Package: src:xarray-sentinel Version: 0.9.5+ds-4 Severity: serious Tags: ftbfs forky sid
Dear maintainer: During a rebuild of all packages in unstable, your package failed to build. Below you will find how the build ends (probably the most relevant part, but not necessarily). If required, the full build log is available here: https://people.debian.org/~sanvila/build-logs/202509/ 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 could not 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:xarray-sentinel, 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:129: Building wheel for python3.13 with "build" module I: pybuild base:311: python3.13 -m build --skip-dependency-check --no-isolation --wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_xarray-sentinel * Building wheel... [... snipped ...] # Fast, but not safe for subclasses of ndarray, or object arrays, # which do not implement isnan (gh-9009), or fmin correctly (gh-8975) > res = np.fmin.reduce(a, axis=axis, out=out, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E ValueError: zero-size array to reduction operation fmin which has no identity /usr/lib/python3/dist-packages/numpy/lib/_nanfunctions_impl.py:357: ValueError ________________________ test_open_calibration_dataset _________________________ def test_open_calibration_dataset() -> None: annotation_path = ( DATA_FOLDER / "S1B_IW_SLC__1SDV_20210401T052622_20210401T052650_026269_032297_EFA4.SAFE" ) > res = xr.open_dataset( annotation_path, engine="sentinel-1", group="IW1/VV/calibration" ) ../../../tests/test_30_xarray_backends.py:222: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/xarray/backends/api.py:750: in open_dataset backend_ds = backend.open_dataset( xarray_sentinel/xarray_backends.py:22: in open_dataset ds = sentinel1.open_sentinel1_dataset( xarray_sentinel/sentinel1.py:991: in open_sentinel1_dataset ds = METADATA_OPENERS[metadata](file, attrs=common_attrs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ calibration = <fsspec.implementations.local.LocalFileOpener object at 0x7f7aefcee7d0> attrs = {'ascending_node_time': '2021-04-01T04:49:55.637823', 'family_name': 'SENTINEL-1', 'mode': 'IW', 'number': 'B', ...} def open_calibration_dataset( calibration: esa_safe.PathType, attrs: Dict[str, Any] = {} ) -> xr.Dataset: calibration_vectors = esa_safe.parse_tag_as_list( calibration, ".//calibrationVector", "calibration" ) azimuth_time_list = [] pixel_list = [] line_list = [] sigmaNought_list = [] betaNought_list = [] gamma_list = [] dn_list = [] for vector in calibration_vectors: azimuth_time_list.append(vector["azimuthTime"]) line_list.append(vector["line"]) pixel = np.fromstring(vector["pixel"]["$"], dtype=int, sep=" ") pixel_list.append(pixel) sigmaNought = np.fromstring( vector["sigmaNought"]["$"], dtype=np.float32, sep=" " ) sigmaNought_list.append(sigmaNought) betaNought = np.fromstring(vector["betaNought"]["$"], dtype=np.float32, sep=" ") betaNought_list.append(betaNought) gamma = np.fromstring(vector["gamma"]["$"], dtype=np.float32, sep=" ") gamma_list.append(gamma) dn = np.fromstring(vector["dn"]["$"], dtype=np.float32, sep=" ") dn_list.append(dn) pixel = np.array(pixel_list) > if (pixel - pixel[0]).any(): ^^^^^^^^ E IndexError: index 0 is out of bounds for axis 0 with size 0 xarray_sentinel/sentinel1.py:103: IndexError ____________________ test_open_pol_dataset_preferred_chunks ____________________ def test_open_pol_dataset_preferred_chunks() -> None: product_path = ( DATA_FOLDER / "S1B_IW_SLC__1SDV_20210401T052622_20210401T052650_026269_032297_EFA4.SAFE" ) > res = xr.open_dataset(product_path, engine="sentinel-1", > group="IW1/VV", chunks={}) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ../../../tests/test_35_xarray_backends_dask.py:16: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/xarray/backends/api.py:750: in open_dataset backend_ds = backend.open_dataset( xarray_sentinel/xarray_backends.py:22: in open_dataset ds = sentinel1.open_sentinel1_dataset( xarray_sentinel/sentinel1.py:979: in open_sentinel1_dataset gcp = open_gcp_dataset(annotation, attrs=common_attrs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ xarray_sentinel/sentinel1.py:271: in open_gcp_dataset footprint = get_footprint_linestring(ds.azimuth_time, ds.slant_range_time, ds) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ xarray_sentinel/sentinel1.py:285: in get_footprint_linestring azimuth_time_mm = [azimuth_time.min(), azimuth_time.max()] ^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/_aggregations.py:2899: in min return self.reduce( /usr/lib/python3/dist-packages/xarray/core/dataarray.py:3909: in reduce var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/variable.py:1762: in reduce result = super().reduce( /usr/lib/python3/dist-packages/xarray/namedarray/core.py:919: in reduce data = func(self.data, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/duck_array_ops.py:532: in f return func(values, axis=axis, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/computation/nanops.py:71: in nanmin return nputils.nanmin(a, axis=axis) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ /usr/lib/python3/dist-packages/xarray/core/nputils.py:242: in f result = getattr(npmodule, name)(values, axis=axis, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ a = array([], dtype=float64), axis = None, out = None, keepdims = <no value> initial = <no value>, where = <no value> @array_function_dispatch(_nanmin_dispatcher) def nanmin(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue, where=np._NoValue): """ Return minimum of an array or minimum along an axis, ignoring any NaNs. When all-NaN slices are encountered a ``RuntimeWarning`` is raised and Nan is returned for that slice. Parameters ---------- a : array_like Array containing numbers whose minimum is desired. If `a` is not an array, a conversion is attempted. axis : {int, tuple of int, None}, optional Axis or axes along which the minimum is computed. The default is to compute the minimum of the flattened array. out : ndarray, optional Alternate output array in which to place the result. The default is ``None``; if provided, it must have the same shape as the expected output, but the type will be cast if necessary. See :ref:`ufuncs-output-type` for more details. keepdims : bool, optional If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the original `a`. If the value is anything but the default, then `keepdims` will be passed through to the `min` method of sub-classes of `ndarray`. If the sub-classes methods does not implement `keepdims` any exceptions will be raised. initial : scalar, optional The maximum value of an output element. Must be present to allow computation on empty slice. See `~numpy.ufunc.reduce` for details. .. versionadded:: 1.22.0 where : array_like of bool, optional Elements to compare for the minimum. See `~numpy.ufunc.reduce` for details. .. versionadded:: 1.22.0 Returns ------- nanmin : ndarray An array with the same shape as `a`, with the specified axis removed. If `a` is a 0-d array, or if axis is None, an ndarray scalar is returned. The same dtype as `a` is returned. See Also -------- nanmax : The maximum value of an array along a given axis, ignoring any NaNs. amin : The minimum value of an array along a given axis, propagating any NaNs. fmin : Element-wise minimum of two arrays, ignoring any NaNs. minimum : Element-wise minimum of two arrays, propagating any NaNs. isnan : Shows which elements are Not a Number (NaN). isfinite: Shows which elements are neither NaN nor infinity. amax, fmax, maximum Notes ----- NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity. Positive infinity is treated as a very large number and negative infinity is treated as a very small (i.e. negative) number. If the input has a integer type the function is equivalent to np.min. Examples -------- >>> import numpy as np >>> a = np.array([[1, 2], [3, np.nan]]) >>> np.nanmin(a) 1.0 >>> np.nanmin(a, axis=0) array([1., 2.]) >>> np.nanmin(a, axis=1) array([1., 3.]) When positive infinity and negative infinity are present: >>> np.nanmin([1, 2, np.nan, np.inf]) 1.0 >>> np.nanmin([1, 2, np.nan, -np.inf]) -inf """ kwargs = {} if keepdims is not np._NoValue: kwargs['keepdims'] = keepdims if initial is not np._NoValue: kwargs['initial'] = initial if where is not np._NoValue: kwargs['where'] = where if type(a) is np.ndarray and a.dtype != np.object_: # Fast, but not safe for subclasses of ndarray, or object arrays, # which do not implement isnan (gh-9009), or fmin correctly (gh-8975) > res = np.fmin.reduce(a, axis=axis, out=out, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E ValueError: zero-size array to reduction operation fmin which has no identity /usr/lib/python3/dist-packages/numpy/lib/_nanfunctions_impl.py:357: ValueError =============================== warnings summary =============================== xarray_sentinel/esa_safe.py:7 /<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_xarray-sentinel/build/xarray_sentinel/esa_safe.py:7: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html import pkg_resources -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ FAILED ../../../tests/test_10_esa_safe.py::test_parse_tag - AssertionError: <... FAILED ../../../tests/test_10_esa_safe.py::test_parse_tag_as_list - IndexErro... FAILED ../../../tests/test_20_sentinel1.py::test_open_calibration_dataset - I... FAILED ../../../tests/test_20_sentinel1.py::test_open_noise_range_dataset - I... FAILED ../../../tests/test_20_sentinel1.py::test_open_noise_azimuth_dataset FAILED ../../../tests/test_20_sentinel1.py::test_open_coordinate_conversion_dataset FAILED ../../../tests/test_20_sentinel1.py::test_open_gcp_dataset - ValueErro... FAILED ../../../tests/test_20_sentinel1.py::test_get_footprint_linestring - V... FAILED ../../../tests/test_20_sentinel1.py::test_open_orbit_dataset - IndexEr... FAILED ../../../tests/test_20_sentinel1.py::test_open_dc_estimate_dataset - I... FAILED ../../../tests/test_20_sentinel1.py::test_open_azimuth_fm_rate_dataset FAILED ../../../tests/test_20_sentinel1.py::test_open_pol_dataset_iw - Assert... FAILED ../../../tests/test_20_sentinel1.py::test_open_pol_dataset_sm - Assert... FAILED ../../../tests/test_20_sentinel1.py::test_open_sentinel1_dataset - Ind... FAILED ../../../tests/test_20_sentinel1.py::test_open_dataset_virtual_groups FAILED ../../../tests/test_20_sentinel1.py::test_crop_burst_dataset - ValueEr... FAILED ../../../tests/test_20_sentinel1.py::test_crop_burst_dataset_gcp - Val... FAILED ../../../tests/test_20_sentinel1.py::test_calibrate_amplitude - ValueE... FAILED ../../../tests/test_20_sentinel1.py::test_calibrate_intensity - ValueE... FAILED ../../../tests/test_20_sentinel1.py::test_slant_range_time_to_ground_range FAILED ../../../tests/test_20_sentinel1.py::test_ground_range_to_slant_range_time FAILED ../../../tests/test_30_sentinel1_fsspec.py::test_open_dataset_zip_metadata FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_polarisation_slc[product_path0-IW1/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_polarisation_slc[product_path1-EW1/HH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_polarisation_slc[product_path2-S3/VH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_polarisation_grd[product_path0-IW/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path0-IW1/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path1-EW1/HH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path2-S3/VH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path3-IW/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_gcp[product_path0-IW1/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_gcp[product_path1-EW1/HH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_gcp[product_path2-S3/VH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_gcp[product_path3-IW/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path0-IW1/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path1-EW1/HH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path2-S3/VH] FAILED ../../../tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path3-IW/VV] FAILED ../../../tests/test_30_xarray_backends.py::test_open_pol_dataset - Val... FAILED ../../../tests/test_30_xarray_backends.py::test_burst_id_attribute - V... FAILED ../../../tests/test_30_xarray_backends.py::test_open_calibration_dataset FAILED ../../../tests/test_35_xarray_backends_dask.py::test_open_pol_dataset_preferred_chunks ====== 42 failed, 21 passed, 4 deselected, 1 xfailed, 1 warning in 4.96s ======= E: pybuild pybuild:389: test: plugin pyproject failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_xarray-sentinel/build; python3.13 -m pytest -k "not test_mosaic_slc_iw and not test_to_group_netcdf and not test_open_dataset_zip_data and not test_to_group_zarr" /<<PKGBUILDDIR>>/tests dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.13 returned exit code 13 make: *** [debian/rules:16: binary] Error 25 dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2 --------------------------------------------------------------------------------
