result-analysis/Scalability and sustainable throughput.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scalability and sustainable throughput\n",
    "This notebook can be used to make scalability and sustainable throughput plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# settings for saving plots\n",
    "saveplots = True\n",
    "dpiResolution = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pyspark.sql.functions import *\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "# Import to indent the plots in the notebook\n",
    "%matplotlib notebook\n",
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.collections as collections\n",
    "import seaborn as sns\n",
    "from IPython.core.display import display, HTML\n",
    "from PIL import Image\n",
    "warnings.simplefilter('ignore', Image.DecompressionBombWarning)\n",
    "import datetime\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.ticker import AutoMinorLocator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pyspark.sql import Window\n",
    "from pyspark.sql import functions\n",
    "from pyspark.sql.types import IntegerType, LongType, DoubleType, TimestampType, StringType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# check if Spark is running\n",
    "plt.style.use('ggplot')\n",
    "plt.style.use('seaborn-deep')\n",
    "plt.rcParams['font.family'] = 'sans-serif'\n",
    "plt.rcParams['font.serif'] = 'Ubuntu'\n",
    "plt.rcParams['font.monospace'] = 'Ubuntu Mono'\n",
    "plt.rcParams['font.size'] = 18\n",
    "plt.rcParams['axes.labelsize'] = 18\n",
    "plt.rcParams['axes.labelweight'] = 'normal'\n",
    "plt.rcParams['axes.labelcolor'] = 'black'\n",
    "plt.rcParams['axes.facecolor'] = 'white'\n",
    "plt.rcParams['axes.edgecolor'] = 'lightgrey'\n",
    "plt.rcParams['axes.titlesize'] = 18\n",
    "plt.rcParams['axes.titleweight'] = 'normal'\n",
    "plt.rcParams['figure.edgecolor'] = 'lightgrey'\n",
    "plt.rcParams['xtick.labelsize'] = 18\n",
    "plt.rcParams['ytick.labelsize'] = 18\n",
    "plt.rcParams['xtick.color'] = 'black'\n",
    "plt.rcParams['ytick.color'] = 'black'\n",
    "plt.rcParams['legend.fontsize'] = 18\n",
    "plt.rcParams['legend.edgecolor'] = 'white'\n",
    "plt.rcParams['figure.titlesize'] = 18\n",
    "plt.rcParams['figure.titleweight'] ='bold'\n",
    "plt.rcParams['grid.color'] = 'grey'\n",
    "plt.rcParams['grid.linestyle'] = ':'\n",
    "plt.rcParams['figure.facecolor'] = 'white'\n",
    "plt.rcParams['axes.spines.top'] = False\n",
    "plt.rcParams['axes.spines.right'] = False\n",
    "plt.rcParams['axes.spines.left'] = False\n",
    "plt.rcParams['axes.spines.bottom'] = False\n",
    "plt.rcParams['xtick.direction'] = 'out'\n",
    "plt.rcParams['ytick.direction'] ='out'\n",
    "plt.rcParams[\"date.autoformatter.minute\"] = \"%H:%M\"\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rc('axes',edgecolor='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div>\n",
       "                <p><b>SparkSession - hive</b></p>\n",
       "                \n",
       "        <div>\n",
       "            <p><b>SparkContext</b></p>\n",
       "\n",
       "            <p><a href=\"http://192.168.0.197:4049\">Spark UI</a></p>\n",
       "\n",
       "            <dl>\n",
       "              <dt>Version</dt>\n",
       "                <dd><code>v2.3.0</code></dd>\n",
       "              <dt>Master</dt>\n",
       "                <dd><code>local[*]</code></dd>\n",
       "              <dt>AppName</dt>\n",
       "                <dd><code>PySparkShell</code></dd>\n",
       "            </dl>\n",
       "        </div>\n",
       "        \n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "<pyspark.sql.session.SparkSession at 0x7fb2d53396d8>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if Spark is running\n",
    "spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# List of which frameworks should be included in this comparison\n",
    "frameworksPrinted = {\n",
    "    \"SPARK\": \"Spark Streaming\",\n",
    "    \"STRUCTUREDSTREAMING\": \"Structured Streaming\",\n",
    "    \"FLINK\": \"Flink\",\n",
    "    \"KAFKASTREAMS\": \"Kafka Streams\"\n",
    "}\n",
    "stages=[\"ingest\", \"parse\", \"join\", \"tumbling \\n window\", \"sliding \\n window\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cluster_scales = {\n",
    "    \"baseline\": \"5x-4cpu-20gb\",\n",
    "    \"horizontal\": \"10x-4cpu-20gb\",\n",
    "    \"vertical\": \"5x-8cpu-40gb\"\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "## General Methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For printing the quantiles of a column:\n",
    "provide a list of quantiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def dataRate(factor, last_stage):\n",
    "    if(int(last_stage)<100):\n",
    "        return 380*(int(factor)+1)\n",
    "    else:\n",
    "        return 190*(int(factor)+1)\n",
    "\n",
    "dataRateUDF = functions.udf(dataRate, IntegerType())\n",
    "\n",
    "def factorToTotalCount(factor, last_stage):\n",
    "    if(int(last_stage)<100):\n",
    "        return int(380*(int(factor)+1)*30*60/3.1666666667)\n",
    "    else:\n",
    "        return 120*30*60*(int(factor)+1)\n",
    "\n",
    "factorToTotalCountUDF = functions.udf(factorToTotalCount, IntegerType())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def save_img_colored_and_grayscale(path_colored_img):\n",
    "    if saveplots: \n",
    "        plt.savefig(path_colored_img + '.png', dpi=dpiResolution, bbox_inches=\"tight\", pad_inches=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Horizontal scale \n",
    "Read in latency data and transform in the right format for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def createFrameworkSustainableBurstPlot(completeResults, last_stage, framework, amt_workers, cpu_reservation, memory_reservation):\n",
    "    latency_metric = 'p50'\n",
    "    f, ax = plt.subplots(3, 1, figsize=(2.5, 2.7), sharex=True)\n",
    "    xlim = 1000000\n",
    "    if(int(last_stage)<100):\n",
    "        max_allowed_latency = 10000\n",
    "    else:\n",
    "        max_allowed_latency = 90000\n",
    "        \n",
    "    print(framework + \" - \" + amt_workers + \"x-\" + cpu_reservation +\"cpu-\" + memory_reservation + \"gb\")\n",
    "    data = completeResults\\\n",
    "        .withColumn(\"scale\", col(\"scale\").cast(\"Integer\"))\\\n",
    "        .orderBy('scale')\n",
    "    \n",
    "    dfToPlot = data\\\n",
    "        .withColumn(\"expectedCount\", factorToTotalCountUDF(col(\"scale\"), lit(last_stage)))\\\n",
    "        .withColumn(\"missingCount\", col(\"expectedCount\")-col(\"count\"))\\\n",
    "        .withColumn(\"delayTime\", col(\"max_outputKafkaTimestamp\")-col(\"max_inputKafkaTimestamp\"))\\\n",
    "        .withColumn(\"meanCpuPct\", col(\"mean_cpu\")*100/cpu_reservation)\\\n",
    "        .withColumn(\"p50\", col(\"p50\").cast(\"Integer\"))\\\n",
    "        .withColumn(\"p99\", col(\"p99\").cast(\"Integer\"))\\\n",
    "        .withColumn(\"mean_mem\", col(\"mean_mem\").cast(\"Float\"))\\\n",
    "        .withColumn(\"min_mem\", col(\"min_mem\").cast(\"Float\"))\\\n",
    "        .withColumn(\"max_mem\", col(\"max_mem\").cast(\"Float\"))\n",
    "        \n",
    "    dfToPlotPandas = dfToPlot.toPandas()\n",
    "    delayedData = dfToPlot.filter((col(\"meanCpuPct\")>80) | (col(\"p50\")>max_allowed_latency)).toPandas()\n",
    "    notDelayedData = dfToPlot.filter((col(\"meanCpuPct\")<80) & (col(\"p50\")<max_allowed_latency)).toPandas()\n",
    "    beginningGreyZone = notDelayedData['scale'].apply(lambda x: dataRate(x, last_stage)).max()\n",
    "    \n",
    "    dataSummary = dfToPlot.withColumn(\"missingPct\", col(\"missingCount\")/col(\"expectedCount\"))\\\n",
    "        .withColumn(\"throughput\", dataRateUDF(col(\"scale\"), lit(last_stage)))\\\n",
    "        .select(\"scale\", \"throughput\", round(\"missingPct\").alias(\"missingPct\"),\\\n",
    "                \"delayTime\", \"p50\", \"p99\", round(\"meanCpuPct\").alias(\"meanCpuPct\"), \"mean_mem\", \"filename\")\\\n",
    "        .orderBy(\"scale\")\n",
    "    dataSummary.show()\n",
    "    dataSummary.drop(\"fileName\", \"mean_mem\").show()\n",
    "    \n",
    "    ax[0].axvspan(beginningGreyZone, xlim, facecolor='grey', alpha=0.5)\n",
    "    latency_line = ax[0].plot(notDelayedData['scale'].apply(lambda x: dataRate(x, last_stage)), notDelayedData[latency_metric], marker= 'o', markersize=3.5, label='p50 latency', c='#303030', zorder=2)\n",
    "    ax[0].set_ylabel('latency', rotation='horizontal', labelpad =40, verticalalignment='center')\n",
    "\n",
    "    maxLatencyNotDelayed = notDelayedData[latency_metric].max()\n",
    "    ylimitmax = maxLatencyNotDelayed*1.5 if int(last_stage) < 100 else 60000\n",
    "\n",
    "    ax[0].set_ylim(ymin=0, ymax=ylimitmax)\n",
    "    ax[0].set_xlim(xmin=0, xmax=xlim)\n",
    "    # Make it SECONDS y-axis scale instead of MILLIS\n",
    "    ax[0].get_yaxis().set_major_formatter(\n",
    "        matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x/1000), ',').replace(',', ' ') + \" s\"))\n",
    "    ax[0].spines['bottom'].set_color('grey')\n",
    "    ax[0].spines['bottom'].set_visible(True)\n",
    "    ax[0].spines['left'].set_color('grey')\n",
    "    ax[0].spines['left'].set_visible(True)\n",
    "    minor_y_locator_0 = AutoMinorLocator(2)\n",
    "    ax[0].yaxis.set_minor_locator(minor_y_locator_0)\n",
    "    ax[0].grid(which='minor', color='grey')\n",
    "    ax[0].axvline(beginningGreyZone, color='black')\n",
    "\n",
    "    dataToPlot = dfToPlot.toPandas()\n",
    "    dataToPlot['scale'] = dataToPlot['scale'].apply(lambda x: dataRate(x, last_stage))\n",
    "    ax[1].plot(dataToPlot['scale'], dataToPlot['meanCpuPct'], linestyle= '--', marker='o', \n",
    "               label='mean CPU', c='#303030', zorder=2, markersize=3.5)\n",
    "    ax[1].set_ylabel('CPU', rotation='horizontal', horizontalalignment='right', verticalalignment='center')\n",
    "    ax[1].set_ylim(ymin=0, ymax=120)\n",
    "    ax[1].axvspan(beginningGreyZone, xlim, facecolor='grey', alpha=0.5)\n",
    "    ax[1].spines['bottom'].set_color('grey')\n",
    "    ax[1].spines['bottom'].set_visible(True)\n",
    "    ax[1].spines['left'].set_color('grey')\n",
    "    ax[1].spines['left'].set_visible(True)\n",
    "    minor_y_locator_1 = AutoMinorLocator(2)\n",
    "    ax[1].yaxis.set_minor_locator(minor_y_locator_1)\n",
    "    ax[1].get_yaxis().set_major_formatter(\n",
    "        matplotlib.ticker.FuncFormatter(lambda x, p: str(x).replace('.0', '') + \" %\"))\n",
    "    ax[1].grid(which='minor', color='grey')\n",
    "    ax[1].axvline(beginningGreyZone, color='black')\n",
    "\n",
