diff --git a/caly_kod.ipynb b/caly_kod.ipynb
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index 0000000000000000000000000000000000000000..fb7a0a23b4b5ede0efa6d70af29d7db376039110
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+++ b/caly_kod.ipynb
@@ -0,0 +1,796 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "701f81d9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import datetime"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "59df07fd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
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+ " vertical-align: middle;\n",
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+ " vertical-align: top;\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>PROXIMITY</th>\n",
+ " <th>TIMESTAMP</th>\n",
+ " <th>MEASUREMENT</th>\n",
+ " <th>StyleColor</th>\n",
+ " <th>ITEMID</th>\n",
+ " <th>EPC</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>-70.4</td>\n",
+ " <td>2021-10-26T09:46:33.735</td>\n",
+ " <td>1</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>-61.8</td>\n",
+ " <td>2021-10-26T09:46:33.747</td>\n",
+ " <td>1</td>\n",
+ " <td>RS483-99X</td>\n",
+ " <td>2217401</td>\n",
+ " <td>303568480C2B874000B59A39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>-74.4</td>\n",
+ " <td>2021-10-26T09:46:33.751</td>\n",
+ " <td>1</td>\n",
+ " <td>SB281-90M</td>\n",
+ " <td>2227511</td>\n",
+ " <td>303568480C357A0000B59999</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>-78.0</td>\n",
+ " <td>2021-10-26T09:46:33.754</td>\n",
+ " <td>1</td>\n",
+ " <td>RJ369-87X</td>\n",
+ " <td>2104706</td>\n",
+ " <td>30356847541DA78000B5BA4D</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>-71.1</td>\n",
+ " <td>2021-10-26T09:46:33.758</td>\n",
+ " <td>1</td>\n",
+ " <td>RM119-93X</td>\n",
+ " <td>2117629</td>\n",
+ " <td>30356847542A2B0000B5B215</td>\n",
+ " </tr>\n",
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+ " <td>...</td>\n",
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+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9490</th>\n",
+ " <td>-78.0</td>\n",
+ " <td>2021-10-26T09:48:17.687</td>\n",
+ " <td>1</td>\n",
+ " <td>RJ365-09M</td>\n",
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+ " <td>-78.9</td>\n",
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+ " <td>1</td>\n",
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+ " <td>2021-10-26T09:48:17.689</td>\n",
+ " <td>1</td>\n",
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+ " <td>2155603</td>\n",
+ " <td>3035684754501E0000B59704</td>\n",
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+ " <td>1</td>\n",
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+ " <td>303568475450208000B5B622</td>\n",
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+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>9495 rows Ă 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PROXIMITY TIMESTAMP MEASUREMENT StyleColor ITEMID \\\n",
+ "0 -70.4 2021-10-26T09:46:33.735 1 RH267-85J 2127269 \n",
+ "1 -61.8 2021-10-26T09:46:33.747 1 RS483-99X 2217401 \n",
+ "2 -74.4 2021-10-26T09:46:33.751 1 SB281-90M 2227511 \n",
+ "3 -78.0 2021-10-26T09:46:33.754 1 RJ369-87X 2104706 \n",
+ "4 -71.1 2021-10-26T09:46:33.758 1 RM119-93X 2117629 \n",
+ "... ... ... ... ... ... \n",
+ "9490 -78.0 2021-10-26T09:48:17.687 1 RJ365-09M 2118851 \n",
+ "9491 -78.9 2021-10-26T09:48:17.688 1 RJ365-09M 2118847 \n",
+ "9492 -88.4 2021-10-26T09:48:17.689 1 RH797-59X 2155603 \n",
+ "9493 -80.5 2021-10-26T09:48:17.690 1 RH797-99X 2155613 \n",
+ "9494 -78.0 2021-10-26T09:48:17.691 1 RM119-93X 2117629 \n",
+ "\n",
+ " EPC \n",
+ "0 3035684754340E0000B594FD \n",
+ "1 303568480C2B874000B59A39 \n",
+ "2 303568480C357A0000B59999 \n",
+ "3 30356847541DA78000B5BA4D \n",
+ "4 30356847542A2B0000B5B215 \n",
+ "... ... \n",
+ "9490 30356847542B6DC000B5B6BD \n",
+ "9491 30356847542B6CC000B5B642 \n",
+ "9492 3035684754501E0000B59704 \n",
+ "9493 303568475450208000B5B622 \n",
+ "9494 30356847542A2B0000B5B21C \n",
+ "\n",
