def test_regression(self):
infile = 'test.in.csv'
outfile = 'test.out.csv'
data = [('longitude', 'latitude', 'index'), (150.0833, -37.5, 2758),
(150.1, -37.4667, 2765), (150.1167, -37.3833, 2769),
(150.1333, -36.7167, 2771), (150.1333, -36.7667, 2774),
(150.15, -36.5833, 2777), (150.15, -36.6333, 2780),
(150.15, -36.6833, 2783), (150.15, -36.8167, 2787),
(150.15, -36.8667, 2790), (150.15, -36.9167, 2793),
(150.15, -37.35, 2795), (150.1667, -36.5, 2796),
(150.1667, -36.55, 2799), (150.1667, -36.9667, 2804),
(150.1667, -37.0167, 2807), (150.1667, -37.25, 2808),
(150.1667, -37.3, 2811), (150.1833, -36.45, 2815),
(150.1833, -37.05, 2821), (150.1833, -37.1, 2824),
(150.1833, -37.2167, 2827), (150.2, -36.4, 2831),
(150.2, -37.1333, 2835), (150.2, -37.1667, 2837),
(150.2, -37.2, 2839), (150.2167, -36.3667, 2841),
(150.2333, -36.0667, 2844), (150.2333, -36.1167, 2847),
(150.25, -36.0167, 2852), (150.25, -36.1667, 2856),
(150.25, -36.2167, 2859), (150.25, -36.3333, 2862),
(150.2667, -36.25, 2865), (150.2667, -36.3, 2868),
(150.3, -35.8833, 2870), (150.35, -35.75, 2872),
(150.4333, -35.6333, 2873), (150.5, -35.5, 2875),
(150.5667, -35.4, 2878), (150.6, -35.3667, 2882),
(150.6333, -35.3333, 2889), (150.6667, -35.3, 2893),
(150.7, -35.2667, 2898), (150.75, -35.2333, 2903),
(150.8, -35.1833, 2907), (150.8333, -35.1333, 2913),
(150.8667, -35.1, 2918), (150.9, -35.0667, 2923),
(150.9333, -35.0167, 2927), (150.95, -34.9833, 2938),
(150.9667, -34.6333, 2940), (150.9667, -34.6667, 2942),
(150.9667, -34.7, 2944), (150.9667, -34.75, 2947),
(150.9667, -34.8, 2948), (150.9667, -34.85, 2951),
(150.9667, -34.9, 2953), (150.9667, -34.95, 2956),
(150.9833, -34.5833, 2958), (151, -34.55, 2962),
(151.0167, -34.5167, 2965), (151.0333, -34.5, 2968),
(151.05, -34.4667, 2971), (151.0667, -34.4333, 2974),
(151.0833, -34.4, 2977), (151.1, -34.35, 2980),
(151.1167, -34.3167, 2984), (151.1333, -34.2833, 2988),
(151.15, -34.2333, 2991), (151.1667, -34.1833, 2995),
(151.2, -34.15, 3002), (151.2333, -34.1167, 3008),
(151.2667, -34.0833, 3012), (151.3, -34.05, 3016),
(151.3333, -34.0167, 3021), (151.3667, -33.9833, 3023),
(151.3833, -33.95, 3027), (151.4, -33.85, 3031),
(151.4, -33.9, 3034), (151.4167, -33.8, 3037),
(151.4333, -33.75, 3041), (151.45, -33.7167, 3046),
(151.4833, -33.6833, 3051), (151.5167, -33.65, 3054),
(151.55, -33.6167, 3058), (151.5667, -33.5833, 3060),
(151.5833, -33.55, 3063), (151.6167, -33.5167, 3070),
(151.65, -33.4833, 3074), (151.6833, -33.45, 3077),
(151.7333, -33.35, 3084), (151.7333, -33.4, 3087),
(151.75, -33.3167, 3089), (151.7667, -33.2667, 3091),
(151.7833, -33.2, 3095), (151.8, -33.1667, 3099),
(151.8333, -33.1, 3109), (151.8667, -33.0667, 3116),
(151.9, -33.0333, 3120), (151.9333, -33, 3125),
(151.9833, -32.9667, 3130), (152.0333, -32.9333, 3137),
(152.1, -32.9, 3145), (152.15, -32.8667, 3151),
(152.2, -32.8333, 3158), (152.25, -32.8, 3164),
