diff --git a/.github/workflows/build-code.yml b/.github/workflows/build-code.yml new file mode 100644 index 0000000..65b1b4f --- /dev/null +++ b/.github/workflows/build-code.yml @@ -0,0 +1,38 @@ +name: Build TS-DART source code + +on: + push: + branches: + - main + pull_request: + branches: + - main + +jobs: + build-code: + runs-on: ${{ matrix.os }} + strategy: + max-parallel: 5 + matrix: + python-version: ["3.9","3.10"] + os: + - macOS-latest + - ubuntu-latest + - windows-latest + defaults: + run: + shell: bash -el {0} + + steps: + - uses: actions/checkout@v3 + - uses: conda-incubator/setup-miniconda@v2 + with: + auto-update-conda: true + python-version: ${{ matrix.python-version }} + - name: Install required packages + run: | + python -m pip install --upgrade pip + - name: Pip install + run: | + python -m pip install . + \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..96b6d5d --- /dev/null +++ b/.gitignore @@ -0,0 +1,9 @@ +# Byte-compiled / optimized / DLL files +.idea/ +__pycache__/ + +# Distribution / packaging +build/ +dist/ +*.egg-info/ +*.egg/ diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..b2812c2 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 Bojun Liu + +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. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..42eb410 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1 @@ +include LICENSE.txt diff --git a/README.md b/README.md index f0cf715..ff58a71 100644 --- a/README.md +++ b/README.md @@ -1 +1,68 @@ -# ts-dart +# TS-DART: Transition State identification via Dispersion and vAriational principle Regularized neural neTworks + +### Abstract + +Identifying transitional states is crucial for understanding protein conformational changes that underlie numerous fundamental biological processes. Markov state models (MSMs) constructed from Molecular Dynamics (MD) simulations have demonstrated considerable success in studying protein conformational changes, which are often associated with rare events transiting over free energy barriers. However, it remains challenging for MSMs to identify the transition states, as they group MD conformations into discrete metastable states and do not provide information on transition states lying at the top of free energy barriers between metastable states. Inspired by recent advances in trustworthy artificial intelligence (AI) for detecting out-of-distribution (OOD) data, we present Transition State identification via Dispersion and vAriational principle Regularized neural neTworks (TS-DART). This deep learning approach effectively detects the transition states from MD simulations using hyperspherical embeddings in the latent space. The key insight of TS-DART is to treat the transition state structures as OOD data, recognizing that the transition states are less populated and exhibit a distributional shift from metastable states. Our TS-DART method offers an end-to-end pipeline for identifying transition states from MD simulations. By introducing a dispersion loss function to regularize the hyperspherical latent space, TS-DART can discern transition state conformations that separate multiple metastable states in an MSM. Furthermore, TS-DART provides hyperspherical latent representations that preserve all relevant kinetic geometries of the original dynamics. We demonstrate the power of TS-DART by applying it to a 2D-potential, alanine dipeptide and the translocation of a DNA motor protein on DNA. In all these systems, TS-DART outperforms previous methods in identifying transition states. As TS-DART integrates the dimensionality reduction, state decomposition, and transition state identification in a unified framework, we anticipate that it will be applicable for studying transition states of protein conformational changes. + +### Illustration + +![figure](./docs/figs/fig2.png) + +## Installation from sources + +The source code can be installed with a local clone: + +```bash +git clone https://github.com/bojunliu0818/ts-dart.git +``` + +```bash +python -m pip install ./ts-dart +``` +## Quick start + +### Start with jupyter notebook + +Check this file: + +``` +./ts-dart/example/quadruple-well-example.ipynb +``` + +### Start with python script (Linux) + +```sh +python ./ts-dart/scripts/train_tsdart.py \ + --seed 1 \ + --device 'cpu' \ + --lag_time 10 \ + --encoder_sizes 2 20 20 20 10 2 \ + --feat_dim 2 \ + --n_states 2 \ + --beta 0.01 \ + --gamma 1 \ + --proto_update_factor 0.5 \ + --scaling_temperature 0.1 \ + --learning_rate 0.001 \ + --pretrain 10 \ + --n_epochs 20 \ + --train_split 0.9 \ + --train_batch_size 1000 \ + --data_directory ./ts-dart/data \ + --saving_directory . +``` + +Or +``` +sh ./ts-dart/scripts/train_tsdart.sh +``` + +## Reference + +Our codebase builds heavily on +- [https://github.com/deeplearning-wisc/cider](https://github.com/deeplearning-wisc/cider) +- [https://github.com/deeptime-ml/deeptime](https://github.com/deeptime-ml/deeptime) + +Thanks for open-sourcing! + +[Go to Top](#Abstract) diff --git a/data/quadruple-well.npy b/data/quadruple-well.npy new file mode 100644 index 0000000..caecb4f Binary files /dev/null and b/data/quadruple-well.npy differ diff --git a/docs/figs/fig1.png b/docs/figs/fig1.png new file mode 100644 index 0000000..7da2ae4 Binary files /dev/null and b/docs/figs/fig1.png differ diff --git a/example/quadruple-well-example.ipynb b/example/quadruple-well-example.ipynb new file mode 100644 index 0000000..f185a8b --- /dev/null +++ b/example/quadruple-well-example.ipynb @@ -0,0 +1,651 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import torch\n", + "import torch.nn as nn\n", + "from matplotlib import pyplot as plt\n", + "\n", + "from torch.utils.data.dataloader import DataLoader\n", + "from torch.utils.data import random_split\n", + "\n", + "from tsdart.utils import set_random_seed\n", + "from tsdart.loss import Prototypes\n", + "from tsdart.model import TSDART, TSDARTLayer, TSDARTEstimator\n", + "from tsdart.dataprocessing import Preprocessing" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cpu\n" + ] + } + ], + "source": [ + "if torch.cuda.is_available():\n", + " device = torch.device('cuda')\n", + " print('cuda is available')\n", + "else:\n", + " device = torch.device('cpu')\n", + " print('cpu')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Quadruple-well potential" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'y')" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# quadruple-well potential\n", + "# See \"RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics\" for simulation details.\n", + "# The temperature is specified as 0.4\n", + "\n", + "V = lambda x,y: 1/8*(np.cos(x/6)-3*np.sin(x/3)+5)*(np.cos(y/6)-np.sin(y/3)+3)\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "x = np.arange(0,30+0.1,0.1)\n", + "y = np.arange(0,30+0.1,0.1)\n", + "xx,yy = np.meshgrid(x,y)\n", + "z = V(xx.ravel(),yy.ravel()).reshape(len(y),-1)\n", + "z = z - z.min()\n", + "z = z*1/0.4 # temperature is 0.4.\n", + "z = np.ma.masked_greater(z,10) \n", + "\n", + "c = ax.contourf(x,y,z,cmap='rainbow',levels=20,zorder=1)\n", + "ax.contour(x,y,z,levels=20,zorder=1,colors='black',alpha=0.2)\n", + "cb = fig.colorbar(c)\n", + "#ax.grid(True)\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('free energy/kT',fontsize=12)\n", + "\n", + "ax.set_xlim(0,30)\n", + "ax.set_ylim(0,30)\n", + "\n", + "ax.set_xticks([0,10,20,30])\n", + "ax.set_yticks([0,10,20,30])\n", + "\n", + "ax.set_xlabel('x',fontsize=12)\n", + "ax.set_ylabel('y',fontsize=12)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "data = np.load('../data/quadruple-well.npy')\n", + "\n", + "pre = Preprocessing(dtype=np.float32)\n", + "dataset = pre.create_dataset(lag_time=10,data=data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2 states model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + } + ], + "source": [ + "set_random_seed(1)\n", + "\n", + "val = int(len(dataset)*0.10)\n", + "train_data, val_data = torch.utils.data.random_split(dataset, [len(dataset)-val, val])\n", + "\n", + "loader_train = DataLoader(train_data, batch_size=1000, shuffle=True)\n", + "loader_val = DataLoader(val_data, batch_size=len(val_data), shuffle=False)\n", + "\n", + "lobe = TSDARTLayer([2,20,20,20,10,2],n_states=2)\n", + "lobe = lobe.to(device=device)\n", + "\n", + "tsdart = TSDART(lobe = lobe, learning_rate = 1e-3, device = device, mode = 'regularize', beta=0.01, feat_dim=2, n_states=2, pretrain=10)\n", + "tsdart_model = tsdart.fit(loader_train, n_epochs=20, validation_loader=loader_val).fetch_model()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "tsdart_estimator = TSDARTEstimator(tsdart_model)\n", + "ood_scores = tsdart_estimator.fit(data).ood_scores" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# quadruple-well potential\n", + "V = lambda x,y: 1/8*(np.cos(x/6)-3*np.sin(x/3)+5)*(np.cos(y/6)-np.sin(y/3)+3)\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "x = np.arange(0,30+0.1,0.1)\n", + "y = np.arange(0,30+0.1,0.1)\n", + "xx,yy = np.meshgrid(x,y)\n", + "z = V(xx.ravel(),yy.ravel()).reshape(len(y),-1)\n", + "z = z - z.min()\n", + "z = z*1/0.4 # temperature is 0.4.\n", + "z = np.ma.masked_greater(z,10)\n", + "\n", + "c = ax.scatter(data[:,0],data[:,1],c=ood_scores,cmap='coolwarm',s=1,alpha=1)\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('ood scores',fontsize=12)\n", + "\n", + "ax.contour(x,y,z,levels=20,zorder=1,colors='black',alpha=1)\n", + "\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "\n", + "ax.set_xlim(0,30)\n", + "ax.set_ylim(0,30)\n", + "\n", + "ax.set_xticks([0,10,20,30])\n", + "ax.set_yticks([0,10,20,30])\n", + "\n", + "ax.set_xlabel('x',fontsize=12)\n", + "ax.set_ylabel('y',fontsize=12)\n", + "\n", + "r=0.1\n", + "g=0.1\n", + "b=0.2\n", + "ax.patch.set_facecolor((r,g,b,.15))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "features = tsdart_model.transform(data,return_type='hypersphere_embs')\n", + "state_centers = tsdart_estimator.fit(data).state_centers" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "c = ax.scatter(features[:,0],features[:,1],c=ood_scores,cmap='coolwarm',s=1,alpha=1)\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('ood scores',fontsize=12)\n", + "\n", + "ax.plot([0,state_centers[0,0]],[0,state_centers[0,1]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[1,0]],[0,state_centers[1,1]],linewidth=2,color='black',linestyle='--')\n", + "\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "\n", + "ax.set_xlim(-1.1,1.1)\n", + "ax.set_ylim(-1.1,1.1)\n", + "\n", + "ax.set_xticks([-1,0,1])\n", + "ax.set_yticks([-1,0,1])\n", + "\n", + "ax.set_xlabel('z1',fontsize=12)\n", + "ax.set_ylabel('z2',fontsize=12)\n", + "\n", + "r=0.1\n", + "g=0.1\n", + "b=0.2\n", + "ax.patch.set_facecolor((r,g,b,.15))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3 states model" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + } + ], + "source": [ + "set_random_seed(1)\n", + "\n", + "val = int(len(dataset)*0.10)\n", + "train_data, val_data = torch.utils.data.random_split(dataset, [len(dataset)-val, val])\n", + "\n", + "loader_train = DataLoader(train_data, batch_size=1000, shuffle=True)\n", + "loader_val = DataLoader(val_data, batch_size=len(val_data), shuffle=False)\n", + "\n", + "lobe = TSDARTLayer([2,20,20,20,10,2],n_states=3)\n", + "lobe = lobe.to(device=device)\n", + "\n", + "tsdart = TSDART(lobe = lobe, learning_rate = 1e-3, device = device, mode = 'regularize', beta=0.01, feat_dim=2, n_states=3, pretrain=10)\n", + "tsdart_model = tsdart.fit(loader_train, n_epochs=20, validation_loader=loader_val).fetch_model()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "tsdart_estimator = TSDARTEstimator(tsdart_model)\n", + "ood_scores = tsdart_estimator.fit(data).ood_scores" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# quadruple-well potential\n", + "V = lambda x,y: 1/8*(np.cos(x/6)-3*np.sin(x/3)+5)*(np.cos(y/6)-np.sin(y/3)+3)\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "x = np.arange(0,30+0.1,0.1)\n", + "y = np.arange(0,30+0.1,0.1)\n", + "xx,yy = np.meshgrid(x,y)\n", + "z = V(xx.ravel(),yy.ravel()).reshape(len(y),-1)\n", + "z = z - z.min()\n", + "z = z*1/0.4 # temperature is 0.4.\n", + "z = np.ma.masked_greater(z,10)\n", + "\n", + "c = ax.scatter(data[:,0],data[:,1],c=ood_scores,cmap='coolwarm',s=1,alpha=1)\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('ood scores',fontsize=12)\n", + "\n", + "ax.contour(x,y,z,levels=20,zorder=1,colors='black',alpha=1)\n", + "\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "\n", + "ax.set_xlim(0,30)\n", + "ax.set_ylim(0,30)\n", + "\n", + "ax.set_xticks([0,10,20,30])\n", + "ax.set_yticks([0,10,20,30])\n", + "\n", + "ax.set_xlabel('x',fontsize=12)\n", + "ax.set_ylabel('y',fontsize=12)\n", + "\n", + "r=0.1\n", + "g=0.1\n", + "b=0.2\n", + "ax.patch.set_facecolor((r,g,b,.15))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "features = tsdart_model.transform(data,return_type='hypersphere_embs')\n", + "state_centers = tsdart_estimator.fit(data).state_centers" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "c = ax.scatter(features[:,0],features[:,1],c=ood_scores,cmap='coolwarm',s=1,alpha=1)\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('ood scores',fontsize=12)\n", + "\n", + "ax.plot([0,state_centers[0,0]],[0,state_centers[0,1]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[1,0]],[0,state_centers[1,1]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[2,0]],[0,state_centers[2,1]],linewidth=2,color='black',linestyle='--')\n", + "\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "\n", + "ax.set_xlim(-1.1,1.1)\n", + "ax.set_ylim(-1.1,1.1)\n", + "\n", + "ax.set_xticks([-1,0,1])\n", + "ax.set_yticks([-1,0,1])\n", + "\n", + "ax.set_xlabel('z1',fontsize=12)\n", + "ax.set_ylabel('z2',fontsize=12)\n", + "\n", + "r=0.1\n", + "g=0.1\n", + "b=0.2\n", + "ax.patch.set_facecolor((r,g,b,.15))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4 states model" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " \r" + ] + } + ], + "source": [ + "set_random_seed(1)\n", + "\n", + "val = int(len(dataset)*0.10)\n", + "train_data, val_data = torch.utils.data.random_split(dataset, [len(dataset)-val, val])\n", + "\n", + "loader_train = DataLoader(train_data, batch_size=1000, shuffle=True)\n", + "loader_val = DataLoader(val_data, batch_size=len(val_data), shuffle=False)\n", + "\n", + "lobe = TSDARTLayer([2,20,20,20,10,3],n_states=4)\n", + "lobe = lobe.to(device=device)\n", + "\n", + "tsdart = TSDART(lobe = lobe, learning_rate = 1e-3, device = device, mode = 'regularize', beta=0.01, feat_dim=3, n_states=4, pretrain=10)\n", + "tsdart_model = tsdart.fit(loader_train, n_epochs=20, validation_loader=loader_val).fetch_model()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "tsdart_estimator = TSDARTEstimator(tsdart_model)\n", + "ood_scores = tsdart_estimator.fit(data).ood_scores" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# quadruple-well potential\n", + "V = lambda x,y: 1/8*(np.cos(x/6)-3*np.sin(x/3)+5)*(np.cos(y/6)-np.sin(y/3)+3)\n", + "\n", + "fig,ax = plt.subplots(1,1,figsize=(4,3))\n", + "for axis in ['top','bottom','left','right']:\n", + " ax.spines[axis].set_linewidth(1)\n", + "ax.set_aspect('equal')\n", + "\n", + "x = np.arange(0,30+0.1,0.1)\n", + "y = np.arange(0,30+0.1,0.1)\n", + "xx,yy = np.meshgrid(x,y)\n", + "z = V(xx.ravel(),yy.ravel()).reshape(len(y),-1)\n", + "z = z - z.min()\n", + "z = z*1/0.4 # temperature is 0.4.\n", + "z = np.ma.masked_greater(z,10)\n", + "\n", + "c = ax.scatter(data[:,0],data[:,1],c=ood_scores,cmap='coolwarm',s=1,alpha=1)\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=2.5,width=1.5)\n", + "cb.set_label('ood scores',fontsize=12)\n", + "\n", + "ax.contour(x,y,z,levels=20,zorder=1,colors='black',alpha=1)\n", + "\n", + "ax.tick_params(axis=\"both\",labelsize=12,direction='out',length=3.5,width=1.5)\n", + "\n", + "ax.set_xlim(0,30)\n", + "ax.set_ylim(0,30)\n", + "\n", + "ax.set_xticks([0,10,20,30])\n", + "ax.set_yticks([0,10,20,30])\n", + "\n", + "ax.set_xlabel('x',fontsize=12)\n", + "ax.set_ylabel('y',fontsize=12)\n", + "\n", + "r=0.1\n", + "g=0.1\n", + "b=0.2\n", + "ax.patch.set_facecolor((r,g,b,.15))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "features = tsdart_model.transform(data,return_type='hypersphere_embs')\n", + "state_centers = tsdart_estimator.fit(data).state_centers" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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WL4YSba3bXO6WzoGFBf7m0CH+fHaWpUaD+UoFQ9MwHYdU0G207bpQLBLWdSKGwZJt81SpRNU0iYRCtGo1ltptqo7D9aoKUqKrKkQiHG80uCmbJWoYICWnSiUius7Rep0TS0vMVyo89I//SETT2Do4SL3dZufoKO993ete4TuzdlwppNN5ALtmLR1FrM9Vdg26166xkbEcHRn0/v372bBhA5lMBiEEjUaDgwcP0mw2ueWWWxgcHFxx+4uhRFstziadywlfP3qUb01OAvD8wgKFapWsqhINcpVu2rCBuGFQb7c5urREJhJh18AAC5UK0Q6RC0FI04h4HhsyGSqmSTIapWqa6EA2HgfPw2y3yVerxHomtVg6TcOyaBkGW4eGfKIxTZCS5+fm2DU6ylcPHOCLTz9NJhpl6+AgqmXxznvvvdS3ak24nB8setFr6XRSCq45S6cvmV41rknSkVIu6+xYrVYZHBxESsmJEyc4fvw4Y2Nj3HbbbS/6xKYoypotnc7x14LLLU9nrlrlT59+mufm54mGQhQaDSrtNhOZDJszGbYkEpRLJcqexxu2b2emXCZhGGxMp9k5MsLhxUXqpsn2wUFqpknCMNieyzFXLtPwPBCCzYELbTSR4LnZWbam0yzU62wfHqY2NMRCpcL2oSFSkQgzpRINx2FzJsPGbLZ7njOFApFQiLplcee2bcxVKoymUhybn+fozAzPzsywZcMGkJLv3bOHB26++ZW6pSviSnGv9ebpXKuWTl8yvXpcWyODc5M8OzLoRqPB8ePHcV2X22+/fdX9Py5lfObsPvaXEh2imavXOVookAmH2ZpOg6IQC4VASnYODjJTKvldN+NxkpEIh5eWwPPYmEpBQNCj8TjHFheZA0aTSVLhMJV2m3gkwmg4zHgmQ7nVIh0oA1OhEJWAnMYzGaaKRQBqpkmt3SYRDrMxnWamWKTSapEKtksEJfVHk0lS0ajfj15K9k5MoDgOqUiEgXSauXKZh77+df7yscfYPjrK+OAgP3LPPZf0/p4PVwLprBTTuRhtE64oCLE++fMV8P1ebFwzpHO+XjedtsAvvPACExMTbNu2bdUCAUVRXjH12qXC+7/+9a6raqnZZDAW47bRUTamUsxUKiTCYRKGQS1YZ2Mmg+I4tKRkePNmyq0WlXYbVJWZUslft9XidTt2+MQSiVButRhPpzkwO8t4Og1Skg6HmQpEBJV6nfGOi1NKxtNpyqEQlWaTVDTa3cfujRt5YnKS8VyOqXwehODNe/ZQbjRIR6OkYzEAnjh6lEKzycZsllQsBkIwmk5zbH4egG889xxPHDlCPBzmp77nexhdZwOyC8WV6F7rVCO4Esiyj1cG1wTprNTrRghBsVjkwIED2LbNtm3b2L59+5r3falI51K6175+/DjfOnmShVqNQqvFnRs3AhAPh6mbJhvTadLhMOloFKSk3G5Ta7eZqVZBUdgcDlO1LNqFAuOBuysdDjOxbRuT+bx/EEUBVaVsmqRjMcqtFhszGT92A+SiUbKxGLlYjKMLC2TjcYrNZvd46XicSmfbZhOEoNxus3PDBsr1OuPZLOVWC4L7NLW4CEJQsyxGBwZQLAshJRPDwxQbDfA85splUrEY20dHqbVanFhY4AN//udnrJ9LHAO6UtxrvUKCa7EEDvTda2vBVT06zpfk6TgOR44cYXZ2lu3bt7O0tLTmJE+4tJbOpRAS/MXBg3zj+HFiQRA4Fgqxd2yMSqsFwO6hIQ4sLXF4aYm7Nm2i3Goxkc2ClExs2wbAZLFIpVajZtuEHIdsNEq2t0uqlIwHlkM6ULJlw2Gm8nnGMxkml5aotNu+G61UYjyT4YnJSe7aupWpUok9Y2O+m87zwHF8qygS6ZJLNh6nWK8DMDE0xOTSEghBKpEAz2PP1q0APNtqMZxOMxlYNwCj6TSVRoNUJEIqGmX3pk088cILzJXLzBUKHDh5kkQkwn+/hB0srxTS6bV0rjURAdBvbbAGXJWkc75eN0IIFhcXOXjwIPF4nHvvvZdoNEqhUFi35XApSOdiHPfF8MnvfIeZapWFRoNYKMRoPM54Os0Tp051YyQTAwMUm002JpOkh4Yot9sgBPump0lFIr71EQ6TNgzq1SqNdpuJZNInIdPsSqUrtk06mKCy0Si5WIx8o8F4NsuO4WHyjUZ3WTYeJxeLgZTsGB7uWkGd9Tr7QAjfCgL2TU/7RHX8ODtHR31CClCu19kXuN/wPMqNBkODg11LqUNIxVqNqaUl0tEoOzds4JEjR3jNjh1UWi2Ozc7y/j/7MzYODPDe7/mei/YdrIQr0b12LVaYhn6V6bXgqhsdvUmecMaVZpomhw4dIp/Ps3PnTsbGxrpf+HqJYD2WTucc14KXK0/nI489Rs00qds2SMn2TIaaZbFnwwbf5aSqpCIR0uEw+2ZmSIXDXasibRgcWFhg99AQZcsiHQ6zY2CAfLNJrVbjjtFRRnM5AHKRCPlmk2K9zkQgPpgsFslGoxzN5/3YjmFwdGnJJzNgslBgYmCAfKPBVKnkE44QZ9xzQNk0Ad+6Kbda3DE+3rWq7pqY8D9LJPyVpTxjBUkJikLVsmgVCqQiESq1GsVea1cIn4xUlTfv3QtSUmm12LttG08dP0693X7ZyedKcq9d85ZOv/baqnHVkE6vDLpXKCCl5PTp0xw+fJhsNstrXvMajOCpu4P1Sp9fyTI4F4K/OHiQJ06fBiCu64zG46RCoa5abN/p06TCYe4aG6PcbjNVrTKezS53k7kuu4eGyMZiZGMxiq0WXzt2jFqzSVrXObG0xE2pFBOZDEeXlgAo12rdzSfSad9FJiUTmQyTi4uk4/Hu8rRhdNVueB7Fep1sJELaMPzX0Shpw2Bqacl/HQ77sZ/OOQrBVPB+slCg0mqdUb5JiQKMZ7MMB9UMisF22USCXEBwB6anfYINYloIQaXZ5HW33urHiKTk8OnTPPipT7FzbOyik8+VSDrXrKXTj+msGlfF6PA8j1KpRKvVYmBgoEs4rVaLgwcPUqvV2L17N8PDwytufyGWw6WQTF8sIcFfPP88U+Uyzy0tcfPgICnD8IP/QMWyuvGRPRs2nJFyCuErycplyu02E+k0xVaLqWLRj814HsUg5vP67ds5urSE5nnorZbvkmu1KFsWE4EMuvMa/PhPOhz2J/ngWLlAYYaidF/v2bSp+z6XTJKv1/3XiQTlVovJUqnr/psslZjIZsnG40wVixRNk4mAWAB2bNhAvlLh0WefJWwYDHueb9UB5UaDA6dOkYjFSEUi/NAdd3A0KNuzY8MGsokExVrNXyccJhWNkopGqTSbPDU5yfv/7M+478YbeeDWW9f83VzJ6M3TcV332rR0+lg1rgrbzrZtlpaWmJ6e7qpoTp48yaOPPko4HObVr371eQkHLq177WK4xtazj08+/TQHlpZ4Lp/3CSdQn+0eGfFJhoB4hKDYblNstSg2Gt2cmD0bNvgTu2UxVan4RKCqoChkYzF2DA52LZqBcJi0roMQZKNR7ti4EVyXiVzOfx1M9OmgjM3RpSW+dfw4+2ZnObq4yNHFRfbNzHB0YYGjCwvsm54+5/2TU1McXVgAz6NSq4HnsWNwkImBAZ+84nH2BMcFusSWr9dBVRlLpXx3XaHgX0MiAYrCxlyOPZs3k45EuoSD5/G1ffu6AoWNAwOMDw4yMTrKxOgoqWiUvdu2UW+3+dbBg3zyK1/hLx555IK+Y+hbOlcUhLL+vzXi4x//OFu2bCEcDnPnnXfy5JNPrmq7P//zP0cIwQ/+4A+u+ZgXE1fF6OgIBaSU1Ot19u/fj2VZ3HbbbQwMDKxq+8tZSHAh5/f1kyf51qlTLDQa7B0Z8YUAndhFsM/JfJ6UrnclzB1rBkVhz9iYH5MJrBk8jz0jIwBMlUoQdErdNzdHrdlk98gIxWaTU7UaRuASy9dq7JuZYXxgAFyXXCIBqkouCPLn63V2b9jAjp5yQx25NJwRC3Te9woOAI7Oz4OikA/cd8UgfpSNRikHllyxx7U3VSxSr9WwHYdbBwa69+GOiQny9TrFWo1sMkkuHu/uE0Wh3GxSaTZ9IYKU7Dt+nPGhoW7+TzwSYWM2SyVY75Nf+coFudyuRNK5ViXTl6r22uc+9zkefPBBHnroIe68804+9rGP8cY3vrFbI/J8OHnyJO973/t4zWtes/ZzvMi4qkZHvV7nscceY/PmzVx33XWrzoq+3C2d9bY2+Mi//itzwdP567ZsAaDcbvPEzAx3jY356rFIhKNSdmMhuUiEo8UiBxYX2T04CJ7H0UIB8KXN5WB/AK8PZNL5QP2VHRkBITiVz1ODrtpsslQiFYt13x8tFMj2qMrAJ5n1ohO3mQgeMLLxuG/BCEE6lfLf5/OkIxF2DA2xY2SEbx88iB1sC1Cs17tElY3FuoQCvtsNRSEdjTIxONh1PWYTCYrVald0kAiHfcl1PE46FuMbzz7LR/76r9kzMXFVu9z6pHPhVaYbjUZ3voq9yG/ht3/7t3nPe97Du971LgAeeughvvSlL/Hwww/zC7/wCytu47ouP/ZjP8av/uqv8sgjj1Aul9d8nhcTV8XoaDabTE5O4jgOd955J6ng6Xu1WC/pXEqrZS15On9x+DAHFhdJhMPEgxI1HaTDYXYODfkxkkiEJ0+f9i0fKbtutXKzyX2B+2yyVCIdDpMNh5ksFEjH412ygoBw8AkpF4uRbzbJhMPcmEiQi0bJB8KCbOd9reZP4q7bdVcdmJ0lEY0y3vO9TVUq3fdTS0ugacs/L5dJGYYfb8rnScViXdLIJRJd2XUuFiNfrXLH+Dj5RqO7LBMOYykKxWaTHaOj5FIp8rUak0tLTAwOMj40xFShwHguR7ojluhIroeH/feNBtlk0iceKdmzfTvFarUrmNi7bRtPHTtGKhrlI3/1V/z3t751zd9539K5QnCBls6GwMUN5/eeWJbFU089xS/+4i+e2VxReOCBB3j88cfPe4gPfvCDDA0N8R//43/kkYvg9r1QXBWjwzAMstksrVZrzYQDl1a9Bi9vwc9PPvsshwsFX5Gm66RCIV8RFpAKUjKRSDBZqfDXi4skQiHuGBsj32r5T/2uS9YwuvLPO4IfQ77VomJZTGSzfryn1WKqUiFlGEyk00zm891cGd11Kbfbvquq1aJcr5MNh31XlaoykcuR61XCcaYnTgfZeLy7TjYS8UmyZ5teF1s2Gu0KDPC8c9xs5UqlS7zFZpNirUalXsdWVRpB3Go8kyGbTPpVFvCtmGyPcAF8McGODRs4evq0f3+kZHJxkUqz6ceOgjGUTiT8+zw6yuHpafA8as0mn/z7v+eO66/n1kDOvdrv/nLH2RUJrkUhwaWoMp3P53Fd95z49PDwMIcPH15xm0cffZRPfepTPPPMM2s+t5cLVwXpqKrK4OAgU1NT69r+Uls66znOSx33mcVFvnbyJMfKZfYOD3dzacqWRbHd9rP7Uyk/lybIi5lIpShaFk/Oz5M2DLJBrKejRsuGwz5xBNvvGR31813CYVBV3yUmpS8KSCb9CgWZDLVazc/FqVb94wwOngnkN5vnEM5FRY/qLZdIcHRpiYrr+qIHfDKZzOepOg4bkknu2bqVo3Nz/rau6xNcIHQo1+tMzs0xMTraVbh15NQdi+eOwMV49PRp39IKcoE6SridGzeSjsdJJxIcOHmSmXyeozMz/Mh9973kpfSTQ68dzM7Okgwqq18s1Go13vGOd/AHf/AH5IKcucsBV83ouJBg+5UmJDibhD753HNUTJO5ZpO9w8N+BYBQqGshTFUqPmHgWyzFZpNsOOxbPsBEkED5rclJEpGIbx1ls10BQTYWIxuJdCfzjqig42IjmNR3BHXWQrZNPRTyC2UGpISq+lZPcMwOOhZTJ95TrNW6FlQnWXNqaQl0nfEgPtPBZKCs61hendhNL7LRKATS7lxwnblYjG/Xagx0rJpYrGvZdcix424rBgSaTSSYXFhg38mTjA8MkDIMypUKRx2HbDLJjrGxM8STSJBNJLrlg5CScr3uV70WgqnFRf7iW996SeK5Ut1r16Kl41eZXsd3FWwTi8VeNJYDkMvlUFWVhYWFZcsXFhYYCcQ9vTh+/DgnT57kzW9+c3dZx6OjaRpHjhxhW/DQdCnRJ51g2/W41xRF6VY+WMux1nOenZYMnWBjZx+ffO45wC//H3zAeDJ5JlDvebx+fJyvTU2R0nUmUim/ECYsi80czefZPTzMjiAYn2+1OFoq+QU5db0bcO8lnHwQfC+3275bKihrX282OdVoMOq6vsXQaPjWkesykUyeSfoMzi+lquA45JJJv9BnEP/poEOeQDcuBH7ttmKj4QsJ5ua6SaLFRmO5UEEI9k1NsWfz5u6iSrPJZD6P2nOfUJSuK62z3VSxSLnZ5I5t23w1W/B5NpHwlXjJpE821SrZWIzJhQUOnDrF7vFxXn/LLb4rDrhj506ePHzYr4wdiTC1sLAq4rkSSeeatHQUsc7aa6v/fkOhEHv37uUb3/hGV/bseR7f+MY3+Jmf+Zlz1t+5cyf79+9ftuyXf/mXqdVq/O///b/ZtGnT2s/3IuCqGB2dukeX2tK5VEKCTh5Sx33YUc391y98gbbrMhKJsDkeJ99oEI7FsG2b46USNdsmEw7zTLvNSChELh5nqdVCalqXcNptm1/8+AwWJnEnxm/+D/+YnfjMRCLhK8Gk9OuoWRbjiUTX3TTVbLJnZOSM1QPUWy0Sut61GrrxmrPiMp1l2XC4a4WcDx1hAHDGYkkkzrjrpPQFBInEMjk1QC6Z9GM6qtpdviWbZclxfKGEYTC1sMD48DBThYJfay5wR+zZtInJhQU/ITUeX5bv07kHO8bGODo/z2SxyMSGDX7l6nqdo6dP+9bX/DxPHjnCxNgY+44dI51IkI7HeeLQIaYWFtizfTsP7NlzzjX3LZ0rCBdo6awWDz74ID/xEz/B7bffzh133MHHPvYxGo1GV832zne+k7GxMX7913+dcDjM7t27l22fTqcBzll+KXFVkA6s31rpbHs5ko6UkqmpKfL5PMlkkhtuuAEhBIVCgd/4138lnMmwOx4nqWlMVipsDIeZbjQwTZOkEDiWRbPVwnMc4orCwXabmuuCotAMhWi4Ln/1HR2hSqJOFEtY/NffPMoP/4DHQDTKYCRCuVwmp+uowIZolD2Dg6iqilAUCu12113WzeMBTtZqKMGyYrsNiuK7v9ZRyXs9KDabyyTUHUwG0m+AUtAeYTAgl44YYcfISNea6VZKkJLJ2VmKicSyUkDlZpMD09Pcd8MNvguyQ34dMUtHjHH99Tx5+DDf2r+fjQMDlOt10vE4d+3axdT8PF8OkvvOJp7eAP3ljLM7h16Lls6lalf9tre9jaWlJd7//vczPz/Prbfeyle+8pWuuODUqVOX/Zi5akbHeotvdra93GqvmabJgQMHqNVq5HI5IpEIuq7zz3Nz/MupUwhFYTiVIh2Ugtm+YQPZaJThdtuvoGya3J5KnXGfFYsUSiXuHhjA9Tw81yXfbhN9ogWeS0gJIxWJ5XmEpULItim12+QbDdygancMmOvcJyFoAKqULJTLaKqKqmlUHIeY51EzTRbn5pipVFAGBzlUKrEllWIu6CyqaRoV06RimmDb3b47EMile4KqU0Ffnl4Zde+6KcOgUql082oA0qFQ190HnKnnhm81lcNhkj1VrnPJJPlq1XfxBW60rnUTPB2iql1JNcDEyAgTIyNMzs52S+0Ug+TScr3OxPDwmaRVTWP3+PiZ3B4pu9ZVKhZj37FjFCsVfuT++88ZL5c7+u411l1dYD3b/MzP/MyK7jSAb37zmy+67ac//ek1H+9i46oZHVeTpZPP59m/fz+ZTIZ7772Xo0ePAvCXx49zutEgFQpxKrjWbDjsJ2YGVsSOdJonZ2ep2LafdxPIpAHe0BM0zLdabIrH+cC7HT708Xk0qdNW29iaw6f/WudXf36MYrNJwzBIaRoTwWQvPQ/H88g3myzk89yYy+E6Dq7nYXseTcsi7HmkDIOQlKSEYKFQIOs4eIUCVtADB6DmuoTwrQx7aQlN01AVhQHXJdJuo2gamqoyHokwGAoRSqUYSiRQFQU1WHfH0JCfK5RO+260zvV1XHEdJVsq1Q3047qUGg0cRUEJh7sy6nKlsux7KLbbXYup427sSKpzPYKGYpCzs2PDhq6Vc/T0aV/hFpBROhIhG8SzssF5ZhMJ9k1OApCKRik3Gnzy7/6O937/9/v3+gpUr/Vrr/XxUrgqSOdKiunA+ScTz/N44YUXOHXqFDfccEO3/YIQgseLRb7TanFjNkuz1WJrOMyeoSGK7bZPOAEJPTk7S8WyeP34OABHKxXfQuiJmfSKAX7zU8eRrkNNLyORRJoa4PH+3zzGv39XkvHO5BoIGISqMl2p+Nn9o6Ns7ZFi5lstBgHDcTgxOUl6eJh08LTfG/Pxgorgi7UarmWRjkS6rcRd16XVaCDxrb2W41Cs17EaDYqtFiVFwekRbwghaHgeipQMxONoqoqiqmiaRs2ysDrLFAXV81AVhZZlkTAMUpEIMlCmFZtNKoGYAOgmrqZDIV9KHYv58unhYYrVKsVqlR1BDlNHudaxjPJBGZ1yu+2LEK67jnyl4ieOBrlE6USCbDK5zDqbChrK/cU3v8mP3H//FRnTuVbda4h1JodeAd/vxcZVMzouxL12OeTpNBoNnn32WaSU3H333cR7nqQfL5X4p6UldgwOkg6H0T0PRVXZt7hIzbLYPTDAjkyGo0HV5js68uh2m6xhkM3lQFE4WiwyVav5CZ1BDsvRpSK6GkZ3DXRbAynxPImUkk98poDu1XjoV24853xzkQhHl5aWxXImKxUmUik/1uM4hNttf7Iul5eRjiIEiqb5LSZ0nWTPtQJoZ+XypKvVMwKBaBSJb3G5rovTIS/TJB2JdJfl63WmqlVMx0EGZFZsNIjrOtO1GlEhSAQxnkwkgqaqWLUaLwSuNjUgrmq7zXyzyVA8TsYw0KRkNJHgZD7PgakpBhMJFEVhanGRqXzebwa3ZUtX1HD09GmOzs52raB8rea71zyPybm5rpotHY+z57rrmJyd5cDUFHzzm+weGrriSMdxHEIdJeU1hAstg3Mt4aoinSvRvSalZHZ2lueff56NGzdy/fXXLwsEfvXUKQ5Wq0zEYmxOJilbFsOhEIdNk73JJDvSafLtNk8uLZFWVXYEbQOOduorua6f0BlM+nt6spkrTQ9p6EhbQW9ryIBspJQ09TpCgmZp/Mwv+dnOH/3AdiqODfjqrWwk4kunGw2K7bZfWbqTme84fjkYKcF1OXpW/gz48Rhs2y8EetbyZTGdfJ7xgQGmyuVzYjrd/TgOKdMkHY+DomAkk+zouLGCa5+cm2NiZIRdwL7nn/djLNlsl6ji1SqFWo10JuN3nXVdkuEwS/U6JxsNEprG/oUFkoaB47o8v7REXNdJhEK+a1BKlFCIp557jkw06ltcqsrpUgm71WIomURVFGrNJrPFInu2bmXP1q0cm5/nZE/uxcZcjnKjwVeeeYZ/c/fdLz6gLgP0Ch5s2151zcOrCpeo4OfVgKuGdK4U91rvNo7jcPDgQQqFArfeeiuDPVWWAT579Cgnq1USmkbVtvnXxUXetWsXU/k8cUVhRyfADcyUyxCPnyEbYEcm07UO8u22r9AKYj/5ep2/+psS0ZY/IVuahedJ8CRNowWWRdiK4CgmEkBK/tOHnwXgu/dk2HGzwkQud0ae3ONCM6SkYhiMDQ76SaNnXRf4lQmysZif63KWpZONxc7J08nF48tK4/Si2746yPU5+zidbbpigUSCVCzGVKmE1rO/VJBcWnLdZUmosUyGYrtNudViOJ3udiPdfP31uI5DJhzG8zwWSiXS0ShLtRqu45A0DDzXRUrJ0elpZkMh34UoJTgO39m/n7HgfBvlModKJVRF4WQ+z0g6TVhV+ew//RP/NnBZ9f51LLHev04fqUuJzljuS6YvnZDgSkefdHhl1Gvlcplnn32WaDTKvffee043031LS5ysVkmFQoRCIRKqyo6NG8m325QtC/An1GLQsnn3wAA7slmOVip+o7TAHQW+mw3oEk4HpZaNBHQneDKVEul54HlIASga0ndmAeAYNpFWmCeeMHnkX02ykRa//ks7l7nY1oJOgunLjZVK72QMA88wziGp8aEhyqa5jHR64zvlctmP8cTjCKDabFINioZuiUTIVypct2nTMtl1OJ0mlsn4TfAGB31XYaXCvuPH8SIRxgcHuTmR4MipUxTrde4cHaVcrVIqFmk5Dk8cOcKrtm+n2Wx2W7E7jtP964xdIcQ5RPRSRLUSca0FK5HONRvTuQR5OlcDrprR0ZnM1xN8vdRCAs/zePLJJ7nuuuvYsmXLOec722jwl8ePA7B3eJj9pRLjkQiT1SrzrRY5RSHRaaAWifi5IZFIN4azI5Ui325TNE3KjuNXAughIYBvzy2geSEMR0dKkNJDSomlWaiOgm5F0Vy1qzSzdYdIOxy8drGFQ9FS+U+/cgAz2uKnf2gCgq7OjYAUi0FM55VEp9I1+Iq2Tp+gUpBjJPL5ZdULOlZMb/+eXkssn0j4FlXg5sul0xydneVoUBFhMmj8Vmw0KLfbflmcoEp1517kazVyqRSvv+02jp4+TdU00XSdcDRKcXGR3RMTsGEDzzz/PNFwmGdmZ7l51y5uPU/Jkk61ipX+egnKNE0ajcaK63XGcUfOvlqS6ozddrtNpVLBNM1r09LpY9W4qkgH1pfFfalIp91u81xQtubFWjD8bSCjvX9sjEK7jQBONBoMDQ+Ti0SISMkj8/Psxrde8q1W15ohkDMXm02majW/XtlZ2f6TpRJaO0rIbiEDWwbA1m2QoFsamru8JQLgCw26F6+hexpNo45iCj71J6e79+QHfzCK3WpSDPr2FFewZqZqNcYTiW68ZtlnZ+XjTC0tMZ7LUW632Tc7u0yJ17sNpsn4Cq683v2Vy+VuSZ7xVMp3OZ5NjIE67uzKBh0Um80zCaAELbCDtgjpVKrb8qDTDqGzv8nZWe7YtYt8teoTTyLhVyxYWKDcbDIxPMx9N97IvmPHGA+KtiIEOzdu5MlDh8iXyzywd+8556MoCqHAIl4vOsrBlSyp3r9Wq3XOMoDvfOc7/PAP/3BXvfb5z3+eVCrFRz/6Ud74xje+5PE//vGP85GPfIT5+XluueUWfud3foc77rhjxXU//elPdzPwOzAMg/ZZdf0uKRRlnWVw+u61Kxa9pLOebV/u7RYXF9m/fz/ZbJZKpXLeirK//vTTICUbEwm+OTvLxkiEjGFgCUHWMNBUlbZpElMUEIKvnTrVnYSzneTHIDM+G4ud41LLt9tUbJsXDoOl+xOGlB66pSKlRLc1GopvGcjAbWMH6yH8ydNWTH9CVCS6Z6DbeleFIxTBl/9WYitJtu1Q2XHruSQAQeuCSGTFEjidz7rvw+Ez5WdarWWf9W5TrNfPaZEAZ6yXXDRKPhIhl0hQjEbJJBJ+Qc/eJFI4U1m607IgQCdxtFit8uTkZDch1L9wQTpoALcsThUE1Tvvj05P+xLtRsOvZl2v+/16gvGQS6fZs22bT1ZCMFssooRC7N68mX3Hj5NLp89r8VwIVFVFVdU1E5dt2zzyyCPcd999nDhxgp//+Z8nHo/z7ne/m3K5zE033fSS+1hPN8xkMsmRI0e6719xlV8/prNqXDWk01HMeJ63ZvXMy0k6ruty5MgRZmdn2bVrF9ls9pwqsR18dXoagFQ4TMYwyIRCDITDnG42SQfXVDRNzHabBH515fFkkrLjMJFIkOuJCxVN85zunB2MuAn+4cQCBGo1W7OppUxUW2AJjbbaRrPCvrJGgu6py60czycbW7eD+3DuD8fWbI5Pajz4oZMIIdi2Rec///iZ3jwXG7mOVbHSZz0utg4639qOkZFzLZpOKRv1TKyrWK93E0QlCs9Mnqa4kGWyKFBVBUURpOKbaLs1xhMu33VLcOze6gY9lQ0Qwm+KZxi+fHpmxu/DA931KpEIY4OD1GybcqNBKhrlyUOHXhbSWS868SRFUUgmk0QiEUZHR7nrrrtWvY/1dMMUQqxYWfkVQ1+9tmpcFaTTSaCEy8vSqdVqPPvss6iqyj333EM0GsUMAv9nuwH35fN8c26OhKqyPZUCz+NYrUbJtokCz5bL7Egm0VSV7ek01unTZ6oRBPvIB/ueLJeZSCZ911tPHKdompRNk//7t3mUdgIDD09KkAp6M4RmKdiKSbTtWyeWbtMKt4m0jDPWDmALF6QDEkLOGaITZ/2ADDsEAR9NnrJ5329MowqVH3hLhHtuyKx4z84mh4uNjoKtF50WCR2cWLD5yOcmiRopal6RtJYlog/4lRBUEKpCuS1pNkMkjCSqptC2KlTqVUyvwfMthX1fnGQ0t5F0Mo2mRmhZVZYa06RDITThsXV0lLF0BUNXusICgGKlQjFoOjddKBCzLN74qldxdGYGgCcOHeLrTz/NA7fd9rLep9XibCHBWpND19sNs16vMz4+jud53HbbbXz4wx/mxhvPzSe7ZBBinZZOn3SuWFwI6Vxs9ZqUkunpaY4cOcL4+Djbt2/vqoJWOs99+TyPLy5Styzu37IFgEK7TSZwdRxrNkHTyIbDjMRitNptpJS+NRMOn5FBB2q2w4UCaV33i2xGo+QMoyuZzobDZBWHivCQUvhjXoDu6kix/B4IBFEzgu4uHyZCeNiGh6M5iJaKUMAW5pnrE4KKUUagBA8EASEpEHbD/N8vV/j8l0qEDcFNN7d5YM8YnZ9ep8JCp31BB91uoK0W2PaK38fU0tI5cagOyu02+0yT8VSKqYUFZLMJ0Sii0eCzXzQJUSIiYiiKQIgQuoygyzBxkfaLPbgeLn6BRtWTRJQoUkoado2EkiRqpFBVQVLL0HZqKAI8RWW2cBpNlaiqxLMlnq7gShfpqVTNFPVKmYVCgVTMQ0WyfWSYQq1KqWVSbzYZGxz0q1UHrsCdmzez79gxkHLF+M6lRufhab1lcNbTDfP666/n4Ycf5uabb6ZSqfBbv/Vb3HPPPRw8eJCNGzeu/2IuBH312qpx1ZHOpWw7vdJ2lmVx4MABKpUKt912GwNnBclXIp3HFxepmCaj8TiFdptSq0UmHGYgHGYwHMYuFjlcKp3ZBzBjWeySsiscAN+NVGy3+d4tW7oS4Xy7Td40mazXmYjHKZgmpuV192TrVtfXJPAZSAiBrZjYio1ua9jK8p5BLaWG5oWJNnTABQ9iJLvXZ2k2aWuAuJvoXq9QBFbIBk3FDlmEXBXLEzzxrMq+AzV2jOu86b4YZcchu8KTckcFVnbdFT8HIBTye/GcRzHXyVn6xGdqQBiwEGIeTVExlQYIB1VREYqgbi0CElURtDGJajEEPZwmQLoeqIr/WkLTrqG4Ak0TFFp51JDChvRGQppEVUHTJE2zwuLSFMVqBUWRhFSYb9fwRATNq2E2quhui0LT464dO5DBtRbrdZDSr2AQlOR55tgxbt2+feV7cYlwtsV+Kcrg3H333dzdkzR7zz33cMMNN/CJT3yCD33oQy/rsfu4cFw1pAOXXvp89naFQoHnnnuOVCrFvffeu2JQ9mzS+Wyn4GMoBEJQareXEc5Sq0XZcRgzDIrtNlXXZaFWY96y+MHMchdVNx+nJyclFw6Tb7eZSCQ4Nd3kuVN1atLBCrdxQy5taRNph3yRgCJpq3WQMWzdIeSF0aU/RDoaN0cxicoUQqjoLH+i7SWYkKMve4+iYHgGilAQDoRl2I+94mF4BjPTKg//ucPYuMEdb1yhnbXjnEnyPE+sajyVetEnxw99fJaQZ+B5LoYaRygiKF8i/JwkRRBSYghFkAgLwloCVVNQaVNuLxDWo341bVWgqAqLlRNEYikWWzNsSG7G0BVioQRhQ5CN3cpS9XRw7wSix4ocHd6M9GzS8RSaIlGEx/7pEyjSRndNXrdrgnGliVqdR5GgeBlEZYG8kQEPv+qClOe4CV8JnE06a00OXWs3zJWg6zp79uzh2LFjqz7uRUdfvbZq9EnnImzneV63Nez111/Ppk2bXlJNI6VkX6FAqd1mpl5nYyzG3UNDfGV6mu2pFIOBy+yppSXi/gZkQyFGkkleKJUYDoW6MZyO+wzOKNg6OBpYSDFCfPLvThGxEwjpEXJ1IEy8JbA0B3SJRRtNRhG6jhv20HvCKyIIzggU0M78UJYRC2dEPMLrURQpCkIBRSjYmgUdl5vocTkGt39y2uX/fbjO616lcddNa+u/s5Jw4uc/dLJ7XlJ4mEobEeRz4QGKhxAqBhEszpXcOsJEQSBDNpl0iIlRgRESaCpEjCFOzm9mpjjL9kGb6aKGbZe4bavNvpMGheocsWiSwVAMXXNQhEI6EqduVamZDQZEknKzhqao3LBxAk3YqNJkqWGhOS5W20ZIjwFzhiFhc/z4KVKVGsWTGcSu25laXGRydrZblfqVwEqksxZLZ63dMFeC67rs37+f7/3e713TuV9U9N1rq8ZVRzqX2r3mui5PPvkkjuNw1113kXiJDpi9P9CvzMww12hw9/AwO1MpDpdKpEIhCkFy5bFKhS3JJElNo+K6fgKoaTIei9HSdZ9sTJOj1Sply6LSaDC+gmtpRyaD40DMS6DJMJ70MHX/GIqiEupoBBQX3Q5h6Q4RMwyKxDGC+xncHltxcQzHFxeEHBCCsKv7Pj8Etm6jCAUUD0u0QfjXrAiBQGBhE5ZhLKUFCBqyhCZVhBQIV8ESNsL1+IdvK3z9qToDaYUfvE9hupj3VWTt9jkS5w6K9bqvDLNtfuWjp7rLDSUGnkJIMbC8jpDD/72boo0iVIRQaIgKKgqqUBgatPiee+o89myY/FKU3RMKr9ql8NSBCI4Jd96ocOSUy/ffblG3g7p2bpR4xCMSimCEVIzQNqQsMBBdZCx9hhAPLaqcrC3StmpsHhwiE0ugCZdas0y52WYgZpBOxwklopyYOcnT8wXSbpttyTjg4JpVrMf+jueGtlPZMP6Kutku1NKBtXXDBPjgBz/IXXfdxfbt2ymXy3zkIx9hamqKd7/73RfvwtaKvmR61biqSGe9labXSzrFYpFWq0Uul2Pnzp2rkmp3fqCfO3ECgJ2ZDAOBdXKyXmdvkNxYsCwqrsvd6TSznYx606TqOGRDIZ63bZYaDX9/nsdENEoxEBt00VPoU9MgFVdplOmKGkK2jsQ7Y6XgWyxCEYRsDZBIiU8eAdpq3beWvMDdFrJoqGb3ulpGm6gdoW1UiZDCEJHguv0qvG7IQbgandhRmBRhJYFQBIoiUFSLiIgESjFBq63yua8LbrteMjCRBE3rutfOVrpl0mke/N9PkTCzoAStGBSoy7L/IIqgrTYRlkVEZH3bzVN45xsGqLdV5ssxbtkpiKhhEpEIQsBPvCFJpS5JJUI8frjGpF9wgPmipNqC2UKVt92fJN9ooCiSEwsK20Y8xgddYnoLCDFZKoF6pqrBcKzKDbf6eTc6SWr1NtlEkmw8hiocKo0KQ7EwnqKRSWWotk3S0kKWFig22xQth01SctOp53lc0Tg6M3TZkM56Yjpr7YZZKpV4z3vew/z8PJlMhr179/LYY4+xa9eui3NR64FYp3utTzpXNi7EYlmLheQ4DocOHWJ+fp5QKLQmqaYQguO2jWeapEIhZhoNtsfjPL6wwJZEgsGOiyggkyXTpOQ4KMFTft2ySHTKs0QiFGzbL4jZSQwN/nesn4lEgrxpslBpnClZopq+aECA0BQsaYKEplJHD6TRwvP8WmxSIhAYMowEXDxidpyO3MywI756SfHP2XBihD2DsAhjEPHb+ApfooAExRUY0kAIgSNbaHoMS7EC4hM01BoqCpqqYAvfnacg+OahNt+ebCHDVX70Tkk4CJflolEKxRa/+jFfUmyoYXQvBB33ngshJRycoyDkxdA1l3/zXQo3XJdlYGCA2SWX3/tsGUiQScCb7kwD8GSPeqpQhUi4iaNUiaoRPOmTWij4BXkefOHbJoYSZ2qpyqt2OKBpFKtV0sF32kkQ7fwfHx4mm4qC45Av58FzURWo1KuIXJpCo4GuaGwdHKRSLpLbMs5ArcmhY8d5ptZiDNCefZIFx+ZzrQZve9P3rXocXixcqHutg7V0w/zoRz/KRz/60TUf42VF3722alwVpNORbK7XvbYWC6lSqfDss89iGAY33XTTeWWdL3auM47DDaEQp9ttbspkKNg2GcNgZyAMWGq3KbRa/kzmeZRtm8O1Grfnckyk06Q0jZSukzdNhKL4braznvqzhtEt7Q/wZ89NstjSkUabhmESaevYQQXpWDvm+5tkCoRCyPLdI1J6iECZhYDRQZ3j5caySab7oKYogIciFGSojeFEukF6X5btT/oIgSIUFKHgSkGYsO+Ow3e/aShElSgK4oz1oyhY0iUiIpi24CtPxLhh3KE6N8+X/3Fm+Q1WwVLbhNwzFl9X0ivhh96YYcMGl/z0DAQZTomYIKxD24aBlNItEDoxOrqs3E0ulWLTYJ1cLEbbhCPTFeaqJzg6N4SUMF+rIWSYeMwAx/CTPB2HXDpNvlbzuzx4oAUGcbeoqKaxc4sv9V2qVplbmOHLz+zjxsEBcpEQuWgU1TU5Ui5zQyzK7vFRtJDO/GKRMcuk+MQjVA/t4+mREW7bc2ll1J7nXbB7rY9rC1cF6XTwcrrXpJScPHmSY8eOMTExwcTEBJVKZc3H+73Dh1lwXaK1GtuzWXam03zl9Gn2Zv0J8HDQmqDUavmCgmiUvGGwM+YTQ9GysANilVIy2CMcyEUi5FstikFMiB4C3pUeYsFxaGsWITNCyPX757RVE0t3sBUTIcBSLYTw72PI1ojFNFotF4lgtmmjaCpCLncJiEBs7Rh+jMh1JCNZh3zZ8B8AVb9kj6oKX/3l+QowR/odPREdchG4qm/ZCFWgqD5ZKP6XhFAEjuXwzGMHeKb3+D1uDc3S4SzRYDwqaLRg701R7r9tkH3HSvz1N6KMZE1+9t97JKIKD/77DJYD6YRyDoEvS7BtNrstrMdGNSKxYXYEKqv3fd8ok4tNdo5GKVTK5MvlbgHQfL3JN583ySY2cdMmk8G46zd1q1RAVbt5SEII7r/zXg6fOkWqsQSuTaFmoniSctOEVAwSaWS+SjMcZU8O/mW2zPOVBo1P/C9u/Z8fQhm7dBULLpalc8WjH9NZNa6q0fFyqddM02T//v00Gg1uv/12MoFFst7jxVWVTbEYO9NplgI3W8E0KQRqtIFQiIFQ6IyrDUgrCknDYCQWY77ZZMbzKJZKbLUssqEQkz19dHrdbR3s2u7y9D4Pqy2CWI5EKIKwF8ZzXYTngqqie7B5wGC+bmIqLmXXRRj+pNIMtdDaYGm2TzNhC7V15qnWVlxCjkZDlpmrZhjKOVQaLpbtPxAMD2pMldqoisSWYIoimYRKrY4vJJBgeRaK8BCuQJHCrwCgKJQacxzbdwxbc9DPHrbeGfVcW5TRZJQP/vxmPveFRY6caPGaewcY3xAmGlb45pPzHJ2rUTGL2EuCw6cMRkeC+6xCvhlUKJDST0QNJtBuxelYzC9p0xFs9IgaDA0GU5JCs0EunUZKWKiolJuS8aExDi86zBZnSYR0hOv4lajrddA00tFol7zAr5xwZHGRmzIGCWxwBc+2Gzxx2iGjghKLMSE9pioer96U5V9OF/Esh3/4w4/xpl/5nbUOyXWjt4GbfzuuUUun715bNa460rnY6rWlpaVuoc577rln2Q9qraTz2clJKpZFQ0oyoRBLpkmh3QbPY2c6zeNLS2QCsugQzpJpdgdmsd1GC2I9uC63ptOowaSYjsVAVf0qBWcJGj795QWOnHARCugaYJ8RNCiAUFVUoSDx82vmyi1fTSw7oRuJ9ADbxnCjgO9SGclpLMz790NRPZyQg2HphGQcVJ3N42GeO+r4xwRKeouwFu/eO1WmuOOGDP96wO0uU0SbqIigBJaR5Tic2DeJTQudCGAvyw+ytaA6QTDxaSKOE/L4wr8Kvut1G/nhpIeq+lfxB59dYHbBwok22bQhysbBEP/wL01mlub48TeNsGUsxKk5h1MLLrHtNRrVcleI0SlT03G39dZry1er3b48uVisaxlNF1SOLAxTb5b4NxmYGLQ4slBnw0AaVNUv8um6ZJNJivU6+eDBIZdOk0unebLRYGlkG8mRYcSRx9i7YZinZ+bJxCMMREJIJcYL9SZCWAzEDA5bksFaA/ezH0H90fddkgntlUgOvSzRz9NZNa6q0XGh7rXeH5DneRw9epTp6WluuOEGxsbGzsm9WQvpfHV2lpJlsSWZpJPCVmi3GTAMdqZSLJkm24OJqxD0fOm+lpKSZeG22+waGGCh1SKhqgyEw2iqSr7VIhsKkTMMJms1soGUGuBfnzM5csLFkGHamNy2Ncm3jwRuweCaJR5lrUzUiyNwMYj6lozqIf08fMyQjSEjDKeTtC24eUeYrZtCnMha7DtiIQTU5o8TTu9CECLsGRw+rBJRNLxAnmyVVGLCFyQoQmDi8c/PN0EVGJpACkFTNgj5DjYO7T/uS7V1sHFA2rSMFrbqoDtnhq7u6ghP4a7XXc8j39iHJjXaeZdKc5haSyIEbB80aZYVP9bThFfdUeS6oSR/8HkTgyzz8zo7x+P8zVdLSBlHQXLfLaNAD9FUKmdqpDWbXStncna2W6qgl5TKTYW6ZdGwGxQaDhsykg1BMc9uFeqginW2058nHu+ST7Vep1SrcVRRyG7aA89+nduycQSSQU1FKvA0gqeERkzAhpCgbNr8xfOT/Luv/hHyjf9hVWPzQnAxJNNXA6Twx+96trvWcFWRzoW41+DMD6her3f73txzzz3EzlNWZS3H67jOTtZqxBWFomUxlsksi7sMGgaHg+KThXabk40GewcGwLbJex53jIz44gEhSJ31hNTJ4emtNp1vNvnmcxVqRhWpaui2Qivsga4RtnUQEulJpPSI4ZJwz6jSkBKhqN23CJuQo9No+8fdd9jimaM2N2zTURQFU7WIRlW+9fkfJrHxFu68//9FAIYhMC38uI0q0ITSJSEVlQgRFKFgaOBJBTyBIUO8sO+4r0LrwkWXIXQ7hK1b6O6Zie21b9mDqgpmT+b9UwU2bk13BQwSOFHQ2PuqYb7zr4vcuzuHEEUyacH9d8aYW3S5+9Y4uiYwdEHbksQiypmYS+ce9/Y/UtXl5XZUlWK12q1EPVUssjmT4fbNCRrtJlty2e6qvXXlOsdYqRp1Ih5HCMHU0hLZaBRu+m6yh57jWH4SaWgM6gpvGMtxKF/ihVabMdNCU4PvrFJAHH4CuXP11Z7Xg35MJ4DoF/xcLa6q0XEh6jXwrZvZ2VkOHTrEpk2b2LFjx4u2710t6Xx1bo6SbVOxbbbE46i6TslxCLdaDBjGMjcb+Lk7S6bJQJBzU7BtKoF8WldVcqEQU5wppVMMrKFiEN/prcWWljYhV0d6Coajc/IwqKqJJTptCQSe69HWbcLCQ0oPw9EhUJ75x5CEDQ1b+sUIHI8uOSUjKprm4Cpw644hngun0NVOxXaB6QgUTUERsHuHTibW5pGn/fOuOAXf5ScUto/A4WmFtmxx/LlZ/7g9v8cWJZBpAGxswOGu19+IIgRNq4aiQK1VoUWZiMyh6xqeB6rq22q6Atsm4mzbFkcXLtMlB9dTedN3LW+k97PvTFMqe0RS5ooVrzuus15BQbHZJJtIsGN0tLtetsfd9uTz013rpbNtsVZbtj70tEEISCkZjZKJRhnf4LeEwPPI33AzxdMDyEPfAiPEgOar8ibSCTY16vxTpUk4HOaTz8/wU7kjOBN7ILQ8vncx0bd0+lgrrirSuRD3GsD+/fsplUrceuutDK7QgXKl7VZzvEK7TcWy2JJIMBAKMSMEr0ql2N8zqe3sPEX37K+jTBOhEIuqSsm2qbfbFFSVGcdhY6uFrmmB2aCyo9OvJUCj6SFRsHQHQxoo0r8/YTeEJ8+Qs6laRJ0IYWlg6jaW6kFgjUgpaRgtQq5ObsxEmpJ20Y8ZaRrUPYmJg4nFwYUM97/9d9m6tcKRF/yEUkXCpkGVW67TSQ3Y7BgYYPdmyd895qBXFF57U4