Comments (1)
I think when I originally created this, it was about offloading the encoding/decoding itself to another thread or process, and making an async interface.
I'm not sure that's worthwhile, for the reasons mentioned.
However, it would be easy to create an async wrapper for the file reading and writing, on Python versions that support it. That might be useful.
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Related Issues (20)
- Please a __version__ variable to __init__.py HOT 9
- Tests fail assert 'ExceptionInfo' without code changes HOT 1
- JSON tricks cannot dump nan and infinity HOT 2
- Decode fail for numpy arrays with dtype=object HOT 1
- dump returns a byte value, is this normal? HOT 4
- Can't load a dumped object of class scipy.optimize.OptimizeResult HOT 6
- Serializing NaN HOT 2
- Pandas ix is deprecated since pd.__version__ > 1.0 HOT 1
- Use compressed numpy format by default in compressed mode (next major release) HOT 1
- Make `ignore_comments` not default (next major release) HOT 2
- Bug: Numpy Array with shape (0,N) not decoded correctly. HOT 1
- Allow `cls=None` in `dump`, `dumps`, `load` and `loads` HOT 2
- TypeError in Python 3.9 due to removal of encoding kwarg from json.loads HOT 5
- Add support for encoding/decoding bytestrings HOT 4
- attrs class instances that use __weakref__ cannot be decoded HOT 3
- Test failures on s390x (big endian) architecture HOT 4
- Idea/Discussion - Applying a similar technique to dictionaries and their keys? HOT 2
- Test failures on s390x (big endian) architecture with 3.17.1
- Ambiguous timezone info in datetime HOT 2
- Compressed numpy arrays are decoded as writeable=False
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