Comments (5)
dumblob
commented on August 25, 2024
Any ideas? Does blosc2 do much better on this front (I'm assuming Python bindings which I didn't try yet)?
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FrancescAlted
commented on August 25, 2024
Yeah, this kind of wild variations in compression ratio for small buffers is expected. Blosc is actually meant towards compressing large datasets, so priority in optimizing such small buffers is very low. Blosc2 is even more slanted towards large data, so the same should apply.
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dumblob
commented on August 25, 2024
Ah, thanks. That clarifies it a lot.
Any concrete suggestions how to approach compression of short inputs?
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FrancescAlted
commented on August 25, 2024
Sorry, but no ideas. You will have to do your own research.
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dumblob
commented on August 25, 2024
Ok, thanks anyway. Most important for me is that Blosc2 does not plan to tackle this type of issue.
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Related Issues (20)
- Issues decompressing bytes from files HOT 1
- Replace obsolete `popen2` HOT 1
- Properly identify vendored `cpuinfo.py` version
- Blosc_ROOT cmake warning: Policy CMP0074 is not set HOT 2
- "RuntimeError: Cannot decompress" for a compressed sequence of more than 7240 zero bytes HOT 1
- “python_requires” should be set with “>=3.6”, as blosc 1.10.6 is not compatible with all Python versions. HOT 2
- wrong setuptools build command
- Concatenate two blosc compressed bytes objects HOT 2
- LICENSES/BLOSC.txt HOT 4
- Rename default branch HOT 1
- Update pypi with latest blosc version HOT 3
- Wheel for Python 3.10 and Python 3.11 HOT 3
- Cannot install blosc 1.11.0 on apple M1 machine HOT 3
- decompress in fore-end HOT 1
- README link to python-blosc2 seems useful HOT 1
- __pack_tensor__ must be made portable and not depend on Python HOT 2
- __pack_tensor__ should be in the beginning of the file to avoid seeking the whole file HOT 2
- Python 3.12 compatibility HOT 6
- Numpy 2 compatibility
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