def test_getMeanFile():
paths = [
'analysis.ica/melodic_IC.nii.gz', 'analysis.ica/melodic_mix',
'analysis.ica/melodic_FTmix', 'analysis.ica/mean.nii.gz'
]
paths = [op.join(*p.split('/')) for p in paths]
with tests.testdir(paths) as testdir:
meldir = op.join(testdir, 'analysis.ica')
expected = op.join(testdir, 'analysis.ica', 'mean.nii.gz')
assert mela.getMeanFile(meldir) == expected
paths = [
'analysis.ica/melodic_IC.nii.gz', 'analysis.ica/melodic_mix',
'analysis.ica/melodic_FTmix', 'analysis.ica/mean.txt'
]
paths = [op.join(*p.split('/')) for p in paths]
with tests.testdir(paths) as testdir:
meldir = op.join(testdir, 'analysis.ica')
with pytest.raises(fslpath.PathError):
mela.getMeanFile(meldir)
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)