Source: skimage
Version: 0.18.3-2
Severity: serious
Justification: FTBFS
Tags: bookworm sid ftbfs
User: [email protected]
Usertags: ftbfs-20220412 ftbfs-bookworm
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> # pass
> make[1]: Leaving directory '/<<PKGBUILDDIR>>'
> dh_auto_test -O--buildsystem=pybuild -Npython3-skimage -Npython-skimage-doc
> I: pybuild base:239: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build;
> python3.9 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.9.12, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
> rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg
> collected 6232 items / 4 skipped / 6228 selected
>
> skimage/_shared/tests/test_coord.py .................................... [
> 0%]
> ...... [
> 0%]
> skimage/_shared/tests/test_fast_exp.py . [
> 0%]
> skimage/_shared/tests/test_geometry.py ... [
> 0%]
> skimage/_shared/tests/test_interpolation.py . [
> 0%]
> skimage/_shared/tests/test_safe_as_int.py .. [
> 0%]
> skimage/_shared/tests/test_testing.py ..... [
> 0%]
> skimage/_shared/tests/test_utils.py .................................... [
> 1%]
> ............................... [
> 1%]
> skimage/_shared/tests/test_version_requirements.py .... [
> 2%]
> skimage/_shared/tests/test_warnings.py ......... [
> 2%]
> skimage/color/tests/test_adapt_rgb.py ....... [
> 2%]
> skimage/color/tests/test_colorconv.py .................................. [
> 2%]
> ........................................................................ [
> 3%]
> ........................................................................ [
> 5%]
> ................................................ [
> 5%]
> skimage/color/tests/test_colorlabel.py .................. [
> 6%]
> skimage/color/tests/test_delta_e.py ........ [
> 6%]
> skimage/data/tests/test_data.py ........s...........s.sssss [
> 6%]
> skimage/draw/tests/test_draw.py ........................................ [
> 7%]
> ........... [
> 7%]
> skimage/draw/tests/test_draw3d.py ........ [
> 7%]
> skimage/draw/tests/test_draw_nd.py ... [
> 7%]
> skimage/draw/tests/test_polygon2mask.py . [
> 7%]
> skimage/draw/tests/test_random_shapes.py .............. [
> 7%]
> skimage/exposure/tests/test_exposure.py ................................ [
> 8%]
> .................................... [
> 9%]
> skimage/exposure/tests/test_histogram_matching.py ...... [
> 9%]
> skimage/feature/tests/test_basic_features.py ..... [
> 9%]
> skimage/feature/tests/test_blob.py ................ [
> 9%]
> skimage/feature/tests/test_brief.py .............. [
> 9%]
> skimage/feature/tests/test_canny.py ......... [
> 9%]
> skimage/feature/tests/test_cascade.py . [
> 9%]
> skimage/feature/tests/test_censure.py ........ [
> 10%]
> skimage/feature/tests/test_corner.py ................................ [
> 10%]
> skimage/feature/tests/test_daisy.py ....... [
> 10%]
> skimage/feature/tests/test_haar.py ..................................... [
> 11%]
> .................. [
> 11%]
> skimage/feature/tests/test_hog.py ............ [
> 11%]
> skimage/feature/tests/test_match.py ...... [
> 11%]
> skimage/feature/tests/test_orb.py ............. [
> 12%]
> skimage/feature/tests/test_peak.py ..................................... [
> 12%]
> ...................... [
> 12%]
> skimage/feature/tests/test_template.py .......... [
> 13%]
> skimage/feature/tests/test_texture.py ........................... [
> 13%]
> skimage/feature/tests/test_util.py ..... [
> 13%]
> skimage/filters/tests/test_correlate.py ....... [
> 13%]
> skimage/filters/tests/test_edges.py .................................... [
> 14%]
> .................................. [
> 14%]
> skimage/filters/tests/test_gabor.py ...... [
> 14%]
> skimage/filters/tests/test_gaussian.py ................... [
> 15%]
> skimage/filters/tests/test_lpi_filter.py .... [
> 15%]
> skimage/filters/tests/test_median.py .............. [
> 15%]
> skimage/filters/tests/test_ridges.py .............. [
> 15%]
> skimage/filters/tests/test_thresholding.py ............................. [
> 16%]
> .............................................................. [
> 17%]
> skimage/filters/tests/test_unsharp_mask.py ............................. [
> 17%]
> ........................................................................ [
> 18%]
> ........................................................................ [
> 20%]
> ........................................................................ [
> 21%]
> ........................................................................ [
> 22%]
> ........................................................................ [
> 23%]
> ........................................................................ [
> 24%]
> ........................................................................ [
> 25%]
> ........................................................................ [
> 26%]
> ........................................................................ [
> 28%]
> ........................................................................ [
> 29%]
> ........................................................................ [
> 30%]
> ........................................................................ [
> 31%]
> ........................................................................ [
> 32%]
> ........................................................................ [
> 33%]
> ........................................................................ [
> 35%]
> ........................................................................ [
> 36%]
> ........................................................................ [
> 37%]
> ........................................................................ [
> 38%]
> ........................................................................ [
> 39%]
> ........................................................................ [
> 40%]
> ........................................................................ [
> 41%]
> ........................................................................ [
> 43%]
