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{
 "cells": [
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  {
   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
    "# X-Lap in Action"
   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
    "## Imports"
   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {
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    "collapsed": true
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   },
   "outputs": [],
   "source": [
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    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets\n",
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    "from xlap.parse import evaluate, parse_config\n",
    "import xlap.analyse.jitter as jitter\n",
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    "from xlap.analyse.regress import linear as linear_regression\n",
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    "from xlap.analyse.trace import traces\n",
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    "from xlap.analyse.correlation import correlation\n",
    "import pandas as pd\n",
    "%matplotlib inline"
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   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
    "## Data Retrieval"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
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   "outputs": [],
   "source": [
    "config = parse_config()\n",
    "data_files = config[\"data_files\"]\n",
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    "original = evaluate(data_files[\"sender\"], data_files[\"receiver\"], config=config, kind=0)"
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   ]
  },
  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "## Traces"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {},
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   "outputs": [
    {
     "data": {
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      "image/png": 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JloBOSmXfIFseOhOYV9b3bsBySX8Dfgh8N3f908Blkr4REV9o2Ds2MyuQnXbaiRNPPLHZ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\nkxYzMzMrBCctZmZmVgj/DwOtDHas04+pAAAAAElFTkSuQmCC\n",
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      "text/plain": [
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       "<matplotlib.figure.Figure at 0x7f3318acea90>"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
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    "traces(original, config)"
   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
    "## Jitter Analysis"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {},
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "4004 / 4095 are no outliers.\n"
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     ]
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    },
    {
     "data": {
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      "image/png": 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amggEAng8nnj+7nmMMcZknowaaenmGWBi7EBEbgU+B+QDP1XVO9z0LwC34IxkbFPVaxIW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\n",
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      "text/plain": [
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       "<matplotlib.figure.Figure at 0x7f3316a17160>"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    }
   ],
   "source": [
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    "df = jitter.prep(original, config=config)\n",
    "jitter.trace_jitter(df)"
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  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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   "metadata": {},
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   "outputs": [
    {
     "data": {
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      "image/png": 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1p+3flPUdqyixbfNFiX09Z82cSXPw2IjLWddPf7DZPST9haQ/dfc3hsWfNbOz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\na0u9Xk/dbnfhRw3u7u5qZWV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8xWJN0i6V2SPiVp1d0347vcJOle8fS91A86xbevqb/LYaGiKGKgMCAA8uYEcgfIF3lDzgAhNSVz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\nK1fW49PdwtKzaIUzb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mCC\n",
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      "text/plain": [
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       "<matplotlib.figure.Figure at 0x7f331678bc88>"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
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    "correlation(df[df[\"EndToEnd_D\"] < 15000], config)"
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   ]
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  }
 ],
 "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": "3.5.2"
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  },
  "widgets": {
   "state": {
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    "df95aa8c42974dfeaf8e0a2c05100645": {
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     "views": [
      {
       "cell_index": 6
      }
     ]
    }
   },
   "version": "1.2.0"
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  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}