VectorizeBenchmark.ipynb

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  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import numba"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "@numba.vectorize(['float64(float64, float64)'])\n",
      "def vectorize_func(a, b):\n",
      "    return a ** 2 + b\n",
      "\n",
      "@numba.jit\n",
      "def jit_func(a, b):\n",
      "    res = np.empty_like(a)\n",
      "    for i in range(len(a)):\n",
      "        res[i] = a[i] ** 2 + b[i]\n",
      "    return res"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = np.arange(1000, dtype=np.float64)\n",
      "y = x + 1"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "np.testing.assert_array_almost_equal(x ** 2 + y, vectorize_func(x, y))\n",
      "np.testing.assert_array_almost_equal(x ** 2 + y, jit_func(x, y))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%timeit x ** 2 + y\n",
      "%timeit vectorize_func(x, y)\n",
      "%timeit jit_func(x, y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "100000 loops, best of 3: 3.28 \u00b5s per loop\n",
        "1000000 loops, best of 3: 1.26 \u00b5s per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "1000000 loops, best of 3: 1.25 \u00b5s per loop"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    }
   ],
   "metadata": {}
  }
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