added check_existing_files method to handler class
Jenkins - WCR / Jenkins / Unit Tests
failed
Dec 13, 2024 in 3m 39s
Declarative: Post Actions: warning in 'junit' step
ci / unit_test / unit_test / Shell Script
Error in sh step, with arguments bash script/jenkins/branches/make_in_venv.sh undefined unit_test.
script returned exit code 2
Build log
+ bash script/jenkins/branches/make_in_venv.sh undefined unit_test
python -m pytest --junitxml=tests_xml/tests.xml --cov --cov-config=.coveragerc --cov-report html:coverage --cov-report xml:coverage.xml --cov-report term:skip-covered --ignore=climada_petals/test climada_petals/
============================= test session starts ==============================
platform linux -- Python 3.9.18, pytest-8.2.2, pluggy-1.5.0
rootdir: /var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace
plugins: subtests-0.13.0, cov-5.0.0, Faker-26.0.0
collected 228 items
climada_petals/engine/test/test_supplychain.py ............... [ 6%]
climada_petals/engine/test/test_warn.py ....................... [ 16%]
climada_petals/entity/exposures/test/test_black_marble.py .............. [ 22%]
. [ 23%]
climada_petals/entity/exposures/test/test_crop_production.py ....... [ 26%]
climada_petals/entity/exposures/test/test_gdp_asset.py .... [ 28%]
climada_petals/entity/exposures/test/test_osm_dataloader.py ........... [ 32%]
climada_petals/entity/exposures/test/test_spamagrar_unit.py ..... [ 35%]
climada_petals/entity/impact_funcs/test/test_fl.py ....... [ 38%]
climada_petals/entity/impact_funcs/test/test_wf.py .. [ 39%]
climada_petals/hazard/copernicus_interface/test_heat_index.py .......... [ 43%]
.. [ 44%]
climada_petals/hazard/emulator/test/test_emulator.py .. [ 45%]
climada_petals/hazard/emulator/test/test_geo.py .... [ 46%]
climada_petals/hazard/emulator/test/test_random.py .. [ 47%]
climada_petals/hazard/emulator/test/test_stats.py ..... [ 50%]
climada_petals/hazard/rf_glofas/test/test_cds_glofas_downloader.py ..... [ 52%]
..... [ 54%]
climada_petals/hazard/rf_glofas/test/test_rf_glofas.py .... [ 56%]
climada_petals/hazard/rf_glofas/test/test_river_flood_computation.py ... [ 57%]
........... [ 62%]
climada_petals/hazard/rf_glofas/test/test_transform_ops.py ............. [ 67%]
[ 67%]
climada_petals/hazard/tc_surge_geoclaw/test/test_geoclaw_runner.py .... [ 69%]
climada_petals/hazard/tc_surge_geoclaw/test/test_plot.py .... [ 71%]
climada_petals/hazard/tc_surge_geoclaw/test/test_sea_level_funs.py . [ 71%]
climada_petals/hazard/tc_surge_geoclaw/test/test_tc_surge_events.py ... [ 73%]
climada_petals/hazard/tc_surge_geoclaw/test/test_tc_surge_geoclaw.py . [ 73%]
climada_petals/hazard/test/test_drought.py . [ 74%]
climada_petals/hazard/test/test_flood.py ........ [ 77%]
climada_petals/hazard/test/test_landslide.py ...... [ 80%]
climada_petals/hazard/test/test_low_flow.py .......... [ 84%]
climada_petals/hazard/test/test_relative_cropyield.py ... [ 85%]
climada_petals/hazard/test/test_tc_rainfield.py ...F...... [ 90%]
climada_petals/hazard/test/test_tc_surge_bathtub.py ... [ 91%]
climada_petals/hazard/test/test_tc_tracks_forecast.py ....... [ 94%]
climada_petals/hazard/test/test_wildfire.py ........... [ 99%]
climada_petals/util/test/test_config.py . [100%]
=================================== FAILURES ===================================
_____________________________ TestReader.test_tcr ______________________________
self = <climada_petals.hazard.test.test_tc_rainfield.TestReader testMethod=test_tcr>
def test_tcr(self):
"""Test from_tracks constructor with model TCR."""
