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240 lines
9.6 KiB
240 lines
9.6 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, json, pickle\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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"source": [
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"self = DailyPreprocessor(config_name='test_0731',\n",
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" file_net = 'new_sungnam_network_internal_target_0721.net.xml')"
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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": 3,
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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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"1-1. 네트워크가 로드되었습니다.\n"
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]
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}
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],
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"source": [
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"# 1-1. 네트워크 불러오기\n",
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"self.load_networks()"
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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": 4,
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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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"1-2. 테이블들이 로드되었습니다.\n"
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]
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}
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],
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"source": [
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"# 1-2. 테이블 불러오기\n",
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"self.load_tables()"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# self.angle"
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"# angle_A = self.angle[self.angle.ring_type=='A']\n",
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"# angle_B = self.angle[self.angle.ring_type=='B']\n",
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"# isa2move_A = dict(zip(zip(angle_A.inter_no, angle_A.STOS_NO, angle_A.phase_no), angle_A.move_no))\n",
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"# isa2move_B = dict(zip(zip(angle_B.inter_no, angle_B.STOS_NO, angle_B.phase_no), angle_B.move_no))\n",
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"# isa2move = {'A':isa2move_A, 'B':isa2move_B}\n",
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"# isa2move"
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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": 7,
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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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"1-5. 테이블을 표준화했습니다.\n"
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]
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}
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],
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"source": [
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"# 1-5. 테이블 표준화\n",
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"self.standardize()"
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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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"self.parent_ids = sorted(self.inter_node[self.inter_node.inter_type=='parent'].node_id.unique())\n",
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"self.child_ids = sorted(self.inter_node[self.inter_node.inter_type=='child'].node_id.unique())\n",
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"self.uturn_ids = sorted(self.uturn.child_id.unique())\n",
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"self.coord_ids = sorted(self.coord.child_id.unique())\n",
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"self.node_ids = self.parent_ids + self.child_id"
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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": 10,
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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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"1-6. 주요 객체 (리스트, 딕셔너리)들을 저장했습니다.\n"
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]
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}
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],
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"source": [
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"# 1-6. 주요 객체 (리스트, 딕셔너리) 저장\n",
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"self.store_objects()"
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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": 11,
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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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"2-1. 매칭 테이블들을 생성했습니다.\n",
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"2-2. 초기화 신호가 지정되었습니다. (우회전 : g)\n",
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"2-3. 유턴 인덱스 / 비보호좌회전 인덱스를 지정했습니다.\n",
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"2-4. 직진 및 좌회전(G)을 배정했습니다.\n",
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"2-5. node2num_cycles.json를 저장했습니다.\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519797' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519796' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519799' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519798' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519801' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519800' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519873' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519874' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '516929' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '517055' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519834' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n",
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"c:\\github\\siggen\\scripts\\preprocess_daily.py:741: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '519833' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
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" cmatch.loc[right_flag, ['inc_edge_id', 'out_edge_id']] = [inc_edge_id, out_edge_id]\n"
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]
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}
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],
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"source": [
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"# 2. 중간산출물 만들기\n",
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"# 2-1 매칭테이블 생성\n",
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"self.get_matches()\n",
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"# 2-2 신호 초기화\n",
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"self.initialize_state()\n",
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"# 2-3 유턴 인덱스 / 비보호좌회전 인덱스 지정\n",
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"self.assign_indices()\n",
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"# 2-4 신호배정\n",
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"self.assign_signals()\n",
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"# 2-5 기반파일 저장\n",
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"self.save_intermediates()"
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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": 12,
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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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"3. 이슈사항을 저장합니다.\n"
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]
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}
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],
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"source": [
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"self.write_issues()"
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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_env",
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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": "3.12.4"
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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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