    "    ax[2].plot(dataToPlot['scale'], dataToPlot['mean_mem'], linestyle = \":\", marker= 'o', markersize=3.5, label='avg heap usage', c='black', zorder=2)            \n",
    "    ax[2].fill_between(dataToPlot['scale'], dataToPlot['min_mem'], dataToPlot['max_mem'], color='grey', label='heap usage range')\n",
    "    ax[2].set_ylabel('mem', rotation='horizontal', horizontalalignment='right', verticalalignment='center')\n",
    "    ax[2].set_yticks([0, 15*1024])\n",
    "    ax[2].set_xlabel('x100K events/sec')\n",
    "    ax[2].spines['bottom'].set_color('grey')\n",
    "    ax[2].spines['bottom'].set_visible(True)\n",
    "    ax[2].spines['left'].set_color('grey')\n",
    "    ax[2].spines['left'].set_visible(True)\n",
    "    ax[2].set_ylim(ymin=0, ymax=30*1024)\n",
    "    minor_y_locator_2 = AutoMinorLocator(2)\n",
    "    ax[2].yaxis.set_minor_locator(minor_y_locator_2)\n",
    "    ax[2].grid(which='minor', color='grey')\n",
    "    ax[2].axvspan(beginningGreyZone, xlim, facecolor='grey', alpha=0.5, label = 'unsustainable')\n",
    "    ax[2].axvline(beginningGreyZone, color='black')\n",
    "\n",
    "    # Make it GB instead of the real MB values on the y axis\n",
    "    ax[2].get_yaxis().set_major_formatter(\n",
    "        matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x/1024.0), ',').replace(',', ' ') + \" GB\"))\n",
    "    # Make it x1000 seconds instead of the real too large values on the x axis\n",
    "    ax[2].get_xaxis().set_major_formatter(\n",
    "        matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x/100000.0), ',').replace(',', ' ')))\n",
    "    \n",
    "    ax[2].set_xticks(range(0, xlim, 100000))\n",
    "\n",
    "    save_img_colored_and_grayscale(\"./figures/scalability/overall/sustainable_throughput_stage\" + last_stage + \"_\" + framework + \"_\"  + amt_workers + \"x_\" + cpu_reservation +\"cpu_\" + memory_reservation + \"g\")\n",
    "    \n",
    "    dataSummary.coalesce(1).write.mode(\"overwrite\").csv(\"./figures/scalability/overall/sustainable_throughput_summary_\" + framework + \"_\"  + amt_workers + \"x-\" + cpu_reservation +\"cpu-\" + memory_reservation + \"gb_scale\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Phases that are present in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def getPlotsAndInfoForScale(framework, last_stage, amt_workers, cpu_reservation, memory_reservation):\n",
    "    dataPath = \"./scalability-data/constant-rate/\" + framework + \"/stage\" + last_stage + \"/\" + amt_workers + \"x-\" + cpu_reservation +\"cpu-\" + memory_reservation + \"gb/*\"\n",
    "    completeResults = spark.read.option(\"header\", \"true\").option(\"inferSchema\", \"true\") \\\n",
    "        .csv(dataPath + \"/results.csv/*\").withColumn(\"filename\", split(input_file_name(), \"/202\").getItem(1))\n",
    "    if completeResults.count()>0:\n",
    "        volumes = list(completeResults.select(\"scale\").distinct().orderBy(\"scale\").toPandas()[\"scale\"])\n",
    "        \n",
    "    containerCheckPhase = spark.read.option(\"header\", \"true\").option(\"inferSchema\", \"true\") \\\n",
    "        .csv(dataPath + \"/cpu-per-container-timeseries.csv/*\")\n",
    "    amtOfContainers = containerCheckPhase.select(\"containerName\").distinct().count()\n",
    "\n",
    "    required_amt_containers = {\n",
    "        \"horizontal\": 10,\n",
    "        \"vertical\": 5,\n",
    "        \"baseline\": 5\n",
    "    }\n",
    "    \n",
    "    \n",
    "    createFrameworkSustainableBurstPlot(completeResults, last_stage, framework, amt_workers, cpu_reservation, memory_reservation)\n",
    "    \n",
    "    print(volumes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Last stage 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "framework=\"STRUCTUREDSTREAMING\"\n",
    "last_stage=\"3\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-2cpu-10gb\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|   2915.0|  2993|  4180|      32.0| 821.2631|0-10-09T07_43_48Z...|\n",
      "|  300|    114380|       1.0|   3013.0|  4942|  6687|      60.0|2993.8901|0-10-08T13_48_37Z...|\n",
      "|  400|    152380|       1.0|   3476.0|  8220| 11202|      75.0| 3776.935|0-10-23T15_30_57Z...|\n",
      "|  400|    152380|       1.0|   2560.0|  7661| 12201|      72.0|2409.2185|0-12-11T15_58_57Z...|\n",
      "|  800|    304380|       1.0| 965040.0|728632|968493|      78.0| 3763.572|0-12-11T18_23_49Z...|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|    0|       380|     -14.0|   2915.0|  2993|  4180|      32.0|\n",
      "|  300|    114380|       1.0|   3013.0|  4942|  6687|      60.0|\n",
      "|  400|    152380|       1.0|   3476.0|  8220| 11202|      75.0|\n",
      "|  400|    152380|       1.0|   2560.0|  7661| 12201|      72.0|\n",
      "|  800|    304380|       1.0| 965040.0|728632|968493|      78.0|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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DA5qa8i8WiUQiiR2lYuqaQyCEKJRPgurqty2AziE0GsQ7O9lw+/ZthdpKSUmhOiXpVG0j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\ngg==\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0', '300', '400', '800']\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"2\", \"10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 2x-6cpu-30gb\n",
      "+-----+----------+----------+---------+----+----+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime| p50| p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+----+----+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|   2581.0|3049|4329|      24.0|1979.3666|0-10-07T16_42_00Z...|\n",
      "|  300|    114380|       1.0|   2749.0|4622|6087|      53.0| 9036.653|0-10-06T12_31_06Z...|\n",
      "|  400|    152380|       1.0|   2771.0|7492|9427|      74.0|12355.045|0-10-23T13_53_45Z...|\n",
      "|  400|    152380|       1.0|   2783.0|null|null|      76.0| 9346.157|0-12-09T16_41_44Z...|\n",
      "|  450|    171380|       1.0| 292408.0|null|null|      86.0|13687.503|0-10-23T11_02_05Z...|\n",
      "|  600|    228380|       1.0| 208436.0|null|null|      93.0|14429.034|0-10-07T17_19_09Z...|\n",
      "+-----+----------+----------+---------+----+----+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+----+----+----------+\n",
      "|scale|throughput|missingPct|delayTime| p50| p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+----+----+----------+\n",
      "|    0|       380|     -14.0|   2581.0|3049|4329|      24.0|\n",
      "|  300|    114380|       1.0|   2749.0|4622|6087|      53.0|\n",
      "|  400|    152380|       1.0|   2771.0|7492|9427|      74.0|\n",
      "|  400|    152380|       1.0|   2783.0|null|null|      76.0|\n",
      "|  450|    171380|       1.0| 292408.0|null|null|      86.0|\n",
      "|  600|    228380|       1.0| 208436.0|null|null|      93.0|\n",
      "+-----+----------+----------+---------+----+----+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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kLW3atAGfz5e4llBSUoKlS5di06ZNmDBhAlRVVascpiJPNDU1ZdLJGvxEdbXbFuc2aryF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\nGKhDoFAoDNQhUCgUhv8DOYfTjAIcnTwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0', '300', '400', '450', '600']\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"2\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-6cpu-30gb\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|    0|       380|     -23.0|     5042| 4543| 5930|      15.0|1880.1241|0-10-17T15_38_27Z...|\n",
      "|  800|    304380|       1.0|     5468| 7339| 9688|      51.0| 6457.486|0-10-15T18_37_05Z...|\n",
      "|  900|    342380|       1.0|     4113| 8278|10534|      60.0|7216.3438|0-10-19T07_09_40Z...|\n",
      "| 1000|    380380|       1.0|     4347|10344|13334|      65.0|  8916.23|0-10-17T16_15_46Z...|\n",
      "| 1100|    418380|       1.0|     4499|10732|13765|      69.0|10730.667|0-10-18T08_30_27Z...|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|    0|       380|     -23.0|     5042| 4543| 5930|      15.0|\n",
      "|  800|    304380|       1.0|     5468| 7339| 9688|      51.0|\n",
      "|  900|    342380|       1.0|     4113| 8278|10534|      60.0|\n",
      "| 1000|    380380|       1.0|     4347|10344|13334|      65.0|\n",
      "| 1100|    418380|       1.0|     4499|10732|13765|      69.0|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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djElFRUUSZUzicrlsxiSW2pH0LENgYKBYh7Hq01VUVCAoKAh+fn7Q1NTEokWL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\nsFCwDoGFhYXi/wAaFyWW+LMfnwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 800, 900, 1000, 1100]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-4cpu-20gb\n",
      "+-----+----------+----------+---------+-----+------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|   p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-----+------+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|   4753.0| 3860|  5309|      15.0| 1197.533|0-10-13T17_56_31Z...|\n",
      "|  400|    152380|       1.0|   3338.0| 5362|  7126|      44.0|3457.9941|0-10-14T08_33_04Z...|\n",
      "|  800|    304380|       1.0|   4545.0| 9748| 13211|      69.0| 8692.669|0-10-13T13_15_20Z...|\n",
      "|  850|    323380|       1.0|  73110.0|91405|115606|      86.0| 7858.226|0-12-22T11_25_29Z...|\n",
      "|  900|    342380|       1.0| 310503.0| null|  null|      86.0| 9713.181|0-10-13T18_33_40Z...|\n",
      "+-----+----------+----------+---------+-----+------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-----+------+----------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|   p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-----+------+----------+\n",
      "|    0|       380|     -14.0|   4753.0| 3860|  5309|      15.0|\n",
      "|  400|    152380|       1.0|   3338.0| 5362|  7126|      44.0|\n",
      "|  800|    304380|       1.0|   4545.0| 9748| 13211|      69.0|\n",
      "|  850|    323380|       1.0|  73110.0|91405|115606|      86.0|\n",
      "|  900|    342380|       1.0| 310503.0| null|  null|      86.0|\n",
      "+-----+----------+----------+---------+-----+------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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YuqQL0xGCNKRCY6r7klOocSOEFkZBQQEsLCxQVlaG8ePHY8mSJUInDadPn87o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\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0', '400', '800', '850', '900']\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"4\", \"20\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 4x-6cpu-30gb\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|    p50|    p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|     4557|   3517|   4934|      16.0|1532.4933|0-10-10T19_55_05Z...|\n",
      "|  600|    228380|       1.0|     3488|   6192|   8265|      59.0| 8412.182|0-10-10T20_32_14Z...|\n",
