2021-04-17 09:37:58 +00:00
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{
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"cells": [
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{
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"cell_type": "code",
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2021-05-22 14:18:14 +00:00
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"execution_count": 1,
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2021-05-22 10:44:42 +00:00
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"id": "955392b1",
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2021-04-17 09:37:58 +00:00
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import sys\n",
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"import glob\n",
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"import pandas as pd\n",
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"import seaborn as sns\n",
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"import matplotlib as mpl\n",
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"import matplotlib.pyplot as plt\n",
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2021-05-22 10:44:42 +00:00
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"import numpy as np\n",
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"import itertools"
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2021-04-17 09:37:58 +00:00
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]
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},
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{
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"cell_type": "code",
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2021-05-22 14:18:14 +00:00
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"execution_count": 2,
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2021-05-22 10:44:42 +00:00
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"id": "28b395b2",
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2021-04-17 09:37:58 +00:00
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"metadata": {},
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"outputs": [],
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"source": [
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2021-05-22 10:44:42 +00:00
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"DIR = \"/home/claudio/hdd/git/bachelorThesis/figure_7/\""
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2021-04-17 09:37:58 +00:00
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]
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},
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{
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"cell_type": "code",
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2021-05-22 14:18:14 +00:00
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"execution_count": 3,
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2021-05-22 10:44:42 +00:00
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"id": "92c38cf8",
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2021-04-17 09:37:58 +00:00
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"metadata": {},
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"outputs": [],
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"source": [
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2021-05-20 15:30:06 +00:00
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"def tier(p):\n",
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" if p <= 99:\n",
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" return \"Free\"\n",
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" elif p <= 115:\n",
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2021-05-20 18:13:11 +00:00
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" return \"Best effort\"\n",
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2021-05-20 15:30:06 +00:00
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" elif p <= 119:\n",
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" return \"Mid\"\n",
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" elif p <= 359:\n",
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" return \"Production\"\n",
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" else:\n",
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" return \"Monitoring\"\n",
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"\n",
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2021-05-22 08:55:53 +00:00
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"def categorical_plot(df, key, title, sorted_xs = None): \n",
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2021-04-17 09:37:58 +00:00
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" if sorted_xs == None:\n",
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" xs = set()\n",
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" lines = []\n",
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2021-05-20 15:30:06 +00:00
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" for t in [4,5,6,7]:\n",
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2021-05-12 12:15:49 +00:00
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" xs = xs.union(np.array(df[df[\"term\"] == t][key]).reshape(-1))\n",
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2021-04-17 09:37:58 +00:00
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" xs = [str(x) for x in sorted(xs)]\n",
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" else:\n",
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" xs = sorted_xs\n",
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" \n",
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2021-05-20 18:13:11 +00:00
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" plt.figure(figsize=(4,3))\n",
