notebook.ipynb 116 KB
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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": 3,
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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": 4,
   "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": 5,
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   "metadata": {},
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   "outputs": [
    {
     "data": {
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      "image/png": 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ASd+sZZ9mZmZWvYZJWoDlETExIiYAzwNfrGXnETEjIs4Yaj89r/k3MzOzgWmkpCVvNrBZ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\nCyUtTOW7AtsBt6e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lwB4R8URKPE6LiH0kzQc+FhEPp3rPA1ul/YRWeTwk6WvABhHxnXR+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\nYzVjSy2zRU4AAAAASUVORK5CYII=\n",
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      "text/plain": [
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       "<matplotlib.figure.Figure at 0x7fe4b2ff4da0>"
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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": 6,
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   "metadata": {},
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "127 / 127 are no outliers.\n"
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     ]
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    },
    {
     "data": {
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      "image/png": 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vsGZmNrg1NDTkPgnprQGTtEREVTflo4q2Hwbq0/afyOabANlvGRXVuwK4oou+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\np75oey1pTktEzAXmFh07tmh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7pCUiqropH1W0/TBQn7b/BEzoob8ZXZRdClzaqew1oLtz\nv7No+9fA0Wn7hfZtMzOzcupurktPdqnph4Fsh9wlLWZmZtY72/KOlsy2tusfg2FOi5mZmQ0ATlrM\nzMwsF1TOCTX2RpJeAFaXWH1PYG0/DqccHFM+OKZ8cEz5MNhj2i8i9iqlopOWHJP0cETUlXscfckx\n5YNjygfHlA+OqXR+PGRmZma54KTFzMzMcsFJS77NLvcA+oFjygfHlA+OKR8cU4k8p8XMzMxywXda\nzMzMLBectFQoSf8qabmkZZIWSnp7Kq+XtC6VL5P09aI2H5f0hKSnJZ1fVP5uSQ+k8hskvanCYpKk\nK9L4lkv6QFGbUyQ9lT6nFJWPk7QitblCksoU02WSfpPGfYuk3VL5KEnri67TVVsbu6TdJd2VYr1L\n0tYW99yhMaVj/5LG/YSkY4rKK/3P3omSVkraLKmuqDzP16nLmNKxXF6nYpJmSPpd0bWZWHSsV/FV\nqryNt5ikVem/j2WSHk5lXf630dP/43stIvypwA/wlqLtLwNXpe164Kdd1K8C/ht4D/Am4FHgwHTs\nP4HPpe2rgGkVFtNE4E5AwIeAB1L57sBv08+3pu23pmMPprpKbT9RppgmADul7UuAS9L2KOCxbtp0\nOXay9a7OT9vnt/dVQTEdmP5cDQPenf68VeXkz14NcABQAOqKyvN8nbqLKbfXqVN8M4CzuyjvdXyV\n+MnbeLsY/ypgz05lXf63QTf/j9+Wj++0VKiI+EvR7s7A1iYfHQo8HRG/jYhXgeuB49O/Do8Ebkr1\n5gGT+nq8peghpuOB6yLza2A3SfsAxwB3RcSLEfFn4C7g4+nYWyLi15H9F3Ed5YtpYWSLaQL8Gnhn\nT/W3Mvbjya4PlPc6dRfT8cD1EbExIp4Bnib7c5eHP3stEfFEqfVzcp26iym316lEvYqvjOPcmryN\ntxTd/bfR3f/je81JSwWT1CTpOeBk4OtFhz4s6VFJd0o6KJW9A3iuqM7/pLI9gJeK/hJqLy+LbmLq\nbuw9lf9PF+XldhrZvybavVvSI5LulnREKutp7NUR8Ye0/Uegul9HW5rimHp7nSrqz14PBsJ1KjaQ\nrtOX0uOEa4oew/U2vkqVt/F2FsBC6f+3d28hVlVxHMe/P40MutBFQ/ECGQZG4FAiUj0UiV3oghQh\nFDb1ED3YDSqQCRR8CSoi0npIKAgfIiQ1EzSjiIpQFPNSVjr1MpjGFMV0GRD/Paw1tZVz5nI8xzlr\n5veBzeyz9tlnr/+svfdZZ62199ZuSY/mtHrHRtNi9VOeR5GkHcDUGou6ImJTRHQBXZJWAMuBlcAe\n0i2P+3If70ZgzlnL9BAajKmtDRVTfk8XcAJYn5cdBWZFRK+k64CNlQrmkCIiJLXs0r4GY2prw4mp\nhuLLqWSDxQe8AawmfTmuBl4mVaKtPdwYET2SLgc+knSourBVx4YrLaMoIhYN863rga3AymoXS0Rs\nlfS6pMlADzCzss6MnNZLaoo7J/+SGkhviUZion7ee0hjeKrpn+b0GTXe3xJDxSSpE7gTuCV3JRAR\n/UB/nt8t6QhwFYPn/ZikaRFxNDedHm9qIBWNxET9cqJOervue9V1ii6nOtq6nKqGG5+kN4Et+eVI\n42tXg8XR9iKiJ/89Lul9UndXvWOjabG6e6hNSaq2ntwDHMrpU3MfNJIWkMqwF9gFzMlXAZwLLAU2\n5y+cT4D78mc9BIzKL7R6MQGbgWV5hPlC4PfcxLgNWCzpktw0vBjYlpf9IWlh/l8sY/Riug14Drg7\nIv6qpE+RNDHPzya1hnUPkffNpPKB0S2nmjGR8rdU0iRJV5Bi2kkB+149JZfTIMZEOZ025mEJcCDP\njyi+s5nnESotv/+RdL6kCwfmSefmA9Q/Nuqd40eu0RG8nlo+MntD3gn2AR8A03P6cuAgaaT5V8D1\nlXXuAL4njUjvqqTPJh3Uh4H3gEltFpOAtTnf+zn1SohHcr4PAw9X0ufnzzoCrCHfKHEUYjpM6qvd\nm6eBK6LuzeW0l9Sld9dQeSeNLfgY+AHYAVzaTjHlZV05399RuWKrgH1vCakfvR84Rqr8ll5ONWMq\nuZxOi++dfD7YR/rSm9ZofO06lZbf0/aXr/N0cCDv9Y4NBjnHj3TyHXHNzMysCO4eMjMzsyK40mJm\nZmZFcKXFzMzMiuBKi5mZmRXBlRYzMzMrgistZmZmVgRXWsysCJIuk7Q3Tz9L6qm8/rIF2+uU9Iuk\ndQ2u/2LO5zPNzpvZeOXb+JtZESKiF+gAkLQK6IuIl1q82XcjYnkjK0bEs5L+bHaGzMYzt7SYWfEk\n9eW/N+WnNW+S1C3pBUkPSNopab+kK/P7pkjaIGlXnm4YxjY6Ja2pvN6StzdR0tuSDuRtPN26SM3G\nN7e0mNlYMw+YC/wKdAPrImKBpCeBx4GngFeBVyLic0mzSM+5mtvg9jpIj6S4BkDSxWcagJnV5kqL\nmc879zsAAAETSURBVI01uyI/jC0/tXl7Tt8P3JznFwFX52ePAlwk6YKI6Gtge93AbEmvAR9Wtmdm\nTeZKi5mNNf2V+ZOV1yf5/5w3AVgYEf+M4HNPcGqX+nkAEfGbpHnArcBjwP2kB32aWZN5TIuZjUfb\nSV1FAEjqGMY6PwEdkiZImgksyOtOBiZExAbgeeDa5mfXzMAtLWY2Pj0BrJW0j3Qe/IzUSjKYL4Af\ngW+Ab4E9OX068JakgR+BK5qfXTMDUESMdh7MzNqOpE5gfqOXPOfPWMXZuTTbbFxw95CZWW1/A7ef\nyc3lgAcB36vFrEnc0mJmZmZFcEuLmZmZFcGVFjMzMyuCKy1mZmZWBFdazMzMrAiutJiZmVkR/gVS\nUdRjZByn7QAAAABJRU5ErkJggg==\n",
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      "text/plain": [
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       "<matplotlib.figure.Figure at 0x7fe4b0f740f0>"
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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",
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   "execution_count": 7,
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   "metadata": {},
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   "outputs": [
    {
     "data": {
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      "image/png": 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pAAAg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\nrkJggg==\n",
131
      "text/plain": [
132
       "<matplotlib.figure.Figure at 0x7fe4b0d34940>"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
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    "correlation(df[df[\"EndToEnd_D\"] < 175], config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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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
}