tc_track = TCTracks.from_processed_ibtracs_csv(TEST_TRACK)
tc_track.equal_timestep()
> tc_haz = TCRain.from_tracks(tc_track, model="TCR", centroids=CENTR_TEST_BRB)
climada_petals/hazard/test/test_tc_rainfield.py:97:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/hazard/tc_rainfield.py:457: in from_tracks
cls._from_track(track, centroids, idx_centr_filter,
climada_petals/hazard/tc_rainfield.py:524: in _from_track
intensity_sparse, rainrates_sparse = _compute_rain_sparse(
climada_petals/hazard/tc_rainfield.py:678: in _compute_rain_sparse
rainrates, idx_centr_reachable = compute_rain(
climada_petals/hazard/tc_rainfield.py:840: in compute_rain
rainrates = _tcr(
climada_petals/hazard/tc_rainfield.py:1112: in _tcr
w = _compute_vertical_velocity(si_track, centroids, d_centr, mask_centr_close, **kwargs)
climada_petals/hazard/tc_rainfield.py:1185: in _compute_vertical_velocity
h_winds = _horizontal_winds(
climada_petals/hazard/tc_rainfield.py:1254: in _horizontal_winds
"nocoriolis": _windprofile(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
si_track = <xarray.Dataset> Size: 25kB
Dimensions: (time: 223, component: 2)
Coordinates:
lat (time) float64 2k... 1951239012334.0
category: 1
mid_lon: -52.55
latsign: 1.0
d_centr = array([[3695207.91650535, 3695449.24147036, 3695713.75265507, ...,
3533911.09719767, 3536021.45430381, 3538736...4488.39822548, 2143368.52279856, 2142288.08849876, ...,
2299126.86581836, 2295207.47409199, 2292216.77271757]])
mask_centr_close = array([[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False],
...alse],
[False, False, False, ..., False, False, False],
[False, False, False, ..., False, False, False]])
model = 3, cyclostrophic = True, matlab_ref_mode = False
def _windprofile(
si_track: xr.Dataset,
d_centr: dict,
mask_centr_close: np.ndarray,
model: int,
cyclostrophic: bool = False,
matlab_ref_mode: bool = False,
) -> np.ndarray:
"""Compute (absolute) angular wind speeds according to a parametric wind profile
Wrapper around ``compute_angular_windspeeds`` (from climada.trop_cyclone) that adjusts the
Coriolis parameter if matlab_ref_mode is True.
Parameters
----------
si_track : xr.Dataset
Output of ``tctrack_to_si``. Which data variables are used depends on the wind model.
d_centr : ndarray of shape (npositions, ncentroids)
Distances from storm centers to centroids.
mask_centr_close : np.ndarray of shape (npositions, ncentroids)
For each track position one row indicating which centroids are within reach.
model : int
Wind profile model selection according to MODEL_VANG.
cyclostrophic : bool, optional
If True, don't apply the influence of the Coriolis force (set the Coriolis terms to 0).
Default: False
matlab_ref_mode : bool, optional
Do not apply the changes to the reference MATLAB implementation. Default: False
Returns
-------
ndarray of shape (npositions, ncentroids)
"""
if matlab_ref_mode:
# In the MATLAB implementation, the Coriolis parameter is chosen to be 5e-5 (independent of
# latitude), following formula (2) and the remark in Section 3 of Emanuel & Rotunno (2011).
si_track = si_track.copy(deep=True)
si_track["cp"].values[:] = 5e-5
> return compute_angular_windspeeds(
si_track, d_centr, mask_centr_close, model, model_kwarg=dict(cyclostrophic=cyclostrophic),
)
E TypeError: compute_angular_windspeeds() got an unexpected keyword argument 'model_kwarg'
climada_petals/hazard/tc_rainfield.py:1323: TypeError
----------------------------- Captured stdout call -----------------------------
2024-12-13 11:29:49,276 - climada.hazard.tc_tracks - INFO - Reading /var/lib/jenkins/climada/data/centroids/tc_rainfield_test/v4.0.2/trac_brb_test.csv
2024-12-13 11:29:49,283 - climada.hazard.tc_tracks - INFO - Interpolating 1 tracks to 1h time steps.
2024-12-13 11:29:49,313 - climada.util.coordinates - INFO - Sampling from /var/lib/jenkins/climada/data/GMT_intermediate_coast_distance_01d.tif
2024-12-13 11:29:49,324 - climada_petals.hazard.tc_rainfield - INFO - Mapping 1 tracks to 296 coastal centroids.
