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신호생성 repo (24. 1. 5 ~).
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24 Commits
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${ item.name }
Create branch ${ searchTerm }
from 'd65e9287e1'
${ noResults }
siggen/Data/tables/0110_view_tables.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['0110_view_tables.ipynb',\n",
" 'angle.csv',\n",
" 'child_coord.csv',\n",
" 'child_uturn.csv',\n",
" 'histids',\n",
" 'history.csv',\n",
" 'inter_info.csv',\n",
" 'inter_node.csv',\n",
" 'movements',\n",
" 'moves',\n",
" 'nema.csv',\n",
" 'phase_info.csv',\n",
" 'plan.csv',\n",
" 'pland.csv',\n",
" 'raw_tables']"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"import os\n",
"os.listdir()"
]
},
{
"attachments": {
"image-2.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image-2.png](attachment:image-2.png)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>inter_name</th>\n",
" <th>inter_lat</th>\n",
" <th>inter_lon</th>\n",
" <th>group_no</th>\n",
" <th>main_phase_no</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>한솔삼거리(한솔마을3거리)</td>\n",
" <td>37.36857</td>\n",
" <td>127.11478</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>176</td>\n",
" <td>느티마을4단지</td>\n",
" <td>37.36724</td>\n",
" <td>127.11480</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>177</td>\n",
" <td>한솔6단지(정자동사무소)</td>\n",
" <td>37.36619</td>\n",
" <td>127.11480</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>178</td>\n",
" <td>신기4거리</td>\n",
" <td>37.36346</td>\n",
" <td>127.11480</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201</td>\n",
" <td>느티마을4거리</td>\n",
" <td>37.36854</td>\n",
" <td>127.10984</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202</td>\n",
" <td>느티마을 안촌유치원</td>\n",
" <td>37.36855</td>\n",
" <td>127.11241</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>206</td>\n",
" <td>상록마을 321동</td>\n",
" <td>37.36483</td>\n",
" <td>127.10981</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>210</td>\n",
" <td>상록4거리(상록마을입구4거리)</td>\n",
" <td>37.36347</td>\n",
" <td>127.10982</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no inter_name inter_lat inter_lon group_no main_phase_no\n",
"0 175 한솔삼거리(한솔마을3거리) 37.36857 127.11478 3 2\n",
"1 176 느티마을4단지 37.36724 127.11480 3 2\n",
"2 177 한솔6단지(정자동사무소) 37.36619 127.11480 3 2\n",
"3 178 신기4거리 37.36346 127.11480 3 2\n",
"4 201 느티마을4거리 37.36854 127.10984 3 2\n",
"5 202 느티마을 안촌유치원 37.36855 127.11241 3 2\n",
"6 206 상록마을 321동 37.36483 127.10981 3 2\n",
"7 210 상록4거리(상록마을입구4거리) 37.36347 127.10982 3 2"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 교차로정보\n",
"pd.read_csv('inter_info.csv',index_col=0)"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
" <th>inter_no</th>\n",
" <th>main_phase</th>\n",
" <th>mg1A</th>\n",
" <th>mg1B</th>\n",
" <th>mg2A</th>\n",
" <th>mg2B</th>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>31</td>\n",
" <td>31</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>19</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>13</td>\n",
" <td>21</td>\n",
" <td>37</td>\n",
" <td>12</td>\n",
" <td>22</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>8 rows × 50 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no main_phase mg1A mg1B mg2A mg2B mg3A mg3B mg4A mg4B ... \\\n",
"0 175 2 24 27 33 12 15 39 15 19 ... \n",
"1 176 2 21 31 33 30 16 0 0 0 ... \n",
"2 177 2 35 18 36 36 0 0 38 13 ... \n",
"3 178 2 18 19 35 26 36 29 17 37 ... \n",
"4 201 2 25 20 21 32 31 28 31 17 ... \n",
"5 202 2 12 30 0 0 0 0 0 0 ... \n",
"6 206 2 36 29 0 0 31 31 0 0 ... \n",
"7 210 2 19 0 12 13 21 37 12 22 ... \n",
"\n",
" y4A y4B y5A y5B y6A y6B y7A y7B y8A y8B \n",
"0 4 4 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 0 \n",
"2 4 4 0 0 0 0 0 0 0 0 \n",
"3 4 4 0 0 0 0 0 0 0 0 \n",
"4 4 4 4 4 0 0 0 0 0 0 \n",
"5 0 0 0 0 0 0 0 0 0 0 \n",
"6 0 0 0 0 0 0 0 0 0 0 \n",
"7 4 4 0 0 0 0 0 0 0 0 \n",
"\n",
"[8 rows x 50 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 현시구성\n",
"pd.read_csv('phase_info.csv',index_col=0)"
]
},
{
"attachments": {
"image.png": {
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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>angle_A1</th>\n",
" <th>angle_A2</th>\n",
" <th>angle_A3</th>\n",
" <th>angle_A4</th>\n",
" <th>angle_A5</th>\n",
" <th>angle_A6</th>\n",
" <th>angle_A7</th>\n",
" <th>angle_A8</th>\n",
" <th>angle_B1</th>\n",
" <th>angle_B2</th>\n",
" <th>angle_B3</th>\n",
" <th>angle_B4</th>\n",
" <th>angle_B5</th>\n",
" <th>angle_B6</th>\n",
" <th>angle_B7</th>\n",
" <th>angle_B8</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>179004</td>\n",
" <td>001095</td>\n",
" <td>090270</td>\n",
" <td>268000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>003176</td>\n",
" <td>179270</td>\n",
" <td>090180</td>\n",
" <td>270090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>176</td>\n",
" <td>180000</td>\n",
" <td>180000</td>\n",
" <td>270356</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>359180</td>\n",
" <td>180270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>177</td>\n",
" <td>180000</td>\n",
" <td>000090</td>\n",
" <td>stop</td>\n",
" <td>268000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>001176</td>\n",
" <td>179270</td>\n",
" <td>NaN</td>\n",
" <td>090180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>178</td>\n",
" <td>180000</td>\n",
" <td>000090</td>\n",
" <td>270000</td>\n",
" <td>090270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>000180</td>\n",
" <td>180270</td>\n",
" <td>270090</td>\n",
" <td>090180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>201</td>\n",
" <td>180000</td>\n",
" <td>270000</td>\n",
" <td>090270</td>\n",
" <td>090270</td>\n",
" <td>000090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>180270</td>\n",
" <td>270090</td>\n",
" <td>270090</td>\n",
" <td>090180</td>\n",
" <td>000180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>202</td>\n",
" <td>090270</td>\n",
" <td>stop</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>270090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>206</td>\n",
" <td>180000</td>\n",
" <td>stop</td>\n",
" <td>180000</td>\n",
" <td>stop</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>000180</td>\n",
" <td>NaN</td>\n",
" <td>000180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>210</td>\n",
" <td>090270</td>\n",
" <td>268000</td>\n",
" <td>359090</td>\n",
" <td>180000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>270090</td>\n",
" <td>000180</td>\n",
" <td>180270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no angle_A1 angle_A2 angle_A3 angle_A4 angle_A5 angle_A6 angle_A7 \\\n",
"0 175 179004 001095 090270 268000 NaN NaN NaN \n",
"1 176 180000 180000 270356 NaN NaN NaN NaN \n",
"2 177 180000 000090 stop 268000 NaN NaN NaN \n",
"3 178 180000 000090 270000 090270 NaN NaN NaN \n",
"4 201 180000 270000 090270 090270 000090 NaN NaN \n",
"5 202 090270 stop NaN NaN NaN NaN NaN \n",
"6 206 180000 stop 180000 stop NaN NaN NaN \n",
"7 210 090270 268000 359090 180000 NaN NaN NaN \n",
"\n",
" angle_A8 angle_B1 angle_B2 angle_B3 angle_B4 angle_B5 angle_B6 angle_B7 \\\n",
"0 NaN 003176 179270 090180 270090 NaN NaN NaN \n",
"1 NaN 359180 180270 NaN NaN NaN NaN NaN \n",
"2 NaN 001176 179270 NaN 090180 NaN NaN NaN \n",
"3 NaN 000180 180270 270090 090180 NaN NaN NaN \n",
"4 NaN 180270 270090 270090 090180 000180 NaN NaN \n",
"5 NaN 270090 NaN NaN NaN NaN NaN NaN \n",
"6 NaN 000180 NaN 000180 NaN NaN NaN NaN \n",
"7 NaN NaN 270090 000180 180270 NaN NaN NaN \n",
"\n",
" angle_B8 \n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"5 NaN \n",
"6 NaN \n",
"7 NaN "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 방위각정보\n",
"pd.read_csv('angle.csv', index_col=0, dtype=str)"
]
},
{
"attachments": {
"image.png": {
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mWCJJA+cW+QSdxQ6HewETHZyU7prFbsWz1ZRauY+JY8DWt6QUJwyIrDGojTxYmbtwhBBC7jLNV9SF+Bh2TSDlgZLRn6TjhDcmQ7spce+kFPIRWphhrUNB6riff4XxVEWWrro/yOhfdjAWuKDloxYwuxGGd93M8nYtZPQHBuzzHnrnNozBlneXwlCouuPv12M5rylU1gkh5KDYoaIePx5RtwFbL/sjQEH4iNgDlfdd+r7FPzy04o8PaaNECMuW7kvixBJzgxjoZBiB29tUO2s4s5C4X2BkTo3BDuKgN4DcxwA6uuPE/7VTGNN0KJrbU2DCQm7ItXYGCzbsqYHTSqHZi7bNiWkvJDAUprWfarMui0TzKuF9hBBC9p0dKupFvwy6qR8BOrT7HjChd1SPJBBqozkcI24YPTvdXDvL/Qk8axa5X5iHcIfO2dNGDlrTZCq1htHihJuoQQ6nRA5GkJSrJhMrRcTivDPaNplMWnDs5u24aZxCrGHkWVDt/QjvI4QQsj7SbDab37t3b9dybAZ/iLZyjcFGFF4fw3aQiJiHsYc/UCJJEubz+a7FIFuEfV6dfWyzfZSZEEIOFUmS7riiTlaCi/mC4IdmRL8xu48GWB7s8+rsY5vto8yEEHKoSJKEV3YtBCHNJQhXGu1aDEIIIYQcJHt66gshhBBCCCF3GyrqhBBCCCGENBAq6oQQQgghhDQQKuqEEEIIIYQ0kFeAIKuUkCgcE4cH+7w6+9hm+ygzIYQcKq8A4HFdJAaPcDs82OfV2cc220eZCSHkUJEkiaEvhBBCCCGENBEq6oQQQgghhDQQKuqEEEIIIYQ0kL1V1P1hG1LPzb7A7UFqD+FX/a6IXZUlhBBCCCEHRSMVdX/YhiRJ6c+2lNwVFGp/2EZ76Cf/ibbUQ445kSUAeiuVIwvcnpTuD0IIIYSQPWIHirqPYTtf6Zb7E8zn8/jHMcrVu1DqdRuYmlAiin4zFbeE3JIESdJhw4aeMlbumvJePBZIc3B7wTgUbWQld7jyDCW3J8WuXRjmeRtkgdEbr1Nk0CfvKTT6I+Nt8Ux5dRBCCCG7YvuKun+FMVSo0zGual0PZfQn87SCH/lM+nKdN6yJYrmXnxG0XYtbJxsbC2RTqIaB2fkGDCtVza3XvTAxFX1hOMv3w7MAU0kr/NFr5nPMJ33Imd87aInqIIQQQnbA1hV1/2oMdC4xMKYYZ2hnQi+Ybpe9Q8pDvfCQ3XrPytQ1vYZX8o63RUwlLrNiYhr1jBfcNyvk5656+MqMBdIwjs8waJno1j0mWx10kGGw+UOczyxYRZtqch8DA5jdrCObhjNLhf2MmjohhJDds2VF3cWFCXROZGinBqbjq0wPmmp5aY9y0hOWwsewrWDciZb10BkraA99aKNyYTT+zQzADFXX+5TMngUVBpzC8J3AuFDGHXgpL3og/90LDyk/FuIEbdUe+nHDJqN98q9JGnXJ0CIXvYjBFPWyxo2qNsrorYtwkCK5UwZbw9y72pkFmBc1h2Ed4aQDmBfpWgOD7gRHtd4vG+9a6LsnhBBCts52FXX3GWy1gxMZgHYKY2pCsC6vjn+F8dTAIBbiIqM/qKIIBgqkYWCLXl4P11MDjtAQkdGfODBW8PA3mjXHwtRU0MXlrUHjtEwoCaU3fo0HCyaUWGz0BXC5NIocw4Z++72LnqQDzvL705ugfn/YjhtVTgumUi5/QCRTNxF3rZitpXE392DN9GYp63Ifl9YM5zV71eX+AIZ9njB6XFyYrcQ7nYHbg24n3/+K+EOc2yqsszsVZEYIIWRP2aqi7j6zoXZOQmVUw6mBzC3mVBhJmYRK+QQd1U4oED6G58F9vRKhL/7wHLYxwGg0QKui11Ac+lIGBceqDV3oFfYxbOuw1WMoFWRpOlXGghDDieUcaCMHRjLWPXaNjJOOCsxubttY7o8Q1em0UyP2PaDiONLoWr8POTTkrMuIUaWdwVJtlBJfINPSiAzr9qK5CDL6lxbUlAK7W+T+AC2zW7NMGk4TYVDB+3ianZth67HwOMMR5HFErxHtUES/7wKX8wkamc5CCCHk4Nieoh56qjonEeUq0M5SyrDw1JdSCZUy+pMwVOR2YQ5CYSZ9uTj0xR+ia7bgjDQAGkYOIh7WfLJlLpMAGiSUep1x7JSaqPzFYT97RIWxkIV6nDRbFByrU1x72dfIRy2BKO2YordEw5kFmEpCsfNvMMM0+H+kj8xpudjoXJn8G8zQwlGyo+UTdBLPtns0jJyWMFRlrVpjYTU+rsbI927HEkE9HJ8LFPFkMulIE3/vWVDr3uUjhBBC1mBrirp/NcY0qeDoNoCkBzxWSnB0YRATfHUySS+4AESnqJQ77cVFTzHRinrktBEcbC/sYKnsOzAise3NPK1mdVYbC0V4qBZaHMSfK9eDzCNAF/3hQE94YiN5B40/VWiDaGewZmJPv3KsYppjWaQNrZBwV+yZC8C9gIkwPKoUi92H8gZfvHgfE8eArd+1Y1AJIYTsK1tS1H1cjafCBFHPUsXx4/4QbUnB9UDkpR7gWsk5DaXyDxYF4SVw5kjq/tooUNTKnbwSGBZNCiduHiuMhVLV3mAGA6dlQ4vdZ7BhhLsniypmwku1Uehttc8xxBFaKyQal0LOqNu/wngaD8NpBjL6lx2MBS5o+aiVCCNa4ONmBrRS2waROgcG7PMeeuc2jMGWd5LCMKa64+8JIYSQVdiOoi5M8gyQTzrCc7T9qzGmhpNSnAM0jJwqCaLJ4qNEKEnghRffK1DUavGWpu4bP1Wk+AeP7sCPHq0wFkRMY2dd+xh2TUzzYpmTKMdQo0qxP0TXjLrkXQxTyloLR3IQR51MHnV7dfTLItwmWtfi2QbNjJuW+xhAR3ec+H+YIKwkrFa3p8CEhdxcTe0MFmzY0wqGF4CVxkGKMPm89lNtCCGEkOpsRVF3L3IWT7mPgTFNxbrKJx2otp7hnXbR06PJiPuKhlGpHzq6Oz96tMpYEKFaThCPvIgRbzkZoVAZyH1cLmLQF0mEsdAXDSfoRhKDx+iESZ7aKDwhJmJAPTutp1/k/gSeNYvUHeYoVHm2LaONHLSmybgjDaPFiTWRdtLhlMi3CJJsVeusuE1jiaIZbZVMJi06TjP0qpfNTyGEEEI2hTSbzeb37t3btRwZBOeim6nYYxWWl3Myg9sr8aNGBXVk4fYgnR/DEyobWfLGMQQhNk1CkiTM5/Ndi