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2021-04-17 09:37:58 +00:00
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" ax = plt.gca()\n",
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" lines = []\n",
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2021-05-20 15:30:06 +00:00
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" for t in [4,5,6,7]:\n",
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2021-04-17 09:37:58 +00:00
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" ys = []\n",
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2021-05-20 15:30:06 +00:00
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" if xs[0] == \"-1\":\n",
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" del xs[0]\n",
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2021-04-17 09:37:58 +00:00
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" for x in xs:\n",
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2021-05-20 15:30:06 +00:00
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" partsum = df[(df[\"term\"] != -1) & (df[key] == x)][\"count\"].sum().astype(int)\n",
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" y = df[(df[\"term\"] == t) & (df[key] == x)][\"count\"]\n",
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" ys.append(100 * ((y.values.astype(int)[0] / partsum if partsum > 0 else y.values.astype(int)[0]) if y.any()\n",
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" else 0))\n",
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2021-04-17 09:37:58 +00:00
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" lines.append(ax.plot(xs,ys, marker='.')[0])\n",
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"\n",
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2021-05-20 18:13:11 +00:00
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" if key == \"tier\":\n",
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" plt.xlabel(\"Tier\")\n",
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2021-05-22 14:18:14 +00:00
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" elif key == \"priority\":\n",
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" plt.xlabel(\"2011 priority\")\n",
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2021-05-20 18:13:11 +00:00
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" elif key == \"exectime\":\n",
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" plt.xlabel(\"Execution time\")\n",
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" else:\n",
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" plt.xlabel(\"Machine concurrency\")\n",
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" \n",
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" plt.ylabel(\"Event rate [%]\")\n",
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2021-04-17 09:37:58 +00:00
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" plt.xticks(xs)\n",
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2021-05-20 18:13:11 +00:00
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" lgd = plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\"], loc=\"best\",\n",
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2021-04-17 09:37:58 +00:00
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" bbox_to_anchor=(1,1))\n",
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2021-05-20 18:13:11 +00:00
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" plt.title(title) \n",
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2021-05-20 15:30:06 +00:00
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" plt.savefig('../report/figures/figure_7/%s-%s.pgf' % \n",
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2021-05-20 18:13:11 +00:00
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" (key.replace(\"_\", \"\"), cluster), bbox_extra_artists=(lgd,), bbox_inches='tight')\n",
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2021-04-17 09:37:58 +00:00
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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2021-05-22 14:18:14 +00:00
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"execution_count": 4,
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2021-05-22 10:44:42 +00:00
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"id": "f3bb92de-1280-4a5d-ac4b-f6190b0372ac",
|
2021-04-17 09:37:58 +00:00
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"metadata": {},
|
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"outputs": [
|
2021-04-17 10:50:40 +00:00
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{
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"data": {
|
2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 10:50:40 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 10:50:40 +00:00
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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},
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 10:50:40 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 10:50:40 +00:00
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]
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},
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"metadata": {
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2021-04-18 20:15:26 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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2021-04-18 20:15:26 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-18 20:15:26 +00:00
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]
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},
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"metadata": {
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},
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"output_type": "display_data"
