Bump to GMT 6.5.0 #2961

seisman · 2024-01-07T13:50:23Z

🎉 GMT 6.5.0 has been released! It is installable from the conda-forge channel using the following command:

mamba install -c conda-forge gmt=6.5.0

To-Do for bumping the GMT version in CI:

The text was updated successfully, but these errors were encountered:

seisman · 2024-01-07T15:55:38Z

Probably need to see if there is GMT 6.5.1 (GenericMappingTools/gmt#8265).

Edit: Likely no. See GenericMappingTools/gmt#8266.

weiji14 · 2024-01-07T20:14:30Z

~55 Failing tests from #2962 that need to be fixed:

Linux - https://github.com/GenericMappingTools/pygmt/actions/runs/7438683470/job/20238478726?pr=2962#step:8:727

==================================== ERRORS ====================================
_______________ ERROR at setup of test_grdimage_image_dataarray ________________

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int8] ____

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint16] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int16] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint32] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int32] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float32] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float64] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
=================================== FAILURES ===================================
______________________________ test_colorbar_box _______________________________
Error: Image dimensions did not match.
  Expected shape: (188, 151)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box/baseline.png
  Actual shape: (166, 112)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box/result.png
_________________________ test_colorbar_box_with_fill __________________________
Error: Image dimensions did not match.
  Expected shape: (182, 145)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box_with_fill/baseline.png
  Actual shape: (160, 106)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box_with_fill/result.png
____________________ test_colorbar_truncated_to_zlow_zhigh _____________________
Error: Image dimensions did not match.
  Expected shape: (268, 171)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh/baseline.png
  Actual shape: (248, 111)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh/result.png
________________________ test_colorbar_scaled_z_values _________________________
Error: Image dimensions did not match.
  Expected shape: (268, 149)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_scaled_z_values/baseline.png
  Actual shape: (248, 103)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_scaled_z_values/result.png
________________________ test_colorbar_shading_boolean _________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_boolean/baseline.png
  Actual shape: (1993, 1861)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_boolean/result.png
__________________________ test_colorbar_shading_list __________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_list/baseline.png
  Actual shape: (1993, 1861)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_list/result.png
______________________________ test_earth_age_01d ______________________________

    def test_earth_age_01d():
        """
        Test some properties of the earth age 01d data.
        """
        data = load_earth_age(resolution="01d")
        assert data.name == "seafloor_age"
        assert data.attrs["units"] == "Myr"
        assert data.attrs["long_name"] == "age of seafloor crust"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), 0.17, atol=0.01)

../pygmt/tests/test_datasets_earth_age.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f2112320cc0>, array(0.37000275, dtype=float32), array(0.17))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.20000275
E           Max relative difference: 1.17648674
E            x: array(0.370003, dtype=float32)
E            y: array(0.17)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_age_01d_with_region ________________________

    def test_earth_age_01d_with_region():
        """
        Test loading low-resolution earth age with 'region'.
        """
        data = load_earth_age(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 11.29, atol=0.01)

../pygmt/tests/test_datasets_earth_age.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f2112308720>, array(11.130005, dtype=float32), array(11.29))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.15999512
E           Max relative difference: 0.0141714
E            x: array(11.130005, dtype=float32)
E            y: array(11.29)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________________ test_earth_faa_01d ______________________________

    def test_earth_faa_01d():
        """
        Test some properties of the free air anomaly 01d data.
        """
        data = load_earth_free_air_anomaly(resolution="01d")
        assert data.name == "free_air_anomaly"
        assert data.attrs["long_name"] == "IGPP Earth Free-Air Anomaly"
        assert data.attrs["units"] == "mGal"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -275.85, atol=0.025)

../pygmt/tests/test_datasets_earth_free_air_anomaly.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123d3420>, array(-188.85, dtype=float32), array(-275.85))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 86.9999939
E           Max relative difference: 0.31538878
E            x: array(-188.85, dtype=float32)
E            y: array(-275.85)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_faa_01d_with_region ________________________

    def test_earth_faa_01d_with_region():
        """
        Test loading low-resolution earth free air anomaly with 'region'.
        """
        data = load_earth_free_air_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -58.475, atol=0.025)

../pygmt/tests/test_datasets_earth_free_air_anomaly.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f2112322de0>, array(-36.125, dtype=float32), array(-58.475))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 22.35
E           Max relative difference: 0.38221462
E            x: array(-36.125, dtype=float32)
E            y: array(-58.475)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________________ test_earth_geoid_01d _____________________________

    def test_earth_geoid_01d():
        """
        Test some properties of the earth geoid 01d data.
        """
        data = load_earth_geoid(resolution="01d")
        assert data.name == "earth_geoid"
        assert data.attrs["units"] == "m"
        assert data.attrs["long_name"] == "EGM2008 Earth Geoid"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -106.45, atol=0.01)

../pygmt/tests/test_datasets_earth_geoid.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f40e0>, array(-106.06, dtype=float32), array(-106.45))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.39000244
E           Max relative difference: 0.00366371
E            x: array(-106.06, dtype=float32)
E            y: array(-106.45)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_______________________ test_earth_geoid_01d_with_region _______________________

    def test_earth_geoid_01d_with_region():
        """
        Test loading low-resolution earth geoid with 'region'.
        """
        data = load_earth_geoid(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 4.87, atol=0.01)

../pygmt/tests/test_datasets_earth_geoid.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f4720>, array(5.5699997, dtype=float32), array(4.87))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.69999969
E           Max relative difference: 0.1437371
E            x: array(5.57, dtype=float32)
E            y: array(4.87)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________________ test_earth_mag_01d ______________________________

    def test_earth_mag_01d():
        """
        Test some properties of the magnetic anomaly 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -384.0, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:24: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123d39c0>, array(-336.20007, dtype=float32), array(-384.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 47.79992676
E           Max relative difference: 0.12447898
E            x: array(-336.20007, dtype=float32)
E            y: array(-384.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_mag_01d_with_region ________________________

    def test_earth_mag_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly with 'region'.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -180.4, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:37: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123d3600>, array(-54.400024, dtype=float32), array(-180.4))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 125.99997559
E           Max relative difference: 0.69844776
E            x: array(-54.400024, dtype=float32)
E            y: array(-180.4)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________________ test_earth_mag4km_01d _____________________________

    def test_earth_mag4km_01d():
        """
        Test some properties of the magnetic anomaly 4km 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", data_source="emag2_4km")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -799.2, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f4f40>, array(-436.80005, dtype=float32), array(-799.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 362.39995117
E           Max relative difference: 0.45345339
E            x: array(-436.80005, dtype=float32)
E            y: array(-799.2)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_mag4km_01d_with_region _______________________

    def test_earth_mag4km_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly 4km 01d with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="emag2_4km",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -153.2, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:87: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f40e0>, array(-49.600098, dtype=float32), array(-153.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 103.59990234
E           Max relative difference: 0.67623957
E            x: array(-49.600098, dtype=float32)
E            y: array(-153.2)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________________ test_earth_mag_01d_wdmam ___________________________

    def test_earth_mag_01d_wdmam():
        """
        Test some properties of the WDMAM 01d data.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d", registration="gridline", data_source="wdmam"
        )
        assert data.name == "wdmam"
        assert data.attrs["long_name"] == "World Digital Magnetic Anomaly Map"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -794.0, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f5760>, array(-446.6001, dtype=float32), array(-794.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 347.39990234
E           Max relative difference: 0.43753136
E            x: array(-446.6001, dtype=float32)
E            y: array(-794.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________ test_earth_mag_01d_wdmam_with_region _____________________

    def test_earth_mag_01d_wdmam_with_region():
        """
        Test loading low-resolution WDMAM grid with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="wdmam",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -145.6, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:142: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f5c60>, array(-56., dtype=float32), array(-145.6))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 89.6
E           Max relative difference: 0.61538462
E            x: array(-56., dtype=float32)
E            y: array(-145.6)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_igpp_synbath[igpp] ___________________

data_source = 'igpp'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6840>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_________________ test_earth_relief_01d_igpp_synbath[synbath] __________________

data_source = 'synbath'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6200>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_relief_01d_gebco[gebco] ______________________

data_source = 'gebco'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f4ea0>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________ test_earth_relief_01d_gebco[gebcosi] _____________________

data_source = 'gebcosi'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f58a0>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________ test_earth_relief_01d_with_region_srtm ____________________

    def test_earth_relief_01d_with_region_srtm():
        """
        Test loading low-resolution earth relief with 'region' with IGPP data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="igpp",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6520>, array(-5136., dtype=float32), array(-5151))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_with_region_gebco ____________________

    def test_earth_relief_01d_with_region_gebco():
        """
        Test loading low-resolution earth relief with 'region' with GEBCO data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="gebco",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6480>, array(-5136., dtype=float32), array(-5151.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________________ test_earth_relief_30m _____________________________

    def test_earth_relief_30m():
        """
        Test some properties of the earth relief 30m data.
        """
        data = load_earth_relief(resolution="30m")
        assert data.shape == (361, 721)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 90.5, 0.5))
        npt.assert_allclose(data.lon, np.arange(-180, 180.5, 0.5))
>       npt.assert_allclose(data.min(), -9454.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:92: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6700>, array(-8279.5, dtype=float32), array(-9454.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1175.
E           Max relative difference: 0.12427944
E            x: array(-8279.5, dtype=float32)
E            y: array(-9454.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_gebcosi_15m_with_region ______________________

    def test_earth_gebcosi_15m_with_region():
        """
        Test loading a subregion of 15 arc-minutes resolution earth_gebcosi grid.
        """
        data = load_earth_relief(
            resolution="15m",
            region=[85, 87, -88, -84],
            registration="pixel",
            data_source="gebcosi",
        )
        assert data.shape == (16, 8)
        assert data.gmt.registration == 1
        npt.assert_allclose(data.lat, np.arange(-87.875, -84, 0.25))
        npt.assert_allclose(data.lon, np.arange(85.125, 87, 0.25))
>       npt.assert_allclose(data.min(), -531, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6480>, array(-492., dtype=float32), array(-531))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 39.
E           Max relative difference: 0.07344633
E            x: array(-492., dtype=float32)
E            y: array(-531)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_relief_30s_synbath _________________________

    def test_earth_relief_30s_synbath():
        """
        Test some properties of the earth relief 30s data with SYNBATH data.
        """
        data = load_earth_relief(
            region=[-95, -94, -1.5, -1],
            resolution="30s",
            registration="pixel",
            data_source="synbath",
        )
        assert data.shape == (60, 120)
>       npt.assert_allclose(data.min(), -3552.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f6520>, array(-3546.5, dtype=float32), array(-3552.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 6.
E           Max relative difference: 0.00168895
E            x: array(-3546.5, dtype=float32)
E            y: array(-3552.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
__________________ test_earth_relief_03s_default_registration __________________

    def test_earth_relief_03s_default_registration():
        """
        Test that the grid returned by default for the 3 arc-second resolution has a
        "gridline" registration.
        """
        data = load_earth_relief(resolution="03s", region=[-10, -9.8, 4.9, 5])
        assert data.shape == (121, 241)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.coords["lat"].data.min(), 4.9)
        npt.assert_allclose(data.coords["lat"].data.max(), 5)
        npt.assert_allclose(data.coords["lon"].data.min(), -10)
        npt.assert_allclose(data.coords["lon"].data.max(), -9.8)
>       npt.assert_allclose(data.min(), -2070.0, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f4a40>, array(-2131.926, dtype=float32), array(-2070.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 61.92602539
E           Max relative difference: 0.02991595
E            x: array(-2131.926, dtype=float32)
E            y: array(-2070.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_vertical_gravity_gradient_01d ___________________

    def test_earth_vertical_gravity_gradient_01d():
        """
        Test some properties of the earth vgg 01d data.
        """
        data = load_earth_vertical_gravity_gradient(resolution="01d")
        assert data.name == "earth_vgg"
        assert data.attrs["units"] == "Eotvos"
        assert data.attrs["long_name"] == "IGPP Earth Vertical Gravity Gradient"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -137.125, atol=1 / 32)

../pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f77e0>, array(-40.1875, dtype=float32), array(-137.125))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 96.9375
E           Max relative difference: 0.70692799
E            x: array(-40.1875, dtype=float32)
E            y: array(-137.125)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________ test_earth_vertical_gravity_gradient_01d_with_region _____________

    def test_earth_vertical_gravity_gradient_01d_with_region():
        """
        Test loading low-resolution earth vgg with 'region'.
        """
        data = load_earth_vertical_gravity_gradient(
            resolution="01d", region=[-10, 10, -5, 5]
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -15.6875, atol=1 / 32)

../pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py:38: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x7f21123f7d80>, array(-5.34375, dtype=float32), array(-15.6875))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 10.34375
E           Max relative difference: 0.65936255
E            x: array(-5.34375, dtype=float32)
E            y: array(-15.6875)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________ test_geopandas_plot_int_dtypes[int32] _____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32/baseline.png
  Actual shape: (1786, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32/result.png
____________________ test_geopandas_plot_int_dtypes[int64] _____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64/baseline.png
  Actual shape: (1786, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64/result.png
____________________ test_geopandas_plot_int_dtypes[dtype2] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2/baseline.png
  Actual shape: (1786, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2/result.png
____________________ test_geopandas_plot_int_dtypes[dtype3] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3/baseline.png
  Actual shape: (1786, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3/result.png
______________________ test_geopandas_plot_int64_as_float ______________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float/baseline.png
  Actual shape: (1786, 1911)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float/result.png
_________________________________ test_grd2cpt _________________________________
Error: Image dimensions did not match.
  Expected shape: (1102, 1836)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grd2cpt.test_grd2cpt/baseline.png
  Actual shape: (1096, 1836)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grd2cpt.test_grd2cpt/result.png
________________________________ test_grdimage _________________________________
Error: Image files did not match.
  RMS Value: 20.959094341042217
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage/result-failed-diff.png
  Tolerance: 
    2
_____________________________ test_grdimage_slice ______________________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_slice/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_slice/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_slice/result-failed-diff.png
  Tolerance: 
    2
______________________________ test_grdimage_file ______________________________
Error: Image files did not match.
  RMS Value: 19.334042656785233
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_file/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_file/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_file/result-failed-diff.png
  Tolerance: 
    2
____________________ test_grdimage_default_no_shading[None] ____________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None/result-failed-diff.png
  Tolerance: 
    2
___________________ test_grdimage_default_no_shading[False] ____________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False/result-failed-diff.png
  Tolerance: 
    2
_________________________ test_grdimage_global_subset __________________________
Error: Image files did not match.
  RMS Value: 22.436108492146694
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_global_subset/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_global_subset/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage.test_grdimage_global_subset/result-failed-diff.png
  Tolerance: 
    2
_____________________________ test_grdimage_image ______________________________
Error: Image files did not match.
  RMS Value: 8.476142380587897
  Expected:  
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage_image.test_grdimage_image/baseline.png
  Actual:    
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage_image.test_grdimage_image/result.png
  Difference:
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grdimage_image.test_grdimage_image/result-failed-diff.png
  Tolerance: 
    2
__________________________ test_makecpt_plot_colorbar __________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1190)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_plot_colorbar/baseline.png
  Actual shape: (100, 1189)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_plot_colorbar/result.png
________________ test_makecpt_plot_colorbar_scaled_with_series _________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_plot_colorbar_scaled_with_series/baseline.png
  Actual shape: (100, 1226)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_plot_colorbar_scaled_with_series/result.png
______________________ test_makecpt_truncated_zlow_zhigh _______________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_truncated_zlow_zhigh/baseline.png
  Actual shape: (100, 1226)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_truncated_zlow_zhigh/result.png
_______________________ test_makecpt_reverse_color_only ________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_reverse_color_only/baseline.png
  Actual shape: (100, 1226)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_reverse_color_only/result.png
_____________________ test_makecpt_reverse_color_and_zsign _____________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_reverse_color_and_zsign/baseline.png
  Actual shape: (100, 1226)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_reverse_color_and_zsign/result.png
___________________________ test_makecpt_continuous ____________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_continuous/baseline.png
  Actual shape: (100, 1226)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_continuous/result.png
___________________________ test_makecpt_categorical ___________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1202)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_categorical/baseline.png
  Actual shape: (86, 1151)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_categorical/result.png
_____________________________ test_makecpt_cyclic ______________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1283)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_cyclic/baseline.png
  Actual shape: (100, 1274)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_makecpt.test_makecpt_cyclic/result.png
__________________ test_subplot_outside_plotting_positioning ___________________
Error: Image dimensions did not match.
  Expected shape: (777, 1261)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_subplot.test_subplot_outside_plotting_positioning/baseline.png
  Actual shape: (755, 1261)
    /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_subplot.test_subplot_outside_plotting_positioning/result.png
_________________ test_x2sys_cross_input_file_output_dataframe _________________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_input_file_output_dataframe():
        """
        Run x2sys_cross by passing in a filename, and output internal crossovers to a
        pandas.DataFrame.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, coe="i")
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (14294, 12)
E           assert (14338, 12) == (14294, 12)
E             At index 0 diff: 14338 != 14294
E             Full diff:
E             - (14294, 12)
E             + (14338, 12)

