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ciaranchen/gol.ipynb

Created June 27, 2021 06:51
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gol.ipynb
{
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
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"name": "python3",
"display_name": "Python 3.9.1 64-bit ('venv': venv)",
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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from enum import IntEnum\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.animation as animation\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"class State(IntEnum):\n",
" on = 1\n",
" off = 0\n",
"\n",
"def random_initial(length = 500, height = 400):\n",
" np.random.seed(415)\n",
" return np.random.choice([State.off, State.on], size=(length, height), p=[0.8, 0.2])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"def neighbor(data, row, col):\n",
" row_size, col_size = data.shape\n",
" up = (row - 1) % row_size\n",
" down = (row + 1) % row_size\n",
" right = (col + 1) % col_size\n",
" left = (col - 1) % col_size\n",
" return (data[up, left] + data[up, col] + data[up, left] +\n",
" data[row, left] + data[row, right] + \n",
" data[down, right] + data[down, col] + data[down, left])"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"def gol(data, epochs, save_name):\n",
" update_interval = 50\n",
" fig, ax = plt.subplots()\n",
" ax.set_xticks([])\n",
" ax.set_yticks([])\n",
" img = ax.imshow(data, cmap='autumn', interpolation='nearest')\n",
" ani = animation.FuncAnimation(fig, update, fargs=(img, plt, data),\n",
" frames=epochs,\n",
" interval=update_interval,\n",
" save_count=50)\n",
" if save_name:\n",
" ani.save(save_name, fps=30)\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"NUM = 0\n",
"\n",
"def update(frame_num, img, plt, initial):\n",
" global NUM\n",
" NUM += 1\n",
" plt.title(f'{NUM} generation')\n",
" data = initial.copy()\n",
" rows, cols = data.shape\n",
" for row in range(rows):\n",
" for col in range(cols):\n",
" n = neighbor(initial, row, col)\n",
" if initial[row, col] == State.on: # alive\n",
" if n < 2 or n > 3: # 超量或过量则死\n",
" data[row, col] = State.off\n",
" else: # dead\n",
" if n == 3: # 繁殖\n",
" data[row, col] = State.on\n",
" img.set_data(data)\n",
" initial[:] = data[:]\n",
" return img"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"MovieWriter ffmpeg unavailable; using Pillow instead.\n"
]
},
{
"output_type": "display_data",
"data": {
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},
"metadata": {}
}
],
"source": [
"data = random_initial(50, 40)\n",
"gol(data, 30, 'gol.gif')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
]
}
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