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},
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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"data": {
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2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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"output_type": "display_data"
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},
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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2021-04-17 09:37:58 +00:00
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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"metadata": {
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},
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"output_type": "display_data"
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},
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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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},
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"output_type": "display_data"
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},
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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2021-04-17 09:37:58 +00:00
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"data": {
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2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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"output_type": "display_data"
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},
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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"metadata": {
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"output_type": "display_data"
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},
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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"output_type": "display_data"
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},
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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"metadata": {
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},
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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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"output_type": "display_data"
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},
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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2021-04-20 07:15:19 +00:00
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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]
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},
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"metadata": {
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"output_type": "display_data"
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},
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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-22 10:44:42 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"data": {
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2021-05-22 10:44:42 +00:00
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"image/png": "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2021-04-17 09:37:58 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-04-17 09:37:58 +00:00
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]
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},
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"metadata": {
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},
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"output_type": "display_data"
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2021-04-20 07:15:19 +00:00
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},
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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2021-05-20 15:30:06 +00:00
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"text/plain": [
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2021-05-20 18:13:11 +00:00
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"<Figure size 288x216 with 1 Axes>"
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2021-05-20 15:30:06 +00:00
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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2021-04-17 09:37:58 +00:00
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}
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],
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"source": [
|
2021-05-20 15:30:06 +00:00
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|
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"dfatot = None\n",
|
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|
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"dfbtot = None\n",
|
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|
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"dfctot = None\n",
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"\n",
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2021-04-17 10:50:40 +00:00
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|
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"for cluster in \"abcdefgh\":\n",
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2021-04-17 09:37:58 +00:00
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|
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" # Processing figure 7a\n",
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" \n",
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|
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" dfa = pd.read_csv(glob.glob(DIR + cluster + \"_priority/part-*\")[0], header=None,\n",
|
|
|
