Package: src:python-ewoksdata Version: 0.6.0~rc0-5 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/202603/ 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-ewoksdata, 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 dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --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:142: Building wheel for python3.14 with "build" module I: pybuild base:385: python3.14 -m build --skip-dependency-check --no-isolation --wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.14 * Building wheel... /usr/lib/python3/dist-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. [... snipped ...] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ h5py/_debian_h5py_serial/_objects.pyx:54: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? h5py/_debian_h5py_serial/_objects.pyx:55: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/dataset.py:1107: in __setitem__ mspace = h5s.create_simple(selection.expand_shape(mshape)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <h5py._debian_h5py_serial._hl.selections.SimpleSelection object at 0x7fa3a19ba2d0> source_shape = (0,) def expand_shape(self, source_shape): """Match the dimensions of an array to be broadcast to the selection The returned shape describes an array of the same size as the input shape, but its dimensions E.g. with a dataset shape (10, 5, 4, 2), writing like this:: ds[..., 0] = np.ones((5, 4)) The source shape (5, 4) will expand to (1, 5, 4, 1). Then the broadcast method below repeats that chunk 10 times to write to an effective shape of (10, 5, 4, 1). """ start, count, step, scalar = self._sel rank = len(count) remaining_src_dims = list(source_shape) eshape = [] for idx in range(1, rank + 1): if len(remaining_src_dims) == 0 or scalar[-idx]: # Skip scalar axes eshape.append(1) else: t = remaining_src_dims.pop() if t == 1 or count[-idx] == t: eshape.append(t) else: > raise TypeError("Can't broadcast %s -> %s" % (source_shape, > self.array_shape)) # array shape ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E TypeError: Can't broadcast (0,) -> (0, 10, 20) /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/selections.py:265: TypeError _____________ test_stack_dataset_writer[False-False-False-0.1-3-4] _____________ tmpdir = local('/tmp/pytest-of-sbuild/pytest-1/test_stack_dataset_writer_Fals45') nstack = 4, npoints = 3, flush_period = 0.1, known_npoints = False known_nstack = False, append_stacks_in_parallel = False @pytest.mark.parametrize("nstack", (1, 4)) @pytest.mark.parametrize("npoints", (1, 3, 1000)) @pytest.mark.parametrize("flush_period", (None, 0.1)) @pytest.mark.parametrize("known_npoints", (True, False)) @pytest.mark.parametrize("known_nstack", (True, False)) @pytest.mark.parametrize("append_stacks_in_parallel", (True, False)) def test_stack_dataset_writer( tmpdir, nstack, npoints, flush_period, known_npoints, known_nstack, append_stacks_in_parallel, ): expected = [list() for _ in range(nstack)] filename = str(tmpdir / "test.h5") if flush_period is None: sleep_time = None else: sleep_time = flush_period + 0.1 isleep = (nstack * npoints) // 3 kwargs = {"flush_period": flush_period} if known_npoints: kwargs["npoints"] = npoints if known_nstack: kwargs["nstack"] = nstack if append_stacks_in_parallel: itpoints = itertools.product(range(npoints), range(nstack)) else: itpoints = itertools.product(range(nstack), range(npoints)) with h5py.File(filename, mode="w") as f: > with dataset_writer.StackDatasetWriter(f, "data", **kwargs) as > writer: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tests/test_dataset_writer.py:75: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ewoksdata/data/hdf5/dataset_writer.py:36: in __exit__ self.flush_buffer() ewoksdata/data/hdf5/dataset_writer.py:306: in flush_buffer self._dataset[i_dim0, istart_dim1 : istart_dim1 + n_dim1, ...] = ( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ h5py/_debian_h5py_serial/_objects.pyx:54: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? h5py/_debian_h5py_serial/_objects.pyx:55: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/dataset.py:1107: in __setitem__ mspace = h5s.create_simple(selection.expand_shape(mshape)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <h5py._debian_h5py_serial._hl.selections.SimpleSelection object at 0x7fa3a1540a70> source_shape = (0,) def expand_shape(self, source_shape): """Match the dimensions of an array to be broadcast to the selection The returned shape describes an array of the same size as the input shape, but its dimensions E.g. with a dataset shape (10, 5, 4, 2), writing like this:: ds[..., 0] = np.ones((5, 4)) The source shape (5, 4) will expand to (1, 5, 4, 1). Then the broadcast method below repeats that chunk 10 times to write to an effective shape of (10, 5, 4, 1). """ start, count, step, scalar = self._sel rank = len(count) remaining_src_dims = list(source_shape) eshape = [] for idx in range(1, rank + 1): if len(remaining_src_dims) == 0 or scalar[-idx]: # Skip scalar axes eshape.append(1) else: t = remaining_src_dims.pop() if t == 1 or count[-idx] == t: eshape.append(t) else: > raise TypeError("Can't broadcast %s -> %s" % (source_shape, > self.array_shape)) # array shape ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E TypeError: Can't broadcast (0,) -> (0, 10, 20) /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/selections.py:265: TypeError ___________ test_stack_dataset_writer[False-False-False-0.1-1000-4] ____________ tmpdir = local('/tmp/pytest-of-sbuild/pytest-1/test_stack_dataset_writer_Fals47') nstack = 4, npoints = 