Blosc / Blosc/python-blosc2

ZSTD compresion with dictionary causes odd errors

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Lingua principale
Python
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211
Fork
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Merge medio
1g 17h
PR unite (30g)
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Descrizione

When activating the "use_dict" flag in an SChunk instance, storing data leads to errors.

The following code does not execute on my system:

```
import blosc2
import numpy as np

CHUNKSIZE = int(2**12)
NCHUNKS = 5

coptions = blosc2.cparams_dflts.copy()
coptions["codec"] = blosc2.Codec.ZSTD # this is already the default
coptions["use_dict"] = 1

_rng = np.random.default_rng()

def _make_data() -> bytes:
return _rng.random(CHUNKSIZE // 4, dtype=np.float32).tobytes()

data = [_make_data() for x in range(NCHUNKS)]

storage = blosc2.SChunk(
chunksize=CHUNKSIZE, cparams=coptions, dparams=blosc2.dparams_dflts
)

for x in data:
storage.append_data(x)

for index, x in enumerate(data):
assert storage.decompress_chunk(index) == x
```

Instead, it leads to the following `RuntimeError`:

```
Traceback (most recent call last):
File "/home/user/minimal_bug.py", line 26, in
storage.append_data(x)
File "/home/user/env/lib/python3.9/site-packages/blosc2/schunk.py", line 298, in append_data
return super(SChunk, self).append_data(data)
File "blosc2_ext.pyx", line 1105, in blosc2.blosc2_ext.SChunk.append_data
RuntimeError: Could not append the buffer
```

If the above code is run with `coptions["use_dict"] = 0`, it executes successfully.

Do specific flags need to be set for shared dictionary compression to be successful, or does the sizing of stored data have different requirements?

python-blosc2 version: `blosc2==2.3.2`
python version: `3.9.18`
platform: arch linux, conda based python install

Guida per i contributori

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Direzione di ricerca

Reproduce the provided minimal script with python-blosc2 2.3.2 and inspect SChunk.append_data in schunk.py together with the blosc2_ext.pyx traceback path. Determine why use_dict=1 rejects these chunks, then verify that appending all five buffers and decompressing each one succeeds with the dictionary enabled.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
python
Ambito
data
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
28/100

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