=============================== warnings summary ===============================
../../../../climada_install_env/workspace/climada/util/__init__.py:27
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/util/__init__.py:27: FionaDeprecationWarning: This function will be removed in version 2.0. Please use CRS.from_epsg() instead.
from .constants import *
../../../../../miniforge3/envs/petals_env/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:15
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:15: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 12.0.1. Please consider upgrading.
warnings.warn(
../../../../../miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:11
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
PANDAS_VERSION = LooseVersion(pd.__version__)
../../../../../miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:13
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
PANDAS_0210 = PANDAS_VERSION >= LooseVersion("0.21.0")
../../../../../miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:14
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
PANDAS_0220 = PANDAS_VERSION >= LooseVersion("0.22.0")
../../../../../miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:15
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/pandas_datareader/compat/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
PANDAS_0230 = PANDAS_VERSION >= LooseVersion("0.23.0")
../../../../climada_install_env/workspace/climada/hazard/centroids/centr.py:995
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/hazard/centroids/centr.py:995: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
latitude = np.array(data.get("lat"))
../../../../climada_install_env/workspace/climada/hazard/centroids/centr.py:996
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/hazard/centroids/centr.py:996: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
longitude = np.array(data.get("lon"))
../../../../climada_install_env/workspace/climada/hazard/centroids/centr.py:1014: 5 warnings
climada_petals/engine/test/test_warn.py: 5 warnings
climada_petals/hazard/emulator/test/test_geo.py: 5 warnings
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/hazard/centroids/centr.py:1014: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
values = np.array(data.get(centr_name))
climada_petals/hazard/test/test_wildfire.py:55
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_wildfire.py:55: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(coord[:, 0], coord[:, 1])
climada_petals/hazard/test/test_wildfire.py:56
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_wildfire.py:56: DeprecatedWarning: set_area_approx is deprecated. This method is futile and will be removed in a future version. `Centroids.get_area_pixel` can be run without initialization.
centroids.set_area_approx()
climada_petals/hazard/test/test_wildfire.py:58
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_wildfire.py:58: DeprecatedWarning: empty_geometry_points is deprecated. This method has no effect and will be removed in a future version. In the current version of climada the geometry points of a `Centroids` object cannot be removed as they are the backbone of the Centroids' GeoDataFrame.
centroids.empty_geometry_points()
climada_petals/engine/test/test_supplychain.py: 16 warnings
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/engine/supplychain.py:878: UserWarning: No known unit was provided. It is assumed that values do not need to be converted.
warnings.warn(
climada_petals/engine/test/test_supplychain.py: 21 warnings
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/numpy/matrixlib/defmatrix.py:70: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
return matrix(data, dtype=dtype, copy=False)
climada_petals/engine/test/test_supplychain.py::TestSupplyChain::test_calc_shock_to_sectors
climada_petals/engine/test/test_supplychain.py::TestSupplyChain::test_calc_shock_to_sectors
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_missing
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_no_param
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_sep
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_recovery_no_param
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_unknown
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/engine/supplychain.py:550: UserWarning: No impacted sectors were specified. It is assumed that the exposure is representative of all sectors in the IO table
warnings.warn(
climada_petals/engine/test/test_supplychain.py::TestSupplyChain::test_map_exp_to_mriot
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/engine/supplychain.py:897: UserWarning: For a correct calculation the format of regions' names in exposure and the IO table must match.
warnings.warn(
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_missing
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_missing
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_no_param
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_sep
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/engine/supplychain.py:763: UserWarning: BoARIO 'model' parameters were not specified and default values are used. This is not recommended and likely undesired.
warnings.warn(f"""BoARIO '{boario_param_type}' parameters were not specified and default values are used. This is not recommended and likely undesired."""
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_missing
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_missing
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_no_param
climada_petals/engine/test/test_supplychain.py::TestSupplyChain_boario::test_calc_impacts_boario_rebuilding_sep
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/engine/supplychain.py:763: UserWarning: BoARIO 'sim' parameters were not specified and default values are used. This is not recommended and likely undesired.
warnings.warn(f"""BoARIO '{boario_param_type}' parameters were not specified and default values are used. This is not recommended and likely undesired."""