Id4wqpGIwmTf7wL06hy8iK91XHJ+E7H7iFkUiI+VNLuOE42ZEkQkDqpgRGWEWNOlS8IjTDaAooisTUPFQhUfAIaZL58gI5Y4zZWomI7jCQNHzyBrLpBCCYLBZJa1pXTNBBLhZbLihwnHOKjPbGdu7YtYt8udy1YDotrjtW1OTsrN/UDb8adkdUkDb8fKZOO4ZlltbY2zn6N58io6u+i056VPQQN4dsplstpBFYifu/BntfvjI5Z0umr9mYTl+9tmpcFaOjW/9rnZZOJfjxO47Dvffei2Gs7slwNaSzr1MdWggGgqKeNSnJt9tkDIOS45AJngyXAhJaClxxHRyv1ahYFqmg8sBAOMy0qp4JXp7HGivXgwlBKIRdA4R/rpqu4nlBOwcPbNoo0sVS2gjXNzAUIfzUHSkJOwohV6W4qBLRI+hRiaEJJjbrJJIKiZSCq9hQ1wjFktx8nYawi4xt2Mj2cRXPFUTDAqQ/EQ6kBO98k85SVWUo6RPYs88X+ePP5iHQQHTUaL6hdeYef9dbbqXhNnl+/yInX/CLRD7wA7cQjmgIBca3ZkjHkxyvz5DSNZ/1FAmK4rduUBTQJMl4nNNmg/FUBE9AodFEIBnPZqkF9z+t65RLpXNqunVdbqq6TE69Jqgqk6USE7kc6YBMFBEjosYxzRr5cvkcK6LT4jqXSnH09GmUe9+M+62/IaurHG+YpEIqAyGVU5bLdKPN7z95kJ987V04rotYY2PD1aLvXvPRj+msHlfV6FhrTEdKyfHjx5kMKj3ffPPNqyaczvE6+zlfgc/DlQoD4TAl2/bjOkKQDOIMA4bRdaEtmSYFy2IgHKZgmgyEQiz19HxPhEJ+75xIBAmkFIUBXafqeUw1m34Pmh6yyhkGf/+4S02vITwwFRMBeK4HSKQAFElLNbGFzWZjCCPkE06hHBC3AhtyKpZuUZzXUBGEPYOxIY3ZvGRyMiibg86GrMpt10e4cUKjYXrsHFhgx9Y4f/wPLrYLr7vboqUv75FTtkyUts6JUw0e/vwC6H4ZHVj+HUhPYuPwPW/ZQalW4nT5JLqRxtZsdEPDUltIqYILTa+F5mpsjKVJhSKoqvR5Bg9VkaiKh6q4KPEUmq6RC6towkXBRpEeZq2IIcFIps/IpVPLXXAQEI/rUmw2KZdK5/TxOVvlVgx6InWQjcX8XkfxOLl4nKVyhbKZJhwWtG0VNEm50aBo28Q7ogNF4ejcXDep9I7rrmNp8L0k/+YTJAUU2zaLtkdKUbguptLQNeZKFQYKp1GHNq84Pi8UZ4/9tfbTuWrQt3RWjauKdNbiXmu32zz77LNYlsUdd9zBE088sWbX3EuRzlfn5oBARCAl+ysV7h8eptGZfIJtBg2DpVaLk7UaJ5tNtsRiy3J0yobBaSAXtEo4+0h7Bga6n+VbLYqmyVy1yaxlkzeKDNlZbMUm5SZBAU9KpBt0fNR0MA1iUY1cVmX7RhXXk/z9Iy0EsFgRqDEFRVUQnmDvDSHiMYXZvN2NgbYVE6sqyJcF//drLqODCjktzD88aWE5QZvtqqRuplg6Eea7boF4BLBtjh1s8NkvlAjh5w5FiXRFAtKTSM/jF/5zjnDKwBAub33rj9GmyX/6+T9i26ZbiERD5NKCluX/eA1MhuIRouEKTdO/V2pAOEJ4KMJ3s/mtGhz81mnBetJBARTPRRbnSOKxaAIsbzAGPUSkqn5eVE/1h6Nzc8sEBeOZDFPz82RjsWUElq/VfBddPI4QEA9Doy3ZMhDDdOukolEmJiYwPa/rfpvK5/1mfAHxCFWl+H3vYuLzD7HkuDxneoyHFSYrLUJGhG8dm+GHNk7CJSKda9e91s/TWS2uqtGxWvfawsICBw4cYHh4mL1793YLdV4I6ayEY7UaCEHFNNkSi3XdYMssMs9jKYglbEkml1k+HZQch5WOsNRq8Xytxngi0ZXeAuxIp/mnp11irseIFCS8GG3VwgzEA1KCVP1pt661SMsw5aag3PQ4NuPxH95ssHeXwb4jNm3VIqUoqLqK7WkslAUeoAW1XL73Ho0vPmVj2AaluqRtCQ5NC8J2DFNv4bk2N2x20MI6h583AJuQAXu2w2f+/gjHD4Z9t19wgQ4OCKcrJPjpn9rOobJG8/QpvvblOlv3/hLF6jPMnPgO22/7HiKRNrrikTf98ynU5tFVmKs1SWo+ySQjCb76ldO02g7f84ZhMmlQhUQIv5qcxMVF+oQjJcKzUXARroNayiNlDTQDsWEHqGd+MvlGg2KrRbnV6ooJwBcRdGI8HUFBtpPT06OGAyg2Gl359GhKQsBJZh1OlcukGw1Mz/P3mUh0O4jiOEyePs3E2Bh6JIK87hbKz3ybzWGNgbBG3ZEkLZtSq4ni2rTLecLp3Irj9ELQFxIE6OfprBpXHem8GHG4rsvhw4eZm5vjxhtvZLRHPbQeufVLtsgOPt87MEDBNNkeTC5PtlpcV68zFgp1BQQd4hk8y723ZJrMWBYZ/CKeQ0Ejs4rrsgEYTyaX1VjrQNOhpVjgCTRNJU4Yw5DUm57/ZC9AjVkMJQwimsvMjEWHrhtScOcdCtuv13jmpMWtYxrf+Hab+UKJUwXBTFGwaytsHlERIYe2Z4KQJFICCxiILXHq4CmSQ69lbuZxpgvf4Z69P8nMQJhaA24eh0cfmWbycISQCNMxNXwatNGkipSS//PBHXzpmQiOK6hWWmC76EA2ewfN/Bxvvd2f3J6bMcgkFISQhDRJKpog5AlSoSipsMfzx+eZPO3LqQ8eldy8O8bpwjypZIxaU5IzVBTpoHguqnTQPBfVs1CEZKrRZCCkILwaFBeQ8RwMb+m6RXYMDpKv11cUE8ByQcFKbrpio8HRuTnKPeo2goegumWRSyRoOQ65gNC6SaiJxJmcoUqF8uadRA4/y3URjYIUTIQVTrUtarLB/hMnmEhvgJeJdHoVntespdPHqnFVjY4XI45arcazzz6Lpmncc889RKPRVW/7YseDlUnns1NTzLRa3JRKnfH3B/9jgSJqoMeF1onn9GKp1eJYterHgDrlVoIJSXSEBOc552ZboGqCmBNGEf4kjgqq6ltNd9+kccNOFRydyWKRN90a49tHbMayKqmIB47HQAyyG1qIqMIPfHeMP/h7G8XWEEKwc0eI4YzAdWFoQwO1qdN0Fd6wN8JS1WODrPB/fvvtVMtzGIbBm9/+dt72Wv/6/s+nTnJy1jtzD4MHZemduZa7X7eLx4+pDKdcThc1dm4NUTw2z9GpNGgKI0NnyHlLzuZ0SWMg5nB4DkK6pG361RYSEY/X7x3gxBGbRtNl1844mibIpJJkYjGmayUGdQPheSieRLgCFIH0VIrVGpgWpWabAeGB00Zp1ZHzk3ipEdh0/UsPkh7kK5VziGfHhg0cXVjwxQRqxxVZJRuLEVNVjs3PM5Y7lyw6supcKgWKwlQ+z8Q7/itP/9nvMhGPIFTBNl3nkarJE8emuGHnbjzPe9EUgPWgb+n46AsJVo+rnnSklJw6dYqjR4+yZcsWtm3btuIP76JbOkJwUzoNUnabsgEMhsMkVZXxwKJZsiwGg3hMJ7bTi4xhcEMoxGSlwnWJBJp+pg30ZKvFcDhMPth/rqc99umGhcAXLLRlExCYtsRVPVQBE+MexZZFVteZyGZJGVFu2CAZHRAkgwf2vGmyZ3CQnGFgWqB7YcJKhOs3K9w4emZi+Xd3Z/jSN0MslFp88akWNVsS1Xbz6je9gX/8p39m151v48/++SD/+S0pPvZHp6lUPKQucXAR0idT6Um/tpulgpCU2zWOFyKMZjxunTCpWS2IzBNKTXJo+nne/v0/Qj64V+Wqja6Aouvk0jU0RXK4VKHmtPCETjzs8ZrX+ZZCOAQTmQhHpusMhA0yiRFGYhHq+QWEZ6FIBcWzUV0YTsfIqRKBR04B4eDXqDPbUDqFLE2xmB6nODjO1Pw8e8bHl313HYLpWjvBg0O+Xl+2XrnVYiKdBtcvAtpxt23MZBDA5OnTPhElk36JnEBCXazXu+6ZPdv8Ip+5N/4o6nf+nqLtoLhwUyZBCY9vHHqBu5IbSW24uLGdXtKRUuK67rVp6fSFBKvGVTU6FEVZFtOxLIsDBw5QrVbZu3cv2Wz2vNteTNL56vw8Jdsmo2mULIuZRoMf3rx52XbZUIhskBh6uFbj8Xzel1TDMhFBwTRZSaQgFIV0sJ/eDqIdHG81CKsR2l6djJZBd8MIxU8E1XWBEbEx8AuD5hsN/ulpj+dPSkI6RAy4eZvC+PiZ/jxGCN5yt4rZUrl52xn5badN9vYNUDsWYTQBJ4uSiIzw1re8hVJ1lB03/wBN2eKPPj1Pu6xjBBaNwCXkGX4pHs9j7y6demsQLaQxks2gaYJ2S3BkNk7D1Lnx9rdzqx5h0zNf58YtW8hFIszMmfzuQ/MAvO8nxxmKhcklw2xIRpjMN4mqBniQCfsTvqaCbbuENAUNh1q1St0OowpAqAjpoUgXIaVP2Z4T9ALywHN94nBd/zu3TAZnDzF4+nkYvO4cK6a3ZM5UqQSmyfjICNlE4kwZHH8A+f974nIdZFMpwpHImRYJ5TLFRoOpfJ7xgQHwPAaSKWwXKs0a2VyOXCZOpdJif7XFd6XiIBW0ZgXNrr+o0nI96N2fE5DqtWnpKMh1EMh6trnScVWQTm8/nQ4BFAoFnnvuOdLpNPfccw+hUOgl97HWHJ/zkc6xep1MKETJNMmEQlR6KhEfrlR8WXK7jdsjid6ZyXSfWpdM07d6zsrX6UXVcdAbDUbj8W7mfFbXyRpR/vYJhSERxVHdoIu0iq3Z/tymgeqG8KRkKBxGepKvPQ2lokAIie2A5cC/7JfkhmDAOKOWGx1UyMX8IWPb8ORRQQvB624Ice9NcNeN/gT0+GGL0sJhYukdJDPQtOscPnISzVL9uE3wO2vJSrcUTzQmeOKgze4JnYENw5huHdPzjxzSYbG6gBOKEI4lKdXyYNxIvlbj0KkmpvQtnmdOlElna+wMzteTLUqNMKrw0BSXbCxJJqaiqyrJiEGpXvV720iJouvQNlGEQFN1cG2/FJDnV5sWIZVB4SGD5nZ4/mvpenjtNvLw0yzNHEXc94N+QA26EulsMukX9axW/XI2rnuOoGClgLKUkoFYjEZHvaaq3UKhHUHB5OnTzJUFWiiDY0Or3aD9qv9A9tt/zE1GmOP1Fpl4gslilXvsFvV6k0Ri5bJO60Ev6di2HVz2VTGtrA1XoXrtM5/5DLlcju/7Pr854P/4H/+DT37yk+zatYvPfvazjJ9l2a8WV9Xo6BDHkSNHOHXqFNdffz2bNm1a1ZPdeqoZnI90MgHBdf7vzWRYClxgJxuNbp5Ox6IpWBbbYzEGO8q1dpsl0+RYo0Em6LxZsm3y7Taa43QJdmsqRe6s2NQLp2Gm7nfiTGlRcD0i+K2XPc+jKUxMzeLJ2SavGhX862HJ8YKFIVRGRyRhV+d03o+zfP4R2DrY5L6bYXJpiYmBga5r6OhpePKYQguTqOaQiMBIxr8PM9UiGX2YgXic++66hy9/vURIiaAL9UxxVQA8NGnwgZ/fxId/dwYdE80Lk4ym8VtlCwaTrp/TFMvx6Bc/xezcHLV2gcH3vAUpYWhDlvvujaEqHuPjWRynTCoa83/LmsZAOMxSxWGhUqXerhIOMvVfODmJpaoMZdLUnBYj6QxEsn4pItuERgE8h+FYBMV1QLp+GZq2iXQdsB2k7eJZNngwhYrieex44m+RAxvhVa8/Z7wUz64qECBfqVCs1ZhaWGDP1q3AGddcodlktlolbRhdMUEvQlqc2ZJAmGW/SRwZnj0xy+jYd7Ml/xgYYQbCOicLDZ6fPMqWxEa4iKTTW5GgY+lcaaTzN3/zNzz00EPs37+fQqHA4OAgd911Fx/4wAfYvXv3K316rxg+/OEP8/u///sAPP7443z84x/nox/9KH/3d3/Hz/3cz/HXf/3X69rvlTU6XgKu67KwsEAoFOLuu+8+k1S3ClysXjz7SiU/Hycoo1PoWC3tNk+VyyAEGV0n26lCEFgzgz0igsFwmCXTJKNpnCyXaWoaVSn9IpORCAXLIqWqK55vIvDMRaVvomiqQFP8uVRRFWIyTEux2JqIk18M8cKpJm23SdoIsWOrSURvYZ+E40W/VpxbiJE+FWNwIAnBOecMA0bg+UmBLlQOT0UAhftudIkYUCxrmFqcqUWHr/yjhalZCOkfH7+UG3i+TPq3f3kLXzsY5ta7tlJtLPHaWwY4lveNobt3tIiEJPtOhWnYKt/91p/nrokW89UzVkIkBDfsGsDQXdygNtxM0b8v4bD/FJ5LacQjGQxd0Gh5zM7ZpIwIsWyabWNj5Fstv2BqowFmA6Ix2HIzpflTVJamOFkqA7BFF2BbZD3Hd7NZFtgOuZDKbREFxVBRDAPaZXj087i771+VYiyXSp2J/6RSHA3K4kyXSoQGBki/SMJyvt4gEd8IUjC1OMNCeZFGo8HE3leTM5+jaFfIpZLMTecp1Bpsac4h5dBFc7FdDe61/fv3k8lk+Nmf/VlyuRzz8/M8/PDD3HHHHTz++OPccsstL7kPyTrda1y+7rXp6Wm2b98OwN/+7d/y1re+lfe+973ce++93H///eve71VDOsVikbm5OWKxGHfffXc392a1uFikc7hWI6HrvhotcLF1KgvszWQomCZLi4uEbJvOdNSJ5fSKCAqWxc5UigFdx7BtHFXl5MmTTCsKs55HQkqW8nl020ZVVTRNQ1NVPE9HESG/EKbbRCgCkxYo/gRx61bJZMVGczW+ecQlqsZAwo2botyx0X8CvmkYvnPKZGrKoFgVTJ5QKJccbrrbjx3lTRPC8H2vgYOFGoeP+O2mi6ZLNixp0wap8qf/uISpuTR1k5gVwQq5GLbfsdRD8v7/Mgb4BBNPhRnekGb7BolQfVdgLOyxWNW6braO8zMUClFrw6miSkSTDCZsqi0wFElZtrBNf/18pYjneRghFcdxcJouD/15mUbTY/tGlbtuN8m3Wn4DPM+D/Cly0gTdgIFNDJtLkIySjSUQ9SKDmkCGBqG8hGw18fBYMm3ylssJ0yWrhkB1/LYQiobc/wi5eAzvpu/uutp6+/B00LEep4pFsomELxiIx6nMznLdyAh102TfsWPdXJ9uDbdkkkK1RjIuOTrXIBFNsXPjGI89/wIz+TpLke9ig/oVllo2d2/ZyIlihXulx3yxzejA8tI+68VKpHOlWTrvf//7z1n27ne/m40bN/L7v//7PPTQQy+9k6vQvRaPxykUCmzevJmvfvWrPPjggwCEw2FaZwme1oIra3S8COLxOENDQ+i6vmbCgYtHOgB702kKltVtZzDYk/A5EArhBOf3eNChEsuC4El3MBLpVpheajaRUlLI53Ech82Dg9QUhajjsNBsUrRt3EoFz3VxXJeSaTLT3IKtSizPo+yVyChpImqcjolxYlZSlw4Hj0lUqaPqkIt53LypQrOpoyoKiqrx9HEVzdZQNJCuZKnm/zg6wgLHgS8fcrCcDG++RcWTgi3DGkLAPRMmzxx1aS9qGFJFOIKQp4OUtLQ20vH4pf8yQqFW50Q5QiTeYCjsUZNFpispDhX8Y7Wkw0DCpOk41JwWmq0x32gzU68QQaFsKmBCOurQtH2tXiwEMTWMgsRQYqiuguFJVMdB9yRKO0TIBcODTNjouidzrQLIIIbmugizQYfmZGYTMjPCgtVi6NQB8Bzkba+DVovct7/mj4OQjhLSQNcZjEYgZLDYtsk7Ep75RzzNoCzOLeraQS4eZzwQuvSKDHxLLcX4yAhS1XBthxdmK+gKxMOSU4U8yUaDsfQoqViSRlsQj8aJxzJUG2XskMFTxRq3bRymUKjwzedfYPfeQWDTmsf6SujN07kcLZ2TJ0+yNXBZroTz/eaHhoaIRqPL86deDFdha4PXv/71vPvd72bPnj0cPXqU7/3e7wXg4MGDbNmyZd37vWpIxzAM4vE47Z7g/FpwMUjnqwsLlIJg6v7AlXZ/kGOxFLSjHgiF/G1cl0zniVDTQFGWJYYOGgYL9TqV06epVCqoqsrwyAgh12XQMCgsLEAsxtbhMyVairbN0YMKSRFDSklUJNBUnRAKjtu5NgnSwXIVRpI1FGzioVM8/cIwDVNn0HgB8HDsXWgEvyVVENOrHHthGlXT0DWNUjvGXClNTIR5bsrh7u11zLZAVVVGUjYzJyxM2UIoAkuxzlQZcBx+6T8NU69Z/PEXTxMRJjt2DXHDRodcWEOXDopr43kQUWwMXLZlPR4rlInGQuieTVrTiCkWtqkQ0z0yYagCER1OFypkBwxMy6XSrKM5LeoNj4F4DEURvOdHUszlQfNKLKvx5jqdLxRGtiH1MLJWRDQriNlj5IZGWIykwAvWazdh0w7E6Bb4+mcRzSaDIZUlguIKQmEwEWfJlXhaCClUkq0y+dkadiTGwNAYmr7cbZY9O7m0ZzxmYnEOnqqSS2+k1GggPXCcEuHQIOXaHNuGh8glPEpNFdeD00unGBvcTN74bk7PfI5bUUnFEggBYdyLpmI7W0gghLjouUAXgsHBQf7kT/5k2TLbtvm5n/u5c8RF5XIZ27aZn5/nYx/7GNVqlde97nWrOs7VmKfz8Y9/nF/+5V9menqav/qrv2JgYACAp556ire//e3r3u9VQzqwfuK4kG1X2m4gFPJzdPwVznwQrFd2HLaHQijhMIOhUNet1qtWa7daHDp0iFw4zHXXXce3n3+efLtNxXURQfB2PJlcJiTIAa/Z5HBsKuS35lEcpCJoeCao4HmSoqgRVUNUCONYWTQVRnMhpib98x1J34pAojYdNClIhm025hZ4IV/mhWqO0UQJrCZWIL9tOAnadfjnAwVS6imkJ/nCsyliIkUslEAiEUJDVzSk5/CTP6JgViocOabSKsRxEbgtjZGYxFFDjMRjvCEpcD1BuBNDSsCfPvxZvjN7mk0bN/Lv3vtexlIJxnoU8EOBEWHoZywFI6oTk+A4NoVmk1gkTDjhMpEUHDrcpLxokYzHKbbbEEqBLsGIQduGts1w4TTCaiPqLRS3AdvuwttxB9ht5KifF4Omo4QjlBwXgcLxtgu6C9IGXSA1jVzYQKo6LjpJwyeghNsGz0KNJKjavpptcnbWTxJ1XQaCygOdCT2XSnHiuVNooRTSU4gYaaSRAcB2Ou7ECnFVcMf2DXz7hVkWy1UiusLebRMs2ZKyZbNUKPMqKclXHAbTF26RnG3pXE5WDkAsFuPHf/zHly376Z/+aer1Ol/72teWLb/rrrs4cuQI4HtOfvmXf5n/+B//4+oOdBXm6aTTaX73d3/3nOW/+qu/ekH7vepIZz2tDeDcHJ+1HLNDOsfOSvrrxGq+Mj/PloAcBsNh8qEQxZ6YDpwpf3O4VuN0uUx5epqmYXDDxASVViuoKKCS1XVyhkFa188hu7xlMZU3CBsqnicx2xBRDITq852ugmYLIp5BA5MGJi27xenjDbIRh0pDsCXkUrQtmm6YRMQmmZY0nTGa7SzCjbNxcIibNvtP++PNNvsOx6m1BK+50WAovYkPfaJCUtQxhB8zEAQVB6TLf/4RF9eVmKZJ3GgSj4VI6A7b4geZOt6mbNvMqL7CTdM01CBOpakqzz6zj8LMDIcOHuT73vY2QqaDpxiEQ5KQpnbX7dwTKSVms07D89iQTLEtnUL0PIGnIxFimYwfwO+QW3q5G2ZJhBFmjWPVBgUtzIlCkfF0BtQE5P2yOtlEAjbfCIe+zaCmQCTBwMA4SnMOdA1XDSE7vYuE3+F10XSQioojNEzLQQNURWMsN0TI0EEI8uUylWaTo/PztKwQsViSTdkIqaggrMYptXoeZgSgKN3SOLpX4LkTh7j1unvQ9RRT9h2Mi6cZH0rylYNHeP7UDEMbBy4a6fTGdC73eM4f//Ef83u/93v8r//1v3jta1+77LM/+qM/olqtMjk5yR/90R/RarVwXfeystwuNR555BE+8YlPMDk5yV/+5V8yNjbGn/zJn7B161Ze/epXr2ufl/cIWSPW28QNLtzS2Vcuc7hW4+6BgTMlbYKcji2xGAOhUDfGA74LZvAs836x2SS/uIgzP8+uzZsRySSKpiE0zW+H7DjcsFJSYQ8i0iDoDo1QBLomqFpNkGAClrBQhUcy5CKQiFaIkUySveNhTuU1rs85HLOWuH0sRK2p8NgRHXAwVQtkGzSHvOknMU416+zdJcgZBkLAr/1hDaH4nUJVofqCAc9DevBr/9V3A87OzvKXn/88X/nyl/nwxz7Gq268Dgk0LUHNaTKgaziui+s4uI6D47q0TZNC0MZ7aHiYRr1OWM+hYFCrNqgsHMILEisrpslALEYoFGJsdISCadKoVVhaWuoSk6ppuI5Dq9ViulhEURRO1WrIbHZZBW/Fc303qKGRVSXpTZvPkajnq1UYGKOYmmMpppPPbSGvamSHNjF4+ln/i1B0XAQewv8v/Nf+07HAlhqmBVJEOZ2vM1OtcNvmAVBVEtEk5baGWfPwTAeDEulonGIQx42FPLake0QBioJQIJPMUWtW8VyP0YEUditEJpNjKLNEoVZno3JuIup6cDbpXG6WTi+eeeYZfvInf5K3v/3t3aB4L+6+++7u6x/90R/lhhtuAOC3fuu3XnLffirxOtxr69jmUuGv/uqveMc73sGP/diP8fTTT2MG81elUuHDH/4wX/7yl9e136uGdM5ODl3P9hdCOkuWxc6gM2inlcGxapW7Bwf9eE2wfMk0KUlJKjjW4wsLbE8kWGg0OHnyJGazyT0330wikWCp2WQwFKLpuiSBsm2TtyyEEFQA13HY0nMuxVYLE5Wmo6AoUHXLfvFbFdJ6DMcDQ1XRnDBCwJ6tFhvSHnXH5LGDBo4nMG3BjdsSWI0IA4ZkKKxjOnDv9gab04KIoXH2sClYJv/nc02kJn0LAxdwwPNwHY9/+0N6t3LBV594gi987Wug63zu//v/2LptGyeLIUpNhYpjcv+W4EfY07GzWKlAOAyKwtjOnciBAZpSYpttwobK+K5dSM/DlZJwuUwqHMZxHErtFlONBpvDIVquh2OaOK6L57rUTZNmvU68WCQuBA3b5uTcnB+zUlUMRbKrVQAVhAoJTePI4iIFVWUwFkOXDnqtSHxwI5oRZutNt5NNpci6NsWDjzGoCRb0JEqzgmt5OGqI48UKWzQdTw+z1DJJxUJICfmm6ROS1Cg024TDcWrtFKNb76Vu6aSD54wNSQ9P0Xj6ZAtokgi7bNsQp9Gi2/oA/GKgN49vpdjUsW2PUwtVHHsDUlkiFo1TaJoowi+AcKG93c6O6Vyulk6pVOKtb30rO3bs4A//8A9fcv1MJsN3f/d382d/9merI52rsCLBr/3ar/HQQw/xzne+kz//8z/vLr/33nv5tV/7tXXv9/IcIevEK0k6BdvuJoM+Xizy/aOjbE8mu0mh4LvbBg2Df7JtTjUaqNUqGcMgqSgcOnIEW1G4YdcuEitUKy5LyY2RCLlAiJBWFCbrdWI9me1TrRYRZYRQ2J8EFEUSJgoIYmHJjvEKmgKHJkO4nmA05REJQ6MBoxmX6YLGaMblZF5ldt5ACMnrb24T1iWFJkSMFVRXhsH/70/aRKWBJyWKIlAdlxAG0nX55fcmOVoodEu8PPBd38Vf/OmfUq/XefKpp1iYncWSY+AoGJ7SrU/Wi9npaT9j37bZMDhIWlXxZJO0bmDogOMh8Adzq9ViNJmEUIiEKlAVwdjAIKq+3Krc/9xzxAcG2LphAxJYrNVI6zqu6/ryateltmCjN8sUIxFq2VEM16VYr+PWauyYfhpd2phHQywkR5g2PaYTAyQ1j6xjgaKhqx6pZByJwNbDuHqIJcvBs9ucqjXYkLL8mJbUmRgcwfZ0bMvDU3QKzRapcBLHE3gSHFcwV9NJxgSoKslIgt1jJtP5aabm50HTyG7d2k0gbbQVbBuSMT/uc+jEC0TVCjdt3szUwhIKgn3THrdvubBJ70pwr3mex4/92I9RLpf5+te/fk6x3/Oh1Wp1uwq/JK7CmM6RI0e47777zlmeSqVWr+pbAZffCLkAXEhM52IKCXamUhRMk52JxLKCnh33WlJRuDmZRA+HOZXP863Dh9k+OMjohg0Mn1VpunOMmuf5GfGtFkIIyo7DTUNDTARS65mGTbkUQ9ctHMfPvWwKGz1kYTgGlis4sRRCdyJIIdg06FAzFaIR/369arvNbRM2ZcekuhhUsgaUIP2g2Gwuc+cVAzJ96C9bSOn6hKMKHCmpeWXiiuQn/22om4PSzU2Jxfjht7yFP/rUp0BKvvrFL/JTP/Nz5OsaUvHIJc69/triItTrYJrs2LzZbyfQapFb4V7BGSFBvlajrYYotdrQWq5qLLda5BcXSQTrVtpt1M71CUEuk4HM7QCkqtVuS4F8o0EuGkWcfgrhCSKGwrhbJuLYRHbchWxWaJ+uIIXCghJn3vW/t4SQlCyXdCxJOp4gkTBJRxM4UqNQbbBYqeNJhZnFeUYHN+Hh9y2SgOcpSCmCbyTNSHQWRa1Rb0jSsRjZoNhnsVYDzyOXSmFoHrW2QqVeRlEk2eQIQ2mdYq2Fh8bB6VMM5W5c8f6tBb0VCS7XrqG/+qu/yj/8wz/w93//9yvKpxcXFxkaGlq27OTJk3zjG9/g9ttvX9Uxrkb12sjICMeOHTtHHv3oo48yMTGx7v1eVaTzSsV05kyTUlDKplNxAM/rWjkdVVopSPhM6zrS87DzefInTrB5yxbiuRzHmk2UwBUHcKxaBSEw222klOTCYdSgLE76rB/35FKInIiCClL1DQZFOiSUMBXFRErJVLnFoKIiJZQWfDLZmg5xolghaTjsHDU5nPcYCIfYvqFIzPCoWZJaYKwtS2rUNB59VCWien4vHFUGVa0lngu3Dp1mNH2TPyGd9fT7Q//m3/B//+//xZSSL3/pS7zrXe9iYyZN/jxq9+nTp7uvN21afX5JLpEATSMXOTcRMh2JkMjlzpSl0fXuevlqtds6AGByfr77uthq+Td36x4GTx8mH00imhWKQieNQFQWmGxaFB2XbDZMbnQLUno4S9N4TolkNIYtBFJouKhIFFLxNLZUkVJho1RxXEmlVcOxPFzPJ59EJEvNbGBJjVPFFsOJEearYVKtJyi1PKKxjdRaDYp2EkXUicrjRCJ3Ml+aIWokiIZiTFdi3DxWYipfxJMqqiIvWDp9ubvX9u/fz4c+9CHuu+8+FhcX+dM//dNln//4j/84N910E6973eu49dZbyWQyvPDCC3zqU5/Ctm1+4zd+Y1XHuRrda+95z3v42Z/9WR5++GGEEMzOzvL444/zvve9j//5P//nuvd7eY2QC8QrpV5btCxfRJDNcrheZ0D3EyELpsnJVost0Sg7A7dHl4iChM/rd+xgSy7HkmWRURQK7TaFIP6RiUYZjEQwFYXEeQpCduA7rzrVm31fveKCEJKUFqJqNYijIjwXVZE4rqDuWRzIQ9P2EKrBUzMG806NeivCrZvbxCOimwx6NqpVyckiIARCA0UoeI4HEjYPwdiQT7T5FfKmUqkUb3nzm/nLL34R0zT5/Oc/z7vf/e7z3uOZ6enu67GNG8+73lrwYg8Yva2n880m6UymS5xl2/ZbRW+Y4EhiEKRkwLMolqqkXRcZzbAtXIBQhOyQX3FBCAVtcDOGlsAIG1jNJh4u+WabVDiBi2/JOFLBdAWpeBaTBq4ED0GlXqPYPM1Cfo7Ng0mGE6O+MMTWmROvoSFKmGQoOWWEKogaSTwvw/HThzDdFoPJjQj7JJpwcQhTM03ytQabRuCb3/wmmqah67pf1SL4631/vteapl32QoJCoYCUkn/+53/mn//5n8/5/Md//Mf5qZ/6Kb70pS/xla98hVqtxtDQEG94wxv4f/6f/4ebbrrpFTjrF8fHP/5xPvKRjzA/P88tt9zC7/zO73DHHXesuO5f//Vf8+EPf5hjx45h2zbXXXcdP//zP8873vGOlzzOL/zCL+B5Hq973etoNpvcd999GIbB+973Pv7Lf/kv6z7/q450XglLJ2+ajEYiXUIZNAwez+fJGAZ7M75P/XCtxs54nNP1Okqthqso3HzLLUzW6yy1WhRsmwFdX9bW4HC1ypJlcbhSoYZPWCOBS6n36TRvWXieQUiVVK1mpxEnRbOILiQIaAuLuB4lpYaJGx7VlkKGKJmYx0JNRSOMIgBdMqCH2Bz3mKrZzJZchlIOVctaFnX+1BM1EkoMT/FrqAkBUoFQW+NN96rMnEhwqqSj6Bab4udW+H7b297G57/0JST+D+PH/t2/O2/r3pmZGQDC0SiZ4H6uF90ePI6Da5rEg/fFdpvJcrnrrpT1Mkwfgw1byMbSZ1RrwRjJRaPLlGwyHrjgUikY2czRxSW82pngPkCp0WAwk6HWtklHdfJ1C08KXKngSgVPCiQKhUYDKQSnS4sMx4YZHtiI9CCsxHEl4LlUmjXCik0k7N8Pz5PEwynqZoVqs4zjgBGKo3sxThdOEQulyMZcLNdi24YJirUGCAUxche3jNl+HMtxsG27+9+2bVqtVndZ7+cdCCGo1+t88IMf5Nvf/jZzc3O8973vJZPJ8OpXv5o3v/nN6/6u1jK5ng/333//S/6uP/CBD/CBD3xg3ecJXLIyOJ/73Od48MEHeeihh7jzzjv52Mc+xhvf+EaOHDlyjosQIJvN8ku/9Evs3LmTUCjE3/3d3/Gud72LoaEh3vjGN573OK7r8i//8i/89E//NP/9v/93jh07Rr1eZ9euXWuqabkS+qRzgdsKISg5DluCZNCSZbFkmmxPJECIZfGcyXyeR44f5yZdR0mlqLiuv04kAqp6joR6QNcZDIWwIxHUYHB21GtlKZlvNkm1WhRtm4EwzFVdhAJJPQZSImWWRCiKAISmEcMgHXHYPWZheQJDk2gqLFRNynULVZHEEi2Gwy6uB3P5BBJBVLXJRh1y4TDSg9//O0hLCKPhSYnn+b+dBm3+/Q/DQsWmmthCrWxTcJpENp97X5VUihsfeIADjz5KHfjUF7/I9ffcw/hZQV7bdZmzLBgaYnBggBeC/Jipep3xYPD3ZvIXTXOZO29yhUBwLhIhrWkkDaPrUstFIuSbze57+a9fhkoeCqco3PWWM9v2tJ8+L1SN7AoVwIu1GvlKBUd6FKompWaLfK1JLJrGlQqOq1ButYhGQyRCCYbiClEjgfTAdX1yikXSfq6To+DZDtV6iXqzTLstQVVYqs4zEBsmHk7g2g6xWJqmU0V6HnOFWfI1mBiNABJXqjSsNMnk+VtorIROszbbttm/fz8DAwP8wA/8AKqq8rWvfY2hoSFKpRKFQmFN++3FWifXVxzrdK91hASNRqNbviu2gpCog9/+7d/mPe95D+9617sAeOihh/jSl77Eww8/zC/8wi+cs/7ZhTl/9md/ls985jM8+uijL0o6qqryhje8gUOHDpFOp9m1a9dar+y8uOpI5xUREuATxLF6nYrjnNMLR0qJUywyNTPD0MgIxXabnKr6NdlWc8zO05Dj+BOqEAjPo2bboKoUTJOmGSJkCKSEkJB4EkK6h65IPE+iqRJDhXjEo24JSk2F4aSHpkpUFa4f9cv3LLXBcgSu51dstj0Ia2fO8Q/+HlpeA9MzAc1vLRNUjv5P3yfAtinXasiGi4jkGNZXVqQBvOf7v5+f/cIXAPinv/xL3vp938foWeX7bcvif/7n/8yRqSlGs1l2BNW7s/F4V0jQG38pVypke8g7rap+858e5G2bcqtFcWmJeO8PvNc1lBrwSSd5/sZ/L4V8s0kuGvVl5K0GMV1DahqaBpmUwolqg4iiIh0XN6i6XamWGUlvxHHBxf8+O8IQ8FO/POkPm2g4jeeBIwX58mkiRoKIFiFmJLlxs81C0WOuBJ7jEdaTLLYEIVchGk5Ra1c5ODXJyMDOF7+IFdBJ3tU0DUVRSCQSvOlNb8JxHA4cOHBBctoO1jq5vtK40DydDRs2nFl2njnBsiyeeuopfvEXf7G7TFEUHnjgAR5//PGXPpaU/OM//iNHjhzhN3/zN19y/d27dzM5OfmitevWg6uGdDo1n14xyXTQsC0TCi2TSXuex3eOHOFwscjubdvYlMlQnZ7uussKtk3Bdf040FnoxHZKpknFcdiI/0QuhGBR1xlOJskZBlIIZmphXAl1r0XNayOloImFQANFogaDu20JXlgMAYJCQ/KqLWfI8UixxLG8Tsj1n7gy8QqjMRcjJJksFvnsNyXSU4nrcfA0Il4I1/FAhXd9D8Sj/lObbdvMFF7gpl0j1FzjvCozNm3i3le/mmMvvMDbfvRHu4ul9GdVoSjooRCvf8Mb2FOrLe+22YOz+8wse6/rKx4/FQ6TGhpa1t/m6MJCl6Dk9ttgZBvEkpyYm1v+cLDK5JbJoKCrbZq0mzVKtQajhsFoOgMxKNag5QmSRgLH8y2dkQGFUq2M6wmqrQZlr8JQcqMvm3ZAhiTSg1q7zlx7nkx4ECkhmxglFk6yWJ7mxk2TjKZinJpVsB0P25E4ToWwnkBTYWpxkXgkTqHSZGzwwtRTL0dM50In11cCl0JIkM/ncV2X4Z56iwDDw8McPnz4vNtVKhXGxsYwTRNVVfm93/s9Xv/6c/s9nY1f+7Vf433vex8f+tCH2Lt37zkWWLIn9rkWXDWkA6+Me+0Fx2HaskgTlL0J9vFUtUpMSrzTp1GE4IGbbkI3DAZDIWpApqNSc12OtdsM6LpPQqbZJaCSZTEQi5ENh6loGgP/f/bePE6yuyz7/p619rWrerpn687sWWYyWZgsEIgIAUWC8PAS0AcQAZHFV0QFFJXFhCCbUVFUQAUflE1ffFSEmEhYQsgyMyGZzNKZ6enZu7v2vc76e/84p6qrqrtn6clGZ67Ppz7dVV3nVNXpU7/r3Pd93de9SFFfAlTZRUEirQQRwsVyZSTXIa4EqDhtqnKNZMDiYNX0B7qBrggmKjblarX7vrPqEKjeIhJWHMZTHoE+si+MJBuElDB1t90dJ6qoMhdlIbpA60NAFdTP0Pj+3ve9j1g0iqp5DaRCCKq1BrbtEgkHCQZPP/H1bJBvt+cRT6XVYt3Alygdi/Ur3eIeIUmS3EdkEzMzYNueks3HkdlZxoaHPVscH+vSaTLhMI6u0RA2WC4rYnNf1EvXxHnoSN1TqLlSN7KJhlOe91wgzfHCCSqNMo4tMTU7warsFiQgpEfRpDBRPYbjCqq1Im3JJRFazUOHqtx8tcGhkydBlig2pwnpMSJalFg0STh0nMPTh7l8/fZuBLVUPBnqtaUurk8rJJZY0/F+nDx5csmL+JkQi8V4+OGHqdfr3H333bznPe9h3bp1Z5yJ03GVvvnmm/tqyJ3/ubPAePWzwbIjnafFe811uz054NnbtBsNmjMzrE2nuXL9ego90c8gwaUUxWOBDvwr6VTHr03XOUx/2N1J6+VNk0JNIqjamK6M63pjpx1qGKJE20lhOCZro4KUaiNFUkgIEkGXTMThWNMiFBagaVRMk3S6RrGhoMgQj9nkTaChc6KqI0neRFJZQFgKIVQBuPzcnHvIOWMhYYBte8fCsqzzJp1MKNQVDwziTFLhzhjwYrvdF910FGzpWKwrI08HA2SsCvkT0zC0ClTd623yI6ehVAZD1pB79iNLEmvSEsWaJyAQrteL4wgJV3hNoY6k4KDiyoJUbBRh2zgCHEfgCNmLYiwHxz9/XATNtiARSXDdZXXuP1BHV8KerZDs4jigqQnSsSylehVHPLGRzjNNMv3TgkgkctpaDkAmk0FRFGZmZvoen5mZYWRkZNHtZFnuDmPbvn07+/bt4/bbbz8j6Xz3u989uzd/jlhWZ8jTEemU/S97h3DyhsHs7CzWqVM8f9065FSKgm176rROrUGSKFoWkXabg7UaqWCwq1rrVa8V2m0ONpusCwSoAHnbZuUC0U616SBECwSYPncNBcJICEwHEnqYVUGVoYiLZdrYLrRMiWOmAqjYOGTSXpSWCeiQ7OxZ4WTT4D/3SDiySVuxEJiU5Dop/xLtdTfa5Afq0EXbpnIe/4doNIhp2IRDAR599FHi8Tj6eSpmBomn6jgU2m3avaKDcnl+jc22u3WkQfQJBcw2NMtkdEBxPBWbqnafk69UODw93Wc6CqDJMptWuDx2UvWIxpGotOrYjoTrQt1okkmMYDtgqQ6hQBIQWLZgunQU17KxbC/l5tgCXKg2q/z5N21ahmBFcph0BPK1U+TKx4lGUhw6XmU0E8dxwXFl8nnInHnA6YLoJZ0nqjl0qYvr0wmBvKQpoOeyja7rXHXVVdx999384i