Your message dated Sat, 08 Feb 2025 20:42:56 +0000
with message-id <e1tgrfe-00804l...@fasolo.debian.org>
and subject line Bug#1095361: fixed in nxmx 0.0.4-1
has caused the Debian Bug report #1095361,
regarding nxmx: FTBFS: E AttributeError: `np.string_` was removed in
the NumPy 2.0 release.
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.
(NB: If you are a system administrator and have no idea what this
message is talking about, this may indicate a serious mail system
misconfiguration somewhere. Please contact ow...@bugs.debian.org
immediately.)
--
1095361: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1095361
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Package: src:nxmx
Version: 0.0.3-3
Severity: serious
Tags: ftbfs trixie sid
Dear maintainer:
During a rebuild of all packages in unstable, your package failed to build:
--------------------------------------------------------------------------------
[...]
debian/rules clean
dh clean --with python3 --buildsystem=pybuild
dh_auto_clean -O--buildsystem=pybuild
dh_autoreconf_clean -O--buildsystem=pybuild
dh_clean -O--buildsystem=pybuild
debian/rules binary
dh binary --with python3 --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:129: Building wheel for python3.12 with "build"
module
I: pybuild base:311: python3.12 -m build --skip-dependency-check --no-isolation
--wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.12_nxmx
* Building wheel...
[... snipped ...]
import numpy.distutils as distutils
return distutils
else:
raise AttributeError("`numpy.distutils` is not available from "
"Python 3.12 onwards", name=None)
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr], name=None)
if attr in __expired_attributes__:
> raise AttributeError(
f"`np.{attr}` was removed in the NumPy 2.0 release. "
f"{__expired_attributes__[attr]}",
name=None
)
E AttributeError: `np.string_` was removed in the NumPy 2.0 release.
Use `np.bytes_` instead.
/usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError
___________________ ERROR at setup of test_get_rotation_axes ___________________
@pytest.fixture
def nxmx_example():
with h5py.File(" ", mode="w", **pytest.h5_in_memory) as f:
entry = f.create_group("/entry")
entry.attrs["NX_class"] = "NXentry"
entry["definition"] = "NXmx"
entry["start_time"] = "2021-09-10T06:54:37Z"
entry["end_time"] = "2021-09-10T06:55:09Z"
entry["end_time_estimated"] = "2021-09-10T06:55:09Z"
source = entry.create_group("source")
source.attrs["NX_class"] = "NXsource"
source_name = source.create_dataset("name", data="Diamond")
source_name.attrs["short_name"] = "DLS"
instrument = entry.create_group("instrument")
instrument.attrs["NX_class"] = "NXinstrument"
name = instrument.create_dataset(
> "name", data=np.string_("DIAMOND BEAMLINE I03")
)
tests/conftest.py:31:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
attr = 'string_'
def __getattr__(attr):
# Warn for expired attributes
import warnings
if attr == "linalg":
import numpy.linalg as linalg
return linalg
elif attr == "fft":
import numpy.fft as fft
return fft
elif attr == "dtypes":
import numpy.dtypes as dtypes
return dtypes
elif attr == "random":
import numpy.random as random
return random
elif attr == "polynomial":
import numpy.polynomial as polynomial
return polynomial
elif attr == "ma":
import numpy.ma as ma
return ma
elif attr == "ctypeslib":
import numpy.ctypeslib as ctypeslib
return ctypeslib
elif attr == "exceptions":
import numpy.exceptions as exceptions
return exceptions
elif attr == "testing":
import numpy.testing as testing
return testing
elif attr == "matlib":
import numpy.matlib as matlib
return matlib
elif attr == "f2py":
import numpy.f2py as f2py
return f2py
elif attr == "typing":
import numpy.typing as typing
return typing
elif attr == "rec":
import numpy.rec as rec
return rec
elif attr == "char":
import numpy.char as char
return char
elif attr == "array_api":
raise AttributeError("`numpy.array_api` is not available from "
"numpy 2.0 onwards", name=None)
elif attr == "core":
import numpy.core as core
return core
elif attr == "strings":
import numpy.strings as strings
return strings
elif attr == "distutils":
if 'distutils' in __numpy_submodules__:
import numpy.distutils as distutils
return distutils
else:
raise AttributeError("`numpy.distutils` is not available from "
"Python 3.12 onwards", name=None)
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr], name=None)
if attr in __expired_attributes__:
> raise AttributeError(
f"`np.{attr}` was removed in the NumPy 2.0 release. "
f"{__expired_attributes__[attr]}",
name=None
)
E AttributeError: `np.string_` was removed in the NumPy 2.0 release.
