def test_get_ocgis_field_from_esmpy_spatial_only(self): """Test with spatial information only.""" row = VectorDimension(value=[5, 6]) col = VectorDimension(value=[7, 8]) grid = SpatialGridDimension(row=row, col=col) sdim = SpatialDimension(grid=grid) field = Field(spatial=sdim) value = np.random.rand(*field.shape) variable = Variable(value=value, name="foo") field.variables.add_variable(variable) efield = self.get_esmf_field(field=field) self.assertIsInstance(efield, ESMF.Field) ofield = get_ocgis_field_from_esmpy_field(efield) for attr in ["realization", "temporal", "level"]: self.assertIsNone(getattr(ofield, attr))
def __init__(self, init_value): if isinstance(init_value, self.__class__): # Allow the dataset object to be initialized by an instance of itself. self.__dict__ = init_value.__dict__ else: if init_value is not None: if isinstance(init_value, RequestDatasetCollection): init_value = deepcopy(init_value) else: if isinstance(init_value, (RequestDataset, dict, Field)): itr = [init_value] elif type(init_value) in [list, tuple]: itr = init_value else: should_raise = True try: import ESMF except ImportError: # ESMF is not a required library ocgis_lh('Could not import ESMF library.', level=logging.WARN) else: if isinstance(init_value, ESMF.Field): from ocgis.regrid.base import get_ocgis_field_from_esmpy_field field = get_ocgis_field_from_esmpy_field(init_value) itr = [field] should_raise = False if should_raise: raise DefinitionValidationError(self, 'Type not accepted: {0}'.format(type(init_value))) rdc = RequestDatasetCollection() for rd in itr: if not isinstance(rd, Field): rd = deepcopy(rd) try: rdc.update(rd) except NoDimensionedVariablesFound: if rd._name is None: msg = messages.M2.format(rd.uri) raise DefinitionValidationError(self, msg) else: raise init_value = rdc else: init_value = init_value super(Dataset, self).__init__(init_value)
def test_get_ocgis_field_from_esmpy_field(self): # todo: return spherical crs if none is passed. check something on the grid np.random.seed(1) temporal = TemporalDimension(value=[3000.0, 4000.0, 5000.0]) level = VectorDimension(value=[10, 20, 30, 40]) realization = VectorDimension(value=[100, 200]) kwds = dict( crs=[None, CoordinateReferenceSystem(epsg=4326), Spherical()], with_mask=[False, True], with_corners=[False, True], dimensions=[False, True], drealization=[False, True], dtemporal=[False, True], dlevel=[False, True], ) for k in self.iter_product_keywords(kwds): row = VectorDimension(value=[1.0, 2.0]) col = VectorDimension(value=[3.0, 4.0]) if k.with_corners: row.set_extrapolated_bounds() col.set_extrapolated_bounds() value_tmin = np.random.rand(2, 3, 4, 2, 2) tmin = Variable(value=value_tmin, name="tmin") variables = VariableCollection([tmin]) grid = SpatialGridDimension(row=row, col=col) sdim = SpatialDimension(grid=grid, crs=k.crs) field = Field(variables=variables, spatial=sdim, temporal=temporal, level=level, realization=realization) if k.with_mask: mask = np.zeros(value_tmin.shape[-2:], dtype=bool) mask[0, 1] = True field._set_new_value_mask_(field, mask) sdim.set_mask(mask) self.assertTrue(tmin.value.mask.any()) self.assertTrue(sdim.get_mask().any()) else: self.assertFalse(tmin.value.mask.any()) self.assertFalse(sdim.get_mask().any()) coll = SpatialCollection() coll[1] = {field.name: field} conv = ESMPyConverter([coll]) efield = conv.write() if k.dimensions: dimensions = {} if k.drealization: dimensions["realization"] = realization if k.dtemporal: dimensions["temporal"] = temporal if k.dlevel: dimensions["level"] = level else: dimensions = None ofield = get_ocgis_field_from_esmpy_field(efield, crs=k.crs, dimensions=dimensions) self.assertIsInstance(ofield, Field) self.assertEqual(ofield.shape, efield.shape) if k.drealization and k.dimensions: target = realization.value else: target = np.array([1, 2]) self.assertNumpyAll(ofield.realization.value, target) if k.dtemporal and k.dimensions: target = temporal.value else: target = np.array([1, 1, 1]) with self.assertRaises(CannotFormatTimeError): ofield.temporal.value_datetime self.assertFalse(ofield.temporal.format_time) self.assertNumpyAll(ofield.temporal.value, target) if k.dlevel and k.dimensions: target = level.value else: target = np.array([1, 2, 3, 4]) self.assertNumpyAll(ofield.level.value, target) self.assertNumpyAll(field.spatial.grid.value, ofield.spatial.grid.value) if k.with_corners: self.assertIsNotNone(ofield.spatial.grid.corners) self.assertNumpyAll(field.spatial.grid.corners, ofield.spatial.grid.corners) self.assertEqual(ofield.spatial.crs, sdim.crs) ofield_tmin_value = ofield.variables[efield.name].value for arr1, arr2 in itertools.combinations([tmin.value, efield, ofield_tmin_value], r=2): self.assertNumpyAll(arr1, arr2, check_arr_type=False) rows = list(ofield.get_iter()) try: self.assertEqual(len(rows), len(value_tmin.flatten())) except AssertionError: self.assertTrue(k.with_mask) self.assertEqual(len(rows), len(tmin.value.compressed())) self.assertTrue(np.may_share_memory(ofield_tmin_value, efield)) self.assertFalse(np.may_share_memory(ofield_tmin_value, tmin.value))