--- Begin Message ---
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
--------------------------------------------------------------------------------
--- End Message ---
pgp1lOUg9CFF9.pgp