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" names=[\"term\", \"priority\", \"count\"])\n",
|
2021-05-20 15:30:06 +00:00
|
|
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" dfa[\"tier\"] = dfa[\"priority\"].apply(tier)\n",
|
|
|
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" dfa = dfa[dfa[\"priority\"].ge(0)]\n",
|
|
|
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" dfa = dfa.groupby([\"tier\", \"term\"]).sum().reset_index()\n",
|
|
|
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" dfa = dfa[dfa[\"term\"].isin(range(4,8))]\n",
|
|
|
|
" del dfa[\"priority\"]\n",
|
|
|
|
" if dfatot is None:\n",
|
|
|
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" dfatot = dfa\n",
|
|
|
|
" else:\n",
|
2021-05-22 14:18:14 +00:00
|
|
|
" dfatot = dfatot.append(dfa)\n",
|
2021-04-17 09:37:58 +00:00
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" \n",
|
2021-05-20 18:13:11 +00:00
|
|
|
" xs = [\"Free\", \"Best effort\", \"Mid\", \"Production\", \"Monitoring\"]\n",
|
|
|
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" categorical_plot(dfa, \"tier\", \"Cluster \" + cluster.upper(), xs)\n",
|
2021-04-17 09:37:58 +00:00
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|
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" \n",
|
|
|
|
" # Processing figure 7b\n",
|
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|
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" \n",
|
|
|
|
" dfb = pd.read_csv(glob.glob(DIR + cluster + \"_exectime/part-*\")[0], header=None,\n",
|
|
|
|
" names=[\"term\", \"ignore\", \"exectime\", \"count\"])\n",
|
|
|
|
" del dfb[\"ignore\"]\n",
|
|
|
|
" dfb = dfb.sort_values([\"term\", \"exectime\"])\n",
|
2021-05-20 15:30:06 +00:00
|
|
|
" if dfbtot is None:\n",
|
|
|
|
" dfbtot = dfb\n",
|
|
|
|
" else:\n",
|
2021-05-22 14:18:14 +00:00
|
|
|
" dfbtot = dfbtot.append(dfb)\n",
|
2021-04-17 09:37:58 +00:00
|
|
|
" \n",
|
|
|
|
" xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
|
2021-05-20 18:13:11 +00:00
|
|
|
" categorical_plot(dfb, \"exectime\", \"Cluster \" + cluster.upper(), xs)\n",
|
2021-04-18 20:15:26 +00:00
|
|
|
"\n",
|
|
|
|
" # Processing figure 7c\n",
|
2021-04-17 09:37:58 +00:00
|
|
|
" \n",
|
2021-05-22 14:18:14 +00:00
|
|
|
" bins = [\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"]\n",
|
|
|
|
" bin_max = [3, 5, 7, 9, 11, 13]\n",
|
2021-05-12 12:15:49 +00:00
|
|
|
" def map_bins(value):\n",
|
|
|
|
" for i, m in enumerate(bin_max):\n",
|
|
|
|
" if value < m:\n",
|
|
|
|
" return bins[i-1]\n",
|
|
|
|
" return bins[-1]\n",
|
|
|
|
" \n",
|
2021-04-20 07:15:19 +00:00
|
|
|
" dfc = pd.read_csv(DIR + cluster + \"_figure7c.csv\", header=0)\n",
|
|
|
|
" dfc = dfc.sort_values([\"term\", \"n_exec\"])\n",
|
2021-05-22 14:18:14 +00:00
|
|
|
" dfc = dfc[dfc[\"n_exec\"] > 0]\n",
|
2021-05-12 12:15:49 +00:00
|
|
|
" dfc[\"n_exec\"] = dfc[\"n_exec\"].map(map_bins)\n",
|
|
|
|
" dfc = dfc.groupby([\"term\", \"n_exec\"]).sum().reset_index()\n",
|
2021-05-20 18:13:11 +00:00
|
|
|
" categorical_plot(dfc, \"n_exec\", \"Cluster \" + cluster.upper())\n",
|
2021-05-20 15:30:06 +00:00
|
|
|
" if dfctot is None:\n",
|
|
|
|
" dfctot = dfc\n",
|
|
|
|
" else:\n",
|
2021-05-22 14:18:14 +00:00
|
|
|
" dfctot = dfctot.append(dfc)"
|
2021-05-22 10:44:42 +00:00
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
2021-05-22 14:18:14 +00:00
|
|
|
"execution_count": 5,
|
2021-05-22 10:44:42 +00:00
|
|
|
"id": "763fed0f-718e-44d1-9207-dc1a6f6615e5",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [
|
|
|
|
{
|
|
|
|
"data": {
|
2021-05-22 14:18:14 +00:00
|
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2021-05-22 10:44:42 +00:00
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2021-05-22 14:18:14 +00:00
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2021-05-22 10:44:42 +00:00
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"<Figure size 288x216 with 1 Axes>"
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{
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"data": {
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2021-05-22 14:18:14 +00:00
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"image/png": "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
|
2021-05-22 10:44:42 +00:00
|
|
|
"text/plain": [
|
|
|
|
"<Figure size 288x216 with 1 Axes>"
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|
|
|
]
|
|
|
|
},
|
|
|
|
"metadata": {
|
|
|
|
"needs_background": "light"
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|
},
|
|
|
|
"output_type": "display_data"
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}
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|
|
],
|
|
|
|
"source": [
|
2021-05-20 15:30:06 +00:00
|
|
|
"cluster = \"all\"\n",
|
|
|
|
" \n",
|
|
|
|
"dfatot = dfatot.groupby([\"tier\", \"term\"]).sum().reset_index()\n",
|
|
|
|
"dfbtot = dfbtot.groupby([\"term\", \"exectime\"]).sum().reset_index()\n",
|
|
|
|
"dfctot = dfctot.groupby([\"term\", \"n_exec\"]).sum().reset_index()\n",
|
|
|
|
"\n",
|
2021-05-20 18:13:11 +00:00
|
|
|
"xs = [\"Free\", \"Best effort\", \"Mid\", \"Production\", \"Monitoring\"]\n",
|
2021-05-20 15:30:06 +00:00
|
|
|
"categorical_plot(dfatot, \"tier\", \"2019 data\", xs)\n",
|
|
|
|
"\n",
|
|
|
|
"xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
|
|
|
|
"categorical_plot(dfbtot, \"exectime\", \"2019 data\", xs)\n",
|
|
|
|
"\n",
|
2021-05-22 10:44:42 +00:00
|
|
|
"categorical_plot(dfctot, \"n_exec\", \"2019 data\")"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
2021-05-22 14:18:14 +00:00
|
|
|
"execution_count": 6,
|
2021-05-22 10:44:42 +00:00
|
|
|
"id": "5f3eb3a4-1bbc-4148-952b-67d0efd1ab1b",
|
|
|
|
"metadata": {},
|
|
|
|
"outputs": [
|
|
|
|
{
|
|
|
|
"data": {
|
2021-05-22 14:18:14 +00:00
|
|
|
"image/png": "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
|
2021-05-22 10:44:42 +00:00
|
|
|
