"worksheets": [
{
"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Software Engineering Unit at LBL\n",
+ "\n",
+ "Goal:\n",
+ " \n",
+ "Write a utility that returns the mean number of a particular animal seen per sighting of that animal.\n",
+ "\n",
+ " def mean_animal(filename, species)\n",
+ " ...\n",
+ " return mean_animal_per_sighting"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "ls"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "README.md instructor_notebook.ipynb\r\n",
+ "animals.txt ipython_nose.py\r\n",
+ "big_animals.txt macguffin_animals.txt\r\n",
+ "dev_notes.md merida_animals.txt\r\n",
+ "dingwall_animals.txt student_notebook.ipynb\r\n",
+ "fergus_animals.txt\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 1
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cat animals.txt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "2011-04-22 21:06 Grizzly 36\r\n",
+ "2011-04-23 14:12 Elk 25\r\n",
+ "2011-04-23 10:24 Elk 26\r\n",
+ "2011-04-23 20:08 Wolverine 31\r\n",
+ "2011-04-23 18:46 Muskox 20\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 2
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def read_file(ifile):\n",
+ " open_file = open(ifile, 'r')\n",
+ " \n",
+ " time = []\n",
+ " date = []\n",
+ " animal = []\n",
+ " count = []\n",
+ " \n",
+ " for iline in open_file:\n",
+ " s = iline.split()\n",
+ " date.append(s[0])\n",
+ " time.append(s[1])\n",
+ " animal.append(s[2])\n",
+ " count.append(int(s[3]))\n",
+ " \n",
+ " open_file.close()\n",
+ " \n",
+ " return date, time, animal, count"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 15
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "read_file('animals.txt')"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "pyout",
+ "prompt_number": 7,
+ "text": [
+ "(['2011-04-22', '2011-04-23', '2011-04-23', '2011-04-23', '2011-04-23'],\n",
+ " ['21:06', '14:12', '10:24', '20:08', '18:46'],\n",
+ " ['Grizzly', 'Elk', 'Elk', 'Wolverine', 'Muskox'],\n",
+ " [36, 25, 26, 31, 20])"
+ ]
+ }
+ ],
+ "prompt_number": 7
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def test_read_animals():\n",
+ " date, time, animal, count = read_file('animals.txt')\n",
+ " ref_date = ['2011-04-22', '2011-04-23', '2011-04-23', '2011-04-23', '2011-04-23']\n",
+ " ref_time = ['21:06', '14:12', '10:24', '20:08', '18:46']\n",
+ " ref_animal = ['Grizzly', 'Elk', 'Elk', 'Wolverine', 'Muskox']\n",
+ " ref_count = [36, 25, 26, 31, 20]\n",
+ " \n",
+ " assert date == ref_date, 'Dates do not match!'\n",
+ " assert time == ref_time, 'Times do not match!'\n",
+ " assert animal == ref_animal, 'Animals do not match!'\n",
+ " assert count == ref_count, 'Counts do not match!'"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 24
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "test_read_animals()"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 19
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%load_ext ipython_nose"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stderr",
+ "text": [
+ "/Users/mrdavis/.homebrew/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nose/plugins/manager.py:418: UserWarning: Module argparse was already imported from /Users/mrdavis/.homebrew/Cellar/python/2.7.3/Frameworks/Python.framework/Versions/2.7/lib/python2.7/argparse.pyc, but /usr/local/lib/python2.7/site-packages is being added to sys.path\n",
+ " import pkg_resources\n"
+ ]
+ }
+ ],
+ "prompt_number": 20
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%nose"
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+ "metadata": {},
+ "outputs": [
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+ ],
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+ },
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+ "javascript": [
+ "document.ipython_nose_6f9af703139c456f96a60b847ccf532d.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "delete document.ipython_nose_6f9af703139c456f96a60b847ccf532d;"
+ ],
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+ },
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+ " padding: 1ex 0px 1ex 0px;\n",
+ " }\n",
+ " div.nosebar.fail {\n",
+ " background: #ff3019; /* Old browsers */\n",
