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
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1125022: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1125022
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--- Begin Message ---
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
--- End Message ---
--- Begin Message ---
Version 2024.12-1+ds-3
thanks
This version is building and running on Debian CI successfully with
Python 3.14
--- End Message ---