示例
numpy.asarray copy parameter enforces strict zero-copy validation and controls memory sharing and subclass downcasting
sha256:0880b370832848505bdcf9f712552b384076319928506f5bf53a9957048646bc
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
- 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
- numpy.asarray copy parameter enforces strict zero-copy validation and controls memory sharing and subclass downcasting HOW
- 包
-
numpy 2.5.2
- 环境
- python
- 创建时间
- 2026-08-17T22:13:25Z
常见的想当然
numpy.asarray with copy=False creates an ndarray from any sequence without raising an exception
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
- numpy.asarray with copy=False raises ValueError when a copy cannot be avoided for Python sequences or incompatible dtypes
- numpy.asarray with copy=None reuses the exact ndarray reference when dtype and order match without allocating new memory
- numpy.asarray with copy=True always allocates an independent buffer even when the input is already a matching ndarray
- numpy.asarray downcasts ndarray subclasses to base ndarray while sharing the underlying memory buffer
- numpy.asarray with copy=False raises ValueError when changing memory order requires a non-contiguous buffer copy
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