Session_4_Upload_The_Landscape.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SFIComplexityExplorer/Mesa-ABM-Tutorial/blob/main/Session_4_Upload_The_Landscape.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XAnII-29m3r2"
      },
      "source": [
        "# Import Dependencies"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install mesa"
      ],
      "metadata": {
        "id": "cCa7pEqXdY82"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ikSl2Mz0m252"
      },
      "outputs": [],
      "source": [
        "import mesa\n",
        "import numpy as np\n",
        "import math\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BkX5GqjSnAu0"
      },
      "source": [
        "# Resource Classes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "o1EOk5KMnC55"
      },
      "outputs": [],
      "source": [
        "class Sugar(mesa.Agent):\n",
        "  \"\"\"\n",
        "  Sugar: \n",
        "  - contains an amount of sugar\n",
        "  - grows 1 amount of sugar at each turn \n",
        "  \"\"\"\n",
        "\n",
        "  def __init__(self, unique_id, model, pos, max_sugar): \n",
        "    print(\"I am sugar\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-oJ35Mx7nXmK"
      },
      "outputs": [],
      "source": [
        "class Spice(mesa.Agent):\n",
        "  \"\"\"\n",
        "  Spice: \n",
        "  - contains an amount of spice\n",
        "  - grows 1 amount of spice at each turn\n",
        "  \"\"\"\n",
        "\n",
        "  def __init__(self):\n",
        "    print(\"I am spice\")\n",
        "  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XYcwNrHqnrPt"
      },
      "source": [
        "# Trader Agent"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "t51BNfwUnt53"
      },
      "outputs": [],
      "source": [
        "class Trader(mesa.Agent): \n",
        "  \"\"\"\n",
        "  Trader: \n",
        "  - has a metabolism of sugar and spice\n",
        "  - harvest and trade sugar and spice to survive\n",
        "  \"\"\"\n",
        "\n",
        "\n",
        "  def __init__(self):\n",
        "    print(\"I am Trader\")\n",
        " \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SRrU2ABBoF0i"
      },
      "source": [
        "# Model Class"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7DTonjahn2BT"
      },
      "outputs": [],
      "source": [
        "class SugarscapeG1mt(mesa.Model):\n",
        "  \"\"\"\n",
        "  Manager class to run Sugarscape with Traders\n",
        "  \"\"\"\n",
        "  \n",
        "  \n",
        "  def __init__(self, width=50,height=50):\n",
        "    \n",
        "    #Initiate width and heigh of sugarscape\n",
        "    self.width = width\n",
        "    self.height = height \n",
        "    \n",
        "    #initiate mesa grid class\n",
        "    self.grid = mesa.space.MultiGrid(self.width, self.height, torus=False)\n",
        "\n",
        "    #read in landscape file from supplmentary material \n",
        "    sugar_distribution =np.genfromtxt(\"sugar-map.txt\")\n",
        "    spice_distribution = np.flip(sugar_distribution, 1)\n",
        "    plt.imshow(spice_distribution, origin=\"lower\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_KHKfeD9oiYo"
      },
      "source": [
        "# Run Sugarscape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "at455urSol7b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "outputId": "e8641ad4-f161-475a-cde7-cf63c00c249a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "model = SugarscapeG1mt()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vemquyVptT3Z"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.6"
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  },
  "nbformat": 4,
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}