--- Begin Message ---
Package: src:python-polsarpro
Version: 2026.1.2-1
Severity: serious
Tags: ftbfs forky sid
Dear maintainer:
During a rebuild of all packages in unstable, this package failed to build.
Below you will find the last part of the build log (probably the most
relevant part, but not necessarily). If required, the full build log
is available here:
https://people.debian.org/~sanvila/build-logs/202605/
About the archive rebuild: The build was made on virtual machines from AWS,
using sbuild and a reduced chroot with only build-essential packages.
If you cannot reproduce the bug please contact me privately, as I
am willing to provide ssh access to a virtual machine where the bug is
fully reproducible.
If this is really a bug in one of the build-depends, please use
reassign and add an affects on src:python-polsarpro, so that this is still
visible in the BTS web page for this package.
Thanks.
--------------------------------------------------------------------------------
[...]
debian/rules clean
dh clean --buildsystem=pybuild
dh_auto_clean -O--buildsystem=pybuild
dh_autoreconf_clean -O--buildsystem=pybuild
dh_clean -O--buildsystem=pybuild
debian/rules binary
dh binary --buildsystem=pybuild
dh_update_autotools_config -O--buildsystem=pybuild
dh_autoreconf -O--buildsystem=pybuild
dh_auto_configure -O--buildsystem=pybuild
dh_auto_build -O--buildsystem=pybuild
I: pybuild plugin_pyproject:142: Building wheel for python3.14 with "build"
module
I: pybuild base:385: python3.14 -m build --skip-dependency-check --no-isolation
--wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.14_polsarpro
* Building wheel...
running bdist_wheel
[... snipped ...]
/usr/lib/python3/dist-packages/dask/array/reductions.py:2058: in nanquantile
result = a.map_blocks(
/usr/lib/python3/dist-packages/dask/array/core.py:2705: in map_blocks
return map_blocks(func, self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/dask/array/core.py:828: in map_blocks
dtype = apply_infer_dtype(func, args, original_kwargs, "map_blocks")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
func = <function _custom_quantile at 0x7fe4d208c4a0>
args = [array([[[1.]]], dtype=float32)]
kwargs = {'axis': [2, 1], 'interpolation': None, 'keepdims': False, 'method':
'linear', ...}
funcname = 'map_blocks', suggest_dtype = 'dtype', nout = None
def apply_infer_dtype(func, args, kwargs, funcname, suggest_dtype="dtype",
nout=None):
"""
Tries to infer output dtype of ``func`` for a small set of input
arguments.
Parameters
----------
func: Callable
Function for which output dtype is to be determined
args: List of array like
Arguments to the function, which would usually be used. Only
attributes
``ndim`` and ``dtype`` are used.
kwargs: dict
Additional ``kwargs`` to the ``func``
funcname: String
Name of calling function to improve potential error messages
suggest_dtype: None/False or String
If not ``None`` adds suggestion to potential error message to
specify a dtype
via the specified kwarg. Defaults to ``'dtype'``.
nout: None or Int
``None`` if function returns single output, integer if many.
Defaults to ``None``.
Returns
-------
: dtype or List of dtype
One or many dtypes (depending on ``nout``)
"""
from dask.array.utils import meta_from_array
# make sure that every arg is an evaluated array
args = [
(
np.ones_like(meta_from_array(x), shape=((1,) * x.ndim),
dtype=x.dtype)
if is_arraylike(x)
else x
)
for x in args
]
try:
with np.errstate(all="ignore"):
o = func(*args, **kwargs)
except Exception as e:
exc_type, exc_value, exc_traceback = sys.exc_info()
tb = "".join(traceback.format_tb(exc_traceback))
suggest = (
(
"Please specify the dtype explicitly using the "
"`{dtype}` kwarg.\n\n".format(dtype=suggest_dtype)
)
if suggest_dtype
else ""
)
msg = (
f"`dtype` inference failed in `{funcname}`.\n\n"
f"{suggest}"
"Original error is below:\n"
"------------------------\n"
f"{e!r}\n\n"
"Traceback:\n"
"---------\n"
f"{tb}"
)
else:
msg = None
if msg is not None:
> raise ValueError(msg)
E ValueError: `dtype` inference failed in `map_blocks`.