../pygmt/tests/test_x2sys_cross.py:68: AssertionError
----------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
_______________ test_x2sys_cross_region_interpolation_numpoints ________________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_region_interpolation_numpoints():
        """
        Test that x2sys_cross's region (R), interpolation (l) and numpoints (W) arguments
        work.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(
                tracks=["@tut_ship.xyz"],
                tag=tag,
                coe="i",
                region=[245, 250, 20, 25],
                interpolation="a",  # Akima spline interpolation
                numpoints=5,  # Use up to 5 data points in interpolation
            )
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (3867, 12)
E           assert (3882, 12) == (3867, 12)
E             At index 0 diff: 3882 != 3867
E             Full diff:
E             - (3867, 12)
E             ?    ^^
E             + (3882, 12)
E             ?    ^^

../pygmt/tests/test_x2sys_cross.py:215: AssertionError
----------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
_________________________ test_x2sys_cross_trackvalues _________________________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_trackvalues():
        """
        Test that x2sys_cross's trackvalues (Z) argument work.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, trackvalues=True)
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (14294, 12)
E           assert (14338, 12) == (14294, 12)
E             At index 0 diff: 14338 != 14294
E             Full diff:
E             - (14294, 12)
E             + (14338, 12)

../pygmt/tests/test_x2sys_cross.py:232: AssertionError
----------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
=============================== warnings summary ===============================
../../../../micromamba/envs/pygmt/lib/python3.12/site-packages/dateutil/tz/tz.py:37
  /home/runner/micromamba/envs/pygmt/lib/python3.12/site-packages/dateutil/tz/tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).
    EPOCH = datetime.datetime.utcfromtimestamp(0)

pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias
  <doctest pygmt.helpers.decorators.use_alias[1]>:1: SyntaxWarning: Short-form parameter (R) is not recommended. Use long-form parameter 'region' instead.

pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias
  <doctest pygmt.helpers.decorators.use_alias[1]>:1: SyntaxWarning: Short-form parameter (J) is not recommended. Use long-form parameter 'projection' instead.

pygmt/tests/test_session_management.py::test_session_multiprocessing
pygmt/tests/test_session_management.py::test_session_multiprocessing
  /home/runner/micromamba/envs/pygmt/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=2382) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
________________________ test_accessor_sliced_datacube _________________________
----------------------------- Captured stderr call -----------------------------
Warning: WARNING]: No 3-D array in file /home/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/eraint_uvz.nc.  Selecting first 3-D slice in the 4-D array z
______________________ test_call_module_invalid_arguments ______________________
----------------------------- Captured stderr call -----------------------------
Error:  [ERROR]: Cannot find file bogus-data.bla
________________________ test_call_module_error_message ________________________
----------------------------- Captured stderr call -----------------------------
Error:  [ERROR]: Cannot find file bogus-data.bla
__________________________ test_extract_region_fails ___________________________
----------------------------- Captured stderr call -----------------------------
Error: ession [ERROR]: No hidden PS file found
____________________________ test_get_default_fails ____________________________
----------------------------- Captured stderr call -----------------------------
Error: ession [ERROR]: Unrecognized keyword NOT_A_VALID_NAME
_________________________ test_figure_savefig_geotiff __________________________
----------------------------- Captured stdout call -----------------------------
Input file size is 1331, 1257
0...10...20...30...40...50...60...70...80...90...100 - done.
___________________________ test_grdsample_file_out ____________________________
0.29s call     pygmt/tests/test_solar.py::test_solar_terminators
0.28s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective_and_zsize
0.28s call     pygmt/tests/test_subplot.py::test_subplot_autolabel_margins_title
0.28s call     pygmt/tests/test_grdview.py::test_grdview_surface_mesh_plot_styled_with_meshpen
0.28s call     pygmt/tests/test_grdview.py::test_grdview_surface_plot_styled_with_contourpen
0.27s call     pygmt/tests/test_x2sys_cross.py::test_x2sys_cross_region_interpolation_numpoints
0.27s call     pygmt/tests/test_ternary.py::test_ternary_3_labels
0.27s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane_with_colored_frontal_facade
0.27s call     pygmt/tests/test_plot3d.py::test_plot3d_matrix_color
0.26s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane_styled_with_facadepen
0.26s call     pygmt/tests/test_text.py::test_text_nonascii
0.26s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane
0.26s call     pygmt/tests/test_grdview.py::test_grdview_grid_dataarray
0.26s call     pygmt/tests/test_figure.py::test_figure_shift_origin
0.25s call     pygmt/tests/test_solar.py::test_solar_default_terminator
0.25s call     pygmt/tests/test_ternary.py::test_ternary_1_label
0.25s call     pygmt/tests/test_solar.py::test_solar_set_terminator_datetime[terminator_datetime1]
0.25s call     pygmt/tests/test_solar.py::test_solar_set_terminator_datetime[terminator_datetime_string]
0.25s call     pygmt/tests/test_rose.py::test_rose_plot_with_transparency
0.25s call     pygmt/tests/test_ternary.py::test_ternary
0.25s call     pygmt/tests/test_plot3d.py::test_plot3d_varying_intensity
0.25s call     pygmt/tests/test_plot.py::test_plot_red_circles
0.25s call     pygmt/tests/test_text.py::test_text_nonstr_text
0.25s call     pygmt/tests/test_inset.py::test_inset_context_manager
0.25s call     pygmt/tests/test_tilemap.py::test_tilemap_ogc_wgs84
0.25s call     pygmt/tests/test_grdview.py::test_grdview_with_cmap_for_perspective_surface_plot
0.25s call     pygmt/tests/test_psconvert.py::test_psconvert_twice
0.24s call     pygmt/tests/test_plot.py::test_plot_sizes
0.24s call     pygmt/tests/test_histogram.py::test_histogram[Series]
0.24s call     pygmt/tests/test_plot.py::test_plot_colors_sizes
0.24s call     pygmt/tests/test_plot.py::test_plot_colors
0.24s call     pygmt/tests/test_plot.py::test_plot_matrix_color
0.24s call     pygmt/tests/test_session_management.py::test_begin_end
0.24s call     pygmt/tests/test_histogram.py::test_histogram[list]
0.24s call     pygmt/tests/test_logo.py::test_logo
0.24s call     pygmt/tests/test_timestamp.py::test_timestamp_justification
0.24s call     pygmt/tests/test_plot.py::test_plot_from_file
0.24s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective
0.24s call     pygmt/tests/test_grd2cpt.py::test_grd2cpt
0.23s call     pygmt/tests/test_plot.py::test_plot_datetime
0.23s call     pygmt/tests/test_text.py::test_text_justify_parsed_from_textfile
0.23s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective_and_zscale
0.23s call     pygmt/tests/test_plot.py::test_plot_colors_sizes_proj
0.22s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[array2d]
0.22s call     pygmt/tests/test_helpers.py::test_non_ascii_to_octal
0.22s call     pygmt/tests/test_basemap.py::test_basemap_power_axis
0.22s call     pygmt/tests/test_tilemap.py::test_tilemap_no_clip[True]
0.22s call     pygmt/tests/test_grdimage.py::test_grdimage_default_no_shading[None]
0.22s call     pygmt/clib/session.py::pygmt.clib.session.Session.extract_region
0.22s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dict_mecha]
0.22s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dict_mecha_mixed]
0.22s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dataframe]
0.21s call     pygmt/tests/test_plot3d.py::test_plot3d_projection
0.21s call     pygmt/tests/test_grdimage.py::test_grdimage_default_no_shading[False]
0.21s call     pygmt/tests/test_grdimage.py::test_grdimage_slice
0.21s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[pandas]
0.21s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[dict_full]
0.21s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha_file
0.21s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[array1d]
0.21s call     pygmt/tests/test_plot3d.py::test_plot3d_colors
0.20s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[dict_mecha]
0.20s call     pygmt/tests/test_plot.py::test_plot_projection

(1827 durations < 0.2s hidden.  Use -vv to show these durations.)
= 55 failed, 601 passed, 4 skipped, 4 xfailed, 2 xpassed, 5 warnings, 8 errors in 95.02s (0:01:35) =

macOS - https://github.com/GenericMappingTools/pygmt/actions/runs/7438683470/job/20238478792?pr=2962#step:8:727:

==================================== ERRORS ====================================
_______________ ERROR at setup of test_grdimage_image_dataarray ________________

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int8] ____

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint16] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int16] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint32] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int32] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float32] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float64] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

../pygmt/tests/test_grdimage_image.py:42: UnboundLocalError
=================================== FAILURES ===================================
______________________________ test_colorbar_box _______________________________
Error: Image dimensions did not match.
  Expected shape: (188, 151)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box/baseline.png
  Actual shape: (166, 112)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box/result.png
_________________________ test_colorbar_box_with_fill __________________________
Error: Image dimensions did not match.
  Expected shape: (182, 145)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box_with_fill/baseline.png
  Actual shape: (160, 106)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_box_with_fill/result.png
____________________ test_colorbar_truncated_to_zlow_zhigh _____________________
Error: Image dimensions did not match.
  Expected shape: (268, 171)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh/baseline.png
  Actual shape: (248, 111)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh/result.png
________________________ test_colorbar_scaled_z_values _________________________
Error: Image dimensions did not match.
  Expected shape: (268, 149)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_scaled_z_values/baseline.png
  Actual shape: (248, 103)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_scaled_z_values/result.png
________________________ test_colorbar_shading_boolean _________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_boolean/baseline.png
  Actual shape: (1993, 1861)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_boolean/result.png
__________________________ test_colorbar_shading_list __________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_list/baseline.png
  Actual shape: (1993, 1861)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_colorbar.test_colorbar_shading_list/result.png
______________________________ test_earth_age_01d ______________________________

    def test_earth_age_01d():
        """
        Test some properties of the earth age 01d data.
        """
        data = load_earth_age(resolution="01d")
        assert data.name == "seafloor_age"
        assert data.attrs["units"] == "Myr"
        assert data.attrs["long_name"] == "age of seafloor crust"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), 0.17, atol=0.01)

../pygmt/tests/test_datasets_earth_age.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a628680>, array(0.37000275, dtype=float32), array(0.17))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.20000275
E           Max relative difference: 1.17648674
E            x: array(0.370003, dtype=float32)
E            y: array(0.17)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_age_01d_with_region ________________________

    def test_earth_age_01d_with_region():
        """
        Test loading low-resolution earth age with 'region'.
        """
        data = load_earth_age(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 11.29, atol=0.01)

../pygmt/tests/test_datasets_earth_age.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bc860>, array(11.130002, dtype=float32), array(11.29))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.15999798
E           Max relative difference: 0.01417165
E            x: array(11.130002, dtype=float32)
E            y: array(11.29)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________________ test_earth_faa_01d ______________________________

    def test_earth_faa_01d():
        """
        Test some properties of the free air anomaly 01d data.
        """
        data = load_earth_free_air_anomaly(resolution="01d")
        assert data.name == "free_air_anomaly"
        assert data.attrs["long_name"] == "IGPP Earth Free-Air Anomaly"
        assert data.attrs["units"] == "mGal"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -275.85, atol=0.025)

../pygmt/tests/test_datasets_earth_free_air_anomaly.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bcb80>, array(-188.85, dtype=float32), array(-275.85))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 86.9999939
E           Max relative difference: 0.31538878
E            x: array(-188.85, dtype=float32)
E            y: array(-275.85)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_faa_01d_with_region ________________________

    def test_earth_faa_01d_with_region():
        """
        Test loading low-resolution earth free air anomaly with 'region'.
        """
        data = load_earth_free_air_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -58.475, atol=0.025)

../pygmt/tests/test_datasets_earth_free_air_anomaly.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a629120>, array(-36.125004, dtype=float32), array(-58.475))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 22.34999619
E           Max relative difference: 0.38221456
E            x: array(-36.125004, dtype=float32)
E            y: array(-58.475)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________________ test_earth_geoid_01d _____________________________

    def test_earth_geoid_01d():
        """
        Test some properties of the earth geoid 01d data.
        """
        data = load_earth_geoid(resolution="01d")
        assert data.name == "earth_geoid"
        assert data.attrs["units"] == "m"
        assert data.attrs["long_name"] == "EGM2008 Earth Geoid"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -106.45, atol=0.01)

../pygmt/tests/test_datasets_earth_geoid.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bd580>, array(-106.06, dtype=float32), array(-106.45))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.39000244
E           Max relative difference: 0.00366371
E            x: array(-106.06, dtype=float32)
E            y: array(-106.45)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_______________________ test_earth_geoid_01d_with_region _______________________

    def test_earth_geoid_01d_with_region():
        """
        Test loading low-resolution earth geoid with 'region'.
        """
        data = load_earth_geoid(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 4.87, atol=0.01)

