Executing Nose in the notebook

nose.ipynb

{
 "metadata": {
  "name": "nose"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def add(a, b):\n",
      "    return a + b"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import nose\n",
      "from nose.tools import assert_equal\n",
      "import unittest\n",
      "\n",
      "class TestAll(unittest.TestCase):\n",
      "\n",
      "    def test_basic(self):\n",
      "        assert_equal(add(1, 1), 2)\n",
      "\n",
      "    def test_zero_sum(self):\n",
      "        assert_equal(add(3, -3), 0)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "suite = nose.loader.TestLoader().loadTestsFromTestCase(TestAll)\n",
      "nose.run(suite=suite, argv=['', '-v'])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "test_basic (__main__.TestAll) ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ok\n",
        "test_zero_sum (__main__.TestAll) ... "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ok\n",
        "\n",
        "----------------------------------------------------------------------\n",
        "Ran 2 tests in 0.005s\n",
        "\n",
        "OK\n"
       ]
      },
      {
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "True"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}