def test_confidence_interval_calculator(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader('Tests/Data/answers.csv').data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(self.statistics.conf_interval(values), (float(
column['conf_int_high']), float(column['conf_int_low'])))
def test_proportion(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(self.statistics.proportion(values),
float((column['proportion'])))
def test_z_score(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, "value")
for column in answers:
self.assertEqual(self.statistics.z_score(values),
float((column['zscore'])))
def test_sqrt_method_calculator(self):
test_data = CsvReader("Tests/Data/sq_rt.csv").data
pprint(test_data)
for row in test_data:
self.assertEqual(self.calculator.sq_rt(int(row['Value 1'])),
float(row['Result']))
self.assertEqual(self.calculator.result, float(row['Result']))
test_data.clear()
def test_pop_std_dev(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(
round(self.statistics.pop_standard_dev(values), 4),
float((column['PSD'])))
def test_divide_method_calculator(self):
test_data = CsvReader("Tests/Data/division.csv").data
pprint(test_data)
for row in test_data:
self.assertEqual(
self.calculator.divide(row['Value 1'], row['Value 2']),
float(row['Result']))
self.assertEqual(self.calculator.result, float(row['Result']))
test_data.clear()
def test_sqrt(self):
test_data = CsvReader("Tests/testdata/UnitTestSquareRoot.csv").data
for row in test_data:
fmt = ".8f"
result = float(row['Result'])
if float(result).is_integer():
fmt = ".1f"
result = format(float(row['Result']), fmt)
self.assertEqual(self.calculator.sqrt(row['Value 1']), result)
def test_sample_variance(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
x = self.statistics.sample_variance(values)
self.assertEqual(x, x)
def test_CSV(self):
test_data = CsvReader("Tests/Data/csvtester.csv").data
for row in test_data:
self.assertEqual(row["Value 1"], "480")
def test_square(self):
test_data = CsvReader("Tests/testdata/UnitTestSquare.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(self.calculator.square(row['Value 1']), result)
def test_divide(self):
test_data = CsvReader("Tests/testdata/UnitTestDivision.csv").data
for row in test_data:
result = format(float(row['Result']), '.9f')
# print('Result is: ' + result)
self.assertEqual(self.calculator.divide(row['Value 2'], row['Value 1']), result)
def test_multiply(self):
test_data = CsvReader("Tests/testdata/UnitTestMultiplication.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(self.calculator.multiply(float(row['Value 2']), float(row['Value 1'])), result)
def test_subtraction(self):
test_data = CsvReader("Tests/testdata/UnitTestSubtraction.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(self.calculator.subtract(float(row['Value 2']), float(row['Value 1'])), result)