> ........................................................................ [
> 44%]
> ........................................................................ [
> 45%]
> ........................................................................ [
> 46%]
> ........................................................................ [
> 47%]
> ........................................................................ [
> 48%]
> ........................................................................ [
> 50%]
> ........................................................................ [
> 51%]
> ........................................................................ [
> 52%]
> ........................................................................ [
> 53%]
> ........................................................................ [
> 54%]
> ........................................................................ [
> 55%]
> ........................................................................ [
> 56%]
> ........................................................................ [
> 58%]
> ........................................................................ [
> 59%]
> ........................................................................ [
> 60%]
> ........................................................................ [
> 61%]
> ........................................................................ [
> 62%]
> ........................................................................ [
> 63%]
> ........................................................................ [
> 65%]
> ........................................................................ [
> 66%]
> ........................................................................ [
> 67%]
> ........................................................................ [
> 68%]
> ........................................................................ [
> 69%]
> ........................................................................ [
> 70%]
> ........................................................................ [
> 72%]
> ........................................................................ [
> 73%]
> ........................................................................ [
> 74%]
> ........................................................................ [
> 75%]
> ....... [
> 75%]
> skimage/filters/tests/test_window.py ................. [
> 75%]
> skimage/future/graph/tests/test_rag.py .......... [
> 76%]
> skimage/future/tests/test_trainable_segmentation.py .... [
> 76%]
> skimage/graph/tests/test_anisotropy.py . [
> 76%]
> skimage/graph/tests/test_connect.py . [
> 76%]
> skimage/graph/tests/test_flexible.py . [
> 76%]
> skimage/graph/tests/test_heap.py .. [
> 76%]
> skimage/graph/tests/test_mcp.py ............... [
> 76%]
> skimage/graph/tests/test_spath.py ... [
> 76%]
> skimage/io/tests/test_collection.py ............ [
> 76%]
> skimage/io/tests/test_colormixer.py ..................... [
> 76%]
> skimage/io/tests/test_histograms.py .. [
> 77%]
> skimage/io/tests/test_imageio.py ...... [
> 77%]
> skimage/io/tests/test_io.py ...x.... [
> 77%]
> skimage/io/tests/test_mpl_imshow.py ....... [
> 77%]
> skimage/io/tests/test_multi_image.py ....... [
> 77%]
> skimage/io/tests/test_pil.py .....F................F [
> 77%]
> skimage/io/tests/test_plugin.py .... [
> 77%]
> skimage/io/tests/test_plugin_util.py .......... [
> 78%]
> skimage/io/tests/test_sift.py .. [
> 78%]
> skimage/io/tests/test_tifffile.py .................... [
> 78%]
> skimage/measure/tests/test_block.py ........ [
> 78%]
> skimage/measure/tests/test_ccomp.py .................... [
> 78%]
> skimage/measure/tests/test_entropy.py .. [
> 78%]
> skimage/measure/tests/test_find_contours.py .............. [
> 79%]
> skimage/measure/tests/test_fit.py ......................... [
> 79%]
> skimage/measure/tests/test_label.py .... [
> 79%]
> skimage/measure/tests/test_marching_cubes.py ......... [
> 79%]
> skimage/measure/tests/test_moments.py ............ [
> 79%]
> skimage/measure/tests/test_pnpoly.py .... [
> 79%]
> skimage/measure/tests/test_polygon.py .. [
> 80%]
> skimage/measure/tests/test_profile.py ......................... [
> 80%]
> skimage/measure/tests/test_regionprops.py .............................. [
> 80%]
> ................................. [
> 81%]
> skimage/measure/tests/test_structural_similarity.py ................ [
> 81%]
> skimage/metrics/tests/test_segmentation_metrics.py .... [
> 81%]
> skimage/metrics/tests/test_set_metrics.py .............................. [
> 82%]
> .............. [
> 82%]
> skimage/metrics/tests/test_simple_metrics.py ...... [
> 82%]
> skimage/metrics/tests/test_structural_similarity.py ................ [
> 82%]
> skimage/morphology/tests/test_binary.py ................. [
> 83%]
> skimage/morphology/tests/test_convex_hull.py ........ [
> 83%]
> skimage/morphology/tests/test_extrema.py ...................... [
> 83%]
> skimage/morphology/tests/test_flood_fill.py ................. [
> 83%]
> skimage/morphology/tests/test_grey.py .......................... [
> 84%]
> skimage/morphology/tests/test_max_tree.py ........ [
> 84%]
> skimage/morphology/tests/test_misc.py ............... [
> 84%]
> skimage/morphology/tests/test_reconstruction.py ............ [
> 84%]
> skimage/morphology/tests/test_selem.py .......... [
> 84%]
> skimage/morphology/tests/test_skeletonize.py ...................... [
> 85%]
> skimage/morphology/tests/test_skeletonize_3d.py ................. [
> 85%]
> skimage/morphology/tests/test_util.py .................... [
> 85%]
> skimage/registration/tests/test_ilk.py ............. [
> 86%]
> skimage/registration/tests/test_masked_phase_cross_correlation.py ...... [
> 86%]
> ..... [
> 86%]
> skimage/registration/tests/test_phase_cross_correlation.py ........... [
> 86%]
> skimage/registration/tests/test_tvl1.py ....... [
> 86%]
> skimage/restoration/tests/test_denoise.py .............................. [
> 87%]
> ........................................................................ [
> 88%]
