{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2cf8ab46",
   "metadata": {},
   "source": [
    "# Integration into ABM frameworks\n",
    "\n",
    "Pop2net provides seamless integration with two widely used agent-based modeling frameworks: [Mesa](https://mesa.readthedocs.io/latest/) and [AgentPy](https://agentpy.readthedocs.io/en/latest/). To use Pop2net with either framework, you only need to follow two steps:\n",
    "\n",
    "First, when defining an Actor or Location class, it must inherit from both the corresponding Pop2net class and the framework’s class — in that order. For example:\n",
    "\n",
    "```python\n",
    "class Actor(p2n.Actor, mesa.Agent):\n",
    "    pass\n",
    "\n",
    "class Location(p2n.Location, mesa.Agent):\n",
    "    pass\n",
    "```\n",
    "\n",
    "Second, provide the model instance and the name of the framework to the Environment object:\n",
    "\n",
    "```python\n",
    "env = p2n.Environment(model=model, framework=\"mesa\")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3b6929b",
   "metadata": {},
   "source": [
    "## Basic examples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55bee6f3",
   "metadata": {},
   "source": [
    "### Mesa\n",
    "Let's begin by defining an `Actor` class.  \n",
    "It's important that the class inherits first from `p2n.Actor`, and then from `mesa.Agent`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "a5fe9017",
   "metadata": {},
   "outputs": [],
   "source": [
    "import mesa\n",
    "\n",
    "import pop2net as p2n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "fad5438b",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Actor(p2n.Actor, mesa.Agent):\n",
    "    def say_hello(self):\n",
    "        print(\"Hello I am an actor.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef9384dc",
   "metadata": {},
   "source": [
    "Location classes must also inherit from `mesa.Agent`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "e1229c4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Location(p2n.Location, mesa.Agent):\n",
    "    def say_hello(self):\n",
    "        print(\"Hello I am a location.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4151b39c",
   "metadata": {},
   "source": [
    "A common use case when integrating Pop2net with Mesa (or AgentPy) is to extend the simulation model with an `Environment` object. This object stores all actors and locations and manages their relationships using Pop2net's structure.\n",
    "When extending a Mesa model with a Pop2net environment, it's important to pass the model instance to the `Environment` and to set the `framework` argument to `\"mesa\"`:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "1fdfe213",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model(mesa.Model):\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        super().__init__(*args, **kwargs)\n",
    "\n",
    "        # add pop2net environment object as model attribute\n",
    "        self.env = p2n.Environment(model=self, framework=\"mesa\")\n",
    "\n",
    "        # add one actor to the environment\n",
    "        self.env.add_actor(Actor(model=self))\n",
    "\n",
    "        # add one location to the environment\n",
    "        self.env.add_location(Location(model=self))\n",
    "\n",
    "    def step(self):\n",
    "        # Because env.actors and env.locations are AgentSets now,\n",
    "        # we can use the Mesa Syntax to let the agents do something:\n",
    "        self.env.actors.do(\"say_hello\")\n",
    "        self.env.locations.do(\"say_hello\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb45b931",
   "metadata": {},
   "source": [
    "Let's create the model and have a look at the agent attribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "1692ccab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<__main__.Actor at 0x133bca900>, <__main__.Location at 0x133bcaa50>]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = Model()\n",
    "list(model.agents)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1bf7301",
   "metadata": {},
   "source": [
    "The model's agent attribute includes both the actor and the location because locations are also considered as agents in Pop2net.\n",
    "This is something you have to keep in mind!\n",
    "\n",
    "To get only actors or only locations, you can use `model.env.actors` or `model.env.locations`. Both are `mesa.AgentSet`s now:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "d7868bda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mesa.agent.AgentSet at 0x133d573b0>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "5070bb80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<__main__.Actor at 0x133bca900>]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(model.env.actors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "03123259",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mesa.agent.AgentSet at 0x133d57530>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "580a0270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<__main__.Location at 0x133bcaa50>]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(model.env.locations)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bce2db81",
   "metadata": {},
   "source": [
    "Let's run the model for one step:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "a9635e86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello I am an actor.\n",
      "Hello I am a location.\n"
     ]
    }
   ],
   "source": [
    "model.step()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b1303f6",
   "metadata": {},
   "source": [
    "### AgentPy\n",
    "\n",
    "Here is the same example adapted for AgentPy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "2cd894e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import agentpy as ap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "fec7f555",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Actor(p2n.Actor, ap.Agent):\n",
    "    def say_hello(self):\n",
    "        print(\"Hello I am an actor.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "fc3e733f",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Location(p2n.Location, ap.Agent):\n",
    "    def say_hello(self):\n",
    "        print(\"Hello I am a location.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "ab437aaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model(ap.Model):\n",
    "    def setup(self):\n",
    "        # add pop2net environment object as model attribute\n",
    "        self.env = p2n.Environment(model=self, framework=\"agentpy\")\n",
    "\n",
    "        # add one actor to the environment\n",
    "        self.env.add_actor(Actor(model=self))\n",
    "\n",
    "        # add one location to the environment\n",
    "        self.env.add_location(Location(model=self))\n",
    "\n",
    "    def step(self):\n",
    "        # Because env.actors and env.locations are AgentLists now,\n",
    "        # we can use the AgentPy Syntax to let the agents do something:\n",
    "        self.env.actors.say_hello()\n",
    "        self.env.locations.say_hello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "e974480c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello I am an actor.\n",
