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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2021-05-12 12:15:49 +00:00
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"execution_count": 14,
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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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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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2021-05-12 12:15:49 +00:00
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"execution_count": 15,
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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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2021-05-12 12:15:49 +00:00
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"DIR = \"/Users/maggicl/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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2021-05-16 10:22:27 +00:00
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"execution_count": 29,
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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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"def categorical_plot(df, key, title, sorted_xs = None):\n",
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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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" for t in [4,5,6,7,8]:\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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2021-05-16 10:22:27 +00:00
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" plt.figure(figsize=(10,8))\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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" for t in [4,5,6,7,8]:\n",
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" ys = []\n",
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" for x in xs:\n",
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2021-05-12 12:15:49 +00:00
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" partsum = df[(df[\"term\"] != -1) & (df[key] == (int(x) if key == \"priority\" else x))][\"count\"].sum().astype(int)\n",
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" y = df[(df[\"term\"] == t) & (df[key] == (int(x) if key == \"priority\" else x))][\"count\"]\n",
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2021-04-17 09:37:58 +00:00
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" ys.append((y.values.astype(int)[0] / partsum if partsum > 0 else y.values.astype(int)[0]) if y.any() else 0)\n",
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" lines.append(ax.plot(xs,ys, marker='.')[0])\n",
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"\n",
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" plt.xticks(xs)\n",
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" plt.legend(lines, [\"EVICT\", \"FAIL\", \"FINISH\", \"KILL\", \"LOST\"],\n",
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" bbox_to_anchor=(1,1))\n",
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" plt.title(title)\n",
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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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2021-05-16 10:22:27 +00:00
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"execution_count": 30,
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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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2021-04-17 10:50:40 +00:00
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{
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"data": {
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2021-05-12 12:15:49 +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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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-12 12:15:49 +00:00
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2021-04-17 10:50:40 +00:00
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"<Figure size 720x576 with 1 Axes>"
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2021-04-18 20:15:26 +00:00
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2021-05-16 10:22:27 +00:00
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2021-04-18 20:15:26 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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2021-04-17 09:37:58 +00:00
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{
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"data": {
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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"<Figure size 720x576 with 1 Axes>"
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},
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2021-05-12 12:15:49 +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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"<Figure size 720x576 with 1 Axes>"
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]
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},
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"metadata": {
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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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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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"<Figure size 720x576 with 1 Axes>"
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]
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},
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"metadata": {
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},
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{
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"data": {
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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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2021-04-20 07:15:19 +00:00
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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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{
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"data": {
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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"<Figure size 720x576 with 1 Axes>"
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},
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2021-05-12 12:15:49 +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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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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{
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"data": {
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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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2021-04-20 07:15:19 +00:00
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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 with 1 Axes>"
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2021-04-20 07:15:19 +00:00
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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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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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},
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2021-05-12 12:15:49 +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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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"text/plain": [
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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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2021-04-20 07:15:19 +00:00
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2021-05-16 10:22:27 +00:00
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2021-04-20 07:15:19 +00:00
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"text/plain": [
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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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{
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"data": {
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2021-05-12 12:15:49 +00:00
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2021-04-17 09:37:58 +00:00
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"<Figure size 720x576 with 1 Axes>"
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},
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"metadata": {
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{
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"data": {
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2021-05-12 12:15:49 +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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"<Figure size 720x576 with 1 Axes>"
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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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2021-05-16 10:22:27 +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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2021-05-16 10:22:27 +00:00
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"<Figure size 720x576 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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"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": [
|
2021-04-17 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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" dfa = pd.read_csv(glob.glob(DIR + cluster + \"_priority/part-*\")[0], header=None,\n",
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" names=[\"term\", \"priority\", \"count\"])\n",
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|
|
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" dfa = dfa.sort_values([\"term\", \"priority\"])\n",
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" \n",
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" categorical_plot(dfa, \"priority\", \"Figure 7a: Priorities w.r.t. event rate (cluster \" + cluster + \")\")\n",
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" \n",
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|
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" # Processing figure 7b\n",
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" \n",
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" dfb = pd.read_csv(glob.glob(DIR + cluster + \"_exectime/part-*\")[0], header=None,\n",
|
|
|
|
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" names=[\"term\", \"ignore\", \"exectime\", \"count\"])\n",
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" del dfb[\"ignore\"]\n",
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" dfb = dfb.sort_values([\"term\", \"exectime\"])\n",
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" \n",
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|
|
" xs = [\"<1\", \"1-2\", \"2-4\", \"4-10\", \"10-60\", \"60-1d\", \">=1d\"]\n",
|
|
|
|
|
" categorical_plot(dfb, \"exectime\", \"Figure 7b: Execution times (mins) w.r.t. event rate (cluster \" + cluster + \")\", xs)\n",
|
2021-04-18 20:15:26 +00:00
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"\n",
|
|
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|
|
" # Processing figure 7c\n",
|
2021-04-17 09:37:58 +00:00
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" \n",
|
2021-05-12 12:15:49 +00:00
|
|
|
" bins = [\"0\", \"1\", \"2-3\", \"4-5\", \"6-7\", \"8-9\", \"10-11\", \"12-13\", \">=14\"]\n",
|
|
|
|
|
" bin_max = [1, 3, 5, 7, 9, 11, 13]\n",
|
|
|
|
|
" def map_bins(value):\n",
|
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|
|
|
" for i, m in enumerate(bin_max):\n",
|
|
|
|
|
" if value < m:\n",
|
|
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|
|
" return bins[i-1]\n",
|
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|
|
" return bins[-1]\n",
|
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|
" \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",
|
2021-05-12 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",
|
2021-04-20 07:15:19 +00:00
|
|
|
" categorical_plot(dfc, \"n_exec\", \"Figure 7c: Priorities w.r.t. machine concurrency (cluster \" + cluster + \")\")\n",
|
2021-04-17 09:37:58 +00:00
|
|
|
" "
|
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|
|
]
|
|
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|
|
},
|
|
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|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
2021-04-18 20:15:26 +00:00
|
|
|
},
|
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|
{
|
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|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
2021-05-12 12:15:49 +00:00
|
|
|
"metadata": {},
|
|
|
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|
"outputs": [],
|
|
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|
|
"source": []
|
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|
|
},
|
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|
{
|
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
2021-04-18 20:15:26 +00:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
2021-04-17 09:37:58 +00:00
|
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|
}
|
|
|
|
|
],
|
|
|
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|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
2021-05-12 12:15:49 +00:00
|
|
|
"display_name": "Python 3",
|
2021-04-17 09:37:58 +00:00
|
|
|
"language": "python",
|
2021-05-12 12:15:49 +00:00
|
|
|
"name": "python3"
|
2021-04-17 09:37:58 +00:00
|
|
|
},
|
|
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|
"language_info": {
|
|
|
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|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
|
|
|
|
"version": 3
|
|
|
|
|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
|
|
|
|
"pygments_lexer": "ipython3",
|
2021-05-12 12:15:49 +00:00
|
|
|
"version": "3.8.3"
|
2021-04-17 09:37:58 +00:00
|
|
|
}
|
|
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|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 5
|
|
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|
|
}
|
