adapt to changed Exposures interface #103
GitHub Actions / Petals / Unit Test Results (3.10)
failed
Jul 11, 2024 in 0s
10 fail, 182 pass in 4m 36s
Annotations
Check warning on line 0 in climada_petals.engine.test.test_supplychain.TestSupplyChain
github-actions / Petals / Unit Test Results (3.10)
test_calc_shock_to_sectors (climada_petals.engine.test.test_supplychain.TestSupplyChain) failed
climada_petals/tests_xml/tests.xml [took 1s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lon'
self = <climada_petals.engine.test.test_supplychain.TestSupplyChain testMethod=test_calc_shock_to_sectors>
def test_calc_shock_to_sectors(self):
"""Test sectorial exposure, impact and shock calculations."""
mriot = build_mriot()
sup = SupplyChain(mriot)
# take one mriot type that supports iso-3
sup.mriot.meta.change_meta("name", "WIOD16-2011")
> exp, imp = dummy_exp_imp()
climada_petals/engine/test/test_supplychain.py:243:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/engine/test/test_supplychain.py:107: in dummy_exp_imp
exp = Exposures(
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa564809600>
data = {'region_id': [840, 608], 'value': array([150., 80.])}, geometry = None
crs = None, args = (), kwargs = {'lat': array([1, 3]), 'lon': array([1.5, 3.5])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lon'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_from_area_and_yield_nc4 (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_from_area_and_yield_nc4>
def test_from_area_and_yield_nc4(self):
"""Test defining crop_production Exposure from area and yield
data extracted from netcdf test data for Switzerland"""
> exp = cp.CropProduction.from_area_and_yield_nc4('whe', 2, 2,
FILENAME_YIELD, FILENAME_AREA,
'yield.tot', 'cultivated area all',
input_dir=INPUT_DIR)
climada_petals/entity/exposures/test/test_crop_production.py:38:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:482: in from_area_and_yield_nc4
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa564120ca0>
data = {'region_id': array([250, 250, 250, 250, 276, 276, 276, 276, 276, 276, 276, 250, 250,
250, 756, 756, 756, 756, ...6912348, 15668.36263266, 9518.1236234 , 4489.85631878,
20377.89080888, 5209.63305472, 8143.23064451])}
geometry = None, crs = None, args = ()
kwargs = {'lat': array([47.75, 47.75, 47.75, 47.75, 47.75, 47.75, 47.75, 47.75, 47.75,
47.75, 47.75, 47.25, 47.25, 47.25...9.25, 9.75, 10.25, 10.75, 5.75,
6.25, 6.75, 7.25, 7.75, 8.25, 8.75, 9.25, 9.75, 10.25,
10.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_isimip_load_central_EU (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_isimip_load_central_EU>
def test_isimip_load_central_EU(self):
"""Test defining crop_production Exposure from complete demo file
(Central Europe), isimip approach"""
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 42, 16, 55], yearrange=np.array([2001, 2005]),
scenario='flexible', unit='t/y', crop = 'mai', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa55b2c6050>
data = {'region_id': array([0, 0, 0, ..., 0, 0, 0])}, geometry = None
crs = None, args = ()
kwargs = {'lat': array([54.75, 54.75, 54.75, ..., 42.25, 42.25, 42.25]), 'lon': array([-4.75, -4.25, -3.75, ..., 14.75, 15.25, 15.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_normalize_with_fao_cp (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_normalize_with_fao_cp>
def test_normalize_with_fao_cp(self):
""" Test normalizing of two given exposures countrywise (usually firr + norr)
with the mean crop production quantity"""
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 42, 16, 55], yearrange=np.array([2001, 2005]),
scenario='flexible', crop = 'mai', unit='t/y', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:179:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa55af306a0>
data = {'region_id': array([0, 0, 0, ..., 0, 0, 0])}, geometry = None
crs = None, args = ()
kwargs = {'lat': array([54.75, 54.75, 54.75, ..., 42.25, 42.25, 42.25]), 'lon': array([-4.75, -4.25, -3.75, ..., 14.75, 15.25, 15.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_set_value_to_kcal (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_set_value_to_kcal>
def test_set_value_to_kcal(self):
"""Test calculating crop_production Exposure in [kcal/y] (deprecated setmethod)"""
# (1) biomass = True
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 45, 10, 50], yearrange=np.array([2001, 2005]),
scenario='flexible', unit='t/y', crop = 'mai', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:106:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa55abec2b0>
data = {'region_id': array([ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 250, 250,
250, 250, 250, 250, 250, ...50, 250, 250, 250, 250, 250, 250,
250, 250, 250, 250, 250, 250, 250, 250, 380, 380, 380, 380, 380,
380])}
geometry = None, crs = None, args = ()
kwargs = {'lat': array([49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75,
49.75, 49.75, 49.75, 49.75, 49.75...2.75, 3.25, 3.75,
4.25, 4.75, 5.25, 5.75, 6.25, 6.75, 7.25, 7.75, 8.25,
8.75, 9.25, 9.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_set_value_to_usd (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_set_value_to_usd>
def test_set_value_to_usd(self):
"""Test calculating crop_production Exposure in [USD/y] (deprecated set method)"""
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 42, 16, 55], yearrange=np.array([2001, 2005]),
scenario='flexible', unit='t/y', crop = 'mai', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:68:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa558be6920>
data = {'region_id': array([0, 0, 0, ..., 0, 0, 0])}, geometry = None
crs = None, args = ()