(152.2833, -32.7667, 3168), (152.3333, -32.7167, 3177),
(152.3667, -32.7, 3181), (152.4, -32.6667, 3183),
(152.4333, -32.65, 3187), (152.4833, -32.6167, 3193),
(152.5167, -32.5833, 3198), (152.55, -32.55, 3202)]
expected = [('longitude', 'latitude', 'index'),
(150.0833, -37.5, '2758'), (150.1, -37.4667, '2765'),
(150.1167, -37.3833, '2769'), (150.15, -37.35, '2795'),
(150.1667, -37.3, '2811'), (150.1667, -37.25, '2808'),
(150.1833, -37.2167, '2827'), (150.2, -37.2, '2839'),
(150.2, -37.1667, '2837'), (150.2, -37.1333, '2835'),
(150.1833, -37.1, '2824'), (150.1833, -37.05, '2821'),
(150.1667, -37.0167, '2807'), (150.1667, -36.9667, '2804'),
(150.15, -36.9167, '2793'), (150.15, -36.8667, '2790'),
(150.15, -36.8167, '2787'), (150.1333, -36.7667, '2774'),
(150.1333, -36.7167, '2771'), (150.15, -36.6833, '2783'),
(150.15, -36.6333, '2780'), (150.15, -36.5833, '2777'),
(150.1667, -36.55, '2799'), (150.1667, -36.5, '2796'),
(150.1833, -36.45, '2815'), (150.2, -36.4, '2831'),
(150.2167, -36.3667, '2841'), (150.25, -36.3333, '2862'),
(150.2667, -36.3, '2868'), (150.2667, -36.25, '2865'),
(150.25, -36.2167, '2859'), (150.25, -36.1667, '2856'),
(150.2333, -36.1167, '2847'), (150.2333, -36.0667, '2844'),
(150.25, -36.0167, '2852'), (150.3, -35.8833, '2870'),
(150.35, -35.75, '2872'), (150.4333, -35.6333, '2873'),
(150.5, -35.5, '2875'), (150.5667, -35.4, '2878'),
(150.6, -35.3667, '2882'), (150.6333, -35.3333, '2889'),
(150.6667, -35.3, '2893'), (150.7, -35.2667, '2898'),
(150.75, -35.2333, '2903'), (150.8, -35.1833, '2907'),
(150.8333, -35.1333, '2913'), (150.8667, -35.1, '2918'),
(150.9, -35.0667, '2923'), (150.9333, -35.0167, '2927'),
(150.95, -34.9833, '2938'), (150.9667, -34.95, '2956'),
(150.9667, -34.9, '2953'), (150.9667, -34.85, '2951'),
(150.9667, -34.8, '2948'), (150.9667, -34.75, '2947'),
(150.9667, -34.7, '2944'), (150.9667, -34.6667, '2942'),
(150.9667, -34.6333, '2940'), (150.9833, -34.5833, '2958'),
(151.0, -34.55, '2962'), (151.0167, -34.5167, '2965'),
(151.0333, -34.5, '2968'), (151.05, -34.4667, '2971'),
(151.0667, -34.4333, '2974'), (151.0833, -34.4, '2977'),
(151.1, -34.35, '2980'), (151.1167, -34.3167, '2984'),
(151.1333, -34.2833, '2988'), (151.15, -34.2333, '2991'),
(151.1667, -34.1833, '2995'), (151.2, -34.15, '3002'),
(151.2333, -34.1167, '3008'), (151.2667, -34.0833, '3012'),
(151.3, -34.05, '3016'), (151.3333, -34.0167, '3021'),
(151.3667, -33.9833, '3023'), (151.3833, -33.95, '3027'),
(151.4, -33.9, '3034'), (151.4, -33.85, '3031'),
(151.4167, -33.8, '3037'), (151.4333, -33.75, '3041'),
(151.45, -33.7167, '3046'), (151.4833, -33.6833, '3051'),
(151.5167, -33.65, '3054'), (151.55, -33.6167, '3058'),
(151.5667, -33.5833, '3060'), (151.5833, -33.55, '3063'),
(151.6167, -33.5167, '3070'), (151.65, -33.4833, '3074'),
(151.6833, -33.45, '3077'), (151.7333, -33.4, '3087'),
(151.7333, -33.35, '3084'), (151.75, -33.3167, '3089'),
