diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml
index 94a78581..f0420fe4 100644
--- a/.github/workflows/main.yml
+++ b/.github/workflows/main.yml
@@ -28,7 +28,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: prefix-dev/setup-pixi@v0.8.0
         with:
-          pixi-version: v0.23.0
+          pixi-version: v0.29.0
           cache: true
           cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
           environments: test-cpu
@@ -48,7 +48,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: prefix-dev/setup-pixi@v0.8.0
         with:
-          pixi-version: v0.23.0
+          pixi-version: v0.29.0
           cache: true
           cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
           environments: mypy
@@ -62,7 +62,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: prefix-dev/setup-pixi@v0.8.0
         with:
-          pixi-version: v0.23.0
+          pixi-version: v0.29.0
           cache: true
           cache-write: ${{ github.event_name == 'push' && github.ref_name == 'main' }}
           environments: test-cpu
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f09e552b..c6c5559a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -6,7 +6,7 @@ repos:
       - id: check-useless-excludes
         # - id: identity  # Prints all files passed to pre-commits. Debugging.
   - repo: https://github.com/lyz-code/yamlfix
-    rev: 1.16.0
+    rev: 1.17.0
     hooks:
       - id: yamlfix
   - repo: https://github.com/pre-commit/pre-commit-hooks
@@ -46,7 +46,7 @@ repos:
     hooks:
       - id: yamllint
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.2
+    rev: v0.6.5
     hooks:
       # Run the linter.
       - id: ruff
@@ -74,5 +74,26 @@ repos:
           - --wrap
           - '88'
         files: (README\.md)
+  - repo: https://github.com/kynan/nbstripout
+    rev: 0.7.1
+    hooks:
+      - id: nbstripout
+        args:
+          - --drop-empty-cells
+          - --keep-output
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v1.11.2
+    hooks:
+      - id: mypy
+        files: src|tests
+        additional_dependencies:
+          - jax>=0.4.20
+          - numpy
+          - packaging
+          - pandas-stubs
+        args:
+          - --config=pyproject.toml
 ci:
   autoupdate_schedule: monthly
+  skip:
+    - mypy  # installing jax is not possible on pre-commit.ci due to size limits.
diff --git a/codecov.yml b/codecov.yml
index 740448d8..c01f5dab 100644
--- a/codecov.yml
+++ b/codecov.yml
@@ -14,5 +14,4 @@ coverage:
       default:
         target: 90%
 ignore:
-  - setup.py
   - tests/**/*
diff --git a/examples/long_running.py b/examples/long_running.py
index 52596fb1..9c54a5f0 100644
--- a/examples/long_running.py
+++ b/examples/long_running.py
@@ -1,19 +1,8 @@
 """Example specification for a consumption-savings model with health and exercise."""
 
 import jax.numpy as jnp
-from lcm import DiscreteGrid, LinspaceGrid, Model
-
-# ======================================================================================
-# Numerical parameters and constants
-# ======================================================================================
-N_GRID_POINTS = {
-    "wealth": 100,
-    "health": 100,
-    "consumption": 100,
-    "exercise": 200,
-}
 
-RETIREMENT_AGE = 65
+from lcm import DiscreteGrid, LinspaceGrid, Model
 
 # ======================================================================================
 # Model functions
@@ -63,6 +52,8 @@ def consumption_constraint(consumption, wealth, labor_income):
 # ======================================================================================
 # Model specification and parameters
 # ======================================================================================
+RETIREMENT_AGE = 65
+
 
