smythi93/Tests4Py | Build 30040549735 | src/tests4py/projects/resources/matplotlib/bug_6/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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import matplotlib.pyplot as plt

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class TestsFailing(unittest.TestCase):

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    def test_diversity_1(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(3), range(3), c=[[0.211, 0.539, 0.367]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_2(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(3), range(3), c=[[0.178, 0.812, 0.077]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_3(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(3), range(3), c=[[0.215, 0.763, 0.728]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_4(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.392, 0.428, 0.255, 0.054]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_5(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.062, 0.632, 0.654, 0.309]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_6(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(3), range(3), c=[[0.888, 0.444, 0.17]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_7(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(3), range(3), c=[[0.48, 0.713, 0.839]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_8(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.131, 0.221, 0.803, 0.204]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_9(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.202, 0.785, 0.79, 0.613]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_10(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.347, 0.276, 0.327, 0.556]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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class TestsPassing(unittest.TestCase):

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    def test_diversity_1(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(8), range(8), c=[[0.342, 0.313, 0.452]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_2(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(6), range(6), c=[[0.542, 0.665, 0.535, 0.698]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_3(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(8), range(8), c=[[0.438, 0.652, 0.542]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_4(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(6), range(6), c=[[0.548, 0.487, 0.108, 0.4]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_5(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(6), range(6), c=[[0.912, 0.623, 0.327, 0.935]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_6(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(6), range(6), c=[[0.504, 0.417, 0.696, 0.377]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_7(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.318, 0.321, 0.228]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_8(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(2), range(2), c=[[0.47, 0.921, 0.571]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_9(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(4), range(4), c=[[0.633, 0.149, 0.177]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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    def test_diversity_10(self):

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        fig, ax = plt.subplots()

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        coll = ax.scatter(np.ones(8), range(8), c=[[0.188, 0.927, 0.612]])

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        self.assertEqual(True, coll.get_array() is None)

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        plt.close(fig)

