Add libgdal-jp2openjpeg dependency to ci_tests.yml

[weiji14]

Description of proposed changes

Enable reading *.jp2 files, such as the earth_relief dataset, and also mars_relief, earth_age, mercury_relief, earth_faa, moon_relief, earth_geoid, pluto_relief, earth_mag, venus_relief, earth_mag4km, earth_wdmam, earth_synbath, earth_vgg.

The gdal package on conda-forge now depends on libgdal-core which is a lightweight version that doesn't include certain drivers. See conda-forge/gdal-feedstock#948 and conda-forge/gdal-feedstock#722.

Fixes error on CI tests at https://github.com/GenericMappingTools/pygmt/actions/runs/9932182753/job/27433144596:

=================================== FAILURES ===================================
___________________ test_accessor_grid_source_file_not_exist ___________________
[gw0] linux -- Python 3.10.14 /home/runner/micromamba/envs/pygmt/bin/python3.10

    def test_accessor_grid_source_file_not_exist():
        """
        Check that the accessor fallbacks to the default registration and gtype when the
        grid source file (i.e., grid.encoding["source"]) doesn't exist.
        """
        # Load the 05m earth relief grid, which is stored as tiles
>       grid = load_earth_relief(
            resolution="05m", region=[0, 5, -5, 5], registration="pixel"
        )

../pygmt/tests/test_accessor.py:112: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../pygmt/datasets/earth_relief.py:175: in load_earth_relief
    grid = _load_remote_dataset(
../pygmt/helpers/decorators.py:773: in new_module
    return module_func(*bound.args, **bound.kwargs)
../pygmt/datasets/load_remote_dataset.py:418: in _load_remote_dataset
    grid = lib.virtualfile_to_raster(outgrid=None, vfname=voutgrd)
../pygmt/clib/session.py:2069: in virtualfile_to_raster
    return self.read_virtualfile(vfname, kind=kind).contents.to_dataarray()
../pygmt/datatypes/grid.py:192: in to_dataarray
    if grid[dim][0] > grid[dim][1]:
../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/xarray/core/dataarray.py:772: in __getitem__
    return self.isel(indexers=self._item_key_to_dict(key))
../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/xarray/core/dataarray.py:1291: in isel
    variable = self._variable.isel(indexers, missing_dims=missing_dims)
../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/xarray/core/variable.py:1226: in isel
    return self[key]
../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/xarray/core/variable.py:786: in __getitem__
    data = as_indexable(self._data)[indexer]
../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/xarray/core/indexing.py:1481: in __getitem__
    result = self.array[key]
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = Float64Index([], dtype='float64', name='y'), key = 0

    def __getitem__(self, key):
        """
        Override numpy.ndarray's __getitem__ method to work as desired.
    
        This function adds lists and Series as valid boolean indexers
        (ndarrays only supports ndarray with dtype=bool).
    
        If resulting ndim != 1, plain ndarray is returned instead of
        corresponding `Index` subclass.
    
        """
        getitem = self._data.__getitem__
    
        if is_integer(key) or is_float(key):
            # GH#44051 exclude bool, which would return a 2d ndarray
            key = com.cast_scalar_indexer(key, warn_float=True)
>           return getitem(key)
E           IndexError: index 0 is out of bounds for axis 0 with size 0

../../../../micromamba/envs/pygmt/lib/python3.10/site-packages/pandas/core/indexes/base.py:5320: IndexError
----------------------------- Captured stderr call -----------------------------
ERROR 4: `/home/runner/.gmt/server/earth/earth_relief/earth_relief_05m_p/S90E000.earth_relief_05m_p.jp2' not recognized as being in a supported file format. It could have been recognized by driver JP2OpenJPEG, but plugin gdal_JP2OpenJPEG.so is not available in your installation. You may install it with 'conda install -c conda-forge libgdal-jp2openjpeg'
ERROR 4: `/home/runner/.gmt/server/earth/earth_relief/earth_relief_05m_p/S90E000.earth_relief_05m_p.jp2' not recognized as being in a supported file format. It could have been recognized by driver JP2OpenJPEG, but plugin gdal_JP2OpenJPEG.so is not available in your installation. You may install it with 'conda install -c conda-forge libgdal-jp2openjpeg'
ERROR 4: `/home/runner/.gmt/server/earth/earth_relief/earth_relief_05m_p/S90E000.earth_relief_05m_p.jp2' not recognized as being in a supported file format. It could have been recognized by driver JP2OpenJPEG, but plugin gdal_JP2OpenJPEG.so is not available in your installation. You may install it with 'conda install -c conda-forge libgdal-jp2openjpeg'
[Session pygmt-session (103)]: Error returned from GMT API: GMT_FILE_NOT_FOUND (16)
[Session pygmt-session (103)]: Error returned from GMT API: GMT_GRID_READ_ERROR (18)
[Session pygmt-session (103)]: Error returned from GMT API: GMT_GRID_READ_ERROR (18)

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[weiji14]

Do we want to add this here, or in the gmt/pygmt conda-forge feedstock?

[seisman]

I think we should add it to the gmt feedstock, otherwise gmt users also can't use these tiled remote datasets.

[weiji14]

Yeah, it'll be nicer to include it directly as a dependency in gmt-feedstock, I'll open a PR for that.