../pygmt/tests/test_datasets_earth_geoid.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bdd00>, array(5.5699997, dtype=float32), array(4.87))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.69999969
E           Max relative difference: 0.1437371
E            x: array(5.57, dtype=float32)
E            y: array(4.87)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________________ test_earth_mag_01d ______________________________

    def test_earth_mag_01d():
        """
        Test some properties of the magnetic anomaly 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -384.0, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:24: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bce00>, array(-336.20007, dtype=float32), array(-384.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 47.79992676
E           Max relative difference: 0.12447898
E            x: array(-336.20007, dtype=float32)
E            y: array(-384.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_mag_01d_with_region ________________________

    def test_earth_mag_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly with 'region'.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -180.4, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:37: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bec00>, array(-54.400013, dtype=float32), array(-180.4))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 125.99998703
E           Max relative difference: 0.69844782
E            x: array(-54.400013, dtype=float32)
E            y: array(-180.4)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________________ test_earth_mag4km_01d _____________________________

    def test_earth_mag4km_01d():
        """
        Test some properties of the magnetic anomaly 4km 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", data_source="emag2_4km")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -799.2, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6be840>, array(-436.80005, dtype=float32), array(-799.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 362.39995117
E           Max relative difference: 0.45345339
E            x: array(-436.80005, dtype=float32)
E            y: array(-799.2)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_mag4km_01d_with_region _______________________

    def test_earth_mag4km_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly 4km 01d with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="emag2_4km",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -153.2, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:87: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bdda0>, array(-49.60004, dtype=float32), array(-153.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 103.59995956
E           Max relative difference: 0.67623994
E            x: array(-49.60004, dtype=float32)
E            y: array(-153.2)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________________ test_earth_mag_01d_wdmam ___________________________

    def test_earth_mag_01d_wdmam():
        """
        Test some properties of the WDMAM 01d data.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d", registration="gridline", data_source="wdmam"
        )
        assert data.name == "wdmam"
        assert data.attrs["long_name"] == "World Digital Magnetic Anomaly Map"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -794.0, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bc9a0>, array(-446.6001, dtype=float32), array(-794.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 347.39990234
E           Max relative difference: 0.43753136
E            x: array(-446.6001, dtype=float32)
E            y: array(-794.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________ test_earth_mag_01d_wdmam_with_region _____________________

    def test_earth_mag_01d_wdmam_with_region():
        """
        Test loading low-resolution WDMAM grid with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="wdmam",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -145.6, atol=0.2)

../pygmt/tests/test_datasets_earth_magnetic_anomaly.py:142: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6be8e0>, array(-56.000046, dtype=float32), array(-145.6))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 89.59995422
E           Max relative difference: 0.6153843
E            x: array(-56.000046, dtype=float32)
E            y: array(-145.6)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_igpp_synbath[igpp] ___________________

data_source = 'igpp'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bfce0>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_________________ test_earth_relief_01d_igpp_synbath[synbath] __________________

data_source = 'synbath'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bef20>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_relief_01d_gebco[gebco] ______________________

data_source = 'gebco'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bdbc0>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________________ test_earth_relief_01d_gebco[gebcosi] _____________________

data_source = 'gebcosi'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6befc0>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________ test_earth_relief_01d_with_region_srtm ____________________

    def test_earth_relief_01d_with_region_srtm():
        """
        Test loading low-resolution earth relief with 'region' with IGPP data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="igpp",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6be840>, array(-5136., dtype=float32), array(-5151))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_with_region_gebco ____________________

    def test_earth_relief_01d_with_region_gebco():
        """
        Test loading low-resolution earth relief with 'region' with GEBCO data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="gebco",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151.0, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6be8e0>, array(-5136., dtype=float32), array(-5151.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________________ test_earth_relief_30m _____________________________

    def test_earth_relief_30m():
        """
        Test some properties of the earth relief 30m data.
        """
        data = load_earth_relief(resolution="30m")
        assert data.shape == (361, 721)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 90.5, 0.5))
        npt.assert_allclose(data.lon, np.arange(-180, 180.5, 0.5))
>       npt.assert_allclose(data.min(), -9454.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:92: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a7c4180>, array(-8279.5, dtype=float32), array(-9454.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1175.
E           Max relative difference: 0.12427944
E            x: array(-8279.5, dtype=float32)
E            y: array(-9454.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
______________________ test_earth_gebcosi_15m_with_region ______________________

    def test_earth_gebcosi_15m_with_region():
        """
        Test loading a subregion of 15 arc-minutes resolution earth_gebcosi grid.
        """
        data = load_earth_relief(
            resolution="15m",
            region=[85, 87, -88, -84],
            registration="pixel",
            data_source="gebcosi",
        )
        assert data.shape == (16, 8)
        assert data.gmt.registration == 1
        npt.assert_allclose(data.lat, np.arange(-87.875, -84, 0.25))
        npt.assert_allclose(data.lon, np.arange(85.125, 87, 0.25))
>       npt.assert_allclose(data.min(), -531, atol=1.0)

../pygmt/tests/test_datasets_earth_relief.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a7c4ae0>, array(-492., dtype=float32), array(-531))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 39.
E           Max relative difference: 0.07344633
E            x: array(-492., dtype=float32)
E            y: array(-531)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
________________________ test_earth_relief_30s_synbath _________________________

    def test_earth_relief_30s_synbath():
        """
        Test some properties of the earth relief 30s data with SYNBATH data.
        """
        data = load_earth_relief(
            region=[-95, -94, -1.5, -1],
            resolution="30s",
            registration="pixel",
            data_source="synbath",
        )
        assert data.shape == (60, 120)
>       npt.assert_allclose(data.min(), -3552.5, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a6bf9c0>, array(-3546.5, dtype=float32), array(-3552.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 6.
E           Max relative difference: 0.00168895
E            x: array(-3546.5, dtype=float32)
E            y: array(-3552.5)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
__________________ test_earth_relief_03s_default_registration __________________

    def test_earth_relief_03s_default_registration():
        """
        Test that the grid returned by default for the 3 arc-second resolution has a
        "gridline" registration.
        """
        data = load_earth_relief(resolution="03s", region=[-10, -9.8, 4.9, 5])
        assert data.shape == (121, 241)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.coords["lat"].data.min(), 4.9)
        npt.assert_allclose(data.coords["lat"].data.max(), 5)
        npt.assert_allclose(data.coords["lon"].data.min(), -10)
        npt.assert_allclose(data.coords["lon"].data.max(), -9.8)
>       npt.assert_allclose(data.min(), -2070.0, atol=0.5)

../pygmt/tests/test_datasets_earth_relief.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a7c4720>, array(-2131.926, dtype=float32), array(-2070.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 61.92602539
E           Max relative difference: 0.02991595
E            x: array(-2131.926, dtype=float32)
E            y: array(-2070.)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
___________________ test_earth_vertical_gravity_gradient_01d ___________________

    def test_earth_vertical_gravity_gradient_01d():
        """
        Test some properties of the earth vgg 01d data.
        """
        data = load_earth_vertical_gravity_gradient(resolution="01d")
        assert data.name == "earth_vgg"
        assert data.attrs["units"] == "Eotvos"
        assert data.attrs["long_name"] == "IGPP Earth Vertical Gravity Gradient"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -137.125, atol=1 / 32)

../pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a7c49a0>, array(-40.1875, dtype=float32), array(-137.125))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 96.9375
E           Max relative difference: 0.70692799
E            x: array(-40.1875, dtype=float32)
E            y: array(-137.125)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
_____________ test_earth_vertical_gravity_gradient_01d_with_region _____________

    def test_earth_vertical_gravity_gradient_01d_with_region():
        """
        Test loading low-resolution earth vgg with 'region'.
        """
        data = load_earth_vertical_gravity_gradient(
            resolution="01d", region=[-10, 10, -5, 5]
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -15.6875, atol=1 / 32)

../pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py:38: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (<function assert_allclose.<locals>.compare at 0x14a7c53a0>, array(-5.34375, dtype=float32), array(-15.6875))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 10.34375
E           Max relative difference: 0.65936255
E            x: array(-5.34375, dtype=float32)
E            y: array(-15.6875)

../../../../micromamba/envs/pygmt/lib/python3.12/contextlib.py:81: AssertionError
____________________ test_geopandas_plot_int_dtypes[int32] _____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32/baseline.png
  Actual shape: (1786, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32/result.png
____________________ test_geopandas_plot_int_dtypes[int64] _____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64/baseline.png
  Actual shape: (1786, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64/result.png
____________________ test_geopandas_plot_int_dtypes[dtype2] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2/baseline.png
  Actual shape: (1786, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2/result.png
____________________ test_geopandas_plot_int_dtypes[dtype3] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3/baseline.png
  Actual shape: (1786, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3/result.png
______________________ test_geopandas_plot_int64_as_float ______________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float/baseline.png
  Actual shape: (1786, 1911)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float/result.png
_________________________________ test_grd2cpt _________________________________
Error: Image dimensions did not match.
  Expected shape: (1102, 1836)
    /Users/runner/work/pygmt/pygmt/tmp-test-dir-with-unique-name/results/pygmt.tests.test_grd2cpt.test_grd2cpt/baseline.png
  Actual shape: (1096, 1836)
0.28s call     pygmt/tests/test_meca.py::test_meca_eventname[dataframe]
0.28s call     pygmt/tests/test_text.py::test_text_position
0.28s call     pygmt/tests/test_config.py::test_config_map_annot_offset
0.28s call     pygmt/tests/test_makecpt.py::test_makecpt_categorical
0.28s call     pygmt/tests/test_config.py::test_config_format_time_map
0.28s call     pygmt/tests/test_grdimage.py::test_grdimage_over_dateline
0.27s call     pygmt/tests/test_text.py::test_text_position_offset_with_line
0.27s call     pygmt/tests/test_clib.py::test_extract_region_two_figures
0.27s call     pygmt/src/grdfilter.py::pygmt.src.grdfilter.grdfilter
0.27s call     pygmt/tests/test_text.py::test_text_pen
0.26s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_default_style[str]
0.26s call     pygmt/tests/test_colorbar.py::test_colorbar_box
0.26s call     pygmt/tests/test_image.py::test_image
0.26s call     pygmt/tests/test_makecpt.py::test_makecpt_plot_colorbar
0.25s call     pygmt/tests/test_plot3d.py::test_plot3d_fail_1d_array_with_data
0.25s setup    pygmt/tests/test_geopandas.py::test_geopandas_plot_int_dtypes[int32]
0.25s call     pygmt/tests/test_subplot.py::test_subplot_direct
0.25s call     pygmt/tests/test_text.py::test_text_multiple_lines_of_text
0.24s call     pygmt/tests/test_wiggle.py::test_wiggle
0.24s call     pygmt/tests/test_text.py::test_text_angle_font_justify_from_textfile
0.24s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_default_style[Path]
0.24s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_default_style[Path]
0.24s call     pygmt/tests/test_makecpt.py::test_makecpt_plot_colorbar_scaled_with_series
0.24s call     pygmt/tests/test_makecpt.py::test_makecpt_reverse_color_only
0.24s call     pygmt/tests/test_makecpt.py::test_makecpt_truncated_zlow_zhigh
0.23s call     pygmt/tests/test_text.py::test_text_justify_array
0.23s call     pygmt/tests/test_clib_put_vector.py::test_put_vector_mixed_dtypes
0.23s call     pygmt/tests/test_plot.py::test_plot_varying_intensity
0.23s call     pygmt/tests/test_makecpt.py::test_makecpt_continuous
0.23s call     pygmt/tests/test_makecpt.py::test_makecpt_reverse_color_and_zsign
0.22s call     pygmt/tests/test_text.py::test_text_angle_justify_font_arrays
0.22s call     pygmt/tests/test_config.py::test_config_format_date_map
0.22s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_default_style[str]
0.22s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_non_default_style
0.22s call     pygmt/tests/test_timestamp.py::test_timestamp_text
0.22s call     pygmt/tests/test_timestamp.py::test_timestamp_deprecated_u
0.22s call     pygmt/tests/test_wiggle.py::test_wiggle_data_incols
0.21s call     pygmt/tests/test_text.py::test_text_justify_bottom_right_and_top_left
0.21s call     pygmt/tests/test_init.py::test_show_versions
0.21s call     pygmt/tests/test_timestamp.py::test_timestamp_text_truncated
0.21s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_non_default_style
0.21s call     pygmt/tests/test_text.py::test_text_round_clearance
0.21s call     pygmt/tests/test_datasets_earth_relief.py::test_earth_relief_03s_default_registration
0.21s call     pygmt/tests/test_timestamp.py::test_timestamp_deprecated_timestamp
0.21s call     pygmt/tests/test_timestamp.py::test_timestamp_label
0.21s call     pygmt/tests/test_figure.py::test_figure_savefig_filename_with_spaces
0.21s call     pygmt/tests/test_geopandas.py::test_geopandas_info_shapely[multipolygon-desired0]
0.21s call     pygmt/tests/test_text.py::test_text_fill
0.21s call     pygmt/tests/test_text.py::test_text_single_line_of_text
0.20s call     pygmt/tests/test_colorbar.py::test_colorbar_scaled_z_values
0.20s call     pygmt/tests/test_session_management.py::test_gmt_compat_6_is_applied
0.20s call     pygmt/tests/test_timestamp.py::test_timestamp_font
0.20s call     pygmt/tests/test_text.py::test_text_font_bold
0.20s call     pygmt/tests/test_colorbar.py::test_colorbar_truncated_to_zlow_zhigh

(1730 durations < 0.2s hidden.  Use -vv to show these durations.)
= 55 failed, 601 passed, 4 skipped, 4 xfailed, 2 xpassed, 3 warnings, 8 errors in 182.55s (0:03:02) =

Windows - https://github.com/GenericMappingTools/pygmt/actions/runs/7438683470/job/20238478862?pr=2962#step:8:729

=================================== ERRORS ====================================
_______________ ERROR at setup of test_grdimage_image_dataarray _______________

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
___ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int8] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint16] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int16] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[uint32] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
__ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[int32] ___

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
_ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float32] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
_ ERROR at setup of test_grdimage_image_dataarray_unsupported_dtype[float64] __

    @pytest.fixture(scope="module", name="xr_image")
    def fixture_xr_image():
        """
        Load the image data from Blue Marble as an xarray.DataArray with shape {"band": 3,
        "y": 180, "x": 360}.
        """
        geotiff = which(fname="@earth_day_01d_p", download="c")
        with rioxarray.open_rasterio(filename=geotiff) as rda:
            if len(rda.band) == 1:
                with rasterio.open(fp=geotiff) as src:
                    df_colormap = pd.DataFrame.from_dict(
                        data=src.colormap(1), orient="index"
                    )
                    array = src.read()
    
                    red = np.vectorize(df_colormap[0].get)(array)
                    green = np.vectorize(df_colormap[1].get)(array)
                    blue = np.vectorize(df_colormap[2].get)(array)
                    # alpha = np.vectorize(df_colormap[3].get)(array)
    
                rda.data = red
                da_red = rda.astype(dtype=np.uint8).copy()
                rda.data = green
                da_green = rda.astype(dtype=np.uint8).copy()
                rda.data = blue
                da_blue = rda.astype(dtype=np.uint8).copy()
    
                xr_image = xr.concat(objs=[da_red, da_green, da_blue], dim="band")
>           assert xr_image.sizes == {"band": 3, "y": 180, "x": 360}
E           UnboundLocalError: cannot access local variable 'xr_image' where it is not associated with a value

