Bug#1125022: marked as done (dask.distributed: autopkgtest failure with Python 3.14)

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Your message dated Mon, 03 Aug 2026 21:25:13 -0700
with message-id <[email protected]>
and subject line Re: dask.distributed: autopkgtest failure with Python 3.14
has caused the Debian Bug report #1125022,
regarding dask.distributed: autopkgtest failure with Python 3.14
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

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1125022: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=3D1125022
Debian Bug Tracking System
Contact [email protected] with problems

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From: Graham Inggs <[email protected]>
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Subject: dask.distributed: autopkgtest failure with Python 3.14
To: Debian Bug Tracking System <[email protected]>
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Source: dask.distributed.
Version: 2024.12.1+ds-1
Severity: serious
Tags: forky sid
User: [email protected]
Usertags: python3.14

Hi maintainer

The autopkgtests of this package fail with Python 3.14 [1].  I've
copied what I hope is the relevant part of the log below.

Regards
Graham


[1] https://ci.debian.net/packages/d/dask.distributed/testing/amd64/


1724s =================================== FAILURES
===================================
1724s ________________ test_serialize_scipy_sparse[dtype1-bsr_matrix]
________________
1724s
1724s sparse_type = <class 'scipy.sparse._bsr.bsr_matrix'>, dtype = dtype('>f4')
1724s
1724s     @pytest.mark.parametrize(
1724s         "sparse_type",
1724s         [
1724s             scipy_sparse.bsr_matrix,
1724s             scipy_sparse.coo_matrix,
1724s             scipy_sparse.csc_matrix,
1724s             scipy_sparse.csr_matrix,
1724s             scipy_sparse.dia_matrix,
1724s             scipy_sparse.dok_matrix,
1724s             scipy_sparse.lil_matrix,
1724s         ],
1724s     )
1724s     @pytest.mark.parametrize(
1724s         "dtype",
1724s         [numpy.dtype("<f4"), numpy.dtype(">f4"),
numpy.dtype("<f8"), numpy.dtype(">f8")],
1724s     )
1724s     def test_serialize_scipy_sparse(sparse_type, dtype):
1724s         a = numpy.array([[0, 1, 0], [2, 0, 3], [0, 4, 0]], dtype=dtype)
1724s
1724s         anz = a.nonzero()
1724s >       acoo = scipy_sparse.coo_matrix((a[anz], anz))
1724s                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1724s
1724s /usr/lib/python3/dist-packages/distributed/protocol/tests/test_scipy.py:32:
1724s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _
1724s /usr/lib/python3/dist-packages/scipy/sparse/_coo.py:62: in __init__
1724s     self.data = getdata(obj, copy=copy, dtype=dtype)
1724s                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
1724s /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:150: in getdata
1724s     getdtype(data.dtype)
1724s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _
1724s
1724s dtype = dtype('>f4'), a = None, default = None
1724s
1724s     def getdtype(dtype, a=None, default=None):
1724s         """Form a supported numpy dtype based on input arguments.
1724s
1724s         Returns a valid ``numpy.dtype`` from `dtype` if not None,
1724s         or else ``a.dtype`` if possible, or else the given `default`
1724s         if not None, or else raise a ``TypeError``.
1724s
1724s         The resulting ``dtype`` must be in ``supported_dtypes``:
1724s             bool_, int8, uint8, int16, uint16, int32, uint32,
1724s             int64, uint64, longlong, ulonglong, float32, float64,
1724s             longdouble, complex64, complex128, clongdouble
1724s         """
1724s         if dtype is None:
1724s             try:
1724s                 newdtype = a.dtype
1724s             except AttributeError as e:
1724s                 if default is not None:
1724s                     newdtype = np.dtype(default)
1724s                 else:
1724s                     raise TypeError("could not interpret data
type") from e
1724s         else:
1724s             newdtype = np.dtype(dtype)
1724s
1724s         if newdtype not in supported_dtypes:
1724s             supported_dtypes_fmt = ", ".join(t.__name__ for t in
supported_dtypes)
1724s >           raise ValueError(f"scipy.sparse does not support
dtype {newdtype}. "
1724s                              f"The only supported types are:
{supported_dtypes_fmt}.")
1724s E           ValueError: scipy.sparse does not support dtype >f4.
The only supported types are: bool, int8, uint8, int16, uint16, int32,
uint32, int64, uint64, longlong, ulonglong, float32, float64,
longdouble, complex64, complex128, clongdouble.
1724s
1724s /usr/lib/python3/dist-packages/scipy/sparse/_sputils.py:137: ValueError

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Subject: Re: dask.distributed: autopkgtest failure with Python 3.14
From: Diane Trout <[email protected]>
To: [email protected]
Date: Mon, 03 Aug 2026 21:25:13 -0700
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Version 2024.12-1+ds-3
thanks

This version is building and running on Debian CI successfully with
Python 3.14
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