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Description: fix test failures with scipy 1.16.
Author: Étienne Mollier <emollier@debian.org>
Bug: https://github.com/nipy/nibabel/issues/1428
Bug-Debian: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1109953
Last-Update: 2025-10-24
---
This patch header follows DEP-3: http://dep.debian.net/deps/dep3/
--- nibabel.orig/nibabel/tests/test_processing.py
+++ nibabel/nibabel/tests/test_processing.py
@@ -169,8 +169,7 @@
exp_out[1:, :, :] = data[1, :, :]
assert_almost_equal(out.dataobj, exp_out)
out = resample_from_to(img, trans_p_25_img)
- with pytest.warns(UserWarning): # Suppress scipy warning
- exp_out = spnd.affine_transform(data, [1, 1, 1], [-0.25, 0, 0], order=3)
+ exp_out = spnd.affine_transform(data, [1, 1, 1], [-0.25, 0, 0], order=3)
assert_almost_equal(out.dataobj, exp_out)
# Test cval
out = resample_from_to(img, trans_img, cval=99)
@@ -275,8 +274,7 @@
assert_array_equal(out_img.dataobj, np.flipud(data))
# Subsample voxels
out_img = resample_to_output(Nifti1Image(data, np.diag([4, 5, 6, 1])))
- with pytest.warns(UserWarning): # Suppress scipy warning
- exp_out = spnd.affine_transform(data, [1 / 4, 1 / 5, 1 / 6], output_shape=(5, 11, 19))
+ exp_out = spnd.affine_transform(data, [1 / 4, 1 / 5, 1 / 6], output_shape=(5, 11, 19))
assert_array_equal(out_img.dataobj, exp_out)
# Unsubsample with voxel sizes
out_img = resample_to_output(Nifti1Image(data, np.diag([4, 5, 6, 1])), [4, 5, 6])
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