5HB8qz8g4sJ3yDN7vNmso9tto8yE0LIoSJJUtMVdbILdr+YB2eYi0wtw/FwfN5URT1Pbhpnd419bLN9lJkQQg4VSZK2/cukhJQhOySoycru/spNCCGEkCZCRZ0QQgghhJAGwtAXkoLb44cH+7w6+9hm+ygzIYQcKgx9IYQQQgghpKFQUSeEEEIIIaSBvAIErnVConBMHB7s8+rsY5vto8yEEHKovAKAMYskBuNYDw/2eXX2sc32UWZCCDlUGKNOCCGEEEJIQ6GiTgghhBBCSAOhok4IIYQQQkgD2UtF3R+2IfXc7AvcHqT2EH7V74rYVVlCCCGEEHJwNE5R94dtSJKU/mxLyV1BofaHbbSHfvKfaEs95JgTWQKgt1I5EsXtSek+IYQQQgjZI7amqIsUcJEiJfcnmM/n8Y9jFNWOYTtSt24DUxNKwb12T0JuSYIk6bBhQ08ZK3dLeS87HkhzcHtBP4k2s5K7XHmGktuTYtcuxkLeJllg+MbrLDOGhIZ/xBBfPBPHISGEkCayXY+64SyVb88CTCV/cS6NjP5knlbwI59JX67jRjVTLPfyM4K2a3HrZmPjgWwK1TAwO9/A7paq5tbrXpiYir4oM4ai18znmE/6kDO/d9DiOCSEENIQdhf6IvcxMIDZTQkPmG6XrDTtoV54x249Z2Xqml7Dq/g4U1OJy6yYmEY94wX3zQr5ORjvXsZ4IA3j+AyDlolu3eOy1UEHY1yJqvWHOJ9ZsIo21moZQxrOLBX2M2rqhBBCdk/jYtQBQLW8tEc56QVL4WPYVjDuRMt66IwVtIc+tFG5MBr/ZgZghqprfUpmz4IKA05h+E5gXCjjDryUFz2Qn0moUYL2ag/9uHGT0Ub51yQNu2R4kYtexGiKelnjhlUbZfTWRThIkdwpo61h7l3tzALMi5pDsY5w0gHMi3St/tUY6JzgqNb7ZeNdC333hBBCyNbZnaLu9qDbBgZ1haT4VxhPk/XJ6A8MTMdXJRVdFxcmYBjAWOja2wQerqcGHKEhIqM/cWCs4OHfOyqOh6mpoIvLW6PGaZlQEkpv/BoPFkwosdjoC+ByaRg5hg399nsXPUkHnOX3pzdB/f6wHTesnBZMpVwOgUimbiLuWjFbSwNv7sGa6c1S1uU+Lq0Zzmv2qsv9AQz7PGH0uLgwW+XGRR1zij/Eua3COrtzgWaEEEL2kO0q6rYeC2cxHHHcdSqMpExCpXyCjmonlAcfw3MbaucEXonQF394DtsYYDQaoFXRYygOfSmDgmPVhi70CPsYtnXY6jGUCrLsDSXHgxDDieUdaCMHxjQROhG7RsZJRwVmN7ftLPdHiOp02qkR+x5QcRxpeK3fhxwac9ZlxLDSzmCpNkpFSwhkWhqSYd1etB1k9C8tqCkFdrfI/QFaZrdmmTScGtOYkRy8k6fZ46LMGIpeI9qhiH7fBS7nEzQypYUQQsjBsbtk0rmH4/P0oik89aVUQqWM/iQMFbldlINQmElfLg598Yfomi04Iw2AhpGDiHc1n2yZyyieQUKp1xnHTqmJyl8c9rOnlBgPWajHSdNFwbE6xbWXfY181ErVEwsziRlxGs4swFQSMvk3mGEa/D/ST+a0XGx0rkz+DWZo4SjZ2fIJOoln2z0aRk5LGKqyVq2xsBofV2Pke7fLjKFkMulIE3/vWVCnJmp+JEIIIWRldhijvvAUPsvwXIuOLgziga9OJunFdlFn4hSVcqe9uOgpJlpRb5w2goPthRwslX0HRiS2vZmn1WyCovFQhIdqocVB/LlyPcg8BnTRJw70hCc2knvQ+JOFNoh2Bmsm9vQrxyqmOZZF2tAKCXfGnrkA3AuY6OCkdLOuOYbkPiaOAVu/W0ehEkII2V8amUwanJms4Hog8lIPcK3knIZS+QeLgvASOHMkdX9tFChp5U5eCQyLJoUSHxT+DWYwcFo2dsZ9BhtGuIOyqGImvFQbhd5W+xxDHKG1QrJxKeSMuv0rjKfxMJxmIKN/2cFY4IKWj1qJMKIFPm5mQCu1bRCpc2DAPu+hd27DGGx5NykMY6o7/p4QQghZhR0q6j6GXRNTQfypfzXG1HBSinOAhpFTJUE0WXyUCCUJvPDiewVKWi2e0tR94yeKFP/g0d370aM42eNBxDR21nW1sgAA5RhqVCn2h+iaUZe8i2FKWWvhSA7iqJPJo26vjr5ZhNtE61o826CZcdNyHwPo6I4T/9dOYUzjybsA4PYUmLCQm6upncGCDXtawfACsNI4SBEmoNd+qg0hhBBSnd0lky7irwUasnzSgWrrGd5pFz09SBBtot5SHg2jUj90dId/9KjkeBChWk4Qj7yIEW85pcsCCE8uwTLWvAtcxkJfNJygG0kOHqMTJnlqo/CEmIgR9ey0nr6R+xN41ixSd7V22QXayEFrmow70jBanFgTaScdTomciyDJVrXOitu0zBhKJpMWHacZetXL5qgQQgghm0KazWbze/fu7VoOAcG56GYq7liF5eWcyuD2SvyoUUEdWbg9SOfH8ISKRpa8cQxBiE3TkCQJ8/l812JksDwv/+BiwjdIs/u8mexjm+2jzIQQcqhIktRkRZ3sit0v5sEZ5iJzy3A8HJ83VVHPk7vZBtru+3z/2Mc220eZCSHkUJEkqaHJpOTAyQ4LarKyu79yE0IIIaSJUFEnhBBCCCGkgTD0haTg9vjhwT6vzj622T7KTAghhwpDXwghhBBCCGkoVNQJIYQQQghpIK8AgWudkCgcE4cH+7w6+9hm+ygzIUPWpJ8AABswSURBVIQcKq8AYMwiicE41sODfV6dfWyzfZSZEEIOFcaoE0IIIYQQ0lCoqBNCCCGEENJAqKgTQgghhBDSQBqrqPvDNqSeu1phtwepPYRfr0ibZR9lJoSQA2GdNWmt9YwU4GPYllDUvG4v45o11l5/2EZ7uO+rtqj9ov9z0ZN6WGX03o32yWcbz7gTRd0ftiFJUvpT9mVxe5FybZRvo2DwCe9dKMPqZYUd6Q/RXmnwr/7SEEIISeKilzOv5yqA/hDtVcuSYmJr/RbbN+++jXOouejl6UEr6xplb1+Hk7Hhes0unjEcg8BGFPVQoc15KLk/wXw+j38co1z1bg+SDji35VowlSrKugrLm6fvv/hM+pDFUqM/ySnnWVDLilAakXGgw4YNPTWB7GKQF/c1uTu4vezFMekxdHtSppfB7UmxaxeGexmFKFqnyOBP3lPoFIiM18Uz5dVxp0kqJGU1H7dX0UmyKfKUlPj8mf1oGka3c7kHSwUMZzm3j7Sc28t9TGJl4+tLbtnSFChit9es0I8bJUNugXGT+c5po8g668CAsVz7i9o3MbZ1G7D1kmtm9L6OAagWvEIdoSqC9sk0EOp+16LvhgJzGm+bzQ6fbeg12e9MbM7fmO6y5jNG9FxgE4q6f4UxVKjTMa5qbwEfw3MbhjPC7fupjeBZgHmx6YmpwKOumJjWfs8C4yD2ibTJtthoXx8IexbypBoGZucbkFdVc+t1LzLeL8OJGcswlfQiE71GtNDGvnfQEtVxJ/ExPI84PeYerJlewlAJ5uHdspiPdYgl8TFsKxh3vNu+Pb0pM249XK88kXu4nk5x7a1aPknRM0auHN7gNKrQ2mX6cVMUyO1dYxpVfOdzTPolVF/3GWzYeFb23Ywp+auvmf7NDJheo7ZuzWsfkcyOAagdnNRjHYTk6xb1GJir3Xs9vSZ/7PnDNvTZYux5sGBC2chkv84zpvXc2hV1/2oMdC4xMKYYZ2hvQi+XXmLi968wnho4TfScfNKBaj/bgkd5VW88MDUVgWIfsa4Knj8rXGiX3r8yfU3uGMdnGLRMdOsed60OOsgw+PwhzmcWrKJNN7mPgQHMbtaRTcOZpcIurQ3sMzL6k+giIaM/MDAdX+UqtP6wC7NloOQe6EYIZHBCL2v291EFUOuX8IS6z2AXGI3ZMp2vXFZcX/4zRpH7/Ug/BmN4Wp/FUIlScreOKnqlXfT0GSzLgK1X9LKmvNTVwmWvxlMANs6HPpIOO8WsbtVV6ddbpW1QNHanMJUVnIiptom3beBlzzcUA0NmNWdd3XpNftsGfblsSxn9S6uU7rjdZ/RwPVVxrCz/U7Oi7uLCBDonMrTT/AlftbxKiu6y4DGU5P/kI7RKy5gzoDcYQpJ6Xs+CGt3Gywz9CSYGZdyJeSAWHrDOWNmRR7Z8X8dZJKlEJ7xw4oxtiab7ITXgE6EWye1ef9iOtU28fHSyrkum+AKwCP+IXZMMu9BtYGpCKbFdXVRfmXaqA+3MAsyLmt+TI5x0xDtjgUF4gqNa75eNt7pL9e7jD9E1AevsdKdiyP0J5pluv3BBTnp0br8eop0VkqEDzmRS3Rh1e1DMFpzJBJedcS1euvxnLEY9Tq2UW6FIbv9mll1Y1Df+EG1JB5wJ+v0R5g6gC+biRehGOxkeFw2Vnc8x9zoYlwyXdXvKreIX7LTFPaWeVT3gtVK/uhcwYeFscXnW2M1zImaF5S7G+zz6PDPokTUlCAHLMyhcXJgtOE6rorNuM3rNWu9MZttu+xkVHKvxnbl6FXX3GezFFo12CmNqYuMRKZVIbkekY97yt1qKlPxNxGx6uJ4acIRGjIz+xIFR67ZcSdbsa1vvApeLyQEwu220lWsMwn5wDBt6Io5ZMVupbfqFEqqdGsDsJjLo49azP2zHXxinBVNJeg9WkKmgzqmpoIvLpcxYKgDaKBH/WGKCyauvTDvVgtzHpTULPUx1VjuAYZ8n3qFgkhyU2hrvQbeNctdm4Q9xbquwzrYeSNYI3Gd2jrfTx7BrAtYl1mnizRN6pBA1sgvmZn+ItjJGxwvmf200x+BaKeXZCwzuGaywrNyfwIG+u5C20Jjq1BsrUS+2XsKREDpOusBlNBxDG2E+P8WzRNlFXkF0F8W7nkK1zuJrutwvsQscxPzrMwveSAOgYeRZmOnb3MUu603fHW5PB5wRNG2EwXWVkMFd6DUyTjoq7Nsdr8V8dpYbXrP9Zwx2NmM7R7PZbF4XjoG5anmxv2E4qes8S50DyPgYc2dxTbKsZ83V8Pvc/zvGHKo1j0gyNzLvly9HHWQ/b57Mt6XnlooVvlsdAIXXlO3rNIHM0bKL/okVd4xI+zhzA+rcSj6kZ83V2/8nromNCVH5QI7gnnXJFK1T3Caepcb7K7Pf0xTXV6adxFTv8/i9ku9rcnzkPUe0bLJc4XeJdyo9ZQjevYScse8qvEtl2qxp5MkctFX2vBfv44yxtnUEcoTjXTWWfZn7bLH3OvnVcrwI16R1ypamTFtH17j61q71qCB3qbbJqi8+78a+EfV7cj4UzMHZ61l63sua51Z/nqicZfqyjH6TN/ZF81+0TZ25ISifbqP0mpndPpvWa7LbNromFPXdTp8x0jf1edRDT1TUitdODUAQ/yM89aWMR1s+QUdNJ5P4V2NMjdMcqyia1V81wD//6K4y4TPZz1smUSLYBfA64yA8IvYJk6Vqy0IvSYW+zqJ1lJQ4HpMF5Xi5XeffYIYWUkXkE3Rut4g0nEa8JLEx4d9gltoNCTLdo/HM1WUqrjO5/SwflQ/SEpFbX6l2qgsNI6dVexJ3PKzGx9UY+d7tWCKoh+NzgYcumUya3LlYfO9ZUBu3C7gd3J4U7sRkzEluL9g92myWWa10zpbzoty/hCVYOwCEHlrxc2uj5XgRbquXLLt5omtc2tvcXAJP9aZyzOT+JAjniMVsj9HxJrm7Qtl9p2E0zy9bF8V6TVSmFSMFksmrk0j89iQ7qdTtSdDhJNpIw2juAHqZyIJd6DXBDs1yR3qOS3Qzd752/oxh3wA1hr74V2NMk4qLbmOZhCEslXGSShtXJ6JYI8GWgNuDYhYs5glER7JlB/fHXwLPUlPx5l5wnldFBbwaS2U//hKWypavmdX6evNEY+W962SManLiqqP9NlHnHqGdwZolQ1UClOP8ZLbM+NmoMe5ewESV0w7KJweJi/cxcVZIVttrgjlYh5Mzb4WnvCxyKaRFglk4B+yFQhiQl2ic+fsepfI9mnQO9GaV331jsXY6xiI8poKivekzyLNvnJ9nsYH7ZZ1q1x4qGCXmhroMma3qNWG8/2Wkbrl/CQti58xun9HHsL00BmpS1INBJUoQ9SxVnGjoD9GWFFwPRJ7mAa6VDMVZWySTLBTEGawC6zgq53JRSt93cL3JxMxyv57WfFbo63WRj9DCDKk11r/COJodrZ3CmI5x5bt4ZkdOB8oqvwmZdknZdqrvhuhfdjAWzHLyUSuRM3ArDG5mot2LSJ0DA/Z5D71dxGdqZ7DU3Rqc2+Q2WS7/sHDBUWMOjEUCW9O87Dk7SNnjrmind7XEwVjdTWunpuBdi08lSZ23HjEOI//f5Zoq9yebUSozTrjbCLm6WIFetDNDZos04BnrUdTDQSVK4pJPOsJztoNtHSdja0XDyMk5SSS2XVPFOg7kdDImTG20o8TM4OaJbZCskJusQ/M3d2JNjBX6en00nFlIJGoGiSBTYxDp/zD8pXsOO7ZlGPw/mejp9tZprxrrrG3MlW2nGpH7GEBHd5wUJUgwTp5+4faU+CkGIrQzWLBhV16oFs9aZrs4i/CIwtpPtWkgRYmzVRaowmsDR8Wt8yVxwkLgzc4pX2mxDJPGIjsj/rC7HHeZpztskXUX/1h5F73Ye5Z4DxrVNz6GvajS56Kn28uEz+i9Yz8mlf0RL+dpD3H6B482sBtUk1KXGfYS65t6dIR8XWw9vShtyKwh87ptG65J8cMXujAX68yK80KtzxgjMEqBmhR19yJncQwzrJOxrMHZ53qGNRy+vJ2Ter1p4ba6Lrypj2Fbhy06/nEnrBNXvzlW6es6SMcahjFeidlFOzUwnaZDobRReGpL5OV4drpee9VSZ+jB1WtaNMq2U51oIwetadInpmG0OHEmuljCKRF7GChaqdMaRERPj8h6VltPTIoFk/GiT/Z/+6sEopOswvbxrssbPVWujdy7dN5ExfqT74Ey7sDbdi5PHiu1V1Z5DWfH59nvQaP6Rkb/9DoWQjWzvA14pUv+4Ezd8+K6/XpbzbTE8Zr16Aj5ulhw6kl9etEaMq/dtkF8eSvymza5eTlr3acO3S3YsQRQ76kv1QkzX1MZymueJlBwkkbWKSxlsrdFGb7lMvqznjX/1IpdgD08zYKsB/u8OvvYZlVkrnKixXqnX+y+/rIyZM/z1U7eWPd52DcxCTJPfSlFnr7gWXN1i/26O7L1k9znqdg+a0m4q7bd4jNGbhrrD2k2m83v3bu3ouVA7iKSJGE+n69Rg4texq+ZGc6mf554n9ldu63f54fHPrZZFZndXhs3Z+VCC6tcuwqbrn/brPs87JtmwrbYHIfatpIkgYo6SbGPCghZD/Z5dfaxzfZRZkIIOVQkSar5l0kJIYQQQgghtUBFnRBCCCGEkAZCRZ0QQgghhJAGQkWdEEIIIYSQBvIKEASrExKFY+LwYJ9XZx/bbB9lJoSQQ+UVADwFgMTgyRCHB/u8OvvYZvsoMyGEHCo89YUQQgghhJCGQkWdEEIIIYSQBkJFnRBCCCGEkAbSWEXdH7Yh9dzVCrs9SO0h/HpF2iz7KDMhhBwI66xJa61npAAfw7aEouZ1exnXrLH2+sM22sN9X7VF7Rf9n4ue1MMqo/dutE8+23jGnSjq/rANSZLSn7Ivi9uLlGujfBsFg09470IZVi8r7Eh/iPZKg3/1l4YQQkgSF72ceT1XAfSHaK9alhQTW+u32L55922cQ81FL08PWlnXKHv7OpyMDddrdvGM4RgEalbURQq4yNKQ+xPM5/P4xzHKC68Dzm25FkylirKuwvLm6fsvPpM+ZGE5Gf1JTjnPglpWhNKIjAMdNmzoqQlku4O8bF+Tu4Pby14ckx5Dt5c9HtyeFLt2MZbKKETROsuMQaFTIDLhLp7pYMdxUiEpq/m4vYpOkk2Rp6TE58/sR9Mwup3LPVgqYDjLuX2k5dxe7mMSKxtfX3LLlqZAEbu9ZoV+3CgZcguMm8x3ThtF1lkHBozl2l/UvomxrduArZdcM6P3dQxAteAV6ghVEbRPpoFQ97sWfTcUmNN422x2+GxDr8l+Z2Jz/saMrjWfMaLnApvwqBtOTHmFqdTY6T6G5zYMZ4Tb91MbwbMA82LTE1OBR10xMa39ngXGQewTaZNtsdG+PhD2LORJNQzMzjcgr6rm1uteZLxfZcZg9BrRQhv73kHrYMaxj+F5xOkx92DN9BKGSjAP75bFfKxDLImPYVvBuOPd9u3pTZlx6+F65Yncw/V0imtv1fJJip4xcuXwBqdRhdYu04+bokBu7xrTqOI7n2PSL6H6us9gw8azsu9mTMlffc30b2bA9Bq1dWte+4hkdgxA7eCkHusgJF+3qMfAXO3e6+k1+WPPH7ahzxZjz4MFE8pGJvt1njGt52429EXuY2AAs5sSXi69xMTvX2E8NXCa6Dn5pAPVfrYFj/Kq3nhgaioCxT5iXRU8f1a4UGO8fxl9Te4Yx2cYtEx06x53rQ46GONKHDuG85kFq2jTrZYxqOHMUmGX1gb2GRn9SXSRkNEfGJiOr3IVWn/YhdkyUHIPdCMEMjihlzX7+6gCqPVLeELdZ7ALjMZsmc5XLiuuL/8Zo8j9fqQfgzE8rc9iqEQpuVtHFb3SLnr6DJZlwNYrellTXupq4bJX4ykAG+dDH0mHnWJWt+qq9Out0jYoGrtTmMoKTsRU28TbNvCy5xuKgSGTMXcXULdek9+2QV8u21JG/9IqpTtu9xk9XE9VHCvL/+wsmVS1vEqK7rLgMZTk/+QjtErfOWdAbzCEJPW8ngU1uo2XGfoTTAzKuBPzQCw8YJ2xslce2WWSSnTCCyfO2JZouh9SAz4RapHc7vWH7VjbxMtHJ+u6ZIovAIvwj9g1ybAL3QamJpQS29VF9ZVppzrQzizAvKj5PTnCSUe8M+ZfjYHOCY5qvV823uou1buPP0TXBKyz052KIfcnmGe6/cIFOenRuf16iHZWSIYOOJNJdWPU7UExW3AmE1x2xrV46fKfsRj1OLVSboUiuf2bWXZhUd/4Q7QlHXAm6PdHmDuALpiLF6Eb7WR4XDRUdj7H3OtgXDJc1u0pt4pfsNMW95R6VvWA10r96l7AhIWzxeVZYzfPiZgVlrsY7/Po88ygR9aUIAQsz6BwcWG24DgtjCtpsZvRa9Z6ZzLbdtvPqOBYje/MbVZRd3vQbQODMttaWyG5HZGOecvfailS8jcRs+nhemrAERoxMvoTB0at23IrUrGvbb0LXC4mB8DsttFWrjEI+8ExbOiJOGbFbKW26RdKqHZqALObyKCPW8/+sB1/YZwWTCXpPVhBpoI6p6aCLi6XMmOpAGijRPxjiQkmr74y7VQLch+X1iz0MNVZ7QCGfZ54h4JJstS4qmO+8Yc4t1VYZ1sPJGsE7jM7x9vpY9g1AesSjZnShYQeKUSN7IK52R+irYzR8YL5XxvNMbhWSnn2AoN7BissK/cncKDvzoESGlOdemMl6sXWSzgSQsdJF7iMhmNoI8znp3iWKLvIK4juonjXU6jWWXxNl/sYGNMCpSuI+ddnFryRBkDDyLMw07e5i13Wm7473J4OOCNo2giD6yohg7vQa2ScdFTYtztei/nsLDe8ZvvPGOxsxnaOZrPZvC48S50DiH0Mp9x1y48xdxbXJAt71lwNv8/9v2PMoVpz7/YCZ25k3i9fjk21S+oeKZlvS88tFSt8tzoACq8p29eCknNLxVy1ohIH/RMr7xiR9nHmBtS5lXxIz5qrt/9PXBMbE6LygRzBPeuSKVrnfO4YSI1hz1Lj/ZXZ72mK6yvTTmLK9LljRNsofq/k+xq/Nv85omWT5Qq/KxiDwncvIWfsuwrvUpk2axp5MgdtlT3vxfs4Y6xtHYEc4XhXjWVf5j5b7L1OfrUcL8I1aZ2ypSnT1tE1rr61az0qyF2qbbLqi8+7sW9E/Z6cDwVzsGiuFcngWWrmPLf680TlLNOXZfSbvLEvmv+iberMDUH5dBul18zs9tm0XpPdttE1oajvdvqMkb7ZbDLp3MPxedpiFp76UsajLZ+go6aTSfyrMabGaY5VFM3qrxrgn390V5nwmeznLZMoEewCeJ1xEB4R+4TJUrVloVekRF9n0TpKShyPyYJyvNyu828wQwupIvIJOrdbRBpOI16S2JjwbzBL7YYEme7ReObqMhXXmdx+lo/KB2mJyK2vVDvVhYaR06o9iTseVuPjaox873aZMZhMJk3uXCy+9yyoUxMbz0tvIG5PCndiMuYktxfsHm02y6xWOmfLeVHuX8ISrB0AQg+t+Lm10XK8CLfVS5bdPNE1Lu1tbi6Bp3pTOWZyfxKEc8RitsfoeJPcXaHsvtMwmueXrYtivSYq04qRAsnk1UkkfnuSnVTq9iTocBJtpGE0dwC9TGTBLvSaYIdmuSM9xyW6mTtfO3/GsG+AjceoFwXrZ52k0sbViSjWSLAl4PagmAWLeQLRkWzZwf3xl8Cz1FS8uRec51VRAa/GUtmPv4SlsuW3QvnEjE2hnS4T4bzrZIxqcuKqo/02UeceoZ3BmiVDVQKU4/xktsz42agx7l7ARJXTDtYcg3IfE2eFZLW9JpiDdTg581Z4yssil0JaJJiFhupeKIQBeYnGmb/vUSrfo0nnQG9W+d03FmunYyzCYyoo2ps+gzz7xvl5Fhu4X9apdu2hglFibqjLkNmqXhPG+19G6pb7l7Agds7s9hl9DNtLY2B3v0zqD9GWFFwPRJ7mAa6VDMVZWySThANJn8EqsI4jN40sSun7Dq43mZhZ7tfTiAD5CC3MkFpj/SuMo9nR2imM6RhXvotnduR0oKzym5Bpl5Rtp/puiP5lB2PBLCcftRI5A7fC4GYm2r2I1DkwYJ/30NtFfKZ2Bku1a4+/byq3yXL5h4ULjhpzYCwS2JrmZc/ZQcoed0U7vaslDsbqblo7NQXvWnwqSeq89YhxGPn/LtdUuT/ZjFKZccLdRsjVxQr0op0ZMlukAc+4YUU9CNYXbd8E2zpOxtaKhpGTc0xYbLuminUcDH4nY8LURjtMzNRGiW2QrJCbrEPzN3diTTmy+3p9NJxZSCRqLu43iPR/GP7SPYcdkyP4fzLR0+2t01411lnbmCvbTjUi9zGAju44KcopjGn6jFq3p8RPMRChncGCDbvyQlXHGAyPKKz9VJsGUpQ4W2WBKrw2cFTcOl8SJywE3uyc8pUWyzBpLLIz4g+7y3GXebrDFll38Y+Vd9GLvWeJ96BRfeNj2IsqfS56ur1M+IzeO/ZjUtkf8XKe9hCnf/BoA7tBNSl1mWEvsb6pR0fI18XW04vShswaMq/btuGaFD98oQtzsc6sOC/U+owxAqMU2ISiHs3mXsThCEZAcPa5nmENhy9v56Reb1q4ra4Lb+pj2NZhi45/3AnrxNVviZJ9XQfpWEPx/bRTA9NpOhRKG4WntkRejmen67VXLXWGHly9pkWjbDvViTZy0JomfWIaRosTZ6KLJZwSsYeBopU6rUFEmTFo64lJsWAyXvTJQWx/iU6yCtvHuy5v9FS5NnLv0nkTFetPvgfKuANvV7k8IlZqr6zyGs6Oz7Pfg0b1jYz+6XUshGpmeRvwSpf8wZm658V1+/W2mmmJ4zXr0RHydbHg1JP69KI1ZF67bYP48lbkN21y83LWuk8duluwYwmg3lNfqhNmvqYylNc8TaDgJI2sU1jKZG+LMnzLZfRnPesqJ6dsFuzhaRZkPdjn1dnHNqsic5UTLdY7/WL39ZeVIXuer3byxrrPw76JSZB56ksp8vQFz5qrW+zX3ZGtn+Q+T8X2WUvCXbXtFp8xctNYf0iz2Wx+7969FS0HcheRJOk223g1XPQyfs3McDb988T7zO7abf0+Pzz2sc2qyOz22rg5KxdaWOXaVdh0/dtm3edh3zQTtsXmONS2lSQJVNRJin1UQMh6sM+rs49tto8yE0LIoSJJ0g5PfSGEEEIIIYRkQkWdEEIIIYSQBkJFnRBCCCGEkAZCRZ0QQgghhJAG8goQBKsTEoVj4vBgn1dnH9tsH2UmhJBD5f8DMrZ38EL5/rEAAAAASUVORK5CYII="
