def test_mean_calculator(self):
self.statistics = Statistics()
self.test_data = csv_reader2('src/Tests/StatisticsTests/data/mean.csv')
result = 3
for row in self.test_data:
self.assertEqual(self.statistics.mean(row), result)
self.assertEqual(self.statistics.result, int(result))
self.assertRaises(ZeroDivisionError, self.statistics.mean([]))
self.assertRaises(ValueError, self.statistics.mean(['one', 'two']))
def test_p_value_calculator(self):
self.statistics = Statistics()
self.test_data = CsvReader(
'src/Tests/StatisticsTests/data/p_value.csv').data
for row in self.test_data:
self.assertEqual(
self.statistics.p_value(row['EVENT'], row['SAMPLES']),
float(row['RESULT']))
self.assertEqual(self.statistics.result, float(row['RESULT']))
def test_proportion_calculator(self):
self.statistics = Statistics()
self.test_data = CsvReader(
'src/Tests/StatisticsTests/data/proportion.csv').data
for row in self.test_data:
self.assertEqual(
self.statistics.get_proportion(row['SAMPLE SIZE'],
row['OUTCOMES']),
float(row['RESULT']))
self.assertEqual(self.statistics.result, float(row['RESULT']))
def test_sample_mean_calculator(self):
self.statistics = Statistics()
self.test_data = csv_reader2('src/Tests/StatisticsTests/data/mean.csv')
for row in self.test_data:
# check that get sample returns the proper number of samples
self.assertEqual(len(get_sample(row, 3)), 3)
# check that sample size is not 0
self.assertRaises(ZeroDivisionError,
self.statistics.sample_mean([], 0))
# Test sample is not larger than population
self.assertRaises(ValueError, self.statistics.sample_mean([1, 2, 3],
4))
class MyTestCase(unittest.TestCase):
def tearDown(self):
if CsvReader.data is not None:
CsvReader.data = []
def test_p_value_calculator(self):
self.statistics = Statistics()
self.test_data = CsvReader(
'src/Tests/StatisticsTests/data/p_value.csv').data
for row in self.test_data:
self.assertEqual(
self.statistics.p_value(row['EVENT'], row['SAMPLES']),
float(row['RESULT']))
self.assertEqual(self.statistics.result, float(row['RESULT']))
class MyTestCase(unittest.TestCase):
def tearDown(self):
if CsvReader.data is not None:
CsvReader.data = []
def test_proportion_calculator(self):
self.statistics = Statistics()
self.test_data = CsvReader(
'src/Tests/StatisticsTests/data/proportion.csv').data
for row in self.test_data:
self.assertEqual(
self.statistics.get_proportion(row['SAMPLE SIZE'],
row['OUTCOMES']),
float(row['RESULT']))
self.assertEqual(self.statistics.result, float(row['RESULT']))
def setUp(self) -> None:
self.statistics = Statistics()
def test_sample_std_deviation_calculator(self):
self.statistics = Statistics()
data = [1, 2, 3, 4, 1, 6, 8, 23, 34]
result = 11.13552873
self.assertEqual(self.statistics.sample_std_deviation(data), result)
def test_instantiate_calculator(self):
self.statistics = Statistics()
self.assertIsInstance(self.statistics, Statistics)
def test_sample_std_deviation_calculator(self):
self.statistics = Statistics()
data = [12, 13, 45, 56, 55, 54, 23]
result = 361
self.assertEqual(self.statistics.sample_variance(data), result)