kwargs = {'lat': array([54.75, 54.75, 54.75, ..., 42.25, 42.25, 42.25]), 'lon': array([-4.75, -4.25, -3.75, ..., 14.75, 15.25, 15.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_value_to_kcal (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_value_to_kcal>
def test_value_to_kcal(self):
"""Test calculating crop_production Exposure in [kcal/y] (new function)"""
# (1) biomass = True
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 45, 10, 50], yearrange=np.array([2001, 2005]),
scenario='flexible', unit='t/y', crop = 'mai', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:136:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa56411bd00>
data = {'region_id': array([ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 250, 250,
250, 250, 250, 250, 250, ...50, 250, 250, 250, 250, 250, 250,
250, 250, 250, 250, 250, 250, 250, 250, 380, 380, 380, 380, 380,
380])}
geometry = None, crs = None, args = ()
kwargs = {'lat': array([49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75, 49.75,
49.75, 49.75, 49.75, 49.75, 49.75...2.75, 3.25, 3.75,
4.25, 4.75, 5.25, 5.75, 6.25, 6.75, 7.25, 7.75, 8.25,
8.75, 9.25, 9.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_value_to_usd (climada_petals.entity.exposures.test.test_crop_production.TestCropProduction) failed
climada_petals/tests_xml/tests.xml [took 0s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
self = <climada_petals.entity.exposures.test.test_crop_production.TestCropProduction testMethod=test_value_to_usd>
def test_value_to_usd(self):
"""Test calculating crop_production Exposure in [USD/y] (new function)"""
> exp = cp.CropProduction.from_isimip_netcdf(input_dir=INPUT_DIR, filename=FILENAME, hist_mean=FILENAME_MEAN,
bbox=[-5, 42, 16, 55], yearrange=np.array([2001, 2005]),
scenario='flexible', unit='t/y', crop = 'mai', irr='firr')
climada_petals/entity/exposures/test/test_crop_production.py:86:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/crop_production.py:284: in from_isimip_netcdf
exp = cls(
climada_petals/entity/exposures/crop_production.py:152: in __init__
super().__init__(*args, meta=meta, **kwargs)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa563ac7520>
data = {'region_id': array([0, 0, 0, ..., 0, 0, 0])}, geometry = None
crs = None, args = ()
kwargs = {'lat': array([54.75, 54.75, 54.75, ..., 42.25, 42.25, 42.25]), 'lon': array([-4.75, -4.25, -3.75, ..., 14.75, 15.25, 15.75])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'lat'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_read_GDP (climada_petals.entity.exposures.test.test_gdp_asset.TestGDP2AssetFunctions) failed
climada_petals/tests_xml/tests.xml [took 1s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'value'
self = <climada_petals.entity.exposures.test.test_gdp_asset.TestGDP2AssetFunctions testMethod=test_read_GDP>
def test_read_GDP(self):
> exp_test = ga.GDP2Asset._set_one_country('LIE', 2000, DEMO_GDP2ASSET)
climada_petals/entity/exposures/test/test_gdp_asset.py:91:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/gdp_asset.py:133: in _set_one_country
return GDP2Asset(
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa55af30dc0>
data = {'impf_RF': array([3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]), 'region_id': array([11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11.])}
geometry = None, crs = None, args = ()
kwargs = {'lat': array([47.0622474, 47.0622474, 47.0622474, 47.103914 , 47.103914 ,
47.103914 , 47.1455806, 47.1455806, ...00e+00, 4.13708136e+06,
2.74111963e+07, 0.00000000e+00, 4.12584731e+06, 8.85575584e+07,
1.91881403e+08])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'value'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
github-actions / Petals / Unit Test Results (3.10)
test_set_one_country (climada_petals.entity.exposures.test.test_gdp_asset.TestGDP2AssetFunctions) failed
climada_petals/tests_xml/tests.xml [took 2s]
Raw output
TypeError: DataFrame.__init__() got an unexpected keyword argument 'value'
self = <climada_petals.entity.exposures.test.test_gdp_asset.TestGDP2AssetFunctions testMethod=test_set_one_country>
def test_set_one_country(self):
with self.assertRaises(KeyError):
ga.GDP2Asset._set_one_country('LIE', 2001, path=DEMO_GDP2ASSET)
> exp_test = ga.GDP2Asset._set_one_country('LIE', 2000, path=DEMO_GDP2ASSET)
climada_petals/entity/exposures/test/test_gdp_asset.py:56:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
climada_petals/entity/exposures/gdp_asset.py:133: in _set_one_country
return GDP2Asset(
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/entity/exposures/base.py:210: in __init__
self.set_gdf(GeoDataFrame(*args, **kwargs), crs=crs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <[RecursionError('maximum recursion depth exceeded while calling a Python object') raised in repr()] GeoDataFrame object at 0x7fa559739690>
data = {'impf_RF': array([3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]), 'region_id': array([11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11., 11.])}
geometry = None, crs = None, args = ()
kwargs = {'lat': array([47.0622474, 47.0622474, 47.0622474, 47.103914 , 47.103914 ,
47.103914 , 47.1455806, 47.1455806, ...00e+00, 4.13708136e+06,
2.74111963e+07, 0.00000000e+00, 4.12584731e+06, 8.85575584e+07,
1.91881403e+08])}
def __init__(self, data=None, *args, geometry=None, crs=None, **kwargs):
with compat.ignore_shapely2_warnings():
if (
kwargs.get("copy") is None
and isinstance(data, DataFrame)
and not isinstance(data, GeoDataFrame)
):
kwargs.update(copy=True)
> super().__init__(data, *args, **kwargs)
E TypeError: DataFrame.__init__() got an unexpected keyword argument 'value'
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/geopandas/geodataframe.py:139: TypeError
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