+ "[9495 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df = pd.read_csv('C:/Users/student/Documents/query.csv', sep = ';')\n",
+ "df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "3037720f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>timestamp</th>\n",
+ " <th>hour</th>\n",
+ " <th>minute</th>\n",
+ " <th>second</th>\n",
+ " <th>microsecond</th>\n",
+ " <th>delta_ms</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>2021-10-26 09:46:33.735</td>\n",
+ " <td>9</td>\n",
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+ " <th>1</th>\n",
+ " <td>2021-10-26 09:46:33.747</td>\n",
+ " <td>9</td>\n",
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+ " <td>9</td>\n",
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+ " <td>2021-10-26 09:46:33.754</td>\n",
+ " <td>9</td>\n",
+ " <td>46</td>\n",
+ " <td>33</td>\n",
+ " <td>754000</td>\n",
+ " <td>19.0</td>\n",
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+ " <td>2021-10-26 09:46:33.758</td>\n",
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+ " <td>2021-10-26 09:48:17.687</td>\n",
+ " <td>9</td>\n",
+ " <td>48</td>\n",
+ " <td>17</td>\n",
+ " <td>687000</td>\n",
+ " <td>103952.0</td>\n",
+ " </tr>\n",
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+ " <th>9491</th>\n",
+ " <td>2021-10-26 09:48:17.688</td>\n",
+ " <td>9</td>\n",
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+ " <td>688000</td>\n",
+ " <td>103953.0</td>\n",
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+ " <th>9492</th>\n",
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+ " <td>9</td>\n",
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+ " <td>17</td>\n",
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+ " <td>103954.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9493</th>\n",
+ " <td>2021-10-26 09:48:17.690</td>\n",
+ " <td>9</td>\n",
+ " <td>48</td>\n",
+ " <td>17</td>\n",
+ " <td>690000</td>\n",
+ " <td>103955.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9494</th>\n",
+ " <td>2021-10-26 09:48:17.691</td>\n",
+ " <td>9</td>\n",
+ " <td>48</td>\n",
+ " <td>17</td>\n",
+ " <td>691000</td>\n",
+ " <td>103956.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>9495 rows Ă 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " timestamp hour minute second microsecond delta_ms\n",
+ "0 2021-10-26 09:46:33.735 9 46 33 735000 0.0\n",
+ "1 2021-10-26 09:46:33.747 9 46 33 747000 12.0\n",
+ "2 2021-10-26 09:46:33.751 9 46 33 751000 16.0\n",
+ "3 2021-10-26 09:46:33.754 9 46 33 754000 19.0\n",
+ "4 2021-10-26 09:46:33.758 9 46 33 758000 23.0\n",
+ "... ... ... ... ... ... ...\n",
+ "9490 2021-10-26 09:48:17.687 9 48 17 687000 103952.0\n",
+ "9491 2021-10-26 09:48:17.688 9 48 17 688000 103953.0\n",
+ "9492 2021-10-26 09:48:17.689 9 48 17 689000 103954.0\n",
+ "9493 2021-10-26 09:48:17.690 9 48 17 690000 103955.0\n",
+ "9494 2021-10-26 09:48:17.691 9 48 17 691000 103956.0\n",
+ "\n",
+ "[9495 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "timestamp1 = df[\"TIMESTAMP\"].astype('datetime64[ns]')\n",
+ "\n",
+ "hour = timestamp1.astype('datetime64[ns]').dt.hour.astype(int)\n",
+ "minute = timestamp1.astype('datetime64[ns]').dt.minute.astype(int)\n",
+ "second = timestamp1.astype('datetime64[ns]').dt.second.astype(int)\n",
+ "microsecond = timestamp1.astype('datetime64[ns]').dt.microsecond.astype(int)\n",
+ "\n",
+ "millisecond = microsecond/1000+second*1000+minute*60000+hour*3600000\n",
+ "delta_ms = millisecond - millisecond[0]\n",
+ "delta_ms\n",
+ "\n",
+ "timestamp = pd.DataFrame()\n",
+ "timestamp = pd.concat([timestamp1, hour, minute, second, microsecond, delta_ms], axis = 1)\n",
+ "timestamp.columns = ['timestamp', 'hour', 'minute', 'second', 'microsecond', 'delta_ms']\n",
+ "\n",
+ "timestamp"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "ed8c8757",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = df.drop('TIMESTAMP',1)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "9acb9840",
+ "metadata": {},
+ "outputs": [
+ {
