Bump to GMT 6.5.0 - Githubissues

seisman commented 8 months ago

:tada: 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:

[x] Bump the GMT version in CI (1 PR) #2962
- [x] Update environment.yml
- [x] Update ci/requirements/docs.yml
- [x] Update .github/workflows/benchmarks.yml
- [x] Update .github/workflows/cache_data.yaml
- [x] Update .github/workflows/ci_doctests.yaml
- [x] Update .github/workflows/ci_docs.yml
- [x] Update .github/workflows/ci_tests.yaml
- [x] Add the legacy GMT version to .github/workflows/ci_tests_legacy.yaml
- [x] Update GMT 6.x minor version for extlinks urls in doc/conf.py
- [x] Update GMT 6.x minor version in .github/workflows/check-links.yml
[x] Fix failing tests (1 or more PRs)
[x] Fix xfail pytest markers on tests that are now xpass
[x] Fix links to GMT documentation (renaming "cookbook" to "reference"): #2990

seisman commented 8 months ago

Probably need to see if there is GMT 6.5.1 (https://github.com/GenericMappingTools/gmt/issues/8265).

Edit: Likely no. See https://github.com/GenericMappingTools/gmt/pull/8266.

weiji14 commented 8 months ago

~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

```python-traceback ==================================== 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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 :1: SyntaxWarning: Short-form parameter (R) is not recommended. Use long-form parameter 'region' instead. pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias :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:

```python-traceback ==================================== 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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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

```python-traceback =================================== 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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 = (.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 :1: SyntaxWarning: Short-form parameter (R) is not recommended. Use long-form parameter 'region' instead. pygmt/helpers/decorators.py::pygmt.helpers.decorators.use_alias :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 #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 - #2963

seisman commented 8 months ago

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

weiji14 commented 8 months ago

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 commented 8 months ago

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

seisman commented 8 months ago

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 commented 8 months ago

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 commented 8 months ago

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 commented 8 months ago

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

seisman commented 8 months ago

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 commented 8 months ago

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 https://github.com/GenericMappingTools/gmt/pull/7984, but that shouldn't have affected the results from the default linear interpolation method.

seisman commented 8 months ago

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 "", line 1, in 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 "", line 1, in 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 #2987

GenericMappingTools / pygmt

Bump to GMT 6.5.0 #2961

colorbars

grdimage

datasets

grdimage