      "|  750|    285380|       1.0|     4220|   8062|  10616|      68.0|10266.676|0-10-11T07_50_22Z...|\n",
      "|  800|    304380|       1.0|     3484|  10405|  13971|      75.0|12340.565|0-10-11T12_26_08Z...|\n",
      "|  900|    342380|       1.0|  1393363|1431239|1467535|      62.0|15793.205|0-10-10T21_09_23Z...|\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "|scale|throughput|missingPct|delayTime|    p50|    p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "|    0|       380|     -14.0|     4557|   3517|   4934|      16.0|\n",
      "|  600|    228380|       1.0|     3488|   6192|   8265|      59.0|\n",
      "|  750|    285380|       1.0|     4220|   8062|  10616|      68.0|\n",
      "|  800|    304380|       1.0|     3484|  10405|  13971|      75.0|\n",
      "|  900|    342380|       1.0|  1393363|1431239|1467535|      62.0|\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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EvthCHUILw9PTU6a62NhYqmvEvthCHUILQ09PT6Y6NTU1qmvEvthCHUI9ExoaCnNzc9jY\n2MDc3PyzS0cv6/lrVlYW1TViX2z5vJanmziJiYkYM2YMXF1dMXz4cISHh2PEiBHw9fWVSRkuSZDm\ncExddG3btqW6RuyLLXSEUI9s3LgRvXr1YiIlNTQ0oK2tjXXr1jWyZf9RtVx9Q+tEJWRp6TpZ28gG\n6hDqiaKiIri4uFRLRa6vrw83Nzepf6Hqm6q5IxpaJ825ieauk7WNrPpo8B5aCP7+/igpKamWH7J7\n9+7g8Xhi1xJKS0uxbt067Ny5E7Nnz4aCgoLUxVQkQUVFRaY6aYOmmrNO1jay6qPBe2ghCDLnVM1o\nLMjJkJGRIVJ3/Phx9OrVC6tXrwZQc5p0BwcHJqHtDz/8gB07dtTZ7oZg7NixAICnT582siUUoPLv\nQeLCwIRSL9y6dYsAII6OjkLXHRwcCADi7OwsUrd69WqioaFB/v33X0IIITk5OSQgIKDW/nR1daWy\nk+oaXydrG9lApwz1hCDpSNW1Ai6XC0B8kQ0bGxuUl5dDW1sbU6ZMQXR0NHR0dBrWWApFDNQh1BOa\nmppQVVVFamqq0PWkpCSoqKhAV1dXpK5v374ICQnBgQMH4OPjAwMDAybhLIUia+Tt7e3tG9uI5oCy\nsjLCw8Px7t07oVoQ+/btg56eHmbPni1S5+zsDC0tLYwYMQLLli3Dy5cv4enpieXLl9fapzgnQ3Wf\nv07WNkoKPf5cj0RFRWHYsGF4/fo1Bg0ahJCQEIwZMwZv3rxBnz59RGqWL18OMzMzTJo0CQBw5MgR\nvHnzhpafozQKdJehHunfvz8ePXqELVu2oF+/fkhOToaXl5dYZwBU5smbOnUqzM3NoaGhgYyMDJw+\nfVqGVlMo/0FHCBQKhYEuKlIoFAY6ZWiiSFK5SRR+fn5SLUyx0X2aQi0lJUWqY7vNWSdrG2kKNYpY\nZJ3xtylUUpK17nOu3NSiHIK3tzcmTJiAy5cvi7yfmpqK2bNnY9WqVTA3N8fjx4+lavMpPB4Pq1at\nwpo1azBt2jS8evVKZLsnT55g69at7F+KJYKirbLSCUK6qa5x+mJLi5kyPHz4EDdu3MA///wjMiag\noKAAo0ePxq5duzBr1ixkZ2dDU1MTd+7cwXfffSdxm6qcPn0aAQEBePHiBVxdXWFhYYHo6GgoKSkx\nbTIzM3Hq1Cn89ddfDfPynyBtXgZpdR07dqS6RuyLLS1mhGBqaooNGzaIvb9//37k5eXBwsICQOUh\nJTMzM6xcuZJVm6o8evSI2XbU0NBAUlISPnz4wNwnhMDW1hZHjhyRyWm2qpGUDa0rLCykukbsiy0t\nxiEAgKqqqth7Tk5O0NPTEyqBpq+vj8DAQLx//17iNqL6LC8vBwDmv5/acfToUUyZMkXisux1RdqK\n2NLqPh0JUZ3s+2JLi3II4uodJiUlISEhQWQuA6Cy8rEkbUTx008/wc/PD+Xl5fDx8YGuri4GDBgA\noDKHQkxMDGbOnFmn96JQ6osW5RDEIUkuA2nzHZiZmWH//v3Ys2cPEhMT8fDhQ8jJyaGwsBA7d+7E\nb7/9JrGdDg4OGDZsGIYNGwYAiI+PR3h4OIKDg5GcnAxfX1/k5+fDw8MDfD6fKa4iKMPm6urK3M/P\nz4evry+Sk5MRHByM8PBwxMfHw8/PD9nZ2fD29kZZWRmTrMXb2xsA4OLiAgBwd3fHx48f8fLlS6Sn\npyMwMBDR0dGIjo5GYWEheDweEhISUFRUhKioKAD/lSIT/DciIgI8Hg9xcXEoKipCSkoK8vLykJWV\nhaysLHC5XCQlJaGkpAQxMTEghDDJXgXPCAsLAyEEMTExKCkpQVpaGrhcLjIyMpCVlYW8vDykpKSg\nqKgIcXFx4PF4iIiIqGZPWVkZoqKiUFZWhoSEBBQWFiItLQ05OTnIyclBWloaCgsLkZCQwLQFgLi4\nOInfKSMjA1wuF2lpaazeKSkpCVwul/lcJH0nAIydktKiIhXj4uLQp08fXLx4EQsWLGCuv3v3Dnp6\netiyZQt2797NXH/8+DHGjx+PQ4cOwcjIqNY2a9euldgWa2trrFixAkOHDgWPx8PRo0dRVlaGVq1a\nYdWqVbWmy5I2DiE9PR1du3ZtUN2ncQiFhYVo3bo16/6as07WNtI4BJZIkstA2nwHonBycoK2tjaT\nHWnTpk0IDAzEpk2b8Pr16wbdfmT7jVFXXU5ODtU1Yl9soQ4Blb/MPXr0EJnLAABGjhwpURtJiIqK\nwuPHj4WON1++fJlJzmpoaIgLFy5I/S61IW3yFWl13bp1o7pG7Ist1CGgcrFx0aJFePHiBT6dQfn7\n+8PQ0BB9+vSRqE1tlJeXY8OGDdWqIhcWFjIryMrKyiguLq6nN6vO8+fPZapLSEigukbsiy0tyiEI\ntv0qKiqq3bO1tYWSkhITeZieng53d3ehX15J2tSEnZ0d1qxZgw4dOghdHzduHCIjIwFULgaNGjWK\n/ctJiImJiUx1sg6Eago6WdvIhhbjEHx8fHDgwAEAwJUrV3D37l2h+x07doSnpyccHBzw66+/Ys2a\nNXB2doaBgQGrNuJwd3dH69atRU4tzpw5g5iYGGzfvh1xcXE4c+ZMHd9WPIJdAlnpBKvdVNc4fbGl\nQXYZYmNjcfz4cURFRaFz586Qk5ODkpISxo8fDwcHB2zbtg1Xr17FmTNn0K5dOwwbNgwVFRXIzc2F\nhYUF1q1bByUlJbi7u+PcuXNwdXVFt27dsG/fPkyaNImJBUhKSsKDBw/w66+/wsDAAGvWrJH6m6yp\nIe0ugywYM2YMcnNzYWxsjMjISAwYMACmpqaQl5dvbNNaJI26y+Ds7Ixhw4ZBS0sLd+/excWLF3H+\n/Hns27cP169fh4+PD4YPH858W5uZmcHDwwPe3t5Ys2YNtmzZwpw1MDExYWoPWFhYYMGCBUKBQT17\n9sSyZctgbGyMQ4cOtRhnUBdkNULIycnBs2fPkJCQgKdPn8Ld3Z2Vvil800ur+5xHCPXqEN6+fQtL\nS0usXr0aCxcuFIoMbN++PZycnKClpQUAIvdTFyxYAG1tbbi4uDCRf4IClzXtv37xxRdSh9a2NKZP\nny4TXXFxsdCaTUhICCu9pqYmq/ZNSSdrG9lQrw7hl19+AZ/PZ6oQVUVJSanGA0bAf+fu4+Pj69M0\nyv8jbZk4SXUVFRWIjY1FWVmZUHBVZmYmoqOjJe5PEHnHlqagk7WNbKg3hxATE4MXL15g2LBhaNeu\nndh2guzC4hAEwHz99df1ZRrlE8aPH98guvLycnh6emL69OnIzs4Gn88HUDnCGzFiBNq3b48zZ87A\nz89Pov769esnlZ1NQSdrG9lQbw5BML+RJsWTgD/++AN+fn5YvHixTIZHLRFxCVrqogsODoaxsTHW\nrl0rFLjF5/PRqlUrzJgxA7a2tvjqq6/g4eGBe/fu4ffff4ebmxt4PJ7IZyYmJkplZ1PQydpGNtTb\nAXxBCC/bI5rBwcHYuXMnkpOTUVRUhKtXr8LS0pK5L+6EYlUkbdfSqamYrCS6iooKHDp0CN7e3tDQ\n0MDhw4fRt29fjBw5EiYmJvDz84OdnR34fD4UFRWhoaEBoHKdx9raGn///TeeP3+O8vJypKamgsPh\niBw1sgkFb2o6WdvIhnpzCOrq6gAqE0GyYciQIdi2bZvY+4KkIWVlZWLblJeX15jrgPIfcXFx1U5s\nSqorLCzE+vXrmSCqzMxMnD17FitXrmQOfBkaGuLkyZPIzc2FkZERtLW1mWcoKCggISFBKD9ERESE\nSIeQl5eHVq1asbazKehkbSMb6m3KoKenh65du8LX1xcFBQU1thUVKSgOQVRfZmam2DY5OTlo3769\nxM9syUibqPPJkyeYPn260CEnPp8PX19foXYKCgro0aMHevbsiUmTJlXbHRowYAAUFRUBAIqKihg4\ncKDI/qT9h98UdLK2kQ315hAUFRVhb2+P0tJSoePBVbl48aLY3AGiaNWqFYYMGYI3b96IvC84ASaL\nbDLNgZKSEonbhoeHIy8vDwDQu3dvzJs3DxYWFlBRUQEAqKio1BqlWdX5m5qawsjICL1794aRkZHY\n2BE2XxpNTSdrG9lQr0n8rK2tERERgQMHDoAQgk2bNjHf8EVFRThz5gz09PSgpqaGoqIiAMDHjx9r\nfe6hQ4dgZmaGXbt2YcuWLcx2VnR0NKytrWFnZ1efr9GsEQzXayI4OBiOjo549uwZrKysYG1tjSFD\nhmDWrFmoqKjAF198AV9fXxgYGMDa2rrGZwl2GwTIy8tj0qRJte42VdVJSlPQydpGNtR7pOKRI0fw\n8OFDhIaGQltbG/r6+pgxYwbs7OwwZcoUjB49Gj4+Pvjll18AgDkbUNNJrgkTJuDJkyfw9fWFvr4+\nTExMYGJigo0bN2L//v0YPXp0fb/GZ8u9e/eY6tLSZExq166d2IxJDx48gKWlJebNm4d3797BysqK\nWW8QpGG/e/cuVq5cCUtLSyxcuBC+vr41ZkxSUFCQKmNScXGxVBmTuFyuVBmTVFRUpMqYJMikxSZj\nEpfLlSpjUnFxMc2YRBGNtGcZBN/sorC1tcW///6L+fPnY8aMGUJz1pp0Vfk0Y1JSUhJ69uzJ2s7m\nrJO1jWzOMrSYugyUSgSRoIQQvHjxAhcuXIC9vT3U1dWxefNmtGnTRuSODa3cVH86WrmJ8tng6+uL\nJ0+eYM6cObCxsUF6ejqzyNulSxex27fiskrXBttt6Jagk7WNbKAjhBYEj8fDpUuXEBoait69e2PH\njh0wNTVltgFr4vvvv5eqT0kySbU0naxtZAMdITRzysvLmfRn8vLyUFNTw969e+Hi4oLJkydL5AwA\nVEsoIynh4eFU14h9sYWOEJopZWVlTD6KlJQUODk54euvv8ahQ4eket7UqVOl0sm62nRT0MnaRjbQ\nEUIzo7S0FNeuXcMPP/yAPXv2oGPHjjh27BgGDx4M4L8tSLZIq2sKCUtkrfucE6TQEUIzgRACDocD\nHo8HR0dH9OnTBzt27ICBgYHQwa9p06ZJ9XxpdU0hYYmsdS0mQQpF9hQUFMDR0RGLFi0Cj8dDq1at\ncPPmTVy4cAGGhobVToEKgpXYIq1OEHRDdY3TF1voCKEJs2DBAkRFReHjx48YNWoUuFwuOnToUOMx\n2cmTJ0vVl7Q6wfFnqmucvthCRwhNmKCgIHTu3BnXr1/H8ePHq9V7EIWnp6dUfUmri42NpbpG7Ist\n1CE0cdq0acNq9VlPT0+qfqTVSZtBqznrZG0jG6hDYEloaCjMzc1hY2MDc3Nz+Pv719i+sLAQ8+fP\nx6ZNmzBlyhSxe8kXL16Eg4MDK1skOX5cFVnPX7OysqiuEftiC11DYEFiYiLGjBkDV1dXDB8+HOHh\n4RgxYgR8fX3Fltnavn07+Hw+9u3bh6NHj2L+/PnVkoqEh4fj6dOnuHTpEit7LC0taz1+XBVpDsfU\nRSdIo091jdMXW+gIgQUbN25Er169MHz4cACVizza2tpYt26dWM2jR4+YkFMNDQ28efOGSToCVMYN\nbNy4UeL6kJ+ycuVKJsWcpFQtZ9/QOjYJWVqKTtY2soE6BAkpKiqCi4sLU7ZdgL6+Ptzc3MT+wqiq\nqgrlEORwOFBWVmbub968Gb/++qvMUsBJGqpcX7pPazNQnez7Yt1Hg/fQTPD390dJSYlQKTkA6N69\nO3g8nti1hAULFuD169cAKgvOTpkyhTlReO/ePXTu3JkZccgCQfozWenYjmBagk7WNrLqo8F7aCYI\nMuNUzVgsKCEnLk/kihUroKioiD179kBFRQVXr14FAOZ8wfXr1yW2wcHBgVl4/OGHH5i6l58bY8eO\nBQA8ffq0kS2hAJV/DxIn0yEUibh16xYBQBwdHYWuOzg4EADE2dlZ4mfxeDwyc+ZMkpKSQggh5OPH\nj2Tnzp1k165d5PLlyxI9Q1dXV3Ljqe6z0snaRjbQEYKE9OrVC0D1xTVBgRo2RTT27duHn376Cd27\ndwdQOa3Q0NDArl27MHz4cJSUlDB5EykUWULXECREU1MTqqqqQqXKgMo8dyoqKtDV1ZXoOa9evUJ+\nfj4mTpwIoDJO4fbt28xipaGhIS5cuFC/xlMoEkJHCBLStm1bmJub49mzZ0LX/f39MXXqVImKaOTl\n5eHQoUO4ceMGc624uBh8Pp+pK6GsrIzi4uJanyXtCILqGl8naxtZ0eCTkmZEZGQkadeuHQkNDSWE\nEBIcHEw6d+5MYmJiJNIvWLD6/k4CAAAgAElEQVSAREREVLuupaVFTpw4QQghZPLkyWTFihX1ZzSF\nwgI6QmBB//798ejRI2zZsgX9+vVDcnIyvLy8JMp1d+7cOXz//fcYMGBAtXs3btzApk2bkJaWBhUV\nlRorX1EoDQmty0ChUBjooiKFQmGgU4YmirSVm/z8/CTeEZFW92nlppSUFKmO7TZnnaxtZFO5iY4Q\nWhiyzvjbFCopyVpHKzdRPhsERVtlpROEfFNd4/TFFuoQWhji8jY0lK5jx45U14h9sYU6hBZG1UjL\nhtYVFhZSXSP2xRbqEFoYgtOZstIJIjCprnH6Ygt1CBSZk5ubK3UGJkrDQh1CC6OgoECmurKyMub/\nCSGIjIzEhw8fkJ+fL7FO2v4+V52sbWQDjUNoYQiOXMtK17p1awCVh7hCQ0MldiwCnbT9fc46WdvI\nBjpCaGFERUXJVJeTk4OkpCQEBQWxGmXk5ORI3d/nrpO1jWygDqGJce/ePeYYbHx8PMLDwxEcHIzk\n5GT4+voiPz8fHh4e4PP5TD1GQeVmV1dXaGlpwcPDA/n5+fD19UVycjKCg4MRHh6O+Ph4+Pn5ITs7\nG97e3igrK4ObmxsAIDk5GQDg4uICAHB3d8fHjx/x8uVLpKenIzAwENHR0YiOjkZhYSF4PB4SEhLw\n8eNHREdHo7S0tNq7REREgMfjIS4uDkVFRUhJSUFeXh6ysrKgoKAALpeLpKQklJSUICYmBoQQpj6E\noBJyWFgYCCGIiYlBSUkJCCHgcrnIyMhAVlYW8vLykJKSgqKiIsTFxYHH4yEiIkLoGaGhoejWrRui\noqJQVlaGhIQEFBYWIi0tDTk5OcjJyUFaWhoKCwuRkJCAsrIyxkEKnJzgWTW9U0ZGBrhcLgghrN4p\nKSkJXC4XCgoKrN4JYO/I6eGmJoq0ocvu7u4wMTFpUJ0gdHn37t0ICAgAn8+v1kZdXR1fffWV2GdE\nRUVJFfvQFHSytpGGLlPEIo0zkFYXEREh0hlIgqwDqGSpk7WNbKAOoYUhGPI3tK60tLROgTSCIW9z\n1MnaRjZQh9DCmD59eoPqKioqwOVyUVpairrMRjU1NZutTtY2soE6hBZGQ40QsrKy4OLigrNnzyI3\nN1fqqYKApvBNL63ucx4htJg4BG9vb+zbtw9z5szBTz/9JLKNra0tjh07xvw8adIkZpW9Jl68eIFT\np05BTk4OrVu3RmlpKeTl5TFmzBh8+PAB+/btQ2lpKe7cuYO9e/fi33//hba2NrS1tVFWVobw8HB0\n7twZy5Ytg7m5eb29syjqc4TA4/EQFBSEoKAgZGVloaioCADqNDIQ0BS+6aXVfc4jhBbhEB4+fIgb\nN27gn3/+wezZs0W2SU1NRVhYGA4ePMhcE6RKr4lt27bh6tWruHPnDnR0dJjr2dnZWLZsGXNkVVlZ\nGbNmzUJWVhZWrVqFQ4cOYdy4cQAqi3haW1tjxowZ2LNnDzZv3lyX160RNzc3mJmZ1UlXUlKCx48f\nIyEhATk5OXUeDYgiIiICAwcObJY6WdvIhjpNGd6/f4/Vq1ejU6dOKCwshJWVFTp06IBBgwbBz88P\nsbGxmDBhAlRVVWFoaMicmKuoqMD+/ftha2uL77//HgYGBvDy8qrTM2vC1NQUGzZsqLHNwYMHcfDg\nQaxbt475M3jw4Bo1x44dw65du+Ds7CzkDIDKkm/Xrl1Dhw4dhK6LijZTUVHBmTNn0K5dO+zatYsp\nDtsQjB8/vk66sLAwnD9/Hv7+/sjKymoQZwAA/fr1a7Y6WdvIhjo5BFVVVcTExCAnJweOjo7YsGED\nXr58iezsbCxatAg3b96Eg4MDnj9/jvfv32Pfvn0AAGtra3z//fc4evQoPD09MXjwYJiZmSEuLk7q\nZ0piqzjS0tJw7tw5LFu2DLt370ZWVlatz0tJScGGDRswceJEsanFlJWVJf62V1VVxcCBA1FSUtKg\nx1xfvXolle758+dwcXHB3bt3Jfp8xMHj8eDh4YFdu3bB0dERPB5PZLvExESpnt8UdLK2kQ11mjIM\nGDAA2tracHNzw5o1a5jr33//PXx9fbFx40YAlUEo2traCAsLQ1xcHP766y/07NkTDx48AFBZalxP\nTw+RkZEwNjZm/UxJ4HA4Yu/5+/vD2NgYgYGBsLOzw6lTp3D58uUav02vXLmC0tLSWvfnR4wYIZF9\nZWVliImJwdixY6uNKuqToUOHstbExMQgNDQU2dnZde7/1q1bTHxCcnIyOBwOlixZUq0dm9J4TU0n\naxvZUOddBlElqkV9GysrK6OsrAx+fn4oLy/H9u3bYW9vD3t7ezg4OMDb2xvGxsZSPbOuTJw4Ea6u\nroiLi8ODBw+goKCAKVOm1LiqKyj/3rdv32r30tLScPToUcyaNQuzZs2Cvb09E/oripKSEqxatQoT\nJkzA7du3xbZzcHDAsGHDMGzYMADShS7HxMRIHLpcVFSEU6dO4fbt2/XiDIDK6lWCaUZpaSn8/PxE\nhvkmJiZKFbocFxcnVehyXl6eVKHLVe2RJHQ5Li5OqtDlxMTEBg9dlvmiYnl5OUpKShAUFFRt3p2Z\nmYkvv/xS1iYJYWpqCi8vL2hra+PEiRM4ffq0yHaCIq+iHFK3bt2wevVqnDt3DmFhYUhPT6/m3e3s\n7HDjxg3k5ubCy8sLubm5aN++PU6fPo0tW7aI7HPZsmXMOYYdO3ZAXV1d6H6PHj0AgFmsnDp1KgBg\n2rRpzM/x8fHQ09MDABgYGAjpADDPHDBgAK5evVqn6YEAwT/6QYMGoX///sjKykJFRQWUlZWhq6vL\nhDB/Wg5PQUEBbdu2Rdu2bQH853gFyV4FK+6CnwX31dTUhHQA0L59ewBg+hEszAmeoampiby8PCaj\nce/evQGIXu8RXBNEDQr6FTxL8GxR7yRATU0NKioqEr9Tz549AQB8Pp95F0ne6VM7JUXmDkFLSwsA\nsGHDBjx48ADy8vIAgMePH6NVq1aN7hCAyg9x8eLFCA8PF9tGsMAjrg2Hw0HXrl0RFhYmcqi3a9cu\noV2Gy5cvw8bGBlu3bsWQIUMwZcqUeniT6pSUlNR4n8/nw8PDA//++2+d1zI8PDwQGxuLNm3aICws\nDLNnz8bYsWMBVK7BDB8+HAsXLhSpraiokKrPpqCTtY1sqLNDEBjJ4/GYX24+n19t9ZkQAj6fj8GD\nB2P69OlwcXHB6NGjMWfOHKSlpSEiIgI3b96U6pkNgYaGBrOvLoqZM2fi9OnTuHXrFrOuIS0qKiqw\nsrJCZGQkDh8+jCdPnjSYQ6hpByMzMxN///03UlJS6hxLkJubi5SUFJSXl0NBQQGampoYOHAgOBwO\nxo0bV+vhJmn/XpuCTtY2sqFOawhPnz5l5qe7