smythi93/Tests4Py | Build 30040549735 | src/tests4py/projects/resources/matplotlib/bug_25/unittests.py | Coveralls

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import unittest

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import matplotlib

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matplotlib.use('Agg')

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import numpy as np

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from matplotlib.collections import EventCollection

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class TestsFailing(unittest.TestCase):

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    def test_diversity_1(self):

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        arr = np.array([3.891, -1.492, -8.723, -1.056], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([3.891, -1.492, -8.723, -1.056], [round(float(v), 6) for v in arr])

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    def test_diversity_2(self):

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        arr = np.array([27.999, 40.781, -44.375, -18.22, 47.381], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([27.999, 40.781, -44.375, -18.22, 47.381], [round(float(v), 6) for v in arr])

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    def test_diversity_3(self):

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        arr = np.array([-22.317, 29.798, -9.315, -12.128, 18.41, 47.231], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-22.317, 29.798, -9.315, -12.128, 18.41, 47.231], [round(float(v), 6) for v in arr])

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    def test_diversity_4(self):

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        arr = np.array([43.461, -17.406, -0.796], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([43.461, -17.406, -0.796], [round(float(v), 6) for v in arr])

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    def test_diversity_5(self):

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        arr = np.array([-9.835, -35.005, -49.926, 1.727, 46.933, 23.972], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-9.835, -35.005, -49.926, 1.727, 46.933, 23.972], [round(float(v), 6) for v in arr])

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    def test_diversity_6(self):

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        arr = np.array([-45.397, -2.903, 9.853, -4.775], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-45.397, -2.903, 9.853, -4.775], [round(float(v), 6) for v in arr])

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    def test_diversity_7(self):

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        arr = np.array([2.302, 19.67, -14.372, -7.871, -3.261, 23.046], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([2.302, 19.67, -14.372, -7.871, -3.261, 23.046], [round(float(v), 6) for v in arr])

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    def test_diversity_8(self):

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        arr = np.array([-13.178, 31.327, -18.202, -12.734, -10.242, -41.97], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-13.178, 31.327, -18.202, -12.734, -10.242, -41.97], [round(float(v), 6) for v in arr])

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    def test_diversity_9(self):

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        arr = np.array([13.919, 32.382, -22.804, 41.061], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([13.919, 32.382, -22.804, 41.061], [round(float(v), 6) for v in arr])

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    def test_diversity_10(self):

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        arr = np.array([41.169, 7.544, -31.312, -18.972, 23.369, -15.734], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([41.169, 7.544, -31.312, -18.972, 23.369, -15.734], [round(float(v), 6) for v in arr])

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class TestsPassing(unittest.TestCase):

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    def test_diversity_1(self):

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        arr = np.array([-30.47, 21.856, 26.792], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-30.47, 21.856, 26.792], [round(float(v), 6) for v in arr])

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    def test_diversity_2(self):

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        arr = np.array([-39.069, -25.483, 23.942, 48.783], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-39.069, -25.483, 23.942, 48.783], [round(float(v), 6) for v in arr])

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    def test_diversity_3(self):

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        arr = np.array([-37.289, -1.248, 7.974, 34.921, 39.854], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-37.289, -1.248, 7.974, 34.921, 39.854], [round(float(v), 6) for v in arr])

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    def test_diversity_4(self):

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        arr = np.array([-43.712, -41.622, 20.774, 42.96], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-43.712, -41.622, 20.774, 42.96], [round(float(v), 6) for v in arr])

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    def test_diversity_5(self):

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        arr = np.array([-36.245, -35.893, -23.527, -8.224, 18.059, 30.458], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-36.245, -35.893, -23.527, -8.224, 18.059, 30.458], [round(float(v), 6) for v in arr])

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    def test_diversity_6(self):

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        arr = np.array([-39.613, -22.774, 4.819, 34.941], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-39.613, -22.774, 4.819, 34.941], [round(float(v), 6) for v in arr])

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    def test_diversity_7(self):

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        arr = np.array([-12.703, -9.201, 4.788, 17.582, 24.291], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-12.703, -9.201, 4.788, 17.582, 24.291], [round(float(v), 6) for v in arr])

