) {\n    var N = 2 * this.guessLen13b(x.length, y.length);\n\n    var rbt = this.makeRBT(N);\n\n    var _ = this.stub(N);\n\n    var rws = new Array(N);\n    var rwst = new Array(N);\n    var iwst = new Array(N);\n\n    var nrws = new Array(N);\n    var nrwst = new Array(N);\n    var niwst = new Array(N);\n\n    var rmws = out.words;\n    rmws.length = N;\n\n    this.convert13b(x.words, x.length, rws, N);\n    this.convert13b(y.words, y.length, nrws, N);\n\n    this.transform(rws, _, rwst, iwst, N, rbt);\n    this.transform(nrws, _, nrwst, niwst, N, rbt);\n\n    for (var i = 0; i < N; i++) {\n      var rx = rwst[i] * nrwst[i] - iwst[i] * niwst[i];\n      iwst[i] = rwst[i] * niwst[i] + iwst[i] * nrwst[i];\n      rwst[i] = rx;\n    }\n\n    this.conjugate(rwst, iwst, N);\n    this.transform(rwst, iwst, rmws, _, N, rbt);\n    this.conjugate(rmws, _, N);\n    this.normalize13b(rmws, N);\n\n    out.negative = x.negative ^ y.negative;\n    out.length = x.length + y.length;\n    return out.strip();\n  };\n\n  // Multiply `this` by `num`\n  BN.prototype.mul = function mul (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return this.mulTo(num, out);\n  };\n\n  // Multiply employing FFT\n  BN.prototype.mulf = function mulf (num) {\n    var out = new BN(null);\n    out.words = new Array(this.length + num.length);\n    return jumboMulTo(this, num, out);\n  };\n\n  // In-place Multiplication\n  BN.prototype.imul = function imul (num) {\n    return this.clone().mulTo(num, this);\n  };\n\n  BN.prototype.imuln = function imuln (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n\n    // Carry\n    var carry = 0;\n    for (var i = 0; i < this.length; i++) {\n      var w = (this.words[i] | 0) * num;\n      var lo = (w & 0x3ffffff) + (carry & 0x3ffffff);\n      carry >>= 26;\n      carry += (w / 0x4000000) | 0;\n      // NOTE: lo is 27bit maximum\n      carry += lo >>> 26;\n      this.words[i] = lo & 0x3ffffff;\n    }\n\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n\n    return this;\n  };\n\n  BN.prototype.muln = function muln (num) {\n    return this.clone().imuln(num);\n  };\n\n  // `this` * `this`\n  BN.prototype.sqr = function sqr () {\n    return this.mul(this);\n  };\n\n  // `this` * `this` in-place\n  BN.prototype.isqr = function isqr () {\n    return this.imul(this.clone());\n  };\n\n  // Math.pow(`this`, `num`)\n  BN.prototype.pow = function pow (num) {\n    var w = toBitArray(num);\n    if (w.length === 0) return new BN(1);\n\n    // Skip leading zeroes\n    var res = this;\n    for (var i = 0; i < w.length; i++, res = res.sqr()) {\n      if (w[i] !== 0) break;\n    }\n\n    if (++i < w.length) {\n      for (var q = res.sqr(); i < w.length; i++, q = q.sqr()) {\n        if (w[i] === 0) continue;\n\n        res = res.mul(q);\n      }\n    }\n\n    return res;\n  };\n\n  // Shift-left in-place\n  BN.prototype.iushln = function iushln (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n    var carryMask = (0x3ffffff >>> (26 - r)) << (26 - r);\n    var i;\n\n    if (r !== 0) {\n      var carry = 0;\n\n      for (i = 0; i < this.length; i++) {\n        var newCarry = this.words[i] & carryMask;\n        var c = ((this.words[i] | 0) - newCarry) << r;\n        this.words[i] = c | carry;\n        carry = newCarry >>> (26 - r);\n      }\n\n      if (carry) {\n        this.words[i] = carry;\n        this.length++;\n      }\n    }\n\n    if (s !== 0) {\n      for (i = this.length - 1; i >= 0; i--) {\n        this.words[i + s] = this.words[i];\n      }\n\n      for (i = 0; i < s; i++) {\n        this.words[i] = 0;\n      }\n\n      this.length += s;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishln = function ishln (bits) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushln(bits);\n  };\n\n  // Shift-right in-place\n  // NOTE: `hint` is a lowest bit before trailing zeroes\n  // NOTE: if `extended` is present - it will be filled with destroyed bits\n  BN.prototype.iushrn = function iushrn (bits, hint, extended) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var h;\n    if (hint) {\n      h = (hint - (hint % 26)) / 26;\n    } else {\n      h = 0;\n    }\n\n    var r = bits % 26;\n    var s = Math.min((bits - r) / 26, this.length);\n    var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n    var maskedWords = extended;\n\n    h -= s;\n    h = Math.max(0, h);\n\n    // Extended mode, copy masked part\n    if (maskedWords) {\n      for (var i = 0; i < s; i++) {\n        maskedWords.words[i] = this.words[i];\n      }\n      maskedWords.length = s;\n    }\n\n    if (s === 0) {\n      // No-op, we should not move anything at all\n    } else if (this.length > s) {\n      this.length -= s;\n      for (i = 0; i < this.length; i++) {\n        this.words[i] = this.words[i + s];\n      }\n    } else {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    var carry = 0;\n    for (i = this.length - 1; i >= 0 && (carry !== 0 || i >= h); i--) {\n      var word = this.words[i] | 0;\n      this.words[i] = (carry << (26 - r)) | (word >>> r);\n      carry = word & mask;\n    }\n\n    // Push carried bits as a mask\n    if (maskedWords && carry !== 0) {\n      maskedWords.words[maskedWords.length++] = carry;\n    }\n\n    if (this.length === 0) {\n      this.words[0] = 0;\n      this.length = 1;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.ishrn = function ishrn (bits, hint, extended) {\n    // TODO(indutny): implement me\n    assert(this.negative === 0);\n    return this.iushrn(bits, hint, extended);\n  };\n\n  // Shift-left\n  BN.prototype.shln = function shln (bits) {\n    return this.clone().ishln(bits);\n  };\n\n  BN.prototype.ushln = function ushln (bits) {\n    return this.clone().iushln(bits);\n  };\n\n  // Shift-right\n  BN.prototype.shrn = function shrn (bits) {\n    return this.clone().ishrn(bits);\n  };\n\n  BN.prototype.ushrn = function ushrn (bits) {\n    return this.clone().iushrn(bits);\n  };\n\n  // Test if n bit is set\n  BN.prototype.testn = function testn (bit) {\n    assert(typeof bit === 'number' && bit >= 0);\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) return false;\n\n    // Check bit and return\n    var w = this.words[s];\n\n    return !!(w & q);\n  };\n\n  // Return only lowers bits of number (in-place)\n  BN.prototype.imaskn = function imaskn (bits) {\n    assert(typeof bits === 'number' && bits >= 0);\n    var r = bits % 26;\n    var s = (bits - r) / 26;\n\n    assert(this.negative === 0, 'imaskn works only with positive numbers');\n\n    if (this.length <= s) {\n      return this;\n    }\n\n    if (r !== 0) {\n      s++;\n    }\n    this.length = Math.min(s, this.length);\n\n    if (r !== 0) {\n      var mask = 0x3ffffff ^ ((0x3ffffff >>> r) << r);\n      this.words[this.length - 1] &= mask;\n    }\n\n    return this.strip();\n  };\n\n  // Return only lowers bits of number\n  BN.prototype.maskn = function maskn (bits) {\n    return this.clone().imaskn(bits);\n  };\n\n  // Add plain number `num` to `this`\n  BN.prototype.iaddn = function iaddn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.isubn(-num);\n\n    // Possible sign change\n    if (this.negative !== 0) {\n      if (this.length === 1 && (this.words[0] | 0) < num) {\n        this.words[0] = num - (this.words[0] | 0);\n        this.negative = 0;\n        return this;\n      }\n\n      this.negative = 0;\n      this.isubn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    // Add without checks\n    return this._iaddn(num);\n  };\n\n  BN.prototype._iaddn = function _iaddn (num) {\n    this.words[0] += num;\n\n    // Carry\n    for (var i = 0; i < this.length && this.words[i] >= 0x4000000; i++) {\n      this.words[i] -= 0x4000000;\n      if (i === this.length - 1) {\n        this.words[i + 1] = 1;\n      } else {\n        this.words[i + 1]++;\n      }\n    }\n    this.length = Math.max(this.length, i + 1);\n\n    return this;\n  };\n\n  // Subtract plain number `num` from `this`\n  BN.prototype.isubn = function isubn (num) {\n    assert(typeof num === 'number');\n    assert(num < 0x4000000);\n    if (num < 0) return this.iaddn(-num);\n\n    if (this.negative !== 0) {\n      this.negative = 0;\n      this.iaddn(num);\n      this.negative = 1;\n      return this;\n    }\n\n    this.words[0] -= num;\n\n    if (this.length === 1 && this.words[0] < 0) {\n      this.words[0] = -this.words[0];\n      this.negative = 1;\n    } else {\n      // Carry\n      for (var i = 0; i < this.length && this.words[i] < 0; i++) {\n        this.words[i] += 0x4000000;\n        this.words[i + 1] -= 1;\n      }\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.addn = function addn (num) {\n    return this.clone().iaddn(num);\n  };\n\n  BN.prototype.subn = function subn (num) {\n    return this.clone().isubn(num);\n  };\n\n  BN.prototype.iabs = function iabs () {\n    this.negative = 0;\n\n    return this;\n  };\n\n  BN.prototype.abs = function abs () {\n    return this.clone().iabs();\n  };\n\n  BN.prototype._ishlnsubmul = function _ishlnsubmul (num, mul, shift) {\n    var len = num.length + shift;\n    var i;\n\n    this._expand(len);\n\n    var w;\n    var carry = 0;\n    for (i = 0; i < num.length; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      var right = (num.words[i] | 0) * mul;\n      w -= right & 0x3ffffff;\n      carry = (w >> 26) - ((right / 0x4000000) | 0);\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n    for (; i < this.length - shift; i++) {\n      w = (this.words[i + shift] | 0) + carry;\n      carry = w >> 26;\n      this.words[i + shift] = w & 0x3ffffff;\n    }\n\n    if (carry === 0) return this.strip();\n\n    // Subtraction overflow\n    assert(carry === -1);\n    carry = 0;\n    for (i = 0; i < this.length; i++) {\n      w = -(this.words[i] | 0) + carry;\n      carry = w >> 26;\n      this.words[i] = w & 0x3ffffff;\n    }\n    this.negative = 1;\n\n    return this.strip();\n  };\n\n  BN.prototype._wordDiv = function _wordDiv (num, mode) {\n    var shift = this.length - num.length;\n\n    var a = this.clone();\n    var b = num;\n\n    // Normalize\n    var bhi = b.words[b.length - 1] | 0;\n    var bhiBits = this._countBits(bhi);\n    shift = 26 - bhiBits;\n    if (shift !== 0) {\n      b = b.ushln(shift);\n      a.iushln(shift);\n      bhi = b.words[b.length - 1] | 0;\n    }\n\n    // Initialize quotient\n    var m = a.length - b.length;\n    var q;\n\n    if (mode !== 'mod') {\n      q = new BN(null);\n      q.length = m + 1;\n      q.words = new Array(q.length);\n      for (var i = 0; i < q.length; i++) {\n        q.words[i] = 0;\n      }\n    }\n\n    var diff = a.clone()._ishlnsubmul(b, 1, m);\n    if (diff.negative === 0) {\n      a = diff;\n      if (q) {\n        q.words[m] = 1;\n      }\n    }\n\n    for (var j = m - 1; j >= 0; j--) {\n      var qj = (a.words[b.length + j] | 0) * 0x4000000 +\n        (a.words[b.length + j - 1] | 0);\n\n      // NOTE: (qj / bhi) is (0x3ffffff * 0x4000000 + 0x3ffffff) / 0x2000000 max\n      // (0x7ffffff)\n      qj = Math.min((qj / bhi) | 0, 0x3ffffff);\n\n      a._ishlnsubmul(b, qj, j);\n      while (a.negative !== 0) {\n        qj--;\n        a.negative = 0;\n        a._ishlnsubmul(b, 1, j);\n        if (!a.isZero()) {\n          a.negative ^= 1;\n        }\n      }\n      if (q) {\n        q.words[j] = qj;\n      }\n    }\n    if (q) {\n      q.strip();\n    }\n    a.strip();\n\n    // Denormalize\n    if (mode !== 'div' && shift !== 0) {\n      a.iushrn(shift);\n    }\n\n    return {\n      div: q || null,\n      mod: a\n    };\n  };\n\n  // NOTE: 1) `mode` can be set to `mod` to request mod only,\n  //       to `div` to request div only, or be absent to\n  //       request both div & mod\n  //       2) `positive` is true if unsigned mod is requested\n  BN.prototype.divmod = function divmod (num, mode, positive) {\n    assert(!num.isZero());\n\n    if (this.isZero()) {\n      return {\n        div: new BN(0),\n        mod: new BN(0)\n      };\n    }\n\n    var div, mod, res;\n    if (this.negative !== 0 && num.negative === 0) {\n      res = this.neg().divmod(num, mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.iadd(num);\n        }\n      }\n\n      return {\n        div: div,\n        mod: mod\n      };\n    }\n\n    if (this.negative === 0 && num.negative !== 0) {\n      res = this.divmod(num.neg(), mode);\n\n      if (mode !== 'mod') {\n        div = res.div.neg();\n      }\n\n      return {\n        div: div,\n        mod: res.mod\n      };\n    }\n\n    if ((this.negative & num.negative) !== 0) {\n      res = this.neg().divmod(num.neg(), mode);\n\n      if (mode !== 'div') {\n        mod = res.mod.neg();\n        if (positive && mod.negative !== 0) {\n          mod.isub(num);\n        }\n      }\n\n      return {\n        div: res.div,\n        mod: mod\n      };\n    }\n\n    // Both numbers are positive at this point\n\n    // Strip both numbers to approximate shift value\n    if (num.length > this.length || this.cmp(num) < 0) {\n      return {\n        div: new BN(0),\n        mod: this\n      };\n    }\n\n    // Very short reduction\n    if (num.length === 1) {\n      if (mode === 'div') {\n        return {\n          div: this.divn(num.words[0]),\n          mod: null\n        };\n      }\n\n      if (mode === 'mod') {\n        return {\n          div: null,\n          mod: new BN(this.modn(num.words[0]))\n        };\n      }\n\n      return {\n        div: this.divn(num.words[0]),\n        mod: new BN(this.modn(num.words[0]))\n      };\n    }\n\n    return this._wordDiv(num, mode);\n  };\n\n  // Find `this` / `num`\n  BN.prototype.div = function div (num) {\n    return this.divmod(num, 'div', false).div;\n  };\n\n  // Find `this` % `num`\n  BN.prototype.mod = function mod (num) {\n    return this.divmod(num, 'mod', false).mod;\n  };\n\n  BN.prototype.umod = function umod (num) {\n    return this.divmod(num, 'mod', true).mod;\n  };\n\n  // Find Round(`this` / `num`)\n  BN.prototype.divRound = function divRound (num) {\n    var dm = this.divmod(num);\n\n    // Fast case - exact division\n    if (dm.mod.isZero()) return dm.div;\n\n    var mod = dm.div.negative !== 0 ? dm.mod.isub(num) : dm.mod;\n\n    var half = num.ushrn(1);\n    var r2 = num.andln(1);\n    var cmp = mod.cmp(half);\n\n    // Round down\n    if (cmp < 0 || r2 === 1 && cmp === 0) return dm.div;\n\n    // Round up\n    return dm.div.negative !== 0 ? dm.div.isubn(1) : dm.div.iaddn(1);\n  };\n\n  BN.prototype.modn = function modn (num) {\n    assert(num <= 0x3ffffff);\n    var p = (1 << 26) % num;\n\n    var acc = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      acc = (p * acc + (this.words[i] | 0)) % num;\n    }\n\n    return acc;\n  };\n\n  // In-place division by number\n  BN.prototype.idivn = function idivn (num) {\n    assert(num <= 0x3ffffff);\n\n    var carry = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var w = (this.words[i] | 0) + carry * 0x4000000;\n      this.words[i] = (w / num) | 0;\n      carry = w % num;\n    }\n\n    return this.strip();\n  };\n\n  BN.prototype.divn = function divn (num) {\n    return this.clone().idivn(num);\n  };\n\n  BN.prototype.egcd = function egcd (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var x = this;\n    var y = p.clone();\n\n    if (x.negative !== 0) {\n      x = x.umod(p);\n    } else {\n      x = x.clone();\n    }\n\n    // A * x + B * y = x\n    var A = new BN(1);\n    var B = new BN(0);\n\n    // C * x + D * y = y\n    var C = new BN(0);\n    var D = new BN(1);\n\n    var g = 0;\n\n    while (x.isEven() && y.isEven()) {\n      x.iushrn(1);\n      y.iushrn(1);\n      ++g;\n    }\n\n    var yp = y.clone();\n    var xp = x.clone();\n\n    while (!x.isZero()) {\n      for (var i = 0, im = 1; (x.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        x.iushrn(i);\n        while (i-- > 0) {\n          if (A.isOdd() || B.isOdd()) {\n            A.iadd(yp);\n            B.isub(xp);\n          }\n\n          A.iushrn(1);\n          B.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (y.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        y.iushrn(j);\n        while (j-- > 0) {\n          if (C.isOdd() || D.isOdd()) {\n            C.iadd(yp);\n            D.isub(xp);\n          }\n\n          C.iushrn(1);\n          D.iushrn(1);\n        }\n      }\n\n      if (x.cmp(y) >= 0) {\n        x.isub(y);\n        A.isub(C);\n        B.isub(D);\n      } else {\n        y.isub(x);\n        C.isub(A);\n        D.isub(B);\n      }\n    }\n\n    return {\n      a: C,\n      b: D,\n      gcd: y.iushln(g)\n    };\n  };\n\n  // This is reduced incarnation of the binary EEA\n  // above, designated to invert members of the\n  // _prime_ fields F(p) at a maximal speed\n  BN.prototype._invmp = function _invmp (p) {\n    assert(p.negative === 0);\n    assert(!p.isZero());\n\n    var a = this;\n    var b = p.clone();\n\n    if (a.negative !== 0) {\n      a = a.umod(p);\n    } else {\n      a = a.clone();\n    }\n\n    var x1 = new BN(1);\n    var x2 = new BN(0);\n\n    var delta = b.clone();\n\n    while (a.cmpn(1) > 0 && b.cmpn(1) > 0) {\n      for (var i = 0, im = 1; (a.words[0] & im) === 0 && i < 26; ++i, im <<= 1);\n      if (i > 0) {\n        a.iushrn(i);\n        while (i-- > 0) {\n          if (x1.isOdd()) {\n            x1.iadd(delta);\n          }\n\n          x1.iushrn(1);\n        }\n      }\n\n      for (var j = 0, jm = 1; (b.words[0] & jm) === 0 && j < 26; ++j, jm <<= 1);\n      if (j > 0) {\n        b.iushrn(j);\n        while (j-- > 0) {\n          if (x2.isOdd()) {\n            x2.iadd(delta);\n          }\n\n          x2.iushrn(1);\n        }\n      }\n\n      if (a.cmp(b) >= 0) {\n        a.isub(b);\n        x1.isub(x2);\n      } else {\n        b.isub(a);\n        x2.isub(x1);\n      }\n    }\n\n    var res;\n    if (a.cmpn(1) === 0) {\n      res = x1;\n    } else {\n      res = x2;\n    }\n\n    if (res.cmpn(0) < 0) {\n      res.iadd(p);\n    }\n\n    return res;\n  };\n\n  BN.prototype.gcd = function gcd (num) {\n    if (this.isZero()) return num.abs();\n    if (num.isZero()) return this.abs();\n\n    var a = this.clone();\n    var b = num.clone();\n    a.negative = 0;\n    b.negative = 0;\n\n    // Remove common factor of two\n    for (var shift = 0; a.isEven() && b.isEven(); shift++) {\n      a.iushrn(1);\n      b.iushrn(1);\n    }\n\n    do {\n      while (a.isEven()) {\n        a.iushrn(1);\n      }\n      while (b.isEven()) {\n        b.iushrn(1);\n      }\n\n      var r = a.cmp(b);\n      if (r < 0) {\n        // Swap `a` and `b` to make `a` always bigger than `b`\n        var t = a;\n        a = b;\n        b = t;\n      } else if (r === 0 || b.cmpn(1) === 0) {\n        break;\n      }\n\n      a.isub(b);\n    } while (true);\n\n    return b.iushln(shift);\n  };\n\n  // Invert number in the field F(num)\n  BN.prototype.invm = function invm (num) {\n    return this.egcd(num).a.umod(num);\n  };\n\n  BN.prototype.isEven = function isEven () {\n    return (this.words[0] & 1) === 0;\n  };\n\n  BN.prototype.isOdd = function isOdd () {\n    return (this.words[0] & 1) === 1;\n  };\n\n  // And first word and num\n  BN.prototype.andln = function andln (num) {\n    return this.words[0] & num;\n  };\n\n  // Increment at the bit position in-line\n  BN.prototype.bincn = function bincn (bit) {\n    assert(typeof bit === 'number');\n    var r = bit % 26;\n    var s = (bit - r) / 26;\n    var q = 1 << r;\n\n    // Fast case: bit is much higher than all existing words\n    if (this.length <= s) {\n      this._expand(s + 1);\n      this.words[s] |= q;\n      return this;\n    }\n\n    // Add bit and propagate, if needed\n    var carry = q;\n    for (var i = s; carry !== 0 && i < this.length; i++) {\n      var w = this.words[i] | 0;\n      w += carry;\n      carry = w >>> 26;\n      w &= 0x3ffffff;\n      this.words[i] = w;\n    }\n    if (carry !== 0) {\n      this.words[i] = carry;\n      this.length++;\n    }\n    return this;\n  };\n\n  BN.prototype.isZero = function isZero () {\n    return this.length === 1 && this.words[0] === 0;\n  };\n\n  BN.prototype.cmpn = function cmpn (num) {\n    var negative = num < 0;\n\n    if (this.negative !== 0 && !negative) return -1;\n    if (this.negative === 0 && negative) return 1;\n\n    this.strip();\n\n    var res;\n    if (this.length > 1) {\n      res = 1;\n    } else {\n      if (negative) {\n        num = -num;\n      }\n\n      assert(num <= 0x3ffffff, 'Number is too big');\n\n      var w = this.words[0] | 0;\n      res = w === num ? 0 : w < num ? -1 : 1;\n    }\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Compare two numbers and return:\n  // 1 - if `this` > `num`\n  // 0 - if `this` == `num`\n  // -1 - if `this` < `num`\n  BN.prototype.cmp = function cmp (num) {\n    if (this.negative !== 0 && num.negative === 0) return -1;\n    if (this.negative === 0 && num.negative !== 0) return 1;\n\n    var res = this.ucmp(num);\n    if (this.negative !== 0) return -res | 0;\n    return res;\n  };\n\n  // Unsigned comparison\n  BN.prototype.ucmp = function ucmp (num) {\n    // At this point both numbers have the same sign\n    if (this.length > num.length) return 1;\n    if (this.length < num.length) return -1;\n\n    var res = 0;\n    for (var i = this.length - 1; i >= 0; i--) {\n      var a = this.words[i] | 0;\n      var b = num.words[i] | 0;\n\n      if (a === b) continue;\n      if (a < b) {\n        res = -1;\n      } else if (a > b) {\n        res = 1;\n      }\n      break;\n    }\n    return res;\n  };\n\n  BN.prototype.gtn = function gtn (num) {\n    return this.cmpn(num) === 1;\n  };\n\n  BN.prototype.gt = function gt (num) {\n    return this.cmp(num) === 1;\n  };\n\n  BN.prototype.gten = function gten (num) {\n    return this.cmpn(num) >= 0;\n  };\n\n  BN.prototype.gte = function gte (num) {\n    return this.cmp(num) >= 0;\n  };\n\n  BN.prototype.ltn = function ltn (num) {\n    return this.cmpn(num) === -1;\n  };\n\n  BN.prototype.lt = function lt (num) {\n    return this.cmp(num) === -1;\n  };\n\n  BN.prototype.lten = function lten (num) {\n    return this.cmpn(num) <= 0;\n  };\n\n  BN.prototype.lte = function lte (num) {\n    return this.cmp(num) <= 0;\n  };\n\n  BN.prototype.eqn = function eqn (num) {\n    return this.cmpn(num) === 0;\n  };\n\n  BN.prototype.eq = function eq (num) {\n    return this.cmp(num) === 0;\n  };\n\n  //\n  // A reduce context, could be using montgomery or something better, depending\n  // on the `m` itself.\n  //\n  BN.red = function red (num) {\n    return new Red(num);\n  };\n\n  BN.prototype.toRed = function toRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    assert(this.negative === 0, 'red works only with positives');\n    return ctx.convertTo(this)._forceRed(ctx);\n  };\n\n  BN.prototype.fromRed = function fromRed () {\n    assert(this.red, 'fromRed works only with numbers in reduction context');\n    return this.red.convertFrom(this);\n  };\n\n  BN.prototype._forceRed = function _forceRed (ctx) {\n    this.red = ctx;\n    return this;\n  };\n\n  BN.prototype.forceRed = function forceRed (ctx) {\n    assert(!this.red, 'Already a number in reduction context');\n    return this._forceRed(ctx);\n  };\n\n  BN.prototype.redAdd = function redAdd (num) {\n    assert(this.red, 'redAdd works only with red numbers');\n    return this.red.add(this, num);\n  };\n\n  BN.prototype.redIAdd = function redIAdd (num) {\n    assert(this.red, 'redIAdd works only with red numbers');\n    return this.red.iadd(this, num);\n  };\n\n  BN.prototype.redSub = function redSub (num) {\n    assert(this.red, 'redSub works only with red numbers');\n    return this.red.sub(this, num);\n  };\n\n  BN.prototype.redISub = function redISub (num) {\n    assert(this.red, 'redISub works only with red numbers');\n    return this.red.isub(this, num);\n  };\n\n  BN.prototype.redShl = function redShl (num) {\n    assert(this.red, 'redShl works only with red numbers');\n    return this.red.shl(this, num);\n  };\n\n  BN.prototype.redMul = function redMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.mul(this, num);\n  };\n\n  BN.prototype.redIMul = function redIMul (num) {\n    assert(this.red, 'redMul works only with red numbers');\n    this.red._verify2(this, num);\n    return this.red.imul(this, num);\n  };\n\n  BN.prototype.redSqr = function redSqr () {\n    assert(this.red, 'redSqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqr(this);\n  };\n\n  BN.prototype.redISqr = function redISqr () {\n    assert(this.red, 'redISqr works only with red numbers');\n    this.red._verify1(this);\n    return this.red.isqr(this);\n  };\n\n  // Square root over p\n  BN.prototype.redSqrt = function redSqrt () {\n    assert(this.red, 'redSqrt works only with red numbers');\n    this.red._verify1(this);\n    return this.red.sqrt(this);\n  };\n\n  BN.prototype.redInvm = function redInvm () {\n    assert(this.red, 'redInvm works only with red numbers');\n    this.red._verify1(this);\n    return this.red.invm(this);\n  };\n\n  // Return negative clone of `this` % `red modulo`\n  BN.prototype.redNeg = function redNeg () {\n    assert(this.red, 'redNeg works only with red numbers');\n    this.red._verify1(this);\n    return this.red.neg(this);\n  };\n\n  BN.prototype.redPow = function redPow (num) {\n    assert(this.red && !num.red, 'redPow(normalNum)');\n    this.red._verify1(this);\n    return this.red.pow(this, num);\n  };\n\n  // Prime numbers with efficient reduction\n  var primes = {\n    k256: null,\n    p224: null,\n    p192: null,\n    p25519: null\n  };\n\n  // Pseudo-Mersenne prime\n  function MPrime (name, p) {\n    // P = 2 ^ N - K\n    this.name = name;\n    this.p = new BN(p, 16);\n    this.n = this.p.bitLength();\n    this.k = new BN(1).iushln(this.n).isub(this.p);\n\n    this.tmp = this._tmp();\n  }\n\n  MPrime.prototype._tmp = function _tmp () {\n    var tmp = new BN(null);\n    tmp.words = new Array(Math.ceil(this.n / 13));\n    return tmp;\n  };\n\n  MPrime.prototype.ireduce = function ireduce (num) {\n    // Assumes that `num` is less than `P^2`\n    // num = HI * (2 ^ N - K) + HI * K + LO = HI * K + LO (mod P)\n    var r = num;\n    var rlen;\n\n    do {\n      this.split(r, this.tmp);\n      r = this.imulK(r);\n      r = r.iadd(this.tmp);\n      rlen = r.bitLength();\n    } while (rlen > this.n);\n\n    var cmp = rlen < this.n ? -1 : r.ucmp(this.p);\n    if (cmp === 0) {\n      r.words[0] = 0;\n      r.length = 1;\n    } else if (cmp > 0) {\n      r.isub(this.p);\n    } else {\n      r.strip();\n    }\n\n    return r;\n  };\n\n  MPrime.prototype.split = function split (input, out) {\n    input.iushrn(this.n, 0, out);\n  };\n\n  MPrime.prototype.imulK = function imulK (num) {\n    return num.imul(this.k);\n  };\n\n  function K256 () {\n    MPrime.call(\n      this,\n      'k256',\n      'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f');\n  }\n  inherits(K256, MPrime);\n\n  K256.prototype.split = function split (input, output) {\n    // 256 = 9 * 26 + 22\n    var mask = 0x3fffff;\n\n    var outLen = Math.min(input.length, 9);\n    for (var i = 0; i < outLen; i++) {\n      output.words[i] = input.words[i];\n    }\n    output.length = outLen;\n\n    if (input.length <= 9) {\n      input.words[0] = 0;\n      input.length = 1;\n      return;\n    }\n\n    // Shift by 9 limbs\n    var prev = input.words[9];\n    output.words[output.length++] = prev & mask;\n\n    for (i = 10; i < input.length; i++) {\n      var next = input.words[i] | 0;\n      input.words[i - 10] = ((next & mask) << 4) | (prev >>> 22);\n      prev = next;\n    }\n    prev >>>= 22;\n    input.words[i - 10] = prev;\n    if (prev === 0 && input.length > 10) {\n      input.length -= 10;\n    } else {\n      input.length -= 9;\n    }\n  };\n\n  K256.prototype.imulK = function imulK (num) {\n    // K = 0x1000003d1 = [ 0x40, 0x3d1 ]\n    num.words[num.length] = 0;\n    num.words[num.length + 1] = 0;\n    num.length += 2;\n\n    // bounded at: 0x40 * 0x3ffffff + 0x3d0 = 0x100000390\n    var lo = 0;\n    for (var i = 0; i < num.length; i++) {\n      var w = num.words[i] | 0;\n      lo += w * 0x3d1;\n      num.words[i] = lo & 0x3ffffff;\n      lo = w * 0x40 + ((lo / 0x4000000) | 0);\n    }\n\n    // Fast length reduction\n    if (num.words[num.length - 1] === 0) {\n      num.length--;\n      if (num.words[num.length - 1] === 0) {\n        num.length--;\n      }\n    }\n    return num;\n  };\n\n  function P224 () {\n    MPrime.call(\n      this,\n      'p224',\n      'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001');\n  }\n  inherits(P224, MPrime);\n\n  function P192 () {\n    MPrime.call(\n      this,\n      'p192',\n      'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff');\n  }\n  inherits(P192, MPrime);\n\n  function P25519 () {\n    // 2 ^ 255 - 19\n    MPrime.call(\n      this,\n      '25519',\n      '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed');\n  }\n  inherits(P25519, MPrime);\n\n  P25519.prototype.imulK = function imulK (num) {\n    // K = 0x13\n    var carry = 0;\n    for (var i = 0; i < num.length; i++) {\n      var hi = (num.words[i] | 0) * 0x13 + carry;\n      var lo = hi & 0x3ffffff;\n      hi >>>= 26;\n\n      num.words[i] = lo;\n      carry = hi;\n    }\n    if (carry !== 0) {\n      num.words[num.length++] = carry;\n    }\n    return num;\n  };\n\n  // Exported mostly for testing purposes, use plain name instead\n  BN._prime = function prime (name) {\n    // Cached version of prime\n    if (primes[name]) return primes[name];\n\n    var prime;\n    if (name === 'k256') {\n      prime = new K256();\n    } else if (name === 'p224') {\n      prime = new P224();\n    } else if (name === 'p192') {\n      prime = new P192();\n    } else if (name === 'p25519') {\n      prime = new P25519();\n    } else {\n      throw new Error('Unknown prime ' + name);\n    }\n    primes[name] = prime;\n\n    return prime;\n  };\n\n  //\n  // Base reduction engine\n  //\n  function Red (m) {\n    if (typeof m === 'string') {\n      var prime = BN._prime(m);\n      this.m = prime.p;\n      this.prime = prime;\n    } else {\n      assert(m.gtn(1), 'modulus must be greater than 1');\n      this.m = m;\n      this.prime = null;\n    }\n  }\n\n  Red.prototype._verify1 = function _verify1 (a) {\n    assert(a.negative === 0, 'red works only with positives');\n    assert(a.red, 'red works only with red numbers');\n  };\n\n  Red.prototype._verify2 = function _verify2 (a, b) {\n    assert((a.negative | b.negative) === 0, 'red works only with positives');\n    assert(a.red && a.red === b.red,\n      'red works only with red numbers');\n  };\n\n  Red.prototype.imod = function imod (a) {\n    if (this.prime) return this.prime.ireduce(a)._forceRed(this);\n    return a.umod(this.m)._forceRed(this);\n  };\n\n  Red.prototype.neg = function neg (a) {\n    if (a.isZero()) {\n      return a.clone();\n    }\n\n    return this.m.sub(a)._forceRed(this);\n  };\n\n  Red.prototype.add = function add (a, b) {\n    this._verify2(a, b);\n\n    var res = a.add(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.iadd = function iadd (a, b) {\n    this._verify2(a, b);\n\n    var res = a.iadd(b);\n    if (res.cmp(this.m) >= 0) {\n      res.isub(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.sub = function sub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.sub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res._forceRed(this);\n  };\n\n  Red.prototype.isub = function isub (a, b) {\n    this._verify2(a, b);\n\n    var res = a.isub(b);\n    if (res.cmpn(0) < 0) {\n      res.iadd(this.m);\n    }\n    return res;\n  };\n\n  Red.prototype.shl = function shl (a, num) {\n    this._verify1(a);\n    return this.imod(a.ushln(num));\n  };\n\n  Red.prototype.imul = function imul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.imul(b));\n  };\n\n  Red.prototype.mul = function mul (a, b) {\n    this._verify2(a, b);\n    return this.imod(a.mul(b));\n  };\n\n  Red.prototype.isqr = function isqr (a) {\n    return this.imul(a, a.clone());\n  };\n\n  Red.prototype.sqr = function sqr (a) {\n    return this.mul(a, a);\n  };\n\n  Red.prototype.sqrt = function sqrt (a) {\n    if (a.isZero()) return a.clone();\n\n    var mod3 = this.m.andln(3);\n    assert(mod3 % 2 === 1);\n\n    // Fast case\n    if (mod3 === 3) {\n      var pow = this.m.add(new BN(1)).iushrn(2);\n      return this.pow(a, pow);\n    }\n\n    // Tonelli-Shanks algorithm (Totally unoptimized and slow)\n    //\n    // Find Q and S, that Q * 2 ^ S = (P - 1)\n    var q = this.m.subn(1);\n    var s = 0;\n    while (!q.isZero() && q.andln(1) === 0) {\n      s++;\n      q.iushrn(1);\n    }\n    assert(!q.isZero());\n\n    var one = new BN(1).toRed(this);\n    var nOne = one.redNeg();\n\n    // Find quadratic non-residue\n    // NOTE: Max is such because of generalized Riemann hypothesis.\n    var lpow = this.m.subn(1).iushrn(1);\n    var z = this.m.bitLength();\n    z = new BN(2 * z * z).toRed(this);\n\n    while (this.pow(z, lpow).cmp(nOne) !== 0) {\n      z.redIAdd(nOne);\n    }\n\n    var c = this.pow(z, q);\n    var r = this.pow(a, q.addn(1).iushrn(1));\n    var t = this.pow(a, q);\n    var m = s;\n    while (t.cmp(one) !== 0) {\n      var tmp = t;\n      for (var i = 0; tmp.cmp(one) !== 0; i++) {\n        tmp = tmp.redSqr();\n      }\n      assert(i < m);\n      var b = this.pow(c, new BN(1).iushln(m - i - 1));\n\n      r = r.redMul(b);\n      c = b.redSqr();\n      t = t.redMul(c);\n      m = i;\n    }\n\n    return r;\n  };\n\n  Red.prototype.invm = function invm (a) {\n    var inv = a._invmp(this.m);\n    if (inv.negative !== 0) {\n      inv.negative = 0;\n      return this.imod(inv).redNeg();\n    } else {\n      return this.imod(inv);\n    }\n  };\n\n  Red.prototype.pow = function pow (a, num) {\n    if (num.isZero()) return new BN(1).toRed(this);\n    if (num.cmpn(1) === 0) return a.clone();\n\n    var windowSize = 4;\n    var wnd = new Array(1 << windowSize);\n    wnd[0] = new BN(1).toRed(this);\n    wnd[1] = a;\n    for (var i = 2; i < wnd.length; i++) {\n      wnd[i] = this.mul(wnd[i - 1], a);\n    }\n\n    var res = wnd[0];\n    var current = 0;\n    var currentLen = 0;\n    var start = num.bitLength() % 26;\n    if (start === 0) {\n      start = 26;\n    }\n\n    for (i = num.length - 1; i >= 0; i--) {\n      var word = num.words[i];\n      for (var j = start - 1; j >= 0; j--) {\n        var bit = (word >> j) & 1;\n        if (res !== wnd[0]) {\n          res = this.sqr(res);\n        }\n\n        if (bit === 0 && current === 0) {\n          currentLen = 0;\n          continue;\n        }\n\n        current <<= 1;\n        current |= bit;\n        currentLen++;\n        if (currentLen !== windowSize && (i !== 0 || j !== 0)) continue;\n\n        res = this.mul(res, wnd[current]);\n        currentLen = 0;\n        current = 0;\n      }\n      start = 26;\n    }\n\n    return res;\n  };\n\n  Red.prototype.convertTo = function convertTo (num) {\n    var r = num.umod(this.m);\n\n    return r === num ? r.clone() : r;\n  };\n\n  Red.prototype.convertFrom = function convertFrom (num) {\n    var res = num.clone();\n    res.red = null;\n    return res;\n  };\n\n  //\n  // Montgomery method engine\n  //\n\n  BN.mont = function mont (num) {\n    return new Mont(num);\n  };\n\n  function Mont (m) {\n    Red.call(this, m);\n\n    this.shift = this.m.bitLength();\n    if (this.shift % 26 !== 0) {\n      this.shift += 26 - (this.shift % 26);\n    }\n\n    this.r = new BN(1).iushln(this.shift);\n    this.r2 = this.imod(this.r.sqr());\n    this.rinv = this.r._invmp(this.m);\n\n    this.minv = this.rinv.mul(this.r).isubn(1).div(this.m);\n    this.minv = this.minv.umod(this.r);\n    this.minv = this.r.sub(this.minv);\n  }\n  inherits(Mont, Red);\n\n  Mont.prototype.convertTo = function convertTo (num) {\n    return this.imod(num.ushln(this.shift));\n  };\n\n  Mont.prototype.convertFrom = function convertFrom (num) {\n    var r = this.imod(num.mul(this.rinv));\n    r.red = null;\n    return r;\n  };\n\n  Mont.prototype.imul = function imul (a, b) {\n    if (a.isZero() || b.isZero()) {\n      a.words[0] = 0;\n      a.length = 1;\n      return a;\n    }\n\n    var t = a.imul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.mul = function mul (a, b) {\n    if (a.isZero() || b.isZero()) return new BN(0)._forceRed(this);\n\n    var t = a.mul(b);\n    var c = t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m);\n    var u = t.isub(c).iushrn(this.shift);\n    var res = u;\n    if (u.cmp(this.m) >= 0) {\n      res = u.isub(this.m);\n    } else if (u.cmpn(0) < 0) {\n      res = u.iadd(this.m);\n    }\n\n    return res._forceRed(this);\n  };\n\n  Mont.prototype.invm = function invm (a) {\n    // (AR)^-1 * R^2 = (A^-1 * R^-1) * R^2 = A^-1 * R\n    var res = this.imod(a._invmp(this.m).mul(this.r2));\n    return res._forceRed(this);\n  };\n})(typeof module === 'undefined' || module, this);\n","var r;\n\nmodule.exports = function rand(len) {\n  if (!r)\n    r = new Rand(null);\n\n  return r.generate(len);\n};\n\nfunction Rand(rand) {\n  this.rand = rand;\n}\nmodule.exports.Rand = Rand;\n\nRand.prototype.generate = function generate(len) {\n  return this._rand(len);\n};\n\n// Emulate crypto API using randy\nRand.prototype._rand = function _rand(n) {\n  if (this.rand.getBytes)\n    return this.rand.getBytes(n);\n\n  var res = new Uint8Array(n);\n  for (var i = 0; i < res.length; i++)\n    res[i] = this.rand.getByte();\n  return res;\n};\n\nif (typeof self === 'object') {\n  if (self.crypto && self.crypto.getRandomValues) {\n    // Modern browsers\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.crypto.getRandomValues(arr);\n      return arr;\n    };\n  } else if (self.msCrypto && self.msCrypto.getRandomValues) {\n    // IE\n    Rand.prototype._rand = function _rand(n) {\n      var arr = new Uint8Array(n);\n      self.msCrypto.getRandomValues(arr);\n      return arr;\n    };\n\n  // Safari's WebWorkers do not have `crypto`\n  } else if (typeof window === 'object') {\n    // Old junk\n    Rand.prototype._rand = function() {\n      throw new Error('Not implemented yet');\n    };\n  }\n} else {\n  // Node.js or Web worker with no crypto support\n  try {\n    var crypto = require('crypto');\n    if (typeof crypto.randomBytes !== 'function')\n      throw new Error('Not supported');\n\n    Rand.prototype._rand = function _rand(n) {\n      return crypto.randomBytes(n);\n    };\n  } catch (e) {\n  }\n}\n","var bn = require('bn.js');\nvar brorand = require('brorand');\n\nfunction MillerRabin(rand) {\n  this.rand = rand || new brorand.Rand();\n}\nmodule.exports = MillerRabin;\n\nMillerRabin.create = function create(rand) {\n  return new MillerRabin(rand);\n};\n\nMillerRabin.prototype._randbelow = function _randbelow(n) {\n  var len = n.bitLength();\n  var min_bytes = Math.ceil(len / 8);\n\n  // Generage random bytes until a number less than n is found.\n  // This ensures that 0..n-1 have an equal probability of being selected.\n  do\n    var a = new bn(this.rand.generate(min_bytes));\n  while (a.cmp(n) >= 0);\n\n  return a;\n};\n\nMillerRabin.prototype._randrange = function _randrange(start, stop) {\n  // Generate a random number greater than or equal to start and less than stop.\n  var size = stop.sub(start);\n  return start.add(this._randbelow(size));\n};\n\nMillerRabin.prototype.test = function test(n, k, cb) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  var prime = true;\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n    if (cb)\n      cb(a);\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return false;\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s)\n      return false;\n  }\n\n  return prime;\n};\n\nMillerRabin.prototype.getDivisor = function getDivisor(n, k) {\n  var len = n.bitLength();\n  var red = bn.mont(n);\n  var rone = new bn(1).toRed(red);\n\n  if (!k)\n    k = Math.max(1, (len / 48) | 0);\n\n  // Find d and s, (n - 1) = (2 ^ s) * d;\n  var n1 = n.subn(1);\n  for (var s = 0; !n1.testn(s); s++) {}\n  var d = n.shrn(s);\n\n  var rn1 = n1.toRed(red);\n\n  for (; k > 0; k--) {\n    var a = this._randrange(new bn(2), n1);\n\n    var g = n.gcd(a);\n    if (g.cmpn(1) !== 0)\n      return g;\n\n    var x = a.toRed(red).redPow(d);\n    if (x.cmp(rone) === 0 || x.cmp(rn1) === 0)\n      continue;\n\n    for (var i = 1; i < s; i++) {\n      x = x.redSqr();\n\n      if (x.cmp(rone) === 0)\n        return x.fromRed().subn(1).gcd(n);\n      if (x.cmp(rn1) === 0)\n        break;\n    }\n\n    if (i === s) {\n      x = x.redSqr();\n      return x.fromRed().subn(1).gcd(n);\n    }\n  }\n\n  return false;\n};\n","var randomBytes = require('randombytes');\nmodule.exports = findPrime;\nfindPrime.simpleSieve = simpleSieve;\nfindPrime.fermatTest = fermatTest;\nvar BN = require('bn.js');\nvar TWENTYFOUR = new BN(24);\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar ONE = new BN(1);\nvar TWO = new BN(2);\nvar FIVE = new BN(5);\nvar SIXTEEN = new BN(16);\nvar EIGHT = new BN(8);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar ELEVEN = new BN(11);\nvar FOUR = new BN(4);\nvar TWELVE = new BN(12);\nvar primes = null;\n\nfunction _getPrimes() {\n  if (primes !== null)\n    return primes;\n\n  var limit = 0x100000;\n  var res = [];\n  res[0] = 2;\n  for (var i = 1, k = 3; k < limit; k += 2) {\n    var sqrt = Math.ceil(Math.sqrt(k));\n    for (var j = 0; j < i && res[j] <= sqrt; j++)\n      if (k % res[j] === 0)\n        break;\n\n    if (i !== j && res[j] <= sqrt)\n      continue;\n\n    res[i++] = k;\n  }\n  primes = res;\n  return res;\n}\n\nfunction simpleSieve(p) {\n  var primes = _getPrimes();\n\n  for (var i = 0; i < primes.length; i++)\n    if (p.modn(primes[i]) === 0) {\n      if (p.cmpn(primes[i]) === 0) {\n        return true;\n      } else {\n        return false;\n      }\n    }\n\n  return true;\n}\n\nfunction fermatTest(p) {\n  var red = BN.mont(p);\n  return TWO.toRed(red).redPow(p.subn(1)).fromRed().cmpn(1) === 0;\n}\n\nfunction findPrime(bits, gen) {\n  if (bits < 16) {\n    // this is what openssl does\n    if (gen === 2 || gen === 5) {\n      return new BN([0x8c, 0x7b]);\n    } else {\n      return new BN([0x8c, 0x27]);\n    }\n  }\n  gen = new BN(gen);\n\n  var num, n2;\n\n  while (true) {\n    num = new BN(randomBytes(Math.ceil(bits / 8)));\n    while (num.bitLength() > bits) {\n      num.ishrn(1);\n    }\n    if (num.isEven()) {\n      num.iadd(ONE);\n    }\n    if (!num.testn(1)) {\n      num.iadd(TWO);\n    }\n    if (!gen.cmp(TWO)) {\n      while (num.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        num.iadd(FOUR);\n      }\n    } else if (!gen.cmp(FIVE)) {\n      while (num.mod(TEN).cmp(THREE)) {\n        num.iadd(FOUR);\n      }\n    }\n    n2 = num.shrn(1);\n    if (simpleSieve(n2) && simpleSieve(num) &&\n      fermatTest(n2) && fermatTest(num) &&\n      millerRabin.test(n2) && millerRabin.test(num)) {\n      return num;\n    }\n  }\n\n}\n","var BN = require('bn.js');\nvar MillerRabin = require('miller-rabin');\nvar millerRabin = new MillerRabin();\nvar TWENTYFOUR = new BN(24);\nvar ELEVEN = new BN(11);\nvar TEN = new BN(10);\nvar THREE = new BN(3);\nvar SEVEN = new BN(7);\nvar primes = require('./generatePrime');\nvar randomBytes = require('randombytes');\nmodule.exports = DH;\n\nfunction setPublicKey(pub, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc);\n  }\n  this._pub = new BN(pub);\n  return this;\n}\n\nfunction setPrivateKey(priv, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc);\n  }\n  this._priv = new BN(priv);\n  return this;\n}\n\nvar primeCache = {};\nfunction checkPrime(prime, generator) {\n  var gen = generator.toString('hex');\n  var hex = [gen, prime.toString(16)].join('_');\n  if (hex in primeCache) {\n    return primeCache[hex];\n  }\n  var error = 0;\n\n  if (prime.isEven() ||\n    !primes.simpleSieve ||\n    !primes.fermatTest(prime) ||\n    !millerRabin.test(prime)) {\n    //not a prime so +1\n    error += 1;\n\n    if (gen === '02' || gen === '05') {\n      // we'd be able to check the generator\n      // it would fail so +8\n      error += 8;\n    } else {\n      //we wouldn't be able to test the generator\n      // so +4\n      error += 4;\n    }\n    primeCache[hex] = error;\n    return error;\n  }\n  if (!millerRabin.test(prime.shrn(1))) {\n    //not a safe prime\n    error += 2;\n  }\n  var rem;\n  switch (gen) {\n    case '02':\n      if (prime.mod(TWENTYFOUR).cmp(ELEVEN)) {\n        // unsuidable generator\n        error += 8;\n      }\n      break;\n    case '05':\n      rem = prime.mod(TEN);\n      if (rem.cmp(THREE) && rem.cmp(SEVEN)) {\n        // prime mod 10 needs to equal 3 or 7\n        error += 8;\n      }\n      break;\n    default:\n      error += 4;\n  }\n  primeCache[hex] = error;\n  return error;\n}\n\nfunction DH(prime, generator, malleable) {\n  this.setGenerator(generator);\n  this.__prime = new BN(prime);\n  this._prime = BN.mont(this.__prime);\n  this._primeLen = prime.length;\n  this._pub = undefined;\n  this._priv = undefined;\n  this._primeCode = undefined;\n  if (malleable) {\n    this.setPublicKey = setPublicKey;\n    this.setPrivateKey = setPrivateKey;\n  } else {\n    this._primeCode = 8;\n  }\n}\nObject.defineProperty(DH.prototype, 'verifyError', {\n  enumerable: true,\n  get: function () {\n    if (typeof this._primeCode !== 'number') {\n      this._primeCode = checkPrime(this.__prime, this.__gen);\n    }\n    return this._primeCode;\n  }\n});\nDH.prototype.generateKeys = function () {\n  if (!this._priv) {\n    this._priv = new BN(randomBytes(this._primeLen));\n  }\n  this._pub = this._gen.toRed(this._prime).redPow(this._priv).fromRed();\n  return this.getPublicKey();\n};\n\nDH.prototype.computeSecret = function (other) {\n  other = new BN(other);\n  other = other.toRed(this._prime);\n  var secret = other.redPow(this._priv).fromRed();\n  var out = new Buffer(secret.toArray());\n  var prime = this.getPrime();\n  if (out.length < prime.length) {\n    var front = new Buffer(prime.length - out.length);\n    front.fill(0);\n    out = Buffer.concat([front, out]);\n  }\n  return out;\n};\n\nDH.prototype.getPublicKey = function getPublicKey(enc) {\n  return formatReturnValue(this._pub, enc);\n};\n\nDH.prototype.getPrivateKey = function getPrivateKey(enc) {\n  return formatReturnValue(this._priv, enc);\n};\n\nDH.prototype.getPrime = function (enc) {\n  return formatReturnValue(this.__prime, enc);\n};\n\nDH.prototype.getGenerator = function (enc) {\n  return formatReturnValue(this._gen, enc);\n};\n\nDH.prototype.setGenerator = function (gen, enc) {\n  enc = enc || 'utf8';\n  if (!Buffer.isBuffer(gen)) {\n    gen = new Buffer(gen, enc);\n  }\n  this.__gen = gen;\n  this._gen = new BN(gen);\n  return this;\n};\n\nfunction formatReturnValue(bn, enc) {\n  var buf = new Buffer(bn.toArray());\n  if (!enc) {\n    return buf;\n  } else {\n    return buf.toString(enc);\n  }\n}\n","var generatePrime = require('./lib/generatePrime')\nvar primes = require('./lib/primes.json')\n\nvar DH = require('./lib/dh')\n\nfunction getDiffieHellman (mod) {\n  var prime = new Buffer(primes[mod].prime, 'hex')\n  var gen = new Buffer(primes[mod].gen, 'hex')\n\n  return new DH(prime, gen)\n}\n\nvar ENCODINGS = {\n  'binary': true, 'hex': true, 'base64': true\n}\n\nfunction createDiffieHellman (prime, enc, generator, genc) {\n  if (Buffer.isBuffer(enc) || ENCODINGS[enc] === undefined) {\n    return createDiffieHellman(prime, 'binary', enc, generator)\n  }\n\n  enc = enc || 'binary'\n  genc = genc || 'binary'\n  generator = generator || new Buffer([2])\n\n  if (!Buffer.isBuffer(generator)) {\n    generator = new Buffer(generator, genc)\n  }\n\n  if (typeof prime === 'number') {\n    return new DH(generatePrime(prime, generator), generator, true)\n  }\n\n  if (!Buffer.isBuffer(prime)) {\n    prime = new Buffer(prime, enc)\n  }\n\n  return new DH(prime, generator, true)\n}\n\nexports.DiffieHellmanGroup = exports.createDiffieHellmanGroup = exports.getDiffieHellman = getDiffieHellman\nexports.createDiffieHellman = exports.DiffieHellman = createDiffieHellman\n","var bn = require('bn.js');\nvar randomBytes = require('randombytes');\nmodule.exports = crt;\nfunction blind(priv) {\n  var r = getr(priv);\n  var blinder = r.toRed(bn.mont(priv.modulus))\n  .redPow(new bn(priv.publicExponent)).fromRed();\n  return {\n    blinder: blinder,\n    unblinder:r.invm(priv.modulus)\n  };\n}\nfunction crt(msg, priv) {\n  var blinds = blind(priv);\n  var len = priv.modulus.byteLength();\n  var mod = bn.mont(priv.modulus);\n  var blinded = new bn(msg).mul(blinds.blinder).umod(priv.modulus);\n  var c1 = blinded.toRed(bn.mont(priv.prime1));\n  var c2 = blinded.toRed(bn.mont(priv.prime2));\n  var qinv = priv.coefficient;\n  var p = priv.prime1;\n  var q = priv.prime2;\n  var m1 = c1.redPow(priv.exponent1);\n  var m2 = c2.redPow(priv.exponent2);\n  m1 = m1.fromRed();\n  m2 = m2.fromRed();\n  var h = m1.isub(m2).imul(qinv).umod(p);\n  h.imul(q);\n  m2.iadd(h);\n  return new Buffer(m2.imul(blinds.unblinder).umod(priv.modulus).toArray(false, len));\n}\ncrt.getr = getr;\nfunction getr(priv) {\n  var len = priv.modulus.byteLength();\n  var r = new bn(randomBytes(len));\n  while (r.cmp(priv.modulus) >=  0 || !r.umod(priv.prime1) || !r.umod(priv.prime2)) {\n    r = new bn(randomBytes(len));\n  }\n  return r;\n}\n","'use strict';\n\nvar utils = exports;\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg !== 'string') {\n    for (var i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n    return res;\n  }\n  if (enc === 'hex') {\n    msg = msg.replace(/[^a-z0-9]+/ig, '');\n    if (msg.length % 2 !== 0)\n      msg = '0' + msg;\n    for (var i = 0; i < msg.length; i += 2)\n      res.push(parseInt(msg[i] + msg[i + 1], 16));\n  } else {\n    for (var i = 0; i < msg.length; i++) {\n      var c = msg.charCodeAt(i);\n      var hi = c >> 8;\n      var lo = c & 0xff;\n      if (hi)\n        res.push(hi, lo);\n      else\n        res.push(lo);\n    }\n  }\n  return res;\n}\nutils.toArray = toArray;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nutils.zero2 = zero2;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nutils.toHex = toHex;\n\nutils.encode = function encode(arr, enc) {\n  if (enc === 'hex')\n    return toHex(arr);\n  else\n    return arr;\n};\n","'use strict';\n\nvar utils = exports;\nvar BN = require('bn.js');\nvar minAssert = require('minimalistic-assert');\nvar minUtils = require('minimalistic-crypto-utils');\n\nutils.assert = minAssert;\nutils.toArray = minUtils.toArray;\nutils.zero2 = minUtils.zero2;\nutils.toHex = minUtils.toHex;\nutils.encode = minUtils.encode;\n\n// Represent num in a w-NAF form\nfunction getNAF(num, w) {\n  var naf = [];\n  var ws = 1 << (w + 1);\n  var k = num.clone();\n  while (k.cmpn(1) >= 0) {\n    var z;\n    if (k.isOdd()) {\n      var mod = k.andln(ws - 1);\n      if (mod > (ws >> 1) - 1)\n        z = (ws >> 1) - mod;\n      else\n        z = mod;\n      k.isubn(z);\n    } else {\n      z = 0;\n    }\n    naf.push(z);\n\n    // Optimization, shift by word if possible\n    var shift = (k.cmpn(0) !== 0 && k.andln(ws - 1) === 0) ? (w + 1) : 1;\n    for (var i = 1; i < shift; i++)\n      naf.push(0);\n    k.iushrn(shift);\n  }\n\n  return naf;\n}\nutils.getNAF = getNAF;\n\n// Represent k1, k2 in a Joint Sparse Form\nfunction getJSF(k1, k2) {\n  var jsf = [\n    [],\n    []\n  ];\n\n  k1 = k1.clone();\n  k2 = k2.clone();\n  var d1 = 0;\n  var d2 = 0;\n  while (k1.cmpn(-d1) > 0 || k2.cmpn(-d2) > 0) {\n\n    // First phase\n    var m14 = (k1.andln(3) + d1) & 3;\n    var m24 = (k2.andln(3) + d2) & 3;\n    if (m14 === 3)\n      m14 = -1;\n    if (m24 === 3)\n      m24 = -1;\n    var u1;\n    if ((m14 & 1) === 0) {\n      u1 = 0;\n    } else {\n      var m8 = (k1.andln(7) + d1) & 7;\n      if ((m8 === 3 || m8 === 5) && m24 === 2)\n        u1 = -m14;\n      else\n        u1 = m14;\n    }\n    jsf[0].push(u1);\n\n    var u2;\n    if ((m24 & 1) === 0) {\n      u2 = 0;\n    } else {\n      var m8 = (k2.andln(7) + d2) & 7;\n      if ((m8 === 3 || m8 === 5) && m14 === 2)\n        u2 = -m24;\n      else\n        u2 = m24;\n    }\n    jsf[1].push(u2);\n\n    // Second phase\n    if (2 * d1 === u1 + 1)\n      d1 = 1 - d1;\n    if (2 * d2 === u2 + 1)\n      d2 = 1 - d2;\n    k1.iushrn(1);\n    k2.iushrn(1);\n  }\n\n  return jsf;\n}\nutils.getJSF = getJSF;\n\nfunction cachedProperty(obj, name, computer) {\n  var key = '_' + name;\n  obj.prototype[name] = function cachedProperty() {\n    return this[key] !== undefined ? this[key] :\n           this[key] = computer.call(this);\n  };\n}\nutils.cachedProperty = cachedProperty;\n\nfunction parseBytes(bytes) {\n  return typeof bytes === 'string' ? utils.toArray(bytes, 'hex') :\n                                     bytes;\n}\nutils.parseBytes = parseBytes;\n\nfunction intFromLE(bytes) {\n  return new BN(bytes, 'hex', 'le');\n}\nutils.intFromLE = intFromLE;\n\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar getNAF = utils.getNAF;\nvar getJSF = utils.getJSF;\nvar assert = utils.assert;\n\nfunction BaseCurve(type, conf) {\n  this.type = type;\n  this.p = new BN(conf.p, 16);\n\n  // Use Montgomery, when there is no fast reduction for the prime\n  this.red = conf.prime ? BN.red(conf.prime) : BN.mont(this.p);\n\n  // Useful for many curves\n  this.zero = new BN(0).toRed(this.red);\n  this.one = new BN(1).toRed(this.red);\n  this.two = new BN(2).toRed(this.red);\n\n  // Curve configuration, optional\n  this.n = conf.n && new BN(conf.n, 16);\n  this.g = conf.g && this.pointFromJSON(conf.g, conf.gRed);\n\n  // Temporary arrays\n  this._wnafT1 = new Array(4);\n  this._wnafT2 = new Array(4);\n  this._wnafT3 = new Array(4);\n  this._wnafT4 = new Array(4);\n\n  // Generalized Greg Maxwell's trick\n  var adjustCount = this.n && this.p.div(this.n);\n  if (!adjustCount || adjustCount.cmpn(100) > 0) {\n    this.redN = null;\n  } else {\n    this._maxwellTrick = true;\n    this.redN = this.n.toRed(this.red);\n  }\n}\nmodule.exports = BaseCurve;\n\nBaseCurve.prototype.point = function point() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype.validate = function validate() {\n  throw new Error('Not implemented');\n};\n\nBaseCurve.prototype._fixedNafMul = function _fixedNafMul(p, k) {\n  assert(p.precomputed);\n  var doubles = p._getDoubles();\n\n  var naf = getNAF(k, 1);\n  var I = (1 << (doubles.step + 1)) - (doubles.step % 2 === 0 ? 2 : 1);\n  I /= 3;\n\n  // Translate into more windowed form\n  var repr = [];\n  for (var j = 0; j < naf.length; j += doubles.step) {\n    var nafW = 0;\n    for (var k = j + doubles.step - 1; k >= j; k--)\n      nafW = (nafW << 1) + naf[k];\n    repr.push(nafW);\n  }\n\n  var a = this.jpoint(null, null, null);\n  var b = this.jpoint(null, null, null);\n  for (var i = I; i > 0; i--) {\n    for (var j = 0; j < repr.length; j++) {\n      var nafW = repr[j];\n      if (nafW === i)\n        b = b.mixedAdd(doubles.points[j]);\n      else if (nafW === -i)\n        b = b.mixedAdd(doubles.points[j].neg());\n    }\n    a = a.add(b);\n  }\n  return a.toP();\n};\n\nBaseCurve.prototype._wnafMul = function _wnafMul(p, k) {\n  var w = 4;\n\n  // Precompute window\n  var nafPoints = p._getNAFPoints(w);\n  w = nafPoints.wnd;\n  var wnd = nafPoints.points;\n\n  // Get NAF form\n  var naf = getNAF(k, w);\n\n  // Add `this`*(N+1) for every w-NAF index\n  var acc = this.jpoint(null, null, null);\n  for (var i = naf.length - 1; i >= 0; i--) {\n    // Count zeroes\n    for (var k = 0; i >= 0 && naf[i] === 0; i--)\n      k++;\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n\n    if (i < 0)\n      break;\n    var z = naf[i];\n    assert(z !== 0);\n    if (p.type === 'affine') {\n      // J +- P\n      if (z > 0)\n        acc = acc.mixedAdd(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.mixedAdd(wnd[(-z - 1) >> 1].neg());\n    } else {\n      // J +- J\n      if (z > 0)\n        acc = acc.add(wnd[(z - 1) >> 1]);\n      else\n        acc = acc.add(wnd[(-z - 1) >> 1].neg());\n    }\n  }\n  return p.type === 'affine' ? acc.toP() : acc;\n};\n\nBaseCurve.prototype._wnafMulAdd = function _wnafMulAdd(defW,\n                                                       points,\n                                                       coeffs,\n                                                       len,\n                                                       jacobianResult) {\n  var wndWidth = this._wnafT1;\n  var wnd = this._wnafT2;\n  var naf = this._wnafT3;\n\n  // Fill all arrays\n  var max = 0;\n  for (var i = 0; i < len; i++) {\n    var p = points[i];\n    var nafPoints = p._getNAFPoints(defW);\n    wndWidth[i] = nafPoints.wnd;\n    wnd[i] = nafPoints.points;\n  }\n\n  // Comb small window NAFs\n  for (var i = len - 1; i >= 1; i -= 2) {\n    var a = i - 1;\n    var b = i;\n    if (wndWidth[a] !== 1 || wndWidth[b] !== 1) {\n      naf[a] = getNAF(coeffs[a], wndWidth[a]);\n      naf[b] = getNAF(coeffs[b], wndWidth[b]);\n      max = Math.max(naf[a].length, max);\n      max = Math.max(naf[b].length, max);\n      continue;\n    }\n\n    var comb = [\n      points[a], /* 1 */\n      null, /* 3 */\n      null, /* 5 */\n      points[b] /* 7 */\n    ];\n\n    // Try to avoid Projective points, if possible\n    if (points[a].y.cmp(points[b].y) === 0) {\n      comb[1] = points[a].add(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    } else if (points[a].y.cmp(points[b].y.redNeg()) === 0) {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].add(points[b].neg());\n    } else {\n      comb[1] = points[a].toJ().mixedAdd(points[b]);\n      comb[2] = points[a].toJ().mixedAdd(points[b].neg());\n    }\n\n    var index = [\n      -3, /* -1 -1 */\n      -1, /* -1 0 */\n      -5, /* -1 1 */\n      -7, /* 0 -1 */\n      0, /* 0 0 */\n      7, /* 0 1 */\n      5, /* 1 -1 */\n      1, /* 1 0 */\n      3  /* 1 1 */\n    ];\n\n    var jsf = getJSF(coeffs[a], coeffs[b]);\n    max = Math.max(jsf[0].length, max);\n    naf[a] = new Array(max);\n    naf[b] = new Array(max);\n    for (var j = 0; j < max; j++) {\n      var ja = jsf[0][j] | 0;\n      var jb = jsf[1][j] | 0;\n\n      naf[a][j] = index[(ja + 1) * 3 + (jb + 1)];\n      naf[b][j] = 0;\n      wnd[a] = comb;\n    }\n  }\n\n  var acc = this.jpoint(null, null, null);\n  var tmp = this._wnafT4;\n  for (var i = max; i >= 0; i--) {\n    var k = 0;\n\n    while (i >= 0) {\n      var zero = true;\n      for (var j = 0; j < len; j++) {\n        tmp[j] = naf[j][i] | 0;\n        if (tmp[j] !== 0)\n          zero = false;\n      }\n      if (!zero)\n        break;\n      k++;\n      i--;\n    }\n    if (i >= 0)\n      k++;\n    acc = acc.dblp(k);\n    if (i < 0)\n      break;\n\n    for (var j = 0; j < len; j++) {\n      var z = tmp[j];\n      var p;\n      if (z === 0)\n        continue;\n      else if (z > 0)\n        p = wnd[j][(z - 1) >> 1];\n      else if (z < 0)\n        p = wnd[j][(-z - 1) >> 1].neg();\n\n      if (p.type === 'affine')\n        acc = acc.mixedAdd(p);\n      else\n        acc = acc.add(p);\n    }\n  }\n  // Zeroify references\n  for (var i = 0; i < len; i++)\n    wnd[i] = null;\n\n  if (jacobianResult)\n    return acc;\n  else\n    return acc.toP();\n};\n\nfunction BasePoint(curve, type) {\n  this.curve = curve;\n  this.type = type;\n  this.precomputed = null;\n}\nBaseCurve.BasePoint = BasePoint;\n\nBasePoint.prototype.eq = function eq(/*other*/) {\n  throw new Error('Not implemented');\n};\n\nBasePoint.prototype.validate = function validate() {\n  return this.curve.validate(this);\n};\n\nBaseCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  bytes = utils.toArray(bytes, enc);\n\n  var len = this.p.byteLength();\n\n  // uncompressed, hybrid-odd, hybrid-even\n  if ((bytes[0] === 0x04 || bytes[0] === 0x06 || bytes[0] === 0x07) &&\n      bytes.length - 1 === 2 * len) {\n    if (bytes[0] === 0x06)\n      assert(bytes[bytes.length - 1] % 2 === 0);\n    else if (bytes[0] === 0x07)\n      assert(bytes[bytes.length - 1] % 2 === 1);\n\n    var res =  this.point(bytes.slice(1, 1 + len),\n                          bytes.slice(1 + len, 1 + 2 * len));\n\n    return res;\n  } else if ((bytes[0] === 0x02 || bytes[0] === 0x03) &&\n              bytes.length - 1 === len) {\n    return this.pointFromX(bytes.slice(1, 1 + len), bytes[0] === 0x03);\n  }\n  throw new Error('Unknown point format');\n};\n\nBasePoint.prototype.encodeCompressed = function encodeCompressed(enc) {\n  return this.encode(enc, true);\n};\n\nBasePoint.prototype._encode = function _encode(compact) {\n  var len = this.curve.p.byteLength();\n  var x = this.getX().toArray('be', len);\n\n  if (compact)\n    return [ this.getY().isEven() ? 0x02 : 0x03 ].concat(x);\n\n  return [ 0x04 ].concat(x, this.getY().toArray('be', len)) ;\n};\n\nBasePoint.prototype.encode = function encode(enc, compact) {\n  return utils.encode(this._encode(compact), enc);\n};\n\nBasePoint.prototype.precompute = function precompute(power) {\n  if (this.precomputed)\n    return this;\n\n  var precomputed = {\n    doubles: null,\n    naf: null,\n    beta: null\n  };\n  precomputed.naf = this._getNAFPoints(8);\n  precomputed.doubles = this._getDoubles(4, power);\n  precomputed.beta = this._getBeta();\n  this.precomputed = precomputed;\n\n  return this;\n};\n\nBasePoint.prototype._hasDoubles = function _hasDoubles(k) {\n  if (!this.precomputed)\n    return false;\n\n  var doubles = this.precomputed.doubles;\n  if (!doubles)\n    return false;\n\n  return doubles.points.length >= Math.ceil((k.bitLength() + 1) / doubles.step);\n};\n\nBasePoint.prototype._getDoubles = function _getDoubles(step, power) {\n  if (this.precomputed && this.precomputed.doubles)\n    return this.precomputed.doubles;\n\n  var doubles = [ this ];\n  var acc = this;\n  for (var i = 0; i < power; i += step) {\n    for (var j = 0; j < step; j++)\n      acc = acc.dbl();\n    doubles.push(acc);\n  }\n  return {\n    step: step,\n    points: doubles\n  };\n};\n\nBasePoint.prototype._getNAFPoints = function _getNAFPoints(wnd) {\n  if (this.precomputed && this.precomputed.naf)\n    return this.precomputed.naf;\n\n  var res = [ this ];\n  var max = (1 << wnd) - 1;\n  var dbl = max === 1 ? null : this.dbl();\n  for (var i = 1; i < max; i++)\n    res[i] = res[i - 1].add(dbl);\n  return {\n    wnd: wnd,\n    points: res\n  };\n};\n\nBasePoint.prototype._getBeta = function _getBeta() {\n  return null;\n};\n\nBasePoint.prototype.dblp = function dblp(k) {\n  var r = this;\n  for (var i = 0; i < k; i++)\n    r = r.dbl();\n  return r;\n};\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction ShortCurve(conf) {\n  Base.call(this, 'short', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.tinv = this.two.redInvm();\n\n  this.zeroA = this.a.fromRed().cmpn(0) === 0;\n  this.threeA = this.a.fromRed().sub(this.p).cmpn(-3) === 0;\n\n  // If the curve is endomorphic, precalculate beta and lambda\n  this.endo = this._getEndomorphism(conf);\n  this._endoWnafT1 = new Array(4);\n  this._endoWnafT2 = new Array(4);\n}\ninherits(ShortCurve, Base);\nmodule.exports = ShortCurve;\n\nShortCurve.prototype._getEndomorphism = function _getEndomorphism(conf) {\n  // No efficient endomorphism\n  if (!this.zeroA || !this.g || !this.n || this.p.modn(3) !== 1)\n    return;\n\n  // Compute beta and lambda, that lambda * P = (beta * Px; Py)\n  var beta;\n  var lambda;\n  if (conf.beta) {\n    beta = new BN(conf.beta, 16).toRed(this.red);\n  } else {\n    var betas = this._getEndoRoots(this.p);\n    // Choose the smallest beta\n    beta = betas[0].cmp(betas[1]) < 0 ? betas[0] : betas[1];\n    beta = beta.toRed(this.red);\n  }\n  if (conf.lambda) {\n    lambda = new BN(conf.lambda, 16);\n  } else {\n    // Choose the lambda that is matching selected beta\n    var lambdas = this._getEndoRoots(this.n);\n    if (this.g.mul(lambdas[0]).x.cmp(this.g.x.redMul(beta)) === 0) {\n      lambda = lambdas[0];\n    } else {\n      lambda = lambdas[1];\n      assert(this.g.mul(lambda).x.cmp(this.g.x.redMul(beta)) === 0);\n    }\n  }\n\n  // Get basis vectors, used for balanced length-two representation\n  var basis;\n  if (conf.basis) {\n    basis = conf.basis.map(function(vec) {\n      return {\n        a: new BN(vec.a, 16),\n        b: new BN(vec.b, 16)\n      };\n    });\n  } else {\n    basis = this._getEndoBasis(lambda);\n  }\n\n  return {\n    beta: beta,\n    lambda: lambda,\n    basis: basis\n  };\n};\n\nShortCurve.prototype._getEndoRoots = function _getEndoRoots(num) {\n  // Find roots of for x^2 + x + 1 in F\n  // Root = (-1 +- Sqrt(-3)) / 2\n  //\n  var red = num === this.p ? this.red : BN.mont(num);\n  var tinv = new BN(2).toRed(red).redInvm();\n  var ntinv = tinv.redNeg();\n\n  var s = new BN(3).toRed(red).redNeg().redSqrt().redMul(tinv);\n\n  var l1 = ntinv.redAdd(s).fromRed();\n  var l2 = ntinv.redSub(s).fromRed();\n  return [ l1, l2 ];\n};\n\nShortCurve.prototype._getEndoBasis = function _getEndoBasis(lambda) {\n  // aprxSqrt >= sqrt(this.n)\n  var aprxSqrt = this.n.ushrn(Math.floor(this.n.bitLength() / 2));\n\n  // 3.74\n  // Run EGCD, until r(L + 1) < aprxSqrt\n  var u = lambda;\n  var v = this.n.clone();\n  var x1 = new BN(1);\n  var y1 = new BN(0);\n  var x2 = new BN(0);\n  var y2 = new BN(1);\n\n  // NOTE: all vectors are roots of: a + b * lambda = 0 (mod n)\n  var a0;\n  var b0;\n  // First vector\n  var a1;\n  var b1;\n  // Second vector\n  var a2;\n  var b2;\n\n  var prevR;\n  var i = 0;\n  var r;\n  var x;\n  while (u.cmpn(0) !== 0) {\n    var q = v.div(u);\n    r = v.sub(q.mul(u));\n    x = x2.sub(q.mul(x1));\n    var y = y2.sub(q.mul(y1));\n\n    if (!a1 && r.cmp(aprxSqrt) < 0) {\n      a0 = prevR.neg();\n      b0 = x1;\n      a1 = r.neg();\n      b1 = x;\n    } else if (a1 && ++i === 2) {\n      break;\n    }\n    prevR = r;\n\n    v = u;\n    u = r;\n    x2 = x1;\n    x1 = x;\n    y2 = y1;\n    y1 = y;\n  }\n  a2 = r.neg();\n  b2 = x;\n\n  var len1 = a1.sqr().add(b1.sqr());\n  var len2 = a2.sqr().add(b2.sqr());\n  if (len2.cmp(len1) >= 0) {\n    a2 = a0;\n    b2 = b0;\n  }\n\n  // Normalize signs\n  if (a1.negative) {\n    a1 = a1.neg();\n    b1 = b1.neg();\n  }\n  if (a2.negative) {\n    a2 = a2.neg();\n    b2 = b2.neg();\n  }\n\n  return [\n    { a: a1, b: b1 },\n    { a: a2, b: b2 }\n  ];\n};\n\nShortCurve.prototype._endoSplit = function _endoSplit(k) {\n  var basis = this.endo.basis;\n  var v1 = basis[0];\n  var v2 = basis[1];\n\n  var c1 = v2.b.mul(k).divRound(this.n);\n  var c2 = v1.b.neg().mul(k).divRound(this.n);\n\n  var p1 = c1.mul(v1.a);\n  var p2 = c2.mul(v2.a);\n  var q1 = c1.mul(v1.b);\n  var q2 = c2.mul(v2.b);\n\n  // Calculate answer\n  var k1 = k.sub(p1).sub(p2);\n  var k2 = q1.add(q2).neg();\n  return { k1: k1, k2: k2 };\n};\n\nShortCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var y2 = x.redSqr().redMul(x).redIAdd(x.redMul(this.a)).redIAdd(this.b);\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  // XXX Is there any way to tell if the number is odd without converting it\n  // to non-red form?\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nShortCurve.prototype.validate = function validate(point) {\n  if (point.inf)\n    return true;\n\n  var x = point.x;\n  var y = point.y;\n\n  var ax = this.a.redMul(x);\n  var rhs = x.redSqr().redMul(x).redIAdd(ax).redIAdd(this.b);\n  return y.redSqr().redISub(rhs).cmpn(0) === 0;\n};\n\nShortCurve.prototype._endoWnafMulAdd =\n    function _endoWnafMulAdd(points, coeffs, jacobianResult) {\n  var npoints = this._endoWnafT1;\n  var ncoeffs = this._endoWnafT2;\n  for (var i = 0; i < points.length; i++) {\n    var split = this._endoSplit(coeffs[i]);\n    var p = points[i];\n    var beta = p._getBeta();\n\n    if (split.k1.negative) {\n      split.k1.ineg();\n      p = p.neg(true);\n    }\n    if (split.k2.negative) {\n      split.k2.ineg();\n      beta = beta.neg(true);\n    }\n\n    npoints[i * 2] = p;\n    npoints[i * 2 + 1] = beta;\n    ncoeffs[i * 2] = split.k1;\n    ncoeffs[i * 2 + 1] = split.k2;\n  }\n  var res = this._wnafMulAdd(1, npoints, ncoeffs, i * 2, jacobianResult);\n\n  // Clean-up references to points and coefficients\n  for (var j = 0; j < i * 2; j++) {\n    npoints[j] = null;\n    ncoeffs[j] = null;\n  }\n  return res;\n};\n\nfunction Point(curve, x, y, isRed) {\n  Base.BasePoint.call(this, curve, 'affine');\n  if (x === null && y === null) {\n    this.x = null;\n    this.y = null;\n    this.inf = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    // Force redgomery representation when loading from JSON\n    if (isRed) {\n      this.x.forceRed(this.curve.red);\n      this.y.forceRed(this.curve.red);\n    }\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    this.inf = false;\n  }\n}\ninherits(Point, Base.BasePoint);\n\nShortCurve.prototype.point = function point(x, y, isRed) {\n  return new Point(this, x, y, isRed);\n};\n\nShortCurve.prototype.pointFromJSON = function pointFromJSON(obj, red) {\n  return Point.fromJSON(this, obj, red);\n};\n\nPoint.prototype._getBeta = function _getBeta() {\n  if (!this.curve.endo)\n    return;\n\n  var pre = this.precomputed;\n  if (pre && pre.beta)\n    return pre.beta;\n\n  var beta = this.curve.point(this.x.redMul(this.curve.endo.beta), this.y);\n  if (pre) {\n    var curve = this.curve;\n    var endoMul = function(p) {\n      return curve.point(p.x.redMul(curve.endo.beta), p.y);\n    };\n    pre.beta = beta;\n    beta.precomputed = {\n      beta: null,\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(endoMul)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(endoMul)\n      }\n    };\n  }\n  return beta;\n};\n\nPoint.prototype.toJSON = function toJSON() {\n  if (!this.precomputed)\n    return [ this.x, this.y ];\n\n  return [ this.x, this.y, this.precomputed && {\n    doubles: this.precomputed.doubles && {\n      step: this.precomputed.doubles.step,\n      points: this.precomputed.doubles.points.slice(1)\n    },\n    naf: this.precomputed.naf && {\n      wnd: this.precomputed.naf.wnd,\n      points: this.precomputed.naf.points.slice(1)\n    }\n  } ];\n};\n\nPoint.fromJSON = function fromJSON(curve, obj, red) {\n  if (typeof obj === 'string')\n    obj = JSON.parse(obj);\n  var res = curve.point(obj[0], obj[1], red);\n  if (!obj[2])\n    return res;\n\n  function obj2point(obj) {\n    return curve.point(obj[0], obj[1], red);\n  }\n\n  var pre = obj[2];\n  res.precomputed = {\n    beta: null,\n    doubles: pre.doubles && {\n      step: pre.doubles.step,\n      points: [ res ].concat(pre.doubles.points.map(obj2point))\n    },\n    naf: pre.naf && {\n      wnd: pre.naf.wnd,\n      points: [ res ].concat(pre.naf.points.map(obj2point))\n    }\n  };\n  return res;\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  return this.inf;\n};\n\nPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.inf)\n    return p;\n\n  // P + O = P\n  if (p.inf)\n    return this;\n\n  // P + P = 2P\n  if (this.eq(p))\n    return this.dbl();\n\n  // P + (-P) = O\n  if (this.neg().eq(p))\n    return this.curve.point(null, null);\n\n  // P + Q = O\n  if (this.x.cmp(p.x) === 0)\n    return this.curve.point(null, null);\n\n  var c = this.y.redSub(p.y);\n  if (c.cmpn(0) !== 0)\n    c = c.redMul(this.x.redSub(p.x).redInvm());\n  var nx = c.redSqr().redISub(this.x).redISub(p.x);\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.inf)\n    return this;\n\n  // 2P = O\n  var ys1 = this.y.redAdd(this.y);\n  if (ys1.cmpn(0) === 0)\n    return this.curve.point(null, null);\n\n  var a = this.curve.a;\n\n  var x2 = this.x.redSqr();\n  var dyinv = ys1.redInvm();\n  var c = x2.redAdd(x2).redIAdd(x2).redIAdd(a).redMul(dyinv);\n\n  var nx = c.redSqr().redISub(this.x.redAdd(this.x));\n  var ny = c.redMul(this.x.redSub(nx)).redISub(this.y);\n  return this.curve.point(nx, ny);\n};\n\nPoint.prototype.getX = function getX() {\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  return this.y.fromRed();\n};\n\nPoint.prototype.mul = function mul(k) {\n  k = new BN(k, 16);\n\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else if (this.curve.endo)\n    return this.curve._endoWnafMulAdd([ this ], [ k ]);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p2, k2) {\n  var points = [ this, p2 ];\n  var coeffs = [ k1, k2 ];\n  if (this.curve.endo)\n    return this.curve._endoWnafMulAdd(points, coeffs, true);\n  else\n    return this.curve._wnafMulAdd(1, points, coeffs, 2, true);\n};\n\nPoint.prototype.eq = function eq(p) {\n  return this === p ||\n         this.inf === p.inf &&\n             (this.inf || this.x.cmp(p.x) === 0 && this.y.cmp(p.y) === 0);\n};\n\nPoint.prototype.neg = function neg(_precompute) {\n  if (this.inf)\n    return this;\n\n  var res = this.curve.point(this.x, this.y.redNeg());\n  if (_precompute && this.precomputed) {\n    var pre = this.precomputed;\n    var negate = function(p) {\n      return p.neg();\n    };\n    res.precomputed = {\n      naf: pre.naf && {\n        wnd: pre.naf.wnd,\n        points: pre.naf.points.map(negate)\n      },\n      doubles: pre.doubles && {\n        step: pre.doubles.step,\n        points: pre.doubles.points.map(negate)\n      }\n    };\n  }\n  return res;\n};\n\nPoint.prototype.toJ = function toJ() {\n  if (this.inf)\n    return this.curve.jpoint(null, null, null);\n\n  var res = this.curve.jpoint(this.x, this.y, this.curve.one);\n  return res;\n};\n\nfunction JPoint(curve, x, y, z) {\n  Base.BasePoint.call(this, curve, 'jacobian');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.one;\n    this.y = this.curve.one;\n    this.z = new BN(0);\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = new BN(z, 16);\n  }\n  if (!this.x.red)\n    this.x = this.x.toRed(this.curve.red);\n  if (!this.y.red)\n    this.y = this.y.toRed(this.curve.red);\n  if (!this.z.red)\n    this.z = this.z.toRed(this.curve.red);\n\n  this.zOne = this.z === this.curve.one;\n}\ninherits(JPoint, Base.BasePoint);\n\nShortCurve.prototype.jpoint = function jpoint(x, y, z) {\n  return new JPoint(this, x, y, z);\n};\n\nJPoint.prototype.toP = function toP() {\n  if (this.isInfinity())\n    return this.curve.point(null, null);\n\n  var zinv = this.z.redInvm();\n  var zinv2 = zinv.redSqr();\n  var ax = this.x.redMul(zinv2);\n  var ay = this.y.redMul(zinv2).redMul(zinv);\n\n  return this.curve.point(ax, ay);\n};\n\nJPoint.prototype.neg = function neg() {\n  return this.curve.jpoint(this.x, this.y.redNeg(), this.z);\n};\n\nJPoint.prototype.add = function add(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p;\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 12M + 4S + 7A\n  var pz2 = p.z.redSqr();\n  var z2 = this.z.redSqr();\n  var u1 = this.x.redMul(pz2);\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y.redMul(pz2.redMul(p.z));\n  var s2 = p.y.redMul(z2.redMul(this.z));\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(p.z).redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mixedAdd = function mixedAdd(p) {\n  // O + P = P\n  if (this.isInfinity())\n    return p.toJ();\n\n  // P + O = P\n  if (p.isInfinity())\n    return this;\n\n  // 8M + 3S + 7A\n  var z2 = this.z.redSqr();\n  var u1 = this.x;\n  var u2 = p.x.redMul(z2);\n  var s1 = this.y;\n  var s2 = p.y.redMul(z2).redMul(this.z);\n\n  var h = u1.redSub(u2);\n  var r = s1.redSub(s2);\n  if (h.cmpn(0) === 0) {\n    if (r.cmpn(0) !== 0)\n      return this.curve.jpoint(null, null, null);\n    else\n      return this.dbl();\n  }\n\n  var h2 = h.redSqr();\n  var h3 = h2.redMul(h);\n  var v = u1.redMul(h2);\n\n  var nx = r.redSqr().redIAdd(h3).redISub(v).redISub(v);\n  var ny = r.redMul(v.redISub(nx)).redISub(s1.redMul(h3));\n  var nz = this.z.redMul(h);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.dblp = function dblp(pow) {\n  if (pow === 0)\n    return this;\n  if (this.isInfinity())\n    return this;\n  if (!pow)\n    return this.dbl();\n\n  if (this.curve.zeroA || this.curve.threeA) {\n    var r = this;\n    for (var i = 0; i < pow; i++)\n      r = r.dbl();\n    return r;\n  }\n\n  // 1M + 2S + 1A + N * (4S + 5M + 8A)\n  // N = 1 => 6M + 6S + 9A\n  var a = this.curve.a;\n  var tinv = this.curve.tinv;\n\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  // Reuse results\n  var jyd = jy.redAdd(jy);\n  for (var i = 0; i < pow; i++) {\n    var jx2 = jx.redSqr();\n    var jyd2 = jyd.redSqr();\n    var jyd4 = jyd2.redSqr();\n    var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n    var t1 = jx.redMul(jyd2);\n    var nx = c.redSqr().redISub(t1.redAdd(t1));\n    var t2 = t1.redISub(nx);\n    var dny = c.redMul(t2);\n    dny = dny.redIAdd(dny).redISub(jyd4);\n    var nz = jyd.redMul(jz);\n    if (i + 1 < pow)\n      jz4 = jz4.redMul(jyd4);\n\n    jx = nx;\n    jz = nz;\n    jyd = dny;\n  }\n\n  return this.curve.jpoint(jx, jyd.redMul(tinv), jz);\n};\n\nJPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  if (this.curve.zeroA)\n    return this._zeroDbl();\n  else if (this.curve.threeA)\n    return this._threeDbl();\n  else\n    return this._dbl();\n};\n\nJPoint.prototype._zeroDbl = function _zeroDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 14A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a; a = 0\n    var m = xx.redAdd(xx).redIAdd(xx);\n    // T = M ^ 2 - 2*S\n    var t = m.redSqr().redISub(s).redISub(s);\n\n    // 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2*Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html\n    //     #doubling-dbl-2009-l\n    // 2M + 5S + 13A\n\n    // A = X1^2\n    var a = this.x.redSqr();\n    // B = Y1^2\n    var b = this.y.redSqr();\n    // C = B^2\n    var c = b.redSqr();\n    // D = 2 * ((X1 + B)^2 - A - C)\n    var d = this.x.redAdd(b).redSqr().redISub(a).redISub(c);\n    d = d.redIAdd(d);\n    // E = 3 * A\n    var e = a.redAdd(a).redIAdd(a);\n    // F = E^2\n    var f = e.redSqr();\n\n    // 8 * C\n    var c8 = c.redIAdd(c);\n    c8 = c8.redIAdd(c8);\n    c8 = c8.redIAdd(c8);\n\n    // X3 = F - 2 * D\n    nx = f.redISub(d).redISub(d);\n    // Y3 = E * (D - X3) - 8 * C\n    ny = e.redMul(d.redISub(nx)).redISub(c8);\n    // Z3 = 2 * Y1 * Z1\n    nz = this.y.redMul(this.z);\n    nz = nz.redIAdd(nz);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._threeDbl = function _threeDbl() {\n  var nx;\n  var ny;\n  var nz;\n  // Z = 1\n  if (this.zOne) {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html\n    //     #doubling-mdbl-2007-bl\n    // 1M + 5S + 15A\n\n    // XX = X1^2\n    var xx = this.x.redSqr();\n    // YY = Y1^2\n    var yy = this.y.redSqr();\n    // YYYY = YY^2\n    var yyyy = yy.redSqr();\n    // S = 2 * ((X1 + YY)^2 - XX - YYYY)\n    var s = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n    s = s.redIAdd(s);\n    // M = 3 * XX + a\n    var m = xx.redAdd(xx).redIAdd(xx).redIAdd(this.curve.a);\n    // T = M^2 - 2 * S\n    var t = m.redSqr().redISub(s).redISub(s);\n    // X3 = T\n    nx = t;\n    // Y3 = M * (S - T) - 8 * YYYY\n    var yyyy8 = yyyy.redIAdd(yyyy);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    yyyy8 = yyyy8.redIAdd(yyyy8);\n    ny = m.redMul(s.redISub(t)).redISub(yyyy8);\n    // Z3 = 2 * Y1\n    nz = this.y.redAdd(this.y);\n  } else {\n    // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-3.html#doubling-dbl-2001-b\n    // 3M + 5S\n\n    // delta = Z1^2\n    var delta = this.z.redSqr();\n    // gamma = Y1^2\n    var gamma = this.y.redSqr();\n    // beta = X1 * gamma\n    var beta = this.x.redMul(gamma);\n    // alpha = 3 * (X1 - delta) * (X1 + delta)\n    var alpha = this.x.redSub(delta).redMul(this.x.redAdd(delta));\n    alpha = alpha.redAdd(alpha).redIAdd(alpha);\n    // X3 = alpha^2 - 8 * beta\n    var beta4 = beta.redIAdd(beta);\n    beta4 = beta4.redIAdd(beta4);\n    var beta8 = beta4.redAdd(beta4);\n    nx = alpha.redSqr().redISub(beta8);\n    // Z3 = (Y1 + Z1)^2 - gamma - delta\n    nz = this.y.redAdd(this.z).redSqr().redISub(gamma).redISub(delta);\n    // Y3 = alpha * (4 * beta - X3) - 8 * gamma^2\n    var ggamma8 = gamma.redSqr();\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ggamma8 = ggamma8.redIAdd(ggamma8);\n    ny = alpha.redMul(beta4.redISub(nx)).redISub(ggamma8);\n  }\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype._dbl = function _dbl() {\n  var a = this.curve.a;\n\n  // 4M + 6S + 10A\n  var jx = this.x;\n  var jy = this.y;\n  var jz = this.z;\n  var jz4 = jz.redSqr().redSqr();\n\n  var jx2 = jx.redSqr();\n  var jy2 = jy.redSqr();\n\n  var c = jx2.redAdd(jx2).redIAdd(jx2).redIAdd(a.redMul(jz4));\n\n  var jxd4 = jx.redAdd(jx);\n  jxd4 = jxd4.redIAdd(jxd4);\n  var t1 = jxd4.redMul(jy2);\n  var nx = c.redSqr().redISub(t1.redAdd(t1));\n  var t2 = t1.redISub(nx);\n\n  var jyd8 = jy2.redSqr();\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  jyd8 = jyd8.redIAdd(jyd8);\n  var ny = c.redMul(t2).redISub(jyd8);\n  var nz = jy.redAdd(jy).redMul(jz);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.trpl = function trpl() {\n  if (!this.curve.zeroA)\n    return this.dbl().add(this);\n\n  // hyperelliptic.org/EFD/g1p/auto-shortw-jacobian-0.html#tripling-tpl-2007-bl\n  // 5M + 10S + ...\n\n  // XX = X1^2\n  var xx = this.x.redSqr();\n  // YY = Y1^2\n  var yy = this.y.redSqr();\n  // ZZ = Z1^2\n  var zz = this.z.redSqr();\n  // YYYY = YY^2\n  var yyyy = yy.redSqr();\n  // M = 3 * XX + a * ZZ2; a = 0\n  var m = xx.redAdd(xx).redIAdd(xx);\n  // MM = M^2\n  var mm = m.redSqr();\n  // E = 6 * ((X1 + YY)^2 - XX - YYYY) - MM\n  var e = this.x.redAdd(yy).redSqr().redISub(xx).redISub(yyyy);\n  e = e.redIAdd(e);\n  e = e.redAdd(e).redIAdd(e);\n  e = e.redISub(mm);\n  // EE = E^2\n  var ee = e.redSqr();\n  // T = 16*YYYY\n  var t = yyyy.redIAdd(yyyy);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  t = t.redIAdd(t);\n  // U = (M + E)^2 - MM - EE - T\n  var u = m.redIAdd(e).redSqr().redISub(mm).redISub(ee).redISub(t);\n  // X3 = 4 * (X1 * EE - 4 * YY * U)\n  var yyu4 = yy.redMul(u);\n  yyu4 = yyu4.redIAdd(yyu4);\n  yyu4 = yyu4.redIAdd(yyu4);\n  var nx = this.x.redMul(ee).redISub(yyu4);\n  nx = nx.redIAdd(nx);\n  nx = nx.redIAdd(nx);\n  // Y3 = 8 * Y1 * (U * (T - U) - E * EE)\n  var ny = this.y.redMul(u.redMul(t.redISub(u)).redISub(e.redMul(ee)));\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  ny = ny.redIAdd(ny);\n  // Z3 = (Z1 + E)^2 - ZZ - EE\n  var nz = this.z.redAdd(e).redSqr().redISub(zz).redISub(ee);\n\n  return this.curve.jpoint(nx, ny, nz);\n};\n\nJPoint.prototype.mul = function mul(k, kbase) {\n  k = new BN(k, kbase);\n\n  return this.curve._wnafMul(this, k);\n};\n\nJPoint.prototype.eq = function eq(p) {\n  if (p.type === 'affine')\n    return this.eq(p.toJ());\n\n  if (this === p)\n    return true;\n\n  // x1 * z2^2 == x2 * z1^2\n  var z2 = this.z.redSqr();\n  var pz2 = p.z.redSqr();\n  if (this.x.redMul(pz2).redISub(p.x.redMul(z2)).cmpn(0) !== 0)\n    return false;\n\n  // y1 * z2^3 == y2 * z1^3\n  var z3 = z2.redMul(this.z);\n  var pz3 = pz2.redMul(p.z);\n  return this.y.redMul(pz3).redISub(p.y.redMul(z3)).cmpn(0) === 0;\n};\n\nJPoint.prototype.eqXToP = function eqXToP(x) {\n  var zs = this.z.redSqr();\n  var rx = x.toRed(this.curve.red).redMul(zs);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(zs);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n  return false;\n};\n\nJPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC JPoint Infinity>';\n  return '<EC JPoint x: ' + this.x.toString(16, 2) +\n      ' y: ' + this.y.toString(16, 2) +\n      ' z: ' + this.z.toString(16, 2) + '>';\n};\n\nJPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n","'use strict';\n\nvar curve = require('../curve');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\n\nfunction MontCurve(conf) {\n  Base.call(this, 'mont', conf);\n\n  this.a = new BN(conf.a, 16).toRed(this.red);\n  this.b = new BN(conf.b, 16).toRed(this.red);\n  this.i4 = new BN(4).toRed(this.red).redInvm();\n  this.two = new BN(2).toRed(this.red);\n  this.a24 = this.i4.redMul(this.a.redAdd(this.two));\n}\ninherits(MontCurve, Base);\nmodule.exports = MontCurve;\n\nMontCurve.prototype.validate = function validate(point) {\n  var x = point.normalize().x;\n  var x2 = x.redSqr();\n  var rhs = x2.redMul(x).redAdd(x2.redMul(this.a)).redAdd(x);\n  var y = rhs.redSqrt();\n\n  return y.redSqr().cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, z) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && z === null) {\n    this.x = this.curve.one;\n    this.z = this.curve.zero;\n  } else {\n    this.x = new BN(x, 16);\n    this.z = new BN(z, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n  }\n}\ninherits(Point, Base.BasePoint);\n\nMontCurve.prototype.decodePoint = function decodePoint(bytes, enc) {\n  return this.point(utils.toArray(bytes, enc), 1);\n};\n\nMontCurve.prototype.point = function point(x, z) {\n  return new Point(this, x, z);\n};\n\nMontCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nPoint.prototype.precompute = function precompute() {\n  // No-op\n};\n\nPoint.prototype._encode = function _encode() {\n  return this.getX().toArray('be', this.curve.p.byteLength());\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1] || curve.one);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.z.cmpn(0) === 0;\n};\n\nPoint.prototype.dbl = function dbl() {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#doubling-dbl-1987-m-3\n  // 2M + 2S + 4A\n\n  // A = X1 + Z1\n  var a = this.x.redAdd(this.z);\n  // AA = A^2\n  var aa = a.redSqr();\n  // B = X1 - Z1\n  var b = this.x.redSub(this.z);\n  // BB = B^2\n  var bb = b.redSqr();\n  // C = AA - BB\n  var c = aa.redSub(bb);\n  // X3 = AA * BB\n  var nx = aa.redMul(bb);\n  // Z3 = C * (BB + A24 * C)\n  var nz = c.redMul(bb.redAdd(this.curve.a24.redMul(c)));\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.add = function add() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.diffAdd = function diffAdd(p, diff) {\n  // http://hyperelliptic.org/EFD/g1p/auto-montgom-xz.html#diffadd-dadd-1987-m-3\n  // 4M + 2S + 6A\n\n  // A = X2 + Z2\n  var a = this.x.redAdd(this.z);\n  // B = X2 - Z2\n  var b = this.x.redSub(this.z);\n  // C = X3 + Z3\n  var c = p.x.redAdd(p.z);\n  // D = X3 - Z3\n  var d = p.x.redSub(p.z);\n  // DA = D * A\n  var da = d.redMul(a);\n  // CB = C * B\n  var cb = c.redMul(b);\n  // X5 = Z1 * (DA + CB)^2\n  var nx = diff.z.redMul(da.redAdd(cb).redSqr());\n  // Z5 = X1 * (DA - CB)^2\n  var nz = diff.x.redMul(da.redISub(cb).redSqr());\n  return this.curve.point(nx, nz);\n};\n\nPoint.prototype.mul = function mul(k) {\n  var t = k.clone();\n  var a = this; // (N / 2) * Q + Q\n  var b = this.curve.point(null, null); // (N / 2) * Q\n  var c = this; // Q\n\n  for (var bits = []; t.cmpn(0) !== 0; t.iushrn(1))\n    bits.push(t.andln(1));\n\n  for (var i = bits.length - 1; i >= 0; i--) {\n    if (bits[i] === 0) {\n      // N * Q + Q = ((N / 2) * Q + Q)) + (N / 2) * Q\n      a = a.diffAdd(b, c);\n      // N * Q = 2 * ((N / 2) * Q + Q))\n      b = b.dbl();\n    } else {\n      // N * Q = ((N / 2) * Q + Q) + ((N / 2) * Q)\n      b = a.diffAdd(b, c);\n      // N * Q + Q = 2 * ((N / 2) * Q + Q)\n      a = a.dbl();\n    }\n  }\n  return b;\n};\n\nPoint.prototype.mulAdd = function mulAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.jumlAdd = function jumlAdd() {\n  throw new Error('Not supported on Montgomery curve');\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this.getX().cmp(other.getX()) === 0;\n};\n\nPoint.prototype.normalize = function normalize() {\n  this.x = this.x.redMul(this.z.redInvm());\n  this.z = this.curve.one;\n  return this;\n};\n\nPoint.prototype.getX = function getX() {\n  // Normalize coordinates\n  this.normalize();\n\n  return this.x.fromRed();\n};\n","'use strict';\n\nvar curve = require('../curve');\nvar elliptic = require('../../elliptic');\nvar BN = require('bn.js');\nvar inherits = require('inherits');\nvar Base = curve.base;\n\nvar assert = elliptic.utils.assert;\n\nfunction EdwardsCurve(conf) {\n  // NOTE: Important as we are creating point in Base.call()\n  this.twisted = (conf.a | 0) !== 1;\n  this.mOneA = this.twisted && (conf.a | 0) === -1;\n  this.extended = this.mOneA;\n\n  Base.call(this, 'edwards', conf);\n\n  this.a = new BN(conf.a, 16).umod(this.red.m);\n  this.a = this.a.toRed(this.red);\n  this.c = new BN(conf.c, 16).toRed(this.red);\n  this.c2 = this.c.redSqr();\n  this.d = new BN(conf.d, 16).toRed(this.red);\n  this.dd = this.d.redAdd(this.d);\n\n  assert(!this.twisted || this.c.fromRed().cmpn(1) === 0);\n  this.oneC = (conf.c | 0) === 1;\n}\ninherits(EdwardsCurve, Base);\nmodule.exports = EdwardsCurve;\n\nEdwardsCurve.prototype._mulA = function _mulA(num) {\n  if (this.mOneA)\n    return num.redNeg();\n  else\n    return this.a.redMul(num);\n};\n\nEdwardsCurve.prototype._mulC = function _mulC(num) {\n  if (this.oneC)\n    return num;\n  else\n    return this.c.redMul(num);\n};\n\n// Just for compatibility with Short curve\nEdwardsCurve.prototype.jpoint = function jpoint(x, y, z, t) {\n  return this.point(x, y, z, t);\n};\n\nEdwardsCurve.prototype.pointFromX = function pointFromX(x, odd) {\n  x = new BN(x, 16);\n  if (!x.red)\n    x = x.toRed(this.red);\n\n  var x2 = x.redSqr();\n  var rhs = this.c2.redSub(this.a.redMul(x2));\n  var lhs = this.one.redSub(this.c2.redMul(this.d).redMul(x2));\n\n  var y2 = rhs.redMul(lhs.redInvm());\n  var y = y2.redSqrt();\n  if (y.redSqr().redSub(y2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  var isOdd = y.fromRed().isOdd();\n  if (odd && !isOdd || !odd && isOdd)\n    y = y.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.pointFromY = function pointFromY(y, odd) {\n  y = new BN(y, 16);\n  if (!y.red)\n    y = y.toRed(this.red);\n\n  // x^2 = (y^2 - 1) / (d y^2 + 1)\n  var y2 = y.redSqr();\n  var lhs = y2.redSub(this.one);\n  var rhs = y2.redMul(this.d).redAdd(this.one);\n  var x2 = lhs.redMul(rhs.redInvm());\n\n  if (x2.cmp(this.zero) === 0) {\n    if (odd)\n      throw new Error('invalid point');\n    else\n      return this.point(this.zero, y);\n  }\n\n  var x = x2.redSqrt();\n  if (x.redSqr().redSub(x2).cmp(this.zero) !== 0)\n    throw new Error('invalid point');\n\n  if (x.isOdd() !== odd)\n    x = x.redNeg();\n\n  return this.point(x, y);\n};\n\nEdwardsCurve.prototype.validate = function validate(point) {\n  if (point.isInfinity())\n    return true;\n\n  // Curve: A * X^2 + Y^2 = C^2 * (1 + D * X^2 * Y^2)\n  point.normalize();\n\n  var x2 = point.x.redSqr();\n  var y2 = point.y.redSqr();\n  var lhs = x2.redMul(this.a).redAdd(y2);\n  var rhs = this.c2.redMul(this.one.redAdd(this.d.redMul(x2).redMul(y2)));\n\n  return lhs.cmp(rhs) === 0;\n};\n\nfunction Point(curve, x, y, z, t) {\n  Base.BasePoint.call(this, curve, 'projective');\n  if (x === null && y === null && z === null) {\n    this.x = this.curve.zero;\n    this.y = this.curve.one;\n    this.z = this.curve.one;\n    this.t = this.curve.zero;\n    this.zOne = true;\n  } else {\n    this.x = new BN(x, 16);\n    this.y = new BN(y, 16);\n    this.z = z ? new BN(z, 16) : this.curve.one;\n    this.t = t && new BN(t, 16);\n    if (!this.x.red)\n      this.x = this.x.toRed(this.curve.red);\n    if (!this.y.red)\n      this.y = this.y.toRed(this.curve.red);\n    if (!this.z.red)\n      this.z = this.z.toRed(this.curve.red);\n    if (this.t && !this.t.red)\n      this.t = this.t.toRed(this.curve.red);\n    this.zOne = this.z === this.curve.one;\n\n    // Use extended coordinates\n    if (this.curve.extended && !this.t) {\n      this.t = this.x.redMul(this.y);\n      if (!this.zOne)\n        this.t = this.t.redMul(this.z.redInvm());\n    }\n  }\n}\ninherits(Point, Base.BasePoint);\n\nEdwardsCurve.prototype.pointFromJSON = function pointFromJSON(obj) {\n  return Point.fromJSON(this, obj);\n};\n\nEdwardsCurve.prototype.point = function point(x, y, z, t) {\n  return new Point(this, x, y, z, t);\n};\n\nPoint.fromJSON = function fromJSON(curve, obj) {\n  return new Point(curve, obj[0], obj[1], obj[2]);\n};\n\nPoint.prototype.inspect = function inspect() {\n  if (this.isInfinity())\n    return '<EC Point Infinity>';\n  return '<EC Point x: ' + this.x.fromRed().toString(16, 2) +\n      ' y: ' + this.y.fromRed().toString(16, 2) +\n      ' z: ' + this.z.fromRed().toString(16, 2) + '>';\n};\n\nPoint.prototype.isInfinity = function isInfinity() {\n  // XXX This code assumes that zero is always zero in red\n  return this.x.cmpn(0) === 0 &&\n         this.y.cmp(this.z) === 0;\n};\n\nPoint.prototype._extDbl = function _extDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #doubling-dbl-2008-hwcd\n  // 4M + 4S\n\n  // A = X1^2\n  var a = this.x.redSqr();\n  // B = Y1^2\n  var b = this.y.redSqr();\n  // C = 2 * Z1^2\n  var c = this.z.redSqr();\n  c = c.redIAdd(c);\n  // D = a * A\n  var d = this.curve._mulA(a);\n  // E = (X1 + Y1)^2 - A - B\n  var e = this.x.redAdd(this.y).redSqr().redISub(a).redISub(b);\n  // G = D + B\n  var g = d.redAdd(b);\n  // F = G - C\n  var f = g.redSub(c);\n  // H = D - B\n  var h = d.redSub(b);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projDbl = function _projDbl() {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #doubling-dbl-2008-bbjlp\n  //     #doubling-dbl-2007-bl\n  // and others\n  // Generally 3M + 4S or 2M + 4S\n\n  // B = (X1 + Y1)^2\n  var b = this.x.redAdd(this.y).redSqr();\n  // C = X1^2\n  var c = this.x.redSqr();\n  // D = Y1^2\n  var d = this.y.redSqr();\n\n  var nx;\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // E = a * C\n    var e = this.curve._mulA(c);\n    // F = E + D\n    var f = e.redAdd(d);\n    if (this.zOne) {\n      // X3 = (B - C - D) * (F - 2)\n      nx = b.redSub(c).redSub(d).redMul(f.redSub(this.curve.two));\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F^2 - 2 * F\n      nz = f.redSqr().redSub(f).redSub(f);\n    } else {\n      // H = Z1^2\n      var h = this.z.redSqr();\n      // J = F - 2 * H\n      var j = f.redSub(h).redISub(h);\n      // X3 = (B-C-D)*J\n      nx = b.redSub(c).redISub(d).redMul(j);\n      // Y3 = F * (E - D)\n      ny = f.redMul(e.redSub(d));\n      // Z3 = F * J\n      nz = f.redMul(j);\n    }\n  } else {\n    // E = C + D\n    var e = c.redAdd(d);\n    // H = (c * Z1)^2\n    var h = this.curve._mulC(this.c.redMul(this.z)).redSqr();\n    // J = E - 2 * H\n    var j = e.redSub(h).redSub(h);\n    // X3 = c * (B - E) * J\n    nx = this.curve._mulC(b.redISub(e)).redMul(j);\n    // Y3 = c * E * (C - D)\n    ny = this.curve._mulC(e).redMul(c.redISub(d));\n    // Z3 = E * J\n    nz = e.redMul(j);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.dbl = function dbl() {\n  if (this.isInfinity())\n    return this;\n\n  // Double in extended coordinates\n  if (this.curve.extended)\n    return this._extDbl();\n  else\n    return this._projDbl();\n};\n\nPoint.prototype._extAdd = function _extAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-extended-1.html\n  //     #addition-add-2008-hwcd-3\n  // 8M\n\n  // A = (Y1 - X1) * (Y2 - X2)\n  var a = this.y.redSub(this.x).redMul(p.y.redSub(p.x));\n  // B = (Y1 + X1) * (Y2 + X2)\n  var b = this.y.redAdd(this.x).redMul(p.y.redAdd(p.x));\n  // C = T1 * k * T2\n  var c = this.t.redMul(this.curve.dd).redMul(p.t);\n  // D = Z1 * 2 * Z2\n  var d = this.z.redMul(p.z.redAdd(p.z));\n  // E = B - A\n  var e = b.redSub(a);\n  // F = D - C\n  var f = d.redSub(c);\n  // G = D + C\n  var g = d.redAdd(c);\n  // H = B + A\n  var h = b.redAdd(a);\n  // X3 = E * F\n  var nx = e.redMul(f);\n  // Y3 = G * H\n  var ny = g.redMul(h);\n  // T3 = E * H\n  var nt = e.redMul(h);\n  // Z3 = F * G\n  var nz = f.redMul(g);\n  return this.curve.point(nx, ny, nz, nt);\n};\n\nPoint.prototype._projAdd = function _projAdd(p) {\n  // hyperelliptic.org/EFD/g1p/auto-twisted-projective.html\n  //     #addition-add-2008-bbjlp\n  //     #addition-add-2007-bl\n  // 10M + 1S\n\n  // A = Z1 * Z2\n  var a = this.z.redMul(p.z);\n  // B = A^2\n  var b = a.redSqr();\n  // C = X1 * X2\n  var c = this.x.redMul(p.x);\n  // D = Y1 * Y2\n  var d = this.y.redMul(p.y);\n  // E = d * C * D\n  var e = this.curve.d.redMul(c).redMul(d);\n  // F = B - E\n  var f = b.redSub(e);\n  // G = B + E\n  var g = b.redAdd(e);\n  // X3 = A * F * ((X1 + Y1) * (X2 + Y2) - C - D)\n  var tmp = this.x.redAdd(this.y).redMul(p.x.redAdd(p.y)).redISub(c).redISub(d);\n  var nx = a.redMul(f).redMul(tmp);\n  var ny;\n  var nz;\n  if (this.curve.twisted) {\n    // Y3 = A * G * (D - a * C)\n    ny = a.redMul(g).redMul(d.redSub(this.curve._mulA(c)));\n    // Z3 = F * G\n    nz = f.redMul(g);\n  } else {\n    // Y3 = A * G * (D - C)\n    ny = a.redMul(g).redMul(d.redSub(c));\n    // Z3 = c * F * G\n    nz = this.curve._mulC(f).redMul(g);\n  }\n  return this.curve.point(nx, ny, nz);\n};\n\nPoint.prototype.add = function add(p) {\n  if (this.isInfinity())\n    return p;\n  if (p.isInfinity())\n    return this;\n\n  if (this.curve.extended)\n    return this._extAdd(p);\n  else\n    return this._projAdd(p);\n};\n\nPoint.prototype.mul = function mul(k) {\n  if (this._hasDoubles(k))\n    return this.curve._fixedNafMul(this, k);\n  else\n    return this.curve._wnafMul(this, k);\n};\n\nPoint.prototype.mulAdd = function mulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, false);\n};\n\nPoint.prototype.jmulAdd = function jmulAdd(k1, p, k2) {\n  return this.curve._wnafMulAdd(1, [ this, p ], [ k1, k2 ], 2, true);\n};\n\nPoint.prototype.normalize = function normalize() {\n  if (this.zOne)\n    return this;\n\n  // Normalize coordinates\n  var zi = this.z.redInvm();\n  this.x = this.x.redMul(zi);\n  this.y = this.y.redMul(zi);\n  if (this.t)\n    this.t = this.t.redMul(zi);\n  this.z = this.curve.one;\n  this.zOne = true;\n  return this;\n};\n\nPoint.prototype.neg = function neg() {\n  return this.curve.point(this.x.redNeg(),\n                          this.y,\n                          this.z,\n                          this.t && this.t.redNeg());\n};\n\nPoint.prototype.getX = function getX() {\n  this.normalize();\n  return this.x.fromRed();\n};\n\nPoint.prototype.getY = function getY() {\n  this.normalize();\n  return this.y.fromRed();\n};\n\nPoint.prototype.eq = function eq(other) {\n  return this === other ||\n         this.getX().cmp(other.getX()) === 0 &&\n         this.getY().cmp(other.getY()) === 0;\n};\n\nPoint.prototype.eqXToP = function eqXToP(x) {\n  var rx = x.toRed(this.curve.red).redMul(this.z);\n  if (this.x.cmp(rx) === 0)\n    return true;\n\n  var xc = x.clone();\n  var t = this.curve.redN.redMul(this.z);\n  for (;;) {\n    xc.iadd(this.curve.n);\n    if (xc.cmp(this.curve.p) >= 0)\n      return false;\n\n    rx.redIAdd(t);\n    if (this.x.cmp(rx) === 0)\n      return true;\n  }\n  return false;\n};\n\n// Compatibility with BaseCurve\nPoint.prototype.toP = Point.prototype.normalize;\nPoint.prototype.mixedAdd = Point.prototype.add;\n","'use strict';\n\nvar curve = exports;\n\ncurve.base = require('./base');\ncurve.short = require('./short');\ncurve.mont = require('./mont');\ncurve.edwards = require('./edwards');\n","'use strict';\n\nvar assert = require('minimalistic-assert');\nvar inherits = require('inherits');\n\nexports.inherits = inherits;\n\nfunction toArray(msg, enc) {\n  if (Array.isArray(msg))\n    return msg.slice();\n  if (!msg)\n    return [];\n  var res = [];\n  if (typeof msg === 'string') {\n    if (!enc) {\n      for (var i = 0; i < msg.length; i++) {\n        var c = msg.charCodeAt(i);\n        var hi = c >> 8;\n        var lo = c & 0xff;\n        if (hi)\n          res.push(hi, lo);\n        else\n          res.push(lo);\n      }\n    } else if (enc === 'hex') {\n      msg = msg.replace(/[^a-z0-9]+/ig, '');\n      if (msg.length % 2 !== 0)\n        msg = '0' + msg;\n      for (i = 0; i < msg.length; i += 2)\n        res.push(parseInt(msg[i] + msg[i + 1], 16));\n    }\n  } else {\n    for (i = 0; i < msg.length; i++)\n      res[i] = msg[i] | 0;\n  }\n  return res;\n}\nexports.toArray = toArray;\n\nfunction toHex(msg) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++)\n    res += zero2(msg[i].toString(16));\n  return res;\n}\nexports.toHex = toHex;\n\nfunction htonl(w) {\n  var res = (w >>> 24) |\n            ((w >>> 8) & 0xff00) |\n            ((w << 8) & 0xff0000) |\n            ((w & 0xff) << 24);\n  return res >>> 0;\n}\nexports.htonl = htonl;\n\nfunction toHex32(msg, endian) {\n  var res = '';\n  for (var i = 0; i < msg.length; i++) {\n    var w = msg[i];\n    if (endian === 'little')\n      w = htonl(w);\n    res += zero8(w.toString(16));\n  }\n  return res;\n}\nexports.toHex32 = toHex32;\n\nfunction zero2(word) {\n  if (word.length === 1)\n    return '0' + word;\n  else\n    return word;\n}\nexports.zero2 = zero2;\n\nfunction zero8(word) {\n  if (word.length === 7)\n    return '0' + word;\n  else if (word.length === 6)\n    return '00' + word;\n  else if (word.length === 5)\n    return '000' + word;\n  else if (word.length === 4)\n    return '0000' + word;\n  else if (word.length === 3)\n    return '00000' + word;\n  else if (word.length === 2)\n    return '000000' + word;\n  else if (word.length === 1)\n    return '0000000' + word;\n  else\n    return word;\n}\nexports.zero8 = zero8;\n\nfunction join32(msg, start, end, endian) {\n  var len = end - start;\n  assert(len % 4 === 0);\n  var res = new Array(len / 4);\n  for (var i = 0, k = start; i < res.length; i++, k += 4) {\n    var w;\n    if (endian === 'big')\n      w = (msg[k] << 24) | (msg[k + 1] << 16) | (msg[k + 2] << 8) | msg[k + 3];\n    else\n      w = (msg[k + 3] << 24) | (msg[k + 2] << 16) | (msg[k + 1] << 8) | msg[k];\n    res[i] = w >>> 0;\n  }\n  return res;\n}\nexports.join32 = join32;\n\nfunction split32(msg, endian) {\n  var res = new Array(msg.length * 4);\n  for (var i = 0, k = 0; i < msg.length; i++, k += 4) {\n    var m = msg[i];\n    if (endian === 'big') {\n      res[k] = m >>> 24;\n      res[k + 1] = (m >>> 16) & 0xff;\n      res[k + 2] = (m >>> 8) & 0xff;\n      res[k + 3] = m & 0xff;\n    } else {\n      res[k + 3] = m >>> 24;\n      res[k + 2] = (m >>> 16) & 0xff;\n      res[k + 1] = (m >>> 8) & 0xff;\n      res[k] = m & 0xff;\n    }\n  }\n  return res;\n}\nexports.split32 = split32;\n\nfunction rotr32(w, b) {\n  return (w >>> b) | (w << (32 - b));\n}\nexports.rotr32 = rotr32;\n\nfunction rotl32(w, b) {\n  return (w << b) | (w >>> (32 - b));\n}\nexports.rotl32 = rotl32;\n\nfunction sum32(a, b) {\n  return (a + b) >>> 0;\n}\nexports.sum32 = sum32;\n\nfunction sum32_3(a, b, c) {\n  return (a + b + c) >>> 0;\n}\nexports.sum32_3 = sum32_3;\n\nfunction sum32_4(a, b, c, d) {\n  return (a + b + c + d) >>> 0;\n}\nexports.sum32_4 = sum32_4;\n\nfunction sum32_5(a, b, c, d, e) {\n  return (a + b + c + d + e) >>> 0;\n}\nexports.sum32_5 = sum32_5;\n\nfunction sum64(buf, pos, ah, al) {\n  var bh = buf[pos];\n  var bl = buf[pos + 1];\n\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  buf[pos] = hi >>> 0;\n  buf[pos + 1] = lo;\n}\nexports.sum64 = sum64;\n\nfunction sum64_hi(ah, al, bh, bl) {\n  var lo = (al + bl) >>> 0;\n  var hi = (lo < al ? 1 : 0) + ah + bh;\n  return hi >>> 0;\n}\nexports.sum64_hi = sum64_hi;\n\nfunction sum64_lo(ah, al, bh, bl) {\n  var lo = al + bl;\n  return lo >>> 0;\n}\nexports.sum64_lo = sum64_lo;\n\nfunction sum64_4_hi(ah, al, bh, bl, ch, cl, dh, dl) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + carry;\n  return hi >>> 0;\n}\nexports.sum64_4_hi = sum64_4_hi;\n\nfunction sum64_4_lo(ah, al, bh, bl, ch, cl, dh, dl) {\n  var lo = al + bl + cl + dl;\n  return lo >>> 0;\n}\nexports.sum64_4_lo = sum64_4_lo;\n\nfunction sum64_5_hi(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var carry = 0;\n  var lo = al;\n  lo = (lo + bl) >>> 0;\n  carry += lo < al ? 1 : 0;\n  lo = (lo + cl) >>> 0;\n  carry += lo < cl ? 1 : 0;\n  lo = (lo + dl) >>> 0;\n  carry += lo < dl ? 1 : 0;\n  lo = (lo + el) >>> 0;\n  carry += lo < el ? 1 : 0;\n\n  var hi = ah + bh + ch + dh + eh + carry;\n  return hi >>> 0;\n}\nexports.sum64_5_hi = sum64_5_hi;\n\nfunction sum64_5_lo(ah, al, bh, bl, ch, cl, dh, dl, eh, el) {\n  var lo = al + bl + cl + dl + el;\n\n  return lo >>> 0;\n}\nexports.sum64_5_lo = sum64_5_lo;\n\nfunction rotr64_hi(ah, al, num) {\n  var r = (al << (32 - num)) | (ah >>> num);\n  return r >>> 0;\n}\nexports.rotr64_hi = rotr64_hi;\n\nfunction rotr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.rotr64_lo = rotr64_lo;\n\nfunction shr64_hi(ah, al, num) {\n  return ah >>> num;\n}\nexports.shr64_hi = shr64_hi;\n\nfunction shr64_lo(ah, al, num) {\n  var r = (ah << (32 - num)) | (al >>> num);\n  return r >>> 0;\n}\nexports.shr64_lo = shr64_lo;\n","'use strict';\n\nvar utils = require('./utils');\nvar assert = require('minimalistic-assert');\n\nfunction BlockHash() {\n  this.pending = null;\n  this.pendingTotal = 0;\n  this.blockSize = this.constructor.blockSize;\n  this.outSize = this.constructor.outSize;\n  this.hmacStrength = this.constructor.hmacStrength;\n  this.padLength = this.constructor.padLength / 8;\n  this.endian = 'big';\n\n  this._delta8 = this.blockSize / 8;\n  this._delta32 = this.blockSize / 32;\n}\nexports.BlockHash = BlockHash;\n\nBlockHash.prototype.update = function update(msg, enc) {\n  // Convert message to array, pad it, and join into 32bit blocks\n  msg = utils.toArray(msg, enc);\n  if (!this.pending)\n    this.pending = msg;\n  else\n    this.pending = this.pending.concat(msg);\n  this.pendingTotal += msg.length;\n\n  // Enough data, try updating\n  if (this.pending.length >= this._delta8) {\n    msg = this.pending;\n\n    // Process pending data in blocks\n    var r = msg.length % this._delta8;\n    this.pending = msg.slice(msg.length - r, msg.length);\n    if (this.pending.length === 0)\n      this.pending = null;\n\n    msg = utils.join32(msg, 0, msg.length - r, this.endian);\n    for (var i = 0; i < msg.length; i += this._delta32)\n      this._update(msg, i, i + this._delta32);\n  }\n\n  return this;\n};\n\nBlockHash.prototype.digest = function digest(enc) {\n  this.update(this._pad());\n  assert(this.pending === null);\n\n  return this._digest(enc);\n};\n\nBlockHash.prototype._pad = function pad() {\n  var len = this.pendingTotal;\n  var bytes = this._delta8;\n  var k = bytes - ((len + this.padLength) % bytes);\n  var res = new Array(k + this.padLength);\n  res[0] = 0x80;\n  for (var i = 1; i < k; i++)\n    res[i] = 0;\n\n  // Append length\n  len <<= 3;\n  if (this.endian === 'big') {\n    for (var t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = len & 0xff;\n  } else {\n    res[i++] = len & 0xff;\n    res[i++] = (len >>> 8) & 0xff;\n    res[i++] = (len >>> 16) & 0xff;\n    res[i++] = (len >>> 24) & 0xff;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n    res[i++] = 0;\n\n    for (t = 8; t < this.padLength; t++)\n      res[i++] = 0;\n  }\n\n  return res;\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar rotr32 = utils.rotr32;\n\nfunction ft_1(s, x, y, z) {\n  if (s === 0)\n    return ch32(x, y, z);\n  if (s === 1 || s === 3)\n    return p32(x, y, z);\n  if (s === 2)\n    return maj32(x, y, z);\n}\nexports.ft_1 = ft_1;\n\nfunction ch32(x, y, z) {\n  return (x & y) ^ ((~x) & z);\n}\nexports.ch32 = ch32;\n\nfunction maj32(x, y, z) {\n  return (x & y) ^ (x & z) ^ (y & z);\n}\nexports.maj32 = maj32;\n\nfunction p32(x, y, z) {\n  return x ^ y ^ z;\n}\nexports.p32 = p32;\n\nfunction s0_256(x) {\n  return rotr32(x, 2) ^ rotr32(x, 13) ^ rotr32(x, 22);\n}\nexports.s0_256 = s0_256;\n\nfunction s1_256(x) {\n  return rotr32(x, 6) ^ rotr32(x, 11) ^ rotr32(x, 25);\n}\nexports.s1_256 = s1_256;\n\nfunction g0_256(x) {\n  return rotr32(x, 7) ^ rotr32(x, 18) ^ (x >>> 3);\n}\nexports.g0_256 = g0_256;\n\nfunction g1_256(x) {\n  return rotr32(x, 17) ^ rotr32(x, 19) ^ (x >>> 10);\n}\nexports.g1_256 = g1_256;\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_5 = utils.sum32_5;\nvar ft_1 = shaCommon.ft_1;\nvar BlockHash = common.BlockHash;\n\nvar sha1_K = [\n  0x5A827999, 0x6ED9EBA1,\n  0x8F1BBCDC, 0xCA62C1D6\n];\n\nfunction SHA1() {\n  if (!(this instanceof SHA1))\n    return new SHA1();\n\n  BlockHash.call(this);\n  this.h = [\n    0x67452301, 0xefcdab89, 0x98badcfe,\n    0x10325476, 0xc3d2e1f0 ];\n  this.W = new Array(80);\n}\n\nutils.inherits(SHA1, BlockHash);\nmodule.exports = SHA1;\n\nSHA1.blockSize = 512;\nSHA1.outSize = 160;\nSHA1.hmacStrength = 80;\nSHA1.padLength = 64;\n\nSHA1.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n\n  for(; i < W.length; i++)\n    W[i] = rotl32(W[i - 3] ^ W[i - 8] ^ W[i - 14] ^ W[i - 16], 1);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n\n  for (i = 0; i < W.length; i++) {\n    var s = ~~(i / 20);\n    var t = sum32_5(rotl32(a, 5), ft_1(s, b, c, d), e, W[i], sha1_K[s]);\n    e = d;\n    d = c;\n    c = rotl32(b, 30);\n    b = a;\n    a = t;\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n};\n\nSHA1.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar shaCommon = require('./common');\nvar assert = require('minimalistic-assert');\n\nvar sum32 = utils.sum32;\nvar sum32_4 = utils.sum32_4;\nvar sum32_5 = utils.sum32_5;\nvar ch32 = shaCommon.ch32;\nvar maj32 = shaCommon.maj32;\nvar s0_256 = shaCommon.s0_256;\nvar s1_256 = shaCommon.s1_256;\nvar g0_256 = shaCommon.g0_256;\nvar g1_256 = shaCommon.g1_256;\n\nvar BlockHash = common.BlockHash;\n\nvar sha256_K = [\n  0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5,\n  0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,\n  0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3,\n  0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,\n  0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc,\n  0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,\n  0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7,\n  0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,\n  0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13,\n  0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,\n  0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3,\n  0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,\n  0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5,\n  0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,\n  0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208,\n  0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2\n];\n\nfunction SHA256() {\n  if (!(this instanceof SHA256))\n    return new SHA256();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xbb67ae85, 0x3c6ef372, 0xa54ff53a,\n    0x510e527f, 0x9b05688c, 0x1f83d9ab, 0x5be0cd19\n  ];\n  this.k = sha256_K;\n  this.W = new Array(64);\n}\nutils.inherits(SHA256, BlockHash);\nmodule.exports = SHA256;\n\nSHA256.blockSize = 512;\nSHA256.outSize = 256;\nSHA256.hmacStrength = 192;\nSHA256.padLength = 64;\n\nSHA256.prototype._update = function _update(msg, start) {\n  var W = this.W;\n\n  for (var i = 0; i < 16; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i++)\n    W[i] = sum32_4(g1_256(W[i - 2]), W[i - 7], g0_256(W[i - 15]), W[i - 16]);\n\n  var a = this.h[0];\n  var b = this.h[1];\n  var c = this.h[2];\n  var d = this.h[3];\n  var e = this.h[4];\n  var f = this.h[5];\n  var g = this.h[6];\n  var h = this.h[7];\n\n  assert(this.k.length === W.length);\n  for (i = 0; i < W.length; i++) {\n    var T1 = sum32_5(h, s1_256(e), ch32(e, f, g), this.k[i], W[i]);\n    var T2 = sum32(s0_256(a), maj32(a, b, c));\n    h = g;\n    g = f;\n    f = e;\n    e = sum32(d, T1);\n    d = c;\n    c = b;\n    b = a;\n    a = sum32(T1, T2);\n  }\n\n  this.h[0] = sum32(this.h[0], a);\n  this.h[1] = sum32(this.h[1], b);\n  this.h[2] = sum32(this.h[2], c);\n  this.h[3] = sum32(this.h[3], d);\n  this.h[4] = sum32(this.h[4], e);\n  this.h[5] = sum32(this.h[5], f);\n  this.h[6] = sum32(this.h[6], g);\n  this.h[7] = sum32(this.h[7], h);\n};\n\nSHA256.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n","'use strict';\n\nvar utils = require('../utils');\nvar SHA256 = require('./256');\n\nfunction SHA224() {\n  if (!(this instanceof SHA224))\n    return new SHA224();\n\n  SHA256.call(this);\n  this.h = [\n    0xc1059ed8, 0x367cd507, 0x3070dd17, 0xf70e5939,\n    0xffc00b31, 0x68581511, 0x64f98fa7, 0xbefa4fa4 ];\n}\nutils.inherits(SHA224, SHA256);\nmodule.exports = SHA224;\n\nSHA224.blockSize = 512;\nSHA224.outSize = 224;\nSHA224.hmacStrength = 192;\nSHA224.padLength = 64;\n\nSHA224.prototype._digest = function digest(enc) {\n  // Just truncate output\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 7), 'big');\n  else\n    return utils.split32(this.h.slice(0, 7), 'big');\n};\n\n","'use strict';\n\nvar utils = require('../utils');\nvar common = require('../common');\nvar assert = require('minimalistic-assert');\n\nvar rotr64_hi = utils.rotr64_hi;\nvar rotr64_lo = utils.rotr64_lo;\nvar shr64_hi = utils.shr64_hi;\nvar shr64_lo = utils.shr64_lo;\nvar sum64 = utils.sum64;\nvar sum64_hi = utils.sum64_hi;\nvar sum64_lo = utils.sum64_lo;\nvar sum64_4_hi = utils.sum64_4_hi;\nvar sum64_4_lo = utils.sum64_4_lo;\nvar sum64_5_hi = utils.sum64_5_hi;\nvar sum64_5_lo = utils.sum64_5_lo;\n\nvar BlockHash = common.BlockHash;\n\nvar sha512_K = [\n  0x428a2f98, 0xd728ae22, 0x71374491, 0x23ef65cd,\n  0xb5c0fbcf, 0xec4d3b2f, 0xe9b5dba5, 0x8189dbbc,\n  0x3956c25b, 0xf348b538, 0x59f111f1, 0xb605d019,\n  0x923f82a4, 0xaf194f9b, 0xab1c5ed5, 0xda6d8118,\n  0xd807aa98, 0xa3030242, 0x12835b01, 0x45706fbe,\n  0x243185be, 0x4ee4b28c, 0x550c7dc3, 0xd5ffb4e2,\n  0x72be5d74, 0xf27b896f, 0x80deb1fe, 0x3b1696b1,\n  0x9bdc06a7, 0x25c71235, 0xc19bf174, 0xcf692694,\n  0xe49b69c1, 0x9ef14ad2, 0xefbe4786, 0x384f25e3,\n  0x0fc19dc6, 0x8b8cd5b5, 0x240ca1cc, 0x77ac9c65,\n  0x2de92c6f, 0x592b0275, 0x4a7484aa, 0x6ea6e483,\n  0x5cb0a9dc, 0xbd41fbd4, 0x76f988da, 0x831153b5,\n  0x983e5152, 0xee66dfab, 0xa831c66d, 0x2db43210,\n  0xb00327c8, 0x98fb213f, 0xbf597fc7, 0xbeef0ee4,\n  0xc6e00bf3, 0x3da88fc2, 0xd5a79147, 0x930aa725,\n  0x06ca6351, 0xe003826f, 0x14292967, 0x0a0e6e70,\n  0x27b70a85, 0x46d22ffc, 0x2e1b2138, 0x5c26c926,\n  0x4d2c6dfc, 0x5ac42aed, 0x53380d13, 0x9d95b3df,\n  0x650a7354, 0x8baf63de, 0x766a0abb, 0x3c77b2a8,\n  0x81c2c92e, 0x47edaee6, 0x92722c85, 0x1482353b,\n  0xa2bfe8a1, 0x4cf10364, 0xa81a664b, 0xbc423001,\n  0xc24b8b70, 0xd0f89791, 0xc76c51a3, 0x0654be30,\n  0xd192e819, 0xd6ef5218, 0xd6990624, 0x5565a910,\n  0xf40e3585, 0x5771202a, 0x106aa070, 0x32bbd1b8,\n  0x19a4c116, 0xb8d2d0c8, 0x1e376c08, 0x5141ab53,\n  0x2748774c, 0xdf8eeb99, 0x34b0bcb5, 0xe19b48a8,\n  0x391c0cb3, 0xc5c95a63, 0x4ed8aa4a, 0xe3418acb,\n  0x5b9cca4f, 0x7763e373, 0x682e6ff3, 0xd6b2b8a3,\n  0x748f82ee, 0x5defb2fc, 0x78a5636f, 0x43172f60,\n  0x84c87814, 0xa1f0ab72, 0x8cc70208, 0x1a6439ec,\n  0x90befffa, 0x23631e28, 0xa4506ceb, 0xde82bde9,\n  0xbef9a3f7, 0xb2c67915, 0xc67178f2, 0xe372532b,\n  0xca273ece, 0xea26619c, 0xd186b8c7, 0x21c0c207,\n  0xeada7dd6, 0xcde0eb1e, 0xf57d4f7f, 0xee6ed178,\n  0x06f067aa, 0x72176fba, 0x0a637dc5, 0xa2c898a6,\n  0x113f9804, 0xbef90dae, 0x1b710b35, 0x131c471b,\n  0x28db77f5, 0x23047d84, 0x32caab7b, 0x40c72493,\n  0x3c9ebe0a, 0x15c9bebc, 0x431d67c4, 0x9c100d4c,\n  0x4cc5d4be, 0xcb3e42b6, 0x597f299c, 0xfc657e2a,\n  0x5fcb6fab, 0x3ad6faec, 0x6c44198c, 0x4a475817\n];\n\nfunction SHA512() {\n  if (!(this instanceof SHA512))\n    return new SHA512();\n\n  BlockHash.call(this);\n  this.h = [\n    0x6a09e667, 0xf3bcc908,\n    0xbb67ae85, 0x84caa73b,\n    0x3c6ef372, 0xfe94f82b,\n    0xa54ff53a, 0x5f1d36f1,\n    0x510e527f, 0xade682d1,\n    0x9b05688c, 0x2b3e6c1f,\n    0x1f83d9ab, 0xfb41bd6b,\n    0x5be0cd19, 0x137e2179 ];\n  this.k = sha512_K;\n  this.W = new Array(160);\n}\nutils.inherits(SHA512, BlockHash);\nmodule.exports = SHA512;\n\nSHA512.blockSize = 1024;\nSHA512.outSize = 512;\nSHA512.hmacStrength = 192;\nSHA512.padLength = 128;\n\nSHA512.prototype._prepareBlock = function _prepareBlock(msg, start) {\n  var W = this.W;\n\n  // 32 x 32bit words\n  for (var i = 0; i < 32; i++)\n    W[i] = msg[start + i];\n  for (; i < W.length; i += 2) {\n    var c0_hi = g1_512_hi(W[i - 4], W[i - 3]);  // i - 2\n    var c0_lo = g1_512_lo(W[i - 4], W[i - 3]);\n    var c1_hi = W[i - 14];  // i - 7\n    var c1_lo = W[i - 13];\n    var c2_hi = g0_512_hi(W[i - 30], W[i - 29]);  // i - 15\n    var c2_lo = g0_512_lo(W[i - 30], W[i - 29]);\n    var c3_hi = W[i - 32];  // i - 16\n    var c3_lo = W[i - 31];\n\n    W[i] = sum64_4_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n    W[i + 1] = sum64_4_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo);\n  }\n};\n\nSHA512.prototype._update = function _update(msg, start) {\n  this._prepareBlock(msg, start);\n\n  var W = this.W;\n\n  var ah = this.h[0];\n  var al = this.h[1];\n  var bh = this.h[2];\n  var bl = this.h[3];\n  var ch = this.h[4];\n  var cl = this.h[5];\n  var dh = this.h[6];\n  var dl = this.h[7];\n  var eh = this.h[8];\n  var el = this.h[9];\n  var fh = this.h[10];\n  var fl = this.h[11];\n  var gh = this.h[12];\n  var gl = this.h[13];\n  var hh = this.h[14];\n  var hl = this.h[15];\n\n  assert(this.k.length === W.length);\n  for (var i = 0; i < W.length; i += 2) {\n    var c0_hi = hh;\n    var c0_lo = hl;\n    var c1_hi = s1_512_hi(eh, el);\n    var c1_lo = s1_512_lo(eh, el);\n    var c2_hi = ch64_hi(eh, el, fh, fl, gh, gl);\n    var c2_lo = ch64_lo(eh, el, fh, fl, gh, gl);\n    var c3_hi = this.k[i];\n    var c3_lo = this.k[i + 1];\n    var c4_hi = W[i];\n    var c4_lo = W[i + 1];\n\n    var T1_hi = sum64_5_hi(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n    var T1_lo = sum64_5_lo(\n      c0_hi, c0_lo,\n      c1_hi, c1_lo,\n      c2_hi, c2_lo,\n      c3_hi, c3_lo,\n      c4_hi, c4_lo);\n\n    c0_hi = s0_512_hi(ah, al);\n    c0_lo = s0_512_lo(ah, al);\n    c1_hi = maj64_hi(ah, al, bh, bl, ch, cl);\n    c1_lo = maj64_lo(ah, al, bh, bl, ch, cl);\n\n    var T2_hi = sum64_hi(c0_hi, c0_lo, c1_hi, c1_lo);\n    var T2_lo = sum64_lo(c0_hi, c0_lo, c1_hi, c1_lo);\n\n    hh = gh;\n    hl = gl;\n\n    gh = fh;\n    gl = fl;\n\n    fh = eh;\n    fl = el;\n\n    eh = sum64_hi(dh, dl, T1_hi, T1_lo);\n    el = sum64_lo(dl, dl, T1_hi, T1_lo);\n\n    dh = ch;\n    dl = cl;\n\n    ch = bh;\n    cl = bl;\n\n    bh = ah;\n    bl = al;\n\n    ah = sum64_hi(T1_hi, T1_lo, T2_hi, T2_lo);\n    al = sum64_lo(T1_hi, T1_lo, T2_hi, T2_lo);\n  }\n\n  sum64(this.h, 0, ah, al);\n  sum64(this.h, 2, bh, bl);\n  sum64(this.h, 4, ch, cl);\n  sum64(this.h, 6, dh, dl);\n  sum64(this.h, 8, eh, el);\n  sum64(this.h, 10, fh, fl);\n  sum64(this.h, 12, gh, gl);\n  sum64(this.h, 14, hh, hl);\n};\n\nSHA512.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'big');\n  else\n    return utils.split32(this.h, 'big');\n};\n\nfunction ch64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ ((~xh) & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction ch64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ ((~xl) & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_hi(xh, xl, yh, yl, zh) {\n  var r = (xh & yh) ^ (xh & zh) ^ (yh & zh);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction maj64_lo(xh, xl, yh, yl, zh, zl) {\n  var r = (xl & yl) ^ (xl & zl) ^ (yl & zl);\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 28);\n  var c1_hi = rotr64_hi(xl, xh, 2);  // 34\n  var c2_hi = rotr64_hi(xl, xh, 7);  // 39\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 28);\n  var c1_lo = rotr64_lo(xl, xh, 2);  // 34\n  var c2_lo = rotr64_lo(xl, xh, 7);  // 39\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 14);\n  var c1_hi = rotr64_hi(xh, xl, 18);\n  var c2_hi = rotr64_hi(xl, xh, 9);  // 41\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction s1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 14);\n  var c1_lo = rotr64_lo(xh, xl, 18);\n  var c2_lo = rotr64_lo(xl, xh, 9);  // 41\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 1);\n  var c1_hi = rotr64_hi(xh, xl, 8);\n  var c2_hi = shr64_hi(xh, xl, 7);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g0_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 1);\n  var c1_lo = rotr64_lo(xh, xl, 8);\n  var c2_lo = shr64_lo(xh, xl, 7);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_hi(xh, xl) {\n  var c0_hi = rotr64_hi(xh, xl, 19);\n  var c1_hi = rotr64_hi(xl, xh, 29);  // 61\n  var c2_hi = shr64_hi(xh, xl, 6);\n\n  var r = c0_hi ^ c1_hi ^ c2_hi;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n\nfunction g1_512_lo(xh, xl) {\n  var c0_lo = rotr64_lo(xh, xl, 19);\n  var c1_lo = rotr64_lo(xl, xh, 29);  // 61\n  var c2_lo = shr64_lo(xh, xl, 6);\n\n  var r = c0_lo ^ c1_lo ^ c2_lo;\n  if (r < 0)\n    r += 0x100000000;\n  return r;\n}\n","'use strict';\n\nvar utils = require('../utils');\n\nvar SHA512 = require('./512');\n\nfunction SHA384() {\n  if (!(this instanceof SHA384))\n    return new SHA384();\n\n  SHA512.call(this);\n  this.h = [\n    0xcbbb9d5d, 0xc1059ed8,\n    0x629a292a, 0x367cd507,\n    0x9159015a, 0x3070dd17,\n    0x152fecd8, 0xf70e5939,\n    0x67332667, 0xffc00b31,\n    0x8eb44a87, 0x68581511,\n    0xdb0c2e0d, 0x64f98fa7,\n    0x47b5481d, 0xbefa4fa4 ];\n}\nutils.inherits(SHA384, SHA512);\nmodule.exports = SHA384;\n\nSHA384.blockSize = 1024;\nSHA384.outSize = 384;\nSHA384.hmacStrength = 192;\nSHA384.padLength = 128;\n\nSHA384.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h.slice(0, 12), 'big');\n  else\n    return utils.split32(this.h.slice(0, 12), 'big');\n};\n","'use strict';\n\nexports.sha1 = require('./sha/1');\nexports.sha224 = require('./sha/224');\nexports.sha256 = require('./sha/256');\nexports.sha384 = require('./sha/384');\nexports.sha512 = require('./sha/512');\n","'use strict';\n\nvar utils = require('./utils');\nvar common = require('./common');\n\nvar rotl32 = utils.rotl32;\nvar sum32 = utils.sum32;\nvar sum32_3 = utils.sum32_3;\nvar sum32_4 = utils.sum32_4;\nvar BlockHash = common.BlockHash;\n\nfunction RIPEMD160() {\n  if (!(this instanceof RIPEMD160))\n    return new RIPEMD160();\n\n  BlockHash.call(this);\n\n  this.h = [ 0x67452301, 0xefcdab89, 0x98badcfe, 0x10325476, 0xc3d2e1f0 ];\n  this.endian = 'little';\n}\nutils.inherits(RIPEMD160, BlockHash);\nexports.ripemd160 = RIPEMD160;\n\nRIPEMD160.blockSize = 512;\nRIPEMD160.outSize = 160;\nRIPEMD160.hmacStrength = 192;\nRIPEMD160.padLength = 64;\n\nRIPEMD160.prototype._update = function update(msg, start) {\n  var A = this.h[0];\n  var B = this.h[1];\n  var C = this.h[2];\n  var D = this.h[3];\n  var E = this.h[4];\n  var Ah = A;\n  var Bh = B;\n  var Ch = C;\n  var Dh = D;\n  var Eh = E;\n  for (var j = 0; j < 80; j++) {\n    var T = sum32(\n      rotl32(\n        sum32_4(A, f(j, B, C, D), msg[r[j] + start], K(j)),\n        s[j]),\n      E);\n    A = E;\n    E = D;\n    D = rotl32(C, 10);\n    C = B;\n    B = T;\n    T = sum32(\n      rotl32(\n        sum32_4(Ah, f(79 - j, Bh, Ch, Dh), msg[rh[j] + start], Kh(j)),\n        sh[j]),\n      Eh);\n    Ah = Eh;\n    Eh = Dh;\n    Dh = rotl32(Ch, 10);\n    Ch = Bh;\n    Bh = T;\n  }\n  T = sum32_3(this.h[1], C, Dh);\n  this.h[1] = sum32_3(this.h[2], D, Eh);\n  this.h[2] = sum32_3(this.h[3], E, Ah);\n  this.h[3] = sum32_3(this.h[4], A, Bh);\n  this.h[4] = sum32_3(this.h[0], B, Ch);\n  this.h[0] = T;\n};\n\nRIPEMD160.prototype._digest = function digest(enc) {\n  if (enc === 'hex')\n    return utils.toHex32(this.h, 'little');\n  else\n    return utils.split32(this.h, 'little');\n};\n\nfunction f(j, x, y, z) {\n  if (j <= 15)\n    return x ^ y ^ z;\n  else if (j <= 31)\n    return (x & y) | ((~x) & z);\n  else if (j <= 47)\n    return (x | (~y)) ^ z;\n  else if (j <= 63)\n    return (x & z) | (y & (~z));\n  else\n    return x ^ (y | (~z));\n}\n\nfunction K(j) {\n  if (j <= 15)\n    return 0x00000000;\n  else if (j <= 31)\n    return 0x5a827999;\n  else if (j <= 47)\n    return 0x6ed9eba1;\n  else if (j <= 63)\n    return 0x8f1bbcdc;\n  else\n    return 0xa953fd4e;\n}\n\nfunction Kh(j) {\n  if (j <= 15)\n    return 0x50a28be6;\n  else if (j <= 31)\n    return 0x5c4dd124;\n  else if (j <= 47)\n    return 0x6d703ef3;\n  else if (j <= 63)\n    return 0x7a6d76e9;\n  else\n    return 0x00000000;\n}\n\nvar r = [\n  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n  7, 4, 13, 1, 10, 6, 15, 3, 12, 0, 9, 5, 2, 14, 11, 8,\n  3, 10, 14, 4, 9, 15, 8, 1, 2, 7, 0, 6, 13, 11, 5, 12,\n  1, 9, 11, 10, 0, 8, 12, 4, 13, 3, 7, 15, 14, 5, 6, 2,\n  4, 0, 5, 9, 7, 12, 2, 10, 14, 1, 3, 8, 11, 6, 15, 13\n];\n\nvar rh = [\n  5, 14, 7, 0, 9, 2, 11, 4, 13, 6, 15, 8, 1, 10, 3, 12,\n  6, 11, 3, 7, 0, 13, 5, 10, 14, 15, 8, 12, 4, 9, 1, 2,\n  15, 5, 1, 3, 7, 14, 6, 9, 11, 8, 12, 2, 10, 0, 4, 13,\n  8, 6, 4, 1, 3, 11, 15, 0, 5, 12, 2, 13, 9, 7, 10, 14,\n  12, 15, 10, 4, 1, 5, 8, 7, 6, 2, 13, 14, 0, 3, 9, 11\n];\n\nvar s = [\n  11, 14, 15, 12, 5, 8, 7, 9, 11, 13, 14, 15, 6, 7, 9, 8,\n  7, 6, 8, 13, 11, 9, 7, 15, 7, 12, 15, 9, 11, 7, 13, 12,\n  11, 13, 6, 7, 14, 9, 13, 15, 14, 8, 13, 6, 5, 12, 7, 5,\n  11, 12, 14, 15, 14, 15, 9, 8, 9, 14, 5, 6, 8, 6, 5, 12,\n  9, 15, 5, 11, 6, 8, 13, 12, 5, 12, 13, 14, 11, 8, 5, 6\n];\n\nvar sh = [\n  8, 9, 9, 11, 13, 15, 15, 5, 7, 7, 8, 11, 14, 14, 12, 6,\n  9, 13, 15, 7, 12, 8, 9, 11, 7, 7, 12, 7, 6, 15, 13, 11,\n  9, 7, 15, 11, 8, 6, 6, 14, 12, 13, 5, 14, 13, 13, 7, 5,\n  15, 5, 8, 11, 14, 14, 6, 14, 6, 9, 12, 9, 12, 5, 15, 8,\n  8, 5, 12, 9, 12, 5, 14, 6, 8, 13, 6, 5, 15, 13, 11, 11\n];\n","'use strict';\n\nvar utils = require('./utils');\nvar assert = require('minimalistic-assert');\n\nfunction Hmac(hash, key, enc) {\n  if (!