/+IuCl7++++27e9a53nfV+XNft+qidDi94wQvOep/ngmVDOpLkzXJ5Omo6q3Sdg82mpxA6cYIxw2D9unV96YGDjQYlx6FgmjT9wnp3RPUiUuEhTWMoECCtKCQAhGCiVkMCjto2jUqFy6JRxhJRqi0ZSXIRQvjrpkMiEKLYauHg4jouJ8ue47OqQFh1sZBoGRIhfeEITwjBvQ/HiEqSJ42WLIKS59sWlgNcc4mNbbXRlP6r5XKtRs00mSiXOdpoMLbIFdyRQoGxnkhn19GjPPo//8N111/Ppg0bwGjyh3/2ZxRnZwlks/xlT/HzSL2+4H6P5HKM+XM/uo/VaoxFIqR7CL3WaIDjkAmFEOUcYvYUYmRsYUPPAWTC4W4U1IUW9MYiOCaEk/O36RlH3d13pcLuY8cYSyYxLYm9J9qsSK/CtSWigRiOBUNhiUq7TkiN4roC2/GEIa4QhPQ4lgvCtWi2alRbdSLBOE2zgR4Io0thDNMTHgSUKOgu5UqBlqizLriKeruG7cB/7IFfuXH+/+ds0OtI8ESl156oxfWpxFPlSPCe97yHN77xjVx99dXs2LGDO+64g0aj0RVcvOENb2DVqlXcfvvtANx+++1cffXVrF+/HsMw+Na3vsU//uM/8tnPfvasXq9cLvOFL3yBffv2AXDppZfyq7/6qyR6zuNzxbIhHXh61GsVYExRcICpo0cJANu2bWOyJ50Gns3KVakUBcvySMZ/rYJldRtHB1GwLBACV1Go2DYrHYd0IEA2FEJoGpVwmLLrIuwWhhA4jowLpFQNkBGuQFUcZEmmbXupMFUS2EIhqLusjYPtOFSM+ccs32jwXw+r2I7rLXKu1/eT1sHAZDzbomULrIrDeDpGIjz35bHSafR8no3JJEORyKINpmlN64oDHt69m7/6/d+HahXj5El+4ZOfxLIsihMT4LqsHh1lUw+ZpCORBQUCaV2fJyzoVbp1sDIeZygaJVcuY//HP4NjUF69mdLWa0n3PHdyenquN+d0OXdZhtGN84+jr2AD382gd1FWVcYyGdLhMJtGIxw6MYFr2whbomp6vTbRYJJys4br4P8fRJd8wnqccr1Cy2wQDCWwXYFlmCS0NM12mYAcwREC4XiLdkCJ0rLqOEJg2xKuDbYr4bg6YM5772eDJ2uezpkW12canipHgltuuYVcLscf/dEfMT09zfbt2/n2t7/dvcA9evRo3yiGRqPBO97xDo4fP04oFGLLli38n//zf7jlllvO+FoPPfQQL3nJSwiFQt3+qE9/+tPcdttt3HnnnVx55ZXn9N47WHak81RHOkgS0/U65RMnuDyTwRweZrJHItyRTo9Ho2SDQbLBIFOFAgXLImdZTPmjqbM9X9acr1qbqla5Kp1mKBAgoaqkg0GCPQt4QpbRXJUQ4GpeeqZkW1RsA3wJZ921KLsGqhwgo+nYwkUTguOVBq4soSkSk6USCEHRsrry5lO5CFE9jOsIHFfguACCsBxBpsXmUU9vIMsudcMlET4/u+LLLruMTDZLvlrlgR//mIOPP44eCHRrXaM9ktInEpl4DDsUgLbNcDJOKRrtFxMI4c2pqVb7op5iqzVPit2LfLMJksRkodCXsssMRGeZSKTrT/fiy1dgOxH2zehYjkShUqZaL1Nr1bAU05NL+6TTtGq4LhSaswQlnaAaw7YdXM3FcaHuVik3T7JCS3i2R40cQSVIOBTHFjKHTjxOOBzFsiRkeen/uyfLBudMi+szDU/laIN3vetdi0Z899xzT9/9W2+9dckS9t/6rd/i5ptv5nOf+1z3/2rbNm95y1t497vfzfe///0l7XdZkQ6c3t7kdFhKlCSEoGgYGJUK146Ps37VKnKGwcFWy/Ne8wknGwjMExIkffXauH9Vvb9nANyQqpINBhmPx72oZoHPJEkSRdslYdlEVA0hXCRk0v7J4SIjXDhRKZAMhWiYLRpWG1eADCQCQVxFAVUiGY16LsWq6kmwBfy4GPYDMk84ICSBLEkoKtx0aYu0FkKSvDk48dD5mxaqmsbNN9/M3/3pnwLwT//8z32jgkdHR8/7NQYhAZKsoP7cL0MpByNrYZFc97woZ2BxnTx1qk/NBpAOhUhq2hzRLNKv1IuRlEPdtDg0qxMNJbFtsFyFgBxh/7GHiEdWIFxBQIsRUqKkQlkc08I0LK+ug0C4Ak2OoQXD1Bsl2k4DVQpiu4KAHCMaSOAoBo4tsOylia46eDJqOh2cbnF9pmE5eq899NBDfYQDoKoq733ve8/aCHUhLCvSWaoCrbOtdZor10E4jsPevXvRTZORTIZsT7E5pShMGcaitZrOlzTXbjNVq3m1G00jGwzOebNZFlPtdn/qbUC9Bi4jwSCmbVMzvS55ATioXmFTQDISJKkHSKsKtlABgSI5gMKqsLdAFJtNJptN1kUi5E2Te/YHsTBBCBwJXNlTRSmKxA2bylQMm+GAQzioEluAcJZqIPniF7+Yf/mHf6BSKnHXXXf1Ec2TFekASOEohPuFCvkee5xBggFPdLAu2WOP02se2oNiq9WNkCZPneo+vtBzO9iwwgbR5rHjcWpGnVxjhmQgQyI6Qio0iusKao0SNUo0zAa6q+NqviO1I8Dx+pzaZh1djSJcl4ASodqawQ47SLaEkD0HcSEEjrt8DT8vYOmIx+McPXqULVv6G4iPHTtGbJGSwNlgWZ0hnZN/Kc6555Jea7fb7N69G4BoLIauad36y8F6nZSuc1UySdZvFM1ZFiXXJddukw0GKdk2pmkSB8ZjsTlBAf3TRBOq2iWhCp48erX/3JJtc9y2WT/sUvWL2pmAhotEJBLEdWSqLYeqbTCsClxcNKlDqsIbGua6KLJMWtdJKwoZXefBQyoxWcdVJBwJHFcgJKjLBoFAiYpQOdpuEQ0ohKWFdfoP5/O0TJNYqcSxdpsrFllgJ/P5PiJtWBYv/cVf5Kv+wKjv/vjH4Ke63J40FPh2NwtcJEzmcv3PYU5IAF59B6Diq9daA42evbY5mVAILGueuKDv72dAOhbr2z4Tj5OvVMj3vE6x2exGQx2LHV1t0TQsXFcnFRwmKEewFBvX9SKZUCCOYwvqdpXp2hTZ2DiO4xJS4wghqBg5NKGhy2GCoSjCFRj2JK12BUVOUbebxMJhCpUCQX3pfnaDkmldP/++qp9GLMfRBrfccgtvfvOb+eQnP8n1118PwL333svv/u7v8rrXvW7J+71AOj3bng3plEoldu/eTTab5dJLL+UHDz5IQpaZarUgFGJDNOq7X/rNlj7xpDSNnaUS49GoNxVFVUGWGQoEumQ0iA2xGNi29zfHoWSaNGs1JEmiCqDrZMNhNMPAFQJJeAORjaaLhCCoqKiS44s5La8pVEi4KOiKizxwjGpNqJmaH6AJb4aLDDWrjoJLIlREsWKkcMC2vBBoAWzPZDhWLLIplUKu1/vtZXqQ9IetdVA2DH7u5pv55n/8B0a7zfFTp7pRxoZ16/oijnKrRXqB/fbuM63rZILBrpAgX6t1h8nV63Xv94GUV1JVu4/12usshHyrdVbEM4g+BVujQdk0eeDwYSqVCmMrVpAOh0mHQqwPTDJpXEXVqjFTPUGAMEIROK7Xb+MKQTK8EssW6HKMUvskLaMOQnjpNNvGVUG4rtd0Gsjiui6F+gliyRCaEqVQKTKaTp7zZ+hgMNJRztKtYblhOY6r/uQnP4kkSbzhDW/omrxqmsbb3/72sx75sBCWFel0VBuu6/YpOM4GZyIdIQTHjh3jwIEDbN68mTVr1ngjsv3XGw8GvVHVpjnP0qbz2FA67QkPVJWi72KQ1fWucKAX+/0Fr9RjLrk+HCYcDiPJMrKmkQsGOVCpEG7XQdhYUgAhwZAiQFFRXANVGCho3VNbliSQBIloxHPIbjaZLBZJRqM8flzBceqe87ELrut1yCcDUZ63sUTFGCahaihtg5XJOKq68AIz3UkRttukg0Eyi139mma/sk0IMoEAN7/whXz9a1/rPhyNxVg7NDRPgbagvY5pLj7crSclsDKRIBOLzZ8iqShzc3VqNSYHekV6UfRJJ1+pnDZdlm82PSJTlAXNQneMjXlRXDrd3c/UiRO07RpDkTyVugICQsE4juMTjuvi2N48nJbdQJdr6GoEnTANo4KKRK59mLg2DLKMhITjCt/J2vVViVBplMmcRyP8YE3n2ZpeW441HV3X+bM/+zNuv/12Dh06BMD69evPevLqYlg2Z0jHew2WJiY4Hem4rsvevXuZnZ3lqquuIp2eM4GsuS4zpslNuk7WJ52DzSYbQqGukGDI/1uu3fZco1WVhhAc9NNiBcvy6jkD5LMlGiXnG4MmNa3//UkSCVkm3igyJAuEJGFLNrOuTMUVuLaNImxOtD1PuIJpkZYVhAQIQdM1CYa8lM66dJrd0y7xQASE52hsC8+axYNNLBzAwMFQFJK6uijhDGJRwjkNbrnlFr7xjW8gOsq1J0FEcDbIxGIeES4ile7UawaJqdhuz9nh+Aq2pKZ5EdcZus47GIrHqYbDbN0W46//q0mxOo3mBrEch4Aap2nUPFWh42JaTfRAGEe4OEIQUGO0jQqqHKRtVgjqCZpWjbpdJKBFiQdGMZ2jXvNpu4q7RC8cryfsmT1P56nCcox0KpUKjuOQTqf75goVi0VUVV2ybc8zl2aXgN702lK2XWi7drvN/fffT61W4/rrr+8jHABkmYgsk/Wv2DtRzk5/hnh2kR6VpCSxIRwmq+tM1Wrsr9W6PTzZYHCez9pgurAkBLowwWgiOTYgUFwbzaihtmvoZh3ZtpEtE9lqkdVlJBUUFVRFeOPeVM/1uGyo1A0FVfZm70gSKBIoikBRXG66tF/RNUgkot3CbZSWrBwcxPDwMFu3beveP3jwIJ/4xCf4n+9+l9YiljbnivN9p/lWi7LjgKaRTCS8FKJ/S/tp0c4tqeveTPlz8aryj6UkwU1XholHhnEVmZbVoNQ4RaNdxbFsQnKYqJbC9fuphBAI20U4LjE9i6ZEKTZO0LZqhEScgAjhCoEiR6gbNYaiq7GspYlvRPc9XhASCORutHNOt2fwEvza176Wr/j11V587Wtf47U9Br3nimV1hnRO/qUo2BZSvvXWby655JIF89WS98Ld+zvLZcbDYVL+CIKcuUDTnSRRchxPnuu6XJVOd2s6OdMk50dLDISxgwvlCknwaKuNhMDBRgYU1yEdjiC5Fo4iszYSRHMt0gJkIRDIOIpGIB5H0XSM/En2NkaYdatERNDz+xKSf+UGEg4zpRyyFqTkCNIDx0C4Nk7xqHcMHQcpnlmwntYrAuhgsljsu180DLBtTp06xcFjx7oiAgHc9+ij3HfvvWi6zhVXXMG2667jxquvnhfqT+ZyIEnzGkTPBb2WOcV2e9Ga1LpU6oxiAwAUpdtwOuhw0ImiirUam3osXjoRRL7RIBGDqlkkLUVIhlfiWC6u5tJolmi0y1Qbs4SjWY8EXLcbgbTtJq4k0JUokutSMo+SDI7iCpe2UUfXVM+7zVl6pAP0RTpn8g+7gJ8e3H///Xz605+e9/iNN97IBz7wgSXvd1mRTgfnG+n01m82bdrE2rVrFxcmSBI12/bIRQgSmualxQyjKyI42LOI5dptSpblzeDxXad702qDg9wKtg2WRVWSKNg2rVYLWVGo2jbHTJX14SBZyQVhgKTiyiDsNhJQsJoMy15tRnEdkGRkYaOoARQtgGG6HDFHSKkBRtUgSUVHKBKOInkiAgTXDE0h2nUwahSDQ+wuFBjrKZ4L4eI0DRACmSayW+ZwoUDTMCgWClzU89nSg+4EQvSPK1BVgrbNxz/yEZr+ALChTAbLsqjWamAYWIbBA9//Pg/s3Mk/GAbPec5zuPHGG3n+859PpLMvTWPCH/YGC1vmPF4qkSkWCQzUWMq2zbreAWynIZR5VjhnwEJpug4JHZmdJR0KUWw2Scfj1JpNyqbJKF4D6at2JLh/TwTHchGuwHVdgmoc23EJB4ZpmVWE43iiAUmm7TYx3DZRPYPrCGRFQpVDtKwqYTVFy20SC4/SaJcRsfMjnV5HgmdvpLP80muGYfRNie2gM1F2qVhWZ4gkSec9F+d09ZuFEJdl4pLkpcaA1ABpZHUdJImCYTBVrzMeDjOk62cldMjqOgeLRYZUFclxKBmGd2Uvy9QkiRWqRrnRYoUu+1GQi+w6SMLFkRVk4ZKVJXK2jaxofsZGILccZkoraFoyriRTsVvIEtTMhtdU2j18DgXTwW2bfl7OZiwcZpM/JbUDEffTSQFv1k9CkjhaLLImnWakZ7HPGwb5nubLomX1NWM+Xq3yz3fcwZF8HmIxVq5cycf+5E8IhULct2sXe3bu5Mf33Ue1UoFMBjuX475HHuG+Rx5hxYYNrF27lqJhsCkW6xMT9FrmtB/dTfO+77EtM8KGoSFCA+qziVyOYqMBts3k9DTrVqzokzfD6XtszhmdyDEQmFPn2TbCcTxvOP/4xUKwZQ08eggc4U1ycxxB06igySECIkTLrdF2W7iui0YIVQrhWA4SEi2ziiKCOI5DpXWSQCxMUOtMJX1i0mvP6pqOJC1RSPDMJZ0dO3bwt3/7t/zFX/xF3+N//dd/zVVXXbXk/S4r0oHzG1HgOA73338/Qgiuu+66eQvSIhtSdRy2+l+2g83mXIOnv6AWLMtTryWTIMvkazVKQiDZdjey6ZVN59ptj8Rcl1QgAJJEUtNYFw4T1TRkWWaNppGSZep6mIJRQUgSEhKuJIHkklFsZCHjmeY7yEIBIciZNpKkMO3UcSQN05Go2jb1Vp1YeIiIHupGOc8ZMxGsAjsDisaoJDPh16r6DoGqg3pmwcA8DzbL6nvs81//Og//4AeANwPkkx/+MKt9++Pnbd/OL95wA+5v/AaPPvoo3/rBD3jg7rsp5HKsHRvjio0bvcXPP/Z33XUXjUaD5z//+RAMdmfqNP7nv3DLJaLFErz0ZgaxKZvtk0IvGJ34JFRstcA0PX+2zmc8jehgseFvmUiEsWSSTCTSJRlVCE70vFa50WDrpgaPHPSmzTqOQOBZ4rRFi7aoo7lBInIGIQmKzYOoSgRdDeIKF4FAk0OAN+iwbTSoNSsgSRdqOk8AlmOkc+utt/KiF72In/zkJ113kLvvvpsHH3yQO++8c8n7XXZnyFIjnWazSaVSYXR0lEsvvfSs+w1qQhDzv3RZXedgq+WZeEYi3FcosCEa9dJoPinl2m3SqooASpblEZQsUxgIVzupt2wwSG6BULbzRb9YtMhbFsOqhKuq4LgUXCgS4OFWi7WyzNFWm7GggUAmHQySUmXaoSC20HEFSKZFXFFJamEc17O8kfDCaglAXVgMcTpUTJM15/D8b37zm3zrP/4D8C4cbr31VlavXj3vebKicPn27azavJn3v+Md7HnsMRr1+rz055e//GUOHTzIpz71KbZv387VL3gBP//85xO++noa37+L5pqlj+DtRjqaNkdOiQT5SoWJ2dl5z99z8iSXjYyctXKtg1Qk0t3vjo0bmTh5kuGUyeQxG0eSsW0Hw20QkCO4josqAl49x3UJKRlM0aJt1RBCYNHGktoECBNV4wRCYZpGnZXpTf78oiVcpQ+QzhNtg/PThOXYHPrc5z6X++67j0984hN87WtfIxQKsW3bNr7whS+wceN8c9uzxQXSwbN1OHz4MIFAgK1bt55TY6kEVHteb0M4zMF6nf2NBqlAgGwgQG6BzvmS67IpHAbXpWBZTDWbDJ0mslrwcwkBsgLCIWcC7TbIKigKUqPCVapGVpbIBGWyAYW8I3CH13K85VB1bRzXwRYKJ50mEUcmqbsoshflbLR3A5ef1TGQZ48gFY7hjqxHpEbJnmURPxONkq/XObxvH396xx1d4cDv/O7vcsVZONhKstwn5ezgxPHjHDp4sHuMHt69m4cnJvj8n/4pW7dt46rnPpe1w8Nn9R4XQkdoMFkqUaxWScdiXn1H0zzn7IEa0JGZGdKhUJ+IYMEIqseResFzWFW56TqdP52qYNsCTQoiLBtND9ESta6AQLheFKRJIVQRou7maNlFVoQvwZKaCAGKHAGnRTZ6EaZp80SQzrM60hGdOui5b/dMxvbt2/nyl7/8hO5z2ZwhnXrOuRh39tZv1q1bx+zs7Lk7GQC9rl0FX1CwJRplf622IOEULYuybYPrdp2nhzRtLtXWUa8NfL5eVC0LTZYJSTqHqg3W6xLDgQBCcn01nUvOtQEJyXaQJJtIdAVNRyKshtBQEQIsVwYRouQanGyXiWkhwKXZbFA3TTDbSHYb4c+IOdJus6nnfeQbDeTjjyM5NuL4QVw9jus4nGq1WNlqnfEE23voEB+97TaEpkEgwM0vexnX3ngj+Xq9T2RQHDgei9ngFBsNUvE4n/zMZ7jvvvu49957mT51yquZ2DaPTkzw6PHjUK+zfuNG3v2bv8nlvrdU3hc9dKxwTqdcy4RCkEqdWbkGjK1YMY9keglocnqadQPDyYQQVEyTfLPpfXZNo9xqsWl4mKQuY8ourm3TEmVaZpm200JTAgjHpW1X0KUYRfcYIZFEkyMgCwy7iqypCCEot2Zw7Cam6WBbDnDuEcqg88ezWUiwHLFr1y40Tete2P3bv/0bf//3f88ll1zChz70oSVbHi27M0SW5bOKdNrtNg8//DCu63LddddRq9XmTSo8GyQ0jVl/MmgHG/zFstOz01GvFQyDUrtNSpJI+E2fi6HTw5MzTQqWxVHbxmw2iUoSGV0nGQiQUlWypoGkS2QUwGiBJHd7bRA6WA5ZTSFnOKjZlD//xEV2bRxJQZEEkixYF4lRbLdJ6SpS4XughcFoIU/cjyQEYnQ9bnoVtWazr66TDoVg5CJE6RQis9Yrhssy0VCIkhAMn2ERysbjjCaTHMrnueq663jPO96xoMgiHQ73y6BV1bO26VHHFet10r7IYd3mzazbvJlfeuMbOXL0KN+6/372/eAHnDh2zIsQNY2pEycgGu1TusUUhaSigGVRrlS6UudFazXt9unn7PjojWIW29/k7CxF//Vkx0GSJC8lZ1neT/+8/tVXKHz26zZtq4YuR1ClCG27ScuoIoSL4bZwZFBEAF0KgwDh++QZZgNXUgkrYSQljOu4WNaZ3a8XQu8AN3h2p9dY4uTQZ3Kr5Nve9jbe//73s3XrViYnJ7nlllt41atexde//nWazSZ33HHHkva77EjnbCKdUqnEww8/zNDQULd+U6/Xl6Z6A1bLMiWfdIZ0vc/Esjsnx39PqWAQybbP+B57pdSlZhPJddkQCmEGAiDLHLNtFEkimF5NefYkWddGuDYIz67fsz4xkHDBATuQQpO8r4YLyJJLvm0ghEzddkB2ONkoI0tx1gWSuCvWkQloKLovUNA13HCYyzIZNg0umCvXezcfruMQkyTWnWaAG3hqNiWZ5I/vuIN//spXuOblL6e4UF8TeI/3EMxkjy9aV6lmWQta4GQ3b2Z87Voyr389U1NTfOvuu/nenXeydu1aLl/TX3m69dZbOXD8OD977bVsf85zuuSw0ARR8CaVpoPB0xJPepG0accSp9hqeUakqsom333h4NQUOA75SoVivU6mRzE4lAwg3JY3wkCJ4joumhzGdR1Mt0XTKhBTVqIRQOB4pINAJULDLWKaFml5CyDh2C4/t2NpKZ7BSOdZnV5bhkKCiYkJtm/fDsDXv/51XvCCF/BP//RP3Hvvvbz2ta+9QDodnKmmc+zYMfbv38/GjRsZGxvrfmmWKkCoCoHiOIyrKkO+kGBDz8K3v1YDSWJLNOrVdwyDSdvmhBDkLKtLSl0bHCG6yrXO49mREf7n2DGEEGR89dpaX72WSWYoB0Lsb9ZI235qTbhgOyDLCOGSc+FAKMyY0caRLGzFExBkgmFcoYLlkFB0VKKkA2XSq7d1xzK4658DRhORnLOikcozyBMPItIrcTcsbXog+Go22yYTDvO7b3sbecNYnKQWIJTTEdpiGB8f5zWveQ07Lr+cDRs2DLyExb333kvDdfm7PXvgS19ibOVKbrzxRm78mZ9h3UUXzUtzjvkjLRYca91DRJPFYt/FSPc5kcicNLpn36lYDMtPKaajUfLlcp8b9RVb4N6HBS27jhAuNbtIRMQJS0PIsg6OwKSJJoUwRZ2AHKPu5EBSCGsxmkYNWZFwHZeff97SvLQWSq89WyOd5Ug6nRYS8NSgv/ALvwDAmjVryPdkB84Vy450Fkuvua7Lvn37mJ6e5sorr2SoZ/QxLJ10xnSdBxsNErbNlmjUIwxJYn+jwZCqUjJNNvQsPtlAgLKq0u7M1LEsCp2IptViQyzWVa6dCQJAktlw2fUU7voKQ7jkJRVJUSgqGlOqxrjjYKy8iKQWRpYlZGGT0XQsSceWXMBFkgSK5KJIDusO3I+7qox7kWdDIyIpiPRb30snD0G7gXTycRi/7Kzk0r344b33ctUVVxA6B+PA83EYWAzBARIrFAqsXbuWfVNTnlO1aXJkaoov/sM/8MV/+AdWr1nDz9x4IzfeeCMbOhJt5shlsFl0YnaWI7OzHjG5rkcu5+BX1d1/J8pRVY98Wi3WbXC5a5dHKrobJoKDRhDHdUEINCmCi8BwazTdkn8BIkhqq5BUC8c1EULCtp0lzz+6EOnMYTmSztVXX92VTX/ve9/js5/9LACHDx8+rwmuy+4MWYg8DMNg9+7duK7L9ddfv2D/zVL7e4ZUlQiwIRIh13GYFoKpRoOhVIrUQnUbybOY6XhxDWnaXA+HonCw2VyQdDqfK29Zc4Pg9u+CqX1MmgIhCyTZIS0sMq5FyjLIKBJmLErOFGQUmHUkCqaFLbs4sorA5YRpogQC1Jo1cigMneF7kEutYrheRKRWziOcfKOBEIJT7Tajrda88vRDDz7IRz/6UcbGx/nA7/++N6LBvwAomuai4oD0gNx4ISHB5Gmuvort9hknd46MjPA3f/M37Dt6lPt+8AMe+uEP2bNnTzdCOX7sGP/4r//KP/7rv/LJT36S5PAwR2q17oweoL9uEw57qbdYjHyjQSYcPmNE1MHgOZxvNJjM51k3NOR5uzkOpnEcVdERkmd94zgupl1DI4LA9fchYbsthOOgqkFMp05czXCy+RNGE5d4Q9+WCK8+OFeTeDbXdJYj6dxxxx388i//Mt/85jf5wAc+0M0MfOMb3+jO11kKliXp9JJHuVxm9+7dffWbxbZbSqSTVVVveJvvLN0ZY3BVMklW0yj446uzPV/GqWaTpk84fWICx/G20bQFPduOHj3Kw4cO0VQUYq5Ly2gyfmoPwzKAQtqxkTQNYbu4KiBLuKaB1GogSRr5tstQMIQtSTiyjCt7jgRSUCOtwHA6iBu7itnUim6TJfgLto8jrRZHDMHYpud582wGbGQykQjCdRkNhUiHQn2L8KHJST790Y9Cs8mRvXt56Ic/5KWvfOXcc/wGzoXQZ5cDnpBgML02aKvTC0XxhAf1OpOzs1TbbQr1OgHb7g576+C447Dmiiu4+ZWvpFgs8uMf/5j77ruPxx57DIRgRSzGcy69lIJPOJlQiN27d6OqKkOXXop0GreJQYJ5YGKi+3uxR2xQaDapmCZys9l1KliXycwNe6tUuHrDBg4esWlbZQy3RdjVPcm05GKIJk3KhESCmDQKAiyniSrHMN0GmhLCtRzsc5iWO4gLkc7yxrZt23j00UfnPf6JT3zivOYmLbszpDe9dvz4cfbt2zevfrMQlko6I5pGVJJIdaaHMje4DfwoRpK8NJphMKRpJHWdBsxTr3XqOkOa1kdSu6anyZsmU7rO1rExUpJErFxm9cP3o1omjizjCAfHtZAdB1mWsFttnKFhlI1bQIIRFWZsC1kEkLHBBZBAlqgaTRTXQQWOWg7rAy0UVUVRFCRJ6hMOpINBL8JYZHHJmybCdakBk40Gmn9ylisV3vvHf0xbVSEe57rrr+clr351X6f+ZKOBcGzMw5OoI6MoUS+lVjTNPrsc8IUEA/+vQbHBvOcDqCrJZJJqPu99BlUlrap9w9jSkYhHupZFOhbj51/8Yn7+xS+mXC5z//33I8syhYEBb3/7N3/DY3v2MJTN8oIXvICfufHGBXuIBrFuZMSbJtpsUrZtJvyR1uV6nWqtxjWXz/VKDZqm/sorU3zgjhk0KYotgeHUqDgniCmrEMIlJBLgOAgkdCmKjUHDKRAQqwgraYRwscwnjnSe1TWdZdqnsxAG09LnimVDOr2CAMdxeOyxxxat3yy2/VI928Ajl52VCuPhcLc3J2eaZAMBz7SzE33JMulAgP1neK2Ocq1YLJKbmmJ9MEg4m2VdJsNDjQatQIBcOIHaKIM/P2fWFWSMFnJA81RsqSGQJCRhI4RKsd3GlWRcVFxJwVVshASK4xCbPsZseAjRbnOyx/1ZkWVOaRqKoqBpGhUh0PBSR5r/uKqqqIqC6t+XFYUYdNVrpmnyhx/6EHl/ENTmzZv58G//NsFAAMlx+iIW9b/+L9b990IiydD7Pugd3wG7HABisfmP2faikRL0qNxsm4o/rC1wuucPRCWZeJwNa9cCdOfoJBMJCtPTPPb44xAIUKhW+ddvfIN//cY3iGezXHvttbz0Z3+WNZs39+2rU/8ptlpzkUw63Y10corCD06d6trgLOT3JisywhW0adIUZRRkFIII2/EuKvyAS8OTW1uygYJEQInSaBdwHZfff/vSfeQuRDpzWI7ptScLy+4MEUIwOTmJoihcd911Zz3l7nyNQg82m4yHQl6qrdVig/97zjf63DI83J2to2saDehrHM1qGjnD4GC1SioYJK2q2MUipWPH2HHxxRw9erT7/taFQrQrFRJIBC0TEMxKKkVFBVlBiUQpCImTrsxVhoWQZFzbQAaGVQVX9sYbuMiAjILDih0vYAVeg+RQMIjrONi2jeP/7PxutFq47TaGYdBqNrH8v9m2je04fdHHwccfp6hp/P3f/z2P7dkDQCqd5nd+53dotlqYpknLNDF84hKAMD2yFX6TLUssci+GfK1GJhbj8Hnup0tIqkokEuH3fvu3ued73+OBhx+mMzWnalnc+YMfcOcPfkAwm+V5F1/Ma17zGjK+nxy2zaaegmyvEEEIweqeSaL5SsVrEu2pS+XrdQzRRAhByE0gsAhJKd/2pokpmmgiABIYNEFAVM9Qbp5C4LI6egWb1537uO3e9zjYp3OBdM59u2cbltUZUqlUqFarxGIxduzYcU55x/MhnbgkUbFtrksmyRmG16sD7KxUuCoeZ3ygziBJEiNCdFNo++t1Cn76aEM8Tt40aZw6Rb5Q4LLLLiMajXLs2DEEXm+LrHnjp+1A2DdHk5ElibIjMTKUQk3GWanoBAIK4OCWipDMIMkqjzfbJANBXNdgSNMBF4V+AYUEKIqy8PwgP+20UBe+EALXcbBsmx/u2kUwneY73/oWDzzyCIRCaJrGr77znVQsi8LRozi2zbFqlWH/ONSA9Og4IUmFFaMce+wxZEXhVL3OeDqN5qf8FEWh5rqYwWA3spIkyZuls5AsebE6zyIo1mqkzyDH7hUEhMJhnnPjjTznxhtpNps89NBD/Oi++9j16KPY9To4Du1cjruOHeN/v+51nootFlu09wc88UTvgp5JJEBRKNZqHJmZYWzFCtLRKL/2qhG+8NUibVH37G/8KaCqHMIUTaruNHFFRhIyGkGCWpxTrUfJhjcuSTjTiwvptTlcIJ2zx7IinWazSSgUYnR09JwLXUtVr8myTAI4aJr9ljdCkNB1kGVK/rydriJNkojJMvtrNYZ03avh+IvcjGFw3+Qk467Lpi1biPYsmGld79JD0bLIrdzEqrqn2FJch42mjSQrZGUJVAmEQ9ayEZEQbqtMNplh1nZISw45B0rCAEdwIrWSgP/ei5bVrbFkFlhAiu025Wp1wcW9+9H9z/jQY4/xzR7fpg/+wR94rs89yDcaDIXDOLbNTKNBUlGwnW3YloXjE5gqy4QkCdcwMB0Hx7IomCZG5/8lSWiqimHb5Nptj5xUFU1VKRsGhUKBqutSDwY5WiyyYWSESrtNvtHofu5B9Eq08wsYrhYNg3Q0ymSp1D0WmXAYwmHWvvSlvOqlL+X47CwTe/Zwzz338KPdu9m2dSvrfBPTTnrui1/6EsVikZf+zM+w7rLLuoP7hBCkOqIBX6zRVa+Fw14dqFolOzw3NrpDOAKBKVq0pCpBOQG4aEQwMLvHSwgX5wxqvjNh0JHgWZ9eW0pN5wLp/HRjdHR0SVY2sPRIByAFbIlEvBEGiuL9VFWuSyQ8QYE/gA1JIqtpFC2LquOwiv5x1pZlMXPgACuAG7Zupew3kAJUgJph4Ng2Q9EokhBcnJ8gFNJxDMNbSDSJXK2CG1C8KaGaBIo/3iAQwLFtZAGycBiWBAgJSbLRQqG5EdSOw2Q+TzIS8eoNAyi7LslolKJt93Xa946wFkKQUFUef+QRACKKwlt++ZfmEU732AOqqhIIBoksEGEE6vV5Ds35dpshXcdxXWzLwnYcZisVErqO7Thd0gpJEo5pYrZaVGs1nHqdE76X2b6DB9FkGVnT0BQFRVWpWxZ7CgVyw8OoqoqsKKiyTDYc9sQVqspwPO7Vj/wUamYBCX6+ViMYCvHCF76QF77whZwoFpEHRA7jw8P88Z13Umk2+cH3v4+eSHD1pZdy/Q03EB8aIhIIeFLrzmcXgkwk0o2QOik+wzlK1T1JTKxASB7hAATdGGHSSJKEJZogQduuEVTiCFfwh79+5lrn6XAh0ll+eM973nPWz11oqujZYFmRDpy/IGDwi3QmyLLMENBQVUq2Tck0qdg2W3rECxtCIc9N2jQpmCZN1/XGIfRIa1utFvv27SMSjbJuxQrKjuM5GPgLleRfzSZDIW/hd1o0hEVIUZB0FQlwhUCSJZxa3ZPtOkBAQ6he5CK7FpJQkB2bnO01EbL6UkrtdrdnqGvVv5h1i2mS0TRvMfSJJm+a5Hsk1kIIKkLws7/0S6xLJdnx+ATagf0ceeABIr6tRgdF0+wW0icH5NcLPaeDyVoNetNmioIdCCAiERRgMM4tV6usjMUINhqkQiF+8sgjXHPxxUiyPFez8utSMrBC1737luVFYcUiruNQabeRZJnZep01Q0M0XJd0IICqqmTjcVSfmCqtFiuSSVrNJqqqogcCZFP9TbZGtYqpqt3I0lRVfvTjH/OjnTtRdJ1Lxsd55ctexvXXXUe4E/VUq/MEDroURpXDWKKN4TbRCKO6OiZ1hGe8hiW1sESTkIhh2A2CIsElG89vtPQFIcEcXCTcJUQtS9nmycTu3bv77u/atQvbttnsC2EmJiZQFOXCELdenM8QNzh30ulsM6Tr4Ec4O6vVPosb6HGfjsWYsm0KQMlxyBkGQdNk3759DA8PMzY2xoFGg4PVKvgpnmwwyKyqktJ10tEoh9ptkmoAXMGx2RK4Lno6gRSOUrJcVsgO2BbIKjnTAiEhHAsUmLQsiqbNpkgQ4ViISATJshZMpZ0tMgs0siYkiVAwyE2vfBUnPvxB77FCjuQZBrkttK8nVL3m2+4kFIVAIIC+QGTV0DQ2+PY2vRCui+04zJRKrHccksEgs/U6cUUhV62Sr9WwbBvXcZjK5xmNRoloGq7rUrEsUrpOw3WRFYWmbZOKRrn1ttuYOXSIBx58kAcefZRmqwW2jVOt8mg+z6M/+QmqrvPJT32KtWNj895Tvl6nLpWxhUlMDGOKOsK1sLDpXc9s2URSJSynhUaIIXXDvH2dKxYSEjxbI53lUtP57ne/2/3905/+NLFYjC9+8Yuk/AumUqnEm970Jm644YYlv8ayI50nItJZ6utNNZsMxeOeig1PnZbVdb6dz3NVPN7N/Wc1jVkgrqoczucpHT/O6lWriGSz3YhhQzzel3obJEInECYSiBExjgCgmW0kE/JC5TvBMOsklSmhMS5chlyXYRmEJJMNa+QcgWwb2KJ/vwJw63XEWYzSXgjCdSmVy30jvrXhYbJvfgvW7AzWjmu79YkOej3JiqbZ15TafU6hsHBPzkBNYjKXA84sHFhqGlWSZTRZJui7DADYuk4mFGJkYDRByn8v4B2XfLGIHokwFAh4zuTlMolQCNu2yW7dypaLL+amapXpgwf50a5d7Hv4YRr1OlgWwWCQaqXC/9x/P4oQrB0ZoZjPk0wmiScSXHyRy+MHhjwDUCIIyaXqHkeVwlhSC9kfozwkr6diH0OTw/zB2zNLOga9GHQkeDZHOsuxT+dTn/oUd955Z5dwAFKpFLfeeis33XQTv/3bv72k/S6bM6R3ns5SFpXOl2eppJPVNGquS1bXKVhWd0T1/mbTq+Xoend8dWcbp1SidOwY68bHcWIxCrbtRUyyPNdo2kM8ve+sLFxW64KZNWsQpokSj2PPzpB2TdJthxVygLQkyDqCnBIiZ0sgC4TtUnQFuDbOxTcg9RTSC1/9CtXvfw/r2uuRXv3qRVNsAJMLjK3+8pe/zH//93/zvt/7PQzbZrZaZSQSgc1bYPMWsgtNzvTrFAAYxsKRDsyfutlu90U6+XqdddlsdzDcIDq2OZO5HMJ1qRgGhWYTzSe5Donk/aFsZ4N8q+Udh0FC9G17ehV+Q7EYmVCIfK3G4zMzrPOl0iM9r5VsNtmyfj03vuQltMplHnn0Ufbv20c4GmV8/XpKx45xSTZLvlrla1/5Cgf37eOSLVtYe9llqNyEQCCEF+WrShgbEwQERBhdCoIraIkKIZFkKF5lerqFqqpomta9qap61pH+hZrOHARLi1qWbkL05KNarZLruXjqIJfLURtojj4XLBvS6eBchrgNbgec87YdArkiFuPrs7PcV61yXTzO/kbDS6eFw5Rsm/tqNVI+sUUAx3XZf+IEV23aRFvT2DKwqB60ba/z39+m93ROqyr3lWZYoYeQkwrDsgABbiqB02hSVDVcy8Qx6ziqTFYCdA3JFqA4SA4kXYvKZ26lMr6R6Re+HCIRTk1NYYbCaEem2F0oMNazIKb9xaRoWWBZrEsm+xbV73z72/zLl74EwEfe+15+7/d/n7WJxDmPaD4fdCKcBSMdVQXLYsdFFyGARCBAJhJB69Sl/C/RZC5HMh6nuMCXquOxVjSMuYbOZHI+OTvOooPdOuSWicXI12rd1wXmVIPxOCfqdUbWreOaG2/s/vnS1avZtGIFKyoVHt+7F1SVxx5/nMeOHmX7VTd1n9eUSrTlOjEnC0Jg0yYoJ2i4OVSho7khSqUSlmVh2zaWZWFZVveCayEiWuj3VquF67q0Wi10XV9SpCOE4IMf/CCf+9znKJfLPPe5z+Wzn/3sacchf+hDH+LDH/5w32ObN29m//795/TaTySWY6Tzyle+kje96U186lOfYseOHQDcf//9/O7v/i6vetWrlrzfZUc6ZzvEbRBLTa/1vt6NqRQHWy1ylsVUq8WQv8BcF4+zv9lkSNPIt9s8NDUFrsuGTZsYT6e7EVAH3VqQ78WWsyymbJtIu02h0UBRVS6mSVb3RAJCuGBbSLE4GG3Pjdg0vWFuCHBssPzJbq6LcATHSxYx18WemiRpW+A4pF/xCur3P0Dk6qtZOTTUXUx7RQJl0yTtLywT1SrpYJB9+/bxsc9+FvxGxl/61V/FjUS86ahPM/L+sZ2s1UhKEqje5MyK45Bvt9E6Fxn+MU8mEpRtm3XxeB+Z5Gs1sG2KjQbler3bx1Nst08bEc57P71zgAYiqv8+cABMk7FsFqPV8rzregQEHbiOw2tvuYV77rmHad89wnTr3pW2v4bF3GE0EUSSJerUMGkhA0GS/MunryeZ6K9leYahTh8J9f5uWRatVqvvMcMwcByHj370o/zFX/wFruty0003sWLFCjZu3MiX/IuQ0+HjH/84f/7nf84Xv/hFLrroIv7wD/+Ql7zkJezdu/e0diuXXnopd911V/f+szWt92Tir//6r/md3/kdfumXfgnLz4ioqsqb3/xmPvGJTyx5v8vuP/VU13R6t+mdHlpbIGJKAndPTBCWJDRZJtCzWOUMoy+VBp744GCtxoZolIQksUbXyUYilIRglxxE4JK2mkiNGtlIEOvUKUSrRUpqUNCCoAjPRdi0KQjZi+Ulz2L/+MbLWdlqsmrtRdQTSS+tdfEl3o3+7vjBlFdXdGDbWMUiH//DP8Tx022veMUr+JVXvpKHHnqIWdtmolxedIgZ+JFThxjqdVggMlpQvTaQQisaxuKjpYNBLwXmz+QRQpDwDUC1wXSeZXmpscHZPT0EsamnflNst/uIZHJ6mmQ0etpRDJlYbMHen0QwyLrRUTLxOI8eOEDZMLoOCsVmsxtppdNp3vGOd/D2d7yD//