 MODEL_CONFIG = Model(
     n_periods=RETIREMENT_AGE - 18,
@@ -80,24 +71,24 @@ def consumption_constraint(consumption, wealth, labor_income):
         "consumption": LinspaceGrid(
             start=1,
             stop=100,
-            n_points=N_GRID_POINTS["consumption"],
+            n_points=100,
         ),
         "exercise": LinspaceGrid(
             start=0,
             stop=1,
-            n_points=N_GRID_POINTS["exercise"],
+            n_points=200,
         ),
     },
     states={
         "wealth": LinspaceGrid(
             start=1,
             stop=100,
-            n_points=N_GRID_POINTS["wealth"],
+            n_points=100,
         ),
         "health": LinspaceGrid(
             start=0,
             stop=1,
-            n_points=N_GRID_POINTS["health"],
+            n_points=100,
         ),
     },
 )
diff --git a/explanations/dispatchers.ipynb b/explanations/dispatchers.ipynb
index f744223e..81aae290 100644
--- a/explanations/dispatchers.ipynb
+++ b/explanations/dispatchers.ipynb
@@ -12,13 +12,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import jax.numpy as jnp\n",
     "import pytest\n",
     "from jax import vmap\n",
+    "\n",
     "from lcm.dispatchers import productmap, spacemap, vmap_1d"
    ]
   },
@@ -33,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -52,7 +53,7 @@
        "Array([1.  , 1.25, 1.5 , 1.75, 2.  ], dtype=float32)"
       ]
      },
-     "execution_count": 3,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -77,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -86,7 +87,7 @@
        "Array([1.  , 1.25, 1.5 , 1.75, 2.  ], dtype=float32)"
       ]
      },
-     "execution_count": 4,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -97,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -117,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -126,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -135,7 +136,7 @@
        "Array([1.  , 1.25, 1.5 , 1.75, 2.  ], dtype=float32)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -156,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -166,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,7 +179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -187,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -202,7 +203,7 @@
        "        [ 2,  3,  4,  5]]], dtype=int32)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -214,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +224,7 @@
        "(2, 3, 4)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -269,7 +270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -307,11 +308,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from lcm.process_model import process_model\n",
+    "from lcm.input_processing import process_model\n",
     "from lcm.state_space import create_state_choice_space\n",
     "\n",
     "processed_model = process_model(model)\n",
@@ -335,7 +336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -344,7 +345,7 @@
        "{'wealth': Array([1., 2., 3., 4.], dtype=float32)}"
       ]
      },
-     "execution_count": 15,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -355,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -365,7 +366,7 @@
        " 'retirement': Array([0, 1, 1], dtype=int32)}"
       ]
      },
-     "execution_count": 16,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -376,7 +377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -431,7 +432,7 @@
        "2                  1           1"
       ]
      },
-     "execution_count": 17,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -497,7 +498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -506,7 +507,7 @@
        "{'segment_ids': Array([0, 0, 1], dtype=int32), 'num_segments': 2}"
       ]
      },
-     "execution_count": 18,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -539,7 +540,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -553,7 +554,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -562,7 +563,7 @@
        "{'wealth': Array([1., 2., 3., 4.], dtype=float32)}"
       ]
      },
-     "execution_count": 20,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -573,7 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -583,7 +584,7 @@
        " 'retirement': Array([0, 1, 1], dtype=int32)}"
       ]
      },
-     "execution_count": 21,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -594,7 +595,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -605,7 +606,7 @@
        "       [ 1. ,  2. ,  3. ,  4. ]], dtype=float32)"
       ]
      },
-     "execution_count": 22,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -621,7 +622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -630,7 +631,7 @@
        "(3, 4)"
       ]
      },
-     "execution_count": 23,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -648,7 +649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -659,7 +660,7 @@
        "       [ 1. ,  2. ,  3. ,  4. ]], dtype=float32)"
       ]
      },
-     "execution_count": 24,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -725,7 +726,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -734,7 +735,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -749,7 +750,7 @@
        "        [ 6.9914646,  7.9914646,  8.991465 ,  9.991465 ]]], dtype=float32)"
       ]
      },
-     "execution_count": 26,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -765,7 +766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -774,7 +775,7 @@
        "(2, 3, 4)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/explanations/function_representation.ipynb b/explanations/function_representation.ipynb
index 11f6cf33..0e89ddb5 100644
--- a/explanations/function_representation.ipynb
+++ b/explanations/function_representation.ipynb
@@ -72,11 +72,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import jax.numpy as jnp\n",
+    "\n",
     "from lcm import DiscreteGrid, LinspaceGrid, Model\n",
     "\n",
     "\n",
@@ -152,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -164,7 +165,7 @@
     }
    ],
    "source": [
-    "from lcm.process_model import process_model\n",
+    "from lcm.input_processing import process_model\n",
     "\n",
     "processed_model = process_model(model)"
    ]
@@ -182,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -191,7 +192,7 @@
        "<Signature (consumption, params, retirement, wealth)>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -247,7 +248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -256,7 +257,7 @@
        "dict_keys(['retirement', 'wealth', 'consumption'])"
       ]
      },
-     "execution_count": 5,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -267,7 +268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -299,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -308,7 +309,7 @@
        "(10,)"
       ]
      },
-     "execution_count": 7,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -320,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -329,7 +330,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -359,9 +360,9 @@
     {
      "data": {
       "text/html": [
-       "<div>                            <div id=\"ee2e11e0-d839-4811-97d3-3fbbb65d8209\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"ee2e11e0-d839-4811-97d3-3fbbb65d8209\")) {                    Plotly.newPlot(                        \"ee2e11e0-d839-4811-97d3-3fbbb65d8209\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"60fe0fbc-ebde-4865-a094-4ce4a6867a08\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"60fe0fbc-ebde-4865-a094-4ce4a6867a08\")) {                    Plotly.newPlot(                        \"60fe0fbc-ebde-4865-a094-4ce4a6867a08\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('ee2e11e0-d839-4811-97d3-3fbbb65d8209');\n",
+       "var gd = document.getElementById('60fe0fbc-ebde-4865-a094-4ce4a6867a08');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -437,7 +438,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -469,7 +470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -478,7 +479,7 @@
        "<Signature (vf_arr, wealth)>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -505,7 +506,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -527,7 +528,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -541,15 +542,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div>                            <div id=\"ed10f73f-6004-4675-b745-f6d0503432b9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"ed10f73f-6004-4675-b745-f6d0503432b9\")) {                    Plotly.newPlot(                        \"ed10f73f-6004-4675-b745-f6d0503432b9\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0,10.0,25.0,75.0,210.0,300.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164,0.7635518908500671,2.0361385345458984,4.2172088623046875,5.288441181182861,5.647712707519531],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"a035f6cb-0ca2-421a-bc40-631e8622b930\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"a035f6cb-0ca2-421a-bc40-631e8622b930\")) {                    Plotly.newPlot(                        \"a035f6cb-0ca2-421a-bc40-631e8622b930\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0,10.0,25.0,75.0,210.0,300.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164,0.7635518908500671,2.0361385345458984,4.2172088623046875,5.288441181182861,5.647712707519531],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('ed10f73f-6004-4675-b745-f6d0503432b9');\n",
+       "var gd = document.getElementById('a035f6cb-0ca2-421a-bc40-631e8622b930');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -623,15 +624,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div>                            <div id=\"cde660ad-b495-4800-83ab-b8bedcd07860\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"cde660ad-b495-4800-83ab-b8bedcd07860\")) {                    Plotly.newPlot(                        \"cde660ad-b495-4800-83ab-b8bedcd07860\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"line\":{\"color\":\"#4C78A8\"},\"mode\":\"lines\",\"name\":\"Linear interpolation\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0,10.0,25.0,75.0,210.0,300.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164,0.7635518908500671,2.0361385345458984,4.2172088623046875,5.288441181182861,5.647712707519531],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"da0545bd-fe5a-464a-b893-7443668c8585\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"da0545bd-fe5a-464a-b893-7443668c8585\")) {                    Plotly.newPlot(                        \"da0545bd-fe5a-464a-b893-7443668c8585\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"line\":{\"color\":\"#4C78A8\"},\"mode\":\"lines\",\"name\":\"Linear interpolation\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0,10.0,25.0,75.0,210.0,300.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164,0.7635518908500671,2.0361385345458984,4.2172088623046875,5.288441181182861,5.647712707519531],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('cde660ad-b495-4800-83ab-b8bedcd07860');\n",
+       "var gd = document.getElementById('da0545bd-fe5a-464a-b893-7443668c8585');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -719,7 +720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -728,7 +729,7 @@
        "<Signature (health)>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -742,7 +743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -751,7 +752,7 @@
        "3"
       ]
      },
-     "execution_count": 17,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -774,7 +775,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -783,7 +784,7 @@
        "Array([0.       , 4.4426513, 5.351858 ], dtype=float32)"
       ]
      },
-     "execution_count": 18,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -795,7 +796,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -804,7 +805,7 @@
        "<Signature (wealth_index, vf_arr)>"
       ]
      },
-     "execution_count": 19,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -818,7 +819,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -827,7 +828,7 @@
        "Array([0.       , 4.4426513, 5.351858 ], dtype=float32)"
       ]
      },
-     "execution_count": 20,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -852,7 +853,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -862,23 +863,20 @@
        "       222.66667 , 267.00003 , 311.33334 , 355.6667  , 400.      ],      dtype=float32)"
       ]
      },
-     "execution_count": 21,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "from lcm.interfaces import ContinuousGridInfo\n",
-    "\n",
-    "wealth_grid_info = ContinuousGridInfo(start=1, stop=400, n_points=10)\n",
+    "wealth_grid = LinspaceGrid(start=1, stop=400, n_points=10)\n",
     "\n",
-    "# Assuming a linear spacing, grid_info correponds to the following grid:\n",
-    "jnp.linspace(1, 400, 10)"
+    "wealth_grid.to_jax()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -887,7 +885,7 @@
        "<Signature (wealth)>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -897,8 +895,7 @@
     "\n",
     "wealth_coordinate_finder = _get_coordinate_finder(\n",
     "    in_name=\"wealth\",\n",
-    "    grid_type=\"linspace\",\n",
-    "    grid_info=wealth_grid_info,\n",
+    "    grid=wealth_grid,\n",
     ")\n",
     "wealth_coordinate_finder.__signature__"
    ]
@@ -920,7 +917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -929,7 +926,7 @@
        "Array([0.        , 0.50000006, 8.774436  ], dtype=float32)"
       ]
      },
-     "execution_count": 23,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -949,7 +946,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -958,7 +955,7 @@
        "<Signature (vf_arr, wealth_index)>"
       ]
      },
-     "execution_count": 24,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -977,7 +974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -986,7 +983,7 @@
        "Array([0.       , 1.8806003, 5.952807 ], dtype=float32)"
       ]
      },
-     "execution_count": 25,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1003,15 +1000,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div>                            <div id=\"73e9f1ba-5bbd-4c90-af8b-4c53afa361cc\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"73e9f1ba-5bbd-4c90-af8b-4c53afa361cc\")) {                    Plotly.newPlot(                        \"73e9f1ba-5bbd-4c90-af8b-4c53afa361cc\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,23.166667938232422,390.0],\"y\":[0.0,1.8806003332138062,5.9528069496154785],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"0f918bfe-26d5-4426-b153-d7cadfda58f4\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"0f918bfe-26d5-4426-b153-d7cadfda58f4\")) {                    Plotly.newPlot(                        \"0f918bfe-26d5-4426-b153-d7cadfda58f4\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,23.166667938232422,390.0],\"y\":[0.0,1.8806003332138062,5.9528069496154785],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('73e9f1ba-5bbd-4c90-af8b-4c53afa361cc');\n",
+       "var gd = document.getElementById('0f918bfe-26d5-4426-b153-d7cadfda58f4');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -1044,7 +1041,7 @@
     "fig = go.Figure(\n",
     "    data=[\n",
     "        go.Scatter(\n",
-    "            x=wealth_grid,\n",
+    "            x=wealth_grid.to_jax(),\n",
     "            y=vf_arr,\n",
     "            mode=\"markers\",\n",
     "            marker={\"color\": blue, \"size\": 10},\n",
@@ -1136,7 +1133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1145,7 +1142,7 @@
        "{}"
       ]
      },
-     "execution_count": 27,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1162,7 +1159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1171,7 +1168,7 @@
        "[]"
       ]
      },
-     "execution_count": 28,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1184,7 +1181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1205,12 +1202,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Step 4: (1) First we need to add a coordinate finder for the wealth state variable\n",
-    "from lcm.grids import get_linspace_coordinate\n",
+    "from lcm.grid_helpers import get_linspace_coordinate\n",
     "\n",
     "\n",
     "def wealth_coordinate_finder(wealth):\n",
@@ -1227,7 +1224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1252,7 +1249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -1261,7 +1258,7 @@
        "<Signature (vf_arr, wealth)>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": null,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1279,24 +1276,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "vf_evaluated = value_function(wealth=wealth_grid, vf_arr=vf_arr)"
+    "vf_evaluated = value_function(wealth=wealth_grid.to_jax(), vf_arr=vf_arr)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div>                            <div id=\"0233bafe-fa2c-4520-95d3-06eef6e2ce27\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"0233bafe-fa2c-4520-95d3-06eef6e2ce27\")) {                    Plotly.newPlot(                        \"0233bafe-fa2c-4520-95d3-06eef6e2ce27\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "<div>                            <div id=\"9e63f26b-4a1c-4ecd-8125-1bd0317b21d9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"9e63f26b-4a1c-4ecd-8125-1bd0317b21d9\")) {                    Plotly.newPlot(                        \"9e63f26b-4a1c-4ecd-8125-1bd0317b21d9\",                        [{\"marker\":{\"color\":\"#4C78A8\",\"size\":10},\"mode\":\"markers\",\"name\":\"Pre-calculated values\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858139038086,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"},{\"marker\":{\"color\":\"#F58518\",\"size\":7},\"mode\":\"markers\",\"name\":\"Evaluated Points\",\"x\":[1.0,45.333335876464844,89.66667175292969,134.00001525878906,178.33334350585938,222.6666717529297,267.0000305175781,311.3333435058594,355.66668701171875,400.0],\"y\":[0.0,3.761200189590454,4.442651271820068,4.844187259674072,5.129898548126221,5.351858615875244,5.533389568328857,5.686975479125977,5.820083141326904,5.991464614868164],\"type\":\"scatter\"}],                        {\"template\":{\"data\":{\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"white\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"#C8D4E3\",\"linecolor\":\"#C8D4E3\",\"minorgridcolor\":\"#C8D4E3\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatter\":[{\"fillpattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2},\"type\":\"scatter\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"white\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"#C8D4E3\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"white\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"radialaxis\":{\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"yaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"},\"zaxis\":{\"backgroundcolor\":\"white\",\"gridcolor\":\"#DFE8F3\",\"gridwidth\":2,\"linecolor\":\"#EBF0F8\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"#EBF0F8\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"},\"bgcolor\":\"white\",\"caxis\":{\"gridcolor\":\"#DFE8F3\",\"linecolor\":\"#A2B1C6\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"#EBF0F8\",\"linecolor\":\"#EBF0F8\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"#EBF0F8\",\"zerolinewidth\":2}}},\"xaxis\":{\"title\":{\"text\":\"Wealth (x)\"}},\"yaxis\":{\"title\":{\"text\":\"V(x)\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('0233bafe-fa2c-4520-95d3-06eef6e2ce27');\n",
+       "var gd = document.getElementById('9e63f26b-4a1c-4ecd-8125-1bd0317b21d9');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -1329,14 +1326,14 @@
     "fig = go.Figure(\n",
     "    data=[\n",
     "        go.Scatter(\n",
-    "            x=wealth_grid,\n",
+    "            x=wealth_grid.to_jax(),\n",
     "            y=vf_arr,\n",
     "            mode=\"markers\",\n",
     "            marker={\"color\": blue, \"size\": 10},\n",
     "            name=\"Pre-calculated values\",\n",
     "        ),\n",
     "        go.Scatter(\n",
-    "            x=wealth_grid,\n",
+    "            x=wealth_grid.to_jax(),\n",
     "            y=vf_evaluated,\n",
     "            mode=\"markers\",\n",
     "            marker={\"color\": orange, \"size\": 7},\n",
diff --git a/pixi.lock b/pixi.lock
index b9626d53..4f2c9a9f 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -9,225 +9,226 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_14.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_16.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hdade7a5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hb3c18ed_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.5.39-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.5.40-hcdd1206_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.5.40-hd3aeb46_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.5.40-hd3aeb46_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.5.40-h8a487aa_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.5.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.5.40-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.5.40-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.5-hd4f0392_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cudnn-8.9.7.29-h092f7fd_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.6.37-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.6.68-hcdd1206_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.6.68-he91c749_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.6.68-h85509e4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.6.68-h8a487aa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.6-h7480c83_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cudnn-9.2.1.18-hbc370b7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-12.3.0-h58ffeeb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h6477408_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-12.3.0-h2a574ab_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-12.3.0-h4a1b8e8_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-13.3.0-hfea6d02_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-13.3.0-hc28eda2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-13.3.0-hdbfa832_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-13.3.0-h6834431_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cuda120py312h6027bbc_202.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cuda120py312h3995614_201.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-4.18.0-he073ed8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-3.10.0-h4a8ded7_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.5.2.13-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.3.18-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.6.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.2.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.4.1.24-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.6.1.4-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.6.59-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.7.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.4.69-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.5.3.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-12.3.0-h0223996_107.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-13.3.0-h84ea5a7_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.62.2-h15f2491_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.5.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-12.3.0-hb8811af_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-12.3.0-h0223996_107.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-13.3.0-heb74ff8_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-13.3.0-h84ea5a7_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.21.5.1-h3a97aeb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.22.3.1-hbc370b7_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.0-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.28-he073ed8_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h4a8ded7_16.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh0d859eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
   default:
@@ -239,713 +240,709 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cpu_py312h8d2594f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cpu_py312h6b2a80f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.62.2-h15f2491_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.0-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh0d859eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312h104f124_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312hb553811_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312heafc425_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h10d778d_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.28.1-h10d778d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.2.2-h8857fd0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h5861a67_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.33.1-h44e7173_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.16.0-py312h38bf5a0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.17.1-py312hf857d28_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.1-py312hede676d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.5-py312h5861a67_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/fancycompleter-0.9.1-py312hb401068_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.23-cpu_py312h432c0f0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.31-cpu_py312h70ed142_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-2.4-py312hb401068_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-3.0.0-py312hb401068_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.7.2-py312hb401068_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.2-hb884880_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hc1bcbd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.3-h37d8d59_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-17.0.6-h88467a6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-18.1.8-hd876a4e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.2-h73e2aa4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.2-h0d85af4_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-13_2_0_h97931a8_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-13.2.0-h2873a65_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgrpc-1.62.2-h384b2fc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_hfef2a42_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_h8869122_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libprotobuf-4.25.3-h4e4d658_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libre2-11-2023.09.01-h81f5012_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.45.3-h92b6c6a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.2.13-h87427d6_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.6-h15ab845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.20-hfdf4475_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-h87427d6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.8-h15ab845_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h1171441_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/msgspec-0.18.6-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h98e817e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h5846eda_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.0-h87427d6_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.1.1-py312he4d506f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.2-hd23fc13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.8-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-6.0.0-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyrepl-0.9.0-py312h41838bb_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.3.1-py312hab44e94_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.3.1-py312hab44e94_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.0-h30d4d87_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.1-py312h104f124_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.0.3-py312ha04878a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.2-py312hb553811_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.2.0-py312h54d5c6a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/re2-2023.09.01-hb168e87_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.18.1-py312ha47ea1c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.20.0-py312h669792a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.13.0-py312h741d2f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.13-h1abcd95_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4.1-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312h49ebfd2_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312hc5c4d5f_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xz-5.2.6-h775f41a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/yaml-0.2.5-h0d85af4_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hde137ed_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hb33e954_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h7122b0e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/dd/49/de869130028fb8d90e25da3b7d8fb13e40f5afa4c4af1781583eb1ff3839/pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-arm64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h02f2b3b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h024a12e_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h9f69965_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h93a5062_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.28.1-h93a5062_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.2.2-hf0a4a13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312hde4cb15_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.33.1-hd74edd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.16.0-py312h8e38eb3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py312h0fad829_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.1-py312h20a0b95_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.5-py312hde4cb15_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fancycompleter-0.9.1-py312h81bd7bf_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.23-cpu_py312h43c41d3_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.31-cpu_py312h47007b3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-2.4-py312h81bd7bf_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-3.0.0-py312h81bd7bf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jupyter_core-5.7.2-py312h81bd7bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.2-h92f50d5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_hebf3989_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-17.0.6-h5f092b4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.3-h237132a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_h00cdb27_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-18.1.8-h3ed4263_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.2-hebf3989_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran-5.0.0-13_2_0_hd922786_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-13.2.0-hf226fd6_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.62.2-h9c18a4f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h6c19121_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h517c56d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libprotobuf-4.25.3-hbfab5d5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2023.09.01-h7b2c953_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.45.3-h091b4b1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.13-hfb2fe0b_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.6-hde57baf_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.20-h99b78c6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-hfb2fe0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.8-hde57baf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312h8ae5369_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/msgspec-0.18.6-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312hcd31e36_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-hb89a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.0-hfb2fe0b_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.1.1-py312h801f5e3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.2-h8359307_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-5.9.8-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-6.0.0-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyrepl-0.9.0-py312he37b823_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.3.1-py312hd24fc31_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.3.1-py312hd24fc31_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.0-h47c9636_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.1-py312h02f2b3b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.0.3-py312hfa13136_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py312h024a12e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.2.0-py312hc6335d2_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/re2-2023.09.01-h4cba328_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.18.1-py312h552d48e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.20.0-py312he431725_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.13.0-py312h14ffa8f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4.1-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h389731b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h6142ec9_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xz-5.2.6-h57fd34a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hcc0f68c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h64debc3_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/db/7c/9a60add21b96140e22465d9adf09832feade45235cd22f4cb1668a25e443/pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       win-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312he70551f_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312h4389bb4_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h53d5487_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h275cf98_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.16.0-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.17.1-py312h4389bb4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.1-py312h53d5487_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.5-py312h275cf98_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/fancycompleter-0.9.1-py312h2e8e312_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.1.0-h57928b3_966.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyha63f2e9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh7428d3b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh4bbf305_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh7428d3b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-2.4-py312h2e8e312_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py312h2e8e312_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.7.2-py312h2e8e312_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.2-heb0366b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.2-h63175ca_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.3-hdf4eb48_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.3-he0c23c2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.10.0-default_h8125262_1001.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.11.1-default_h8125262_1000.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-hcfcfb64_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.45.3-hcfcfb64_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h283a6d9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-h2466b09_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.20-hc70643c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.46.1-h2466b09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h0f24e4e_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_692.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/msgspec-0.18.6-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_694.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-1.26.4-py312h8753938_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.0-h2466b09_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.1.1-py312h49bc9c5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.2-h2466b09_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.8-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-6.0.0-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyreadline-2.1-py312h2e8e312_1008.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.12.0-h2628c8c_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-306-py312h53d5487_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h53d5487_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.1-py312he70551f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.0.3-py312hd7027bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h275cf98_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py312h4389bb4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.2.0-py312hd7027bb_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.18.1-py312h2615798_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.20.0-py312h2615798_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.13.0-py312h1f4e10d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh5737063_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.12.0-hc790b64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh5737063_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4.1-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312h0d7def4_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312hd5eb7cc_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-ha32ba9b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.38.33135-h835141b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.38.33135-h22015db_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h8a93ad2_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.40.33810-hcc2c482_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.40.33810-h3bf8584_20.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyhd8ed1ab_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xz-5.2.6-h8d14728_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/20/11/6667e8a2146d62b7e585c389cc39cede4993f7380101cae052e8dce546c2/jax-0.4.28-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/d4/60/6155cc8dfeeb695d47423ae075938c8786a4e110b9f83b047e6365334eae/jaxlib-0.4.28-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/7e/cf/5f51b43bd692e90585c0ef6e8d1b0db5d254fe0224a6570daa59a1be014f/jax-0.4.31-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/c8/13/1bb2bcb4d9f4719dd5f3d98f5c2fc2235f961ced576366b040372eebdb17/jaxlib-0.4.31-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/0f/b7/7cfca987ca898b64c0b7d185e957fbd8dccb64fe5ae9e44f68ec83371df5/ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/bc/19/404708a7e54ad2798907210462fd950c3442ea51acc8790f3da48d2bee8b/opt_einsum-3.3.0-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/22/a5/a0b255295406ed54269814bc93723cfd1a0da63fb9aaf99e1364f07923e5/pandas-2.2.2-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/56/fc/a3c13ded7b3057680c8ae95a9b6cc83e63657c38e0005c400a5d018a33a7/pyreadline3-3.4.1-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
   mypy:
@@ -958,44 +955,43 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.12-h4ab18f5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.1-py312h8572e83_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.0-py312h68727a3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dbus-1.13.6-h5008d03_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.3.0-h59595ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.3-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
@@ -1003,897 +999,882 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.53.0-py312h9a8786e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.53.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-h59595ed_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-2.80.2-hf974151_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.80.2-hb6ce0ca_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.24.4-h9ad1361_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.4-haf2f30d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cpu_py312h8d2594f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cpu_py312h6b2a80f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py312h8572e83_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.7-py312h68727a3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-h661eb56_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-h661eb56_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.69-h0f662aa_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp15-15.0.7-default_h127d8a8_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-18.1.7-default_h087397f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp18.1-18.1.8-default_hf981a13_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libclang13-18.1.8-default_h9def88c_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.20-hd590300_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.21-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libflac-1.4.3-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-1.10.3-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-0.22.5-h59595ed_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-devel-0.22.5-h59595ed_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.2-hf974151_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.49-h4f305b6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgl-1.7.0-ha4b6fd6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.3-h315aac3_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libglx-1.7.0-ha4b6fd6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.62.2-h15f2491_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm15-15.0.7-hb3ce162_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm18-18.1.7-hb77312f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libllvm18-18.1.8-h8b73ec9_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.4-h7f98852_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopus-1.3.1-h7f98852_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpciaccess-0.18-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.43-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpq-16.3-ha72fbe1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libpq-16.4-h2d7952a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc60ed4a_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-255-h3516f8a_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h1dd3fc0_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h46a8edc_4.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.4.0-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.7.0-h662e7e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.8.4-py312h7900ff3_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.4-py312h20ab3a6_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.16-hb9d3cd8_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.7.0-h2c5496b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-he7c6b58_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.39-h76b75d6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.9.2-py312h7900ff3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py312h854627b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.6-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.10.0-py312h9a8786e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.11.2-py312h66e93f0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.3.0-hca2cd23_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/mysql-common-9.0.1-h70512c7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.0.1-ha479ceb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/nss-3.100-hca3bf56_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240807-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py312hdcec9eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.4.0-py312h287a98d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pulseaudio-client-17.0-hb77b528_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.9-py312h949fe66_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyqt5-sip-12.12.2-py312h30efb56_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyside6-6.7.2-py312hb5137db_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.0-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/qt-main-5.15.8-hc9dc06e_21.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.7.2-hb12f9c5_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh0d859eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2024.1.0.20240417-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.23.1-h3e06ad9_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-h8ee46fc_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.0-h8ee46fc_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-hd590300_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h8ee46fc_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.1-hb711507_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-cursor-0.1.4-h4ab18f5_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-hb711507_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.1-hb711507_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.10-hb711507_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.2-hb711507_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.42-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-fixesproto-5.0-h7f98852_1002.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-inputproto-2.3.2-h7f98852_1002.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-h7391055_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-hb711507_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h0b41bf4_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-5.0.3-h7f98852_1004.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.7.10-h4bc722e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hd590300_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxtst-1.2.5-h4bc722e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.5-h4bc722e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-recordproto-1.14.2-h7f98852_1002.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-h4ab18f5_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312h104f124_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312hb553811_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.1.0-h0dc2134_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.1.0-h0dc2134_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312heafc425_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h10d778d_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.28.1-h10d778d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.2.2-h8857fd0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.1.0-h00291cd_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.1.0-h00291cd_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h5861a67_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.33.1-h44e7173_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.16.0-py312h38bf5a0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.17.1-py312hf857d28_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.2.1-py312h9230928_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.3.0-py312hc5c4d5f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.1-py312hede676d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.5-py312h5861a67_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/fancycompleter-0.9.1-py312hb401068_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.53.0-py312hbd25219_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.53.1-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h60636b9_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.23-cpu_py312h432c0f0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.31-cpu_py312h70ed142_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-2.4-py312hb401068_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-3.0.0-py312hb401068_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.7.2-py312hb401068_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.5-py312h49ebfd2_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.2-hb884880_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.7-py312hc5c4d5f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.3-h37d8d59_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/lcms2-2.16-ha2f27b4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/lerc-4.0.0-hb486fe8_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hc1bcbd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.1.0-h0dc2134_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.1.0-h0dc2134_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.1.0-h0dc2134_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.1.0-h00291cd_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.1.0-h00291cd_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.1.0-h00291cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-17.0.6-h88467a6_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.20-h49d49c5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-18.1.8-hd876a4e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.21-hfdf4475_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.2-h73e2aa4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.2-h0d85af4_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-13_2_0_h97931a8_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-13.2.0-h2873a65_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgrpc-1.62.2-h384b2fc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libjpeg-turbo-3.0.0-h0dc2134_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_hfef2a42_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_h8869122_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.43-h92b6c6a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libprotobuf-4.25.3-h4e4d658_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libre2-11-2023.09.01-h81f5012_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.45.3-h92b6c6a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h129831d_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.20-hfdf4475_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h603087a_4.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.4.0-h10d778d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.15-hb7f2c08_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.2.13-h87427d6_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.6-h15ab845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312h41838bb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-3.8.4-py312hb401068_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.8.4-py312hb6d62fa_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.16-h00291cd_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-h87427d6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.8-h15ab845_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312hb553811_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-3.9.2-py312hb401068_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.9.2-py312h0d5aeb7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h1171441_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/msgspec-0.18.6-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h98e817e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/mypy-1.10.0-py312h5fa3f64_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/mypy-1.11.2-py312hb553811_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h5846eda_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.1.1-py312he4d506f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.2-h7310d3a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.0-h87427d6_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.2-hd23fc13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240807-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pillow-10.3.0-py312h0c923fa_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pillow-10.4.0-py312hbd70edc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.8-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-6.0.0-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/pthread-stubs-0.4-hc929b4f_1001.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyrepl-0.9.0-py312h41838bb_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.3.1-py312hab44e94_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.3.1-py312hab44e94_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.0-h30d4d87_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.1-py312h104f124_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.0.3-py312ha04878a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.2-py312hb553811_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.2.0-py312h54d5c6a_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h3c5361c_5.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/re2-2023.09.01-hb168e87_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.18.1-py312ha47ea1c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.20.0-py312h669792a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.13.0-py312h741d2f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.13-h1abcd95_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4.1-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2024.1.0.20240417-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312h49ebfd2_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312hc5c4d5f_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxau-1.0.11-h0dc2134_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxdmcp-1.1.3-h35c211d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xz-5.2.6-h775f41a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/yaml-0.2.5-h0d85af4_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hde137ed_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hb33e954_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h7122b0e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/dd/49/de869130028fb8d90e25da3b7d8fb13e40f5afa4c4af1781583eb1ff3839/pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-arm64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h02f2b3b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h024a12e_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-1.1.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.1.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h9f69965_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h93a5062_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.28.1-h93a5062_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.2.2-hf0a4a13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-1.1.0-hd74edd7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.1.0-hd74edd7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312hde4cb15_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.33.1-hd74edd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.16.0-py312h8e38eb3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py312h0fad829_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.2.1-py312h0fef576_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.3.0-py312h6142ec9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.1-py312h20a0b95_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.5-py312hde4cb15_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fancycompleter-0.9.1-py312h81bd7bf_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.53.0-py312h7e5086c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.53.1-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/freetype-2.12.1-hadb7bae_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.23-cpu_py312h43c41d3_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.31-cpu_py312h47007b3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-2.4-py312h81bd7bf_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-3.0.0-py312h81bd7bf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jupyter_core-5.7.2-py312h81bd7bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.5-py312h389731b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.2-h92f50d5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.7-py312h6142ec9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.3-h237132a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/lcms2-2.16-ha0e7c42_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/lerc-4.0.0-h9a09cb3_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_hebf3989_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.1.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.1.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.1.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-17.0.6-h5f092b4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.20-h93a5062_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_h00cdb27_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.1.0-hd74edd7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.1.0-hd74edd7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.1.0-hd74edd7_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-18.1.8-h3ed4263_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.21-h99b78c6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.2-hebf3989_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran-5.0.0-13_2_0_hd922786_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-13.2.0-hf226fd6_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.62.2-h9c18a4f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libjpeg-turbo-3.0.0-hb547adb_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h6c19121_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h517c56d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libpng-1.6.43-h091b4b1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libprotobuf-4.25.3-hbfab5d5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2023.09.01-h7b2c953_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.45.3-h091b4b1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.6.0-h07db509_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.20-h99b78c6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.6.0-hf8409c0_4.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.4.0-h93a5062_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.15-hf346824_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.13-hfb2fe0b_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.6-hde57baf_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312he37b823_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-3.8.4-py312h1f38498_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.8.4-py312h4479663_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.16-hc9fafa5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-hfb2fe0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.8-hde57baf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312h024a12e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-3.9.2-py312h1f38498_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.9.2-py312h32d6e5a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312h8ae5369_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/msgspec-0.18.6-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312hcd31e36_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/mypy-1.10.0-py312h4a164c9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/mypy-1.11.2-py312h024a12e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-hb89a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.1.1-py312h801f5e3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openjpeg-2.5.2-h9f1df11_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.0-hfb2fe0b_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.2-h8359307_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240807-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pillow-10.3.0-py312h8a801b1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pillow-10.4.0-py312h39b1d8d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-5.9.8-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-6.0.0-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-h27ca646_1001.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyrepl-0.9.0-py312he37b823_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.3.1-py312hd24fc31_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.3.1-py312hd24fc31_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.0-h47c9636_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.1-py312h02f2b3b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.0.3-py312hfa13136_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py312h024a12e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.2.0-py312hc6335d2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/qhull-2020.2-h420ef59_5.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/re2-2023.09.01-h4cba328_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.18.1-py312h552d48e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.20.0-py312he431725_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.13.0-py312h14ffa8f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4.1-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2024.1.0.20240417-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h389731b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h6142ec9_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.11-hb547adb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxdmcp-1.1.3-h27ca646_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xz-5.2.6-h57fd34a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hcc0f68c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h64debc3_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/db/7c/9a60add21b96140e22465d9adf09832feade45235cd22f4cb1668a25e443/pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       win-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312he70551f_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312h4389bb4_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-1.1.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.1.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h53d5487_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-1.1.0-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.1.0-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h275cf98_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.16.0-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.0-h32b962e_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.17.1-py312h4389bb4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.2.1-py312h0d7def4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.3.0-py312hd5eb7cc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.1-py312h53d5487_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.5-py312h275cf98_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.3.0-h63175ca_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/fancycompleter-0.9.1-py312h2e8e312_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.53.0-py312h4389bb4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/expat-2.6.3-he0c23c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-h77eed37_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.14.2-hbde0cde_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.53.1-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-hdaf720e_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/glib-2.80.2-h0df6a38_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/glib-tools-2.80.2-h2f9d560_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/gst-plugins-base-1.24.4-hba88be7_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/gstreamer-1.24.4-h5006eae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/graphite2-1.3.13-h63175ca_1003.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/harfbuzz-9.0.0-h2bedf89_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/icu-73.2-h63175ca_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.1.0-h57928b3_966.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyha63f2e9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh7428d3b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/icu-75.1-he0c23c2_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh4bbf305_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh7428d3b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-2.4-py312h2e8e312_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py312h2e8e312_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.7.2-py312h2e8e312_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.5-py312h0d7def4_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.2-heb0366b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.7-py312hd5eb7cc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.3-hdf4eb48_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/lcms2-2.16-h67d730c_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/lerc-4.0.0-h63175ca_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlicommon-1.1.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.1.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libclang13-18.1.7-default_h97ce8ae_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libdeflate-1.20-hcfcfb64_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.2-h63175ca_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlicommon-1.1.0-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.1.0-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-h2466b09_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libclang13-18.1.8-default_ha5278ca_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libdeflate-1.21-h2466b09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.3-he0c23c2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libglib-2.80.2-h0df6a38_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.10.0-default_h8125262_1001.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libglib-2.80.3-h7025463_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.11.1-default_h8125262_1000.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-hcfcfb64_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libintl-devel-0.22.5-h5728263_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_3.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libjpeg-turbo-3.0.0-hcfcfb64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libogg-1.3.4-h8ffe710_1.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-23_win64_mkl.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libpng-1.6.43-h19919ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.45.3-hcfcfb64_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.6.0-hddb2be6_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libvorbis-1.3.7-h0e60522_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.20-hc70643c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.46.1-h2466b09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.6.0-hb151862_4.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.4.0-hcfcfb64_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.15-hcd874cb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h283a6d9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-h2466b09_6.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.16-h013a479_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h0f24e4e_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxslt-1.1.39-h3df6e99_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-5.3.0-7.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libs-core-5.3.0-7.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-gmp-6.1.0-2.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-libwinpthread-git-5.0.0.4634.697f757-2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312he70551f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.8.4-py312h2e8e312_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.8.4-py312hfee7060_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312h4389bb4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.9.2-py312h2e8e312_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.9.2-py312h90004f6_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_692.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/msgspec-0.18.6-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_694.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/msys2-conda-epoch-20160418-1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/mypy-1.10.0-py312h4389bb4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mypy-1.11.2-py312h4389bb4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/mypy_extensions-1.0.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-1.26.4-py312h8753938_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.1.1-py312h49bc9c5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/openjpeg-2.5.2-h3d672ee_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.0-h2466b09_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.2-h2466b09_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240807-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.43-h17e33f8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.44-h3d7b363_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pillow-10.3.0-py312h6f6a607_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pillow-10.4.0-py312h381445a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pixman-0.43.4-h63175ca_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.8-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-6.0.0-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthread-stubs-0.4-hcd874cb_1001.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyqt-5.15.9-py312he09f080_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyqt5-sip-12.12.2-py312h53d5487_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyreadline-2.1-py312h2e8e312_1008.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.7.2-py312h2ee7485_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.12.0-h2628c8c_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-306-py312h53d5487_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h53d5487_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.1-py312he70551f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.0.3-py312hd7027bb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/qt-main-5.15.8-hcef0176_21.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h275cf98_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py312h4389bb4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.2.0-py312hd7027bb_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/qhull-2020.2-hc790b64_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/qt6-main-6.7.2-hbb46ec1_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.18.1-py312h2615798_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.20.0-py312h2615798_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.13.0-py312h1f4e10d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh5737063_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/sip-6.7.12-py312h53d5487_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.12.0-hc790b64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh5737063_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4.1-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/types-pytz-2024.1.0.20240417-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312h0d7def4_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312hd5eb7cc_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-ha32ba9b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.38.33135-h835141b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.38.33135-h22015db_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h8a93ad2_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.40.33810-hcc2c482_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.40.33810-h3bf8584_20.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyhd8ed1ab_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.11-hcd874cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/xz-5.2.6-h8d14728_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.1-h2466b09_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/20/11/6667e8a2146d62b7e585c389cc39cede4993f7380101cae052e8dce546c2/jax-0.4.28-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/d4/60/6155cc8dfeeb695d47423ae075938c8786a4e110b9f83b047e6365334eae/jaxlib-0.4.28-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/7e/cf/5f51b43bd692e90585c0ef6e8d1b0db5d254fe0224a6570daa59a1be014f/jax-0.4.31-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/c8/13/1bb2bcb4d9f4719dd5f3d98f5c2fc2235f961ced576366b040372eebdb17/jaxlib-0.4.31-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/0f/b7/7cfca987ca898b64c0b7d185e957fbd8dccb64fe5ae9e44f68ec83371df5/ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/bc/19/404708a7e54ad2798907210462fd950c3442ea51acc8790f3da48d2bee8b/opt_einsum-3.3.0-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/22/a5/a0b255295406ed54269814bc93723cfd1a0da63fb9aaf99e1364f07923e5/pandas-2.2.2-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/56/fc/a3c13ded7b3057680c8ae95a9b6cc83e63657c38e0005c400a5d018a33a7/pyreadline3-3.4.1-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
   test-cpu:
@@ -1905,748 +1886,744 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.5.3-py312h9a8786e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.1-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cpu_py312h8d2594f_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cpu_py312h6b2a80f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.62.2-h15f2491_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.0-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh0d859eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312h104f124_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312hb553811_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312heafc425_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h10d778d_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.28.1-h10d778d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.2.2-h8857fd0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h5861a67_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.33.1-h44e7173_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.16.0-py312h38bf5a0_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.17.1-py312hf857d28_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/coverage-7.5.3-py312hbd25219_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.1-py312hede676d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/coverage-7.6.1-py312hb553811_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.5-py312h5861a67_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/fancycompleter-0.9.1-py312hb401068_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.23-cpu_py312h432c0f0_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.31-cpu_py312h70ed142_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-2.4-py312hb401068_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-3.0.0-py312hb401068_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.7.2-py312hb401068_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.2-hb884880_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hc1bcbd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.3-h37d8d59_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-17.0.6-h88467a6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libcxx-18.1.8-hd876a4e_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.2-h73e2aa4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.2-h0d85af4_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-13_2_0_h97931a8_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-13.2.0-h2873a65_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libgrpc-1.62.2-h384b2fc_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_hfef2a42_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_h8869122_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libprotobuf-4.25.3-h4e4d658_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libre2-11-2023.09.01-h81f5012_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.45.3-h92b6c6a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.2.13-h87427d6_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.6-h15ab845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.20-hfdf4475_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-h87427d6_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.8-h15ab845_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h1171441_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/msgspec-0.18.6-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h98e817e_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h5846eda_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-hf036a51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.0-h87427d6_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.1.1-py312he4d506f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.2-hd23fc13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.8-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/psutil-6.0.0-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.2-py312h74abf1d_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyrepl-0.9.0-py312h41838bb_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.3.1-py312hab44e94_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.3.1-py312hab44e94_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/python-3.12.0-h30d4d87_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.1-py312h104f124_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.0.3-py312ha04878a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.2-py312hb553811_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.2.0-py312h54d5c6a_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/re2-2023.09.01-hb168e87_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.18.1-py312ha47ea1c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.20.0-py312h669792a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.13.0-py312h741d2f9_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.13-h1abcd95_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4-py312h41838bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4.1-py312hb553811_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312h49ebfd2_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312hc5c4d5f_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xz-5.2.6-h775f41a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/yaml-0.2.5-h0d85af4_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hde137ed_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hb33e954_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h7122b0e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/zstd-1.5.6-h915ae27_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/dd/49/de869130028fb8d90e25da3b7d8fb13e40f5afa4c4af1781583eb1ff3839/pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       osx-arm64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h02f2b3b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h024a12e_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h9f69965_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h93a5062_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.28.1-h93a5062_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.2.2-hf0a4a13_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312hde4cb15_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.33.1-hd74edd7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.16.0-py312h8e38eb3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py312h0fad829_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coverage-7.5.3-py312h7e5086c_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.1-py312h20a0b95_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/coverage-7.6.1-py312h024a12e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.5-py312hde4cb15_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/fancycompleter-0.9.1-py312h81bd7bf_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.23-cpu_py312h43c41d3_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.31-cpu_py312h47007b3_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-2.4-py312h81bd7bf_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-3.0.0-py312h81bd7bf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/jupyter_core-5.7.2-py312h81bd7bf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.2-h92f50d5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_hebf3989_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-17.0.6-h5f092b4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.3-h237132a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_h00cdb27_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-18.1.8-h3ed4263_7.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.2-hebf3989_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran-5.0.0-13_2_0_hd922786_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-13.2.0-hf226fd6_3.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.62.2-h9c18a4f_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-22_osxarm64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h6c19121_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-23_osxarm64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h517c56d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libprotobuf-4.25.3-hbfab5d5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2023.09.01-h7b2c953_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.45.3-h091b4b1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.13-hfb2fe0b_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.6-hde57baf_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.20-h99b78c6_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-hfb2fe0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.8-hde57baf_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312h8ae5369_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/msgspec-0.18.6-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312hcd31e36_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-hb89a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.0-hfb2fe0b_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.1.1-py312h801f5e3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.2-h8359307_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-5.9.8-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-6.0.0-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.2-py312h9d22092_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyrepl-0.9.0-py312he37b823_9.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.3.1-py312hd24fc31_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.3.1-py312hd24fc31_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python-3.12.0-h47c9636_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.1-py312h02f2b3b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.0.3-py312hfa13136_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py312h024a12e_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.2.0-py312hc6335d2_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/re2-2023.09.01-h4cba328_2.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.18.1-py312h552d48e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.20.0-py312he431725_1.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/scipy-1.13.0-py312h14ffa8f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh31c8845_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh31c8845_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4-py312he37b823_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4.1-py312h024a12e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h389731b_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h6142ec9_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xz-5.2.6-h57fd34a_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hcc0f68c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h64debc3_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/db/7c/9a60add21b96140e22465d9adf09832feade45235cd22f4cb1668a25e443/pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
       win-64:
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312he70551f_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312h4389bb4_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h53d5487_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h275cf98_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.16.0-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/cffi-1.17.1-py312h4389bb4_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/coverage-7.5.3-py312h4389bb4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.1-py312h53d5487_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/coverage-7.6.1-py312h4389bb4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.5-py312h275cf98_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/fancycompleter-0.9.1-py312h2e8e312_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.1.0-h57928b3_966.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyha63f2e9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh7428d3b_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh4bbf305_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh7428d3b_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-2.4-py312h2e8e312_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py312h2e8e312_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/jupyter_core-5.7.2-py312h2e8e312_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.2-heb0366b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.2-h63175ca_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.3-hdf4eb48_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.3-he0c23c2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.10.0-default_h8125262_1001.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.11.1-default_h8125262_1000.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-hcfcfb64_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-22_win64_mkl.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.45.3-hcfcfb64_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h283a6d9_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-h2466b09_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-23_win64_mkl.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.20-hc70643c_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.46.1-h2466b09_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h0f24e4e_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_692.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/msgspec-0.18.6-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_694.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-1.26.4-py312h8753938_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.0-h2466b09_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/numpy-2.1.1-py312h49bc9c5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.2-h2466b09_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.8-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/psutil-6.0.0-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pthreads-win32-2.9.1-hfa6e2cd_3.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyreadline-2.1-py312h2e8e312_1008.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/python-3.12.0-h2628c8c_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/pywin32-306-py312h53d5487_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h53d5487_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.1-py312he70551f_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.0.3-py312hd7027bb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h275cf98_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py312h4389bb4_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.2.0-py312hd7027bb_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.18.1-py312h2615798_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.20.0-py312h2615798_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/scipy-1.13.0-py312h1f4e10d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh5737063_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.12.0-hc790b64_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh5737063_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4-py312he70551f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4.1-py312h4389bb4_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312h0d7def4_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312hd5eb7cc_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-ha32ba9b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.38.33135-h835141b_20.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.38.33135-h22015db_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h8a93ad2_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.40.33810-hcc2c482_20.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.40.33810-h3bf8584_20.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/win_inet_pton-1.1.0-pyhd8ed1ab_6.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/winpty-0.4.3-4.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/win-64/xz-5.2.6-h8d14728_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/win-64/yaml-0.2.5-h8ffe710_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/20/11/6667e8a2146d62b7e585c389cc39cede4993f7380101cae052e8dce546c2/jax-0.4.28-py3-none-any.whl
-      - pypi: https://files.pythonhosted.org/packages/d4/60/6155cc8dfeeb695d47423ae075938c8786a4e110b9f83b047e6365334eae/jaxlib-0.4.28-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/7e/cf/5f51b43bd692e90585c0ef6e8d1b0db5d254fe0224a6570daa59a1be014f/jax-0.4.31-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/c8/13/1bb2bcb4d9f4719dd5f3d98f5c2fc2235f961ced576366b040372eebdb17/jaxlib-0.4.31-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/0f/b7/7cfca987ca898b64c0b7d185e957fbd8dccb64fe5ae9e44f68ec83371df5/ml_dtypes-0.4.0-cp312-cp312-win_amd64.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/bc/19/404708a7e54ad2798907210462fd950c3442ea51acc8790f3da48d2bee8b/opt_einsum-3.3.0-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/22/a5/a0b255295406ed54269814bc93723cfd1a0da63fb9aaf99e1364f07923e5/pandas-2.2.2-cp312-cp312-win_amd64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/56/fc/a3c13ded7b3057680c8ae95a9b6cc83e63657c38e0005c400a5d018a33a7/pyreadline3-3.4.1-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
   test-gpu:
@@ -2658,234 +2635,235 @@ environments:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_14.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_16.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/beautifulsoup4-4.12.3-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hdade7a5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hb3c18ed_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/bleach-6.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached-property-1.5.2-hd8ed1ab_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/cached_property-1.5.2-pyha770c72_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cfgv-3.3.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.5.3-py312h9a8786e_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.5.39-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.5.39-h85509e4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.5.40-hcdd1206_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.5.40-hd3aeb46_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.5.40-hd3aeb46_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.5.40-h8a487aa_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.5.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.5.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.5.40-ha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.5.40-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.5.40-h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.5-hd4f0392_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/cudnn-8.9.7.29-h092f7fd_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.1-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.6.37-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.6.68-h3f2d84a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.6.68-hcdd1206_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.6.68-he91c749_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.6.68-h85509e4_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.6.68-h8a487aa_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.6.68-ha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.6.68-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.6-h7480c83_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/cudnn-9.2.1.18-hbc370b7_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-12.3.0-h58ffeeb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h6477408_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-12.3.0-h2a574ab_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-12.3.0-h4a1b8e8_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-13.3.0-hfea6d02_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-13.3.0-hc28eda2_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-13.3.0-hdbfa832_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-13.3.0-h6834431_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/httpcore-1.0.5-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cuda120py312h6027bbc_202.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cuda120py312h3995614_201.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jedi-0.19.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.25-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-specifications-2023.12.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.7.2-py312h7900ff3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.5.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.3.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-4.18.0-he073ed8_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-3.10.0-h4a8ded7_16.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.5.2.13-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.3.18-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.6.39-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.2.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.4.1.24-he02047a_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.6.1.4-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.6.59-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.7.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.4.69-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.5.3.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-12.3.0-h0223996_107.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-13.3.0-h84ea5a7_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.62.2-h15f2491_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.5.40-he02047a_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.6.68-h5888daf_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-4.25.3-h08a7969_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libre2-11-2023.09.01-h5a48ba9_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-12.3.0-hb8811af_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-12.3.0-h0223996_107.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-13.3.0-heb74ff8_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-13.3.0-h84ea5a7_101.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.7-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/memory_profiler-0.61.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.21.5.1-h3a97aeb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.22.3.1-hbc370b7_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.6.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt-einsum-3.3.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/opt_einsum-3.3.0-pyhc1e730c_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.4-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pybaum-0.1.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pygments-2.18.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha2e5f31_6.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.0-hab00c5b_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/python-json-logger-2.0.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.09.01-h7f4b329_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/referencing-0.35.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.32.3-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/rfc3986-validator-0.1.1-pyh9f0ad1d_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py312hc2bc53b_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.3-pyh0d859eb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/snakeviz-2.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/sniffio-1.3.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.28-he073ed8_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h4a8ded7_16.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/terminado-0.18.1-pyh0d859eb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.3.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/traitlets-5.14.3-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing_utils-0.1.0-pyhd8ed1ab_0.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/webencodings-0.5.1-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.8.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
       - pypi: https://files.pythonhosted.org/packages/f5/92/8f28e56b94ef20dcf0e04ffcfa99d5b515624f4870d420d858480171238a/dags-0.2.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/38/e9/5f72929373e1a0e8d142a130f3f97e6ff920070f87f91c4e13e40e0fba5a/networkx-3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+      - pypi: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+      - pypi: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
       - pypi: https://files.pythonhosted.org/packages/65/58/f9c9e6be752e9fcb8b6a0ee9fb87e6e7a1f6bcab2cdc73f02bb7ba91ada0/tzdata-2024.1-py2.py3-none-any.whl
       - pypi: .
 packages:
@@ -2923,18 +2901,18 @@ packages:
 - kind: conda
   name: _sysroot_linux-64_curr_repodata_hack
   version: '3'
-  build: h69a702a_14
-  build_number: 14
+  build: h69a702a_16
+  build_number: 16
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_14.conda
-  sha256: 0dbeaddc3d5134b5336c52ac05642533b8d1ba2e1316aa92981f4cf5b5388de0
-  md5: 38d211c448a67f12fe693fe25df4da23
+  url: https://conda.anaconda.org/conda-forge/noarch/_sysroot_linux-64_curr_repodata_hack-3-h69a702a_16.conda
+  sha256: 6ac30acdbfd3136ee7a1de28af4355165291627e905715611726e674499b0786
+  md5: 1c005af0c6ff22814b7c52ee448d4bea
   license: LGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0
   license_family: GPL
   purls: []
-  size: 21169
-  timestamp: 1708000801681
+  size: 20798
+  timestamp: 1720621358501
 - kind: conda
   name: alsa-lib
   version: 1.2.12
@@ -2952,13 +2930,13 @@ packages:
   timestamp: 1718118368236
 - kind: conda
   name: anyio
-  version: 4.3.0
+  version: 4.4.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.3.0-pyhd8ed1ab_0.conda
-  sha256: 86aca4a31c09f9b4dbdb332cd9a6a7dbab62ca734d3f832651c0ab59c6a7f52e
-  md5: ac95aa8ed65adfdde51132595c79aade
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
+  sha256: 84ac9429812495f12939ab4994f2634f7cacd254f6234a0c2c0243daed15a7ee
+  md5: 1fa97c6e8db1f82c64ff17a5efc4ae8e
   depends:
   - exceptiongroup >=1.0.2
   - idna >=2.8
@@ -2966,14 +2944,14 @@ packages:
   - sniffio >=1.1
   - typing_extensions >=4.1
   constrains:
-  - trio >=0.23
   - uvloop >=0.17
+  - trio >=0.23
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/anyio?source=conda-forge-mapping
-  size: 102331
-  timestamp: 1708355504396
+  - pkg:pypi/anyio?source=hash-mapping
+  size: 104255
+  timestamp: 1717693144467
 - kind: conda
   name: appnope
   version: 0.1.4
@@ -2988,7 +2966,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/appnope?source=conda-forge-mapping
+  - pkg:pypi/appnope?source=hash-mapping
   size: 10241
   timestamp: 1707233195627
 - kind: conda
@@ -3009,90 +2987,93 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/argon2-cffi?source=conda-forge-mapping
+  - pkg:pypi/argon2-cffi?source=hash-mapping
   size: 18602
   timestamp: 1692818472638
 - kind: conda
   name: argon2-cffi-bindings
   version: 21.2.0
-  build: py312h02f2b3b_4
-  build_number: 4
+  build: py312h024a12e_5
+  build_number: 5
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h02f2b3b_4.conda
-  sha256: 1cfcf4b2d36a3b183a5cb1c69f85768166e50af6ced5ae381c440666a6da12c6
-  md5: 015edbb6fae68ab35881f55f149d4725
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/argon2-cffi-bindings-21.2.0-py312h024a12e_5.conda
+  sha256: 0e32ddd41f273f505956254d81ffadaf982ed1cb7dfd70d9251a8c5b705c7267
+  md5: 6ccaeafe1a52b0d0e7ebfbf53a374649
   depends:
+  - __osx >=11.0
   - cffi >=1.0.1
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/argon2-cffi-bindings?source=conda-forge-mapping
-  size: 33607
-  timestamp: 1695387216062
+  - pkg:pypi/argon2-cffi-bindings?source=hash-mapping
+  size: 32838
+  timestamp: 1725356954187
 - kind: conda
   name: argon2-cffi-bindings
   version: 21.2.0
-  build: py312h104f124_4
-  build_number: 4
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312h104f124_4.conda
-  sha256: aa321e91f0ff365b5261fa1dcffa2d32aa957561bdbb38988e52e28e25a762a8
-  md5: dddfb6125aed1fb84eb13319007c08fd
+  build: py312h4389bb4_5
+  build_number: 5
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312h4389bb4_5.conda
+  sha256: 8764a8a9416d90264c7d36526de77240a454d0ee140841db545bdd5825ebd6f1
+  md5: 53943e7ecba6b3e3744b292dc3fb4ae2
   depends:
   - cffi >=1.0.1
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/argon2-cffi-bindings?source=conda-forge-mapping
-  size: 32556
-  timestamp: 1695387174872
+  - pkg:pypi/argon2-cffi-bindings?source=hash-mapping
+  size: 34399
+  timestamp: 1725357069475
 - kind: conda
   name: argon2-cffi-bindings
   version: 21.2.0
-  build: py312h98912ed_4
-  build_number: 4
+  build: py312h66e93f0_5
+  build_number: 5
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h98912ed_4.conda
-  sha256: 8ddb4a586bc128f1b9484f82c5cb0226340527fbfe093adf3b76b7e755e11477
-  md5: 00536e0a1734dcde9815fe227f32fc5a
+  url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py312h66e93f0_5.conda
+  sha256: 3cbc3b026f5c3f26de696ead10607db8d80cbb003d87669ac3b02e884f711978
+  md5: 1505fc57c305c0a3174ea7aae0a0db25
   depends:
+  - __glibc >=2.17,<3.0.a0
   - cffi >=1.0.1
-  - libgcc-ng >=12
-  - python >=3.12.0rc3,<3.13.0a0
+  - libgcc >=13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/argon2-cffi-bindings?source=conda-forge-mapping
-  size: 35142
-  timestamp: 1695386704886
+  - pkg:pypi/argon2-cffi-bindings?source=hash-mapping
+  size: 34847
+  timestamp: 1725356749774
 - kind: conda
   name: argon2-cffi-bindings
   version: 21.2.0
-  build: py312he70551f_4
-  build_number: 4
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/argon2-cffi-bindings-21.2.0-py312he70551f_4.conda
-  sha256: 4c3c428b994400ca753d9d0adbb11ce2d2a87f4dacd86c91d6cf985c5d89a3e1
-  md5: 69b7a1d899d46b91f8eecab9abf9728c
+  build: py312hb553811_5
+  build_number: 5
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py312hb553811_5.conda
+  sha256: 37d61df3778b99e12d8adbaf7f1c5e8b07616ef3ada4436ad995f25c25ae6fda
+  md5: 033345df1d545bc40b52e03cb03db4e0
   depends:
+  - __osx >=10.13
   - cffi >=1.0.1
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/argon2-cffi-bindings?source=conda-forge-mapping
-  size: 34750
-  timestamp: 1695387347676
+  - pkg:pypi/argon2-cffi-bindings?source=hash-mapping
+  size: 31898
+  timestamp: 1725356938246
 - kind: conda
   name: arrow
   version: 1.3.0
@@ -3109,7 +3090,7 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/arrow?source=conda-forge-mapping
+  - pkg:pypi/arrow?source=hash-mapping
   size: 100096
   timestamp: 1696129131844
 - kind: conda
@@ -3127,7 +3108,7 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/asttokens?source=conda-forge-mapping
+  - pkg:pypi/asttokens?source=hash-mapping
   size: 28922
   timestamp: 1698341257884
 - kind: conda
@@ -3145,42 +3126,26 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/async-lru?source=conda-forge-mapping
+  - pkg:pypi/async-lru?source=hash-mapping
   size: 15342
   timestamp: 1690563152778
-- kind: conda
-  name: attr
-  version: 2.5.1
-  build: h166bdaf_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
-  sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324
-  md5: d9c69a24ad678ffce24c6543a0176b00
-  depends:
-  - libgcc-ng >=12
-  license: GPL-2.0-or-later
-  license_family: GPL
-  purls: []
-  size: 71042
-  timestamp: 1660065501192
 - kind: conda
   name: attrs
-  version: 23.2.0
+  version: 24.2.0
   build: pyh71513ae_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
-  sha256: 77c7d03bdb243a048fff398cedc74327b7dc79169ebe3b4c8448b0331ea55fea
-  md5: 5e4c0743c70186509d1412e03c2d8dfa
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-24.2.0-pyh71513ae_0.conda
+  sha256: 28dba85a7e0f7fb57d7315e13f603d1e41b83c5b88aa2a602596b52c833a2ff8
+  md5: 6732fa52eb8e66e5afeb32db8701a791
   depends:
   - python >=3.7
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/attrs?source=conda-forge-mapping
-  size: 54582
-  timestamp: 1704011393776
+  - pkg:pypi/attrs?source=hash-mapping
+  size: 56048
+  timestamp: 1722977241383
 - kind: conda
   name: babel
   version: 2.14.0
@@ -3197,7 +3162,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/babel?source=conda-forge-mapping
+  - pkg:pypi/babel?source=hash-mapping
   size: 7609750
   timestamp: 1702422720584
 - kind: conda
@@ -3215,43 +3180,42 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/beautifulsoup4?source=conda-forge-mapping
+  - pkg:pypi/beautifulsoup4?source=hash-mapping
   size: 118200
   timestamp: 1705564819537
 - kind: conda
   name: binutils_impl_linux-64
   version: '2.40'
-  build: ha1999f0_1
-  build_number: 1
+  build: ha1999f0_7
+  build_number: 7
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_1.conda
-  sha256: 852fd086e8b05da7650e8c532cfb391a532dc2d572f6aaadd5629d00a945bfe8
-  md5: e901545940ebdc5c40017fab53642b3c
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_impl_linux-64-2.40-ha1999f0_7.conda
+  sha256: 230f3136d17fdcf0e6da3a3ae59118570bc18106d79dd29bf2f341338d2a42c4
+  md5: 3f840c7ed70a96b5ebde8044b2f36f32
   depends:
-  - ld_impl_linux-64 2.40 hf3520f5_1
+  - ld_impl_linux-64 2.40 hf3520f5_7
   - sysroot_linux-64
   license: GPL-3.0-only
   license_family: GPL
   purls: []
-  size: 5528821
-  timestamp: 1716583458455
+  size: 6250821
+  timestamp: 1718625666382
 - kind: conda
   name: binutils_linux-64
   version: '2.40'
-  build: hdade7a5_3
-  build_number: 3
+  build: hb3c18ed_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hdade7a5_3.conda
-  sha256: d114b825acef51c1d065ca0a17f97e0e856c48765aecf2f8f164935635013dd2
-  md5: 2d9a60578bc28469d9aeef9aea5520c3
+  url: https://conda.anaconda.org/conda-forge/linux-64/binutils_linux-64-2.40-hb3c18ed_2.conda
+  sha256: cd45bfcc9baaf3e38a753dabe3bbb9d7c3fb7c0cc18d919130687e4cbb39c9ac
+  md5: e8255f2cf0772d7cde80d40c26028f53
   depends:
   - binutils_impl_linux-64 2.40.*
   - sysroot_linux-64
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 28868
-  timestamp: 1710259805994
+  size: 29699
+  timestamp: 1725663716797
 - kind: conda
   name: bleach
   version: 6.1.0
@@ -3270,396 +3234,415 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/bleach?source=conda-forge-mapping
+  - pkg:pypi/bleach?source=hash-mapping
   size: 131220
   timestamp: 1696630354218
 - kind: conda
   name: brotli
   version: 1.1.0
-  build: h0dc2134_1
-  build_number: 1
+  build: h00291cd_2
+  build_number: 2
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.1.0-h0dc2134_1.conda
-  sha256: 4bf66d450be5d3f9ebe029b50f818d088b1ef9666b1f19e90c85479c77bbdcde
-  md5: 9272dd3b19c4e8212f8542cefd5c3d67
-  depends:
-  - brotli-bin 1.1.0 h0dc2134_1
-  - libbrotlidec 1.1.0 h0dc2134_1
-  - libbrotlienc 1.1.0 h0dc2134_1
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 19530
-  timestamp: 1695990310168
-- kind: conda
-  name: brotli
-  version: 1.1.0
-  build: hb547adb_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-1.1.0-hb547adb_1.conda
-  sha256: 62d1587deab752fcee07adc371eb20fcadc09f72c0c85399c22b637ca858020f
-  md5: a33aa58d448cbc054f887e39dd1dfaea
+  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-1.1.0-h00291cd_2.conda
+  sha256: 624954bc08b3d7885a58c7d547282cfb9a201ce79b748b358f801de53e20f523
+  md5: 2db0c38a7f2321c5bdaf32b181e832c7
   depends:
-  - brotli-bin 1.1.0 hb547adb_1
-  - libbrotlidec 1.1.0 hb547adb_1
-  - libbrotlienc 1.1.0 hb547adb_1
+  - __osx >=10.13
+  - brotli-bin 1.1.0 h00291cd_2
+  - libbrotlidec 1.1.0 h00291cd_2
+  - libbrotlienc 1.1.0 h00291cd_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 19506
-  timestamp: 1695990588610
+  size: 19450
+  timestamp: 1725267851605
 - kind: conda
   name: brotli
   version: 1.1.0
-  build: hcfcfb64_1
-  build_number: 1
+  build: h2466b09_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.1.0-hcfcfb64_1.conda
-  sha256: b927c95121c5f3d82fe084730281739fb04621afebf2d9f05711a0f42d27e326
-  md5: f47f6db2528e38321fb00ae31674c133
+  url: https://conda.anaconda.org/conda-forge/win-64/brotli-1.1.0-h2466b09_2.conda
+  sha256: d8fd7d1b446706776117d2dcad1c0289b9f5e1521cb13405173bad38568dd252
+  md5: 378f1c9421775dfe644731cb121c8979
   depends:
-  - brotli-bin 1.1.0 hcfcfb64_1
-  - libbrotlidec 1.1.0 hcfcfb64_1
-  - libbrotlienc 1.1.0 hcfcfb64_1
+  - brotli-bin 1.1.0 h2466b09_2
+  - libbrotlidec 1.1.0 h2466b09_2
+  - libbrotlienc 1.1.0 h2466b09_2
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 19772
-  timestamp: 1695990547936
+  size: 19697
+  timestamp: 1725268293988
 - kind: conda
   name: brotli
   version: 1.1.0
-  build: hd590300_1
-  build_number: 1
+  build: hb9d3cd8_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hd590300_1.conda
-  sha256: f2d918d351edd06c55a6c2d84b488fe392f85ea018ff227daac07db22b408f6b
-  md5: f27a24d46e3ea7b70a1f98e50c62508f
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda
+  sha256: fcb0b5b28ba7492093e54f3184435144e074dfceab27ac8e6a9457e736565b0b
+  md5: 98514fe74548d768907ce7a13f680e8f
   depends:
-  - brotli-bin 1.1.0 hd590300_1
-  - libbrotlidec 1.1.0 hd590300_1
-  - libbrotlienc 1.1.0 hd590300_1
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - brotli-bin 1.1.0 hb9d3cd8_2
+  - libbrotlidec 1.1.0 hb9d3cd8_2
+  - libbrotlienc 1.1.0 hb9d3cd8_2
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 19383
-  timestamp: 1695990069230
+  size: 19264
+  timestamp: 1725267697072
 - kind: conda
-  name: brotli-bin
+  name: brotli
   version: 1.1.0
-  build: h0dc2134_1
-  build_number: 1
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.1.0-h0dc2134_1.conda
-  sha256: 7ca3cfb4c5df314ed481301335387ab2b2ee651e2c74fbb15bacc795c664a5f1
-  md5: ece565c215adcc47fc1db4e651ee094b
+  build: hd74edd7_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-1.1.0-hd74edd7_2.conda
+  sha256: a086f36ff68d6e30da625e910547f6211385246fb2474b144ac8c47c32254576
+  md5: 215e3dc8f2f837906d066e7f01aa77c0
   depends:
-  - libbrotlidec 1.1.0 h0dc2134_1
-  - libbrotlienc 1.1.0 h0dc2134_1
+  - __osx >=11.0
+  - brotli-bin 1.1.0 hd74edd7_2
+  - libbrotlidec 1.1.0 hd74edd7_2
+  - libbrotlienc 1.1.0 hd74edd7_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 16660
-  timestamp: 1695990286737
+  size: 19588
+  timestamp: 1725268044856
 - kind: conda
   name: brotli-bin
   version: 1.1.0
-  build: hb547adb_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.1.0-hb547adb_1.conda
-  sha256: 8fbfc2834606292016f2faffac67deea4c5cdbc21a61169f0b355e1600105a24
-  md5: 990d04f8c017b1b77103f9a7730a5f12
+  build: h00291cd_2
+  build_number: 2
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-bin-1.1.0-h00291cd_2.conda
+  sha256: 642a8492491109fd8270c1e2c33b18126712df0cedb94aaa2b1c6b02505a4bfa
+  md5: 049933ecbf552479a12c7917f0a4ce59
   depends:
-  - libbrotlidec 1.1.0 hb547adb_1
-  - libbrotlienc 1.1.0 hb547adb_1
+  - __osx >=10.13
+  - libbrotlidec 1.1.0 h00291cd_2
+  - libbrotlienc 1.1.0 h00291cd_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 17001
-  timestamp: 1695990551239
+  size: 16643
+  timestamp: 1725267837325
 - kind: conda
   name: brotli-bin
   version: 1.1.0
-  build: hcfcfb64_1
-  build_number: 1
+  build: h2466b09_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.1.0-hcfcfb64_1.conda
-  sha256: 4fbcb8f94acc97b2b04adbc64e304acd7c06fa0cf01953527bddae46091cc942
-  md5: 0105229d7c5fabaa840043a86c10ec64
+  url: https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.1.0-h2466b09_2.conda
+  sha256: f3bf2893613540ac256c68f211861c4de618d96291719e32178d894114ac2bc2
+  md5: d22534a9be5771fc58eb7564947f669d
   depends:
-  - libbrotlidec 1.1.0 hcfcfb64_1
-  - libbrotlienc 1.1.0 hcfcfb64_1
+  - libbrotlidec 1.1.0 h2466b09_2
+  - libbrotlienc 1.1.0 h2466b09_2
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 20885
-  timestamp: 1695990517506
+  size: 20837
+  timestamp: 1725268270219
 - kind: conda
   name: brotli-bin
   version: 1.1.0
-  build: hd590300_1
-  build_number: 1
+  build: hb9d3cd8_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hd590300_1.conda
-  sha256: a641abfbaec54f454c8434061fffa7fdaa9c695e8a5a400ed96b4f07c0c00677
-  md5: 39f910d205726805a958da408ca194ba
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.1.0-hb9d3cd8_2.conda
+  sha256: 261364d7445513b9a4debc345650fad13c627029bfc800655a266bf1e375bc65
+  md5: c63b5e52939e795ba8d26e35d767a843
   depends:
-  - libbrotlidec 1.1.0 hd590300_1
-  - libbrotlienc 1.1.0 hd590300_1
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libbrotlidec 1.1.0 hb9d3cd8_2
