01-getting-started.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43eb83a8-fe4d-4146-842b-2f93e81ba8f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pyboy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9d11a386-4893-4f8a-b883-8277aa78c055",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "UserWarning: Using SDL2 binaries from pysdl2-dll 2.30.0\n"
     ]
    }
   ],
   "source": [
    "from pyboy import PyBoy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "071e9172-2ecc-48ce-8802-fc2bb707cc8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "pyboy = PyBoy(\"Tetris.gb\", game_wrapper=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "57d920c9-ba33-400e-a441-da650162ea82",
   "metadata": {},
   "outputs": [],
   "source": [
    "while not pyboy.tick():\n",
    "    pass\n",
    "pyboy.stop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0f8b003-9067-4217-9342-1b3cfea6cd8f",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(600):\n",
    "    pyboy.tick()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8e4a6e9e-a2f8-47b7-8ebf-c4fb672195f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "tetris = pyboy.game_wrapper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1878968b-c207-4ed2-affc-9e6860e6080c",
   "metadata": {},
   "outputs": [],
   "source": [
    "tetris.start_game()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4b406b32-404d-4de5-9fc7-2c1933c10152",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=160x144>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyboy.screen_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b268eb59-e319-4380-ac42-1a385a911c12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47, 138, 139, 139, 143,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47],\n",
       "       [ 47,  47,  47,  47,  47,  47,  47,  47,  47,  47]], dtype=uint32)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tetris.game_area().base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0f357eaa-8ebb-4fdc-87ae-09f0f316ab4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def play_one_second():\n",
    "    for i in range(60):\n",
    "        pyboy.tick()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "11b14b2f-d1b8-495d-a6ee-cb9f4e21037b",
   "metadata": {},
   "outputs": [],
   "source": [
    "play_one_second()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "961165d1-7d8a-45fb-b4d1-ea7dc3de14b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyboy import WindowEvent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "de1dadf3-bb85-4cae-b6e3-c7247be631b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "pyboy.send_input(WindowEvent.PRESS_ARROW_LEFT)\n",
    "pyboy.tick()\n",
    "pyboy.send_input(WindowEvent.RELEASE_ARROW_LEFT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "365fd0ee-85ce-4011-b901-9ae9565445dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "play_one_second()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "2d54d3fb-d7a8-4b89-bf0c-ec4686bda548",
   "metadata": {},
   "outputs": [],
   "source": [
    "tetris.reset_game(timer_div=0x01)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}