"text/plain": [
|
|
|
|
"<Figure size 288x216 with 1 Axes>"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
"metadata": {
|
|
|
|
"needs_background": "light"
|
|
|
|
},
|
|
|
|
"output_type": "display_data"
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"data": {
|
|
|
|
"image/png": "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
|
|
|
|
"text/plain": [
|
|
|
|
"<Figure size 288x216 with 1 Axes>"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
"metadata": {
|
|
|
|
"needs_background": "light"
|
|
|
|
},
|
|
|
|
"output_type": "display_data"
|
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|
|
},
|
|
|
|
{
|
|
|
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"data": {
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|
"image/png": "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
|
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|
"text/plain": [
|
|
|
|
"<Figure size 288x216 with 1 Axes>"
|
|
|
|
]
|
|
|
|
},
|
|
|
|
"metadata": {
|
|
|
|
"needs_background": "light"
|
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},
|
|
|
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"output_type": "display_data"
|
|
|
|
}
|
|
|
|
],
|
|
|
|
"source": [
|
|
|
|
"def malusa(l, r):\n",
|
|
|
|
" return [a for a in itertools.chain(*[[b for x in range(r)] for b in l])]\n",
|
2021-05-22 08:55:53 +00:00
|
|
|
"\n",
|
2021-05-22 10:44:42 +00:00
|
|
|
"dfa11 = {'term': [x for x in range(4,8)] * 4,\n",
|
|
|
|
" 'priority': malusa([\"0-1\", \"2-4\", \"5-8\", \"9-11\"], 4),\n",
|
|
|
|
" 'count': [18, 38, 20, 28,\n",
|
|
|
|
" 0, 4, 21, 78,\n",
|
|
|
|
" 0, 7, 25, 65, \n",
|
|
|
|
" 0, 85, 17, 4]}\n",
|
2021-05-22 08:55:53 +00:00
|
|
|
"dfa11 = pd.DataFrame(data=dfa11, columns=dfa11.keys())\n",
|
|
|
|
"\n",
|
2021-05-22 10:44:42 +00:00
|
|
|
"dfc11 = {'term': [x for x in range(4,8)] * 8,\n",
|
|
|
|
" 'n_exec': malusa([\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"], 4),\n",
|
|
|
|
" 'count': [45,12,27,18,\n",
|
|
|
|
" 20,16,20,45,\n",
|
|
|
|
" 10,17,18,55,\n",
|
|
|
|
" 9,24,20,57,\n",
|
|
|
|
" 8,25,18,51,\n",
|
|
|
|
" 7,25,19,50,\n",
|
|
|
|
" 6,26,20,49,\n",
|
|
|
|
" 6,26,21,50]}\n",
|
|
|
|
"dfc11 = pd.DataFrame(data=dfc11, columns=dfc11.keys())\n",
|
|
|
|
"\n",
|
|
|
|
"dfb11 = {'term': [x for x in range(4,8)] * 7,\n",
|
|
|
|
" 'exectime': malusa([\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"], 4),\n",
|
|
|
|
" 'count': [3,78,11,7,\n",
|
|
|
|
" 5,38,21,39,\n",
|
|
|
|
" 6,6,20,70,\n",
|
|
|
|
" 8,4,17,72,\n",
|
|
|
|
" 12,8,18,65,\n",
|
|
|
|
" 21,3,21,56,\n",
|
|
|
|
" 23,2,70,2]}\n",
|
|
|
|
"dfb11 = pd.DataFrame(data=dfb11, columns=dfb11.keys())\n",
|
2021-05-22 08:55:53 +00:00
|
|
|
"\n",
|
2021-05-22 10:44:42 +00:00
|
|
|
"cluster = \"2011\"\n",
|
|
|
|
"\n",
|
|
|
|
"categorical_plot(dfa11, \"priority\", \"2011 data\")\n",
|
|
|
|
"\n",
|
|
|
|
"xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
|
|
|
|
"categorical_plot(dfb11, \"exectime\", \"2011 data\", xs)\n",
|
|
|
|
"bins = [\"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"]\n",
|
|
|
|
"categorical_plot(dfc11, \"n_exec\", \"2011 data\", bins)"
|
2021-04-17 09:37:58 +00:00
|
|
|
]
|
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
2021-05-22 10:44:42 +00:00
|
|
|
"id": "7e5fc71b",
|
2021-04-17 09:37:58 +00:00
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": []
|
2021-04-18 20:15:26 +00:00
|
|
|
},
|
|
|
|
{
|
|
|
|
"cell_type": "code",
|
|
|
|
"execution_count": null,
|
2021-05-22 10:44:42 +00:00
|
|
|
"id": "dc93b788",
|
2021-05-12 12:15:49 +00:00
|
|
|
"metadata": {},
|
|
|
|
"outputs": [],
|
|
|
|
"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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2021-05-22 10:44:42 +00:00
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"id": "2429da19",
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2021-04-18 20:15:26 +00:00
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"metadata": {},
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"outputs": [],
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"source": []
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2021-04-17 09:37:58 +00:00
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}
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],
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"metadata": {
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"kernelspec": {
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2021-05-22 10:44:42 +00:00
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"display_name": "venv",
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2021-04-17 09:37:58 +00:00
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"language": "python",
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2021-05-22 10:44:42 +00:00
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"name": "venv"
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2021-04-17 09:37:58 +00:00
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},
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},
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"mimetype": "text/x-python",
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"name": "python",
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"pygments_lexer": "ipython3",
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2021-05-22 10:44:42 +00:00
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"version": "3.9.5"
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2021-04-17 09:37:58 +00:00
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}
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"nbformat": 4,
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"nbformat_minor": 5
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}
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