+  - libbrotlienc 1.1.0 hb9d3cd8_2
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 18980
-  timestamp: 1695990054140
+  size: 18881
+  timestamp: 1725267688731
 - kind: conda
-  name: brotli-python
+  name: brotli-bin
   version: 1.1.0
-  build: py312h30efb56_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h30efb56_1.conda
-  sha256: b68706698b6ac0d31196a8bcb061f0d1f35264bcd967ea45e03e108149a74c6f
-  md5: 45801a89533d3336a365284d93298e36
+  build: hd74edd7_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-bin-1.1.0-hd74edd7_2.conda
+  sha256: 28f1af63b49fddf58084fb94e5512ad46e9c453eb4be1d97449c67059e5b0680
+  md5: b8512db2145dc3ae8d86cdc21a8d421e
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - python >=3.12.0rc3,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  constrains:
-  - libbrotlicommon 1.1.0 hd590300_1
+  - __osx >=11.0
+  - libbrotlidec 1.1.0 hd74edd7_2
+  - libbrotlienc 1.1.0 hd74edd7_2
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/brotli?source=conda-forge-mapping
-  size: 350604
-  timestamp: 1695990206327
+  purls: []
+  size: 16772
+  timestamp: 1725268026061
 - kind: conda
   name: brotli-python
   version: 1.1.0
-  build: py312h53d5487_1
-  build_number: 1
+  build: py312h275cf98_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h53d5487_1.conda
-  sha256: 769e276ecdebf86f097786cbde1ebd11e018cd6cd838800995954fe6360e0797
-  md5: d01a6667b99f0e8ad4097af66c938e62
+  url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py312h275cf98_2.conda
+  sha256: f83baa6f6bcba7b73f6921d5c1aa95ffc5d8b246ade933ade79250de0a4c9c4c
+  md5: a99aec1ac46794a5fb1cd3cf5d2b6110
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   constrains:
-  - libbrotlicommon 1.1.0 hcfcfb64_1
+  - libbrotlicommon 1.1.0 h2466b09_2
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/brotli?source=conda-forge-mapping
-  size: 322514
-  timestamp: 1695991054894
+  - pkg:pypi/brotli?source=hash-mapping
+  size: 321874
+  timestamp: 1725268491976
 - kind: conda
   name: brotli-python
   version: 1.1.0
-  build: py312h9f69965_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312h9f69965_1.conda
-  sha256: 3418b1738243abba99e931c017b952771eeaa1f353c07f7d45b55e83bb74fcb3
-  md5: 1bc01b9ffdf42beb1a9fe4e9222e0567
+  build: py312h2ec8cdc_2
+  build_number: 2
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.1.0-py312h2ec8cdc_2.conda
+  sha256: f2a59ccd20b4816dea9a2a5cb917eb69728271dbf1aeab4e1b7e609330a50b6f
+  md5: b0b867af6fc74b2a0aa206da29c0f3cf
   depends:
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   constrains:
-  - libbrotlicommon 1.1.0 hb547adb_1
+  - libbrotlicommon 1.1.0 hb9d3cd8_2
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/brotli?source=conda-forge-mapping
-  size: 343435
-  timestamp: 1695990731924
+  - pkg:pypi/brotli?source=hash-mapping
+  size: 349867
+  timestamp: 1725267732089
 - kind: conda
   name: brotli-python
   version: 1.1.0
-  build: py312heafc425_1
-  build_number: 1
+  build: py312h5861a67_2
+  build_number: 2
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312heafc425_1.conda
-  sha256: fc55988f9bc05a938ea4b8c20d6545bed6e9c6c10aa5147695f981136ca894c1
-  md5: a288b88f06b8bfe0dedaf5c4b6ac6b7a
+  url: https://conda.anaconda.org/conda-forge/osx-64/brotli-python-1.1.0-py312h5861a67_2.conda
+  sha256: 265764ff4ad9e5cfefe7ea85c53d95157bf16ac2c0e5f190c528e4c9c0c1e2d0
+  md5: b95025822e43128835826ec0cc45a551
   depends:
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
+  - __osx >=10.13
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  constrains:
+  - libbrotlicommon 1.1.0 h00291cd_2
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/brotli?source=hash-mapping
+  size: 363178
+  timestamp: 1725267893889
+- kind: conda
+  name: brotli-python
+  version: 1.1.0
+  build: py312hde4cb15_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotli-python-1.1.0-py312hde4cb15_2.conda
+  sha256: 254b411fa78ccc226f42daf606772972466f93e9bc6895eabb4cfda22f5178af
+  md5: a83c2ef76ccb11bc2349f4f17696b15d
+  depends:
+  - __osx >=11.0
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
-  - libbrotlicommon 1.1.0 h0dc2134_1
+  - libbrotlicommon 1.1.0 hd74edd7_2
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/brotli?source=conda-forge-mapping
-  size: 366883
-  timestamp: 1695990710194
+  - pkg:pypi/brotli?source=hash-mapping
+  size: 339360
+  timestamp: 1725268143995
 - kind: conda
   name: bzip2
   version: 1.0.8
-  build: h10d778d_5
-  build_number: 5
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h10d778d_5.conda
-  sha256: 61fb2b488928a54d9472113e1280b468a309561caa54f33825a3593da390b242
-  md5: 6097a6ca9ada32699b5fc4312dd6ef18
+  build: h2466b09_7
+  build_number: 7
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-h2466b09_7.conda
+  sha256: 35a5dad92e88fdd7fc405e864ec239486f4f31eec229e31686e61a140a8e573b
+  md5: 276e7ffe9ffe39688abc665ef0f45596
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: bzip2-1.0.6
   license_family: BSD
   purls: []
-  size: 127885
-  timestamp: 1699280178474
+  size: 54927
+  timestamp: 1720974860185
 - kind: conda
   name: bzip2
   version: 1.0.8
-  build: h93a5062_5
-  build_number: 5
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h93a5062_5.conda
-  sha256: bfa84296a638bea78a8bb29abc493ee95f2a0218775642474a840411b950fe5f
-  md5: 1bbc659ca658bfd49a481b5ef7a0f40f
+  build: h4bc722e_7
+  build_number: 7
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda
+  sha256: 5ced96500d945fb286c9c838e54fa759aa04a7129c59800f0846b4335cee770d
+  md5: 62ee74e96c5ebb0af99386de58cf9553
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
   license: bzip2-1.0.6
   license_family: BSD
   purls: []
-  size: 122325
-  timestamp: 1699280294368
+  size: 252783
+  timestamp: 1720974456583
 - kind: conda
   name: bzip2
   version: 1.0.8
-  build: hcfcfb64_5
-  build_number: 5
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/bzip2-1.0.8-hcfcfb64_5.conda
-  sha256: ae5f47a5c86fd6db822931255dcf017eb12f60c77f07dc782ccb477f7808aab2
-  md5: 26eb8ca6ea332b675e11704cce84a3be
+  build: h99b78c6_7
+  build_number: 7
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h99b78c6_7.conda
+  sha256: adfa71f158cbd872a36394c56c3568e6034aa55c623634b37a4836bd036e6b91
+  md5: fc6948412dbbbe9a4c9ddbbcfe0a79ab
   depends:
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - __osx >=11.0
   license: bzip2-1.0.6
   license_family: BSD
   purls: []
-  size: 124580
-  timestamp: 1699280668742
+  size: 122909
+  timestamp: 1720974522888
 - kind: conda
   name: bzip2
   version: 1.0.8
-  build: hd590300_5
-  build_number: 5
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
-  sha256: 242c0c324507ee172c0e0dd2045814e746bb303d1eb78870d182ceb0abc726a8
-  md5: 69b8b6202a07720f448be700e300ccf4
+  build: hfdf4475_7
+  build_number: 7
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-hfdf4475_7.conda
+  sha256: cad153608b81fb24fc8c509357daa9ae4e49dfc535b2cb49b91e23dbd68fc3c5
+  md5: 7ed4301d437b59045be7e051a0308211
   depends:
-  - libgcc-ng >=12
+  - __osx >=10.13
   license: bzip2-1.0.6
   license_family: BSD
   purls: []
-  size: 254228
-  timestamp: 1699279927352
+  size: 134188
+  timestamp: 1720974491916
 - kind: conda
   name: c-ares
-  version: 1.28.1
-  build: h10d778d_0
+  version: 1.33.1
+  build: h44e7173_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.28.1-h10d778d_0.conda
-  sha256: fccd7ad7e3dfa6b19352705b33eb738c4c55f79f398e106e6cf03bab9415595a
-  md5: d5eb7992227254c0e9a0ce71151f0079
+  url: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.33.1-h44e7173_0.conda
+  sha256: 98b0ac09472e6737fc4685147d1755028cc650d428369cbe3cb74ab38b327095
+  md5: b31a2de5edfddb308dda802eab2956dc
+  depends:
+  - __osx >=10.13
   license: MIT
   license_family: MIT
   purls: []
-  size: 152607
-  timestamp: 1711819681694
+  size: 163203
+  timestamp: 1724438157472
 - kind: conda
   name: c-ares
-  version: 1.28.1
-  build: h93a5062_0
+  version: 1.33.1
+  build: hd74edd7_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.28.1-h93a5062_0.conda
-  sha256: 2fc553d7a75e912efbdd6b82cd7916cc9cb2773e6cd873b77e02d631dd7be698
-  md5: 04f776a6139f7eafc2f38668570eb7db
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.33.1-hd74edd7_0.conda
+  sha256: ad29a9cffa0504cb4bf7605963816feff3c7833f36b050e1e71912d09c38e3f6
+  md5: 5b69c16ee900aeffcf0103268d708518
+  depends:
+  - __osx >=11.0
   license: MIT
   license_family: MIT
   purls: []
-  size: 150488
-  timestamp: 1711819630164
+  size: 159389
+  timestamp: 1724438175204
 - kind: conda
   name: c-ares
-  version: 1.28.1
-  build: hd590300_0
+  version: 1.33.1
+  build: heb4867d_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda
-  sha256: cb25063f3342149c7924b21544109696197a9d774f1407567477d4f3026bf38a
-  md5: dcde58ff9a1f30b0037a2315d1846d1f
+  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.33.1-heb4867d_0.conda
+  sha256: 2cb24f613eaf2850b1a08f28f967b10d8bd44ef623efa0154dc45eb718776be6
+  md5: 0d3c60291342c0c025db231353376dfb
   depends:
-  - libgcc-ng >=12
+  - __glibc >=2.28,<3.0.a0
+  - libgcc-ng >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 168875
-  timestamp: 1711819445938
+  size: 182796
+  timestamp: 1724438109690
 - kind: conda
   name: ca-certificates
-  version: 2024.2.2
+  version: 2024.8.30
   build: h56e8100_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.2.2-h56e8100_0.conda
-  sha256: 4d587088ecccd393fec3420b64f1af4ee1a0e6897a45cfd5ef38055322cea5d0
-  md5: 63da060240ab8087b60d1357051ea7d6
+  url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2024.8.30-h56e8100_0.conda
+  sha256: 0fcac3a7ffcc556649e034a1802aedf795e64227eaa7194d207b01eaf26454c4
+  md5: 4c4fd67c18619be5aa65dc5b6c72e490
   license: ISC
   purls: []
-  size: 155886
-  timestamp: 1706843918052
+  size: 158773
+  timestamp: 1725019107649
 - kind: conda
   name: ca-certificates
-  version: 2024.2.2
+  version: 2024.8.30
   build: h8857fd0_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.2.2-h8857fd0_0.conda
-  sha256: 54a794aedbb4796afeabdf54287b06b1d27f7b13b3814520925f4c2c80f58ca9
-  md5: f2eacee8c33c43692f1ccfd33d0f50b1
+  url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.8.30-h8857fd0_0.conda
+  sha256: 593f302d0f44c2c771e1614ee6d56fffdc7d616e6f187669c8b0e34ffce3e1ae
+  md5: b7e5424e7f06547a903d28e4651dbb21
   license: ISC
   purls: []
-  size: 155665
-  timestamp: 1706843838227
+  size: 158665
+  timestamp: 1725019059295
 - kind: conda
   name: ca-certificates
-  version: 2024.2.2
+  version: 2024.8.30
   build: hbcca054_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
-  sha256: 91d81bfecdbb142c15066df70cc952590ae8991670198f92c66b62019b251aeb
-  md5: 2f4327a1cbe7f022401b236e915a5fef
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.8.30-hbcca054_0.conda
+  sha256: afee721baa6d988e27fef1832f68d6f32ac8cc99cdf6015732224c2841a09cea
+  md5: c27d1c142233b5bc9ca570c6e2e0c244
   license: ISC
   purls: []
-  size: 155432
-  timestamp: 1706843687645
+  size: 159003
+  timestamp: 1725018903918
 - kind: conda
   name: ca-certificates
-  version: 2024.2.2
+  version: 2024.8.30
   build: hf0a4a13_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.2.2-hf0a4a13_0.conda
-  sha256: 49bc3439816ac72d0c0e0f144b8cc870fdcc4adec2e861407ec818d8116b2204
-  md5: fb416a1795f18dcc5a038bc2dc54edf9
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.8.30-hf0a4a13_0.conda
+  sha256: 2db1733f4b644575dbbdd7994a8f338e6ef937f5ebdb74acd557e9dda0211709
+  md5: 40dec13fd8348dbe303e57be74bd3d35
   license: ISC
   purls: []
-  size: 155725
-  timestamp: 1706844034242
+  size: 158482
+  timestamp: 1725019034582
 - kind: conda
   name: cached-property
   version: 1.5.2
@@ -3674,8 +3657,7 @@ packages:
   - cached_property >=1.5.2,<1.5.3.0a0
   license: BSD-3-Clause
   license_family: BSD
-  purls:
-  - pkg:pypi/cached-property?source=conda-forge-mapping
+  purls: []
   size: 4134
   timestamp: 1615209571450
 - kind: conda
@@ -3693,135 +3675,162 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/cached-property?source=conda-forge-mapping
+  - pkg:pypi/cached-property?source=hash-mapping
   size: 11065
   timestamp: 1615209567874
 - kind: conda
   name: cairo
   version: 1.18.0
-  build: h3faef2a_0
+  build: h32b962e_3
+  build_number: 3
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.0-h32b962e_3.conda
+  sha256: 127101c9c2d1a56f8791c19141ceff13fd1d1a1da28cfaca549dc99d210cec6a
+  md5: 8f43723a4925c51e55c2d81725a97db4
+  depends:
+  - fontconfig >=2.14.2,<3.0a0
+  - fonts-conda-ecosystem
+  - freetype >=2.12.1,<3.0a0
+  - icu >=75.1,<76.0a0
+  - libglib >=2.80.3,<3.0a0
+  - libpng >=1.6.43,<1.7.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pixman >=0.43.4,<1.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zlib
+  license: LGPL-2.1-only or MPL-1.1
+  purls: []
+  size: 1516680
+  timestamp: 1721139332360
+- kind: conda
+  name: cairo
+  version: 1.18.0
+  build: hebfffa5_3
+  build_number: 3
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda
-  sha256: 142e2639a5bc0e99c44d76f4cc8dce9c6a2d87330c4beeabb128832cd871a86e
-  md5: f907bb958910dc404647326ca80c263e
+  url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-hebfffa5_3.conda
+  sha256: aee5b9e6ef71cdfb2aee9beae3ea91910ca761c01c0ef32052e3f94a252fa173
+  md5: fceaedf1cdbcb02df9699a0d9b005292
   depends:
+  - __glibc >=2.17,<3.0.a0
   - fontconfig >=2.14.2,<3.0a0
   - fonts-conda-ecosystem
   - freetype >=2.12.1,<3.0a0
-  - icu >=73.2,<74.0a0
+  - icu >=75.1,<76.0a0
   - libgcc-ng >=12
-  - libglib >=2.78.0,<3.0a0
-  - libpng >=1.6.39,<1.7.0a0
+  - libglib >=2.80.3,<3.0a0
+  - libpng >=1.6.43,<1.7.0a0
   - libstdcxx-ng >=12
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - pixman >=0.42.2,<1.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pixman >=0.43.2,<1.0a0
   - xorg-libice >=1.1.1,<2.0a0
   - xorg-libsm >=1.2.4,<2.0a0
-  - xorg-libx11 >=1.8.6,<2.0a0
+  - xorg-libx11 >=1.8.9,<2.0a0
   - xorg-libxext >=1.3.4,<2.0a0
   - xorg-libxrender >=0.9.11,<0.10.0a0
   - zlib
   license: LGPL-2.1-only or MPL-1.1
   purls: []
-  size: 982351
-  timestamp: 1697028423052
+  size: 983604
+  timestamp: 1721138900054
 - kind: conda
   name: certifi
-  version: 2024.2.2
+  version: 2024.8.30
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
-  sha256: f1faca020f988696e6b6ee47c82524c7806380b37cfdd1def32f92c326caca54
-  md5: 0876280e409658fc6f9e75d035960333
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.8.30-pyhd8ed1ab_0.conda
+  sha256: 7020770df338c45ac6b560185956c32f0a5abf4b76179c037f115fc7d687819f
+  md5: 12f7d00853807b0531775e9be891cb11
   depends:
   - python >=3.7
   license: ISC
   purls:
-  - pkg:pypi/certifi?source=conda-forge-mapping
-  size: 160559
-  timestamp: 1707022289175
+  - pkg:pypi/certifi?source=hash-mapping
+  size: 163752
+  timestamp: 1725278204397
 - kind: conda
   name: cffi
-  version: 1.16.0
-  build: py312h38bf5a0_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.16.0-py312h38bf5a0_0.conda
-  sha256: 8b856583b56fc30f064a7cb286f85e4b5725f2bd4fda8ba0c4e94bffe258741e
-  md5: a45759c013ab20b9017ef9539d234dd7
+  version: 1.17.1
+  build: py312h06ac9bb_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.17.1-py312h06ac9bb_0.conda
+  sha256: cba6ea83c4b0b4f5b5dc59cb19830519b28f95d7ebef7c9c5cf1c14843621457
+  md5: a861504bbea4161a9170b85d4d2be840
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libffi >=3.4,<4.0a0
+  - libgcc >=13
   - pycparser
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/cffi?source=conda-forge-mapping
-  size: 282370
-  timestamp: 1696002004433
+  - pkg:pypi/cffi?source=hash-mapping
+  size: 294403
+  timestamp: 1725560714366
 - kind: conda
   name: cffi
-  version: 1.16.0
-  build: py312h8e38eb3_0
+  version: 1.17.1
+  build: py312h0fad829_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.16.0-py312h8e38eb3_0.conda
-  sha256: 1544403cb1a5ca2aeabf0dac86d9ce6066d6fb4363493643b33ffd1b78038d18
-  md5: 960ecbd65860d3b1de5e30373e1bffb1
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/cffi-1.17.1-py312h0fad829_0.conda
+  sha256: 8d91a0d01358b5c3f20297c6c536c5d24ccd3e0c2ddd37f9d0593d0f0070226f
+  md5: 19a5456f72f505881ba493979777b24e
   depends:
+  - __osx >=11.0
   - libffi >=3.4,<4.0a0
   - pycparser
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/cffi?source=conda-forge-mapping
-  size: 284245
-  timestamp: 1696002181644
+  - pkg:pypi/cffi?source=hash-mapping
+  size: 281206
+  timestamp: 1725560813378
 - kind: conda
   name: cffi
-  version: 1.16.0
-  build: py312he70551f_0
+  version: 1.17.1
+  build: py312h4389bb4_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/cffi-1.16.0-py312he70551f_0.conda
-  sha256: dd39e594f5c6bca52dfed343de2af9326a99700ce2ba3404bd89706926fc0137
-  md5: 5a51096925d52332c62bfd8904899055
+  url: https://conda.anaconda.org/conda-forge/win-64/cffi-1.17.1-py312h4389bb4_0.conda
+  sha256: ac007bf5fd56d13e16d95eea036433012f2e079dc015505c8a79efebbad1fcbc
+  md5: 08310c1a22ef957d537e547f8d484f92
   depends:
   - pycparser
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/cffi?source=conda-forge-mapping
-  size: 287805
-  timestamp: 1696002408940
+  - pkg:pypi/cffi?source=hash-mapping
+  size: 288142
+  timestamp: 1725560896359
 - kind: conda
   name: cffi
-  version: 1.16.0
-  build: py312hf06ca03_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cffi-1.16.0-py312hf06ca03_0.conda
-  sha256: 5a36e2c254603c367d26378fa3a205bd92263e30acf195f488749562b4c44251
-  md5: 56b0ca764ce23cc54f3f7e2a7b970f6d
+  version: 1.17.1
+  build: py312hf857d28_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.17.1-py312hf857d28_0.conda
+  sha256: 94fe49aed25d84997e2630d6e776a75ee2a85bd64f258702c57faa4fe2986902
+  md5: 5bbc69b8194fedc2792e451026cac34f
   depends:
+  - __osx >=10.13
   - libffi >=3.4,<4.0a0
-  - libgcc-ng >=12
   - pycparser
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/cffi?source=conda-forge-mapping
-  size: 294523
-  timestamp: 1696001868949
+  - pkg:pypi/cffi?source=hash-mapping
+  size: 282425
+  timestamp: 1725560725144
 - kind: conda
   name: cfgv
   version: 3.3.1
@@ -3836,7 +3845,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/cfgv?source=conda-forge-mapping
+  - pkg:pypi/cfgv?source=hash-mapping
   size: 10788
   timestamp: 1629909423398
 - kind: conda
@@ -3853,7 +3862,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/charset-normalizer?source=conda-forge-mapping
+  - pkg:pypi/charset-normalizer?source=hash-mapping
   size: 46597
   timestamp: 1698833765762
 - kind: conda
@@ -3870,7 +3879,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/colorama?source=conda-forge-mapping
+  - pkg:pypi/colorama?source=hash-mapping
   size: 25170
   timestamp: 1666700778190
 - kind: conda
@@ -3888,157 +3897,169 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/comm?source=conda-forge-mapping
+  - pkg:pypi/comm?source=hash-mapping
   size: 12134
   timestamp: 1710320435158
 - kind: conda
   name: contourpy
-  version: 1.2.1
-  build: py312h0d7def4_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.2.1-py312h0d7def4_0.conda
-  sha256: 3af3de9a099d9ab88d24d0956c3acb838a774b64e52afa25abeed7b31c1174ef
-  md5: bc0160f16ae02e18de578eaddadd4f61
+  version: 1.3.0
+  build: py312h6142ec9_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.3.0-py312h6142ec9_1.conda
+  sha256: 74bec4e0536c178c52832db030bc050eed5b9a86e6448ed4dc8eb8db4ceddabe
+  md5: 241dbb81597bd5da8e36f624dad1ece1
   depends:
-  - numpy >=1.20
+  - __osx >=11.0
+  - libcxx >=17
+  - numpy >=1.23
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/contourpy?source=conda-forge-mapping
-  size: 206433
-  timestamp: 1712430299728
+  - pkg:pypi/contourpy?source=hash-mapping
+  size: 246729
+  timestamp: 1725378844777
 - kind: conda
   name: contourpy
-  version: 1.2.1
-  build: py312h0fef576_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.2.1-py312h0fef576_0.conda
-  sha256: 89bb5c2f1f5daed13240d5fccfc51cd63b92293cee690c8b0a8f633971e588bb
-  md5: f825cced50aa6ae9f6ae158a49ecb68c
+  version: 1.3.0
+  build: py312h68727a3_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.0-py312h68727a3_1.conda
+  sha256: e459bc2d05fabfffcf9bf1f3725e36a5ef64ae7f0b5af312eeaed2e0519e22c8
+  md5: 6b9f9141c247bdd61a2d6d37e0a8b530
   depends:
-  - libcxx >=16
-  - numpy >=1.20
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - numpy >=1.23
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/contourpy?source=conda-forge-mapping
-  size: 239915
-  timestamp: 1712430307181
+  - pkg:pypi/contourpy?source=hash-mapping
+  size: 272322
+  timestamp: 1725378526351
 - kind: conda
   name: contourpy
-  version: 1.2.1
-  build: py312h8572e83_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.2.1-py312h8572e83_0.conda
-  sha256: b0731336b9788c247b11a592352f700a647119340b549aba9e933835c7c77df0
-  md5: 12c6a831ef734f0b2dd4caff514cbb7f
+  version: 1.3.0
+  build: py312hc5c4d5f_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.3.0-py312hc5c4d5f_1.conda
+  sha256: 9ccd546024da0a3d2695e21d780f75745b3427047dc073ce88ef545f5bf2e3df
+  md5: 68996da74a346963430ace9984d627b4
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - numpy >=1.20
+  - __osx >=10.13
+  - libcxx >=17
+  - numpy >=1.23
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/contourpy?source=conda-forge-mapping
-  size: 256764
-  timestamp: 1712430146809
+  - pkg:pypi/contourpy?source=hash-mapping
+  size: 256566
+  timestamp: 1725378501399
 - kind: conda
   name: contourpy
-  version: 1.2.1
-  build: py312h9230928_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.2.1-py312h9230928_0.conda
-  sha256: 3879ed298cc9ec5486d13b7d65da960c813925837fe67fc385c9b31f7eefddc0
-  md5: 079df34ce7c71259cfdd394645370891
+  version: 1.3.0
+  build: py312hd5eb7cc_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/contourpy-1.3.0-py312hd5eb7cc_1.conda
+  sha256: 557d32fd30108c4fd44fba60621e30519c1fcf6a361cfd8bef1f3e3eac51eb99
+  md5: 1e7201bef33d1d3da3bf95bf0c273879
   depends:
-  - libcxx >=16
-  - numpy >=1.20
+  - numpy >=1.23
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/contourpy?source=conda-forge-mapping
-  size: 248928
-  timestamp: 1712430234380
+  - pkg:pypi/contourpy?source=hash-mapping
+  size: 214543
+  timestamp: 1725378879919
 - kind: conda
   name: coverage
-  version: 7.5.3
-  build: py312h4389bb4_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.5.3-py312h4389bb4_0.conda
-  sha256: a28c73ff92bbf5912b36e9eb73cd3baf3713ad77349988b612bfe3d57f9b8a09
-  md5: 9473b7c6d6656d151aa4e33596bb0deb
+  version: 7.6.1
+  build: py312h024a12e_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/coverage-7.6.1-py312h024a12e_1.conda
+  sha256: 984f0e7b2ae7fdbb7c34d581c33f049c17aa5ac982246f1f2e63c56b17b50e52
+  md5: 6b98fe7947dbc5a91c1e995cf3352002
   depends:
+  - __osx >=11.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - tomli
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/coverage?source=conda-forge-mapping
-  size: 385419
-  timestamp: 1716931749807
+  - pkg:pypi/coverage?source=hash-mapping
+  size: 363130
+  timestamp: 1724954141864
 - kind: conda
   name: coverage
-  version: 7.5.3
-  build: py312h7e5086c_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/coverage-7.5.3-py312h7e5086c_0.conda
-  sha256: a645427a6a5a5f82a392f37c356689269866f1bb06494f5c7aceec72640b00b6
-  md5: 3631dadcec974f1fb49efa995338db70
+  version: 7.6.1
+  build: py312h4389bb4_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/coverage-7.6.1-py312h4389bb4_1.conda
+  sha256: cca6398754855d8ffa8412b58a4439f0f183013ae730962ef9cc8150525f3871
+  md5: 49b4e0600c84e7d53aae4c042f1e2e4a
   depends:
-  - __osx >=11.0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - tomli
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/coverage?source=conda-forge-mapping
-  size: 358952
-  timestamp: 1716931333247
+  - pkg:pypi/coverage?source=hash-mapping
+  size: 388697
+  timestamp: 1724954338520
 - kind: conda
   name: coverage
-  version: 7.5.3
-  build: py312h9a8786e_0
+  version: 7.6.1
+  build: py312h66e93f0_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.5.3-py312h9a8786e_0.conda
-  sha256: 1d42ae67b21d7bb836ac66a85f90da88be3939ca7980a1ad882c271deb9acd6e
-  md5: f01930d0afe8ac5f8062c98e6b8d1fd0
+  url: https://conda.anaconda.org/conda-forge/linux-64/coverage-7.6.1-py312h66e93f0_1.conda
+  sha256: 1ad422ed302e3630b26e23238bd1d047674b153c4f0a99e7773faa591aa7eab9
+  md5: 5dc6e358ee0af388564bd0eba635cf9e
   depends:
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tomli
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/coverage?source=conda-forge-mapping
-  size: 359527
-  timestamp: 1716931082787
+  - pkg:pypi/coverage?source=hash-mapping
+  size: 363627
+  timestamp: 1724953903049
 - kind: conda
   name: coverage
-  version: 7.5.3
-  build: py312hbd25219_0
+  version: 7.6.1
+  build: py312hb553811_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/coverage-7.5.3-py312hbd25219_0.conda
-  sha256: ff5d5320fa1312efdf044d23e7a4e31134af99be7998d86b6fcea456c708297d
-  md5: 135eeb22a4da903e2d06c4323b459003
+  url: https://conda.anaconda.org/conda-forge/osx-64/coverage-7.6.1-py312hb553811_1.conda
+  sha256: fd0f5c84ef943618b378592e74010831a7962127e2759ea75437117ad3f00eee
+  md5: 49f066bb9337fd34a4c9c09f576ce136
   depends:
   - __osx >=10.13
   - python >=3.12,<3.13.0a0
@@ -4047,395 +4068,395 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/coverage?source=conda-forge-mapping
-  size: 358490
-  timestamp: 1716931167938
+  - pkg:pypi/coverage?source=hash-mapping
+  size: 362574
+  timestamp: 1724954071768
 - kind: conda
   name: cuda-cccl_linux-64
-  version: 12.5.39
+  version: 12.6.37
   build: ha770c72_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.5.39-ha770c72_0.conda
-  sha256: c3a6421fbe529db62ba2db38ec05944996f570117a0307b270d37aec9b4eddff
-  md5: 1196ad96550a485d6c988d84839e93db
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.6.37-ha770c72_0.conda
+  sha256: a53b89a708375193d0f22c7166278bb6f289ac992c7c9b460019d963ab612bcb
+  md5: 891091c29d53f1ecc1dd19a53f2581ac
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 1354110
-  timestamp: 1716328285059
+  size: 1072391
+  timestamp: 1722608389859
 - kind: conda
   name: cuda-crt-dev_linux-64
-  version: 12.5.40
+  version: 12.6.68
   build: ha770c72_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.5.40-ha770c72_0.conda
-  sha256: fb77118fcf859d9d2b25c0b1db23df39302359a2aaecfce4a20a1be7152ad7bf
-  md5: adf66999e96bf3c87190c694d49fed48
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.6.68-ha770c72_0.conda
+  sha256: aef313c549aa41d18a3cbdb91d5d2eeb2c5b32112ef1ec210838b73302d0d58c
+  md5: 379e26d4ecc04f2bf00b7216176f70a7
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 87385
-  timestamp: 1716385188045
+  size: 87541
+  timestamp: 1724960324737
 - kind: conda
   name: cuda-crt-tools
-  version: 12.5.40
+  version: 12.6.68
   build: ha770c72_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.5.40-ha770c72_0.conda
-  sha256: cdf00fe01d8f3a86c4df85853a0962cc3292a85cab44c032e3f206d3a696f582
-  md5: 3c6bb9bd29688ae7db63f162c31a79f6
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-crt-tools-12.6.68-ha770c72_0.conda
+  sha256: 9fff1414170d360d7a0e93f7479c6366a9ccb583bb75b28f83d02c833837d396
+  md5: 3ff1b27e3ba24f6ef76cff22f745adfe
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 26432
-  timestamp: 1716385207199
+  size: 26260
+  timestamp: 1724960329305
 - kind: conda
   name: cuda-cudart
-  version: 12.5.39
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.5.39-he02047a_0.conda
-  sha256: 356abe63148a07bff646258071899ccb9713914a23a0a925a737adfd141cd27c
-  md5: c60967d2a1a54ea3ca3660cf6249de36
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-12.6.68-h5888daf_0.conda
+  sha256: 0b318ea3434dec641a7ac408ca75049f4684a68a71e4c8d0a78362d52e335502
+  md5: 0b7d12eb06cc4c88f1afb51ca403866d
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-cudart_linux-64 12.5.39 h85509e4_0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-cudart_linux-64 12.6.68 h3f2d84a_0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 22582
-  timestamp: 1716331837792
+  size: 22421
+  timestamp: 1724956837719
 - kind: conda
   name: cuda-cudart-dev
-  version: 12.5.39
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.5.39-he02047a_0.conda
-  sha256: 798e23c9d027451b3e5907c81b30a246a14357d4d0c5a1912046035ad5b77fa7
-  md5: 7c85081a6ffba35bc52c27f8afa9c398
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-dev-12.6.68-h5888daf_0.conda
+  sha256: e567ca222de565a71821c1a901ca1059108b713e6260b1a00b0a5aa3668aa360
+  md5: 441525ec5713d64171fe3e1f037169d3
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-cudart 12.5.39 he02047a_0
-  - cuda-cudart-dev_linux-64 12.5.39 h85509e4_0
-  - cuda-cudart-static 12.5.39 he02047a_0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-cudart 12.6.68 h5888daf_0
+  - cuda-cudart-dev_linux-64 12.6.68 h3f2d84a_0
+  - cuda-cudart-static 12.6.68 h5888daf_0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 23061
-  timestamp: 1716331865205
+  size: 22849
+  timestamp: 1724956860901
 - kind: conda
   name: cuda-cudart-dev_linux-64
-  version: 12.5.39
-  build: h85509e4_0
+  version: 12.6.68
+  build: h3f2d84a_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.5.39-h85509e4_0.conda
-  sha256: c6ca66c985118904c28c119c4581cc13d1229f764367eeceeeb32d59cf0338e7
-  md5: 7d312740938701c854d434714a38e296
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-dev_linux-64-12.6.68-h3f2d84a_0.conda
+  sha256: 5b704308f42f6a071995c18a389c93f10cd5edb503471ef4bfe9a2d97e6384c6
+  md5: f9ea76842b2194b20eec3bbcd603ddaa
   depends:
   - cuda-cccl_linux-64
   - cuda-cudart-static_linux-64
   - cuda-cudart_linux-64
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 366049
-  timestamp: 1716331843861
+  size: 365390
+  timestamp: 1724956842631
 - kind: conda
   name: cuda-cudart-static
-  version: 12.5.39
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.5.39-he02047a_0.conda
-  sha256: f0361dc14687d55ae28571b9bbef3358c7c8202f76c7be81a02194f102b21efe
-  md5: c99976910ac10a5a1cd58fcb09311303
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cudart-static-12.6.68-h5888daf_0.conda
+  sha256: 597c0b93b78a336d2e6ded15c1e2644116bbda071107be7571ad7b5c326efbd9
+  md5: 429aa2c0e9bd974594b73dabbd30b69c
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-cudart-static_linux-64 12.5.39 h85509e4_0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-cudart-static_linux-64 12.6.68 h3f2d84a_0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 22664
-  timestamp: 1716331851590
+  size: 22452
+  timestamp: 1724956849270
 - kind: conda
   name: cuda-cudart-static_linux-64
-  version: 12.5.39
-  build: h85509e4_0
+  version: 12.6.68
+  build: h3f2d84a_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.5.39-h85509e4_0.conda
-  sha256: 9a1d415463c46230029744fd5f0d976ed1857031df5bc806d9692250d8c12e13
-  md5: bef4ae216ed3fbc759a58605e0a69f5d
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart-static_linux-64-12.6.68-h3f2d84a_0.conda
+  sha256: 4afbfe1a05914ada4b550ad8bbe91366018a74f8f54e73564f13400d4bb0dc2c
+  md5: 3f844a41c281876742c243ad8f7a3487
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 741994
-  timestamp: 1716331804040
+  size: 760037
+  timestamp: 1724956819230
 - kind: conda
   name: cuda-cudart_linux-64
-  version: 12.5.39
-  build: h85509e4_0
+  version: 12.6.68
+  build: h3f2d84a_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.5.39-h85509e4_0.conda
-  sha256: cdf5a049e368dc306637071e5a6779df2a3a67e48d5f6fddedab939a33775bdb
-  md5: 32bc114164d5ca4ad38f775316506d0b
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-cudart_linux-64-12.6.68-h3f2d84a_0.conda
+  sha256: 89cdca6b404920a70a7d3565189f7d37fcfd3505018cda74ae18407c7ed22595
+  md5: 324647f838d7554ed6ebd6d28139d17f
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 187630
-  timestamp: 1716331825540
+  size: 187973
+  timestamp: 1724956827608
 - kind: conda
   name: cuda-cupti
-  version: 12.5.39
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.5.39-he02047a_0.conda
-  sha256: 921d13c303702ece7113c5487cd4e9d4ac150b49a7ecefb77997d27cbfc805b1
-  md5: 067614625e27625220ed63f0e592b99e
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-cupti-12.6.68-h5888daf_0.conda
+  sha256: 0b29fab14064df7fcd0530b0df6920d60e924f52cacc1dc8bcb3deb24e0f5ea1
+  md5: ee55a34660af08e4b5ccd24c777f02bf
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 1946788
-  timestamp: 1716318528923
+  size: 1973226
+  timestamp: 1724956978398
 - kind: conda
   name: cuda-driver-dev_linux-64
-  version: 12.5.39
-  build: h85509e4_0
+  version: 12.6.68
+  build: h3f2d84a_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.5.39-h85509e4_0.conda
-  sha256: 98cec21420ad25b8eaeb1d9e47140c25d9a77cd98b75765af0700a7da56330d0
-  md5: 6e9282de982cecc39f735dbe48312f7b
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.6.68-h3f2d84a_0.conda
+  sha256: 3bdc14082abd45fb6f68a45494d0c6d61842e7525f97396449529e7e075d041d
+  md5: abd042dea6b41be2bbec096832e57a5e
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 36404
-  timestamp: 1716331831753
+  size: 35770
+  timestamp: 1724956832799
 - kind: conda
   name: cuda-nvcc
-  version: 12.5.40
+  version: 12.6.68
   build: hcdd1206_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.5.40-hcdd1206_0.conda
-  sha256: b4b1bb8487f7ba9c4b86061653f08c63c60bec9671f866066b75f085a276b8e5
-  md5: 2a68e542d4d58ef24eb265d5d306fb3d
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-12.6.68-hcdd1206_0.conda
+  sha256: 000f688375f51950c36f2dfd27601776ae065f7461fd3fc0299a127dea6514b8
+  md5: 60c8560721164000444f788331dc4342
   depends:
-  - cuda-nvcc_linux-64 12.5.40.*
+  - cuda-nvcc_linux-64 12.6.68.*
   - gcc_linux-64
   - gxx_linux-64
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 23780
-  timestamp: 1716399166053
+  size: 23538
+  timestamp: 1724973275940
 - kind: conda
   name: cuda-nvcc-dev_linux-64
-  version: 12.5.40
-  build: ha770c72_0
+  version: 12.6.68
+  build: he91c749_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.5.40-ha770c72_0.conda
-  sha256: 0442e045480dd01fb495fce930e6877ab6cbc6dd2f4a19c682d9743828d6404a
-  md5: f49632352a60f0fbfb2a1d5c42ccaff9
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-nvcc-dev_linux-64-12.6.68-he91c749_0.conda
+  sha256: 86f0b22ab26ce3ccb01d7e6589a57c0e1355a300fc7322cfe8f203dfe4cf4e2a
+  md5: ff8941d6cd2cc1a8a86772324d6df85e
   depends:
-  - cuda-crt-dev_linux-64 12.5.40 ha770c72_0
-  - cuda-nvvm-dev_linux-64 12.5.40 ha770c72_0
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-crt-dev_linux-64 12.6.68 ha770c72_0
+  - cuda-nvvm-dev_linux-64 12.6.68 ha770c72_0
+  - cuda-version >=12.6,<12.7.0a0
   - libgcc-ng >=6
   constrains:
-  - gcc_impl_linux-64 >=6,<13
+  - gcc_impl_linux-64 >=6,<14.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 11436997
-  timestamp: 1716385314895
+  size: 11351670
+  timestamp: 1724960430257
 - kind: conda
   name: cuda-nvcc-impl
-  version: 12.5.40
-  build: hd3aeb46_0
+  version: 12.6.68
+  build: h85509e4_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.5.40-hd3aeb46_0.conda
-  sha256: e32305ad70861d67f6bb99a8e5a7f3152663a3209446958d404e9a9b3f156422
-  md5: e28565b58cb211bc508e6c555ca02fab
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-impl-12.6.68-h85509e4_0.conda
+  sha256: fd7a268512471d90f777d8a9eb3c8fb88b1c23b965ed4e71fa73a3d7522a291d
+  md5: dd171a9bf2f5388e0a0accff84026aaf
   depends:
-  - __glibc >=2.17,<3.0.a0
-  - cuda-cudart >=12.5.39,<13.0a0
+  - cuda-cudart >=12.6.68,<13.0a0
   - cuda-cudart-dev
-  - cuda-nvcc-dev_linux-64 12.5.40 ha770c72_0
-  - cuda-nvcc-tools 12.5.40 hd3aeb46_0
-  - cuda-nvvm-impl 12.5.40 h59595ed_0
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-nvcc-dev_linux-64 12.6.68 he91c749_0
+  - cuda-nvcc-tools 12.6.68 he02047a_0
+  - cuda-nvvm-impl 12.6.68 he02047a_0
+  - cuda-version >=12.6,<12.7.0a0
   constrains:
-  - gcc_impl_linux-64 >=6,<13
+  - gcc_impl_linux-64 >=6,<14.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 24809
-  timestamp: 1716385346771
+  size: 24568
+  timestamp: 1724960461873
 - kind: conda
   name: cuda-nvcc-tools
-  version: 12.5.40
-  build: hd3aeb46_0
+  version: 12.6.68
+  build: he02047a_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.5.40-hd3aeb46_0.conda
-  sha256: 9ad65a5b7077bbd676e870d4c24604b1b1c65d631270fc69ff00e436e11b10ca
-  md5: 98cd9496694e49b22ca12b3da4969b47
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc-tools-12.6.68-he02047a_0.conda
+  sha256: 42f9003155eec3d699dd8272e5d97867834594f356f84a6627fcef30e9a1dfbb
+  md5: 61730380c89bc2f13b18898d8ffa062d
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-crt-tools 12.5.40 ha770c72_0
-  - cuda-nvvm-tools 12.5.40 h59595ed_0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-crt-tools 12.6.68 ha770c72_0
+  - cuda-nvvm-tools 12.6.68 he02047a_0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=12
+  - libstdcxx >=12
   constrains:
-  - gcc_impl_linux-64 >=6,<13
+  - gcc_impl_linux-64 >=6,<14.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 23883968
-  timestamp: 1716385271169
+  size: 23941791
+  timestamp: 1724960385139
 - kind: conda
   name: cuda-nvcc_linux-64
-  version: 12.5.40
+  version: 12.6.68
   build: h8a487aa_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.5.40-h8a487aa_0.conda
-  sha256: 08615c4477161fb541f906933a2ca63e3a85eff7d3c80ab05085cd691fdd2a48
-  md5: 16b05232da3562cdfa7dea56131990e1
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvcc_linux-64-12.6.68-h8a487aa_0.conda
+  sha256: 2d66de6f16dcc628e533c70323170e6705a3dd17cbaee010b00604ff0409a603
+  md5: b012c2467ff3e1f71634fba6f9680867
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-cudart-dev_linux-64 12.5.*
-  - cuda-driver-dev_linux-64 12.5.*
-  - cuda-nvcc-dev_linux-64 12.5.40.*
-  - cuda-nvcc-impl 12.5.40.*
-  - cuda-nvcc-tools 12.5.40.*
+  - cuda-cudart-dev_linux-64 12.6.*
+  - cuda-driver-dev_linux-64 12.6.*
+  - cuda-nvcc-dev_linux-64 12.6.68.*
+  - cuda-nvcc-impl 12.6.68.*
+  - cuda-nvcc-tools 12.6.68.*
   - sysroot_linux-64 >=2.17,<3.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 25487
-  timestamp: 1716399158733
+  size: 25263
+  timestamp: 1724973272933
 - kind: conda
   name: cuda-nvrtc
-  version: 12.5.40
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.5.40-he02047a_0.conda
-  sha256: 9c38d103deb425631d0aee9555a72f17a5ccc5d1108fc9980b3124de534a5fbb
-  md5: fd873f7d082eb09b64f2845c5bf5b873
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvrtc-12.6.68-h5888daf_0.conda
+  sha256: 2d83714b08566debee557ac7d00c2483943cf21b1c1acb59743830b165a6b1b2
+  md5: 827a5f2dbfd33e7ff3925c9d145fee5a
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 19013340
-  timestamp: 1716320007011
+  size: 18126968
+  timestamp: 1724957899086
 - kind: conda
   name: cuda-nvtx
-  version: 12.5.39
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.5.39-he02047a_0.conda
-  sha256: d350153fc49a89eb9eb9c9a4b549de9b3047b94529d76ae512a31a12c62ed323
-  md5: 83e70531447952503b0f9681ce3a42ca
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvtx-12.6.68-h5888daf_0.conda
+  sha256: bd67598f7ca91ddf326173eb21dd95e9f513335f6754630aec3eb1e031f10101
+  md5: 0b186c8d486129b58bf5f367b1364766
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 31664
-  timestamp: 1716318996982
+  size: 31321
+  timestamp: 1724957562199
 - kind: conda
   name: cuda-nvvm-dev_linux-64
-  version: 12.5.40
+  version: 12.6.68
   build: ha770c72_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.5.40-ha770c72_0.conda
-  sha256: 65bd2959336d5dbe46dff8425f62135e16db853a79d6608ef969b1a3fbe5f904
-  md5: 3ef2eae0f780bdd301dca19d9923ea72
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.6.68-ha770c72_0.conda
+  sha256: 620dad9d7caf07015d729cb5353dd58d2f7215c2199be0d5957a2fffd4cb1054
+  md5: 473413de667e1ff907ff6157d79584da
   depends:
-  - cuda-version >=12.5,<12.6.0a0
+  - cuda-version >=12.6,<12.7.0a0
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 24408
-  timestamp: 1716385213249
+  size: 24252
+  timestamp: 1724960333152
 - kind: conda
   name: cuda-nvvm-impl
-  version: 12.5.40
-  build: h59595ed_0
+  version: 12.6.68
+  build: he02047a_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.5.40-h59595ed_0.conda
-  sha256: 6980665f9d9ac77ebde5b5c4536370fbbfb6ed8bf96c4e7120b6547485b19aac
-  md5: 94a9b0d015c658b8f5a094ef0d3fdade
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-impl-12.6.68-he02047a_0.conda
+  sha256: c9c0eebcdbebc8171e3e12f09d6c54a8c5ba666a8cb3629dd4b447bbecf5df4d
+  md5: e11179a97c9f6c152cbeb3307116d27c
   depends:
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=12
+  - libstdcxx >=12
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 9065157
-  timestamp: 1716385224595
+  size: 8070387
+  timestamp: 1724960343511
 - kind: conda
   name: cuda-nvvm-tools
-  version: 12.5.40
-  build: h59595ed_0
+  version: 12.6.68
+  build: he02047a_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.5.40-h59595ed_0.conda
-  sha256: aa095e0377dac42653fd0942f537e9778c5e60ecaaafc971af95bc7fe1634483
-  md5: 00c31a1db8e5659809a205a942b4ab9a
+  url: https://conda.anaconda.org/conda-forge/linux-64/cuda-nvvm-tools-12.6.68-he02047a_0.conda
+  sha256: 86ccfcbdc1cb8d96fa2d3314a8f3c9c0bebb7c3335de4ad686a51a870038bc55
+  md5: ca417ac0e26f79f641a0626e390eb7b1
   depends:
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=12
+  - libstdcxx >=12
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 11675741
-  timestamp: 1716385244494
+  size: 10865275
+  timestamp: 1724960361940
 - kind: conda
   name: cuda-version
-  version: '12.5'
-  build: hd4f0392_3
+  version: '12.6'
+  build: h7480c83_3
   build_number: 3
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.5-hd4f0392_3.conda
-  sha256: e45a5d14909296abd0784a073da9ee5c420fa58671fbc999f8a9ec898cf3486b
-  md5: 6ae1a563a4aa61e55e8ae8260f0d021b
+  url: https://conda.anaconda.org/conda-forge/noarch/cuda-version-12.6-h7480c83_3.conda
+  sha256: fd9104d73199040285b6a6ad56322b38af04828fabbac1f5a268a83509358425
+  md5: 1c8b99e65a4423b1e4ac2e4c76fb0978
   constrains:
+  - cudatoolkit 12.6|12.6.*
   - __cuda >=12
-  - cudatoolkit 12.5|12.5.*
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 21151
-  timestamp: 1716314536803
+  size: 20940
+  timestamp: 1722603990914
 - kind: conda
   name: cudnn
-  version: 8.9.7.29
-  build: h092f7fd_3
-  build_number: 3
+  version: 9.2.1.18
+  build: hbc370b7_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/cudnn-8.9.7.29-h092f7fd_3.conda
-  sha256: 27156736f5a0a30e6fb426f35216b903968b58bdf209d0a04b6eeb6530838456
-  md5: 2242eab289d88f2f819f8aee5aa49823
+  url: https://conda.anaconda.org/conda-forge/linux-64/cudnn-9.2.1.18-hbc370b7_0.conda
+  sha256: 109fb2b1e9a2099a1ff0f821e88940e9139d3361fcde0cc0d9d677f2170751f2
+  md5: 93b7247aa39def997f9024e5d6ce0303
   depends:
   - __glibc >=2.17,<3.0.a0
   - cuda-nvrtc
@@ -4444,11 +4465,11 @@ packages:
   - libcublas
   - libgcc-ng >=12
   - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.2.13,<2.0a0
   license: LicenseRef-cuDNN-Software-License-Agreement
   purls: []
-  size: 468267309
-  timestamp: 1710307755197
+  size: 400148246
+  timestamp: 1724158266489
 - kind: conda
   name: cycler
   version: 0.12.1
@@ -4463,7 +4484,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/cycler?source=conda-forge-mapping
+  - pkg:pypi/cycler?source=hash-mapping
   size: 13458
   timestamp: 1696677888423
 - kind: pypi
@@ -4494,80 +4515,87 @@ packages:
   timestamp: 1640112124844
 - kind: conda
   name: debugpy
-  version: 1.8.1
-  build: py312h20a0b95_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.1-py312h20a0b95_0.conda
-  sha256: d8ae528ddf391511387bb4c67d7dd4ad3cb808ee9b093429379803cf58a13807
-  md5: d850abbd9eeedbe2e734e397038f3f76
+  version: 1.8.5
+  build: py312h275cf98_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.5-py312h275cf98_1.conda
+  sha256: 44403893fe8d5c2b3416d8377fce34f04b3cb8f4dc79e19161b024cde6814df3
+  md5: 51b54280745ac5573ed0937c71c0e514
   depends:
-  - libcxx >=16
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/debugpy?source=conda-forge-mapping
-  size: 2077038
-  timestamp: 1707445014387
+  - pkg:pypi/debugpy?source=hash-mapping
+  size: 3174333
+  timestamp: 1725269561740
 - kind: conda
   name: debugpy
-  version: 1.8.1
-  build: py312h30efb56_0
+  version: 1.8.5
+  build: py312h2ec8cdc_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.1-py312h30efb56_0.conda
-  sha256: 8a8bd15c7a8435991649ab334816d4d64970c5b0d016f59806bc45f54f31a924
-  md5: bdd639417094ace2fb1ce10b20d68d5d
+  url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.8.5-py312h2ec8cdc_1.conda
+  sha256: 63b027e5605955d22d6bd491316c81876363bce36c7b5fea006a664337d77686
+  md5: f89b813bd9fe5ae6e3b7d17e17801f68
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/debugpy?source=conda-forge-mapping
-  size: 2079306
-  timestamp: 1707444570818
+  - pkg:pypi/debugpy?source=hash-mapping
+  size: 2085616
+  timestamp: 1725269284102
 - kind: conda
   name: debugpy
-  version: 1.8.1
-  build: py312h53d5487_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/debugpy-1.8.1-py312h53d5487_0.conda
-  sha256: 5e8beecf42088481c88aa97118c52b2142f0e0d48ffed877e973c309c7fc83af
-  md5: 4094ccb019f079de8b0f61a5f366d294
+  version: 1.8.5
+  build: py312h5861a67_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.5-py312h5861a67_1.conda
+  sha256: 5ad4567872a0aa9f0dace65d9f6b4315f452df7d238bec6a4482c5527b7762fc
+  md5: 87fcafa1ac8e06b6acd5ee95632adf87
   depends:
+  - __osx >=10.13
+  - libcxx >=17
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/debugpy?source=conda-forge-mapping
-  size: 3105043
-  timestamp: 1707445249662
+  - pkg:pypi/debugpy?source=hash-mapping
+  size: 2059098
+  timestamp: 1725269547461
 - kind: conda
   name: debugpy
-  version: 1.8.1
-  build: py312hede676d_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/debugpy-1.8.1-py312hede676d_0.conda
-  sha256: f957393cb09e3df00176079253e0f845ab8c87dbca3c38e1a14df21ffe9d7083
-  md5: e0de4e018d6013b6c2e2ae42640fb65c
+  version: 1.8.5
+  build: py312hde4cb15_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/debugpy-1.8.5-py312hde4cb15_1.conda
+  sha256: 5124effa4a8238c6b49be9ac71cf2c8a20712fbf62a0f76527f14ba618bc9441
+  md5: d1489234be14b26357641e8a80b4a093
   depends:
-  - libcxx >=16
+  - __osx >=11.0
+  - libcxx >=17
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/debugpy?source=conda-forge-mapping
-  size: 2065572
-  timestamp: 1707444822563
+  - pkg:pypi/debugpy?source=hash-mapping
+  size: 2092223
+  timestamp: 1725269494048
 - kind: conda
   name: decorator
   version: 5.1.1
@@ -4582,7 +4610,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/decorator?source=conda-forge-mapping
+  - pkg:pypi/decorator?source=hash-mapping
   size: 12072
   timestamp: 1641555714315
 - kind: conda
@@ -4599,7 +4627,7 @@ packages:
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/defusedxml?source=conda-forge-mapping
+  - pkg:pypi/defusedxml?source=hash-mapping
   size: 24062
   timestamp: 1615232388757
 - kind: conda
@@ -4616,9 +4644,42 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/distlib?source=conda-forge-mapping
+  - pkg:pypi/distlib?source=hash-mapping
   size: 274915
   timestamp: 1702383349284
+- kind: conda
+  name: double-conversion
+  version: 3.3.0
+  build: h59595ed_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.3.0-h59595ed_0.conda
+  sha256: 9eee491a73b67fd64379cf715f85f8681568ebc1f02f9e11b4c50d46a3323544
+  md5: c2f83a5ddadadcdb08fe05863295ee97
+  depends:
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 78645
+  timestamp: 1686489937183
+- kind: conda
+  name: double-conversion
+  version: 3.3.0
+  build: h63175ca_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/double-conversion-3.3.0-h63175ca_0.conda
+  sha256: 735d40b44a0f39386d1e2988384b6d78a98efd4fa1818e7f2f6fb01f91e16b64
+  md5: 1a8bc18b24014167b2184c5afbe6037e
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 70425
+  timestamp: 1686490368655
 - kind: conda
   name: entrypoints
   version: '0.4'
@@ -4633,26 +4694,25 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/entrypoints?source=conda-forge-mapping
+  - pkg:pypi/entrypoints?source=hash-mapping
   size: 9199
   timestamp: 1643888357950
 - kind: conda
   name: exceptiongroup
-  version: 1.2.0
-  build: pyhd8ed1ab_2
-  build_number: 2
+  version: 1.2.2
+  build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.0-pyhd8ed1ab_2.conda
-  sha256: a6ae416383bda0e3ed14eaa187c653e22bec94ff2aa3b56970cdf0032761e80d
-  md5: 8d652ea2ee8eaee02ed8dc820bc794aa
+  url: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0.conda
+  sha256: e0edd30c4b7144406bb4da975e6bb97d6bc9c0e999aa4efe66ae108cada5d5b5
+  md5: d02ae936e42063ca46af6cdad2dbd1e0
   depends:
   - python >=3.7
   license: MIT and PSF-2.0
   purls:
-  - pkg:pypi/exceptiongroup?source=conda-forge-mapping
-  size: 20551
-  timestamp: 1704921321122
+  - pkg:pypi/exceptiongroup?source=hash-mapping
+  size: 20418
+  timestamp: 1720869435725
 - kind: conda
   name: execnet
   version: 2.1.1
@@ -4667,135 +4727,77 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/execnet?source=conda-forge-mapping
+  - pkg:pypi/execnet?source=hash-mapping
   size: 38883
   timestamp: 1712591929944
 - kind: conda
   name: executing
-  version: 2.0.1
+  version: 2.1.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/executing-2.0.1-pyhd8ed1ab_0.conda
-  sha256: c738804ab1e6376f8ea63372229a04c8d658dc90fd5a218c6273a2eaf02f4057
-  md5: e16be50e378d8a4533b989035b196ab8
+  url: https://conda.anaconda.org/conda-forge/noarch/executing-2.1.0-pyhd8ed1ab_0.conda
+  sha256: a52d7516e2e11d3eb10908e10d3eb3f8ef267fea99ed9b09d52d96c4db3441b8
+  md5: d0441db20c827c11721889a241df1220
   depends:
   - python >=2.7
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/executing?source=conda-forge-mapping
-  size: 27689
-  timestamp: 1698580072627
+  - pkg:pypi/executing?source=hash-mapping
+  size: 28337
+  timestamp: 1725214501850
 - kind: conda
   name: expat
-  version: 2.6.2
-  build: h59595ed_0
+  version: 2.6.3
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda
-  sha256: 89916c536ae5b85bb8bf0cfa27d751e274ea0911f04e4a928744735c14ef5155
-  md5: 53fb86322bdb89496d7579fe3f02fd61
+  url: https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.3-h5888daf_0.conda
+  sha256: 65bd479c75ce876f26600cb230d6ebc474086e31fa384af9b4282b36842ed7e2
+  md5: 6595440079bed734b113de44ffd3cd0a
   depends:
-  - libexpat 2.6.2 h59595ed_0
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libexpat 2.6.3 h5888daf_0
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 137627
-  timestamp: 1710362144873
+  size: 137891
+  timestamp: 1725568750673
 - kind: conda
-  name: fancycompleter
-  version: 0.9.1
-  build: py312h2e8e312_1007
-  build_number: 1007
+  name: expat
+  version: 2.6.3
+  build: he0c23c2_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/fancycompleter-0.9.1-py312h2e8e312_1007.conda
-  sha256: a080b6260b1de3c2c0948624446470fb2fcf3f6d02cdcdaa088a8327a6b88644
-  md5: 287b890afe09a2233c7ad6aa8ab72054
-  depends:
-  - pyreadline
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/fancycompleter?source=conda-forge-mapping
-  size: 26576
-  timestamp: 1709161215793
-- kind: conda
-  name: fancycompleter
-  version: 0.9.1
-  build: py312h7900ff3_1007
-  build_number: 1007
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/fancycompleter-0.9.1-py312h7900ff3_1007.conda
-  sha256: 12f78c53b9dac0ecfb1650a339bf8b950ba8f127a108eb09c3adda44a79ef31c
-  md5: 9dfab523f1136690d861fe337034dbee
-  depends:
-  - pyrepl >=0.8.2
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/fancycompleter?source=conda-forge-mapping
-  size: 26174
-  timestamp: 1709160998274
-- kind: conda
-  name: fancycompleter
-  version: 0.9.1
-  build: py312h81bd7bf_1007
-  build_number: 1007
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/fancycompleter-0.9.1-py312h81bd7bf_1007.conda
-  sha256: 895d2bdd1e56d28be8be0a46adbce92fcdf08e1b0dca073b99f2f4b5211603f9
-  md5: 3b30d90c8ca61010a6f85eb9ce2a049f
-  depends:
-  - pyrepl >=0.8.2
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/fancycompleter?source=conda-forge-mapping
-  size: 26498
-  timestamp: 1709161451678
-- kind: conda
-  name: fancycompleter
-  version: 0.9.1
-  build: py312hb401068_1007
-  build_number: 1007
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/fancycompleter-0.9.1-py312hb401068_1007.conda
-  sha256: 22d5df9f357c4b30d9d4d0984250a1e6a58f0d16ac5853ba307224dc1d66d8a5
-  md5: 0ccaba6336343b212b27900963777012
+  url: https://conda.anaconda.org/conda-forge/win-64/expat-2.6.3-he0c23c2_0.conda
+  sha256: 627651a36fe659ce08d79e8bcad00dc5fc35c6e63eb51e5d15a30a7605251998
+  md5: a85588222941f75577eb39711058e1de
   depends:
-  - pyrepl >=0.8.2
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/fancycompleter?source=conda-forge-mapping
-  size: 26543
-  timestamp: 1709161334911
+  - libexpat 2.6.3 he0c23c2_0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 230615
+  timestamp: 1725569133557
 - kind: conda
   name: filelock
-  version: 3.14.0
+  version: 3.16.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/filelock-3.14.0-pyhd8ed1ab_0.conda
-  sha256: 6031be667e1b0cc0dee713f1cbca887cdee4daafa8bac478da33096f3147d38b
-  md5: 831d85ae0acfba31b8efd0f0d07da736
+  url: https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.0-pyhd8ed1ab_0.conda
+  sha256: f55c9af3d92a363fa9e4f164038db85a028befb65d56df0b2cb34911eba8a37a
+  md5: ec288789b07ae3be555046e099798a56
   depends:
   - python >=3.7
   license: Unlicense
   purls:
-  - pkg:pypi/filelock?source=conda-forge-mapping
-  size: 15902
-  timestamp: 1714422911808
+  - pkg:pypi/filelock?source=hash-mapping
+  size: 17402
+  timestamp: 1725740654220
 - kind: conda
   name: font-ttf-dejavu-sans-mono
   version: '2.37'
@@ -4872,6 +4874,27 @@ packages:
   purls: []
   size: 272010
   timestamp: 1674828850194
+- kind: conda
+  name: fontconfig
+  version: 2.14.2
+  build: hbde0cde_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/fontconfig-2.14.2-hbde0cde_0.conda
+  sha256: 643f2b95be68abeb130c53d543dcd0c1244bebabd58c774a21b31e4b51ac3c96
+  md5: 08767992f1a4f1336a257af1241034bd
+  depends:
+  - expat >=2.5.0,<3.0a0
+  - freetype >=2.12.1,<3.0a0
+  - libiconv >=1.17,<2.0a0
+  - libzlib >=1.2.13,<2.0.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vs2015_runtime >=14.29.30139
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 190111
+  timestamp: 1674829354122
 - kind: conda
   name: fonts-conda-ecosystem
   version: '1'
@@ -4909,75 +4932,80 @@ packages:
   timestamp: 1566932280397
 - kind: conda
   name: fonttools
-  version: 4.53.0
-  build: py312h4389bb4_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.53.0-py312h4389bb4_0.conda
-  sha256: 0ee09cfd9085188ba5025784471dbed7ac9b9d4c335837ad9e83db8bf6dd71e4
-  md5: 8a2e27d4a2e4d38f2f605d2c902ad8c3
+  version: 4.53.1
+  build: py312h024a12e_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.53.1-py312h024a12e_1.conda
+  sha256: c5b5ca1f92028e0e90a6205375bd8e7f5892eb4d0a2ba6ce2933ed78ef0d13b3
+  md5: 5b9a2bdebe4a0652ef570212f470afcf
   depends:
+  - __osx >=11.0
   - brotli
   - munkres
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/fonttools?source=conda-forge-mapping
-  size: 2403967
-  timestamp: 1717209956772
+  - pkg:pypi/fonttools?source=hash-mapping
+  size: 2718315
+  timestamp: 1725391752926
 - kind: conda
   name: fonttools
-  version: 4.53.0
-  build: py312h7e5086c_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.53.0-py312h7e5086c_0.conda
-  sha256: ef300fcc681ec3218622868e9a073870546ab957708e709e6df32dfd787aa4d0
-  md5: 498008567a4abf4cd2f61f112ff53648
+  version: 4.53.1
+  build: py312h4389bb4_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.53.1-py312h4389bb4_1.conda
+  sha256: 0f0300e6c6053d9f16844af06c60650c59e20f1e4b1a944bdf0b23377fb2f616
+  md5: 6663e0f27c39d39504617e4fe4da3bf6
   depends:
-  - __osx >=11.0
   - brotli
   - munkres
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/fonttools?source=conda-forge-mapping
-  size: 2725521
-  timestamp: 1717209760583
+  - pkg:pypi/fonttools?source=hash-mapping
+  size: 2406661
+  timestamp: 1725391814010
 - kind: conda
   name: fonttools
-  version: 4.53.0
-  build: py312h9a8786e_0
+  version: 4.53.1
+  build: py312h66e93f0_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.53.0-py312h9a8786e_0.conda
-  sha256: 807618ba95becec0607e71b47f4f88679bce0924fc7926fe5715708a448b38e2
-  md5: 8490346e9d5efd7a6869582aa0c95b25
+  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.53.1-py312h66e93f0_1.conda
+  sha256: 19e4bc017b219e02de712e948d48a23c8bb98dabe741c807949c7fb48abe71d8
+  md5: 7abb7d39d482ac3b8e27e6c0fff3b168
   depends:
+  - __glibc >=2.17,<3.0.a0
   - brotli
-  - libgcc-ng >=12
+  - libgcc >=13
   - munkres
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/fonttools?source=conda-forge-mapping
-  size: 2823081
-  timestamp: 1717209380114
+  - pkg:pypi/fonttools?source=hash-mapping
+  size: 2797458
+  timestamp: 1725391437161
 - kind: conda
   name: fonttools
-  version: 4.53.0
-  build: py312hbd25219_0
+  version: 4.53.1
+  build: py312hb553811_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.53.0-py312hbd25219_0.conda
-  sha256: 4f1cc0c19a9a214a12613f570eb9736f68be02af89c386b23df3447fe9c0f5b9
-  md5: ce2e9b0279cbbae03017ec7be748b255
+  url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.53.1-py312hb553811_1.conda
+  sha256: 09f1d89bb6ecff8704162a5bd8c1309a978ad5e3a3a4dfe009ea22fb75d070cb
+  md5: df00a7504c74682d63ae89c32687a3a2
   depends:
   - __osx >=10.13
   - brotli
@@ -4987,9 +5015,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/fonttools?source=conda-forge-mapping
-  size: 2741413
-  timestamp: 1717209389839
+  - pkg:pypi/fonttools?source=hash-mapping
+  size: 2724931
+  timestamp: 1725391478296
 - kind: conda
   name: fqdn
   version: 1.5.1
@@ -5005,7 +5033,7 @@ packages:
   license: MPL-2.0
   license_family: MOZILLA
   purls:
-  - pkg:pypi/fqdn?source=conda-forge-mapping
+  - pkg:pypi/fqdn?source=hash-mapping
   size: 14395
   timestamp: 1638810388635
 - kind: conda
@@ -5078,303 +5106,115 @@ packages:
   timestamp: 1694616398888
 - kind: conda
   name: gcc_impl_linux-64
-  version: 12.3.0
-  build: h58ffeeb_7
-  build_number: 7
+  version: 13.3.0
+  build: hfea6d02_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-12.3.0-h58ffeeb_7.conda
-  sha256: a86af41f4b240ce86f05bc81cac1d10d272bc57e63ebab779aedc887e329e0c1
-  md5: 95f78565a09852783d3e90e0389cfa5f
+  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-13.3.0-hfea6d02_1.conda
+  sha256: 998ade1d487e93fc8a7a16b90e2af69ebb227355bf4646488661f7ae5887873c
+  md5: 0d043dbc126b64f79d915a0e96d3a1d5
   depends:
   - binutils_impl_linux-64 >=2.40
-  - libgcc-devel_linux-64 12.3.0 h0223996_107
-  - libgcc-ng >=12.3.0
-  - libgomp >=12.3.0
-  - libsanitizer 12.3.0 hb8811af_7
-  - libstdcxx-ng >=12.3.0
+  - libgcc >=13.3.0
+  - libgcc-devel_linux-64 13.3.0 h84ea5a7_101
+  - libgomp >=13.3.0
+  - libsanitizer 13.3.0 heb74ff8_1
+  - libstdcxx >=13.3.0
   - sysroot_linux-64
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 51128234
-  timestamp: 1715016710479
+  size: 67464415
+  timestamp: 1724801227937
 - kind: conda
   name: gcc_linux-64
-  version: 12.3.0
-  build: h6477408_3
-  build_number: 3
+  version: 13.3.0
+  build: hc28eda2_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-12.3.0-h6477408_3.conda
-  sha256: 836692c3d4948f25a19f9071db40f7788edcb342d771786a206a6a122f92365d
-  md5: 7a53f84c45bdf4656ba27b9e9ed68b3d
+  url: https://conda.anaconda.org/conda-forge/linux-64/gcc_linux-64-13.3.0-hc28eda2_2.conda
+  sha256: 92066334371cdf7213fcd9920679548d2a74e35c7fb99f36320bee0af382854e
+  md5: fc9381129eccc8eb9ccac7dc5bdff487
   depends:
-  - binutils_linux-64 2.40 hdade7a5_3
-  - gcc_impl_linux-64 12.3.0.*
+  - binutils_linux-64 2.40 hb3c18ed_2
+  - gcc_impl_linux-64 13.3.0.*
   - sysroot_linux-64
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 30977
-  timestamp: 1710260096918
+  size: 31975
+  timestamp: 1725664109968
 - kind: conda
-  name: gettext
-  version: 0.22.5
-  build: h59595ed_2
-  build_number: 2
+  name: graphite2
+  version: 1.3.13
+  build: h59595ed_1003
+  build_number: 1003
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.22.5-h59595ed_2.conda
-  sha256: 386181254ddd2aed1fccdfc217da5b6545f6df4e9979ad8e08f5e91e22eaf7dc
-  md5: 219ba82e95d7614cf7140d2a4afc0926
+  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
+  sha256: 0595b009f20f8f60f13a6398e7cdcbd2acea5f986633adcf85f5a2283c992add
+  md5: f87c7b7c2cb45f323ffbce941c78ab7c
   depends:
-  - gettext-tools 0.22.5 h59595ed_2
-  - libasprintf 0.22.5 h661eb56_2
-  - libasprintf-devel 0.22.5 h661eb56_2
   - libgcc-ng >=12
-  - libgettextpo 0.22.5 h59595ed_2
-  - libgettextpo-devel 0.22.5 h59595ed_2
   - libstdcxx-ng >=12
-  license: LGPL-2.1-or-later AND GPL-3.0-or-later
-  purls: []
-  size: 475058
-  timestamp: 1712512357949
-- kind: conda
-  name: gettext-tools
-  version: 0.22.5
-  build: h59595ed_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-tools-0.22.5-h59595ed_2.conda
-  sha256: 67d7b1d6fe4f1c516df2000640ec7dcfebf3ff6ea0785f0276870e730c403d33
-  md5: 985f2f453fb72408d6b6f1be0f324033
-  depends:
-  - libgcc-ng >=12
-  license: GPL-3.0-or-later
-  license_family: GPL
+  license: LGPL-2.0-or-later
+  license_family: LGPL
   purls: []
-  size: 2728420
-  timestamp: 1712512328692
+  size: 96855
+  timestamp: 1711634169756
 - kind: conda
-  name: glib
-  version: 2.80.2
-  build: h0df6a38_0
+  name: graphite2
+  version: 1.3.13
+  build: h63175ca_1003
+  build_number: 1003
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/glib-2.80.2-h0df6a38_0.conda
-  sha256: 8d4ebee8bfef919212e8c692f88cfa3f5f393501338ca1f1df83bbc2f0f3b6e7
-  md5: a728ca6f04c33ecb0f39eeda5fbd0e23
+  url: https://conda.anaconda.org/conda-forge/win-64/graphite2-1.3.13-h63175ca_1003.conda
+  sha256: 25040a4f371b9b51663f546bac620122c237fa1d5d32968e21b0751af9b7f56f
+  md5: 3194499ee7d1a67404a87d0eefdd92c6
   depends:
-  - glib-tools 2.80.2 h2f9d560_0
-  - libffi >=3.4,<4.0a0
-  - libglib 2.80.2 h0df6a38_0
-  - libintl >=0.22.5,<1.0a0
-  - libintl-devel
-  - python *
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
-  license: LGPL-2.1-or-later
+  license: LGPL-2.0-or-later
+  license_family: LGPL
   purls: []
-  size: 571410
-  timestamp: 1715253202444
+  size: 95406
+  timestamp: 1711634622644
 - kind: conda
-  name: glib
-  version: 2.80.2
-  build: hf974151_0
+  name: gxx_impl_linux-64
+  version: 13.3.0
+  build: hdbfa832_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/glib-2.80.2-hf974151_0.conda
-  sha256: d10a0f194d2c125617352a81a4ff43a17cf5835e88e8f151da9f9710e2db176d
-  md5: d427988dc3dbd0a4c136f52db356cc6a
+  url: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-13.3.0-hdbfa832_1.conda
+  sha256: 746dff24bb1efc89ab0ec108838d0711683054e3bbbcb94d042943410a98eca1
+  md5: 806367e23a0a6ad21e51875b34c57d7e
   depends:
-  - glib-tools 2.80.2 hb6ce0ca_0
-  - libffi >=3.4,<4.0a0
-  - libgcc-ng >=12
-  - libglib 2.80.2 hf974151_0
-  - python *
-  license: LGPL-2.1-or-later
+  - gcc_impl_linux-64 13.3.0 hfea6d02_1
+  - libstdcxx-devel_linux-64 13.3.0 h84ea5a7_101
+  - sysroot_linux-64
+  - tzdata
+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
   purls: []
-  size: 600389
-  timestamp: 1715252749399
+  size: 13337720
+  timestamp: 1724801455825
 - kind: conda
-  name: glib-tools
-  version: 2.80.2
-  build: h2f9d560_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/glib-tools-2.80.2-h2f9d560_0.conda
-  sha256: 2ac7b9cf3cf57a7cec3c431133a989cc783673858fb4225232c03e5ae28bd1db
-  md5: 42fc785d9db7ab051a206fbf882ecf2e
+  name: gxx_linux-64
+  version: 13.3.0
+  build: h6834431_2
+  build_number: 2
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-13.3.0-h6834431_2.conda
+  sha256: c7068865cf3ad48bdbed352bf114400da27b7f29df4cb77b501235809d8762b7
+  md5: b2d6c882e578b90802f9bf6ea0b13593
   depends:
-  - libglib 2.80.2 h0df6a38_0
-  - libintl >=0.22.5,<1.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: LGPL-2.1-or-later
-  purls: []
-  size: 94852
-  timestamp: 1715253157140
-- kind: conda
-  name: glib-tools
-  version: 2.80.2
-  build: hb6ce0ca_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.80.2-hb6ce0ca_0.conda
-  sha256: 221cd047f998301b96b1517d9f7d3fb0e459e8ee18778a1211f302496f6e110d
-  md5: a965aeaf060289528a3fbe09326edae2
-  depends:
-  - libgcc-ng >=12
-  - libglib 2.80.2 hf974151_0
-  license: LGPL-2.1-or-later
-  purls: []
-  size: 114359
-  timestamp: 1715252713902
-- kind: conda
-  name: graphite2
-  version: 1.3.13
-  build: h59595ed_1003
-  build_number: 1003
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h59595ed_1003.conda
-  sha256: 0595b009f20f8f60f13a6398e7cdcbd2acea5f986633adcf85f5a2283c992add
-  md5: f87c7b7c2cb45f323ffbce941c78ab7c
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  purls: []
-  size: 96855
-  timestamp: 1711634169756
-- kind: conda
-  name: gst-plugins-base
-  version: 1.24.4
-  build: h9ad1361_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.24.4-h9ad1361_0.conda
-  sha256: 4726f1905bbc84b44c8a78a53c0b2bc20b0f6780614b897e83bdfb9f1f94e9d5
-  md5: 147cce520ec59367549fd0d96d404213
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - alsa-lib >=1.2.11,<1.3.0a0
-  - gstreamer 1.24.4 haf2f30d_0
-  - libexpat >=2.6.2,<3.0a0
-  - libgcc-ng >=12
-  - libglib >=2.80.2,<3.0a0
-  - libogg >=1.3.4,<1.4.0a0
-  - libopus >=1.3.1,<2.0a0
-  - libpng >=1.6.43,<1.7.0a0
-  - libstdcxx-ng >=12
-  - libvorbis >=1.3.7,<1.4.0a0
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0a0
-  - xorg-libx11 >=1.8.9,<2.0a0
-  - xorg-libxau >=1.0.11,<2.0a0
-  - xorg-libxext >=1.3.4,<2.0a0
-  - xorg-libxrender >=0.9.11,<0.10.0a0
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  purls: []
-  size: 2784812
-  timestamp: 1717008701241
-- kind: conda
-  name: gst-plugins-base
-  version: 1.24.4
-  build: hba88be7_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/gst-plugins-base-1.24.4-hba88be7_0.conda
-  sha256: 76ad01a5d20a37f0113fedd79ee74cc9d9fff24bf8e396ce2f70a7d358de6b13
-  md5: 0b1d683d462029446924fa87a50dda12
-  depends:
-  - gstreamer 1.24.4 h5006eae_0
-  - libglib >=2.80.2,<3.0a0
-  - libintl >=0.22.5,<1.0a0
-  - libogg >=1.3.4,<1.4.0a0
-  - libvorbis >=1.3.7,<1.4.0a0
-  - libzlib >=1.2.13,<2.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  purls: []
-  size: 2065294
-  timestamp: 1717009247100
-- kind: conda
-  name: gstreamer
-  version: 1.24.4
-  build: h5006eae_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/gstreamer-1.24.4-h5006eae_0.conda
-  sha256: 6653ba5b7f698020a6278fc12afd41b8f76b7477af4a5eb732ff0b8fafaa1b0a
-  md5: 3d7ebad364d5f63a1ae54eecb35aee31
-  depends:
-  - glib >=2.80.2,<3.0a0
-  - libglib >=2.80.2,<3.0a0
-  - libiconv >=1.17,<2.0a0
-  - libintl >=0.22.5,<1.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  purls: []
-  size: 2029614
-  timestamp: 1717009051538
-- kind: conda
-  name: gstreamer
-  version: 1.24.4
-  build: haf2f30d_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gstreamer-1.24.4-haf2f30d_0.conda
-  sha256: d20031196ed30ee5eb1e225f6cf0ed605d95158612589602a9d893a7386a4608
-  md5: 926c2c7ee7a0b48d6d70783a33f7bc80
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - glib >=2.80.2,<3.0a0
-  - libgcc-ng >=12
-  - libglib >=2.80.2,<3.0a0
-  - libiconv >=1.17,<2.0a0
-  - libstdcxx-ng >=12
-  license: LGPL-2.0-or-later
-  license_family: LGPL
-  purls: []
-  size: 2019311
-  timestamp: 1717008522417
-- kind: conda
-  name: gxx_impl_linux-64
-  version: 12.3.0
-  build: h2a574ab_7
-  build_number: 7
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-12.3.0-h2a574ab_7.conda
-  sha256: c7a577846ae46dade05b7faa8956a7d4187b747bbc9be5c38a2b4ca8f7c108cc
-  md5: 265caa78b979f112fc241cecd0015c91
-  depends:
-  - gcc_impl_linux-64 12.3.0 h58ffeeb_7
-  - libstdcxx-devel_linux-64 12.3.0 h0223996_107
-  - sysroot_linux-64
-  license: GPL-3.0-only WITH GCC-exception-3.1
-  license_family: GPL
-  purls: []
-  size: 13036959
-  timestamp: 1715016975232
-- kind: conda
-  name: gxx_linux-64
-  version: 12.3.0
-  build: h4a1b8e8_3
-  build_number: 3
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/gxx_linux-64-12.3.0-h4a1b8e8_3.conda
-  sha256: 5a842fc69c03ac513a2c021f3f21afd9d9ca50b10b95c0dcd236aa77d6d42373
-  md5: 9ec22c7c544f4a4f6d660f0a3b0fd15c
-  depends:
-  - binutils_linux-64 2.40 hdade7a5_3
-  - gcc_linux-64 12.3.0 h6477408_3
-  - gxx_impl_linux-64 12.3.0.*
+  - binutils_linux-64 2.40 hb3c18ed_2
+  - gcc_linux-64 13.3.0 hc28eda2_2
+  - gxx_impl_linux-64 13.3.0.*
   - sysroot_linux-64
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 29304
-  timestamp: 1710260169322
+  size: 30309
+  timestamp: 1725664127525
 - kind: conda
   name: h11
   version: 0.14.0
@@ -5390,7 +5230,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/h11?source=conda-forge-mapping
+  - pkg:pypi/h11?source=hash-mapping
   size: 48251
   timestamp: 1664132995560
 - kind: conda
@@ -5409,30 +5249,55 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/h2?source=conda-forge-mapping
+  - pkg:pypi/h2?source=hash-mapping
   size: 46754
   timestamp: 1634280590080
 - kind: conda
   name: harfbuzz
-  version: 8.5.0
-  build: hfac3d4d_0
+  version: 9.0.0
+  build: h2bedf89_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/harfbuzz-9.0.0-h2bedf89_1.conda
+  sha256: 20f42ec76e075902c22c1f8ddc71fb88eff0b93e74f5705c1e72220030965810
+  md5: 254f119aaed2c0be271c1114ae18d09b
+  depends:
+  - cairo >=1.18.0,<2.0a0
+  - freetype >=2.12.1,<3.0a0
+  - graphite2
+  - icu >=75.1,<76.0a0
+  - libglib >=2.80.3,<3.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 1095620
+  timestamp: 1721187287831
+- kind: conda
+  name: harfbuzz
+  version: 9.0.0
+  build: hda332d3_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.5.0-hfac3d4d_0.conda
-  sha256: a141fc55f8bfdab7db03fe9d8e61cb0f8c8b5970ed6540eda2db7186223f4444
-  md5: f5126317dd0ce0ba26945e411ecc6960
+  url: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-9.0.0-hda332d3_1.conda
+  sha256: 973afa37840b4e55e2540018902255cfb0d953aaed6353bb83a4d120f5256767
+  md5: 76b32dcf243444aea9c6b804bcfa40b8
   depends:
+  - __glibc >=2.17,<3.0.a0
   - cairo >=1.18.0,<2.0a0
   - freetype >=2.12.1,<3.0a0
   - graphite2
-  - icu >=73.2,<74.0a0
+  - icu >=75.1,<76.0a0
   - libgcc-ng >=12
-  - libglib >=2.80.2,<3.0a0
+  - libglib >=2.80.3,<3.0a0
   - libstdcxx-ng >=12
   license: MIT
   license_family: MIT
   purls: []
-  size: 1598244
-  timestamp: 1715701061364
+  size: 1603653
+  timestamp: 1721186240105
 - kind: conda
   name: hpack
   version: 4.0.0
@@ -5447,7 +5312,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/hpack?source=conda-forge-mapping
+  - pkg:pypi/hpack?source=hash-mapping
   size: 25341
   timestamp: 1598856368685
 - kind: conda
@@ -5469,18 +5334,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/httpcore?source=conda-forge-mapping
+  - pkg:pypi/httpcore?source=hash-mapping
   size: 45816
   timestamp: 1711597091407
 - kind: conda
   name: httpx
-  version: 0.27.0
+  version: 0.27.2
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.0-pyhd8ed1ab_0.conda
-  sha256: fdaf341fb2630b7afe8238315448fc93947f77ebfa4da68bb349e1bcf820af58
-  md5: 9f359af5a886fd6ca6b2b6ea02e58332
+  url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.27.2-pyhd8ed1ab_0.conda
+  sha256: 1a33f160548bf447e15c0273899d27e4473f1d5b7ca1441232ec2d9d07c56d03
+  md5: 7e9ac3faeebdbd7b53b462c41891e7f7
   depends:
   - anyio
   - certifi
@@ -5491,9 +5356,9 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/httpx?source=conda-forge-mapping
-  size: 64651
-  timestamp: 1708531043505
+  - pkg:pypi/httpx?source=hash-mapping
+  size: 65085
+  timestamp: 1724778453275
 - kind: conda
   name: hyperframe
   version: 6.0.1
@@ -5508,33 +5373,34 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/hyperframe?source=conda-forge-mapping
+  - pkg:pypi/hyperframe?source=hash-mapping
   size: 14646
   timestamp: 1619110249723
 - kind: conda
   name: icu
-  version: '73.2'
-  build: h59595ed_0
+  version: '75.1'
+  build: he02047a_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/icu-73.2-h59595ed_0.conda
-  sha256: e12fd90ef6601da2875ebc432452590bc82a893041473bc1c13ef29001a73ea8
-  md5: cc47e1facc155f91abd89b11e48e72ff
+  url: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda
+  sha256: 71e750d509f5fa3421087ba88ef9a7b9be11c53174af3aa4d06aff4c18b38e8e
+  md5: 8b189310083baabfb622af68fd9d3ae3
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libgcc-ng >=12
   - libstdcxx-ng >=12
   license: MIT
   license_family: MIT
   purls: []
-  size: 12089150
-  timestamp: 1692900650789
+  size: 12129203
+  timestamp: 1720853576813
 - kind: conda
   name: icu
-  version: '73.2'
-  build: h63175ca_0
+  version: '75.1'
+  build: he0c23c2_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/icu-73.2-h63175ca_0.conda
-  sha256: 423aaa2b69d713520712f55c7c71994b7e6f967824bb39b59ad968e7b209ce8c
-  md5: 0f47d9e3192d9e09ae300da0d28e0f56
+  url: https://conda.anaconda.org/conda-forge/win-64/icu-75.1-he0c23c2_0.conda
+  sha256: 1d04369a1860a1e9e371b9fc82dd0092b616adcf057d6c88371856669280e920
+  md5: 8579b6bb8d18be7c0b27fb08adeeeb40
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
@@ -5542,98 +5408,97 @@ packages:
   license: MIT
   license_family: MIT
   purls: []
-  size: 13422193
-  timestamp: 1692901469029
+  size: 14544252
+  timestamp: 1720853966338
 - kind: conda
   name: identify
-  version: 2.5.36
+  version: 2.6.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.36-pyhd8ed1ab_0.conda
-  sha256: dc98ab2233d3ed3692499e2a06b027489ee317658cef9277ec23cab00236f31c
-  md5: ba68cb5105760379432cebc82b45af40
+  url: https://conda.anaconda.org/conda-forge/noarch/identify-2.6.0-pyhd8ed1ab_0.conda
+  sha256: 4a2889027df94d51be283536ac235feba77eaa42a0d051f65cd07ba824b324a6
+  md5: f80cc5989f445f23b1622d6c455896d9
   depends:
   - python >=3.6
   - ukkonen
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/identify?source=conda-forge-mapping
-  size: 78375
-  timestamp: 1713673091737
+  - pkg:pypi/identify?source=hash-mapping
+  size: 78197
+  timestamp: 1720413864262
 - kind: conda
   name: idna
-  version: '3.7'
+  version: '3.8'
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.7-pyhd8ed1ab_0.conda
-  sha256: 9687ee909ed46169395d4f99a0ee94b80a52f87bed69cd454bb6d37ffeb0ec7b
-  md5: c0cc1420498b17414d8617d0b9f506ca
+  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.8-pyhd8ed1ab_0.conda
+  sha256: 8660d38b272d3713ec8ac5ae918bc3bc80e1b81e1a7d61df554bded71ada6110
+  md5: 99e164522f6bdf23c177c8d9ae63f975
   depends:
   - python >=3.6
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/idna?source=conda-forge-mapping
-  size: 52718
-  timestamp: 1713279497047
+  - pkg:pypi/idna?source=hash-mapping
+  size: 49275
+  timestamp: 1724450633325
 - kind: conda
   name: importlib-metadata
-  version: 7.1.0
+  version: 8.4.0
   build: pyha770c72_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-  sha256: cc2e7d1f7f01cede30feafc1118b7aefa244d0a12224513734e24165ae12ba49
-  md5: 0896606848b2dc5cebdf111b6543aa04
+  url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-8.4.0-pyha770c72_0.conda
+  sha256: 02c95f6f62675012e0b2ab945eba6fc14fa6a693c17bced3554db7b62d586f0c
+  md5: 6e3dbc422d3749ad72659243d6ac8b2b
   depends:
   - python >=3.8
   - zipp >=0.5
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/importlib-metadata?source=conda-forge-mapping
-  size: 27043
-  timestamp: 1710971498183
+  - pkg:pypi/importlib-metadata?source=hash-mapping
+  size: 28338
+  timestamp: 1724187329246
 - kind: conda
   name: importlib_metadata
-  version: 7.1.0
+  version: 8.4.0
   build: hd8ed1ab_0
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-7.1.0-hd8ed1ab_0.conda
-  sha256: 01dc057a45dedcc742a71599f67c7383ae2bf873be6018ebcbd06ac8d994dedb
-  md5: 6ef2b72d291b39e479d7694efa2b2b98
+  url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-8.4.0-hd8ed1ab_0.conda
+  sha256: c9c782fdf59fb169220b69ea0bbefc3fdc7f58c9fdbdf2d6ff734aa033647b59
+  md5: 01b7411c765c3d863dcc920207f258bd
   depends:
-  - importlib-metadata >=7.1.0,<7.1.1.0a0
+  - importlib-metadata >=8.4.0,<8.4.1.0a0
   license: Apache-2.0
   license_family: APACHE
-  purls:
-  - pkg:pypi/importlib-metadata?source=conda-forge-mapping
-  size: 9444
-  timestamp: 1710971502542
+  purls: []
+  size: 9292
+  timestamp: 1724187331653
 - kind: conda
   name: importlib_resources
-  version: 6.4.0
+  version: 6.4.4
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.0-pyhd8ed1ab_0.conda
-  sha256: c6ae80c0beaeabb342c5b041f19669992ae6e937dbec56ced766cb035900f9de
-  md5: c5d3907ad8bd7bf557521a1833cf7e6d
+  url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-6.4.4-pyhd8ed1ab_0.conda
+  sha256: 13e277624eaef453af3ff4d925ba1169376baa7008eabd8eaae7c5772bec9fc2
+  md5: 99aa3edd3f452d61c305a30e78140513
   depends:
   - python >=3.8
   - zipp >=3.1.0
   constrains:
-  - importlib-resources >=6.4.0,<6.4.1.0a0
+  - importlib-resources >=6.4.4,<6.4.5.0a0
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/importlib-resources?source=conda-forge-mapping
-  size: 33056
-  timestamp: 1711041009039
+  - pkg:pypi/importlib-resources?source=hash-mapping
+  size: 32258
+  timestamp: 1724314749050
 - kind: conda
   name: iniconfig
   version: 2.0.0
@@ -5648,35 +5513,34 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/iniconfig?source=conda-forge-mapping
+  - pkg:pypi/iniconfig?source=hash-mapping
   size: 11101
   timestamp: 1673103208955
 - kind: conda
   name: intel-openmp
-  version: 2024.1.0
-  build: h57928b3_966
-  build_number: 966
+  version: 2024.2.1
+  build: h57928b3_1083
+  build_number: 1083
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.1.0-h57928b3_966.conda
-  sha256: 77465396f2636c8b3b3a587f1636ee35c17a73e2a2c7e0ea0957b05f84704cf3
-  md5: 35d7ea07ad6c878bd7240d2d6c1b8657
+  url: https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2024.2.1-h57928b3_1083.conda
+  sha256: 0fd2b0b84c854029041b0ede8f4c2369242ee92acc0092f8407b1fe9238a8209
+  md5: 2d89243bfb53652c182a7c73182cce4f
   license: LicenseRef-IntelSimplifiedSoftwareOct2022
   license_family: Proprietary
   purls: []
-  size: 1616293
-  timestamp: 1716560867765
+  size: 1852356
+  timestamp: 1723739573141
 - kind: conda
   name: ipykernel
-  version: 6.29.3
-  build: pyh3cd1d5f_0
+  version: 6.29.5
+  build: pyh3099207_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyh3cd1d5f_0.conda
-  sha256: ef2f9c1d83afd693db3793c368c5c6afcd37a416958ece490a2e1fbcd85012eb
-  md5: 28e74fca8d8abf09c1ed0d190a17e307
+  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh3099207_0.conda
+  sha256: 33cfd339bb4efac56edf93474b37ddc049e08b1b4930cf036c893cc1f5a1f32a
+  md5: b40131ab6a36ac2c09b7c57d4d3fbf99
   depends:
-  - __osx
-  - appnope
+  - __linux
   - comm >=0.1.1
   - debugpy >=1.6.5
   - ipython >=7.23.1
@@ -5693,18 +5557,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/ipykernel?source=conda-forge-mapping
-  size: 119602
-  timestamp: 1708996878886
+  - pkg:pypi/ipykernel?source=hash-mapping
+  size: 119084
+  timestamp: 1719845605084
 - kind: conda
   name: ipykernel
-  version: 6.29.3
-  build: pyha63f2e9_0
+  version: 6.29.5
+  build: pyh4bbf305_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyha63f2e9_0.conda
-  sha256: 93ff46322a2512e9fb4ba456b1f0120d2f628a4b851f3102561a351e528d24d0
-  md5: d86f243bdd45a8019050e7326ed7bb2e
+  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh4bbf305_0.conda
+  sha256: dc569094125127c0078aa536f78733f383dd7e09507277ef8bcd1789786e7086
+  md5: 18df5fc4944a679e085e0e8f31775fc8
   depends:
   - __win
   - comm >=0.1.1
@@ -5723,20 +5587,21 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/ipykernel?source=conda-forge-mapping
-  size: 119670
-  timestamp: 1708996955969
+  - pkg:pypi/ipykernel?source=hash-mapping
+  size: 119853
+  timestamp: 1719845858082
 - kind: conda
   name: ipykernel
-  version: 6.29.3
-  build: pyhd33586a_0
+  version: 6.29.5
+  build: pyh57ce528_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.3-pyhd33586a_0.conda
-  sha256: 0314f15e666fd9a4fb653aae37d2cf4dc6bc3a18c0d9c2671a6a0783146adcfa
-  md5: e0deff12c601ce5cb7476f93718f3168
+  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.29.5-pyh57ce528_0.conda
+  sha256: 072534d4d379225b2c3a4e38bc7730b65ae171ac7f0c2d401141043336e97980
+  md5: 9eb15d654daa0ef5a98802f586bb4ffc
   depends:
-  - __linux
+  - __osx
+  - appnope
   - comm >=0.1.1
   - debugpy >=1.6.5
   - ipython >=7.23.1
@@ -5753,18 +5618,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/ipykernel?source=conda-forge-mapping
-  size: 119050
-  timestamp: 1708996727913
+  - pkg:pypi/ipykernel?source=hash-mapping
+  size: 119568
+  timestamp: 1719845667420
 - kind: conda
   name: ipython
-  version: 8.24.0
+  version: 8.27.0
   build: pyh707e725_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh707e725_0.conda
-  sha256: d3ce492dac53a8f1c6cd682a25313f02993a1333b5e4787a15259a6e7cb28562
-  md5: 1fb1f1fcbe053a762748dbf0ae4cfd0d
+  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh707e725_0.conda
+  sha256: 4eaa22b1afdbd0076ab1cc8da99d9c62f5c5f14cd0a30ff99c133e22f2db5a58
+  md5: 0ed09f0c0f62f50b4b7dd2744af13629
   depends:
   - __unix
   - decorator
@@ -5782,18 +5647,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/ipython?source=conda-forge-mapping
-  size: 596366
-  timestamp: 1715263505659
+  - pkg:pypi/ipython?source=hash-mapping
+  size: 598878
+  timestamp: 1725050237172
 - kind: conda
   name: ipython
-  version: 8.24.0
+  version: 8.27.0
   build: pyh7428d3b_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.24.0-pyh7428d3b_0.conda
-  sha256: 437b21b8d4dc3cc119deda857e2f180c470d956a30af41790f622d750021b51f
-  md5: 5c51b5f02a949233a2130284ff7fc416
+  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.27.0-pyh7428d3b_0.conda
+  sha256: 2826fae9530bf5ea53b3b825483d9bd1c01b5635aebc37e0f56003bab434ade6
+  md5: d7f3d6377b3988475bd1fa6493b7b115
   depends:
   - __win
   - colorama
@@ -5811,9 +5676,9 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/ipython?source=conda-forge-mapping
-  size: 597669
-  timestamp: 1715263693378
+  - pkg:pypi/ipython?source=hash-mapping
+  size: 600176
+  timestamp: 1725050732048
 - kind: conda
   name: isoduration
   version: 20.11.0
@@ -5829,202 +5694,175 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/isoduration?source=conda-forge-mapping
+  - pkg:pypi/isoduration?source=hash-mapping
   size: 17189
   timestamp: 1638811664194
 - kind: pypi
   name: jax
-  version: 0.4.28
-  url: https://files.pythonhosted.org/packages/20/11/6667e8a2146d62b7e585c389cc39cede4993f7380101cae052e8dce546c2/jax-0.4.28-py3-none-any.whl
-  sha256: 6a181e6b5a5b1140e19cdd2d5c4aa779e4cb4ec627757b918be322d8e81035ba
+  version: 0.4.31
+  url: https://files.pythonhosted.org/packages/7e/cf/5f51b43bd692e90585c0ef6e8d1b0db5d254fe0224a6570daa59a1be014f/jax-0.4.31-py3-none-any.whl
+  sha256: 5688703735133d0dc537e99a1d646198a49c9d472d4715fde4bd437c44151bd7
   requires_dist:
+  - jaxlib<=0.4.31,>=0.4.30
   - ml-dtypes>=0.2.0
-  - numpy>=1.22
+  - numpy>=1.24
   - opt-einsum
-  - scipy>=1.9
-  - importlib-metadata>=4.6 ; python_version < '3.10'
-  - numpy>=1.23.2 ; python_version >= '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
-  - scipy>=1.11.1 ; python_version >= '3.12'
-  - protobuf<4,>=3.13 ; extra == 'australis'
-  - jaxlib==0.4.27 ; extra == 'ci'
-  - jaxlib==0.4.28 ; extra == 'cpu'
-  - jaxlib==0.4.28+cuda12.cudnn89 ; extra == 'cuda'
-  - jaxlib==0.4.28 ; extra == 'cuda12'
-  - jax-cuda12-plugin==0.4.28 ; extra == 'cuda12'
-  - nvidia-cublas-cu12>=12.1.3.1 ; extra == 'cuda12'
-  - nvidia-cuda-cupti-cu12>=12.1.105 ; extra == 'cuda12'
-  - nvidia-cuda-nvcc-cu12>=12.1.105 ; extra == 'cuda12'
-  - nvidia-cuda-runtime-cu12>=12.1.105 ; extra == 'cuda12'
-  - nvidia-cudnn-cu12<9.0,>=8.9.2.26 ; extra == 'cuda12'
-  - nvidia-cufft-cu12>=11.0.2.54 ; extra == 'cuda12'
-  - nvidia-cusolver-cu12>=11.4.5.107 ; extra == 'cuda12'
-  - nvidia-cusparse-cu12>=12.1.0.106 ; extra == 'cuda12'
-  - nvidia-nccl-cu12>=2.18.1 ; extra == 'cuda12'
-  - nvidia-nvjitlink-cu12>=12.1.105 ; extra == 'cuda12'
-  - jaxlib==0.4.28+cuda12.cudnn89 ; extra == 'cuda12_cudnn89'
-  - jaxlib==0.4.28+cuda12.cudnn89 ; extra == 'cuda12_local'
-  - jaxlib==0.4.28+cuda12.cudnn89 ; extra == 'cuda12_pip'
-  - nvidia-cublas-cu12>=12.1.3.1 ; extra == 'cuda12_pip'
-  - nvidia-cuda-cupti-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cuda-nvcc-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cuda-runtime-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cudnn-cu12<9.0,>=8.9.2.26 ; extra == 'cuda12_pip'
-  - nvidia-cufft-cu12>=11.0.2.54 ; extra == 'cuda12_pip'
-  - nvidia-cusolver-cu12>=11.4.5.107 ; extra == 'cuda12_pip'
-  - nvidia-cusparse-cu12>=12.1.0.106 ; extra == 'cuda12_pip'
-  - nvidia-nccl-cu12>=2.18.1 ; extra == 'cuda12_pip'
-  - nvidia-nvjitlink-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - jaxlib==0.4.27 ; extra == 'minimum-jaxlib'
-  - jaxlib==0.4.28 ; extra == 'tpu'
-  - libtpu-nightly==0.1.dev20240508 ; extra == 'tpu'
+  - scipy>=1.10
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
+  - scipy>=1.11.1 ; python_full_version >= '3.12'
+  - jaxlib==0.4.30 ; extra == 'ci'
+  - jaxlib==0.4.31 ; extra == 'cuda'
+  - jax-cuda12-plugin[with-cuda]<=0.4.31,>=0.4.31 ; extra == 'cuda'
+  - jaxlib==0.4.31 ; extra == 'cuda12'
+  - jax-cuda12-plugin[with-cuda]<=0.4.31,>=0.4.31 ; extra == 'cuda12'
+  - jaxlib==0.4.31 ; extra == 'cuda12-local'
+  - jax-cuda12-plugin==0.4.31 ; extra == 'cuda12-local'
+  - jaxlib==0.4.31 ; extra == 'cuda12-pip'
+  - jax-cuda12-plugin[with-cuda]<=0.4.31,>=0.4.31 ; extra == 'cuda12-pip'
+  - jaxlib==0.4.30 ; extra == 'minimum-jaxlib'
+  - jaxlib<=0.4.31,>=0.4.31 ; extra == 'tpu'
+  - libtpu-nightly==0.1.dev20240729 ; extra == 'tpu'
   - requests ; extra == 'tpu'
-  requires_python: '>=3.9'
+  requires_python: '>=3.10'
 - kind: conda
   name: jax
-  version: 0.4.27
-  build: pyhd8ed1ab_0
+  version: 0.4.31
+  build: pyhd8ed1ab_1
+  build_number: 1
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.27-pyhd8ed1ab_0.conda
-  sha256: 7a85619d6b6890fe15b60818d3f3533d044b84a62ad019b919738f834d56e6c4
-  md5: 9dbe68d48348ffbe603c0fbe44428d7c
+  url: https://conda.anaconda.org/conda-forge/noarch/jax-0.4.31-pyhd8ed1ab_1.conda
+  sha256: cd642f411cf5286877df1cbaf7aa44e6b0d970c235bdfb2886f8efe92031fcd2
+  md5: a42f5cae582f26492ec2b25c633d308a
   depends:
-  - importlib_metadata >=4.6
-  - jaxlib >=0.4.23
+  - importlib-metadata >=4.6
+  - jaxlib >=0.4.30,<=0.4.31
   - ml_dtypes >=0.2.0
-  - numpy >=1.22
+  - numpy >=1.24
   - opt-einsum
   - python >=3.9
-  - scipy >=1.9
+  - scipy >=1.10
+  constrains:
+  - cudnn >=9.2.1.18
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/jax?source=conda-forge-mapping
-  size: 1275628
-  timestamp: 1715569349254
+  - pkg:pypi/jax?source=hash-mapping
+  size: 1345141
+  timestamp: 1725068486559
 - kind: pypi
   name: jaxlib
-  version: 0.4.28
-  url: https://files.pythonhosted.org/packages/d4/60/6155cc8dfeeb695d47423ae075938c8786a4e110b9f83b047e6365334eae/jaxlib-0.4.28-cp312-cp312-win_amd64.whl
-  sha256: eee428eac31697a070d655f1f24f6ab39ced76750d93b1de862377a52dcc2401
+  version: 0.4.31
+  url: https://files.pythonhosted.org/packages/c8/13/1bb2bcb4d9f4719dd5f3d98f5c2fc2235f961ced576366b040372eebdb17/jaxlib-0.4.31-cp312-cp312-win_amd64.whl
+  sha256: c4bfd15315e30525514b7262d555bea00745b09ac9818bb14c20ef8afbbab072
   requires_dist:
-  - scipy>=1.9
-  - numpy>=1.22
+  - scipy>=1.10
+  - numpy>=1.24
   - ml-dtypes>=0.2.0
-  - scipy>=1.11.1 ; python_version >= '3.12'
-  - nvidia-cublas-cu12>=12.1.3.1 ; extra == 'cuda12_pip'
-  - nvidia-cuda-cupti-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cuda-nvcc-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cuda-runtime-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  - nvidia-cudnn-cu12<9.0,>=8.9.2.26 ; extra == 'cuda12_pip'
-  - nvidia-cufft-cu12>=11.0.2.54 ; extra == 'cuda12_pip'
-  - nvidia-cusolver-cu12>=11.4.5.107 ; extra == 'cuda12_pip'
-  - nvidia-cusparse-cu12>=12.1.0.106 ; extra == 'cuda12_pip'
-  - nvidia-nccl-cu12>=2.18.1 ; extra == 'cuda12_pip'
-  - nvidia-nvjitlink-cu12>=12.1.105 ; extra == 'cuda12_pip'
-  requires_python: '>=3.9'
+  - scipy>=1.11.1 ; python_full_version >= '3.12'
+  requires_python: '>=3.10'
 - kind: conda
   name: jaxlib
-  version: 0.4.23
-  build: cpu_py312h432c0f0_2
-  build_number: 2
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.23-cpu_py312h432c0f0_2.conda
-  sha256: 56ed7a18820feb6d7d211d12601000c48feff2576e804549120acc45d102682b
-  md5: 8f2bfd7b590e8d6e8576e514eceaac26
+  version: 0.4.31
+  build: cpu_py312h47007b3_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.31-cpu_py312h47007b3_1.conda
+  sha256: 47d0db0455192cc360ce0275f6bcd3be3de589560c8b1fd85a58a850289cbf69
+  md5: 2e8faa2c74c4625bcfb8369774a24c70
   depends:
-  - __osx >=10.13
-  - __osx >=10.14
+  - __osx >=11.0
   - libabseil * cxx17*
   - libabseil >=20240116.2,<20240117.0a0
-  - libcxx >=16
+  - libcxx >=17
   - libgrpc >=1.62.2,<1.63.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ml_dtypes >=0.2.0
-  - numpy >=1.26.4,<2.0a0
-  - openssl >=3.3.0,<4.0a0
+  - numpy >=1.19,<3
+  - openssl >=3.3.1,<4.0a0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - scipy >=1.9
   constrains:
-  - jax >=0.4.23
+  - jax >=0.4.31
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/jaxlib?source=conda-forge-mapping
-  size: 54982582
-  timestamp: 1716376009323
+  - pkg:pypi/jaxlib?source=hash-mapping
+  size: 47993894
+  timestamp: 1725060448444
 - kind: conda
   name: jaxlib
-  version: 0.4.23
-  build: cpu_py312h43c41d3_2
-  build_number: 2
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/jaxlib-0.4.23-cpu_py312h43c41d3_2.conda
-  sha256: 62c3c73ddad4b4bf7b7175b56f4b2d9914c82880a85c954db849bbd127256842
-  md5: 650fcc13d6da3a7e326b038e8e7c5497
+  version: 0.4.31
+  build: cpu_py312h6b2a80f_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cpu_py312h6b2a80f_1.conda
+  sha256: ee55de88a2e2fdcf80474bb5b9ca6d50b52a2c262f912d8e4094d59defc44131
+  md5: 253fe0d4a1c63b70f92b3179bdb14c6d
   depends:
-  - __osx >=11.0
+  - __glibc >=2.17,<3.0.a0
   - libabseil * cxx17*
   - libabseil >=20240116.2,<20240117.0a0
-  - libcxx >=16
+  - libgcc >=13
   - libgrpc >=1.62.2,<1.63.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libstdcxx >=13
+  - libzlib >=1.3.1,<2.0a0
   - ml_dtypes >=0.2.0
-  - numpy >=1.26.4,<2.0a0
-  - openssl >=3.3.0,<4.0a0
+  - numpy >=1.19,<3
+  - openssl >=3.3.1,<4.0a0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - scipy >=1.9
   constrains:
-  - jax >=0.4.23
+  - jax >=0.4.31
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/jaxlib?source=conda-forge-mapping
-  size: 45474605
-  timestamp: 1716375731137
+  - pkg:pypi/jaxlib?source=hash-mapping
+  size: 58871481
+  timestamp: 1725057743526
 - kind: conda
   name: jaxlib
-  version: 0.4.23
-  build: cpu_py312h8d2594f_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cpu_py312h8d2594f_2.conda
-  sha256: 951dec4817982f375e8dc0580b86bd785b61a286670652a419fea917bfc87c62
-  md5: 445cb14317c2b7fe31d70f1928b23408
+  version: 0.4.31
+  build: cpu_py312h70ed142_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/jaxlib-0.4.31-cpu_py312h70ed142_1.conda
+  sha256: f1549e3836aa2266084fab1aacd8df622aeac1eef9c3e6c9ae2648cd23183cf6
+  md5: 311f1c93337bac90fc0f39b0cb1d1651
   depends:
+  - __osx >=10.13
+  - __osx >=10.14
   - libabseil * cxx17*
   - libabseil >=20240116.2,<20240117.0a0
-  - libgcc-ng >=12
+  - libcxx >=17
   - libgrpc >=1.62.2,<1.63.0a0
-  - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ml_dtypes >=0.2.0
-  - numpy >=1.26.4,<2.0a0
-  - openssl >=3.3.0,<4.0a0
+  - numpy >=1.19,<3
+  - openssl >=3.3.1,<4.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - scipy >=1.9
   constrains:
-  - jax >=0.4.23
+  - jax >=0.4.31
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/jaxlib?source=conda-forge-mapping
-  size: 54817916
-  timestamp: 1716374085331
+  - pkg:pypi/jaxlib?source=hash-mapping
+  size: 58194819
+  timestamp: 1725060949146
 - kind: conda
   name: jaxlib
-  version: 0.4.23
-  build: cuda120py312h6027bbc_202
-  build_number: 202
+  version: 0.4.31
+  build: cuda120py312h3995614_201
+  build_number: 201
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.23-cuda120py312h6027bbc_202.conda
-  sha256: 6d4eba5ec857d2c996c24846d14ec26f9380efd97b54382db557449291cdc734
-  md5: af3cbd00594b28589166ae165e55da35
+  url: https://conda.anaconda.org/conda-forge/linux-64/jaxlib-0.4.31-cuda120py312h3995614_201.conda
+  sha256: 6469eab531e697b5d420e5a8b782ba45920d79a5e01a77ec0c3c5134690939f7
+  md5: 0db2cd991d38945cb2a60b9d00bf1e12
   depends:
   - __cuda
   - __glibc >=2.17,<3.0.a0
@@ -6033,7 +5871,7 @@ packages:
   - cuda-nvcc
   - cuda-nvtx >=12.0.76,<13.0a0
   - cuda-version >=12.0,<13
-  - cudnn >=8.9.7.29,<9.0a0
+  - cudnn >=9.2.1.18,<10.0a0
   - libabseil * cxx17*
   - libabseil >=20240116.2,<20240117.0a0
   - libcublas >=12.0.1.189,<13.0a0
@@ -6041,25 +5879,25 @@ packages:
   - libcurand >=10.3.1.50,<11.0a0
   - libcusolver >=11.4.2.57,<12.0a0
   - libcusparse >=12.0.0.76,<13.0a0
-  - libgcc-ng >=12
+  - libgcc >=12
   - libgrpc >=1.62.2,<1.63.0a0
-  - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - libstdcxx >=12
+  - libzlib >=1.3.1,<2.0a0
   - ml_dtypes >=0.2.0
-  - nccl >=2.21.5.1,<3.0a0
-  - numpy >=1.26.4,<2.0a0
-  - openssl >=3.3.0,<4.0a0
+  - nccl >=2.22.3.1,<3.0a0
+  - numpy >=1.19,<3
+  - openssl >=3.3.1,<4.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - scipy >=1.9
   constrains:
-  - jax >=0.4.23
+  - jax >=0.4.31
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/jaxlib?source=conda-forge-mapping
-  size: 87484322
-  timestamp: 1716398144536
+  - pkg:pypi/jaxlib?source=hash-mapping
+  size: 93521778
+  timestamp: 1725064373665
 - kind: conda
   name: jedi
   version: 0.19.1
@@ -6075,7 +5913,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/jedi?source=conda-forge-mapping
+  - pkg:pypi/jedi?source=hash-mapping
   size: 841312
   timestamp: 1696326218364
 - kind: conda
@@ -6093,7 +5931,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jinja2?source=conda-forge-mapping
+  - pkg:pypi/jinja2?source=hash-mapping
   size: 111565
   timestamp: 1715127275924
 - kind: conda
@@ -6110,91 +5948,91 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/json5?source=conda-forge-mapping
+  - pkg:pypi/json5?source=hash-mapping
   size: 27995
   timestamp: 1712986338874
 - kind: conda
   name: jsonpointer
-  version: '2.4'
-  build: py312h2e8e312_3
-  build_number: 3
+  version: 3.0.0
+  build: py312h2e8e312_1
+  build_number: 1
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-2.4-py312h2e8e312_3.conda
-  sha256: 98d86d5ccb3a95da2cd96b394c157aa6fef0d4908b8878c3e2b5931f6bc5fd57
-  md5: 9d9572e257bf4559f20629efb0d3511d
+  url: https://conda.anaconda.org/conda-forge/win-64/jsonpointer-3.0.0-py312h2e8e312_1.conda
+  sha256: 6865b97780e795337f65592582aee6f25e5b96214c64ffd3f8cdf580fd64ba22
+  md5: e3ceda014d8461a11ca8552830a978f9
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jsonpointer?source=conda-forge-mapping
-  size: 34602
-  timestamp: 1695397923441
+  - pkg:pypi/jsonpointer?source=hash-mapping
+  size: 42235
+  timestamp: 1725303419414
 - kind: conda
   name: jsonpointer
-  version: '2.4'
-  build: py312h7900ff3_3
-  build_number: 3
+  version: 3.0.0
+  build: py312h7900ff3_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-2.4-py312h7900ff3_3.conda
-  sha256: c211a79cff8aa001a6e14e923c37278231dca7f0970d8db155c4b9e48ac87a5a
-  md5: 50f62bdb9b60b13c2f6ae69957342e4d
+  url: https://conda.anaconda.org/conda-forge/linux-64/jsonpointer-3.0.0-py312h7900ff3_1.conda
+  sha256: 76ccb7bffc7761d1d3133ffbe1f7f1710a0f0d9aaa9f7ea522652e799f3601f4
+  md5: 6b51f7459ea4073eeb5057207e2e1e3d
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jsonpointer?source=conda-forge-mapping
-  size: 18033
-  timestamp: 1695397448370
+  - pkg:pypi/jsonpointer?source=hash-mapping
+  size: 17277
+  timestamp: 1725303032027
 - kind: conda
   name: jsonpointer
-  version: '2.4'
-  build: py312h81bd7bf_3
-  build_number: 3
+  version: 3.0.0
+  build: py312h81bd7bf_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-2.4-py312h81bd7bf_3.conda
-  sha256: 6cb2d17da9083e05f5ead7902a5cd6ec9567cd3da972c65c03f090515c9fa176
-  md5: 327361b24f5348cab04ad9b1f74e831d
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/jsonpointer-3.0.0-py312h81bd7bf_1.conda
+  sha256: f6fb3734e967d1cd0cde32844ee952809f6c0a49895da7ec1c8cfdf97739b947
+  md5: 80f403c03290e1662be03e026fb5f8ab
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jsonpointer?source=conda-forge-mapping
-  size: 18542
-  timestamp: 1695397720755
+  - pkg:pypi/jsonpointer?source=hash-mapping
+  size: 17865
+  timestamp: 1725303130815
 - kind: conda
   name: jsonpointer
-  version: '2.4'
-  build: py312hb401068_3
-  build_number: 3
+  version: 3.0.0
+  build: py312hb401068_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-2.4-py312hb401068_3.conda
-  sha256: 883f6d635e58f49359f393e853e4e0043731fb0ce671283a2024db02a1ebc8f6
-  md5: 637aa8f6c1c61f659f1496e9b2dc7552
+  url: https://conda.anaconda.org/conda-forge/osx-64/jsonpointer-3.0.0-py312hb401068_1.conda
+  sha256: 52fcb1db44a935bba26988cc17247a0f71a8ad2fbc2b717274a8c8940856ee0d
+  md5: 5dcf96bca4649d496d818a0f5cfb962e
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jsonpointer?source=conda-forge-mapping
-  size: 18184
-  timestamp: 1695397820416
+  - pkg:pypi/jsonpointer?source=hash-mapping
+  size: 17560
+  timestamp: 1725303027769
 - kind: conda
   name: jsonschema
-  version: 4.22.0
+  version: 4.23.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda
-  sha256: 57a466e8c42635d8e930fa065dc6e461f4215aa259ab03873eacb03ddaeefc8a
-  md5: b9661a4b1200d6bc7d8a4cdafdc91468
+  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.23.0-pyhd8ed1ab_0.conda
+  sha256: 7d0c4c0346b26be9f220682b7c5c0d84606d48c6dbc36fc238e4452dda733aff
+  md5: da304c192ad59975202859b367d0f6a2
   depends:
   - attrs >=22.2.0
   - importlib_resources >=1.4.0
@@ -6206,9 +6044,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/jsonschema?source=conda-forge-mapping
-  size: 74149
-  timestamp: 1714573245148
+  - pkg:pypi/jsonschema?source=hash-mapping
+  size: 74323
+  timestamp: 1720529611305
 - kind: conda
   name: jsonschema-specifications
   version: 2023.12.1
@@ -6225,34 +6063,33 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/jsonschema-specifications?source=conda-forge-mapping
+  - pkg:pypi/jsonschema-specifications?source=hash-mapping
   size: 16431
   timestamp: 1703778502971
 - kind: conda
   name: jsonschema-with-format-nongpl
-  version: 4.22.0
-  build: pyhd8ed1ab_0
+  version: 4.23.0
+  build: hd8ed1ab_0
   subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.22.0-pyhd8ed1ab_0.conda
-  sha256: 3c98d791bebd477597fe083b3cec35132ac974c61ba1e481dc6c29fac78b419d
-  md5: 32ab666927ee17b9468c2c72bbd7ba1b
+  noarch: generic
+  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.23.0-hd8ed1ab_0.conda
+  sha256: 007a0a506a0d1805b099629cb0ee743ad0afe7d9749e57339f32c168119e0139
+  md5: 16b37612b3a2fd77f409329e213b530c
   depends:
   - fqdn
   - idna
   - isoduration
   - jsonpointer >1.13
-  - jsonschema >=4.22.0,<4.22.1.0a0
-  - python
+  - jsonschema >=4.23.0,<4.23.1.0a0
   - rfc3339-validator
   - rfc3986-validator >0.1.0
   - uri-template
-  - webcolors >=1.11
+  - webcolors >=24.6.0
   license: MIT
   license_family: MIT
   purls: []
-  size: 7441
-  timestamp: 1714573279350
+  size: 7143
+  timestamp: 1720529619500
 - kind: conda
   name: jupyter-lsp
   version: 2.2.5
@@ -6269,7 +6106,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-lsp?source=conda-forge-mapping
+  - pkg:pypi/jupyter-lsp?source=hash-mapping
   size: 55539
   timestamp: 1712707521811
 - kind: conda
@@ -6292,7 +6129,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-client?source=conda-forge-mapping
+  - pkg:pypi/jupyter-client?source=hash-mapping
   size: 106248
   timestamp: 1716472312833
 - kind: conda
@@ -6312,7 +6149,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-core?source=conda-forge-mapping
+  - pkg:pypi/jupyter-core?source=hash-mapping
   size: 109880
   timestamp: 1710257719549
 - kind: conda
@@ -6331,7 +6168,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-core?source=conda-forge-mapping
+  - pkg:pypi/jupyter-core?source=hash-mapping
   size: 92843
   timestamp: 1710257533875
 - kind: conda
@@ -6351,7 +6188,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-core?source=conda-forge-mapping
+  - pkg:pypi/jupyter-core?source=hash-mapping
   size: 93829
   timestamp: 1710257916303
 - kind: conda
@@ -6370,7 +6207,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-core?source=conda-forge-mapping
+  - pkg:pypi/jupyter-core?source=hash-mapping
   size: 92679
   timestamp: 1710257658978
 - kind: conda
@@ -6394,44 +6231,44 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-events?source=conda-forge-mapping
+  - pkg:pypi/jupyter-events?source=hash-mapping
   size: 21475
   timestamp: 1710805759187
 - kind: conda
   name: jupyter_server
-  version: 2.14.1
+  version: 2.14.2
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.1-pyhd8ed1ab_0.conda
-  sha256: 58628ef004ba0f754cc01b33199b6aefd94f5aed7fbf7afd2b796d8b5c4ef22c
-  md5: 174af03c6e6038edd32021a48aa003c4
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.14.2-pyhd8ed1ab_0.conda
+  sha256: edab71a05feceac54bdb90e755a257545af7832b9911607c1a70f09be44ba985
+  md5: ca23c71f70a7c7935b3d03f0f1a5801d
   depends:
   - anyio >=3.1.0
-  - argon2-cffi
-  - jinja2
+  - argon2-cffi >=21.1
+  - jinja2 >=3.0.3
   - jupyter_client >=7.4.4
   - jupyter_core >=4.12,!=5.0.*
   - jupyter_events >=0.9.0
-  - jupyter_server_terminals
+  - jupyter_server_terminals >=0.4.4
   - nbconvert-core >=6.4.4
   - nbformat >=5.3.0
-  - overrides
-  - packaging
-  - prometheus_client
+  - overrides >=5.0
+  - packaging >=22.0
+  - prometheus_client >=0.9
   - python >=3.8
   - pyzmq >=24
   - send2trash >=1.8.2
   - terminado >=0.8.3
   - tornado >=6.2.0
   - traitlets >=5.6.0
-  - websocket-client
+  - websocket-client >=1.7
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-server?source=conda-forge-mapping
-  size: 324369
-  timestamp: 1717122163377
+  - pkg:pypi/jupyter-server?source=hash-mapping
+  size: 323978
+  timestamp: 1720816754998
 - kind: conda
   name: jupyter_server_terminals
   version: 0.5.3
@@ -6447,18 +6284,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyter-server-terminals?source=conda-forge-mapping
+  - pkg:pypi/jupyter-server-terminals?source=hash-mapping
   size: 19818
   timestamp: 1710262791393
 - kind: conda
   name: jupyterlab
-  version: 4.2.1
+  version: 4.2.5
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda
-  sha256: 507f87a6449a7d5d23ad24fcba41aed150770df18ae877a4fdf9da78039f1682
-  md5: 3e7290af6190b29c7017d6a8fb0eaeea
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.5-pyhd8ed1ab_0.conda
+  sha256: db08036a6fd846c178ebdce7327be1130bda10ac96113c17b04bce2bc4d67dda
+  md5: 594762eddc55b82feac6097165a88e3c
   depends:
   - async-lru >=1.0.0
   - httpx >=0.25.0
@@ -6473,15 +6310,16 @@ packages:
   - notebook-shim >=0.2
   - packaging
   - python >=3.8
+  - setuptools >=40.1.0
   - tomli >=1.2.2
   - tornado >=6.2.0
   - traitlets
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyterlab?source=conda-forge-mapping
-  size: 7734905
-  timestamp: 1716470384098
+  - pkg:pypi/jupyterlab?source=hash-mapping
+  size: 7361961
+  timestamp: 1724745262468
 - kind: conda
   name: jupyterlab_pygments
   version: 0.3.0
@@ -6500,18 +6338,18 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyterlab-pygments?source=conda-forge-mapping
+  - pkg:pypi/jupyterlab-pygments?source=hash-mapping
   size: 18776
   timestamp: 1707149279640
 - kind: conda
   name: jupyterlab_server
-  version: 2.27.2
+  version: 2.27.3
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda
-  sha256: d4b9f9f46b3c494d678b4f003d7a2f7ac834dba641bd02332079dde5a9a85c98
-  md5: d1cb7b113daaadd89e5aa6a32b28bf0d
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.3-pyhd8ed1ab_0.conda
+  sha256: a23b26d1a35bccdb91b9232119e5f402624e1e1a252b0e64cc20c6eb5b87cefb
+  md5: af8239bf1ba7e8c69b689f780f653488
   depends:
   - babel >=2.10
   - importlib-metadata >=4.8.3
@@ -6527,28 +6365,28 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/jupyterlab-server?source=conda-forge-mapping
-  size: 49349
-  timestamp: 1716434054129
+  - pkg:pypi/jupyterlab-server?source=hash-mapping
+  size: 49355
+  timestamp: 1721163412436
 - kind: conda
   name: kernel-headers_linux-64
-  version: 4.18.0
-  build: he073ed8_2
-  build_number: 2
+  version: 3.10.0
+  build: h4a8ded7_16
+  build_number: 16
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-4.18.0-he073ed8_2.conda
-  sha256: a66f71d354bcc0890f683cc0183b2c66c846c3af630c4cdd88eb54d1d17afb3f
-  md5: 53dce80e1e9c697ef06e17cad8f18786
+  url: https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-3.10.0-h4a8ded7_16.conda
+  sha256: a55044e0f61058a5f6bab5e1dd7f15a1fa7a08ec41501dbfca5ab0fc50b9c0c1
+  md5: ff7f38675b226cfb855aebfc32a13e31
   depends:
   - _sysroot_linux-64_curr_repodata_hack 3.*
   constrains:
-  - sysroot_linux-64 ==2.28
+  - sysroot_linux-64 ==2.17
   license: LGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0
   license_family: GPL
   purls: []
-  size: 1258066
-  timestamp: 1711086600855
+  size: 944344
+  timestamp: 1720621422017
 - kind: conda
   name: keyutils
   version: 1.6.1
@@ -6565,179 +6403,164 @@ packages:
   timestamp: 1646151697040
 - kind: conda
   name: kiwisolver
-  version: 1.4.5
-  build: py312h0d7def4_1
-  build_number: 1
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.5-py312h0d7def4_1.conda
-  sha256: 07021ffc3bbf42922694c23634e028950547d088717b448b46296b3ca5a26068
-  md5: 77c9d46fc8680bb08f4e1ebb6669e44e
+  version: 1.4.7
+  build: py312h6142ec9_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.7-py312h6142ec9_0.conda
+  sha256: 056a2cc3b6c07c79719cb8f2eda09408fca137b49fe46f919ef14247caa6f0e9
+  md5: ea8a65d24baad7ed822ab7f07f19e105
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - __osx >=11.0
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/kiwisolver?source=conda-forge-mapping
-  size: 55576
-  timestamp: 1695380565733
+  - pkg:pypi/kiwisolver?source=hash-mapping
+  size: 60966
+  timestamp: 1725459569843
 - kind: conda
   name: kiwisolver
-  version: 1.4.5
-  build: py312h389731b_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.5-py312h389731b_1.conda
-  sha256: ee1a2189dc405f59c27ee1f061076d8761684c0fcd38cccc215630d8debf9f85
-  md5: 77eeca70c1c4f4187d6b199015c99ee5
+  version: 1.4.7
+  build: py312h68727a3_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.7-py312h68727a3_0.conda
+  sha256: d752c53071ee5d712baa9742dd1629e60388c5ce4ab11d4e73a1690443e41769
+  md5: 444266743652a4f1538145e9362f6d3b
   depends:
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/kiwisolver?source=conda-forge-mapping
-  size: 61747
-  timestamp: 1695380538266
+  - pkg:pypi/kiwisolver?source=hash-mapping
+  size: 70922
+  timestamp: 1725459412788
 - kind: conda
   name: kiwisolver
-  version: 1.4.5
-  build: py312h49ebfd2_1
-  build_number: 1
+  version: 1.4.7
+  build: py312hc5c4d5f_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.5-py312h49ebfd2_1.conda
-  sha256: 11d9daa79051a7ae52881d11f48816366fd3d46018281431abe507da7b45f69c
-  md5: 21f174a5cfb5964069c374171a979157
+  url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.7-py312hc5c4d5f_0.conda
+  sha256: 87470d7eed470c01efa19dd0d5a2eca9149afa1176d1efc50c475b3b81df62c1
+  md5: 7b72389a8a3ba350285f86933ab85da0
   depends:
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
+  - __osx >=10.13
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/kiwisolver?source=conda-forge-mapping
-  size: 60227
-  timestamp: 1695380392812
+  - pkg:pypi/kiwisolver?source=hash-mapping
+  size: 62176
+  timestamp: 1725459509941
 - kind: conda
   name: kiwisolver
-  version: 1.4.5
-  build: py312h8572e83_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py312h8572e83_1.conda
-  sha256: 2ffd3f6726392591c6794ab130f6701f5ffba0ec8658ef40db5a95ec8d583143
-  md5: c1e71f2bc05d8e8e033aefac2c490d05
+  version: 1.4.7
+  build: py312hd5eb7cc_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.7-py312hd5eb7cc_0.conda
+  sha256: b5b3ed78e4c44483afb68f53427db3d232ddf7930ca180bb00fa86ceca7cf7e4
+  md5: 1eddb74a9fbb1d4d6fde9aef272ad1d0
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/kiwisolver?source=conda-forge-mapping
-  size: 72099
-  timestamp: 1695380122482
+  - pkg:pypi/kiwisolver?source=hash-mapping
+  size: 55405
+  timestamp: 1725459633511
 - kind: conda
   name: krb5
-  version: 1.21.2
-  build: h659d440_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.2-h659d440_0.conda
-  sha256: 259bfaae731989b252b7d2228c1330ef91b641c9d68ff87dae02cbae682cb3e4
-  md5: cd95826dbd331ed1be26bdf401432844
+  version: 1.21.3
+  build: h237132a_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.3-h237132a_0.conda
+  sha256: 4442f957c3c77d69d9da3521268cad5d54c9033f1a73f99cde0a3658937b159b
+  md5: c6dc8a0fdec13a0565936655c33069a1
   depends:
-  - keyutils >=1.6.1,<2.0a0
+  - __osx >=11.0
+  - libcxx >=16
   - libedit >=3.1.20191231,<3.2.0a0
   - libedit >=3.1.20191231,<4.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - openssl >=3.1.2,<4.0a0
+  - openssl >=3.3.1,<4.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 1371181
-  timestamp: 1692097755782
+  size: 1155530
+  timestamp: 1719463474401
 - kind: conda
   name: krb5
-  version: 1.21.2
-  build: h92f50d5_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/krb5-1.21.2-h92f50d5_0.conda
-  sha256: 70bdb9b4589ec7c7d440e485ae22b5a352335ffeb91a771d4c162996c3070875
-  md5: 92f1cff174a538e0722bf2efb16fc0b2
+  version: 1.21.3
+  build: h37d8d59_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.3-h37d8d59_0.conda
+  sha256: 83b52685a4ce542772f0892a0f05764ac69d57187975579a0835ff255ae3ef9c
+  md5: d4765c524b1d91567886bde656fb514b
   depends:
-  - libcxx >=15.0.7
+  - __osx >=10.13
+  - libcxx >=16
   - libedit >=3.1.20191231,<3.2.0a0
   - libedit >=3.1.20191231,<4.0a0
-  - openssl >=3.1.2,<4.0a0
+  - openssl >=3.3.1,<4.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 1195575
-  timestamp: 1692098070699
+  size: 1185323
+  timestamp: 1719463492984
 - kind: conda
   name: krb5
-  version: 1.21.2
-  build: hb884880_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.2-hb884880_0.conda
-  sha256: 081ae2008a21edf57c048f331a17c65d1ccb52d6ca2f87ee031a73eff4dc0fc6
-  md5: 80505a68783f01dc8d7308c075261b2f
+  version: 1.21.3
+  build: h659f571_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda
+  sha256: 99df692f7a8a5c27cd14b5fb1374ee55e756631b9c3d659ed3ee60830249b238
+  md5: 3f43953b7d3fb3aaa1d0d0723d91e368
   depends:
-  - libcxx >=15.0.7
+  - keyutils >=1.6.1,<2.0a0
   - libedit >=3.1.20191231,<3.2.0a0
   - libedit >=3.1.20191231,<4.0a0
-  - openssl >=3.1.2,<4.0a0
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  - openssl >=3.3.1,<4.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 1183568
-  timestamp: 1692098004387
+  size: 1370023
+  timestamp: 1719463201255
 - kind: conda
   name: krb5
-  version: 1.21.2
-  build: heb0366b_0
+  version: 1.21.3
+  build: hdf4eb48_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.2-heb0366b_0.conda
-  sha256: 6002adff9e3dcfc9732b861730cb9e33d45fd76b2035b2cdb4e6daacb8262c0b
-  md5: 6e8b0f22b4eef3b3cb3849bb4c3d47f9
+  url: https://conda.anaconda.org/conda-forge/win-64/krb5-1.21.3-hdf4eb48_0.conda
+  sha256: 18e8b3430d7d232dad132f574268f56b3eb1a19431d6d5de8c53c29e6c18fa81
+  md5: 31aec030344e962fbd7dbbbbd68e60a9
   depends:
-  - openssl >=3.1.2,<4.0a0
+  - openssl >=3.3.1,<4.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 710894
-  timestamp: 1692098129546
-- kind: conda
-  name: lame
-  version: '3.100'
-  build: h166bdaf_1003
-  build_number: 1003
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/lame-3.100-h166bdaf_1003.tar.bz2
-  sha256: aad2a703b9d7b038c0f745b853c6bb5f122988fe1a7a096e0e606d9cbec4eaab
-  md5: a8832b479f93521a9e7b5b743803be51
-  depends:
-  - libgcc-ng >=12
-  license: LGPL-2.0-only
-  license_family: LGPL
-  purls: []
-  size: 508258
-  timestamp: 1664996250081
+  size: 712034
+  timestamp: 1719463874284
 - kind: pypi
   name: lcm
-  version: 0.1.dev180+g2a1b955.d20240714
+  version: 0.1.dev211+gfac3512.d20240910
   path: .
-  sha256: 93f59d1bbc97f6d792362d6985540438da737189a409daee46f17e4e0c668ba7
+  sha256: 6edd1a35b1f9290af306d0c565136780350aadfa640574da2453323dd387eab4
   requires_dist:
   - dags
   - numpy
@@ -6815,19 +6638,19 @@ packages:
 - kind: conda
   name: ld_impl_linux-64
   version: '2.40'
-  build: hf3520f5_1
-  build_number: 1
+  build: hf3520f5_7
+  build_number: 7
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_1.conda
-  sha256: cb54a873c1c84c47f7174093889686b626946b8143905ec0f76a56785b26a304
-  md5: 33b7851c39c25da14f6a233a8ccbeeca
+  url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
+  sha256: 764b6950aceaaad0c67ef925417594dd14cd2e22fff864aeef455ac259263d15
+  md5: b80f2f396ca2c28b8c14c437a4ed1e74
   constrains:
   - binutils_impl_linux-64 2.40
   license: GPL-3.0-only
   license_family: GPL
   purls: []
-  size: 707934
-  timestamp: 1716583433869
+  size: 707602
+  timestamp: 1718625640445
 - kind: conda
   name: lerc
   version: 4.0.0
@@ -6893,50 +6716,55 @@ packages:
 - kind: conda
   name: libabseil
   version: '20240116.2'
-  build: cxx17_h59595ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
-  sha256: 19b789dc38dff64eee2002675991e63f381eedf5efd5c85f2dac512ed97376d7