      "Hello I am a location.\n",
      "\rCompleted: 1 steps\n",
      "Run time: 0:00:00.000219\n",
      "Simulation finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DataDict {\n",
       "'info': Dictionary with 9 keys\n",
       "'reporters': DataFrame with 1 variable and 1 row\n",
       "}"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = Model()\n",
    "model.run(steps=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccbfaa93",
   "metadata": {},
   "source": [
    "## Simple examples with the Creator\n",
    "\n",
    "Below are some super simple examples of how to integrate the Creator in Mesa's or AgentPy's models.\n",
    "One important aspect here is that the creator automatically makes sure that the created actors and locations inherit from the specified framework if you do not provide custom actor or location classes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b986248e",
   "metadata": {},
   "source": [
    "### Mesa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "40f48375",
   "metadata": {},
   "outputs": [],
   "source": [
    "class CompleteGraph(p2n.LocationDesigner):\n",
    "    pass\n",
    "\n",
    "\n",
    "class Model(mesa.Model):\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        super().__init__(*args, **kwargs)\n",
    "\n",
    "        # add pop2net's objects to mesa's model\n",
    "        self.env = p2n.Environment(model=self, framework=\"mesa\")\n",
    "        self.creator = p2n.Creator(env=self.env)\n",
    "        self.inspector = p2n.NetworkInspector(env=self.env)\n",
    "\n",
    "        # create actors and locations\n",
    "        self.creator.create_actors(n=10)\n",
    "        self.creator.create_locations(location_designers=[CompleteGraph])\n",
    "\n",
    "\n",
    "model = Model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "0904f23b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mesa.agent.AgentSet at 0x133d82690>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "404fb738",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(model.env.actors[0], mesa.Agent) and isinstance(model.env.actors[0], p2n.Actor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "78d3d0d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<mesa.agent.AgentSet at 0x133ad49b0>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "aa574265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(model.env.locations[0], mesa.Agent) and isinstance(model.env.locations[0], p2n.Location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "c4f1717c",
   "metadata": {},
   "outputs": [
    {
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error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.7.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {throw error;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
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       <tr style='display:@{start_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>start</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@start</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{end_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>end</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@end</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{weight_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>weight</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@weight</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{index_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>index</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@index</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{label_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>label</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@label</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{type_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>type</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@type</td>\\n        \\n        </tr>\\n        </table></div>\",\"line_policy\":\"interp\"}}],\"logo\":null}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2565\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2566\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2567\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2568\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2560\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2561\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2562\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2563\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2564\",\"attributes\":{\"axis\":{\"id\":\"p2560\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2569\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2565\"},\"grid_line_color\":null}}]}}]}};\n  const render_items = [{\"docid\":\"03811576-f643-495b-a22e-389c604c6c3d\",\"roots\":{\"p2549\":\"e43a7b66-a55b-4322-ab4a-09f876b5fc56\"},\"root_ids\":[\"p2549\"],\"notebook_comms_target\":\"p2602\"}];\n  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
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If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(null);\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? 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       <tr style='display:@{start_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>start</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@start</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{end_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>end</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@end</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{weight_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>weight</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@weight</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{index_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>index</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@index</td>\\n        \\n        </tr>\\n        \\n        <tr style='display:@{type_display};'>\\n        \\n        <td style='text-align: right;color: #4682b4;'>type</td>\\n        <td>:</td>\\n        <td style='text-align: left;'>@type</td>\\n        \\n        </tr>\\n        </table></div>\",\"line_policy\":\"interp\"}}],\"logo\":null}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2630\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2631\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2632\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2633\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2625\",\"attributes\":{\"visible\":false,\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2626\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2627\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2628\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2629\",\"attributes\":{\"axis\":{\"id\":\"p2625\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2634\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2630\"},\"grid_line_color\":null}}]}}]}};\n  const render_items = [{\"docid\":\"4d90acb7-2437-4e79-9e97-0ac0ab0a29ad\",\"roots\":{\"p2614\":\"f3b8109d-3b92-479a-8936-9ff8e89ead52\"},\"root_ids\":[\"p2614\"],\"notebook_comms_target\":\"p2667\"}];\n  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.inspector.plot_networks()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe837bde",