Use `np.bytes_` instead.
/usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError
_________________ ERROR at setup of test_get_dependency_chain __________________
@pytest.fixture
def nxmx_example():
with h5py.File(" ", mode="w", **pytest.h5_in_memory) as f:
entry = f.create_group("/entry")
entry.attrs["NX_class"] = "NXentry"
entry["definition"] = "NXmx"
entry["start_time"] = "2021-09-10T06:54:37Z"
entry["end_time"] = "2021-09-10T06:55:09Z"
entry["end_time_estimated"] = "2021-09-10T06:55:09Z"
source = entry.create_group("source")
source.attrs["NX_class"] = "NXsource"
source_name = source.create_dataset("name", data="Diamond")
source_name.attrs["short_name"] = "DLS"
instrument = entry.create_group("instrument")
instrument.attrs["NX_class"] = "NXinstrument"
name = instrument.create_dataset(
> "name", data=np.string_("DIAMOND BEAMLINE I03")
)
tests/conftest.py:31:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
attr = 'string_'
def __getattr__(attr):
# Warn for expired attributes
import warnings
if attr == "linalg":
import numpy.linalg as linalg
return linalg
elif attr == "fft":
import numpy.fft as fft
return fft
elif attr == "dtypes":
import numpy.dtypes as dtypes
return dtypes
elif attr == "random":
import numpy.random as random
return random
elif attr == "polynomial":
import numpy.polynomial as polynomial
return polynomial
elif attr == "ma":
import numpy.ma as ma
return ma
elif attr == "ctypeslib":
import numpy.ctypeslib as ctypeslib
return ctypeslib
elif attr == "exceptions":
import numpy.exceptions as exceptions
return exceptions
elif attr == "testing":
import numpy.testing as testing
return testing
elif attr == "matlib":
import numpy.matlib as matlib
return matlib
elif attr == "f2py":
import numpy.f2py as f2py
return f2py
elif attr == "typing":
import numpy.typing as typing
return typing
elif attr == "rec":
import numpy.rec as rec
return rec
elif attr == "char":
import numpy.char as char
return char
elif attr == "array_api":
raise AttributeError("`numpy.array_api` is not available from "
"numpy 2.0 onwards", name=None)
elif attr == "core":
import numpy.core as core
return core
elif attr == "strings":
import numpy.strings as strings
return strings
elif attr == "distutils":
if 'distutils' in __numpy_submodules__:
import numpy.distutils as distutils
return distutils
else:
raise AttributeError("`numpy.distutils` is not available from "
"Python 3.12 onwards", name=None)
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr], name=None)
if attr in __expired_attributes__:
> raise AttributeError(
f"`np.{attr}` was removed in the NumPy 2.0 release. "
f"{__expired_attributes__[attr]}",
name=None
)
E AttributeError: `np.string_` was removed in the NumPy 2.0 release.
Use `np.bytes_` instead.
/usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError
_____________ ERROR at setup of test_get_cumulative_transformation _____________
@pytest.fixture
def nxmx_example():
with h5py.File(" ", mode="w", **pytest.h5_in_memory) as f:
entry = f.create_group("/entry")
entry.attrs["NX_class"] = "NXentry"
entry["definition"] = "NXmx"
entry["start_time"] = "2021-09-10T06:54:37Z"
entry["end_time"] = "2021-09-10T06:55:09Z"
entry["end_time_estimated"] = "2021-09-10T06:55:09Z"
source = entry.create_group("source")
source.attrs["NX_class"] = "NXsource"
source_name = source.create_dataset("name", data="Diamond")
source_name.attrs["short_name"] = "DLS"
instrument = entry.create_group("instrument")
instrument.attrs["NX_class"] = "NXinstrument"
name = instrument.create_dataset(
> "name", data=np.string_("DIAMOND BEAMLINE I03")
)
tests/conftest.py:31:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
attr = 'string_'
def __getattr__(attr):
# Warn for expired attributes
import warnings
if attr == "linalg":
import numpy.linalg as linalg
return linalg
elif attr == "fft":
import numpy.fft as fft
return fft
elif attr == "dtypes":
import numpy.dtypes as dtypes
return dtypes
elif attr == "random":
import numpy.random as random
return random
elif attr == "polynomial":
import numpy.polynomial as polynomial
return polynomial
elif attr == "ma":
import numpy.ma as ma
return ma
elif attr == "ctypeslib":
import numpy.ctypeslib as ctypeslib
return ctypeslib
elif attr == "exceptions":
import numpy.exceptions as exceptions
return exceptions
elif attr == "testing":
import numpy.testing as testing
return testing
elif attr == "matlib":
import numpy.matlib as matlib
return matlib
elif attr == "f2py":
import numpy.f2py as f2py
return f2py
elif attr == "typing":
import numpy.typing as typing
return typing
elif attr == "rec":
import numpy.rec as rec
return rec
elif attr == "char":
import numpy.char as char
return char
elif attr == "array_api":
raise AttributeError("`numpy.array_api` is not available from "
"numpy 2.0 onwards", name=None)
elif attr == "core":
import numpy.core as core
return core
elif attr == "strings":
import numpy.strings as strings
return strings
elif attr == "distutils":
if 'distutils' in __numpy_submodules__:
import numpy.distutils as distutils
return distutils
else:
raise AttributeError("`numpy.distutils` is not available from "
"Python 3.12 onwards", name=None)
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr], name=None)
if attr in __expired_attributes__:
> raise AttributeError(
f"`np.{attr}` was removed in the NumPy 2.0 release. "
f"{__expired_attributes__[attr]}",
name=None
)
E AttributeError: `np.string_` was removed in the NumPy 2.0 release.
Use `np.bytes_` instead.
/usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError
___________________ ERROR at setup of test_nxdetector_group ____________________
@pytest.fixture
def detector_group():
with h5py.File(" ", "w", **pytest.h5_in_memory) as f:
entry = f.create_group("entry")
entry.attrs["NX_class"] = "NXentry"
entry["definition"] = "NXmx"
instrument = entry.create_group("instrument")
instrument.attrs["NX_class"] = "NXinstrument"
group = instrument.create_group("detector_group")
group.attrs["NX_class"] = "NXdetector_group"
group.create_dataset(
"group_names",
> data=[np.string_(n) for n in ("DET", "DTL", "DTR", "DLL",
> "DLR")],
dtype="S12",
)
tests/test_nxmx.py:389:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
attr = 'string_'
def __getattr__(attr):
# Warn for expired attributes
import warnings
if attr == "linalg":
import numpy.linalg as linalg
return linalg
elif attr == "fft":
import numpy.fft as fft
return fft
elif attr == "dtypes":
import numpy.dtypes as dtypes
return dtypes
elif attr == "random":
import numpy.random as random
return random
elif attr == "polynomial":
import numpy.polynomial as polynomial
return polynomial
elif attr == "ma":
import numpy.ma as ma
return ma
elif attr == "ctypeslib":
import numpy.ctypeslib as ctypeslib
return ctypeslib
elif attr == "exceptions":
import numpy.exceptions as exceptions
return exceptions
elif attr == "testing":
import numpy.testing as testing
return testing
elif attr == "matlib":
import numpy.matlib as matlib
return matlib
elif attr == "f2py":
import numpy.f2py as f2py
