--- Begin Message ---
Package: src:satpy
Version: 0.59.0-3
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:satpy, 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:384: python3.14 -m build --skip-dependency-check --no-isolation
--wheel --outdir /<<PKGBUILDDIR>>/.pybuild/cpython3_3.14_satpy
* Building wheel...
Successfully built satpy-0.59.0-py3-none-any.whl
[... snipped ...]
# location of cloud in corrected data
# this may no longer be rectangular!
dest_mask = np.zeros(shape=test_area.shape, dtype="?")
cloud_location = {
"foroyar": {
7500: (197, 202, 152, 172),
15000: (238, 243, 164, 184)},
"ouagadougou": {
7500: (159, 164, 140, 160),
15000: (163, 168, 141, 161)}}
(x_lo, x_hi, y_lo, y_hi) = cloud_location[test_area.area_id][cth]
dest_mask[x_lo:x_hi, y_lo:y_hi] = True
modif = ParallaxCorrectionModifier(
name="parallax_corrected_dataset",
prerequisites=[fake_bt, fake_cth],
optional_prerequisites=[],
debug_mode=True)
res = modif([fake_bt, fake_cth], optional_datasets=[])
assert fake_bt.attrs["area"] == test_area # should not be changed
assert res.attrs["area"] == fake_bt.attrs["area"]
# confirm old cloud area now fill value
# except where it overlaps with new cloud
assert np.isnan(res.data[cma & (~dest_mask)]).all()
# confirm rest of the area does not have fill values
assert np.isfinite(res.data[~cma]).all()
# confirm that rest of area pixel values did not change, except where
# cloud arrived or originated
delta = res - fake_bt
> assert (delta.data[~(cma | dest_mask)] == 0).all()
E assert dask.array<all-aggregate, shape=(), dtype=bool, chunksize=(),
chunktype=numpy.ndarray>
E + where dask.array<all-aggregate, shape=(), dtype=bool, chunksize=(),
chunktype=numpy.ndarray> = all()
E + where all = dask.array<getitem, shape=(nan,), dtype=float64,
chunksize=(nan,), chunktype=numpy.ndarray> == 0.all
ParallaxCorrectionModifier = <class
'satpy.modifiers.parallax.ParallaxCorrectionModifier'>
cloud_location = {'foroyar': {7500: (197, 202, 152, 172), 15000: (238, 243,
164, 184)}, 'ouagadougou': {7500: (159, 164, 140, 160), 15000: (163, 168, 141,
161)}}
cma = array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...se, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]], shape=(268, 351))
cth = 15000
delta = <xarray.DataArray (y: 268, x: 351)> Size: 753kB
dask.array<sub, shape=(268, 351), dtype=float64, chunksize=(268, 351),...
Area ID: foroyar\nDescription: foroyar\nProjection: ...
name: parallax_corrected_dataset
dest_mask = array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...se, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]], shape=(268, 351))
fake_bt = <xarray.DataArray 'array-8b019cedb6608fc890862d81d5c19d01' (y:
268, x: 351)> Size: 753kB
dask.array<array, shape=(268,...ellite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection: ...
fake_cth = <xarray.DataArray 'array-953b659e90ed204e3bf2ca2817457416' (y:
268, x: 351)> Size: 753kB
dask.array<array, shape=(268,...ellite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection: ...
modif = {'debug_mode': True,
'name': 'parallax_corrected_dataset',
'optional_prerequisites': [],
'prerequisites': [<xarray....lite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection:
...]}
res = <xarray.DataArray 'my_index-00fce4456b46a25b8f87469c1d2da95b' (y:
268, x: 351)> Size: 753kB
dask.array<my_index, shape... Area ID: foroyar\nDescription:
foroyar\nProjection: ...