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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>PROXIMITY</th>\n",
+ " <th>MEASUREMENT</th>\n",
+ " <th>StyleColor</th>\n",
+ " <th>ITEMID</th>\n",
+ " <th>EPC</th>\n",
+ " <th>DELTA_MS</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
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+ " <td>0.0</td>\n",
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+ " <td>303568480C2B874000B59A39</td>\n",
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+ " <th>2</th>\n",
+ " <td>-74.4</td>\n",
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+ " <td>1</td>\n",
+ " <td>RJ369-87X</td>\n",
+ " <td>2104706</td>\n",
+ " <td>30356847541DA78000B5BA4D</td>\n",
+ " <td>19.0</td>\n",
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+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>-71.1</td>\n",
+ " <td>1</td>\n",
+ " <td>RM119-93X</td>\n",
+ " <td>2117629</td>\n",
+ " <td>30356847542A2B0000B5B215</td>\n",
+ " <td>23.0</td>\n",
+ " </tr>\n",
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+ " <th>9490</th>\n",
+ " <td>-78.0</td>\n",
+ " <td>1</td>\n",
+ " <td>RJ365-09M</td>\n",
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+ " <td>30356847542B6DC000B5B6BD</td>\n",
+ " <td>103952.0</td>\n",
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+ " <td>-78.9</td>\n",
+ " <td>1</td>\n",
+ " <td>RJ365-09M</td>\n",
+ " <td>2118847</td>\n",
+ " <td>30356847542B6CC000B5B642</td>\n",
+ " <td>103953.0</td>\n",
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+ " <tr>\n",
+ " <th>9492</th>\n",
+ " <td>-88.4</td>\n",
+ " <td>1</td>\n",
+ " <td>RH797-59X</td>\n",
+ " <td>2155603</td>\n",
+ " <td>3035684754501E0000B59704</td>\n",
+ " <td>103954.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9493</th>\n",
+ " <td>-80.5</td>\n",
+ " <td>1</td>\n",
+ " <td>RH797-99X</td>\n",
+ " <td>2155613</td>\n",
+ " <td>303568475450208000B5B622</td>\n",
+ " <td>103955.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9494</th>\n",
+ " <td>-78.0</td>\n",
+ " <td>1</td>\n",
+ " <td>RM119-93X</td>\n",
+ " <td>2117629</td>\n",
+ " <td>30356847542A2B0000B5B21C</td>\n",
+ " <td>103956.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>9495 rows Ă 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PROXIMITY MEASUREMENT StyleColor ITEMID EPC \\\n",
+ "0 -70.4 1 RH267-85J 2127269 3035684754340E0000B594FD \n",
+ "1 -61.8 1 RS483-99X 2217401 303568480C2B874000B59A39 \n",
+ "2 -74.4 1 SB281-90M 2227511 303568480C357A0000B59999 \n",
+ "3 -78.0 1 RJ369-87X 2104706 30356847541DA78000B5BA4D \n",
+ "4 -71.1 1 RM119-93X 2117629 30356847542A2B0000B5B215 \n",
+ "... ... ... ... ... ... \n",
+ "9490 -78.0 1 RJ365-09M 2118851 30356847542B6DC000B5B6BD \n",
+ "9491 -78.9 1 RJ365-09M 2118847 30356847542B6CC000B5B642 \n",
+ "9492 -88.4 1 RH797-59X 2155603 3035684754501E0000B59704 \n",
+ "9493 -80.5 1 RH797-99X 2155613 303568475450208000B5B622 \n",
+ "9494 -78.0 1 RM119-93X 2117629 30356847542A2B0000B5B21C \n",
+ "\n",
+ " DELTA_MS \n",
+ "0 0.0 \n",
+ "1 12.0 \n",
+ "2 16.0 \n",
+ "3 19.0 \n",
+ "4 23.0 \n",
+ "... ... \n",
+ "9490 103952.0 \n",
+ "9491 103953.0 \n",
+ "9492 103954.0 \n",
+ "9493 103955.0 \n",
+ "9494 103956.0 \n",
+ "\n",
+ "[9495 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df['DELTA_MS'] = timestamp['delta_ms']\n",
+ "df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "330dd3cf",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
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+ " }\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>PROXIMITY</th>\n",
+ " <th>MEASUREMENT</th>\n",
+ " <th>StyleColor</th>\n",
+ " <th>ITEMID</th>\n",
+ " <th>EPC</th>\n",
+ " <th>DELTA_MS</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>138</th>\n",
+ " <td>-65.1</td>\n",
+ " <td>1.0</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269.0</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " <td>1131.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>451</th>\n",
+ " <td>-68.4</td>\n",
