Package: src:python-cykhash Version: 2.0.0-3 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-cykhash, 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 I: pybuild base:385: python3.14 setup.py clean performance hint: src/cykhash/sets/set_impl.pxi:17:0: Exception check on '_dealloc_int64' will always require the GIL to be acquired. Possible solutions: 1. Declare '_dealloc_int64' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on '_dealloc_int64' to allow an error code to be returned. performance hint: src/cykhash/sets/set_impl.pxi:26:0: Exception check on '_add_int64' will always require the GIL to be acquired. Possible solutions: 1. Declare '_add_int64' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on '_add_int64' to allow an error code to be returned. performance hint: src/cykhash/sets/set_impl.pxi:34:0: Exception check on '_discard_int64' will always require the GIL to be acquired. Possible solutions: 1. Declare '_discard_int64' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. [... snipped ...] 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 ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError(f"module {__name__!r} has no attribute {attr!r}") E AttributeError: module 'numpy' has no attribute 'in1d'. Did you mean: 'int16'? /usr/lib/python3/dist-packages/numpy/__init__.py:792: AttributeError __________________________ test_isin_random[float32] ___________________________ value_type = 'float32' @pytest.mark.parametrize( "value_type", ['int64', 'int32', 'float64', 'float32', 'pyobject'] ) def test_isin_random(value_type): np.random.seed(42) NMAX = 10000 for _ in range(50): n = np.random.randint(500, 2000,1)[0] values = np.random.randint(0, NMAX, n).astype(NPTYPE[value_type]) s=FROM_BUFFER_SET[value_type](values, .1) query = np.arange(NMAX).astype(NPTYPE[value_type]) > expected = np.in1d(query, values) ^^^^^^^ tests/unit_tests/test_isin_random.py:29: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'in1d' 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 ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError(f"module {__name__!r} has no attribute {attr!r}") E AttributeError: module 'numpy' has no attribute 'in1d'. Did you mean: 'int16'? /usr/lib/python3/dist-packages/numpy/__init__.py:792: AttributeError __________________________ test_isin_random[pyobject] __________________________ value_type = 'pyobject' @pytest.mark.parametrize( "value_type", ['int64', 'int32', 'float64', 'float32', 'pyobject'] ) def test_isin_random(value_type): np.random.seed(42) NMAX = 10000 for _ in range(50): n = np.random.randint(500, 2000,1)[0] values = np.random.randint(0, NMAX, n).astype(NPTYPE[value_type]) s=FROM_BUFFER_SET[value_type](values, .1) query = np.arange(NMAX).astype(NPTYPE[value_type]) > expected = np.in1d(query, values) ^^^^^^^ tests/unit_tests/test_isin_random.py:29: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'in1d' 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 ) if attr == "chararray": warnings.warn( "`np.chararray` is deprecated and will be removed from " "the main namespace in the future. Use an array with a string " "or bytes dtype instead.", DeprecationWarning, stacklevel=2) import numpy.char as char return char.chararray > raise AttributeError(f"module {__name__!r} has no attribute {attr!r}") E AttributeError: module 'numpy' has no attribute 'in1d'. Did you mean: 'int16'? /usr/lib/python3/dist-packages/numpy/__init__.py:792: AttributeError =========================== short test summary info ============================ FAILED tests/unit_tests/test_isin_random.py::test_isin_random[int64] - Attrib... FAILED tests/unit_tests/test_isin_random.py::test_isin_random[int32] - Attrib... FAILED tests/unit_tests/test_isin_random.py::test_isin_random[float64] - Attr... FAILED tests/unit_tests/test_isin_random.py::test_isin_random[float32] - Attr... FAILED tests/unit_tests/test_isin_random.py::test_isin_random[pyobject] - Att... ======================== 5 failed, 1525 passed in 1.00s ======================== E: pybuild pybuild:485: test: plugin custom failed with: exit code=1: PYTHONPATH=/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_cykhash/build python3.13 -m pytest -v tests/unit_tests --ignore tests/unit_tests/test_unique.py --ignore tests/unit_tests/test_CythonInterfaceSets.py --ignore tests/unit_tests/test_CythonInterfaceMaps.py dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.14 3.13" --system=custom --test-args="PYTHONPATH={build_dir} {interpreter} -m pytest -v tests/unit_tests --ignore tests/unit_tests/test_unique.py --ignore tests/unit_tests/test_CythonInterfaceSets.py --ignore tests/unit_tests/test_CythonInterfaceMaps.py" --parallel=2 returned exit code 13 make[1]: *** [debian/rules:12: override_dh_auto_test] Error 25 make[1]: Leaving directory '/<<PKGBUILDDIR>>' make: *** [debian/rules:8: binary] Error 2 dpkg-buildpackage: error: debian/rules binary subprocess failed with exit status 2 --------------------------------------------------------------------------------