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    def test_diversity_8(self):

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        arr = np.array([-36.711, -4.973, 8.812, 39.775, 43.551], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-36.711, -4.973, 8.812, 39.775, 43.551], [round(float(v), 6) for v in arr])

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    def test_diversity_9(self):

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        arr = np.array([-25.864, -13.859, -13.432, 27.179], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-25.864, -13.859, -13.432, 27.179], [round(float(v), 6) for v in arr])

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    def test_diversity_10(self):

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        arr = np.array([-46.172, 24.092, 37.958], dtype=float)

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        EventCollection(arr)

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        self.assertEqual([-46.172, 24.092, 37.958], [round(float(v), 6) for v in arr])

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smythi93 / Tests4Py / 30040549735

Source File
Press 'n' to go to next uncovered line, 'b' for previous

NEW 1	import unittest	×
NEW 2	import matplotlib	×
NEW 3	matplotlib.use('Agg')	×
NEW 4	import numpy as np	×
NEW 5	from matplotlib.collections import EventCollection	×
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NEW 7	class TestsFailing(unittest.TestCase):	×
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NEW 9	def test_diversity_1(self):	×
NEW 10	arr = np.array([3.891, -1.492, -8.723, -1.056], dtype=float)	×
NEW 11	EventCollection(arr)	×
NEW 12	self.assertEqual([3.891, -1.492, -8.723, -1.056], [round(float(v), 6) for v in arr])	×
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NEW 14	def test_diversity_2(self):	×
NEW 15	arr = np.array([27.999, 40.781, -44.375, -18.22, 47.381], dtype=float)	×
NEW 16	EventCollection(arr)	×
NEW 17	self.assertEqual([27.999, 40.781, -44.375, -18.22, 47.381], [round(float(v), 6) for v in arr])	×
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NEW 19	def test_diversity_3(self):	×
NEW 20	arr = np.array([-22.317, 29.798, -9.315, -12.128, 18.41, 47.231], dtype=float)	×
NEW 21	EventCollection(arr)	×
NEW 22	self.assertEqual([-22.317, 29.798, -9.315, -12.128, 18.41, 47.231], [round(float(v), 6) for v in arr])	×
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NEW 24	def test_diversity_4(self):	×
NEW 25	arr = np.array([43.461, -17.406, -0.796], dtype=float)	×
NEW 26	EventCollection(arr)	×
NEW 27	self.assertEqual([43.461, -17.406, -0.796], [round(float(v), 6) for v in arr])	×
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NEW 29	def test_diversity_5(self):	×
NEW 30	arr = np.array([-9.835, -35.005, -49.926, 1.727, 46.933, 23.972], dtype=float)	×
NEW 31	EventCollection(arr)	×
NEW 32	self.assertEqual([-9.835, -35.005, -49.926, 1.727, 46.933, 23.972], [round(float(v), 6) for v in arr])	×
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NEW 34	def test_diversity_6(self):	×
NEW 35	arr = np.array([-45.397, -2.903, 9.853, -4.775], dtype=float)	×
NEW 36	EventCollection(arr)	×
NEW 37	self.assertEqual([-45.397, -2.903, 9.853, -4.775], [round(float(v), 6) for v in arr])	×
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NEW 39	def test_diversity_7(self):	×
NEW 40	arr = np.array([2.302, 19.67, -14.372, -7.871, -3.261, 23.046], dtype=float)	×
NEW 41	EventCollection(arr)	×
NEW 42	self.assertEqual([2.302, 19.67, -14.372, -7.871, -3.261, 23.046], [round(float(v), 6) for v in arr])	×
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NEW 44	def test_diversity_8(self):	×
NEW 45	arr = np.array([-13.178, 31.327, -18.202, -12.734, -10.242, -41.97], dtype=float)	×
NEW 46	EventCollection(arr)	×