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>phas_A</th>\n",
" <th>phas_B</th>\n",
" <th>move_A</th>\n",
" <th>move_B</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>176</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>201</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>202</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>6</td>\n",
" <td>18</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phas_A phas_B move_A move_B\n",
"0 175 1 1 8 4\n",
"0 176 1 1 8 4\n",
"0 177 1 1 8 4\n",
"0 178 1 1 8 4\n",
"0 201 1 1 8 3\n",
"0 202 1 1 6 2\n",
"0 206 1 1 8 4\n",
"0 210 1 1 6 18"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 이동류번호\n",
"pd.read_csv('moves/move_1704380400.csv', index_col=0)"
]
},
{
"attachments": {
"image-2.png": {
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bVEYlZk6oiadgP11BYPf2oeWPS+B534LSh+Xn9wxI1zLma2oi2QrOI/EG3WUPh3cLE13clL40y96K6XZBrWhg5mpw1CMFxZkKRNF3UBkFsAp74YiI6JzVP1DPFcLumcBKC5QIY7aaJ3ywfWjXJe+dShGv0IKPnSYF2cfnhXeYzGUUxarNIcIYdzHJaYIWr1qA/5Cb3vXgr+u1EGEMNDhDHfrQgTY4cu/SIhVq3/n3u3kq1yQG60REF+WEgXp6ekTVARy17I8Axekj+S1Q695b/dzNPzy05Y8PKaNMCsuRPpfSUgNz4xzobBqBpx/qPCvoW8h8XlzJnGuDE+RBH4BoYAAVvUnm70oH2nw1Fc3TJZiwsDblWunDggNnrqFTKTV7eW7X5LRvFFcU5nuf1WZXy4HmVdL7iIio6U4YqG/6ZdBD/QjQpX3uBVu0jqqJAYTKKIKrpStG087hzrNozBBYfuLzFuMQzmiePWXkojXPDqVWMFrOcJOskMMtMQYjHpQrZwdW5knleRec2+xg0g3Tbj5+b2oXECsYBRZkpxnpfUREtDvB9/3o+fPnp96PwwhttKV7DA4S8Iaw2/FAxHW0Bv5AiSAIiKLo1LtBR8RrXl0Tz1kT95mI6FIJgnDmgTpthQ/zpfiHZvJ+Y7aJFbB1eM2ra+I5a+I+ExFdKkEQ8OzUO0FUX3G60ujUu0FEREQXqaGzvhARERERnTcG6kRERERENcRAnYiIiIiohhioExERERHV0DMgHlVKlMTvxOXhNa+uieesiftMRHSpngHgdF2UwincLg+veXVNPGdN3GciokslCAJTX4iIiIiI6oiBOhERERFRDTFQJyIiIiKqofMP1D0dQttGWH1F6IIO7+ifS0RERER0LoF6xaA4tNsQBCH/VSW4ZjBOREQAPF1A2+bToDZCG+2VZ3wbh79EIex2Tlzh6SvxRtH3hd8lSjqPQL0i0ZghiqL45WqA5j79e2ZAPPUOUq15ugBB37qvpTGKKrTrD33xkMqpwHp6QeU4UUHO/czFe6XXT+zgcntr93nxQE8+GNftxz7kbj+zk9ljARA3Dqx5wG+1HwUnJxssVFm2jpp0rKnvxzEag7JB5Mqxe9DXvl8vod2GIE3QDaKnZ3sUIQq6mEibyrCcbW1xLTQ3Wo0rZAtBYn9mxqGjjc3X7ejfNarsIgP1pPDBB/wHfjmbYF89GFW2c+m9JslKbBQhilxAXVOgh3eYQIY8n+Aus4AyetpOYMnFFeTsZy7eK71+lizDHxZfQ+/WxLzMse+7Ep/afgDLV9d/10IbbdWB5h7jAU+nEtptSJPuY0DntkxIBw2MQ9hDwM18F9MVlwd0EmWA5qg1rpiFuJvMobkzrNwmooGZq8FZUx6ktnT0a7Ffm65b04/vUpxPoD6/R1B5JQ+35hyYm7jN/W46UDd1l231udRkyihCNFJOvRsnomAUBbCQX6CHdxOgO8ZAm2OSjdRPpdVFF6sVBwBAaGPoW7C0o+9VhghjbOVWcGIedMlEy41wsV+9ixA/k7TBU6VQ6VuQnen246U2EmHMRlCS/x5omE/uHoNZ0TAS7yvoWzLm9+f+5DvFtdiv9det+cd3Kc4iUA8ffAA+HirFBSHstgrfChC5Ghw1b+CotmhlyKmZb/25tFm6u073FmkPqgPMTUipLrxsPmDyOsbv6d5ymTba7aLt5OxFwWemu8Wzn5Go2KVyJFe/X+n0h2PkTu5L/CDHSoHu4dYEujcilE76QX9aV7jpAmZObTyuWNzg6gR7tUK8Qiv3DQ+6EJdVjQjSQxvtx+/zNvfH9vfUqc1NqTg9q8w9Hj7Ah4ZO8jqLN+jKDqY1O1j5Wiq55LG/AyJuujIcNed8L3ulBiV6x058LXb+LhV4vG4N+q5dujMI1OPgQNNQoQXPgy5IMFtu3IWsjBBYPtRKX/5tPpc2i4MSJPL7Og82pNFiPMEyx28RsYT2LTB+WtbVHKiZ4NsfLpeZYTbL304epeAz8zhq73E/Agswe220pXsMCvYr2+UYuS2YUv0Cj0JKB1q2kupN4chd3IiL9wt7qo5PNAbQnGHm/vZwa7YwqEsaSfgAHy1cpXbnAXZbhaO5jU53qXp/bLvOKSVTs/Jf+Q0+KcE95vI1yobAh+JNHaB1lR/MhjZ6iwp5Fcf8DojG7DEfPRXgLvLWS1V4d7wWjprTgLRs9NmQE76X71JW9rrV5LtGmzU+UA/tIRxtgNFogJZ5WyLQSbSkJ+5W0ZhVCpaqfy6VJyPZWKMYxa0fojFKFVhKR1sdc9DtVy/UKpKt8eNniMYA2nyOlvvUnax0ki3QcSXPGieOS+nDanhLhjd1IHdvFsekID7kLQ7IUTcMbNuGgk4mHSe+hzsofGYfZD+KxKktsPrp/XFMmHMZVv+ATenZ41y8VGfLZUUDs0wgUe3+2H6dox/rEfkbum5Tg61TPX7VWl9Duw3V0eCmotlEL6d0j8EWgeLRvwOigdk+Atwc66+FCGOW/dwRFGW0GnAffPKK7a7bpu8aHVezA/XQRs9sLQoUBSMXJVpY4psot3VKGcU3VPwPjKJR/kN8q8+lchT0LcCUygdGqRSSnKdo6+rwLZGrn5GubEC6hrz8//ABPubxMT4GABLMeYMKyPABfurfNoaOnGpl2yqQAlYHce4p30PpW8BjpTrE3QTrA+AD7cejVCAYNx6slEuaC1ebH7a3ZWXA8LK1csdlEyrdHzuss9HejzUzq0ap13bXcm055ulQ/acZRVyoT+VKa1A6OPV0AZLZgrvy7FMwejwHHUy3qLge/jtQk2uRq8zvshxi/7e7bsd4ZlJ5DQ7Ul4OrEgWKMooLqFIFSJmbIu8m2PVzaZPl9JmPD5vC8xpfQ+l+kJ5usxG0xCwLx5yua0+Ce8yXaS6Ic73n2cqH6gBwMKxL8n0y/9K7hYmn/T+JTCBYdO2VUQBLdqBe8uxDtZUMhMq+ChqAgDjw3GaCAmWUap1NpU6UqmDGueAq3PX7F28do6COgw5rci3qsv95209et6MfH22roYF6nL6CnBkQlFEc4LU3BgebbgoXqyHfPj6XylJGEaLAgrySW7zgTeEg3UUbD/CtOfEKrUYPQvagpwZkxdOhyVawch8FllyjQaXxIFhnqEMflhxQVgsijNliph0G6zW1HPy442byyobwDpN5ZtDfnnl6PGbrPGazava12Nv+b3Ky46OqGhqox+krRWWKMjpUy+SpPveSeLBXovLEALtkC4B0DTlZ0IQ2embujNirqrQk7L3VIc6XzqYzeHoDBpOGNtrZGUgWhXveoEzxprtmysETUPqw4MBp3MNIhDFzoc0bMM9xataXY35mA+6fjRapf72nCpl3mzN2YZ8WaWvFaWAe9NR3LoTdMzFfju84m3Oftc21KOqpV+E8Tve8n/SbzTZct1N812grDQ3U6XwpuEEvM0p/0b23GHCpLtNhRAPjZT67IEDoAeMyqS/Z7exr2QqU0WLGgkSBPe1U6cY8kuyAusWMC8kKqXebLPwzRAMDbZ47NWLpz9xr0BdP3SaXeRgddD+2sey63vDDSJcouC/+DjaMaMziH55ZDl7FMWb8yY6ZSX7fFfSvh6nxNJNuYjKGMzr3WdWvxaHTV6rYcN22Oj46BcH3/ej58+en3o/D8XQIw2sElUdXe9CFKTrb3kRbf+7pCYKAKIpOvRt0RLzm1TXxnDVxn8sI7TZ6GJ8wyAhht+MB4cVkWMF+Zh2pk9Of+6ymX4um7z/tkyAIFxCoU2Xn+jDPF8/bnjfjmnZBvwJ5Wdd8P5p4zpq4z2V4ehsPfQYup8BzT3Q4DNQp17k+zKkYr3l1TTxnTdxnIqJLJQgCc9SJiIiIiOqIgToRERERUQ0xUCciIiIiqiEG6kRERERENfQMiJPViZL4nbg8vObVNfGcNXGfiYgu1TMAnAWAUjgzxOXhNa+uieesiftMRHSpOOsLEREREVFNMVAnIiIiIqohBupERERERDV0/oG6p0No2wirrwhd0OEdYJeIiIiIiDY5j0C9YjAe2m0IgpD/KrWdEHZbgF4UxW9dOSAiIiIiip1HoF6RaMwQRVH8cjVAc5/+PTMgnnoHqbY8XYBQWEMjIiIi2p+LDNSTwgcf8B+2av121IJWedXZ+36evX31QjS1N6Op+01EREQHcz6B+vweQeWVPNyac2Bu4ja3kdSBKggQhDbsnAhKc6Onlvjky9Uq7wk1gzKKEI2UU+8GERERXYCzCNTDBx+Aj4dKzZEh7LYK3woQuRocNW/gqAY3ihBFMxjMh9kTD3qi90H3FukkqgPMTUhCMrUkHgvw1FuRvEbLcQLLZdpot4u2kye7fqJCFtpo537mYnxDYrueLqBth+lxD6mW8fzxDMntFB9/djxFfoWRiIiIztMZBOoebk1A04DJXdkoxoMuSDBbLmaGCCgjBJYPtWIgxNSXqjzoggokeiI6Dzak0aIXQrYQRE8t1qF9C4yflnU1B2om4vWHy2VmmM3yt7OOo/YePyOwALPXRlu6x2DNZ2bNTQk9jBf7GcCCiV6FL5JSePxtSJNu/LcoQuS2YEqciYiIiOhSND5QD+0hHG2A0WiAlnlbIohJtKQnAjnRmFUIhEQYs4K0Fw5K3UDGtfT0L8UoPk+iMUr1ZCgdbXU8Qbe/U2+HbI0f1xeNAbT5HC13hOU3Q+logDNd/53QFhW+eCu46cqYT+52zDePK6DWOHF+lD4s2cGUkToREdFFaHagHtromS24IwWAgpGLja2fyyB7lhfdKSNE0TJIUzCKngK2WDpto9yLLaBPFPQtwJTKz5ySSv3I6aloXe1WHVpdP12RgHQNecM25NQKgHjV2mmfAADhA3zM43P1+F2SYM4Bv1qOFxERETVUgwN1D7pkplo/oYzgQi0ZBJYJurNBtoJRbgu6Cw0yrCDvvWywf9mWU2O6UONzXDwZPXRBgHQ/uOBBussxEulXbiWTiIiIzk5DA/U4fQVuhGwasjKKg8D2xhzhoqA7GXwX8aBzYN9OlFGEKLAgO8P88+hN4UBb9JbE4kHDzZRtBQ/u5+tXEK/QqjxAmoiIiM5JQwP1OH2laKygMmKrYz15sFei8hYes0+SU2xK15CTgWpoo2duCG6Xtpqq81AWOevJ8ROejtzxxqn9VtDR5itjJjydqVRERESXoqGBet0oGHEKxxIU3KD3lFokTdANFqlBi4GS6jIdRjQwXuazCwKEHjAuk/qS3U4NiMYsnj1medzTDgIrk/mes9/KKEqvJwiYdphKRUREdCkE3/ej58+fn3o/DsfTIQyvEVSehcWDLkzRyc0xj6cZ3DQJo5aTmtMEgiAgiqJT7wYdEa95dU08Z03cZyKiSyUIwgUE6lTZ+TzMiytUTa1EHcr5XPPjaeI5a+I+ExFdKkEQ8OzUO0F0OPGA4dGpd4OIiIhoC8xRJyIiIiKqIQbqREREREQ1xECdiIiIiKiGGKgTEREREdXQMyAeVUqUxO/E5eE1r66J56yJ+0xEdKmeAeB0XZTCKdwuD695dU08Z03cZyKiSyUIAlNfiIiIiIjqiIE6EREREVENMVAnIiIiIqohBupERFSRB13Q4W29ug6hbSPc5y4REZ2hPQfqIex2XuG9TaG+44Pgcf0QdrsNO/tE8HQIev7WQ7uNgrdw+mPMWcfTIQhC5vW0zPrjOSNlHv4MEIg28KCvlCeLV9mCJLTRLiiPDs+DLuSU+UREDbSHQD1ZqEsw5w7Ux3+XKSyLAt9qQruN9sFK5lMcY4V1lBGiKHp6BRZk+RpSpc+j/Tq/YMHT4+98XqwW2u1UEOfpQuH96OnpgC+024XbTSyEtpDe5nK95Cv7mXnLJCtqy2Nat41LENrtTAVWhhVE6XIlihCNlM0b83QI0gTd5PouoB4oWF+9hioczGFKxZUMTxdYYSeiRqgcqK8GxApG2cL88TWDIe5xb/fNUXNbjSRznlmwWccY3k2A7g1qtlsXIqM+VpcAACAASURBVITdXgYL50fWNPjDAwQ4srx2u96tiexdCQDQ3FQFFaa0GvAnl4kiRDMjfW+k3nfRytvGOfN0SJMugux52XZzUweyNU6Xi8oIruZgeIBKkDKKVhsq8ioaiUqGMorgtkz0LrBSRkTNUiFQj1uVV4PY5dv6Dq1SPh5OUV5mH+CLV2DJ+csf/Ri3WCe00TNbGNSt9nAhQrsHs+Uiilxop96ZQ7juY3CIAKfVRRcT3OVtNrQx9C1Ym06oaGCgAf5OhYmCviXDmV5KpB7CHvqwxtsE6cuexXr1HMWVujnM2/XXUBm5aJm3R0zJISKqrnSg7ukqfCvID2JDG20VcB+D3QDdiQTdW6aMrGldDO8wmc9xH2x3AEvB/Rzz+yCRG7nnFs1jH+NW69hoSxN0gxGyHdSOWpy20FSptIaCbuz1y8St39lzkk7jWC6zbClfH5SIxqxcekCDKX0L2HuAc4WbLnKDq2UP0dVeP69YcF/QGHGOvFuY6OJmq3q9tigP072KSkfD3Oyl7xNPh+rI6Fb5oNBGu1IlIL5HVbiIogCWr25Ib1HQOVArPxHRvpQO1JVRhFlRK21wD1j9RHAowhho8B+kRcpIcetieDdBy7Lg79SC5WHqyJD9KTzRwGzDZz4qnfqCox9j1XVCuw1BusegIBVHc+MKxrnEkKHdhmS2nipOY6CnOpWXKcsf3gLjeqY6HZ1oYGz5ew9wRGMAzRlmAjMPt2V7iDwdqqPt1psU2hg6Mqz+mdwoG3hTB/K+0+SUEaKgi0kyR1wF3APeO3GFXMKkGywqyiKMWYSgO4G0ZhCs0tHiBh4iopraz6wv0nWmhS2EPXTQugrWtzaHNnqTLvqGgQHUrVt7Q3sI3xpj3K0QPGQHYGZeKwHtMY+x0jpxK5J0P0AUrbaknycPtyZgJXsORAPjVG9PmWUq6PYZoCeIxgCtbKvpzhR0tDkmd8kBo0M4Wqf4e52sbKsONDfnHshWyLM3VPL9HjC+sMpY6yrvYHMGY1ZJc3lsMFm+tiibRAOzTddikY4Yl3+rjUmiMUMURXCh5vcoSteQ/QcOKiWi2tpPoC4amLlIzIQSt2yMFGVNa7MHXZqgu8iNVEYBrodbpGYsgtqxIS6Chw0DwVamDVv3SjyUjnaMVdeJW47OPd0iJXyAjxay8YV41aq2TAX5wcwlUzByWxvzgCtvNZVWE+JugvWt26lxJvG9shKIZ8eiZO+V5fuBBXluYs+HVGMhHvy8v287eH6ZHrbhtc/ZVpYNLqlrujqF7XLA6SUVk0R0HvY3j3qmhbowTQZAXJAOcR0kC30RxswF1Co5iemgFlAwCqz1s1KstPQsg2wtkX9e8FA6+DHucl486JxujI5J6cPys6kqMelaXptSIF8XTB4q3qArO5h62CJ/WoQxtiA70+3y50UDM1eDox5zzu/6qj7l7aLRIDMwX7aC9bPuEBFRoWf721QIu90DxnktLgpGkbLm35v+XiRnedHAbAbgII/aQx/jvs5LmmjMMNp67bqKZ8RREtfBmzoArIrLLGYJSSx0UYMJdyLCGHfRvvVwc51556oFTB4QQskEZXErbqtTFKrFYz+EoQ7AgTaIjhvUKX1YsoSh3Ydy9vkvIuLLlLlJLklwj3mrw4oDEdXWnn+ZlOgIRAMDbQ6zl+hB8HQMfbnaMhBx05UxT4498HRsOd70MonxOIreJPN3pQNtbkLKpKF4ugQTFtaO1VT6sODAmWvoVKqfhrB7Jubrcto3iisK8wuZtm/7wZQKRoceE7Nx1peiX1BV4SD5o3TFv5DqTZ3i3h0iohqoHKiLxmxNykfRAKRzmhqwxsc4N+MZDg6dF1oDyiiAhcTxTjuYDVqVlxGNGVwt8VCfdorn0adcyshFa573I2GLKfIS30MVbonUh7gCJadmWSqQGiianPWjaJkSAyKVPizZgXoeBdZ6Sidnpp2mWJdLX/RKVi48THedJYiI6MAE3/ej58+fn3o/qEYEQUAURafeDToiXvPqmnjO8vY5tNvxrCmZCk48ven6NDDNXT9AM7Tb6GG82rjj6RCG13v7NdRteLqA4XWwYawREdHpCILAQJ1WNTEAOR4PesFUnJuCljrjNa+uiecsf59D2O24N+JSglZPF6D61kkrCkREmzBQp1xNDEBoN7zm1TXxnDVxn4mILpUgCBxMSkRERERURwzUiYiIiIhqiIE6EREREVENMVAnIiIiIqqhZ0CcrE6UxO/E5eE1r66J56yJ+0xEdKmeAeAsAJTCmSEuD695dU08Z03cZyKiS8VZX4iIiIiIaoqBOhERERFRDTFQJyIiIiKqIQbqRERUkQdd0OFtvboOoW0j3OcuERGdoT0H6iHsdl7hvU2hvuOD4HH9EHa7DTv7RPB0CHr+1kO7jYK3cPpjzFnH0yEIQub1tMz64zkjZR7+DBCINvCgr5Qni1fZgiS00S4ojw7Pgy7klPlERA20h0A9WahLMOcO1Md/lyksiwLfakK7jfbBSuZTHGOFdZQRoih6egUWZPkaUqXPo73IVprOqIbk6fEx5R1SaLdTx+rpQuH96Onp8xLa7cLtJhZCW0hvc7le8pX9zLxlkhW15TGt28YlCO12pgIrwwqidLkSRYhGyuaNeToEaYJucn0XUA8UrK9eQxUO5jCl4kqGpwussBNRI5QP1FMBSDI4VTDKFuaPrxkM8SD7vR+OmttqJJnzzILNOsbwbgJ0b1Cz3boAIewh4D5+NwJYvnpWgZ+safCHBwhwZHntdr1bE9m7EgCguakKKkxpNeBPLhNFiGZG+t5Ive+ilbeNc+bpkCZdBNnzsu3mpg5ka5wuF5URXM3B8AD3gjKKVhsq8ioaiUqGMorgtkz0zujeJKLzVDJQD2E/dBKtIy2YvcxDNdOSWC048fFwivIy+wBfvAJLzl/+6Me4xTqhjZ7ZwqButYeLIMKYjaAk/z3QMJ/cnU/L3XUfg0MEOK0uupjgLm+zoY2hb8HSNmxDNDDQAH+nwkRB35LhTC8lUg9hD31Y422C9GXPYr3STOJK3Rzm7fprqIxctMzbI6bkEBFVVzJQF2EYiS5PpQNtfo9g+e/QRltNtyR2JxJ0b5kyosIp2nR4h8l8jvugaIFygvs55vdBIjdyzWdu49jHuNU6NtrSBN0gGSzGHLU4baGpUmkNBd3Y65cJYbdXz0k6jWO5TPzfugUlp6D0LWDvAc4VbrrIDa6WPURXe/