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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	import matplotlib.pyplot as plt	×
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NEW 7	class TestsFailing(unittest.TestCase):	×
8
NEW 9	def test_diversity_1(self):	×
NEW 10	fig, ax = plt.subplots()	×
NEW 11	coll = ax.scatter(np.ones(3), range(3), c=[[0.211, 0.539, 0.367]])	×
NEW 12	self.assertEqual(True, coll.get_array() is None)	×
NEW 13	plt.close(fig)	×
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NEW 15	def test_diversity_2(self):	×
NEW 16	fig, ax = plt.subplots()	×
NEW 17	coll = ax.scatter(np.ones(3), range(3), c=[[0.178, 0.812, 0.077]])	×
NEW 18	self.assertEqual(True, coll.get_array() is None)	×
NEW 19	plt.close(fig)	×
20
NEW 21	def test_diversity_3(self):	×
NEW 22	fig, ax = plt.subplots()	×
NEW 23	coll = ax.scatter(np.ones(3), range(3), c=[[0.215, 0.763, 0.728]])	×
NEW 24	self.assertEqual(True, coll.get_array() is None)	×
NEW 25	plt.close(fig)	×
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NEW 27	def test_diversity_4(self):	×
NEW 28	fig, ax = plt.subplots()	×
NEW 29	coll = ax.scatter(np.ones(4), range(4), c=[[0.392, 0.428, 0.255, 0.054]])	×
NEW 30	self.assertEqual(True, coll.get_array() is None)	×
NEW 31	plt.close(fig)	×
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NEW 33	def test_diversity_5(self):	×
NEW 34	fig, ax = plt.subplots()	×
NEW 35	coll = ax.scatter(np.ones(4), range(4), c=[[0.062, 0.632, 0.654, 0.309]])	×
NEW 36	self.assertEqual(True, coll.get_array() is None)	×
NEW 37	plt.close(fig)	×
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NEW 39	def test_diversity_6(self):	×
NEW 40	fig, ax = plt.subplots()	×
NEW 41	coll = ax.scatter(np.ones(3), range(3), c=[[0.888, 0.444, 0.17]])	×
NEW 42	self.assertEqual(True, coll.get_array() is None)	×
NEW 43	plt.close(fig)	×
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NEW 45	def test_diversity_7(self):	×
NEW 46	fig, ax = plt.subplots()	×
NEW 47	coll = ax.scatter(np.ones(3), range(3), c=[[0.48, 0.713, 0.839]])	×
NEW 48	self.assertEqual(True, coll.get_array() is None)	×
NEW 49	plt.close(fig)	×
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NEW 51	def test_diversity_8(self):	×
NEW 52	fig, ax = plt.subplots()	×
NEW 53	coll = ax.scatter(np.ones(4), range(4), c=[[0.131, 0.221, 0.803, 0.204]])	×
NEW 54	self.assertEqual(True, coll.get_array() is None)	×
NEW 55	plt.close(fig)	×
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NEW 57	def test_diversity_9(self):	×
NEW 58	fig, ax = plt.subplots()	×
NEW 59	coll = ax.scatter(np.ones(4), range(4), c=[[0.202, 0.785, 0.79, 0.613]])	×
NEW 60	self.assertEqual(True, coll.get_array() is None)	×
NEW 61	plt.close(fig)	×
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NEW 63	def test_diversity_10(self):	×
NEW 64	fig, ax = plt.subplots()	×
NEW 65	coll = ax.scatter(np.ones(4), range(4), c=[[0.347, 0.276, 0.327, 0.556]])	×
NEW 66	self.assertEqual(True, coll.get_array() is None)	×
NEW 67	plt.close(fig)	×
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NEW 69	class TestsPassing(unittest.TestCase):	×
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NEW 71	def test_diversity_1(self):	×
NEW 72	fig, ax = plt.subplots()	×
NEW 73	coll = ax.scatter(np.ones(8), range(8), c=[[0.342, 0.313, 0.452]])	×
NEW 74	self.assertEqual(True, coll.get_array() is None)	×
NEW 75	plt.close(fig)	×
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NEW 77	def test_diversity_2(self):	×
NEW 78	fig, ax = plt.subplots()	×
NEW 79	coll = ax.scatter(np.ones(6), range(6), c=[[0.542, 0.665, 0.535, 0.698]])	×
NEW 80	self.assertEqual(True, coll.get_array() is None)	×
NEW 81	plt.close(fig)	×
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NEW 83	def test_diversity_3(self):	×
NEW 84	fig, ax = plt.subplots()	×
NEW 85	coll = ax.scatter(np.ones(8), range(8), c=[[0.438, 0.652, 0.542]])	×
NEW 86	self.assertEqual(True, coll.get_array() is None)	×
NEW 87	plt.close(fig)	×
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NEW 89	def test_diversity_4(self):	×
NEW 90	fig, ax = plt.subplots()	×
NEW 91	coll = ax.scatter(np.ones(6), range(6), c=[[0.548, 0.487, 0.108, 0.4]])	×
NEW 92	self.assertEqual(True, coll.get_array() is None)	×
NEW 93	plt.close(fig)	×
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NEW 95	def test_diversity_5(self):	×
NEW 96	fig, ax = plt.subplots()	×
NEW 97	coll = ax.scatter(np.ones(6), range(6), c=[[0.912, 0.623, 0.327, 0.935]])	×
NEW 98	self.assertEqual(True, coll.get_array() is None)	×
NEW 99	plt.close(fig)	×
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NEW 101	def test_diversity_6(self):	×
NEW 102	fig, ax = plt.subplots()	×
NEW 103	coll = ax.scatter(np.ones(6), range(6), c=[[0.504, 0.417, 0.696, 0.377]])	×
NEW 104	self.assertEqual(True, coll.get_array() is None)	×
NEW 105	plt.close(fig)	×
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NEW 107	def test_diversity_7(self):	×
NEW 108	fig, ax = plt.subplots()	×
NEW 109	coll = ax.scatter(np.ones(4), range(4), c=[[0.318, 0.321, 0.228]])	×
NEW 110	self.assertEqual(True, coll.get_array() is None)	×
NEW 111	plt.close(fig)	×
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NEW 113	def test_diversity_8(self):	×
NEW 114	fig, ax = plt.subplots()	×
NEW 115	coll = ax.scatter(np.ones(2), range(2), c=[[0.47, 0.921, 0.571]])	×
NEW 116	self.assertEqual(True, coll.get_array() is None)	×
NEW 117	plt.close(fig)	×
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NEW 119	def test_diversity_9(self):	×
NEW 120	fig, ax = plt.subplots()	×
NEW 121	coll = ax.scatter(np.ones(4), range(4), c=[[0.633, 0.149, 0.177]])	×
NEW 122	self.assertEqual(True, coll.get_array() is None)	×
NEW 123	plt.close(fig)	×
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NEW 125	def test_diversity_10(self):	×
NEW 126	fig, ax = plt.subplots()	×
NEW 127	coll = ax.scatter(np.ones(8), range(8), c=[[0.188, 0.927, 0.612]])	×
NEW 128	self.assertEqual(True, coll.get_array() is None)	×
NEW 129	plt.close(fig)	×

smythi93 / Tests4Py / 30040549735

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