58 lines
26 KiB
Text
58 lines
26 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 500x300 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"from gamma import get_random_gamma\n",
|
|
"\n",
|
|
"\n",
|
|
"all = np.array([])\n",
|
|
"for i in range(100000):\n",
|
|
" img = np.power(np.linspace(0, 1, 256), get_random_gamma()) / 128\n",
|
|
" all = np.append(all, np.sum(img))\n",
|
|
"\n",
|
|
"hist, bin_edges = np.histogram(all, bins=100)\n",
|
|
"plt.figure(figsize=(5, 3))\n",
|
|
"plt.plot(bin_edges[1:], list(hist))\n",
|
|
"plt.grid(True)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "bipolaroid",
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"language": "python",
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"name": "python3"
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},
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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}
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