28YsF9btv9efJuYaKLm63q9dqiPEz3KiodDXOzl75PPB2qI6Nb5YNCG+1K91t8j6pwH3uz1qe3KOgcqJWfiGhftstRDx/gJ3Ogg3vA6q+0JPoP0iJlxEVRY1h4N0HLsuDv1ILlYerIkP0pPNHAbMNnPiqd+oKjH2PVdUK7DUG6x6AgFUdz4wpGmRTTJgjtNiSz9VRxGgM91am8TFn+8BYYV0918qYO0Lo6rzQk0cDY8vce4IjGAJozzARmHm7L9hB5OlRH2603KbQxdGRY/TO5UTbwpg7kfafJKSNEQReTZI64CrgHTBOMK+QSJt1gkeIiwphFCLoTSGvGiigdLW7gISKqqS0CdQ+6NEE32VUqXWda2ELYQwetq2B9a3Noozfpom8YGEDdurU3tIfwrTHG3QrBQ3YAZua1EtAe8xgrrRO3Ikn3A0TRakv6efJwawJWsudANDBOpSyVWaaCbr9ykBHabaiOBvdcakcJojFAK9tqujMFHW2OSSL/JbSHcLRO8fc6WdlWHWhuzj2QrZBnb6jk+z1gXMNxJ4fUuso72JzBmFXSXB4bTJavLcom0cBs07VYpCPG5V+EWWZh0ZghiiK4UPN7FKVryP7D+aSmEdHZqRSox60WU3SyhadoYOYiMRNK3LIxUpQ1rc3pgF8ZBbgebpGasQhqx4a4CB42DARbmTZs3SvxUDraMVZdJ245KjUbw7kIH+CjhWx8IV61qi1TQX4wU8zThUVr/rlWnhSM3NbGPODKW02l1YS4m2B963ZqnEl8r6wE4tmxKNl7Zfl+YEGem9jzIdVYiAc/7+/bDp5fpodteO1ztpVlg0vqmq5OYbsccHpJxSQRnYfSgXpot9e32mZaqLMtG2kedGGI6yBZ6IswZi6gVslJzLbuKxgF1vpZKVZaepZBtpbIPy94KB38GHc5Lx50TjdWA8k82XMN0heUPiw/m6oSk67ltSkF8nXB5KHiDbqyg6mHLfKnRRhjC7Iz3S5/XjQwczU46jHn/K6v6lPeLhoNMgPzZStYP+sOEREVelZqqUWrdTBbF3aEsNs9YJzX4qJgFClr/r3p70VylhcNzGYADvKoPfQx7uu8pInGDKOt166reEYcJXEdvKkDwKq4zGKWkMRCuwwm9HQJZsu9kB4OEca4i/ath5vrzDtXLWDygBBKJiiLW3FbnaJQLR77IQx1AA60QXTcoE7pw5IlDO0+lLPPfxERX6bMTXJJgnvMWx1WHIiotsqnvszNeFBO4nVOM4hQg4gGBto8PUWop2Poy9WWgYibrox5cuyBp2PL8aYXNxARQHyeoaI3yfxd6UCbm5AyhYSnSzBhYe0pUvqw4MCZa+hUOpUh7J6J+bqc9o0WU2peyLR92w+mVDA6dI/Rxllfin5BVYWD5I/SFf9Cqjd1int3iIhqoFygnpsukpfvVzQA6ZwC+xofY05l6iB5oTWgjAJYSBzvtIPZoFV5GdGYwdUSD/Vpp3ge/VLyvh/nPaWjMnLRmuf9SNhiirzEuVDhlkh9iCtQcmqWpQKpgaLJWT+KlilxPZQ+LNmBeh4F1npKJ2emnaZYl0tf9EpWLjxMd50liIjowATf96Pnz5+fej+oRgRBQBRFp94NOiJe8+qaeM7y9vlx/FGmghNPb7o+DUxz1w/QDO02ehivjufxdAjD6739Guo2PF3A8DrYMNaIiOh0BEFgoE6rmhiAHI8HvWAqzk1BS53xmlfXxHOWv88h7HbcG3EpQaunC1B966QVBSKiTRioU64mBiC0G17z6pp4zpq4z0REl0oQhC1/mZSIiIiIiA6KgToRERERUQ0xUCciIiIiqiEG6kRERERENfQMiJPViZL4nbg8vObVNfGcNXGfiYgu1TMAnAWAUjgzxOXhNa+uieesiftMRHSpOOsLEREREVFNMVAnIiIiIqohBupERERERDXEQJ2IiCryoAs6vK1X1yG0bYT73CUiojO050A9hN3OK7y3KdR3fBA8rh/CbrdhZ58Ing5Bz996aLdR8BZOf4w563g6BEHIvJ6WWX88Z6TMw58BAtEGHvSV8mTxKluQhDbaBeXR4XnQhZwyn4iogfYQqCcLdQnm3IH6+O8yhWVR4FtNaLfRPljJfIpjrLCOMkIURU+vwIIsX0Oq9Hm0H5kg54xqSJ4eH1PeIYV2O3Wsni4U3o+enj4vod0u3G5iIbSF9DaX6yVf2c/MWyZZUVse07ptXILQbmcqsDKsIEqXK1GEaKRs3pinQ5Am6CbXdwH1QMH66jVU4WAOUyquZHi6wAo7ETVC+UA91WqbLHAVjLKF+eNrBkM8xG7viaPmthpJ5jyzYLOOMbybAN0b1Gy3LkJoP6Dz+N1woTnqWQV+sqbBHx4gwJHltdv1bk1k70oAgOamKqgwpdWAP7lMFCGaGel7I/W+i1beNs6Zp0OadBFkz8u2m5s6kK1xulxURnA1B8MD3AvKKFptqMiraCQqGcoogtsy0Tuje5OIzlPJQD2E/dB5LPACy4eafZJl0i+qBSc+Hk5RXmYf4I/HJ+cvf/Rj3GKd0EbPbGFQt9rDhRANA4lwAH1Lxvw+OOEe7dl1H4NDBDitLrqY4C5vs6GNoW/B0jZsQzQw0AB/p8IkvmbO9FIi9RD20Ic13iZIX/Ys1ivNJK7UzWHerr+GyshFy7w9YkoOEVF1JQN1EYbxFH6IN13I/sNT61doo60C7mOwG6A7kaB7yzQAFU7RpsM7TOZz7BrLBPfzOCB6zI1c85nbOPYxbrWOjbY0QTcYIdtB7ajFaQtNlUprKOjGXr9MCLu9ek7SaRzLZeL/bhOUyNfnlYSk9C1g7wHOFW66yA2ulj1EV3v9vGLBfW7b/XnybmGii5ut6vXaojxM9yoqHQ1zs5e+TzwdqiOjW+WDQhvtSvdbfI+qcBFFASxf3ZDeoqBzoFZ+IqJ92SpH3bs10RokWmCCe8DqJ4JDEcZAg/8gLVJGXBQ1hoV3E7QsC/5OLVgepo4M2Z/CEw3MNnzmo9KpLzj6MVZdJ7TbEKR7DApScTQ3rmCUSTFtgtBuQzJbTxWnMdBTncrLlOUPb4FxxVSn0EbPRLXgpAlEA2PL33uAIxoDaM4wE5h5uC3bQ+TpUB1tt96k0MbQkWH1z+RG2cCbOpD3nSanjBAFXUySOeIq4B4wTTCukEuYdINFiosIYxYh6E4grRkronS08+rxIqKzs1WO+rSTCfik60wLWwh76KB1FaxvbQ5t9CZd9A0DA6hbt/aG9hC+Nca4WyF4yA7AzLxWAtpjHmOldeJWJOl+gChabUk/Tx5uTcBK9hyIBsaplKUyy1TQ7ZcMMhKDSddUnJpONAZoZVtNd6ago80xuUsOGB3C0TrF3+tkZVt1oLk590C2Qp69oZLv94DxmV6zIq2rvIPNGYxZJc3lscFk+dqibBINzDZdi8VzKS7/IswyC4vGDFEUwYWa36MoXad7h4mIaqZ8oJ4IbDvTTBqBaGDmIjETStyyMVKUNa3NHnRpgu4iN1IZBbgebpGasQhqx4a4CB42DARbmTZs3SvxUDraMVZdJ245KjUbw7kIH+CjhWx8IV61qi1TQX4wkyc58LiD6ZnN/PJEwchtbcwDrrzVVFpNiLsJ1rdup8aZxPfKyvnOjkXJ3ivL9wML8tzEng+pxkI8+Hl/33bw/DI9bMNrn7OtLJ9LqWu6OoXtcsDpJRWTRHQetkp9UUYBrOzAr0wLdbZlI82DLgxxHSQLfRHGzAXUKjmJ6aAWUDAKrPWzUqy09CyDbC2Rf17wUDr4Me5yXjzonG6sZuLvo+xMz3PAmtKH5WdTVWLS9fpBtIV5++INurKDqYct8qdFGOMdzrdoYOZqcNRjzvldX9WnvF00GmQG5stWsH7WHSIiKlQuUA9t2MknV+4DtOCHhQDELTSj1GwYo9yWmaK/F8lZXjQwO9iD4NDHuK/zkiYaszNsSVqdEcebZpOPyiyzOkvIRQ0m3IkIY9zFJKcJWrxqAbkpBXErbnEPRTz2wxnq0IcOtMGRgzqlD0u+lAGGIuLLdAnHWiC4x7x1xYoDEdVWuUBdNHA1TXRdDq/3NucuUWWigYE2h9lL9CB4Ooa+XG0ZiLjpypgnxx54OrYcbwrAg55Kuwhh90zM1+VYN50Yj6PoTTJ/VzrQ5iakTBqKp0swYWHtWE2lDwsOnLmGTqUTt4/zHVcU5hcybd/2gymzDRMHsHHWl6JfUFXhIPmjdMW/kOpNnbOblYmIzkvp1JfUj0oUBulFA5DOaWrAGh/j3IxnODh0XmgNxOlXieOddjAbtCovIxozuFrioT7tFM+jv3mv0L8eJs57chaK86WMXLTmeT8StpgiL/E9VOGWSH2IK1ByapalAqmBogXne2V2pw1pZItW9ZXfijhHSidnpp2mWJdLX/RKVi48THedJYiI6MAE3/ej58+fn3o/qEYEQUAURafeDToiXvPqmnjO8vY5tNvxrCmZCk48ven6NDDNXT9AM7Tb6GG8Op7H00/eM+vpAobXwYaxRkREpyMIAgN1WtXEAOR4POgFU3FuClrqjNe8uiaes/x9DmG3496ISwlaPV2A6ltM4SSiWmOgTrmaGIDQbnjNq2viOWviPhMRXSpBELabnpGIiIiIiA6LgToRERERUQ0xUCciIiIiqiEG6kRERERENfQMiJPViZL4nbg8vObVNfGcNXGfiYgu1TMAnAWAUjgzxOXhNa+uieesiftMRHSpOOsLEREREVFNMVAnIiIiIqohBupERERERDXEQJ2IiCryoAs6vK1X1yG0bYT73CUiojO050A9hN3OK7y3KdR3fBA8rh/CbrdhZ58Ing5Bz996aLdR8BZOf4w563g6BEHIvJ6WWX88Z6TMw58BAtEGHvSV8mTxKluQhDbaBeXR4XnQhZwyn4iogfYQqCcLdQnm3IH6+O8yhWVR4FtNaLfRPljJfIpjrLCOMkIURU+vwIIsX0Oq9Hm0d55e8vvRDJ4ef+fzYrXQbqeCOE8XCu9HT08HfKHdLtxuYiG0hfQ2l+slX9nPzFsmWVFbHtO6bVyC0G5nKrAyrCBKlytRhGikbN6Yp0OQJugm13cB9UDB+uo1VOFgDlMqrmR4usAKOxE1whaBehy0PpV5CkbZwvzxNYMh7nN398xRc1uNJHOeWbBZxxjeTYDuDWq2WxcmhD10Tr0TeydrGvzhAQIcWV67Xe/WRPauBABobqqCClNaDfiTy0QRopmRvjdS77to5W3jnHk6pEkXQfa8bLu5qQPZGqfLRWUEV3MwPEAlSBlFqw0VeRWNRCVDGUVwWyZ6F1gpI6JmqRyoh/YQueFHJv2iWquUj4dTlJfZB/jiFVhy/vJHP8Yt1glt9MwWBnWrPVyY0O7BbGnQTr0j+3bdx+AQAU6riy4muMvbbGhj6FuwNp1M0cBAA/ydChMFfUuGM72USD2EPfRhjbcJ0pc9i/XqNYordXOYt+uvoTJy0TJvj5iSQ0RUXbVAfREEatkHZmijrQLuY7AboDuRoHvLlBE1P7gHgPAOk/kc98E2u/8kuJ9jfh8kciPXfOY2jn2MW61joy1N0A1GyHZQO2px2kJTpdIaCrqx1y8Twm6vnpN0Gsdymfi/pYKS0EbPBKx+Z9tDqzWlbwF7D3CucNNFbnC17CG62uvnFQvuc9vuz5N3CxNd3GxVr9cW5WG6V1HpaJibvfR94ulQHRndKh8U2mhXqgTE96gKF1EUwPLVDektCjoHauUnItqXCoF6CLtnouWOsBJ+BPeA1U8EhyKMgQb/QVqkjLiFLYvh3QQty4K/UwuWh6kjQ/an8EQDsw2f+ah06guOfoxV1wntNgTpHoOCVBzNjSsYZVJMmyC025DM1lPFaQz0VKfyMmX5w1tgXCbVKb5PkO36PyeigbHl7z3AEY0BNGeYCcw83JbtIfJ0qI62W29SaGPoyLD6Z3KjbOBNHcj7TpNTRoiCLibJHHEVcA+YJhhXyCVMusEixUWEMYsQdCeQ1gyCVTpa3MBDRFRTpQP1uCvfzQ/0pOtMC1ucn9u6Cta3Noc2epMu+oaBAdStW3tDewjfGmPcrRA8ZAdgZl4rx3nMY6y0TtyKJN0PEEWrLennycOtCVjJngPRwDiVslRmmQq6/VJBxvI+mZ1tlB4TjQFa2VbTnSnoaHNM7pIDRodwtE7x9zpZ2VYdaG7OPZCtkGdvqOT7PWBcw3Enh9S6yjvYnMGYVdJcHhtMlq8tyibRwGzTtVikI8blX7Ry34nGDFEUwYWa36MoXUP2HziolIhqq1yg7ulxQVjUHCsamLlIzIQSt2yMFGVNa7MHXZqgu8iNVEYBrodbpGYsgtqxIS6Chw0DwVamDVv3SjyUjnaMVdeJW45KzcZwLsIH+GghG1+IV61qy1SQH8xkLAflXcS1UDByWxvzgCtvNZVWE+JugvWt26lxJvG9shKIZ8eiZK/P8v3Agjw3sedDqrEQD37e37cdPL9MD9vw2udsK8sGl9Q1XZ3Cdjng9CJuTSI6KyUC9cXsFYlWJ9VZ5DwnH4iZFur1LYoedGGI6yBZ6IswZi6gVslJTAe1gIJRYK2flWKlpWcZZGuJ/POCh9LBj3GX8+JB53RjJ7S4T+Zm3NWenSbunAYHLCl9WH42VSUmXctrUwrk64LJQ8UbdGUHUw9b5E+LMMYWZGe6Xf68aGDmanDUY875XV/Vp7xdNBpkBubLVrB+1h0iIipUIlBfLXxdbZHznGqeKPhhIQBxC02y61PBKLdlpujvRXKWFw3MDvYgOPQx7uu8pInG7AxbklZnxPGm2eSjMsuszhKy3WDC1fskrgAupok7vwuAODDuYpLTBC1etYDclIK4Fbe4hyIe++EMdehDB9rgyEGd0oclX8oAQxHxZbqEYy0Q3GPeumLFgYhqa8+/TEp0BKKBgTaH2Uv0IHg6hr5cbRmIuOnKmCfHHng6thxvepnEeBxFb5L5u9KBNjchZXoSPF2CCQtrx2oqfVhw4Mw1dCrVb+KBvPN1Oe0bxRWF+YVM27f9YMpsw8QBbJz1pegXVFU4SP4oXfEvpHpTp7h3h4ioBrYK1JVRUa5f0QCkc5oasMbHmEq7OGBeaA0oowAWEsc77WA2aFVeRjRmcLXEQ33aKZ5Hn3IpIxeted6PhC2myEt8D1W4JVIf4gqUnJplqUBqoGhy1o+iZUoMiFy0qqvnUWCtp3RyZtppinW59EWvZOXCw3TXWYKIiA5M8H0/ev78+an3g2pEEAREUXTq3aAj4jWvronnLG+fQ7udO1lAPL3p+jQwzV0/QDO02+hhvDqex9MhDK/39muo2/B0AcPr4OxnaCKi5hIEgYE6rWpiAHI8HvSCqTg3BS11xmteXRPPWf4+h7DbcW/EpQStni5A9a2TVhSIiDZhoE65mhiA0G54zatr4jlr4j4TEV0qQRA4mJSIiIiIqI4YqBMRERER1RADdSIiIiKiGmKgTkRERERUQ8+AOFmdKInficvDa15dE89ZE/eZiOhSPQPAWQAohTNDXB5e8+qaeM6auM9ERJeKs74QEREREdUUA3UiIiIiohpioE5EREREVEMM1ImIqCIPuqDD23p1HULbRrjPXSIiOkN7DtRD2O28wnubQn3HB8Hj+iHsdht29ong6RD0/K2HdhsFb+H0x5izjqdDEITM62mZ9cdzRso8/BkgEG3gQV8pTxavsgVJaKNdUB4dngddyCnziYgaaA+BbpECegAAIABJREFUerJQl2DOHaiP/y5TWBYFvtWEdhvtg5XMpzjGCusoI0RR9PQKLMjyNaRKn0d7sRKgCAf8Xh6Xp8fHkxerhXY7FcR5evFxe3o64AvtduF2EwuhnTmXy/XWneu8ZZIVteUxneP1qiK025kKrAwriNLlShQhGimbN+bpEKQJusn1XUA9ULC+eg1VOJjDlIorGZ4usMJORI1QOlBfeeA9FnIKRtnC/PE1gyEebN9356i5rUaSOc8s2KxjDO8mQPcGNdutyxDcYy5bCBLfkVndviA7kDUN/vAAAY4sr92ud2sie1cCADQ3VUGFKa0G/MllogjRzEjfG6n3XbTytnHOPB3SpIsge1623dzUgWyN0+WiMoKrORgeoBKkjKLVhoq8ikaikqGMIrgtE70LrJQRUbNUalHX3DUPu0z6RbVWKR8Ppygvsw/wxSuw5Pzlj36MW6wT2uiZLQzOKDhsnNbV+VaSrvsYHCLAaXXRxQR3eZsNbQx9C5a2YRuigYEG+DsVJgr6lgxneimRegh76MMabxOkL3sW65VmElfq5jBv119DZeSiZd4eMSWHiKi60oF6cJ/bnhULbbRVwH0MdgN0JxJ0b5kyosIpXPcOk/kc90G1Hc/bv/l9kEg9WPOZ2zj2MW61jo22NEE3GCHbQe2oxWkLTZXq5Snoxl6/TAi7vXpO0mkcy2Xi/24KSsIHf6djagKlbwF7D3CucNNFbnC17CG62uvnFVtb1p0b7xYmurjZqmapLcrDdK+i0tEwN3vp+8TToToyulU+KLTRrlQJiO9RFS6iKIDlqxvSWxR0DtTKT0S0L5Va1JfB3srAoOAesPqJ4FCEMdDgP0iLlBEXRY1h4d0ELcuCv1MLloepI0P2p/BEA7MNn5k4oJKpLzj6MVZdJ7TbEKR7DApScZa9IWVSTJsgtNuQzNZTxWkM9FSn8jJl+cNbYFwy1Sn5vTqnmtGSaGBs+XsPcERjAM0ZZgIzD7dle4g8Haqj7dabFNoYOjKs/pncKBt4UwfyvtPklBGioItJMkdcBdwDpgnGFXIJk26wSHERYcwiBN0JpDX3odLR4gYeIqKaKh2oJ/MAA8uHmmypkK4zLWwh7KGD1lWwvrU5tNGbdNE3DAygbt3aG9pD+NYY426F4CE7ADPzWgloj3mMldaJW5Gk+wGiaLUl/Tx5uDUBK9lzIBoYp1KWyixTQbdfKsgQjVkq31lz1LMM1kVjgFa21XRnCjraHJO75IDRIRytU/y9TlaKVAeam3MPZCvk2euRfL8HjGs47uSQWld5B5szGLNKmstjg8nytUXZJBqYbboWi3TEuPxbHQ+yvB9dqPk9itI1ZP+Bg0qJqLa2mvVFNMawkvmkooGZi8RMKHHLxkhR1rQ2e9ClCbqL3EhlFOB6uEVqxiKoHRviInjYMBAsZ1aO4lfioXS0Y6y6TtxyVGo2hnMRPsBHC9n4QrxqVVumgvxgZhMFo8CC7EzPMA9WwchtbcwDrrzVVFpNiLsJ1rdup8aZxPfKSiCeHYuSvVeW7wcW5LmJPR9SjYXIz9TadvD8Mj1sw2ufs60sG1xS13R1CttlQ9MlFZNEdB72N496poV6/UwXHnRhiOsgWeiLMGYuoFbJSUwHtcvAaO2sFCstPcsgW0vknxc8lA5+jLucFw86pxujY1L6sPxsqkpMupbXphTI1wWTh4o36MoOph62yJ8WYYx3qBiJBmauBkc95pzf9VV9yttFo0FmYL5sBetn3SEiokIlA3UPemre417OA7Tgh4UAxC00ya5PBaPclpmivxfJWV40MDvYg+DQx7iv85ImGrMzbElanRHHm2aTj8osszpLyF4HEwb3+dMKngURxriLSU4TtHjVAnJTCuJW3OIeinjshzPUoQ8daIMjB3VKH5Z8KQMMRcSX6RKOtUBwj/k5z9JERI1XMlBX0L8ePg223OOcu0SViQYG2hxmL9GD4OkY+nK1ZSDipitjnhx74OnYcrwpgBC2nuzV8KCrDuTUIOQzI8bjKHqTzN+VDrS5CSmThuLpEkxYWDtWU+nDggNnrqFT6cSFsHsm5uty2jeKKwrzC5m2b/vBlNmGiQPYOOtL0S+oqnCQ/FG64l9I9aZOce8OEVENlE59SQ2SKwzSiwYgndPUgDU+xrkZz3Bw6LzQGlBGASwkjnfawWzQqryMaMzgaomH+rRTPI/+RiKMzn3iGqjwreCsfvAojzJy0Zrn/UjYYoq8xPdQhVsi9SGuQJWq4KQGiiZn/ShapsSAyEWrunoeBdZ6Sidnpp2mWJdLX/RKVi48THedJYiI6MAE3/ej58+fn3o/qEYEQUAURafeDToiXvPqmnjO8vY5tNvxrCmZCk48ven6xC3NXT9AM7Tb6GG8Wln1dAjD65P2zHq6gOH1+Vekiai5BEFgoE6rmhiAHI8HvWAqzk1BS53xmlfXxHOWv88h7HbcG3EpQaunC1B9iymcRFRrDNQpVxMDENoNr3l1TTxnTdxnIqJLJQjCHqdnJCIiIiKivWGgTkRERERUQwzUiYiIiIhqiIE6EREREVENPQPiZHWiJH4nLg+veXVNPGdN3Gciokv1DABnAaAUzgxxeXjNq2viOWviPhMRXSrO+kJEREREVFMM1ImIiIiIaoiBOhERERFRDTFQJyKiijzogg5v69V1CG0b4T53iYjoDO05UA9ht/MK720K9R0fBI/rh7DbbdjZJ4KnQ9Dztx7abRS8hdMfY846ng5BEDKvp2XWH88ZKfPwZ4BAtIEHfaU8WbzKFiShjXZBeXR4HnQhp8wnImqgPQTqyUJdgjl3oD7+u0xhWRT4VhPabbQPVjKf4hgrrKOMEEXR0yuwIMvXkCp9Hu1PCLv9FKScSyXJ04uPJ7TbqSDO04XC+9HT0wFfaLc3n6dF4Jfc5nK95Cv7mXnLJCtqy2Nat41LENrtTAVWhhVE6XIlihCNlM0b83QI0gTd5PouoB4oWF+9hioczGFKxZUMTxdYYSeiRqgWqCdbbh8LPQWjbGH++JrBEPe/03vjqLmtRpI5zyzYrGMM7yZA9wY1260LEcJuS5h0g8fvSOfhfAICWdPgDw9wPLK8drverYnsXQkA0NxUBRWmtBrwJ5eJIkQzI31vpN530crbxjnzdEiTLoLsedl2c1MHsjVOl4vKCK7mYHiASpAyilYbKvIqGolKhjKK4LZM9C6wUkZEzVI+UPd0CCrgLgq94PphbfpFtVYpHw+nKC+zD/DlsVly/vJHP8Yt1glt9MwWBnWrPVyI0O7BbLmYJc6/YuwnAKqF6z4GhwhwWl10McFd3mZDG0PfgqVt2IZoYKAB/k6FiYK+JcOZXkqkHsIe+rDG23xHlz2L9UoziSt1c5i366+hMnLRMm+PmJJDRFRdyUB9UZgHIyzbJETDePx/hDbaiSA+igJ0JxJ0b5kyosIp3PQdJvM57oOdjgPB/Rzz+yCRG7nmM7dx7GPcah0bbWmCbuI6LTnqeaVhAJm0hoJu7PXLxCkq2XOSTuNYLrNMZ1kXlIS4m8yhdUqkBzSY0reAvQc4V7jpIje4WvYQXe3184oF97lt9+fJu4WJLm62qklqi/Iw3auodDTMzV76PvF0qI6MbpUPCm20K1UC4ntUhYsoCmD56ob0FgWdA7XyExHtS7lAPbzDBF1c3bXzW5ODe8DqJ4JDEcZAg/8gLVJGXBQ1hoV3E7QsC/5OLVgepo4M2Z/CEw3MNnzmo9KpLzj6MVZdJ7TbEKR7DApScTQ3rmCUSTFtgtBuQzJbTxWnMdBTncrLlOUPb4HxplSnAPdzGddIDqSrV2vjXogGxpa/9wBHNAbQnGHmfHm4LdtD5OlQHW233qTQxtCRYfXP5EbZwJs6kPedJqeMEAVdTJI54irgHjBNMK6QL1LORgoAEcYsQtCdQFozCFbpaHEDDxFRTZVPfZmbGGKcn8cpXWda2ELYQwetq2B9a3Noozfpom8YGEDdurU3tIfwrTHG3QrBQ3YAZua1EtAe8xgrrRO3Ikn3A0TRakv6efJwayLVwxMHj3LFZSro9jcHGeEDfACTKTB+TKMCTOmYM14ch2gM0Mq2mu5MQUebY5LIfwntIRytU/y9Tla2VQeam3MPZCvk2Rsq+X4PGNdw3Mkhta7yDjZnMGaViudjg8nytUXZJBqYbboWi3TEuPyLUiln8SZmiKIILtT8HkXpGrL/cDZjSIjo/JQP1GUL48dCMM7jfMwFFQ3MXCRmQolbNkaKsqa12YMuTdBd5EYqowDXwy1SMxZB7dgQF8HDhoFgK9OGrXslHkpHO8aq68QtR6VmYzgX4QN8tJCNL8SrVrVlKsgPZvJ1+0/5vqIxhiU7OL+UZwUjt7UxD7jyVlNpNSHuJljfup0aZxLfKyuBeHYsSvZeWb4fWJDnJvZ8SDUW4sHP+/u2g+fTsx0VvvY528qywSV1TVensF0OOL2kYpKIzkOFFvV7rO0gzLRQZ1s20jzowhDXQbLQF2HMXECtkiqQDmoBBaPAWj8rxUpLzzLI1hL55wUPpYMf4y7nxYPO6cZqa7cBjjWl9GH52VSVmHQtr00pkK8LJg8Vb9BdVmwq50+LMMYWZGe6XQ+GaGDmanDU8+sB2Ub1KW8XjQaZgfmyFaTL1T3NLkNEdAnKBeqLh+dTWkmcVpAeGFTww0IA4haaZNenglFuy0zR34vkLC8amB3sQXDoY9zXeUkTjdkZtiStzojjTbPJR2WWWQ2itx5MKN6gK+cPAK7SIt8cIoxxF5OcJmjxqgXkphTErbjF5yMe++EMdehDB9rgyEGd0oclX8oAQxHxZbqEYy0Q3GPeumLFgYhqq2SLetyq2zKlxx+UgHtZeZxUI6KBgTaH2Uv0IHg6hr5cbRmIuOnKmCfHHng6thxv+ri9ZItsaPdgwsLZjk0U43EUvUnm70oH2tyElElD8XRp8/lQ+rDgwJlrqDaBTgi7Z2K+Lqd9o7iiML+Qafu2H0yZbZg4gI2zvhT9gqoKB8kfpSv+hVRv6hT37hAR1UCFHzxK5y3mt9AWDUA6p6kBa3yMczOe4eDQeaE1oIwCWEgc77SD2aBVeRnRmMHVEg/1aad4Hv0SRGOGwPIft7fPH5KpK2XkojXP+5GwxRR5ie+hCrdE6kNc4ZFTsywVSA0UTc76UbRMiQGRi1Z19TwKrPWUTs5MO02xLpe+6JWsXHiY7jpLEBHRgQm+70fPnz8/9X5QjQiCgCiKTr0bdES85tU18Zzl7XNot+NZUzIVnHh60/VpYJq7foBmaLfRw3h1PI+nQxhen7QS6+kChtfBhrFGRESnIwgCA3Va1cQA5Hg86AVTcW4KWuqM17y6Jp6z/H0OYbfj3ohLCVo9XYDqW2ff20VEzcZAnXI1MQCh3fCaV9fEc9bEfSYiulSCIFTJUSciIiIiomNhoE5EREREVEMM1ImIiIiIaoiBOhERERFRDT0D4mR1oiR+Jy4Pr3l1TTxnTdxnIqJL9QwAZwGglP/X3t0jqcpEYQB+qfqWAhN4XQGsACYxIjWDEBIzQ7NJIJTM1Mhk6BXICiiDgb3wBegMIKD4MwP4PlXWrTsC8iPN6e7TLWeGeD285t0N8ZwNcZ+JiF4VZ30hIiIiIuopBupERERERD3EQJ2IiIiIqIcYqBMRUUcCtmRD3Ly6DUnzkT5yl4iIRujBgXoKX6srvG8p1O98EHyvn8LXNPjVJ4KwIdn1W099DQ1v4e+PsWYdYUOSpMrrZ5n24xmRax7+DBCILhCwz8qT4+vagiT1oTWUR88nYEs1ZT4R0QA9IFAvFuoK3CiA8f3/awrLpsC3m9TXoD2tZP6LY+ywjr5GlmU/r8SDqk6gdPo8ultthena70j/CTs/nrpYLfW1UhAnbKnxfhR2OeBLfa1xu4WFoEnlbZ7WK76qn1m3TLGidjqmtm28gtTXKhVYFV6SlcuVLEO21i9vTNiQlC3M4vohYDwpWD+/hgYCRHCV5kqGsCVW2IloEK4K1Gsfdt8PVh3ramH+/drDkZ97AHcJjNrjUtyosuCwjjH93ALmO3q2W+NXrTBlGbLQAlQT7yO5GKplIV49IcBR1dbtig8X1bsSAGCFpQoqXOU84C8uk2XI9k753ii9H2Jat40xEzaUrYmkel5u3dwugOptyuWivkZoBVg9oRKkryv3XOJBratoFCoZ+jpDOHUxf8FKGRENy1WBuuzsKwFICAsWZsXGlUprYrdWqRhff1FeVh/gx1fiqfXL//ox3rBO6mPuTrHsW+3hJaXwVwGs5WMCoF6YLLB8RoAzNWFii8+6zaY+VrEHz7qwDdnB0gLiuwoTHQtPRbB7lUg9hb+K4W1u+Y6eehb71WOUV+oiuB/t11Bfh5i6H7+YkkNE1N1NqS/CNoBwje84PfWhGUD4HewmMLcKbHFKGTEQNG0s/cQ2inBIbtmTH8khQnRICrmRLZ95i98+xpvW8aEpW5hJ4docBUZz2sJQlXp6Grqx25dJ4Wvn56ScxnFaJv+3U1AiPuDCw+KKbIEh0Rce8PAA5w3vJmqDq1MP0dtDP69Zcqhtux8n8QEXt/b4WMfysNyrqM8sRO68fJ8IG0agwuzyQakPrVMlIL9HDYTIsgRebFxIb9Exe1IrPxHRo3QP1I+tW6XgIzkA3qIQHMpwlhbiL+WYMhKiqTEs/dxi6nmI72rBEtgFKtR4ByE72F/4zG9Xp77g14+x6zqpr0FSDlg2pOJYYV7BuCbFdAhSX4PiTn8qThtgbgSdl7lWvPoANl1SnUbYmn4iO9h48cMDHNlZwgpWlcBM4OPaHiJhwwis+3qTUh+rQIU3ttpVA7ELoD46TU5fI0tMbIs54gYQPjFNMK+QK9iayTHFRYazz5CYWygtg2D1mZU38BAR9VTnQD393GJaDT6USaWFLQ9Spm9Je2tz6mO+NbFwHCxh3Nzam/orxN4GG7ND8FCXT1x4nQW0v3mMndbJW5GUwxJZdt6SPk4CHy7gFXsOZAebUsrSNct0YC66BRnpJ7ZRJT1sRGRniWm11fRuOmZWhO1nccDoCoE1a/5eFyvbRgArrLkHqhXy6g1VfH8ObHo47uSZpm91B1szGLNLmst3g8npdUPZJDvYX7oWx3TEvPzLsK8sfErbDGHU9ygqE6jxFweVElFvdQzU89ats+BDdrAPUZgJJW/ZWOt6S2uzgK1sYR5zI/V1gsnqhtSMY1C7ceRj8HBhINjZtGFtr8JD6deOses6ecvRVbMxjEX6hRhTVOML+W3abZkO6oOZll383CJqCzAHT8c6nF7MA+681VJaTYrPLdpbt0vjTPJ75SwQr45Fqd4rp/cTD2rk4sGH1GMpvuK6v986eP6UHnbh9cjZVk4NLqVrej6F7WnA6SsVk0Q0Dt0CdbFrbt2qtFBXWzYqG4ItrTBJioW+DGcfAkaXnMRyUAvoWCde+6wUZy09P4Njw0sPpacf4z3nRcDmdGM9keJzG8Eaa3P6ib6AF1dTVXLKRG1NKVAnDZOHyu8w1QA7gRvyp2U4Gw9qsLstf152sA8tBMZvzvndX92nvD02GlQG5qte0j7rDhERNfqvy8JiF8CarRveTeFrc2BT1+KiY53pLf+/9PcmNcvLDvZ7AE951D77GB91XspkZ4+mqzZc+Yw4euE6iF0AwOu4zHGWkMJCdw8mPKa9LEcep+eBsQntQ+B9UnnnbQpsv5BCrwRleSvudNYUquVjP6SVDSCAtcx+N6jTF/BUBSt/AX30+S8y8stUuUleSXJANJ2x4kBEvdWhRT3FVzzenFsaENnB0orgzgs9CMLGKla7LQMZ76aKqDj2QNi4cbzpt/GnvRTI+TiK+bbyd30GK3KhVNJQhK1cnglHX8BDgKBzjn8Kf+7eee7zikL0ItP23T6YUsf62WNiLs760vQLqgYCFH+UrvkXUsUuaO7dISLqgQ6Bugxnf6lgbhqANKapAXt8jJGbz3Dw7LzQHtDXCTwUjnc3w3457byM7OwRWoWH+m7WPI/+lZJD9FIPf30dYhrV/UjYcYq8wvfQQHhF6kNegVJLsyw1KA0ULc760bTMFQMi9QU8NYAxjgKrnT6rmWlnKNpy6ZtexWeYwO7eWYKIiJ5MiuM4+/fv31/vB/WIJEnIsuyvd4N+Ea95d0M8Z3X7nPpaPmtKpYKTT2/angZmhe0DNFNfwxyb8/E8woa0mjzs11BvIWwJq0lyYawREdHfkSSJgTqdG2IA8nsE7IapOC8FLX3Ga97dEM9Z/T6n8LW8N+JVglZhSzBi708rCkRElzBQp1pDDEDoPrzm3Q3xnA1xn4mIXpUkSTf8MikRERERET0dA3UiIiIioh5ioE5ERERE1EMM1ImIiIiIeug/IE9WJyrid+L18Jp3N8RzNsR9JiJ6Vf8B4CwAVMKZIV4Pr3l3QzxnQ9xnIqJXxVlfiIiIiIh6ioE6EREREVEPMVAnIiIiIuohBupERNSRgC3ZEDevbkPSfKSP3CUiohF6cKCewtfqCu9bCvU7HwTf66fwNQ1+9YkgbEh2/dZTX0PDW/j7Y6xZR9iQJKny+lmm/XhG5JqHPwMEogsE7LPy5Pi6tiBJfWgN5dHzCdhSTZlPRDRADwjUi4W6AjcKYHz//5rCsinw7Sb1NWhPK5n/4hg7rKOvkWXZzyvxoKoTKJ0+jx5F2IUAZUSVgtNx1cVqqa+VgjhhS433o7DLAV/qa43bLSwETSpv87Re8VX9zLplitekdK0atvEKUl+rfFdVeElWLleyDNlav7wxYUNStjCL64eA8aRg/fwaGggQwVWaKxnCHte9SUTj1SFQLwarxeBUx7pamH+/9nDkZ+z2gwRGbauR4kaVBYd1jOnnFjDf0bPdegmpr8GIPSRZhixL4MGFMqLuDNWyEK+eEOCoaut2xYeL6l0JALDCUgUVrnIe8BeXyTJke6d8b5TeDzGt28aYCRvK1kRSPS+3bm4XQPU25XJRXyO0AqyeUAnS19l5Q0VdRaNQydDXGcKpi/kLVsqIaFiuDNRT+JoBhKeC0MRWaU+/6NYqFePrL8rL6gP8+Eo8tX75Xz/GG9ZJfczdKZZ9qz28hBSf2wjW8hTwyHA2HtRg94vd/k82WWD5jABnasLEFp91m019rGIPnnVhG7KDpQXEdxUmOhaeimA3mit2QQp/FcPb3BKkn3oW+5VmklfqIrgf7ddQX4eYuh/juTeJaJSuDNQTHCILs1ODhPwOUy0EkamPPI4/BbsJzK0CW5xa4Q0ETZtOP7GNIhyS+w4kOUSIDkkhN7LlM2/x28d40zo+NGULM1mj2kEdGM1pC0NVSmto6MZuXyaFr52fk3Iax2mZ/N++BSV/QV94wMMDnDe8m6gNrk49RG8P/bxmyaG27X6cxAdcmHi/qV5vHcvDcq+iPrMQufPyfSJsGIEKs8sHpT60Tvdbfo8aCPPerNi4kN6iY/akVn4ioke5MlDPC7TvRqZq4Z4cAG9RCA5lOEsL8ZdyTBkJ0dQYln5uMfU8xHe1YAnsAhVqvIOQHewvfOa3q1Nf8OvH2HWd1NcgKQcsG1JxrGNvyDUppkOQ+hoUd/pTcdoAcyPovMy14tUHsLmU6iTj3VQRfKdwpPDnbuV7MwKyg40XPzzAkZ0lrGBVCcwEPq7tIRI2jMC6rzcp9bEKVHiLUV2xRmIXQH10mpy+Pva6FspVAwifmCaYV8gVbM3kmOIiw9lnSMwtlJZBsPrMyht4iIh66uocdX2dYLIqFLrFfEZlUmlhS+GvAkzfkvbW5tTHfGti4ThYwri5tTf1V4i9DTZmh+ChOgCz8joLaH/zGDutk7ciKYclsuy8JX2cBD5cwCv2HMgONqWUpWuW6cBcXBVkyM7+Jzg4Bg77EaYhyc4S02qr6d10zKwI20L+S+qvEFiz5u91sbJtBLDCmnugWiGv3lDF9+fApofjTp5p+lZ3sDWDMbukuXw3mJxeN5RNsoP9pWtxTEfMy7/s7F6TnT2yLEMIo75HUZlAjb84qJSIeuvKQF3Azp9gx0J3hl2xwJYd7EMUZkLJA5S1rre0NgvYyhbmMTfyVBHoHKwfg9qNIx+DhwsDwc6mDWt7/cUxdl0nbzm6ajaGsUi/EGOKanwhv027LdNBfTBztmPwNQlzbL4DlA3mI51dQsc6nF7MA+681VJaTYrPLdpbt0vjTI6NCdWbpToWpXqvnN5PPKiRiwcfUo+l+Irr/n7r4PlTetiF1yPvh1ODS+mank9hexpw+krFJBGNw3WButghsJaFAlrHwkOp5avaQt3eiihgSytMkmKhL8PZh4DRJSexHNQCOtaJ1z4rxVlLzynItgr55w0Ppacf4z3nRcAeZUA4IOIDLjxsCt8L2dnAw0iDP30BL66mquSUidqaUqBOGiYPld9hqsc0u87503cO3pUd7EMLgfGbc373V/cpb4+NBpWB+aqXtM+6Q0REja4L1JVJ5eEn8OFGlVbGhh8WApC30BS7PnWsa1tmmv7epGZ52cH+aQ+CZx/jo85LmezsR9iSdD4jjthVk4+uWeZ8lpCXGkx4FxnOxsS2phYiv02B2pSCvBW3uYciH/sRrGzYq6Awg84v0Rfw1FcZYCgjv0yvcKwNkgOi6RsrDkTUW9cF6mdpHwZiLxlh8EeDIDtYWhHceaEHQdhYxWq3ZY6DP6Pi2ANh48bxpoA+gxWVpy5M/Tnc4oxJYyPn4yjm28rfj+eiOoe8sBW48NA6VlNfwEOAoPN5ywfvRm057RflFYXoRabtu30wZbVh4gkuzvrS9AuqBgIUf5Su+RdSxS5o7t0hIuqB63/w6Kq0j6YBSGOaGrDHxxi5x0GMT84L7QF9ffwxodPx7WbYL6edl5GdPUKr8FDfzZrn0b+8V1gffzDnZwahKcKRD/LV1yGmUd2PhB2nyCt8Dw2EV6Q+5BUo9ZrZckoDRYuzfjQtc8WAyGOrujGOAqudPquZaWc2zoqVAAAPSElEQVQo2nLpm17Fe1Fgd+8sQURETybFcZz9+/fvr/eDekSSJGRZ9te7Qb+I17y7IZ6zun1OfS2fNaVSwcmnN21PA7PC9gGaqa9hjs15w46wIa0mD/s11FsIW8JqMs5ZmYhoHCRJYqBO54YYgPweAbthKs5LQUuf8Zp3N8RzVr/PKXxtvFOJ1hG2BCP2/rSiQER0CQN1qjXEAITuw2ve3RDP2RD3mYjoVUmS1CFHnYiIiIiIfg0DdSIiIiKiHmKgTkRERETUQwzUiYiIiIh66D8gT1YnKuJ34vXwmnc3xHM2xH0mInpV/wHgLABUwpkhXg+veXdDPGdD3GciolfFWV+IiIiIiHqKgToRERERUQ8xUCciIiIi6iEG6jdKfQ2an/71bhAR/QEBW7Ihbl7dhqT5YAlKRNRutIG6sCVI0hUvu/qoEbAblmVg/rqEzetPr6K5DDwvLxukPrTSuncE9Z0J2JIG3q5ENAajDdT1dYYsK7xCC4AKL6n8fa1X18Q6qyyTZQitvzgKov44VX7rYrXU10pBXFvFRtjlgC/1tcbtFhaCVqksn9Zrq0zXLVNsya2r0L9ihSz1tUoLd01ZWVte1hA2JGULs7h+CBhPCtbPr6GBABFcpbmSIWyJLfpENAijDdTLBGwjhhea2Cq3PCxSfMUqzHf5CftGNByqZSFePSHAUdXW7YoPF1HdG1b4EwwmHuAq5wF/cZksQ7Z3IDe+H2Jat40xEzaUrYmkel5u3dwugOpt4BQ3pq8RWgFWT6gEnTXKJB7UC40y+jpDOHUxf8FKGRENy+gD9by1ZYdZtoejO9hnM+y6dOECQPqJbTTFG+N0enWTBZbPCHCmJkxs8Vm32dTHKvbgXerVkh0sLSD+umffdCw8FcHuVSL1FP4qhre5JUgPYEgSpJ6lmeSVugjuR/s11Nchpu7HL6bkEBF1N85AXdjf3Z27WYYsW6PQlpKntsx238tcitnFhwt4C1zR6Ut9UfgOnPJjqykX38sVu8Br1mtSTqvoV7DyTPrCAx4e4Lzh3URtcJV+bgHzHW8P/bxmyaG27X6cxAdcmLits9BCmGXIsn2p9VyfWYjcefl+EDaMoGOvZOpD63RfpfA1CQZCZFkCLzYupLfomD2plZ+I6FHGGajr6+/uzsaUymuWAfLWvMDC0mFz+lCkvgbJwDGIyJBlM3z5KfSZBcRfpQe32AVQzXfILes1fYayNZF85+BO4d6UVjVAsoONFz88wJGdJaxgVQnMBD7c6XX3n7Bh3Huvpj5WgQpv8RrV8uL3/2H0NbLExLaYI24AYSWgf6S80qxgaybHFBcZzj5DYm6htPSg6jML0SF5zk4RET3AOAP1hxGwFRfTcM3W9MEQ+HABLyn3ojiODOgzWFExvUJg993K17Je02cU0wX0BTw1wKtkTMjOEtNqq+nddMysCNvP4oDRFQJr1nz/BUYhGAxg1d2rxWXqgrbi+3Ng88SAso+mtTl9NYMxu/QcyQ72pYGoN5ShsoP9pWtx7AFTDktkWYZ9ZWHZ2eeTAcCo7z1VJlArlXcioj4ZYaDeMrVY46uuJVTAlgzEXtLe4k79kn4hRtN4gkogKHYIrGUeCLSuV/cZ1UBGgRvdmx89JDrW4fRiHnDnrZbSalJ8btHeul0aCJpgsqoJxKuDSas39On9xIMauXjwIfVYiq+47u/1M19lNWku1e352hXl7SNnWzn1jJau6fkc76cBpyzLiWhoRhioNz1kQljfOZXVV6W1J/Wh5X21Zy001HPJoX52kCN9ZiHafiJF3u1vzfSr1jtX/116qe+LvoAXV1NVcspEbU0pUCdK/RvyO8xTz0Tn/GkZzsaDGuxuS0GSHexDC4HxIilMF3T/Ubc83aR4PySeCtVL2mfdISKiRiMM1O8kbEjKAUu2vgyTMoGKGI0N2/oMVnRAAoFdYOEUp19cr0h+w/TaZUdNhrMxsa1pgpbfpmfjAXJ5K259usVxm0sLwcqGvQpgLX85qDumML3GAEMZ+WV6hWNtkBwQTd9YcSCi3mKgXqWvb8unpH6QHSytqDKwU8D/DrzymR529q6c+3xxvaI8haY6eFTYL9gSKztYwsB8W/m7PoMVuVAqaSjCVuDCQ+tYTX0BDwGCqFCRukoKf+4iastpvyivKEQvMm3f7YMpdayfXU5enPWlKc3RQPA9dWR7mqPYBc29O0REPcBAnUZHX2dIvLjwoN7hrZCSos8sBEEh7eXK9arLhlY5GNjNXrOCp69DTKNq4pCO9WmKvMI5MhBekfog491UoV4zJWppoGhx1o+mZa4YEHlsVTde4VeP9FnNTDtD0ZZL3/Qq3qN5rxpn9CKiPpPiOM7+/fv31/vxCwRsaYfZg1qBUl/DHJtR5iRLkoQsy/56N54n9aEpByzZc/Jt9Nf8CYZ4zur2OfW1fNaUSgUn9TUobvvIDStsTxFsLCeFDWk1edivod5C2BJWk2SUZTgRjYMkSa8UqNO1hhiAdNEUmLyysV/zZxjiOavf5xS+lvdGvErQKmwJRuz9aUWBiOgSBupUa4gByPUEbGmFSfJac2VfMu5r/hxDPGdD3GciolclSRJz1Ol1CDsfaBZ7GwbpRERE1Hv//fUOEP0WfZ0hW//1XhARERFdhy3qREREREQ9xECdiIiIiKiH/gPyZHWiIn4nXg+veXdDPGdD3Gciolf1HwDOAkAlnBni9fCadzfEczbEfSYielWc9YWIiIiIqKcYqBMRERER9RADdSIiIiKiHmKg3pGwJdgCQOpDk2yIv94hIqJfJ2DfU/4JG5LmI33kLhERjdDoA/XU1yBJ0tlL8y89IlL4moaLi9GwpD40SYIkFa5t3d+IXpaAXVNmSpIEyb4yNP++p06v32zUELB5LxPRSIw6UBe2BGVrIskyZKVXAnOrXP/QoZEQsBUX0zBDlu3hyE1/ozrCzoOuutsm9bXS/STs5sqwsMsB36ky3Xo7HgO/4jbrKuHVz6ytqBdack/H1K0SPz6pr1VauFV4SbXczJCt9csbEzYkZQuzuH4IGE8K1s+voYEAEVyluZIhbIkt+kQ0CCMO1AV2gQpv4+A89pLhbDyowa7lwZHgEEU4JPm2Ti1MRvC8PaYnS78Qw8JMv/C3W71Ad75qWYhXTzhGVW3drvhwEdW9YYU/wWDiAa5yHvAXl8kyZPtKmVB6P8S0bhtjJuy8QaN6Xm7d3C6A6m3KlV59jdAKsHpCJUhfVyoTiQe1rqJRqGTo6wzh1MX8BStlRDQsIw7UdcysCO687uGfwp+7iKwZGuMzsUMAIP5KAehYHwv70HriLhP13WSB5TMCnKkJE1t81m029bGKPXiX7j3ZwdI63bO30rHwVAS7V4nUU/iruKFB45IARg9TxvJKXQT3o/0a6usQU/eD44yIqNdGHKjnrSaJuYVylmupYGsmLd24x4dXkmF5mPfqIUTNztIcqukViovoFFxoPkTN3/JLXc7RLbaulj/jJ0ARtgTJCIDIzb9vI26S1Rce8PAA5w3vJmqDq/RzC5jveHvo5zVLDrVt9+MkPuDCxPtNTekWwuw8ZUyfWYjcSrkpbBiBCrPLB6U+tE6VgBS+JsFAiCxL4MXGhR4uHbMntfITET3KqAN1AJCd/XeXtvX9YMmwb0lGFraCrZl33errJQ4KZ3fpu9TXoLjT7+v7/aA+Bsyysz92iR+/A3sHes3fZAjYkgGEP13ms6/8YZ/6WnnMQziFe/xu6OsMWWgBqpe/f00u71DJDjZe/PAAR3aWsIJVJTAT+HCnWF4zeEDYMALrumWbpD5WgQpvMeLrVyB2AVTz/SEpL9/0NbLExLaYI24A4RPHgOQV6GIDjAxnX2ioaag46zMLUZ7fSETUSyMM1JtmLDAQfHfVVl+nQDxvkVlNkkIgr2OdTLDiVIw9JvDhAl6yLqQyncYhVAO/a6iYKD//0508gP9wUU4R0Bfw1AAvkyVRIDtLTKutpnfL09W2n8UBoysEbSlqgVEIBgNY4fp82eIydUFb8f05sHmxQcXTt7qDrRmM2SXNRXawLw1ErbkuV23jwrUQNiRJgnJY1jbAnBpqQhj1A5aVCdT4a9TjSoho2EYYqP/kk1//Oj1E8laYs9Z22cH+uIy+zjDmxtJBSr8QY4qzeEN+h6meBgRfS8fCQx6klHJevhCfBS8K3OjenOih0rEOpxfzgDtvtZRWk+Jzi/bW7dJA0ASTVU0gXh1MWr2BT+8nHtTIxYMPqcdSfMV1f28rQ9sC57yho3Zax4ZZd+6mr2uu6fkc76cBpyy7iWhoRhion1yYBz31oXV4YFSnnysG7zQu1Va4n+tuFVJrfl5taVSjpi/gxfU9FspEbU0pUItdFkXyO8xTL0Xn/OlrZnNqW93BPrQQGOw9A/Iyr9tUlXlDR/HeSDwVqpe0z7pDRESNRhyoP1KKz20E3BoA0HPJb5gixlnDdvqJbVROY+lCXx9bWYMVfDR8xkuT4WxMbGuaoOW3KVCbUpC34tanWxy3ubQQrGzYqwDW8peDumM602sMMJSRX6ZXONYGyQHR9I0VByLqrZEH6k15ltJxto/rCFuBOw2ReDGMkc+TPUyndJViS+hpCs5lx3xjAf8sSJviTT5O91kZWCzsSutrdMBLDU2THSxhYL6t/F2fwYpcKJU0FGErcOGhdaymvoCHAEHUdX77K6ZdvSivKEQvMm3f7YMpdayf3aN4cdaXe8YjHbewC5p7d4iIemDkgXrDr+t9/yjGJfmDYDXJZxKQnT2y5QHKpV9RpF8nO/u8InX1FJxNdLxjXqjQbWEmP+MTQqscAOxmhWDl2BprjHx6xip9HWIaVau9OtanmXcK58tAeEXqg4x3U4XqLS4HgqWBog3XvDqY9NKAyNN1fIVrqM9qZtoZinvGIwH5j+LdOUsQEdGTSXEcZ//+/fvr/XiCFL6WD/ZrpHr1v8Yn7HxObFgIG1qNhJ3/SqnqJaPLUZYkCVmW/fVu0C/iNe9uiOesbp9TX8tnTalUcPIpT9v7Ha2wfYBm6muYY3NeRgob0mrysF9DvYWwqzN8ERH1iyRJYw7U6VZDDEDoPrzm3Q3xnNXvc96osTVfJ2gVtgQjbmioISLqCQbqVGuIAQjdh9e8uyGesyHuMxHRq5Ikaew56kREREREw8RAnYiIiIiohxioExERERH1EAN1IiIiIqIe+g/Ik9WJivideD285t0N8ZwNcZ+JiF7V/y3bmfTCkAgIAAAAAElFTkSuQmCC"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image-2.png](attachment:image-2.png)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>start_hour</th>\n",
" <th>start_minute</th>\n",
" <th>ddur_1</th>\n",
" <th>ddur_2</th>\n",
" <th>ddur_3</th>\n",
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" <th>offset</th>\n",
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" </thead>\n",
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" <th>0</th>\n",
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" <th>2</th>\n",
" <td>175</td>\n",
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" <td>153</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>176</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>103</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>169</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>176</td>\n",
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" <td>30</td>\n",
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" <td>190</td>\n",
" <td>185</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>177</td>\n",
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" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>177</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>25</td>\n",
" <td>71</td>\n",
" <td>34</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>170</td>\n",
" <td>33</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>177</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>43</td>\n",
" <td>27</td>\n",
" <td>70</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>177</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>45</td>\n",
" <td>32</td>\n",
" <td>77</td>\n",
" <td>36</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>190</td>\n",
" <td>49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>178</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>178</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>42</td>\n",
" <td>20</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>90</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>178</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>43</td>\n",
" <td>28</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>170</td>\n",
" <td>80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>178</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>44</td>\n",
" <td>36</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>201</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>201</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>36</td>\n",
" <td>18</td>\n",
" <td>58</td>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>132</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>201</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>36</td>\n",
" <td>25</td>\n",
" <td>58</td>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>170</td>\n",
" <td>134</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>201</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>36</td>\n",
" <td>50</td>\n",
" <td>18</td>\n",
" <td>58</td>\n",
" <td>18</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>137</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>202</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>202</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>46</td>\n",
" <td>114</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>202</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>46</td>\n",
" <td>114</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>202</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>48</td>\n",
" <td>122</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>170</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>206</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>206</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>44</td>\n",
" <td>44</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>206</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>53</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>206</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>46</td>\n",
" <td>62</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>210</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>19</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>210</td>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>19</td>\n",
" <td>39</td>\n",
" <td>65</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>170</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>210</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>28</td>\n",
" <td>15</td>\n",
" <td>43</td>\n",
" <td>70</td>\n",
" <td>24</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>137</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>210</td>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>24</td>\n",
" <td>19</td>\n",
" <td>47</td>\n",
" <td>75</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>190</td>\n",
" <td>143</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no start_hour start_minute ddur_1 ddur_2 ddur_3 ddur_4 \\\n",
"0 175 0 0 37 39 25 30 \n",
"1 175 7 0 40 42 29 26 \n",
"2 175 9 0 43 45 33 22 \n",
"3 175 18 30 46 48 37 18 \n",
"4 176 0 0 37 73 40 0 \n",
"5 176 7 0 37 93 40 0 \n",
"6 176 9 0 37 103 40 0 \n",
"7 176 18 30 37 113 40 0 \n",
"8 177 0 0 36 20 68 26 \n",
"9 177 7 0 40 25 71 34 \n",
"10 177 9 0 43 27 70 40 \n",
"11 177 18 30 45 32 77 36 \n",
"12 178 0 0 38 39 40 23 \n",
"13 178 7 0 38 39 42 20 \n",
"14 178 9 0 38 39 43 28 \n",
"15 178 18 30 38 39 44 36 \n",
"16 201 0 0 24 24 17 58 \n",
"17 201 7 0 30 36 18 58 \n",
"18 201 9 0 33 36 25 58 \n",
"19 201 18 30 36 50 18 58 \n",
"20 202 0 0 39 101 0 0 \n",
"21 202 7 0 46 114 0 0 \n",
"22 202 9 0 46 114 0 0 \n",
"23 202 18 30 48 122 0 0 \n",
"24 206 0 0 33 35 26 26 \n",
"25 206 7 0 44 44 26 26 \n",
"26 206 9 0 45 53 26 26 \n",
"27 206 18 30 46 62 26 26 \n",
"28 210 0 0 24 19 29 56 \n",
"29 210 7 0 24 19 39 65 \n",
"30 210 9 0 28 15 43 70 \n",
"31 210 18 30 24 19 47 75 \n",
"\n",
" ddur_5 ddur_6 ddur_7 ddur_8 cycle offset \n",
"0 29 0 0 0 160 57 \n",
"1 33 0 0 0 170 40 \n",
"2 37 0 0 0 180 28 \n",
"3 41 0 0 0 190 18 \n",
"4 0 0 0 0 150 131 \n",
"5 0 0 0 0 170 153 \n",
"6 0 0 0 0 180 169 \n",
"7 0 0 0 0 190 185 \n",
"8 0 0 0 0 150 35 \n",
"9 0 0 0 0 170 33 \n",
"10 0 0 0 0 180 41 \n",
"11 0 0 0 0 190 49 \n",
"12 0 0 0 0 140 50 \n",
"13 21 0 0 0 160 90 \n",
"14 22 0 0 0 170 80 \n",
"15 23 0 0 0 180 75 \n",
"16 17 0 0 0 140 133 \n",
"17 18 0 0 0 160 132 \n",
"18 18 0 0 0 170 134 \n",
"19 18 0 0 0 180 137 \n",
"20 0 0 0 0 140 103 \n",
"21 0 0 0 0 160 103 \n",
"22 0 0 0 0 160 103 \n",
"23 0 0 0 0 170 103 \n",
"24 0 0 0 0 120 10 \n",
"25 0 0 0 0 140 7 \n",
"26 0 0 0 0 150 17 \n",
"27 0 0 0 0 160 10 \n",
"28 22 0 0 0 150 115 \n",
"29 23 0 0 0 170 131 \n",
"30 24 0 0 0 180 137 \n",
"31 25 0 0 0 190 143 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 신호계획\n",
"pd.read_csv('pland.csv', index_col=0)"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>end_unix</th>\n",
" <th>dura_A1</th>\n",
" <th>dura_A2</th>\n",
" <th>dura_A3</th>\n",
" <th>dura_A4</th>\n",
" <th>dura_A5</th>\n",
" <th>dura_A6</th>\n",
" <th>dura_A7</th>\n",
" <th>dura_A8</th>\n",
" <th>dura_B1</th>\n",
" <th>dura_B2</th>\n",
" <th>dura_B3</th>\n",
" <th>dura_B4</th>\n",
" <th>dura_B5</th>\n",
" <th>dura_B6</th>\n",
" <th>dura_B7</th>\n",
" <th>dura_B8</th>\n",
" <th>cycle</th>\n",
" <th>offset</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>206</td>\n",
" <td>1704380520</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>178</td>\n",
" <td>1704380540</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>201</td>\n",
" <td>1704380540</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>202</td>\n",
" <td>1704380540</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>177</td>\n",
" <td>1704380550</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>176</td>\n",
" <td>1704380550</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>210</td>\n",
" <td>1704380550</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>175</td>\n",
" <td>1704380560</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>206</td>\n",
" <td>1704380639</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>202</td>\n",
" <td>1704380680</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>178</td>\n",
" <td>1704380680</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>201</td>\n",
" <td>1704380680</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>177</td>\n",
" <td>1704380700</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>210</td>\n",
" <td>1704380700</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>176</td>\n",
" <td>1704380700</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>175</td>\n",
" <td>1704380720</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>206</td>\n",
" <td>1704380760</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>202</td>\n",
" <td>1704380820</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>178</td>\n",
" <td>1704380820</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>201</td>\n",
" <td>1704380820</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>176</td>\n",
" <td>1704380850</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>210</td>\n",
" <td>1704380850</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>177</td>\n",
