| 1 | import unittest |
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| 2 | import os |
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| 3 | import csv |
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| 4 | |
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| 5 | import order_boundary as ob |
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| 6 | |
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| 7 | |
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| 8 | class Test_order_boundary(unittest.TestCase): |
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| 9 | def setUp(self): |
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| 10 | pass |
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| 11 | |
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| 12 | def tearDown(self): |
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| 13 | pass |
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| 14 | |
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| 15 | def test_simple(self): |
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| 16 | |
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| 17 | # filenames |
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| 18 | Test_input_file_path = 'test.in.csv' |
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| 19 | Test_output_file_path = 'test.out.csv' |
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| 20 | |
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| 21 | # input data |
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| 22 | Data = [('longitude','latitude','index'), |
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| 23 | ( 1.0, 1.0, 'alpha', 'extra'), |
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| 24 | ( 2.3, 2.0, 'bravo'), |
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| 25 | ( 3.9, 3.0, 'charlie'), |
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| 26 | ( 9.0, 9.9, 'delta'), |
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| 27 | (10.0, 10.4, 'echo'), |
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| 28 | (11.0, 11.0, 'foxtrot'), |
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| 29 | (15.9, 16.0, 'golf'), |
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| 30 | (17.0, 17.1, 'hotel'), |
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| 31 | (17.9, 18.0, 'india'), |
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| 32 | (12.2, 12.0, 'juliet'), |
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| 33 | ( 4.7, 4.0, 'kilo'), |
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| 34 | ( 5.2, 5.0, 'lima'), |
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| 35 | ( 6.0, 6.0, 'mike'), |
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| 36 | ( 7.0, 7.3, 'november', 'extra', 'extra', 'extra'), |
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| 37 | ( 8.0, 8.7, 'oscar'), |
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| 38 | (13.6, 13.0, 'papa'), |
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| 39 | (14.9, 14.0, 'quebec'), |
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| 40 | (15.8, 15.0, 'romeo'), |
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| 41 | (16.0, 16.2, 'sierra'), |
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| 42 | (17.1, 17.1, 'tango'), |
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| 43 | (18.0, 18.7, 'uniform'), |
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| 44 | (19.0, 19.9, 'victor'), |
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| 45 | (20.0, 20.0, 'whisky')] |
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| 46 | |
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| 47 | # expected output data |
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| 48 | Expected = [('longitude','latitude','index'), |
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| 49 | ( 1.0, 1.0, 'alpha', 'extra'), |
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| 50 | ( 2.3, 2.0, 'bravo'), |
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| 51 | ( 3.9, 3.0, 'charlie'), |
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| 52 | ( 4.7, 4.0, 'kilo'), |
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| 53 | ( 5.2, 5.0, 'lima'), |
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| 54 | ( 6.0, 6.0, 'mike'), |
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| 55 | ( 7.0, 7.3, 'november', 'extra', 'extra', 'extra'), |
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| 56 | ( 8.0, 8.7, 'oscar'), |
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| 57 | ( 9.0, 9.9, 'delta'), |
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| 58 | (10.0, 10.4, 'echo'), |
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| 59 | (11.0, 11.0, 'foxtrot'), |
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| 60 | (12.2, 12.0, 'juliet'), |
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| 61 | (13.6, 13.0, 'papa'), |
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| 62 | (14.9, 14.0, 'quebec'), |
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| 63 | (15.8, 15.0, 'romeo'), |
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| 64 | (15.9, 16.0, 'golf'), |
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| 65 | (16.0, 16.2, 'sierra'), |
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| 66 | (17.0, 17.1, 'hotel'), |
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| 67 | (17.1, 17.1, 'tango'), |
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| 68 | (17.9, 18.0, 'india'), |
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| 69 | (18.0, 18.7, 'uniform'), |
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| 70 | (19.0, 19.9, 'victor'), |
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| 71 | (20.0, 20.0, 'whisky')] |
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| 72 | |
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| 73 | # put test data into a file |
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| 74 | fd = open(Test_input_file_path, 'wb') |
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| 75 | w = csv.writer(fd) |
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| 76 | for d in Data: |
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| 77 | w.writerow(d) |
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| 78 | fd.close() |
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| 79 | |
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| 80 | # call routine, put sorted points into output file |
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| 81 | ob.order_boundary(Test_input_file_path, Test_output_file_path) |
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| 82 | |
