profile/speed (timeit).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total execution time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import sys\n",
    "sys.path.append('..')\n",
    "import ctmc2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"../data/example.pkl\", \"rb\") as f:\n",
    "    datalist = pickle.load(f)\n",
    "numstates = 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../ctmc2/aggregateevents.py:26: UserWarning: The example id=40 has a state that have not been active for longer than toltime.\n",
      "  \"toltime.\").format(exid))\n",
      "../ctmc2/aggregateevents.py:26: UserWarning: The example id=40 has a state that have not been active for longer than toltime.\n",
      "  \"toltime.\").format(exid))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.37 ms ± 174 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%timeit ctmc2.ctmc(datalist, numstates, 1.0)"
   ]
  }
 ],
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