> ............................ [
> 88%]
> skimage/restoration/tests/test_inpaint.py ... [
> 88%]
> skimage/restoration/tests/test_j_invariant.py ...... [
> 88%]
> skimage/restoration/tests/test_restoration.py ....ssss [
> 88%]
> skimage/restoration/tests/test_rolling_ball.py ...............s [
> 89%]
> skimage/restoration/tests/test_unwrap.py ................ [
> 89%]
> skimage/segmentation/tests/test_active_contour_model.py ....... [
> 89%]
> skimage/segmentation/tests/test_boundaries.py ..... [
> 89%]
> skimage/segmentation/tests/test_chan_vese.py ......... [
> 89%]
> skimage/segmentation/tests/test_clear_border.py ...... [
> 89%]
> skimage/segmentation/tests/test_expand_labels.py ................... [
> 90%]
> skimage/segmentation/tests/test_felzenszwalb.py ...... [
> 90%]
> skimage/segmentation/tests/test_join.py ................................ [
> 90%]
> ............. [
> 91%]
> skimage/segmentation/tests/test_morphsnakes.py ........ [
> 91%]
> skimage/segmentation/tests/test_quickshift.py ... [
> 91%]
> skimage/segmentation/tests/test_random_walker.py ................... [
> 91%]
> skimage/segmentation/tests/test_slic.py .......................... [
> 91%]
> skimage/segmentation/tests/test_watershed.py .................. [
> 92%]
> skimage/transform/tests/test_finite_radon_transform.py . [
> 92%]
> skimage/transform/tests/test_geometric.py .............................. [
> 92%]
> . [
> 92%]
> skimage/transform/tests/test_hough_transform.py ........................ [
> 93%]
> ....... [
> 93%]
> skimage/transform/tests/test_integral.py .... [
> 93%]
> skimage/transform/tests/test_pyramids.py ................. [
> 93%]
> skimage/transform/tests/test_radon_transform.py ........................ [
> 93%]
> ........................................................................ [
> 95%]
> .......................... [
> 95%]
> skimage/transform/tests/test_warps.py .................................. [
> 96%]
> ................ [
> 96%]
> skimage/util/tests/test_apply_parallel.py ................. [
> 96%]
> skimage/util/tests/test_arraycrop.py ....... [
> 96%]
> skimage/util/tests/test_arraypad.py .................................... [
> 97%]
> ....................s...... [
> 97%]
> skimage/util/tests/test_compare.py ..... [
> 97%]
> skimage/util/tests/test_dtype.py ....................................... [
> 98%]
> ........ [
> 98%]
> skimage/util/tests/test_invert.py ...... [
> 98%]
> skimage/util/tests/test_map_array.py ..... [
> 98%]
> skimage/util/tests/test_montage.py ........ [
> 98%]
> skimage/util/tests/test_random_noise.py .............. [
> 99%]
> skimage/util/tests/test_regular_grid.py .... [
> 99%]
> skimage/util/tests/test_shape.py .................. [
> 99%]
> skimage/util/tests/test_unique_rows.py ..... [
> 99%]
> skimage/viewer/tests/test_plugins.py ssssssssss [
> 99%]
> skimage/viewer/tests/test_tools.py ssssss [
> 99%]
> skimage/viewer/tests/test_utils.py ssss [
> 99%]
> skimage/viewer/tests/test_viewer.py sss [
> 99%]
> skimage/viewer/tests/test_widgets.py sssssss
> [100%]
>
> =================================== FAILURES
> ===================================
> _______________________ test_imread_index_png_with_alpha
> _______________________
>
> def test_imread_index_png_with_alpha():
> # The file `foo3x5x4indexed.png` was created with this array
> # (3x5 is (height)x(width)):
> dfoo = np.array([[[127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255]],
> [[192, 192, 255, 0],
> [192, 192, 255, 0],
> [0, 0, 255, 0],
> [0, 0, 255, 0],
> [0, 0, 255, 0]],
> [[0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255]]], dtype=np.uint8)
> > img = imread(fetch('data/foo3x5x4indexed.png'))
>
> skimage/io/tests/test_pil.py:107:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> skimage/io/_io.py:48: in imread
> img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
> skimage/io/manage_plugins.py:207: in call_plugin
> return func(*args, **kwargs)
> skimage/io/_plugins/pil_plugin.py:49: in imread
> return pil_to_ndarray(im, dtype=dtype, img_num=img_num)
> skimage/io/_plugins/pil_plugin.py:100: in pil_to_ndarray
> grayscale = _palette_is_grayscale(image)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> pil_image = <PIL.PngImagePlugin.PngImageFile image mode=P size=5x3 at
> 0x7F846C29DE20>
>
> def _palette_is_grayscale(pil_image):
> """Return True if PIL image in palette mode is grayscale.
>
> Parameters
> ----------
> pil_image : PIL image
> PIL Image that is in Palette mode.
>
> Returns
> -------
> is_grayscale : bool
> True if all colors in image palette are gray.
> """
> if pil_image.mode != 'P':
> raise ValueError('pil_image.mode must be equal to "P".')
> # get palette as an array with R, G, B columns
> > palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
> E ValueError: cannot reshape array of size 12 into shape (256,3)
>
> skimage/io/_plugins/pil_plugin.py:163: ValueError
> _____________________________ test_extreme_palette
> _____________________________
>
> def test_extreme_palette():
> > img = imread(fetch('data/green_palette.png'))
>
> skimage/io/tests/test_pil.py:298:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> skimage/io/_io.py:48: in imread
> img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
> skimage/io/manage_plugins.py:207: in call_plugin
> return func(*args, **kwargs)
> skimage/io/_plugins/pil_plugin.py:49: in imread
> return pil_to_ndarray(im, dtype=dtype, img_num=img_num)
> skimage/io/_plugins/pil_plugin.py:100: in pil_to_ndarray
> grayscale = _palette_is_grayscale(image)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> pil_image = <PIL.PngImagePlugin.PngImageFile image mode=P size=320x240 at
> 0x7F846C29D9A0>
>
> def _palette_is_grayscale(pil_image):
> """Return True if PIL image in palette mode is grayscale.
>
> Parameters
> ----------
> pil_image : PIL image
> PIL Image that is in Palette mode.
>
> Returns
> -------
> is_grayscale : bool
> True if all colors in image palette are gray.
> """
> if pil_image.mode != 'P':
> raise ValueError('pil_image.mode must be equal to "P".')