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| 83 | # get sorted data into memory |
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| 84 | fd = open(Test_output_file_path, 'r') |
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| 85 | data_list = [] |
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| 86 | for data in csv.reader(fd): |
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| 87 | try: |
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| 88 | data[0] = float(data[0]) |
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| 89 | except: |
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| 90 | pass |
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| 91 | try: |
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| 92 | data[1] = float(data[1]) |
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| 93 | except: |
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| 94 | pass |
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| 95 | data_list.append(tuple(data)) |
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| 96 | fd.close() |
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| 97 | |
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| 98 | # check same as Expected |
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| 99 | self.failUnless(data_list == Expected) |
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| 100 | |
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| 101 | # clean up |
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| 102 | try: |
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| 103 | os.remove(Test_input_file_path) |
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| 104 | except: |
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| 105 | pass |
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| 106 | try: |
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| 107 | os.remove(Test_output_file_path) |
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| 108 | except: |
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| 109 | pass |
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| 110 | |
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| 111 | # Not a correctness test, as the result was generated by the routine. |
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| 112 | # Still good as a regression test - Johnno told me the output was good. |
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| 113 | def test_regression(self): |
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| 114 | |
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| 115 | infile = 'test.in.csv' |
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| 116 | outfile = 'test.out.csv' |
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| 117 | |
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| 118 | data = [('longitude','latitude','index'), |
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| 119 | (150.0833,-37.5,2758), |
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| 120 | (150.1,-37.4667,2765), |
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| 121 | (150.1167,-37.3833,2769), |
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| 122 | (150.1333,-36.7167,2771), |
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| 123 | (150.1333,-36.7667,2774), |
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| 124 | (150.15,-36.5833,2777), |
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| 125 | (150.15,-36.6333,2780), |
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| 126 | (150.15,-36.6833,2783), |
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| 127 | (150.15,-36.8167,2787), |
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| 128 | (150.15,-36.8667,2790), |
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| 129 | (150.15,-36.9167,2793), |
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| 130 | (150.15,-37.35,2795), |
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| 131 | (150.1667,-36.5,2796), |
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| 132 | (150.1667,-36.55,2799), |
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| 133 | (150.1667,-36.9667,2804), |
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| 134 | (150.1667,-37.0167,2807), |
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| 135 | (150.1667,-37.25,2808), |
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| 136 | (150.1667,-37.3,2811), |
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| 137 | (150.1833,-36.45,2815), |
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| 138 | (150.1833,-37.05,2821), |
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| 139 | (150.1833,-37.1,2824), |
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| 140 | (150.1833,-37.2167,2827), |
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| 141 | (150.2,-36.4,2831), |
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| 142 | (150.2,-37.1333,2835), |
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| 143 | (150.2,-37.1667,2837), |
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| 144 | (150.2,-37.2,2839), |
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| 145 | (150.2167,-36.3667,2841), |
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| 146 | (150.2333,-36.0667,2844), |
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| 147 | (150.2333,-36.1167,2847), |
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| 148 | (150.25,-36.0167,2852), |
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| 149 | (150.25,-36.1667,2856), |
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| 150 | (150.25,-36.2167,2859), |
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| 151 | (150.25,-36.3333,2862), |
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| 152 | (150.2667,-36.25,2865), |
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| 153 | (150.2667,-36.3,2868), |
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| 154 | (150.3,-35.8833,2870), |
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| 155 | (150.35,-35.75,2872), |
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| 156 | (150.4333,-35.6333,2873), |
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| 157 | (150.5,-35.5,2875), |
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| 158 | (150.5667,-35.4,2878), |
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| 159 | (150.6,-35.3667,2882), |
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| 160 | (150.6333,-35.3333,2889), |
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| 161 | (150.6667,-35.3,2893), |
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| 162 | (150.7,-35.2667,2898), |