NEW 47	self.assertEqual([-13.178, 31.327, -18.202, -12.734, -10.242, -41.97], [round(float(v), 6) for v in arr])	×
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NEW 49	def test_diversity_9(self):	×
NEW 50	arr = np.array([13.919, 32.382, -22.804, 41.061], dtype=float)	×
NEW 51	EventCollection(arr)	×
NEW 52	self.assertEqual([13.919, 32.382, -22.804, 41.061], [round(float(v), 6) for v in arr])	×
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NEW 54	def test_diversity_10(self):	×
NEW 55	arr = np.array([41.169, 7.544, -31.312, -18.972, 23.369, -15.734], dtype=float)	×
NEW 56	EventCollection(arr)	×
NEW 57	self.assertEqual([41.169, 7.544, -31.312, -18.972, 23.369, -15.734], [round(float(v), 6) for v in arr])	×
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NEW 59	class TestsPassing(unittest.TestCase):	×
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NEW 61	def test_diversity_1(self):	×
NEW 62	arr = np.array([-30.47, 21.856, 26.792], dtype=float)	×
NEW 63	EventCollection(arr)	×
NEW 64	self.assertEqual([-30.47, 21.856, 26.792], [round(float(v), 6) for v in arr])	×
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NEW 66	def test_diversity_2(self):	×
NEW 67	arr = np.array([-39.069, -25.483, 23.942, 48.783], dtype=float)	×
NEW 68	EventCollection(arr)	×
NEW 69	self.assertEqual([-39.069, -25.483, 23.942, 48.783], [round(float(v), 6) for v in arr])	×
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NEW 71	def test_diversity_3(self):	×
NEW 72	arr = np.array([-37.289, -1.248, 7.974, 34.921, 39.854], dtype=float)	×
NEW 73	EventCollection(arr)	×
NEW 74	self.assertEqual([-37.289, -1.248, 7.974, 34.921, 39.854], [round(float(v), 6) for v in arr])	×
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NEW 76	def test_diversity_4(self):	×
NEW 77	arr = np.array([-43.712, -41.622, 20.774, 42.96], dtype=float)	×
NEW 78	EventCollection(arr)	×
NEW 79	self.assertEqual([-43.712, -41.622, 20.774, 42.96], [round(float(v), 6) for v in arr])	×
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NEW 81	def test_diversity_5(self):	×
NEW 82	arr = np.array([-36.245, -35.893, -23.527, -8.224, 18.059, 30.458], dtype=float)	×
NEW 83	EventCollection(arr)	×
NEW 84	self.assertEqual([-36.245, -35.893, -23.527, -8.224, 18.059, 30.458], [round(float(v), 6) for v in arr])	×
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NEW 86	def test_diversity_6(self):	×
NEW 87	arr = np.array([-39.613, -22.774, 4.819, 34.941], dtype=float)	×
NEW 88	EventCollection(arr)	×
NEW 89	self.assertEqual([-39.613, -22.774, 4.819, 34.941], [round(float(v), 6) for v in arr])	×
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NEW 91	def test_diversity_7(self):	×
NEW 92	arr = np.array([-12.703, -9.201, 4.788, 17.582, 24.291], dtype=float)	×
NEW 93	EventCollection(arr)	×
NEW 94	self.assertEqual([-12.703, -9.201, 4.788, 17.582, 24.291], [round(float(v), 6) for v in arr])	×
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NEW 96	def test_diversity_8(self):	×
NEW 97	arr = np.array([-36.711, -4.973, 8.812, 39.775, 43.551], dtype=float)	×
NEW 98	EventCollection(arr)	×
NEW 99	self.assertEqual([-36.711, -4.973, 8.812, 39.775, 43.551], [round(float(v), 6) for v in arr])	×
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NEW 101	def test_diversity_9(self):	×
NEW 102	arr = np.array([-25.864, -13.859, -13.432, 27.179], dtype=float)	×
NEW 103	EventCollection(arr)	×
NEW 104	self.assertEqual([-25.864, -13.859, -13.432, 27.179], [round(float(v), 6) for v in arr])	×
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NEW 106	def test_diversity_10(self):	×
NEW 107	arr = np.array([-46.172, 24.092, 37.958], dtype=float)	×
NEW 108	EventCollection(arr)	×
NEW 109	self.assertEqual([-46.172, 24.092, 37.958], [round(float(v), 6) for v in arr])	×

smythi93 / Tests4Py / 30040549735

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Source File
Press 'n' to go to next uncovered line, 'b' for previous