" <td>1704380850</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>175</td>\n",
" <td>1704380880</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>206</td>\n",
" <td>1704380881</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>178</td>\n",
" <td>1704380960</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>201</td>\n",
" <td>1704380960</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202</td>\n",
" <td>1704380960</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>210</td>\n",
" <td>1704380999</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>206</td>\n",
" <td>1704381000</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>176</td>\n",
" <td>1704381000</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>177</td>\n",
" <td>1704381001</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>175</td>\n",
" <td>1704381041</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>201</td>\n",
" <td>1704381100</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>178</td>\n",
" <td>1704381100</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>202</td>\n",
" <td>1704381101</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>206</td>\n",
" <td>1704381121</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>176</td>\n",
" <td>1704381150</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>177</td>\n",
" <td>1704381150</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>210</td>\n",
" <td>1704381150</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>175</td>\n",
" <td>1704381200</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>201</td>\n",
" <td>1704381239</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>202</td>\n",
" <td>1704381240</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>178</td>\n",
" <td>1704381240</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>206</td>\n",
" <td>1704381240</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>177</td>\n",
" <td>1704381300</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>210</td>\n",
" <td>1704381300</td>\n",
" <td>43</td>\n",
" <td>29</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>48</td>\n",
" <td>56</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>115</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>176</td>\n",
" <td>1704381300</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>175</td>\n",
" <td>1704381360</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>206</td>\n",
" <td>1704381361</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>201</td>\n",
" <td>1704381380</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>178</td>\n",
" <td>1704381380</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>202</td>\n",
" <td>1704381380</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>176</td>\n",
" <td>1704381450</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>73</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>131</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>177</td>\n",
" <td>1704381450</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>36</td>\n",
" <td>20</td>\n",
" <td>68</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>150</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>206</td>\n",
" <td>1704381480</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>35</td>\n",
" <td>26</td>\n",
" <td>26</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>201</td>\n",
" <td>1704381520</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>24</td>\n",
" <td>17</td>\n",
" <td>58</td>\n",
" <td>17</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>133</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>175</td>\n",
" <td>1704381520</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>55</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>37</td>\n",
" <td>39</td>\n",
" <td>25</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>160</td>\n",
" <td>57</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>202</td>\n",
" <td>1704381520</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>39</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>178</td>\n",
" <td>1704381521</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>39</td>\n",
" <td>40</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>50</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no end_unix dura_A1 dura_A2 dura_A3 dura_A4 dura_A5 \\\n",
"0 206 1704380520 33 35 26 26 0 \n",
"1 178 1704380540 38 39 40 23 0 \n",
"2 201 1704380540 24 24 17 58 17 \n",
"3 202 1704380540 39 101 0 0 0 \n",
"4 177 1704380550 36 20 68 26 0 \n",
"5 176 1704380550 37 73 40 0 0 \n",
"6 210 1704380550 43 29 56 22 0 \n",
"7 175 1704380560 37 39 55 29 0 \n",
"8 206 1704380639 33 35 26 26 0 \n",
"9 202 1704380680 39 101 0 0 0 \n",
"10 178 1704380680 38 39 40 23 0 \n",
"11 201 1704380680 24 24 17 58 17 \n",
"12 177 1704380700 36 20 68 26 0 \n",
"13 210 1704380700 43 29 56 22 0 \n",
"14 176 1704380700 37 73 40 0 0 \n",
"15 175 1704380720 37 39 55 29 0 \n",
"16 206 1704380760 33 35 26 26 0 \n",
"17 202 1704380820 39 101 0 0 0 \n",
"18 178 1704380820 38 39 40 23 0 \n",
"19 201 1704380820 24 24 17 58 17 \n",
"20 176 1704380850 37 73 40 0 0 \n",
"21 210 1704380850 43 29 56 22 0 \n",
"22 177 1704380850 36 20 68 26 0 \n",
"23 175 1704380880 37 39 55 29 0 \n",
"24 206 1704380881 33 35 26 26 0 \n",
"25 178 1704380960 38 39 40 23 0 \n",
"26 201 1704380960 24 24 17 58 17 \n",
"27 202 1704380960 39 101 0 0 0 \n",
"28 210 1704380999 43 29 56 22 0 \n",
"29 206 1704381000 33 35 26 26 0 \n",
"30 176 1704381000 37 73 40 0 0 \n",
"31 177 1704381001 36 20 68 26 0 \n",
"32 175 1704381041 37 39 55 29 0 \n",
"33 201 1704381100 24 24 17 58 17 \n",
"34 178 1704381100 38 39 40 23 0 \n",
"35 202 1704381101 39 101 0 0 0 \n",
"36 206 1704381121 33 35 26 26 0 \n",
"37 176 1704381150 37 73 40 0 0 \n",
"38 177 1704381150 36 20 68 26 0 \n",
"39 210 1704381150 43 29 56 22 0 \n",
"40 175 1704381200 37 39 55 29 0 \n",
"41 201 1704381239 24 24 17 58 17 \n",
"42 202 1704381240 39 101 0 0 0 \n",
"43 178 1704381240 38 39 40 23 0 \n",
"44 206 1704381240 33 35 26 26 0 \n",
"45 177 1704381300 36 20 68 26 0 \n",
"46 210 1704381300 43 29 56 22 0 \n",
"47 176 1704381300 37 73 40 0 0 \n",
"48 175 1704381360 37 39 55 29 0 \n",
"49 206 1704381361 33 35 26 26 0 \n",
"50 201 1704381380 24 24 17 58 17 \n",
"51 178 1704381380 38 39 40 23 0 \n",
"52 202 1704381380 39 101 0 0 0 \n",
"53 176 1704381450 37 73 40 0 0 \n",
"54 177 1704381450 36 20 68 26 0 \n",
"55 206 1704381480 33 35 26 26 0 \n",
"56 201 1704381520 24 24 17 58 17 \n",
"57 175 1704381520 37 39 55 29 0 \n",
"58 202 1704381520 39 101 0 0 0 \n",
"59 178 1704381521 38 39 40 23 0 \n",
"\n",
" dura_A6 dura_A7 dura_A8 dura_B1 dura_B2 dura_B3 dura_B4 dura_B5 \\\n",
"0 0 0 0 33 35 26 26 0 \n",
"1 0 0 0 38 39 40 23 0 \n",
"2 0 0 0 24 24 17 58 17 \n",
"3 0 0 0 39 101 0 0 0 \n",
"4 0 0 0 36 20 68 26 0 \n",
"5 0 0 0 37 73 40 0 0 \n",
"6 0 0 0 24 48 56 22 0 \n",
"7 0 0 0 37 39 25 59 0 \n",
"8 0 0 0 33 35 26 26 0 \n",
"9 0 0 0 39 101 0 0 0 \n",
"10 0 0 0 38 39 40 23 0 \n",
"11 0 0 0 24 24 17 58 17 \n",
"12 0 0 0 36 20 68 26 0 \n",
"13 0 0 0 24 48 56 22 0 \n",
"14 0 0 0 37 73 40 0 0 \n",
"15 0 0 0 37 39 25 59 0 \n",
"16 0 0 0 33 35 26 26 0 \n",
"17 0 0 0 39 101 0 0 0 \n",
"18 0 0 0 38 39 40 23 0 \n",
"19 0 0 0 24 24 17 58 17 \n",
"20 0 0 0 37 73 40 0 0 \n",
"21 0 0 0 24 48 56 22 0 \n",
"22 0 0 0 36 20 68 26 0 \n",
"23 0 0 0 37 39 25 59 0 \n",
"24 0 0 0 33 35 26 26 0 \n",
"25 0 0 0 38 39 40 23 0 \n",
"26 0 0 0 24 24 17 58 17 \n",
"27 0 0 0 39 101 0 0 0 \n",
"28 0 0 0 24 48 56 22 0 \n",
"29 0 0 0 33 35 26 26 0 \n",
"30 0 0 0 37 73 40 0 0 \n",
"31 0 0 0 36 20 68 26 0 \n",
"32 0 0 0 37 39 25 59 0 \n",
"33 0 0 0 24 24 17 58 17 \n",
"34 0 0 0 38 39 40 23 0 \n",
"35 0 0 0 39 101 0 0 0 \n",
"36 0 0 0 33 35 26 26 0 \n",
"37 0 0 0 37 73 40 0 0 \n",
"38 0 0 0 36 20 68 26 0 \n",
"39 0 0 0 24 48 56 22 0 \n",
"40 0 0 0 37 39 25 59 0 \n",
"41 0 0 0 24 24 17 58 17 \n",
"42 0 0 0 39 101 0 0 0 \n",
"43 0 0 0 38 39 40 23 0 \n",
"44 0 0 0 33 35 26 26 0 \n",
"45 0 0 0 36 20 68 26 0 \n",
"46 0 0 0 24 48 56 22 0 \n",
"47 0 0 0 37 73 40 0 0 \n",
"48 0 0 0 37 39 25 59 0 \n",
"49 0 0 0 33 35 26 26 0 \n",
"50 0 0 0 24 24 17 58 17 \n",
"51 0 0 0 38 39 40 23 0 \n",
"52 0 0 0 39 101 0 0 0 \n",
"53 0 0 0 37 73 40 0 0 \n",
"54 0 0 0 36 20 68 26 0 \n",
"55 0 0 0 33 35 26 26 0 \n",
"56 0 0 0 24 24 17 58 17 \n",
"57 0 0 0 37 39 25 59 0 \n",
"58 0 0 0 39 101 0 0 0 \n",
"59 0 0 0 38 39 40 23 0 \n",
"\n",
" dura_B6 dura_B7 dura_B8 cycle offset \n",
"0 0 0 0 120 10 \n",
"1 0 0 0 140 50 \n",
"2 0 0 0 140 133 \n",
"3 0 0 0 140 103 \n",
"4 0 0 0 150 35 \n",
"5 0 0 0 150 131 \n",
"6 0 0 0 150 115 \n",
"7 0 0 0 160 57 \n",
"8 0 0 0 120 10 \n",
"9 0 0 0 140 103 \n",
"10 0 0 0 140 50 \n",
"11 0 0 0 140 133 \n",
"12 0 0 0 150 35 \n",
"13 0 0 0 150 115 \n",
"14 0 0 0 150 131 \n",
"15 0 0 0 160 57 \n",
"16 0 0 0 120 10 \n",
"17 0 0 0 140 103 \n",
"18 0 0 0 140 50 \n",
"19 0 0 0 140 133 \n",
"20 0 0 0 150 131 \n",
"21 0 0 0 150 115 \n",
"22 0 0 0 150 35 \n",
"23 0 0 0 160 57 \n",
"24 0 0 0 120 10 \n",
"25 0 0 0 140 50 \n",
"26 0 0 0 140 133 \n",
"27 0 0 0 140 103 \n",
"28 0 0 0 150 115 \n",
"29 0 0 0 120 10 \n",
"30 0 0 0 150 131 \n",
"31 0 0 0 150 35 \n",
"32 0 0 0 160 57 \n",
"33 0 0 0 140 133 \n",
"34 0 0 0 140 50 \n",
"35 0 0 0 140 103 \n",
"36 0 0 0 120 10 \n",
"37 0 0 0 150 131 \n",
"38 0 0 0 150 35 \n",
"39 0 0 0 150 115 \n",
"40 0 0 0 160 57 \n",
"41 0 0 0 140 133 \n",
"42 0 0 0 140 103 \n",
"43 0 0 0 140 50 \n",
"44 0 0 0 120 10 \n",
"45 0 0 0 150 35 \n",
"46 0 0 0 150 115 \n",
"47 0 0 0 150 131 \n",
"48 0 0 0 160 57 \n",
"49 0 0 0 120 10 \n",
"50 0 0 0 140 133 \n",
"51 0 0 0 140 50 \n",
"52 0 0 0 140 103 \n",
"53 0 0 0 150 131 \n",
"54 0 0 0 150 35 \n",
"55 0 0 0 120 10 \n",
"56 0 0 0 140 133 \n",
"57 0 0 0 160 57 \n",
"58 0 0 0 140 103 \n",
"59 0 0 0 140 50 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 신호이력\n",
"pd.read_csv('history.csv', index_col=0)[:60]"
]
},
{
"attachments": {
"image.png": {
