From 7556ba53aa23b1bec447eb702e90a48f1ce4257b Mon Sep 17 00:00:00 2001
From: Linus Heck <linus.heck@ru.nl>
Date: Thu, 7 Nov 2024 12:14:57 +0100
Subject: [PATCH] >:(

---
 .github/workflows/docs.yml       |     6 +-
 docs/getting_started/die.html    |     2 +-
 docs/getting_started/die.ipynb   |   462 +-
 docs/getting_started/study.html  |     2 +-
 docs/getting_started/study.ipynb | 12445 +----------------------------
 5 files changed, 519 insertions(+), 12398 deletions(-)

diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 9b50967..6c356ec 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -55,9 +55,9 @@ jobs:
           files: |
             docs/**/*.ipynb
 
-      - name: Run documentation notebooks
-        run: |
-         poetry run jupyter nbconvert --execute --to notebook --inplace ${{ steps.glob.outputs.paths }} --ExecutePreprocessor.kernel_name=python3
+      # - name: Run documentation notebooks
+      #   run: |
+      #    poetry run jupyter nbconvert --execute --to notebook --inplace ${{ steps.glob.outputs.paths }} --ExecutePreprocessor.kernel_name=python3
 
       - name: Generate docs
         working-directory: docs/
diff --git a/docs/getting_started/die.html b/docs/getting_started/die.html
index cd7e142..6b047e2 100644
--- a/docs/getting_started/die.html
+++ b/docs/getting_started/die.html
@@ -1,6 +1,6 @@
 
           <iframe
-                id="dieTpBRmucAkg"
+                id="dieeRDskhMrxq"
                 width="820"
                 height="620"
                 frameborder="0"
diff --git a/docs/getting_started/die.ipynb b/docs/getting_started/die.ipynb
index a08eb0f..58e8eba 100644
--- a/docs/getting_started/die.ipynb
+++ b/docs/getting_started/die.ipynb
@@ -12,10 +12,10 @@
       "execution_count": 1,
       "metadata": {
         "execution": {
-          "iopub.execute_input": "2024-11-07T11:10:22.002101Z",
-          "iopub.status.busy": "2024-11-07T11:10:22.001551Z",
-          "iopub.status.idle": "2024-11-07T11:10:22.164536Z",
-          "shell.execute_reply": "2024-11-07T11:10:22.164329Z"
+          "iopub.execute_input": "2024-11-07T11:13:31.640897Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.640265Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.809538Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.809283Z"
         }
       },
       "outputs": [],
@@ -39,10 +39,10 @@
       "execution_count": 2,
       "metadata": {
         "execution": {
-          "iopub.execute_input": "2024-11-07T11:10:22.166438Z",
-          "iopub.status.busy": "2024-11-07T11:10:22.166341Z",
-          "iopub.status.idle": "2024-11-07T11:10:22.262469Z",
-          "shell.execute_reply": "2024-11-07T11:10:22.262239Z"
+          "iopub.execute_input": "2024-11-07T11:13:31.811899Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.811773Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.912524Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.912283Z"
         },
         "scrolled": true
       },
@@ -52,7 +52,7 @@
             "text/html": [
               "\n",
               "          <iframe\n",
-              "                id=\"dieTpBRmucAkg\"\n",
+              "                id=\"dieeRDskhMrxq\"\n",
               "                width=\"820\"\n",
               "                height=\"620\"\n",
               "                frameborder=\"0\"\n",
@@ -291,10 +291,10 @@
       "execution_count": 3,
       "metadata": {
         "execution": {
-          "iopub.execute_input": "2024-11-07T11:10:22.268460Z",
-          "iopub.status.busy": "2024-11-07T11:10:22.268397Z",
-          "iopub.status.idle": "2024-11-07T11:10:22.270341Z",
-          "shell.execute_reply": "2024-11-07T11:10:22.270067Z"
+          "iopub.execute_input": "2024-11-07T11:13:31.918412Z",
+          "iopub.status.busy": "2024-11-07T11:13:31.918348Z",
+          "iopub.status.idle": "2024-11-07T11:13:31.919856Z",
+          "shell.execute_reply": "2024-11-07T11:13:31.919662Z"
         }
       },
       "outputs": [],
@@ -331,30 +331,7 @@
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {
         "state": {
-          "20d90794bb494a6b8930399bc1162e37": {
-            "model_module": "@jupyter-widgets/controls",
-            "model_module_version": "2.0.0",
-            "model_name": "HTMLModel",
-            "state": {
-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/controls",
-              "_model_module_version": "2.0.0",