1000, flush_period = 0.1, known_npoints = False known_nstack = False, append_stacks_in_parallel = False @pytest.mark.parametrize("nstack", (1, 4)) @pytest.mark.parametrize("npoints", (1, 3, 1000)) @pytest.mark.parametrize("flush_period", (None, 0.1)) @pytest.mark.parametrize("known_npoints", (True, False)) @pytest.mark.parametrize("known_nstack", (True, False)) @pytest.mark.parametrize("append_stacks_in_parallel", (True, False)) def test_stack_dataset_writer( tmpdir, nstack, npoints, flush_period, known_npoints, known_nstack, append_stacks_in_parallel, ): expected = [list() for _ in range(nstack)] filename = str(tmpdir / "test.h5") if flush_period is None: sleep_time = None else: sleep_time = flush_period + 0.1 isleep = (nstack * npoints) // 3 kwargs = {"flush_period": flush_period} if known_npoints: kwargs["npoints"] = npoints if known_nstack: kwargs["nstack"] = nstack if append_stacks_in_parallel: itpoints = itertools.product(range(npoints), range(nstack)) else: itpoints = itertools.product(range(nstack), range(npoints)) with h5py.File(filename, mode="w") as f: > with dataset_writer.StackDatasetWriter(f, "data", **kwargs) as > writer: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tests/test_dataset_writer.py:75: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ewoksdata/data/hdf5/dataset_writer.py:36: in __exit__ self.flush_buffer() ewoksdata/data/hdf5/dataset_writer.py:306: in flush_buffer self._dataset[i_dim0, istart_dim1 : istart_dim1 + n_dim1, ...] = ( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ h5py/_debian_h5py_serial/_objects.pyx:54: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? h5py/_debian_h5py_serial/_objects.pyx:55: in h5py._debian_h5py_serial._objects.with_phil.wrapper ??? /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/dataset.py:1107: in __setitem__ mspace = h5s.create_simple(selection.expand_shape(mshape)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <h5py._debian_h5py_serial._hl.selections.SimpleSelection object at 0x7fa3a1490710> source_shape = (0,) def expand_shape(self, source_shape): """Match the dimensions of an array to be broadcast to the selection The returned shape describes an array of the same size as the input shape, but its dimensions E.g. with a dataset shape (10, 5, 4, 2), writing like this:: ds[..., 0] = np.ones((5, 4)) The source shape (5, 4) will expand to (1, 5, 4, 1). Then the broadcast method below repeats that chunk 10 times to write to an effective shape of (10, 5, 4, 1). """ start, count, step, scalar = self._sel rank = len(count) remaining_src_dims = list(source_shape) eshape = [] for idx in range(1, rank + 1): if len(remaining_src_dims) == 0 or scalar[-idx]: # Skip scalar axes eshape.append(1) else: t = remaining_src_dims.pop() if t == 1 or count[-idx] == t: eshape.append(t) else: > raise TypeError("Can't broadcast %s -> %s" % (source_shape, > self.array_shape)) # array shape ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E TypeError: Can't broadcast (0,) -> (0, 10, 20) /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/selections.py:265: TypeError =========================== short test summary info ============================ FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-None-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-None-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-None-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-True-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-False-None-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-False-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-True-False-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-True-None-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-True-None-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-True-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-True-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-True-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[True-False-False-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-None-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-None-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-None-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-True-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-False-None-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-False-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-False-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-True-False-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-None-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-None-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-None-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-True-0.1-1000-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-False-0.1-1-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-False-0.1-3-4] FAILED tests/test_dataset_writer.py::test_stack_dataset_writer[False-False-False-0.1-1000-4] ======================== 34 failed, 78 passed in 28.85s ======================== E: pybuild pybuild:485: test: plugin pyproject failed with: exit code=1: cd '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13/build'; python3.13 -m pytest tests/test_contextiterator.py tests/test_data_hdf5.py tests/test_data_nexus.py tests/test_dataset_writer.py dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.14 3.13" --parallel=2 returned exit code 13 make: *** [debian/rules:6: binary] Error 25 dpkg-buildpackage: error: debian/rules binary subprocess failed with exit status 2 --------------------------------------------------------------------------------
