Spaces:
Runtime error
Runtime error
| # Copyright (c) OpenMMLab. All rights reserved. | |
| import json | |
| import numpy as np | |
| from .base import BaseFileHandler | |
| def set_default(obj): | |
| """Set default json values for non-serializable values. | |
| It helps convert ``set``, ``range`` and ``np.ndarray`` data types to list. | |
| It also converts ``np.generic`` (including ``np.int32``, ``np.float32``, | |
| etc.) into plain numbers of plain python built-in types. | |
| """ | |
| if isinstance(obj, (set, range)): | |
| return list(obj) | |
| elif isinstance(obj, np.ndarray): | |
| return obj.tolist() | |
| elif isinstance(obj, np.generic): | |
| return obj.item() | |
| raise TypeError(f'{type(obj)} is unsupported for json dump') | |
| class JsonHandler(BaseFileHandler): | |
| def load_from_fileobj(self, file): | |
| return json.load(file) | |
| def dump_to_fileobj(self, obj, file, **kwargs): | |
| kwargs.setdefault('default', set_default) | |
| json.dump(obj, file, **kwargs) | |
| def dump_to_str(self, obj, **kwargs): | |
| kwargs.setdefault('default', set_default) | |
| return json.dumps(obj, **kwargs) | |