(this instanceof Hmac))\n    return new Hmac(hash, key, enc);\n  this.Hash = hash;\n  this.blockSize = hash.blockSize / 8;\n  this.outSize = hash.outSize / 8;\n  this.inner = null;\n  this.outer = null;\n\n  this._init(utils.toArray(key, enc));\n}\nmodule.exports = Hmac;\n\nHmac.prototype._init = function init(key) {\n  // Shorten key, if needed\n  if (key.length > this.blockSize)\n    key = new this.Hash().update(key).digest();\n  assert(key.length <= this.blockSize);\n\n  // Add padding to key\n  for (var i = key.length; i < this.blockSize; i++)\n    key.push(0);\n\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x36;\n  this.inner = new this.Hash().update(key);\n\n  // 0x36 ^ 0x5c = 0x6a\n  for (i = 0; i < key.length; i++)\n    key[i] ^= 0x6a;\n  this.outer = new this.Hash().update(key);\n};\n\nHmac.prototype.update = function update(msg, enc) {\n  this.inner.update(msg, enc);\n  return this;\n};\n\nHmac.prototype.digest = function digest(enc) {\n  this.outer.update(this.inner.digest());\n  return this.outer.digest(enc);\n};\n","var hash = exports;\n\nhash.utils = require('./hash/utils');\nhash.common = require('./hash/common');\nhash.sha = require('./hash/sha');\nhash.ripemd = require('./hash/ripemd');\nhash.hmac = require('./hash/hmac');\n\n// Proxy hash functions to the main object\nhash.sha1 = hash.sha.sha1;\nhash.sha256 = hash.sha.sha256;\nhash.sha224 = hash.sha.sha224;\nhash.sha384 = hash.sha.sha384;\nhash.sha512 = hash.sha.sha512;\nhash.ripemd160 = hash.ripemd.ripemd160;\n","module.exports = {\n  doubles: {\n    step: 4,\n    points: [\n      [\n        'e60fce93b59e9ec53011aabc21c23e97b2a31369b87a5ae9c44ee89e2a6dec0a',\n        'f7e3507399e595929db99f34f57937101296891e44d23f0be1f32cce69616821'\n      ],\n      [\n        '8282263212c609d9ea2a6e3e172de238d8c39cabd5ac1ca10646e23fd5f51508',\n        '11f8a8098557dfe45e8256e830b60ace62d613ac2f7b17bed31b6eaff6e26caf'\n      ],\n      [\n        '175e159f728b865a72f99cc6c6fc846de0b93833fd2222ed73fce5b551e5b739',\n        'd3506e0d9e3c79eba4ef97a51ff71f5eacb5955add24345c6efa6ffee9fed695'\n      ],\n      [\n        '363d90d447b00c9c99ceac05b6262ee053441c7e55552ffe526bad8f83ff4640',\n        '4e273adfc732221953b445397f3363145b9a89008199ecb62003c7f3bee9de9'\n      ],\n      [\n        '8b4b5f165df3c2be8c6244b5b745638843e4a781a15bcd1b69f79a55dffdf80c',\n        '4aad0a6f68d308b4b3fbd7813ab0da04f9e336546162ee56b3eff0c65fd4fd36'\n      ],\n      [\n        '723cbaa6e5db996d6bf771c00bd548c7b700dbffa6c0e77bcb6115925232fcda',\n        '96e867b5595cc498a921137488824d6e2660a0653779494801dc069d9eb39f5f'\n      ],\n      [\n        'eebfa4d493bebf98ba5feec812c2d3b50947961237a919839a533eca0e7dd7fa',\n        '5d9a8ca3970ef0f269ee7edaf178089d9ae4cdc3a711f712ddfd4fdae1de8999'\n      ],\n      [\n        '100f44da696e71672791d0a09b7bde459f1215a29b3c03bfefd7835b39a48db0',\n        'cdd9e13192a00b772ec8f3300c090666b7ff4a18ff5195ac0fbd5cd62bc65a09'\n      ],\n      [\n        'e1031be262c7ed1b1dc9227a4a04c017a77f8d4464f3b3852c8acde6e534fd2d',\n        '9d7061928940405e6bb6a4176597535af292dd419e1ced79a44f18f29456a00d'\n      ],\n      [\n        'feea6cae46d55b530ac2839f143bd7ec5cf8b266a41d6af52d5e688d9094696d',\n        'e57c6b6c97dce1bab06e4e12bf3ecd5c981c8957cc41442d3155debf18090088'\n      ],\n      [\n        'da67a91d91049cdcb367be4be6ffca3cfeed657d808583de33fa978bc1ec6cb1',\n        '9bacaa35481642bc41f463f7ec9780e5dec7adc508f740a17e9ea8e27a68be1d'\n      ],\n      [\n        '53904faa0b334cdda6e000935ef22151ec08d0f7bb11069f57545ccc1a37b7c0',\n        '5bc087d0bc80106d88c9eccac20d3c1c13999981e14434699dcb096b022771c8'\n      ],\n      [\n        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'53a562856dcb6646dc6b74c5d1c3418c6d4dff08c97cd2bed4cb7f88d8c8e589'\n      ],\n      [\n        '6260ce7f461801c34f067ce0f02873a8f1b0e44dfc69752accecd819f38fd8e8',\n        'bc2da82b6fa5b571a7f09049776a1ef7ecd292238051c198c1a84e95b2b4ae17'\n      ],\n      [\n        'e5037de0afc1d8d43d8348414bbf4103043ec8f575bfdc432953cc8d2037fa2d',\n        '4571534baa94d3b5f9f98d09fb990bddbd5f5b03ec481f10e0e5dc841d755bda'\n      ],\n      [\n        'e06372b0f4a207adf5ea905e8f1771b4e7e8dbd1c6a6c5b725866a0ae4fce725',\n        '7a908974bce18cfe12a27bb2ad5a488cd7484a7787104870b27034f94eee31dd'\n      ],\n      [\n        '213c7a715cd5d45358d0bbf9dc0ce02204b10bdde2a3f58540ad6908d0559754',\n        '4b6dad0b5ae462507013ad06245ba190bb4850f5f36a7eeddff2c27534b458f2'\n      ],\n      [\n        '4e7c272a7af4b34e8dbb9352a5419a87e2838c70adc62cddf0cc3a3b08fbd53c',\n        '17749c766c9d0b18e16fd09f6def681b530b9614bff7dd33e0b3941817dcaae6'\n      ],\n      [\n        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'bd1aeb21ad22ebb22a10f0303417c6d964f8cdd7df0aca614b10dc14d125ac46'\n      ],\n      [\n        '463e2763d885f958fc66cdd22800f0a487197d0a82e377b49f80af87c897b065',\n        'bfefacdb0e5d0fd7df3a311a94de062b26b80c61fbc97508b79992671ef7ca7f'\n      ],\n      [\n        '7985fdfd127c0567c6f53ec1bb63ec3158e597c40bfe747c83cddfc910641917',\n        '603c12daf3d9862ef2b25fe1de289aed24ed291e0ec6708703a5bd567f32ed03'\n      ],\n      [\n        '74a1ad6b5f76e39db2dd249410eac7f99e74c59cb83d2d0ed5ff1543da7703e9',\n        'cc6157ef18c9c63cd6193d83631bbea0093e0968942e8c33d5737fd790e0db08'\n      ],\n      [\n        '30682a50703375f602d416664ba19b7fc9bab42c72747463a71d0896b22f6da3',\n        '553e04f6b018b4fa6c8f39e7f311d3176290d0e0f19ca73f17714d9977a22ff8'\n      ],\n      [\n        '9e2158f0d7c0d5f26c3791efefa79597654e7a2b2464f52b1ee6c1347769ef57',\n        '712fcdd1b9053f09003a3481fa7762e9ffd7c8ef35a38509e2fbf2629008373'\n      ],\n      [\n        '176e26989a43c9cfeba4029c202538c28172e566e3c4fce7322857f3be327d66',\n        'ed8cc9d04b29eb877d270b4878dc43c19aefd31f4eee09ee7b47834c1fa4b1c3'\n      ],\n      [\n        '75d46efea3771e6e68abb89a13ad747ecf1892393dfc4f1b7004788c50374da8',\n        '9852390a99507679fd0b86fd2b39a868d7efc22151346e1a3ca4726586a6bed8'\n      ],\n      [\n        '809a20c67d64900ffb698c4c825f6d5f2310fb0451c869345b7319f645605721',\n        '9e994980d9917e22b76b061927fa04143d096ccc54963e6a5ebfa5f3f8e286c1'\n      ],\n      [\n        '1b38903a43f7f114ed4500b4eac7083fdefece1cf29c63528d563446f972c180',\n        '4036edc931a60ae889353f77fd53de4a2708b26b6f5da72ad3394119daf408f9'\n      ]\n    ]\n  }\n};\n","'use strict';\n\nvar curves = exports;\n\nvar hash = require('hash.js');\nvar elliptic = require('../elliptic');\n\nvar assert = elliptic.utils.assert;\n\nfunction PresetCurve(options) {\n  if (options.type === 'short')\n    this.curve = new elliptic.curve.short(options);\n  else if (options.type === 'edwards')\n    this.curve = new elliptic.curve.edwards(options);\n  else\n    this.curve = new elliptic.curve.mont(options);\n  this.g = this.curve.g;\n  this.n = this.curve.n;\n  this.hash = options.hash;\n\n  assert(this.g.validate(), 'Invalid curve');\n  assert(this.g.mul(this.n).isInfinity(), 'Invalid curve, G*N != O');\n}\ncurves.PresetCurve = PresetCurve;\n\nfunction defineCurve(name, options) {\n  Object.defineProperty(curves, name, {\n    configurable: true,\n    enumerable: true,\n    get: function() {\n      var curve = new PresetCurve(options);\n      Object.defineProperty(curves, name, {\n        configurable: true,\n        enumerable: true,\n        value: curve\n      });\n      return curve;\n    }\n  });\n}\n\ndefineCurve('p192', {\n  type: 'short',\n  prime: 'p192',\n  p: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc',\n  b: '64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1',\n  n: 'ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012',\n    '07192b95 ffc8da78 631011ed 6b24cdd5 73f977a1 1e794811'\n  ]\n});\n\ndefineCurve('p224', {\n  type: 'short',\n  prime: 'p224',\n  p: 'ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001',\n  a: 'ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff fffffffe',\n  b: 'b4050a85 0c04b3ab f5413256 5044b0b7 d7bfd8ba 270b3943 2355ffb4',\n  n: 'ffffffff ffffffff ffffffff ffff16a2 e0b8f03e 13dd2945 5c5c2a3d',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    'b70e0cbd 6bb4bf7f 321390b9 4a03c1d3 56c21122 343280d6 115c1d21',\n    'bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34'\n  ]\n});\n\ndefineCurve('p256', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff',\n  a: 'ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc',\n  b: '5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b',\n  n: 'ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296',\n    '4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5'\n  ]\n});\n\ndefineCurve('p384', {\n  type: 'short',\n  prime: null,\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 ffffffff',\n  a: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'fffffffe ffffffff 00000000 00000000 fffffffc',\n  b: 'b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f ' +\n     '5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef',\n  n: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 ' +\n     'f4372ddf 581a0db2 48b0a77a ecec196a ccc52973',\n  hash: hash.sha384,\n  gRed: false,\n  g: [\n    'aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 ' +\n    '5502f25d bf55296c 3a545e38 72760ab7',\n    '3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 ' +\n    '0a60b1ce 1d7e819d 7a431d7c 90ea0e5f'\n  ]\n});\n\ndefineCurve('p521', {\n  type: 'short',\n  prime: null,\n  p: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff',\n  a: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff ffffffff ffffffff fffffffc',\n  b: '00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b ' +\n     '99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd ' +\n     '3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00',\n  n: '000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ' +\n     'ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 ' +\n     'f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409',\n  hash: hash.sha512,\n  gRed: false,\n  g: [\n    '000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 ' +\n    '053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 ' +\n    'a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66',\n    '00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 ' +\n    '579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 ' +\n    '3fad0761 353c7086 a272c240 88be9476 9fd16650'\n  ]\n});\n\ndefineCurve('curve25519', {\n  type: 'mont',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '76d06',\n  b: '1',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '9'\n  ]\n});\n\ndefineCurve('ed25519', {\n  type: 'edwards',\n  prime: 'p25519',\n  p: '7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed',\n  a: '-1',\n  c: '1',\n  // -121665 * (121666^(-1)) (mod P)\n  d: '52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3',\n  n: '1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed',\n  hash: hash.sha256,\n  gRed: false,\n  g: [\n    '216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a',\n\n    // 4/5\n    '6666666666666666666666666666666666666666666666666666666666666658'\n  ]\n});\n\nvar pre;\ntry {\n  pre = require('./precomputed/secp256k1');\n} catch (e) {\n  pre = undefined;\n}\n\ndefineCurve('secp256k1', {\n  type: 'short',\n  prime: 'k256',\n  p: 'ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f',\n  a: '0',\n  b: '7',\n  n: 'ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c d0364141',\n  h: '1',\n  hash: hash.sha256,\n\n  // Precomputed endomorphism\n  beta: '7ae96a2b657c07106e64479eac3434e99cf0497512f58995c1396c28719501ee',\n  lambda: '5363ad4cc05c30e0a5261c028812645a122e22ea20816678df02967c1b23bd72',\n  basis: [\n    {\n      a: '3086d221a7d46bcde86c90e49284eb15',\n      b: '-e4437ed6010e88286f547fa90abfe4c3'\n    },\n    {\n      a: '114ca50f7a8e2f3f657c1108d9d44cfd8',\n      b: '3086d221a7d46bcde86c90e49284eb15'\n    }\n  ],\n\n  gRed: false,\n  g: [\n    '79be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798',\n    '483ada7726a3c4655da4fbfc0e1108a8fd17b448a68554199c47d08ffb10d4b8',\n    pre\n  ]\n});\n","'use strict';\n\nvar hash = require('hash.js');\nvar utils = require('minimalistic-crypto-utils');\nvar assert = require('minimalistic-assert');\n\nfunction HmacDRBG(options) {\n  if (!(this instanceof HmacDRBG))\n    return new HmacDRBG(options);\n  this.hash = options.hash;\n  this.predResist = !!options.predResist;\n\n  this.outLen = this.hash.outSize;\n  this.minEntropy = options.minEntropy || this.hash.hmacStrength;\n\n  this._reseed = null;\n  this.reseedInterval = null;\n  this.K = null;\n  this.V = null;\n\n  var entropy = utils.toArray(options.entropy, options.entropyEnc || 'hex');\n  var nonce = utils.toArray(options.nonce, options.nonceEnc || 'hex');\n  var pers = utils.toArray(options.pers, options.persEnc || 'hex');\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n  this._init(entropy, nonce, pers);\n}\nmodule.exports = HmacDRBG;\n\nHmacDRBG.prototype._init = function init(entropy, nonce, pers) {\n  var seed = entropy.concat(nonce).concat(pers);\n\n  this.K = new Array(this.outLen / 8);\n  this.V = new Array(this.outLen / 8);\n  for (var i = 0; i < this.V.length; i++) {\n    this.K[i] = 0x00;\n    this.V[i] = 0x01;\n  }\n\n  this._update(seed);\n  this._reseed = 1;\n  this.reseedInterval = 0x1000000000000;  // 2^48\n};\n\nHmacDRBG.prototype._hmac = function hmac() {\n  return new hash.hmac(this.hash, this.K);\n};\n\nHmacDRBG.prototype._update = function update(seed) {\n  var kmac = this._hmac()\n                 .update(this.V)\n                 .update([ 0x00 ]);\n  if (seed)\n    kmac = kmac.update(seed);\n  this.K = kmac.digest();\n  this.V = this._hmac().update(this.V).digest();\n  if (!seed)\n    return;\n\n  this.K = this._hmac()\n               .update(this.V)\n               .update([ 0x01 ])\n               .update(seed)\n               .digest();\n  this.V = this._hmac().update(this.V).digest();\n};\n\nHmacDRBG.prototype.reseed = function reseed(entropy, entropyEnc, add, addEnc) {\n  // Optional entropy enc\n  if (typeof entropyEnc !== 'string') {\n    addEnc = add;\n    add = entropyEnc;\n    entropyEnc = null;\n  }\n\n  entropy = utils.toArray(entropy, entropyEnc);\n  add = utils.toArray(add, addEnc);\n\n  assert(entropy.length >= (this.minEntropy / 8),\n         'Not enough entropy. Minimum is: ' + this.minEntropy + ' bits');\n\n  this._update(entropy.concat(add || []));\n  this._reseed = 1;\n};\n\nHmacDRBG.prototype.generate = function generate(len, enc, add, addEnc) {\n  if (this._reseed > this.reseedInterval)\n    throw new Error('Reseed is required');\n\n  // Optional encoding\n  if (typeof enc !== 'string') {\n    addEnc = add;\n    add = enc;\n    enc = null;\n  }\n\n  // Optional additional data\n  if (add) {\n    add = utils.toArray(add, addEnc || 'hex');\n    this._update(add);\n  }\n\n  var temp = [];\n  while (temp.length < len) {\n    this.V = this._hmac().update(this.V).digest();\n    temp = temp.concat(this.V);\n  }\n\n  var res = temp.slice(0, len);\n  this._update(add);\n  this._reseed++;\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction KeyPair(ec, options) {\n  this.ec = ec;\n  this.priv = null;\n  this.pub = null;\n\n  // KeyPair(ec, { priv: ..., pub: ... })\n  if (options.priv)\n    this._importPrivate(options.priv, options.privEnc);\n  if (options.pub)\n    this._importPublic(options.pub, options.pubEnc);\n}\nmodule.exports = KeyPair;\n\nKeyPair.fromPublic = function fromPublic(ec, pub, enc) {\n  if (pub instanceof KeyPair)\n    return pub;\n\n  return new KeyPair(ec, {\n    pub: pub,\n    pubEnc: enc\n  });\n};\n\nKeyPair.fromPrivate = function fromPrivate(ec, priv, enc) {\n  if (priv instanceof KeyPair)\n    return priv;\n\n  return new KeyPair(ec, {\n    priv: priv,\n    privEnc: enc\n  });\n};\n\nKeyPair.prototype.validate = function validate() {\n  var pub = this.getPublic();\n\n  if (pub.isInfinity())\n    return { result: false, reason: 'Invalid public key' };\n  if (!pub.validate())\n    return { result: false, reason: 'Public key is not a point' };\n  if (!pub.mul(this.ec.curve.n).isInfinity())\n    return { result: false, reason: 'Public key * N != O' };\n\n  return { result: true, reason: null };\n};\n\nKeyPair.prototype.getPublic = function getPublic(compact, enc) {\n  // compact is optional argument\n  if (typeof compact === 'string') {\n    enc = compact;\n    compact = null;\n  }\n\n  if (!this.pub)\n    this.pub = this.ec.g.mul(this.priv);\n\n  if (!enc)\n    return this.pub;\n\n  return this.pub.encode(enc, compact);\n};\n\nKeyPair.prototype.getPrivate = function getPrivate(enc) {\n  if (enc === 'hex')\n    return this.priv.toString(16, 2);\n  else\n    return this.priv;\n};\n\nKeyPair.prototype._importPrivate = function _importPrivate(key, enc) {\n  this.priv = new BN(key, enc || 16);\n\n  // Ensure that the priv won't be bigger than n, otherwise we may fail\n  // in fixed multiplication method\n  this.priv = this.priv.umod(this.ec.curve.n);\n};\n\nKeyPair.prototype._importPublic = function _importPublic(key, enc) {\n  if (key.x || key.y) {\n    // Montgomery points only have an `x` coordinate.\n    // Weierstrass/Edwards points on the other hand have both `x` and\n    // `y` coordinates.\n    if (this.ec.curve.type === 'mont') {\n      assert(key.x, 'Need x coordinate');\n    } else if (this.ec.curve.type === 'short' ||\n               this.ec.curve.type === 'edwards') {\n      assert(key.x && key.y, 'Need both x and y coordinate');\n    }\n    this.pub = this.ec.curve.point(key.x, key.y);\n    return;\n  }\n  this.pub = this.ec.curve.decodePoint(key, enc);\n};\n\n// ECDH\nKeyPair.prototype.derive = function derive(pub) {\n  return pub.mul(this.priv).getX();\n};\n\n// ECDSA\nKeyPair.prototype.sign = function sign(msg, enc, options) {\n  return this.ec.sign(msg, this, enc, options);\n};\n\nKeyPair.prototype.verify = function verify(msg, signature) {\n  return this.ec.verify(msg, signature, this);\n};\n\nKeyPair.prototype.inspect = function inspect() {\n  return '<Key priv: ' + (this.priv && this.priv.toString(16, 2)) +\n         ' pub: ' + (this.pub && this.pub.inspect()) + ' >';\n};\n","'use strict';\n\nvar BN = require('bn.js');\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nfunction Signature(options, enc) {\n  if (options instanceof Signature)\n    return options;\n\n  if (this._importDER(options, enc))\n    return;\n\n  assert(options.r && options.s, 'Signature without r or s');\n  this.r = new BN(options.r, 16);\n  this.s = new BN(options.s, 16);\n  if (options.recoveryParam === undefined)\n    this.recoveryParam = null;\n  else\n    this.recoveryParam = options.recoveryParam;\n}\nmodule.exports = Signature;\n\nfunction Position() {\n  this.place = 0;\n}\n\nfunction getLength(buf, p) {\n  var initial = buf[p.place++];\n  if (!(initial & 0x80)) {\n    return initial;\n  }\n  var octetLen = initial & 0xf;\n  var val = 0;\n  for (var i = 0, off = p.place; i < octetLen; i++, off++) {\n    val <<= 8;\n    val |= buf[off];\n  }\n  p.place = off;\n  return val;\n}\n\nfunction rmPadding(buf) {\n  var i = 0;\n  var len = buf.length - 1;\n  while (!buf[i] && !(buf[i + 1] & 0x80) && i < len) {\n    i++;\n  }\n  if (i === 0) {\n    return buf;\n  }\n  return buf.slice(i);\n}\n\nSignature.prototype._importDER = function _importDER(data, enc) {\n  data = utils.toArray(data, enc);\n  var p = new Position();\n  if (data[p.place++] !== 0x30) {\n    return false;\n  }\n  var len = getLength(data, p);\n  if ((len + p.place) !== data.length) {\n    return false;\n  }\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var rlen = getLength(data, p);\n  var r = data.slice(p.place, rlen + p.place);\n  p.place += rlen;\n  if (data[p.place++] !== 0x02) {\n    return false;\n  }\n  var slen = getLength(data, p);\n  if (data.length !== slen + p.place) {\n    return false;\n  }\n  var s = data.slice(p.place, slen + p.place);\n  if (r[0] === 0 && (r[1] & 0x80)) {\n    r = r.slice(1);\n  }\n  if (s[0] === 0 && (s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n\n  this.r = new BN(r);\n  this.s = new BN(s);\n  this.recoveryParam = null;\n\n  return true;\n};\n\nfunction constructLength(arr, len) {\n  if (len < 0x80) {\n    arr.push(len);\n    return;\n  }\n  var octets = 1 + (Math.log(len) / Math.LN2 >>> 3);\n  arr.push(octets | 0x80);\n  while (--octets) {\n    arr.push((len >>> (octets << 3)) & 0xff);\n  }\n  arr.push(len);\n}\n\nSignature.prototype.toDER = function toDER(enc) {\n  var r = this.r.toArray();\n  var s = this.s.toArray();\n\n  // Pad values\n  if (r[0] & 0x80)\n    r = [ 0 ].concat(r);\n  // Pad values\n  if (s[0] & 0x80)\n    s = [ 0 ].concat(s);\n\n  r = rmPadding(r);\n  s = rmPadding(s);\n\n  while (!s[0] && !(s[1] & 0x80)) {\n    s = s.slice(1);\n  }\n  var arr = [ 0x02 ];\n  constructLength(arr, r.length);\n  arr = arr.concat(r);\n  arr.push(0x02);\n  constructLength(arr, s.length);\n  var backHalf = arr.concat(s);\n  var res = [ 0x30 ];\n  constructLength(res, backHalf.length);\n  res = res.concat(backHalf);\n  return utils.encode(res, enc);\n};\n","'use strict';\n\nvar BN = require('bn.js');\nvar HmacDRBG = require('hmac-drbg');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\n\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EC(options) {\n  if (!(this instanceof EC))\n    return new EC(options);\n\n  // Shortcut `elliptic.ec(curve-name)`\n  if (typeof options === 'string') {\n    assert(elliptic.curves.hasOwnProperty(options), 'Unknown curve ' + options);\n\n    options = elliptic.curves[options];\n  }\n\n  // Shortcut for `elliptic.ec(elliptic.curves.curveName)`\n  if (options instanceof elliptic.curves.PresetCurve)\n    options = { curve: options };\n\n  this.curve = options.curve.curve;\n  this.n = this.curve.n;\n  this.nh = this.n.ushrn(1);\n  this.g = this.curve.g;\n\n  // Point on curve\n  this.g = options.curve.g;\n  this.g.precompute(options.curve.n.bitLength() + 1);\n\n  // Hash for function for DRBG\n  this.hash = options.hash || options.curve.hash;\n}\nmodule.exports = EC;\n\nEC.prototype.keyPair = function keyPair(options) {\n  return new KeyPair(this, options);\n};\n\nEC.prototype.keyFromPrivate = function keyFromPrivate(priv, enc) {\n  return KeyPair.fromPrivate(this, priv, enc);\n};\n\nEC.prototype.keyFromPublic = function keyFromPublic(pub, enc) {\n  return KeyPair.fromPublic(this, pub, enc);\n};\n\nEC.prototype.genKeyPair = function genKeyPair(options) {\n  if (!options)\n    options = {};\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8',\n    entropy: options.entropy || elliptic.rand(this.hash.hmacStrength),\n    entropyEnc: options.entropy && options.entropyEnc || 'utf8',\n    nonce: this.n.toArray()\n  });\n\n  var bytes = this.n.byteLength();\n  var ns2 = this.n.sub(new BN(2));\n  do {\n    var priv = new BN(drbg.generate(bytes));\n    if (priv.cmp(ns2) > 0)\n      continue;\n\n    priv.iaddn(1);\n    return this.keyFromPrivate(priv);\n  } while (true);\n};\n\nEC.prototype._truncateToN = function truncateToN(msg, truncOnly) {\n  var delta = msg.byteLength() * 8 - this.n.bitLength();\n  if (delta > 0)\n    msg = msg.ushrn(delta);\n  if (!truncOnly && msg.cmp(this.n) >= 0)\n    return msg.sub(this.n);\n  else\n    return msg;\n};\n\nEC.prototype.sign = function sign(msg, key, enc, options) {\n  if (typeof enc === 'object') {\n    options = enc;\n    enc = null;\n  }\n  if (!options)\n    options = {};\n\n  key = this.keyFromPrivate(key, enc);\n  msg = this._truncateToN(new BN(msg, 16));\n\n  // Zero-extend key to provide enough entropy\n  var bytes = this.n.byteLength();\n  var bkey = key.getPrivate().toArray('be', bytes);\n\n  // Zero-extend nonce to have the same byte size as N\n  var nonce = msg.toArray('be', bytes);\n\n  // Instantiate Hmac_DRBG\n  var drbg = new HmacDRBG({\n    hash: this.hash,\n    entropy: bkey,\n    nonce: nonce,\n    pers: options.pers,\n    persEnc: options.persEnc || 'utf8'\n  });\n\n  // Number of bytes to generate\n  var ns1 = this.n.sub(new BN(1));\n\n  for (var iter = 0; true; iter++) {\n    var k = options.k ?\n        options.k(iter) :\n        new BN(drbg.generate(this.n.byteLength()));\n    k = this._truncateToN(k, true);\n    if (k.cmpn(1) <= 0 || k.cmp(ns1) >= 0)\n      continue;\n\n    var kp = this.g.mul(k);\n    if (kp.isInfinity())\n      continue;\n\n    var kpX = kp.getX();\n    var r = kpX.umod(this.n);\n    if (r.cmpn(0) === 0)\n      continue;\n\n    var s = k.invm(this.n).mul(r.mul(key.getPrivate()).iadd(msg));\n    s = s.umod(this.n);\n    if (s.cmpn(0) === 0)\n      continue;\n\n    var recoveryParam = (kp.getY().isOdd() ? 1 : 0) |\n                        (kpX.cmp(r) !== 0 ? 2 : 0);\n\n    // Use complement of `s`, if it is > `n / 2`\n    if (options.canonical && s.cmp(this.nh) > 0) {\n      s = this.n.sub(s);\n      recoveryParam ^= 1;\n    }\n\n    return new Signature({ r: r, s: s, recoveryParam: recoveryParam });\n  }\n};\n\nEC.prototype.verify = function verify(msg, signature, key, enc) {\n  msg = this._truncateToN(new BN(msg, 16));\n  key = this.keyFromPublic(key, enc);\n  signature = new Signature(signature, 'hex');\n\n  // Perform primitive values validation\n  var r = signature.r;\n  var s = signature.s;\n  if (r.cmpn(1) < 0 || r.cmp(this.n) >= 0)\n    return false;\n  if (s.cmpn(1) < 0 || s.cmp(this.n) >= 0)\n    return false;\n\n  // Validate signature\n  var sinv = s.invm(this.n);\n  var u1 = sinv.mul(msg).umod(this.n);\n  var u2 = sinv.mul(r).umod(this.n);\n\n  if (!this.curve._maxwellTrick) {\n    var p = this.g.mulAdd(u1, key.getPublic(), u2);\n    if (p.isInfinity())\n      return false;\n\n    return p.getX().umod(this.n).cmp(r) === 0;\n  }\n\n  // NOTE: Greg Maxwell's trick, inspired by:\n  // https://git.io/vad3K\n\n  var p = this.g.jmulAdd(u1, key.getPublic(), u2);\n  if (p.isInfinity())\n    return false;\n\n  // Compare `p.x` of Jacobian point with `r`,\n  // this will do `p.x == r * p.z^2` instead of multiplying `p.x` by the\n  // inverse of `p.z^2`\n  return p.eqXToP(r);\n};\n\nEC.prototype.recoverPubKey = function(msg, signature, j, enc) {\n  assert((3 & j) === j, 'The recovery param is more than two bits');\n  signature = new Signature(signature, enc);\n\n  var n = this.n;\n  var e = new BN(msg);\n  var r = signature.r;\n  var s = signature.s;\n\n  // A set LSB signifies that the y-coordinate is odd\n  var isYOdd = j & 1;\n  var isSecondKey = j >> 1;\n  if (r.cmp(this.curve.p.umod(this.curve.n)) >= 0 && isSecondKey)\n    throw new Error('Unable to find sencond key candinate');\n\n  // 1.1. Let x = r + jn.\n  if (isSecondKey)\n    r = this.curve.pointFromX(r.add(this.curve.n), isYOdd);\n  else\n    r = this.curve.pointFromX(r, isYOdd);\n\n  var rInv = signature.r.invm(n);\n  var s1 = n.sub(e).mul(rInv).umod(n);\n  var s2 = s.mul(rInv).umod(n);\n\n  // 1.6.1 Compute Q = r^-1 (sR -  eG)\n  //               Q = r^-1 (sR + -eG)\n  return this.g.mulAdd(s1, r, s2);\n};\n\nEC.prototype.getKeyRecoveryParam = function(e, signature, Q, enc) {\n  signature = new Signature(signature, enc);\n  if (signature.recoveryParam !== null)\n    return signature.recoveryParam;\n\n  for (var i = 0; i < 4; i++) {\n    var Qprime;\n    try {\n      Qprime = this.recoverPubKey(e, signature, i);\n    } catch (e) {\n      continue;\n    }\n\n    if (Qprime.eq(Q))\n      return i;\n  }\n  throw new Error('Unable to find valid recovery factor');\n};\n","'use strict';\n\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar cachedProperty = utils.cachedProperty;\n\n/**\n* @param {EDDSA} eddsa - instance\n* @param {Object} params - public/private key parameters\n*\n* @param {Array<Byte>} [params.secret] - secret seed bytes\n* @param {Point} [params.pub] - public key point (aka `A` in eddsa terms)\n* @param {Array<Byte>} [params.pub] - public key point encoded as bytes\n*\n*/\nfunction KeyPair(eddsa, params) {\n  this.eddsa = eddsa;\n  this._secret = parseBytes(params.secret);\n  if (eddsa.isPoint(params.pub))\n    this._pub = params.pub;\n  else\n    this._pubBytes = parseBytes(params.pub);\n}\n\nKeyPair.fromPublic = function fromPublic(eddsa, pub) {\n  if (pub instanceof KeyPair)\n    return pub;\n  return new KeyPair(eddsa, { pub: pub });\n};\n\nKeyPair.fromSecret = function fromSecret(eddsa, secret) {\n  if (secret instanceof KeyPair)\n    return secret;\n  return new KeyPair(eddsa, { secret: secret });\n};\n\nKeyPair.prototype.secret = function secret() {\n  return this._secret;\n};\n\ncachedProperty(KeyPair, 'pubBytes', function pubBytes() {\n  return this.eddsa.encodePoint(this.pub());\n});\n\ncachedProperty(KeyPair, 'pub', function pub() {\n  if (this._pubBytes)\n    return this.eddsa.decodePoint(this._pubBytes);\n  return this.eddsa.g.mul(this.priv());\n});\n\ncachedProperty(KeyPair, 'privBytes', function privBytes() {\n  var eddsa = this.eddsa;\n  var hash = this.hash();\n  var lastIx = eddsa.encodingLength - 1;\n\n  var a = hash.slice(0, eddsa.encodingLength);\n  a[0] &= 248;\n  a[lastIx] &= 127;\n  a[lastIx] |= 64;\n\n  return a;\n});\n\ncachedProperty(KeyPair, 'priv', function priv() {\n  return this.eddsa.decodeInt(this.privBytes());\n});\n\ncachedProperty(KeyPair, 'hash', function hash() {\n  return this.eddsa.hash().update(this.secret()).digest();\n});\n\ncachedProperty(KeyPair, 'messagePrefix', function messagePrefix() {\n  return this.hash().slice(this.eddsa.encodingLength);\n});\n\nKeyPair.prototype.sign = function sign(message) {\n  assert(this._secret, 'KeyPair can only verify');\n  return this.eddsa.sign(message, this);\n};\n\nKeyPair.prototype.verify = function verify(message, sig) {\n  return this.eddsa.verify(message, sig, this);\n};\n\nKeyPair.prototype.getSecret = function getSecret(enc) {\n  assert(this._secret, 'KeyPair is public only');\n  return utils.encode(this.secret(), enc);\n};\n\nKeyPair.prototype.getPublic = function getPublic(enc) {\n  return utils.encode(this.pubBytes(), enc);\n};\n\nmodule.exports = KeyPair;\n","'use strict';\n\nvar BN = require('bn.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar cachedProperty = utils.cachedProperty;\nvar parseBytes = utils.parseBytes;\n\n/**\n* @param {EDDSA} eddsa - eddsa instance\n* @param {Array<Bytes>|Object} sig -\n* @param {Array<Bytes>|Point} [sig.R] - R point as Point or bytes\n* @param {Array<Bytes>|bn} [sig.S] - S scalar as bn or bytes\n* @param {Array<Bytes>} [sig.Rencoded] - R point encoded\n* @param {Array<Bytes>} [sig.Sencoded] - S scalar encoded\n*/\nfunction Signature(eddsa, sig) {\n  this.eddsa = eddsa;\n\n  if (typeof sig !== 'object')\n    sig = parseBytes(sig);\n\n  if (Array.isArray(sig)) {\n    sig = {\n      R: sig.slice(0, eddsa.encodingLength),\n      S: sig.slice(eddsa.encodingLength)\n    };\n  }\n\n  assert(sig.R && sig.S, 'Signature without R or S');\n\n  if (eddsa.isPoint(sig.R))\n    this._R = sig.R;\n  if (sig.S instanceof BN)\n    this._S = sig.S;\n\n  this._Rencoded = Array.isArray(sig.R) ? sig.R : sig.Rencoded;\n  this._Sencoded = Array.isArray(sig.S) ? sig.S : sig.Sencoded;\n}\n\ncachedProperty(Signature, 'S', function S() {\n  return this.eddsa.decodeInt(this.Sencoded());\n});\n\ncachedProperty(Signature, 'R', function R() {\n  return this.eddsa.decodePoint(this.Rencoded());\n});\n\ncachedProperty(Signature, 'Rencoded', function Rencoded() {\n  return this.eddsa.encodePoint(this.R());\n});\n\ncachedProperty(Signature, 'Sencoded', function Sencoded() {\n  return this.eddsa.encodeInt(this.S());\n});\n\nSignature.prototype.toBytes = function toBytes() {\n  return this.Rencoded().concat(this.Sencoded());\n};\n\nSignature.prototype.toHex = function toHex() {\n  return utils.encode(this.toBytes(), 'hex').toUpperCase();\n};\n\nmodule.exports = Signature;\n","'use strict';\n\nvar hash = require('hash.js');\nvar elliptic = require('../../elliptic');\nvar utils = elliptic.utils;\nvar assert = utils.assert;\nvar parseBytes = utils.parseBytes;\nvar KeyPair = require('./key');\nvar Signature = require('./signature');\n\nfunction EDDSA(curve) {\n  assert(curve === 'ed25519', 'only tested with ed25519 so far');\n\n  if (!(this instanceof EDDSA))\n    return new EDDSA(curve);\n\n  var curve = elliptic.curves[curve].curve;\n  this.curve = curve;\n  this.g = curve.g;\n  this.g.precompute(curve.n.bitLength() + 1);\n\n  this.pointClass = curve.point().constructor;\n  this.encodingLength = Math.ceil(curve.n.bitLength() / 8);\n  this.hash = hash.sha512;\n}\n\nmodule.exports = EDDSA;\n\n/**\n* @param {Array|String} message - message bytes\n* @param {Array|String|KeyPair} secret - secret bytes or a keypair\n* @returns {Signature} - signature\n*/\nEDDSA.prototype.sign = function sign(message, secret) {\n  message = parseBytes(message);\n  var key = this.keyFromSecret(secret);\n  var r = this.hashInt(key.messagePrefix(), message);\n  var R = this.g.mul(r);\n  var Rencoded = this.encodePoint(R);\n  var s_ = this.hashInt(Rencoded, key.pubBytes(), message)\n               .mul(key.priv());\n  var S = r.add(s_).umod(this.curve.n);\n  return this.makeSignature({ R: R, S: S, Rencoded: Rencoded });\n};\n\n/**\n* @param {Array} message - message bytes\n* @param {Array|String|Signature} sig - sig bytes\n* @param {Array|String|Point|KeyPair} pub - public key\n* @returns {Boolean} - true if public key matches sig of message\n*/\nEDDSA.prototype.verify = function verify(message, sig, pub) {\n  message = parseBytes(message);\n  sig = this.makeSignature(sig);\n  var key = this.keyFromPublic(pub);\n  var h = this.hashInt(sig.Rencoded(), key.pubBytes(), message);\n  var SG = this.g.mul(sig.S());\n  var RplusAh = sig.R().add(key.pub().mul(h));\n  return RplusAh.eq(SG);\n};\n\nEDDSA.prototype.hashInt = function hashInt() {\n  var hash = this.hash();\n  for (var i = 0; i < arguments.length; i++)\n    hash.update(arguments[i]);\n  return utils.intFromLE(hash.digest()).umod(this.curve.n);\n};\n\nEDDSA.prototype.keyFromPublic = function keyFromPublic(pub) {\n  return KeyPair.fromPublic(this, pub);\n};\n\nEDDSA.prototype.keyFromSecret = function keyFromSecret(secret) {\n  return KeyPair.fromSecret(this, secret);\n};\n\nEDDSA.prototype.makeSignature = function makeSignature(sig) {\n  if (sig instanceof Signature)\n    return sig;\n  return new Signature(this, sig);\n};\n\n/**\n* * https://tools.ietf.org/html/draft-josefsson-eddsa-ed25519-03#section-5.2\n*\n* EDDSA defines methods for encoding and decoding points and integers. These are\n* helper convenience methods, that pass along to utility functions implied\n* parameters.\n*\n*/\nEDDSA.prototype.encodePoint = function encodePoint(point) {\n  var enc = point.getY().toArray('le', this.encodingLength);\n  enc[this.encodingLength - 1] |= point.getX().isOdd() ? 0x80 : 0;\n  return enc;\n};\n\nEDDSA.prototype.decodePoint = function decodePoint(bytes) {\n  bytes = utils.parseBytes(bytes);\n\n  var lastIx = bytes.length - 1;\n  var normed = bytes.slice(0, lastIx).concat(bytes[lastIx] & ~0x80);\n  var xIsOdd = (bytes[lastIx] & 0x80) !== 0;\n\n  var y = utils.intFromLE(normed);\n  return this.curve.pointFromY(y, xIsOdd);\n};\n\nEDDSA.prototype.encodeInt = function encodeInt(num) {\n  return num.toArray('le', this.encodingLength);\n};\n\nEDDSA.prototype.decodeInt = function decodeInt(bytes) {\n  return utils.intFromLE(bytes);\n};\n\nEDDSA.prototype.isPoint = function isPoint(val) {\n  return val instanceof this.pointClass;\n};\n","'use strict';\n\nvar elliptic = exports;\n\nelliptic.version = require('../package.json').version;\nelliptic.utils = require('./elliptic/utils');\nelliptic.rand = require('brorand');\nelliptic.curve = require('./elliptic/curve');\nelliptic.curves = require('./elliptic/curves');\n\n// Protocols\nelliptic.ec = require('./elliptic/ec');\nelliptic.eddsa = require('./elliptic/eddsa');\n","\nvar indexOf = [].indexOf;\n\nmodule.exports = function(arr, obj){\n  if (indexOf) return arr.indexOf(obj);\n  for (var i = 0; i < arr.length; ++i) {\n    if (arr[i] === obj) return i;\n  }\n  return -1;\n};","var indexOf = require('indexof');\n\nvar Object_keys = function (obj) {\n    if (Object.keys) return Object.keys(obj)\n    else {\n        var res = [];\n        for (var key in obj) res.push(key)\n        return res;\n    }\n};\n\nvar forEach = function (xs, fn) {\n    if (xs.forEach) return xs.forEach(fn)\n    else for (var i = 0; i < xs.length; i++) {\n        fn(xs[i], i, xs);\n    }\n};\n\nvar defineProp = (function() {\n    try {\n        Object.defineProperty({}, '_', {});\n        return function(obj, name, value) {\n            Object.defineProperty(obj, name, {\n                writable: true,\n                enumerable: false,\n                configurable: true,\n                value: value\n            })\n        };\n    } catch(e) {\n        return function(obj, name, value) {\n            obj[name] = value;\n        };\n    }\n}());\n\nvar globals = ['Array', 'Boolean', 'Date', 'Error', 'EvalError', 'Function',\n'Infinity', 'JSON', 'Math', 'NaN', 'Number', 'Object', 'RangeError',\n'ReferenceError', 'RegExp', 'String', 'SyntaxError', 'TypeError', 'URIError',\n'decodeURI', 'decodeURIComponent', 'encodeURI', 'encodeURIComponent', 'escape',\n'eval', 'isFinite', 'isNaN', 'parseFloat', 'parseInt', 'undefined', 'unescape'];\n\nfunction Context() {}\nContext.prototype = {};\n\nvar Script = exports.Script = function NodeScript (code) {\n    if (!(this instanceof Script)) return new Script(code);\n    this.code = code;\n};\n\nScript.prototype.runInContext = function (context) {\n    if (!(context instanceof Context)) {\n        throw new TypeError(\"needs a 'context' argument.\");\n    }\n    \n    var iframe = document.createElement('iframe');\n    if (!iframe.style) iframe.style = {};\n    iframe.style.display = 'none';\n    \n    document.body.appendChild(iframe);\n    \n    var win = iframe.contentWindow;\n    var wEval = win.eval, wExecScript = win.execScript;\n\n    if (!wEval && wExecScript) {\n        // win.eval() magically appears when this is called in IE:\n        wExecScript.call(win, 'null');\n        wEval = win.eval;\n    }\n    \n    forEach(Object_keys(context), function (key) {\n        win[key] = context[key];\n    });\n    forEach(globals, function (key) {\n        if (context[key]) {\n            win[key] = context[key];\n        }\n    });\n    \n    var winKeys = Object_keys(win);\n\n    var res = wEval.call(win, this.code);\n    \n    forEach(Object_keys(win), function (key) {\n        // Avoid copying circular objects like `top` and `window` by only\n        // updating existing context properties or new properties in the `win`\n        // that was only introduced after the eval.\n        if (key in context || indexOf(winKeys, key) === -1) {\n            context[key] = win[key];\n        }\n    });\n\n    forEach(globals, function (key) {\n        if (!(key in context)) {\n            defineProp(context, key, win[key]);\n        }\n    });\n    \n    document.body.removeChild(iframe);\n    \n    return res;\n};\n\nScript.prototype.runInThisContext = function () {\n    return eval(this.code); // maybe...\n};\n\nScript.prototype.runInNewContext = function (context) {\n    var ctx = Script.createContext(context);\n    var res = this.runInContext(ctx);\n\n    forEach(Object_keys(ctx), function (key) {\n        context[key] = ctx[key];\n    });\n\n    return res;\n};\n\nforEach(Object_keys(Script.prototype), function (name) {\n    exports[name] = Script[name] = function (code) {\n        var s = Script(code);\n        return s[name].apply(s, [].slice.call(arguments, 1));\n    };\n});\n\nexports.createScript = function (code) {\n    return exports.Script(code);\n};\n\nexports.createContext = Script.createContext = function (context) {\n    var copy = new Context();\n    if(typeof context === 'object') {\n        forEach(Object_keys(context), function (key) {\n            copy[key] = context[key];\n        });\n    }\n    return copy;\n};\n","var asn1 = require('../asn1');\nvar inherits = require('inherits');\n\nvar api = exports;\n\napi.define = function define(name, body) {\n  return new Entity(name, body);\n};\n\nfunction Entity(name, body) {\n  this.name = name;\n  this.body = body;\n\n  this.decoders = {};\n  this.encoders = {};\n};\n\nEntity.prototype._createNamed = function createNamed(base) {\n  var named;\n  try {\n    named = require('vm').runInThisContext(\n      '(function ' + this.name + '(entity) {\\n' +\n      '  this._initNamed(entity);\\n' +\n      '})'\n    );\n  } catch (e) {\n    named = function (entity) {\n      this._initNamed(entity);\n    };\n  }\n  inherits(named, base);\n  named.prototype._initNamed = function initnamed(entity) {\n    base.call(this, entity);\n  };\n\n  return new named(this);\n};\n\nEntity.prototype._getDecoder = function _getDecoder(enc) {\n  enc = enc || 'der';\n  // Lazily create decoder\n  if (!this.decoders.hasOwnProperty(enc))\n    this.decoders[enc] = this._createNamed(asn1.decoders[enc]);\n  return this.decoders[enc];\n};\n\nEntity.prototype.decode = function decode(data, enc, options) {\n  return this._getDecoder(enc).decode(data, options);\n};\n\nEntity.prototype._getEncoder = function _getEncoder(enc) {\n  enc = enc || 'der';\n  // Lazily create encoder\n  if (!this.encoders.hasOwnProperty(enc))\n    this.encoders[enc] = this._createNamed(asn1.encoders[enc]);\n  return this.encoders[enc];\n};\n\nEntity.prototype.encode = function encode(data, enc, /* internal */ reporter) {\n  return this._getEncoder(enc).encode(data, reporter);\n};\n","var inherits = require('inherits');\n\nfunction Reporter(options) {\n  this._reporterState = {\n    obj: null,\n    path: [],\n    options: options || {},\n    errors: []\n  };\n}\nexports.Reporter = Reporter;\n\nReporter.prototype.isError = function isError(obj) {\n  return obj instanceof ReporterError;\n};\n\nReporter.prototype.save = function save() {\n  var state = this._reporterState;\n\n  return { obj: state.obj, pathLen: state.path.length };\n};\n\nReporter.prototype.restore = function restore(data) {\n  var state = this._reporterState;\n\n  state.obj = data.obj;\n  state.path = state.path.slice(0, data.pathLen);\n};\n\nReporter.prototype.enterKey = function enterKey(key) {\n  return this._reporterState.path.push(key);\n};\n\nReporter.prototype.exitKey = function exitKey(index) {\n  var state = this._reporterState;\n\n  state.path = state.path.slice(0, index - 1);\n};\n\nReporter.prototype.leaveKey = function leaveKey(index, key, value) {\n  var state = this._reporterState;\n\n  this.exitKey(index);\n  if (state.obj !== null)\n    state.obj[key] = value;\n};\n\nReporter.prototype.path = function path() {\n  return this._reporterState.path.join('/');\n};\n\nReporter.prototype.enterObject = function enterObject() {\n  var state = this._reporterState;\n\n  var prev = state.obj;\n  state.obj = {};\n  return prev;\n};\n\nReporter.prototype.leaveObject = function leaveObject(prev) {\n  var state = this._reporterState;\n\n  var now = state.obj;\n  state.obj = prev;\n  return now;\n};\n\nReporter.prototype.error = function error(msg) {\n  var err;\n  var state = this._reporterState;\n\n  var inherited = msg instanceof ReporterError;\n  if (inherited) {\n    err = msg;\n  } else {\n    err = new ReporterError(state.path.map(function(elem) {\n      return '[' + JSON.stringify(elem) + ']';\n    }).join(''), msg.message || msg, msg.stack);\n  }\n\n  if (!state.options.partial)\n    throw err;\n\n  if (!inherited)\n    state.errors.push(err);\n\n  return err;\n};\n\nReporter.prototype.wrapResult = function wrapResult(result) {\n  var state = this._reporterState;\n  if (!state.options.partial)\n    return result;\n\n  return {\n    result: this.isError(result) ? null : result,\n    errors: state.errors\n  };\n};\n\nfunction ReporterError(path, msg) {\n  this.path = path;\n  this.rethrow(msg);\n};\ninherits(ReporterError, Error);\n\nReporterError.prototype.rethrow = function rethrow(msg) {\n  this.message = msg + ' at: ' + (this.path || '(shallow)');\n  if (Error.captureStackTrace)\n    Error.captureStackTrace(this, ReporterError);\n\n  if (!this.stack) {\n    try {\n      // IE only adds stack when thrown\n      throw new Error(this.message);\n    } catch (e) {\n      this.stack = e.stack;\n    }\n  }\n  return this;\n};\n","var inherits = require('inherits');\nvar Reporter = require('../base').Reporter;\nvar Buffer = require('buffer').Buffer;\n\nfunction DecoderBuffer(base, options) {\n  Reporter.call(this, options);\n  if (!Buffer.isBuffer(base)) {\n    this.error('Input not Buffer');\n    return;\n  }\n\n  this.base = base;\n  this.offset = 0;\n  this.length = base.length;\n}\ninherits(DecoderBuffer, Reporter);\nexports.DecoderBuffer = DecoderBuffer;\n\nDecoderBuffer.prototype.save = function save() {\n  return { offset: this.offset, reporter: Reporter.prototype.save.call(this) };\n};\n\nDecoderBuffer.prototype.restore = function restore(save) {\n  // Return skipped data\n  var res = new DecoderBuffer(this.base);\n  res.offset = save.offset;\n  res.length = this.offset;\n\n  this.offset = save.offset;\n  Reporter.prototype.restore.call(this, save.reporter);\n\n  return res;\n};\n\nDecoderBuffer.prototype.isEmpty = function isEmpty() {\n  return this.offset === this.length;\n};\n\nDecoderBuffer.prototype.readUInt8 = function readUInt8(fail) {\n  if (this.offset + 1 <= this.length)\n    return this.base.readUInt8(this.offset++, true);\n  else\n    return this.error(fail || 'DecoderBuffer overrun');\n}\n\nDecoderBuffer.prototype.skip = function skip(bytes, fail) {\n  if (!(this.offset + bytes <= this.length))\n    return this.error(fail || 'DecoderBuffer overrun');\n\n  var res = new DecoderBuffer(this.base);\n\n  // Share reporter state\n  res._reporterState = this._reporterState;\n\n  res.offset = this.offset;\n  res.length = this.offset + bytes;\n  this.offset += bytes;\n  return res;\n}\n\nDecoderBuffer.prototype.raw = function raw(save) {\n  return this.base.slice(save ? save.offset : this.offset, this.length);\n}\n\nfunction EncoderBuffer(value, reporter) {\n  if (Array.isArray(value)) {\n    this.length = 0;\n    this.value = value.map(function(item) {\n      if (!(item instanceof EncoderBuffer))\n        item = new EncoderBuffer(item, reporter);\n      this.length += item.length;\n      return item;\n    }, this);\n  } else if (typeof value === 'number') {\n    if (!(0 <= value && value <= 0xff))\n      return reporter.error('non-byte EncoderBuffer value');\n    this.value = value;\n    this.length = 1;\n  } else if (typeof value === 'string') {\n    this.value = value;\n    this.length = Buffer.byteLength(value);\n  } else if (Buffer.isBuffer(value)) {\n    this.value = value;\n    this.length = value.length;\n  } else {\n    return reporter.error('Unsupported type: ' + typeof value);\n  }\n}\nexports.EncoderBuffer = EncoderBuffer;\n\nEncoderBuffer.prototype.join = function join(out, offset) {\n  if (!out)\n    out = new Buffer(this.length);\n  if (!offset)\n    offset = 0;\n\n  if (this.length === 0)\n    return out;\n\n  if (Array.isArray(this.value)) {\n    this.value.forEach(function(item) {\n      item.join(out, offset);\n      offset += item.length;\n    });\n  } else {\n    if (typeof this.value === 'number')\n      out[offset] = this.value;\n    else if (typeof this.value === 'string')\n      out.write(this.value, offset);\n    else if (Buffer.isBuffer(this.value))\n      this.value.copy(out, offset);\n    offset += this.length;\n  }\n\n  return out;\n};\n","var Reporter = require('../base').Reporter;\nvar EncoderBuffer = require('../base').EncoderBuffer;\nvar DecoderBuffer = require('../base').DecoderBuffer;\nvar assert = require('minimalistic-assert');\n\n// Supported tags\nvar tags = [\n  'seq', 'seqof', 'set', 'setof', 'objid', 'bool',\n  'gentime', 'utctime', 'null_', 'enum', 'int', 'objDesc',\n  'bitstr', 'bmpstr', 'charstr', 'genstr', 'graphstr', 'ia5str', 'iso646str',\n  'numstr', 'octstr', 'printstr', 't61str', 'unistr', 'utf8str', 'videostr'\n];\n\n// Public methods list\nvar methods = [\n  'key', 'obj', 'use', 'optional', 'explicit', 'implicit', 'def', 'choice',\n  'any', 'contains'\n].concat(tags);\n\n// Overrided methods list\nvar overrided = [\n  '_peekTag', '_decodeTag', '_use',\n  '_decodeStr', '_decodeObjid', '_decodeTime',\n  '_decodeNull', '_decodeInt', '_decodeBool', '_decodeList',\n\n  '_encodeComposite', '_encodeStr', '_encodeObjid', '_encodeTime',\n  '_encodeNull', '_encodeInt', '_encodeBool'\n];\n\nfunction Node(enc, parent) {\n  var state = {};\n  this._baseState = state;\n\n  state.enc = enc;\n\n  state.parent = parent || null;\n  state.children = null;\n\n  // State\n  state.tag = null;\n  state.args = null;\n  state.reverseArgs = null;\n  state.choice = null;\n  state.optional = false;\n  state.any = false;\n  state.obj = false;\n  state.use = null;\n  state.useDecoder = null;\n  state.key = null;\n  state['default'] = null;\n  state.explicit = null;\n  state.implicit = null;\n  state.contains = null;\n\n  // Should create new instance on each method\n  if (!state.parent) {\n    state.children = [];\n    this._wrap();\n  }\n}\nmodule.exports = Node;\n\nvar stateProps = [\n  'enc', 'parent', 'children', 'tag', 'args', 'reverseArgs', 'choice',\n  'optional', 'any', 'obj', 'use', 'alteredUse', 'key', 'default', 'explicit',\n  'implicit', 'contains'\n];\n\nNode.prototype.clone = function clone() {\n  var state = this._baseState;\n  var cstate = {};\n  stateProps.forEach(function(prop) {\n    cstate[prop] = state[prop];\n  });\n  var res = new this.constructor(cstate.parent);\n  res._baseState = cstate;\n  return res;\n};\n\nNode.prototype._wrap = function wrap() {\n  var state = this._baseState;\n  methods.forEach(function(method) {\n    this[method] = function _wrappedMethod() {\n      var clone = new this.constructor(this);\n      state.children.push(clone);\n      return clone[method].apply(clone, arguments);\n    };\n  }, this);\n};\n\nNode.prototype._init = function init(body) {\n  var state = this._baseState;\n\n  assert(state.parent === null);\n  body.call(this);\n\n  // Filter children\n  state.children = state.children.filter(function(child) {\n    return child._baseState.parent === this;\n  }, this);\n  assert.equal(state.children.length, 1, 'Root node can have only one child');\n};\n\nNode.prototype._useArgs = function useArgs(args) {\n  var state = this._baseState;\n\n  // Filter children and args\n  var children = args.filter(function(arg) {\n    return arg instanceof this.constructor;\n  }, this);\n  args = args.filter(function(arg) {\n    return !(arg instanceof this.constructor);\n  }, this);\n\n  if (children.length !== 0) {\n    assert(state.children === null);\n    state.children = children;\n\n    // Replace parent to maintain backward link\n    children.forEach(function(child) {\n      child._baseState.parent = this;\n    }, this);\n  }\n  if (args.length !== 0) {\n    assert(state.args === null);\n    state.args = args;\n    state.reverseArgs = args.map(function(arg) {\n      if (typeof arg !== 'object' || arg.constructor !== Object)\n        return arg;\n\n      var res = {};\n      Object.keys(arg).forEach(function(key) {\n        if (key == (key | 0))\n          key |= 0;\n        var value = arg[key];\n        res[value] = key;\n      });\n      return res;\n    });\n  }\n};\n\n//\n// Overrided methods\n//\n\noverrided.forEach(function(method) {\n  Node.prototype[method] = function _overrided() {\n    var state = this._baseState;\n    throw new Error(method + ' not implemented for encoding: ' + state.enc);\n  };\n});\n\n//\n// Public methods\n//\n\ntags.forEach(function(tag) {\n  Node.prototype[tag] = function _tagMethod() {\n    var state = this._baseState;\n    var args = Array.prototype.slice.call(arguments);\n\n    assert(state.tag === null);\n    state.tag = tag;\n\n    this._useArgs(args);\n\n    return this;\n  };\n});\n\nNode.prototype.use = function use(item) {\n  assert(item);\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.use = item;\n\n  return this;\n};\n\nNode.prototype.optional = function optional() {\n  var state = this._baseState;\n\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.def = function def(val) {\n  var state = this._baseState;\n\n  assert(state['default'] === null);\n  state['default'] = val;\n  state.optional = true;\n\n  return this;\n};\n\nNode.prototype.explicit = function explicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.explicit = num;\n\n  return this;\n};\n\nNode.prototype.implicit = function implicit(num) {\n  var state = this._baseState;\n\n  assert(state.explicit === null && state.implicit === null);\n  state.implicit = num;\n\n  return this;\n};\n\nNode.prototype.obj = function obj() {\n  var state = this._baseState;\n  var args = Array.prototype.slice.call(arguments);\n\n  state.obj = true;\n\n  if (args.length !== 0)\n    this._useArgs(args);\n\n  return this;\n};\n\nNode.prototype.key = function key(newKey) {\n  var state = this._baseState;\n\n  assert(state.key === null);\n  state.key = newKey;\n\n  return this;\n};\n\nNode.prototype.any = function any() {\n  var state = this._baseState;\n\n  state.any = true;\n\n  return this;\n};\n\nNode.prototype.choice = function choice(obj) {\n  var state = this._baseState;\n\n  assert(state.choice === null);\n  state.choice = obj;\n  this._useArgs(Object.keys(obj).map(function(key) {\n    return obj[key];\n  }));\n\n  return this;\n};\n\nNode.prototype.contains = function contains(item) {\n  var state = this._baseState;\n\n  assert(state.use === null);\n  state.contains = item;\n\n  return this;\n};\n\n//\n// Decoding\n//\n\nNode.prototype._decode = function decode(input, options) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return input.wrapResult(state.children[0]._decode(input, options));\n\n  var result = state['default'];\n  var present = true;\n\n  var prevKey = null;\n  if (state.key !== null)\n    prevKey = input.enterKey(state.key);\n\n  // Check if tag is there\n  if (state.optional) {\n    var tag = null;\n    if (state.explicit !== null)\n      tag = state.explicit;\n    else if (state.implicit !== null)\n      tag = state.implicit;\n    else if (state.tag !== null)\n      tag = state.tag;\n\n    if (tag === null && !state.any) {\n      // Trial and Error\n      var save = input.save();\n      try {\n        if (state.choice === null)\n          this._decodeGeneric(state.tag, input, options);\n        else\n          this._decodeChoice(input, options);\n        present = true;\n      } catch (e) {\n        present = false;\n      }\n      input.restore(save);\n    } else {\n      present = this._peekTag(input, tag, state.any);\n\n      if (input.isError(present))\n        return present;\n    }\n  }\n\n  // Push object on stack\n  var prevObj;\n  if (state.obj && present)\n    prevObj = input.enterObject();\n\n  if (present) {\n    // Unwrap explicit values\n    if (state.explicit !== null) {\n      var explicit = this._decodeTag(input, state.explicit);\n      if (input.isError(explicit))\n        return explicit;\n      input = explicit;\n    }\n\n    var start = input.offset;\n\n    // Unwrap implicit and normal values\n    if (state.use === null && state.choice === null) {\n      if (state.any)\n        var save = input.save();\n      var body = this._decodeTag(\n        input,\n        state.implicit !== null ? state.implicit : state.tag,\n        state.any\n      );\n      if (input.isError(body))\n        return body;\n\n      if (state.any)\n        result = input.raw(save);\n      else\n        input = body;\n    }\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), start, input.length, 'tagged');\n\n    if (options && options.track && state.tag !== null)\n      options.track(input.path(), input.offset, input.length, 'content');\n\n    // Select proper method for tag\n    if (state.any)\n      result = result;\n    else if (state.choice === null)\n      result = this._decodeGeneric(state.tag, input, options);\n    else\n      result = this._decodeChoice(input, options);\n\n    if (input.isError(result))\n      return result;\n\n    // Decode children\n    if (!state.any && state.choice === null && state.children !== null) {\n      state.children.forEach(function decodeChildren(child) {\n        // NOTE: We are ignoring errors here, to let parser continue with other\n        // parts of encoded data\n        child._decode(input, options);\n      });\n    }\n\n    // Decode contained/encoded by schema, only in bit or octet strings\n    if (state.contains && (state.tag === 'octstr' || state.tag === 'bitstr')) {\n      var data = new DecoderBuffer(result);\n      result = this._getUse(state.contains, input._reporterState.obj)\n          ._decode(data, options);\n    }\n  }\n\n  // Pop object\n  if (state.obj && present)\n    result = input.leaveObject(prevObj);\n\n  // Set key\n  if (state.key !== null && (result !== null || present === true))\n    input.leaveKey(prevKey, state.key, result);\n  else if (prevKey !== null)\n    input.exitKey(prevKey);\n\n  return result;\n};\n\nNode.prototype._decodeGeneric = function decodeGeneric(tag, input, options) {\n  var state = this._baseState;\n\n  if (tag === 'seq' || tag === 'set')\n    return null;\n  if (tag === 'seqof' || tag === 'setof')\n    return this._decodeList(input, tag, state.args[0], options);\n  else if (/str$/.test(tag))\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'objid' && state.args)\n    return this._decodeObjid(input, state.args[0], state.args[1], options);\n  else if (tag === 'objid')\n    return this._decodeObjid(input, null, null, options);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._decodeTime(input, tag, options);\n  else if (tag === 'null_')\n    return this._decodeNull(input, options);\n  else if (tag === 'bool')\n    return this._decodeBool(input, options);\n  else if (tag === 'objDesc')\n    return this._decodeStr(input, tag, options);\n  else if (tag === 'int' || tag === 'enum')\n    return this._decodeInt(input, state.args && state.args[0], options);\n\n  if (state.use !== null) {\n    return this._getUse(state.use, input._reporterState.obj)\n        ._decode(input, options);\n  } else {\n    return input.error('unknown tag: ' + tag);\n  }\n};\n\nNode.prototype._getUse = function _getUse(entity, obj) {\n\n  var state = this._baseState;\n  // Create altered use decoder if implicit is set\n  state.useDecoder = this._use(entity, obj);\n  assert(state.useDecoder._baseState.parent === null);\n  state.useDecoder = state.useDecoder._baseState.children[0];\n  if (state.implicit !== state.useDecoder._baseState.implicit) {\n    state.useDecoder = state.useDecoder.clone();\n    state.useDecoder._baseState.implicit = state.implicit;\n  }\n  return state.useDecoder;\n};\n\nNode.prototype._decodeChoice = function decodeChoice(input, options) {\n  var state = this._baseState;\n  var result = null;\n  var match = false;\n\n  Object.keys(state.choice).some(function(key) {\n    var save = input.save();\n    var node = state.choice[key];\n    try {\n      var value = node._decode(input, options);\n      if (input.isError(value))\n        return false;\n\n      result = { type: key, value: value };\n      match = true;\n    } catch (e) {\n      input.restore(save);\n      return false;\n    }\n    return true;\n  }, this);\n\n  if (!match)\n    return input.error('Choice not matched');\n\n  return result;\n};\n\n//\n// Encoding\n//\n\nNode.prototype._createEncoderBuffer = function createEncoderBuffer(data) {\n  return new EncoderBuffer(data, this.reporter);\n};\n\nNode.prototype._encode = function encode(data, reporter, parent) {\n  var state = this._baseState;\n  if (state['default'] !== null && state['default'] === data)\n    return;\n\n  var result = this._encodeValue(data, reporter, parent);\n  if (result === undefined)\n    return;\n\n  if (this._skipDefault(result, reporter, parent))\n    return;\n\n  return result;\n};\n\nNode.prototype._encodeValue = function encode(data, reporter, parent) {\n  var state = this._baseState;\n\n  // Decode root node\n  if (state.parent === null)\n    return state.children[0]._encode(data, reporter || new Reporter());\n\n  var result = null;\n\n  // Set reporter to share it with a child class\n  this.reporter = reporter;\n\n  // Check if data is there\n  if (state.optional && data === undefined) {\n    if (state['default'] !== null)\n      data = state['default']\n    else\n      return;\n  }\n\n  // Encode children first\n  var content = null;\n  var primitive = false;\n  if (state.any) {\n    // Anything that was given is translated to buffer\n    result = this._createEncoderBuffer(data);\n  } else if (state.choice) {\n    result = this._encodeChoice(data, reporter);\n  } else if (state.contains) {\n    content = this._getUse(state.contains, parent)._encode(data, reporter);\n    primitive = true;\n  } else if (state.children) {\n    content = state.children.map(function(child) {\n      if (child._baseState.tag === 'null_')\n        return child._encode(null, reporter, data);\n\n      if (child._baseState.key === null)\n        return reporter.error('Child should have a key');\n      var prevKey = reporter.enterKey(child._baseState.key);\n\n      if (typeof data !== 'object')\n        return reporter.error('Child expected, but input is not object');\n\n      var res = child._encode(data[child._baseState.key], reporter, data);\n      reporter.leaveKey(prevKey);\n\n      return res;\n    }, this).filter(function(child) {\n      return child;\n    });\n    content = this._createEncoderBuffer(content);\n  } else {\n    if (state.tag === 'seqof' || state.tag === 'setof') {\n      // TODO(indutny): this should be thrown on DSL level\n      if (!(state.args && state.args.length === 1))\n        return reporter.error('Too many args for : ' + state.tag);\n\n      if (!Array.isArray(data))\n        return reporter.error('seqof/setof, but data is not Array');\n\n      var child = this.clone();\n      child._baseState.implicit = null;\n      content = this._createEncoderBuffer(data.map(function(item) {\n        var state = this._baseState;\n\n        return this._getUse(state.args[0], data)._encode(item, reporter);\n      }, child));\n    } else if (state.use !== null) {\n      result = this._getUse(state.use, parent)._encode(data, reporter);\n    } else {\n      content = this._encodePrimitive(state.tag, data);\n      primitive = true;\n    }\n  }\n\n  // Encode data itself\n  var result;\n  if (!state.any && state.choice === null) {\n    var tag = state.implicit !== null ? state.implicit : state.tag;\n    var cls = state.implicit === null ? 'universal' : 'context';\n\n    if (tag === null) {\n      if (state.use === null)\n        reporter.error('Tag could be omitted only for .use()');\n    } else {\n      if (state.use === null)\n        result = this._encodeComposite(tag, primitive, cls, content);\n    }\n  }\n\n  // Wrap in explicit\n  if (state.explicit !== null)\n    result = this._encodeComposite(state.explicit, false, 'context', result);\n\n  return result;\n};\n\nNode.prototype._encodeChoice = function encodeChoice(data, reporter) {\n  var state = this._baseState;\n\n  var node = state.choice[data.type];\n  if (!node) {\n    assert(\n        false,\n        data.type + ' not found in ' +\n            JSON.stringify(Object.keys(state.choice)));\n  }\n  return node._encode(data.value, reporter);\n};\n\nNode.prototype._encodePrimitive = function encodePrimitive(tag, data) {\n  var state = this._baseState;\n\n  if (/str$/.test(tag))\n    return this._encodeStr(data, tag);\n  else if (tag === 'objid' && state.args)\n    return this._encodeObjid(data, state.reverseArgs[0], state.args[1]);\n  else if (tag === 'objid')\n    return this._encodeObjid(data, null, null);\n  else if (tag === 'gentime' || tag === 'utctime')\n    return this._encodeTime(data, tag);\n  else if (tag === 'null_')\n    return this._encodeNull();\n  else if (tag === 'int' || tag === 'enum')\n    return this._encodeInt(data, state.args && state.reverseArgs[0]);\n  else if (tag === 'bool')\n    return this._encodeBool(data);\n  else if (tag === 'objDesc')\n    return this._encodeStr(data, tag);\n  else\n    throw new Error('Unsupported tag: ' + tag);\n};\n\nNode.prototype._isNumstr = function isNumstr(str) {\n  return /^[0-9 ]*$/.test(str);\n};\n\nNode.prototype._isPrintstr = function isPrintstr(str) {\n  return /^[A-Za-z0-9 '\\(\\)\\+,\\-\\.\\/:=\\?]*$/.test(str);\n};\n","var base = exports;\n\nbase.Reporter = require('./reporter').Reporter;\nbase.DecoderBuffer = require('./buffer').DecoderBuffer;\nbase.EncoderBuffer = require('./buffer').EncoderBuffer;\nbase.Node = require('./node');\n","var constants = require('../constants');\n\nexports.tagClass = {\n  0: 'universal',\n  1: 'application',\n  2: 'context',\n  3: 'private'\n};\nexports.tagClassByName = constants._reverse(exports.tagClass);\n\nexports.tag = {\n  0x00: 'end',\n  0x01: 'bool',\n  0x02: 'int',\n  0x03: 'bitstr',\n  0x04: 'octstr',\n  0x05: 'null_',\n  0x06: 'objid',\n  0x07: 'objDesc',\n  0x08: 'external',\n  0x09: 'real',\n  0x0a: 'enum',\n  0x0b: 'embed',\n  0x0c: 'utf8str',\n  0x0d: 'relativeOid',\n  0x10: 'seq',\n  0x11: 'set',\n  0x12: 'numstr',\n  0x13: 'printstr',\n  0x14: 't61str',\n  0x15: 'videostr',\n  0x16: 'ia5str',\n  0x17: 'utctime',\n  0x18: 'gentime',\n  0x19: 'graphstr',\n  0x1a: 'iso646str',\n  0x1b: 'genstr',\n  0x1c: 'unistr',\n  0x1d: 'charstr',\n  0x1e: 'bmpstr'\n};\nexports.tagByName = constants._reverse(exports.tag);\n","var constants = exports;\n\n// Helper\nconstants._reverse = function reverse(map) {\n  var res = {};\n\n  Object.keys(map).forEach(function(key) {\n    // Convert key to integer if it is stringified\n    if ((key | 0) == key)\n      key = key | 0;\n\n    var value = map[key];\n    res[value] = key;\n  });\n\n  return res;\n};\n\nconstants.der = require('./der');\n","var inherits = require('inherits');\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\nvar bignum = asn1.bignum;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DERDecoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DERDecoder;\n\nDERDecoder.prototype.decode = function decode(data, options) {\n  if (!(data instanceof base.DecoderBuffer))\n    data = new base.DecoderBuffer(data, options);\n\n  return this.tree._decode(data, options);\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._peekTag = function peekTag(buffer, tag, any) {\n  if (buffer.isEmpty())\n    return false;\n\n  var state = buffer.save();\n  var decodedTag = derDecodeTag(buffer, 'Failed to peek tag: \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  buffer.restore(state);\n\n  return decodedTag.tag === tag || decodedTag.tagStr === tag ||\n    (decodedTag.tagStr + 'of') === tag || any;\n};\n\nDERNode.prototype._decodeTag = function decodeTag(buffer, tag, any) {\n  var decodedTag = derDecodeTag(buffer,\n                                'Failed to decode tag of \"' + tag + '\"');\n  if (buffer.isError(decodedTag))\n    return decodedTag;\n\n  var len = derDecodeLen(buffer,\n                         decodedTag.primitive,\n                         'Failed to get length of \"' + tag + '\"');\n\n  // Failure\n  if (buffer.isError(len))\n    return len;\n\n  if (!any &&\n      decodedTag.tag !== tag &&\n      decodedTag.tagStr !== tag &&\n      decodedTag.tagStr + 'of' !== tag) {\n    return buffer.error('Failed to match tag: \"' + tag + '\"');\n  }\n\n  if (decodedTag.primitive || len !== null)\n    return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n\n  // Indefinite length... find END tag\n  var state = buffer.save();\n  var res = this._skipUntilEnd(\n      buffer,\n      'Failed to skip indefinite length body: \"' + this.tag + '\"');\n  if (buffer.isError(res))\n    return res;\n\n  len = buffer.offset - state.offset;\n  buffer.restore(state);\n  return buffer.skip(len, 'Failed to match body of: \"' + tag + '\"');\n};\n\nDERNode.prototype._skipUntilEnd = function skipUntilEnd(buffer, fail) {\n  while (true) {\n    var tag = derDecodeTag(buffer, fail);\n    if (buffer.isError(tag))\n      return tag;\n    var len = derDecodeLen(buffer, tag.primitive, fail);\n    if (buffer.isError(len))\n      return len;\n\n    var res;\n    if (tag.primitive || len !== null)\n      res = buffer.skip(len)\n    else\n      res = this._skipUntilEnd(buffer, fail);\n\n    // Failure\n    if (buffer.isError(res))\n      return res;\n\n    if (tag.tagStr === 'end')\n      break;\n  }\n};\n\nDERNode.prototype._decodeList = function decodeList(buffer, tag, decoder,\n                                                    options) {\n  var result = [];\n  while (!buffer.isEmpty()) {\n    var possibleEnd = this._peekTag(buffer, 'end');\n    if (buffer.isError(possibleEnd))\n      return possibleEnd;\n\n    var res = decoder.decode(buffer, 'der', options);\n    if (buffer.isError(res) && possibleEnd)\n      break;\n    result.push(res);\n  }\n  return result;\n};\n\nDERNode.prototype._decodeStr = function decodeStr(buffer, tag) {\n  if (tag === 'bitstr') {\n    var unused = buffer.readUInt8();\n    if (buffer.isError(unused))\n      return unused;\n    return { unused: unused, data: buffer.raw() };\n  } else if (tag === 'bmpstr') {\n    var raw = buffer.raw();\n    if (raw.length % 2 === 1)\n      return buffer.error('Decoding of string type: bmpstr length mismatch');\n\n    var str = '';\n    for (var i = 0; i < raw.length / 2; i++) {\n      str += String.fromCharCode(raw.readUInt16BE(i * 2));\n    }\n    return str;\n  } else if (tag === 'numstr') {\n    var numstr = buffer.raw().toString('ascii');\n    if (!this._isNumstr(numstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'numstr unsupported characters');\n    }\n    return numstr;\n  } else if (tag === 'octstr') {\n    return buffer.raw();\n  } else if (tag === 'objDesc') {\n    return buffer.raw();\n  } else if (tag === 'printstr') {\n    var printstr = buffer.raw().toString('ascii');\n    if (!this._isPrintstr(printstr)) {\n      return buffer.error('Decoding of string type: ' +\n                          'printstr unsupported characters');\n    }\n    return printstr;\n  } else if (/str$/.test(tag)) {\n    return buffer.raw().toString();\n  } else {\n    return buffer.error('Decoding of string type: ' + tag + ' unsupported');\n  }\n};\n\nDERNode.prototype._decodeObjid = function decodeObjid(buffer, values, relative) {\n  var result;\n  var identifiers = [];\n  var ident = 0;\n  while (!buffer.isEmpty()) {\n    var subident = buffer.readUInt8();\n    ident <<= 7;\n    ident |= subident & 0x7f;\n    if ((subident & 0x80) === 0) {\n      identifiers.push(ident);\n      ident = 0;\n    }\n  }\n  if (subident & 0x80)\n    identifiers.push(ident);\n\n  var first = (identifiers[0] / 40) | 0;\n  var second = identifiers[0] % 40;\n\n  if (relative)\n    result = identifiers;\n  else\n    result = [first, second].concat(identifiers.slice(1));\n\n  if (values) {\n    var tmp = values[result.join(' ')];\n    if (tmp === undefined)\n      tmp = values[result.join('.')];\n    if (tmp !== undefined)\n      result = tmp;\n  }\n\n  return result;\n};\n\nDERNode.prototype._decodeTime = function decodeTime(buffer, tag) {\n  var str = buffer.raw().toString();\n  if (tag === 'gentime') {\n    var year = str.slice(0, 4) | 0;\n    var mon = str.slice(4, 6) | 0;\n    var day = str.slice(6, 8) | 0;\n    var hour = str.slice(8, 10) | 0;\n    var min = str.slice(10, 12) | 0;\n    var sec = str.slice(12, 14) | 0;\n  } else if (tag === 'utctime') {\n    var year = str.slice(0, 2) | 0;\n    var mon = str.slice(2, 4) | 0;\n    var day = str.slice(4, 6) | 0;\n    var hour = str.slice(6, 8) | 0;\n    var min = str.slice(8, 10) | 0;\n    var sec = str.slice(10, 12) | 0;\n    if (year < 70)\n      year = 2000 + year;\n    else\n      year = 1900 + year;\n  } else {\n    return buffer.error('Decoding ' + tag + ' time is not supported yet');\n  }\n\n  return Date.UTC(year, mon - 1, day, hour, min, sec, 0);\n};\n\nDERNode.prototype._decodeNull = function decodeNull(buffer) {\n  return null;\n};\n\nDERNode.prototype._decodeBool = function decodeBool(buffer) {\n  var res = buffer.readUInt8();\n  if (buffer.isError(res))\n    return res;\n  else\n    return res !== 0;\n};\n\nDERNode.prototype._decodeInt = function decodeInt(buffer, values) {\n  // Bigint, return as it is (assume big endian)\n  var raw = buffer.raw();\n  var res = new bignum(raw);\n\n  if (values)\n    res = values[res.toString(10)] || res;\n\n  return res;\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getDecoder('der').tree;\n};\n\n// Utility methods\n\nfunction derDecodeTag(buf, fail) {\n  var tag = buf.readUInt8(fail);\n  if (buf.isError(tag))\n    return tag;\n\n  var cls = der.tagClass[tag >> 6];\n  var primitive = (tag & 0x20) === 0;\n\n  // Multi-octet tag - load\n  if ((tag & 0x1f) === 0x1f) {\n    var oct = tag;\n    tag = 0;\n    while ((oct & 0x80) === 0x80) {\n      oct = buf.readUInt8(fail);\n      if (buf.isError(oct))\n        return oct;\n\n      tag <<= 7;\n      tag |= oct & 0x7f;\n    }\n  } else {\n    tag &= 0x1f;\n  }\n  var tagStr = der.tag[tag];\n\n  return {\n    cls: cls,\n    primitive: primitive,\n    tag: tag,\n    tagStr: tagStr\n  };\n}\n\nfunction derDecodeLen(buf, primitive, fail) {\n  var len = buf.readUInt8(fail);\n  if (buf.isError(len))\n    return len;\n\n  // Indefinite form\n  if (!primitive && len === 0x80)\n    return null;\n\n  // Definite form\n  if ((len & 0x80) === 0) {\n    // Short form\n    return len;\n  }\n\n  // Long form\n  var num = len & 0x7f;\n  if (num > 4)\n    return buf.error('length octect is too long');\n\n  len = 0;\n  for (var i = 0; i < num; i++) {\n    len <<= 8;\n    var j = buf.readUInt8(fail);\n    if (buf.isError(j))\n      return j;\n    len |= j;\n  }\n\n  return len;\n}\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar DERDecoder = require('./der');\n\nfunction PEMDecoder(entity) {\n  DERDecoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMDecoder, DERDecoder);\nmodule.exports = PEMDecoder;\n\nPEMDecoder.prototype.decode = function decode(data, options) {\n  var lines = data.toString().split(/[\\r\\n]+/g);\n\n  var label = options.label.toUpperCase();\n\n  var re = /^-----(BEGIN|END) ([^-]+)-----$/;\n  var start = -1;\n  var end = -1;\n  for (var i = 0; i < lines.length; i++) {\n    var match = lines[i].match(re);\n    if (match === null)\n      continue;\n\n    if (match[2] !== label)\n      continue;\n\n    if (start === -1) {\n      if (match[1] !== 'BEGIN')\n        break;\n      start = i;\n    } else {\n      if (match[1] !== 'END')\n        break;\n      end = i;\n      break;\n    }\n  }\n  if (start === -1 || end === -1)\n    throw new Error('PEM section not found for: ' + label);\n\n  var base64 = lines.slice(start + 1, end).join('');\n  // Remove excessive symbols\n  base64.replace(/[^a-z0-9\\+\\/=]+/gi, '');\n\n  var input = new Buffer(base64, 'base64');\n  return DERDecoder.prototype.decode.call(this, input, options);\n};\n","var decoders = exports;\n\ndecoders.der = require('./der');\ndecoders.pem = require('./pem');\n","var inherits = require('inherits');\nvar Buffer = require('buffer').Buffer;\n\nvar asn1 = require('../../asn1');\nvar base = asn1.base;\n\n// Import DER constants\nvar der = asn1.constants.der;\n\nfunction DEREncoder(entity) {\n  this.enc = 'der';\n  this.name = entity.name;\n  this.entity = entity;\n\n  // Construct base tree\n  this.tree = new DERNode();\n  this.tree._init(entity.body);\n};\nmodule.exports = DEREncoder;\n\nDEREncoder.prototype.encode = function encode(data, reporter) {\n  return this.tree._encode(data, reporter).join();\n};\n\n// Tree methods\n\nfunction DERNode(parent) {\n  base.Node.call(this, 'der', parent);\n}\ninherits(DERNode, base.Node);\n\nDERNode.prototype._encodeComposite = function encodeComposite(tag,\n                                                              primitive,\n                                                              cls,\n                                                              content) {\n  var encodedTag = encodeTag(tag, primitive, cls, this.reporter);\n\n  // Short form\n  if (content.length < 0x80) {\n    var header = new Buffer(2);\n    header[0] = encodedTag;\n    header[1] = content.length;\n    return this._createEncoderBuffer([ header, content ]);\n  }\n\n  // Long form\n  // Count octets required to store length\n  var lenOctets = 1;\n  for (var i = content.length; i >= 0x100; i >>= 8)\n    lenOctets++;\n\n  var header = new Buffer(1 + 1 + lenOctets);\n  header[0] = encodedTag;\n  header[1] = 0x80 | lenOctets;\n\n  for (var i = 1 + lenOctets, j = content.length; j > 0; i--, j >>= 8)\n    header[i] = j & 0xff;\n\n  return this._createEncoderBuffer([ header, content ]);\n};\n\nDERNode.prototype._encodeStr = function encodeStr(str, tag) {\n  if (tag === 'bitstr') {\n    return this._createEncoderBuffer([ str.unused | 0, str.data ]);\n  } else if (tag === 'bmpstr') {\n    var buf = new Buffer(str.length * 2);\n    for (var i = 0; i < str.length; i++) {\n      buf.writeUInt16BE(str.charCodeAt(i), i * 2);\n    }\n    return this._createEncoderBuffer(buf);\n  } else if (tag === 'numstr') {\n    if (!this._isNumstr(str)) {\n      return this.reporter.error('Encoding of string type: numstr supports ' +\n                                 'only digits and space');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'printstr') {\n    if (!this._isPrintstr(str)) {\n      return this.reporter.error('Encoding of string type: printstr supports ' +\n                                 'only latin upper and lower case letters, ' +\n                                 'digits, space, apostrophe, left and rigth ' +\n                                 'parenthesis, plus sign, comma, hyphen, ' +\n                                 'dot, slash, colon, equal sign, ' +\n                                 'question mark');\n    }\n    return this._createEncoderBuffer(str);\n  } else if (/str$/.test(tag)) {\n    return this._createEncoderBuffer(str);\n  } else if (tag === 'objDesc') {\n    return this._createEncoderBuffer(str);\n  } else {\n    return this.reporter.error('Encoding of string type: ' + tag +\n                               ' unsupported');\n  }\n};\n\nDERNode.prototype._encodeObjid = function encodeObjid(id, values, relative) {\n  if (typeof id === 'string') {\n    if (!values)\n      return this.reporter.error('string objid given, but no values map found');\n    if (!values.hasOwnProperty(id))\n      return this.reporter.error('objid not found in values map');\n    id = values[id].split(/[\\s\\.]+/g);\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  } else if (Array.isArray(id)) {\n    id = id.slice();\n    for (var i = 0; i < id.length; i++)\n      id[i] |= 0;\n  }\n\n  if (!Array.isArray(id)) {\n    return this.reporter.error('objid() should be either array or string, ' +\n                               'got: ' + JSON.stringify(id));\n  }\n\n  if (!relative) {\n    if (id[1] >= 40)\n      return this.reporter.error('Second objid identifier OOB');\n    id.splice(0, 2, id[0] * 40 + id[1]);\n  }\n\n  // Count number of octets\n  var size = 0;\n  for (var i = 0; i < id.length; i++) {\n    var ident = id[i];\n    for (size++; ident >= 0x80; ident >>= 7)\n      size++;\n  }\n\n  var objid = new Buffer(size);\n  var offset = objid.length - 1;\n  for (var i = id.length - 1; i >= 0; i--) {\n    var ident = id[i];\n    objid[offset--] = ident & 0x7f;\n    while ((ident >>= 7) > 0)\n      objid[offset--] = 0x80 | (ident & 0x7f);\n  }\n\n  return this._createEncoderBuffer(objid);\n};\n\nfunction two(num) {\n  if (num < 10)\n    return '0' + num;\n  else\n    return num;\n}\n\nDERNode.prototype._encodeTime = function encodeTime(time, tag) {\n  var str;\n  var date = new Date(time);\n\n  if (tag === 'gentime') {\n    str = [\n      two(date.getFullYear()),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else if (tag === 'utctime') {\n    str = [\n      two(date.getFullYear() % 100),\n      two(date.getUTCMonth() + 1),\n      two(date.getUTCDate()),\n      two(date.getUTCHours()),\n      two(date.getUTCMinutes()),\n      two(date.getUTCSeconds()),\n      'Z'\n    ].join('');\n  } else {\n    this.reporter.error('Encoding ' + tag + ' time is not supported yet');\n  }\n\n  return this._encodeStr(str, 'octstr');\n};\n\nDERNode.prototype._encodeNull = function encodeNull() {\n  return this._createEncoderBuffer('');\n};\n\nDERNode.prototype._encodeInt = function encodeInt(num, values) {\n  if (typeof num === 'string') {\n    if (!values)\n      return this.reporter.error('String int or enum given, but no values map');\n    if (!values.hasOwnProperty(num)) {\n      return this.reporter.error('Values map doesn\\'t contain: ' +\n                                 JSON.stringify(num));\n    }\n    num = values[num];\n  }\n\n  // Bignum, assume big endian\n  if (typeof num !== 'number' && !Buffer.isBuffer(num)) {\n    var numArray = num.toArray();\n    if (!num.sign && numArray[0] & 0x80) {\n      numArray.unshift(0);\n    }\n    num = new Buffer(numArray);\n  }\n\n  if (Buffer.isBuffer(num)) {\n    var size = num.length;\n    if (num.length === 0)\n      size++;\n\n    var out = new Buffer(size);\n    num.copy(out);\n    if (num.length === 0)\n      out[0] = 0\n    return this._createEncoderBuffer(out);\n  }\n\n  if (num < 0x80)\n    return this._createEncoderBuffer(num);\n\n  if (num < 0x100)\n    return this._createEncoderBuffer([0, num]);\n\n  var size = 1;\n  for (var i = num; i >= 0x100; i >>= 8)\n    size++;\n\n  var out = new Array(size);\n  for (var i = out.length - 1; i >= 0; i--) {\n    out[i] = num & 0xff;\n    num >>= 8;\n  }\n  if(out[0] & 0x80) {\n    out.unshift(0);\n  }\n\n  return this._createEncoderBuffer(new Buffer(out));\n};\n\nDERNode.prototype._encodeBool = function encodeBool(value) {\n  return this._createEncoderBuffer(value ? 0xff : 0);\n};\n\nDERNode.prototype._use = function use(entity, obj) {\n  if (typeof entity === 'function')\n    entity = entity(obj);\n  return entity._getEncoder('der').tree;\n};\n\nDERNode.prototype._skipDefault = function skipDefault(dataBuffer, reporter, parent) {\n  var state = this._baseState;\n  var i;\n  if (state['default'] === null)\n    return false;\n\n  var data = dataBuffer.join();\n  if (state.defaultBuffer === undefined)\n    state.defaultBuffer = this._encodeValue(state['default'], reporter, parent).join();\n\n  if (data.length !== state.defaultBuffer.length)\n    return false;\n\n  for (i=0; i < data.length; i++)\n    if (data[i] !== state.defaultBuffer[i])\n      return false;\n\n  return true;\n};\n\n// Utility methods\n\nfunction encodeTag(tag, primitive, cls, reporter) {\n  var res;\n\n  if (tag === 'seqof')\n    tag = 'seq';\n  else if (tag === 'setof')\n    tag = 'set';\n\n  if (der.tagByName.hasOwnProperty(tag))\n    res = der.tagByName[tag];\n  else if (typeof tag === 'number' && (tag | 0) === tag)\n    res = tag;\n  else\n    return reporter.error('Unknown tag: ' + tag);\n\n  if (res >= 0x1f)\n    return reporter.error('Multi-octet tag encoding unsupported');\n\n  if (!primitive)\n    res |= 0x20;\n\n  res |= (der.tagClassByName[cls || 'universal'] << 6);\n\n  return res;\n}\n","var inherits = require('inherits');\n\nvar DEREncoder = require('./der');\n\nfunction PEMEncoder(entity) {\n  DEREncoder.call(this, entity);\n  this.enc = 'pem';\n};\ninherits(PEMEncoder, DEREncoder);\nmodule.exports = PEMEncoder;\n\nPEMEncoder.prototype.encode = function encode(data, options) {\n  var buf = DEREncoder.prototype.encode.call(this, data);\n\n  var p = buf.toString('base64');\n  var out = [ '-----BEGIN ' + options.label + '-----' ];\n  for (var i = 0; i < p.length; i += 64)\n    out.push(p.slice(i, i + 64));\n  out.push('-----END ' + options.label + '-----');\n  return out.join('\\n');\n};\n","var encoders = exports;\n\nencoders.der = require('./der');\nencoders.pem = require('./pem');\n","var asn1 = exports;\n\nasn1.bignum = require('bn.js');\n\nasn1.define = require('./asn1/api').define;\nasn1.base = require('./asn1/base');\nasn1.constants = require('./asn1/constants');\nasn1.decoders = require('./asn1/decoders');\nasn1.encoders = require('./asn1/encoders');\n","// from https://github.com/Rantanen/node-dtls/blob/25a7dc861bda38cfeac93a723500eea4f0ac2e86/Certificate.js\n// thanks to @Rantanen\n\n'use strict'\n\nvar asn = require('asn1.js')\n\nvar Time = asn.define('Time', function () {\n  this.choice({\n    utcTime: this.utctime(),\n    generalTime: this.gentime()\n  })\n})\n\nvar AttributeTypeValue = asn.define('AttributeTypeValue', function () {\n  this.seq().obj(\n    this.key('type').objid(),\n    this.key('value').any()\n  )\n})\n\nvar AlgorithmIdentifier = asn.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('parameters').optional()\n  )\n})\n\nvar SubjectPublicKeyInfo = asn.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\n\nvar RelativeDistinguishedName = asn.define('RelativeDistinguishedName', function () {\n  this.setof(AttributeTypeValue)\n})\n\nvar RDNSequence = asn.define('RDNSequence', function () {\n  this.seqof(RelativeDistinguishedName)\n})\n\nvar Name = asn.define('Name', function () {\n  this.choice({\n    rdnSequence: this.use(RDNSequence)\n  })\n})\n\nvar Validity = asn.define('Validity', function () {\n  this.seq().obj(\n    this.key('notBefore').use(Time),\n    this.key('notAfter').use(Time)\n  )\n})\n\nvar Extension = asn.define('Extension', function () {\n  this.seq().obj(\n    this.key('extnID').objid(),\n    this.key('critical').bool().def(false),\n    this.key('extnValue').octstr()\n  )\n})\n\nvar TBSCertificate = asn.define('TBSCertificate', function () {\n  this.seq().obj(\n    this.key('version').explicit(0).int(),\n    this.key('serialNumber').int(),\n    this.key('signature').use(AlgorithmIdentifier),\n    this.key('issuer').use(Name),\n    this.key('validity').use(Validity),\n    this.key('subject').use(Name),\n    this.key('subjectPublicKeyInfo').use(SubjectPublicKeyInfo),\n    this.key('issuerUniqueID').implicit(1).bitstr().optional(),\n    this.key('subjectUniqueID').implicit(2).bitstr().optional(),\n    this.key('extensions').explicit(3).seqof(Extension).optional()\n  )\n})\n\nvar X509Certificate = asn.define('X509Certificate', function () {\n  this.seq().obj(\n    this.key('tbsCertificate').use(TBSCertificate),\n    this.key('signatureAlgorithm').use(AlgorithmIdentifier),\n    this.key('signatureValue').bitstr()\n  )\n})\n\nmodule.exports = X509Certificate\n","// from https://github.com/indutny/self-signed/blob/gh-pages/lib/asn1.js\n// Fedor, you are amazing.\n'use strict'\n\nvar asn1 = require('asn1.js')\n\nexports.certificate = require('./certificate')\n\nvar RSAPrivateKey = asn1.define('RSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('modulus').int(),\n    this.key('publicExponent').int(),\n    this.key('privateExponent').int(),\n    this.key('prime1').int(),\n    this.key('prime2').int(),\n    this.key('exponent1').int(),\n    this.key('exponent2').int(),\n    this.key('coefficient').int()\n  )\n})\nexports.RSAPrivateKey = RSAPrivateKey\n\nvar RSAPublicKey = asn1.define('RSAPublicKey', function () {\n  this.seq().obj(\n    this.key('modulus').int(),\n    this.key('publicExponent').int()\n  )\n})\nexports.RSAPublicKey = RSAPublicKey\n\nvar PublicKey = asn1.define('SubjectPublicKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPublicKey').bitstr()\n  )\n})\nexports.PublicKey = PublicKey\n\nvar AlgorithmIdentifier = asn1.define('AlgorithmIdentifier', function () {\n  this.seq().obj(\n    this.key('algorithm').objid(),\n    this.key('none').null_().optional(),\n    this.key('curve').objid().optional(),\n    this.key('params').seq().obj(\n      this.key('p').int(),\n      this.key('q').int(),\n      this.key('g').int()\n    ).optional()\n  )\n})\n\nvar PrivateKeyInfo = asn1.define('PrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('algorithm').use(AlgorithmIdentifier),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\nexports.PrivateKey = PrivateKeyInfo\nvar EncryptedPrivateKeyInfo = asn1.define('EncryptedPrivateKeyInfo', function () {\n  this.seq().obj(\n    this.key('algorithm').seq().obj(\n      this.key('id').objid(),\n      this.key('decrypt').seq().obj(\n        this.key('kde').seq().obj(\n          this.key('id').objid(),\n          this.key('kdeparams').seq().obj(\n            this.key('salt').octstr(),\n            this.key('iters').int()\n          )\n        ),\n        this.key('cipher').seq().obj(\n          this.key('algo').objid(),\n          this.key('iv').octstr()\n        )\n      )\n    ),\n    this.key('subjectPrivateKey').octstr()\n  )\n})\n\nexports.EncryptedPrivateKey = EncryptedPrivateKeyInfo\n\nvar DSAPrivateKey = asn1.define('DSAPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('p').int(),\n    this.key('q').int(),\n    this.key('g').int(),\n    this.key('pub_key').int(),\n    this.key('priv_key').int()\n  )\n})\nexports.DSAPrivateKey = DSAPrivateKey\n\nexports.DSAparam = asn1.define('DSAparam', function () {\n  this.int()\n})\n\nvar ECPrivateKey = asn1.define('ECPrivateKey', function () {\n  this.seq().obj(\n    this.key('version').int(),\n    this.key('privateKey').octstr(),\n    this.key('parameters').optional().explicit(0).use(ECParameters),\n    this.key('publicKey').optional().explicit(1).bitstr()\n  )\n})\nexports.ECPrivateKey = ECPrivateKey\n\nvar ECParameters = asn1.define('ECParameters', function () {\n  this.choice({\n    namedCurve: this.objid()\n  })\n})\n\nexports.signature = asn1.define('signature', function () {\n  this.seq().obj(\n    this.key('r').int(),\n    this.key('s').int()\n  )\n})\n","// adapted from https://github.com/apatil/pemstrip\nvar findProc = /Proc-Type: 4,ENCRYPTED[\\n\\r]+DEK-Info: AES-((?:128)|(?:192)|(?:256))-CBC,([0-9A-H]+)[\\n\\r]+([0-9A-z\\n\\r\\+\\/\\=]+)[\\n\\r]+/m\nvar startRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----/m\nvar fullRegex = /^-----BEGIN ((?:.* KEY)|CERTIFICATE)-----([0-9A-z\\n\\r\\+\\/\\=]+)-----END \\1-----$/m\nvar evp = require('evp_bytestokey')\nvar ciphers = require('browserify-aes')\nmodule.exports = function (okey, password) {\n  var key = okey.toString()\n  var match = key.match(findProc)\n  var decrypted\n  if (!match) {\n    var match2 = key.match(fullRegex)\n    decrypted = new Buffer(match2[2].replace(/[\\r\\n]/g, ''), 'base64')\n  } else {\n    var suite = 'aes' + match[1]\n    var iv = new Buffer(match[2], 'hex')\n    var cipherText = new Buffer(match[3].replace(/[\\r\\n]/g, ''), 'base64')\n    var cipherKey = evp(password, iv.slice(0, 8), parseInt(match[1], 10)).key\n    var out = []\n    var cipher = ciphers.createDecipheriv(suite, cipherKey, iv)\n    out.push(cipher.update(cipherText))\n    out.push(cipher.final())\n    decrypted = Buffer.concat(out)\n  }\n  var tag = key.match(startRegex)[1]\n  return {\n    tag: tag,\n    data: decrypted\n  }\n}\n","var asn1 = require('./asn1')\nvar aesid = require('./aesid.json')\nvar fixProc = require('./fixProc')\nvar ciphers = require('browserify-aes')\nvar compat = require('pbkdf2')\nmodule.exports = parseKeys\n\nfunction parseKeys (buffer) {\n  var password\n  if (typeof buffer === 'object' && !Buffer.isBuffer(buffer)) {\n    password = buffer.passphrase\n    buffer = buffer.key\n  }\n  if (typeof buffer === 'string') {\n    buffer = new Buffer(buffer)\n  }\n\n  var stripped = fixProc(buffer, password)\n\n  var type = stripped.tag\n  var data = stripped.data\n  var subtype, ndata\n  switch (type) {\n    case 'CERTIFICATE':\n      ndata = asn1.certificate.decode(data, 'der').tbsCertificate.subjectPublicKeyInfo\n      // falls through\n    case 'PUBLIC KEY':\n      if (!ndata) {\n        ndata = asn1.PublicKey.decode(data, 'der')\n      }\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPublicKey.decode(ndata.subjectPublicKey.data, 'der')\n        case '1.2.840.10045.2.1':\n          ndata.subjectPrivateKey = ndata.subjectPublicKey\n          return {\n            type: 'ec',\n            data: ndata\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.pub_key = asn1.DSAparam.decode(ndata.subjectPublicKey.data, 'der')\n          return {\n            type: 'dsa',\n            data: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'ENCRYPTED PRIVATE KEY':\n      data = asn1.EncryptedPrivateKey.decode(data, 'der')\n      data = decrypt(data, password)\n      // falls through\n    case 'PRIVATE KEY':\n      ndata = asn1.PrivateKey.decode(data, 'der')\n      subtype = ndata.algorithm.algorithm.join('.')\n      switch (subtype) {\n        case '1.2.840.113549.1.1.1':\n          return asn1.RSAPrivateKey.decode(ndata.subjectPrivateKey, 'der')\n        case '1.2.840.10045.2.1':\n          return {\n            curve: ndata.algorithm.curve,\n            privateKey: asn1.ECPrivateKey.decode(ndata.subjectPrivateKey, 'der').privateKey\n          }\n        case '1.2.840.10040.4.1':\n          ndata.algorithm.params.priv_key = asn1.DSAparam.decode(ndata.subjectPrivateKey, 'der')\n          return {\n            type: 'dsa',\n            params: ndata.algorithm.params\n          }\n        default: throw new Error('unknown key id ' + subtype)\n      }\n      throw new Error('unknown key type ' + type)\n    case 'RSA PUBLIC KEY':\n      return asn1.RSAPublicKey.decode(data, 'der')\n    case 'RSA PRIVATE KEY':\n      return asn1.RSAPrivateKey.decode(data, 'der')\n    case 'DSA PRIVATE KEY':\n      return {\n        type: 'dsa',\n        params: asn1.DSAPrivateKey.decode(data, 'der')\n      }\n    case 'EC PRIVATE KEY':\n      data = asn1.ECPrivateKey.decode(data, 'der')\n      return {\n        curve: data.parameters.value,\n        privateKey: data.privateKey\n      }\n    default: throw new Error('unknown key type ' + type)\n  }\n}\nparseKeys.signature = asn1.signature\nfunction decrypt (data, password) {\n  var salt = data.algorithm.decrypt.kde.kdeparams.salt\n  var iters = parseInt(data.algorithm.decrypt.kde.kdeparams.iters.toString(), 10)\n  var algo = aesid[data.algorithm.decrypt.cipher.algo.join('.')]\n  var iv = data.algorithm.decrypt.cipher.iv\n  var cipherText = data.subjectPrivateKey\n  var keylen = parseInt(algo.split('-')[1], 10) / 8\n  var key = compat.pbkdf2Sync(password, salt, iters, keylen)\n  var cipher = ciphers.createDecipheriv(algo, key, iv)\n  var out = []\n  out.push(cipher.update(cipherText))\n  out.push(cipher.final())\n  return Buffer.concat(out)\n}\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar createHmac = require('create-hmac')\nvar crt = require('browserify-rsa')\nvar EC = require('elliptic').ec\nvar BN = require('bn.js')\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction sign (hash, key, hashType, signType, tag) {\n  var priv = parseKeys(key)\n  if (priv.curve) {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n    return ecSign(hash, priv)\n  } else if (priv.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong private key type')\n    return dsaSign(hash, priv, hashType)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong private key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = priv.modulus.byteLength()\n  var pad = [ 0, 1 ]\n  while (hash.length + pad.length + 1 < len) pad.push(0xff)\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) pad.push(hash[i])\n\n  var out = crt(pad, priv)\n  return out\n}\n\nfunction ecSign (hash, priv) {\n  var curveId = curves[priv.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + priv.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var key = curve.keyFromPrivate(priv.privateKey)\n  var out = key.sign(hash)\n\n  return new Buffer(out.toDER())\n}\n\nfunction dsaSign (hash, priv, algo) {\n  var x = priv.params.priv_key\n  var p = priv.params.p\n  var q = priv.params.q\n  var g = priv.params.g\n  var r = new BN(0)\n  var k\n  var H = bits2int(hash, q).mod(q)\n  var s = false\n  var kv = getKey(x, q, hash, algo)\n  while (s === false) {\n    k = makeKey(q, kv, algo)\n    r = makeR(g, k, p, q)\n    s = k.invm(q).imul(H.add(x.mul(r))).mod(q)\n    if (s.cmpn(0) === 0) {\n      s = false\n      r = new BN(0)\n    }\n  }\n  return toDER(r, s)\n}\n\nfunction toDER (r, s) {\n  r = r.toArray()\n  s = s.toArray()\n\n  // Pad values\n  if (r[0] & 0x80) r = [ 0 ].concat(r)\n  if (s[0] & 0x80) s = [ 0 ].concat(s)\n\n  var total = r.length + s.length + 4\n  var res = [ 0x30, total, 0x02, r.length ]\n  res = res.concat(r, [ 0x02, s.length ], s)\n  return new Buffer(res)\n}\n\nfunction getKey (x, q, hash, algo) {\n  x = new Buffer(x.toArray())\n  if (x.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - x.length)\n    zeros.fill(0)\n    x = Buffer.concat([ zeros, x ])\n  }\n  var hlen = hash.length\n  var hbits = bits2octets(hash, q)\n  var v = new Buffer(hlen)\n  v.fill(1)\n  var k = new Buffer(hlen)\n  k.fill(0)\n  k = createHmac(algo, k).update(v).update(new Buffer([ 0 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  k = createHmac(algo, k).update(v).update(new Buffer([ 1 ])).update(x).update(hbits).digest()\n  v = createHmac(algo, k).update(v).digest()\n  return { k: k, v: v }\n}\n\nfunction bits2int (obits, q) {\n  var bits = new BN(obits)\n  var shift = (obits.length << 3) - q.bitLength()\n  if (shift > 0) bits.ishrn(shift)\n  return bits\n}\n\nfunction bits2octets (bits, q) {\n  bits = bits2int(bits, q)\n  bits = bits.mod(q)\n  var out = new Buffer(bits.toArray())\n  if (out.length < q.byteLength()) {\n    var zeros = new Buffer(q.byteLength() - out.length)\n    zeros.fill(0)\n    out = Buffer.concat([ zeros, out ])\n  }\n  return out\n}\n\nfunction makeKey (q, kv, algo) {\n  var t\n  var k\n\n  do {\n    t = new Buffer(0)\n\n    while (t.length * 8 < q.bitLength()) {\n      kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n      t = Buffer.concat([ t, kv.v ])\n    }\n\n    k = bits2int(t, q)\n    kv.k = createHmac(algo, kv.k).update(kv.v).update(new Buffer([ 0 ])).digest()\n    kv.v = createHmac(algo, kv.k).update(kv.v).digest()\n  } while (k.cmp(q) !== -1)\n\n  return k\n}\n\nfunction makeR (g, k, p, q) {\n  return g.toRed(BN.mont(p)).redPow(k).fromRed().mod(q)\n}\n\nmodule.exports = sign\nmodule.exports.getKey = getKey\nmodule.exports.makeKey = makeKey\n","// much of this based on https://github.com/indutny/self-signed/blob/gh-pages/lib/rsa.js\nvar BN = require('bn.js')\nvar EC = require('elliptic').ec\nvar parseKeys = require('parse-asn1')\nvar curves = require('./curves.json')\n\nfunction verify (sig, hash, key, signType, tag) {\n  var pub = parseKeys(key)\n  if (pub.type === 'ec') {\n    // rsa keys can be interpreted as ecdsa ones in openssl\n    if (signType !== 'ecdsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n    return ecVerify(sig, hash, pub)\n  } else if (pub.type === 'dsa') {\n    if (signType !== 'dsa') throw new Error('wrong public key type')\n    return dsaVerify(sig, hash, pub)\n  } else {\n    if (signType !== 'rsa' && signType !== 'ecdsa/rsa') throw new Error('wrong public key type')\n  }\n  hash = Buffer.concat([tag, hash])\n  var len = pub.modulus.byteLength()\n  var pad = [ 1 ]\n  var padNum = 0\n  while (hash.length + pad.length + 2 < len) {\n    pad.push(0xff)\n    padNum++\n  }\n  pad.push(0x00)\n  var i = -1\n  while (++i < hash.length) {\n    pad.push(hash[i])\n  }\n  pad = new Buffer(pad)\n  var red = BN.mont(pub.modulus)\n  sig = new BN(sig).toRed(red)\n\n  sig = sig.redPow(new BN(pub.publicExponent))\n  sig = new Buffer(sig.fromRed().toArray())\n  var out = padNum < 8 ? 1 : 0\n  len = Math.min(sig.length, pad.length)\n  if (sig.length !== pad.length) out = 1\n\n  i = -1\n  while (++i < len) out |= sig[i] ^ pad[i]\n  return out === 0\n}\n\nfunction ecVerify (sig, hash, pub) {\n  var curveId = curves[pub.data.algorithm.curve.join('.')]\n  if (!curveId) throw new Error('unknown curve ' + pub.data.algorithm.curve.join('.'))\n\n  var curve = new EC(curveId)\n  var pubkey = pub.data.subjectPrivateKey.data\n\n  return curve.verify(hash, sig, pubkey)\n}\n\nfunction dsaVerify (sig, hash, pub) {\n  var p = pub.data.p\n  var q = pub.data.q\n  var g = pub.data.g\n  var y = pub.data.pub_key\n  var unpacked = parseKeys.signature.decode(sig, 'der')\n  var s = unpacked.s\n  var r = unpacked.r\n  checkValue(s, q)\n  checkValue(r, q)\n  var montp = BN.mont(p)\n  var w = s.invm(q)\n  var v = g.toRed(montp)\n    .redPow(new BN(hash).mul(w).mod(q))\n    .fromRed()\n    .mul(y.toRed(montp).redPow(r.mul(w).mod(q)).fromRed())\n    .mod(p)\n    .mod(q)\n  return v.cmp(r) === 0\n}\n\nfunction checkValue (b, q) {\n  if (b.cmpn(0) <= 0) throw new Error('invalid sig')\n  if (b.cmp(q) >= q) throw new Error('invalid sig')\n}\n\nmodule.exports = verify\n","var createHash = require('create-hash')\nvar stream = require('stream')\nvar inherits = require('inherits')\nvar sign = require('./sign')\nvar verify = require('./verify')\n\nvar algorithms = require('./algorithms.json')\nObject.keys(algorithms).forEach(function (key) {\n  algorithms[key].id = new Buffer(algorithms[key].id, 'hex')\n  algorithms[key.toLowerCase()] = algorithms[key]\n})\n\nfunction Sign (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hashType = data.hash\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Sign, stream.Writable)\n\nSign.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nSign.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nSign.prototype.sign = function signMethod (key, enc) {\n  this.end()\n  var hash = this._hash.digest()\n  var sig = sign(hash, key, this._hashType, this._signType, this._tag)\n\n  return enc ? sig.toString(enc) : sig\n}\n\nfunction Verify (algorithm) {\n  stream.Writable.call(this)\n\n  var data = algorithms[algorithm]\n  if (!data) throw new Error('Unknown message digest')\n\n  this._hash = createHash(data.hash)\n  this._tag = data.id\n  this._signType = data.sign\n}\ninherits(Verify, stream.Writable)\n\nVerify.prototype._write = function _write (data, _, done) {\n  this._hash.update(data)\n  done()\n}\n\nVerify.prototype.update = function update (data, enc) {\n  if (typeof data === 'string') data = new Buffer(data, enc)\n\n  this._hash.update(data)\n  return this\n}\n\nVerify.prototype.verify = function verifyMethod (key, sig, enc) {\n  if (typeof sig === 'string') sig = new Buffer(sig, enc)\n\n  this.end()\n  var hash = this._hash.digest()\n  return verify(sig, hash, key, this._signType, this._tag)\n}\n\nfunction createSign (algorithm) {\n  return new Sign(algorithm)\n}\n\nfunction createVerify (algorithm) {\n  return new Verify(algorithm)\n}\n\nmodule.exports = {\n  Sign: createSign,\n  Verify: createVerify,\n  createSign: createSign,\n  createVerify: createVerify\n}\n","var elliptic = require('elliptic')\nvar BN = require('bn.js')\n\nmodule.exports = function createECDH (curve) {\n  return new ECDH(curve)\n}\n\nvar aliases = {\n  secp256k1: {\n    name: 'secp256k1',\n    byteLength: 32\n  },\n  secp224r1: {\n    name: 'p224',\n    byteLength: 28\n  },\n  prime256v1: {\n    name: 'p256',\n    byteLength: 32\n  },\n  prime192v1: {\n    name: 'p192',\n    byteLength: 24\n  },\n  ed25519: {\n    name: 'ed25519',\n    byteLength: 32\n  },\n  secp384r1: {\n    name: 'p384',\n    byteLength: 48\n  },\n  secp521r1: {\n    name: 'p521',\n    byteLength: 66\n  }\n}\n\naliases.p224 = aliases.secp224r1\naliases.p256 = aliases.secp256r1 = aliases.prime256v1\naliases.p192 = aliases.secp192r1 = aliases.prime192v1\naliases.p384 = aliases.secp384r1\naliases.p521 = aliases.secp521r1\n\nfunction ECDH (curve) {\n  this.curveType = aliases[curve]\n  if (!this.curveType) {\n    this.curveType = {\n      name: curve\n    }\n  }\n  this.curve = new elliptic.ec(this.curveType.name) // eslint-disable-line new-cap\n  this.keys = void 0\n}\n\nECDH.prototype.generateKeys = function (enc, format) {\n  this.keys = this.curve.genKeyPair()\n  return this.getPublicKey(enc, format)\n}\n\nECDH.prototype.computeSecret = function (other, inenc, enc) {\n  inenc = inenc || 'utf8'\n  if (!Buffer.isBuffer(other)) {\n    other = new Buffer(other, inenc)\n  }\n  var otherPub = this.curve.keyFromPublic(other).getPublic()\n  var out = otherPub.mul(this.keys.getPrivate()).getX()\n  return formatReturnValue(out, enc, this.curveType.byteLength)\n}\n\nECDH.prototype.getPublicKey = function (enc, format) {\n  var key = this.keys.getPublic(format === 'compressed', true)\n  if (format === 'hybrid') {\n    if (key[key.length - 1] % 2) {\n      key[0] = 7\n    } else {\n      key[0] = 6\n    }\n  }\n  return formatReturnValue(key, enc)\n}\n\nECDH.prototype.getPrivateKey = function (enc) {\n  return formatReturnValue(this.keys.getPrivate(), enc)\n}\n\nECDH.prototype.setPublicKey = function (pub, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(pub)) {\n    pub = new Buffer(pub, enc)\n  }\n  this.keys._importPublic(pub)\n  return this\n}\n\nECDH.prototype.setPrivateKey = function (priv, enc) {\n  enc = enc || 'utf8'\n  if (!Buffer.isBuffer(priv)) {\n    priv = new Buffer(priv, enc)\n  }\n\n  var _priv = new BN(priv)\n  _priv = _priv.toString(16)\n  this.keys = this.curve.genKeyPair()\n  this.keys._importPrivate(_priv)\n  return this\n}\n\nfunction formatReturnValue (bn, enc, len) {\n  if (!Array.isArray(bn)) {\n    bn = bn.toArray()\n  }\n  var buf = new Buffer(bn)\n  if (len && buf.length < len) {\n    var zeros = new Buffer(len - buf.length)\n    zeros.fill(0)\n    buf = Buffer.concat([zeros, buf])\n  }\n  if (!enc) {\n    return buf\n  } else {\n    return buf.toString(enc)\n  }\n}\n","var createHash = require('create-hash');\nmodule.exports = function (seed, len) {\n  var t = new Buffer('');\n  var  i = 0, c;\n  while (t.length < len) {\n    c = i2ops(i++);\n    t = Buffer.concat([t, createHash('sha1').update(seed).update(c).digest()]);\n  }\n  return t.slice(0, len);\n};\n\nfunction i2ops(c) {\n  var out = new Buffer(4);\n  out.writeUInt32BE(c,0);\n  return out;\n}","module.exports = function xor(a, b) {\n  var len = a.length;\n  var i = -1;\n  while (++i < len) {\n    a[i] ^= b[i];\n  }\n  return a\n};","var bn = require('bn.js');\nfunction withPublic(paddedMsg, key) {\n  return new Buffer(paddedMsg\n    .toRed(bn.mont(key.modulus))\n    .redPow(new bn(key.publicExponent))\n    .fromRed()\n    .toArray());\n}\n\nmodule.exports = withPublic;","var parseKeys = require('parse-asn1');\nvar randomBytes = require('randombytes');\nvar createHash = require('create-hash');\nvar mgf = require('./mgf');\nvar xor = require('./xor');\nvar bn = require('bn.js');\nvar withPublic = require('./withPublic');\nvar crt = require('browserify-rsa');\n\nvar constants = {\n  RSA_PKCS1_OAEP_PADDING: 4,\n  RSA_PKCS1_PADDIN: 1,\n  RSA_NO_PADDING: 3\n};\n\nmodule.exports = function publicEncrypt(public_key, msg, reverse) {\n  var padding;\n  if (public_key.padding) {\n    padding = public_key.padding;\n  } else if (reverse) {\n    padding = 1;\n  } else {\n    padding = 4;\n  }\n  var key = parseKeys(public_key);\n  var paddedMsg;\n  if (padding === 4) {\n    paddedMsg = oaep(key, msg);\n  } else if (padding === 1) {\n    paddedMsg = pkcs1(key, msg, reverse);\n  } else if (padding === 3) {\n    paddedMsg = new bn(msg);\n    if (paddedMsg.cmp(key.modulus) >= 0) {\n      throw new Error('data too long for modulus');\n    }\n  } else {\n    throw new Error('unknown padding');\n  }\n  if (reverse) {\n    return crt(paddedMsg, key);\n  } else {\n    return withPublic(paddedMsg, key);\n  }\n};\n\nfunction oaep(key, msg){\n  var k = key.modulus.byteLength();\n  var mLen = msg.length;\n  var iHash = createHash('sha1').update(new Buffer('')).digest();\n  var hLen = iHash.length;\n  var hLen2 = 2 * hLen;\n  if (mLen > k - hLen2 - 2) {\n    throw new Error('message too long');\n  }\n  var ps = new Buffer(k - mLen - hLen2 - 2);\n  ps.fill(0);\n  var dblen = k - hLen - 1;\n  var seed = randomBytes(hLen);\n  var maskedDb = xor(Buffer.concat([iHash, ps, new Buffer([1]), msg], dblen), mgf(seed, dblen));\n  var maskedSeed = xor(seed, mgf(maskedDb, hLen));\n  return new bn(Buffer.concat([new Buffer([0]), maskedSeed, maskedDb], k));\n}\nfunction pkcs1(key, msg, reverse){\n  var mLen = msg.length;\n  var k = key.modulus.byteLength();\n  if (mLen > k - 11) {\n    throw new Error('message too long');\n  }\n  var ps;\n  if (reverse) {\n    ps = new Buffer(k - mLen - 3);\n    ps.fill(0xff);\n  } else {\n    ps = nonZero(k - mLen - 3);\n  }\n  return new bn(Buffer.concat([new Buffer([0, reverse?1:2]), ps, new Buffer([0]), msg], k));\n}\nfunction nonZero(len, crypto) {\n  var out = new Buffer(len);\n  var i = 0;\n  var cache = randomBytes(len*2);\n  var cur = 0;\n  var num;\n  while (i < len) {\n    if (cur === cache.length) {\n      cache = randomBytes(len*2);\n      cur = 0;\n    }\n    num = cache[cur++];\n    if (num) {\n      out[i++] = num;\n    }\n  }\n  return out;\n}","var parseKeys = require('parse-asn1');\nvar mgf = require('./mgf');\nvar xor = require('./xor');\nvar bn = require('bn.js');\nvar crt = require('browserify-rsa');\nvar createHash = require('create-hash');\nvar withPublic = require('./withPublic');\nmodule.exports = function privateDecrypt(private_key, enc, reverse) {\n  var padding;\n  if (private_key.padding) {\n    padding = private_key.padding;\n  } else if (reverse) {\n    padding = 1;\n  } else {\n    padding = 4;\n  }\n  \n  var key = parseKeys(private_key);\n  var k = key.modulus.byteLength();\n  if (enc.length > k || new bn(enc).cmp(key.modulus) >= 0) {\n    throw new Error('decryption error');\n  }\n  var msg;\n  if (reverse) {\n    msg = withPublic(new bn(enc), key);\n  } else {\n    msg = crt(enc, key);\n  }\n  var zBuffer = new Buffer(k - msg.length);\n  zBuffer.fill(0);\n  msg = Buffer.concat([zBuffer, msg], k);\n  if (padding === 4) {\n    return oaep(key, msg);\n  } else if (padding === 1) {\n    return pkcs1(key, msg, reverse);\n  } else if (padding === 3) {\n    return msg;\n  } else {\n    throw new Error('unknown padding');\n  }\n};\n\nfunction oaep(key, msg){\n  var n = key.modulus;\n  var k = key.modulus.byteLength();\n  var mLen = msg.length;\n  var iHash = createHash('sha1').update(new Buffer('')).digest();\n  var hLen = iHash.length;\n  var hLen2 = 2 * hLen;\n  if (msg[0] !== 0) {\n    throw new Error('decryption error');\n  }\n  var maskedSeed = msg.slice(1, hLen + 1);\n  var maskedDb =  msg.slice(hLen + 1);\n  var seed = xor(maskedSeed, mgf(maskedDb, hLen));\n  var db = xor(maskedDb, mgf(seed, k - hLen - 1));\n  if (compare(iHash, db.slice(0, hLen))) {\n    throw new Error('decryption error');\n  }\n  var i = hLen;\n  while (db[i] === 0) {\n    i++;\n  }\n  if (db[i++] !== 1) {\n    throw new Error('decryption error');\n  }\n  return db.slice(i);\n}\n\nfunction pkcs1(key, msg, reverse){\n  var p1 = msg.slice(0, 2);\n  var i = 2;\n  var status = 0;\n  while (msg[i++] !== 0) {\n    if (i >= msg.length) {\n      status++;\n      break;\n    }\n  }\n  var ps = msg.slice(2, i - 1);\n  var p2 = msg.slice(i - 1, i);\n\n  if ((p1.toString('hex') !== '0002' && !reverse) || (p1.toString('hex') !== '0001' && reverse)){\n    status++;\n  }\n  if (ps.length < 8) {\n    status++;\n  }\n  if (status) {\n    throw new Error('decryption error');\n  }\n  return  msg.slice(i);\n}\nfunction compare(a, b){\n  a = new Buffer(a);\n  b = new Buffer(b);\n  var dif = 0;\n  var len = a.length;\n  if (a.length !== b.length) {\n    dif++;\n    len = Math.min(a.length, b.length);\n  }\n  var i = -1;\n  while (++i < len) {\n    dif += (a[i] ^ b[i]);\n  }\n  return dif;\n}","exports.publicEncrypt = require('./publicEncrypt');\nexports.privateDecrypt = require('./privateDecrypt');\n\nexports.privateEncrypt = function privateEncrypt(key, buf) {\n  return exports.publicEncrypt(key, buf, true);\n};\n\nexports.publicDecrypt = function publicDecrypt(key, buf) {\n  return exports.privateDecrypt(key, buf, true);\n};","'use strict'\n\nfunction oldBrowser () {\n  throw new Error('secure random number generation not supported by this browser\\nuse chrome, FireFox or Internet Explorer 11')\n}\nvar safeBuffer = require('safe-buffer')\nvar randombytes = require('randombytes')\nvar Buffer = safeBuffer.Buffer\nvar kBufferMaxLength = safeBuffer.kMaxLength\nvar crypto = global.crypto || global.msCrypto\nvar kMaxUint32 = Math.pow(2, 32) - 1\nfunction assertOffset (offset, length) {\n  if (typeof offset !== 'number' || offset !== offset) { // eslint-disable-line no-self-compare\n    throw new TypeError('offset must be a number')\n  }\n\n  if (offset > kMaxUint32 || offset < 0) {\n    throw new TypeError('offset must be a uint32')\n  }\n\n  if (offset > kBufferMaxLength || offset > length) {\n    throw new RangeError('offset out of range')\n  }\n}\n\nfunction assertSize (size, offset, length) {\n  if (typeof size !== 'number' || size !== size) { // eslint-disable-line no-self-compare\n    throw new TypeError('size must be a number')\n  }\n\n  if (size > kMaxUint32 || size < 0) {\n    throw new TypeError('size must be a uint32')\n  }\n\n  if (size + offset > length || size > kBufferMaxLength) {\n    throw new RangeError('buffer too small')\n  }\n}\nif ((crypto && crypto.getRandomValues) || !process.browser) {\n  exports.randomFill = randomFill\n  exports.randomFillSync = randomFillSync\n} else {\n  exports.randomFill = oldBrowser\n  exports.randomFillSync = oldBrowser\n}\nfunction randomFill (buf, offset, size, cb) {\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  if (typeof offset === 'function') {\n    cb = offset\n    offset = 0\n    size = buf.length\n  } else if (typeof size === 'function') {\n    cb = size\n    size = buf.length - offset\n  } else if (typeof cb !== 'function') {\n    throw new TypeError('\"cb\" argument must be a function')\n  }\n  assertOffset(offset, buf.length)\n  assertSize(size, offset, buf.length)\n  return actualFill(buf, offset, size, cb)\n}\n\nfunction actualFill (buf, offset, size, cb) {\n  if (process.browser) {\n    var ourBuf = buf.buffer\n    var uint = new Uint8Array(ourBuf, offset, size)\n    crypto.getRandomValues(uint)\n    if (cb) {\n      process.nextTick(function () {\n        cb(null, buf)\n      })\n      return\n    }\n    return buf\n  }\n  if (cb) {\n    randombytes(size, function (err, bytes) {\n      if (err) {\n        return cb(err)\n      }\n      bytes.copy(buf, offset)\n      cb(null, buf)\n    })\n    return\n  }\n  var bytes = randombytes(size)\n  bytes.copy(buf, offset)\n  return buf\n}\nfunction randomFillSync (buf, offset, size) {\n  if (typeof offset === 'undefined') {\n    offset = 0\n  }\n  if (!Buffer.isBuffer(buf) && !(buf instanceof global.Uint8Array)) {\n    throw new TypeError('\"buf\" argument must be a Buffer or Uint8Array')\n  }\n\n  assertOffset(offset, buf.length)\n\n  if (size === undefined) size = buf.length - offset\n\n  assertSize(size, offset, buf.length)\n\n  return actualFill(buf, offset, size)\n}\n","'use strict'\n\nexports.randomBytes = exports.rng = exports.pseudoRandomBytes = exports.prng = require('randombytes')\nexports.createHash = exports.Hash = require('create-hash')\nexports.createHmac = exports.Hmac = require('create-hmac')\n\nvar algos = require('browserify-sign/algos')\nvar algoKeys = Object.keys(algos)\nvar hashes = ['sha1', 'sha224', 'sha256', 'sha384', 'sha512', 'md5', 'rmd160'].concat(algoKeys)\nexports.getHashes = function () {\n  return hashes\n}\n\nvar p = require('pbkdf2')\nexports.pbkdf2 = p.pbkdf2\nexports.pbkdf2Sync = p.pbkdf2Sync\n\nvar aes = require('browserify-cipher')\n\nexports.Cipher = aes.Cipher\nexports.createCipher = aes.createCipher\nexports.Cipheriv = aes.Cipheriv\nexports.createCipheriv = aes.createCipheriv\nexports.Decipher = aes.Decipher\nexports.createDecipher = aes.createDecipher\nexports.Decipheriv = aes.Decipheriv\nexports.createDecipheriv = aes.createDecipheriv\nexports.getCiphers = aes.getCiphers\nexports.listCiphers = aes.listCiphers\n\nvar dh = require('diffie-hellman')\n\nexports.DiffieHellmanGroup = dh.DiffieHellmanGroup\nexports.createDiffieHellmanGroup = dh.createDiffieHellmanGroup\nexports.getDiffieHellman = dh.getDiffieHellman\nexports.createDiffieHellman = dh.createDiffieHellman\nexports.DiffieHellman = dh.DiffieHellman\n\nvar sign = require('browserify-sign')\n\nexports.createSign = sign.createSign\nexports.Sign = sign.Sign\nexports.createVerify = sign.createVerify\nexports.Verify = sign.Verify\n\nexports.createECDH = require('create-ecdh')\n\nvar publicEncrypt = require('public-encrypt')\n\nexports.publicEncrypt = publicEncrypt.publicEncrypt\nexports.privateEncrypt = publicEncrypt.privateEncrypt\nexports.publicDecrypt = publicEncrypt.publicDecrypt\nexports.privateDecrypt = publicEncrypt.privateDecrypt\n\n// the least I can do is make error messages for the rest of the node.js/crypto api.\n// ;[\n//   'createCredentials'\n// ].forEach(function (name) {\n//   exports[name] = function () {\n//     throw new Error([\n//       'sorry, ' + name + ' is not implemented yet',\n//       'we accept pull requests',\n//       'https://github.com/crypto-browserify/crypto-browserify'\n//     ].join('\\n'))\n//   }\n// })\n\nvar rf = require('randomfill')\n\nexports.randomFill = rf.randomFill\nexports.randomFillSync = rf.randomFillSync\n\nexports.createCredentials = function () {\n  throw new Error([\n    'sorry, createCredentials is not implemented yet',\n    'we accept pull requests',\n    'https://github.com/crypto-browserify/crypto-browserify'\n  ].join('\\n'))\n}\n\nexports.constants = {\n  'DH_CHECK_P_NOT_SAFE_PRIME': 2,\n  'DH_CHECK_P_NOT_PRIME': 1,\n  'DH_UNABLE_TO_CHECK_GENERATOR': 4,\n  'DH_NOT_SUITABLE_GENERATOR': 8,\n  'NPN_ENABLED': 1,\n  'ALPN_ENABLED': 1,\n  'RSA_PKCS1_PADDING': 1,\n  'RSA_SSLV23_PADDING': 2,\n  'RSA_NO_PADDING': 3,\n  'RSA_PKCS1_OAEP_PADDING': 4,\n  'RSA_X931_PADDING': 5,\n  'RSA_PKCS1_PSS_PADDING': 6,\n  'POINT_CONVERSION_COMPRESSED': 2,\n  'POINT_CONVERSION_UNCOMPRESSED': 4,\n  'POINT_CONVERSION_HYBRID': 6\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nvar extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}function 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function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t]}}function assertArgumentIsTensor(e,t,n){assert(e instanceof Tensor,\"Argument '\"+t+\"' passed to '\"+n+\"' must be a Tensor, but got \"+typeof e+\".\")}function assertArgumentsAreTensors(e,t){var n=function(n){var r=e[n];Array.isArray(r)?r.forEach(function(e,r){assertArgumentIsTensor(e,n+\"[\"+r+\"]\",t)}):assertArgumentIsTensor(r,n,t)};for(var r in e)n(r)}function shuffle(e){for(var t=e.length,n=0,r=0;t>0;)r=Math.random()*t|0,n=e[--t],e[t]=e[r],e[r]=n}function clamp(e,t,n){return Math.max(e,Math.min(t,n))}function randUniform(e,t){return Math.random()*(t-e)+e}function distSquared(e,t){for(var n=0,r=0;r<e.length;r++){var a=Number(e[r])-Number(t[r]);n+=a*a}return n}function assert(e,t){if(!e)throw new Error(t)}function assertShapesMatch(e,t,n){void 0===n&&(n=\"\"),assert(arraysEqual(e,t),n+\" Shapes \"+e+\" and \"+t+\" must match\")}function assertTypesMatch(e,t){assert(e.dtype===t.dtype,\" The dtypes of the first(\"+e.dtype+\") and second(\"+t.dtype+\") input must match\")}function flatten(e,t){if(void 0===t&&(t=[]),Array.isArray(e))for(var n=0;n<e.length;++n)flatten(e[n],t);else t.push(e);return t}function inferShape(e){if(isTypedArray(e))return[e.length];if(!Array.isArray(e))return[];for(var t=[];e instanceof Array;)t.push(e.length),e=e[0];return t}function sizeFromShape(e){if(0===e.length)return 1;for(var t=e[0],n=1;n<e.length;n++)t*=e[n];return t}function isScalarShape(e){return 0===e.length}function arraysEqual(e,t){if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function isInt(e){return e%1==0}function tanh(e){if(null!=Math.tanh)return Math.tanh(e);if(e===1/0)return 1;if(e===-1/0)return-1;var t=Math.exp(2*e);return(t-1)/(t+1)}function sizeToSquarishShape(e){for(var t=Math.floor(Math.sqrt(e));t>1;--t)if(e%t==0)return[t,e/t];return[1,e]}function createShuffledIndices(e){for(var t=new Uint32Array(e),n=0;n<e;++n)t[n]=n;return shuffle(t),t}function rightPad(e,t){return t<=e.length?e:e+\" \".repeat(t-e.length)}function repeatedTry(e,t,n){return void 0===t&&(t=function(e){return 0}),new Promise(function(r,a){var o=0,i=function(){if(e())r();else{var s=t(++o);null!=n&&o>=n?a():setTimeout(i,s)}};i()})}function getQueryParams(e){var t={};return e.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];return decodeParam(t,n[0],n[1]),n.join(\"=\")}),t}function decodeParam(e,t,n){e[decodeURIComponent(t)]=decodeURIComponent(n||\"\")}function inferFromImplicitShape(e,t){for(var n=1,r=-1,a=0;a<e.length;++a)if(e[a]>0)n*=e[a];else if(-1===e[a]){if(-1!==r)throw Error(\"Shapes can only have 1 implicit size. Found - 1 at dim \"+r+\" and dim \"+a);r=a}else if(e[a]<=0)throw Error(\"Shapes can not be <= 0. Found \"+e[a]+\" at dim \"+a);if(-1===r){if(t>0&&t!==n)throw Error(\"Size(\"+t+\") must match the product of shape \"+e);return e}if(t%n!=0)throw Error(\"The implicit shape can't be a fractional number. Got \"+t+\" / \"+n);var o=e.slice();return o[r]=t/n,o}function squeezeShape(e,t){for(var n=[],r=[],a=0,o=0;o<e.length;++o){if(null!=t){if(t[a]===o&&e[o]>1)throw new Error(\"Can't squeeze axis \"+o+\" since its dim '\"+e[o]+\"' is not 1\");(null==t[a]||t[a]>o)&&1===e[o]&&(n.push(e[o]),r.push(o)),t[a]<=o&&a++}e[o]>1&&(n.push(e[o]),r.push(o))}return{newShape:n,keptDims:r}}function getTypedArrayFromDType(e,t){var n=null;if(null==e||\"float32\"===e)n=new Float32Array(t);else if(\"int32\"===e)n=new Int32Array(t);else{if(\"bool\"!==e)throw new Error(\"Unknown data type \"+e);n=new Uint8Array(t)}return n}function isTensorInList(e,t){for(var n=0;n<t.length;n++)if(t[n].id===e.id)return!0;return!1}function checkForNaN(e,t,n){if(\"float32\"===t)for(var r=0;r<e.length;r++)if(isNaN(e[r]))throw Error(\"The result of the '\"+n+\"' has NaNs.\")}function flattenNameArrayMap(e,t){var n=[];if(e instanceof Tensor)n.push(e);else for(var r=e,a=0;a<t.length;a++)n.push(r[t[a]]);return n}function 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walkTensorContainer(e,t,n){if(null!=e)if(e instanceof Tensor)t.push(e);else if(isIterable(e)){var r=e;for(var a in r){var o=r[a];n.has(o)||(n.add(o),walkTensorContainer(o,t,n))}}}function nearestDivisor(e,t){for(var n=t;n<e;++n)if(e%n==0)return n;return e}function isIterable(e){return Array.isArray(e)||\"object\"==typeof e}var util=Object.freeze({assertArgumentsAreTensors:assertArgumentsAreTensors,shuffle:shuffle,clamp:clamp,randUniform:randUniform,distSquared:distSquared,assert:assert,assertShapesMatch:assertShapesMatch,assertTypesMatch:assertTypesMatch,flatten:flatten,inferShape:inferShape,sizeFromShape:sizeFromShape,isScalarShape:isScalarShape,arraysEqual:arraysEqual,isInt:isInt,tanh:tanh,sizeToSquarishShape:sizeToSquarishShape,createShuffledIndices:createShuffledIndices,rightPad:rightPad,repeatedTry:repeatedTry,getQueryParams:getQueryParams,inferFromImplicitShape:inferFromImplicitShape,squeezeShape:squeezeShape,getTypedArrayFromDType:getTypedArrayFromDType,isTensorInList:isTensorInList,checkForNaN:checkForNaN,flattenNameArrayMap:flattenNameArrayMap,unflattenToNameArrayMap:unflattenToNameArrayMap,hasEncodingLoss:hasEncodingLoss,copyTypedArray:copyTypedArray,isTypedArray:isTypedArray,bytesPerElement:bytesPerElement,isFunction:isFunction,getTensorsInContainer:getTensorsInContainer,nearestDivisor:nearestDivisor}),FORMAT_LIMIT_NUM_VALS=20,FORMAT_NUM_FIRST_LAST_VALS=3,FORMAT_NUM_SIG_DIGITS=7;function tensorToString(e,t){var n=e.dataSync(),r=computeMaxSizePerColumn(e),a=subTensorToString(n,e.shape,e.strides,r),o=[\"Tensor\"];return t&&(o.push(\"  dtype: \"+e.dtype),o.push(\"  rank: \"+e.rank),o.push(\"  shape: [\"+e.shape+\"]\"),o.push(\"  values:\")),o.push(a.map(function(e){return\"    \"+e}).join(\"\\n\")),o.join(\"\\n\")}function computeMaxSizePerColumn(e){var t=e.dataSync(),n=e.size,r=e.strides[e.strides.length-1],a=new Array(r).fill(0);if(e.rank>1)for(var o=0;o<n/r;o++)for(var i=o*r,s=0;s<r;s++)a[s]=Math.max(a[s],valToString(t[i+s],0).length);return a}function valToString(e,t){return rightPad(parseFloat(e.toFixed(FORMAT_NUM_SIG_DIGITS)).toString(),t)}function subTensorToString(e,t,n,r,a){void 0===a&&(a=!0);var o=t[0],i=t.length;if(0===i)return[e[0].toString()];if(1===i){if(o>FORMAT_LIMIT_NUM_VALS){var s=Array.from(e.subarray(0,FORMAT_NUM_FIRST_LAST_VALS)),u=Array.from(e.subarray(o-FORMAT_NUM_FIRST_LAST_VALS,o));return[\"[\"+s.map(function(e,t){return valToString(e,r[t])}).join(\", \")+\", ..., \"+u.map(function(e,t){return valToString(e,r[o-FORMAT_NUM_FIRST_LAST_VALS+t])}).join(\", \")+\"]\"]}return[\"[\"+Array.from(e).map(function(e,t){return valToString(e,r[t])}).join(\", \")+\"]\"]}var l=t.slice(1),c=n.slice(1),d=n[0],p=[];if(o>FORMAT_LIMIT_NUM_VALS){for(var h=0;h<FORMAT_NUM_FIRST_LAST_VALS;h++){var f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,!1))}p.push(\"...\");for(h=o-FORMAT_NUM_FIRST_LAST_VALS;h<o;h++){f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,h===o-1))}}else for(h=0;h<o;h++){var g;f=(g=h*d)+d;p.push.apply(p,subTensorToString(e.subarray(g,f),l,c,r,h===o-1))}var m=2===i?\",\":\"\";p[0]=\"[\"+p[0]+m;for(h=1;h<p.length-1;h++)p[h]=\" \"+p[h]+m;var v=\",\\n\";for(h=2;h<i;h++)v+=\"\\n\";return p[p.length-1]=\" \"+p[p.length-1]+\"]\"+(a?\"\":v),p}function axesAreInnerMostDims(e,t){for(var n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function 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n.map(function(n){u[t]=n;var r=e.slice(s,u);return s[t]+=n,r.reshape(a)})},e.split=function(e,t,n){var r;void 0===n&&(n=0),assertArgumentsAreTensors({x:e},\"split\"),n=parseAxisParam(n,e.shape)[0],\"number\"==typeof t?(assert(e.shape[n]%t==0,\"Number of splits must evenly divide the axis.\"),r=Array(t).fill(e.shape[n]/t)):(assert(e.shape[n]===t.reduce(function(e,t){return e+t}),\"The sum of sizes must match the size of the axis dimension.\"),r=t);var a=Array(e.rank).fill(0),o=e.shape.slice();return r.map(function(t){o[n]=t;var r=e.slice(a,o);return a[n]+=t,r})},e.cumsum=function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1),assertArgumentsAreTensors({x:e},\"cumsum\");var a=getAxesPermutation([t|=0],e.rank),o=e;null!=a&&(o=e.transpose(a));var i=getInnerMostAxes(1,e.rank)[0],s=ENV.engine.runKernel(function(e){return e.cumsum(o,i,n,r)},{permutedX:o},function(e){return{permutedX:function(){return e.cumsum(t,n,!r)}}});return 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noConversionNeeded(e,t)?e:(Array.isArray(e)&&(e=flatten(e)),copyTypedArray(e,t))}function noConversionNeeded(e,t){return e instanceof Float32Array&&\"float32\"===t||e instanceof Int32Array&&\"int32\"===t||e instanceof Uint8Array&&\"bool\"===t}function arrayRange(e,t){for(var n=[],r=e;r<t;++r)n.push(r);return n}function arrayConcat(e){for(var t=[],n=0;n<e.length;++n)for(var r=0;r<e[n].length;++r)t.push(e[n][r]);return t}var BatchNormOps=function(){function e(){}return e.batchNormalization2d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(2===t.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+t.rank+\".\"),assert(2===n.rank||1===n.rank,\"Error in batchNormalization2D: mean must be rank 2 or rank 1 but got rank \"+n.rank+\".