name: parallax_corrected_dataset
self =
<satpy.tests.modifier_tests.test_parallax.TestParallaxCorrectionModifier object
at 0x7f600d201370>
test_area = Area ID: foroyar
Description: foroyar
Projection: {'datum': 'WGS84', 'lat_0': '0', 'lat_ts': '0', 'lon_0': '0',
'no_de...': '0'}
Number of columns: 351
Number of rows: 268
Area extent: (-861785.8867, 6820719.391, -686309.8125, 6954386.3832)
use_dask = True
x_hi = 243
x_lo = 238
y_hi = 184
y_lo = 164
satpy/tests/modifier_tests/test_parallax.py:687: AssertionError
------------------------------ Captured log setup ------------------------------
WARNING pyresample.area_config:area_config.py:767 shape found from radius and
resolution does not contain only integers: (267.333984375, 350.9521484375)
Rounding shape to (268, 351) and resolution from (500.0, 500.0) meters to
(499.93183538105416, 498.7574335354478) meters
------------------------------ Captured log call -------------------------------
INFO pyresample.bucket:__init__.py:178 Determine bucket resampling indices
INFO pyresample.bucket:__init__.py:331 Get max of values in each location
INFO pyresample.bucket:__init__.py:308 Get min of values in each location
INFO pyresample.bucket:__init__.py:331 Get max of values in each location
INFO pyresample.bucket:__init__.py:308 Get min of values in each location
INFO pyresample.bucket:__init__.py:382 Get number of values in each location
INFO satpy.resample.base:base.py:114 Using default KDTree resampler
_
TestParallaxCorrectionModifier.test_modifier_interface_cloud_moves_to_observer[foroyar-False-15000]
_
self = <satpy.tests.modifier_tests.test_parallax.TestParallaxCorrectionModifier
object at 0x7f600d1dcc50>
cth = 15000, use_dask = False
test_area = Area ID: foroyar
Description: foroyar
Projection: {'datum': 'WGS84', 'lat_0': '0', 'lat_ts': '0', 'lon_0': '0',
'no_de...': '0'}
Number of columns: 351
Number of rows: 268
Area extent: (-861785.8867, 6820719.391, -686309.8125, 6954386.3832)
@pytest.mark.parametrize("cth", [7500, 15000])
@pytest.mark.parametrize("use_dask", [True, False])
@pytest.mark.parametrize("test_area", ["foroyar", "ouagadougou"],
indirect=["test_area"])
def test_modifier_interface_cloud_moves_to_observer(self, cth, use_dask,
test_area):
"""Test that a cloud moves to the observer.
With the modifier interface, use a high resolution area and test that
pixels are moved in the direction of the observer and not away from it.
"""
from satpy.modifiers.parallax import ParallaxCorrectionModifier
(fake_bt, fake_cth, cma) = self._get_fake_cloud_datasets(test_area,
cth, use_dask=use_dask)
# location of cloud in corrected data
# this may no longer be rectangular!
dest_mask = np.zeros(shape=test_area.shape, dtype="?")
cloud_location = {
"foroyar": {
7500: (197, 202, 152, 172),
15000: (238, 243, 164, 184)},
"ouagadougou": {
7500: (159, 164, 140, 160),
15000: (163, 168, 141, 161)}}
(x_lo, x_hi, y_lo, y_hi) = cloud_location[test_area.area_id][cth]
dest_mask[x_lo:x_hi, y_lo:y_hi] = True
modif = ParallaxCorrectionModifier(
name="parallax_corrected_dataset",
prerequisites=[fake_bt, fake_cth],
optional_prerequisites=[],
debug_mode=True)
res = modif([fake_bt, fake_cth], optional_datasets=[])
assert fake_bt.attrs["area"] == test_area # should not be changed
assert res.attrs["area"] == fake_bt.attrs["area"]
# confirm old cloud area now fill value
# except where it overlaps with new cloud
assert np.isnan(res.data[cma & (~dest_mask)]).all()
# confirm rest of the area does not have fill values
assert np.isfinite(res.data[~cma]).all()
# confirm that rest of area pixel values did not change, except where
# cloud arrived or originated
delta = res - fake_bt
> assert (delta.data[~(cma | dest_mask)] == 0).all()
E assert dask.array<all-aggregate, shape=(), dtype=bool, chunksize=(),
chunktype=numpy.ndarray>
E + where dask.array<all-aggregate, shape=(), dtype=bool, chunksize=(),
chunktype=numpy.ndarray> = all()
E + where all = dask.array<getitem, shape=(nan,), dtype=float64,
chunksize=(nan,), chunktype=numpy.ndarray> == 0.all
ParallaxCorrectionModifier = <class
'satpy.modifiers.parallax.ParallaxCorrectionModifier'>
cloud_location = {'foroyar': {7500: (197, 202, 152, 172), 15000: (238, 243,
164, 184)}, 'ouagadougou': {7500: (159, 164, 140, 160), 15000: (163, 168, 141,
161)}}
cma = array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...se, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]], shape=(268, 351))
cth = 15000
delta = <xarray.DataArray (y: 268, x: 351)> Size: 753kB
dask.array<sub, shape=(268, 351), dtype=float64, chunksize=(268, 351),...
