111 lines
54 KiB
Plaintext
111 lines
54 KiB
Plaintext
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{
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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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"id": "filled-multiple",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The root path: /Users/xuanyidong/Desktop/AutoDL-Projects\n",
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"The library path: /Users/xuanyidong/Desktop/AutoDL-Projects/lib\n"
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]
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}
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],
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"source": [
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"import os, sys\n",
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"import torch\n",
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"from pathlib import Path\n",
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"import numpy as np\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"\n",
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"__file__ = os.path.dirname(os.path.realpath(\"__file__\"))\n",
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"root_dir = (Path(__file__).parent / \"..\").resolve()\n",
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"lib_dir = (root_dir / \"lib\").resolve()\n",
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"print(\"The root path: {:}\".format(root_dir))\n",
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"print(\"The library path: {:}\".format(lib_dir))\n",
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"assert lib_dir.exists(), \"{:} does not exist\".format(lib_dir)\n",
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"if str(lib_dir) not in sys.path:\n",
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" sys.path.insert(0, str(lib_dir))\n",
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"\n",
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"from datasets import ComposedSinFunc"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "consistent-transition",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ComposedSinFunc(QuadraticFunc(-12.00009536743164 * x^2 + 12.000093460083008 * x + 0.9998981952667236) * sin(QuarticFunc(6.998945236206055 * x^4 + -14.143538475036621 * x^3 + -16.54721450805664 * x^2 + 52.29801940917969 * x + 52.29801940917969)))\n"
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]
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1440x576 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"def visualize_q_func():\n",
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"\n",
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" dpi, width, height = 10, 200, 80\n",
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" figsize = width / float(dpi), height / float(dpi)\n",
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" LabelSize, LegendFontsize, font_gap = 40, 40, 5\n",
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" \n",
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" fig = plt.figure(figsize=figsize)\n",
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" \n",
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" func = ComposedSinFunc()\n",
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" print(func)\n",
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" xaxis, yaxis = [], []\n",
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" timestamps = np.arange(0, 1.0, 0.01)\n",
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" for idx, position in enumerate(timestamps):\n",
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" xaxis.append(position)\n",
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" yaxis.append(func(position))\n",
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"\n",
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" cur_ax = fig.add_subplot(1, 1, 1)\n",
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" cur_ax.plot(xaxis, yaxis, color=\"k\", linestyle=\"-\", alpha=0.6, label=None)\n",
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"\n",
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"visualize_q_func()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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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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"version": "3.8.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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