(151.7667, -33.2667, '3091'), (151.7833, -33.2, '3095'),
(151.8, -33.1667, '3099'), (151.8333, -33.1, '3109'),
(151.8667, -33.0667, '3116'), (151.9, -33.0333, '3120'),
(151.9333, -33.0, '3125'), (151.9833, -32.9667, '3130'),
(152.0333, -32.9333, '3137'), (152.1, -32.9, '3145'),
(152.15, -32.8667, '3151'), (152.2, -32.8333, '3158'),
(152.25, -32.8, '3164'), (152.2833, -32.7667, '3168'),
(152.3333, -32.7167, '3177'), (152.3667, -32.7, '3181'),
(152.4, -32.6667, '3183'), (152.4333, -32.65, '3187'),
(152.4833, -32.6167, '3193'), (152.5167, -32.5833, '3198'),
(152.55, -32.55, '3202')]
# put test data into a file
fd = open(infile, 'w')
w = csv.writer(fd)
for d in data:
w.writerow(d)
fd.close()
# call routine, put sorted points into output file
ob.order_boundary(infile, outfile)
# get sorted data into memory
fd = open(outfile, 'r')
data_list = []
for data in csv.reader(fd):
try:
data[0] = float(data[0])
except:
pass
try:
data[1] = float(data[1])
except:
pass
data_list.append(tuple(data))
fd.close()
# check same as expected
self.assertTrue(data_list == expected)
# clean up
try:
os.remove(infile)
except:
pass
try:
os.remove(outfile)
except:
pass
def test_simple(self):
# filenames
Test_input_file_path = 'test.in.csv'
Test_output_file_path = 'test.out.csv'
# input data
Data = [('longitude','latitude','index'),
( 1.0, 1.0, 'alpha', 'extra'),
( 2.3, 2.0, 'bravo'),
( 3.9, 3.0, 'charlie'),
( 9.0, 9.9, 'delta'),
(10.0, 10.4, 'echo'),
(11.0, 11.0, 'foxtrot'),
(15.9, 16.0, 'golf'),
(17.0, 17.1, 'hotel'),
(17.9, 18.0, 'india'),
(12.2, 12.0, 'juliet'),
( 4.7, 4.0, 'kilo'),
( 5.2, 5.0, 'lima'),
( 6.0, 6.0, 'mike'),
( 7.0, 7.3, 'november', 'extra', 'extra', 'extra'),
( 8.0, 8.7, 'oscar'),
(13.6, 13.0, 'papa'),
(14.9, 14.0, 'quebec'),
(15.8, 15.0, 'romeo'),
(16.0, 16.2, 'sierra'),
(17.1, 17.1, 'tango'),
(18.0, 18.7, 'uniform'),
(19.0, 19.9, 'victor'),
(20.0, 20.0, 'whisky')]
# expected output data
Expected = [('longitude','latitude','index'),
( 1.0, 1.0, 'alpha', 'extra'),
( 2.3, 2.0, 'bravo'),
( 3.9, 3.0, 'charlie'),
( 4.7, 4.0, 'kilo'),
( 5.2, 5.0, 'lima'),
( 6.0, 6.0, 'mike'),
( 7.0, 7.3, 'november', 'extra', 'extra', 'extra'),
( 8.0, 8.7, 'oscar'),
( 9.0, 9.9, 'delta'),
(10.0, 10.4, 'echo'),
(11.0, 11.0, 'foxtrot'),
(12.2, 12.0, 'juliet'),
(13.6, 13.0, 'papa'),
(14.9, 14.0, 'quebec'),
(15.8, 15.0, 'romeo'),
(15.9, 16.0, 'golf'),
(16.0, 16.2, 'sierra'),
(17.0, 17.1, 'hotel'),
(17.1, 17.1, 'tango'),
(17.9, 18.0, 'india'),
(18.0, 18.7, 'uniform'),
(19.0, 19.9, 'victor'),
(20.0, 20.0, 'whisky')]
# put test data into a file
fd = open(Test_input_file_path, 'wb')
w = csv.writer(fd)
for d in Data:
w.writerow(d)
fd.close()
# call routine, put sorted points into output file
ob.order_boundary(Test_input_file_path, Test_output_file_path)
# get sorted data into memory
fd = open(Test_output_file_path, 'r')
data_list = []
for data in csv.reader(fd):
try:
data[0] = float(data[0])
except:
pass
try:
data[1] = float(data[1])