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/hazard/io.py:1149: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
hazard_kwargs[var_name] = np.array(hf_data.get(var_name))
climada_petals/engine/test/test_warn.py::TestWarn::test_from_hazard
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/hazard/io.py:1169: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
u_hdf5.to_string, np.array(hf_data.get(var_name)).tolist()
climada_petals/entity/exposures/test/test_black_marble.py::TestProvinces::test_filter_admin1_pass
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/entity/exposures/black_marble.py:404: ShapelyDeprecationWarning: The 'cascaded_union()' function is deprecated. Use 'unary_union()' instead.
all_geom = shapely.ops.cascaded_union(admin1_geom)
climada_petals/entity/exposures/test/test_black_marble.py::TestEconIndices::test_fill_econ_indicators_na_pass
climada_petals/entity/exposures/test/test_black_marble.py::TestEconIndices::test_fill_econ_indicators_pass
climada_petals/entity/exposures/test/test_black_marble.py::TestEconIndices::test_fill_econ_indicators_pass
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/util/finance.py:218: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
close_val = float(close_val.iloc[0].values)
climada_petals/entity/exposures/test/test_crop_production.py::TestCropProduction::test_from_area_and_yield_nc4
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/cfgrib/xarray_plugin.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
if LooseVersion(xr.__version__) <= "0.17.0":
climada_petals/entity/exposures/test/test_crop_production.py::TestCropProduction::test_from_area_and_yield_nc4
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/setuptools/_distutils/version.py:337: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.
other = LooseVersion(other)
climada_petals/entity/exposures/test/test_crop_production.py: 99 warnings
climada_petals/entity/exposures/test/test_gdp_asset.py: 12 warnings
climada_petals/hazard/test/test_flood.py: 27 warnings
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/util/hdf5_handler.py:68: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
contents[name] = np.array(obj)
climada_petals/entity/exposures/test/test_crop_production.py::TestCropProduction::test_normalize_with_fao_cp
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/numpy/core/fromnumeric.py:3504: RuntimeWarning: Mean of empty slice.
return _methods._mean(a, axis=axis, dtype=dtype,
climada_petals/entity/exposures/test/test_crop_production.py::TestCropProduction::test_normalize_with_fao_cp
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/numpy/core/_methods.py:129: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
climada_petals/entity/exposures/test/test_gdp_asset.py: 4 warnings
climada_petals/hazard/test/test_flood.py: 9 warnings
/var/lib/jenkins/jobs/climada_install_env/workspace/climada/util/coordinates.py:884: RuntimeWarning: invalid value encountered in cast
region_id = hdf5_f["NatIdGrid"].reshape(grid_shape).astype(int)
climada_petals/hazard/emulator/test/test_geo.py::TestGeo::test_hazregion_centroids
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/emulator/geo.py:109: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(*latlon)
climada_petals/hazard/emulator/test/test_stats.py::TestStats::test_haz_max_events
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/emulator/test/test_stats.py:114: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
hazard.centroids = Centroids.from_lat_lon(np.array([1, 3, 5]), np.array([2, 4, 6]))
climada_petals/hazard/test/test_drought.py::TestReader::test
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/drought.py:227: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
self.centroids = Centroids.from_lat_lon(lat_1d, lon_1d)
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_centroids_flood
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_flood.py:147: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
rand_centroids = Centroids.from_lat_lon(lat.flatten(), lon.flatten())
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_exact_area_selection_country
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_exact_area_selection_region
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_flooded_area
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_flooded_area
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_flooded_area
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_flooded_area
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_isimip_country_flood
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/river_flood.py:398: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(lat, lon)
climada_petals/hazard/test/test_flood.py::TestRiverFlood::test_flooded_area
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/river_flood.py:317: DeprecatedWarning: set_area_pixel is deprecated. This method is futile and will be removed in a future version. `Centroids.get_area_pixel` can be run without initialization.
self.centroids.set_area_pixel()
climada_petals/hazard/test/test_low_flow.py::TestLowFlowDummyData::test_events_from_clusters_default
climada_petals/hazard/test/test_low_flow.py::TestLowFlowDummyData::test_events_from_clusters_parameter
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_low_flow.py:77: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(np.array(lat), np.array(lon))
climada_petals/hazard/test/test_low_flow.py::TestLowFlowDummyData::test_events_from_clusters_default
climada_petals/hazard/test/test_low_flow.py::TestLowFlowDummyData::test_events_from_clusters_parameter
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_low_flow.py:78: DeprecatedWarning: set_lat_lon_to_meta is deprecated. This method has no effect and will be removed in a future version.