7xj/nhzp2cOGUgBIRFEnC75GNJLdpKHUmoaG4ATQrNIxzwzn9VVVFV9ay9tY4ePUqlUuF973sfv/zLv8yOHTu47bbbzlrMI4Tgjjvu4A/+4A94xSteAcCXvvQlVqxYwTe/+U1e+9rXLrqtqqrz6mhPJ5aLkKAX4XCYv/qrv+ITn/gEh3wLq/Xr1xM5z+zFsiSd81WvnQt6I53XrVjBX504QcE02RqNcrDd7vbmmIbBf+7dy9pQiNWrVnF8716vadRPoRV8nzbwCKhgWQwFAgzpOtlAgHzPgprRNK4IKkg2ZAsnycsqOcvAlhTQvH3sFApjpg24SAEJWbLIyi4CG9e22bh2jMwmTwZZX2RaZ77VOu1VfLPV4g/e9z4qPuFcdfXV/Oa73+0dS0liezJJQFEWHLbWFRTYdlcQkJTlBccPlOt10gPkMPjcdCBwWuXagngCLHY6LtN9+xSij4iK7TblTvNtj9faYAqu2DOBNBUO4/gy9nytxpHZ2X7LnHqdYr3O+Pg4V27bxoc/egyBoMoJQviFXwlsySCujIDrYokWm9cu3fZmEK7rIssy0WiUiy66CIAXvvCFZz1r5fDhw0xPT/OiF72o+1gikeCaa67hvvvuOy3pPP7446xcuZJgMMh1113H7bffzlrfF+/pwHJMr3UQiUS64qDzJRxYZqQjSRKy33ex1O3PJ9IBSKkqj9br/D/Dw15dB5iqVDh48CDJeJzrNm/mpJ8qWR8KeaMR8KKa/T3KrqFAwEuttdvkDMN7bz2vaWoRQqXDSEDWtclJKtLoasSxw0gI4rbDES3AkN1CFuAKiVkbhHDghb8Etk3+dKMEwuF5Q8kA2kdP8dhHPkNgdJi/pMDU9DSEQoyuXMlvvv/9lH0Cq9g2wXablmEsPjHT/5nvNH+q6sJCgoVGFgyMNpiYmTktiRQNg3KlAn6/U8UwyPsu2F0RgR9VLBSFnA3yzSbFdnve7J90NAq1GsWO+MK2zzzMreNy4DsPXLF+vfcZobv/dDhMJpHoUwSGpBQIaEkVbKmNLCtoBGmKIkgSX/rwy5b02RZ+i3NCgs537lyEBNPT0wDzSGrFihXdvy2Ea665hn/4h39g8+bNnDp1ig9/+MPccMMN7Nmzh9iTMOzvbCCApZgKPZOFBK7rcuutt/KpT32Kup9ZiMVi/PZv/zYf+MAH+pSL54JlRTpwfs4CS+nxGawhbQmHebReJ2dZDOk65VKJhycncTIZgpkMedNEkiQq/uKXs21wHIZUlYONBtel0+Qsi4OdhU9Ruo2bHQjXQZUERUdwSI+xXlg4ySwZTUFSvCvtpF1jwtJJuwaKqyNp3kRT17YoAaie6zSWxeTAIttZ+Iut1jzCmPrRQ1i5AuQKHNdr0GoRjcX41B//Mat7Fo+EqpIOBgkMqLieLKSj0dOLFhSFtKaRicVwHacrJKj0pMc6kuvOcemgQ0oTHSVPT6qvV71WbDS8oW2LfV7L6pJIb40mE48zMT09TzVXNgwijQbFVotyu+25UEej5KtVzx8uGu0jHIsmlmxgSxaqrYMEYSmNLdpYmITls59aejboJZ3enP9i+PKXv8zb3va27v3//M//XNLr/tzP/Vz3923btnHNNdcwNjbG1772Nd785jcvaZ/ni+UY6XzgAx/gC1/4Ah/72Md47nOfC8APf/hDPvShD9Fut7ntttuWtN9lSTpLNTJcCmENbnNFLMZ91SoFy0KUy/z4yBGee9FFbFqxgv2tFgXbJu6rlLKaxoQ/1rq3ntMREnREBAXbpgy0HIdyo8GQqpAzXTKJDEPlabKyhoODG4hBIgXlApKsgCSTa0HWtJB9Ka1rO301mYymUZSkLrEVLas7tK3sOF3RQAfi2u3I9+7k0RNHmWlVkGIxbr31VlavWXNOx+2pRrHRmJeiAz+S8D9vMpEATaPcaHQ/d7HR6A55O1IocMXq1XPuDdFovw2Ob+Q5iMGIcTDKyVerHMnnSYdCXRIpttvegu66pMNhr87UiQ7jcYr1OkgSxWqVTaOjWFIbSzLQCKG5ITQ5RJ0TWLRouWVUV+NvPvScpR6+BdHbp9NJBZ4u0rn55pu55ppruvcN/7jOzMwwOjrafXxmZobtA84Vp0MymWTTpk0cPHjwXN7+E4rlWNP54he/yOc//3luvvnm7mPbtm1j1apVvOMd77hAOh2cT6TzRKTXAJKqyoETJ7BLJcbGx7vNVUP+lFHbcTgF/LhUYmMs1k2xZQOBeYKCrKaB67LHMFjvP89s1mi1q+iSSy6cwrENEqE4geIMkmvjBAIowJDl4gLCsnBdB+G6VF/5tu6gs8lq1SMYWV7Q/iavqt5C2vPYxeNryPz1beTuvBPlL/+SX37zm1l72WV9CjeAihC0Wy1W6PrcKO5F0BETLCok6BEbdLCgkOA0r3PE753Jt9uenc2Aei3jD6fLBIOQSHTTjn3D3YLBvjRfvl73jp+/4E7OzCwuIFjAWLRvpo4/srxYr5MOhxGO002jZWKxeb1H6ViMTCzGZC7HxMmTWLQ8oQBBL9oRLcJyhhqzBEUMZMH28fFFj89ScK6RTiwW60t/CSEYGRnh7rvv7pJMtVrl/vvv5+1vf/tZv496vc6hQ4d4/etfv4RPcQGLoVgssmXLlnmPb9myhWLPzK1zxbIinU5N56kkncHXc12X6rFjVOt11oyPEwiFKNh212E6Gwhwby7HKJDSNE9s4C9w2YEv7H4/CgJYq+ukVJWRSISG0SKkQFYInGCAkiUjzBaKbYOsItQAQ7aN4spMBsJIRstXrilo+lzBPRMMevWLRXKzi9V1AF590008d+tWtGRywTpMUpYZDYUWFRLAnJigXKuR1rTFhQS12nkLCcZ6FGmu45BQFLKhEKp/ZZ4/Q7PbQg2nmWi0S9j5Wo11K1YsPK6g839V1flRTzgMtu2lB8PhbjRzAnjk2DE2quo8IpuYmZlLrakq6UgEW7QIkQS80pYkAbJEp9rwu2974ovsC9V0zkW6LEkS7373u7n11lvZuHFjVzK9cuVKfvEXf7H7vJ/92Z/lla98Je9617sA+J3f+R1e/vKXMzY2xsmTJ/ngBz+Ioii87nWve+I+3DliOabXLr/8cj7zmc/w53/+532Pf+Yzn+Hynom254plRTrw1KfXYC7SsSyL3bt3s822iWzcSE0INgSDnkjA79PZ32iQ1jQkSSKlKEi+m0HOssjZNgXb5mCzyQa/LtCJeg7jXfGvEAIhqxRTGwjaVUYqJ1GEJ4POaCo5EabkNCjqEaY0hbXUKGsKaeEwLGykJY6aXciTbnR0lIlFrngqtk2g3aZlmp7cdwEVXG8NJhOJnJsjwaCQYHr6tOMWjpRK3d4a13GomCb5RoORZHLuNc5gnzP493kE0hEk9NTIirUae2ZmWB2JkAyH+xRowKIzdZLhMLIkkY7FugKCvtfqPR6OQ0hKYUueWrItVdEIABK4Alsy2dSTvnqi0JtesyyrO978XPDe976XRqPBr/3ar1Eul3ne857Ht7/97T7Z9qFDh8jn8937x48f53Wvex2FQoFsNsvznvc8fvzjH5NdwC/vqcJyTK99/OMf52Uvexl33XUX1113HQD33Xcfx44d41vf+taS97vsSOfpiHTAm+Wza9cuQqEQV155JQ/PzFDxSWRI1z2HactiyjB4cSLBnXgjrsv+HJ6OUm1IVSmZJigKpZ6/pVWVKiCaFcJWiZCQOaHECSuz4Nocsl0IRGgn4mw+NQGuQ9pxGJJscrIMikZp0+WI/DFEoqfPxLYp2/aii32x3ca2bT760Y/y/BtuYNvznjcvGllIVp1QVVKBAFuHhz1H6idZTJCORk9LGmOG0f27Y9skfALqRDCT+fycIMAwup9xsX3mWy0mKxXWJRLkWy0vzdZzld/5vJ2fm4aHve388dMwV9vJxOPzPOmK9Tp112VUlikbBkldp1ivU67V2LHBM+vs3UYjjCW1qSs5Qv5Ig6ZbRCXA771twxOeWoP5kc5SGjQlSeIjH/kIH/nIRxZ9ztTUVN/9r3zlK+f8Ok82XOHdlrLdMxUveMELmJiY4C//8i+7bg+vetWreMc73sHKlSuXvN9lRzpPtXqt86W7//77GR4e5uKLL0aWZd6xahV/deLE3NW3/3M8FCJv29R8CfSQqnoO1H5dINu5wnOcuZHXlkVZCKpAvtUgAyi2yYwEWmQlkfoM64GsDG67hCSrCMVBkgRyQEcWnidd1jGhMo2TmSv6ZzSN/87lmFjkilsoCp/54hd5+JFHePiHP+R/v/Od/Nott+A260iaTiadPmM/z5ONfL1+ztNBwSOU7kIpxFway1ftFf2aTbnZpNJqMdYzriIdiXQtcPLVapdU5r23gePaGT8NMHHyJOVO2s6vR3VTjqZJJh6fEw+Ew14K0HHmUoGyDI5DsdHAVgwkJDShY4uW16MjGyQjUrep9IlG7xC3Z7PDNCzPSAdg5cqVSxYMLIZlSTpPZXqtU1Bbs2YN69evn5deKNk2JdtmQ6crXpYZUhRiksREs4mqaUw1GgzF413CyQaD3Tk6HSVbVZapui4PGiorkbDkGC0sxkUNwmEkQ3giBEkgggEk4YIDeUVh2LWZRcENhCGW7aq1uuh04S9AHF/72tf4/n/8BygKytAQ8Ysv5uTEXhr//g2kUIjE63/dk2AvICRotdus7llknw7k223PusYXDoAX6VQch0K7jaKqnhIMuo4Gk5UKO1asmLMBGhgil/dHUBfbbbBtJmdnQZIWFREsZiCajkZJJxIUm02OFIuM+ccqHQqR0HXSC6RCN/lXmPlajcmZGZKhEOlYDE3UsCUDlSAaAYryEVRX5+2v38iLtm5dwpE7MwaFBM9mK5rlWNMBKJfLfOELX2Dfvn2AZz/0q7/6qyTO43u97M6Sp1K9dvz4cfbu3QvA+Pj4PMLZEAp5KbV2m4PtNhsCAQqmidA0EkJQNgxv2JiqUnAc6JnBkw0G2d9ZDB3HG9wmSVyUSlCow7Aa4KhZIed4xWIzkKZpzQKCLDLoOsOWRQ6NnKNwKLkSHIFo1CA+0ld0vyKTmdcLBHDfj37EZz7zGQiFoFrl9/7wD7ny4ouJ3P99AkYLjBYJo4kUTcxLzyUkiYCqkjcMT33WQ0qDE0mPlEqMWRZHGg3GFiC+I6USYwMD0I7U64z5qasjpRJj/v7TC6Tx0rruNVL6KTXHtrs2OIpvBNpHGGf4QnWjKkUB2+46Rg+KEQZJqLcG1DEUTUejpEMhNvkGl/lajcnpaZSB87B33/lmExSF45UKSV9RJ0myp2ATAVBkEILfe/vipplPBAbTa8/mSGc54qGHHuIlL3kJoVCoa/j56U9/mttuu40777yTK6+8ckn7vUA6S9hWCMGhQ4eYmppi+/bt7Nq1a8Htbkqn+eeZGRKK4smJOo7RkkQF2BYOo3dGGfiS4M546o5U+mCtxoZwmLRvVJnSA5Ro4gjQ5RiGHmREnEBCoASDHGq2QAtQFDIoClOSxrhqs2PNReQL02Syqzy1nGsj5Y+BGoBohmJHLuxjcnKSD334w9204P964xu56aabyJsmwec8F9c0UVJpytEEk6US9BTkAaqOQ9ZxPMKs17su1QCbBhb1tKaRCYc9g8sFaktpXZ9XE0qHQl0SSev63EiDBdRvk/k8yVisK1u2e4QEK85AMAup1gaxUIQzkcux+/hxxjIZjszOMhaLdRVq3puw54QHA/WcdSMjTE1NUWo2afhKtWKzSToWmyMuIbhsdJR0OEy+WkVCwpYtNEJYos2rfjZAudnk5Vdcccb3v1RciHTmIMRpdSyn3e6Zit/6rd/i5ptv5nOf+1z3f2vbNm95y1t497vfzfe///0l7XfZnSVPdnrNdV0ee+wxCoUC11xzDWF/ETnddhXHYVzXyWoaBdPknlIJIUkMqSo1b6ednXu9OpblRTmyTMV1PbLyPb2MdptVIUHBLBGSgiA8fawQgrwLRUeQliU26woogjTgyjr5yBBFNQqBAFgWUukUUvEUAJlwnCJ0bXFKpRLvf//7afkL3LXPfS7XvuxlXsHcsrw01PU/0/18O0ZH51nqJFSVVKc7X4inxJXgtHWdHum2bdskeohqMp/vs9ApGkZf5LeY00HRH18xaEYKfgQTDHpOCJGIR4Z+PabYaCwYkXVfLxajEonQkiSOlMscyeVIhEJ9RqMTp0550Vs8zrs+8hgVZRZV0tGdEBYtouk0yXCY0YGLgScSg82hz+ZIZ7mMq+7FQw891Ec44Eni3/ve93L11Vcveb9LM895huJ8hrh1tj/dtrZts3PnTqrVKtdeey2xWOyMRqGvW7GChKpSsiz2t1psiUSIyTKSLHsWOP6XdshfEPdXq+A4bIlG2RKNsloLcLBkUHRliq5L0fGu5CWgLRrknTwzrkLeskkHQzwnGsaVNYSqgR4ALUBm28+S8RVwnrRaYygSJyMBikYembIQ7C6VeKxU4j0f/zjTQsDICGPXXcdH3vte1vtF83QwSGbgdiZkIpFF+32eChQHGks76Pzvdlx0EZmO+k1RvMXcJ5rdJ08yUSj03fKtFvlWiyO+FU0mFJp3641kMqEQGb+ZMxOLUfYjm8F5OhOzsyDL5BuNriPBFWvWcMXatawbHu4+tyNOyMTj5Ot1LNn7fEnXcyZ46+uHQAhu8OfaP1m4EOnMoVPTWcrtXPGXf/mXjI+PEwwGueaaa3jggQcWfe7nPvc5brjhBlKpFKlUihe96EWnfX4v4vE4R48enff4sWPHzsvjblmRDpyfZPp06rV2u839998PeIaDnT6Cs3Gn3uDXKaZaLXKm6Y2uBoZ8xVKnN6fgOJQsa07BBtRrAQo1CGrDpCQJVQuxp+ZSdF2Otg0OWxLpQJBEIIItaTh6CKFqnnBA0XFUL13lug5x18L1SSuvBJldvRV39aWATFKWGQuH+c+//VsO/fCHMD3NkG3zB+95D3VFAU1jolZjstUib1nzbkX/5zMNnfRYJ8rJt9vkDaPrSFA0DO8x/zZZrXou0a0WxVaLsXSaTZlM3w0/bYgvrT5TY2nf+6lWvQmn8XjX/273yZM84MuCM77dTSoQYCgUolireSq2HlPSyXzeIyf/s2kiSEIewZJatJQKlXabsWz2SY1y4EJNpxed9NpSbueCr371q7znPe/hgx/8ILt27eLyyy/nJS95CbOzsws+/5577uF1r3sd3/3ud7nvvvtYs2YNN910EydOnDjja91yyy28+c1v5qtf/SrHjh3j2LFjfOUrX+Etb3nLeTXiLrtLkycjvVar1di5cydDQ0NceumlC7qrno50bkqnKczMkNI0dtbrXNUxkGy12B4Ok9U0vp3Lcdww2BoO91nhpBSNPAZl20C3bbQWJPUAKTVGowl2cJaTroojBQjITQKuxXBAp2jJuIqM7V9JnczP4jgWZdtlqtliXSxGJtJztaIoZDSN61/6Uu790Y9oNhp87Pbb2dw7s8SySCvKwj09HRt+n3gqQtBstQgGgxRbLY6Uy1111iDK7TZF0/SEBAuknRbatve5R4rFrpCgF+lwmKJp9inXwIsqO0IC2XX7ozUh5u47zoIpu44tzRXj413JdN8og3p9wWbMrgt1NNqN/NKRCOlIhMmTJ736TEf+LQSHCwWGemTaKArFWo39MzNc60dn+VqN//etaay2zuHCcYaTIyQjkb5U3JOFC5HOHM5XMt1oNFD8i9DTjQ/49Kc/zVvf+lbe9KY3Ad6gtf/8z//k7/7u73j/+98/7/lf/vKX++5//vOf51/+5V+4++67ecMb3nDa9/bJT34SSZJ4wxve0Oci/va3v52PfexjZ/8hB7DszpInujm0UCiwe/duxsfHF5REn21Kb0jTONhqkVBVCrZNooe4cobBVfG410jq132QZRwXyk2NIEGOtqbJ4rBWCqIq3sI+HhXMuippTUcSNpqrUHFVZgWUZYmDloOrqOwpFhkBLtI1hsMBGoHwommxLZs387d/+7ccmZpi8wK+S70YHAEwmc+zzr+6lny1HbZNWtNIZ7OnrevkG41zExL0qNHSur5g3SXvN1MmOzWVzuOGQcU0eeDIEU8qvoQ+lt4RBoMGnsV6vetIfaRS4QqfgIr1uvcZez5LvtEAx2HdihVzI6zrdUqtlpfq6xUP+J/757dt61cbKgpayCIQVECWKTebbH8KZsv0ko7jON1F8wLOHb3NloutJaZpsnPnTn7v936v+5gsy7zoRS/ivvvuO6vXaTabWJbVnY9zOui6zp/92Z9x++239w1xC59nfXZZkc4TXdM5efIkjz32GBdffDGrV68+6+0WQifamWq3SWkaElByXe4rl9kQCpENBCjYNgXLYksk4s/QkTnpNjlhG1wRCqGZdTIxl30nQ8TDFjHdIOpGyJtNMpqMQMZBARySagAbm63rt5K3LIQQNB0bSVEpGYa3APqLdmYgLaIkEuzw3YD7iEWS2J3LeUosf5vB3p7O/T4hAfMtY54oDPbQ9L2XDpkMWOZYlkVC1xnLZBgeMNPsiAgmcznWLWKr0vv8QeIt1uukfeLNhEJdEUFHdLBYL0+3/uOTzPFajYrrsnF8vH9ktX+xkonH+e89exgbHqbcarEunfYEKbLMa57zxLpJL4YL6bU5PBWOBPl8HsdxFpw/1HEMOBPe9773sXLlyr7BeWdCOBxm6xPY67WsSAeW5irQQYc8hBBMTk5y+PBhrrjiCjKZzFltdya8IJlkanqakmWRq6cQEyFC421Smico2BKJsL/RIOeniiZrVa5dHcGwoxyePUZDCKaMOoYapSY5BBwFF5sZR2GqWWNdSEWVFDKBIBJgWg55wwBZ9iTYPSMT8u02GU1jYmaGr919N1e97GUU/QXtSK3GWM/V/6aehfKKoaFuKu5MGDwm+WbzKVGxnS06C2ZfpOOn3TqYKBQW3LZs26QZcOWu1TyhRaep1CfaXqLpTcNlYjGKjQabstn+Hp5Gg6iuc8mKFZ7ibdAtQggmZmdJRCLguqxLpynW6+w5cYLnP8nigV70OhI829NrLFEUQCf9ffIk8TMN9jtPfOxjH+MrX/kK99xzz1mPJH8ysOzOkvO1wXEch7179zI7O8uOHTvO6kQ429dcGQgwHgxyqNnm/nacRMXmMj3CUMZb7HOWN2jtYKPBhkiEDf5iOBrTKBdkwqpKrhFGll0QcMgwAIkZx2V7OEFSEyjCxBFe6iWmSItOM8wEg/zgxAn+7vbbOXTwIPuOHOHX3vIWtmaz3VkymWCwKxTooGjbHKnXuWKB+kzRf17fQmxZZPw+nKdawdapjww6MOTbbY6328QNA2lgoZysVr2oBC+VlQ6H+z9Pvc5kLuf1/fgigl5SGUzVdRyooZ98JnI5vnXgAKPR6FyarkPIrks5GPQILB5n4tQpyo0G60ZHvdcOhbrvbdI3Az1SKrE6neZFl156PofsnHAh0pnD+fbpRCKRM46CzmQyKIrCzIAB7MzMDCNnqOF98pOf5GMf+xh33XUX27ZtO/c3+gRi2ZHO+dR0hBAcP34cSZK49tprCZ2ln9i5EN3rVqzgn6anSSptKrpg1VDIS5n4PTo7/avaTn0H16XeglpbY7aawCBCOZxnpR4hLGkMB3VUx6XomFQcm4wuI/tvJa5qDAeDTNTrZFS1b/EVQvAv//iPXq620WB61y46nzYTCnXTRoMRTUbTvDTRYgahfi3imG2jGgb7DYMx/6rqdGKCI+UyqOrCQoJSibEBJVZHSLDQ37rP8QUGHfeC7uIeCBCTZTal0/NdkYXwBASnWQB2XHRRn99cp/ems/1gCq1T/xkk3WvHxrxenp7IvEOUh4SY6x2SZZLRqJfyy2S647vz9TqVVotkJEIiGFw0Hfhk4Ykw/FwueCr6dHRd56qrruLuu+/ujn5wXZe77767O/ZhIXz84x/ntttu4zvf+c559dc8UViWZ8lS0muGYVAqlVBVleuvv/6crtrONbq6OBJhfXo/4eEVDGVdCrbLkCx7ggJ/RguuS8GyaLcF39lloTvDKDJoionaipMLu2zOhnFwiEo6qqSi0MZxHFK6TsF2kGNxJhoNjrRa7KnVuCwSYZN/Jf75z3+eXd/6FkQiBMNhPvaxj5EYWLwHGz47KBvGvFpG92/+6IY1msaGWIyVqtolrrSmLWoMmlZVL7W1kJDAj5T6HvMdCRYSGfRtF416jZiW1RUT5C2LU80m+Uajj3QykYjX+b/Y/J9F3Al66zETs7PdyatHqlWv/rXQyG7X9fzaOjWvep0HJidJhsNeU7BhUGy1KPlXtZtGRpiYmaFYrZKOxXjgyBFwXRLhsFfTyWZ50SWXLPj+nixciHSeerznPe/hjW98I1dffTU7duzgjjvuoNFodNVsb3jDG1i1ahW33347AH/yJ3/CH/3RH/FP//RPjI+PMz09DUA0GiX6JBnBngnLjnSWkl6r1+vs3LkTVVVZtWrVOX95zvU1r4jF+KYEQvZcpnfW6xAMMtVodOXUyLLnWCCDbZvUpRqG7LLKToCiEAwIipbJkKQRkwNUXZOUGqJqt7BdFct2vVHHqsqmbJaJep20rpO3bb53zz186d/+zfMYi0R462/8Bomxsb78QCfaWYhckh0BwkIE4u/jXOeqPNnoTXudKpcZ9VVrnfeZr9fJNxocKRZJj472WdP0zf2JRudGGfgo1uueDLrV8iZ6hkLkm03KzaY3gC4U6nPCztfrFFutea4ESf9/v/v4ceKahuSPqu6bHNo5rkKwLpNh99GjJMLhp5xwvLfQP0/n2RzpPFU2OLfccgu5XI4/+qM/Ynp6mu3bt/Ptb3+7Ky44evRoX0vHZz/7WUzT5NWvfnXffj74wQ/yoQ996Nzf8BOAZXeW9DZrns3CVyqV2LVrF2vWrKE96L58Dq95rkT3s7LM/+c4HGy1WOeEmC2YjKe8KaMBS+Vb9xlkVZUbrpdJyyrHzTYJESQmqUTiAhSNgmVTsptsCEVwgZzpoMoKO6t1Loum+hRb6UAAbJtTBw/yV7ff3vUhe+f//t/8zFVXAbC7UmGsZ5uyYZAMBOar3BRlQYNQOP20UeApG4NwpnEHicG0oU8aY0NDnoOCfy4Um02KhsGRQoGxoSGKxSJly2JdPN6t1/SKBzooNhqsGxqaIxpfCt0hqHQ4DJLUJfViqzXnzSYEh/N5hlKpbhTVTd/JMruPHWMsnabYaFBrt3nx00A4cCHS6cVT6TL9rne9a9F02j333NN3f3AW0TMBy450Oizvuu4Z+wamp6d59NFH2bJlC2vWrGHPnj1LqgcthXQkSeLl8Tj/Vm7z6A/aVLU2v3p1hh3jYT63s8CRsuBxvc1FuShmuEa2kqQWqrN9u0ShlEQGZEkhT43DRoNZt01SgbWBEKMBhVnDYXzgNWdzOX7v1lu78+xf/MpX8sJXvIKiYVCu1RgLBvuUasRiHkloWp+gYLLVIilJFC1rQfv9jqBg8JhkQiFv0ugCx2qyVPL6aRYgs8lSaf5rGAbFjqqrN0JbpBbTW88qGAYV1yXvW810sHt2liuyc6MfOpY2+Xqd9MqVXQKZyOc9VZnv27bjoosWfM1e0svEYkzkcpQtC9ptjpTLXLFyZXdOTnfIW6NBOhrlsD9zOt9oUGw0OFIu8+JNmwA4UiiQjkTYffQoz9+8+SnpyVkIF2o6c1iOQ9yeLCyrs0SSpC7pnI4EhBBMTU1x8OBBLr/8cob9L/xS3QyWSjpbQyF2V1Xu1SvolsK395XIHbGZnLCQJMiMS9y5p42kRnCjBkNGlB8dNtgQ97zXhCQTEho5q83V0Qw1DFzhgqSTt0wmGg3Sfo2k1Wxy2+23U3UcGBnhsosu4q1vexvZUIisn0orWhZ52yYzsHjMq+34TZz5Vqtbg+lNwx2pVsm128j1OrOS1Bc9oaoLGmQmo1HKjkN6gQuFZCQyb5tyq0VSVeelqCZ8guqMS4C5MQjpQIDJQoHVsRgtWSY7EJ2M+T5qC6GXQNKRiKfsq9dJ+qTU+7yuR9oCEd+OtWu91J0vWJg4dWr+kDXHIRYKUTYMhB/hdAinM7p60m8+fdHFFy/4fp8KXIh05rAcXaafLCwr0oEze6EJIdi/fz+nTp1ix44dfcOIlqp8WyrpCCG4vBbjK40itgTHTlrkUwZpK46pWTgBh7ARJ0mIUqBJO+JgKTIHrDIjcgjFEQzpIVAgb1qoqkxC9r74I3KQmYO7KKoqdVmm3WzSWLkSikXSQ0O8/V3vIi5JmIaBepoCf6+SrZtysiwvOvInaw6ml168Zg33TE+zIRpllab1KeB6iaoPftSUWaiIb9vzHxdiwce7LgWBQLdI3zsGASCuaey1rL66zWQ+TzISmZeWW0w80Hl808hIH+E+cPQoxysVYpGIV4/pEQqke47RpmzW20dP/v2BY8fAdUkGgwghWJ/JsHN6mkQwCNksE7OzHCkWSfgTZa8YG1vwvT1VuBDpzGG5Tg59MrDszpLe9NogHMfhkUceoV6vc+21186zc1hqj8/5kM6msQDh78qUEgayK4jLMsV4DVoKiXyaum6REEGyboS2bRKXJQ47JYTrMqrFyNs2Q2qIltumahkIIRGXNAzXYeXoKJP1Oqs0jXg0yvv/1//im/U61910E0eLRQqFQtdTSZIkWpLErCxzaSBARtepC4GsqjQch4eFYH08zkg0SiIYpOy6bFpgpEHv5zsXZCIRJkqlhUnnHJFvNOYW+560WodkhBDeaIPBVJyigGX1Ec1kPs+6TKa7n8ly2RNS2LYng+5Iy/2IZ1067cmaXdczDu1ENTCPzIqtFmm/D2xidpZKo8EVq1aRiUax8nmKzWZ3RPbE7CzlZpOxTIY9x49z2erVvOgMNkVPNga9157Nkc4FnD2WHel0MEgCHd8iWZa55pprvOFpA3gq02ud97h2pc61SoQHTwhOrm6RO24hS6AkFATQkiyOyiXG7BRBReOEVSQmdDRVxxIuWkCmZNsoioItZI6abUYkgeOYbEwkuk2cmUCAoGXxO7fe2tezMxQM4tg2lmUx02yyu1SiIknYkkRcljEtC9m2sQ2D4/U6U66LY9vUgLWyTANQFIXhcBhFUdA0DUVVcRyHqXyeSDRKJBxGVVVUP3W2kJgg32xypFrtpgN7MVkq9c27AfoihDOhl8gykQjGwKiDiWLRa7SsVlnXU9MqNpsk43HPGscwSAcCJFXV+32R8d4Z38yza13TaHj9NX4K94GTJ8FxPIFGz1C3Yq3Wl2sptVrkDINLV6/mSD7PWCpFMhLhSLFILBTiNUuc2vhEoteR4Nke6bgssabzhL+TZz6W3VnS+RL0kkej0WDnzp3E43G2bt26qMDg6Yh0AP7o/13N+/7kCNWSgZkE3VZRVBmz7TDUCnEyXWOaGqqQiZlhZEvCDjs4AIZLTA+gIUAS7LeLWFKEnxuXmTh0mNGREUKBADOOQ0bXKdg2riwzFAgwUa1SMAyG/IV+fGiIaDxOsdXqFxT4yLdaZPzUz4/KZVYoCrZtk2s2cWUZw3FwbZtcrUZVCA6fOIHQNDKO0/2ssiSRdxwuDofRdN0jKlUlEw4Td10Uw0DTNI+kVNUbJy1J8xb4iVKJcq9nWo/LdG8Tap9ztRCgKBim2RUS9GJdPN6N2vK+N92gAq5oGF0C7I5N6Ewtpb+OM5HPe/v15awT+bwXzYyMLGiN8+KLL/b6fFotqpbFmhUrSIdCpNesYbJjxyMEv/viF8/73zwduJBem8OFms7ZY1meJb0LerlcZufOnaxatYrNmzefNu3zdJFOJKTw7l8Z5T23tpnd7GDrAstxmQ7VGGlFiBU0qrE2qi4TlGK4QNW2AYkkGiXLQHW97NB2dRVV2+Anu+/jjltvJbl2Le/8jd8gmEpxXFGoSxJpVSWj68R98k34i4VlWSSAWddlul7vzvXprZPlfOLJqipBTQNdZ9Y0Geqpja0Eju/fz5Vr1hCJx8loGq7j4DiOF1HV6zh4C5Vl27iOw/Fajf31Olathus/3jmiTdclFQyiKgqqpqEqCidtm5SiUKxWURSFVeEwqqZRNgy2Z7NkfbLouFHnGw2KzaaX9nIc76frdtNnwLw04SDhdOs4PYaL+VrNm4WjKCRDIcqmybpEoks4m3p8+4rNJgld91RpHYueWo3JYpFkOOyl4iSJcr1OTNdJB4MUm02OlEogBGPpNC+/7LJzOs+eTFwQEszhAumcPZYl6XQEATMzMzzyyCNs2rSJsbMouj7V6rVebBgP8VtvXsmffWmGUxeZ1MMmmXqYhmZ6qry2jOoqNB2TTDiC5sjMqjVwBBWnwbAaZo2UQAICAj73+c/TlCSae/fyf7/4RV7x+tdzrNXCFoKiojAjBJqmISsKj0gSaV1HVVWymoYLVCSJer3OcDiMqiiUHAdZkpisVrHjcSzb9grcwJV+zSMTDHbLoscB4boUmk1EMEg2EEBWFDRdJ7ZA5AKQKJfZ5LsiCCEQruuRVK1GQlWxHQfbsrAdh2q5jGbbuLaNYds8bllYjkPFNEloGif8KKkhSZQDAeqOQzYS8Sz48Yi21WqxOhbDdRzK7XZXrj2Zz5MMheZHOe02KEqfcKBoGCRjMU9F529frNe99FtPzahTT9rhn4cTuRyThQLJkGeDtCmT8eTSfp/O46dOEW61vAmNrtut7YwuYiP0dGCwpnO+lvc/zXCFhLuEnpulbPPTjmVJOpIkcfLkSY4cOcK2bdvmWYEvhqdDvdaLF1wTR3GP8sOJGv/cCJEPNRktRTEDDu2ITdKOoLsuZbNFkhDDxJhRy2SUCI6QOWbViSk6Vcci50tqR6++mt/8wAcIRyK8IBAg126TM03W6Tq2ZWHZNrPNJpZtY7suOctiyjAI2zbHm00ykoTrOMQUBVmWUYFDuRyarvOwqjKsaaiaRsW2qWoa2VDI26/jMBQMUsePaHpqMJZtM12vkwmFuiQlAa5PNOClqSR/m7Yss3bAoqcRDncJqgMhBLO1Ggn/s9mOw2yziWkYKEJgWhatVgvDT8UdOnSIiL9oVoWgpeucME1URaGmqkznckiKgibL1G2bhhBcNTJCQlFQVZVCs+kp7jr1m2bTqw3Nznoig0bDazRtNDxPOlnuS78lfdJel073KemOlMtM1+uMjo56l8KyTLnV4tee+9xzOseeTHTTpf7/6EKkcyHSOVssK9LpreccPXqU5zznOSTPYWTv05VeA+89/+QnP0EWDcYTF5F6LEd9NVSDBnEjgKrqVCNtFBHCxEV2QDVkVpBEcQWqkFBlCdsVBIQKo6NEgP/nne+kHQh0e2WywSBF26YmSWT9ukIqleJApULdMFgfixGzLNKBAD+v6+TabYZ0Hce2OdVq4dg2uVYLx7IoOA5BwGq3sS2LYqnEKdfF8q/473rsMZq2TTIYJOWnxRRNQ5UkjhsG6+Jxr26jKCiKwqFKhYTfFNnrVWZZFpZlUfAjDEmSOFwqkfTTg53/e7HVomIYrEulPKGBLINPfOt6LjwMw2Bizx4uveQSUqEQtuNwsFQiEQxi1mqMR6NYluUJLGybfKOB3WigCsHjlQr7/c8nKwqZUIgZTUNXVapCoAGrYzFEs8lUrcYey0JRFGRdZ1M67TWDdoa5RaNeDadW8wa2hUJMFouMpVIEKxWqrRZTlQqXrVzJa6644pzOrycbnXP3Qk3nAs4Vy+4s2bt3L0IILrvssnMiHHj6SMdxHHbv3o1pmuzYsYOrHJevfitPPWZhRhzKmovQZLKVME7IRWgSx5UKEUkn6gSJiYBfJAckQd0xkFstfuO97+XlmzZxoNHgQE+jKLLMoU4R3X8P6R67m82xWHemD0DBNMkGg6z1t78IyPlX7r0TOffmcpROnGD9yAjDw8PYgGPb7CwWGQ6Fuio513EI2ja1ZhPTv29aFscsi0ChgKYoHFRVNEVBUVXqjuNFRf5jVSFoC0HbV+11r7YliTWpFHODGGCyViMuyzgdaTjg2jZ1wyClaWSCQQrtNhdnMmDbRIPBedLmOLDOJ7hMMMiB2Vny1SpjiQS24xDXdXKNBo/PznJxLMbJSgXXtim0WkSAQruNEAJ9ZoY9loWqaQxFIjzcbtNwHFqmydbRUQ4Vi8iKQiAQYPfsLGtGRrh01apnHOHAwqRzIdJZ2nbPNiw70lm5ciX5fJ7AEvo9ng7SsW2bXbt2IYTgqquu8r/Egq9+ZjN/++UTfPFUGdlyaQQtyqpE2NZRhULaCKMFVOyAQy7QIIKO4rpIAkzD4jd+5Ve41i86b/YnkXbGJ2Q1je8UCuwqlUjoOut7lWqO4z3XX0yywaCXkmu3u7+DV8uYqte5MpUiGwrRNgxihQKJ4WG2DtjCtIDNA3OJcq1WnyOAEII1xSJxWSapqliWhW3b2LbNTL1OXJaxDAPbtmkbBol2mxlf0SXJMpqiUBMCNRxG8eXZqqoSN002JpOo/pW4qiiUmk1WR6PYrst0tdptdE0GgwyFw9i2jcRcHSbr+7JlQyEO5HJIsszmVau849BocLDRoGIYvOjii+fGHdTrrGPO0801DCZyOYZ0nZgvbCi322xOJr0oslzGtW3CisJ/HzqE7bpQrZKNRvnBD36Apmlomoau693fe2+9jyuK8qQbrg6SjuM4z+pIRyzRBucC6SwDpFKpJU8PfSpJB7yrwwcffBBVVdm+fTuSJGHbNrIsezN9thb4r+8qHLvEQK0o2LqNLSsYskM+2GBz0+v9CNqgajKm6tLCQJ3+dy5/1S9yqNGASISsqpINBMgZBj8uFFgfjXJlhwR8FVfWJ+kcXsF8qt1mPBTqznqZqtdJaBrX+mqsbDAIskzRcYibJvv37SOdShFZsWIeocB8ksmGQn2P5dttFFXleL1OIJmEQAACAVSg7bqs6olaVdPsjjvoENN0tUrMtomrqveYZfF4ueylA00Tx3EwTZOS36OT1HXyR46gqConDYOUrhOTZR6vVDjsp/tONhpcMTrKqVqNqUaDnE9CvbUkS1WJx+MU220cy2LGsrp1qmwsRs6v50hCoOs6wVCIi7JZrFyOG4eHvabYfJ6TU1NcOzZGudViLBKhPTvLO2+6iVAo1E0vdm6maWJZVnfefe+tU9xfjJBOR1TngkHSueAy/dQZfv60Y1meJecjCHiqyEoIwZEjR0gkEmzdurUb9XRSRbt27UKSJP7+Uxt5w7snyG8W1KMmGJCsBKnrghOBCmkrQsgJUFFaWI7DcDPKLa95NZIskw4E2FWpMN4jBU75KbKsppGzrC4Z5QyjGwXhOJRaLUrtNusjEbLBIJtjMQ7Uahyo1bppuHQwyIO5HKdmZ4lGo0RGR0GSuiqvXvPOQ5XKvGPQ+1jWV3GlfTHCILI9NZ6iP2G1V0U2Y1msT6UA0P2b47pcOTxMNhIh125jmiYnH32U8ZER0qlUV7JdzeUYjUQo2zYhSSLuuszWalwkyzw+MUHNcahbFmtCIYYiEQ4WCmiqStW2URUFWdPQVBVNVfnJ7CyKorA+m2W6WuXhmRnWxmKedDqZZCKX47/27eOK1auxXZd9MzOU2202ZbMUm02qhkEiEOC61atRFIVQKHTWwwQ759AgEXWIyjAM6vX6vL+B9505F6J6stNr//qv/8pf//Vfs3PnTorFIrt372b79u1P2P6faFxIr509liXpLJU8nir1WrvdplQqEQ6H2bZtG67r4jhO9/V37dqFpmlcfvnlKIrC1//mUn7pXfuYbTu0Ri1Oxi0CLRVZQDHYoCWZaLZCHZNGM8dw0BtdmzNNxkMhphoNxv3xx+A1UhZtm5JPCt0oKJfrptquzWY54DctdrA5FvPSbD5x2ZZFNJcj57pcsnLl3ARMx+FQpUIqECAdDFJyXVLh8DxX6lQ47JGT/14P1eukFGWe20DRNLvPA5hqNEj7EuLuvgZMQYvNJmgaKAoHikUSmsauPXuIR6Os8kUF2VSKA8Uil69ezeZ0urttrl7nYr+uI4Rg3+wscVXF8RVxHWVcw7aJSRKHSiVGVZWDJ07g2DZhIdg3M0NdCFRZRpgmk5UKVdvmYK1GPBDg0PHjqKrKUCSC0W4zXa8jyTKXjYzwqksv5YEHHuhGZ9Avse/8PvizlzjOFkKIRUnK8tV+1Wq1728d6yTwrPTf//73Mzs7y4kTJzhx4gRDQ0O89a1vJXsek0wbjQbPe97zeM1rXsNb3/rWJe/nqcIFl+mzx7IlnacyTXYu2zWbTR588EF0XWdkZKSPcFzXZdeuXQSDQbZt29aNeqIRnf/vC9v4hTfsRpagPiwwgja2YaNKGq7sYtouCSfIodZJDjTjXsSg6xzy02JpXe+r6eQMA4TgUKNB0V+sU8GgRwyBADn/Z9FPR3UaRbPBID+eneWiSISDBw/SkmUuXbsWSZbnnuOnzgCPoDrHpieNB3iRkOPMRTbRqHd/sB438Nh4JNJ3P+eLJPq2s23S2SzZQIAhXef+Rx8lE4lwzdatyLJMrl7nQD7PVKXClSMj5BoNLyKq17uNpeDVdRRFIRAKgf8+D+XzVAzDi5jCYaK+dBogG4kghGC6UuGhY8e4cWyM6XqdfK2GDaxOJCjWauiqim2aPHTqFNPVKkFVZUUwyOpYjPvvvx9Jkjh69GiXRFRV7fu9c19V1UXrN4uRU+/vsiyj6/qCtlCLwXVdarUaO3fu5JJLLuGd73wnf/EXf8HIyAiO47B3795uBLVUvP71rweemfNgLuD8sCxJ56nstzmX7er1Og899BDDw8MYhoHjd+nLsozjOOzcuZNoNMpll13WN/0PQJEl/v0fLudVb30UIaCxwqWqt4kbUI+5BGwF0XCI5LztipbFoWaTVDBIybLY1WhwpS8oyAYC3QV6qtFgfSg0V9Npt72IRZZBkrrR0K5SiXF/MU7oOpOTk6RUlQ3r1iErCth2V2wAA8TjR1IwV9vJtVogSRwql7ufsWialHoMMgEOlcusTybJ9fS3TFUqpHuu5g+VSqzvjVR6el46YyxMy+K5V1wxd1wliXQ4TDoa7QokvnPoEIlAYM5SRwhKfqow3flM9TrrUymya9aQq9fZdfw4V65cSdbv1ck1Gl5NrFxm08qVPFYskgqHuW7zZu9vzSZBv57WaLcJKAqXjY5yxapVvGB8nCNHjnDy5Ek2btyI67rdiKPdbncjjs5jnWh+oTRYLykNPtapGS6ExYiq9/mdiEqWZUZGRnjjG9/IN7/5TV7+8pf/VEQlTwYupNfOHsuKdHq/IM80IUGtVuPBBx9k1apVbNiwgUcffZTp6WmazSaKojA7O0s4HGbFihVUq9Vu7rz3SlZVFf7t7y7n5W/czdCpAEevMCgGG6SrYRpBA9NwMRWbkm2zPhSiZBikVZXN4TAHmk0OtdukNI1io+Gl3CIRrkyn56KZQGBOoea6FA2DlKKQ1jTSfr1kSNd54MABHEmCVauQFYVDzSbrQyGK7XY3UioaBiXDYFehwHg8DkKQ1vVuHacb3Qgx9/siNZ3sQKf7eCLRXeT9fwAI0SWmQ6USqWiUqVKJSKPBY8ePc/1ll1GyLLAsL/WGZ5FzyB8EV2w2ecn69d1dHsjlKLVapCIRNqfT5Op1cr4NTicSKrbbjKfT3ufu9XGTJK5cudKL5GybdDjs7a/dJhUMcrxSYauf4qu121y5Zg0v3riRUqnEsWPHuOqqq84o9xdC9JHSQj/r9Xrffdu26YyYHiSkhciq9++DF0Ed01TT9BwzZmdnaS0w2vzZggukc/ZYVqTTwTMtvVapVHjooYcYHx/noosuwjRN1qxZQ6VSod1uc+LECXTf/HJycrK7UHSUSB0C6vz85O+HefdHaqzdHeLodoOK2sYSNmrNIFYLkFJVvlcqsToQoOjn3zeHw+Q0DVyXQ7UaVyYS3b+VXJeSP8QN6EYRJcMg5Rf4s7pOrtXiwQMHCFkWl15yCSXbBtf16jCu2yWVtKaR1rRuDahoWZQch7QskwqFvEhCnovIOrWehWo6g/WcYqtFyXHmpNv+QteZVVNstUhFoyBJjCsKRwsFXrptG+FQCBzH277d7ooO1sfj4Dj9NR3fjiYdjVJsNjmQy4EQbB4eJtdqccD3VZuq1bhyeNjbZ71OKhxmczbr/d2PENOxGN+bnCQWDHLlyAjFZpNYIECp3abSavHqbdvYvnIl7Xa7a9l0Nv1lkiQtWWgwSFC9vzcajb77nfpNx0G8c2s0Gui6zmc/+1ny+Tx79+7lkUceYd++faxZs4boaUaFD+LLX/4yb3vb27r3/+u//osbbrjhrLd/JuBCTefssSxJ55mkXisWi+zatYsNGzawdu1aTNNECEE8HkfXdXbu3MnKlSvnmZH2KpF6F4nO75/8/RDv+eMWa3YFKa91KKdcGkOCHT9T5vjeKoYkUdQ0jisKFwUCPCZJNP1IYks0SqXVIqIouJbF+kDAW+hdl13lMiVNY30sxvpUimK7za5qlStjMWqnTtFqNlm7ebNHOPjy6maTzaOjgN/X02r11YCAbs0lGwh4f+84JAQC5JpNr/bTiSAajW6NpNRs9o07SOs6aUWZq9+4bn9k5Dhkw2GmCgUeP3yYi8bGGPNl3rlGg3QoxOZMhlyjwaFiERynS0Cd5xQNw4uCymVSqtolwQOFAlOlEleOjHhRme+Tlg6F2Dw0RK7Z5DsHD5IIBkmHwxSbTUrtNqvjcdan0xwqFtmfyxFVVcZTKX792mv9j+DyyCOPMDQ0xOrVq8/19Dtr9Eqpzxau73/Xex7mcjkqlQojIyPs3buXf//3fyeVSvHf//3f/PM//zOf+tSn+PVf//Wzfo2bb76Za665pnt/ld8D9dOEC5HO2WNZks4zRb2Wz+fZvXs3W7ZsYdWqVV3CUVWVZrPJzp07GR0dZePGjfNy7L0LxGJGind+FW665UGihxTMlQI7LQisXImi64zYNqsVhYJhoLgua12XXY0GeyyLQ7kcI45DybKI4XXpHwZWBYNsCASoSRInikWyoRBJVSVp23z/4EFa9TqXrVvHEb8ekwoEvIVXVflOPs+V8ThZXZ/rwelRqu3K57nSjyY66agOsfRKp4umSToY7E+/+Z8/12x6ROCba3ails4391CpxPpUiuOlEocOHWLVypVsWLnS27ZT51EUL/oyDCq2zZW+wurHJ09SabcZTya75p0pTSMdCHgCg872nfk6eJLxYrtNOhTiQLFIqdWiZlm8ZMOG7vNToRBThQKHikWOV6tEdZ2tK1Zwy+WXdz/zxMQEruty8cUXP+lNnecKWZYJBALdZutWq8Vjjz3Gtm3byGQyXHbZZTzwwAM8/PDD3ejmXL97sVjMMzb9KYbf7rak7Z5tWLak83Sn1zoO15deeikjIyPddJmqqt35PqtXr2b9+vXntdDc+dXnAB75PPiJG/iTqSnyts3qaJQpyyIRCtEGQorCViF4dTTKAX9B3KZp2LbNgUqFTY7jpcFkmTW+bcyJahXHcWg1m4iOO8Djj5PwZ+BMSxIFVSUTCpEF9pZKXefqhuPQcF3WJRJe06CisKtS4cpUyosC2u1uBNErpy45TtfkEgbSa4pCKhz2UnWKAorCej+K6aTVbNfl4OHDHJIkIprGgVLJS2W121zpR2Od1NeVw8NeZNZosD6Z7KrXDuVyIMtcO0hYsuyly44eJSbLpDtX5P5l7vp0GmzbS69JElOVCgldJxEMUjEMVsdirM9kePGGDd3/36lTpzh16hTXXHPNOTdoPtUQQrBnzx5GR0fJZDLs2bOH2267jbvuuqsvnTZY/1kKisUiR48e5eTJkwAcOHAAgJGREUZGRs57/xfw9OEC6TwJ2508ebJ7NZjNZrtKI1VVqdfr7Nq1i7GxMS4asIs5H3TI533j43x1epqpVouabXPKMLgukfDSYUJ0CSet696C7jhcmk6DEBQti6lWi4YfZVwUCPDg1BRHq1W2rFvHC1IpHL/bP6koWJbFbKuFaZpUTZOo6zJVKBAGVioKwjA4ceoUCUUhrSicEoID09Nkg0FqvqvzcChEWtOoOA4hWWa1rqMCGV33yLhHLp3zU23d9FqvlNpxSAcC7N+/n6Cu84JVq9icSnnb+JFTrtnkULFIKhgERekSDjAXzUgSFdcloSiemi0YJNWTLgN4wdiY14uUz7N+aMhT+XUiLlnuCgYSus7+2VmigQCr43F+vSeFBJ64ZN++fWzduvWnYizA1NQUpmmyadMmDMPgrW99K7/5m7/Jdddd94S/1v/9v/+XN73pTd37r33tawH44Ac/yIc+9KEn/PXOFxfSa2ePZUk6T6dk+vjx4+zbt4/t27czNDTUl1KrVqvs3r2bdevWndV8n6XilpERThkG3y+VuKtQ6NZfKrZNys/nF02Tqc4MGUnyCv89V6slw2Dy1Cn0YpH/vW0bJ4BdtRpXxmIoqsoJw2Cq1WI8GqVumgQliZiu8+po9P9v78zjo6rP/f+efZJMMslkD4sJYUmQJUAgQG2hFyxIb1v9qaVWb9WrUKxaWVqFVlGr1utCFVotrbUXN25be629VS9eii2tVy6FhIRAFiELIWTPTCazZtbfHzPnmIQkTCbrJOf9es0LMjNnzjeT5Hzm+T7P83nEJH+eVhsYm+B2E69UYrDbabVa8cpkqLxeajs7A6Xjbjc1VivpSiVGtxury0WGRoNKoaDJ6yUzJgaFSkVTVxeZcXHYgFMuF7MMBhxOJxetVhKjo6muqcHd1UXiVVdhiI4Wq9m653yyDYaAuHZ0UGsykZmQIG6PQaCiTa9WBwoM9PqAGDsc4j6IISbms8o+nY6qjo7AtlxcHIaoKGpNJvRRUZicTira2tBptcxPSWHjggU9fkZut5uSkhKuuuqqITVRjhadnZ1UV1eTn5+PQqHg8ccfR6FQjJgA3HHHHdxxxx0j8tojgSQ6oTMhRWcsSqZ9Ph+1tbWcP39eLHntLjhms5lTp04xa9Yspk2bNuhzDJZ0jYaNwW2IUosFq9dLTnQ0pVYrU7VasoMRRlFHR8BDLVhFBmDyeKhob2eKyUTi9Ok4VCoMfBYdmRwOsnU6iIkRK9WQyykymwOJ9WDJtPh6bjdnrFaQy8kM5nWSNRoypkwRczuzIHBhl8nwulyBoW3BuTtxcjkejwe1zUa030+DzYbH5aLWasUYdHC2KhQ0uly45HIUwS1ApUJBvFaLWqlErlCQrNNhcbux+HwsSkoiJSYmEP20tQW2xvx+jDYbCd3zODIZJpcLk9uN2eUSjVABao1GMuPjydbrMTqdVHV0YPF4sJjNIJORk5TElmXLLvvZ+P1+zp49S3R0NDNmzBjJX4Nhwev1cubMGTIzM9Hr9Rw7doyf//zn/OMf/xhUU+lExkeY1WvDvpLxz4QTHZlMNmTxCOc4s9lMY2Mj+fn5xMXFifYlSqUSk8lESUkJc+bMGfXKnI1paWxMS+OZmhrqu7qwut2YFQqqQKzMEvp6APD5uNDWhsxkInvmTNyC0LjdJKhUgegmeKExCNVowb6exXo9VZ2dge2lbs8xqFQkJyVRaTYHfNuCHwuTtdrPDEejoqg0mwNriYmhLihGvuho5BoNaiAqJgavXI6ss5N/Dr6PrXY73s5OSqurWTlrFikxMVQYjcTKZMQqFJw3mWgwm0nXavm/+npSVSq8Ph+namoCk0yDE0aLmppodrtRqNVcFROD0WRCGRSqaLmcS1Yr62fOFIewGR0OLMGfsdHpxOR0Ut/ZGfjeZDJumjuXPCGH1Iva2lqsVisFBQXjrnCgL86fP49SqSQrKwur1cqmTZt4/PHHufrqq8d6aeMGv98f1jUnnGMinQklOt2tPUares3v92M0GrFYLCxfvpyYmJgeEU57ezulpaXk5uYGJkGOEQ9lZXG4vZ0isxmL14vF4wGtlsxg8r6osxO9SoXCbud8YyNfmjkTt0aDIWiRY1CpqLJasbhc1MpkgeR+MA8UfCOotVqxeL3cNHWquMXWfTTCHL2eSrNZ3Kqq6uggW68XXQlMdnvgdYN9Q3P0elGUhIioymJBL5fT6nBQ1dFBskzGx+XlzJ85k9lTplBpMpGQkCCWWc/v5tGm6Oig3mZDp1IxVavF4/MF/NR8PhLlclxmM2a7HbvdTqxcjt3jobqpCbfPxxmzGVtDA0q5HLtMRpffT5xaTYXDgVyhoNZmI06t5vPTp/Ol7GxUKhU+n++ypHp7ezs1NTXk5+dHxPyZ9vZ2Ll26REFBAXK5nF27djF9+nS2b98+1ksbV0jba6EzoURHYLQKCfx+PxUVFVgsFpKSkkTBgUCE09bWRmlpKfPmzQt5ZPZIcm1iItcmJvLbxkZqHQ4q7HZ0wYviVI0GlcNBbV0d2RkZeKOiMLndgREHGg21djuZUVFk63SBKjeXK1BSrFYHPum7XCxOSMDo8fB/RqNYblxpsYjjBIqMRiw+H1M1GhLUarFqLTvY1Z9tMFBkNEKwibS1q0ssoSZYrWb2egMuCg4HWpmMkqoq5mRlERMby4d1dYHnud2YNBoSenm4JURFBZpdvV4x2W/Q64FAtLI8OTnQq9TcLN5f29mJXq3mcx4P03U6Wq1WasxmDHI5n7a3Y/N4iFcoSFep+EpKCm6LRTTrhMDvgeBtJpfLMZlMJCYmYjKZsFqt4mNC8+94qmBzu92cPXuW2bNnExMTw6FDh/j973/P6dOnh6VCTWJyIolOmMcJ+/Lt7e1MmzaNrq4u0eRQqVTS3NxMeXm5WME2ntgYjLj219VR73Bg9Xo5bbOR2N5OTGoqjXI5mX4/2UFREDB5PGJOw+zzgccTiG7cblYFv0eDUhnI66hUgT6aoOBkB/3GjMFZOD0IfkysMhrRKxSBpsquLgxqNSaHQ/zX5HCgVyqpMpmYptXSUFfHzIwM0oOCbkhKCjR2CkIYdCvIDnb4i/010dEYoqMpamoSq83MLtdnHzv9frEHJzMuLhBhdXRw1mxGr9HQ6fPhUyjISE5mqk7Hlvz8y95jr9fbo6HS6XRSVVWFTqdDo9HQ0dFxmTMAfGbAKYhQbzeK3vcNZPg5FPx+P+Xl5cTGxjJlyhTa2tr4zne+w969e0e0CCZS8YfZp+OfhEmdCSs6I1lI4PP5KC0tpbOzk4KCAurr62lvb6elpQWtVitW+oxHwenOlunTAThQXc17ly7RodOxMCYGnctFqdXK/NjYgOml202jy8Xi4Kd/QLw/MyYmUIjg8WAKRnlmj4djLS3k6PWByIKA3Y0pOCytymYjQakMCJLfH3BsjosLOCC4XBiUSrFxNDt4TuFfo8uFXi7nZHk5bqWSKK2WoubmgL8bBJL+TicJGk2gMbOzk6Jg3w1Apk4nik9mQkLAYFQmY3Gw3wegViajqLUVvVpNgkZDUXMzjRYLOUlJVLS10epwkJOYyPIpU8jrp2dEERwEpw1+H2VlZWg0GpYuXdpnlCCMGOjLQ60vHzWhDL97E3F/ItX731CilKamJoxGo1gOLZRG33777Vc8djIiba+FzoQTHZlMhjxY7RTOsUJCsL9Pjz6fj+LiYhwOB8uWLUOpVBIbG0t7ezsXL17E4XCI5y4pKbniJ9be9492Ytlms5F18SLPzZzJhzIZZo8Hq98PPh+lQTPMVYmJmN3uwEC4YD+Jye2m3uHArFKRGRUV6J8J5lGK2toCghP0eoNAQUGp0YjZ5eK81cqShITANppaDQpFwIxTJqPWbscUzBeZg+IAkBkXh6mri4s2G3FmM0qVisS0tICoBY+vMJlIj44mMyYmUEHndJIZG4shKoqj9fXMT0wUB9AZHQ6Qy6kwm0mPjhaFqLazE4vHw/zERExOJ6VtbeKVoaKtjfSYGF689tpBvceXLl2ipaWF5cuX93vBFzz2Qq0G8/v9PaKp3oLUlyu18HspGHn2Fz35/X4qKyuZOnUqDoeD//zP/+STTz6htLQ0IgofxgLJey10UT41nQAAK5RJREFUJpzowNC214B+Rcfr9VJUVITH4xE/sbrdbvR6PYsXL6a+vp6qqiry8/OJjY3tcUHoflFwOByYzeYej/f3qbW/C8NwiJTD4RC937KyshDcsn7b0ECt3c75YOPkUaORqVFR1Fut1Aa3rDK12oAwBO10TG63WLFmCborm71e9AoF5uCY6FiFAr1SyRKDIVA5F3izweej3mrFrFIFSpqB+QkJ4kA5YavM3NWFsbUVU1cX06ZMCYyF9vvF8+YkJGB2OMQSZ4AEjYajjY3EarXUWixiI2eCVovJ6Qz4oMXGYtBqKWptxeJyBdwcLBbOG43EqFTolMpA+fOiRYN+j81mMxUVFSxatEiMeoYDmUwmOkGHavh5JVdqR7DR1xy0JXrllVd4+eWXAUhMTGT9+vVkZmbyzjvvDNv3MVGQIp3QmbCiE271GvRdxujxeCgsLARg6dKl4n0Q2Eq5cOECtbW1LF68GH1wK2gwFwRhSmRvgXK5XOKn1u6PCYnq/gSpv68FkXI6nRQWFpKSksLMbrYsABuD9i8A+2trqXc6KQz24CCTEatUivkdi8uFXqWi3uEQBWBqVBQJarV44der1VSYzeTo9ZhdLiweDxVuNzqFghqzmWilktTo6IBYyeU0d3WB0UhzsMt/ZlwcFrcbs9nMJZuN3IwMbH4/1W1tpEZHE6tSgUxGo91Ojl5PRXs7OQZDYA1dXUyNiQmUe5vNAcEJbrtZnE5i1WqQyShqacHidhOrVlPY3AzAktRUshMSuDYzM6SfYW9cLhenT58mOzsbQzcX67FCLpej1WoHFL8LFy7gdDpZvnw5X/jCFzh16hSpqal873vfo62tbVKPLxgIv8+PP4ywJZxjIp0JKTpDcSSAy0XH5XJRWFiISqVi0aJF+Hw+PB6PuJVXU1PDxYsXxQgnHAZrU99dpHpvsXQXKeGx7iKlUqlwOp2o1Wp8Ph/V1dX9bgNuCV5wD7e2cjS41XTeagWZjFSNhli1mnqbjanBbbdahwNLVxf1Tifz4+MpNZuJVSjEmTcAsUolU6OjqbdYWJCYCH4/FpcLq8eDze3m8KVLRMvlmLq6sHs8pGo0uLxepsvlzMvIEPM9U5OSKGxpYWpKCma3m3ThvQv+HGtttkDkEh3NsaYmcoQLv9+PRdi6k8k41tTEp0Yji1NSAPh6Tg7XDjFZLviUxcXFRUzi3WKxiM3NSqWSl156icbGRg4dOkRcMGcmITFUJpzoDLU5FHqKTldXFydPniQqKoq8vDy8Xm8PwamurqahoYH8/PxBzRAZKuGIlNvtxm63U1ZWhk6nIzU1tc/9/75EKl6t5uagEP1DLqfI6cTqdtPm8+GUyai22VgQF0eVw8HM6Gj0KhWlJpMoRnq9HnNXF3qlEmQyKsxmdEol5y0WAFK12kCyX6Fgml6Py+0mMToatVyO1+2mpbOTlMRE1Go1jcFP26eDTthmjweLx0OsUom5q4uchARReGKVSswuFzkGA/VWK80OB6laLc0OBzFKJc12O0tSU1mRns7GOXOG7edTVVWFw+GImAZQn8/HmTNnuOqqq4iPj6eiooLHHntMEpwQkXI6oTPhRAeGVr0Gn4mO0+nkxIkTxMXFcfXVV18mOOfOnaOlpYX8/Hxiuk+yHIcI/R/nz58nJiaGhQsXDljF1F+S2uVysQzIIxABujwe/sdm44zLRWlrK10yGYf8ftJVKmKUSi4CKRoNRr+fdI0Gu1yOQqEgWaWixuEgLTqaWKWSRrsdXbCUerpOR7JajU6lQuv382ldHQumTMGh0fSwofl8ejr1NlvgWIVCzMfUW6002+2kRkURq1LRaLNxur0dh8/HXL2eWLU64Pis13NtsIJvOGltbaWurk4sNIkEzp8/j0wmY8aMGbjdbjZt2sR3vvOdiBumNlZIOZ3QiYy/iEEyHJGO3W7nxIkTJCYmkpubK26pyYMXzfLyctrb21m6dGnI0cZY4vV6KS4uRi6Xs2DBgiuWzfYu+R2Ia+iZpP5lTQ0ej4d6u51Ol4sLDgcer5eGzk7iALXXi9bvx+HzUQwkqVQoZDJQq4lXq2l0OklRKknw+2lpaSFRpyNJr8cOyPz+gLBYLIFoSaUiPSoKi9sNfj9/b2zE5HIxOzaW5mBElB4TQ05CAl+bMYP0Ef5wYLfbOXPmDHPnzh3VyHcoGI1G6uvrWbZsGXK5nB//+Me4XC6eeOKJsV5axODz+fGFEbaEc0ykMyFFZ6g5HavVyunTp0lLS2P27Nl4vV68Xq8oOGfPnsVsNrN06dJhrUgaKYTJlF6vl8WLF49I13v3JPWOXo7KAIebmkQPtwqzmTSNBrPTibmrC18wp4PPhwowyOXUdHZSZreTrFBgd7koC5Zv6+Ry6mUyzH4/0UolxmDUmR4djcPnY3FsLDMTElg3fXrIPSnDhdfrpaSkhIyMjIiZ+SK4DsycOROdTsfJkyd58cUXOXbsWET8bo8XpEgndCak6Ax1e624uJhp06aRnZ3dQ3DkcjmlpaVYrVby8/PFaYrjGSGh3dXVJSaIx4JrB3ERbrDbee5//5cFej2z58xBDpw3m/nX7Ox+iyd6/L+hgb9fuAAEIrYrlZ4Phw2N3++nrKwMpVLJrFmzwnqNsaCyspKYmBimTZuG3W7n7rvv5pFHHmFht8mmEldGEp3QmZCiE26k0xE0npwyZQozZ87E4/H0EJzTp0/jcDjIz8+PCEt34UIoiGQkGEwC2Bsa+H9aLcuWLROF/dqgq3SoQu/z+XC73f32Stnt9j5taASRCrVXShCpixcvYjQaB2wAHW80NzfT1tbG8uXLkclkPPLII6SkpPDggw+Oyvmfeuop3n//fYqLi1Gr1eLf30D4/X4effRRXnnlFTo6Ovjc5z7Hz3/+84gS+snOhBQdGLxluNFopLCwEJlMRkZGhmgzIpfLkclklJSU4HK5Iubi7ff7+fTTTzEajSxdujQiRBIC3fsXL15k6dKlQ4ok5XI5Go0m5NfobkPTO3rq3jjZ/XHhPEqlEpfLhV6v59y5cwP2So0XQ0+n00lZWRlz585Fq9Vy5MgR3nzzTYqLi0dtjS6Xi5tvvpkVK1bw6quvhnTMs88+y759+3jttdfIysrikUceYd26dZSVlY3pdqDP78cXxgfdcI6JdCak6Ax2e621tZXi4mJyc3OpqKjA7XajUqnEP77i4mIxHxIJggOBkt3m5mby8/MjZm++vb1d7N4f7SR8ODY0brcbm80m5nGEOUput/uyPinBfVww9Aw1mlIoFMNeci1EwMnJyaSmpmIymbjnnnvYs2cP2dnZw3qugXj88ccBOHDgQEjP9/v9vPjiizz88MN87WtfA+D1118nNTWVd999VxxpPRb4feGZd0qGnxMAoZw51EinubmZ06dPi+MHKisraWxsJC4uDpVKRVVVFQqFgry8vIgRnNraWurr68nPzyc62Ccz3hGKN+bOnTsuuvevhGBDc/78eRITE5k7d+6A4iCIVH/bfb37pNxuN36/f0DX6f62+64kUhcvXsRmszF//nwAtm/fTl5eHps2bRrW92i4qampoampibVr14r36fV6CgoKOHbs2NiKDmEOcUOKdCYEoZZMNzQ0cPbsWdEN2uVyMXXqVKxWK5cuXcJisYgGoEePHu0xG6X3bSDLmdHk4sWL1NTUsGTJkogp2XU6nZw6dYrp06eP6aC7wXLu3Dk8Hs8VBQd6RlKh9HT5/X48Hk+/232C63RfIjWQoazP5+PTTz8lMzMTs9nMRx99xJEjRzhz5sy4b2JtamoCuGw2VWpqqvjYWCGNNgidCSs6V9peu3jxoriVYzAYxGmfM2bMwOPxUFRUhMFgYMGCBchkssv+6Hv7ovXVzT+QKI3EXJSGhgbOnTvH4sWLI6aL3OPxUFxcTEJCAjNmzBjr5YRMU1MTDQ0NLFu2bERyIN3NXwcrUn3lpgSR6ujoQC6X8/Of/5z9+/cDYDAYWL9+PcnJyXzwwQdDiuh37tzJM888M+BzysvLycnJCfsc4xFpXHXoTFjRGeiHWVtbK3pMxcfHi58SlUolbreboqIioqOjmT9/vliJNJik9EDmnXa7XRzgJdwEV+v+oqhQEtLNzc1UVFSQl5dHfHBo2XjH7/dTWlqKSqUKKVoYL1itVsrKypg3b964caLoLlL9cf78eVwuFwUFBaxatYry8nLi4uLYtWsXLS0ttLe3D3kLeceOHdxxxx0DPifcDxdC71Nzc3OPiLi5uZm8vLywXlNi9JlwoiOTyVAoFH2Kjt/vp7q6mtraWpYuXSqOH/D5fGIFUmFhoWh7E27p62B80YRPqP1FUr2jKCEh3b3/xO/309nZSUpKChaLha6ursvEaryV8QozWxwOR7+DzcYjHo+HkpISpk+fTkrQIDQS6Ojo4MKFC6LrwCuvvEJVVRWlpaXD+iElOTl5xAYXZmVlkZaWxpEjR0SR6ezs5Pjx49xzzz0jcs5QkbzXQmfCiQ70vb0mlBBfunSJZcuWERMTI0YZSqWSrq4uCgsLSUhIGNVP3d0/oYaS9O9d2ms0GqmtrSUlJUXsdeguUN0Hd4UaSY1GPqquro7m5maWLVsWMQUawohyrVY7qlVeQ8Xj8XDmzBlmzpxJbGws58+f54c//CF//OMfxzQqrqurw2g0UldXJ9o0AaI7AkBOTg5PP/00N9xwAzKZjK1bt/Lkk08ya9YssWQ6IyOD66+/fsy+Dxjd0QYvvfQSzz33HE1NTSxcuJCf/vSnLFu2rM/nnj17lt27d1NYWMiFCxd44YUX2Lp166DPOZxMWNHpHukI895bWlooKCggKiqqh+AIs2WSkpLIyckZ19s83bfhzGYzdXV15ObmMiXYPNmb3oO7hjMfJTw22HxUS0sLVVVVLFmyJCJ86wQuXLggjigfz78jvamsrESr1TJ9+nQ8Hg933303d911F2vWrBnTde3evZvXXntN/HpRcEjeX/7yF1avXg0E1i4MlQN48MEHsdlsbN68mY6ODq655hoOHTo05m0Bo+VI8Nvf/pbt27ezf/9+CgoKePHFF1m3bh2VlZV9Rt52u50ZM2Zw8803s23btsEvcASQ+SdYJsvj8WA0Gjlx4gRr164VbWCEJkmtVttDcITpmampqcyePTtiLiYWi4WTJ0+SnZ3N9GF0Su6dj+pPsMLNRwmVavPmzYuo7Smj0cipU6fIz88Xh/RFAi0tLZw9e5YVK1ag1Wp55plnePvttyksLIwowR+vdHZ2otfr2bq3GU3U4It3uhydvPhAKg0NDWLxz0B5woKCApYuXcrPfvYzIPChctq0adx///3s3LlzwHNlZmaydetWKdIZCYTtNcHo0mKxUFBQgEql6iE4NpuNoqIipkyZQnZ2dsQIjs1mo7CwkMzMzGEVHAgvH9WfMPWXj5LJZHz66afU1tYOGEUJgjXW+R6n08np06eZM2dORAlOV1cXZWVl5OTkoNVqOXXqFM899xx///vfJcEZZoZavZbRbVpvf68j5Jx37dol3ieXy1m7di3Hjh0b9LnHigktOqdOncLpdFJQUIBCoehRpWa1WikqKmL69OkRVaorRGZTpkwhKytrTNcSSsWUgNvt5vjx4xgMBqZPn95nNCX4oY2nfJTwwSUlJYWpU6cO2+uONILrgMFgIC0tDafTyaZNm3jooYdYsmTJWC9PIgza2trwer199ilVVFSM0aoGz4QUHaGIwOVyidU63QXHYrFQVFREVlYWmcFxzJGAkHtKSUlh5syZY72ckPH5fJSUlKDT6cjNzQ1ZFEY6HxVKB39lZSU+n485wzhVdDQQmptXrFiBTCbj0UcfJTY2lh/+8Iejcn6j0cj999/Pn/70J+RyOTfeeCN79+4dsGF59erVHD16tMd93/72t8V+ovHMUG1wum+vTXQmnOj4fD7Onj0LwJIlSy4THLPZTHFx8bDnQkYal8tFUVERCQkJzJkzJ2K2AoVP3F6vl0WLFg1q3d1n9IRCX/moofRH2Ww2mpubmTdvHi6Xa1wZdg6EzWbj008/ZeHChahUKo4ePcq///u/U1RUNGqjLW699VYaGxs5fPgwbrebO++8k82bN3Pw4MEBj9u0aRM/+tGPxK8jxcZpqIafMTExV+z5SkpKQqFQ0Nzc3OP+5ubmiJnfBBNQdBQKBVOmTKEzOPSru+CYTCZKSkqYPXt2RG2VCA2rOp0uopooAaqrqzGZTCPWud+d4cxHtbe3YzQa0Wq1lJeX99kfNR7zUT6fjzNnzjBlyhQSExMxm81s3ryZf/u3f2P27Nmjsoby8nIOHTrEiRMnyM/PB+CnP/0pGzZs4Pnnn++Rv+hNdHR0RF1ABUbDkUCtVrNkyRKOHDkiloj7fD6OHDnCfffdN+hzjxUTTnQg0LksXCiUSiVKpZL29nZKS0vJzc2NKH8vr9fLqVOn0Gg0zJs3L6IEp6Ghgbq6uiGPKRgJBspHCfmn7OxsMd/Xuz+qr0hqPOSjampq8Hq94vbrgw8+SG5uLvfee++QXncwHDt2jPj4eFFwANauXYtcLuf48ePccMMN/R771ltv8eabb5KWlsZXvvIVHnnkkYiIdkZrXPX27du5/fbbyc/PZ9myZbz44ovYbDbuvPNOAL71rW8xZcoUnn76aSCwQ1JWVib+/9KlSxQXF6PT6cZsi35Cio7AyZMn0Wg0dHV14XQ6SUlJwe1209TUJP6hazSaYfE9GwmEhjm5XM6CBQvGvIprMLS3t1NeXj4mYwqGgmDNExMT06NQY7CjD0LJR3W/z+fziUIYbj7KbDaLbhsKhYL/+q//4r333ht1M8+mpqbLyuGVSiUGg2FAY85vfvObXHXVVWRkZHD69GkeeughKisreeedd0Z6yUNmtPp0Nm7cSGtrK7t376apqYm8vDwOHTokFhfU1dX1uE40NDSI/U8Azz//PM8//zyrVq3ir3/96+AXPAxMONEpKiriu9/9LgkJCRgMBhobGykqKmLbtm2kpaURGxtLTEwMarVatMAR/tg1Gs2Af+TCbTQu/kLVlDDHJxJyCQLCmILc3NyIGFPQnerqaux2+5AbQEc7H6VSqTCbzcTFxfHqq6/icDjYt28fDz30EB6PB4fDMeQy6VDNPMNl8+bN4v/nz59Peno6a9asoaqqKqIcIEaa++67r9/ttN5CkpmZOe5MRSec6Fx11VVs2bKFlpYWPvroI/72t78xb948/vjHP9La2kpLSwtdXV2oVCrRJ8pgMJCYmEhCQgIJCQno9Xri4uKIjY0lNjaW6OhocfwxXHnLpPstnChKaGjt6upiyZIlo5b8HQ66urrEMQUD7d2PR1pbW7lw4QJLly4ddWueoeajLly4gEqlQqfTUVhYyJEjR5DJZOzbt4/du3dz880385vf/GZIawzVzDMtLY2WlpYe9wtN24PJ1xQUFAABo9LxLjp+f5g2OONMEEaDyLmahUhKSgq33347AHFxcXz/+9/nn/7pn4DPkn2dnZ00NTXR3NxMS0uL+G9LSwvnzp0T/9/W1obJZAIgISGBlJQUEhMTewhUfHw8cXFx6PV6dDodsbGxyGQyPB6PGEV1FyEhmuorshL29MvKyrBarREzGltA2A6MtDEFELALOXPmDLm5ucTGxo71cgakdz6qtbVVLI+Oiopi7dq1HD9+nNLSUgwGA16vF6fTOeTzhmrmuWLFCjo6OigsLBR7gj766CN8Pp8oJKEgeLFFQg7WH2b12mQUnQlngzNcCG9LV1cXLS0tNDU19RCo5uZmMXJqaWmhtbWV1tZWPB4PUVFRJCcnk5SURGJiIgaDod8oSqPR4PV68Xg8+P1+GhsbmTJlCnFxcWi12iH1mIwmfr+fkpISPB4Pixcvjqj8k9fr5cSJE8THx0fcnBeXy8WxY8eYNWsWGRkZ1NTUsGLFCt5++23WrVs3Zuu67rrraG5uZv/+/WLJdH5+vlgyfenSJdasWcPrr7/OsmXLqKqq4uDBg2zYsIHExEROnz7Ntm3bmDp16mW9O+MJwQZn01N1qLWD77NxOTt55YfTxa3RycCEi3SGC+FiLhglXqmnx+/34/V6MZlMPYSpexR15swZUaBaWlqwWq3I5XISExNJTk6ms7OTtrY2brrpJlJTU9Hr9ej1emJjY8UoChD39IVRxr1vGo1GTEJ3j6xGUqAqKyux2+0RNaYAPjODlcvlo1ZSPFwIPVDx8fGkp6fj9XrZvHkzt91225gKDgSq0O677z7WrFkjNofu27dPfNztdou/MxAoB/7zn/8sVmNNmzaNG2+8kYcffnisvoVBMZou05GOJDrDhEwmQ6lUhrQFIURRNptNjKJeffVVfve733HXXXcBgcmmhYWFoki1tbXh9/uJjY3tM4rqvs0niJRQLNFXp/6VboMpXIjEMQUC9fX1tLe3U1BQEFFiCYHKJLPZLLoO7N27l9bWVp577rmxXhoGg2HARtDeCe5p06aN64jmSkjzdEJHEp0xQIg4dDodOp2OGTNmEBcXx/3333/ZBEThD9Pj8dDW1iZGTsJ2n3CrqqrqEUU5nU6xWCIpKYmkpCQMBgPx8fHiNp8gUHFxcWKxRF9NkAPdOjs7OXfuHPn5+RFnImk2m/n0009ZtGjRmFvjDxa73U5lZSULFixArVZTWlrKj3/8Yz766KNxM81UQqIvJNEZJ8ybN6/P+wWBUqlUpKenXzGpKhRLWCwWmpube+SiWltbaWpqEgVKEKnuxRLJyckkJiaSlJTUo1iiey4qJiYGpVJJWVkZUVFRpKenU1xc3GM7b6xLzq+Ey+WipKSEmTNnRlxZtzBMLj09naSkJLq6urj77rvZvn07y5cvH+vlTUqk7bXQkURngiGTyZDJZGIkM1CeonuxhCBIwr/do6iysrIexRJutxuNRoPb7SY1NZV58+ZhMBjESKp3sYRWq8Xr9Y5ayfmVEHqg4uPjI8p/T6C2thaXyyX+bJ944gnUajWPPvroiJ1zMNMqAd5++20eeeQRamtrmTVrFs888wwbNmwYsfWNNaNhgzNRkERnEtO9WGLatGlMmzZtwOf7/X58Ph9Go5FVq1YxZ84cvv71r/cQqLNnz/bY5rNYLD2KJYRtvu4CFR8fLwqUTqdDJpP16NIPpVBiMF5nVVVVuFwu8vLyxk31X6h0dnZSXV1Nfn4+CoWCTz75hF/84hecOHFixPJpg51W+cknn3DLLbfw9NNP88///M8cPHiQ66+/nqKion4j+kjH5xu8pY1w3GRDKpmWCIvTp09z9dVX91twIPxa2e32PnNQQlQlbPsJxRI+n4/Y2FiSkpLExt3+oiidTidGXILX2ZWsY6xWKzU1NSxdulTsqYoUvF4vx48fJzU1lezsbCwWC8uXL+f+++9n+/btI3bewU6r3LhxIzabjffee0+8b/ny5eTl5UXEmILBIJRM/8vD1ai1g+/vcjktvPHkDKlkWkLiSixYsGDAx4WLueBhdqWBc0KXfXt7e7/FEtXV1T2iKIfDIVYMdi+WEARKqOgTRKqtrY3y8nJWr17N8ePH+y057y+yGmuBOnfuHEqlUnwvd+7cSVZW1oiOHw5nWuWxY8cuE8F169bx7rvvjtg6xxoppxM6kuhIjAuELvu0tLQrWqUI++dWq/UyZwkhJyUIlCBSRqMRCJSNv/feez2iqIGKJUaj5DwU2tvbaWhoEEu7P/jgA/7whz9w+vTpES3MCGdaZVNTU5/PH8jsU2LyIImORMQhFEsIUUwoxRI7d+7k448/Zs+ePZhMpsuiqPLy8h5RlNvtRqvV9unP1zuK0ul0REVFicUSfr8/5JLzUBp33W43Z8+eZfbs2cTExNDa2sq9997Lvn37IrIQYiIiRTqhI4mOxIRGuJg/9thj2O12EhMTB3y+UCxhNptFYbqSQHV2diKTyUhMTByUP58wYrv3SANhO0/4t6GhgaioKPx+Pzabje9+97tcc801/Mu//MuIv3/hTKtMS0uL+OmWg8VHmJNDkURHQmJCEqqDs0wmQ6FQiFtvc+fO7fe5QhTlcDj6LZZoaGiguLi4h7OE1+tFp9OJxRL9+fPFxcVRWFiIRqNh5cqVrFu3jgsXLiCTycjKyuLzn/88S5YsYe/evcP2PvVGrR78tMoVK1Zw5MiRHrmmw4cPs2LFihFb51gjRTqhI4mOhESYCFFUdHQ0mZmZZGZmDvh8wZ9voGKJ2tpaUaCamppwOp3I5XJSUlKIi4tDoVCwZ88err76apqbm0dl7MVgp1U+8MADrFq1ij179vDlL3+Z3/zmN5w8eZJf/vKXI77WsULq0wkdSXQkJEYJwZ8vNTX1skR7b/x+P9/+9rdxuVw8/PDDNDU1cfHiRf72t7/xwAMPjNKKAwx2WuXKlSs5ePAgDz/8MD/4wQ+YNWsW77777oTt0ZEYHFKfjoTEOMXpdOL1eiUvtXGM0Kfz9R0VqDSD79Nxd1n43Z4cqU9HQkJi7Ik0E9LJjJTTCR1JdCQkJCSGiJTTCZ2xt/uVkJCQ6IN33nmHjRs3MmPGDKKjo5kzZw47duygo6NjrJd2GX6fL+zbZEMSHQmJSc5LL71EZmYmWq2WgoIC/vGPf/T73AMHDojNucJtpLYBN2/eTHl5Obfddhv79u1j/fr1/OxnP2PFihU4HI4ROWe4+Hz+sG+TDWl7TUJiEjNYB2mAuLg4Kisrxa9HypPu97//PatXr+