> # get palette as an array with R, G, B columns
> > palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
> E ValueError: cannot reshape array of size 57 into shape (256,3)
>
> skimage/io/_plugins/pil_plugin.py:163: ValueError
> =============================== warnings summary
> ===============================
> skimage/filters/rank/generic.py:1
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/filters/rank/generic.py:1:
> DeprecationWarning: invalid escape sequence \-
> """
>
> skimage/restoration/tests/test_denoise.py:17
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/restoration/tests/test_denoise.py:17:
> DeprecationWarning: invalid escape sequence \A
> DASK_WARNING = 'dask is required for parallel computation, but it is not
> available. Computation will be performed serially.|\A\Z'
>
> ../../../../../../usr/lib/python3.9/importlib/__init__.py:127
> /usr/lib/python3.9/importlib/__init__.py:127: UserWarning: Viewer requires
> Qt
> return _bootstrap._gcd_import(name[level:], package, level)
>
> .pybuild/cpython3_3.9/build/skimage/filters/tests/test_gabor.py: 1384 warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/filters/_gabor.py:90:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> g = np.zeros(y.shape, dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_pil.py::test_imread_separate_channels
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (3, 16, 8)
> and dtype 'float64' are stored as RGB with separate component planes. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' and 'planarconfig' parameters are specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'fastij' argument is ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'multifile' argument is ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'multifile_close' argument is
> ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape7-float32]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'float32' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape8-int16]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'int16' are stored as RGB with contiguous samples. Future versions
> will store such data as MINISBLACK in separate pages by default unless the
> 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape9-float64]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'float64' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape12-float32]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'float32' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape13-int16]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'int16' are stored as RGB with contiguous samples. Future versions
> will store such data as MINISBLACK in separate pages by default unless the
> 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape14-float64]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'float64' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.9/build/skimage/measure/tests/test_fit.py::test_ransac_is_data_valid
> .pybuild/cpython3_3.9/build/skimage/measure/tests/test_fit.py::test_ransac_is_model_valid
> .pybuild/cpython3_3.9/build/skimage/measure/tests/test_fit.py::test_ransac_sample_duplicates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/measure/fit.py:879:
> UserWarning: No inliers found. Model not fitted
> warn("No inliers found. Model not fitted")
>
> .pybuild/cpython3_3.9/build/skimage/registration/tests/test_masked_phase_cross_correlation.py::test_cross_correlate_masked_over_axes
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/registration/tests/test_masked_phase_cross_correlation.py:225:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> with_loop = np.empty_like(arr1, dtype=np.complex)
>
> .pybuild/cpython3_3.9/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float32-float32]
> .pybuild/cpython3_3.9/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float32-float64]
> .pybuild/cpython3_3.9/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float64-float32]
> .pybuild/cpython3_3.9/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float64-float64]
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/restoration/deconvolution.py:376:
> RuntimeWarning: invalid value encountered in true_divide
> relative_blur = np.where(conv < filter_epsilon, 0, image / conv)
>
> .pybuild/cpython3_3.9/build/skimage/segmentation/tests/test_clear_border.py::test_clear_border
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build/skimage/segmentation/tests/test_clear_border.py:37:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> [1, 1, 1, 1, 1, 1, 1, 1, 1]]).astype(np.bool)
>
> .pybuild/cpython3_3.9/build/skimage/util/tests/test_apply_parallel.py: 18
> warnings
> /usr/lib/python3/dist-packages/dask/array/overlap.py:642: FutureWarning:
> Default 'boundary' argument value will change from 'reflect' to 'none' in
> future versions from 2022.03.0 onwards. Use 'boundary="none"' to opt into the
> future behavior now or set 'boundary="reflect"' to maintain the current
> behavior going forward.
> warnings.warn(
>
> .pybuild/cpython3_3.9/build/skimage/util/tests/test_arraypad.py::TypeError1::test_check_wrong_pad_amount
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:737:
> VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences
> (which is a list-or-tuple of lists-or-tuples-or ndarrays with different
> lengths or shapes) is deprecated. If you meant to do this, you must specify
> 'dtype=object' when creating the ndarray.
> pad_width = np.asarray(pad_width)
>
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info
> ============================
> FAILED skimage/io/tests/test_pil.py::test_imread_index_png_with_alpha -
> Value...
> FAILED skimage/io/tests/test_pil.py::test_extreme_palette - ValueError:
> canno...
