def test_that_omitted_cols_not_output(self):
settings = self.SettingsStub(start_from=2,
confounds=self.input_signals,
cf_cols=['x', 'y'],
cf_sq_cols=['y'],
cf_td_cols=[],
cf_sqtd_cols=[])
confound_signals = ciftify_clean_img.mangle_confounds(settings)
assert 'z' not in list(confound_signals.columns.values)
def test_all_cols_named_as_expected(self):
settings = self.SettingsStub(start_from=2,
confounds=self.input_signals,
cf_cols=['x', 'y'],
cf_sq_cols=['y'],
cf_td_cols=['y'],
cf_sqtd_cols=['y'])
confound_signals = ciftify_clean_img.mangle_confounds(settings)
for coln in ['x', 'y', 'y_sq', 'y_lag', 'y_sqlag']:
assert coln in list(confound_signals.columns.values)
def test_sq_is_returned(self):
settings = self.SettingsStub(start_from=2,
confounds=self.input_signals,
cf_cols=['x', 'y'],
cf_sq_cols=['y'],
cf_td_cols=['y'],
cf_sqtd_cols=[])
confound_signals = ciftify_clean_img.mangle_confounds(settings)
test_output = confound_signals['y_sq'].values
expected_output = np.array([1, 4, 16])
assert np.allclose(test_output, expected_output, equal_nan = True), \
"{} not equal to {}".format(test_output, expected_output)
