wehub-resource-sync
92 lines
1.8 KiB
Plaintext
92 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "7fb27b941602401d91542211134fc71a",
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"metadata": {},
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"source": [
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"# Sample Notebook\n",
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"This is a markdown cell."
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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": null,
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"id": "acae54e37e7d407bbb7b55eff062a284",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install pandas\n",
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"!ls -la\n",
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"import os\n",
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"from pathlib import Path\n"
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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": null,
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"id": "9a63283cbaf04dbcab1f6479b197f3a8",
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"metadata": {},
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"outputs": [],
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"source": [
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"import math\n",
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"\n",
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"def add(x, y):\n",
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" return x + y\n",
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"\n",
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"def multiply(a, b):\n",
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" return a * b\n"
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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": null,
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"id": "8dd0d8092fe74a7c96281538738b07e2",
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"metadata": {},
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"outputs": [],
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"source": [
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"class DataProcessor:\n",
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" def __init__(self, name):\n",
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" self.name = name\n",
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"\n",
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" def process(self, data):\n",
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" result = add(data, 1)\n",
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" return multiply(result, 2)\n"
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]
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},
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{
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"cell_type": "raw",
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"id": "72eea5119410473aa328ad9291626812",
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"metadata": {},
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"source": [
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"This raw cell should be skipped."
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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": null,
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"id": "8edb47106e1a46a883d545849b8ab81b",
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"metadata": {},
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"outputs": [],
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"source": [
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"processor = DataProcessor('test')\n",
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"output = processor.process(5)\n",
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"print(output)\n"
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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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"name": "python",
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"version": "3.11.0"
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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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