E
E Please specify the dtype explicitly using the `dtype` kwarg.
E
E Original error is below:
E ------------------------
E TypeError("nanquantile() got an unexpected keyword argument
'interpolation'")
E
E Traceback:
E ---------
E File "/usr/lib/python3/dist-packages/dask/array/core.py", line
469, in apply_infer_dtype
E o = func(*args, **kwargs)
E File "/usr/lib/python3/dist-packages/dask/array/reductions.py",
line 1959, in _custom_quantile
E return np.nanquantile(
E ~~~~~~~~~~~~~~^
E a,
E ^^
E ...<5 lines>...
E **kwargs,
E ^^^^^^^^^
E )
E ^
/usr/lib/python3/dist-packages/dask/array/core.py:494: ValueError
______________________________ test_pauli_rgb[T3] ______________________________
synthetic_poldata = {'T3': <xarray.Dataset> Size: 592kB
Dimensions: (y: 128, x: 128)
Coordinates:
* y (y) int64 1kB 0 1 2 3 4 5 ...complex64 131kB
dask.array<chunksize=(16, 16), meta=np.ndarray>
Attributes:
poltype: T3
description: ...}
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"],
indirect=True)
def test_pauli_rgb(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
input_data = ds.chunk(x=64, y=64)
> res = pauli_rgb(input_data=input_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests/test_util.py:319:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
polsarpro/util.py:665: in pauli_rgb
clip_val = rgb.quantile(dim=("x", "y"),
q=q).astype("float32").drop_vars("quantile")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/xarray/core/dataarray.py:5407: in quantile
ds = self._to_temp_dataset().quantile(
/usr/lib/python3/dist-packages/xarray/core/dataset.py:8299: in quantile
variables[name] = var.quantile(
/usr/lib/python3/dist-packages/xarray/core/variable.py:2035: in quantile
result = apply_ufunc(
/usr/lib/python3/dist-packages/xarray/computation/apply_ufunc.py:1279: in
apply_ufunc
return variables_vfunc(*args)
^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/xarray/computation/apply_ufunc.py:820: in
apply_variable_ufunc
result_data = func(*input_data)
^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/xarray/core/variable.py:2028: in _wrapper
return xp.moveaxis(_quantile_func(npa, **kwargs), 0, -1)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/xarray/core/nputils.py:242: in f
result = getattr(npmodule, name)(values, axis=axis, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/dask/array/core.py:1769: in __array_function__
return da_func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/dask/array/reductions.py:2058: in nanquantile
result = a.map_blocks(
/usr/lib/python3/dist-packages/dask/array/core.py:2705: in map_blocks
return map_blocks(func, self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
/usr/lib/python3/dist-packages/dask/array/core.py:828: in map_blocks
dtype = apply_infer_dtype(func, args, original_kwargs, "map_blocks")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
func = <function _custom_quantile at 0x7fe4d208c4a0>
args = [array([[[1.]]], dtype=float32)]
kwargs = {'axis': [2, 1], 'interpolation': None, 'keepdims': False, 'method':
'linear', ...}
funcname = 'map_blocks', suggest_dtype = 'dtype', nout = None
def apply_infer_dtype(func, args, kwargs, funcname, suggest_dtype="dtype",
nout=None):
"""
Tries to infer output dtype of ``func`` for a small set of input
arguments.
Parameters
----------
func: Callable
Function for which output dtype is to be determined
args: List of array like
Arguments to the function, which would usually be used. Only
attributes
``ndim`` and ``dtype`` are used.
kwargs: dict
Additional ``kwargs`` to the ``func``
funcname: String
Name of calling function to improve potential error messages
suggest_dtype: None/False or String
If not ``None`` adds suggestion to potential error message to
specify a dtype
via the specified kwarg. Defaults to ``'dtype'``.
nout: None or Int
``None`` if function returns single output, integer if many.