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| 163 | (150.75,-35.2333,2903), |
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| 164 | (150.8,-35.1833,2907), |
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| 165 | (150.8333,-35.1333,2913), |
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| 166 | (150.8667,-35.1,2918), |
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| 167 | (150.9,-35.0667,2923), |
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| 168 | (150.9333,-35.0167,2927), |
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| 169 | (150.95,-34.9833,2938), |
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| 170 | (150.9667,-34.6333,2940), |
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| 171 | (150.9667,-34.6667,2942), |
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| 172 | (150.9667,-34.7,2944), |
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| 173 | (150.9667,-34.75,2947), |
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| 174 | (150.9667,-34.8,2948), |
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| 175 | (150.9667,-34.85,2951), |
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| 176 | (150.9667,-34.9,2953), |
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| 177 | (150.9667,-34.95,2956), |
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| 178 | (150.9833,-34.5833,2958), |
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| 179 | (151,-34.55,2962), |
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| 180 | (151.0167,-34.5167,2965), |
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| 181 | (151.0333,-34.5,2968), |
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| 182 | (151.05,-34.4667,2971), |
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| 183 | (151.0667,-34.4333,2974), |
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| 184 | (151.0833,-34.4,2977), |
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| 185 | (151.1,-34.35,2980), |
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| 186 | (151.1167,-34.3167,2984), |
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| 187 | (151.1333,-34.2833,2988), |
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| 188 | (151.15,-34.2333,2991), |
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| 189 | (151.1667,-34.1833,2995), |
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| 190 | (151.2,-34.15,3002), |
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| 191 | (151.2333,-34.1167,3008), |
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| 192 | (151.2667,-34.0833,3012), |
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| 193 | (151.3,-34.05,3016), |
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| 194 | (151.3333,-34.0167,3021), |
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| 195 | (151.3667,-33.9833,3023), |
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| 196 | (151.3833,-33.95,3027), |
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| 197 | (151.4,-33.85,3031), |
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| 198 | (151.4,-33.9,3034), |
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| 199 | (151.4167,-33.8,3037), |
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| 200 | (151.4333,-33.75,3041), |
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| 201 | (151.45,-33.7167,3046), |
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| 202 | (151.4833,-33.6833,3051), |
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| 203 | (151.5167,-33.65,3054), |
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| 204 | (151.55,-33.6167,3058), |
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| 205 | (151.5667,-33.5833,3060), |
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| 206 | (151.5833,-33.55,3063), |
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| 207 | (151.6167,-33.5167,3070), |
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| 208 | (151.65,-33.4833,3074), |
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| 209 | (151.6833,-33.45,3077), |
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| 210 | (151.7333,-33.35,3084), |
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| 211 | (151.7333,-33.4,3087), |
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| 212 | (151.75,-33.3167,3089), |
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| 213 | (151.7667,-33.2667,3091), |
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| 214 | (151.7833,-33.2,3095), |
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| 215 | (151.8,-33.1667,3099), |
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| 216 | (151.8333,-33.1,3109), |
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| 217 | (151.8667,-33.0667,3116), |
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| 218 | (151.9,-33.0333,3120), |
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| 219 | (151.9333,-33,3125), |
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| 220 | (151.9833,-32.9667,3130), |
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| 221 | (152.0333,-32.9333,3137), |
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| 222 | (152.1,-32.9,3145), |
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| 223 | (152.15,-32.8667,3151), |
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| 224 | (152.2,-32.8333,3158), |
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| 225 | (152.25,-32.8,3164), |
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| 226 | (152.2833,-32.7667,3168), |
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| 227 | (152.3333,-32.7167,3177), |
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| 228 | (152.3667,-32.7,3181), |
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| 229 | (152.4,-32.6667,3183), |
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| 230 | (152.4333,-32.65,3187), |
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| 231 | (152.4833,-32.6167,3193), |
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| 232 | (152.5167,-32.5833,3198), |
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| 233 | (152.55,-32.55,3202)] |
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| 234 | |
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| 235 | expected = [('longitude','latitude','index'), |
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| 236 | (150.0833,-37.5,'2758'), |
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| 237 | (150.1,-37.4667,'2765'), |
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| 238 | (150.1167,-37.3833,'2769'), |
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| 239 | (150.15,-37.35,'2795'), |
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| 240 | (150.1667,-37.3,'2811'), |