..\pygmt\tests\test_grdimage_image.py:42: UnboundLocalError
================================== FAILURES ===================================
______________________________ test_colorbar_box ______________________________
Error: Image dimensions did not match.
  Expected shape: (188, 151)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_box\baseline.png
  Actual shape: (166, 112)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_box\result.png
_________________________ test_colorbar_box_with_fill _________________________
Error: Image dimensions did not match.
  Expected shape: (182, 145)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_box_with_fill\baseline.png
  Actual shape: (160, 106)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_box_with_fill\result.png
____________________ test_colorbar_truncated_to_zlow_zhigh ____________________
Error: Image dimensions did not match.
  Expected shape: (268, 171)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh\baseline.png
  Actual shape: (248, 111)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_truncated_to_zlow_zhigh\result.png
________________________ test_colorbar_scaled_z_values ________________________
Error: Image dimensions did not match.
  Expected shape: (268, 149)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_scaled_z_values\baseline.png
  Actual shape: (248, 103)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_scaled_z_values\result.png
________________________ test_colorbar_shading_boolean ________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_shading_boolean\baseline.png
  Actual shape: (1993, 1861)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_shading_boolean\result.png
_________________________ test_colorbar_shading_list __________________________
Error: Image dimensions did not match.
  Expected shape: (1999, 1861)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_shading_list\baseline.png
  Actual shape: (1993, 1861)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_colorbar.test_colorbar_shading_list\result.png
_____________________________ test_earth_age_01d ______________________________

    def test_earth_age_01d():
        """
        Test some properties of the earth age 01d data.
        """
        data = load_earth_age(resolution="01d")
        assert data.name == "seafloor_age"
        assert data.attrs["units"] == "Myr"
        assert data.attrs["long_name"] == "age of seafloor crust"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), 0.17, atol=0.01)

..\pygmt\tests\test_datasets_earth_age.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C1349620>, array(0.37000275, dtype=float32), array(0.17))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.20000275
E           Max relative difference: 1.17648674
E            x: array(0.370003, dtype=float32)
E            y: array(0.17)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_______________________ test_earth_age_01d_with_region ________________________

    def test_earth_age_01d_with_region():
        """
        Test loading low-resolution earth age with 'region'.
        """
        data = load_earth_age(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 11.29, atol=0.01)

..\pygmt\tests\test_datasets_earth_age.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C1348900>, array(11.130005, dtype=float32), array(11.29))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.15999512
E           Max relative difference: 0.0141714
E            x: array(11.130005, dtype=float32)
E            y: array(11.29)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_____________________________ test_earth_faa_01d ______________________________

    def test_earth_faa_01d():
        """
        Test some properties of the free air anomaly 01d data.
        """
        data = load_earth_free_air_anomaly(resolution="01d")
        assert data.name == "free_air_anomaly"
        assert data.attrs["long_name"] == "IGPP Earth Free-Air Anomaly"
        assert data.attrs["units"] == "mGal"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -275.85, atol=0.025)

..\pygmt\tests\test_datasets_earth_free_air_anomaly.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C12FBCE0>, array(-188.85, dtype=float32), array(-275.85))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 86.9999939
E           Max relative difference: 0.31538878
E            x: array(-188.85, dtype=float32)
E            y: array(-275.85)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_______________________ test_earth_faa_01d_with_region ________________________

    def test_earth_faa_01d_with_region():
        """
        Test loading low-resolution earth free air anomaly with 'region'.
        """
        data = load_earth_free_air_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -58.475, atol=0.025)

..\pygmt\tests\test_datasets_earth_free_air_anomaly.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C12F94E0>, array(-36.125, dtype=float32), array(-58.475))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.025', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.025
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 22.35
E           Max relative difference: 0.38221462
E            x: array(-36.125, dtype=float32)
E            y: array(-58.475)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________________ test_earth_geoid_01d _____________________________

    def test_earth_geoid_01d():
        """
        Test some properties of the earth geoid 01d data.
        """
        data = load_earth_geoid(resolution="01d")
        assert data.name == "earth_geoid"
        assert data.attrs["units"] == "m"
        assert data.attrs["long_name"] == "EGM2008 Earth Geoid"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -106.45, atol=0.01)

..\pygmt\tests\test_datasets_earth_geoid.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C136B6A0>, array(-106.06, dtype=float32), array(-106.45))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.39000244
E           Max relative difference: 0.00366371
E            x: array(-106.06, dtype=float32)
E            y: array(-106.45)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
______________________ test_earth_geoid_01d_with_region _______________________

    def test_earth_geoid_01d_with_region():
        """
        Test loading low-resolution earth geoid with 'region'.
        """
        data = load_earth_geoid(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), 4.87, atol=0.01)

..\pygmt\tests\test_datasets_earth_geoid.py:35: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C1349080>, array(5.5699997, dtype=float32), array(4.87))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.01', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.01
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 0.69999969
E           Max relative difference: 0.1437371
E            x: array(5.57, dtype=float32)
E            y: array(4.87)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_____________________________ test_earth_mag_01d ______________________________

    def test_earth_mag_01d():
        """
        Test some properties of the magnetic anomaly 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -384.0, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:24: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C136AE80>, array(-336.20007, dtype=float32), array(-384.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 47.79992676
E           Max relative difference: 0.12447898
E            x: array(-336.20007, dtype=float32)
E            y: array(-384.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_______________________ test_earth_mag_01d_with_region ________________________

    def test_earth_mag_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly with 'region'.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", region=[-10, 10, -5, 5])
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -180.4, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:37: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C136BB00>, array(-54.400024, dtype=float32), array(-180.4))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 125.99997559
E           Max relative difference: 0.69844776
E            x: array(-54.400024, dtype=float32)
E            y: array(-180.4)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________________ test_earth_mag4km_01d ____________________________

    def test_earth_mag4km_01d():
        """
        Test some properties of the magnetic anomaly 4km 01d data.
        """
        data = load_earth_magnetic_anomaly(resolution="01d", data_source="emag2_4km")
        assert data.name == "magnetic_anomaly"
        assert data.attrs["long_name"] == "Earth magnetic anomaly"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -799.2, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B42C0>, array(-436.80005, dtype=float32), array(-799.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 362.39995117
E           Max relative difference: 0.45345339
E            x: array(-436.80005, dtype=float32)
E            y: array(-799.2)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
______________________ test_earth_mag4km_01d_with_region ______________________

    def test_earth_mag4km_01d_with_region():
        """
        Test loading low-resolution earth magnetic anomaly 4km 01d with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="emag2_4km",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -153.2, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:87: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B4040>, array(-49.600098, dtype=float32), array(-153.2))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 103.59990234
E           Max relative difference: 0.67623957
E            x: array(-49.600098, dtype=float32)
E            y: array(-153.2)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
__________________________ test_earth_mag_01d_wdmam ___________________________

    def test_earth_mag_01d_wdmam():
        """
        Test some properties of the WDMAM 01d data.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d", registration="gridline", data_source="wdmam"
        )
        assert data.name == "wdmam"
        assert data.attrs["long_name"] == "World Digital Magnetic Anomaly Map"
        assert data.attrs["units"] == "nT"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -794.0, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B4EA0>, array(-446.6001, dtype=float32), array(-794.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 347.39990234
E           Max relative difference: 0.43753136
E            x: array(-446.6001, dtype=float32)
E            y: array(-794.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________ test_earth_mag_01d_wdmam_with_region _____________________

    def test_earth_mag_01d_wdmam_with_region():
        """
        Test loading low-resolution WDMAM grid with 'region'.
        """
        data = load_earth_magnetic_anomaly(
            resolution="01d",
            region=[-10, 10, -5, 5],
            registration="gridline",
            data_source="wdmam",
        )
        assert data.shape == (11, 21)
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -145.6, atol=0.2)

..\pygmt\tests\test_datasets_earth_magnetic_anomaly.py:142: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C136AE80>, array(-56., dtype=float32), array(-145.6))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.2', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.2
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 89.6
E           Max relative difference: 0.61538462
E            x: array(-56., dtype=float32)
E            y: array(-145.6)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
__________________ test_earth_relief_01d_igpp_synbath[igpp] ___________________

data_source = 'igpp'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B4900>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_________________ test_earth_relief_01d_igpp_synbath[synbath] _________________

data_source = 'synbath'

    @pytest.mark.parametrize("data_source", ["igpp", "synbath"])
    def test_earth_relief_01d_igpp_synbath(data_source):
        """
        Test some properties of the earth relief 01d data with IGPP and SYNBATH data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.name == "elevation"
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.gmt.registration == 0
        assert data.shape == (181, 361)
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8600.5, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:27: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B49A0>, array(-7174., dtype=float32), array(-8600.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1426.5
E           Max relative difference: 0.16586245
E            x: array(-7174., dtype=float32)
E            y: array(-8600.5)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_____________________ test_earth_relief_01d_gebco[gebco] ______________________

data_source = 'gebco'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

..\pygmt\tests\test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B4A40>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________ test_earth_relief_01d_gebco[gebcosi] _____________________

data_source = 'gebcosi'

    @pytest.mark.parametrize("data_source", ["gebco", "gebcosi"])
    def test_earth_relief_01d_gebco(data_source):
        """
        Test some properties of the earth relief 01d data with GEBCO and GEBOCSI data.
        """
        data = load_earth_relief(resolution="01d", data_source=data_source)
        assert data.attrs["units"] == "meters"
        assert data.attrs["long_name"] == "Earth elevation relative to the geoid"
        assert data.attrs["vertical_datum"] == "EGM96"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -8597.0, atol=1.0)

..\pygmt\tests\test_datasets_earth_relief.py:45: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B5580>, array(-7169., dtype=float32), array(-8597.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1428.
E           Max relative difference: 0.16610446
E            x: array(-7169., dtype=float32)
E            y: array(-8597.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_with_region_srtm ____________________

    def test_earth_relief_01d_with_region_srtm():
        """
        Test loading low-resolution earth relief with 'region' with IGPP data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="igpp",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:62: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B47C0>, array(-5136., dtype=float32), array(-5151))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
___________________ test_earth_relief_01d_with_region_gebco ___________________

    def test_earth_relief_01d_with_region_gebco():
        """
        Test loading low-resolution earth relief with 'region' with GEBCO data.
        """
        data = load_earth_relief(
            resolution="01d",
            region=[-10, 10, -5, 5],
            data_source="gebco",
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -5151.0, atol=1.0)

..\pygmt\tests\test_datasets_earth_relief.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B40E0>, array(-5136., dtype=float32), array(-5151.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 15.
E           Max relative difference: 0.00291206
E            x: array(-5136., dtype=float32)
E            y: array(-5151.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________________ test_earth_relief_30m ____________________________

    def test_earth_relief_30m():
        """
        Test some properties of the earth relief 30m data.
        """
        data = load_earth_relief(resolution="30m")
        assert data.shape == (361, 721)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 90.5, 0.5))
        npt.assert_allclose(data.lon, np.arange(-180, 180.5, 0.5))
>       npt.assert_allclose(data.min(), -9454.5, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:92: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B58A0>, array(-8279.5, dtype=float32), array(-9454.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 1175.
E           Max relative difference: 0.12427944
E            x: array(-8279.5, dtype=float32)
E            y: array(-9454.5)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_____________________ test_earth_gebcosi_15m_with_region ______________________

    def test_earth_gebcosi_15m_with_region():
        """
        Test loading a subregion of 15 arc-minutes resolution earth_gebcosi grid.
        """
        data = load_earth_relief(
            resolution="15m",
            region=[85, 87, -88, -84],
            registration="pixel",
            data_source="gebcosi",
        )
        assert data.shape == (16, 8)
        assert data.gmt.registration == 1
        npt.assert_allclose(data.lat, np.arange(-87.875, -84, 0.25))
        npt.assert_allclose(data.lon, np.arange(85.125, 87, 0.25))
>       npt.assert_allclose(data.min(), -531, atol=1.0)

..\pygmt\tests\test_datasets_earth_relief.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B4400>, array(-492., dtype=float32), array(-531))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=1', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=1
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 39.
E           Max relative difference: 0.07344633
E            x: array(-492., dtype=float32)
E            y: array(-531)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
________________________ test_earth_relief_30s_synbath ________________________

    def test_earth_relief_30s_synbath():
        """
        Test some properties of the earth relief 30s data with SYNBATH data.
        """
        data = load_earth_relief(
            region=[-95, -94, -1.5, -1],
            resolution="30s",
            registration="pixel",
            data_source="synbath",
        )
        assert data.shape == (60, 120)
>       npt.assert_allclose(data.min(), -3552.5, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B5EE0>, array(-3546.5, dtype=float32), array(-3552.5))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 6.
E           Max relative difference: 0.00168895
E            x: array(-3546.5, dtype=float32)
E            y: array(-3552.5)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
_________________ test_earth_relief_03s_default_registration __________________

    def test_earth_relief_03s_default_registration():
        """
        Test that the grid returned by default for the 3 arc-second resolution has a
        "gridline" registration.
        """
        data = load_earth_relief(resolution="03s", region=[-10, -9.8, 4.9, 5])
        assert data.shape == (121, 241)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.coords["lat"].data.min(), 4.9)
        npt.assert_allclose(data.coords["lat"].data.max(), 5)
        npt.assert_allclose(data.coords["lon"].data.min(), -10)
        npt.assert_allclose(data.coords["lon"].data.max(), -9.8)
>       npt.assert_allclose(data.min(), -2070.0, atol=0.5)

..\pygmt\tests\test_datasets_earth_relief.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B6B60>, array(-2131.926, dtype=float32), array(-2070.))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.5', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.5
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 61.92602539
E           Max relative difference: 0.02991595
E            x: array(-2131.926, dtype=float32)
E            y: array(-2070.)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
__________________ test_earth_vertical_gravity_gradient_01d ___________________

    def test_earth_vertical_gravity_gradient_01d():
        """
        Test some properties of the earth vgg 01d data.
        """
        data = load_earth_vertical_gravity_gradient(resolution="01d")
        assert data.name == "earth_vgg"
        assert data.attrs["units"] == "Eotvos"
        assert data.attrs["long_name"] == "IGPP Earth Vertical Gravity Gradient"
        assert data.attrs["horizontal_datum"] == "WGS84"
        assert data.shape == (181, 361)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-90, 91, 1))
        npt.assert_allclose(data.lon, np.arange(-180, 181, 1))
>       npt.assert_allclose(data.min(), -137.125, atol=1 / 32)

..\pygmt\tests\test_datasets_earth_vertical_gravity_gradient.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B6FC0>, array(-40.1875, dtype=float32), array(-137.125))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 96.9375
E           Max relative difference: 0.70692799
E            x: array(-40.1875, dtype=float32)
E            y: array(-137.125)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________ test_earth_vertical_gravity_gradient_01d_with_region _____________

    def test_earth_vertical_gravity_gradient_01d_with_region():
        """
        Test loading low-resolution earth vgg with 'region'.
        """
        data = load_earth_vertical_gravity_gradient(
            resolution="01d", region=[-10, 10, -5, 5]
        )
        assert data.shape == (11, 21)
        assert data.gmt.registration == 0
        npt.assert_allclose(data.lat, np.arange(-5, 6, 1))
        npt.assert_allclose(data.lon, np.arange(-10, 11, 1))
>       npt.assert_allclose(data.min(), -15.6875, atol=1 / 32)

..\pygmt\tests\test_datasets_earth_vertical_gravity_gradient.py:38: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

args = (<function assert_allclose.<locals>.compare at 0x00000215C14B72E0>, array(-5.34375, dtype=float32), array(-15.6875))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, atol=0.03125', 'verbose': True}