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9Cmm2yDd2UGpuJfwMlmXXGfNrtnahhVlznWEXsgZFF3jBvKEZ3hXf+fsW0ImtZCwJAcmdY3V0X+hLsHcpPumZ+/PFki/MRWRlTxIrSVKU3DqPGPew9ksS77PoUAQejzAZnIm4/g8PZiDZJv2KunmKfuCPBuqjxVlqQy/FiRuLNjmIEmvyjeMpEkAtl/Cg1nVl2o+y/7u1QeQs9VVH6IYOwzxF32e5sU5ccMY1lwI1g5gymKfoixSN/AZq5R6mCW1dPBLaekkYqjJVqa6wGhMHXYRbt11hFwPc2BUo4t7QDO+KP/p9oKLcayLhR0oxUY4pDFd6gudCQdJuXNI29xduoNw/dW0IBie9WPOFW4wqFE12WIpNtLaaQG0joflfQlu0JuU3UPPFWNvtuRPWZ9OPl+SJckDDDA5mCB2bhCRL+hX1fAPHohfNbKGSs47KGq27UtsOK8hAjPfFAudeJJhxP2vEsals9wmQtqH2xZ6BcUl2gVbI/AZqIw+HsYcmatiI3DUjb8WEsaP5Bo51BZq8KhY4t8I6UMu+Tc1ALXvycURKzzTnYIeQtrnfVnDPQ9tsi351Yi1QQnt0iojDUBN7Lgo6jz5w45JH49huL0+IU7jlfNyxlnNSktPA4AS9cpy5iZDJSb+iLsS2PKjeSc2egDCDUylEMvj+mxxJNfkiSvOMKwyqzzxAt1fGDD3mcyKPRqeGrsAEnS+WAI/10cLEaT/Ma2Elamm7ddR3x1n4ZoAdCpV0/P1KI7UT9BIucu63cohKo7BHuR9wpGUc3MpvXCXdqOeQ270hOJhgCB1yiEXbb4mOHt6y6mtfFO8DIcmxQEXd7UaTNWec2bh/AmRNMuJJLew3f73uI7mC4hYnsLD5Fqc51UvcuBJzxadbGPVZtbOEbRWe+ixFo6fsLEccdL6BHcjY6nq+l6pQev5wBKNeQBMqQnM1pW2o0KD14lorR20bEtM+Fmuj0Ev8VBtyQZbnfqdivehcBgP7Wtmdc+NAag/8+TepYpr+WFAYjsCbQ8isubS4qq0Jr816yayQtqGWC5BzmuXSb0uQ2kPoyFnf2Sj67Pol3zjGABUUcrnz78rqAMOl0NItpLaO/ZyMnitFwDpv+EalAMejW/1wPG6Fs5Jyu7Xt8Qq3JsPRleK29VwDlKEOQpSs0bipV3l2/0zgHJwMEqqKDLlQR1EQYmLUC2j2FOipHcLT9Mec+tI3d1ihk6ltUrKc9Pv94dIyUIdlKEN9NoUP1TKGQPhHmU3lMwXAokUgc4Z9Hp8stlmYzAO1PIRnwhqo5WFZHYwpVR8qY+ZBoDwcW0ySzHTuF6MrsNtKHypT122tL1Z36EMlrP10Rdzm0yw+oe0XZe2bc38TsqQAGOb6/f7w5s2bs98RkMyQy+VgjY9Vx0A94AxjZWziVbZgn8cni22WRZkJIWRVyeVyiwx9ISTtLJurnBBCCCFZIqOnvhBCCCGEELLcUFEnhBBCCCEkhVBRJ4QQQgghJIVQUSeEEEIIISSFXAKsrFJCnHBMrB7s8/hksc2yKDMhhKwqlwDwuC7igke4rR7s8/hksc2yKDMhhKwquVyOoS+EEEIIIYSkESrqhBBCCCGEpBAq6oQQQgghhKSQbCjqRh25Sgum93uzhUquDmMRMhFCCCGEEDJDZq+oG3XkcrkxnwpaPi186opRH1tvkJJvoD6xTCZalTH1ijYdZPEEbQizXhchhBBCMsnsFXWpjeFwGPLRoQhuM+oOxVbWgF4TBYeyWx9rRpfQnqDepFD0kLqPG8h7rjdbFeQcD2W2KkIlf/xzLxdGPedqlyyQRZn9WBvd0McQbjbsjWrAJsT1XtufSuCO2L/Zdl7rfWe89YjLTVK+yRG+355nET6fbfiYhUyEEELSR2pDX6S2Q7HVFaCsYuBQdtvSoiWcA4ru21xApkWezAMJ22oZ2m7wWDP2NZRrG+5Np3mALsoo97o4CLrRNa51lJoF34bAUmR3cWPg3uR2sDed9y0h+RLBVc8Aal8Of7fNFiqyBkUf4rjh3eoTQghZRlKrqE/PuNAXGdqiRYyNhPZwABVNFDJvsY2G1B5imLFdWRZlFpHfqAUrtGYLu5qCHY/CaB50gVoHO0oP3UBN2Im9Idh3jGejjkKzBH14DK8+mm+0fd/FIRH5ZkIejY4asoEwUC80UdJXxEhBCCEEQJYU9d4JBrFvUqCHhr+0kb01L4/GjgJo+yuRROt1/49CGlyhAwIrpC+0QLCxGVeGv5xoeQuikIUodaWOfCNQoTUPuugpVc/7Y2CvCdQ28pCqCnrdg0jPOTjpOUtGa1eDos/i3UxCvhmSL6Ik/MFAPSejrw6opBNCyIoxN0XdqDvjXQ3UY5zWYuxrADSIjVoa5JnEb/fQLIQnhS7MqC1VoaCP00xoe8nTaxawhc5FyACa2PLELlsWWU9YgScHwHVNB9iS3T4Ws1VBoVu7CLnSS2gW4p8yFKWutCJVFfSae55nNnHQ7UGperRGYx9auYaNPKwx2mtib1xjmS3samWo23ZZ5gG6vTJuFBJ7hGTlmyXmKfoooejyGJyiVZGhKTrDXQghZAVJiUXduzg5MOqQNQW6rgTEy15Yzf3WpgslPugjTsryJqLqUATW+TDrliZPctoMiYRLacljo1Z2WEctq6k6cFpk7bACbde2iAuuyTfQUcuOSuxrOo7EX2kbajlowxhElLpSjOiZjT00ocKru7pj1iVUFYhDRjT54l3YAjq+EJeQ+SCsLMdHtA9KTr5ZYIW2QN12exK0Jpq9OW0UCCGEpI7FK+rmKfqBPxqoy7YbXGpDL8WJzY6mbCdvpcqjcRwWbpNAyE1omy0/ZY+5NV90BAwIrZIA8huolXs4GQRf4y/H61UpoNkD+nFcGVHqSjXWRsi5SRYnkVqW59rGxbdSNSBEa5REOVBRjmLVDsOXcG19dO+RTouSLwzXJsMKbfHNR4oOXelN5MkhhBCSfRavqOcbOBYprmYLFU9cptSOcDLCKjA4QW/kwiczRJzjsGohCPnGDpRRkmNIEmnPu7GRrZC13aDA/nwDx7oCTXYoofkiSoFhbpOTmHxJ4tlkBI0rqT2AWtYgr/q8RwghK8jiFXUhJlpbTcBnYcqjceyPSV4tbC/Djv8sdgJb0RPE7/tin/3XWLkQY8qZiDF1pR4JVTupVJxEasWsl9WBb1MzUMvhSZt2aM2Fsjz+WMj4JCnfIriY9wpU1gkhZKWYoaLuPh5R1pxx2zI0Yfz4yHJlhY+ILUxhv/nrdR/HGBSzPqp3FvcmGKsu8DIQLxK2VXhCBayNX0/ZsWKN7dNMmlsOpceoY7dfdpVTFYQcGPWYfRaprvRjnZKyhz1REql5gG7Pb2UHxhzxaF2Bxo47YTXf6FhKqeD9MOoT/MfghOVbDHk0jnUovdU5mpUQQshMFfVx/xl0VsclTlPvou4NwJsoVzjBzgqGXsQl3zjGQO07NlYFdGsD19nmUtu2UI6u2a/ieMcdNy61h9AV9wZtvxp/jEapK/VI21ChQRMlke41BVZ2m9FGJSzQ27Zay+cKqJ3nocO3Od6vxk/sTF6+RSGhPVBR1hj+Rwghq0Ku3+8Pb968uWg5JsNsoVI4wU4mz0NPL7lcDsPhcNFikDnCPo9PFtssizITQsiqksvl0hqjHpGgRFRCZkpwmNPCja6EEEIIWRouLVoAQrKHFebUXrQYhBBCCFlqsm1RJ4QQQgghZEmhok4IIYQQQkgKoaJOCCGEEEJICqGiTgghhBBCSAq5BFjHvxDihGNi9WCfxyeLbZZFmQkhZFW5BIDn6hIXPGt59WCfxyeLbZZFmQkhZFXJ/jnqhBBCCCGELClU1AkhhBBCCEkhVNQJIYQQQghJIcuhqBt15CotmN7vzRYquTrm/l/dp6036HkIIYSkj7StQSQc9hfJEItX1I06crncmE8FrcS1VgP1sfWKXtjg+ypRhfQ+c53TAiGETIpRHzeXh8y1mVuDEqi5HmO9inNPZCOTgXpYm4YpzCvYX2S1WbyiLrUxHA5DPjoUwW2uiVnWgF4TBccLM173ldCeoF6LMtSB/57jRn788xp15GRAP79vALUvU1m3MercuKQDa1EK7QrhomyiVckFLtYihSp48fcvjM5rzVYlcKwEKxVJykcWhdmquPpQanvmY12BcJ5uS/7CMrQGGfXgsZs0Sc7F3v6aCvYXWTEWr6hPiGti1hWgrGLgeGlE8/HiMdHa1aDobVyIl0fjWIei7c7AArAizDpUaCVDkSRsq2Vou8HPbexrKNc24Nqemgfoooxyr4uDoBsV3bW4lZoF3yJptirI5XZxw6NodbA33XuSkHxkDgS9d0YdhW4Ng+MGxKYRA3W5D1WvoVuYnYVzEWuQ1B5CLzWxlaXFIrC/emgWAizThSZ6CYvB/iJZJbOK+vSMc2PJ0BKvc4CTXhk3Ct7vC7hRTryyTCK1A6xeZO7kN2rBCq3Zwq6mYMfjRTIPukCtgx2lh26gJuzE3hDsO9Qpo45CswR9eAyvkyrfaPu+i0Mi8pEFYqK124faESvpltV0H9XhMRpSA8fDKvZTG1442RoktXWUmnszD7FIZi4O6y+xZ3o4HGI4UJG+JTHd/UWWl+VR1HsnGMS+SXGEoIg+Tsu3qzKBJcAbE6dB9rnUCrhR7uHEJ+gAJ0mbDzKKN5xhFMJgWVjttnZY2Yy6x43puNd1j6t/rPCHumGHQYTEM4rKF7qEz61/VplhMo+XLyXkG4EKrXnQRU+pet4PA3tNoLaRh1RV0OseRPJCDFyDX+R1Sook5Fsmoo7V0XsiisMNfpfCxvfE77WxhyZq2HBqfY6Y5f2qd962wxWq+zFCHCZkbmuQhKqiYTfKhOGK5/Z7F8L6PSy0LMr9Vv2C/koLaewvQgSkRlE36s4J1EA9RlKGsa8B0CA2eokU5mkRWQK81r+LF/rCKJFHY0eBJnsXOhmasjOVpXCZ6TUL2ELnIqYfF65Eqe1xY9qNbbYqlrv13NVZQtPjBu/v7gEdUd9dICpfqipA/9S1KHnDQNwyW+7PgmMhiyJfGpCqCno+a5CJg24PStWzJBn70Mr2oixVofSa2Bv3QGYLu1oZ6rZdlnmArtDrlABJyLeEjB+ro/fE/l3RIHsmU++7FGV8T/JeC8OtHDHLgQbgCNdkaQ2Sqgp6fouPC7NV8eRDVXHqUBZF7V+IIaDZqtieL7v8DrAlu23Kwv66kGCq0Jdl6y9CgkiNoh5OCcUgJdaoQ9YU6LoSEE8rUphHXLyQQZ/EE8mkNoY6HPUW0CzpDPcIQ9Edibp5bNTKY6yhluXU5W6VtqGWPRNzbXuyzZFUheIKCTGwr5VRc5qNXDJb7s+LeyLKlwZEchl7aEKFV3d1L8oSqgrEISOafPGObQEd30Yp5H0PK8vxkQU+6OTkWzJCx6o/3Ei0UXW/SxHHd+z32qIUeXAkScrWoMINlL194BbK6oOB27vQaATNUVb7+/o1Tvn5BjqqP2BF3F/jEjPDPNpRyFp/ERJM+hV18xT9wB8N1GXbTS61LUtQ5C2wd6LQoQjcWpFOcomLN2vdOxtIbQwDE6VWj7LHvJovlsJvME/R91lrCmj2gP7pxVQ5+YIvoeoMCTH2fR4Rr8yusKeI8qUDawF3LmjiJFLL8uzcrEiWJuy3co2SNQcqylGs2mG4Ej+dVl/PdYuSLwOEjlUbV4iDYBfkepciju/Y7zVMnPoWgyhH5nk/MT1XWVyDzFP0x2x447f/+PLdZYj6aw5ksb8ICSH9inq+gWPRztpsoZKT0VcH57teqW0fdTjzEzqCXXbRLPBj3HQrecpI0ohjCZOaRJ0xzsa+5g8D8eHNQ5itfEmSb+xcWFhDkkh73vdCttzLgbGZ+QaOdU8oWL6IUqBLenISk28lcI5VSxEunOy4T8wYy7zGd5BlVqxETWSpTeUaNIbBSeKnpiTDHDZWWewvQkJIv6IuxERrqwmoA8/En0fj2EKR/twAAAMvSURBVB3rmDzhLrs0KlorR76IEvqYqXFaqkLpnWAAA/uagrF6unmKPuzr5iFfolx4EMRJpFbMelkd+N6HgTomnMEOibhQlscfCxmfJOVbAZxj1diHBgW6w+tnjjOTzmx851EspcXrtMg1CJYiXioGe10LN1Ce+RzjL9+K/R4h6q85bKyEpLy/CAlhgYq6e2cta4Amj/6WoQljwUY76zwax0FKcdhv/nrdRysFxZ/NwqIWEusmCrAl4bgy+C3F0pu8ZtSn6EffCQFWJv9+fR+aT3G1ErUuPKrWInGh4M5AvhljeRD2sCdKIjUP0O35rezAmCMerSvQ2HEnrOYbHSuxTfDeGfUJTsdJWL5lI3SsehU+s4Wt5jhbbYLj2/PeJZuUl901yNjXBCFLThGsE5vcfWCglZQyOip/y7GhNurY7btj1Nlfdgnj+ouQEBaoqEdJJpnFznpR9XoJOeYpkmuZnGNbPeVc7vw4Maltn07hmDz3qxP2o6B8wFqENE0c9lJWddzYdcTnehKGE5VvHkjbUKFBEyWR7jUFVnab0YIeFug9at/ztrUWTnfS9aiN4id2Ji/fchE6VvMNdFRchAxtAZ0I81Mi41v03knVBP85XFbXIMuLJ9p4umppDzFQ+44+2EcxQY+v1LZPihmVv1/F8Y4nzp39haj9RUgg/X5/uLQM1GEZylBPXb36UAGGCPuU1eFgjiI7AbCgmjOGsJ8HQ7WMYVldVO9NBvs8PllsM7fM2RyrA7U8hDJuVteHyiLmfi8zWIN0JVt9xv7KVn+RdAFgmOv3+8ObN28uZpdAUkkul4M1PlYFA/WA/yqn6MHnLputipVk57rARKtSQLfmjYVMN6vX59OTxTZzy5zNsZpduafHqOcg91UMMnUqGPsrW/1F0kQul8OlRQtByOKxXJvtWPeMzhFObbAKIUuKFRrVWLQYC0BqD5GtrSHA/iJkOjJ66gshi8OoW4lEfbWz3P8IhxBCCCELhaEvxEcWXfpkOtjn8clim2VRZkIIWVVyuRwt6oQQQgghhKQRKuqEEEIIIYSkkEuAZVonxAnHxOrBPo9PFtssizITQsiq8n9u1JMkv9ZRygAAAABJRU5ErkJggg=="
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
" <th>node_id</th>\n",
" <th>inter_type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>i0</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>175</td>\n",
" <td>u00</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>176</td>\n",
" <td>i1</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>177</td>\n",
" <td>i2</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>177</td>\n",
" <td>u20</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>178</td>\n",
" <td>i3</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>178</td>\n",
" <td>u30</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>178</td>\n",
" <td>u31</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>178</td>\n",
" <td>u32</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201</td>\n",
" <td>i8</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202</td>\n",
" <td>i9</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>206</td>\n",
" <td>i7</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>210</td>\n",
" <td>i6</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>178</td>\n",
" <td>c30</td>\n",
" <td>child</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no node_id inter_type\n",
"0 175 i0 parent\n",
"1 175 u00 child\n",
"2 176 i1 parent\n",
"3 177 i2 parent\n",
"4 177 u20 child\n",
"5 178 i3 parent\n",
"6 178 u30 child\n",
"7 178 u31 child\n",
"8 178 u32 child\n",
"9 201 i8 parent\n",
"10 202 i9 parent\n",
"11 206 i7 parent\n",
"12 210 i6 parent\n",
"13 178 c30 child"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 교차로번호 - 노드id 매칭\n",
"pd.read_csv('inter_node.csv', index_col=0)"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>parent_id</th>\n",
" <th>child_id</th>\n",
" <th>direction</th>\n",
" <th>condition</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>i0</td>\n",
" <td>u00</td>\n",
" <td>북</td>\n",
" <td>좌회전시</td>\n",
" <td>571500487_02</td>\n",
" <td>571500487_01.32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>i2</td>\n",
" <td>u20</td>\n",
" <td>북</td>\n",
" <td>보행신호시</td>\n",
" <td>571542810_01.51</td>\n",
" <td>571542810_02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>i3</td>\n",
" <td>u30</td>\n",
" <td>북</td>\n",
" <td>보행신호시</td>\n",
" <td>571556452_01</td>\n",
" <td>571556452_02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>i3</td>\n",
" <td>u31</td>\n",
" <td>동</td>\n",
" <td>보행신호시</td>\n",
" <td>571500475_02</td>\n",
" <td>571500475_01.26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>i3</td>\n",
" <td>u32</td>\n",
" <td>서</td>\n",
" <td>보행신호시</td>\n",
" <td>571540303_02</td>\n",
" <td>-571540303_02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>i6</td>\n",
" <td>u60</td>\n",
" <td>서</td>\n",
" <td>직좌시</td>\n",
" <td>571500535_02</td>\n",
" <td>-571500535_02</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" parent_id child_id direction condition inc_edge out_edge\n",
"0 i0 u00 북 좌회전시 571500487_02 571500487_01.32\n",
"1 i2 u20 북 보행신호시 571542810_01.51 571542810_02\n",
"2 i3 u30 북 보행신호시 571556452_01 571556452_02\n",
"3 i3 u31 동 보행신호시 571500475_02 571500475_01.26\n",
"4 i3 u32 서 보행신호시 571540303_02 -571540303_02\n",
"5 i6 u60 서 직좌시 571500535_02 -571500535_02"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 유턴교차로 정보\n",
"pd.read_csv('child_uturn.csv')"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>parent_id</th>\n",
" <th>child_id</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>571542116_01</td>\n",
" <td>-571542116_02.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>571542116_02.96</td>\n",
" <td>571542116_02.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>571542116_01</td>\n",
" <td>-571542116_02.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>571542116_02.96</td>\n",
" <td>571542116_02.164</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>571542116_01</td>\n",
" <td>-571542116_02.96</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>i3</td>\n",
" <td>c30</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>571542116_02.96</td>\n",
" <td>571542116_02.164</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" parent_id child_id phase_no ring_type inc_edge out_edge\n",
"0 i3 c30 1 A NaN NaN\n",
"1 i3 c30 1 B NaN NaN\n",
"2 i3 c30 2 A 571542116_01 -571542116_02.96\n",
"3 i3 c30 2 B 571542116_02.96 571542116_02.164\n",
"4 i3 c30 3 A 571542116_01 -571542116_02.96\n",
"5 i3 c30 3 B 571542116_02.96 571542116_02.164\n",
"6 i3 c30 4 A 571542116_01 -571542116_02.96\n",
"7 i3 c30 4 B 571542116_02.96 571542116_02.164"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 연동교차로 정보\n",
"pd.read_csv('child_coord.csv')"
]
},
{
"attachments": {
"image.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"metadata": {},
"source": [
"![image.png](attachment:image.png)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "rts",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}