+ " <td>1.0</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269.0</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " <td>3529.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>537</th>\n",
+ " <td>-67.9</td>\n",
+ " <td>1.0</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269.0</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " <td>4208.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>751</th>\n",
+ " <td>-66.8</td>\n",
+ " <td>1.0</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269.0</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " <td>5995.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>845</th>\n",
+ " <td>-64.3</td>\n",
+ " <td>1.0</td>\n",
+ " <td>RH267-85J</td>\n",
+ " <td>2127269.0</td>\n",
+ " <td>3035684754340E0000B594FD</td>\n",
+ " <td>6746.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7980</th>\n",
+ " <td>-78.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>SP095-59X</td>\n",
+ " <td>2303066.0</td>\n",
+ " <td>30356849FC1D878000B5B2E3</td>\n",
+ " <td>85343.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8123</th>\n",
+ " <td>-75.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>SP095-59X</td>\n",
+ " <td>2303066.0</td>\n",
+ " <td>30356849FC1D878000B5B2E3</td>\n",
+ " <td>87427.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8170</th>\n",
+ " <td>-75.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>SP095-59X</td>\n",
+ " <td>2303066.0</td>\n",
+ " <td>30356849FC1D878000B5B2E3</td>\n",
+ " <td>88423.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8256</th>\n",
+ " <td>-78.9</td>\n",
+ " <td>1.0</td>\n",
+ " <td>SP095-59X</td>\n",
+ " <td>2303066.0</td>\n",
+ " <td>30356849FC1D878000B5B2E3</td>\n",
+ " <td>89595.0</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>8324</th>\n",
+ " <td>-84.0</td>\n",
+ " <td>1.0</td>\n",
+ " <td>SP095-59X</td>\n",
+ " <td>2303066.0</td>\n",
+ " <td>30356849FC1D878000B5B2E3</td>\n",
+ " <td>90174.0</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>3025 rows Ă 6 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PROXIMITY MEASUREMENT StyleColor ITEMID EPC \\\n",
+ "138 -65.1 1.0 RH267-85J 2127269.0 3035684754340E0000B594FD \n",
+ "451 -68.4 1.0 RH267-85J 2127269.0 3035684754340E0000B594FD \n",
+ "537 -67.9 1.0 RH267-85J 2127269.0 3035684754340E0000B594FD \n",
+ "751 -66.8 1.0 RH267-85J 2127269.0 3035684754340E0000B594FD \n",
+ "845 -64.3 1.0 RH267-85J 2127269.0 3035684754340E0000B594FD \n",
+ "... ... ... ... ... ... \n",
+ "7980 -78.0 1.0 SP095-59X 2303066.0 30356849FC1D878000B5B2E3 \n",
+ "8123 -75.0 1.0 SP095-59X 2303066.0 30356849FC1D878000B5B2E3 \n",
+ "8170 -75.0 1.0 SP095-59X 2303066.0 30356849FC1D878000B5B2E3 \n",
+ "8256 -78.9 1.0 SP095-59X 2303066.0 30356849FC1D878000B5B2E3 \n",
+ "8324 -84.0 1.0 SP095-59X 2303066.0 30356849FC1D878000B5B2E3 \n",
+ "\n",
+ " DELTA_MS \n",
+ "138 1131.0 \n",
+ "451 3529.0 \n",
+ "537 4208.0 \n",
+ "751 5995.0 \n",
+ "845 6746.0 \n",
+ "... ... \n",
+ "7980 85343.0 \n",
+ "8123 87427.0 \n",
+ "8170 88423.0 \n",
+ "8256 89595.0 \n",
+ "8324 90174.0 \n",
+ "\n",
+ "[3025 rows x 6 columns]"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df1 = pd.DataFrame().reindex_like(df).iloc[0:0]\n",
+ "\n",
+ "for epecek in df['EPC'].unique():\n",
+ " \n",
+ " for i in range(0,int(df[df['EPC'] == epecek]['DELTA_MS'].max()),1000 ):\n",
+ " \n",
+ " w1 = df[df['EPC'] == epecek][ df[df['EPC'] == epecek][df[df['EPC'] == epecek]['DELTA_MS'].between(i, i+2000) ]['PROXIMITY'].max() == df[df['EPC'] == epecek]['PROXIMITY'] ]\n",
+ " \n",
+ " df1 = df1.append(w1[w1['DELTA_MS'].between(i, i+2000) ].iloc[0:1])\n",
+ " \n",
+ "df1.drop_duplicates(inplace=True)\n",
+ "df1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "76467991",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df1 = df1.reset_index()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "fe0d5470",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "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": "3.8.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}