\"),assert(2===r.rank||1===r.rank,\"Error in batchNormalization2D: variance must be rank 2 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(2===o.rank||1===o.rank,\"Error in batchNormalization2D: scale must be rank 2 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(2===i.rank||1===i.rank,\"Error in batchNormalization2D: offset must be rank 2 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization3d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(3===t.rank,\"Error in batchNormalization3D: x must be rank 3 but got rank \"+t.rank+\".\"),assert(3===n.rank||1===n.rank,\"Error in batchNormalization3D: mean must be rank 3 or rank 1 but got rank \"+n.rank+\".\"),assert(3===r.rank||1===r.rank,\"Error in batchNormalization3D: variance must be rank 3 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(3===o.rank||1===o.rank,\"Error in batchNormalization3D: scale must be rank 3 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(3===i.rank||1===i.rank,\"Error in batchNormalization3D: offset must be rank 3 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization4d=function(t,n,r,a,o,i){return void 0===a&&(a=.001),assert(4===t.rank,\"Error in batchNormalization4D: x must be rank 4 but got rank \"+t.rank+\".\"),assert(4===n.rank||1===n.rank,\"Error in batchNormalization4D: mean must be rank 4 or rank 1 but got rank \"+n.rank+\".\"),assert(4===r.rank||1===r.rank,\"Error in batchNormalization4D: variance must be rank 4 or rank 1 but got rank \"+r.rank+\".\"),null!=o&&assert(4===o.rank||1===o.rank,\"Error in batchNormalization4D: scale must be rank 4 or rank 1 but got rank \"+o.rank+\".\"),null!=i&&assert(4===i.rank||1===i.rank,\"Error in batchNormalization4D: offset must be rank 4 or rank 1 but got rank \"+i.rank+\".\"),e.batchNormalization(t,n,r,a,o,i)},e.batchNormalization=function(e,t,n,r,a,o){var i;void 0===r&&(r=.001),assertArgumentsAreTensors({x:e,mean:t,variance:n},\"batchNormalization\"),null!=a&&assertArgumentsAreTensors({scale:a},\"batchNormalization\"),null!=o&&assertArgumentsAreTensors({offset:o},\"batchNormalization\"),assert(t.rank===n.rank,\"Batch normalization gradient requires mean and variance to have equal ranks.\"),assert(null==o||t.rank===o.rank,\"Batch normalization gradient requires mean and offset to have equal ranks.\"),assert(null==a||t.rank===a.rank,\"Batch normalization gradient requires mean and scale to have equal ranks.\"),i=0===e.rank||1===e.rank?e.as4D(1,1,1,e.size):2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e;return ENV.engine.runKernel(function(e){return e.batchNormalization(i,batchnormReshape4D(t),batchnormReshape4D(n),r,batchnormReshape4D(a),batchnormReshape4D(o))},{x:e,mean:t,variance:n,scale:a,offset:o},function(o){var s=null==a?ArrayOps.scalar(1):a,u=getReductionAxes(t.shape,i.shape),l=[];if(1===t.rank){for(var c=0;c<i.shape.length-1;++c)l.push(i.shape[c]);l.push(1)}var d=e.sub(t),p=o.mul(s),h=rsqrt(n.add(ArrayOps.scalar(r))),f=h.mul(h).mul(h).mul(ArrayOps.scalar(-.5));return{x:function(){return 1===t.rank?o.mul(ArrayOps.tile(h.as4D(1,1,1,t.shape[0]),l)).mul(s).reshape(e.shape):o.mul(h).mul(s).reshape(e.shape)},mean:function(){var e=h.mul(ArrayOps.scalar(-1)).mul(p);return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)},variance:function(){var e=f.mul(d).mul(p);return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)},scale:function(){var e=d.mul(h),n=o.mul(e);return 1===t.rank&&(n=n.sum(u)),n.reshape(t.shape)},offset:function(){var e=o;return 1===t.rank&&(e=e.sum(u)),e.reshape(t.shape)}}}).reshape(e.shape)},__decorate([operation],e,\"batchNormalization2d\",null),__decorate([operation],e,\"batchNormalization3d\",null),__decorate([operation],e,\"batchNormalization4d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"})],e,\"batchNormalization\",null),e}();function batchnormReshape4D(e){return null==e?null:0===e.rank?e.as1D():1===e.rank?e:2===e.rank?e.as4D(1,1,e.shape[0],e.shape[1]):3===e.rank?e.as4D(1,e.shape[0],e.shape[1],e.shape[2]):e}function computePool2DInfo(e,t,n,r,a,o){void 0===o&&(o=\"channelsLast\");var i,s=parseTupleParam(t),u=s[0],l=s[1];if(\"channelsLast\"===o)i=[u,l,e[3],e[3]];else{if(\"channelsFirst\"!==o)throw new Error(\"Unknown dataFormat \"+o);i=[u,l,e[1],e[1]]}return computeConv2DInfo(e,i,n,1,r,a,!1,o)}function computeConv2DInfo(e,t,n,r,a,o,i,s){void 0===i&&(i=!1),void 0===s&&(s=\"channelsLast\");var u=[-1,-1,-1,-1],l=u[0],c=u[1],d=u[2],p=u[3];if(\"channelsLast\"===s)l=e[0],c=e[1],d=e[2],p=e[3];else{if(\"channelsFirst\"!==s)throw new Error(\"Unknown dataFormat \"+s);l=e[0],p=e[1],c=e[2],d=e[3]}var h,f=t[0],g=t[1],m=t[3],v=parseTupleParam(n),y=v[0],x=v[1],b=parseTupleParam(r),E=b[0],S=b[1],A=getPadAndOutInfo(a,c,d,y,x,getEffectiveFilterSize(f,E),getEffectiveFilterSize(g,S),o),T=A.padInfo,w=A.outHeight,_=A.outWidth,R=i?m*p:m;return\"channelsFirst\"===s?h=[l,R,w,_]:\"channelsLast\"===s&&(h=[l,w,_,R]),{batchSize:l,dataFormat:s,inHeight:c,inWidth:d,inChannels:p,outHeight:w,outWidth:_,outChannels:R,padInfo:T,strideHeight:y,strideWidth:x,filterHeight:f,filterWidth:g,dilationHeight:E,dilationWidth:S,inShape:e,outShape:h,filterShape:t}}function computeOutputShape3D(e,t,n,r,a,o){null==a&&(a=computeDefaultPad(e,t,r));var i=e[0],s=e[1],u=conditionalRound((i-t+2*a)/r+1,o);assert(isInt(u),\"The output # of rows (\"+u+\") must be an integer. Change the stride and/or zero pad parameters\");var l=conditionalRound((s-t+2*a)/r+1,o);return assert(isInt(l),\"The output # of columns (\"+l+\") must be an integer. Change the stride and/or zero pad parameters\"),[u,l,n]}function computeDefaultPad(e,t,n,r){void 0===r&&(r=1);var a=getEffectiveFilterSize(t,r);return Math.floor((e[0]*(n-1)-n+a)/2)}function parseTupleParam(e){return\"number\"==typeof e?[e,e]:e}function getEffectiveFilterSize(e,t){return t<=1?e:e+(e-1)*(t-1)}function getPadAndOutInfo(e,t,n,r,a,o,i,s){var u,l,c;if(\"number\"==typeof e){u={top:e,bottom:e,left:e,right:e,type:0===e?\"VALID\":\"NUMBER\"};var d=computeOutputShape3D([t,n,1],o,1,r,e,s);l=d[0],c=d[1]}else if(\"same\"===e){var p=((l=Math.ceil(t/r))-1)*r+o-t,h=((c=Math.ceil(n/a))-1)*a+i-n,f=Math.floor(p/2),g=p-f,m=Math.floor(h/2);u={top:f,bottom:g,left:m,right:h-m,type:\"SAME\"}}else{if(\"valid\"!==e)throw Error(\"Unknown padding parameter: \"+e);u={top:0,bottom:0,left:0,right:0,type:\"VALID\"},l=Math.ceil((t-o+1)/r),c=Math.ceil((n-i+1)/a)}return{padInfo:u,outHeight:l,outWidth:c}}function conditionalRound(e,t){if(!t)return e;switch(t){case\"round\":return Math.round(e);case\"ceil\":return Math.ceil(e);case\"floor\":return Math.floor(e);default:throw new Error(\"Unknown roundingMode \"+t)}}var ConvOps=function(){function e(){}return e.conv1d=function(t,n,r,a,o,i,s){void 0===o&&(o=\"NWC\"),void 0===i&&(i=1),assertArgumentsAreTensors({x:t,filter:n},\"conv1d\");var u=t,l=!1;2===t.rank&&(l=!0,u=t.as3D(1,t.shape[0],t.shape[1])),assert(3===u.rank,\"Error in conv1d: input must be rank 3, but got rank \"+u.rank+\".\"),assert(3===n.rank,\"Error in conv1d: filter must be rank 3, but got rank \"+n.rank+\".\"),null!=s&&assert(isInt(a),\"Error in conv1d: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+a+\".\"),assert(u.shape[2]===n.shape[1],\"Error in conv1d: depth of input (\"+u.shape[2]+\") must match input depth for filter \"+n.shape[1]+\".\"),assert(eitherStridesOrDilationsAreOne(r,i),\"Error in conv1D: Either stride or dilation must be 1. Got stride \"+r+\" and dilation '\"+i+\"'\"),assert(\"NWC\"===o,\"Error in conv1d: got dataFormat of \"+o+\" but only NWC is currently supported.\");var c=n.as4D(1,n.shape[0],n.shape[1],n.shape[2]),d=u.as4D(u.shape[0],1,u.shape[1],u.shape[2]),p=[1,r],h=[1,i],f=e.conv2d(d,c,p,a,\"NHWC\",h,s);return l?f.as2D(f.shape[2],f.shape[3]):f.as3D(f.shape[0],f.shape[2],f.shape[3])},e.conv2d=function(t,n,r,a,o,i,s){void 0===o&&(o=\"NHWC\"),void 0===i&&(i=[1,1]),assertArgumentsAreTensors({x:t,filter:n},\"conv2d\");var u=t,l=!1;3===t.rank&&(l=!0,u=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===u.rank,\"Error in conv2d: input must be rank 4, but got rank \"+u.rank+\".\"),assert(4===n.rank,\"Error in conv2d: filter must be rank 4, but got rank \"+n.rank+\".\"),null!=s&&assert(isInt(a),\"Error in conv2d: pad must be an integer when using, dimRoundingMode \"+s+\" but got pad \"+a+\".\"),assert(u.shape[3]===n.shape[2],\"Error in conv2d: depth of input (\"+u.shape[3]+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(eitherStridesOrDilationsAreOne(r,i),\"Error in conv2D: Either strides or dilations must be 1. Got strides \"+r+\" and dilations '\"+i+\"'\"),assert(\"NHWC\"===o,\"Error in conv2d: got dataFormat of \"+o+\" but only NHWC is currently supported.\");var c=computeConv2DInfo(u.shape,n.shape,r,i,a,s),d=ENV.engine.runKernel(function(e){return e.conv2d(u,n,c)},{x:u,filter:n},function(t){return assert(tupleValuesAreOne(i),\"Error in gradient of conv2D: dilation rates greater than 1 are notyet supported in gradients. Got dilations '\"+i+\"'\"),{x:function(){return e.conv2dDerInput(u.shape,t,n,r,a)},filter:function(){return e.conv2dDerFilter(u,t,n.shape,r,a)}}});return l?d.as3D(d.shape[1],d.shape[2],d.shape[3]):d},e.conv2dDerInput=function(e,t,n,r,a,o){assertArgumentsAreTensors({dy:t,filter:n},\"conv2dDerInput\"),assert(e.length===t.rank,\"Length of inShape (\"+e.length+\") and rank of dy (\"+t.rank+\") must match\");var i=e,s=t,u=!1;3===t.rank&&(u=!0,s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=[1,e[0],e[1],e[2]]);var l=i[3],c=s.shape[3];assert(4===i.length,\"Error in conv2dDerInput: inShape must be length 4, but got length \"+i.length+\".\"),assert(4===s.rank,\"Error in conv2dDerInput: dy must be rank 4, but got rank \"+s.rank),assert(4===n.rank,\"Error in conv2dDerInput: filter must be rank 4, but got rank \"+n.rank),assert(l===n.shape[2],\"Error in conv2dDerInput: depth of input (\"+l+\") must match input depth for filter \"+n.shape[2]+\".\"),assert(c===n.shape[3],\"Error in conv2dDerInput: depth of output (\"+c+\") must match output depth for filter \"+n.shape[3]+\".\"),null!=o&&assert(isInt(a),\"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var d=computeConv2DInfo(i,n.shape,r,1,a,o),p=ENV.engine.runKernel(function(e){return e.conv2dDerInput(s,n,d)},{dy4D:s});return u?p.as3D(p.shape[1],p.shape[2],p.shape[3]):p},e.conv2dDerFilter=function(e,t,n,r,a,o){assertArgumentsAreTensors({x:e,dy:t},\"conv2dDerFilter\");var i=e;3===e.rank&&(i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=t;3===s.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in conv2dDerFilter: input must be rank 4, but got shape \"+i.shape+\".\"),assert(4===s.rank,\"Error in conv2dDerFilter: dy must be rank 4, but got shape \"+s.shape+\".\"),assert(4===n.length,\"Error in conv2dDerFilter: filterShape must be length 4, but got \"+n+\".\"),assert(i.shape[3]===n[2],\"Error in conv2dDerFilter: depth of input \"+i.shape[3]+\") must match input depth in filter (\"+n[2]+\".\"),assert(s.shape[3]===n[3],\"Error in conv2dDerFilter: depth of dy (\"+s.shape[3]+\") must match output depth for filter (\"+n[3]+\").\"),null!=o&&assert(isInt(a),\"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computeConv2DInfo(i.shape,n,r,1,a,o);return ENV.engine.runKernel(function(e){return e.conv2dDerFilter(i,s,u)},{x4D:i,dy4D:s})},e.conv2dTranspose=function(t,n,r,a,o,i){return assertArgumentsAreTensors({x:t,filter:n},\"conv2dTranspose\"),e.conv2dDerInput(r,t,n,a,o,i)},e.depthwiseConv2d=function(e,t,n,r,a,o,i){void 0===a&&(a=\"NHWC\"),void 0===o&&(o=[1,1]),assertArgumentsAreTensors({x:e,filter:t},\"depthwiseConv2d\");var s=e,u=!1;3===e.rank&&(u=!0,s=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),assert(4===s.rank,\"Error in depthwiseConv2d: input must be rank 4, but got rank \"+s.rank+\".\"),assert(4===t.rank,\"Error in depthwiseConv2d: filter must be rank 4, but got rank \"+t.rank+\".\"),assert(s.shape[3]===t.shape[2],\"Error in depthwiseConv2d: number of input channels (\"+s.shape[3]+\") must match the inChannels dimension in filter \"+t.shape[2]+\".\"),null==o&&(o=[1,1]),assert(eitherStridesOrDilationsAreOne(n,o),\"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides \"+n+\" and dilations '\"+o+\"'\"),null!=i&&assert(isInt(r),\"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+r+\".\");var l=computeConv2DInfo(s.shape,t.shape,n,o,r,i,!0),c=ENV.engine.runKernel(function(e){return e.depthwiseConv2D(s,t,l)},{x:s,filter:t},function(e){return assert(tupleValuesAreOne(o),\"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '\"+o+\"'\"),{x:function(){return depthwiseConv2dDerInput(s.shape,e,t,l)},filter:function(){return depthwiseConv2dDerFilter(s,e,t.shape,l)}}});return u?c.as3D(c.shape[1],c.shape[2],c.shape[3]):c},e.separableConv2d=function(t,n,r,a,o,i,s){void 0===i&&(i=[1,1]),void 0===s&&(s=\"NHWC\"),assertArgumentsAreTensors({x:t,depthwiseFilter:n,pointwiseFilter:r},\"separableConv2d\");var u=t,l=!1;if(3===t.rank&&(l=!0,u=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),\"NCHW\"===s)throw new Error(\"separableConv2d currently does not support dataFormat NCHW; only NHWC is supported\");assert(4===u.rank,\"Error in separableConv2d: input must be rank 4, but got rank \"+u.rank+\".\"),assert(4===n.rank,\"Error in separableConv2d: depthwise filter must be rank 4, but got rank \"+n.rank+\".\"),assert(4===r.rank,\"Error in separableConv2d: pointwise filter must be rank 4, but got rank \"+n.rank+\".\"),assert(1===r.shape[0],\"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got \"+r.shape[0]+\".\"),assert(1===r.shape[1],\"Error in separableConv2d: the second dimension of pointwise filter  must be 1, but got \"+r.shape[1]+\".\");var c=n.shape[2],d=n.shape[3];assert(r.shape[2]===c*d,\"Error in separableConv2d: the third dimension of pointwise filter must be \"+c*d+\", but got \"+r.shape[2]+\".\");var p=e.depthwiseConv2d(u,n,a,o,s,i),h=e.conv2d(p,r,1,\"valid\",s);return l?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h},__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv1d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv2d\",null),__decorate([operation],e,\"conv2dDerInput\",null),__decorate([operation],e,\"conv2dDerFilter\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"conv2dTranspose\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"depthwiseConv2d\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"separableConv2d\",null),e}();function parseTupleParam$1(e){return\"number\"==typeof e?[e,e]:e}function tupleValuesAreOne(e){var t=parseTupleParam$1(e),n=t[0],r=t[1];return 1===n&&1===r}function eitherStridesOrDilationsAreOne(e,t){return tupleValuesAreOne(e)||tupleValuesAreOne(t)}function depthwiseConv2dDerInput(e,t,n,r){var a=t,o=!1;3===t.rank&&(o=!0,a=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var i=ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerInput(a,n,r)},{dy4D:a});return o?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}function depthwiseConv2dDerFilter(e,t,n,r){var a=e;3===e.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t;return 3===o.rank&&(o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),ENV.engine.runKernel(function(e){return e.depthwiseConv2DDerFilter(a,o,r)},{x4D:a,dy4D:o})}var Reduction,ImageOps=function(){function e(){}return e.resizeBilinear=function(e,t,n){void 0===n&&(n=!1),assertArgumentsAreTensors({images:e},\"resizeBilinear\"),assert(3===e.rank||4===e.rank,\"Error in resizeBilinear: x must be rank 3 or 4, but got rank \"+e.rank+\".\"),assert(2===t.length,\"Error in resizeBilinear: new shape must 2D, but got shape \"+t+\".\");var r=e,a=!1;3===e.rank&&(a=!0,r=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t[0],i=t[1],s=ENV.engine.runKernel(function(e,t){return e.resizeBilinear(r,o,i,n)},{batchImages:r},function(e,t){return{batchImages:function(){return ENV.engine.runKernel(function(t){return t.resizeBilinearBackprop(e,r,n)},{})}}});return a?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},e.resizeNearestNeighbor=function(e,t,n){void 0===n&&(n=!1),assertArgumentsAreTensors({images:e},\"resizeNearestNeighbor\"),assert(3===e.rank||4===e.rank,\"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank \"+e.rank+\".\"),assert(2===t.length,\"Error in resizeNearestNeighbor: new shape must 2D, but got shape \"+t+\".\"),assert(\"float32\"===e.dtype||\"int32\"===e.dtype,\"`images` must have `int32` or `float32` as dtype\");var r=e,a=!1;3===e.rank&&(a=!0,r=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var o=t[0],i=t[1],s=ENV.engine.runKernel(function(e){return e.resizeNearestNeighbor(r,o,i,n)},{batchImages:r});return a?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},__decorate([doc({heading:\"Operations\",subheading:\"Images\",namespace:\"image\"}),operation],e,\"resizeBilinear\",null),__decorate([doc({heading:\"Operations\",subheading:\"Images\",namespace:\"image\"}),operation],e,\"resizeNearestNeighbor\",null),e}(),Tracking=function(){function e(){}return e.tidy=function(e,t,n){void 0===n&&(n=!1);var r=null;if(null==t){if(\"function\"!=typeof e)throw new Error(\"Please provide a function to tidy()\");t=e}else{if(\"string\"!=typeof e&&!(e instanceof String))throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");if(\"function\"!=typeof t)throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");r=e}ENV.engine.startScope(r,n);var a=t();return a instanceof Promise&&console.error(\"Cannot return a Promise inside of tidy.\"),ENV.engine.endScope(a,n),a},e.dispose=function(e){getTensorsInContainer(e).forEach(function(e){return e.dispose()})},e.keep=function(e){return ENV.engine.keep(e)},e.time=function(e){return ENV.engine.time(e)},__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"tidy\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"dispose\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"keep\",null),__decorate([doc({heading:\"Performance\",subheading:\"Timing\"})],e,\"time\",null),e}(),LinalgOps=function(){function e(){}return e.gramSchmidt=function(e){var t;if(Array.isArray(e)){t=!1,assert(null!=e&&e.length>0,\"Gram-Schmidt process: input must not be null, undefined, or empty\");for(var n=e[0].shape[0],r=1;r<e.length;++r)assert(e[r].shape[0]===n,\"Gram-Schmidt: Non-unique lengths found in the input vectors: (\"+e[r].shape[0]+\" vs. \"+n+\")\")}else t=!0,e=split(e,e.shape[0],0).map(function(e){return squeeze(e,[0])});assert(e.length<=e[0].shape[0],\"Gram-Schmidt: Number of vectors (\"+e.length+\") exceeds number of dimensions (\"+e[0].shape[0]+\").\");var a=[],o=e,i=function(e){a.push(Tracking.tidy(function(){var t=o[e];if(e>0)for(var n=0;n<e;++n){var r=sum(a[n].mulStrict(t)).mul(a[n]);t=t.sub(r)}return t.div(norm(t,\"euclidean\"))}))};for(r=0;r<e.length;++r)i(r);return t?stack(a,0):a},__decorate([doc({heading:\"Operations\",subheading:\"Linear Algebra\"}),operation],e,\"gramSchmidt\",null),e}();!function(e){e[e.NONE=0]=\"NONE\",e[e.MEAN=1]=\"MEAN\",e[e.SUM=2]=\"SUM\",e[e.SUM_BY_NONZERO_WEIGHTS=3]=\"SUM_BY_NONZERO_WEIGHTS\"}(Reduction||(Reduction={}));var LossOps=function(){function e(){}return e.computeWeightedLoss=function(e,t,n){void 0===n&&(n=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({losses:e},\"computeWeightedLoss\"),null!=t&&assertArgumentsAreTensors({weights:t},\"computeWeightedLoss\");var r=null==t?e:e.mul(t);if(n===Reduction.NONE)return r;if(n===Reduction.SUM)return r.sum();if(n===Reduction.MEAN)return null==t?r.mean():r.sum().div(t.sum());if(n===Reduction.SUM_BY_NONZERO_WEIGHTS){if(null==t)return r.sum().div(scalar(e.size));var a=t.notEqual(scalar(0)).sum().toFloat();return r.sum().div(a)}throw Error(\"Unknown reduction: \"+n)},e.absoluteDifference=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"absoluteDifference\"),null!=r&&assertArgumentsAreTensors({weights:r},\"absoluteDifference\"),assertShapesMatch(t.shape,n.shape,\"Error in absoluteDifference: \");var o=t.sub(n).abs();return e.computeWeightedLoss(o,r,a)},e.meanSquaredError=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"meanSquaredError\"),null!=r&&assertArgumentsAreTensors({weights:r},\"meanSquaredError\"),assertShapesMatch(t.shape,n.shape,\"Error in meanSquaredError: \");var o=t.squaredDifference(n);return e.computeWeightedLoss(o,r,a)},e.cosineDistance=function(t,n,r,a,o){void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"cosineDistance\"),null!=a&&assertArgumentsAreTensors({weights:a},\"cosineDistance\"),assertShapesMatch(t.shape,n.shape,\"Error in cosineDistance: \");var i=scalar(1).sub(t.mul(n).sum(r,!0));return e.computeWeightedLoss(i,a,o)},e.hingeLoss=function(t,n,r,a){void 0===a&&(a=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"hingeLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"hingeLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in hingeLoss: \");var o=scalar(1);t=scalar(2).mul(t).sub(o);var i=o.sub(t.mul(n)).relu();return e.computeWeightedLoss(i,r,a)},e.logLoss=function(t,n,r,a,o){void 0===a&&(a=1e-7),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"logLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"logLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in logLoss: \");var i=scalar(1),s=scalar(a),u=t.mul(n.add(s).log()).neg().sub(i.sub(t).mul(i.sub(n).add(s).log()));return e.computeWeightedLoss(u,r,o)},e.huberLoss=function(t,n,r,a,o){void 0===a&&(a=1),void 0===o&&(o=Reduction.SUM_BY_NONZERO_WEIGHTS),assertArgumentsAreTensors({labels:t,predictions:n},\"huberLoss\"),null!=r&&assertArgumentsAreTensors({weights:r},\"huberLoss\"),assertShapesMatch(t.shape,n.shape,\"Error in huberLoss: \");var i=scalar(a),s=n.sub(t).abs(),u=minimum(s,i),l=s.sub(u),c=scalar(.5).mul(u.square()).add(i.mul(l));return e.computeWeightedLoss(c,r,o)},__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"computeWeightedLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"absoluteDifference\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"meanSquaredError\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"cosineDistance\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"hingeLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"logLoss\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"huberLoss\",null),e}(),LRNOps=function(){function e(){}return e.localResponseNormalization=function(e,t,n,r,a){void 0===t&&(t=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===a&&(a=.5),assertArgumentsAreTensors({x:e},\"localResponseNormalization\"),assert(4===e.rank||3===e.rank,\"Error in localResponseNormalization: x must be rank 3 or 4 but got\\n               rank \"+e.rank+\".\"),assert(isInt(t),\"Error in localResponseNormalization: depthRadius must be an integer\\n                     but got depthRadius \"+t+\".\");var o=e,i=!1;3===e.rank&&(i=!0,o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var s=ENV.engine.runKernel(function(e){return e.localResponseNormalization4D(o,t,n,r,a)},{x4D:o});return i?s.as3D(s.shape[1],s.shape[2],s.shape[3]):s},__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"localResponseNormalization\",null),e}(),LSTMOps=function(){function e(){}return e.multiRNNCell=function(e,t,n,r){assertArgumentsAreTensors({data:t,c:n,h:r},\"multiRNNCell\");for(var a=t,o=[],i=0;i<e.length;i++){var s=e[i](a,n[i],r[i]);o.push(s[0]),o.push(s[1]),a=s[1]}var u=[],l=[];for(i=0;i<o.length;i+=2)u.push(o[i]),l.push(o[i+1]);return[u,l]},e.basicLSTMCell=function(e,t,n,r,a,o){assertArgumentsAreTensors({forgetBias:e,lstmKernel:t,lstmBias:n,data:r,c:a,h:o},\"basicLSTMCell\");var i=r.concat(o,1).matMul(t).add(n),s=i.shape[0],u=i.shape[1]/4,l=[s,u],c=i.slice([0,0],l),d=i.slice([0,u],l),p=i.slice([0,2*u],l),h=i.slice([0,3*u],l),f=c.sigmoid().mulStrict(d.tanh()).addStrict(a.mulStrict(e.add(p).sigmoid()));return[f,f.tanh().mulStrict(h.sigmoid())]},__decorate([doc({heading:\"Operations\",subheading:\"RNN\"}),operation],e,\"multiRNNCell\",null),__decorate([doc({heading:\"Operations\",subheading:\"RNN\"}),operation],e,\"basicLSTMCell\",null),e}(),MatmulOps=function(){function e(){}return e.matMul=function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),assertArgumentsAreTensors({a:e,b:t},\"matMul\");var a=n?e.shape[0]:e.shape[1],o=r?t.shape[1]:t.shape[0];assert(2===e.rank&&2===t.rank,\"Error in matMul: inputs must be rank 2, got ranks \"+e.rank+\" and \"+t.rank+\".\"),assert(a===o,\"Error in matMul: inner shapes (\"+a+\") and (\"+o+\") of Tensors with shapes \"+e.shape+\" and \"+t.shape+\" and transposeA=\"+n+\" and transposeB=\"+r+\" must match.\");return ENV.engine.runKernel(function(a){return a.matMul(e,t,n,r)},{a:e,b:t},function(a){return n||r?!n&&r?{a:function(){return a.matMul(t.toFloat(),!1,!1)},b:function(){return a.matMul(e.toFloat(),!0,!1)}}:n&&!r?{a:function(){return t.toFloat().matMul(a,!1,!0)},b:function(){return e.toFloat().matMul(a,!1,!1)}}:{a:function(){return t.toFloat().matMul(a,!0,!0)},b:function(){return a.matMul(e.toFloat(),!0,!0)}}:{a:function(){return a.matMul(t.toFloat(),!1,!0)},b:function(){return e.toFloat().matMul(a,!0,!1)}}})},e.vectorTimesMatrix=function(e,t){return assert(1===e.rank,\"Error in vectorTimesMatrix: first input must be rank 1, but got rank \"+e.rank+\".\"),assert(2===t.rank,\"Error in vectorTimesMatrix: second input must be rank 2, but got rank \"+t.rank+\".\"),assert(e.size===t.shape[0],\"Error in vectorTimesMatrix: size of vector (\"+e.size+\") must match first dimension of matrix (\"+t.shape[0]+\")\"),e.as2D(1,-1).matMul(t).as1D()},e.matrixTimesVector=function(e,t){return assert(1===t.rank,\"Error in matrixTimesVector: second input must rank 1, but got rank \"+t.rank+\".\"),assert(2===e.rank,\"Error in matrixTimesVector: first input must be a rank 2, but got rank \"+e.rank+\".\"),assert(t.size===e.shape[1],\"Error in matrixTimesVector: size of first rank 1 input \"+t.size+\" must match inner dimension of second rank 2 input, but got shape \"+e.shape+\".\"),e.matMul(t.as2D(-1,1)).as1D()},e.dotProduct=function(e,t){return assert(1===e.rank&&1===t.rank,\"Error in dotProduct: inputs must be rank 1, but got ranks \"+e.rank+\" and \"+t.rank+\".\"),assert(e.size===t.size,\"Error in dotProduct: size of inputs (\"+e.size+\") and (\"+t.size+\") must match.\"),e.as2D(1,-1).matMul(t.as2D(-1,1)).asScalar()},e.outerProduct=function(e,t){return assert(1===e.rank&&1===t.rank,\"Error in outerProduct: inputs must be rank 1, but got ranks \"+e.rank+\" and \"+t.rank+\".\"),e.as2D(-1,1).matMul(t.as2D(1,-1))},e.dot=function(e,t){assert(!(1!==e.rank&&2!==e.rank||1!==t.rank&&2!==t.rank),\"Error in dot: inputs must all be rank 1 or 2, but got ranks \"+e.rank+\" and \"+t.rank+\".\");var n=1===e.rank?e.size:e.shape[1],r=1===t.rank?t.size:t.shape[0];return assert(n===r,\"Error in dot: inner dimensions of inputs must match, but got \"+n+\" and \"+r+\".\"),1===e.rank&&1===t.rank?e.as2D(1,-1).matMul(t.as2D(-1,1)).asScalar():1===e.rank&&2===t.rank?e.as2D(1,-1).matMul(t.as2D(t.shape[0],t.shape[1])).as1D():2===e.rank&&1===t.rank?e.matMul(t.as2D(-1,1)).as1D():e.matMul(t.as2D(t.shape[0],t.shape[1]))},__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"matMul\",null),__decorate([operation],e,\"vectorTimesMatrix\",null),__decorate([operation],e,\"matrixTimesVector\",null),__decorate([operation],e,\"dotProduct\",null),__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"outerProduct\",null),__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"dot\",null),e}(),MovingAverageOps=function(){function e(){}return e.movingAverage=function(e,t,n,r,a){void 0===a&&(a=!0),assertArgumentsAreTensors({v:e,x:t},\"movingAverage\"),assertTypesMatch(e,t),assert(arraysEqual(e.shape,t.shape),\"Shape mismatch in v and x\");var o=ArrayOps.scalar(1);n=\"number\"==typeof n?ArrayOps.scalar(n):n;var i=o.sub(n),s=t.sub(e).mul(i);return a&&(assert(null!=r,\"When using zeroDebias: true, step is required.\"),r=\"number\"==typeof r?ArrayOps.scalar(r):r,s=s.div(o.sub(BinaryOps.pow(n,r)))),e.add(s)},__decorate([doc({heading:\"Operations\",subheading:\"Moving Average\"}),operation],e,\"movingAverage\",null),e}(),NormOps=function(){function e(){}return e.norm=function(e,t,n,r){void 0===t&&(t=\"euclidean\"),void 0===n&&(n=null),void 0===r&&(r=!1),assertArgumentsAreTensors({x:e},\"norm\");var a=normImpl(e,t,n),o=a.shape;if(r){var i=parseAxisParam(n,e.shape);o=expandShapeToKeepDim(a.shape,i)}return a.reshape(o)},__decorate([doc({heading:\"Operations\",subheading:\"Matrices\"}),operation],e,\"norm\",null),e}();function normImpl(e,t,n){if(void 0===n&&(n=null),0===e.rank)return e.abs();if(1!==e.rank&&null===n)return normImpl(e.reshape([-1]),t,n);if(1===e.rank||\"number\"==typeof n||n instanceof Array&&1===n.length){if(1===t)return e.abs().sum(n);if(t===1/0)return e.abs().max(n);if(t===-1/0)return e.abs().min(n);if(\"euclidean\"===t||2===t)return e.abs().pow(scalar(2,\"int32\")).sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}if(n instanceof Array&&2===n.length){if(1===t)return e.abs().sum(n[0]).max(n[1]-1);if(t===1/0)return e.abs().sum(n[1]).max(n[0]);if(t===-1/0)return e.abs().sum(n[1]).min(n[0]);if(\"fro\"===t||\"euclidean\"===t)return e.square().sum(n).sqrt();throw new Error(\"Error in norm: invalid ord value: \"+t)}throw new Error(\"Error in norm: invalid axis: \"+n)}var PoolOps=function(){function e(){}return e.maxPool=function(t,n,r,a,o){assertArgumentsAreTensors({x:t},\"maxPool\");var i=t,s=!1;3===t.rank&&(s=!0,i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in maxPool: input must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(a),\"Error in maxPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computePool2DInfo(i.shape,n,r,a,o),l=ENV.engine.runKernel(function(e,t){return t(e.maxPool(i,u))},{x:i},function(t,o){var s=o[0];return{x:function(){return e.maxPoolBackprop(t,i,s,n,r,a)}}});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},e.maxPoolBackprop=function(e,t,n,r,a,o,i){assertArgumentsAreTensors({dy:e,input:t,output:n},\"maxPoolBackprop\"),assert(t.rank===e.rank,\"Rank of input (\"+t.rank+\") does not match rank of dy (\"+e.rank+\")\"),assert(4===e.rank,\"Error in maxPoolBackprop: dy must be rank 4 but got rank \"+e.rank+\".\"),assert(4===t.rank,\"Error in maxPoolBackprop: input must be rank 4 but got rank \"+t.rank+\".\"),null!=i&&assert(isInt(o),\"Error in maxPoolBackprop: pad must be an integer when using, dimRoundingMode \"+i+\" but got pad \"+o+\".\");var s=computePool2DInfo(t.shape,r,a,o,i);return ENV.engine.runKernel(function(r){return r.maxPoolBackprop(e,t,n,s)},{dy:e,input:t})},e.avgPool=function(t,n,r,a,o){assertArgumentsAreTensors({x:t},\"avgPool\"),assert(\"float32\"===t.dtype,\"The input dtype to avgPool must be float32\");var i=t,s=!1;3===t.rank&&(s=!0,i=t.as4D(1,t.shape[0],t.shape[1],t.shape[2])),assert(4===i.rank,\"Error in avgPool: x must be rank 4 but got rank \"+i.rank+\".\"),null!=o&&assert(isInt(a),\"Error in avgPool: pad must be an integer when using, dimRoundingMode \"+o+\" but got pad \"+a+\".\");var u=computePool2DInfo(i.shape,n,r,a),l=ENV.engine.runKernel(function(e){return e.avgPool(i,u)},{x:i},function(t){return{x:function(){return e.avgPoolBackprop(t,i,n,r,a)}}});return l=l.cast(t.dtype),s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},e.avgPoolBackprop=function(e,t,n,r,a){assertArgumentsAreTensors({dy:e,input:t},\"avgPoolBackprop\"),assert(t.rank===e.rank,\"Rank of input (\"+t.rank+\") does not match rank of dy (\"+e.rank+\")\");var o=t,i=e,s=!1;3===t.rank&&(s=!0,o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]),i=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),assert(4===i.rank,\"Error in avgPoolBackprop: dy must be rank 4 but got rank \"+i.rank+\".\"),assert(4===o.rank,\"Error in avgPoolBackprop: input must be rank 4 but got rank \"+o.rank+\".\");var u=computePool2DInfo(o.shape,n,r,a),l=ENV.engine.runKernel(function(e){return e.avgPoolBackprop(i,o,u)},{dy4D:i,input4D:o});return s?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l},__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"maxPool\",null),__decorate([operation],e,\"maxPoolBackprop\",null),__decorate([doc({heading:\"Operations\",subheading:\"Convolution\"}),operation],e,\"avgPool\",null),__decorate([operation],e,\"avgPoolBackprop\",null),e}(),ReductionOps=function(){function e(){}return e.logSumExp=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"logSumExp\");var r=parseAxisParam(t,e.shape),a=e.max(r,!0),o=e.sub(a).exp().sum(r).log(),i=a.reshape(o.shape).add(o);if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.sum=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"sum\"),\"bool\"===e.dtype&&(e=e.toInt());var r=parseAxisParam(t,e.shape);return customGrad(function(e){var t=getAxesPermutation(r,e.rank),a=r,o=e;null!=t&&(o=e.transpose(t),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(e){return e.sum(o,a)},{permutedX:o});if(n){var s=expandShapeToKeepDim(i.shape,r);i=i.reshape(s)}return{value:i,gradFunc:function(t){var n=e.shape.slice();return r.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones(e.shape,\"float32\"))}}})(e)},e.mean=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"mean\");var r=parseAxisParam(t,e.shape),a=sizeFromShape(computeOutAndReduceShapes(e.shape,r)[1]);return customGrad(function(e){var o=scalar(a);return{value:(o.dtype===e.dtype?e:e.cast(o.dtype)).div(o).sum(t,n),gradFunc:function(t){var n=e.shape.slice();return r.forEach(function(e){n[e]=1}),t.reshape(n).mul(ones(e.shape,\"float32\")).div(o)}}})(e)},e.min=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"min\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.min(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.max=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"max\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.max(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.argMin=function(e,t){void 0===t&&(t=0),assertArgumentsAreTensors({x:e},\"argMin\"),null==t&&(t=0);var n=parseAxisParam(t,e.shape),r=getAxesPermutation(n,e.rank);return null!=r&&(e=e.transpose(r),n=getInnerMostAxes(n.length,e.rank)),ENV.engine.runKernel(function(t){return t.argMin(e,n[0])},{x:e})},e.argMax=function(e,t){void 0===t&&(t=0),assertArgumentsAreTensors({x:e},\"argMax\"),null==t&&(t=0);var n=parseAxisParam(t,e.shape),r=getAxesPermutation(n,e.rank);return null!=r&&(e=e.transpose(r),n=getInnerMostAxes(n.length,e.rank)),ENV.engine.runKernel(function(t){return t.argMax(e,n[0])},{x:e})},e.all=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"all\"),assert(\"bool\"===e.dtype,\"Error Array must be of type bool.\");var r=parseAxisParam(t,e.shape),a=r,o=getAxesPermutation(a,e.rank);null!=o&&(e=e.transpose(o),a=getInnerMostAxes(a.length,e.rank));var i=ENV.engine.runKernel(function(t){return t.all(e,a)},{x:e});if(n){var s=expandShapeToKeepDim(i.shape,r);return i.reshape(s)}return i},e.moments=function(e,t,n){void 0===t&&(t=null),void 0===n&&(n=!1),assertArgumentsAreTensors({x:e},\"moments\");var r=parseAxisParam(t,e.shape),a=e.mean(r,n),o=a.shape;return n||(o=expandShapeToKeepDim(a.shape,r)),{mean:a,variance:e.toFloat().sub(a.reshape(o)).square().mean(r,n)}},__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"logSumExp\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"sum\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"mean\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"min\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"max\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"argMin\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"argMax\",null),__decorate([doc({heading:\"Operations\",subheading:\"Reduction\"}),operation],e,\"all\",null),__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"moments\",null),e}(),ReverseOps=function(){function e(){}return e.reverse1d=function(t){return assert(1===t.rank,\"Error in reverse1D: x must be rank 1 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,0)},e.reverse2d=function(t,n){return assert(2===t.rank,\"Error in reverse2D: x must be rank 2 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse3d=function(t,n){return assert(3===t.rank,\"Error in reverse3D: x must be rank 3 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse4d=function(t,n){return assert(4===t.rank,\"Error in reverse4D: x must be rank 4 but got\\n             rank \"+t.rank+\".\"),e.reverse(t,n)},e.reverse=function(e,t){if(assertArgumentsAreTensors({x:e},\"reverse\"),0===e.rank)return e.clone();var n=parseAxisParam(t,e.shape);return ENV.engine.runKernel(function(t){return t.reverse(e,n)},{x:e},function(e){return{x:function(){return e.reverse(n)}}}).reshapeAs(e)},__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"reverse\",null),e}(),SigmoidCrossEntropyOps=function(){function e(){}return e.sigmoidCrossEntropyWithLogits=function(e,t){assertArgumentsAreTensors({labels:e,logits:t},\"sigmoidCrossEntropyWithLogits\"),assertShapesMatch(e.shape,t.shape,\"Error in sigmoidCrossEntropyWithLogits: \");var n=t.relu(),r=t.mul(e),a=t.abs().neg().exp().log1p();return n.sub(r).add(a)},__decorate([doc({heading:\"Operations\",subheading:\"Cross Entropy\"}),operation],e,\"sigmoidCrossEntropyWithLogits\",null),e}();function assertParamsValid(e,t,n){assert(e.rank===t.length,\"Error in slice\"+e.rank+\"D: Length of begin \"+t+\" must match the rank of the array (\"+e.rank+\").\"),assert(e.rank===n.length,\"Error in slice\"+e.rank+\"D: Length of size \"+n+\" must match the rank of the array (\"+e.rank+\").\");for(var r=0;r<e.rank;++r)assert(t[r]+n[r]<=e.shape[r],\"Error in slice\"+e.rank+\"D: begin[\"+r+\"] + size[\"+r+\"] (\"+(t[r]+n[r])+\") would overflow input.shape[\"+r+\"] (\"+e.shape[r]+\")\")}function getStridedSlicedInfo(e,t,n,r,a,o){void 0===a&&(a=0),void 0===o&&(o=0);for(var i=[],s=[],u=0;u<e.length;u++)i[u]=startForAxis(a,t,r,e,u),s[u]=stopForAxis(o,n,r,e,u);var l=new Array(e.length).fill(0);return l=l.map(function(e,t){for(var n=0,a=i[t];!(r[t]>0?a>=s[t]:a<=s[t]);a+=r[t])n+=1;return n}),[i,l]}function startForAxis(e,t,n,r,a){var o=t[a];e&1<<a&&(o=n[a]>0?Number.MIN_SAFE_INTEGER:Number.MAX_SAFE_INTEGER);var i=r[a];return o<0&&(o+=i),o=clamp(0,o,i-1)}function stopForAxis(e,t,n,r,a){var o=t[a];e&1<<a&&(o=n[a]>0?Number.MAX_SAFE_INTEGER:Number.MIN_SAFE_INTEGER);var i=r[a];return o<0&&(o+=i),o=n[a]>0?clamp(0,o,i):clamp(-1,o,i-1)}var SliceOps=function(){function e(){}return e.slice1d=function(t,n,r){return assert(1===t.rank,\"slice1d expects a rank-1 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,[n],[r])},e.slice2d=function(t,n,r){return assert(2===t.rank,\"slice1d expects a rank-2 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice3d=function(t,n,r){return assert(3===t.rank,\"slice1d expects a rank-3 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice4d=function(t,n,r){return assert(4===t.rank,\"slice1d expects a rank-4 tensor, but got a rank-\"+t.rank+\" tensor\"),e.slice(t,n,r)},e.slice=function(e,t,n){if(assertArgumentsAreTensors({x:e},\"slice\"),0===e.rank)throw new Error(\"Slicing scalar is not possible\");var r,a;r=\"number\"==typeof t?[t].concat(new Array(e.rank-1).fill(0)):t.length<e.rank?t.concat(new Array(e.rank-t.length).fill(0)):t,a=(a=null==n?new Array(e.rank).fill(-1):\"number\"==typeof n?[n].concat(new Array(e.rank-1).fill(-1)):n.length<e.rank?n.concat(new Array(e.rank-n.length).fill(-1)):n).map(function(t,n){return t>=0?t:(assert(-1===t,\"Bad value in size\"),e.shape[n]-r[n])}),assertParamsValid(e,r,a);var o=e.shape;return ENV.engine.runKernel(function(t){return t.slice(e,r,a)},{x:e},function(e){for(var t=[],n=0;n<e.rank;n++)t.push([r[n],o[n]-r[n]-a[n]]);return{x:function(){return e.pad(t)}}})},__decorate([doc({heading:\"Tensors\",subheading:\"Slicing and Joining\"}),operation],e,\"slice\",null),e}(),SoftmaxOps=function(){function e(){}return e.softmax=function(e,t){if(void 0===t&&(t=-1),assertArgumentsAreTensors({logits:e},\"softmax\"),-1===t&&(t=e.rank-1),t!==e.rank-1)throw Error(\"Softmax along a non-last dimension is not yet supported. Logits was rank \"+e.rank+\" and dim was \"+t);return customGrad(function(e){var n=e.logSumExp([t],!0),r=e.toFloat().sub(n).exp();return{value:r,gradFunc:function(e){var n=e.mul(r);return n.sub(n.sum([t],!0).mul(r))}}})(e)},e.softmaxCrossEntropy=function(e,t,n){if(void 0===n&&(n=-1),assertArgumentsAreTensors({labels:e,logits:t},\"softmaxCrossEntropy\"),assertShapesMatch(e.shape,t.shape,\"Error in softmaxCrossEntropy: \"),-1===n&&(n=t.rank-1),n!==t.rank-1)throw Error(\"Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank \"+t.rank+\" and dim was \"+n);return customGrad(function(e,t){var r=t.softmax(n);return{value:scalar(1e-5).add(r).log().mul(e).neg().sum([n]),gradFunc:function(t){var a=expandShapeToKeepDim(t.shape,[n]);return[t.reshape(a).mul(e.toFloat().sub(r)),t.reshape(a).mul(r.sub(e.toFloat()))]}}})(e,t)},__decorate([doc({heading:\"Operations\",subheading:\"Normalization\"}),operation],e,\"softmax\",null),__decorate([doc({heading:\"Training\",subheading:\"Losses\",namespace:\"losses\"}),operation],e,\"softmaxCrossEntropy\",null),e}(),StridedSliceOps=function(){function e(){}return e.stridedSlice=function(e,t,n,r,a,o){return void 0===a&&(a=0),void 0===o&&(o=0),assertArgumentsAreTensors({x:e},\"stridedSlice\"),ENV.engine.runKernel(function(i){return i.stridedSlice(e,t,n,r,a,o)},{x:e})},__decorate([doc({heading:\"Operations\",subheading:\"Slicing and Joining\"}),operation],e,\"stridedSlice\",null),e}(),TransposeOps=function(){function e(){}return 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e.neg()}}})},e.ceil=function(e){assertArgumentsAreTensors({x:e},\"ceil\");return ENV.engine.runKernel(function(t){return t.ceil(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.floor=function(e){assertArgumentsAreTensors({x:e},\"floor\");return ENV.engine.runKernel(function(t){return t.floor(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.sign=function(e){assertArgumentsAreTensors({x:e},\"sign\");return ENV.engine.runKernel(function(t){return t.sign(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.round=function(e){assertArgumentsAreTensors({x:e},\"round\");return ENV.engine.runKernel(function(t){return t.round(e)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},e.exp=function(e){assertArgumentsAreTensors({x:e},\"exp\");return ENV.engine.runKernel(function(t,n){return n(t.exp(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return e.mulStrict(n)}}})},e.expm1=function(e){assertArgumentsAreTensors({x:e},\"expm1\");return ENV.engine.runKernel(function(t){return t.expm1(e)},{x:e},function(t){return{x:function(){return t.mulStrict(e.exp())}}})},e.log=function(e){assertArgumentsAreTensors({x:e},\"log\");return ENV.engine.runKernel(function(t){return t.log(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.toFloat())}}})},e.log1p=function(e){assertArgumentsAreTensors({x:e},\"log1p\");return ENV.engine.runKernel(function(t){return t.log1p(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.add(scalar(1)))}}})},e.sqrt=function(e){assertArgumentsAreTensors({x:e},\"sqrt\");return ENV.engine.runKernel(function(t){return t.sqrt(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.toFloat().sqrt().mul(scalar(2)))}}})},e.rsqrt=function(e){assertArgumentsAreTensors({x:e},\"rsqrt\");return ENV.engine.runKernel(function(t){return t.rsqrt(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.pow(scalar(1.5)).mul(scalar(2))).neg()}}})},e.square=function(e){assertArgumentsAreTensors({x:e},\"square\");return ENV.engine.runKernel(function(t){return t.square(e)},{x:e},function(t){return{x:function(){return t.mulStrict(e.toFloat().mul(scalar(2)))}}})},e.reciprocal=function(e){assertArgumentsAreTensors({x:e},\"reciprocal\");return ENV.engine.runKernel(function(t){return t.reciprocal(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.square().neg())}}})},e.abs=function(e){assertArgumentsAreTensors({x:e},\"abs\");return ENV.engine.runKernel(function(t){return t.abs(e)},{x:e},function(t){return{x:function(){return t.mulStrict(e.toFloat().step(-1))}}})},e.clipByValue=function(e,t,n){assertArgumentsAreTensors({x:e},\"clipByValue\"),assert(t<=n,\"Error in clip: min (\"+t+\") must be less than or equal to max (\"+n+\").\");return ENV.engine.runKernel(function(r){return r.clip(e,t,n)},{x:e},function(r){return{x:function(){return r.where(e.greaterEqual(scalar(t)).logicalAnd(e.lessEqual(scalar(n))),zerosLike(r))}}})},e.relu=function(e){if(assertArgumentsAreTensors({x:e},\"relu\"),\"bool\"===e.dtype)return e.toInt();return ENV.engine.runKernel(function(t){return t.relu(e)},{x:e},function(t){var n=e.step();return{x:function(){return t.mulStrict(n.toFloat())}}})},e.elu=function(e){assertArgumentsAreTensors({x:e},\"elu\");return ENV.engine.runKernel(function(t,n){return n(t.elu(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return ENV.engine.runKernel(function(t){return t.eluDer(e,n)},{dy:e,y:n})}}})},e.selu=function(e){assertArgumentsAreTensors({x:e},\"selu\");return ENV.engine.runKernel(function(t){return t.selu(e)},{x:e},function(t){return{x:function(){var n=e.greater(scalar(0)),r=scalar(SELU_SCALEALPHA),a=scalar(SELU_SCALE),o=t.mul(a),i=t.mul(r).mul(e.toFloat().exp());return where(n,o,i)}}})},e.leakyRelu=function(e,t){return void 0===t&&(t=.2),assertArgumentsAreTensors({x:e},\"leakyRelu\"),maximum(scalar(t).mul(e),e)},e.prelu=function(e,t){assertArgumentsAreTensors({x:e,alpha:t},\"prelu\");var n=scalar(0);return maximum(n,e).add(t.mul(minimum(n,e)))},e.sigmoid=function(e){assertArgumentsAreTensors({x:e},\"sigmoid\");return ENV.engine.runKernel(function(t,n){return n(t.sigmoid(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return e.mulStrict(n.mul(scalar(1).sub(n)))}}})},e.logSigmoid=function(e){assertArgumentsAreTensors({x:e},\"logSigmoid\");return ENV.engine.runKernel(function(t){return t.softplus(e.neg()).neg()},{x:e},function(t){return{x:function(){return t.mulStrict(e.neg().sigmoid())}}})},e.softplus=function(e){assertArgumentsAreTensors({x:e},\"softplus\");return ENV.engine.runKernel(function(t){return t.softplus(e)},{x:e},function(t){return{x:function(){return t.mulStrict(e.sigmoid())}}})},e.sin=function(e){assertArgumentsAreTensors({x:e},\"sin\");return ENV.engine.runKernel(function(t){return t.sin(e)},{x:e},function(t){return{x:function(){return e.toFloat().cos().mulStrict(t)}}})},e.cos=function(e){assertArgumentsAreTensors({x:e},\"cos\");return ENV.engine.runKernel(function(t){return t.cos(e)},{x:e},function(t){return{x:function(){return e.toFloat().sin().neg().mulStrict(t)}}})},e.tan=function(e){assertArgumentsAreTensors({x:e},\"tan\");return ENV.engine.runKernel(function(t){return t.tan(e)},{x:e},function(t){return{x:function(){return t.divStrict(e.cos().square())}}})},e.asin=function(t){assertArgumentsAreTensors({x:t},\"asin\");return ENV.engine.runKernel(function(e){return e.asin(t)},{x:t},function(n){return{x:function(){return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square())))}}})},e.acos=function(t){assertArgumentsAreTensors({x:t},\"acos\");return ENV.engine.runKernel(function(e){return e.acos(t)},{x:t},function(n){return{x:function(){return n.divStrict(e.sqrt(scalar(1).sub(t.toFloat().square()))).neg()}}})},e.atan=function(e){assertArgumentsAreTensors({x:e},\"atan\");return ENV.engine.runKernel(function(t){return t.atan(e)},{x:e},function(t){return{x:function(){return t.divStrict(scalar(1).add(e.toFloat().square()))}}})},e.sinh=function(e){assertArgumentsAreTensors({x:e},\"sinh\");return ENV.engine.runKernel(function(t){return t.sinh(e)},{x:e},function(t){return{x:function(){return e.toFloat().cosh().mulStrict(t)}}})},e.cosh=function(e){assertArgumentsAreTensors({x:e},\"cosh\");return ENV.engine.runKernel(function(t){return t.cosh(e)},{x:e},function(t){return{x:function(){return e.toFloat().sinh().mulStrict(t)}}})},e.tanh=function(e){assertArgumentsAreTensors({x:e},\"tanh\");return ENV.engine.runKernel(function(t,n){return n(t.tanh(e))},{x:e},function(e,t){var n=t[0];return{x:function(){return scalar(1).sub(n.square()).mulStrict(e)}}})},e.asinh=function(t){assertArgumentsAreTensors({x:t},\"asinh\");return ENV.engine.runKernel(function(e){return e.asinh(t)},{x:t},function(n){return{x:function(){return n.divStrict(e.sqrt(scalar(1).add(t.toFloat().square())))}}})},e.acosh=function(t){assertArgumentsAreTensors({x:t},\"acosh\");return ENV.engine.runKernel(function(e){return e.acosh(t)},{x:t},function(n){return{x:function(){return n.divStrict(e.sqrt(t.toFloat().square().sub(scalar(1))))}}})},e.atanh=function(e){assertArgumentsAreTensors({x:e},\"atanh\");return ENV.engine.runKernel(function(t){return t.atanh(e)},{x:e},function(t){return{x:function(){return t.divStrict(scalar(1).sub(e.toFloat().square()))}}})},e.erf=function(e){assert(\"int32\"===e.dtype||\"float32\"===e.dtype,\"Input dtype must be `int32` or `float32`.\"),\"int32\"===e.dtype&&(e=e.toFloat());return ENV.engine.runKernel(function(t){return t.erf(e)},{x:e},function(t){return{x:function(){return t.mulStrict(scalar(2/Math.sqrt(Math.PI)).mul(e.square().neg().exp()))}}})},e.step=function(e,t){void 0===t&&(t=0),assertArgumentsAreTensors({x:e},\"step\");return ENV.engine.runKernel(function(n){return n.step(e,t)},{x:e},function(e){return{x:function(){return zerosLike(e)}}})},__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"neg\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"ceil\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"floor\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"sign\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"round\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"exp\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic math\"}),operation],e,\"expm1\",null),__decorate([doc({heading:\"Operations\",subheading:\"Basic 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eBilinear,resizeNearestNeighbor:ImageOps.resizeNearestNeighbor},TensorBuffer=function(){function e(e,t,n){if(this.dtype=t,null!=n){var r=n.length,a=sizeFromShape(e);assert(r===a,\"Length of values '\"+r+\"' does not match the size inferred by the shape '\"+a+\"'\")}this.shape=e.slice(),this.values=n||getTypedArrayFromDType(t,sizeFromShape(e)),this.strides=computeStrides(e),this.size=sizeFromShape(e)}return e.prototype.set=function(e){for(var t=[],n=1;n<arguments.length;n++)t[n-1]=arguments[n];0===t.length&&(t=[0]),assert(t.length===this.rank,\"The number of provided coordinates (\"+t.length+\") must match the rank (\"+this.rank+\")\");var r=this.locToIndex(t);this.values[r]=e},e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.values[n]},e.prototype.locToIndex=function(e){if(0===this.rank)return 0;if(1===this.rank)return e[0];for(var t=e[e.length-1],n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t},e.prototype.indexToLoc=function(e){if(0===this.rank)return[];if(1===this.rank)return[e];for(var t=new Array(this.shape.length),n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.toTensor=function(){return Tensor.make(this.shape,{values:this.values},this.dtype)},__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e.prototype,\"set\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e.prototype,\"get\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],e.prototype,\"toTensor\",null),e=__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e)}(),Tensor=function(){function e(e,n,r,a){this.isDisposedInternal=!1,this.size=sizeFromShape(e),null!=r&&assert(this.size===r.length,\"Constructing tensor of shape (\"+this.size+\") should match the length of values (\"+r.length+\")\"),this.shape=e.slice(),this.dtype=n||\"float32\",this.strides=computeStrides(e),this.dataId=null!=a?a:{},this.id=t.nextId++,this.rankType=this.rank<5?this.rank.toString():\"higher\",ENV.engine.registerTensor(this),null!=r&&ENV.engine.write(this.dataId,r)}return t=e,e.make=function(e,n,r){return new t(e,r,n.values,n.dataId)},e.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},e.prototype.asScalar=function(){return this.throwIfDisposed(),assert(1===this.size,\"The array must have only 1 element.\"),this.reshape([])},e.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},e.prototype.as2D=function(e,t){return this.throwIfDisposed(),this.reshape([e,t])},e.prototype.as3D=function(e,t,n){return this.throwIfDisposed(),this.reshape([e,t,n])},e.prototype.as4D=function(e,t,n,r){return this.throwIfDisposed(),this.reshape([e,t,n,r])},e.prototype.asType=function(e){return this.throwIfDisposed(),cast(this,e)},Object.defineProperty(e.prototype,\"rank\",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),e.prototype.get=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];assert(e.length===this.rank,\"Number of coordinates in get() must match the rank of the tensor\"),this.throwIfDisposed(),0===e.length&&(e=[0]);for(var n=e[e.length-1],r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.dataSync()[n]},e.prototype.buffer=function(){return buffer(this.shape,this.dtype,this.dataSync())},e.prototype.data=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return this.throwIfDisposed(),[2,ENV.engine.read(this.dataId)]})})},e.prototype.dataSync=function(){return this.throwIfDisposed(),ENV.engine.readSync(this.dataId)},e.prototype.dispose=function(){this.isDisposed||(ENV.engine.disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(e.prototype,\"isDisposed\",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),e.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error(\"Tensor is disposed.\")},e.prototype.toFloat=function(){return this.asType(\"float32\")},e.prototype.toInt=function(){return this.asType(\"int32\")},e.prototype.toBool=function(){return this.asType(\"bool\")},e.prototype.print=function(e){return void 0===e&&(e=!1),print(this,e)},e.prototype.reshape=function(e){return this.throwIfDisposed(),reshape(this,e)},e.prototype.reshapeAs=function(e){return this.throwIfDisposed(),this.reshape(e.shape)},e.prototype.expandDims=function(e){return void 0===e&&(e=0),expandDims(this,e)},e.prototype.cumsum=function(e,t,n){return void 0===e&&(e=0),void 0===t&&(t=!1),void 0===n&&(n=!1),cumsum(this,e,t,n)},e.prototype.squeeze=function(e){return this.throwIfDisposed(),squeeze(this,e)},e.prototype.clone=function(){return this.throwIfDisposed(),clone(this)},e.prototype.toString=function(e){return void 0===e&&(e=!1),tensorToString(this,e)},e.prototype.tile=function(e){return this.throwIfDisposed(),tile(this,e)},e.prototype.gather=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),gather(this,e,t)},e.prototype.matMul=function(e,t,n){return void 0===t&&(t=!1),void 0===n&&(n=!1),this.throwIfDisposed(),matMul(this,e,t,n)},e.prototype.dot=function(e){return this.throwIfDisposed(),dot(this,e)},e.prototype.norm=function(e,t,n){return void 0===e&&(e=\"euclidean\"),void 0===t&&(t=null),void 0===n&&(n=!1),this.throwIfDisposed(),norm(this,e,t,n)},e.prototype.slice=function(e,t){return this.throwIfDisposed(),slice(this,e,t)},e.prototype.reverse=function(e){return this.throwIfDisposed(),reverse(this,e)},e.prototype.concat=function(e,t){return void 0===t&&(t=0),this.throwIfDisposed(),concat([this,e],t)},e.prototype.stack=function(e,t){return void 0===t&&(t=0),stack([this,e],t)},e.prototype.unstack=function(e,t){return void 0===t&&(t=0),unstack(this,t)},e.prototype.pad=function(e,t){return void 0===t&&(t=0),pad(this,e,t)},e.prototype.batchNormalization=function(e,t,n,r,a){return void 0===n&&(n=.001),this.throwIfDisposed(),batchNormalization(this,e,t,n,r,a)},e.prototype.all=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),all(this,e,t)},e.prototype.logSumExp=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),logSumExp(this,e,t)},e.prototype.sum=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),sum(this,e,t)},e.prototype.mean=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),mean(this,e,t)},e.prototype.min=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),min(this,e,t)},e.prototype.max=function(e,t){return void 0===e&&(e=null),void 0===t&&(t=!1),this.throwIfDisposed(),max(this,e,t)},e.prototype.argMin=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),argMin(this,e)},e.prototype.argMax=function(e){return void 0===e&&(e=null),this.throwIfDisposed(),argMax(this,e)},e.prototype.cast=function(e){return this.throwIfDisposed(),cast(this,e)},e.prototype.add=function(e){return this.throwIfDisposed(),add(this,e)},e.prototype.addStrict=function(e){return this.throwIfDisposed(),addStrict(this,e)},e.prototype.sub=function(e){return this.throwIfDisposed(),sub(this,e)},e.prototype.subStrict=function(e){return this.throwIfDisposed(),subStrict(this,e)},e.prototype.pow=function(e){return this.throwIfDisposed(),pow(this,e)},e.prototype.powStrict=function(e){return this.throwIfDisposed(),powStrict(this,e)},e.prototype.mul=function(e){return this.throwIfDisposed(),mul(this,e)},e.prototype.mulStrict=function(e){return this.throwIfDisposed(),mulStrict(this,e)},e.prototype.div=function(e){return this.throwIfDisposed(),div(this,e)},e.prototype.floorDiv=function(e){return this.throwIfDisposed(),floorDiv(this,e)},e.prototype.divStrict=function(e){return this.throwIfDisposed(),divStrict(this,e)},e.prototype.minimum=function(e){return this.throwIfDisposed(),minimum(this,e)},e.prototype.minimumStrict=function(e){return this.throwIfDisposed(),minimumStrict(this,e)},e.prototype.maximum=function(e){return this.throwIfDisposed(),maximum(this,e)},e.prototype.maximumStrict=function(e){return this.throwIfDisposed(),maximumStrict(this,e)},e.prototype.mod=function(e){return this.throwIfDisposed(),mod(this,e)},e.prototype.modStrict=function(e){return this.throwIfDisposed(),modStrict(this,e)},e.prototype.squaredDifference=function(e){return this.throwIfDisposed(),squaredDifference(this,e)},e.prototype.squaredDifferenceStrict=function(e){return this.throwIfDisposed(),squaredDifferenceStrict(this,e)},e.prototype.transpose=function(e){return this.throwIfDisposed(),transpose(this,e)},e.prototype.notEqual=function(e){return this.throwIfDisposed(),notEqual(this,e)},e.prototype.notEqualStrict=function(e){return this.throwIfDisposed(),notEqualStrict(this,e)},e.prototype.less=function(e){return this.throwIfDisposed(),less(this,e)},e.prototype.lessStrict=function(e){return this.throwIfDisposed(),lessStrict(this,e)},e.prototype.equal=function(e){return this.throwIfDisposed(),equal(this,e)},e.prototype.equalStrict=function(e){return this.throwIfDisposed(),equalStrict(this,e)},e.prototype.lessEqual=function(e){return this.throwIfDisposed(),lessEqual(this,e)},e.prototype.lessEqualStrict=function(e){return this.throwIfDisposed(),lessEqualStrict(this,e)},e.prototype.greater=function(e){return this.throwIfDisposed(),greater(this,e)},e.prototype.greaterStrict=function(e){return this.throwIfDisposed(),greaterStrict(this,e)},e.prototype.greaterEqual=function(e){return this.throwIfDisposed(),greaterEqual(this,e)},e.prototype.greaterEqualStrict=function(e){return this.throwIfDisposed(),greaterEqualStrict(this,e)},e.prototype.logicalAnd=function(e){return this.throwIfDisposed(),logicalAnd(this,e)},e.prototype.logicalOr=function(e){return this.throwIfDisposed(),logicalOr(this,e)},e.prototype.logicalNot=function(){return this.throwIfDisposed(),logicalNot(this)},e.prototype.logicalXor=function(e){return this.throwIfDisposed(),logicalXor(this,e)},e.prototype.where=function(e,t){return this.throwIfDisposed(),where(e,this,t)},e.prototype.neg=function(){return this.throwIfDisposed(),neg(this)},e.prototype.ceil=function(){return this.throwIfDisposed(),ceil(this)},e.prototype.floor=function(){return this.throwIfDisposed(),floor(this)},e.prototype.sign=function(){return this.throwIfDisposed(),sign(this)},e.prototype.exp=function(){return this.throwIfDisposed(),exp(this)},e.prototype.expm1=function(){return this.throwIfDisposed(),expm1(this)},e.prototype.log=function(){return this.throwIfDisposed(),log(this)},e.prototype.log1p=function(){return this.throwIfDisposed(),log1p(this)},e.prototype.sqrt=function(){return this.throwIfDisposed(),sqrt(this)},e.prototype.rsqrt=function(){return this.throwIfDisposed(),rsqrt(this)},e.prototype.square=function(){return this.throwIfDisposed(),square(this)},e.prototype.reciprocal=function(){return this.throwIfDisposed(),reciprocal(this)},e.prototype.abs=function(){return this.throwIfDisposed(),abs(this)},e.prototype.clipByValue=function(e,t){return this.throwIfDisposed(),clipByValue(this,e,t)},e.prototype.relu=function(){return this.throwIfDisposed(),relu(this)},e.prototype.elu=function(){return this.throwIfDisposed(),elu(this)},e.prototype.selu=function(){return this.throwIfDisposed(),selu(this)},e.prototype.leakyRelu=function(e){return void 0===e&&(e=.2),this.throwIfDisposed(),leakyRelu(this,e)},e.prototype.prelu=function(e){return this.throwIfDisposed(),prelu(this,e)},e.prototype.sigmoid=function(){return this.throwIfDisposed(),sigmoid(this)},e.prototype.logSigmoid=function(){return this.throwIfDisposed(),logSigmoid(this)},e.prototype.softplus=function(){return this.throwIfDisposed(),softplus(this)},e.prototype.sin=function(){return this.throwIfDisposed(),sin(this)},e.prototype.cos=function(){return this.throwIfDisposed(),cos(this)},e.prototype.tan=function(){return this.throwIfDisposed(),tan(this)},e.prototype.asin=function(){return this.throwIfDisposed(),asin(this)},e.prototype.acos=function(){return this.throwIfDisposed(),acos(this)},e.prototype.atan=function(){return this.throwIfDisposed(),atan(this)},e.prototype.sinh=function(){return this.throwIfDisposed(),sinh(this)},e.prototype.cosh=function(){return this.throwIfDisposed(),cosh(this)},e.prototype.tanh=function(){return this.throwIfDisposed(),tanh$1(this)},e.prototype.asinh=function(){return this.throwIfDisposed(),asinh(this)},e.prototype.acosh=function(){return this.throwIfDisposed(),acosh(this)},e.prototype.atanh=function(){return this.throwIfDisposed(),atanh(this)},e.prototype.erf=function(){return this.throwIfDisposed(),erf(this)},e.prototype.round=function(){return this.throwIfDisposed(),round(this)},e.prototype.step=function(e){return void 0===e&&(e=0),this.throwIfDisposed(),step(this,e)},e.prototype.softmax=function(e){return void 0===e&&(e=-1),this.throwIfDisposed(),softmax(this,e)},e.prototype.resizeBilinear=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),image.resizeBilinear(this,e,t)},e.prototype.resizeNearestNeighbor=function(e,t){return void 0===t&&(t=!1),this.throwIfDisposed(),image.resizeNearestNeighbor(this,e,t)},e.prototype.conv1d=function(e,t,n,r,a,o){return void 0===r&&(r=\"NWC\"),void 0===a&&(a=1),this.throwIfDisposed(),conv1d(this,e,t,n,r,a,o)},e.prototype.conv2d=function(e,t,n,r,a,o){return void 0===r&&(r=\"NHWC\"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),conv2d(this,e,t,n,r,a,o)},e.prototype.conv2dTranspose=function(e,t,n,r,a){return this.throwIfDisposed(),conv2dTranspose(this,e,t,n,r,a)},e.prototype.depthwiseConv2D=function(e,t,n,r,a,o){return void 0===r&&(r=\"NHWC\"),void 0===a&&(a=[1,1]),this.throwIfDisposed(),depthwiseConv2d(this,e,t,n,r,a,o)},e.prototype.avgPool=function(e,t,n,r){return this.throwIfDisposed(),avgPool(this,e,t,n,r)},e.prototype.maxPool=function(e,t,n,r){return this.throwIfDisposed(),maxPool(this,e,t,n,r)},e.prototype.localResponseNormalization=function(e,t,n,r){return void 0===e&&(e=5),void 0===t&&(t=1),void 0===n&&(n=1),void 0===r&&(r=.5),localResponseNormalization(this,e,t,n,r)},e.prototype.variable=function(e,t,n){return void 0===e&&(e=!0),this.throwIfDisposed(),Variable.variable(this,e,t,n)},e.prototype.unsortedSegmentSum=function(e,t){return this.throwIfDisposed(),unsortedSegmentSum(this,e,t)},e.nextId=0,__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"flatten\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"asScalar\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as1D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as2D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as3D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"as4D\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"asType\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"buffer\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"data\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"dataSync\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"dispose\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toFloat\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toInt\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toBool\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"print\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"reshape\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"reshapeAs\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"expandDims\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"cumsum\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"squeeze\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"clone\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e.prototype,\"toString\",null),e=t=__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],e);var t}(),Variable=function(e){function t(t,r,a){void 0===r&&(r=!0);var o=e.call(this,t.shape,t.dtype,null,t.dataId)||this;return o.trainable=r,o.name=a,null==o.name&&(o.name=n.nextVarId.toString(),n.nextVarId++),ENV.engine.registerVariable(o),o}return __extends(t,e),n=t,t.variable=function(e,t,r,a){return void 0===t&&(t=!0),null!=a&&a!==e.dtype&&(e=e.asType(a)),new n(e,t,r)},t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error(\"dtype of the new value (\"+e.dtype+\") and previous value (\"+this.dtype+\") must match\");if(!arraysEqual(e.shape,this.shape))throw new Error(\"shape of the new value (\"+e.shape+\") and previous value (\"+this.shape+\") must match\");ENV.engine.disposeTensor(this),this.dataId=e.dataId,ENV.engine.registerTensor(this)},t.nextVarId=0,__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],t.prototype,\"assign\",null),__decorate([doc({heading:\"Tensors\",subheading:\"Creation\"})],t,\"variable\",null),t=n=__decorate([doc({heading:\"Tensors\",subheading:\"Classes\"})],t);var n}(Tensor),variable=Variable.variable;function computeStrides(e){var t=e.length;if(t<2)return[];var n=new Array(t-1);n[t-2]=e[t-1];for(var r=t-3;r>=0;--r)n[r]=n[r+1]*e[r+1];return n}var Gradients=function(){function e(){}return e.gradScope=function(e,t){return tidy(e,t,!0)},e.grad=function(e){return assert(isFunction(e),\"The f passed in grad(f) must be a function\"),function(t,n){return assert(t instanceof Tensor,\"The x passed in grad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in grad(f)(x, dy) must be a tensor\"),tidy(function(){var r=ENV.engine.gradients(function(){return e(t)},[t],n),a=r.value,o=r.grads;return null!=n&&assertShapesMatch(a.shape,n.shape,\"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)\"),checkGrads(o),o[0]})}},e.grads=function(e){return assert(isFunction(e),\"The f passed in grads(f) must be a function\"),function(t,n){return assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in grads(f)(args) must be an array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in grads(f)(args, dy) must be a tensor\"),tidy(function(){var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n),a=r.value,o=r.grads;return null!=n&&assertShapesMatch(a.shape,n.shape,\"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(o),o})}},e.valueAndGrad=function(e){return assert(isFunction(e),\"The f passed in valueAndGrad(f) must be a function\"),function(t,n){assert(t instanceof Tensor,\"The x passed in valueAndGrad(f)(x) must be a tensor\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrad(f)(x, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e(t)},[t],n),a=r.grads,o=r.value;return checkGrads(a),{grad:a[0],value:o}}},e.valueAndGrads=function(e){return assert(isFunction(e),\"The f passed in valueAndGrads(f) must be a function\"),function(t,n){assert(Array.isArray(t)&&t.every(function(e){return e instanceof Tensor}),\"The args passed in valueAndGrads(f)(args) must be array of tensors\"),assert(null==n||n instanceof Tensor,\"The dy passed in valueAndGrads(f)(args, dy) must be a tensor\");var r=ENV.engine.gradients(function(){return e.apply(void 0,t)},t,n);return null!=n&&assertShapesMatch(r.value.shape,n.shape,\"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])\"),checkGrads(r.grads),r}},e.variableGrads=function(e,t){if(assert(isFunction(e),\"The f passed in variableGrads(f) must be a function\"),assert(null==t||Array.isArray(t)&&t.every(function(e){return e instanceof Variable}),\"The varList passed in variableGrads(f, varList) must be an array of variables\"),null==t)for(var n in t=[],ENV.engine.registeredVariables)t.push(ENV.engine.registeredVariables[n]);var r=t.length;assert((t=t.filter(function(e){return e.trainable})).length>0,\"variableGrads() expects at least one of the input variables to be trainable, but none of the \"+r+\" variables is trainable.\");var a=ENV.engine.gradients(e,t,null,!0),o=a.value,i=a.grads;assert(i.some(function(e){return null!=e}),\"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize().\"),assert(0===o.rank,\"The f passed in variableGrads(f) must return a scalar, but it returned a rank-\"+o.rank+\" tensor\");var s={};return t.forEach(function(e,t){null!=i[t]&&(s[e.name]=i[t])}),{value:o,grads:s}},e.customGrad=function(e){return ENV.engine.customGrad(e)},__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"grad\",null),__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"grads\",null),__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"valueAndGrad\",null),__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"valueAndGrads\",null),__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"variableGrads\",null),__decorate([doc({heading:\"Training\",subheading:\"Gradients\"})],e,\"customGrad\",null),e}();function checkGrads(e){if(e.filter(function(e){return null==e}).length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that\\n    the f you passed encloses all operations that lead from x to y.\")}var tidy=Tracking.tidy,keep=Tracking.keep,dispose=Tracking.dispose,time=Tracking.time,grad=Gradients.grad,valueAndGrad=Gradients.valueAndGrad,grads=Gradients.grads,valueAndGrads=Gradients.valueAndGrads,variableGrads=Gradients.variableGrads,customGrad=Gradients.customGrad,Profiler=function(){function e(e,t){this.backendTimer=e,this.logger=t,null==t&&(this.logger=new Logger)}return e.prototype.profileKernel=function(e,t){var n,r=this,a=this.backendTimer.time(function(){n=t()}),o=n.dataSync();return checkForNaN(o,n.dtype,e),a.then(function(t){r.logger.logKernelProfile(e,n,o,t.kernelMs)}),n},e}(),Logger=function(){function e(){}return e.prototype.logKernelProfile=function(e,t,n,r){var a=rightPad(r+\"ms\",9),o=rightPad(e,25),i=t.rank,s=t.size,u=rightPad(t.shape.toString(),14);console.log(\"%c\"+o+\"\\t%c\"+a+\"\\t%c\"+i+\"D \"+u+\"\\t%c\"+s,\"font-weight:bold\",\"color:red\",\"color:blue\",\"color: orange\")},e}();function getFilteredNodesXToY(e,t,n){for(var r={},a={},o=0;o<t.length;o++)r[t[o].id]=!0;for(o=0;o<e.length;o++){var i=(g=e[o]).inputs;for(var s in i){for(var u=i[s],l=!1,c=0;c<t.length;c++)if(r[u.id]){r[g.output.id]=!0,l=!0,a[g.id]=!0;break}if(l)break}}var d={};d[n.id]=!0;var p={};for(o=e.length-1;o>=0;o--){i=(g=e[o]).inputs;var h=[];h.push(g.output);for(c=0;c<h.length;c++)if(d[h[c].id]){for(var s in i)d[i[s].id]=!0,p[g.id]=!0;break}}var f=[];for(o=0;o<e.length;o++){var g;if(a[(g=e[o]).id]&&p[g.id]){var m={};for(var s in g.inputs){var v=g.inputs[s];r[v.id]&&(m[s]=v)}var y=Object.assign({},g);y.inputs=m,y.output=g.output,f.push(y)}}return f}function backpropagateGradients(e,t){for(var n=t.length-1;n>=0;n--){var r=t[n],a=e[r.output.id];if(null==r.gradient)throw new Error(\"Cannot compute gradient: gradient function not found for \"+r.name+\".\");var o=r.gradient(a);for(var i in r.inputs){if(!(i in o))throw new Error(\"Cannot backprop through input \"+i+\". Available gradients found: \"+Object.keys(o)+\".\");var s=o[i](),u=r.inputs[i];if(!arraysEqual(s.shape,u.shape))throw new Error(\"Error in gradient for op \"+r.name+\". The gradient of input '\"+i+\"' has shape '\"+s.shape+\"', which does not match the shape of the input '\"+u.shape+\"'\");if(null==e[u.id])e[u.id]=s;else{var l=e[u.id];e[u.id]=l.add(s),l.dispose()}}}}var Type,Engine=function(){function e(e,t){this.backend=e,this.safeMode=t,this.registeredVariables={},this.refCounter=new WeakMap,this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numDataBuffers=0,this.gradientScopeCount=0,this.customGradientDepth=0,this.keepTensors=new Set,this.activeScope={track:[]},this.scopeStack=[this.activeScope],this.profiler=new Profiler(e)}return e.prototype.runKernel=function(e,t,n){var r,a=this,o=[],i=function(e){return o.push(e),e},s=this.activeScope.name;if(this.customGradientDepth++,r=ENV.get(\"DEBUG\")?this.profiler.profileKernel(s,function(){return e(a.backend,i)}):e(this.backend,i),this.customGradientDepth--,this.shouldRecord()){var u={id:this.nextTapeNodeId++,name:s,inputs:t,output:r};null!=n&&(u.gradient=function(e){return n(e,o)}),this.activeTape.push(u)}return r},e.prototype.registerTensor=function(e){var t=this.refCounter.has(e.dataId)?this.refCounter.get(e.dataId):0;this.numTensors++,0===t&&(this.numDataBuffers++,this.numBytes+=sizeFromShape(e.shape)*bytesPerElement(e.dtype),this.backend.register(e.dataId,e.shape,e.dtype)),this.refCounter.set(e.dataId,t+1),e instanceof Variable||this.track(e)},e.prototype.registerVariable=function(e){if(null!=this.registeredVariables[e.name])throw new Error(\"Variable with name \"+e.name+\" was already registered\");this.registeredVariables[e.name]=e},e.prototype.disposeTensor=function(e){if(this.refCounter.has(e.dataId)){this.keepTensors.has(e.id)&&this.keepTensors.delete(e.id),this.numTensors--;var t=this.refCounter.get(e.dataId);t<=1?(this.refCounter.delete(e.dataId),this.backend.disposeData(e.dataId),this.numDataBuffers--,this.numBytes-=sizeFromShape(e.shape)*bytesPerElement(e.dtype)):this.refCounter.set(e.dataId,t-1)}},e.prototype.disposeVariables=function(){for(var e in this.registeredVariables){var t=this.registeredVariables[e];this.disposeTensor(t),delete this.registeredVariables[e]}},e.prototype.memory=function(){var e=this.backend.memory();return e.numTensors=this.numTensors,e.numDataBuffers=this.numDataBuffers,e.numBytes=this.numBytes,e},e.prototype.shouldRecord=function(){return null!=this.activeTape&&0===this.customGradientDepth},e.prototype.addTapeNode=function(e,t,n){var r={};e.forEach(function(e,t){r[t]=e});var a={id:this.nextTapeNodeId++,name:this.activeScope.name,inputs:r,output:t,gradient:function(e){var t={};return n(e).forEach(function(e,n){t[n]=function(){return e}}),t}};this.activeTape.push(a)},e.prototype.keep=function(e){if(1===this.scopeStack.length&&ENV.engine.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {...}) to avoid memory leaks.\");return this.keepTensors.add(e.id),e},e.prototype.startScope=function(e,t){void 0===t&&(t=!1),t&&0===this.gradientScopeCount&&(this.activeTape=[]),t&&this.gradientScopeCount++;var n={track:[]};e&&(n.name=e),this.scopeStack.push(n),this.activeScope=n},e.prototype.endScope=function(e,t){var n=this;void 0===t&&(t=!1),t&&(this.gradientScopeCount--,0===this.gradientScopeCount&&(this.activeTape=null));var r=new Set(this.keepTensors),a=getTensorsInContainer(e);a.forEach(function(e){return r.add(e.id)});for(var o=0;o<this.activeScope.track.length;o++){var i=this.activeScope.track[o];r.has(i.id)||(null!=this.activeTape?a.push(i):i.dispose())}var s=this.scopeStack.pop();this.activeScope=0===this.scopeStack.length?{track:[]}:this.scopeStack[this.scopeStack.length-1],a.forEach(function(e){!n.keepTensors.has(e.id)&&isTensorInList(e,s.track)&&n.track(e)})},e.prototype.gradients=function(e,t,n,r){var a=this;return void 0===r&&(r=!1),assert(t.length>0,\"gradients() received an empty list of xs.\"),tidy(\"gradients\",function(){var o=e();assert(o instanceof Tensor,\"The result y returned by f() must be a tensor.\");var i=getFilteredNodesXToY(a.activeTape,t,o);if(!r&&0===i.length&&t.length>0)throw new Error(\"Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.\");var s={};return s[o.id]=null==n?ones(o.shape):n,backpropagateGradients(s,i),{value:o,grads:t.map(function(e){return s[e.id]})}},!0)},e.prototype.customGrad=function(e){var t=this;return assert(isFunction(e),\"The f passed in customGrad(f) must be a function.\"),function(){for(var n,r=[],a=0;a<arguments.length;a++)r[a]=arguments[a];assert(r.every(function(e){return e instanceof Tensor}),\"The args passed in customGrad(f)(x1, x2,...) must all be tensors\"),t.customGradientDepth++;var o=tidy(e.name,function(){var t=e.apply(void 0,r),a=t.value,o=t.gradFunc;return assert(a instanceof Tensor,\"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\"),assert(isFunction(o),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\"),n=o,a},!0);if(t.customGradientDepth--,t.shouldRecord()){t.addTapeNode(r,o,function(e){var t=n(e),a=Array.isArray(t)?t:[t];return assert(a.length===r.length,\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...).\"),assert(a.every(function(e){return e instanceof Tensor}),\"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\"),a})}return o}},e.prototype.write=function(e,t){this.backend.write(e,t)},e.prototype.readSync=function(e){return this.backend.readSync(e)},e.prototype.read=function(e){return this.backend.read(e)},e.prototype.fromPixels=function(e,t){return this.backend.fromPixels(e,t)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){switch(r.label){case 0:return t=performance.now(),[4,this.backend.time(e)];case 1:return(n=r.sent()).wallMs=performance.now()-t,[2,n]}})})},e.prototype.track=function(e){if(1===this.scopeStack.length&&this.safeMode)throw new Error(\"Safe mode is ON. Enclose all tensor operations inside tf.tidy(): tf.tidy(() => {op();...}); to avoid memory leaks.\");return this.activeScope.track.push(e),e},e}();!function(e){e[e.NUMBER=0]=\"NUMBER\",e[e.BOOLEAN=1]=\"BOOLEAN\",e[e.STRING=2]=\"STRING\"}(Type||(Type={}));var URL_PROPERTIES=[{name:\"DEBUG\",type:Type.BOOLEAN},{name:\"IS_BROWSER\",type:Type.BOOLEAN},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\",type:Type.NUMBER},{name:\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\",type:Type.BOOLEAN},{name:\"WEBGL_VERSION\",type:Type.NUMBER},{name:\"WEBGL_RENDER_FLOAT32_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_DOWNLOAD_FLOAT_ENABLED\",type:Type.BOOLEAN},{name:\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\",type:Type.BOOLEAN},{name:\"BACKEND\",type:Type.STRING}],TEST_EPSILON_FLOAT32_ENABLED=.001,TEST_EPSILON_FLOAT32_DISABLED=.1;function hasExtension(e,t){return null!=e.getExtension(t)}function getWebGLRenderingContext(e){if(0===e||!ENV.get(\"IS_BROWSER\"))throw new Error(\"Cannot get WebGL rendering context, WebGL is disabled.\");var t=document.createElement(\"canvas\");return 1===e?t.getContext(\"webgl\")||t.getContext(\"experimental-webgl\"):t.getContext(\"webgl2\")}function loseContext(e){if(null!=e){var t=e.getExtension(\"WEBGL_lose_context\");if(null==t)throw new Error(\"Extension WEBGL_lose_context not supported on this browser.\");t.loseContext()}}function isWebGLVersionEnabled(e){var t;try{t=getWebGLRenderingContext(e)}catch(e){return!1}return null!=t&&(loseContext(t),!0)}function getWebGLDisjointQueryTimerVersion(e){if(0===e)return 0;var t,n=getWebGLRenderingContext(e);return t=hasExtension(n,\"EXT_disjoint_timer_query_webgl2\")&&2===e?2:hasExtension(n,\"EXT_disjoint_timer_query\")?1:0,null!=n&&loseContext(n),t}function createFloatTextureAndBindToFramebuffer(e,t){var n=e.createFramebuffer(),r=e.createTexture();e.bindTexture(e.TEXTURE_2D,r);var a=2===t?e.RGBA32F:e.RGBA;e.texImage2D(e.TEXTURE_2D,0,a,1,1,0,e.RGBA,e.FLOAT,null),e.bindFramebuffer(e.FRAMEBUFFER,n),e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,r,0)}function isRenderToFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLRenderingContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;createFloatTextureAndBindToFramebuffer(t,e);var n=t.checkFramebufferStatus(t.FRAMEBUFFER)===t.FRAMEBUFFER_COMPLETE;return loseContext(t),n}function isDownloadFloatTextureEnabled(e){if(0===e)return!1;var t=getWebGLRenderingContext(e);if(1===e){if(!hasExtension(t,\"OES_texture_float\"))return!1}else if(!hasExtension(t,\"EXT_color_buffer_float\"))return!1;createFloatTextureAndBindToFramebuffer(t,e),t.readPixels(0,0,1,1,t.RGBA,t.FLOAT,new Float32Array(4));var n=t.getError()===t.NO_ERROR;return loseContext(t),n}function isWebGLGetBufferSubDataAsyncExtensionEnabled(e){if(e>0)return!1;if(2!==e)return!1;var t=getWebGLRenderingContext(e),n=hasExtension(t,\"WEBGL_get_buffer_sub_data_async\");return loseContext(t),n}function isChrome(){return null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}var Environment=function(){function e(e){this.features={},this.registry={},null!=e&&(this.features=e),this.get(\"DEBUG\")&&console.warn(\"Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.\")}return e.setBackend=function(e,t){if(void 0===t&&(t=!1),!(e in ENV.registry))throw new Error(\"Backend type '\"+e+\"' not found in registry\");ENV.initBackend(e,t)},e.getBackend=function(){return ENV.initDefaultBackend(),ENV.currentBackend},e.disposeVariables=function(){ENV.engine.disposeVariables()},e.memory=function(){return ENV.engine.memory()},e.prototype.get=function(e){return e in this.features?this.features[e]:(this.features[e]=this.evaluateFeature(e),this.features[e])},e.prototype.getFeatures=function(){return this.features},e.prototype.set=function(e,t){this.features[e]=t},e.prototype.getBestBackendType=function(){var e=this;if(0===Object.keys(this.registry).length)throw new Error(\"No backend found in registry.\");return Object.keys(this.registry).map(function(t){return{name:t,entry:e.registry[t]}}).sort(function(e,t){return t.entry.priority-e.entry.priority})[0].name},e.prototype.evaluateFeature=function(e){if(\"DEBUG\"===e)return!1;if(\"IS_BROWSER\"===e)return\"undefined\"!=typeof window;if(\"IS_NODE\"===e)return\"undefined\"!=typeof process&&void 0!==process.versions.node;if(\"IS_CHROME\"===e)return isChrome();if(\"BACKEND\"===e)return this.getBestBackendType();if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\"===e){var t=this.get(\"WEBGL_VERSION\");return 0===t?0:getWebGLDisjointQueryTimerVersion(t)}if(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE\"===e)return this.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0&&!isMobile();if(\"WEBGL_VERSION\"===e)return isWebGLVersionEnabled(2)?2:isWebGLVersionEnabled(1)?1:0;if(\"WEBGL_RENDER_FLOAT32_ENABLED\"===e)return isRenderToFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"===e)return isDownloadFloatTextureEnabled(this.get(\"WEBGL_VERSION\"));if(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\"===e)return isWebGLGetBufferSubDataAsyncExtensionEnabled(this.get(\"WEBGL_VERSION\"));if(\"TEST_EPSILON\"===e)return this.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?TEST_EPSILON_FLOAT32_ENABLED:TEST_EPSILON_FLOAT32_DISABLED;throw new Error(\"Unknown feature \"+e+\".\")},e.prototype.setFeatures=function(e){this.features=e},e.prototype.reset=function(){this.features=getFeaturesFromURL(),null!=this.globalEngine&&(this.globalEngine=null)},e.prototype.initBackend=function(e,t){void 0===t&&(t=!1),this.currentBackend=e;var n=ENV.findBackend(e);this.globalEngine=new Engine(n,t)},e.prototype.findBackend=function(e){return e in this.registry?this.registry[e].backend:null},e.prototype.registerBackend=function(e,t,n){void 0===n&&(n=1),e in this.registry&&console.warn(e+\" backend was already registered\");try{var r=t();return this.registry[e]={backend:r,priority:n},!0}catch(t){return console.warn(\"Registration of backend \"+e+\" failed\"),console.warn(t.stack||t.message),!1}},e.prototype.removeBackend=function(e){if(!(e in this.registry))throw new Error(e+\" backend not found in registry\");this.registry[e].backend.dispose(),delete this.registry[e]},Object.defineProperty(e.prototype,\"engine\",{get:function(){return this.initDefaultBackend(),this.globalEngine},enumerable:!0,configurable:!0}),e.prototype.initDefaultBackend=function(){null==this.globalEngine&&this.initBackend(ENV.get(\"BACKEND\"),!1)},__decorate([doc({heading:\"Environment\"})],e,\"setBackend\",null),__decorate([doc({heading:\"Environment\"})],e,\"getBackend\",null),__decorate([doc({heading:\"Environment\"})],e,\"disposeVariables\",null),__decorate([doc({heading:\"Performance\",subheading:\"Memory\"})],e,\"memory\",null),e}(),TENSORFLOWJS_FLAGS_PREFIX=\"tfjsflags\";function getFeaturesFromURL(){var e={};if(\"undefined\"==typeof window||void 0===window.location)return e;var t=getQueryParams(window.location.search);if(TENSORFLOWJS_FLAGS_PREFIX in t){var n={};t[TENSORFLOWJS_FLAGS_PREFIX].split(\",\").forEach(function(e){var t=e.split(\":\"),r=t[0],a=t[1];n[r]=a}),URL_PROPERTIES.forEach(function(t){t.name in n&&(console.log(\"Setting feature override from URL \"+t.name+\": \"+n[t.name]),t.type===Type.NUMBER?e[t.name]=+n[t.name]:t.type===Type.BOOLEAN?e[t.name]=\"true\"===n[t.name]:t.type===Type.STRING?e[t.name]=n[t.name]:console.warn(\"Unknown URL param: \"+t.name+\".\"))})}return e}function getGlobalNamespace(){var e;if(\"undefined\"!=typeof window)e=window;else{if(\"undefined\"==typeof global)throw new Error(\"Could not find a global object\");e=global}return e}function getOrMakeEnvironment(){var e=getGlobalNamespace();return e.ENV=e.ENV||new Environment(getFeaturesFromURL()),e.ENV}var ENV=getOrMakeEnvironment(),environment=Object.freeze({get Type(){return Type},URL_PROPERTIES:URL_PROPERTIES,Environment:Environment,ENV:ENV}),PARALLELIZE_THRESHOLD=30;function computeOptimalWindowSize(e){return e<=PARALLELIZE_THRESHOLD?e:nearestDivisor(e,Math.floor(Math.sqrt(e)))}function segOpComputeOptimalWindowSize(e,t){var n,r=!1;for(e<=PARALLELIZE_THRESHOLD?(n=e,r=!0):n=nearestDivisor(e,Math.floor(Math.sqrt(e)));!r;){if(n>t||n===e){r=!0;break}n=nearestDivisor(e,n+1)}return n}function computeOutShape$1(e,t,n){for(var r=[],a=e.length,o=0;o<a;o++)o!==t?r.push(e[o]):r.push(n);return r}function castTensor(e,t,n){if(!hasEncodingLoss(e.dtype,t))return Tensor.make(e.shape,{dataId:e.dataId},t);if(\"int32\"===t)return n.int(e);if(\"bool\"===t)return n.notEqual(e,ArrayOps.scalar(0,e.dtype));throw new Error(\"Error in Cast: unknown dtype argument (\"+t+\")\")}function reshapeTensor(e,t){return Tensor.make(t,{dataId:e.dataId},e.dtype)}var ArgMinMaxProgram=function(){return function(e,t,n){this.variableNames=[\"A\"];var r=e.windowSize,a=e.batchSize,o=e.inSize,i=Math.ceil(o/r);n||this.variableNames.push(\"bestIndicesA\"),this.outputShape=[a,i];var s=\"max\"===t?\">\":\"<\",u=n?\"inOffset + i;\":\"round(getBestIndicesA(batch, inOffset + i));\";this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+r+\";\\n\\n        int bestIndex = 0;\\n        float bestValue = getA(batch, inOffset);\\n\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          int inIdx = \"+u+\";\\n          float candidate = getA(batch, inIdx);\\n          if (candidate \"+s+\" bestValue) {\\n            bestValue = candidate;\\n            bestIndex = inIdx;\\n          }\\n        }\\n        setOutput(float(bestIndex));\\n      }\\n    \"}}(),AvgPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=1/(t*n);this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n      const float avgMultiplier = float(\"+s+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n\\n            dotProd += dyValue * avgMultiplier;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),BatchNormProgram=function(){return function(e,t,n,r,a,o){this.outputShape=[],this.supportsBroadcasting=!0,this.variableNames=[\"x\",\"mean\",\"variance\"],assertAndGetBroadcastShape(e,t),assertAndGetBroadcastShape(e,n);var i=\"0.0\";null!=r&&(assertAndGetBroadcastShape(e,r),this.variableNames.push(\"offset\"),i=\"getOffsetAtOutCoords()\");var s=\"1.0\";null!=a&&(assertAndGetBroadcastShape(e,a),this.variableNames.push(\"scale\"),s=\"getScaleAtOutCoords()\"),this.outputShape=e,this.userCode=\"\\n      void main() {\\n        float x = getXAtOutCoords();\\n        float mean = getMeanAtOutCoords();\\n        float variance = getVarianceAtOutCoords();\\n        float offset = \"+i+\";\\n        float scale = \"+s+\";\\n        float inv = scale * inversesqrt(variance + float(\"+o+\"));\\n        setOutput((x - mean) * inv + offset);\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET=\"\\n  if (isNaN(a)) return a;\\n  if (isNaN(b)) return b;\\n\",ADD=\"return a + b;\",SUB=\"return a - b;\",MUL=\"return a * b;\",DIV=\"return a / b;\",INT_DIV=\"\\n  float resultSign = sign(a) * sign(b);\\n  int ia = round(a);\\n  int ib = round(b);\\n  int result = ia / ib;\\n  int amodb = ia - ib * result;\\n\\n  if (resultSign < 0.0 && amodb != 0) {\\n    result -= 1;\\n  }\\n  return float(result);\\n\",POW=\"\\n  return (round(mod(b, 2.0)) == 0 || round(mod(b, 2.0)) == 2) ?\\n      pow(abs(a), b) : sign(a) * pow(abs(a), b);\\n\",SQUARED_DIFFERENCE=\"return (a - b) * (a - b);\",EQUAL=\"return float(a == b);\",NOT_EQUAL=\"return float(a != b);\",LESS=\"return float(a < b);\",LESS_EQUAL=\"return float(a <= b);\",GREATER=\"return float(a > b);\",GREATER_EQUAL=\"return float(a >= b);\",LOGICAL_AND=\"return float(a >= 1.0 && b >= 1.0);\",LOGICAL_OR=\"return float(a >= 1.0 || b >= 1.0);\",MAX=CHECK_NAN_SNIPPET+\"\\n  return max(a, b);\\n\",MIN=CHECK_NAN_SNIPPET+\"\\n  return min(a, b);\\n\",MOD=\"return mod(a, b);\",ATAN2=CHECK_NAN_SNIPPET+\"\\n  return atan(a, b);\\n\",ELU_DER=\"return (b >= 1.0) ? a : a * (b + 1.0);\",BinaryOpProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"B\"],this.supportsBroadcasting=!0,this.outputShape=assertAndGetBroadcastShape(t,n),this.userCode=\"\\n      float binaryOperation(float a, float b) {\\n        \"+e+\"\\n      }\\n\\n      void main() {\\n        float a = getAAtOutCoords();\\n        float b = getBAtOutCoords();\\n        setOutput(binaryOperation(a, b));\\n      }\\n    \"}}(),ClipProgram=function(){return function(e,t,n){this.variableNames=[\"A\"],this.outputShape=e;var r=t.toFixed(20),a=n.toFixed(20);this.userCode=\"\\n      void main() {\\n        float value = getAAtOutCoords();\\n        if (isNaN(value)) {\\n          setOutput(value);\\n          return;\\n        }\\n\\n        setOutput(clamp(value, \"+r+\", \"+a+\"));\\n      }\\n    \"}}(),ConcatProgram=function(){return function(e,t){this.variableNames=[\"A\",\"B\"],this.outputShape=[],this.outputShape=computeOutShape(e,t,1),this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int yR = coords.x;\\n        int yC = coords.y;\\n\\n        float value = 0.0;\\n        if (yC < \"+e[1]+\") {\\n          value = getA(yR, yC);\\n        } else {\\n          yC -= \"+e[1]+\";\\n          value = getB(yR, yC);\\n        }\\n\\n        setOutput(value);\\n      }\\n    \"}}(),Conv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int d2 = coords.w;\\n\\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+a+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            for (int d2 = 0; d2 < \"+e.outChannels+\"; d2++) {\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, d2);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerFilterProgram=function(){return function(e){this.variableNames=[\"x\",\"dy\"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int wR = coords.x;\\n        int wC = coords.y;\\n        int d1 = coords.z;\\n        int dm = coords.w;\\n        int d2 = d1 * \"+o+\" + dm;\\n\\n        float dotProd = 0.0;\\n\\n        // TODO: Vec4 over the batch size\\n        for (int b = 0; b < \"+e.batchSize+\"; b++) {\\n          for (int yR = 0; yR < \"+e.outHeight+\"; yR++) {\\n            int xR = wR + yR * \"+t+\" - \"+r+\";\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int yC = 0; yC < \"+e.outWidth+\"; yC++) {\\n              int xC = wC + yC * \"+n+\" - \"+a+\";\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float dyValue = getDy(b, yR, yC, d2);\\n              float xValue = getX(b, xR, xC, d1);\\n              dotProd += (xValue * dyValue);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DDerInputProgram=function(){return function(e){this.variableNames=[\"dy\",\"W\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d1 = coords[3];\\n        ivec2 dyCorner = coords.yz - pads;\\n        int dyRCorner = dyCorner.x;\\n        int dyCCorner = dyCorner.y;\\n\\n        float dotProd = 0.0;\\n\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          int wRPerm = \"+t+\" - 1 - wR;\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            int wCPerm = \"+n+\" - 1 - wC;\\n\\n            // TODO: Vec4 over the channelMul\\n            for (int dm = 0; dm < \"+s+\"; dm++) {\\n              int d2 = d1 * \"+s+\" + dm;\\n              float xValue = getDy(batch, idyR, idyC, d2);\\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\\n              dotProd += xValue * wValue;\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),Conv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.padInfo.top,n=e.padInfo.left,r=e.strideHeight,a=e.strideWidth,o=e.dilationHeight,i=e.dilationWidth,s=e.filterHeight,u=e.filterWidth,l=4*Math.floor(e.inChannels/4),c=e.inChannels%4;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+r+\", \"+a+\");\\n      const ivec2 pads = ivec2(\"+t+\", \"+n+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d2 = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+s+\"; wR++) {\\n          int xR = xRCorner + wR * \"+o+\";\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+u+\"; wC++) {\\n            int xC = xCCorner + wC * \"+i+\";\\n\\n            if (xC < 0 || xC >= \"+e.inWidth+\") {\\n              continue;\\n            }\\n\\n            for (int d1 = 0; d1 < \"+l+\"; d1 += 4) {\\n              vec4 xValues = vec4(\\n                getX(batch, xR, xC, d1),\\n                getX(batch, xR, xC, d1 + 1),\\n                getX(batch, xR, xC, d1 + 2),\\n                getX(batch, xR, xC, d1 + 3)\\n              );\\n              vec4 wValues = vec4(\\n                getW(wR, wC, d1, d2),\\n                getW(wR, wC, d1 + 1, d2),\\n                getW(wR, wC, d1 + 2, d2),\\n                getW(wR, wC, d1 + 3, d2)\\n              );\\n\\n              dotProd += dot(xValues, wValues);\\n            }\\n\\n            if (\"+(1===c)+\") {\\n              dotProd +=\\n                getX(batch, xR, xC, \"+l+\") *\\n                getW(wR, wC, \"+l+\", d2);\\n            } else if (\"+(2===c)+\") {\\n              vec2 xValues = vec2(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1)\\n              );\\n              vec2 wValues = vec2(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            } else if (\"+(3===c)+\") {\\n              vec3 xValues = vec3(\\n                getX(batch, xR, xC, \"+l+\"),\\n                getX(batch, xR, xC, \"+l+\" + 1),\\n                getX(batch, xR, xC, \"+l+\" + 2)\\n              );\\n              vec3 wValues = vec3(\\n                getW(wR, wC, \"+l+\", d2),\\n                getW(wR, wC, \"+l+\" + 1, d2),\\n                getW(wR, wC, \"+l+\" + 2, d2)\\n              );\\n              dotProd += dot(xValues, wValues);\\n            }\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),DepthwiseConv2DProgram=function(){return function(e){this.variableNames=[\"x\",\"W\"],this.outputShape=e.outShape;var t=e.inHeight,n=e.inWidth,r=e.padInfo.top,a=e.padInfo.left,o=e.strideHeight,i=e.strideWidth,s=e.dilationHeight,u=e.dilationWidth,l=e.filterHeight,c=e.filterWidth,d=e.outChannels/e.inChannels;this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+r+\", \"+a+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords.x;\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int d2 = coords.w;\\n        int d1 = d2 / \"+d+\";\\n        int q = d2 - d1 * \"+d+\";\\n\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        // TODO(dsmilkov): Flatten the two for loops and vec4 the operations.\\n        for (int wR = 0; wR < \"+l+\"; wR++) {\\n          int xR = xRCorner + wR * \"+s+\";\\n\\n          if (xR < 0 || xR >= \"+t+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+c+\"; wC++) {\\n            int xC = xCCorner + wC * \"+u+\";\\n\\n            if (xC < 0 || xC >= \"+n+\") {\\n              continue;\\n            }\\n\\n            float xVal = getX(batch, xR, xC, d1);\\n            float wVal = getW(wR, wC, d1, q);\\n            dotProd += xVal * wVal;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}();function makeShader(e,t,n,r){var a=e.map(function(e){var t=sizeFromShape(e.shapeInfo.logicalShape);return e.shapeInfo.isUniform?\"uniform float \"+e.name+(t>1?\"[\"+t+\"]\":\"\")+\";\":\"uniform sampler2D \"+e.name+\";\"});a=a.join(\"\\n\");var o=e.map(function(e){return getInputSamplingSnippet(e,t,r)}).join(\"\\n\"),i=t.texShape,s=getOutputSamplingSnippet(t.logicalShape,i);return[SHADER_PREFIX,FLOAT_TEXTURE_SAMPLE_SNIPPET,FLOAT_TEXTURE_SETOUTPUT_SNIPPET,a,s,o,n].join(\"\\n\")}function getSamplerFromInInfo(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return getSamplerScalar(e);case 1:return getSampler1D(e);case 2:return getSampler2D(e);case 3:return getSampler3D(e);case 4:return getSampler4D(e);case 5:return getSampler5D(e);case 6:return getSampler6D(e);default:throw new Error(t.length+\"-D input sampling is not yet supported\")}}function getInputSamplingSnippet(e,t,n){var r=getSamplerFlat(e);return r+=getSamplerFromInInfo(e),(n||arraysEqual(e.shapeInfo.logicalShape,t.logicalShape))&&(r+=getSamplerAtOutputCoords(e,t,n)),r}function getOutputSamplingSnippet(e,t){switch(e.length){case 0:return getOutputScalarCoords();case 1:return getOutput1DCoords(e,t);case 2:return getOutput2DCoords(e,t);case 3:return getOutput3DCoords(e,t);case 4:return getOutput4DCoords(e,t);case 5:return getOutput5DCoords(e,t);case 6:return getOutput6DCoords(e,t);default:throw new Error(e.length+\"-D output sampling is not yet supported\")}}var SAMPLE_1D_SNIPPET=\"\\nvec2 UVfrom1D(int texNumR, int texNumC, int index) {\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_2D_SNIPPET=\"\\nvec2 UVfrom2D(int texNumR, int texNumC, int numC, int row, int col) {\\n  int index = row * numC + col;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_3D_SNIPPET=\"\\nvec2 UVfrom3D(int texNumR, int texNumC, int stride0,\\n    int stride1, int row, int col, int depth) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_4D_SNIPPET=\"\\nvec2 UVfrom4D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int row, int col, int depth,\\n    int depth2) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_5D_SNIPPET=\"\\nvec2 UVfrom5D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int row, int col, int depth,\\n    int depth2, int depth3) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 +\\n              depth * stride2 + depth2 * stride3 + depth3;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",SAMPLE_6D_SNIPPET=\"\\nvec2 UVfrom6D(int texNumR, int texNumC, int stride0,\\n    int stride1, int stride2, int stride3, int stride4,\\n    int row, int col, int depth, int depth2, int depth3, int depth4) {\\n  // Explicitly use integer operations as dot() only works on floats.\\n  int index = row * stride0 + col * stride1 + depth * stride2 + depth2 *\\n    stride3 + depth3 * stride4 + depth4;\\n  int texR = index / texNumC;\\n  int texC = index - texR * texNumC;\\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\\n}\\n\",FLOAT_TEXTURE_SAMPLE_SNIPPET=\"\\n  float sampleTexture(sampler2D textureSampler, vec2 uv) {\\n    return texture2D(textureSampler, uv).r;\\n  }\\n\",FLOAT_TEXTURE_SETOUTPUT_SNIPPET=\"\\n  void setOutput(float val) {\\n    gl_FragColor = vec4(val, 0, 0, 0);\\n  }\\n\",SHADER_PREFIX=\"\\n  precision highp float;\\n  precision highp int;\\n  varying vec2 resultUV;\\n  const vec2 halfCR = vec2(0.5, 0.5);\\n\\n  struct ivec5\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n  };\\n\\n  struct ivec6\\n  {\\n    int x;\\n    int y;\\n    int z;\\n    int w;\\n    int u;\\n    int v;\\n  };\\n\\n  bool isNaN(float val) {\\n    return (val < 0.0 || 0.0 < val || val == 0.0) ? false : true;\\n  }\\n\\n  bool hasNaN(vec4 values) {\\n    vec4 v1 = values * values;\\n    vec4 v2 = values * values;\\n    return any(notEqual(v1, v2));\\n  }\\n\\n  float getNaN(vec4 values) {\\n    return dot(vec4(1), values);\\n  }\\n\\n  int round(float value) {\\n    return int(floor(value + 0.5));\\n  }\\n\\n  int imod(int x, int y) {\\n    return x - y * (x / y);\\n  }\\n\\n  //Based on the work of Dave Hoskins\\n  //https://www.shadertoy.com/view/4djSRW\\n  #define HASHSCALE1 443.8975\\n  float random(float seed){\\n    vec2 p = resultUV * seed;\\n    vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\\n    p3 += dot(p3, p3.yzx + 19.19);\\n    return fract((p3.x + p3.y) * p3.z);\\n  }\\n\\n  \"+SAMPLE_1D_SNIPPET+\"\\n  \"+SAMPLE_2D_SNIPPET+\"\\n  \"+SAMPLE_3D_SNIPPET+\"\\n  \"+SAMPLE_4D_SNIPPET+\"\\n  \"+SAMPLE_5D_SNIPPET+\"\\n  \"+SAMPLE_6D_SNIPPET+\"\\n\";function getOutputScalarCoords(){return\"\\n    int getOutputCoords() {\\n      return 0;\\n    }\\n  \"}function getOutput1DCoords(e,t){return 1===t[0]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.x * \"+t[1]+\".0);\\n      }\\n    \":1===t[1]?\"\\n      int getOutputCoords() {\\n        return int(resultUV.y * \"+t[0]+\".0);\\n      }\\n    \":\"\\n    int getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      return resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n    }\\n  \"}function getOutput3DCoords(e,t){var n=e[1]*e[2],r=e[2];return\"\\n    ivec3 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+n+\";\\n      index -= r * \"+n+\";\\n      int c = index / \"+r+\";\\n      int d = index - c * \"+r+\";\\n      return ivec3(r, c, d);\\n    }\\n  \"}function getOutput4DCoords(e,t){var n=e[3],r=e[2]*n,a=e[1]*r;return\"\\n    ivec4 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+a+\";\\n      index -= r * \"+a+\";\\n\\n      int c = index / \"+r+\";\\n      index -= c * \"+r+\";\\n\\n      int d = index / \"+n+\";\\n      int d2 = index - d * \"+n+\";\\n\\n      return ivec4(r, c, d, d2);\\n    }\\n  \"}function getOutput5DCoords(e,t){var n=e[4],r=e[3]*n,a=e[2]*r,o=e[1]*a;return\"\\n    ivec5 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(\"+t[0]+\",\\n                             \"+t[1]+\"));\\n\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+o+\";\\n      index -= r * \"+o+\";\\n\\n      int c = index / \"+a+\";\\n      index -= c * \"+a+\";\\n\\n      int d = index / \"+r+\";\\n      index -= d * \"+r+\";\\n\\n      int d2 = index  / \"+n+\";\\n      int d3 = index - d2 * \"+n+\";\\n\\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\\n      return outShape;\\n    }\\n  \"}function getOutput6DCoords(e,t){var n=e[5],r=e[4]*n,a=e[3]*r,o=e[2]*a,i=e[1]*o;return\"\\n    ivec6 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n        vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n\\n      int r = index / \"+i+\";\\n      index -= r * \"+i+\";\\n\\n      int c = index / \"+o+\";\\n      index -= c * \"+o+\";\\n\\n      int d = index / \"+a+\";\\n      index -= d * \"+a+\";\\n\\n      int d2 = index / \"+r+\";\\n      index -= d2 * \"+r+\";\\n\\n      int d3 = index / \"+n+\";\\n      int d4 = index - d3 * \"+n+\";\\n\\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\\n      return result;\\n    }\\n  \"}function getOutput2DCoords(e,t){return arraysEqual(e,t)?\"\\n      ivec2 getOutputCoords() {\\n        return ivec2(resultUV.yx * vec2(\"+t[0]+\", \"+t[1]+\"));\\n      }\\n    \":1===e[1]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(index, 0);\\n      }\\n    \":1===e[0]?\"\\n      ivec2 getOutputCoords() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                               vec2(\"+t[0]+\", \"+t[1]+\"));\\n        int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n        return ivec2(0, index);\\n      }\\n    \":\"\\n    ivec2 getOutputCoords() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+t[0]+\", \"+t[1]+\"));\\n      int index = resTexRC.x * \"+t[1]+\" + resTexRC.y;\\n      int r = index / \"+e[1]+\";\\n      int c = index - r * \"+e[1]+\";\\n      return ivec2(r, c);\\n    }\\n  \"}function getSamplerScalar(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return e.shapeInfo.isUniform?\"float \"+n+\"() {return \"+t+\";}\":\"\\n    float \"+n+\"() {\\n      return sampleTexture(\"+t+\", halfCR);\\n    }\\n  \"}function getSampler1D(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1);return\"\\n    float \"+n+\"(int index) {\\n      return \"+n+\"Flat(index);\\n    }\\n  \"}function getSampler2D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(null!=a&&arraysEqual(t,a)){var o=a[0];return\"\\n    float \"+r+\"(int row, int col) {\\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(\"+a[1]+\".0, \"+o+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}var i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\"],u)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col) {\\n        int index = row * \"+t[1]+\" + col;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=a[0],d=a[1];return 1===d?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+c+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":1===c?\"\\n    float \"+r+\"(int row, int col) {\\n      int index = row * \"+t[1]+\" + col;\\n      vec2 uv = vec2((float(index) + 0.5) / \"+d+\".0, 0.5);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n  float \"+r+\"(int row, int col) {\\n    vec2 uv = UVfrom2D(\"+c+\", \"+d+\", \"+t[1]+\", row, col);\\n    return sampleTexture(\"+n+\", uv);\\n  }\\n\"}function getSampler3D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],o=t[2],i=squeezeShape(t),s=i.newShape,u=i.keptDims,l=s;if(l.length<t.length){return\"\\n        \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\"],u)+\");\\n        }\\n      \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        int index = row * \"+a+\" + col * \"+o+\" + depth;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,d=c[0],p=c[1];return p===a?\"\\n        float \"+r+\"(int row, int col, int depth) {\\n          int texR = row;\\n          int texC = col * \"+o+\" + depth;\\n          vec2 uv = (vec2(texC, texR) + halfCR) /\\n                     vec2(\"+p+\".0, \"+d+\".0);\\n          return sampleTexture(\"+n+\", uv);\\n        }\\n      \":p===o?\"\\n    float \"+r+\"(int row, int col, int depth) {\\n      int texR = row * \"+t[1]+\" + col;\\n      int texC = depth;\\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+p+\".0, \"+d+\".0);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \":\"\\n      float \"+r+\"(int row, int col, int depth) {\\n        vec2 uv = UVfrom3D(\\n            \"+d+\", \"+p+\", \"+a+\", \"+o+\", row, col, depth);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n  \"}function getSampler4D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],o=t[2]*a,i=t[1]*o,s=squeezeShape(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,u))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\"],l)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int index = row * \"+i+\" + col * \"+o+\" +\\n            depth * \"+a+\" + depth2;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var c=e.shapeInfo.texShape,d=c[0],p=c[1];return p===i?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row;\\n        int texC = col * \"+o+\" + depth * \"+a+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+p+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":p===a?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+p+\".0, \"+d+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2) {\\n      vec2 uv = UVfrom4D(\"+d+\", \"+p+\", \"+i+\", \"+o+\",\\n          \"+a+\", row, col, depth, depth2);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler5D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],o=t[3]*a,i=t[2]*o,s=t[1]*i,u=squeezeShape(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,l))+\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\"],c)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int index = row * \"+s+\" + col * \"+i+\" +\\n            depth * \"+o+\" + depth2 * \"+a+\" + depth3;\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var d=e.shapeInfo.texShape,p=d[0],h=d[1];return h===s?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row;\\n        int texC = col * \"+i+\" + depth * \"+o+\" +\\n                   depth2 * \"+a+\" + depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+h+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":h===a?\"\\n      float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" +\\n                   depth * \"+t[3]+\" + depth2;\\n        int texC = depth3;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+h+\".0, \"+p+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth, int depth2, int depth3) {\\n      vec2 uv = UVfrom5D(\"+p+\", \"+h+\", \"+s+\", \"+i+\",\\n          \"+o+\", \"+a+\", row, col, depth, depth2, depth3);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSampler6D(e){var t=e.shapeInfo.logicalShape,n=e.name,r=\"get\"+n.charAt(0).toUpperCase()+n.slice(1),a=t[5],o=t[4]*a,i=t[3]*o,s=t[2]*i,u=t[1]*s,l=squeezeShape(t),c=l.newShape,d=l.keptDims;if(c.length<t.length){return\"\\n      \"+getSamplerFromInInfo(squeezeInputInfo(e,c))+\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        return \"+r+\"(\"+getSqueezedParams([\"row\",\"col\",\"depth\",\"depth2\",\"depth3\",\"depth4\"],d)+\");\\n      }\\n    \"}if(e.shapeInfo.isUniform)return\"\\n      float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n        int index = row * \"+u+\" + col * \"+s+\" +\\n            depth * \"+i+\" + depth2 * \"+o+\" + depth3 * \"+o+\"\\n            + depth4\\n        return \"+r+\"Flat(index);\\n      }\\n    \";var p=e.shapeInfo.texShape,h=p[0],f=p[1];return f===u?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row;\\n        int texC = col * \"+s+\" + depth * \"+i+\" + depth2;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                   vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":f===a?\"\\n      float \"+r+\"(int row, int col, int depth,\\n                    int depth2, int depth3, int depth4) {\\n        int texR = row * \"+t[1]*t[2]+\" + col * \"+t[2]+\" + depth;\\n        int texC = depth4;\\n        vec2 uv = (vec2(texC, texR) + halfCR) /\\n                  vec2(\"+f+\".0, \"+h+\".0);\\n        return sampleTexture(\"+n+\", uv);\\n      }\\n    \":\"\\n    float \"+r+\"(int row, int col, int depth,\\n                  int depth2, int depth3, int depth4) {\\n      vec2 uv = UVfrom6D(\"+h+\", \"+f+\", \"+u+\", \"+s+\",\\n          \"+i+\", \"+o+\", \"+a+\"\\n          ,row, col, depth, depth2, depth3, depth4);\\n      return sampleTexture(\"+n+\", uv);\\n    }\\n  \"}function getSamplerFlat(e){var t=e.name,n=\"get\"+t.charAt(0).toUpperCase()+t.slice(1)+\"Flat\",r=sizeFromShape(e.shapeInfo.logicalShape);if(e.shapeInfo.isUniform)return 1===r?\"float \"+n+\"(int index) {return \"+t+\";}\":\"\\n      float \"+n+\"(int index) {\\n        for (int i = 0; i < \"+r+\"; i++) {\\n          if (i == index) {\\n            return \"+t+\"[i];\\n          }\\n        }\\n      }\\n    \";var a=e.shapeInfo.texShape,o=a[0],i=a[1];return 1===i&&1===o?\"\\n      float \"+n+\"(int index) {\\n        return sampleTexture(\"+t+\", halfCR);\\n      }\\n    \":1===i?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2(0.5, (float(index) + 0.5) / \"+o+\".0);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":1===o?\"\\n      float \"+n+\"(int index) {\\n        vec2 uv = vec2((float(index) + 0.5) / \"+i+\".0, 0.5);\\n        return sampleTexture(\"+t+\", uv);\\n      }\\n    \":\"\\n    float \"+n+\"(int index) {\\n      vec2 uv = UVfrom1D(\"+o+\", \"+i+\", index);\\n      return sampleTexture(\"+t+\", uv);\\n    }\\n  \"}function getBroadcastOutputCoordsSampler(e,t,n,r){var a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=\"int\";2===o?i=\"ivec2\":3===o?i=\"ivec3\":4===o&&(i=\"ivec4\");var s=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),u=o-a;return\"\\n    float \"+r+\"() {\\n      \"+i+\" coords = getOutputCoords();\\n      \"+(0===a?\"\":o<2&&s.length>=1?\"coords = 0;\":s.map(function(e){return\"coords[\"+(e+u)+\"] = 0;\"}).join(\"\\n\"))+\"\\n      return get\"+n+\"(\"+(o<2&&a>0?\"coords\":e.shapeInfo.logicalShape.map(function(e,t){return\"coords[\"+(t+u)+\"]\"}).join(\", \"))+\");\\n    }\\n  \"}function getSamplerAtOutputCoords(e,t,n){var r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),o=\"get\"+a+\"AtOutCoords\",i=getBroadcastDims(e.shapeInfo.logicalShape,t.logicalShape),s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length,l=n&&(u>s||i.length>0),c=broadcastDimsAreOuter(i),d=e.shapeInfo.isUniform;if(l&&!c)return getBroadcastOutputCoordsSampler(e,t,a,o);var p=sizeFromShape(e.shapeInfo.logicalShape),h=\"\";l&&c&&(h=\"\\n        int mainPart = index / \"+p+\";\\n        index -= mainPart * \"+p+\";\\n      \");var f=t.texShape;if(d)return 1===p?\"float \"+o+\"() {return \"+r+\";}\":\"\\n      float \"+o+\"() {\\n        ivec2 resTexRC = ivec2(resultUV.yx *\\n                              vec2(\"+f[0]+\", \"+f[1]+\"));\\n        int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n        \"+h+\"\\n        return get\"+a+\"Flat(index);\\n      }\\n    \";var g=e.shapeInfo.texShape;return arraysEqual(g,f)?\"\\n      float \"+o+\"() {\\n        return sampleTexture(\"+r+\", resultUV);\\n      }\\n    \":\"\\n    float \"+o+\"() {\\n      ivec2 resTexRC = ivec2(resultUV.yx *\\n                             vec2(\"+f[0]+\", \"+f[1]+\"));\\n      int index = resTexRC.x * \"+f[1]+\" + resTexRC.y;\\n      \"+h+\"\\n      int texR = index / \"+g[1]+\";\\n      int texC = index - texR * \"+g[1]+\";\\n      vec2 uv = (vec2(texC, texR) + halfCR) /\\n                 vec2(\"+g[1]+\".0, \"+g[0]+\".0);\\n\\n      return sampleTexture(\"+r+\", uv);\\n    }\\n  \"}function getCoordsDataType(e){if(e<=1)return\"int\";if(2===e)return\"ivec2\";if(3===e)return\"ivec3\";if(4===e)return\"ivec4\";if(5===e)return\"ivec5\";if(6===e)return\"ivec6\";throw Error(\"GPU for rank \"+e+\" is not yet supported\")}function squeezeInputInfo(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function getSqueezedParams(e,t){return t.map(function(t){return e[t]}).join(\", \")}var CumSumProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=e;var r=e.length,a=e[e.length-1],o=n?\"<\":\">\";this.userCode=\"\\n      int getIndex(int i) {\\n        \"+(n?\"return \"+a+\" -i - 1;\":\"return i;\")+\"\\n      }\\n\\n      void main() {\\n        \"+getCoordsDataType(r)+\" coords = getOutputCoords();\\n        int end = \"+getFinalCoord(r,\"coords\")+\";\\n        float val = 0.0;\\n        for (int i = \"+a+\" - 1; i >= 0; i -= 1) {\\n          int idx = getIndex(i);\\n          if (idx \"+o+\" end) {\\n            continue;\\n          }\\n          if (idx == end && \"+t+\") {\\n            continue;\\n          }\\n          \"+getFinalCoord(r,\"coords\")+\" = idx;\\n          val += getX(\"+getCoords(r,\"coords\")+\");\\n        }\\n        setOutput(val);\\n      }\\n    \"}}();function getCoords(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".x, \"+t+\".y\";if(3===e)return t+\".x, \"+t+\".y, \"+t+\".z\";if(4===e)return t+\".x, \"+t+\".y, \"+t+\".z, \"+t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}function getFinalCoord(e,t){if(1===e)return\"\"+t;if(2===e)return t+\".y\";if(3===e)return t+\".z\";if(4===e)return t+\".w\";throw Error(\"Cumulative sum for rank \"+e+\" is not yet supported\")}var TextureUsage,PhysicalTextureType,EncodeFloatProgram=function(){return function(e){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      const float FLOAT_MAX = 1.70141184e38;\\n      const float FLOAT_MIN = 1.17549435e-38;\\n\\n      lowp vec4 encode_float(highp float v) {\\n        if (isNaN(v)) {\\n          return vec4(255, 255, 255, 255);\\n        }\\n\\n        highp float av = abs(v);\\n\\n        if(av < FLOAT_MIN) {\\n          return vec4(0.0, 0.0, 0.0, 0.0);\\n        } else if(v > FLOAT_MAX) {\\n          return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\\n        } else if(v < -FLOAT_MAX) {\\n          return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\\n        }\\n\\n        highp vec4 c = vec4(0,0,0,0);\\n\\n        highp float e = floor(log2(av));\\n        highp float m = exp2(fract(log2(av))) - 1.0;\\n\\n        c[2] = floor(128.0 * m);\\n        m -= c[2] / 128.0;\\n        c[1] = floor(32768.0 * m);\\n        m -= c[1] / 32768.0;\\n        c[0] = floor(8388608.0 * m);\\n\\n        highp float ebias = e + 127.0;\\n        c[3] = floor(ebias / 2.0);\\n        ebias -= c[3] * 2.0;\\n        c[2] += floor(ebias) * 128.0;\\n\\n        c[3] += 128.0 * step(0.0, -v);\\n\\n        return c / 255.0;\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        gl_FragColor = encode_float(x);\\n      }\\n    \"}}(),FromPixelsProgram=function(){return function(e){this.variableNames=[\"A\"];var t=e[0],n=e[1];this.outputShape=e,this.userCode=\"\\n      void main() {\\n        ivec3 coords = getOutputCoords();\\n        int texR = coords[0];\\n        int texC = coords[1];\\n        int depth = coords[2];\\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(\"+n+\".0, \"+t+\".0);\\n\\n        vec4 values = texture2D(A, uv);\\n        float value;\\n        if (depth == 0) {\\n          value = values.r;\\n        } else if (depth == 1) {\\n          value = values.g;\\n        } else if (depth == 2) {\\n          value = values.b;\\n        } else if (depth == 3) {\\n          value = values.a;\\n        }\\n\\n        setOutput(floor(value * 255.0 + 0.5));\\n      }\\n    \"}}(),GatherProgram=function(){return function(e,t,n){this.variableNames=[\"A\",\"indices\"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=getCoordsDataType(this.rank),o=getSourceCoords(e,n);this.userCode=\"\\n      void main() {\\n        \"+a+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+o+\"));\\n      }\\n    \"}}();function getSourceCoords(e,t){var n=e.length;if(n>4)throw Error(\"Gather for rank \"+n+\" is not yet supported\");if(1===n)return\"int(getIndices(resRC))\";for(var r=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],a=[],o=0;o<e.length;o++)o===t?a.push(\"int(getIndices(\"+r[o]+\"))\"):a.push(\"\"+r[o]);return a.join()}function getUnpackedMatrixTextureShapeWidthHeight(e,t){return[t,e]}function getUnpackedArraySizeFromMatrixSize(e,t){return e*t}function getMatrixSizeFromUnpackedArraySize(e,t){if(e%t!=0)throw new Error(\"unpackedSize (\"+e+\") must be a multiple of \"+t);return e/t}function encodeMatrixToUnpackedArray(e,t,n){var r=getUnpackedArraySizeFromMatrixSize(e.length,n);if(t.length<r)throw new Error(\"unpackedArray length (\"+t.length+\") must be >= \"+r);for(var a=0,o=0;o<e.length;++o)t[a]=e[o],a+=n}function decodeMatrixFromUnpackedArray(e,t,n){var r=getMatrixSizeFromUnpackedArraySize(e.length,n);if(t.length<r)throw new Error(\"matrix length (\"+t.length+\") must be >= \"+r);for(var a=0,o=0;o<e.length;o+=n)t[a++]=e[o]}function getPackedMatrixTextureShapeWidthHeight(e,t){return[Math.ceil(t/2),Math.ceil(e/2)]}function getPackedRGBAArraySizeFromMatrixShape(e,t){var n=getPackedMatrixTextureShapeWidthHeight(e,t);return n[0]*n[1]*4}function encodeMatrixToPackedRGBA(e,t,n,r){var a=getPackedRGBAArraySizeFromMatrixShape(t,n);if(r.length<a)throw new Error(\"packedRGBA length (\"+r.length+\") must be >= \"+a);for(var o=getPackedMatrixTextureShapeWidthHeight(t,n),i=o[0],s=o[1],u=n%2==1,l=t%2==1,c=Math.floor(n/2),d=Math.floor(t/2),p=u?4:0,h=n,f=0,g=0;g<d;++g){for(var m=2*g*n,v=0;v<c;++v){var y=m+2*v;r[f]=e[y],r[f+1]=e[y+1],r[f+2]=e[y+h],r[f+3]=e[y+h+1],f+=4}f+=p}if(u){y=n-1,f=4*(i-1);var x=2*n;for(p=4*i,g=0;g<d;++g)r[f]=e[y],r[f+2]=e[y+n],y+=x,f+=p}if(l)for(y=(t-1)*n,f=(s-1)*i*4,v=0;v<c;++v)r[f++]=e[y++],r[f++]=e[y++],f+=2;return u&&l&&(r[r.length-4]=e[e.length-1]),r}function decodeMatrixFromPackedRGBA(e,t,n,r){var a=t*n;if(a<r.length)throw new Error(\"matrix length (\"+r.length+\") must be >= \"+a);for(var o=n%2==1,i=t%2==1,s=Math.floor(n/2),u=Math.floor(t/2),l=getPackedMatrixTextureShapeWidthHeight(t,n),c=l[0],d=l[1],p=o?4:0,h=n+(o?1:0),f=0,g=0,m=n,v=0;v<u;++v){for(var y=0;y<s;++y)r[g++]=e[f++],r[g++]=e[f++],r[m++]=e[f++],r[m++]=e[f++];f+=p,g+=h,m+=h}if(o){f=4*(c-1);var x=n-1;for(p=4*c,h=2*n,v=0;v<u;++v)r[x]=e[f],r[x+n]=e[f+2],f+=p,x+=h}if(i)for(f=(d-1)*c*4,x=(t-1)*n,y=0;y<s;++y)r[x++]=e[f++],r[x++]=e[f++],f+=2;return o&&i&&(r[r.length-1]=e[e.length-4]),r}!function(e){e[e.RENDER=0]=\"RENDER\",e[e.UPLOAD=1]=\"UPLOAD\",e[e.PIXELS=2]=\"PIXELS\",e[e.DOWNLOAD=3]=\"DOWNLOAD\"}(TextureUsage||(TextureUsage={})),function(e){e[e.FLOAT16=0]=\"FLOAT16\",e[e.FLOAT32=1]=\"FLOAT32\",e[e.UNSIGNED_BYTE=2]=\"UNSIGNED_BYTE\"}(PhysicalTextureType||(PhysicalTextureType={}));var MAX_TEXTURE_SIZE=null;function createWebGLRenderingContext(e){var t=document.createElement(\"canvas\");return t.width=1,t.height=1,createWebGLRenderingContextFromCanvas(t,e)}function createWebGLRenderingContextFromCanvas(e,t){var n,r=ENV.get(\"WEBGL_VERSION\");if(2===r?n=e.getContext(\"webgl2\",t):1===r&&(n=e.getContext(\"webgl\",t)||e.getContext(\"experimental-webgl\",t)),0===r||null==n)throw new Error(\"This browser does not support WebGL.\");return n}function callAndCheck(e,t){var n=t();return checkWebGLError(e),n}var webGLDebugErrorCheckingEnabled=!1;function enableDebugWebGLErrorChecking(e){webGLDebugErrorCheckingEnabled=e}function checkWebGLError(e){if(webGLDebugErrorCheckingEnabled){var t=e.getError();if(t!==e.NO_ERROR)throw new Error(\"WebGL Error: \"+getWebGLErrorMessage(e,t))}}function getWebGLErrorMessage(e,t){switch(t){case e.NO_ERROR:return\"NO_ERROR\";case e.INVALID_ENUM:return\"INVALID_ENUM\";case e.INVALID_VALUE:return\"INVALID_VALUE\";case e.INVALID_OPERATION:return\"INVALID_OPERATION\";case e.INVALID_FRAMEBUFFER_OPERATION:return\"INVALID_FRAMEBUFFER_OPERATION\";case e.OUT_OF_MEMORY:return\"OUT_OF_MEMORY\";case e.CONTEXT_LOST_WEBGL:return\"CONTEXT_LOST_WEBGL\";default:return\"Unknown error code \"+t}}function getExtensionOrThrow(e,t){return throwIfNull(e,function(){return e.getExtension(t)},'Extension \"'+t+'\" not supported on this browser.')}function createVertexShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.VERTEX_SHADER)},\"Unable to create vertex WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error(\"Failed to compile vertex shader.\");return n}function createFragmentShader(e,t){var n=throwIfNull(e,function(){return e.createShader(e.FRAGMENT_SHADER)},\"Unable to create fragment WebGLShader.\");if(callAndCheck(e,function(){return e.shaderSource(n,t)}),callAndCheck(e,function(){return e.compileShader(n)}),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw logShaderSourceAndInfoLog(t,e.getShaderInfoLog(n)),new Error(\"Failed to compile fragment shader.\");return n}var lineNumberRegex=/ERROR: [0-9]+:([0-9]+):/g;function logShaderSourceAndInfoLog(e,t){var n=lineNumberRegex.exec(t);if(null==n)return console.log(\"Couldn't parse line number in error: \"+t),void console.log(e);for(var r=+n[1],a=e.split(\"\\n\"),o=a.length.toString().length+2,i=a.map(function(e,t){return rightPad((t+1).toString(),o)+e}),s=0,u=0;u<i.length;u++)s=Math.max(i[u].length,s);var l=i.slice(0,r-1),c=i.slice(r-1,r),d=i.slice(r);console.log(l.join(\"\\n\")),console.log(t.split(\"\\n\")[0]),console.log(\"%c \"+rightPad(c[0],s),\"border:1px solid red; background-color:#e3d2d2; color:#a61717\"),console.log(d.join(\"\\n\"))}function createProgram(e){return throwIfNull(e,function(){return e.createProgram()},\"Unable to create WebGLProgram.\")}function linkProgram(e,t){if(callAndCheck(e,function(){return e.linkProgram(t)}),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Failed to link vertex and fragment shaders.\")}function validateProgram(e,t){if(callAndCheck(e,function(){return e.validateProgram(t)}),!1===e.getProgramParameter(t,e.VALIDATE_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error(\"Shader program validation failed.\")}function createStaticVertexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function createStaticIndexBuffer(e,t){var n=throwIfNull(e,function(){return e.createBuffer()},\"Unable to create WebGLBuffer\");return callAndCheck(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)}),callAndCheck(e,function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)}),n}function queryMaxTextureSize(e){return null!=MAX_TEXTURE_SIZE?MAX_TEXTURE_SIZE:MAX_TEXTURE_SIZE=callAndCheck(e,function(){return e.getParameter(e.MAX_TEXTURE_SIZE)})}function getNumChannels(){return 2===ENV.get(\"WEBGL_VERSION\")?1:4}function createTexture(e){return throwIfNull(e,function(){return e.createTexture()},\"Unable to create WebGLTexture.\")}function validateTextureSize(e,t,n){var r=queryMaxTextureSize(e);if(t<=0||n<=0){var a=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+a+\" is invalid.\")}if(t>r||n>r){a=\"[\"+t+\"x\"+n+\"]\";throw new Error(\"Requested texture size \"+a+\" greater than WebGL maximum on this browser / GPU \"+(\"[\"+r+\"x\"+r+\"]\")+\".\")}}function createFramebuffer(e){return throwIfNull(e,function(){return e.createFramebuffer()},\"Unable to create WebGLFramebuffer.\")}function bindVertexBufferToProgramAttribute(e,t,n,r,a,o,i){var s=e.getAttribLocation(t,n);return-1!==s&&(callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,r)}),callAndCheck(e,function(){return e.vertexAttribPointer(s,a,e.FLOAT,!1,o,i)}),callAndCheck(e,function(){return e.enableVertexAttribArray(s)}),!0)}function bindTextureUnit(e,t,n){validateTextureUnit(e,n),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)})}function unbindTextureUnit(e,t){validateTextureUnit(e,t),callAndCheck(e,function(){return e.activeTexture(e.TEXTURE0+t)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function getProgramUniformLocationOrThrow(e,t,n){return throwIfNull(e,function(){return e.getUniformLocation(t,n)},'uniform \"'+n+'\" not present in program.')