def test_getTopLevelAnalysisDir():
testpaths = [
('REST.ica/filtered_func_data.ica/melodic_IC.nii.gz', 'REST.ica'),
('REST.ica/filtered_func_data.ica/melodic_mix', 'REST.ica'),
('analysis.gica/groupmelodic.ica/melodic_IC.nii.gz', 'analysis.gica'),
('analysis.feat/filtered_func_data.ica/melodic_mix', 'analysis.feat')]
for tp, expected in testpaths:
assert mela.getTopLevelAnalysisDir(tp) == expected
def test_MelodicImage_atts():
with tests.testdir() as testdir:
meldir = _create_dummy_melodic_analysis(testdir)
img = meli.MelodicImage(meldir)
assert img.shape == (10, 10, 10, 10)
assert img.pixdim == (1, 1, 1, 1)
assert np.all(img.voxToWorldMat == np.eye(4))
assert img.numComponents() == 10
assert img.getMelodicDir() == meldir
assert img.getReportFile() == mela.getReportFile(meldir)
assert img.getTopLevelAnalysisDir() == mela.getTopLevelAnalysisDir(
meldir)
assert img.getDataFile() == mela.getDataFile(meldir)
assert img.getMeanFile() == mela.getMeanFile(meldir)