    @wraps(func)
    def inner(*args, **kwds):
        with self._recreate_cm():
>           return func(*args, **kwds)
E           AssertionError: 
E           Not equal to tolerance rtol=1e-07, atol=0.03125
E           
E           Mismatched elements: 1 / 1 (100%)
E           Max absolute difference: 10.34375
E           Max relative difference: 0.65936255
E            x: array(-5.34375, dtype=float32)
E            y: array(-15.6875)

C:\Users\runneradmin\micromamba\envs\pygmt\Lib\contextlib.py:81: AssertionError
____________________ test_geopandas_plot_int_dtypes[int32] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32\baseline.png
  Actual shape: (1786, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int32\result.png
____________________ test_geopandas_plot_int_dtypes[int64] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64\baseline.png
  Actual shape: (1786, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_int64\result.png
___________________ test_geopandas_plot_int_dtypes[dtype2] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2\baseline.png
  Actual shape: (1786, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype2\result.png
___________________ test_geopandas_plot_int_dtypes[dtype3] ____________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3\baseline.png
  Actual shape: (1786, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int_dtypes_dtype3\result.png
_____________________ test_geopandas_plot_int64_as_float ______________________
Error: Image dimensions did not match.
  Expected shape: (1791, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float\baseline.png
  Actual shape: (1786, 1911)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_geopandas.test_geopandas_plot_int64_as_float\result.png
________________________________ test_grd2cpt _________________________________
Error: Image dimensions did not match.
  Expected shape: (1102, 1836)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grd2cpt.test_grd2cpt\baseline.png
  Actual shape: (1096, 1836)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grd2cpt.test_grd2cpt\result.png
________________________________ test_grdimage ________________________________
Error: Image files did not match.
  RMS Value: 20.959094341042217
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage\result-failed-diff.png
  Tolerance: 
    2
_____________________________ test_grdimage_slice _____________________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_slice\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_slice\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_slice\result-failed-diff.png
  Tolerance: 
    2
_____________________________ test_grdimage_file ______________________________
Error: Image files did not match.
  RMS Value: 19.334042656785233
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_file\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_file\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_file\result-failed-diff.png
  Tolerance: 
    2
___________________ test_grdimage_default_no_shading[None] ____________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_None\result-failed-diff.png
  Tolerance: 
    2
___________________ test_grdimage_default_no_shading[False] ___________________
Error: Image files did not match.
  RMS Value: 26.38796295294615
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_default_no_shading_False\result-failed-diff.png
  Tolerance: 
    2
_________________________ test_grdimage_global_subset _________________________
Error: Image files did not match.
  RMS Value: 22.436108492146694
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_global_subset\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_global_subset\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage.test_grdimage_global_subset\result-failed-diff.png
  Tolerance: 
    2
_____________________________ test_grdimage_image _____________________________
Error: Image files did not match.
  RMS Value: 8.476142380587897
  Expected:  
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage_image.test_grdimage_image\baseline.png
  Actual:    
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage_image.test_grdimage_image\result.png
  Difference:
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_grdimage_image.test_grdimage_image\result-failed-diff.png
  Tolerance: 
    2
_________________________ test_makecpt_plot_colorbar __________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1190)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_plot_colorbar\baseline.png
  Actual shape: (100, 1189)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_plot_colorbar\result.png
________________ test_makecpt_plot_colorbar_scaled_with_series ________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_plot_colorbar_scaled_with_series\baseline.png
  Actual shape: (100, 1226)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_plot_colorbar_scaled_with_series\result.png
______________________ test_makecpt_truncated_zlow_zhigh ______________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_truncated_zlow_zhigh\baseline.png
  Actual shape: (100, 1226)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_truncated_zlow_zhigh\result.png
_______________________ test_makecpt_reverse_color_only _______________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_reverse_color_only\baseline.png
  Actual shape: (100, 1226)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_reverse_color_only\result.png
____________________ test_makecpt_reverse_color_and_zsign _____________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_reverse_color_and_zsign\baseline.png
  Actual shape: (100, 1226)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_reverse_color_and_zsign\result.png
___________________________ test_makecpt_continuous ___________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1236)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_continuous\baseline.png
  Actual shape: (100, 1226)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_continuous\result.png
__________________________ test_makecpt_categorical ___________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1202)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_categorical\baseline.png
  Actual shape: (86, 1151)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_categorical\result.png
_____________________________ test_makecpt_cyclic _____________________________
Error: Image dimensions did not match.
  Expected shape: (112, 1283)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_cyclic\baseline.png
  Actual shape: (100, 1274)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_makecpt.test_makecpt_cyclic\result.png
__________________ test_subplot_outside_plotting_positioning __________________
Error: Image dimensions did not match.
  Expected shape: (777, 1261)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_subplot.test_subplot_outside_plotting_positioning\baseline.png
  Actual shape: (755, 1261)
    D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\results\pygmt.tests.test_subplot.test_subplot_outside_plotting_positioning\result.png
________________ test_x2sys_cross_input_file_output_dataframe _________________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_input_file_output_dataframe():
        """
        Run x2sys_cross by passing in a filename, and output internal crossovers to a
        pandas.DataFrame.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, coe="i")
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (14294, 12)
E           assert (14338, 12) == (14294, 12)
E             At index 0 diff: 14338 != 14294
E             Full diff:
E             - (14294, 12)
E             + (14338, 12)

..\pygmt\tests\test_x2sys_cross.py:68: AssertionError
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
_______________ test_x2sys_cross_region_interpolation_numpoints _______________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_region_interpolation_numpoints():
        """
        Test that x2sys_cross's region (R), interpolation (l) and numpoints (W) arguments
        work.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(
                tracks=["@tut_ship.xyz"],
                tag=tag,
                coe="i",
                region=[245, 250, 20, 25],
                interpolation="a",  # Akima spline interpolation
                numpoints=5,  # Use up to 5 data points in interpolation
            )
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (3867, 12)
E           assert (3882, 12) == (3867, 12)
E             At index 0 diff: 3882 != 3867
E             Full diff:
E             - (3867, 12)
E             ?    ^^
E             + (3882, 12)
E             ?    ^^

..\pygmt\tests\test_x2sys_cross.py:215: AssertionError
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
________________________ test_x2sys_cross_trackvalues _________________________

    @pytest.mark.usefixtures("mock_x2sys_home")
    def test_x2sys_cross_trackvalues():
        """
        Test that x2sys_cross's trackvalues (Z) argument work.
        """
        with TemporaryDirectory(prefix="X2SYS", dir=os.getcwd()) as tmpdir:
            tag = os.path.basename(tmpdir)
            x2sys_init(tag=tag, fmtfile="xyz", force=True)
            output = x2sys_cross(tracks=["@tut_ship.xyz"], tag=tag, trackvalues=True)
    
            assert isinstance(output, pd.DataFrame)
>           assert output.shape == (14294, 12)
E           assert (14338, 12) == (14294, 12)
E             At index 0 diff: 14338 != 14294
E             Full diff:
E             - (14294, 12)
E             + (14338, 12)

..\pygmt\tests\test_x2sys_cross.py:232: AssertionError
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
============================== warnings summary ===============================
C:\Users\runneradmin\micromamba\envs\pygmt\Lib\site-packages\dateutil\tz\tz.py:37
  C:\Users\runneradmin\micromamba\envs\pygmt\Lib\site-packages\dateutil\tz\tz.py:37: DeprecationWarning: datetime.datetime.utcfromtimestamp() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.fromtimestamp(timestamp, datetime.UTC).
    EPOCH = datetime.datetime.utcfromtimestamp(0)

pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias
  <doctest pygmt.helpers.decorators.use_alias[1]>:1: SyntaxWarning: Short-form parameter (R) is not recommended. Use long-form parameter 'region' instead.

pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias
  <doctest pygmt.helpers.decorators.use_alias[1]>:1: SyntaxWarning: Short-form parameter (J) is not recommended. Use long-form parameter 'projection' instead.

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=================================== PASSES ====================================
________________________ test_accessor_sliced_datacube ________________________
---------------------------- Captured stderr call -----------------------------
Warning: WARNING]: No 3-D array in file D:\a\pygmt\pygmt\tmp-test-dir-with-unique-name\eraint_uvz.nc.  Selecting first 3-D slice in the 4-D array z
_____________________ test_call_module_invalid_arguments ______________________
---------------------------- Captured stderr call -----------------------------
Error:  [ERROR]: Cannot find file bogus-data.bla
_______________________ test_call_module_error_message ________________________
---------------------------- Captured stderr call -----------------------------
Error:  [ERROR]: Cannot find file bogus-data.bla
__________________________ test_extract_region_fails __________________________
---------------------------- Captured stderr call -----------------------------
Error: ession [ERROR]: No hidden PS file found
___________________________ test_get_default_fails ____________________________
---------------------------- Captured stderr call -----------------------------
Error: ession [ERROR]: Unrecognized keyword NOT_A_VALID_NAME
_________________________ test_figure_savefig_geotiff _________________________
---------------------------- Captured stdout call -----------------------------
Input file size is 1331, 1257

0...10...20...30...40...50...60...70...80...90...100 - done.

___________________________ test_grdsample_file_out ___________________________
---------------------------- Captured stderr call -----------------------------
Warning:  [WARNING]: Output sampling interval in x exceeds input interval and may lead to aliasing.
________________________ test_grdsample_dataarray_out _________________________
---------------------------- Captured stderr call -----------------------------
Warning:  [WARNING]: Output sampling interval in x exceeds input interval and may lead to aliasing.
_______________________ test_text_nonexistent_filename ________________________
---------------------------- Captured stderr call -----------------------------
Error: RROR]: Cannot find file notexist.txt
__________________________ test_tilemap_web_mercator __________________________
---------------------------- Captured stderr call -----------------------------
Warning: [WARNING]: (w - x_min) must equal (NX + eps) * x_inc), where NX is an integer and |eps| <= 0.0001.
Warning: [WARNING]: w reset from -20000000 to -20116086.8069
Warning: [WARNING]: (e - x_min) must equal (NX + eps) * x_inc), where NX is an integer and |eps| <= 0.0001.
Warning: [WARNING]: e reset from 20000000 to 20116086.8069
Warning: [WARNING]: (s - y_min) must equal (NY + eps) * y_inc), where NY is an integer and |eps| <= 0.0001.
Warning: [WARNING]: s reset from -20000000 to -20116086.8069
Warning: [WARNING]: (n - y_min) must equal (NY + eps) * y_inc), where NY is an integer and |eps| <= 0.0001.
Warning: [WARNING]: n reset from 20000000 to 20116086.8069
______________________________ test_which_fails _______________________________
---------------------------- Captured stderr call -----------------------------
Error: h [ERROR]: File b4eb521b488e4149a7ad20cb49a8d1f1 not found!
Error: h [ERROR]: File b4eb521b488e4149a7ad20cb49a8d1f1.nc not found!
Error: h [ERROR]: File b4eb521b488e4149a7ad20cb49a8d1f1.txt not found!
___________________ test_x2sys_cross_input_file_output_file ___________________
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
______________ test_x2sys_cross_input_dataframe_output_dataframe ______________
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
__________________ test_x2sys_cross_input_dataframe_with_nan __________________
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times
____________________ test_x2sys_cross_input_two_filenames _____________________
---------------------------- Captured stderr call -----------------------------
Warning: ss [WARNING]: No time column, use dummy times

---------- coverage: platform win32, python 3.12.1-final-0 -----------
Name                                                                 Stmts   Miss  Cover   Missing
--------------------------------------------------------------------------------------------------
D:\a\pygmt\pygmt\pygmt\__init__.py                                      60      5    92%   125-126, 136, 140, 147
D:\a\pygmt\pygmt\pygmt\accessors.py                                     34      3    91%   126-128
D:\a\pygmt\pygmt\pygmt\clib\__init__.py                                  3      0   100%
D:\a\pygmt\pygmt\pygmt\clib\conversion.py                               43      0   100%
D:\a\pygmt\pygmt\pygmt\clib\loading.py                                  66      1    98%   131
D:\a\pygmt\pygmt\pygmt\clib\session.py                                 308      2    99%   1555-1562
D:\a\pygmt\pygmt\pygmt\datasets\__init__.py                              9      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_age.py                             8      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_free_air_anomaly.py                8      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_geoid.py                           8      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_magnetic_anomaly.py               14      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_mask.py                            9      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_relief.py                         18      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\earth_vertical_gravity_gradient.py       8      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\load_remote_dataset.py                  47      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\samples.py                              50      0   100%
D:\a\pygmt\pygmt\pygmt\datasets\tile_map.py                             20      3    85%   10-11, 113
D:\a\pygmt\pygmt\pygmt\exceptions.py                                     8      0   100%
D:\a\pygmt\pygmt\pygmt\figure.py                                       127      9    93%   13-14, 41, 380, 387, 456-465
D:\a\pygmt\pygmt\pygmt\helpers\__init__.py                               4      0   100%
D:\a\pygmt\pygmt\pygmt\helpers\caching.py                                4      2    50%   12-87
D:\a\pygmt\pygmt\pygmt\helpers\decorators.py                           109      0   100%
D:\a\pygmt\pygmt\pygmt\helpers\tempfile.py                              59      2    97%   190-191
D:\a\pygmt\pygmt\pygmt\helpers\testing.py                               62      2    97%   86, 88
D:\a\pygmt\pygmt\pygmt\helpers\utils.py                                 93      4    96%   104, 500, 502, 506
D:\a\pygmt\pygmt\pygmt\helpers\validators.py                            12      0   100%
D:\a\pygmt\pygmt\pygmt\io.py                                             8      0   100%
D:\a\pygmt\pygmt\pygmt\session_management.py                            14      0   100%
D:\a\pygmt\pygmt\pygmt\sphinx_gallery.py                                16     11    31%   7-8, 26-34
D:\a\pygmt\pygmt\pygmt\src\__init__.py                                  58      0   100%
D:\a\pygmt\pygmt\pygmt\src\basemap.py                                    9      0   100%
D:\a\pygmt\pygmt\pygmt\src\binstats.py                                  15      0   100%
D:\a\pygmt\pygmt\pygmt\src\blockm.py                                    36      0   100%
D:\a\pygmt\pygmt\pygmt\src\coast.py                                     13      0   100%
D:\a\pygmt\pygmt\pygmt\src\colorbar.py                                  10      0   100%
D:\a\pygmt\pygmt\pygmt\src\config.py                                    24      0   100%
D:\a\pygmt\pygmt\pygmt\src\contour.py                                   11      0   100%
D:\a\pygmt\pygmt\pygmt\src\dimfilter.py                                 19      0   100%
D:\a\pygmt\pygmt\pygmt\src\filter1d.py                                  24      0   100%
D:\a\pygmt\pygmt\pygmt\src\grd2cpt.py                                   20      0   100%
D:\a\pygmt\pygmt\pygmt\src\grd2xyz.py                                   30      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdclip.py                                   16      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdcontour.py                                12      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdcut.py                                    16      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdfill.py                                   19      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdfilter.py                                 15      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdgradient.py                               21      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdhisteq.py                                 46      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdimage.py                                  16      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdinfo.py                                   13      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdlandmask.py                               17      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdproject.py                                19      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdsample.py                                 16      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdtrack.py                                  31      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdview.py                                   12      0   100%
D:\a\pygmt\pygmt\pygmt\src\grdvolume.py                                 23      0   100%
D:\a\pygmt\pygmt\pygmt\src\histogram.py                                 11      0   100%
D:\a\pygmt\pygmt\pygmt\src\image.py                                      9      0   100%
D:\a\pygmt\pygmt\pygmt\src\info.py                                      21      0   100%
D:\a\pygmt\pygmt\pygmt\src\inset.py                                     16      0   100%
D:\a\pygmt\pygmt\pygmt\src\legend.py                                    19      0   100%
D:\a\pygmt\pygmt\pygmt\src\logo.py                                       9      0   100%
D:\a\pygmt\pygmt\pygmt\src\makecpt.py                                   17      0   100%
D:\a\pygmt\pygmt\pygmt\src\meca.py                                      79      6    92%   409-413, 437, 441
D:\a\pygmt\pygmt\pygmt\src\nearneighbor.py                              16      0   100%
D:\a\pygmt\pygmt\pygmt\src\plot3d.py                                    43      2    95%   204-205
D:\a\pygmt\pygmt\pygmt\src\plot.py                                      43      2    95%   236-237
D:\a\pygmt\pygmt\pygmt\src\project.py                                   32      0   100%
D:\a\pygmt\pygmt\pygmt\src\rose.py                                      12      0   100%
D:\a\pygmt\pygmt\pygmt\src\select.py                                    24      0   100%
D:\a\pygmt\pygmt\pygmt\src\shift_origin.py                              10      0   100%
D:\a\pygmt\pygmt\pygmt\src\solar.py                                     27      0   100%
D:\a\pygmt\pygmt\pygmt\src\sph2grd.py                                   16      0   100%
D:\a\pygmt\pygmt\pygmt\src\sphdistance.py                               19      0   100%
D:\a\pygmt\pygmt\pygmt\src\sphinterpolate.py                            16      0   100%
D:\a\pygmt\pygmt\pygmt\src\subplot.py                                   32      0   100%
D:\a\pygmt\pygmt\pygmt\src\surface.py                                   16      0   100%
D:\a\pygmt\pygmt\pygmt\src\ternary.py                                   20      1    95%   86
D:\a\pygmt\pygmt\pygmt\src\text.py                                      45      0   100%
D:\a\pygmt\pygmt\pygmt\src\tilemap.py                                   25      3    88%   12-13, 120
D:\a\pygmt\pygmt\pygmt\src\timestamp.py                                 28      3    89%   14, 94, 108
D:\a\pygmt\pygmt\pygmt\src\triangulate.py                               44      0   100%
D:\a\pygmt\pygmt\pygmt\src\velo.py                                      20      0   100%
D:\a\pygmt\pygmt\pygmt\src\which.py                                     14      0   100%
D:\a\pygmt\pygmt\pygmt\src\wiggle.py                                    24      0   100%
D:\a\pygmt\pygmt\pygmt\src\x2sys_cross.py                               45      0   100%
D:\a\pygmt\pygmt\pygmt\src\x2sys_init.py                                 8      0   100%
D:\a\pygmt\pygmt\pygmt\src\xyz2grd.py                                   19      0   100%
--------------------------------------------------------------------------------------------------
TOTAL                                                                 2569     61    98%
Coverage HTML written to dir htmlcov
Coverage XML written to file coverage.xml