}function getProgramUniformLocation(e,t,n){return e.getUniformLocation(t,n)}function bindTextureToProgramUniformSampler(e,t,n,r,a){callAndCheck(e,function(){return bindTextureUnit(e,n,a)}),callAndCheck(e,function(){return e.uniform1i(r,a)})}function bindCanvasToFramebuffer(e){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),callAndCheck(e,function(){return e.viewport(0,0,e.canvas.width,e.canvas.height)}),callAndCheck(e,function(){return e.scissor(0,0,e.canvas.width,e.canvas.height)})}function bindColorTextureToFramebuffer(e,t,n){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,n)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0)})}function unbindColorTextureFromFramebuffer(e,t){callAndCheck(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,t)}),callAndCheck(e,function(){return e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0)})}function validateFramebuffer(e){var t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error(\"Error binding framebuffer: \"+getFramebufferErrorMessage(e,t))}function getFramebufferErrorMessage(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\";case e.FRAMEBUFFER_UNSUPPORTED:return\"FRAMEBUFFER_UNSUPPORTED\";default:return\"unknown error \"+t}}function throwIfNull(e,t,n){var r=callAndCheck(e,function(){return t()});if(null==r)throw new Error(n);return r}function validateTextureUnit(e,t){var n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n)throw new Error(\"textureUnit must be in \"+(\"[gl.TEXTURE0, gl.TEXTURE\"+n+\"]\")+\".\")}function getTextureShapeFromLogicalShape(e,t){2!==t.length&&(t=squeezeShape(t).newShape);var n=queryMaxTextureSize(e),r=sizeFromShape(t);return t.length<=1&&r<=n?[r,1]:2===t.length&&t[0]<=n&&t[1]<=n?t:3===t.length&&t[0]<=n&&t[1]*t[2]<=n?[t[0],t[1]*t[2]]:4===t.length&&t[0]<=n&&t[1]*t[2]*t[3]<=n?[t[0],t[1]*t[2]*t[3]]:sizeToSquarishShape(r)}var webgl_util=Object.freeze({createWebGLRenderingContext:createWebGLRenderingContext,createWebGLRenderingContextFromCanvas:createWebGLRenderingContextFromCanvas,callAndCheck:callAndCheck,enableDebugWebGLErrorChecking:enableDebugWebGLErrorChecking,checkWebGLError:checkWebGLError,getWebGLErrorMessage:getWebGLErrorMessage,getExtensionOrThrow:getExtensionOrThrow,createVertexShader:createVertexShader,createFragmentShader:createFragmentShader,createProgram:createProgram,linkProgram:linkProgram,validateProgram:validateProgram,createStaticVertexBuffer:createStaticVertexBuffer,createStaticIndexBuffer:createStaticIndexBuffer,queryMaxTextureSize:queryMaxTextureSize,getNumChannels:getNumChannels,createTexture:createTexture,validateTextureSize:validateTextureSize,createFramebuffer:createFramebuffer,bindVertexBufferToProgramAttribute:bindVertexBufferToProgramAttribute,bindTextureUnit:bindTextureUnit,unbindTextureUnit:unbindTextureUnit,getProgramUniformLocationOrThrow:getProgramUniformLocationOrThrow,getProgramUniformLocation:getProgramUniformLocation,bindTextureToProgramUniformSampler:bindTextureToProgramUniformSampler,bindCanvasToFramebuffer:bindCanvasToFramebuffer,bindColorTextureToFramebuffer:bindColorTextureToFramebuffer,unbindColorTextureFromFramebuffer:unbindColorTextureFromFramebuffer,validateFramebuffer:validateFramebuffer,getFramebufferErrorMessage:getFramebufferErrorMessage,getTextureShapeFromLogicalShape:getTextureShapeFromLogicalShape});function getWebGLContextAttributes(){return{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0}}function createWebGLContext(e){var t,n=getWebGLContextAttributes();return callAndCheck(t=null!=e?createWebGLRenderingContextFromCanvas(e,n):createWebGLRenderingContext(n),function(){return t.disable(t.DEPTH_TEST)}),callAndCheck(t,function(){return t.disable(t.STENCIL_TEST)}),callAndCheck(t,function(){return t.disable(t.BLEND)}),callAndCheck(t,function(){return t.disable(t.DITHER)}),callAndCheck(t,function(){return t.disable(t.POLYGON_OFFSET_FILL)}),callAndCheck(t,function(){return t.disable(t.SAMPLE_COVERAGE)}),callAndCheck(t,function(){return t.enable(t.SCISSOR_TEST)}),callAndCheck(t,function(){return t.enable(t.CULL_FACE)}),callAndCheck(t,function(){return t.cullFace(t.BACK)}),t}function createVertexShader$1(e){return createVertexShader(e,\"\\n    precision highp float;\\n    attribute vec3 clipSpacePos;\\n    attribute vec2 uv;\\n    varying vec2 resultUV;\\n\\n    void main() {\\n      gl_Position = vec4(clipSpacePos, 1);\\n      resultUV = uv;\\n    }\")}function createVertexBuffer(e){return createStaticVertexBuffer(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function createIndexBuffer(e){return createStaticIndexBuffer(e,new Uint16Array([0,1,2,2,1,3]))}function getTextureConfig(e,t){var n,r,a,o,i,s,u,l=e;return 2===ENV.get(\"WEBGL_VERSION\")?(n=l.R32F,r=l.R16F,a=l.RGBA32F,o=l.RED,i=4,s=1,u=l.HALF_FLOAT):(n=e.RGBA,r=e.RGBA,a=l.RGBA,o=e.RGBA,i=4,s=4,u=null!=t?t.HALF_FLOAT_OES:null),{internalFormatFloat:n,internalFormatHalfFloat:r,internalFormatPackedFloat:a,textureFormatFloat:o,downloadTextureFormat:e.RGBA,downloadUnpackNumChannels:i,defaultNumChannels:s,textureTypeHalfFloat:u}}function createAndConfigureTexture(e,t,n,r,a,o){validateTextureSize(e,t,n);var i=createTexture(e),s=e.TEXTURE_2D;return callAndCheck(e,function(){return e.bindTexture(s,i)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)}),callAndCheck(e,function(){return e.texImage2D(s,0,r,t,n,0,a,o,null)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)}),i}function createFloat32MatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatFloat,r.textureFormatFloat,e.FLOAT)}function createFloat16MatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatFloat,r.textureFormatFloat,r.textureTypeHalfFloat)}function createUnsignedBytesMatrixTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],e.RGBA,e.RGBA,e.UNSIGNED_BYTE)}function createPackedMatrixTexture(e,t,n,r){var a=getPackedMatrixTextureShapeWidthHeight(t,n);return createAndConfigureTexture(e,a[0],a[1],r.internalFormatPackedFloat,e.RGBA,e.FLOAT)}function bindVertexProgramAttributeStreams(e,t,n){return callAndCheck(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,n)}),bindVertexBufferToProgramAttribute(e,t,\"clipSpacePos\",n,3,20,0)&&bindVertexBufferToProgramAttribute(e,t,\"uv\",n,2,20,12)}function uploadPixelDataToTexture(e,t,n){callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadDataToTexture(e,t,n,r,a,o){validateTextureSize(e,n,r),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,t)}),callAndCheck(e,function(){return e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,r,o,e.FLOAT,a)}),callAndCheck(e,function(){return e.bindTexture(e.TEXTURE_2D,null)})}function uploadMatrixToTexture(e,t,n,r,a,o,i){var s,u=getUnpackedMatrixTextureShapeWidthHeight(n,r),l=u[0],c=u[1];1===i.defaultNumChannels?s=a:encodeMatrixToUnpackedArray(a,s=new Float32Array(getUnpackedArraySizeFromMatrixSize(a.length,o)),o),uploadDataToTexture(e,t,l,c,s,i.textureFormatFloat)}function uploadMatrixToPackedTexture(e,t,n,r,a,o){var i=getPackedMatrixTextureShapeWidthHeight(n,r),s=i[0],u=i[1],l=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(n,r));encodeMatrixToPackedRGBA(a,n,r,l),uploadDataToTexture(e,t,s,u,l,e.RGBA)}function downloadMatrixFromOutputTextureAsync(e,t,n,r,a){return __awaiter(this,void 0,void 0,function(){var o,i,s,u,l;return __generator(this,function(c){switch(c.label){case 0:return o=e,i=new Float32Array(getUnpackedArraySizeFromMatrixSize(n*r,a.downloadUnpackNumChannels)),s=i instanceof Float32Array?4*i.length:i,u=e.createBuffer(),callAndCheck(e,function(){return e.bindBuffer(o.PIXEL_PACK_BUFFER,u)}),callAndCheck(e,function(){return e.bufferData(o.PIXEL_PACK_BUFFER,s,e.STATIC_DRAW)}),callAndCheck(e,function(){return o.readPixels(0,0,r,n,e.RGBA,e.FLOAT,0)}),[4,t.getBufferSubDataAsync(o.PIXEL_PACK_BUFFER,0,i)];case 1:return c.sent(),l=new Float32Array(n*r),decodeMatrixFromUnpackedArray(i,l,a.downloadUnpackNumChannels),[2,l]}})})}function downloadFloat32MatrixFromOutputTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Float32Array(getUnpackedArraySizeFromMatrixSize(t*n,r.downloadUnpackNumChannels));callAndCheck(e,function(){return e.readPixels(0,0,o,i,r.downloadTextureFormat,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromUnpackedArray(s,u,r.downloadUnpackNumChannels),u}function downloadByteEncodedFloatMatrixFromOutputTexture(e,t,n,r){var a=getUnpackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Uint8Array(getUnpackedArraySizeFromMatrixSize(t*n,4));return callAndCheck(e,function(){return e.readPixels(0,0,o,i,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)}),new Float32Array(s.buffer)}function downloadMatrixFromPackedOutputTexture(e,t,n,r){var a=getPackedMatrixTextureShapeWidthHeight(t,n),o=a[0],i=a[1],s=new Float32Array(getPackedRGBAArraySizeFromMatrixShape(t,n));callAndCheck(e,function(){return e.readPixels(0,0,o,i,e.RGBA,e.FLOAT,s)});var u=new Float32Array(t*n);return decodeMatrixFromPackedRGBA(s,t,n,u)}var gpgpu_util=Object.freeze({getWebGLContextAttributes:getWebGLContextAttributes,createWebGLContext:createWebGLContext,createVertexShader:createVertexShader$1,createVertexBuffer:createVertexBuffer,createIndexBuffer:createIndexBuffer,getTextureConfig:getTextureConfig,createFloat32MatrixTexture:createFloat32MatrixTexture,createFloat16MatrixTexture:createFloat16MatrixTexture,createUnsignedBytesMatrixTexture:createUnsignedBytesMatrixTexture,createPackedMatrixTexture:createPackedMatrixTexture,bindVertexProgramAttributeStreams:bindVertexProgramAttributeStreams,uploadPixelDataToTexture:uploadPixelDataToTexture,uploadMatrixToTexture:uploadMatrixToTexture,uploadMatrixToPackedTexture:uploadMatrixToPackedTexture,downloadMatrixFromOutputTextureAsync:downloadMatrixFromOutputTextureAsync,downloadFloat32MatrixFromOutputTexture:downloadFloat32MatrixFromOutputTexture,downloadByteEncodedFloatMatrixFromOutputTexture:downloadByteEncodedFloatMatrixFromOutputTexture,downloadMatrixFromPackedOutputTexture:downloadMatrixFromPackedOutputTexture}),GPGPUContext=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.autoDebugValidate=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[],this.gl=null!=e?e:createWebGLContext(),1===ENV.get(\"WEBGL_VERSION\")?(this.textureFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_float\"),this.colorBufferFloatExtension=this.gl.getExtension(\"WEBGL_color_buffer_float\"),ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")||(this.textureHalfFloatExtension=getExtensionOrThrow(this.gl,\"OES_texture_half_float\"),this.colorBufferHalfFloatExtension=this.gl.getExtension(\"EXT_color_buffer_half_float\"))):this.colorBufferFloatExtension=getExtensionOrThrow(this.gl,\"EXT_color_buffer_float\"),this.loseContextExtension=getExtensionOrThrow(this.gl,\"WEBGL_lose_context\"),ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\")&&(this.getBufferSubDataAsyncExtension=this.gl.getExtension(\"WEBGL_get_buffer_sub_data_async\")),this.vertexBuffer=createVertexBuffer(this.gl),this.indexBuffer=createIndexBuffer(this.gl),this.framebuffer=createFramebuffer(this.gl),this.textureConfig=getTextureConfig(this.gl,this.textureHalfFloatExtension)}return e.prototype.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&console.warn(\"Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing.\"),null!=this.outputTexture&&console.warn(\"Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.\");var t=this.gl;callAndCheck(t,function(){return t.finish()}),callAndCheck(t,function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)}),callAndCheck(t,function(){return t.deleteFramebuffer(e.framebuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.vertexBuffer)}),callAndCheck(t,function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)}),callAndCheck(t,function(){return t.deleteBuffer(e.indexBuffer)}),this.loseContextExtension.loseContext(),this.disposed=!0}},e.prototype.enableAutomaticDebugValidation=function(e){this.autoDebugValidate=e,enableDebugWebGLErrorChecking(e)},e.prototype.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat32MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),createFloat16MatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),createUnsignedBytesMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),uploadPixelDataToTexture(this.gl,e,t)},e.prototype.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),createPackedMatrixTexture(this.gl,e,t,this.textureConfig)},e.prototype.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(unbindColorTextureFromFramebuffer(this.gl,this.framebuffer),this.outputTexture=null),callAndCheck(this.gl,function(){return t.gl.deleteTexture(e)})},e.prototype.uploadMatrixToTexture=function(e,t,n,r){this.throwIfDisposed();var a=getNumChannels();return uploadMatrixToTexture(this.gl,e,t,n,r,a,this.textureConfig)},e.prototype.uploadMatrixToPackedTexture=function(e,t,n,r){return this.throwIfDisposed(),uploadMatrixToPackedTexture(this.gl,e,t,n,r,this.textureConfig)},e.prototype.downloadFloat32MatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadFloat32MatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadByteEncodedFloatMatrixFromOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.downloadMatrixFromTextureAsync=function(e,t,n){return __awaiter(this,void 0,void 0,function(){var r=this;return __generator(this,function(a){if(null==this.getBufferSubDataAsyncExtension)throw new Error(\"Cannot download matrix from output texture asynchronously, WEBGL_get_buffer_sub_data_async is not enabled.\");return[2,this.downloadMatrixDriverAsync(e,function(){return downloadMatrixFromOutputTextureAsync(r.gl,r.getBufferSubDataAsyncExtension,t,n,r.textureConfig)})]})})},e.prototype.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,function(){return downloadMatrixFromPackedOutputTexture(r.gl,t,n,r.textureConfig)})},e.prototype.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=createFragmentShader(t,e),r=createVertexShader$1(t),a=createProgram(t);return callAndCheck(t,function(){return t.attachShader(a,r)}),callAndCheck(t,function(){return t.attachShader(a,n)}),linkProgram(t,a),this.autoDebugValidate&&validateProgram(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=bindVertexProgramAttributeStreams(t,this.program,this.vertexBuffer)),a},e.prototype.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&callAndCheck(this.gl,function(){return t.gl.deleteProgram(e)})},e.prototype.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.autoDebugValidate&&validateProgram(this.gl,this.program),callAndCheck(this.gl,function(){return t.gl.useProgram(e)})},e.prototype.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?getProgramUniformLocationOrThrow(this.gl,e,t):getProgramUniformLocation(this.gl,e,t)},e.prototype.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),callAndCheck(this.gl,function(){return n.gl.getAttribLocation(e,t)})},e.prototype.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},e.prototype.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),bindTextureToProgramUniformSampler(this.gl,this.program,e,t,n)},e.prototype.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},e.prototype.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=getPackedMatrixTextureShapeWidthHeight(t,n),a=r[0],o=r[1];this.setOutputMatrixTextureDriver(e,a,o)},e.prototype.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},e.prototype.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error(\"setOutputPackedMatrixWriteRegion not implemented.\")},e.prototype.debugValidate=function(){null!=this.program&&validateProgram(this.gl,this.program),validateFramebuffer(this.gl)},e.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.autoDebugValidate&&this.debugValidate(),callAndCheck(e,function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)})},e.prototype.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return e.gl.finish()})},e.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=getExtensionOrThrow(this.gl,2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?\"EXT_disjoint_timer_query_webgl2\":\"EXT_disjoint_timer_query\")),this.disjointQueryTimerExtension},e.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},e.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},e.prototype.runQuery=function(e){var t=this.beginQuery();return e(),this.endQuery(),this.pollQueryTime(t)},e.prototype.beginQuery=function(){if(2===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},e.prototype.endQuery=function(){if(2!==ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},e.prototype.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}a=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(e,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint},e.prototype.pollQueryTime=function(e){var t=this;return new Promise(function(n){var r=ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\");t.addItemToPoll(function(){return t.isQueryAvailable(e,r)},function(){return n(t.getQueryTime(e,r))})})},e.prototype.pollItems=function(){for(var e=binSearchLastTrue(this.itemsToPoll.map(function(e){return e.isDoneFn})),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},e.prototype.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||repeatedTry(function(){return n.pollItems(),0===n.itemsToPoll.length})},e.prototype.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},e.prototype.downloadMatrixDriverSetup=function(e){this.throwIfDisposed(),bindColorTextureToFramebuffer(this.gl,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)},e.prototype.downloadMatrixDriverTeardown=function(){null!=this.outputTexture?(bindColorTextureToFramebuffer(this.gl,this.outputTexture,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(this.gl)):unbindColorTextureFromFramebuffer(this.gl,this.framebuffer)},e.prototype.downloadMatrixDriver=function(e,t){this.downloadMatrixDriverSetup(e);var n=t();return this.downloadMatrixDriverTeardown(),n},e.prototype.downloadMatrixDriverAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var n;return __generator(this,function(r){switch(r.label){case 0:return this.downloadMatrixDriverSetup(e),[4,t()];case 1:return n=r.sent(),this.downloadMatrixDriverTeardown(),[2,n]}})})},e.prototype.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;bindColorTextureToFramebuffer(r,e,this.framebuffer),this.autoDebugValidate&&validateFramebuffer(r),this.outputTexture=e,callAndCheck(r,function(){return r.viewport(0,0,t,n)}),callAndCheck(r,function(){return r.scissor(0,0,t,n)})},e.prototype.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),callAndCheck(this.gl,function(){return a.gl.scissor(e,t,n,r)})},e.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error(\"Attempted to use disposed GPGPUContext.\")},e.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error(\"No GPU program is currently set.\")},e}();function binSearchLastTrue(e){for(var t=0,n=e.length-1,r=-1;t<=n;){var a=t+n>>1;e[a]()?(r=a,t=a+1):n=a-1}return r}function compileProgram(e,t,n,r){for(var a=t.userCode,o=n.map(function(e,n){var r={logicalShape:e.tensor.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform};return{name:t.variableNames[n],shapeInfo:r}}),i=o.map(function(e){return e.shapeInfo}),s={logicalShape:r.tensor.shape,texShape:r.texData.texShape,isUniform:!1},u=makeShader(o,s,a,!0===t.supportsBroadcasting),l=e.createProgram(u),c={},d=0;d<t.variableNames.length;d++){var p=t.variableNames[d];c[p]=e.getUniformLocation(l,p,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:c,gpgpu:e,inShapeInfos:i,outShapeInfo:s}}function validateBinaryAndProgram(e,t){if(e.length!==t.length)throw Error(\"Binary was compiled with \"+e.length+\" inputs, but was executed with \"+t.length+\" inputs\");e.forEach(function(e,n){var r=e.logicalShape,a=t[n],o=a.tensor.shape;if(!arraysEqual(r,o))throw Error(\"Binary was compiled with different shapes than the current args. Shapes \"+r+\" and \"+o+\" must match\");if(!e.isUniform||!a.isUniform){var i=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!arraysEqual(i,s))throw Error(\"Binary was compiled with different texture shapes than the current args. Shape \"+i+\" and \"+s+\" must match\")}})}function runProgram(e,t,n,r){validateBinaryAndProgram(e.inShapeInfos,t),validateBinaryAndProgram([e.outShapeInfo],[n]);var a=n.texData.texture,o=n.texData.texShape,i=e.gpgpu;i.setOutputMatrixTexture(a,o[0],o[1]),i.setProgram(e.webGLProgram),t.forEach(function(t,n){var r=e.program.variableNames[n],a=e.uniformLocations[r];if(null!=a){if(t.isUniform){if(1===t.tensor.size)i.gl.uniform1f(a,t.tensor.dataSync()[0]);else{var o=t.tensor.dataSync();o instanceof Float32Array||(o=new Float32Array(o)),i.gl.uniform1fv(a,o)}return}var s=t.texData.texture;i.setInputMatrixTexture(s,a,n)}}),null!=r&&r(i,e.webGLProgram),i.executeProgram()}function makeShaderKey(e,t,n){var r=\"\";t.concat(n).forEach(function(e){r+=e.tensor.shape+\"_\"+(e.isUniform?\"uniform\":e.texData.texShape)});var a=e.userCode,o=(!0===e.supportsBroadcasting).toString(),i=e.constructor.name;return i+=\"_\"+o+\"_\"+r+\"_\"+a}var WhereProgram=function(){return function(e,t,n){var r,a;if(this.variableNames=[\"c\",\"a\",\"b\"],this.outputShape=t,n>4)throw Error(\"Where for rank \"+n+\" is not yet supported\");if(1===n)a=\"resRC\",r=\"resRC\";else{for(var o=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\"],i=[],s=[],u=0;u<t.length;u++)s.push(\"\"+o[u]),u<e&&i.push(\"\"+o[u]);r=i.join(),a=s.join()}var l=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+l+\" resRC = getOutputCoords();\\n        float cVal = getC(\"+r+\");\\n        if (cVal >= 1.0) {\\n          setOutput(getA(\"+a+\"));\\n        } else {\\n          setOutput(getB(\"+a+\"));\\n        }\\n      }\\n    \"}}(),LRNProgram=function(){return function(e,t,n,r,a){this.variableNames=[\"x\"],this.outputShape=[];var o,i=t,s=e[3]-1;this.outputShape=e;var u=\"float(\"+n+\") + float(\"+r+\") * sum\";o=.5===a?\"inversesqrt(\"+u+\")\":1===a?\"1.0/(\"+u+\")\":\"exp(log(\"+u+\") * float(-\"+a+\"));\",this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int r = coords[1];\\n        int c = coords[2];\\n        int d = coords[3];\\n        float x = getX(b, r, c, d);\\n        float sum = 0.0;\\n        for (int j = -\"+i+\"; j <= \"+i+\"; j++) {\\n          int idx = d + j;\\n          if (idx >= 0 && idx <=  \"+s+\") {\\n            float z = getX(b, r, c, idx);\\n            sum += z * z;\\n          }\\n        }\\n        float val = x * \"+o+\";\\n        setOutput(val);\\n      }\\n    \"}}(),MaxPool2DBackpropProgram=function(){return function(e){this.variableNames=[\"dy\",\"maxPos\"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,s=t*n-1;this.userCode=\"\\n      const ivec2 pads = ivec2(\"+o+\", \"+i+\");\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 dyRCCorner = coords.yz - pads;\\n        int dyRCorner = dyRCCorner.x;\\n        int dyCCorner = dyRCCorner.y;\\n\\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\\n        // ? = to be determined. : = across all values in that axis.\\n        float dotProd = 0.0;\\n        for (int wR = 0; wR < \"+t+\"; wR++) {\\n          float dyR = float(dyRCorner + wR) / \"+r+\".0;\\n\\n          if (dyR < 0.0 || dyR >= \"+e.outHeight+\".0 || fract(dyR) > 0.0) {\\n            continue;\\n          }\\n          int idyR = int(dyR);\\n\\n          for (int wC = 0; wC < \"+n+\"; wC++) {\\n            float dyC = float(dyCCorner + wC) / \"+a+\".0;\\n\\n            if (dyC < 0.0 || dyC >= \"+e.outWidth+\".0 ||\\n                fract(dyC) > 0.0) {\\n              continue;\\n            }\\n            int idyC = int(dyC);\\n\\n            float dyValue = getDy(b, idyR, idyC, d);\\n            int maxPosValue = \"+s+\" - int(getMaxPos(b, idyR, idyC, d));\\n\\n            // Get the current value, check it against the value from the\\n            // position matrix.\\n            int curPosValue = wR * \"+n+\" + wC;\\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\\n\\n            dotProd += dyValue * mask;\\n          }\\n        }\\n        setOutput(dotProd);\\n      }\\n    \"}}(),MatMulProgram=function(){return function(e,t,n,r){void 0===n&&(n=!1),void 0===r&&(r=!1),this.variableNames=[\"matrixA\",\"matrixB\"];var a=n?e[1]:e[0],o=r?t[0]:t[1],i=n?e[0]:e[1];this.outputShape=[a,o];var s=function(e,t){return n?t+\" + \"+e+\", aRow\":\"aRow, \"+t+\" + \"+e},u=function(e,t){return r?\"bCol, \"+t+\" + \"+e:t+\" + \"+e+\", bCol\"},l=4*Math.floor(i/4),c=i%4;this.userCode=\" float dotARowBCol(int aRow, int bCol) {\\n      float result = 0.0;\\n      for (int i = 0; i < \"+l+\"; i += 4) {\\n        vec4 a = vec4(\\n          getMatrixA(\"+s(0,\"i\")+\"),\\n          getMatrixA(\"+s(1,\"i\")+\"),\\n          getMatrixA(\"+s(2,\"i\")+\"),\\n          getMatrixA(\"+s(3,\"i\")+\")\\n        );\\n        vec4 b = vec4(\\n          getMatrixB(\"+u(0,\"i\")+\"),\\n          getMatrixB(\"+u(1,\"i\")+\"),\\n          getMatrixB(\"+u(2,\"i\")+\"),\\n          getMatrixB(\"+u(3,\"i\")+\")\\n        );\\n\\n        result += dot(a, b);\\n      }\\n\\n      if (\"+(1===c)+\") {\\n        result += getMatrixA(\"+s(0,l)+\") *\\n          getMatrixB(\"+u(0,l)+\");\\n      } else if (\"+(2===c)+\") {\\n        vec2 a = vec2(\\n          getMatrixA(\"+s(0,l)+\"),\\n          getMatrixA(\"+s(1,l)+\")\\n        );\\n        vec2 b = vec2(\\n          getMatrixB(\"+u(0,l)+\"),\\n          getMatrixB(\"+u(1,l)+\")\\n        );\\n        result += dot(a, b);\\n      } else if (\"+(3===c)+\") {\\n        vec3 a = vec3(\\n          getMatrixA(\"+s(0,l)+\"),\\n          getMatrixA(\"+s(1,l)+\"),\\n          getMatrixA(\"+s(2,l)+\")\\n        );\\n        vec3 b = vec3(\\n          getMatrixB(\"+u(0,l)+\"),\\n          getMatrixB(\"+u(1,l)+\"),\\n          getMatrixB(\"+u(2,l)+\")\\n        );\\n        result += dot(a, b);\\n      }\\n\\n      return result;\\n    }\\n\\n    void main() {\\n      ivec2 resRC = getOutputCoords();\\n      setOutput(dotARowBCol(resRC.x, resRC.y));\\n    }\\n    \"}}(),MultinomialProgram=function(){function e(e,t,n){this.variableNames=[\"probs\"],this.outputShape=[e,n],this.userCode=\"\\n      uniform float seed;\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n\\n        float r = random(seed);\\n        float cdf = 0.0;\\n\\n        for (int i = 0; i < \"+(t-1)+\"; i++) {\\n          cdf += getProbs(batch, i);\\n\\n          if (r < cdf) {\\n            setOutput(float(i));\\n            return;\\n          }\\n        }\\n\\n        // If no other event happened, last event happened.\\n        setOutput(float(\"+(t-1)+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,\"seed\")),n.gl.uniform1f(t.seedLoc,e)}},e}(),OneHotProgram=function(){return function(e,t,n,r){this.variableNames=[\"indices\"],this.outputShape=[e,t],this.userCode=\"\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int index = round(getIndices(coords.x));\\n        setOutput(mix(float(\"+r+\"), float(\"+n+\"),\\n                      float(index == coords.y)));\\n      }\\n    \"}}(),PadProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=t.map(function(t,n){return t[0]+e[n]+t[1]});var r=e.length,a=getCoordsDataType(r),o=t.map(function(e){return e[0]}).join(\",\"),i=t.map(function(t,n){return t[0]+e[n]}).join(\",\"),s=[\"coords[0]\",\"coords[1]\",\"coords[2]\",\"coords[3]\"].slice(0,r);this.userCode=1!==r?\"\\n      \"+a+\" start = \"+a+\"(\"+o+\");\\n      \"+a+\" end = \"+a+\"(\"+i+\");\\n\\n      void main() {\\n        \"+a+\" outC = getOutputCoords();\\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\\n          setOutput(float(\"+n+\"));\\n        } else {\\n          \"+a+\" coords = outC - start;\\n          setOutput(getX(\"+s+\"));\\n        }\\n      }\\n    \":\"\\n        int start = \"+o+\";\\n        int end = \"+i+\";\\n\\n        void main() {\\n          int outC = getOutputCoords();\\n          if (outC < start || outC >= end) {\\n            setOutput(float(\"+n+\"));\\n          } else {\\n            setOutput(getX(outC - start));\\n          }\\n        }\\n      \"}}(),Pool2DProgram=function(){return function(e,t,n){if(this.variableNames=[\"x\"],\"avg\"===t&&n)throw new Error(\"Cannot compute positions for average pool.\");var r=e.filterHeight,a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,s=e.padInfo.top,u=e.padInfo.left;this.outputShape=e.outShape;var l=\"avg\"===t,c=\"0.0\";if(l||(c=\"-1.0 / 0.0\"),n)this.userCode=\"\\n        const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n        const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n\\n        void main() {\\n          ivec4 coords = getOutputCoords();\\n          int batch = coords[0];\\n          int d = coords[3];\\n\\n          ivec2 xRCCorner = coords.yz * strides - pads;\\n          int xRCorner = xRCCorner.x;\\n          int xCCorner = xRCCorner.y;\\n\\n          // max/min x(?, ?, d) to get y(yR, yC, d).\\n          // ? = to be determined\\n          float minMaxValue = 0.0;\\n          float minMaxValueFound = 0.0;\\n          int minMaxPosition = 0;\\n          float avgValue = 0.0;\\n\\n          for (int wR = 0; wR < \"+r+\"; wR++) {\\n            int xR = xRCorner + wR;\\n\\n            if (xR < 0 || xR >= \"+e.inHeight+\") {\\n              continue;\\n            }\\n\\n            for (int wC = 0; wC < \"+a+\"; wC++) {\\n              int xC = xCCorner + wC;\\n\\n              if (xC < 0 || xC >= \"+e.inWidth+\") {\\n                continue;\\n              }\\n\\n              float value = getX(batch, xR, xC, d);\\n\\n              // If a min / max value has already been found, use it. If not,\\n              // use the current value.\\n              float currMinMaxValue = mix(\\n                  value, minMaxValue, minMaxValueFound);\\n              if (value >= currMinMaxValue) {\\n                minMaxValue = value;\\n                minMaxValueFound = 1.0;\\n                minMaxPosition = wR * \"+a+\" + wC;\\n              }\\n            }\\n          }\\n          setOutput(float(minMaxPosition));\\n        }\\n      \";else{var d=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"avg\"===t&&(d=\"avgValue / count\");var p=4*Math.floor(a/4),h=a%4,f=\"\\n      if (\"+l+\") {\\n        avgValue += dot(values, ones);\\n      } else {\\n        minMaxValue = max(values, minMaxValue);\\n      }\\n    \";this.userCode=\"\\n      const ivec2 strides = ivec2(\"+o+\", \"+i+\");\\n      const ivec2 pads = ivec2(\"+s+\", \"+u+\");\\n      const float initializationValue = \"+c+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float count = 0.0;\\n\\n      float getValue(int batch, int xR, int xC, int d) {\\n        if (xC < 0 || xC >= \"+e.inWidth+\") {\\n          return initializationValue;\\n        }\\n        count += 1.0;\\n        return getX(batch, xR, xC, d);\\n      }\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int d = coords[3];\\n\\n        ivec2 xRCCorner = coords.yz * strides - pads;\\n        int xRCorner = xRCCorner.x;\\n        int xCCorner = xRCCorner.y;\\n\\n        // max/min x(?, ?, d) to get y(yR, yC, d).\\n        // ? = to be determined\\n        vec4 minMaxValue = vec4(\"+c+\");\\n        float avgValue = 0.0;\\n        count = 0.0;\\n\\n        for (int wR = 0; wR < \"+r+\"; wR++) {\\n          int xR = xRCorner + wR;\\n\\n          if (xR < 0 || xR >= \"+e.inHeight+\") {\\n            continue;\\n          }\\n\\n          for (int wC = 0; wC < \"+p+\"; wC += 4) {\\n            int xC = xCCorner + wC;\\n\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              getValue(batch, xR, xC + 3, d)\\n            );\\n\\n            \"+f+\"\\n          }\\n\\n          int xC = xCCorner + \"+p+\";\\n          if (\"+(1===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              initializationValue,\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(2===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              initializationValue,\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          } else if (\"+(3===h)+\") {\\n            vec4 values = vec4(\\n              getValue(batch, xR, xC, d),\\n              getValue(batch, xR, xC + 1, d),\\n              getValue(batch, xR, xC + 2, d),\\n              initializationValue\\n            );\\n\\n            \"+f+\"\\n          }\\n        }\\n        setOutput(\"+d+\");\\n      }\\n    \"}}}(),ReduceProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.windowSize,r=e.batchSize,a=e.inSize,o=Math.ceil(a/n);this.outputShape=[r,o];var i=\"0.0\",s=\"\";\"min\"===t?(i=\"1.0 / 0.0\",s=\"min\"):\"max\"===t&&(i=\"-1.0 / 0.0\",s=\"max\");var u=t+\"(\"+t+\"(\"+t+\"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])\";\"sum\"===t?u=\"sumValue\":\"all\"===t&&(u=\"allValue\");var l=4*Math.floor(n/4),c=n%4,d=\"\\n      if (\"+(\"sum\"===t)+\") {\\n        sumValue += dot(values, ones);\\n      } else {\\n        minMaxValue = \"+s+\"(values, minMaxValue);\\n      }\\n    \",p=\"vec4\";\"all\"===t&&(i=\"1.0\",d=\"\\n        bool reducedAllValue = all(values);\\n        float floatedReducedAllValue = float(reducedAllValue);\\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\\n      \",p=\"bvec4\");var h=\"\";a%n>0&&(h=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return initializationValue;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = \"+i+\";\\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+h+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = outIdx * \"+n+\";\\n\\n        vec4 minMaxValue = vec4(\"+i+\");\\n        float sumValue = 0.0;\\n        float allValue = 1.0;\\n\\n        for (int i = 0; i < \"+l+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          \"+d+\"\\n        }\\n\\n        int inIdx = inOffset + \"+l+\";\\n        if (\"+(1===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        } else if (\"+(2===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        } else if (\"+(3===c)+\") {\\n          \"+p+\" values = \"+p+\"(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          \"+d+\"\\n        }\\n        setOutput(\"+u+\");\\n      }\\n    \"}}(),ResizeBilinearBackpropProgram=function(){return function(e,t,n){this.variableNames=[\"dy\"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],o=r[2],i=e.shape,s=i[1],u=i[2],l=[n&&s>1?a-1:a,n&&u>1?o-1:o],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],d=l[0]/c[0],p=l[1]/c[1],h=1/d,f=1/p,g=2*Math.ceil(h)+2,m=2*Math.ceil(f)+2;this.userCode=\"\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        int r = coords[1];\\n        int c = coords[2];\\n\\n        float accumulator = 0.0;\\n\\n        const float heightScale = float(\"+d+\");\\n        const float widthScale = float(\"+p+\");\\n\\n        const float invHeightScale = float(\"+h+\");\\n        const float invWidthScale = float(\"+f+\");\\n\\n        const int winHeight = int(\"+g+\");\\n        const int winWidth = int(\"+m+\");\\n\\n        // Compute bounds for where in dy we will look\\n        float startRLerp = floor(float(r) * invHeightScale);\\n        int startDyR = int(startRLerp - float(winHeight / 2));\\n\\n        float startCLerp = floor(float(c) * invWidthScale);\\n        int startDyC = int(startCLerp - float(winWidth / 2));\\n\\n        // Loop over dy\\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\\n          int dyR = dyROffset + startDyR;\\n\\n          // Guard against the window exceeding the bounds of dy\\n          if (dyR < 0 || dyR >= \"+s+\") {\\n            continue;\\n          }\\n\\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\\n            int dyC = dyCOffset + startDyC;\\n\\n            // Guard against the window exceeding the bounds of dy\\n            if (dyC < 0 || dyC >= \"+u+\") {\\n              continue;\\n            }\\n\\n            float dxR = float(dyR) * heightScale;\\n            int topDxRIndex = int(floor(dxR));\\n            int bottomDxRIndex = int(min(ceil(dxR), \"+(a-1)+\".0));\\n            float dxRLerp = dxR - float(topDxRIndex);\\n            float inverseDxRLerp = 1.0 - dxRLerp;\\n\\n            float dxC = float(dyC) * widthScale;\\n            int leftDxCIndex = int(floor(dxC));\\n            int rightDxCIndex = int(min(ceil(dxC), \"+(o-1)+\".0));\\n            float dxCLerp = dxC - float(leftDxCIndex);\\n            float inverseDxCLerp = 1.0 - dxCLerp;\\n\\n            if (r == topDxRIndex && c == leftDxCIndex) {\\n              // topLeft\\n              accumulator +=\\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == topDxRIndex && c == rightDxCIndex) {\\n              // topRight\\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\\n              // bottomLeft\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\\n            }\\n\\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\\n              // bottomRight\\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\\n            }\\n          }\\n        }\\n        // End loop over dy\\n\\n        setOutput(accumulator);\\n      }\\n    \"}}(),ResizeBilinearProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?o-1:o,r&&n>1?i-1:i],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+o+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the four integer indices.\\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\\n        ivec2 sourceCeilRC = ivec2(\\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\\n\\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\\n\\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\\n\\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\\n        float newValue = top + (bottom - top) * fracRC.x;\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ResizeNearestNeighborProgram=function(){return function(e,t,n,r){this.variableNames=[\"A\"],this.outputShape=[];var a=e[0],o=e[1],i=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=r?[o-1,i-1]:[o,i],l=r?[t-1,n-1]:[t,n],c=r?\"0.5\":\"0.0\";this.userCode=\"\\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\\n          \"+u[0]/l[0]+\",\\n          \"+u[1]/l[1]+\");\\n      const vec2 inputShapeRC = vec2(\"+o+\".0, \"+i+\".0);\\n\\n      void main() {\\n        ivec4 coords = getOutputCoords();\\n        int b = coords[0];\\n        int d = coords[3];\\n        ivec2 yRC = coords.yz;\\n\\n        // Fractional source index.\\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\\n\\n        // Compute the coordinators of nearest neighbor point.\\n        ivec2 sourceNearestRC = ivec2(\\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + \"+c+\")));\\n\\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\\n\\n        setOutput(newValue);\\n      }\\n    \"}}(),ReverseProgram=function(){return function(e,t){this.variableNames=[\"x\"];var n=e.length;if(n>4)throw new Error(\"WebGL backend: Reverse of rank-\"+n+\" tensor is not yet supported\");if(this.outputShape=e,1!==n){var r=e.map(function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+\" - coords[\"+n+\"] - 1\":\"coords[\"+n+\"]\"}(r)}).join(\",\"),a=getCoordsDataType(n);this.userCode=\"\\n      void main() {\\n        \"+a+\" coords = getOutputCoords();\\n        setOutput(getX(\"+r+\"));\\n      }\\n    \"}else this.userCode=\"\\n        void main() {\\n          int coord = getOutputCoords();\\n          setOutput(getX(\"+e[0]+\" - coord - 1));\\n        }\\n      \"}}(),SegmentOpProgram=function(){return function(e,t){this.variableNames=[\"x\",\"segmentIds\"];var n=e.windowSize,r=e.batchSize,a=e.inSize,o=e.numSegments,i=o*Math.ceil(a/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,l=\"\\n        sumValue += dot(values, filter);\\n    \",c=\"\";a%n>0&&(c=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return initializationValue;\\n        }\\n      \");var d=\"\";a%n>0&&(d=\"\\n        if (inIdx < 0 || inIdx >= \"+a+\") {\\n          return -1.0;\\n        }\\n      \"),this.userCode=\"\\n      const float initializationValue = 0.0;\\n\\n      float getValue(int batch, int inIdx) {\\n        \"+c+\"\\n        return getX(batch, inIdx);\\n      }\\n\\n      float getSegmentIdAtIndex(int inIdx) {\\n        \"+d+\"\\n        return getSegmentIds(inIdx);\\n      }\\n\\n      void main() {\\n        ivec2 coords = getOutputCoords();\\n        int batch = coords[0];\\n        int outIdx = coords[1];\\n        int inOffset = int(floor(float(outIdx) / float(\\n          \"+o+\")) * float(\"+n+\"));\\n        int currentSeg = int(mod(float(outIdx), float(\"+o+\")));\\n\\n        float sumValue = 0.0;\\n\\n        for (int i = 0; i < \"+s+\"; i += 4) {\\n          int inIdx = inOffset + i;\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            getValue(batch, inIdx + 3)\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\\n          );\\n\\n          \"+l+\"\\n        }\\n\\n        int inIdx = inOffset + \"+s+\";\\n        if (\"+(1===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            initializationValue,\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            0,\\n            0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(2===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            initializationValue,\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n              0,\\n              0\\n          );\\n\\n          \"+l+\"\\n        } else if (\"+(3===u)+\") {\\n          vec4 values = vec4(\\n            getValue(batch, inIdx),\\n            getValue(batch, inIdx + 1),\\n            getValue(batch, inIdx + 2),\\n            initializationValue\\n          );\\n\\n          vec4 filter = vec4(\\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\\n            0\\n          );\\n\\n          \"+l+\"\\n        }\\n        setOutput(sumValue);\\n      }\\n    \"}}(),SliceProgram=function(){function e(e){this.variableNames=[\"source\"],this.outputShape=e,this.rank=e.length;var t=getCoordsDataType(this.rank),n=getCoords$1(this.rank);this.userCode=\"\\n      uniform \"+t+\" start;\\n\\n      void main() {\\n        \"+t+\" sourceLoc = start + getOutputCoords();\\n        setOutput(getSource(\"+n+\"));\\n      }\\n    \"}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error(\"The rank (\"+this.rank+\") of the program must match the length of start (\"+e.length+\")\");return function(n,r){if(null!=t.startLoc||(t.startLoc=n.getUniformLocationNoThrow(r,\"start\"),null!=t.startLoc))if(1===t.rank)n.gl.uniform1i(t.startLoc,e[0]);else if(2===t.rank)n.gl.uniform2i(t.startLoc,e[0],e[1]);else if(3===t.rank)n.gl.uniform3i(t.startLoc,e[0],e[1],e[2]);else{if(4!==t.rank)throw Error(\"Slicing for rank \"+t.rank+\" is not yet supported\");n.gl.uniform4i(t.startLoc,e[0],e[1],e[2],e[3])}}},e}();function getCoords$1(e){if(1===e)return\"sourceLoc\";if(2===e)return\"sourceLoc.x, sourceLoc.y\";if(3===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z\";if(4===e)return\"sourceLoc.x, sourceLoc.y, sourceLoc.z, sourceLoc.w\";throw Error(\"Slicing for rank \"+e+\" is not yet supported\")}var StridedSliceProgram=function(){return function(e,t,n){this.variableNames=[\"x\"],this.outputShape=n,this.rank=n.length;var r=getCoordsDataType(this.rank),a=\"\";a=1===this.rank?\"coords * strides + begin\":n.map(function(e,t){return\"coords[\"+t+\"] * strides[\"+t+\"] + begin[\"+t+\"]\"}).join(\",\"),this.userCode=\"\\n      \"+r+\" begin = \"+r+\"(\"+e+\");\\n      \"+r+\" strides = \"+r+\"(\"+t+\");\\n\\n      void main() {\\n        \"+r+\" coords = getOutputCoords();\\n        setOutput(getX(\"+a+\"));\\n      }\\n    \"}}(),TextureManager=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return e.prototype.acquireTexture=function(e,t){var n,r=getPhysicalFromLogicalTextureType(t),a=getKeyFromTextureShape(e,r);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}return this.numUsedTextures++,this.log(),r===PhysicalTextureType.FLOAT32?n=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===PhysicalTextureType.FLOAT16?n=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===PhysicalTextureType.UNSIGNED_BYTE&&(n=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(n),n},e.prototype.releaseTexture=function(e,t,n){var r=getKeyFromTextureShape(t,getPhysicalFromLogicalTextureType(n));r in this.freeTextures||(this.freeTextures[r]=[]),this.freeTextures[r].push(e),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[r],o=a.indexOf(e);if(o<0)throw new Error(\"Cannot release a texture that was never provided by this texture manager\");a.splice(o,1),this.log()},e.prototype.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log(\"Free/Used\",this.numFreeTextures+\" / \"+this.numUsedTextures,\"(\"+e+\")\")}},e.prototype.getNumUsedTextures=function(){return this.numUsedTextures},e.prototype.getNumFreeTextures=function(){return this.numFreeTextures},e.prototype.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});for(var t in this.usedTextures)this.usedTextures[t].forEach(function(t){e.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},e}();function getPhysicalFromLogicalTextureType(e){if(e===TextureUsage.DOWNLOAD||e===TextureUsage.PIXELS)return PhysicalTextureType.UNSIGNED_BYTE;if(e===TextureUsage.UPLOAD)return PhysicalTextureType.FLOAT32;if(e===TextureUsage.RENDER)return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?PhysicalTextureType.FLOAT32:PhysicalTextureType.FLOAT16;throw new Error(\"Unknown logical texture type \"+e)}function getKeyFromTextureShape(e,t){return e[0]+\"_\"+e[1]+\"_\"+t}var TileProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[r]*t[r];this.outputShape=n,this.rank=n.length;var a=getCoordsDataType(this.rank),o=getSourceCoords$1(e);this.userCode=\"\\n      void main() {\\n        \"+a+\" resRC = getOutputCoords();\\n        setOutput(getA(\"+o+\"));\\n      }\\n    \"}}();function getSourceCoords$1(e){var t=e.length;if(t>5)throw Error(\"Tile for rank \"+t+\" is not yet supported\");if(1===t)return\"imod(resRC, \"+e[0]+\")\";for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\"],r=[],a=0;a<e.length;a++)r.push(\"imod(\"+n[a]+\", \"+e[a]+\")\");return r.join()}var TransposeProgram=function(){return function(e,t){this.variableNames=[\"A\"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=getCoordsDataType(this.rank),o=getSwitchedCoords(t);this.userCode=\"\\n    void main() {\\n      \"+a+\" resRC = getOutputCoords();\\n      setOutput(getA(\"+o+\"));\\n    }\\n    \"}}();function getSwitchedCoords(e){var t=e.length;if(t>6)throw Error(\"Transpose for rank \"+t+\" is not yet supported\");for(var n=[\"resRC.x\",\"resRC.y\",\"resRC.z\",\"resRC.w\",\"resRC.u\",\"resRC.v\"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}var ERF_P=.3275911,ERF_A1=.254829592,ERF_A2=-.284496736,ERF_A3=1.421413741,ERF_A4=-1.453152027,ERF_A5=1.061405429,UnaryOpProgram=function(){return function(e,t){this.variableNames=[\"A\"],this.outputShape=e,this.userCode=\"\\n      float unaryOperation(float x) {\\n        \"+t+\"\\n      }\\n\\n      void main() {\\n        float x = getAAtOutCoords();\\n        float y = unaryOperation(x);\\n\\n        setOutput(y);\\n      }\\n    \"}}(),CHECK_NAN_SNIPPET$1=\"if (isNaN(x)) return x;\",ABS=\"return abs(x);\",RELU=CHECK_NAN_SNIPPET$1+\"\\n  return (x < 0.0) ? 0.0 : x;\\n\",ELU=\"return (x >= 0.0) ? x : (exp(x) - 1.0);\",SELU=\"\\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\\n  // see: https://arxiv.org/abs/1706.02515\\n  float scaleAlpha = \"+SELU_SCALEALPHA+\";\\n  float scale = \"+SELU_SCALE+\";\\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\\n\";function STEP(e){return void 0===e&&(e=0),CHECK_NAN_SNIPPET$1+\"\\n    return x > 0.0 ? 1.0 : float(\"+e+\");\\n  \"}var NEG=\"return -x;\",CEIL=\"return ceil(x);\",FLOOR=\"return floor(x);\",SIGN=\"\\n  if (isNaN(x)) { return 0.0; }\\n  return sign(x);\\n\",ROUND=\"\\n  // OpenGL ES does not support round function.\\n  // The algorithm is based on banker's rounding.\\n  float base = floor(x);\\n  if ((x - base) < 0.5) {\\n    return floor(x);\\n  } else if ((x - base) > 0.5) {\\n    return ceil(x);\\n  } else {\\n    if (mod(base, 2.0) == 0.0) {\\n      return base;\\n    } else {\\n      return base + 1.0;\\n    }\\n  }\\n\",EXP=\"return exp(x);\",EXPM1=\"return exp(x) - 1.0;\",LOG=\"return log(x);\",LOG1P=\"return log(1.0 + x);\",SQRT=\"return sqrt(x);\",RSQRT=\"return inversesqrt(x);\",SIGMOID=\"return 1.0 / (1.0 + exp(-1.0 * x));\",SOFTPLUS=\"\\n  float epsilon = 1.1920928955078125e-7;\\n  float threshold = log(epsilon) + 2.0;\\n\\n  bool too_large = x > -threshold;\\n  bool too_small = x < threshold;\\n\\n  float result;\\n  float exp_x = exp(x);\\n\\n  if (too_large){\\n    result = x;\\n  }\\n  else if (too_small){\\n    result = exp_x;\\n  }\\n  else{\\n    result = log(exp_x + 1.0);\\n  }\\n  return result;\\n\",SIN=CHECK_NAN_SNIPPET$1+\"\\n  return sin(x);\\n\",COS=CHECK_NAN_SNIPPET$1+\"\\n  return cos(x);\\n\",TAN=\"return tan(x);\",ASIN=\"return asin(x);\",ACOS=\"return acos(x);\",ATAN=CHECK_NAN_SNIPPET$1+\"\\n  return atan(x);\\n\",SINH=\"\\n  float e2x = exp(x);\\n  return (e2x - 1.0 / e2x) / 2.0;\\n\",COSH=\"\\n  float e2x = exp(-x);\\n  return (e2x + 1.0 / e2x) / 2.0;\\n\",TANH=\"\\n  float e2x = exp(-2.0 * abs(x));\\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\\n\",ASINH=\"return log(x + sqrt(x * x + 1.0));\",ACOSH=\"return log(x + sqrt(x * x - 1.0));\",ATANH=\"return (log(1.0 + x) - log(1.0 - x)) / 2.0;\",ERF='\\n  // Error function is calculated approximately with elementary function.\\n  // See \"Handbook of Mathematical Functions with Formulas,\\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\\n  float p = '+ERF_P+\";\\n  float a1 = \"+ERF_A1+\";\\n  float a2 = \"+ERF_A2+\";\\n  float a3 = \"+ERF_A3+\";\\n  float a4 = \"+ERF_A4+\";\\n  float a5 = \"+ERF_A5+\";\\n\\n  float t = 1.0 / (1.0 + p * x);\\n  return 1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x);\\n\",SQUARE=\"return x * x;\",RECIPROCAL=\"return 1.0 / x;\",LOGICAL_NOT=\"return float(!(x >= 1.0));\",TO_INT=\"return float(int(x));\",BEFORE_PAGING_CONSTANT=300,SIZE_UPLOAD_UNIFORM=32,MathBackendWebGL=function(){function e(e,t){if(void 0===t&&(t=!0),this.gpgpu=e,this.delayedStorage=t,this.texData=new WeakMap,this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.lruDataGPU=[],this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.binaryCache={},this.disposed=!1,ENV.get(\"WEBGL_VERSION\")<1)throw new Error(\"WebGL is not supported on this device\");ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\")),null==e?(this.gpgpu=new GPGPUContext(createWebGLContext(this.canvas)),this.gpgpuCreatedLocally=!0):this.gpgpuCreatedLocally=!1,this.NUM_BYTES_BEFORE_PAGING=window.screen.height*window.screen.width*window.devicePixelRatio*BEFORE_PAGING_CONSTANT,this.textureManager=new TextureManager(this.gpgpu)}return e.prototype.register=function(e,t,n){if(this.texData.has(e))throw new Error(\"Data buffer is already registered\");this.texData.set(e,{shape:t,dtype:n,values:null,texture:null,texShape:null,usage:TextureUsage.RENDER})},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"MathBackendWebGL.writePixels(): pixels can not be null\");var n=[e.height,e.width],r=[e.height,e.width,t];if(e instanceof HTMLVideoElement){if(null==this.fromPixelsCanvas){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");if(\"complete\"!==document.readyState)throw new Error(\"The DOM is not ready yet. Please call tf.fromPixels() once the DOM is ready. One way to do that is to add an event listener for `DOMContentLoaded` on the document object\");this.fromPixelsCanvas=document.createElement(\"canvas\")}this.fromPixelsCanvas.width=e.width,this.fromPixelsCanvas.height=e.height,this.fromPixelsCanvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),e=this.fromPixelsCanvas}var a=Tensor.make(n,{},\"int32\");this.texData.get(a.dataId).usage=TextureUsage.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(a.dataId),e);var o=new FromPixelsProgram(r),i=this.compileAndRun(o,[a]);return a.dispose(),i},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendWebGL.write(): values can not be null\");this.throwIfNoData(e);var n=this.texData.get(e),r=n.texture,a=n.texShape,o=n.usage;null!=r&&(this.releaseTexture(e,r,a,o),n.texture=null,n.texShape=null),n.usage=TextureUsage.UPLOAD,n.values=t,this.delayedStorage||this.uploadToGPU(e)},e.prototype.readSync=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.texture,a=t.values,o=t.texShape,i=t.dtype;if(null!=a)return this.cacheOnCPU(e),a;var s,u,l=null!=this.activeTimers;if(l&&(s=performance.now()),ENV.get(\"WEBGL_DOWNLOAD_FLOAT_ENABLED\"))u=this.gpgpu.downloadFloat32MatrixFromOutputTexture(r,o[0],o[1]);else{var c=Tensor.make(n,{});this.texData.get(c.dataId).usage=TextureUsage.DOWNLOAD;var d=Tensor.make(n,{dataId:e},i),p=new EncodeFloatProgram(n),h=this.compileAndRun(p,[d],c),f=this.texData.get(c.dataId);u=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(f.texture,f.texShape[0],f.texShape[1]),h.dispose(),d.dispose(),c.dispose()}return l&&(this.downloadWaitMs+=performance.now()-s),this.cacheOnCPU(e,u),t.values},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i,s,u;return __generator(this,function(l){switch(l.label){case 0:return this.pendingRead.has(e)?(t=this.pendingRead.get(e),[2,new Promise(function(e){return t.push(e)})]):(this.throwIfNoData(e),n=this.texData.get(e),r=n.texture,a=n.values,o=n.texShape,null!=a?(this.cacheOnCPU(e),[2,a]):ENV.get(\"WEBGL_GET_BUFFER_SUB_DATA_ASYNC_EXTENSION_ENABLED\")?[4,this.gpgpu.downloadMatrixFromTextureAsync(r,o[0],o[1])]:[3,2]);case 1:return i=l.sent(),this.cacheOnCPU(e,i),[2,n.values];case 2:return 0===ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")?[2,this.readSync(e)]:(this.pendingRead.set(e,[]),[4,this.gpgpu.runQuery(function(){})]);case 3:return l.sent(),s=this.pendingRead.get(e),this.pendingRead.delete(e),u=this.readSync(e),s.forEach(function(e){return e(u)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)),[2,u]}})})},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i;return __generator(this,function(s){switch(s.label){case 0:return t=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,e(),a=flatten(this.activeTimers),this.activeTimers=t,r&&(this.programTimersStack=null),[4,Promise.all(a).then(function(e){var t=0;return e.forEach(function(e){return t+=e}),t})];case 1:return o=s.sent(),i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:o,wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,i]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?this.gpgpu.beginQuery():{startMs:performance.now(),endMs:null}},e.prototype.endTimer=function(e){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?(this.gpgpu.endQuery(),e):(e.endMs=performance.now(),e)},e.prototype.getQueryTime=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return ENV.get(\"WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION\")>0?[2,this.gpgpu.pollQueryTime(e)]:[2,(t=e).endMs-t.startMs]})})},e.prototype.disposeData=function(e){if(!this.pendingDisposal.has(e))if(this.pendingRead.has(e))this.pendingDisposal.add(e);else if(this.texData.has(e)){var t=this.texData.get(e),n=t.texture,r=t.texShape,a=t.usage;null!=n&&this.releaseTexture(e,n,r,a),this.texData.delete(e)}},e.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.getCanvas=function(){return this.canvas},e.prototype.slice=function(e,t,n){var r=new SliceProgram(n),a=r.getCustomSetupFunc(t);return this.compileAndRun(r,[e],null,a)},e.prototype.stridedSlice=function(e,t,n,r,a,o){var i=getStridedSlicedInfo(e.shape,t,n,r,a,o),s=i[0],u=i[1];if(u.some(function(e){return 0===e}))return tensor([],u);var l=new StridedSliceProgram(s,r,u);return this.compileAndRun(l,[e])},e.prototype.reverse=function(e,t){var n=new ReverseProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.concat=function(e,t){var n=new ConcatProgram(e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.neg=function(e){var t=new UnaryOpProgram(e.shape,NEG);return this.compileAndRun(t,[e])},e.prototype.matMul=function(e,t,n,r){var a=new MatMulProgram(e.shape,t.shape,n,r);return this.compileAndRun(a,[e,t])},e.prototype.multiply=function(e,t){var n=new BinaryOpProgram(MUL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.batchNormalization=function(e,t,n,r,a,o){var i=[e,t,n],s=null;null!=o&&(s=o.shape,i.push(o));var u=null;null!=a&&(u=a.shape,i.push(a));var l=new BatchNormProgram(e.shape,t.shape,n.shape,s,u,r);return this.compileAndRun(l,i)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var o=new LRNProgram(e.shape,t,n,r,a);return this.compileAndRun(o,[e])},e.prototype.tile=function(e,t){var n=new TileProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.pad=function(e,t,n){var r=new PadProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.transpose=function(e,t){var n=new TransposeProgram(e.shape,t);return this.compileAndRun(n,[e])},e.prototype.gather=function(e,t,n){var r=new GatherProgram(e.shape,t.size,n);return this.compileAndRun(r,[e,t])},e.prototype.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],o=computeOptimalWindowSize(a),i=new ReduceProgram({windowSize:o,inSize:a,batchSize:r},t),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],n);return this.compileAndRun(i,[e],c),1===c.shape[1]?c:this.reduce(c,t,n)},e.prototype.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var o=computeOptimalWindowSize(a),i=new ArgMinMaxProgram({windowSize:o,inSize:a,batchSize:r},t,null==n),s=i.outputShape,u=s[0],l=s[1],c=this.makeOutputArray([u,l],\"int32\"),d=[e];return null!=n&&d.push(n),this.compileAndRun(i,d,c),1===c.shape[1]?c:this.argReduce(e,t,c)},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a),i=sumOutType(e.dtype);return this.reduce(o,\"sum\",i).reshape(r)},e.prototype.unsortedSegmentSum=function(e,t,n){var r=0,a=getAxesPermutation([r],e.rank),o=e;null!=a&&(o=e.transpose(a),r=getInnerMostAxes(1,e.rank)[0]);var i=computeOutShape$1(o.shape,r,n),s=sizeFromShape([o.shape[r]]),u=o.as2D(-1,s),l=sumOutType(e.dtype),c=this.segOpCompute(u,\"unsortedSegmentSum\",t,l,n).reshape(i);return null!=a&&(c=c.transpose(getUndoAxesPermutation(a))),c},e.prototype.segOpCompute=function(e,t,n,r,a){var o=e.shape[0],i=e.shape[1],s=segOpComputeOptimalWindowSize(i,a),u=new 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BinaryOpProgram(EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.notEqual=function(e,t){var n=new BinaryOpProgram(NOT_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.less=function(e,t){var n=new BinaryOpProgram(LESS,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.lessEqual=function(e,t){var n=new BinaryOpProgram(LESS_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greater=function(e,t){var n=new BinaryOpProgram(GREATER,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.greaterEqual=function(e,t){var n=new BinaryOpProgram(GREATER_EQUAL,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalNot=function(e){var t=new UnaryOpProgram(e.shape,LOGICAL_NOT);return this.compileAndRun(t,[e])},e.prototype.logicalAnd=function(e,t){var n=new BinaryOpProgram(LOGICAL_AND,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.logicalOr=function(e,t){var n=new BinaryOpProgram(LOGICAL_OR,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"bool\");return this.compileAndRun(n,[e,t],r)},e.prototype.where=function(e,t,n,r){var a=new WhereProgram(e.rank,t.shape,t.rank),o=this.makeOutputArray(a.outputShape,r);return this.compileAndRun(a,[e,t,n],o)},e.prototype.topKValues=function(e,t){throw new Error(\"topKValues GPU not yet implemented!\")},e.prototype.topKIndices=function(e,t){throw new Error(\"topKIndices GPU not yet implemented!\")},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"min\",o.dtype).reshape(r)},e.prototype.minimum=function(e,t){var n=new BinaryOpProgram(MIN,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.mod=function(e,t){var n=new BinaryOpProgram(MOD,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"max\",o.dtype).reshape(r)},e.prototype.maximum=function(e,t){var n=new BinaryOpProgram(MAX,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=sizeFromShape(n[1]),o=e.as2D(-1,a);return this.reduce(o,\"all\",o.dtype).reshape(r)},e.prototype.squaredDifference=function(e,t){var n=new BinaryOpProgram(SQUARED_DIFFERENCE,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.realDivide=function(e,t){var n=new BinaryOpProgram(DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e,t],r)},e.prototype.floorDiv=function(e,t){var n=new BinaryOpProgram(INT_DIV,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,\"int32\");return this.compileAndRun(n,[e,t],r)},e.prototype.add=function(e,t){var n=new BinaryOpProgram(ADD,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.subtract=function(e,t){var n=new BinaryOpProgram(SUB,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.pow=function(e,t){var n=new BinaryOpProgram(POW,e.shape,t.shape),r=this.makeOutputArray(n.outputShape,upcastType(e.dtype,t.dtype));return this.compileAndRun(n,[e,t],r)},e.prototype.ceil=function(e){var t=new UnaryOpProgram(e.shape,CEIL);return this.compileAndRun(t,[e])},e.prototype.floor=function(e){var t=new UnaryOpProgram(e.shape,FLOOR);return this.compileAndRun(t,[e])},e.prototype.sign=function(e){var t=new UnaryOpProgram(e.shape,SIGN);return this.compileAndRun(t,[e])},e.prototype.round=function(e){var t=new UnaryOpProgram(e.shape,ROUND);return this.compileAndRun(t,[e])},e.prototype.exp=function(e){var t=new UnaryOpProgram(e.shape,EXP);return this.compileAndRun(t,[e])},e.prototype.expm1=function(e){var t=new UnaryOpProgram(e.shape,EXPM1);return this.compileAndRun(t,[e])},e.prototype.log=function(e){var t=new UnaryOpProgram(e.shape,LOG);return this.compileAndRun(t,[e])},e.prototype.log1p=function(e){var t=new UnaryOpProgram(e.shape,LOG1P);return this.compileAndRun(t,[e])},e.prototype.sqrt=function(e){var t=new UnaryOpProgram(e.shape,SQRT);return this.compileAndRun(t,[e])},e.prototype.rsqrt=function(e){var t=new UnaryOpProgram(e.shape,RSQRT);return this.compileAndRun(t,[e])},e.prototype.square=function(e){var t=new UnaryOpProgram(e.shape,SQUARE);return this.compileAndRun(t,[e])},e.prototype.reciprocal=function(e){var t=new UnaryOpProgram(e.shape,RECIPROCAL);return this.compileAndRun(t,[e])},e.prototype.relu=function(e){var t=new UnaryOpProgram(e.shape,RELU);return this.compileAndRun(t,[e])},e.prototype.elu=function(e){var t=new UnaryOpProgram(e.shape,ELU);return this.compileAndRun(t,[e])},e.prototype.eluDer=function(e,t){var n=new BinaryOpProgram(ELU_DER,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.selu=function(e){var t=new UnaryOpProgram(e.shape,SELU);return this.compileAndRun(t,[e])},e.prototype.int=function(e){var t=new UnaryOpProgram(e.shape,TO_INT),n=this.makeOutputArray(t.outputShape,\"int32\");return this.compileAndRun(t,[e],n)},e.prototype.clip=function(e,t,n){var r=new ClipProgram(e.shape,t,n);return this.compileAndRun(r,[e])},e.prototype.abs=function(e){var t=new UnaryOpProgram(e.shape,ABS);return this.compileAndRun(t,[e])},e.prototype.sigmoid=function(e){var t=new UnaryOpProgram(e.shape,SIGMOID);return this.compileAndRun(t,[e])},e.prototype.softplus=function(e){var t=new UnaryOpProgram(e.shape,SOFTPLUS);return this.compileAndRun(t,[e])},e.prototype.sin=function(e){var t=new UnaryOpProgram(e.shape,SIN);return this.compileAndRun(t,[e])},e.prototype.cos=function(e){var t=new UnaryOpProgram(e.shape,COS);return this.compileAndRun(t,[e])},e.prototype.tan=function(e){var t=new UnaryOpProgram(e.shape,TAN);return this.compileAndRun(t,[e])},e.prototype.asin=function(e){var t=new UnaryOpProgram(e.shape,ASIN);return this.compileAndRun(t,[e])},e.prototype.acos=function(e){var t=new UnaryOpProgram(e.shape,ACOS);return this.compileAndRun(t,[e])},e.prototype.atan=function(e){var t=new UnaryOpProgram(e.shape,ATAN);return this.compileAndRun(t,[e])},e.prototype.atan2=function(e,t){var n=new BinaryOpProgram(ATAN2,e.shape,t.shape);return this.compileAndRun(n,[e,t])},e.prototype.sinh=function(e){var t=new UnaryOpProgram(e.shape,SINH);return this.compileAndRun(t,[e])},e.prototype.cosh=function(e){var t=new UnaryOpProgram(e.shape,COSH);return this.compileAndRun(t,[e])},e.prototype.tanh=function(e){var t=new UnaryOpProgram(e.shape,TANH);return this.compileAndRun(t,[e])},e.prototype.asinh=function(e){var t=new UnaryOpProgram(e.shape,ASINH);return this.compileAndRun(t,[e])},e.prototype.acosh=function(e){var t=new UnaryOpProgram(e.shape,ACOSH);return this.compileAndRun(t,[e])},e.prototype.atanh=function(e){var t=new UnaryOpProgram(e.shape,ATANH);return this.compileAndRun(t,[e])},e.prototype.erf=function(e){var t=new UnaryOpProgram(e.shape,ERF);return this.compileAndRun(t,[e])},e.prototype.step=function(e,t){var n=new UnaryOpProgram(e.shape,STEP(t));return this.compileAndRun(n,[e])},e.prototype.conv2d=function(e,t,n){var r=new Conv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerInput=function(e,t,n){var r=new Conv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.conv2dDerFilter=function(e,t,n){var r=new Conv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2D=function(e,t,n){var r=new DepthwiseConv2DProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerInput=function(e,t,n){var r=new DepthwiseConv2DDerInputProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){var r=new DepthwiseConv2DDerFilterProgram(n);return this.compileAndRun(r,[e,t])},e.prototype.maxPool=function(e,t){var n=new Pool2DProgram(t,\"max\",!1),r=this.makeOutputArray(n.outputShape,e.dtype);return this.compileAndRun(n,[e],r)},e.prototype.avgPool=function(e,t){var n=new Pool2DProgram(t,\"avg\",!1),r=this.makeOutputArray(n.outputShape,\"float32\");return this.compileAndRun(n,[e],r)},e.prototype.maxPoolBackprop=function(e,t,n,r){var a=new Pool2DProgram(r,\"max\",!0),o=this.compileAndRun(a,[t]),i=new MaxPool2DBackpropProgram(r),s=this.makeOutputArray(i.outputShape,t.dtype),u=this.compileAndRun(i,[e,o],s);return o.dispose(),u},e.prototype.avgPoolBackprop=function(e,t,n){var r=new AvgPool2DBackpropProgram(n),a=this.makeOutputArray(r.outputShape,t.dtype);return this.compileAndRun(r,[e],a)},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.resizeBilinear=function(e,t,n,r){var a=new ResizeBilinearProgram(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.resizeBilinearBackprop=function(e,t,n){var r=new ResizeBilinearBackpropProgram(e,t,n);return this.compileAndRun(r,[e])},e.prototype.resizeNearestNeighbor=function(e,t,n,r){var a=new ResizeNearestNeighborProgram(e.shape,t,n,r);return this.compileAndRun(a,[e])},e.prototype.multinomial=function(e,t,n,r){var a=t?e:softmax(e),o=a.shape[0],i=a.shape[1],s=new MultinomialProgram(o,i,n),u=this.makeOutputArray(s.outputShape,\"int32\"),l=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],u,l)},e.prototype.oneHot=function(e,t,n,r){var a=new OneHotProgram(e.size,t,n,r);return this.compileAndRun(a,[e])},e.prototype.makeOutputArray=function(e,t){return Tensor.make(e,{},t)},e.prototype.compileAndRun=function(e,t,n,r){var a=this;null==n&&(n=this.makeOutputArray(e.outputShape,t[0].dtype));var o=t.map(function(e){var t=a.texData.get(e.dataId);return null==t.texture&&e.size<=SIZE_UPLOAD_UNIFORM?{tensor:e,texData:null,isUniform:!0}:(a.uploadToGPU(e.dataId),{tensor:e,texData:t,isUniform:!1})});this.uploadToGPU(n.dataId);var i,s={tensor:n,texData:this.texData.get(n.dataId),isUniform:!1},u=makeShaderKey(e,o,s),l=this.getAndSaveBinary(u,function(){return compileProgram(a.gpgpu,e,o,s)}),c=null!=this.activeTimers;if(c&&(i=this.startTimer()),runProgram(l,o,s,r),this.numBytesInGPU>this.NUM_BYTES_BEFORE_PAGING)for(var d=this.numBytesInGPU-this.NUM_BYTES_BEFORE_PAGING;d>0;){var p=this.lruDataGPU.shift(),h=this.texData.get(p),f=h.shape,g=h.dtype;d-=this.computeBytes(f,g),this.read(p)}return c&&(i=this.endTimer(i),this.activeTimers.push(this.getQueryTime(i))),n},e.prototype.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},e.prototype.getTextureManager=function(){return this.textureManager},e.prototype.dispose=function(){if(!this.disposed){for(var e in this.binaryCache)this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram);this.textureManager.dispose(),this.canvas.remove(),null!=this.fromPixelsCanvas&&this.fromPixelsCanvas.remove(),this.gpgpuCreatedLocally&&this.gpgpu.dispose(),this.disposed=!0}},e.prototype.throwIfNoData=function(e){if(!this.texData.has(e))throw new Error(\"WebGL backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.uploadToGPU=function(e){this.throwIfNoData(e);var t=this.texData.get(e),n=t.shape,r=t.values,a=t.texture,o=t.dtype,i=t.usage;if(null!=a)return this.lruDataGPU.splice(this.lruDataGPU.indexOf(e),1),void this.lruDataGPU.push(e);var s,u=null!=this.activeTimers;u&&(s=performance.now());var l=getTextureShapeFromLogicalShape(this.gpgpu.gl,n);t.texShape=l;var c=this.acquireTexture(e,l,i);t.texture=c,null!=r&&(this.gpgpu.uploadMatrixToTexture(c,l[0],l[1],typedArrayToFloat32(r,o)),t.values=null,u&&(this.uploadWaitMs+=performance.now()-s))},e.prototype.cacheOnCPU=function(e,t){var n=this.delayedStorage,r=this.texData.get(e),a=r.texture,o=r.texShape,i=r.dtype,s=r.usage;n&&null!=a&&(this.releaseTexture(e,a,o,s),r.texture=null,r.texShape=null),null!=t&&(r.values=float32ToTypedArray(t,i))},e.prototype.releaseTexture=function(e,t,n,r){var a=this.texData.get(e),o=a.shape,i=a.dtype,s=this.lruDataGPU.indexOf(e);s>=0&&this.lruDataGPU.splice(s,1),this.numBytesInGPU-=this.computeBytes(o,i),this.textureManager.releaseTexture(t,n,r)},e.prototype.acquireTexture=function(e,t,n){var r=this.texData.get(e),a=r.shape,o=r.dtype;return this.lruDataGPU.push(e),this.numBytesInGPU+=this.computeBytes(a,o),this.textureManager.acquireTexture(t,n)},e.prototype.computeBytes=function(e,t){return sizeFromShape(e)*bytesPerElement(t)},e}();function float32ToTypedArray(e,t){if(\"float32\"===t)return e;if(\"int32\"===t||\"bool\"===t){for(var n=\"int32\"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error(\"Unknown dtype \"+t)}function typedArrayToFloat32(e,t){return e instanceof Float32Array?e:new Float32Array(e)}ENV.get(\"IS_BROWSER\")&&ENV.registerBackend(\"webgl\",function(){return new MathBackendWebGL},2);var MathBackendCPU=function(){function e(){this.data=new WeakMap,this.firstUse=!0,ENV.get(\"IS_BROWSER\")&&(this.canvas=document.createElement(\"canvas\"))}return e.prototype.register=function(e,t,n){if(this.firstUse&&(this.firstUse=!1,ENV.get(\"IS_NODE\")&&console.warn(\"\\n============================\\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\\n============================\\n\")),this.data.has(e))throw new Error(\"Data buffer is already registered\");this.data.set(e,null)},e.prototype.write=function(e,t){if(null==t)throw new Error(\"MathBackendCPU.write(): values can not be null\");this.throwIfNoData(e),this.data.set(e,t)},e.prototype.fromPixels=function(e,t){if(null==e)throw new Error(\"MathBackendCPU.writePixels(): pixels can not be null\");var n,r;if(e instanceof ImageData)n=e.data;else if(e instanceof HTMLCanvasElement)n=e.getContext(\"2d\").getImageData(0,0,e.width,e.height).data;else{if(!(e instanceof HTMLImageElement||e instanceof HTMLVideoElement))throw new Error(\"pixels is of unknown type: \"+e.constructor.name);if(null==this.canvas)throw new Error(\"Can't read pixels from HTMLImageElement outside the browser.\");this.canvas.width=e.width,this.canvas.height=e.height,this.canvas.getContext(\"2d\").drawImage(e,0,0,e.width,e.height),n=this.canvas.getContext(\"2d\").getImageData(0,0,e.width,e.height).data}if(4===t)r=new Int32Array(n);else{var a=e.width*e.height;r=new Int32Array(a*t);for(var o=0;o<a;o++)for(var i=0;i<t;++i)r[o*t+i]=n[4*o+i]}var s=[e.height,e.width,t];return tensor3d(r,s,\"int32\")},e.prototype.read=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){return[2,this.readSync(e)]})})},e.prototype.readSync=function(e){return this.throwIfNoData(e),this.data.get(e)},e.prototype.disposeData=function(e){this.data.has(e)&&this.data.delete(e)},e.prototype.time=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){return t=performance.now(),e(),[2,{kernelMs:performance.now()-t}]})})},e.prototype.memory=function(){return{unreliable:!0}},e.prototype.throwIfNoData=function(e){if(!this.data.has(e))throw new Error(\"CPU backend: No data found for this tensor. Did you change your backend in the middle of the program? New backends can't use Tensors created with previous backends\")},e.prototype.slice=function(e,t,n){for(var r=buffer(n,e.dtype),a=0;a<r.size;++a){var o=r.indexToLoc(a),i=o.map(function(e,n){return e+t[n]});r.set.apply(r,[e.get.apply(e,i)].concat(o))}return r.toTensor()},e.prototype.stridedSlice=function(e,t,n,r,a,o){var i=getStridedSlicedInfo(e.shape,t,n,r,a,o),s=i[0],u=i[1];if(u.some(function(e){return 0===e}))return tensor([],u);for(var l=buffer(u,e.dtype),c=0;c<l.size;c++){for(var d=l.indexToLoc(c),p=new Array(d.length),h=0;h<p.length;h++)p[h]=d[h]*r[h]+s[h];l.set.apply(l,[e.get.apply(e,p)].concat(d))}return l.toTensor()},e.prototype.reverse=function(e,t){for(var n=buffer(e.shape,e.dtype),r=e.buffer(),a=function(a){var o=n.indexToLoc(a),i=o.slice();t.forEach(function(t){return i[t]=e.shape[t]-1-i[t]}),n.set.apply(n,[r.get.apply(r,i)].concat(o))},o=0;o<n.size;o++)a(o);return n.toTensor()},e.prototype.concat=function(e,t){var n=computeOutShape(e.shape,t.shape,1),r=buffer(n,e.dtype);if(1===e.shape[0]&&1===t.shape[0]){var a=e.dataSync(),o=t.dataSync(),i=r.values;return i.set(a,0),i.set(o,e.size),r.toTensor()}for(var s=0;s<n[0];++s){for(var u=0;u<e.shape[1];++u)r.set(e.get(s,u),s,u);for(u=0;u<t.shape[1];++u)r.set(t.get(s,u),s,u+e.shape[1])}return r.toTensor()},e.prototype.neg=function(e){return this.multiply(scalar(-1),e)},e.prototype.add=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e+t})},e.prototype.subtract=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e-t})},e.prototype.pow=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.pow(e,t)})},e.prototype.matMul=function(e,t,n,r){for(var a=n?e.shape[0]:e.shape[1],o=n?e.shape[1]:e.shape[0],i=r?t.shape[0]:t.shape[1],s=e.dataSync(),u=t.dataSync(),l=n?[1,e.strides[0]]:[e.strides[0],1],c=l[0],d=l[1],p=r?[t.strides[0],1]:[1,t.strides[0]],h=p[0],f=p[1],g=o*c,m=i*h,v=new Float32Array(o*i),y=0,x=0;x<g;x+=c)for(var b=0;b<m;b+=h){for(var E=x,S=b,A=0,T=0;T<a;++T)A+=s[E]*u[S],E+=d,S+=f;v[y++]=A}return tensor2d(v,[o,i])},e.prototype.multiply=function(e,t){return this.broadcastedBinaryOp(e,t,upcastType(e.dtype,t.dtype),function(e,t){return e*t})},e.prototype.realDivide=function(e,t){return this.broadcastedBinaryOp(e,t,\"float32\",function(e,t){return e/t})},e.prototype.floorDiv=function(e,t){return this.broadcastedBinaryOp(e,t,\"int32\",function(e,t){return Math.floor(e/t)})},e.prototype.sum=function(e,t){assertAxesAreInnerMostDims(\"sum\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=upcastType(e.dtype,\"int32\"),i=zeros(r,o),s=sizeFromShape(a),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=0,h=0;h<s;++h)p+=l[d+h];u[c]=p}return i},e.prototype.unsortedSegmentSum=function(e,t,n){for(var r=[],a=e.rank-t.rank,o=0;o<a;++o)t=t.expandDims(o+1);for(o=0;o<n;++o){var i=scalar(o,\"int32\"),s=equal(i,t).asType(\"float32\").mul(e).sum(0);r.push(s)}return stack(r)},e.prototype.argMin=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMin\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),a=r[0],o=r[1],i=zeros(a,\"int32\"),s=sizeFromShape(o),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=l[d],h=0,f=0;f<s;++f){var g=l[d+f];g<p&&(p=g,h=f)}u[c]=h}return i},e.prototype.argMax=function(e,t){var n=[t];assertAxesAreInnerMostDims(\"argMax\",n,e.rank);for(var r=computeOutAndReduceShapes(e.shape,n),a=r[0],o=r[1],i=zeros(a,\"int32\"),s=sizeFromShape(o),u=i.dataSync(),l=e.dataSync(),c=0;c<u.length;++c){for(var d=c*s,p=l[d],h=0,f=0;f<s;++f){var g=l[d+f];g>p&&(p=g,h=f)}u[c]=h}return i},e.prototype.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error(\"backend.cumsum in CPU expects an inner-most axis=\"+(e.rank-1)+\" but got axis=\"+t);for(var a=upcastType(e.dtype,\"int32\"),o=zeros(e.shape,a),i=o.dataSync(),s=e.dataSync(),u=e.shape[e.rank-1],l=r?function(e,t){return e+u-t-1}:function(e,t){return e+t},c=0;c<s.length;c+=u)for(var d=0;d<u;d++){var p=l(c,d);if(0===d)i[p]=n?0:s[p];else{var h=l(c,d-1);i[p]=n?s[h]+i[h]:s[p]+i[h]}}return o},e.prototype.equal=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e===t?1:0})},e.prototype.notEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e!==t?1:0})},e.prototype.less=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<t?1:0})},e.prototype.lessEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e<=t?1:0})},e.prototype.greater=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>t?1:0})},e.prototype.greaterEqual=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e>=t?1:0})},e.prototype.logicalNot=function(e){for(var t=e.dataSync(),n=new Int32Array(t.length),r=0;r<t.length;++r)n[r]=t[r]?0:1;return Tensor.make(e.shape,{values:n},\"bool\")},e.prototype.logicalAnd=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e&&t})},e.prototype.logicalOr=function(e,t){return this.broadcastedBinaryOp(e,t,\"bool\",function(e,t){return e||t})},e.prototype.where=function(e,t,n,r){for(var a=e.dataSync(),o=t.dataSync(),i=n.dataSync(),s=zeros(t.shape,r),u=s.dataSync(),l=0,c=0===e.rank||e.rank>1||1===t.rank?1:t.shape[1],d=0;d<a.length;d++)for(var p=0;p<c;p++)1===a[d]?u[l++]=o[d]:u[l++]=i[d];return s},e.prototype.topKValues=function(e,t){return this.topK(e,t).values},e.prototype.topKIndices=function(e,t){return this.topK(e,t).indices},e.prototype.topK=function(e,t){for(var n=e.dataSync(),r=[],a=0;a<n.length;a++)r.push({value:n[a],index:a});r.sort(function(e,t){return t.value-e.value});var o=getTypedArrayFromDType(e.dtype,t),i=new Int32Array(t);for(a=0;a<t;a++)o[a]=r[a].value,i[a]=r[a].index;return{values:tensor1d(o,e.dtype),indices:tensor1d(i,\"int32\")}},e.prototype.min=function(e,t){assertAxesAreInnerMostDims(\"min\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];h<d&&(d=h)}s[l]=d}return o},e.prototype.minimum=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.min(e,t)})},e.prototype.mod=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e%t;return e<0&&t<0||e>=0&&t>=0?n:(n+t)%t})},e.prototype.max=function(e,t){assertAxesAreInnerMostDims(\"max\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];h>d&&(d=h)}s[l]=d}return o},e.prototype.maximum=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.max(e,t)})},e.prototype.all=function(e,t){assertAxesAreInnerMostDims(\"all\",t,e.rank);for(var n=computeOutAndReduceShapes(e.shape,t),r=n[0],a=n[1],o=zeros(r,e.dtype),i=sizeFromShape(a),s=o.dataSync(),u=e.dataSync(),l=0;l<s.length;++l){for(var c=l*i,d=u[c],p=0;p<i;++p){var h=u[c+p];d=d&&h}s[l]=d}return o},e.prototype.squaredDifference=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){var n=e-t;return n*n})},e.prototype.ceil=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.ceil(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.floor=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.floor(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.sign=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)t[r]<0?n[r]=-1:t[r]>0?n[r]=1:n[r]=0;return Tensor.make(e.shape,{values:n})},e.prototype.round=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=Math.floor(t[r]);t[r]-a<.5?n[r]=Math.floor(t[r]):t[r]-a>.5?n[r]=Math.ceil(t[r]):n[r]=a%2==0?a:a+1}return Tensor.make(e.shape,{values:n})},e.prototype.exp=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.exp(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.expm1=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=Math.expm1(t[r]);return Tensor.make(e.shape,{values:n})},e.prototype.log=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log(a)}return Tensor.make(e.shape,{values:n})},e.prototype.log1p=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.log1p(a)}return Tensor.make(e.shape,{values:n})},e.prototype.sqrt=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=Math.sqrt(a)}return Tensor.make(e.shape,{values:n})},e.prototype.rsqrt=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=1/Math.sqrt(a)}return Tensor.make(e.shape,{values:n})},e.prototype.square=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r){var a=t[r];n[r]=a*a}return Tensor.make(e.shape,{values:n})},e.prototype.reciprocal=function(e){for(var t=e.dataSync(),n=new Float32Array(t.length),r=0;r<t.length;++r)n[r]=1/t[r];return Tensor.make(e.shape,{values:n})},e.prototype.relu=function(e){for(var t=zeros(e.shape,e.dtype),n=t.dataSync(),r=e.dataSync(),a=0;a<r.length;++a)n[a]=Math.max(0,r[a]);return t},e.prototype.elu=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r){var a=n[r];t[r]=a>=0?a:Math.exp(a)-1}return Tensor.make(e.shape,{values:t})},e.prototype.eluDer=function(e,t){for(var n=new Float32Array(t.size),r=t.dataSync(),a=e.dataSync(),o=0;o<r.length;++o){var i=r[o];n[o]=i>=1?a[o]:a[o]*(i+1)}return Tensor.make(t.shape,{values:n})},e.prototype.selu=function(e){for(var t=SELU_SCALEALPHA,n=SELU_SCALE,r=new Float32Array(e.size),a=e.dataSync(),o=0;o<a.length;++o){var i=a[o];r[o]=i>=0?n*i:t*(Math.exp(i)-1)}return Tensor.make(e.shape,{values:r})},e.prototype.clip=function(e,t,n){for(var r=new Float32Array(e.size),a=e.dataSync(),o=0;o<a.length;++o)r[o]=Math.min(n,Math.max(t,a[o]));return Tensor.make(e.shape,{values:r})},e.prototype.abs=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.abs(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.int=function(e){for(var t=new Int32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=n[r];return Tensor.make(e.shape,{values:t},\"int32\")},e.prototype.sigmoid=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=1/(1+Math.exp(-n[r]));return Tensor.make(e.shape,{values:t})},e.prototype.softplus=function(e){for(var t=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var o=r[a]>-t,i=r[a]<t,s=Math.exp(r[a]),u=void 0;u=i?s:o?r[a]:Math.log(1+s),n[a]=u}return Tensor.make(e.shape,{values:n})},e.prototype.sin=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cos=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tan=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.tan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asin=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asin(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acos=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acos(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atan(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atan2=function(e,t){return this.broadcastedBinaryOp(e,t,e.dtype,function(e,t){return Math.atan2(e,t)})},e.prototype.sinh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.sinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.cosh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.cosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.tanh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=tanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.asinh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.asinh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.acosh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.acosh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.atanh=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=0;r<n.length;++r)t[r]=Math.atanh(n[r]);return Tensor.make(e.shape,{values:t})},e.prototype.erf=function(e){for(var t=new Float32Array(e.size),n=e.dataSync(),r=ERF_P,a=ERF_A1,o=ERF_A2,i=ERF_A3,s=ERF_A4,u=ERF_A5,l=0;l<n.length;++l){var c=n[l],d=1/(1+r*c);t[l]=1-((((u*d+s)*d+i)*d+o)*d+a)*d*Math.exp(-c*c)}return Tensor.make(e.shape,{values:t})},e.prototype.step=function(e,t){void 0===t&&(t=0);for(var n=new Float32Array(e.size),r=e.dataSync(),a=0;a<r.length;++a){var o=r[a];isNaN(o)?n[a]=NaN:n[a]=o>0?1:t}return Tensor.make(e.shape,{values:n})},e.prototype.conv2d=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=buffer(n.outShape,e.dtype),c=0;c<n.batchSize;++c)for(var d=0;d<n.outChannels;++d)for(var p=0;p<n.outHeight;++p)for(var h=p*n.strideHeight-s,f=0;f<n.outWidth;++f){for(var g=f*n.strideWidth-u,m=0,v=0;v<r;v++){var y=h+v*o;if(!(y<0||y>=n.inHeight))for(var x=0;x<a;x++){var b=g+x*i;if(!(b<0||b>=n.inWidth))for(var E=0;E<n.inChannels;++E){m+=e.get(c,y,b,E)*t.get(v,x,E,d)}}}l.set(m,c,p,f,d)}return l.toTensor()},e.prototype.conv2dDerInput=function(e,t,n){for(var r=buffer(n.inShape,\"float32\"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],l=e.dataSync(),c=e.strides,d=c[0],p=c[1],h=c[2],f=t.dataSync(),g=t.strides,m=g[0],v=g[1],y=g[2],x=n.batchSize,b=n.filterHeight,E=n.filterWidth,S=n.inChannels,A=n.inHeight,T=n.inWidth,w=n.outChannels,_=n.outHeight,R=n.outWidth,C=n.strideHeight,O=n.strideWidth,I=b-1-n.padInfo.top,k=E-1-n.padInfo.left,M=0;M<x;++M)for(var N=0;N<S;++N)for(var D=0;D<A;++D)for(var P=D-I,F=Math.max(0,Math.ceil(P/C)),L=Math.min(_,(b+P)/C),B=0;B<T;++B){for(var U=B-k,V=Math.max(0,Math.ceil(U/O)),z=Math.min(R,(E+U)/O),G=0,W=F;W<L;++W)for(var q=W*C-P,H=V;H<z;++H)for(var X=d*M+p*W+h*H,j=m*(b-1-q)+v*(E-1-(H*O-U))+y*N,K=0;K<w;++K){G+=l[X+K]*f[j+K]}a[i*M+s*D+u*B+N]=G}return r.toTensor()},e.prototype.conv2dDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=0;c<o;++c)for(var d=Math.max(0,Math.ceil((l-c)/r)),p=Math.min(n.outHeight,(n.inHeight+l-c)/r),h=0;h<i;++h)for(var f=Math.max(0,Math.ceil((u-h)/a)),g=Math.min(n.outWidth,(n.inWidth+u-h)/a),m=0;m<n.inChannels;++m)for(var v=0;v<n.outChannels;++v){for(var y=0,x=0;x<n.batchSize;++x)for(var b=d;b<p;++b)for(var E=c+b*r-l,S=f;S<g;++S){var A=h+S*a-u;y+=e.get(x,E,A,m)*t.get(x,b,S,v)}s.set(y,c,h,m,v)}return s.toTensor()},e.prototype.depthwiseConv2D=function(e,t,n){for(var r=n.filterHeight,a=n.filterWidth,o=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=buffer(n.outShape,e.dtype),d=0;d<n.batchSize;++d)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.outHeight;++h)for(var f=h*n.strideHeight-s,g=0;g<n.outWidth;++g)for(var m=g*n.strideWidth-u,v=0;v<l;++v){for(var y=0,x=0;x<r;++x){var b=f+x*o;if(!(b<0||b>=n.inHeight))for(var E=0;E<a;++E){var S=m+E*i;if(!(S<0||S>=n.inWidth))y+=e.get(d,b,S,p)*t.get(x,E,p,v)}}c.set(y,d,h,g,p*l+v)}return c.toTensor()},e.prototype.depthwiseConv2DDerInput=function(e,t,n){for(var r=buffer(n.inShape,\"float32\"),a=r.values,o=r.strides,i=o[0],s=o[1],u=o[2],l=e.dataSync(),c=e.strides,d=c[0],p=c[1],h=c[2],f=t.dataSync(),g=t.strides,m=g[0],v=g[1],y=g[2],x=n.batchSize,b=n.filterHeight,E=n.filterWidth,S=n.inChannels,A=n.inHeight,T=n.inWidth,w=n.outChannels,_=n.outHeight,R=n.outWidth,C=n.strideHeight,O=n.strideWidth,I=b-1-n.padInfo.top,k=E-1-n.padInfo.left,M=w/S,N=0;N<x;++N)for(var D=0;D<S;++D)for(var P=0;P<A;++P)for(var F=P-I,L=Math.max(0,Math.ceil(F/C)),B=Math.min(_,(b+F)/C),U=0;U<T;++U){for(var V=U-k,z=Math.max(0,Math.ceil(V/O)),G=Math.min(R,(E+V)/O),W=0,q=L;q<B;++q)for(var H=q*C-F,X=z;X<G;++X)for(var j=d*N+p*q+h*X,K=m*(b-1-H)+v*(E-1-(X*O-V))+y*D,Q=0;Q<M;++Q){W+=l[j+(D*M+Q)]*f[K+Q]}a[i*N+s*P+u*U+D]=W}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=buffer(n.filterShape,\"float32\"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,d=0;d<o;++d)for(var p=Math.max(0,Math.ceil((l-d)/r)),h=Math.min(n.outHeight,(n.inHeight+l-d)/r),f=0;f<i;++f)for(var g=Math.max(0,Math.ceil((u-f)/a)),m=Math.min(n.outWidth,(n.inWidth+u-f)/a),v=0;v<n.outChannels;++v){for(var y=Math.trunc(v/c),x=v%c,b=0,E=0;E<n.batchSize;++E)for(var S=p;S<h;++S)for(var A=d+S*r-l,T=g;T<m;++T){var w=f+T*a-u;b+=e.get(E,A,w,y)*t.get(E,S,T,v)}s.set(b,d,f,y,x)}return s.toTensor()},e.prototype.tile=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[r]*t[r];var a=buffer(n,e.dtype),o=e.buffer();for(r=0;r<a.values.length;++r){for(var i=a.indexToLoc(r),s=new Array(e.rank),u=0;u<s.length;u++)s[u]=i[u]%e.shape[u];var l=o.locToIndex(s);a.values[r]=o.values[l]}return a.toTensor()},e.prototype.pad=function(e,t,n){var r=t.map(function(t,n){return t[0]+e.shape[n]+t[1]}),a=t.map(function(e){return e[0]}),o=e.buffer(),i=buffer(r,e.dtype);0!==n&&i.values.fill(n);for(var s=0;s<e.size;s++){var u=o.indexToLoc(s),l=u.map(function(e,t){return e+a[t]});i.set.apply(i,[e.get.apply(e,u)].concat(l))}return i.toTensor()},e.prototype.transpose=function(e,t){for(var n=new Array(e.rank),r=0;r<n.length;r++)n[r]=e.shape[t[r]];var a=e.dataSync(),o=buffer(n,e.dtype),i=e.buffer();for(r=0;r<e.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),l=0;l<u.length;l++)u[l]=s[t[l]];var c=o.locToIndex(u);o.values[c]=a[r]}return o.toTensor()},e.prototype.gather=function(e,t,n){var r=e.shape.slice(),a=t.dataSync();r[n]=a.length;for(var o=buffer(r,e.dtype),i=e.buffer(),s=0;s<o.size;++s){var u=o.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=i.locToIndex(l);o.values[s]=i.values[c]}return o.toTensor()},e.prototype.pool=function(e,t,n){for(var r=t.strideHeight,a=t.strideWidth,o=t.filterHeight,i=t.filterWidth,s=buffer(t.outShape,\"float32\"),u=t.padInfo.top,l=t.padInfo.left,c=0;c<t.batchSize;++c)for(var d=0;d<t.inChannels;++d)for(var p=0;p<t.outHeight;++p)for(var h=p*r-u,f=Math.max(0,h),g=Math.min(t.inHeight,o+h),m=0;m<t.outWidth;++m){for(var v=m*a-l,y=Math.max(0,v),x=Math.min(t.inWidth,i+v),b=\"max\"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,E=0,S=0,A=f;A<g;++A){for(var T=y;T<x;++T){var w=e.get(c,A,T,d);\"max\"===n&&w>b?b=w:\"avg\"===n&&(E+=w,S++)}if(isNaN(b))break}s.set(\"avg\"===n?E/S:b,c,p,m,d)}return s.toTensor()},e.prototype.maxPool=function(e,t){return this.pool(e,t,\"max\")},e.prototype.maxPoolPositions=function(e,t){for(var n=buffer(t.outShape,\"int32\"),r=t.strideHeight,a=t.strideWidth,o=t.filterHeight,i=t.filterWidth,s=t.padInfo.top,u=t.padInfo.left,l=0;l<t.batchSize;++l)for(var c=0;c<t.inChannels;++c)for(var d=0;d<t.outHeight;++d)for(var p=d*r-s,h=Math.max(0,p),f=Math.min(t.inHeight,o+p),g=0;g<t.outWidth;++g){for(var m=g*a-u,v=Math.max(0,m),y=Math.min(t.inWidth,i+m),x=Number.NEGATIVE_INFINITY,b=-1,E=h;E<f;++E)for(var S=E-p,A=v;A<y;++A){var T=A-m,w=e.get(l,E,A,c);w>x&&(x=w,b=S*i+T)}n.set(b,l,d,g,c)}return n.toTensor()},e.prototype.maxPoolBackprop=function(e,t,n,r){for(var a=this.maxPoolPositions(t,r),o=r.strideHeight,i=r.strideWidth,s=r.filterHeight,u=r.filterWidth,l=u-1-r.padInfo.left,c=s-1-r.padInfo.top,d=buffer(t.shape,\"float32\"),p=0;p<r.batchSize;++p)for(var h=0;h<r.inChannels;++h)for(var f=0;f<r.inHeight;++f)for(var g=0;g<r.inWidth;++g){for(var m=f-c,v=g-l,y=0,x=0;x<s;++x){var b=(m+x)/o;if(!(b<0||b>=r.outHeight||Math.floor(b)!==b))for(var E=0;E<u;++E){var S=(v+E)/i;if(!(S<0||S>=r.outWidth||Math.floor(S)!==S)){var A=s*u-1-a.get(p,b,S,h)===x*u+E?1:0;if(0!==A)y+=e.get(p,b,S,h)*A}}}d.set(y,p,f,g,h)}return d.toTensor()},e.prototype.avgPoolBackprop=function(e,t,n){for(var r=n.strideHeight,a=n.strideWidth,o=n.filterHeight,i=n.filterWidth,s=i-1-n.padInfo.left,u=o-1-n.padInfo.top,l=buffer(t.shape,\"float32\"),c=1/(o*i),d=0;d<n.batchSize;++d)for(var p=0;p<n.inChannels;++p)for(var h=0;h<n.inHeight;++h)for(var f=0;f<n.inWidth;++f){for(var g=h-u,m=f-s,v=0,y=0;y<o;++y){var x=(g+y)/r;if(!(x<0||x>=n.outHeight||Math.floor(x)!==x))for(var b=0;b<i;++b){var E=(m+b)/a;if(!(E<0||E>=n.outWidth||Math.floor(E)!==E))v+=e.get(d,x,E,p)}}l.set(v*c,d,h,f,p)}return l.toTensor()},e.prototype.cast=function(e,t){return castTensor(e,t,this)},e.prototype.reshape=function(e,t){return reshapeTensor(e,t)},e.prototype.avgPool=function(e,t){return this.pool(e,t,\"avg\").toFloat()},e.prototype.resizeBilinear=function(e,t,n,r){for(var a=e.shape,o=a[0],i=a[1],s=a[2],u=a[3],l=buffer([o,t,n,u],e.dtype),c=[r&&t>1?i-1:i,r&&n>1?s-1:s],d=[r&&t>1?t-1:t,r&&n>1?n-1:n],p=0;p<o;p++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var g=0;g<u;g++){var m=c[0]*h/d[0],v=c[1]*f/d[1],y=Math.floor(m),x=Math.min(i-1,Math.ceil(m)),b=Math.floor(v),E=Math.min(s-1,Math.ceil(v)),S=e.get(p,y,b,g),A=e.get(p,x,b,g),T=v-b,w=S+(e.get(p,y,E,g)-S)*T,_=w+(A+(e.get(p,x,E,g)-A)*T-w)*(m-y);l.set(_,p,h,f,g)}return l.toTensor()},e.prototype.resizeBilinearBackprop=function(e,t,n){for(var r=t.shape,a=r[0],o=r[1],i=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],d=buffer([a,o,i,s],t.dtype),p=[n&&l>1?o-1:o,n&&c>1?i-1:i],h=[n&&l>1?l-1:l,n&&c>1?c-1:c],f=p[0]/h[0],g=p[1]/h[1],m=0;m<a;m++)for(var v=0;v<l;v++)for(var y=v*f,x=Math.floor(y),b=Math.min(Math.ceil(y),o-1),E=y-x,S=1-E,A=0;A<c;A++)for(var T=A*g,w=Math.floor(T),_=Math.min(Math.ceil(T),i-1),R=T-w,C=1-R,O=0;O<s;O++){var I=e.get(m,v,A,O),k=d.get(m,x,w,O);k+=I*S*C,d.set(k,m,x,w,O);var M=d.get(m,x,_,O);M+=I*S*R,d.set(M,m,x,_,O);var N=d.get(m,b,w,O);N+=I*E*C,d.set(N,m,b,w,O);var D=d.get(m,b,_,O);D+=I*E*R,d.set(D,m,b,_,O)}return d.toTensor()},e.prototype.resizeNearestNeighbor=function(e,t,n,r){for(var a=e.shape,o=a[0],i=a[1],s=a[2],u=a[3],l=buffer([o,t,n,u],e.dtype),c=r?[i-1,s-1]:[i,s],d=r?[t-1,n-1]:[t,n],p=0;p<o;p++)for(var h=0;h<t;h++)for(var f=0;f<n;f++)for(var g=0;g<u;g++){var m=c[0]*h/d[0],v=c[1]*f/d[1],y=Math.min(i-1,r?Math.round(m):Math.floor(m)),x=Math.min(s-1,r?Math.round(v):Math.floor(v)),b=e.get(p,y,x,g);l.set(b,p,h,f,g)}return l.toTensor()},e.prototype.batchNormalization=function(e,t,n,r,a,o){for(var i=e.dataSync(),s=t.dataSync(),u=n.dataSync(),l=a?a.dataSync():new Float32Array([1]),c=o?o.dataSync():new Float32Array([0]),d=new Float32Array(i.length),p=0;p<i.length;p++)d[p]=c[p%c.length]+(i[p]-s[p%s.length])*l[p%l.length]/Math.sqrt(u[p%u.length]+r);return tensor4d(d,e.shape)},e.prototype.localResponseNormalization4D=function(e,t,n,r,a){var o=buffer(e.shape,\"float32\"),i=t,s=o.shape[3]-1;function u(t,n,r,a){for(var o=0,u=Math.max(0,a-i);u<=Math.min(a+i,s);u++){var l=e.get(t,n,r,u);o+=l*l}return o}for(var l=0;l<o.shape[0];l++)for(var c=0;c<=o.shape[1];c++)for(var d=0;d<o.shape[2];d++)for(var p=0;p<o.shape[3];p++){var h=u(l,c,d,p),f=e.get(l,c,d,p)*Math.pow(n+r*h,-a);o.set(f,l,c,d,p)}return o.toTensor()},e.prototype.multinomial=function(e,t,n,r){for(var a=t?e:softmax(e),o=a.shape[0],i=a.shape[1],s=zeros([o,n],\"int32\"),u=s.dataSync(),l=a.dataSync(),c=0;c<o;++c){var d=c*i,p=new Float32Array(i-1);p[0]=l[d];for(var h=1;h<p.length;++h)p[h]=p[h-1]+l[d+h];for(var f=seedrandom_1(r.toString()),g=c*n,m=0;m<n;++m){var v=f();u[g+m]=p.length;for(var y=0;y<p.length;y++)if(v<p[y]){u[g+m]=y;break}}}return s},e.prototype.oneHot=function(e,t,n,r){var a=new Float32Array(e.size*t);a.fill(r);for(var o=0;o<e.size;++o)e.get(o)>=0&&e.get(o)<t&&(a[o*t+e.get(o)]=n);return tensor2d(a,[e.size,t],\"int32\")},e.prototype.broadcastedBinaryOp=function(e,t,n,r){for(var a=assertAndGetBroadcastShape(e.shape,t.shape),o=buffer(a,n),i=e.dataSync(),s=t.dataSync(),u=getBroadcastDims(e.shape,a),l=getBroadcastDims(t.shape,a),c=e.buffer(),d=t.buffer(),p=function(n){var a=o.indexToLoc(n),p=a.slice(-e.rank);u.forEach(function(e){return p[e]=0});var h=c.locToIndex(p),f=a.slice(-t.rank);l.forEach(function(e){return f[e]=0});var g=d.locToIndex(f);o.values[n]=r(i[h],s[g])},h=0;h<o.values.length;++h)p(h);return o.toTensor()},e.prototype.dispose=function(){},e}();ENV.registerBackend(\"cpu\",function(){return new MathBackendCPU},1);var BrowserUtil=function(){function e(){}return e.nextFrame=function(){return new Promise(function(e){return requestAnimationFrame(function(){return e()})})},__decorate([doc({heading:\"Performance\",subheading:\"Timing\"})],e,\"nextFrame\",null),e}(),DTYPE_VALUE_SIZE_MAP={float32:4,int32:4,uint16:2,uint8:1,bool:1};function encodeWeights(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){switch(o.label){case 0:for(r in t=[],n=[],e){if(\"float32\"!==(a=e[r]).dtype&&\"int32\"!==a.dtype&&\"bool\"!==a.dtype)throw new Error(\"Unsupported dtype in weight '\"+r+\"': \"+a.dtype);t.push({name:r,shape:a.shape,dtype:a.dtype}),n.push(a.data())}return[4,Promise.all(n)];case 1:return[2,{data:concatenateTypedArrays(o.sent()),specs:t}]}})})}function decodeWeights(e,t){for(var n={},r=0,a=0,o=t;a<o.length;a++){var i=o[a],s=i.name,u=i.dtype,l=i.shape;if(null!=i.quantization)throw new Error(\"decodeWeights does not support quantization yet, but encountered weight '\"+s+\" with quantization.'\");var c=sizeFromShape(l),d=void 0;if(\"float32\"===u)d=ArrayOps.tensor(new Float32Array(e,r,c),l,\"float32\");else if(\"int32\"===u)d=ArrayOps.tensor(new Int32Array(e,r,c),l,\"int32\");else{if(\"bool\"!==u)throw new Error(\"Unsupported dtype in weight '\"+s+\"': \"+u);d=ArrayOps.tensor(new Uint8Array(e,r,c),l,\"bool\")}n[s]=d,r+=c*DTYPE_VALUE_SIZE_MAP[u]}return n}function concatenateTypedArrays(e){if(null===e)throw new Error(\"Invalid input value: \"+JSON.stringify(e));var t=0;e.forEach(function(e){if(e instanceof Float32Array||e instanceof Int32Array)t+=e.buffer.byteLength;else{if(!(e instanceof Uint8Array))throw new Error(\"Unsupported TypedArray subtype: \"+e.constructor.name);t+=e.buffer.byteLength}});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e.buffer),r),r+=e.buffer.byteLength}),n.buffer}function stringByteLength(e){return new Blob([e]).size}function arrayBufferToBase64String(e){return btoa(String.fromCharCode.apply(null,new Uint8Array(e)))}function base64StringToArrayBuffer(e){for(var t=atob(e),n=new Uint8Array(t.length),r=0;r<t.length;++r)n.set([t.charCodeAt(r)],r);return n.buffer}function concatenateArrayBuffers(e){var t=0;e.forEach(function(e){t+=e.byteLength});var n=new Uint8Array(t),r=0;return e.forEach(function(e){n.set(new Uint8Array(e),r),r+=e.byteLength}),n.buffer}function basename(e){for(e=e.trim();e.endsWith(\"/\");)e=e.slice(0,e.length-1);var t=e.split(\"/\");return t[t.length-1]}function getModelArtifactsInfoForJSON(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");return{dateSaved:new Date,modelTopologyType:\"JSON\",modelTopologyBytes:null==e.modelTopology?0:stringByteLength(JSON.stringify(e.modelTopology)),weightSpecsBytes:null==e.weightSpecs?0:stringByteLength(JSON.stringify(e.weightSpecs)),weightDataBytes:null==e.weightData?0:e.weightData.byteLength}}var IORouterRegistry=function(){function e(){this.saveRouters=[],this.loadRouters=[]}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerSaveRouter=function(t){e.getInstance().saveRouters.push(t)},e.registerLoadRouter=function(t){e.getInstance().loadRouters.push(t)},e.getSaveHandlers=function(t){return e.getHandlers(t,\"save\")},e.getLoadHandlers=function(t){return e.getHandlers(t,\"load\")},e.getHandlers=function(e,t){var n=[];return(\"load\"===t?this.getInstance().loadRouters:this.getInstance().saveRouters).forEach(function(t){var r=t(e);null!==r&&n.push(r)}),n},e}(),URL_SCHEME_SUFFIX=\"://\",ModelStoreManagerRegistry=function(){function e(){this.managers={}}return e.getInstance=function(){return null==e.instance&&(e.instance=new e),e.instance},e.registerManager=function(t,n){assert(null!=t,\"scheme must not be undefined or null.\"),t.endsWith(URL_SCHEME_SUFFIX)&&(t=t.slice(0,t.indexOf(URL_SCHEME_SUFFIX))),assert(t.length>0,\"scheme must not be an empty string.\");var r=e.getInstance();assert(null==r.managers[t],\"A model store manager is already registered for scheme '\"+t+\"'.\"),r.managers[t]=n},e.getManager=function(e){var t=this.getInstance().managers[e];if(null==t)throw new Error(\"Cannot find model manager for scheme '\"+e+\"'\");return t},e.getSchemes=function(){return Object.keys(this.getInstance().managers)},e}();function parseURL(e){if(-1===e.indexOf(URL_SCHEME_SUFFIX))throw new Error(\"The url string provided does not contain a scheme. Supported schemes are: \"+ModelStoreManagerRegistry.getSchemes().join(\",\"));return{scheme:e.split(URL_SCHEME_SUFFIX)[0],path:e.split(URL_SCHEME_SUFFIX)[1]}}function cloneModelInternal(e,t,n){return void 0===n&&(n=!1),__awaiter(this,void 0,void 0,function(){var r,a,o,i,s,u,l,c,d;return __generator(this,function(p){switch(p.label){case 0:return assert(e!==t,\"Old path and new path are the same: '\"+e+\"'\"),assert((r=IORouterRegistry.getLoadHandlers(e)).length>0,\"Copying failed because no load handler is found for source URL \"+e+\".\"),assert(r.length<2,\"Copying failed because more than one (\"+r.length+\") load handlers for source URL \"+e+\".\"),a=r[0],assert((o=IORouterRegistry.getSaveHandlers(t)).length>0,\"Copying failed because no save handler is found for destination URL \"+t+\".\"),assert(o.length<2,\"Copying failed because more than one (\"+r.length+\") save handlers for destination URL \"+t+\".\"),i=o[0],s=parseURL(e).scheme,u=parseURL(e).path,l=s===parseURL(e).scheme,[4,a.load()];case 1:return c=p.sent(),n&&l?[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)]:[3,3];case 2:p.sent(),p.label=3;case 3:return[4,i.save(c)];case 4:return d=p.sent(),!n||l?[3,6]:[4,ModelStoreManagerRegistry.getManager(s).removeModel(u)];case 5:p.sent(),p.label=6;case 6:return[2,d.modelArtifactsInfo]}})})}var ModelManagement=function(){function e(){}return e.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o,i;return __generator(this,function(s){switch(s.label){case 0:e=ModelStoreManagerRegistry.getSchemes(),t={},n=0,r=e,s.label=1;case 1:return n<r.length?(a=r[n],[4,ModelStoreManagerRegistry.getManager(a).listModels()]):[3,4];case 2:for(i in o=s.sent())t[a+URL_SCHEME_SUFFIX+i]=o[i];s.label=3;case 3:return n++,[3,1];case 4:return[2,t]}})})},e.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){switch(n.label){case 0:return t=parseURL(e),[4,ModelStoreManagerRegistry.getManager(t.scheme).removeModel(t.path)];case 1:return[2,n.sent()]}})})},e.copyModel=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!1)];case 1:return[2,n.sent()]}})})},e.moveModel=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(n){switch(n.label){case 0:return[4,cloneModelInternal(e,t,!0)];case 1:return[2,n.sent()]}})})},__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"listModels\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"removeModel\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"copyModel\",null),__decorate([doc({heading:\"Models\",subheading:\"Management\",namespace:\"io\"})],e,\"moveModel\",null),e}(),DATABASE_NAME=\"tensorflowjs\",DATABASE_VERSION=1,MODEL_STORE_NAME=\"models_store\",INFO_STORE_NAME=\"model_info_store\";function getIndexedDBFactory(){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");var e=window,t=e.indexedDB||e.mozIndexedDB||e.webkitIndexedDB||e.msIndexedDB||e.shimIndexedDB;if(null==t)throw new Error(\"The current browser does not appear to support IndexedDB.\");return t}function setUpDatabase(e){var t=e.result;t.createObjectStore(MODEL_STORE_NAME,{keyPath:\"modelPath\"}),t.createObjectStore(INFO_STORE_NAME,{keyPath:\"modelPath\"})}var BrowserIndexedDB=function(){function e(e){if(this.indexedDB=getIndexedDBFactory(),null==e||!e)throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");this.modelPath=e}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(t){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");return[2,this.databaseAction(this.modelPath,e)]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2,this.databaseAction(this.modelPath)]})})},e.prototype.databaseAction=function(e,t){var n=this;return new Promise(function(e,r){var a=n.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);a.onupgradeneeded=function(){return setUpDatabase(a)},a.onsuccess=function(){var o=a.result;if(null==t){var i=o.transaction(MODEL_STORE_NAME,\"readonly\"),s=i.objectStore(MODEL_STORE_NAME).get(n.modelPath);s.onsuccess=function(){if(null==s.result)return o.close(),r(new Error(\"Cannot find model with path '\"+n.modelPath+\"' in IndexedDB.\"));e(s.result.modelArtifacts)},s.onerror=function(e){return o.close(),r(s.error)},i.oncomplete=function(){return o.close()}}else{var u,l=getModelArtifactsInfoForJSON(t),c=o.transaction(INFO_STORE_NAME,\"readwrite\"),d=c.objectStore(INFO_STORE_NAME),p=d.put({modelPath:n.modelPath,modelArtifactsInfo:l});p.onsuccess=function(){var a=(u=o.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).put({modelPath:n.modelPath,modelArtifacts:t,modelArtifactsInfo:l});a.onsuccess=function(){return e({modelArtifactsInfo:l})},a.onerror=function(e){var t=(d=c.objectStore(INFO_STORE_NAME)).delete(n.modelPath);t.onsuccess=function(){return o.close(),r(a.error)},t.onerror=function(e){return o.close(),r(a.error)}}},p.onerror=function(e){return o.close(),r(p.error)},c.oncomplete=function(){null==u?o.close():u.oncomplete=function(){return o.close()}}}},a.onerror=function(e){return r(a.error)}})},e.URL_SCHEME=\"indexeddb://\",e}(),indexedDBRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserIndexedDB.URL_SCHEME)?browserIndexedDB(e.slice(BrowserIndexedDB.URL_SCHEME.length)):null};function browserIndexedDB(e){return new BrowserIndexedDB(e)}function maybeStripScheme(e){return e.startsWith(BrowserIndexedDB.URL_SCHEME)?e.slice(BrowserIndexedDB.URL_SCHEME.length):e}IORouterRegistry.registerSaveRouter(indexedDBRouter),IORouterRegistry.registerLoadRouter(indexedDBRouter);var BrowserIndexedDBManager=function(){function e(){this.indexedDB=getIndexedDBFactory()}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e=this;return __generator(this,function(t){return[2,new Promise(function(t,n){var r=e.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);r.onupgradeneeded=function(){return setUpDatabase(r)},r.onsuccess=function(){var e=r.result,a=e.transaction(INFO_STORE_NAME,\"readonly\"),o=a.objectStore(INFO_STORE_NAME).getAll();o.onsuccess=function(){for(var e={},n=0,r=o.result;n<r.length;n++){var a=r[n];e[a.modelPath]=a.modelArtifactsInfo}t(e)},o.onerror=function(t){return e.close(),n(o.error)},a.oncomplete=function(){return e.close()}},r.onerror=function(e){return n(r.error)}})]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t=this;return __generator(this,function(n){return e=maybeStripScheme(e),[2,new Promise(function(n,r){var a=t.indexedDB.open(DATABASE_NAME,DATABASE_VERSION);a.onupgradeneeded=function(){return setUpDatabase(a)},a.onsuccess=function(){var t,o=a.result,i=o.transaction(INFO_STORE_NAME,\"readwrite\"),s=i.objectStore(INFO_STORE_NAME),u=s.get(e);u.onsuccess=function(){if(null==u.result)return o.close(),r(new Error(\"Cannot find model with path '\"+e+\"' in IndexedDB.\"));var a=s.delete(e),i=function(){var a=(t=o.transaction(MODEL_STORE_NAME,\"readwrite\")).objectStore(MODEL_STORE_NAME).delete(e);a.onsuccess=function(){return n(u.result.modelArtifactsInfo)},a.onerror=function(e){return r(u.error)}};a.onsuccess=i,a.onerror=function(e){return i(),o.close(),r(u.error)}},u.onerror=function(e){return o.close(),r(u.error)},i.oncomplete=function(){null==t?o.close():t.oncomplete=function(){return o.close()}}},a.onerror=function(e){return r(a.error)}})]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME,new BrowserIndexedDBManager)}catch(e){}var PATH_SEPARATOR=\"/\",PATH_PREFIX=\"tensorflowjs_models\",INFO_SUFFIX=\"info\",MODEL_TOPOLOGY_SUFFIX=\"model_topology\",WEIGHT_SPECS_SUFFIX=\"weight_specs\",WEIGHT_DATA_SUFFIX=\"weight_data\";function getModelKeys(e){return{info:[PATH_PREFIX,e,INFO_SUFFIX].join(PATH_SEPARATOR),topology:[PATH_PREFIX,e,MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),weightSpecs:[PATH_PREFIX,e,WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),weightData:[PATH_PREFIX,e,WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR)}}function getModelPathFromKey(e){var t=e.split(PATH_SEPARATOR);if(t.length<3)throw new Error(\"Invalid key format: \"+e);return t.slice(1,t.length-1).join(PATH_SEPARATOR)}function maybeStripScheme$1(e){return e.startsWith(BrowserLocalStorage.URL_SCHEME)?e.slice(BrowserLocalStorage.URL_SCHEME.length):e}var BrowserLocalStorage=function(){function e(e){if(!ENV.get(\"IS_BROWSER\")||void 0===window.localStorage)throw new Error(\"The current environment does not support local storage.\");if(this.LS=window.localStorage,null==e||!e)throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");this.modelPath=e,this.keys=getModelKeys(this.modelPath)}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");t=JSON.stringify(e.modelTopology),n=JSON.stringify(e.weightSpecs),r=getModelArtifactsInfoForJSON(e);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,t),this.LS.setItem(this.keys.weightSpecs,n),this.LS.setItem(this.keys.weightData,arrayBufferToBase64String(e.weightData)),[2,{modelArtifactsInfo:r}]}catch(e){for(a in this.keys)this.LS.removeItem(this.keys[a]);throw new Error(\"Failed to save model '\"+this.modelPath+\"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=\"+r.modelTopologyBytes+\", weightSpecsBytes=\"+r.weightSpecsBytes+\", weightDataBytes=\"+r.weightDataBytes+\".\")}return[2]})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a;return __generator(this,function(o){if(null==(e=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error(\"In local storage, there is no model with name '\"+this.modelPath+\"'\");if(\"JSON\"!==e.modelTopologyType)throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");if(t={},null==(n=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error(\"In local storage, the topology of model '\"+this.modelPath+\"' is missing.\");if(t.modelTopology=n,null==(r=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error(\"In local storage, the weight specs of model '\"+this.modelPath+\"' are missing.\");if(t.weightSpecs=r,null==(a=this.LS.getItem(this.keys.weightData)))throw new Error(\"In local storage, the binary weight values of model '\"+this.modelPath+\"' are missing.\");return t.weightData=base64StringToArrayBuffer(a),[2,t]})})},e.URL_SCHEME=\"localstorage://\",e}(),localStorageRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserLocalStorage.URL_SCHEME)?browserLocalStorage(e.slice(BrowserLocalStorage.URL_SCHEME.length)):null};function browserLocalStorage(e){return new BrowserLocalStorage(e)}IORouterRegistry.registerSaveRouter(localStorageRouter),IORouterRegistry.registerLoadRouter(localStorageRouter);var BrowserLocalStorageManager=function(){function e(){assert(ENV.get(\"IS_BROWSER\"),\"Current environment is not a web browser\"),assert(void 0!==window.localStorage,\"Current browser does not appear to support localStorage\"),this.LS=window.localStorage}return e.prototype.listModels=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o;return __generator(this,function(i){for(e={},t=PATH_PREFIX+PATH_SEPARATOR,n=PATH_SEPARATOR+INFO_SUFFIX,r=0;r<this.LS.length;++r)(a=this.LS.key(r)).startsWith(t)&&a.endsWith(n)&&(o=getModelPathFromKey(a),e[o]=JSON.parse(this.LS.getItem(a)));return[2,e]})})},e.prototype.removeModel=function(e){return __awaiter(this,void 0,void 0,function(){var t,n;return __generator(this,function(r){if(e=maybeStripScheme$1(e),t=getModelKeys(e),null==this.LS.getItem(t.info))throw new Error(\"Cannot find model at path '\"+e+\"'\");return n=JSON.parse(this.LS.getItem(t.info)),this.LS.removeItem(t.info),this.LS.removeItem(t.topology),this.LS.removeItem(t.weightSpecs),this.LS.removeItem(t.weightData),[2,n]})})},e}();if(ENV.get(\"IS_BROWSER\"))try{ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME,new BrowserLocalStorageManager)}catch(e){}var DEFAULT_FILE_NAME_PREFIX=\"model\",DEFAULT_JSON_EXTENSION_NAME=\".json\",DEFAULT_WEIGHT_DATA_EXTENSION_NAME=\".weights.bin\",BrowserDownloads=function(){function e(t){if(!ENV.get(\"IS_BROWSER\"))throw new Error(\"triggerDownloads() cannot proceed because the current environment is not a browser.\");t.startsWith(e.URL_SCHEME)&&(t=t.slice(e.URL_SCHEME.length)),null!=t&&0!==t.length||(t=DEFAULT_FILE_NAME_PREFIX),this.modelTopologyFileName=t+DEFAULT_JSON_EXTENSION_NAME,this.weightDataFileName=t+DEFAULT_WEIGHT_DATA_EXTENSION_NAME}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a,o,i;return __generator(this,function(s){if(t=window.URL.createObjectURL(new Blob([e.weightData],{type:\"application/octet-stream\"})),e.modelTopology instanceof ArrayBuffer)throw new Error(\"DownloadTrigger.save() does not support saving model topology in binary formats yet.\");return n=[{paths:[\"./\"+this.weightDataFileName],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:\"application/json\"})),(o=null==this.jsonAnchor?document.createElement(\"a\"):this.jsonAnchor).download=this.modelTopologyFileName,o.href=a,o.click(),null!=e.weightData&&((i=null==this.weightDataAnchor?document.createElement(\"a\"):this.weightDataAnchor).download=this.weightDataFileName,i.href=t,i.click()),[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e)}]})})},e.URL_SCHEME=\"downloads://\",e}(),BrowserFiles=function(){function e(e){if(null==e||e.length<1)throw new Error(\"When calling browserFiles, at least 1 file is required, but received \"+e);this.files=e}return e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n=this;return __generator(this,function(r){return e=this.files[0],t=this.files.slice(1),[2,new Promise(function(r,a){var o=new FileReader;o.onload=function(o){var i=JSON.parse(o.target.result),s=i.modelTopology;if(null!=s){0===t.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var l;try{l=n.checkManifestAndWeightFiles(u,t)}catch(e){return void a(e)}var c=[],d=[],p=[];u.forEach(function(e){e.paths.forEach(function(e){d.push(e),p.push(null)}),c.push.apply(c,e.weights)}),u.forEach(function(e){e.paths.forEach(function(e){var t=new FileReader;t.onload=function(t){var n=t.target.result,a=d.indexOf(e);p[a]=n,-1===p.indexOf(null)&&r({modelTopology:s,weightSpecs:c,weightData:concatenateArrayBuffers(p)})},t.onerror=function(t){a(\"Failed to weights data from file of path '\"+e+\"'.\")},t.readAsArrayBuffer(l[e])})})}else a(new Error(\"weightManifest field is missing from file \"+e.name))}else a(new Error(\"modelTopology field is missing from file \"+e.name))},o.onerror=function(t){a(\"Failed to read model topology and weights manifest JSON from file '\"+e.name+\"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.\")},o.readAsText(e)})]})})},e.prototype.checkManifestAndWeightFiles=function(e,t){for(var n=[],r=t.map(function(e){return basename(e.name)}),a={},o=0,i=e;o<i.length;o++){i[o].paths.forEach(function(e){var o=basename(e);if(-1!==n.indexOf(o))throw new Error(\"Duplicate file basename found in weights manifest: '\"+o+\"'\");if(n.push(o),-1===r.indexOf(o))throw new Error(\"Weight file with basename '\"+o+\"' is not provided.\");a[e]=t[r.indexOf(o)]})}if(n.length!==t.length)throw new Error(\"Mismatch in the number of files in weights manifest (\"+n.length+\") and the number of weight files provided (\"+t.length+\").\");return a},e}(),browserDownloadsRouter=function(e){return ENV.get(\"IS_BROWSER\")&&e.startsWith(BrowserDownloads.URL_SCHEME)?browserDownloads(e.slice(BrowserDownloads.URL_SCHEME.length)):null};function browserDownloads(e){return void 0===e&&(e=\"model\"),new BrowserDownloads(e)}function browserFiles(e){return new BrowserFiles(e)}function loadWeightsAsArrayBuffer(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(a){switch(a.label){case 0:return n=e.map(function(e){return fetch(e,t)}),[4,Promise.all(n)];case 1:return r=a.sent(),[4,Promise.all(r.map(function(e){return e.arrayBuffer()}))];case 2:return[2,a.sent()]}})})}function loadWeights(e,t,n,r){return void 0===t&&(t=\"\"),__awaiter(this,void 0,void 0,function(){var a,o,i,s,u,l,c,d,p,h;return __generator(this,function(f){switch(f.label){case 0:if(a=e.map(function(){return!1}),o={},i=null!=n?n.map(function(){return!1}):[],s=[],e.forEach(function(e,t){var r=0;e.weights.forEach(function(e){var u=\"quantization\"in e?e.quantization.dtype:e.dtype,l=DTYPE_VALUE_SIZE_MAP[u]*sizeFromShape(e.shape),c=function(){a[t]=!0,null==o[t]&&(o[t]=[]),o[t].push({manifestEntry:e,groupOffset:r,sizeBytes:l})};null!=n?n.forEach(function(t,n){t===e.name&&(c(),i[n]=!0)}):c(),s.push(e.name),r+=l})}),!i.every(function(e){return e}))throw u=n.filter(function(e,t){return!i[t]}),new Error(\"Could not find weights in manifest with names: \"+u.join(\", \")+\". \\nManifest JSON has weights with names: \"+s.join(\", \")+\".\");return l=a.reduce(function(e,t,n){return t&&e.push(n),e},[]),c=[],l.forEach(function(n){e[n].paths.forEach(function(e){var n=t+(t.endsWith(\"/\")?\"\":\"/\")+e;c.push(n)})}),[4,loadWeightsAsArrayBuffer(c,r)];case 1:return d=f.sent(),p={},h=0,l.forEach(function(t){for(var n=e[t].paths.length,r=0,a=0;a<n;a++)r+=d[h+a].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,l=0;l<n;l++){var c=new Uint8Array(d[h+l]);s.set(c,u),u+=c.byteLength}o[t].forEach(function(e){var t,n=i.slice(e.groupOffset,e.groupOffset+e.sizeBytes),r=e.manifestEntry.dtype;if(\"quantization\"in e.manifestEntry){var a=e.manifestEntry.quantization;if(\"uint8\"!==a.dtype&&\"uint16\"!==a.dtype)throw new Error(\"Weight \"+e.manifestEntry.name+\" has unknown quantization dtype \"+a.dtype+\".\");var o=\"uint8\"===a.dtype?new Uint8Array(n):new Uint16Array(n);if(\"float32\"===r)t=Float32Array.from(o,function(e){return e*a.scale+a.min});else{if(\"int32\"!==r)throw new Error(\"Weight \"+e.manifestEntry.name+\" has a dtype not supported by quantization: \"+r);t=Int32Array.from(o,function(e){return Math.round(e*a.scale+a.min)})}}else if(\"float32\"===r)t=new Float32Array(n);else{if(\"int32\"!==r)throw new Error(\"Weight \"+e.manifestEntry.name+\" has unknown dtype \"+r+\".\");t=new Int32Array(n)}var s=e.manifestEntry.name;if(null!=p[s])throw new Error(\"Duplicate weight with name \"+s+\". Please make sure weights names are unique in the manifest JSON.\");p[s]=tensor(t,e.manifestEntry.shape,e.manifestEntry.dtype)}),h+=n}),[2,p]}})})}IORouterRegistry.registerSaveRouter(browserDownloadsRouter);var BrowserHTTPRequest=function(){function e(e,t){if(this.DEFAULT_METHOD=\"POST\",!ENV.get(\"IS_BROWSER\"))throw new Error(\"browserHTTPRequest is not supported outside the web browser.\");if(assert(null!=e&&e.length>0,\"URL path for browserHTTPRequest must not be null, undefined or empty.\"),this.path=e,null!=t&&null!=t.body)throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");this.requestInit=t||{}}return e.prototype.save=function(e){return __awaiter(this,void 0,void 0,function(){var t,n,r,a;return __generator(this,function(o){switch(o.label){case 0:if(e.modelTopology instanceof ArrayBuffer)throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");return(t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:[\"./model.weights.bin\"],weights:e.weightSpecs}],r={modelTopology:e.modelTopology,weightsManifest:n},t.body.append(\"model.json\",new Blob([JSON.stringify(r)],{type:\"application/json\"}),\"model.json\"),null!=e.weightData&&t.body.append(\"model.weights.bin\",new Blob([e.weightData],{type:\"application/octet-stream\"}),\"model.weights.bin\"),[4,fetch(this.path,t)];case 1:if(200===(a=o.sent()).status)return[2,{modelArtifactsInfo:getModelArtifactsInfoForJSON(e),responses:[a]}];throw new Error(\"BrowserHTTPRequest.save() failed due to HTTP response status \"+a.status+\".\")}})})},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,n,r,a,o,i,s,u,l,c,d;return __generator(this,function(p){switch(p.label){case 0:return[4,fetch(this.path,this.requestInit)];case 1:return[4,p.sent().json()];case 2:if(e=p.sent(),t=e.modelTopology,n=e.weightsManifest,null==t&&null==n)throw new Error(\"The JSON from HTTP path \"+this.path+\" contains neither model topology or manifest for weights.\");if(null==n)return[3,4];for(o=e.weightsManifest,r=[],i=0,s=o;i<s.length;i++)u=s[i],r.push.apply(r,u.weights);return(l=this.path.substring(0,this.path.lastIndexOf(\"/\"))).endsWith(\"/\")||(l+=\"/\"),c=[],o.forEach(function(e){e.paths.forEach(function(e){c.push(l+e)})}),d=concatenateArrayBuffers,[4,loadWeightsAsArrayBuffer(c,this.requestInit)];case 3:a=d.apply(void 0,[p.sent()]),p.label=4;case 4:return[2,{modelTopology:t,weightSpecs:r,weightData:a}]}})})},e.URL_SCHEMES=[\"http://\",\"https://\"],e}(),httpRequestRouter=function(e){if(ENV.get(\"IS_BROWSER\")){for(var t=0,n=BrowserHTTPRequest.URL_SCHEMES;t<n.length;t++){var r=n[t];if(e.startsWith(r))return browserHTTPRequest(e)}return null}return null};function browserHTTPRequest(e,t){return new BrowserHTTPRequest(e,t)}IORouterRegistry.registerSaveRouter(httpRequestRouter),IORouterRegistry.registerLoadRouter(httpRequestRouter);var registerSaveRouter=IORouterRegistry.registerSaveRouter,registerLoadRouter=IORouterRegistry.registerLoadRouter,getSaveHandlers=IORouterRegistry.getSaveHandlers,getLoadHandlers=IORouterRegistry.getLoadHandlers,copyModel=ModelManagement.copyModel,listModels=ModelManagement.listModels,moveModel=ModelManagement.moveModel,removeModel=ModelManagement.removeModel,io=Object.freeze({browserFiles:browserFiles,browserHTTPRequest:browserHTTPRequest,concatenateArrayBuffers:concatenateArrayBuffers,copyModel:copyModel,decodeWeights:decodeWeights,encodeWeights:encodeWeights,getLoadHandlers:getLoadHandlers,getModelArtifactsInfoForJSON:getModelArtifactsInfoForJSON,getSaveHandlers:getSaveHandlers,listModels:listModels,loadWeights:loadWeights,moveModel:moveModel,registerLoadRouter:registerLoadRouter,registerSaveRouter:registerSaveRouter,removeModel:removeModel}),Serializable=function(){function e(){}return e.prototype.getClassName=function(){return this.constructor.className},e.fromConfig=function(e,t){return new e(t)},e}(),SerializationMap=function(){function e(){this.classNameMap={}}return e.getMap=function(){return null==e.instance&&(e.instance=new e),e.instance},e.register=function(e){this.getMap().classNameMap[e.className]=[e,e.fromConfig]},e}(),serialization=Object.freeze({Serializable:Serializable,SerializationMap:SerializationMap}),WEBGL_ENVS=[{BACKEND:\"test-webgl\",WEBGL_RENDER_FLOAT32_ENABLED:!0,WEBGL_DOWNLOAD_FLOAT_ENABLED:!0,WEBGL_VERSION:1},{BACKEND:\"test-webgl\",WEBGL_RENDER_FLOAT32_ENABLED:!0,WEBGL_DOWNLOAD_FLOAT_ENABLED:!0,WEBGL_VERSION:2}],CPU_ENVS=[{BACKEND:\"test-cpu\"}],CHROME_CPU_ENVS=[{BACKEND:\"test-cpu\",IS_CHROME:!0}],NATIVE_ENV={},BROWSER_ENVS=WEBGL_ENVS.concat(CPU_ENVS),ALL_ENVS=[NATIVE_ENV].concat(BROWSER_ENVS);function expectArraysClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),e instanceof Tensor||t instanceof Tensor){if(e instanceof Tensor&&t instanceof Tensor){if(e.dtype!==t.dtype)throw new Error(\"Arrays are of different type actual: \"+e.dtype+\" vs expected: \"+t.dtype+\".\");if(!arraysEqual(e.shape,t.shape))throw new Error(\"Arrays are of different shape actual: \"+e.shape+\" vs expected: \"+t.shape+\".\")}}else{var r=e.constructor.name,a=t.constructor.name;if(r!==a)throw new Error(\"Arrays are of different type actual: \"+r+\" vs expected: \"+a)}var o,i;if(o=e instanceof Tensor?e.dataSync():e,i=t instanceof Tensor?t.dataSync():t,o.length!==i.length)throw new Error(\"Arrays have different lengths actual: \"+o.length+\" vs expected: \"+i.length+\".\\nActual:   \"+o+\".\\nExpected: \"+i+\".\");for(var s=0;s<i.length;++s){var u=o[s],l=i[s];if(!areClose(u,Number(l),n))throw new Error(\"Arrays differ: actual[\"+s+\"] = \"+u+\", expected[\"+s+\"] = \"+l+\".\\nActual:   \"+o+\".\\nExpected: \"+i+\".\")}}function expectPromiseToFail(e,t){e().then(function(){return t.fail()},function(){return t()})}function expectArraysEqual(e,t){return expectArraysClose(e,t,0)}function expectNumbersClose(e,t,n){if(null==n&&(n=ENV.get(\"TEST_EPSILON\")),!areClose(e,t,n))throw new Error(\"Numbers differ: actual === \"+e+\", expected === \"+t)}function areClose(e,t,n){return!(!isNaN(e)||!isNaN(t))||!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function expectValuesInRange(e,t,n){var r;r=e instanceof Tensor?e.dataSync():e;for(var a=0;a<r.length;a++)if(r[a]<t||r[a]>n)throw new Error(\"Value out of range:\"+r[a]+\" low: \"+t+\", high: \"+n)}function expectArrayBuffersEqual(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var test_util=Object.freeze({WEBGL_ENVS:WEBGL_ENVS,CPU_ENVS:CPU_ENVS,CHROME_CPU_ENVS:CHROME_CPU_ENVS,NATIVE_ENV:NATIVE_ENV,BROWSER_ENVS:BROWSER_ENVS,ALL_ENVS:ALL_ENVS,expectArraysClose:expectArraysClose,expectPromiseToFail:expectPromiseToFail,expectArraysEqual:expectArraysEqual,expectNumbersClose:expectNumbersClose,expectValuesInRange:expectValuesInRange,expectArrayBuffersEqual:expectArrayBuffersEqual}),version=\"0.11.9\",webgl=Object.freeze({gpgpu_util:gpgpu_util,webgl_util:webgl_util,MathBackendWebGL:MathBackendWebGL,GPGPUContext:GPGPUContext}),Optimizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.minimize=function(e,t,n){void 0===t&&(t=!1);var r=this.computeGradients(e,n),a=r.value,o=r.grads;return this.applyGradients(o),Object.keys(o).forEach(function(e){return o[e].dispose()}),t?a:(a.dispose(),null)},t.prototype.computeGradients=function(e,t){return variableGrads(e,t)},__decorate([doc({heading:\"Training\",subheading:\"Optimizers\"})],t.prototype,\"minimize\",null),t=__decorate([doc({heading:\"Training\",subheading:\"Classes\",namespace:\"train\"})],t)}(Serializable),DEFAULT_FLOAT32_EPSILON=1e-8,DEFAULT_FLOAT16_EPSILON=1e-4;function getOptimizerDefaultEpsilonValue(){return ENV.get(\"WEBGL_RENDER_FLOAT32_ENABLED\")?DEFAULT_FLOAT32_EPSILON:DEFAULT_FLOAT16_EPSILON}var AdadeltaOptimizer=function(e){function t(t,n,r){void 0===r&&(r=null);var a=e.call(this)||this;return a.learningRate=t,a.rho=n,a.epsilon=r,a.accumulatedGrads={},a.accumulatedUpdates={},a.c=keep(scalar(-t)),a.rhoScalar=keep(scalar(n)),a.oneMinusRho=keep(scalar(1-n)),null===r&&(r=getOptimizerDefaultEpsilonValue()),a.epsilonScalar=keep(scalar(r)),a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=zerosLike(a).variable(!1)})}if(null==r.accumulatedUpdates[n]){tidy(function(){t.accumulatedUpdates[n]=zerosLike(a).variable(!1)})}var o=e[n],i=r.accumulatedGrads[n],s=r.accumulatedUpdates[n];tidy(function(){var e=t.rhoScalar.mul(i).add(t.oneMinusRho.mul(o.square())),r=s.add(t.epsilonScalar).sqrt().div(i.add(t.epsilonScalar).sqrt()).mul(o),u=t.rhoScalar.mul(s).add(t.oneMinusRho.mul(r.square()));t.accumulatedGrads[n].assign(e),t.accumulatedUpdates[n].assign(u);var l=t.c.mul(r).add(a);a.assign(l)})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.rhoScalar.dispose(),this.oneMinusRho.dispose(),null!=this.accumulatedUpdates&&(Object.keys(this.accumulatedUpdates).forEach(function(t){return e.accumulatedUpdates[t].dispose()}),Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()}))},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.rho,t.epsilon)},t.className=\"AdadeltaOptimizer\",t}(Optimizer);SerializationMap.register(AdadeltaOptimizer);var AdagradOptimizer=function(e){function t(t,n){void 0===n&&(n=.1);var r=e.call(this)||this;r.learningRate=t,r.initialAccumulatorValue=n,r.accumulatedGrads={},r.c=keep(scalar(-t));var a=getOptimizerDefaultEpsilonValue();return r.epsilon=keep(scalar(a)),r}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulatedGrads[n]){tidy(function(){t.accumulatedGrads[n]=fill(a.shape,t.initialAccumulatorValue).variable(!1)})}var o=e[n],i=r.accumulatedGrads[n];tidy(function(){var e=i.add(o.square());t.accumulatedGrads[n].assign(e);var r=t.c.mul(o.div(e.add(t.epsilon).sqrt())).add(a);a.assign(r)})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){var e=this;this.epsilon.dispose(),this.c.dispose(),null!