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self = <pysatMadrigal.tests.test_instruments.TestInstruments object at 0x119549a30> clean_level = 'clean' inst_dict = {'inst_id': '', 'inst_module': <module 'pysatMadrigal.instruments.gnss_tec' from '/Users/runner/work/pysatMadrigal/pys...uments/gnss_tec.py'>, 'tag': 'site', 'user_info': {'password': 'pysat.developers@gmail.com', 'user': 'pysat+CI_tests'}} @pytest.mark.second # Need to maintain download mark for backwards compatibility. # Can remove once pysat 3.1.0 is released and libraries are updated. @pytest.mark.load_options @pytest.mark.download @pytest.mark.parametrize("clean_level", ['none', 'dirty', 'dusty', 'clean']) def test_load(self, clean_level, inst_dict): """Test that instruments load at each cleaning level. Parameters ---------- clean_level : str Cleanliness level for loaded instrument data. inst_dict : dict Dictionary containing info to instantiate a specific instrument. Set automatically from instruments['download'] when `initialize_test_package` is run. """ test_inst, date = initialize_test_inst_and_date(inst_dict) if len(test_inst.files.files) > 0: # Set Clean Level test_inst.clean_level = clean_level target = 'Fake Data to be cleared' test_inst.data = [target] try: > test_inst.load(date=date, use_header=True) /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pysat/tests/classes/cls_instrument_library.py:343: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pysat/_instrument.py:3332: in load self.data, meta = self._load_data(date=self.date, fid=self._fid, /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pysat/_instrument.py:1619: in _load_data data, mdata = self._load_rtn(load_fname, tag=self.tag, pysatMadrigal/instruments/gnss_tec.py:315: in load data, meta, lat_keys, lon_keys = gnss.load_site(fnames) pysatMadrigal/instruments/methods/gnss.py:1[54](https://github.com/pysat/pysatMadrigal/actions/runs/8251407088/job/22619624627?pr=98#step:10:55): in load_site data, meta = general.load(fnames, 'site', '', xarray_coords=xcoords) pysatMadrigal/instruments/methods/general.py:780: in load file_data = xr.open_dataset(load_file_types["netCDF4"][0], /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/api.py:573: in open_dataset backend_ds = backend.open_dataset( /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:646: in open_dataset store = NetCDF4DataStore.open( /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:409: in open return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose) /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:3[56](https://github.com/pysat/pysatMadrigal/actions/runs/8251407088/job/22619624627?pr=98#step:10:57): in __init__ self.format = self.ds.data_model /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:418: in ds return self._acquire() /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:412: in _acquire with self._manager.acquire_context(needs_lock) as root: /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py:137: in __enter__ return next(self.gen) /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/file_manager.py:199: in acquire_context file, cached = self._acquire_with_cache_info(needs_lock) /Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/xarray/backends/file_manager.py:217: in _acquire_with_cache_info file = self._opener(*self._args, **kwargs) src/netCDF4/_netCDF4.pyx:2492: in netCDF4._netCDF4.Dataset.__init__ ??? src/netCDF4/_netCDF4.pyx:1927: in netCDF4._netCDF4._get_vars ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E RuntimeError: NetCDF: HDF error src/netCDF4/_netCDF4.pyx:2034: RuntimeError
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Description
Test configuration
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