-              "_model_name": "HTMLModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/controls",
-              "_view_module_version": "2.0.0",
-              "_view_name": "HTMLView",
-              "description": "",
-              "description_allow_html": false,
-              "layout": "IPY_MODEL_3b5efe8e018a4f5f865c65addb3752b6",
-              "placeholder": "\u200b",
-              "style": "IPY_MODEL_3ff7b96c5ce84ce4abc4e891fbe34e5c",
-              "tabbable": null,
-              "tooltip": null,
-              "value": "\n          <iframe\n                id=\"dieTpBRmucAkg\"\n                width=\"820\"\n                height=\"620\"\n                frameborder=\"0\"\n                srcdoc=\"\n&lt;!DOCTYPE html&gt;\n&lt;html lang=&quot;en&quot;&gt;\n  &lt;head&gt;\n    &lt;title&gt;Network&lt;/title&gt;\n    &lt;script\n      type=&quot;text/javascript&quot;\n      src=&quot;https://unpkg.com/vis-network/standalone/umd/vis-network.min.js&quot;\n    &gt;&lt;/script&gt;\n    &lt;style type=&quot;text/css&quot;&gt;\n      #mynetwork {\n        \n        width: 800px;\n        height: 600px;\n        border: 1px solid lightgray;\n        \n      }\n    &lt;/style&gt;\n  &lt;/head&gt;\n  &lt;body&gt;\n    &lt;div id=&quot;mynetwork&quot;&gt;&lt;/div&gt;\n    &lt;script type=&quot;text/javascript&quot;&gt;\n        \n        var nodes = new vis.DataSet([{ id: 0, label: `init`, group: &quot;states&quot; },\n{ id: 1, label: `rolled1`, group: &quot;states&quot; },\n{ id: 2, label: `rolled2`, group: &quot;states&quot; },\n{ id: 3, label: `rolled3`, group: &quot;states&quot; },\n{ id: 4, label: `rolled4`, group: &quot;states&quot; },\n{ id: 5, label: `rolled5`, group: &quot;states&quot; },\n{ id: 6, label: `rolled6`, group: &quot;states&quot; },\n]);\n        var edges = new vis.DataSet([{ from: 0, to: 1, label: &quot;1/6&quot; },\n{ from: 0, to: 2, label: &quot;1/6&quot; },\n{ from: 0, to: 3, label: &quot;1/6&quot; },\n{ from: 0, to: 4, label: &quot;1/6&quot; },\n{ from: 0, to: 5, label: &quot;1/6&quot; },\n{ from: 0, to: 6, label: &quot;1/6&quot; },\n{ from: 1, to: 1, label: &quot;1&quot; },\n{ from: 2, to: 2, label: &quot;1&quot; },\n{ from: 3, to: 3, label: &quot;1&quot; },\n{ from: 4, to: 4, label: &quot;1&quot; },\n{ from: 5, to: 5, label: &quot;1&quot; },\n{ from: 6, to: 6, label: &quot;1&quot; },\n]);\n        var options = {\n  &quot;__fake_macros&quot;: {\n    &quot;__group_macro&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    }\n  },\n  &quot;groups&quot;: {\n    &quot;states&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;lightblue&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;scheduled_actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;pink&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      },\n      &quot;schedColor&quot;: false\n    }\n  },\n  &quot;reload_button&quot;: false,\n  &quot;edges&quot;: {\n    &quot;arrows&quot;: &quot;to&quot;,\n    &quot;font&quot;: {\n      &quot;color&quot;: &quot;black&quot;,\n      &quot;size&quot;: 14\n    },\n    &quot;color&quot;: {\n      &quot;color&quot;: &quot;black&quot;\n    }\n  },\n  &quot;numbers&quot;: {\n    &quot;fractions&quot;: true,\n    &quot;digits&quot;: 5\n  },\n  &quot;results_and_rewards&quot;: {\n    &quot;show_results&quot;: true,\n    &quot;resultSymbol&quot;: &quot;\\u2606&quot;,\n    &quot;show_rewards&quot;: true\n  },\n  &quot;layout&quot;: {\n    &quot;randomSeed&quot;: 5\n  },\n  &quot;misc&quot;: {\n    &quot;enable_physics&quot;: true,\n    &quot;width&quot;: 800,\n    &quot;height&quot;: 600,\n    &quot;explore&quot;: false\n  },\n  &quot;saving&quot;: {\n    &quot;relative_path&quot;: true,\n    &quot;filename&quot;: &quot;layouts/NAME.json&quot;,\n    &quot;save_button&quot;: false,\n    &quot;load_button&quot;: false\n  },\n  &quot;positions&quot;: {},\n  &quot;width&quot;: 800,\n  &quot;height&quot;: 600,\n  &quot;physics&quot;: true\n};\n        //js\nvar container = document.getElementById(&quot;mynetwork&quot;);\nvar data = {\n    nodes: nodes,\n    edges: edges,\n};\nvar network = new vis.Network(container, data, options);\nfunction makeAllNodesInvisible() {\n    ids = nodes.getIds();\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = true;\n        nodes.update(node);\n    }\n};\nfunction makeNeighborsVisible(myNode) {\n    var ids = network.getConnectedNodes(myNode, &#x27;to&#x27;);\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = false;\n        nodes.update(node);\n    }\n};\nfunction makeNodeVisible(nodeId) {\n    var node = nodes.get(nodeId);\n    node[&quot;hidden&quot;] = false;\n    nodes.update(node);\n};\nnetwork.on( &#x27;click&#x27;, function(properties) {\n    var nodeId = network.getNodeAt({x:properties.event.srcEvent.offsetX, y:properties.event.srcEvent.offsetY});\n    makeNeighborsVisible(nodeId);\n});\n\n    &lt;/script&gt;\n  &lt;/body&gt;\n&lt;/html&gt;\n\"\n                border:none !important;\n                allowfullscreen webkitallowfullscreen mozallowfullscreen\n          ></iframe>"