=this.accumulatedGrads&&Object.keys(this.accumulatedGrads).forEach(function(t){return e.accumulatedGrads[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,t){return new e(t.learningRate,t.initialAccumulatorValue)},t.className=\"AdagradOptimizer\",t}(Optimizer);SerializationMap.register(AdagradOptimizer);var AdamOptimizer=function(e){function t(t,n,r,a){void 0===a&&(a=null);var o=e.call(this)||this;return o.learningRate=t,o.beta1=n,o.beta2=r,o.epsilon=a,o.accumulatedFirstMoment={},o.accumulatedSecondMoment={},o.c=keep(scalar(-t)),o.beta1Scalar=keep(scalar(n)),o.beta2Scalar=keep(scalar(r)),tidy(function(){o.accBeta1=scalar(n).variable(),o.accBeta2=scalar(r).variable()}),o.oneMinusBeta1=keep(scalar(1-n)),o.oneMinusBeta2=keep(scalar(1-r)),o.one=keep(scalar(1)),null===a&&(a=getOptimizerDefaultEpsilonValue()),o.epsScalar=keep(scalar(a)),o}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.one.sub(t.accBeta2);for(var a in e){var o=ENV.engine.registeredVariables[a];if(null==t.accumulatedFirstMoment[a]){var i=!1;t.accumulatedFirstMoment[a]=zerosLike(o).variable(i)}if(null==t.accumulatedSecondMoment[a]){i=!1;t.accumulatedSecondMoment[a]=zerosLike(o).variable(i)}var s=e[a],u=t.accumulatedFirstMoment[a],l=t.accumulatedSecondMoment[a],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),d=t.beta2Scalar.mul(l).add(t.oneMinusBeta2.mul(s.square())),p=c.div(n),h=d.div(r);t.accumulatedFirstMoment[a].assign(c),t.accumulatedSecondMoment[a].assign(d);var f=t.c.mul(p.div(t.epsScalar.add(h.sqrt()))).add(o);o.assign(f)}t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar)),t.accBeta2.assign(t.accBeta2.mul(t.beta2Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.accBeta1.dispose(),this.accBeta2.dispose(),this.oneMinusBeta1.dispose(),this.oneMinusBeta2.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedSecondMoment&&Object.keys(this.accumulatedSecondMoment).forEach(function(t){return e.accumulatedSecondMoment[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)},t.className=\"AdamOptimizer\",t}(Optimizer);SerializationMap.register(AdamOptimizer);var AdamaxOptimizer=function(e){function t(t,n,r,a,o){void 0===a&&(a=null),void 0===o&&(o=0);var i=e.call(this)||this;return i.learningRate=t,i.beta1=n,i.beta2=r,i.epsilon=a,i.decay=o,i.accumulatedFirstMoment={},i.accumulatedWeightedInfNorm={},i.c=keep(scalar(-t)),i.beta1Scalar=keep(scalar(n)),i.beta2Scalar=keep(scalar(r)),i.decayScalar=keep(scalar(o)),tidy(function(){i.iteration=scalar(0).variable(),i.accBeta1=scalar(n).variable()}),i.oneMinusBeta1=keep(scalar(1-n)),i.one=keep(scalar(1)),null===a&&(a=getOptimizerDefaultEpsilonValue()),i.epsScalar=keep(scalar(a)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;tidy(function(){var n=t.one.sub(t.accBeta1),r=t.c.div(t.one.add(t.decayScalar.mul(t.iteration)));for(var a in e){var o=ENV.engine.registeredVariables[a];if(null==t.accumulatedFirstMoment[a]){var i=!1;t.accumulatedFirstMoment[a]=zerosLike(o).variable(i)}if(null==t.accumulatedWeightedInfNorm[a]){i=!1;t.accumulatedWeightedInfNorm[a]=zerosLike(o).variable(i)}var s=e[a],u=t.accumulatedFirstMoment[a],l=t.accumulatedWeightedInfNorm[a],c=t.beta1Scalar.mul(u).add(t.oneMinusBeta1.mul(s)),d=t.beta2Scalar.mul(l),p=s.abs(),h=d.maximum(p);t.accumulatedFirstMoment[a].assign(c),t.accumulatedWeightedInfNorm[a].assign(h);var f=r.div(n).mul(c.div(t.epsScalar.add(h))).add(o);o.assign(f)}t.iteration.assign(t.iteration.add(t.one)),t.accBeta1.assign(t.accBeta1.mul(t.beta1Scalar))})},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsScalar.dispose(),this.accBeta1.dispose(),this.beta1Scalar.dispose(),this.beta2Scalar.dispose(),this.oneMinusBeta1.dispose(),this.decayScalar.dispose(),this.iteration.dispose(),this.one.dispose(),null!=this.accumulatedFirstMoment&&Object.keys(this.accumulatedFirstMoment).forEach(function(t){return e.accumulatedFirstMoment[t].dispose()}),null!=this.accumulatedWeightedInfNorm&&Object.keys(this.accumulatedWeightedInfNorm).forEach(function(t){return e.accumulatedWeightedInfNorm[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)},t.className=\"AdamaxOptimizer\",t}(Optimizer);SerializationMap.register(AdamaxOptimizer);var SGDOptimizer=function(e){function t(t){var n=e.call(this)||this;return n.learningRate=t,n.setLearningRate(t),n}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this;Object.keys(e).forEach(function(n){var r=e[n],a=ENV.engine.registeredVariables[n];tidy(function(){var e=t.c.mul(r).add(a);a.assign(e)})})},t.prototype.setLearningRate=function(e){this.learningRate=e,null!=this.c&&this.c.dispose(),this.c=keep(scalar(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,t){return new e(t.learningRate)},t.className=\"SGDOptimizer\",t}(Optimizer);SerializationMap.register(SGDOptimizer);var MomentumOptimizer=function(e){function t(t,n,r){void 0===r&&(r=!1);var a=e.call(this,t)||this;return a.learningRate=t,a.momentum=n,a.useNesterov=r,a.m=scalar(a.momentum),a.accumulations={},a}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulations[n]){tidy(function(){t.accumulations[n]=zerosLike(a).variable(!1)})}var o=r.accumulations[n],i=e[n];tidy(function(){var e,r=t.m.mul(o).add(i);e=t.useNesterov?t.c.mul(i.add(r.mul(t.m))).add(a):t.c.mul(r).add(a),t.accumulations[n].assign(r),a.assign(e)})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){if(e.prototype.dispose.call(this),this.m.dispose(),null!=this.accumulations)for(var t in this.accumulations)this.accumulations[t].dispose()},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)},t.className=\"MomentumOptimizer\",t}(SGDOptimizer);SerializationMap.register(MomentumOptimizer);var RMSPropOptimizer=function(e){function t(t,n,r,a,o){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===a&&(a=null),void 0===o&&(o=!1);var i=e.call(this)||this;return i.learningRate=t,i.decay=n,i.momentum=r,i.epsilon=a,i.accumulatedMeanSquares={},i.accumulatedMeanGrads={},i.accumulatedMoments={},i.c=keep(scalar(t)),i.decayScalar=keep(scalar(n)),i.momentumScalar=keep(scalar(r)),i.oneMinusDecay=keep(scalar(1-n)),i.centered=o,null===a&&(a=getOptimizerDefaultEpsilonValue()),i.epsilonScalar=keep(scalar(a)),i}return __extends(t,e),t.prototype.applyGradients=function(e){var t=this,n=function(n){var a=ENV.engine.registeredVariables[n];if(null==r.accumulatedMeanSquares[n]){tidy(function(){t.accumulatedMeanSquares[n]=zerosLike(a).variable(!1)})}if(null==r.accumulatedMeanGrads[n]&&r.centered){tidy(function(){t.accumulatedMeanGrads[n]=zerosLike(a).variable(!1)})}if(null==r.accumulatedMoments[n]){tidy(function(){t.accumulatedMoments[n]=zerosLike(a).variable(!1)})}var o=r.accumulatedMeanSquares[n],i=r.accumulatedMeanGrads[n],s=r.accumulatedMoments[n],u=e[n];tidy(function(){var e=t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));if(t.centered){var r=t.decayScalar.mul(i).add(t.oneMinusDecay.mul(u)),l=t.momentumScalar.mul(s).add(t.c.mul(u).div(e.sub(r.square().add(t.epsilonScalar)).sqrt()));t.accumulatedMeanSquares[n].assign(e),t.accumulatedMeanGrads[n].assign(r),t.accumulatedMoments[n].assign(l);var c=a.sub(l);a.assign(c)}else{var d=t.decayScalar.mul(o).add(t.oneMinusDecay.mul(u.square()));l=t.momentumScalar.mul(s).add(t.c.mul(u).div(d.add(t.epsilonScalar).sqrt()));t.accumulatedMeanSquares[n].assign(d),t.accumulatedMoments[n].assign(l);c=a.sub(l);a.assign(c)}})},r=this;for(var a in e)n(a)},t.prototype.dispose=function(){var e=this;this.c.dispose(),this.epsilonScalar.dispose(),this.decayScalar.dispose(),this.momentumScalar.dispose(),this.oneMinusDecay.dispose(),null!=this.accumulatedMeanSquares&&Object.keys(this.accumulatedMeanSquares).forEach(function(t){return e.accumulatedMeanSquares[t].dispose()}),null!=this.accumulatedMeanGrads&&this.centered&&Object.keys(this.accumulatedMeanGrads).forEach(function(t){return e.accumulatedMeanGrads[t].dispose()}),null!=this.accumulatedMoments&&Object.keys(this.accumulatedMoments).forEach(function(t){return e.accumulatedMoments[t].dispose()})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)},t.className=\"RMSPropOptimizer\",t}(Optimizer);SerializationMap.register(RMSPropOptimizer);var OptimizerConstructors=function(){function e(){}return e.sgd=function(e){return new SGDOptimizer(e)},e.momentum=function(e,t,n){return void 0===n&&(n=!1),new MomentumOptimizer(e,t,n)},e.rmsprop=function(e,t,n,r,a){return void 0===t&&(t=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===a&&(a=!1),new RMSPropOptimizer(e,t,n,r,a)},e.adam=function(e,t,n,r){return void 0===e&&(e=.001),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new AdamOptimizer(e,t,n,r)},e.adadelta=function(e,t,n){return void 0===e&&(e=.001),void 0===t&&(t=.95),void 0===n&&(n=null),new AdadeltaOptimizer(e,t,n)},e.adamax=function(e,t,n,r,a){return void 0===e&&(e=.002),void 0===t&&(t=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===a&&(a=0),new AdamaxOptimizer(e,t,n,r,a)},e.adagrad=function(e,t){return void 0===t&&(t=.1),new AdagradOptimizer(e,t)},__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"sgd\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"momentum\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"rmsprop\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"adam\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"adadelta\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"adamax\",null),__decorate([doc({heading:\"Training\",subheading:\"Optimizers\",namespace:\"train\"})],e,\"adagrad\",null),e}(),train={sgd:OptimizerConstructors.sgd,momentum:OptimizerConstructors.momentum,adadelta:OptimizerConstructors.adadelta,adagrad:OptimizerConstructors.adagrad,rmsprop:OptimizerConstructors.rmsprop,adamax:OptimizerConstructors.adamax,adam:OptimizerConstructors.adam},setBackend=Environment.setBackend,getBackend=Environment.getBackend,disposeVariables=Environment.disposeVariables,memory=Environment.memory,nextFrame=BrowserUtil.nextFrame;export{setBackend,getBackend,disposeVariables,memory,version as version_core,nextFrame,environment,io,serialization,test_util,util,webgl,AdadeltaOptimizer,AdagradOptimizer,AdamOptimizer,AdamaxOptimizer,MomentumOptimizer,Optimizer,RMSPropOptimizer,SGDOptimizer,Tensor,TensorBuffer,variable,Variable,Rank,Reduction,ENV,Environment,doc,batchNormalization,batchNormalization2d,batchNormalization3d,batchNormalization4d,concat,concat1d,concat2d,concat3d,concat4d,conv1d,conv2d,conv2dTranspose,depthwiseConv2d,separableConv2d,matMul,matrixTimesVector,outerProduct,vectorTimesMatrix,dot,avgPool,maxPool,transpose,reverse,reverse1d,reverse2d,reverse3d,reverse4d,slice,slice1d,slice2d,slice3d,slice4d,stridedSlice,argMax,argMin,logSumExp,max,mean,min,all,moments,sum,unsortedSegmentSum,equal,equalStrict,greater,greaterStrict,greaterEqual,greaterEqualStrict,less,lessStrict,lessEqual,lessEqualStrict,notEqual,notEqualStrict,logicalNot,logicalAnd,logicalOr,logicalXor,where,abs,acos,acosh,asin,asinh,atan,atanh,ceil,clipByValue,cos,cosh,elu,exp,expm1,floor,sign,leakyRelu,log,log1p,logSigmoid,neg,prelu,relu,reciprocal,round,selu,sigmoid,sin,sinh,softplus,sqrt,rsqrt,square,step,tan,tanh$1 as tanh,erf,add,addStrict,atan2,div,floorDiv,divStrict,maximum,maximumStrict,minimum,minimumStrict,mod,modStrict,mul,mulStrict,pow,powStrict,sub,subStrict,squaredDifference,squaredDifferenceStrict,norm,cast,clone,fromPixels,toPixels,ones,onesLike,zeros,zerosLike,eye,rand,randomNormal,truncatedNormal,randomUniform,multinomial,reshape,squeeze,tile,gather,oneHot,linspace,range,buffer,fill,tensor,scalar,tensor1d,tensor2d,tensor3d,tensor4d,tensor5d,tensor6d,print,expandDims,stack,unstack,split,cumsum,pad,pad1d,pad2d,pad3d,pad4d,movingAverage,basicLSTMCell,multiRNNCell,softmax,sigmoidCrossEntropyWithLogits,localResponseNormalization,linalg,losses,image,operation,train,tidy,keep,dispose,time,grad,valueAndGrad,grads,valueAndGrads,variableGrads,customGrad};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport{scalar,tidy,onesLike,Tensor,tensor1d,util,zerosLike,train,serialization,doc,mul,div,keep,Optimizer,add,mean,io,transpose,reverse,zeros,sum,neg,sqrt,clipByValue,relu,ones,randomUniform,truncatedNormal,eye,linalg,leakyRelu,elu,conv1d,conv2d,conv2dTranspose,separableConv2d,depthwiseConv2d,maximum,minimum,batchNormalization2d,batchNormalization3d,batchNormalization4d,moments,movingAverage,pad,maxPool,avgPool,squeeze,max,sub,abs,log,softplus,softmax,floor,oneHot,exp,greater,equal,argMax,slice1d,slice2d,slice3d,slice4d,concat,concat1d,concat2d,concat3d,concat4d,tile,randomNormal,matMul,gather,mulStrict,step,min,selu,sigmoid,tanh,variable}from\"@tensorflow/tfjs-core\";var extendStatics=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var n in t)t.hasOwnProperty(n)&&(e[n]=t[n])};function __extends(e,t){function n(){this.constructor=e}extendStatics(e,t),e.prototype=null===t?Object.create(t):(n.prototype=t.prototype,new n)}var __assign=Object.assign||function(e){for(var t,n=1,r=arguments.length;n<r;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e};function __decorate(e,t,n,r){var i,a=arguments.length,o=a<3?t:null===r?r=Object.getOwnPropertyDescriptor(t,n):r;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,n,r);else for(var s=e.length-1;s>=0;s--)(i=e[s])&&(o=(a<3?i(o):a>3?i(t,n,o):i(t,n))||o);return a>3&&o&&Object.defineProperty(t,n,o),o}function __awaiter(e,t,n,r){return new(n||(n=Promise))(function(i,a){function o(e){try{l(r.next(e))}catch(e){a(e)}}function s(e){try{l(r.throw(e))}catch(e){a(e)}}function l(e){e.done?i(e.value):new n(function(t){t(e.value)}).then(o,s)}l((r=r.apply(e,t||[])).next())})}function __generator(e,t){var n,r,i,a,o={label:0,sent:function(){if(1&i[0])throw i[1];return i[1]},trys:[],ops:[]};return a={next:s(0),throw:s(1),return:s(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function s(a){return function(s){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;o;)try{if(n=1,r&&(i=r[2&a[0]?\"return\":a[0]?\"throw\":\"next\"])&&!(i=i.call(r,a[1])).done)return i;switch(r=0,i&&(a=[0,i.value]),a[0]){case 0:case 1:i=a;break;case 4:return o.label++,{value:a[1],done:!1};case 5:o.label++,r=a[1],a=[0];continue;case 7:a=o.ops.pop(),o.trys.pop();continue;default:if(!(i=(i=o.trys).length>0&&i[i.length-1])&&(6===a[0]||2===a[0])){o=0;continue}if(3===a[0]&&(!i||a[1]>i[0]&&a[1]<i[3])){o.label=a[1];break}if(6===a[0]&&o.label<i[1]){o.label=i[1],i=a;break}if(i&&o.label<i[2]){o.label=i[2],o.ops.push(a);break}i[2]&&o.ops.pop(),o.trys.pop();continue}a=t.call(e,o)}catch(e){a=[6,e],r=0}finally{n=i=0}if(5&a[0])throw a[1];return{value:a[0]?a[1]:void 0,done:!0}}([a,s])}}}var AttributeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),RuntimeError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),ValueError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),NotImplementedError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),AssertionError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error),IndexError=function(e){function t(n){var r=e.call(this,n)||this;return Object.setPrototypeOf(r,t.prototype),r}return __extends(t,e),t}(Error);function pyListRepeat(e,t){if(Array.isArray(e)){for(var n=[],r=0;r<t;r++)n=n.concat(e);return n}return(n=new Array(t)).fill(e),n}function assert(e,t){if(!e)throw new AssertionError(t)}function count(e,t){for(var n=0,r=0,i=e;r<i.length;r++){i[r]===t&&n++}return n}function singletonOrArray(e){return 1===e.length?e[0]:e}function toList(e){return Array.isArray(e)?e:[e]}function isArrayOfShapes(e){return Array.isArray(e)&&Array.isArray(e[0])}function normalizeShapeList(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function toSnakeCase(e){var t=e.replace(/(.)([A-Z][a-z0-9]+)/g,\"$1_$2\").replace(/([a-z])([A-Z])/g,\"$1_$2\").toLowerCase();return\"_\"!==t[0]?t:\"private\"+t}function toCamelCase(e){return e.length<=1?e:-1===e.indexOf(\"_\")?e:e.replace(/[_]+(\\w|$)/g,function(e,t){return t.toUpperCase()})}var _GLOBAL_CUSTOM_OBJECTS={};function serializeKerasObject(e){return null===e||void 0===e?null:{className:e.getClassName(),config:e.getConfig()}}function deserializeKerasObject(e,t,n,r){if(void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r=\"object\"),\"string\"==typeof e){var i=e,a=void 0;if(i in n)a=n[i];else if(i in _GLOBAL_CUSTOM_OBJECTS)a=_GLOBAL_CUSTOM_OBJECTS[i];else if(null==(a=t[i]))throw new ValueError(\"Unknown \"+r+\": \"+e);return a}var o=e;if(null==o.className||null==o.config)throw new ValueError(r+\": Improper config format: \"+JSON.stringify(o)+\".\\n'className' and 'config' must set.\");var s=o.className,l=void 0,u=void 0;if(s in n?(l=(S=n.get(s))[0],u=S[1]):s in _GLOBAL_CUSTOM_OBJECTS?(l=(I=_GLOBAL_CUSTOM_OBJECTS.className)[0],u=I[1]):s in t&&(l=(_=t[s])[0],u=_[1]),null==l)throw new ValueError(\"Unknown \"+r+\": \"+s);if(null!=u){for(var c={},p=0,h=Object.keys(_GLOBAL_CUSTOM_OBJECTS);p<h.length;p++){c[v=h[p]]=_GLOBAL_CUSTOM_OBJECTS[v]}for(var d=0,g=Object.keys(n);d<g.length;d++){c[v=g[d]]=n[v]}o.config.customObjects=c;for(var f=__assign({},_GLOBAL_CUSTOM_OBJECTS),m=0,y=Object.keys(n);m<y.length;m++){var v=y[m];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var b=u(l,o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}f=__assign({},_GLOBAL_CUSTOM_OBJECTS);for(var z=0,w=Object.keys(n);z<w.length;z++){v=w[z];_GLOBAL_CUSTOM_OBJECTS[v]=n[v]}var S,I,_;b=new l(o.config);return _GLOBAL_CUSTOM_OBJECTS=__assign({},f),b}function getExactlyOneTensor(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new ValueError(\"Expected Tensor length to be 1; got \"+e.length);t=e[0]}else t=e;return t}function getExactlyOneShape(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new ValueError(\"Expected exactly 1 Shape; got \"+e.length)}return e}function numberCompare(e,t){return e<t?-1:e>t?1:0}function reverseNumberCompare(e,t){return-1*numberCompare(e,t)}function stringToDType(e){switch(e){case\"float32\":return\"float32\";default:throw new ValueError(\"Invalid dtype: \"+e)}}function unique(e){if(null==e)return e;for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];-1===t.indexOf(i)&&t.push(i)}return t}function isObjectEmpty(e){if(null==e)throw new ValueError(\"Invalid value in obj: \"+JSON.stringify(e));for(var t in e)if(e.hasOwnProperty(t))return!1;return!0}function checkStringTypeUnionValue(e,t,n){if(null!=n&&e.indexOf(n)<0)throw new ValueError(n+\" is not a valid \"+t+\".  Valid values are \"+e+\" or null/undefined.\")}function checkArrayTypeAndLength(e,t,n,r){return void 0===n&&(n=0),void 0===r&&(r=1/0),assert(n>=0),assert(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(function(e){return typeof e===t})}function countParamsInWeights(e){for(var t=0,n=0,r=e;n<r.length;n++){var i=r[n];0===i.shape.length?t+=1:t+=i.shape.reduce(function(e,t){return e*t})}return t}var nameMap=new Map,VALID_DATA_FORMAT_VALUES=[\"channelsFirst\",\"channelsLast\"];function checkDataFormat(e){checkStringTypeUnionValue(VALID_DATA_FORMAT_VALUES,\"DataFormat\",e)}var VALID_PADDING_MODE_VALUES=[\"valid\",\"same\",\"causal\"];function checkPaddingMode(e){checkStringTypeUnionValue(VALID_PADDING_MODE_VALUES,\"PaddingMode\",e)}var VALID_POOL_MODE_VALUES=[\"max\",\"avg\"];function checkPoolMode(e){checkStringTypeUnionValue(VALID_POOL_MODE_VALUES,\"PoolMode\",e)}var _nameScopeStack=[],_nameScopeDivider=\"/\";function nameScope(e,t){_nameScopeStack.push(e);try{var n=t();return _nameScopeStack.pop(),n}catch(e){throw _nameScopeStack.pop(),e}}function currentNameScopePrefix(){return 0===_nameScopeStack.length?\"\":_nameScopeStack.join(_nameScopeDivider)+_nameScopeDivider}function getScopedTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");return currentNameScopePrefix()+e}function getUniqueTensorName(e){if(!isValidTensorName(e))throw new Error(\"Not a valid tensor name: '\"+e+\"'\");nameMap.has(e)||nameMap.set(e,0);var t=nameMap.get(e);if(nameMap.set(e,nameMap.get(e)+1),t>0){var n=e+\"_\"+t;return nameMap.set(n,1),n}return e}var tensorNameRegex=new RegExp(/^[A-Za-z][A-Za-z0-9\\._\\/]*$/);function isValidTensorName(e){return!!e.match(tensorNameRegex)}function isInteger(e){return e===parseInt(e.toString(),10)}function arrayProd(e,t,n){null==t&&(t=0),null==n&&(n=e.length);for(var r=1,i=t;i<n;++i)r*=e[i];return r}function toArray1D(e){return e=Array.isArray(e)?new Float32Array(e):e,tensor1d(e)}function min$1(e){return min(toArray1D(e)).dataSync()[0]}function max$1(e){return max(toArray1D(e)).dataSync()[0]}function range(e,t){if(t<e)throw new ValueError(\"end (\"+t+\") < begin (\"+e+\") is forbidden.\");for(var n=[],r=e;r<t;++r)n.push(r);return n}var _nextUniqueTensorId=0;function getNextUniqueTensorId(){return _nextUniqueTensorId++}var SymbolicTensor=function(){function e(e,t,n,r,i,a,o){this.dtype=e,this.shape=t,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=o,this.id=getNextUniqueTensorId(),null!=a&&(this.originalName=getScopedTensorName(a),this.name=getUniqueTensorName(this.originalName)),this.rank=t.length}return e=__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],e)}(),DEFAULT_VARIABLE_NAME_PREFIX=\"Variable\",LayerVariable=function(){function e(e,t,n,r,i){void 0===t&&(t=\"float32\"),void 0===n&&(n=DEFAULT_VARIABLE_NAME_PREFIX),void 0===r&&(r=!0),void 0===i&&(i=null),this.dtype=null==t?\"float32\":t,this.shape=e.shape,this.id=getNextUniqueTensorId(),n=null==n?DEFAULT_VARIABLE_NAME_PREFIX:n,this.originalName=getScopedTensorName(n),this.name=getUniqueTensorName(this.originalName),this.trainable=r,this.constraint=i,this.val=variable(e,this.trainable,this.name,this.dtype)}return e.prototype.read=function(){return this.val},e.prototype.write=function(e){return checkShapesMatch(this.val,e),this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val)),this},e}();function checkShapesMatch(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error(\"Shape mismatch: \"+JSON.stringify(e.shape)+\" vs. \"+JSON.stringify(t.shape))}function batchGetValue(e){return e.map(function(e){return e.read()})}function batchSetValue(e){e.map(function(e){e[0].write(e[1])})}var _epsilon=1e-7;function epsilon(){return _epsilon}function imageDataFormat(){return\"channelsLast\"}var DEFAULT_DTYPE=\"float32\",scalarCache={float32:{},int32:{}};function getScalar(e,t){return void 0===t&&(t=DEFAULT_DTYPE),null==scalarCache[t][e]&&(scalarCache[t][e]=scalar(e,t),keep(scalarCache[t][e])),scalarCache[t][e]}var epsilon$1=epsilon;function shape(e){return e.shape}function intShape(e){return e.shape}function dtype(e){return e instanceof Tensor?DEFAULT_DTYPE:e.dtype}function cast(e,t){return e.asType(t)}function expandDims(e,t){void 0===t&&(t=-1);var n=shape(e).slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),e.reshape(n)}function repeat(e,t){return tidy(function(){if(2!==e.shape.length)throw new ValueError(\"repeat() expects a rank-2 tensor, but received a rank-\"+e.shape.length+\" tensor.\");return tile$1(expandDims(e,1),[1,t,1])})}function flatten(e){var t=[arrayProd(e.shape)];return e.reshape(t)}function batchFlatten(e){if(e.rank<=1)throw new ValueError(\"batchFlatten requires a minimum rank of 2. Got rank: \"+e.rank+\".\");var t=[e.shape[0],arrayProd(e.shape,1)];return e.reshape(t)}function sliceAlongFirstAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[t,0],[n,e.shape[1]]);case 3:return slice3d(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return slice4d(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);default:throw new ValueError(\"sliceAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongLastAxis(e,t,n){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:return slice2d(e,[0,t],[e.shape[0],n]);case 3:return slice3d(e,[0,0,t],[e.shape[0],e.shape[1],n]);case 4:return slice4d(e,[0,0,0,t],[e.shape[0],e.shape[1],e.shape[2],n]);default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function sliceAlongAxis(e,t,n,r){return tidy(function(){switch(e.rank){case 1:return slice1d(e,t,n);case 2:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 3:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice3d(e,[0,t,0],[e.shape[0],n,e.shape[2]]);case 3:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}case 4:switch(r){case 1:return sliceAlongFirstAxis(e,t,n);case 2:return slice4d(e,[0,t,0,0],[e.shape[0],n,e.shape[2],e.shape[3]]);case 3:return slice4d(e,[0,0,t,0],[e.shape[0],e.shape[1],n,e.shape[3]]);case 4:return sliceAlongLastAxis(e,t,n);default:throw new ValueError(\"The axis is not within the rank of the tensor \"+r)}default:throw new ValueError(\"sliceAlongLastAxis() received an unsupported tensor rank: \"+e.rank)}})}function concatenate(e,t){var n;return void 0===t&&(t=-1),t<0&&(t=0!==(n=e[0].rank)?n:0),t===e[0].rank&&(t=-1),concat(e,t)}function concatAlongFirstAxis(e,t){switch(e.rank){case 1:return concat1d([e,t]);case 2:return concat2d([e,t],0);case 3:return concat3d([e,t],0);case 4:return concat4d([e,t],0);default:throw new ValueError(\"concatAlongFirstAxis() received an unsupported tensor rank: \"+e.rank)}}function tile$1(e,t){if(Array.isArray(t)||(t=[t]),e.rank!==t.length)throw new ValueError(\"The length of input n (\"+t.length+\") does not match the number of dimensions in input x (\"+e.rank+\")\");return tile(e,t)}function identity(e){return e.clone()}function scalarTimesArray(e,t){return mul(e,t)}function scalarPlusArray(e,t){return add(e,t)}function randomNormal$1(e,t,n,r,i){return void 0===t&&(t=0),void 0===n&&(n=1),randomNormal(e,t,n,r,i)}function dot(e,t){if(2!==t.rank)throw new NotImplementedError(\"dot support for y other than rank 2 is not yet implemented: y shape = \"+shape);if(2===e.rank)return matMul(e,t);if(3===e.rank){var n=e.shape[0],r=e.shape[1],i=e.shape[2];return e=e.reshape([n*r,i]),matMul(e,t).reshape([n,r,t.shape[1]])}throw new NotImplementedError(\"dot support for x of rank \"+e.rank+\" is not yet implemented: x shape = \"+shape)}function gather$1(e,t,n){return tidy(function(){return t=Array.isArray(t)?tensor1d(t,\"int32\"):t.toInt(),gather(e,t,n)})}function square(e){return mulStrict(e,e)}function biasAdd(e,t,n){return tidy(function(){if(null==n&&(n=imageDataFormat()),checkDataFormat(n),1!==t.rank&&t.rank!==e.rank)throw new ValueError(\"Unexpected bias dimensions: \"+t.rank+\"; expected it to be 1 or \"+e.rank);var r,i=t.shape;if(5===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1,1])):e.add(t.reshape([1,i[3],i[0],i[1],i[2]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(4===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1,1])):e.add(t.reshape([1,i[2],i[0],i[1]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,1,i[0]])):e.add(t.reshape([1].concat(i))));else if(3===e.rank)\"channelsFirst\"===n?r=1===i.length?e.add(t.reshape([1,i[0],1])):e.add(t.reshape([1,i[1],i[0]])):\"channelsLast\"===n&&(r=1===i.length?e.add(t.reshape([1,1,i[0]])):e.add(t.reshape([1].concat(i))));else{if(!(e.rank<3))throw new ValueError(\"Unsupported input rank by biasAdd: \"+e.rank);r=e.add(t)}return r})}function elu$1(e,t){if(void 0===t&&(t=1),1!==t)throw new NotImplementedError(\"Support for alpha values other than 1 (\"+t+\") is not implemented yet.\");return elu(e)}function softsign(e){return tidy(function(){return div(e,add(getScalar(1),abs(e)))})}function dropout(e,t,n,r){return tidy(function(){if(null!=n&&!util.arraysEqual(e.shape,n))throw new NotImplementedError(\"Non-default noise shape is not implemented yet: \"+JSON.stringify(n));if(null!=r)throw new NotImplementedError(\"seed is not implemented for dropout yet.\");var i=step(add(neg(t),randomUniform(e.shape,0,1,\"float32\")));return i=mul(div(getScalar(1),sub(getScalar(1),t)),i),mul(e,i)})}function nameScope$1(e,t){return nameScope(e,t)}function floatx(){return\"float32\"}var _uidPrefixes={};function getUid(e){return void 0===e&&(e=\"\"),e in _uidPrefixes||(_uidPrefixes[e]=0),_uidPrefixes[e]+=1,e+_uidPrefixes[e].toString()}function hardSigmoid(e){return tidy(function(){var t=scalarPlusArray(getScalar(.5),scalarTimesArray(getScalar(.2),e));return clipByValue(t,0,1)})}function inTrainPhase(e,t,n){return void 0===n&&(n=!1),n?e():t()}function calcL2Norms(e,t){return tidy(function(){return sqrt(sum(square(e),t,!0))})}var Constraint=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t=__decorate([doc({heading:\"Constraints\",subheading:\"Classes\",namespace:\"constraints\"})],t)}(serialization.Serializable),MaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMaxValue=2,n.defaultAxis=0,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=clipByValue(n,0,t.maxValue);return mul(e,div(r,scalarPlusArray(getScalar(epsilon$1()),n)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className=\"MaxNorm\",t}(Constraint);serialization.SerializationMap.register(MaxNorm);var UnitNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultAxis=0,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){return div(e,scalarPlusArray(getScalar(epsilon$1()),calcL2Norms(e,t.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className=\"UnitNorm\",t}(Constraint);serialization.SerializationMap.register(UnitNorm);var NonNeg=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"NonNeg\",t}(Constraint);serialization.SerializationMap.register(NonNeg);var MinMaxNorm=function(e){function t(t){var n=e.call(this)||this;return n.defaultMinValue=0,n.defaultMaxValue=1,n.defaultRate=1,n.defaultAxis=0,n.minValue=null!=t.minValue?t.minValue:n.defaultMinValue,n.maxValue=null!=t.maxValue?t.maxValue:n.defaultMaxValue,n.rate=null!=t.rate?t.rate:n.defaultRate,n.axis=null!=t.axis?t.axis:n.defaultAxis,n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=calcL2Norms(e,t.axis),r=add(scalarTimesArray(getScalar(t.rate),clipByValue(n,t.minValue,t.maxValue)),scalarTimesArray(getScalar(1-t.rate),n));return mul(e,div(r,scalarPlusArray(getScalar(epsilon$1()),n)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className=\"MinMaxNorm\",t}(Constraint);serialization.SerializationMap.register(MinMaxNorm);var CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP={maxNorm:\"MaxNorm\",minMaxNorm:\"MinMaxNorm\",nonNeg:\"NonNeg\",unitNorm:\"UnitNorm\"};function serializeConstraint(e){return serializeKerasObject(e)}function deserializeConstraint(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"constraint\")}function getConstraint(e){return null==e?null:\"string\"==typeof e?deserializeConstraint({className:e in CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP?CONSTRAINT_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Constraint?e:deserializeConstraint(e)}function deserialize(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"layer\")}function isArrayItemInputOrOutputName(e,t,n){return(\"inboundNodes\"===e||\"outputLayers\"===e||\"inputLayers\"===e)&&0===t&&\"string\"==typeof n}function convertPythonicToTs(e,t){if(null===e)return null;if(\"string\"==typeof e)return toCamelCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertPythonicToTs(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u];if(\"name\"===u&&\"string\"==typeof c)o[u]=c;else{var p=toCamelCase(u);o[p]=convertPythonicToTs(c,p)}}return o}function convertTsToPythonic(e,t){if(null===e||void 0===e)return null;if(\"string\"==typeof e)return toSnakeCase(e);if(\"number\"==typeof e||\"boolean\"==typeof e)return e;if(e instanceof Array){for(var n=[],r=e.length,i=0;i<r;++i){var a=e[i];isArrayItemInputOrOutputName(t,i,a)?n.push(a):n.push(convertTsToPythonic(a,t))}return n}for(var o={},s=0,l=Object.keys(e);s<l.length;s++){var u=l[s],c=e[u],p=toSnakeCase(u);o[p]=\"name\"!==u&&\"className\"!==u||\"string\"!=typeof c?convertTsToPythonic(c,u):c}return o}var version=\"0.6.7\",InputSpec=function(){return function(e){this.dtype=e.dtype,this.shape=e.shape,null!=e.shape?this.ndim=e.shape.length:this.ndim=e.ndim,this.maxNDim=e.maxNDim,this.minNDim=e.minNDim,this.axes=e.axes||{}}}(),_nextNodeID=0,Node=function(){function e(e,t){this.callArgs=t,this.id=_nextNodeID++,this.outboundLayer=e.outboundLayer,this.inboundLayers=e.inboundLayers,this.nodeIndices=e.nodeIndices,this.tensorIndices=e.tensorIndices,this.inputTensors=e.inputTensors,this.outputTensors=e.outputTensors,this.inputMasks=e.inputMasks,this.outputMasks=e.outputMasks,this.inputShapes=e.inputShapes,this.outputShapes=e.outputShapes;for(var n=0,r=e.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}e.outboundLayer.inboundNodes.push(this)}return e.prototype.getConfig=function(){for(var e=[],t=0,n=this.inboundLayers;t<n.length;t++){var r=n[t];null!=r?e.push(r.name):e.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:e,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},e}(),_nextLayerID=0,Layer=function(e){function t(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=_nextLayerID++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=toSnakeCase(i)+\"_\"+getUid(i)}if(n.name=r,n.trainable=null==t.trainable||t.trainable,n.updatable=null==t.updatable||t.updatable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var o=null;null!=t.batchSize&&(o=t.batchSize),a=[o].concat(t.inputShape)}n.batchInputShape=a;var s=t.dtype;null==s&&(s=t.inputDType),null==s&&(s=floatx()),n.dtype=s}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n}return __extends(t,e),t.nodeKey=function(e,t){return e.name+\"_ib-\"+t.toString()},t.prototype.getNodeAtIndex=function(e,t){if(0===this.inboundNodes.length)throw new RuntimeError(\"The layer has never been called and thus has no defined \"+t+\".\");if(this.inboundNodes.length<=e)throw new ValueError(\"Asked to get \"+t+\" at node \"+e+\", but the layer has only \"+this.inboundNodes.length+\" inbound nodes.\");return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"input\").inputTensors)},t.prototype.getOutputAt=function(e){return singletonOrArray(this.getNodeAtIndex(e,\"output\").outputTensors)},Object.defineProperty(t.prototype,\"input\",{get:function(){if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer input\" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" is not connected, no input to return.\");return singletonOrArray(this.getNodeAtIndex(0,\"input\").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"output\",{get:function(){if(0===this.inboundNodes.length)throw new AttributeError(\"Layer \"+this.name+\" has no inbound nodes.\");if(this.inboundNodes.length>1)throw new AttributeError(\"Layer \"+this.name+' has multiple inbound nodes, hence the notion of \"layer output\" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return singletonOrArray(this.getNodeAtIndex(0,\"output\").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,\"updates\",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"built\",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this._trainableWeights:[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this._nonTrainableWeights:this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"stateful\",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.assertInputCompatibility=function(e){if(e=toList(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=toList(this.inputSpec);if(e.length!==t.length)throw new ValueError(\"Layer \"+this.name+\" expects \"+t.length+\" inputs, but it received \"+e.length+\" input tensors. Input received: \"+e);for(var n=0;n<e.length;n++){var r=e[n],i=t[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected ndim=\"+i.ndim+\", found ndim=\"+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected max_ndim=\"+i.maxNDim+\", found ndim=\"+a);if(null!=i.minNDim&&a<i.minNDim)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected min_ndim=\"+i.minNDim+\", found ndim=\"+a+\".\");if(null!=i.dtype&&dtype(r)!==i.dtype){var o=dtype(r);throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\" : expected dtype=\"+i.dtype+\", found dtype=\"+o+\".\")}if(i.axes){var s=intShape(r);for(var l in i.axes){var u=Number(l),c=i.axes[l],p=u>=0?s[u]:s[s.length+u];if(null!=c&&-1===[c,null].indexOf(p))throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected axis \"+u+\" of input shape to have value \"+c+\" but got shape \"+s+\".\")}}if(null!=i.shape){s=intShape(r);for(var h=0;h<i.shape.length;++h){var d=i.shape[h],g=s[h];if(null!=d&&null!=g&&d!==g)throw new ValueError(\"Input \"+n+\" is incompatible with layer \"+this.name+\": expected shape=\"+i.shape+\", found shape=${xShape}.\")}}}}}},t.prototype.call=function(e,t){return e},t.prototype.invokeCallHook=function(e,t){null!=this._callHook&&this._callHook(e,t)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,t){var n=this;t=t||{};for(var r=toList(e),i=!0,a=0,o=r;a<o.length;a++){if(!(o[a]instanceof SymbolicTensor)){i=!1;break}}for(var s=!0,l=0,u=r;l<u.length;l++){if(u[l]instanceof SymbolicTensor){s=!1;break}}if(i===s)throw new ValueError(\"Arguments to apply() must be all SymbolicTensors or all Tensors\");return nameScope$1(this.name,function(){if(!n.built){n.assertInputCompatibility(e);for(var i=[],a=0,o=toList(e);a<o.length;a++){var l=o[a];i.push(intShape(l))}n.build(singletonOrArray(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights)}if(n.assertInputCompatibility(e),s){for(var u=[],c=0,p=toList(f=n.call(e,t));c<p.length;c++){var h=p[c];-1!==r.indexOf(h)&&(h=identity(h)),u.push(h)}if(f=singletonOrArray(u),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f}var d=collectInputShape(e),g=n.computeOutputShape(d),f=void 0,m=guessOutputDType(e);if(f=null!=g&&g.length>0&&Array.isArray(g[0])?g.map(function(r,i){return new SymbolicTensor(m,r,n,toList(e),t,n.name,i)}):new SymbolicTensor(m,g,n,toList(e),t,n.name),n.addInboundNode(e,f,null,null,d,g,t),null!=n.activityRegularizer)throw new NotImplementedError(\"Layer invocation in the presence of activity regularizer(s) is not supported yet.\");return f})},Object.defineProperty(t.prototype,\"outputShape\",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new AttributeError(\"The layer \"+this.name+\" has never been called and thus has no defined output shape.\");for(var e=[],t=0,n=this.inboundNodes;t<n.length;t++){var r=n[t],i=JSON.stringify(r.outputShapes);-1===e.indexOf(i)&&e.push(i)}if(1===e.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new AttributeError(\"The layer \"+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of \"outut shape\" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new RuntimeError(\"You tried to call countParams() on \"+this.name+\", but the layer is not built yet. Build it first by calling build(batchInputShape).\");return countParamsInWeights(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return void 0===e&&(e=!1),batchGetValue(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var t=this;tidy(function(){var n=t.weights;if(n.length!==e.length)throw new ValueError('You called setWeights(weights) on layer \"'+t.name+'\" with a weight list of length '+e.length+\", but the layer was expecting \"+n.length+\" weights. Provided weights: \"+e+\"...\");if(0!==n.length){for(var r=[],i=batchGetValue(n),a=0;a<i.length;++a){var o=i[a],s=n[a],l=e[a];if(!util.arraysEqual(o.shape,l.shape))throw new ValueError(\"Layer weight shape \"+o.shape+\" not compatible with provided weight shape \"+l.shape);r.push([s,l])}batchSetValue(r)}})},t.prototype.addWeight=function(e,t,n,r,i,a,o){if(-1!==this._addedWeightNames.indexOf(e))throw new ValueError(\"Duplicate weight name \"+e+\" for layer \"+this.name);this._addedWeightNames.push(e),null==n&&(n=floatx());var s=new LayerVariable(r.apply(t,n),n,e,a,o);return null!=i&&this.addLoss(function(){return i.apply(s.read())}),null==a&&(a=!0),a?this._trainableWeights.push(s):this._nonTrainableWeights.push(s),s},t.prototype.addLoss=function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=toList(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,e))},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError(\"Layer \"+this.name+\" does not support masking,but was passed an inputMask.\");t.forEach(function(e){if(null!=e)throw new TypeError(\"Layer \"+n.name+\" does not support masking,but was passed an inputMask.\")})}return null}return t},t.prototype.addInboundNode=function(e,t,n,r,i,a,o){void 0===o&&(o=null);var s=toList(e);t=toList(t),n=toList(n),r=toList(r),i=normalizeShapeList(i),a=normalizeShapeList(a);for(var l=[],u=[],c=[],p=0,h=s;p<h.length;p++){var d=h[p];l.push(d.sourceLayer),u.push(d.nodeIndex),c.push(d.tensorIndex)}new Node({outboundLayer:this,inboundLayers:l,nodeIndices:u,tensorIndices:c,inputTensors:s,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},o);for(var g=0;g<t.length;g++)t[g].sourceLayer=this,t[g].nodeIndex=this.inboundNodes.length-1,t[g].tensorIndex=g},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e},__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"apply\",null),t=__decorate([doc({heading:\"Layers\",subheading:\"Classes\",namespace:\"layers\"})],t)}(serialization.Serializable);function collectInputShape(e){for(var t=[],n=0,r=e=toList(e);n<r.length;n++){var i=r[n];t.push(intShape(i))}return singletonOrArray(t)}function guessOutputDType(e){return\"float32\"}var InputLayer=function(e){function t(t){var n=e.call(this,{dtype:t.dtype,name:null!=t.name?t.name:getUid(\"input\").toString()})||this;if(null==t.batchSize&&(t.batchSize=null),null==t.sparse&&(t.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=t.sparse,null!=t.inputShape&&null!=t.batchInputShape)throw new ValueError(\"Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.\");var r=t.batchInputShape;if(null==r){if(null==t.inputShape)throw new ValueError(\"An InputLayer should be passed either a `batchInputShape` or an `inputShape`.\");r=[t.batchSize].concat(t.inputShape)}else if(null!=t.batchSize)throw new ValueError(\"Cannot specify batchSize if batchInputShape isspecified when creating an InputLayer.\");var i=t.dtype||floatx();n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new SymbolicTensor(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Node({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return __extends(t,e),t.prototype.apply=function(e,t){throw new ValueError(\"Cannot pass any input to an InputLayer's apply() method. InputLayer name: \"+this.name)},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className=\"InputLayer\",t}(Layer);function Input(e){if(null==e.batchShape&&null==e.shape)throw new Error(\"Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.\");if(null!=e.batchShape&&null!=e.shape)throw new ValueError(\"Please provide either a `shape` or `batchShape` argument to Input, but not both.\");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n=floatx()),new InputLayer({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}serialization.SerializationMap.register(InputLayer);var Container=function(e){function t(n){var r=e.call(this,{})||this;if(r.containerNodes=new Set,r.name=n.name,null==r.name){var i=r.getClassName().toLowerCase();r.name=getUid(i)}if(r.supportsMasking=!1,r.trainable=!0,r.updatable=!0,Array.isArray(n.inputs)?r.inputs=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],unique(r.inputs).length!==r.inputs.length)throw new ValueError(\"The list of inputs passed to the model is redundant. All inputs should only appear once. Found: \"+r.inputs.map(function(e){return e.name}));unique(r.outputs).length!==r.outputs.length&&console.warn(\"The list of outputs passed to the model is redundant. All outputs should only appear once. Found: \"+r.outputs.map(function(e){return e.name})),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[];for(var a=0,o=r.outputs;a<o.length;a++){var s=(N=o[a]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;r.outputLayers.push(s),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(u)}for(var c=0,p=r.inputs;c<p.length;c++){s=(N=p[c]).sourceLayer,l=N.nodeIndex,u=N.tensorIndex;assert(0===l,\"input layer has >1 nodes\"),assert(0===u,\"input layer has >1 tensors\"),r.inputLayers.push(s),r.inputLayersNodeIndices.push(l),r.inputLayersTensorIndices.push(u)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var h=0;h<r.inputLayers.length;h++){if(!((s=r.inputLayers[h])instanceof InputLayer))throw new TypeError(\"Input layers to a Model must be InputLayer objects. Received inputs: \"+n.inputs+\". Input \"+h+\" (0-based) originates from layer type \"+s.getClassName()+\".\");r.inputNames.push(s.name),r.feedInputShapes.push(s.batchInputShape),r.feedInputNames.push(s.name)}for(var d=0,g=r.outputLayers;d<g.length;d++){s=g[d];r.outputNames.push(s.name)}r.internalInputShapes=r.inputs.map(function(e){return e.shape}),r.internalOutputShapes=r.outputs.map(function(e){return e.shape});for(var f={},m={},y={},v={},b={},z=[],w=function(e,n,i,a,o,s){null!=a&&null!=o&&null!=s||(a=e.sourceLayer,o=e.nodeIndex,s=e.tensorIndex);var l=a.inboundNodes[o];if(-1!==i.indexOf(l))throw new RuntimeError(\"The tensor \"+e.name+' at layer \"'+a.name+'\" is part of a cycle.');if(-1===n.indexOf(l)){r.containerNodes.add(t.nodeKey(a,o)),a.id in b||(b[a.id]=Object.keys(b).length),-1===i.indexOf(l)&&i.push(l);for(var u=l.inboundLayers.length,c=0;c<u;c++){var p=l.inputTensors[c],h=l.inboundLayers[c],d=l.nodeIndices[c],g=l.tensorIndices[c];w(p,n,i,h,d,g)}for(n.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);z.push(l)}},S=[],I=[],_=0,A=r.outputs;_<A.length;_++){var N=A[_];w(N,S,I)}for(var E=0,L=z.slice().reverse();E<L.length;E++){m[(H=L[E]).id]=H,H.id in f||(f[H.id]=0);var C=f[H.id],x=null==y[H.outboundLayer.id]?0:y[H.outboundLayer.id];C=Math.max(C,x),y[H.outboundLayer.id]=C,v[H.outboundLayer.id]=H.outboundLayer,f[H.id]=C;for(h=0;h<H.inboundLayers.length;h++){var k=H.inboundLayers[h],T=(l=H.nodeIndices[h],k.inboundNodes[l]),R=null==f[T.id]?0:f[T.id];f[T.id]=Math.max(C+1,R),m[T.id]=T}}var D={};for(var O in f){(C=f[O])in D||(D[C]=[]),D[C].push(m[O])}var M={};for(var F in y){(C=y[F])in M||(M[C]=[]),M[C].push(v[F])}var P=Object.keys(M).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);r.layers=[];for(var V=0,B=P;V<B.length;V++){var U=M[C=B[V]];U.sort(function(e,t){var n=b[e.id],r=b[t.id];return n<r?-1:n>r?1:0});for(var W=0,j=U;W<j.length;W++){s=j[W];r.layers.push(s)}}r.layersByDepth=M,P=Object.keys(D).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);for(var q=r.inputs.slice(),G=[],$=0,Z=P;$<Z.length;$++)for(var J=0,K=D[C=Z[$]];J<K.length;J++){var H;if(null!=(s=(H=K[J]).outboundLayer)){for(var Y=0,X=H.inputTensors;Y<X.length;Y++){N=X[Y];if(-1===q.indexOf(N))throw new RuntimeError(\"Graph disconnected: cannot obtain value for tensor \"+N+' at layer \"'+s.name+'\". The following previous layers were accessed without issue: '+G)}for(var Q=0,ee=H.outputTensors;Q<ee.length;Q++){N=ee[Q];q.push(N)}G.push(s.name)}}r.nodesByDepth=D;for(var te=r.layers.map(function(e){return e.name}),ne=function(e){var t=te.filter(function(t){return t===e}).length;if(1!==t)throw new RuntimeError('The name \"'+e+'\" is used '+t+\" times in the model. All layer names should be unique. Layer names: \"+JSON.stringify(te))},re=0,ie=te;re<ie.length;re++){ne(ie[re])}return r.outboundNodes=[],r.inboundNodes=[],new Node({outboundLayer:r,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map(function(e){return null}),outputMasks:r.outputs.map(function(e){return null}),inputShapes:r.inputs.map(function(e){return e.shape}),outputShapes:r.outputs.map(function(e){return e.shape})}),r.built=!0,r}return __extends(t,e),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(this._trainableWeights.length>0)throw new ValueError(\"Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.\");if(!this.trainable)return[];for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e=e.concat(r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.layers;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.layers;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"weights\",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,t,n){void 0===t&&(t=!1),void 0===n&&(n=!1),n?loadWeightsFromNamedTensorMap(e,this.layers):loadWeightsFromJson(e,this.layers,t)},t.prototype.updatedConfig=function(){var e=this.getConfig();return{className:this.getClassName(),config:e,kerasVersion:\"tfjs-layers \"+version,backend:\"TensorFlow.js\"}},t.prototype.toJSON=function(e,t){void 0===t&&(t=!0);var n=convertTsToPythonic(this.updatedConfig());return t?JSON.stringify(n):n},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=\"mask\"in t?toList(t.mask):pyListRepeat(null,e.length),n.runInternalGraph(e,r)[0]})},t.prototype.computeMask=function(e,t){var n=this;return tidy(function(){var r;return e=toList(e),r=null==t?pyListRepeat(null,e.length):toList(t),n.runInternalGraph(e,r)[1]})},t.prototype.computeOutputShape=function(e){var t=normalizeShapeList(e);if(t.length!==this.inputLayers.length)throw new ValueError(\"Invalid inputShape argument \"+e+\": model has \"+this.inputLayers.length+\" tensor inputs.\");for(var n={},r=0;r<t.length;r++){var i=this.inputLayers[r],a=t[r];n[I=i.name+\"_0_0\"]=a}var o=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);if(o.length>1)for(var s=0,l=o;s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){var h=p[c];i=h.outboundLayer;if(-1===this.inputLayers.map(function(e){return e.id}).indexOf(i.id)){for(var d=[],g=0;g<h.inboundLayers.length;g++){var f=h.inboundLayers[g],m=h.nodeIndices[g],y=h.tensorIndices[g],v=n[I=f.name+\"_\"+m+\"_\"+y];d.push(v)}var b=normalizeShapeList(i.computeOutputShape(singletonOrArray(d))),z=i.inboundNodes.indexOf(h);for(g=0;g<b.length;g++){n[I=i.name+\"_\"+z+\"_\"+g]=b[g]}}}var w=[],S=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],z=this.outputLayersNodeIndices[r],y=this.outputLayersTensorIndices[r];var I=i.name+\"_\"+z+\"_\"+y;S.push(I)}for(r=0;r<S.length;r++){var _=S[r];assert(_ in n),w.push(n[_])}return singletonOrArray(w)},t.prototype.runInternalGraph=function(e,t){null==t&&(t=pyListRepeat(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=e[r],o=t[r];n[i.id]=[a,o]}for(var s=0,l=Object.keys(this.nodesByDepth).map(function(e){return parseInt(e,10)}).sort(reverseNumberCompare);s<l.length;s++)for(var u=l[s],c=0,p=this.nodesByDepth[u];c<p.length;c++){for(var h=p[c],d=h.outboundLayer,g=h.inputTensors,f=h.outputTensors,m=new Array,y=0,v=g;y<v.length;y++){(i=v[y]).id in n&&m.push(n[i.id])}if(m.length===g.length){var b={},z=void 0,w=void 0,S=void 0,I=void 0;if(null!=h.callArgs&&(b=h.callArgs),1===m.length){var _=m[0],A=_[0],N=_[1];null==b.mask&&(b.mask=N),S=toList(d.call(A,b)),I=toList(d.computeMask(A,N)),z=[A],w=[N]}else z=m.map(function(e){return e[0]}),w=m.map(function(e){return e[1]}),null==b.mask&&(b.mask=w),S=toList(d.call(z,b)),I=toList(d.computeMask(z,w));if(d.activityRegularizer)throw new NotImplementedError(\"Model invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.\");for(r=0;r<f.length;++r){i=f[r],a=S[r],o=I[r];n[i.id]=[a,o]}}}for(var E=[],L=[],C=[],x=0,k=this.outputs;x<k.length;x++){assert((i=k[x]).id in n,\"Could not compute output \"+i.name+\" : \"+i.id);var T=n[i.id],R=T[0];o=T[1];C.push(R.shape),E.push(R),L.push(o)}return[E,L,C]},t.prototype.buildNodeConversionMap=function(e){for(var n,r={},i=0,a=this.layers;i<a.length;i++){var o=a[i];n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var l=t.nodeKey(o,s);l in this.containerNodes&&(r[l]=n,n+=1)}}return r},t.prototype.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new ValueError(\"Was asked to retrieve layer at index \"+t+\", but model only has \"+this.layers.length+\" layer(s).\");return this.layers[t]}if(null==e)throw new ValueError(\"Provide either a layer name or layer index\");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===e)return i}throw new ValueError(\"No such layer: \"+e)},t.prototype.calculateLosses=function(){var e=this;return tidy(function(){for(var n=[],r=0,i=e.layers;r<i.length;r++)for(var a=i[r],o=0;o<a.inboundNodes.length;++o){var s=t.nodeKey(a,o);e.containerNodes.has(s)&&n.push.apply(n,a.calculateLosses())}return n})},t.prototype.getConfig=function(){for(var e={name:this.name},n=this.buildNodeConversionMap(this.layers),r=[],i=0,a=this.layers;i<a.length;i++){for(var o=(b=a[i]).getClassName(),s=b.getConfig(),l=[],u=0;u<b.inboundNodes.length;u++){var c=b.inboundNodes[u],p=t.nodeKey(b,u),h={};if(this.containerNodes.has(p)){if(c.callArgs)-1===JSON.stringify(c.callArgs).indexOf(\"undefined\")?h=c.callArgs:(console.warn(\"Layer \"+b.name+\" was passed non-serializable keyword arguments: \"+c.callArgs+\". They will not be included in the serialized model (and thus will be missing at deserialization time).\"),h={});if(c.inboundLayers.length>0){for(var d=[],g=0;g<c.inboundLayers.length;g++){var f=c.inboundLayers[g],m=c.nodeIndices[g],y=c.tensorIndices[g];null!==(w=n[t.nodeKey(f,m)])&&void 0!==w||(w=0),d.push([f.name,w,y,h])}l.push(d)}}}r.push({name:b.name,className:o,config:s,inboundNodes:l})}e.layers=r;var v=[];for(g=0;g<this.inputLayers.length;g++){var b=this.inputLayers[g];m=this.inputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){null!==(w=n[p])&&void 0!==w||(w=0);y=this.inputLayersTensorIndices[g];v.push([b.name,w,y])}}e.inputLayers=v;var z=[];for(g=0;g<this.outputLayers.length;g++){b=this.outputLayers[g],m=this.outputLayersNodeIndices[g],p=t.nodeKey(b,m);if(this.containerNodes.has(p)){var w;null!==(w=n[p])&&void 0!==w||(w=0);y=this.outputLayersTensorIndices[g];z.push([b.name,w,y])}}return e.outputLayers=z,e},t.fromConfig=function(e,t){var n={},r={};function i(e,t){e.name in r?r[e.name].push(t):r[e.name]=[t]}function a(e,t){for(var r,a=[],o=0,s=t;o<s.length;o++){var l=s[o],u=l[0],c=l[1],p=l[2];if(3===l.length)r={};else{if(4!==l.length)throw new ValueError(\"Improperly formatted model config for layer \"+JSON.stringify(e)+\": \"+JSON.stringify(l));r=l[3]}if(!(u in n))return void i(e,t);var h=n[u];if(h.inboundNodes.length<=c)return void i(e,t);var d=h.inboundNodes[c];a.push(d.outputTensors[p])}a.length>0&&e.apply(singletonOrArray(a),r)}function o(e){var r=e.name,a=deserialize(e,null!=t.customObjects?t.customObjects:{});n[r]=a;for(var o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(l instanceof Array))throw new ValueError(\"Corrupted configuration, expected array for nodeData: \"+l);i(a,l)}}for(var s=t.name,l=t.layers,u=0,c=l;u<c.length;u++){o(d=c[u])}for(;!isObjectEmpty(r);)for(var p=0,h=l;p<h.length;p++){var d=h[p];if((N=n[d.name]).name in r){for(var g=0,f=r[N.name];g<f.length;g++){a(N,f[g])}delete r[N.name]}}for(var m=[],y=[],v=0,b=t.inputLayers;v<b.length;v++){var z=(d=b[v])[0],w=d[1],S=d[2];assert(z in n);var I=(N=n[z]).inboundNodes[w].outputTensors;m.push(I[S])}for(var _=0,A=t.outputLayers;_<A.length;_++){z=(d=A[_])[0],w=d[1],S=d[2];assert(z in n);var N;I=(N=n[z]).inboundNodes[w].outputTensors;y.push(I[S])}return new e({inputs:m,outputs:y,name:s})},Object.defineProperty(t.prototype,\"stateful\",{get:function(){if(this._stateful)throw new ValueError(\"Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.\");for(var e=0,t=this.layers;e<t.length;e++){if(t[e].stateful)return!0}return!1},enumerable:!0,configurable:!0}),__decorate([doc({heading:\"Layers\",subheading:\"Classes\",namespace:\"layers\",subclasses:[\"Model\"]})],t.prototype,\"getLayer\",null),t}(Layer);function getSourceInputs(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var o=0,s=getSourceInputs(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);o<s.length;o++){var l=s[o];-1===i.indexOf(l)&&i.push(l)}return i}function loadTensor(e,t,n){var r=stringToDType(e);return Tensor.make(t,{values:0===t.length?n:util.flatten(n)},r)}function preprocessWeightsForLoading(e,t,n,r){if(!n.startsWith(\"2.\"))throw new ValueError(\"Unsupported Keras version in weights being loaded: \"+n);return t}function loadWeightsFromNamedTensorMap(e,t){for(var n={},r=0,i=0,a=t;i<a.length;i++)for(var o=0,s=a[i].weights;o<s.length;o++){var l=s[o];if(null!=n[l.originalName])throw new ValueError(\"Duplicate weight name: \"+l.originalName);n[l.originalName]=l,r++}var u=[];for(var c in e)u.push([n[c],e[c]]),delete n[c];var p=[];for(var h in n)p.push(h);if(p.length>0)throw new ValueError(p.length+\" of \"+r+\" weights are not set: \"+p);batchSetValue(u)}function loadWeightsFromJson(e,t,n){void 0===n&&(n=!1);for(var r=e.keras_version,i=e.backend,a=t.map(function(e){return e.name}),o={},s=0,l=t;s<l.length;s++){null!=(b=l[s]).name&&(null==o[b.name]&&(o[b.name]=[]),o[b.name].push(b))}for(var u=e.weights,c=[],p=0;p<a.length;++p){var h=a[p],d=u[h];null==d&&(d=[]);for(var g=[],f=0;f<d.length;++f){var m=d[f];g.push(new LayerVariable(loadTensor(m.dtype,m.shape,m.value)))}for(var y=0,v=o[h];y<v.length;y++){var b,z=(b=v[y]).weights;if((g=preprocessWeightsForLoading(b,g,r,i)).length!==z.length){if(!n)throw new ValueError(\"Layer #\"+p+' (named \"'+b.name+'\") expects '+z.length+\" weight(s), but the saved weights have \"+g.length+\" element(s).\");console.warn(\"Skipping loading of weights of layer \"+b.name+\" due to mismatch in number of weights: (\"+g.length+\" vs \"+z.length+\").\")}for(var w=0;w<g.length;++w)!n||util.arraysEqual(z[w].shape,g[w].shape)?c.push([z[w],g[w].read()]):console.warn(\"Skipping loading of weights for layer \"+b.name+\" due to mismatch in shape (\"+z[w].shape+\" vs \"+g[w].shape+\")\")}}batchSetValue(c)}var Callback=function(){function e(){this.validationData=null,this.model=null}return e.prototype.setParams=function(e){this.params=e},e.prototype.setModel=function(e){this.model=e},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){return __generator(this,function(e){return[2]})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){return 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t=0,n=this.callbacks;t<n.length;t++){n[t].setModel(e)}},e.prototype.onEpochBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochBegin(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onEpochEnd=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onEpochEnd(e,t)]:[3,4];case 2:i.sent(),i.label=3;case 3:return n++,[3,1];case 4:return[2]}})})},e.prototype.onBatchBegin=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r;return __generator(this,function(i){switch(i.label){case 0:null==t&&(t={}),n=0,r=this.callbacks,i.label=1;case 1:return n<r.length?[4,r[n].onBatchBegin(e,t)]:[3,4];case 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3:return[2]}})})},t}(Callback);function standardizeCallbacks(e){return null==e?null:e instanceof Callback?[e]:Array.isArray(e)&&e[0]instanceof Callback?e:toList(e).map(function(e){return new CustomCallback(e)})}function l2Normalize(e,t){return tidy(function(){var n=sum(square(e),t,!0),r=scalarTimesArray(scalar(epsilon$1()),onesLike(e)),i=sqrt(maximum(n,r));return div(e,i)})}function meanSquaredError(e,t){return tidy(function(){return mean(square(sub(t,e)),-1)})}function meanAbsoluteError(e,t){return tidy(function(){return mean(abs(sub(t,e)),-1)})}function meanAbsolutePercentageError(e,t){return tidy(function(){var n=sub(e,t),r=clipByValue(abs(e),epsilon$1(),Number.MAX_VALUE),i=abs(div(n,r));return scalarTimesArray(getScalar(100),mean(i,-1))})}function meanSquaredLogarithmicError(e,t){return tidy(function(){var n=getScalar(1),r=clipByValue(t,epsilon$1(),Number.MAX_VALUE),i=log(scalarPlusArray(n,r)),a=clipByValue(e,epsilon$1(),Number.MAX_VALUE),o=log(scalarPlusArray(n,a));return mean(square(sub(i,o)),-1)})}function squaredHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(square(i),-1)})}function hinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=maximum(n,sub(r,mul(e,t)));return mean(i,-1)})}function categoricalHinge(e,t){return tidy(function(){var n=getScalar(0),r=getScalar(1),i=sum(mul(e,t),-1),a=max(mul(sub(r,e),t),-1);return maximum(n,scalarPlusArray(r,sub(a,i)))})}function logcosh(e,t){return tidy(function(){var n=getScalar(Math.log(2)),r=sub(t,e),i=sub(add(r,softplus(scalarTimesArray(getScalar(-2),r))),n);return mean(i,-1)})}function categoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){if(n)t=softmax(t);else{var r=sum(t,shape(t).length-1,!0);t=div(t,r)}return t=clipByValue(t,epsilon$1(),1-epsilon$1()),neg(sum(mul(e.toFloat(),log(t)),shape(t).length-1))})}function sparseCategoricalCrossentropy(e,t,n){return void 0===n&&(n=!1),tidy(function(){var r=floor(flatten(e)).toInt(),i=shape(t);return categoricalCrossentropy(oneHot(r,i[i.length-1]).reshape(i),t,n)})}function sigmoidCrossEntropyWithLogits(e,t){return tidy(function(){var n=maximum(t,zerosLike(t)),r=mul(t,e),i=log(add(getScalar(1),exp(neg(abs(t)))));return add(sub(n,r),i)})}function binaryCrossentropy(e,t){return tidy(function(){var n;return n=clipByValue(t,epsilon$1(),1-epsilon$1()),n=log(div(n,sub(onesLike(n),n))),mean(sigmoidCrossEntropyWithLogits(e,n),-1)})}function kullbackLeiblerDivergence(e,t){return tidy(function(){var n=clipByValue(e,epsilon$1(),1),r=clipByValue(t,epsilon$1(),1);return sum(mul(e,log(div(n,r))),-1)})}function poisson(e,t){return tidy(function(){var n=log(scalarPlusArray(getScalar(epsilon$1()),t));return mean(sub(t,mul(e,n)),-1)})}function cosineProximity(e,t){return tidy(function(){var n=l2Normalize(e,-1),r=l2Normalize(t,-1),i=mul(n,r);return neg(sum(i,-1))})}function get(e){var t={meanSquaredError:meanSquaredError,meanAbsoluteError:meanAbsoluteError,meanAbsolutePercentageError:meanAbsolutePercentageError,meanSquaredLogarithmicError:meanSquaredLogarithmicError,squaredHinge:squaredHinge,hinge:hinge,categoricalHinge:categoricalHinge,logcosh:logcosh,categoricalCrossentropy:categoricalCrossentropy,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy,binaryCrossentropy:binaryCrossentropy,kullbackLeiblerDivergence:kullbackLeiblerDivergence,poisson:poisson,cosineProximity:cosineProximity};if(\"string\"==typeof e){if(e in t)return t[e];throw new ValueError(\"Unknown loss \"+e)}return e}function binaryAccuracy(e,t){return tidy(function(){var n=scalarTimesArray(getScalar(.5),onesLike(t)),r=cast(greater(t,n),e.dtype);return mean(equal(e,r),-1)})}function categoricalAccuracy(e,t){return tidy(function(){return cast(equal(argMax(e,-1),argMax(t,-1)),\"float32\")})}function binaryCrossentropy$1(e,t){return binaryCrossentropy(e,t)}function sparseCategoricalAccuracy(e,t){throw new NotImplementedError}var mse$1=meanSquaredError,MSE$1=meanSquaredError,mae$1=meanAbsoluteError,MAE$1=meanAbsoluteError,mape$1=meanAbsolutePercentageError,MAPE$1=meanAbsolutePercentageError,categoricalCrossentropy$1=categoricalCrossentropy,cosine$1=cosineProximity,sparseCategoricalCrossentropy$1=sparseCategoricalCrossentropy;function get$1(e){var t={binaryAccuracy:binaryAccuracy,categoricalAccuracy:categoricalAccuracy,categoricalCrossentropy:categoricalCrossentropy$1,sparseCategoricalCrossentropy:sparseCategoricalCrossentropy$1,mse:mse$1,MSE:MSE$1,mae:mae$1,MAE:MAE$1,mape:mape$1,MAPE:MAPE$1,cosine:cosine$1};if(\"string\"==typeof e&&e in t)return t[e];if(\"string\"!=typeof e&&null!=e)return e;throw new ValueError(\"Unknown metric \"+e)}function getOptimizer(e){var t={Adagrad:function(){return train.adagrad(.01)},Adadelta:function(){return train.adadelta(1,.95,epsilon$1())},Adam:function(){return train.adam(.001,.9,.999,epsilon$1())},Adamax:function(){return train.adamax(.002,.9,.999,epsilon$1(),0)},RMSProp:function(){return train.rmsprop(.001,.9,null,epsilon$1())},SGD:function(){return train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,e in t)return t[e]();throw new ValueError(\"Unknown Optimizer \"+e)}function printSummary(e,t,n,r){void 0===r&&(r=console.log);var i,a=isModelSequentialLike(e),o=[\"Layer (type)\",\"Output shape\",\"Param #\"];if(a?(t=t||65,n=n||[.45,.85,1]):(t=t||98,n=n||[.33,.55,.67,1]),n[n.length-1]<=1&&(n=n.map(function(e){return Math.floor(t*e)})),!a)for(var s in o.push(\"Receives inputs\"),i=[],e.nodesByDepth)i.push.apply(i,e.nodesByDepth[s]);r(\"_\".repeat(t)),printRow(o,n,r),r(\"=\".repeat(t));for(var l,u=e.layers,c=0;c<u.length;++c)a?printLayerSummary(u[c],n,r):printLayerSummaryWithConnections(u[c],n,i,r),r((c===u.length-1?\"=\":\"_\").repeat(t));e.checkTrainableWeightsConsistency(),l=null!=e.collectedTrainableWeights?countParamsInWeights(e.collectedTrainableWeights):countParamsInWeights(e.trainableWeights);var p=countParamsInWeights(e.nonTrainableWeights);r(\"Total params: \"+(l+p)),r(\"Trainable params: \"+l),r(\"Non-trainable params: \"+p),r(\"_\".repeat(t))}function isModelSequentialLike(e){var t=!0,n=[],r=[];for(var i in e.nodesByDepth)n.push(e.nodesByDepth[i]);for(var a=0,o=n;a<o.length;a++){var s=o[a];if(s.length>1||1===s.length&&s[0].inboundLayers.length>1){t=!1;break}r.push.apply(r,s)}if(t)for(var l=0,u=e.layers;l<u.length;l++){for(var c=!1,p=0,h=u[l].inboundNodes;p<h.length;p++){var d=h[p];if(-1!==r.indexOf(d)){if(c){t=!1;break}c=!0}}if(!t)break}return t}function printRow(e,t,n){void 0===n&&(n=console.log);for(var r=\"\",i=0;i<e.length;++i)i>0&&(r=r.slice(0,r.length-1)+\" \"),r=(r+=e[i]).slice(0,t[i]),r+=\" \".repeat(t[i]-r.length);n(r)}function printLayerSummary(e,t,n){var r;try{r=JSON.stringify(e.outputShape)}catch(e){r=\"multiple\"}printRow([e.name+\" (\"+e.getClassName()+\")\",r,e.countParams().toString()],t,n)}function printLayerSummaryWithConnections(e,t,n,r){var i;try{i=JSON.stringify(e.outputShape)}catch(e){i=\"multiple\"}for(var a=[],o=0,s=e.inboundNodes;o<s.length;o++){var l=s[o];if(!(null!=n&&n.length>0&&-1===n.indexOf(l)))for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,p=l.nodeIndices[u],h=l.tensorIndices[u];a.push(c+\"[\"+p+\"][\"+h+\"]\")}}var d=e.name,g=e.getClassName(),f=0===a.length?\"\":a[0];printRow([d+\" (\"+g+\")\",i,e.countParams().toString(),f],t,r);for(u=1;u<a.length;++u)printRow([\"\",\"\",\"\",a[u]],t,r)}function assertFeedCompatibility(e,t){if(null!=e.dtype&&e.dtype!==t.dtype)throw new ValueError(\"The dtype of the feed (\"+t.dtype+\") is incompatible with that of the key '\"+e.name+\"' (\"+e.dtype+\").\");if(null!=e.shape){if(e.shape.length!==t.shape.length)throw new ValueError(\"The rank of feed (\"+t.shape.length+\") does not match the rank of the key (\"+e.shape.length+\").\");for(var n=0;n<e.shape.length;++n)if(null!=e.shape[n]&&e.shape[n]!==t.shape[n])throw new ValueError(\"The \"+n+\"-th dimension of the feed (\"+t.shape[n]+\") is incompatible with that of the key (\"+e.shape[n]+\").\")}}var ModelLoggingVerbosity,FeedDict=function(){function e(t){if(this.id2Value={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n];else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(e,t){if(assertFeedCompatibility(e,t),null!=this.id2Value[e.id])throw new ValueError(\"Duplicate key: name=\"+e.name+\", id=\"+e.id);return this.id2Value[e.id]=t,this},e.prototype.addFeed=function(e){this.add(e.key,e.value)},e.prototype.hasKey=function(e){return null!=this.id2Value[e.id]},e.prototype.getValue=function(e){if(null==this.id2Value[e.id])throw new ValueError(\"Nonexistent key: \"+JSON.stringify(e));return this.id2Value[e.id]},e}();function execute(e,t,n){for(var r=Array.isArray(e),i=r?e:[e],a=[],o=new FeedDict(t),s=0,l=i;s<l.length;s++){var u=l[s];a.push(executeInternal(u,o,n))}return r?a:a[0]}function executeInternal(e,t,n){if(t.hasKey(e))return t.getValue(e);if(e.sourceLayer instanceof InputLayer)throw new ValueError(\"Missing a feed value for SymbolicTensor from InputLayer '\"+InputLayer.name+\"'\");for(var r=[],i=0,a=e.inputs;i<a.length;i++){var o=executeInternal(a[i],t,n);r.push(o)}var s=e.sourceLayer.apply(r,n);Array.isArray(s)||(s=[s]);for(var l=getNodeOutputs(e),u=Array.isArray(l)?l:[l],c=0;c<u.length;++c)t.add(u[c],s[c]);return 1===s.length?s[0]:s[e.outputTensorIndex]}function getNodeOutputs(e){var t;if(1===e.sourceLayer.inboundNodes.length)t=e.sourceLayer.output;else{for(var n=null,r=0;r<e.sourceLayer.inboundNodes.length;++r)for(var i=0,a=e.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++){if(a[i].id===e.id){n=r;break}}t=e.sourceLayer.getOutputAt(n)}return t}function isDataTensor(e){return e instanceof Tensor}function isDataArray(e){return Array.isArray(e)}function isDataDict(e){return!isDataTensor(e)&&!isDataArray(e)}function standardizeInputData(e,t,n,r,i){if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),null==t||0===t.length){if(null!=e){var a=!1;if(isDataArray(e)&&e.length>0)a=!0;else if(isDataDict(e)){for(var o in e)if(e.hasOwnProperty(o)){a=!0;break}}else a=!0;if(a)throw new ValueError(\"Error when checking model \"+i+\" expected no data, but got \"+e)}return[]}if(null==e)return t.map(function(e){return null});var s;if(isDataDict(e)){e=e,s=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(null==e[c])throw new ValueError('No data provided for \"'+c+'\". Need data for each key in: '+t);s.push(e[c])}}else if(isDataArray(e)){if((e=e).length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got the following list of Tensor(s): \"+e);s=e}else{if(e=e,t.length>1)throw new ValueError(\"The model \"+i+\" expects \"+t.length+\" Tensor(s), but only received one Tensor. Found: Tensor with shape \"+e.shape);s=[e]}for(var p=0;p<t.length;++p){1===(h=s[p]).shape.length&&(s[p]=expandDims(h,1))}if(null!=n)for(p=0;p<t.length;++p)if(null!=n[p]){var h;if((h=s[p]).shape.length!==n[p].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have \"+n[p].length+\" dimension(s). but got array with shape \"+h.shape);for(var d=0;d<n[p].length;++d)if(0!==d||r){var g=h.shape[d],f=n[p][d];if(null!=f&&f>=0&&g!==f)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[p]+\" to have shape [\"+n[p]+\"], but got array with shape [\"+h.shape+\"].\")}}return s}function checkArrayLengths(e,t,n){var r=unique(e.map(function(e){return e.shape[0]}));r.sort();var i=unique(t.map(function(e){return e.shape[0]}));if(i.sort(),r.length>1)throw new ValueError(\"All input Tensors (x) should have the same number of samples. Got array shapes: \"+JSON.stringify(e.map(function(e){return e.shape})));if(i.length>1)throw new ValueError(\"All target Tensors (y) should have the same number of samples. Got array shapes: \"+JSON.stringify(t.map(function(e){return e.shape})));if(r.length>0&&i.length>0&&!util.arraysEqual(r,i))throw new ValueError(\"Input Tensors should have the same number of samples as target Tensors. Found \"+r[0]+\" input sample(s) and \"+i[0]+\" target sample(s).\")}function checkLossAndTargetCompatibility(e,t,n){for(var r=[meanSquaredError,binaryCrossentropy,categoricalCrossentropy],i=0;i<e.length;++i){var a=e[i],o=t[i],s=n[i];if(null!=o){if(o===categoricalCrossentropy&&1===a.shape[a.shape.length-1])throw new ValueError(\"You are passing a target array of shape \"+a.shape+\" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].\");if(-1!==r.indexOf(o))for(var l=a.shape.slice(1),u=s.slice(1),c=0;c<l.length;++c){var p=l[c],h=u[c];if(null!=h&&p!==h)throw new ValueError(\"A target Tensor with shape \"+a.shape+\" was passed for an output of shape \"+s+\", while using a loss function that expects targets to have the same shape as the output.\")}}}}function makeBatches(e,t){for(var n=[],r=0,i=null;r<e;)(i=r+t)>=e&&(i=e),n.push([r,i]),r=i;return n}function sliceArrays(e,t,n){return null==e?[null]:Array.isArray(e)?e.map(function(e){return sliceAlongFirstAxis(e,t,n-t)}):sliceAlongFirstAxis(e,t,n-t)}function sliceArraysByIndices(e,t){return tidy(function(){return null==e?null:Array.isArray(e)?e.map(function(e){return sliceArraysByIndices(e,t)}):gather$1(e,\"int32\"===t.dtype?t:t.toInt())})}function checkInputData(e,t,n,r,i){var a;if(void 0===r&&(r=!0),void 0===i&&(i=\"\"),Array.isArray(e)){if(e.length!==t.length)throw new ValueError(\"Error when checking model \"+i+\": the Array of Tensors that you are passing to your model is not the size the the model expected. Expected to see \"+t.length+\" Tensor(s), but instead got \"+e.length+\" Tensors(s).\");a=e}else{if(t.length>1)throw new ValueError(\"The model expects \"+t.length+\" \"+i+\" Tensors, but only received one Tensor. Found: array with shape \"+JSON.stringify(e.shape)+\".\");a=[e]}if(null!=n)for(var o=0;o<t.length;++o)if(null!=n[o]){var s=a[o];if(s.shape.length!==n[o].length)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have \"+n[o].length+\" dimension(s), but got array with shape \"+JSON.stringify(s.shape));for(var l=0;l<n[o].length;++l)if(0!==l||r){var u=s.shape[l],c=n[o][l];if(null!=c&&c!==u)throw new ValueError(\"Error when checking \"+i+\": expected \"+t[o]+\" to have shape \"+JSON.stringify(n[o])+\" but got array with shape \"+JSON.stringify(s.shape)+\".\")}}}function collectMetrics(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map(function(e){return[]});if(Array.isArray(e))return t.map(function(t){return e});if(null!=e){for(var n=[],r=0,i=t;r<i.length;r++){var a=i[r],o=e.hasOwnProperty(a)?e[a]:[];Array.isArray(o)||(o=[o]),n.push(o)}return n}throw new TypeError(\"Type of metrics argument not understood. Expected an Array or Object, found: \"+e)}!function(e){e[e.SILENT=0]=\"SILENT\",e[e.VERBOSE=1]=\"VERBOSE\"}(ModelLoggingVerbosity||(ModelLoggingVerbosity={}));var Model=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.summary=function(e,t,n){if(void 0===n&&(n=console.log),!this.built)throw new ValueError(\"This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).\");printSummary(this,e,t,n)},t.prototype.compile=function(e){var t=this;if(null==e.loss&&(e.loss=[]),this.loss=e.loss,\"string\"==typeof e.optimizer)this.optimizer=getOptimizer(e.optimizer);else{if(!(e.optimizer instanceof Optimizer))throw new ValueError(\"User-defined optimizer must be an instance of tf.Optimizer.\");this.optimizer=e.optimizer}var n=[];if(Array.isArray(e.loss)||\"string\"==typeof e.loss||\"function\"==typeof e.loss)if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new ValueError(\"When passing an Array as loss, it should have one entry per model output. The model has \"+this.outputs.length+\" output(s), but you passed loss=\"+e.loss+\".\");var r=e.loss;n=r.map(function(e){return get(e)})}else{var i=get(e.loss);this.outputs.map(function(e){n.push(i)})}else{for(var a in e.loss=e.loss,e.loss)if(-1===this.outputNames.indexOf(a))throw new ValueError('Unknown entry in loss dictionary: \"'+a+'\". Only expect the following keys: '+this.outputNames);for(var o in this.outputNames)null==e.loss[o]&&console.warn('Output \"'+o+'\" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to '+o+\" during training\"),n.push(get(e.loss[o]))}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var s=0;s<this.outputs.length;++s){var l=this.internalOutputShapes[s],u=this.outputNames[s];this.feedOutputNames.push(u),this.feedOutputShapes.push(l),this.feedLossFns.push(this.lossFunctions[s])}var c=[];this.metrics=e.metrics,this.metricsNames=[\"loss\"],this.metricsTensors=[],nameScope$1(\"loss\",function(){for(var e=0;e<t.outputs.length;++e)if(-1===c.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+\"_loss\"))}});var p=collectMetrics(e.metrics,this.outputNames);nameScope$1(\"metric\",function(){for(var e=function(e){if(-1!==c.indexOf(e))return\"continue\";!function(n){for(var r,i,a,o=function(n){if(-1!==[\"accuracy\",\"acc\",\"crossentropy\",\"ce\"].indexOf(n)){var o=t.internalOutputShapes[e];1===o[o.length-1]||t.lossFunctions[e]===binaryCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=binaryAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=binaryCrossentropy$1):t.lossFunctions[e]===sparseCategoricalCrossentropy?-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=sparseCategoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=sparseCategoricalCrossentropy$1):-1!==[\"accuracy\",\"acc\"].indexOf(n)?i=categoricalAccuracy:-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(i=categoricalCrossentropy$1);var s=void 0;-1!==[\"accuracy\",\"acc\"].indexOf(n)?s=\"acc\":-1!==[\"crossentropy\",\"ce\"].indexOf(n)&&(s=\"ce\"),a=i,r=\"\"+s}else{var l=get$1(n);a=l,r=\"\"+n}var u;nameScope$1(r,function(){u=a}),function(e,n,r){t.outputNames.length>1&&(n=t.outputNames[e]+\"_\"+n),t.metricsNames.push(n),t.metricsTensors.push([r,e])}(e,r,u)},s=0,l=n;s<l.length;s++)o(l[s])}(p[e])},n=0;n<t.outputs.length;++n)e(n)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){null!=this.collectedTrainableWeights&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn(\"Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?\")},t.prototype.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize,i=this.standardizeUserData(e,t,!0,r),a=i[0].concat(i[1]);this.makeTestFunction();var o=this.testFunction;return singletonOrArray(this.testLoop(o,a,r,n.verbose,n.steps))},t.prototype.checkNumSamples=function(e,t,n,r){var i;if(void 0===r&&(r=\"steps\"),null!=n){if(i=null,null!=t)throw new ValueError(\"If \"+r+\" is set, batchSize must be null or undefined.Got batchSize = \"+t)}else{if(null==e)throw new ValueError(\"Either the input data should have a defined shape, or \"+r+\" shoud be specified.\");i=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return i},t.prototype.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new ValueError(\"`outputs` is an empty Array, which is not allowed.\");var n=Array.isArray(t),r=n?t:[t],i=this.retrieveSymbolicTensors(r),a=new FeedDict;if(e instanceof Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new ValueError(\"The number of inputs provided (\"+e.length+\") does not match the number of inputs of this model (\"+this.inputs.length+\").\");for(var o=0;o<this.inputs.length;++o)a.add(this.inputs[o],e[o])}else for(var s=0,l=this.inputs;s<l.length;s++){var u=l[s],c=e[u.name];if(null==c)throw new ValueError(\"No value is provided for the model's input \"+u.name);a.add(u,c)}var p=execute(i,a);return n?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var t=pyListRepeat(null,e.length),n=e.length,r=0,i=this.layers;r<i.length;r++){for(var a=i[r],o=Array.isArray(a.output)?a.output:[a.output],s=o.map(function(e){return e.name}),l=0;l<e.length;++l){var u=s.indexOf(e[l]);if(-1!==u&&(t[l]=o[u],n--),0===n)break}if(0===n)break}if(n>0){var c=[];throw t.forEach(function(t,n){null==t&&c.push(e[n])}),new ValueError(\"Cannot find SymbolicTensors for output name(s): \"+JSON.stringify(c))}return t},t.prototype.predictLoop=function(e,t,n){var r=this;void 0===t&&(t=32),void 0===n&&(n=!1);var i=this.checkNumSamples(e);if(n)throw new NotImplementedError(\"Verbose predictLoop() is not implemented yet.\");for(var a=makeBatches(i,t),o=[],s=function(t){var n=tidy(function(){var n=a[t][0],i=a[t][1],o=sliceArrays(e,n,i),s=[];if(Array.isArray(o))for(var l=0;l<o.length;++l)s.push({key:r.inputs[l],value:o[l]});else s.push({key:r.inputs[0],value:o});var u=new FeedDict(s);return execute(r.outputs,u)});if(0===t)for(var i=0,s=n;i<s.length;i++){var l=s[i];o.push(l)}else for(var u=0;u<n.length;++u)o[u]=concatAlongFirstAxis(o[u],n[u])},l=0;l<a.length;++l)s(l);return singletonOrArray(o)},t.prototype.predict=function(e,t){void 0===t&&(t={}),checkInputData(e,this.inputNames,this.feedInputShapes,!1);var n=null==t.batchSize?32:t.batchSize;return this.predictLoop(e,n)},t.prototype.predictOnBatch=function(e){return checkInputData(e,this.inputNames,this.feedInputShapes,!0),this.predictLoop(e,e.shape[0])},t.prototype.standardizeUserData=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer)throw new RuntimeError(\"You must compile a model before training/testing. Use Model.compile(modelCompileConfig).\");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var o=this.feedOutputShapes[a];this.feedLossFns[a]===sparseCategoricalCrossentropy?i.push(o.slice(0,o.length-1).concat([1])):i.push(o)}if(checkArrayLengths(e=standardizeInputData(e,this.feedInputNames,this.feedInputShapes,!1,\"input\"),t=standardizeInputData(t,this.feedOutputNames,i,!1,\"target\"),null),checkLossAndTargetCompatibility(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new ValueError(\"In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size \"+r+\". Found: \"+e[0].shape[0]+\" sample(s).\");return[e,t,null]},t.prototype.fitLoop=function(e,t,n,r,i,a,o,s,l,u,c,p,h,d){return void 0===p&&(p=0),__awaiter(this,void 0,void 0,function(){var g,f,m,y,v,b,z,w=this;return __generator(this,function(S){switch(S.label){case 0:if(null==r&&(r=32),null==i&&(i=1),null==u&&(u=!0),null==p&&(p=0),g=!1,null!=s&&null!=l&&(g=!0),null!=d&&(g=!0,null==h))throw new ValueError(\"Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.\");if(null!=(f=this.checkNumSamples(t,r,h,\"steps_per_epoch\"))&&(m=range(0,f)),this.history=new History,o=(o=null==o?[new BaseLogger]:[new BaseLogger].concat(o)).concat([this.history]),a>0)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");return(y=new CallbackList(o)).setModel(this),y.setParams({epochs:i,steps:h,verbose:a,doValidation:g,metrics:c}),[4,y.onTrainBegin()];case 1:S.sent(),this.stopTraining=!1,v=function(i){var a,o,c,p,d;return __generator(this,function(v){switch(v.label){case 0:return[4,y.onEpochBegin(i)];case 1:if(v.sent(),a={},null==h)return[3,2];throw new NotImplementedError(\"stepsPerEpoch mode is not implemented yet.\");case 2:if(\"batch\"===u)throw new NotImplementedError(\"batch shuffling is not implemneted yet\");u&&util.shuffle(m),o=tensor1d(m),c=makeBatches(f,r),p=function(i){var u;return __generator(this,function(p){switch(p.label){case 0:return u={},[4,y.onBatchBegin(i,u)];case 1:return p.sent(),tidy(function(){var p=c[i][0],h=c[i][1],d=sliceAlongFirstAxis(o,p,h-p);u.batch=i,u.size=h-p;for(var f=sliceArraysByIndices(t,d),m=e(f),y=0;y<n.length;++y){var v=n[y],b=m[y];u[v]=b,keep(b)}if(i===c.length-1&&g){var z=w.testLoop(s,l,r);for(y=0;y<n.length;++y){v=n[y],b=z[y];keep(b),a[\"val_\"+v]=b}}}),[4,y.onBatchEnd(i,u)];case 2:return p.sent(),disposeTensorsInLogs(u),b.stopTraining?[2,\"break\"]:[2]}})},d=0,v.label=3;case 3:return d<c.length?[5,p(d)]:[3,6];case 4:if(\"break\"===v.sent())return[3,6];v.label=5;case 5:return++d,[3,3];case 6:o.dispose(),v.label=7;case 7:return[4,y.onEpochEnd(i,a)];case 8:return v.sent(),b.stopTraining?[2,\"break\"]:[2]}})},b=this,z=p,S.label=2;case 2:return z<i?[5,v(z)]:[3,5];case 3:if(\"break\"===S.sent())return[3,5];S.label=4;case 4:return++z,[3,2];case 5:return[4,y.onTrainEnd()];case 6:return S.sent(),[4,this.history.syncData()];case 7:return S.sent(),[2,this.history]}})})},t.prototype.testLoop=function(e,t,n,r,i){void 0===r&&(r=0);var a=this.checkNumSamples(t,n,i,\"steps\"),o=[];if(1===r)throw new NotImplementedError(\"Verbose mode is not implemented yet.\");if(null!=i)throw new NotImplementedError(\"steps mode in testLoop() is not implemented yet\");for(var s=makeBatches(a,n),l=tensor1d(range(0,a)),u=0;u<s.length;++u){var c=s[u][0],p=s[u][1],h=e(sliceArraysByIndices(t,sliceAlongFirstAxis(l,c,p-c)));if(0===u)for(var d=0;d<h.length;++d)o.push(getScalar(0));for(d=0;d<h.length;++d){var g=h[d];o[d]=add(o[d],scalarTimesArray(getScalar(p-c),g))}}for(d=0;d<o.length;++d)o[d]=div(o[d],getScalar(a));return o},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],i=r;if(count(e,r)>1)i+=\"_\"+count(e.slice(0,n),r);t.push(i)}return t},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(t){return tidy(function(){for(var n,r=[],i=t.slice(0,e.inputs.length),a=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:i[s]});var l=new FeedDict(o),u=execute(e.outputs,l);for(s=0;s<e.lossFunctions.length;++s){var c=e.lossFunctions[s],p=mean(c(a[s],u[s]));n=0===s?p:add(n,p),r.push(n)}for(s=0;s<e.metricsTensors.length;++s){var h=e.metricsTensors[s][0],d=e.metricsTensors[s][1],g=mean(h(a[d],u[d]));r.push(g)}return r})}},t.prototype.fit=function(e,t,n){return void 0===n&&(n={}),__awaiter(this,void 0,void 0,function(){var r,i,a,o,s,l,u,c,p,h,d,g,f,m,y,v,b,z,w,S=this;return __generator(this,function(I){switch(I.label){case 0:if(r=null==n.batchSize?32:n.batchSize,i=this.standardizeUserData(e,t,!1,r),a=i[0],o=i[1],s=!1,p=!1,null!=n.validationData&&n.validationData.length>0){if(s=!0,2!==n.validationData.length)throw 3===n.validationData.length?new NotImplementedError(\"validationData including sample weights is not supported yet.\"):new ValueError(\"When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; \"+n.validationData+\" is invalid.\");l=n.validationData[0],u=n.validationData[1],h=this.standardizeUserData(l,u,!0,r),l=h[0],u=h[1],c=l.concat(u)}else null!=n.validationSplit&&n.validationSplit>0&&n.validationSplit<1?(s=!0,d=Math.floor(a[0].shape[0]*(1-n.validationSplit)),g=a[0].shape[0],l=sliceArrays(a,d,g),a=sliceArrays(a,0,d),u=sliceArrays(o,d,g),o=sliceArrays(o,0,d),p=!0,c=l.concat(u)):null!=n.validationSteps&&(s=!0);return f=a.concat(o),this.checkTrainableWeightsConsistency(),m=function(e){var t=e.slice(0,S.inputs.length),n=e.slice(S.inputs.length,S.inputs.length+S.outputs.length),r=[],i=S.collectedTrainableWeights.map(function(e){return e.read()});return[S.optimizer.minimize(function(){for(var e=[],i=0;i<S.inputs.length;++i)e.push({key:S.inputs[i],value:t[i]});var a,o=new FeedDict(e),s=execute(S.outputs,o,{training:!0});for(i=0;i<S.lossFunctions.length;++i){var l=(0,S.lossFunctions[i])(n[i],s[i]);mean(l),a=0===i?l:add(a,l)}for(i=0;i<S.metricsTensors.length;++i){var u=S.metricsTensors[i][0],c=S.metricsTensors[i][1],p=mean(u(n[c],s[c]));keep(p),r.push(p)}return a=mean(a),S.calculateLosses().forEach(function(e){a=add(a,e)}),a},!0,i)].concat(r)},y=this.getDedupedMetricsNames(),s?(this.makeTestFunction(),v=this.testFunction,b=y.slice().concat(y.map(function(e){return\"val_\"+e}))):(v=null,c=[],b=y.slice()),z=standardizeCallbacks(n.callbacks),[4,this.fitLoop(m,f,y,r,n.epochs,n.verbose,z,v,c,n.shuffle,b,null,null,null)];case 1:return w=I.sent(),p&&(c.forEach(function(e){return e.dispose()}),a.forEach(function(e){return e.dispose()}),o.forEach(function(e){return e.dispose()})),[2,w]}})})},t.prototype.getNamedWeights=function(e){for(var t={},n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||(t[r[a].originalName]=i[a]);return t},t.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(\"string\"==typeof e){if(0===(n=io.getSaveHandlers(e)).length)throw new ValueError(\"Cannot find any save handlers for URL '\"+e+\"'\");if(n.length>1)throw new ValueError(\"Found more than one (\"+n.length+\") save handlers for URL '\"+e+\"'\");e=n[0]}if(null==e.save)throw new ValueError(\"Model.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.\");return[4,io.encodeWeights(this.getNamedWeights(t))];case 1:return r=s.sent(),i=!1,a=null,o=this.toJSON(a,i),[2,e.save({modelTopology:o,weightData:r.data,weightSpecs:r.specs})]}})})},t.className=\"Model\",__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"summary\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[0]})],t.prototype,\"compile\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[2]})],t.prototype,\"evaluate\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[1]})],t.prototype,\"predict\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t.prototype,\"predictOnBatch\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[2]})],t.prototype,\"fit\",null),__decorate([doc({heading:\"Models\",subheading:\"Classes\",configParamIndices:[1]})],t.prototype,\"save\",null),t=__decorate([doc({heading:\"Models\",subheading:\"Classes\"})],t)}(Container);serialization.SerializationMap.register(Model);var VALID_FAN_MODE_VALUES=[\"fanIn\",\"fanOut\",\"fanAvg\"];function checkFanMode(e){checkStringTypeUnionValue(VALID_FAN_MODE_VALUES,\"FanMode\",e)}var VALID_DISTRIBUTION_VALUES=[\"normal\",\"uniform\"];function checkDistribution(e){checkStringTypeUnionValue(VALID_DISTRIBUTION_VALUES,\"Distribution\",e)}var Initializer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t=__decorate([doc({heading:\"Initializers\",subheading:\"Classes\",namespace:\"initializers\"})],t)}(serialization.Serializable),Zeros=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return zeros(e,t)},t.className=\"Zeros\",t}(Initializer);serialization.SerializationMap.register(Zeros);var Ones=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return ones(e,t)},t.className=\"Ones\",t}(Initializer);serialization.SerializationMap.register(Ones);var Constant=function(e){function t(t){var n=e.call(this)||this;return n.value=t.value,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){return scalarTimesArray(scalar(n.value),ones(e,t))})},t.prototype.getConfig=function(){return{value:this.value}},t.className=\"Constant\",t}(Initializer);serialization.SerializationMap.register(Constant);var RandomUniform=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MINVAL=-.05,n.DEFAULT_MAXVAL=.05,n.minval=t.minval||n.DEFAULT_MINVAL,n.maxval=t.maxval||n.DEFAULT_MAXVAL,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){return randomUniform(e,this.minval,this.maxval,t)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className=\"RandomUniform\",t}(Initializer);serialization.SerializationMap.register(RandomUniform);var RandomNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"bool\"===t)throw new NotImplementedError(\"randomNormal does not support dType bool.\");return randomNormal$1(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"RandomNormal\",t}(Initializer);serialization.SerializationMap.register(RandomNormal);var TruncatedNormal=function(e){function t(t){var n=e.call(this)||this;return n.DEFAULT_MEAN=0,n.DEFAULT_STDDEV=.05,n.mean=t.mean||n.DEFAULT_MEAN,n.stddev=t.stddev||n.DEFAULT_STDDEV,n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){if(\"bool\"===t)throw new NotImplementedError(\"truncatedNormal does not support dType bool.\");return truncatedNormal(e,this.mean,this.stddev,t,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className=\"TruncatedNormal\",t}(Initializer);serialization.SerializationMap.register(TruncatedNormal);var Identity=function(e){function t(t){var n=e.call(this)||this;return n.gain=null!=t.gain?scalar(t.gain):getScalar(1),n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length||e[0]!==e[1])throw new ValueError(\"Identity matrix initializer can only be used for 2D square matrices.\");return scalarTimesArray(n.gain,eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain.get()}},t.className=\"Identity\",t}(Initializer);function computeFans(e,t){var n,r;if(void 0===t&&(t=\"channelsLast\"),checkDataFormat(t),2===e.length)n=e[0],r=e[1];else if(-1!==[3,4,5].indexOf(e.length)){if(\"channelsFirst\"===t){var i=arrayProd(e,2);n=e[1]*i,r=e[0]*i}else if(\"channelsLast\"===t){i=arrayProd(e,0,e.length-2);n=e[e.length-2]*i,r=e[e.length-1]*i}}else{var a=arrayProd(e);n=Math.sqrt(a),r=Math.sqrt(a)}return[n,r]}serialization.SerializationMap.register(Identity);var VarianceScaling=function(e){function t(t){var n=e.call(this)||this;if(t.scale<0)throw new ValueError(\"scale must be a positive float. Got: \"+t.scale);return n.scale=null==t.scale?1:t.scale,n.mode=t.mode,checkFanMode(n.mode),n.distribution=t.distribution,checkDistribution(n.distribution),n.seed=t.seed,n}return __extends(t,e),t.prototype.apply=function(e,t){var n=computeFans(e),r=n[0],i=n[1],a=this.scale;if(\"fanIn\"===this.mode?a/=Math.max(1,r):\"fanOut\"===this.mode?a/=Math.max(1,i):a/=Math.max(1,(r+i)/2),\"normal\"===this.distribution){var o=Math.sqrt(a);if(\"bool\"===t)throw new NotImplementedError(this.getClassName()+\" does not support dType bool.\");return truncatedNormal(e,0,o,t,this.seed)}var s=Math.sqrt(3*a);return randomUniform(e,-s,s,t)},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className=\"VarianceScaling\",t}(Initializer);serialization.SerializationMap.register(VarianceScaling);var GlorotUniform=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"uniform\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),GlorotNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanAvg\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),HeNormal=function(e){function t(t){return e.call(this,{scale:2,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),LeCunNormal=function(e){function t(t){return e.call(this,{scale:1,mode:\"fanIn\",distribution:\"normal\",seed:null==t?null:t.seed})||this}return __extends(t,e),t.prototype.getClassName=function(){return VarianceScaling.className},t}(VarianceScaling),Orthogonal=function(e){function t(t){var n=e.call(this)||this;if(n.DEFAULT_GAIN=1,n.gain=null==t.gain?n.DEFAULT_GAIN:t.gain,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Random seed is not implemented for Orthogonal Initializer yet.\");return n}return __extends(t,e),t.prototype.apply=function(e,t){var n=this;return tidy(function(){if(2!==e.length)throw new NotImplementedError(\"The Orthogonal Initializer does not support non-2D shapes yet.\");e[0]*e[1]>2e3&&console.warn(\"Orthogonal initializer is being called on a matrix with more than 2000 (\"+e[0]*e[1]+\") elements: Slowness may result.\");var t=randomNormal$1(e[0]>e[1]?[e[1],e[0]]:e,0,1,\"float32\"),r=linalg.gramSchmidt(t);return e[0]>e[1]&&(r=r.transpose()),scalarTimesArray(getScalar(n.gain),r)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className=\"Orthogonal\",t}(Initializer);serialization.SerializationMap.register(Orthogonal);var INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={constant:\"Constant\",glorotNormal:\"GlorotNormal\",glorotUniform:\"GlorotUniform\",heNormal:\"HeNormal\",identity:\"Identity\",leCunNormal:\"LeCunNormal\",ones:\"Ones\",orthogonal:\"Orthogonal\",randomNormal:\"RandomNormal\",randomUniform:\"RandomUniform\",truncatedNormal:\"TruncatedNormal\",varianceScaling:\"VarianceScaling\",zeros:\"Zeros\"};function deserializeInitializer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"initializer\")}function serializeInitializer(e){return serializeKerasObject(e)}function getInitializer(e){if(\"string\"==typeof e){var t=e in INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?INITIALIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e;return\"GlorotUniform\"===t?new GlorotUniform:\"GlorotNormal\"===t?new GlorotNormal:\"HeNormal\"===t?new HeNormal:\"LeCunNormal\"===t?new LeCunNormal:deserializeInitializer({className:t,config:{}})}return e instanceof Initializer?e:deserializeInitializer(e)}var Activation=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.getConfig=function(){return{}},t}(serialization.Serializable),Elu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=1),elu$1(e,t)},t.className=\"elu\",t}(Activation);serialization.SerializationMap.register(Elu);var Selu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return selu(e)},t.className=\"selu\",t}(Activation);serialization.SerializationMap.register(Selu);var Relu=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return relu(e)},t.className=\"relu\",t}(Activation);serialization.SerializationMap.register(Relu);var Relu6=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tidy(function(){return minimum(getScalar(6),relu(e))})},t.className=\"relu6\",t}(Activation);serialization.SerializationMap.register(Relu6);var Linear=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return e},t.className=\"linear\",t}(Activation);serialization.SerializationMap.register(Linear);var Sigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return sigmoid(e)},t.className=\"sigmoid\",t}(Activation);serialization.SerializationMap.register(Sigmoid);var HardSigmoid=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return hardSigmoid(e)},t.className=\"hardSigmoid\",t}(Activation);serialization.SerializationMap.register(HardSigmoid);var Softplus=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softplus(e)},t.className=\"softplus\",t}(Activation);serialization.SerializationMap.register(Softplus);var Softsign=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return softsign(e)},t.className=\"softsign\",t}(Activation);serialization.SerializationMap.register(Softsign);var Tanh=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e){return tanh(e)},t.className=\"tanh\",t}(Activation);serialization.SerializationMap.register(Tanh);var Softmax=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){return void 0===t&&(t=-1),softmax(e,t)},t.className=\"softmax\",t}(Activation);function serializeActivation(e){return e.getClassName()}function deserializeActivation(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"activation\")}function getActivation(e){return null==e?deserializeActivation({className:\"linear\",config:{}}):\"string\"==typeof e?deserializeActivation({className:e,config:{}}):e instanceof Activation?e:deserializeActivation(e)}serialization.SerializationMap.register(Softmax);var LeakyReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_ALPHA=.3,null==t&&(t={}),n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return leakyRelu(n,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LeakyReLU\",t}(Layer);serialization.SerializationMap.register(LeakyReLU);var ELU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new NotImplementedError(\"Non-default alpha value (\"+t.alpha+\") is not supported by the ELU layer yet.\");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return elu(n)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ELU\",t}(Layer);serialization.SerializationMap.register(ELU);var ThresholdedReLU=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n.thetaTensor=getScalar(n.theta),n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return n.mul(cast(n.greater(this.thetaTensor),\"float32\"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ThresholdedReLU\",t}(Layer);serialization.SerializationMap.register(ThresholdedReLU);var Softmax$1=function(e){function t(t){var n=e.call(this,null==t?{}:t)||this;return n.DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new Softmax).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}return __extends(t,e),t.prototype.call=function(e,t){var n=getExactlyOneTensor(e);return this.softmax(n,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Softmax\",t}(Layer);serialization.SerializationMap.register(Softmax$1);var Regularizer=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t}(serialization.Serializable),L1L2=function(e){function t(t){var n=e.call(this)||this,r=null==t||null==t.l1?.01:t.l1,i=null==t||null==t.l2?.01:t.l2;return n.hasL1=0!==r,n.hasL2=0!==i,n.l1=getScalar(r),n.l2=getScalar(i),n}return __extends(t,e),t.prototype.apply=function(e){var t=this;return tidy(function(){var n=zeros([1]);return t.hasL1&&(n=add(n,sum(scalarTimesArray(t.l1,abs(e))))),t.hasL2&&(n=add(n,sum(scalarTimesArray(t.l2,square(e))))),n.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1.dataSync()[0],l2:this.l2.dataSync()[0]}},t.fromConfig=function(e,t){return new e({l1:t.l1,l2:t.l2})},t.className=\"L1L2\",t=__decorate([doc({heading:\"Regularizers\",namespace:\"regularizers\"})],t)}(Regularizer);function l1(e){return new L1L2({l1:null!=e?e.l1:null,l2:0})}function l2(e){return new L1L2({l2:null!=e?e.l2:null,l1:0})}serialization.SerializationMap.register(L1L2);var REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP={l1l2:\"L1L2\"};function serializeRegularizer(e){return serializeKerasObject(e)}function deserializeRegularizer(e,t){return void 0===t&&(t={}),deserializeKerasObject(e,serialization.SerializationMap.getMap().classNameMap,t,\"regularizer\")}function getRegularizer(e){return null==e?null:\"string\"==typeof e?deserializeRegularizer({className:e in REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP?REGULARIZER_IDENTIFIER_REGISTRY_SYMBOL_MAP[e]:e,config:{}}):e instanceof Regularizer?e:deserializeRegularizer(e)}function normalizeArray(e,t,n){if(\"number\"==typeof e)return pyListRepeat(e,t);if(e.length!==t)throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+e.length+\" elements.\");for(var r=0;r<t;++r){var i=e[r];if(!isInteger(i))throw new ValueError(\"The \"+n+\" argument must be a tuple of \"+t+\" integers. Received: \"+JSON.stringify(e)+\" including a non-integer number \"+i)}return e}function convOutputLength(e,t,n,r,i){return void 0===i&&(i=1),null==e?e:(a=\"same\"===n?e:e-(t+(t-1)*(i-1))+1,Math.floor((a+r-1)/r));var a}function deconvLength(e,t,n,r){if(null==e)return null;if(\"valid\"===r)e=e*t+max$1([n-t,0]);else{if(\"same\"!==r)throw new ValueError(\"Unsupport padding mode: \"+r+\".\");e*=t}return e}function preprocessConv2DInput(e,t){return tidy(function(){return checkDataFormat(t),\"channelsFirst\"===t?transpose(e,[0,2,3,1]):e})}function conv1dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=1),void 0===i&&(i=\"valid\"),void 0===o&&(o=1),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.shape.length)throw new ValueError(\"The input of a conv1dWithBias operation should be 3, but is \"+e.shape.length+\" instead.\");if(3!==t.shape.length)throw new ValueError(\"The kernel for a conv1dWithBias operation should be 3, but is \"+t.shape.length+\" instead\");if(null!=n&&1!==n.shape.length)throw new ValueError(\"The bias for a conv1dWithBias operation should be 1, but is \"+t.shape.length+\" instead\");if(\"channelsFirst\"===a&&(e=transpose(e,[0,2,1])),\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");var s=conv1d(e,t,r,\"same\"===i?\"same\":\"valid\",\"NWC\",o);return null!=n&&(s=biasAdd(s,n)),s})}function conv2dWithBias(e,t,n,r,i,a,o){return void 0===r&&(r=[1,1]),void 0===i&&(i=\"valid\"),tidy(function(){if(null==a&&(a=imageDataFormat()),checkDataFormat(a),3!==e.rank&&4!==e.rank)throw new ValueError(\"conv2dWithBias expects input to be of rank 3 or 4, but received \"+e.rank+\".\");if(3!==t.rank&&4!==t.rank)throw new ValueError(\"conv2dWithBias expects kernel to be of rank 3 or 4, but received \"+e.rank+\".\");var s=preprocessConv2DInput(e,a);if(\"causal\"===i)throw new NotImplementedError(\"The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.\");return s=conv2d(s,t,r,\"same\"===i?\"same\":\"valid\",\"NHWC\",o),null!=n&&(s=biasAdd(s,n)),\"channelsFirst\"===a&&(s=transpose(s,[0,3,1,2])),s})}var BaseConv=function(e){function t(n,r){var i=e.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",i.DEFAULT_BIAS_INITIALIZER=\"zeros\",t.verifyConfig(r),i.rank=n,1!==i.rank&&2!==i.rank)throw new NotImplementedError(\"Convolution layer for rank other than 1 or 2 (\"+i.rank+\") is not implemented yet.\");if(i.kernelSize=normalizeArray(r.kernelSize,n,\"kernelSize\"),i.strides=normalizeArray(null==r.strides?1:r.strides,n,\"strides\"),i.padding=null==r.padding?\"valid\":r.padding,checkPaddingMode(i.padding),i.dataFormat=null==r.dataFormat?\"channelsLast\":r.dataFormat,checkDataFormat(i.dataFormat),i.activation=getActivation(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=getInitializer(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=getConstraint(r.biasConstraint),i.biasRegularizer=getRegularizer(r.biasRegularizer),i.activityRegularizer=getRegularizer(r.activityRegularizer),i.dilationRate=null==r.dilationRate?1:r.dilationRate,1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or an array of a single number for 1D convolution, but received \"+JSON.stringify(i.dilationRate));if(2===i.rank)if(\"number\"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new ValueError(\"dilationRate must be a number or array of two numbers for 2D convolution, but received \"+JSON.stringify(i.dilationRate));return i}return __extends(t,e),t.verifyConfig=function(e){if(assert(\"kernelSize\"in e,\"required key 'kernelSize' not in config\"),\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"BaseConv expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t}(Layer),Conv=function(e){function t(n,r){var i=e.call(this,n,r)||this;return i.kernel=null,t.verifyConfig(r),i.filters=r.filters,i.kernelInitializer=getInitializer(r.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=getConstraint(r.kernelConstraint),i.kernelRegularizer=getRegularizer(r.kernelRegularizer),i}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the input should be defined. Found \"+e[t]);var n,r=e[t],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight(\"kernel\",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(n={},n[t]=r,n)}],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;e=getExactlyOneTensor(e);var r=null==n.bias?null:n.bias.read();if(1===n.rank)t=conv1dWithBias(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate);else if(2===n.rank)t=conv2dWithBias(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else if(3===n.rank)throw new NotImplementedError(\"3D convolution is not implemented yet.\");return null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);for(var t=[],n=\"channelsLast\"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var i=convOutputLength(n[r],this.kernelSize[r],this.padding,this.strides[r],\"number\"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(i)}var a=[e[0]];return\"channelsLast\"===this.dataFormat?(a=a.concat(t)).push(this.filters):(a.push(this.filters),a=a.concat(t)),a},t.prototype.getConfig=function(){var t={rank:this.rank,filters:this.filters,kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyConfig=function(e){if(!(\"filters\"in e)||\"number\"!=typeof e.filters||e.filters<1)throw new ValueError(\"Convolution layer expected config.filters to be a 'number' > 0 but got \"+JSON.stringify(e.filters))},t}(BaseConv),Conv2D=function(e){function t(n){var r=e.call(this,2,n)||this;return t.verifyConfig(n),r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,2))throw new ValueError(\"Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv2D\",t}(Conv);serialization.SerializationMap.register(Conv2D);var Conv2DTranspose=function(e){function t(t){var n=e.call(this,t)||this;if(n.inputSpec=[new InputSpec({ndim:4})],\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode \"+n.padding);return n}return __extends(t,e),t.prototype.build=function(e){if(4!==(e=getExactlyOneShape(e)).length)throw new ValueError(\"Input should have rank 4; Received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t])throw new ValueError(\"The channel dimension of the inputs should be defined. Found `None`.\");var n,r=e[t],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight(\"kernel\",i,\"float32\",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new InputSpec({ndim:4,axes:(n={},n[t]=r,n)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);if(4!==t.shape.length)throw new ValueError(\"Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-\"+t.shape.length);var r,i,a=t.shape,o=a[0];\"channelsFirst\"===n.dataFormat?(r=2,i=3):(r=1,i=2);var s=a[r],l=a[i],u=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],d=[o,deconvLength(s,p,u,n.padding),deconvLength(l,h,c,n.padding),n.filters];\"channelsLast\"!==n.dataFormat&&(t=transpose(t,[0,2,3,1]));var g=conv2dTranspose(t,n.kernel.read(),d,n.strides,n.padding);return\"channelsLast\"!==n.dataFormat&&(g=transpose(g,[0,3,1,2])),null!=n.bias&&(g=biasAdd(g,n.bias.read(),n.dataFormat)),null!=n.activation&&(g=n.activation.apply(g)),g})},t.prototype.computeOutputShape=function(e){var t,n,r,i=(e=getExactlyOneShape(e)).slice();\"channelsFirst\"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var a=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],l=this.strides[1];return i[t]=this.filters,i[n]=deconvLength(i[n],s,a,this.padding),i[r]=deconvLength(i[r],l,o,this.padding),i},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t.className=\"Conv2DTranspose\",t}(Conv2D);serialization.SerializationMap.register(Conv2DTranspose);var SeparableConv=function(e){function t(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER=\"glorotUniform\",r.DEFAULT_POINTWISE_INITIALIZER=\"glorotUniform\",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new ValueError(\"The `filters` configuration field is required by SeparableConv, but is unspecified.\");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new ValueError(\"Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.\");if(null!=n.padding&&\"same\"!==n.padding&&\"valid\"!==n.padding)throw new ValueError(\"SeparableConv\"+r.rank+\"D supports only padding modes: 'same' and 'valid', but received \"+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=getRegularizer(n.depthwiseRegularizer),r.depthwiseConstraint=getConstraint(n.depthwiseConstraint),r.pointwiseInitializer=getInitializer(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=getRegularizer(n.pointwiseRegularizer),r.pointwiseConstraint=getConstraint(n.pointwiseConstraint),r}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<this.rank+2)throw new ValueError(\"Inputs to SeparableConv\"+this.rank+\"D should have rank \"+(this.rank+2)+\", but received input shape: \"+JSON.stringify(e));var t=\"channelsFirst\"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs should be defined, but found \"+JSON.stringify(e[t]));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),i=[],a=0;a<this.rank;++a)i.push(1);i.push(n*this.depthMultiplier,this.filters);var o;this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,\"float32\",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight(\"pointwise_kernel\",i,\"float32\",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.filters],\"float32\",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new InputSpec({ndim:this.rank+2,axes:(o={},o[t]=n,o)})],this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t;if(e=getExactlyOneTensor(e),1===n.rank)throw new NotImplementedError(\"1D separable convolution is not implemented yet.\");return 2===n.rank&&(\"channelsFirst\"===n.dataFormat&&(e=transpose(e,[0,2,3,1])),t=separableConv2d(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,\"NHWC\")),n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),\"channelsFirst\"===n.dataFormat&&(t=transpose(t,[0,3,1,2])),t})},t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=serializeInitializer(this.depthwiseInitializer),t.pointwiseInitializer=serializeInitializer(this.pointwiseInitializer),t.depthwiseRegularizer=serializeRegularizer(this.depthwiseRegularizer),t.pointwiseRegularizer=serializeRegularizer(this.pointwiseRegularizer),t.depthwiseConstraint=serializeConstraint(this.depthwiseConstraint),t.pointwiseConstraint=serializeConstraint(this.pointwiseConstraint),t},t.className=\"SeparableConv\",t}(Conv),SeparableConv2D=function(e){function t(t){return e.call(this,2,t)||this}return __extends(t,e),t.className=\"SeparableConv2D\",t}(SeparableConv);serialization.SerializationMap.register(SeparableConv2D);var Conv1D=function(e){function t(n){var r=e.call(this,1,n)||this;return t.verifyConfig(n),r.inputSpec=[{ndim:3}],r}return __extends(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyConfig=function(e){if(\"number\"!=typeof e.kernelSize&&!checkArrayTypeAndLength(e.kernelSize,\"number\",1,1))throw new ValueError(\"Conv1D expects config.kernelSize to be number or number[] with length 1, but received \"+JSON.stringify(e.kernelSize)+\".\")},t.className=\"Conv1D\",t}(Conv);serialization.SerializationMap.register(Conv1D);var Cropping2D=function(e){function t(t){var n=e.call(this,t)||this;return\"number\"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:\"number\"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n.inputSpec=[{ndim:4}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return\"channelsFirst\"===this.dataFormat?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return e=getExactlyOneTensor(e),\"channelsLast\"===n.dataFormat?sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2),n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3):sliceAlongAxis(sliceAlongAxis(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3),n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)})},t.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Cropping2D\",t}(Layer);serialization.SerializationMap.register(Cropping2D);var UpSampling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=void 0===t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=void 0===t.dataFormat?\"channelsLast\":t.dataFormat,n}return __extends(t,e),t.prototype.computeOutputShape=function(e){if(\"channelsFirst\"===this.dataFormat){var t=this.size[0]*e[2],n=this.size[1]*e[3];return[e[0],e[1],t,n]}t=this.size[0]*e[1],n=this.size[1]*e[2];return[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e),r=t.shape;if(\"channelsFirst\"===n.dataFormat){t=transpose(t,[0,2,3,1]);var i=n.size[0]*r[2],a=n.size[1]*r[3],o=t.resizeNearestNeighbor([i,a]);return transpose(o,[0,3,1,2])}i=n.size[0]*r[1],a=n.size[1]*r[2];return t.resizeNearestNeighbor([i,a])})},t.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"UpSampling2D\",t}(Layer);function depthwiseConv2d$1(e,t,n,r,i,a){return void 0===n&&(n=[1,1]),void 0===r&&(r=\"valid\"),tidy(function(){null==i&&(i=imageDataFormat()),checkDataFormat(i);var o=preprocessConv2DInput(e,i);if(4!==e.rank)throw new ValueError(\"Input for depthwiseConv2d is required to be 4-D, but is instead \"+e.rank+\"-D\");if(4!==t.rank)throw new ValueError(\"depthwiseKernel is required to be 4-D, but is instead \"+t.rank+\"-D\");return o=depthwiseConv2d(o,t,n,\"same\"===r?\"same\":\"valid\",\"NHWC\",a),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.SerializationMap.register(UpSampling2D);var DepthwiseConv2D=function(e){function t(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=getInitializer(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=getConstraint(t.depthwiseConstraint),n.depthwiseRegularizer=getRegularizer(t.depthwiseRegularizer),n}return __extends(t,e),t.prototype.build=function(e){if((e=getExactlyOneShape(e)).length<4)throw new ValueError(\"Inputs to DepthwiseConv2D should have rank 4. Received input shape: \"+JSON.stringify(e)+\".\");var t=\"channelsFirst\"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new ValueError(\"The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (\"+e[t]+\").\");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight(\"depthwise_kernel\",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=depthwiseConv2d$1(e=getExactlyOneTensor(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=biasAdd(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t})},t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2],r=\"channelsFirst\"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,i=convOutputLength(t,this.kernelSize[0],this.padding,this.strides[0]),a=convOutputLength(n,this.kernelSize[1],this.padding,this.strides[1]);return\"channelsFirst\"===this.dataFormat?[e[0],r,i,a]:[e[0],i,a,r]},t.className=\"DepthwiseConv2D\",t}(BaseConv);serialization.SerializationMap.register(DepthwiseConv2D);var Dropout=function(e){function t(t){var n=e.call(this,t)||this;if(n.rate=Math.max(Math.min(t.rate,1),0),n.rateScalar=getScalar(n.rate),n.noiseShape=t.noiseShape,n.seed=t.seed,null!=n.seed)throw new NotImplementedError(\"Non-default seed is not implemented in Dropout layer yet: \"+n.seed);return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);if(null!=n.noiseShape&&!util.arraysEqual(r.shape,n.noiseShape))throw new NotImplementedError(\"Non-default noise shape is not implemented in Dropout layer yet: \"+JSON.stringify(n.noiseShape));if(0<n.rate&&n.rate<1){var i=null!=t.training&&t.training,a=n.getNoiseShape(r);return inTrainPhase(function(){return dropout(r,n.rateScalar,a,n.seed)},function(){return r},i)}return e})},t.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dropout\",t}(Layer);serialization.SerializationMap.register(Dropout);var Dense=function(e){function t(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,n.activation=getActivation(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=getConstraint(t.kernelConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.inputSpec=[{minNDim:2}],n}return __extends(t,e),t.prototype.build=function(e){var t,n=(e=getExactlyOneShape(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight(\"kernel\",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(t={},t[-1]=n,t)}],this.built=!0},t.prototype.computeOutputShape=function(e){var t=(e=getExactlyOneShape(e)).slice();return t[t.length-1]=this.units,t},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=dot(getExactlyOneTensor(e),n.kernel.read());return null!=n.bias&&(r=biasAdd(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r)),r})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),biasConstraint:serializeConstraint(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Dense\",t}(Layer);serialization.SerializationMap.register(Dense);var Flatten=function(e){function t(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){for(var t=0,n=(e=getExactlyOneShape(e)).slice(1);t<n.length;t++){if(null==n[t])throw new ValueError('The shape of the input to \"Flatten\" is not fully defined (got '+e.slice(1)+'). Make sure to pass a complete \"input_shape\" or \"batch_input_shape\" argument to the first layer in your model.')}return[e[0],arrayProd(e,1)]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),batchFlatten(getExactlyOneTensor(e))})},t.className=\"Flatten\",t}(Layer);serialization.SerializationMap.register(Flatten);var Activation$1=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=getActivation(t.activation),n}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return n.activation.apply(r)})},t.prototype.getConfig=function(){var t={activation:serializeActivation(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Activation\",t}(Layer);serialization.SerializationMap.register(Activation$1);var RepeatVector=function(e){function t(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return repeat(e=getExactlyOneTensor(e),n.n)})},t.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"RepeatVector\",t}(Layer);serialization.SerializationMap.register(RepeatVector);var Reshape=function(e){function t(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return __extends(t,e),t.prototype.isUnknown=function(e){return e<0||null==e},t.prototype.fixUnknownDimension=function(e,t){for(var n=\"Total size of new array must be unchanged.\",r=t.slice(),i=1,a=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==a)throw new ValueError(\"Can only specifiy one unknown dimension.\");a=o}else i*=s}var l=arrayProd(e);if(null!==a){if(0===i||l%i!=0)throw new ValueError(n);r[a]=l/i}else if(l!==i)throw new ValueError(n);return r},t.prototype.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e),i=shape(r),a=i.slice(0,1).concat(n.fixUnknownDimension(i.slice(1),n.targetShape));return r.reshape(a)})},t.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Reshape\",t}(Layer);serialization.SerializationMap.register(Reshape);var Embedding=function(e){function t(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER=\"randomUniform\",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(toList(t.inputLength))}return n.inputDim=t.inputDim,n.outputDim=t.outputDim,n.embeddingsInitializer=getInitializer(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=getRegularizer(t.embeddingsRegularizer),n.activityRegularizer=getRegularizer(t.activityRegularizer),n.embeddingsConstraint=getConstraint(t.embeddingsConstraint),n.maskZero=t.maskZero,n.inputLength=t.inputLength,n}return __extends(t,e),t.prototype.build=function(e){this.embeddings=this.addWeight(\"embeddings\",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for Embedding yet\")},t.prototype.computeOutputShape=function(e){if(e=getExactlyOneShape(e),null==this.inputLength)return e.concat([this.outputDim]);var t=toList(this.inputLength);if(t.length!==e.length-1)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);for(var n=0,r=0;r<t.length;++r){var i=t[r],a=e[r+1];if(null!=i&&null!=a&&i!==a)throw new ValueError('\"inputLength\" is '+this.inputLength+\", but received input shape has shape \"+e);null==i&&(t[n]=a),n++}return[e[0]].concat(t,[this.outputDim])},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t);var r=getExactlyOneTensor(e);return\"int32\"!==dtype(r)&&(r=cast(r,\"int32\")),gather$1(n.embeddings.read(),r.as1D()).reshape(getExactlyOneShape(n.computeOutputShape(r.shape)))})},t.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:serializeInitializer(this.embeddingsInitializer),embeddingsRegularizer:serializeRegularizer(this.embeddingsRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),embeddingsConstraint:serializeConstraint(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Embedding\",t}(Layer);serialization.SerializationMap.register(Embedding);var Merge=function(e){function t(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.mergeFunction=function(e){throw new NotImplementedError},t.prototype.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var i=e[e.length-t.length+r],a=t[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new ValueError(\"Operands could not be broadcast together with shapes \"+JSON.stringify(e)+\" \"+JSON.stringify(t));n.push(i)}}return n},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[getExactlyOneShape(e)]),(e=e).length<2)throw new ValueError(\"A merge layer should be called on an Array of at least 2 inputs. Got \"+e.length+\" input(s).\");for(var t=[],n=0,r=e;n<r.length;n++){null!=(o=r[n])&&null!==o[0]&&t.push(o[0])}if((t=unique(t)).length>1)throw new ValueError(\"Can not merge tensors with different batch sizes. Got tensors with shapes: \"+JSON.stringify(e)+\".\");for(var i=null==e[0]?null:e[0].slice(1),a=1;a<e.length;++a){var o=null==e[a]?null:e[a].slice(1);i=this.computeElementwiseOpOutputShape(i,o)}var s=e.map(function(e){return e.length});-1===e.indexOf(null)&&1===unique(s).length?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(e=e,n.reshapeRequired){var t=[],r=e.map(function(e){return e.rank});if(-1===r.indexOf(null)){for(var i=max$1(r),a=0,o=e;a<o.length;a++){for(var s=(h=o[a]).rank,l=0;l<i-s;++l)h=expandDims(h,1);t.push(h)}return n.mergeFunction(t)}for(var u=!1,c=0,p=e;c<p.length;c++){var h;if(null==(s=(h=p[c]).rank)){var d=shape(h),g=d[0],f=d.slice(1).concat([g]),m=h.reshape([g].concat(arrayProd(d.slice(1))));m=(m=transpose(m,[1,0])).reshape(f),t.push(m),u=!0}else if(s>1){var y=range(1,s).concat([0]);t.push(transpose(h,y)),u=!0}else t.push(h)}var v=n.mergeFunction(t),b=v.rank;if(u)if(null==b){var z=shape(v);f=[g=z[z.length-1]].concat(z.slice(0,z.length-1));v=transpose(v.reshape([-1,g]),[1,0]).reshape(f)}else if(b>1){y=[b-1].concat(range(0,b-1));v=transpose(v,y)}return v}return n.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var i=[],a=0,o=e;a<o.length;a++){null!=(r=o[a])&&null!==r[0]&&i.push(r[0])}return t=1===(i=unique(i)).length?i.concat(t):[null].concat(t)},t}(Layer),Add=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=zeros(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=add(t,i)}return t})},t.className=\"Add\",t}(Merge);serialization.SerializationMap.register(Add);var Multiply=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=ones(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=mul(t,i)}return t})},t.className=\"Multiply\",t}(Merge);serialization.SerializationMap.register(Multiply);var Average=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=zeros(e[0].shape),n=0,r=e;n<r.length;n++){var i=r[n];t=add(t,i)}return scalarTimesArray(getScalar(1/e.length),t)})},t.className=\"Average\",t}(Merge);serialization.SerializationMap.register(Average);var Maximum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=maximum(t,e[n]);return t})},t.className=\"Maximum\",t}(Merge);serialization.SerializationMap.register(Maximum);var Minimum=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.mergeFunction=function(e){return tidy(function(){for(var t=e[0],n=1;n<e.length;++n)t=minimum(t,e[n]);return t})},t.className=\"Minimum\",t}(Merge);serialization.SerializationMap.register(Minimum);var Concatenate=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}return __extends(t,e),t.prototype.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new ValueError(\"A `Concatenate` layer should be called on a list of at least 2 inputs\");for(var t=!0,n=0,r=e=e;n<r.length;n++){if(null!=(c=r[n])){t=!1;break}}if(!t){for(var i=[],a=0;a<e.length;++a){var o=e[a].slice();o.splice(this.axis,1);for(var s=!1,l=0,u=i;l<u.length;l++){var c=u[l];if(util.arraysEqual(c,o)){s=!0;break}}s||i.push(o)}if(i.length>1)throw new ValueError(\"A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: \"+JSON.stringify(e))}},t.prototype.mergeFunction=function(e){var t=this;return tidy(function(){return concatenate(e,t.axis)})},t.prototype.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new ValueError(\"A `Concatenate` layer should be called on a list of inputs.\");for(var t=e,n=t[0].slice(),r=this.axis<0?n.length+this.axis:this.axis,i=0,a=t.slice(1);i<a.length;i++){var o=a[i];if(null==n[r]||null==o[r]){n[r]=null;break}n[r]+=o[r]}return n},t.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"Concatenate\",t}(Merge);function batchNormalization(e,t,n,r,i,a){var o;if(void 0===a&&(a=.001),2===e.rank)o=batchNormalization2d(e,t,n,a,i,r);else if(3===e.rank)o=batchNormalization3d(e,t,n,a,i,r);else{if(4!==e.rank)throw new NotImplementedError(\"batchNormalization is not implememnted for array of rank \"+e.rank+\" yet\");o=batchNormalization4d(e,t,n,a,i,r)}return o}function regularNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){var a=moments(e,r),o=a.mean,s=a.variance;return[batchNormalization(e,o,s,n,t,i),o,s]})}function broadcastNormalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),tidy(function(){for(var a=moments(e,r),o=a.mean,s=a.variance,l=[],u=0,c=range(0,e.rank);u<c.length;u++){var p=c[u];-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=o.reshape(l),d=s.reshape(l),g=null==t?null:t.reshape(l),f=null==n?null:n.reshape(l);return[batchNormalization(e,h,d,f,g,i),o,s]})}function normalizeBatchInTraining(e,t,n,r,i){return void 0===i&&(i=.001),util.arraysEqual(r.slice().sort(),range(0,e.rank-1))?regularNormalizeBatchInTraining(e,t,n,r,i):broadcastNormalizeBatchInTraining(e,t,n,r,i)}serialization.SerializationMap.register(Concatenate);var BatchNormalization=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=getInitializer(t.betaInitializer||\"zeros\"),n.gammaInitializer=getInitializer(t.gammaInitializer||\"ones\"),n.movingMeanInitializer=getInitializer(t.movingMeanInitializer||\"zeros\"),n.movingVarianceInitializer=getInitializer(t.movingVarianceInitializer||\"ones\"),n.betaConstraint=getConstraint(t.betaConstraint),n.gammaConstraint=getConstraint(t.gammaConstraint),n.betaRegularizer=getRegularizer(t.betaRegularizer),n.gammaRegularizer=getRegularizer(t.gammaRegularizer),n.stepCount=0,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new ValueError(\"Axis \"+t+\" of input tensor should have a defined dimension but the layer received an input with shape \"+JSON.stringify(e)+\".\");this.inputSpec=[new InputSpec({ndim:e.length,axes:(r={},r[t]=n,r)})];var r,i=[n];this.scale&&(this.gamma=this.addWeight(\"gamma\",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight(\"beta\",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight(\"moving_mean\",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight(\"moving_variance\",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null!=t.training&&t.training,i=getExactlyOneTensor(e),a=shape(i),o=a.length,s=range(0,o),l=n.axis>=0?n.axis:n.axis+o;s.splice(l,1);var u=pyListRepeat(1,o);u[l]=a[l];var c=s.slice();c.sort();var p=!util.arraysEqual(c,range(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(u),t=n.movingVariance.read().reshape(u),r=n.center?n.beta.read().reshape(u):null,a=n.scale?n.gamma.read().reshape(u):null;return batchNormalization(i,e,t,r,a,n.epsilon)}return batchNormalization(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=normalizeBatchInTraining(i,n.gamma.read(),n.beta.read(),s,n.epsilon),d=h[0],g=h[1],f=h[2],m=arrayProd(s.map(function(e){return i.shape[e]})),y=f.mul(getScalar(m/(m-(1+n.epsilon))));return function(){n.stepCount++;var e=movingAverage(n.movingMean.read(),g,n.momentum,n.stepCount);n.movingMean.write(e);var t=movingAverage(n.movingVariance.read(),y,n.momentum,n.stepCount);n.movingVariance.write(t)}(),d})},t.