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| 241 | (150.1667,-37.25,'2808'), |
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| 242 | (150.1833,-37.2167,'2827'), |
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| 243 | (150.2,-37.2,'2839'), |
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| 244 | (150.2,-37.1667,'2837'), |
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| 245 | (150.2,-37.1333,'2835'), |
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| 246 | (150.1833,-37.1,'2824'), |
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| 247 | (150.1833,-37.05,'2821'), |
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| 248 | (150.1667,-37.0167,'2807'), |
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| 249 | (150.1667,-36.9667,'2804'), |
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| 250 | (150.15,-36.9167,'2793'), |
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| 251 | (150.15,-36.8667,'2790'), |
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| 252 | (150.15,-36.8167,'2787'), |
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| 253 | (150.1333,-36.7667,'2774'), |
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| 254 | (150.1333,-36.7167,'2771'), |
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| 255 | (150.15,-36.6833,'2783'), |
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| 256 | (150.15,-36.6333,'2780'), |
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| 257 | (150.15,-36.5833,'2777'), |
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| 258 | (150.1667,-36.55,'2799'), |
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| 259 | (150.1667,-36.5,'2796'), |
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| 260 | (150.1833,-36.45,'2815'), |
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| 261 | (150.2,-36.4,'2831'), |
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| 262 | (150.2167,-36.3667,'2841'), |
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| 263 | (150.25,-36.3333,'2862'), |
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| 264 | (150.2667,-36.3,'2868'), |
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| 265 | (150.2667,-36.25,'2865'), |
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| 266 | (150.25,-36.2167,'2859'), |
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| 267 | (150.25,-36.1667,'2856'), |
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| 268 | (150.2333,-36.1167,'2847'), |
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| 269 | (150.2333,-36.0667,'2844'), |
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| 270 | (150.25,-36.0167,'2852'), |
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| 271 | (150.3,-35.8833,'2870'), |
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| 272 | (150.35,-35.75,'2872'), |
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| 273 | (150.4333,-35.6333,'2873'), |
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| 274 | (150.5,-35.5,'2875'), |
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| 275 | (150.5667,-35.4,'2878'), |
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| 276 | (150.6,-35.3667,'2882'), |
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| 277 | (150.6333,-35.3333,'2889'), |
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| 278 | (150.6667,-35.3,'2893'), |
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| 279 | (150.7,-35.2667,'2898'), |
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| 280 | (150.75,-35.2333,'2903'), |
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| 281 | (150.8,-35.1833,'2907'), |
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| 282 | (150.8333,-35.1333,'2913'), |
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| 283 | (150.8667,-35.1,'2918'), |
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| 284 | (150.9,-35.0667,'2923'), |
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| 285 | (150.9333,-35.0167,'2927'), |
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| 286 | (150.95,-34.9833,'2938'), |
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| 287 | (150.9667,-34.95,'2956'), |
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| 288 | (150.9667,-34.9,'2953'), |
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| 289 | (150.9667,-34.85,'2951'), |
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| 290 | (150.9667,-34.8,'2948'), |
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| 291 | (150.9667,-34.75,'2947'), |
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| 292 | (150.9667,-34.7,'2944'), |
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| 293 | (150.9667,-34.6667,'2942'), |
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| 294 | (150.9667,-34.6333,'2940'), |
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| 295 | (150.9833,-34.5833,'2958'), |
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| 296 | (151.0,-34.55,'2962'), |
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| 297 | (151.0167,-34.5167,'2965'), |
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| 298 | (151.0333,-34.5,'2968'), |
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| 299 | (151.05,-34.4667,'2971'), |
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| 300 | (151.0667,-34.4333,'2974'), |
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| 301 | (151.0833,-34.4,'2977'), |
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| 302 | (151.1,-34.35,'2980'), |
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| 303 | (151.1167,-34.3167,'2984'), |
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| 304 | (151.1333,-34.2833,'2988'), |
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| 305 | (151.15,-34.2333,'2991'), |
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| 306 | (151.1667,-34.1833,'2995'), |
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| 307 | (151.2,-34.15,'3002'), |
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| 308 | (151.2333,-34.1167,'3008'), |
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| 309 | (151.2667,-34.0833,'3012'), |
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| 310 | (151.3,-34.05,'3016'), |
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| 311 | (151.3333,-34.0167,'3021'), |
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| 312 | (151.3667,-33.9833,'3023'), |
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| 313 | (151.3833,-33.95,'3027'), |
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| 314 | (151.4,-33.9,'3034'), |
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| 315 | (151.4,-33.85,'3031'), |
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| 316 | (151.4167,-33.8,'3037'), |
