(self, name)
| 902 | return self.zarr_group |
| 903 | |
| 904 | def open_store_variable(self, name): |
| 905 | zarr_array = self.members[name] |
| 906 | data = indexing.LazilyIndexedArray(ZarrArrayWrapper(zarr_array)) |
| 907 | try_nczarr = self._mode == "r" |
| 908 | dimensions, attributes = _get_zarr_dims_and_attrs( |
| 909 | zarr_array, DIMENSION_KEY, try_nczarr |
| 910 | ) |
| 911 | attributes = dict(attributes) |
| 912 | |
| 913 | encoding = { |
| 914 | "chunks": zarr_array.chunks, |
| 915 | "preferred_chunks": dict(zip(dimensions, zarr_array.chunks, strict=True)), |
| 916 | } |
| 917 | |
| 918 | if _zarr_v3(): |
| 919 | encoding.update( |
| 920 | { |
| 921 | "compressors": zarr_array.compressors, |
| 922 | "filters": zarr_array.filters, |
| 923 | "shards": zarr_array.shards, |
| 924 | } |
| 925 | ) |
| 926 | if self.zarr_group.metadata.zarr_format == 3: |
| 927 | encoding.update({"serializer": zarr_array.serializer}) |
| 928 | else: |
| 929 | encoding.update( |
| 930 | { |
| 931 | "compressor": zarr_array.compressor, |
| 932 | "filters": zarr_array.filters, |
| 933 | } |
| 934 | ) |
| 935 | |
| 936 | if self._use_zarr_fill_value_as_mask: |
| 937 | # Setting this attribute triggers CF decoding for missing values |
| 938 | # by interpreting Zarr's fill_value to mean the same as netCDF's _FillValue |
| 939 | if zarr_array.fill_value is not None: |
| 940 | attributes["_FillValue"] = zarr_array.fill_value |
| 941 | elif "_FillValue" in attributes: |
| 942 | attributes["_FillValue"] = FillValueCoder.decode( |
| 943 | attributes["_FillValue"], zarr_array.dtype |
| 944 | ) |
| 945 | |
| 946 | return Variable(dimensions, data, attributes, encoding) |
| 947 | |
| 948 | def get_variables(self): |
| 949 | return FrozenDict((k, self.open_store_variable(k)) for k in self.array_keys()) |
no test coverage detected