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November 6, 2023 20:44
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running-schnapsen.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "provenance": [], | |
| "authorship_tag": "ABX9TyPJH8IbwZM7Ntg2UNmRKUtz", | |
| "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/gist/tae898/058eb5c7734024cfc1b14f2f6f6530b8/running-schnapsen.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "# Running schnapsen on Google Colab\n", | |
| "\n", | |
| "Although the proper way of cloning & installing repos and coding them is to do on your local machine, we have also provided this Jupyter Notebook for those who can't. Everything you run here is running on a Google server, not your machine. So the changes you make here will not stay forever. " | |
| ], | |
| "metadata": { | |
| "id": "Vie3UDqiJ3BY" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Run this cell to clone and install the repo.\n", | |
| "!rm -rf schnapsen && git clone https://github.com/intelligent-systems-course/schnapsen.git && cd schnapsen && pip install -e ." | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "1LX1rvQHK3Sa", | |
| "outputId": "93738851-59e7-4ed5-a2bb-db5ec944ac1c" | |
| }, | |
| "execution_count": 1, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Cloning into 'schnapsen'...\n", | |
| "remote: Enumerating objects: 1446, done.\u001b[K\n", | |
| "remote: Counting objects: 100% (572/572), done.\u001b[K\n", | |
| "remote: Compressing objects: 100% (233/233), done.\u001b[K\n", | |
| "remote: Total 1446 (delta 382), reused 390 (delta 323), pack-reused 874\u001b[K\n", | |
| "Receiving objects: 100% (1446/1446), 2.09 MiB | 15.41 MiB/s, done.\n", | |
| "Resolving deltas: 100% (767/767), done.\n", | |
| "Obtaining file:///content/schnapsen\n", | |
| " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", | |
| " Checking if build backend supports build_editable ... \u001b[?25l\u001b[?25hdone\n", | |
| " Getting requirements to build editable ... \u001b[?25l\u001b[?25hdone\n", | |
| " Preparing editable metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", | |
| "Collecting class-resolver>=0.0.10 (from schnapsen==0.0.2)\n", | |
| " Downloading class_resolver-0.4.2-py3-none-any.whl (24 kB)\n", | |
| "Collecting click==8.0.1 (from schnapsen==0.0.2)\n", | |
| " Downloading click-8.0.1-py3-none-any.whl (97 kB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m97.4/97.4 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hCollecting flask==2.2.2 (from schnapsen==0.0.2)\n", | |
| " Downloading Flask-2.2.2-py3-none-any.whl (101 kB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.5/101.5 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hCollecting scikit-learn==1.2.0 (from schnapsen==0.0.2)\n", | |
| " Downloading scikit_learn-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.5/9.5 MB\u001b[0m \u001b[31m57.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hCollecting joblib==1.1.1 (from schnapsen==0.0.2)\n", | |
| " Downloading joblib-1.1.1-py2.py3-none-any.whl (309 kB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m309.8/309.8 kB\u001b[0m \u001b[31m27.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hCollecting Werkzeug==2.2.2 (from schnapsen==0.0.2)\n", | |
| " Downloading Werkzeug-2.2.2-py3-none-any.whl (232 kB)\n", | |
| "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.7/232.7 kB\u001b[0m \u001b[31m23.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
| "\u001b[?25hRequirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from flask==2.2.2->schnapsen==0.0.2) (3.1.2)\n", | |
| "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from flask==2.2.2->schnapsen==0.0.2) (2.1.2)\n", | |
| "Requirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.0->schnapsen==0.0.2) (1.23.5)\n", | |
| "Requirement already satisfied: scipy>=1.3.2 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.0->schnapsen==0.0.2) (1.11.3)\n", | |
