How to use tests_loaded method in Slash

Best Python code snippet using slash

gaussian_unit.py

Source:gaussian_unit.py Github

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1import unittest2class TestGaussianClass(unittest.TestCase):3 def setUp(self):4 self.gaussian = Gaussian(25, 2)5 def test_initialization(self): 6 self.assertEqual(self.gaussian.mean, 25, 'incorrect mean')7 self.assertEqual(self.gaussian.stdev, 2, 'incorrect standard deviation')8 def test_pdf(self):9 self.assertEqual(round(self.gaussian.pdf(25), 5), 0.19947,\10 'pdf function does not give expected result') 11 def test_meancalculation(self):12 self.gaussian.read_data_file('numbers.txt', True)13 self.assertEqual(self.gaussian.calculate_mean(),\14 sum(self.gaussian.data) / float(len(self.gaussian.data)), 'calculated mean not as expected')15 def test_stdevcalculation(self):16 self.gaussian.read_data_file('numbers.txt', True)17 self.assertEqual(round(self.gaussian.stdev, 2), 92.87, 'sample standard deviation incorrect')18 self.gaussian.read_data_file('numbers.txt', False)19 self.assertEqual(round(self.gaussian.stdev, 2), 88.55, 'population standard deviation incorrect')20 def test_add(self):21 gaussian_one = Gaussian(25, 3)22 gaussian_two = Gaussian(30, 4)23 gaussian_sum = gaussian_one + gaussian_two24 25 self.assertEqual(gaussian_sum.mean, 55)26 self.assertEqual(gaussian_sum.stdev, 5)27 def test_repr(self):28 gaussian_one = Gaussian(25, 3)29 30 self.assertEqual(str(gaussian_one), "mean 25, standard deviation 3")31 32tests = TestGaussianClass()33tests_loaded = unittest.TestLoader().loadTestsFromModule(tests)...

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test.py

Source:test.py Github

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1# Unit tests to check your solution2import unittest3class TestGaussianClass(unittest.TestCase):4 def setUp(self):5 self.gaussian = Gaussian(25, 2)6 def test_initialization(self): 7 self.assertEqual(self.gaussian.mean, 25, 'incorrect mean')8 self.assertEqual(self.gaussian.stdev, 2, 'incorrect standard deviation')9 def test_pdf(self):10 self.assertEqual(round(self.gaussian.pdf(25), 5), 0.19947,\11 'pdf function does not give expected result') 12 def test_meancalculation(self):13 self.gaussian.read_data_file('numbers.txt', True)14 self.assertEqual(self.gaussian.calculate_mean(),\15 sum(self.gaussian.data) / float(len(self.gaussian.data)), 'calculated mean not as expected')16 def test_stdevcalculation(self):17 self.gaussian.read_data_file('numbers.txt', True)18 self.assertEqual(round(self.gaussian.stdev, 2), 92.87, 'sample standard deviation incorrect')19 self.gaussian.read_data_file('numbers.txt', False)20 self.assertEqual(round(self.gaussian.stdev, 2), 88.55, 'population standard deviation incorrect')21 22tests = TestGaussianClass()23tests_loaded = unittest.TestLoader().loadTestsFromModule(tests)...

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testing_code.py

Source:testing_code.py Github

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1import unittest2from test import TestGaussianClass3tests = TestGaussianClass()4tests_loaded = unittest.TestLoader().loadTestsFromModule(tests)...

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