return f2py
elif attr == "typing":
import numpy.typing as typing
return typing
elif attr == "rec":
import numpy.rec as rec
return rec
elif attr == "char":
import numpy.char as char
return char
elif attr == "array_api":
raise AttributeError("`numpy.array_api` is not available from "
"numpy 2.0 onwards", name=None)
elif attr == "core":
import numpy.core as core
return core
elif attr == "strings":
import numpy.strings as strings
return strings
elif attr == "distutils":
if 'distutils' in __numpy_submodules__:
import numpy.distutils as distutils
return distutils
else:
raise AttributeError("`numpy.distutils` is not available from "
"Python 3.12 onwards", name=None)
if attr in __future_scalars__:
# And future warnings for those that will change, but also give
# the AttributeError
warnings.warn(
f"In the future `np.{attr}` will be defined as the "
"corresponding NumPy scalar.", FutureWarning, stacklevel=2)
if attr in __former_attrs__:
raise AttributeError(__former_attrs__[attr], name=None)
if attr in __expired_attributes__:
> raise AttributeError(
f"`np.{attr}` was removed in the NumPy 2.0 release. "
f"{__expired_attributes__[attr]}",
name=None
)
E AttributeError: `np.string_` was removed in the NumPy 2.0 release.
Use `np.bytes_` instead.
/usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError
=============================== warnings summary ===============================
tests/test_nxmx.py::test_nxmx_single_value_properties[length-1 array]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_nxmx/build/nxmx/__init__.py:889:
DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is
deprecated, and will error in future. Ensure you extract a single element from
your array before performing this operation. (Deprecated NumPy 1.25.)
return int(self._handle["saturation_value"][()])
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
ERROR tests/test_nxmx.py::test_nxentry - AttributeError: `np.string_` was rem...
ERROR tests/test_nxmx.py::test_axis_end_increment_set - AttributeError: `np.s...
ERROR tests/test_nxmx.py::test_nxmx - AttributeError: `np.string_` was remove...
ERROR tests/test_nxmx.py::test_get_rotation_axes - AttributeError: `np.string...
ERROR tests/test_nxmx.py::test_get_dependency_chain - AttributeError: `np.str...
ERROR tests/test_nxmx.py::test_get_cumulative_transformation - AttributeError...
ERROR tests/test_nxmx.py::test_nxdetector_group - AttributeError: `np.string_...
==================== 8 passed, 1 warning, 7 errors in 0.43s ====================
E: pybuild pybuild:389: test: plugin pyproject failed with: exit code=1: cd
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_nxmx/build; python3.13 -m pytest tests
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.12
3.13" returned exit code 13
make: *** [debian/rules:5: binary] Error 25
dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2
--------------------------------------------------------------------------------
The above is just how the build ends and not necessarily the most relevant part.
If required, the full build log is available here:
https://people.debian.org/~sanvila/build-logs/202502/
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 could not 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:nxmx, so that this is still
visible in the BTS web page for this package.
Thanks.
--- End Message ---
--- Begin Message ---
Source: nxmx
Source-Version: 0.0.4-1
Done: Alexandre Detiste <tc...@debian.org>
We believe that the bug you reported is fixed in the latest version of
nxmx, 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 1095...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Alexandre Detiste <tc...@debian.org> (supplier of updated nxmx 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 ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Sat, 08 Feb 2025 20:39:18 +0100
Source: nxmx
Architecture: source
Version: 0.0.4-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Python Team <team+pyt...@tracker.debian.org>
Changed-By: Alexandre Detiste <tc...@debian.org>
Closes: 1095361
Changes:
nxmx (0.0.4-1) unstable; urgency=medium
.
* Team upload.
* New upstream version 0.0.4
* Build with Numpy 2.x (Closes: #1095361)
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