Comments (1)
You could try corrupting a compressed buffer. I.e., create some compressed bytes via encode(), then remove some leading or trailing bytes then try to decode().
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Related Issues (20)
- Cannot import LZ4 HOT 6
- 0.12.1: pep517 based build fails HOT 1
- 0.12.1: numcodecs/tests is part of the installable resources HOT 5
- 0.12.1: pytest fails HOT 2
- FixedScaleOffset for handling NaN inputs HOT 1
- VLenUTF8().encode(buffer) fails is buffer is read-only HOT 9
- Blosc throws floating point exception when encoding NumPy array with zero-itemsize dtype
- Improving the `PackBits` filter for multidimensional arrays
- Encoding and Decoding Compound Arrays Does not work with JSON Encoder/Decoder HOT 2
- NumPy 2.0 support HOT 8
- Using multiprocessing.set_start_method() after importing numcodecs results in an exception
- Release 0.12.2? HOT 11
- 0.12.1: `cannot import name 'MsgPack' from 'numcodecs'` in numcodecs/__init__.py HOT 3
- numcodecs failing to build on OSX
- Fast Huffman encode/decode
- Add support for numpy 2.0 HOT 1
- image compressed by zarr, when reread, raise ValueError: codec not available:"imagecodecs_jpegxl" HOT 4
- FixedScaleOffset cannot be combined with BitRound to reduce quantization errors as expected
- classmethod properties are removed in Python 3.13
- Multiprocessing start_method does not work after import HOT 2
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