Package: src:sarsen Version: 0.9.5+ds-1 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/202512/ 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:sarsen, 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:131: Building wheel for python3.14 with "build" module I: pybuild base:317: python3.14 -m build --skip-dependency-check --no-isolation --wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.14 * Building wheel... /usr/lib/python3/dist-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated [... snipped ...] """ dims: dict[Hashable, int] = {} last_used = {} scalar_vars = {k for k, v in variables.items() if not v.dims} for k, var in variables.items(): for dim, size in zip(var.dims, var.shape, strict=True): if dim in scalar_vars: raise ValueError( f"dimension {dim!r} already exists as a scalar variable" ) if dim not in dims: dims[dim] = size last_used[dim] = k elif dims[dim] != size: > raise ValueError( f"conflicting sizes for dimension {dim!r}: " f"length {size} on {k!r} and length {dims[dim]} on {last_used!r}" ) E ValueError: conflicting sizes for dimension 'y': length 0 on <this-array> and length 360 on {'x': 'x', 'y': 'y'} /usr/lib/python3/dist-packages/xarray/core/variable.py:3143: ValueError =================================== FAILURES =================================== ____________________________ test_convert_to_dem_3d ____________________________ dem_raster = <xarray.DataArray 'dem' (y: 0, x: 360)> Size: 0B [0 values with dtype=float32] Coordinates: * y (y) float... spatial_ref int64 8B ... Attributes: AREA_OR_POINT: Area units: m long_name: elevation def test_convert_to_dem_3d(dem_raster: xr.DataArray) -> None: > res = scene.convert_to_dem_3d(dem_raster) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tests/test_10_scene.py:9: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sarsen/scene.py:42: in convert_to_dem_3d _, dem_raster_x = xr.broadcast(dem_raster, dem_raster.coords[x].astype(dtype)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/structure/alignment.py:1297: in broadcast args = align(*args, join="outer", copy=False, exclude=exclude) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/structure/alignment.py:967: in align aligner.align() /usr/lib/python3/dist-packages/xarray/structure/alignment.py:667: in align self.reindex_all() /usr/lib/python3/dist-packages/xarray/structure/alignment.py:638: in reindex_all self.results = tuple( /usr/lib/python3/dist-packages/xarray/structure/alignment.py:627: in _reindex_one return obj._reindex_callback( /usr/lib/python3/dist-packages/xarray/core/dataarray.py:1968: in _reindex_callback ds = self._to_temp_dataset() ^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:582: in _to_temp_dataset return self._to_dataset_whole(name=_THIS_ARRAY, shallow_copy=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:649: in _to_dataset_whole return Dataset._construct_direct(variables, coord_names, indexes=indexes) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataset.py:853: in _construct_direct dims = calculate_dimensions(variables) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ variables = {'x': <xarray.IndexVariable 'x' (x: 360)> Size: 3kB array([12.45 , 12.450278, 12.450556, ..., 12.549167, 12.549444,...[0 values with dtype=float32] Attributes: AREA_OR_POINT: Area units: m long_name: elevation} def calculate_dimensions(variables: Mapping[Any, Variable]) -> dict[Hashable, int]: """Calculate the dimensions corresponding to a set of variables. Returns dictionary mapping from dimension names to sizes. Raises ValueError if any of the dimension sizes conflict. """ dims: dict[Hashable, int] = {} last_used = {} scalar_vars = {k for k, v in variables.items() if not v.dims} for k, var in variables.items(): for dim, size in zip(var.dims, var.shape, strict=True): if dim in scalar_vars: raise ValueError( f"dimension {dim!r} already exists as a scalar variable" ) if dim not in dims: dims[dim] = size last_used[dim] = k elif dims[dim] != size: > raise ValueError( f"conflicting sizes for dimension {dim!r}: " f"length {size} on {k!r} and length {dims[dim]} on {last_used!r}" ) E ValueError: conflicting sizes for dimension 'y': length 0 on <this-array> and length 360 on {'x': 'x', 'y': 'y'} /usr/lib/python3/dist-packages/xarray/core/variable.py:3143: ValueError ________________________________ test_upsample _________________________________ dem_raster = <xarray.DataArray 'dem' (y: 0, x: 360)> Size: 0B [0 values with dtype=float32] Coordinates: * y (y) float... spatial_ref int64 8B ... Attributes: AREA_OR_POINT: Area units: m long_name: elevation def test_upsample(dem_raster: xr.DataArray) -> None: > res = scene.upsample(dem_raster, x=2) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tests/test_10_scene.py:39: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sarsen/scene.py:103: in upsample return data.interp(coords, kwargs={"fill_value": "extrapolate"}) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:2414: in interp ds = self._to_temp_dataset().interp( ^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:582: in _to_temp_dataset return self._to_dataset_whole(name=_THIS_ARRAY, shallow_copy=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:649: in _to_dataset_whole return Dataset._construct_direct(variables, coord_names, indexes=indexes) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataset.py:853: in _construct_direct dims = calculate_dimensions(variables) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ variables = {'x': <xarray.IndexVariable 'x' (x: 360)> Size: 3kB array([12.45 , 12.450278, 12.450556, ..., 12.549167, 12.549444,...