> = 2 failed, 6186 passed, 47 skipped, 1 xfailed, 1425 warnings in 170.91s
> (0:02:50) =
> E: pybuild pybuild:369: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9/build; python3.9 -m pytest
> I: pybuild base:239: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build;
> python3.10 -m pytest
> ============================= test session starts
> ==============================
> platform linux -- Python 3.10.4, pytest-6.2.5, py-1.10.0, pluggy-1.0.0
> rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg
> collected 6232 items / 4 skipped / 6228 selected
>
> skimage/_shared/tests/test_coord.py .................................... [
> 0%]
> ...... [
> 0%]
> skimage/_shared/tests/test_fast_exp.py . [
> 0%]
> skimage/_shared/tests/test_geometry.py ... [
> 0%]
> skimage/_shared/tests/test_interpolation.py . [
> 0%]
> skimage/_shared/tests/test_safe_as_int.py .. [
> 0%]
> skimage/_shared/tests/test_testing.py ..... [
> 0%]
> skimage/_shared/tests/test_utils.py .................................... [
> 1%]
> ............................... [
> 1%]
> skimage/_shared/tests/test_version_requirements.py .... [
> 2%]
> skimage/_shared/tests/test_warnings.py ......... [
> 2%]
> skimage/color/tests/test_adapt_rgb.py ....... [
> 2%]
> skimage/color/tests/test_colorconv.py .................................. [
> 2%]
> ........................................................................ [
> 3%]
> ........................................................................ [
> 5%]
> ................................................ [
> 5%]
> skimage/color/tests/test_colorlabel.py .................. [
> 6%]
> skimage/color/tests/test_delta_e.py ........ [
> 6%]
> skimage/data/tests/test_data.py ........s...........s.sssss [
> 6%]
> skimage/draw/tests/test_draw.py ........................................ [
> 7%]
> ........... [
> 7%]
> skimage/draw/tests/test_draw3d.py ........ [
> 7%]
> skimage/draw/tests/test_draw_nd.py ... [
> 7%]
> skimage/draw/tests/test_polygon2mask.py . [
> 7%]
> skimage/draw/tests/test_random_shapes.py .............. [
> 7%]
> skimage/exposure/tests/test_exposure.py ................................ [
> 8%]
> .................................... [
> 9%]
> skimage/exposure/tests/test_histogram_matching.py ...... [
> 9%]
> skimage/feature/tests/test_basic_features.py ..... [
> 9%]
> skimage/feature/tests/test_blob.py ................ [
> 9%]
> skimage/feature/tests/test_brief.py .............. [
> 9%]
> skimage/feature/tests/test_canny.py ......... [
> 9%]
> skimage/feature/tests/test_cascade.py . [
> 9%]
> skimage/feature/tests/test_censure.py ........ [
> 10%]
> skimage/feature/tests/test_corner.py ................................ [
> 10%]
> skimage/feature/tests/test_daisy.py ....... [
> 10%]
> skimage/feature/tests/test_haar.py ..................................... [
> 11%]
> .................. [
> 11%]
> skimage/feature/tests/test_hog.py ............ [
> 11%]
> skimage/feature/tests/test_match.py ...... [
> 11%]
> skimage/feature/tests/test_orb.py ............. [
> 12%]
> skimage/feature/tests/test_peak.py ..................................... [
> 12%]
> ...................... [
> 12%]
> skimage/feature/tests/test_template.py .......... [
> 13%]
> skimage/feature/tests/test_texture.py ........................... [
> 13%]
> skimage/feature/tests/test_util.py ..... [
> 13%]
> skimage/filters/tests/test_correlate.py ....... [
> 13%]
> skimage/filters/tests/test_edges.py .................................... [
> 14%]
> .................................. [
> 14%]
> skimage/filters/tests/test_gabor.py ...... [
> 14%]
> skimage/filters/tests/test_gaussian.py ................... [
> 15%]
> skimage/filters/tests/test_lpi_filter.py .... [
> 15%]
> skimage/filters/tests/test_median.py .............. [
> 15%]
> skimage/filters/tests/test_ridges.py .............. [
> 15%]
> skimage/filters/tests/test_thresholding.py ............................. [
> 16%]
> .............................................................. [
> 17%]
> skimage/filters/tests/test_unsharp_mask.py ............................. [
> 17%]
> ........................................................................ [
> 18%]
> ........................................................................ [
> 20%]
> ........................................................................ [
> 21%]
> ........................................................................ [
> 22%]
> ........................................................................ [
> 23%]
> ........................................................................ [
> 24%]
> ........................................................................ [
> 25%]
> ........................................................................ [
> 26%]
> ........................................................................ [
> 28%]
> ........................................................................ [
> 29%]
> ........................................................................ [
> 30%]
> ........................................................................ [
> 31%]
> ........................................................................ [
> 32%]
> ........................................................................ [
> 33%]
> ........................................................................ [
> 35%]
> ........................................................................ [
> 36%]
> ........................................................................ [
> 37%]
> ........................................................................ [
> 38%]
> ........................................................................ [
> 39%]
> ........................................................................ [
> 40%]
> ........................................................................ [
> 41%]
> ........................................................................ [
> 43%]
> ........................................................................ [
> 44%]
