def test_stdev(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(column['Stdev'])
listx = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
self.statisticss.stdev_(listx)
self.assertEqual(round(self.statisticss.result), round(result_test))
def test_sqrt(self):
test_data = csvreader('Tests/csvdata/UnitTestSquareRoot.csv').data
for row in test_data:
result = float(row['Result'])
self.assertAlmostEqual(self.calculator.sqrt_(row['Value 1']),
result)
self.assertAlmostEqual(self.calculator.result, result)
def test_populationvar(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(column['populationvar'])
listx = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
self.assertEqual(round(self.extendedstat.populationvar(listx)),
round(result_test))
def test_pvalue(self):
test_data = csvreader('Tests/csvdata/UnitArgument.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(column['pvalue'])
for column in test_data:
a = float(column['a'])
b = float(column['b'])
c = float(column['c'])
d = float(column['d'])
self.assertAlmostEqual(self.extendedstat.pvalue_(a, b, c, d),
result_test)
def test_div(self):
test_data = csvreader('Tests/csvdata/UnitTestDivision.csv').data
for row in test_data:
result = float(row['Result'])
self.assertAlmostEqual(
self.calculator.division(row['Value 1'], row['Value 2']),
result)
self.assertAlmostEqual(self.calculator.result, result)
def test_times(self):
test_data = csvreader('Tests/csvdata/UnitTestMultiplication.csv').data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.calculator.multiply(row['Value 1'], row['Value 2']),
result)
self.assertEqual(self.calculator.result, result)
def test_subtraction(self):
test_data = csvreader('Tests/csvdata/UnitTestSubtraction.csv').data
for row in test_data:
result = float(row['Result'])
self.assertEqual(
self.calculator.subtraction(row['Value 1'], row['Value 2']),
result)
self.assertEqual(self.calculator.result, result)
def test_zscore(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(column['zscore'])
z = float(column['zvalue4zscore'])
listx = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
self.assertEqual(round(self.extendedstat.zscore_(z, listx)),
round(result_test))
def test_Variance_of_population_proportion(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(
column['Variance_of_population_proportion'])
listx = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
self.assertAlmostEqual(
self.extendedstat.Variance_of_population_proportion_(listx),
result_test)
def test_sample(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
#test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
listx = []
#since this not a sudo random number genrator we can predict the lenght!
for row in test_data:
result = float(row['Array'])
listx.append(result)
self.extendedstat.sample_(listx, 50)
self.assertEqual(len(listx), 309)
def test_population_correlation_coefficient(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test = float(
column['population_correlation_coefficient'])
listx = []
listy = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
result2 = float(row['Array2'])
listy.append(result2)
self.assertAlmostEqual(
float(
self.extendedstat.population_correlation_coefficient_(
listx, listy)), float(result_test))
def test_cinterval(self):
test_data = csvreader('Tests/csvdata/Array3.csv').data
test_result = csvreader('Tests/csvdata/Array3_result2.csv').data
for column in test_result:
result_test1 = float(column['cintreval1'])
result_test2 = float(column['cintreval2'])
listx = x = []
for row in test_data:
result = float(row['Array'])
listx.append(result)
x = self.extendedstat.cintreval_(listx)
try:
self.assertAlmostEqual(x[0], result_test1)
self.assertAlmostEqual(x[1], result_test2)
except AssertionError as e:
print("Cintreval has AsserstionError:", e)
assert 0
def setUp(self) -> None:
self.csv_reader = csvreader('Tests/csvdata/UnitTestStudentInfo.csv')