d+9GRkYGbt++DQ8PD6SkpODEiRPIy8uDg4MDAgIC\nEBQUhMuXL8PJyQk2NjYIDw/Htm3bkJiYCAcHhzo9s77x8/ODtbW12PtGRkYwNzeHv78/rl27Vi99\ndu3aFQCkKsYhKaIWLAkh8Pb2hpOTE5KTk+slsKikpIRxPoJw5poWdquioqIiVb9NQSdrG9lQpxGC\nkZERQkJChK79+OOP+PHHH4WufTr3FXDs2DGhqMD6eGZNfPqPsyoLFy7E4MGDYWNjA0VFRTg4OGDo\n0KHM4p04rly5gvLycixduhQKCgqYOXOmUH8fP36sphF1DQAiIyNx4sQJ9O7dG0uXLpX4vdiSlJQk\ntGaQl5eHO3fuIDk5WewWIBt4PB5yc3OFPmcFBQWJCuJ+CpfLFVoHaE46WdvIhhYRqejj44MLFy4A\nqPwl7tKlCyZPnszcFwQEHTlyBPr6+rC1tWXmujWhqqoKV1dX3Lt3D1euXMGFCxegrq6O4uJiJCQk\nQFdXF2fPngVQuaIuiPUHgNWrV2PAgAFo06YNMjMzERMTA1NTU2zbtg2dOnVqgE+hEsGCFSEEr1+/\nxps3b5CXl1dvz3/8+DGz4MrhcPDFF19AR0dHos/zU5pCBSZpdZ9z5SaaIKWJIm2CFA8PDxgaGuLO\nnTtITEys16jIrKwsnDx5Uuhajx49RI54altDiImJEbmlWxtNQSdrG9kkSGkRIwTKf3To0AEXL16U\nOj8fj8eDl5cXYmNj8dVXXyE9PR29evWCkZEROnbsiF69ejERddJMFQQ0Z52sbWQDPf7cQiguLsb1\n69fx4MGDOiXrvHHjBl69esUEQnG5XCgrKwMA5OTksGDBArRt2xZKSkowNDRkPVUQUNOWb1PXydpG\nNtARQgvgw4cP8PT0lCraMD09HbGxsTA0NARQmWxVsP1VUVEBRUVF5h4AyMvLMzsZgjgLaZB1lWpZ\n6mRtIxvoCKGJwSbr8u3bt+Hs7Mwq9FiQn0GwSxAVFYVHjx4xQUo6OjpMaHldpgRAzWG+AQEBUoUu\n+/n5SRW6HBoaKlXo8uvXr4WeJUnosp+fn1ShywEBATTrMkU0tS0qRkdH49GjR8jMzKz1WQUFBVBU\nVISKigrCwsJw48YNzJs3D/369UNxcTEIIUwI7qdrCH369MHYsWOZ4DEBFy9eBACxUYhA7YuKlPqD\nZl1uwVRUVODu3btwcXER6wwIIczuQm5uLg4fPox///0XQGX8/Lx585gzDaqqqkLx+PLy8hg3bhyW\nLl2KcePGVXMG9YWkp1ibok7WNrKBriE0I5KSknD//n0mS5Mo+Hw+Tp8+jX79+sHU1BTt27eHiYkJ\ns52lpKQkk0QctaGhodFsdbK2kQ10hNAM4PP5cHd3x82bN0U6g3/++QfOzs4AKncChg4dypzo43A4\nMDQ0bNBgKGmIjY1ttjpZ28gGOkL4f0JDQ2FnZwc1NTWkpKRg8+bN+PbbbyXS3r9/H+fPn0fr1q2h\nqqqKkpISqKioYMyYMYiOjsbWrVuRm5uLe/fuYcuWLUhKSsLw4cMxaNAgFBYWIiwsDH379sWqVavw\nv//9j5XdGRkZ+Pvvv5GamsqcQQgLC0NISAimT58ODocDZWVlqKqqghACDocDIyMj1p+PrJH2PEdT\n0MnaRjZQh4DK1FRjxoyBq6srhg8fjvDwcIwYMQK+vr41nicvKyvDzz//DD8/P7i4uAituCckJGDu\n3Lno1asXgMqAoPnz5+P9+/c4fPgwrly5wjw7Pz8fFhYWMDY2xpUrVzB37lyJ7Pb09ERgYCDi4+Ph\n7++P0aNHQ0lJCQUFBUhLS0NxcTFatWrVJBxAVbKyspg8AM1NJ2sb2UCnDAA2btyIXr16Yfjw4QAq\n52ra2tpYt25djboNGzbg2rVruHfvXrXtt969e8PV1bXaYSpRSTfatWuHCxcugBDCKhx506ZNyMvL\nQ15eHl6+fImUlBQAgK6uLlasWCEyOUdTQdpDPE1BJ2sb2dDiHUJRURFcXFygr68vdF1fXx9ubm7I\nzc0VqfPz88OxY8ewcOFCsV67Y8eOWL16tUR2qKmp4csvv2SVoejdu3fw8vKCuro6fv31V2YbT06u\n6f+11pbIpSnrZG0jG5r+v5w64u/vj5KSkmqZmrp37w4ej8fkTqyKo6MjCCH1lmQ1IyMDOTk51Y55\n1wSfz0dsbCzk5eVrzCpdn8jJyUFBQQGKiooN3k9z1cnaRja0+DUEwap81VX2Nm3aAKj8RRVFTUlW\no6OjcePGDWZvX1dXF0uWLBGbTTk/Px9WVlZYsWIFfvvtN4ltV1BQQP/+/aGiogI5OTnIycmBw+Ew\n/y/qT3l5OVq1alXtury8PPP/SkpKQn+UlZXB5XLRs2dPKCkpQUFBARwOh0kZX1BQgI8fP6KoqIh5\nfnl5Odq2bcvknOTxeODxeBJn/RGVaLe56GRtI6s+GryHJkLV+bYgWYiSkpLI9jUlWe3Xrx/Wr1/P\nnF//888/qwXwLF++HOrq6sjIyMCTJ09QVFSErl27QltbG4sWLRLZp4ODA5NZ6ocffsDWrVsByGYo\nyQYLCwsA/31GooiPj0d8fLysTGrRPH36VPK1KdLCef36NQFADhw4IHT90KFDBAB59uyZSN3EiRMJ\nAHL9+nWxz1ZXVyfq6upC17Zv304AkMjISOYal8slO3fuJBwOh8jJyRF/f/9a7dbV1a21DdV9njpZ\n28iGFr+GoKmpCVVV1Wol4ZKSkqCioiK2KpMgXdqtW7fqbEObNm1gZ2eH6dOng8/nM2XtKBRZ0+Id\nQtu2bWFubo5nz54JXff398fUqVPFbt1ZWloymYdevnxZL7bIIskqhVITLd4hAJUVnKOiopjDIyEh\nIfjw4QP27t0rVqOgoAA3NzcYGhpi2rRp1b7Vi4qKUFZWVi3TsLgkq76+vvjzzz+ho6MjUcl2Nglm\nqe7z0snaRjbQ48//j6+vLw4cOIB+/fohOTkZmzZtwpAhQ2rV8fl8/Pnnn7h58ybk5eXRvXt3FBQU\nIDExEXp6erCyssLAgQORm5uLu3fvYsuWLUhOTsa3336Lr776ipmupKSkwMzMDJs3b27Q2o4USk1Q\nh0ChUBjolKGJERoaCnNzc9jY2DCFYiTB29sbEyZMYFXUpri4GOvWrUOPHj3QqVMnTJs2DTExMbXq\nCCHYtWsXevbsifbt22PKlCk1FrsVxfLly1kl9gAqa1dyOBzmz8qVKyXWJiQkYP369di5cycuX74s\ndmoHANevXxfq59M/wcHBYnXnz5/H8uXLsXv3bvz88884fvy4xPbduHEDFhYWWLlyJcaOHdtwC88N\nvo9BqTcSEhJIly5dyKtXrwghhISFhZGOHTsKbWGK4sGDB2T+/PkEALl48aLE/S1btoxYWVmRGzdu\nkM2bNxMlJSXSu3dvkpubW6PuwIED5OTJk8Tf358cOnSIyMvLk1GjRknc7z///EM4HA4xMjKSWOPv\n70+mTZtGDh48yPxJTEyUSHv9+nViaGhY6+cowMTEhGzatImcO3eOODo6EkdHR7J+/XoycOBAsZo/\n//yTGBsbC1373//+R06fPl1rfy4uLmTQoEGkuLiYEELI27dviYqKCvHx8ZHIXjZQh9CEmDNnTrW9\n6LFjx5IpU6bUqg0JCWHlELKzs8m+ffuErjk4ONT6DD6fX+0f6ty5c0nr1q0l6jcvL49MmjSJDB8+\nnJVDmDNnDklPT5e4vYCrV6+Svn37kqysLInaJyYmioxN2bJlC7GzsxOrmzJlCrG2tha6tmHDBvLD\nDz/U2B+PxyMDBgwg9vb2QtfHjRtH9PX1JbKZDXTK0ESQ9hCWAGnOOlQ9mDVjxgwAqDFhqyDhyqd8\n+eWXjLY21q9fjz179oiNEBVFYGAgbt26hdmzZ+P333+vcbj/KZGRkViyZAlOnDghcYKYnj17YtSo\nUdWu37p1i4nQFEWXLl1w7do1JpU6IQTPnz/H+PHja+wvLi4OkZGR1ao2jRo1Cm/evGFOuNYX1CE0\nEaQ9hCWATaFVoPKkZlUnIsjDOHr0aImfk5OTg5SUFInmy/fu3YO6ujq0tbVZ2RoUFIQJEyYgJCQE\nv/zyC7755hv4+fnVqrOzs0Pnzp2RkJCA+fPnQ09PD5s3b0ZpaSmr/gMDA6GoqIivv/5abJv169dD\nXl4eo0aNgpeXF9auXQtDQ0OsWLGixmcLamhUzYTVpUsXAJVrH/UJdQhNBGkPYdUn9+/fh6mpKfT0\n9GptW1hYiPPnz2PYsGHw9vaGh4dHje2zs7Ph6OiIjRs3srbrp59+wr1795CamgonJydkZGRgwoQJ\nNWacLi4uxt27d9GnTx+YmJjgypUr2L17Nw4cOIA5c+aw6v+vv/6qcXQAAAMGDICXlxeUlZXx/fff\nIzMzE4cPH67VUffv3x9ycnJ48uSJ0HVBWvyOHTuysrU2qENoYrA9hFVflJaW4vTp0zhx4oRE7VVV\nVWFsbIz169eDEIIZM2YgOjpabPu1a9fiwIEDdcrizOFwYGlpifv37yMnJ4dJBy+KmJgYFBcXY8qU\nKUweiQkTJmDq1KlwcXFhTqpKQm3TBQHZ2dkwMjLCd999BycnJyxevLjW05/t27fH0qVL4ePjw+wQ\nxcXFwdXVFcrKykx27PqCOoQmgiAVW9W1AsGJQsEQsqHYuHEjduzYIXFGZnl5efTu3RvLly+Hm5sb\nKioq4ObmJrLtzZs3oaWlVW+Vib777juYmZnV6IAKCgoA/DfCEjBp0iQAldWuJMHf3x+tW7fGwIED\na2z3+vVrLF26FGfPnoWnpydmzZqFCxcuYP/+/bX2ceLECdjZ2eHIkSOYOHEi7t27h8TERMyYMYMp\no1dfUIfQRJD2EFZ9cO7cOXz99dcwNTWVSq+np4ehQ4dCRUVF5P2zZ89i7dq1Qvv5T58+xdOnT8Hh\ncHDp0iXWfWpoaDBOVBSCrNNVpxXdu3cHIHnpdUmmCwCwdetWmJiYoHXr1lBSUoKTkxPGjx+PU6dO\n1apVVFTEzp07ERQUhAcPHkBDQwPp6en49ddfJbKRDdQhNBGkPYRVV/78808UFxdjyZIlzLWCggJm\nDispFRUVYpO9Ojo6IiAgQOiPrq4udHV1ERAQgMmTJ7O2OzQ0FPPnzxd7X01NDYaGhnj69KnQ9ezs\nbHTq1Knabo44nJ2dmZOvNZGbmys0rZOXl8fKlSuZTNmSkp+fjxUrVuDYsWMYOnQoK61E1PtGJqXB\niIyMJO3atSOhoaGEEEKCg4NJ586dSUxMTK3aiIgIAoA4OjpK3N/ly5eJqakpefjwIfPn+vXrZNKk\nSaS0tFSkprCwkOzfv58EBAQw106ePEm2bt0qcb+EEGJkZCRRHEJxcTGZPn06+eOPP0hFRQUpLS0l\n9vb25MaNG7VqX79+TVRVVcmbN28IIZUxFMbGxuTMmTMS2fj27Vuip6cnUdvjx4+T/v37k5KSEuba\n7t27ybZt2yTSE0JIamoqGTt2LLl06ZLEGrbQjElNiP79++PRo0fYsmULcwjLy8ur1oKrPj4+uHDh\nAgDgypUr6NKlS63fupcuXcKiRYtACMHDhw+F7q1YsULsImZBQQGuX7+Obdu2QV9fH5qamhgzZkyt\n22vSoqioCAUFBdjY2GDXrl3Q19fH5s2boaOjU6vWwMAAjx49gr29PfT19ZGRkYGZM2cKjYZqQtLF\nRABYtWoVysvLYWFhAQMDAwCVGbglCa++fv06MjMzkZqainPnzmHAgAES9SkN9HAThUJhoGsIFAqF\ngToECoXCQB0ChUJhoA6BQqEwUIdAoVAYqEOgUCgM1CFQKBQG6hBaOLXlWkxNTcXs2bOxatUqmJub\n4/Hjx6zaBAUFYePGjeBwOFBUVMTu3bsRFRUFAHjx4gU0NTUhJyeHuXPn4vnz5w3zkp8JqampMkml\nXicaLAaS8tlTW65FLpdL+vfvz5Sry8rKIl9++SV58eIFqzaEENK1a1cybNgwoWt5eXmkX79+xNXV\ntZ7frOHx8/NjrTl8+DB58uRJA1hTf1CH0MKpKdfi5s2bSefOnQmfz2euLVy4kOjo6LBqQ0hlncvv\nvvuO+fnjx49k/Pjx5NGjR/X4NrIhKCiILF68mLVu8uTJhMfjNYBF9QedMrRwasq16OTkBD09PaGs\nPvr6+ggMDMT79+8lblOVwsJCTJs2DatXr641p+DnRnx8PCZPnoyKigpWutDQUAwaNAhycp/3r9zn\nbR2FNQ8fPoSmpiY4HA7mzJkDPp+P33//HW3atMHJkyertReXwispKQkJCQkiczgCwNu3byVqU5Xc\n3FxMnDgRK1aswMSJE1m9W3R0NNauXYslS5ZAR0cH8+fPR1ZWFnJycrB06VJwOBwMGTIEAQEBACoP\nWv3yyy/Q1dVFaGhojc8oKyvDzZs3YWJigsWLF+PVq1fQ1dXFF198AVtbWwCVjuz06dPIzs6Gj48P\nrK2tmaQvx48fx9atW7Fy5Uq0b98e69atE7L96tWrsLS0ZH6uqX1GRgY2bNiA5cuXY9iwYZg6dSpi\nY2OZ+wUFBVi3bh1++eUXmJmZwdjYmClDWGcae4hCqX/i4+NJhw4dyJgxYwifzye2trbE3d1dZNvY\n2FiRU4a3b98SAGTNmjVC1588eUIAkL1790rURoC6ujrR1NQkQ4cOJRMmTBCaYkhCRkYGMTU1ZY4P\nZ2Zmks6dOxNTU1Omja6uLjE0NBTS7dy5k7x9+7bWZxQVFZHo6GjSqlUr8s033xBHR0eSlZVFNm/e\nTAAIrRmoq6uTn376ifn5zZs3ZOrUqczPL1++JOvWrWN+5vP5QunWa2pfXFxMxo8fT3JycgghlVOr\nwYMHk8GDBxM+n0/KysqIvr4+uX//PvPsHj16EC0tLVafpzjo8edmSO/evXHmzBnMmjULCxcuRJ8+\nfTBhwgSpniVJDkdJ8zx+8cUX6Nq1K+7fvw9ra2ucPXtW4mzQZ86cAZfLxb59+5hrw4cPR3FxMfh8\nPuTk5LBmzRrMnTsXQUFB0NbWBo/Hw4cPH2BnZ1frM5SVldG3b1906tQJQ4YMYY5Az549G3v37kVY\nWBi+/fZbkbYlJyfj8ePHcHV1xdSpUzFixAihzM3Pnz/HyJEjJWr/119/ITk5GceOHWPaf/3118jI\nyEBWVhb++ecfZGZmMqMrDoeDixcvMinh6ky9uBXKZ8mcOXOIvLw8iY+PF9tG3AghLS2NACA///yz\n0HVnZ2cCgFy5ckWiNgIEi4olJSVk0qRJBACxsrKSeKRgZmZGli1bVmObsrIyoqamRhYsWEAIIeT2\n7dtCiVIkeUbVb39Rn0/VNiUlJWTChAkEAPn222/JX3/9JfRMa2troSpSNbVfuXIlGT9+vFj7VqxY\nIXFSFmmgawjNFD6fDw6Hg+7du2Pp0qWsU3V16dIFPXr0EJnDEQBGjhwpUZuqKCsrw8XFBWZmZjh3\n7hx+/vlniWwrLy+Hr69vtetZWVmMXlFREStWrMD169eRnp6OO3fuYPr06ayeIQ3Kyspwd3eHi4sL\nysrKMHPmTCbeoLS0FJmZmejZs6dE7cvLyxEUFFStNkRhYSEzGoqMjGRqZAgoLi5GWVmZ1O8ggDqE\nZsrevXuxcOFCXLx4EfBI8zMAAALjSURBVI8fPxa5oFgTHA4HixYtwosXL4R+Wfz9/WFoaIg+ffpI\n1EYUSkpKuH37NszMzHD27FmJnIKWlhaCgoLg5OQkdP3kyZNC0w4rKyvIycnBxsYGGhoaUFRUZP2M\n2qja9smTJ8jLy8O0adMQFBSENWvWwNHREbm5ubh//361xdOa2mtpaSE9PR0HDx4U0pw4cQIcDgff\nfPMN8vLy4OjoWKd3EEuDjT0ojYa7u7tQnUErKyuiqqpK/v3332pta8q1mJ2dTXr06MHECqSlpZEu\nXbqQ169fs2pDCCGdOnWqVpeytLSUjBw5kgAg8+bNE8o3WJX4+HjSvn17oqCgQJYvX07OnDlDZsyY\nQa5du1at7bJly4iSklK1Wo+SPENNTY3MmzeP+VkwZfj08xk6dCgxNDQk+fn55MGDB+T69etCi4h+\nfn6ke/fuhM/nkzlz5pD8/HwhO2pqz+Vyibq6OgFALC0tydmzZ8nSpUvJ/v37CSGVOSv79u1LlJSU\nyMaNG8mVK1fI/PnzydGjR8V+dmygDqGZcffuXdKuXTsmeSefzyc///wzAUD69OlDbt++zbR99eoV\nWbJkCQFARo0aRf7+++9qzwsPDyc//vgjWb9+PZk9e7bIQqc1tXn37h1Zv349AUAUFBTIli1bSFhY\nGCGkMijKwMCAACAAiIaGBvntt99IZmamyHcLCgoiY8eOJSoqKqR///7kjz/+ENnuw4cPZP78+aye\nUVJSQo4fP04AkJ49exIXFxcSHx9PbGxsCAAyZswY8u7dO0JIZYHYjh07ktGjR5P09HRy/fp1ps3W\nrVvJ0qVLSUBAAMnNzRVyLgLEtRcQFxdHJk+eTFq1akV69+5N9u7dKxTQFB8fT3744QeiqqpK+vbt\nS06ePCnyXaWB5lSkUCgMdA2BQqEwUIdAoVAYqEOgUCgM1CFQKBQG6hAoFAoDdQgUCoWBOgQKhcJA\nHQKFQmGgDoFCoTBQh0ChUBj+D2Z1Z0XXEiGPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 600, 750, 800, 900]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"4\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-1cpu-5gb\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|     2790| 3192| 4294|      36.0| 649.6797|0-12-16T11_14_51Z...|\n",
      "|  100|     38380|       1.0|     3514| 4494| 6372|      56.0|1485.4652|0-12-16T11_52_02Z...|\n",
      "|  150|     57380|       1.0|     3134|38862|71427|      66.0|1479.2935|0-12-16T16_01_44Z...|\n",
      "|  200|     76380|       1.0|    38907|74796|87649|      79.0|1553.9178|0-12-15T17_00_54Z...|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|    0|       380|     -14.0|     2790| 3192| 4294|      36.0|\n",
      "|  100|     38380|       1.0|     3514| 4494| 6372|      56.0|\n",
      "|  150|     57380|       1.0|     3134|38862|71427|      66.0|\n",
      "|  200|     76380|       1.0|    38907|74796|87649|      79.0|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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BwIEDmfbXr19j4cKFzJZGTU1NTJ8+Hfn5+Vi6dCl27dqFL7/8EkBtkUBnZ2dM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\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 100, 150, 200]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"1\", \"5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 1x-6cpu-30gb\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "|    0|       380|     -14.0|     2598| 2968| 3994|      25.0|1918.7555|0-12-14T10_01_13Z...|\n",
      "|  200|     76380|       1.0|     2678| 5838| 7695|      74.0| 4658.252|0-12-14T16_09_29Z...|\n",
      "|  250|     95380|       1.0|    39085|52763|65004|      91.0|6862.5713|0-12-14T11_02_19Z...|\n",
      "|  500|    190380|       1.0|   264491| null| null|      95.0|6035.8096|0-12-14T10_01_13Z...|\n",
      "+-----+----------+----------+---------+-----+-----+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|scale|throughput|missingPct|delayTime|  p50|  p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "|    0|       380|     -14.0|     2598| 2968| 3994|      25.0|\n",