> ........................................................................ [
> 45%]
> ........................................................................ [
> 46%]
> ........................................................................ [
> 47%]
> ........................................................................ [
> 48%]
> ........................................................................ [
> 50%]
> ........................................................................ [
> 51%]
> ........................................................................ [
> 52%]
> ........................................................................ [
> 53%]
> ........................................................................ [
> 54%]
> ........................................................................ [
> 55%]
> ........................................................................ [
> 56%]
> ........................................................................ [
> 58%]
> ........................................................................ [
> 59%]
> ........................................................................ [
> 60%]
> ........................................................................ [
> 61%]
> ........................................................................ [
> 62%]
> ........................................................................ [
> 63%]
> ........................................................................ [
> 65%]
> ........................................................................ [
> 66%]
> ........................................................................ [
> 67%]
> ........................................................................ [
> 68%]
> ........................................................................ [
> 69%]
> ........................................................................ [
> 70%]
> ........................................................................ [
> 72%]
> ........................................................................ [
> 73%]
> ........................................................................ [
> 74%]
> ........................................................................ [
> 75%]
> ....... [
> 75%]
> skimage/filters/tests/test_window.py ................. [
> 75%]
> skimage/future/graph/tests/test_rag.py .......... [
> 76%]
> skimage/future/tests/test_trainable_segmentation.py .... [
> 76%]
> skimage/graph/tests/test_anisotropy.py . [
> 76%]
> skimage/graph/tests/test_connect.py . [
> 76%]
> skimage/graph/tests/test_flexible.py . [
> 76%]
> skimage/graph/tests/test_heap.py .. [
> 76%]
> skimage/graph/tests/test_mcp.py ............... [
> 76%]
> skimage/graph/tests/test_spath.py ... [
> 76%]
> skimage/io/tests/test_collection.py ............ [
> 76%]
> skimage/io/tests/test_colormixer.py ..................... [
> 76%]
> skimage/io/tests/test_histograms.py .. [
> 77%]
> skimage/io/tests/test_imageio.py ...... [
> 77%]
> skimage/io/tests/test_io.py ...x.... [
> 77%]
> skimage/io/tests/test_mpl_imshow.py ....... [
> 77%]
> skimage/io/tests/test_multi_image.py ....... [
> 77%]
> skimage/io/tests/test_pil.py .....F................F [
> 77%]
> skimage/io/tests/test_plugin.py .... [
> 77%]
> skimage/io/tests/test_plugin_util.py .......... [
> 78%]
> skimage/io/tests/test_sift.py .. [
> 78%]
> skimage/io/tests/test_tifffile.py .................... [
> 78%]
> skimage/measure/tests/test_block.py ........ [
> 78%]
> skimage/measure/tests/test_ccomp.py .................... [
> 78%]
> skimage/measure/tests/test_entropy.py .. [
> 78%]
> skimage/measure/tests/test_find_contours.py .............. [
> 79%]
> skimage/measure/tests/test_fit.py ......................... [
> 79%]
> skimage/measure/tests/test_label.py .... [
> 79%]
> skimage/measure/tests/test_marching_cubes.py ......... [
> 79%]
> skimage/measure/tests/test_moments.py ............ [
> 79%]
> skimage/measure/tests/test_pnpoly.py .... [
> 79%]
> skimage/measure/tests/test_polygon.py .. [
> 80%]
> skimage/measure/tests/test_profile.py ......................... [
> 80%]
> skimage/measure/tests/test_regionprops.py .............................. [
> 80%]
> ................................. [
> 81%]
> skimage/measure/tests/test_structural_similarity.py ................ [
> 81%]
> skimage/metrics/tests/test_segmentation_metrics.py .... [
> 81%]
> skimage/metrics/tests/test_set_metrics.py .............................. [
> 82%]
> .............. [
> 82%]
> skimage/metrics/tests/test_simple_metrics.py ...... [
> 82%]
> skimage/metrics/tests/test_structural_similarity.py ................ [
> 82%]
> skimage/morphology/tests/test_binary.py ................. [
> 83%]
> skimage/morphology/tests/test_convex_hull.py ........ [
> 83%]
> skimage/morphology/tests/test_extrema.py ...................... [
> 83%]
> skimage/morphology/tests/test_flood_fill.py ................. [
> 83%]
> skimage/morphology/tests/test_grey.py .......................... [
> 84%]
> skimage/morphology/tests/test_max_tree.py ........ [
> 84%]
> skimage/morphology/tests/test_misc.py ............... [
> 84%]
> skimage/morphology/tests/test_reconstruction.py ............ [
> 84%]
> skimage/morphology/tests/test_selem.py .......... [
> 84%]
> skimage/morphology/tests/test_skeletonize.py ...................... [
> 85%]
> skimage/morphology/tests/test_skeletonize_3d.py ................. [
> 85%]
> skimage/morphology/tests/test_util.py .................... [
> 85%]
> skimage/registration/tests/test_ilk.py ............. [
> 86%]
> skimage/registration/tests/test_masked_phase_cross_correlation.py ...... [
> 86%]
> ..... [
> 86%]
> skimage/registration/tests/test_phase_cross_correlation.py ........... [
> 86%]
> skimage/registration/tests/test_tvl1.py ....... [
> 86%]
> skimage/restoration/tests/test_denoise.py .............................. [
> 87%]
> ........................................................................ [
> 88%]
> ............................ [
> 88%]
> skimage/restoration/tests/test_inpaint.py ... [