Defaults to ``None``.
Returns
-------
: dtype or List of dtype
One or many dtypes (depending on ``nout``)
"""
from dask.array.utils import meta_from_array
# make sure that every arg is an evaluated array
args = [
(
np.ones_like(meta_from_array(x), shape=((1,) * x.ndim),
dtype=x.dtype)
if is_arraylike(x)
else x
)
for x in args
]
try:
with np.errstate(all="ignore"):
o = func(*args, **kwargs)
except Exception as e:
exc_type, exc_value, exc_traceback = sys.exc_info()
tb = "".join(traceback.format_tb(exc_traceback))
suggest = (
(
"Please specify the dtype explicitly using the "
"`{dtype}` kwarg.\n\n".format(dtype=suggest_dtype)
)
if suggest_dtype
else ""
)
msg = (
f"`dtype` inference failed in `{funcname}`.\n\n"
f"{suggest}"
"Original error is below:\n"
"------------------------\n"
f"{e!r}\n\n"
"Traceback:\n"
"---------\n"
f"{tb}"
)
else:
msg = None
if msg is not None:
> raise ValueError(msg)
E ValueError: `dtype` inference failed in `map_blocks`.
E
E Please specify the dtype explicitly using the `dtype` kwarg.
E
E Original error is below:
E ------------------------
E TypeError("nanquantile() got an unexpected keyword argument
'interpolation'")
E
E Traceback:
E ---------
E File "/usr/lib/python3/dist-packages/dask/array/core.py", line
469, in apply_infer_dtype
E o = func(*args, **kwargs)
E File "/usr/lib/python3/dist-packages/dask/array/reductions.py",
line 1959, in _custom_quantile
E return np.nanquantile(
E ~~~~~~~~~~~~~~^
E a,
E ^^
E ...<5 lines>...
E **kwargs,
E ^^^^^^^^^
E )
E ^
/usr/lib/python3/dist-packages/dask/array/core.py:494: ValueError
=============================== warnings summary ===============================
tests/test_io.py::test_s_matrix
<frozen importlib._bootstrap>:488: RuntimeWarning: numpy.ndarray size
changed, may indicate binary incompatibility. Expected 16 from C header, got 96
from PyObject
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED tests/test_util.py::test_pauli_rgb[S] - ValueError: `dtype` inference ...
FAILED tests/test_util.py::test_pauli_rgb[C3] - ValueError: `dtype` inference...
FAILED tests/test_util.py::test_pauli_rgb[T3] - ValueError: `dtype` inference...
=================== 3 failed, 69 passed, 1 warning in 4.93s ====================
E: pybuild pybuild:485: test: plugin pyproject failed with: exit code=1: cd
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_polsarpro/build; python3.13 -m pytest
tests
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.14
3.13" --parallel=2 returned exit code 13
make: *** [debian/rules:6: binary] Error 25
dpkg-buildpackage: error: debian/rules binary subprocess failed with exit
status 2
--------------------------------------------------------------------------------
--- End Message ---
--- Begin Message ---
Source: dask
Source-Version: 2024.12.1+dfsg-4
Done: Diane Trout <[email protected]>
We believe that the bug you reported is fixed in the latest version of
dask, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Diane Trout <[email protected]> (supplier of updated dask package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Sat, 04 Jul 2026 13:04:17 -0700
Source: dask
Architecture: source
Version: 2024.12.1+dfsg-4
Distribution: unstable
Urgency: medium
Maintainer: Debian Python Team <[email protected]>
Changed-By: Diane Trout <[email protected]>
Closes: 1131056 1131082 1131087 1136870 1139201 1139202 1139203
Changes:
dask (2024.12.1+dfsg-4) unstable; urgency=medium
.
[ Antonio Valentino ]
* debian/patches:
- New numpy-2.4-compat.patch.