| "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn==1.2.0->schnapsen==0.0.2) (3.2.0)\n", | |
| "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from Werkzeug==2.2.2->schnapsen==0.0.2) (2.1.3)\n", | |
| "Building wheels for collected packages: schnapsen\n", | |
| " Building editable for schnapsen (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", | |
| " Created wheel for schnapsen: filename=schnapsen-0.0.2-0.editable-py3-none-any.whl size=16184 sha256=4ba6fb4a0b2f2902fbea87c392318ebc7833f26d2a00edfd5f5b1f0821ec0584\n", | |
| " Stored in directory: /tmp/pip-ephem-wheel-cache-7ebpdspb/wheels/da/6c/00/571695754102aa9379b491cead8d80ec69619f0fcd1dea6134\n", | |
| "Successfully built schnapsen\n", | |
| "Installing collected packages: Werkzeug, joblib, click, class-resolver, scikit-learn, flask, schnapsen\n", | |
| " Attempting uninstall: Werkzeug\n", | |
| " Found existing installation: Werkzeug 3.0.1\n", | |
| " Uninstalling Werkzeug-3.0.1:\n", | |
| " Successfully uninstalled Werkzeug-3.0.1\n", | |
| " Attempting uninstall: joblib\n", | |
| " Found existing installation: joblib 1.3.2\n", | |
| " Uninstalling joblib-1.3.2:\n", | |
| " Successfully uninstalled joblib-1.3.2\n", | |
| " Attempting uninstall: click\n", | |
| " Found existing installation: click 8.1.7\n", | |
| " Uninstalling click-8.1.7:\n", | |
| " Successfully uninstalled click-8.1.7\n", | |
| " Attempting uninstall: scikit-learn\n", | |
| " Found existing installation: scikit-learn 1.2.2\n", | |
| " Uninstalling scikit-learn-1.2.2:\n", | |
| " Successfully uninstalled scikit-learn-1.2.2\n", | |
| " Attempting uninstall: flask\n", | |
| " Found existing installation: Flask 2.2.5\n", | |
| " Uninstalling Flask-2.2.5:\n", | |
| " Successfully uninstalled Flask-2.2.5\n", | |
| "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", | |
| "lida 0.0.10 requires fastapi, which is not installed.\n", | |
| "lida 0.0.10 requires kaleido, which is not installed.\n", | |
| "lida 0.0.10 requires python-multipart, which is not installed.\n", | |
| "lida 0.0.10 requires uvicorn, which is not installed.\n", | |
| "bigframes 0.10.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.2.0 which is incompatible.\u001b[0m\u001b[31m\n", | |
| "\u001b[0mSuccessfully installed Werkzeug-2.2.2 class-resolver-0.4.2 click-8.0.1 flask-2.2.2 joblib-1.1.1 schnapsen-0.0.2 scikit-learn-1.2.0\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## **Be sure to Restart runtime!!!! Otherwise the machine doesn't know that the schnapsen package is installed.**\n", | |
| "\n", | |
| "" | |
| ], | |
| "metadata": { | |
| "id": "xSGbjF7rMuyv" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "Below is an example code. You can see that the schnapsen package has been installed and we can import it." | |
| ], | |
| "metadata": { | |
| "id": "eaderi2wNgQu" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "from schnapsen.bots import RandBot, RdeepBot\n", | |
| "from schnapsen.game import SchnapsenGamePlayEngine\n", | |
| "import random\n", | |
| "\n", | |
| "\n", | |
| "engine = SchnapsenGamePlayEngine()\n", | |
| "# choose the players\n", | |
| "bot1 = RandBot(seed=random.randint(0, 100))\n", | |
| "bot2 = RdeepBot(16, 4, random.Random(43))\n", | |
| "winner_id, game_points, score = engine.play_game(\n", | |
| " bot1, bot2, random.Random(random.randint(0, 100))\n", | |
| ")\n", | |
| "print(f\"Game ended. Winner is {winner_id} with {game_points} points and {score}\")" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "Yf4iGlSmLOMi", | |
| "outputId": "3f6e70a6-5253-4dff-d1f9-bbe4db41044d" | |
| }, | |
| "execution_count": 1, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Game ended. Winner is <schnapsen.bots.rdeep.RdeepBot object at 0x7d964fb5a0b0> with 3 points and Score(direct_points=90, pending_points=0)\n" | |
| ] | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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