def test_squared(self):
test_data = CSVReader(
'/Tests/Data_Calculator/Unit Test Square.csv').data
for row in test_data:
self.assertEqual(self.calculator.squared(row['Value 1']),
int(row['Result']))
self.assertEqual(self.calculator.result, int(row['Result']))
test_data.clear()
def test_mean(self):
test_data = CSVReader('/Tests/Data_Statistics/Mean_Data.csv').data
for row in test_data:
self.assertEqual(
self.Statistics.mean(row['Value1'], row['Value2'],
row['Value3'], row['Value4'],
row['Value5']), float(row['Mean']))
self.assertEqual(self.Statistics.result, float(row['Mean']))
test_data.clear()
def test_multiplication(self):
test_data = CSVReader(
'/Tests/Data_Calculator/Unit Test Multiplication.csv').data
for row in test_data:
self.assertEqual(
self.calculator.multiply(row['Value 1'], row['Value 2']),
int(row['Result']))
self.assertEqual(self.calculator.result, int(row['Result']))
test_data.clear()
def test_root(self):
test_data = CSVReader(
'/Tests/Data_Calculator/Unit Test Square Root.csv').data
for row in test_data:
self.assertAlmostEqual(self.calculator.root(row['Value 1']),
round(float(row['Result']), 9))
self.assertAlmostEqual(round(float(row['Result']), 9),
round(self.calculator.result, 9))
test_data.clear()
def test_conf_int(self):
test_data = CSVReader('/Tests/Data_PopSampling/ConfInt_Data.csv').data
for row in test_data:
self.assertEqual(
self.PopSampling.conf_int(row['a'], row['b'], row['c'],
row['d'], row['e']),
float(row['ConfInt']))
self.assertEqual(self.PopSampling.result, float(row['ConfInt']))
test_data.clear()
def test_margin(self):
test_data = CSVReader('/Tests/Data_PopSampling/Margin_Data.csv').data
for row in test_data:
self.assertEqual(
self.PopSampling.margin(row['Value1'], row['Value2'],
row['Value3'], row['Value4'],
row['Value5']), float(row['Error']))
self.assertEqual(self.PopSampling.result, float(row['Error']))
test_data.clear()
def test_cochran(self):
test_data = CSVReader('/Tests/Data_PopSampling/Cochran_Data.csv').data
for row in test_data:
#pprint(self.PopSampling.cochran(row['Z'], row['p'], row['q'], row['e']))
self.assertEqual(
self.PopSampling.cochran(row['Z'], row['p'], row['q'],
row['e']), int(row['Sample']))
self.assertEqual(self.PopSampling.result, int(row['Sample']))
test_data.clear()
def test_mode(self):
test_data = CSVReader('/Tests/Data_Statistics/Mode_Data.csv').data
#pprint(test_data)
for row in test_data:
self.assertEqual(
self.Statistics.mode(row['Value1'], row['Value2'],
row['Value3'], row['Value4'],
row['Value5']), int(row['Mode']))
self.assertEqual(self.Statistics.result, int(row["Mode"]))
test_data.clear()
def test_division(self):
test_data = CSVReader(
'/Tests/Data_Calculator/Unit Test Division.csv').data
for row in test_data:
self.assertAlmostEqual(
float(row['Result']),
self.calculator.divide(row['Value 1'], row['Value 2']))
self.assertAlmostEqual(float(row['Result']),
round(self.calculator.result, 9))
test_data.clear()
def test_find_sample_size(self):
test_data = CSVReader(
'/Tests/Data_PopSampling/FindSample_Data.csv').data
for row in test_data:
self.assertEqual(
self.PopSampling.find_sample_size(row['P'], row['q'],
row['za2'], row['e']),
int(row['Sample']))
self.assertEqual(self.PopSampling.result, int(row['Sample']))
test_data.clear()
def test_z_score(self):
test_data = CSVReader('/Tests/Data_Statistics/ZScore_Data.csv').data
#pprint(test_data)
for row in test_data:
self.assertEqual(
self.Statistics.z_score(row['Score'], row['Mean'],
row['StDev']),
round(float(row['Z-Score']), 2))
self.assertEqual(self.Statistics.result,
round(float(row['Z-Score']), 2))
test_data.clear()
def test_variance(self):
test_data = CSVReader('/Tests/Data_Statistics/Variance_Data.csv').data
#pprint(test_data)
for row in test_data:
self.assertEqual(
self.Statistics.variance(row['Value1'], row['Value2'],
row['Value3'], row['Value4'],
row['Value5']),
round(float(row['Variance']), 2))
self.assertEqual(self.Statistics.result,
round(float(row['Variance']), 2))
test_data.clear()
def test_standard_deviation(self):
test_data = CSVReader(
'/Tests/Data_Statistics/Standard_Deviation_Data.csv').data
#pprint(test_data)
for row in test_data:
self.assertEqual(
self.Statistics.standard_deviation(row['Value1'],
row['Value2'],
row['Value3'],
row['Value4'],
row['Value5']),
round(float(row['StDev']), 2))
self.assertEqual(self.Statistics.result,
round(float(row['StDev']), 2))
test_data.clear()
def test_multiply_method(self):
sub_data = CSVReader('csv/Unit Test Multiplication.csv')
for row in sub_data.data:
self.assertEqual(
self.calculator.multiply(int(row['Value 2']),
int(row['Value 1'])),
int(row['Result']))
def test_subtract_method(self):
sub_data = CSVReader('csv/Unit Test Subtraction.csv')
for row in sub_data.data:
self.assertEqual(
self.calculator.subtract(int(row['Value 2']),
int(row['Value 1'])),
int(row['Result']))
def test_divide_method(self):
sub_data = CSVReader('csv/Unit Test Division.csv')
for row in sub_data.data:
self.assertEqual(
round(
self.calculator.divide(float(row['Value 2']),
float(row['Value 1'])), 9),
float(row['Result']))
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.csv_reader = CSVReader('addition.txt')
def test_return_data_as_objects(self):
people - self.csv_reader.return_data_as_objects('person')
self.asserIsInstance(people, list)
test_class = ClassFactory('person', self.csv_reader.data[0])
for person in people:
self.asserEqual(person.__name__, test_class.__name__)
def setUp(self) -> None:
self.csv_reader = CSVReader('addition.txt')
def test_sqrt_method(self):
sub_data = CSVReader('csv/Unit Test Square Root.csv')
for row in sub_data.data:
self.assertEqual(
round(self.calculator.square_root(float(row['Value 1'])), 8),
round(float(row['Result']), 8))
def test_square_method(self):
sub_data = CSVReader('csv/Unit Test Square.csv')
for row in sub_data.data:
self.assertEqual(self.calculator.square(int(row['Value 1'])),
int(row['Result']))
def test_add_method(self):
add_data = CSVReader('csv/Unit Test Addition.csv')
for row in add_data.data:
self.assertEqual(
self.calculator.add(int(row['Value 1']), int(row['Value 2'])),
int(row['Result']))
def setUp(self):
self.csv_reader = CSVReader('csv/Unit Test Addition.csv')