Closes: #1131056, #1131082, #1131087, #1136870, #1139201, #1139202,
#1139203.
- New zarr-3.2-compat.patch.
- New pandas-3.0-compat.patch.patch.
.
[ Diane Trout ]
* Add patches/handle_dask_expr_exception.patch
ignore a FutureWarning triggering an error
* Add patches/ignore-np.maximum-gt2-positional-args-warning.patch
ignore a DprecationWarning
* Add patches/parametrize-requires-tuples.patch
convert a list to list of tuples for pytest
* Add patches/test-mark-flaky.patch
Declare flaky as a pytest mark
* Add pickle-3.14-compatibility.patch
itertools.chain isn't pickleable in Python 3.14
* Add python3-pyarrow to autopkgtest dependencies (test needed it)
* Add disable-test_enforce_columns.patch to disable a test
that is probably failing because we don't have dask_expr.
* Update to d/watch version 5 file format
* Add catch-ufunc_where_no_out_warning.patch
- Don't treat warning as an error
* Add pyarrow_strings_xfails_succeed.patch
- a few pyarrow tests unexpectedly pass
* Add relax-pytable-series-dtype-check.patch
* Enable build time tests
* disable network tests during build
* pyarrow test's don't work with python 3.13
* Don't install unavailable pyarrow test dependency on i386, armhf
* Don't build-depend on python3-sparse on 32-bit architectures for tests
* Clean up pdfs built by testing.
* Add skip_pyarrow_tests.patch to avoid pyarrow tests when not available
* Add skip-dtype-when-32bit.patch
* Skip installing pyarrow in autopkgtests on 32 bit platforms
* The above fixed the manually skipped autopkgtests.
- except for test_division_or_partition, that's still broken
Checksums-Sha1:
0ed88664c180affed3315fb14bec9212c91214dc 4052 dask_2024.12.1+dfsg-4.dsc
c0ad14b3e07d798ac51401535fbf2d03feb78ff1 84132
dask_2024.12.1+dfsg-4.debian.tar.xz
790ee0b9e0ce3f1fd63bac266035a53076cb8616 12726384
dask_2024.12.1+dfsg-4.git.tar.xz
e137bb3291ea6e40ee4f8bc1111e80ebc5857dba 17528
dask_2024.12.1+dfsg-4_source.buildinfo
Checksums-Sha256:
d6997ecc852f0a1d41f936d5363912fb331df80b0416564db278a2841db84609 4052
dask_2024.12.1+dfsg-4.dsc
514e6f07ffaaeae7e8cdbf0ebf1fc7707ed1b7a4be430329610a511cf9a93b90 84132
dask_2024.12.1+dfsg-4.debian.tar.xz
c080e198edbb226b166e2a588fa79247a21c8bd49e228353466db23efb594b0d 12726384
dask_2024.12.1+dfsg-4.git.tar.xz
b7d8f0b3bbdd71e8485476ae0697a286f1b216512b05e921dbc78a22ef26ed84 17528
dask_2024.12.1+dfsg-4_source.buildinfo
Files:
350c23db6677713a4527293ffc15fd58 4052 python optional dask_2024.12.1+dfsg-4.dsc
5cd3c9701ed65f795982d516d3cb0790 84132 python optional
dask_2024.12.1+dfsg-4.debian.tar.xz
012221b5d7f20db2aba8c4b9d12d15f2 12726384 python None
dask_2024.12.1+dfsg-4.git.tar.xz
57d35f727dc11fdde7b1e7097d5b25c8 17528 python optional
dask_2024.12.1+dfsg-4_source.buildinfo
Git-Tag-Info: tag=733d180f81de619de97f77ba2ebecb3ccdc1f38a
fp=4d055c31e4812045f9010d75990d38367334d770
Git-Tag-Tagger: Diane Trout <[email protected]>
-----BEGIN PGP SIGNATURE-----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=4n2Z
-----END PGP SIGNATURE-----
pgpakNWPXEWIf.pgp
Description: PGP signature
--- End Message ---
