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73 lines
1.6 KiB
73 lines
1.6 KiB
{
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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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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"import os, sys, copy, argparse\n",
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"import json\n",
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"import sumolib, traci\n",
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"from tqdm import tqdm\n",
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"from datetime import datetime\n",
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"path_root = os.path.dirname(os.path.dirname(os.path.abspath('.')))\n",
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"path_scr = os.path.join(path_root, 'scripts')\n",
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"sys.path.append(path_scr)\n",
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"from preprocess_daily import DailyPreprocessor\n",
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"from generate_signals import SignalGenerator"
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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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"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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"1. 데이터를 로드합니다.\n"
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]
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}
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],
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"source": [
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"self = DailyPreprocessor(config_name='test_0721')\n",
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"self.main()"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"self = SignalGenerator(config_name='test_0721', month=7, day=22, hour=9, minute=25, second=0)\n",
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"self.main()"
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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": "siggen",
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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": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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