-  md5: 682bdbe046a68f749769b492f3625c5c
+  build: cxx17_h00cdb27_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_h00cdb27_1.conda
+  sha256: a9517c8683924f4b3b9380cdaa50fdd2009cd8d5f3918c92f64394238189d3cb
+  md5: f16963d88aed907af8b90878b8d8a05c
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - __osx >=11.0
+  - libcxx >=16
   constrains:
-  - libabseil-static =20240116.2=cxx17*
   - abseil-cpp =20240116.2
+  - libabseil-static =20240116.2=cxx17*
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1266634
-  timestamp: 1714403128134
+  size: 1136123
+  timestamp: 1720857649214
 - kind: conda
   name: libabseil
   version: '20240116.2'
-  build: cxx17_hc1bcbd7_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hc1bcbd7_0.conda
-  sha256: 91c7818fd4d4e1d7e7fb6ace5f72e699112a9207f00f1ee82e62b7a87d239837
-  md5: f2ac89dbd4914f487706282ebf787636
+  build: cxx17_he02047a_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_he02047a_1.conda
+  sha256: 945396726cadae174a661ce006e3f74d71dbd719219faf7cc74696b267f7b0b5
+  md5: c48fc56ec03229f294176923c3265c05
   depends:
-  - libcxx >=16
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
   constrains:
-  - __osx >=10.13
-  - libabseil-static =20240116.2=cxx17*
   - abseil-cpp =20240116.2
+  - libabseil-static =20240116.2=cxx17*
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1131191
-  timestamp: 1714403767205
+  size: 1264712
+  timestamp: 1720857377573
 - kind: conda
   name: libabseil
   version: '20240116.2'
-  build: cxx17_hebf3989_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20240116.2-cxx17_hebf3989_0.conda
-  sha256: d96bd35e162637be3767637352195e6cdfd85d98068564f73f3450b0cb265776
-  md5: edc3edb68fd9cbb014ac675dc73006c2
+  build: cxx17_hf036a51_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hf036a51_1.conda
+  sha256: 396d18f39d5207ecae06fddcbc6e5f20865718939bc4e0ea9729e13952833aac
+  md5: d6c78ca84abed3fea5f308ac83b8f54e
   depends:
+  - __osx >=10.13
   - libcxx >=16
   constrains:
   - abseil-cpp =20240116.2
@@ -6944,164 +6772,120 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1143678
-  timestamp: 1714403860076
-- kind: conda
-  name: libasprintf
-  version: 0.22.5
-  build: h661eb56_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-0.22.5-h661eb56_2.conda
-  sha256: 31d58af7eb54e2938123200239277f14893c5fa4b5d0280c8cf55ae10000638b
-  md5: dd197c968bf9760bba0031888d431ede
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  license: LGPL-2.1-or-later
-  purls: []
-  size: 43226
-  timestamp: 1712512265295
-- kind: conda
-  name: libasprintf-devel
-  version: 0.22.5
-  build: h661eb56_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libasprintf-devel-0.22.5-h661eb56_2.conda
-  sha256: 99d26d272a8203d30b3efbe734a99c823499884d7759b4291674438137c4b5ca
-  md5: 02e41ab5834dcdcc8590cf29d9526f50
-  depends:
-  - libasprintf 0.22.5 h661eb56_2
-  - libgcc-ng >=12
-  license: LGPL-2.1-or-later
-  purls: []
-  size: 34225
-  timestamp: 1712512295117
+  size: 1124364
+  timestamp: 1720857589333
 - kind: conda
   name: libblas
   version: 3.9.0
-  build: 22_linux64_openblas
+  build: 22_osx64_openblas
   build_number: 22
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
-  sha256: 082b8ac20d43a7bbcdc28b3b1cd40e4df3a8b5daf0a2d23d68953a44d2d12c1b
-  md5: 1a2a0cd3153464fee6646f3dd6dad9b8
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
+  sha256: d72060239f904b3a81d2329efcf84dc62c2dfd66dbc4efc8dcae1afdf8f02b59
+  md5: b80966a8c8dd0b531f8e65f709d732e8
   depends:
   - libopenblas >=0.3.27,<0.3.28.0a0
   - libopenblas >=0.3.27,<1.0a0
   constrains:
-  - libcblas 3.9.0 22_linux64_openblas
+  - liblapacke 3.9.0 22_osx64_openblas
   - blas * openblas
-  - liblapacke 3.9.0 22_linux64_openblas
-  - liblapack 3.9.0 22_linux64_openblas
+  - libcblas 3.9.0 22_osx64_openblas
+  - liblapack 3.9.0 22_osx64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 14537
-  timestamp: 1712542250081
+  size: 14749
+  timestamp: 1712542279018
 - kind: conda
   name: libblas
   version: 3.9.0
-  build: 22_osx64_openblas
-  build_number: 22
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
-  sha256: d72060239f904b3a81d2329efcf84dc62c2dfd66dbc4efc8dcae1afdf8f02b59
-  md5: b80966a8c8dd0b531f8e65f709d732e8
+  build: 23_linux64_openblas
+  build_number: 23
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-23_linux64_openblas.conda
+  sha256: edb1cee5da3ac4936940052dcab6969673ba3874564f90f5110f8c11eed789c2
+  md5: 96c8450a40aa2b9733073a9460de972c
   depends:
   - libopenblas >=0.3.27,<0.3.28.0a0
   - libopenblas >=0.3.27,<1.0a0
   constrains:
-  - liblapacke 3.9.0 22_osx64_openblas
+  - liblapacke 3.9.0 23_linux64_openblas
+  - libcblas 3.9.0 23_linux64_openblas
+  - liblapack 3.9.0 23_linux64_openblas
   - blas * openblas
-  - libcblas 3.9.0 22_osx64_openblas
-  - liblapack 3.9.0 22_osx64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 14749
-  timestamp: 1712542279018
+  size: 14880
+  timestamp: 1721688759937
 - kind: conda
   name: libblas
   version: 3.9.0
-  build: 22_osxarm64_openblas
-  build_number: 22
+  build: 23_osxarm64_openblas
+  build_number: 23
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-22_osxarm64_openblas.conda
-  sha256: 8620e13366076011cfcc6b2565c7a2d362c5d3f0423f54b9ef9bfc17b1a012a4
-  md5: aeaf35355ef0f37c7c1ba35b7b7db55f
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-23_osxarm64_openblas.conda
+  sha256: 1c30da861e306a25fac8cd30ce0c1b31c9238d04e7768c381cf4d431b4361e6c
+  md5: acae9191e8772f5aff48ab5232d4d2a3
   depends:
   - libopenblas >=0.3.27,<0.3.28.0a0
   - libopenblas >=0.3.27,<1.0a0
   constrains:
+  - liblapack 3.9.0 23_osxarm64_openblas
   - blas * openblas
-  - liblapack 3.9.0 22_osxarm64_openblas
-  - liblapacke 3.9.0 22_osxarm64_openblas
-  - libcblas 3.9.0 22_osxarm64_openblas
+  - liblapacke 3.9.0 23_osxarm64_openblas
+  - libcblas 3.9.0 23_osxarm64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 14824
-  timestamp: 1712542396471
+  size: 15103
+  timestamp: 1721688997980
 - kind: conda
   name: libblas
   version: 3.9.0
-  build: 22_win64_mkl
-  build_number: 22
+  build: 23_win64_mkl
+  build_number: 23
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-22_win64_mkl.conda
-  sha256: 4faab445cbd9a13736a206b98fde962d0a9fa80dcbd38300951a8b2863e7c35c
-  md5: 65c56ecdeceffd6c32d3d54db7e02c6e
+  url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-23_win64_mkl.conda
+  sha256: fd52eb0ec4d0ca5727317dd608c41dacc8ccfc7e21d943b7aafbbf10ae28c97c
+  md5: 693407a31c27e70c750b5ae153251d9a
   depends:
-  - mkl 2024.1.0 h66d3029_692
+  - mkl 2024.1.0 h66d3029_694
   constrains:
-  - liblapacke 3.9.0 22_win64_mkl
   - blas * mkl
-  - libcblas 3.9.0 22_win64_mkl
-  - liblapack 3.9.0 22_win64_mkl
+  - liblapack 3.9.0 23_win64_mkl
+  - libcblas 3.9.0 23_win64_mkl
+  - liblapacke 3.9.0 23_win64_mkl
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 5182602
-  timestamp: 1712542984136
+  size: 5192100
+  timestamp: 1721689573083
 - kind: conda
   name: libbrotlicommon
   version: 1.1.0
-  build: h0dc2134_1
-  build_number: 1
+  build: h00291cd_2
+  build_number: 2
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.1.0-h0dc2134_1.conda
-  sha256: f57c57c442ef371982619f82af8735f93a4f50293022cfd1ffaf2ff89c2e0b2a
-  md5: 9e6c31441c9aa24e41ace40d6151aab6
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 67476
-  timestamp: 1695990207321
-- kind: conda
-  name: libbrotlicommon
-  version: 1.1.0
-  build: hb547adb_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.1.0-hb547adb_1.conda
-  sha256: 556f0fddf4bd4d35febab404d98cb6862ce3b7ca843e393da0451bfc4654cf07
-  md5: cd68f024df0304be41d29a9088162b02
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.1.0-h00291cd_2.conda
+  sha256: b377056470a9fb4a100aa3c51b3581aab6496ba84d21cd99bcc1d5ef0359b1b6
+  md5: 58f2c4bdd56c46cc7451596e4ae68e0b
+  depends:
+  - __osx >=10.13
   license: MIT
   license_family: MIT
   purls: []
-  size: 68579
-  timestamp: 1695990426128
+  size: 67267
+  timestamp: 1725267768667
 - kind: conda
   name: libbrotlicommon
   version: 1.1.0
-  build: hcfcfb64_1
-  build_number: 1
+  build: h2466b09_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlicommon-1.1.0-hcfcfb64_1.conda
-  sha256: f75fed29b0cc503d1b149a4945eaa32df56e19da5e2933de29e8f03947203709
-  md5: f77f319fb82980166569e1280d5b2864
+  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlicommon-1.1.0-h2466b09_2.conda
+  sha256: 33e8851c6cc8e2d93059792cd65445bfe6be47e4782f826f01593898ec95764c
+  md5: f7dc9a8f21d74eab46456df301da2972
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
@@ -7109,196 +6893,183 @@ packages:
   license: MIT
   license_family: MIT
   purls: []
-  size: 70598
-  timestamp: 1695990405143
+  size: 70526
+  timestamp: 1725268159739
 - kind: conda
   name: libbrotlicommon
   version: 1.1.0
-  build: hd590300_1
-  build_number: 1
+  build: hb9d3cd8_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda
-  sha256: 40f29d1fab92c847b083739af86ad2f36d8154008cf99b64194e4705a1725d78
-  md5: aec6c91c7371c26392a06708a73c70e5
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda
+  sha256: d9db2de60ea917298e658143354a530e9ca5f9c63471c65cf47ab39fd2f429e3
+  md5: 41b599ed2b02abcfdd84302bff174b23
   depends:
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 69403
-  timestamp: 1695990007212
+  size: 68851
+  timestamp: 1725267660471
 - kind: conda
-  name: libbrotlidec
+  name: libbrotlicommon
   version: 1.1.0
-  build: h0dc2134_1
-  build_number: 1
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.1.0-h0dc2134_1.conda
-  sha256: b11939c4c93c29448660ab5f63273216969d1f2f315dd9be60f3c43c4e61a50c
-  md5: 9ee0bab91b2ca579e10353738be36063
+  build: hd74edd7_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.1.0-hd74edd7_2.conda
+  sha256: 839dacb741bdbb25e58f42088a2001b649f4f12195aeb700b5ddfca3267749e5
+  md5: d0bf1dff146b799b319ea0434b93f779
   depends:
-  - libbrotlicommon 1.1.0 h0dc2134_1
+  - __osx >=11.0
   license: MIT
   license_family: MIT
   purls: []
-  size: 30327
-  timestamp: 1695990232422
+  size: 68426
+  timestamp: 1725267943211
 - kind: conda
   name: libbrotlidec
   version: 1.1.0
-  build: hb547adb_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.1.0-hb547adb_1.conda
-  sha256: c1c85937828ad3bc434ac60b7bcbde376f4d2ea4ee42d15d369bf2a591775b4a
-  md5: ee1a519335cc10d0ec7e097602058c0a
+  build: h00291cd_2
+  build_number: 2
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.1.0-h00291cd_2.conda
+  sha256: 4d49ea72e2f44d2d7a8be5472e4bd0bc2c6b89c55569de2c43576363a0685c0c
+  md5: 34709a1f5df44e054c4a12ab536c5459
   depends:
-  - libbrotlicommon 1.1.0 hb547adb_1
+  - __osx >=10.13
+  - libbrotlicommon 1.1.0 h00291cd_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 28928
-  timestamp: 1695990463780
+  size: 29872
+  timestamp: 1725267807289
 - kind: conda
   name: libbrotlidec
   version: 1.1.0
-  build: hcfcfb64_1
-  build_number: 1
+  build: h2466b09_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.1.0-hcfcfb64_1.conda
-  sha256: 1b352ee05931ea24c11cd4a994d673890fd1cc690c21e023e736bdaac2632e93
-  md5: 19ce3e1dacc7912b3d6ff40690ba9ae0
+  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.1.0-h2466b09_2.conda
+  sha256: 234fc92f4c4f1cf22f6464b2b15bfc872fa583c74bf3ab9539ff38892c43612f
+  md5: 9bae75ce723fa34e98e239d21d752a7e
   depends:
-  - libbrotlicommon 1.1.0 hcfcfb64_1
+  - libbrotlicommon 1.1.0 h2466b09_2
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 32788
-  timestamp: 1695990443165
+  size: 32685
+  timestamp: 1725268208844
 - kind: conda
   name: libbrotlidec
   version: 1.1.0
-  build: hd590300_1
-  build_number: 1
+  build: hb9d3cd8_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
-  sha256: 86fc861246fbe5ad85c1b6b3882aaffc89590a48b42d794d3d5c8e6d99e5f926
-  md5: f07002e225d7a60a694d42a7bf5ff53f
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.conda
+  sha256: 2892d512cad096cb03f1b66361deeab58b64e15ba525d6592bb6d609e7045edf
+  md5: 9566f0bd264fbd463002e759b8a82401
   depends:
-  - libbrotlicommon 1.1.0 hd590300_1
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libbrotlicommon 1.1.0 hb9d3cd8_2
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 32775
-  timestamp: 1695990022788
+  size: 32696
+  timestamp: 1725267669305
 - kind: conda
-  name: libbrotlienc
+  name: libbrotlidec
   version: 1.1.0
-  build: h0dc2134_1
-  build_number: 1
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.1.0-h0dc2134_1.conda
-  sha256: bc964c23e1a60ca1afe7bac38a9c1f2af3db4a8072c9f2eac4e4de537a844ac7
-  md5: 8a421fe09c6187f0eb5e2338a8a8be6d
+  build: hd74edd7_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.1.0-hd74edd7_2.conda
+  sha256: 6c6862eb274f21a7c0b60e5345467a12e6dda8b9af4438c66d496a2c1a538264
+  md5: 55e66e68ce55523a6811633dd1ac74e2
   depends:
-  - libbrotlicommon 1.1.0 h0dc2134_1
+  - __osx >=11.0
+  - libbrotlicommon 1.1.0 hd74edd7_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 299092
-  timestamp: 1695990259225
+  size: 28378
+  timestamp: 1725267980316
 - kind: conda
   name: libbrotlienc
   version: 1.1.0
-  build: hb547adb_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.1.0-hb547adb_1.conda
-  sha256: 690dfc98e891ee1871c54166d30f6e22edfc2d7d6b29e7988dde5f1ce271c81a
-  md5: d7e077f326a98b2cc60087eaff7c730b
+  build: h00291cd_2
+  build_number: 2
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.1.0-h00291cd_2.conda
+  sha256: 477d236d389473413a1ccd2bec1b66b2f1d2d7d1b4a57bb56421b7b611a56cd1
+  md5: 691f0dcb36f1ae67f5c489f20ae987ea
   depends:
-  - libbrotlicommon 1.1.0 hb547adb_1
+  - __osx >=10.13
+  - libbrotlicommon 1.1.0 h00291cd_2
   license: MIT
   license_family: MIT
   purls: []
-  size: 280943
-  timestamp: 1695990509392
+  size: 296353
+  timestamp: 1725267822076
 - kind: conda
   name: libbrotlienc
   version: 1.1.0
-  build: hcfcfb64_1
-  build_number: 1
+  build: h2466b09_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-hcfcfb64_1.conda
-  sha256: eae6b76154e594c6d211160c6d1aeed848672618152a562e0eabdfa641d34aca
-  md5: 71e890a0b361fd58743a13f77e1506b7
+  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-h2466b09_2.conda
+  sha256: 3d0dd7ef505962f107b7ea8f894e0b3dd01bf46852b362c8a7fc136b039bc9e1
+  md5: 85741a24d97954a991e55e34bc55990b
   depends:
-  - libbrotlicommon 1.1.0 hcfcfb64_1
+  - libbrotlicommon 1.1.0 h2466b09_2
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 246515
-  timestamp: 1695990479484
+  size: 245929
+  timestamp: 1725268238259
 - kind: conda
   name: libbrotlienc
   version: 1.1.0
-  build: hd590300_1
-  build_number: 1
+  build: hb9d3cd8_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
-  sha256: f751b8b1c4754a2a8dfdc3b4040fa7818f35bbf6b10e905a47d3a194b746b071
-  md5: 5fc11c6020d421960607d821310fcd4d
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda
+  sha256: 779f58174e99de3600e939fa46eddb453ec5d3c60bb46cdaa8b4c127224dbf29
+  md5: 06f70867945ea6a84d35836af780f1de
   depends:
-  - libbrotlicommon 1.1.0 hd590300_1
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libbrotlicommon 1.1.0 hb9d3cd8_2
+  - libgcc >=13
   license: MIT
   license_family: MIT
   purls: []
-  size: 282523
-  timestamp: 1695990038302
-- kind: conda
-  name: libcap
-  version: '2.69'
-  build: h0f662aa_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.69-h0f662aa_0.conda
-  sha256: 942f9564b4228609f017b6617425d29a74c43b8a030e12239fa4458e5cb6323c
-  md5: 25cb5999faa414e5ccb2c1388f62d3d5
-  depends:
-  - attr >=2.5.1,<2.6.0a0
-  - libgcc-ng >=12
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 100582
-  timestamp: 1684162447012
+  size: 281750
+  timestamp: 1725267679782
 - kind: conda
-  name: libcblas
-  version: 3.9.0
-  build: 22_linux64_openblas
-  build_number: 22
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
-  sha256: da1b2faa017663c8f5555c1c5518e96ac4cd8e0be2a673c1c9e2cb8507c8fe46
-  md5: 4b31699e0ec5de64d5896e580389c9a1
+  name: libbrotlienc
+  version: 1.1.0
+  build: hd74edd7_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.1.0-hd74edd7_2.conda
+  sha256: eeb1eb0d58b9d02bc1b98dc0a058f104ab168eb2f7d1c7bfa0570a12cfcdb7b7
+  md5: 4f3a434504c67b2c42565c0b85c1885c
   depends:
-  - libblas 3.9.0 22_linux64_openblas
-  constrains:
-  - liblapack 3.9.0 22_linux64_openblas
-  - blas * openblas
-  - liblapacke 3.9.0 22_linux64_openblas
-  license: BSD-3-Clause
-  license_family: BSD
+  - __osx >=11.0
+  - libbrotlicommon 1.1.0 hd74edd7_2
+  license: MIT
+  license_family: MIT
   purls: []
-  size: 14438
-  timestamp: 1712542270166
+  size: 279644
+  timestamp: 1725268003553
 - kind: conda
   name: libcblas
   version: 3.9.0
@@ -7322,88 +7093,112 @@ packages:
 - kind: conda
   name: libcblas
   version: 3.9.0
-  build: 22_osxarm64_openblas
-  build_number: 22
+  build: 23_linux64_openblas
+  build_number: 23
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-23_linux64_openblas.conda
+  sha256: 3e7a3236e7e03e308e1667d91d0aa70edd0cba96b4b5563ef4adde088e0881a5
+  md5: eede29b40efa878cbe5bdcb767e97310
+  depends:
+  - libblas 3.9.0 23_linux64_openblas
+  constrains:
+  - liblapacke 3.9.0 23_linux64_openblas
+  - liblapack 3.9.0 23_linux64_openblas
+  - blas * openblas
+  license: BSD-3-Clause
+  license_family: BSD
+  purls: []
+  size: 14798
+  timestamp: 1721688767584
+- kind: conda
+  name: libcblas
+  version: 3.9.0
+  build: 23_osxarm64_openblas
+  build_number: 23
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-22_osxarm64_openblas.conda
-  sha256: 2c7902985dc77db1d7252b4e838d92a34b1729799ae402988d62d077868f6cca
-  md5: 37b3682240a69874a22658dedbca37d9
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-23_osxarm64_openblas.conda
+  sha256: c39d944909d0608bd0333398be5e0051045c9451bfd6cc6320732d33375569c8
+  md5: bad6ee9b7d5584efc2bc5266137b5f0d
   depends:
-  - libblas 3.9.0 22_osxarm64_openblas
+  - libblas 3.9.0 23_osxarm64_openblas
   constrains:
+  - liblapack 3.9.0 23_osxarm64_openblas
+  - liblapacke 3.9.0 23_osxarm64_openblas
   - blas * openblas
-  - liblapack 3.9.0 22_osxarm64_openblas
-  - liblapacke 3.9.0 22_osxarm64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 14741
-  timestamp: 1712542420590
+  size: 14991
+  timestamp: 1721689017803
 - kind: conda
   name: libcblas
   version: 3.9.0
-  build: 22_win64_mkl
-  build_number: 22
+  build: 23_win64_mkl
+  build_number: 23
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-22_win64_mkl.conda
-  sha256: 5503273924650330dc03edd1eb01ec4020b9967b5a4cafc377ba20b976d15590
-  md5: 336c93ab102846c6131cf68e722a68f1
+  url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-23_win64_mkl.conda
+  sha256: 80b471a22affadc322006399209e1d12eb4ab4e3125ed6d01b4031e09de16753
+  md5: 7ffb5b336cefd2e6d1e00ac1f7c9f2c9
   depends:
-  - libblas 3.9.0 22_win64_mkl
+  - libblas 3.9.0 23_win64_mkl
   constrains:
-  - liblapacke 3.9.0 22_win64_mkl
   - blas * mkl
-  - liblapack 3.9.0 22_win64_mkl
+  - liblapack 3.9.0 23_win64_mkl
+  - liblapacke 3.9.0 23_win64_mkl
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 5191513
-  timestamp: 1712543043641
+  size: 5191981
+  timestamp: 1721689628480
 - kind: conda
-  name: libclang-cpp15
-  version: 15.0.7
-  build: default_h127d8a8_5
-  build_number: 5
+  name: libclang-cpp18.1
+  version: 18.1.8
+  build: default_hf981a13_4
+  build_number: 4
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp15-15.0.7-default_h127d8a8_5.conda
-  sha256: 9b0238e705a33da74ca82efd03974f499550f7dada1340cc9cb7c35a92411ed8
-  md5: d0a9633b53cdc319b8a1a532ae7822b8
+  url: https://conda.anaconda.org/conda-forge/linux-64/libclang-cpp18.1-18.1.8-default_hf981a13_4.conda
+  sha256: ec7ed3003f4b1507043f7a4ad85339c7a20898ff213e8f77f51f69c30d76780a
+  md5: 7b72d74b57e681251536094b96ba9c46
   depends:
-  - libgcc-ng >=12
-  - libllvm15 >=15.0.7,<15.1.0a0
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=12
+  - libllvm18 >=18.1.8,<18.2.0a0
+  - libstdcxx >=12
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 17206402
-  timestamp: 1711063711931
+  size: 19176386
+  timestamp: 1725430019231
 - kind: conda
   name: libclang13
-  version: 18.1.7
-  build: default_h087397f_0
+  version: 18.1.8
+  build: default_h9def88c_4
+  build_number: 4
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libclang13-18.1.7-default_h087397f_0.conda
-  sha256: d981a2734c3af6217dd42c1bccc13b99fc3ca5a64c379739612d6cf67f992a1d
-  md5: 536526073c2e7f9056fdce8584da779e
+  url: https://conda.anaconda.org/conda-forge/linux-64/libclang13-18.1.8-default_h9def88c_4.conda
+  sha256: 606c82d902a6d343b1b21967d30d73f6d54b8340fe180f2b0641fb775fba91e9
+  md5: 7e3f831d4ae9820999418821be65ff67
   depends:
-  - libgcc-ng >=12
-  - libllvm18 >=18.1.7,<18.2.0a0
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=12
+  - libllvm18 >=18.1.8,<18.2.0a0
+  - libstdcxx >=12
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 11057579
-  timestamp: 1717819075043
+  size: 11017079
+  timestamp: 1725430212320
 - kind: conda
   name: libclang13
-  version: 18.1.7
-  build: default_h97ce8ae_0
+  version: 18.1.8
+  build: default_ha5278ca_4
+  build_number: 4
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libclang13-18.1.7-default_h97ce8ae_0.conda
-  sha256: c3c53f959a79747f78a31764af41b82e3c2b3f4576737581ba0237d33cdee85f
-  md5: a005e5fd30f14fcd2bc3e5ac57aa45a7
+  url: https://conda.anaconda.org/conda-forge/win-64/libclang13-18.1.8-default_ha5278ca_4.conda
+  sha256: be74316898c456b0a19fcbbe73f94f6a9459d444317e932a0636882603edae3e
+  md5: e9d701da6db17a9638be8dc5569b0327
   depends:
-  - libzlib >=1.2.13,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
@@ -7411,43 +7206,43 @@ packages:
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 25318021
-  timestamp: 1717824973079
+  size: 25317731
+  timestamp: 1725434281988
 - kind: conda
   name: libcublas
-  version: 12.5.2.13
-  build: he02047a_0
+  version: 12.6.1.4
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.5.2.13-he02047a_0.conda
-  sha256: 0c78188a83f749e4ee0cc88a8b9cf61f9672d06e67010fb70277e47381462558
-  md5: 47c59ede9bb1cf846e3b30e3b04bcabb
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcublas-12.6.1.4-h5888daf_0.conda
+  sha256: e8349a5c72abf5ae3332dbbab87c4fb4ef08b0bd40c632cdca7eb6bad67af5ff
+  md5: 29f88556b831cd494657a306c9172fcb
   depends:
   - __glibc >=2.17,<3.0.a0
   - cuda-nvrtc
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 251929375
-  timestamp: 1716326870507
+  size: 260716679
+  timestamp: 1724961405395
 - kind: conda
   name: libcufft
-  version: 11.2.3.18
-  build: he02047a_0
+  version: 11.2.6.59
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.3.18-he02047a_0.conda
-  sha256: 27dfd69356da46db389e69890fdb84a4d6f983483126a7fde6375e62ee3e25e8
-  md5: d7a177f866e0cefcd7156cef5b679f8e
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcufft-11.2.6.59-h5888daf_0.conda
+  sha256: b5d2357eb9cfe67fb6bfaa2b63f5bd18cc323fe621f1f34afcdd1e2204423b0e
+  md5: f69dfc1e96ce1cb20324a59dabe8d0b6
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 155965051
-  timestamp: 1716319852201
+  size: 155839617
+  timestamp: 1724958128278
 - kind: conda
   name: libcups
   version: 2.3.3
@@ -7469,147 +7264,171 @@ packages:
   timestamp: 1689195353551
 - kind: conda
   name: libcurand
-  version: 10.3.6.39
-  build: he02047a_0
+  version: 10.3.7.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.6.39-he02047a_0.conda
-  sha256: e2f4fb2ce71686f801b9e9577639427160b2d4b023d561a6f82da1a6cbc24021
-  md5: 8705dc9824147e22b424ec2e7d3e0ba6
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcurand-10.3.7.68-h5888daf_0.conda
+  sha256: c45e163631068a1f6496678e3052724ccad299833c733b9ebdd8dfee0994de3f
+  md5: b4bc47b6b9b3526e88195f8c916de22e
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 41586702
-  timestamp: 1716319576494
+  size: 41748894
+  timestamp: 1724958008453
 - kind: conda
   name: libcusolver
-  version: 11.6.2.40
-  build: he02047a_0
+  version: 11.6.4.69
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.2.40-he02047a_0.conda
-  sha256: 5770a3c605218c0f51e1a80589170ca84f9e54fc4b8e202f0b12e5d60d3b01ca
-  md5: 8b1f3865c5e6b84fd198b30b2f13e445
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcusolver-11.6.4.69-h5888daf_0.conda
+  sha256: 45027f9dcb11a983ffd644a330c4e0271b7614ebe0692922a9568ac2f302e913
+  md5: fc9e14a670f0cb32620fbaa120220caa
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libcublas >=12.5.2.13,<12.6.0a0
-  - libcusparse >=12.4.1.24,<12.5.0a0
-  - libgcc-ng >=12
-  - libnvjitlink >=12.5.40,<12.6.0a0
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libcublas >=12.6.1.4,<12.7.0a0
+  - libcusparse >=12.5.3.3,<12.6.0a0
+  - libgcc >=13
+  - libnvjitlink >=12.6.68,<12.7.0a0
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 83060867
-  timestamp: 1716356949171
+  size: 83297629
+  timestamp: 1724973412148
 - kind: conda
   name: libcusparse
-  version: 12.4.1.24
-  build: he02047a_0
+  version: 12.5.3.3
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.4.1.24-he02047a_0.conda
-  sha256: 757f0bb987358a4eb38412d1886f518009edb1ac948de1b0b5e1e1b61f020bbf
-  md5: da5b8143844ef965f8482392cbe03cae
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcusparse-12.5.3.3-h5888daf_0.conda
+  sha256: d976ee9d2501c118d016de6abb24e69ea791d458369a188d80892afd88f6dca3
+  md5: c8fbcb107e6259e608f09be0e594bb7f
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libnvjitlink >=12.5.40,<12.6.0a0
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libnvjitlink >=12.6.68,<12.7.0a0
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 118998350
-  timestamp: 1716326918183
+  size: 124383362
+  timestamp: 1724962392645
 - kind: conda
   name: libcxx
-  version: 17.0.6
-  build: h5f092b4_0
+  version: 18.1.8
+  build: h3ed4263_7
+  build_number: 7
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-17.0.6-h5f092b4_0.conda
-  sha256: 119d3d9306f537d4c89dc99ed99b94c396d262f0b06f7833243646f68884f2c2
-  md5: a96fd5dda8ce56c86a971e0fa02751d0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-18.1.8-h3ed4263_7.conda
+  sha256: 15b4abaa249f0965ce42aeb4a1a2b1b5df9a1f402e7c5bd8156272fd6cad2878
+  md5: e0e7d9a2ec0f9509ffdfd5f48da522fb
   depends:
   - __osx >=11.0
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 1248885
-  timestamp: 1715020154867
+  size: 436921
+  timestamp: 1725403628507
 - kind: conda
   name: libcxx
-  version: 17.0.6
-  build: h88467a6_0
+  version: 18.1.8
+  build: hd876a4e_7
+  build_number: 7
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libcxx-17.0.6-h88467a6_0.conda
-  sha256: e7b57062c1edfcbd13d2129467c94cbff7f0a988ee75782bf48b1dc0e6300b8b
-  md5: 0fe355aecb8d24b8bc07c763209adbd9
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcxx-18.1.8-hd876a4e_7.conda
+  sha256: ca43fcc18bff98cbf456ccc76fe113b2afe01d4156c2899b638fd1bc0323d239
+  md5: c346ae5c96382a12563e3b0c403c8c4a
   depends:
   - __osx >=10.13
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 1249309
-  timestamp: 1715020018902
+  size: 439306
+  timestamp: 1725403678987
 - kind: conda
   name: libdeflate
-  version: '1.20'
-  build: h49d49c5_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.20-h49d49c5_0.conda
-  sha256: 8c2087952db55c4118dd2e29381176a54606da47033fd61ebb1b0f4391fcd28d
-  md5: d46104f6a896a0bc6a1d37b88b2edf5c
+  version: '1.21'
+  build: h2466b09_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libdeflate-1.21-h2466b09_0.conda
+  sha256: ebb21b910164d97dc23be83ba29a8004b9bba7536dc850c6d8b00bbb84259e78
+  md5: 4ebe2206ebf4bf38f6084ad836110361
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 70364
-  timestamp: 1711196727346
+  size: 155801
+  timestamp: 1722820571739
 - kind: conda
   name: libdeflate
-  version: '1.20'
-  build: h93a5062_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.20-h93a5062_0.conda
-  sha256: 6d16cccb141b6bb05c38107b335089046664ea1d6611601d3f6e7e4227a99925
-  md5: 97efeaeba2a9a82bdf46fc6d025e3a57
+  version: '1.21'
+  build: h4bc722e_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.21-h4bc722e_0.conda
+  sha256: 728c24ce835700bfdfdf106bf04233fdb040a61ca4ecfd3f41b46fa90cd4f971
+  md5: 36ce76665bf67f5aac36be7a0d21b7f3
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
   license: MIT
   license_family: MIT
   purls: []
-  size: 54481
-  timestamp: 1711196723486
+  size: 71163
+  timestamp: 1722820138782
 - kind: conda
   name: libdeflate
-  version: '1.20'
-  build: hcfcfb64_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libdeflate-1.20-hcfcfb64_0.conda
-  sha256: 6628a5b76ad70c1a0909563c637ddc446ee824739ba7c348d4da2f0aa6ac9527
-  md5: b12b5bde5eb201a1df75e49320cc938a
+  version: '1.21'
+  build: h99b78c6_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.21-h99b78c6_0.conda
+  sha256: 243ca6d733954df9522eb9da24f5fe58da7ac19a2ca9438fd4abef5bb2cd1f83
+  md5: 67d666c1516be5a023c3aaa85867099b
   depends:
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - __osx >=11.0
   license: MIT
   license_family: MIT
   purls: []
-  size: 155358
-  timestamp: 1711197066985
+  size: 54533
+  timestamp: 1722820240854
 - kind: conda
   name: libdeflate
-  version: '1.20'
-  build: hd590300_0
+  version: '1.21'
+  build: hfdf4475_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.21-hfdf4475_0.conda
+  sha256: 1defb3e5243a74a9ef64de2a47812f524664e46ca9dbecb8d7c746cb1779038e
+  md5: 88409b23a5585c15d52de0073f3c9c61
+  depends:
+  - __osx >=10.13
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 70570
+  timestamp: 1722820232914
+- kind: conda
+  name: libdrm
+  version: 2.4.123
+  build: hb9d3cd8_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.20-hd590300_0.conda
-  sha256: f8e0f25c382b1d0b87a9b03887a34dbd91485453f1ea991fef726dba57373612
-  md5: 8e88f9389f1165d7c0936fe40d9a9a79
+  url: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda
+  sha256: 5f274243fc7480b721a4ed6623c72d07b86a508a1363a85f0f16451ab655ace8
+  md5: ee605e794bdc14e2b7f84c4faa0d8c2c
   depends:
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=13
+  - libpciaccess >=0.18,<0.19.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 71500
-  timestamp: 1711196523408
+  size: 303108
+  timestamp: 1724719521496
 - kind: conda
   name: libedit
   version: 3.1.20191231
@@ -7660,84 +7479,91 @@ packages:
   size: 123878
   timestamp: 1597616541093
 - kind: conda
-  name: libevent
-  version: 2.1.12
-  build: hf998b51_1
-  build_number: 1
+  name: libegl
+  version: 1.7.0
+  build: ha4b6fd6_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
-  sha256: 2e14399d81fb348e9d231a82ca4d816bf855206923759b69ad006ba482764131
-  md5: a1cfcc585f0c42bf8d5546bb1dfb668d
+  url: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_0.conda
+  sha256: d577ab061760e631c2980eb88d6970e43391c461a89fc7cd6f98e2999d626d44
+  md5: 35e52d19547cb3265a09c49de146a5ae
   depends:
-  - libgcc-ng >=12
-  - openssl >=3.1.1,<4.0a0
-  license: BSD-3-Clause
-  license_family: BSD
+  - __glibc >=2.17,<3.0.a0
+  - libglvnd 1.7.0 ha4b6fd6_0
+  license: LicenseRef-libglvnd
   purls: []
-  size: 427426
-  timestamp: 1685725977222
+  size: 44492
+  timestamp: 1723473193819
 - kind: conda
   name: libexpat
-  version: 2.6.2
-  build: h59595ed_0
+  version: 2.6.3
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.2-h59595ed_0.conda
-  sha256: 331bb7c7c05025343ebd79f86ae612b9e1e74d2687b8f3179faec234f986ce19
-  md5: e7ba12deb7020dd080c6c70e7b6f6a3d
+  url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda
+  sha256: 4bb47bb2cd09898737a5211e2992d63c555d63715a07ba56eae0aff31fb89c22
+  md5: 59f4c43bb1b5ef1c71946ff2cbf59524
   depends:
-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   constrains:
-  - expat 2.6.2.*
+  - expat 2.6.3.*
   license: MIT
   license_family: MIT
   purls: []
-  size: 73730
-  timestamp: 1710362120304
+  size: 73616
+  timestamp: 1725568742634
 - kind: conda
   name: libexpat
-  version: 2.6.2
-  build: h63175ca_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.2-h63175ca_0.conda
-  sha256: 79f612f75108f3e16bbdc127d4885bb74729cf66a8702fca0373dad89d40c4b7
-  md5: bc592d03f62779511d392c175dcece64
+  version: 2.6.3
+  build: hac325c4_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.3-hac325c4_0.conda
+  sha256: dd22dffad6731c352f4c14603868c9cce4d3b50ff5ff1e50f416a82dcb491947
+  md5: c1db99b0a94a2f23bd6ce39e2d314e07
+  depends:
+  - __osx >=10.13
   constrains:
-  - expat 2.6.2.*
+  - expat 2.6.3.*
   license: MIT
   license_family: MIT
   purls: []
-  size: 139224
-  timestamp: 1710362609641
+  size: 70517
+  timestamp: 1725568864316
 - kind: conda
   name: libexpat
-  version: 2.6.2
-  build: h73e2aa4_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.6.2-h73e2aa4_0.conda
-  sha256: a188a77b275d61159a32ab547f7d17892226e7dac4518d2c6ac3ac8fc8dfde92
-  md5: 3d1d51c8f716d97c864d12f7af329526
+  version: 2.6.3
+  build: he0c23c2_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.6.3-he0c23c2_0.conda
+  sha256: 9543965d155b8da96fc67dd81705fe5c2571c7c00becc8de5534c850393d4e3c
+  md5: 21415fbf4d0de6767a621160b43e5dea
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   constrains:
-  - expat 2.6.2.*
+  - expat 2.6.3.*
   license: MIT
   license_family: MIT
   purls: []
-  size: 69246
-  timestamp: 1710362566073
+  size: 138992
+  timestamp: 1725569106114
 - kind: conda
   name: libexpat
-  version: 2.6.2
-  build: hebf3989_0
+  version: 2.6.3
+  build: hf9b8971_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.2-hebf3989_0.conda
-  sha256: ba7173ac30064ea901a4c9fb5a51846dcc25512ceb565759be7d18cbf3e5415e
-  md5: e3cde7cfa87f82f7cb13d482d5e0ad09
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.6.3-hf9b8971_0.conda
+  sha256: 5cbe5a199fba14ade55457a468ce663aac0b54832c39aa54470b3889b4c75c4a
+  md5: 5f22f07c2ab2dea8c66fe9585a062c96
+  depends:
+  - __osx >=11.0
   constrains:
-  - expat 2.6.2.*
+  - expat 2.6.3.*
   license: MIT
   license_family: MIT
   purls: []
-  size: 63655
-  timestamp: 1710362424980
+  size: 63895
+  timestamp: 1725568783033
 - kind: conda
   name: libffi
   version: 3.4.2
@@ -7800,107 +7626,58 @@ packages:
   size: 42063
   timestamp: 1636489106777
 - kind: conda
-  name: libflac
-  version: 1.4.3
-  build: h59595ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libflac-1.4.3-h59595ed_0.conda
-  sha256: 65908b75fa7003167b8a8f0001e11e58ed5b1ef5e98b96ab2ba66d7c1b822c7d
-  md5: ee48bf17cc83a00f59ca1494d5646869
-  depends:
-  - gettext >=0.21.1,<1.0a0
-  - libgcc-ng >=12
-  - libogg 1.3.*
-  - libogg >=1.3.4,<1.4.0a0
-  - libstdcxx-ng >=12
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 394383
-  timestamp: 1687765514062
-- kind: conda
-  name: libgcc-devel_linux-64
-  version: 12.3.0
-  build: h0223996_107
-  build_number: 107
-  subdir: noarch
-  noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-12.3.0-h0223996_107.conda
-  sha256: d6623e46608ef1baf2baa14ac77d0aefbc5187f1b9b5423592bfa124054e6753
-  md5: 851e9651c9e4cd5dc19f80398eba9a1c
-  license: GPL-3.0-only WITH GCC-exception-3.1
-  license_family: GPL
-  purls: []
-  size: 2532549
-  timestamp: 1715016464312
-- kind: conda
-  name: libgcc-ng
-  version: 13.2.0
-  build: h77fa898_7
-  build_number: 7
+  name: libgcc
+  version: 14.1.0
+  build: h77fa898_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda
-  sha256: 62af2b89acbe74a21606c8410c276e57309c0a2ab8a9e8639e3c8131c0b60c92
-  md5: 72ec1b1b04c4d15d4204ece1ecea5978
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda
+  sha256: 10fa74b69266a2be7b96db881e18fa62cfa03082b65231e8d652e897c4b335a3
+  md5: 002ef4463dd1e2b44a94a4ace468f5d2
   depends:
   - _libgcc_mutex 0.1 conda_forge
   - _openmp_mutex >=4.5
   constrains:
-  - libgomp 13.2.0 h77fa898_7
+  - libgomp 14.1.0 h77fa898_1
+  - libgcc-ng ==14.1.0=*_1
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 775806
-  timestamp: 1715016057793
+  size: 846380
+  timestamp: 1724801836552
 - kind: conda
-  name: libgcrypt
-  version: 1.10.3
-  build: hd590300_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-1.10.3-hd590300_0.conda
-  sha256: d1bd47faa29fec7288c7b212198432b07f890d3d6f646078da93b059c2e9daff
-  md5: 32d16ad533c59bb0a3c5ffaf16110829
-  depends:
-  - libgcc-ng >=12
-  - libgpg-error >=1.47,<2.0a0
-  license: LGPL-2.1-or-later AND GPL-2.0-or-later
-  license_family: GPL
-  purls: []
-  size: 634887
-  timestamp: 1701383493365
-- kind: conda
-  name: libgettextpo
-  version: 0.22.5
-  build: h59595ed_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-0.22.5-h59595ed_2.conda
-  sha256: e2f784564a2bdc6f753f00f63cc77c97601eb03bc89dccc4413336ec6d95490b
-  md5: 172bcc51059416e7ce99e7b528cede83
+  name: libgcc-devel_linux-64
+  version: 13.3.0
+  build: h84ea5a7_101
+  build_number: 101
+  subdir: noarch
+  noarch: generic
+  url: https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-13.3.0-h84ea5a7_101.conda
+  sha256: 027cfb011328a108bc44f512a2dec6d954db85709e0b79b748c3392f85de0c64
+  md5: 0ce69d40c142915ac9734bc6134e514a
   depends:
-  - libgcc-ng >=12
-  license: GPL-3.0-or-later
+  - __unix
+  license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 170582
-  timestamp: 1712512286907
+  size: 2598313
+  timestamp: 1724801050802
 - kind: conda
-  name: libgettextpo-devel
-  version: 0.22.5
-  build: h59595ed_2
-  build_number: 2
+  name: libgcc-ng
+  version: 14.1.0
+  build: h69a702a_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-devel-0.22.5-h59595ed_2.conda
-  sha256: 695eb2439ad4a89e4205dd675cc52fba5cef6b5d41b83f07cdbf4770a336cc15
-  md5: b63d9b6da3653179a278077f0de20014
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda
+  sha256: b91f7021e14c3d5c840fbf0dc75370d6e1f7c7ff4482220940eaafb9c64613b7
+  md5: 1efc0ad219877a73ef977af7dbb51f17
   depends:
-  - libgcc-ng >=12
-  - libgettextpo 0.22.5 h59595ed_2
-  license: GPL-3.0-or-later
+  - libgcc 14.1.0 h77fa898_1
+  license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 36758
-  timestamp: 1712512303244
+  size: 52170
+  timestamp: 1724801842101
 - kind: conda
   name: libgfortran
   version: 5.0.0
@@ -7933,22 +7710,40 @@ packages:
   purls: []
   size: 110233
   timestamp: 1707330749033
+- kind: conda
+  name: libgfortran
+  version: 14.1.0
+  build: h69a702a_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda
+  sha256: ed77f04f873e43a26e24d443dd090631eedc7d0ace3141baaefd96a123e47535
+  md5: 591e631bc1ae62c64f2ab4f66178c097
+  depends:
+  - libgfortran5 14.1.0 hc5f4f2c_1
+  constrains:
+  - libgfortran-ng ==14.1.0=*_1
+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
+  purls: []
+  size: 52142
+  timestamp: 1724801872472
 - kind: conda
   name: libgfortran-ng
-  version: 13.2.0
-  build: h69a702a_7
-  build_number: 7
+  version: 14.1.0
+  build: h69a702a_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_7.conda
-  sha256: a588e69f96b8e0983a8cdfdbf1dc75eb48189f5420ec71150c8d8cdc0a811a9b
-  md5: 1b84f26d9f4f6026e179e7805d5a15cd
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.1.0-h69a702a_1.conda
+  sha256: a2dc35cb7f87bb5beebf102d4085574c6a740e1df58e743185d4434cc5e4e0ae
+  md5: 16cec94c5992d7f42ae3f9fa8b25df8d
   depends:
-  - libgfortran5 13.2.0 hca663fb_7
+  - libgfortran 14.1.0 h69a702a_1
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 24314
-  timestamp: 1715016272844
+  size: 52212
+  timestamp: 1724802086021
 - kind: conda
   name: libgfortran5
   version: 13.2.0
@@ -7967,24 +7762,6 @@ packages:
   purls: []
   size: 1571379
   timestamp: 1707328880361
-- kind: conda
-  name: libgfortran5
-  version: 13.2.0
-  build: hca663fb_7
-  build_number: 7
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-hca663fb_7.conda
-  sha256: 754ab038115edce550fdccdc9ddf7dead2fa8346b8cdd4428c59ae1e83293978
-  md5: c0bd771f09a326fdcd95a60b617795bf
-  depends:
-  - libgcc-ng >=13.2.0
-  constrains:
-  - libgfortran-ng 13.2.0
-  license: GPL-3.0-only WITH GCC-exception-3.1
-  license_family: GPL
-  purls: []
-  size: 1441361
-  timestamp: 1715016068766
 - kind: conda
   name: libgfortran5
   version: 13.2.0
@@ -8003,84 +7780,132 @@ packages:
   purls: []
   size: 997381
   timestamp: 1707330687590
+- kind: conda
+  name: libgfortran5
+  version: 14.1.0
+  build: hc5f4f2c_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda
+  sha256: c40d7db760296bf9c776de12597d2f379f30e890b9ae70c1de962ff2aa1999f6
+  md5: 10a0cef64b784d6ab6da50ebca4e984d
+  depends:
+  - libgcc >=14.1.0
+  constrains:
+  - libgfortran 14.1.0
+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
+  purls: []
+  size: 1459939
+  timestamp: 1724801851300
+- kind: conda
+  name: libgl
+  version: 1.7.0
+  build: ha4b6fd6_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgl-1.7.0-ha4b6fd6_0.conda
+  sha256: 993f3bfe04e16c58fceab108bf54f1522ff93a657a22a4ced8c56658001d55fa
+  md5: 3deca8c25851196c28d1c84dd4ae9149
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libglvnd 1.7.0 ha4b6fd6_0
+  - libglx 1.7.0 ha4b6fd6_0
+  license: LicenseRef-libglvnd
+  purls: []
+  size: 132746
+  timestamp: 1723473216625
 - kind: conda
   name: libglib
-  version: 2.80.2
-  build: h0df6a38_0
+  version: 2.80.3
+  build: h315aac3_2
+  build_number: 2
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.3-h315aac3_2.conda
+  sha256: 7470e664b780b91708bed356cc634874dfc3d6f17cbf884a1d6f5d6d59c09f91
+  md5: b0143a3e98136a680b728fdf9b42a258
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libffi >=3.4,<4.0a0
+  - libgcc-ng >=12
+  - libiconv >=1.17,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pcre2 >=10.44,<10.45.0a0
+  constrains:
+  - glib 2.80.3 *_2
+  license: LGPL-2.1-or-later
+  purls: []
+  size: 3922900
+  timestamp: 1723208802469
+- kind: conda
+  name: libglib
+  version: 2.80.3
+  build: h7025463_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.80.2-h0df6a38_0.conda
-  sha256: 941bbe089a7a87fbe88324bfc7970a1688c7a765490e25b829ff73c7abc3fc5a
-  md5: ef9ae80bb2a15aee7a30180c057678ea
+  url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.80.3-h7025463_2.conda
+  sha256: 1461eb3b10814630acd1f3a11fc47dbb81c46a4f1f32ed389e3ae050a09c4903
+  md5: b60894793e7e4a555027bfb4e4ed1d54
   depends:
   - libffi >=3.4,<4.0a0
   - libiconv >=1.17,<2.0a0
   - libintl >=0.22.5,<1.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - pcre2 >=10.43,<10.44.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - pcre2 >=10.44,<10.45.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   constrains:
-  - glib 2.80.2 *_0
+  - glib 2.80.3 *_2
   license: LGPL-2.1-or-later
   purls: []
-  size: 3749179
-  timestamp: 1715253077632
+  size: 3726738
+  timestamp: 1723209368854
+- kind: conda
+  name: libglvnd
+  version: 1.7.0
+  build: ha4b6fd6_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_0.conda
+  sha256: ce35ceca19110ba9d27cb0058e55c62ea0489b3dfad76d016df2d0bf4f027998
+  md5: e46b5ae31282252e0525713e34ffbe2b
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  license: LicenseRef-libglvnd
+  purls: []
+  size: 129500
+  timestamp: 1723473188457
 - kind: conda
-  name: libglib
-  version: 2.80.2
-  build: hf974151_0
+  name: libglx
+  version: 1.7.0
+  build: ha4b6fd6_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.80.2-hf974151_0.conda
-  sha256: 93e03b6cf4765bc06d64fa3dac65f22c53ae4a30247bb0e2dea0bd9c47a3fb26
-  md5: 72724f6a78ecb15559396966226d5838
+  url: https://conda.anaconda.org/conda-forge/linux-64/libglx-1.7.0-ha4b6fd6_0.conda
+  sha256: 72ba2a55de3d8902b40359433bbc51f50574067eaf2ae4081a2347d3735e30bb
+  md5: b470cc353c5b852e0d830e8d5d23e952
   depends:
-  - libffi >=3.4,<4.0a0
-  - libgcc-ng >=12
-  - libiconv >=1.17,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - pcre2 >=10.43,<10.44.0a0
-  constrains:
-  - glib 2.80.2 *_0
-  license: LGPL-2.1-or-later
+  - __glibc >=2.17,<3.0.a0
+  - libglvnd 1.7.0 ha4b6fd6_0
+  - xorg-libx11 >=1.8.9,<2.0a0
+  license: LicenseRef-libglvnd
   purls: []
-  size: 3912673
-  timestamp: 1715252654366
+  size: 79343
+  timestamp: 1723473207891
 - kind: conda
   name: libgomp
-  version: 13.2.0
-  build: h77fa898_7
-  build_number: 7
+  version: 14.1.0
+  build: h77fa898_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
-  sha256: 781444fa069d3b50e8ed667b750571cacda785761c7fc2a89ece1ac49693d4ad
-  md5: abf3fec87c2563697defa759dec3d639
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda
+  sha256: c96724c8ae4ee61af7674c5d9e5a3fbcf6cd887a40ad5a52c99aa36f1d4f9680
+  md5: 23c255b008c4f2ae008f81edcabaca89
   depends:
   - _libgcc_mutex 0.1 conda_forge
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 422336
-  timestamp: 1715015995979
-- kind: conda
-  name: libgpg-error
-  version: '1.49'
-  build: h4f305b6_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.49-h4f305b6_0.conda
-  sha256: b2664c2c11211a63856f23278efb49d3e65d902297989a0c12dcd228b5d97110
-  md5: dfcfd72c7a430d3616763ecfbefe4ca9
-  depends:
-  - gettext
-  - libasprintf >=0.22.5,<1.0a0
-  - libgcc-ng >=12
-  - libgettextpo >=0.22.5,<1.0a0
-  - libstdcxx-ng >=12
-  license: GPL-2.0-only
-  license_family: GPL
-  purls: []
-  size: 263319
-  timestamp: 1714121531915
+  size: 460218
+  timestamp: 1724801743478
 - kind: conda
   name: libgrpc
   version: 1.62.2
@@ -8160,13 +7985,13 @@ packages:
   timestamp: 1713392846329
 - kind: conda
   name: libhwloc
-  version: 2.10.0
-  build: default_h8125262_1001
-  build_number: 1001
+  version: 2.11.1
+  build: default_h8125262_1000
+  build_number: 1000
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.10.0-default_h8125262_1001.conda
-  sha256: 7f1aa1b071269df72e88297c046ec153b7f9a81e6f135d2da4401c96f41b5052
-  md5: e761885eb4c181074d172220d46319a0
+  url: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.11.1-default_h8125262_1000.conda
+  sha256: 92728e292640186759d6dddae3334a1bc0b139740b736ffaeccb825fb8c07a2e
+  md5: 933bad6e4658157f1aec9b171374fde2
   depends:
   - libxml2 >=2.12.7,<3.0a0
   - pthreads-win32
@@ -8176,8 +8001,8 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 2373948
-  timestamp: 1715973819139
+  size: 2379689
+  timestamp: 1720461835526
 - kind: conda
   name: libiconv
   version: '1.17'
@@ -8213,34 +8038,18 @@ packages:
 - kind: conda
   name: libintl
   version: 0.22.5
-  build: h5728263_2
-  build_number: 2
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_2.conda
-  sha256: 1b95335af0a3e278b31e16667fa4e51d1c3f5e22d394d982539dfd5d34c5ae19
-  md5: aa622c938af057adc119f8b8eecada01
-  depends:
-  - libiconv >=1.17,<2.0a0
-  license: LGPL-2.1-or-later
-  purls: []
-  size: 95745
-  timestamp: 1712516102666
-- kind: conda
-  name: libintl-devel
-  version: 0.22.5
-  build: h5728263_2
-  build_number: 2
+  build: h5728263_3
+  build_number: 3
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libintl-devel-0.22.5-h5728263_2.conda
-  sha256: 6164fd51abfc7294477c58da77ee1ff9ebc63b9a33404b646407f7fbc3cc7d0d
-  md5: a2ad82fae23975e4ccbfab2847d31d48
+  url: https://conda.anaconda.org/conda-forge/win-64/libintl-0.22.5-h5728263_3.conda
+  sha256: c7e4600f28bcada8ea81456a6530c2329312519efcf0c886030ada38976b0511
+  md5: 2cf0cf76cc15d360dfa2f17fd6cf9772
   depends:
   - libiconv >=1.17,<2.0a0
-  - libintl 0.22.5 h5728263_2
   license: LGPL-2.1-or-later
   purls: []
-  size: 40772
-  timestamp: 1712516363413
+  size: 95568
+  timestamp: 1723629479451
 - kind: conda
   name: libjpeg-turbo
   version: 3.0.0
@@ -8307,26 +8116,6 @@ packages:
   purls: []
   size: 618575
   timestamp: 1694474974816
-- kind: conda
-  name: liblapack
-  version: 3.9.0
-  build: 22_linux64_openblas
-  build_number: 22
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
-  sha256: db246341d42f9100d45adeb1a7ba8b1ef5b51ceb9056fd643e98046a3259fde6
-  md5: b083767b6c877e24ee597d93b87ab838
-  depends:
-  - libblas 3.9.0 22_linux64_openblas
-  constrains:
-  - libcblas 3.9.0 22_linux64_openblas
-  - blas * openblas
-  - liblapacke 3.9.0 22_linux64_openblas
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 14471
-  timestamp: 1712542277696
 - kind: conda
   name: liblapack
   version: 3.9.0
@@ -8350,82 +8139,84 @@ packages:
 - kind: conda
   name: liblapack
   version: 3.9.0
-  build: 22_osxarm64_openblas
-  build_number: 22
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-22_osxarm64_openblas.conda
-  sha256: 2b1b24c98d15a6a3ad54cf7c8fef1ddccf84b7c557cde08235aaeffd1ff50ee8
-  md5: f2794950bc005e123b2c21f7fa3d7a6e
+  build: 23_linux64_openblas
+  build_number: 23
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-23_linux64_openblas.conda
+  sha256: 25c7aef86c8a1d9db0e8ee61aa7462ba3b46b482027a65d66eb83e3e6f949043
+  md5: 2af0879961951987e464722fd00ec1e0
   depends:
-  - libblas 3.9.0 22_osxarm64_openblas
+  - libblas 3.9.0 23_linux64_openblas
   constrains:
+  - liblapacke 3.9.0 23_linux64_openblas
+  - libcblas 3.9.0 23_linux64_openblas
   - blas * openblas
-  - liblapacke 3.9.0 22_osxarm64_openblas
-  - libcblas 3.9.0 22_osxarm64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 14730
-  timestamp: 1712542435551
+  size: 14823
+  timestamp: 1721688775172
 - kind: conda
   name: liblapack
   version: 3.9.0
-  build: 22_win64_mkl
-  build_number: 22
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-22_win64_mkl.conda
-  sha256: 8b28b361a13819ed83a67d3bfdde750a13bc8b50b9af26d94fd61616d0f2d703
-  md5: c752cc2af9f3d8d7b2fdebb915a33ef7
+  build: 23_osxarm64_openblas
+  build_number: 23
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-23_osxarm64_openblas.conda
+  sha256: 13799a137ffc80786725e7e2820d37d4c0d59dbb76013a14c21771415b0a4263
+  md5: 754ef44f72ab80fd14eaa789ac393a27
   depends:
-  - libblas 3.9.0 22_win64_mkl
+  - libblas 3.9.0 23_osxarm64_openblas
   constrains:
-  - liblapacke 3.9.0 22_win64_mkl
-  - blas * mkl
-  - libcblas 3.9.0 22_win64_mkl
+  - blas * openblas
+  - liblapacke 3.9.0 23_osxarm64_openblas
+  - libcblas 3.9.0 23_osxarm64_openblas
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 5182500
-  timestamp: 1712543085027
+  size: 14999
+  timestamp: 1721689026268
 - kind: conda
-  name: libllvm15
-  version: 15.0.7
-  build: hb3ce162_4
-  build_number: 4
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm15-15.0.7-hb3ce162_4.conda
-  sha256: e71584c0f910140630580fdd0a013029a52fd31e435192aea2aa8d29005262d1
-  md5: 8a35df3cbc0c8b12cc8af9473ae75eef
+  name: liblapack
+  version: 3.9.0
+  build: 23_win64_mkl
+  build_number: 23
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-23_win64_mkl.conda
+  sha256: 4f4738602d26935f4d4b0154fb23d48c276c87413c3a5e05274809abfcbe1273
+  md5: 3580796ab7b7d68143f45d4d94d866b7
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - libxml2 >=2.12.1,<3.0.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - zstd >=1.5.5,<1.6.0a0
-  license: Apache-2.0 WITH LLVM-exception
-  license_family: Apache
+  - libblas 3.9.0 23_win64_mkl
+  constrains:
+  - blas * mkl
+  - libcblas 3.9.0 23_win64_mkl
+  - liblapacke 3.9.0 23_win64_mkl
+  license: BSD-3-Clause
+  license_family: BSD
   purls: []
-  size: 33321457
-  timestamp: 1701375836233
+  size: 5191980
+  timestamp: 1721689666180
 - kind: conda
   name: libllvm18
-  version: 18.1.7
-  build: hb77312f_0
+  version: 18.1.8
+  build: h8b73ec9_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm18-18.1.7-hb77312f_0.conda
-  sha256: 9a9167b3e8e05abc517671fe45e5d40ae866d3e8195865ddad3c68131d059e25
-  md5: bc0ea7e1f75a9b1c8467597fbbd9f86b
+  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm18-18.1.8-h8b73ec9_2.conda
+  sha256: 41993f35731d8f24e4f91f9318d6d68a3cfc4b5cf5d54f193fbb3ffd246bf2b7
+  md5: 2e25bb2f53e4a48873a936f8ef53e592
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libgcc-ng >=12
   - libstdcxx-ng >=12
   - libxml2 >=2.12.7,<3.0a0
-  - libzlib >=1.2.13,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - zstd >=1.5.6,<1.6.0a0
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
   purls: []
-  size: 38423980
-  timestamp: 1717781615068
+  size: 38233031
+  timestamp: 1723208627477
 - kind: conda
   name: libnsl
   version: 2.0.1
@@ -8443,63 +8234,32 @@ packages:
   timestamp: 1697359010159
 - kind: conda
   name: libnvjitlink
-  version: 12.5.40
-  build: he02047a_0
+  version: 12.6.68
+  build: h5888daf_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.5.40-he02047a_0.conda
-  sha256: b17d0f44d4f11133048e874f992085ac2b6c2d3d8406b33d3fa855bdd5745855
-  md5: 7bab371da1232dc97962f8cc632c77dc
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnvjitlink-12.6.68-h5888daf_0.conda
+  sha256: 2e52bbcd8d31f46e878bb43d437e646643ac24ee3e675cca98a16ea78671b9e2
+  md5: c9859a923e50c538e2b06f9ce8898ce9
   depends:
   - __glibc >=2.17,<3.0.a0
-  - cuda-version >=12.5,<12.6.0a0
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - cuda-version >=12.6,<12.7.0a0
+  - libgcc >=13
+  - libstdcxx >=13
   license: LicenseRef-NVIDIA-End-User-License-Agreement
   purls: []
-  size: 16769398
-  timestamp: 1716320188803
-- kind: conda
-  name: libogg
-  version: 1.3.4
-  build: h7f98852_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.4-h7f98852_1.tar.bz2
-  sha256: b88afeb30620b11bed54dac4295aa57252321446ba4e6babd7dce4b9ffde9b25
-  md5: 6e8cc2173440d77708196c5b93771680
-  depends:
-  - libgcc-ng >=9.3.0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 210550
-  timestamp: 1610382007814
-- kind: conda
-  name: libogg
-  version: 1.3.4
-  build: h8ffe710_1
-  build_number: 1
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libogg-1.3.4-h8ffe710_1.tar.bz2
-  sha256: ef20f04ad2121a07e074b34bfc211587df18180e680963f5c02c54d1951b9ee6
-  md5: 04286d905a0dcb7f7d4a12bdfe02516d
-  depends:
-  - vc >=14.1,<15.0a0
-  - vs2015_runtime >=14.16.27012
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 35187
-  timestamp: 1610382533961
+  size: 15599585
+  timestamp: 1724958549847
 - kind: conda
   name: libopenblas
   version: 0.3.27
-  build: openmp_h6c19121_0
+  build: openmp_h517c56d_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h6c19121_0.conda
-  sha256: feb2662444fc98a4842fe54cc70b1f109b2146108e7bac2b3bbad1f219cede90
-  md5: 82eba59f4eca26a9fc904d584f8761c0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.27-openmp_h517c56d_1.conda
+  sha256: 46cfcc592b5255262f567cd098be3c61da6bca6c24d640e878dc8342b0f6d069
+  md5: 71b8a34d70aa567a990162f327e81505
   depends:
+  - __osx >=11.0
   - libgfortran 5.*
   - libgfortran5 >=12.3.0
   - llvm-openmp >=16.0.6
@@ -8508,17 +8268,19 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 2925015
-  timestamp: 1712364212874
+  size: 2925328
+  timestamp: 1720425811743
 - kind: conda
   name: libopenblas
   version: 0.3.27
-  build: openmp_hfef2a42_0
+  build: openmp_h8869122_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_hfef2a42_0.conda
-  sha256: 45519189c0295296268cb7eabeeaa03ef54d780416c9a24be1d2a21db63a7848
-  md5: 00237c9c7f2cb6725fe2960680a6e225
+  url: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.27-openmp_h8869122_1.conda
+  sha256: 83b0b9d3d09889b3648a81d2c18a2d78c405b03b115107941f0496a8b358ce6d
+  md5: c0798ad76ddd730dade6ff4dff66e0b5
   depends:
+  - __osx >=10.13
   - libgfortran 5.*
   - libgfortran5 >=12.3.0
   - llvm-openmp >=16.0.6
@@ -8527,16 +8289,17 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 6047531
-  timestamp: 1712366254156
+  size: 6047513
+  timestamp: 1720426759731
 - kind: conda
   name: libopenblas
   version: 0.3.27
-  build: pthreads_h413a1c8_0
+  build: pthreads_hac2b453_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_h413a1c8_0.conda
-  sha256: 2ae7559aed0705deb3f716c7b247c74fd1b5e35b64e39834ce8b95f7564d4a3e
-  md5: a356024784da6dfd4683dc5ecf45b155
+  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda
+  sha256: 714cb82d7c4620ea2635a92d3df263ab841676c9b183d0c01992767bb2451c39
+  md5: ae05ece66d3924ac3d48b4aa3fa96cec
   depends:
   - libgcc-ng >=12
   - libgfortran-ng
@@ -8546,24 +8309,23 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 5598747
-  timestamp: 1712364444346
+  size: 5563053
+  timestamp: 1720426334043
 - kind: conda
-  name: libopus
-  version: 1.3.1
-  build: h7f98852_1
-  build_number: 1
+  name: libpciaccess
+  version: '0.18'
+  build: hd590300_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libopus-1.3.1-h7f98852_1.tar.bz2
-  sha256: 0e1c2740ebd1c93226dc5387461bbcf8142c518f2092f3ea7551f77755decc8f
-  md5: 15345e56d527b330e1cacbdf58676e8f
+  url: https://conda.anaconda.org/conda-forge/linux-64/libpciaccess-0.18-hd590300_0.conda
+  sha256: c0a30ac74eba66ea76a4f0a39acc7833f5ed783a632ca3bb6665b2d81aabd2fb
+  md5: 48f4330bfcd959c3cfb704d424903c82
   depends:
-  - libgcc-ng >=9.3.0
-  license: BSD-3-Clause
-  license_family: BSD
+  - libgcc-ng >=12
+  license: MIT
+  license_family: MIT
   purls: []
-  size: 260658
-  timestamp: 1606823578035
+  size: 28361
+  timestamp: 1707101388552
 - kind: conda
   name: libpng
   version: 1.6.43
@@ -8626,20 +8388,22 @@ packages:
   timestamp: 1708780496420
 - kind: conda
   name: libpq
-  version: '16.3'
-  build: ha72fbe1_0
+  version: '16.4'
+  build: h2d7952a_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libpq-16.3-ha72fbe1_0.conda
-  sha256: 117ba1e11f07b1ca0671641bd6d1f2e7fc6e27db1c317a0cdb4799ffa69f47db
-  md5: bac737ae28b79cfbafd515258d97d29e
+  url: https://conda.anaconda.org/conda-forge/linux-64/libpq-16.4-h2d7952a_1.conda
+  sha256: f7a425b8bc94a541f9c43120734305705ffaa3054470e49fbdea0f166fc3f371
+  md5: 7e3173fd1299939a02ebf9ec32aa77c4
   depends:
-  - krb5 >=1.21.2,<1.22.0a0
-  - libgcc-ng >=12
-  - openssl >=3.3.0,<4.0a0
+  - __glibc >=2.17,<3.0.a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libgcc >=13
+  - openssl >=3.3.1,<4.0a0
   license: PostgreSQL
   purls: []
-  size: 2500439
-  timestamp: 1715266400833
+  size: 2510669
+  timestamp: 1724948449731
 - kind: conda
   name: libprotobuf
   version: 4.25.3
@@ -8760,299 +8524,283 @@ packages:
   timestamp: 1708947106275
 - kind: conda
   name: libsanitizer
-  version: 12.3.0
-  build: hb8811af_7
-  build_number: 7
+  version: 13.3.0
+  build: heb74ff8_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-12.3.0-hb8811af_7.conda
-  sha256: 3f481da2367b5e407a954210b86a828528c0416023315a8d78e6729639c7d072
-  md5: ee573415c47ce17f65101d0b3fba396d
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsanitizer-13.3.0-heb74ff8_1.conda
+  sha256: c86d130f0a3099e46ff51aa7ffaab73cb44fc420d27a96076aab3b9a326fc137
+  md5: c4cb22f270f501f5c59a122dc2adf20a
   depends:
-  - libgcc-ng >=12.3.0
+  - libgcc >=13.3.0
+  - libstdcxx >=13.3.0
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 3939615
-  timestamp: 1715016598795
+  size: 4133922
+  timestamp: 1724801171589
 - kind: conda
-  name: libsndfile
-  version: 1.2.2
-  build: hc60ed4a_1
-  build_number: 1
+  name: libsodium
+  version: 1.0.20
+  build: h4ab18f5_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc60ed4a_1.conda
-  sha256: f709cbede3d4f3aee4e2f8d60bd9e256057f410bd60b8964cb8cf82ec1457573
-  md5: ef1910918dd895516a769ed36b5b3a4e
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.20-h4ab18f5_0.conda
+  sha256: 0105bd108f19ea8e6a78d2d994a6d4a8db16d19a41212070d2d1d48a63c34161
+  md5: a587892d3c13b6621a6091be690dbca2
   depends:
-  - lame >=3.100,<3.101.0a0
-  - libflac >=1.4.3,<1.5.0a0
   - libgcc-ng >=12
-  - libogg >=1.3.4,<1.4.0a0
-  - libopus >=1.3.1,<2.0a0
-  - libstdcxx-ng >=12
-  - libvorbis >=1.3.7,<1.4.0a0
-  - mpg123 >=1.32.1,<1.33.0a0
-  license: LGPL-2.1-or-later
-  license_family: LGPL
-  purls: []
-  size: 354372
-  timestamp: 1695747735668
-- kind: conda
-  name: libsodium
-  version: 1.0.18
-  build: h27ca646_1
-  build_number: 1
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
-  sha256: 1d95fe5e5e6a0700669aab454b2a32f97289c9ed8d1f7667c2ba98327a6f05bc
-  md5: 90859688dbca4735b74c02af14c4c793
   license: ISC
   purls: []
-  size: 324912
-  timestamp: 1605135878892
+  size: 205978
+  timestamp: 1716828628198
 - kind: conda
   name: libsodium
-  version: 1.0.18
-  build: h36c2ea0_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
-  sha256: 53da0c8b79659df7b53eebdb80783503ce72fb4b10ed6e9e05cc0e9e4207a130
-  md5: c3788462a6fbddafdb413a9f9053e58d
+  version: 1.0.20
+  build: h99b78c6_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.20-h99b78c6_0.conda
+  sha256: fade8223e1e1004367d7101dd17261003b60aa576df6d7802191f8972f7470b1
+  md5: a7ce36e284c5faaf93c220dfc39e3abd
   depends:
-  - libgcc-ng >=7.5.0
+  - __osx >=11.0
   license: ISC
   purls: []
-  size: 374999
-  timestamp: 1605135674116
+  size: 164972
+  timestamp: 1716828607917
 - kind: conda
   name: libsodium
-  version: 1.0.18
-  build: h8d14728_1
-  build_number: 1
+  version: 1.0.20
+  build: hc70643c_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2
-  sha256: ecc463f0ab6eaf6bc5bd6ff9c17f65595de6c7a38db812222ab8ffde0d3f4bc2
-  md5: 5c1fb45b5e2912c19098750ae8a32604
+  url: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.20-hc70643c_0.conda
+  sha256: 7bcb3edccea30f711b6be9601e083ecf4f435b9407d70fc48fbcf9e5d69a0fc6
+  md5: 198bb594f202b205c7d18b936fa4524f
   depends:
-  - vc >=14.1,<15.0a0
-  - vs2015_runtime >=14.16.27012
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: ISC
   purls: []
-  size: 713431
-  timestamp: 1605135918736
+  size: 202344
+  timestamp: 1716828757533
 - kind: conda
   name: libsodium
-  version: 1.0.18
-  build: hbcb3906_1
-  build_number: 1
+  version: 1.0.20
+  build: hfdf4475_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
-  sha256: 2da45f14e3d383b4b9e3a8bacc95cd2832aac2dbf9fbc70d255d384a310c5660
-  md5: 24632c09ed931af617fe6d5292919cab
+  url: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.20-hfdf4475_0.conda
+  sha256: d3975cfe60e81072666da8c76b993af018cf2e73fe55acba2b5ba0928efaccf5
+  md5: 6af4b059e26492da6013e79cbcb4d069
+  depends:
+  - __osx >=10.13
   license: ISC
   purls: []
-  size: 528765
-  timestamp: 1605135849110
+  size: 210249
+  timestamp: 1716828641383
 - kind: conda
   name: libsqlite
-  version: 3.45.3
-  build: h091b4b1_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.45.3-h091b4b1_0.conda
-  sha256: 4337f466eb55bbdc74e168b52ec8c38f598e3664244ec7a2536009036e2066cc
-  md5: c8c1186c7f3351f6ffddb97b1f54fc58
+  version: 3.46.1
+  build: h2466b09_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.46.1-h2466b09_0.conda
+  sha256: ef83f90961630bc54a95e48062b05cf9c9173a822ea01784288029613a45eea4
+  md5: 8a7c1ad01f58623bfbae8d601db7cf3b
   depends:
-  - libzlib >=1.2.13,<2.0.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: Unlicense
   purls: []
-  size: 824794
-  timestamp: 1713367748819
+  size: 876666
+  timestamp: 1725354171439
 - kind: conda
   name: libsqlite
-  version: 3.45.3
-  build: h2797004_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.45.3-h2797004_0.conda
-  sha256: e2273d6860eadcf714a759ffb6dc24a69cfd01f2a0ea9d6c20f86049b9334e0c
-  md5: b3316cbe90249da4f8e84cd66e1cc55b
+  version: 3.46.1
+  build: h4b8f8c9_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.46.1-h4b8f8c9_0.conda
+  sha256: 1d075cb823f0cad7e196871b7c57961d669cbbb6cd0e798bf50cbf520dda65fb
+  md5: 84de0078b58f899fc164303b0603ff0e
   depends:
-  - libgcc-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - __osx >=10.13
+  - libzlib >=1.3.1,<2.0a0
   license: Unlicense
   purls: []
-  size: 859858
-  timestamp: 1713367435849
+  size: 908317
+  timestamp: 1725353652135
 - kind: conda
   name: libsqlite
-  version: 3.45.3
-  build: h92b6c6a_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.45.3-h92b6c6a_0.conda
-  sha256: 4d44b68fb29dcbc2216a8cae0b274b02ef9b4ae05d1d0f785362ed30b91c9b52
-  md5: 68e462226209f35182ef66eda0f794ff
+  version: 3.46.1
+  build: hadc24fc_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda
+  sha256: 9851c049abafed3ee329d6c7c2033407e2fc269d33a75c071110ab52300002b0
+  md5: 36f79405ab16bf271edb55b213836dac
   depends:
-  - libzlib >=1.2.13,<2.0.0a0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libzlib >=1.3.1,<2.0a0
   license: Unlicense
   purls: []
-  size: 902546
-  timestamp: 1713367776445
+  size: 865214
+  timestamp: 1725353659783
 - kind: conda
   name: libsqlite
-  version: 3.45.3
-  build: hcfcfb64_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.45.3-hcfcfb64_0.conda
-  sha256: 06ec75faa51d7ec6d5db98889e869b579a9df19d7d3d9baff8359627da4a3b7e
-  md5: 73f5dc8e2d55d9a1e14b11f49c3b4a28
+  version: 3.46.1
+  build: hc14010f_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.46.1-hc14010f_0.conda
+  sha256: 3725f962f490c5d44dae326d5f5b2e3c97f71a6322d914ccc85b5ddc2e50d120
+  md5: 58050ec1724e58668d0126a1615553fa
   depends:
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - __osx >=11.0
+  - libzlib >=1.3.1,<2.0a0
   license: Unlicense
   purls: []
-  size: 870518
-  timestamp: 1713367888406
+  size: 829500
+  timestamp: 1725353720793
 - kind: conda
-  name: libstdcxx-devel_linux-64
-  version: 12.3.0
-  build: h0223996_107
-  build_number: 107
-  subdir: noarch
-  noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-12.3.0-h0223996_107.conda
-  sha256: b67931a6ad04effddaf5b18c732ac6154f0f494d5d5189e5e23fbc5a26212389
-  md5: 167a1f5d77d8f3c2a638f7eb418429f1
+  name: libstdcxx
+  version: 14.1.0
+  build: hc0a3c3a_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda
+  sha256: 44decb3d23abacf1c6dd59f3c152a7101b7ca565b4ef8872804ceaedcc53a9cd
+  md5: 9dbb9699ea467983ba8a4ba89b08b066
+  depends:
+  - libgcc 14.1.0 h77fa898_1
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 11881031
-  timestamp: 1715016519463
+  size: 3892781
+  timestamp: 1724801863728
 - kind: conda
-  name: libstdcxx-ng
-  version: 13.2.0
-  build: hc0a3c3a_7
-  build_number: 7
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-13.2.0-hc0a3c3a_7.conda
-  sha256: 35f1e08be0a84810c9075f5bd008495ac94e6c5fe306dfe4b34546f11fed850f
-  md5: 53ebd4c833fa01cb2c6353e99f905406
+  name: libstdcxx-devel_linux-64
+  version: 13.3.0
+  build: h84ea5a7_101
+  build_number: 101
+  subdir: noarch
+  noarch: generic
+  url: https://conda.anaconda.org/conda-forge/noarch/libstdcxx-devel_linux-64-13.3.0-h84ea5a7_101.conda
+  sha256: 0a9226c1b994f996229ffb54fa40d608cd4e4b48e8dc73a66134bea8ce949412
+  md5: 29b5a4ed4613fa81a07c21045e3f5bf6
+  depends:
+  - __unix
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
-  size: 3837704
-  timestamp: 1715016117360
+  size: 14074676
+  timestamp: 1724801075448
 - kind: conda
-  name: libsystemd0
-  version: '255'
-  build: h3516f8a_1
+  name: libstdcxx-ng
+  version: 14.1.0
+  build: h4852527_1
   build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-255-h3516f8a_1.conda
-  sha256: af27b0d225435d03f378a119f8eab6b280c53557a3c84cdb3bb8fd3167615aed
-  md5: 3366af27f0b593544a6cd453c7932ac5
+  url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.1.0-h4852527_1.conda
+  sha256: a2dc44f97290740cc187bfe94ce543e6eb3c2ea8964d99f189a1d8c97b419b8c
+  md5: bd2598399a70bb86d8218e95548d735e
   depends:
-  - __glibc >=2.17,<3.0.a0
-  - libcap >=2.69,<2.70.0a0
-  - libgcc-ng >=12
-  - libgcrypt >=1.10.3,<2.0a0
-  - lz4-c >=1.9.3,<1.10.0a0
-  - xz >=5.2.6,<6.0a0
-  - zstd >=1.5.5,<1.6.0a0
-  license: LGPL-2.1-or-later
+  - libstdcxx 14.1.0 hc0a3c3a_1
+  license: GPL-3.0-only WITH GCC-exception-3.1
+  license_family: GPL
   purls: []
-  size: 402592
-  timestamp: 1709568499820
+  size: 52219
+  timestamp: 1724801897766
 - kind: conda
   name: libtiff
   version: 4.6.0
-  build: h07db509_3
-  build_number: 3
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.6.0-h07db509_3.conda
-  sha256: 6df3e129682f6dc43826e5028e1807624b2a7634c4becbb50e56be9f77167f25
-  md5: 28c9f8c6dd75666dfb296aea06c49cb8
+  build: h46a8edc_4
+  build_number: 4
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h46a8edc_4.conda
+  sha256: 8d42dd7c6602187d4351fc3b69ff526f1c262bfcbfd6ce05d06008f4e0b99b58
+  md5: a7e3a62981350e232e0e7345b5aea580
   depends:
+  - __glibc >=2.17,<3.0.a0
   - lerc >=4.0.0,<5.0a0
-  - libcxx >=16
-  - libdeflate >=1.20,<1.21.0a0
+  - libdeflate >=1.21,<1.22.0a0
+  - libgcc-ng >=12
   - libjpeg-turbo >=3.0.0,<4.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libstdcxx-ng >=12
+  - libwebp-base >=1.4.0,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - xz >=5.2.6,<6.0a0
-  - zstd >=1.5.5,<1.6.0a0
+  - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 238349
-  timestamp: 1711218119201
+  size: 282236
+  timestamp: 1722871642189
 - kind: conda
   name: libtiff
   version: 4.6.0
-  build: h129831d_3
-  build_number: 3
+  build: h603087a_4
+  build_number: 4
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h129831d_3.conda
-  sha256: f9b35c5ec1aea9a2cc20e9275a0bb8f056482faa8c5a62feb243ed780755ea30
-  md5: 568593071d2e6cea7b5fc1f75bfa10ca
+  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h603087a_4.conda
+  sha256: 3b853901835167406f1c576207ec0294da4aade69c170a6e29206d454f42c259
+  md5: 362626a2aacb976ec89c91b99bfab30b
   depends:
+  - __osx >=10.13
   - lerc >=4.0.0,<5.0a0
   - libcxx >=16
-  - libdeflate >=1.20,<1.21.0a0
+  - libdeflate >=1.21,<1.22.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - xz >=5.2.6,<6.0a0
-  - zstd >=1.5.5,<1.6.0a0
+  - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 257489
-  timestamp: 1711218113053
+  size: 257905
+  timestamp: 1722871821174
 - kind: conda
   name: libtiff
   version: 4.6.0
-  build: h1dd3fc0_3
-  build_number: 3
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-h1dd3fc0_3.conda
-  sha256: fc3b210f9584a92793c07396cb93e72265ff3f1fa7ca629128bf0a50d5cb15e4
-  md5: 66f03896ffbe1a110ffda05c7a856504
+  build: hb151862_4
+  build_number: 4
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.6.0-hb151862_4.conda
+  sha256: 1d5a8972f344da2e81b5a27ac0eda977803351151b8923f16cbc056515f5b8c6
+  md5: 7d35d9aa8f051d548116039f5813c8ec
   depends:
   - lerc >=4.0.0,<5.0a0
-  - libdeflate >=1.20,<1.21.0a0
-  - libgcc-ng >=12
+  - libdeflate >=1.21,<1.22.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
-  - libstdcxx-ng >=12
-  - libwebp-base >=1.3.2,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   - xz >=5.2.6,<6.0a0
-  - zstd >=1.5.5,<1.6.0a0
+  - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 282688
-  timestamp: 1711217970425
+  size: 784657
+  timestamp: 1722871883822
 - kind: conda
   name: libtiff
   version: 4.6.0
-  build: hddb2be6_3
-  build_number: 3
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.6.0-hddb2be6_3.conda
-  sha256: 2e04844865cfe0286d70482c129f159542b325f4e45774aaff5fbe5027b30b0a
-  md5: 6d1828c9039929e2f185c5fa9d133018
+  build: hf8409c0_4
+  build_number: 4
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libtiff-4.6.0-hf8409c0_4.conda
+  sha256: a974a0ed75df11a9fa1ddfe2fa21aa7ecc70e5a92a37b86b648691810f02aac6
+  md5: 16a56d4b4ee88fdad1210bf026619cc3
   depends:
+  - __osx >=11.0
   - lerc >=4.0.0,<5.0a0
-  - libdeflate >=1.20,<1.21.0a0
+  - libcxx >=16
+  - libdeflate >=1.21,<1.22.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - libwebp-base >=1.4.0,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - xz >=5.2.6,<6.0a0
-  - zstd >=1.5.5,<1.6.0a0
+  - zstd >=1.5.6,<1.6.0a0
   license: HPND
   purls: []
-  size: 787198
-  timestamp: 1711218639912
+  size: 238731
+  timestamp: 1722871853823
 - kind: conda
   name: libuuid
   version: 2.38.1
@@ -9068,40 +8816,6 @@ packages:
   purls: []
   size: 33601
   timestamp: 1680112270483
-- kind: conda
-  name: libvorbis
-  version: 1.3.7
-  build: h0e60522_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libvorbis-1.3.7-h0e60522_0.tar.bz2
-  sha256: 6cdc018a024908270205d8512d92f92cf0adaaa5401c2b403757189b138bf56a
-  md5: e1a22282de0169c93e4ffe6ce6acc212
-  depends:
-  - libogg >=1.3.4,<1.4.0a0
-  - vc >=14.1,<15.0a0
-  - vs2015_runtime >=14.16.27012
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 273721
-  timestamp: 1610610022421
-- kind: conda
-  name: libvorbis
-  version: 1.3.7
-  build: h9c3ff4c_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2
-  sha256: 53080d72388a57b3c31ad5805c93a7328e46ff22fab7c44ad2a86d712740af33
-  md5: 309dec04b70a3cc0f1e84a4013683bc0
-  depends:
-  - libgcc-ng >=9.3.0
-  - libogg >=1.3.4,<1.4.0a0
-  - libstdcxx-ng >=9.3.0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls: []
-  size: 286280
-  timestamp: 1610609811627
 - kind: conda
   name: libwebp-base
   version: 1.4.0
@@ -9170,258 +8884,288 @@ packages:
   timestamp: 1713199854503
 - kind: conda
   name: libxcb
-  version: '1.15'
-  build: h0b41bf4_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
-  sha256: a670902f0a3173a466c058d2ac22ca1dd0df0453d3a80e0212815c20a16b0485
-  md5: 33277193f5b92bad9fdd230eb700929c
+  version: '1.16'
+  build: h00291cd_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.16-h00291cd_1.conda
+  sha256: 2cd6b74fa4b3ef9a3fe7f92271eb34346af673509aa86739e9f04bf72015f841
+  md5: c989b18131ab79fdc67e42473d53d545
   depends:
-  - libgcc-ng >=12
+  - __osx >=10.13
   - pthread-stubs
-  - xorg-libxau
+  - xorg-libxau >=1.0.11,<2.0a0
   - xorg-libxdmcp
   license: MIT
   license_family: MIT
   purls: []
-  size: 384238
-  timestamp: 1682082368177
+  size: 323886
+  timestamp: 1724419422116
 - kind: conda
   name: libxcb
-  version: '1.15'
-  build: hb7f2c08_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.15-hb7f2c08_0.conda
-  sha256: f41904f466acc8b3197f37f2dd3a08da75720c7f7464d9267635debc4ac1902b
-  md5: 5513f57e0238c87c12dffedbcc9c1a4a
+  version: '1.16'
+  build: h013a479_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.16-h013a479_1.conda
+  sha256: abae56e12a4c62730b899fdfb82628a9ac171c4ce144fc9f34ae024957a82a0e
+  md5: f0b599acdc82d5bc7e3b105833e7c5c8
   depends:
+  - m2w64-gcc-libs
+  - m2w64-gcc-libs-core
   - pthread-stubs
-  - xorg-libxau
+  - xorg-libxau >=1.0.11,<2.0a0
   - xorg-libxdmcp
   license: MIT
   license_family: MIT
   purls: []
-  size: 313793
-  timestamp: 1682083036825
+  size: 989459
+  timestamp: 1724419883091
 - kind: conda
   name: libxcb
-  version: '1.15'
-  build: hcd874cb_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.15-hcd874cb_0.conda
-  sha256: d01322c693580f53f8d07a7420cd6879289f5ddad5531b372c3efd1c37cac3bf
-  md5: 090d91b69396f14afef450c285f9758c
+  version: '1.16'
+  build: hb9d3cd8_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.16-hb9d3cd8_1.conda
+  sha256: 33aa5fc997468b07ab3020b142eacc5479e4e2c2169f467b20ab220f33dd08de
+  md5: 3601598f0db0470af28985e3e7ad0158
   depends:
-  - m2w64-gcc-libs
-  - m2w64-gcc-libs-core
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=13
   - pthread-stubs
-  - xorg-libxau
+  - xorg-libxau >=1.0.11,<2.0a0
   - xorg-libxdmcp
   license: MIT
   license_family: MIT
   purls: []
-  size: 969788
-  timestamp: 1682083087243
+  size: 395570
+  timestamp: 1724419104778
 - kind: conda
   name: libxcb
-  version: '1.15'
-  build: hf346824_0
+  version: '1.16'
+  build: hc9fafa5_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.15-hf346824_0.conda
-  sha256: 6eaa87760ff3e91bb5524189700139db46f8946ff6331f4e571e4a9356edbb0d
-  md5: 988d5f86ab60fa6de91b3ee3a88a3af9
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.16-hc9fafa5_1.conda
+  sha256: 6b38c4bceddde26d7d5bf1bec19bd302536a5e51993c2b0fc671fbb015a05643
+  md5: c40807bb9ee47958bf815406c87cbc5b
   depends:
+  - __osx >=11.0
   - pthread-stubs
-  - xorg-libxau
+  - xorg-libxau >=1.0.11,<2.0a0
   - xorg-libxdmcp
   license: MIT
   license_family: MIT
   purls: []
-  size: 334770
-  timestamp: 1682082734262
+  size: 325266
+  timestamp: 1724419525819
 - kind: conda
   name: libxkbcommon
   version: 1.7.0
-  build: h662e7e4_0
+  build: h2c5496b_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.7.0-h662e7e4_0.conda
-  sha256: 3d97d7f964237f42452295d461afdbc51e93f72e2c80be516f56de80e3bb6621
-  md5: b32c0da42b1f24a98577bb3d7fc0b995
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.7.0-h2c5496b_1.conda
+  sha256: 6804c2a7062d10de6f159f7106dc45ebccc8d42bfb925f7919e26e567fa6da6b
+  md5: e2eaefa4de2b7237af7c907b8bbc760a
   depends:
   - libgcc-ng >=12
   - libstdcxx-ng >=12
-  - libxcb >=1.15,<1.16.0a0
-  - libxml2 >=2.12.6,<3.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libxml2 >=2.12.7,<3.0a0
   - xkeyboard-config
   - xorg-libxau >=1.0.11,<2.0a0
   license: MIT/X11 Derivative
   license_family: MIT
   purls: []
-  size: 593534
-  timestamp: 1711303445595
+  size: 593336
+  timestamp: 1718819935698
 - kind: conda
   name: libxml2
   version: 2.12.7
-  build: h283a6d9_0
+  build: h0f24e4e_4
+  build_number: 4
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h283a6d9_0.conda
-  sha256: e246fefa745b56c022063ba1b69ff2965f280c6eee3de9821184e7c8f2475eab
-  md5: 1451be68a5549561979125c1827b79ed
+  url: https://conda.anaconda.org/conda-forge/win-64/libxml2-2.12.7-h0f24e4e_4.conda
+  sha256: ae78197961b09b0eef4ee194a44e4adc4555c0f2f20c348086b0cd8aaf2f7731
+  md5: ed4d301f0d2149b34deb9c4fecafd836
   depends:
   - libiconv >=1.17,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls: []
-  size: 1615693
-  timestamp: 1715606533379
+  size: 1682090
+  timestamp: 1721031296951
 - kind: conda
   name: libxml2
   version: 2.12.7
-  build: hc051c1a_1
-  build_number: 1
+  build: he7c6b58_4
+  build_number: 4
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-hc051c1a_1.conda
-  sha256: 576ea9134176636283ff052897bf7a91ffd8ac35b2c505dfde2890ec52849698
-  md5: 340278ded8b0dc3a73f3660bbb0adbc6
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-he7c6b58_4.conda
+  sha256: 10e9e0ac52b9a516a17edbc07f8d559e23778e54f1a7721b2e0e8219284fed3b
+  md5: 08a9265c637230c37cb1be4a6cad4536
   depends:
-  - icu >=73.2,<74.0a0
+  - __glibc >=2.17,<3.0.a0
+  - icu >=75.1,<76.0a0
   - libgcc-ng >=12
   - libiconv >=1.17,<2.0a0
-  - libzlib >=1.2.13,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
   - xz >=5.2.6,<6.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 704984
-  timestamp: 1717546454837
+  size: 707169
+  timestamp: 1721031016143
+- kind: conda
+  name: libxslt
+  version: 1.1.39
+  build: h3df6e99_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/libxslt-1.1.39-h3df6e99_0.conda
+  sha256: 6e3d99466d2076c35e7ac8dcdfe604da3d593f55b74a5b8e96c2b2ff63c247aa
+  md5: 279ee338c9b34871d578cb3c7aa68f70
+  depends:
+  - libxml2 >=2.12.1,<3.0.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 418542
+  timestamp: 1701629338549
+- kind: conda
+  name: libxslt
+  version: 1.1.39
+  build: h76b75d6_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxslt-1.1.39-h76b75d6_0.conda
+  sha256: 684e9b67ef7b9ca0ca993762eeb39705ec58e2e7f958555c758da7ef416db9f3
+  md5: e71f31f8cfb0a91439f2086fc8aa0461
+  depends:
+  - libgcc-ng >=12
+  - libxml2 >=2.12.1,<3.0.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 254297
+  timestamp: 1701628814990
 - kind: conda
   name: libzlib
-  version: 1.2.13
-  build: h2466b09_6
-  build_number: 6
+  version: 1.3.1
+  build: h2466b09_1
+  build_number: 1
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-h2466b09_6.conda
-  sha256: 97f47db85265b596d08c044b6533013b7286fb66259c77d04da76b74414c896e
-  md5: 9f41e3481778398837720a84dd26b7b1
+  url: https://conda.anaconda.org/conda-forge/win-64/libzlib-1.3.1-h2466b09_1.conda
+  sha256: b13846a54a15243e15f96fec06b526d8155adc6a1ac2b6ed47a88f6a71a94b68
+  md5: d4483ca8afc57ddf1f6dded53b36c17f
   depends:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   constrains:
-  - zlib 1.2.13 *_6
+  - zlib 1.3.1 *_1
   license: Zlib
   license_family: Other
   purls: []
-  size: 56119
-  timestamp: 1716874608785
+  size: 56186
+  timestamp: 1716874730539
 - kind: conda
   name: libzlib
-  version: 1.2.13
-  build: h4ab18f5_6
-  build_number: 6
+  version: 1.3.1
+  build: h4ab18f5_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h4ab18f5_6.conda
-  sha256: 8ced4afed6322172182af503f21725d072a589a6eb918f8a58135c1e00d35980
-  md5: 27329162c0dc732bcf67a4e0cd488125
+  url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-h4ab18f5_1.conda
+  sha256: adf6096f98b537a11ae3729eaa642b0811478f0ea0402ca67b5108fe2cb0010d
+  md5: 57d7dc60e9325e3de37ff8dffd18e814
   depends:
   - libgcc-ng >=12
   constrains:
-  - zlib 1.2.13 *_6
+  - zlib 1.3.1 *_1
   license: Zlib
   license_family: Other
   purls: []
-  size: 61571
-  timestamp: 1716874066944
+  size: 61574
+  timestamp: 1716874187109
 - kind: conda
   name: libzlib
-  version: 1.2.13
-  build: h87427d6_6
-  build_number: 6
+  version: 1.3.1
+  build: h87427d6_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.2.13-h87427d6_6.conda
-  sha256: 1c70fca0720685242b5c68956f310665c7ed43f04807aa4227322eee7925881c
-  md5: c0ef3c38a80c02ae1d86588c055184fc
+  url: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.3.1-h87427d6_1.conda
+  sha256: 80a62db652b1da0ccc100812a1d86e94f75028968991bfb17f9536f3aa72d91d
+  md5: b7575b5aa92108dcc9aaab0f05f2dbce
   depends:
   - __osx >=10.13
   constrains:
-  - zlib 1.2.13 *_6
+  - zlib 1.3.1 *_1
   license: Zlib
   license_family: Other
   purls: []
-  size: 57373
-  timestamp: 1716874185419
+  size: 57372
+  timestamp: 1716874211519
 - kind: conda
   name: libzlib
-  version: 1.2.13
-  build: hfb2fe0b_6
-  build_number: 6
+  version: 1.3.1
+  build: hfb2fe0b_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.13-hfb2fe0b_6.conda
-  sha256: 8b29a2386d99b8f58178951dcf19117b532cd9c4aa07623bf1667eae99755d32
-  md5: 9c4e121cd926cab631bd1c4a61d18b17
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.3.1-hfb2fe0b_1.conda
+  sha256: c34365dd37b0eab27b9693af32a1f7f284955517c2cc91f1b88a7ef4738ff03e
+  md5: 636077128927cf79fd933276dc3aed47
   depends:
   - __osx >=11.0
   constrains:
-  - zlib 1.2.13 *_6
+  - zlib 1.3.1 *_1
   license: Zlib
   license_family: Other
   purls: []
-  size: 46768
-  timestamp: 1716874151980
+  size: 46921
+  timestamp: 1716874262512
 - kind: conda
   name: llvm-openmp
-  version: 18.1.6
-  build: h15ab845_0
+  version: 18.1.8
+  build: h15ab845_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.6-h15ab845_0.conda
-  sha256: b07be564a0539adc6f6e12b921469c925b37799e50a27a9dbe276115e9de689a
-  md5: 065f974bc7afcef3f94df56394e16154
+  url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-18.1.8-h15ab845_1.conda
+  sha256: 06a245abb6e6d8d6662a35ad162eacb39f431349edf7cea9b1ff73b2da213c58
+  md5: ad0afa524866cc1c08b436865d0ae484
   depends:
   - __osx >=10.13
   constrains:
-  - openmp 18.1.6|18.1.6.*
+  - openmp 18.1.8|18.1.8.*
   license: Apache-2.0 WITH LLVM-exception
   license_family: APACHE
   purls: []
-  size: 300479
-  timestamp: 1716753668057
+  size: 300358
+  timestamp: 1723605369115
 - kind: conda
   name: llvm-openmp
-  version: 18.1.6
-  build: hde57baf_0
+  version: 18.1.8
+  build: hde57baf_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.6-hde57baf_0.conda
-  sha256: ca646e5d47040fb63bec903c3af7b5a9888d58c8cc2acb424e1dd48f9fa4532d
-  md5: f4565f7e5ce486f33705ff6bfc586688
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-18.1.8-hde57baf_1.conda
+  sha256: 7a76e2932ac77e6314bfa1c4ff83f617c8260313bfed1b8401b508ed3e9d70ba
+  md5: fe89757e3cd14bb1c6ebd68dac591363
   depends:
   - __osx >=11.0
   constrains:
-  - openmp 18.1.6|18.1.6.*
+  - openmp 18.1.8|18.1.8.*
   license: Apache-2.0 WITH LLVM-exception
   license_family: APACHE
   purls: []
-  size: 276591
-  timestamp: 1716753686325
-- kind: conda
-  name: lz4-c
-  version: 1.9.4
-  build: hcb278e6_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
-  sha256: 1b4c105a887f9b2041219d57036f72c4739ab9e9fe5a1486f094e58c76b31f5f
-  md5: 318b08df404f9c9be5712aaa5a6f0bb0
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  license: BSD-2-Clause
-  license_family: BSD
-  purls: []
-  size: 143402
-  timestamp: 1674727076728
+  size: 276263
+  timestamp: 1723605341828
 - kind: conda
   name: m2w64-gcc-libgfortran
   version: 5.3.0
@@ -9507,208 +9251,205 @@ packages:
 - kind: conda
   name: markupsafe
   version: 2.1.5
-  build: py312h41838bb_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312h41838bb_0.conda
-  sha256: 8dc8f31f78d00713300da000b6ebaa1943a17c112f267de310d5c3d82950079c
-  md5: c4a9c25c09cef3901789ca818d9beb10
+  build: py312h024a12e_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312h024a12e_1.conda
+  sha256: 0e337724d82b19510c457246c319b35944580f31b3859359e1e8b9c53a14bc52
+  md5: 66ee733dbdf8a9ca670f167bf5ea36b4
   depends:
+  - __osx >=11.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - jinja2 >=3.0.0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/markupsafe?source=conda-forge-mapping
-  size: 25742
-  timestamp: 1706900456837
+  - pkg:pypi/markupsafe?source=hash-mapping
+  size: 25840
+  timestamp: 1724959900292
 - kind: conda
   name: markupsafe
   version: 2.1.5
-  build: py312h98912ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h98912ed_0.conda
-  sha256: 273d8efd6c089c534ccbede566394c0ac1e265bfe5d89fe76e80332f3d75a636
-  md5: 6ff0b9582da2d4a74a1f9ae1f9ce2af6
+  build: py312h4389bb4_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312h4389bb4_1.conda
+  sha256: e0445364902a4c0ab45b6683a09459b574466198f4ad81919bae4cd291e75208
+  md5: 79843153b0fa98a7e63b9d9ed525596b
   depends:
-  - libgcc-ng >=12
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   constrains:
   - jinja2 >=3.0.0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/markupsafe?source=conda-forge-mapping
-  size: 26685
-  timestamp: 1706900070330
+  - pkg:pypi/markupsafe?source=hash-mapping
+  size: 29136
+  timestamp: 1724959968176
 - kind: conda
   name: markupsafe
   version: 2.1.5
-  build: py312he37b823_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.5-py312he37b823_0.conda
-  sha256: 61480b725490f68856dd14e646f51ffc34f77f2c985bd33e3b77c04b2856d97d
-  md5: ba3a8f8cf8bbdb81394275b1e1d271da
+  build: py312h66e93f0_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/markupsafe-2.1.5-py312h66e93f0_1.conda
+  sha256: 5c88cd6e19437015de16bde30dd25791aca63ac9cbb8d66b65f365ecff1b235b
+  md5: 80b79ce0d3dc127e96002dfdcec0a2a5
   depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - jinja2 >=3.0.0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/markupsafe?source=conda-forge-mapping
-  size: 26382
-  timestamp: 1706900495057
+  - pkg:pypi/markupsafe?source=hash-mapping
+  size: 26772
+  timestamp: 1724959630484
 - kind: conda
   name: markupsafe
   version: 2.1.5
-  build: py312he70551f_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.5-py312he70551f_0.conda
-  sha256: f8690a3c87e2e96cebd434a829bb95cac43afe6c439530b336dc3452fe4ce4af
-  md5: 4950a739b19edaac1ed29ca9474e49ac
+  build: py312hb553811_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/markupsafe-2.1.5-py312hb553811_1.conda
+  sha256: 2382cc541f3bbe912180861754aceb2ed180004e361a7c66ac2b1a71a7c2fba8
+  md5: 2b9fc64d656299475c648d7508e14943
   depends:
+  - __osx >=10.13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   constrains:
   - jinja2 >=3.0.0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/markupsafe?source=conda-forge-mapping
-  size: 29060
-  timestamp: 1706900374745
+  - pkg:pypi/markupsafe?source=hash-mapping
+  size: 25414
+  timestamp: 1724959688117
 - kind: conda
   name: matplotlib
-  version: 3.8.4
-  build: py312h1f38498_2
-  build_number: 2
+  version: 3.9.2
+  build: py312h1f38498_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-3.8.4-py312h1f38498_2.conda
-  sha256: 5dca57eb2aac0fc1847e9957f3f647dc1fc94c2f8c6fc320f8e78cb9712a293a
-  md5: 4a1e2726be0a5378e1fc207716dff763
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-3.9.2-py312h1f38498_0.conda
+  sha256: d5d332f2bb301eec1e43d4702f5332d8c32953ab7974e74da99a3fef94c00d86
+  md5: dddd7fd8834329a4436deea957022433
   depends:
-  - matplotlib-base >=3.8.4,<3.8.5.0a0
+  - matplotlib-base >=3.9.2,<3.9.3.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tornado >=5
   license: PSF-2.0
   license_family: PSF
-  purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 8519
-  timestamp: 1715976654609
+  purls: []
+  size: 8884
+  timestamp: 1723759792668
 - kind: conda
   name: matplotlib
-  version: 3.8.4
-  build: py312h2e8e312_2
-  build_number: 2
+  version: 3.9.2
+  build: py312h2e8e312_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.8.4-py312h2e8e312_2.conda
-  sha256: f9b0bc0f6ee4178c3fa438ab5996ed25e8ec5ba8e12983b4e521e2c4a5f2986f
-  md5: 68c7578d376386643ade755b40ed98e3
+  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.9.2-py312h2e8e312_0.conda
+  sha256: 2ad3b3e80dd897efa7c04c614399baf4f79a08ade8d8e514b0866727d9d03056
+  md5: f87a4701dbbf6dcdb559f2dc5b3b0b95
   depends:
-  - matplotlib-base >=3.8.4,<3.8.5.0a0
-  - pyqt >=5.10
+  - matplotlib-base >=3.9.2,<3.9.3.0a0
+  - pyside6 >=6.7.2
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tornado >=5
   license: PSF-2.0
   license_family: PSF
-  purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 8836
-  timestamp: 1715977035771
+  purls: []
+  size: 9152
+  timestamp: 1723760944640
 - kind: conda
   name: matplotlib
-  version: 3.8.4
-  build: py312h7900ff3_2
-  build_number: 2
+  version: 3.9.2
+  build: py312h7900ff3_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.8.4-py312h7900ff3_2.conda
-  sha256: 1aee6e72bcd0ef31212388c2f5b3fcd70227963216c2d4c2220104322be4d577
-  md5: ac26198045dff11c94202bb3e1bdc132
+  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-3.9.2-py312h7900ff3_0.conda
+  sha256: b728fe3bb3525fc2a2d37b81e5fee1c697fa6ce380da8c1dbd4378ff0a3bc299
+  md5: 44c07eccf73f549b8ea5c9aacfe3ad0a
   depends:
-  - matplotlib-base >=3.8.4,<3.8.5.0a0
-  - pyqt >=5.10
+  - matplotlib-base >=3.9.2,<3.9.3.0a0
+  - pyside6 >=6.7.2
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tornado >=5
   license: PSF-2.0
   license_family: PSF
-  purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 8390
-  timestamp: 1715976480596
+  purls: []
+  size: 8747
+  timestamp: 1723759696471
 - kind: conda
   name: matplotlib
-  version: 3.8.4
-  build: py312hb401068_2
-  build_number: 2
+  version: 3.9.2
+  build: py312hb401068_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-3.8.4-py312hb401068_2.conda
-  sha256: f4298083f645527cae48811862bfc91f975f3732a4889e0c18018fa5397fb318
-  md5: 456c057a3e2dcac3d02f4b9d25e277f5
+  url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-3.9.2-py312hb401068_0.conda
+  sha256: 1a3a285255fdb62dbd58df5426910071d47afdca8608a9f22c21dd74b8d1b308
+  md5: f468fd4f10632ff2500482118a3d4ace
   depends:
-  - matplotlib-base >=3.8.4,<3.8.5.0a0
+  - matplotlib-base >=3.9.2,<3.9.3.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tornado >=5
   license: PSF-2.0
   license_family: PSF
-  purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 8507
-  timestamp: 1715976644914
+  purls: []
+  size: 8799
+  timestamp: 1723759810727
 - kind: conda
   name: matplotlib-base
-  version: 3.8.4
-  build: py312h20ab3a6_2
-  build_number: 2
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.8.4-py312h20ab3a6_2.conda
-  sha256: a927afa9e4b5cf7889b5a82ef2286b089873f402a0d0e10e6adb4cbf820a4db9
-  md5: fbfe798f83f0d66410903ad8f40d5283
+  version: 3.9.2
+  build: py312h0d5aeb7_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.9.2-py312h0d5aeb7_0.conda
+  sha256: e84ce46cad067c84d737229f642613734c69d665dd7b6f3997aaa3586d2da41c
+  md5: 0c73a08429d20f15fa8b28083ec04cc9
   depends:
+  - __osx >=10.13
   - certifi >=2020.06.20
   - contourpy >=1.0.1
   - cycler >=0.10
   - fonttools >=4.22.0
   - freetype >=2.12.1,<3.0a0
   - kiwisolver >=1.3.1
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - libcxx >=16
   - numpy >=1.19,<3
-  - numpy >=1.21
+  - numpy >=1.23
   - packaging >=20.0
   - pillow >=8
   - pyparsing >=2.3.1
   - python >=3.12,<3.13.0a0
   - python-dateutil >=2.7
   - python_abi 3.12.* *_cp312
-  - tk >=8.6.13,<8.7.0a0
+  - qhull >=2020.2,<2020.3.0a0
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 7762905
-  timestamp: 1715976444870
+  - pkg:pypi/matplotlib?source=hash-mapping
+  size: 7905104
+  timestamp: 1723759753087
 - kind: conda
   name: matplotlib-base
-  version: 3.8.4
-  build: py312h4479663_2
-  build_number: 2
+  version: 3.9.2
+  build: py312h32d6e5a_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.8.4-py312h4479663_2.conda
-  sha256: 8cfd26be70088f5326aaab101bd6ff37bb21ba3b13cc81c987628484cb7128cf
-  md5: e4c7e00cc31a921bb2541c10c3c58a8c
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.9.2-py312h32d6e5a_0.conda
+  sha256: 508798a3d84d6cb2d17f8025ff3be5949351b3ab680e7a5acebc1166abb2d157
+  md5: 2649a9158eb3183c8de0116b9fd6aada
   depends:
   - __osx >=11.0
   - certifi >=2020.06.20
@@ -9719,7 +9460,7 @@ packages:
   - kiwisolver >=1.3.1
   - libcxx >=16
   - numpy >=1.19,<3
-  - numpy >=1.21
+  - numpy >=1.23
   - packaging >=20.0
   - pillow >=8
   - pyparsing >=2.3.1
@@ -9727,53 +9468,55 @@ packages:
   - python >=3.12,<3.13.0a0 *_cpython
   - python-dateutil >=2.7
   - python_abi 3.12.* *_cp312
+  - qhull >=2020.2,<2020.3.0a0
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 7595371
-  timestamp: 1715976603558
+  - pkg:pypi/matplotlib?source=hash-mapping
+  size: 7864592
+  timestamp: 1723759750829
 - kind: conda
   name: matplotlib-base
-  version: 3.8.4
-  build: py312hb6d62fa_2
-  build_number: 2
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.8.4-py312hb6d62fa_2.conda
-  sha256: 98a4ab9355a473a291c826d7536c0e864adc06d9e846507d100a74a1d690ddce
-  md5: 6c5cf505d118f4b58961191fd5e0d030
+  version: 3.9.2
+  build: py312h854627b_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.9.2-py312h854627b_0.conda
+  sha256: ae075b97ce43439a7a914bf478564927a3dfe00724fb69555947cc3bae737a11
+  md5: a57b0ae7c0aac603839a4e83a3e997d6
   depends:
-  - __osx >=10.13
+  - __glibc >=2.17,<3.0.a0
   - certifi >=2020.06.20
   - contourpy >=1.0.1
   - cycler >=0.10
   - fonttools >=4.22.0
   - freetype >=2.12.1,<3.0a0
   - kiwisolver >=1.3.1
-  - libcxx >=16
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
   - numpy >=1.19,<3
-  - numpy >=1.21
+  - numpy >=1.23
   - packaging >=20.0
   - pillow >=8
   - pyparsing >=2.3.1
   - python >=3.12,<3.13.0a0
   - python-dateutil >=2.7
   - python_abi 3.12.* *_cp312
+  - qhull >=2020.2,<2020.3.0a0
+  - tk >=8.6.13,<8.7.0a0
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 7775938
-  timestamp: 1715976578635
+  - pkg:pypi/matplotlib?source=hash-mapping
+  size: 7904910
+  timestamp: 1723759675614
 - kind: conda
   name: matplotlib-base
-  version: 3.8.4
-  build: py312hfee7060_2
-  build_number: 2
+  version: 3.9.2
+  build: py312h90004f6_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.8.4-py312hfee7060_2.conda
-  sha256: 023644d13bf1fab7c58f4df0d461cd237874802b0e7370ad049463d39d2fb2f4
-  md5: 6b623fa66ac3cd1601da60160c46514b
+  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.9.2-py312h90004f6_0.conda
+  sha256: 50db6571737853422b164f2de6afb60d202043c078c8e52939396e5ea65a494f
+  md5: f1422f097083503f11d336f155748b73
   depends:
   - certifi >=2020.06.20
   - contourpy >=1.0.1
@@ -9782,22 +9525,23 @@ packages:
   - freetype >=2.12.1,<3.0a0
   - kiwisolver >=1.3.1
   - numpy >=1.19,<3
-  - numpy >=1.21
+  - numpy >=1.23
   - packaging >=20.0
   - pillow >=8
   - pyparsing >=2.3.1
   - python >=3.12,<3.13.0a0
   - python-dateutil >=2.7
   - python_abi 3.12.* *_cp312
+  - qhull >=2020.2,<2020.3.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/matplotlib?source=conda-forge-mapping
-  size: 7807157
-  timestamp: 1715976971476
+  - pkg:pypi/matplotlib?source=hash-mapping
+  size: 7747918
+  timestamp: 1723760858160
 - kind: conda
   name: matplotlib-inline
   version: 0.1.7
@@ -9813,7 +9557,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/matplotlib-inline?source=conda-forge-mapping
+  - pkg:pypi/matplotlib-inline?source=hash-mapping
   size: 14599
   timestamp: 1713250613726
 - kind: conda
@@ -9831,7 +9575,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/memory-profiler?source=conda-forge-mapping
+  - pkg:pypi/memory-profiler?source=hash-mapping
   size: 32666
   timestamp: 1668586136439
 - kind: conda
@@ -9848,26 +9592,26 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/mistune?source=conda-forge-mapping
+  - pkg:pypi/mistune?source=hash-mapping
   size: 66022
   timestamp: 1698947249750
 - kind: conda
   name: mkl
   version: 2024.1.0
-  build: h66d3029_692
-  build_number: 692
+  build: h66d3029_694
+  build_number: 694
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_692.conda
-  sha256: abfdb5eb3a17af59a827ea49fcb4d2bf18e70b62498bf3720351962e636cb5b7
-  md5: b43ec7ed045323edeff31e348eea8652
+  url: https://conda.anaconda.org/conda-forge/win-64/mkl-2024.1.0-h66d3029_694.conda
+  sha256: 4f86e9ad74a7792c836cd4cb7fc415bcdb50718ffbaa90c5571297f71764b980
+  md5: a17423859d3fb912c8f2e9797603ddb6
   depends:
   - intel-openmp 2024.*
   - tbb 2021.*
-  license: LicenseRef-ProprietaryIntel
+  license: LicenseRef-IntelSimplifiedSoftwareOct2022
   license_family: Proprietary
   purls: []
-  size: 109491063
-  timestamp: 1712153746272
+  size: 109381621
+  timestamp: 1716561374449
 - kind: pypi
   name: ml-dtypes
   version: 0.4.0
@@ -9875,9 +9619,9 @@ packages:
   sha256: 3b67ec73a697c88c1122038e0de46520e48dc2ec876d42cf61bc5efe3c0b7675
   requires_dist:
   - numpy>1.20
-  - numpy>=1.21.2 ; python_version >= '3.10'
-  - numpy>=1.23.3 ; python_version >= '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
+  - numpy>=1.21.2 ; python_full_version >= '3.10'
+  - numpy>=1.23.3 ; python_full_version >= '3.11'
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
   - absl-py ; extra == 'dev'
   - pytest ; extra == 'dev'
   - pytest-xdist ; extra == 'dev'
@@ -9887,153 +9631,65 @@ packages:
 - kind: conda
   name: ml_dtypes
   version: 0.4.0
-  build: py312h1171441_1
-  build_number: 1
+  build: py312h98e817e_2
+  build_number: 2
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h1171441_1.conda
-  sha256: cbecda8ae9b19e2df87e052f2f9e40dc65b5865b23046e4ab785da7316044142
-  md5: 400d9570f24f81b0c0bd1032c5f80e06
+  url: https://conda.anaconda.org/conda-forge/osx-64/ml_dtypes-0.4.0-py312h98e817e_2.conda
+  sha256: d84d8801663c4bdcd66177362735c304ed9470fd276d166401be5db2ce9f5e35
+  md5: 8d5261586fc38c8bb4cac7aea898251a
   depends:
   - __osx >=10.13
-  - libcxx >=16
-  - numpy >=1.19,<3
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: MPL-2.0 AND Apache-2.0
-  purls:
-  - pkg:pypi/ml-dtypes?source=conda-forge-mapping
-  size: 137916
-  timestamp: 1715895777831
-- kind: conda
-  name: ml_dtypes
-  version: 0.4.0
-  build: py312h1d6d2e6_1
-  build_number: 1
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312h1d6d2e6_1.conda
-  sha256: 7a27970a62c65eba0da9aa20c08bee3593ca0d0473e42c674fa0b96fa5d1da72
-  md5: ff893cf9cee50a89122e5b765e8a1c37
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
+  - libcxx >=17
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MPL-2.0 AND Apache-2.0
   purls:
-  - pkg:pypi/ml-dtypes?source=conda-forge-mapping
-  size: 171303
-  timestamp: 1715895755176
+  - pkg:pypi/ml-dtypes?source=hash-mapping
+  size: 136193
+  timestamp: 1725475212538
 - kind: conda
   name: ml_dtypes
   version: 0.4.0
-  build: py312h8ae5369_1
-  build_number: 1
+  build: py312hcd31e36_2
+  build_number: 2
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312h8ae5369_1.conda
-  sha256: c5d756db9e623e206688c6c136c493fb2a6fa93378d224d1b5a32e4f798680b9
-  md5: bd454762e99a22f7730f2ffd8f249210
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ml_dtypes-0.4.0-py312hcd31e36_2.conda
+  sha256: 3931aef8f1e04f2fd9cff55a0c8dd76f818a3eb4fad5ef6cfd83649d14a663e4
+  md5: 70b338acc912c1989a36ed8511f884a7
   depends:
   - __osx >=11.0
-  - libcxx >=16
+  - libcxx >=17
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: MPL-2.0 AND Apache-2.0
   purls:
-  - pkg:pypi/ml-dtypes?source=conda-forge-mapping
-  size: 126313
-  timestamp: 1715896039953
-- kind: conda
-  name: mpg123
-  version: 1.32.6
-  build: h59595ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.6-h59595ed_0.conda
-  sha256: 8895a5ce5122a3b8f59afcba4b032f198e8a690a0efc95ef61f2135357ef0d72
-  md5: 9160cdeb523a1b20cf8d2a0bf821f45d
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  license: LGPL-2.1-only
-  license_family: LGPL
-  purls: []
-  size: 491811
-  timestamp: 1712327176955
-- kind: conda
-  name: msgspec
-  version: 0.18.6
-  build: py312h41838bb_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/msgspec-0.18.6-py312h41838bb_0.conda
-  sha256: 9129fc243000d8c4b08d52552ea9293074ee643c221ac080aaf36af5c095fc55
-  md5: dde3a27d228aff205b06b7d8a0f30b82
-  depends:
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/msgspec?source=conda-forge-mapping
-  size: 196906
-  timestamp: 1705901998503
+  - pkg:pypi/ml-dtypes?source=hash-mapping
+  size: 123771
+  timestamp: 1725475270272
 - kind: conda
-  name: msgspec
-  version: 0.18.6
-  build: py312h98912ed_0
+  name: ml_dtypes
+  version: 0.4.0
+  build: py312hf9745cd_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/msgspec-0.18.6-py312h98912ed_0.conda
-  sha256: f3e045a58589f695b25738fa9c352adcf2249063a38a7e02fb0250282398611d
-  md5: 5b9e418d277dd7424e0a4368987e8983
-  depends:
-  - libgcc-ng >=12
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/msgspec?source=conda-forge-mapping
-  size: 211758
-  timestamp: 1705901842947
-- kind: conda
-  name: msgspec
-  version: 0.18.6
-  build: py312he37b823_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/msgspec-0.18.6-py312he37b823_0.conda
-  sha256: fca5a63be5de4c7948c8bd64ed2d6ea0ab0bb5b74a994b40dd79ec45ba752f03
-  md5: 6803d5a139530ba2fdd4800ded5f2c83
-  depends:
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/msgspec?source=conda-forge-mapping
-  size: 189525
-  timestamp: 1705902125472
-- kind: conda
-  name: msgspec
-  version: 0.18.6
-  build: py312he70551f_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/msgspec-0.18.6-py312he70551f_0.conda
-  sha256: 639635da5135dc4515f7b842ee584bf1c212bf64a63b579d36e2da7ae37ba70e
-  md5: 518799e3f7d06d9ecb0e39a52c983ed2
+  url: https://conda.anaconda.org/conda-forge/linux-64/ml_dtypes-0.4.0-py312hf9745cd_2.conda
+  sha256: 0dd6a676396af5f30bbf0b872bfea2716a11585731385d0e145b55fa2958336e
+  md5: c070bbf2a3c9e2e6d2c64b219e2e78da
   depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: BSD-3-Clause
-  license_family: BSD
+  license: MPL-2.0 AND Apache-2.0
   purls:
-  - pkg:pypi/msgspec?source=conda-forge-mapping
-  size: 195057
-  timestamp: 1705902299019
+  - pkg:pypi/ml-dtypes?source=hash-mapping
+  size: 167320
+  timestamp: 1725475244129
 - kind: conda
   name: msys2-conda-epoch
   version: '20160418'
@@ -10060,64 +9716,65 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/munkres?source=conda-forge-mapping
+  - pkg:pypi/munkres?source=hash-mapping
   size: 12452
   timestamp: 1600387789153
 - kind: conda
   name: mypy
-  version: 1.10.0
-  build: py312h4389bb4_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/mypy-1.10.0-py312h4389bb4_0.conda
-  sha256: ebcbd3487698e9e4356dbf7a94eb3bb582c5421098862bc6d9fd8887a6949fb7
-  md5: 31efeca32ad254e43198a0ce37156ce6
+  version: 1.11.2
+  build: py312h024a12e_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/mypy-1.11.2-py312h024a12e_0.conda
+  sha256: 89303b3e26ff876d40c1c33c96ac3a22023c8244fe48b21f87b264ab35ca5d55
+  md5: e5542c2a7d1f50810ff1b160e5b67e30
   depends:
+  - __osx >=11.0
   - mypy_extensions >=1.0.0
   - psutil >=4.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - typing_extensions >=4.1.0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy?source=conda-forge-mapping
-  size: 8388614
-  timestamp: 1714002079609
+  - pkg:pypi/mypy?source=hash-mapping
+  size: 9815300
+  timestamp: 1724602077332
 - kind: conda
   name: mypy
-  version: 1.10.0
-  build: py312h4a164c9_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/mypy-1.10.0-py312h4a164c9_0.conda
-  sha256: 3d6f618f8c366ff766686a36467c81068f2583696a23f63366641a50f2133082
-  md5: 35bf371fb16eed1be04831c597f91870
+  version: 1.11.2
+  build: py312h4389bb4_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/mypy-1.11.2-py312h4389bb4_0.conda
+  sha256: 31d0292518c3c3090af632bc06ffa5f331fa6969ad9ae219e6505a6b2219d0af
+  md5: dd2e469b2e2f8a1cc4ae749a7ed44b7f
   depends:
-  - __osx >=11.0
   - mypy_extensions >=1.0.0
   - psutil >=4.0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - typing_extensions >=4.1.0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy?source=conda-forge-mapping
-  size: 9636672
-  timestamp: 1714003119958
+  - pkg:pypi/mypy?source=hash-mapping
+  size: 8560830
+  timestamp: 1724602058839
 - kind: conda
   name: mypy
-  version: 1.10.0
-  build: py312h5fa3f64_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/mypy-1.10.0-py312h5fa3f64_0.conda
-  sha256: e8a0e4be2df67f3e784839baa9df1b6c5a30077305586d3584c847c21a5a4f03
-  md5: cfd2bcbfa59fc80f372fdb13b51dd3a2
+  version: 1.11.2
+  build: py312h66e93f0_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.11.2-py312h66e93f0_0.conda
+  sha256: aadb78145f51b5488806c86e5954cc3cb19b03f2297a464b2a2f27c0340332a8
+  md5: ea315027e648236653f27d3d1ae893f6
   depends:
-  - __osx >=10.9
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=13
   - mypy_extensions >=1.0.0
   - psutil >=4.0
   - python >=3.12,<3.13.0a0
@@ -10126,19 +9783,19 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy?source=conda-forge-mapping
-  size: 10339160
-  timestamp: 1714002937960
+  - pkg:pypi/mypy?source=hash-mapping
+  size: 17066588
+  timestamp: 1724602213195
 - kind: conda
   name: mypy
-  version: 1.10.0
-  build: py312h9a8786e_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/mypy-1.10.0-py312h9a8786e_0.conda
-  sha256: 202a1223ab7b6d78a553a8a6768a0088166f482e48b736afd2c6a6d65f466b99
-  md5: 644f1c538810d1f250ef0fc844f3822d
+  version: 1.11.2
+  build: py312hb553811_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/mypy-1.11.2-py312hb553811_0.conda
+  sha256: 99eced54663f6cf2b8b924f36bc2fc0317075d8bd3c38c47fff55e463687fb04
+  md5: 4e22f7fed8b0572fa5d1b12e7a39a570
   depends:
-  - libgcc-ng >=12
+  - __osx >=10.13
   - mypy_extensions >=1.0.0
   - psutil >=4.0
   - python >=3.12,<3.13.0a0
@@ -10147,9 +9804,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy?source=conda-forge-mapping
-  size: 16580238
-  timestamp: 1714002375040
+  - pkg:pypi/mypy?source=hash-mapping
+  size: 10502065
+  timestamp: 1724601972090
 - kind: conda
   name: mypy_extensions
   version: 1.0.0
@@ -10164,48 +9821,48 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/mypy-extensions?source=conda-forge-mapping
+  - pkg:pypi/mypy-extensions?source=hash-mapping
   size: 10492
   timestamp: 1675543414256
 - kind: conda
   name: mysql-common
-  version: 8.3.0
-  build: hf1915f5_4
-  build_number: 4
+  version: 9.0.1
+  build: h70512c7_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.3.0-hf1915f5_4.conda
-  sha256: 4cf6d29e091398735348550cb74cfd5006e04892d54b6b1ba916935f1af1a151
-  md5: 784a4df6676c581ca624fbe460703a6d
+  url: https://conda.anaconda.org/conda-forge/linux-64/mysql-common-9.0.1-h70512c7_0.conda
+  sha256: 4417ba9daf1f818e62e399dc9ab33fcd12741d79d19db0884394cc9c766ae78d
+  md5: c567b6fa201bc424e84f1e70f7a36095
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libgcc-ng >=12
   - libstdcxx-ng >=12
-  - openssl >=3.2.1,<4.0a0
+  - openssl >=3.3.1,<4.0a0
   license: GPL-2.0-or-later
   license_family: GPL
   purls: []
-  size: 784844
-  timestamp: 1709910607121
+  size: 612947
+  timestamp: 1723209940114
 - kind: conda
   name: mysql-libs
-  version: 8.3.0
-  build: hca2cd23_4
-  build_number: 4
+  version: 9.0.1
+  build: ha479ceb_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.3.0-hca2cd23_4.conda
-  sha256: c39cdd1a5829aeffc611f789bdfd4dbd4ce1aa829c73d728defec180b5265d91
-  md5: 1b50eebe2a738a3146c154d2eceaa8b6
+  url: https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.0.1-ha479ceb_0.conda
+  sha256: f4bea852a48a2168d2bdb73c9be6e3d0ba30525a7e4f0472e899a0773206a8a9
+  md5: 6fd406aef37faad86bd7f37a94fb6f8a
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libgcc-ng >=12
   - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
-  - mysql-common 8.3.0 hf1915f5_4
-  - openssl >=3.2.1,<4.0a0
-  - zstd >=1.5.5,<1.6.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - mysql-common 9.0.1 h70512c7_0
+  - openssl >=3.3.1,<4.0a0
+  - zstd >=1.5.6,<1.6.0a0
   license: GPL-2.0-or-later
   license_family: GPL
   purls: []
-  size: 1537884
-  timestamp: 1709910705541
+  size: 1368619
+  timestamp: 1723210027997
 - kind: conda
   name: nbclient
   version: 0.10.0
@@ -10224,18 +9881,19 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/nbclient?source=conda-forge-mapping
+  - pkg:pypi/nbclient?source=hash-mapping
   size: 27851
   timestamp: 1710317767117
 - kind: conda
   name: nbconvert-core
   version: 7.16.4
-  build: pyhd8ed1ab_0
+  build: pyhd8ed1ab_1
+  build_number: 1
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_0.conda
-  sha256: aa5bf61e42c63cec2b2c33e66cd0bb064846d62dd60f6ac62ae0d2bf17583900
-  md5: 43d9cd74e3950ab09cbddf36f1706b9f
+  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.4-pyhd8ed1ab_1.conda
+  sha256: 074d858c5808e0a832acc0da37cd70de1565e8d6e17a62d5a11b3902b5e78319
+  md5: e2d2abb421c13456a9a9f80272fdf543
   depends:
   - beautifulsoup4
   - bleach
@@ -10255,14 +9913,14 @@ packages:
   - tinycss2
   - traitlets >=5.0
   constrains:
+  - nbconvert =7.16.4=*_1
   - pandoc >=2.9.2,<4.0.0
-  - nbconvert =7.16.4=*_0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/nbconvert?source=conda-forge-mapping
-  size: 189004
-  timestamp: 1714477286178
+  - pkg:pypi/nbconvert?source=hash-mapping
+  size: 189599
+  timestamp: 1718135529468
 - kind: conda
   name: nbformat
   version: 5.10.4
@@ -10281,64 +9939,75 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/nbformat?source=conda-forge-mapping
+  - pkg:pypi/nbformat?source=hash-mapping
   size: 101232
   timestamp: 1712239122969
 - kind: conda
   name: nccl
-  version: 2.21.5.1
-  build: h3a97aeb_0
+  version: 2.22.3.1
+  build: hbc370b7_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.21.5.1-h3a97aeb_0.conda
-  sha256: 93181df3252e824eb78d0e2a6f3062e2d07af3a1bb5554732b91f1e679844cf2
-  md5: 9e7c6be8aa5c0a5b38e4dc2be393f3c5
+  url: https://conda.anaconda.org/conda-forge/linux-64/nccl-2.22.3.1-hbc370b7_1.conda
+  sha256: 3a9656272cbe6f74973be4c5a610a731c2be0baaa7769544be996e147c3de36b
+  md5: 94e562f042ae010fc77326d28079c48c
   depends:
+  - __glibc >=2.17,<3.0.a0
   - cuda-version >=12.0,<13
+  - cuda-version >=12.0,<13.0a0
   - libgcc-ng >=12
   - libstdcxx-ng >=12
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 111759250
-  timestamp: 1712266235271
+  size: 112458432
+  timestamp: 1722290310919
 - kind: conda
   name: ncurses
   version: '6.5'
-  build: h5846eda_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-h5846eda_0.conda
-  sha256: 6ecc73db0e49143092c0934355ac41583a5d5a48c6914c5f6ca48e562d3a4b79
-  md5: 02a888433d165c99bf09784a7b14d900
+  build: h7bae524_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-h7bae524_1.conda
+  sha256: 27d0b9ff78ad46e1f3a6c96c479ab44beda5f96def88e2fe626e0a49429d8afc
+  md5: cb2b0ea909b97b3d70cd3921d1445e1a
+  depends:
+  - __osx >=11.0
   license: X11 AND BSD-3-Clause
   purls: []
-  size: 823601
-  timestamp: 1715195267791
+  size: 802321
+  timestamp: 1724658775723
 - kind: conda
   name: ncurses
   version: '6.5'
-  build: h59595ed_0
+  build: he02047a_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h59595ed_0.conda
-  sha256: 4fc3b384f4072b68853a0013ea83bdfd3d66b0126e2238e1d6e1560747aa7586
-  md5: fcea371545eda051b6deafb24889fc69
+  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
+  sha256: 6a1d5d8634c1a07913f1c525db6455918cbc589d745fac46d9d6e30340c8731a
+  md5: 70caf8bb6cf39a0b6b7efc885f51c0fe
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libgcc-ng >=12
   license: X11 AND BSD-3-Clause
   purls: []
-  size: 887465
-  timestamp: 1715194722503
+  size: 889086
+  timestamp: 1724658547447
 - kind: conda
   name: ncurses
   version: '6.5'
-  build: hb89a1cb_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.5-hb89a1cb_0.conda
-  sha256: 87d7cf716d9d930dab682cb57b3b8d3a61940b47d6703f3529a155c938a6990a
-  md5: b13ad5724ac9ae98b6b4fd87e4500ba4
+  build: hf036a51_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.5-hf036a51_1.conda
+  sha256: b0b3180039ef19502525a2abd5833c00f9624af830fd391f851934d57bffb9af
+  md5: e102bbf8a6ceeaf429deab8032fc8977
+  depends:
+  - __osx >=10.13
   license: X11 AND BSD-3-Clause
   purls: []
-  size: 795131
-  timestamp: 1715194898402
+  size: 822066
+  timestamp: 1724658603042
 - kind: conda
   name: nest-asyncio
   version: 1.6.0
@@ -10353,7 +10022,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/nest-asyncio?source=conda-forge-mapping
+  - pkg:pypi/nest-asyncio?source=hash-mapping
   size: 11638
   timestamp: 1705850780510
 - kind: pypi
@@ -10386,22 +10055,22 @@ packages:
   requires_python: '>=3.10'
 - kind: conda
   name: nodeenv
-  version: 1.8.0
+  version: 1.9.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.8.0-pyhd8ed1ab_0.conda
-  sha256: 1320306234552717149f36f825ddc7e27ea295f24829e9db4cc6ceaff0b032bd
-  md5: 2a75b296096adabbabadd5e9782e5fcc
+  url: https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_0.conda
+  sha256: 85ee07342ab055dc081f3de8292c5e7195e43e046db9c5750f242f928f6bb8f2
+  md5: dfe0528d0f1c16c1f7c528ea5536ab30
   depends:
   - python 2.7|>=3.7
   - setuptools
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/nodeenv?source=conda-forge-mapping
-  size: 34358
-  timestamp: 1683893151613
+  - pkg:pypi/nodeenv?source=hash-mapping
+  size: 34489
+  timestamp: 1717585382642
 - kind: conda
   name: notebook-shim
   version: 0.2.4
@@ -10411,137 +10080,104 @@ packages:
   url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.4-pyhd8ed1ab_0.conda
   sha256: 9b5fdef9ebe89222baa9da2796ebe7bc02ec6c5a1f61327b651d6b92cf9a0230
   md5: 3d85618e2c97ab896b5b5e298d32b5b3
-  depends:
-  - jupyter_server >=1.8,<3
-  - python >=3.7
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/notebook-shim?source=conda-forge-mapping
-  size: 16880
-  timestamp: 1707957948029
-- kind: conda
-  name: nspr
-  version: '4.35'
-  build: h27087fc_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda
-  sha256: 8fadeebb2b7369a4f3b2c039a980d419f65c7b18267ba0c62588f9f894396d0c
-  md5: da0ec11a6454ae19bff5b02ed881a2b1
