class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.statistics = Statistics()
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_mean_statistics(self):
test_data = CsvReader('Tests/Data/unit_test_mean.csv').data
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.mean(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_median_statistics(self):
test_data = CsvReader('Tests/Data/unit_test_median.csv').data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.median(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9']), result)
self.assertEqual(self.statistics.result, result)
def test_z_score(self):
test_data = CsvReader("Tests/Data/unit_test_zscore.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.zscore(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_standardized_score(self):
test_data = CsvReader(
"Tests/Data/unit_test_standardized_score.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.standardized(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_correlation_coefficient(self):
test_data = CsvReader(
"Tests/Data/unit_test_population_correlation_coefficient.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.corr_coef(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_confidence_interval(self):
test_data = CsvReader(
"Tests/Data/unit_test_confidence_interval.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.confidence(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_population_variance(self):
test_data = CsvReader(
"Tests/Data/unit_test_population_variance.csv").data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.pop_var(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_mode_statistics(self):
test_data = CsvReader('Tests/Data/unit_test_mode.csv').data
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.mode(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8']), result)
self.assertEqual(self.statistics.result, result)
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.statistics = Statistics()
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_population_mean(self):
test_data = CsvReader("Tests/Data/mean.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.mean(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_median(self):
test_data = CsvReader("Tests/Data/median.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.med(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6']), result)
self.assertEqual(self.statistics.result, result)
def test_mode(self):
test_data = CsvReader("Tests/Data/mode.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.mod(row['Value 1'], row['Value 2']), result)
self.assertEqual(self.statistics.result, result)
def test_population_standard_deviation(self):
test_data = CsvReader("Tests/Data/devi.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.population(row['Value 1'], row['Value 2']),
result)
self.assertEqual(self.statistics.result, result)
def test_variance_of_population_proportion(self):
test_data = CsvReader("Tests/Data/variance.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.variance(row['Value 1'], row['Value 2']),
result)
self.assertEqual(self.statistics.result, result)
def test_z_score(self):
test_data = CsvReader("Tests/Data/score.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.score(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_standardized_score(self):
test_data = CsvReader("Tests/Data/score_1.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.standardized(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_correlation_coefficient(self):
test_data = CsvReader("Tests/Data/corr_coef.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.corr_coef(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_confidence_interval(self):
test_data = CsvReader("Tests/Data/conf_inter.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.confidence(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_population_variance(self):
test_data = CsvReader("Tests/Data/pop_var.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.pop_var(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_p_value(self):
test_data = CsvReader("Tests/Data/p_value.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.value(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4']), result)
self.assertEqual(self.statistics.result, result)
def test_proportion(self):
test_data = CsvReader("Tests/Data/propor.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.propor(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_sample_mean(self):
test_data = CsvReader("Tests/Data/samp_mean.csv").data
pprint(test_data)
for row in test_data:
result = int(row['Result'])
self.assertEqual(
self.statistics.samp_mean(row['Value 1'], row['Value 2'],
row['Value 3']), result)
self.assertEqual(self.statistics.result, result)
def test_sample_standard_deviation(self):
test_data = CsvReader("Tests/Data/samp_stan_dev.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.stan_dev(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'], row['Value 10']),
float(row['Result']))
self.assertEqual(float(self.statistics.result), result)
def test_variance_of_sample_proportion(self):
test_data = CsvReader("Tests/Data/var_samp_propor.csv").data
pprint(test_data)
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.statistics.var_samp_propor(row['Value 1'], row['Value 2'],
row['Value 3'], row['Value 4'],
row['Value 5'], row['Value 6'],
row['Value 7'], row['Value 8'],
row['Value 9'],
row['Value 10']),
float(row['Result']))
self.assertEqual(self.statistics.result, result)
def test_results_property(self):
self.assertEqual(self.statistics.result, 0)