except:
pass
data_list.append(tuple(data))
fd.close()
# check same as Expected
self.assertTrue(data_list == Expected)
# clean up
try:
os.remove(Test_input_file_path)
except:
pass
try:
os.remove(Test_output_file_path)
except:
pass
def test_simple(self):
# filenames
Test_input_file_path = 'test.in.csv'
Test_output_file_path = 'test.out.csv'
# input data
Data = [('longitude', 'latitude', 'index'),
(1.0, 1.0, 'alpha', 'extra'), (2.3, 2.0, 'bravo'),
(3.9, 3.0, 'charlie'), (9.0, 9.9, 'delta'),
(10.0, 10.4, 'echo'), (11.0, 11.0, 'foxtrot'),
(15.9, 16.0, 'golf'), (17.0, 17.1, 'hotel'),
(17.9, 18.0, 'india'), (12.2, 12.0, 'juliet'),
(4.7, 4.0, 'kilo'), (5.2, 5.0, 'lima'), (6.0, 6.0, 'mike'),
(7.0, 7.3, 'november', 'extra', 'extra', 'extra'),
(8.0, 8.7, 'oscar'), (13.6, 13.0, 'papa'),
(14.9, 14.0, 'quebec'), (15.8, 15.0, 'romeo'),
(16.0, 16.2, 'sierra'), (17.1, 17.1, 'tango'),
(18.0, 18.7, 'uniform'), (19.0, 19.9, 'victor'),
(20.0, 20.0, 'whisky')]
# expected output data
Expected = [('longitude', 'latitude', 'index'),
(1.0, 1.0, 'alpha', 'extra'), (2.3, 2.0, 'bravo'),
(3.9, 3.0, 'charlie'), (4.7, 4.0, 'kilo'),
(5.2, 5.0, 'lima'), (6.0, 6.0, 'mike'),
(7.0, 7.3, 'november', 'extra', 'extra', 'extra'),
(8.0, 8.7, 'oscar'), (9.0, 9.9, 'delta'),
(10.0, 10.4, 'echo'), (11.0, 11.0, 'foxtrot'),
(12.2, 12.0, 'juliet'), (13.6, 13.0, 'papa'),
(14.9, 14.0, 'quebec'), (15.8, 15.0, 'romeo'),
(15.9, 16.0, 'golf'), (16.0, 16.2, 'sierra'),
(17.0, 17.1, 'hotel'), (17.1, 17.1, 'tango'),
(17.9, 18.0, 'india'), (18.0, 18.7, 'uniform'),
(19.0, 19.9, 'victor'), (20.0, 20.0, 'whisky')]
# put test data into a file
fd = open(Test_input_file_path, 'w')
w = csv.writer(fd)
for d in Data:
w.writerow(d)
fd.close()
# call routine, put sorted points into output file
ob.order_boundary(Test_input_file_path, Test_output_file_path)
# get sorted data into memory
fd = open(Test_output_file_path, 'r')
data_list = []
for data in csv.reader(fd):
try:
data[0] = float(data[0])
except:
pass
try:
data[1] = float(data[1])
except:
pass
data_list.append(tuple(data))
fd.close()
# check same as Expected
self.assertTrue(data_list == Expected)
# clean up
try:
os.remove(Test_input_file_path)
except:
pass
try:
os.remove(Test_output_file_path)
except:
pass
def test_regression(self):
infile = 'test.in.csv'
outfile = 'test.out.csv'
data = [('longitude','latitude','index'),
(150.0833,-37.5,2758),
(150.1,-37.4667,2765),
(150.1167,-37.3833,2769),
(150.1333,-36.7167,2771),
(150.1333,-36.7667,2774),
(150.15,-36.5833,2777),
(150.15,-36.6333,2780),
(150.15,-36.6833,2783),
(150.15,-36.8167,2787),
(150.15,-36.8667,2790),
(150.15,-36.9167,2793),
(150.15,-37.35,2795),
(150.1667,-36.5,2796),
(150.1667,-36.55,2799),
(150.1667,-36.9667,2804),
(150.1667,-37.0167,2807),
(150.1667,-37.25,2808),
(150.1667,-37.3,2811),
(150.1833,-36.45,2815),
(150.1833,-37.05,2821),
(150.1833,-37.1,2824),
(150.1833,-37.2167,2827),
(150.2,-36.4,2831),