============================== slowest durations ==============================
6.32s call     pygmt/tests/test_session_management.py::test_session_multiprocessing
5.72s call     pygmt/tests/test_figure.py::test_figure_savefig_exists
2.37s call     pygmt/tests/test_figure.py::test_figure_savefig_worldfile
2.06s call     pygmt/tests/test_grdview.py::test_grdview_drapegrid_dataarray
2.04s call     pygmt/helpers/testing.py::pygmt.helpers.testing.check_figures_equal
1.84s call     pygmt/tests/test_grdview.py::test_grdview_with_cmap_for_image_plot
1.74s call     pygmt/datasets/tile_map.py::pygmt.datasets.tile_map.load_tile_map
1.73s call     pygmt/tests/test_grdimage.py::test_grdimage_shading_xarray[@earth_relief_01d_g+d-png]
1.68s call     pygmt/tests/test_grdimage.py::test_grdimage_shading_xarray[@earth_relief_01d_g+a60+nt0.8-png]
1.65s call     pygmt/tests/test_grdimage.py::test_grdimage_grid_and_shading_with_xarray[png]
1.49s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-0-0-png]
1.49s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[H-0-png]
1.48s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-123-0-png]
1.48s call     pygmt/tests/test_grdimage.py::test_grdimage_shading_xarray[+a30+nt0.8-png]
1.48s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[H-123-png]
1.47s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-123-30-png]
1.47s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-180-0-png]
1.47s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-180-30-png]
1.46s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[S-0-30-png]
1.42s call     pygmt/tests/test_grdimage.py::test_grdimage_shading_xarray[True-png]
1.37s call     pygmt/tests/test_grdimage.py::test_grdimage_file
1.36s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[H-180-png]
1.35s call     pygmt/tests/test_grdimage.py::test_grdimage_shading_xarray[0.5-png]
1.34s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-180-0-png]
1.34s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-123-0-png]
1.30s call     pygmt/tests/test_grdcontour.py::test_grdcontour_labels
1.29s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[W-123-png]
1.29s call     pygmt/tests/test_accessor.py::test_accessor_sliced_datacube
1.28s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[W-0-png]
1.27s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-180-30-png]
1.27s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-0-30-png]
1.27s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-123-30-png]
1.26s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians[W-180-png]
1.23s call     pygmt/tests/test_grdimage.py::test_grdimage_central_meridians_and_standard_parallels[Q-0-0-png]
1.22s call     pygmt/tests/test_grdcontour.py::test_grdcontour
1.19s call     pygmt/tests/test_tilemap.py::test_tilemap_web_mercator
1.18s call     pygmt/tests/test_figure.py::test_figure_savefig_geotiff
1.15s call     pygmt/tests/test_logo.py::test_logo_on_a_map
1.13s call     pygmt/tests/test_plot3d.py::test_plot3d_from_file
1.12s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_int_dtypes[dtype3]
1.11s call     pygmt/tests/test_basemap.py::test_basemap_compass
1.10s call     pygmt/tests/test_figure.py::test_figure_display_external
1.10s call     pygmt/tests/test_legend.py::test_legend_specfile
1.08s call     pygmt/tests/test_basemap.py::test_basemap_rose
1.08s call     pygmt/tests/test_figure.py::test_figure_repr
1.05s call     pygmt/tests/test_plot.py::test_plot_lines_with_arrows
1.04s call     pygmt/tests/test_velo.py::test_velo_numpy_array_numeric_only
1.04s call     pygmt/accessors.py::pygmt.accessors.GMTDataArrayAccessor
1.03s call     pygmt/tests/test_rose.py::test_rose_no_sectors
1.02s call     pygmt/tests/test_psconvert.py::test_psconvert_twice
1.01s call     pygmt/tests/test_coast.py::test_coast_dcw_list
1.00s call     pygmt/tests/test_coast.py::test_coast_dcw_single
0.98s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_int_dtypes[int64]
0.97s call     pygmt/tests/test_plot3d.py::test_plot3d_transparency
0.97s call     pygmt/tests/test_velo.py::test_velo_pandas_dataframe
0.97s call     pygmt/tests/test_plot3d.py::test_plot3d_varying_transparency
0.96s call     pygmt/tests/test_plot3d.py::test_plot3d_sizes_colors_transparencies
0.96s call     pygmt/tests/test_session_management.py::test_begin_end
0.96s call     pygmt/tests/test_grdimage.py::test_grdimage
0.95s call     pygmt/tests/test_inset.py::test_inset_aliases
0.95s call     pygmt/tests/test_plot.py::test_plot_shapefile
0.95s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective_and_zaxis_frame
0.95s call     pygmt/tests/test_plot3d.py::test_plot3d_vectors
0.94s call     pygmt/tests/test_plot3d.py::test_plot3d_scalar_xyz
0.94s call     pygmt/tests/test_grdcontour.py::test_grdcontour_interval_file_full_opts
0.94s call     pygmt/tests/test_legend.py::test_legend_position
0.92s call     pygmt/tests/test_basemap.py::test_basemap_map_scale
0.91s call     pygmt/tests/test_coast.py::test_coast_region
0.90s call     pygmt/tests/test_basemap.py::test_basemap_winkel_tripel
0.89s call     pygmt/tests/test_rose.py::test_rose_bools
0.88s call     pygmt/tests/test_coast.py::test_coast_world_mercator
0.88s call     pygmt/tests/test_plot.py::test_plot_scalar_xy
0.87s call     pygmt/tests/test_colorbar.py::test_colorbar_shading_list
0.87s call     pygmt/tests/test_plot.py::test_plot_transparency
0.87s call     pygmt/tests/test_text.py::test_text_varying_transparency
0.87s call     pygmt/tests/test_legend.py::test_legend_entries
0.86s call     pygmt/tests/test_contour.py::test_contour_matrix[Dataset]
0.86s call     pygmt/tests/test_colorbar.py::test_colorbar_shading_boolean
0.86s call     pygmt/tests/test_plot.py::test_plot_sizes_colors_transparencies
0.86s call     pygmt/tests/test_legend.py::test_legend_default_position
0.86s call     pygmt/tests/test_plot3d.py::test_plot3d_colors_sizes_proj
0.85s call     pygmt/tests/test_text.py::test_text_transparency
0.85s call     pygmt/tests/test_contour.py::test_contour_incols_transposed_data
0.85s call     pygmt/tests/test_basemap.py::test_basemap_loglog
0.84s call     pygmt/tests/test_contour.py::test_contour_from_file
0.84s call     pygmt/tests/test_grdimage_image.py::test_grdimage_image
0.84s call     pygmt/tests/test_plot.py::test_plot_varying_transparency
0.84s call     pygmt/tests/test_plot.py::test_plot_vectors
0.84s call     pygmt/tests/test_contour.py::test_contour_vec
0.84s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_int_dtypes[int32]
0.84s call     pygmt/tests/test_contour.py::test_contour_matrix[array]
0.83s call     pygmt/tests/test_config.py::test_config_font_one
0.83s call     pygmt/tests/test_contour.py::test_contour_matrix[DataFrame]
0.82s call     pygmt/tests/test_config.py::test_config_font_annot
0.81s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_int64_as_float
0.81s call     pygmt/tests/test_text.py::test_text_input_remote_filename
0.81s call     pygmt/tests/test_rose.py::test_rose_plot_with_transparency
0.79s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_int_dtypes[dtype2]
0.79s call     pygmt/tests/test_plot3d.py::test_plot3d_red_circles_zsize
0.78s call     pygmt/tests/test_inset.py::test_inset_context_manager
0.78s call     pygmt/tests/test_plot3d.py::test_plot3d_matrix[170]
0.78s call     pygmt/tests/test_plot3d.py::test_plot3d_matrix[#aaaaaa]
0.76s call     pygmt/tests/test_logo.py::test_logo
0.75s call     pygmt/tests/test_plot3d.py::test_plot3d_red_circles_zscale
0.74s call     pygmt/tests/test_text.py::test_text_input_multiple_filenames
0.73s call     pygmt/tests/test_plot3d.py::test_plot3d_sizes
0.73s call     pygmt/tests/test_grdimage.py::test_grdimage_default_no_shading[False]
0.73s call     pygmt/tests/test_grdcontour.py::test_grdcontour_slice
0.73s call     pygmt/tests/test_config.py::test_config
0.72s call     pygmt/tests/test_text.py::test_text_no_transparency[False]
0.72s call     pygmt/tests/test_solar.py::test_solar_terminators
0.71s call     pygmt/tests/test_text.py::test_text_no_transparency[None]
0.71s call     pygmt/tests/test_plot3d.py::test_plot3d_matrix_color
0.71s call     pygmt/tests/test_makecpt.py::test_makecpt_plot_points
0.71s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective_and_zsize
0.71s call     pygmt/tests/test_grdview.py::test_grdview_with_cmap_for_surface_monochrome_plot
0.71s call     pygmt/tests/test_text.py::test_text_input_single_filename
0.71s call     pygmt/tests/test_text.py::test_text_no_transparency[0]
0.70s call     pygmt/tests/test_plot3d.py::test_plot3d_varying_intensity
0.70s call     pygmt/tests/test_ternary.py::test_ternary_3_labels
0.70s call     pygmt/figure.py::pygmt.figure.Figure
0.69s call     pygmt/tests/test_subplot.py::test_subplot_autolabel_margins_title
0.69s call     pygmt/tests/test_text.py::test_text_nonascii
0.69s call     pygmt/tests/test_grdview.py::test_grdview_surface_mesh_plot_styled_with_meshpen
0.69s call     pygmt/tests/test_plot.py::test_plot_colors_sizes
0.69s call     pygmt/tests/test_figure.py::test_figure_shift_origin
0.68s call     pygmt/tests/test_grdview.py::test_grdview_surface_plot_styled_with_contourpen
0.68s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane_styled_with_facadepen
0.68s call     pygmt/tests/test_tilemap.py::test_tilemap_ogc_wgs84
0.68s call     pygmt/tests/test_plot.py::test_plot_datetime
0.68s call     pygmt/tests/test_plot.py::test_plot_matrix_color
0.68s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane_with_colored_frontal_facade
0.67s call     pygmt/tests/test_makecpt.py::test_makecpt_cyclic
0.67s call     pygmt/tests/test_solar.py::test_solar_set_terminator_datetime[terminator_datetime_string]
0.67s call     pygmt/tests/test_grdview.py::test_grdview_grid_dataarray
0.67s call     pygmt/tests/test_solar.py::test_solar_set_terminator_datetime[terminator_datetime1]
0.67s call     pygmt/tests/test_ternary.py::test_ternary
0.67s call     pygmt/tests/test_grdview.py::test_grdview_on_a_plane
0.67s call     pygmt/tests/test_solar.py::test_solar_default_terminator
0.67s call     pygmt/tests/test_grdview.py::test_grdview_with_cmap_for_perspective_surface_plot
0.66s call     pygmt/tests/test_ternary.py::test_ternary_1_label
0.66s call     pygmt/tests/test_plot.py::test_plot_from_file
0.66s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective
0.66s call     pygmt/tests/test_plot.py::test_plot_red_circles
0.66s call     pygmt/tests/test_plot.py::test_plot_colors_sizes_proj
0.65s call     pygmt/tests/test_histogram.py::test_histogram[list]
0.65s call     pygmt/tests/test_histogram.py::test_histogram[Series]
0.65s call     pygmt/tests/test_tilemap.py::test_tilemap_no_clip[True]
0.65s call     pygmt/tests/test_plot.py::test_plot_colors
0.65s call     pygmt/tests/test_grdimage.py::test_grdimage_global_subset
0.65s call     pygmt/tests/test_plot.py::test_plot_sizes
0.65s call     pygmt/tests/test_grdimage.py::test_grdimage_slice
0.65s call     pygmt/tests/test_text.py::test_text_nonstr_text
0.65s call     pygmt/tests/test_timestamp.py::test_timestamp_justification
0.64s call     pygmt/tests/test_grdimage.py::test_grdimage_default_no_shading[None]
0.64s call     pygmt/tests/test_plot3d.py::test_plot3d_colors
0.63s call     pygmt/tests/test_plot3d.py::test_plot3d_colors_sizes
0.63s call     pygmt/tests/test_grd2cpt.py::test_grd2cpt
0.63s call     pygmt/tests/test_plot3d.py::test_plot3d_projection
0.63s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dict_mecha_mixed]
0.63s call     pygmt/tests/test_text.py::test_text_justify_parsed_from_textfile
0.63s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[array1d]
0.63s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dataframe]
0.63s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[dict_mecha]
0.62s call     pygmt/tests/test_grdview.py::test_grdview_with_perspective_and_zscale
0.62s call     pygmt/tests/test_helpers.py::test_non_ascii_to_octal
0.62s call     pygmt/tests/test_meca.py::test_meca_spec_multiple_focalmecha[array2d]
0.61s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[dict_full]
0.61s call     pygmt/tests/test_basemap.py::test_basemap_subplot
0.61s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha_file
0.61s call     pygmt/tests/test_rose.py::test_rose_plot_data_using_cpt
0.61s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[pandas]
0.61s call     pygmt/tests/test_rose.py::test_rose_2d_array_single
0.61s call     pygmt/tests/test_meca.py::test_meca_spec_single_focalmecha[dict_mecha]
0.60s call     pygmt/tests/test_basemap.py::test_basemap_polar
0.60s call     pygmt/tests/test_basemap.py::test_basemap
0.60s call     pygmt/tests/test_tilemap.py::test_tilemap_no_clip[False]
0.60s call     pygmt/tests/test_plot.py::test_plot_projection
0.60s call     pygmt/tests/test_plot.py::test_plot_matrix[170]
0.60s call     pygmt/tests/test_basemap.py::test_basemap_power_axis
0.59s call     pygmt/tests/test_timestamp.py::test_timestamp_offset
0.59s call     pygmt/tests/test_config.py::test_config_map_grid_pen
0.59s call     pygmt/tests/test_rose.py::test_rose_2d_array_multiple
0.59s call     pygmt/tests/test_meca.py::test_meca_eventname[args]
0.59s call     pygmt/tests/test_config.py::test_config_map_tick_length
0.59s call     pygmt/tests/test_plot.py::test_plot_matrix[#aaaaaa]
0.59s call     pygmt/tests/test_config.py::test_config_map_tick_pen
0.59s call     pygmt/tests/test_subplot.py::test_subplot_outside_plotting_positioning
0.59s call     pygmt/tests/test_config.py::test_config_map_grid_cross_size
0.58s call     pygmt/tests/test_meca.py::test_meca_dict_offset_eventname
0.58s call     pygmt/tests/test_meca.py::test_meca_eventname[dataframe]
0.58s call     pygmt/tests/test_subplot.py::test_subplot_clearance_and_shared_xy_axis_layout
0.58s call     pygmt/tests/test_meca.py::test_meca_offset[args]
0.58s call     pygmt/tests/test_meca.py::test_meca_spec_dict_all_scalars
0.57s call     pygmt/tests/test_meca.py::test_meca_offset[dict]
0.57s call     pygmt/tests/test_rose.py::test_rose_data_file
0.57s call     pygmt/tests/test_meca.py::test_meca_offset[ndarray]
0.57s call     pygmt/tests/test_subplot.py::test_subplot_basic_frame
0.57s call     pygmt/tests/test_text.py::test_text_position_offset_with_line
0.56s call     pygmt/tests/test_text.py::test_text_position
0.56s call     pygmt/tests/test_subplot.py::test_subplot_direct
0.56s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_non_default_style
0.55s call     pygmt/tests/test_plot.py::test_plot_varying_intensity
0.55s call     pygmt/tests/test_figure.py::test_figure_savefig_transparent
0.55s call     pygmt/tests/test_plot.py::test_plot_dataframe_incols
0.55s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_default_style[str]
0.54s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_non_default_style
0.54s call     pygmt/tests/test_geopandas.py::test_geopandas_plot3d_non_default_circle
0.54s call     pygmt/tests/test_basemap.py::test_basemap_utm_projection[EPSG_32723 +width=5]
0.54s call     pygmt/tests/test_grdimage.py::test_grdimage_over_dateline
0.54s call     pygmt/tests/test_config.py::test_config_format_time_map
0.54s call     pygmt/tests/test_config.py::test_config_map_annot_offset
0.54s call     pygmt/tests/test_plot3d.py::test_plot3d_ogrgmt_file_multipoint_default_style[Path]
0.54s call     pygmt/tests/test_text.py::test_text_angle_font_justify_from_textfile
0.54s call     pygmt/tests/test_text.py::test_text_multiple_lines_of_text
0.53s call     pygmt/tests/test_text.py::test_text_angle_justify_font_arrays
0.53s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_default_style[str]
0.53s call     pygmt/tests/test_geopandas.py::test_geopandas_plot3d_default_cube
0.53s call     pygmt/tests/test_plot.py::test_plot_ogrgmt_file_multipoint_default_style[Path]
0.53s call     pygmt/tests/test_text.py::test_text_justify_array
0.53s call     pygmt/tests/test_wiggle.py::test_wiggle_data_incols
0.52s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_default_square
0.52s call     pygmt/tests/test_psconvert.py::test_psconvert
0.52s call     pygmt/tests/test_basemap.py::test_basemap_utm_projection[+proj=utm +zone=23 +south +datum=WGS84 +units=m +no_defs +width=5]
0.52s call     pygmt/tests/test_image.py::test_image
0.52s call     pygmt/tests/test_wiggle.py::test_wiggle
0.52s call     pygmt/tests/test_text.py::test_text_justify_bottom_right_and_top_left
0.51s call     pygmt/tests/test_geopandas.py::test_geopandas_plot_non_default_circle
0.51s call     pygmt/tests/test_makecpt.py::test_makecpt_plot_colorbar
0.51s call     pygmt/tests/test_makecpt.py::test_makecpt_truncated_zlow_zhigh
0.51s call     pygmt/tests/test_timestamp.py::test_timestamp_deprecated_timestamp
0.51s call     pygmt/tests/test_timestamp.py::test_timestamp_text_truncated
0.50s call     pygmt/tests/test_session_management.py::test_gmt_compat_6_is_applied
0.50s call     pygmt/tests/test_makecpt.py::test_makecpt_categorical
0.50s call     pygmt/tests/test_text.py::test_text_fill
0.50s call     pygmt/tests/test_timestamp.py::test_timestamp_deprecated_u
0.50s call     pygmt/tests/test_text.py::test_text_pen
0.50s call     pygmt/tests/test_config.py::test_config_format_date_map
0.50s call     pygmt/tests/test_text.py::test_text_angle_30
0.50s call     pygmt/tests/test_makecpt.py::test_makecpt_plot_colorbar_scaled_with_series
0.50s call     pygmt/tests/test_makecpt.py::test_makecpt_reverse_color_only
0.50s call     pygmt/tests/test_makecpt.py::test_makecpt_continuous
0.50s call     pygmt/tests/test_text.py::test_text_single_line_of_text
0.50s call     pygmt/tests/test_colorbar.py::test_colorbar_box
0.49s call     pygmt/tests/test_text.py::test_text_round_clearance
0.49s call     pygmt/tests/test_timestamp.py::test_timestamp_font
0.49s call     pygmt/tests/test_figure.py::test_figure_savefig_filename_with_spaces
0.49s call     pygmt/tests/test_timestamp.py::test_timestamp_text
0.49s call     pygmt/tests/test_timestamp.py::test_timestamp
0.48s call     pygmt/tests/test_makecpt.py::test_makecpt_reverse_color_and_zsign
0.48s call     pygmt/tests/test_timestamp.py::test_timestamp_label
0.48s call     pygmt/tests/test_colorbar.py::test_colorbar_truncated_to_zlow_zhigh
0.48s call     pygmt/tests/test_colorbar.py::test_colorbar_scaled_z_values
0.48s call     pygmt/tests/test_colorbar.py::test_colorbar_box_with_fill
0.48s call     pygmt/tests/test_text.py::test_text_font_bold
0.47s call     pygmt/tests/test_nearneighbor.py::test_nearneighbor_input_xyz
0.47s call     pygmt/tests/test_nearneighbor.py::test_nearneighbor_input_data[array]
0.47s call     pygmt/tests/test_nearneighbor.py::test_nearneighbor_input_data[Dataset]
0.47s call     pygmt/tests/test_nearneighbor.py::test_nearneighbor_with_outgrid_param
0.44s call     pygmt/tests/test_x2sys_cross.py::test_x2sys_cross_input_file_output_dataframe
0.43s call     pygmt/tests/test_x2sys_cross.py::test_x2sys_cross_trackvalues
0.40s call     pygmt/tests/test_x2sys_cross.py::test_x2sys_cross_input_file_output_file
0.35s call     pygmt/tests/test_x2sys_cross.py::test_x2sys_cross_region_interpolation_numpoints
0.34s call     pygmt/clib/session.py::pygmt.clib.session.Session.extract_region
0.33s call     pygmt/tests/test_clib_put_vector.py::test_put_vector_mixed_dtypes
0.26s call     pygmt/tests/test_init.py::test_show_versions
0.24s call     pygmt/tests/test_blockmedian.py::test_blockmedian_without_outfile_setting
0.24s call     pygmt/tests/test_blockmedian.py::test_blockmedian_input_filename
0.22s call     pygmt/src/grdfilter.py::pygmt.src.grdfilter.grdfilter