> 88%]
> skimage/restoration/tests/test_j_invariant.py ...... [
> 88%]
> skimage/restoration/tests/test_restoration.py ....ssss [
> 88%]
> skimage/restoration/tests/test_rolling_ball.py ...............s [
> 89%]
> skimage/restoration/tests/test_unwrap.py ................ [
> 89%]
> skimage/segmentation/tests/test_active_contour_model.py ....... [
> 89%]
> skimage/segmentation/tests/test_boundaries.py ..... [
> 89%]
> skimage/segmentation/tests/test_chan_vese.py ......... [
> 89%]
> skimage/segmentation/tests/test_clear_border.py ...... [
> 89%]
> skimage/segmentation/tests/test_expand_labels.py ................... [
> 90%]
> skimage/segmentation/tests/test_felzenszwalb.py ...... [
> 90%]
> skimage/segmentation/tests/test_join.py ................................ [
> 90%]
> ............. [
> 91%]
> skimage/segmentation/tests/test_morphsnakes.py ........ [
> 91%]
> skimage/segmentation/tests/test_quickshift.py ... [
> 91%]
> skimage/segmentation/tests/test_random_walker.py ................... [
> 91%]
> skimage/segmentation/tests/test_slic.py .......................... [
> 91%]
> skimage/segmentation/tests/test_watershed.py .................. [
> 92%]
> skimage/transform/tests/test_finite_radon_transform.py . [
> 92%]
> skimage/transform/tests/test_geometric.py .............................. [
> 92%]
> . [
> 92%]
> skimage/transform/tests/test_hough_transform.py ........................ [
> 93%]
> ....... [
> 93%]
> skimage/transform/tests/test_integral.py .... [
> 93%]
> skimage/transform/tests/test_pyramids.py ................. [
> 93%]
> skimage/transform/tests/test_radon_transform.py ........................ [
> 93%]
> ........................................................................ [
> 95%]
> .......................... [
> 95%]
> skimage/transform/tests/test_warps.py .................................. [
> 96%]
> ................ [
> 96%]
> skimage/util/tests/test_apply_parallel.py ................. [
> 96%]
> skimage/util/tests/test_arraycrop.py ....... [
> 96%]
> skimage/util/tests/test_arraypad.py .................................... [
> 97%]
> ....................s...... [
> 97%]
> skimage/util/tests/test_compare.py ..... [
> 97%]
> skimage/util/tests/test_dtype.py ....................................... [
> 98%]
> ........ [
> 98%]
> skimage/util/tests/test_invert.py ...... [
> 98%]
> skimage/util/tests/test_map_array.py ..... [
> 98%]
> skimage/util/tests/test_montage.py ........ [
> 98%]
> skimage/util/tests/test_random_noise.py .............. [
> 99%]
> skimage/util/tests/test_regular_grid.py .... [
> 99%]
> skimage/util/tests/test_shape.py .................. [
> 99%]
> skimage/util/tests/test_unique_rows.py ..... [
> 99%]
> skimage/viewer/tests/test_plugins.py ssssssssss [
> 99%]
> skimage/viewer/tests/test_tools.py ssssss [
> 99%]
> skimage/viewer/tests/test_utils.py ssss [
> 99%]
> skimage/viewer/tests/test_viewer.py sss [
> 99%]
> skimage/viewer/tests/test_widgets.py sssssss
> [100%]
>
> =================================== FAILURES
> ===================================
> _______________________ test_imread_index_png_with_alpha
> _______________________
>
> def test_imread_index_png_with_alpha():
> # The file `foo3x5x4indexed.png` was created with this array
> # (3x5 is (height)x(width)):
> dfoo = np.array([[[127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255],
> [127, 0, 255, 255]],
> [[192, 192, 255, 0],
> [192, 192, 255, 0],
> [0, 0, 255, 0],
> [0, 0, 255, 0],
> [0, 0, 255, 0]],
> [[0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255],
> [0, 31, 255, 255]]], dtype=np.uint8)
> > img = imread(fetch('data/foo3x5x4indexed.png'))
>
> skimage/io/tests/test_pil.py:107:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> skimage/io/_io.py:48: in imread
> img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
> skimage/io/manage_plugins.py:207: in call_plugin
> return func(*args, **kwargs)
> skimage/io/_plugins/pil_plugin.py:49: in imread
> return pil_to_ndarray(im, dtype=dtype, img_num=img_num)
> skimage/io/_plugins/pil_plugin.py:100: in pil_to_ndarray
> grayscale = _palette_is_grayscale(image)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> pil_image = <PIL.PngImagePlugin.PngImageFile image mode=P size=5x3 at
> 0x7EFE0C340370>
>
> def _palette_is_grayscale(pil_image):
> """Return True if PIL image in palette mode is grayscale.
>
> Parameters
> ----------
> pil_image : PIL image
> PIL Image that is in Palette mode.
>
> Returns
> -------
> is_grayscale : bool
> True if all colors in image palette are gray.
> """
> if pil_image.mode != 'P':
> raise ValueError('pil_image.mode must be equal to "P".')
> # get palette as an array with R, G, B columns
> > palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
> E ValueError: cannot reshape array of size 12 into shape (256,3)
>
> skimage/io/_plugins/pil_plugin.py:163: ValueError
> _____________________________ test_extreme_palette
> _____________________________
>
> def test_extreme_palette():
> > img = imread(fetch('data/green_palette.png'))
>
> skimage/io/tests/test_pil.py:298:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> skimage/io/_io.py:48: in imread
> img = call_plugin('imread', fname, plugin=plugin, **plugin_args)
> skimage/io/manage_plugins.py:207: in call_plugin
> return func(*args, **kwargs)
> skimage/io/_plugins/pil_plugin.py:49: in imread
> return pil_to_ndarray(im, dtype=dtype, img_num=img_num)
> skimage/io/_plugins/pil_plugin.py:100: in pil_to_ndarray
> grayscale = _palette_is_grayscale(image)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> pil_image = <PIL.PngImagePlugin.PngImageFile image mode=P size=320x240 at
> 0x7EFE0C354460>
>
> def _palette_is_grayscale(pil_image):
> """Return True if PIL image in palette mode is grayscale.
>
> Parameters
> ----------
> pil_image : PIL image
> PIL Image that is in Palette mode.
>
> Returns
> -------
> is_grayscale : bool
> True if all colors in image palette are gray.
> """
> if pil_image.mode != 'P':
> raise ValueError('pil_image.mode must be equal to "P".')
