zea.data.utils¶
Utility functions for zea datasets.
Functions
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Decode file info from a json string. |
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Used to serialize objects that contain range and slice objects. |
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Used to deserialize objects that contain range and slice objects. |
Classes
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Wrapper for json.dumps to encode range and slice objects. |
- class zea.data.utils.ZeaJSONEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)[source]¶
Bases:
JSONEncoder
Wrapper for json.dumps to encode range and slice objects.
Example
>>> import json >>> from zea.data.utils import ZeaJSONEncoder >>> json.dumps(range(10), cls=ZeaJSONEncoder) '{"__type__": "range", "start": 0, "stop": 10, "step": 1}'
Note
Probably you would use the zea.data.dataloader.json_dumps() function instead of using this class directly.
- default(o)[source]¶
Implement this method in a subclass such that it returns a serializable object for
o
, or calls the base implementation (to raise aTypeError
).For example, to support arbitrary iterators, you could implement default like this:
def default(self, o): try: iterable = iter(o) except TypeError: pass else: return list(iterable) # Let the base class default method raise the TypeError return super().default(o)
- zea.data.utils.decode_file_info(file_info)[source]¶
Decode file info from a json string. A batch of H5Generator can return a list of file_info that are json strings. This function decodes the json strings and returns a list of dictionaries with the information, namely: - full_path: full path to the file - file_name: file name - indices: indices used to extract the image from the file