Commit 0e835e7c authored by Paul McCarthy's avatar Paul McCarthy 🚵
Browse files

TEST: Test that loadClusterResults loads correct values

parent 947b7693
......@@ -301,14 +301,15 @@ def test_loadClusterResults():
with tests.testdir() as testdir:
# For higher level analyses, the
# loadClusterResults function peeks
# at the FEAT input data file
# header, so we have to generate it.
# work from a copy of the test data directory
newfeatdir = op.join(testdir, 'analysis.feat')
shutil.copytree(op.join(datadir, featdir), newfeatdir)
featdir = newfeatdir
# For higher level analyses, the
# loadClusterResults function peeks
# at the FEAT input data file
# header, so we have to generate it.
if not firstlevel:
datafile = op.join(featdir, 'filtered_func_data.nii.gz')
data = np.random.randint(1, 10, (91, 109, 91))
......@@ -333,6 +334,35 @@ def test_loadClusterResults():
assert featanalysis.loadClusterResults(
featdir, settings, 0) is None
# The above loop just checks that the number of
# clusters loaded for each analysis was correct.
# Below we check that the cluster data was loaded
# correctly, just for one analysis
featdir = op.join(datadir, '1stlevel_1.feat')
settings = featanalysis.loadSettings(featdir)
cluster = featanalysis.loadClusterResults(featdir, settings, 0)[0]
expected = {
'index' : 1,
'nvoxels' : 296,
'p' : 1.79e-27,
'logp' : 26.7,
'zmax' : 6.03,
'zmaxx' : 34,
'zmaxy' : 10,
'zmaxz' : 1,
'zcogx' : 31.4,
'zcogy' : 12.3,
'zcogz' : 1.72,
'copemax' : 612,
'copemaxx' : 34,
'copemaxy' : 10,
'copemaxz' : 1,
'copemean' : 143
}
for k, v in expected.items():
assert np.isclose(v, getattr(cluster, k))
def test_getDataFile():
paths = ['analysis.feat/filtered_func_data.nii.gz',
......
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