Source: python-epimodels Version: 0.3.20-1 Severity: serious Justification: FTBFS Tags: bookworm sid ftbfs User: lu...@debian.org Usertags: ftbfs-20211220 ftbfs-bookworm
Hi, During a rebuild of all packages in sid, your package failed to build on amd64. Relevant part (hopefully): > make[1]: Entering directory '/<<PKGBUILDDIR>>' > dh_auto_test > I: pybuild base:237: cd > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_epimodels/build; python3.10 -m pytest > tests > ============================= test session starts > ============================== > platform linux -- Python 3.10.1, pytest-6.2.5, py-1.10.0, pluggy-0.13.0 > rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg > plugins: cov-3.0.0 > collected 11 items / 1 error / 10 selected > > ==================================== ERRORS > ==================================== > _ ERROR collecting > .pybuild/cpython3_3.10_epimodels/build/tests/test_continuous_models.py _ > ImportError while importing test module > '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_epimodels/build/tests/test_continuous_models.py'. > Hint: make sure your test modules/packages have valid Python names. > Traceback: > /usr/lib/python3/dist-packages/numba/core/typeconv/typeconv.py:4: in <module> > from numba.core.typeconv import _typeconv > E ImportError: cannot import name '_typeconv' from 'numba.core.typeconv' > (/usr/lib/python3/dist-packages/numba/core/typeconv/__init__.py) > > During handling of the above exception, another exception occurred: > /usr/lib/python3.10/importlib/__init__.py:126: in import_module > return _bootstrap._gcd_import(name[level:], package, level) > tests/test_continuous_models.py:8: in <module> > from epimodels.continuous.models import * > epimodels/continuous/models.py:12: in <module> > import numba > /usr/lib/python3/dist-packages/numba/__init__.py:24: in <module> > from numba.misc.special import ( > /usr/lib/python3/dist-packages/numba/misc/special.py:3: in <module> > from numba.core.typing.typeof import typeof > /usr/lib/python3/dist-packages/numba/core/typing/__init__.py:1: in <module> > from .context import BaseContext, Context > /usr/lib/python3/dist-packages/numba/core/typing/context.py:11: in <module> > from numba.core.typeconv import Conversion, rules > /usr/lib/python3/dist-packages/numba/core/typeconv/rules.py:2: in <module> > from .typeconv import TypeManager, TypeCastingRules > /usr/lib/python3/dist-packages/numba/core/typeconv/typeconv.py:17: in <module> > raise ImportError(msg % (url, reportme, str(e), sys.executable)) > E ImportError: Numba could not be imported. > E If you are seeing this message and are undertaking Numba development > work, you may need to re-run: > E > E python setup.py build_ext --inplace > E > E (Also, please check the development set up guide > https://numba.pydata.org/numba-doc/latest/developer/contributing.html.) > E > E If you are not working on Numba development: > E > E Please report the error message and traceback, along with a minimal > reproducer > E at: https://github.com/numba/numba/issues/new > E > E If more help is needed please feel free to speak to the Numba core > developers > E directly at: https://gitter.im/numba/numba > E > E Thanks in advance for your help in improving Numba! > E > E The original error was: 'cannot import name '_typeconv' from > 'numba.core.typeconv' > (/usr/lib/python3/dist-packages/numba/core/typeconv/__init__.py)' > E > -------------------------------------------------------------------------------- > E If possible please include the following in your error report: > E > E sys.executable: /usr/bin/python3.10 > =============================== warnings summary > =============================== > ../../../../../../usr/lib/python3/dist-packages/numba/core/types/__init__.py:108 > /usr/lib/python3/dist-packages/numba/core/types/__init__.py:108: > DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To > silence this warning, use `np.compat.long` by itself. In the likely event > your code does not need to work on Python 2 you can use the builtin `int` for > which `np.compat.long` is itself an alias. Doing this will not modify any > behaviour and is safe. When replacing `np.long`, you may wish to use e.g. > `np.int64` or `np.int32` to specify the precision. If you wish to review your > current use, check the release note link for additional information. > Deprecated in NumPy 1.20; for more details and guidance: > https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations > long_ = _make_signed(np.long) > > ../../../../../../usr/lib/python3/dist-packages/numba/core/types/__init__.py:109 > /usr/lib/python3/dist-packages/numba/core/types/__init__.py:109: > DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To > silence this warning, use `np.compat.long` by itself. In the likely event > your code does not need to work on Python 2 you can use the builtin `int` for > which `np.compat.long` is itself an alias. Doing this will not modify any > behaviour and is safe. When replacing `np.long`, you may wish to use e.g. > `np.int64` or `np.int32` to specify the precision. If you wish to review your > current use, check the release note link for additional information. > Deprecated in NumPy 1.20; for more details and guidance: > https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations > ulong = _make_unsigned(np.long) > > -- Docs: https://docs.pytest.org/en/stable/warnings.html > =========================== short test summary info > ============================ > ERROR tests/test_continuous_models.py > !!