do not error on non-3d inputs

The `conform` function can be made more general in the future, and tests that error on non-3d inputs might signal to future developers that it should not be generalized.

Author: kaczmarj

nibabel/cmdline/tests/test_conform.py

@@ -48,11 +48,3 @@ def test_nondefault(tmpdir):
     assert c.shape == out_shape
     assert c.header.get_zooms() == voxel_size
     assert nib.orientations.aff2axcodes(c.affine) == tuple(orientation)
-
-
-@needs_scipy
-def test_non3d(tmpdir):
-    infile = test_data(fname="functional.nii")
-    outfile = tmpdir / "output.nii.gz"
-    with pytest.raises(ValueError):
-        main([str(infile), str(outfile)])

nibabel/tests/test_processing.py

@@ -443,14 +443,3 @@ def test_conform():
     assert c.dataobj.dtype.type == anat.dataobj.dtype.type
     assert aff2axcodes(c.affine) == ('L', 'P', 'I')
     assert isinstance(c, Nifti2Image)
-
-    # Error on non-3D arguments.
-    with pytest.raises(ValueError):
-        conform(anat, out_shape=(100, 100))
-    with pytest.raises(ValueError):
-        conform(anat, voxel_size=(2, 2))
-
-    # Error on non-3D images.
-    func = nib.load(pjoin(DATA_DIR, 'functional.nii'))
-    with pytest.raises(ValueError):
-        conform(func)