> # get palette as an array with R, G, B columns
> > palette = np.asarray(pil_image.getpalette()).reshape((256, 3))
> E ValueError: cannot reshape array of size 57 into shape (256,3)
>
> skimage/io/_plugins/pil_plugin.py:163: ValueError
> =============================== warnings summary
> ===============================
> skimage/data/__init__.py:8
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/data/__init__.py:8:
> DeprecationWarning: The distutils package is deprecated and slated for
> removal in Python 3.12. Use setuptools or check PEP 632 for potential
> alternatives
> from distutils.version import LooseVersion
>
> skimage/filters/rank/generic.py:1
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/filters/rank/generic.py:1:
> DeprecationWarning: invalid escape sequence '\-'
> """
>
> skimage/restoration/tests/test_denoise.py:17
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/restoration/tests/test_denoise.py:17:
> DeprecationWarning: invalid escape sequence '\A'
> DASK_WARNING = 'dask is required for parallel computation, but it is not
> available. Computation will be performed serially.|\A\Z'
>
> ../../../../../../usr/lib/python3.10/importlib/__init__.py:126
> /usr/lib/python3.10/importlib/__init__.py:126: UserWarning: Viewer requires
> Qt
> return _bootstrap._gcd_import(name[level:], package, level)
>
> .pybuild/cpython3_3.10/build/skimage/filters/tests/test_gabor.py: 1384
> warnings
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/filters/_gabor.py:90:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> g = np.zeros(y.shape, dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_pil.py::test_imread_separate_channels
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (3, 16, 8)
> and dtype 'float64' are stored as RGB with separate component planes. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' and 'planarconfig' parameters are specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'fastij' argument is ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'multifile' argument is ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::test_tifffile_kwarg_passthrough
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:825:
> DeprecationWarning: <tifffile.TiffFile> the 'multifile_close' argument is
> ignored
> with TiffFile(files, **kwargs_file) as tif:
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape7-float32]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'float32' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape8-int16]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'int16' are stored as RGB with contiguous samples. Future versions
> will store such data as MINISBLACK in separate pages by default unless the
> 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape9-float64]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 3)
> and dtype 'float64' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape12-float32]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'float32' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape13-int16]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'int16' are stored as RGB with contiguous samples. Future versions
> will store such data as MINISBLACK in separate pages by default unless the
> 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/io/tests/test_tifffile.py::TestSave::test_imsave_roundtrip[shape14-float64]
> /usr/lib/python3/dist-packages/tifffile/tifffile.py:901:
> DeprecationWarning: <tifffile.TiffWriter.write> data with shape (10, 10, 4)
> and dtype 'float64' are stored as RGB with contiguous samples. Future
> versions will store such data as MINISBLACK in separate pages by default
> unless the 'photometric' parameter is specified.
> result = tif.write(data, shape, dtype, **kwargs)
>
> .pybuild/cpython3_3.10/build/skimage/measure/tests/test_fit.py::test_ransac_is_data_valid
> .pybuild/cpython3_3.10/build/skimage/measure/tests/test_fit.py::test_ransac_is_model_valid
> .pybuild/cpython3_3.10/build/skimage/measure/tests/test_fit.py::test_ransac_sample_duplicates
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/measure/fit.py:879:
> UserWarning: No inliers found. Model not fitted
> warn("No inliers found. Model not fitted")
>
> .pybuild/cpython3_3.10/build/skimage/registration/tests/test_masked_phase_cross_correlation.py::test_cross_correlate_masked_over_axes
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/registration/tests/test_masked_phase_cross_correlation.py:225:
> DeprecationWarning: `np.complex` is a deprecated alias for the builtin
> `complex`. To silence this warning, use `complex` by itself. Doing this will
> not modify any behavior and is safe. If you specifically wanted the numpy
> scalar type, use `np.complex128` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> with_loop = np.empty_like(arr1, dtype=np.complex)
>
> .pybuild/cpython3_3.10/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float32-float32]
> .pybuild/cpython3_3.10/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float32-float64]
> .pybuild/cpython3_3.10/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float64-float32]
> .pybuild/cpython3_3.10/build/skimage/restoration/tests/test_restoration.py::test_richardson_lucy_filtered[float64-float64]
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/restoration/deconvolution.py:376:
> RuntimeWarning: invalid value encountered in true_divide
> relative_blur = np.where(conv < filter_epsilon, 0, image / conv)
>
> .pybuild/cpython3_3.10/build/skimage/segmentation/tests/test_clear_border.py::test_clear_border
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build/skimage/segmentation/tests/test_clear_border.py:37:
> DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`.
> To silence this warning, use `bool` by itself. Doing this will not modify any
> behavior and is safe. If you specifically wanted the numpy scalar type, use
> `np.bool_` here.
> Deprecated in NumPy 1.20; for more details and guidance:
> https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
> [1, 1, 1, 1, 1, 1, 1, 1, 1]]).astype(np.bool)
>
> .pybuild/cpython3_3.10/build/skimage/util/tests/test_apply_parallel.py: 18
> warnings
> /usr/lib/python3/dist-packages/dask/array/overlap.py:642: FutureWarning:
> Default 'boundary' argument value will change from 'reflect' to 'none' in
> future versions from 2022.03.0 onwards. Use 'boundary="none"' to opt into the
> future behavior now or set 'boundary="reflect"' to maintain the current
> behavior going forward.
> warnings.warn(
>
> .pybuild/cpython3_3.10/build/skimage/util/tests/test_arraypad.py::TypeError1::test_check_wrong_pad_amount
> /usr/lib/python3/dist-packages/numpy/lib/arraypad.py:737:
> VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences
> (which is a list-or-tuple of lists-or-tuples-or ndarrays with different
> lengths or shapes) is deprecated. If you meant to do this, you must specify
> 'dtype=object' when creating the ndarray.
> pad_width = np.asarray(pad_width)
>
> -- Docs: https://docs.pytest.org/en/stable/warnings.html
> =========================== short test summary info
> ============================
> FAILED skimage/io/tests/test_pil.py::test_imread_index_png_with_alpha -
> Value...
> FAILED skimage/io/tests/test_pil.py::test_extreme_palette - ValueError:
> canno...
> = 2 failed, 6186 passed, 47 skipped, 1 xfailed, 1426 warnings in 177.41s
> (0:02:57) =
> E: pybuild pybuild:369: test: plugin distutils failed with: exit code=1: cd
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10/build; python3.10 -m pytest
> dh_auto_test: error: pybuild --test -i python{version} -p "3.9 3.10" returned
> exit code 13
The full build log is available from:
http://qa-logs.debian.net/2022/04/12/skimage_0.18.3-2_unstable.log
All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=ftbfs-20220412;[email protected]
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=ftbfs-20220412&[email protected]&allbugs=1&cseverity=1&ctags=1&caffected=1#results
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects
If you fail to reproduce this, please provide a build log and diff it with mine
so that we can identify if something relevant changed in the meantime.
