def test_SCALE_smoke(testdata_cbma, tmp_path_factory):
"""Smoke test for SCALE."""
tmpdir = tmp_path_factory.mktemp("test_SCALE_smoke")
out_file = os.path.join(tmpdir, "file.pkl.gz")
dset = testdata_cbma.slice(testdata_cbma.ids[:3])
with pytest.raises(TypeError):
ale.SCALE(xyz="dog", n_iters=5, n_cores=1)
with pytest.raises(ValueError):
ale.SCALE(xyz=np.random.random((5, 3, 1)), n_iters=5, n_cores=1)
with pytest.raises(ValueError):
ale.SCALE(xyz=np.random.random((3, 10)), n_iters=5, n_cores=1)
xyz = vox2mm(
np.vstack(np.where(testdata_cbma.masker.mask_img.get_fdata())).T,
testdata_cbma.masker.mask_img.affine,
)
xyz = xyz[:20, :]
meta = ale.SCALE(xyz, n_iters=5, n_cores=1)
res = meta.fit(dset)
assert isinstance(res, nimare.results.MetaResult)
assert "z" in res.maps.keys()
assert isinstance(res.get_map("z", return_type="image"), nib.Nifti1Image)
assert isinstance(res.get_map("z", return_type="array"), np.ndarray)
meta.save(out_file)
assert os.path.isfile(out_file)
def test_SCALE_smoke_lowmem(testdata_cbma):
"""Smoke test for SCALE with low memory settings."""
dset = testdata_cbma.slice(testdata_cbma.ids[:3])
ijk = np.vstack(np.where(testdata_cbma.masker.mask_img.get_fdata())).T
ijk = ijk[:, :20]
meta = ale.SCALE(n_iters=5, n_cores=1, ijk=ijk, memory_limit="1gb")
res = meta.fit(dset)
assert isinstance(res, nimare.results.MetaResult)
assert "z" in res.maps.keys()
assert isinstance(res.get_map("z", return_type="image"), nib.Nifti1Image)
assert isinstance(res.get_map("z", return_type="array"), np.ndarray)
def test_SCALE_smoke(testdata_cbma):
"""Smoke test for SCALE."""
dset = testdata_cbma.slice(testdata_cbma.ids[:3])
xyz = vox2mm(
np.vstack(np.where(testdata_cbma.masker.mask_img.get_fdata())).T,
testdata_cbma.masker.mask_img.affine,
)
xyz = xyz[:, :20]
meta = ale.SCALE(n_iters=5, n_cores=1, xyz=xyz)
res = meta.fit(dset)
assert isinstance(res, nimare.results.MetaResult)
assert "z" in res.maps.keys()
assert isinstance(res.get_map("z", return_type="image"), nib.Nifti1Image)
assert isinstance(res.get_map("z", return_type="array"), np.ndarray)