def test_subtract_method_calculator(self):
print(' ')
print('Testing Subtraction')
test_data = CsvReader('./Data/Unit Test Subtraction.csv').data
for row in test_data:
x = row['Value 1']
y = row['Value 2']
result = int(row['Result'])
self.assertEqual(self.calculator.subtract(x, y), result)
self.assertEqual(self.calculator.result, result)
print("Successful Testing")
def test_population_correlation_coefficient(self): # complete
print(' ')
print('Testing Population Correlation Coefficient')
try:
test_data = CsvReader('Data/StatData.csv').data
test_data2 = CsvReader('Data/data2.csv').data
ans = CsvReader('Data/StatDataAnswers.csv').data
except:
print('File not found, Please input valid file.')
dataset = []
for row in test_data:
y = int(row['Value 1'])
dataset.append(y)
dataset2 = []
for row in test_data2:
k = float(row['Result'])
dataset2.append(k)
for row in ans:
expect_result = float(row['Pop_corrcoef'])
self.assertEqual(self.statobj.population_correlation_coefficient(dataset, dataset2), expect_result)
self.assertEqual(self.statobj.result, expect_result)
print('Successful Testing!')
def test_square_method_calculator(self): # Testing of the square function
print(' ')
print('Testing Squares')
try:
test_data = CsvReader('./Data/Unit Test Square.csv'
).data # Loading the .csv data file
except:
print('File not found, Please input valid file.')
for row in test_data:
x = int(row['Value 1'])
expect_result = int(row['Result'])
self.assertEqual(self.calobject.square(x), expect_result)
self.assertEqual(self.calobject.result, expect_result)
print('Successful Testing!')
def test_addition_method_calculator(self): # Testing of the add function
print("Testing Addition")
try:
test_data = CsvReader('./Data/Unit Test Addition.csv'
).data # Loading the .csv data file
except:
print('File not found, Please input valid file.')
for row in test_data:
x = row['Value 1']
y = row['Value 2']
expect_result = int(row['Result'])
self.assertEqual(self.calobject.add(x, y), expect_result)
self.assertEqual(self.calobject.result, expect_result)
print('Successful Testing!')
def test_Variance_of_Sample_Proportion(self): #complete
print(' ')
print('Testing Variance of Sample Proportion')
try:
test_data = CsvReader('Data/StatData.csv').data
except:
print('File not found, Please input valid file.')
dataset = []
for row in test_data:
y = int(row['Value 1'])
dataset.append(y)
x = self.statobj.variance_of_samp_proportion(dataset)
self.assertEqual(x, x)
print('Successful Testing!')
def test_Sample_Mean_calculator(self): # complete
print(' ')
print('Testing Sample Mean')
try:
test_data = CsvReader('Data/StatData.csv').data
except:
print('File not found, Please input valid file.')
dataset = []
for row in test_data:
y = int(row['Value 1'])
dataset.append(y)
x, z = self.statobj.samplemean(dataset)
self.assertEqual(x, z)
print('Successful Testing!')
def test_divide_method_calculator(self): # Testing of the divide function
print(' ')
print('Testing Division')
try:
test_data = CsvReader('./Data/Unit Test Division.csv'
).data # Loading the .csv data file
except:
print('File not found, Please input valid file.')
for row in test_data:
x = float(row['Value 1'])
y = float(row['Value 2'])
expect_result = float(row['Result'])
self.assertEqual(self.calobject.divide(x, y),
round(expect_result, 7))
self.assertEqual(self.calobject.result, round(expect_result, 7))
print('Successful Testing!')
def test_multiply_method_calculator(
self): # Testing of the multiply function
print(' ')
print('Testing Multiplication')
try:
test_data = CsvReader('./Data/Unit Test Multiplication.csv'
).data # Loading the .csv data file
except:
print('File not found, Please input valid file.')
for row in test_data:
x = int(row['Value 1'])
y = int(row['Value 2'])
expect_result = int(row['Result'])
self.assertEqual(self.calobject.multiply(x, y), expect_result)
self.assertEqual(self.calobject.result, expect_result)
print('Successful Testing!')
def __init__(self, filepath):
self.data = CsvReader('Data/StatData.csv').data
super().__init__()
def setUp(self) -> None:
self.csv_reader = CsvReader('Data/Unit Test Addition.csv')