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  license: MPL-2.0
-  license_family: MOZILLA
-  purls: []
-  size: 226848
-  timestamp: 1669784948267
-- kind: conda
-  name: nss
-  version: '3.100'
-  build: hca3bf56_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.100-hca3bf56_0.conda
-  sha256: a4146d2b6636999a21afcaf957029d066637bf26239fd3170242501e38fb1fa4
-  md5: 949c4a82290ee58b3c970cef4bcfd4ad
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc-ng >=12
-  - libsqlite >=3.45.3,<4.0a0
-  - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
-  - nspr >=4.35,<5.0a0
-  license: MPL-2.0
-  license_family: MOZILLA
-  purls: []
-  size: 2047723
-  timestamp: 1715184444840
+  depends:
+  - jupyter_server >=1.8,<3
+  - python >=3.7
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/notebook-shim?source=hash-mapping
+  size: 16880
+  timestamp: 1707957948029
 - kind: conda
   name: numpy
-  version: 1.26.4
-  build: py312h8442bc7_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
-  sha256: c8841d6d6f61fd70ca80682efbab6bdb8606dc77c68d8acabfbd7c222054f518
-  md5: d83fc83d589e2625a3451c9a7e21047c
+  version: 2.1.1
+  build: py312h49bc9c5_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/numpy-2.1.1-py312h49bc9c5_0.conda
+  sha256: de046afaa8eee584d093917adca5d57e932f7c62832adb88987e0d221421891d
+  md5: d4af528569c6d98497e0d282680a8b43
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
-  - libcxx >=16
   - liblapack >=3.9.0,<4.0a0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/numpy?source=conda-forge-mapping
-  size: 6073136
-  timestamp: 1707226249608
+  - pkg:pypi/numpy?source=hash-mapping
+  size: 7023884
+  timestamp: 1725412931518
 - kind: conda
   name: numpy
-  version: 1.26.4
-  build: py312h8753938_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/numpy-1.26.4-py312h8753938_0.conda
-  sha256: 73570817a5109d396b4ebbe5124a89525959269fd33fa33fd413700289fbe0ef
-  md5: f9ac74c3b07c396014434aca1e58d362
+  version: 2.1.1
+  build: py312h58c1407_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.1-py312h58c1407_0.conda
+  sha256: 5d7d73f46d929dba57d96e6ef68506a490c89a2599514575c3e33b031e62b244
+  md5: 839596d1c1c41f6fc01042e12cb7500c
   depends:
+  - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
+  - libgcc >=13
   - liblapack >=3.9.0,<4.0a0
+  - libstdcxx >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/numpy?source=conda-forge-mapping
-  size: 6495445
-  timestamp: 1707226412944
+  - pkg:pypi/numpy?source=hash-mapping
+  size: 8457863
+  timestamp: 1725412270045
 - kind: conda
   name: numpy
-  version: 1.26.4
-  build: py312he3a82b2_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
-  sha256: 6152b73fba3e227afa4952df8753128fc9669bbaf142ee8f9972bf9df3bf8856
-  md5: 96c61a21c4276613748dba069554846b
+  version: 2.1.1
+  build: py312h801f5e3_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.1.1-py312h801f5e3_0.conda
+  sha256: 96cd8d3c9c42d4d6d32b69d4ca11a79a7c6c0a5966089bf75fb29247320b8593
+  md5: e42439edb298e477ca6d2643156cb9c4
   depends:
+  - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
-  - libcxx >=16
+  - libcxx >=17
   - liblapack >=3.9.0,<4.0a0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/numpy?source=conda-forge-mapping
-  size: 6990646
-  timestamp: 1707226178262
+  - pkg:pypi/numpy?source=hash-mapping
+  size: 6445118
+  timestamp: 1725412326580
 - kind: conda
   name: numpy
-  version: 1.26.4
-  build: py312heda63a1_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
-  sha256: fe3459c75cf84dcef6ef14efcc4adb0ade66038ddd27cadb894f34f4797687d8
-  md5: d8285bea2a350f63fab23bf460221f3f
+  version: 2.1.1
+  build: py312he4d506f_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.1.1-py312he4d506f_0.conda
+  sha256: 3b0d99c992f5662fd2631f43144465ff2ae1cd46a2a68c0622064ceb2d8362b8
+  md5: 3592cb7c367e5f64a5bc3fd1166ff4d4
   depends:
+  - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
-  - libgcc-ng >=12
+  - libcxx >=17
   - liblapack >=3.9.0,<4.0a0
-  - libstdcxx-ng >=12
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   constrains:
@@ -10549,9 +10185,9 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/numpy?source=conda-forge-mapping
-  size: 7484186
-  timestamp: 1707225809722
+  - pkg:pypi/numpy?source=hash-mapping
+  size: 7566337
+  timestamp: 1725412211245
 - kind: conda
   name: openjpeg
   version: 2.5.2
@@ -10629,82 +10265,71 @@ packages:
   timestamp: 1709159627299
 - kind: conda
   name: openssl
-  version: 3.3.0
-  build: h2466b09_3
-  build_number: 3
+  version: 3.3.2
+  build: h2466b09_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.0-h2466b09_3.conda
-  sha256: 11b2513fceb20102bdc7f7656a59005acb9ecd0886b7cbfb9c13c2c953f2429b
-  md5: d7fec5d3bb8fc0c8e266bf1ad350cec5
+  url: https://conda.anaconda.org/conda-forge/win-64/openssl-3.3.2-h2466b09_0.conda
+  sha256: a45c42f3577294e22ac39ddb6ef5a64fd5322e8a6725afefbf4f2b4109340bf9
+  md5: 1dc86753693df5e3326bb8a85b74c589
   depends:
   - ca-certificates
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
-  constrains:
-  - pyopenssl >=22.1
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 8368468
-  timestamp: 1716471282135
+  size: 8396053
+  timestamp: 1725412961673
 - kind: conda
   name: openssl
-  version: 3.3.0
-  build: h4ab18f5_3
-  build_number: 3
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda
-  sha256: 33dcea0ed3a61b2de6b66661cdd55278640eb99d676cd129fbff3e53641fa125
-  md5: 12ea6d0d4ed54530eaed18e4835c1f7c
+  version: 3.3.2
+  build: h8359307_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.2-h8359307_0.conda
+  sha256: 940fa01c4dc6152158fe8943e05e55a1544cab639df0994e3b35937839e4f4d1
+  md5: 1773ebccdc13ec603356e8ff1db9e958
   depends:
+  - __osx >=11.0
   - ca-certificates
-  - libgcc-ng >=12
-  constrains:
-  - pyopenssl >=22.1
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 2891147
-  timestamp: 1716468354865
+  size: 2882450
+  timestamp: 1725410638874
 - kind: conda
   name: openssl
-  version: 3.3.0
-  build: h87427d6_3
-  build_number: 3
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.0-h87427d6_3.conda
-  sha256: 58ffbdce44ac18c6632a2ce1531d06e3fb2e855d40728ba3a2b709158b9a1c33
-  md5: ec504fefb403644d893adffb6e7a2dbe
+  version: 3.3.2
+  build: hb9d3cd8_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda
+  sha256: cee91036686419f6dd6086902acf7142b4916e1c4ba042e9ca23e151da012b6d
+  md5: 4d638782050ab6faa27275bed57e9b4e
   depends:
-  - __osx >=10.13
+  - __glibc >=2.17,<3.0.a0
   - ca-certificates
-  constrains:
-  - pyopenssl >=22.1
+  - libgcc >=13
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 2542959
-  timestamp: 1716468436467
+  size: 2891789
+  timestamp: 1725410790053
 - kind: conda
   name: openssl
-  version: 3.3.0
-  build: hfb2fe0b_3
-  build_number: 3
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.3.0-hfb2fe0b_3.conda
-  sha256: 6f41c163ab57e7499dff092be4498614651f0f6432e12c2b9f06859a8bc39b75
-  md5: 730f618b008b3c13c1e3f973408ddd67
+  version: 3.3.2
+  build: hd23fc13_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.3.2-hd23fc13_0.conda
+  sha256: 2b75d4b56e45992adf172b158143742daeb316c35274b36f385ccb6644e93268
+  md5: 2ff47134c8e292868a4609519b1ea3b6
   depends:
-  - __osx >=11.0
+  - __osx >=10.13
   - ca-certificates
-  constrains:
-  - pyopenssl >=22.1
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 2893954
-  timestamp: 1716468329572
+  size: 2544654
+  timestamp: 1725410973572
 - kind: pypi
   name: opt-einsum
   version: 3.3.0
@@ -10734,8 +10359,7 @@ packages:
   - opt_einsum >=3.3.0,<3.3.1.0a0
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/opt-einsum?source=conda-forge-mapping
+  purls: []
   size: 6594
   timestamp: 1696449067022
 - kind: conda
@@ -10754,7 +10378,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/opt-einsum?source=conda-forge-mapping
+  - pkg:pypi/opt-einsum?source=hash-mapping
   size: 58004
   timestamp: 1696449058916
 - kind: conda
@@ -10772,35 +10396,35 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/overrides?source=conda-forge-mapping
+  - pkg:pypi/overrides?source=hash-mapping
   size: 30232
   timestamp: 1706394723472
 - kind: conda
   name: packaging
-  version: '24.0'
+  version: '24.1'
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
-  sha256: a390182d74c31dfd713c16db888c92c277feeb6d1fe96ff9d9c105f9564be48a
-  md5: 248f521b64ce055e7feae3105e7abeb8
+  url: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
+  sha256: 36aca948219e2c9fdd6d80728bcc657519e02f06c2703d8db3446aec67f51d81
+  md5: cbe1bb1f21567018ce595d9c2be0f0db
   depends:
   - python >=3.8
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/packaging?source=conda-forge-mapping
-  size: 49832
-  timestamp: 1710076089469
+  - pkg:pypi/packaging?source=hash-mapping
+  size: 50290
+  timestamp: 1718189540074
 - kind: pypi
   name: pandas
   version: 2.2.2
-  url: https://files.pythonhosted.org/packages/db/7c/9a60add21b96140e22465d9adf09832feade45235cd22f4cb1668a25e443/pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl
-  sha256: e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce
+  url: https://files.pythonhosted.org/packages/22/a5/a0b255295406ed54269814bc93723cfd1a0da63fb9aaf99e1364f07923e5/pandas-2.2.2-cp312-cp312-win_amd64.whl
+  sha256: d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23
   requires_dist:
-  - numpy>=1.22.4 ; python_version < '3.11'
-  - numpy>=1.23.2 ; python_version == '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
+  - numpy>=1.22.4 ; python_full_version < '3.11'
+  - numpy>=1.23.2 ; python_full_version == '3.11.*'
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
   - python-dateutil>=2.8.2
   - pytz>=2020.1
   - tzdata>=2022.7
@@ -10887,12 +10511,12 @@ packages:
 - kind: pypi
   name: pandas
   version: 2.2.2
-  url: https://files.pythonhosted.org/packages/22/a5/a0b255295406ed54269814bc93723cfd1a0da63fb9aaf99e1364f07923e5/pandas-2.2.2-cp312-cp312-win_amd64.whl
-  sha256: d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23
+  url: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
+  sha256: eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad
   requires_dist:
-  - numpy>=1.22.4 ; python_version < '3.11'
-  - numpy>=1.23.2 ; python_version == '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
+  - numpy>=1.22.4 ; python_full_version < '3.11'
+  - numpy>=1.23.2 ; python_full_version == '3.11.*'
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
   - python-dateutil>=2.8.2
   - pytz>=2020.1
   - tzdata>=2022.7
@@ -10979,12 +10603,12 @@ packages:
 - kind: pypi
   name: pandas
   version: 2.2.2
-  url: https://files.pythonhosted.org/packages/40/10/79e52ef01dfeb1c1ca47a109a01a248754ebe990e159a844ece12914de83/pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-  sha256: eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad
+  url: https://files.pythonhosted.org/packages/db/7c/9a60add21b96140e22465d9adf09832feade45235cd22f4cb1668a25e443/pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl
+  sha256: e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce
   requires_dist:
-  - numpy>=1.22.4 ; python_version < '3.11'
-  - numpy>=1.23.2 ; python_version == '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
+  - numpy>=1.22.4 ; python_full_version < '3.11'
+  - numpy>=1.23.2 ; python_full_version == '3.11.*'
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
   - python-dateutil>=2.8.2
   - pytz>=2020.1
   - tzdata>=2022.7
@@ -11074,9 +10698,9 @@ packages:
   url: https://files.pythonhosted.org/packages/dd/49/de869130028fb8d90e25da3b7d8fb13e40f5afa4c4af1781583eb1ff3839/pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl
   sha256: 9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef
   requires_dist:
-  - numpy>=1.22.4 ; python_version < '3.11'
-  - numpy>=1.23.2 ; python_version == '3.11'
-  - numpy>=1.26.0 ; python_version >= '3.12'
+  - numpy>=1.22.4 ; python_full_version < '3.11'
+  - numpy>=1.23.2 ; python_full_version == '3.11.*'
+  - numpy>=1.26.0 ; python_full_version >= '3.12'
   - python-dateutil>=2.8.2
   - pytz>=2020.1
   - tzdata>=2022.7
@@ -11162,13 +10786,13 @@ packages:
   requires_python: '>=3.9'
 - kind: conda
   name: pandas-stubs
-  version: 2.2.2.240514
+  version: 2.2.2.240807
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240514-pyhd8ed1ab_0.conda
-  sha256: 40e33fa2da653de63e03402ef78febdfc5bc2b9c931ab893e4b5661def542a3c
-  md5: 3acfae0e9e373e3baf2d2a5942548645
+  url: https://conda.anaconda.org/conda-forge/noarch/pandas-stubs-2.2.2.240807-pyhd8ed1ab_0.conda
+  sha256: 858fc48f3f9b398d8ca1a4006d637ec3767cb24b5c8c6f669dcaeb64442fa4c4
+  md5: f045ee4454edcf41eb489594ed8cef62
   depends:
   - numpy >=1.26.0
   - python >=3.9
@@ -11176,9 +10800,9 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pandas-stubs?source=conda-forge-mapping
-  size: 98529
-  timestamp: 1715779739697
+  - pkg:pypi/pandas-stubs?source=hash-mapping
+  size: 97850
+  timestamp: 1723055218678
 - kind: conda
   name: pandocfilters
   version: 1.5.0
@@ -11193,7 +10817,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pandocfilters?source=conda-forge-mapping
+  - pkg:pypi/pandocfilters?source=hash-mapping
   size: 11627
   timestamp: 1631603397334
 - kind: conda
@@ -11210,65 +10834,58 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/parso?source=conda-forge-mapping
+  - pkg:pypi/parso?source=hash-mapping
   size: 75191
   timestamp: 1712320447201
 - kind: conda
   name: pcre2
-  version: '10.43'
-  build: h17e33f8_0
+  version: '10.44'
+  build: h3d7b363_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.43-h17e33f8_0.conda
-  sha256: 9a82c7d49c4771342b398661862975efb9c30e7af600b5d2e08a0bf416fda492
-  md5: d0485b8aa2cedb141a7bd27b4efa4c9c
+  url: https://conda.anaconda.org/conda-forge/win-64/pcre2-10.44-h3d7b363_2.conda
+  sha256: f4a12cbf8a7c5bfa2592b9dc92b492c438781898e5b02f397979b0be6e1b5851
+  md5: a3a3baddcfb8c80db84bec3cb7746fb8
   depends:
   - bzip2 >=1.0.8,<2.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 818317
-  timestamp: 1708118868321
+  size: 820831
+  timestamp: 1723489427046
 - kind: conda
   name: pcre2
-  version: '10.43'
-  build: hcad00b1_0
+  version: '10.44'
+  build: hba22ea6_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.43-hcad00b1_0.conda
-  sha256: 766dd986a7ed6197676c14699000bba2625fd26c8a890fcb7a810e5cf56155bc
-  md5: 8292dea9e022d9610a11fce5e0896ed8
+  url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hba22ea6_2.conda
+  sha256: 1087716b399dab91cc9511d6499036ccdc53eb29a288bebcb19cf465c51d7c0d
+  md5: df359c09c41cd186fffb93a2d87aa6f5
   depends:
+  - __glibc >=2.17,<3.0.a0
   - bzip2 >=1.0.8,<2.0a0
   - libgcc-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 950847
-  timestamp: 1708118050286
-- kind: conda
-  name: pdbpp
-  version: 0.10.3
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pdbpp-0.10.3-pyhd8ed1ab_0.tar.bz2
-  sha256: c3f3996853853501af5ee936ebbd5a3de2eb1e73a078c7d4c541dbd97b315248
-  md5: 3efee795aeb50ae2ca1ac732b529e603
-  depends:
-  - fancycompleter
-  - pygments
-  - python >=3.4
-  - wmctrl
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/pdbpp?source=conda-forge-mapping
-  size: 25010
-  timestamp: 1626016866544
+  size: 952308
+  timestamp: 1723488734144
+- kind: pypi
+  name: pdbp
+  version: 1.5.4
+  url: https://files.pythonhosted.org/packages/67/34/eab14e33d21057cde184246976552a9d18b7c64832d9764203ed719bbb2a/pdbp-1.5.4-py3-none-any.whl
+  sha256: 5fcb438d593172d965b37896fd777ba8a8f57863b9a5a99dac941f463fb19b30
+  requires_dist:
+  - pygments>=2.17.2
+  - tabcompleter>=1.3.3
+  - colorama>=0.4.6 ; platform_system == 'Windows'
+  requires_python: '>=3.7'
 - kind: conda
   name: pexpect
   version: 4.9.0
@@ -11283,7 +10900,7 @@ packages:
   - python >=3.7
   license: ISC
   purls:
-  - pkg:pypi/pexpect?source=conda-forge-mapping
+  - pkg:pypi/pexpect?source=hash-mapping
   size: 53600
   timestamp: 1706113273252
 - kind: conda
@@ -11301,50 +10918,51 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pickleshare?source=conda-forge-mapping
+  - pkg:pypi/pickleshare?source=hash-mapping
   size: 9332
   timestamp: 1602536313357
 - kind: conda
   name: pillow
-  version: 10.3.0
-  build: py312h0c923fa_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pillow-10.3.0-py312h0c923fa_0.conda
-  sha256: 3e33ce8ba364948eeeeb06da435059b1ed0e6cfb2b1195931b76e190ee671310
-  md5: 6f0591ae972e9b815739da3392fbb3c3
+  version: 10.4.0
+  build: py312h287a98d_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.4.0-py312h287a98d_0.conda
+  sha256: f3bca9472702f32bf85196efbf013e9dabe130776e76c7f81062f18682f33a05
+  md5: 59ea71eed98aee0bebbbdd3b118167c7
   depends:
   - freetype >=2.12.1,<3.0a0
   - lcms2 >=2.16,<3.0a0
+  - libgcc-ng >=12
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libtiff >=4.6.0,<4.7.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libzlib >=1.3.1,<2.0a0
   - openjpeg >=2.5.2,<3.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tk >=8.6.13,<8.7.0a0
   license: HPND
   purls:
-  - pkg:pypi/pillow?source=conda-forge-mapping
-  size: 42531277
-  timestamp: 1712154782302
+  - pkg:pypi/pillow?source=hash-mapping
+  size: 42068301
+  timestamp: 1719903698022
 - kind: conda
   name: pillow
-  version: 10.3.0
-  build: py312h6f6a607_0
+  version: 10.4.0
+  build: py312h381445a_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pillow-10.3.0-py312h6f6a607_0.conda
-  sha256: f1621c28346609886ccce14b6ae0069b5cb34925ace73e05a8c06770d2ad7a19
-  md5: 8d5f5f1fa36200f1ef987299a47de403
+  url: https://conda.anaconda.org/conda-forge/win-64/pillow-10.4.0-py312h381445a_0.conda
+  sha256: 2c76c1ded20c5199d134ccecab596412510a016218f342914fd85384a850e7ed
+  md5: cc1e714c3cc43c59d9d0efa228c16364
   depends:
   - freetype >=2.12.1,<3.0a0
   - lcms2 >=2.16,<3.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libtiff >=4.6.0,<4.7.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libzlib >=1.3.1,<2.0a0
   - openjpeg >=2.5.2,<3.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -11354,25 +10972,26 @@ packages:
   - vc14_runtime >=14.29.30139
   license: HPND
   purls:
-  - pkg:pypi/pillow?source=conda-forge-mapping
-  size: 42439434
-  timestamp: 1712155248737
+  - pkg:pypi/pillow?source=hash-mapping
+  size: 42560613
+  timestamp: 1719904152461
 - kind: conda
   name: pillow
-  version: 10.3.0
-  build: py312h8a801b1_0
+  version: 10.4.0
+  build: py312h39b1d8d_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pillow-10.3.0-py312h8a801b1_0.conda
-  sha256: 26bc04e81ae5fce70e4b72478dadea29d32b693eed17640be7721108a3c9af0d
-  md5: 1d42544faaed27dce36268912b8dfedf
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pillow-10.4.0-py312h39b1d8d_0.conda
+  sha256: 7c4244fa62cf630375531723631764a276eb06eeb5cc345a8e55a091aec1e52d
+  md5: 461c9897622e08c614087f9c9b9a22ce
   depends:
+  - __osx >=11.0
   - freetype >=2.12.1,<3.0a0
   - lcms2 >=2.16,<3.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libtiff >=4.6.0,<4.7.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libzlib >=1.3.1,<2.0a0
   - openjpeg >=2.5.2,<3.0a0
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
@@ -11380,55 +10999,35 @@ packages:
   - tk >=8.6.13,<8.7.0a0
   license: HPND
   purls:
-  - pkg:pypi/pillow?source=conda-forge-mapping
-  size: 42729895
-  timestamp: 1712155044162
+  - pkg:pypi/pillow?source=hash-mapping
+  size: 42347638
+  timestamp: 1719903919946
 - kind: conda
   name: pillow
-  version: 10.3.0
-  build: py312hdcec9eb_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py312hdcec9eb_0.conda
-  sha256: a7fdcc1e56b66d95622bad073cc8d347cc180988040419754abb2a4ed7b29471
-  md5: 425bb325f970e57a047ac57c4586489d
+  version: 10.4.0
+  build: py312hbd70edc_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/pillow-10.4.0-py312hbd70edc_0.conda
+  sha256: 38b6e8c63c8ebfd9c8552312cecd385ec7bfad6e5733f5c6b6df0db801ea5f43
+  md5: 8d55e92fa6380ac8c245f253b096fefd
   depends:
+  - __osx >=10.13
   - freetype >=2.12.1,<3.0a0
   - lcms2 >=2.16,<3.0a0
-  - libgcc-ng >=12
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libtiff >=4.6.0,<4.7.0a0
-  - libwebp-base >=1.3.2,<2.0a0
-  - libxcb >=1.15,<1.16.0a0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - libzlib >=1.3.1,<2.0a0
   - openjpeg >=2.5.2,<3.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - tk >=8.6.13,<8.7.0a0
   license: HPND
   purls:
-  - pkg:pypi/pillow?source=conda-forge-mapping
-  size: 41991755
-  timestamp: 1712154634705
-- kind: conda
-  name: pixi-kernel
-  version: 0.3.0
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pixi-kernel-0.3.0-pyhd8ed1ab_0.conda
-  sha256: 28cc397c1447ffc80a456e9a852c519c9b9bbadc22637c95245aa9fd6237a4e4
-  md5: a4dee5f9c9d48599ad38b0f79d64a789
-  depends:
-  - ipykernel >=6
-  - jupyter_client >=7
-  - msgspec >=0.18
-  - python >=3.8,<4.0
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pixi-kernel?source=conda-forge-mapping
-  size: 637701
-  timestamp: 1713383157638
+  - pkg:pypi/pillow?source=hash-mapping
+  size: 42081826
+  timestamp: 1719903909255
 - kind: conda
   name: pixman
   version: 0.43.2
@@ -11445,6 +11044,23 @@ packages:
   purls: []
   size: 386826
   timestamp: 1706549500138
+- kind: conda
+  name: pixman
+  version: 0.43.4
+  build: h63175ca_0
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/pixman-0.43.4-h63175ca_0.conda
+  sha256: 51de4d7fb41597b06d60f1b82e269dafcb55e994e08fdcca8e4d6f7d42bedd07
+  md5: b98135614135d5f458b75ab9ebb9558c
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 461854
+  timestamp: 1709239971654
 - kind: conda
   name: pkgutil-resolve-name
   version: 1.3.10
@@ -11459,35 +11075,34 @@ packages:
   - python >=3.6
   license: MIT AND PSF-2.0
   purls:
-  - pkg:pypi/pkgutil-resolve-name?source=conda-forge-mapping
+  - pkg:pypi/pkgutil-resolve-name?source=hash-mapping
   size: 10778
   timestamp: 1694617398467
 - kind: conda
   name: platformdirs
-  version: 4.2.2
+  version: 4.3.2
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.2.2-pyhd8ed1ab_0.conda
-  sha256: adc59384cf0b2fc6dc7362840151e8cb076349197a38f7230278252698a88442
-  md5: 6f6cf28bf8e021933869bae3f84b8fc9
+  url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-4.3.2-pyhd8ed1ab_0.conda
+  sha256: 3aef5bb863a2db94e47272fd5ec5a5e4b240eafba79ebb9df7a162797cf035a3
+  md5: e1a2dfcd5695f0744f1bcd3bbfe02523
   depends:
   - python >=3.8
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/platformdirs?source=conda-forge-mapping
-  size: 20572
-  timestamp: 1715777739019
+  - pkg:pypi/platformdirs?source=hash-mapping
+  size: 20623
+  timestamp: 1725821846879
 - kind: conda
   name: plotly
-  version: 5.22.0
+  version: 5.24.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.22.0-pyhd8ed1ab_0.conda
-  sha256: 16cada008ce6bf231bcb00a9aca6bddd03d4d0f1f7f2cd83882aa0023845c33a
-  md5: 5b409a5f738e7d76c2b426eddb7e9956
+  url: https://conda.anaconda.org/conda-forge/noarch/plotly-5.24.0-pyhd8ed1ab_0.conda
+  sha256: 5b30a1398cd2f5b748cec9353386a73f2f53027bffb77d18e828c16aab350dfd
+  md5: 80a4a0867ded2a66687e78bca0bc70fc
   depends:
   - packaging
   - python >=3.6
@@ -11497,9 +11112,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/plotly?source=conda-forge-mapping
-  size: 5322725
-  timestamp: 1714830130338
+  - pkg:pypi/plotly?source=hash-mapping
+  size: 5928034
+  timestamp: 1724987200192
 - kind: conda
   name: pluggy
   version: 1.5.0
@@ -11514,36 +11129,19 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pluggy?source=conda-forge-mapping
+  - pkg:pypi/pluggy?source=hash-mapping
   size: 23815
   timestamp: 1713667175451
-- kind: conda
-  name: ply
-  version: '3.11'
-  build: pyhd8ed1ab_2
-  build_number: 2
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/ply-3.11-pyhd8ed1ab_2.conda
-  sha256: d8faaf4dcc13caed560fa32956523b35928a70499a2d08c51320947d637e3a41
-  md5: 18c6deb6f9602e32446398203c8f0e91
-  depends:
-  - python >=2.6
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/ply?source=conda-forge-mapping
-  size: 49196
-  timestamp: 1712243121626
 - kind: conda
   name: pre-commit
-  version: 3.7.1
-  build: pyha770c72_0
+  version: 3.8.0
+  build: pyha770c72_1
+  build_number: 1
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.7.1-pyha770c72_0.conda
-  sha256: 689c169ce6ed5d516d8524cc1e6ef2687dff19747c1ed1ee9b347a71f47ff12d
-  md5: 724bc4489c1174fc8e3233b0624fa51f
+  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.8.0-pyha770c72_1.conda
+  sha256: c2b964c86b2cd00e494093d751b1f8697b3c4bf924ff70648387af161444cc82
+  md5: 004cff3a7f6fafb0a041fb575de85185
   depends:
   - cfgv >=2.0.0
   - identify >=1.0.0
@@ -11554,9 +11152,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pre-commit?source=conda-forge-mapping
-  size: 179748
-  timestamp: 1715432871404
+  - pkg:pypi/pre-commit?source=hash-mapping
+  size: 180526
+  timestamp: 1725795837882
 - kind: conda
   name: prometheus_client
   version: 0.20.0
@@ -11571,102 +11169,109 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/prometheus-client?source=conda-forge-mapping
+  - pkg:pypi/prometheus-client?source=hash-mapping
   size: 48913
   timestamp: 1707932844383
 - kind: conda
   name: prompt-toolkit
-  version: 3.0.42
+  version: 3.0.47
   build: pyha770c72_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
-  sha256: 58525b2a9305fb154b2b0d43a48b9a6495441b80e4fbea44f2a34a597d2cef16
-  md5: 0bf64bf10eee21f46ac83c161917fa86
+  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.47-pyha770c72_0.conda
+  sha256: d93ac5853e398aaa10f0dd7addd64b411f94ace1f9104d619cd250e19a5ac5b4
+  md5: 1247c861065d227781231950e14fe817
   depends:
   - python >=3.7
   - wcwidth
   constrains:
-  - prompt_toolkit 3.0.42
+  - prompt_toolkit 3.0.47
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/prompt-toolkit?source=conda-forge-mapping
-  size: 270398
-  timestamp: 1702399557137
+  - pkg:pypi/prompt-toolkit?source=hash-mapping
+  size: 270710
+  timestamp: 1718048095491
 - kind: conda
   name: psutil
-  version: 5.9.8
-  build: py312h41838bb_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.8-py312h41838bb_0.conda
-  sha256: 12e5053d19bddaf7841e59cbe9ba98fa5d4d8502ceccddad80888515e1366107
-  md5: 03926e7089a5e61b77043b470ae7b553
+  version: 6.0.0
+  build: py312h024a12e_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-6.0.0-py312h024a12e_1.conda
+  sha256: 1d4795e23f993cdbc99fe2694fa97a346581abf29f915a8f8f0583d3e975416f
+  md5: 359b2df113eabdd6c50a5680bbc88512
   depends:
+  - __osx >=11.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/psutil?source=conda-forge-mapping
-  size: 495162
-  timestamp: 1705722685887
+  - pkg:pypi/psutil?source=hash-mapping
+  size: 499846
+  timestamp: 1725738097580
 - kind: conda
   name: psutil
-  version: 5.9.8
-  build: py312h98912ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.8-py312h98912ed_0.conda
-  sha256: 27e7f8f5d30c74439f39d61e21ac14c0cd03b5d55f7bf9f946fb619016f73c61
-  md5: 3facaca6cc0f7988df3250efccd32da3
+  version: 6.0.0
+  build: py312h4389bb4_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/psutil-6.0.0-py312h4389bb4_1.conda
+  sha256: fc16b9c6a511a6c127d7d6b973771be14266aaa8a3069abbf0b70727e1ab8394
+  md5: 6847f7375068f9ef7d22ca7cb1055f31
   depends:
-  - libgcc-ng >=12
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/psutil?source=conda-forge-mapping
-  size: 486243
-  timestamp: 1705722547420
+  - pkg:pypi/psutil?source=hash-mapping
+  size: 506867
+  timestamp: 1725738313194
 - kind: conda
   name: psutil
-  version: 5.9.8
-  build: py312he37b823_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/psutil-5.9.8-py312he37b823_0.conda
-  sha256: a996bd5f878da264d1d3ba7fde717b0a2c158a86645efb1e899d087cca74832d
-  md5: cd6e99b9c5a623735161973b5f693a86
+  version: 6.0.0
+  build: py312h66e93f0_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/psutil-6.0.0-py312h66e93f0_1.conda
+  sha256: fae2f63dd668ab2e7b2813f826508ae2c83f43577eeef5acf304f736b327c5be
+  md5: 76706c73e315d21bede804514a39bccf
   depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/psutil?source=conda-forge-mapping
-  size: 499490
-  timestamp: 1705722767772
+  - pkg:pypi/psutil?source=hash-mapping
+  size: 493021
+  timestamp: 1725738009896
 - kind: conda
   name: psutil
-  version: 5.9.8
-  build: py312he70551f_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/psutil-5.9.8-py312he70551f_0.conda
-  sha256: 36f8addb327f80da4d6bd421170ff4cf8fb570d9ee8df39372427a4e33298dca
-  md5: 5f2998851564bea33a159bd00e6249e8
+  version: 6.0.0
+  build: py312hb553811_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/psutil-6.0.0-py312hb553811_1.conda
+  sha256: ac711ad735ebfe9bc01d0d2c11ef56fe3f5a4e2499774b5e46eac44749adece7
+  md5: b2395d1f7ceb250b13b65bd13c5558a2
   depends:
+  - __osx >=10.13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/psutil?source=conda-forge-mapping
-  size: 503677
-  timestamp: 1705722843679
+  - pkg:pypi/psutil?source=hash-mapping
+  size: 499530
+  timestamp: 1725737996873
 - kind: conda
   name: pthread-stubs
   version: '0.4'
@@ -11755,47 +11360,26 @@ packages:
   - python
   license: ISC
   purls:
-  - pkg:pypi/ptyprocess?source=conda-forge-mapping
+  - pkg:pypi/ptyprocess?source=hash-mapping
   size: 16546
   timestamp: 1609419417991
-- kind: conda
-  name: pulseaudio-client
-  version: '17.0'
-  build: hb77b528_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pulseaudio-client-17.0-hb77b528_0.conda
-  sha256: b27c0c8671bd95c205a61aeeac807c095b60bc76eb5021863f919036d7a964fc
-  md5: 07f45f1be1c25345faddb8db0de8039b
-  depends:
-  - dbus >=1.13.6,<2.0a0
-  - libgcc-ng >=12
-  - libglib >=2.78.3,<3.0a0
-  - libsndfile >=1.2.2,<1.3.0a0
-  - libsystemd0 >=255
-  constrains:
-  - pulseaudio 17.0 *_0
-  license: LGPL-2.1-or-later
-  license_family: LGPL
-  purls: []
-  size: 757633
-  timestamp: 1705690081905
 - kind: conda
   name: pure_eval
-  version: 0.2.2
+  version: 0.2.3
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
-  sha256: 72792f9fc2b1820e37cc57f84a27bc819c71088c3002ca6db05a2e56404f9d44
-  md5: 6784285c7e55cb7212efabc79e4c2883
+  url: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.3-pyhd8ed1ab_0.conda
+  sha256: dcfcb3cee1ae0a89729601582cc3edea20ba13c9493967a03a693c67567af0c8
+  md5: 0f051f09d992e0d08941706ad519ee0e
   depends:
   - python >=3.5
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pure-eval?source=conda-forge-mapping
-  size: 14551
-  timestamp: 1642876055775
+  - pkg:pypi/pure-eval?source=hash-mapping
+  size: 16551
+  timestamp: 1721585805256
 - kind: conda
   name: pybaum
   version: 0.1.3
@@ -11810,7 +11394,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pybaum?source=conda-forge-mapping
+  - pkg:pypi/pybaum?source=hash-mapping
   size: 15260
   timestamp: 1671200896923
 - kind: conda
@@ -11827,7 +11411,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pycparser?source=conda-forge-mapping
+  - pkg:pypi/pycparser?source=hash-mapping
   size: 105098
   timestamp: 1711811634025
 - kind: conda
@@ -11844,18 +11428,20 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pygments?source=conda-forge-mapping
+  - pkg:pypi/pygments?source=hash-mapping
   size: 879295
   timestamp: 1714846885370
 - kind: conda
   name: pyobjc-core
-  version: '10.2'
-  build: py312h74abf1d_0
+  version: 10.3.1
+  build: py312hab44e94_1
+  build_number: 1
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.2-py312h74abf1d_0.conda
-  sha256: adc9590ed50322275a7e835377157c93e93fd457133ecb62d0ccb60cf2906340
-  md5: fc53fe067431dee92471aac39ed58128
+  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-10.3.1-py312hab44e94_1.conda
+  sha256: 2cd47e3b011640115066d71a5266c825ab85854c1e5fff0fef2f24318f8c63e8
+  md5: a2259b39321aef5c0548de366cc9b861
   depends:
+  - __osx >=10.13
   - libffi >=3.4,<4.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -11863,256 +11449,148 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pyobjc-core?source=conda-forge-mapping
-  size: 469732
-  timestamp: 1710591122760
+  - pkg:pypi/pyobjc-core?source=hash-mapping
+  size: 499240
+  timestamp: 1725739564809
 - kind: conda
   name: pyobjc-core
-  version: '10.2'
-  build: py312h9d22092_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.2-py312h9d22092_0.conda
-  sha256: 15db5d1e8639691365a0485c5ee9791760480ffff9cc7d1bbb635a9a83efc35e
-  md5: e8e394bb93509a5f0dacd981dc06099d
-  depends:
-  - libffi >=3.4,<4.0a0
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  - setuptools
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pyobjc-core?source=conda-forge-mapping
-  size: 458802
-  timestamp: 1710591355614
-- kind: conda
-  name: pyobjc-framework-cocoa
-  version: '10.2'
-  build: py312h74abf1d_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.2-py312h74abf1d_0.conda
-  sha256: 6a8b5be723f5c9188bfe3219e0448450775e2e0e798e6986e46605df4c875437
-  md5: b5fca135abb5b6d34afceb96c91e60fd
-  depends:
-  - libffi >=3.4,<4.0a0
-  - pyobjc-core 10.2.*
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pyobjc-framework-cocoa?source=conda-forge-mapping
-  size: 369208
-  timestamp: 1710597488587
-- kind: conda
-  name: pyobjc-framework-cocoa
-  version: '10.2'
-  build: py312h9d22092_0
+  version: 10.3.1
+  build: py312hd24fc31_1
+  build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.2-py312h9d22092_0.conda
-  sha256: 3a7130dd53f3b92bae250c8f5831cde031d102b884bc5b556ade3882d8a27151
-  md5: b21b7942dd1d055073b95fed9cac0bff
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-10.3.1-py312hd24fc31_1.conda
+  sha256: e3311a9b7e843e3fb2b814bf0a0a901db8d2c21d72bacf246a95867c2628ca25
+  md5: 1533727287f098e669d75f9c54dc1601
   depends:
+  - __osx >=11.0
   - libffi >=3.4,<4.0a0
-  - pyobjc-core 10.2.*
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pyobjc-framework-cocoa?source=conda-forge-mapping
-  size: 370036
-  timestamp: 1710597539579
-- kind: conda
-  name: pyparsing
-  version: 3.1.2
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.2-pyhd8ed1ab_0.conda
-  sha256: 06c77cb03e5dde2d939b216c99dd2db52ea93a4c7c599f3882f136005c359c7b
-  md5: b9a4dacf97241704529131a0dfc0494f
-  depends:
-  - python >=3.6
-  license: MIT
-  license_family: MIT
-  purls:
-  - pkg:pypi/pyparsing?source=conda-forge-mapping
-  size: 89455
-  timestamp: 1709721146886
-- kind: conda
-  name: pyqt
-  version: 5.15.9
-  build: py312h949fe66_5
-  build_number: 5
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyqt-5.15.9-py312h949fe66_5.conda
-  sha256: 22ccc59c03872fc680be597a1783d2c77e6b2d16953e2ec67df91f073820bebe
-  md5: f6548a564e2d01b2a42020259503945b
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - pyqt5-sip 12.12.2 py312h30efb56_5
-  - python >=3.12.0rc3,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - qt-main >=5.15.8,<5.16.0a0
-  - sip >=6.7.11,<6.8.0a0
-  license: GPL-3.0-only
-  license_family: GPL
-  purls:
-  - pkg:pypi/pyqt5?source=conda-forge-mapping
-  size: 5263946
-  timestamp: 1695421350577
-- kind: conda
-  name: pyqt
-  version: 5.15.9
-  build: py312he09f080_5
-  build_number: 5
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pyqt-5.15.9-py312he09f080_5.conda
-  sha256: c524cafaf98661f3bd5819494b41563fe5a851f6e44a7d08631c99f1dfb961c7
-  md5: fb0861092c40e5d054e984abd88e5ea8
-  depends:
-  - pyqt5-sip 12.12.2 py312h53d5487_5
-  - python >=3.12.0rc3,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - qt-main >=5.15.8,<5.16.0a0
-  - sip >=6.7.11,<6.8.0a0
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: GPL-3.0-only
-  license_family: GPL
-  purls:
-  - pkg:pypi/pyqt5?source=conda-forge-mapping
-  size: 3894083
-  timestamp: 1695421066159
-- kind: conda
-  name: pyqt5-sip
-  version: 12.12.2
-  build: py312h30efb56_5
-  build_number: 5
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyqt5-sip-12.12.2-py312h30efb56_5.conda
-  sha256: c7154e1933360881b99687d580c4b941fb0cc6ad9574762d409a28196ef5e240
-  md5: 8a2a122dc4fe14d8cff38f1cf426381f
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - packaging
-  - python >=3.12.0rc3,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - sip
-  - toml
-  license: GPL-3.0-only
-  license_family: GPL
-  purls:
-  - pkg:pypi/pyqt5-sip?source=conda-forge-mapping
-  size: 85809
-  timestamp: 1695418132533
-- kind: conda
-  name: pyqt5-sip
-  version: 12.12.2
-  build: py312h53d5487_5
-  build_number: 5
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pyqt5-sip-12.12.2-py312h53d5487_5.conda
-  sha256: 56242d5203e7231ee5bdd25df417dfc60a4f38e335f922f7e00f8c518ba87bd1
-  md5: dbaa69d84f7da6ac3ec20de2a9529a4b
-  depends:
-  - packaging
-  - python >=3.12.0rc3,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - sip
-  - toml
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: GPL-3.0-only
-  license_family: GPL
+  - setuptools
+  license: MIT
+  license_family: MIT
   purls:
-  - pkg:pypi/pyqt5-sip?source=conda-forge-mapping
-  size: 79366
-  timestamp: 1695418564486
+  - pkg:pypi/pyobjc-core?source=hash-mapping
+  size: 490928
+  timestamp: 1725739760349
 - kind: conda
-  name: pyreadline
-  version: '2.1'
-  build: py312h2e8e312_1008
-  build_number: 1008
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pyreadline-2.1-py312h2e8e312_1008.conda
-  sha256: e394b927c65f0c9d9923ccf1f38eb3affca7a6a80a33437661cbb7d315ffd144
-  md5: afe934de0894588557920aecc0d38008
+  name: pyobjc-framework-cocoa
+  version: 10.3.1
+  build: py312hab44e94_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-10.3.1-py312hab44e94_1.conda
+  sha256: 0b6a7635467fb54d094fdeca82406ca6ecdffafc69a943066affe73431d505d5
+  md5: 2cd451bd736cd2273b766b709c5ab7fa
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - __osx >=10.13
+  - libffi >=3.4,<4.0a0
+  - pyobjc-core 10.3.1.*
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  license: BSD-3-Clause
-  license_family: BSD
+  license: MIT
   purls:
-  - pkg:pypi/pyreadline?source=conda-forge-mapping
-  size: 203345
-  timestamp: 1695558540152
+  - pkg:pypi/pyobjc-framework-cocoa?source=hash-mapping
+  size: 377479
+  timestamp: 1725875154490
 - kind: conda
-  name: pyrepl
-  version: 0.9.0
-  build: py312h41838bb_9
-  build_number: 9
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyrepl-0.9.0-py312h41838bb_9.conda
-  sha256: d3afc66c8f42799569f8b6a1c17620778d4f3883aaeec7853528b3a801c10d37
-  md5: 5a5129f3fda320125be28bc7e4c30681
+  name: pyobjc-framework-cocoa
+  version: 10.3.1
+  build: py312hd24fc31_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-10.3.1-py312hd24fc31_1.conda
+  sha256: 799aa68d1d9abe00f3574d7763e91f86007a938ab8f5dff63ae3e1f22d0d634d
+  md5: b1c63f8abafc9530a9259e0d6a70e984
   depends:
-  - ncurses
+  - __osx >=11.0
+  - libffi >=3.4,<4.0a0
+  - pyobjc-core 10.3.1.*
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  license: ISC
-  license_family: OTHER
+  license: MIT
   purls:
-  - pkg:pypi/pyrepl?source=conda-forge-mapping
-  size: 106655
-  timestamp: 1709132363554
+  - pkg:pypi/pyobjc-framework-cocoa?source=hash-mapping
+  size: 381079
+  timestamp: 1725875188776
 - kind: conda
-  name: pyrepl
-  version: 0.9.0
-  build: py312h98912ed_9
-  build_number: 9
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyrepl-0.9.0-py312h98912ed_9.conda
-  sha256: 9e9d59e511c8a8e0792386bec59a87e584768f2856b1131191c6e98f50b03cc2
-  md5: a56b87ccd13bc27b0e8ce66c75abe79e
+  name: pyparsing
+  version: 3.1.4
+  build: pyhd8ed1ab_0
+  subdir: noarch
+  noarch: python
+  url: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.1.4-pyhd8ed1ab_0.conda
+  sha256: 8714a83f1aeac278b3eb33c7cb880c95c9a5924e7a5feeb9e87e7d0837afa085
+  md5: 4d91352a50949d049cf9714c8563d433
   depends:
-  - libgcc-ng >=12
-  - ncurses
+  - python >=3.6
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/pyparsing?source=hash-mapping
+  size: 90129
+  timestamp: 1724616224956
+- kind: pypi
+  name: pyreadline3
+  version: 3.4.1
+  url: https://files.pythonhosted.org/packages/56/fc/a3c13ded7b3057680c8ae95a9b6cc83e63657c38e0005c400a5d018a33a7/pyreadline3-3.4.1-py3-none-any.whl
+  sha256: b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
+- kind: conda
+  name: pyside6
+  version: 6.7.2
+  build: py312h2ee7485_2
+  build_number: 2
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/pyside6-6.7.2-py312h2ee7485_2.conda
+  sha256: 1576947d4c0dcf5fb04497aa350bae0cde45e09ae568d7760ff303a20620ad68
+  md5: ee646594cba1942d42cb3bd280243fd2
+  depends:
+  - libclang13 >=18.1.8
+  - libxml2 >=2.12.7,<3.0a0
+  - libxslt >=1.1.39,<2.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  license: ISC
-  license_family: OTHER
+  - qt6-main 6.7.2.*
+  - qt6-main >=6.7.2,<6.8.0a0
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: LGPL-3.0-only
+  license_family: LGPL
   purls:
-  - pkg:pypi/pyrepl?source=conda-forge-mapping
-  size: 104985
-  timestamp: 1709131190353
+  - pkg:pypi/pyside6?source=hash-mapping
+  - pkg:pypi/shiboken6?source=hash-mapping
+  size: 9267851
+  timestamp: 1723107384817
 - kind: conda
-  name: pyrepl
-  version: 0.9.0
-  build: py312he37b823_9
-  build_number: 9
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyrepl-0.9.0-py312he37b823_9.conda
-  sha256: 41fd0010d8520d26a56e1585cc46b4bbcfbb94b9e3bcebcbe18885ea14a06fa6
-  md5: 4c4540b6c01647e1737670f4f1142f7e
+  name: pyside6
+  version: 6.7.2
+  build: py312hb5137db_2
+  build_number: 2
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/pyside6-6.7.2-py312hb5137db_2.conda
+  sha256: d270c55f5874867c2c258fcc54bda2bb9d03f2e9f2e184c3edd92a71f4deca2f
+  md5: 99889d0c042cc4dfb9a758619d487282
   depends:
-  - ncurses
+  - __glibc >=2.17,<3.0.a0
+  - libclang13 >=18.1.8
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  - libxml2 >=2.12.7,<3.0a0
+  - libxslt >=1.1.39,<2.0a0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  license: ISC
-  license_family: OTHER
+  - qt6-main 6.7.2.*
+  - qt6-main >=6.7.2,<6.8.0a0
+  license: LGPL-3.0-only
+  license_family: LGPL
   purls:
-  - pkg:pypi/pyrepl?source=conda-forge-mapping
-  size: 105769
-  timestamp: 1709131653373
+  - pkg:pypi/pyside6?source=hash-mapping
+  - pkg:pypi/shiboken6?source=hash-mapping
+  size: 10639049
+  timestamp: 1723107283396
 - kind: conda
   name: pysocks
   version: 1.7.1
@@ -12130,7 +11608,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pysocks?source=conda-forge-mapping
+  - pkg:pypi/pysocks?source=hash-mapping
   size: 19348
   timestamp: 1661605138291
 - kind: conda
@@ -12149,24 +11627,24 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pysocks?source=conda-forge-mapping
+  - pkg:pypi/pysocks?source=hash-mapping
   size: 18981
   timestamp: 1661604969727
 - kind: conda
   name: pytest
-  version: 8.2.1
+  version: 8.3.2
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pytest-8.2.1-pyhd8ed1ab_0.conda
-  sha256: b48cbecf03f26b4a50a5852b12ff6b24e8d35ffc3562ef484db0efb38d504b25
-  md5: e4418e8bdbaa8eea28e047531e6763c8
+  url: https://conda.anaconda.org/conda-forge/noarch/pytest-8.3.2-pyhd8ed1ab_0.conda
+  sha256: 72c84a3cd9fe82835a88e975fd2a0dbf2071d1c423ea4f79e7930578c1014873
+  md5: e010a224b90f1f623a917c35addbb924
   depends:
   - colorama
   - exceptiongroup >=1.0.0rc8
   - iniconfig
   - packaging
-  - pluggy <2.0,>=1.5
+  - pluggy <2,>=1.5
   - python >=3.8
   - tomli >=1
   constrains:
@@ -12174,9 +11652,9 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pytest?source=conda-forge-mapping
-  size: 257189
-  timestamp: 1716221414386
+  - pkg:pypi/pytest?source=hash-mapping
+  size: 257671
+  timestamp: 1721923749407
 - kind: conda
   name: pytest-cov
   version: 5.0.0
@@ -12194,30 +11672,30 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pytest-cov?source=conda-forge-mapping
+  - pkg:pypi/pytest-cov?source=hash-mapping
   size: 25507
   timestamp: 1711411153367
 - kind: conda
   name: pytest-xdist
-  version: 3.5.0
+  version: 3.6.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.5.0-pyhd8ed1ab_0.conda
-  sha256: 8dc1d422e48e5a80eb72e26ed0135bb4843cf508d3b1cb006c3257c8639784d1
-  md5: d5f595da2daead898ca958ac62f0307b
+  url: https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-3.6.1-pyhd8ed1ab_0.conda
+  sha256: c9f27ed55352bee2c9f7cc2fdaf12b322ee280b1989d7e763b4540d4fe7ec995
+  md5: b39568655c127a9c4a44d178ac99b6d0
   depends:
-  - execnet >=1.1
-  - pytest >=6.2.0
-  - python >=3.7
+  - execnet >=2.1
+  - pytest >=7.0.0
+  - python >=3.8
   constrains:
   - psutil >=3.0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pytest-xdist?source=conda-forge-mapping
-  size: 36516
-  timestamp: 1700593072448
+  - pkg:pypi/pytest-xdist?source=hash-mapping
+  size: 38320
+  timestamp: 1718138508765
 - kind: conda
   name: python
   version: 3.12.0
@@ -12231,7 +11709,7 @@ packages:
   - libexpat >=2.5.0,<3.0a0
   - libffi >=3.4,<4.0a0
   - libsqlite >=3.43.0,<4.0a0
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   - openssl >=3.1.3,<4.0a0
   - tk >=8.6.13,<8.7.0a0
   - tzdata
@@ -12258,7 +11736,7 @@ packages:
   - libexpat >=2.5.0,<3.0a0
   - libffi >=3.4,<4.0a0
   - libsqlite >=3.43.0,<4.0a0
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   - ncurses >=6.4,<7.0a0
   - openssl >=3.1.3,<4.0a0
   - readline >=8.2,<9.0a0
@@ -12284,7 +11762,7 @@ packages:
   - libexpat >=2.5.0,<3.0a0
   - libffi >=3.4,<4.0a0
   - libsqlite >=3.43.0,<4.0a0
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   - ncurses >=6.4,<7.0a0
   - openssl >=3.1.3,<4.0a0
   - readline >=8.2,<9.0a0
@@ -12314,7 +11792,7 @@ packages:
   - libnsl >=2.0.0,<2.1.0a0
   - libsqlite >=3.43.0,<4.0a0
   - libuuid >=2.38.1,<3.0a0
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   - ncurses >=6.4,<7.0a0
   - openssl >=3.1.3,<4.0a0
   - readline >=8.2,<9.0a0
@@ -12342,26 +11820,26 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/python-dateutil?source=conda-forge-mapping
+  - pkg:pypi/python-dateutil?source=hash-mapping
   size: 222742
   timestamp: 1709299922152
 - kind: conda
   name: python-fastjsonschema
-  version: 2.19.1
+  version: 2.20.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
-  sha256: 38b2db169d65cc5595e3ce63294c4fdb6a242ecf71f70b3ad8cad3bd4230d82f
-  md5: 4d3ceee3af4b0f9a1f48f57176bf8625
+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
+  sha256: 7d8c931b89c9980434986b4deb22c2917b58d9936c3974139b9c10ae86fdfe60
+  md5: b98d2018c01ce9980c03ee2850690fab
   depends:
   - python >=3.3
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/fastjsonschema?source=conda-forge-mapping
-  size: 225250
-  timestamp: 1703781171097
+  - pkg:pypi/fastjsonschema?source=hash-mapping
+  size: 226165
+  timestamp: 1718477110630
 - kind: conda
   name: python-json-logger
   version: 2.0.7
@@ -12376,73 +11854,73 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/python-json-logger?source=conda-forge-mapping
+  - pkg:pypi/python-json-logger?source=hash-mapping
   size: 13383
   timestamp: 1677079727691
 - kind: conda
   name: python_abi
   version: '3.12'
-  build: 4_cp312
-  build_number: 4
+  build: 5_cp312
+  build_number: 5
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
-  sha256: 182a329de10a4165f6e8a3804caf751f918f6ea6176dd4e5abcdae1ed3095bf6
-  md5: dccc2d142812964fcc6abdc97b672dff
+  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-5_cp312.conda
+  sha256: d10e93d759931ffb6372b45d65ff34d95c6000c61a07e298d162a3bc2accebb0
+  md5: 0424ae29b104430108f5218a66db7260
   constrains:
   - python 3.12.* *_cpython
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 6385
-  timestamp: 1695147396604
+  size: 6238
+  timestamp: 1723823388266
 - kind: conda
   name: python_abi
   version: '3.12'
-  build: 4_cp312
-  build_number: 4
+  build: 5_cp312
+  build_number: 5
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-4_cp312.conda
-  sha256: 82c154d95c1637604671a02a89e72f1382e89a4269265a03506496bd928f6f14
-  md5: 87201ac4314b911b74197e588cca3639
+  url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.12-5_cp312.conda
+  sha256: 4da26c7508d5bc5d8621e84dc510284402239df56aab3587a7d217de9d3c806d
+  md5: c34dd4920e0addf7cfcc725809f25d8e
   constrains:
   - python 3.12.* *_cpython
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 6496
-  timestamp: 1695147498447
+  size: 6312
+  timestamp: 1723823137004
 - kind: conda
   name: python_abi
   version: '3.12'
-  build: 4_cp312
-  build_number: 4
+  build: 5_cp312
+  build_number: 5
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-4_cp312.conda
-  sha256: db25428e4f24f8693ffa39f3ff6dfbb8fd53bc298764b775b57edab1c697560f
-  md5: bbb3a02c78b2d8219d7213f76d644a2a
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.12-5_cp312.conda
+  sha256: 49d624e4b809c799d2bf257b22c23cf3fc4460f5570d9a58e7ad86350aeaa1f4
+  md5: b76f9b1c862128e56ac7aa8cd2333de9
   constrains:
   - python 3.12.* *_cpython
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 6508
-  timestamp: 1695147497048
+  size: 6278
+  timestamp: 1723823099686
 - kind: conda
   name: python_abi
   version: '3.12'
-  build: 4_cp312
-  build_number: 4
+  build: 5_cp312
+  build_number: 5
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-4_cp312.conda
-  sha256: 488f8519d04b48f59bd6fde21ebe2d7a527718ff28aac86a8b53aa63658bdef6
-  md5: 17f4ccf6be9ded08bd0a376f489ac1a6
+  url: https://conda.anaconda.org/conda-forge/win-64/python_abi-3.12-5_cp312.conda
+  sha256: 9486662af81a219e96d343449eff242f38d7c5128ced5ce5acf85857265058d6
+  md5: e8681f534453af7afab4cd2bc1423eec
   constrains:
   - python 3.12.* *_cpython
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 6785
-  timestamp: 1695147430513
+  size: 6730
+  timestamp: 1723823139725
 - kind: conda
   name: pytz
   version: '2024.1'
@@ -12457,7 +11935,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pytz?source=conda-forge-mapping
+  - pkg:pypi/pytz?source=hash-mapping
   size: 188538
   timestamp: 1706886944988
 - kind: conda
@@ -12478,17 +11956,18 @@ packages:
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/pywin32?source=conda-forge-mapping
+  - pkg:pypi/pywin32?source=hash-mapping
   size: 6127499
   timestamp: 1695974557413
 - kind: conda
   name: pywinpty
   version: 2.0.13
-  build: py312h53d5487_0
+  build: py312h275cf98_1
+  build_number: 1
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h53d5487_0.conda
-  sha256: 56d95d00a0fe6170e6e0e1da6b0e1201291b8054a6342c0792bc4dd791a39088
-  md5: 84bc43e330340c01ce93231c096d4ab1
+  url: https://conda.anaconda.org/conda-forge/win-64/pywinpty-2.0.13-py312h275cf98_1.conda
+  sha256: a13cbe4c93ba756b36e85a5972b5902f89cc3a6cb09e8b65a542eb2e7426487a
+  md5: 7e164d22d6403d92b73dcacdeb6a5ff0
   depends:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -12499,142 +11978,172 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pywinpty?source=conda-forge-mapping
-  size: 212261
-  timestamp: 1708995486138
+  - pkg:pypi/pywinpty?source=hash-mapping
+  size: 212342
+  timestamp: 1724951397416
 - kind: conda
   name: pyyaml
-  version: 6.0.1
-  build: py312h02f2b3b_1
+  version: 6.0.2
+  build: py312h024a12e_1
   build_number: 1
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.1-py312h02f2b3b_1.conda
-  sha256: b6b4027b89c17b9bbd8089aec3e44bc29f802a7d5668d5a75b5358d7ed9705ca
-  md5: a0c843e52a1c4422d8657dd76e9eb994
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyyaml-6.0.2-py312h024a12e_1.conda
+  sha256: b06f1c15fb39695bbf707ae8fb554b9a77519af577b5556784534c7db10b52e3
+  md5: 1ee23620cf46cb15900f70a1300bae55
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - __osx >=11.0
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - yaml >=0.2.5,<0.3.0a0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pyyaml?source=conda-forge-mapping
-  size: 182705
-  timestamp: 1695373895409
+  - pkg:pypi/pyyaml?source=hash-mapping
+  size: 187143
+  timestamp: 1725456547263
 - kind: conda
   name: pyyaml
-  version: 6.0.1
-  build: py312h104f124_1
+  version: 6.0.2
+  build: py312h4389bb4_1
   build_number: 1
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.1-py312h104f124_1.conda
-  sha256: 04aa180782cb675b960c0bf4aad439b4a7a08553c6af74d0b8e5df9a0c7cc4f4
-  md5: 260ed90aaf06061edabd7209638cf03b
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.2-py312h4389bb4_1.conda
+  sha256: fa3ede1fa2ed6ea0a51095aeea398f6f0f54af036c4bc525726107cfb49229d5
+  md5: afb7809721516919c276b45f847c085f
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   - yaml >=0.2.5,<0.3.0a0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pyyaml?source=conda-forge-mapping
-  size: 185636
-  timestamp: 1695373742454
+  - pkg:pypi/pyyaml?source=hash-mapping
+  size: 181227
+  timestamp: 1725456516473
 - kind: conda
   name: pyyaml
-  version: 6.0.1
-  build: py312h98912ed_1
+  version: 6.0.2
+  build: py312h66e93f0_1
   build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda
-  sha256: 7f347a10a7121b08d79d21cd4f438c07c23479ea0c74dfb89d6dc416f791bb7f
-  md5: e3fd78d8d490af1d84763b9fe3f2e552
+  url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.2-py312h66e93f0_1.conda
+  sha256: a60705971e958724168f2ebbb8ed4853067f1d3f7059843df3903e3092bbcffa
+  md5: 549e5930e768548a89c23f595dac5a95
   depends:
-  - libgcc-ng >=12
-  - python >=3.12.0rc3,<3.13.0a0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - yaml >=0.2.5,<0.3.0a0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pyyaml?source=conda-forge-mapping
-  size: 196583
-  timestamp: 1695373632212
+  - pkg:pypi/pyyaml?source=hash-mapping
+  size: 206553
+  timestamp: 1725456256213
 - kind: conda
   name: pyyaml
-  version: 6.0.1
-  build: py312he70551f_1
+  version: 6.0.2
+  build: py312hb553811_1
   build_number: 1
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pyyaml-6.0.1-py312he70551f_1.conda
-  sha256: a72fa8152791b4738432f270e70b3a9a4d583ef059a78aa1c62f4b4ab7b15494
-  md5: f91e0baa89ba21166916624ba7bfb422
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/pyyaml-6.0.2-py312hb553811_1.conda
+  sha256: 455ce40588b35df654cb089d29cc3f0d3c78365924ffdfc6ee93dba80cea5f33
+  md5: 66514594817d51c78db7109a23ad322f
   depends:
-  - python >=3.12.0rc3,<3.13.0a0
+  - __osx >=10.13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   - yaml >=0.2.5,<0.3.0a0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/pyyaml?source=conda-forge-mapping
-  size: 167932
-  timestamp: 1695374097139
+  - pkg:pypi/pyyaml?source=hash-mapping
+  size: 189347
+  timestamp: 1725456465705
+- kind: conda
+  name: pyzmq
+  version: 26.2.0
+  build: py312h54d5c6a_2
+  build_number: 2
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.2.0-py312h54d5c6a_2.conda
+  sha256: 6c412ab7f2ff2f112f53888913a9505518789a9c6d39ba9ad57d26a26f1c1b96
+  md5: de7dc71e825ef8745051e1439935a244
+  depends:
+  - __osx >=10.13
+  - libcxx >=17
+  - libsodium >=1.0.20,<1.0.21.0a0
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zeromq >=4.3.5,<4.4.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/pyzmq?source=hash-mapping
+  size: 362401
+  timestamp: 1725449326748
 - kind: conda
   name: pyzmq
-  version: 26.0.3
-  build: py312h8fd38d8_0
+  version: 26.2.0
+  build: py312hbf22597_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda
-  sha256: a3bf1e1af97a256a3a498cc7f2fedb478df18cf629cc9e9aa73a5b4cfc204d45
-  md5: 27efa6d21e98bcab4585a6b913df7625
+  url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.2.0-py312hbf22597_2.conda
+  sha256: a2431644cdef4111f7120565090114f52897e687e83c991bd76a3baef8de77c4
+  md5: 44f46ddfdd01d242d2fff2d69a0d7cba
   depends:
-  - libgcc-ng >=12
-  - libsodium >=1.0.18,<1.0.19.0a0
-  - libstdcxx-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libsodium >=1.0.20,<1.0.21.0a0
+  - libstdcxx >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - zeromq >=4.3.5,<4.4.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pyzmq?source=conda-forge-mapping
-  size: 461684
-  timestamp: 1715024520808
+  - pkg:pypi/pyzmq?source=hash-mapping
+  size: 378667
+  timestamp: 1725449078945
 - kind: conda
   name: pyzmq
-  version: 26.0.3
-  build: py312ha04878a_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyzmq-26.0.3-py312ha04878a_0.conda
-  sha256: 65a17e5cbece9fa2d6df687502bcbe504f0fd906aa02a85b23de5ff55d423926
-  md5: a2a851071ceea5b90391003faf94b203
+  version: 26.2.0
+  build: py312hc6335d2_2
+  build_number: 2
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.2.0-py312hc6335d2_2.conda
+  sha256: 8d46c0f1af50989f308b9da68e6123bc3560f3a3a741b4e7cb8867c603b5a9f1
+  md5: ca61d76f24d66c2938af62e882c9a02d
   depends:
-  - __osx >=10.9
-  - libcxx >=16
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - __osx >=11.0
+  - libcxx >=17
+  - libsodium >=1.0.20,<1.0.21.0a0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   - zeromq >=4.3.5,<4.4.0a0
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pyzmq?source=conda-forge-mapping
-  size: 446747
-  timestamp: 1715024631161
+  - pkg:pypi/pyzmq?source=hash-mapping
+  size: 359594
+  timestamp: 1725449428595
 - kind: conda
   name: pyzmq
-  version: 26.0.3
-  build: py312hd7027bb_0
+  version: 26.2.0
+  build: py312hd7027bb_2
+  build_number: 2
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.0.3-py312hd7027bb_0.conda
-  sha256: 9c13d1300fa5ee9a4c7c8cb14fb70b4ace9f4247318774f306f6123aa4e6e46a
-  md5: 0fc1ec9be7d6274d3e01f6c7908f69e5
+  url: https://conda.anaconda.org/conda-forge/win-64/pyzmq-26.2.0-py312hd7027bb_2.conda
+  sha256: b148a68de6fc13f7d760936f72a240bf49049ded5a55c3b372581a2f1ea83655
+  md5: 4b52a5f41750f313d59704d09120a02f
   depends:
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - libsodium >=1.0.20,<1.0.21.0a0
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   - ucrt >=10.0.20348.0
@@ -12644,124 +12153,174 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/pyzmq?source=conda-forge-mapping
-  size: 445178
-  timestamp: 1715025185530
+  - pkg:pypi/pyzmq?source=hash-mapping
+  size: 360878
+  timestamp: 1725449586300
 - kind: conda
-  name: pyzmq
-  version: 26.0.3
-  build: py312hfa13136_0
+  name: qhull
+  version: '2020.2'
+  build: h3c5361c_5
+  build_number: 5
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/qhull-2020.2-h3c5361c_5.conda
+  sha256: 79d804fa6af9c750e8b09482559814ae18cd8df549ecb80a4873537a5a31e06e
+  md5: dd1ea9ff27c93db7c01a7b7656bd4ad4
+  depends:
+  - __osx >=10.13
+  - libcxx >=16
+  license: LicenseRef-Qhull
+  purls: []
+  size: 528122
+  timestamp: 1720814002588
+- kind: conda
+  name: qhull
+  version: '2020.2'
+  build: h420ef59_5
+  build_number: 5
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyzmq-26.0.3-py312hfa13136_0.conda
-  sha256: 1118ada24f3eb1c90baa1e5e258c70498b7e1a2b5f12212c7789aa3f7504cd82
-  md5: 7c695aab5ee68adbe8a046b73100e13c
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/qhull-2020.2-h420ef59_5.conda
+  sha256: 873ac689484262a51fd79bc6103c1a1bedbf524924d7f0088fb80703042805e4
+  md5: 6483b1f59526e05d7d894e466b5b6924
   depends:
   - __osx >=11.0
   - libcxx >=16
-  - libsodium >=1.0.18,<1.0.19.0a0
-  - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
-  - python_abi 3.12.* *_cp312
-  - zeromq >=4.3.5,<4.4.0a0
-  license: BSD-3-Clause
-  license_family: BSD
-  purls:
-  - pkg:pypi/pyzmq?source=conda-forge-mapping
-  size: 445216
-  timestamp: 1715024704947
+  license: LicenseRef-Qhull
+  purls: []
+  size: 516376
+  timestamp: 1720814307311
+- kind: conda
+  name: qhull
+  version: '2020.2'
+  build: h434a139_5
+  build_number: 5
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda
+  sha256: 776363493bad83308ba30bcb88c2552632581b143e8ee25b1982c8c743e73abc
+  md5: 353823361b1d27eb3960efb076dfcaf6
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  license: LicenseRef-Qhull
+  purls: []
+  size: 552937
+  timestamp: 1720813982144
+- kind: conda
+  name: qhull
+  version: '2020.2'
+  build: hc790b64_5
+  build_number: 5
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/qhull-2020.2-hc790b64_5.conda
+  sha256: 887d53486a37bd870da62b8fa2ebe3993f912ad04bd755e7ed7c47ced97cbaa8
+  md5: 854fbdff64b572b5c0b470f334d34c11
+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: LicenseRef-Qhull
+  purls: []
+  size: 1377020
+  timestamp: 1720814433486
 - kind: conda
-  name: qt-main
-  version: 5.15.8
-  build: hc9dc06e_21
-  build_number: 21
+  name: qt6-main
+  version: 6.7.2
+  build: hb12f9c5_5
+  build_number: 5
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/qt-main-5.15.8-hc9dc06e_21.conda
-  sha256: 6b4594f6f2fad65a7ed52993f602e3ab183193755fe4a492aaa48e463b23105b
-  md5: b325046180590c868ce0dbf267b82eb8
+  url: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.7.2-hb12f9c5_5.conda
+  sha256: 712c5e6fef0b121bd62d941f8e11fff2ac5e1b36b7af570f4465f51e14193104
+  md5: 8c662388c2418f293266f5e7f50df7d7
   depends:
   - __glibc >=2.17,<3.0.a0
-  - alsa-lib >=1.2.11,<1.3.0a0
+  - alsa-lib >=1.2.12,<1.3.0a0
   - dbus >=1.13.6,<2.0a0
+  - double-conversion >=3.3.0,<3.4.0a0
   - fontconfig >=2.14.2,<3.0a0
   - fonts-conda-ecosystem
   - freetype >=2.12.1,<3.0a0
-  - gst-plugins-base >=1.24.1,<1.25.0a0
-  - gstreamer >=1.24.1,<1.25.0a0
-  - harfbuzz >=8.3.0,<9.0a0
-  - icu >=73.2,<74.0a0
-  - krb5 >=1.21.2,<1.22.0a0
-  - libclang-cpp15 >=15.0.7,<15.1.0a0
-  - libclang13 >=15.0.7
+  - harfbuzz >=9.0.0,<10.0a0
+  - icu >=75.1,<76.0a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libclang-cpp18.1 >=18.1.8,<18.2.0a0
+  - libclang13 >=18.1.8
   - libcups >=2.3.3,<2.4.0a0
-  - libevent >=2.1.12,<2.1.13.0a0
-  - libexpat >=2.6.2,<3.0a0
+  - libdrm >=2.4.122,<2.5.0a0
+  - libegl >=1.7.0,<2.0a0
   - libgcc-ng >=12
-  - libglib >=2.80.0,<3.0a0
+  - libgl >=1.7.0,<2.0a0
+  - libglib >=2.80.3,<3.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
-  - libllvm15 >=15.0.7,<15.1.0a0
+  - libllvm18 >=18.1.8,<18.2.0a0
   - libpng >=1.6.43,<1.7.0a0
-  - libpq >=16.2,<17.0a0
-  - libsqlite >=3.45.2,<4.0a0
+  - libpq >=16.4,<17.0a0
+  - libsqlite >=3.46.0,<4.0a0
   - libstdcxx-ng >=12
-  - libxcb >=1.15,<1.16.0a0
+  - libtiff >=4.6.0,<4.7.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libxcb >=1.16,<1.17.0a0
   - libxkbcommon >=1.7.0,<2.0a0
-  - libxml2 >=2.12.6,<3.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - mysql-libs >=8.3.0,<8.4.0a0
-  - nspr >=4.35,<5.0a0
-  - nss >=3.98,<4.0a0
-  - openssl >=3.2.1,<4.0a0
-  - pulseaudio-client >=17.0,<17.1.0a0
-  - xcb-util >=0.4.0,<0.5.0a0
+  - libxml2 >=2.12.7,<3.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - mysql-libs >=9.0.1,<9.1.0a0
+  - openssl >=3.3.1,<4.0a0
+  - pcre2 >=10.44,<10.45.0a0
+  - wayland >=1.23.0,<2.0a0
+  - xcb-util >=0.4.1,<0.5.0a0
+  - xcb-util-cursor >=0.1.4,<0.2.0a0
   - xcb-util-image >=0.4.0,<0.5.0a0
-  - xcb-util-keysyms >=0.4.0,<0.5.0a0
-  - xcb-util-renderutil >=0.3.9,<0.4.0a0
-  - xcb-util-wm >=0.4.1,<0.5.0a0
+  - xcb-util-keysyms >=0.4.1,<0.5.0a0
+  - xcb-util-renderutil >=0.3.10,<0.4.0a0
+  - xcb-util-wm >=0.4.2,<0.5.0a0
   - xorg-libice >=1.1.1,<2.0a0
   - xorg-libsm >=1.2.4,<2.0a0
   - xorg-libx11 >=1.8.9,<2.0a0
   - xorg-libxext >=1.3.4,<2.0a0
-  - xorg-xf86vidmodeproto
-  - zstd >=1.5.5,<1.6.0a0
+  - xorg-libxtst >=1.2.5,<2.0a0
+  - xorg-libxxf86vm >=1.1.5,<2.0a0
+  - zstd >=1.5.6,<1.6.0a0
   constrains:
-  - qt 5.15.8
+  - qt 6.7.2
   license: LGPL-3.0-only
   license_family: LGPL
   purls: []
-  size: 61305384
-  timestamp: 1712549380352
+  size: 46904534
+  timestamp: 1724536870579
 - kind: conda
-  name: qt-main
-  version: 5.15.8
-  build: hcef0176_21
-  build_number: 21
+  name: qt6-main
+  version: 6.7.2
+  build: hbb46ec1_5
+  build_number: 5
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/qt-main-5.15.8-hcef0176_21.conda
-  sha256: 7eb717efea95fb0f8384f7c59b709dbe3c7a2c1fabca60c8792760211c430251
-  md5: 76544d3dfeff8fd52250df168cb0005b
-  depends:
-  - gst-plugins-base >=1.24.1,<1.25.0a0
-  - gstreamer >=1.24.1,<1.25.0a0
-  - icu >=73.2,<74.0a0
-  - krb5 >=1.21.2,<1.22.0a0
-  - libclang13 >=15.0.7
-  - libglib >=2.80.0,<3.0a0
+  url: https://conda.anaconda.org/conda-forge/win-64/qt6-main-6.7.2-hbb46ec1_5.conda
+  sha256: 23d5e8864e9957c00546be554171e3c4415a7e0670870bd361db8e28e0be716e
+  md5: e14fa5fe2da0bf8cc30d06314ce6ce33
+  depends:
+  - double-conversion >=3.3.0,<3.4.0a0
+  - harfbuzz >=9.0.0,<10.0a0
+  - icu >=75.1,<76.0a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libclang13 >=18.1.8
+  - libglib >=2.80.3,<3.0a0
   - libjpeg-turbo >=3.0.0,<4.0a0
   - libpng >=1.6.43,<1.7.0a0
-  - libsqlite >=3.45.2,<4.0a0
-  - libzlib >=1.2.13,<2.0.0a0
-  - openssl >=3.2.1,<4.0a0
+  - libsqlite >=3.46.0,<4.0a0
+  - libtiff >=4.6.0,<4.7.0a0
+  - libwebp-base >=1.4.0,<2.0a0
+  - libzlib >=1.3.1,<2.0a0
+  - openssl >=3.3.1,<4.0a0
+  - pcre2 >=10.44,<10.45.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
-  - zstd >=1.5.5,<1.6.0a0
+  - zstd >=1.5.6,<1.6.0a0
   constrains:
-  - qt 5.15.8
+  - qt 6.7.2
   license: LGPL-3.0-only
   license_family: LGPL
   purls: []
-  size: 59806644
-  timestamp: 1712551057454
+  size: 85902078
+  timestamp: 1724537977958
 - kind: conda
   name: re2
   version: 2023.09.01
@@ -12875,7 +12434,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/referencing?source=conda-forge-mapping
+  - pkg:pypi/referencing?source=hash-mapping
   size: 42210
   timestamp: 1714619625532
 - kind: conda
@@ -12898,7 +12457,7 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/requests?source=conda-forge-mapping
+  - pkg:pypi/requests?source=hash-mapping
   size: 58810
   timestamp: 1717057174842
 - kind: conda
@@ -12916,7 +12475,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rfc3339-validator?source=conda-forge-mapping
+  - pkg:pypi/rfc3339-validator?source=hash-mapping
   size: 8064
   timestamp: 1638811838081
 - kind: conda
@@ -12933,88 +12492,95 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rfc3986-validator?source=conda-forge-mapping
+  - pkg:pypi/rfc3986-validator?source=hash-mapping
   size: 7818
   timestamp: 1598024297745
 - kind: conda
   name: rpds-py
-  version: 0.18.1
-  build: py312h2615798_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.18.1-py312h2615798_0.conda
-  sha256: 5fac4eb59d4117f0e2e73d704d06d2da9e6260f44b27ea57fe179cfe442effd0
-  md5: ae3a65ba0fd5bcff4ba65ab57818ef79
+  version: 0.20.0
+  build: py312h12e396e_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.20.0-py312h12e396e_1.conda
+  sha256: c1b876198b565af674e3cbc66d872791e09d6b10ca2c663b1cec40517f836509
+  md5: 9ae193ac9c1ead5024d5a4ee0024e9a6
   depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  constrains:
+  - __glibc >=2.17
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rpds-py?source=conda-forge-mapping
-  size: 206318
-  timestamp: 1715090984368
+  - pkg:pypi/rpds-py?source=hash-mapping
+  size: 334627
+  timestamp: 1725327239912
 - kind: conda
   name: rpds-py
-  version: 0.18.1
-  build: py312h4413252_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda
-  sha256: 31891fb09afbe5263f0526388758f65e43ad9b7b3ccd75f791df55782667a8d1
-  md5: 73da42918aaeb87d5618f82e2ac18d1f
+  version: 0.20.0
+  build: py312h2615798_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/rpds-py-0.20.0-py312h2615798_1.conda
+  sha256: c33ac1e86925563c8b119a059111fe13196d8786ec1dea144c35737e620db283
+  md5: 3346e30a5df4a407f0426646dc35ccd6
   depends:
-  - libgcc-ng >=12
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rpds-py?source=conda-forge-mapping
-  size: 922258
-  timestamp: 1715090163612
+  - pkg:pypi/rpds-py?source=hash-mapping
+  size: 209063
+  timestamp: 1725327883530
 - kind: conda
   name: rpds-py
-  version: 0.18.1
-  build: py312h552d48e_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.18.1-py312h552d48e_0.conda
-  sha256: 765dd251b7fa3ba51cd2e5b2f9412372315d54a488334fb139445f04da570892
-  md5: a757322ddc8be67f7932a60aa7af13d9
+  version: 0.20.0
+  build: py312h669792a_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.20.0-py312h669792a_1.conda
+  sha256: 096a81dfd970f616cf882f75d7f953e0529af956c8a929ac0f30033dec27f92e
+  md5: b5c33da663aab65eec94188effd0ebee
   depends:
-  - __osx >=11.0
+  - __osx >=10.13
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
-  - __osx >=11.0
+  - __osx >=10.13
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rpds-py?source=conda-forge-mapping
-  size: 296261
-  timestamp: 1715090399807
+  - pkg:pypi/rpds-py?source=hash-mapping
+  size: 299893
+  timestamp: 1725327367863
 - kind: conda
   name: rpds-py
-  version: 0.18.1
-  build: py312ha47ea1c_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/rpds-py-0.18.1-py312ha47ea1c_0.conda
-  sha256: c9bdd953b66f0de03aace310f20a38f9c06ec781a9a0be764904e338c3811712
-  md5: 9d10e9eb2ad2eba2f7c01150c8c2a908
+  version: 0.20.0
+  build: py312he431725_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/rpds-py-0.20.0-py312he431725_1.conda
+  sha256: 2d9a484f01c15644d2ae22d7ccc3f77697f0b0cfb35f3caa03ae36dda9e7ad9d
+  md5: 50ee5ea6188046514d7ad107c6bbd4ef
   depends:
-  - __osx >=10.13
+  - __osx >=11.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
-  - __osx >=10.12
+  - __osx >=11.0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/rpds-py?source=conda-forge-mapping
-  size: 300350
-  timestamp: 1715090344206
+  - pkg:pypi/rpds-py?source=hash-mapping
+  size: 291984
+  timestamp: 1725327553881
 - kind: conda
   name: scipy
   version: 1.13.0
@@ -13033,7 +12599,7 @@ packages:
   - libgfortran5 >=12.3.0
   - libgfortran5 >=13.2.0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy >=1.22.4,<2.3
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python >=3.12,<3.13.0a0 *_cpython
@@ -13041,7 +12607,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/scipy?source=conda-forge-mapping
+  - pkg:pypi/scipy?source=hash-mapping
   size: 15463654
   timestamp: 1714796323448
 - kind: conda
@@ -13057,7 +12623,7 @@ packages:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy >=1.22.4,<2.3
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -13067,7 +12633,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/scipy?source=conda-forge-mapping
+  - pkg:pypi/scipy?source=hash-mapping
   size: 15724699
   timestamp: 1714796084904
 - kind: conda
@@ -13088,14 +12654,14 @@ packages:
   - libgfortran5 >=12.3.0
   - libgfortran5 >=13.2.0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy >=1.22.4,<2.3
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/scipy?source=conda-forge-mapping
+  - pkg:pypi/scipy?source=hash-mapping
   size: 16373881
   timestamp: 1714795989222
 - kind: conda
@@ -13115,14 +12681,14 @@ packages:
   - libgfortran5 >=12.3.0
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx-ng >=12
-  - numpy <2.3
+  - numpy >=1.22.4,<2.3
   - numpy >=1.19,<3
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/scipy?source=conda-forge-mapping
+  - pkg:pypi/scipy?source=hash-mapping
   size: 17333402
   timestamp: 1714795102913
 - kind: conda
@@ -13140,7 +12706,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/send2trash?source=conda-forge-mapping
+  - pkg:pypi/send2trash?source=hash-mapping
   size: 22868
   timestamp: 1712585140895
 - kind: conda
@@ -13159,7 +12725,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/send2trash?source=conda-forge-mapping
+  - pkg:pypi/send2trash?source=hash-mapping
   size: 23165
   timestamp: 1712585504123
 - kind: conda
@@ -13178,71 +12744,26 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/send2trash?source=conda-forge-mapping
+  - pkg:pypi/send2trash?source=hash-mapping
   size: 23319
   timestamp: 1712585816346
 - kind: conda
   name: setuptools
-  version: 70.0.0
+  version: 73.0.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
-  sha256: daa4638d288cfdf3b0ecea395d8efa25cafc4ebf4026464a36c797c84541d2be
-  md5: c8ddb4f34a208df4dd42509a0f6a1c89
+  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-73.0.1-pyhd8ed1ab_0.conda
+  sha256: c9f5e110e3fe5a7c4cd5b9da445c05a1fae000b43ab3a97cb6a501f4267515fc
+  md5: f0b618d7673d1b2464f600b34d912f6f
   depends:
   - python >=3.8
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/setuptools?source=conda-forge-mapping
-  size: 483015
-  timestamp: 1716368141661
-- kind: conda
-  name: sip
-  version: 6.7.12
-  build: py312h30efb56_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py312h30efb56_0.conda
-  sha256: baf6e63e213bb11e369a51e511b44217546a11f8470242bbaa8fac45cb4a39c3
-  md5: 32633871002ee9902f747d2236e0d122
-  depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - packaging
-  - ply
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - tomli
-  license: GPL-3.0-only
-  license_family: GPL
-  purls:
-  - pkg:pypi/sip?source=conda-forge-mapping
-  size: 576283
-  timestamp: 1697300599736
-- kind: conda
-  name: sip
-  version: 6.7.12
-  build: py312h53d5487_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/sip-6.7.12-py312h53d5487_0.conda
-  sha256: 2347c2e7d5e7282b991d5d4f7448d9e6fe8c26e5d6df0d09f0e60b11b7d19586
-  md5: a5d3d1363d6d0b4827d6b940414a5b76
-  depends:
-  - packaging
-  - ply
-  - python >=3.12,<3.13.0a0
-  - python_abi 3.12.* *_cp312
-  - tomli
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: GPL-3.0-only
-  license_family: GPL
-  purls:
-  - pkg:pypi/sip?source=conda-forge-mapping
-  size: 589657
-  timestamp: 1697301028797
+  - pkg:pypi/setuptools?source=hash-mapping
+  size: 1460460
+  timestamp: 1725348602179
 - kind: conda
   name: six
   version: 1.16.0
@@ -13257,7 +12778,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/six?source=conda-forge-mapping
+  - pkg:pypi/six?source=hash-mapping
   size: 14259
   timestamp: 1620240338595
 - kind: conda
@@ -13275,7 +12796,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/snakeviz?source=conda-forge-mapping
+  - pkg:pypi/snakeviz?source=hash-mapping
   size: 171161
   timestamp: 1682336626654
 - kind: conda
@@ -13292,7 +12813,7 @@ packages:
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/sniffio?source=conda-forge-mapping
+  - pkg:pypi/sniffio?source=hash-mapping
   size: 15064
   timestamp: 1708953086199
 - kind: conda
@@ -13310,7 +12831,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/soupsieve?source=conda-forge-mapping
+  - pkg:pypi/soupsieve?source=hash-mapping
   size: 36754
   timestamp: 1693929424267
 - kind: conda
@@ -13330,64 +12851,70 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/stack-data?source=conda-forge-mapping
+  - pkg:pypi/stack-data?source=hash-mapping
   size: 26205
   timestamp: 1669632203115
 - kind: conda
   name: sysroot_linux-64
-  version: '2.28'
-  build: he073ed8_2
-  build_number: 2
+  version: '2.17'
+  build: h4a8ded7_16
+  build_number: 16
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.28-he073ed8_2.conda
-  sha256: 4d22ee85398cef1da379ef913a6232bafc0c412b1b4ce8ed9c5fd9d8c6d9d3a8
-  md5: 32efe63453c3561a03e915a7829c2bb1
+  url: https://conda.anaconda.org/conda-forge/noarch/sysroot_linux-64-2.17-h4a8ded7_16.conda
+  sha256: b892b0b9c6dc8efe8b9b5442597d1ab8d65c0dc7e4e5a80f822cbdf0a639bd77
+  md5: 223fe8a3ff6d5e78484a9d58eb34d055
   depends:
   - _sysroot_linux-64_curr_repodata_hack 3.*
-  - kernel-headers_linux-64 4.18.0 he073ed8_2
-  track_features:
-  - sysroot_linux-64_2.28 sysroot_linux-64_2.28_feature_2
+  - kernel-headers_linux-64 3.10.0 h4a8ded7_16
+  - tzdata
   license: LGPL-2.0-or-later AND LGPL-2.0-or-later WITH exceptions AND GPL-2.0-or-later AND MPL-2.0
   license_family: GPL
   purls: []
-  size: 26421592
-  timestamp: 1711086612058
+  size: 15513240
+  timestamp: 1720621429816
+- kind: pypi
+  name: tabcompleter
+  version: 1.3.3
+  url: https://files.pythonhosted.org/packages/88/49/4483a16bf846a75d5999c7a54ad16b7b87a95bca77b3b5d5497f72c4e753/tabcompleter-1.3.3-py3-none-any.whl
+  sha256: 0fb8781075608ff4752d7c7f104d8baaf8b3955cd762e333b813a94fe3d80b96
+  requires_dist:
+  - pyreadline3 ; platform_system == 'Windows'
+  requires_python: '>=3.7'
 - kind: conda
   name: tbb
-  version: 2021.12.0
-  build: hc790b64_1
-  build_number: 1
+  version: 2021.13.0
+  build: hc790b64_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.12.0-hc790b64_1.conda
-  sha256: 87461c83a4f0d4f119af7368f20c47bbe0c27d963a7c22a3d08c71075077f855
-  md5: e98333643abc739ebea1bac97a479828
+  url: https://conda.anaconda.org/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
+  sha256: 990dbe4fb42f14700c22bd434d8312607bf8d0bd9f922b054e51fda14c41994c
+  md5: 28496a1e6af43c63927da4f80260348d
   depends:
-  - libhwloc >=2.10.0,<2.10.1.0a0
+  - libhwloc >=2.11.1,<2.11.2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: Apache-2.0
-  license_family: APACHE
   purls: []
-  size: 161771
-  timestamp: 1716031112705
+  size: 151494
+  timestamp: 1725532984828
 - kind: conda
   name: tenacity
-  version: 8.4.1
+  version: 9.0.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/tenacity-8.4.1-pyhd8ed1ab_0.conda
-  sha256: aa0c9862d3c0e31fc2e37c7987fd82af538ce64064f2056d3105dcee070f531f
-  md5: 2fcb668e39c694ece9a7748e3fad1a7e
+  url: https://conda.anaconda.org/conda-forge/noarch/tenacity-9.0.0-pyhd8ed1ab_0.conda
+  sha256: 0d33171e1d303b57867f0cfcffb8a35031700acb3c52b1862064d8f4e1085538
+  md5: 42af51ad3b654ece73572628ad2882ae
   depends:
   - python >=3.8
   license: Apache-2.0
+  license_family: APACHE
   purls:
-  - pkg:pypi/tenacity?source=conda-forge-mapping
-  size: 24717
-  timestamp: 1718647291241
+  - pkg:pypi/tenacity?source=hash-mapping
+  size: 24683
+  timestamp: 1722278974784
 - kind: conda
   name: terminado
   version: 0.18.1
@@ -13405,7 +12932,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/terminado?source=conda-forge-mapping
+  - pkg:pypi/terminado?source=hash-mapping
   size: 22452
   timestamp: 1710262728753
 - kind: conda
@@ -13425,7 +12952,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/terminado?source=conda-forge-mapping
+  - pkg:pypi/terminado?source=hash-mapping
   size: 22717
   timestamp: 1710265922593
 - kind: conda
@@ -13445,7 +12972,7 @@ packages:
   license: BSD-2-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/terminado?source=conda-forge-mapping
+  - pkg:pypi/terminado?source=hash-mapping
   size: 22883
   timestamp: 1710262943966
 - kind: conda
@@ -13463,7 +12990,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/tinycss2?source=conda-forge-mapping
+  - pkg:pypi/tinycss2?source=hash-mapping
   size: 25405
   timestamp: 1713975078735
 - kind: conda
@@ -13476,7 +13003,7 @@ packages:
   sha256: 30412b2e9de4ff82d8c2a7e5d06a15f4f4fef1809a72138b6ccb53a33b26faf5
   md5: bf830ba5afc507c6232d4ef0fb1a882d
   depends:
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   license: TCL
   license_family: BSD
   purls: []
@@ -13492,7 +13019,7 @@ packages:
   sha256: 72457ad031b4c048e5891f3f6cb27a53cb479db68a52d965f796910e71a403a8
   md5: b50a57ba89c32b62428b71a875291c9b
   depends:
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   license: TCL
   license_family: BSD
   purls: []
@@ -13527,7 +13054,7 @@ packages:
   md5: d453b98d9c83e71da0741bb0ff4d76bc
   depends:
   - libgcc-ng >=12
-  - libzlib >=1.2.13,<1.3.0a0
+  - libzlib >=1.2.13,<2.0.0a0
   license: TCL
   license_family: BSD
   purls: []
@@ -13547,7 +13074,7 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/toml?source=conda-forge-mapping
+  - pkg:pypi/toml?source=hash-mapping
   size: 18433
   timestamp: 1604308660817
 - kind: conda
@@ -13564,82 +13091,89 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/tomli?source=conda-forge-mapping
+  - pkg:pypi/tomli?source=hash-mapping
   size: 15940
   timestamp: 1644342331069
 - kind: conda
   name: tornado
-  version: '6.4'
-  build: py312h41838bb_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4-py312h41838bb_0.conda
-  sha256: 558f50290a25d8da6071a8e951b2b0c2ef77f457254438fa7c19cb9ee9f5d952
-  md5: 2d2d1fde5800d45cb56218583156d23d
+  version: 6.4.1
+  build: py312h024a12e_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4.1-py312h024a12e_1.conda
+  sha256: 5eefede1d8a2f55892bc582dbcb574b1806f19bc1e3939ce56b79721b9406db7
+  md5: 967bc97bb9e258993289546479af971f
   depends:
+  - __osx >=11.0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/tornado?source=conda-forge-mapping
-  size: 840576
-  timestamp: 1708363459702
+  - pkg:pypi/tornado?source=hash-mapping
+  size: 841722
+  timestamp: 1724956439106
 - kind: conda
   name: tornado
-  version: '6.4'
-  build: py312h98912ed_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4-py312h98912ed_0.conda
-  sha256: 5764795df60bd9fdbe54ec6df20ef2a94507b2a22b29be899b78745383bafab3
-  md5: e8332e534dca8c5c12c8352e0a23501c
+  version: 6.4.1
+  build: py312h4389bb4_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4.1-py312h4389bb4_1.conda
+  sha256: 79a4155e4700aa188d6de36ed65b2923527864ad775bb156ed0a4067619e8ee0
+  md5: e278437965b2420d567ba11b579668bc
   depends:
-  - libgcc-ng >=12
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/tornado?source=conda-forge-mapping
-  size: 840527
-  timestamp: 1708363299520
+  - pkg:pypi/tornado?source=hash-mapping
+  size: 841567
+  timestamp: 1724956763418
 - kind: conda
   name: tornado
-  version: '6.4'
-  build: py312he37b823_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/tornado-6.4-py312he37b823_0.conda
-  sha256: 28495954c50ce9034fedf0a528c6f265c72aa3176eb16d3c054ec3cd7b6b28f0
-  md5: a081e28c706477c8158f0432cc67c849
+  version: 6.4.1
+  build: py312h66e93f0_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h66e93f0_1.conda
+  sha256: c0c9cc7834e8f43702956afaa5af7b0639c4835c285108a43e6b91687ce53ab8
+  md5: af648b62462794649066366af4ecd5b0
   depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/tornado?source=conda-forge-mapping
-  size: 840705
-  timestamp: 1708363705502
+  - pkg:pypi/tornado?source=hash-mapping
+  size: 837665
+  timestamp: 1724956252424
 - kind: conda
   name: tornado
-  version: '6.4'
-  build: py312he70551f_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/tornado-6.4-py312he70551f_0.conda
-  sha256: 0ebb1cd17f63f47262c42114a2b0af2b8d0bc19b0ae52e90e312a77ff7c55270
-  md5: 98907504f8c3eb0452bb10362227ce16
+  version: 6.4.1
+  build: py312hb553811_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/tornado-6.4.1-py312hb553811_1.conda
+  sha256: 67711e308059fd4fd9ce2389b155ffcc52723d202b78cdfa01e7d6a3d42725b5
+  md5: 479bb06cef210f968f20866277acd8b9
   depends:
+  - __osx >=10.13
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: Apache-2.0
   license_family: Apache
   purls:
-  - pkg:pypi/tornado?source=conda-forge-mapping
-  size: 844146
-  timestamp: 1708363742639
+  - pkg:pypi/tornado?source=hash-mapping
+  size: 841028
+  timestamp: 1724956347530
 - kind: conda
   name: traitlets
   version: 5.14.3
@@ -13654,25 +13188,25 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/traitlets?source=conda-forge-mapping
+  - pkg:pypi/traitlets?source=hash-mapping
   size: 110187
   timestamp: 1713535244513
 - kind: conda
   name: types-python-dateutil
-  version: 2.9.0.20240316
+  version: 2.9.0.20240906
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240316-pyhd8ed1ab_0.conda
-  sha256: 6630bbc43dfb72339fadafc521db56c9d17af72bfce459af195eecb01163de20
-  md5: 7831efa91d57475373ee52fb92e8d137
+  url: https://conda.anaconda.org/conda-forge/noarch/types-python-dateutil-2.9.0.20240906-pyhd8ed1ab_0.conda
+  sha256: 737fecb4b6f85a6a85f3fff6cdf5e90c5922b468e036b98f6c1559780cb79664
+  md5: 07c483202a209cd23594b62b3451045e
   depends:
   - python >=3.6
   license: Apache-2.0 AND MIT
   purls:
-  - pkg:pypi/types-python-dateutil?source=conda-forge-mapping
-  size: 21769
-  timestamp: 1710590028155
+  - pkg:pypi/types-python-dateutil?source=hash-mapping
+  size: 21789
+  timestamp: 1725623878468
 - kind: conda
   name: types-pytz
   version: 2024.1.0.20240417
@@ -13686,42 +13220,42 @@ packages:
   - python >=3.6
   license: Apache-2.0 AND MIT
   purls:
-  - pkg:pypi/types-pytz?source=conda-forge-mapping
+  - pkg:pypi/types-pytz?source=hash-mapping
   size: 18725
   timestamp: 1713337633292
 - kind: conda
   name: typing-extensions
-  version: 4.11.0
+  version: 4.12.2
   build: hd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.11.0-hd8ed1ab_0.conda
-  sha256: aecbd9c601ba5a6c128da8975276fd817b968a9edc969b7ae97aee76e80a14a6
-  md5: 471e3988f8ca5e9eb3ce6be7eac3bcee
+  url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
+  sha256: d3b9a8ed6da7c9f9553c5fd8a4fca9c3e0ab712fa5f497859f82337d67533b73
+  md5: 52d648bd608f5737b123f510bb5514b5
   depends:
-  - typing_extensions 4.11.0 pyha770c72_0
+  - typing_extensions 4.12.2 pyha770c72_0
   license: PSF-2.0
   license_family: PSF
   purls: []
-  size: 10093
-  timestamp: 1712330094282
+  size: 10097
+  timestamp: 1717802659025
 - kind: conda
   name: typing_extensions
-  version: 4.11.0
+  version: 4.12.2
   build: pyha770c72_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.11.0-pyha770c72_0.conda
-  sha256: a7e8714d14f854058e971a6ed44f18cc37cc685f98ddefb2e6b7899a0cc4d1a2
-  md5: 6ef2fc37559256cf682d8b3375e89b80
+  url: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
+  sha256: 0fce54f8ec3e59f5ef3bb7641863be4e1bf1279623e5af3d3fa726e8f7628ddb
+  md5: ebe6952715e1d5eb567eeebf25250fa7
   depends:
   - python >=3.8
   license: PSF-2.0
   license_family: PSF
   purls:
-  - pkg:pypi/typing-extensions?source=conda-forge-mapping
-  size: 37583
-  timestamp: 1712330089194
+  - pkg:pypi/typing-extensions?source=hash-mapping
+  size: 39888
+  timestamp: 1717802653893
 - kind: conda
   name: typing_utils
   version: 0.1.0
@@ -13736,7 +13270,7 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/typing-utils?source=conda-forge-mapping
+  - pkg:pypi/typing-utils?source=hash-mapping
   size: 13829
   timestamp: 1622899345711
 - kind: pypi
@@ -13748,16 +13282,17 @@ packages:
 - kind: conda
   name: tzdata
   version: 2024a
-  build: h0c530f3_0
+  build: h8827d51_1
+  build_number: 1
   subdir: noarch
   noarch: generic
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda
-  sha256: 7b2b69c54ec62a243eb6fba2391b5e443421608c3ae5dbff938ad33ca8db5122
-  md5: 161081fc7cec0bfda0d86d7cb595f8d8
+  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h8827d51_1.conda
+  sha256: 7d21c95f61319dba9209ca17d1935e6128af4235a67ee4e57a00908a1450081e
+  md5: 8bfdead4e0fff0383ae4c9c50d0531bd
   license: LicenseRef-Public-Domain
   purls: []
-  size: 119815
-  timestamp: 1706886945727
+  size: 124164
+  timestamp: 1724736371498
 - kind: conda
   name: ucrt
   version: 10.0.22621.0
@@ -13776,87 +13311,90 @@ packages:
 - kind: conda
   name: ukkonen
   version: 1.0.1
-  build: py312h0d7def4_4
-  build_number: 4
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312h0d7def4_4.conda
-  sha256: f5f7550991ca647f69b67b9188c7104a3456122611dd6a6e753cff555e45dfd9
-  md5: 57cfbb8ce3a1800bd343bf6afba6f878
+  build: py312h6142ec9_5
+  build_number: 5
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h6142ec9_5.conda
+  sha256: 1e4452b4a12d8a69c237f14b876fbf0cdc456914170b49ba805779c749c31eca
+  md5: 2b485a809d1572cbe7f0ad9ee107e4b0
   depends:
+  - __osx >=11.0
   - cffi
-  - python >=3.12.0rc3,<3.13.0a0
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/ukkonen?source=conda-forge-mapping
-  size: 17235
-  timestamp: 1695549871621
+  - pkg:pypi/ukkonen?source=hash-mapping
+  size: 13605
+  timestamp: 1725784243533
 - kind: conda
   name: ukkonen
   version: 1.0.1
-  build: py312h389731b_4
-  build_number: 4
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py312h389731b_4.conda
-  sha256: 7336cf66feba973207f4903c20b05c3c82e351246df4b6113f72d92b9ee55b81
-  md5: 6407429e0969b58b8717dbb4c6c15513
+  build: py312h68727a3_5
+  build_number: 5
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h68727a3_5.conda
+  sha256: 9fb020083a7f4fee41f6ece0f4840f59739b3e249f157c8a407bb374ffb733b5
+  md5: f9664ee31aed96c85b7319ab0a693341
   depends:
+  - __glibc >=2.17,<3.0.a0
   - cffi
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
-  - python >=3.12.0rc3,<3.13.0a0 *_cpython
+  - libgcc >=13
+  - libstdcxx >=13
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/ukkonen?source=conda-forge-mapping
-  size: 13948
-  timestamp: 1695549890285
+  - pkg:pypi/ukkonen?source=hash-mapping
+  size: 13904
+  timestamp: 1725784191021
 - kind: conda
   name: ukkonen
   version: 1.0.1
-  build: py312h49ebfd2_4
-  build_number: 4
+  build: py312hc5c4d5f_5
+  build_number: 5
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312h49ebfd2_4.conda
-  sha256: efca19a5e73e4aacfc5e90a5389272b2508e41dc4adab9eb5353c5200ba37041
-  md5: 4e6b5a8025cd8fd97b3cfe103ffce6b1
+  url: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py312hc5c4d5f_5.conda
+  sha256: f6433143294c1ca52410bf8bbca6029a04f2061588d32e6d2b67c7fd886bc4e0
+  md5: f270aa502d8817e9cb3eb33541f78418
   depends:
+  - __osx >=10.13
   - cffi
-  - libcxx >=15.0.7
-  - python >=3.12.0rc3,<3.13.0a0
+  - libcxx >=17
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/ukkonen?source=conda-forge-mapping
-  size: 13246
-  timestamp: 1695549689363
+  - pkg:pypi/ukkonen?source=hash-mapping
+  size: 13031
+  timestamp: 1725784199719
 - kind: conda
   name: ukkonen
   version: 1.0.1
-  build: py312h8572e83_4
-  build_number: 4
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py312h8572e83_4.conda
-  sha256: f9a4384d466f4d8b5b497d951329dd4407ebe02f8f93456434e9ab789d6e23ce
-  md5: 52c9e25ee0a32485a102eeecdb7eef52
+  build: py312hd5eb7cc_5
+  build_number: 5
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py312hd5eb7cc_5.conda
+  sha256: f1944f3d9645a6fa2770966ff010791136e7ce0eaa0c751822b812ac04fee7d6
+  md5: d8c5ef1991a5121de95ea8e44c34e13a
   depends:
   - cffi
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - python >=3.12.0rc3,<3.13.0a0
+  - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/ukkonen?source=conda-forge-mapping
-  size: 14050
-  timestamp: 1695549556745
+  - pkg:pypi/ukkonen?source=hash-mapping
+  size: 17213
+  timestamp: 1725784449622
 - kind: conda
   name: uri-template
   version: 1.3.0
@@ -13871,100 +13409,121 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/uri-template?source=conda-forge-mapping
+  - pkg:pypi/uri-template?source=hash-mapping
   size: 23999
   timestamp: 1688655976471
 - kind: conda
   name: urllib3
-  version: 2.2.1
-  build: pyhd8ed1ab_0
+  version: 2.2.2
+  build: pyhd8ed1ab_1
+  build_number: 1
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-  sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd
-  md5: 08807a87fa7af10754d46f63b368e016
+  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_1.conda
+  sha256: 00c47c602c03137e7396f904eccede8cc64cc6bad63ce1fc355125df8882a748
+  md5: e804c43f58255e977093a2298e442bb8
   depends:
   - brotli-python >=1.0.9
+  - h2 >=4,<5
   - pysocks >=1.5.6,<2.0,!=1.5.7
-  - python >=3.7
+  - python >=3.8
+  - zstandard >=0.18.0
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/urllib3?source=conda-forge-mapping
-  size: 94669
-  timestamp: 1708239595549
+  - pkg:pypi/urllib3?source=hash-mapping
+  size: 95048
+  timestamp: 1719391384778
 - kind: conda
   name: vc
   version: '14.3'
-  build: ha32ba9b_20
+  build: h8a93ad2_20
   build_number: 20
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-ha32ba9b_20.conda
-  sha256: 16cb562ce210ee089060f4aa52f3225a571c83885632a870ea2297d460e3bb00
-  md5: 2abfb5cb1b9d41a50f765d60f0be563d
+  url: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h8a93ad2_20.conda
+  sha256: 23ac5feb15a9adf3ab2b8c4dcd63650f8b7ae860c5ceb073e49cf71d203eddef
+  md5: 8558f367e1d7700554f7cdb823c46faf
   depends:
-  - vc14_runtime >=14.38.33135
+  - vc14_runtime >=14.40.33810
   track_features:
   - vc14
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 17122
-  timestamp: 1716231244564
+  size: 17391
+  timestamp: 1717709040616
 - kind: conda
   name: vc14_runtime
-  version: 14.38.33135
-  build: h835141b_20
+  version: 14.40.33810
+  build: hcc2c482_20
   build_number: 20
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.38.33135-h835141b_20.conda
-  sha256: 05b07e0dd3fd49dcc98a365ff661ed6b65e2f0266b4bb03d273131ffdba663be
-  md5: e971b35a5765862fabc4ba6e5ddf9470
+  url: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.40.33810-hcc2c482_20.conda
+  sha256: bba8daa6f78b26b48fb7e1377eb52160e25495710bf53146c5f405bd50565982
+  md5: ad33c7cd933d69b9dee0f48317cdf137
   depends:
   - ucrt >=10.0.20348.0
   constrains:
-  - vs2015_runtime 14.38.33135.* *_20
+  - vs2015_runtime 14.40.33810.* *_20
   license: LicenseRef-ProprietaryMicrosoft
   license_family: Proprietary
   purls: []
-  size: 744189
-  timestamp: 1716231234745
+  size: 751028
+  timestamp: 1724712684919
 - kind: conda
   name: virtualenv
-  version: 20.26.2
+  version: 20.26.4
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.2-pyhd8ed1ab_0.conda
-  sha256: 1eefd180723fb2fd295352323b53777eeae5765b24d62ae75fc9f1e71b455f11
-  md5: 7d36e7a485ea2f5829408813bdbbfb38
+  url: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.26.4-pyhd8ed1ab_0.conda
+  sha256: 6eeb4f9e541f2e5198185c44ab4f5a2bdf700ca395b18617e12a8e00cf176d05
+  md5: 14c15fa7def506fe7d1a0e3abdc212d6
   depends:
   - distlib <1,>=0.3.7
   - filelock <4,>=3.12.2
   - platformdirs <5,>=3.9.1
   - python >=3.8
   license: MIT
-  license_family: MIT
   purls:
-  - pkg:pypi/virtualenv?source=conda-forge-mapping
-  size: 3458445
-  timestamp: 1715681264937
+  - pkg:pypi/virtualenv?source=hash-mapping
+  size: 4886907
+  timestamp: 1725779361477
 - kind: conda
   name: vs2015_runtime
-  version: 14.38.33135
-  build: h22015db_20
+  version: 14.40.33810
+  build: h3bf8584_20
   build_number: 20
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.38.33135-h22015db_20.conda
-  sha256: 2cebabc39766ea051e577762d813ad4151e9d0ff96f3ff3374d575a272951416
-  md5: bb4f5ab332e46e1b022d8842e72905b1
+  url: https://conda.anaconda.org/conda-forge/win-64/vs2015_runtime-14.40.33810-h3bf8584_20.conda
+  sha256: 0c2803f7a788c51f28235a7228dc2ab3f107b4b16ab0845a3e595c8c51e50a7a
+  md5: c21f1b4a3a30bbc3ef35a50957578e0e
   depends:
-  - vc14_runtime >=14.38.33135
+  - vc14_runtime >=14.40.33810
   license: BSD-3-Clause
   license_family: BSD
   purls: []
-  size: 17124
-  timestamp: 1716231247457
+  size: 17395
+  timestamp: 1717709043353
+- kind: conda
+  name: wayland
+  version: 1.23.1
+  build: h3e06ad9_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.23.1-h3e06ad9_0.conda
+  sha256: 0884b2023a32d2620192cf2e2fc6784b8d1e31cf9f137e49e00802d4daf7d1c1
+  md5: 0a732427643ae5e0486a727927791da1
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libexpat >=2.6.2,<3.0a0
+  - libffi >=3.4,<4.0a0
+  - libgcc-ng >=13
+  - libstdcxx-ng >=13
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 321561
+  timestamp: 1724530461598
 - kind: conda
   name: wcwidth
   version: 0.2.13
@@ -13979,26 +13538,26 @@ packages:
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/wcwidth?source=conda-forge-mapping
+  - pkg:pypi/wcwidth?source=hash-mapping
   size: 32709
   timestamp: 1704731373922
 - kind: conda
   name: webcolors
-  version: '1.13'
+  version: 24.8.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
-  sha256: 6e097d5fe92849ad3af2c2a313771ad2fbf1cadd4dc4afd552303b2bf3f85211
-  md5: 166212fe82dad8735550030488a01d03
+  url: https://conda.anaconda.org/conda-forge/noarch/webcolors-24.8.0-pyhd8ed1ab_0.conda
+  sha256: ec71f97c332a7d328ae038990b8090cbfa772f82845b5d2233defd167b7cc5ac
+  md5: eb48b812eb4fbb9ff238a6651fdbbcae
   depends:
   - python >=3.5
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/webcolors?source=conda-forge-mapping
-  size: 18186
-  timestamp: 1679900907305
+  - pkg:pypi/webcolors?source=hash-mapping
+  size: 18378
+  timestamp: 1723294800217
 - kind: conda
   name: webencodings
   version: 0.5.1
@@ -14014,7 +13573,7 @@ packages:
   license: BSD-3-Clause
   license_family: BSD
   purls:
-  - pkg:pypi/webencodings?source=conda-forge-mapping
+  - pkg:pypi/webencodings?source=hash-mapping
   size: 15600
   timestamp: 1694681458271
 - kind: conda
@@ -14031,7 +13590,7 @@ packages:
   license: Apache-2.0
   license_family: APACHE
   purls:
-  - pkg:pypi/websocket-client?source=conda-forge-mapping
+  - pkg:pypi/websocket-client?source=hash-mapping
   size: 47066
   timestamp: 1713923494501
 - kind: conda
@@ -14049,7 +13608,7 @@ packages:
   - python >=3.6
   license: PUBLIC-DOMAIN
   purls:
-  - pkg:pypi/win-inet-pton?source=conda-forge-mapping
+  - pkg:pypi/win-inet-pton?source=hash-mapping
   size: 8191
   timestamp: 1667051294134
 - kind: conda
@@ -14068,111 +13627,108 @@ packages:
   purls: []
   size: 1176306
 - kind: conda
-  name: wmctrl
-  version: '0.5'
-  build: pyhd8ed1ab_0
-  subdir: noarch
-  noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/wmctrl-0.5-pyhd8ed1ab_0.conda
-  sha256: b7526024b323b43ab8af687adeb6ee8f40aba70a9ee5939317d1b6b50e050061
-  md5: eee592c2bd3901849b3732ff1da58049
+  name: xcb-util
+  version: 0.4.1
+  build: hb711507_2
+  build_number: 2
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.1-hb711507_2.conda
+  sha256: 416aa55d946ce4ab173ab338796564893a2f820e80e04e098ff00c25fb981263
+  md5: 8637c3e5821654d0edf97e2b0404b443
   depends:
-  - attrs
-  - python >=3
+  - libgcc-ng >=12
+  - libxcb >=1.16,<1.17.0a0
   license: MIT
   license_family: MIT
-  purls:
-  - pkg:pypi/wmctrl?source=conda-forge-mapping
-  size: 10415
-  timestamp: 1695590958853
+  purls: []
+  size: 19965
+  timestamp: 1718843348208
 - kind: conda
-  name: xcb-util
-  version: 0.4.0
-  build: hd590300_1
-  build_number: 1
+  name: xcb-util-cursor
+  version: 0.1.4
+  build: h4ab18f5_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-hd590300_1.conda
-  sha256: 0c91d87f0efdaadd4e56a5f024f8aab20ec30f90aa2ce9e4ebea05fbc20f71ad
-  md5: 9bfac7ccd94d54fd21a0501296d60424
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-cursor-0.1.4-h4ab18f5_2.conda
+  sha256: c72e58bae4a7972ca4dee5e850e82216222c06d53b3651e1ca7db8b5d2fc95fe
+  md5: 79e46d4a6ccecb7ee1912042958a8758
   depends:
   - libgcc-ng >=12
   - libxcb >=1.13
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - xcb-util-image >=0.4.0,<0.5.0a0
+  - xcb-util-renderutil >=0.3.10,<0.4.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 19728
-  timestamp: 1684639166048
+  size: 20397
+  timestamp: 1718899451268
 - kind: conda
   name: xcb-util-image
   version: 0.4.0
-  build: h8ee46fc_1
-  build_number: 1
+  build: hb711507_2
+  build_number: 2
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-h8ee46fc_1.conda
-  sha256: 92ffd68d2801dbc27afe223e04ae7e78ef605fc8575f107113c93c7bafbd15b0
-  md5: 9d7bcddf49cbf727730af10e71022c73
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-hb711507_2.conda
+  sha256: 94b12ff8b30260d9de4fd7a28cca12e028e572cbc504fd42aa2646ec4a5bded7
+  md5: a0901183f08b6c7107aab109733a3c91
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.15,<1.16.0a0
-  - xcb-util >=0.4.0,<0.5.0a0
+  - libxcb >=1.16,<1.17.0a0
+  - xcb-util >=0.4.1,<0.5.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 24474
-  timestamp: 1684679894554
+  size: 24551
+  timestamp: 1718880534789
 - kind: conda
   name: xcb-util-keysyms
-  version: 0.4.0
-  build: h8ee46fc_1
-  build_number: 1
+  version: 0.4.1
+  build: hb711507_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.0-h8ee46fc_1.conda
-  sha256: 8451d92f25d6054a941b962179180728c48c62aab5bf20ac10fef713d5da6a9a
-  md5: 632413adcd8bc16b515cab87a2932913
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-keysyms-0.4.1-hb711507_0.conda
+  sha256: 546e3ee01e95a4c884b6401284bb22da449a2f4daf508d038fdfa0712fe4cc69
+  md5: ad748ccca349aec3e91743e08b5e2b50
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb >=1.16,<1.17.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 14186
-  timestamp: 1684680497805
+  size: 14314
+  timestamp: 1718846569232
 - kind: conda
   name: xcb-util-renderutil
-  version: 0.3.9
-  build: hd590300_1
-  build_number: 1
+  version: 0.3.10
+  build: hb711507_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-hd590300_1.conda
-  sha256: 6987588e6fff5892056021c2ea52f7a0deefb2c7348e70d24750e2d60dabf009
-  md5: e995b155d938b6779da6ace6c6b13816
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.10-hb711507_0.conda
+  sha256: 2d401dadc43855971ce008344a4b5bd804aca9487d8ebd83328592217daca3df
+  md5: 0e0cbe0564d03a99afd5fd7b362feecd
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.13
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb >=1.16,<1.17.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 16955
-  timestamp: 1684639112393
+  size: 16978
+  timestamp: 1718848865819
 - kind: conda
   name: xcb-util-wm
-  version: 0.4.1
-  build: h8ee46fc_1
-  build_number: 1
+  version: 0.4.2
+  build: hb711507_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h8ee46fc_1.conda
-  sha256: 08ba7147c7579249b6efd33397dc1a8c2404278053165aaecd39280fee705724
-  md5: 90108a432fb5c6150ccfee3f03388656
+  url: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.2-hb711507_0.conda
+  sha256: 31d44f297ad87a1e6510895740325a635dd204556aa7e079194a0034cdd7e66a
+  md5: 608e0ef8256b81d04456e8d211eee3e8
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb >=1.16,<1.17.0a0
   license: MIT
   license_family: MIT
   purls: []
-  size: 52114
-  timestamp: 1684679248466
+  size: 51689
+  timestamp: 1718844051451
 - kind: conda
   name: xkeyboard-config
   version: '2.42'
@@ -14189,6 +13745,39 @@ packages:
   purls: []
   size: 388998
   timestamp: 1717817668629
+- kind: conda
+  name: xorg-fixesproto
+  version: '5.0'
+  build: h7f98852_1002
+  build_number: 1002
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-fixesproto-5.0-h7f98852_1002.tar.bz2
+  sha256: 5d2af1b40f82128221bace9466565eca87c97726bb80bbfcd03871813f3e1876
+  md5: 65ad6e1eb4aed2b0611855aff05e04f6
+  depends:
+  - libgcc-ng >=9.3.0
+  - xorg-xextproto
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 9122
+  timestamp: 1617479697350
+- kind: conda
+  name: xorg-inputproto
+  version: 2.3.2
+  build: h7f98852_1002
+  build_number: 1002
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-inputproto-2.3.2-h7f98852_1002.tar.bz2
+  sha256: 6c8c2803de0f643f8bad16ece3f9a7259e4a49247543239c182d66d5e3a129a7
+  md5: bcd1b3396ec6960cbc1d2855a9e60b2b
+  depends:
+  - libgcc-ng >=9.3.0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 19602
+  timestamp: 1610027678228
 - kind: conda
   name: xorg-kbproto
   version: 1.0.7
@@ -14240,22 +13829,23 @@ packages:
 - kind: conda
   name: xorg-libx11
   version: 1.8.9
-  build: h8ee46fc_0
+  build: hb711507_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda
-  sha256: 3e53ba247f1ad68353f18aceba5bf8ce87e3dea930de85d36946844a7658c9fb
-  md5: 077b6e8ad6a3ddb741fce2496dd01bec
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-hb711507_1.conda
+  sha256: 66eabe62b66c1597c4a755dcd3f4ce2c78adaf7b32e25dfee45504d67d7735c1
+  md5: 4a6d410296d7e39f00bacdee7df046e9
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb >=1.16,<1.17.0a0
   - xorg-kbproto
   - xorg-xextproto >=7.3.0,<8.0a0
   - xorg-xproto
   license: MIT
   license_family: MIT
   purls: []
-  size: 828060
-  timestamp: 1712415742569
+  size: 832198
+  timestamp: 1718846846409
 - kind: conda
   name: xorg-libxau
   version: 1.0.11
@@ -14387,6 +13977,47 @@ packages:
   purls: []
   size: 50143
   timestamp: 1677036907815
+- kind: conda
+  name: xorg-libxfixes
+  version: 5.0.3
+  build: h7f98852_1004
+  build_number: 1004
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxfixes-5.0.3-h7f98852_1004.tar.bz2
+  sha256: 1e426a1abb774ef1dcf741945ed5c42ad12ea2dc7aeed7682d293879c3e1e4c3
+  md5: e9a21aa4d5e3e5f1aed71e8cefd46b6a
+  depends:
+  - libgcc-ng >=9.3.0
+  - xorg-fixesproto
+  - xorg-libx11 >=1.7.0,<2.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 18145
+  timestamp: 1617717802636
+- kind: conda
+  name: xorg-libxi
+  version: 1.7.10
+  build: h4bc722e_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.7.10-h4bc722e_1.conda
+  sha256: e1416eb435e3d903bc658e3c637f0e87efd2dca290fe70daf29738b3a3d1f8ff
+  md5: 749baebe7e2ff3360630e069175e528b
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
+  - xorg-inputproto
+  - xorg-libx11 >=1.8.9,<2.0a0
+  - xorg-libxext 1.3.*
+  - xorg-libxext >=1.3.4,<2.0a0
+  - xorg-libxfixes 5.0.*
+  - xorg-xextproto >=7.3.0,<8.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 46794
+  timestamp: 1722108216651
 - kind: conda
   name: xorg-libxrender
   version: 0.9.11
@@ -14404,6 +14035,65 @@ packages:
   purls: []
   size: 37770
   timestamp: 1688300707994
+- kind: conda
+  name: xorg-libxtst
+  version: 1.2.5
+  build: h4bc722e_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxtst-1.2.5-h4bc722e_0.conda
+  sha256: 0139b52c3cbce57bfd1d120c41637bc239430faff4aa0445f58de0adf4c4b976
+  md5: 185159d666308204eca00295599b0a5c
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
+  - xorg-inputproto
+  - xorg-libx11 >=1.8.9,<2.0a0
+  - xorg-libxext 1.3.*
+  - xorg-libxext >=1.3.4,<2.0a0
+  - xorg-libxi 1.7.*
+  - xorg-libxi >=1.7.10,<2.0a0
+  - xorg-recordproto
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 32931
+  timestamp: 1722575571554
+- kind: conda
+  name: xorg-libxxf86vm
+  version: 1.1.5
+  build: h4bc722e_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxxf86vm-1.1.5-h4bc722e_1.conda
+  sha256: 109d6b1931d1482faa0bf6de83c7e6d9ca36bbf9d36a00a05df4f63b82fce5c3
+  md5: 0c90ad87101001080484b91bd9d2cdef
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc-ng >=12
+  - xorg-libx11 >=1.8.9,<2.0a0
+  - xorg-libxext >=1.3.4,<2.0a0
+  - xorg-xextproto >=7.3.0,<8.0a0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 18443
+  timestamp: 1722110433983
+- kind: conda
+  name: xorg-recordproto
+  version: 1.14.2
+  build: h7f98852_1002
+  build_number: 1002
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-recordproto-1.14.2-h7f98852_1002.tar.bz2
+  sha256: 4b91d48fed368c83eafd03891ebfd5bae0a03adc087ebea8a680ae22da99a85f
+  md5: 2f835e6c386e73c6faaddfe9eda67e98
+  depends:
+  - libgcc-ng >=9.3.0
+  license: MIT
+  license_family: MIT
+  purls: []
+  size: 8014
+  timestamp: 1621340029114
 - kind: conda
   name: xorg-renderproto
   version: 0.11.1
@@ -14436,22 +14126,6 @@ packages:
   purls: []
   size: 30270
   timestamp: 1677036833037
-- kind: conda
-  name: xorg-xf86vidmodeproto
-  version: 2.3.1
-  build: h7f98852_1002
-  build_number: 1002
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-h7f98852_1002.tar.bz2
-  sha256: 43398aeacad5b8753b7a1c12cb6bca36124e0c842330372635879c350c430791
-  md5: 3ceea9668625c18f19530de98b15d5b0
-  depends:
-  - libgcc-ng >=9.3.0
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 23875
-  timestamp: 1620067286978
 - kind: conda
   name: xorg-xproto
   version: 7.0.31
@@ -14585,114 +14259,226 @@ packages:
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: h75354e8_4
-  build_number: 4
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-h75354e8_4.conda
-  sha256: bc9aaee39e7be107d7daff237435dfd8f791aca460a98583a36a263615205262
-  md5: 03cc8d9838ad9dd0060ab532e81ccb21
+  build: h64debc3_5
+  build_number: 5
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-h64debc3_5.conda
+  sha256: b4ba544a04129472651a5df3b8906ed68e7f43bf23e724fd0e368218083c920c
+  md5: c29dbe9343a0b55b027fa645644c59d9
   depends:
-  - krb5 >=1.21.2,<1.22.0a0
-  - libgcc-ng >=12
-  - libsodium >=1.0.18,<1.0.19.0a0
-  - libstdcxx-ng >=12
+  - __osx >=11.0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libcxx >=17
+  - libsodium >=1.0.20,<1.0.21.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 353229
-  timestamp: 1715607188837
+  size: 296355
+  timestamp: 1725430145243
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: hcc0f68c_4
-  build_number: 4
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.5-hcc0f68c_4.conda
-  sha256: c22520d6d66a80f17c5f2b3719ad4a6ee809b210b8ac87d6f05ab98b94b3abda
-  md5: 39fb79e7a7a880a03f82c1f2eb7f7c73
+  build: ha4adb4c_5
+  build_number: 5
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.5-ha4adb4c_5.conda
+  sha256: dd48adc07fcd029c86fbf82e68d0e4818c7744b768e08139379920b56b582814
+  md5: e8372041ebb377237db9d0d24c7b5962
   depends:
-  - __osx >=11.0
-  - krb5 >=1.21.2,<1.22.0a0
-  - libcxx >=16
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - __glibc >=2.17,<3.0.a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libgcc >=13
+  - libsodium >=1.0.20,<1.0.21.0a0
+  - libstdcxx >=13
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 298555
-  timestamp: 1715607628741
+  size: 353159
+  timestamp: 1725429777124
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: hde137ed_4
-  build_number: 4
+  build: hb33e954_5
+  build_number: 5
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hde137ed_4.conda
-  sha256: 871625ce993e6c61649b14659a3d1d6011fbb242b7d6a25cadbc6300b2356f32
-  md5: e56609055da6c658aa329d42a6c6b9f2
+  url: https://conda.anaconda.org/conda-forge/osx-64/zeromq-4.3.5-hb33e954_5.conda
+  sha256: 7e63a9ec19660666095ea9332a5b226329ff4f499018e8a281d0d160cbb60ca4
+  md5: a9735eb372d515c78f8211785406e36f
   depends:
   - __osx >=10.13
-  - krb5 >=1.21.2,<1.22.0a0
-  - libcxx >=16
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libcxx >=17
+  - libsodium >=1.0.20,<1.0.21.0a0
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 304498
-  timestamp: 1715607961981
+  size: 303596
+  timestamp: 1725430161260
 - kind: conda
   name: zeromq
   version: 4.3.5
-  build: he1f189c_4
-  build_number: 4
+  build: he1f189c_5
+  build_number: 5
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_4.conda
-  sha256: 0f375034a88659f764ce837f324698a883da227fcb517561ffaf6a89474211b4
-  md5: b755eb545c2728b9a53729f02e627834
+  url: https://conda.anaconda.org/conda-forge/win-64/zeromq-4.3.5-he1f189c_5.conda
+  sha256: 7cfea95cc9f637ad5b651cde6bb22ddcd7989bd9b21e3c6df4958f618c13b807
+  md5: a6df1c5da1f16f02e872994611dc4dfb
   depends:
-  - krb5 >=1.21.2,<1.22.0a0
-  - libsodium >=1.0.18,<1.0.19.0a0
+  - krb5 >=1.21.3,<1.22.0a0
+  - libsodium >=1.0.20,<1.0.21.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   license: MPL-2.0
   license_family: MOZILLA
   purls: []
-  size: 2707065
-  timestamp: 1715607874610
+  size: 2710711
+  timestamp: 1725430044838
 - kind: conda
   name: zipp
-  version: 3.17.0
+  version: 3.20.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
-  sha256: bced1423fdbf77bca0a735187d05d9b9812d2163f60ab426fc10f11f92ecbe26
-  md5: 2e4d6bc0b14e10f895fc6791a7d9b26a
+  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.20.1-pyhd8ed1ab_0.conda
+  sha256: 30762bd25b6fc8714d5520a223ccf20ad4a6792dc439c54b59bf44b60bf51e72
+  md5: 74a4befb4b38897e19a107693e49da20
   depends:
   - python >=3.8
   license: MIT
   license_family: MIT
   purls:
-  - pkg:pypi/zipp?source=conda-forge-mapping
-  size: 18954
-  timestamp: 1695255262261
+  - pkg:pypi/zipp?source=hash-mapping
+  size: 21110
+  timestamp: 1724731063145
 - kind: conda
   name: zlib
-  version: 1.2.13
-  build: h4ab18f5_6
-  build_number: 6
+  version: 1.3.1
+  build: h2466b09_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/zlib-1.3.1-h2466b09_1.conda
+  sha256: 76409556e6c7cb91991cd94d7fc853c9272c2872bd7e3573ff35eb33d6fca5be
+  md5: f8e0a35bf6df768ad87ed7bbbc36ab04
+  depends:
+  - libzlib 1.3.1 h2466b09_1
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  license: Zlib
+  license_family: Other
+  purls: []
+  size: 108081
+  timestamp: 1716874767420
+- kind: conda
+  name: zlib
+  version: 1.3.1
+  build: h4ab18f5_1
+  build_number: 1
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-h4ab18f5_6.conda
-  sha256: 534824ea44939f3e59ca8ebb95e3ece6f50f9d2a0e69999fbc692311252ed6ac
-  md5: 559d338a4234c2ad6e676f460a093e67
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-h4ab18f5_1.conda
+  sha256: cee16ab07a11303de721915f0a269e8c7a54a5c834aa52f74b1cc3a59000ade8
+  md5: 9653f1bf3766164d0e65fa723cabbc54
   depends:
   - libgcc-ng >=12
-  - libzlib 1.2.13 h4ab18f5_6
+  - libzlib 1.3.1 h4ab18f5_1
   license: Zlib
   license_family: Other
   purls: []
-  size: 92883
-  timestamp: 1716874088980
+  size: 93004
+  timestamp: 1716874213487
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h15fbf35_1
+  build_number: 1
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstandard-0.23.0-py312h15fbf35_1.conda
+  sha256: d00ca25c1e28fd31199b26a94f8c96574475704a825d244d7a6351ad3745eeeb
+  md5: a4cde595509a7ad9c13b1a3809bcfe51
+  depends:
+  - __osx >=11.0
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 330788
+  timestamp: 1725305806565
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h7122b0e_1
+  build_number: 1
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/zstandard-0.23.0-py312h7122b0e_1.conda
+  sha256: 2685dde42478fae0780fba5d1f8a06896a676ae105f215d32c9f9e76f3c6d8fd
+  md5: bd132ba98f3fc0a6067f355f8efe4cb6
+  depends:
+  - __osx >=10.13
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 410873
+  timestamp: 1725305688706
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312h7606c53_1
+  build_number: 1
+  subdir: win-64
+  url: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda
+  sha256: 3e0c718aa18dcac7f080844dbe0aea41a9cea75083019ce02e8a784926239826
+  md5: a92cc3435b2fd6f51463f5a4db5c50b1
+  depends:
+  - cffi >=1.11
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - ucrt >=10.0.20348.0
+  - vc >=14.2,<15
+  - vc14_runtime >=14.29.30139
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 320624
+  timestamp: 1725305934189
+- kind: conda
+  name: zstandard
+  version: 0.23.0
+  build: py312hef9b889_1
+  build_number: 1
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.23.0-py312hef9b889_1.conda
+  sha256: b97015e146437283f2213ff0e95abdc8e2480150634d81fbae6b96ee09f5e50b
+  md5: 8b7069e9792ee4e5b4919a7a306d2e67
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - cffi >=1.11
+  - libgcc >=13
+  - python >=3.12,<3.13.0a0
+  - python_abi 3.12.* *_cp312
+  - zstd >=1.5.6,<1.5.7.0a0
+  - zstd >=1.5.6,<1.6.0a0
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/zstandard?source=hash-mapping
+  size: 419552
+  timestamp: 1725305670210
 - kind: conda
   name: zstd
   version: 1.5.6
diff --git a/pyproject.toml b/pyproject.toml
index 7183d1cd..d589ec9d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -96,12 +96,10 @@ python = "3.12"
 scipy = "<=1.13"
 pybaum = "*"
 jupyterlab = "*"
-plotly = ">=5.2,<6"
-pdbpp = "*"
+plotly = ">=5.24,<6"
 pre-commit = "*"
 snakeviz = "*"
 memory_profiler = "*"
-pixi-kernel = ">=0.3.0,<0.4"
 
