On Sat, 16 May 2026 16:27:59 +0000 Santiago Vila <[email protected]> wrote:
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)]
[CUT]
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
The issue seems to be due to an incompatibility of dask 2024.12.1 with
recent versions of numpy.
In this specific case the "interpolation" keyword argument has been
removed from the "nanquantile" function in numpy v2.4 but it is still
used in dask.
Please note that this specific issue has been fixed upstream in
https://github.com/dask/dask/pull/12108.
kind regards
--
Antonio Valentino
