AssertionError: 1006.7886 != 1008 within 0 places (1.21142578125 difference)
self = <climada.hazard.test.test_tc_tracks.TestIbtracs testMethod=test_ibtracs_correct_pass>

    def test_ibtracs_correct_pass(self):
        """Check estimate_missing option"""
        tc_try = tc.TCTracks.from_ibtracs_netcdf(
            provider="usa", storm_id="1982267N25289", estimate_missing=True
        )
        self.assertAlmostEqual(
            tc_try.data[0]["central_pressure"].values[0], 1013, places=0
        )
>       self.assertAlmostEqual(
            tc_try.data[0]["central_pressure"].values[5], 1008, places=0
        )
E       AssertionError: 1006.7886 != 1008 within 0 places (1.21142578125 difference)

climada/hazard/test/test_tc_tracks.py:280: AssertionError

AssertionError: False is not true
self = <climada.hazard.test.test_tc_tracks.TestIbtracs testMethod=test_penv_rmax_penv_pass>

    def test_penv_rmax_penv_pass(self):
        """from_ibtracs_netcdf"""
        tc_track = tc.TCTracks.from_ibtracs_netcdf(
            provider="usa", storm_id="1992230N11325"
        )
        penv_ref = np.ones(97) * 1010
        penv_ref[26:36] = [1011, 1012, 1013, 1014, 1015, 1014, 1014, 1014, 1014, 1012]
    
>       self.assertTrue(
            np.allclose(tc_track.get_track()["environmental_pressure"].values, penv_ref)
        )
E       AssertionError: False is not true

climada/hazard/test/test_tc_tracks.py:87: AssertionError

AssertionError: 
Arrays are not almost equal to 6 decimals

Mismatched elements: 2 / 4 (50%)
Max absolute difference: 0.0149841
Max relative difference: 9.50858357e-05
 x: array([157.600006, -19.200001, 257.600006,  10.799999])
 y: array([157.585022, -19.200001, 257.585022,  10.799999])
self = <climada.hazard.test.test_tc_tracks.TestFuncs testMethod=test_generate_centroids>

    def test_generate_centroids(self):
        """Test centroids generation feature."""
        storms = ["1988169N14259", "2002073S16161", "2002143S07157"]
        tc_track = tc.TCTracks.from_ibtracs_netcdf(
            storm_id=storms, provider=["usa", "bom"]
        )
        cen = tc_track.generate_centroids(10, 1)
        cen_bounds = (157.585022, -19.200001, 257.585022, 10.799999)
        self.assertEqual(cen.size, 44)
        self.assertEqual(np.unique(cen.lat).size, 4)
        self.assertEqual(np.unique(cen.lon).size, 11)
        np.testing.assert_array_equal(np.diff(np.unique(cen.lat)), 10)
        np.testing.assert_array_equal(np.diff(np.unique(cen.lon)), 10)
>       np.testing.assert_array_almost_equal(cen.total_bounds, cen_bounds)

climada/hazard/test/test_tc_tracks.py:727: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../../micromamba/envs/climada_env_3.10/lib/python3.10/contextlib.py:79: in inner
    return func(*args, **kwds)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_array_almost_equal.<locals>.compare at 0x7fa6702e5120>, array([157.6000061 , -19.20000076, 257.6000061 ,  10.79999924]), (157.585022, -19.200001, 257.585022, 10.799999))
kwds = {'err_msg': '', 'header': 'Arrays are not almost equal to 6 decimals', 'precision': 6, 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Arrays are not almost equal to 6 decimals
E           
E           Mismatched elements: 2 / 4 (50%)
E           Max absolute difference: 0.0149841
E           Max relative difference: 9.50858357e-05
E            x: array([157.600006, -19.200001, 257.600006,  10.799999])
E            y: array([157.585022, -19.200001, 257.585022,  10.799999])

../../../micromamba/envs/climada_env_3.10/lib/python3.10/contextlib.py:79: AssertionError

AssertionError: 
Arrays are not almost equal to 6 decimals

Mismatched elements: 3 / 4 (75%)
Max absolute difference: 0.01499905
Max relative difference: 0.00085561
 x: array([153.600006, -23.200001, 258.699997,  17.5     ])
 y: array([153.585022, -23.200001, 258.714996,  17.514986])
self = <climada.hazard.test.test_tc_tracks.TestFuncs testMethod=test_get_extent>

    def test_get_extent(self):
        """Test extent/bounds attributes."""
        storms = ["1988169N14259", "2002073S16161", "2002143S07157"]
        tc_track = tc.TCTracks.from_ibtracs_netcdf(
            storm_id=storms, provider=["usa", "bom"]
        )
        bounds = (153.585022, -23.200001, 258.714996, 17.514986)
        bounds_buf = (153.485022, -23.300001, 258.814996, 17.614986)
>       np.testing.assert_array_almost_equal(tc_track.bounds, bounds)

climada/hazard/test/test_tc_tracks.py:706: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../../micromamba/envs/climada_env_3.10/lib/python3.10/contextlib.py:79: in inner
    return func(*args, **kwds)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_array_almost_equal.<locals>.compare at 0x7fa6ac439870>, (153.60000610351562, -23.200000762939453, 258.6999969482422, 17.5), (153.585022, -23.200001, 258.714996, 17.514986))
kwds = {'err_msg': '', 'header': 'Arrays are not almost equal to 6 decimals', 'precision': 6, 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Arrays are not almost equal to 6 decimals
E           
E           Mismatched elements: 3 / 4 (75%)
E           Max absolute difference: 0.01499905
E           Max relative difference: 0.00085561
E            x: array([153.600006, -23.200001, 258.699997,  17.5     ])
E            y: array([153.585022, -23.200001, 258.714996,  17.514986])

../../../micromamba/envs/climada_env_3.10/lib/python3.10/contextlib.py:79: AssertionError