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+ " background: -moz-linear-gradient(top, #ff3019 0%, #cf0404 100%);\n",
+ " /* Chrome,Safari4+ */\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(0%,#ff3019),\n",
+ " color-stop(100%,#cf0404));\n",
+ " /* Chrome10+,Safari5.1+ */\n",
+ " background: -webkit-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* Opera 11.10+ */\n",
+ " background: -o-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* IE10+ */\n",
+ " background: -ms-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* W3C */\n",
+ " background: linear-gradient(to bottom, #ff3019 0%,#cf0404 100%);\n",
+ " }\n",
+ " div.nosebar.pass {\n",
+ " background: #52b152;\n",
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+ " background: -ms-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
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+ " }\n",
+ " div.nosebar.skip {\n",
+ " background: #f1e767;\n",
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+ " background: -ms-linear-gradient(top, #f1e767 0%,#feb645 100%);\n",
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+ " }\n",
+ " div.nosebar.leftmost {\n",
+ " border-radius: 4px 0 0 4px;\n",
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+ " div.nosebar.rightmost {\n",
+ " border-radius: 0 4px 4px 0;\n",
+ " }\n",
+ " div.nosefailbanner {\n",
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+ " border-left: 10px solid #cf0404;\n",
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+ " margin-bottom: 0px;\n",
+ " }\n",
+ " div.nosefailbanner.expanded {\n",
+ " border-radius: 4px 4px 0 0;\n",
+ " border-top: 10px solid #cf0404;\n",
+ " }\n",
+ " pre.nosetraceback {\n",
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+ " border-left: 10px solid #cf0404;\n",
+ " padding: 1em;\n",
+ " margin-left: 0px;\n",
+ " margin-top: 0px;\n",
+ " display: none;\n",
+ " }\n",
+ " </style>\n",
+ " \n",
+ " <script>\n",
+ " setTimeout(function () {\n",
+ " $('.nosefailtoggle').bind(\n",
+ " 'click',\n",
+ " function () {\n",
+ " $(\n",
+ " $(this)\n",
+ " .parent().toggleClass('expanded')\n",
+ " .parent()\n",
+ " .children()\n",
+ " .filter('.nosetraceback')\n",
+ " ).toggle();\n",
+ " }\n",
+ " );},\n",
+ " 0);\n",
+ " </script>\n",
+ " \n",
+ " <div class=\"noseresults\">\n",
+ " <div class=\"nosebar fail leftmost\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar skip\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar pass rightmost\" style=\"width: 100%\">\n",
+ " \n",
+ " </div>\n",
+ " 1/1 tests passed\n",
+ " </div>\n",
+ " "
+ ],
+ "output_type": "pyout",
+ "prompt_number": 25,
+ "text": [
+ "1/1 tests passed\n"
+ ]
+ }
+ ],
+ "prompt_number": 25
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def calc_mean(ilist):\n",
+ " '''\n",
+ " returns the mean of input list\n",
+ " '''\n",
+ " if len(ilist) == 0:\n",
+ " raise ValueError('Input is empty.')\n",
+ " \n",
+ " total = 0.0\n",
+ " for num in ilist:\n",
+ " total = total + num\n",
+ " return total/float(len(ilist))"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 30
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "import nose.tools as nt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 27
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def test_mean1():\n",
+ " m = calc_mean([1, 2, 3])\n",
+ " assert m == 2\n",
+ " \n",
+ "def test_mean2():\n",
+ " m = calc_mean([1])\n",
+ " assert m == 1\n",
+ "\n",
+ "def test_mean3():\n",
+ " m = calc_mean([3.4, 3.5, 3.6])\n",
+ " assert m == 3.5\n",
+ "\n",
+ "@nt.raises(ValueError)\n",
+ "def test_mean4():\n",
+ " m = calc_mean([])"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 28
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%nose"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div id=\"ipython_nose_78c80018c7cf4f79834c36da78624ba0\"></div>"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_78c80018c7cf4f79834c36da78624ba0 = $(\"#ipython_nose_78c80018c7cf4f79834c36da78624ba0\");"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_78c80018c7cf4f79834c36da78624ba0.append($(\"<span>.</span>\"));"
+ ],
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+ },
+ {
+ "javascript": [
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+ },