5x35IlS7j99tt56623uPvuu0fkvBIjixTpSEhMYn7yk5+wadMm7rzzTubOncv+/fuJjo7m17/+db/HyGQy0SMvLS3tiuXffVFbW3tZxNT9BlwmOAA33HADAOXl5YM+50gi5HTCuU02pEhHQmKSEo6DNIDVauWqq67C5/OxePFifvzjH3P11VcP6tzJycm88cYbPe5zu91s27YNtVrd73GCaWhSUtKgzjfSSNVroSOJjoTEJCUcB+k5c+bw61//mgULFmA2m3n++edZuXIlZ8+eZerUqSGfOyYmhttuu63Hfffeey9Wq5XDhw/3e9wzzzyDQqHgpptuCvlco4EkOqETMdtrf/vb3/jKV75CRkYGMpkspNkcf/3rX1m8eDEajYaZM2dy4MCBEV+nhMREZsWKFXzrW98iLy+PVatW8c4775CcnMwvfvGLIb3u66+/zssvv8yzzz7LF7/4xT6fc/DgQV599VV27NjBrFmzhnS+4caHD58/jBtS9dq4xWazsXDhQl566aWQnl9TU8OXv/xlvvjFL1JcXMzWrVu5++67+fDDD0d4pRISkUE4DtK9UalULFq0iPPnz4e9juLiYrZs2cItt9zS7wTUv//979x1112sW7eOp556KuxzjRR+32fRzuBuY73y0Sditteuu+46rrvuupCfv3//frKystizZw8Aubm5fPzxx7zwwgusW7dupJYpIRExhOMg3Ruv10tpaSkbNmwIaw0mk4kbb7yR2bNn86tf/arP55SUlPDVr36VefPm8fvf/35UTE4lRo6IiXQGy7Fjx1i7dm2P+9atWzdgglRCYrKxfft2XnnlFV577TXKy8u55557LnOQ7l5o8KMf/Yj/+Z//obq6mqKiIm677TYuXLgQVvmyz+fj1ltvpaOjgz/84Q9ER0df9pyqqirWr19PSkoKH3zwATqdLvxvdgQJL8oJLw8U6UxY0elvZG5nZ+eoNJaN14Y7CYnubNy4keeff57du3eTl5dHcXHxZQ7SjY2N4vNNJhObNm0iNzeXDRs20NnZySeffDLg3KH+ePzxx/nwww/5j//4D7Kysi57vKmpiS996UvI5XI+/PBDkpOTw/9GRxipZDp0pDh1BBjPDXcSEr257777+t1O++tf/9rj6xdeeIEXXnhhyOcsLS3liSee4Atf+AItLS28+eabPR6/7bbbWL9+PdXV1Tz44IN8/PHHfPzxx+LjqampXHvttUNex3Dh8/nwhWFpE84xkc6EFZ3+RubGxcWFNEFyKHRvuINAfun999/n17/+NTt37uzzGKHhTkJiMtDe3o7f7+fo0aMcPXr0ssdvu+02SkpKAHj22Wcve3zVqlXjSnSkkunQmbDba8LI3O6MxshcoeGuez5pMA1306ZN42tf+xpnz54d0XVKSIwlq1evvuKW00CP947Axhq/3xf2bbIRMaJjtVopLi6muLgYCJREFxcXU1dXB8CuXbv41re+JT5/y5YtYmheUVHByy+/zO9+9zu2bds2ouscqOFO6KbujdBw98c//pE333wTn8/HypUrqa+vH9G1dmcwOSiAt99+m5ycHLRaLfPnz+eDDz4YpZVKSEhEMhEjOidPnmTRokUsWrQICFTdLFq0iN27dwPQ2NgoChBAVlYW77//PocPH2bhwoXs2bOHX/3qV+OyXHqkGu5CRchBPfrooxQVFbFw4ULWrVtHS0tLn8//5JNPuOWWW7jrrrs4deoU119/Pddffz1nzpwZlfVKSIw3pOq10IkY0ekvHBdcBg4cOHBZyL169WpOnTpFV1cXVVVV3HHHHSO+zvHScDcYBmv6uHfvXtavX8/3v/99cnNzeeKJJ1i8eDE/+9nPRmW9EldGcvAYZcIVHEl0JIZK94Y7AaHhLtR8ktBwl56ePlLLFAknByX1QI1/JAeP0SUsC5zgbbIhic4IMJYNd4MlnBxUfz1Q/T1/tDAajdx6663ExcURHx/PXXfdhdVqHfCY1atXX9YjtWXLllFa8chx3XXX8eSTT4qjAK5EdweP3Nxc7rvvPm666aZhKY+eDEjba6EzYUumx5KNGzfS2trK7t27aWpqIi8v77KGO7n8M70XGu6amppISEhgyZIlYTfcTWZuvfVWGhsbOXz4MG63mzvvvJPNmzdz8ODBAY/btGkTP/rRj8Sv++qMn+j0F71u3bp1bBYUYfj94Y2enozVa5LojBBj0XAXDuHkoPrrgRrLPqPy8nIOHTrEiRMnyM/PB+CnP/0pGzZs4PnnnycjI6PfY6Ojoyd9j9SVHDxGurdNYvIgba9NcsLJQY1VD9RAHDt2jPj4eFFwANauXYtcLuf48eMDHvvWW2+RlJTEvHnz2LVrF3a7faSXKzHBkLbXQkcSHYlB56AeeOABDh06xJ49e6ioqOCxxx7j5MmTITsTjwRNTU2XWQwplUoMBsOAuaZvfvObvPnmm/zlL39h165dvPHGG5cNFxtJnnrqKVauXEl0dDTx8fEhHeP3+9m9ezfp6elERUWxdu1azp07N6R1jKWDx0RAag4NHWl7TWLQOaiVK1dy8OBBHn74YX7wgx8wa9Ys3n33XebNmzfsa9u5cyfPPPPMgM8pLy8P+/U3b94s/n/+/Pmkp6ezZs0aqqqqyM7ODvt1Q8XlcnHzzTezYsUKXn311ZCOefbZZ9m3bx+vvfYaWVlZPPLII6xbt46ysrKwjWJXrFhxWYPvWEevkYTPB74wopZJaL2GzD8ZbU4lIobW1lba29sHfM6MGTN488032bFjByaTSbzf4/Gg1Wp5++23Q67istls6HQ6Dh06NKqNxAcOHGDr1q10dHQM+Dy/309GRgY7duzge9/7HgBms5nU1FQOHDjAN77xDSDg4CH0eS1atIif/OQnfPGLX8RgMDB9+nR27drFpUuXeP3114FAyfS8efO49957+dd//Vc++ugjvvvd7/L++++Py4bq8UJnZyd6vZ7PffUwSlXMoI/3uG38739di9lsJi4ubgRWOP6QIh2JcU1ycnJIlvYrVqygo6ODwsJClixZAsBHH32Ez+ejoKAg5PMJNkuj0SMVDjU1NTQ1NfWoNNPr9RQUFHDs2DFRdE6ePNlj7LMwkfP222/nwIED/Tp4bNu2jb179zJ16tRx6+AxHpEMP0NHEh2JCUFubi7r169n06ZN7N+/H7fbzX333cc3vvENsXLt0qVLrFmzhtdff51ly5ZRVVXFwYMH2bBhA4mJiZw+fZpt27bxhS98gQULFozxd9Q3Qn7qSn1SgoNHf/TlNiA4eEhIjCRSIYHEhOGtt94iJyeHNWvWsGHDBq655hp++ctfio+73W4qKyvF6jS1Ws2f//xnvvSlL5GTk8OOHTu48cYb+dOf/jSkdezcufOyhtPet4qKiiGdQ2J8IRUShI4U6UhMGAwGw4CNoJmZmT0+/U+bNq3PWS5DZceOHVf0+ZsxY0ZYry30EzU3N/fYAmxubiYvLy+s15QYOtL2WuhIoiMhMcyEmocKh6ysLNLS0jhy5IgoMp2dnRw/fpx77rlnRM4pcWU8LktYjgRej20EVjO+kURHQmIMqaurw2g0UldXh9frFQsZZs6ciU6nAyAnJ4enn36aG264AZlMxtatW3nyySeZNWuWWDKdkZHB9ddfP3bfyCRFrVaTlpbGySNfD/s10tLSUKvVw7iq8Y0kOhISY8ju3bt57bXXxK+FeVF/+ctfWL16NQCVlZWYzWbxOQ8++CA2m43NmzfT0dHBNddcw6FDh8Lu0ZEIH61WS01NDS6XK+zXUKvVk+pnJ/XpSEhISEiMGlL1mkQPKisr2bZtGytXrkSr1SKTyaitrR3rZUlISEwQJNGR6MGxY8fYt28fFouF3NzcsV6OhITEBEMSHYkefPWrX6Wjo4PS0lJuvfXWsV6OhITEBEMSnUlEbW3tgA2LEOh1iY2NHeOVSkhITFSk6rVJRHJyMm+88UaP+9xuN9u2bZtUJZsSEhJjhyQ6k4iYmJjLZsXce++9WK1WDh8+PEarkpCQmExIojOJef3113n55ZfZs2dPD0diCQkJiZFCyulMUoqLi9myZQu33HKLaHsvISEhMdJIojMJMZlM3HjjjcyePZtf/epXY70cCQmJSYS0vTbJ8Pl83HrrrXR0dPDnP/+Z6OjosV6ShITEJEISnUnG448/zocffsh///d/k5WVNdbLkZCQmGT8f4ZY9rurDHFfAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "r = 1\n", + "pi = np.pi\n", + "cos = np.cos\n", + "sin = np.sin\n", + "phi, theta = np.mgrid[0.0:pi:100j, 0.0:2.0*pi:100j]\n", + "x = r*sin(phi)*cos(theta)\n", + "y = r*sin(phi)*sin(theta)\n", + "z = r*cos(phi)\n", + "\n", + "plt.rcParams['figure.figsize'] = (5,4)\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111, projection='3d')\n", + "\n", + "ax.plot_surface(\n", + " x, y, z, rstride=2, cstride=2, color='c', alpha=0.1, linewidth=100,antialiased=False)\n", + "\n", + "ax.plot([0,state_centers[0,0]],[0,state_centers[0,1]],[0,state_centers[0,2]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[1,0]],[0,state_centers[1,1]],[0,state_centers[1,2]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[2,0]],[0,state_centers[2,1]],[0,state_centers[2,2]],linewidth=2,color='black',linestyle='--')\n", + "ax.plot([0,state_centers[3,0]],[0,state_centers[3,1]],[0,state_centers[3,2]],linewidth=2,color='black',linestyle='--')\n", + "\n", + "c = ax.scatter(features[:,0],features[:,1],features[:,2],c=ood_scores[:],s=1,alpha=1,cmap='coolwarm')\n", + "\n", + "cb = fig.colorbar(c)\n", + "cb.ax.tick_params(labelsize=10,length=3,width=1.5)\n", + "cb.set_label('ood scores',fontsize=10)\n", + "\n", + "ax.set_xlim([-1,1])\n", + "ax.set_ylim([-1,1])\n", + "ax.set_zlim([-1,1])\n", + "ax.set_xticks([-1,-0.5,0,0.5,1])\n", + "ax.set_yticks([-1,-0.5,0,0.5,1])\n", + "ax.set_zticks([-1,-0.5,0,0.5,1],[-1,-0.5,0,0.5,1])\n", + "ax.set_aspect(\"equal\")\n", + "ax.tick_params(axis=\"both\",labelsize=10,direction='out',length=7.5,width=2.5)\n", + "\n", + "ax.set_xlabel('z1',fontsize=12)\n", + "ax.set_ylabel('z2',fontsize=12)\n", + "ax.set_zlabel('z3',fontsize=12)\n", + "\n", + "ax.view_init(elev=15., azim=105)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ts-dart", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..f298ae8 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,5 @@ +[build-system] +requires = ["setuptools", + "wheel" + ] +build-backend = "setuptools.build_meta" \ No newline at end of file diff --git a/scripts/train_tsdart.py b/scripts/train_tsdart.py new file mode 100644 index 0000000..9739b93 --- /dev/null +++ b/scripts/train_tsdart.py @@ -0,0 +1,203 @@ +import argparse +import pprint +import os +import glob +from datetime import datetime + +import numpy as np +import torch +import torch.nn as nn + +from torch.utils.data.dataloader import DataLoader +from torch.utils.data import random_split + +from tsdart.utils import set_random_seed +from tsdart.model import TSDART, TSDARTLayer, TSDARTModel, TSDARTEstimator +from tsdart.dataprocessing import Preprocessing + +parser = argparse.ArgumentParser(description='Training with TS-DART') + +parser.add_argument('--seed', default=1, type=int, help='random seed') +parser.add_argument('--device', default='cpu', type=str, help='train the model with gpu or cpu') + +parser.add_argument('--lag_time', type=int, help='the lag time used to create transition pairs', required=True) + +parser.add_argument('--encoder_sizes', nargs='+', type=int, help='the size of each layer in TS-DART encoder, the size of the last layer represents feat_dim', required=True) +parser.add_argument('--feat_dim', type=int, help='the dimensionality of latent space ((d-1)-hypersphere)', required=True) +parser.add_argument('--n_states', type=int, help='the number of metastable states to consider', required=True) + +parser.add_argument('--beta', default=0.01, type=float, help='the weight of dispersion loss') +parser.add_argument('--gamma', default=1, type=float, help='the radius of hypersphere') +parser.add_argument('--proto_update_factor', default=0.5, type=float, help='the update factor to compute state center vectors in EMA algorithm') +parser.add_argument('--scaling_temperature', default=0.1, type=float, help='the scaling factor in despersion loss') + +parser.add_argument('--optimizer', default='Adam', type=str, help='the optimizer to train the model') +parser.add_argument('--learning_rate', default=1e-3, type=float, help='the learning rate to training the model') + +parser.add_argument('--pretrain', default=10, type=int, help='the number of pretraining epochs with pure VAMP-2 loss optimization') +parser.add_argument('--n_epochs', default=20, type=int, help='the total number of training epochs with VAMP-2 and dispersion loss optimization') +parser.add_argument('--save_model_interval', default=None, type=int, help='save the model every save_epoch') + +parser.add_argument('--train_split', default=0.9, type=float, help='the ratio of training dataset size to full dataset size') +parser.add_argument('--train_batch_size', default=1000, type=int, help='the batch size in training dataloader') +parser.add_argument('--val_batch_size', default=None, type=int, help='the batch size in validation dataloader') + +parser.add_argument('--data_directory', type=str, help='the directory storing numpy files of trajectories', required=True) +parser.add_argument('--saving_directory', default='.', type=str, help='the saving directory of training results') + +args = parser.parse_args() + +state = {k: v for k, v in args._get_kwargs()} + +date_time = datetime.now().strftime("%m_%d_%H_%M") + +args.name = (f"{date_time}_tsdart_lr_{args.learning_rate}_bsz_{args.train_batch_size}_" + f"lag_time_{args.lag_time}_beta_{args.beta}_feat_dim_{args.feat_dim}_n_states_{args.n_states}_" + f"pretrain_{args.pretrain}_n_epochs_{args.n_epochs}") + +args.log_directory = args.saving_directory+"/{name}/logs".format(name=args.name) +args.model_directory = args.saving_directory+"/{name}/checkpoints".format(name=args.name) + +if not os.path.exists(args.model_directory): + os.makedirs(args.model_directory) +if not os.path.exists(args.log_directory): + os.makedirs(args.log_directory) + +with open(os.path.join(args.log_directory, 'train_args.txt'), 'w') as f: + f.write(pprint.pformat(state)) + +def main(): + + device = torch.device(args.device) + + data = [] + np_name_list = [] + for np_name in glob.glob(args.data_directory+'/*.npy'): + data.append(np.load(np_name)) + np_name_list.append(np_name.rsplit('/')[-1]) + + set_random_seed(args.seed) + + pre = Preprocessing(dtype=np.float32) + dataset = pre.create_dataset(lag_time=args.lag_time,data=data) + + val = int(len(dataset)*(1-args.train_split)) + train_data, val_data = random_split(dataset, [len(dataset)-val, val]) + + loader_train = DataLoader(train_data, batch_size=args.train_batch_size, shuffle=True) + if val == 0: + loader_val = DataLoader(train_data, batch_size=args.train_batch_size, shuffle=False) + else: + if args.val_batch_size is None or args.val_batch_size >= len(val_data): + loader_val = DataLoader(val_data, batch_size=len(val_data), shuffle=False) + else: + loader_val = DataLoader(val_data, batch_size=args.val_batch_size, shuffle=False) + + lobe = TSDARTLayer(args.encoder_sizes,n_states=args.n_states) + lobe = lobe.to(device=device) + + tsdart = TSDART(lobe=lobe, learning_rate=args.learning_rate, device=device, beta=args.beta, feat_dim=args.feat_dim, n_states=args.n_states, + pretrain=args.pretrain, save_model_interval=args.save_model_interval) + tsdart_model = tsdart.fit(loader_train, n_epochs=args.n_epochs, validation_loader=loader_val).fetch_model() + + validation_vamp = tsdart.validation_vamp + validation_dis = tsdart.validation_dis + validation_prototypes = tsdart.validation_prototypes + + training_vamp = tsdart.training_vamp + training_dis = tsdart.training_dis + + np.save((args.model_directory+'/validation_vamp.npy'),validation_vamp) + np.save((args.model_directory+'/validation_dis.npy'),validation_dis) + np.save((args.model_directory+'/validation_prototypes.npy'),validation_prototypes) + + np.save((args.model_directory+'/training_vamp.npy'),training_vamp) + np.save((args.model_directory+'/training_dis.npy'),training_dis) + + if args.save_model_interval is None: + torch.save(tsdart_model.lobe.state_dict(), args.model_directory+'/model_{}epochs.pytorch'.format(args.n_epochs)) + + hypersphere_embs = tsdart_model.transform(data=data,return_type='hypersphere_embs') + metastable_states = tsdart_model.transform(data=data,return_type='states') + softmax_probs = tsdart_model.transform(data=data,return_type='probs') + + tsdart_estimator = TSDARTEstimator(tsdart_model) + ood_scores = tsdart_estimator.fit(data).ood_scores + state_centers = tsdart_estimator.fit(data).state_centers + + dir1 = args.model_directory+'/model_{}epochs_hypersphere_embs'.format(args.n_epochs) + dir2 = args.model_directory+'/model_{}epochs_metastable_states'.format(args.n_epochs) + dir3 = args.model_directory+'/model_{}epochs_softmax_probs'.format(args.n_epochs) + dir4 = args.model_directory+'/model_{}epochs_ood_scores'.format(args.n_epochs) + dir5 = args.model_directory+'/model_{}epochs_state_centers'.format(args.n_epochs) + + if not os.path.exists(dir1): + os.makedirs(dir1) + if not os.path.exists(dir2): + os.makedirs(dir2) + if not os.path.exists(dir3): + os.makedirs(dir3) + if not os.path.exists(dir4): + os.makedirs(dir4) + if not os.path.exists(dir5): + os.makedirs(dir5) + + np.save((dir5+'/state_centers.npy'),state_centers) + + if len(np_name_list) == 1: ### hypersphere_embs etc. is numpy array + np.save((dir1+'/hypersphere_embs_'+np_name_list[0]),hypersphere_embs) + np.save((dir2+'/metastable_states_'+np_name_list[0]),metastable_states) + np.save((dir3+'/softmax_probs_'+np_name_list[0]),softmax_probs) + np.save((dir4+'/ood_scores_'+np_name_list[0]),ood_scores) + else: + for k in range(len(np_name_list)): ### hypersphere_embs etc. is list of numpy arrays + np.save((dir1+'/hypersphere_embs_'+np_name_list[k]),hypersphere_embs[k]) + np.save((dir2+'/metastable_states_'+np_name_list[k]),metastable_states[k]) + np.save((dir3+'/softmax_probs_'+np_name_list[k]),softmax_probs[k]) + np.save((dir4+'/ood_scores_'+np_name_list[k]),ood_scores[k]) + + else: + for i in range(len(tsdart._save_models)): + torch.save(tsdart._save_models[i].lobe.state_dict(), args.model_directory+'/model_{}epochs.pytorch'.format((i+1)*args.save_model_interval)) + + hypersphere_embs = tsdart._save_models[i].transform(data=data,return_type='hypersphere_embs') + metastable_states = tsdart._save_models[i].transform(data=data,return_type='states') + softmax_probs = tsdart._save_models[i].transform(data=data,return_type='probs') + + tsdart_estimator = TSDARTEstimator(tsdart._save_models[i]) + ood_scores = tsdart_estimator.fit(data).ood_scores + state_centers = tsdart_estimator.fit(data).state_centers + + dir1 = args.model_directory+'/model_{}epochs_hypersphere_embs'.format((i+1)*args.save_model_interval) + dir2 = args.model_directory+'/model_{}epochs_metastable_states'.format((i+1)*args.save_model_interval) + dir3 = args.model_directory+'/model_{}epochs_softmax_probs'.format((i+1)*args.save_model_interval) + dir4 = args.model_directory+'/model_{}epochs_ood_scores'.format((i+1)*args.save_model_interval) + dir5 = args.model_directory+'/model_{}epochs_state_centers'.format((i+1)*args.save_model_interval) + + if not os.path.exists(dir1): + os.makedirs(dir1) + if not os.path.exists(dir2): + os.makedirs(dir2) + if not os.path.exists(dir3): + os.makedirs(dir3) + if not os.path.exists(dir4): + os.makedirs(dir4) + if not os.path.exists(dir5): + os.makedirs(dir5) + + np.save((dir5+'/state_centers.npy'),state_centers) + + if len(np_name_list) == 1: ### hypersphere_embs etc. is numpy array + np.save((dir1+'/hypersphere_embs_'+np_name_list[0]),hypersphere_embs) + np.save((dir2+'/metastable_states_'+np_name_list[0]),metastable_states) + np.save((dir3+'/softmax_probs_'+np_name_list[0]),softmax_probs) + np.save((dir4+'/ood_scores_'+np_name_list[0]),ood_scores) + else: + for k in range(len(np_name_list)): ### hypersphere_embs etc. is list of numpy arrays + np.save((dir1+'/hypersphere_embs_'+np_name_list[k]),hypersphere_embs[k]) + np.save((dir2+'/metastable_states_'+np_name_list[k]),metastable_states[k]) + np.save((dir3+'/softmax_probs_'+np_name_list[k]),softmax_probs[k]) + np.save((dir4+'/ood_scores_'+np_name_list[k]),ood_scores[k]) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/scripts/train_tsdart.sh b/scripts/train_tsdart.sh new file mode 100644 index 0000000..1084be1 --- /dev/null +++ b/scripts/train_tsdart.sh @@ -0,0 +1,18 @@ +python ./ts-dart/scripts/train_tsdart.py \ + --seed 1 \ + --device 'cpu' \ + --lag_time 10 \ + --encoder_sizes 2 20 20 20 10 2 \ + --feat_dim 2 \ + --n_states 2 \ + --beta 0.01 \ + --gamma 1 \ + --proto_update_factor 0.5 \ + --scaling_temperature 0.1 \ + --learning_rate 0.001 \ + --pretrain 10 \ + --n_epochs 20 \ + --train_split 0.9 \ + --train_batch_size 1000 \ + --data_directory ./ts-dart/data \ + --saving_directory . \ No newline at end of file diff --git a/setup.py b/setup.py new file mode 100644 index 0000000..8cad887 --- /dev/null +++ b/setup.py @@ -0,0 +1,31 @@ +from setuptools import setup, find_packages +import re + +install_requires = ["numpy","scipy","torch","tqdm"] +_extras_require = ["matplotlib","scikit-learn","jupyter"] +extras_require = {b: a for a, b in (re.findall(r"^(([^!=<>~]+)(?:[!=<>~].*)?