      "|  200|     76380|       1.0|     2678| 5838| 7695|      74.0|\n",
      "|  250|     95380|       1.0|    39085|52763|65004|      91.0|\n",
      "|  500|    190380|       1.0|   264491| null| null|      95.0|\n",
      "+-----+----------+----------+---------+-----+-----+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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3795h4MCBCAgIqDA90fz582FlZcVknj148CACAgK+WukrCkUadJaeAx06dMC9e/eY4hAJ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\ngg==\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 200, 250, 500]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"1\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Last stage 101"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "last_stage=\"101\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-1cpu-5gb\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|    34147|  2570|  54068|       4.0|524.87897|0-12-17T18_44_45Z...|\n",
      "|  100|     19190|       1.0|    25777|  8011|  29599|      14.0| 842.8297|0-12-17T15_17_11Z...|\n",
      "|  400|     76190|       1.0|    48692| 22278|  52638|      41.0|2149.3948|0-12-18T15_44_53Z...|\n",
      "|  500|     95190|       1.0|    61619| 28984|  63755|      54.0|2284.0046|0-12-18T18_32_40Z...|\n",
      "|  600|    114190|       1.0|  1208707|694304|1207730|      65.0|1768.6343|0-12-18T06_00_03Z...|\n",
      "|  800|    152190|       1.0|   346597| 43132| 665591|      72.0|1592.1205|0-12-17T10_48_22Z...|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|    0|       190|       1.0|    34147|  2570|  54068|       4.0|\n",
      "|  100|     19190|       1.0|    25777|  8011|  29599|      14.0|\n",
      "|  400|     76190|       1.0|    48692| 22278|  52638|      41.0|\n",
      "|  500|     95190|       1.0|    61619| 28984|  63755|      54.0|\n",
      "|  600|    114190|       1.0|  1208707|694304|1207730|      65.0|\n",
      "|  800|    152190|       1.0|   346597| 43132| 665591|      72.0|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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4Ojoq1Laiew1c0HHBRmV0bKHOQEUQiUTYuHEjcwjp3ctcxIgvVJEXriTyoMlNFIc6AxXh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\n6gwoFAoA4H8IyA0tIXXDSwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 100, 400, 500, 600, 800]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"1\", \"5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 1x-6cpu-30gb\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|    43460|  1984| 59200|       2.0|1652.8647|0-12-18T00_30_34Z...|\n",
      "|  600|    114190|       1.0|    47868| 31438| 64154|      52.0| 17873.38|0-12-18T03_35_39Z...|\n",
      "|  700|    133190|       1.0|    55101| 38979| 56893|      61.0|  9340.48|0-12-18T09_53_53Z...|\n",
      "|  900|    171190|       1.0|  1130051|526365|838455|      58.0|2814.4458|0-12-18T12_48_13Z...|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|    0|       190|       1.0|    43460|  1984| 59200|       2.0|\n",
      "|  600|    114190|       1.0|    47868| 31438| 64154|      52.0|\n",
      "|  700|    133190|       1.0|    55101| 38979| 56893|      61.0|\n",
      "|  900|    171190|       1.0|  1130051|526365|838455|      58.0|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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qahQcHIx169axrgAN1C8pz5bKykql1XHBRkV0bKHOgCXl5eXw8/NjSqeLMDc3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\nYII=\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 600, 700, 900]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"1\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-6cpu-30gb\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|     1844|  1690|  6961|       1.0| 806.6023|0-12-24T12_14_31Z...|\n",
      "|    0|       190|       1.0|    24813|  1773| 33006|       1.0| 881.9435|0-12-23T17_35_03Z...|\n",
      "| 2000|    380190|       1.0|    52926| 17311| 56610|      28.0|12034.369|0-12-24T12_51_45Z...|\n",
      "| 4000|    760190|       1.0|    59342| 39598| 58106|      61.0|17721.502|0-12-23T10_48_19Z...|\n",
      "| 4400|    836190|       1.0|    60025| 43553| 61175|      67.0|15266.538|0-12-23T13_17_21Z...|\n",
      "| 4600|    874190|       1.0|    56716| 45834| 57877|      71.0|18147.463|0-12-23T18_12_24Z...|\n",
      "| 4700|    893190|       1.0|    60376| 45866| 60918|      74.0|16138.448|0-12-24T09_40_52Z...|\n",
      "| 4800|    912190|       1.0|    55040| 47051| 56916|      75.0| 18509.32|0-12-24T11_23_21Z...|\n",
      "| 5000|    950190|       1.0|   607211|575463|606240|      52.0|12175.706|0-12-23T15_48_05Z...|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|    0|       190|       1.0|     1844|  1690|  6961|       1.0|\n",
      "|    0|       190|       1.0|    24813|  1773| 33006|       1.0|\n",
      "| 2000|    380190|       1.0|    52926| 17311| 56610|      28.0|\n",
      "| 4000|    760190|       1.0|    59342| 39598| 58106|      61.0|\n",
      "| 4400|    836190|       1.0|    60025| 43553| 61175|      67.0|\n",
      "| 4600|    874190|       1.0|    56716| 45834| 57877|      71.0|\n",
      "| 4700|    893190|       1.0|    60376| 45866| 60918|      74.0|\n",
      "| 4800|    912190|       1.0|    55040| 47051| 56916|      75.0|\n",
      "| 5000|    950190|       1.0|   607211|575463|606240|      52.0|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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KiTSFZnMGJiYm6N27N4KDg1FcXNzg6D6Px6Md1Ue4Wu/9+/cS0+Tn56Nbt27S\nGdxBUVVVZXQyaggh4HK5iIqKQmRkJEJCQqCnp4cDBw5ASUkJPB4PNjY2MDAwQFRUFLy8vFBZWQkO\nhwMzMzN07ty5XnniWgB07TQ3N0dYWBjc3Nzw/Plz6Ojo0F57II5mcwYKCgrYs2cPVqxYgQMHDkjc\np3/58mXY2trSHlv47LPPoK+vj5cvX4q9n5+fD0D67klHpXb/lNE1rKmsrERGRgYGDRoEAHB0dKT+\nDjt37gwNDQ2Rge4LFy5Q/54wYQK6desm9onfXHVjs9no1asXkpKSwOVykZOTAxaL1eggvSSaNeie\no6Mj3rx5g8OHD4MQgq1bt1JP9rKyMpw7dw4mJibo27cvysrKAAClpaWN5nv06FHY2dlh//792L59\nO9jsmhnRpKQkODo6YufOnc1ZjU+autNVjO7/NHl5eQgPD0dkZCQiIyMRGxsLRUVF+Pv7Q05ODhMn\nToS1tTUMDAwwaNAgxMbGQl9fX2yeDT3xm7NuXC5X5P6bN29kdgbNvjfh2LFjuH//PmJjY2FgYABT\nU1M4ODhg586dmDJlCkaOHInAwEBs2LABAKi1/m/fvpWYp62tLR4/fozg4GCYmppi3LhxGDduHLZs\n2YJDhw5h5MiRzV2NNounpyd1yrMskY5UVFRkinQkDNMtbaQjDocjU6Sj/Px8mSIdcblcWnXi8Xg4\nc+YMXF1dqQVuP/30EzZv3gxXV1cIBALY2Nhg5cqVSExMREREBMzMzNC3b1+oqanh0aNH6N69u0yR\njrhcrkyRjvLz8+tFOurVqxcUFBQA1LTOe/ToAUC2SEfMWYvtFFn3JgibrR1Rl5GRgf/973+IjIzE\nq1evqGb3xo0bMW/ePGRkZKCgoAA6OjrUD+xj29iYzsnJCYWFhdROWT6fD29vb7x58waDBw/GuHHj\n6o0Z0J027TDnJjDU0F5OAWqKTji9FxkZiaioKNja2sLCwgKFhYW4fPkytLW1MXXqVBgYGGDo0KHU\nTFS/fv3Qr1+/j2Jjc+mE3RdZuwa1YZxBByMkJATW1taflE648KakpASOjo7gcrnU9J6Kigq1H0ZX\nVxfPnj2rNw3t4+PTZutWV9eSMN2Edoqs3QSBQEANwLZHHSEEmZmZ1FM/MjIS2tra2LNnDwghWLJk\nCQYMGIChQ4fCwMAA6urqjS7IaSt1o6MbPXq0SDeBDnS7CR0muAlDDXWDurR1XWVlJZKTk6nrS5cu\nhZ2dHbZv3w5PT0+oqKhQzWcWi4VJkyZRg9UDBgygtTKvvX0nLQXTMminfErBTWqv4x8yZAgMDQ0R\nHR1NTe8pKSnB19cXbDYbd+6bKWxOAAAgAElEQVTcQXV1NQwMDKCpqSnzApv2ipWVFdMyYGgehNNX\nra0jhODdu3d49uwZHB0dcePGDURHR+Ovv/6Ck5MTbt68CTabjTlz5mD37t0QCAQAgKlTp2LGjBnQ\n1tYW6whksbOtfCctpaML0zJop7SnlkFZWRnYbDY4HA5CQ0Nx9uxZJCQk1FvDL0RDQwO3bt1iVpWK\ngWkZMDQbwgUuLaUrKSnBo0ePcPbsWWzYsAGjR4/G8OHDERAQAKBmZR6fz4etrS22bt2KS5cuYe7c\nueBwOAAADoeDUaNG4d69ey1qZ1M17UlHF6Zl0E5p7dmEgoICJCQkUK/hw4fDxsYG6enpmDx5Mths\nNtTV1aGpqQktLS2MGTMGGhoaYvMWt3efzWZ/tJF6ZjahBmadQQfjyZMnUs1xV1VVISUlBUFBQViw\nYAGqq6thZ2cnctBsjx49qM08ampquHHjBjQ0NMDhcGjN4Ytbxy/r3L+09ZNV01q6loRxBh0MExOT\nRtPcunULkZGRSEhIQFpaGvh8PszNzbFgwQIoKChg3LhxUFVVhZaWFrS0tERiAbDZbOjp6UlVnqx2\nNpeuPdjYFB1dGGcgJbGxsdi5cyf69u2LzMxMbNu2Dd98843E9CUlJfjhhx+gpqaG169f4/Dhw9DW\n1q6X7vLly6iurqY2IbUUcXFx0NfXR2Jiokgzn81m4/fffwcAPH78GFlZWdDU1MTo0aOhqamJyspK\nKo/169dLVZ4s6/A/pq492CjUtSSMM5CC9PR0WFlZwcPDAxYWFoiPj8ewYcMQHBwsMVKtcFrs4MGD\n+O233zB//nwEBweLpImPj4e/vz+uXLnSrPby+Xykp6dTT/glS5agX79+OHDgALWTUFlZGZqamiLr\n3s+dO1dvo07trbLSIM1a/9bStQcbm6KjC+MMpGDLli3o378/LCwsAADa2towMDDApk2bJI70Pnjw\nAFOnTqXSv3z5EoWFhVRkpsrKSmzZsgWXL19ukm35+fno0qULFBQU8PDhQ1y9ehVJSUnUE53NZuO7\n776jTq0aN24ctLS00KdPn3qr9MTt2CsoKICamprUdrUHXXuwUahrSRhnQJOysjK4u7tj0aJFItdN\nTU1x9OhRFBQU1DtQFQCUlJSooBTV1dVgsVhQVFSk7m/btg0//vijTGHbrK2tMWjQICQnJyM3Nxc3\nb96Erq4u2Gw2unTpAgcHB6pfP3DgQHA4HOTk5EgMyNEQdLb0tldde7CxKTq6MM6AJmFhYaioqKDO\neRTSp08f8Pl8hIWFYcyYMfV0CxcuxO3btwHUHP46ZcoUatecp6cnVFVVqZaGtOTl5aGsrAw2NjbQ\n1NSkBvKsra0ljlYL5/Ol5VPWtQcbm6KjC+MMaPLu3TsAqBdFVxj4tfZUW21WrlwJBQUF/PTTT+Bw\nOLh+/TqAmijSLi4uuHXrFm0bLl68iIsXLwIAJk2aBHt7e+pecnJyi57ezNA2GDVqFADA39+ftsbf\n35/emhTapzJ2cG7fvk0AEGdnZ5HrFy9eJACIm5sb7bz4fD6ZMWMGyczMJIQQUlpaSvbt20f2799P\nrl69SisPIyMj+sYzujZTVmvo6MK0DGjSv39/APUHcYSHx/Tq1Yt2XgcPHsSCBQvQp08fADVdCW1t\nbezfvx8WFhaoqKho8SlGBoa6MHsTaKKrqwslJSVkZWWJXM/IyACHw6EOxWiMFy9eoKioCBMmTABQ\nsw7h77//hqmpKYCaWPiXLl1qXuMZGGjAtAxo0rVrV0yfPh1Pnz4VuR4WFgZ7e3t89tlnjeZRWFiI\no0ePwtXVlbpWXl4OgUBA7dBTVFREeXl5o3nJ2nJgdK1bVmvoaNOinZBPjISEBKKiokJiY2MJIYRE\nR0cTVVVVkpycTEu/cOFC8ubNm3rXhw4dSk6dOkUIIWTy5Mlk5cqVzWc0AwNNmJaBFGhqauLBgwfY\nvn07Bg0aBC6XC19fXwwcOLBR7YULFzB69GhoaWnVu+fq6oqtW7fi3bt34HA4OHDgQEuYz8DQIMwW\nZgYGBgDMACIDA8N/MM6gnbJ3716ZdKGhoYyuFctqqs7KygqGhobw8/Oj/aIL4ww6GG3hFKC2pmsP\nNjZFRxfGGXQwhAeoMrrWKas1dHRhnEEHQ1LchY6saw82NkVHF8YZdDDqrqBkdO3Dxqbo6MKsM+hg\nCHdZMrqPU5ZAIEDt2XsWi4XOnTtTh8LUhsViNXgcnKx20oVxBgwMzUB1dTVyc3ORmpqKzMxMlJaW\norS0VCR2pNAp8Hg8yMvLS/zhC6/XvV9dXQ0ulwuBQICXL1+K3COEwNjYuEnHzTHOoIMh6RSjjqyT\nRiMQCJCfn4/09HREREQgMDAQZWVlKCsrQ2lpKXg8ntTlS4Mwalbd/SsKCgpo6vpBxhl0MITbphld\nwxpCCIqKipCZmYnU1FQUFhZSP/qysjKRJ/6nAuMMOhiJiYno3bs3o6vF69evUVxcjNTUVOTl5VFN\n/PLyclo7SD8VmNmEdoanpye1lTUtLQ3x8fGIjo4Gl8tFcHAwioqK4OPjA4FAQEVsFp7e6+HhgaFD\nh8LHxwdFRUUIDg4Gl8tFdHQ04uPjkZaWhtDQUOTl5cHPzw9VVVXw8vIC8H+h0t3d3QEA3t7eKC0t\nRUBAALKzsxEREYGkpCQkJSUhIiIC2dnZCAgIwODBg6mw7EKt8N3LywtVVVXw8/NDXl4eQkNDqTpx\nOBzadRIIBFSdBAKBxDr5+PggOTkZzs7OuH37No4ePYqzZ8/ixYsXuHnzJgICAhAXF4f09HTk5+e3\nK0fA5/MB1JzrUfs9MTGRdh7MRqV2iqxnLXp7e2PcuHGftM7a2hq5ubl4+/YtuFwuiouLUVZWhvLy\ncpSWllI/nPaIMKR+3SjdCgoKMDU1hbx8/cY+c9Yig1hk+YG1VZ1AIEBBQQEyMjKQlpaG4uJilJaW\n4vTp0ygvL0dVVZVMZXdUGGfQwXB3d8e0adPalY4QguLiYmowr6CgAKWlpdTTvqKiQur8GerDOIMO\nhiw/zI+pKysrQ3Z2Nrp164a//vpLZDCvrKxMJhsY6ME4gw5GW2wZlJeX48mTJ3j79i3Vrxe3Qq8j\nwefz4evri5SUFAwcOJA6L6GgoAAVFRXw8fHBqFGjmrTIqC4dxhn4+fnh4MGDmDNnDhYsWCA2zbp1\n63DixAnq88SJE6nR9IZ4/vw5zpw5AzabDWVlZVRWVkJOTg5WVlZ4/fo1Dh48iMrKSty5cwc///wz\nXr16BQMDAxgYGKCqqgrx8fFQVVXFsmXLMH369GarszjaUsugrKwMjx8/RkpKSoufI/ixEfdjluaH\n6+vri+DgYFRXVyM7O5u6XlxcDEIIgoKCAEDiyVmy0CGcwf379+Hq6oqHDx9i9uzZYtNkZWUhLi4O\nR44coa4Jw5k3xK5du3D9+nXcuXMHhoaG1PW8vDwsW7aMOolJUVERs2bNQm5uLlavXo2jR49S/5EV\nFRVwdHSEg4MDfvrpJ2zbtq0p1W0QLy8v2NnZtaqutLQUPj4+1GKeTwHhgKWKigqAmpiXubm5EAgE\nyM7OBiEENjY2tPIihCAlJYVabcjj8ZCSkkLdq3utuWjSOoOoqCisXbsWPXv2RElJCZYvX47u3btD\nR0cHoaGhSElJga2tLZSUlGBubk7tuuLxeDh06BDWrVuH0aNHw8zMDL6+vk3KsyHGjx8PJyenBtMc\nOXIER44cwaZNm6iXnp5eg5oTJ05g//79cHNzE3EEQM0xbDdv3qx3GKuysnK9fDgcDs6dOwcVFRXs\n37+f+iNoCcaOHdtqupKSEnh4eOD3339HREREu3MEtbsu4eHhCA4Opj5fvXoVnp6e1OcPHz5Q6Xk8\nHgIDA0XSS4LL5cLZ2RlqamoiLYm8vDwUFRVRn+Xl5WkF4pWGJjkDJSUlJCcnIz8/H87OznByckJA\nQADy8vLw/fff488//8TFixfx7NkzREVF4eDBgwAAR0dHjB49Gr/99huePHkCPT092NnZITU1VeY8\n6dgqiXfv3uHChQtYtmwZDhw4gNzc3Ebzy8zMhJOTEyZMmCDxABVFRUXaT3klJSUMHjwYFRUVKCkp\noaWRhRcvXnx0XXFxMdzd3fH7778jMjKyXTiBrKwsxMTEUJ/v3r1LnXMJgFrsJcTKygrDhg2jPhsb\nG1Nz/vLy8vjiiy+oU7eKiorg4uKCrKws8Pl8+Pj4wNnZGT4+PpCTkwOPx8PXX38NCwsLdO7cGWw2\nm/q76NSpEzp16gRzc3NqHKG5aFI3QUtLCwYGBvDy8sL69eup66NHj0ZwcDC2bNkCAFBXV4eBgQHi\n4uKQmpqKv/76C/369cO9e/cA1CyYMDExQUJCAmxsbKTOkw4NbQ0NCwuDjY0NIiIisHPnTpw5cwZX\nr15t8Gl47do1VFZWNjofXvsPpCGqqqqQnJyMUaNGiT3avbkYMmTIR9MVFRWBy+UiPDycOoaurVBV\nVYW8vDxqX0JYWBgiIyOxcOFCsFgshIeHIyIiAnp6emCxWFBXV0e3bt0ovYODg8iTu25IMuEPVdyY\nQWFhIfLy8qCgoABfX18EBQWBx+NRYwOOjo5gs9no06cPUlJSUFpaKpJ3nz59MGTIEFy+fBnTpk1D\njx49muU7afKYgbgVT+KewoqKiqiqqkJoaCiqq6uxe/duiT9QafNsKhMmTKDGB+7fv49ly5ZhypQp\nCAsLg66urlhNWFgYAEBDQ6PevXfv3sHV1ZUa5NHR0cHSpUuhpqYmNq+KigqsXbsWtra2OH36tEQ7\n657CnJaWhoqKClRXV6N79+7IyMiAjo4OQkJCMHr0aNy9exf29va4c+cOpk6dCg8PD6ipqSE8PBwm\nJiaIi4tDv379UFBQAAUFBXA4HOTm5mLAgAF49eoVhg0bhocPH8LOzg537tzBkiVLqNkBb29vjBgx\nAhEREdDU1ERWVha13/7du3dITk4Gl8tt1Q09fD4fLBYLbDYbGRkZCA8Px9ixY6GoqIiQkBA8evQI\nTk5OUFJSApvNhoKCAng8HhQUFDB8+HAMHz6cysvAwEAk78YGA+Xk5CQO7qmrq2PNmjVgsVhISUmh\ndjoKxwHY7P9rsA8cOBDZ2dnUtmfhsewcDgcVFRUoLi5Gjx49RJYj6+rqUu+JiYltdwVidXU1Kioq\nEBkZWa+f/f79e3z++ecf2yQRxo8fD19fXxgYGODUqVM4e/as2HTCJ504Z/TFF19g7dq1uHDhAuLi\n4pCdnV3vYNadO3fC1dUVBQUF8PX1RUFBAbp164azZ89i+/btYstctmwZtS9h7969UFdXF7kvdDbC\nP0Lhke1Tp06lPqelpcHExAQAYGZmJqIDQOUp/AMSDv4JB7+EswPCFpHwB9O7d29q/X9GRkaLdnXE\nUVJSgjdv3kBLSwtdunRBfHw8/vzzTyxfvhy9e/fGhw8f8Pr1a1hYWEBRURHa2tro3r079aM2NDQU\n+XsUDgS2FMIHYd0fe91xgLotjPT0dMq+lStXUvkI6yF8eAnfpQmV9tGdwdChQwEATk5OuHfvHlWJ\nR48e4bPPPmt1ZwDUfIGLFy9GfHy8xDSDBg0CAIlpWCwWevfujbi4OLEnNO/fv19kNuHq1atYs2YN\nduzYAX19fUyZMqUZalIfWVfrNaTLzc2Fj48PuFxuizkBPp+P9+/fQ1lZGcrKysjNzYW7uzusra2h\noaGBwsJC3L17F7NmzYKOjg4+//xzDBs2DIqKigBqWme1B4RVVVWhqqraIrZKg7juRG3qtjCEexOA\nmr8xgUBATVU3lSY7A2ETh8/nUz9sgUBQb9EIIQQCgQB6enqYNm0a3N3dMXLkSMyZMwfv3r3Dmzdv\n8Oeff8qUZ0ugra3d4Iq3GTNm4OzZs7h9+zY1jiErHA4Hy5cvR0JCAn799Vc8fvy4xZyBrDMV4nTZ\n2dl4/PgxFdlHVmrPyX/55ZewtrYGn8/Ho0ePMHjwYGhpaaG0tBTnz5/HhAkTYGpqCiUlJXA4HOrJ\nKGyNCZ/oPXr0EPkR1W56tyUa6k7QIS0tDXfu3IGfnx/i4uKwZMkSmRciNekb8vf3p7aSHjhwADk5\nOfj777/h4+ODzMxMnDp1CoWFhbh48SLCw8MRGRmJq1evwsXFBWvWrEF8fDx27dqF9PR0qi8sa57N\nTWhoKBwdHSXet7S0xPTp0xEWFoabN282S5nCffh9+/ZtlvzEIevgZG3du3fvcOPGDVy7dg0JCQky\nOwKBQICysjJqgY1wy7Kvry/k5eURGxuLvLw8ADXx/xwcHKCtrQ0A6Ny5M+bPn081q+Xl5dG9e/c2\n+6NvKZKSkiAnJ4eCggLcuXNHpOUgLU1qGVhaWopMvwDAd999h++++07kWu2+rpATJ06IrPZrjjwb\novYCjrosWrQIenp6WLNmDRQUFHDx4kUMGTIExsbGDeZ57do1VFdXY+nSpZCXl8eMGTNEyhP3I5H0\nw0lISMCpU6fw5ZdfYunSpbTrJS0ZGRkSBzIb07FYLDx58gRZWVky7xMQCATUD9bZ2RndunXDhw8f\nqP8fgUBADaJt2rSJ0rFYLHz11Vcylfkpk5KSQg0eVlZWUgPbstAhViAGBgbi0qVLAGp+wL169cLk\nyZOp+8LFPseOHYOpqSnWrVtHaw5XSUkJHh4e8PT0xLVr13Dp0iWoq6ujvLwcb9++hZGREc6fPw+g\n5j/K3d2d+rx27VpqsOv9+/dITk7G+PHjsWvXLvTs2bMFvoUaZDmVJyMjAzExMfD3929SwI+HDx8i\nOTmZanGZmJiAw+EgMzOzwUE0BsnUHoBUVFTEN998I3NeTHCTdoqswU18fHxo91HT0tLg5+eHd+/e\nyTTwGBMTg2fPnmHJkiWQl5dHVFQUsrOzMXr0aJF+bVPX8Xck6gY3EX53qampGDFiBBYvXlzvu2uz\nU4sMrcvo0aMbTZOSkgJ/f39kZ2dL5QRycnLg5+cHGxsbdO/eHYqKilBWVkZpaSlUVFSomaS6NHUQ\nrSMj/O6EkY6YUOkMtBEuRBJHUlISnj59iuzsbFqLhSoqKhAcHAwNDQ30798fcnJySE9PR0FBAbp3\n7w5NTc0WPxKMoflgnEEHo64jIIQgMTERz549Q3Z2doMrOgkhiI+PR6dOnaChoQE5OTk8f/4c8vLy\n6N+/P3r27IkNGzY0uPSboe3COIN2hqenJzw9PaGmpibTcmSBQICuXbvC2NgYT58+BZfLRX5+vsTD\nPwoLC1FYWIgBAwaAxWLh0aNHUFVVhYaGBhQUFLBx40ZqiSzQ8B4QhpajOZYjMwOI7RRZBxAJIXj9\n+jUCAwORk5NTbzERn89Hbm4utebh1q1bePfuHdatWwcWi4X8/Hx07dpV7P4RhpaHiY7M0GQIIYiO\njsb9+/fB4/FEnEB5eTm1ms/Pzw8BAQFwcnKCoqIiRo0aJXIuYHPtkGNoezDO4BOHEILIyEiEhIQg\nJycHPB4PhBAQQsBmsxEXF4c///wTjo6O6N27N4YMGYIvvviCWhj0xRdftHINGD4WjDP4RCGEIDw8\nHP/++y9ycnKoPmVBQQEVq0FPTw9qamr49ttvqQ09vXr1EruxiuHTh3EG/xEbG4udO3eib9++yMzM\nxLZt22iv5vrnn3/wxx9/QFlZGUpKSqioqACHw4GVlRWSkpKwY8cOFBQUwNPTE9u3b0dGRgYsLCyg\no6ODkpISxMXFQUNDA6tXr8aYMWOaVA+BQIDQ0FCEhYXh/fv3qKqqwu3bt6Gurg4LCwt07doVampq\nVHyILl26NLlMhk8DxhkASE9Ph5WVFTw8PGBhYYH4+HgMGzYMwcHBDc6TV1VV4YcffkBoaCjc3d1F\nltG+ffsW8+bNQ//+/QHUbPSZP38+oqKi8Ouvv+LatWtU3kVFRZg5cyZsbGxw7do1zJs3T+o6CAQC\nvHz5EhEREfjf//6HiooKWFlZ1VuEIicnBwcHB6nzZ/j06VhbvCSwZcsW9O/fHxYWFgBqti8bGBiI\nbJQRh5OTE27evAlPT8966+m//PJLeHh41JuyExcQVUVFBZcuXQIhROoZAj6fj9OnT8Pe3h6PHj1C\ndnY2MjMzqajMADBr1iyqbgwMkujwzqCsrAzu7u4wNTUVuW5qagovLy+J8fxDQ0Nx4sQJLFq0CP36\n9RObpkePHli7di0tO/r27YvPP/+cVjBWIV999RVOnz4Nd3d3+Pj4UEuH7e3tMWvWLNr5MDAAjDNA\nWFgYKioq6kVY6tOnD/h8vsQtoc7OziCENFtA1JycHOTn59fbqt0Qr1+/xtGjR2Fubo5NmzahU6dO\nANpuIA+Gtk2HHzMQNqfrbhsWBvfMyckRq2soIGpSUhJcXV3x6tUrAICRkRGWLFkiMbBIUVERli9f\njpUrV+KXX36Ryv7s7Gx06dIFLBaLWgsg/HfdF1DTrRCuG2joVTef6upqKCoqNqqr+yorK4OysrLY\nvOXk5MBms6l3FotFRa8qKipC586dIRAIqKlQ4fo4SZ+BmngRwsHRhtLVvldRUQFFRUVa+dd+r6qq\nohb5NFYOn8+nXpJWe9aGxWJRzl24T6RTp07gcDhgs9lQU1NDaWkpKisrUVVVRZXXFDq8MxDy2Wef\niXwWTsUJ/0Pq0lBA1EGDBmHz5s1UjL0bN27UG8hbsWIF1NXVkZOTg8ePH6OsrAy9e/eGgYEBvv/+\ne7Fl1o2OvGfPHok2MLRvCCH1NotVVVVRJ4Jxudx6moCAALF5+fv70xuLIh2coKAgAoAcPnxY5PrR\no0cJAPL06VOxugkTJhAA5NatWxLzVldXJ+rq6iLXdu/eTQCQhIQE6tqHDx/Ivn37CIvFImw2m4SF\nhTVqt5GRUaNpGF3bK6s1dHTp8J1LXV1dKCkp1TumLSMjAxwOR+JpScIQZ7dv326yDV26dMHOnTsx\nbdo0CAQC6qg5BoaPSYd3Bl27dsX06dPx9OlTkethYWGwt7ev130QMnfuXJibm+POnTsSm2fS8jEC\nojIwSKLDOwOg5iTlxMRE6qi2mJgYvH79Gj///LNEjby8PLy8vGBubo6pU6fWe5qXlZWhqqqq3pZe\nSQFRg4ODcePGDRgaGtI6/lyaYLCMru2U1Ro6ujBbmP8jODgYhw8fxqBBg8DlcrF161bo6+s3qhMI\nBLhx4wb+/PNPyMnJoU+fPiguLkZ6ejpMTEywfPlyDB48GAUFBbh79y62b98OLpeLb775BgMGDKC6\nKJmZmbCzs8O2bdta9KxFBgZJMM6AgYEBANNNaHfExsZi+vTpWLNmDXWICx38/Pxga2sr1YEz5eXl\n2LRpE9TU1NCzZ09MnToVycnJjeoIIdi/fz/69euHbt26YcqUKWKnwhpixYoVtINyCLG3txdZz7Bq\n1Sra2rdv32Lz5s3Yt28frl692uDBMLdu3ZK4rqL2Me11+eOPP7BixQocOHAAP/zwA06ePEnbPldX\nV8ycOROrVq3CqFGjWmaQuUXnKhialbdv35JevXqRFy9eEEIIiYuLIz169BCZphTHvXv3yPz58wkA\ncvnyZdrlLVu2jCxfvpy4urqSbdu2kU6dOpEvv/ySFBQUNKg7fPgwOX36NAkLCyNHjx4lcnJyZMSI\nEbTLffjwIWGxWMTS0pK2JiwsjEydOpUcOXKEeqWnp9PS3rp1i5ibmzf6PQoZN24c2bp1K7lw4QJx\ndnYmzs7OZPPmzWTw4MESNTdu3CA2NjYi18aMGUPOnj3baHnu7u5ER0eHlJeXE0IICQkJIRwOhwQG\nBtKyly6MM2hHzJkzp95c86hRo8iUKVMa1cbExEjlDPLy8sjBgwdFrl28eLHRPAQCQb0/0nnz5hFl\nZWVa5RYWFpKJEycSCwsLqZzBnDlzSHZ2Nu30Qq5fv040NDRIbm4urfTp6eli155s376d7Ny5U6Ju\nypQpxNHRUeSak5MTmTRpUoPl8fl8oqWlRfbs2SNy3drampiamtKymS5MN6GdIOuGKiHCJbrSUHeT\nlXDrs/D8Q3GwWCyYm5uLXPv8889pb5vevHkzfvrpJ4krP8URERGB27dvY/bs2Th+/Djtsx8TEhKw\nZMkSnDp1ivYpVv369cOIESPqXb99+zZmzpwpUderVy/cvHmTOrWbEIJnz55h7NixDZaXmpqKhISE\neidGjxgxAi9fvkRmZiYtu+nAOIN2gqwbqoRIG7W4R48e9RyIMG7iyJEjaeeTn5+PzMxMWv1jT09P\nqKurS328eGRkJGxtbRETE4MNGzbg66+/RmhoaKO6nTt3QlVVFW/fvsX8+fNhYmKCbdu20TozojYR\nERFQUFBo8CzIzZs3Q05ODiNGjICvry82btwIc3NzrFy5ssG88/PzAUBkSzoAKhrV27dvpbK1IRhn\n0E6QdUNVc/LPP/9g/PjxMDExaTRtSUkJ/vjjDxgbG8PPzw8+Pj4Nps/Ly4Ozs7NMx9svWLAAnp6e\nyMrKgouLC3JycmBra4v3799L1JSXl+Pu3bsYOHAgxo0bh2vXruHAgQM4fPgw5syZI1X5f/31V4Ot\nAgDQ0tKCr68vFBUVMXr0aLx//x6//vpro05aU1MTbDYbjx8/FrleUlICoHkD1DLOoJ0h7Yaq5qKy\nshJnz57FqVOnaKVXUlKCjY0NNm/eDEIIHBwckJSUJDH9xo0bcfjw4SYdD8ZisTB37lz8888/yM/P\nb/B48uTkZJSXl2PKlCkYMGAAAMDW1hb29vZwd3endpzSobEugpC8vDxYWlpi+PDhcHFxweLFiyEQ\nCBrUdOvWDUuXLkVgYCA1E5SamgoPDw8oKipCXV2dtp2NwTiDdoIwfFrdsQHh7smWDmK6ZcsW7N27\nF4MGDaKVXk5ODl9++SVWrFgBLy8v8Hg8eHl5iU37559/YujQoTKdEC2O4cOHw87OrkHnU1xcDOD/\nWlZCJk6cCKAmVgQdwsLCoKysjMGDBzeYLigoCEuXLsX58+fx5MkTzJo1C5cuXcKhQ4caLePUqVPY\nuXMnjh07hgkTJsDT0w56/WMAAAr7SURBVBPp6elwcHCgAtk2B4wzaCfIuqGqObhw4QK++uorjB8/\nXia9iYkJhgwZInLyUm3Onz+PjRs3iszX+/v7w9/fHywWC1euXJG6TG1tbcqBiuPLL78EgHpdiT59\n+gBAvQE7SdDpIgDAjh07MG7cOCgrK6NTp05wcXHB2LFjcebMmUa1CgoK2LdvHyIjI3Hv3j1oa2sj\nOzsbP/74Iy0b6cI4g3aCrBuqmsqNGzdQXl6OJUuWUNeKi4upPitdeDweLC0txd5zdnZGeHi4yMvI\nyAhGRkYIDw/H5MmTpbY7NjYW8+fPl3i/b9++MDc3h7+/v8j1vLw89OzZs96sjSTc3NyoHawNUVBQ\nINKVk5OTw6pVq6QOSlJUVISVK1fixIkTGDJkiFTaRmnWiUqGFiUhIYGoqKiQ2NhYQggh0dHRRFVV\nlSQnJzeqffPmDQFAnJ2daZd39epVMn78eHL//n3qdevWLTJx4kRSWVkpVlNSUkIOHTpEwsPDqWun\nT58mO3bsoF0uIYRYWlrSWmdQXl5Opk2bRn7//XfC4/FIZWUl2bNnD3F1dW1UGxQURJSUlMjLly8J\nITVrJGxsbMi5c+do2RgSEkJMTExopT158iTR1NQkFRUV1LUDBw6QXbt20dITQkhWVhYZNWoUuXLl\nCm2NNDCRjtoRmpqaePDgAbZv305tqPL19a0XmbkugYGBuHTpEgDg2rVr6NWrV6NP2ytXruD7778H\nIQT3798Xubdy5UqJA5bFxcW4desWdu3aBVNTU+jq6sLKyqrRKTRZUVBQgLy8PNasWYP9+/fD1NQU\n27Ztg6GhYaNaMzMzPHjwAHv27IGpqSlycnIwY8YMkVZQQ9AdOASA1atXo7q6GjNnzoSZmRmAmkjZ\ndJZM37p1C+/fv0dWVhYuXLgALS0tWmVKC7NRiYGBAQAzZsDAwPAfjDNgYGAAwDgDBgaG/2CcAQMD\nAwDGGTAwMPwH4wwYGBgAMM6AgYHhPxhn0MFpLDZiVlYWZs+ejdWrV2P69Ol49OiRVGkiIyOxZcsW\nsFgsKCgo4MCBA0hMTAQAPH/+HLq6umCz2Zg3bx6ePXvWMpVsI2RlZbV4uPMm0SLrGhnaBY3FRvzw\n4QPR1NSkjpDLzc0ln3/+OXn+/LlUaQghpHfv3sTY2FjkWmFhIRk0aBDx8PBo5pq1PKGhoVJrfv31\nV/L48eMWsKZ5YJxBB6eh2Ijbtm0jqqqqRCAQUNcWLVpEDA0NpUpDSM25k8OHD6c+l5aWkrFjx5IH\nDx40Y20+DpGRkWTx4sVS6yZPnkz4fH4LWNQ8MN2EDk5DsRFdXFxgYmIiEo3H1NQUERERiIqKop2m\nLiUlJZg6dSrWrl3baAzAtkZaWhomT55M61j12sTGxkJHRwdsdtv9ybVdyxhk4v79+9DV1QWLxcKc\nOXMgEAhw/PhxdOnSBadPn66XXlLYrYyMDLx9+1ZszEUACAkJoZWmLgUFBZgwYQJWrlyJCRMmSFW3\npKQkbNy4EUuWLIGhoSHmz5+P3Nxc5OfnY+nSpWCxWNDX10d4eDiAmk1TGzZsgJGREWJjYxvMo6qq\nCn/++SfGjRuHxYsX48WLFzAyMkLnzp2xbt06ADVO7OzZs8jLy0NgYCAcHR2pgC0nT57Ejh07sGrV\nKnTr1g2bNm0Ssf369euYO3cu9bmh9Dk5OXBycsKKFStgbGwMe3t7pKSkUPeLi4uxadMmbNiwAXZ2\ndrCxsaGOBmwSrd00YWh+0tLSSPfu3YmVlRURCARk3bp1xNvbW2zalJQUsd2EkJAQAoCsX79e5Prj\nx48JAPLzzz/TSiNEXV2d6OrqkiFDhhBbW1uRbgUdcnJyyPjx46ktwO/fvyeqqqpk/PjxVBojIyNi\nbm4uotu3bx8JCQlpNI+ysjKSlJREPvvsM/L1118TZ2dnkpubS7Zt20YAiIwRqKurkwULFlCfX758\nSezt7anPAQEBZNOmTdRngUAgEhK9ofTl5eVk7NixJD8/nxBS053S09Mjenp6RCAQkKqqKmJqakr+\n+ecfKm81NTUydOhQqb5PcTBbmD9BvvzyS5w7dw6zZs3CokWLMHDgQNja2sqUF52Yi3TjMnbu3Bm9\ne/fGP//8A0dHR5w/f5521OZz587hw4cPOHjwIHXNwsIC5eXlEAgEYLPZWL9+PebNm4fIyEgYGBiA\nz+fj9evX2LlzZ6N5KCoqQkNDAz179oS+vj61jXn27Nn4+eefERcXh2+++UasbVwuF48ePYKHhwfs\n7e0xbNgwkQjLz549w7fffksr/V9//QUul4sTJ05Q6b/66ivk5OQgNzcXDx8+xPv376lWFYvFwuXL\nl6kwbk2iye6Eoc0yZ84cIicnR9LS0iSmkdQyePfuHQFAfvjhB5Hrbm5uBAC5du0arTRChAOIFRUV\nZOLEiQQAWb58Oe0Wgp2dHVm2bFmDaaqqqkjfvn3JwoULCSGE/P333yJBTujkUfepL+77qZumoqLi\n/7d3f6HstmEcwL/TzJ8TolYzEakdUZxwMOKEE5REISsyY6QcrBTHIidiZaKUZKVMFCk5k6ihpURO\n7Mwa+ZPCVvu+B1jvY7N3+729vaXrc7an67m776d29Tx3d9fFuro6AmBZWRnX1tYUY/b19Sm6O8WK\nHxwcZG1t7Y/zGxgYiLugSqJkz+CXCoVCUKlU0Ol0MJvNCZfX0mq10Ov1UWsuAoDRaIwr5ruUlBS4\nXC7U19djfn4eVqs1rrkFg0EcHx9HXL+7uwvfn5ycjIGBATidTvh8PmxsbCja28czxp9ISUnB7u4u\nXC4XAoEAWltbw+cJ3t/f4ff7kZubG1d8MBiEx+OJ6N3w8vISfgu6vr4O97D48vr6ikAg8MdrAGQD\n8dcaHx9HV1cXlpaWsLe3F3XzMBaVSoXu7m4cHBwo/iinp6eoqKhAQUFBXDHRaDQarK+vo76+Hg6H\nI66EUFJSAo/Hg5WVFcV1u92u+NSwWCxISkrC0NAQDAYDkpOTEx7jn3yP3d/fx+PjI5qamuDxeDA8\nPIyFhQU8PDxge3s7YqM0VnxJSQl8Ph+mpqYU98zOzkKlUqG0tBSPj49YWFj4V2uI6j953xD/q93d\nXUXfP4vFwrS0NJ6fn0fExqqNeH9/T71eHz4LcHt7S61Wy6Ojo4RiSDI7OzuiT+T7+zuNRiMBsLOz\nU1Ef8Duv18vMzEyq1Wr29/dzbm6OLS0tXF1djYjt7e2lRqOJ6L0Yzxg5OTns7OwM//76TPj78yku\nLmZFRQWfnp64s7NDp9Op2DA8OTmhTqdjKBRie3s7n56eFPOIFf/8/Mz8/HwCYEdHBx0OB81mMycm\nJkh+1JgsLCykRqPhyMgIl5eXaTKZOD09/eOzi5ckg19ma2uLGRkZ4UKboVCIVquVAFhQUMD19fVw\n7OHhIXt6egiAlZWV3NzcjBjv6uqKzc3NtNlsbGtri9p0NFaM2+2mzWYjAKrVao6OjvLy8pLkx4Gn\n8vJyAiAAGgwGTk5O0u/3R12bx+NhTU0NU1NTWVRUxMXFxahxFxcXNJlMCY3x9vbGmZkZAmBubi5d\nLhe9Xi+HhoYIgNXV1XS73SQ/mrVmZWWxqqqKPp+PTqczHDM2Nkaz2cyzszM+PDwoEsuXn+K/3Nzc\nsLGxkenp6czLy+P4+LjisJLX62VDQwPT0tJYWFhIu90eda2JkhqIQggAsmcghPgkyUAIAUCSgRDi\nkyQDIQQASQZCiE+SDIQQACQZCCE+STIQQgCQZCCE+CTJQAgBAPgLwg2gLhLkkBUAAAAASUVORK5C\nYII=\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2000, 4000, 4400, 4600, 4700, 4800, 5000]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-4cpu-20gb\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|    56475|  1704|  59742|       1.0|617.66003|0-12-19T15_30_34Z...|\n",