centroids.set_lat_lon_to_meta()
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_filter_events
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_load_FR_all
climada_petals/hazard/test/test_low_flow.py::TestDischargeDataHandling::test_compute_threshold_grid
climada_petals/hazard/test/test_low_flow.py::TestDischargeDataHandling::test_compute_threshold_grid
/var/lib/jenkins/miniforge3/envs/petals_env/lib/python3.9/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered
return function_base._ureduce(a,
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_filter_events
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_filter_events
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_load_FR_all
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_load_FR_all
<string>:6: FutureWarning: 'M' is deprecated and will be removed in a future version. Please use 'ME' instead of 'M'.
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_filter_events
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_load_FR_all
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/low_flow.py:643: DeprecatedWarning: set_area_approx is deprecated. This method is futile and will be removed in a future version. `Centroids.get_area_pixel` can be run without initialization.
centroids.set_area_approx()
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_combine_nc
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_filter_events
climada_petals/hazard/test/test_low_flow.py::TestLowFlowNETCDF::test_load_FR_all
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/low_flow.py:645: DeprecatedWarning: empty_geometry_points is deprecated. This method has no effect and will be removed in a future version. In the current version of climada the geometry points of a `Centroids` object cannot be removed as they are the backbone of the Centroids' GeoDataFrame.
centroids.empty_geometry_points()
climada_petals/hazard/test/test_tc_rainfield.py::TestReader::test_cross_antimeridian
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_rainfield.py:120: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
cen = Centroids.from_lat_lon([-16.95, -16.8, -16.8], [179.9, 180.1, -179.9])
climada_petals/hazard/test/test_tc_rainfield.py: 4 warnings
climada_petals/hazard/test/test_tc_surge_bathtub.py: 1 warning
climada_petals/hazard/test/test_tc_tracks_forecast.py: 51 warnings
<string>:6: FutureWarning: 'H' is deprecated and will be removed in a future version. Please use 'h' instead of 'H'.
climada_petals/hazard/test/test_tc_rainfield.py::TestModel::test_rainfield_diff_time_steps
<string>:6: FutureWarning: 'T' is deprecated and will be removed in a future version. Please use 'min' instead of 'T'.
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_cross_antimeridian
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_surge_bathtub.py:185: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
cen = Centroids.from_lat_lon([-16.95, -16.8, -16.8], [179.9, 180.1, -179.9])
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_cross_antimeridian
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_fraction_on_land
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_surge_from_track
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_surge_bathtub.py:53: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(*[ar.ravel() for ar in np.meshgrid(lon, lat)][::-1])
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_fraction_on_land
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_surge_bathtub.py:98: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(lat, lon)
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_surge_from_track
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_surge_bathtub.py:122: 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.
track = xr.Dataset({
climada_petals/hazard/test/test_tc_surge_bathtub.py::TestTCSurgeBathtub::test_surge_from_track
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/test/test_tc_surge_bathtub.py:157: DeprecatedWarning: from_lat_lon is deprecated. This method will be removed in a future version. Simply use the constructor instead.
centroids = Centroids.from_lat_lon(lat, lon)
climada_petals/hazard/test/test_tc_tracks_forecast.py::TestCXML::test_custom_xsl
climada_petals/hazard/test/test_tc_tracks_forecast.py::TestCXML::test_default_xsl
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/tc_tracks_forecast.py:641: FutureWarning: The argument 'infer_datetime_format' is deprecated and will be removed in a future version. A strict version of it is now the default, see https://pandas.pydata.org/pdeps/0004-consistent-to-datetime-parsing.html. You can safely remove this argument.
all_storms_df = pd.read_csv(
climada_petals/hazard/test/test_wildfire.py::TestMethodsFirms::test_centroids_pass
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/wildfire.py:658: DeprecatedWarning: set_area_approx is deprecated. This method is futile and will be removed in a future version. `Centroids.get_area_pixel` can be run without initialization.
centroids.set_area_approx()
climada_petals/hazard/test/test_wildfire.py::TestMethodsFirms::test_centroids_pass
/var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/climada_petals/hazard/wildfire.py:660: DeprecatedWarning: empty_geometry_points is deprecated. This method has no effect and will be removed in a future version. In the current version of climada the geometry points of a `Centroids` object cannot be removed as they are the backbone of the Centroids' GeoDataFrame.
