def test_pass_percentage_positive(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = {'2010': {'Małopolska': (100 / 200) * 100},
'2011': {'Małopolska': (60 / 200) * 100}}
_, results = a.percentage_of_pass("Małopolska")
assert expected == results
def test_pass_ratio_regression_by_gender(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = ['2010 -> 2011', 'Małopolska', 10.0]
with pytest.warns(Warning):
results = a.pass_ratio_regression(gender='kobiety')[0]
results = [*results]
assert len(set(expected) & set(results)) is len(expected)
def test_pass_percentage_by_gender(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = {'2010': {'Małopolska': (50 / 100) * 100},
'2011': {'Małopolska': (40 / 100) * 100}}
_, results = a.percentage_of_pass("Małopolska", 'kobiety')
assert expected == results
def test_pass_ratio_comparation(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = {'2010': 'Wielkopolska', '2011': 'Insufficient data'}
with pytest.warns(Warning):
results = a.compare_pass_ratio('Wielkopolska', 'Małopolska')
assert results == expected
def test_pass_percentage_by_year(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = {'2010': {'Małopolska': (50 / 100) * 100}}
_, results = a.percentage_of_pass("Małopolska", years='2010')
assert expected == results
def test_count_average_invalid_gender_exception(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
with pytest.raises(ValueError):
a.average_in_year('Polska',2000, gender='invalid')
def test_count_average_by_gender(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = 200 / 1
actual = a.average_in_year('Polska',2000, 2000, gender="kobiety")
assert expected == actual
def test_count_average(self):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = 600 / 2
actual = a.average_in_year('Polska',2001, 2000)
assert expected == actual
def test_pass_ratio_comparation_failed(self, p1, p2):
a = analysis.Analysis(self.csv_dir, encoding='utf-8')
expected = {'2010': 'Insufficient data', '2011': 'Insufficient data'}
with pytest.raises(ValueError):
results = a.compare_pass_ratio(p1, p2)