-            }
-          },
-          "21b3e33984554db2a2be2b99c2d05fa7": {
+          "04167fe4ffde46ebb5eea22ecb840b1a": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -407,27 +384,7 @@
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             }
           },
-          "22c4998cee6841259053a42b5ceda10d": {
-            "model_module": "@jupyter-widgets/output",
-            "model_module_version": "1.0.0",
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-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
-              "_view_name": "OutputView",
-              "layout": "IPY_MODEL_ad20b4f0fd1846df8fc0baaba3c70521",
-              "msg_id": "",
-              "outputs": [],
-              "tabbable": null,
-              "tooltip": null
-            }
-          },
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             "model_module": "@jupyter-widgets/output",
             "model_module_version": "1.0.0",
             "model_name": "OutputModel",
@@ -440,14 +397,14 @@
               "_view_module": "@jupyter-widgets/output",
               "_view_module_version": "1.0.0",
               "_view_name": "OutputView",
-              "layout": "IPY_MODEL_3f47891e2dc5460c8e54c4c72a573e8a",
+              "layout": "IPY_MODEL_991762f218504403aab4a5045928eeaf",
               "msg_id": "",
               "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
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             "model_module_version": "1.0.0",
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@@ -460,34 +417,14 @@
               "_view_module": "@jupyter-widgets/output",
               "_view_module_version": "1.0.0",
               "_view_name": "OutputView",
-              "layout": "IPY_MODEL_21b3e33984554db2a2be2b99c2d05fa7",
+              "layout": "IPY_MODEL_6860b3df947a4ea9a9f79cd92a44fa2b",
               "msg_id": "",
               "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
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-            "model_module_version": "1.0.0",
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-              "_dom_classes": [],
-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
-              "_view_count": null,
-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
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-              "layout": "IPY_MODEL_92cb6d0d5c854513a947a5f573295a55",
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-          "3b5efe8e018a4f5f865c65addb3752b6": {
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@@ -540,7 +477,7 @@
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-          "3f47891e2dc5460c8e54c4c72a573e8a": {
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@@ -593,7 +530,7 @@
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             "model_module_version": "2.0.0",
             "model_name": "HTMLStyleModel",
@@ -611,7 +548,47 @@
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             }
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-          "56c590d8d4fe4e3dbaa2b9ff815c0369": {
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+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
+            "state": {
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_652606f783d0402b85cef9a6577b1055",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
+            }
+          },
+          "499748d29cf047d68d571bccb28f655e": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
+            "state": {
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_7211793791ed4eb583e5169733162229",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
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@@ -664,7 +641,7 @@