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+ },
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+ ],
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+ },
+ {
+ "javascript": [
+ "delete document.ipython_nose_78c80018c7cf4f79834c36da78624ba0;"
+ ],
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+ },
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+ " div.noseresults {\n",
+ " width: 100%;\n",
+ " }\n",
+ " div.nosebar {\n",
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+ " padding: 1ex 0px 1ex 0px;\n",
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+ " div.nosebar.fail {\n",
+ " background: #ff3019; /* Old browsers */\n",
+ " /* FF3.6+ */\n",
+ " background: -moz-linear-gradient(top, #ff3019 0%, #cf0404 100%);\n",
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+ " background: -webkit-gradient(linear, left top, left bottom,\n",
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+ " background: -webkit-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* Opera 11.10+ */\n",
+ " background: -o-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
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+ " div.nosebar.leftmost {\n",
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+ " border-left: 10px solid #cf0404;\n",
+ " padding: 0.5ex 0em 0.5ex 1em;\n",
+ " margin-top: 1ex;\n",
+ " margin-bottom: 0px;\n",
+ " }\n",
+ " div.nosefailbanner.expanded {\n",
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+ " \n",
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+ " <div class=\"nosebar pass rightmost\" style=\"width: 100%\">\n",
+ " \n",
+ " </div>\n",
+ " 5/5 tests passed\n",
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+ " "
+ ],
+ "output_type": "pyout",
+ "prompt_number": 31,
+ "text": [
+ "5/5 tests passed\n"
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+ }
+ ],
+ "prompt_number": 31
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def filter_animals(species, date, time, animal, count):\n",
+ " \"\"\"\n",
+ " Given a particular species, filter out the data for just that species.\n",
+ "\n",
+ " Returns four lists: date, time, animal, count.\n",
+ " \"\"\"\n",
+ " fdate = []\n",
+ " ftime = []\n",
+ " fanimal = []\n",
+ " fcount = []\n",
+ " \n",
+ " for d, t, a, c in zip(date, time, animal, count):\n",
+ " if a == species:\n",
+ " fdate.append(d)\n",
+ " ftime.append(t)\n",
+ " fanimal.append(a)\n",
+ " fcount.append(c)\n",
+ " \n",
+ " return fdate, ftime, fanimal, fcount"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 36
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "cat animals.txt"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "stream",
+ "stream": "stdout",
+ "text": [
+ "2011-04-22 21:06 Grizzly 36\r\n",
+ "2011-04-23 14:12 Elk 25\r\n",
+ "2011-04-23 10:24 Elk 26\r\n",
+ "2011-04-23 20:08 Wolverine 31\r\n",
+ "2011-04-23 18:46 Muskox 20\r\n"
+ ]
+ }
+ ],
+ "prompt_number": 33
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def test_filter_animals1():\n",
+ " date, time, animal, count = read_file('animals.txt')\n",
+ " fdate, ftime, fanimal, fcount = filter_animals('Elk', date, time, animal, count)\n",
+ " \n",
+ " assert fdate == ['2011-04-23', '2011-04-23']\n",
+ " assert ftime == ['14:12', '10:24']\n",
+ " assert fanimal == ['Elk', 'Elk']\n",
+ " assert fcount == [25, 26]"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 37
+ },
+ {
+ "cell_type": "code",
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+ "output_type": "display_data"
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+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "delete document.ipython_nose_d965cb31197d482394af98b11319a703;"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "html": [
+ " <style type=\"text/css\">\n",
+ " span.nosefailedfunc {\n",
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+ " font-weight: bold;\n",
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+ " div.noseresults {\n",
+ " width: 100%;\n",
+ " }\n",
+ " div.nosebar {\n",
+ " float: left;\n",
+ " padding: 1ex 0px 1ex 0px;\n",
+ " }\n",
+ " div.nosebar.fail {\n",
+ " background: #ff3019; /* Old browsers */\n",
+ " /* FF3.6+ */\n",
