def test_complex_single_var(self):
df = self.df_complex.copy(deep=True)
result = cv.conversion(df, ['q'], {}, 'time', 'repeat')
# unused variable q should be fixed to smallest value: p = 1
assert result[(1, )] == [110]
assert result[(2, )] == [120]
assert result[(3, )] == [130]
def test_complex_both_vars(self):
df = self.df_complex.copy(deep=True)
result = cv.conversion(df, ['p', 'q'], {}, 'time', 'repeat')
assert result[(1, 1)] == [110]
assert result[(1, 2)] == [120]
assert result[(1, 3)] == [130]
assert result[(2, 1)] == [210]
assert result[(2, 2)] == [220]
assert result[(2, 3)] == [230]
assert result[(3, 1)] == [310]
assert result[(3, 2)] == [320]
assert result[(3, 3)] == [330]
def test_nonexistent_repeat(self):
df = self.df_repeat.copy(deep=True)
with pytest.raises(ValueError):
cv.conversion(df, ['p'], {}, 'time', 'none')
def test_repeat(self):
df = self.df_repeat.copy(deep=True)
result = cv.conversion(df, ['p'], {}, 'time', 'repeat')
assert 10 in result[(1, )] and 11 in result[(1, )]
assert 20 in result[(2, )] and 21 in result[(2, )]
assert 30 in result[(3, )] and 31 in result[(3, )]
def test_nonexistent_metric(self):
df = self.df_simple.copy(deep=True)
with pytest.raises(ValueError):
cv.conversion(df, ['p'], {}, 'none', 'repeat')
def test_fixed_to_nonexistent_value(self):
df = self.df_complex.copy(deep=True)
with pytest.raises(ValueError):
cv.conversion(df, ['p'], {'q': 5}, 'time', 'repeat')
def test_fixed_and_var(self):
df = self.df_complex.copy(deep=True)
with pytest.raises(ValueError):
cv.conversion(df, ['q', 'p'], {'p': 2}, 'time', 'repeat')
def test_complex_single_var_fixed(self):
df = self.df_complex.copy(deep=True)
result = cv.conversion(df, ['p'], {'q': 2}, 'time', 'repeat')
assert result[(1, )] == [120]
assert result[(2, )] == [220]
assert result[(3, )] == [320]
def test_simple(self):
df = self.df_simple.copy(deep=True)
result = cv.conversion(df, ['p'], {}, 'time', 'repeat')
assert result[(1, )] == [10]
assert result[(2, )] == [20]
assert result[(3, )] == [30]
def test_fixed_multiple(self):
df = self.df_large.copy(deep=True)
result = cv.conversion(df, ['p'], {'r': 2, 's': 2}, 'metric_a', None)
assert result[(1, )] == [11220]
assert result[(2, )] == [21220]
assert result[(3, )] == [31220]
def test_no_repeat(self):
df = self.df_repeat.copy(deep=True)
result = cv.conversion(df, ['p'], {}, 'time', None)
assert 10 in result[(1, )] or 11 in result[(1, )]
assert 20 in result[(2, )] or 21 in result[(2, )]
assert 30 in result[(3, )] or 31 in result[(3, )]