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection > !!!!!!!!!!!!!!!!!!!! > ========================= 2 warnings, 1 error in 0.82s > ========================= > E: pybuild pybuild:355: test: plugin distutils failed with: exit code=2: cd > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.10_epimodels/build; python3.10 -m pytest > tests > I: pybuild base:237: cd > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build; python3.9 -m pytest > tests > ============================= test session starts > ============================== > platform linux -- Python 3.9.9, pytest-6.2.5, py-1.10.0, pluggy-0.13.0 > rootdir: /<<PKGBUILDDIR>>, configfile: setup.cfg > plugins: cov-3.0.0 > collected 17 items > > tests/test_continuous_models.py ...... [ > 35%] > tests/test_discrete_models.py ........... > [100%] > > =============================== warnings summary > =============================== > ../../../../../../usr/lib/python3/dist-packages/numba/core/types/__init__.py:108 > /usr/lib/python3/dist-packages/numba/core/types/__init__.py:108: > DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To > silence this warning, use `np.compat.long` by itself. In the likely event > your code does not need to work on Python 2 you can use the builtin `int` for > which `np.compat.long` is itself an alias. Doing this will not modify any > behaviour and is safe. When replacing `np.long`, you may wish to use e.g. > `np.int64` or `np.int32` to specify the precision. If you wish to review your > current use, check the release note link for additional information. > Deprecated in NumPy 1.20; for more details and guidance: > https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations > long_ = _make_signed(np.long) > > ../../../../../../usr/lib/python3/dist-packages/numba/core/types/__init__.py:109 > /usr/lib/python3/dist-packages/numba/core/types/__init__.py:109: > DeprecationWarning: `np.long` is a deprecated alias for `np.compat.long`. To > silence this warning, use `np.compat.long` by itself. In the likely event > your code does not need to work on Python 2 you can use the builtin `int` for > which `np.compat.long` is itself an alias. Doing this will not modify any > behaviour and is safe. When replacing `np.long`, you may wish to use e.g. > `np.int64` or `np.int32` to specify the precision. If you wish to review your > current use, check the release note link for additional information. > Deprecated in NumPy 1.20; for more details and guidance: > https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations > ulong = _make_unsigned(np.long) > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIR > > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py:63: > NumbaWarning: > Compilation is falling back to object mode WITH looplifting enabled because > Function "_model" failed type inference due to: non-precise type pyobject > During: typing of argument at > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py > (72) > > File "epimodels/continuous/models.py", line 72: > def _model(self, t: float, y: list, params: dict) -> list: > <source elided> > """ > S, I, R = y > ^ > > @numba.jit > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:151: > NumbaWarning: Function "_model" was compiled in object mode without > forceobj=True. > > File "epimodels/continuous/models.py", line 64: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaWarning(warn_msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:161: > NumbaDeprecationWarning: > Fall-back from the nopython compilation path to the object mode compilation > path has been detected, this is deprecated behaviour. > > For more information visit > https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit > > File "epimodels/continuous/models.py", line 64: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaDeprecationWarning(msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIS > > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py:89: > NumbaWarning: > Compilation is falling back to object mode WITH looplifting enabled because > Function "_model" failed type inference due to: non-precise type pyobject > During: typing of argument at > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py > (98) > > File "epimodels/continuous/models.py", line 98: > def _model(self, t: float, y: list, params: dict) -> list: > <source elided> > """ > S, I = y > ^ > > @numba.jit > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIS > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:151: > NumbaWarning: Function "_model" was compiled in object mode without > forceobj=True. > > File "epimodels/continuous/models.py", line 90: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaWarning(warn_msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIS > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:161: > NumbaDeprecationWarning: > Fall-back from the nopython compilation path to the object mode compilation > path has been detected, this is deprecated behaviour. > > For more