centroids.empty_geometry_points()
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: /var/lib/jenkins/jobs/petals_branches/branches/PR-142/workspace/tests_xml/tests.xml -
---------- coverage: platform linux, python 3.9.18-final-0 -----------
Name Stmts Miss Cover
---------------------------------------------------------------------------------------------------
climada_petals/__init__.py 13 2 85%
climada_petals/engine/supplychain.py 246 56 77%
climada_petals/engine/warn.py 155 15 90%
climada_petals/entity/exposures/black_marble.py 181 62 66%
climada_petals/entity/exposures/crop_production.py 443 207 53%
climada_petals/entity/exposures/gdp_asset.py 96 15 84%
climada_petals/entity/exposures/osm_dataloader.py 128 12 91%
climada_petals/entity/exposures/spam_agrar.py 171 117 32%
climada_petals/entity/impact_funcs/drought.py 67 45 33%
climada_petals/entity/impact_funcs/relative_cropyield.py 28 15 46%
climada_petals/entity/impact_funcs/river_flood.py 102 16 84%
climada_petals/hazard/copernicus_interface/create_seasonal_forecast_hazard.py 332 285 14%
climada_petals/hazard/copernicus_interface/downloader.py 47 40 15%
climada_petals/hazard/copernicus_interface/heat_index.py 101 3 97%
climada_petals/hazard/copernicus_interface/index_definitions.py 36 12 67%
climada_petals/hazard/copernicus_interface/seasonal_statistics.py 85 75 12%
climada_petals/hazard/copernicus_interface/test_heat_index.py 84 1 99%
climada_petals/hazard/drought.py 277 69 75%
climada_petals/hazard/emulator/emulator.py 116 8 93%
climada_petals/hazard/emulator/geo.py 83 1 99%
climada_petals/hazard/emulator/random.py 52 3 94%
climada_petals/hazard/emulator/stats.py 97 4 96%
climada_petals/hazard/landslide.py 76 3 96%
climada_petals/hazard/low_flow.py 361 45 88%
climada_petals/hazard/relative_cropyield.py 416 310 25%
climada_petals/hazard/rf_glofas/cds_glofas_downloader.py 72 4 94%
climada_petals/hazard/rf_glofas/setup.py 75 54 28%
climada_petals/hazard/rf_glofas/transform_ops.py 160 18 89%
climada_petals/hazard/river_flood.py 152 45 70%
climada_petals/hazard/tc_rainfield.py 343 109 68%
climada_petals/hazard/tc_surge_geoclaw/geoclaw_runner.py 359 114 68%
climada_petals/hazard/tc_surge_geoclaw/plot.py 106 8 92%
climada_petals/hazard/tc_surge_geoclaw/sea_level_funs.py 122 10 92%
climada_petals/hazard/tc_surge_geoclaw/setup_clawpack.py 50 15 70%
climada_petals/hazard/tc_surge_geoclaw/tc_surge_events.py 124 1 99%
climada_petals/hazard/tc_surge_geoclaw/tc_surge_geoclaw.py 143 40 72%
climada_petals/hazard/tc_tracks_forecast.py 262 44 83%
climada_petals/hazard/wildfire.py 495 292 41%
---------------------------------------------------------------------------------------------------
TOTAL 6545 2175 67%
17 files skipped due to complete coverage.
Coverage HTML written to dir coverage
Coverage XML written to file coverage.xml
=========================== short test summary info ============================
FAILED climada_petals/hazard/test/test_tc_rainfield.py::TestReader::test_tcr - TypeError: compute_angular_windspeeds() got an unexpected keyword argument 'model_kwarg'
=========== 1 failed, 227 passed, 349 warnings in 199.13s (0:03:19) ============
make: *** [Makefile:23: unit_test] Error 1
Declarative: Post Actions / Archive JUnit-formatted test results
Warning in junit step, with arguments tests_xml/*.xml.
1 tests failed
Details
- Declarative: Checkout SCM (3.8 sec)
- setup-environment (1.7 sec)
- ci (3 min 28 sec)
- lint (1 ms)
- lint (57 sec)
- unit_test (3 min 26 sec)
- unit_test (3 min 23 sec)
Error: script returned exit code 2
- unit_test (3 min 23 sec)
- lint (1 ms)
- Declarative: Post Actions (3.1 sec)
Unstable: 1 tests failed
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