      "| 2000|    380190|       1.0|    44102| 26072|  50283|      41.0| 9312.286|0-12-19T17_05_57Z...|\n",
      "| 3000|    570190|       1.0|    55820| 41131|  55422|      66.0|12461.232|0-12-20T08_12_45Z...|\n",
      "| 3100|    589190|       1.0|    45820| 42517|  50204|      69.0|12253.572|0-12-21T16_03_24Z...|\n",
      "| 3250|    617690|       1.0|   822626|502748| 788381|      62.0|11071.525|0-12-20T13_30_02Z...|\n",
      "| 3500|    665190|       1.0|  1301844|645528|1096182|      54.0| 9585.943|0-12-20T10_46_10Z...|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|    0|       190|       1.0|    56475|  1704|  59742|       1.0|\n",
      "| 2000|    380190|       1.0|    44102| 26072|  50283|      41.0|\n",
      "| 3000|    570190|       1.0|    55820| 41131|  55422|      66.0|\n",
      "| 3100|    589190|       1.0|    45820| 42517|  50204|      69.0|\n",
      "| 3250|    617690|       1.0|   822626|502748| 788381|      62.0|\n",
      "| 3500|    665190|       1.0|  1301844|645528|1096182|      54.0|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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CAfgZ/RRFcnIy5dtSH3V0qTfGIC8vD0+fPkVYWBguXrwo1XCqIWBoaFhtupKSEvj6+sLT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\n3yrNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2000, 3000, 3100, 3250, 3500]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"4\", \"20\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 4x-6cpu-30gb\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|    41913|  1905| 46746|       2.0| 891.0377|0-12-21T08_03_35Z...|\n",
      "| 2000|    380190|       1.0|    45104| 26072| 62348|      40.0|12566.268|0-12-19T21_11_38Z...|\n",
      "| 3000|    570190|       1.0|    51592| 42165| 57257|      68.0|18775.736|0-12-21T08_40_56Z...|\n",
      "| 3100|    589190|       1.0|    60921| 44728| 66279|      72.0|  19072.9|0-12-21T12_16_38Z...|\n",
      "| 3250|    617690|       1.0|   817735|807785|817233|      47.0|11202.697|0-12-20T16_47_20Z...|\n",
      "+-----+----------+----------+---------+------+------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|   p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "|    0|       190|       1.0|    41913|  1905| 46746|       2.0|\n",
      "| 2000|    380190|       1.0|    45104| 26072| 62348|      40.0|\n",
      "| 3000|    570190|       1.0|    51592| 42165| 57257|      68.0|\n",
      "| 3100|    589190|       1.0|    60921| 44728| 66279|      72.0|\n",
      "| 3250|    617690|       1.0|   817735|807785|817233|      47.0|\n",
      "+-----+----------+----------+---------+------+------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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V1WFkZFTlwregvohCfevoUqtB9ywsLPD161ccPXoUhBBs27aNerMXFhbi4sWL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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2000, 3000, 3100, 3250]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"4\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 6x-2cpu-10gb\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|    p50|    p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|     6141|   2066|  25234|       2.0| 561.5624|0-12-24T14_35_12Z...|\n",
      "| 1500|    285190|       1.0|    55038|  40224|  55763|      72.0| 5933.587|0-12-28T09_06_47Z...|\n",
      "| 1600|    304190|       1.0|  1452876| 899647|1450387|      57.0| 4789.922|0-12-28T12_28_57Z...|\n",
      "| 1600|    304190|       1.0|  1435244| 935489|1368438|      61.0|2718.5798|0-12-28T14_07_17Z...|\n",
      "| 1700|    323190|       1.0|  1250001|1175492|1244577|      61.0|2421.4883|0-12-28T10_43_33Z...|\n",
      "| 2000|    380190|       1.0|  1348158|1246910|1272224|      68.0|3405.5068|0-12-24T15_12_26Z...|\n",
      "+-----+----------+----------+---------+-------+-------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "|scale|throughput|missingPct|delayTime|    p50|    p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "|    0|       190|       1.0|     6141|   2066|  25234|       2.0|\n",
      "| 1500|    285190|       1.0|    55038|  40224|  55763|      72.0|\n",
      "| 1600|    304190|       1.0|  1452876| 899647|1450387|      57.0|\n",
      "| 1600|    304190|       1.0|  1435244| 935489|1368438|      61.0|\n",
      "| 1700|    323190|       1.0|  1250001|1175492|1244577|      61.0|\n",
      "| 2000|    380190|       1.0|  1348158|1246910|1272224|      68.0|\n",
      "+-----+----------+----------+---------+-------+-------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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bY9asWdDT06Od6ahly5YYNGgQOnXqhIEDB8LExESsrEAlJSUSZToqLCwUO9MR\nP4uVuJmOVFRUJMp0VFhYKFGmo5KSEibTEUNVJN2bEBAQUO3GqoSEBOzZswfKyso4ceIENfavSfcl\nX+5NSE5ORufOncW2sz51smCjNDom0xGDUESdjFRWVgZXV1fMmjUL4eHhGDduHC1dTcjCqUOyYKM0\nOrowzqCJISyLc1xcHGbPng0XFxeMGTMGt27dwvTp0wVWBERlf64JcZeaG0InCzZKo6NLkzlRiaGS\nr7/xgcpvnObNm+P48eMiE6sI09GBTgaohtbJgo3S6OjC9AyaGLdv3wYhBH/99RdWrVqFsrIyqKur\nw93dvdoMS18ng6FLREREo9fJgo3S6OjC9AyaGAYGBli7di1evHgBbW1t5OXloX379jWGc5ubm0vU\nXn2f+iyJThZslEZHF6Zn0EQoLy+Hh4cHzM3N8e7dO6xfvx4XLlygHe/OX54UF1lIACILNkqjowvT\nM2giEEJw+/ZtGBoawt7eXuzdpdOmTZOoXVlIACILNkqjowvTM/iGKS4uxsmTJ1FUVARFRUW4ublh\n7NixEm0z5wcwiQs/oKYx62TBRml0dGGcwTfKixcvYGFhATc3N7x8+RIA0LJlS5iZmUlU39SpUyXS\naWlpNXqdLNgojY4ujDP4xsjOzsbmzZthY2MDFRUVnD17FhMnTqTuP3nyRKJ6JdXFxcU1ep0s2CiN\nji7MnME3xqFDh/D06VOsWLECCxcurLKbU19fX6J6JdVJmvmqPnWyYKM0OrowPQMxCQsLg4WFBWxs\nbGBhYYGgoKBqy7PZbMyfPx9btmyBmZmZyLXic+fOwdXVVSKbYmNjqTMgbW1tcf36dSxbtkzotu76\nHq9mZ2c3ep0s2CiNji6MMxCDpKQkjBkzBuvXr8fx48exd+9eGBkZVbszbMeOHaioqMD+/fsxduxY\nzJ8/v0qZiIgIPHv2jNqNSBcul4tTp07B0tKSOrBEU1MT3bt3F6mRZKOLNDp+qvvGrJMFG6XR0YVx\nBmJgb2+PLl26YNiwYQAqJ3R0dXWxYcMGkZoHDx5QYaRaWlp4+/Yt8vPzqfulpaWwt7eX6PQhIyMj\nnD59GkZGRjWmoOfz9ZHydJFUJ0kylfrWyYKN0ujowjgDmhQXF8PLy4s6Op2PgYEBfHx8RH5YVFVV\nqYQiZWVlYLFYUFZWpu5v3boVmzZtkihtW2FhISZMmIB9+/ahdevWtDSKiopityONjp+IpjHrZMFG\naXS066/T2r8hgoKCwOFwBI53Ayq75TweT+TcwcKFC/HmzRsAlenDzMzMqOStd+7cQdu2bamehiSI\nu5NNRUVFonYk1dHNddmQOllRi1laAAAgAElEQVSwURod7frrtPZvCH42nK8zC/MTv4rK67hq1Soo\nKipi7969UFFRwcWLFwFUfog9PDxw5coV2ja4urpSk4xTpkyh9gvwz6NsLIwdOxYA8OzZswa2hAGo\n/H+glQiHMNDixo0bBABxc3MTuO7q6koAEE9PT9p18Xg8MmvWLJKamkoIIeTz58/EycmJ7N69m7i7\nu9OqQ09Pj77xjK7RtNUQOrowPQOadOnSBUDViTT+4THiHHCxf/9+LFiwAJqamgAqhxJaWlrYvXs3\nhg0bBg6HI/bKAgODtDBzBjTR1taGqqoqtZ7PJzk5GSoqKrSzBr9+/RoFBQWYNGkSgMo4hJs3b1IT\nk4aGhjh79mztGs/AQAOmZ0CTFi1awMLCAs+fPxe4HhQUBHNzc1oHXOTn5+Pw4cO4evUqda2kpAQV\nFRVUgJCysjJKSkpqrEvSngOja9i2GkJHmzodhHxjREVFkZYtW5KwsDBCCCEfP34kbdu2JbGxsbT0\nCxcuJJGRkVWu6+jokBMnThBCCJk6dSpZtWpV7RnNwEATpmcgBr1798aDBw/g4OCAXr16ISUlBU+f\nPqWVm+706dMYN26c0CPJrl69ii1btiA9PR0qKirVnkjFwFBXMOcmMDAwAGAmEBkYGP6FGSbIKJKe\nqBQYGEh75UNS3ZcnKqWmpkq09bY+dbJgozQ65kQlBqHUd2ZeWTh1SBZslEZHF8YZNDHev39frzp+\nGHdj1smCjdLo6MI4gyZG796961VHdzdlQ+pkwUZpdHRhnEET4+sIyrrWsdnsRq+TBRul0dGFcQZN\nDP4uy/rSCUu91th0smCjNDq6MM6AgYEBAOMMmhxFRUX1quNyuY1eJws2SqOjC+MMmhj8bdP1pVNT\nU2v0OlmwURodXRhn0MSoLpNzXehyc3MbvU4WbJRGRxfGGcgYd+7cobayJiQkICIiAh8/fkRKSgoC\nAgJQUFCAR48eoaKigjofkX+Csre3N3R0dPDo0SMUFBQgICAAKSkp+PjxIyIiIpCQkIDAwEDk5OTA\nz88PXC4XPj4+AICUlBQAgJeXFwDA19cXnz9/xqtXr5CRkYH3798jJiYGMTExYLPZ4PF4SExMRJs2\nbShHwj9FmP87MjISPB4P8fHxKC4uRmpqKvLz85GdnQ0FBQUUFhYiOTkZHA4HsbGxIIRQ5zfw6wgP\nDwchBLGxseBwOCCEoLCwEJmZmcjOzkZ+fj5SU1NRXFyM+Ph48Hg8REZGCtTBHwJFR0eDy+UiMTER\nbDYb6enpyM3NRW5uLtLT08Fms5GYmAgul4vo6Gh89913Yj1TZmYmCgsLQQgR65mSk5NRWFgIBQUF\n2s/E/y2OE2c2KskokoYj+/r6wsTEpE51X4YjR0dHSxSjUJ86WbBRGh0TjswgFEkcgTS6+g5ykkQn\nCzZKo6ML4wyaGPxufn3p+N3VxqyTBRul0dGFcQZNjOnTp9erTltbu9HrZMFGaXR0YZxBE4PpGTRs\nWw2ho0uTcQZ+fn4wNjaGu7u7yDK2trZgsVjUj6mpKa26X758CSsrK8ydOxfLly/HwoUL8csvv+Di\nxYvYsmULgMozFa9evQodHR2wWCwMGjQICxYsgJWVFQYPHowJEybA09OzVp61OpieQcO21RA6ujSJ\n5Cb379/H1atX8ddff8HKykpombS0NISHh+PQoUPUNX468+rYvn07Ll68iFu3bmHQoEHU9ZycHCxb\ntozadqqsrIzZs2cjOzsba9asweHDhzF+/HgAlQdqWltbY+bMmdi7dy+2bt0qzeNWi4+PD20nVxu6\nyMhI9O3bt1HrZMFGaXR0kapn8OHDB6xduxZt2rQBm83G8uXL0apVK/Tr1w+BgYGIi4uDsbExVFVV\nYWhoSO18Ky8vx4EDB2Bra4tx48Zh6NChePr0qVR1VsfEiRNrPKX40KFDOHToEDZs2ED99O/fv1rN\nsWPHsHv3bnh6ego4AqDyGLbLly+jVatWAteFRZGpqKjAxcUFLVu2xO7du6mDWuuCCRMm1KuuV69e\njV4nCzZKo6OLVM5AVVUVsbGxyM3NhZubGzZv3oxXr14hJycHixcvxrVr1+Dq6ooXL17gw4cP2L9/\nPwDA2toa48aNg7OzM548eYL+/fvD1NQU8fHxEtdJx1ZRpKen4/Tp01i2bBn27NmD7OzsGutLTU3F\n5s2bMWnSJJHpwJSVlWl/y6uqqqJv377gcDh1ulX19evX9apLSkpq9DpZsFEaHV2kGib06dMHurq6\n8PHxgZ2dHXV93LhxCAgIgL29PQCgW7du0NXVRXh4OOLj43H9+nV07twZ9+7dA1B53Le+vj6ioqJg\nZGQkdp10YLFYIu8FBQXByMgI79+/h6OjI37//Xe4u7tX+2144cIFlJaW1rj+Pnz4cFr2cblcxMbG\nYuzYsVV6E7XJwIED61UnzrFzDaWTBRul0dFF6glEYcdEC/sWVlZWBpfLRWBgIMrKyrBjxw7s3LkT\nO3fuhKurK/z8/GBkZCRRndIyadIkeHt7Iz4+Hvfu3YOCggLMzMyqnb3lH8Hes2fPKvfS09Ph7OyM\n2bNnY/bs2di5cycVzisMDoeDNWvWwNjYGDdv3hRZztXVFUOGDMGQIUMASBaOHBsbK1E4Mr8OccOR\nc3JyJApHTkpKkigcOT4+XuxwZH6d4oYj5+fnSxSOHB8fL1E4clJSUuMOR965cyd27dqFL6tZuHAh\n/Pz8EB8fT13jh0RaW1vDysoKwcHBVcbZWVlZaNeundh1+vn51WhnfHw8evTogXPnzmHhwoXVlo2O\njoauri4WLFiAkydPCi1jYmKCBw8ewMvLC9OmTatynxCC/v37Izw8HBkZGZRXP3/+PBYtWgRDQ0N8\n//33yMvLw9OnT5GXlwcNDQ1s2LABDg4ONT6PpOHICQkJ6NatW53qvgxHzs/Ph4aGhtjt1adOFmyU\nRtdow5F1dHQAAJs3bwaPx6OuP3z4kPJuDU3v3r3xyy+/ICYmRmQZ/mRORESE0PssFgsdOnQAILx7\nt3v3bpw5cwY3b95EamoqTp06heLiYmzbtg1//vlnLTyFcDgcTr3qysvLG71OFmyURkcXqZ0B38Av\nP9gVFRWoqKgQKEcIAY/HQ//+/TF9+nT89ddfGDVqFH7//Xc4OjrizJkzGDFihER11gVaWlrUMezC\nmDVrFgDgxo0bUreloqKC5cuXY82aNQCAx48fS12nKCRdqZBU9/X/WWPUyYKN0ujoIpUzePbsGTWW\n3LNnDzIzM3Hz5k08evQIqampOHHiBPLz8+Hq6org4GCEhITA3d0dHh4esLGxQUREBLZv346kpCS4\nurpKVWdtExgYCGtra5H3R48eDQsLCwQFBeHy5cu10ia/JyHJQRl0kXRyUlKdiopKo9fJgo3S6Ogi\n1WrC6NGjERoaKnBtxowZmDFjhsC1ZcuWVTlO+tixYzh27Fit1lkd/G82YV2tRYsWoX///rCxsYGi\noiJcXV0xcOBAaqJOFBcuXEBZWRmWLl0KBQUFqrfAb+/z589VNMKuAUBUVBROnDiBrl27YunSpbSf\nS1ySk5PRqVOnetMVFhaiRYsWjVonCzZKo6NLk4hA9Pf3x9mzZwFUfoDbt2+PqVOnUvf5wT5Hjx6F\ngYEBbG1tMXbs2BrrVVVVhbe3N+7cuYMLFy7g7Nmz6NatG0pKSpCYmAg9PT2cOnUKQGU4speXF/V6\n7dq16NOnD9TV1ZGVlYXY2FhMnDgR27dvR5s2bergXaiEOVGpYdtqCB1dmOQmMoqkqwmPHj2iwqDr\nSvflakJsbKzQ5deaqE+dLNgoja7RriYwNCzjxo2rV12PHj0avU4WbJRGRxfGGTQxbt++Xa86UUuv\njUknCzZKo6NLk5gzYPgPc3PzOtURQlBWVoaysjJkZGSgVatWKCgooO5Vh6qqKpSVlQHU79xGfc+j\n1LeOLvI7d+7cWactMNQqd+7cwZEjR9CiRQv06NEDGRkZSE9PR1lZGcLCwqCuro6XL1+ie/fu+PPP\nP9GvXz/cunUL2tra8Pb2xqdPn5CSkoI2bdogJCQELBYLiYmJyMvLw+fPnxETEwNlZWW8ffsWHTt2\nxP3799G3b18cO3YMhoaG8PLygra2Nnx9faGpqYm3b9+Cw+Hg0aNH8Pf3h5+fHzw9PZGZmYmUlBQ0\nb94cmZmZSE9PR0ZGRrU/+fn5aNasGdhsNiIiItC8eXNkZWVBSUkJiYmJ0NDQQEREBNq2bYuwsDC0\na9cO4eHhaNOmDeLi4qCqqoqQkBCoqamhoKAAJSUl4HK5yM3Nhby8PFJSUqCuro7o6Gi0adOGquPN\nmzfo3LkzoqOjoaamhpSUFMjLyyM3NxdcLhclJSWUQ0tPT4eqqiri4uKQkZGB7OxstGvXjqorMjIS\nGhoaSExMhJKSErKyssDj8cBms6kw7Y8fP6J169a0n4m/Df7Tp09QVFSk9Uz839HR0Rg8eDCtvy1m\nAlFGkXQCsTbIz8/Hp0+fEB8fj4KCAhQVFaGkpAQA8ODBA/j7+wOo3GNiaGhIe+KxXbt2NW4bZxAf\nuhOIzDChieHt7S32UKGoqAjXrl2Dmpoa8vPzUVRUhOLiYgBAcXExXr16hX79+qFLly4CIdzl5eUI\nCAgAAIwdOxby8vK02wwPD5eoWyyJrj7baggdXRhn0MT4Mr5CFJ8/f0Z4eDiio6NRUFCAnJwcqgtf\nVlYGd3d36OjowMDAAPLy8ggICICGhga6dOmCPn36IDMzk6qrrKwMb968AQCxljS1tLTEfzgJdfXZ\nVkPo6MI4gybGkydPqnwoS0pKEBUVhYiICOTn5yM4OBglJSXo3r07CCE4ePAgvv/+e5iamkJRURHq\n6urURJ+ysjK2bNlCfeuPGzcO//zzD4qKiqgJw/LycsTFxYm0icfj4enTp0hOTsbw4cOxePFiJCQk\nSLSmHhcXJ7ZOEo0s6ejCOIN/CQsLg6OjIzp27IjU1FRs3bqV9sTL3bt38ccff0BNTQ2qqqrgcDhQ\nUVHBmDFjEBMTg23btiEvLw937tyBg4MDkpOTMWzYMPTr1w9sNhvh4eHo2bMn1qxZg59++qlOn1Nf\nXx8cDgcxMTEIDw9HXl4efH19kZ+fj5EjRwIA/vzzTygrK6N79+5gsVgYP348WrduTdVhaWkpUOeX\n3X95eXlqH0NhYaFAOTc3N/To0QNjx46FnJwclXDm4sWLSExMREVFBdLS0sBisTBv3jyJnk+SfR2S\n7gWRFR1dGGeAynRSY8aMgbe3N4YNG4aIiAgMHz4cAQEB1Z5iw+VysXLlSgQGBsLLy0sgKCQxMRHz\n5s2jdj62atUK8+fPx4cPH3DkyBFcuHCBqrugoACWlpYwMjLChQsXJP4giII/rmez2UhISMDdu3cR\nGRmJxYsXA6hMyMFmsylnMG3aNDRr1ozSi0rrVhNycnLUTrvU1FQQQpCRkYHIyEg0a9aMyiuRnp5O\nlSstLUVQUBBMTEzQuXNnsdvMzs4WWyeJRpZ0dGGCjgDY29ujS5cuGDZsGIDKsZmuri42bNhQrW7z\n5s24fPky7ty5UyU6rGvXrvD29q6yMUpYQtSWLVvi7NmzIITUygpBeHg49u7dC29vb5w9exaTJ0/G\npEmTEBwcjIKCAqiqqqJ9+/ZUN37atGlYsGABpW/Xrh2aN28ulQ0cDkdgy+2XQwYulyvQ3R0yZAiV\n3UpZWRmDBw+WeEOOJLr6bKshdHRp8j2D4uJieHl5YdGiRQLXDQwMcPjwYeTl5QndvhsYGIhjx45h\nxYoVIr1169atsXbtWlp2dOzYEe3ataOVjJXPli1bsHv3brx79w779+/H7NmzUVpainv37sHT0xO2\ntrbQ0NBAnz590KpVK+oD+fU3vZxc7X8nqKiooKKiAuXl5dRwgBACBQUFDBgwAKNGjaLK8jeFJScn\nY8SIEVi0aBFycnIk+uPncDhi6yTRyJKOLk3eGQQFBYHD4aBdu3YC1zU1NcHj8RAUFCR0HO/m5gZC\nSK0lRM3MzERubi7mz59P2/YjR47g48eP6Nq1K54/f45OnTrhu+++Q8+ePWFra4uWLVsCADp16iTR\n9mNpaNWqFXR0dBAXF4fu3bsD+C/13Nc7QuXl5TF+/HiBOANJHZQkuvpsqyF0dGnyzoAf3fX1tmF1\ndXUAEFgm+5LqEqLGxMTg6tWr+OeffwBUfhMvWbJEZIKQgoICLF++HKtWrcL//vc/2raXlZUhODgY\nenp6ApmkmzVrJjDmFwb/2/rrrNGirvOviSr/5Ws5OTkQQjBp0iSqd0CHL+PfhCXFpYMkuvpsqyF0\ntOuv09pliK8/PPx0akpKSkLL82fKhWVn7tWrFzZu3EjtP7906VKVgJsVK1agW7duyMzMxOPHj1Fc\nXIwOHTpAV1eXmtj7GldXVyoj1JQpUyBNJDn/g1cXAaj8+QdxM1dnZ2fj2bNntW5PU+fZs2f05qJI\nE+fNmzcEADl48KDA9cOHDxMA5Pnz50J1kyZNIgDIlStXRNbdrVs30q1bN4FrO3bsIABIVFQUda2w\nsJA4OTkRFotF5OTkSFBQUI126+np1ViG0TW+thpCR5cmv5qgra0NVVXVKse0JScnQ0VFReSyWm0m\nRFVXV4ejoyOmT5+OiooK6qg5Bob6pMk7gxYtWsDCwgLPnz8XuB4UFARzc3ORY++5c+fC0NAQt27d\nwqtXr2rFlvpIiMrAIIom7wyAypOUo6OjqZNtQkND8enTJ+zbt0+kRkFBAT4+PjA0NMS0adOqfJsX\nFxeDy+VWmWATlRA1ICAAly5dwqBBg2gdfy5OMlhG13jaaggdXZgtzP8SEBCAgwcPolevXkhJScGW\nLVswYMCAGnUVFRW4dOkSrl27Bnl5eWhqaqKoqAhJSUnQ19fH8uXL0bdvX+Tl5eH27dtwcHBASkoK\nBg8ejO7du1NDlNTUVJiammLr1q11etYiA4MoGGfAwMAAgBkmyBxhYWGwsLCAjY0NdYgLHfz8/GBs\nbCzWgTMlJSXYsGEDOnXqhDZt2mDatGmIjY2tUUcIwe7du9G5c2doaGjAzMys2oNnhbFixQraSTn4\nmJubU7EQLBYLq1evpq1NTEzExo0b4eTkBHd3d5HDOQC4cuWKQDtf/nz8+FGk7o8//sCKFSuwZ88e\nrFy5EsePH6dt39WrV2FpaYnVq1dj7NixdTPJXKdrFQy1SmJiImnfvj15/fo1IYSQ8PBw0rp1a4Fl\nSmHcu3ePzJ8/nwAg586do93esmXLyPLly8nVq1fJ1q1biZKSEunatSvJy8urVnfw4EHy22+/kaCg\nIHL48GEiLy9PRo4cSbvdv/76i7BYLDJ69GjamqCgIDJt2jRy6NAh6icpKYmW9sqVK8TQ0LDG95GP\niYkJ2bJlCzl9+jRxc3Mjbm5uZOPGjaRv374iNZcuXSJGRkYC13766Sdy8uTJGtvz8vIi/fr1IyUl\nJYQQQt69e0dUVFSIv78/LXvpwjgDGWLOnDlV1prHjh1LzMzMatSGhoaK5QxycnLI/v37Ba65urrW\nWEdFRUWVP9J58+YRNTU1Wu3m5+eTyZMnk2HDhonlDObMmUMyMjJol+dz8eJF0rNnT5KdnU2rfFJS\nktDYEwcHB+Lo6ChSZ2ZmRqytrQWubd68mUyZMqXa9ng8HunTpw/ZuXOnwPXx48cTAwMDWjbThRkm\nyAj8DVUGBgYC1w0MDODj44O8vLxq9aqqqmK3+fUmq5kzZwIAcnJyRGpYLBYMDQ0FrrVr147S1sTG\njRuxd+9ekZGfwnj//j1u3LgBKysr/Prrr9V28b8kKioKS5YswYkTJ2ifYtW5c2dqq/eX3Lhxo0qe\nhy9p3749Ll++TKU7J4TgxYsXmDBhQrXtxcfHIyoqqsppSiNHjsTbt2+RmppKy246MM5ARqCzoao6\nhO01qI7WrVtXcSD88yq/3HFYE7m5uUhNTaU1Pr5z5w66desGXV1dsWwNCQmBsbExQkNDsW7dOvzw\nww8IDAysUefo6Ii2bdsiMTER8+fPh76+PrZu3YrS0lKx2n///j0UFRXx/fffiyyzceNGyMvLY+TI\nkXj69CnWr18PQ0NDrFq1qtq6c3NzAfy3h4ZP+/btAVTOddQWjDOQESTdUFWb3L17FxMnToS+vn6N\nZdlsNv744w8MGTIEfn5+ePToUbXlc3Jy4ObmBnt7e7HtWrBgAe7cuYO0tDR4eHggMzMTxsbGyMrK\nEqkpKSnB7du30aNHD5iYmODChQvYs2cPDh48iDlz5ojV/vXr16vtFQBAnz598PTpUygrK2PcuHHI\nysrCkSNHanTSvXv3hpycHB4/fixwnc1mA4BABippYZyBjCHuhqraorS0FCdPnsSJEydolVdVVYWR\nkRE2btwIQghmzpwpkDn5a9avX4+DBw+KlUH5a1gsFubOnYu7d+8iNzcX586dE1k2NjYWJSUlMDMz\no7ZYGxsbw9zcHF5eXtSOUzrUNETgk5OTg9GjR2PEiBHw8PDAL7/8IpAARhgaGhpYunQp/P39qZWg\n+Ph4eHt7Q1lZGd26daNtZ00wzkBG4KdP+3pugL97kt9trCvs7e2xa9cu9OrVi1Z5eXl5dO3aFStW\nrICPjw/Ky8vh4+MjtOy1a9ego6NTa2nAR4wYAVNT02qdT1FREYD/elZ8Jk+eDKDywBI6BAUFQU1N\nDX379q223Js3b7B06VKcOnUKT548wezZs3H27FkcOHCgxjZOnDgBR0dHHD16FJMmTcKdO3eQlJSE\nmTNnUolpawPGGcgIkm6oqg1Onz6N77//HhMnTpRIr6+vj4EDB0JFRUXo/VOnTmH9+vUC6/XPnj3D\ns2fPwGKxcP78ebHb1NLSohyoMLp27QoAVYYSmpqaAOgff05niAAA27Ztg4mJCdTU1KCkpAQPDw9M\nmDABv//+e41aRUVFODk5ISQkBPfu3YOWlhYyMjKwadMmWjbShXEGMoKkG6qk5dKlSygpKcGSJUuo\na0VFRdSYlS7l5eUYPXq00Htubm4IDg4W+NHT04Oenh6Cg4NpnfXwNWFhYdVmjerYsSMMDQ2r5E/I\nyclBmzZtqqzaiMLT05PawVodeXl5AkM5eXl5rF69Wux8EgUFBVi1ahWOHTuGgQMHiqWtkVpdqGSo\nU6KiokjLli1JWFgYIYSQjx8/krZt25LY2NgatZGRkQQAcXNzo92eu7s7mThxIrl//z71c+XKFTJ5\n8mRSWloqVMNms8mBAwdIcHAwde23334j27Zto90uIYSMHj2aVpxBSUkJmT59Ojlz5gwpLy8npaWl\nZOfOneTq1as1at+8eUNUVVXJ27dvCSGVMRJGRkbExcWFlo3v3r0j+vr6tMoeP36c9O7dm3A4HOra\nnj17yPbt22npCSEkLS2NjB07lpw/f562RhyYTEcyRO/evfHgwQM4ODhQG6qePn1aJTPz1/j7++Ps\n2bMAgAsXLqB9+/Y1ftueP38eixcvBiEE9+/fF7i3atUqkROWRUVFuHLlCrZv3w4DAwNoa2tjzJgx\nNS6hSYqioiIUFBRgY2OD3bt3w8DAAFu3bsWgQYNq1A4dOhQPHjzAzp07YWBggMzMTMyaNUugF1Qd\ndCcOAWDNmjUoKyuDpaUlhg4dCqAyUzadkOkrV64gKysLaWlpOH36NPr06UOrTXFhNioxMDAAYOYM\nGBgY/oVxBgwMDAAYZ8DAwPAvjDNgYGAAwDgDBgaGf2GcAQMDAwDGGTAwMPwL4wyaODXlRkxLS4OV\nlRXWrFkDCwsLPHz4UKwyISEhsLe3B4vFgqKiIvbs2YPo6GgAwMuXL6GtrQ05OTnMmzcPL168qJuH\nbCSkpaXVebpzqaiTuEYGmaCm3IiFhYWkd+/e1BFy2dnZpF27duTly5dilSGEkA4dOpAhQ4YIXMvP\nzye9evUi3t7etfxkdU9gYKDYmiNHjpDHjx/XgTW1A+MMmjjV5UbcunUradu2LamoqKCuLVq0iAwa\nNEisMoRUnjs5YsQI6vXnz5/JhAkTyIMHD2rxaeqHkJAQ8ssvv4itmzp1KuHxeHVgUe3ADBOaONXl\nRvTw8IC+vr5ANh4DAwO8f/8eHz58oF3ma9hsNqZNm4a1a9fWmAOwsZGQkICpU6fSPmaeT1hYGPr1\n6wc5ucb7kWu8ljFIxP3796GtrQ0Wi4U5c+agoqICv/76K9TV1fHbb79VKS8q7VZycjISExOF5lwE\ngHfv3tEq8zV5eXmYNGkSVq1ahUmTJon1bDExMVi/fj2WLFmCQYMGYf78+cjOzkZubi6WLl0KFouF\nAQMGIDg4GEDlpql169ZBT08PYWFh1dbB5XJx7do1mJiY4JdffsHr16+hp6eH5s2bw9bWFkClEzt5\n8iRycnLg7+8Pa2trKmHL8ePHsW3bNqxevRoaGhrYsGGDgO0XL17E3LlzqdfVlc/MzMTmzZuxYsUK\nDBkyBObm5oiLi6PuFxUVYcOGDVi3bh1MTU1hZGREHQ0oFQ3dNWGofRISEkirVq3ImDFjSEVFBbG1\ntSW+vr5Cy8bFxQkdJrx7944AIHZ2dgLXHz9+TACQffv20SrDp1u3bkRbW5sMHDiQGBsbCwwr6JCZ\nmUkmTpxIbQHOysoibdu2JRMnTqTK6OnpEUNDQwGdk5MTeffuXY11FBcXk5iYGNKsWTPyww8/EDc3\nN5KdnU22bt1KAAjMEXTr1o0sWLCAev327Vtibm5OvX716hXZsGED9bqiokIgJXp15UtKSsiECRNI\nbm4uIaRyONW/f3/Sv39/UlFRQbhcLjEwMCB3796l6u7UqRPR0dER6/0UBrOF+Ruka9eucHFxwezZ\ns7Fo0SL06NEDxsbGEtVFJ+ci3byMzZs3R4cOHXD37l1YW1vj1KlTtLM2u7i4oLCwEPv376euDRs2\nDCUlJaioqICcnBzs7Owwb948hISEQFdXFzweD58+fYKjo2ONdSgrK6Nnz55o06YNBgwYQG1jtrKy\nwr59+xAeHo7BgwcLterIOqcAAAR+SURBVC0lJQUPHz6Et7c3zM3NMXz4cIEMyy9evMCPP/5Iq/z1\n69eRkpKCY8eOUeW///57ZGZmIjs7G3/99ReysrKoXhWLxcK5c+eoNG5SIbU7YWi0zJkzh8jLy5OE\nhASRZUT1DNLT0wkAsnLlSoHrnp6eBAC5cOECrTJ8+BOIHA6HTJ48mQAgy5cvp91DMDU1JcuWLau2\nDJfLJR07diQLFy4khBBy8+ZNgSQndOr4+ltf2PvzdRkOh0OMjY0JADJ48GBy/fp1gTqtra0FTneq\nrvzq1avJhAkTRNq3atUq2glVxIWZM/hGqaioAIvFgqamJpYuXSp2eq327dujU6dOQnMuAsCPP/5I\nq8zXKCsrw8vLC6ampjh9+jRWrlxJy7aysjIEBARUuZ6dnU3pFRUVsWrVKly5cgUZGRm4deuWwPH2\ndOqQBGVlZfj6+sLLywtcLhezZs2i4glKS0uRlZWFzp070ypfVlaGkJCQKmc3sNlsqhcUFRVFnWHB\np6SkBFwuV+JnAJgJxG+Wffv2YdGiRTh37hwePnwodPKwOlgsFhYvXoyXL18KfFCCgoJgaGiIHj16\n0CojDCUlJdy8eROmpqY4deoULYego6ODkJAQeHh4CFz/7bffBIYay5cvh5ycHGxsbKClpQVFRUWx\n66iJr8s+fvwY+fn5mDZtGkJCQmBnZwc3Nzfk5eXh7t27VSZKqyuvo6ODjIwMHDp0SEBz4sQJsFgs\n/PDDD8jPz4ebm5tUzyCUOulvMDQovr6+Auf+LV++nKiqqpJ//vmnStnqciPm5OSQTp06UbEA6enp\npH379uTNmzdilSGEkDZt2lQ5J7K0tJT8+OOPBAD5+eefBfIDfk1CQgLR0NAgCgoKZMWKFcTFxYXM\nnDmTXL58uUrZZcuWESUlpSpnL9Kpo2PHjuTnn3+mXvOHCV++PwMHDiSGhoakoKCA3Lt3j1y5ckVg\nwjAwMJBoamqSiooKMmfOHFJQUCBgR3XlCwsLSbdu3QgAMnfuXHLq1CmydOlScuDAAUJIZY7Jnj17\nEiUlJWJvb08uXLhA5s+fT5ydnUW+d3RhnME3xu3bt0nLli2pRJsVFRVk5cqVBADp0aMHuXnzJlX2\n9evXZMmSJQQAGTlyJPnzzz+r1BcREUFmzJhBNm7cSKysrIQeOlpdmb///pts3LiRACAKCgrEwcGB\nhIeHE0IqA56GDh1KABAAREtLi/zvf/8jWVlZQp8tJCSEjB07lqioqJDevXuTM2fOCC336dMnMn/+\nfLHq4HA45Pjx4wQA6dy5M/Hy8iIJCQnExsaGACBjxowhf//9NyGk8rDW1q1bk1GjRpGMjAxy5coV\nqsy2bdvI0qVLSXBwMMnLyxNwLHxElecTHx9Ppk6dSpo1a0a6du1K9u3bJxCslJCQQKZMmUJUVVVJ\nz549yW+//Sb0WcWFyYHIwMAAgJkzYGBg+BfGGTAwMABgnAEDA8O/MM6AgYEBAOMMGBgY/oVxBgwM\nDAAYZ8DAwPAvjDNgYGAAwDgDBgaGf2GcAQMDAwDg/yWX6hJQqENdAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1500, 1600, 1700, 2000]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"6\", \"2\", \"10\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "STRUCTUREDSTREAMING - 2x-6cpu-30gb\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct| mean_mem|            filename|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "|    0|       190|       1.0|    43003|  1931|  47944|       2.0|822.08984|0-12-24T19_10_50Z...|\n",
      "| 1500|    285190|       1.0|    46496| 39964|  64790|      55.0|12711.633|0-12-29T13_11_43Z...|\n",
      "| 1600|    304190|       1.0|    59490| 44195|  61046|      72.0|12766.231|0-12-29T18_53_54Z...|\n",
      "| 1700|    323190|       1.0|  1244517|599344| 937398|      52.0| 6501.017|0-12-29T17_15_51Z...|\n",
      "| 2000|    380190|       1.0|  1584246|737293|1314055|      50.0| 7525.122|0-12-24T19_48_04Z...|\n",
      "+-----+----------+----------+---------+------+-------+----------+---------+--------------------+\n",
      "\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|scale|throughput|missingPct|delayTime|   p50|    p99|meanCpuPct|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "|    0|       190|       1.0|    43003|  1931|  47944|       2.0|\n",
      "| 1500|    285190|       1.0|    46496| 39964|  64790|      55.0|\n",
      "| 1600|    304190|       1.0|    59490| 44195|  61046|      72.0|\n",
      "| 1700|    323190|       1.0|  1244517|599344| 937398|      52.0|\n",
      "| 2000|    380190|       1.0|  1584246|737293|1314055|      50.0|\n",
      "+-----+----------+----------+---------+------+-------+----------+\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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4/vw5mjdvDn19fRw5cgT79u3DqFGjoKmpiaZNm6Jp06Zo2bIlVT9BSUmJSpJS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\n",
      "text/plain": [
       "<Figure size 180x194.4 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1500, 1600, 1700, 2000]\n"
     ]
    }
   ],
   "source": [
    "getPlotsAndInfoForScale(framework, last_stage, \"2\", \"6\", \"30\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}