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| 317 | (151.4333,-33.75,'3041'), |
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| 318 | (151.45,-33.7167,'3046'), |
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| 319 | (151.4833,-33.6833,'3051'), |
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| 320 | (151.5167,-33.65,'3054'), |
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| 321 | (151.55,-33.6167,'3058'), |
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| 322 | (151.5667,-33.5833,'3060'), |
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| 323 | (151.5833,-33.55,'3063'), |
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| 324 | (151.6167,-33.5167,'3070'), |
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| 325 | (151.65,-33.4833,'3074'), |
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| 326 | (151.6833,-33.45,'3077'), |
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| 327 | (151.7333,-33.4,'3087'), |
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| 328 | (151.7333,-33.35,'3084'), |
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| 329 | (151.75,-33.3167,'3089'), |
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| 330 | (151.7667,-33.2667,'3091'), |
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| 331 | (151.7833,-33.2,'3095'), |
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| 332 | (151.8,-33.1667,'3099'), |
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| 333 | (151.8333,-33.1,'3109'), |
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| 334 | (151.8667,-33.0667,'3116'), |
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| 335 | (151.9,-33.0333,'3120'), |
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| 336 | (151.9333,-33.0,'3125'), |
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| 337 | (151.9833,-32.9667,'3130'), |
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| 338 | (152.0333,-32.9333,'3137'), |
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| 339 | (152.1,-32.9,'3145'), |
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| 340 | (152.15,-32.8667,'3151'), |
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| 341 | (152.2,-32.8333,'3158'), |
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| 342 | (152.25,-32.8,'3164'), |
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| 343 | (152.2833,-32.7667,'3168'), |
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| 344 | (152.3333,-32.7167,'3177'), |
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| 345 | (152.3667,-32.7,'3181'), |
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| 346 | (152.4,-32.6667,'3183'), |
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| 347 | (152.4333,-32.65,'3187'), |
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| 348 | (152.4833,-32.6167,'3193'), |
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| 349 | (152.5167,-32.5833,'3198'), |
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| 350 | (152.55,-32.55,'3202')] |
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| 351 | |
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| 352 | # put test data into a file |
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| 353 | fd = open(infile, 'wb') |
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| 354 | w = csv.writer(fd) |
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| 355 | for d in data: |
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| 356 | w.writerow(d) |
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| 357 | fd.close() |
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| 358 | |
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| 359 | # call routine, put sorted points into output file |
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| 360 | ob.order_boundary(infile, outfile) |
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| 361 | |
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| 362 | # get sorted data into memory |
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| 363 | fd = open(outfile, 'r') |
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| 364 | data_list = [] |
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| 365 | for data in csv.reader(fd): |
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| 366 | try: |
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| 367 | data[0] = float(data[0]) |
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| 368 | except: |
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| 369 | pass |
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| 370 | try: |
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| 371 | data[1] = float(data[1]) |
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| 372 | except: |
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| 373 | pass |
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| 374 | data_list.append(tuple(data)) |
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| 375 | fd.close() |
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| 376 | |
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| 377 | # check same as expected |
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| 378 | self.failUnless(data_list == expected) |
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| 379 | |
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| 380 | # clean up |
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| 381 | try: |
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| 382 | os.remove(infile) |
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| 383 | except: |
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| 384 | pass |
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| 385 | try: |
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| 386 | os.remove(outfile) |
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| 387 | except: |
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| 388 | pass |
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| 389 | |
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| 390 | |
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| 391 | #------------------------------------------------------------- |
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| 392 | |
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| 393 | if __name__ == "__main__": |
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| 394 | suite = unittest.makeSuite(Test_order_boundary, 'test') |
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| 395 | runner = unittest.TextTestRunner() |
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| 396 | runner.run(suite) |
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| 397 | |
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