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We are having the following error in debian/sid.
I did not investigate but probably the issue is linked to the use or recent versions of some of the dependencies (maybe fsspec itself).
python3.11 -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
============================= test session starts ==============================
platform linux -- Python 3.11.4, pytest-7.4.0, pluggy-1.2.0
rootdir: /<<PKGBUILDDIR>>
collected 68 items / 4 deselected / 64 selected
../../../tests/test_10_esa_safe.py ............. [ 20%]
../../../tests/test_20_sentinel1.py ........................ [ 57%]
../../../tests/test_30_sentinel1_fsspec.py F. [ 60%]
../../../tests/test_30_xarray_backends.py ........................ [ 98%]
../../../tests/test_35_xarray_backends_dask.py . [100%]
=================================== FAILURES ===================================
_______________________________ test_get_fs_path _______________________________
def test_get_fs_path() -> None:
fs, path = sentinel1.get_fs_path(SLC_IW)
assert isinstance(fs, fsspec.AbstractFileSystem)
assert path == str(SLC_IW / "manifest.safe")
fs2, path2 = sentinel1.get_fs_path(path, fs=fs)
assert fs2 is fs
assert path2 is path
with pytest.raises(ValueError):
sentinel1.get_fs_path("dummy*")
> with pytest.raises(ValueError):
E Failed: DID NOT RAISE <class 'ValueError'>
../../../tests/test_30_sentinel1_fsspec.py:68: Failed
=============================== warnings summary ===============================
xarray_sentinel/esa_safe.py:7
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_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
tests/test_20_sentinel1.py::test_open_calibration_dataset
tests/test_20_sentinel1.py::test_calibrate_amplitude
tests/test_20_sentinel1.py::test_calibrate_intensity
tests/test_30_xarray_backends.py::test_open_calibration_dataset
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:116: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
return xr.Dataset(data_vars=data_vars, coords=coords, attrs=attrs)
tests/test_20_sentinel1.py::test_open_noise_range_dataset
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:149: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
return xr.Dataset(data_vars=data_vars, coords=coords, attrs=attrs)
tests/test_20_sentinel1.py::test_open_coordinate_conversion_dataset
tests/test_20_sentinel1.py::test_slant_range_time_to_ground_range
tests/test_20_sentinel1.py::test_ground_range_to_slant_range_time
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:217: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
return xr.Dataset(data_vars=data_vars, coords=coords, attrs=attrs)
tests/test_20_sentinel1.py: 12 warnings
tests/test_30_xarray_backends.py: 11 warnings
tests/test_35_xarray_backends_dask.py: 1 warning
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:260: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
ds = xr.Dataset(
tests/test_20_sentinel1.py::test_open_attitude_dataset
tests/test_30_xarray_backends.py::test_open_dataset_attitude[product_path0-IW1/VV]
tests/test_30_xarray_backends.py::test_open_dataset_attitude[product_path1-EW1/HH]
tests/test_30_xarray_backends.py::test_open_dataset_attitude[product_path2-S3/VH]
tests/test_30_xarray_backends.py::test_open_dataset_attitude[product_path3-IW/VV]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:346: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
ds = xr.Dataset(
tests/test_20_sentinel1.py::test_open_orbit_dataset
tests/test_20_sentinel1.py::test_open_sentinel1_dataset
tests/test_30_sentinel1_fsspec.py::test_open_dataset_zip_metadata
tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path0-IW1/VV]
tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path1-EW1/HH]
tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path2-S3/VH]
tests/test_30_xarray_backends.py::test_open_dataset_orbit[product_path3-IW/VV]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:364: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
ds = xr.Dataset(
tests/test_20_sentinel1.py::test_open_dc_estimate_dataset
tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path0-IW1/VV]
tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path1-EW1/HH]
tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path2-S3/VH]
tests/test_30_xarray_backends.py::test_open_dataset_dc_estimate[product_path3-IW/VV]
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:423: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
ds = xr.Dataset(
tests/test_20_sentinel1.py::test_open_azimuth_fm_rate_dataset
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_xarray-sentinel/build/xarray_sentinel/sentinel1.py:452: UserWarning: Converting non-nanosecond precision datetime values to nanosecond precision. This behavior can eventually be relaxed in xarray, as it is an artifact from pandas which is now beginning to support non-nanosecond precision values. This warning is caused by passing non-nanosecond np.datetime64 or np.timedelta64 values to the DataArray or Variable constructor; it can be silenced by converting the values to nanosecond precision ahead of time.
ds = xr.Dataset(
tests/test_20_sentinel1.py::test_open_pol_dataset_sm
tests/test_30_xarray_backends.py::test_open_dataset_polarisation_slc[product_path2-S3/VH]
/usr/lib/python3/dist-packages/rioxarray/_io.py:1132: 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
tests/test_20_sentinel1.py::test_crop_burst_dataset
tests/test_20_sentinel1.py::test_crop_burst_dataset
/usr/lib/python3/dist-packages/xarray/core/dataarray.py:5939: DeprecationWarning: Behaviour of argmin/argmax with neither dim nor axis argument will change to return a dict of indices of each dimension. To get a single, flat index, please use np.argmin(da.data) or np.argmax(da.data) instead of da.argmin() or da.argmax().
result = self.variable.argmin(dim, axis, keep_attrs, skipna)
tests/test_30_xarray_backends.py::test_open_dataset_root
/usr/lib/python3/dist-packages/xarray/backends/plugins.py:159: RuntimeWarning: 'netcdf4' fails while guessing
warnings.warn(f"{engine!r} fails while guessing", RuntimeWarning)
tests/test_30_xarray_backends.py::test_open_dataset_root
/usr/lib/python3/dist-packages/xarray/backends/plugins.py:159: RuntimeWarning: 'scipy' fails while guessing
warnings.warn(f"{engine!r} fails while guessing", RuntimeWarning)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED ../../../tests/test_30_sentinel1_fsspec.py::test_get_fs_path - Failed:...
=========== 1 failed, 63 passed, 4 deselected, 57 warnings in 37.47s ===========
The text was updated successfully, but these errors were encountered:
We are having the following error in debian/sid.
I did not investigate but probably the issue is linked to the use or recent versions of some of the dependencies (maybe
fsspec
itself).The text was updated successfully, but these errors were encountered: