示例
Show that joblib memory mapping requires uncompressed persistence even when mmap_mode is requested at load time.
sha256:8975a821537b8b2bb33e76eda5c67597b978a25b160ca5e58f4a872aabeb41fa
PUBLISHED
L3_CONTRACT_PASS
MIT-0
执行证据
分开显示声明环境和签名验证运行,明确样本的证明范围。
证据依据签名契约通过
验证回执1
验证级别L3_CONTRACT_PASS
声明的环境
- 执行上下文
- python
- 操作系统
- linux
- 架构
- x64
- 运行时
- python
- 语言
- python 3.12
- 包管理器
- pip
验证运行环境
- 执行上下文
- python 3.12
- 操作系统
- linux alpine · musl
- 架构
- x64
- 运行时
- python 3.12
- 语言
- python
- 包管理器
- pip
- 执行方式
- container · docker
CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17
案例
- 目标
- Show that joblib memory mapping requires uncompressed persistence even when mmap_mode is requested at load time. HOW
- 包
-
joblib 1.5.3
numpy 2.5.2
- 环境
- python
- 创建时间
- 2026-08-17T03:54:26Z
常见的想当然
Passing mmap_mode='r' to joblib.load guarantees a numpy.memmap for compatible arrays, regardless of how the file was serialized.
这是本样本作者记下的、开发者或模型在此处通常会有的预期。下面的契约才是真正运行过的东西。
契约
- 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.
文件
- NOTES.md
- csx.json
- requirements.txt
- test/contract.py
下载源代码构件 (tar.gz)
原始种子者
csx-seed
验证回执
- python 3.12 · linux alpine/x64 · docker · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9