class TestGaussianClass(unittest.TestCase): def setUp(self): self.gaussian = Gaussian(25, 2) def test_initialization(self): self.assertEqual(self.gaussian.mean, 25, "incorrect mean") self.assertEqual(self.gaussian.stdev, 2, "incorrect standard deviation") def test_pdf(self): self.assertEqual( round(self.gaussian.pdf(25), 5), 0.19947, "pdf function does not give expected result", ) def test_meancalculation(self): self.gaussian.read_data_file("numbers.txt", True) self.assertEqual( self.gaussian.calculate_mean(), sum(self.gaussian.data) / float(len(self.gaussian.data)), "calculated mean not as expected", ) def test_stdevcalculation(self): self.gaussian.read_data_file("numbers.txt", True) self.assertEqual(round(self.gaussian.stdev, 2), 92.87, "sample standard deviation incorrect") self.gaussian.read_data_file("numbers.txt", False) self.assertEqual( round(self.gaussian.stdev, 2), 88.55, "population standard deviation incorrect", )
class TestGaussianClass(unittest.TestCase): def setUp(self): self.gaussian = Gaussian(25, 2) def test_initialization(self): self.assertEqual(self.gaussian.mean, 25, 'incorrect mean') self.assertEqual(self.gaussian.stdev, 2, 'incorrect standard deviation') def test_pdf(self): self.assertEqual(round(self.gaussian.pdf(25), 5), 0.19947,\ 'pdf function does not give expected result') def test_meancalculation(self): self.gaussian.read_data_file('numbers.txt', True) self.assertEqual(self.gaussian.calculate_mean(),\ sum(self.gaussian.data) / float(len(self.gaussian.data)), 'calculated mean not as expected') def test_stdevcalculation(self): self.gaussian.read_data_file('numbers.txt', True) self.assertEqual(round(self.gaussian.stdev, 2), 92.87, 'sample standard deviation incorrect') self.gaussian.read_data_file('numbers.txt', False) self.assertEqual(round(self.gaussian.stdev, 2), 92.87, 'population standard deviation incorrect')
class TestGaussianClass(unittest.TestCase): def setUp(self): self.gaussian = Gaussian(25, 2) self.gaussian.read_data_file('numbers.txt') def test_initialization(self): self.assertEqual(self.gaussian.mean, 25, 'incorrect mean') self.assertEqual(self.gaussian.stdev, 2, 'incorrect standard deviation') def test_readdata(self): self.assertEqual(self.gaussian.data,\ [1, 3, 99, 100, 120, 32, 330, 23, 76, 44, 31], 'data not read in correctly') def test_meancalculation(self): self.assertEqual(self.gaussian.calculate_mean(),\ sum(self.gaussian.data) / float(len(self.gaussian.data)), 'calculated mean not as expected') def test_stdevcalculation(self): self.assertEqual(round(self.gaussian.calculate_stdev(), 2), 92.87, 'sample standard deviation incorrect') self.assertEqual(round(self.gaussian.calculate_stdev(0), 2), 88.55, 'population standard deviation incorrect') def test_pdf(self): self.assertEqual(round(self.gaussian.pdf(25), 5), 0.19947,\ 'pdf function does not give expected result') self.gaussian.calculate_mean() self.gaussian.calculate_stdev() self.assertEqual(round(self.gaussian.pdf(75), 5), 0.00429,\ 'pdf function after calculating mean and stdev does not give expected result') def test_add(self): gaussian_one = Gaussian(25, 3) gaussian_two = Gaussian(30, 4) gaussian_sum = gaussian_one + gaussian_two self.assertEqual(gaussian_sum.mean, 55) self.assertEqual(gaussian_sum.stdev, 5)
class TestGaussianClass(unittest.TestCase): def setUp(self): self.gaussian = Gaussian(25, 2) def test_initialization(self): self.assertEqual(self.gaussian.mean, 25, 'incorrect mean') self.assertEqual(self.gaussian.stdev, 2, 'incorrect standard deviation') def test_pdf(self): self.assertEqual(round(self.gaussian.pdf(25), 5), 0.19947,\ 'pdf function does not give expected result') def test_meancalculation(self): self.gaussian.read_data_file('./Gaussian OOP Project/numbers.txt', True) self.assertEqual(self.gaussian.calculate_mean(),\ sum(self.gaussian.data) / float(len(self.gaussian.data)), 'calculated mean not as expected') def test_stdevcalculation(self): self.gaussian.read_data_file('./Gaussian OOP Project/numbers.txt', True) self.assertEqual(round(self.gaussian.stdev, 2), 92.87, 'sample standard deviation incorrect') self.gaussian.read_data_file('./Gaussian OOP Project/numbers.txt', False) self.assertEqual(round(self.gaussian.stdev, 2), 88.55, 'population standard deviation incorrect') def test_add(self): gaussian_one = Gaussian(25, 3) gaussian_two = Gaussian(30, 4) gaussian_sum = gaussian_one + gaussian_two self.assertEqual(gaussian_sum.mean, 55) self.assertEqual(gaussian_sum.stdev, 5) def test_repr(self): gaussian_one = Gaussian(25, 3) self.assertEqual(str(gaussian_one), "mean 25, standard deviation 3")
gaussian_two = Gaussian(10, 4) gaussian_three = gaussian_one + gaussian_two print(gaussian_one.mean, gaussian_one.stdev) print(gaussian_two.mean, gaussian_two.stdev) print(gaussian_three.mean, gaussian_three.stdev) print(gaussian_three) #gaussian_three need print command gaussian_four = Gaussian() gaussian_four.read_data_file('numbers.txt') gaussian_four.calculate_mean() gaussian_four.calculate_stdev() gaussian_four.plot_histogram_pdf() gaussian_four.plot_histogram() gaussian_five = Gaussian(10, 5) gaussian_five.plot_histogram() print(gaussian_five) gaussian_six = Gaussian() gaussian_six.read_data_file('numbers2.txt') gaussian_six.calculate_mean() gaussian_six.calculate_stdev()