notebook.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# X-Lap in Action"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Retrieval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.parse import evaluate, parse_config\n",
    "config = parse_config()\n",
    "data_files = {\n",
    "    \"sender\": \"rtn2018/20180417_testbed/\",\n",
    "    \"receiver\": \"rtn2018/20180417_testbed/\"\n",
    "}\n",
    "df_1GHz = evaluate(data_files[\"sender\"] + \"sender-1000000.csv\", data_files[\"receiver\"] + \"receiver-1000000.csv\", config=config, kind=0)\n",
    "df_1GHz.name = \"1GHz\"\n",
    "df_2GHz = evaluate(data_files[\"sender\"] + \"sender-2000000.csv\", data_files[\"receiver\"] + \"receiver-2000000.csv\", config=config, kind=0)\n",
    "df_2GHz.name = \"2GHz\"\n",
    "df_3GHz = evaluate(data_files[\"sender\"] + \"sender-3000000.csv\", data_files[\"receiver\"] + \"receiver-3000000.csv\", config=config, kind=0)\n",
    "df_3GHz.name = \"3GHz\"\n",
    "dfs = [df_1GHz, df_2GHz, df_3GHz]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Traces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.trace import traces\n",
    "traces(df_1GHz, config, global_xaxis=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jitter Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.jitter import multi_trace_jitter\n",
    "multi_trace_jitter(dfs, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CDFs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.cdf import multi_cdf\n",
    "from xlap.analyse.util import colors\n",
    "import copy\n",
    "cfg = copy.deepcopy(config)\n",
    "list(map(cfg[\"durations\"].pop, (\"Decoding\",\n",
    "                                \"ReceiverIPC\",\n",
    "                                \"HandlePacket\", \n",
    "                                \"Feedback\", \n",
    "                                \"SenderIPC\",\n",
    "                                \"SenderEnqueued\",\n",
    "                                \"Enqueue\")))\n",
    "multi_cdf(dfs, cfg, colors=colors)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.correlation import multi_correlation\n",
    "multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Latency Criticality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.latency import analyse\n",
    "d = analyse(df_1GHz, config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.corr.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Control Flow Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.cfg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Kolmogorov\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xlap.analyse.timing import timing_behaviour\n",
    "timing_behaviour(df_1GHz, df_2GHz, config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "timing_behaviour(df_1GHz, df_3GHz, config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "timing_behaviour(df_2GHz, df_3GHz, config)"
   ]
  }
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