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:serializeInitializer(this.betaInitializer),gammaInitializer:serializeInitializer(this.gammaInitializer),movingMeanInitializer:serializeInitializer(this.movingMeanInitializer),movingVarianceInitializer:serializeInitializer(this.movingVarianceInitializer),betaRegularizer:serializeRegularizer(this.betaRegularizer),gammaRegularizer:serializeRegularizer(this.gammaRegularizer),betaConstraint:serializeConstraint(this.betaConstraint),gammaConstraint:serializeConstraint(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"BatchNormalization\",t}(Layer);function spatial2dPadding(e,t,n){return tidy(function(){if(4!==e.rank)throw new ValueError(\"temporalPadding expects input tensor to be 4-D, but received a \"+e.rank+\"-D tensor.\");if(null==t&&(t=[[1,1],[1,1]]),2!==t.length||2!==t[0].length||2!==t[1].length)throw new ValueError(\"spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.\");if(null==n&&(n=imageDataFormat()),\"channelsLast\"!==n&&\"channelsFirst\"!==n)throw new ValueError(\"Unknown data format: \"+n+\". Supported data formats are 'channelsLast' and 'channelsFirst.\");var r;return r=\"channelsFirst\"===n?[[0,0],[0,0],t[0],t[1]]:[[0,0],t[0],t[1],[0,0]],pad(e,r)})}serialization.SerializationMap.register(BatchNormalization);var ZeroPadding2D=function(e){function t(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?imageDataFormat():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if(\"number\"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new ValueError(\"ZeroPadding2D expects padding to be a length-2 array, but received a length-\"+t.padding.length+\" array.\");var r=void 0,i=void 0;if(\"number\"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new ValueError(\"ZeroPadding2D expects height padding to be a length-2 array, but received a length-\"+t.padding[0].length+\" array.\");if(r=t.padding[0],2!==t.padding[1].length)throw new ValueError(\"ZeroPadding2D expects width padding to be a length-2 array, but received a length-\"+t.padding[1].length+\" array.\");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t,n;return e=getExactlyOneShape(e),\"channelsFirst\"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},t.prototype.call=function(e,t){var n=this;return tidy(function(){return spatial2dPadding(getExactlyOneTensor(e),n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"ZeroPadding2D\",t}(Layer);function pool2d(e,t,n,r,i,a){return tidy(function(){var o;checkDataFormat(i),checkPoolMode(a),checkPaddingMode(r),null==n&&(n=[1,1]),null==r&&(r=\"valid\"),null==i&&(i=imageDataFormat()),null==a&&(a=\"max\"),e=preprocessConv2DInput(e,i);var s=\"same\"===r?\"same\":\"valid\";return o=\"max\"===a?maxPool(e,t,n,s):avgPool(e,t,n,s),\"channelsFirst\"===i&&(o=transpose(o,[0,3,1,2])),o})}serialization.SerializationMap.register(ZeroPadding2D);var Pooling1D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,\"number\"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||\"number\"!=typeof t.poolSize[0])throw new ValueError(\"poolSize for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(null==t.strides)n.strides=n.poolSize;else if(\"number\"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||\"number\"!=typeof t.strides[0])throw new ValueError(\"strides for 1D convolutional layer must be a number or an Array of a single number, but received \"+JSON.stringify(t.strides));n.strides=t.strides}return n.padding=null==t.padding?\"valid\":t.padding,checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){var t=convOutputLength((e=getExactlyOneShape(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){n.invokeCallHook(e,t),e=expandDims(getExactlyOneTensor(e),2);var r=n.poolingFunction(getExactlyOneTensor(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,\"channelsLast\");return squeeze(r,[2])})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling1D\",t}(Pooling1D);serialization.SerializationMap.register(MaxPooling1D);var AveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling1D\",t}(Pooling1D);serialization.SerializationMap.register(AveragePooling1D);var Pooling2D=function(e){function t(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new ValueError(\"If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length \"+t.strides.length+\".\");n.strides=t.strides}else n.strides=[t.strides,t.strides];return n.padding=null==t.padding?\"valid\":t.padding,n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),checkPaddingMode(n.padding),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){e=getExactlyOneShape(e);var t=\"channelsFirst\"===this.dataFormat?e[2]:e[1],n=\"channelsFirst\"===this.dataFormat?e[3]:e[2];return t=convOutputLength(t,this.poolSize[0],this.padding,this.strides[0]),n=convOutputLength(n,this.poolSize[1],this.padding,this.strides[1]),\"channelsFirst\"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},t.prototype.call=function(e,t){var n=this;return tidy(function(){return n.invokeCallHook(e,t),n.poolingFunction(getExactlyOneTensor(e),n.poolSize,n.strides,n.padding,n.dataFormat)})},t.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),MaxPooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"max\")},t.className=\"MaxPooling2D\",t}(Pooling2D);serialization.SerializationMap.register(MaxPooling2D);var AveragePooling2D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.poolingFunction=function(e,t,n,r,i){return checkDataFormat(i),checkPaddingMode(r),pool2d(e,t,n,r,i,\"avg\")},t.className=\"AveragePooling2D\",t}(Pooling2D);serialization.SerializationMap.register(AveragePooling2D);var GlobalPooling1D=function(e){function t(t){var n=e.call(this,t)||this;return n.inputSpec=[new InputSpec({ndim:3})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,t){throw new NotImplementedError},t}(Layer),GlobalAveragePooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return mean(t,1)})},t.className=\"GlobalAveragePooling1D\",t}(GlobalPooling1D);serialization.SerializationMap.register(GlobalAveragePooling1D);var GlobalMaxPooling1D=function(e){function t(t){return e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(e,t){return tidy(function(){var t=getExactlyOneTensor(e);return max(t,1)})},t.className=\"GlobalMaxPooling1D\",t}(GlobalPooling1D);serialization.SerializationMap.register(GlobalMaxPooling1D);var GlobalPooling2D=function(e){function t(t){var n=e.call(this,t)||this;return n.dataFormat=null==t.dataFormat?\"channelsLast\":t.dataFormat,checkDataFormat(n.dataFormat),n.inputSpec=[new InputSpec({ndim:4})],n}return __extends(t,e),t.prototype.computeOutputShape=function(e){return e=e,\"channelsLast\"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,t){throw new NotImplementedError},t.prototype.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(Layer),GlobalAveragePooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?mean(t,[1,2]):mean(t,[2,3])})},t.className=\"GlobalAveragePooling2D\",t}(GlobalPooling2D);serialization.SerializationMap.register(GlobalAveragePooling2D);var GlobalMaxPooling2D=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.call=function(e,t){var n=this;return tidy(function(){var t=getExactlyOneTensor(e);return\"channelsLast\"===n.dataFormat?max(t,[1,2]):max(t,[2,3])})},t.className=\"GlobalMaxPooling2D\",t}(GlobalPooling2D);function rnn(e,t,n,r,i,a,o,s){void 0===r&&(r=!1),void 0===o&&(o=!1);var l=t.shape.length;if(l<3)throw new ValueError(\"Input should be at least 3D, but is \"+l+\"D.\");var u,c,p=[1,0].concat(range(2,l));if(t=transpose(t,p),null!=i)throw new NotImplementedError(\"The rnn() function of the deeplearn.js backend does not support masking yet.\");if(null!=a)throw new NotImplementedError(\"The rnn() functoin of the deeplearn.js backend does not support constants yet.\");o&&console.warn(\"Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.\"),r&&(t=reverse(t,0));for(var h=n,d=t.shape[0],g=0;g<d;++g){var f=sliceAlongFirstAxis(t,g,1),m=e(f=f.reshape(f.shape.slice(1)),h);c=m[0],u=0===g?c.reshape([1].concat(c.shape)):concatAlongFirstAxis(u,c.reshape([1].concat(c.shape))),h=m[1]}return[c,transpose(u,[1,0].concat(range(2,u.shape.length))),h]}serialization.SerializationMap.register(GlobalMaxPooling2D);var RNN=function(e){function t(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new ValueError(\"cell property is missing for the constructor of RNN.\");if(null==(n=Array.isArray(t.cell)?new StackedRNNCells({cells:t.cell}):t.cell).stateSize)throw new ValueError(\"The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).\");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new InputSpec({ndim:3})],r.stateSpec=null,r.states=null,r.numConstants=null,r}return __extends(t,e),t.prototype.getStates=function(){return null==this.states?range(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(e){return null}):this.states},t.prototype.setStates=function(e){this.states=e},t.prototype.computeOutputShape=function(e){isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var i=[],a=0,o=t;a<o.length;a++){var s=o[a];i.push([e[0],s])}return[n].concat(i)}return n},t.prototype.computeMask=function(e,t){throw new NotImplementedError(\"computeMask has not been implemented for RNN yet\")},t.prototype.build=function(e){if(null!=this.numConstants)throw new NotImplementedError(\"Constants support is not implemented in RNN yet.\");isArrayOfShapes(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e[e.length-1];this.inputSpec[0]=new InputSpec({shape:[t,null,n]});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!util.arraysEqual(this.stateSpec.map(function(e){return e.shape[e.shape.length-1]}),r))throw new ValueError(\"An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=\"+this.stateSpec+\"; However cell.stateSize is \"+this.cell.stateSize)}else this.stateSpec=r.map(function(e){return new InputSpec({shape:[null,e]})});if(this.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet\")},t.prototype.resetStates=function(e){var t=this;tidy(function(){if(!t.stateful)throw new AttributeError(\"Cannot call resetState() on an RNN Layer that is not stateful.\");var n=t.inputSpec[0].shape[0];if(null==n)throw new ValueError(\"If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \\n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.\");if(null==t.states)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states=[zeros([n,t.cell.stateSize])];else if(null==e)Array.isArray(t.cell.stateSize)?t.states=t.cell.stateSize.map(function(e){return zeros([n,e])}):t.states[0]=zeros([n,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states.length)throw new ValueError(\"Layer \"+t.name+\" expects \"+t.states.length+\" state(s), but it received \"+e.length+\" state value(s). Input received: \"+e);for(var r=0;r<t.states.length;++r){var i=e[r],a=Array.isArray(t.cell.stateSize)?t.cell.stateSize[r]:t.cell.stateSize,o=[n,a];if(!util.arraysEqual(i.shape,o))throw new ValueError(\"State \"+r+\" is incompatible with layer \"+t.name+\": expected shape=\"+o+\", received shape=\"+i.shape);t.states[r]=i}}})},t.prototype.standardizeArgs=function(e,t,n){if(Array.isArray(e)){if(null!=t||null!=n)throw new ValueError(\"When inputs is an array, neither initialState or constants should be provided\");null!=this.numConstants&&(n=e.slice(e.length-this.numConstants,e.length),e=e.slice(0,e.length-this.numConstants)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function r(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=r(t),constants:n=r(n)}},t.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=this.standardizeArgs(t,r,i);t=a.inputs,r=a.initialState,i=a.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var l=0,u=r;l<u.length;l++){var c=u[l];this.stateSpec.push(new InputSpec({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=i&&(n.constants=i,o=o.concat(i),this.numConstants=i.length),o[0]instanceof SymbolicTensor){var p=[t].concat(o),h=this.inputSpec.concat(s),d=this.inputSpec;this.inputSpec=h;var g=e.prototype.apply.call(this,p,n);return this.inputSpec=d,g}return e.prototype.apply.call(this,t,n)},t.prototype.call=function(e,t){var n=this;return tidy(function(){var r=null==t?null:t.mask,i=null==t?null:t.training,a=null==t?null:t.initialState;if(e=getExactlyOneTensor(e),null==a){if(n.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet.\");a=n.getInitialState(e)}if(null!=r)throw new NotImplementedError(\"Masking is not implemented for RNN yet\");var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(a.length!==o)throw new ValueError(\"RNN Layer has \"+o+\" state(s) but was passed \"+a.length+\" initial state(s).\");var s=e.shape[1];n.unroll&&console.warn(\"Ignoring unroll = true for RNN layer, due to imperative backend.\");var l={training:i},u=rnn(function(e,t){var r=n.cell.call([e].concat(t),l);return[r[0],r.slice(1)]},e,a,n.goBackwards,null,null,n.unroll,s),c=u[0],p=u[1],h=u[2];if(n.stateful)throw new NotImplementedError(\"stateful RNN layer is not implemented yet\");var d=n.returnSequences?p:c;return n.returnState?[d].concat(h):d})},t.prototype.getInitialState=function(e){var t=this;return tidy(function(){var n=zeros(e.shape);return n=expandDims(n=sum(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map(function(e){return e>1?tile$1(n,[1,e]):n}):t.cell.stateSize>1?[tile$1(n,[1,t.cell.stateSize])]:[n]})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},t.className=\"RNN\",t}(Layer);serialization.SerializationMap.register(RNN);var RNNCell=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t=__decorate([doc({heading:\"Layers\",subheading:\"Classes\"})],t)}(Layer),SimpleRNNCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n}return __extends(t,e),t.prototype.build=function(e){e=getExactlyOneShape(e),this.kernel=this.addWeight(\"kernel\",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(2!==(e=e).length)throw new ValueError(\"SimpleRNNCell expects 2 input Tensors, got \"+e.length+\".\");var t=e[1];if(e=e[0],0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for SimpleRNNCell yet\");var r=dot(e,n.kernel.read());null!=n.bias&&(r=biasAdd(r,n.bias.read()));var i=add(r,dot(t,n.recurrentKernel.read()));return null!=n.activation&&(i=n.activation.apply(i)),[i,i]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"SimpleRNNCell\",t}(RNNCell);serialization.SerializationMap.register(SimpleRNNCell);var SimpleRNN=function(e){function t(t){return t.cell=new SimpleRNNCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.className=\"SimpleRNN\",t}(RNN);serialization.SerializationMap.register(SimpleRNN);var GRUCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n}return __extends(t,e),t.prototype.build=function(e){var t=(e=getExactlyOneShape(e))[e.length-1];this.kernel=this.addWeight(\"kernel\",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight(\"bias\",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for GRUCell yet\");if(2!==(e=e).length)throw new ValueError(\"GRUCell expects 2 input Tensors (inputs, h, c), got \"+e.length+\".\");var t,r,i,a=e[1];if(e=e[0],1===n.implementation){var o=sliceAlongLastAxis(n.kernel.read(),0,n.units),s=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),l=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),u=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),c=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),p=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),h=e,d=e,g=dot(e,o),f=dot(h,s),m=dot(d,l);if(n.useBias){var y=sliceAlongFirstAxis(n.bias.read(),0,n.units),v=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),b=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units);g=biasAdd(g,y),f=biasAdd(f,v),m=biasAdd(m,b)}var z=a,w=a,S=a;t=n.recurrentActivation.apply(add(g,dot(z,u))),r=n.recurrentActivation.apply(add(f,dot(w,c))),i=n.activation.apply(add(m,dot(mul(r,S),p)))}else{var I=dot(e,n.kernel.read());n.useBias&&(I=biasAdd(I,n.bias.read()));var _=dot(a,sliceAlongLastAxis(n.recurrentKernel.read(),0,2*n.units)),A=(g=sliceAlongLastAxis(I,0,n.units),f=sliceAlongLastAxis(I,n.units,n.units),sliceAlongLastAxis(_,0,n.units)),N=sliceAlongLastAxis(_,n.units,n.units);t=n.recurrentActivation.apply(add(g,A)),r=n.recurrentActivation.apply(add(f,N));m=sliceAlongLastAxis(I,2*n.units,n.units);var E=dot(mul(r,a),sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units));i=n.activation.apply(add(m,E))}var L=add(mul(t,a),mul(scalarPlusArray(getScalar(1),neg(t)),i));return[L,L]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"GRUCell\",t}(RNNCell);serialization.SerializationMap.register(GRUCell);var GRU=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new GRUCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"GRU\",t}(RNN);serialization.SerializationMap.register(GRU);var LSTMCell=function(e){function t(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION=\"tanh\",n.DEFAULT_RECURRENT_ACTIVATION=\"hardSigmoid\",n.DEFAULT_KERNEL_INITIALIZER=\"glorotNormal\",n.DEFAULT_RECURRENT_INITIALIZER=\"orthogonal\",n.DEFAULT_BIAS_INITIALIZER=\"zeros\",n.units=t.units,n.activation=getActivation(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=getActivation(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=getInitializer(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=getInitializer(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=getInitializer(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=getRegularizer(t.kernelRegularizer),n.recurrentRegularizer=getRegularizer(t.recurrentRegularizer),n.biasRegularizer=getRegularizer(t.biasRegularizer),n.kernelConstraint=getConstraint(t.kernelConstraint),n.recurrentConstraint=getConstraint(t.recurrentConstraint),n.biasConstraint=getConstraint(t.biasConstraint),n.dropout=min$1([1,max$1([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=min$1([1,max$1([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n}return __extends(t,e),t.prototype.build=function(e){var t,n,r=(e=getExactlyOneShape(e))[e.length-1];if(this.kernel=this.addWeight(\"kernel\",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight(\"recurrent_kernel\",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var i=this.biasInitializer,a=this.units;t=new((n=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return __extends(t,e),t.prototype.apply=function(e,t){var n=i.apply([a]),r=(new Ones).apply([a]),o=i.apply([2*a]);return concatAlongFirstAxis(concatAlongFirstAxis(n,r),o)},t}(Initializer)).className=\"CustomInit\",n)}else t=this.biasInitializer;this.bias=this.addWeight(\"bias\",[4*this.units],null,t,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(0!==n.dropout||0!==n.recurrentDropout)throw new NotImplementedError(\"Dropout is not implemented for LSTMCell yet\");if(3!==(e=e).length)throw new ValueError(\"LSTMCell expects 3 input Tensors (inputs, h, c), got \"+e.length+\".\");var t,r,i,a,o=e[1],s=e[2];if(e=e[0],1===n.implementation){var l=sliceAlongLastAxis(n.kernel.read(),0,n.units),u=sliceAlongLastAxis(n.kernel.read(),n.units,n.units),c=sliceAlongLastAxis(n.kernel.read(),2*n.units,n.units),p=sliceAlongLastAxis(n.kernel.read(),3*n.units,n.units),h=sliceAlongLastAxis(n.recurrentKernel.read(),0,n.units),d=sliceAlongLastAxis(n.recurrentKernel.read(),n.units,n.units),g=sliceAlongLastAxis(n.recurrentKernel.read(),2*n.units,n.units),f=sliceAlongLastAxis(n.recurrentKernel.read(),3*n.units,n.units),m=e,y=e,v=e,b=dot(e,l),z=dot(m,u),w=dot(y,c),S=dot(v,p);if(n.useBias){var I=sliceAlongFirstAxis(n.bias.read(),0,n.units),_=sliceAlongFirstAxis(n.bias.read(),n.units,n.units),A=sliceAlongFirstAxis(n.bias.read(),2*n.units,n.units),N=sliceAlongFirstAxis(n.bias.read(),3*n.units,n.units);b=biasAdd(b,I),z=biasAdd(z,_),w=biasAdd(w,A),S=biasAdd(S,N)}var E=o,L=o,C=o,x=o;t=n.recurrentActivation.apply(add(b,dot(E,h))),r=n.recurrentActivation.apply(add(z,dot(L,d))),i=add(mul(r,s),mul(t,n.activation.apply(add(w,dot(C,g))))),a=n.recurrentActivation.apply(add(S,dot(x,f)))}else{var k=dot(e,n.kernel.read());k=add(k,dot(o,n.recurrentKernel.read())),n.useBias&&(k=biasAdd(k,n.bias.read()));var T=sliceAlongLastAxis(k,0,n.units),R=sliceAlongLastAxis(k,n.units,n.units),D=sliceAlongLastAxis(k,2*n.units,n.units),O=sliceAlongLastAxis(k,3*n.units,n.units);t=n.recurrentActivation.apply(T),r=n.recurrentActivation.apply(R),i=add(mul(r,s),mul(t,n.activation.apply(D))),a=n.recurrentActivation.apply(O)}var M=mul(a,n.activation.apply(i));return[M,M,i]})},t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.className=\"LSTMCell\",t}(RNNCell);serialization.SerializationMap.register(LSTMCell);var LSTM=function(e){function t(t){return 0===t.implementation&&console.warn(\"`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call.\"),t.cell=new LSTMCell(t),e.call(this,t)||this}return __extends(t,e),t.prototype.call=function(t,n){var r=this;return tidy(function(){var i=null==n?null:n.mask,a=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:i,training:a,initialState:o})})},Object.defineProperty(t.prototype,\"units\",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"activation\",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentActivation\",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"useBias\",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelInitializer\",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentInitializer\",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasInitializer\",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"unitForgetBias\",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelRegularizer\",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentRegularizer\",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasRegularizer\",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"kernelConstraint\",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentConstraint\",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"biasConstraint\",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"dropout\",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"recurrentDropout\",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"implementation\",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={units:this.units,activation:serializeActivation(this.activation),recurrentActivation:serializeActivation(this.recurrentActivation),useBias:this.useBias,kernelInitializer:serializeInitializer(this.kernelInitializer),recurrentInitializer:serializeInitializer(this.recurrentInitializer),biasInitializer:serializeInitializer(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:serializeRegularizer(this.kernelRegularizer),recurrentRegularizer:serializeRegularizer(this.recurrentRegularizer),biasRegularizer:serializeRegularizer(this.biasRegularizer),activityRegularizer:serializeRegularizer(this.activityRegularizer),kernelConstraint:serializeConstraint(this.kernelConstraint),recurrentConstraint:serializeConstraint(this.recurrentConstraint),biasConstraint:serializeConstraint(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t.className=\"LSTM\",t}(RNN);serialization.SerializationMap.register(LSTM);var StackedRNNCells=function(e){function t(t){var n=e.call(this,t)||this;return n.cells=t.cells,n}return __extends(t,e),Object.defineProperty(t.prototype,\"stateSize\",{get:function(){for(var e=[],t=0,n=this.cells.slice().reverse();t<n.length;t++){var r=n[t];Array.isArray(r.stateSize)?e.push.apply(e,r.stateSize):e.push(r.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,t){var n=this;return tidy(function(){for(var r=(e=e).slice(1),i=[],a=0,o=n.cells.slice().reverse();a<o.length;a++){var s=o[a];Array.isArray(s.stateSize)?i.push(r.splice(0,s.stateSize.length)):i.push(r.splice(0,1))}i.reverse();for(var l,u=[],c=0;c<n.cells.length;++c){s=n.cells[c];r=i[c],l=0===c?[e[0]].concat(r):[l[0]].concat(r),l=s.call(l,t),u.push(l.slice(1))}r=[];for(var p=0,h=u.slice().reverse();p<h.length;p++){var d=h[p];r.push.apply(r,d)}return[l[0]].concat(r)})},t.prototype.build=function(e){var t;isArrayOfShapes(e)&&(e=e[0]),e=e;for(var n=0,r=this.cells;n<r.length;n++){var i=r[n];i.build(e),t=Array.isArray(i.stateSize)?i.stateSize[0]:i.stateSize,e=[e[0],t]}this.built=!0},t.prototype.getConfig=function(){for(var t=[],n=0,r=this.cells;n<r.length;n++){var i=r[n];t.push({className:this.getClassName(),config:i.getConfig()})}var a={cells:t},o=e.prototype.getConfig.call(this);return Object.assign(a,o),a},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r=[],i=0,a=t.cells;i<a.length;i++){var o=a[i];r.push(deserialize(o,n))}return new e({cells:r})},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){if(!this.trainable)return[];for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,o=this.cells;a<o.length;a++){r=o[a];i.push.apply(i,r.trainableWeights)}return i.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],t=0,n=this.cells;t<n.length;t++){var r=n[t];e.push.apply(e,r.weights)}return batchGetValue(e)},t.prototype.setWeights=function(e){for(var t=[],n=0,r=this.cells;n<r.length;n++)for(var i=r[n],a=i.weights.length,o=e.splice(a),s=0;s<i.weights.length;++s)t.push([i.weights[s],o[s]]);batchSetValue(t)},t.className=\"StackedRNNCells\",t}(RNNCell);serialization.SerializationMap.register(StackedRNNCells);var Wrapper=function(e){function t(t){var n=e.call(this,t)||this;return n.layer=t.layer,n}return __extends(t,e),t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,\"trainable\",{get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"updates\",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"losses\",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=deserialize(t.layer,n);delete t.layer;var i={layer:r};return Object.assign(i,t),new e(i)},t}(Layer),TimeDistributed=function(e){function t(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n}return __extends(t,e),t.prototype.build=function(t){if((t=getExactlyOneShape(t)).length<3)throw new ValueError(\"TimeDistributed layer expects an input shape >= 3D, but received input shape \"+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},t.prototype.computeOutputShape=function(e){var t=[(e=getExactlyOneShape(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},t.prototype.call=function(e,t){var n=this;return tidy(function(){return rnn(function(e,r){return[n.layer.call(e,t),[]]},e=getExactlyOneTensor(e),[],!1,null,null,!1,e.shape[1])[1]})},t.className=\"TimeDistributed\",t}(Wrapper);serialization.SerializationMap.register(TimeDistributed);var VALID_BIDIRECTIONAL_MERGE_MODES=[\"sum\",\"mul\",\"concat\",\"ave\"];function checkBidirectionalMergeMode(e){checkStringTypeUnionValue(VALID_BIDIRECTIONAL_MERGE_MODES,\"BidirectionalMergeMode\",e)}var Bidirectional=function(e){function t(t){var n=e.call(this,t)||this,r=t.layer.getConfig();if(n.forwardLayer=deserialize({className:t.layer.getClassName(),config:r}),r.goBackwards=!0!==r.goBackwards,n.backwardLayer=deserialize({className:t.layer.getClassName(),config:r}),n.forwardLayer.name=\"forward_\"+n.forwardLayer.name,n.backwardLayer.name=\"backward_\"+n.backwardLayer.name,checkBidirectionalMergeMode(t.mergeMode),n.mergeMode=t.mergeMode,t.weights)throw new NotImplementedError(\"weights support is not implemented for Bidirectional layer yet.\");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n}return __extends(t,e),Object.defineProperty(t.prototype,\"trainable\",{get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},t.prototype.computeOutputShape=function(e){var t,n,r,i=this.forwardLayer.computeOutputShape(e);return Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i,this.returnState?(r=i.slice(1),t=i[0]):t=i[0],t=t,\"concat\"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):singletonOrArray(n)},t.prototype.apply=function(t,n){var r=null;if(null!=n&&(r=n.initialState),Array.isArray(t)&&(r=t.slice(1),t=t[0]),null==r||0===r.length)return e.prototype.apply.call(this,t,n);throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\")},t.prototype.call=function(e,t){var n=this;return tidy(function(){if(null!=t.mask)throw new NotImplementedError(\"The support for masking is not implemented for Bidirectional layers yet.\");if(null!=t.initialState)throw new NotImplementedError(\"The support for initial states is not implemented for Bidirectional layers yet.\");var r,i,a=n.forwardLayer.call(e,t),o=n.backwardLayer.call(e,t);return n.returnState&&(Array.isArray(a)&&(r=a.slice(1).concat(o.slice(1))),a=a[0],o=o[0]),n.returnSequences&&(o=reverse(o,1)),\"concat\"===n.mergeMode?i=concatenate([a,o]):\"sum\"===n.mergeMode?i=add(a,o):\"ave\"===n.mergeMode?i=scalarTimesArray(getScalar(.5),add(a,o)):\"mul\"===n.mergeMode?i=mul(a,o):null==n.mergeMode&&(i=[a,o]),n.returnState?null==n.mergeMode?i.concat(r):[i].concat(r):i})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var t=this;nameScope$1(this.forwardLayer.name,function(){t.forwardLayer.build(e)}),nameScope$1(this.backwardLayer.name,function(){t.backwardLayer.build(e)}),this.built=!0},Object.defineProperty(t.prototype,\"trainableWeights\",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"nonTrainableWeights\",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=deserialize(t.layer);if(delete t.layer,null!=t.numConstants)throw new NotImplementedError(\"Deserialization of a Bidirectional layer with numConstants present is not supported yet.\");var r=t;return r.layer=n,new e(r)},t.className=\"Bidirectional\",t}(Wrapper);function loadModelInternal(e){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(n){if(\"string\"==typeof e){if(0===(t=io.getLoadHandlers(e)).length)t.push(io.browserHTTPRequest(e));else if(t.length>1)throw new ValueError(\"Found more than one (\"+t.length+\") load handlers for URL '\"+e+\"'\");e=t[0]}return[2,loadModelFromIOHandler(e)]})})}function loadModelFromIOHandler(e,t){return __awaiter(this,void 0,void 0,function(){var n,r,i,a,o;return __generator(this,function(s){switch(s.label){case 0:if(null==e.load)throw new ValueError(\"Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.\");return[4,e.load()];case 1:if(n=s.sent(),null!=(r=n.modelTopology).model_config&&(r=r.model_config),i=deserialize(convertPythonicToTs(r),t),null!=n.weightData){if(null==n.weightSpecs)throw new ValueError(\"Model artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.\");a=!1,o=!0,i.loadWeights(io.decodeWeights(n.weightData,n.weightSpecs),a,o)}return[2,i]}})})}serialization.SerializationMap.register(Bidirectional);var Sequential=function(e){function t(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n._updatable=!0,n.built=!1,n.name=null!=t.name?t.name:getUid(\"sequential_\"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return __extends(t,e),n=t,t.prototype.add=function(e){var t,r=e instanceof n||e instanceof Model;if(r){if(1!==(t=e).outputs.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");if(1!==t.inputs.length)throw new ValueError(\"All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.\")}if(0===this.outputs.length){if(0===e.inboundNodes.length){if(null==e.batchInputShape)throw new ValueError(\"The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.\");var i=Input({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+\"_input\"});e.apply(i)}if(r)this.outputs=t.outputs,this.inputs=t.inputs;else{if(1!==e.inboundNodes.length)throw new ValueError(\"A layer added to a Sequential model must not already be connected somewhere else. Model received layer \"+e.name+\" which has \"+e.inboundNodes.length+\" pre-existing inbound connections.\");if(1!==e.inboundNodes[0].outputTensors.length)throw new ValueError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=getSourceInputs(this.outputs[0])}this.inboundNodes=[],new Node({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:pyListRepeat(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(e){return e.shape}),outputShapes:this.outputs[0].shape})}else{var a=e.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError(\"All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.\");this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(0===this.layers.length)throw new TypeError(\"There are no layers in the model.\");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,t){return null==this.model&&this.build(),this.model.call(e,t)},t.prototype.build=function(e){if(getExactlyOneShape(e),0===this.inputs.length||0===this.outputs.length)throw new TypeError(\"Sequential model cannot be built: model is empty. 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by @mathias */\n;(function(root) {\n\n\t/** Detect free variables */\n\tvar freeExports = typeof exports == 'object' && exports &&\n\t\t!exports.nodeType && exports;\n\tvar freeModule = typeof module == 'object' && module &&\n\t\t!module.nodeType && module;\n\tvar freeGlobal = typeof global == 'object' && global;\n\tif (\n\t\tfreeGlobal.global === freeGlobal ||\n\t\tfreeGlobal.window === freeGlobal ||\n\t\tfreeGlobal.self === freeGlobal\n\t) {\n\t\troot = freeGlobal;\n\t}\n\n\t/**\n\t * The `punycode` object.\n\t * @name punycode\n\t * @type Object\n\t */\n\tvar punycode,\n\n\t/** Highest positive signed 32-bit float value */\n\tmaxInt = 2147483647, // aka. 0x7FFFFFFF or 2^31-1\n\n\t/** Bootstring parameters */\n\tbase = 36,\n\ttMin = 1,\n\ttMax = 26,\n\tskew = 38,\n\tdamp = 700,\n\tinitialBias = 72,\n\tinitialN = 128, // 0x80\n\tdelimiter = '-', // '\\x2D'\n\n\t/** Regular expressions */\n\tregexPunycode = /^xn--/,\n\tregexNonASCII = /[^\\x20-\\x7E]/, // unprintable ASCII chars + non-ASCII chars\n\tregexSeparators = /[\\x2E\\u3002\\uFF0E\\uFF61]/g, // RFC 3490 separators\n\n\t/** Error messages */\n\terrors = {\n\t\t'overflow': 'Overflow: input needs wider integers to process',\n\t\t'not-basic': 'Illegal input >= 0x80 (not a basic code point)',\n\t\t'invalid-input': 'Invalid input'\n\t},\n\n\t/** Convenience shortcuts */\n\tbaseMinusTMin = base - tMin,\n\tfloor = Math.floor,\n\tstringFromCharCode = String.fromCharCode,\n\n\t/** Temporary variable */\n\tkey;\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/**\n\t * A generic error utility function.\n\t * @private\n\t * @param {String} type The error type.\n\t * @returns {Error} Throws a `RangeError` with the applicable error message.\n\t */\n\tfunction error(type) {\n\t\tthrow new RangeError(errors[type]);\n\t}\n\n\t/**\n\t * A generic `Array#map` utility function.\n\t * @private\n\t * @param {Array} array The array to iterate over.\n\t * @param {Function} callback The function that gets called for every array\n\t * item.\n\t * @returns {Array} A new array of values returned by the callback function.\n\t */\n\tfunction map(array, fn) {\n\t\tvar length = array.length;\n\t\tvar result = [];\n\t\twhile (length--) {\n\t\t\tresult[length] = fn(array[length]);\n\t\t}\n\t\treturn result;\n\t}\n\n\t/**\n\t * A simple `Array#map`-like wrapper to work with domain name strings or email\n\t * addresses.\n\t * @private\n\t * @param {String} domain The domain name or email address.\n\t * @param {Function} callback The function that gets called for every\n\t * character.\n\t * @returns {Array} A new string of characters returned by the callback\n\t * function.\n\t */\n\tfunction mapDomain(string, fn) {\n\t\tvar parts = string.split('@');\n\t\tvar result = '';\n\t\tif (parts.length > 1) {\n\t\t\t// In email addresses, only the domain name should be punycoded. Leave\n\t\t\t// the local part (i.e. everything up to `@`) intact.\n\t\t\tresult = parts[0] + '@';\n\t\t\tstring = parts[1];\n\t\t}\n\t\t// Avoid `split(regex)` for IE8 compatibility. See #17.\n\t\tstring = string.replace(regexSeparators, '\\x2E');\n\t\tvar labels = string.split('.');\n\t\tvar encoded = map(labels, fn).join('.');\n\t\treturn result + encoded;\n\t}\n\n\t/**\n\t * Creates an array containing the numeric code points of each Unicode\n\t * character in the string. While JavaScript uses UCS-2 internally,\n\t * this function will convert a pair of surrogate halves (each of which\n\t * UCS-2 exposes as separate characters) into a single code point,\n\t * matching UTF-16.\n\t * @see `punycode.ucs2.encode`\n\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t * @memberOf punycode.ucs2\n\t * @name decode\n\t * @param {String} string The Unicode input string (UCS-2).\n\t * @returns {Array} The new array of code points.\n\t */\n\tfunction ucs2decode(string) {\n\t\tvar output = [],\n\t\t    counter = 0,\n\t\t    length = string.length,\n\t\t    value,\n\t\t    extra;\n\t\twhile (counter < length) {\n\t\t\tvalue = string.charCodeAt(counter++);\n\t\t\tif (value >= 0xD800 && value <= 0xDBFF && counter < length) {\n\t\t\t\t// high surrogate, and there is a next character\n\t\t\t\textra = string.charCodeAt(counter++);\n\t\t\t\tif ((extra & 0xFC00) == 0xDC00) { // low surrogate\n\t\t\t\t\toutput.push(((value & 0x3FF) << 10) + (extra & 0x3FF) + 0x10000);\n\t\t\t\t} else {\n\t\t\t\t\t// unmatched surrogate; only append this code unit, in case the next\n\t\t\t\t\t// code unit is the high surrogate of a surrogate pair\n\t\t\t\t\toutput.push(value);\n\t\t\t\t\tcounter--;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\toutput.push(value);\n\t\t\t}\n\t\t}\n\t\treturn output;\n\t}\n\n\t/**\n\t * Creates a string based on an array of numeric code points.\n\t * @see `punycode.ucs2.decode`\n\t * @memberOf punycode.ucs2\n\t * @name encode\n\t * @param {Array} codePoints The array of numeric code points.\n\t * @returns {String} The new Unicode string (UCS-2).\n\t */\n\tfunction ucs2encode(array) {\n\t\treturn map(array, function(value) {\n\t\t\tvar output = '';\n\t\t\tif (value > 0xFFFF) {\n\t\t\t\tvalue -= 0x10000;\n\t\t\t\toutput += stringFromCharCode(value >>> 10 & 0x3FF | 0xD800);\n\t\t\t\tvalue = 0xDC00 | value & 0x3FF;\n\t\t\t}\n\t\t\toutput += stringFromCharCode(value);\n\t\t\treturn output;\n\t\t}).join('');\n\t}\n\n\t/**\n\t * Converts a basic code point into a digit/integer.\n\t * @see `digitToBasic()`\n\t * @private\n\t * @param {Number} codePoint The basic numeric code point value.\n\t * @returns {Number} The numeric value of a basic code point (for use in\n\t * representing integers) in the range `0` to `base - 1`, or `base` if\n\t * the code point does not represent a value.\n\t */\n\tfunction basicToDigit(codePoint) {\n\t\tif (codePoint - 48 < 10) {\n\t\t\treturn codePoint - 22;\n\t\t}\n\t\tif (codePoint - 65 < 26) {\n\t\t\treturn codePoint - 65;\n\t\t}\n\t\tif (codePoint - 97 < 26) {\n\t\t\treturn codePoint - 97;\n\t\t}\n\t\treturn base;\n\t}\n\n\t/**\n\t * Converts a digit/integer into a basic code point.\n\t * @see `basicToDigit()`\n\t * @private\n\t * @param {Number} digit The numeric value of a basic code point.\n\t * @returns {Number} The basic code point whose value (when used for\n\t * representing integers) is `digit`, which needs to be in the range\n\t * `0` to `base - 1`. If `flag` is non-zero, the uppercase form is\n\t * used; else, the lowercase form is used. The behavior is undefined\n\t * if `flag` is non-zero and `digit` has no uppercase form.\n\t */\n\tfunction digitToBasic(digit, flag) {\n\t\t//  0..25 map to ASCII a..z or A..Z\n\t\t// 26..35 map to ASCII 0..9\n\t\treturn digit + 22 + 75 * (digit < 26) - ((flag != 0) << 5);\n\t}\n\n\t/**\n\t * Bias adaptation function as per section 3.4 of RFC 3492.\n\t * https://tools.ietf.org/html/rfc3492#section-3.4\n\t * @private\n\t */\n\tfunction adapt(delta, numPoints, firstTime) {\n\t\tvar k = 0;\n\t\tdelta = firstTime ? floor(delta / damp) : delta >> 1;\n\t\tdelta += floor(delta / numPoints);\n\t\tfor (/* no initialization */; delta > baseMinusTMin * tMax >> 1; k += base) {\n\t\t\tdelta = floor(delta / baseMinusTMin);\n\t\t}\n\t\treturn floor(k + (baseMinusTMin + 1) * delta / (delta + skew));\n\t}\n\n\t/**\n\t * Converts a Punycode string of ASCII-only symbols to a string of Unicode\n\t * symbols.\n\t * @memberOf punycode\n\t * @param {String} input The Punycode string of ASCII-only symbols.\n\t * @returns {String} The resulting string of Unicode symbols.\n\t */\n\tfunction decode(input) {\n\t\t// Don't use UCS-2\n\t\tvar output = [],\n\t\t    inputLength = input.length,\n\t\t    out,\n\t\t    i = 0,\n\t\t    n = initialN,\n\t\t    bias = initialBias,\n\t\t    basic,\n\t\t    j,\n\t\t    index,\n\t\t    oldi,\n\t\t    w,\n\t\t    k,\n\t\t    digit,\n\t\t    t,\n\t\t    /** Cached calculation results */\n\t\t    baseMinusT;\n\n\t\t// Handle the basic code points: let `basic` be the number of input code\n\t\t// points before the last delimiter, or `0` if there is none, then copy\n\t\t// the first basic code points to the output.\n\n\t\tbasic = input.lastIndexOf(delimiter);\n\t\tif (basic < 0) {\n\t\t\tbasic = 0;\n\t\t}\n\n\t\tfor (j = 0; j < basic; ++j) {\n\t\t\t// if it's not a basic code point\n\t\t\tif (input.charCodeAt(j) >= 0x80) {\n\t\t\t\terror('not-basic');\n\t\t\t}\n\t\t\toutput.push(input.charCodeAt(j));\n\t\t}\n\n\t\t// Main decoding loop: start just after the last delimiter if any basic code\n\t\t// points were copied; start at the beginning otherwise.\n\n\t\tfor (index = basic > 0 ? basic + 1 : 0; index < inputLength; /* no final expression */) {\n\n\t\t\t// `index` is the index of the next character to be consumed.\n\t\t\t// Decode a generalized variable-length integer into `delta`,\n\t\t\t// which gets added to `i`. The overflow checking is easier\n\t\t\t// if we increase `i` as we go, then subtract off its starting\n\t\t\t// value at the end to obtain `delta`.\n\t\t\tfor (oldi = i, w = 1, k = base; /* no condition */; k += base) {\n\n\t\t\t\tif (index >= inputLength) {\n\t\t\t\t\terror('invalid-input');\n\t\t\t\t}\n\n\t\t\t\tdigit = basicToDigit(input.charCodeAt(index++));\n\n\t\t\t\tif (digit >= base || digit > floor((maxInt - i) / w)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\ti += digit * w;\n\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\n\t\t\t\tif (digit < t) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\n\t\t\t\tbaseMinusT = base - t;\n\t\t\t\tif (w > floor(maxInt / baseMinusT)) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tw *= baseMinusT;\n\n\t\t\t}\n\n\t\t\tout = output.length + 1;\n\t\t\tbias = adapt(i - oldi, out, oldi == 0);\n\n\t\t\t// `i` was supposed to wrap around from `out` to `0`,\n\t\t\t// incrementing `n` each time, so we'll fix that now:\n\t\t\tif (floor(i / out) > maxInt - n) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tn += floor(i / out);\n\t\t\ti %= out;\n\n\t\t\t// Insert `n` at position `i` of the output\n\t\t\toutput.splice(i++, 0, n);\n\n\t\t}\n\n\t\treturn ucs2encode(output);\n\t}\n\n\t/**\n\t * Converts a string of Unicode symbols (e.g. a domain name label) to a\n\t * Punycode string of ASCII-only symbols.\n\t * @memberOf punycode\n\t * @param {String} input The string of Unicode symbols.\n\t * @returns {String} The resulting Punycode string of ASCII-only symbols.\n\t */\n\tfunction encode(input) {\n\t\tvar n,\n\t\t    delta,\n\t\t    handledCPCount,\n\t\t    basicLength,\n\t\t    bias,\n\t\t    j,\n\t\t    m,\n\t\t    q,\n\t\t    k,\n\t\t    t,\n\t\t    currentValue,\n\t\t    output = [],\n\t\t    /** `inputLength` will hold the number of code points in `input`. */\n\t\t    inputLength,\n\t\t    /** Cached calculation results */\n\t\t    handledCPCountPlusOne,\n\t\t    baseMinusT,\n\t\t    qMinusT;\n\n\t\t// Convert the input in UCS-2 to Unicode\n\t\tinput = ucs2decode(input);\n\n\t\t// Cache the length\n\t\tinputLength = input.length;\n\n\t\t// Initialize the state\n\t\tn = initialN;\n\t\tdelta = 0;\n\t\tbias = initialBias;\n\n\t\t// Handle the basic code points\n\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\tcurrentValue = input[j];\n\t\t\tif (currentValue < 0x80) {\n\t\t\t\toutput.push(stringFromCharCode(currentValue));\n\t\t\t}\n\t\t}\n\n\t\thandledCPCount = basicLength = output.length;\n\n\t\t// `handledCPCount` is the number of code points that have been handled;\n\t\t// `basicLength` is the number of basic code points.\n\n\t\t// Finish the basic string - if it is not empty - with a delimiter\n\t\tif (basicLength) {\n\t\t\toutput.push(delimiter);\n\t\t}\n\n\t\t// Main encoding loop:\n\t\twhile (handledCPCount < inputLength) {\n\n\t\t\t// All non-basic code points < n have been handled already. Find the next\n\t\t\t// larger one:\n\t\t\tfor (m = maxInt, j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\t\t\t\tif (currentValue >= n && currentValue < m) {\n\t\t\t\t\tm = currentValue;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Increase `delta` enough to advance the decoder's <n,i> state to <m,0>,\n\t\t\t// but guard against overflow\n\t\t\thandledCPCountPlusOne = handledCPCount + 1;\n\t\t\tif (m - n > floor((maxInt - delta) / handledCPCountPlusOne)) {\n\t\t\t\terror('overflow');\n\t\t\t}\n\n\t\t\tdelta += (m - n) * handledCPCountPlusOne;\n\t\t\tn = m;\n\n\t\t\tfor (j = 0; j < inputLength; ++j) {\n\t\t\t\tcurrentValue = input[j];\n\n\t\t\t\tif (currentValue < n && ++delta > maxInt) {\n\t\t\t\t\terror('overflow');\n\t\t\t\t}\n\n\t\t\t\tif (currentValue == n) {\n\t\t\t\t\t// Represent delta as a generalized variable-length integer\n\t\t\t\t\tfor (q = delta, k = base; /* no condition */; k += base) {\n\t\t\t\t\t\tt = k <= bias ? tMin : (k >= bias + tMax ? tMax : k - bias);\n\t\t\t\t\t\tif (q < t) {\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tqMinusT = q - t;\n\t\t\t\t\t\tbaseMinusT = base - t;\n\t\t\t\t\t\toutput.push(\n\t\t\t\t\t\t\tstringFromCharCode(digitToBasic(t + qMinusT % baseMinusT, 0))\n\t\t\t\t\t\t);\n\t\t\t\t\t\tq = floor(qMinusT / baseMinusT);\n\t\t\t\t\t}\n\n\t\t\t\t\toutput.push(stringFromCharCode(digitToBasic(q, 0)));\n\t\t\t\t\tbias = adapt(delta, handledCPCountPlusOne, handledCPCount == basicLength);\n\t\t\t\t\tdelta = 0;\n\t\t\t\t\t++handledCPCount;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t++delta;\n\t\t\t++n;\n\n\t\t}\n\t\treturn output.join('');\n\t}\n\n\t/**\n\t * Converts a Punycode string representing a domain name or an email address\n\t * to Unicode. Only the Punycoded parts of the input will be converted, i.e.\n\t * it doesn't matter if you call it on a string that has already been\n\t * converted to Unicode.\n\t * @memberOf punycode\n\t * @param {String} input The Punycoded domain name or email address to\n\t * convert to Unicode.\n\t * @returns {String} The Unicode representation of the given Punycode\n\t * string.\n\t */\n\tfunction toUnicode(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexPunycode.test(string)\n\t\t\t\t? decode(string.slice(4).toLowerCase())\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/**\n\t * Converts a Unicode string representing a domain name or an email address to\n\t * Punycode. Only the non-ASCII parts of the domain name will be converted,\n\t * i.e. it doesn't matter if you call it with a domain that's already in\n\t * ASCII.\n\t * @memberOf punycode\n\t * @param {String} input The domain name or email address to convert, as a\n\t * Unicode string.\n\t * @returns {String} The Punycode representation of the given domain name or\n\t * email address.\n\t */\n\tfunction toASCII(input) {\n\t\treturn mapDomain(input, function(string) {\n\t\t\treturn regexNonASCII.test(string)\n\t\t\t\t? 'xn--' + encode(string)\n\t\t\t\t: string;\n\t\t});\n\t}\n\n\t/*--------------------------------------------------------------------------*/\n\n\t/** Define the public API */\n\tpunycode = {\n\t\t/**\n\t\t * A string representing the current Punycode.js version number.\n\t\t * @memberOf punycode\n\t\t * @type String\n\t\t */\n\t\t'version': '1.4.1',\n\t\t/**\n\t\t * An object of methods to convert from JavaScript's internal character\n\t\t * representation (UCS-2) to Unicode code points, and back.\n\t\t * @see <https://mathiasbynens.be/notes/javascript-encoding>\n\t\t * @memberOf punycode\n\t\t * @type Object\n\t\t */\n\t\t'ucs2': {\n\t\t\t'decode': ucs2decode,\n\t\t\t'encode': ucs2encode\n\t\t},\n\t\t'decode': decode,\n\t\t'encode': encode,\n\t\t'toASCII': toASCII,\n\t\t'toUnicode': toUnicode\n\t};\n\n\t/** Expose `punycode` */\n\t// Some AMD build optimizers, like r.js, check for specific condition patterns\n\t// like the following:\n\tif (\n\t\ttypeof define == 'function' &&\n\t\ttypeof define.amd == 'object' &&\n\t\tdefine.amd\n\t) {\n\t\tdefine('punycode', function() {\n\t\t\treturn punycode;\n\t\t});\n\t} else if (freeExports && freeModule) {\n\t\tif (module.exports == freeExports) {\n\t\t\t// in Node.js, io.js, or RingoJS v0.8.0+\n\t\t\tfreeModule.exports = punycode;\n\t\t} else {\n\t\t\t// in Narwhal or RingoJS v0.7.0-\n\t\t\tfor (key in punycode) {\n\t\t\t\tpunycode.hasOwnProperty(key) && (freeExports[key] = punycode[key]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\t// in Rhino or a web browser\n\t\troot.punycode = punycode;\n\t}\n\n}(this));\n","'use strict';\n\nmodule.exports = {\n  isString: function(arg) {\n    return typeof(arg) === 'string';\n  },\n  isObject: function(arg) {\n    return typeof(arg) === 'object' && arg !== null;\n  },\n  isNull: function(arg) {\n    return arg === null;\n  },\n  isNullOrUndefined: function(arg) {\n    return arg == null;\n  }\n};\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\n// If obj.hasOwnProperty has been overridden, then calling\n// obj.hasOwnProperty(prop) will break.\n// See: https://github.com/joyent/node/issues/1707\nfunction hasOwnProperty(obj, prop) {\n  return Object.prototype.hasOwnProperty.call(obj, prop);\n}\n\nmodule.exports = function(qs, sep, eq, options) {\n  sep = sep || '&';\n  eq = eq || '=';\n  var obj = {};\n\n  if (typeof qs !== 'string' || qs.length === 0) {\n    return obj;\n  }\n\n  var regexp = /\\+/g;\n  qs = qs.split(sep);\n\n  var maxKeys = 1000;\n  if (options && typeof options.maxKeys === 'number') {\n    maxKeys = options.maxKeys;\n  }\n\n  var len = qs.length;\n  // maxKeys <= 0 means that we should not limit keys count\n  if (maxKeys > 0 && len > maxKeys) {\n    len = maxKeys;\n  }\n\n  for (var i = 0; i < len; ++i) {\n    var x = qs[i].replace(regexp, '%20'),\n        idx = x.indexOf(eq),\n        kstr, vstr, k, v;\n\n    if (idx >= 0) {\n      kstr = x.substr(0, idx);\n      vstr = x.substr(idx + 1);\n    } else {\n      kstr = x;\n      vstr = '';\n    }\n\n    k = decodeURIComponent(kstr);\n    v = decodeURIComponent(vstr);\n\n    if (!hasOwnProperty(obj, k)) {\n      obj[k] = v;\n    } else if (isArray(obj[k])) {\n      obj[k].push(v);\n    } else {\n      obj[k] = [obj[k], v];\n    }\n  }\n\n  return obj;\n};\n\nvar isArray = Array.isArray || function (xs) {\n  return Object.prototype.toString.call(xs) === '[object Array]';\n};\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\nvar stringifyPrimitive = function(v) {\n  switch (typeof v) {\n    case 'string':\n      return v;\n\n    case 'boolean':\n      return v ? 'true' : 'false';\n\n    case 'number':\n      return isFinite(v) ? v : '';\n\n    default:\n      return '';\n  }\n};\n\nmodule.exports = function(obj, sep, eq, name) {\n  sep = sep || '&';\n  eq = eq || '=';\n  if (obj === null) {\n    obj = undefined;\n  }\n\n  if (typeof obj === 'object') {\n    return map(objectKeys(obj), function(k) {\n      var ks = encodeURIComponent(stringifyPrimitive(k)) + eq;\n      if (isArray(obj[k])) {\n        return map(obj[k], function(v) {\n          return ks + encodeURIComponent(stringifyPrimitive(v));\n        }).join(sep);\n      } else {\n        return ks + encodeURIComponent(stringifyPrimitive(obj[k]));\n      }\n    }).join(sep);\n\n  }\n\n  if (!name) return '';\n  return encodeURIComponent(stringifyPrimitive(name)) + eq +\n         encodeURIComponent(stringifyPrimitive(obj));\n};\n\nvar isArray = Array.isArray || function (xs) {\n  return Object.prototype.toString.call(xs) === '[object Array]';\n};\n\nfunction map (xs, f) {\n  if (xs.map) return xs.map(f);\n  var res = [];\n  for (var i = 0; i < xs.length; i++) {\n    res.push(f(xs[i], i));\n  }\n  return res;\n}\n\nvar objectKeys = Object.keys || function (obj) {\n  var res = [];\n  for (var key in obj) {\n    if (Object.prototype.hasOwnProperty.call(obj, key)) res.push(key);\n  }\n  return res;\n};\n","'use strict';\n\nexports.decode = exports.parse = require('./decode');\nexports.encode = exports.stringify = require('./encode');\n","// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n'use strict';\n\nvar punycode = require('punycode');\nvar util = require('./util');\n\nexports.parse = urlParse;\nexports.resolve = urlResolve;\nexports.resolveObject = urlResolveObject;\nexports.format = urlFormat;\n\nexports.Url = Url;\n\nfunction Url() {\n  this.protocol = null;\n  this.slashes = null;\n  this.auth = null;\n  this.host = null;\n  this.port = null;\n  this.hostname = null;\n  this.hash = null;\n  this.search = null;\n  this.query = null;\n  this.pathname = null;\n  this.path = null;\n  this.href = null;\n}\n\n// Reference: RFC 3986, RFC 1808, RFC 2396\n\n// define these here so at least they only have to be\n// compiled once on the first module load.\nvar protocolPattern = /^([a-z0-9.+-]+:)/i,\n    portPattern = /:[0-9]*$/,\n\n    // Special case for a simple path URL\n    simplePathPattern = /^(\\/\\/?(?!\\/)[^\\?\\s]*)(\\?[^\\s]*)?$/,\n\n    // RFC 2396: characters reserved for delimiting URLs.\n    // We actually just auto-escape these.\n    delims = ['<', '>', '\"', '`', ' ', '\\r', '\\n', '\\t'],\n\n    // RFC 2396: characters not allowed for various reasons.\n    unwise = ['{', '}', '|', '\\\\', '^', '`'].concat(delims),\n\n    // Allowed by RFCs, but cause of XSS attacks.  Always escape these.\n    autoEscape = ['\\''].concat(unwise),\n    // Characters that are never ever allowed in a hostname.\n    // Note that any invalid chars are also handled, but these\n    // are the ones that are *expected* to be seen, so we fast-path\n    // them.\n    nonHostChars = ['%', '/', '?', ';', '#'].concat(autoEscape),\n    hostEndingChars = ['/', '?', '#'],\n    hostnameMaxLen = 255,\n    hostnamePartPattern = /^[+a-z0-9A-Z_-]{0,63}$/,\n    hostnamePartStart = /^([+a-z0-9A-Z_-]{0,63})(.*)$/,\n    // protocols that can allow \"unsafe\" and \"unwise\" chars.\n    unsafeProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that never have a hostname.\n    hostlessProtocol = {\n      'javascript': true,\n      'javascript:': true\n    },\n    // protocols that always contain a // bit.\n    slashedProtocol = {\n      'http': true,\n      'https': true,\n      'ftp': true,\n      'gopher': true,\n      'file': true,\n      'http:': true,\n      'https:': true,\n      'ftp:': true,\n      'gopher:': true,\n      'file:': true\n    },\n    querystring = require('querystring');\n\nfunction urlParse(url, parseQueryString, slashesDenoteHost) {\n  if (url && util.isObject(url) && url instanceof Url) return url;\n\n  var u = new Url;\n  u.parse(url, parseQueryString, slashesDenoteHost);\n  return u;\n}\n\nUrl.prototype.parse = function(url, parseQueryString, slashesDenoteHost) {\n  if (!util.isString(url)) {\n    throw new TypeError(\"Parameter 'url' must be a string, not \" + typeof url);\n  }\n\n  // Copy chrome, IE, opera backslash-handling behavior.\n  // Back slashes before the query string get converted to forward slashes\n  // See: https://code.google.com/p/chromium/issues/detail?id=25916\n  var queryIndex = url.indexOf('?'),\n      splitter =\n          (queryIndex !== -1 && queryIndex < url.indexOf('#')) ? '?' : '#',\n      uSplit = url.split(splitter),\n      slashRegex = /\\\\/g;\n  uSplit[0] = uSplit[0].replace(slashRegex, '/');\n  url = uSplit.join(splitter);\n\n  var rest = url;\n\n  // trim before proceeding.\n  // This is to support parse stuff like \"  http://foo.com  \\n\"\n  rest = rest.trim();\n\n  if (!slashesDenoteHost && url.split('#').length === 1) {\n    // Try fast path regexp\n    var simplePath = simplePathPattern.exec(rest);\n    if (simplePath) {\n      this.path = rest;\n      this.href = rest;\n      this.pathname = simplePath[1];\n      if (simplePath[2]) {\n        this.search = simplePath[2];\n        if (parseQueryString) {\n          this.query = querystring.parse(this.search.substr(1));\n        } else {\n          this.query = this.search.substr(1);\n        }\n      } else if (parseQueryString) {\n        this.search = '';\n        this.query = {};\n      }\n      return this;\n    }\n  }\n\n  var proto = protocolPattern.exec(rest);\n  if (proto) {\n    proto = proto[0];\n    var lowerProto = proto.toLowerCase();\n    this.protocol = lowerProto;\n    rest = rest.substr(proto.length);\n  }\n\n  // figure out if it's got a host\n  // user@server is *always* interpreted as a hostname, and url\n  // resolution will treat //foo/bar as host=foo,path=bar because that's\n  // how the browser resolves relative URLs.\n  if (slashesDenoteHost || proto || rest.match(/^\\/\\/[^@\\/]+@[^@\\/]+/)) {\n    var slashes = rest.substr(0, 2) === '//';\n    if (slashes && !(proto && hostlessProtocol[proto])) {\n      rest = rest.substr(2);\n      this.slashes = true;\n    }\n  }\n\n  if (!hostlessProtocol[proto] &&\n      (slashes || (proto && !slashedProtocol[proto]))) {\n\n    // there's a hostname.\n    // the first instance of /, ?, ;, or # ends the host.\n    //\n    // If there is an @ in the hostname, then non-host chars *are* allowed\n    // to the left of the last @ sign, unless some host-ending character\n    // comes *before* the @-sign.\n    // URLs are obnoxious.\n    //\n    // ex:\n    // http://a@b@c/ => user:a@b host:c\n    // http://a@b?@c => user:a host:c path:/?@c\n\n    // v0.12 TODO(isaacs): This is not quite how Chrome does things.\n    // Review our test case against browsers more comprehensively.\n\n    // find the first instance of any hostEndingChars\n    var hostEnd = -1;\n    for (var i = 0; i < hostEndingChars.length; i++) {\n      var hec = rest.indexOf(hostEndingChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n\n    // at this point, either we have an explicit point where the\n    // auth portion cannot go past, or the last @ char is the decider.\n    var auth, atSign;\n    if (hostEnd === -1) {\n      // atSign can be anywhere.\n      atSign = rest.lastIndexOf('@');\n    } else {\n      // atSign must be in auth portion.\n      // http://a@b/c@d => host:b auth:a path:/c@d\n      atSign = rest.lastIndexOf('@', hostEnd);\n    }\n\n    // Now we have a portion which is definitely the auth.\n    // Pull that off.\n    if (atSign !== -1) {\n      auth = rest.slice(0, atSign);\n      rest = rest.slice(atSign + 1);\n      this.auth = decodeURIComponent(auth);\n    }\n\n    // the host is the remaining to the left of the first non-host char\n    hostEnd = -1;\n    for (var i = 0; i < nonHostChars.length; i++) {\n      var hec = rest.indexOf(nonHostChars[i]);\n      if (hec !== -1 && (hostEnd === -1 || hec < hostEnd))\n        hostEnd = hec;\n    }\n    // if we still have not hit it, then the entire thing is a host.\n    if (hostEnd === -1)\n      hostEnd = rest.length;\n\n    this.host = rest.slice(0, hostEnd);\n    rest = rest.slice(hostEnd);\n\n    // pull out port.\n    this.parseHost();\n\n    // we've indicated that there is a hostname,\n    // so even if it's empty, it has to be present.\n    this.hostname = this.hostname || '';\n\n    // if hostname begins with [ and ends with ]\n    // assume that it's an IPv6 address.\n    var ipv6Hostname = this.hostname[0] === '[' &&\n        this.hostname[this.hostname.length - 1] === ']';\n\n    // validate a little.\n    if (!ipv6Hostname) {\n      var hostparts = this.hostname.split(/\\./);\n      for (var i = 0, l = hostparts.length; i < l; i++) {\n        var part = hostparts[i];\n        if (!part) continue;\n        if (!part.match(hostnamePartPattern)) {\n          var newpart = '';\n          for (var j = 0, k = part.length; j < k; j++) {\n            if (part.charCodeAt(j) > 127) {\n              // we replace non-ASCII char with a temporary placeholder\n              // we need this to make sure size of hostname is not\n              // broken by replacing non-ASCII by nothing\n              newpart += 'x';\n            } else {\n              newpart += part[j];\n            }\n          }\n          // we test again with ASCII char only\n          if (!newpart.match(hostnamePartPattern)) {\n            var validParts = hostparts.slice(0, i);\n            var notHost = hostparts.slice(i + 1);\n            var bit = part.match(hostnamePartStart);\n            if (bit) {\n              validParts.push(bit[1]);\n              notHost.unshift(bit[2]);\n            }\n            if (notHost.length) {\n              rest = '/' + notHost.join('.') + rest;\n            }\n            this.hostname = validParts.join('.');\n            break;\n          }\n        }\n      }\n    }\n\n    if (this.hostname.length > hostnameMaxLen) {\n      this.hostname = '';\n    } else {\n      // hostnames are always lower case.\n      this.hostname = this.hostname.toLowerCase();\n    }\n\n    if (!ipv6Hostname) {\n      // IDNA Support: Returns a punycoded representation of \"domain\".\n      // It only converts parts of the domain name that\n      // have non-ASCII characters, i.e. it doesn't matter if\n      // you call it with a domain that already is ASCII-only.\n      this.hostname = punycode.toASCII(this.hostname);\n    }\n\n    var p = this.port ? ':' + this.port : '';\n    var h = this.hostname || '';\n    this.host = h + p;\n    this.href += this.host;\n\n    // strip [ and ] from the hostname\n    // the host field still retains them, though\n    if (ipv6Hostname) {\n      this.hostname = this.hostname.substr(1, this.hostname.length - 2);\n      if (rest[0] !== '/') {\n        rest = '/' + rest;\n      }\n    }\n  }\n\n  // now rest is set to the post-host stuff.\n  // chop off any delim chars.\n  if (!unsafeProtocol[lowerProto]) {\n\n    // First, make 100% sure that any \"autoEscape\" chars get\n    // escaped, even if encodeURIComponent doesn't think they\n    // need to be.\n    for (var i = 0, l = autoEscape.length; i < l; i++) {\n      var ae = autoEscape[i];\n      if (rest.indexOf(ae) === -1)\n        continue;\n      var esc = encodeURIComponent(ae);\n      if (esc === ae) {\n        esc = escape(ae);\n      }\n      rest = rest.split(ae).join(esc);\n    }\n  }\n\n\n  // chop off from the tail first.\n  var hash = rest.indexOf('#');\n  if (hash !== -1) {\n    // got a fragment string.\n    this.hash = rest.substr(hash);\n    rest = rest.slice(0, hash);\n  }\n  var qm = rest.indexOf('?');\n  if (qm !== -1) {\n    this.search = rest.substr(qm);\n    this.query = rest.substr(qm + 1);\n    if (parseQueryString) {\n      this.query = querystring.parse(this.query);\n    }\n    rest = rest.slice(0, qm);\n  } else if (parseQueryString) {\n    // no query string, but parseQueryString still requested\n    this.search = '';\n    this.query = {};\n  }\n  if (rest) this.pathname = rest;\n  if (slashedProtocol[lowerProto] &&\n      this.hostname && !this.pathname) {\n    this.pathname = '/';\n  }\n\n  //to support http.request\n  if (this.pathname || this.search) {\n    var p = this.pathname || '';\n    var s = this.search || '';\n    this.path = p + s;\n  }\n\n  // finally, reconstruct the href based on what has been validated.\n  this.href = this.format();\n  return this;\n};\n\n// format a parsed object into a url string\nfunction urlFormat(obj) {\n  // ensure it's an object, and not a string url.\n  // If it's an obj, this is a no-op.\n  // this way, you can call url_format() on strings\n  // to clean up potentially wonky urls.\n  if (util.isString(obj)) obj = urlParse(obj);\n  if (!(obj instanceof Url)) return Url.prototype.format.call(obj);\n  return obj.format();\n}\n\nUrl.prototype.format = function() {\n  var auth = this.auth || '';\n  if (auth) {\n    auth = encodeURIComponent(auth);\n    auth = auth.replace(/%3A/i, ':');\n    auth += '@';\n  }\n\n  var protocol = this.protocol || '',\n      pathname = this.pathname || '',\n      hash = this.hash || '',\n      host = false,\n      query = '';\n\n  if (this.host) {\n    host = auth + this.host;\n  } else if (this.hostname) {\n    host = auth + (this.hostname.indexOf(':') === -1 ?\n        this.hostname :\n        '[' + this.hostname + ']');\n    if (this.port) {\n      host += ':' + this.port;\n    }\n  }\n\n  if (this.query &&\n      util.isObject(this.query) &&\n      Object.keys(this.query).length) {\n    query = querystring.stringify(this.query);\n  }\n\n  var search = this.search || (query && ('?' + query)) || '';\n\n  if (protocol && protocol.substr(-1) !== ':') protocol += ':';\n\n  // only the slashedProtocols get the //.  Not mailto:, xmpp:, etc.\n  // unless they had them to begin with.\n  if (this.slashes ||\n      (!protocol || slashedProtocol[protocol]) && host !== false) {\n    host = '//' + (host || '');\n    if (pathname && pathname.charAt(0) !== '/') pathname = '/' + pathname;\n  } else if (!host) {\n    host = '';\n  }\n\n  if (hash && hash.charAt(0) !== '#') hash = '#' + hash;\n  if (search && search.charAt(0) !== '?') search = '?' + search;\n\n  pathname = pathname.replace(/[?#]/g, function(match) {\n    return encodeURIComponent(match);\n  });\n  search = search.replace('#', '%23');\n\n  return protocol + host + pathname + search + hash;\n};\n\nfunction urlResolve(source, relative) {\n  return urlParse(source, false, true).resolve(relative);\n}\n\nUrl.prototype.resolve = function(relative) {\n  return this.resolveObject(urlParse(relative, false, true)).format();\n};\n\nfunction urlResolveObject(source, relative) {\n  if (!source) return relative;\n  return urlParse(source, false, true).resolveObject(relative);\n}\n\nUrl.prototype.resolveObject = function(relative) {\n  if (util.isString(relative)) {\n    var rel = new Url();\n    rel.parse(relative, false, true);\n    relative = rel;\n  }\n\n  var result = new Url();\n  var tkeys = Object.keys(this);\n  for (var tk = 0; tk < tkeys.length; tk++) {\n    var tkey = tkeys[tk];\n    result[tkey] = this[tkey];\n  }\n\n  // hash is always overridden, no matter what.\n  // even href=\"\" will remove it.\n  result.hash = relative.hash;\n\n  // if the relative url is empty, then there's nothing left to do here.\n  if (relative.href === '') {\n    result.href = result.format();\n    return result;\n  }\n\n  // hrefs like //foo/bar always cut to the protocol.\n  if (relative.slashes && !relative.protocol) {\n    // take everything except the protocol from relative\n    var rkeys = Object.keys(relative);\n    for (var rk = 0; rk < rkeys.length; rk++) {\n      var rkey = rkeys[rk];\n      if (rkey !== 'protocol')\n        result[rkey] = relative[rkey];\n    }\n\n    //urlParse appends trailing / to urls like http://www.example.com\n    if (slashedProtocol[result.protocol] &&\n        result.hostname && !result.pathname) {\n      result.path = result.pathname = '/';\n    }\n\n    result.href = result.format();\n    return result;\n  }\n\n  if (relative.protocol && relative.protocol !== result.protocol) {\n    // if it's a known url protocol, then changing\n    // the protocol does weird things\n    // first, if it's not file:, then we MUST have a host,\n    // and if there was a path\n    // to begin with, then we MUST have a path.\n    // if it is file:, then the host is dropped,\n    // because that's known to be hostless.\n    // anything else is assumed to be absolute.\n    if (!slashedProtocol[relative.protocol]) {\n      var keys = Object.keys(relative);\n      for (var v = 0; v < keys.length; v++) {\n        var k = keys[v];\n        result[k] = relative[k];\n      }\n      result.href = result.format();\n      return result;\n    }\n\n    result.protocol = relative.protocol;\n    if (!relative.host && !hostlessProtocol[relative.protocol]) {\n      var relPath = (relative.pathname || '').split('/');\n      while (relPath.length && !(relative.host = relPath.shift()));\n      if (!relative.host) relative.host = '';\n      if (!relative.hostname) relative.hostname = '';\n      if (relPath[0] !== '') relPath.unshift('');\n      if (relPath.length < 2) relPath.unshift('');\n      result.pathname = relPath.join('/');\n    } else {\n      result.pathname = relative.pathname;\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    result.host = relative.host || '';\n    result.auth = relative.auth;\n    result.hostname = relative.hostname || relative.host;\n    result.port = relative.port;\n    // to support http.request\n    if (result.pathname || result.search) {\n      var p = result.pathname || '';\n      var s = result.search || '';\n      result.path = p + s;\n    }\n    result.slashes = result.slashes || relative.slashes;\n    result.href = result.format();\n    return result;\n  }\n\n  var isSourceAbs = (result.pathname && result.pathname.charAt(0) === '/'),\n      isRelAbs = (\n          relative.host ||\n          relative.pathname && relative.pathname.charAt(0) === '/'\n      ),\n      mustEndAbs = (isRelAbs || isSourceAbs ||\n                    (result.host && relative.pathname)),\n      removeAllDots = mustEndAbs,\n      srcPath = result.pathname && result.pathname.split('/') || [],\n      relPath = relative.pathname && relative.pathname.split('/') || [],\n      psychotic = result.protocol && !slashedProtocol[result.protocol];\n\n  // if the url is a non-slashed url, then relative\n  // links like ../.. should be able\n  // to crawl up to the hostname, as well.  This is strange.\n  // result.protocol has already been set by now.\n  // Later on, put the first path part into the host field.\n  if (psychotic) {\n    result.hostname = '';\n    result.port = null;\n    if (result.host) {\n      if (srcPath[0] === '') srcPath[0] = result.host;\n      else srcPath.unshift(result.host);\n    }\n    result.host = '';\n    if (relative.protocol) {\n      relative.hostname = null;\n      relative.port = null;\n      if (relative.host) {\n        if (relPath[0] === '') relPath[0] = relative.host;\n        else relPath.unshift(relative.host);\n      }\n      relative.host = null;\n    }\n    mustEndAbs = mustEndAbs && (relPath[0] === '' || srcPath[0] === '');\n  }\n\n  if (isRelAbs) {\n    // it's absolute.\n    result.host = (relative.host || relative.host === '') ?\n                  relative.host : result.host;\n    result.hostname = (relative.hostname || relative.hostname === '') ?\n                      relative.hostname : result.hostname;\n    result.search = relative.search;\n    result.query = relative.query;\n    srcPath = relPath;\n    // fall through to the dot-handling below.\n  } else if (relPath.length) {\n    // it's relative\n    // throw away the existing file, and take the new path instead.\n    if (!srcPath) srcPath = [];\n    srcPath.pop();\n    srcPath = srcPath.concat(relPath);\n    result.search = relative.search;\n    result.query = relative.query;\n  } else if (!util.isNullOrUndefined(relative.search)) {\n    // just pull out the search.\n    // like href='?foo'.\n    // Put this after the other two cases because it simplifies the booleans\n    if (psychotic) {\n      result.hostname = result.host = srcPath.shift();\n      //occationaly the auth can get stuck only in host\n      //this especially happens in cases like\n      //url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n      var authInHost = result.host && result.host.indexOf('@') > 0 ?\n                       result.host.split('@') : false;\n      if (authInHost) {\n        result.auth = authInHost.shift();\n        result.host = result.hostname = authInHost.shift();\n      }\n    }\n    result.search = relative.search;\n    result.query = relative.query;\n    //to support http.request\n    if (!util.isNull(result.pathname) || !util.isNull(result.search)) {\n      result.path = (result.pathname ? result.pathname : '') +\n                    (result.search ? result.search : '');\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  if (!srcPath.length) {\n    // no path at all.  easy.\n    // we've already handled the other stuff above.\n    result.pathname = null;\n    //to support http.request\n    if (result.search) {\n      result.path = '/' + result.search;\n    } else {\n      result.path = null;\n    }\n    result.href = result.format();\n    return result;\n  }\n\n  // if a url ENDs in . or .., then it must get a trailing slash.\n  // however, if it ends in anything else non-slashy,\n  // then it must NOT get a trailing slash.\n  var last = srcPath.slice(-1)[0];\n  var hasTrailingSlash = (\n      (result.host || relative.host || srcPath.length > 1) &&\n      (last === '.' || last === '..') || last === '');\n\n  // strip single dots, resolve double dots to parent dir\n  // if the path tries to go above the root, `up` ends up > 0\n  var up = 0;\n  for (var i = srcPath.length; i >= 0; i--) {\n    last = srcPath[i];\n    if (last === '.') {\n      srcPath.splice(i, 1);\n    } else if (last === '..') {\n      srcPath.splice(i, 1);\n      up++;\n    } else if (up) {\n      srcPath.splice(i, 1);\n      up--;\n    }\n  }\n\n  // if the path is allowed to go above the root, restore leading ..s\n  if (!mustEndAbs && !removeAllDots) {\n    for (; up--; up) {\n      srcPath.unshift('..');\n    }\n  }\n\n  if (mustEndAbs && srcPath[0] !== '' &&\n      (!srcPath[0] || srcPath[0].charAt(0) !== '/')) {\n    srcPath.unshift('');\n  }\n\n  if (hasTrailingSlash && (srcPath.join('/').substr(-1) !== '/')) {\n    srcPath.push('');\n  }\n\n  var isAbsolute = srcPath[0] === '' ||\n      (srcPath[0] && srcPath[0].charAt(0) === '/');\n\n  // put the host back\n  if (psychotic) {\n    result.hostname = result.host = isAbsolute ? '' :\n                                    srcPath.length ? srcPath.shift() : '';\n    //occationaly the auth can get stuck only in host\n    //this especially happens in cases like\n    //url.resolveObject('mailto:local1@domain1', 'local2@domain2')\n    var authInHost = result.host && result.host.indexOf('@') > 0 ?\n                     result.host.split('@') : false;\n    if (authInHost) {\n      result.auth = authInHost.shift();\n      result.host = result.hostname = authInHost.shift();\n    }\n  }\n\n  mustEndAbs = mustEndAbs || (result.host && srcPath.length);\n\n  if (mustEndAbs && !isAbsolute) {\n    srcPath.unshift('');\n  }\n\n  if (!srcPath.length) {\n    result.pathname = null;\n    result.path = null;\n  } else {\n    result.pathname = srcPath.join('/');\n  }\n\n  //to support request.http\n  if (!util.isNull(result.pathname) || !util.isNull(result.search)) {\n    result.path = (result.pathname ? result.pathname : '') +\n                  (result.search ? result.search : '');\n  }\n  result.auth = relative.auth || result.auth;\n  result.slashes = result.slashes || relative.slashes;\n  result.href = result.format();\n  return result;\n};\n\nUrl.prototype.parseHost = function() {\n  var host = this.host;\n  var port = portPattern.exec(host);\n  if (port) {\n    port = port[0];\n    if (port !== ':') {\n      this.port = port.substr(1);\n    }\n    host = host.substr(0, host.length - port.length);\n  }\n  if (host) this.hostname = host;\n};\n","\"use strict\";\r\nmodule.exports = asPromise;\r\n\r\n/**\r\n * Callback as used by {@link util.asPromise}.\r\n * @typedef asPromiseCallback\r\n * @type {function}\r\n * @param {Error|null} error Error, if any\r\n * @param {...*} params Additional arguments\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Returns a promise from a node-style callback function.\r\n * @memberof util\r\n * @param {asPromiseCallback} fn Function to call\r\n * @param {*} ctx Function context\r\n * @param {...*} params Function arguments\r\n * @returns {Promise<*>} Promisified function\r\n */\r\nfunction asPromise(fn, ctx/*, varargs */) {\r\n    var params  = new Array(arguments.length - 1),\r\n        offset  = 0,\r\n        index   = 2,\r\n        pending = true;\r\n    while (index < arguments.length)\r\n        params[offset++] = arguments[index++];\r\n    return new Promise(function executor(resolve, reject) {\r\n        params[offset] = function callback(err/*, varargs */) {\r\n            if (pending) {\r\n                pending = false;\r\n                if (err)\r\n                    reject(err);\r\n                else {\r\n                    var params = new Array(arguments.length - 1),\r\n                        offset = 0;\r\n                    while (offset < params.length)\r\n                        params[offset++] = arguments[offset];\r\n                    resolve.apply(null, params);\r\n                }\r\n            }\r\n        };\r\n        try {\r\n            fn.apply(ctx || null, params);\r\n        } catch (err) {\r\n            if (pending) {\r\n                pending = false;\r\n                reject(err);\r\n            }\r\n        }\r\n    });\r\n}\r\n","\"use strict\";\r\n\r\n/**\r\n * A minimal base64 implementation for number arrays.\r\n * @memberof util\r\n * @namespace\r\n */\r\nvar base64 = exports;\r\n\r\n/**\r\n * Calculates the byte length of a base64 encoded string.\r\n * @param {string} string Base64 encoded string\r\n * @returns {number} Byte length\r\n */\r\nbase64.length = function length(string) {\r\n    var p = string.length;\r\n    if (!p)\r\n        return 0;\r\n    var n = 0;\r\n    while (--p % 4 > 1 && string.charAt(p) === \"=\")\r\n        ++n;\r\n    return Math.ceil(string.length * 3) / 4 - n;\r\n};\r\n\r\n// Base64 encoding table\r\nvar b64 = new Array(64);\r\n\r\n// Base64 decoding table\r\nvar s64 = new Array(123);\r\n\r\n// 65..90, 97..122, 48..57, 43, 47\r\nfor (var i = 0; i < 64;)\r\n    s64[b64[i] = i < 26 ? i + 65 : i < 52 ? i + 71 : i < 62 ? i - 4 : i - 59 | 43] = i++;\r\n\r\n/**\r\n * Encodes a buffer to a base64 encoded string.\r\n * @param {Uint8Array} buffer Source buffer\r\n * @param {number} start Source start\r\n * @param {number} end Source end\r\n * @returns {string} Base64 encoded string\r\n */\r\nbase64.encode = function encode(buffer, start, end) {\r\n    var parts = null,\r\n        chunk = [];\r\n    var i = 0, // output index\r\n        j = 0, // goto index\r\n        t;     // temporary\r\n    while (start < end) {\r\n        var b = buffer[start++];\r\n        switch (j) {\r\n            case 0:\r\n                chunk[i++] = b64[b >> 2];\r\n                t = (b & 3) << 4;\r\n                j = 1;\r\n                break;\r\n            case 1:\r\n                chunk[i++] = b64[t | b >> 4];\r\n                t = (b & 15) << 2;\r\n                j = 2;\r\n                break;\r\n            case 2:\r\n                chunk[i++] = b64[t | b >> 6];\r\n                chunk[i++] = b64[b & 63];\r\n                j = 0;\r\n                break;\r\n        }\r\n        if (i > 8191) {\r\n            (parts || (parts = [])).push(String.fromCharCode.apply(String, chunk));\r\n            i = 0;\r\n        }\r\n    }\r\n    if (j) {\r\n        chunk[i++] = b64[t];\r\n        chunk[i++] = 61;\r\n        if (j === 1)\r\n            chunk[i++] = 61;\r\n    }\r\n    if (parts) {\r\n        if (i)\r\n            parts.push(String.fromCharCode.apply(String, chunk.slice(0, i)));\r\n        return parts.join(\"\");\r\n    }\r\n    return String.fromCharCode.apply(String, chunk.slice(0, i));\r\n};\r\n\r\nvar invalidEncoding = \"invalid encoding\";\r\n\r\n/**\r\n * Decodes a base64 encoded string to a buffer.\r\n * @param {string} string Source string\r\n * @param {Uint8Array} buffer Destination buffer\r\n * @param {number} offset Destination offset\r\n * @returns {number} Number of bytes written\r\n * @throws {Error} If encoding is invalid\r\n */\r\nbase64.decode = function decode(string, buffer, offset) {\r\n    var start = offset;\r\n    var j = 0, // goto index\r\n        t;     // temporary\r\n    for (var i = 0; i < string.length;) {\r\n        var c = string.charCodeAt(i++);\r\n        if (c === 61 && j > 1)\r\n            break;\r\n        if ((c = s64[c]) === undefined)\r\n            throw Error(invalidEncoding);\r\n        switch (j) {\r\n            case 0:\r\n                t = c;\r\n                j = 1;\r\n                break;\r\n            case 1:\r\n                buffer[offset++] = t << 2 | (c & 48) >> 4;\r\n                t = c;\r\n                j = 2;\r\n                break;\r\n            case 2:\r\n                buffer[offset++] = (t & 15) << 4 | (c & 60) >> 2;\r\n                t = c;\r\n                j = 3;\r\n                break;\r\n            case 3:\r\n                buffer[offset++] = (t & 3) << 6 | c;\r\n                j = 0;\r\n                break;\r\n        }\r\n    }\r\n    if (j === 1)\r\n        throw Error(invalidEncoding);\r\n    return offset - start;\r\n};\r\n\r\n/**\r\n * Tests if the specified string appears to be base64 encoded.\r\n * @param {string} string String to test\r\n * @returns {boolean} `true` if probably base64 encoded, otherwise false\r\n */\r\nbase64.test = function test(string) {\r\n    return /^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/.test(string);\r\n};\r\n","\"use strict\";\r\nmodule.exports = EventEmitter;\r\n\r\n/**\r\n * Constructs a new event emitter instance.\r\n * @classdesc A minimal event emitter.\r\n * @memberof util\r\n * @constructor\r\n */\r\nfunction EventEmitter() {\r\n\r\n    /**\r\n     * Registered listeners.\r\n     * @type {Object.<string,*>}\r\n     * @private\r\n     */\r\n    this._listeners = {};\r\n}\r\n\r\n/**\r\n * Registers an event listener.\r\n * @param {string} evt Event name\r\n * @param {function} fn Listener\r\n * @param {*} [ctx] Listener context\r\n * @returns {util.EventEmitter} `this`\r\n */\r\nEventEmitter.prototype.on = function on(evt, fn, ctx) {\r\n    (this._listeners[evt] || (this._listeners[evt] = [])).push({\r\n        fn  : fn,\r\n        ctx : ctx || this\r\n    });\r\n    return this;\r\n};\r\n\r\n/**\r\n * Removes an event listener or any matching listeners if arguments are omitted.\r\n * @param {string} [evt] Event name. Removes all listeners if omitted.\r\n * @param {function} [fn] Listener to remove. Removes all listeners of `evt` if omitted.\r\n * @returns {util.EventEmitter} `this`\r\n */\r\nEventEmitter.prototype.off = function off(evt, fn) {\r\n    if (evt === undefined)\r\n        this._listeners = {};\r\n    else {\r\n        if (fn === undefined)\r\n            this._listeners[evt] = [];\r\n        else {\r\n            var listeners = this._listeners[evt];\r\n            for (var i = 0; i < listeners.length;)\r\n                if (listeners[i].fn === fn)\r\n                    listeners.splice(i, 1);\r\n                else\r\n                    ++i;\r\n        }\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Emits an event by calling its listeners with the specified arguments.\r\n * @param {string} evt Event name\r\n * @param {...*} args Arguments\r\n * @returns {util.EventEmitter} `this`\r\n */\r\nEventEmitter.prototype.emit = function emit(evt) {\r\n    var listeners = this._listeners[evt];\r\n    if (listeners) {\r\n        var args = [],\r\n            i = 1;\r\n        for (; i < arguments.length;)\r\n            args.push(arguments[i++]);\r\n        for (i = 0; i < listeners.length;)\r\n            listeners[i].fn.apply(listeners[i++].ctx, args);\r\n    }\r\n    return this;\r\n};\r\n","\"use strict\";\r\n\r\nmodule.exports = factory(factory);\r\n\r\n/**\r\n * Reads / writes floats / doubles from / to buffers.\r\n * @name util.float\r\n * @namespace\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using little endian byte order.\r\n * @name util.float.writeFloatLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 32 bit float to a buffer using big endian byte order.\r\n * @name util.float.writeFloatBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using little endian byte order.\r\n * @name util.float.readFloatLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 32 bit float from a buffer using big endian byte order.\r\n * @name util.float.readFloatBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using little endian byte order.\r\n * @name util.float.writeDoubleLE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Writes a 64 bit double to a buffer using big endian byte order.\r\n * @name util.float.writeDoubleBE\r\n * @function\r\n * @param {number} val Value to write\r\n * @param {Uint8Array} buf Target buffer\r\n * @param {number} pos Target buffer offset\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using little endian byte order.\r\n * @name util.float.readDoubleLE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n/**\r\n * Reads a 64 bit double from a buffer using big endian byte order.\r\n * @name util.float.readDoubleBE\r\n * @function\r\n * @param {Uint8Array} buf Source buffer\r\n * @param {number} pos Source buffer offset\r\n * @returns {number} Value read\r\n */\r\n\r\n// Factory function for the purpose of node-based testing in modified global environments\r\nfunction factory(exports) {\r\n\r\n    // float: typed array\r\n    if (typeof Float32Array !== \"undefined\") (function() {\r\n\r\n        var f32 = new Float32Array([ -0 ]),\r\n            f8b = new Uint8Array(f32.buffer),\r\n            le  = f8b[3] === 128;\r\n\r\n        function writeFloat_f32_cpy(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n        }\r\n\r\n        function writeFloat_f32_rev(val, buf, pos) {\r\n            f32[0] = val;\r\n            buf[pos    ] = f8b[3];\r\n            buf[pos + 1] = f8b[2];\r\n            buf[pos + 2] = f8b[1];\r\n            buf[pos + 3] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeFloatLE = le ? writeFloat_f32_cpy : writeFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeFloatBE = le ? writeFloat_f32_rev : writeFloat_f32_cpy;\r\n\r\n        function readFloat_f32_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        function readFloat_f32_rev(buf, pos) {\r\n            f8b[3] = buf[pos    ];\r\n            f8b[2] = buf[pos + 1];\r\n            f8b[1] = buf[pos + 2];\r\n            f8b[0] = buf[pos + 3];\r\n            return f32[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readFloatLE = le ? readFloat_f32_cpy : readFloat_f32_rev;\r\n        /* istanbul ignore next */\r\n        exports.readFloatBE = le ? readFloat_f32_rev : readFloat_f32_cpy;\r\n\r\n    // float: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeFloat_ieee754(writeUint, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0)\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos);\r\n            else if (isNaN(val))\r\n                writeUint(2143289344, buf, pos);\r\n            else if (val > 3.4028234663852886e+38) // +-Infinity\r\n                writeUint((sign << 31 | 2139095040) >>> 0, buf, pos);\r\n            else if (val < 1.1754943508222875e-38) // denormal\r\n                writeUint((sign << 31 | Math.round(val / 1.401298464324817e-45)) >>> 0, buf, pos);\r\n            else {\r\n                var exponent = Math.floor(Math.log(val) / Math.LN2),\r\n                    mantissa = Math.round(val * Math.pow(2, -exponent) * 8388608) & 8388607;\r\n                writeUint((sign << 31 | exponent + 127 << 23 | mantissa) >>> 0, buf, pos);\r\n            }\r\n        }\r\n\r\n        exports.writeFloatLE = writeFloat_ieee754.bind(null, writeUintLE);\r\n        exports.writeFloatBE = writeFloat_ieee754.bind(null, writeUintBE);\r\n\r\n        function readFloat_ieee754(readUint, buf, pos) {\r\n            var uint = readUint(buf, pos),\r\n                sign = (uint >> 31) * 2 + 1,\r\n                exponent = uint >>> 23 & 255,\r\n                mantissa = uint & 8388607;\r\n            return exponent === 255\r\n                ? mantissa\r\n                ? NaN\r\n                : sign * Infinity\r\n                : exponent === 0 // denormal\r\n                ? sign * 1.401298464324817e-45 * mantissa\r\n                : sign * Math.pow(2, exponent - 150) * (mantissa + 8388608);\r\n        }\r\n\r\n        exports.readFloatLE = readFloat_ieee754.bind(null, readUintLE);\r\n        exports.readFloatBE = readFloat_ieee754.bind(null, readUintBE);\r\n\r\n    })();\r\n\r\n    // double: typed array\r\n    if (typeof Float64Array !== \"undefined\") (function() {\r\n\r\n        var f64 = new Float64Array([-0]),\r\n            f8b = new Uint8Array(f64.buffer),\r\n            le  = f8b[7] === 128;\r\n\r\n        function writeDouble_f64_cpy(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[0];\r\n            buf[pos + 1] = f8b[1];\r\n            buf[pos + 2] = f8b[2];\r\n            buf[pos + 3] = f8b[3];\r\n            buf[pos + 4] = f8b[4];\r\n            buf[pos + 5] = f8b[5];\r\n            buf[pos + 6] = f8b[6];\r\n            buf[pos + 7] = f8b[7];\r\n        }\r\n\r\n        function writeDouble_f64_rev(val, buf, pos) {\r\n            f64[0] = val;\r\n            buf[pos    ] = f8b[7];\r\n            buf[pos + 1] = f8b[6];\r\n            buf[pos + 2] = f8b[5];\r\n            buf[pos + 3] = f8b[4];\r\n            buf[pos + 4] = f8b[3];\r\n            buf[pos + 5] = f8b[2];\r\n            buf[pos + 6] = f8b[1];\r\n            buf[pos + 7] = f8b[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleLE = le ? writeDouble_f64_cpy : writeDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.writeDoubleBE = le ? writeDouble_f64_rev : writeDouble_f64_cpy;\r\n\r\n        function readDouble_f64_cpy(buf, pos) {\r\n            f8b[0] = buf[pos    ];\r\n            f8b[1] = buf[pos + 1];\r\n            f8b[2] = buf[pos + 2];\r\n            f8b[3] = buf[pos + 3];\r\n            f8b[4] = buf[pos + 4];\r\n            f8b[5] = buf[pos + 5];\r\n            f8b[6] = buf[pos + 6];\r\n            f8b[7] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        function readDouble_f64_rev(buf, pos) {\r\n            f8b[7] = buf[pos    ];\r\n            f8b[6] = buf[pos + 1];\r\n            f8b[5] = buf[pos + 2];\r\n            f8b[4] = buf[pos + 3];\r\n            f8b[3] = buf[pos + 4];\r\n            f8b[2] = buf[pos + 5];\r\n            f8b[1] = buf[pos + 6];\r\n            f8b[0] = buf[pos + 7];\r\n            return f64[0];\r\n        }\r\n\r\n        /* istanbul ignore next */\r\n        exports.readDoubleLE = le ? readDouble_f64_cpy : readDouble_f64_rev;\r\n        /* istanbul ignore next */\r\n        exports.readDoubleBE = le ? readDouble_f64_rev : readDouble_f64_cpy;\r\n\r\n    // double: ieee754\r\n    })(); else (function() {\r\n\r\n        function writeDouble_ieee754(writeUint, off0, off1, val, buf, pos) {\r\n            var sign = val < 0 ? 1 : 0;\r\n            if (sign)\r\n                val = -val;\r\n            if (val === 0) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(1 / val > 0 ? /* positive */ 0 : /* negative 0 */ 2147483648, buf, pos + off1);\r\n            } else if (isNaN(val)) {\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint(2146959360, buf, pos + off1);\r\n            } else if (val > 1.7976931348623157e+308) { // +-Infinity\r\n                writeUint(0, buf, pos + off0);\r\n                writeUint((sign << 31 | 2146435072) >>> 0, buf, pos + off1);\r\n            } else {\r\n                var mantissa;\r\n                if (val < 2.2250738585072014e-308) { // denormal\r\n                    mantissa = val / 5e-324;\r\n                    writeUint(mantissa >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | mantissa / 4294967296) >>> 0, buf, pos + off1);\r\n                } else {\r\n                    var exponent = Math.floor(Math.log(val) / Math.LN2);\r\n                    if (exponent === 1024)\r\n                        exponent = 1023;\r\n                    mantissa = val * Math.pow(2, -exponent);\r\n                    writeUint(mantissa * 4503599627370496 >>> 0, buf, pos + off0);\r\n                    writeUint((sign << 31 | exponent + 1023 << 20 | mantissa * 1048576 & 1048575) >>> 0, buf, pos + off1);\r\n                }\r\n            }\r\n        }\r\n\r\n        exports.writeDoubleLE = writeDouble_ieee754.bind(null, writeUintLE, 0, 4);\r\n        exports.writeDoubleBE = writeDouble_ieee754.bind(null, writeUintBE, 4, 0);\r\n\r\n        function readDouble_ieee754(readUint, off0, off1, buf, pos) {\r\n            var lo = readUint(buf, pos + off0),\r\n                hi = readUint(buf, pos + off1);\r\n            var sign = (hi >> 31) * 2 + 1,\r\n                exponent = hi >>> 20 & 2047,\r\n                mantissa = 4294967296 * (hi & 1048575) + lo;\r\n            return exponent === 2047\r\n                ? mantissa\r\n                ? NaN\r\n                : sign * Infinity\r\n                : exponent === 0 // denormal\r\n                ? sign * 5e-324 * mantissa\r\n                : sign * Math.pow(2, exponent - 1075) * (mantissa + 4503599627370496);\r\n        }\r\n\r\n        exports.readDoubleLE = readDouble_ieee754.bind(null, readUintLE, 0, 4);\r\n        exports.readDoubleBE = readDouble_ieee754.bind(null, readUintBE, 4, 0);\r\n\r\n    })();\r\n\r\n    return exports;\r\n}\r\n\r\n// uint helpers\r\n\r\nfunction writeUintLE(val, buf, pos) {\r\n    buf[pos    ] =  val        & 255;\r\n    buf[pos + 1] =  val >>> 8  & 255;\r\n    buf[pos + 2] =  val >>> 16 & 255;\r\n    buf[pos + 3] =  val >>> 24;\r\n}\r\n\r\nfunction writeUintBE(val, buf, pos) {\r\n    buf[pos    ] =  val >>> 24;\r\n    buf[pos + 1] =  val >>> 16 & 255;\r\n    buf[pos + 2] =  val >>> 8  & 255;\r\n    buf[pos + 3] =  val        & 255;\r\n}\r\n\r\nfunction readUintLE(buf, pos) {\r\n    return (buf[pos    ]\r\n          | buf[pos + 1] << 8\r\n          | buf[pos + 2] << 16\r\n          | buf[pos + 3] << 24) >>> 0;\r\n}\r\n\r\nfunction readUintBE(buf, pos) {\r\n    return (buf[pos    ] << 24\r\n          | buf[pos + 1] << 16\r\n          | buf[pos + 2] << 8\r\n          | buf[pos + 3]) >>> 0;\r\n}\r\n","\"use strict\";\r\nmodule.exports = inquire;\r\n\r\n/**\r\n * Requires a module only if available.\r\n * @memberof util\r\n * @param {string} moduleName Module to require\r\n * @returns {?Object} Required module if available and not empty, otherwise `null`\r\n */\r\nfunction inquire(moduleName) {\r\n    try {\r\n        var mod = eval(\"quire\".replace(/^/,\"re\"))(moduleName); // eslint-disable-line no-eval\r\n        if (mod && (mod.length || Object.keys(mod).length))\r\n            return mod;\r\n    } catch (e) {} // eslint-disable-line no-empty\r\n    return null;\r\n}\r\n","\"use strict\";\r\n\r\n/**\r\n * A minimal UTF8 implementation for number arrays.\r\n * @memberof util\r\n * @namespace\r\n */\r\nvar utf8 = exports;\r\n\r\n/**\r\n * Calculates the UTF8 byte length of a string.\r\n * @param {string} string String\r\n * @returns {number} Byte length\r\n */\r\nutf8.length = function utf8_length(string) {\r\n    var len = 0,\r\n        c = 0;\r\n    for (var i = 0; i < string.length; ++i) {\r\n        c = string.charCodeAt(i);\r\n        if (c < 128)\r\n            len += 1;\r\n        else if (c < 2048)\r\n            len += 2;\r\n        else if ((c & 0xFC00) === 0xD800 && (string.charCodeAt(i + 1) & 0xFC00) === 0xDC00) {\r\n            ++i;\r\n            len += 4;\r\n        } else\r\n            len += 3;\r\n    }\r\n    return len;\r\n};\r\n\r\n/**\r\n * Reads UTF8 bytes as a string.\r\n * @param {Uint8Array} buffer Source buffer\r\n * @param {number} start Source start\r\n * @param {number} end Source end\r\n * @returns {string} String read\r\n */\r\nutf8.read = function utf8_read(buffer, start, end) {\r\n    var len = end - start;\r\n    if (len < 1)\r\n        return \"\";\r\n    var parts = null,\r\n        chunk = [],\r\n        i = 0, // char offset\r\n        t;     // temporary\r\n    while (start < end) {\r\n        t = buffer[start++];\r\n        if (t < 128)\r\n            chunk[i++] = t;\r\n        else if (t > 191 && t < 224)\r\n            chunk[i++] = (t & 31) << 6 | buffer[start++] & 63;\r\n        else if (t > 239 && t < 365) {\r\n            t = ((t & 7) << 18 | (buffer[start++] & 63) << 12 | (buffer[start++] & 63) << 6 | buffer[start++] & 63) - 0x10000;\r\n            chunk[i++] = 0xD800 + (t >> 10);\r\n            chunk[i++] = 0xDC00 + (t & 1023);\r\n        } else\r\n            chunk[i++] = (t & 15) << 12 | (buffer[start++] & 63) << 6 | buffer[start++] & 63;\r\n        if (i > 8191) {\r\n            (parts || (parts = [])).push(String.fromCharCode.apply(String, chunk));\r\n            i = 0;\r\n        }\r\n    }\r\n    if (parts) {\r\n        if (i)\r\n            parts.push(String.fromCharCode.apply(String, chunk.slice(0, i)));\r\n        return parts.join(\"\");\r\n    }\r\n    return String.fromCharCode.apply(String, chunk.slice(0, i));\r\n};\r\n\r\n/**\r\n * Writes a string as UTF8 bytes.\r\n * @param {string} string Source string\r\n * @param {Uint8Array} buffer Destination buffer\r\n * @param {number} offset Destination offset\r\n * @returns {number} Bytes written\r\n */\r\nutf8.write = function utf8_write(string, buffer, offset) {\r\n    var start = offset,\r\n        c1, // character 1\r\n        c2; // character 2\r\n    for (var i = 0; i < string.length; ++i) {\r\n        c1 = string.charCodeAt(i);\r\n        if (c1 < 128) {\r\n            buffer[offset++] = c1;\r\n        } else if (c1 < 2048) {\r\n            buffer[offset++] = c1 >> 6       | 192;\r\n            buffer[offset++] = c1       & 63 | 128;\r\n        } else if ((c1 & 0xFC00) === 0xD800 && ((c2 = string.charCodeAt(i + 1)) & 0xFC00) === 0xDC00) {\r\n            c1 = 0x10000 + ((c1 & 0x03FF) << 10) + (c2 & 0x03FF);\r\n            ++i;\r\n            buffer[offset++] = c1 >> 18      | 240;\r\n            buffer[offset++] = c1 >> 12 & 63 | 128;\r\n            buffer[offset++] = c1 >> 6  & 63 | 128;\r\n            buffer[offset++] = c1       & 63 | 128;\r\n        } else {\r\n            buffer[offset++] = c1 >> 12      | 224;\r\n            buffer[offset++] = c1 >> 6  & 63 | 128;\r\n            buffer[offset++] = c1       & 63 | 128;\r\n        }\r\n    }\r\n    return offset - start;\r\n};\r\n","\"use strict\";\r\nmodule.exports = pool;\r\n\r\n/**\r\n * An allocator as used by {@link util.pool}.\r\n * @typedef PoolAllocator\r\n * @type {function}\r\n * @param {number} size Buffer size\r\n * @returns {Uint8Array} Buffer\r\n */\r\n\r\n/**\r\n * A slicer as used by {@link util.pool}.\r\n * @typedef PoolSlicer\r\n * @type {function}\r\n * @param {number} start Start offset\r\n * @param {number} end End offset\r\n * @returns {Uint8Array} Buffer slice\r\n * @this {Uint8Array}\r\n */\r\n\r\n/**\r\n * A general purpose buffer pool.\r\n * @memberof util\r\n * @function\r\n * @param {PoolAllocator} alloc Allocator\r\n * @param {PoolSlicer} slice Slicer\r\n * @param {number} [size=8192] Slab size\r\n * @returns {PoolAllocator} Pooled allocator\r\n */\r\nfunction pool(alloc, slice, size) {\r\n    var SIZE   = size || 8192;\r\n    var MAX    = SIZE >>> 1;\r\n    var slab   = null;\r\n    var offset = SIZE;\r\n    return function pool_alloc(size) {\r\n        if (size < 1 || size > MAX)\r\n            return alloc(size);\r\n        if (offset + size > SIZE) {\r\n            slab = alloc(SIZE);\r\n            offset = 0;\r\n        }\r\n        var buf = slice.call(slab, offset, offset += size);\r\n        if (offset & 7) // align to 32 bit\r\n            offset = (offset | 7) + 1;\r\n        return buf;\r\n    };\r\n}\r\n","\"use strict\";\r\nmodule.exports = LongBits;\r\n\r\nvar util = require(\"../util/minimal\");\r\n\r\n/**\r\n * Constructs new long bits.\r\n * @classdesc Helper class for working with the low and high bits of a 64 bit value.\r\n * @memberof util\r\n * @constructor\r\n * @param {number} lo Low 32 bits, unsigned\r\n * @param {number} hi High 32 bits, unsigned\r\n */\r\nfunction LongBits(lo, hi) {\r\n\r\n    // note that the casts below are theoretically unnecessary as of today, but older statically\r\n    // generated converter code might still call the ctor with signed 32bits. kept for compat.\r\n\r\n    /**\r\n     * Low bits.\r\n     * @type {number}\r\n     */\r\n    this.lo = lo >>> 0;\r\n\r\n    /**\r\n     * High bits.\r\n     * @type {number}\r\n     */\r\n    this.hi = hi >>> 0;\r\n}\r\n\r\n/**\r\n * Zero bits.\r\n * @memberof util.LongBits\r\n * @type {util.LongBits}\r\n */\r\nvar zero = LongBits.zero = new LongBits(0, 0);\r\n\r\nzero.toNumber = function() { return 0; };\r\nzero.zzEncode = zero.zzDecode = function() { return this; };\r\nzero.length = function() { return 1; };\r\n\r\n/**\r\n * Zero hash.\r\n * @memberof util.LongBits\r\n * @type {string}\r\n */\r\nvar zeroHash = LongBits.zeroHash = \"\\0\\0\\0\\0\\0\\0\\0\\0\";\r\n\r\n/**\r\n * Constructs new long bits from the specified number.\r\n * @param {number} value Value\r\n * @returns {util.LongBits} Instance\r\n */\r\nLongBits.fromNumber = function fromNumber(value) {\r\n    if (value === 0)\r\n        return zero;\r\n    var sign = value < 0;\r\n    if (sign)\r\n        value = -value;\r\n    var lo = value >>> 0,\r\n        hi = (value - lo) / 4294967296 >>> 0;\r\n    if (sign) {\r\n        hi = ~hi >>> 0;\r\n        lo = ~lo >>> 0;\r\n        if (++lo > 4294967295) {\r\n            lo = 0;\r\n            if (++hi > 4294967295)\r\n                hi = 0;\r\n        }\r\n    }\r\n    return new LongBits(lo, hi);\r\n};\r\n\r\n/**\r\n * Constructs new long bits from a number, long or string.\r\n * @param {Long|number|string} value Value\r\n * @returns {util.LongBits} Instance\r\n */\r\nLongBits.from = function from(value) {\r\n    if (typeof value === \"number\")\r\n        return LongBits.fromNumber(value);\r\n    if (util.isString(value)) {\r\n        /* istanbul ignore else */\r\n        if (util.Long)\r\n            value = util.Long.fromString(value);\r\n        else\r\n            return LongBits.fromNumber(parseInt(value, 10));\r\n    }\r\n    return value.low || value.high ? new LongBits(value.low >>> 0, value.high >>> 0) : zero;\r\n};\r\n\r\n/**\r\n * Converts this long bits to a possibly unsafe JavaScript number.\r\n * @param {boolean} [unsigned=false] Whether unsigned or not\r\n * @returns {number} Possibly unsafe number\r\n */\r\nLongBits.prototype.toNumber = function toNumber(unsigned) {\r\n    if (!unsigned && this.hi >>> 31) {\r\n        var lo = ~this.lo + 1 >>> 0,\r\n            hi = ~this.hi     >>> 0;\r\n        if (!lo)\r\n            hi = hi + 1 >>> 0;\r\n        return -(lo + hi * 4294967296);\r\n    }\r\n    return this.lo + this.hi * 4294967296;\r\n};\r\n\r\n/**\r\n * Converts this long bits to a long.\r\n * @param {boolean} [unsigned=false] Whether unsigned or not\r\n * @returns {Long} Long\r\n */\r\nLongBits.prototype.toLong = function toLong(unsigned) {\r\n    return util.Long\r\n        ? new util.Long(this.lo | 0, this.hi | 0, Boolean(unsigned))\r\n        /* istanbul ignore next */\r\n        : { low: this.lo | 0, high: this.hi | 0, unsigned: Boolean(unsigned) };\r\n};\r\n\r\nvar charCodeAt = String.prototype.charCodeAt;\r\n\r\n/**\r\n * Constructs new long bits from the specified 8 characters long hash.\r\n * @param {string} hash Hash\r\n * @returns {util.LongBits} Bits\r\n */\r\nLongBits.fromHash = function fromHash(hash) {\r\n    if (hash === zeroHash)\r\n        return zero;\r\n    return new LongBits(\r\n        ( charCodeAt.call(hash, 0)\r\n        | charCodeAt.call(hash, 1) << 8\r\n        | charCodeAt.call(hash, 2) << 16\r\n        | charCodeAt.call(hash, 3) << 24) >>> 0\r\n    ,\r\n        ( charCodeAt.call(hash, 4)\r\n        | charCodeAt.call(hash, 5) << 8\r\n        | charCodeAt.call(hash, 6) << 16\r\n        | charCodeAt.call(hash, 7) << 24) >>> 0\r\n    );\r\n};\r\n\r\n/**\r\n * Converts this long bits to a 8 characters long hash.\r\n * @returns {string} Hash\r\n */\r\nLongBits.prototype.toHash = function toHash() {\r\n    return String.fromCharCode(\r\n        this.lo        & 255,\r\n        this.lo >>> 8  & 255,\r\n        this.lo >>> 16 & 255,\r\n        this.lo >>> 24      ,\r\n        this.hi        & 255,\r\n        this.hi >>> 8  & 255,\r\n        this.hi >>> 16 & 255,\r\n        this.hi >>> 24\r\n    );\r\n};\r\n\r\n/**\r\n * Zig-zag encodes this long bits.\r\n * @returns {util.LongBits} `this`\r\n */\r\nLongBits.prototype.zzEncode = function zzEncode() {\r\n    var mask =   this.hi >> 31;\r\n    this.hi  = ((this.hi << 1 | this.lo >>> 31) ^ mask) >>> 0;\r\n    this.lo  = ( this.lo << 1                   ^ mask) >>> 0;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Zig-zag decodes this long bits.\r\n * @returns {util.LongBits} `this`\r\n */\r\nLongBits.prototype.zzDecode = function zzDecode() {\r\n    var mask = -(this.lo & 1);\r\n    this.lo  = ((this.lo >>> 1 | this.hi << 31) ^ mask) >>> 0;\r\n    this.hi  = ( this.hi >>> 1                  ^ mask) >>> 0;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Calculates the length of this longbits when encoded as a varint.\r\n * @returns {number} Length\r\n */\r\nLongBits.prototype.length = function length() {\r\n    var part0 =  this.lo,\r\n        part1 = (this.lo >>> 28 | this.hi << 4) >>> 0,\r\n        part2 =  this.hi >>> 24;\r\n    return part2 === 0\r\n         ? part1 === 0\r\n           ? part0 < 16384\r\n             ? part0 < 128 ? 1 : 2\r\n             : part0 < 2097152 ? 3 : 4\r\n           : part1 < 16384\r\n             ? part1 < 128 ? 5 : 6\r\n             : part1 < 2097152 ? 7 : 8\r\n         : part2 < 128 ? 9 : 10;\r\n};\r\n","\"use strict\";\r\nvar util = exports;\r\n\r\n// used to return a Promise where callback is omitted\r\nutil.asPromise = require(\"@protobufjs/aspromise\");\r\n\r\n// converts to / from base64 encoded strings\r\nutil.base64 = require(\"@protobufjs/base64\");\r\n\r\n// base class of rpc.Service\r\nutil.EventEmitter = require(\"@protobufjs/eventemitter\");\r\n\r\n// float handling accross browsers\r\nutil.float = require(\"@protobufjs/float\");\r\n\r\n// requires modules optionally and hides the call from bundlers\r\nutil.inquire = require(\"@protobufjs/inquire\");\r\n\r\n// converts to / from utf8 encoded strings\r\nutil.utf8 = require(\"@protobufjs/utf8\");\r\n\r\n// provides a node-like buffer pool in the browser\r\nutil.pool = require(\"@protobufjs/pool\");\r\n\r\n// utility to work with the low and high bits of a 64 bit value\r\nutil.LongBits = require(\"./longbits\");\r\n\r\n/**\r\n * An immuable empty array.\r\n * @memberof util\r\n * @type {Array.<*>}\r\n * @const\r\n */\r\nutil.emptyArray = Object.freeze ? Object.freeze([]) : /* istanbul ignore next */ []; // used on prototypes\r\n\r\n/**\r\n * An immutable empty object.\r\n * @type {Object}\r\n * @const\r\n */\r\nutil.emptyObject = Object.freeze ? Object.freeze({}) : /* istanbul ignore next */ {}; // used on prototypes\r\n\r\n/**\r\n * Whether running within node or not.\r\n * @memberof util\r\n * @type {boolean}\r\n * @const\r\n */\r\nutil.isNode = Boolean(global.process && global.process.versions && global.process.versions.node);\r\n\r\n/**\r\n * Tests if the specified value is an integer.\r\n * @function\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is an integer\r\n */\r\nutil.isInteger = Number.isInteger || /* istanbul ignore next */ function isInteger(value) {\r\n    return typeof value === \"number\" && isFinite(value) && Math.floor(value) === value;\r\n};\r\n\r\n/**\r\n * Tests if the specified value is a string.\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is a string\r\n */\r\nutil.isString = function isString(value) {\r\n    return typeof value === \"string\" || value instanceof String;\r\n};\r\n\r\n/**\r\n * Tests if the specified value is a non-null object.\r\n * @param {*} value Value to test\r\n * @returns {boolean} `true` if the value is a non-null object\r\n */\r\nutil.isObject = function isObject(value) {\r\n    return value && typeof value === \"object\";\r\n};\r\n\r\n/**\r\n * Checks if a property on a message is considered to be present.\r\n * This is an alias of {@link util.isSet}.\r\n * @function\r\n * @param {Object} obj Plain object or message instance\r\n * @param {string} prop Property name\r\n * @returns {boolean} `true` if considered to be present, otherwise `false`\r\n */\r\nutil.isset =\r\n\r\n/**\r\n * Checks if a property on a message is considered to be present.\r\n * @param {Object} obj Plain object or message instance\r\n * @param {string} prop Property name\r\n * @returns {boolean} `true` if considered to be present, otherwise `false`\r\n */\r\nutil.isSet = function isSet(obj, prop) {\r\n    var value = obj[prop];\r\n    if (value != null && obj.hasOwnProperty(prop)) // eslint-disable-line eqeqeq, no-prototype-builtins\r\n        return typeof value !== \"object\" || (Array.isArray(value) ? value.length : Object.keys(value).length) > 0;\r\n    return false;\r\n};\r\n\r\n/**\r\n * Any compatible Buffer instance.\r\n * This is a minimal stand-alone definition of a Buffer instance. The actual type is that exported by node's typings.\r\n * @interface Buffer\r\n * @extends Uint8Array\r\n */\r\n\r\n/**\r\n * Node's Buffer class if available.\r\n * @type {Constructor<Buffer>}\r\n */\r\nutil.Buffer = (function() {\r\n    try {\r\n        var Buffer = util.inquire(\"buffer\").Buffer;\r\n        // refuse to use non-node buffers if not explicitly assigned (perf reasons):\r\n        return Buffer.prototype.utf8Write ? Buffer : /* istanbul ignore next */ null;\r\n    } catch (e) {\r\n        /* istanbul ignore next */\r\n        return null;\r\n    }\r\n})();\r\n\r\n// Internal alias of or polyfull for Buffer.from.\r\nutil._Buffer_from = null;\r\n\r\n// Internal alias of or polyfill for Buffer.allocUnsafe.\r\nutil._Buffer_allocUnsafe = null;\r\n\r\n/**\r\n * Creates a new buffer of whatever type supported by the environment.\r\n * @param {number|number[]} [sizeOrArray=0] Buffer size or number array\r\n * @returns {Uint8Array|Buffer} Buffer\r\n */\r\nutil.newBuffer = function newBuffer(sizeOrArray) {\r\n    /* istanbul ignore next */\r\n    return typeof sizeOrArray === \"number\"\r\n        ? util.Buffer\r\n            ? util._Buffer_allocUnsafe(sizeOrArray)\r\n            : new util.Array(sizeOrArray)\r\n        : util.Buffer\r\n            ? util._Buffer_from(sizeOrArray)\r\n            : typeof Uint8Array === \"undefined\"\r\n                ? sizeOrArray\r\n                : new Uint8Array(sizeOrArray);\r\n};\r\n\r\n/**\r\n * Array implementation used in the browser. `Uint8Array` if supported, otherwise `Array`.\r\n * @type {Constructor<Uint8Array>}\r\n */\r\nutil.Array = typeof Uint8Array !== \"undefined\" ? Uint8Array /* istanbul ignore next */ : Array;\r\n\r\n/**\r\n * Any compatible Long instance.\r\n * This is a minimal stand-alone definition of a Long instance. The actual type is that exported by long.js.\r\n * @interface Long\r\n * @property {number} low Low bits\r\n * @property {number} high High bits\r\n * @property {boolean} unsigned Whether unsigned or not\r\n */\r\n\r\n/**\r\n * Long.js's Long class if available.\r\n * @type {Constructor<Long>}\r\n */\r\nutil.Long = /* istanbul ignore next */ global.dcodeIO && /* istanbul ignore next */ global.dcodeIO.Long || util.inquire(\"long\");\r\n\r\n/**\r\n * Regular expression used to verify 2 bit (`bool`) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key2Re = /^true|false|0|1$/;\r\n\r\n/**\r\n * Regular expression used to verify 32 bit (`int32` etc.) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key32Re = /^-?(?:0|[1-9][0-9]*)$/;\r\n\r\n/**\r\n * Regular expression used to verify 64 bit (`int64` etc.) map keys.\r\n * @type {RegExp}\r\n * @const\r\n */\r\nutil.key64Re = /^(?:[\\\\x00-\\\\xff]{8}|-?(?:0|[1-9][0-9]*))$/;\r\n\r\n/**\r\n * Converts a number or long to an 8 characters long hash string.\r\n * @param {Long|number} value Value to convert\r\n * @returns {string} Hash\r\n */\r\nutil.longToHash = function longToHash(value) {\r\n    return value\r\n        ? util.LongBits.from(value).toHash()\r\n        : util.LongBits.zeroHash;\r\n};\r\n\r\n/**\r\n * Converts an 8 characters long hash string to a long or number.\r\n * @param {string} hash Hash\r\n * @param {boolean} [unsigned=false] Whether unsigned or not\r\n * @returns {Long|number} Original value\r\n */\r\nutil.longFromHash = function longFromHash(hash, unsigned) {\r\n    var bits = util.LongBits.fromHash(hash);\r\n    if (util.Long)\r\n        return util.Long.fromBits(bits.lo, bits.hi, unsigned);\r\n    return bits.toNumber(Boolean(unsigned));\r\n};\r\n\r\n/**\r\n * Merges the properties of the source object into the destination object.\r\n * @memberof util\r\n * @param {Object.<string,*>} dst Destination object\r\n * @param {Object.<string,*>} src Source object\r\n * @param {boolean} [ifNotSet=false] Merges only if the key is not already set\r\n * @returns {Object.<string,*>} Destination object\r\n */\r\nfunction merge(dst, src, ifNotSet) { // used by converters\r\n    for (var keys = Object.keys(src), i = 0; i < keys.length; ++i)\r\n        if (dst[keys[i]] === undefined || !ifNotSet)\r\n            dst[keys[i]] = src[keys[i]];\r\n    return dst;\r\n}\r\n\r\nutil.merge = merge;\r\n\r\n/**\r\n * Converts the first character of a string to lower case.\r\n * @param {string} str String to convert\r\n * @returns {string} Converted string\r\n */\r\nutil.lcFirst = function lcFirst(str) {\r\n    return str.charAt(0).toLowerCase() + str.substring(1);\r\n};\r\n\r\n/**\r\n * Creates a custom error constructor.\r\n * @memberof util\r\n * @param {string} name Error name\r\n * @returns {Constructor<Error>} Custom error constructor\r\n */\r\nfunction newError(name) {\r\n\r\n    function CustomError(message, properties) {\r\n\r\n        if (!(this instanceof CustomError))\r\n            return new CustomError(message, properties);\r\n\r\n        // Error.call(this, message);\r\n        // ^ just returns a new error instance because the ctor can be called as a function\r\n\r\n        Object.defineProperty(this, \"message\", { get: function() { return message; } });\r\n\r\n        /* istanbul ignore next */\r\n        if (Error.captureStackTrace) // node\r\n            Error.captureStackTrace(this, CustomError);\r\n        else\r\n            Object.defineProperty(this, \"stack\", { value: (new Error()).stack || \"\" });\r\n\r\n        if (properties)\r\n            merge(this, properties);\r\n    }\r\n\r\n    (CustomError.prototype = Object.create(Error.prototype)).constructor = CustomError;\r\n\r\n    Object.defineProperty(CustomError.prototype, \"name\", { get: function() { return name; } });\r\n\r\n    CustomError.prototype.toString = function toString() {\r\n        return this.name + \": \" + this.message;\r\n    };\r\n\r\n    return CustomError;\r\n}\r\n\r\nutil.newError = newError;\r\n\r\n/**\r\n * Constructs a new protocol error.\r\n * @classdesc Error subclass indicating a protocol specifc error.\r\n * @memberof util\r\n * @extends Error\r\n * @template T extends Message<T>\r\n * @constructor\r\n * @param {string} message Error message\r\n * @param {Object.<string,*>} [properties] Additional properties\r\n * @example\r\n * try {\r\n *     MyMessage.decode(someBuffer); // throws if required fields are missing\r\n * } catch (e) {\r\n *     if (e instanceof ProtocolError && e.instance)\r\n *         console.log(\"decoded so far: \" + JSON.stringify(e.instance));\r\n * }\r\n */\r\nutil.ProtocolError = newError(\"ProtocolError\");\r\n\r\n/**\r\n * So far decoded message instance.\r\n * @name util.ProtocolError#instance\r\n * @type {Message<T>}\r\n */\r\n\r\n/**\r\n * A OneOf getter as returned by {@link util.oneOfGetter}.\r\n * @typedef OneOfGetter\r\n * @type {function}\r\n * @returns {string|undefined} Set field name, if any\r\n */\r\n\r\n/**\r\n * Builds a getter for a oneof's present field name.\r\n * @param {string[]} fieldNames Field names\r\n * @returns {OneOfGetter} Unbound getter\r\n */\r\nutil.oneOfGetter = function getOneOf(fieldNames) {\r\n    var fieldMap = {};\r\n    for (var i = 0; i < fieldNames.length; ++i)\r\n        fieldMap[fieldNames[i]] = 1;\r\n\r\n    /**\r\n     * @returns {string|undefined} Set field name, if any\r\n     * @this Object\r\n     * @ignore\r\n     */\r\n    return function() { // eslint-disable-line consistent-return\r\n        for (var keys = Object.keys(this), i = keys.length - 1; i > -1; --i)\r\n            if (fieldMap[keys[i]] === 1 && this[keys[i]] !== undefined && this[keys[i]] !== null)\r\n                return keys[i];\r\n    };\r\n};\r\n\r\n/**\r\n * A OneOf setter as returned by {@link util.oneOfSetter}.\r\n * @typedef OneOfSetter\r\n * @type {function}\r\n * @param {string|undefined} value Field name\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * Builds a setter for a oneof's present field name.\r\n * @param {string[]} fieldNames Field names\r\n * @returns {OneOfSetter} Unbound setter\r\n */\r\nutil.oneOfSetter = function setOneOf(fieldNames) {\r\n\r\n    /**\r\n     * @param {string} name Field name\r\n     * @returns {undefined}\r\n     * @this Object\r\n     * @ignore\r\n     */\r\n    return function(name) {\r\n        for (var i = 0; i < fieldNames.length; ++i)\r\n            if (fieldNames[i] !== name)\r\n                delete this[fieldNames[i]];\r\n    };\r\n};\r\n\r\n/**\r\n * Default conversion options used for {@link Message#toJSON} implementations.\r\n *\r\n * These options are close to proto3's JSON mapping with the exception that internal types like Any are handled just like messages. More precisely:\r\n *\r\n * - Longs become strings\r\n * - Enums become string keys\r\n * - Bytes become base64 encoded strings\r\n * - (Sub-)Messages become plain objects\r\n * - Maps become plain objects with all string keys\r\n * - Repeated fields become arrays\r\n * - NaN and Infinity for float and double fields become strings\r\n *\r\n * @type {IConversionOptions}\r\n * @see https://developers.google.com/protocol-buffers/docs/proto3?hl=en#json\r\n */\r\nutil.toJSONOptions = {\r\n    longs: String,\r\n    enums: String,\r\n    bytes: String,\r\n    json: true\r\n};\r\n\r\nutil._configure = function() {\r\n    var Buffer = util.Buffer;\r\n    /* istanbul ignore if */\r\n    if (!Buffer) {\r\n        util._Buffer_from = util._Buffer_allocUnsafe = null;\r\n        return;\r\n    }\r\n    // because node 4.x buffers are incompatible & immutable\r\n    // see: https://github.com/dcodeIO/protobuf.js/pull/665\r\n    util._Buffer_from = Buffer.from !== Uint8Array.from && Buffer.from ||\r\n        /* istanbul ignore next */\r\n        function Buffer_from(value, encoding) {\r\n            return new Buffer(value, encoding);\r\n        };\r\n    util._Buffer_allocUnsafe = Buffer.allocUnsafe ||\r\n        /* istanbul ignore next */\r\n        function Buffer_allocUnsafe(size) {\r\n            return new Buffer(size);\r\n        };\r\n};\r\n","\"use strict\";\r\nmodule.exports = Writer;\r\n\r\nvar util      = require(\"./util/minimal\");\r\n\r\nvar BufferWriter; // cyclic\r\n\r\nvar LongBits  = util.LongBits,\r\n    base64    = util.base64,\r\n    utf8      = util.utf8;\r\n\r\n/**\r\n * Constructs a new writer operation instance.\r\n * @classdesc Scheduled writer operation.\r\n * @constructor\r\n * @param {function(*, Uint8Array, number)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {*} val Value to write\r\n * @ignore\r\n */\r\nfunction Op(fn, len, val) {\r\n\r\n    /**\r\n     * Function to call.\r\n     * @type {function(Uint8Array, number, *)}\r\n     */\r\n    this.fn = fn;\r\n\r\n    /**\r\n     * Value byte length.\r\n     * @type {number}\r\n     */\r\n    this.len = len;\r\n\r\n    /**\r\n     * Next operation.\r\n     * @type {Writer.Op|undefined}\r\n     */\r\n    this.next = undefined;\r\n\r\n    /**\r\n     * Value to write.\r\n     * @type {*}\r\n     */\r\n    this.val = val; // type varies\r\n}\r\n\r\n/* istanbul ignore next */\r\nfunction noop() {} // eslint-disable-line no-empty-function\r\n\r\n/**\r\n * Constructs a new writer state instance.\r\n * @classdesc Copied writer state.\r\n * @memberof Writer\r\n * @constructor\r\n * @param {Writer} writer Writer to copy state from\r\n * @ignore\r\n */\r\nfunction State(writer) {\r\n\r\n    /**\r\n     * Current head.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.head = writer.head;\r\n\r\n    /**\r\n     * Current tail.\r\n     * @type {Writer.Op}\r\n     */\r\n    this.tail = writer.tail;\r\n\r\n    /**\r\n     * Current buffer length.\r\n     * @type {number}\r\n     */\r\n    this.len = writer.len;\r\n\r\n    /**\r\n     * Next state.\r\n     * @type {State|null}\r\n     */\r\n    this.next = writer.states;\r\n}\r\n\r\n/**\r\n * Constructs a new writer instance.\r\n * @classdesc Wire format writer using `Uint8Array` if available, otherwise `Array`.\r\n * @constructor\r\n */\r\nfunction Writer() {\r\n\r\n    /**\r\n     * Current length.\r\n     * @type {number}\r\n     */\r\n    this.len = 0;\r\n\r\n    /**\r\n     * Operations head.\r\n     * @type {Object}\r\n     */\r\n    this.head = new Op(noop, 0, 0);\r\n\r\n    /**\r\n     * Operations tail\r\n     * @type {Object}\r\n     */\r\n    this.tail = this.head;\r\n\r\n    /**\r\n     * Linked forked states.\r\n     * @type {Object|null}\r\n     */\r\n    this.states = null;\r\n\r\n    // When a value is written, the writer calculates its byte length and puts it into a linked\r\n    // list of operations to perform when finish() is called. This both allows us to allocate\r\n    // buffers of the exact required size and reduces the amount of work we have to do compared\r\n    // to first calculating over objects and then encoding over objects. In our case, the encoding\r\n    // part is just a linked list walk calling operations with already prepared values.\r\n}\r\n\r\n/**\r\n * Creates a new writer.\r\n * @function\r\n * @returns {BufferWriter|Writer} A {@link BufferWriter} when Buffers are supported, otherwise a {@link Writer}\r\n */\r\nWriter.create = util.Buffer\r\n    ? function create_buffer_setup() {\r\n        return (Writer.create = function create_buffer() {\r\n            return new BufferWriter();\r\n        })();\r\n    }\r\n    /* istanbul ignore next */\r\n    : function create_array() {\r\n        return new Writer();\r\n    };\r\n\r\n/**\r\n * Allocates a buffer of the specified size.\r\n * @param {number} size Buffer size\r\n * @returns {Uint8Array} Buffer\r\n */\r\nWriter.alloc = function alloc(size) {\r\n    return new util.Array(size);\r\n};\r\n\r\n// Use Uint8Array buffer pool in the browser, just like node does with buffers\r\n/* istanbul ignore else */\r\nif (util.Array !== Array)\r\n    Writer.alloc = util.pool(Writer.alloc, util.Array.prototype.subarray);\r\n\r\n/**\r\n * Pushes a new operation to the queue.\r\n * @param {function(Uint8Array, number, *)} fn Function to call\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @returns {Writer} `this`\r\n * @private\r\n */\r\nWriter.prototype._push = function push(fn, len, val) {\r\n    this.tail = this.tail.next = new Op(fn, len, val);\r\n    this.len += len;\r\n    return this;\r\n};\r\n\r\nfunction writeByte(val, buf, pos) {\r\n    buf[pos] = val & 255;\r\n}\r\n\r\nfunction writeVarint32(val, buf, pos) {\r\n    while (val > 127) {\r\n        buf[pos++] = val & 127 | 128;\r\n        val >>>= 7;\r\n    }\r\n    buf[pos] = val;\r\n}\r\n\r\n/**\r\n * Constructs a new varint writer operation instance.\r\n * @classdesc Scheduled varint writer operation.\r\n * @extends Op\r\n * @constructor\r\n * @param {number} len Value byte length\r\n * @param {number} val Value to write\r\n * @ignore\r\n */\r\nfunction VarintOp(len, val) {\r\n    this.len = len;\r\n    this.next = undefined;\r\n    this.val = val;\r\n}\r\n\r\nVarintOp.prototype = Object.create(Op.prototype);\r\nVarintOp.prototype.fn = writeVarint32;\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as a varint.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.uint32 = function write_uint32(value) {\r\n    // here, the call to this.push has been inlined and a varint specific Op subclass is used.\r\n    // uint32 is by far the most frequently used operation and benefits significantly from this.\r\n    this.len += (this.tail = this.tail.next = new VarintOp(\r\n        (value = value >>> 0)\r\n                < 128       ? 1\r\n        : value < 16384     ? 2\r\n        : value < 2097152   ? 3\r\n        : value < 268435456 ? 4\r\n        :                     5,\r\n    value)).len;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as a varint.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.int32 = function write_int32(value) {\r\n    return value < 0\r\n        ? this._push(writeVarint64, 10, LongBits.fromNumber(value)) // 10 bytes per spec\r\n        : this.uint32(value);\r\n};\r\n\r\n/**\r\n * Writes a 32 bit value as a varint, zig-zag encoded.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sint32 = function write_sint32(value) {\r\n    return this.uint32((value << 1 ^ value >> 31) >>> 0);\r\n};\r\n\r\nfunction writeVarint64(val, buf, pos) {\r\n    while (val.hi) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = (val.lo >>> 7 | val.hi << 25) >>> 0;\r\n        val.hi >>>= 7;\r\n    }\r\n    while (val.lo > 127) {\r\n        buf[pos++] = val.lo & 127 | 128;\r\n        val.lo = val.lo >>> 7;\r\n    }\r\n    buf[pos++] = val.lo;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as a varint.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.uint64 = function write_uint64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.int64 = Writer.prototype.uint64;\r\n\r\n/**\r\n * Writes a signed 64 bit value as a varint, zig-zag encoded.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sint64 = function write_sint64(value) {\r\n    var bits = LongBits.from(value).zzEncode();\r\n    return this._push(writeVarint64, bits.length(), bits);\r\n};\r\n\r\n/**\r\n * Writes a boolish value as a varint.\r\n * @param {boolean} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.bool = function write_bool(value) {\r\n    return this._push(writeByte, 1, value ? 1 : 0);\r\n};\r\n\r\nfunction writeFixed32(val, buf, pos) {\r\n    buf[pos    ] =  val         & 255;\r\n    buf[pos + 1] =  val >>> 8   & 255;\r\n    buf[pos + 2] =  val >>> 16  & 255;\r\n    buf[pos + 3] =  val >>> 24;\r\n}\r\n\r\n/**\r\n * Writes an unsigned 32 bit value as fixed 32 bits.\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.fixed32 = function write_fixed32(value) {\r\n    return this._push(writeFixed32, 4, value >>> 0);\r\n};\r\n\r\n/**\r\n * Writes a signed 32 bit value as fixed 32 bits.