information visit > https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit > > File "epimodels/continuous/models.py", line 90: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaDeprecationWarning(msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIRS > > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py:113: > NumbaWarning: > Compilation is falling back to object mode WITH looplifting enabled because > Function "_model" failed type inference due to: non-precise type pyobject > During: typing of argument at > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py > (122) > > File "epimodels/continuous/models.py", line 122: > def _model(self, t: float, y: list, params: dict) -> list: > <source elided> > """ > S, I, R = y > ^ > > @numba.jit > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIRS > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:151: > NumbaWarning: Function "_model" was compiled in object mode without > forceobj=True. > > File "epimodels/continuous/models.py", line 114: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaWarning(warn_msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SIRS > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:161: > NumbaDeprecationWarning: > Fall-back from the nopython compilation path to the object mode compilation > path has been detected, this is deprecated behaviour. > > For more information visit > https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit > > File "epimodels/continuous/models.py", line 114: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaDeprecationWarning(msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEIR > > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py:138: > NumbaWarning: > Compilation is falling back to object mode WITH looplifting enabled because > Function "_model" failed type inference due to: non-precise type pyobject > During: typing of argument at > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py > (140) > > File "epimodels/continuous/models.py", line 140: > def _model(self, t: float, y: list, params: dict) -> list: > S, E, I, R = y > ^ > > @numba.jit > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEIR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:151: > NumbaWarning: Function "_model" was compiled in object mode without > forceobj=True. > > File "epimodels/continuous/models.py", line 139: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaWarning(warn_msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEIR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:161: > NumbaDeprecationWarning: > Fall-back from the nopython compilation path to the object mode compilation > path has been detected, this is deprecated behaviour. > > For more information visit > https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit > > File "epimodels/continuous/models.py", line 139: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaDeprecationWarning(msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEQIAHR > > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py:163: > NumbaWarning: > Compilation is falling back to object mode WITH looplifting enabled because > Function "_model" failed type inference due to: non-precise type pyobject > During: typing of argument at > /<<PKGBUILDDIR>>/.pybuild/cpython3_3.9_epimodels/build/epimodels/continuous/models.py > (165) > > File "epimodels/continuous/models.py", line 165: > def _model(self, t: float, y: list, params: dict) -> list: > S, E, I, A, H, R, C, D = y > ^ > > @numba.jit > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEQIAHR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:151: > NumbaWarning: Function "_model" was compiled in object mode without > forceobj=True. > > File "epimodels/continuous/models.py", line 164: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaWarning(warn_msg, > > .pybuild/cpython3_3.9_epimodels/build/tests/test_continuous_models.py::test_SEQIAHR > /usr/lib/python3/dist-packages/numba/core/object_mode_passes.py:161: > NumbaDeprecationWarning: > Fall-back from the nopython compilation path to the object mode compilation > path has been detected, this is deprecated behaviour. > > For more information visit > https://numba.pydata.org/numba-doc/latest/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit > > File "epimodels/continuous/models.py", line 164: > @numba.jit > def _model(self, t: float, y: list, params: dict) -> list: > ^ > > warnings.warn(errors.NumbaDeprecationWarning(msg, > > -- Docs: https://docs.pytest.org/en/stable/warnings.html > ======================= 17 passed, 17 warnings in 1.95s > ======================== > dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.10 > 3.9" returned exit code 13 The full build log is available from: http://qa-logs.debian.net/2021/12/20/python-epimodels_0.3.20-1_unstable.log A list of current common problems and possible solutions is available at http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute! If you reassign this bug to another package, please marking it as 'affects'-ing this package. See https://www.debian.org/Bugs/server-control#affects If you fail to reproduce this, please provide a build log and diff it with mine so that we can identify if something relevant changed in the meantime.