 [tool.pixi.target.unix.dependencies]
 jax = ">=0.4.20"
@@ -112,6 +110,7 @@ jaxlib = ">=0.4.20"
 
 [tool.pixi.pypi-dependencies]
 lcm = {path = ".", editable = true}
+pdbp = "*"
 
 [tool.pixi.target.win-64.pypi-dependencies]
 jax = { version = ">=0.4.20", extras = ["cpu"] }
@@ -140,7 +139,7 @@ tests-with-cov = "pytest tests --cov-report=xml --cov=./"
 explanation-notebooks = "jupyter execute explanations/*.ipynb"
 
 [tool.pixi.feature.mypy.dependencies]
-mypy = "*"
+mypy = ">=1.11.2"
 pandas-stubs = "*"
 matplotlib = "*"  # required because of pandas
 
@@ -219,11 +218,16 @@ extend-ignore = [
 
     # Missing docstring in magic method
     "D105",
+
+    # Rules ignored to avoid conflict with formatter
+    # ----------------------------------------------------------------------------------
+    "COM812",
+    "ISC001",
 ]
 
 [tool.ruff.lint.per-file-ignores]
 "docs/source/conf.py" = ["E501", "ERA001", "DTZ005"]
-"tests/test_*.py" = ["PLR2004"]
+"tests/*" = ["PLR2004"]
 "examples/*" = ["INP001"]
 "explanations/*" = ["INP001", "B018", "T201", "E402", "PD008"]
 "scripts/*" = ["INP001", "D101", "RET503"]
@@ -259,5 +263,10 @@ none_representation = "null"
 # ======================================================================================
 
 [[tool.mypy.overrides]]
-module = ["dags", "dags.signature"]
+module = "tests.*"
+disallow_untyped_defs = false
+ignore_errors = true
+
+[[tool.mypy.overrides]]
+module = ["dags", "dags.signature", "pybaum", "pdbp"]
 ignore_missing_imports = true
diff --git a/src/lcm/__init__.py b/src/lcm/__init__.py
index ef816051..8d1a197b 100644
--- a/src/lcm/__init__.py
+++ b/src/lcm/__init__.py
@@ -1,4 +1,12 @@
+import contextlib
+
+try:
+    import pdbp  # noqa: F401
+except ImportError:
+    contextlib.suppress(Exception)
+
 from lcm import mark
-from lcm.user_input import DiscreteGrid, LinspaceGrid, LogspaceGrid, Model
+from lcm.grids import DiscreteGrid, LinspaceGrid, LogspaceGrid
+from lcm.user_model import Model
 
 __all__ = ["mark", "Model", "LinspaceGrid", "LogspaceGrid", "DiscreteGrid"]
diff --git a/src/lcm/discrete_problem.py b/src/lcm/discrete_problem.py
index 84c665f6..a26baab2 100644
--- a/src/lcm/discrete_problem.py
+++ b/src/lcm/discrete_problem.py
@@ -19,7 +19,6 @@
 
 from collections.abc import Callable
 from functools import partial
-from typing import Any, Literal
 
 import jax
 import jax.numpy as jnp
@@ -27,30 +26,28 @@
 from jax import Array
 from jax.ops import segment_max
 
-from lcm.typing import SegmentInfo
+from lcm.typing import ParamsDict, SegmentInfo, ShockType
 
 
 def get_solve_discrete_problem(
     *,
-    random_utility_shock_type: Literal["extreme_value"] | None,
+    random_utility_shock_type: ShockType,
     variable_info: pd.DataFrame,
     is_last_period: bool,
     choice_segments: SegmentInfo | None,
-    params: dict[str, Any],
 ) -> Callable[[Array], Array]:
     """Get function that computes the expected max. of conditional continuation values.
 