[0 values with dtype=float32] Attributes: AREA_OR_POINT: Area units: m long_name: elevation} def calculate_dimensions(variables: Mapping[Any, Variable]) -> dict[Hashable, int]: """Calculate the dimensions corresponding to a set of variables. Returns dictionary mapping from dimension names to sizes. Raises ValueError if any of the dimension sizes conflict. """ dims: dict[Hashable, int] = {} last_used = {} scalar_vars = {k for k, v in variables.items() if not v.dims} for k, var in variables.items(): for dim, size in zip(var.dims, var.shape, strict=True): if dim in scalar_vars: raise ValueError( f"dimension {dim!r} already exists as a scalar variable" ) if dim not in dims: dims[dim] = size last_used[dim] = k elif dims[dim] != size: > raise ValueError( f"conflicting sizes for dimension {dim!r}: " f"length {size} on {k!r} and length {dims[dim]} on {last_used!r}" ) E ValueError: conflicting sizes for dimension 'y': length 0 on <this-array> and length 360 on {'x': 'x', 'y': 'y'} /usr/lib/python3/dist-packages/xarray/core/variable.py:3143: ValueError ________________________ test_compute_dem_oriented_area ________________________ dem_raster = <xarray.DataArray 'dem' (y: 0, x: 360)> Size: 0B [0 values with dtype=float32] Coordinates: * y (y) float... spatial_ref int64 8B ... Attributes: AREA_OR_POINT: Area units: m long_name: elevation def test_compute_dem_oriented_area(dem_raster: xr.DataArray) -> None: > dem_3d = scene.convert_to_dem_3d(dem_raster) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tests/test_10_scene.py:46: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ sarsen/scene.py:42: in convert_to_dem_3d _, dem_raster_x = xr.broadcast(dem_raster, dem_raster.coords[x].astype(dtype)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/structure/alignment.py:1297: in broadcast args = align(*args, join="outer", copy=False, exclude=exclude) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/structure/alignment.py:967: in align aligner.align() /usr/lib/python3/dist-packages/xarray/structure/alignment.py:667: in align self.reindex_all() /usr/lib/python3/dist-packages/xarray/structure/alignment.py:638: in reindex_all self.results = tuple( /usr/lib/python3/dist-packages/xarray/structure/alignment.py:627: in _reindex_one return obj._reindex_callback( /usr/lib/python3/dist-packages/xarray/core/dataarray.py:1968: in _reindex_callback ds = self._to_temp_dataset() ^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:582: in _to_temp_dataset return self._to_dataset_whole(name=_THIS_ARRAY, shallow_copy=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataarray.py:649: in _to_dataset_whole return Dataset._construct_direct(variables, coord_names, indexes=indexes) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/dataset.py:853: in _construct_direct dims = calculate_dimensions(variables) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ variables = {'x': <xarray.IndexVariable 'x' (x: 360)> Size: 3kB array([12.45 , 12.450278, 12.450556, ..., 12.549167, 12.549444,...[0 values with dtype=float32] Attributes: AREA_OR_POINT: Area units: m long_name: elevation} def calculate_dimensions(variables: Mapping[Any, Variable]) -> dict[Hashable, int]: """Calculate the dimensions corresponding to a set of variables. Returns dictionary mapping from dimension names to sizes. Raises ValueError if any of the dimension sizes conflict. """ dims: dict[Hashable, int] = {} last_used = {} scalar_vars = {k for k, v in variables.items() if not v.dims} for k, var in variables.items(): for dim, size in zip(var.dims, var.shape, strict=True): if dim in scalar_vars: raise ValueError( f"dimension {dim!r} already exists as a scalar variable" ) if dim not in dims: dims[dim] = size last_used[dim] = k elif dims[dim] != size: > raise ValueError( f"conflicting sizes for dimension {dim!r}: " f"length {size} on {k!r} and length {dims[dim]} on {last_used!r}" ) E ValueError: conflicting sizes for dimension 'y': length 0 on <this-array> and length 360 on {'x': 'x', 'y': 'y'} /usr/lib/python3/dist-packages/xarray/core/variable.py:3143: ValueError =============================== warnings summary =============================== tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path1-IW1/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path1-IW1/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path1-IW1/VV] tests/test_20_sentinel1.py::test_product_info /usr/lib/python3/dist-packages/xarray_sentinel/sentinel1.py:411: DeprecationWarning: Arrays of 2-dimensional vectors are deprecated. Use arrays of 3-dimensional vectors instead. (deprecated in NumPy 2.0) return float(np.cross(poly[1] - start, poly[2] - start)) < 0 tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] tests/test_20_sentinel1.py::test_Sentinel1SarProduct[data_path0-IW/VV] /usr/lib/python3/dist-packages/rioxarray/_io.py:1143: NotGeoreferencedWarning: Dataset has no geotransform, gcps, or rpcs. The identity matrix will be returned. warnings.warn(str(rio_warning.message), type(rio_warning.message)) # type: ignore -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ FAILED tests/test_10_scene.py::test_convert_to_dem_3d - ValueError: conflicti... FAILED tests/test_10_scene.py::test_upsample - ValueError: conflicting sizes ... FAILED tests/test_10_scene.py::test_compute_dem_oriented_area - ValueError: c... ERROR tests/test_20_geocoding.py::test_zero_doppler_plane_distance_velocity ERROR tests/test_20_geocoding.py::test_backward_geocode - ValueError: conflic... ERROR tests/test_30_radiometry.py::test_compute_gamma_area - ValueError: conf... = 3 failed, 15 passed, 12 skipped, 1 xfailed, 1 xpassed, 10 warnings, 3 errors in 10.85s = E: pybuild pybuild:389: test: plugin pyproject failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.13/build; python3.13 -m pytest tests dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.14 3.13" returned exit code 13 make: *** [debian/rules:12: binary] Error 25 dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2 --------------------------------------------------------------------------------