(150.2,-37.1333,2835),
(150.2,-37.1667,2837),
(150.2,-37.2,2839),
(150.2167,-36.3667,2841),
(150.2333,-36.0667,2844),
(150.2333,-36.1167,2847),
(150.25,-36.0167,2852),
(150.25,-36.1667,2856),
(150.25,-36.2167,2859),
(150.25,-36.3333,2862),
(150.2667,-36.25,2865),
(150.2667,-36.3,2868),
(150.3,-35.8833,2870),
(150.35,-35.75,2872),
(150.4333,-35.6333,2873),
(150.5,-35.5,2875),
(150.5667,-35.4,2878),
(150.6,-35.3667,2882),
(150.6333,-35.3333,2889),
(150.6667,-35.3,2893),
(150.7,-35.2667,2898),
(150.75,-35.2333,2903),
(150.8,-35.1833,2907),
(150.8333,-35.1333,2913),
(150.8667,-35.1,2918),
(150.9,-35.0667,2923),
(150.9333,-35.0167,2927),
(150.95,-34.9833,2938),
(150.9667,-34.6333,2940),
(150.9667,-34.6667,2942),
(150.9667,-34.7,2944),
(150.9667,-34.75,2947),
(150.9667,-34.8,2948),
(150.9667,-34.85,2951),
(150.9667,-34.9,2953),
(150.9667,-34.95,2956),
(150.9833,-34.5833,2958),
(151,-34.55,2962),
(151.0167,-34.5167,2965),
(151.0333,-34.5,2968),
(151.05,-34.4667,2971),
(151.0667,-34.4333,2974),
(151.0833,-34.4,2977),
(151.1,-34.35,2980),
(151.1167,-34.3167,2984),
(151.1333,-34.2833,2988),
(151.15,-34.2333,2991),
(151.1667,-34.1833,2995),
(151.2,-34.15,3002),
(151.2333,-34.1167,3008),
(151.2667,-34.0833,3012),
(151.3,-34.05,3016),
(151.3333,-34.0167,3021),
(151.3667,-33.9833,3023),
(151.3833,-33.95,3027),
(151.4,-33.85,3031),
(151.4,-33.9,3034),
(151.4167,-33.8,3037),
(151.4333,-33.75,3041),
(151.45,-33.7167,3046),
(151.4833,-33.6833,3051),
(151.5167,-33.65,3054),
(151.55,-33.6167,3058),
(151.5667,-33.5833,3060),
(151.5833,-33.55,3063),
(151.6167,-33.5167,3070),
(151.65,-33.4833,3074),
(151.6833,-33.45,3077),
(151.7333,-33.35,3084),
(151.7333,-33.4,3087),
(151.75,-33.3167,3089),
(151.7667,-33.2667,3091),
(151.7833,-33.2,3095),
(151.8,-33.1667,3099),
(151.8333,-33.1,3109),
(151.8667,-33.0667,3116),
(151.9,-33.0333,3120),
(151.9333,-33,3125),
(151.9833,-32.9667,3130),
(152.0333,-32.9333,3137),
(152.1,-32.9,3145),
(152.15,-32.8667,3151),
(152.2,-32.8333,3158),
(152.25,-32.8,3164),
(152.2833,-32.7667,3168),
(152.3333,-32.7167,3177),
(152.3667,-32.7,3181),
(152.4,-32.6667,3183),
(152.4333,-32.65,3187),
(152.4833,-32.6167,3193),
(152.5167,-32.5833,3198),
(152.55,-32.55,3202)]
expected = [('longitude','latitude','index'),
(150.0833,-37.5,'2758'),
(150.1,-37.4667,'2765'),
(150.1167,-37.3833,'2769'),
(150.15,-37.35,'2795'),
(150.1667,-37.3,'2811'),
(150.1667,-37.25,'2808'),
(150.1833,-37.2167,'2827'),
(150.2,-37.2,'2839'),
(150.2,-37.1667,'2837'),
(150.2,-37.1333,'2835'),
(150.1833,-37.1,'2824'),
(150.1833,-37.05,'2821'),
(150.1667,-37.0167,'2807'),
(150.1667,-36.9667,'2804'),
(150.15,-36.9167,'2793'),
(150.15,-36.8667,'2790'),
(150.15,-36.8167,'2787'),
(150.1333,-36.7667,'2774'),
(150.1333,-36.7167,'2771'),
(150.15,-36.6833,'2783'),
(150.15,-36.6333,'2780'),
(150.15,-36.5833,'2777'),
(150.1667,-36.55,'2799'),
(150.1667,-36.5,'2796'),
(150.1833,-36.45,'2815'),