(1736 durations < 0.2s hidden.  Use -vv to show these durations.)
= 55 failed, 600 passed, 5 skipped, 4 xfailed, 2 xpassed, 3 warnings, 8 errors in 240.18s (0:04:00) =

Changing to ghostscript 10.02.1 (#2694) would increase the test failures from 55 to 210.

We can open 2 (or more) PRs to fix the failing tests:

Fix changes in earth_* grids (assuming the updates for the Remote Datasets on the server are stable now)
Fix the baseline image changes (after ghostscript 10.02.1 Bump ghostscript to 10.02.1 #2694)
- It looks like @earth_relief_01d_p now returns a 3 band image when loaded with rioxarray instead of a 1 band image? Will need to update fixture_xr_image in test_grdimage_image.py separately - Fix fixture_xr_image to open earth_day_01d_p directly with rioxarray #2963

seisman · 2024-01-08T04:25:32Z

Since there are ~200 failures, I think it makes more sense to update baseline images by modules.

weiji14 · 2024-01-08T05:02:47Z

Since there are ~200 failures, I think it makes more sense to update baseline images by modules.

Maybe group some of them, otherwise there will be 35 PRs. This is the summary count:

Test	Count	PR
../pygmt/tests/test_basemap.py	10	#2964 @seisman
../pygmt/tests/test_coast.py	4	#2965 @seisman
../pygmt/tests/test_colorbar.py	6	#2981
../pygmt/tests/test_config.py	10	#2975 @seisman
../pygmt/tests/test_contour.py	6	#2976
../pygmt/tests/test_datasets_earth_age.py	2	#2978
../pygmt/tests/test_datasets_earth_free_air_anomaly.py	2	#2978
../pygmt/tests/test_datasets_earth_geoid.py	2	#2978
../pygmt/tests/test_datasets_earth_magnetic_anomaly.py	6	#2978
../pygmt/tests/test_datasets_earth_relief.py	10	#2978
../pygmt/tests/test_datasets_earth_vertical_gravity_gradient.py	2	#2978
../pygmt/tests/test_geopandas.py	9	#2976
../pygmt/tests/test_grd2cpt.py	1	#2977
../pygmt/tests/test_grdcontour.py	4	#2976
../pygmt/tests/test_grdimage.py	6	#2984
../pygmt/tests/test_grdimage_image.py	1	#3005
../pygmt/tests/test_grdview.py	1	#2976
../pygmt/tests/test_helpers.py	1	#2976
../pygmt/tests/test_histogram.py	2	#2973 @seisman
../pygmt/tests/test_inset.py	2	#2973 @seisman
../pygmt/tests/test_legend.py	3	#2973 @seisman
../pygmt/tests/test_logo.py	2	#2973 @seisman
../pygmt/tests/test_makecpt.py	8	#2977
../pygmt/tests/test_meca.py	16	#2968 @seisman
../pygmt/tests/test_plot.py	22	#2972 @michaelgrund
../pygmt/tests/test_plot3d.py	13	#2971 @michaelgrund
../pygmt/tests/test_rose.py	7	#2969 @michaelgrund
../pygmt/tests/test_subplot.py	5	#2977
../pygmt/tests/test_ternary.py	3	#2973 @seisman
../pygmt/tests/test_text.py	24	#2974 @seisman
../pygmt/tests/test_tilemap.py	4	#2963 @weij14
../pygmt/tests/test_timestamp.py	8	#2970 @seisman
../pygmt/tests/test_velo.py	1	#2973 @seisman
../pygmt/tests/test_wiggle.py	2	#2973 @seisman
../pygmt/tests/test_x2sys_cross.py	3	#2986 @weiji14

seisman · 2024-01-08T06:19:06Z

Yes, better to have < 10 baseline image changes to make PR review easier.

seisman · 2024-01-08T06:39:27Z

Just in case it may be helpful. Here are the steps I'm using to update baseline images:

Check a single test file pytest pygmt/tests/test_makecpt.py
Go to the results directory and visually check the baseline.png, result.png and difference.png (if any)
If all result.png are correct, run the following command to batch copy the result.png to the pygmt/tests/baseline directory (be careful that some tests share the same baseline images):

ls results | awk -F'.' '{printf("mv results/%s/result.png pygmt/tests/baseline/%s.png\n", $0, $4)}' | bash

Run dvc status and dvc add ... to add the changed baseline images
Run git add ... and git commit to commit the changed .dvc files
Run dvc push and git push

seisman · 2024-01-09T11:31:36Z

After PR #2971, #2972 and #2977, we're almost done with updating the baseline images. Here are some of the remaining failures.

colorbars

Here is an example of the old and new baseline images for the test_colorbar_box test. As you can see, the colorbar annotations are too small in the new baseline image, which makes me think it's an upstream bug. However, it's just because the colorbar is set to 1 cm long but 0.5 cm high, which I bet no one will use in their papers. So I think we should take the opportunity to think about how we should test colorbar. Since the colorbar wrapper is just a simple wrapper with three lines, maybe we should just keep the simplest test and remove the others?

old	new

grdimage

The grdimage failures are most likely caused by the recent updates of the earth relief dataset. I think we should take the opportunity to use the static earth relief dataset so that future dataset updates won't cause PyGMT failures.

datasets

The dataset-related failures are caused by the recent updates of GMT remote datasets. To fix these failures, we just need to get the correct min/max values of the new datasets, like what I'm doing in PR #2978. But, why do we check the min/max values of the remote datasets if it's fully out of our control?

seisman · 2024-01-10T09:36:09Z

grdimage

The grdimage failures are most likely caused by the recent updates of the earth relief dataset. I think we should take the opportunity to use the static earth relief dataset so that future dataset updates won't cause PyGMT failures.

