AssertionError: 'Dataset is missing dimension/coordinate: time' not found in "Dataset is missing dimension/coordinate: No variable named 'time'. Variables on the dataset include ['intensity', 'latitude', 'longitude']. Dataset dimensions: ['latitude', 'longitude']"
self = <climada.hazard.test.test_base_xarray.TestReadDefaultNetCDF testMethod=test_missing_dims>

    def test_missing_dims(self):
        """Test if missing coordinates are expanded and correct errors are thrown"""
        # Drop time as dimension, but not as coordinate!
        with xr.open_dataset(self.netcdf_path) as ds:
            ds = ds.isel(time=0).squeeze()
            hazard = Hazard.from_xarray_raster(ds, "", "")
            self._assert_default_types(hazard)
            np.testing.assert_array_equal(
                hazard.event_name, [self.time[0].strftime("%Y-%m-%d")]
            )
            np.testing.assert_array_equal(hazard.date, [self.time[0].toordinal()])
            np.testing.assert_array_equal(hazard.centroids.lat, [0, 0, 0, 1, 1, 1])
            np.testing.assert_array_equal(hazard.centroids.lon, [0, 1, 2, 0, 1, 2])
            self.assertEqual(hazard.centroids.geometry.crs, DEF_CRS)
            np.testing.assert_array_equal(
                hazard.intensity.toarray(), [[0, 1, 2, 3, 4, 5]]
            )
            self.assertEqual(hazard.fraction.nnz, 0)
            np.testing.assert_array_equal(
                hazard.fraction.toarray(), [[0, 0, 0, 0, 0, 0]]
            )
    
            # Now drop variable altogether, should raise an error
            ds = ds.drop_vars("time")
            with self.assertRaises(RuntimeError) as cm:
                Hazard.from_xarray_raster(ds, "", "")
>           self.assertIn(
                "Dataset is missing dimension/coordinate: time", str(cm.exception)
            )
E           AssertionError: 'Dataset is missing dimension/coordinate: time' not found in "Dataset is missing dimension/coordinate: No variable named 'time'. Variables on the dataset include ['intensity', 'latitude', 'longitude']. Dataset dimensions: ['latitude', 'longitude']"

climada/hazard/test/test_base_xarray.py:364: AssertionError

AssertionError: 'Dataset is missing dimension/coordinate: lalalatitude.' not found in "Dataset is missing dimension/coordinate: No variable named 'lalalatitude'. Variables on the dataset include ['intensity', 'fraction', 'time', 'x', 'y', 'lon', 'lat', 'years', 'latitude', 'longitude']. Dataset dimensions: ['time', 'y', 'x']"
self = <climada.hazard.test.test_base_xarray.TestReadDimsCoordsNetCDF testMethod=test_errors>

    def test_errors(self):
        """Check if expected errors are thrown"""
        # Wrong coordinate key
        with self.assertRaises(ValueError) as cm:
            Hazard.from_xarray_raster_file(
                self.netcdf_path,
                "",
                "",
                coordinate_vars=dict(bar="latitude", longitude="baz"),
            )
        self.assertIn("Unknown coordinates passed: '['bar']'.", str(cm.exception))
    
        # Correctly specified, but the custom dimension does not exist
        with self.assertRaises(RuntimeError) as cm:
            Hazard.from_xarray_raster_file(
                self.netcdf_path,
                "",
                "",
                coordinate_vars=dict(latitude="lalalatitude"),
            )
>       self.assertIn(
            "Dataset is missing dimension/coordinate: lalalatitude.", str(cm.exception)
        )
E       AssertionError: 'Dataset is missing dimension/coordinate: lalalatitude.' not found in "Dataset is missing dimension/coordinate: No variable named 'lalalatitude'. Variables on the dataset include ['intensity', 'fraction', 'time', 'x', 'y', 'lon', 'lat', 'years', 'latitude', 'longitude']. Dataset dimensions: ['time', 'y', 'x']"

climada/hazard/test/test_base_xarray.py:578: AssertionError

AssertionError: 108675513472.0 != 108675762920.0
self = <climada.util.test.test_finance.TestWBWealthAccount testMethod=test_pca_CUB_2015_pass>

    def test_pca_CUB_2015_pass(self):
        """Test Processed Capital value Cuba 2015 (missing value)."""
        ref_year = 2015
        cntry_iso = 'CUB'
        res_year, res_val, q = world_bank_wealth_account(cntry_iso, ref_year, no_land=1)
        ref_val = 108675762920.0
        self.assertEqual(q, 0)
        self.assertEqual(res_year, ref_year)
>       self.assertEqual(res_val, ref_val)
E       AssertionError: 108675513472.0 != 108675762920.0

climada/util/test/test_finance.py:205: AssertionError

AssertionError: 5861186367245.2 not found in [5415188681934.5, 5861193808779.6, 5861186556152.8]
self = <climada.util.test.test_finance.TestWBWealthAccount testMethod=test_tow_IND_1985_pass>

    def test_tow_IND_1985_pass(self):
        """Test Total Wealth value India 1985 (outside year range)."""
        ref_year = 1985
        cntry_iso = 'IND'
        var_name = 'NW.TOW.TO'
        res_year, res_val, _ = world_bank_wealth_account(cntry_iso, ref_year,
                                                         variable_name=var_name)
        ref_val = [5415188681934.5,  # values sporadically updated by worldbank
                   5861193808779.6,  # <- October 27 2021
                   5861186556152.8]  # <- June 29 2023
        self.assertEqual(res_year, ref_year)
>       self.assertIn(res_val, ref_val)
E       AssertionError: 5861186367245.2 not found in [5415188681934.5, 5861193808779.6, 5861186556152.8]

climada/util/test/test_finance.py:195: AssertionError