How to use tests_loaded method in Slash

Best Python code snippet using slash

gaussian_unit.py

Source:gaussian_unit.py

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)...

test.py

Source:test.py

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)...

testing_code.py

Source:testing_code.py

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

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