     The maximum is taken over the discrete and sparse choice variables in each state.
 
     Args:
-        random_utility_shock_type (Literal["extreme_value"] | None): Type of choice
-            shock. Currently only None is supported. Work for "extreme_value" is in
-            progress.
-        variable_info (pd.DataFrame): DataFrame with information about the variables.
-        is_last_period (bool): Whether the function is created for the last period.
-        choice_segments (SegmentInfo): Contains segment information of sparse choices.
-            If None, there are no sparse choices.
-        params (dict): Dictionary with model parameters.
+        random_utility_shock_type: Type of choice shock. Currently only Shock.NONE is
+            supported. Work for "extreme_value" is in progress.
+        variable_info: DataFrame with information about the variables.
+        is_last_period: Whether the function is created for the last period.
+        choice_segments: Contains segment information of sparse choices. If None, there
+            are no sparse choices.
+        params: Dictionary with model parameters.
 
     Returns:
         callable: Function that calculates the expected maximum of the conditional
@@ -63,9 +60,9 @@ def get_solve_discrete_problem(
 
     choice_axes = _determine_dense_discrete_choice_axes(variable_info)
 
-    if random_utility_shock_type is None:
+    if random_utility_shock_type == ShockType.NONE:
         func = _solve_discrete_problem_no_shocks
-    elif random_utility_shock_type == "extreme_value":
+    elif random_utility_shock_type == ShockType.EXTREME_VALUE:
         raise NotImplementedError("Extreme value shocks are not yet implemented.")
     else:
         raise ValueError(f"Invalid shock_type: {random_utility_shock_type}.")
@@ -74,7 +71,6 @@ def get_solve_discrete_problem(
         func,
         choice_axes=choice_axes,
         choice_segments=choice_segments,
-        params=params,
     )
 
 
@@ -87,7 +83,7 @@ def _solve_discrete_problem_no_shocks(
     cc_values: Array,
     choice_axes: tuple[int, ...] | None,
     choice_segments: SegmentInfo | None,
-    params: dict[str, Any],  # noqa: ARG001
+    params: ParamsDict,  # noqa: ARG001
 ) -> Array:
     """Reduce conditional continuation values over discrete choices.
 
diff --git a/src/lcm/dispatchers.py b/src/lcm/dispatchers.py
index ebe941a9..d6eed9b4 100644
--- a/src/lcm/dispatchers.py
+++ b/src/lcm/dispatchers.py
@@ -48,17 +48,20 @@ def spacemap(
     """
     # Check inputs and prepare function
     # ==================================================================================
-    if overlap := set(dense_vars).intersection(sparse_vars):
+    overlap = set(dense_vars).intersection(sparse_vars)
+    if overlap:
         raise ValueError(
             f"Dense and sparse variables must be disjoint. Overlap: {overlap}",
         )
 
-    if duplicates := {v for v in dense_vars if dense_vars.count(v) > 1}:
+    duplicates = {v for v in dense_vars if dense_vars.count(v) > 1}
+    if duplicates:
         raise ValueError(
             f"Same argument provided more than once in dense variables: {duplicates}",
         )
 
-    if duplicates := {v for v in sparse_vars if sparse_vars.count(v) > 1}:
+    duplicates = {v for v in sparse_vars if sparse_vars.count(v) > 1}
+    if duplicates:
         raise ValueError(
             f"Same argument provided more than once in sparse variables: {duplicates}",
         )
@@ -116,7 +119,8 @@ def vmap_1d(
         described above but there might be additional dimensions.
 
     """
-    if duplicates := {v for v in variables if variables.count(v) > 1}:
+    duplicates = {v for v in variables if variables.count(v) > 1}
+    if duplicates:
         raise ValueError(
             f"Same argument provided more than once in variables: {duplicates}",
         )
@@ -179,7 +183,8 @@ def productmap(func: F, variables: list[str]) -> F:
     """
     func = allow_args(func)  # jax.vmap cannot deal with keyword-only arguments
 
-    if duplicates := {v for v in variables if variables.count(v) > 1}:
+    duplicates = {v for v in variables if variables.count(v) > 1}
+    if duplicates:
         raise ValueError(
             f"Same argument provided more than once in variables: {duplicates}",
         )
diff --git a/src/lcm/entry_point.py b/src/lcm/entry_point.py
index 4f8ac3cf..2ccf5148 100644
--- a/src/lcm/entry_point.py
+++ b/src/lcm/entry_point.py
@@ -1,6 +1,7 @@
 import functools
+from collections.abc import Callable
 from functools import partial
-from typing import Literal
+from typing import Literal, cast
 
 import jax
 import jax.numpy as jnp
@@ -8,17 +9,18 @@
 from lcm.argmax import argmax
 from lcm.discrete_problem import get_solve_discrete_problem
 from lcm.dispatchers import productmap
+from lcm.input_processing import process_model
 from lcm.logging import get_logger
 from lcm.model_functions import (
     get_utility_and_feasibility_function,
 )
 from lcm.next_state import get_next_state_function
 from lcm.options import DefaultMapCoordinatesOptions
-from lcm.process_model import process_model
 from lcm.simulate import simulate
 from lcm.solve_brute import solve
 from lcm.state_space import create_state_choice_space
-from lcm.user_input import Model
+from lcm.typing import ParamsDict
+from lcm.user_model import Model
 
 
 def get_lcm_function(
@@ -28,37 +30,34 @@ def get_lcm_function(
     debug_mode: bool = True,
     jit: bool = True,
     interpolation_options: dict | None = None,
-):
+) -> tuple[Callable, ParamsDict]:
     """Entry point for users to get high level functions generated by lcm.
 
+    Return the function to solve and/or simulate a model along with a template for the
+    parameters.
+
     Advanced users might want to use lower level functions instead, but can read the
     source code of this function to see how the lower level components are meant to be
     used.
 
     Notes:
     -----
-    - Further targets could be "likelihood" or "simulate"
-    - We might need additional arguments such as solver_options that we want to take
-      separate from a model specification.
-    - create_params needs to work with a processed_model instead of a user model.
-    - currently all the preparations are hardcoded to generate the arguments needed
-      by solve_brute. In the long run, this needs to inspect the signature of the
-      solver, or generate only what is needed using dags.
-    - there is a hack to make the state_indexers empty in the last period which needs
+    - There is a hack to make the state_indexers empty in the last period which needs
       to be replaced by a better solution, when we want to allow for bequest motives.
 
     Args:
-        model (dict): User model specification.
-        targets (str or iterable): The requested function types. Currently only
-            "solve", "simulate" and "solve_and_simulate" are supported.
-        debug_mode (bool): Whether to log debug messages.
-        jit (bool): Whether to jit the returned function.
-        interpolation_options (dict): Dictionary of keyword arguments for interpolation
+        model: User model specification.
+        targets: The requested function types. Currently only "solve", "simulate" and
+            "solve_and_simulate" are supported.
+        debug_mode: Whether to log debug messages.
+        jit: Whether to jit the returned function.
+        interpolation_options: Dictionary of keyword arguments for interpolation
             via map_coordinates. If None, the default options are used.
 
     Returns:
-        callable: A function that takes params and returns the requested targets.
-        dict: A parameter dict where all parameter values are initialized to NaN.
+        - A function that takes params (and possibly other arguments, such as initial
+          states in the simulate case) and returns the requested targets.
+        - A parameter dictionary where all parameter values are initialized to NaN.
 
     """
     # ==================================================================================
@@ -67,7 +66,7 @@ def get_lcm_function(
     if targets not in {"solve", "simulate", "solve_and_simulate"}:
         raise NotImplementedError
 
-    _mod = process_model(user_model=model)
+    _mod = process_model(model=model)
     last_period = _mod.n_periods - 1
     interpolation_options = DefaultMapCoordinatesOptions | (interpolation_options or {})
 
@@ -153,14 +152,11 @@ def get_lcm_function(
 
         # create list of emax_calculators
         # ==============================================================================
-        _shock_type = _mod.shocks.get("additive_utility_shock", None)
-
         calculator = get_solve_discrete_problem(
-            random_utility_shock_type=_shock_type,
+            random_utility_shock_type=_mod.random_utility_shocks,
             variable_info=_mod.variable_info,
             is_last_period=is_last_period,
             choice_segments=choice_segments[period],
-            params=_mod.params,
         )
         emax_calculators.append(calculator)
 
@@ -197,7 +193,7 @@ def get_lcm_function(
     elif targets == "solve_and_simulate":
         _target = partial(simulate_model, solve_model=solve_model)
 
-    return _target, _mod.params
+    return cast(Callable, _target), _mod.params
 
 
 def create_compute_conditional_continuation_value(
diff --git a/src/lcm/exceptions.py b/src/lcm/exceptions.py
new file mode 100644
index 00000000..d58b0ba1
--- /dev/null
+++ b/src/lcm/exceptions.py
@@ -0,0 +1,18 @@
+class ModelInitilizationError(Exception):
+    """Raised when there is an error in the model initialization."""
+
+
+class GridInitializationError(Exception):
+    """Raised when there is an error in the grid initialization."""
+
+
+def format_messages(errors: str | list[str]) -> str:
+    """Convert message or list of messages into a single string."""
+    if isinstance(errors, str):
+        formatted = errors
+    elif len(errors) == 1:
+        formatted = errors[0]
+    else:
+        enumerated = "\n\n".join([f"{i}. {error}" for i, error in enumerate(errors, 1)])
+        formatted = f"The following errors occurred:\n\n{enumerated}"
+    return formatted
diff --git a/src/lcm/function_representation.py b/src/lcm/function_representation.py
index 96143cfd..2a90d98b 100644
--- a/src/lcm/function_representation.py
+++ b/src/lcm/function_representation.py
@@ -7,9 +7,9 @@
 from jax import Array
 from jax.scipy.ndimage import map_coordinates
 
-import lcm.grids as grids_module
 from lcm.functools import all_as_kwargs
-from lcm.interfaces import ContinuousGridInfo, ContinuousGridType, SpaceInfo
+from lcm.grids import ContinuousGrid
+from lcm.interfaces import SpaceInfo
 from lcm.typing import MapCoordinatesOptions
 
 
@@ -54,7 +54,7 @@ def get_function_representation(
     functions are called is determined by a DAG.
 
     Args:
-        space_info: Namedtuple containing all information needed to interpret the
+        space_info: Class containing all information needed to interpret the
             pre-calculated values of a function.
         name_of_values_on_grid: The name of the argument via which the pre-calculated
             values, that have been evaluated on the state-space grid, will be passed
@@ -120,8 +120,7 @@ def get_function_representation(
         for var, grid_spec in space_info.interpolation_info.items():
             funcs[f"__{var}_coord__"] = _get_coordinate_finder(
                 in_name=input_prefix + var,
-                grid_type=grid_spec.kind,
-                grid_info=grid_spec.info,
+                grid=grid_spec,  # type: ignore[arg-type]
             )
 
         # ==============================================================================
@@ -199,8 +198,7 @@ def lookup_wrapper(*args, **kwargs):
 
 def _get_coordinate_finder(
     in_name: str,
-    grid_type: ContinuousGridType,
-    grid_info: ContinuousGridInfo,
+    grid: ContinuousGrid,
 ) -> Callable[..., Array]:
     """Create a function that translates a value into coordinates on a grid.
 
@@ -210,22 +208,19 @@ def _get_coordinate_finder(
     Args:
         in_name: Name via which the value to be translated into coordinates will be
             passed into the resulting function.
-        grid_type: Type of the grid, e.g. "linspace" or "logspace". The type of grid
-            must be implemented in lcm.grids.
-        grid_info: Information on how to build the grid, e.g. start, stop, and n_points.
+        grid: The continuous grid on which the value is to be translated into
+            coordinates.
 
     Returns:
         callable: A callable with keyword-only argument [in_name] that translates a
             value into coordinates on a grid.
 
     """
-    raw_func = getattr(grids_module, f"get_{grid_type}_coordinate")
-    partialled_func = partial(raw_func, **grid_info._asdict())
 
     @with_signature(args=[in_name])
     def find_coordinate(*args, **kwargs):
         kwargs = all_as_kwargs(args, kwargs, arg_names=[in_name])
-        return partialled_func(kwargs[in_name])
+        return grid.get_coordinate(kwargs[in_name])
 
     return find_coordinate
 
@@ -269,7 +264,7 @@ def _fail_if_interpolation_axes_are_not_last(space_info: SpaceInfo) -> None:
     """Fail if the interpolation axes are not the last elements in axis_names.
 
     Args:
-        space_info: Namedtuple containing all information needed to interpret the
+        space_info: Class containing all information needed to interpret the
             precalculated values of a function.
 
     Raises:
diff --git a/src/lcm/functools.py b/src/lcm/functools.py
index 811fa875..58a1d9b7 100644
--- a/src/lcm/functools.py
+++ b/src/lcm/functools.py
@@ -41,12 +41,14 @@ def func_with_only_kwargs(*args, **kwargs):
                 ),
             )
 
-        if extra := set(kwargs).difference(parameters):
+        extra = set(kwargs).difference(parameters)
+        if extra:
             raise ValueError(
                 f"Expected arguments: {list(parameters)}, got extra: {extra}",
             )
 
-        if missing := set(parameters).difference(kwargs):
+        missing = set(parameters).difference(kwargs)
+        if missing:
             raise ValueError(
                 f"Expected arguments: {list(parameters)}, missing: {missing}",
             )
diff --git a/src/lcm/grid_helpers.py b/src/lcm/grid_helpers.py
new file mode 100644
index 00000000..3f4c235c
--- /dev/null
+++ b/src/lcm/grid_helpers.py
@@ -0,0 +1,111 @@
+"""Functions to generate and work with different kinds of grids.
+
+Grid generation functions must have the following signature:
+
+    Signature (start: Scalar, stop: Scalar, n_points: int) -> jax.Array
+
+They take start and end points and create a grid of points between them.
+
+
+Interpolation info functions must have the following signature:
+
+    Signature (
+        value: Scalar,
+        start: Scalar,
+        stop: Scalar,
+        n_points: int
+    ) -> Scalar
+
+They take the information required to generate a grid, and return an index corresponding
+to the value, which is a point in the space but not necessarily a grid point.
+
+Some of the arguments will not be used by all functions but the aligned interface makes
+it easy to call functions interchangeably.
+
+"""
+
+import jax.numpy as jnp
+from jax import Array
+
+from lcm.typing import Scalar
+
+
+def linspace(start: Scalar, stop: Scalar, n_points: int) -> Array:
+    """Wrapper around jnp.linspace.
+
+    Returns a linearly spaced grid between start and stop with n_points, including both
+    endpoints.
+
+    """
+    return jnp.linspace(start, stop, n_points)
+
+
+def get_linspace_coordinate(
+    value: Scalar,
+    start: Scalar,
+    stop: Scalar,
+    n_points: int,
+) -> Scalar:
+    """Map a value into the input needed for jax.scipy.ndimage.map_coordinates."""
+    step_length = (stop - start) / (n_points - 1)
+    return (value - start) / step_length
+
+
+def logspace(start: Scalar, stop: Scalar, n_points: int) -> Array:
+    """Wrapper around jnp.logspace.
+
+    Returns a logarithmically spaced grid between start and stop with n_points,
+    including both endpoints.
+
+    From the JAX documentation:
+
+        In linear space, the sequence starts at base ** start (base to the power of
+        start) and ends with base ** stop [...].
+
+    """
+    start_linear = jnp.log(start)
+    stop_linear = jnp.log(stop)
+    return jnp.logspace(start_linear, stop_linear, n_points, base=jnp.e)
+
+
+def get_logspace_coordinate(
+    value: Scalar,
+    start: Scalar,
+    stop: Scalar,
+    n_points: int,
+) -> Scalar:
+    """Map a value into the input needed for jax.scipy.ndimage.map_coordinates."""
+    # Transform start, stop, and value to linear scale
+    start_linear = jnp.log(start)
+    stop_linear = jnp.log(stop)
+    value_linear = jnp.log(value)
+
+    # Calculate coordinate in linear space
+    coordinate_in_linear_space = get_linspace_coordinate(
+        value_linear,
+        start_linear,
+        stop_linear,
+        n_points,
+    )
+
+    # Calculate rank of lower and upper point in logarithmic space
+    rank_lower_gridpoint = jnp.floor(coordinate_in_linear_space)
+    rank_upper_gridpoint = rank_lower_gridpoint + 1
+
+    # Calculate lower and upper point in logarithmic space
+    step_length_linear = (stop_linear - start_linear) / (n_points - 1)
+    lower_gridpoint = jnp.exp(start_linear + step_length_linear * rank_lower_gridpoint)
+    upper_gridpoint = jnp.exp(start_linear + step_length_linear * rank_upper_gridpoint)
+
+    # Calculate the decimal part of coordinate
+    logarithmic_step_size_at_coordinate = upper_gridpoint - lower_gridpoint
+    distance_from_lower_gridpoint = value - lower_gridpoint
+
+    # If the distance from the lower gridpoint is zero, the coordinate corresponds to
+    # the rank of the lower gridpoint. The other extreme is when the distance is equal
+    # to the logarithmic step size at the coordinate, in which case the coordinate
+    # corresponds to the rank of the upper gridpoint. For values in between, the
+    # coordinate lies on a linear scale between the ranks of the lower and upper
+    # gridpoints.
+    decimal_part = distance_from_lower_gridpoint / logarithmic_step_size_at_coordinate
+    return rank_lower_gridpoint + decimal_part
diff --git a/src/lcm/grids.py b/src/lcm/grids.py
index 3f4c235c..21941b01 100644
--- a/src/lcm/grids.py
+++ b/src/lcm/grids.py
@@ -1,111 +1,192 @@
-"""Functions to generate and work with different kinds of grids.
+"""Collection of classes that are used by the user to define the model and grids."""
 
-Grid generation functions must have the following signature:
+from abc import ABC, abstractmethod
+from collections.abc import Collection
+from dataclasses import dataclass
 
-    Signature (start: Scalar, stop: Scalar, n_points: int) -> jax.Array
+import jax.numpy as jnp
+from jax import Array
 
-They take start and end points and create a grid of points between them.
+from lcm import grid_helpers
+from lcm.exceptions import GridInitializationError, format_messages
+from lcm.typing import Scalar
 
 
-Interpolation info functions must have the following signature:
+class Grid(ABC):
+    """LCM Grid base class."""
 
-    Signature (
-        value: Scalar,
-        start: Scalar,
-        stop: Scalar,
-        n_points: int
-    ) -> Scalar
+    @abstractmethod
+    def to_jax(self) -> jnp.ndarray:
+        """Convert the grid to a Jax array."""
 
-They take the information required to generate a grid, and return an index corresponding
-to the value, which is a point in the space but not necessarily a grid point.
 
-Some of the arguments will not be used by all functions but the aligned interface makes
-it easy to call functions interchangeably.
+@dataclass(frozen=True)
+class DiscreteGrid(Grid):
+    """A grid of discrete values.
 
-"""
+    Attributes:
+        options: The options in the grid. Must be an iterable of scalar int or float
+            values.
 
-import jax.numpy as jnp
-from jax import Array
+    """
 
-from lcm.typing import Scalar
+    options: Collection[int | float]
+
+    def __post_init__(self) -> None:
+        if not isinstance(self.options, Collection):
+            raise GridInitializationError(
+                "options must be a collection of scalar int or float values, e.g., a ",
+                "list or tuple",
+            )
+
+        errors = _validate_discrete_grid(self.options)
+        if errors:
+            msg = format_messages(errors)
+            raise GridInitializationError(msg)
+
+    def to_jax(self) -> Array:
+        """Convert the grid to a Jax array."""
+        return jnp.array(list(self.options))
 
 
-def linspace(start: Scalar, stop: Scalar, n_points: int) -> Array:
-    """Wrapper around jnp.linspace.
+@dataclass(frozen=True, kw_only=True)
+class ContinuousGrid(Grid, ABC):
+    """LCM Continuous Grid base class."""
 
-    Returns a linearly spaced grid between start and stop with n_points, including both
-    endpoints.
+    start: int | float
+    stop: int | float
+    n_points: int
+
+    def __post_init__(self) -> None:
+        errors = _validate_continuous_grid(
+            start=self.start,
+            stop=self.stop,
+            n_points=self.n_points,
+        )
+        if errors:
+            msg = format_messages(errors)
+            raise GridInitializationError(msg)
+
+    @abstractmethod
+    def to_jax(self) -> Array:
+        """Convert the grid to a Jax array."""
+
+    @abstractmethod
+    def get_coordinate(self, value: Scalar) -> Scalar:
+        """Get the generalized coordinate of a value in the grid."""
+
+
+class LinspaceGrid(ContinuousGrid):
+    """A linear grid of continuous values.
+
+    Example:
+    --------
+    Let `start = 1`, `stop = 100`, and `n_points = 3`. The grid is `[1, 50.5, 100]`.
+
+    Attributes:
+        start: The start value of the grid. Must be a scalar int or float value.
+        stop: The stop value of the grid. Must be a scalar int or float value.
+        n_points: The number of points in the grid. Must be an int greater than 0.
 
     """
-    return jnp.linspace(start, stop, n_points)
 
+    def to_jax(self) -> Array:
+        """Convert the grid to a Jax array."""
+        return grid_helpers.linspace(self.start, self.stop, self.n_points)
 
-def get_linspace_coordinate(
-    value: Scalar,
-    start: Scalar,
-    stop: Scalar,
-    n_points: int,
-) -> Scalar:
-    """Map a value into the input needed for jax.scipy.ndimage.map_coordinates."""
-    step_length = (stop - start) / (n_points - 1)
-    return (value - start) / step_length
+    def get_coordinate(self, value: Scalar) -> Scalar:
+        """Get the generalized coordinate of a value in the grid."""
+        return grid_helpers.get_linspace_coordinate(
+            value, self.start, self.stop, self.n_points
+        )
+
+
+class LogspaceGrid(ContinuousGrid):
+    """A logarithmic grid of continuous values.
 
+    Example:
+    --------
+    Let `start = 1`, `stop = 100`, and `n_points = 3`. The grid is `[1, 10, 100]`.
 
-def logspace(start: Scalar, stop: Scalar, n_points: int) -> Array:
-    """Wrapper around jnp.logspace.
+    Attributes:
+        start: The start value of the grid. Must be a scalar int or float value.
+        stop: The stop value of the grid. Must be a scalar int or float value.
+        n_points: The number of points in the grid. Must be an int greater than 0.
 
-    Returns a logarithmically spaced grid between start and stop with n_points,
-    including both endpoints.
+    """
+
+    def to_jax(self) -> Array:
+        """Convert the grid to a Jax array."""
+        return grid_helpers.logspace(self.start, self.stop, self.n_points)
+
+    def get_coordinate(self, value: Scalar) -> Scalar:
+        """Get the generalized coordinate of a value in the grid."""
+        return grid_helpers.get_logspace_coordinate(
+            value, self.start, self.stop, self.n_points
+        )
+
+
+# ======================================================================================
+# Validate user input
+# ======================================================================================
 
-    From the JAX documentation:
 
-        In linear space, the sequence starts at base ** start (base to the power of
-        start) and ends with base ** stop [...].
+def _validate_discrete_grid(options: Collection[int | float]) -> list[str]:
+    """Validate the discrete grid options.
+
+    Args:
+        options: The user options to validate.
+
+    Returns:
+        list[str]: A list of error messages.
 
     """
-    start_linear = jnp.log(start)
-    stop_linear = jnp.log(stop)
-    return jnp.logspace(start_linear, stop_linear, n_points, base=jnp.e)
+    error_messages = []
+
+    if not len(options) > 0:
+        error_messages.append("options must contain at least one element")
+
+    if not all(isinstance(option, int | float) for option in options):
+        error_messages.append("options must contain only scalar int or float values")
+
+    if len(options) != len(set(options)):
+        error_messages.append("options must contain unique values")
 
+    return error_messages
 
-def get_logspace_coordinate(
-    value: Scalar,
-    start: Scalar,
-    stop: Scalar,
+
+def _validate_continuous_grid(
+    start: float,
+    stop: float,
     n_points: int,
-) -> Scalar:
-    """Map a value into the input needed for jax.scipy.ndimage.map_coordinates."""
-    # Transform start, stop, and value to linear scale
-    start_linear = jnp.log(start)
-    stop_linear = jnp.log(stop)
-    value_linear = jnp.log(value)
-
-    # Calculate coordinate in linear space
-    coordinate_in_linear_space = get_linspace_coordinate(
-        value_linear,
-        start_linear,
-        stop_linear,
-        n_points,
-    )
-
-    # Calculate rank of lower and upper point in logarithmic space
-    rank_lower_gridpoint = jnp.floor(coordinate_in_linear_space)
-    rank_upper_gridpoint = rank_lower_gridpoint + 1
-
-    # Calculate lower and upper point in logarithmic space
-    step_length_linear = (stop_linear - start_linear) / (n_points - 1)
-    lower_gridpoint = jnp.exp(start_linear + step_length_linear * rank_lower_gridpoint)
-    upper_gridpoint = jnp.exp(start_linear + step_length_linear * rank_upper_gridpoint)
-
-    # Calculate the decimal part of coordinate
-    logarithmic_step_size_at_coordinate = upper_gridpoint - lower_gridpoint
-    distance_from_lower_gridpoint = value - lower_gridpoint
-
-    # If the distance from the lower gridpoint is zero, the coordinate corresponds to
-    # the rank of the lower gridpoint. The other extreme is when the distance is equal
-    # to the logarithmic step size at the coordinate, in which case the coordinate
-    # corresponds to the rank of the upper gridpoint. For values in between, the
-    # coordinate lies on a linear scale between the ranks of the lower and upper
-    # gridpoints.
-    decimal_part = distance_from_lower_gridpoint / logarithmic_step_size_at_coordinate
-    return rank_lower_gridpoint + decimal_part
+) -> list[str]:
+    """Validate the continuous grid parameters.
+
+    Args:
+        start: The start value of the grid.
+        stop: The stop value of the grid.
+        n_points: The number of points in the grid.
+
+    Returns:
+        list[str]: A list of error messages.
+
+    """
+    error_messages = []
+
+    valid_start_type = isinstance(start, int | float)
+    if not valid_start_type:
+        error_messages.append("start must be a scalar int or float value")
+
+    valid_stop_type = isinstance(stop, int | float)
+    if not valid_stop_type:
+        error_messages.append("stop must be a scalar int or float value")
+
+    if not isinstance(n_points, int) or n_points < 1:
+        error_messages.append(
+            f"n_points must be an int greater than 0 but is {n_points}",
+        )
+
+    if valid_start_type and valid_stop_type and start >= stop:
+        error_messages.append("start must be less than stop")
+
+    return error_messages
diff --git a/src/lcm/input_processing/__init__.py b/src/lcm/input_processing/__init__.py
new file mode 100644
index 00000000..849cbdc9
--- /dev/null
+++ b/src/lcm/input_processing/__init__.py
@@ -0,0 +1,3 @@
+from .process_model import process_model
+
+__all__ = ["process_model"]
diff --git a/src/lcm/create_params_template.py b/src/lcm/input_processing/create_params_template.py
similarity index 69%
rename from src/lcm/create_params_template.py
rename to src/lcm/input_processing/create_params_template.py
index 92304cd6..7c550528 100644
--- a/src/lcm/create_params_template.py
+++ b/src/lcm/input_processing/create_params_template.py
@@ -6,39 +6,34 @@
 import pandas as pd
 from jax import Array
 
-from lcm.typing import Params, ScalarUserInput
-from lcm.user_input import Model
+from lcm.input_processing.util import get_grids, get_variable_info
+from lcm.typing import ParamsDict
+from lcm.user_model import Model
 
 
 def create_params_template(
-    user_model: Model,
-    variable_info: pd.DataFrame,
-    grids: dict[str, Array],
-    default_params: dict[str, ScalarUserInput] | None = None,
-) -> Params:
+    model: Model,
+    default_params: dict[str, float] = {"beta": jnp.nan},  # noqa: B006
+) -> ParamsDict:
     """Create parameter template from a model specification.
 
     Args:
-        user_model: The model as provided by the user.
-        variable_info: A dataframe with information about the variables.
-        grids: A dictionary of grids consistent with user_model.
+        model: The model as provided by the user.
         default_params: A dictionary of default parameters. Default is None. If None,
             the default {"beta": np.nan} is used. For other lifetime reward objectives,
             additional parameters may be required, for example {"beta": np.nan, "delta":
             np.nan} for beta-delta discounting.
 
     Returns:
-        dict: A nested dictionary of model parameters.
+        A nested dictionary of model parameters.
 
     """
-    if default_params is None:
-        # The default lifetime reward objective in LCM is expected discounted utility.
-        # For this objective the only additional parameter is the discounting rate beta.
-        default_params = {"beta": jnp.nan}
+    variable_info = get_variable_info(model)
+    grids = get_grids(model)
 
     if variable_info["is_stochastic"].any():
         stochastic_transitions = _create_stochastic_transition_params(
-            user_model=user_model,
+            model=model,
             variable_info=variable_info,
             grids=grids,
         )
@@ -46,12 +41,12 @@ def create_params_template(
     else:
         stochastic_transition_params = {}
 
-    function_params = _create_function_params(user_model)
+    function_params = _create_function_params(model)
 
     return default_params | function_params | stochastic_transition_params
 
 
-def _create_function_params(user_model: Model) -> Params:
+def _create_function_params(model: Model) -> dict[str, dict[str, float]]:
     """Get function parameters from a model specification.
 
     Explanation: We consider the arguments of all model functions, from which we exclude
@@ -60,29 +55,29 @@ def _create_function_params(user_model: Model) -> Params:
     user.
 
     Args:
-        user_model: The model as provided by the user.
+        model: The model as provided by the user.
 
     Returns:
-        dict: A dictionary for each model function, containing a parameters required in
-            the model functions, initialized with jnp.nan.
+        A dictionary for each model function, containing a parameters required in the
+            model functions, initialized with jnp.nan.
 
     """
     # Collect all model variables, that includes choices, states, the period, and
     # auxiliary variables (model function names).
     variables = {
-        *user_model.functions,
-        *user_model.choices,
-        *user_model.states,
+        *model.functions,
+        *model.choices,
+        *model.states,
         "_period",
     }
 
-    if hasattr(user_model, "shocks"):
-        variables = variables | set(user_model.shocks)
+    if hasattr(model, "shocks"):
+        variables = variables | set(model.shocks)
 
-    function_params: Params = {}
+    function_params = {}
     # For each model function, capture the arguments of the function that are not in the
     # set of model variables, and initialize them.
-    for name, func in user_model.functions.items():
+    for name, func in model.functions.items():
         arguments = set(inspect.signature(func).parameters)
         params = sorted(arguments.difference(variables))
         function_params[name] = {p: jnp.nan for p in params}
@@ -91,20 +86,20 @@ def _create_function_params(user_model: Model) -> Params:
 
 
 def _create_stochastic_transition_params(
-    user_model: Model,
+    model: Model,
     variable_info: pd.DataFrame,
     grids: dict[str, Array],
 ) -> dict[str, Array]:
     """Create parameters for stochastic transitions.
 
     Args:
-        user_model: The model as provided by the user.
+        model: The model as provided by the user.
         variable_info: A dataframe with information about the variables.
-        grids: A dictionary of grids consistent with user_model.
+        grids: A dictionary of grids consistent with model.
 
     Returns:
-        dict: A dictionary of parameters required for stochastic transitions,
-            initialized with jnp.nan matrices of the correct dimensions.
+        A dictionary of parameters required for stochastic transitions, initialized with
+            jnp.nan matrices of the correct dimensions.
 
     """
     stochastic_variables = variable_info.query("is_stochastic").index.tolist()
@@ -113,7 +108,8 @@ def _create_stochastic_transition_params(
     # ==================================================================================
     discrete_state_vars = set(variable_info.query("is_state & is_discrete").index)
 
-    if invalid := set(stochastic_variables) - discrete_state_vars:
+    invalid = set(stochastic_variables) - discrete_state_vars
+    if invalid:
         raise ValueError(
             f"The following variables are stochastic, but are not discrete state "
             f"variables: {invalid}. This is currently not supported.",
@@ -130,17 +126,18 @@ def _create_stochastic_transition_params(
 
     for var in stochastic_variables:
         # Retrieve corresponding next function and its arguments
-        next_var = user_model.functions[f"next_{var}"]
+        next_var = model.functions[f"next_{var}"]
         dependencies = list(inspect.signature(next_var).parameters)
 
         # If there are invalid dependencies, store them in a dictionary and continue
         # with the next variable to collect as many invalid arguments as possible.
-        if invalid := set(dependencies) - valid_vars:
+        invalid = set(dependencies) - valid_vars
+        if invalid:
             invalid_dependencies[var] = invalid
         else:
             # Get the dimensions of variables that influence the stochastic variable
             dimensions_of_deps = [
-                len(grids[arg]) if arg != "_period" else user_model.n_periods
+                len(grids[arg]) if arg != "_period" else model.n_periods
                 for arg in dependencies
             ]
             # Add the dimension of the stochastic variable itself at the end
diff --git a/src/lcm/input_processing/process_model.py b/src/lcm/input_processing/process_model.py
new file mode 100644
index 00000000..c615aea9
--- /dev/null
+++ b/src/lcm/input_processing/process_model.py
@@ -0,0 +1,301 @@
+import functools
+import inspect
+from collections.abc import Callable
+from copy import deepcopy
+
+import pandas as pd
+from dags.signature import with_signature
+from jax import Array
+
+from lcm.functools import all_as_args, all_as_kwargs
+from lcm.grids import DiscreteGrid
+from lcm.input_processing.create_params_template import create_params_template
+from lcm.input_processing.util import (
+    get_function_info,
+    get_grids,
+    get_gridspecs,
+    get_variable_info,
+)
+from lcm.interfaces import InternalModel
+from lcm.typing import ParamsDict, ShockType
+from lcm.user_model import Model
+
+
+def process_model(model: Model) -> InternalModel:
+    """Process the user model.
+
+    This entails the following steps:
+
+    - Set defaults where needed
+    - Generate derived information
+    - Check that the model specification is valid.
+
+    Args:
+        model: The model as provided by the user.
+
+    Returns:
+        The processed model.
+
+    """
+    discrete_vars_to_update = _get_discrete_vars_with_non_index_options(model)
+    if discrete_vars_to_update:
+        model = _get_model_with_only_index_options(model, discrete_vars_to_update)
+
+    params = create_params_template(model)
+
+    return InternalModel(
+        grids=get_grids(model),
+        gridspecs=get_gridspecs(model),
+        variable_info=get_variable_info(model),
+        functions=_get_internal_functions(model, params=params),
+        function_info=get_function_info(model),
+        params=params,
+        # currently no additive utility shocks are supported
+        random_utility_shocks=ShockType.NONE,
+        n_periods=model.n_periods,
+    )
+
+
+def _get_internal_functions(
+    model: Model,
+    params: ParamsDict,
+) -> dict[str, Callable]:
+    """Process the user provided model functions.
+
+    Args:
+        model: The model as provided by the user.
+        params: The parameters of the model.
+
+    Returns:
+        dict: Dictionary containing all functions of the model. The keys are
+            the names of the functions. The values are the processed functions.
+            The main difference between processed and unprocessed functions is that
+            processed functions take `params` as argument unless they are filter
+            functions.
+
+    """
+    variable_info = get_variable_info(model)
+    grids = get_grids(model)
+    function_info = get_function_info(model)
+
+    raw_functions = deepcopy(model.functions)
+
+    for var in model.states:
+        if variable_info.loc[var, "is_stochastic"]:
+            raw_functions[f"next_{var}"] = _get_stochastic_next_function(
+                raw_func=raw_functions[f"next_{var}"],
+                grid=grids[var],
+            )
+
+            raw_functions[f"weight_next_{var}"] = _get_stochastic_weight_function(
+                raw_func=raw_functions[f"next_{var}"],
+                name=var,
+                variable_info=variable_info,
+            )
+
+    # ==================================================================================
+    # Add 'params' argument to functions
+    # ==================================================================================
+    # We wrap the user functions such that they can be called with the 'params' argument
+    # instead of the individual parameters. This is done for all functions except for
+    # filter functions, because they cannot depend on model parameters; and dynamically
+    # generated weighting functions for stochastic next functions, since they are
+    # constructed to accept the 'params' argument by default.
+
+    functions = {}
+    for name, func in raw_functions.items():
+        is_weight_next_function = name.startswith("weight_next_")
+
+        if is_weight_next_function:
+            processed_func = func
+
+        else:
+            is_filter_function = function_info.loc[name, "is_filter"]
+            # params[name] contains the dictionary of parameters for the function, which
+            # is empty if the function does not depend on any model parameters.
+            depends_on_params = bool(params[name])
+
+            if is_filter_function:
+                if params.get(name, False):
+                    raise ValueError(
+                        f"filters cannot depend on model parameters, but {name} does."
+                    )
+                processed_func = func
+
+            elif depends_on_params:
+                processed_func = _replace_func_parameters_by_params(
+                    func=func,
+                    params=params,
+                    name=name,
+                )
+
+            else:
+                processed_func = _add_dummy_params_argument(func)
+
+        functions[name] = processed_func
+
+    return functions
+
+
+def _replace_func_parameters_by_params(
+    func: Callable, params: ParamsDict, name: str
+) -> Callable:
+    old_signature = list(inspect.signature(func).parameters)
+    new_kwargs = [
+        p
+        for p in old_signature
+        if p not in params[name]  # type: ignore[operator]
+    ] + ["params"]
+
+    @with_signature(args=new_kwargs)
+    @functools.wraps(func)
+    def processed_func(*args, **kwargs):
+        kwargs = all_as_kwargs(args, kwargs, arg_names=new_kwargs)
+        _kwargs = {k: v for k, v in kwargs.items() if k in new_kwargs and k != "params"}
+        return func(**_kwargs, **kwargs["params"][name])
+
+    return processed_func
+
+
+def _add_dummy_params_argument(func: Callable) -> Callable:
+    old_signature = list(inspect.signature(func).parameters)
+
+    new_kwargs = [*old_signature, "params"]
+
+    @with_signature(args=new_kwargs)
+    @functools.wraps(func)
+    def processed_func(*args, **kwargs):
+        kwargs = all_as_kwargs(args, kwargs, arg_names=new_kwargs)
+        _kwargs = {k: v for k, v in kwargs.items() if k != "params"}
+        return func(**_kwargs)
+
+    return processed_func
+
+
+def _get_stochastic_next_function(raw_func: Callable, grid: Array):
+    @functools.wraps(raw_func)
+    def next_func(*args, **kwargs):  # noqa: ARG001
+        return grid
+
+    return next_func
+
+
+def _get_stochastic_weight_function(
+    raw_func: Callable, name: str, variable_info: pd.DataFrame
+):
+    """Get a function that returns the transition weights of a stochastic variable.
+
+    Example:
+    Consider a stochastic variable 'health' that takes two values {0, 1}. The transition
+    matrix is thus 2x2. We create the weighting function and then select the weights
+    that correspond to the case where 'health' is 0.
+
+    >>> from lcm.mark import StochasticInfo
+    >>> def next_health(health):
+    >>>     pass
+    >>> next_health._stochastic_info = StochasticInfo()
+    >>> params = {"shocks": {"health": np.arange(4).reshape(2, 2)}}
+    >>> weight_func = _get_stochastic_weight_function(
+    >>>     raw_func=next_health,
+    >>>     name="health"
+    >>>     variable_info=variable_info,
+    >>>     grids=grids,
+    >>> )
+    >>> weight_func(health=0, params=params)
+    >>> array([0, 1])
+
+
+    Args:
+        raw_func: The raw next function of the stochastic variable.
+        name: The name of the stochastic variable.
+        variable_info: A table with information about model variables.
+
+    Returns:
+        callable: A function that returns the transition weights of the stochastic
+            variable.
+
+    """
+    function_parameters = list(inspect.signature(raw_func).parameters)
+
+    # Assert that stochastic next function only depends on discrete variables or period
+    invalid = {
+        arg
+        for arg in function_parameters
+        if arg != "_period" and not variable_info.loc[arg, "is_discrete"]
+    }
+
+    if invalid:
+        raise ValueError(
+            "Stochastic variables can only depend on discrete variables and '_period', "
+            f"but {name} depends on {invalid}.",
+        )
+
+    new_kwargs = [*function_parameters, "params"]
+
+    @with_signature(args=new_kwargs)
+    def weight_func(*args, **kwargs):
+        args = all_as_args(args, kwargs, arg_names=new_kwargs)
+        params = args[-1]  # by definition of new_kargs, params is the last argument
+        # By assumption, all discrete variables that LCM handles internally are
+        # themselves indices (i.e. a range starting at 0 with a step size of 1).
+        # Therefore, the arguments themselves are the indices. For the special variable
+        # '_period' the same holds.
+        indices = args[:-1]
+        return params["shocks"][name][*indices]
+
+    return weight_func
+
+
+def _get_discrete_vars_with_non_index_options(model: Model) -> list[str]:
+    gridspecs = get_gridspecs(model)
+    discrete_vars = []
+    for name, spec in gridspecs.items():
+        if isinstance(spec, DiscreteGrid) and list(spec.options) != list(
+            range(len(spec.options))
+        ):
+            discrete_vars.append(name)
+    return discrete_vars
+
+
+def _get_model_with_only_index_options(
+    model: Model,
+    discrete_vars_to_update: list[str],
+) -> Model:
+    """Update the user model to ensure that discrete variables have index options."""
+    gridspecs = get_gridspecs(model)
+
+    functions = model.functions.copy()
+    states = model.states.copy()
+    choices = model.choices.copy()
+
+    for var in discrete_vars_to_update:
+        grid = gridspecs[var]
+        if isinstance(grid, DiscreteGrid):
+            index_grid = DiscreteGrid(options=list(range(len(grid.options))))
+
+        if var in states:
+            states.pop(var)
+            states[f"__{var}_index__"] = index_grid
+        else:
+            choices.pop(var)
+            choices[f"__{var}_index__"] = index_grid
+
+        functions[var] = _get_index_to_label_func(gridspecs[var].to_jax(), name=var)
+
+    return model.replace(
+        states=states,
+        choices=choices,
+        functions=functions,
+    )
+
+
+def _get_index_to_label_func(labels_array, name):
+    arg_name = f"__{name}_index__"
+
+    @with_signature(args=[arg_name])
+    def func(*args, **kwargs):
+        kwargs = all_as_kwargs(args, kwargs, arg_names=[arg_name])
+        index = kwargs[arg_name]
+        return labels_array[index]
+
+    return func
diff --git a/src/lcm/input_processing/util.py b/src/lcm/input_processing/util.py
new file mode 100644
index 00000000..70a1a304
--- /dev/null
+++ b/src/lcm/input_processing/util.py
@@ -0,0 +1,165 @@
+from collections.abc import Callable
+
+import pandas as pd
+from dags import get_ancestors
+
+from lcm.grids import ContinuousGrid, Grid
+from lcm.typing import Array
+from lcm.user_model import Model
+
+
+def get_function_info(model: Model) -> pd.DataFrame:
+    """Derive information about functions in the model.
+
+    Args:
+        model: The model as provided by the user.
+
+    Returns:
+        pd.DataFrame: A table with information about all functions in the model. The
+            index contains the name of a model function. The columns are booleans that
+            are True if the function has the corresponding property. The columns are:
+            is_next, is_stochastic_next, is_filter, is_constraint.
+
+    """
+    info = pd.DataFrame(index=list(model.functions))
+    info["is_filter"] = info.index.str.endswith("_filter")
+    info["is_constraint"] = info.index.str.endswith("_constraint")
+    info["is_next"] = (
+        info.index.str.startswith("next_") & ~info["is_constraint"] & ~info["is_filter"]
+    )
+    info["is_stochastic_next"] = [
+        hasattr(func, "_stochastic_info") for func in model.functions.values()
+    ]
+    return info
+
+
+def get_variable_info(model: Model) -> pd.DataFrame:
+    """Derive information about all variables in the model.
+
+    Args:
+        model: The model as provided by the user.
+
+    Returns:
+        pd.DataFrame: A table with information about all variables in the model. The
+            index contains the name of a model variable. The columns are booleans that
+            are True if the variable has the corresponding property. The columns are:
+            is_state, is_choice, is_continuous, is_discrete, is_sparse, is_dense.
+
+    """
+    function_info = get_function_info(model)
+
+    variables = model.states | model.choices
+
+    info = pd.DataFrame(index=list(variables))
+
+    info["is_state"] = info.index.isin(model.states)
+    info["is_choice"] = ~info["is_state"]
+
+    info["is_continuous"] = [
+        isinstance(spec, ContinuousGrid) for spec in variables.values()
+    ]
+    info["is_discrete"] = ~info["is_continuous"]
+
+    info["is_stochastic"] = [
+        (var in model.states and function_info.loc[f"next_{var}", "is_stochastic_next"])
+        for var in variables
+    ]
+
+    auxiliary_variables = _get_auxiliary_variables(
+        state_variables=info.query("is_state").index.tolist(),
+        function_info=function_info,
+        user_functions=model.functions,
+    )
+    info["is_auxiliary"] = [var in auxiliary_variables for var in variables]
+
+    filter_names = function_info.query("is_filter").index.tolist()
+    filtered_variables: set[str] = set()
+    for name in filter_names:
+        filtered_variables.update(get_ancestors(model.functions, name))
+
+    info["is_sparse"] = [var in filtered_variables for var in variables]
+    info["is_dense"] = ~info["is_sparse"]
+
+    order = info.query("is_sparse & is_state").index.tolist()
+    order += info.query("is_sparse & is_choice").index.tolist()
+    order += info.query("is_dense & is_discrete & is_state").index.tolist()
+    order += info.query("is_dense & is_discrete & is_choice").index.tolist()
+    order += info.query("is_dense & is_continuous & is_state").index.tolist()
+    order += info.query("is_dense & is_continuous & is_choice").index.tolist()
+
+    if set(order) != set(info.index):
+        raise ValueError("Order and index do not match.")
+
+    return info.loc[order]
+
+
+def _get_auxiliary_variables(
+    state_variables: list[str],
+    function_info: pd.DataFrame,
+    user_functions: dict[str, Callable],
+) -> list[str]:
+    """Get state variables that only occur in next functions.
+
+    Args:
+        state_variables: List of state variable names.
+        function_info: A table with information about all
+            functions in the model. The index contains the name of a function. The
+            columns are booleans that are True if the function has the corresponding
+            property. The columns are: is_filter, is_constraint, is_next.
+        user_functions: Dictionary that maps names of functions to functions.
+
+    Returns:
+        list[str]: List of state variable names that are only used in next functions.
+
+    """
+    non_next_functions = function_info.query("~is_next").index.tolist()
+    user_functions = {name: user_functions[name] for name in non_next_functions}
+    ancestors = get_ancestors(
+        user_functions,
+        targets=list(user_functions),
+        include_targets=True,
+    )
+    return list(set(state_variables).difference(set(ancestors)))
+
+
+def get_gridspecs(
+    model: Model,
+) -> dict[str, Grid]:
+    """Create a dictionary of grid specifications for each variable in the model.
+
+    Args:
+        model (dict): The model as provided by the user.
+
+    Returns:
+        dict: Dictionary containing all variables of the model. The keys are
+            the names of the variables. The values describe which values the variable
+            can take. For discrete variables these are the options. For continuous
+            variables this is information about how to build the grids.
+
+    """
+    variable_info = get_variable_info(model)
+
+    raw_variables = model.states | model.choices
+    order = variable_info.index.tolist()
+    return {k: raw_variables[k] for k in order}
+
+
+def get_grids(
+    model: Model,
+) -> dict[str, Array]:
+    """Create a dictionary of array grids for each variable in the model.
+
+    Args:
+        model: The model as provided by the user.
+
+    Returns:
+        dict: Dictionary containing all variables of the model. The keys are
+            the names of the variables. The values are the grids.
+
+    """
+    variable_info = get_variable_info(model)
+    gridspecs = get_gridspecs(model)
+
+    grids = {name: spec.to_jax() for name, spec in gridspecs.items()}
+    order = variable_info.index.tolist()
+    return {k: grids[k] for k in order}
diff --git a/src/lcm/interfaces.py b/src/lcm/interfaces.py
index 148e7122..9e71d810 100644
--- a/src/lcm/interfaces.py
+++ b/src/lcm/interfaces.py
@@ -1,11 +1,15 @@
-from typing import NamedTuple
+from collections.abc import Callable
+from dataclasses import dataclass
 
 import pandas as pd
+from jax import Array
 
-from lcm.typing import ContinuousGridType, DiscreteLabels, Scalar
+from lcm.grids import ContinuousGrid, DiscreteGrid, Grid
+from lcm.typing import ParamsDict, ShockType
 
 
-class IndexerInfo(NamedTuple):
+@dataclass(frozen=True)
+class IndexerInfo:
     """Information needed to work with an indexer array.
 
     In particular, this contains enough information to wrap an indexer array into a
@@ -26,39 +30,8 @@ class IndexerInfo(NamedTuple):
     out_name: str
 
 
-class ContinuousGridInfo(NamedTuple):
-    """Information on how to build a grid for a continuous variable.
-
-    Attributes:
-        start (Scalar): Start of the grid.
-        stop (Scalar): End of the grid.
-        n_points (int): Number of points in the grid.
-
-    """
-
-    start: Scalar
-    stop: Scalar
-    n_points: int
-
-
-class InterpolationInfo(NamedTuple):
-    """Interpolation info for a grid of continuous variables.
-
-    Contains all information necessary to build and work with a grid of a continuous
-    variable.
-
-    Attributes:
-        kind (ContinuousGridType): Name of a grid type implemented in lcm.grids.
-        info (ContinuousGridInfo): Information on how to build the grid. E.g., start,
-            stop, and n_points.
-
-    """
-
-    kind: ContinuousGridType
-    info: ContinuousGridInfo
-
-
-class Space(NamedTuple):
+@dataclass(frozen=True)
+class Space:
     """Everything needed to evaluate a function on a space (e.g. state space).
 
     Attributes:
@@ -70,11 +43,12 @@ class Space(NamedTuple):
 
     """
 
-    sparse_vars: dict
-    dense_vars: dict
+    sparse_vars: dict[str, Array]
+    dense_vars: dict[str, Array]
 
 
-class SpaceInfo(NamedTuple):
+@dataclass(frozen=True)
+class SpaceInfo:
     """Everything needed to work with the output of a function evaluated on a space.
 
     Attributes:
@@ -89,46 +63,47 @@ class SpaceInfo(NamedTuple):
     """
 
     axis_names: list[str]
-    lookup_info: dict[str, DiscreteLabels]
-    interpolation_info: dict[str, InterpolationInfo]
+    lookup_info: dict[str, DiscreteGrid]
+    interpolation_info: dict[str, ContinuousGrid]
     indexer_infos: list[IndexerInfo]
 
 
-class InternalModel(NamedTuple):
+@dataclass(frozen=True)
+class InternalModel:
     """Internal representation of a user model.
 
     Attributes:
-        grids (dict): Dictionary that maps names of model variables to grids of feasible
-            values for that variable.
-        gridspecs (dict): Dictionary that maps names of model variables to
-            specifications from which grids of feasible values can be built.
-        variable_info (pd.DataFrame): A table with information about all variables in
-            the model. The index contains the name of a model variable. The columns are
-            booleans that are True if the variable has the corresponding property. The
-            columns are: is_state, is_choice, is_continuous, is_discrete, is_sparse,
-            is_dense.
-        functions (dict): Dictionary that maps names of functions to functions. The
-            functions differ from the user functions in that they all except the
-            filter functions take ``params`` as keyword argument. If the original
-            function depended on model parameters, those are automatically extracted
-            from ``params`` and passed to the original function. Otherwise, the
-            ``params`` argument is simply ignored.
-        function_info (pd.DataFrame): A table with information about all functions in
-            the model. The index contains the name of a function. The columns are
-            booleans that are True if the function has the corresponding property. The
-            columns are: is_filter, is_constraint, is_next.
-        params (dict): Dict of model parameters.
-        shocks (dict): TODO
-        n_periods (int): TODO
+        grids: Dictionary that maps names of model variables to grids of feasible values
+            for that variable.
+        gridspecs: Dictionary that maps names of model variables to specifications from
+            which grids of feasible values can be built.
+        variable_info: A table with information about all variables in the model. The
+            index contains the name of a model variable. The columns are booleans that
+            are True if the variable has the corresponding property. The columns are:
+            is_state, is_choice, is_continuous, is_discrete, is_sparse, columns are:
+            is_state, is_choice, is_continuous, is_discrete, is_sparse, is_dense.
+        functions: Dictionary that maps names of functions to functions. The functions
+            differ from the user functions in that they all except the filter functions
+            take ``params`` as keyword argument. If the original function depended on
+            model parameters, those are automatically extracted from ``params`` and
+            passed to the original function. Otherwise, the ``params`` argument is
+            simply ignored.
+        function_info: A table with information about all functions in the model. The
+            index contains the name of a function. The columns are booleans that are
+            True if the function has the corresponding property. The columns are:
+            is_filter, is_constraint, is_next.
+        params: Dict of model parameters.
+        n_periods: Number of periods.
+        random_utility_shocks: Type of random utility shocks.
 
     """
 
-    grids: dict
-    gridspecs: dict
+    grids: dict[str, Array]
+    gridspecs: dict[str, Grid]
     variable_info: pd.DataFrame
-    functions: dict
+    functions: dict[str, Callable]
     function_info: pd.DataFrame
-    params: dict
-    # not really processed yet
-    shocks: dict
+    params: ParamsDict
     n_periods: int
+    # Not properly processed yet
+    random_utility_shocks: ShockType
diff --git a/src/lcm/mark.py b/src/lcm/mark.py
index 8e5574ae..854e49a4 100644
--- a/src/lcm/mark.py
+++ b/src/lcm/mark.py
@@ -1,10 +1,11 @@
 """Collection of LCM marking decorators."""
 
 import functools
-from typing import NamedTuple
+from dataclasses import dataclass
 
 
-class StochasticInfo(NamedTuple):
+@dataclass(frozen=True)
+class StochasticInfo:
     """Information on the stochastic nature of user provided functions."""
 
 
diff --git a/src/lcm/model_functions.py b/src/lcm/model_functions.py
index 2146a912..a744ec34 100644
--- a/src/lcm/model_functions.py
+++ b/src/lcm/model_functions.py
@@ -11,11 +11,12 @@
     all_as_kwargs,
     get_union_of_arguments,
 )
+from lcm.interfaces import InternalModel
 from lcm.next_state import get_next_state_function
 
 
 def get_utility_and_feasibility_function(
-    model,
+    model: InternalModel,
     space_info,
     name_of_values_on_grid,
     interpolation_options,
@@ -66,7 +67,7 @@ def get_utility_and_feasibility_function(
     # ==================================================================================
 
     arg_names = {"vf_arr"} | get_union_of_arguments(relevant_functions) - {"_period"}
-    arg_names = [arg for arg in arg_names if "next_" not in arg]
+    arg_names = [arg for arg in arg_names if "next_" not in arg]  # type: ignore[assignment]
 
     if is_last_period:
 
@@ -153,11 +154,11 @@ def _outer(*args, **kwargs):
     return productmap(_outer, variables=arg_names)
 
 
-def get_combined_constraint(model):
+def get_combined_constraint(model: InternalModel):
     """Create a function that combines all constraint functions into a single one.
 
     Args:
-        model (Model): The model object.
+        model: The internal model object.
 
     Returns:
         callable
@@ -179,7 +180,7 @@ def combined_constraint():
     return combined_constraint
 
 
-def get_current_u_and_f(model):
+def get_current_u_and_f(model: InternalModel):
     functions = {"feasibility": get_combined_constraint(model), **model.functions}
 
     return concatenate_functions(
@@ -189,7 +190,7 @@ def get_current_u_and_f(model):
     )
 
 
-def get_next_weights_function(model):
+def get_next_weights_function(model: InternalModel):
     targets = [
         f"weight_{name}"
         for name in model.function_info.query("is_stochastic_next").index.tolist()
diff --git a/src/lcm/next_state.py b/src/lcm/next_state.py
index 220cb77a..30aa410f 100644
--- a/src/lcm/next_state.py
+++ b/src/lcm/next_state.py
@@ -11,10 +11,11 @@
 from dags.signature import with_signature
 
 from lcm.functools import all_as_args
+from lcm.interfaces import InternalModel
 from lcm.random_choice import random_choice
 
 
-def get_next_state_function(model, target):
+def get_next_state_function(model: InternalModel, target):
     if target == "solve":
         out = _get_next_state_function_solution(model)
     elif target == "simulate":
@@ -30,11 +31,11 @@ def get_next_state_function(model, target):
 # ======================================================================================
 
 
-def _get_next_state_function_solution(model):
+def _get_next_state_function_solution(model: InternalModel):
     """Get function that computes the next states for the solution.
 
     Args:
-        model (Model): Model instance.
+        model: Model instance.
 
     Returns:
         callable: Function that computes the next states. Depends on states and choices
@@ -56,11 +57,11 @@ def _get_next_state_function_solution(model):
 # ======================================================================================
 
 
-def _get_next_state_function_simulation(model):
+def _get_next_state_function_simulation(model: InternalModel):
     """Get function that computes the next states for the simulation.
 
     Args:
-        model (Model): Model instance.
+        model: Model instance.
 
     Returns:
         callable: Function that computes the next states. Depends on states and choices
diff --git a/src/lcm/process_model.py b/src/lcm/process_model.py
deleted file mode 100644
index c5a5d05c..00000000
--- a/src/lcm/process_model.py
+++ /dev/null
@@ -1,491 +0,0 @@
-import functools
-import inspect
-from collections.abc import Callable
-from copy import deepcopy
-
-import pandas as pd
-from dags import get_ancestors
-from dags.signature import with_signature
-from jax import Array
-import jax.numpy as jnp
-
-from lcm.create_params_template import create_params_template
-from lcm.functools import all_as_args, all_as_kwargs
-from lcm.interfaces import InternalModel
-from lcm.typing import Params
-from lcm.user_input import (
-    ContinuousGrid,
-    DiscreteGrid,
-    Grid,
-    Model,
-)
-
-
-def process_model(user_model: Model) -> InternalModel:
-    """Process the user model.
-
-    This entails the following steps:
-
-    - Set defaults where needed
-    - Generate derived information
-    - Check that the model specification is valid.
-
-    Args:
-        user_model: The model as provided by the user.
-
-    Returns:
-        The processed model.
-
-    """
-    function_info = _get_function_info(user_model)
-
-    variable_info = _get_variable_info(
-        user_model,
-        function_info=function_info,
-    )
-
-    gridspecs = _get_gridspecs(user_model, variable_info=variable_info)
-
-    if discrete_vars_to_update := _discrete_vars_with_non_index_options(gridspecs):
-
-        updated_user_model = _update_user_model(
-            user_model,
-            gridspecs,
-            discrete_vars_to_update,
-        )
-
-        out = process_model(updated_user_model)
-    
-    else:
-
-        grids = _get_grids(gridspecs=gridspecs, variable_info=variable_info)
-
-        params = create_params_template(
-            user_model,
-            variable_info=variable_info,
-            grids=grids,
-        )
-
-        functions = _get_functions(
-            user_model,
-            function_info=function_info,
-            variable_info=variable_info,
-            params=params,
-            grids=grids,
-        )
-        out = InternalModel(
-            grids=grids,
-            gridspecs=gridspecs,
-            variable_info=variable_info,
-            functions=functions,
-            function_info=function_info,
-            params=params,
-            shocks=user_model.shocks if hasattr(user_model, "shocks") else {},
-            n_periods=user_model.n_periods,
-        )
-    
-    return out
-
-
-def _discrete_vars_with_non_index_options(gridspecs: dict[str, Grid]) -> list[str]:
-    vars = []
-    for name, spec in gridspecs.items():
-        if isinstance(spec, DiscreteGrid):
-            if list(spec.options) != list(range(len(spec.options))):
-                vars.append(name)
-    return vars
-
-
-def _update_user_model(
-    user_model: Model,
-    gridspecs: dict[str, Grid],
-    discrete_vars_to_update: list[str],
-) -> Model:
-    """Update the user model to ensure that discrete variables have index options."""
-    functions = user_model.functions
-    states = user_model.states
-    choices = user_model.choices
-
-    for var in discrete_vars_to_update:
-        
-        index_grid = DiscreteGrid(options=list(range(len(gridspecs[var].options))))
-        
-        if var in states:
-            states.pop(var)
-            states[f"__{var}_index__"] = index_grid
-        else:
-            choices.pop(var)
-            choices[f"__{var}_index__"] = index_grid
-
-        functions[var] = _get_index_to_label_func(gridspecs[var].options, name=var)
-        
-    return user_model.replace(
-        states=states,
-        choices=choices,
-        functions=functions,
-    )
-
-
-def _get_index_to_label_func(options, name):
-    
-    options_array = jnp.asarray(options)
-    
-    arg_name = f"__{name}_index__"
-
-    @with_signature(args=[arg_name])
-    def func(*args, **kwargs):
-        kwargs = all_as_kwargs(args, kwargs, arg_names=[arg_name])
-        index = kwargs[arg_name]
-        return options_array[index]
-    
-    return func
-
-
-
-
-def _get_function_info(user_model: Model) -> pd.DataFrame:
-    """Derive information about functions in the model.
-
-    Args:
-        user_model: The model as provided by the user.
-
-    Returns:
-        pd.DataFrame: A table with information about all functions in the model. The
-            index contains the name of a model function. The columns are booleans that
-            are True if the function has the corresponding property. The columns are:
-            is_next, is_stochastic_next, is_filter, is_constraint.
-
-    """
-    info = pd.DataFrame(index=list(user_model.functions))
-    info["is_filter"] = info.index.str.endswith("_filter")
-    info["is_constraint"] = info.index.str.endswith("_constraint")
-    info["is_next"] = (
-        info.index.str.startswith("next_") & ~info["is_constraint"] & ~info["is_filter"]
-    )
-    info["is_stochastic_next"] = [
-        hasattr(func, "_stochastic_info") for func in user_model.functions.values()
-    ]
-    return info
-
-
-def _get_variable_info(user_model: Model, function_info: pd.DataFrame) -> pd.DataFrame:
-    """Derive information about all variables in the model.
-
-    Args:
-        user_model: The model as provided by the user.
-        function_info: A table with information about all functions in the model. The
-            index contains the name of a function. The columns are booleans that are
-            True if the function has the corresponding property. The columns are:
-            is_filter, is_constraint, is_next, is_stochastic_next.
-
-    Returns:
-        pd.DataFrame: A table with information about all variables in the model. The
-            index contains the name of a model variable. The columns are booleans that
-            are True if the variable has the corresponding property. The columns are:
-            is_state, is_choice, is_continuous, is_discrete, is_sparse, is_dense.
-
-    """
-    variables = user_model.states | user_model.choices
-
-    info = pd.DataFrame(index=list(variables))
-
-    info["is_state"] = info.index.isin(user_model.states)
-    info["is_choice"] = ~info["is_state"]
-
-    info["is_continuous"] = [
-        isinstance(spec, ContinuousGrid) for spec in variables.values()
-    ]
-    info["is_discrete"] = ~info["is_continuous"]
-
-    info["is_stochastic"] = [
-        (
-            var in user_model.states
-            and function_info.loc[f"next_{var}", "is_stochastic_next"]
-        )
-        for var in variables
-    ]
-
-    auxiliary_variables = _get_auxiliary_variables(
-        state_variables=info.query("is_state").index.tolist(),
-        function_info=function_info,
-        user_functions=user_model.functions,
-    )
-    info["is_auxiliary"] = [var in auxiliary_variables for var in variables]
-
-    filter_names = function_info.query("is_filter").index.tolist()
-    filtered_variables: set[str] = set()
-    for name in filter_names:
-        filtered_variables.update(get_ancestors(user_model.functions, name))
-
-    info["is_sparse"] = [var in filtered_variables for var in variables]
-    info["is_dense"] = ~info["is_sparse"]
-
-    order = info.query("is_sparse & is_state").index.tolist()
-    order += info.query("is_sparse & is_choice").index.tolist()
-    order += info.query("is_dense & is_discrete & is_state").index.tolist()
-    order += info.query("is_dense & is_discrete & is_choice").index.tolist()
-    order += info.query("is_dense & is_continuous & is_state").index.tolist()
-    order += info.query("is_dense & is_continuous & is_choice").index.tolist()
-
-    if set(order) != set(info.index):
-        raise ValueError("Order and index do not match.")
-
-    return info.loc[order]
-
-
-def _get_auxiliary_variables(
-    state_variables: list[str],
-    function_info: pd.DataFrame,
-    user_functions: dict[str, Callable],
-) -> list[str]:
-    """Get state variables that only occur in next functions.
-
-    Args:
-        state_variables: List of state variable names.
-        function_info: A table with information about all
-            functions in the model. The index contains the name of a function. The
-            columns are booleans that are True if the function has the corresponding
-            property. The columns are: is_filter, is_constraint, is_next.
-        user_functions: Dictionary that maps names of functions to functions.
-
-    Returns:
-        list[str]: List of state variable names that are only used in next functions.
-
-    """
-    non_next_functions = function_info.query("~is_next").index.tolist()
-    user_functions = {name: user_functions[name] for name in non_next_functions}
-    ancestors = get_ancestors(
-        user_functions,
-        targets=list(user_functions),
-        include_targets=True,
-    )
-    return list(set(state_variables).difference(set(ancestors)))
-
-
-def _get_gridspecs(
-    user_model: Model,
-    variable_info: pd.DataFrame,
-) -> dict[str, Grid]:
-    """Create a dictionary of grid specifications for each variable in the model.
-
-    Args:
-        user_model (dict): The model as provided by the user.
-        variable_info (pandas.DataFrame): A table with information about all
-            variables in the model. The index contains the name of a model variable.
-            The columns are booleans that are True if the variable has the
-            corresponding property. The columns are: is_state, is_choice, is_continuous,
-            is_discrete, is_sparse, is_dense.
-
-    Returns:
-        dict: Dictionary containing all variables of the model. The keys are
-            the names of the variables. The values describe which values the variable
-            can take. For discrete variables these are the options. For continuous
-            variables this is information about how to build the grids.
-
-    """
-    raw_variables = user_model.states | user_model.choices
-    order = variable_info.index.tolist()
-    return {k: raw_variables[k] for k in order}
-
-
-def _get_grids(
-    gridspecs: dict[str, Grid],
-    variable_info: pd.DataFrame,
-) -> dict[str, Array]:
-    """Create a dictionary of array grids for each variable in the model.
-
-    Args:
-        gridspecs: Dictionary containing all variables of the model. The keys are the
-            names of the variables. The values describe which values the variable can
-            take. For discrete variables these are the options (jnp.array). For
-            continuous variables this is information about how to build the grids.
-        variable_info: A table with information about all variables in the model. The
-            index contains the name of a model variable. The columns are booleans that
-            are True if the variable has the corresponding property. The columns are:
-            is_state, is_choice, is_continuous, is_discrete, is_sparse, is_dense.
-
-    Returns:
-        dict: Dictionary containing all variables of the model. The keys are
-            the names of the variables. The values are the grids.
-
-    """
-    grids = {name: spec.to_jax() for name, spec in gridspecs.items()}
-    order = variable_info.index.tolist()
-    return {k: grids[k] for k in order}
-
-
-def _get_functions(
-    user_model: Model,
-    function_info: pd.DataFrame,
-    variable_info: pd.DataFrame,
-    grids: dict[str, Array],
-    params: Params,
-) -> dict[str, Callable]:
-    """Process the user provided model functions.
-
-    Args:
-        user_model (dict): The model as provided by the user.
-        function_info (pd.DataFrame): A table with information about model functions.
-        variable_info (pd.DataFrame): A table with information about model variables.
-        grids (dict): Dictionary containing all variables of the model. The keys are
-            the names of the variables. The values are the grids.
-        params (dict): The parameters of the model.
-
-    Returns:
-        dict: Dictionary containing all functions of the model. The keys are
-            the names of the functions. The values are the processed functions.
-            The main difference between processed and unprocessed functions is that
-            processed functions take `params` as argument unless they are filter
-            functions.
-
-    """
-    raw_functions = deepcopy(user_model.functions)
-
-    for var in user_model.states:
-        if variable_info.loc[var, "is_stochastic"]:
-            raw_functions[f"next_{var}"] = _get_stochastic_next_function(
-                raw_func=raw_functions[f"next_{var}"],
-                grid=grids[var],
-            )
-
-            raw_functions[f"weight_next_{var}"] = _get_stochastic_weight_function(
-                raw_func=raw_functions[f"next_{var}"],
-                name=var,
-                variable_info=variable_info,
-            )
-
-    # ==================================================================================
-    # Add 'params' argument to functions
-    # ==================================================================================
-    # We wrap the user functions such that they can be called with the 'params' argument
-    # instead of the individual parameters. This is done for all functions except for
-    # filter functions, because they cannot depend on model parameters; and dynamically
-    # generated weighting functions for stochastic next functions, since they are
-    # constructed to accept the 'params' argument by default.
-
-    functions = {}
-    for name, func in raw_functions.items():
-        is_weight_next_function = name.startswith("weight_next_")
-
-        if is_weight_next_function:
-            processed_func = func
-
-        else:
-            is_filter_function = function_info.loc[name, "is_filter"]
-            # params[name] contains the dictionary of parameters for the function
-            depends_on_params = bool(params[name])
-
-            if is_filter_function:
-                if params.get(name, {}):
-                    raise ValueError("filters cannot depend on model parameters.")
-                processed_func = func
-
-            elif depends_on_params:
-                processed_func = _get_extracting_function(
-                    func=func,
-                    params=params,
-                    name=name,
-                )
-
-            else:
-                processed_func = _get_function_with_dummy_params(func=func)
-
-        functions[name] = processed_func
-
-    return functions
-
-
-def _get_extracting_function(func, params, name):
-    old_signature = list(inspect.signature(func).parameters)
-    new_kwargs = [p for p in old_signature if p not in params[name]] + ["params"]
-
-    @with_signature(args=new_kwargs)
-    @functools.wraps(func)
-    def processed_func(*args, **kwargs):
-        kwargs = all_as_kwargs(args, kwargs, arg_names=new_kwargs)
-        _kwargs = {k: v for k, v in kwargs.items() if k in new_kwargs and k != "params"}
-        return func(**_kwargs, **kwargs["params"][name])
-
-    return processed_func
-
-
-def _get_function_with_dummy_params(func):
-    old_signature = list(inspect.signature(func).parameters)
-
-    new_kwargs = [*old_signature, "params"]
-
-    @with_signature(args=new_kwargs)
-    @functools.wraps(func)
-    def processed_func(*args, **kwargs):
-        kwargs = all_as_kwargs(args, kwargs, arg_names=new_kwargs)
-        _kwargs = {k: v for k, v in kwargs.items() if k != "params"}
-        return func(**_kwargs)
-
-    return processed_func
-
-
-def _get_stochastic_next_function(raw_func, grid):
-    @functools.wraps(raw_func)
-    def next_func(*args, **kwargs):  # noqa: ARG001
-        return grid
-
-    return next_func
-
-
-def _get_stochastic_weight_function(raw_func, name, variable_info):
-    """Get a function that returns the transition weights of a stochastic variable.
-
-    Example:
-    Consider a stochastic variable 'health' that takes two values {0, 1}. The transition
-    matrix is thus 2x2. We create the weighting function and then select the weights
-    that correspond to the case where 'health' is 0.
-
-    >>> from lcm.mark import StochasticInfo
-    >>> def next_health(health):
-    >>>     pass
-    >>> next_health._stochastic_info = StochasticInfo()
-    >>> params = {"shocks": {"health": np.arange(4).reshape(2, 2)}}
-    >>> weight_func = _get_stochastic_weight_function(
-    >>>     raw_func=next_health,
-    >>>     name="health"
-    >>>     variable_info=variable_info,
-    >>>     grids=grids,
-    >>> )
-    >>> weight_func(health=0, params=params)
-    >>> array([0, 1])
-
-
-    Args:
-        raw_func (callable): The raw next function of the stochastic variable.
-        name (str): The name of the stochastic variable.
-        variable_info (pd.DataFrame): A table with information about model variables.
-
-    Returns:
-        callable: A function that returns the transition weights of the stochastic
-            variable.
-
-    """
-    function_parameters = list(inspect.signature(raw_func).parameters)
-
-    # Assert that stochastic next function only depends on discrete variables or period
-    for arg in function_parameters:
-        if arg != "_period" and not variable_info.loc[arg, "is_discrete"]:
-            raise ValueError(
-                f"Stochastic variables can only depend on discrete variables and "
-                f"'_period', but {name} depends on {arg}.",
-            )
-
-    new_kwargs = [*function_parameters, "params"]
-
-    @with_signature(args=new_kwargs)
-    def weight_func(*args, **kwargs):
-        args = all_as_args(args, kwargs, arg_names=new_kwargs)
-        params = args[-1]  # by definition of new_kargs, params is the last argument
-        # By assumption, all discrete variables that LCM handles internally are
-        # themselves indices (i.e. a range starting at 0 with a step size of 1).
-        # Therefore, the arguments themselves are the indices. For the special variable
-        # '_period' the same holds.
-        indices = args[:-1]
-        return params["shocks"][name][*indices]
-
-    return weight_func
diff --git a/src/lcm/sandbox/state_space_jax_versus_numba.ipynb b/src/lcm/sandbox/state_space_jax_versus_numba.ipynb
index 784cf9c6..a8f034a6 100644
--- a/src/lcm/sandbox/state_space_jax_versus_numba.ipynb
+++ b/src/lcm/sandbox/state_space_jax_versus_numba.ipynb
@@ -812,14 +812,6 @@
    "source": [
     "plot_runtime(n_points_4d, runtime_numba_4d, runtime_jax_4d)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "36",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/src/lcm/simulate.py b/src/lcm/simulate.py
index 05c286f1..b804d3f0 100644
--- a/src/lcm/simulate.py
+++ b/src/lcm/simulate.py
@@ -9,17 +9,17 @@
 
 from lcm.argmax import argmax, segment_argmax
 from lcm.dispatchers import spacemap, vmap_1d
-from lcm.interfaces import Space
+from lcm.interfaces import InternalModel, Space
 
 
 def simulate(
     params,
+    initial_states,
     state_indexers,
     continuous_choice_grids,
     compute_ccv_policy_functions,
-    model,
+    model: InternalModel,
     next_state,
-    initial_states,
     logger,
     solve_model=None,
     vf_arr_list=None,
@@ -30,6 +30,8 @@ def simulate(
 
     Args:
         params (dict): Dict of model parameters.
+        initial_states (list): List of initial states to start from. Typically from the
+            observed dataset.
         state_indexers (list): List of dicts of length n_periods. Each dict contains one
             or several state indexers.
         continuous_choice_grids (list): List of dicts of length n_periods. Each dict
@@ -41,8 +43,6 @@ def simulate(
             state and choice variables. For stochastic variables, it returns a random
             draw from the distribution of the next state.
         model (Model): Model instance.
-        initial_states (list): List of initial states to start from. Typically from the
-            observed dataset.
         logger (logging.Logger): Logger that logs to stdout.
         solve_model (callable): Function that solves the model. Is only required if
             vf_arr_list is not provided.
@@ -230,7 +230,7 @@ def solve_continuous_problem(
     """Solve the agent's continuous choices problem problem.
 
     Args:
-        data_scs (Space): Namedtuple with entries dense_vars and sparse_vars.
+        data_scs (Space): Class with entries dense_vars and sparse_vars.
         compute_ccv (callable): Function that returns the conditional continuation
             values for a given combination of states and discrete choices. The function
             depends on:
@@ -462,14 +462,14 @@ def retrieve_non_sparse_choices(indices, grids, grid_shape):
 
 def create_data_scs(
     states,
-    model,
+    model: InternalModel,
     period,
 ):
     """Create data state choice space.
 
     Args:
         states (dict): Dict with initial states.
-        model (Model): Model instance.
+        model: Model instance.
         period (int): Period.
 
     Returns:
diff --git a/src/lcm/solve_brute.py b/src/lcm/solve_brute.py
index 101846a3..a7f1ab82 100644
--- a/src/lcm/solve_brute.py
+++ b/src/lcm/solve_brute.py
@@ -69,7 +69,7 @@ def solve(
 
         # solve discrete problem by calculating expected maximum over discrete choices
         calculate_emax = emax_calculators[period]
-        vf_arr = calculate_emax(conditional_continuation_values)
+        vf_arr = calculate_emax(conditional_continuation_values, params=params)
         reversed_solution.append(vf_arr)
 
         logger.info("Period: %s", period)
@@ -88,7 +88,7 @@ def solve_continuous_problem(
     """Solve the agent's continuous choices problem problem.
 
     Args:
-        state_choice_space (Space): Namedtuple with entries dense_vars and sparse_vars.
+        state_choice_space (Space): Class with entries dense_vars and sparse_vars.
         compute_ccv (callable): Function that returns the conditional continuation
             values for a given combination of states and discrete choices. The function
             depends on:
diff --git a/src/lcm/state_space.py b/src/lcm/state_space.py
index 9408fc58..cb1e3e0c 100644
--- a/src/lcm/state_space.py
+++ b/src/lcm/state_space.py
@@ -8,10 +8,12 @@
 from dags import concatenate_functions
 
 from lcm.dispatchers import productmap, spacemap
-from lcm.interfaces import IndexerInfo, Space, SpaceInfo
+from lcm.interfaces import IndexerInfo, InternalModel, Space, SpaceInfo
 
 
-def create_state_choice_space(model, period, *, is_last_period, jit_filter):
+def create_state_choice_space(
+    model: InternalModel, period, *, is_last_period, jit_filter
+):
     """Create a state choice space for the model.
 
     A state_choice_space is a compressed representation of all feasible states and the
@@ -126,15 +128,15 @@ def create_state_choice_space(model, period, *, is_last_period, jit_filter):
 
     space_info = SpaceInfo(
         axis_names=axis_names,
-        lookup_info=lookup_info,
-        interpolation_info=interpolation_info,
+        lookup_info=lookup_info,  # type: ignore[arg-type]
+        interpolation_info=interpolation_info,  # type: ignore[arg-type]
         indexer_infos=indexer_infos,
     )
 
     return state_choice_space, space_info, state_indexers, choice_segments
 
 
-def create_filter_mask(model, subset, fixed_inputs=None, *, jit_filter):
+def create_filter_mask(model: InternalModel, subset, fixed_inputs=None, *, jit_filter):
     """Create mask for combinations of grid values that is True if all filters are True.
 