$)", x)[0] for x in _extras_require)} + +CLASSIFIERS = """\ +Intended Audience :: Science/Research +License :: OSI Approved :: MIT License +Programming Language :: Python :: 3 +Programming Language :: Python :: 3.9 +Programming Language :: Python :: 3.10 +Topic :: Scientific/Engineering +Topic :: Artificial Intelligence +""" + +setup( + name ='tsdart', + version = '1.0.0', + python_requires = '>=3.9.0', + install_requires = install_requires, + extras_require = extras_require, + description = 'TS-DART for identifying transition state structures of biomolecular conformational dynamics', + long_description = open("README.md", "r", encoding="utf-8").read(), + license = 'MIT', + author = 'Bojun Liu', + author_email = 'bliu293@wisc.edu', + packages = find_packages(), + classifiers = CLASSIFIERS.splitlines() +) \ No newline at end of file diff --git a/tsdart/__init__.py b/tsdart/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tsdart/dataprocessing.py b/tsdart/dataprocessing.py new file mode 100644 index 0000000..2ab8e84 --- /dev/null +++ b/tsdart/dataprocessing.py @@ -0,0 +1,53 @@ +import numpy as np + +class Preprocessing: + + def __init__(self, dtype=np.float32): + + self._dtype = dtype + + def _seq_trajs(self, data): + + data = data.copy() + if not isinstance(data, list): + data = [data] + for i in range(len(data)): + data[i] = data[i].astype(self._dtype) + + return data + + def transform2pw(self, data): + + data = self._seq_trajs(data) + + if not (len(data[0].shape) == 3 and data[0].shape[-1] == 3): + raise ValueError('Please make sure the shape of each traj is [num_frames,num_atoms,3]') + + num_trajs = len(data) + num_atoms = data[0].shape[1] + + pw_data = [] + for traj in range(num_trajs): + tmp = [] + for i in range(num_atoms-1): + for j in range(i+1, num_atoms): + dist = np.sqrt(np.sum((data[traj][:,i,:] - data[traj][:,j,:])**2, axis=-1)) + tmp.append(dist) + pw_data.append(np.stack(tmp,axis=1)) + + return pw_data if num_trajs > 1 else pw_data[0] + + def create_dataset(self, data, lag_time): + + data = self._seq_trajs(data) + + num_trajs = len(data) + dataset = [] + for k in range(num_trajs): + L_all = data[k].shape[0] + L_re = L_all - lag_time + for i in range(L_re): + dataset.append((data[k][i,:], data[k][i+lag_time,:])) + + return dataset + \ No newline at end of file diff --git a/tsdart/loss.py b/tsdart/loss.py new file mode 100644 index 0000000..dd13070 --- /dev/null +++ b/tsdart/loss.py @@ -0,0 +1,140 @@ +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +from .utils import estimate_koopman_matrix + +class VAMPLoss(nn.Module): + + def __init__(self, epsilon=1e-6, mode='regularize', symmetrized=False): + super(VAMPLoss, self).__init__() + + self._score = None + self._score_list = [] + + self._epsilon = epsilon + self._mode = mode + self._symmetrized = symmetrized + + def forward(self, data): + assert len(data) == 2 + + koopman = estimate_koopman_matrix(data[0], data[1], epsilon=self._epsilon, mode=self._mode, symmetrized=self._symmetrized) + self._score = torch.pow(torch.norm(koopman, p='fro'), 2) + 1 + + return -self._score + + def save(self): + with torch.no_grad(): + self._score_list.append(self._score) + return self + + def clear(self): + self._score_list = [] + return self + + def output_mean_score(self): + mean_score = torch.mean(torch.stack(self._score_list)) + return mean_score + +class DisLoss(nn.Module): + + def __init__(self, feat_dim, n_states, device, proto_update_factor=0.5, scaling_temperature=0.1): + super(DisLoss, self).__init__() + + self._score = None + self._score_list = [] + + self.register_buffer("prototypes", torch.zeros(n_states, feat_dim)) + self.n_states = n_states + self.device = device + self.proto_update_factor = proto_update_factor + self.scaling_temperature = scaling_temperature + + def forward(self, features, labels): + + prototypes = self.prototypes.to(device=self.device) + for i in range(len(labels)): + prototypes[labels[i].item()] = F.normalize((self.proto_update_factor*prototypes[labels[i].item()] + (1-self.proto_update_factor)*features[i]), dim=0) + self.prototypes = prototypes.detach() + + logits = torch.div(torch.matmul(prototypes,prototypes.T),self.scaling_temperature) + proxy_labels = torch.arange(0, self.n_states).to(device=self.device) + proxy_labels = proxy_labels.contiguous().view(-1, 1) + mask = (1- torch.eq(proxy_labels, proxy_labels.T).float()).to(device=self.device) + + mean_prob_neg = torch.log((mask * torch.exp(logits)).sum(1) / mask.sum(1)) + mean_prob_neg = mean_prob_neg[~torch.isnan(mean_prob_neg)] + loss = mean_prob_neg.mean() + self._score = loss + + return loss if not torch.isnan(loss) else 0 + + def save(self): + with torch.no_grad(): + self._score_list.append(self._score) + return self + + def clear(self): + self._score_list = [] + return self + + def output_mean_score(self): + mean_score = torch.mean(torch.stack(self._score_list)) + return mean_score + +class Prototypes(nn.Module): + + def __init__(self, n_states, device, scaling_temperature=0.1): + super(Prototypes,self).__init__() + + self._proto_list = [] + self._disloss_list = [] + + self.n_states = n_states + self.device = device + self.scaling_temperature = scaling_temperature + + def forward(self, features, labels): + with torch.no_grad(): + proxy_labels = torch.arange(0, self.n_states).to(device=self.device) + labels = labels.contiguous().view(-1, 1) + mask = torch.eq(labels, proxy_labels).float().to(device=self.device) + # [d,N] * [N,n_states] + prototypes = torch.matmul(features.T, mask).T + for i in range(self.n_states): + # if prototypes.any() == 0: + # continue + prototypes[i] = F.normalize(prototypes[i],dim=0) + + logits = torch.div(torch.matmul(prototypes,prototypes.T),self.scaling_temperature) + proxy_labels = torch.arange(0, self.n_states).to(device=self.device) + proxy_labels = proxy_labels.contiguous().view(-1, 1) + mask = (1- torch.eq(proxy_labels, proxy_labels.T).float()).to(device=self.device) + + mean_prob_neg = torch.log((mask * torch.exp(logits)).sum(1) / mask.sum(1)) + mean_prob_neg = mean_prob_neg[~torch.isnan(mean_prob_neg)] + disloss = mean_prob_neg.mean() + #disloss = disloss if not torch.isnan(disloss) else 0 + + self._proto_list.append(prototypes) + self._disloss_list.append(disloss) + + return prototypes + + def clear(self): + self._proto_list = [] + self._disloss_list = [] + return self + + def output_mean_prototypes(self): + mean_prototypes = torch.mean(torch.stack(self._proto_list),dim=0) + for i in range(self.n_states): + if mean_prototypes.any() == 0: + continue + mean_prototypes[i] = F.normalize(mean_prototypes[i],dim=0) + return mean_prototypes + + def output_mean_disloss(self): + mean_disloss = torch.mean(torch.stack(self._disloss_list)) + return mean_disloss if not torch.isnan(mean_disloss) else 0 diff --git a/tsdart/model.py b/tsdart/model.py new file mode 100644 index 0000000..9925d90 --- /dev/null +++ b/tsdart/model.py @@ -0,0 +1,266 @@ +import numpy as np +import torch +import torch +import torch.nn as nn +import torch.nn.functional as F +from tqdm import * +from .loss import VAMPLoss, DisLoss, Prototypes +from .utils import map_data + +class TSDARTLayer(nn.Module): + + def __init__(self, layer_sizes:list, n_states:int, scale=1): + super().__init__() + + self.hypersphere_embs = None + self.logits = None + self.probs = None + + self.scale = scale + self.n_states = n_states + + encoder = [nn.BatchNorm1d(layer_sizes[0])] + for i in range(len(layer_sizes)-1): + encoder.append(nn.Linear(layer_sizes[i],layer_sizes[i+1])) + encoder.append(nn.ReLU()) if i<(len(layer_sizes)-2) else None + # note that the last element in layer_sizes represent the latent dimension (feat_dim). + + self.encoder = nn.Sequential(*encoder) + self.lt = nn.Sequential(nn.Linear(layer_sizes[-1],n_states,bias=True)) + self.sf = nn.Softmax(dim=-1) + + def forward(self, x): + + self.hypersphere_embs = self.encoder(x) + self.hypersphere_embs = self.scale*self.hypersphere_embs/(torch.sqrt(torch.sum(self.hypersphere_embs**2,dim=-1,keepdim=True))) + self.logits = self.lt(self.hypersphere_embs) + self.probs = self.sf(self.logits) + + return self.probs + +class TSDARTModel: + + def __init__(self, lobe, device=None, dtype=np.float32): + + self._lobe = lobe + if dtype == np.float32: + self._lobe = self._lobe.float() + elif dtype == np.float64: + self._lobe = self._lobe.double() + + self._dtype = dtype + self._device = device + + @property + def lobe(self): + return self._lobe + + def transform(self, data, return_type='probs'): + ### return_type: 'probs' or 'states' 'hypersphere_embs' + self._lobe.eval() + net = self._lobe + + probs = [] + states = [] + hypersphere_embs = [] + for data_tensor in map_data(data, device=self._device, dtype=self._dtype): + probs.append(net(data_tensor).cpu().numpy()) + states.append(np.argmax(probs[-1],axis=-1)) + hypersphere_embs.append(net.hypersphere_embs.cpu().numpy()) + + if return_type == 'probs': + return probs if len(probs) > 1 else probs[0] + elif return_type == 'states': + return states if len(states) > 1 else states[0] + elif return_type == 'hypersphere_embs': + return hypersphere_embs if len(hypersphere_embs) > 1 else hypersphere_embs[0] + else: + raise ValueError('Valid return types: probs, states, hypersphere_embs') + +class TSDART: + def __init__(self, lobe, optimizer='Adam', device=None, learning_rate=1e-3, + epsilon=1e-6, mode='regularize', symmetrized=False, dtype=np.float32, + feat_dim=2, n_states=4, proto_update_factor=0.5, scaling_temperature=0.1, beta=0.01, + save_model_interval=None, pretrain=0, print=False): + + self._lobe = lobe + self._device = device + self._learning_rate = learning_rate + self._epsilon = epsilon + self._mode = mode + self._symmetrized = symmetrized + self._dtype = dtype + self._feat_dim = feat_dim + self._n_states = n_states + self._proto_update_factor = proto_update_factor + self._scaling_temperature = scaling_temperature + self._beta = beta + self._save_model_interval = save_model_interval + self._pretrain = pretrain + if self._dtype == np.float32: + self._lobe = self._lobe.float() + elif self._dtype == np.float64: + self._lobe = self._lobe.double() + self._step = 0 + self._epoch = 0 + self._save_models = [] + self._print = print + self.optimizer_types = {'Adam': torch.optim.Adam, 'SGD': torch.optim.SGD, 'RMSprop': torch.optim.RMSprop} + if optimizer not in self.optimizer_types.keys(): + raise ValueError(f"Unknown optimizer type, supported types are {self.optimizer_types.keys()}") + else: + self._optimizer = self.optimizer_types[optimizer](self._lobe.parameters(), lr=learning_rate) + self._training_vamp = [] + self._training_dis = [] + self._validation_vamp = [] + self._validation_dis = [] + self._validation_prototypes = [] + self._vamploss = VAMPLoss(epsilon=self._epsilon, mode=self._mode, symmetrized=self._symmetrized) + self._disloss = DisLoss(feat_dim=feat_dim,n_states=n_states,device=device,proto_update_factor=proto_update_factor,scaling_temperature=scaling_temperature) + self._proto = Prototypes(n_states=n_states,device=device,scaling_temperature=scaling_temperature) + + @property + def training_vamp(self): + return np.array(self._training_vamp) + + @property + def training_dis(self): + return np.array(self._training_dis) + + @property + def validation_vamp(self): + return np.array(self._validation_vamp) + + @property + def validation_dis(self): + return np.array(self._validation_dis) + + @property + def validation_prototypes(self): + return np.array(self._validation_prototypes) + + def partial_fit(self, data): + + batch_0, batch_1 = data[0], data[1] + self._lobe.train() + self._optimizer.zero_grad() + x_0 = self._lobe(batch_0) + z_0 = self._lobe.hypersphere_embs + x_1 = self._lobe(batch_1) + labels_0 = torch.argmax(x_0,dim=-1).detach() + lv = self._vamploss([x_0,x_1]) + if self._epoch >= self._pretrain: + ld = self._disloss(z_0,labels_0) + loss = lv + self._beta*ld + else: + ld = torch.tensor(0.) + loss = lv + loss.backward() + self._optimizer.step() + self._training_vamp.append((-lv).item()) + self._training_dis.append((ld).item()) + self._step += 1 + + return self + + def validate(self, val_data): + + batch_0, batch_1 = val_data[0], val_data[1] + self._lobe.eval() + with torch.no_grad(): + x_0 = self._lobe(batch_0) + z_0 = self._lobe.hypersphere_embs + x_1 = self._lobe(batch_1) + labels_0 = torch.argmax(x_0,dim=-1).detach() + _ = self._proto(z_0,labels_0) + _ = self._vamploss([x_0,x_1]) + self._vamploss.save() + + return None + + def fit(self, train_loader, n_epochs=1, validation_loader=None, progress=tqdm): + + for epoch in progress(range(n_epochs), desc="epoch", total=n_epochs, leave=False): + for batch_0, batch_1 in train_loader: + self.partial_fit((batch_0.to(device=self._device), batch_1.to(device=self._device))) + if validation_loader is not None: + with torch.no_grad(): + for val_batch_0, val_batch_1 in validation_loader: + self.validate((val_batch_0.to(device=self._device), val_batch_1.to(device=self._device))) + mean_vamp = self._vamploss.output_mean_score() + mean_dis = self._proto.output_mean_disloss() + mean_prototypes = self._proto.output_mean_prototypes() + self._validation_vamp.append(mean_vamp.item()) + self._validation_dis.append(mean_dis.item()) + self._validation_prototypes.append(mean_prototypes.cpu().numpy()) + self._vamploss.clear() + self._proto.clear() + if self._print: + print(epoch, mean_vamp.item(), mean_dis.item()) + if self._save_model_interval is not None: + if (epoch + 1) % self._save_model_interval == 0: + self._save_models.append(self.fetch_model()) + + self._epoch = self._epoch+1 + + if self._epoch == self._pretrain and validation_loader is not None: + self._disloss.prototypes = mean_prototypes + + return self + + def fetch_model(self): + + from copy import deepcopy + lobe = deepcopy(self._lobe) + + return TSDARTModel(lobe, device=self._device, dtype=self._dtype) + +class TSDARTEstimator: + + def __init__(self, tsdart_model: TSDARTModel): + + self._model = tsdart_model + self._state_centers = None + self._ood_scores = None + self._is_fitted = False + + @property + def state_centers(self): + if not self._is_fitted: + raise ValueError('Please fit the model first') + else: + return self._state_centers + + @property + def ood_scores(self): + if not self._is_fitted: + raise ValueError('Please fit the model first') + else: + return self._ood_scores + + def fit(self, data): + + states = self._model.transform(data, return_type='states') + hypersphere_embs = self._model.transform(data, return_type='hypersphere_embs') + + if isinstance(data, (list, tuple)) and len(data) >= 2: + states_cat = np.concatenate(states) + hypersphere_embs_cat = np.concatenate(hypersphere_embs) + else: + states_cat = states + hypersphere_embs_cat = hypersphere_embs + + p = Prototypes(n_states=self._model.lobe.n_states,device='cpu') + self._state_centers = p(torch.from_numpy(hypersphere_embs_cat),torch.from_numpy(states_cat)).numpy() + + if isinstance(data, (list, tuple)) and len(data) >= 2: + self._ood_scores = [] + for i in range(len(data)): + self._ood_scores.append(-np.max(np.dot(hypersphere_embs[i],self._state_centers.T),axis=1)+1) + else: + self._ood_scores = -np.max(np.dot(hypersphere_embs,self._state_centers.T),axis=1)+1 + + self._is_fitted = True + + return self + \ No newline at end of file diff --git a/tsdart/utils.py b/tsdart/utils.py new file mode 100644 index 0000000..ef12ccc --- /dev/null +++ b/tsdart/utils.py @@ -0,0 +1,125 @@ +import numpy as np +import torch + +def set_random_seed(seed): + import random + import os + torch.manual_seed(seed) + torch.cuda.manual_seed(seed) + torch.cuda.manual_seed_all(seed) + torch.backends.cudnn.benchmark = False + torch.backends.cudnn.deterministic = True + random.seed(seed) + np.random.seed(seed) + os.environ['PYTHONHASHSEED'] = str(seed) + +def eig_decomposition(matrix, epsilon=1e-6, mode='regularize'): + + if mode == 'regularize': + identity = torch.eye(matrix.shape[0], dtype=matrix.dtype, device=matrix.device) + matrix = matrix + epsilon * identity + eigval, eigvec = torch.linalg.eigh(matrix) + eigval = torch.abs(eigval) + eigvec = eigvec.transpose(0, 1) # row -> column + + elif mode == 'trunc': + eigval, eigvec = torch.linalg.eigh(matrix) + eigvec = eigvec.transpose(0, 1) + mask = eigval > epsilon + eigval = eigval[mask] + eigvec = eigvec[mask] + + else: + raise ValueError('Mode is not included') + + return eigval, eigvec + +def eig_decomposition(matrix, epsilon=1e-6, mode='regularize'): + + if mode == 'regularize': + identity = torch.eye(matrix.shape[0], dtype=matrix.dtype, device=matrix.device) + matrix = matrix + epsilon * identity + eigval, eigvec = torch.linalg.eigh(matrix) + eigval = torch.abs(eigval) + eigvec = eigvec.transpose(0, 1) # row -> column + + elif mode == 'trunc': + eigval, eigvec = torch.linalg.eigh(matrix) + eigvec = eigvec.transpose(0, 1) + mask = eigval > epsilon + eigval = eigval[mask] + eigvec = eigvec[mask] + + else: + raise ValueError('Mode is not included') + + return eigval, eigvec + +def calculate_inverse(matrix, epsilon=1e-6, return_sqrt=False, mode='regularize'): + + eigval, eigvec = eig_decomposition(matrix, epsilon, mode) + + if return_sqrt: + diag = torch.diag(torch.sqrt(1. / eigval)) + else: + diag = torch.diag(1. / eigval) + + try: + # inverse = torch.chain_matmul(eigvec.t(), diag, eigvec) + inverse = torch.linalg.multi_dot((eigvec.t(), diag, eigvec)) + except: + inverse = torch.chain_matmul(eigvec.t(), diag, eigvec) + + return inverse + +def compute_covariance_matrix(x: torch.Tensor, y: torch.Tensor, remove_mean=True): + + batch_size = x.shape[0] + + if remove_mean: + x = x - x.mean(dim=0, keepdim=True) + y = y - y.mean(dim=0, keepdim=True) + + y_t = y.transpose(0, 1) + x_t = x.transpose(0, 1) + + cov_01 = 1 / (batch_size - 1) * torch.matmul(x_t, y) + cov_00 = 1 / (batch_size - 1) * torch.matmul(x_t, x) + cov_11 = 1 / (batch_size - 1) * torch.matmul(y_t, y) + + return cov_00, cov_01, cov_11 + +def estimate_koopman_matrix(data: torch.Tensor, data_lagged: torch.Tensor, epsilon=1e-6, mode='regularize', symmetrized=False): + + cov_00, cov_01, cov_11 = compute_covariance_matrix(data, data_lagged) + + if not symmetrized: + cov_00_sqrt_inverse = calculate_inverse(cov_00, epsilon=epsilon, return_sqrt=True, mode=mode) + cov_11_sqrt_inverse = calculate_inverse(cov_11, epsilon=epsilon, return_sqrt=True, mode=mode) + try: + koopman_matrix = torch.linalg.multi_dot((cov_00_sqrt_inverse, cov_01, cov_11_sqrt_inverse)).t() + except: + koopman_matrix = torch.chain_matmul(cov_00_sqrt_inverse, cov_01, cov_11_sqrt_inverse).t() + else: + cov_0 = 0.5*(cov_00+cov_11) + cov_1 = 0.5*(cov_01+cov_01.t()) + cov_0_sqrt_inverse = calculate_inverse(cov_0, epsilon=epsilon, return_sqrt=True, mode=mode) + try: + koopman_matrix = torch.linalg.multi_dot((cov_0_sqrt_inverse, cov_1, cov_0_sqrt_inverse)).t() + except: + koopman_matrix = torch.chain_matmul((cov_0_sqrt_inverse, cov_1, cov_0_sqrt_inverse)).t() + + return koopman_matrix + +def map_data(data, device=None, dtype=np.float32): + + with torch.no_grad(): + if not isinstance(data, (list, tuple)): + data = [data] + for x in data: + if isinstance(x, torch.Tensor): + x = x.to(device=device) + else: + x = torch.from_numpy(np.asarray(x, dtype=dtype).copy()).to(device=device) + yield x + \ No newline at end of file