   "metadata": {},
   "source": [
    "### AgentPy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "1b41991b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\rCompleted: 1 steps\n",
      "Run time: 0:00:00.001282\n",
      "Simulation finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DataDict {\n",
       "'info': Dictionary with 9 keys\n",
       "'reporters': DataFrame with 1 variable and 1 row\n",
       "}"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class CompleteGraph(p2n.LocationDesigner):\n",
    "    pass\n",
    "\n",
    "\n",
    "class Model(ap.Model):\n",
    "    def setup(self):\n",
    "        # add pop2net's objects to agentpy's model\n",
    "        self.env = p2n.Environment(model=self, framework=\"agentpy\")\n",
    "        self.creator = p2n.Creator(env=self.env)\n",
    "        self.inspector = p2n.NetworkInspector(env=self.env)\n",
    "\n",
    "        # create actors and locations\n",
    "        self.creator.create_actors(n=10)\n",
    "        self.creator.create_locations(location_designers=[CompleteGraph])\n",
    "\n",
    "\n",
    "model = Model()\n",
    "model.run(steps=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "d2a0f279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AgentList (10 objects)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "fb00d4d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(model.env.actors[0], ap.Agent) and isinstance(model.env.actors[0], p2n.Actor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "976bb2f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AgentList (1 object)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.env.locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "3eecc555",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(model.env.locations[0], ap.Agent) and isinstance(model.env.locations[0], p2n.Location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "8840b5c7",
   "metadata": {},
   "outputs": [
    {
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If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(null);\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? 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 const render_items = [{\"docid\":\"b65c26f1-04af-4ec2-916e-b0d91bc29311\",\"roots\":{\"p2678\":\"a03bb0ff-bf37-404d-98d2-a94afcc1740a\"},\"root_ids\":[\"p2678\"],\"notebook_comms_target\":\"p2731\"}];\n  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n  }\n  if (root.Bokeh !== undefined) {\n    embed_document(root);\n  } else {\n    let attempts = 0;\n    const timer = setInterval(function(root) {\n      if (root.Bokeh !== undefined) {\n        clearInterval(timer);\n        embed_document(root);\n      } else {\n        attempts++;\n        if (attempts > 100) {\n          clearInterval(timer);\n          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n        }\n      }\n    }, 10, root)\n  }\n})(window);",
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      "application/javascript": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\nconst JS_MIME_TYPE = 'application/javascript';\n  const HTML_MIME_TYPE = 'text/html';\n  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n  const CLASS_NAME = 'output_bokeh rendered_html';\n\n  /**\n   * Render data to the DOM node\n   */\n  function render(props, node) {\n    const script = document.createElement(\"script\");\n    node.appendChild(script);\n  }\n\n  /**\n   * Handle when an output is cleared or removed\n   */\n  function handleClearOutput(event, handle) {\n    function drop(id) {\n      const view = Bokeh.index.get_by_id(id)\n      if (view != null) {\n        view.model.document.clear()\n        Bokeh.index.delete(view)\n      }\n    }\n\n    const cell = handle.cell;\n\n    const id = cell.output_area._bokeh_element_id;\n    const server_id = cell.output_area._bokeh_server_id;\n\n    // Clean up Bokeh references\n    if (id != null) {\n      drop(id)\n    }\n\n    if (server_id !== undefined) {\n      // Clean up Bokeh references\n      const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n      cell.notebook.kernel.execute(cmd_clean, {\n        iopub: {\n          output: function(msg) {\n            const id = msg.content.text.trim()\n            drop(id)\n          }\n        }\n      });\n      // Destroy server and session\n      const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n      cell.notebook.kernel.execute(cmd_destroy);\n    }\n  }\n\n  /**\n   * Handle when a new output is added\n   */\n  function handleAddOutput(event, handle) {\n    const output_area = handle.output_area;\n    const output = handle.output;\n\n    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n      return\n    }\n\n    const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n      // store reference to embed id on output_area\n      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n    }\n    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n      const bk_div = document.createElement(\"div\");\n      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n      const script_attrs = bk_div.children[0].attributes;\n      for (let i = 0; i < script_attrs.length; i++) {\n        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n      }\n      // store reference to server id on output_area\n      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n    }\n  }\n\n  function register_renderer(events, OutputArea) {\n\n    function append_mime(data, metadata, element) {\n      // create a DOM node to render to\n      const toinsert = this.create_output_subarea(\n        metadata,\n        CLASS_NAME,\n        EXEC_MIME_TYPE\n      );\n      this.keyboard_manager.register_events(toinsert);\n      // Render to node\n      const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n      render(props, toinsert[toinsert.length - 1]);\n      element.append(toinsert);\n      return toinsert\n    }\n\n    /* Handle when an output is cleared or removed */\n    events.on('clear_output.CodeCell', handleClearOutput);\n    events.on('delete.Cell', handleClearOutput);\n\n    /* Handle when a new output is added */\n    events.on('output_added.OutputArea', handleAddOutput);\n\n    /**\n     * Register the mime type and append_mime function with output_area\n     */\n    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n      /* Is output safe? */\n      safe: true,\n      /* Index of renderer in `output_area.display_order` */\n      index: 0\n    });\n  }\n\n  // register the mime type if in Jupyter Notebook environment and previously unregistered\n  if (root.Jupyter !== undefined) {\n    const events = require('base/js/events');\n    const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  }\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(null);\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.7.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {throw error;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));",
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     "metadata": {},
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     "data": {
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