+ " background: -moz-linear-gradient(top, #ff3019 0%, #cf0404 100%);\n",
+ " /* Chrome,Safari4+ */\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(0%,#ff3019),\n",
+ " color-stop(100%,#cf0404));\n",
+ " /* Chrome10+,Safari5.1+ */\n",
+ " background: -webkit-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* Opera 11.10+ */\n",
+ " background: -o-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* IE10+ */\n",
+ " background: -ms-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* W3C */\n",
+ " background: linear-gradient(to bottom, #ff3019 0%,#cf0404 100%);\n",
+ " }\n",
+ " div.nosebar.pass {\n",
+ " background: #52b152;\n",
+ " background: -moz-linear-gradient(top, #52b152 1%, #008a00 100%);\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(1%,#52b152),\n",
+ " color-stop(100%,#008a00));\n",
+ " background: -webkit-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: -o-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: -ms-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: linear-gradient(to bottom, #52b152 1%,#008a00 100%);\n",
+ " }\n",
+ " div.nosebar.skip {\n",
+ " background: #f1e767;\n",
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+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(0%,#f1e767),\n",
+ " color-stop(100%,#feb645));\n",
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+ " background: -o-linear-gradient(top, #f1e767 0%,#feb645 100%);\n",
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+ " background: linear-gradient(to bottom, #f1e767 0%,#feb645 100%);\n",
+ " }\n",
+ " div.nosebar.leftmost {\n",
+ " border-radius: 4px 0 0 4px;\n",
+ " }\n",
+ " div.nosebar.rightmost {\n",
+ " border-radius: 0 4px 4px 0;\n",
+ " }\n",
+ " div.nosefailbanner {\n",
+ " border-radius: 4px 0 0 4px;\n",
+ " border-left: 10px solid #cf0404;\n",
+ " padding: 0.5ex 0em 0.5ex 1em;\n",
+ " margin-top: 1ex;\n",
+ " margin-bottom: 0px;\n",
+ " }\n",
+ " div.nosefailbanner.expanded {\n",
+ " border-radius: 4px 4px 0 0;\n",
+ " border-top: 10px solid #cf0404;\n",
+ " }\n",
+ " pre.nosetraceback {\n",
+ " border-radius: 0 4px 4px 4px;\n",
+ " border-left: 10px solid #cf0404;\n",
+ " padding: 1em;\n",
+ " margin-left: 0px;\n",
+ " margin-top: 0px;\n",
+ " display: none;\n",
+ " }\n",
+ " </style>\n",
+ " \n",
+ " <script>\n",
+ " setTimeout(function () {\n",
+ " $('.nosefailtoggle').bind(\n",
+ " 'click',\n",
+ " function () {\n",
+ " $(\n",
+ " $(this)\n",
+ " .parent().toggleClass('expanded')\n",
+ " .parent()\n",
+ " .children()\n",
+ " .filter('.nosetraceback')\n",
+ " ).toggle();\n",
+ " }\n",
+ " );},\n",
+ " 0);\n",
+ " </script>\n",
+ " \n",
+ " <div class=\"noseresults\">\n",
+ " <div class=\"nosebar fail leftmost\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar skip\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar pass rightmost\" style=\"width: 100%\">\n",
+ " \n",
+ " </div>\n",
+ " 6/6 tests passed\n",
+ " </div>\n",
+ " "
+ ],
+ "output_type": "pyout",
+ "prompt_number": 38,
+ "text": [
+ "6/6 tests passed\n"
+ ]
+ }
+ ],
+ "prompt_number": 38
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "d, t, a, c = read_file('animals.txt')\n",
+ "filter_animals('Grizzly', d, t, a, c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "output_type": "pyout",
+ "prompt_number": 40,
+ "text": [
+ "(['2011-04-22'], ['21:06'], ['Grizzly'], [36])"
+ ]
+ }
+ ],
+ "prompt_number": 40
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def mean_animals(filename, species):\n",
+ " d, t, a, c = read_file(filename)\n",
+ " d, t, a, c = filter_animals(species, d, t, a, c)\n",
+ " return calc_mean(c)"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 41
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "def test_mean_animals1():\n",
+ " m = mean_animals('animals.txt', 'Elk')\n",
+ " assert m == 25.5\n",
+ "\n",
+ "def test_mean_animals2():\n",
+ " m = mean_animals('animals.txt', 'Grizzly')\n",
+ " assert m == 36"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [],
+ "prompt_number": 42
+ },
+ {
+ "cell_type": "code",
+ "collapsed": false,
+ "input": [
+ "%nose"
+ ],
+ "language": "python",
+ "metadata": {},
+ "outputs": [
+ {
+ "html": [