\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.sfixed32 = Writer.prototype.fixed32;\r\n\r\n/**\r\n * Writes an unsigned 64 bit value as fixed 64 bits.\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.fixed64 = function write_fixed64(value) {\r\n    var bits = LongBits.from(value);\r\n    return this._push(writeFixed32, 4, bits.lo)._push(writeFixed32, 4, bits.hi);\r\n};\r\n\r\n/**\r\n * Writes a signed 64 bit value as fixed 64 bits.\r\n * @function\r\n * @param {Long|number|string} value Value to write\r\n * @returns {Writer} `this`\r\n * @throws {TypeError} If `value` is a string and no long library is present.\r\n */\r\nWriter.prototype.sfixed64 = Writer.prototype.fixed64;\r\n\r\n/**\r\n * Writes a float (32 bit).\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.float = function write_float(value) {\r\n    return this._push(util.float.writeFloatLE, 4, value);\r\n};\r\n\r\n/**\r\n * Writes a double (64 bit float).\r\n * @function\r\n * @param {number} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.double = function write_double(value) {\r\n    return this._push(util.float.writeDoubleLE, 8, value);\r\n};\r\n\r\nvar writeBytes = util.Array.prototype.set\r\n    ? function writeBytes_set(val, buf, pos) {\r\n        buf.set(val, pos); // also works for plain array values\r\n    }\r\n    /* istanbul ignore next */\r\n    : function writeBytes_for(val, buf, pos) {\r\n        for (var i = 0; i < val.length; ++i)\r\n            buf[pos + i] = val[i];\r\n    };\r\n\r\n/**\r\n * Writes a sequence of bytes.\r\n * @param {Uint8Array|string} value Buffer or base64 encoded string to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.bytes = function write_bytes(value) {\r\n    var len = value.length >>> 0;\r\n    if (!len)\r\n        return this._push(writeByte, 1, 0);\r\n    if (util.isString(value)) {\r\n        var buf = Writer.alloc(len = base64.length(value));\r\n        base64.decode(value, buf, 0);\r\n        value = buf;\r\n    }\r\n    return this.uint32(len)._push(writeBytes, len, value);\r\n};\r\n\r\n/**\r\n * Writes a string.\r\n * @param {string} value Value to write\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.string = function write_string(value) {\r\n    var len = utf8.length(value);\r\n    return len\r\n        ? this.uint32(len)._push(utf8.write, len, value)\r\n        : this._push(writeByte, 1, 0);\r\n};\r\n\r\n/**\r\n * Forks this writer's state by pushing it to a stack.\r\n * Calling {@link Writer#reset|reset} or {@link Writer#ldelim|ldelim} resets the writer to the previous state.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.fork = function fork() {\r\n    this.states = new State(this);\r\n    this.head = this.tail = new Op(noop, 0, 0);\r\n    this.len = 0;\r\n    return this;\r\n};\r\n\r\n/**\r\n * Resets this instance to the last state.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.reset = function reset() {\r\n    if (this.states) {\r\n        this.head   = this.states.head;\r\n        this.tail   = this.states.tail;\r\n        this.len    = this.states.len;\r\n        this.states = this.states.next;\r\n    } else {\r\n        this.head = this.tail = new Op(noop, 0, 0);\r\n        this.len  = 0;\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Resets to the last state and appends the fork state's current write length as a varint followed by its operations.\r\n * @returns {Writer} `this`\r\n */\r\nWriter.prototype.ldelim = function ldelim() {\r\n    var head = this.head,\r\n        tail = this.tail,\r\n        len  = this.len;\r\n    this.reset().uint32(len);\r\n    if (len) {\r\n        this.tail.next = head.next; // skip noop\r\n        this.tail = tail;\r\n        this.len += len;\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Finishes the write operation.\r\n * @returns {Uint8Array} Finished buffer\r\n */\r\nWriter.prototype.finish = function finish() {\r\n    var head = this.head.next, // skip noop\r\n        buf  = this.constructor.alloc(this.len),\r\n        pos  = 0;\r\n    while (head) {\r\n        head.fn(head.val, buf, pos);\r\n        pos += head.len;\r\n        head = head.next;\r\n    }\r\n    // this.head = this.tail = null;\r\n    return buf;\r\n};\r\n\r\nWriter._configure = function(BufferWriter_) {\r\n    BufferWriter = BufferWriter_;\r\n};\r\n","\"use strict\";\r\nmodule.exports = BufferWriter;\r\n\r\n// extends Writer\r\nvar Writer = require(\"./writer\");\r\n(BufferWriter.prototype = Object.create(Writer.prototype)).constructor = BufferWriter;\r\n\r\nvar util = require(\"./util/minimal\");\r\n\r\nvar Buffer = util.Buffer;\r\n\r\n/**\r\n * Constructs a new buffer writer instance.\r\n * @classdesc Wire format writer using node buffers.\r\n * @extends Writer\r\n * @constructor\r\n */\r\nfunction BufferWriter() {\r\n    Writer.call(this);\r\n}\r\n\r\n/**\r\n * Allocates a buffer of the specified size.\r\n * @param {number} size Buffer size\r\n * @returns {Buffer} Buffer\r\n */\r\nBufferWriter.alloc = function alloc_buffer(size) {\r\n    return (BufferWriter.alloc = util._Buffer_allocUnsafe)(size);\r\n};\r\n\r\nvar writeBytesBuffer = Buffer && Buffer.prototype instanceof Uint8Array && Buffer.prototype.set.name === \"set\"\r\n    ? function writeBytesBuffer_set(val, buf, pos) {\r\n        buf.set(val, pos); // faster than copy (requires node >= 4 where Buffers extend Uint8Array and set is properly inherited)\r\n                           // also works for plain array values\r\n    }\r\n    /* istanbul ignore next */\r\n    : function writeBytesBuffer_copy(val, buf, pos) {\r\n        if (val.copy) // Buffer values\r\n            val.copy(buf, pos, 0, val.length);\r\n        else for (var i = 0; i < val.length;) // plain array values\r\n            buf[pos++] = val[i++];\r\n    };\r\n\r\n/**\r\n * @override\r\n */\r\nBufferWriter.prototype.bytes = function write_bytes_buffer(value) {\r\n    if (util.isString(value))\r\n        value = util._Buffer_from(value, \"base64\");\r\n    var len = value.length >>> 0;\r\n    this.uint32(len);\r\n    if (len)\r\n        this._push(writeBytesBuffer, len, value);\r\n    return this;\r\n};\r\n\r\nfunction writeStringBuffer(val, buf, pos) {\r\n    if (val.length < 40) // plain js is faster for short strings (probably due to redundant assertions)\r\n        util.utf8.write(val, buf, pos);\r\n    else\r\n        buf.utf8Write(val, pos);\r\n}\r\n\r\n/**\r\n * @override\r\n */\r\nBufferWriter.prototype.string = function write_string_buffer(value) {\r\n    var len = Buffer.byteLength(value);\r\n    this.uint32(len);\r\n    if (len)\r\n        this._push(writeStringBuffer, len, value);\r\n    return this;\r\n};\r\n\r\n\r\n/**\r\n * Finishes the write operation.\r\n * @name BufferWriter#finish\r\n * @function\r\n * @returns {Buffer} Finished buffer\r\n */\r\n","\"use strict\";\r\nmodule.exports = Reader;\r\n\r\nvar util      = require(\"./util/minimal\");\r\n\r\nvar BufferReader; // cyclic\r\n\r\nvar LongBits  = util.LongBits,\r\n    utf8      = util.utf8;\r\n\r\n/* istanbul ignore next */\r\nfunction indexOutOfRange(reader, writeLength) {\r\n    return RangeError(\"index out of range: \" + reader.pos + \" + \" + (writeLength || 1) + \" > \" + reader.len);\r\n}\r\n\r\n/**\r\n * Constructs a new reader instance using the specified buffer.\r\n * @classdesc Wire format reader using `Uint8Array` if available, otherwise `Array`.\r\n * @constructor\r\n * @param {Uint8Array} buffer Buffer to read from\r\n */\r\nfunction Reader(buffer) {\r\n\r\n    /**\r\n     * Read buffer.\r\n     * @type {Uint8Array}\r\n     */\r\n    this.buf = buffer;\r\n\r\n    /**\r\n     * Read buffer position.\r\n     * @type {number}\r\n     */\r\n    this.pos = 0;\r\n\r\n    /**\r\n     * Read buffer length.\r\n     * @type {number}\r\n     */\r\n    this.len = buffer.length;\r\n}\r\n\r\nvar create_array = typeof Uint8Array !== \"undefined\"\r\n    ? function create_typed_array(buffer) {\r\n        if (buffer instanceof Uint8Array || Array.isArray(buffer))\r\n            return new Reader(buffer);\r\n        throw Error(\"illegal buffer\");\r\n    }\r\n    /* istanbul ignore next */\r\n    : function create_array(buffer) {\r\n        if (Array.isArray(buffer))\r\n            return new Reader(buffer);\r\n        throw Error(\"illegal buffer\");\r\n    };\r\n\r\n/**\r\n * Creates a new reader using the specified buffer.\r\n * @function\r\n * @param {Uint8Array|Buffer} buffer Buffer to read from\r\n * @returns {Reader|BufferReader} A {@link BufferReader} if `buffer` is a Buffer, otherwise a {@link Reader}\r\n * @throws {Error} If `buffer` is not a valid buffer\r\n */\r\nReader.create = util.Buffer\r\n    ? function create_buffer_setup(buffer) {\r\n        return (Reader.create = function create_buffer(buffer) {\r\n            return util.Buffer.isBuffer(buffer)\r\n                ? new BufferReader(buffer)\r\n                /* istanbul ignore next */\r\n                : create_array(buffer);\r\n        })(buffer);\r\n    }\r\n    /* istanbul ignore next */\r\n    : create_array;\r\n\r\nReader.prototype._slice = util.Array.prototype.subarray || /* istanbul ignore next */ util.Array.prototype.slice;\r\n\r\n/**\r\n * Reads a varint as an unsigned 32 bit value.\r\n * @function\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.uint32 = (function read_uint32_setup() {\r\n    var value = 4294967295; // optimizer type-hint, tends to deopt otherwise (?!)\r\n    return function read_uint32() {\r\n        value = (         this.buf[this.pos] & 127       ) >>> 0; if (this.buf[this.pos++] < 128) return value;\r\n        value = (value | (this.buf[this.pos] & 127) <<  7) >>> 0; if (this.buf[this.pos++] < 128) return value;\r\n        value = (value | (this.buf[this.pos] & 127) << 14) >>> 0; if (this.buf[this.pos++] < 128) return value;\r\n        value = (value | (this.buf[this.pos] & 127) << 21) >>> 0; if (this.buf[this.pos++] < 128) return value;\r\n        value = (value | (this.buf[this.pos] &  15) << 28) >>> 0; if (this.buf[this.pos++] < 128) return value;\r\n\r\n        /* istanbul ignore if */\r\n        if ((this.pos += 5) > this.len) {\r\n            this.pos = this.len;\r\n            throw indexOutOfRange(this, 10);\r\n        }\r\n        return value;\r\n    };\r\n})();\r\n\r\n/**\r\n * Reads a varint as a signed 32 bit value.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.int32 = function read_int32() {\r\n    return this.uint32() | 0;\r\n};\r\n\r\n/**\r\n * Reads a zig-zag encoded varint as a signed 32 bit value.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.sint32 = function read_sint32() {\r\n    var value = this.uint32();\r\n    return value >>> 1 ^ -(value & 1) | 0;\r\n};\r\n\r\n/* eslint-disable no-invalid-this */\r\n\r\nfunction readLongVarint() {\r\n    // tends to deopt with local vars for octet etc.\r\n    var bits = new LongBits(0, 0);\r\n    var i = 0;\r\n    if (this.len - this.pos > 4) { // fast route (lo)\r\n        for (; i < 4; ++i) {\r\n            // 1st..4th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 5th\r\n        bits.lo = (bits.lo | (this.buf[this.pos] & 127) << 28) >>> 0;\r\n        bits.hi = (bits.hi | (this.buf[this.pos] & 127) >>  4) >>> 0;\r\n        if (this.buf[this.pos++] < 128)\r\n            return bits;\r\n        i = 0;\r\n    } else {\r\n        for (; i < 3; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 1st..3th\r\n            bits.lo = (bits.lo | (this.buf[this.pos] & 127) << i * 7) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n        // 4th\r\n        bits.lo = (bits.lo | (this.buf[this.pos++] & 127) << i * 7) >>> 0;\r\n        return bits;\r\n    }\r\n    if (this.len - this.pos > 4) { // fast route (hi)\r\n        for (; i < 5; ++i) {\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    } else {\r\n        for (; i < 5; ++i) {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n            // 6th..10th\r\n            bits.hi = (bits.hi | (this.buf[this.pos] & 127) << i * 7 + 3) >>> 0;\r\n            if (this.buf[this.pos++] < 128)\r\n                return bits;\r\n        }\r\n    }\r\n    /* istanbul ignore next */\r\n    throw Error(\"invalid varint encoding\");\r\n}\r\n\r\n/* eslint-enable no-invalid-this */\r\n\r\n/**\r\n * Reads a varint as a signed 64 bit value.\r\n * @name Reader#int64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as an unsigned 64 bit value.\r\n * @name Reader#uint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a zig-zag encoded varint as a signed 64 bit value.\r\n * @name Reader#sint64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a varint as a boolean.\r\n * @returns {boolean} Value read\r\n */\r\nReader.prototype.bool = function read_bool() {\r\n    return this.uint32() !== 0;\r\n};\r\n\r\nfunction readFixed32_end(buf, end) { // note that this uses `end`, not `pos`\r\n    return (buf[end - 4]\r\n          | buf[end - 3] << 8\r\n          | buf[end - 2] << 16\r\n          | buf[end - 1] << 24) >>> 0;\r\n}\r\n\r\n/**\r\n * Reads fixed 32 bits as an unsigned 32 bit integer.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.fixed32 = function read_fixed32() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    return readFixed32_end(this.buf, this.pos += 4);\r\n};\r\n\r\n/**\r\n * Reads fixed 32 bits as a signed 32 bit integer.\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.sfixed32 = function read_sfixed32() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    return readFixed32_end(this.buf, this.pos += 4) | 0;\r\n};\r\n\r\n/* eslint-disable no-invalid-this */\r\n\r\nfunction readFixed64(/* this: Reader */) {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 8 > this.len)\r\n        throw indexOutOfRange(this, 8);\r\n\r\n    return new LongBits(readFixed32_end(this.buf, this.pos += 4), readFixed32_end(this.buf, this.pos += 4));\r\n}\r\n\r\n/* eslint-enable no-invalid-this */\r\n\r\n/**\r\n * Reads fixed 64 bits.\r\n * @name Reader#fixed64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads zig-zag encoded fixed 64 bits.\r\n * @name Reader#sfixed64\r\n * @function\r\n * @returns {Long} Value read\r\n */\r\n\r\n/**\r\n * Reads a float (32 bit) as a number.\r\n * @function\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.float = function read_float() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 4 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    var value = util.float.readFloatLE(this.buf, this.pos);\r\n    this.pos += 4;\r\n    return value;\r\n};\r\n\r\n/**\r\n * Reads a double (64 bit float) as a number.\r\n * @function\r\n * @returns {number} Value read\r\n */\r\nReader.prototype.double = function read_double() {\r\n\r\n    /* istanbul ignore if */\r\n    if (this.pos + 8 > this.len)\r\n        throw indexOutOfRange(this, 4);\r\n\r\n    var value = util.float.readDoubleLE(this.buf, this.pos);\r\n    this.pos += 8;\r\n    return value;\r\n};\r\n\r\n/**\r\n * Reads a sequence of bytes preceeded by its length as a varint.\r\n * @returns {Uint8Array} Value read\r\n */\r\nReader.prototype.bytes = function read_bytes() {\r\n    var length = this.uint32(),\r\n        start  = this.pos,\r\n        end    = this.pos + length;\r\n\r\n    /* istanbul ignore if */\r\n    if (end > this.len)\r\n        throw indexOutOfRange(this, length);\r\n\r\n    this.pos += length;\r\n    if (Array.isArray(this.buf)) // plain array\r\n        return this.buf.slice(start, end);\r\n    return start === end // fix for IE 10/Win8 and others' subarray returning array of size 1\r\n        ? new this.buf.constructor(0)\r\n        : this._slice.call(this.buf, start, end);\r\n};\r\n\r\n/**\r\n * Reads a string preceeded by its byte length as a varint.\r\n * @returns {string} Value read\r\n */\r\nReader.prototype.string = function read_string() {\r\n    var bytes = this.bytes();\r\n    return utf8.read(bytes, 0, bytes.length);\r\n};\r\n\r\n/**\r\n * Skips the specified number of bytes if specified, otherwise skips a varint.\r\n * @param {number} [length] Length if known, otherwise a varint is assumed\r\n * @returns {Reader} `this`\r\n */\r\nReader.prototype.skip = function skip(length) {\r\n    if (typeof length === \"number\") {\r\n        /* istanbul ignore if */\r\n        if (this.pos + length > this.len)\r\n            throw indexOutOfRange(this, length);\r\n        this.pos += length;\r\n    } else {\r\n        do {\r\n            /* istanbul ignore if */\r\n            if (this.pos >= this.len)\r\n                throw indexOutOfRange(this);\r\n        } while (this.buf[this.pos++] & 128);\r\n    }\r\n    return this;\r\n};\r\n\r\n/**\r\n * Skips the next element of the specified wire type.\r\n * @param {number} wireType Wire type received\r\n * @returns {Reader} `this`\r\n */\r\nReader.prototype.skipType = function(wireType) {\r\n    switch (wireType) {\r\n        case 0:\r\n            this.skip();\r\n            break;\r\n        case 1:\r\n            this.skip(8);\r\n            break;\r\n        case 2:\r\n            this.skip(this.uint32());\r\n            break;\r\n        case 3:\r\n            do { // eslint-disable-line no-constant-condition\r\n                if ((wireType = this.uint32() & 7) === 4)\r\n                    break;\r\n                this.skipType(wireType);\r\n            } while (true);\r\n            break;\r\n        case 5:\r\n            this.skip(4);\r\n            break;\r\n\r\n        /* istanbul ignore next */\r\n        default:\r\n            throw Error(\"invalid wire type \" + wireType + \" at offset \" + this.pos);\r\n    }\r\n    return this;\r\n};\r\n\r\nReader._configure = function(BufferReader_) {\r\n    BufferReader = BufferReader_;\r\n\r\n    var fn = util.Long ? \"toLong\" : /* istanbul ignore next */ \"toNumber\";\r\n    util.merge(Reader.prototype, {\r\n\r\n        int64: function read_int64() {\r\n            return readLongVarint.call(this)[fn](false);\r\n        },\r\n\r\n        uint64: function read_uint64() {\r\n            return readLongVarint.call(this)[fn](true);\r\n        },\r\n\r\n        sint64: function read_sint64() {\r\n            return readLongVarint.call(this).zzDecode()[fn](false);\r\n        },\r\n\r\n        fixed64: function read_fixed64() {\r\n            return readFixed64.call(this)[fn](true);\r\n        },\r\n\r\n        sfixed64: function read_sfixed64() {\r\n            return readFixed64.call(this)[fn](false);\r\n        }\r\n\r\n    });\r\n};\r\n","\"use strict\";\r\nmodule.exports = BufferReader;\r\n\r\n// extends Reader\r\nvar Reader = require(\"./reader\");\r\n(BufferReader.prototype = Object.create(Reader.prototype)).constructor = BufferReader;\r\n\r\nvar util = require(\"./util/minimal\");\r\n\r\n/**\r\n * Constructs a new buffer reader instance.\r\n * @classdesc Wire format reader using node buffers.\r\n * @extends Reader\r\n * @constructor\r\n * @param {Buffer} buffer Buffer to read from\r\n */\r\nfunction BufferReader(buffer) {\r\n    Reader.call(this, buffer);\r\n\r\n    /**\r\n     * Read buffer.\r\n     * @name BufferReader#buf\r\n     * @type {Buffer}\r\n     */\r\n}\r\n\r\n/* istanbul ignore else */\r\nif (util.Buffer)\r\n    BufferReader.prototype._slice = util.Buffer.prototype.slice;\r\n\r\n/**\r\n * @override\r\n */\r\nBufferReader.prototype.string = function read_string_buffer() {\r\n    var len = this.uint32(); // modifies pos\r\n    return this.buf.utf8Slice(this.pos, this.pos = Math.min(this.pos + len, this.len));\r\n};\r\n\r\n/**\r\n * Reads a sequence of bytes preceeded by its length as a varint.\r\n * @name BufferReader#bytes\r\n * @function\r\n * @returns {Buffer} Value read\r\n */\r\n","\"use strict\";\r\nmodule.exports = Service;\r\n\r\nvar util = require(\"../util/minimal\");\r\n\r\n// Extends EventEmitter\r\n(Service.prototype = Object.create(util.EventEmitter.prototype)).constructor = Service;\r\n\r\n/**\r\n * A service method callback as used by {@link rpc.ServiceMethod|ServiceMethod}.\r\n *\r\n * Differs from {@link RPCImplCallback} in that it is an actual callback of a service method which may not return `response = null`.\r\n * @typedef rpc.ServiceMethodCallback\r\n * @template TRes extends Message<TRes>\r\n * @type {function}\r\n * @param {Error|null} error Error, if any\r\n * @param {TRes} [response] Response message\r\n * @returns {undefined}\r\n */\r\n\r\n/**\r\n * A service method part of a {@link rpc.Service} as created by {@link Service.create}.\r\n * @typedef rpc.ServiceMethod\r\n * @template TReq extends Message<TReq>\r\n * @template TRes extends Message<TRes>\r\n * @type {function}\r\n * @param {TReq|Properties<TReq>} request Request message or plain object\r\n * @param {rpc.ServiceMethodCallback<TRes>} [callback] Node-style callback called with the error, if any, and the response message\r\n * @returns {Promise<Message<TRes>>} Promise if `callback` has been omitted, otherwise `undefined`\r\n */\r\n\r\n/**\r\n * Constructs a new RPC service instance.\r\n * @classdesc An RPC service as returned by {@link Service#create}.\r\n * @exports rpc.Service\r\n * @extends util.EventEmitter\r\n * @constructor\r\n * @param {RPCImpl} rpcImpl RPC implementation\r\n * @param {boolean} [requestDelimited=false] Whether requests are length-delimited\r\n * @param {boolean} [responseDelimited=false] Whether responses are length-delimited\r\n */\r\nfunction Service(rpcImpl, requestDelimited, responseDelimited) {\r\n\r\n    if (typeof rpcImpl !== \"function\")\r\n        throw TypeError(\"rpcImpl must be a function\");\r\n\r\n    util.EventEmitter.call(this);\r\n\r\n    /**\r\n     * RPC implementation. Becomes `null` once the service is ended.\r\n     * @type {RPCImpl|null}\r\n     */\r\n    this.rpcImpl = rpcImpl;\r\n\r\n    /**\r\n     * Whether requests are length-delimited.\r\n     * @type {boolean}\r\n     */\r\n    this.requestDelimited = Boolean(requestDelimited);\r\n\r\n    /**\r\n     * Whether responses are length-delimited.\r\n     * @type {boolean}\r\n     */\r\n    this.responseDelimited = Boolean(responseDelimited);\r\n}\r\n\r\n/**\r\n * Calls a service method through {@link rpc.Service#rpcImpl|rpcImpl}.\r\n * @param {Method|rpc.ServiceMethod<TReq,TRes>} method Reflected or static method\r\n * @param {Constructor<TReq>} requestCtor Request constructor\r\n * @param {Constructor<TRes>} responseCtor Response constructor\r\n * @param {TReq|Properties<TReq>} request Request message or plain object\r\n * @param {rpc.ServiceMethodCallback<TRes>} callback Service callback\r\n * @returns {undefined}\r\n * @template TReq extends Message<TReq>\r\n * @template TRes extends Message<TRes>\r\n */\r\nService.prototype.rpcCall = function rpcCall(method, requestCtor, responseCtor, request, callback) {\r\n\r\n    if (!request)\r\n        throw TypeError(\"request must be specified\");\r\n\r\n    var self = this;\r\n    if (!callback)\r\n        return util.asPromise(rpcCall, self, method, requestCtor, responseCtor, request);\r\n\r\n    if (!self.rpcImpl) {\r\n        setTimeout(function() { callback(Error(\"already ended\")); }, 0);\r\n        return undefined;\r\n    }\r\n\r\n    try {\r\n        return self.rpcImpl(\r\n            method,\r\n            requestCtor[self.requestDelimited ? \"encodeDelimited\" : \"encode\"](request).finish(),\r\n            function rpcCallback(err, response) {\r\n\r\n                if (err) {\r\n                    self.emit(\"error\", err, method);\r\n                    return callback(err);\r\n                }\r\n\r\n                if (response === null) {\r\n                    self.end(/* endedByRPC */ true);\r\n                    return undefined;\r\n                }\r\n\r\n                if (!(response instanceof responseCtor)) {\r\n                    try {\r\n                        response = responseCtor[self.responseDelimited ? \"decodeDelimited\" : \"decode\"](response);\r\n                    } catch (err) {\r\n                        self.emit(\"error\", err, method);\r\n                        return callback(err);\r\n                    }\r\n                }\r\n\r\n                self.emit(\"data\", response, method);\r\n                return callback(null, response);\r\n            }\r\n        );\r\n    } catch (err) {\r\n        self.emit(\"error\", err, method);\r\n        setTimeout(function() { callback(err); }, 0);\r\n        return undefined;\r\n    }\r\n};\r\n\r\n/**\r\n * Ends this service and emits the `end` event.\r\n * @param {boolean} [endedByRPC=false] Whether the service has been ended by the RPC implementation.\r\n * @returns {rpc.Service} `this`\r\n */\r\nService.prototype.end = function end(endedByRPC) {\r\n    if (this.rpcImpl) {\r\n        if (!endedByRPC) // signal end to rpcImpl\r\n            this.rpcImpl(null, null, null);\r\n        this.rpcImpl = null;\r\n        this.emit(\"end\").off();\r\n    }\r\n    return this;\r\n};\r\n","\"use strict\";\r\n\r\n/**\r\n * Streaming RPC helpers.\r\n * @namespace\r\n */\r\nvar rpc = exports;\r\n\r\n/**\r\n * RPC implementation passed to {@link Service#create} performing a service request on network level, i.e. by utilizing http requests or websockets.\r\n * @typedef RPCImpl\r\n * @type {function}\r\n * @param {Method|rpc.ServiceMethod<Message<{}>,Message<{}>>} method Reflected or static method being called\r\n * @param {Uint8Array} requestData Request data\r\n * @param {RPCImplCallback} callback Callback function\r\n * @returns {undefined}\r\n * @example\r\n * function rpcImpl(method, requestData, callback) {\r\n *     if (protobuf.util.lcFirst(method.name) !== \"myMethod\") // compatible with static code\r\n *         throw Error(\"no such method\");\r\n *     asynchronouslyObtainAResponse(requestData, function(err, responseData) {\r\n *         callback(err, responseData);\r\n *     });\r\n * }\r\n */\r\n\r\n/**\r\n * Node-style callback as used by {@link RPCImpl}.\r\n * @typedef RPCImplCallback\r\n * @type {function}\r\n * @param {Error|null} error Error, if any, otherwise `null`\r\n * @param {Uint8Array|null} [response] Response data or `null` to signal end of stream, if there hasn't been an error\r\n * @returns {undefined}\r\n */\r\n\r\nrpc.Service = require(\"./rpc/service\");\r\n","\"use strict\";\r\nmodule.exports = {};\r\n\r\n/**\r\n * Named roots.\r\n * This is where pbjs stores generated structures (the option `-r, --root` specifies a name).\r\n * Can also be used manually to make roots available accross modules.\r\n * @name roots\r\n * @type {Object.<string,Root>}\r\n * @example\r\n * // pbjs -r myroot -o compiled.js ...\r\n *\r\n * // in another module:\r\n * require(\"./compiled.js\");\r\n *\r\n * // in any subsequent module:\r\n * var root = protobuf.roots[\"myroot\"];\r\n */\r\n","\"use strict\";\r\nvar protobuf = exports;\r\n\r\n/**\r\n * Build type, one of `\"full\"`, `\"light\"` or `\"minimal\"`.\r\n * @name build\r\n * @type {string}\r\n * @const\r\n */\r\nprotobuf.build = \"minimal\";\r\n\r\n// Serialization\r\nprotobuf.Writer       = require(\"./writer\");\r\nprotobuf.BufferWriter = require(\"./writer_buffer\");\r\nprotobuf.Reader       = require(\"./reader\");\r\nprotobuf.BufferReader = require(\"./reader_buffer\");\r\n\r\n// Utility\r\nprotobuf.util         = require(\"./util/minimal\");\r\nprotobuf.rpc          = require(\"./rpc\");\r\nprotobuf.roots        = require(\"./roots\");\r\nprotobuf.configure    = configure;\r\n\r\n/* istanbul ignore next */\r\n/**\r\n * Reconfigures the library according to the environment.\r\n * @returns {undefined}\r\n */\r\nfunction configure() {\r\n    protobuf.Reader._configure(protobuf.BufferReader);\r\n    protobuf.util._configure();\r\n}\r\n\r\n// Configure serialization\r\nprotobuf.Writer._configure(protobuf.BufferWriter);\r\nconfigure();\r\n","// minimal library entry point.\r\n\r\n\"use strict\";\r\nmodule.exports = require(\"./src/index-minimal\");\r\n","/*eslint-disable block-scoped-var, no-redeclare, no-control-regex, no-prototype-builtins*/\nimport * as $protobuf from \"protobufjs/minimal\";\n\nconst $Reader = $protobuf.Reader, $util = $protobuf.util;\n\nconst $root = $protobuf.roots[\"default\"] || ($protobuf.roots[\"default\"] = {});\n\nexport const tensorflow = $root.tensorflow = (function() {\n\n    const tensorflow = {};\n\n    tensorflow.Any = (function() {\n\n        function Any(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        Any.prototype.typeUrl = \"\";\n        Any.prototype.value = $util.newBuffer([]);\n\n        Any.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.Any();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.typeUrl = r.string();\n                    break;\n                case 2:\n                    m.value = r.bytes();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return Any;\n    })();\n\n    tensorflow.DataType = (function() {\n        const valuesById = {}, values = Object.create(valuesById);\n        values[valuesById[0] = \"DT_INVALID\"] = 0;\n        values[valuesById[1] = \"DT_FLOAT\"] = 1;\n        values[valuesById[2] = \"DT_DOUBLE\"] = 2;\n        values[valuesById[3] = \"DT_INT32\"] = 3;\n        values[valuesById[4] = \"DT_UINT8\"] = 4;\n        values[valuesById[5] = \"DT_INT16\"] = 5;\n        values[valuesById[6] = \"DT_INT8\"] = 6;\n        values[valuesById[7] = \"DT_STRING\"] = 7;\n        values[valuesById[8] = \"DT_COMPLEX64\"] = 8;\n        values[valuesById[9] = \"DT_INT64\"] = 9;\n        values[valuesById[10] = \"DT_BOOL\"] = 10;\n        values[valuesById[11] = \"DT_QINT8\"] = 11;\n        values[valuesById[12] = \"DT_QUINT8\"] = 12;\n        values[valuesById[13] = \"DT_QINT32\"] = 13;\n        values[valuesById[14] = \"DT_BFLOAT16\"] = 14;\n        values[valuesById[101] = \"DT_FLOAT_REF\"] = 101;\n        values[valuesById[102] = \"DT_DOUBLE_REF\"] = 102;\n        values[valuesById[103] = \"DT_INT32_REF\"] = 103;\n        values[valuesById[104] = \"DT_UINT8_REF\"] = 104;\n        values[valuesById[105] = \"DT_INT16_REF\"] = 105;\n        values[valuesById[106] = \"DT_INT8_REF\"] = 106;\n        values[valuesById[107] = \"DT_STRING_REF\"] = 107;\n        values[valuesById[108] = \"DT_COMPLEX64_REF\"] = 108;\n        values[valuesById[109] = \"DT_INT64_REF\"] = 109;\n        values[valuesById[110] = \"DT_BOOL_REF\"] = 110;\n        values[valuesById[111] = \"DT_QINT8_REF\"] = 111;\n        values[valuesById[112] = \"DT_QUINT8_REF\"] = 112;\n        values[valuesById[113] = \"DT_QINT32_REF\"] = 113;\n        values[valuesById[114] = \"DT_BFLOAT16_REF\"] = 114;\n        return values;\n    })();\n\n    tensorflow.TensorShape = (function() {\n\n        function TensorShape(p) {\n            this.dim = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        TensorShape.prototype.dim = $util.emptyArray;\n        TensorShape.prototype.unknownRank = false;\n\n        TensorShape.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorShape();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 2:\n                    if (!(m.dim && m.dim.length))\n                        m.dim = [];\n                    m.dim.push($root.tensorflow.TensorShape.Dim.decode(r, r.uint32()));\n                    break;\n                case 3:\n                    m.unknownRank = r.bool();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        TensorShape.Dim = (function() {\n\n            function Dim(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            Dim.prototype.size = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n            Dim.prototype.name = \"\";\n\n            Dim.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorShape.Dim();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.size = r.int64();\n                        break;\n                    case 2:\n                        m.name = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return Dim;\n        })();\n\n        return TensorShape;\n    })();\n\n    tensorflow.Tensor = (function() {\n\n        function Tensor(p) {\n            this.floatVal = [];\n            this.doubleVal = [];\n            this.intVal = [];\n            this.stringVal = [];\n            this.scomplexVal = [];\n            this.int64Val = [];\n            this.boolVal = [];\n            this.uint32Val = [];\n            this.uint64Val = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        Tensor.prototype.dtype = 0;\n        Tensor.prototype.tensorShape = null;\n        Tensor.prototype.versionNumber = 0;\n        Tensor.prototype.tensorContent = $util.newBuffer([]);\n        Tensor.prototype.floatVal = $util.emptyArray;\n        Tensor.prototype.doubleVal = $util.emptyArray;\n        Tensor.prototype.intVal = $util.emptyArray;\n        Tensor.prototype.stringVal = $util.emptyArray;\n        Tensor.prototype.scomplexVal = $util.emptyArray;\n        Tensor.prototype.int64Val = $util.emptyArray;\n        Tensor.prototype.boolVal = $util.emptyArray;\n        Tensor.prototype.uint32Val = $util.emptyArray;\n        Tensor.prototype.uint64Val = $util.emptyArray;\n\n        Tensor.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.Tensor();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.dtype = r.int32();\n                    break;\n                case 2:\n                    m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.versionNumber = r.int32();\n                    break;\n                case 4:\n                    m.tensorContent = r.bytes();\n                    break;\n                case 5:\n                    if (!(m.floatVal && m.floatVal.length))\n                        m.floatVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.floatVal.push(r.float());\n                    } else\n                        m.floatVal.push(r.float());\n                    break;\n                case 6:\n                    if (!(m.doubleVal && m.doubleVal.length))\n                        m.doubleVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.doubleVal.push(r.double());\n                    } else\n                        m.doubleVal.push(r.double());\n                    break;\n                case 7:\n                    if (!(m.intVal && m.intVal.length))\n                        m.intVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.intVal.push(r.int32());\n                    } else\n                        m.intVal.push(r.int32());\n                    break;\n                case 8:\n                    if (!(m.stringVal && m.stringVal.length))\n                        m.stringVal = [];\n                    m.stringVal.push(r.bytes());\n                    break;\n                case 9:\n                    if (!(m.scomplexVal && m.scomplexVal.length))\n                        m.scomplexVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.scomplexVal.push(r.float());\n                    } else\n                        m.scomplexVal.push(r.float());\n                    break;\n                case 10:\n                    if (!(m.int64Val && m.int64Val.length))\n                        m.int64Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.int64Val.push(r.int64());\n                    } else\n                        m.int64Val.push(r.int64());\n                    break;\n                case 11:\n                    if (!(m.boolVal && m.boolVal.length))\n                        m.boolVal = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.boolVal.push(r.bool());\n                    } else\n                        m.boolVal.push(r.bool());\n                    break;\n                case 16:\n                    if (!(m.uint32Val && m.uint32Val.length))\n                        m.uint32Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.uint32Val.push(r.uint32());\n                    } else\n                        m.uint32Val.push(r.uint32());\n                    break;\n                case 17:\n                    if (!(m.uint64Val && m.uint64Val.length))\n                        m.uint64Val = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.uint64Val.push(r.uint64());\n                    } else\n                        m.uint64Val.push(r.uint64());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return Tensor;\n    })();\n\n    tensorflow.AttrValue = (function() {\n\n        function AttrValue(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        AttrValue.prototype.list = null;\n        AttrValue.prototype.s = $util.newBuffer([]);\n        AttrValue.prototype.i = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n        AttrValue.prototype.f = 0;\n        AttrValue.prototype.b = false;\n        AttrValue.prototype.type = 0;\n        AttrValue.prototype.shape = null;\n        AttrValue.prototype.tensor = null;\n        AttrValue.prototype.placeholder = \"\";\n        AttrValue.prototype.func = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(AttrValue.prototype, \"value\", {\n            get: $util.oneOfGetter($oneOfFields = [\"list\", \"s\", \"i\", \"f\", \"b\", \"type\", \"shape\", \"tensor\", \"placeholder\", \"func\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        AttrValue.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AttrValue();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.list = $root.tensorflow.AttrValue.ListValue.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.s = r.bytes();\n                    break;\n                case 3:\n                    m.i = r.int64();\n                    break;\n                case 4:\n                    m.f = r.float();\n                    break;\n                case 5:\n                    m.b = r.bool();\n                    break;\n                case 6:\n                    m.type = r.int32();\n                    break;\n                case 7:\n                    m.shape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                    break;\n                case 8:\n                    m.tensor = $root.tensorflow.Tensor.decode(r, r.uint32());\n                    break;\n                case 9:\n                    m.placeholder = r.string();\n                    break;\n                case 10:\n                    m.func = $root.tensorflow.NameAttrList.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        AttrValue.ListValue = (function() {\n\n            function ListValue(p) {\n                this.s = [];\n                this.i = [];\n                this.f = [];\n                this.b = [];\n                this.type = [];\n                this.shape = [];\n                this.tensor = [];\n                this.func = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            ListValue.prototype.s = $util.emptyArray;\n            ListValue.prototype.i = $util.emptyArray;\n            ListValue.prototype.f = $util.emptyArray;\n            ListValue.prototype.b = $util.emptyArray;\n            ListValue.prototype.type = $util.emptyArray;\n            ListValue.prototype.shape = $util.emptyArray;\n            ListValue.prototype.tensor = $util.emptyArray;\n            ListValue.prototype.func = $util.emptyArray;\n\n            ListValue.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AttrValue.ListValue();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 2:\n                        if (!(m.s && m.s.length))\n                            m.s = [];\n                        m.s.push(r.bytes());\n                        break;\n                    case 3:\n                        if (!(m.i && m.i.length))\n                            m.i = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.i.push(r.int64());\n                        } else\n                            m.i.push(r.int64());\n                        break;\n                    case 4:\n                        if (!(m.f && m.f.length))\n                            m.f = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.f.push(r.float());\n                        } else\n                            m.f.push(r.float());\n                        break;\n                    case 5:\n                        if (!(m.b && m.b.length))\n                            m.b = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.b.push(r.bool());\n                        } else\n                            m.b.push(r.bool());\n                        break;\n                    case 6:\n                        if (!(m.type && m.type.length))\n                            m.type = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.type.push(r.int32());\n                        } else\n                            m.type.push(r.int32());\n                        break;\n                    case 7:\n                        if (!(m.shape && m.shape.length))\n                            m.shape = [];\n                        m.shape.push($root.tensorflow.TensorShape.decode(r, r.uint32()));\n                        break;\n                    case 8:\n                        if (!(m.tensor && m.tensor.length))\n                            m.tensor = [];\n                        m.tensor.push($root.tensorflow.Tensor.decode(r, r.uint32()));\n                        break;\n                    case 9:\n                        if (!(m.func && m.func.length))\n                            m.func = [];\n                        m.func.push($root.tensorflow.NameAttrList.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return ListValue;\n        })();\n\n        return AttrValue;\n    })();\n\n    tensorflow.NameAttrList = (function() {\n\n        function NameAttrList(p) {\n            this.attr = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        NameAttrList.prototype.name = \"\";\n        NameAttrList.prototype.attr = $util.emptyObject;\n\n        NameAttrList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.NameAttrList(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return NameAttrList;\n    })();\n\n    tensorflow.NodeDef = (function() {\n\n        function NodeDef(p) {\n            this.input = [];\n            this.attr = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        NodeDef.prototype.name = \"\";\n        NodeDef.prototype.op = \"\";\n        NodeDef.prototype.input = $util.emptyArray;\n        NodeDef.prototype.device = \"\";\n        NodeDef.prototype.attr = $util.emptyObject;\n\n        NodeDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.NodeDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    m.op = r.string();\n                    break;\n                case 3:\n                    if (!(m.input && m.input.length))\n                        m.input = [];\n                    m.input.push(r.string());\n                    break;\n                case 4:\n                    m.device = r.string();\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return NodeDef;\n    })();\n\n    tensorflow.VersionDef = (function() {\n\n        function VersionDef(p) {\n            this.badConsumers = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        VersionDef.prototype.producer = 0;\n        VersionDef.prototype.minConsumer = 0;\n        VersionDef.prototype.badConsumers = $util.emptyArray;\n\n        VersionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.VersionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.producer = r.int32();\n                    break;\n                case 2:\n                    m.minConsumer = r.int32();\n                    break;\n                case 3:\n                    if (!(m.badConsumers && m.badConsumers.length))\n                        m.badConsumers = [];\n                    if ((t & 7) === 2) {\n                        var c2 = r.uint32() + r.pos;\n                        while (r.pos < c2)\n                            m.badConsumers.push(r.int32());\n                    } else\n                        m.badConsumers.push(r.int32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return VersionDef;\n    })();\n\n    tensorflow.GraphDef = (function() {\n\n        function GraphDef(p) {\n            this.node = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        GraphDef.prototype.node = $util.emptyArray;\n        GraphDef.prototype.versions = null;\n        GraphDef.prototype.library = null;\n\n        GraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.GraphDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m.node && m.node.length))\n                        m.node = [];\n                    m.node.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    m.versions = $root.tensorflow.VersionDef.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.library = $root.tensorflow.FunctionDefLibrary.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return GraphDef;\n    })();\n\n    tensorflow.CollectionDef = (function() {\n\n        function CollectionDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        CollectionDef.prototype.nodeList = null;\n        CollectionDef.prototype.bytesList = null;\n        CollectionDef.prototype.int64List = null;\n        CollectionDef.prototype.floatList = null;\n        CollectionDef.prototype.anyList = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(CollectionDef.prototype, \"kind\", {\n            get: $util.oneOfGetter($oneOfFields = [\"nodeList\", \"bytesList\", \"int64List\", \"floatList\", \"anyList\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        CollectionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.nodeList = $root.tensorflow.CollectionDef.NodeList.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.bytesList = $root.tensorflow.CollectionDef.BytesList.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.int64List = $root.tensorflow.CollectionDef.Int64List.decode(r, r.uint32());\n                    break;\n                case 4:\n                    m.floatList = $root.tensorflow.CollectionDef.FloatList.decode(r, r.uint32());\n                    break;\n                case 5:\n                    m.anyList = $root.tensorflow.CollectionDef.AnyList.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        CollectionDef.NodeList = (function() {\n\n            function NodeList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            NodeList.prototype.value = $util.emptyArray;\n\n            NodeList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.NodeList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push(r.string());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return NodeList;\n        })();\n\n        CollectionDef.BytesList = (function() {\n\n            function BytesList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            BytesList.prototype.value = $util.emptyArray;\n\n            BytesList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.BytesList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push(r.bytes());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return BytesList;\n        })();\n\n        CollectionDef.Int64List = (function() {\n\n            function Int64List(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            Int64List.prototype.value = $util.emptyArray;\n\n            Int64List.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.Int64List();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.value.push(r.int64());\n                        } else\n                            m.value.push(r.int64());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return Int64List;\n        })();\n\n        CollectionDef.FloatList = (function() {\n\n            function FloatList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            FloatList.prototype.value = $util.emptyArray;\n\n            FloatList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.FloatList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        if ((t & 7) === 2) {\n                            var c2 = r.uint32() + r.pos;\n                            while (r.pos < c2)\n                                m.value.push(r.float());\n                        } else\n                            m.value.push(r.float());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return FloatList;\n        })();\n\n        CollectionDef.AnyList = (function() {\n\n            function AnyList(p) {\n                this.value = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            AnyList.prototype.value = $util.emptyArray;\n\n            AnyList.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.CollectionDef.AnyList();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        if (!(m.value && m.value.length))\n                            m.value = [];\n                        m.value.push($root.tensorflow.Any.decode(r, r.uint32()));\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return AnyList;\n        })();\n\n        return CollectionDef;\n    })();\n\n    tensorflow.SaverDef = (function() {\n\n        function SaverDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SaverDef.prototype.filenameTensorName = \"\";\n        SaverDef.prototype.saveTensorName = \"\";\n        SaverDef.prototype.restoreOpName = \"\";\n        SaverDef.prototype.maxToKeep = 0;\n        SaverDef.prototype.sharded = false;\n        SaverDef.prototype.keepCheckpointEveryNHours = 0;\n        SaverDef.prototype.version = 0;\n\n        SaverDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SaverDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.filenameTensorName = r.string();\n                    break;\n                case 2:\n                    m.saveTensorName = r.string();\n                    break;\n                case 3:\n                    m.restoreOpName = r.string();\n                    break;\n                case 4:\n                    m.maxToKeep = r.int32();\n                    break;\n                case 5:\n                    m.sharded = r.bool();\n                    break;\n                case 6:\n                    m.keepCheckpointEveryNHours = r.float();\n                    break;\n                case 7:\n                    m.version = r.int32();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        SaverDef.CheckpointFormatVersion = (function() {\n            const valuesById = {}, values = Object.create(valuesById);\n            values[valuesById[0] = \"LEGACY\"] = 0;\n            values[valuesById[1] = \"V1\"] = 1;\n            values[valuesById[2] = \"V2\"] = 2;\n            return values;\n        })();\n\n        return SaverDef;\n    })();\n\n    tensorflow.TensorInfo = (function() {\n\n        function TensorInfo(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        TensorInfo.prototype.name = \"\";\n        TensorInfo.prototype.cooSparse = null;\n        TensorInfo.prototype.dtype = 0;\n        TensorInfo.prototype.tensorShape = null;\n\n        let $oneOfFields;\n\n        Object.defineProperty(TensorInfo.prototype, \"encoding\", {\n            get: $util.oneOfGetter($oneOfFields = [\"name\", \"cooSparse\"]),\n            set: $util.oneOfSetter($oneOfFields)\n        });\n\n        TensorInfo.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorInfo();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 4:\n                    m.cooSparse = $root.tensorflow.TensorInfo.CooSparse.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.dtype = r.int32();\n                    break;\n                case 3:\n                    m.tensorShape = $root.tensorflow.TensorShape.decode(r, r.uint32());\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        TensorInfo.CooSparse = (function() {\n\n            function CooSparse(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            CooSparse.prototype.valuesTensorName = \"\";\n            CooSparse.prototype.indicesTensorName = \"\";\n            CooSparse.prototype.denseShapeTensorName = \"\";\n\n            CooSparse.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.TensorInfo.CooSparse();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.valuesTensorName = r.string();\n                        break;\n                    case 2:\n                        m.indicesTensorName = r.string();\n                        break;\n                    case 3:\n                        m.denseShapeTensorName = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return CooSparse;\n        })();\n\n        return TensorInfo;\n    })();\n\n    tensorflow.SignatureDef = (function() {\n\n        function SignatureDef(p) {\n            this.inputs = {};\n            this.outputs = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SignatureDef.prototype.inputs = $util.emptyObject;\n        SignatureDef.prototype.outputs = $util.emptyObject;\n        SignatureDef.prototype.methodName = \"\";\n\n        SignatureDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SignatureDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    r.skip().pos++;\n                    if (m.inputs === $util.emptyObject)\n                        m.inputs = {};\n                    k = r.string();\n                    r.pos++;\n                    m.inputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 2:\n                    r.skip().pos++;\n                    if (m.outputs === $util.emptyObject)\n                        m.outputs = {};\n                    k = r.string();\n                    r.pos++;\n                    m.outputs[k] = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.methodName = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return SignatureDef;\n    })();\n\n    tensorflow.AssetFileDef = (function() {\n\n        function AssetFileDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        AssetFileDef.prototype.tensorInfo = null;\n        AssetFileDef.prototype.filename = \"\";\n\n        AssetFileDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.AssetFileDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.tensorInfo = $root.tensorflow.TensorInfo.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.filename = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return AssetFileDef;\n    })();\n\n    tensorflow.OpDef = (function() {\n\n        function OpDef(p) {\n            this.inputArg = [];\n            this.outputArg = [];\n            this.attr = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        OpDef.prototype.name = \"\";\n        OpDef.prototype.inputArg = $util.emptyArray;\n        OpDef.prototype.outputArg = $util.emptyArray;\n        OpDef.prototype.attr = $util.emptyArray;\n        OpDef.prototype.deprecation = null;\n        OpDef.prototype.summary = \"\";\n        OpDef.prototype.description = \"\";\n        OpDef.prototype.isCommutative = false;\n        OpDef.prototype.isAggregate = false;\n        OpDef.prototype.isStateful = false;\n        OpDef.prototype.allowsUninitializedInput = false;\n\n        OpDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.name = r.string();\n                    break;\n                case 2:\n                    if (!(m.inputArg && m.inputArg.length))\n                        m.inputArg = [];\n                    m.inputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                    break;\n                case 3:\n                    if (!(m.outputArg && m.outputArg.length))\n                        m.outputArg = [];\n                    m.outputArg.push($root.tensorflow.OpDef.ArgDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    if (!(m.attr && m.attr.length))\n                        m.attr = [];\n                    m.attr.push($root.tensorflow.OpDef.AttrDef.decode(r, r.uint32()));\n                    break;\n                case 8:\n                    m.deprecation = $root.tensorflow.OpDef.OpDeprecation.decode(r, r.uint32());\n                    break;\n                case 5:\n                    m.summary = r.string();\n                    break;\n                case 6:\n                    m.description = r.string();\n                    break;\n                case 18:\n                    m.isCommutative = r.bool();\n                    break;\n                case 16:\n                    m.isAggregate = r.bool();\n                    break;\n                case 17:\n                    m.isStateful = r.bool();\n                    break;\n                case 19:\n                    m.allowsUninitializedInput = r.bool();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        OpDef.ArgDef = (function() {\n\n            function ArgDef(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            ArgDef.prototype.name = \"\";\n            ArgDef.prototype.description = \"\";\n            ArgDef.prototype.type = 0;\n            ArgDef.prototype.typeAttr = \"\";\n            ArgDef.prototype.numberAttr = \"\";\n            ArgDef.prototype.typeListAttr = \"\";\n            ArgDef.prototype.isRef = false;\n\n            ArgDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.ArgDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        m.description = r.string();\n                        break;\n                    case 3:\n                        m.type = r.int32();\n                        break;\n                    case 4:\n                        m.typeAttr = r.string();\n                        break;\n                    case 5:\n                        m.numberAttr = r.string();\n                        break;\n                    case 6:\n                        m.typeListAttr = r.string();\n                        break;\n                    case 16:\n                        m.isRef = r.bool();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return ArgDef;\n        })();\n\n        OpDef.AttrDef = (function() {\n\n            function AttrDef(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            AttrDef.prototype.name = \"\";\n            AttrDef.prototype.type = \"\";\n            AttrDef.prototype.defaultValue = null;\n            AttrDef.prototype.description = \"\";\n            AttrDef.prototype.hasMinimum = false;\n            AttrDef.prototype.minimum = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n            AttrDef.prototype.allowedValues = null;\n\n            AttrDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.AttrDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.name = r.string();\n                        break;\n                    case 2:\n                        m.type = r.string();\n                        break;\n                    case 3:\n                        m.defaultValue = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        m.description = r.string();\n                        break;\n                    case 5:\n                        m.hasMinimum = r.bool();\n                        break;\n                    case 6:\n                        m.minimum = r.int64();\n                        break;\n                    case 7:\n                        m.allowedValues = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return AttrDef;\n        })();\n\n        OpDef.OpDeprecation = (function() {\n\n            function OpDeprecation(p) {\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            OpDeprecation.prototype.version = 0;\n            OpDeprecation.prototype.explanation = \"\";\n\n            OpDeprecation.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpDef.OpDeprecation();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.version = r.int32();\n                        break;\n                    case 2:\n                        m.explanation = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return OpDeprecation;\n        })();\n\n        return OpDef;\n    })();\n\n    tensorflow.OpList = (function() {\n\n        function OpList(p) {\n            this.op = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        OpList.prototype.op = $util.emptyArray;\n\n        OpList.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.OpList();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m.op && m.op.length))\n                        m.op = [];\n                    m.op.push($root.tensorflow.OpDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return OpList;\n    })();\n\n    tensorflow.MetaGraphDef = (function() {\n\n        function MetaGraphDef(p) {\n            this.collectionDef = {};\n            this.signatureDef = {};\n            this.assetFileDef = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        MetaGraphDef.prototype.metaInfoDef = null;\n        MetaGraphDef.prototype.graphDef = null;\n        MetaGraphDef.prototype.saverDef = null;\n        MetaGraphDef.prototype.collectionDef = $util.emptyObject;\n        MetaGraphDef.prototype.signatureDef = $util.emptyObject;\n        MetaGraphDef.prototype.assetFileDef = $util.emptyArray;\n\n        MetaGraphDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.MetaGraphDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.metaInfoDef = $root.tensorflow.MetaGraphDef.MetaInfoDef.decode(r, r.uint32());\n                    break;\n                case 2:\n                    m.graphDef = $root.tensorflow.GraphDef.decode(r, r.uint32());\n                    break;\n                case 3:\n                    m.saverDef = $root.tensorflow.SaverDef.decode(r, r.uint32());\n                    break;\n                case 4:\n                    r.skip().pos++;\n                    if (m.collectionDef === $util.emptyObject)\n                        m.collectionDef = {};\n                    k = r.string();\n                    r.pos++;\n                    m.collectionDef[k] = $root.tensorflow.CollectionDef.decode(r, r.uint32());\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.signatureDef === $util.emptyObject)\n                        m.signatureDef = {};\n                    k = r.string();\n                    r.pos++;\n                    m.signatureDef[k] = $root.tensorflow.SignatureDef.decode(r, r.uint32());\n                    break;\n                case 6:\n                    if (!(m.assetFileDef && m.assetFileDef.length))\n                        m.assetFileDef = [];\n                    m.assetFileDef.push($root.tensorflow.AssetFileDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        MetaGraphDef.MetaInfoDef = (function() {\n\n            function MetaInfoDef(p) {\n                this.tags = [];\n                if (p)\n                    for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                        if (p[ks[i]] != null)\n                            this[ks[i]] = p[ks[i]];\n            }\n\n            MetaInfoDef.prototype.metaGraphVersion = \"\";\n            MetaInfoDef.prototype.strippedOpList = null;\n            MetaInfoDef.prototype.anyInfo = null;\n            MetaInfoDef.prototype.tags = $util.emptyArray;\n            MetaInfoDef.prototype.tensorflowVersion = \"\";\n            MetaInfoDef.prototype.tensorflowGitVersion = \"\";\n\n            MetaInfoDef.decode = function decode(r, l) {\n                if (!(r instanceof $Reader))\n                    r = $Reader.create(r);\n                var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.MetaGraphDef.MetaInfoDef();\n                while (r.pos < c) {\n                    var t = r.uint32();\n                    switch (t >>> 3) {\n                    case 1:\n                        m.metaGraphVersion = r.string();\n                        break;\n                    case 2:\n                        m.strippedOpList = $root.tensorflow.OpList.decode(r, r.uint32());\n                        break;\n                    case 3:\n                        m.anyInfo = $root.tensorflow.Any.decode(r, r.uint32());\n                        break;\n                    case 4:\n                        if (!(m.tags && m.tags.length))\n                            m.tags = [];\n                        m.tags.push(r.string());\n                        break;\n                    case 5:\n                        m.tensorflowVersion = r.string();\n                        break;\n                    case 6:\n                        m.tensorflowGitVersion = r.string();\n                        break;\n                    default:\n                        r.skipType(t & 7);\n                        break;\n                    }\n                }\n                return m;\n            };\n\n            return MetaInfoDef;\n        })();\n\n        return MetaGraphDef;\n    })();\n\n    tensorflow.SavedModel = (function() {\n\n        function SavedModel(p) {\n            this.metaGraphs = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        SavedModel.prototype.savedModelSchemaVersion = $util.Long ? $util.Long.fromBits(0,0,false) : 0;\n        SavedModel.prototype.metaGraphs = $util.emptyArray;\n\n        SavedModel.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.SavedModel();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.savedModelSchemaVersion = r.int64();\n                    break;\n                case 2:\n                    if (!(m.metaGraphs && m.metaGraphs.length))\n                        m.metaGraphs = [];\n                    m.metaGraphs.push($root.tensorflow.MetaGraphDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return SavedModel;\n    })();\n\n    tensorflow.FunctionDefLibrary = (function() {\n\n        function FunctionDefLibrary(p) {\n            this[\"function\"] = [];\n            this.gradient = [];\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDefLibrary.prototype[\"function\"] = $util.emptyArray;\n        FunctionDefLibrary.prototype.gradient = $util.emptyArray;\n\n        FunctionDefLibrary.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.FunctionDefLibrary();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    if (!(m[\"function\"] && m[\"function\"].length))\n                        m[\"function\"] = [];\n                    m[\"function\"].push($root.tensorflow.FunctionDef.decode(r, r.uint32()));\n                    break;\n                case 2:\n                    if (!(m.gradient && m.gradient.length))\n                        m.gradient = [];\n                    m.gradient.push($root.tensorflow.GradientDef.decode(r, r.uint32()));\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDefLibrary;\n    })();\n\n    tensorflow.FunctionDef = (function() {\n\n        function FunctionDef(p) {\n            this.attr = {};\n            this.nodeDef = [];\n            this.ret = {};\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        FunctionDef.prototype.signature = null;\n        FunctionDef.prototype.attr = $util.emptyObject;\n        FunctionDef.prototype.nodeDef = $util.emptyArray;\n        FunctionDef.prototype.ret = $util.emptyObject;\n\n        FunctionDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.FunctionDef(), k;\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.signature = $root.tensorflow.OpDef.decode(r, r.uint32());\n                    break;\n                case 5:\n                    r.skip().pos++;\n                    if (m.attr === $util.emptyObject)\n                        m.attr = {};\n                    k = r.string();\n                    r.pos++;\n                    m.attr[k] = $root.tensorflow.AttrValue.decode(r, r.uint32());\n                    break;\n                case 3:\n                    if (!(m.nodeDef && m.nodeDef.length))\n                        m.nodeDef = [];\n                    m.nodeDef.push($root.tensorflow.NodeDef.decode(r, r.uint32()));\n                    break;\n                case 4:\n                    r.skip().pos++;\n                    if (m.ret === $util.emptyObject)\n                        m.ret = {};\n                    k = r.string();\n                    r.pos++;\n                    m.ret[k] = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return FunctionDef;\n    })();\n\n    tensorflow.GradientDef = (function() {\n\n        function GradientDef(p) {\n            if (p)\n                for (var ks = Object.keys(p), i = 0; i < ks.length; ++i)\n                    if (p[ks[i]] != null)\n                        this[ks[i]] = p[ks[i]];\n        }\n\n        GradientDef.prototype.functionName = \"\";\n        GradientDef.prototype.gradientFunc = \"\";\n\n        GradientDef.decode = function decode(r, l) {\n            if (!(r instanceof $Reader))\n                r = $Reader.create(r);\n            var c = l === undefined ? r.len : r.pos + l, m = new $root.tensorflow.GradientDef();\n            while (r.pos < c) {\n                var t = r.uint32();\n                switch (t >>> 3) {\n                case 1:\n                    m.functionName = r.string();\n                    break;\n                case 2:\n                    m.gradientFunc = r.string();\n                    break;\n                default:\n                    r.skipType(t & 7);\n                    break;\n                }\n            }\n            return m;\n        };\n\n        return GradientDef;\n    })();\n\n    return tensorflow;\n})();\n\nexport { $root as default };\n","export function getParamValue(paramName, node, tensorMap, context) {\n    var param = node.params[paramName];\n    if (param && param.inputIndex !== undefined) {\n        if (param.type === 'tensor') {\n            return getTensor(node.inputNames[param.inputIndex], tensorMap, context);\n        }\n        if (param.type === 'tensors') {\n            var inputs = param.inputIndex === 0 ?\n                (param.inputParamLength === 0 ?\n                    node.inputNames :\n                    node.inputNames.slice(param.inputIndex, -param.inputParamLength)) :\n                node.inputNames.splice(param.inputIndex);\n            return inputs.map(function (name) { return getTensor(name, tensorMap, context); });\n        }\n        var data = Array.prototype.slice.call(getTensor(node.inputNames.slice(param.inputIndex)[0], tensorMap, context)\n            .dataSync());\n        return param.type === 'number' ? data[0] : data;\n    }\n    return param && param.value;\n}\nexport function getTensor(name, tensorsMap, context) {\n    var _a = parseNodeName(name), nodeName = _a[0], index = _a[1];\n    var contextId = context.currentContextIds.find(function (contextId) {\n        return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n    });\n    return contextId !== undefined ?\n        tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n        undefined;\n}\nexport function getNodeNameAndIndex(inputName, context) {\n    var _a = parseNodeName(inputName), nodeName = _a[0], index = _a[1];\n    return [\n        getNodeNameWithContextId(nodeName, context && context.currentContextId),\n        index\n    ];\n}\nfunction getNodeNameWithContextId(name, contextId) {\n    return !!contextId ? name + \"-\" + contextId : name;\n}\nexport function parseNodeName(name) {\n    var index = name.lastIndexOf(':');\n    if (index === -1)\n        return [name, 0];\n    var nodeName = name.substring(0, index);\n    return [nodeName, Number(name.substring(index + 1))];\n}\nexport function split(arr, size) {\n    var res = [];\n    for (var i = 0; i < arr.length; i += size) {\n        res.push(arr.slice(i, i + size));\n    }\n    return res;\n}\n//# sourceMappingURL=utils.js.map","import { tensorflow } from '../data/compiled_api';\nimport { getNodeNameAndIndex } from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic.json';\nimport * as basicMath from './op_list/basic_math.json';\nimport * as control from './op_list/control.json';\nimport * as convolution from './op_list/convolution.json';\nimport * as creation from './op_list/creation.json';\nimport * as graph from './op_list/graph.json';\nimport * as image from './op_list/image.json';\nimport * as logical from './op_list/logical.json';\nimport * as matrices from './op_list/matrices.json';\nimport * as normalization from './op_list/normalization.json';\nimport * as reduction from './op_list/reduction.json';\nimport * as sliceJoin from './op_list/slice_join.json';\nimport * as transformation from './op_list/transformation.json';\nvar CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nvar OperationMapper = (function () {\n    function OperationMapper() {\n        var ops = [\n            arithmetic, basicMath, control, convolution, creation, logical, image,\n            graph, matrices, normalization, reduction, sliceJoin, transformation\n        ];\n        var mappersJson = [].concat.apply([], ops.map(function (op) { return op.default ? op.default : op; }));\n        this.opMappers = mappersJson.reduce(function (map, mapper) {\n            map[mapper.tfOpName] = mapper;\n            return map;\n        }, {});\n    }\n    Object.defineProperty(OperationMapper, \"Instance\", {\n        get: function () {\n            return this._instance || (this._instance = new this());\n        },\n        enumerable: true,\n        configurable: true\n    });\n    OperationMapper.prototype.isControlFlow = function (node) {\n        return CONTROL_FLOW_OPS.some(function (op) { return op === node.op; });\n    };\n    OperationMapper.prototype.transformGraph = function (graph) {\n        var _this = this;\n        var tfNodes = graph.node;\n        var withControlFlow = false;\n        var placeholders = [];\n        var nodes = tfNodes.reduce(function (map, node) {\n            map[node.name] = _this.mapNode(node);\n            if (_this.isControlFlow(node))\n                withControlFlow = true;\n            if (node.op === 'Placeholder')\n                placeholders.push(map[node.name]);\n            return map;\n        }, {});\n        var inputs = [];\n        var outputs = [];\n        Object.keys(nodes).forEach(function (key) {\n            var node = nodes[key];\n            node.inputNames.forEach(function (name) {\n                var nodeName = getNodeNameAndIndex(name)[0];\n                node.inputs.push(nodes[nodeName]);\n                nodes[nodeName].children.push(node);\n            });\n            if (node.inputs.length === 0)\n                inputs.push(node);\n        });\n        Object.keys(nodes).forEach(function (key) {\n            var node = nodes[key];\n            if (node.children.length === 0)\n                outputs.push(node);\n        });\n        return { nodes: nodes, inputs: inputs, outputs: outputs, placeholders: placeholders, withControlFlow: withControlFlow };\n    };\n    OperationMapper.prototype.mapNode = function (node) {\n        var _this = this;\n        var mapper = this.opMappers[node.op];\n        if (mapper === undefined) {\n            throw new Error('Tensorflow Op is not supported: ' + node.op);\n        }\n        var newNode = {\n            name: node.name,\n            op: mapper.dlOpName,\n            category: mapper.category,\n            inputNames: (node.input ||\n                []).map(function (input) { return input.startsWith('^') ? input.substr(1) : input; }),\n            inputs: [],\n            children: [],\n            params: {}\n        };\n        if (!!mapper.params) {\n            newNode.params = mapper.params.reduce(function (map, param) {\n                var inputIndex = param.tfInputIndex;\n                var inputParamLength = param.tfInputParamLength;\n                var type = param.type;\n                var value = undefined;\n                if (inputIndex === undefined) {\n                    switch (param.type) {\n                        case 'string':\n                            value = _this.getStringParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getStringParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'number':\n                            value = _this.getNumberParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getNumberParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'number[]':\n                            value = _this.getNumericArrayParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getNumericArrayParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'bool':\n                            value = _this.getBoolParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getBoolParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'shape':\n                            value = _this.getTensorShapeParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getTensorShapeParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'dtype':\n                            value = _this.getDtypeParam(node.attr, param.tfParamName, param.defaultValue);\n                            if (value === undefined && !!param.tfParamNameDeprecated) {\n                                value = _this.getDtypeParam(node.attr, param.tfParamNameDeprecated, param.defaultValue);\n                            }\n                            break;\n                        case 'tensor':\n                        case 'tensors':\n                            break;\n                        default:\n                            throw new Error(\"Unsupported param type: \" + param.type + \" for op: \" + node.op);\n                    }\n                }\n                map[param.dlParamName] = { value: value, inputIndex: inputIndex, type: type, inputParamLength: inputParamLength };\n                return map;\n            }, {});\n        }\n        return newNode;\n    };\n    OperationMapper.prototype.getStringParam = function (attrs, name, def, keepCase) {\n        if (keepCase === void 0) { keepCase = false; }\n        var param = attrs[name];\n        if (param !== undefined) {\n            var value = String.fromCharCode.apply(null, param.s);\n            return keepCase ? value : value.toLowerCase();\n        }\n        return def;\n    };\n    OperationMapper.prototype.getBoolParam = function (attrs, name, def) {\n        var param = attrs[name];\n        return param ? param.b : def;\n    };\n    OperationMapper.prototype.getNumberParam = function (attrs, name, def) {\n        var param = attrs[name];\n        var value = (param ? ((param.f !== undefined) ? param.f : param.i) : def);\n        return (typeof value === 'number') ? value : value['toInt']();\n    };\n    OperationMapper.prototype.getDtypeParam = function (attrs, name, def) {\n        var param = attrs[name];\n        if (param && param.type) {\n            switch (param.type) {\n                case tensorflow.DataType.DT_FLOAT:\n                    return 'float32';\n                case tensorflow.DataType.DT_INT32:\n                    return 'int32';\n                case tensorflow.DataType.DT_BOOL:\n                    return 'bool';\n                default:\n                    return def;\n            }\n        }\n        return def;\n    };\n    OperationMapper.prototype.getTensorShapeParam = function (attrs, name, def) {\n        var param = attrs[name];\n        if (param && param.shape) {\n            return param.shape.dim.map(function (dim) { return dim.size; });\n        }\n        return def;\n    };\n    OperationMapper.prototype.getNumericArrayParam = function (attrs, name, def) {\n        var param = attrs[name];\n        if (param) {\n            return ((param.list.f && param.list.f.length ? param.list.f :\n                param.list.i))\n                .map(function (v) { return (typeof v === 'number') ? v : v['toInt'](); });\n        }\n        return def;\n    };\n    return OperationMapper;\n}());\nexport { OperationMapper };\n//# sourceMappingURL=operation_mapper.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'add': {\n            return [tfc.add(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'mod':\n            return [tfc.mod(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        case 'mul':\n            return [tfc.mul(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        case 'div': {\n            return [tfc.div(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'floorDiv': {\n            return [tfc.floorDiv(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'sub': {\n            return [tfc.sub(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'minimum': {\n            return [tfc.minimum(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'maximum': {\n            return [tfc.maximum(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'pow': {\n            return [tfc.pow(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'squaredDifference': {\n            return [tfc.squaredDifference(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'arithmetic';\n//# sourceMappingURL=arithmetic_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue, getTensor } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'abs':\n            return [tfc.abs(getParamValue('x', node, tensorMap, context))];\n        case 'acos':\n            return [tfc.acos(getParamValue('x', node, tensorMap, context))];\n        case 'acosh':\n            return [tfc.acosh(getParamValue('x', node, tensorMap, context))];\n        case 'asin':\n            return [tfc.asin(getParamValue('x', node, tensorMap, context))];\n        case 'asinh':\n            return [tfc.asinh(getParamValue('x', node, tensorMap, context))];\n        case 'atan':\n            return [tfc.atan(getParamValue('x', node, tensorMap, context))];\n        case 'atanh':\n            return [tfc.atanh(getParamValue('x', node, tensorMap, context))];\n        case 'ceil':\n            return [tfc.ceil(getParamValue('x', node, tensorMap, context))];\n        case 'cos':\n            return [tfc.cos(getParamValue('x', node, tensorMap, context))];\n        case 'cosh':\n            return [tfc.cosh(getParamValue('x', node, tensorMap, context))];\n        case 'elu':\n            return [tfc.elu(getParamValue('x', node, tensorMap, context))];\n        case 'erf':\n            return [tfc.erf(getParamValue('x', node, tensorMap, context))];\n        case 'exp':\n            return [tfc.exp(getParamValue('x', node, tensorMap, context))];\n        case 'expm1': {\n            return [tfc.expm1(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'floor':\n            return [tfc.floor(getParamValue('x', node, tensorMap, context))];\n        case 'log':\n            return [tfc.log(getParamValue('x', node, tensorMap, context))];\n        case 'log1p': {\n            return [tfc.log1p(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'neg':\n            return [tfc.neg(getParamValue('x', node, tensorMap, context))];\n        case 'reciprocal': {\n            return [tfc.reciprocal(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'relu':\n            return [tfc.relu(getParamValue('x', node, tensorMap, context))];\n        case 'round': {\n            return [tfc.round(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'selu':\n            return [tfc.selu(getParamValue('x', node, tensorMap, context))];\n        case 'sigmoid':\n            return [tfc.sigmoid(getParamValue('x', node, tensorMap, context))];\n        case 'sin':\n            return [tfc.sin(getParamValue('x', node, tensorMap, context))];\n        case 'sign': {\n            return [tfc.sign(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'sinh': {\n            return [tfc.sinh(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'softplus': {\n            return [tfc.softplus(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'sqrt': {\n            return [tfc.sqrt(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'square': {\n            return [tfc.square(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'tanh': {\n            return [tfc.tanh(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'tan':\n            return [tfc.tan(getParamValue('x', node, tensorMap, context))];\n        case 'clipByValue':\n            return [tfc.clipByValue(getParamValue('x', node, tensorMap, context), getParamValue('clipValueMin', node, tensorMap, context), getParamValue('clipValueMax', node, tensorMap, context))];\n        case 'rsqrt':\n            return [tfc.div(tfc.scalar(1.0, 'float32'), tfc.sqrt(getTensor(node.inputNames[0], tensorMap, context)))];\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'basic_math';\n//# sourceMappingURL=basic_math_executor.js.map","var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n    function verb(n) { return function (v) { return step([n, v]); }; }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = y[op[0] & 2 ? \"return\" : op[0] ? \"throw\" : \"next\"]) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [0, t.value];\n            switch (op[0]) {\n                case 0: case 1: t = op; break;\n                case 4: _.label++; return { value: op[1], done: false };\n                case 5: _.label++; y = op[1]; op = [0]; continue;\n                case 7: op = _.ops.pop(); _.trys.pop(); continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop(); continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\nimport { getParamValue, getTensor } from './utils';\nexport function executeOp(node, tensorMap, context) {\n    return __awaiter(this, void 0, void 0, function () {\n        var _a, pred, data_1, inputName, frameId, data, tensor, input;\n        return __generator(this, function (_b) {\n            switch (_b.label) {\n                case 0:\n                    _a = node.op;\n                    switch (_a) {\n                        case 'loopCond': return [3, 1];\n                        case 'switch': return [3, 2];\n                        case 'merge': return [3, 4];\n                        case 'enter': return [3, 5];\n                        case 'exit': return [3, 6];\n                        case 'nextIteration': return [3, 7];\n                    }\n                    return [3, 8];\n                case 1: return [2, [getParamValue('pred', node, tensorMap, context)]];\n                case 2:\n                    pred = getParamValue('pred', node, tensorMap, context);\n                    data_1 = getParamValue('data', node, tensorMap, context);\n                    return [4, pred.data()];\n                case 3: return [2, (_b.sent())[0] ? [undefined, data_1] : [data_1, undefined]];\n                case 4:\n                    inputName = node.inputNames.find(function (name) { return getTensor(name, tensorMap, context) !== undefined; });\n                    return [2, inputName ? [getTensor(inputName, tensorMap, context)] : undefined];\n                case 5:\n                    frameId = getParamValue('frameName', node, tensorMap, context);\n                    data = getParamValue('tensor', node, tensorMap, context);\n                    context.enterFrame(frameId);\n                    return [2, [data]];\n                case 6:\n                    tensor = getParamValue('tensor', node, tensorMap, context);\n                    context.exitFrame();\n                    return [2, [tensor]];\n                case 7:\n                    input = getParamValue('tensor', node, tensorMap, context);\n                    context.nextIteration();\n                    return [2, [input]];\n                case 8: throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n            }\n        });\n    });\n}\nexport var CATEGORY = 'control';\n//# sourceMappingURL=control_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'conv1d': {\n            var stride = getParamValue('stride', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            var dataFormat = getParamValue('dataFormat', node, tensorMap, context)\n                .toUpperCase();\n            var dilation = getParamValue('dilation', node, tensorMap, context);\n            return [tfc.conv1d(getParamValue('x', node, tensorMap, context), getParamValue('filter', node, tensorMap, context), stride, pad, dataFormat, dilation)];\n        }\n        case 'conv2d': {\n            var stride = getParamValue('strides', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            var dataFormat = getParamValue('dataFormat', node, tensorMap, context)\n                .toUpperCase();\n            var dilations = getParamValue('dilations', node, tensorMap, context);\n            return [tfc.conv2d(getParamValue('x', node, tensorMap, context), getParamValue('filter', node, tensorMap, context), [stride[1], stride[2]], pad, dataFormat, [dilations[0], dilations[1]])];\n        }\n        case 'conv2dTranspose': {\n            var shape = getParamValue('outputShape', node, tensorMap, context);\n            var stride = getParamValue('strides', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            return [tfc.conv2dTranspose(getParamValue('x', node, tensorMap, context), getParamValue('filter', node, tensorMap, context), shape, [stride[1], stride[2]], pad)];\n        }\n        case 'depthwiseConv2d': {\n            var stride = getParamValue('strides', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            var dilations = getParamValue('dilations', node, tensorMap, context);\n            var dataFormat = getParamValue('dataFormat', node, tensorMap, context)\n                .toUpperCase();\n            return [tfc.depthwiseConv2d(getParamValue('input', node, tensorMap, context), getParamValue('filter', node, tensorMap, context), [stride[1], stride[2]], pad, dataFormat, [dilations[0], dilations[1]])];\n        }\n        case 'avgPool': {\n            var stride = getParamValue('strides', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            var kernelSize = getParamValue('kernelSize', node, tensorMap, context);\n            return [tfc.avgPool(getParamValue('x', node, tensorMap, context), [kernelSize[1], kernelSize[2]], [stride[1], stride[2]], pad)];\n        }\n        case 'maxPool': {\n            var stride = getParamValue('strides', node, tensorMap, context);\n            var pad = getParamValue('pad', node, tensorMap, context);\n            var kernelSize = getParamValue('kernelSize', node, tensorMap, context);\n            return [tfc.maxPool(getParamValue('x', node, tensorMap, context), [kernelSize[1], kernelSize[2]], [stride[1], stride[2]], pad)];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'convolution';\n//# sourceMappingURL=convolution_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'fill': {\n            var shape = getParamValue('shape', node, tensorMap, context);\n            var value = getParamValue('value', node, tensorMap, context);\n            return [tfc.fill(shape, value)];\n        }\n        case 'linspace': {\n            var start = getParamValue('start', node, tensorMap, context);\n            var stop_1 = getParamValue('stop', node, tensorMap, context);\n            var num = getParamValue('num', node, tensorMap, context);\n            return [tfc.linspace(start, stop_1, num)];\n        }\n        case 'oneHot': {\n            var indices = getParamValue('indices', node, tensorMap, context);\n            var depth = getParamValue('depth', node, tensorMap, context);\n            var onValue = getParamValue('onValue', node, tensorMap, context);\n            var offValue = getParamValue('offValue', node, tensorMap, context);\n            return [tfc.oneHot(indices, depth, onValue, offValue)];\n        }\n        case 'ones': {\n            return [tfc.ones(getParamValue('shape', node, tensorMap, context), getParamValue('dtype', node, tensorMap, context))];\n        }\n        case 'onesLike': {\n            return [tfc.onesLike(getParamValue('x', node, tensorMap, context))];\n        }\n        case 'randomUniform': {\n            return [tfc.randomUniform(getParamValue('shape', node, tensorMap, context), getParamValue('minval', node, tensorMap, context), getParamValue('maxval', node, tensorMap, context), getParamValue('dtype', node, tensorMap, context))];\n        }\n        case 'range': {\n            var start = getParamValue('start', node, tensorMap, context);\n            var stop_2 = getParamValue('stop', node, tensorMap, context);\n            var step = getParamValue('step', node, tensorMap, context);\n            return [tfc.range(start, stop_2, step, getParamValue('dtype', node, tensorMap, context))];\n        }\n        case 'truncatedNormal': {\n            var shape = getParamValue('shape', node, tensorMap, context);\n            var mean = getParamValue('mean', node, tensorMap, context);\n            var stdDev = getParamValue('stdDev', node, tensorMap, context);\n            var seed = getParamValue('seed', node, tensorMap, context);\n            return [tfc.truncatedNormal(shape, mean, stdDev, getParamValue('dtype', node, tensorMap, context), seed)];\n        }\n        case 'zeros': {\n            return [tfc.zeros(getParamValue('shape', node, tensorMap, context), getParamValue('dtype', node, tensorMap, context))];\n        }\n        case 'zerosLike': {\n            return [tfc.zerosLike(getParamValue('x', node, tensorMap, context))];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'creation';\n//# sourceMappingURL=creation_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue, getTensor } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'const': {\n            return tensorMap[node.name];\n        }\n        case 'placeholder':\n            var def = getParamValue('default', node, tensorMap, context);\n            return [getTensor(node.name, tensorMap, context) || def];\n        case 'identity':\n        case 'stopGradient':\n        case 'fakeQuantWithMinMaxVars':\n            return [getParamValue('x', node, tensorMap, context)];\n        case 'snapshot':\n            var snapshot = getParamValue('x', node, tensorMap, context);\n            return [snapshot.clone()];\n        case 'shape':\n            return [tfc.tensor1d(getParamValue('x', node, tensorMap, context).shape, 'int32')];\n        case 'size':\n            return [tfc.scalar(getParamValue('x', node, tensorMap, context).size, 'int32')];\n        case 'rank':\n            return [tfc.scalar(getParamValue('x', node, tensorMap, context).rank, 'int32')];\n        case 'noop':\n            return [];\n        case 'print':\n            var input = getParamValue('x', node, tensorMap, context);\n            var data = getParamValue('data', node, tensorMap, context);\n            var message = getParamValue('message', node, tensorMap, context);\n            var summarize = getParamValue('summarize', node, tensorMap, context);\n            console.warn('The graph has a tf.print() operation,' +\n                'usually used for debugging, which slows down performance.');\n            console.log(message);\n            for (var i = 0; i < data.length; i++) {\n                console.log(Array.prototype.slice.call(data[0].dataSync()).slice(0, summarize));\n            }\n            return [input];\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'graph';\n//# sourceMappingURL=graph_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'resizeBilinear': {\n            var images = getParamValue('images', node, tensorMap, context);\n            var size = getParamValue('size', node, tensorMap, context);\n            var alignCorners = getParamValue('alignCorners', node, tensorMap, context);\n            return [tfc.image.resizeBilinear(images, [size[0], size[1]], alignCorners)];\n        }\n        case 'resizeNearestNeighbor': {\n            var images = getParamValue('images', node, tensorMap, context);\n            var size = getParamValue('size', node, tensorMap, context);\n            var alignCorners = getParamValue('alignCorners', node, tensorMap, context);\n            return [tfc.image.resizeNearestNeighbor(images, [size[0], size[1]], alignCorners)];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'image';\n//# sourceMappingURL=image_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'equal': {\n            return [tfc.equal(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'notEqual': {\n            return [tfc.notEqual(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'greater': {\n            return [tfc.greater(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'greaterEqual': {\n            return [tfc.greaterEqual(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'less': {\n            return [tfc.less(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'lessEqual': {\n            return [tfc.lessEqual(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'logicalAnd': {\n            return [tfc.logicalAnd(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'logicalNot': {\n            return [tfc.logicalNot(getParamValue('a', node, tensorMap, context))];\n        }\n        case 'logicalOr': {\n            return [tfc.logicalOr(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        case 'where': {\n            return [tfc.where(getParamValue('condition', node, tensorMap, context), getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'logical';\n//# sourceMappingURL=logical_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'matMul':\n            return [tfc.matMul(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context), getParamValue('transposeA', node, tensorMap, context), getParamValue('transposeB', node, tensorMap, context))];\n        case 'transpose':\n            return [tfc.transpose(getParamValue('x', node, tensorMap, context), getParamValue('perm', node, tensorMap, context))];\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'matrices';\n//# sourceMappingURL=matrices_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'batchNormalization': {\n            return [tfc.batchNormalization(getParamValue('x', node, tensorMap, context), getParamValue('mean', node, tensorMap, context), getParamValue('variance', node, tensorMap, context), getParamValue('epsilon', node, tensorMap, context), getParamValue('scale', node, tensorMap, context), getParamValue('offset', node, tensorMap, context))];\n        }\n        case 'localResponseNormalization': {\n            return [tfc.localResponseNormalization(getParamValue('x', node, tensorMap, context), getParamValue('radius', node, tensorMap, context), getParamValue('bias', node, tensorMap, context), getParamValue('alpha', node, tensorMap, context), getParamValue('beta', node, tensorMap, context))];\n        }\n        case 'softmax': {\n            return [tfc.softmax(getParamValue('x', node, tensorMap, context))];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'normalization';\n//# sourceMappingURL=normalization_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'max': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var keepDims = getParamValue('keepDims', node, tensorMap, context);\n            return [tfc.max(getParamValue('x', node, tensorMap, context), axis, keepDims)];\n        }\n        case 'mean': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var keepDims = getParamValue('keepDims', node, tensorMap, context);\n            return [tfc.mean(getParamValue('x', node, tensorMap, context), axis, keepDims)];\n        }\n        case 'min': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var keepDims = getParamValue('keepDims', node, tensorMap, context);\n            return [tfc.min(getParamValue('x', node, tensorMap, context), axis, keepDims)];\n        }\n        case 'sum': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var keepDims = getParamValue('keepDims', node, tensorMap, context);\n            return [tfc.sum(getParamValue('x', node, tensorMap, context), axis, keepDims)];\n        }\n        case 'argMax': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            return [tfc.argMax(getParamValue('x', node, tensorMap, context), axis)];\n        }\n        case 'argMin': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            return [tfc.argMin(getParamValue('x', node, tensorMap, context), axis)];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'reduction';\n//# sourceMappingURL=reduction_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'concat': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var inputs = getParamValue('tensors', node, tensorMap, context);\n            return [tfc.concat(inputs, axis)];\n        }\n        case 'gather': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var input = getParamValue('x', node, tensorMap, context);\n            var indices = getParamValue('indices', node, tensorMap, context);\n            return [tfc.gather(input, indices, axis)];\n        }\n        case 'reverse': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var input = getParamValue('x', node, tensorMap, context);\n            return [tfc.reverse(input, axis)];\n        }\n        case 'slice': {\n            var begin = getParamValue('begin', node, tensorMap, context);\n            var size = getParamValue('size', node, tensorMap, context);\n            return [tfc.slice(getParamValue('x', node, tensorMap, context), begin, size)];\n        }\n        case 'stridedSlice': {\n            var begin = getParamValue('begin', node, tensorMap, context);\n            var end = getParamValue('end', node, tensorMap, context);\n            var strides = getParamValue('strides', node, tensorMap, context);\n            var beginMask = getParamValue('beginMask', node, tensorMap, context);\n            var endMask = getParamValue('endMask', node, tensorMap, context);\n            return [tfc.stridedSlice(getParamValue('x', node, tensorMap, context), begin, end, strides, beginMask, endMask)];\n        }\n        case 'stack': {\n            return tfc.tidy(function () {\n                var axis = getParamValue('axis', node, tensorMap, context);\n                var tensors = getParamValue('tensors', node, tensorMap, context);\n                var shape = tensors[0].shape;\n                var squeezedShape = tensors[0].squeeze().shape;\n                var mapped = tensors.map(function (tensor) {\n                    var sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n                    if (!sameShape &&\n                        !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n                        throw new Error('the input tensors shape does not match');\n                    }\n                    return sameShape ? tensor : tensor.reshape(shape);\n                });\n                return [tfc.stack(mapped, axis)];\n            });\n        }\n        case 'unstack': {\n            return tfc.tidy(function () {\n                var axis = getParamValue('axis', node, tensorMap, context);\n                var tensor = getParamValue('tensor', node, tensorMap, context);\n                return tfc.unstack(tensor, axis);\n            });\n        }\n        case 'tile': {\n            var reps = getParamValue('reps', node, tensorMap, context);\n            return [tfc.tile(getParamValue('x', node, tensorMap, context), reps)];\n        }\n        case 'split': {\n            var axis = getParamValue('axis', node, tensorMap, context);\n            var numOrSizeSplits = getParamValue('numOrSizeSplits', node, tensorMap, context);\n            return tfc.split(getParamValue('x', node, tensorMap, context), numOrSizeSplits, axis);\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'slice_join';\n//# sourceMappingURL=slice_join_executor.js.map","import * as tfc from '@tensorflow/tfjs-core';\nimport { getParamValue, split } from './utils';\nexport var executeOp = function (node, tensorMap, context) {\n    switch (node.op) {\n        case 'cast': {\n            return [tfc.cast(getParamValue('x', node, tensorMap, context), getParamValue('dtype', node, tensorMap, context))];\n        }\n        case 'expandDims': {\n            var axis = node.params['axis'].value;\n            return [tfc.expandDims(getParamValue('x', node, tensorMap, context), axis)];\n        }\n        case 'squeeze': {\n            var axis = node.params['axis'].value;\n            return [tfc.squeeze(getParamValue('x', node, tensorMap, context), axis)];\n        }\n        case 'reshape': {\n            return [tfc.reshape(getParamValue('x', node, tensorMap, context), getParamValue('shape', node, tensorMap, context))];\n        }\n        case 'pad': {\n            return [tfc.pad(getParamValue('x', node, tensorMap, context), split(getParamValue('padding', node, tensorMap, context), 2), getParamValue('constantValue', node, tensorMap, context))];\n        }\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n};\nexport var CATEGORY = 'transformation';\n//# sourceMappingURL=transformation_executor.js.map","import * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as transformation from './executors/transformation_executor';\nexport function executeOp(node, tensorMap, context) {\n    switch (node.category) {\n        case 'arithmetic':\n            return arithmetic.executeOp(node, tensorMap, context);\n        case 'basic_math':\n            return basicMath.executeOp(node, tensorMap, context);\n        case 'control':\n            return control.executeOp(node, tensorMap, context);\n        case 'convolution':\n            return convolution.executeOp(node, tensorMap, context);\n        case 'creation':\n            return creation.executeOp(node, tensorMap, context);\n        case 'image':\n            return image.executeOp(node, tensorMap, context);\n        case 'graph':\n            return graph.executeOp(node, tensorMap, context);\n        case 'logical':\n            return logical.executeOp(node, tensorMap, context);\n        case 'matrices':\n            return matrices.executeOp(node, tensorMap, context);\n        case 'normalization':\n            return normalization.executeOp(node, tensorMap, context);\n        case 'reduction':\n            return reduction.executeOp(node, tensorMap, context);\n        case 'slice_join':\n            return sliceJoin.executeOp(node, tensorMap, context);\n        case 'transformation':\n            return transformation.executeOp(node, tensorMap, context);\n        default:\n            throw TypeError(\"Node type \" + node.op + \" is not implemented\");\n    }\n}\n//# sourceMappingURL=operation_executor.js.map","var ExecutionContext = (function () {\n    function ExecutionContext(weightMap) {\n        this.weightMap = weightMap;\n        this.rootContext = { id: 0, frameName: '', iterationId: 0 };\n        this.contexts = [this.rootContext];\n        this.lastId = 0;\n        this.generateCurrentContextIds();\n    }\n    ExecutionContext.prototype.newFrame = function (id, frameName) {\n        return { id: id, frameName: frameName, iterationId: 0 };\n    };\n    Object.defineProperty(ExecutionContext.prototype, \"currentContext\", {\n        get: function () {\n            return this.contexts;\n        },\n        set: function (contexts) {\n            if (this.contexts !== contexts) {\n                this.contexts = contexts;\n                this.generateCurrentContextIds();\n            }\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(ExecutionContext.prototype, \"currentContextId\", {\n        get: function () {\n            return this._currentContextIds[0];\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(ExecutionContext.prototype, \"currentContextIds\", {\n        get: function () {\n            return this._currentContextIds;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    ExecutionContext.prototype.generateCurrentContextIds = function () {\n        var names = [];\n        for (var i = 0; i < this.contexts.length - 1; i++) {\n            var contexts = this.contexts.slice(0, this.contexts.length - i);\n            names.push(this.contextIdforContexts(contexts));\n        }\n        names.push('');\n        this._currentContextIds = names;\n    };\n    ExecutionContext.prototype.contextIdforContexts = function (contexts) {\n        return contexts ?\n            contexts\n                .map(function (context) { return (context.id === 0 && context.iterationId === 0) ?\n                '' :\n                context.frameName + \"-\" + context.iterationId; })\n                .join('/') :\n            '';\n    };\n    ExecutionContext.prototype.enterFrame = function (frameId) {\n        if (this.contexts) {\n            this.lastId++;\n            this.contexts = this.contexts.slice();\n            this.contexts.push(this.newFrame(this.lastId, frameId));\n            this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n        }\n    };\n    ExecutionContext.prototype.exitFrame = function () {\n        if (this.contexts && this.contexts.length > 1) {\n            this.contexts = this.contexts.slice();\n            this.contexts.splice(-1);\n            this.currentContextIds.shift();\n        }\n        else {\n            throw new Error('Cannot exit frame, the context is empty');\n        }\n    };\n    ExecutionContext.prototype.nextIteration = function () {\n        if (this.contexts && this.contexts.length > 0) {\n            this.contexts = this.contexts.slice();\n            this.lastId++;\n            var context = Object.assign({}, this.contexts[this.contexts.length - 1]);\n            context.iterationId += 1;\n            context.id = this.lastId;\n            this.contexts.splice(-1, 1, context);\n            this._currentContextIds.splice(0, 1, this.contextIdforContexts(this.contexts));\n        }\n        else {\n            throw new Error('Cannot increase frame iteration, the context is empty');\n        }\n    };\n    ExecutionContext.prototype.getWeight = function (name) {\n        return this.weightMap[name];\n    };\n    return ExecutionContext;\n}());\nexport { ExecutionContext };\n//# sourceMappingURL=execution_context.js.map","var __assign = (this && this.__assign) || Object.assign || function(t) {\n    for (var s, i = 1, n = arguments.length; i < n; i++) {\n        s = arguments[i];\n        for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p))\n            t[p] = s[p];\n    }\n    return t;\n};\nvar __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n    function verb(n) { return function (v) { return step([n, v]); }; }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = y[op[0] & 2 ? \"return\" : op[0] ? \"throw\" : \"next\"]) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [0, t.value];\n            switch (op[0]) {\n                case 0: case 1: t = op; break;\n                case 4: _.label++; return { value: op[1], done: false };\n                case 5: _.label++; y = op[1]; op = [0]; continue;\n                case 7: op = _.ops.pop(); _.trys.pop(); continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop(); continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\nimport { tidy, util } from '@tensorflow/tfjs-core';\nimport { getNodeNameAndIndex, getTensor } from '../operations/executors/utils';\nimport { executeOp } from '../operations/operation_executor';\nimport { ExecutionContext } from './execution_context';\nvar GraphExecutor = (function () {\n    function GraphExecutor(graph) {\n        this.graph = graph;\n        this.compiledOrder = [];\n        this._weightMap = {};\n        this.placeholders = graph.placeholders;\n        this._outputs = graph.outputs;\n        this.compile();\n    }\n    Object.defineProperty(GraphExecutor.prototype, \"weightMap\", {\n        get: function () {\n            return this._weightMap;\n        },\n        set: function (weightMap) {\n            var weightIds = Object.keys(weightMap).map(function (key) { return weightMap[key].map(function (tensor) { return tensor.id; }); });\n            this.weightIds = [].concat.apply([], weightIds);\n            this._weightMap = weightMap;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"inputs\", {\n        get: function () {\n            return this.placeholders.map(function (node) {\n                return {\n                    name: node.name,\n                    shape: node.params['shape'] ? node.params['shape'].value :\n                        undefined,\n                    dtype: node.params['dtype'] ? node.params['dtype'].value :\n                        undefined\n                };\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"outputs\", {\n        get: function () {\n            return this._outputs.map(function (node) {\n                return {\n                    name: node.name,\n                    shape: node.params['shape'] ? node.params['shape'].value :\n                        undefined,\n                    dtype: node.params['dtype'] ? node.params['dtype'].value :\n                        undefined\n                };\n            });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"inputNodes\", {\n        get: function () {\n            return this.placeholders.map(function (node) { return node.name; });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"outputNodes\", {\n        get: function () {\n            return this.outputs.map(function (node) { return node.name; });\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(GraphExecutor.prototype, \"isControlFlowModel\", {\n        get: function () {\n            return this.graph.withControlFlow;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    GraphExecutor.prototype.compile = function () {\n        if (this.graph.withControlFlow) {\n            return;\n        }\n        var stack = this.graph.inputs.slice();\n        var visited = {};\n        while (stack.length > 0) {\n            var node = stack.pop();\n            visited[node.name] = true;\n            this.compiledOrder.push(node);\n            node.children.forEach(function (childNode) {\n                if (!visited[childNode.name] && childNode.inputNames.every(function (name) {\n                    var nodeName = getNodeNameAndIndex(name)[0];\n                    return visited[nodeName];\n                })) {\n                    stack.push(childNode);\n                }\n            });\n        }\n    };\n    GraphExecutor.prototype.execute = function (inputs, outputs) {\n        var _this = this;\n        this.checkInput(inputs);\n        this.checkInputShapeAndType(inputs);\n        var result = tidy(function () {\n            var context = new ExecutionContext(_this._weightMap);\n            var tensors = _this.compiledOrder.reduce(function (map, node) {\n                map[node.name] = executeOp(node, map, context);\n                return map;\n            }, __assign({}, _this.weightMap, inputs));\n            return _this.findOutputs(tensors, context, outputs);\n        });\n        return result;\n    };\n    GraphExecutor.prototype.executeAsync = function (inputs, outputs) {\n        return __awaiter(this, void 0, void 0, function () {\n            var _this = this;\n            var context, tensors, results, outputIds, inputIdArray, inputIds;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        this.checkInput(inputs);\n                        this.checkInputShapeAndType(inputs);\n                        context = new ExecutionContext(this._weightMap);\n                        return [4, this.executeWithControlFlow(inputs, context)];\n                    case 1:\n                        tensors = _a.sent();\n                        results = this.findOutputs(tensors, context, outputs);\n                        outputIds = Object.keys(results).map(function (key) { return results[key].id; });\n                        inputIdArray = Object.keys(inputs).map(function (key) { return inputs[key].map(function (input) { return input.id; }); });\n                        inputIds = [].concat.apply([], inputIdArray);\n                        Object.keys(tensors).forEach(function (key) {\n                            var tensorArray = tensors[key];\n                            tensorArray.forEach(function (tensor) {\n                                if (tensor && outputIds.indexOf(tensor.id) === -1 &&\n                                    inputIds.indexOf(tensor.id) === -1 &&\n                                    _this.weightIds.indexOf(tensor.id) === -1) {\n                                    tensor.dispose();\n                                }\n                            });\n                        });\n                        return [2, results];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.executeWithControlFlow = function (inputs, context) {\n        return __awaiter(this, void 0, void 0, function () {\n            var stack, tensorMap, added, item, tensors, nodeName, _a, _b;\n            return __generator(this, function (_c) {\n                switch (_c.label) {\n                    case 0:\n                        stack = this.graph.inputs.map(function (node) {\n                            return { node: node, contexts: context.currentContext };\n                        });\n                        tensorMap = __assign({}, this.weightMap, inputs);\n                        added = {};\n                        _c.label = 1;\n                    case 1:\n                        if (!(stack.length > 0)) return [3, 3];\n                        item = stack.pop();\n                        context.currentContext = item.contexts;\n                        tensors = executeOp(item.node, tensorMap, context);\n                        nodeName = getNodeNameAndIndex(item.node.name, context)[0];\n                        _a = tensorMap;\n                        _b = nodeName;\n                        return [4, tensors];\n                    case 2:\n                        _a[_b] = _c.sent();\n                        item.node.children.forEach(function (childNode) {\n                            var nodeName = getNodeNameAndIndex(childNode.name, context)[0];\n                            if (!added[nodeName]) {\n                                if (childNode.op === 'merge') {\n                                    if (childNode.inputNames.some(function (name) {\n                                        return !!getTensor(name, tensorMap, context);\n                                    })) {\n                                        added[nodeName] = true;\n                                        stack.push({ contexts: context.currentContext, node: childNode });\n                                    }\n                                }\n                                else if (childNode.inputNames.every(function (name) {\n                                    return !!getTensor(name, tensorMap, context);\n                                })) {\n                                    added[nodeName] = true;\n                                    stack.push({ contexts: context.currentContext, node: childNode });\n                                }\n                            }\n                        });\n                        return [3, 1];\n                    case 3: return [2, tensorMap];\n                }\n            });\n        });\n    };\n    GraphExecutor.prototype.findOutputs = function (tensorMap, context, outputs) {\n        if (outputs && !(outputs instanceof Array)) {\n            outputs = [outputs];\n        }\n        var requestedOutputs = (outputs || this.graph.outputs.map(function (node) { return node.name; }));\n        return requestedOutputs.reduce(function (map, name) {\n            map[name] = getTensor(name, tensorMap, context);\n            return map;\n        }, {});\n    };\n    GraphExecutor.prototype.dispose = function () {\n        var _this = this;\n        Object.keys(this.weightMap)\n            .forEach(function (key) { return _this.weightMap[key].forEach(function (tensor) { return tensor.dispose(); }); });\n    };\n    GraphExecutor.prototype.checkInputShapeAndType = function (inputs) {\n        this.placeholders.forEach(function (node) {\n            var input = inputs[node.name][0];\n            if (node.params['shape'] && node.params['shape'].value) {\n                var shape_1 = node.params['shape'].value;\n                var match = shape_1.length === input.shape.length &&\n                    input.shape.every(function (dim, index) { return shape_1[index] === -1 || shape_1[index] === dim; });\n                util.assert(match, \"The shape of dict['\" + node.name + \"'] provided in model.execute(dict) must be [\" + shape_1 + \"], but was [\" + input.shape + \"]\");\n            }\n            if (node.params['dtype'] && node.params['dtype'].value) {\n                util.assert(input.dtype === node.params['dtype'].value, \"The dtype of dict['\" + node.name + \"'] provided in model.execute(dict) must be \" + node.params['dtype'].value + \", but was \" + input.dtype);\n            }\n        });\n    };\n    GraphExecutor.prototype.checkInput = function (inputs) {\n        var _this = this;\n        var inputKeys = Object.keys(inputs);\n        var missing = [];\n        var extra = [];\n        this.inputNodes.forEach(function (name) {\n            if (inputKeys.indexOf(name) === -1)\n                missing.push(name);\n        });\n        inputKeys.forEach(function (name) {\n            if (_this.inputNodes.indexOf(name) === -1)\n                extra.push(name);\n        });\n        if (missing.length > 0) {\n            throw new Error(\"The dict provided in model.execute(dict) has the keys \" +\n                (\"[\" + inputKeys + \"], but is missing the required keys: [\" + missing + \"].\"));\n        }\n        if (extra.length > 0) {\n            throw new Error(\"The dict provided in model.execute(dict) has \" +\n                (\"unused keys: [\" + extra + \"]. Please provide only the following keys: \") +\n                (\"[\" + this.inputNodes + \"].\"));\n        }\n    };\n    return GraphExecutor;\n}());\nexport { GraphExecutor };\n//# sourceMappingURL=graph_executor.js.map","var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {\n    return new (P || (P = Promise))(function (resolve, reject) {\n        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }\n        function rejected(value) { try { step(generator[\"throw\"](value)); } catch (e) { reject(e); } }\n        function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }\n        step((generator = generator.apply(thisArg, _arguments || [])).next());\n    });\n};\nvar __generator = (this && this.__generator) || function (thisArg, body) {\n    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;\n    return g = { next: verb(0), \"throw\": verb(1), \"return\": verb(2) }, typeof Symbol === \"function\" && (g[Symbol.iterator] = function() { return this; }), g;\n    function verb(n) { return function (v) { return step([n, v]); }; }\n    function step(op) {\n        if (f) throw new TypeError(\"Generator is already executing.\");\n        while (_) try {\n            if (f = 1, y && (t = y[op[0] & 2 ? \"return\" : op[0] ? \"throw\" : \"next\"]) && !(t = t.call(y, op[1])).done) return t;\n            if (y = 0, t) op = [0, t.value];\n            switch (op[0]) {\n                case 0: case 1: t = op; break;\n                case 4: _.label++; return { value: op[1], done: false };\n                case 5: _.label++; y = op[1]; op = [0]; continue;\n                case 7: op = _.ops.pop(); _.trys.pop(); continue;\n                default:\n                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }\n                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }\n                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }\n                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }\n                    if (t[2]) _.ops.pop();\n                    _.trys.pop(); continue;\n            }\n            op = body.call(thisArg, _);\n        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }\n        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };\n    }\n};\nimport * as tfc from '@tensorflow/tfjs-core';\nimport * as Url from 'url';\nimport { tensorflow } from '../data/compiled_api';\nimport { OperationMapper } from '../operations/operation_mapper';\nimport { GraphExecutor } from './graph_executor';\nvar FrozenModel = (function () {\n    function FrozenModel(modelUrl, weightManifestUrl, requestOption) {\n        this.modelUrl = modelUrl;\n        this.weightManifestUrl = weightManifestUrl;\n        this.requestOption = requestOption;\n        this.version = 'n/a';\n        this.pathPrefix = this.getPathPrefix();\n    }\n    Object.defineProperty(FrozenModel.prototype, \"modelVersion\", {\n        get: function () {\n            return this.version;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(FrozenModel.prototype, \"inputNodes\", {\n        get: function () {\n            return this.executor.inputNodes;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(FrozenModel.prototype, \"outputNodes\", {\n        get: function () {\n            return this.executor.outputNodes;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(FrozenModel.prototype, \"inputs\", {\n        get: function () {\n            return this.executor.inputs;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    Object.defineProperty(FrozenModel.prototype, \"outputs\", {\n        get: function () {\n            return this.executor.outputs;\n        },\n        enumerable: true,\n        configurable: true\n    });\n    FrozenModel.prototype.getPathPrefix = function () {\n        var url = Url.parse(this.weightManifestUrl);\n        var segments = url.pathname.split('/');\n        segments.splice(-1);\n        url.pathname = segments.join('/');\n        return Url.format(url) + '/';\n    };\n    FrozenModel.prototype.loadRemoteProtoFile = function () {\n        return __awaiter(this, void 0, void 0, function () {\n            var response, _a, _b, _c, error_1;\n            return __generator(this, function (_d) {\n                switch (_d.label) {\n                    case 0:\n                        _d.trys.push([0, 3, , 4]);\n                        return [4, fetch(this.modelUrl, this.requestOption)];\n                    case 1:\n                        response = _d.sent();\n                        _b = (_a = tensorflow.GraphDef).decode;\n                        _c = Uint8Array.bind;\n                        return [4, response.arrayBuffer()];\n                    case 2: return [2, _b.apply(_a, [new (_c.apply(Uint8Array, [void 0, _d.sent()]))()])];\n                    case 3:\n                        error_1 = _d.sent();\n                        throw new Error(this.modelUrl + \" not found. \" + error_1);\n                    case 4: return [2];\n                }\n            });\n        });\n    };\n    FrozenModel.prototype.loadWeightManifest = function () {\n        return __awaiter(this, void 0, void 0, function () {\n            var manifest, _a, error_2;\n            return __generator(this, function (_b) {\n                switch (_b.label) {\n                    case 0:\n                        _b.trys.push([0, 3, , 4]);\n                        return [4, fetch(this.weightManifestUrl, this.requestOption)];\n                    case 1:\n                        manifest = _b.sent();\n                        _a = this;\n                        return [4, manifest.clone().json()];\n                    case 2:\n                        _a.weightManifest = _b.sent();\n                        return [3, 4];\n                    case 3:\n                        error_2 = _b.sent();\n                        throw new Error(this.weightManifestUrl + \" not found. \" + error_2);\n                    case 4: return [2];\n                }\n            });\n        });\n    };\n    FrozenModel.prototype.load = function () {\n        return __awaiter(this, void 0, void 0, function () {\n            var graphPromise, manifestPromise, graph, weightMap;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        graphPromise = this.loadRemoteProtoFile();\n                        manifestPromise = this.loadWeightManifest();\n                        return [4, Promise.all([graphPromise, manifestPromise])];\n                    case 1:\n                        graph = (_a.sent())[0];\n                        this.version = graph.versions.producer + \".\" + graph.versions.minConsumer;\n                        return [4, tfc.io.loadWeights(this.weightManifest, this.pathPrefix, undefined, this.requestOption)];\n                    case 2:\n                        weightMap = _a.sent();\n                        this.executor =\n                            new GraphExecutor(OperationMapper.Instance.transformGraph(graph));\n                        this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n                        return [2, true];\n                }\n            });\n        });\n    };\n    FrozenModel.prototype.predict = function (inputs, config) {\n        return this.execute(inputs, this.outputNodes);\n    };\n    FrozenModel.prototype.constructTensorMap = function (inputs) {\n        var inputArray = inputs instanceof tfc.Tensor ? [inputs] : inputs;\n        if (inputArray.length !== this.inputNodes.length) {\n            throw new Error('Input tensor count mismatch,' +\n                (\"the frozen model has \" + this.inputNodes.length + \" placeholders, \") +\n                (\"while there are \" + inputArray.length + \" input tensors.\"));\n        }\n        return this.inputNodes.reduce(function (map, inputName, i) {\n            map[inputName] = inputArray[i];\n            return map;\n        }, {});\n    };\n    FrozenModel.prototype.execute = function (inputs, outputs) {\n        outputs = outputs || this.outputNodes;\n        if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {\n            inputs = this.constructTensorMap(inputs);\n        }\n        if (this.executor.isControlFlowModel) {\n            throw new Error('The model contains control flow ops, ' +\n                'please use executeAsync method');\n        }\n        var result = this.executor.execute(this.convertTensorMapToTensorsMap(inputs), outputs);\n        var keys = Object.keys(result);\n        return (Array.isArray(outputs) && outputs.length > 1) ?\n            outputs.map(function (node) { return result[node]; }) :\n            result[keys[0]];\n    };\n    FrozenModel.prototype.executeAsync = function (inputs, outputs) {\n        return __awaiter(this, void 0, void 0, function () {\n            var result, keys;\n            return __generator(this, function (_a) {\n                switch (_a.label) {\n                    case 0:\n                        if (!this.executor.isControlFlowModel) {\n                            throw new Error('The model does not contain control flow ops, ' +\n                                'please use execute method for better performance.');\n                        }\n                        outputs = outputs || this.outputNodes;\n                        if (inputs instanceof tfc.Tensor || Array.isArray(inputs)) {\n                            inputs = this.constructTensorMap(inputs);\n                        }\n                        return [4, this.executor.executeAsync(this.convertTensorMapToTensorsMap(inputs), outputs)];\n                    case 1:\n                        result = _a.sent();\n                        keys = Object.keys(result);\n                        return [2, Array.isArray(outputs) && outputs.length > 1 ?\n                                outputs.map(function (node) { return result[node]; }) :\n                                result[keys[0]]];\n                }\n            });\n        });\n    };\n    FrozenModel.prototype.convertTensorMapToTensorsMap = function (map) {\n        return Object.keys(map).reduce(function (newMap, key) {\n            newMap[key] = [map[key]];\n            return newMap;\n        }, {});\n    };\n    FrozenModel.prototype.dispose = function () {\n        this.executor.dispose();\n    };\n    return FrozenModel;\n}());\nexport { FrozenModel };\nexport function loadFrozenModel(modelUrl, weightsManifestUrl, requestOption) {\n    return __awaiter(this, void 0, void 0, function () {\n        var model;\n        return __generator(this, function (_a) {\n            switch (_a.label) {\n                case 0:\n                    model = new FrozenModel(modelUrl, weightsManifestUrl, requestOption);\n                    return [4, model.load()];\n                case 1:\n                    _a.sent();\n                    return [2, model];\n            }\n        });\n    });\n}\n//# sourceMappingURL=frozen_model.js.map","var version = '0.4.3';\nexport { version };\n//# sourceMappingURL=version.js.map","export { FrozenModel, loadFrozenModel } from './executor/frozen_model';\nexport { version as version_converter } from './version';\n//# sourceMappingURL=index.js.map","// @tensorflow/tfjs Copyright 2018 Google\nimport{version_core}from\"@tensorflow/tfjs-core\";export*from\"@tensorflow/tfjs-core\";import{version_layers}from\"@tensorflow/tfjs-layers\";export*from\"@tensorflow/tfjs-layers\";import{version_converter}from\"@tensorflow/tfjs-converter\";export*from\"@tensorflow/tfjs-converter\";var version=\"0.11.7\",version$1={\"tfjs-core\":version_core,\"tfjs-layers\":version_layers,\"tfjs-converter\":version_converter,tfjs:version};export{version$1 as version};\n","import * as tf from '@tensorflow/tfjs';\n\nconsole.log(\"HELLO I AM HERE\");\n\nconst model = tf.loadModel('tfjs/model.json');  \nvar x = \"/krestik.gif\";\nvar o = \"/nolik.gif\";\nvar blank = \"/blank.jpg\";\nvar pause = 0;\nvar all = 0;\nvar a = 0;\nvar b = 0;\nvar c = 0;\nvar d = 0;\nvar e = 0;\nvar f = 0;\nvar g = 0;\nvar h = 0;\nvar i = 0;  \nvar temp=\"\";\nvar ok = 0;\nvar cf = 0;\nvar choice=9;\nvar aRandomNumber = 0;\nvar comp = 0; \nvar t = 0;\nvar wn = 0;\nvar ls = 0;\nvar ts = 0;\nfunction logicOne() {\n  if ((a==1)&&(b==1)&&(c==1)) all=1;\n  if ((a==1)&&(d==1)&&(g==1)) all=1;\n  if ((a==1)&&(e==1)&&(i==1)) all=1;\n  if ((b==1)&&(e==1)&&(h==1)) all=1;\n  if ((d==1)&&(e==1)&&(f==1)) all=1;\n  if ((g==1)&&(h==1)&&(i==1)) all=1;\n  if ((c==1)&&(f==1)&&(i==1)) all=1;\n  if ((g==1)&&(e==1)&&(c==1)) all=1;\n  if ((a==2)&&(b==2)&&(c==2)) all=2;\n  if ((a==2)&&(d==2)&&(g==2)) all=2;\n  if ((a==2)&&(e==2)&&(i==2)) all=2;\n  if ((b==2)&&(e==2)&&(h==2)) all=2;\n  if ((d==2)&&(e==2)&&(f==2)) all=2;\n  if ((g==2)&&(h==2)&&(i==2)) all=2;\n  if ((c==2)&&(f==2)&&(i==2)) all=2;\n  if ((g==2)&&(e==2)&&(c==2)) all=2;\n  if ((a != 0)&&(b != 0)&&(c != 0)&&(d != 0)&&(e != 0)&&(f != 0)&&(g != 0)&&(h != 0)&&(i != 0)&&(all == 0)) all = 3;\n} \nfunction logicTwo() {\n  if ((a==2)&&(b==2)&&(c== 0)&&(temp==\"\")) temp=\"C\";\n  if ((a==2)&&(b== 0)&&(c==2)&&(temp==\"\")) temp=\"B\";\n  if ((a== 0)&&(b==2)&&(c==2)&&(temp==\"\")) temp=\"A\";\n  if ((a==2)&&(d==2)&&(g== 0)&&(temp==\"\")) temp=\"G\";\n  if ((a==2)&&(d== 0)&&(g==2)&&(temp==\"\")) temp=\"D\";\n  if ((a== 0)&&(d==2)&&(g==2)&&(temp==\"\")) temp=\"A\";\n  if ((a==2)&&(e==2)&&(i== 0)&&(temp==\"\")) temp=\"I\";\n  if ((a==2)&&(e== 0)&&(i==2)&&(temp==\"\")) temp=\"E\";\n  if ((a== 0)&&(e==2)&&(i==2)&&(temp==\"\")) temp=\"A\";\n  if ((b==2)&&(e==2)&&(h== 0)&&(temp==\"\")) temp=\"H\";\n  if ((b==2)&&(e== 0)&&(h==2)&&(temp==\"\")) temp=\"E\";\n  if ((b== 0)&&(e==2)&&(h==2)&&(temp==\"\")) temp=\"B\";\n  if ((d==2)&&(e==2)&&(f== 0)&&(temp==\"\")) temp=\"F\";\n  if ((d==2)&&(e== 0)&&(f==2)&&(temp==\"\")) temp=\"E\";\n  if ((d== 0)&&(e==2)&&(f==2)&&(temp==\"\")) temp=\"D\";\n  if ((g==2)&&(h==2)&&(i== 0)&&(temp==\"\")) temp=\"I\";\n  if ((g==2)&&(h== 0)&&(i==2)&&(temp==\"\")) temp=\"H\";\n  if ((g== 0)&&(h==2)&&(i==2)&&(temp==\"\")) temp=\"G\";\n  if ((c==2)&&(f==2)&&(i== 0)&&(temp==\"\")) temp=\"I\";\n  if ((c==2)&&(f== 0)&&(i==2)&&(temp==\"\")) temp=\"F\";\n  if ((c== 0)&&(f==2)&&(i==2)&&(temp==\"\")) temp=\"C\";\n  if ((g==2)&&(e==2)&&(c== 0)&&(temp==\"\")) temp=\"C\";\n  if ((g==2)&&(e== 0)&&(c==2)&&(temp==\"\")) temp=\"E\";\n  if ((g== 0)&&(e==2)&&(c==2)&&(temp==\"\")) temp=\"G\";\n}\nfunction logicThree() {\n  if ((a==1)&&(b==1)&&(c==0)&&(temp==\"\")) temp=\"C\";\n  if ((a==1)&&(b==0)&&(c==1)&&(temp==\"\")) temp=\"B\";\n  if ((a==0)&&(b==1)&&(c==1)&&(temp==\"\")) temp=\"A\";\n  if ((a==1)&&(d==1)&&(g==0)&&(temp==\"\")) temp=\"G\";\n  if ((a==1)&&(d==0)&&(g==1)&&(temp==\"\")) temp=\"D\";\n  if ((a==0)&&(d==1)&&(g==1)&&(temp==\"\")) temp=\"A\";\n  if ((a==1)&&(e==1)&&(i==0)&&(temp==\"\")) temp=\"I\";\n  if ((a==1)&&(e==0)&&(i==1)&&(temp==\"\")) temp=\"E\";\n  if ((a==0)&&(e==1)&&(i==1)&&(temp==\"\")) temp=\"A\";\n  if ((b==1)&&(e==1)&&(h==0)&&(temp==\"\")) temp=\"H\";\n  if ((b==1)&&(e==0)&&(h==1)&&(temp==\"\")) temp=\"E\";\n  if ((b==0)&&(e==1)&&(h==1)&&(temp==\"\")) temp=\"B\";\n  if ((d==1)&&(e==1)&&(f==0)&&(temp==\"\")) temp=\"F\";\n  if ((d==1)&&(e==0)&&(f==1)&&(temp==\"\")) temp=\"E\";\n  if ((d==0)&&(e==1)&&(f==1)&&(temp==\"\")) temp=\"D\";\n  if ((g==1)&&(h==1)&&(i==0)&&(temp==\"\")) temp=\"I\";\n  if ((g==1)&&(h==0)&&(i==1)&&(temp==\"\")) temp=\"H\";\n  if ((g==0)&&(h==1)&&(i==1)&&(temp==\"\")) temp=\"G\";\n  if ((c==1)&&(f==1)&&(i==0)&&(temp==\"\")) temp=\"I\";\n  if ((c==1)&&(f==0)&&(i==1)&&(temp==\"\")) temp=\"F\";\n  if ((c==0)&&(f==1)&&(i==1)&&(temp==\"\")) temp=\"C\";\n  if ((g==1)&&(e==1)&&(c==0)&&(temp==\"\")) temp=\"C\";\n  if ((g==1)&&(e==0)&&(c==1)&&(temp==\"\")) temp=\"E\";\n  if ((g==0)&&(e==1)&&(c==1)&&(temp==\"\")) temp=\"G\";\n}\nfunction clearOut() {\n  document.game.you.value=\"0\";\n  document.game.computer.value=\"0\";\n  document.game.ties.value=\"0\";\n}\nfunction checkSpace() {\n  if ((temp==\"A\")&&(a==0)) {\n    ok=1;\n    if (cf==0) a=1;\n    if (cf==1) a=2;\n  }\n  if ((temp==\"B\")&&(b==0)) {\n    ok=1;\n    if (cf==0) b=1;\n    if (cf==1) b=2;\n  }\n  if ((temp==\"C\")&&(c==0)) {\n    ok=1;\n    if (cf==0) c=1;\n    if (cf==1) c=2;\n  }\n  if ((temp==\"D\")&&(d==0)) {\n    ok=1;\n    if (cf==0) d=1;\n    if (cf==1) d=2;\n  }\n  if ((temp==\"E\")&&(e==0)) {\n    ok=1;\n    if (cf==0) e=1;\n    if (cf==1) e=2;\n  }\n  if ((temp==\"F\")&&(f==0)) {\n    ok=1\n    if (cf==0) f=1;\n    if (cf==1) f=2;\n  }\n  if ((temp==\"G\")&&(g==0)) {\n    ok=1\n    if (cf==0) g=1;\n    if (cf==1) g=2;\n  }\n  if ((temp==\"H\")&&(h==0)) {\n    ok=1;\n    if (cf==0) h=1;\n    if (cf==1) h=2;\n  }\n  if ((temp==\"I\")&&(i==0)) {\n    ok=1;\n    if (cf==0) i=1; \n    if (cf==1) i=2; \n  }\n}\nfunction yourChoice(chName) {\n  pause = 0;\n  if (all!=0) ended();\n  if (all==0) {\n    cf = 0;\n    ok = 0;\n    temp=chName;\n    checkSpace();\n    if (ok==1) {\n      document.images[chName].src = x;\n    }\n    if (ok==0)taken();\n    process();\n    if ((all==0)&&(pause==0)) myChoice();\n  }\n}\nfunction taken() {\n  alert(\"This cell in not empty! Try another\")\n  pause=1;\n}\nfunction myChoice() {\n  temp=\"\";\n  ok = 0;\n  cf=1;\n  logicTwo();\n  logicThree();\n  checkSpace();\n  while(ok==0) {\n    aRandomNumber=Math.random()\n    comp=Math.round((choice-1)*aRandomNumber)+1;\n    if (comp==1) temp=\"A\";\n    if (comp==2) temp=\"B\";\n    if (comp==3) temp=\"C\";\n    if (comp==4) temp=\"D\";\n    if (comp==5) temp=\"E\";\n    if (comp==6) temp=\"F\";\n    if (comp==7) temp=\"G\";\n    if (comp==8) temp=\"H\";\n    if (comp==9) temp=\"I\";\n    checkSpace();\n  }\n  document.images[temp].src= o;\n  process();\n}\nfunction ended() {\n  alert(\"Game over! To play once more press a button 'New Game'\")\n}\nfunction process() {\n  logicOne();\n  if (all==1){ alert(\"You win!\"); wn++; }\n  if (all==2){ alert(\"You lose!\"); ls++; }\n  if (all==3){ alert(\"Draw!\"); ts++; }\n  if (all!=0) {\n    document.game.you.value = wn;\n    document.game.computer.value = ls;\n    document.game.ties.value = ts;\n  }\n}\nfunction playAgain() {\n  if (all==0) {\n    if(confirm(\"Âû óâåðåíû ?\")) reset();\n  }\n  if (all>0) reset();\n}\nfunction reset() {\n  all = 0;\n  a = 0;\n  b = 0;\n  c = 0;\n  d = 0;\n  e = 0;\n  f = 0;\n  g = 0;\n  h = 0;\n  i = 0;\n  temp=\"\";\n  ok = 0;\n  cf = 0;\n  choice=9;\n  aRandomNumber = 0;\n  comp = 0;\n  document.images.A.src= blank;\n  document.images.B.src= blank;\n  document.images.C.src= blank;\n  document.images.D.src= blank;\n  document.images.E.src= blank;\n  document.images.F.src= blank;\n  document.images.G.src= blank;\n  document.images.H.src= blank;\n  document.images.I.src= blank;\n  if (t==0) { t=2; myChoice(); }\n  t--;\n}\nvar ie4 = (document.all) ? true : false;\nvar nn4 = (document.layers) ? true : false;\n\ndocument.getElementById(\"A\").onclick = function() {yourChoice('A')};\ndocument.getElementById(\"B\").onclick = function() {yourChoice('B')};\ndocument.getElementById(\"C\").onclick = function() {yourChoice('C')};\ndocument.getElementById(\"D\").onclick = function() {yourChoice('D')};\ndocument.getElementById(\"E\").onclick = function() {yourChoice('E')};\ndocument.getElementById(\"F\").onclick = function() {yourChoice('F')};\ndocument.getElementById(\"G\").onclick = function() {yourChoice('G')};\ndocument.getElementById(\"H\").onclick = function() {yourChoice('H')};\ndocument.getElementById(\"I\").onclick = function() {yourChoice('I')};\ndocument.getElementById(\"button\").onclick = function() {playAgain()};\n\n// async function setupMnistTransferCNN() {\n//   const button = document.getElementById('load-pretrained-remote');\n//   button.addEventListener('click', async () => {\n//       yourChoice('A')\n//   });\n// }\n\n// setupMnistTransferCNN();"]}