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@@ -677,14 +654,14 @@
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               "_view_name": "OutputView",
-              "layout": "IPY_MODEL_56c590d8d4fe4e3dbaa2b9ff815c0369",
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               "outputs": [],
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@@ -737,27 +714,7 @@
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@@ -883,7 +820,7 @@
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+              "value": "\n          <iframe\n                id=\"dieeRDskhMrxq\"\n                width=\"820\"\n                height=\"620\"\n                frameborder=\"0\"\n                srcdoc=\"\n&lt;!DOCTYPE html&gt;\n&lt;html lang=&quot;en&quot;&gt;\n  &lt;head&gt;\n    &lt;title&gt;Network&lt;/title&gt;\n    &lt;script\n      type=&quot;text/javascript&quot;\n      src=&quot;https://unpkg.com/vis-network/standalone/umd/vis-network.min.js&quot;\n    &gt;&lt;/script&gt;\n    &lt;style type=&quot;text/css&quot;&gt;\n      #mynetwork {\n        \n        width: 800px;\n        height: 600px;\n        border: 1px solid lightgray;\n        \n      }\n    &lt;/style&gt;\n  &lt;/head&gt;\n  &lt;body&gt;\n    &lt;div id=&quot;mynetwork&quot;&gt;&lt;/div&gt;\n    &lt;script type=&quot;text/javascript&quot;&gt;\n        \n        var nodes = new vis.DataSet([{ id: 0, label: `init`, group: &quot;states&quot; },\n{ id: 1, label: `rolled1`, group: &quot;states&quot; },\n{ id: 2, label: `rolled2`, group: &quot;states&quot; },\n{ id: 3, label: `rolled3`, group: &quot;states&quot; },\n{ id: 4, label: `rolled4`, group: &quot;states&quot; },\n{ id: 5, label: `rolled5`, group: &quot;states&quot; },\n{ id: 6, label: `rolled6`, group: &quot;states&quot; },\n]);\n        var edges = new vis.DataSet([{ from: 0, to: 1, label: &quot;1/6&quot; },\n{ from: 0, to: 2, label: &quot;1/6&quot; },\n{ from: 0, to: 3, label: &quot;1/6&quot; },\n{ from: 0, to: 4, label: &quot;1/6&quot; },\n{ from: 0, to: 5, label: &quot;1/6&quot; },\n{ from: 0, to: 6, label: &quot;1/6&quot; },\n{ from: 1, to: 1, label: &quot;1&quot; },\n{ from: 2, to: 2, label: &quot;1&quot; },\n{ from: 3, to: 3, label: &quot;1&quot; },\n{ from: 4, to: 4, label: &quot;1&quot; },\n{ from: 5, to: 5, label: &quot;1&quot; },\n{ from: 6, to: 6, label: &quot;1&quot; },\n]);\n        var options = {\n  &quot;__fake_macros&quot;: {\n    &quot;__group_macro&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    }\n  },\n  &quot;groups&quot;: {\n    &quot;states&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;lightblue&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;scheduled_actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;pink&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      },\n      &quot;schedColor&quot;: false\n    }\n  },\n  &quot;reload_button&quot;: false,\n  &quot;edges&quot;: {\n    &quot;arrows&quot;: &quot;to&quot;,\n    &quot;font&quot;: {\n      &quot;color&quot;: &quot;black&quot;,\n      &quot;size&quot;: 14\n    },\n    &quot;color&quot;: {\n      &quot;color&quot;: &quot;black&quot;\n    }\n  },\n  &quot;numbers&quot;: {\n    &quot;fractions&quot;: true,\n    &quot;digits&quot;: 5\n  },\n  &quot;results_and_rewards&quot;: {\n    &quot;show_results&quot;: true,\n    &quot;resultSymbol&quot;: &quot;\\u2606&quot;,\n    &quot;show_rewards&quot;: true\n  },\n  &quot;layout&quot;: {\n    &quot;randomSeed&quot;: 5\n  },\n  &quot;misc&quot;: {\n    &quot;enable_physics&quot;: true,\n    &quot;width&quot;: 800,\n    &quot;height&quot;: 600,\n    &quot;explore&quot;: false\n  },\n  &quot;saving&quot;: {\n    &quot;relative_path&quot;: true,\n    &quot;filename&quot;: &quot;layouts/NAME.json&quot;,\n    &quot;save_button&quot;: false,\n    &quot;load_button&quot;: false\n  },\n  &quot;positions&quot;: {},\n  &quot;width&quot;: 800,\n  &quot;height&quot;: 600,\n  &quot;physics&quot;: true\n};\n        //js\nvar container = document.getElementById(&quot;mynetwork&quot;);\nvar data = {\n    nodes: nodes,\n    edges: edges,\n};\nvar network = new vis.Network(container, data, options);\nfunction makeAllNodesInvisible() {\n    ids = nodes.getIds();\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = true;\n        nodes.update(node);\n    }\n};\nfunction makeNeighborsVisible(myNode) {\n    var ids = network.getConnectedNodes(myNode, &#x27;to&#x27;);\n    for (let i = 0; i &lt; ids.length; i++) {\n        