(150.2,-36.4,'2831'),
(150.2167,-36.3667,'2841'),
(150.25,-36.3333,'2862'),
(150.2667,-36.3,'2868'),
(150.2667,-36.25,'2865'),
(150.25,-36.2167,'2859'),
(150.25,-36.1667,'2856'),
(150.2333,-36.1167,'2847'),
(150.2333,-36.0667,'2844'),
(150.25,-36.0167,'2852'),
(150.3,-35.8833,'2870'),
(150.35,-35.75,'2872'),
(150.4333,-35.6333,'2873'),
(150.5,-35.5,'2875'),
(150.5667,-35.4,'2878'),
(150.6,-35.3667,'2882'),
(150.6333,-35.3333,'2889'),
(150.6667,-35.3,'2893'),
(150.7,-35.2667,'2898'),
(150.75,-35.2333,'2903'),
(150.8,-35.1833,'2907'),
(150.8333,-35.1333,'2913'),
(150.8667,-35.1,'2918'),
(150.9,-35.0667,'2923'),
(150.9333,-35.0167,'2927'),
(150.95,-34.9833,'2938'),
(150.9667,-34.95,'2956'),
(150.9667,-34.9,'2953'),
(150.9667,-34.85,'2951'),
(150.9667,-34.8,'2948'),
(150.9667,-34.75,'2947'),
(150.9667,-34.7,'2944'),
(150.9667,-34.6667,'2942'),
(150.9667,-34.6333,'2940'),
(150.9833,-34.5833,'2958'),
(151.0,-34.55,'2962'),
(151.0167,-34.5167,'2965'),
(151.0333,-34.5,'2968'),
(151.05,-34.4667,'2971'),
(151.0667,-34.4333,'2974'),
(151.0833,-34.4,'2977'),
(151.1,-34.35,'2980'),
(151.1167,-34.3167,'2984'),
(151.1333,-34.2833,'2988'),
(151.15,-34.2333,'2991'),
(151.1667,-34.1833,'2995'),
(151.2,-34.15,'3002'),
(151.2333,-34.1167,'3008'),
(151.2667,-34.0833,'3012'),
(151.3,-34.05,'3016'),
(151.3333,-34.0167,'3021'),
(151.3667,-33.9833,'3023'),
(151.3833,-33.95,'3027'),
(151.4,-33.9,'3034'),
(151.4,-33.85,'3031'),
(151.4167,-33.8,'3037'),
(151.4333,-33.75,'3041'),
(151.45,-33.7167,'3046'),
(151.4833,-33.6833,'3051'),
(151.5167,-33.65,'3054'),
(151.55,-33.6167,'3058'),
(151.5667,-33.5833,'3060'),
(151.5833,-33.55,'3063'),
(151.6167,-33.5167,'3070'),
(151.65,-33.4833,'3074'),
(151.6833,-33.45,'3077'),
(151.7333,-33.4,'3087'),
(151.7333,-33.35,'3084'),
(151.75,-33.3167,'3089'),
(151.7667,-33.2667,'3091'),
(151.7833,-33.2,'3095'),
(151.8,-33.1667,'3099'),
(151.8333,-33.1,'3109'),
(151.8667,-33.0667,'3116'),
(151.9,-33.0333,'3120'),
(151.9333,-33.0,'3125'),
(151.9833,-32.9667,'3130'),
(152.0333,-32.9333,'3137'),
(152.1,-32.9,'3145'),
(152.15,-32.8667,'3151'),
(152.2,-32.8333,'3158'),
(152.25,-32.8,'3164'),
(152.2833,-32.7667,'3168'),
(152.3333,-32.7167,'3177'),
(152.3667,-32.7,'3181'),
(152.4,-32.6667,'3183'),
(152.4333,-32.65,'3187'),
(152.4833,-32.6167,'3193'),
(152.5167,-32.5833,'3198'),
(152.55,-32.55,'3202')]
# put test data into a file
fd = open(infile, 'wb')
w = csv.writer(fd)
for d in data:
w.writerow(d)
fd.close()
# call routine, put sorted points into output file
ob.order_boundary(infile, outfile)
# get sorted data into memory
fd = open(outfile, 'r')
data_list = []
for data in csv.reader(fd):
try:
data[0] = float(data[0])
except:
pass
try:
data[1] = float(data[1])
except:
pass
data_list.append(tuple(data))
fd.close()
# check same as expected
self.assertTrue(data_list == expected)
# clean up
try:
os.remove(infile)
except:
pass
try:
os.remove(outfile)
except:
pass