\ No newline at end of file
diff --git a/tictac/dist/blank.b78abb55.jpg b/tictac/dist/blank.b78abb55.jpg
new file mode 100644
index 00000000..ef31a61d
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diff --git a/tictac/dist/blank.jpg b/tictac/dist/blank.jpg
new file mode 100644
index 00000000..ef31a61d
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diff --git a/tictac/dist/index.html b/tictac/dist/index.html
new file mode 100644
index 00000000..544ed71f
--- /dev/null
+++ b/tictac/dist/index.html
@@ -0,0 +1,54 @@
+<script src="/backend.9717565c.js" defer=""></script> 
+<img border="0" height="0" src="/krestik.089b9630.gif" width="0">
+<img border="0" height="0" src="/nolik.ee24aeae.gif" width="0">
+
+<form name="game">
+<div align="center"><center><table border="0">
+<TBODY>
+<tr>
+<td><table border="1" bordercolor="#000000" cellpadding="0" cellspacing="0">
+<TBODY>
+<tr>
+<td><a id="A"><img border="0" height="61" name="A" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="B"><img border="0" height="61" name="B" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="C"><img border="0" height="61" name="C" src="/blank.b78abb55.jpg" width="56"></a></td>
+</tr>
+<tr>
+<td><a id="D"><img border="0" height="61" name="D" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="E"><img border="0" height="61" name="E" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="F"><img border="0" height="61" name="F" src="/blank.b78abb55.jpg" width="56"></a></td>
+</tr>
+<tr>
+<td><a id="G"><img border="0" height="61" name="G" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="H"><img border="0" height="61" name="H" src="/blank.b78abb55.jpg" width="56"></a></td>
+<td><a id="I"><img border="0" height="61" name="I" src="/blank.b78abb55.jpg" width="56"></a></td>
+</tr>
+</TBODY>
+</table>
+</td>
+<td><table>
+<TBODY>
+<tr colspan="2">
+<td><font face="MS Sans Serif" size="1"><b>Score:</b></font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="you" size="5" style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">You</font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="computer" size="5" style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">Computer</font></td>
+</tr>
+<tr>
+<td><font face="MS Sans Serif" size="1"><input name="ties" size="5" style="font-family: MS Sans Serif; font-size: 1"></font></td>
+<td><font face="MS Sans Serif" size="1">Draw</font></td>
+</tr>
+</TBODY>
+</table>
+</td>
+</tr>
+</TBODY>
+</table>
+</center></div><div align="center"><center><p><input id="button" value="New Game" style="font-family: MS Sans Serif; font-size: 1; font-weight: bold"> </p>
+</center></div>
+</form>
\ No newline at end of file
diff --git a/tictac/dist/krestik.089b9630.gif b/tictac/dist/krestik.089b9630.gif
new file mode 100644
index 00000000..77c7eeba
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diff --git a/tictac/dist/krestik.gif b/tictac/dist/krestik.gif
new file mode 100644
index 00000000..77c7eeba
Binary files /dev/null and b/tictac/dist/krestik.gif differ
diff --git a/tictac/dist/model.json b/tictac/dist/model.json
new file mode 100644
index 00000000..ac5b0946
--- /dev/null
+++ b/tictac/dist/model.json
@@ -0,0 +1 @@
+{"modelTopology": {"backend": "tensorflow", "training_config": {"optimizer_config": {"class_name": "SGD", "config": {"nesterov": false, "decay": 0.0, "lr": 0.10000000149011612, "momentum": 0.8999999761581421}}, "loss_weights": {"policy_head": 0.5, "value_head": 0.5}, "sample_weight_mode": null, "loss": {"policy_head": "softmax_cross_entropy_with_logits", "value_head": "mean_squared_error"}, "metrics": null}, "keras_version": "2.1.2", "model_config": {"class_name": "Model", "config": {"output_layers": [["value_head", 0, 0], ["policy_head", 0, 0]], "name": "model_2", "input_layers": [["main_input", 0, 0]], "layers": [{"inbound_nodes": [], "class_name": "InputLayer", "name": "main_input", "config": {"dtype": "float32", "batch_input_shape": [null, 2, 3, 3], "name": "main_input", "sparse": false}}, {"inbound_nodes": [[["main_input", 0, 0, {}]]], "class_name": "Conv2D", "name": "conv2d_14", "config": {"trainable": true, "activation": "linear", "bias_regularizer": null, "strides": [1, 1], "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "padding": "same", "filters": 75, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"seed": null, "mode": "fan_avg", "scale": 1.0, "distribution": "uniform"}}, "name": "conv2d_14", "activity_regularizer": null, "data_format": "channels_first", "use_bias": false, "kernel_size": [4, 4], "dilation_rate": [1, 1], "kernel_constraint": null}}, {"inbound_nodes": [[["conv2d_14", 0, 0, {}]]], "class_name": "BatchNormalization", "name": "batch_normalization_14", "config": {"trainable": true, "epsilon": 0.001, "beta_regularizer": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "gamma_constraint": null, "gamma_regularizer": null, "axis": 1, "name": "batch_normalization_14", "gamma_initializer": {"class_name": "Ones", "config": {}}, "beta_constraint": null, "scale": true, "center": true}}, {"inbound_nodes": [[["batch_normalization_14", 0, 0, {}]]], "class_name": "LeakyReLU", "name": "leaky_re_lu_15", "config": {"trainable": true, "alpha": 0.30000001192092896, "name": "leaky_re_lu_15"}}, {"inbound_nodes": [[["leaky_re_lu_15", 0, 0, {}]]], "class_name": "Conv2D", "name": "conv2d_15", "config": {"trainable": true, "activation": "linear", "bias_regularizer": null, "strides": [1, 1], "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 9.999999747378752e-05}}, "padding": "same", "filters": 75, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"seed": null, "mode": "fan_avg", "scale": 1.0, "distribution": "uniform"}}, "name": "conv2d_15", "activity_regularizer": null, "data_format": 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+<script src="backend.js" defer></script> 
+<img border="0" height="0"
+src="krestik.gif" width="0">
+<img border="0" height="0"
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+<td><table>
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+</tr>
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+</center></div><div align="center"><center><p><input id ="button"
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+style="font-family: MS Sans Serif; font-size: 1; font-weight: bold"> </p>
+</center></div>
+</form>
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diff --git a/tictac/package.json b/tictac/package.json
new file mode 100644
index 00000000..ff7c876f
--- /dev/null
+++ b/tictac/package.json
@@ -0,0 +1,27 @@
+{
+  "name": "tictac",
+  "version": "0.1.0",
+  "description": "",
+  "main": "backend.js",
+  "license": "Apache-2.0",
+  "private": true,
+  "engines": {
+    "node": ">=8.9.0"
+  },
+  "dependencies": {
+    "@tensorflow/tfjs": "^0.11.7"
+  },
+  "scripts": {
+    "watch": "cross-env NODE_ENV=development parcel index.html --no-hmr --open",
+    "build": "cross-env NODE_ENV=production parcel build index.html --no-minify --public-url ./",
+    "postinstall": "yarn upgrade --pattern @tensorflow"
+  },
+  "devDependencies": {
+    "babel-plugin-transform-runtime": "~6.23.0",
+    "babel-polyfill": "~6.26.0",
+    "babel-preset-env": "~1.6.1",
+    "clang-format": "~1.2.2",
+    "cross-env": "^5.1.6",
+    "parcel-bundler": "~1.8.1"
+  }
+}
diff --git a/tictac/yarn.lock b/tictac/yarn.lock
new file mode 100644
index 00000000..188cd9cb
--- /dev/null
+++ b/tictac/yarn.lock
@@ -0,0 +1,3739 @@
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+  resolved "https://registry.yarnpkg.com/are-we-there-yet/-/are-we-there-yet-1.1.5.tgz#4b35c2944f062a8bfcda66410760350fe9ddfc21"
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+    readable-stream "^2.0.6"
+
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+  version "1.0.10"
+  resolved "https://registry.yarnpkg.com/argparse/-/argparse-1.0.10.tgz#bcd6791ea5ae09725e17e5ad988134cd40b3d911"
+  dependencies:
+    sprintf-js "~1.0.2"
+
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+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/arr-diff/-/arr-diff-4.0.0.tgz#d6461074febfec71e7e15235761a329a5dc7c520"
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+  resolved "https://registry.yarnpkg.com/arr-flatten/-/arr-flatten-1.1.0.tgz#36048bbff4e7b47e136644316c99669ea5ae91f1"
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+  resolved "https://registry.yarnpkg.com/arr-union/-/arr-union-3.1.0.tgz#e39b09aea9def866a8f206e288af63919bae39c4"
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+  resolved "https://registry.yarnpkg.com/array-unique/-/array-unique-0.3.2.tgz#a894b75d4bc4f6cd679ef3244a9fd8f46ae2d428"
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+    inherits "^2.0.1"
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+
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+  version "1.4.1"
+  resolved "https://registry.yarnpkg.com/assert/-/assert-1.4.1.tgz#99912d591836b5a6f5b345c0f07eefc08fc65d91"
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+  resolved "https://registry.yarnpkg.com/assign-symbols/-/assign-symbols-1.0.0.tgz#59667f41fadd4f20ccbc2bb96b8d4f7f78ec0367"
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+  resolved "https://registry.yarnpkg.com/async-each/-/async-each-1.0.1.tgz#19d386a1d9edc6e7c1c85d388aedbcc56d33602d"
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+  resolved "https://registry.yarnpkg.com/async-limiter/-/async-limiter-1.0.0.tgz#78faed8c3d074ab81f22b4e985d79e8738f720f8"
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+  version "1.5.2"
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+  resolved "https://registry.yarnpkg.com/babel-code-frame/-/babel-code-frame-6.26.0.tgz#63fd43f7dc1e3bb7ce35947db8fe369a3f58c74b"
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+    babel-runtime "^6.22.0"
+    babel-types "^6.24.1"
+
+babel-plugin-transform-es2015-template-literals@^6.22.0:
+  version "6.22.0"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-es2015-template-literals/-/babel-plugin-transform-es2015-template-literals-6.22.0.tgz#a84b3450f7e9f8f1f6839d6d687da84bb1236d8d"
+  dependencies:
+    babel-runtime "^6.22.0"
+
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+  version "6.23.0"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-es2015-typeof-symbol/-/babel-plugin-transform-es2015-typeof-symbol-6.23.0.tgz#dec09f1cddff94b52ac73d505c84df59dcceb372"
+  dependencies:
+    babel-runtime "^6.22.0"
+
+babel-plugin-transform-es2015-unicode-regex@^6.22.0:
+  version "6.24.1"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-es2015-unicode-regex/-/babel-plugin-transform-es2015-unicode-regex-6.24.1.tgz#d38b12f42ea7323f729387f18a7c5ae1faeb35e9"
+  dependencies:
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+    babel-runtime "^6.22.0"
+    regexpu-core "^2.0.0"
+
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+  version "6.24.1"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-exponentiation-operator/-/babel-plugin-transform-exponentiation-operator-6.24.1.tgz#2ab0c9c7f3098fa48907772bb813fe41e8de3a0e"
+  dependencies:
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+    babel-plugin-syntax-exponentiation-operator "^6.8.0"
+    babel-runtime "^6.22.0"
+
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+  version "6.24.1"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-react-jsx/-/babel-plugin-transform-react-jsx-6.24.1.tgz#840a028e7df460dfc3a2d29f0c0d91f6376e66a3"
+  dependencies:
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+    babel-plugin-syntax-jsx "^6.8.0"
+    babel-runtime "^6.22.0"
+
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+  version "6.26.0"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-regenerator/-/babel-plugin-transform-regenerator-6.26.0.tgz#e0703696fbde27f0a3efcacf8b4dca2f7b3a8f2f"
+  dependencies:
+    regenerator-transform "^0.10.0"
+
+babel-plugin-transform-runtime@~6.23.0:
+  version "6.23.0"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-runtime/-/babel-plugin-transform-runtime-6.23.0.tgz#88490d446502ea9b8e7efb0fe09ec4d99479b1ee"
+  dependencies:
+    babel-runtime "^6.22.0"
+
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+  version "6.24.1"
+  resolved "https://registry.yarnpkg.com/babel-plugin-transform-strict-mode/-/babel-plugin-transform-strict-mode-6.24.1.tgz#d5faf7aa578a65bbe591cf5edae04a0c67020758"
+  dependencies:
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+    babel-types "^6.24.1"
+
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+  version "6.26.0"
+  resolved "https://registry.yarnpkg.com/babel-polyfill/-/babel-polyfill-6.26.0.tgz#379937abc67d7895970adc621f284cd966cf2153"
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+    core-js "^2.5.0"
+    regenerator-runtime "^0.10.5"
+
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+  version "1.7.0"
+  resolved "https://registry.yarnpkg.com/babel-preset-env/-/babel-preset-env-1.7.0.tgz#dea79fa4ebeb883cd35dab07e260c1c9c04df77a"
+  dependencies:
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+    babel-plugin-transform-async-to-generator "^6.22.0"
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+    semver "^5.3.0"
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+  resolved "https://registry.yarnpkg.com/babel-preset-env/-/babel-preset-env-1.6.1.tgz#a18b564cc9b9afdf4aae57ae3c1b0d99188e6f48"
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+    babel-plugin-transform-async-to-generator "^6.22.0"
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+    semver "^5.3.0"
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+  resolved "https://registry.yarnpkg.com/babel-register/-/babel-register-6.26.0.tgz#6ed021173e2fcb486d7acb45c6009a856f647071"
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+    lodash "^4.17.4"
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+
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+  version "6.26.0"
+  resolved "https://registry.yarnpkg.com/babel-runtime/-/babel-runtime-6.26.0.tgz#965c7058668e82b55d7bfe04ff2337bc8b5647fe"
+  dependencies:
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+    regenerator-runtime "^0.11.0"
+
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+  version "6.26.0"
+  resolved "https://registry.yarnpkg.com/babel-template/-/babel-template-6.26.0.tgz#de03e2d16396b069f46dd9fff8521fb1a0e35e02"
+  dependencies:
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+    lodash "^4.17.4"
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+  version "6.26.0"
+  resolved "https://registry.yarnpkg.com/babel-traverse/-/babel-traverse-6.26.0.tgz#46a9cbd7edcc62c8e5c064e2d2d8d0f4035766ee"
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+  resolved "https://registry.yarnpkg.com/babel-types/-/babel-types-6.26.0.tgz#a3b073f94ab49eb6fa55cd65227a334380632497"
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+  resolved "https://registry.yarnpkg.com/babylon-walk/-/babylon-walk-1.0.2.tgz#3b15a5ddbb482a78b4ce9c01c8ba181702d9d6ce"
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+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.0.tgz#89b4d199ab2bee49de164ea02b89ce462d71b767"
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+  resolved "https://registry.yarnpkg.com/base64-js/-/base64-js-1.3.0.tgz#cab1e6118f051095e58b5281aea8c1cd22bfc0e3"
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+  resolved "https://registry.yarnpkg.com/base/-/base-0.11.2.tgz#7bde5ced145b6d551a90db87f83c558b4eb48a8f"
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+  resolved "https://registry.yarnpkg.com/brfs/-/brfs-1.6.1.tgz#b78ce2336d818e25eea04a0947cba6d4fb8849c3"
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+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/browserify-cipher/-/browserify-cipher-1.0.1.tgz#8d6474c1b870bfdabcd3bcfcc1934a10e94f15f0"
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+    evp_bytestokey "^1.0.0"
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+  resolved "https://registry.yarnpkg.com/browserify-des/-/browserify-des-1.0.1.tgz#3343124db6d7ad53e26a8826318712bdc8450f9c"
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+    escape-string-regexp "^1.0.2"
+    has-ansi "^2.0.0"
+    strip-ansi "^3.0.0"
+    supports-color "^2.0.0"
+
+chalk@^2.1.0, chalk@^2.4.1:
+  version "2.4.1"
+  resolved "https://registry.yarnpkg.com/chalk/-/chalk-2.4.1.tgz#18c49ab16a037b6eb0152cc83e3471338215b66e"
+  dependencies:
+    ansi-styles "^3.2.1"
+    escape-string-regexp "^1.0.5"
+    supports-color "^5.3.0"
+
+chokidar@^2.0.3:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-2.0.4.tgz#356ff4e2b0e8e43e322d18a372460bbcf3accd26"
+  dependencies:
+    anymatch "^2.0.0"
+    async-each "^1.0.0"
+    braces "^2.3.0"
+    glob-parent "^3.1.0"
+    inherits "^2.0.1"
+    is-binary-path "^1.0.0"
+    is-glob "^4.0.0"
+    lodash.debounce "^4.0.8"
+    normalize-path "^2.1.1"
+    path-is-absolute "^1.0.0"
+    readdirp "^2.0.0"
+    upath "^1.0.5"
+  optionalDependencies:
+    fsevents "^1.2.2"
+
+chownr@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/chownr/-/chownr-1.0.1.tgz#e2a75042a9551908bebd25b8523d5f9769d79181"
+
+cipher-base@^1.0.0, cipher-base@^1.0.1, cipher-base@^1.0.3:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/cipher-base/-/cipher-base-1.0.4.tgz#8760e4ecc272f4c363532f926d874aae2c1397de"
+  dependencies:
+    inherits "^2.0.1"
+    safe-buffer "^5.0.1"
+
+clang-format@~1.2.2:
+  version "1.2.3"
+  resolved "https://registry.yarnpkg.com/clang-format/-/clang-format-1.2.3.tgz#2763561aa7449c43737480f8df3a2b5b66e6cf37"
+  dependencies:
+    async "^1.5.2"
+    glob "^7.0.0"
+    resolve "^1.1.6"
+
+clap@^1.0.9:
+  version "1.2.3"
+  resolved "https://registry.yarnpkg.com/clap/-/clap-1.2.3.tgz#4f36745b32008492557f46412d66d50cb99bce51"
+  dependencies:
+    chalk "^1.1.3"
+
+class-utils@^0.3.5:
+  version "0.3.6"
+  resolved "https://registry.yarnpkg.com/class-utils/-/class-utils-0.3.6.tgz#f93369ae8b9a7ce02fd41faad0ca83033190c463"
+  dependencies:
+    arr-union "^3.1.0"
+    define-property "^0.2.5"
+    isobject "^3.0.0"
+    static-extend "^0.1.1"
+
+clone@^1.0.2:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/clone/-/clone-1.0.4.tgz#da309cc263df15994c688ca902179ca3c7cd7c7e"
+
+clones@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/clones/-/clones-1.1.0.tgz#87e904132d6140c5c0b72006c08c0d05bd7b63b3"
+
+coa@~1.0.1:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/coa/-/coa-1.0.4.tgz#a9ef153660d6a86a8bdec0289a5c684d217432fd"
+  dependencies:
+    q "^1.1.2"
+
+coa@~2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/coa/-/coa-2.0.1.tgz#f3f8b0b15073e35d70263fb1042cb2c023db38af"
+  dependencies:
+    q "^1.1.2"
+
+code-point-at@^1.0.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/code-point-at/-/code-point-at-1.1.0.tgz#0d070b4d043a5bea33a2f1a40e2edb3d9a4ccf77"
+
+collection-visit@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/collection-visit/-/collection-visit-1.0.0.tgz#4bc0373c164bc3291b4d368c829cf1a80a59dca0"
+  dependencies:
+    map-visit "^1.0.0"
+    object-visit "^1.0.0"
+
+color-convert@^1.3.0, color-convert@^1.9.0:
+  version "1.9.2"
+  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-1.9.2.tgz#49881b8fba67df12a96bdf3f56c0aab9e7913147"
+  dependencies:
+    color-name "1.1.1"
+
+color-name@1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.1.tgz#4b1415304cf50028ea81643643bd82ea05803689"
+
+color-name@^1.0.0:
+  version "1.1.3"
+  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.3.tgz#a7d0558bd89c42f795dd42328f740831ca53bc25"
+
+color-string@^0.3.0:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/color-string/-/color-string-0.3.0.tgz#27d46fb67025c5c2fa25993bfbf579e47841b991"
+  dependencies:
+    color-name "^1.0.0"
+
+color@^0.11.0:
+  version "0.11.4"
+  resolved "https://registry.yarnpkg.com/color/-/color-0.11.4.tgz#6d7b5c74fb65e841cd48792ad1ed5e07b904d764"
+  dependencies:
+    clone "^1.0.2"
+    color-convert "^1.3.0"
+    color-string "^0.3.0"
+
+colormin@^1.0.5:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/colormin/-/colormin-1.1.2.tgz#ea2f7420a72b96881a38aae59ec124a6f7298133"
+  dependencies:
+    color "^0.11.0"
+    css-color-names "0.0.4"
+    has "^1.0.1"
+
+colors@~1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/colors/-/colors-1.1.2.tgz#168a4701756b6a7f51a12ce0c97bfa28c084ed63"
+
+command-exists@^1.2.6:
+  version "1.2.7"
+  resolved "https://registry.yarnpkg.com/command-exists/-/command-exists-1.2.7.tgz#16828f0c3ff2b0c58805861ef211b64fc15692a8"
+
+commander@^2.11.0, commander@^2.9.0:
+  version "2.15.1"
+  resolved "https://registry.yarnpkg.com/commander/-/commander-2.15.1.tgz#df46e867d0fc2aec66a34662b406a9ccafff5b0f"
+
+commander@~2.13.0:
+  version "2.13.0"
+  resolved "https://registry.yarnpkg.com/commander/-/commander-2.13.0.tgz#6964bca67685df7c1f1430c584f07d7597885b9c"
+
+component-emitter@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/component-emitter/-/component-emitter-1.2.1.tgz#137918d6d78283f7df7a6b7c5a63e140e69425e6"
+
+concat-map@0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
+
+concat-stream@~1.6.0:
+  version "1.6.2"
+  resolved "https://registry.yarnpkg.com/concat-stream/-/concat-stream-1.6.2.tgz#904bdf194cd3122fc675c77fc4ac3d4ff0fd1a34"
+  dependencies:
+    buffer-from "^1.0.0"
+    inherits "^2.0.3"
+    readable-stream "^2.2.2"
+    typedarray "^0.0.6"
+
+config-chain@~1.1.5:
+  version "1.1.11"
+  resolved "https://registry.yarnpkg.com/config-chain/-/config-chain-1.1.11.tgz#aba09747dfbe4c3e70e766a6e41586e1859fc6f2"
+  dependencies:
+    ini "^1.3.4"
+    proto-list "~1.2.1"
+
+console-browserify@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/console-browserify/-/console-browserify-1.1.0.tgz#f0241c45730a9fc6323b206dbf38edc741d0bb10"
+  dependencies:
+    date-now "^0.1.4"
+
+console-control-strings@^1.0.0, console-control-strings@~1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/console-control-strings/-/console-control-strings-1.1.0.tgz#3d7cf4464db6446ea644bf4b39507f9851008e8e"
+
+constants-browserify@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/constants-browserify/-/constants-browserify-1.0.0.tgz#c20b96d8c617748aaf1c16021760cd27fcb8cb75"
+
+convert-source-map@^1.5.1:
+  version "1.5.1"
+  resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-1.5.1.tgz#b8278097b9bc229365de5c62cf5fcaed8b5599e5"
+
+copy-descriptor@^0.1.0:
+  version "0.1.1"
+  resolved "https://registry.yarnpkg.com/copy-descriptor/-/copy-descriptor-0.1.1.tgz#676f6eb3c39997c2ee1ac3a924fd6124748f578d"
+
+core-js@^2.4.0, core-js@^2.5.0:
+  version "2.5.7"
+  resolved "https://registry.yarnpkg.com/core-js/-/core-js-2.5.7.tgz#f972608ff0cead68b841a16a932d0b183791814e"
+
+core-util-is@~1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/core-util-is/-/core-util-is-1.0.2.tgz#b5fd54220aa2bc5ab57aab7140c940754503c1a7"
+
+create-ecdh@^4.0.0:
+  version "4.0.3"
+  resolved "https://registry.yarnpkg.com/create-ecdh/-/create-ecdh-4.0.3.tgz#c9111b6f33045c4697f144787f9254cdc77c45ff"
+  dependencies:
+    bn.js "^4.1.0"
+    elliptic "^6.0.0"
+
+create-hash@^1.1.0, create-hash@^1.1.2:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/create-hash/-/create-hash-1.2.0.tgz#889078af11a63756bcfb59bd221996be3a9ef196"
+  dependencies:
+    cipher-base "^1.0.1"
+    inherits "^2.0.1"
+    md5.js "^1.3.4"
+    ripemd160 "^2.0.1"
+    sha.js "^2.4.0"
+
+create-hmac@^1.1.0, create-hmac@^1.1.2, create-hmac@^1.1.4:
+  version "1.1.7"
+  resolved "https://registry.yarnpkg.com/create-hmac/-/create-hmac-1.1.7.tgz#69170c78b3ab957147b2b8b04572e47ead2243ff"
+  dependencies:
+    cipher-base "^1.0.3"
+    create-hash "^1.1.0"
+    inherits "^2.0.1"
+    ripemd160 "^2.0.0"
+    safe-buffer "^5.0.1"
+    sha.js "^2.4.8"
+
+cross-env@^5.1.6:
+  version "5.2.0"
+  resolved "https://registry.yarnpkg.com/cross-env/-/cross-env-5.2.0.tgz#6ecd4c015d5773e614039ee529076669b9d126f2"
+  dependencies:
+    cross-spawn "^6.0.5"
+    is-windows "^1.0.0"
+
+cross-spawn@^6.0.4, cross-spawn@^6.0.5:
+  version "6.0.5"
+  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-6.0.5.tgz#4a5ec7c64dfae22c3a14124dbacdee846d80cbc4"
+  dependencies:
+    nice-try "^1.0.4"
+    path-key "^2.0.1"
+    semver "^5.5.0"
+    shebang-command "^1.2.0"
+    which "^1.2.9"
+
+crypto-browserify@^3.11.0:
+  version "3.12.0"
+  resolved "https://registry.yarnpkg.com/crypto-browserify/-/crypto-browserify-3.12.0.tgz#396cf9f3137f03e4b8e532c58f698254e00f80ec"
+  dependencies:
+    browserify-cipher "^1.0.0"
+    browserify-sign "^4.0.0"
+    create-ecdh "^4.0.0"
+    create-hash "^1.1.0"
+    create-hmac "^1.1.0"
+    diffie-hellman "^5.0.0"
+    inherits "^2.0.1"
+    pbkdf2 "^3.0.3"
+    public-encrypt "^4.0.0"
+    randombytes "^2.0.0"
+    randomfill "^1.0.3"
+
+css-color-names@0.0.4:
+  version "0.0.4"
+  resolved "https://registry.yarnpkg.com/css-color-names/-/css-color-names-0.0.4.tgz#808adc2e79cf84738069b646cb20ec27beb629e0"
+
+css-select-base-adapter@~0.1.0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/css-select-base-adapter/-/css-select-base-adapter-0.1.0.tgz#0102b3d14630df86c3eb9fa9f5456270106cf990"
+
+css-select@~1.3.0-rc0:
+  version "1.3.0-rc0"
+  resolved "https://registry.yarnpkg.com/css-select/-/css-select-1.3.0-rc0.tgz#6f93196aaae737666ea1036a8cb14a8fcb7a9231"
+  dependencies:
+    boolbase "^1.0.0"
+    css-what "2.1"
+    domutils "1.5.1"
+    nth-check "^1.0.1"
+
+css-tree@1.0.0-alpha.29:
+  version "1.0.0-alpha.29"
+  resolved "https://registry.yarnpkg.com/css-tree/-/css-tree-1.0.0-alpha.29.tgz#3fa9d4ef3142cbd1c301e7664c1f352bd82f5a39"
+  dependencies:
+    mdn-data "~1.1.0"
+    source-map "^0.5.3"
+
+css-tree@1.0.0-alpha25:
+  version "1.0.0-alpha25"
+  resolved "https://registry.yarnpkg.com/css-tree/-/css-tree-1.0.0-alpha25.tgz#1bbfabfbf6eeef4f01d9108ff2edd0be2fe35597"
+  dependencies:
+    mdn-data "^1.0.0"
+    source-map "^0.5.3"
+
+css-url-regex@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/css-url-regex/-/css-url-regex-1.1.0.tgz#83834230cc9f74c457de59eebd1543feeb83b7ec"
+
+css-what@2.1:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/css-what/-/css-what-2.1.0.tgz#9467d032c38cfaefb9f2d79501253062f87fa1bd"
+
+cssnano@^3.10.0, cssnano@^3.4.0:
+  version "3.10.0"
+  resolved "https://registry.yarnpkg.com/cssnano/-/cssnano-3.10.0.tgz#4f38f6cea2b9b17fa01490f23f1dc68ea65c1c38"
+  dependencies:
+    autoprefixer "^6.3.1"
+    decamelize "^1.1.2"
+    defined "^1.0.0"
+    has "^1.0.1"
+    object-assign "^4.0.1"
+    postcss "^5.0.14"
+    postcss-calc "^5.2.0"
+    postcss-colormin "^2.1.8"
+    postcss-convert-values "^2.3.4"
+    postcss-discard-comments "^2.0.4"
+    postcss-discard-duplicates "^2.0.1"
+    postcss-discard-empty "^2.0.1"
+    postcss-discard-overridden "^0.1.1"
+    postcss-discard-unused "^2.2.1"
+    postcss-filter-plugins "^2.0.0"
+    postcss-merge-idents "^2.1.5"
+    postcss-merge-longhand "^2.0.1"
+    postcss-merge-rules "^2.0.3"
+    postcss-minify-font-values "^1.0.2"
+    postcss-minify-gradients "^1.0.1"
+    postcss-minify-params "^1.0.4"
+    postcss-minify-selectors "^2.0.4"
+    postcss-normalize-charset "^1.1.0"
+    postcss-normalize-url "^3.0.7"
+    postcss-ordered-values "^2.1.0"
+    postcss-reduce-idents "^2.2.2"
+    postcss-reduce-initial "^1.0.0"
+    postcss-reduce-transforms "^1.0.3"
+    postcss-svgo "^2.1.1"
+    postcss-unique-selectors "^2.0.2"
+    postcss-value-parser "^3.2.3"
+    postcss-zindex "^2.0.1"
+
+csso@^3.5.0:
+  version "3.5.1"
+  resolved "https://registry.yarnpkg.com/csso/-/csso-3.5.1.tgz#7b9eb8be61628973c1b261e169d2f024008e758b"
+  dependencies:
+    css-tree "1.0.0-alpha.29"
+
+csso@~2.3.1:
+  version "2.3.2"
+  resolved "https://registry.yarnpkg.com/csso/-/csso-2.3.2.tgz#ddd52c587033f49e94b71fc55569f252e8ff5f85"
+  dependencies:
+    clap "^1.0.9"
+    source-map "^0.5.3"
+
+date-now@^0.1.4:
+  version "0.1.4"
+  resolved "https://registry.yarnpkg.com/date-now/-/date-now-0.1.4.tgz#eaf439fd4d4848ad74e5cc7dbef200672b9e345b"
+
+deasync@^0.1.12:
+  version "0.1.13"
+  resolved "https://registry.yarnpkg.com/deasync/-/deasync-0.1.13.tgz#815c2b69bbd1117cae570152cd895661c09f20ea"
+  dependencies:
+    bindings "~1.2.1"
+    nan "^2.0.7"
+
+debug@2.6.9, debug@^2.1.2, debug@^2.2.0, debug@^2.3.3, debug@^2.6.8, debug@^2.6.9:
+  version "2.6.9"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-2.6.9.tgz#5d128515df134ff327e90a4c93f4e077a536341f"
+  dependencies:
+    ms "2.0.0"
+
+decamelize@^1.1.2:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
+
+decode-uri-component@^0.2.0:
+  version "0.2.0"
+  resolved "https://registry.yarnpkg.com/decode-uri-component/-/decode-uri-component-0.2.0.tgz#eb3913333458775cb84cd1a1fae062106bb87545"
+
+deep-extend@^0.6.0:
+  version "0.6.0"
+  resolved "https://registry.yarnpkg.com/deep-extend/-/deep-extend-0.6.0.tgz#c4fa7c95404a17a9c3e8ca7e1537312b736330ac"
+
+deep-is@~0.1.3:
+  version "0.1.3"
+  resolved "https://registry.yarnpkg.com/deep-is/-/deep-is-0.1.3.tgz#b369d6fb5dbc13eecf524f91b070feedc357cf34"
+
+define-properties@^1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/define-properties/-/define-properties-1.1.2.tgz#83a73f2fea569898fb737193c8f873caf6d45c94"
+  dependencies:
+    foreach "^2.0.5"
+    object-keys "^1.0.8"
+
+define-property@^0.2.5:
+  version "0.2.5"
+  resolved "https://registry.yarnpkg.com/define-property/-/define-property-0.2.5.tgz#c35b1ef918ec3c990f9a5bc57be04aacec5c8116"
+  dependencies:
+    is-descriptor "^0.1.0"
+
+define-property@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/define-property/-/define-property-1.0.0.tgz#769ebaaf3f4a63aad3af9e8d304c9bbe79bfb0e6"
+  dependencies:
+    is-descriptor "^1.0.0"
+
+define-property@^2.0.2:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/define-property/-/define-property-2.0.2.tgz#d459689e8d654ba77e02a817f8710d702cb16e9d"
+  dependencies:
+    is-descriptor "^1.0.2"
+    isobject "^3.0.1"
+
+defined@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/defined/-/defined-1.0.0.tgz#c98d9bcef75674188e110969151199e39b1fa693"
+
+delegates@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/delegates/-/delegates-1.0.0.tgz#84c6e159b81904fdca59a0ef44cd870d31250f9a"
+
+depd@~1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/depd/-/depd-1.1.2.tgz#9bcd52e14c097763e749b274c4346ed2e560b5a9"
+
+des.js@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/des.js/-/des.js-1.0.0.tgz#c074d2e2aa6a8a9a07dbd61f9a15c2cd83ec8ecc"
+  dependencies:
+    inherits "^2.0.1"
+    minimalistic-assert "^1.0.0"
+
+destroy@~1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/destroy/-/destroy-1.0.4.tgz#978857442c44749e4206613e37946205826abd80"
+
+detect-indent@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/detect-indent/-/detect-indent-4.0.0.tgz#f76d064352cdf43a1cb6ce619c4ee3a9475de208"
+  dependencies:
+    repeating "^2.0.0"
+
+detect-libc@^1.0.2:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/detect-libc/-/detect-libc-1.0.3.tgz#fa137c4bd698edf55cd5cd02ac559f91a4c4ba9b"
+
+diffie-hellman@^5.0.0:
+  version "5.0.3"
+  resolved "https://registry.yarnpkg.com/diffie-hellman/-/diffie-hellman-5.0.3.tgz#40e8ee98f55a2149607146921c63e1ae5f3d2875"
+  dependencies:
+    bn.js "^4.1.0"
+    miller-rabin "^4.0.0"
+    randombytes "^2.0.0"
+
+dom-serializer@0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-0.1.0.tgz#073c697546ce0780ce23be4a28e293e40bc30c82"
+  dependencies:
+    domelementtype "~1.1.1"
+    entities "~1.1.1"
+
+domain-browser@^1.1.1:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/domain-browser/-/domain-browser-1.2.0.tgz#3d31f50191a6749dd1375a7f522e823d42e54eda"
+
+domelementtype@1, domelementtype@^1.3.0:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-1.3.0.tgz#b17aed82e8ab59e52dd9c19b1756e0fc187204c2"
+
+domelementtype@~1.1.1:
+  version "1.1.3"
+  resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-1.1.3.tgz#bd28773e2642881aec51544924299c5cd822185b"
+
+domhandler@^2.3.0:
+  version "2.4.2"
+  resolved "https://registry.yarnpkg.com/domhandler/-/domhandler-2.4.2.tgz#8805097e933d65e85546f726d60f5eb88b44f803"
+  dependencies:
+    domelementtype "1"
+
+domutils@1.5.1:
+  version "1.5.1"
+  resolved "https://registry.yarnpkg.com/domutils/-/domutils-1.5.1.tgz#dcd8488a26f563d61079e48c9f7b7e32373682cf"
+  dependencies:
+    dom-serializer "0"
+    domelementtype "1"
+
+domutils@^1.5.1:
+  version "1.7.0"
+  resolved "https://registry.yarnpkg.com/domutils/-/domutils-1.7.0.tgz#56ea341e834e06e6748af7a1cb25da67ea9f8c2a"
+  dependencies:
+    dom-serializer "0"
+    domelementtype "1"
+
+dotenv@^5.0.0:
+  version "5.0.1"
+  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-5.0.1.tgz#a5317459bd3d79ab88cff6e44057a6a3fbb1fcef"
+
+duplexer2@~0.1.4:
+  version "0.1.4"
+  resolved "https://registry.yarnpkg.com/duplexer2/-/duplexer2-0.1.4.tgz#8b12dab878c0d69e3e7891051662a32fc6bddcc1"
+  dependencies:
+    readable-stream "^2.0.2"
+
+editorconfig@^0.13.2:
+  version "0.13.3"
+  resolved "https://registry.yarnpkg.com/editorconfig/-/editorconfig-0.13.3.tgz#e5219e587951d60958fd94ea9a9a008cdeff1b34"
+  dependencies:
+    bluebird "^3.0.5"
+    commander "^2.9.0"
+    lru-cache "^3.2.0"
+    semver "^5.1.0"
+    sigmund "^1.0.1"
+
+ee-first@1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/ee-first/-/ee-first-1.1.1.tgz#590c61156b0ae2f4f0255732a158b266bc56b21d"
+
+electron-to-chromium@^1.2.7, electron-to-chromium@^1.3.30, electron-to-chromium@^1.3.47:
+  version "1.3.50"
+  resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.3.50.tgz#7438b76f92b41b919f3fbdd350fbd0757dacddf7"
+
+elliptic@^6.0.0:
+  version "6.4.0"
+  resolved "https://registry.yarnpkg.com/elliptic/-/elliptic-6.4.0.tgz#cac9af8762c85836187003c8dfe193e5e2eae5df"
+  dependencies:
+    bn.js "^4.4.0"
+    brorand "^1.0.1"
+    hash.js "^1.0.0"
+    hmac-drbg "^1.0.0"
+    inherits "^2.0.1"
+    minimalistic-assert "^1.0.0"
+    minimalistic-crypto-utils "^1.0.0"
+
+encodeurl@~1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/encodeurl/-/encodeurl-1.0.2.tgz#ad3ff4c86ec2d029322f5a02c3a9a606c95b3f59"
+
+entities@^1.1.1, entities@~1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/entities/-/entities-1.1.1.tgz#6e5c2d0a5621b5dadaecef80b90edfb5cd7772f0"
+
+es-abstract@^1.5.1, es-abstract@^1.6.1:
+  version "1.12.0"
+  resolved "https://registry.yarnpkg.com/es-abstract/-/es-abstract-1.12.0.tgz#9dbbdd27c6856f0001421ca18782d786bf8a6165"
+  dependencies:
+    es-to-primitive "^1.1.1"
+    function-bind "^1.1.1"
+    has "^1.0.1"
+    is-callable "^1.1.3"
+    is-regex "^1.0.4"
+
+es-to-primitive@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/es-to-primitive/-/es-to-primitive-1.1.1.tgz#45355248a88979034b6792e19bb81f2b7975dd0d"
+  dependencies:
+    is-callable "^1.1.1"
+    is-date-object "^1.0.1"
+    is-symbol "^1.0.1"
+
+escape-html@~1.0.3:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/escape-html/-/escape-html-1.0.3.tgz#0258eae4d3d0c0974de1c169188ef0051d1d1988"
+
+escape-string-regexp@^1.0.2, escape-string-regexp@^1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz#1b61c0562190a8dff6ae3bb2cf0200ca130b86d4"
+
+escodegen@^1.8.1:
+  version "1.10.0"
+  resolved "https://registry.yarnpkg.com/escodegen/-/escodegen-1.10.0.tgz#f647395de22519fbd0d928ffcf1d17e0dec2603e"
+  dependencies:
+    esprima "^3.1.3"
+    estraverse "^4.2.0"
+    esutils "^2.0.2"
+    optionator "^0.8.1"
+  optionalDependencies:
+    source-map "~0.6.1"
+
+escodegen@~1.9.0:
+  version "1.9.1"
+  resolved "https://registry.yarnpkg.com/escodegen/-/escodegen-1.9.1.tgz#dbae17ef96c8e4bedb1356f4504fa4cc2f7cb7e2"
+  dependencies:
+    esprima "^3.1.3"
+    estraverse "^4.2.0"
+    esutils "^2.0.2"
+    optionator "^0.8.1"
+  optionalDependencies:
+    source-map "~0.6.1"
+
+esprima@^2.6.0:
+  version "2.7.3"
+  resolved "https://registry.yarnpkg.com/esprima/-/esprima-2.7.3.tgz#96e3b70d5779f6ad49cd032673d1c312767ba581"
+
+esprima@^3.1.3:
+  version "3.1.3"
+  resolved "https://registry.yarnpkg.com/esprima/-/esprima-3.1.3.tgz#fdca51cee6133895e3c88d535ce49dbff62a4633"
+
+esprima@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/esprima/-/esprima-4.0.0.tgz#4499eddcd1110e0b218bacf2fa7f7f59f55ca804"
+
+estraverse@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/estraverse/-/estraverse-4.2.0.tgz#0dee3fed31fcd469618ce7342099fc1afa0bdb13"
+
+esutils@^2.0.2:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/esutils/-/esutils-2.0.2.tgz#0abf4f1caa5bcb1f7a9d8acc6dea4faaa04bac9b"
+
+etag@~1.8.1:
+  version "1.8.1"
+  resolved "https://registry.yarnpkg.com/etag/-/etag-1.8.1.tgz#41ae2eeb65efa62268aebfea83ac7d79299b0887"
+
+events@^1.0.0:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/events/-/events-1.1.1.tgz#9ebdb7635ad099c70dcc4c2a1f5004288e8bd924"
+
+evp_bytestokey@^1.0.0, evp_bytestokey@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/evp_bytestokey/-/evp_bytestokey-1.0.3.tgz#7fcbdb198dc71959432efe13842684e0525acb02"
+  dependencies:
+    md5.js "^1.3.4"
+    safe-buffer "^5.1.1"
+
+expand-brackets@^2.1.4:
+  version "2.1.4"
+  resolved "https://registry.yarnpkg.com/expand-brackets/-/expand-brackets-2.1.4.tgz#b77735e315ce30f6b6eff0f83b04151a22449622"
+  dependencies:
+    debug "^2.3.3"
+    define-property "^0.2.5"
+    extend-shallow "^2.0.1"
+    posix-character-classes "^0.1.0"
+    regex-not "^1.0.0"
+    snapdragon "^0.8.1"
+    to-regex "^3.0.1"
+
+extend-shallow@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/extend-shallow/-/extend-shallow-2.0.1.tgz#51af7d614ad9a9f610ea1bafbb989d6b1c56890f"
+  dependencies:
+    is-extendable "^0.1.0"
+
+extend-shallow@^3.0.0, extend-shallow@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/extend-shallow/-/extend-shallow-3.0.2.tgz#26a71aaf073b39fb2127172746131c2704028db8"
+  dependencies:
+    assign-symbols "^1.0.0"
+    is-extendable "^1.0.1"
+
+extglob@^2.0.4:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/extglob/-/extglob-2.0.4.tgz#ad00fe4dc612a9232e8718711dc5cb5ab0285543"
+  dependencies:
+    array-unique "^0.3.2"
+    define-property "^1.0.0"
+    expand-brackets "^2.1.4"
+    extend-shallow "^2.0.1"
+    fragment-cache "^0.2.1"
+    regex-not "^1.0.0"
+    snapdragon "^0.8.1"
+    to-regex "^3.0.1"
+
+falafel@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/falafel/-/falafel-2.1.0.tgz#96bb17761daba94f46d001738b3cedf3a67fe06c"
+  dependencies:
+    acorn "^5.0.0"
+    foreach "^2.0.5"
+    isarray "0.0.1"
+    object-keys "^1.0.6"
+
+fast-levenshtein@~2.0.4:
+  version "2.0.6"
+  resolved "https://registry.yarnpkg.com/fast-levenshtein/-/fast-levenshtein-2.0.6.tgz#3d8a5c66883a16a30ca8643e851f19baa7797917"
+
+filesize@^3.6.0:
+  version "3.6.1"
+  resolved "https://registry.yarnpkg.com/filesize/-/filesize-3.6.1.tgz#090bb3ee01b6f801a8a8be99d31710b3422bb317"
+
+fill-range@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-4.0.0.tgz#d544811d428f98eb06a63dc402d2403c328c38f7"
+  dependencies:
+    extend-shallow "^2.0.1"
+    is-number "^3.0.0"
+    repeat-string "^1.6.1"
+    to-regex-range "^2.1.0"
+
+flatten@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/flatten/-/flatten-1.0.2.tgz#dae46a9d78fbe25292258cc1e780a41d95c03782"
+
+for-in@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/for-in/-/for-in-1.0.2.tgz#81068d295a8142ec0ac726c6e2200c30fb6d5e80"
+
+foreach@^2.0.5:
+  version "2.0.5"
+  resolved "https://registry.yarnpkg.com/foreach/-/foreach-2.0.5.tgz#0bee005018aeb260d0a3af3ae658dd0136ec1b99"
+
+fragment-cache@^0.2.1:
+  version "0.2.1"
+  resolved "https://registry.yarnpkg.com/fragment-cache/-/fragment-cache-0.2.1.tgz#4290fad27f13e89be7f33799c6bc5a0abfff0d19"
+  dependencies:
+    map-cache "^0.2.2"
+
+fresh@0.5.2:
+  version "0.5.2"
+  resolved "https://registry.yarnpkg.com/fresh/-/fresh-0.5.2.tgz#3d8cadd90d976569fa835ab1f8e4b23a105605a7"
+
+fs-minipass@^1.2.5:
+  version "1.2.5"
+  resolved "https://registry.yarnpkg.com/fs-minipass/-/fs-minipass-1.2.5.tgz#06c277218454ec288df77ada54a03b8702aacb9d"
+  dependencies:
+    minipass "^2.2.1"
+
+fs.realpath@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/fs.realpath/-/fs.realpath-1.0.0.tgz#1504ad2523158caa40db4a2787cb01411994ea4f"
+
+fsevents@^1.2.2:
+  version "1.2.4"
+  resolved "https://registry.yarnpkg.com/fsevents/-/fsevents-1.2.4.tgz#f41dcb1af2582af3692da36fc55cbd8e1041c426"
+  dependencies:
+    nan "^2.9.2"
+    node-pre-gyp "^0.10.0"
+
+function-bind@^1.1.0, function-bind@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/function-bind/-/function-bind-1.1.1.tgz#a56899d3ea3c9bab874bb9773b7c5ede92f4895d"
+
+gauge@~2.7.3:
+  version "2.7.4"
+  resolved "https://registry.yarnpkg.com/gauge/-/gauge-2.7.4.tgz#2c03405c7538c39d7eb37b317022e325fb018bf7"
+  dependencies:
+    aproba "^1.0.3"
+    console-control-strings "^1.0.0"
+    has-unicode "^2.0.0"
+    object-assign "^4.1.0"
+    signal-exit "^3.0.0"
+    string-width "^1.0.1"
+    strip-ansi "^3.0.1"
+    wide-align "^1.1.0"
+
+get-port@^3.2.0:
+  version "3.2.0"
+  resolved "https://registry.yarnpkg.com/get-port/-/get-port-3.2.0.tgz#dd7ce7de187c06c8bf353796ac71e099f0980ebc"
+
+get-value@^2.0.3, get-value@^2.0.6:
+  version "2.0.6"
+  resolved "https://registry.yarnpkg.com/get-value/-/get-value-2.0.6.tgz#dc15ca1c672387ca76bd37ac0a395ba2042a2c28"
+
+glob-parent@^3.1.0:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/glob-parent/-/glob-parent-3.1.0.tgz#9e6af6299d8d3bd2bd40430832bd113df906c5ae"
+  dependencies:
+    is-glob "^3.1.0"
+    path-dirname "^1.0.0"
+
+glob@^7.0.0, glob@^7.0.5, glob@^7.1.2:
+  version "7.1.2"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.2.tgz#c19c9df9a028702d678612384a6552404c636d15"
+  dependencies:
+    fs.realpath "^1.0.0"
+    inflight "^1.0.4"
+    inherits "2"
+    minimatch "^3.0.4"
+    once "^1.3.0"
+    path-is-absolute "^1.0.0"
+
+globals@^9.18.0:
+  version "9.18.0"
+  resolved "https://registry.yarnpkg.com/globals/-/globals-9.18.0.tgz#aa3896b3e69b487f17e31ed2143d69a8e30c2d8a"
+
+graceful-fs@^4.1.2:
+  version "4.1.11"
+  resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.1.11.tgz#0e8bdfe4d1ddb8854d64e04ea7c00e2a026e5658"
+
+grapheme-breaker@^0.3.2:
+  version "0.3.2"
+  resolved "https://registry.yarnpkg.com/grapheme-breaker/-/grapheme-breaker-0.3.2.tgz#5b9e6b78c3832452d2ba2bb1cb830f96276410ac"
+  dependencies:
+    brfs "^1.2.0"
+    unicode-trie "^0.3.1"
+
+has-ansi@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/has-ansi/-/has-ansi-2.0.0.tgz#34f5049ce1ecdf2b0649af3ef24e45ed35416d91"
+  dependencies:
+    ansi-regex "^2.0.0"
+
+has-flag@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-1.0.0.tgz#9d9e793165ce017a00f00418c43f942a7b1d11fa"
+
+has-flag@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-3.0.0.tgz#b5d454dc2199ae225699f3467e5a07f3b955bafd"
+
+has-unicode@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/has-unicode/-/has-unicode-2.0.1.tgz#e0e6fe6a28cf51138855e086d1691e771de2a8b9"
+
+has-value@^0.3.1:
+  version "0.3.1"
+  resolved "https://registry.yarnpkg.com/has-value/-/has-value-0.3.1.tgz#7b1f58bada62ca827ec0a2078025654845995e1f"
+  dependencies:
+    get-value "^2.0.3"
+    has-values "^0.1.4"
+    isobject "^2.0.0"
+
+has-value@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/has-value/-/has-value-1.0.0.tgz#18b281da585b1c5c51def24c930ed29a0be6b177"
+  dependencies:
+    get-value "^2.0.6"
+    has-values "^1.0.0"
+    isobject "^3.0.0"
+
+has-values@^0.1.4:
+  version "0.1.4"
+  resolved "https://registry.yarnpkg.com/has-values/-/has-values-0.1.4.tgz#6d61de95d91dfca9b9a02089ad384bff8f62b771"
+
+has-values@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/has-values/-/has-values-1.0.0.tgz#95b0b63fec2146619a6fe57fe75628d5a39efe4f"
+  dependencies:
+    is-number "^3.0.0"
+    kind-of "^4.0.0"
+
+has@^1.0.1:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/has/-/has-1.0.3.tgz#722d7cbfc1f6aa8241f16dd814e011e1f41e8796"
+  dependencies:
+    function-bind "^1.1.1"
+
+hash-base@^3.0.0:
+  version "3.0.4"
+  resolved "https://registry.yarnpkg.com/hash-base/-/hash-base-3.0.4.tgz#5fc8686847ecd73499403319a6b0a3f3f6ae4918"
+  dependencies:
+    inherits "^2.0.1"
+    safe-buffer "^5.0.1"
+
+hash.js@^1.0.0, hash.js@^1.0.3:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/hash.js/-/hash.js-1.1.4.tgz#8b50e1f35d51bd01e5ed9ece4dbe3549ccfa0a3c"
+  dependencies:
+    inherits "^2.0.3"
+    minimalistic-assert "^1.0.0"
+
+hmac-drbg@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/hmac-drbg/-/hmac-drbg-1.0.1.tgz#d2745701025a6c775a6c545793ed502fc0c649a1"
+  dependencies:
+    hash.js "^1.0.3"
+    minimalistic-assert "^1.0.0"
+    minimalistic-crypto-utils "^1.0.1"
+
+home-or-tmp@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/home-or-tmp/-/home-or-tmp-2.0.0.tgz#e36c3f2d2cae7d746a857e38d18d5f32a7882db8"
+  dependencies:
+    os-homedir "^1.0.0"
+    os-tmpdir "^1.0.1"
+
+html-comment-regex@^1.1.0:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/html-comment-regex/-/html-comment-regex-1.1.1.tgz#668b93776eaae55ebde8f3ad464b307a4963625e"
+
+htmlnano@^0.1.9:
+  version "0.1.9"
+  resolved "https://registry.yarnpkg.com/htmlnano/-/htmlnano-0.1.9.tgz#e6137aea84d20311a3875c42eb2799a1ff352627"
+  dependencies:
+    cssnano "^3.4.0"
+    object-assign "^4.0.1"
+    posthtml "^0.11.3"
+    posthtml-render "^1.1.3"
+    svgo "^1.0.5"
+    uglify-es "^3.3.9"
+
+htmlparser2@^3.9.2:
+  version "3.9.2"
+  resolved "https://registry.yarnpkg.com/htmlparser2/-/htmlparser2-3.9.2.tgz#1bdf87acca0f3f9e53fa4fcceb0f4b4cbb00b338"
+  dependencies:
+    domelementtype "^1.3.0"
+    domhandler "^2.3.0"
+    domutils "^1.5.1"
+    entities "^1.1.1"
+    inherits "^2.0.1"
+    readable-stream "^2.0.2"
+
+http-errors@~1.6.2:
+  version "1.6.3"
+  resolved "https://registry.yarnpkg.com/http-errors/-/http-errors-1.6.3.tgz#8b55680bb4be283a0b5bf4ea2e38580be1d9320d"
+  dependencies:
+    depd "~1.1.2"
+    inherits "2.0.3"
+    setprototypeof "1.1.0"
+    statuses ">= 1.4.0 < 2"
+
+https-browserify@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/https-browserify/-/https-browserify-1.0.0.tgz#ec06c10e0a34c0f2faf199f7fd7fc78fffd03c73"
+
+iconv-lite@^0.4.4:
+  version "0.4.23"
+  resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.4.23.tgz#297871f63be507adcfbfca715d0cd0eed84e9a63"
+  dependencies:
+    safer-buffer ">= 2.1.2 < 3"
+
+ieee754@^1.1.4:
+  version "1.1.12"
+  resolved "https://registry.yarnpkg.com/ieee754/-/ieee754-1.1.12.tgz#50bf24e5b9c8bb98af4964c941cdb0918da7b60b"
+
+ignore-walk@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/ignore-walk/-/ignore-walk-3.0.1.tgz#a83e62e7d272ac0e3b551aaa82831a19b69f82f8"
+  dependencies:
+    minimatch "^3.0.4"
+
+indexes-of@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/indexes-of/-/indexes-of-1.0.1.tgz#f30f716c8e2bd346c7b67d3df3915566a7c05607"
+
+indexof@0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/indexof/-/indexof-0.0.1.tgz#82dc336d232b9062179d05ab3293a66059fd435d"
+
+inflight@^1.0.4:
+  version "1.0.6"
+  resolved "https://registry.yarnpkg.com/inflight/-/inflight-1.0.6.tgz#49bd6331d7d02d0c09bc910a1075ba8165b56df9"
+  dependencies:
+    once "^1.3.0"
+    wrappy "1"
+
+inherits@2, inherits@2.0.3, inherits@^2.0.1, inherits@^2.0.3, inherits@~2.0.1, inherits@~2.0.3:
+  version "2.0.3"
+  resolved "https://registry.yarnpkg.com/inherits/-/inherits-2.0.3.tgz#633c2c83e3da42a502f52466022480f4208261de"
+
+inherits@2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/inherits/-/inherits-2.0.1.tgz#b17d08d326b4423e568eff719f91b0b1cbdf69f1"
+
+ini@^1.3.4, ini@~1.3.0:
+  version "1.3.5"
+  resolved "https://registry.yarnpkg.com/ini/-/ini-1.3.5.tgz#eee25f56db1c9ec6085e0c22778083f596abf927"
+
+invariant@^2.2.2:
+  version "2.2.4"
+  resolved "https://registry.yarnpkg.com/invariant/-/invariant-2.2.4.tgz#610f3c92c9359ce1db616e538008d23ff35158e6"
+  dependencies:
+    loose-envify "^1.0.0"
+
+is-absolute-url@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-absolute-url/-/is-absolute-url-2.1.0.tgz#50530dfb84fcc9aa7dbe7852e83a37b93b9f2aa6"
+
+is-accessor-descriptor@^0.1.6:
+  version "0.1.6"
+  resolved "https://registry.yarnpkg.com/is-accessor-descriptor/-/is-accessor-descriptor-0.1.6.tgz#a9e12cb3ae8d876727eeef3843f8a0897b5c98d6"
+  dependencies:
+    kind-of "^3.0.2"
+
+is-accessor-descriptor@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/is-accessor-descriptor/-/is-accessor-descriptor-1.0.0.tgz#169c2f6d3df1f992618072365c9b0ea1f6878656"
+  dependencies:
+    kind-of "^6.0.0"
+
+is-binary-path@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/is-binary-path/-/is-binary-path-1.0.1.tgz#75f16642b480f187a711c814161fd3a4a7655898"
+  dependencies:
+    binary-extensions "^1.0.0"
+
+is-buffer@^1.1.5:
+  version "1.1.6"
+  resolved "https://registry.yarnpkg.com/is-buffer/-/is-buffer-1.1.6.tgz#efaa2ea9daa0d7ab2ea13a97b2b8ad51fefbe8be"
+
+is-callable@^1.1.1, is-callable@^1.1.3:
+  version "1.1.3"
+  resolved "https://registry.yarnpkg.com/is-callable/-/is-callable-1.1.3.tgz#86eb75392805ddc33af71c92a0eedf74ee7604b2"
+
+is-data-descriptor@^0.1.4:
+  version "0.1.4"
+  resolved "https://registry.yarnpkg.com/is-data-descriptor/-/is-data-descriptor-0.1.4.tgz#0b5ee648388e2c860282e793f1856fec3f301b56"
+  dependencies:
+    kind-of "^3.0.2"
+
+is-data-descriptor@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/is-data-descriptor/-/is-data-descriptor-1.0.0.tgz#d84876321d0e7add03990406abbbbd36ba9268c7"
+  dependencies:
+    kind-of "^6.0.0"
+
+is-date-object@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/is-date-object/-/is-date-object-1.0.1.tgz#9aa20eb6aeebbff77fbd33e74ca01b33581d3a16"
+
+is-descriptor@^0.1.0:
+  version "0.1.6"
+  resolved "https://registry.yarnpkg.com/is-descriptor/-/is-descriptor-0.1.6.tgz#366d8240dde487ca51823b1ab9f07a10a78251ca"
+  dependencies:
+    is-accessor-descriptor "^0.1.6"
+    is-data-descriptor "^0.1.4"
+    kind-of "^5.0.0"
+
+is-descriptor@^1.0.0, is-descriptor@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/is-descriptor/-/is-descriptor-1.0.2.tgz#3b159746a66604b04f8c81524ba365c5f14d86ec"
+  dependencies:
+    is-accessor-descriptor "^1.0.0"
+    is-data-descriptor "^1.0.0"
+    kind-of "^6.0.2"
+
+is-extendable@^0.1.0, is-extendable@^0.1.1:
+  version "0.1.1"
+  resolved "https://registry.yarnpkg.com/is-extendable/-/is-extendable-0.1.1.tgz#62b110e289a471418e3ec36a617d472e301dfc89"
+
+is-extendable@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/is-extendable/-/is-extendable-1.0.1.tgz#a7470f9e426733d81bd81e1155264e3a3507cab4"
+  dependencies:
+    is-plain-object "^2.0.4"
+
+is-extglob@^2.1.0, is-extglob@^2.1.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/is-extglob/-/is-extglob-2.1.1.tgz#a88c02535791f02ed37c76a1b9ea9773c833f8c2"
+
+is-finite@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/is-finite/-/is-finite-1.0.2.tgz#cc6677695602be550ef11e8b4aa6305342b6d0aa"
+  dependencies:
+    number-is-nan "^1.0.0"
+
+is-fullwidth-code-point@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/is-fullwidth-code-point/-/is-fullwidth-code-point-1.0.0.tgz#ef9e31386f031a7f0d643af82fde50c457ef00cb"
+  dependencies:
+    number-is-nan "^1.0.0"
+
+is-fullwidth-code-point@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/is-fullwidth-code-point/-/is-fullwidth-code-point-2.0.0.tgz#a3b30a5c4f199183167aaab93beefae3ddfb654f"
+
+is-glob@^3.1.0:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/is-glob/-/is-glob-3.1.0.tgz#7ba5ae24217804ac70707b96922567486cc3e84a"
+  dependencies:
+    is-extglob "^2.1.0"
+
+is-glob@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/is-glob/-/is-glob-4.0.0.tgz#9521c76845cc2610a85203ddf080a958c2ffabc0"
+  dependencies:
+    is-extglob "^2.1.1"
+
+is-number@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/is-number/-/is-number-3.0.0.tgz#24fd6201a4782cf50561c810276afc7d12d71195"
+  dependencies:
+    kind-of "^3.0.2"
+
+is-number@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/is-number/-/is-number-4.0.0.tgz#0026e37f5454d73e356dfe6564699867c6a7f0ff"
+
+is-odd@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/is-odd/-/is-odd-2.0.0.tgz#7646624671fd7ea558ccd9a2795182f2958f1b24"
+  dependencies:
+    is-number "^4.0.0"
+
+is-plain-obj@^1.0.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/is-plain-obj/-/is-plain-obj-1.1.0.tgz#71a50c8429dfca773c92a390a4a03b39fcd51d3e"
+
+is-plain-object@^2.0.1, is-plain-object@^2.0.3, is-plain-object@^2.0.4:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/is-plain-object/-/is-plain-object-2.0.4.tgz#2c163b3fafb1b606d9d17928f05c2a1c38e07677"
+  dependencies:
+    isobject "^3.0.1"
+
+is-regex@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/is-regex/-/is-regex-1.0.4.tgz#5517489b547091b0930e095654ced25ee97e9491"
+  dependencies:
+    has "^1.0.1"
+
+is-svg@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-svg/-/is-svg-2.1.0.tgz#cf61090da0d9efbcab8722deba6f032208dbb0e9"
+  dependencies:
+    html-comment-regex "^1.1.0"
+
+is-symbol@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/is-symbol/-/is-symbol-1.0.1.tgz#3cc59f00025194b6ab2e38dbae6689256b660572"
+
+is-url@^1.2.2:
+  version "1.2.4"
+  resolved "https://registry.yarnpkg.com/is-url/-/is-url-1.2.4.tgz#04a4df46d28c4cff3d73d01ff06abeb318a1aa52"
+
+is-windows@^1.0.0, is-windows@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/is-windows/-/is-windows-1.0.2.tgz#d1850eb9791ecd18e6182ce12a30f396634bb19d"
+
+is-wsl@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/is-wsl/-/is-wsl-1.1.0.tgz#1f16e4aa22b04d1336b66188a66af3c600c3a66d"
+
+isarray@0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/isarray/-/isarray-0.0.1.tgz#8a18acfca9a8f4177e09abfc6038939b05d1eedf"
+
+isarray@1.0.0, isarray@^1.0.0, isarray@~1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/isarray/-/isarray-1.0.0.tgz#bb935d48582cba168c06834957a54a3e07124f11"
+
+isexe@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/isexe/-/isexe-2.0.0.tgz#e8fbf374dc556ff8947a10dcb0572d633f2cfa10"
+
+isobject@^2.0.0, isobject@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/isobject/-/isobject-2.1.0.tgz#f065561096a3f1da2ef46272f815c840d87e0c89"
+  dependencies:
+    isarray "1.0.0"
+
+isobject@^3.0.0, isobject@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/isobject/-/isobject-3.0.1.tgz#4e431e92b11a9731636aa1f9c8d1ccbcfdab78df"
+
+js-base64@^2.1.9:
+  version "2.4.5"
+  resolved "https://registry.yarnpkg.com/js-base64/-/js-base64-2.4.5.tgz#e293cd3c7c82f070d700fc7a1ca0a2e69f101f92"
+
+js-beautify@^1.7.5:
+  version "1.7.5"
+  resolved "https://registry.yarnpkg.com/js-beautify/-/js-beautify-1.7.5.tgz#69d9651ef60dbb649f65527b53674950138a7919"
+  dependencies:
+    config-chain "~1.1.5"
+    editorconfig "^0.13.2"
+    mkdirp "~0.5.0"
+    nopt "~3.0.1"
+
+js-tokens@^3.0.0, js-tokens@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/js-tokens/-/js-tokens-3.0.2.tgz#9866df395102130e38f7f996bceb65443209c25b"
+
+js-yaml@^3.10.0:
+  version "3.12.0"
+  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-3.12.0.tgz#eaed656ec8344f10f527c6bfa1b6e2244de167d1"
+  dependencies:
+    argparse "^1.0.7"
+    esprima "^4.0.0"
+
+js-yaml@~3.10.0:
+  version "3.10.0"
+  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-3.10.0.tgz#2e78441646bd4682e963f22b6e92823c309c62dc"
+  dependencies:
+    argparse "^1.0.7"
+    esprima "^4.0.0"
+
+js-yaml@~3.7.0:
+  version "3.7.0"
+  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-3.7.0.tgz#5c967ddd837a9bfdca5f2de84253abe8a1c03b80"
+  dependencies:
+    argparse "^1.0.7"
+    esprima "^2.6.0"
+
+jsesc@^1.3.0:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-1.3.0.tgz#46c3fec8c1892b12b0833db9bc7622176dbab34b"
+
+jsesc@~0.5.0:
+  version "0.5.0"
+  resolved "https://registry.yarnpkg.com/jsesc/-/jsesc-0.5.0.tgz#e7dee66e35d6fc16f710fe91d5cf69f70f08911d"
+
+json5@^0.5.1:
+  version "0.5.1"
+  resolved "https://registry.yarnpkg.com/json5/-/json5-0.5.1.tgz#1eade7acc012034ad84e2396767ead9fa5495821"
+
+json5@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/json5/-/json5-1.0.1.tgz#779fb0018604fa854eacbf6252180d83543e3dbe"
+  dependencies:
+    minimist "^1.2.0"
+
+kind-of@^3.0.2, kind-of@^3.0.3, kind-of@^3.2.0:
+  version "3.2.2"
+  resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-3.2.2.tgz#31ea21a734bab9bbb0f32466d893aea51e4a3c64"
+  dependencies:
+    is-buffer "^1.1.5"
+
+kind-of@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-4.0.0.tgz#20813df3d712928b207378691a45066fae72dd57"
+  dependencies:
+    is-buffer "^1.1.5"
+
+kind-of@^5.0.0:
+  version "5.1.0"
+  resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-5.1.0.tgz#729c91e2d857b7a419a1f9aa65685c4c33f5845d"
+
+kind-of@^6.0.0, kind-of@^6.0.2:
+  version "6.0.2"
+  resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-6.0.2.tgz#01146b36a6218e64e58f3a8d66de5d7fc6f6d051"
+
+levn@~0.3.0:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/levn/-/levn-0.3.0.tgz#3b09924edf9f083c0490fdd4c0bc4421e04764ee"
+  dependencies:
+    prelude-ls "~1.1.2"
+    type-check "~0.3.2"
+
+lodash.clone@^4.5.0:
+  version "4.5.0"
+  resolved "https://registry.yarnpkg.com/lodash.clone/-/lodash.clone-4.5.0.tgz#195870450f5a13192478df4bc3d23d2dea1907b6"
+
+lodash.debounce@^4.0.8:
+  version "4.0.8"
+  resolved "https://registry.yarnpkg.com/lodash.debounce/-/lodash.debounce-4.0.8.tgz#82d79bff30a67c4005ffd5e2515300ad9ca4d7af"
+
+lodash.memoize@^4.1.2:
+  version "4.1.2"
+  resolved "https://registry.yarnpkg.com/lodash.memoize/-/lodash.memoize-4.1.2.tgz#bcc6c49a42a2840ed997f323eada5ecd182e0bfe"
+
+lodash.uniq@^4.5.0:
+  version "4.5.0"
+  resolved "https://registry.yarnpkg.com/lodash.uniq/-/lodash.uniq-4.5.0.tgz#d0225373aeb652adc1bc82e4945339a842754773"
+
+lodash@^4.17.4:
+  version "4.17.10"
+  resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.10.tgz#1b7793cf7259ea38fb3661d4d38b3260af8ae4e7"
+
+long@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/long/-/long-4.0.0.tgz#9a7b71cfb7d361a194ea555241c92f7468d5bf28"
+
+loose-envify@^1.0.0:
+  version "1.3.1"
+  resolved "https://registry.yarnpkg.com/loose-envify/-/loose-envify-1.3.1.tgz#d1a8ad33fa9ce0e713d65fdd0ac8b748d478c848"
+  dependencies:
+    js-tokens "^3.0.0"
+
+lru-cache@^3.2.0:
+  version "3.2.0"
+  resolved "https://registry.yarnpkg.com/lru-cache/-/lru-cache-3.2.0.tgz#71789b3b7f5399bec8565dda38aa30d2a097efee"
+  dependencies:
+    pseudomap "^1.0.1"
+
+magic-string@^0.22.4:
+  version "0.22.5"
+  resolved "https://registry.yarnpkg.com/magic-string/-/magic-string-0.22.5.tgz#8e9cf5afddf44385c1da5bc2a6a0dbd10b03657e"
+  dependencies:
+    vlq "^0.2.2"
+
+map-cache@^0.2.2:
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/map-cache/-/map-cache-0.2.2.tgz#c32abd0bd6525d9b051645bb4f26ac5dc98a0dbf"
+
+map-visit@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/map-visit/-/map-visit-1.0.0.tgz#ecdca8f13144e660f1b5bd41f12f3479d98dfb8f"
+  dependencies:
+    object-visit "^1.0.0"
+
+math-expression-evaluator@^1.2.14:
+  version "1.2.17"
+  resolved "https://registry.yarnpkg.com/math-expression-evaluator/-/math-expression-evaluator-1.2.17.tgz#de819fdbcd84dccd8fae59c6aeb79615b9d266ac"
+
+md5.js@^1.3.4:
+  version "1.3.4"
+  resolved "https://registry.yarnpkg.com/md5.js/-/md5.js-1.3.4.tgz#e9bdbde94a20a5ac18b04340fc5764d5b09d901d"
+  dependencies:
+    hash-base "^3.0.0"
+    inherits "^2.0.1"
+
+mdn-data@^1.0.0, mdn-data@~1.1.0:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/mdn-data/-/mdn-data-1.1.4.tgz#50b5d4ffc4575276573c4eedb8780812a8419f01"
+
+merge-source-map@1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/merge-source-map/-/merge-source-map-1.0.4.tgz#a5de46538dae84d4114cc5ea02b4772a6346701f"
+  dependencies:
+    source-map "^0.5.6"
+
+micromatch@^3.0.4, micromatch@^3.1.4:
+  version "3.1.10"
+  resolved "https://registry.yarnpkg.com/micromatch/-/micromatch-3.1.10.tgz#70859bc95c9840952f359a068a3fc49f9ecfac23"
+  dependencies:
+    arr-diff "^4.0.0"
+    array-unique "^0.3.2"
+    braces "^2.3.1"
+    define-property "^2.0.2"
+    extend-shallow "^3.0.2"
+    extglob "^2.0.4"
+    fragment-cache "^0.2.1"
+    kind-of "^6.0.2"
+    nanomatch "^1.2.9"
+    object.pick "^1.3.0"
+    regex-not "^1.0.0"
+    snapdragon "^0.8.1"
+    to-regex "^3.0.2"
+
+miller-rabin@^4.0.0:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/miller-rabin/-/miller-rabin-4.0.1.tgz#f080351c865b0dc562a8462966daa53543c78a4d"
+  dependencies:
+    bn.js "^4.0.0"
+    brorand "^1.0.1"
+
+mime@1.4.1:
+  version "1.4.1"
+  resolved "https://registry.yarnpkg.com/mime/-/mime-1.4.1.tgz#121f9ebc49e3766f311a76e1fa1c8003c4b03aa6"
+
+minimalistic-assert@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/minimalistic-assert/-/minimalistic-assert-1.0.1.tgz#2e194de044626d4a10e7f7fbc00ce73e83e4d5c7"
+
+minimalistic-crypto-utils@^1.0.0, minimalistic-crypto-utils@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/minimalistic-crypto-utils/-/minimalistic-crypto-utils-1.0.1.tgz#f6c00c1c0b082246e5c4d99dfb8c7c083b2b582a"
+
+minimatch@^3.0.2, minimatch@^3.0.4:
+  version "3.0.4"
+  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.0.4.tgz#5166e286457f03306064be5497e8dbb0c3d32083"
+  dependencies:
+    brace-expansion "^1.1.7"
+
+minimist@0.0.8:
+  version "0.0.8"
+  resolved "https://registry.yarnpkg.com/minimist/-/minimist-0.0.8.tgz#857fcabfc3397d2625b8228262e86aa7a011b05d"
+
+minimist@^1.1.3, minimist@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.0.tgz#a35008b20f41383eec1fb914f4cd5df79a264284"
+
+minipass@^2.2.1, minipass@^2.3.3:
+  version "2.3.3"
+  resolved "https://registry.yarnpkg.com/minipass/-/minipass-2.3.3.tgz#a7dcc8b7b833f5d368759cce544dccb55f50f233"
+  dependencies:
+    safe-buffer "^5.1.2"
+    yallist "^3.0.0"
+
+minizlib@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/minizlib/-/minizlib-1.1.0.tgz#11e13658ce46bc3a70a267aac58359d1e0c29ceb"
+  dependencies:
+    minipass "^2.2.1"
+
+mixin-deep@^1.2.0:
+  version "1.3.1"
+  resolved "https://registry.yarnpkg.com/mixin-deep/-/mixin-deep-1.3.1.tgz#a49e7268dce1a0d9698e45326c5626df3543d0fe"
+  dependencies:
+    for-in "^1.0.2"
+    is-extendable "^1.0.1"
+
+mkdirp@^0.5.0, mkdirp@^0.5.1, mkdirp@~0.5.0, mkdirp@~0.5.1:
+  version "0.5.1"
+  resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-0.5.1.tgz#30057438eac6cf7f8c4767f38648d6697d75c903"
+  dependencies:
+    minimist "0.0.8"
+
+ms@2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/ms/-/ms-2.0.0.tgz#5608aeadfc00be6c2901df5f9861788de0d597c8"
+
+nan@^2.0.7, nan@^2.9.2:
+  version "2.10.0"
+  resolved "https://registry.yarnpkg.com/nan/-/nan-2.10.0.tgz#96d0cd610ebd58d4b4de9cc0c6828cda99c7548f"
+
+nanomatch@^1.2.9:
+  version "1.2.9"
+  resolved "https://registry.yarnpkg.com/nanomatch/-/nanomatch-1.2.9.tgz#879f7150cb2dab7a471259066c104eee6e0fa7c2"
+  dependencies:
+    arr-diff "^4.0.0"
+    array-unique "^0.3.2"
+    define-property "^2.0.2"
+    extend-shallow "^3.0.2"
+    fragment-cache "^0.2.1"
+    is-odd "^2.0.0"
+    is-windows "^1.0.2"
+    kind-of "^6.0.2"
+    object.pick "^1.3.0"
+    regex-not "^1.0.0"
+    snapdragon "^0.8.1"
+    to-regex "^3.0.1"
+
+needle@^2.2.0:
+  version "2.2.1"
+  resolved "https://registry.yarnpkg.com/needle/-/needle-2.2.1.tgz#b5e325bd3aae8c2678902fa296f729455d1d3a7d"
+  dependencies:
+    debug "^2.1.2"
+    iconv-lite "^0.4.4"
+    sax "^1.2.4"
+
+nice-try@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/nice-try/-/nice-try-1.0.4.tgz#d93962f6c52f2c1558c0fbda6d512819f1efe1c4"
+
+node-forge@^0.7.1:
+  version "0.7.5"
+  resolved "https://registry.yarnpkg.com/node-forge/-/node-forge-0.7.5.tgz#6c152c345ce11c52f465c2abd957e8639cd674df"
+
+node-libs-browser@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/node-libs-browser/-/node-libs-browser-2.1.0.tgz#5f94263d404f6e44767d726901fff05478d600df"
+  dependencies:
+    assert "^1.1.1"
+    browserify-zlib "^0.2.0"
+    buffer "^4.3.0"
+    console-browserify "^1.1.0"
+    constants-browserify "^1.0.0"
+    crypto-browserify "^3.11.0"
+    domain-browser "^1.1.1"
+    events "^1.0.0"
+    https-browserify "^1.0.0"
+    os-browserify "^0.3.0"
+    path-browserify "0.0.0"
+    process "^0.11.10"
+    punycode "^1.2.4"
+    querystring-es3 "^0.2.0"
+    readable-stream "^2.3.3"
+    stream-browserify "^2.0.1"
+    stream-http "^2.7.2"
+    string_decoder "^1.0.0"
+    timers-browserify "^2.0.4"
+    tty-browserify "0.0.0"
+    url "^0.11.0"
+    util "^0.10.3"
+    vm-browserify "0.0.4"
+
+node-pre-gyp@^0.10.0:
+  version "0.10.1"
+  resolved "https://registry.yarnpkg.com/node-pre-gyp/-/node-pre-gyp-0.10.1.tgz#d518883e27ebc43161bae86f18400dc2b86b7668"
+  dependencies:
+    detect-libc "^1.0.2"
+    mkdirp "^0.5.1"
+    needle "^2.2.0"
+    nopt "^4.0.1"
+    npm-packlist "^1.1.6"
+    npmlog "^4.0.2"
+    rc "^1.1.7"
+    rimraf "^2.6.1"
+    semver "^5.3.0"
+    tar "^4"
+
+nopt@^4.0.1:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/nopt/-/nopt-4.0.1.tgz#d0d4685afd5415193c8c7505602d0d17cd64474d"
+  dependencies:
+    abbrev "1"
+    osenv "^0.1.4"
+
+nopt@~3.0.1:
+  version "3.0.6"
+  resolved "https://registry.yarnpkg.com/nopt/-/nopt-3.0.6.tgz#c6465dbf08abcd4db359317f79ac68a646b28ff9"
+  dependencies:
+    abbrev "1"
+
+normalize-path@^2.1.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/normalize-path/-/normalize-path-2.1.1.tgz#1ab28b556e198363a8c1a6f7e6fa20137fe6aed9"
+  dependencies:
+    remove-trailing-separator "^1.0.1"
+
+normalize-range@^0.1.2:
+  version "0.1.2"
+  resolved "https://registry.yarnpkg.com/normalize-range/-/normalize-range-0.1.2.tgz#2d10c06bdfd312ea9777695a4d28439456b75942"
+
+normalize-url@^1.4.0:
+  version "1.9.1"
+  resolved "https://registry.yarnpkg.com/normalize-url/-/normalize-url-1.9.1.tgz#2cc0d66b31ea23036458436e3620d85954c66c3c"
+  dependencies:
+    object-assign "^4.0.1"
+    prepend-http "^1.0.0"
+    query-string "^4.1.0"
+    sort-keys "^1.0.0"
+
+npm-bundled@^1.0.1:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/npm-bundled/-/npm-bundled-1.0.3.tgz#7e71703d973af3370a9591bafe3a63aca0be2308"
+
+npm-packlist@^1.1.6:
+  version "1.1.10"
+  resolved "https://registry.yarnpkg.com/npm-packlist/-/npm-packlist-1.1.10.tgz#1039db9e985727e464df066f4cf0ab6ef85c398a"
+  dependencies:
+    ignore-walk "^3.0.1"
+    npm-bundled "^1.0.1"
+
+npmlog@^4.0.2:
+  version "4.1.2"
+  resolved "https://registry.yarnpkg.com/npmlog/-/npmlog-4.1.2.tgz#08a7f2a8bf734604779a9efa4ad5cc717abb954b"
+  dependencies:
+    are-we-there-yet "~1.1.2"
+    console-control-strings "~1.1.0"
+    gauge "~2.7.3"
+    set-blocking "~2.0.0"
+
+nth-check@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/nth-check/-/nth-check-1.0.1.tgz#9929acdf628fc2c41098deab82ac580cf149aae4"
+  dependencies:
+    boolbase "~1.0.0"
+
+num2fraction@^1.2.2:
+  version "1.2.2"
+  resolved "https://registry.yarnpkg.com/num2fraction/-/num2fraction-1.2.2.tgz#6f682b6a027a4e9ddfa4564cd2589d1d4e669ede"
+
+number-is-nan@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/number-is-nan/-/number-is-nan-1.0.1.tgz#097b602b53422a522c1afb8790318336941a011d"
+
+object-assign@^4.0.1, object-assign@^4.1.0, object-assign@^4.1.1:
+  version "4.1.1"
+  resolved "https://registry.yarnpkg.com/object-assign/-/object-assign-4.1.1.tgz#2109adc7965887cfc05cbbd442cac8bfbb360863"
+
+object-copy@^0.1.0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/object-copy/-/object-copy-0.1.0.tgz#7e7d858b781bd7c991a41ba975ed3812754e998c"
+  dependencies:
+    copy-descriptor "^0.1.0"
+    define-property "^0.2.5"
+    kind-of "^3.0.3"
+
+object-inspect@~1.4.0:
+  version "1.4.1"
+  resolved "https://registry.yarnpkg.com/object-inspect/-/object-inspect-1.4.1.tgz#37ffb10e71adaf3748d05f713b4c9452f402cbc4"
+
+object-keys@^1.0.6, object-keys@^1.0.8:
+  version "1.0.12"
+  resolved "https://registry.yarnpkg.com/object-keys/-/object-keys-1.0.12.tgz#09c53855377575310cca62f55bb334abff7b3ed2"
+
+object-visit@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/object-visit/-/object-visit-1.0.1.tgz#f79c4493af0c5377b59fe39d395e41042dd045bb"
+  dependencies:
+    isobject "^3.0.0"
+
+object.getownpropertydescriptors@^2.0.3:
+  version "2.0.3"
+  resolved "https://registry.yarnpkg.com/object.getownpropertydescriptors/-/object.getownpropertydescriptors-2.0.3.tgz#8758c846f5b407adab0f236e0986f14b051caa16"
+  dependencies:
+    define-properties "^1.1.2"
+    es-abstract "^1.5.1"
+
+object.pick@^1.3.0:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/object.pick/-/object.pick-1.3.0.tgz#87a10ac4c1694bd2e1cbf53591a66141fb5dd747"
+  dependencies:
+    isobject "^3.0.1"
+
+object.values@^1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/object.values/-/object.values-1.0.4.tgz#e524da09b4f66ff05df457546ec72ac99f13069a"
+  dependencies:
+    define-properties "^1.1.2"
+    es-abstract "^1.6.1"
+    function-bind "^1.1.0"
+    has "^1.0.1"
+
+on-finished@~2.3.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/on-finished/-/on-finished-2.3.0.tgz#20f1336481b083cd75337992a16971aa2d906947"
+  dependencies:
+    ee-first "1.1.1"
+
+once@^1.3.0:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/once/-/once-1.4.0.tgz#583b1aa775961d4b113ac17d9c50baef9dd76bd1"
+  dependencies:
+    wrappy "1"
+
+opn@^5.1.0:
+  version "5.3.0"
+  resolved "https://registry.yarnpkg.com/opn/-/opn-5.3.0.tgz#64871565c863875f052cfdf53d3e3cb5adb53b1c"
+  dependencies:
+    is-wsl "^1.1.0"
+
+optionator@^0.8.1:
+  version "0.8.2"
+  resolved "https://registry.yarnpkg.com/optionator/-/optionator-0.8.2.tgz#364c5e409d3f4d6301d6c0b4c05bba50180aeb64"
+  dependencies:
+    deep-is "~0.1.3"
+    fast-levenshtein "~2.0.4"
+    levn "~0.3.0"
+    prelude-ls "~1.1.2"
+    type-check "~0.3.2"
+    wordwrap "~1.0.0"
+
+os-browserify@^0.3.0:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/os-browserify/-/os-browserify-0.3.0.tgz#854373c7f5c2315914fc9bfc6bd8238fdda1ec27"
+
+os-homedir@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/os-homedir/-/os-homedir-1.0.2.tgz#ffbc4988336e0e833de0c168c7ef152121aa7fb3"
+
+os-tmpdir@^1.0.0, os-tmpdir@^1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/os-tmpdir/-/os-tmpdir-1.0.2.tgz#bbe67406c79aa85c5cfec766fe5734555dfa1274"
+
+osenv@^0.1.4:
+  version "0.1.5"
+  resolved "https://registry.yarnpkg.com/osenv/-/osenv-0.1.5.tgz#85cdfafaeb28e8677f416e287592b5f3f49ea410"
+  dependencies:
+    os-homedir "^1.0.0"
+    os-tmpdir "^1.0.0"
+
+pako@^0.2.5:
+  version "0.2.9"
+  resolved "https://registry.yarnpkg.com/pako/-/pako-0.2.9.tgz#f3f7522f4ef782348da8161bad9ecfd51bf83a75"
+
+pako@~1.0.5:
+  version "1.0.6"
+  resolved "https://registry.yarnpkg.com/pako/-/pako-1.0.6.tgz#0101211baa70c4bca4a0f63f2206e97b7dfaf258"
+
+parcel-bundler@~1.8.1:
+  version "1.8.1"
+  resolved "https://registry.yarnpkg.com/parcel-bundler/-/parcel-bundler-1.8.1.tgz#ac62d0690786f51d7f309694bab6856f685a6986"
+  dependencies:
+    babel-code-frame "^6.26.0"
+    babel-core "^6.25.0"
+    babel-generator "^6.25.0"
+    babel-plugin-transform-es2015-modules-commonjs "^6.26.0"
+    babel-plugin-transform-react-jsx "^6.24.1"
+    babel-preset-env "^1.6.1"
+    babel-template "^6.26.0"
+    babel-traverse "^6.26.0"
+    babel-types "^6.26.0"
+    babylon "^6.17.4"
+    babylon-walk "^1.0.2"
+    browserslist "^3.2.6"
+    chalk "^2.1.0"
+    chokidar "^2.0.3"
+    command-exists "^1.2.6"
+    commander "^2.11.0"
+    cross-spawn "^6.0.4"
+    cssnano "^3.10.0"
+    deasync "^0.1.12"
+    dotenv "^5.0.0"
+    filesize "^3.6.0"
+    get-port "^3.2.0"
+    glob "^7.1.2"
+    grapheme-breaker "^0.3.2"
+    htmlnano "^0.1.9"
+    is-url "^1.2.2"
+    js-yaml "^3.10.0"
+    json5 "^1.0.1"
+    micromatch "^3.0.4"
+    mkdirp "^0.5.1"
+    node-forge "^0.7.1"
+    node-libs-browser "^2.0.0"
+    opn "^5.1.0"
+    physical-cpu-count "^2.0.0"
+    postcss "^6.0.19"
+    postcss-value-parser "^3.3.0"
+    posthtml "^0.11.2"
+    posthtml-parser "^0.4.0"
+    posthtml-render "^1.1.3"
+    resolve "^1.4.0"
+    semver "^5.4.1"
+    serialize-to-js "^1.1.1"
+    serve-static "^1.12.4"
+    source-map "0.6.1"
+    strip-ansi "^4.0.0"
+    toml "^2.3.3"
+    tomlify-j0.4 "^3.0.0"
+    uglify-es "^3.2.1"
+    v8-compile-cache "^2.0.0"
+    ws "^5.1.1"
+
+parse-asn1@^5.0.0:
+  version "5.1.1"
+  resolved "https://registry.yarnpkg.com/parse-asn1/-/parse-asn1-5.1.1.tgz#f6bf293818332bd0dab54efb16087724745e6ca8"
+  dependencies:
+    asn1.js "^4.0.0"
+    browserify-aes "^1.0.0"
+    create-hash "^1.1.0"
+    evp_bytestokey "^1.0.0"
+    pbkdf2 "^3.0.3"
+
+parseurl@~1.3.2:
+  version "1.3.2"
+  resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.2.tgz#fc289d4ed8993119460c156253262cdc8de65bf3"
+
+pascalcase@^0.1.1:
+  version "0.1.1"
+  resolved "https://registry.yarnpkg.com/pascalcase/-/pascalcase-0.1.1.tgz#b363e55e8006ca6fe21784d2db22bd15d7917f14"
+
+path-browserify@0.0.0:
+  version "0.0.0"
+  resolved "https://registry.yarnpkg.com/path-browserify/-/path-browserify-0.0.0.tgz#a0b870729aae214005b7d5032ec2cbbb0fb4451a"
+
+path-dirname@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/path-dirname/-/path-dirname-1.0.2.tgz#cc33d24d525e099a5388c0336c6e32b9160609e0"
+
+path-is-absolute@^1.0.0, path-is-absolute@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/path-is-absolute/-/path-is-absolute-1.0.1.tgz#174b9268735534ffbc7ace6bf53a5a9e1b5c5f5f"
+
+path-key@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/path-key/-/path-key-2.0.1.tgz#411cadb574c5a140d3a4b1910d40d80cc9f40b40"
+
+path-parse@^1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/path-parse/-/path-parse-1.0.5.tgz#3c1adf871ea9cd6c9431b6ea2bd74a0ff055c4c1"
+
+pbkdf2@^3.0.3:
+  version "3.0.16"
+  resolved "https://registry.yarnpkg.com/pbkdf2/-/pbkdf2-3.0.16.tgz#7404208ec6b01b62d85bf83853a8064f8d9c2a5c"
+  dependencies:
+    create-hash "^1.1.2"
+    create-hmac "^1.1.4"
+    ripemd160 "^2.0.1"
+    safe-buffer "^5.0.1"
+    sha.js "^2.4.8"
+
+physical-cpu-count@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/physical-cpu-count/-/physical-cpu-count-2.0.0.tgz#18de2f97e4bf7a9551ad7511942b5496f7aba660"
+
+posix-character-classes@^0.1.0:
+  version "0.1.1"
+  resolved "https://registry.yarnpkg.com/posix-character-classes/-/posix-character-classes-0.1.1.tgz#01eac0fe3b5af71a2a6c02feabb8c1fef7e00eab"
+
+postcss-calc@^5.2.0:
+  version "5.3.1"
+  resolved "https://registry.yarnpkg.com/postcss-calc/-/postcss-calc-5.3.1.tgz#77bae7ca928ad85716e2fda42f261bf7c1d65b5e"
+  dependencies:
+    postcss "^5.0.2"
+    postcss-message-helpers "^2.0.0"
+    reduce-css-calc "^1.2.6"
+
+postcss-colormin@^2.1.8:
+  version "2.2.2"
+  resolved "https://registry.yarnpkg.com/postcss-colormin/-/postcss-colormin-2.2.2.tgz#6631417d5f0e909a3d7ec26b24c8a8d1e4f96e4b"
+  dependencies:
+    colormin "^1.0.5"
+    postcss "^5.0.13"
+    postcss-value-parser "^3.2.3"
+
+postcss-convert-values@^2.3.4:
+  version "2.6.1"
+  resolved "https://registry.yarnpkg.com/postcss-convert-values/-/postcss-convert-values-2.6.1.tgz#bbd8593c5c1fd2e3d1c322bb925dcae8dae4d62d"
+  dependencies:
+    postcss "^5.0.11"
+    postcss-value-parser "^3.1.2"
+
+postcss-discard-comments@^2.0.4:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/postcss-discard-comments/-/postcss-discard-comments-2.0.4.tgz#befe89fafd5b3dace5ccce51b76b81514be00e3d"
+  dependencies:
+    postcss "^5.0.14"
+
+postcss-discard-duplicates@^2.0.1:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/postcss-discard-duplicates/-/postcss-discard-duplicates-2.1.0.tgz#b9abf27b88ac188158a5eb12abcae20263b91932"
+  dependencies:
+    postcss "^5.0.4"
+
+postcss-discard-empty@^2.0.1:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/postcss-discard-empty/-/postcss-discard-empty-2.1.0.tgz#d2b4bd9d5ced5ebd8dcade7640c7d7cd7f4f92b5"
+  dependencies:
+    postcss "^5.0.14"
+
+postcss-discard-overridden@^0.1.1:
+  version "0.1.1"
+  resolved "https://registry.yarnpkg.com/postcss-discard-overridden/-/postcss-discard-overridden-0.1.1.tgz#8b1eaf554f686fb288cd874c55667b0aa3668d58"
+  dependencies:
+    postcss "^5.0.16"
+
+postcss-discard-unused@^2.2.1:
+  version "2.2.3"
+  resolved "https://registry.yarnpkg.com/postcss-discard-unused/-/postcss-discard-unused-2.2.3.tgz#bce30b2cc591ffc634322b5fb3464b6d934f4433"
+  dependencies:
+    postcss "^5.0.14"
+    uniqs "^2.0.0"
+
+postcss-filter-plugins@^2.0.0:
+  version "2.0.3"
+  resolved "https://registry.yarnpkg.com/postcss-filter-plugins/-/postcss-filter-plugins-2.0.3.tgz#82245fdf82337041645e477114d8e593aa18b8ec"
+  dependencies:
+    postcss "^5.0.4"
+
+postcss-merge-idents@^2.1.5:
+  version "2.1.7"
+  resolved "https://registry.yarnpkg.com/postcss-merge-idents/-/postcss-merge-idents-2.1.7.tgz#4c5530313c08e1d5b3bbf3d2bbc747e278eea270"
+  dependencies:
+    has "^1.0.1"
+    postcss "^5.0.10"
+    postcss-value-parser "^3.1.1"
+
+postcss-merge-longhand@^2.0.1:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/postcss-merge-longhand/-/postcss-merge-longhand-2.0.2.tgz#23d90cd127b0a77994915332739034a1a4f3d658"
+  dependencies:
+    postcss "^5.0.4"
+
+postcss-merge-rules@^2.0.3:
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/postcss-merge-rules/-/postcss-merge-rules-2.1.2.tgz#d1df5dfaa7b1acc3be553f0e9e10e87c61b5f721"
+  dependencies:
+    browserslist "^1.5.2"
+    caniuse-api "^1.5.2"
+    postcss "^5.0.4"
+    postcss-selector-parser "^2.2.2"
+    vendors "^1.0.0"
+
+postcss-message-helpers@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/postcss-message-helpers/-/postcss-message-helpers-2.0.0.tgz#a4f2f4fab6e4fe002f0aed000478cdf52f9ba60e"
+
+postcss-minify-font-values@^1.0.2:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/postcss-minify-font-values/-/postcss-minify-font-values-1.0.5.tgz#4b58edb56641eba7c8474ab3526cafd7bbdecb69"
+  dependencies:
+    object-assign "^4.0.1"
+    postcss "^5.0.4"
+    postcss-value-parser "^3.0.2"
+
+postcss-minify-gradients@^1.0.1:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/postcss-minify-gradients/-/postcss-minify-gradients-1.0.5.tgz#5dbda11373703f83cfb4a3ea3881d8d75ff5e6e1"
+  dependencies:
+    postcss "^5.0.12"
+    postcss-value-parser "^3.3.0"
+
+postcss-minify-params@^1.0.4:
+  version "1.2.2"
+  resolved "https://registry.yarnpkg.com/postcss-minify-params/-/postcss-minify-params-1.2.2.tgz#ad2ce071373b943b3d930a3fa59a358c28d6f1f3"
+  dependencies:
+    alphanum-sort "^1.0.1"
+    postcss "^5.0.2"
+    postcss-value-parser "^3.0.2"
+    uniqs "^2.0.0"
+
+postcss-minify-selectors@^2.0.4:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/postcss-minify-selectors/-/postcss-minify-selectors-2.1.1.tgz#b2c6a98c0072cf91b932d1a496508114311735bf"
+  dependencies:
+    alphanum-sort "^1.0.2"
+    has "^1.0.1"
+    postcss "^5.0.14"
+    postcss-selector-parser "^2.0.0"
+
+postcss-normalize-charset@^1.1.0:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/postcss-normalize-charset/-/postcss-normalize-charset-1.1.1.tgz#ef9ee71212d7fe759c78ed162f61ed62b5cb93f1"
+  dependencies:
+    postcss "^5.0.5"
+
+postcss-normalize-url@^3.0.7:
+  version "3.0.8"
+  resolved "https://registry.yarnpkg.com/postcss-normalize-url/-/postcss-normalize-url-3.0.8.tgz#108f74b3f2fcdaf891a2ffa3ea4592279fc78222"
+  dependencies:
+    is-absolute-url "^2.0.0"
+    normalize-url "^1.4.0"
+    postcss "^5.0.14"
+    postcss-value-parser "^3.2.3"
+
+postcss-ordered-values@^2.1.0:
+  version "2.2.3"
+  resolved "https://registry.yarnpkg.com/postcss-ordered-values/-/postcss-ordered-values-2.2.3.tgz#eec6c2a67b6c412a8db2042e77fe8da43f95c11d"
+  dependencies:
+    postcss "^5.0.4"
+    postcss-value-parser "^3.0.1"
+
+postcss-reduce-idents@^2.2.2:
+  version "2.4.0"
+  resolved "https://registry.yarnpkg.com/postcss-reduce-idents/-/postcss-reduce-idents-2.4.0.tgz#c2c6d20cc958284f6abfbe63f7609bf409059ad3"
+  dependencies:
+    postcss "^5.0.4"
+    postcss-value-parser "^3.0.2"
+
+postcss-reduce-initial@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/postcss-reduce-initial/-/postcss-reduce-initial-1.0.1.tgz#68f80695f045d08263a879ad240df8dd64f644ea"
+  dependencies:
+    postcss "^5.0.4"
+
+postcss-reduce-transforms@^1.0.3:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/postcss-reduce-transforms/-/postcss-reduce-transforms-1.0.4.tgz#ff76f4d8212437b31c298a42d2e1444025771ae1"
+  dependencies:
+    has "^1.0.1"
+    postcss "^5.0.8"
+    postcss-value-parser "^3.0.1"
+
+postcss-selector-parser@^2.0.0, postcss-selector-parser@^2.2.2:
+  version "2.2.3"
+  resolved "https://registry.yarnpkg.com/postcss-selector-parser/-/postcss-selector-parser-2.2.3.tgz#f9437788606c3c9acee16ffe8d8b16297f27bb90"
+  dependencies:
+    flatten "^1.0.2"
+    indexes-of "^1.0.1"
+    uniq "^1.0.1"
+
+postcss-svgo@^2.1.1:
+  version "2.1.6"
+  resolved "https://registry.yarnpkg.com/postcss-svgo/-/postcss-svgo-2.1.6.tgz#b6df18aa613b666e133f08adb5219c2684ac108d"
+  dependencies:
+    is-svg "^2.0.0"
+    postcss "^5.0.14"
+    postcss-value-parser "^3.2.3"
+    svgo "^0.7.0"
+
+postcss-unique-selectors@^2.0.2:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/postcss-unique-selectors/-/postcss-unique-selectors-2.0.2.tgz#981d57d29ddcb33e7b1dfe1fd43b8649f933ca1d"
+  dependencies:
+    alphanum-sort "^1.0.1"
+    postcss "^5.0.4"
+    uniqs "^2.0.0"
+
+postcss-value-parser@^3.0.1, postcss-value-parser@^3.0.2, postcss-value-parser@^3.1.1, postcss-value-parser@^3.1.2, postcss-value-parser@^3.2.3, postcss-value-parser@^3.3.0:
+  version "3.3.0"
+  resolved "https://registry.yarnpkg.com/postcss-value-parser/-/postcss-value-parser-3.3.0.tgz#87f38f9f18f774a4ab4c8a232f5c5ce8872a9d15"
+
+postcss-zindex@^2.0.1:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/postcss-zindex/-/postcss-zindex-2.2.0.tgz#d2109ddc055b91af67fc4cb3b025946639d2af22"
+  dependencies:
+    has "^1.0.1"
+    postcss "^5.0.4"
+    uniqs "^2.0.0"
+
+postcss@^5.0.10, postcss@^5.0.11, postcss@^5.0.12, postcss@^5.0.13, postcss@^5.0.14, postcss@^5.0.16, postcss@^5.0.2, postcss@^5.0.4, postcss@^5.0.5, postcss@^5.0.8, postcss@^5.2.16:
+  version "5.2.18"
+  resolved "https://registry.yarnpkg.com/postcss/-/postcss-5.2.18.tgz#badfa1497d46244f6390f58b319830d9107853c5"
+  dependencies:
+    chalk "^1.1.3"
+    js-base64 "^2.1.9"
+    source-map "^0.5.6"
+    supports-color "^3.2.3"
+
+postcss@^6.0.19:
+  version "6.0.23"
+  resolved "https://registry.yarnpkg.com/postcss/-/postcss-6.0.23.tgz#61c82cc328ac60e677645f979054eb98bc0e3324"
+  dependencies:
+    chalk "^2.4.1"
+    source-map "^0.6.1"
+    supports-color "^5.4.0"
+
+posthtml-parser@^0.3.3:
+  version "0.3.3"
+  resolved "https://registry.yarnpkg.com/posthtml-parser/-/posthtml-parser-0.3.3.tgz#3fe986fca9f00c0f109d731ba590b192f26e776d"
+  dependencies:
+    htmlparser2 "^3.9.2"
+    isobject "^2.1.0"
+    object-assign "^4.1.1"
+
+posthtml-parser@^0.4.0:
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/posthtml-parser/-/posthtml-parser-0.4.1.tgz#95b78fef766fbbe0a6f861b6e95582bc3d1ff933"
+  dependencies:
+    htmlparser2 "^3.9.2"
+    object-assign "^4.1.1"
+
+posthtml-render@^1.1.0, posthtml-render@^1.1.3:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/posthtml-render/-/posthtml-render-1.1.4.tgz#95dac09892f4f183fad5ac823f08f42c0256551e"
+
+posthtml@^0.11.2, posthtml@^0.11.3:
+  version "0.11.3"
+  resolved "https://registry.yarnpkg.com/posthtml/-/posthtml-0.11.3.tgz#17ea2921b0555b7455f33c977bd16d8b8cb74f27"
+  dependencies:
+    object-assign "^4.1.1"
+    posthtml-parser "^0.3.3"
+    posthtml-render "^1.1.0"
+
+prelude-ls@~1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/prelude-ls/-/prelude-ls-1.1.2.tgz#21932a549f5e52ffd9a827f570e04be62a97da54"
+
+prepend-http@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/prepend-http/-/prepend-http-1.0.4.tgz#d4f4562b0ce3696e41ac52d0e002e57a635dc6dc"
+
+private@^0.1.6, private@^0.1.8:
+  version "0.1.8"
+  resolved "https://registry.yarnpkg.com/private/-/private-0.1.8.tgz#2381edb3689f7a53d653190060fcf822d2f368ff"
+
+process-nextick-args@~2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/process-nextick-args/-/process-nextick-args-2.0.0.tgz#a37d732f4271b4ab1ad070d35508e8290788ffaa"
+
+process@^0.11.10:
+  version "0.11.10"
+  resolved "https://registry.yarnpkg.com/process/-/process-0.11.10.tgz#7332300e840161bda3e69a1d1d91a7d4bc16f182"
+
+proto-list@~1.2.1:
+  version "1.2.4"
+  resolved "https://registry.yarnpkg.com/proto-list/-/proto-list-1.2.4.tgz#212d5bfe1318306a420f6402b8e26ff39647a849"
+
+protobufjs@~6.8.6:
+  version "6.8.6"
+  resolved "https://registry.yarnpkg.com/protobufjs/-/protobufjs-6.8.6.tgz#ce3cf4fff9625b62966c455fc4c15e4331a11ca2"
+  dependencies:
+    "@protobufjs/aspromise" "^1.1.2"
+    "@protobufjs/base64" "^1.1.2"
+    "@protobufjs/codegen" "^2.0.4"
+    "@protobufjs/eventemitter" "^1.1.0"
+    "@protobufjs/fetch" "^1.1.0"
+    "@protobufjs/float" "^1.0.2"
+    "@protobufjs/inquire" "^1.1.0"
+    "@protobufjs/path" "^1.1.2"
+    "@protobufjs/pool" "^1.1.0"
+    "@protobufjs/utf8" "^1.1.0"
+    "@types/long" "^3.0.32"
+    "@types/node" "^8.9.4"
+    long "^4.0.0"
+
+pseudomap@^1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/pseudomap/-/pseudomap-1.0.2.tgz#f052a28da70e618917ef0a8ac34c1ae5a68286b3"
+
+public-encrypt@^4.0.0:
+  version "4.0.2"
+  resolved "https://registry.yarnpkg.com/public-encrypt/-/public-encrypt-4.0.2.tgz#46eb9107206bf73489f8b85b69d91334c6610994"
+  dependencies:
+    bn.js "^4.1.0"
+    browserify-rsa "^4.0.0"
+    create-hash "^1.1.0"
+    parse-asn1 "^5.0.0"
+    randombytes "^2.0.1"
+
+punycode@1.3.2:
+  version "1.3.2"
+  resolved "https://registry.yarnpkg.com/punycode/-/punycode-1.3.2.tgz#9653a036fb7c1ee42342f2325cceefea3926c48d"
+
+punycode@^1.2.4:
+  version "1.4.1"
+  resolved "https://registry.yarnpkg.com/punycode/-/punycode-1.4.1.tgz#c0d5a63b2718800ad8e1eb0fa5269c84dd41845e"
+
+q@^1.1.2:
+  version "1.5.1"
+  resolved "https://registry.yarnpkg.com/q/-/q-1.5.1.tgz#7e32f75b41381291d04611f1bf14109ac00651d7"
+
+query-string@^4.1.0:
+  version "4.3.4"
+  resolved "https://registry.yarnpkg.com/query-string/-/query-string-4.3.4.tgz#bbb693b9ca915c232515b228b1a02b609043dbeb"
+  dependencies:
+    object-assign "^4.1.0"
+    strict-uri-encode "^1.0.0"
+
+querystring-es3@^0.2.0:
+  version "0.2.1"
+  resolved "https://registry.yarnpkg.com/querystring-es3/-/querystring-es3-0.2.1.tgz#9ec61f79049875707d69414596fd907a4d711e73"
+
+querystring@0.2.0:
+  version "0.2.0"
+  resolved "https://registry.yarnpkg.com/querystring/-/querystring-0.2.0.tgz#b209849203bb25df820da756e747005878521620"
+
+quote-stream@^1.0.1, quote-stream@~1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/quote-stream/-/quote-stream-1.0.2.tgz#84963f8c9c26b942e153feeb53aae74652b7e0b2"
+  dependencies:
+    buffer-equal "0.0.1"
+    minimist "^1.1.3"
+    through2 "^2.0.0"
+
+randombytes@^2.0.0, randombytes@^2.0.1, randombytes@^2.0.5:
+  version "2.0.6"
+  resolved "https://registry.yarnpkg.com/randombytes/-/randombytes-2.0.6.tgz#d302c522948588848a8d300c932b44c24231da80"
+  dependencies:
+    safe-buffer "^5.1.0"
+
+randomfill@^1.0.3:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/randomfill/-/randomfill-1.0.4.tgz#c92196fc86ab42be983f1bf31778224931d61458"
+  dependencies:
+    randombytes "^2.0.5"
+    safe-buffer "^5.1.0"
+
+range-parser@~1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/range-parser/-/range-parser-1.2.0.tgz#f49be6b487894ddc40dcc94a322f611092e00d5e"
+
+rc@^1.1.7:
+  version "1.2.8"
+  resolved "https://registry.yarnpkg.com/rc/-/rc-1.2.8.tgz#cd924bf5200a075b83c188cd6b9e211b7fc0d3ed"
+  dependencies:
+    deep-extend "^0.6.0"
+    ini "~1.3.0"
+    minimist "^1.2.0"
+    strip-json-comments "~2.0.1"
+
+readable-stream@^2.0.2, readable-stream@^2.0.6, readable-stream@^2.1.5, readable-stream@^2.2.2, readable-stream@^2.3.3, readable-stream@^2.3.6, readable-stream@~2.3.3:
+  version "2.3.6"
+  resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-2.3.6.tgz#b11c27d88b8ff1fbe070643cf94b0c79ae1b0aaf"
+  dependencies:
+    core-util-is "~1.0.0"
+    inherits "~2.0.3"
+    isarray "~1.0.0"
+    process-nextick-args "~2.0.0"
+    safe-buffer "~5.1.1"
+    string_decoder "~1.1.1"
+    util-deprecate "~1.0.1"
+
+readdirp@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/readdirp/-/readdirp-2.1.0.tgz#4ed0ad060df3073300c48440373f72d1cc642d78"
+  dependencies:
+    graceful-fs "^4.1.2"
+    minimatch "^3.0.2"
+    readable-stream "^2.0.2"
+    set-immediate-shim "^1.0.1"
+
+reduce-css-calc@^1.2.6:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/reduce-css-calc/-/reduce-css-calc-1.3.0.tgz#747c914e049614a4c9cfbba629871ad1d2927716"
+  dependencies:
+    balanced-match "^0.4.2"
+    math-expression-evaluator "^1.2.14"
+    reduce-function-call "^1.0.1"
+
+reduce-function-call@^1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/reduce-function-call/-/reduce-function-call-1.0.2.tgz#5a200bf92e0e37751752fe45b0ab330fd4b6be99"
+  dependencies:
+    balanced-match "^0.4.2"
+
+regenerate@^1.2.1:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/regenerate/-/regenerate-1.4.0.tgz#4a856ec4b56e4077c557589cae85e7a4c8869a11"
+
+regenerator-runtime@^0.10.5:
+  version "0.10.5"
+  resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.10.5.tgz#336c3efc1220adcedda2c9fab67b5a7955a33658"
+
+regenerator-runtime@^0.11.0:
+  version "0.11.1"
+  resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.11.1.tgz#be05ad7f9bf7d22e056f9726cee5017fbf19e2e9"
+
+regenerator-transform@^0.10.0:
+  version "0.10.1"
+  resolved "https://registry.yarnpkg.com/regenerator-transform/-/regenerator-transform-0.10.1.tgz#1e4996837231da8b7f3cf4114d71b5691a0680dd"
+  dependencies:
+    babel-runtime "^6.18.0"
+    babel-types "^6.19.0"
+    private "^0.1.6"
+
+regex-not@^1.0.0, regex-not@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/regex-not/-/regex-not-1.0.2.tgz#1f4ece27e00b0b65e0247a6810e6a85d83a5752c"
+  dependencies:
+    extend-shallow "^3.0.2"
+    safe-regex "^1.1.0"
+
+regexpu-core@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/regexpu-core/-/regexpu-core-2.0.0.tgz#49d038837b8dcf8bfa5b9a42139938e6ea2ae240"
+  dependencies:
+    regenerate "^1.2.1"
+    regjsgen "^0.2.0"
+    regjsparser "^0.1.4"
+
+regjsgen@^0.2.0:
+  version "0.2.0"
+  resolved "https://registry.yarnpkg.com/regjsgen/-/regjsgen-0.2.0.tgz#6c016adeac554f75823fe37ac05b92d5a4edb1f7"
+
+regjsparser@^0.1.4:
+  version "0.1.5"
+  resolved "https://registry.yarnpkg.com/regjsparser/-/regjsparser-0.1.5.tgz#7ee8f84dc6fa792d3fd0ae228d24bd949ead205c"
+  dependencies:
+    jsesc "~0.5.0"
+
+remove-trailing-separator@^1.0.1:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/remove-trailing-separator/-/remove-trailing-separator-1.1.0.tgz#c24bce2a283adad5bc3f58e0d48249b92379d8ef"
+
+repeat-element@^1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/repeat-element/-/repeat-element-1.1.2.tgz#ef089a178d1483baae4d93eb98b4f9e4e11d990a"
+
+repeat-string@^1.6.1:
+  version "1.6.1"
+  resolved "https://registry.yarnpkg.com/repeat-string/-/repeat-string-1.6.1.tgz#8dcae470e1c88abc2d600fff4a776286da75e637"
+
+repeating@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/repeating/-/repeating-2.0.1.tgz#5214c53a926d3552707527fbab415dbc08d06dda"
+  dependencies:
+    is-finite "^1.0.0"
+
+resolve-url@^0.2.1:
+  version "0.2.1"
+  resolved "https://registry.yarnpkg.com/resolve-url/-/resolve-url-0.2.1.tgz#2c637fe77c893afd2a663fe21aa9080068e2052a"
+
+resolve@^1.1.5, resolve@^1.1.6, resolve@^1.4.0:
+  version "1.8.1"
+  resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.8.1.tgz#82f1ec19a423ac1fbd080b0bab06ba36e84a7a26"
+  dependencies:
+    path-parse "^1.0.5"
+
+ret@~0.1.10:
+  version "0.1.15"
+  resolved "https://registry.yarnpkg.com/ret/-/ret-0.1.15.tgz#b8a4825d5bdb1fc3f6f53c2bc33f81388681c7bc"
+
+rimraf@^2.6.1:
+  version "2.6.2"
+  resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-2.6.2.tgz#2ed8150d24a16ea8651e6d6ef0f47c4158ce7a36"
+  dependencies:
+    glob "^7.0.5"
+
+ripemd160@^2.0.0, ripemd160@^2.0.1:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/ripemd160/-/ripemd160-2.0.2.tgz#a1c1a6f624751577ba5d07914cbc92850585890c"
+  dependencies:
+    hash-base "^3.0.0"
+    inherits "^2.0.1"
+
+safe-buffer@^5.0.1, safe-buffer@^5.1.0, safe-buffer@^5.1.1, safe-buffer@^5.1.2, safe-buffer@~5.1.0, safe-buffer@~5.1.1:
+  version "5.1.2"
+  resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.1.2.tgz#991ec69d296e0313747d59bdfd2b745c35f8828d"
+
+safe-regex@^1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/safe-regex/-/safe-regex-1.1.0.tgz#40a3669f3b077d1e943d44629e157dd48023bf2e"
+  dependencies:
+    ret "~0.1.10"
+
+"safer-buffer@>= 2.1.2 < 3":
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
+
+safer-eval@^1.2.3:
+  version "1.2.3"
+  resolved "https://registry.yarnpkg.com/safer-eval/-/safer-eval-1.2.3.tgz#73ba74a34bc8a07d6a44135c815fd18a8eebe7a0"
+  dependencies:
+    clones "^1.1.0"
+
+sax@^1.2.4, sax@~1.2.1, sax@~1.2.4:
+  version "1.2.4"
+  resolved "https://registry.yarnpkg.com/sax/-/sax-1.2.4.tgz#2816234e2378bddc4e5354fab5caa895df7100d9"
+
+seedrandom@~2.4.3:
+  version "2.4.3"
+  resolved "https://registry.yarnpkg.com/seedrandom/-/seedrandom-2.4.3.tgz#2438504dad33917314bff18ac4d794f16d6aaecc"
+
+semver@^5.1.0, semver@^5.3.0, semver@^5.4.1, semver@^5.5.0:
+  version "5.5.0"
+  resolved "https://registry.yarnpkg.com/semver/-/semver-5.5.0.tgz#dc4bbc7a6ca9d916dee5d43516f0092b58f7b8ab"
+
+send@0.16.2:
+  version "0.16.2"
+  resolved "https://registry.yarnpkg.com/send/-/send-0.16.2.tgz#6ecca1e0f8c156d141597559848df64730a6bbc1"
+  dependencies:
+    debug "2.6.9"
+    depd "~1.1.2"
+    destroy "~1.0.4"
+    encodeurl "~1.0.2"
+    escape-html "~1.0.3"
+    etag "~1.8.1"
+    fresh "0.5.2"
+    http-errors "~1.6.2"
+    mime "1.4.1"
+    ms "2.0.0"
+    on-finished "~2.3.0"
+    range-parser "~1.2.0"
+    statuses "~1.4.0"
+
+serialize-to-js@^1.1.1:
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/serialize-to-js/-/serialize-to-js-1.2.1.tgz#2e87f61f938826d24c463a7cbd0dd2929ec38008"
+  dependencies:
+    js-beautify "^1.7.5"
+    safer-eval "^1.2.3"
+
+serve-static@^1.12.4:
+  version "1.13.2"
+  resolved "https://registry.yarnpkg.com/serve-static/-/serve-static-1.13.2.tgz#095e8472fd5b46237db50ce486a43f4b86c6cec1"
+  dependencies:
+    encodeurl "~1.0.2"
+    escape-html "~1.0.3"
+    parseurl "~1.3.2"
+    send "0.16.2"
+
+set-blocking@~2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/set-blocking/-/set-blocking-2.0.0.tgz#045f9782d011ae9a6803ddd382b24392b3d890f7"
+
+set-immediate-shim@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/set-immediate-shim/-/set-immediate-shim-1.0.1.tgz#4b2b1b27eb808a9f8dcc481a58e5e56f599f3f61"
+
+set-value@^0.4.3:
+  version "0.4.3"
+  resolved "https://registry.yarnpkg.com/set-value/-/set-value-0.4.3.tgz#7db08f9d3d22dc7f78e53af3c3bf4666ecdfccf1"
+  dependencies:
+    extend-shallow "^2.0.1"
+    is-extendable "^0.1.1"
+    is-plain-object "^2.0.1"
+    to-object-path "^0.3.0"
+
+set-value@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/set-value/-/set-value-2.0.0.tgz#71ae4a88f0feefbbf52d1ea604f3fb315ebb6274"
+  dependencies:
+    extend-shallow "^2.0.1"
+    is-extendable "^0.1.1"
+    is-plain-object "^2.0.3"
+    split-string "^3.0.1"
+
+setimmediate@^1.0.4:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/setimmediate/-/setimmediate-1.0.5.tgz#290cbb232e306942d7d7ea9b83732ab7856f8285"
+
+setprototypeof@1.1.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/setprototypeof/-/setprototypeof-1.1.0.tgz#d0bd85536887b6fe7c0d818cb962d9d91c54e656"
+
+sha.js@^2.4.0, sha.js@^2.4.8:
+  version "2.4.11"
+  resolved "https://registry.yarnpkg.com/sha.js/-/sha.js-2.4.11.tgz#37a5cf0b81ecbc6943de109ba2960d1b26584ae7"
+  dependencies:
+    inherits "^2.0.1"
+    safe-buffer "^5.0.1"
+
+shallow-copy@~0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/shallow-copy/-/shallow-copy-0.0.1.tgz#415f42702d73d810330292cc5ee86eae1a11a170"
+
+shebang-command@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/shebang-command/-/shebang-command-1.2.0.tgz#44aac65b695b03398968c39f363fee5deafdf1ea"
+  dependencies:
+    shebang-regex "^1.0.0"
+
+shebang-regex@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/shebang-regex/-/shebang-regex-1.0.0.tgz#da42f49740c0b42db2ca9728571cb190c98efea3"
+
+sigmund@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/sigmund/-/sigmund-1.0.1.tgz#3ff21f198cad2175f9f3b781853fd94d0d19b590"
+
+signal-exit@^3.0.0:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.2.tgz#b5fdc08f1287ea1178628e415e25132b73646c6d"
+
+slash@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/slash/-/slash-1.0.0.tgz#c41f2f6c39fc16d1cd17ad4b5d896114ae470d55"
+
+snapdragon-node@^2.0.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/snapdragon-node/-/snapdragon-node-2.1.1.tgz#6c175f86ff14bdb0724563e8f3c1b021a286853b"
+  dependencies:
+    define-property "^1.0.0"
+    isobject "^3.0.0"
+    snapdragon-util "^3.0.1"
+
+snapdragon-util@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/snapdragon-util/-/snapdragon-util-3.0.1.tgz#f956479486f2acd79700693f6f7b805e45ab56e2"
+  dependencies:
+    kind-of "^3.2.0"
+
+snapdragon@^0.8.1:
+  version "0.8.2"
+  resolved "https://registry.yarnpkg.com/snapdragon/-/snapdragon-0.8.2.tgz#64922e7c565b0e14204ba1aa7d6964278d25182d"
+  dependencies:
+    base "^0.11.1"
+    debug "^2.2.0"
+    define-property "^0.2.5"
+    extend-shallow "^2.0.1"
+    map-cache "^0.2.2"
+    source-map "^0.5.6"
+    source-map-resolve "^0.5.0"
+    use "^3.1.0"
+
+sort-keys@^1.0.0:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/sort-keys/-/sort-keys-1.1.2.tgz#441b6d4d346798f1b4e49e8920adfba0e543f9ad"
+  dependencies:
+    is-plain-obj "^1.0.0"
+
+source-map-resolve@^0.5.0:
+  version "0.5.2"
+  resolved "https://registry.yarnpkg.com/source-map-resolve/-/source-map-resolve-0.5.2.tgz#72e2cc34095543e43b2c62b2c4c10d4a9054f259"
+  dependencies:
+    atob "^2.1.1"
+    decode-uri-component "^0.2.0"
+    resolve-url "^0.2.1"
+    source-map-url "^0.4.0"
+    urix "^0.1.0"
+
+source-map-support@^0.4.15:
+  version "0.4.18"
+  resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.4.18.tgz#0286a6de8be42641338594e97ccea75f0a2c585f"
+  dependencies:
+    source-map "^0.5.6"
+
+source-map-url@^0.4.0:
+  version "0.4.0"
+  resolved "https://registry.yarnpkg.com/source-map-url/-/source-map-url-0.4.0.tgz#3e935d7ddd73631b97659956d55128e87b5084a3"
+
+source-map@0.6.1, source-map@^0.6.1, source-map@~0.6.1:
+  version "0.6.1"
+  resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
+
+source-map@^0.5.3, source-map@^0.5.6, source-map@^0.5.7:
+  version "0.5.7"
+  resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.5.7.tgz#8a039d2d1021d22d1ea14c80d8ea468ba2ef3fcc"
+
+split-string@^3.0.1, split-string@^3.0.2:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/split-string/-/split-string-3.1.0.tgz#7cb09dda3a86585705c64b39a6466038682e8fe2"
+  dependencies:
+    extend-shallow "^3.0.0"
+
+sprintf-js@~1.0.2:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/sprintf-js/-/sprintf-js-1.0.3.tgz#04e6926f662895354f3dd015203633b857297e2c"
+
+stable@~0.1.6:
+  version "0.1.8"
+  resolved "https://registry.yarnpkg.com/stable/-/stable-0.1.8.tgz#836eb3c8382fe2936feaf544631017ce7d47a3cf"
+
+static-eval@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/static-eval/-/static-eval-2.0.0.tgz#0e821f8926847def7b4b50cda5d55c04a9b13864"
+  dependencies:
+    escodegen "^1.8.1"
+
+static-extend@^0.1.1:
+  version "0.1.2"
+  resolved "https://registry.yarnpkg.com/static-extend/-/static-extend-0.1.2.tgz#60809c39cbff55337226fd5e0b520f341f1fb5c6"
+  dependencies:
+    define-property "^0.2.5"
+    object-copy "^0.1.0"
+
+static-module@^2.2.0:
+  version "2.2.5"
+  resolved "https://registry.yarnpkg.com/static-module/-/static-module-2.2.5.tgz#bd40abceae33da6b7afb84a0e4329ff8852bfbbf"
+  dependencies:
+    concat-stream "~1.6.0"
+    convert-source-map "^1.5.1"
+    duplexer2 "~0.1.4"
+    escodegen "~1.9.0"
+    falafel "^2.1.0"
+    has "^1.0.1"
+    magic-string "^0.22.4"
+    merge-source-map "1.0.4"
+    object-inspect "~1.4.0"
+    quote-stream "~1.0.2"
+    readable-stream "~2.3.3"
+    shallow-copy "~0.0.1"
+    static-eval "^2.0.0"
+    through2 "~2.0.3"
+
+"statuses@>= 1.4.0 < 2":
+  version "1.5.0"
+  resolved "https://registry.yarnpkg.com/statuses/-/statuses-1.5.0.tgz#161c7dac177659fd9811f43771fa99381478628c"
+
+statuses@~1.4.0:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/statuses/-/statuses-1.4.0.tgz#bb73d446da2796106efcc1b601a253d6c46bd087"
+
+stream-browserify@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/stream-browserify/-/stream-browserify-2.0.1.tgz#66266ee5f9bdb9940a4e4514cafb43bb71e5c9db"
+  dependencies:
+    inherits "~2.0.1"
+    readable-stream "^2.0.2"
+
+stream-http@^2.7.2:
+  version "2.8.3"
+  resolved "https://registry.yarnpkg.com/stream-http/-/stream-http-2.8.3.tgz#b2d242469288a5a27ec4fe8933acf623de6514fc"
+  dependencies:
+    builtin-status-codes "^3.0.0"
+    inherits "^2.0.1"
+    readable-stream "^2.3.6"
+    to-arraybuffer "^1.0.0"
+    xtend "^4.0.0"
+
+strict-uri-encode@^1.0.0:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/strict-uri-encode/-/strict-uri-encode-1.1.0.tgz#279b225df1d582b1f54e65addd4352e18faa0713"
+
+string-width@^1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/string-width/-/string-width-1.0.2.tgz#118bdf5b8cdc51a2a7e70d211e07e2b0b9b107d3"
+  dependencies:
+    code-point-at "^1.0.0"
+    is-fullwidth-code-point "^1.0.0"
+    strip-ansi "^3.0.0"
+
+"string-width@^1.0.2 || 2":
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/string-width/-/string-width-2.1.1.tgz#ab93f27a8dc13d28cac815c462143a6d9012ae9e"
+  dependencies:
+    is-fullwidth-code-point "^2.0.0"
+    strip-ansi "^4.0.0"
+
+string_decoder@^1.0.0, string_decoder@~1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/string_decoder/-/string_decoder-1.1.1.tgz#9cf1611ba62685d7030ae9e4ba34149c3af03fc8"
+  dependencies:
+    safe-buffer "~5.1.0"
+
+strip-ansi@^3.0.0, strip-ansi@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-3.0.1.tgz#6a385fb8853d952d5ff05d0e8aaf94278dc63dcf"
+  dependencies:
+    ansi-regex "^2.0.0"
+
+strip-ansi@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-4.0.0.tgz#a8479022eb1ac368a871389b635262c505ee368f"
+  dependencies:
+    ansi-regex "^3.0.0"
+
+strip-json-comments@~2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
+
+supports-color@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-2.0.0.tgz#535d045ce6b6363fa40117084629995e9df324c7"
+
+supports-color@^3.2.3:
+  version "3.2.3"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-3.2.3.tgz#65ac0504b3954171d8a64946b2ae3cbb8a5f54f6"
+  dependencies:
+    has-flag "^1.0.0"
+
+supports-color@^5.3.0, supports-color@^5.4.0:
+  version "5.4.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.4.0.tgz#1c6b337402c2137605efe19f10fec390f6faab54"
+  dependencies:
+    has-flag "^3.0.0"
+
+svgo@^0.7.0:
+  version "0.7.2"
+  resolved "https://registry.yarnpkg.com/svgo/-/svgo-0.7.2.tgz#9f5772413952135c6fefbf40afe6a4faa88b4bb5"
+  dependencies:
+    coa "~1.0.1"
+    colors "~1.1.2"
+    csso "~2.3.1"
+    js-yaml "~3.7.0"
+    mkdirp "~0.5.1"
+    sax "~1.2.1"
+    whet.extend "~0.9.9"
+
+svgo@^1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/svgo/-/svgo-1.0.5.tgz#7040364c062a0538abacff4401cea6a26a7a389a"
+  dependencies:
+    coa "~2.0.1"
+    colors "~1.1.2"
+    css-select "~1.3.0-rc0"
+    css-select-base-adapter "~0.1.0"
+    css-tree "1.0.0-alpha25"
+    css-url-regex "^1.1.0"
+    csso "^3.5.0"
+    js-yaml "~3.10.0"
+    mkdirp "~0.5.1"
+    object.values "^1.0.4"
+    sax "~1.2.4"
+    stable "~0.1.6"
+    unquote "~1.1.1"
+    util.promisify "~1.0.0"
+
+tar@^4:
+  version "4.4.4"
+  resolved "https://registry.yarnpkg.com/tar/-/tar-4.4.4.tgz#ec8409fae9f665a4355cc3b4087d0820232bb8cd"
+  dependencies:
+    chownr "^1.0.1"
+    fs-minipass "^1.2.5"
+    minipass "^2.3.3"
+    minizlib "^1.1.0"
+    mkdirp "^0.5.0"
+    safe-buffer "^5.1.2"
+    yallist "^3.0.2"
+
+through2@^2.0.0, through2@~2.0.3:
+  version "2.0.3"
+  resolved "https://registry.yarnpkg.com/through2/-/through2-2.0.3.tgz#0004569b37c7c74ba39c43f3ced78d1ad94140be"
+  dependencies:
+    readable-stream "^2.1.5"
+    xtend "~4.0.1"
+
+timers-browserify@^2.0.4:
+  version "2.0.10"
+  resolved "https://registry.yarnpkg.com/timers-browserify/-/timers-browserify-2.0.10.tgz#1d28e3d2aadf1d5a5996c4e9f95601cd053480ae"
+  dependencies:
+    setimmediate "^1.0.4"
+
+tiny-inflate@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/tiny-inflate/-/tiny-inflate-1.0.2.tgz#93d9decffc8805bd57eae4310f0b745e9b6fb3a7"
+
+to-arraybuffer@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/to-arraybuffer/-/to-arraybuffer-1.0.1.tgz#7d229b1fcc637e466ca081180836a7aabff83f43"
+
+to-fast-properties@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/to-fast-properties/-/to-fast-properties-1.0.3.tgz#b83571fa4d8c25b82e231b06e3a3055de4ca1a47"
+
+to-object-path@^0.3.0:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/to-object-path/-/to-object-path-0.3.0.tgz#297588b7b0e7e0ac08e04e672f85c1f4999e17af"
+  dependencies:
+    kind-of "^3.0.2"
+
+to-regex-range@^2.1.0:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/to-regex-range/-/to-regex-range-2.1.1.tgz#7c80c17b9dfebe599e27367e0d4dd5590141db38"
+  dependencies:
+    is-number "^3.0.0"
+    repeat-string "^1.6.1"
+
+to-regex@^3.0.1, to-regex@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/to-regex/-/to-regex-3.0.2.tgz#13cfdd9b336552f30b51f33a8ae1b42a7a7599ce"
+  dependencies:
+    define-property "^2.0.2"
+    extend-shallow "^3.0.2"
+    regex-not "^1.0.2"
+    safe-regex "^1.1.0"
+
+toml@^2.3.3:
+  version "2.3.3"
+  resolved "https://registry.yarnpkg.com/toml/-/toml-2.3.3.tgz#8d683d729577cb286231dfc7a8affe58d31728fb"
+
+tomlify-j0.4@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/tomlify-j0.4/-/tomlify-j0.4-3.0.0.tgz#99414d45268c3a3b8bf38be82145b7bba34b7473"
+
+trim-right@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/trim-right/-/trim-right-1.0.1.tgz#cb2e1203067e0c8de1f614094b9fe45704ea6003"
+
+tty-browserify@0.0.0:
+  version "0.0.0"
+  resolved "https://registry.yarnpkg.com/tty-browserify/-/tty-browserify-0.0.0.tgz#a157ba402da24e9bf957f9aa69d524eed42901a6"
+
+type-check@~0.3.2:
+  version "0.3.2"
+  resolved "https://registry.yarnpkg.com/type-check/-/type-check-0.3.2.tgz#5884cab512cf1d355e3fb784f30804b2b520db72"
+  dependencies:
+    prelude-ls "~1.1.2"
+
+typedarray@^0.0.6:
+  version "0.0.6"
+  resolved "https://registry.yarnpkg.com/typedarray/-/typedarray-0.0.6.tgz#867ac74e3864187b1d3d47d996a78ec5c8830777"
+
+uglify-es@^3.2.1, uglify-es@^3.3.9:
+  version "3.3.9"
+  resolved "https://registry.yarnpkg.com/uglify-es/-/uglify-es-3.3.9.tgz#0c1c4f0700bed8dbc124cdb304d2592ca203e677"
+  dependencies:
+    commander "~2.13.0"
+    source-map "~0.6.1"
+
+unicode-trie@^0.3.1:
+  version "0.3.1"
+  resolved "https://registry.yarnpkg.com/unicode-trie/-/unicode-trie-0.3.1.tgz#d671dddd89101a08bac37b6a5161010602052085"
+  dependencies:
+    pako "^0.2.5"
+    tiny-inflate "^1.0.0"
+
+union-value@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/union-value/-/union-value-1.0.0.tgz#5c71c34cb5bad5dcebe3ea0cd08207ba5aa1aea4"
+  dependencies:
+    arr-union "^3.1.0"
+    get-value "^2.0.6"
+    is-extendable "^0.1.1"
+    set-value "^0.4.3"
+
+uniq@^1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/uniq/-/uniq-1.0.1.tgz#b31c5ae8254844a3a8281541ce2b04b865a734ff"
+
+uniqs@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/uniqs/-/uniqs-2.0.0.tgz#ffede4b36b25290696e6e165d4a59edb998e6b02"
+
+unquote@~1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/unquote/-/unquote-1.1.1.tgz#8fded7324ec6e88a0ff8b905e7c098cdc086d544"
+
+unset-value@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/unset-value/-/unset-value-1.0.0.tgz#8376873f7d2335179ffb1e6fc3a8ed0dfc8ab559"
+  dependencies:
+    has-value "^0.3.1"
+    isobject "^3.0.0"
+
+upath@^1.0.5:
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/upath/-/upath-1.1.0.tgz#35256597e46a581db4793d0ce47fa9aebfc9fabd"
+
+urix@^0.1.0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/urix/-/urix-0.1.0.tgz#da937f7a62e21fec1fd18d49b35c2935067a6c72"
+
+url@^0.11.0:
+  version "0.11.0"
+  resolved "https://registry.yarnpkg.com/url/-/url-0.11.0.tgz#3838e97cfc60521eb73c525a8e55bfdd9e2e28f1"
+  dependencies:
+    punycode "1.3.2"
+    querystring "0.2.0"
+
+use@^3.1.0:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/use/-/use-3.1.0.tgz#14716bf03fdfefd03040aef58d8b4b85f3a7c544"
+  dependencies:
+    kind-of "^6.0.2"
+
+util-deprecate@~1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/util-deprecate/-/util-deprecate-1.0.2.tgz#450d4dc9fa70de732762fbd2d4a28981419a0ccf"
+
+util.promisify@~1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/util.promisify/-/util.promisify-1.0.0.tgz#440f7165a459c9a16dc145eb8e72f35687097030"
+  dependencies:
+    define-properties "^1.1.2"
+    object.getownpropertydescriptors "^2.0.3"
+
+util@0.10.3:
+  version "0.10.3"
+  resolved "https://registry.yarnpkg.com/util/-/util-0.10.3.tgz#7afb1afe50805246489e3db7fe0ed379336ac0f9"
+  dependencies:
+    inherits "2.0.1"
+
+util@^0.10.3:
+  version "0.10.4"
+  resolved "https://registry.yarnpkg.com/util/-/util-0.10.4.tgz#3aa0125bfe668a4672de58857d3ace27ecb76901"
+  dependencies:
+    inherits "2.0.3"
+
+v8-compile-cache@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/v8-compile-cache/-/v8-compile-cache-2.0.0.tgz#526492e35fc616864284700b7043e01baee09f0a"
+
+vendors@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/vendors/-/vendors-1.0.2.tgz#7fcb5eef9f5623b156bcea89ec37d63676f21801"
+
+vlq@^0.2.2:
+  version "0.2.3"
+  resolved "https://registry.yarnpkg.com/vlq/-/vlq-0.2.3.tgz#8f3e4328cf63b1540c0d67e1b2778386f8975b26"
+
+vm-browserify@0.0.4:
+  version "0.0.4"
+  resolved "https://registry.yarnpkg.com/vm-browserify/-/vm-browserify-0.0.4.tgz#5d7ea45bbef9e4a6ff65f95438e0a87c357d5a73"
+  dependencies:
+    indexof "0.0.1"
+
+whet.extend@~0.9.9:
+  version "0.9.9"
+  resolved "https://registry.yarnpkg.com/whet.extend/-/whet.extend-0.9.9.tgz#f877d5bf648c97e5aa542fadc16d6a259b9c11a1"
+
+which@^1.2.9:
+  version "1.3.1"
+  resolved "https://registry.yarnpkg.com/which/-/which-1.3.1.tgz#a45043d54f5805316da8d62f9f50918d3da70b0a"
+  dependencies:
+    isexe "^2.0.0"
+
+wide-align@^1.1.0:
+  version "1.1.3"
+  resolved "https://registry.yarnpkg.com/wide-align/-/wide-align-1.1.3.tgz#ae074e6bdc0c14a431e804e624549c633b000457"
+  dependencies:
+    string-width "^1.0.2 || 2"
+
+wordwrap@~1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/wordwrap/-/wordwrap-1.0.0.tgz#27584810891456a4171c8d0226441ade90cbcaeb"
+
+wrappy@1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
+
+ws@^5.1.1:
+  version "5.2.1"
+  resolved "https://registry.yarnpkg.com/ws/-/ws-5.2.1.tgz#37827a0ba772d072a843c3615b0ad38bcdb354eb"
+  dependencies:
+    async-limiter "~1.0.0"
+
+xtend@^4.0.0, xtend@~4.0.1:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/xtend/-/xtend-4.0.1.tgz#a5c6d532be656e23db820efb943a1f04998d63af"
+
+yallist@^3.0.0, yallist@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/yallist/-/yallist-3.0.2.tgz#8452b4bb7e83c7c188d8041c1a837c773d6d8bb9"
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