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()