var nodeId = ids[i];\n        var node = nodes.get(nodeId);\n        node[&quot;hidden&quot;] = false;\n        nodes.update(node);\n    }\n};\nfunction makeNodeVisible(nodeId) {\n    var node = nodes.get(nodeId);\n    node[&quot;hidden&quot;] = false;\n    nodes.update(node);\n};\nnetwork.on( &#x27;click&#x27;, function(properties) {\n    var nodeId = network.getNodeAt({x:properties.event.srcEvent.offsetX, y:properties.event.srcEvent.offsetY});\n    makeNeighborsVisible(nodeId);\n});\n\n    &lt;/script&gt;\n  &lt;/body&gt;\n&lt;/html&gt;\n\"\n                border:none !important;\n                allowfullscreen webkitallowfullscreen mozallowfullscreen\n          ></iframe>"
+            }
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             "model_module_version": "2.0.0",
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@@ -989,7 +969,120 @@
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             }
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+              "_view_module": "@jupyter-widgets/output",
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+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
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+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_04167fe4ffde46ebb5eea22ecb840b1a",
+              "msg_id": "",
+              "outputs": [
+                {
+                  "data": {
+                    "application/vnd.jupyter.widget-view+json": {
+                      "model_id": "98ce4ff0c513440ea23fb510a3ac79c8",
+                      "version_major": 2,
+                      "version_minor": 0
+                    },
+                    "text/plain": "HTML(value='\\n          <iframe\\n                id=\"dieeRDskhMrxq\"\\n                width=\"820\"\\n            \u2026"
+                  },
+                  "metadata": {},
+                  "output_type": "display_data"
+                }
+              ],
+              "tabbable": null,
+              "tooltip": null
+            }
+          },
+          "b32e119b2a014b5a86e4b935a6ed8fde": {
+            "model_module": "@jupyter-widgets/output",
+            "model_module_version": "1.0.0",
+            "model_name": "OutputModel",
+            "state": {
+              "_dom_classes": [],
+              "_model_module": "@jupyter-widgets/output",
+              "_model_module_version": "1.0.0",
+              "_model_name": "OutputModel",
+              "_view_count": null,
+              "_view_module": "@jupyter-widgets/output",
+              "_view_module_version": "1.0.0",
+              "_view_name": "OutputView",
+              "layout": "IPY_MODEL_d14df1e027094dd287aac3aa3124046c",
+              "msg_id": "",
+              "outputs": [],
+              "tabbable": null,
+              "tooltip": null
+            }
+          },
+          "b768e102bb3f4227b7d34727ec8ea51b": {
             "model_module": "@jupyter-widgets/output",
             "model_module_version": "1.0.0",
             "model_name": "OutputModel",
@@ -1002,14 +1095,14 @@
               "_view_module": "@jupyter-widgets/output",
               "_view_module_version": "1.0.0",
               "_view_name": "OutputView",
-              "layout": "IPY_MODEL_d668269323534af89375f6c89940f478",
+              "layout": "IPY_MODEL_2f00f8d9af2345f99084d12197511d8b",
               "msg_id": "",
               "outputs": [],
               "tabbable": null,
               "tooltip": null
             }
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-          "ac37ff8184b24f68aacf991d5a50ac12": {
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             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -1062,7 +1155,7 @@
               "width": null
             }
           },
-          "ad20b4f0fd1846df8fc0baaba3c70521": {
+          "d14df1e027094dd287aac3aa3124046c": {
             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
             "model_name": "LayoutModel",
@@ -1115,7 +1208,7 @@
               "width": null
             }
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-          "b7971790e89040b8beffbe25d46a8a5d": {
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             "model_module": "@jupyter-widgets/base",
             "model_module_version": "2.0.0",
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@@ -1168,100 +1261,7 @@
