Buckets:
| from collections.abc import Mapping, Sequence | |
| def normalize_json(obj): | |
| """Recursively normalize an object into JSON-compatible types.""" | |
| match obj: | |
| case Mapping(): | |
| return {normalize_json(k): normalize_json(v) for k, v in obj.items()} | |
| case bytes(): | |
| try: | |
| return obj.decode("utf-8") | |
| except UnicodeDecodeError: | |
| raise ValueError(f"Unsupported value: {type(obj)}") | |
| case str() | int() | float() | bool() | None: | |
| return obj | |
| case Sequence(): # str and bytes were already handled. | |
| return [normalize_json(v) for v in obj] | |
| case _: # Other types can't be serialized to JSON | |
| raise TypeError(f"Unsupported type: {type(obj)}") | |
Xet Storage Details
- Size:
- 767 Bytes
- Xet hash:
- fd6028fee1a273a843623cfae854f1cbd52a40022fa63b05503164f8c9278f82
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.