+ "<div id=\"ipython_nose_237eee0b04e94196a101b786319e18c1\"></div>"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1 = $(\"#ipython_nose_237eee0b04e94196a101b786319e18c1\");"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
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+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "document.ipython_nose_237eee0b04e94196a101b786319e18c1.append($(\"<span>.</span>\"));"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "javascript": [
+ "delete document.ipython_nose_237eee0b04e94196a101b786319e18c1;"
+ ],
+ "output_type": "display_data"
+ },
+ {
+ "html": [
+ " <style type=\"text/css\">\n",
+ " span.nosefailedfunc {\n",
+ " font-family: monospace;\n",
+ " font-weight: bold;\n",
+ " }\n",
+ " div.noseresults {\n",
+ " width: 100%;\n",
+ " }\n",
+ " div.nosebar {\n",
+ " float: left;\n",
+ " padding: 1ex 0px 1ex 0px;\n",
+ " }\n",
+ " div.nosebar.fail {\n",
+ " background: #ff3019; /* Old browsers */\n",
+ " /* FF3.6+ */\n",
+ " background: -moz-linear-gradient(top, #ff3019 0%, #cf0404 100%);\n",
+ " /* Chrome,Safari4+ */\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(0%,#ff3019),\n",
+ " color-stop(100%,#cf0404));\n",
+ " /* Chrome10+,Safari5.1+ */\n",
+ " background: -webkit-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* Opera 11.10+ */\n",
+ " background: -o-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* IE10+ */\n",
+ " background: -ms-linear-gradient(top, #ff3019 0%,#cf0404 100%);\n",
+ " /* W3C */\n",
+ " background: linear-gradient(to bottom, #ff3019 0%,#cf0404 100%);\n",
+ " }\n",
+ " div.nosebar.pass {\n",
+ " background: #52b152;\n",
+ " background: -moz-linear-gradient(top, #52b152 1%, #008a00 100%);\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(1%,#52b152),\n",
+ " color-stop(100%,#008a00));\n",
+ " background: -webkit-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: -o-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: -ms-linear-gradient(top, #52b152 1%,#008a00 100%);\n",
+ " background: linear-gradient(to bottom, #52b152 1%,#008a00 100%);\n",
+ " }\n",
+ " div.nosebar.skip {\n",
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+ " background: -moz-linear-gradient(top, #f1e767 0%, #feb645 100%);\n",
+ " background: -webkit-gradient(linear, left top, left bottom,\n",
+ " color-stop(0%,#f1e767),\n",
+ " color-stop(100%,#feb645));\n",
+ " background: -webkit-linear-gradient(top, #f1e767 0%,#feb645 100%);\n",
+ " background: -o-linear-gradient(top, #f1e767 0%,#feb645 100%);\n",
+ " background: -ms-linear-gradient(top, #f1e767 0%,#feb645 100%);\n",
+ " background: linear-gradient(to bottom, #f1e767 0%,#feb645 100%);\n",
+ " }\n",
+ " div.nosebar.leftmost {\n",
+ " border-radius: 4px 0 0 4px;\n",
+ " }\n",
+ " div.nosebar.rightmost {\n",
+ " border-radius: 0 4px 4px 0;\n",
+ " }\n",
+ " div.nosefailbanner {\n",
+ " border-radius: 4px 0 0 4px;\n",
+ " border-left: 10px solid #cf0404;\n",
+ " padding: 0.5ex 0em 0.5ex 1em;\n",
+ " margin-top: 1ex;\n",
+ " margin-bottom: 0px;\n",
+ " }\n",
+ " div.nosefailbanner.expanded {\n",
+ " border-radius: 4px 4px 0 0;\n",
+ " border-top: 10px solid #cf0404;\n",
+ " }\n",
+ " pre.nosetraceback {\n",
+ " border-radius: 0 4px 4px 4px;\n",
+ " border-left: 10px solid #cf0404;\n",
+ " padding: 1em;\n",
+ " margin-left: 0px;\n",
+ " margin-top: 0px;\n",
+ " display: none;\n",
+ " }\n",
+ " </style>\n",
+ " \n",
+ " <script>\n",
+ " setTimeout(function () {\n",
+ " $('.nosefailtoggle').bind(\n",
+ " 'click',\n",
+ " function () {\n",
+ " $(\n",
+ " $(this)\n",
+ " .parent().toggleClass('expanded')\n",
+ " .parent()\n",
+ " .children()\n",
+ " .filter('.nosetraceback')\n",
+ " ).toggle();\n",
+ " }\n",
+ " );},\n",
+ " 0);\n",
+ " </script>\n",
+ " \n",
+ " <div class=\"noseresults\">\n",
+ " <div class=\"nosebar fail leftmost\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar skip\" style=\"width: 0%\">\n",
+ " \n",
+ " </div>\n",
+ " <div class=\"nosebar pass rightmost\" style=\"width: 100%\">\n",
+ " \n",
+ " </div>\n",
+ " 8/8 tests passed\n",
+ " </div>\n",
+ " "
+ ],
+ "output_type": "pyout",
+ "prompt_number": 43,
+ "text": [
+ "8/8 tests passed\n"
+ ]
+ }
+ ],
+ "prompt_number": 43
+ },
{
"cell_type": "code",
"collapsed": false,
projects / swc-testing-nose.git / commitdiff