     Args:
diff --git a/src/lcm/typing.py b/src/lcm/typing.py
index 13bdbc0d..afef46d7 100644
--- a/src/lcm/typing.py
+++ b/src/lcm/typing.py
@@ -1,4 +1,5 @@
-from typing import Annotated, Literal, TypedDict
+from enum import Enum
+from typing import Any, Literal, TypedDict
 
 from jax import Array
 
@@ -6,21 +7,14 @@
 # includes zero dimensional jax arrays.
 Scalar = int | float | Array
 
-# We only allow primitive types for scalar user inputs to reduce complexity.
-ScalarUserInput = int | float
+ParamsDict = dict[str, Any]
 
-ContinuousGridType = Literal["linspace", "logspace"]
 
-DiscreteLabels = Annotated[list[int], "Int range starting from 0 with increments of 1"]
+class ShockType(Enum):
+    """Type of shocks."""
 
-# Parameters in LCM are made out of three categories: (1) the default parameters
-# required for the model class. They appear as dict[str, ScalarUserInput]. (2) the
-# parameters corresponding to the user model functions. They appear as
-# dict[str, dict[str, ScalarUserInput]], where for each user function the parameters
-# for this function are stored in a dict. (3) the parameters corresponding to the
-# the stochastic transitions. They appear as dict[str, dict[str, Array]],
-# where for each stochastic state variable the transition matrix is stored as an Array.
-Params = dict[str, ScalarUserInput | dict[str, ScalarUserInput] | dict[str, Array]]
+    EXTREME_VALUE = "extreme_value"
+    NONE = None
 
 
 class SegmentInfo(TypedDict):
diff --git a/src/lcm/user_input.py b/src/lcm/user_input.py
deleted file mode 100644
index ee4c2a6d..00000000
--- a/src/lcm/user_input.py
+++ /dev/null
@@ -1,374 +0,0 @@
-"""Collection of classes that are used by the user to define the model and grids."""
-
-import dataclasses as dc
-from abc import ABC, abstractmethod
-from collections.abc import Callable, Collection
-from dataclasses import KW_ONLY, InitVar, dataclass, field
-from typing import get_args
-
-import jax.numpy as jnp
-
-import lcm.grids as grids_module
-from lcm.interfaces import ContinuousGridInfo
-from lcm.typing import ContinuousGridType, ScalarUserInput
-
-
-class Grid(ABC):
-    """LCM Grid base class."""
-
-    @abstractmethod
-    def to_jax(self) -> jnp.ndarray:
-        """Convert the grid to a Jax array."""
-
-
-@dataclass(frozen=True)
-class Model:
-    """A user model which can be processed into an internal model.
-
-    Attributes:
-        description: Description of the model.
-        n_periods: Number of periods in the model.
-        functions: Dictionary of user provided functions that define the functional
-            relationships between model variables. It must include at least a function
-            called 'utility'.
-        choices: Dictionary of user provided choices.
-        states: Dictionary of user provided states.
-
-    """
-
-    description: str | None = None
-    _: KW_ONLY
-    n_periods: int
-    functions: dict[str, Callable] = field(default_factory=dict)
-    choices: dict[str, Grid] = field(default_factory=dict)
-    states: dict[str, Grid] = field(default_factory=dict)
-    _skip_checks: InitVar[bool] = False
-
-    def __post_init__(self, _skip_checks: bool) -> None:
-        if _skip_checks:
-            return
-
-        type_errors = _validate_model_attribute_types(self)
-        if type_errors:
-            raise LcmModelInitializationError(_format_errors(type_errors))
-
-        logical_errors = _validate_logical_consistency_model(self)
-        if logical_errors:
-            raise LcmModelInitializationError(_format_errors(logical_errors))
-
-    def replace(self, **kwargs) -> "Model":
-        """Replace the attributes of the model.
-
-        Args:
-            **kwargs: Keyword arguments to replace the attributes of the model.
-
-        Returns:
-            A new model with the replaced attributes.
-
-        """
-        return dc.replace(self, **kwargs)
-
-
-@dataclass(frozen=True)
-class DiscreteGrid(Grid):
-    """A grid of discrete values.
-
-    Attributes:
-        options: The options in the grid. Must be an iterable of scalar int or float
-            values.
-
-    """
-
-    options: Collection[ScalarUserInput]
-
-    def __post_init__(self) -> None:
-        if not isinstance(self.options, Collection):
-            raise LcmGridInitializationError(
-                "options must be a collection of scalar int or float values, e.g., a ",
-                "list or tuple",
-            )
-
-        errors = _validate_discrete_grid(self.options)
-        if errors:
-            raise LcmGridInitializationError(_format_errors(errors))
-
-    def to_jax(self) -> jnp.ndarray:
-        """Convert the grid to a Jax array."""
-        return jnp.asarray(list(self.options))
-
-    def replace(self, options: Collection[ScalarUserInput]) -> "DiscreteGrid":
-        """Replace the grid with new values.
-
-        Args:
-            options: The new options in the grid.
-
-        Returns:
-            The updated grid.
-
-        """
-        return dc.replace(self, options=options)
-
-
-@dataclass(frozen=True)
-class ContinuousGrid(Grid):
-    """LCM Continuous Grid base class."""
-
-    kind: ContinuousGridType = field(init=False, default=None)  # type: ignore[arg-type]
-    start: ScalarUserInput
-    stop: ScalarUserInput
-    n_points: int
-
-    def __post_init__(self) -> None:
-        errors = _validate_continuous_grid(
-            start=self.start,
-            stop=self.stop,
-            n_points=self.n_points,
-        )
-        if errors:
-            raise LcmGridInitializationError(_format_errors(errors))
-
-    @property
-    def info(self) -> ContinuousGridInfo:
-        """Get the grid info."""
-        return ContinuousGridInfo(
-            start=self.start,
-            stop=self.stop,
-            n_points=self.n_points,
-        )
-
-    def to_jax(self) -> jnp.ndarray:
-        """Convert the grid to a Jax array."""
-        space_func = getattr(grids_module, self.kind)
-        return space_func(start=self.start, stop=self.stop, n_points=self.n_points)
-
-
-class LinspaceGrid(ContinuousGrid):
-    """A linear grid of continuous values.
-
-    Example:
-    --------
-    Let `start = 1`, `stop = 100`, and `n_points = 3`. The grid is `[1, 50.5, 100]`.
-
-    Attributes:
-        start: The start value of the grid. Must be a scalar int or float value.
-        stop: The stop value of the grid. Must be a scalar int or float value.
-        n_points: The number of points in the grid. Must be an int greater than 0.
-
-    """
-
-    kind: ContinuousGridType = "linspace"
-
-
-    def replace(self, **kwargs) -> "LinspaceGrid":
-        """Replace the grid with new values.
-
-        Args:
-            **kwargs:
-                - start: The new start value of the grid.
-                - stop: The new stop value of the grid.
-                - n_points: The new number of points in the grid.
-
-        Returns:
-            The updated grid.
-
-        """
-        return dc.replace(self, **kwargs)
-
-
-class LogspaceGrid(ContinuousGrid):
-    """A logarithmic grid of continuous values.
-
-    Example:
-    --------
-    Let `start = 1`, `stop = 100`, and `n_points = 3`. The grid is `[1, 10, 100]`.
-
-    Attributes:
-        start: The start value of the grid. Must be a scalar int or float value.
-        stop: The stop value of the grid. Must be a scalar int or float value.
-        n_points: The number of points in the grid. Must be an int greater than 0.
-
-    """
-
-    kind: ContinuousGridType = "logspace"
-    
-    def replace(self, **kwargs) -> "LogspaceGrid":
-        """Replace the grid with new values.
-
-        Args:
-            **kwargs:
-                - start: The new start value of the grid.
-                - stop: The new stop value of the grid.
-                - n_points: The new number of points in the grid.
-
-        Returns:
-            The updated grid.
-
-        """
-        return dc.replace(self, **kwargs)
-
-
-# ======================================================================================
-# Validate user input
-# ======================================================================================
-
-
-class LcmModelInitializationError(Exception):
-    """Raised when there is an error in the model initialization."""
-
-
-class LcmGridInitializationError(Exception):
-    """Raised when there is an error in the grid initialization."""
-
-
-def _format_errors(errors: list[str]) -> str:
-    """Convert list of error messages into a single string.
-
-    If list is empty, returns the empty string.
-
-    """
-    if len(errors) == 0:
-        formatted = ""
-    elif len(errors) == 1:
-        formatted = errors[0]
-    else:
-        enumerated = "\n\n".join([f"{i}. {error}" for i, error in enumerate(errors, 1)])
-        formatted = f"The following errors occurred:\n\n{enumerated}"
-    return formatted
-
-
-# Model
-# ======================================================================================
-
-
-def _validate_model_attribute_types(model: Model) -> list[str]:
-    """Validate the types of the model attributes."""
-    error_messages = []
-
-    # Validate types of states and choices
-    # ----------------------------------------------------------------------------------
-    for attr_name in ("choices", "states"):
-        attr = getattr(model, attr_name)
-        if not isinstance(attr, dict):
-            error_messages.append(f"{attr_name} must be a dictionary.")
-        else:
-            for k, v in attr.items():
-                if not isinstance(k, str):
-                    error_messages.append(f"{attr_name} key {k} must be a string.")
-                if not isinstance(v, Grid):
-                    error_messages.append(f"{attr_name} value {v} must be a LCM grid.")
-
-    # Validate types of functions
-    # ----------------------------------------------------------------------------------
-    if not isinstance(model.functions, dict):
-        error_messages.append("functions must be a dictionary.")
-    else:
-        for k, v in model.functions.items():
-            if not isinstance(k, str):
-                error_messages.append(f"functions key {k} must be a string.")
-            if not callable(v):
-                error_messages.append(f"functions value {v} must be a callable.")
-
-    return error_messages
-
-
-def _validate_logical_consistency_model(model: Model) -> list[str]:
-    """Validate the logical consistency of the model."""
-    error_messages = []
-
-    if model.n_periods < 1:
-        error_messages.append("Number of periods must be a positive integer.")
-
-    if "utility" not in model.functions:
-        error_messages.append(
-            "Utility function is not defined. LCM expects a function called 'utility'"
-            "in the functions dictionary.",
-        )
-
-    if states_without_next_func := [
-        state for state in model.states if f"next_{state}" not in model.functions
-    ]:
-        error_messages.append(
-            "Each state must have a corresponding next state function. For the "
-            "following states, no next state function was found: "
-            f"{states_without_next_func}.",
-        )
-
-    if states_and_choices_overlap := set(model.states) & set(model.choices):
-        error_messages.append(
-            "States and choices cannot have overlapping names. The following names "
-            f"are used in both states and choices: {states_and_choices_overlap}.",
-        )
-
-    return error_messages
-
-
-# Discrete grid
-# ======================================================================================
-
-
-def _validate_discrete_grid(options: Collection[ScalarUserInput]) -> list[str]:
-    """Validate the discrete grid options.
-
-    Args:
-        options: The user options to validate.
-
-    Returns:
-        list[str]: A list of error messages.
-
-    """
-    error_messages = []
-
-    if not len(options) > 0:
-        error_messages.append("options must contain at least one element")
-
-    if not all(isinstance(option, get_args(ScalarUserInput)) for option in options):
-        error_messages.append("options must contain only scalar int or float values")
-
-    if len(options) != len(set(options)):
-        error_messages.append("options must contain unique values")
-
-    # if list(options) != list(range(len(options))):
-    #     error_messages.append(
-    #         "options must be a list of consecutive integers starting from 0",
-    #     )
-
-    return error_messages
-
-
-# Continuous grid
-# ======================================================================================
-
-
-def _validate_continuous_grid(
-    start: ScalarUserInput,
-    stop: ScalarUserInput,
-    n_points: int,
-) -> list[str]:
-    """Validate the continuous grid parameters.
-
-    Args:
-        start: The start value of the grid.
-        stop: The stop value of the grid.
-        n_points: The number of points in the grid.
-
-    Returns:
-        list[str]: A list of error messages.
-
-    """
-    error_messages = []
-
-    if not (valid_start_type := isinstance(start, get_args(ScalarUserInput))):
-        error_messages.append("start must be a scalar int or float value")
-
-    if not (valid_stop_type := isinstance(stop, get_args(ScalarUserInput))):
-        error_messages.append("stop must be a scalar int or float value")
-
-    if not isinstance(n_points, int) or n_points < 1:
-        error_messages.append(
-            f"n_points must be an int greater than 0 but is {n_points}",
-        )
-
-    if valid_start_type and valid_stop_type and start >= stop:
-        error_messages.append("start must be less than stop")
-
-    return error_messages
diff --git a/src/lcm/user_model.py b/src/lcm/user_model.py
new file mode 100644
index 00000000..c2ba24e3
--- /dev/null
+++ b/src/lcm/user_model.py
@@ -0,0 +1,122 @@
+"""Collection of classes that are used by the user to define the model and grids."""
+
+import dataclasses as dc
+from collections.abc import Callable
+from dataclasses import KW_ONLY, dataclass, field
+
+from lcm.exceptions import ModelInitilizationError, format_messages
+from lcm.grids import Grid
+
+
+@dataclass(frozen=True)
+class Model:
+    """A user model which can be processed into an internal model.
+
+    Attributes:
+        description: Description of the model.
+        n_periods: Number of periods in the model.
+        functions: Dictionary of user provided functions that define the functional
+            relationships between model variables. It must include at least a function
+            called 'utility'.
+        choices: Dictionary of user provided choices.
+        states: Dictionary of user provided states.
+
+    """
+
+    description: str | None = None
+    _: KW_ONLY
+    n_periods: int
+    functions: dict[str, Callable] = field(default_factory=dict)
+    choices: dict[str, Grid] = field(default_factory=dict)
+    states: dict[str, Grid] = field(default_factory=dict)
+
+    def __post_init__(self) -> None:
+        type_errors = _validate_attribute_types(self)
+
+        if type_errors:
+            msg = format_messages(type_errors)
+            raise ModelInitilizationError(msg)
+
+        logical_errors = _validate_logical_consistency(self)
+
+        if logical_errors:
+            msg = format_messages(logical_errors)
+            raise ModelInitilizationError(msg)
+
+    def replace(self, **kwargs) -> "Model":
+        """Replace the attributes of the model.
+
+        Args:
+            **kwargs: Keyword arguments to replace the attributes of the model.
+
+        Returns:
+            A new model with the replaced attributes.
+
+        """
+        return dc.replace(self, **kwargs)
+
+
+def _validate_attribute_types(model: Model) -> list[str]:
+    """Validate the types of the model attributes."""
+    error_messages = []
+
+    # Validate types of states and choices
+    # ----------------------------------------------------------------------------------
+    for attr_name in ("choices", "states"):
+        attr = getattr(model, attr_name)
+        if not isinstance(attr, dict):
+            error_messages.append(f"{attr_name} must be a dictionary.")
+        else:
+            for k, v in attr.items():
+                if not isinstance(k, str):
+                    error_messages.append(f"{attr_name} key {k} must be a string.")
+                if not isinstance(v, Grid):
+                    error_messages.append(f"{attr_name} value {v} must be an LCM grid.")
+
+    # Validate types of functions
+    # ----------------------------------------------------------------------------------
+    if not isinstance(model.functions, dict):
+        error_messages.append("functions must be a dictionary.")
+    else:
+        for k, v in model.functions.items():
+            if not isinstance(k, str):
+                error_messages.append(f"function keys must be a strings, but is {k}.")
+            if not callable(v):
+                error_messages.append(
+                    f"function values must be a callable, but is {v}."
+                )
+
+    return error_messages
+
+
+def _validate_logical_consistency(model: Model) -> list[str]:
+    """Validate the logical consistency of the model."""
+    error_messages = []
+
+    if model.n_periods < 1:
+        error_messages.append("Number of periods must be a positive integer.")
+
+    if "utility" not in model.functions:
+        error_messages.append(
+            "Utility function is not defined. LCM expects a function called 'utility' "
+            "in the functions dictionary.",
+        )
+
+    states_without_next_func = [
+        state for state in model.states if f"next_{state}" not in model.functions
+    ]
+    if states_without_next_func:
+        error_messages.append(
+            "Each state must have a corresponding next state function. For the "
+            "following states, no next state function was found: "
+            f"{states_without_next_func}.",
+        )
+
+    states_and_choices_overlap = set(model.states) & set(model.choices)
+    if states_and_choices_overlap:
+        error_messages.append(
+            "States and choices cannot have overlapping names. The following names "
+            f"are used in both states and choices: {states_and_choices_overlap}.",
+        )
+
+    return error_messages
diff --git a/tests/input_processing/__init__.py b/tests/input_processing/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/test_create_params.py b/tests/input_processing/test_create_params_template.py
similarity index 67%
rename from tests/test_create_params.py
rename to tests/input_processing/test_create_params_template.py
index 5f04b13a..e0b9c0d5 100644
--- a/tests/test_create_params.py
+++ b/tests/input_processing/test_create_params_template.py
@@ -1,39 +1,54 @@
+from dataclasses import dataclass
+from typing import Any
+
 import numpy as np
 import pandas as pd
 import pytest
-from lcm.create_params_template import (
+from numpy.testing import assert_equal
+
+from lcm.grids import DiscreteGrid
+from lcm.input_processing.create_params_template import (
     _create_function_params,
     _create_stochastic_transition_params,
     create_params_template,
 )
-from lcm.user_input import Model
-from numpy.testing import assert_equal
+
+
+@dataclass
+class ModelMock:
+    """A model mock for testing the params creation functions.
+
+    This dataclass has the same attributes as the Model dataclass, but does not perform
+    any checks, which helps us to test the params creation functions in isolation.
+
+    """
+
+    n_periods: int | None = None
+    functions: dict[str, Any] | None = None
+    choices: dict[str, Any] | None = None
+    states: dict[str, Any] | None = None
 
 
 def test_create_params_without_shocks():
-    model = Model(
+    model = ModelMock(
         functions={
             "f": lambda a, b, c: None,  # noqa: ARG005
+            "next_b": lambda b: b,
         },
         choices={
-            "a": None,
+            "a": DiscreteGrid([0, 1]),
         },
         states={
-            "b": None,
+            "b": DiscreteGrid([0, 1]),
         },
-        _skip_checks=True,
         n_periods=None,
     )
-    got = create_params_template(
-        model,
-        variable_info=pd.DataFrame({"is_stochastic": [False]}),
-        grids=None,
-    )
-    assert got == {"beta": np.nan, "f": {"c": np.nan}}
+    got = create_params_template(model)
+    assert got == {"beta": np.nan, "f": {"c": np.nan}, "next_b": {}}
 
 
 def test_create_function_params():
-    model = Model(
+    model = ModelMock(
         functions={
             "f": lambda a, b, c: None,  # noqa: ARG005
         },
@@ -43,15 +58,13 @@ def test_create_function_params():
         states={
             "b": None,
         },
-        _skip_checks=True,
-        n_periods=None,
     )
     got = _create_function_params(model)
     assert got == {"f": {"c": np.nan}}
 
 
 def test_create_shock_params():
-    def next_a(a, _period):  # noqa: ARG001
+    def next_a(a, _period):
         pass
 
     variable_info = pd.DataFrame(
@@ -59,14 +72,13 @@ def next_a(a, _period):  # noqa: ARG001
         index=["a"],
     )
 
-    model = Model(
+    model = ModelMock(
         n_periods=3,
         functions={"next_a": next_a},
-        _skip_checks=True,
     )
 
     got = _create_stochastic_transition_params(
-        user_model=model,
+        model=model,
         variable_info=variable_info,
         grids={"a": np.array([1, 2])},
     )
@@ -74,7 +86,7 @@ def next_a(a, _period):  # noqa: ARG001
 
 
 def test_create_shock_params_invalid_variable():
-    def next_a(a):  # noqa: ARG001
+    def next_a(a):
         pass
 
     variable_info = pd.DataFrame(
@@ -82,22 +94,20 @@ def next_a(a):  # noqa: ARG001
         index=["a"],
     )
 
-    model = Model(
+    model = ModelMock(
         functions={"next_a": next_a},
-        _skip_checks=True,
-        n_periods=None,
     )
 
     with pytest.raises(ValueError, match="The following variables are stochastic, but"):
         _create_stochastic_transition_params(
-            user_model=model,
+            model=model,
             variable_info=variable_info,
             grids={"a": np.array([1, 2])},
         )
 
 
 def test_create_shock_params_invalid_dependency():
-    def next_a(a, b, _period):  # noqa: ARG001
+    def next_a(a, b, _period):
         pass
 
     variable_info = pd.DataFrame(
@@ -109,15 +119,13 @@ def next_a(a, b, _period):  # noqa: ARG001
         index=["a", "b"],
     )
 
-    model = Model(
+    model = ModelMock(
         functions={"next_a": next_a},
-        _skip_checks=True,
-        n_periods=None,
     )
 
     with pytest.raises(ValueError, match="Stochastic transition functions can only"):
         _create_stochastic_transition_params(
-            user_model=model,
+            model=model,
             variable_info=variable_info,
             grids={"a": np.array([1, 2])},
         )
diff --git a/tests/test_process_model.py b/tests/input_processing/test_process_model.py
similarity index 65%
rename from tests/test_process_model.py
rename to tests/input_processing/test_process_model.py
index f886b223..61a459f7 100644
--- a/tests/test_process_model.py
+++ b/tests/input_processing/test_process_model.py
@@ -1,33 +1,49 @@
+from dataclasses import dataclass
+from typing import Any
+
 import jax.numpy as jnp
-import lcm.grids as grids_module
 import numpy as np
 import pandas as pd
 import pytest
-from lcm import DiscreteGrid, LinspaceGrid, Model
-from lcm.mark import StochasticInfo
-from lcm.process_model import (
-    _get_function_info,
-    _get_grids,
-    _get_gridspecs,
-    _get_stochastic_weight_function,
-    _get_variable_info,
-    process_model,
-)
 from numpy.testing import assert_array_equal
 from pandas.testing import assert_frame_equal
 
+from lcm import DiscreteGrid, LinspaceGrid, grid_helpers
+from lcm.input_processing.process_model import (
+    _get_stochastic_weight_function,
+    get_function_info,
+    get_grids,
+    get_gridspecs,
+    get_variable_info,
+    process_model,
+)
+from lcm.mark import StochasticInfo
 from tests.test_models.deterministic import (
-    N_GRID_POINTS,
     get_model_config,
 )
 
 
-@pytest.fixture()
-def user_model():
+@dataclass
+class ModelMock:
+    """A model mock for testing the process_model function.
+
+    This dataclass has the same attributes as the Model dataclass, but does not perform
+    any checks, which helps us to test the process_model function in isolation.
+
+    """
+
+    n_periods: int
+    functions: dict[str, Any]
+    choices: dict[str, Any]
+    states: dict[str, Any]
+
+
+@pytest.fixture
+def model():
     def next_c(a, b):
         return a + b
 
-    return Model(
+    return ModelMock(
         n_periods=2,
         functions={
             "next_c": next_c,
@@ -38,12 +54,11 @@ def next_c(a, b):
         states={
             "c": DiscreteGrid([0, 1]),
         },
-        _skip_checks=True,
     )
 
 
-def test_get_function_info(user_model):
-    got = _get_function_info(user_model)
+def test_get_function_info(model):
+    got = get_function_info(model)
     exp = pd.DataFrame(
         {
             "is_filter": [False],
@@ -56,12 +71,8 @@ def test_get_function_info(user_model):
     assert_frame_equal(got, exp)
 
 
-def test_get_variable_info(user_model):
-    function_info = _get_function_info(user_model)
-    got = _get_variable_info(
-        user_model,
-        function_info,
-    )
+def test_get_variable_info(model):
+    got = get_variable_info(model)
     exp = pd.DataFrame(
         {
             "is_state": [False, True],
@@ -78,29 +89,21 @@ def test_get_variable_info(user_model):
     assert_frame_equal(got.loc[exp.index], exp)  # we don't care about the id order here
 
 
-def test_get_gridspecs(user_model):
-    variable_info = _get_variable_info(
-        user_model,
-        function_info=_get_function_info(user_model),
-    )
-    got = _get_gridspecs(user_model, variable_info)
+def test_get_gridspecs(model):
+    got = get_gridspecs(model)
     assert got["a"] == DiscreteGrid([0, 1])
     assert got["c"] == DiscreteGrid([0, 1])
 
 
-def test_get_grids(user_model):
-    variable_info = _get_variable_info(
-        user_model,
-        function_info=_get_function_info(user_model),
-    )
-    gridspecs = _get_gridspecs(user_model, variable_info)
-    got = _get_grids(gridspecs, variable_info)
+def test_get_grids(model):
+    got = get_grids(model)
     assert_array_equal(got["a"], jnp.array([0, 1]))
     assert_array_equal(got["c"], jnp.array([0, 1]))
 
 
 def test_process_model_iskhakov_et_al_2017():
-    model = process_model(get_model_config("iskhakov_et_al_2017", n_periods=3))
+    model_config = get_model_config("iskhakov_et_al_2017", n_periods=3)
+    model = process_model(model_config)
 
     # Variable Info
     assert (
@@ -119,32 +122,30 @@ def test_process_model_iskhakov_et_al_2017():
     ).all()
 
     # Gridspecs
-    wealth_specs = LinspaceGrid(
+    wealth_grid = LinspaceGrid(
         start=1,
         stop=400,
-        n_points=N_GRID_POINTS["wealth"],
+        n_points=model_config.states["wealth"].n_points,
     )
 
-    assert model.gridspecs["wealth"] == wealth_specs
+    assert model.gridspecs["wealth"] == wealth_grid
 
-    consumption_specs = LinspaceGrid(
+    consumption_grid = LinspaceGrid(
         start=1,
         stop=400,
-        n_points=N_GRID_POINTS["consumption"],
+        n_points=model_config.choices["consumption"].n_points,
     )
-    assert model.gridspecs["consumption"] == consumption_specs
+    assert model.gridspecs["consumption"] == consumption_grid
 
     assert model.gridspecs["retirement"] == DiscreteGrid([0, 1])
     assert model.gridspecs["lagged_retirement"] == DiscreteGrid([0, 1])
 
     # Grids
-    func = getattr(grids_module, model.gridspecs["consumption"].kind)
-    asserted = func(**model.gridspecs["consumption"].info._asdict())
-    assert (asserted == model.grids["consumption"]).all()
+    expected = grid_helpers.linspace(**model_config.choices["consumption"].__dict__)
+    assert_array_equal(model.grids["consumption"], expected)
 
-    func = getattr(grids_module, model.gridspecs["wealth"].kind)
-    asserted = func(**model.gridspecs["wealth"].info._asdict())
-    assert (asserted == model.grids["wealth"]).all()
+    expected = grid_helpers.linspace(**model_config.states["wealth"].__dict__)
+    assert_array_equal(model.grids["wealth"], expected)
 
     assert (model.grids["retirement"] == jnp.array([0, 1])).all()
     assert (model.grids["lagged_retirement"] == jnp.array([0, 1])).all()
@@ -164,9 +165,8 @@ def test_process_model_iskhakov_et_al_2017():
 
 
 def test_process_model():
-    model = process_model(
-        get_model_config("iskhakov_et_al_2017_stripped_down", n_periods=3),
-    )
+    model_config = get_model_config("iskhakov_et_al_2017_stripped_down", n_periods=3)
+    model = process_model(model_config)
 
     # Variable Info
     assert ~(model.variable_info["is_sparse"].to_numpy()).any()
@@ -183,7 +183,7 @@ def test_process_model():
     wealth_specs = LinspaceGrid(
         start=1,
         stop=400,
-        n_points=N_GRID_POINTS["wealth"],
+        n_points=model_config.states["wealth"].n_points,
     )
 
     assert model.gridspecs["wealth"] == wealth_specs
@@ -191,20 +191,18 @@ def test_process_model():
     consumption_specs = LinspaceGrid(
         start=1,
         stop=400,
-        n_points=N_GRID_POINTS["consumption"],
+        n_points=model_config.choices["consumption"].n_points,
     )
     assert model.gridspecs["consumption"] == consumption_specs
 
     assert model.gridspecs["retirement"] == DiscreteGrid([0, 1])
 
     # Grids
-    func = getattr(grids_module, model.gridspecs["consumption"].kind)
-    asserted = func(**model.gridspecs["consumption"].info._asdict())
-    assert (asserted == model.grids["consumption"]).all()
+    expected = grid_helpers.linspace(**model_config.choices["consumption"].__dict__)
+    assert_array_equal(model.grids["consumption"], expected)
 
-    func = getattr(grids_module, model.gridspecs["wealth"].kind)
-    asserted = func(**model.gridspecs["wealth"].info._asdict())
-    assert (asserted == model.grids["wealth"]).all()
+    expected = grid_helpers.linspace(**model_config.states["wealth"].__dict__)
+    assert_array_equal(model.grids["wealth"], expected)
 
     assert (model.grids["retirement"] == jnp.array([0, 1])).all()
 
@@ -223,7 +221,7 @@ def test_process_model():
 
 
 def test_get_stochastic_weight_function():
-    def raw_func(health, wealth):  # noqa: ARG001
+    def raw_func(health, wealth):
         pass
 
     raw_func._stochastic_info = StochasticInfo()
@@ -247,7 +245,7 @@ def raw_func(health, wealth):  # noqa: ARG001
 
 
 def test_get_stochastic_weight_function_non_state_dependency():
-    def raw_func(health, wealth):  # noqa: ARG001
+    def raw_func(health, wealth):
         pass
 
     raw_func._stochastic_info = StochasticInfo()
@@ -266,16 +264,12 @@ def raw_func(health, wealth):  # noqa: ARG001
 
 
 def test_variable_info_with_continuous_filter_has_unique_index():
-    user_model = get_model_config("iskhakov_et_al_2017", n_periods=3)
+    model = get_model_config("iskhakov_et_al_2017", n_periods=3)
 
     def wealth_filter(wealth):
         return wealth > 200
 
-    user_model.functions["wealth_filter"] = wealth_filter
+    model.functions["wealth_filter"] = wealth_filter
 
-    function_info = _get_function_info(user_model)
-    got = _get_variable_info(
-        user_model,
-        function_info,
-    )
+    got = get_variable_info(model)
     assert got.index.is_unique
diff --git a/tests/test_analytical_solution.py b/tests/test_analytical_solution.py
index 22fc6976..7769e426 100644
--- a/tests/test_analytical_solution.py
+++ b/tests/test_analytical_solution.py
@@ -9,10 +9,10 @@
 
 import numpy as np
 import pytest
-from lcm._config import TEST_DATA
-from lcm.entry_point import get_lcm_function
 from numpy.testing import assert_array_almost_equal as aaae
 
+from lcm._config import TEST_DATA
+from lcm.entry_point import get_lcm_function
 from tests.test_models.deterministic import get_model_config, get_params
 
 # ======================================================================================
diff --git a/tests/test_argmax.py b/tests/test_argmax.py
index 76c4bb83..d515ea1d 100644
--- a/tests/test_argmax.py
+++ b/tests/test_argmax.py
@@ -1,8 +1,9 @@
 import jax.numpy as jnp
 from jax import jit
-from lcm.argmax import _flatten_last_n_axes, _move_axes_to_back, argmax, segment_argmax
 from numpy.testing import assert_array_equal
 
+from lcm.argmax import _flatten_last_n_axes, _move_axes_to_back, argmax, segment_argmax
+
 # Test jitted functions
 # ======================================================================================
 jitted_segment_argmax = jit(segment_argmax, static_argnums=2)
diff --git a/tests/test_discrete_problem.py b/tests/test_discrete_problem.py
index 9eba33bc..3f87f33e 100644
--- a/tests/test_discrete_problem.py
+++ b/tests/test_discrete_problem.py
@@ -5,6 +5,8 @@
 import pandas as pd
 import pytest
 from jax.ops import segment_max
+from numpy.testing import assert_array_almost_equal as aaae
+
 from lcm.discrete_problem import (
     _calculate_emax_extreme_value_shocks,
     _determine_dense_discrete_choice_axes,
@@ -13,10 +15,10 @@
     _solve_discrete_problem_no_shocks,
     get_solve_discrete_problem,
 )
-from numpy.testing import assert_array_almost_equal as aaae
+from lcm.typing import ShockType
 
 
-@pytest.fixture()
+@pytest.fixture
 def cc_values():
     """Conditional continuation values."""
     v_t = jnp.arange(20).reshape(2, 2, 5) / 2
@@ -24,7 +26,7 @@ def cc_values():
     return jnp.transpose(v_t, axes=(2, 0, 1))
 
 
-@pytest.fixture()
+@pytest.fixture
 def segment_info():
     return {
         "segment_ids": jnp.array([0, 0, 1, 1, 1]),
@@ -48,14 +50,13 @@ def test_aggregation_without_shocks(cc_values, segment_info, collapse, n_extra_a
     )
 
     solve_discrete_problem = get_solve_discrete_problem(
-        random_utility_shock_type=None,
+        random_utility_shock_type=ShockType.NONE,
         variable_info=var_info,
         is_last_period=False,
         choice_segments=segment_info,
-        params={},
     )
 
-    calculated = solve_discrete_problem(cc_values)
+    calculated = solve_discrete_problem(cc_values, params=None)
 
     expected = jnp.array([8, 9.5])
 
@@ -141,7 +142,7 @@ def _get_reshaped_cc_values_and_variable_info(cc_values, collapse, n_extra_axes)
 # ======================================================================================
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_get_solve_discrete_problem_illustrative():
     variable_info = pd.DataFrame(
         {
@@ -153,11 +154,10 @@ def test_get_solve_discrete_problem_illustrative():
     )  # leads to choice_axes = [1]
 
     solve_discrete_problem = get_solve_discrete_problem(
-        random_utility_shock_type=None,
+        random_utility_shock_type=ShockType.NONE,
         variable_info=variable_info,
         is_last_period=False,
         choice_segments=None,
-        params=None,
     )
 
     cc_values = jnp.array(
@@ -168,11 +168,11 @@ def test_get_solve_discrete_problem_illustrative():
         ],
     )
 
-    got = solve_discrete_problem(cc_values)
+    got = solve_discrete_problem(cc_values, params=None)
     aaae(got, jnp.array([1, 3, 5]))
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_solve_discrete_problem_no_shocks_illustrative():
     cc_values = jnp.array(
         [
@@ -213,7 +213,7 @@ def test_solve_discrete_problem_no_shocks_illustrative():
     aaae(got, jnp.array([3, 5]))
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_calculate_emax_extreme_value_shocks_illustrative():
     cc_values = jnp.array(
         [
@@ -259,7 +259,7 @@ def test_calculate_emax_extreme_value_shocks_illustrative():
 # ======================================================================================
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_segment_max_over_first_axis_illustrative():
     a = jnp.arange(4)
     segment_info = {
@@ -271,7 +271,7 @@ def test_segment_max_over_first_axis_illustrative():
     aaae(got, expected)
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_segment_extreme_value_emax_over_first_axis_illustrative():
     a = jnp.array([[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]])
 
@@ -289,7 +289,7 @@ def test_segment_extreme_value_emax_over_first_axis_illustrative():
     aaae(got, expected)
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_segment_logsumexp_illustrative():
     a = jnp.array([[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]])
 
@@ -308,7 +308,7 @@ def test_segment_logsumexp_illustrative():
 # ======================================================================================
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_determine_discrete_choice_axes_illustrative():
     # No discrete choice variable
     # ==================================================================================
diff --git a/tests/test_dispatchers.py b/tests/test_dispatchers.py
index 8b0a4bc7..99a91951 100644
--- a/tests/test_dispatchers.py
+++ b/tests/test_dispatchers.py
@@ -2,13 +2,14 @@
 
 import jax.numpy as jnp
 import pytest
+from numpy.testing import assert_array_almost_equal as aaae
+
 from lcm.dispatchers import (
     productmap,
     spacemap,
     vmap_1d,
 )
 from lcm.functools import allow_args
-from numpy.testing import assert_array_almost_equal as aaae
 
 
 def f(a, /, *, b, c):
@@ -40,7 +41,7 @@ def g(a, /, b, *, c, d):
 # ======================================================================================
 
 
-@pytest.fixture()
+@pytest.fixture
 def setup_productmap_f():
     return {
         "a": jnp.linspace(-5, 5, 10),
@@ -49,7 +50,7 @@ def setup_productmap_f():
     }
 
 
-@pytest.fixture()
+@pytest.fixture
 def expected_productmap_f():
     grids = {
         "a": jnp.linspace(-5, 5, 10),
@@ -61,7 +62,7 @@ def expected_productmap_f():
     return allow_args(f)(*helper).reshape(10, 7, 5)
 
 
-@pytest.fixture()
+@pytest.fixture
 def setup_productmap_g():
     return {
         "a": jnp.linspace(-5, 5, 10),
@@ -71,7 +72,7 @@ def setup_productmap_g():
     }
 
 
-@pytest.fixture()
+@pytest.fixture
 def expected_productmap_g():
     grids = {
         "a": jnp.linspace(-5, 5, 10),
@@ -185,7 +186,7 @@ def test_productmap_with_some_argument_mapped_twice():
 # ======================================================================================
 
 
-@pytest.fixture()
+@pytest.fixture
 def setup_spacemap():
     value_grid = {
         "a": jnp.array([1.0, 2, 3]),
@@ -206,7 +207,7 @@ def setup_spacemap():
     return value_grid, combination_grid
 
 
-@pytest.fixture()
+@pytest.fixture
 def expected_spacemap():
     value_grid = {
         "a": jnp.array([1.0, 2, 3]),
diff --git a/tests/test_entry_point.py b/tests/test_entry_point.py
index 79ab59ee..ff2eeda2 100644
--- a/tests/test_entry_point.py
+++ b/tests/test_entry_point.py
@@ -1,15 +1,15 @@
 import jax.numpy as jnp
 import pytest
+from pybaum import tree_equal, tree_map
+
 from lcm.entry_point import (
     create_compute_conditional_continuation_policy,
     create_compute_conditional_continuation_value,
     get_lcm_function,
 )
+from lcm.input_processing import process_model
 from lcm.model_functions import get_utility_and_feasibility_function
-from lcm.process_model import process_model
 from lcm.state_space import create_state_choice_space
-from pybaum import tree_equal, tree_map
-
 from tests.test_models.deterministic import get_model_config
 from tests.test_models.deterministic import utility as iskhakov_et_al_2017_utility
 
@@ -30,15 +30,15 @@
 
 
 @pytest.mark.parametrize(
-    "user_model",
+    "model",
     [
         get_model_config(name, n_periods=3)
         for name in ["iskhakov_et_al_2017", *STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS]
     ],
     ids=["iskhakov_et_al_2017", *STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS],
 )
-def test_get_lcm_function_with_solve_target(user_model):
-    solve_model, params_template = get_lcm_function(model=user_model)
+def test_get_lcm_function_with_solve_target(model):
+    solve_model, params_template = get_lcm_function(model=model)
 
     params = tree_map(lambda _: 0.2, params_template)
 
@@ -51,16 +51,16 @@ def test_get_lcm_function_with_solve_target(user_model):
 
 
 @pytest.mark.parametrize(
-    "user_model",
+    "model",
     [
         get_model_config(name, n_periods=3)
         for name in STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS
     ],
     ids=STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS,
 )
-def test_get_lcm_function_with_simulation_target_simple(user_model):
+def test_get_lcm_function_with_simulation_target_simple(model):
     simulate, params_template = get_lcm_function(
-        model=user_model,
+        model=model,
         targets="solve_and_simulate",
     )
     params = tree_map(lambda _: 0.2, params_template)
@@ -70,30 +70,30 @@ def test_get_lcm_function_with_simulation_target_simple(user_model):
         initial_states={
             "wealth": jnp.array([0.0, 10.0, 50.0]),
         },
-        additional_targets=["age"] if "age" in user_model.functions else None,
+        additional_targets=["age"] if "age" in model.functions else None,
     )
 
 
 @pytest.mark.parametrize(
-    "user_model",
+    "model",
     [
         get_model_config(name, n_periods=3)
         for name in STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS
     ],
     ids=STRIPPED_DOWN_AND_FULLY_DISCRETE_MODELS,
 )
-def test_get_lcm_function_with_simulation_is_coherent(user_model):
+def test_get_lcm_function_with_simulation_is_coherent(model):
     """Test that solve_and_simulate creates same output as solve then simulate."""
     # solve then simulate
     # ==================================================================================
 
     # solve
-    solve_model, params_template = get_lcm_function(model=user_model)
+    solve_model, params_template = get_lcm_function(model=model)
     params = tree_map(lambda _: 0.2, params_template)
     vf_arr_list = solve_model(params)
 
     # simulate using solution
-    simulate_model, _ = get_lcm_function(model=user_model, targets="simulate")
+    simulate_model, _ = get_lcm_function(model=model, targets="simulate")
 
     solve_then_simulate = simulate_model(
         params,
@@ -106,7 +106,7 @@ def test_get_lcm_function_with_simulation_is_coherent(user_model):
     # solve and simulate
     # ==================================================================================
     solve_and_simulate_model, _ = get_lcm_function(
-        model=user_model,
+        model=model,
         targets="solve_and_simulate",
     )
 
@@ -121,18 +121,18 @@ def test_get_lcm_function_with_simulation_is_coherent(user_model):
 
 
 @pytest.mark.parametrize(
-    "user_model",
+    "model",
     [get_model_config("iskhakov_et_al_2017", n_periods=3)],
     ids=["iskhakov_et_al_2017"],
 )
-def test_get_lcm_function_with_simulation_target_iskhakov_et_al_2017(user_model):
+def test_get_lcm_function_with_simulation_target_iskhakov_et_al_2017(model):
     # solve model
-    solve_model, params_template = get_lcm_function(model=user_model, targets="solve")
+    solve_model, params_template = get_lcm_function(model=model, targets="solve")
     params = tree_map(lambda _: 0.2, params_template)
     vf_arr_list = solve_model(params)
 
     # simulate using solution
-    simulate_model, _ = get_lcm_function(model=user_model, targets="simulate")
+    simulate_model, _ = get_lcm_function(model=model, targets="simulate")
 
     simulate_model(
         params,
@@ -358,13 +358,13 @@ def test_create_compute_conditional_continuation_policy_with_discrete_model():
 
 
 def test_get_lcm_function_with_period_argument_in_filter():
-    user_model = get_model_config("iskhakov_et_al_2017", n_periods=3)
+    model = get_model_config("iskhakov_et_al_2017", n_periods=3)
 
     def absorbing_retirement_filter(retirement, lagged_retirement, _period):
         return jnp.logical_or(retirement == 1, lagged_retirement == 0)
 
-    user_model.functions["absorbing_retirement_filter"] = absorbing_retirement_filter
+    model.functions["absorbing_retirement_filter"] = absorbing_retirement_filter
 
-    solve_model, params_template = get_lcm_function(model=user_model)
+    solve_model, params_template = get_lcm_function(model=model)
     params = tree_map(lambda _: 0.2, params_template)
     solve_model(params)
diff --git a/tests/test_function_representation.py b/tests/test_function_representation.py
index 5d033b76..ef993948 100644
--- a/tests/test_function_representation.py
+++ b/tests/test_function_representation.py
@@ -3,6 +3,7 @@
 
 import jax.numpy as jnp
 import pytest
+
 from lcm import LinspaceGrid
 from lcm.dispatchers import productmap
 from lcm.function_representation import (
@@ -13,9 +14,7 @@
     _get_lookup_function,
     get_function_representation,
 )
-from lcm.grids import linspace
 from lcm.interfaces import (
-    ContinuousGridInfo,
     IndexerInfo,
     SpaceInfo,
 )
@@ -34,8 +33,7 @@ def test_function_evaluator_with_one_continuous_variable():
         indexer_infos=[],
     )
 
-    grid = linspace(**wealth_grid.info._asdict())
-    vf_arr = jnp.pi * grid + 2
+    vf_arr = jnp.pi * wealth_grid.to_jax() + 2
 
     # create the evaluator
     evaluator = get_function_representation(
@@ -273,8 +271,7 @@ def test_get_lookup_function():
 def test_get_coordinate_finder():
     find_coordinate = _get_coordinate_finder(
         in_name="wealth",
-        grid_type="linspace",
-        grid_info=ContinuousGridInfo(start=0, stop=10, n_points=21),
+        grid=LinspaceGrid(start=0, stop=10, n_points=21),
     )
 
     calculated = find_coordinate(wealth=5.75)
@@ -308,7 +305,7 @@ def _utility(wealth, working):
 # ======================================================================================
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_get_function_evaluator_illustrative():
     a_grid = LinspaceGrid(start=0, stop=1, n_points=3)
 
@@ -321,9 +318,7 @@ def test_get_function_evaluator_illustrative():
         indexer_infos=[],
     )
 
-    grid = linspace(**a_grid.info._asdict())
-
-    values = jnp.pi * grid + 2
+    values = jnp.pi * a_grid.to_jax() + 2
 
     # create the evaluator
     evaluator = get_function_representation(
@@ -342,7 +337,7 @@ def test_get_function_evaluator_illustrative():
     assert jnp.allclose(got, expected)
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_get_lookup_function_illustrative():
     values = jnp.array([0, 1, 4])
     func = _get_lookup_function(array_name="xyz", axis_names=["a"])
@@ -351,12 +346,11 @@ def test_get_lookup_function_illustrative():
     assert pure_lookup_func(a=2) == 4
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_get_coordinate_finder_illustrative():
     find_coordinate = _get_coordinate_finder(
         in_name="a",
-        grid_type="linspace",
-        grid_info=ContinuousGridInfo(start=0, stop=1, n_points=3),
+        grid=LinspaceGrid(start=0, stop=1, n_points=3),
     )
 
     assert find_coordinate(a=0) == 0
@@ -365,7 +359,7 @@ def test_get_coordinate_finder_illustrative():
     assert find_coordinate(a=0.25) == 0.5
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_get_interpolator_illustrative():
     interpolate = _get_interpolator(
         name_of_values_on_grid="test_name",
@@ -386,7 +380,7 @@ def f(a, b):
     assert interpolate(test_name=values, a=0.5, b=1.5) == -1
 
 
-@pytest.mark.illustrative()
+@pytest.mark.illustrative
 def test_fail_if_interpolation_axes_are_not_last_illustrative():
     # Empty intersection of axis_names and interpolation_info
     # ==================================================================================
diff --git a/tests/test_functools.py b/tests/test_functools.py
index f55ffe0e..b0bff402 100644
--- a/tests/test_functools.py
+++ b/tests/test_functools.py
@@ -4,6 +4,8 @@
 import jax.numpy as jnp
 import pytest
 from jax import vmap
+from numpy.testing import assert_array_almost_equal as aaae
+
 from lcm.functools import (
     all_as_args,
     all_as_kwargs,
@@ -12,7 +14,6 @@
     convert_kwargs_to_args,
     get_union_of_arguments,
 )
-from numpy.testing import assert_array_almost_equal as aaae
 
 # ======================================================================================
 # get_union_of_arguments
@@ -20,10 +21,10 @@
 
 
 def test_get_union_of_arguments():
-    def f(a, b):  # noqa: ARG001
+    def f(a, b):
         pass
 
-    def g(b, c):  # noqa: ARG001
+    def g(b, c):
         pass
 
     got = get_union_of_arguments([f, g])
@@ -160,7 +161,7 @@ def f(a, /, b):
 
 
 def test_allow_only_kwargs_signature_change():
-    def f(a, /, b, *, c):  # noqa: ARG001
+    def f(a, /, b, *, c):
         pass
 
     decorated = allow_only_kwargs(f)
@@ -239,7 +240,7 @@ def f(a, *, b):
 
 
 def test_allow_args_signature_change():
-    def f(a, /, b, *, c):  # noqa: ARG001
+    def f(a, /, b, *, c):
         pass
 
     decorated = allow_args(f)
diff --git a/tests/test_grid_helpers.py b/tests/test_grid_helpers.py
new file mode 100644
index 00000000..8468030b
--- /dev/null
+++ b/tests/test_grid_helpers.py
@@ -0,0 +1,153 @@
+import numpy as np
+import pytest
+from jax.scipy.ndimage import map_coordinates
+from numpy.testing import assert_array_almost_equal as aaae
+
+from lcm.grid_helpers import (
+    get_linspace_coordinate,
+    get_logspace_coordinate,
+    linspace,
+    logspace,
+)
+
+
+def test_linspace():
+    calculated = linspace(start=1, stop=2, n_points=6)
+    expected = np.array([1, 1.2, 1.4, 1.6, 1.8, 2])
+    aaae(calculated, expected)
+
+
+def test_linspace_mapped_value():
+    """For reference of the grid values, see expected grid in `test_linspace`."""
+    # Get position corresponding to a value in the grid
+    calculated = get_linspace_coordinate(
+        value=1.2,
+        start=1,
+        stop=2,
+        n_points=6,
+    )
+    assert np.allclose(calculated, 1.0)
+
+    # Get position corresponding to a value that is between two grid points
+    # ----------------------------------------------------------------------------------
+    # Here, the value is 1.3, that is in the middle of 1.2 and 1.4, which have the
+    # positions 1 and 2, respectively. Therefore, we want the position to be 1.5.
+    calculated = get_linspace_coordinate(
+        value=1.3,
+        start=1,
+        stop=2,
+        n_points=6,
+    )
+    assert np.allclose(calculated, 1.5)
+
+    # Get position corresponding to a value that is outside the grid
+    calculated = get_linspace_coordinate(
+        value=0.6,
+        start=1,
+        stop=2,
+        n_points=6,
+    )
+    assert np.allclose(calculated, -2.0)
+
+
+def test_logspace():
+    calculated = logspace(start=1, stop=100, n_points=7)
+    expected = np.array(
+        [1.0, 2.15443469, 4.64158883, 10.0, 21.5443469, 46.41588834, 100.0],
+    )
+    aaae(calculated, expected)
+
+
+def test_logspace_mapped_value():
+    """For reference of the grid values, see expected grid in `test_logspace`."""
+    calculated = get_logspace_coordinate(
+        value=(2.15443469 + 4.64158883) / 2,
+        start=1,
+        stop=100,
+        n_points=7,
+    )
+    assert np.allclose(calculated, 1.5)
+
+
+@pytest.mark.illustrative
+def test_map_coordinates_linear():
+    """Illustrative test on how the output of get_linspace_coordinate can be used."""
+    grid_info = {
+        "start": 0,
+        "stop": 1,
+        "n_points": 3,
+    }
+
+    grid = linspace(**grid_info)  # [0, 0.5, 1]
+
+    values = 2 * grid  # [0, 1.0, 2.0]
+
+    # We choose a coordinate that is exactly in the middle between the first and second
+    # entry of the grid.
+    coordinate = get_linspace_coordinate(
+        value=0.25,
+        **grid_info,
+    )
+
+    # Perform the linear interpolation
+    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
+    assert np.allclose(interpolated_value, 0.5)
+
+
+@pytest.mark.illustrative
+def test_map_coordinates_logarithmic():
+    """Illustrative test on how the output of get_logspace_coordinate can be used."""
+    grid_info = {
+        "start": 1,
+        "stop": 2,
+        "n_points": 3,
+    }
+
+    grid = logspace(**grid_info)  # [1.0, 1.414213562373095, 2.0]
+
+    values = 2 * grid  # [2.0, 2.82842712474619, 4.0]
+
+    # We choose a coordinate that is exactly in the middle between the first and second
+    # entry of the grid.
+    coordinate = get_logspace_coordinate(
+        value=(1.0 + 1.414213562373095) / 2,
+        **grid_info,
+    )
+
+    # Perform the linear interpolation
+    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
+    assert np.allclose(interpolated_value, (2.0 + 2.82842712474619) / 2)
+
+
+@pytest.mark.illustrative
+def test_map_coordinates_linear_outside_grid():
+    """Illustrative test on what happens to values outside the grid.
+
+    If mode="nearest", the value corresponding to the closest coordinate that still lies
+    within the grid is returned.
+
+    """
+    grid_info = {
+        "start": 0,
+        "stop": 1,
+        "n_points": 2,
+    }
+
+    grid = linspace(**grid_info)  # [0, 1]
+
+    values = 2 * grid  # [0, 2.0]
+
+    # We choose a coordinate that is exactly in the middle between the first and second
+    # entry of the grid.
+    coordinate = get_linspace_coordinate(
+        value=-1,
+        **grid_info,
+    )
+
+    assert coordinate == -1.0
+
+    # Perform the linear interpolation
+    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
+
+    # Because mode="nearest", the value at the first grid point is returned
+    assert np.allclose(interpolated_value, 0.0)
diff --git a/tests/test_grids.py b/tests/test_grids.py
index ccafaac5..a6b8b4bd 100644
--- a/tests/test_grids.py
+++ b/tests/test_grids.py
@@ -1,152 +1,88 @@
 import numpy as np
 import pytest
-from jax.scipy.ndimage import map_coordinates
+
+from lcm.exceptions import GridInitializationError
 from lcm.grids import (
-    get_linspace_coordinate,
-    get_logspace_coordinate,
-    linspace,
-    logspace,
+    DiscreteGrid,
+    LinspaceGrid,
+    LogspaceGrid,
+    _validate_continuous_grid,
+    _validate_discrete_grid,
 )
-from numpy.testing import assert_array_almost_equal as aaae
-
-
-def test_linspace():
-    calculated = linspace(start=1, stop=2, n_points=6)
-    expected = np.array([1, 1.2, 1.4, 1.6, 1.8, 2])
-    aaae(calculated, expected)
-
-
-def test_linspace_mapped_value():
-    """For reference of the grid values, see expected grid in `test_linspace`."""
-    # Get position corresponding to a value in the grid
-    calculated = get_linspace_coordinate(
-        value=1.2,
-        start=1,
-        stop=2,
-        n_points=6,
-    )
-    assert np.allclose(calculated, 1.0)
-
-    # Get position corresponding to a value that is between two grid points
-    # ----------------------------------------------------------------------------------
-    # Here, the value is 1.3, that is in the middle of 1.2 and 1.4, which have the
-    # positions 1 and 2, respectively. Therefore, we want the position to be 1.5.
-    calculated = get_linspace_coordinate(
-        value=1.3,
-        start=1,
-        stop=2,
-        n_points=6,
-    )
-    assert np.allclose(calculated, 1.5)
-
-    # Get position corresponding to a value that is outside the grid
-    calculated = get_linspace_coordinate(
-        value=0.6,
-        start=1,
-        stop=2,
-        n_points=6,
-    )
-    assert np.allclose(calculated, -2.0)
-
-
-def test_logspace():
-    calculated = logspace(start=1, stop=100, n_points=7)
-    expected = np.array(
-        [1.0, 2.15443469, 4.64158883, 10.0, 21.5443469, 46.41588834, 100.0],
-    )
-    aaae(calculated, expected)
-
-
-def test_logspace_mapped_value():
-    """For reference of the grid values, see expected grid in `test_logspace`."""
-    calculated = get_logspace_coordinate(
-        value=(2.15443469 + 4.64158883) / 2,
-        start=1,
-        stop=100,
-        n_points=7,
-    )
-    assert np.allclose(calculated, 1.5)
-
-
-@pytest.mark.illustrative()
-def test_map_coordinates_linear():
-    """Illustrative test on how the output of get_linspace_coordinate can be used."""
-    grid_info = {
-        "start": 0,
-        "stop": 1,
-        "n_points": 3,
-    }
-
-    grid = linspace(**grid_info)  # [0, 0.5, 1]
-
-    values = 2 * grid  # [0, 1.0, 2.0]
-
-    # We choose a coordinate that is exactly in the middle between the first and second
-    # entry of the grid.
-    coordinate = get_linspace_coordinate(
-        value=0.25,
-        **grid_info,
-    )
-
-    # Perform the linear interpolation
-    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
-    assert np.allclose(interpolated_value, 0.5)
-
-
-@pytest.mark.illustrative()
-def test_map_coordinates_logarithmic():
-    """Illustrative test on how the output of get_logspace_coordinate can be used."""
-    grid_info = {
-        "start": 1,
-        "stop": 2,
-        "n_points": 3,
-    }
-
-    grid = logspace(**grid_info)  # [1.0, 1.414213562373095, 2.0]
-
-    values = 2 * grid  # [2.0, 2.82842712474619, 4.0]
-
-    # We choose a coordinate that is exactly in the middle between the first and second
-    # entry of the grid.
-    coordinate = get_logspace_coordinate(
-        value=(1.0 + 1.414213562373095) / 2,
-        **grid_info,
-    )
-
-    # Perform the linear interpolation
-    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
-    assert np.allclose(interpolated_value, (2.0 + 2.82842712474619) / 2)
-
-
-@pytest.mark.illustrative()
-def test_map_coordinates_linear_outside_grid():
-    """Illustrative test on what happens to values outside the grid.
-
-    If mode="nearest", the value corresponding to the closest coordinate that still lies
-    within the grid is returned.
-
-    """
-    grid_info = {
-        "start": 0,
-        "stop": 1,
-        "n_points": 2,
-    }
-
-    grid = linspace(**grid_info)  # [0, 1]
-
-    values = 2 * grid  # [0, 2.0]
-
-    # We choose a coordinate that is exactly in the middle between the first and second
-    # entry of the grid.
-    coordinate = get_linspace_coordinate(
-        value=-1,
-        **grid_info,
-    )
-
-    assert coordinate == -1.0
 
-    # Perform the linear interpolation
-    interpolated_value = map_coordinates(values, [coordinate], order=1, mode="nearest")
 
-    # Because mode="nearest", the value at the first grid point is returned
-    assert np.allclose(interpolated_value, 0.0)
+def test_validate_discrete_grid_empty():
+    assert _validate_discrete_grid([]) == ["options must contain at least one element"]
+
+
+def test_validate_discrete_grid_non_scalar_input():
+    assert _validate_discrete_grid([1, "a"]) == [
+        "options must contain only scalar int or float values",
+    ]
+
+
+def test_validate_discrete_grid_non_unique():
+    assert _validate_discrete_grid([1, 2, 2]) == [
+        "options must contain unique values",
+    ]
+
+
+def test_validate_continuous_grid_invalid_start():
+    assert _validate_continuous_grid("a", 1, 10) == [
+        "start must be a scalar int or float value"
+    ]
+
+
+def test_validate_continuous_grid_invalid_stop():
+    assert _validate_continuous_grid(1, "a", 10) == [
+        "stop must be a scalar int or float value"
+    ]
+
+
+def test_validate_continuous_grid_invalid_n_points():
+    assert _validate_continuous_grid(1, 2, "a") == [
+        "n_points must be an int greater than 0 but is a"
+    ]
+
+
+def test_validate_continuous_grid_negative_n_points():
+    assert _validate_continuous_grid(1, 2, -1) == [
+        "n_points must be an int greater than 0 but is -1"
+    ]
+
+
+def test_validate_continuous_grid_start_greater_than_stop():
+    assert _validate_continuous_grid(2, 1, 10) == ["start must be less than stop"]
+
+
+def test_linspace_grid_creation():
+    grid = LinspaceGrid(start=1, stop=5, n_points=5)
+    assert np.allclose(grid.to_jax(), np.linspace(1, 5, 5))
+
+
+def test_logspace_grid_creation():
+    grid = LogspaceGrid(start=1, stop=10, n_points=3)
+    assert np.allclose(grid.to_jax(), np.logspace(np.log10(1), np.log10(10), 3))
+
+
+def test_discrete_grid_creation():
+    grid = DiscreteGrid(options=[0, 1, 2])
+    assert np.allclose(grid.to_jax(), np.arange(3))
+
+
+def test_linspace_grid_invalid_start():
+    with pytest.raises(GridInitializationError, match="start must be less than stop"):
+        LinspaceGrid(start=1, stop=0, n_points=10)
+
+
+def test_logspace_grid_invalid_start():
+    with pytest.raises(GridInitializationError, match="start must be less than stop"):
+        LogspaceGrid(start=1, stop=0, n_points=10)
+
+
+def test_discrete_grid_invalid_options():
+    with pytest.raises(
+        GridInitializationError,
+        match="options must contain only scalar int or float values",
+    ):
+        DiscreteGrid(options=[1, "a"])
diff --git a/tests/test_model.py b/tests/test_model.py
new file mode 100644
index 00000000..547a7762
--- /dev/null
+++ b/tests/test_model.py
@@ -0,0 +1,134 @@
+import pytest
+
+from lcm.exceptions import ModelInitilizationError
+from lcm.grids import DiscreteGrid
+from lcm.user_model import Model
+
+
+def test_model_invalid_states():
+    with pytest.raises(ModelInitilizationError, match="states must be a dictionary"):
+        Model(
+            n_periods=2,
+            states="health",
+            choices={},
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_invalid_choices():
+    with pytest.raises(ModelInitilizationError, match="choices must be a dictionary"):
+        Model(
+            n_periods=2,
+            states={},
+            choices="exercise",
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_invalid_functions():
+    with pytest.raises(ModelInitilizationError, match="functions must be a dictionary"):
+        Model(
+            n_periods=2,
+            states={},
+            choices={},
+            functions="utility",
+        )
+
+
+def test_model_invalid_functions_values():
+    with pytest.raises(
+        ModelInitilizationError, match="function values must be a callable, but is 0."
+    ):
+        Model(
+            n_periods=2,
+            states={},
+            choices={},
+            functions={"utility": 0},
+        )
+
+
+def test_model_invalid_functions_keys():
+    with pytest.raises(
+        ModelInitilizationError, match="function keys must be a strings, but is 0."
+    ):
+        Model(
+            n_periods=2,
+            states={},
+            choices={},
+            functions={0: lambda: 0},
+        )
+
+
+def test_model_invalid_choices_values():
+    with pytest.raises(
+        ModelInitilizationError, match="choices value 0 must be an LCM grid."
+    ):
+        Model(
+            n_periods=2,
+            states={},
+            choices={"exercise": 0},
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_invalid_states_values():
+    with pytest.raises(
+        ModelInitilizationError, match="states value 0 must be an LCM grid."
+    ):
+        Model(
+            n_periods=2,
+            states={"health": 0},
+            choices={},
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_invalid_n_periods():
+    with pytest.raises(
+        ModelInitilizationError, match="Number of periods must be a positive integer."
+    ):
+        Model(
+            n_periods=0,
+            states={},
+            choices={},
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_missing_next_func():
+    with pytest.raises(
+        ModelInitilizationError,
+        match="Each state must have a corresponding next state function.",
+    ):
+        Model(
+            n_periods=2,
+            states={"health": DiscreteGrid([0, 1])},
+            choices={"exercise": DiscreteGrid([0, 1])},
+            functions={"utility": lambda: 0},
+        )
+
+
+def test_model_missing_utility():
+    with pytest.raises(
+        ModelInitilizationError,
+        match="Utility function is not defined. LCM expects a function called 'utility",
+    ):
+        Model(
+            n_periods=2,
+            states={},
+            choices={},
+            functions={},
+        )
+
+
+def test_model_overlapping_states_choices():
+    with pytest.raises(
+        ModelInitilizationError,
+        match="States and choices cannot have overlapping names.",
+    ):
+        Model(
+            n_periods=2,
+            states={"health": DiscreteGrid([0, 1])},
+            choices={"health": DiscreteGrid([0, 1])},
+            functions={"utility": lambda: 0},
+        )
diff --git a/tests/test_model_functions.py b/tests/test_model_functions.py
index 262df586..bd9a933d 100644
--- a/tests/test_model_functions.py
+++ b/tests/test_model_functions.py
@@ -1,15 +1,15 @@
 import jax.numpy as jnp
 import pandas as pd
+from numpy.testing import assert_array_equal
+
+from lcm.input_processing import process_model
 from lcm.interfaces import InternalModel
 from lcm.model_functions import (
     get_combined_constraint,
     get_multiply_weights,
     get_utility_and_feasibility_function,
 )
-from lcm.process_model import process_model
 from lcm.state_space import create_state_choice_space
-from numpy.testing import assert_array_equal
-
 from tests.test_models.deterministic import get_model_config, utility
 
 
@@ -34,7 +34,7 @@ def h():
         functions={"f": f, "g": g, "h": h},
         function_info=function_info,
         params=None,
-        shocks=None,
+        random_utility_shocks=None,
         n_periods=None,
     )
     combined_constraint = get_combined_constraint(model)
diff --git a/tests/test_models/deterministic.py b/tests/test_models/deterministic.py
index 64cc144e..0e3f8f20 100644
--- a/tests/test_models/deterministic.py
+++ b/tests/test_models/deterministic.py
@@ -10,18 +10,8 @@
 from copy import deepcopy
 
 import jax.numpy as jnp
-from lcm import DiscreteGrid, LinspaceGrid, Model
 
-# ======================================================================================
-# Numerical parameters and constants
-# ======================================================================================
-
-N_GRID_POINTS = {
-    "wealth": 100,
-    "consumption": 500,
-}
-
-RETIREMENT_AGE = 65
+from lcm import DiscreteGrid, LinspaceGrid, Model
 
 # ======================================================================================
 # Model functions
@@ -48,19 +38,6 @@ def utility_with_filter(
     return utility(consumption, working=working, disutility_of_work=disutility_of_work)
 
 
-def utility_fully_discrete(
-    consumption,
-    working,
-    disutility_of_work,
-    # Temporary workaround for bug described in issue #30, which requires us to pass
-    # all state variables to the utility function.
-    # TODO(@timmens): Remove function once #30 is fixed (re-use "utility").
-    # https://github.com/OpenSourceEconomics/lcm/issues/30
-    consumption_index,  # noqa: ARG001
-):
-    return utility(consumption, working=working, disutility_of_work=disutility_of_work)
-
-
 # --------------------------------------------------------------------------------------
 # Auxiliary variables
 # --------------------------------------------------------------------------------------
@@ -135,14 +112,14 @@ def absorbing_retirement_filter(retirement, lagged_retirement):
         "consumption": LinspaceGrid(
             start=1,
             stop=400,
-            n_points=N_GRID_POINTS["consumption"],
+            n_points=500,
         ),
     },
     states={
         "wealth": LinspaceGrid(
             start=1,
             stop=400,
-            n_points=N_GRID_POINTS["wealth"],
+            n_points=100,
         ),
         "lagged_retirement": DiscreteGrid([0, 1]),
     },
@@ -169,14 +146,14 @@ def absorbing_retirement_filter(retirement, lagged_retirement):
         "consumption": LinspaceGrid(
             start=1,
             stop=400,
-            n_points=N_GRID_POINTS["consumption"],
+            n_points=500,
         ),
     },
     states={
         "wealth": LinspaceGrid(
             start=1,
             stop=400,
-            n_points=N_GRID_POINTS["wealth"],
+            n_points=100,
         ),
     },
 )
@@ -189,24 +166,21 @@ def absorbing_retirement_filter(retirement, lagged_retirement):
     ),
     n_periods=3,
     functions={
-        # "utility": utility_fully_discrete,
         "utility": utility,
         "next_wealth": next_wealth,
         "consumption_constraint": consumption_constraint,
         "labor_income": labor_income,
         "working": working,
-        # "consumption": consumption,
     },
     choices={
         "retirement": DiscreteGrid([0, 1]),
-        # "consumption_index": DiscreteGrid([0, 1]),
         "consumption": DiscreteGrid([1, 2]),
     },
     states={
         "wealth": LinspaceGrid(
             start=1,
             stop=400,
-            n_points=N_GRID_POINTS["wealth"],
+            n_points=100,
         ),
     },
 )
diff --git a/tests/test_models/stochastic.py b/tests/test_models/stochastic.py
index f4cead8a..e5e96005 100644
--- a/tests/test_models/stochastic.py
+++ b/tests/test_models/stochastic.py
@@ -12,18 +12,10 @@
 from copy import deepcopy
 
 import jax.numpy as jnp
+
 import lcm
 from lcm import DiscreteGrid, LinspaceGrid, Model
 
-# ======================================================================================
-# Numerical parameters and constants
-# ======================================================================================
-
-N_GRID_POINTS = {
-    "wealth": 100,
-    "consumption": 200,
-}
-
 # ======================================================================================
 # Model functions
 # ======================================================================================
@@ -64,12 +56,12 @@ def next_wealth(wealth, consumption, labor_income, interest_rate):
 # Stochastic state transitions
 # --------------------------------------------------------------------------------------
 @lcm.mark.stochastic
-def next_health(health, partner):  # noqa: ARG001
+def next_health(health, partner):
     pass
 
 
 @lcm.mark.stochastic
-def next_partner(_period, working, partner):  # noqa: ARG001
+def next_partner(_period, working, partner):
     pass
 
 
@@ -103,7 +95,7 @@ def consumption_constraint(consumption, wealth):
         "consumption": LinspaceGrid(
             start=1,
             stop=100,
-            n_points=N_GRID_POINTS["consumption"],
+            n_points=200,
         ),
     },
     states={
@@ -112,7 +104,7 @@ def consumption_constraint(consumption, wealth):
         "wealth": LinspaceGrid(
             start=1,
             stop=100,
-            n_points=N_GRID_POINTS["wealth"],
+            n_points=100,
         ),
     },
 )
diff --git a/tests/test_next_state.py b/tests/test_next_state.py
index 152b1d06..7bdcbb27 100644
--- a/tests/test_next_state.py
+++ b/tests/test_next_state.py
@@ -1,10 +1,10 @@
 import jax.numpy as jnp
 import pandas as pd
-from lcm.interfaces import InternalModel
-from lcm.next_state import _get_stochastic_next_func, get_next_state_function
-from lcm.process_model import process_model
 from pybaum import tree_equal
 
+from lcm.input_processing import process_model
+from lcm.interfaces import InternalModel
+from lcm.next_state import _get_stochastic_next_func, get_next_state_function
 from tests.test_models.deterministic import get_model_config
 
 # ======================================================================================
@@ -68,7 +68,7 @@ def f_weight_b(state):  # noqa: ARG001
         gridspecs=None,
         variable_info=None,
         params=None,
-        shocks=None,
+        random_utility_shocks=None,
         n_periods=1,
     )
 
diff --git a/tests/test_random_choice.py b/tests/test_random_choice.py
index 714556ff..5335d02c 100644
--- a/tests/test_random_choice.py
+++ b/tests/test_random_choice.py
@@ -1,5 +1,6 @@
 import jax
 import jax.numpy as jnp
+
 from lcm.random_choice import random_choice
 
 
diff --git a/tests/test_regression_test.py b/tests/test_regression_test.py
index ec9b04cc..4a6b5edf 100644
--- a/tests/test_regression_test.py
+++ b/tests/test_regression_test.py
@@ -1,10 +1,10 @@
 import jax.numpy as jnp
 import pandas as pd
-from lcm._config import TEST_DATA
-from lcm.entry_point import get_lcm_function
 from numpy.testing import assert_array_almost_equal as aaae
 from pandas.testing import assert_frame_equal
 
+from lcm._config import TEST_DATA
+from lcm.entry_point import get_lcm_function
 from tests.test_models.deterministic import get_model_config, get_params
 
 
diff --git a/tests/test_simulate.py b/tests/test_simulate.py
index 6d77ac80..a9ab723c 100644
--- a/tests/test_simulate.py
+++ b/tests/test_simulate.py
@@ -2,14 +2,17 @@
 import pandas as pd
 import pytest
 from jax import random
+from numpy.testing import assert_array_almost_equal, assert_array_equal
+from pybaum import tree_equal
+
 from lcm.entry_point import (
     create_compute_conditional_continuation_policy,
     get_lcm_function,
 )
+from lcm.input_processing import process_model
 from lcm.logging import get_logger
 from lcm.model_functions import get_utility_and_feasibility_function
 from lcm.next_state import _get_next_state_function_simulation
-from lcm.process_model import process_model
 from lcm.simulate import (
     _as_data_frame,
     _compute_targets,
@@ -24,11 +27,7 @@
     simulate,
 )
 from lcm.state_space import create_state_choice_space
-from numpy.testing import assert_array_almost_equal, assert_array_equal
-from pybaum import tree_equal
-
 from tests.test_models.deterministic import (
-    N_GRID_POINTS,
     get_model_config,
     get_params,
 )
@@ -38,7 +37,7 @@
 # ======================================================================================
 
 
-@pytest.fixture()
+@pytest.fixture
 def simulate_inputs():
     model_config = get_model_config("iskhakov_et_al_2017_stripped_down", n_periods=1)
     model = process_model(model_config)
@@ -66,10 +65,12 @@ def simulate_inputs():
         )
         compute_ccv_policy_functions.append(compute_ccv)
 
+    n_grid_points = model_config.choices["consumption"].n_points
+
     return {
         "state_indexers": [{}],
         "continuous_choice_grids": [
-            {"consumption": jnp.linspace(1, 100, num=N_GRID_POINTS["consumption"])},
+            {"consumption": jnp.linspace(1, 100, num=n_grid_points)},
         ],
         "compute_ccv_policy_functions": compute_ccv_policy_functions,
         "model": model,
@@ -103,7 +104,7 @@ def test_simulate_using_raw_inputs(simulate_inputs):
 # ======================================================================================
 
 
-@pytest.fixture()
+@pytest.fixture
 def iskhakov_et_al_2017_stripped_down_model_solution():
     def _model_solution(n_periods):
         model_config = get_model_config(
diff --git a/tests/test_solution_on_toy_model.py b/tests/test_solution_on_toy_model.py
index 6fcdab8b..3da3b008 100644
--- a/tests/test_solution_on_toy_model.py
+++ b/tests/test_solution_on_toy_model.py
@@ -1,17 +1,19 @@
 """Test analytical solution and simulation with only discrete choices."""
 
 from copy import deepcopy
+from dataclasses import replace
 
 import jax.numpy as jnp
-import lcm
 import numpy as np
 import pandas as pd
 import pytest
-from lcm import DiscreteGrid, LinspaceGrid, Model
-from lcm.entry_point import get_lcm_function
 from numpy.testing import assert_array_almost_equal as aaae
 from pandas.testing import assert_frame_equal
 
+import lcm
+from lcm import DiscreteGrid, LinspaceGrid, Model
+from lcm.entry_point import get_lcm_function
+
 
 # ======================================================================================
 # Model specification
@@ -50,7 +52,7 @@ def consumption_constraint(consumption, wealth):
 
 
 @lcm.mark.stochastic
-def next_health(health):  # noqa: ARG001
+def next_health(health):
     pass
 
 
@@ -311,8 +313,9 @@ def analytical_simulate_stochastic(initial_wealth, initial_health, health_1, par
 def test_deterministic_solve(beta, n_wealth_points):
     # Update model
     # ==================================================================================
-    model = deepcopy(DETERMINISTIC_MODEL)
-    model.states["wealth"] = model.states["wealth"].replace(n_points=n_wealth_points)
+    new_states = DETERMINISTIC_MODEL.states
+    new_states["wealth"] = replace(new_states["wealth"], n_points=n_wealth_points)
+    model = DETERMINISTIC_MODEL.replace(states=new_states)
 
     # Solve model using LCM
     # ==================================================================================
@@ -344,10 +347,9 @@ def test_deterministic_solve(beta, n_wealth_points):
 def test_deterministic_simulate(beta, n_wealth_points):
     # Update model
     # ==================================================================================
-    model = deepcopy(DETERMINISTIC_MODEL)
-    model.states["wealth"] = model.states["wealth"].replace(
-        n_points=n_wealth_points,
-    )
+    new_states = DETERMINISTIC_MODEL.states
+    new_states["wealth"] = replace(new_states["wealth"], n_points=n_wealth_points)
+    model = DETERMINISTIC_MODEL.replace(states=new_states)
 
     # Simulate model using LCM
     # ==================================================================================
@@ -381,14 +383,11 @@ def test_deterministic_simulate(beta, n_wealth_points):
 @pytest.mark.parametrize("n_wealth_points", [100, 1_000])
 @pytest.mark.parametrize("health_transition", HEALTH_TRANSITION)
 def test_stochastic_solve(beta, n_wealth_points, health_transition):
-    beta = 0.9
-    n_wealth_points = 100
     # Update model
     # ==================================================================================
-    model = deepcopy(STOCHASTIC_MODEL)
-    model.states["wealth"] = model.states["wealth"].replace(
-        n_points=n_wealth_points,
-    )
+    new_states = STOCHASTIC_MODEL.states
+    new_states["wealth"] = replace(new_states["wealth"], n_points=n_wealth_points)
+    model = STOCHASTIC_MODEL.replace(states=new_states)
 
     # Solve model using LCM
     # ==================================================================================
@@ -434,10 +433,9 @@ def test_stochastic_solve(beta, n_wealth_points, health_transition):
 def test_stochastic_simulate(beta, n_wealth_points, health_transition):
     # Update model
     # ==================================================================================
-    model = deepcopy(STOCHASTIC_MODEL)
-    model.states["wealth"] = model.states["wealth"].replace(
-        n_points=n_wealth_points,
-    )
+    new_states = STOCHASTIC_MODEL.states
+    new_states["wealth"] = replace(new_states["wealth"], n_points=n_wealth_points)
+    model = STOCHASTIC_MODEL.replace(states=new_states)
 
     # Simulate model using LCM
     # ==================================================================================
diff --git a/tests/test_solve_brute.py b/tests/test_solve_brute.py
index 97687bf4..7fc11f2c 100644
--- a/tests/test_solve_brute.py
+++ b/tests/test_solve_brute.py
@@ -1,11 +1,12 @@
 import jax.numpy as jnp
 import numpy as np
 from jax.scipy.ndimage import map_coordinates
+from numpy.testing import assert_array_almost_equal as aaae
+
 from lcm.entry_point import create_compute_conditional_continuation_value
 from lcm.interfaces import Space
 from lcm.logging import get_logger
 from lcm.solve_brute import solve, solve_continuous_problem
-from numpy.testing import assert_array_almost_equal as aaae
 
 
 def test_solve_brute():
@@ -94,7 +95,7 @@ def _get_continuation_value(lazy, wealth, vf_arr):
     # create emax aggregators and choice segments
     # ==================================================================================
 
-    def calculate_emax(values):
+    def calculate_emax(values, params):  # noqa: ARG001
         """Take max over axis that corresponds to working."""
         return values.max(axis=1)
 
diff --git a/tests/test_state_space.py b/tests/test_state_space.py
index 3350043d..c5d9384c 100644
--- a/tests/test_state_space.py
+++ b/tests/test_state_space.py
@@ -2,8 +2,10 @@
 import numpy as np
 import pandas as pd
 import pytest
+from numpy.testing import assert_array_almost_equal as aaae
+
+from lcm.input_processing import process_model
 from lcm.interfaces import InternalModel
-from lcm.process_model import process_model
 from lcm.state_space import (
     create_combination_grid,
     create_filter_mask,
@@ -11,8 +13,6 @@
     create_indexers_and_segments,
     create_state_choice_space,
 )
-from numpy.testing import assert_array_almost_equal as aaae
-
 from tests.test_models.deterministic import get_model_config
 
 
@@ -28,7 +28,7 @@ def test_create_state_choice_space():
     )
 
 
-@pytest.fixture()
+@pytest.fixture
 def filter_mask_inputs():
     def age(period):
         return period + 18
@@ -68,7 +68,7 @@ def absorbing_retirement_filter(retirement, lagged_retirement):
         variable_info=None,
         functions=functions,
         function_info=function_info,
-        shocks=None,
+        random_utility_shocks=None,
         n_periods=100,
         params={},
     )
diff --git a/tests/test_stochastic.py b/tests/test_stochastic.py
index 0dfc9a67..ab0c369f 100644
--- a/tests/test_stochastic.py
+++ b/tests/test_stochastic.py
@@ -1,11 +1,11 @@
 import jax.numpy as jnp
-import lcm
 import pandas as pd
 import pytest
+
+import lcm
 from lcm.entry_point import (
     get_lcm_function,
 )
-
 from tests.test_models.stochastic import get_model_config, get_params
 
 # ======================================================================================
@@ -63,7 +63,7 @@ def test_get_lcm_function_with_solve_target():
 # ======================================================================================
 
 
-@pytest.fixture()
+@pytest.fixture
 def model_and_params():
     """Return a simple deterministic and stochastic model with parameters.
 
@@ -76,7 +76,7 @@ def model_and_params():
     # Overwrite health transition with simple stochastic version and deterministic one
     # ==================================================================================
     @lcm.mark.stochastic
-    def next_health_stochastic(health):  # noqa: ARG001
+    def next_health_stochastic(health):
         pass
 
     def next_health_deterministic(health):