Unfortunately we can't, because @static_earth_relief.nc is not a global grid.

michaelgrund · 2024-01-10T12:43:09Z

The x2sys_cross failures need also to be fixed, right @seisman ?

seisman · 2024-01-10T12:49:57Z

The x2sys_cross failures need also to be fixed, right @seisman ?

Yes, but I've never used them, so I'm unsure if the new results are correct.

weiji14 · 2024-01-11T01:58:14Z

The x2sys_cross failures need also to be fixed, right @seisman ?

Yes, but I've never used them, so I'm unsure if the new results are correct.

Let me look into that. A quick look at the changes to x2sys_cross.c in GMT 6.5.0 only showed the addition of a nearest neighbour interpolation method to x2sys_cross in GenericMappingTools/gmt#7984, but that shouldn't have affected the results from the default linear interpolation method.

seisman · 2024-01-11T06:08:10Z

Some doctests also fail but are skipped in the "Tests" workflow.

$ export PYGMT_USE_EXTERNAL_DISPLAY=false && pytest pygmt/src/**.py

========================================== short test summary info ==========================================
FAILED pygmt/src/grd2xyz.py::pygmt.src.grd2xyz.grd2xyz
FAILED pygmt/src/grdclip.py::pygmt.src.grdclip.grdclip
FAILED pygmt/src/grdhisteq.py::pygmt.src.grdhisteq.grdhisteq.compute_bins
FAILED pygmt/src/grdproject.py::pygmt.src.grdproject.grdproject
FAILED pygmt/src/grdvolume.py::pygmt.src.grdvolume.grdvolume
FAILED pygmt/src/grd2xyz.py::pygmt.src.grd2xyz.grd2xyz
FAILED pygmt/src/grdclip.py::pygmt.src.grdclip.grdclip
FAILED pygmt/src/grdhisteq.py::pygmt.src.grdhisteq.grdhisteq.compute_bins
FAILED pygmt/src/grdproject.py::pygmt.src.grdproject.grdproject
FAILED pygmt/src/grdvolume.py::pygmt.src.grdvolume.grdvolume

================================================= FAILURES ==================================================
____________________________________ [doctest] pygmt.src.grd2xyz.grd2xyz ____________________________________
250 -------
251 >>> import pygmt
252 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
253 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
254 >>> grid = pygmt.datasets.load_earth_relief(
255 ...     resolution="30m", region=[10, 30, 15, 25]
256 ... )
257 >>> # Create a pandas DataFrame with the xyz data from an input grid
258 >>> xyz_dataframe = pygmt.grd2xyz(grid=grid, output_type="pandas")
259 >>> xyz_dataframe.head(n=2)
Differences (unified diff with -expected +actual):
    @@ -1,3 +1,3 @@
         lon   lat  elevation
    -0  10.0  25.0      863.0
    -1  10.5  25.0      985.5
    +0  10.0  25.0      965.5
    +1  10.5  25.0      876.5

/home/seisman/OSS/gmt/pygmt/pygmt/src/grd2xyz.py:259: DocTestFailure
____________________________________ [doctest] pygmt.src.grdclip.grdclip ____________________________________
108 Example
109 -------
110 >>> import pygmt
111 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
112 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
113 >>> grid = pygmt.datasets.load_earth_relief(
114 ...     resolution="30m", region=[10, 30, 15, 25]
115 ... )
116 >>> # Report the minimum and maximum data values
117 >>> [grid.data.min(), grid.data.max()]
Expected:
    [170.0, 2275.5]
Got:
    [183.5, 1807.0]

/home/seisman/OSS/gmt/pygmt/pygmt/src/grdclip.py:117: DocTestFailure
___________________________ [doctest] pygmt.src.grdhisteq.grdhisteq.compute_bins ____________________________
327 >>> import pygmt
328 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
329 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
330 >>> grid = pygmt.datasets.load_earth_relief(
331 ...     resolution="30m", region=[10, 30, 15, 25]
332 ... )
333 >>> # Find elevation intervals that split the data range into 5
334 >>> # divisions, each of which have an equal area in the original grid.
335 >>> bins = pygmt.grdhisteq.compute_bins(grid=grid, divisions=5)
336 >>> print(bins)
Differences (unified diff with -expected +actual):
    @@ -1,7 +1,7 @@
             start    stop
    -bin_id
    -0       170.0   389.0
    -1       389.0   470.5
    -2       470.5   571.0
    -3       571.0   705.0
    -4       705.0  2275.5
    +bin_id               
    +0       183.5   395.0
    +1       395.0   472.0
    +2       472.0   575.0
    +3       575.0   709.5
    +4       709.5  1807.0

/home/seisman/OSS/gmt/pygmt/pygmt/src/grdhisteq.py:336: DocTestFailure
_________________________________ [doctest] pygmt.src.grdproject.grdproject _________________________________
179 >>> import pygmt
180 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
181 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
182 >>> grid = pygmt.datasets.load_earth_relief(
183 ...     resolution="30m", region=[10, 30, 15, 25]
184 ... )
185 >>> # Create a new grid from the input grid, set the projection to
186 >>> # Mercator, and set inverse to "True" to change from "geographic"
187 >>> # to "rectangular"
188 >>> new_grid = pygmt.grdproject(grid=grid, projection="M10c", inverse=True)
UNEXPECTED EXCEPTION: GMTCLibError("Module 'grdproject' failed with status code 72:\ngrdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R")
Traceback (most recent call last):
  File "/home/seisman/opt/miniconda/envs/pygmt/lib/python3.12/doctest.py", line 1357, in __run
    exec(compile(example.source, filename, "single",
  File "<doctest pygmt.src.grdproject.grdproject[2]>", line 1, in <module>
  File "/home/seisman/OSS/gmt/pygmt/pygmt/helpers/decorators.py", line 603, in new_module
    return module_func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seisman/OSS/gmt/pygmt/pygmt/helpers/decorators.py", line 776, in new_module
    return module_func(*bound.args, **bound.kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seisman/OSS/gmt/pygmt/pygmt/src/grdproject.py", line 122, in grdproject
    lib.call_module(
  File "/home/seisman/OSS/gmt/pygmt/pygmt/clib/session.py", line 624, in call_module
    raise GMTCLibError(
pygmt.exceptions.GMTCLibError: Module 'grdproject' failed with status code 72:
grdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R
/home/seisman/OSS/gmt/pygmt/pygmt/src/grdproject.py:188: UnexpectedException
------------------------------------------- Captured stderr call --------------------------------------------
grdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R
__________________________________ [doctest] pygmt.src.grdvolume.grdvolume __________________________________
108 ...     resolution="30m", region=[10, 30, 15, 25]
109 ... )
110 >>> # Create a pandas dataframe that contains the contour, area, volume,
111 >>> # and maximum mean height above the plane specified by the given
112 >>> # contour and below the surface; set the minimum contour z-value to
113 >>> # 200, the maximum to 400, and the interval to 50.
114 >>> output_dataframe = pygmt.grdvolume(
115 ...     grid=grid, contour=[200, 400, 50], output_type="pandas"
116 ... )
117 >>> print(output_dataframe)
Differences (unified diff with -expected +actual):
    @@ -1,6 +1,6 @@
    -    0             1             2           3
    -0  200  2.318187e+12  8.533727e+14  368.120722
    -1  250  2.272471e+12  7.383936e+14  324.929840
    -2  300  2.162074e+12  6.273066e+14  290.141086
    -3  350  2.018302e+12  5.222640e+14  258.764032
    -4  400  1.857370e+12  4.252699e+14  228.963499
    +     0             1             2           3
    +0  200  2.323600e+12  8.523815e+14  366.836554
    +1  250  2.275864e+12  7.371655e+14  323.905736
    +2  300  2.166707e+12  6.258570e+14  288.851699
    +3  350  2.019284e+12  5.207732e+14  257.899955
    +4  400  1.870441e+12  4.236191e+14  226.480847

/home/seisman/OSS/gmt/pygmt/pygmt/src/grdvolume.py:117: DocTestFailure
____________________________________ [doctest] pygmt.src.grd2xyz.grd2xyz ____________________________________
250 -------
251 >>> import pygmt
252 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
253 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
254 >>> grid = pygmt.datasets.load_earth_relief(
255 ...     resolution="30m", region=[10, 30, 15, 25]
256 ... )
257 >>> # Create a pandas DataFrame with the xyz data from an input grid
258 >>> xyz_dataframe = pygmt.grd2xyz(grid=grid, output_type="pandas")
259 >>> xyz_dataframe.head(n=2)
Differences (unified diff with -expected +actual):
    @@ -1,3 +1,3 @@
         lon   lat  elevation
    -0  10.0  25.0      863.0
    -1  10.5  25.0      985.5
    +0  10.0  25.0      965.5
    +1  10.5  25.0      876.5

/home/seisman/OSS/gmt/pygmt/pygmt/src/grd2xyz.py:259: DocTestFailure
____________________________________ [doctest] pygmt.src.grdclip.grdclip ____________________________________
108 Example
109 -------
110 >>> import pygmt
111 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
112 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
113 >>> grid = pygmt.datasets.load_earth_relief(
114 ...     resolution="30m", region=[10, 30, 15, 25]
115 ... )
116 >>> # Report the minimum and maximum data values
117 >>> [grid.data.min(), grid.data.max()]
Expected:
    [170.0, 2275.5]
Got:
    [183.5, 1807.0]

/home/seisman/OSS/gmt/pygmt/pygmt/src/grdclip.py:117: DocTestFailure
___________________________ [doctest] pygmt.src.grdhisteq.grdhisteq.compute_bins ____________________________
327 >>> import pygmt
328 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
329 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
330 >>> grid = pygmt.datasets.load_earth_relief(
331 ...     resolution="30m", region=[10, 30, 15, 25]
332 ... )
333 >>> # Find elevation intervals that split the data range into 5
334 >>> # divisions, each of which have an equal area in the original grid.
335 >>> bins = pygmt.grdhisteq.compute_bins(grid=grid, divisions=5)
336 >>> print(bins)
Differences (unified diff with -expected +actual):
    @@ -1,7 +1,7 @@
             start    stop
    -bin_id
    -0       170.0   389.0
    -1       389.0   470.5
    -2       470.5   571.0
    -3       571.0   705.0
    -4       705.0  2275.5
    +bin_id               
    +0       183.5   395.0
    +1       395.0   472.0
    +2       472.0   575.0
    +3       575.0   709.5
    +4       709.5  1807.0

/home/seisman/OSS/gmt/pygmt/pygmt/src/grdhisteq.py:336: DocTestFailure
_________________________________ [doctest] pygmt.src.grdproject.grdproject _________________________________
179 >>> import pygmt
180 >>> # Load a grid of @earth_relief_30m data, with a longitude range of
181 >>> # 10° E to 30° E, and a latitude range of 15° N to 25° N
182 >>> grid = pygmt.datasets.load_earth_relief(
183 ...     resolution="30m", region=[10, 30, 15, 25]
184 ... )
185 >>> # Create a new grid from the input grid, set the projection to
186 >>> # Mercator, and set inverse to "True" to change from "geographic"
187 >>> # to "rectangular"
188 >>> new_grid = pygmt.grdproject(grid=grid, projection="M10c", inverse=True)
UNEXPECTED EXCEPTION: GMTCLibError("Module 'grdproject' failed with status code 72:\ngrdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R")
Traceback (most recent call last):
  File "/home/seisman/opt/miniconda/envs/pygmt/lib/python3.12/doctest.py", line 1357, in __run
    exec(compile(example.source, filename, "single",
  File "<doctest pygmt.src.grdproject.grdproject[2]>", line 1, in <module>
  File "/home/seisman/OSS/gmt/pygmt/pygmt/helpers/decorators.py", line 603, in new_module
    return module_func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seisman/OSS/gmt/pygmt/pygmt/helpers/decorators.py", line 776, in new_module
    return module_func(*bound.args, **bound.kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/seisman/OSS/gmt/pygmt/pygmt/src/grdproject.py", line 122, in grdproject
    lib.call_module(
  File "/home/seisman/OSS/gmt/pygmt/pygmt/clib/session.py", line 624, in call_module
    raise GMTCLibError(
pygmt.exceptions.GMTCLibError: Module 'grdproject' failed with status code 72:
grdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R
/home/seisman/OSS/gmt/pygmt/pygmt/src/grdproject.py:188: UnexpectedException
------------------------------------------- Captured stderr call --------------------------------------------
grdproject [ERROR]: Option -J: If map width is given you must also specify a region with -R
__________________________________ [doctest] pygmt.src.grdvolume.grdvolume __________________________________
108 ...     resolution="30m", region=[10, 30, 15, 25]
109 ... )
110 >>> # Create a pandas dataframe that contains the contour, area, volume,
111 >>> # and maximum mean height above the plane specified by the given
112 >>> # contour and below the surface; set the minimum contour z-value to
113 >>> # 200, the maximum to 400, and the interval to 50.
114 >>> output_dataframe = pygmt.grdvolume(
115 ...     grid=grid, contour=[200, 400, 50], output_type="pandas"
116 ... )
117 >>> print(output_dataframe)
Differences (unified diff with -expected +actual):
    @@ -1,6 +1,6 @@
    -    0             1             2           3
    -0  200  2.318187e+12  8.533727e+14  368.120722
    -1  250  2.272471e+12  7.383936e+14  324.929840
    -2  300  2.162074e+12  6.273066e+14  290.141086
    -3  350  2.018302e+12  5.222640e+14  258.764032
    -4  400  1.857370e+12  4.252699e+14  228.963499
    +     0             1             2           3
    +0  200  2.323600e+12  8.523815e+14  366.836554
    +1  250  2.275864e+12  7.371655e+14  323.905736
    +2  300  2.166707e+12  6.258570e+14  288.851699
    +3  350  2.019284e+12  5.207732e+14  257.899955
    +4  400  1.870441e+12  4.236191e+14  226.480847

We decided to skip some inline doctests to avoid slowing our tests in PR #1790, but these tests may be outdated and failures may be uncaught. We should:

Fix these failing inline doctests
Run the full tests when a PR is merged into the main branch or in a scheduled job WIP: CI: Run full tests (including skipped doctests) in main branch for push or schedule jobs #2987

seisman added the maintenance Boring but important stuff for the core devs label Jan 7, 2024

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Bump the GMT version in CI to 6.5.0 #2962

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Release PyGMT v0.11.0 #2843

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Fix fixture_xr_image to open earth_day_01d_p directly with rioxarray #2963

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Update baseline images for basemap tests #2964

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Update baseline images for coast tests #2965

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Bump the GMT version to 6.5.0 #2966

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Update baseline images for meca tests #2968

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Update baseline images for rose tests #2969

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Update baseline images for timestamp tests #2970

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Update baseline images for plot3d tests #2971

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Update baseline images for plot tests #2972

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Simplify two colorbar tests and remove all others #2981

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Update min/max value of remote datasets for recent upstream changes #2978

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Update baseline images for grdimage tests #2984

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Update output shape and mean values from some x2sys_cross tests #2986

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Update failing doctests with upstream dataset changes #2988

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Links to GMT 6.5: Update "cookbook" to "reference" #2990

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Bump to GMT 6.5.0 #2961

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Bump to GMT 6.5.0 #2961

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