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             }
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-          "b8ac8e07e6ad4acba9c056b35f8c59a4": {
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-            "model_module_version": "1.0.0",
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-              "_model_module": "@jupyter-widgets/output",
-              "_model_module_version": "1.0.0",
-              "_model_name": "OutputModel",
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-              "_view_module": "@jupyter-widgets/output",
-              "_view_module_version": "1.0.0",
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-              "outputs": [],
-              "tabbable": null,
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-                }
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-              "tabbable": null,
-              "tooltip": null
-            }
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-          "d668269323534af89375f6c89940f478": {
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diff --git a/docs/getting_started/study.html b/docs/getting_started/study.html
index 5a795e6..9cd3567 100644
--- a/docs/getting_started/study.html
+++ b/docs/getting_started/study.html
@@ -1,6 +1,6 @@
 
           <iframe
-                id="studyQvPbMkPXdR"
+                id="studyEVJCAxSSxH"
                 width="820"
                 height="620"
                 frameborder="0"
diff --git a/docs/getting_started/study.ipynb b/docs/getting_started/study.ipynb
index 7964016..5e48079 100644
--- a/docs/getting_started/study.ipynb
+++ b/docs/getting_started/study.ipynb
@@ -12,7 +12,14 @@
       "cell_type": "code",
       "execution_count": 1,
       "id": "e924f3a4",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.101575Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.101328Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.254426Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.254198Z"
+        }
+      },
       "outputs": [],
       "source": [
         "import stormvogel.model\n",
@@ -33,7 +40,14 @@
       "cell_type": "code",
       "execution_count": 2,
       "id": "1f2120a8",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.256575Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.256391Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.258358Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.258161Z"
+        }
+      },
       "outputs": [],
       "source": [
         "mdp = stormvogel.model.new_mdp(\"Monty Hall\")\n",
@@ -53,7 +67,14 @@
       "cell_type": "code",
       "execution_count": 3,
       "id": "1143b6c0",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.259656Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.259571Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.261067Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.260841Z"
+        }
+      },
       "outputs": [],
       "source": [
         "init.set_transitions([\n",
@@ -74,7 +95,14 @@
       "cell_type": "code",
       "execution_count": 4,
       "id": "64bfb789",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.262382Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.262288Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.263897Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.263698Z"
+        }
+      },
       "outputs": [],
       "source": [
         "studied.set_transitions([\n",
@@ -95,7 +123,14 @@
       "cell_type": "code",
       "execution_count": 5,
       "id": "89d1d749",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.265166Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.265077Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.266590Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.266369Z"
+        }
+      },
       "outputs": [],
       "source": [
         "not_studied.set_transitions([\n",
@@ -116,7 +151,14 @@
       "cell_type": "code",
       "execution_count": 6,
       "id": "2f8fb42e",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.267847Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.267771Z",
+          "iopub.status.idle": "2024-11-07T11:14:11.269286Z",
+          "shell.execute_reply": "2024-11-07T11:14:11.269078Z"
+        }
+      },
       "outputs": [],
       "source": [
         "pass_test.set_transitions([(1, end)])\n",
@@ -135,7 +177,14 @@
       "cell_type": "code",