Area ID: foroyar\nDescription: foroyar\nProjection: ...
name: parallax_corrected_dataset
dest_mask = array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...se, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]], shape=(268, 351))
fake_bt = <xarray.DataArray (y: 268, x: 351)> Size: 753kB
array([[270. , 270. , 270. , ..., 270.22, 270.22, 270.22],
[...ellite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection: ...
fake_cth = <xarray.DataArray (y: 268, x: 351)> Size: 753kB
array([[nan, nan, nan, ..., nan, nan, nan],
[nan, nan, nan, ......ellite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection: ...
modif = {'debug_mode': True,
'name': 'parallax_corrected_dataset',
'optional_prerequisites': [],
'prerequisites': [<xarray....lite_a...
units: m
area: Area ID: foroyar\nDescription: foroyar\nProjection:
...]}
res = <xarray.DataArray 'my_index-2d8698938ddb7913ee55d1458d9c6856' (y:
268, x: 351)> Size: 753kB
dask.array<my_index, shape... Area ID: foroyar\nDescription:
foroyar\nProjection: ...
name: parallax_corrected_dataset
self =
<satpy.tests.modifier_tests.test_parallax.TestParallaxCorrectionModifier object
at 0x7f600d1dcc50>
test_area = Area ID: foroyar
Description: foroyar
Projection: {'datum': 'WGS84', 'lat_0': '0', 'lat_ts': '0', 'lon_0': '0',
'no_de...': '0'}
Number of columns: 351
Number of rows: 268
Area extent: (-861785.8867, 6820719.391, -686309.8125, 6954386.3832)
use_dask = False
x_hi = 243
x_lo = 238
y_hi = 184
y_lo = 164
satpy/tests/modifier_tests/test_parallax.py:687: AssertionError
------------------------------ Captured log setup ------------------------------
WARNING pyresample.area_config:area_config.py:767 shape found from radius and
resolution does not contain only integers: (267.333984375, 350.9521484375)
Rounding shape to (268, 351) and resolution from (500.0, 500.0) meters to
(499.93183538105416, 498.7574335354478) meters
------------------------------ Captured log call -------------------------------
INFO pyresample.bucket:__init__.py:178 Determine bucket resampling indices
INFO pyresample.bucket:__init__.py:331 Get max of values in each location
INFO pyresample.bucket:__init__.py:308 Get min of values in each location
INFO pyresample.bucket:__init__.py:331 Get max of values in each location
INFO pyresample.bucket:__init__.py:308 Get min of values in each location
INFO pyresample.bucket:__init__.py:382 Get number of values in each location
INFO satpy.resample.base:base.py:114 Using default KDTree resampler
=============================== warnings summary ===============================
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py:154
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_satpy/build/satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py:154:
PytestCollectionWarning: cannot collect test class 'TestParams' because it has
a __init__ constructor (from: satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py)
@dataclass
../../../../../../usr/lib/python3/dist-packages/dask/dataframe/__init__.py:49
/usr/lib/python3/dist-packages/dask/dataframe/__init__.py:49: FutureWarning:
Dask dataframe query planning is disabled because dask-expr is not installed.
You can install it with `pip install dask[dataframe]` or `conda install dask`.
