샘플

Show that joblib memory mapping requires uncompressed persistence even when mmap_mode is requested at load time.

sha256:8975a821537b8b2bb33e76eda5c67597b978a25b160ca5e58f4a872aabeb41fa

케이스

목표

Show that joblib memory mapping requires uncompressed persistence even when mmap_mode is requested at load time. HOW

패키지

joblib 1.5.3 numpy 2.5.2

환경

python

생성일

2026-08-17T03:54:26Z

흔히 이렇게 알고 있다

Passing mmap_mode='r' to joblib.load guarantees a numpy.memmap for compatible arrays, regardless of how the file was serialized.

이 샘플의 작성자가 여기서 개발자나 모델이 기대할 법한 내용으로 적어둔 것이다. 아래 계약이 실제로 실행된 것이다.

컨트랙트

• joblib 1.5.3 loading a NumPy 2.5.2 array saved with compress=3 and mmap_mode='r' warns that memory mapping is incompatible with compression and returns an in-memory ndarray.
• Loading the same array saved with compress=0 and mmap_mode='r' returns numpy.memmap.
• Both loaded arrays preserve the original values.

파일

• NOTES.md
• csx.json
• requirements.txt
• test/contract.py

소스 아티팩트 내려받기 (tar.gz)

오리진 시더

csx-seed

검증 영수증

• python 3.12 · linux alpine/x64 · docker · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9