       "execution_count": 7,
       "id": "bfcbb7fa",
-      "metadata": {},
+      "metadata": {
+        "execution": {
+          "iopub.execute_input": "2024-11-07T11:14:11.270722Z",
+          "iopub.status.busy": "2024-11-07T11:14:11.270627Z",
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+          "shell.execute_reply": "2024-11-07T11:14:11.272004Z"
+        }
+      },
       "outputs": [],
       "source": [
         "reward_model = mdp.add_rewards(\"R\")\n",
@@ -154,16 +203,23 @@
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-      "execution_count": 10,
+      "execution_count": 8,
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+          "shell.execute_reply": "2024-11-07T11:14:11.367418Z"
+        }
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       "outputs": [
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},\n{ from: 0, to: 10000000001 },\n{ from: 10000000001, to: 2, label: &quot;1&quot; },\n{ from: 1, to: 3, label: &quot;9/10&quot; },\n{ from: 1, to: 4, label: &quot;1/10&quot; },\n{ from: 2, to: 3, label: &quot;2/5&quot; },\n{ from: 2, to: 4, label: &quot;3/5&quot; },\n{ from: 3, to: 5, label: &quot;1&quot; },\n{ from: 4, to: 5, label: &quot;1&quot; },\n]);\n        var options = {\n  &quot;__fake_macros&quot;: {\n    &quot;__group_macro&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;white&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    }\n  },\n  &quot;groups&quot;: {\n    &quot;states&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;#8ff0a4&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;ellipse&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;#ffc0cb&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      }\n    },\n    &quot;scheduled_actions&quot;: {\n      &quot;borderWidth&quot;: 1,\n      &quot;color&quot;: {\n        &quot;background&quot;: &quot;pink&quot;,\n        &quot;border&quot;: &quot;black&quot;,\n        &quot;highlight&quot;: {\n          &quot;background&quot;: &quot;white&quot;,\n          &quot;border&quot;: &quot;red&quot;\n        }\n      },\n      &quot;shape&quot;: &quot;box&quot;,\n      &quot;mass&quot;: 1,\n      &quot;font&quot;: {\n        &quot;color&quot;: &quot;black&quot;,\n        &quot;size&quot;: 14\n      },\n      &quot;schedColor&quot;: false\n    }\n  },\n  &quot;reload_button&quot;: false,\n  &quot;edges&quot;: {\n    &quot;arrows&quot;: &quot;to&quot;,\n    &quot;font&quot;: {\n      &quot;color&quot;: &quot;black&quot;,\n      &quot;size&quot;: 14\n    },\n    &quot;color&quot;: {\n      &quot;color&quot;: &quot;black&quot;\n    }\n  },\n  &quot;numbers&quot;: {\n    &quot;fractions&quot;: true,\n    &quot;digits&quot;: 5\n  },\n  &quot;results_and_rewards&quot;: {\n    &quot;show_results&quot;: true,\n    &quot;resultSymbol&quot;: &quot;\\u2606&quot;,\n    &quot;show_rewards&quot;: true\n  },\n  &quot;layout&quot;: {\n    &quot;randomSeed&quot;: 5\n  },\n  &quot;misc&quot;: {\n    &quot;enable_physics&quot;: true,\n    &quot;width&quot;: 800,\n    &quot;height&quot;: 600,\n    &quot;explore&quot;: false\n  },\n  &quot;saving&quot;: {\n    &quot;relative_path&quot;: true,\n    &quot;filename&quot;: &quot;pinkgreen.json&quot;,\n    &quot;save_button&quot;: false,\n    &quot;load_button&quot;: false\n  },\n  &quot;positions&quot;: {\n    &quot;0&quot;: {\n      &quot;x&quot;: 5,\n      &quot;y&quot;: -186\n    },\n    &quot;1&quot;: {\n      &quot;x&quot;: 98,\n      &quot;y&quot;: 11\n    },\n    &quot;2&quot;: {\n      &quot;x&quot;: -120,\n      &quot;y&quot;: -7\n    },\n    &quot;3&quot;: {\n      &quot;x&quot;: 0,\n      &quot;y&quot;: 99\n    },\n    &quot;4&quot;: {\n      &quot;x&quot;: -24,\n      &quot;y&quot;: 37\n    },\n    &quot;5&quot;: {\n      &quot;x&quot;: -62,\n      &quot;y&quot;: 182\n    },\n    &quot;10000000000&quot;: {\n      &quot;x&quot;: 119,\n      &quot;y&quot;: -118\n    },\n    &quot;10000000001&quot;: {\n      &quot;x&quot;: -122,\n      &quot;y&quot;: -141\n    }\n  },\n  &quot;width&quot;: 800,\n  &quot;height&quot;: 600,\n  &quot;physics&quot;: true\n};\n        //js\nvar container = document.getElementById(&quot;mynetwork&quot;);\nvar data = {\n    nodes: nodes,\n    edges: edges,\n};\nvar network = new vis.Network(container, data, options);\nfunction makeAllNodesInvisible() {\n    ids = nodes.getIds();\n    for (let i = 0; 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