This will raise in a future version.
warnings.warn(msg, FutureWarning)
satpy/tests/reader_tests/test_avhrr_l0_hrpt.py::TestHRPTGetCalibratedBT::test_calibrated_bt_values
/usr/lib/python3/dist-packages/pygac/calibration.py:203: RuntimeWarning:
Using CoeffStatus.PROVISIONAL calibration coefficients
warnings.warn(warning, RuntimeWarning)
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_channel_calibrated[klm_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_slice[klm_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_channel_calibrated[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_slice[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::test_all_data_masked_out
/usr/lib/python3/dist-packages/pygac/calibration.py:342: DeprecationWarning:
Using the 'corr' argument is depricated in favor of making the units of the
function result clear. Please make any unit conversion outside this function.
warnings.warn(
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_channel_calibrated[klm_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_slice[klm_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::test_all_data_masked_out
/usr/lib/python3/dist-packages/pygac/calibration.py:539: RuntimeWarning:
divide by zero encountered in divide
Nlin = nS + (nBB - nS)*(cS - cE)/(cS - cBB)
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_channel_calibrated[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_channel_counts[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_slice[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_latlon[pod_params]
satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py::TestReadingGacFile::test_get_angles[pod_params]
/usr/lib/python3/dist-packages/pyorbital/geoloc_instrument_definitions.py:63:
DeprecationWarning: avhrr_gac is replaced with avhrr_from_times or
avhrr_gac_from_times
warnings.warn("avhrr_gac is replaced with avhrr_from_times or
avhrr_gac_from_times",
satpy/tests/test_config.py::TestPluginsConfigs::test_plugin_writer_available_writers
/usr/lib/python3/dist-packages/pyninjotiff/tifffile.py:156: UserWarning:
failed to import the optional _tifffile C extension module.
Loading of some compressed images will be slow.
Tifffile.c can be obtained at http://www.lfd.uci.edu/~gohlke/
warnings.warn(
satpy/tests/writer_tests/test_mitiff.py: 13 warnings
/<<PKGBUILDDIR>>/.pybuild/cpython3_3.13_satpy/build/satpy/tests/writer_tests/test_mitiff.py:427:
DeprecationWarning: Image.Image.getdata is deprecated and will be removed in
Pillow 14 (2027-10-15). Use get_flattened_data instead.
np.testing.assert_allclose(np.asarray(pillow_tif.getdata()).reshape(test_shape),
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py:100: broken
SKIPPED [1] satpy/tests/reader_tests/test_avhrr_l1b_gaclac.py:460: Skipped
SKIPPED [1] satpy/tests/scene_tests/test_conversions.py:61: 'geoviews' not
available
SKIPPED [1] satpy/tests/scene_tests/test_conversions.py:76: 'geoviews' not
available
XFAIL
satpy/tests/modifier_tests/test_parallax.py::TestParallaxCorrectionClass::test_correct_area_cloudy_no_overlap
- awaiting pyresample fixes
XFAIL
satpy/tests/modifier_tests/test_parallax.py::TestParallaxCorrectionClass::test_correct_area_cloudy_partly_shifted
- awaiting pyresample fixes
XFAIL satpy/tests/writer_tests/test_ninjogeotiff.py::test_get_meridian_east -
not easy, not needed, not implemented
XFAIL satpy/tests/writer_tests/test_ninjogeotiff.py::test_get_meridian_west -
not easy, not needed, not implemented
XFAIL satpy/tests/writer_tests/test_ninjogeotiff.py::test_get_ref_lat_2 - Not
implemented, what is this?
FAILED
satpy/tests/modifier_tests/test_parallax.py::TestParallaxCorrectionModifier::test_modifier_interface_cloud_moves_to_observer[foroyar-True-15000]
FAILED
satpy/tests/modifier_tests/test_parallax.py::TestParallaxCorrectionModifier::test_modifier_interface_cloud_moves_to_observer[foroyar-False-15000]
= 2 failed, 3201 passed, 4 skipped, 61 deselected, 5 xfailed, 30 warnings in
220.37s (0:03:40) =
E: pybuild pybuild:483: test: plugin pyproject failed with:
[too-long-redacted] vissr_navigation.py satpy/tests
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.14
3.13" returned exit code 13
make: *** [debian/rules:91: binary] Error 25
dpkg-buildpackage: error: debian/rules binary subprocess failed with exit
status 2
--------------------------------------------------------------------------------
--- End Message ---
pgpK4KhhOvMd1.pgp
