{
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  "metadata": {
    "colab": {
      "name": "crapssim-sandbox.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/skent259/crapssim/blob/feature-docs/crapssim_sandbox.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "krW51upPVrGn"
      },
      "source": [
        "# Welcome to the crapssim sandbox!\n",
        "\n",
        "This is a quick attempt to allow people to run the crapssim Python package without requiring a detailed python installation.  Some sample code is set up to get you started on running craps simulations quickly."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BRQrYS6VWhfO"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qj3OVDyDWAyQ",
        "outputId": "9d82c788-ae54-4d67-c4cd-f3dcae30bda8"
      },
      "source": [
        "!pip install crapssim\n",
        "import crapssim as craps\n",
        "from crapssim.strategy import *\n",
        "from crapssim.strategy.examples import PlaceInside, IronCross, HammerLock, Risk12, Knockout, DiceDoctor\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from plotnine import *"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: crapssim in /usr/local/lib/python3.10/dist-packages (0.3.0)\n",
            "Requirement already satisfied: numpy>=1.18.0 in /usr/local/lib/python3.10/dist-packages (from crapssim) (1.26.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "obkiYXTRX8RG"
      },
      "source": [
        "## Pick your favorite strategy\n",
        "\n",
        "Either select from the list of available strategies, or write your own.  The file [strategy/examples.py](https://github.com/skent259/crapssim/blob/main/crapssim/strategy/examples.py) has examples of full strategies, but you can check out the detailed tutorial for making your own.  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0YJhhi-MY2VR",
        "outputId": "44b99132-e58f-40bf-b5e7-8866ac6810f5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#@title  { run: \"auto\", display-mode: \"form\" }\n",
        "mode = \"write strategy\" #@param [\"pick strategy\", \"write strategy\"]\n",
        "\n",
        "if mode == 'pick strategy':\n",
        "\n",
        "  strategy = DiceDoctor(10) # @param [\"BetPassLine(10)\",\"BetDontPass(10)\",\"BetPassLine(10) + PassLineOddsMultiplier(2)\",\"PlaceInside(10)\",\"BetPlace({6: 12, 8: 12}, skip_point=False)\",\"IronCross(10)\",\"HammerLock(10)\",\"Risk12()\",\"Knockout(10)\",\"DiceDoctor(10)\"] {\"type\":\"raw\",\"allow-input\":true}\n",
        "\n",
        "elif mode == 'write strategy':\n",
        "\n",
        "  print(\"Write your strategy in code above (click 'show code'):\")\n",
        "\n",
        "  ## Write your strategy below\n",
        "  strategy = BetPassLine(10) + PassLineOddsMultiplier(odds_multiplier=2) + BetPlace({6: 12, 8: 12})\n",
        "\n"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Write your strategy in code above (click 'show code'):\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V6jFCkFClb_9"
      },
      "source": [
        "## Test your strategy\n",
        "\n",
        "Make sure everything is working right, especially if you write a custom strategy. (This is usually the time consuming process for me.)  You can adjust the number of rolls and bankroll accordingly.  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ORylNr_gWQuc",
        "outputId": "8b0c52b6-b1cb-4eba-b7d8-548c79993f7e"
      },
      "source": [
        "# Adjust bankroll or rolls here\n",
        "bankroll = 200\n",
        "max_rolls = 20\n",
        "\n",
        "table = craps.Table()\n",
        "table.add_player(bankroll, strategy)\n",
        "table.run(max_rolls=max_rolls)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Welcome to the Craps Table!\n",
            "Initial players: ['Player 0']\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 5 (4, 1)\n",
            "Point is On (5)\n",
            "Total Player Cash is $200.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 6 (5, 1)\n",
            "Player 0 won $14.0 on Place(6, amount=12.0)!\n",
            "Point is On (5)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 5 (1, 4)\n",
            "Point is Off (None)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 9 (3, 6)\n",
            "Point is On (9)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 9 (4, 5)\n",
            "Point is Off (None)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 9 (5, 4)\n",
            "Point is On (9)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 11 (5, 6)\n",
            "Point is On (9)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 9 (3, 6)\n",
            "Point is Off (None)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 4 (2, 2)\n",
            "Point is On (4)\n",
            "Total Player Cash is $214.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 7 (6, 1)\n",
            "Player 0 lost $12.0 on Place(8, amount=12.0).\n",
            "Player 0 lost $12.0 on Place(6, amount=12.0).\n",
            "Point is Off (None)\n",
            "Total Player Cash is $190.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 7 (3, 4)\n",
            "Point is Off (None)\n",
            "Total Player Cash is $190.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 5 (4, 1)\n",
            "Point is On (5)\n",
            "Total Player Cash is $190.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 3 (1, 2)\n",
            "Point is On (5)\n",
            "Total Player Cash is $190.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 7 (6, 1)\n",
            "Player 0 lost $12.0 on Place(6, amount=12.0).\n",
            "Player 0 lost $12.0 on Place(8, amount=12.0).\n",
            "Point is Off (None)\n",
            "Total Player Cash is $166.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 8 (2, 6)\n",
            "Point is On (8)\n",
            "Total Player Cash is $166.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 10 (5, 5)\n",
            "Point is On (8)\n",
            "Total Player Cash is $166.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 7 (1, 6)\n",
            "Player 0 lost $12.0 on Place(6, amount=12.0).\n",
            "Player 0 lost $12.0 on Place(8, amount=12.0).\n",
            "Point is Off (None)\n",
            "Total Player Cash is $142.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 7 (5, 2)\n",
            "Point is Off (None)\n",
            "Total Player Cash is $142.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 8 (4, 4)\n",
            "Point is On (8)\n",
            "Total Player Cash is $142.0\n",
            "\n",
            "Dice out!\n",
            "Shooter rolled 4 (2, 2)\n",
            "Point is On (8)\n",
            "Total Player Cash is $142.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "whqk27ezm0d-"
      },
      "source": [
        "## Simulate many sessions\n",
        "\n",
        "Use this code to simulate your chosen strategy many times and get a sense for what you might expect at the craps table.  For a reliable outcome, I recommend at least 100,000 simulations (which will take a few minutes)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "48HnX1Ad02ml"
      },
      "source": [
        "#@title Simulation parameters\n",
        "n_sim = 10000 #@param {type:\"integer\"}\n",
        "bankroll = 1000 #@param {type:\"number\"}\n",
        "max_rolls =  144 #@param {type:\"raw\"}\n",
        "max_shooter =  float(\"inf\") #@param {type:\"raw\"}\n",
        "\n",
        "print_every = 1000 #@param {type:\"integer\"}\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E9DRH6mhnVt9",
        "outputId": "563f31c9-05d8-4251-9221-8872a1490014"
      },
      "source": [
        "results = []\n",
        "\n",
        "print(\"[sim, final, initial, n_rolls]\")\n",
        "for i in range(n_sim):\n",
        "  table = craps.Table()\n",
        "  table.add_player(bankroll, strategy, 1)\n",
        "  table.run(max_rolls, max_shooter, verbose=False)\n",
        "\n",
        "\n",
        "  row = [i, table.players[0].bankroll, bankroll, table.dice.n_rolls]\n",
        "  if (i % print_every == 0):\n",
        "    print(row)\n",
        "  results.append(row)\n",
        "\n",
        "# Create dataframe of results\n",
        "results = pd.DataFrame(results, columns = ['sim', 'final', 'initial', 'n_rolls'])\n",
        "results['winnings'] = results['final'] - results['initial']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[sim, final, initial, n_rolls]\n",
            "[0, 1030.0, 1000, 144]\n",
            "[1000, 890.0, 1000, 144]\n",
            "[2000, 960.0, 1000, 144]\n",
            "[3000, 970.0, 1000, 144]\n",
            "[4000, 1040.0, 1000, 144]\n",
            "[5000, 970.0, 1000, 144]\n",
            "[6000, 1060.0, 1000, 144]\n",
            "[7000, 960.0, 1000, 144]\n",
            "[8000, 930.0, 1000, 144]\n",
            "[9000, 1040.0, 1000, 144]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ONHiknYV1qv6"
      },
      "source": [
        "### Visualize results"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "Pewwnx4SrmWk",
        "outputId": "2e410721-ac4e-4232-97df-9c51f29b418b"
      },
      "source": [
        "# Density plot\n",
        "(ggplot(results, aes(x='winnings')) +\n",
        " geom_vline(xintercept = 0, color = 'grey') +\n",
        " geom_density() +\n",
        " theme_minimal() +\n",
        " labs(x = \"Winnings\", y = \"Relative chance of outcome\")\n",
        ")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n"
          },
          "metadata": {
            "image/png": {
              "width": 640,
              "height": 480
            }
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "WoWDmNrnwHcA",
        "outputId": "405d9ae6-6b29-49cc-d727-c5c6494ef719"
      },
      "source": [
        "# Boxplot\n",
        "(ggplot(results,aes(y='winnings',x=0)) +\n",
        " geom_hline(yintercept = 0, color = 'grey') +\n",
        " geom_boxplot(width = 0.4) +\n",
        " xlim(-1, 1) +\n",
        " coord_flip() +\n",
        " theme_minimal()\n",
        ")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n"
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  ]
}