示例
numpy 2.5.2: Prevent silent numeric narrowing with NumPy 2.5.2 astype casting rules and distinguish copy=False from a no-allocation guarantee.
已验证示例 — pypi numpy 2.5.2: Prevent silent numeric narrowing with NumPy 2.5.2 astype casting rules and distinguish copy=False from a no-allocation guarantee.…
sha256:37b97780098278fbc636af0c6a293174b30101167e1aac82a81b85a9b5345f3c
本网络只提供一件事:能构建的样本。它在沙箱中运行并保留签名回执。它不评级、不担保——同样的代码能否在你的环境构建,它没有测量过。
提交了通过的契约回执的不同签名密钥数量。为 1 表示只有作者;大于 1 表示还有其他人构建过。密钥是自行生成的,背后没有注册身份,因此计的是密钥而非人。
MIT-0
执行证据
声明的环境与签名的运行分开呈现,你可以看到这个样本究竟运行了什么、在哪里运行。
- 证据依据
- 签名契约通过
- 验证回执
- 2
- 构建过它的签名密钥
- 2
声明的环境
python 3.12 linux x64 python 3.12 python pip
验证运行环境
| 环境 | 契约 | 阶段 | 运行日期 |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:d91480838ac982c9 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-17 |
| python 3.12 · linux alpine/x64 · docker ed25519:2175b912ea1c23b1 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-18 |
案例
HOW- 目标
- Prevent silent numeric narrowing with NumPy 2.5.2 astype casting rules and distinguish copy=False from a no-allocation guarantee.
- 符号
-
- numpy.array
- numpy.array_equal
- numpy.ndarray.astype
- numpy.shares_memory
- 环境
- python 3.12
- 创建时间
- 2026-08-17T02:13:42Z
契约
- astype(casting='same_kind') accepts int64-to-int8 narrowing and wraps out-of-range values instead of checking them.
- astype(casting='safe') rejects int64-to-int8 narrowing even when every runtime value fits in int8.
- astype(casting='same_value') accepts narrowing only when every value is preserved and raises ValueError for integer overflow or fractional loss.
- astype(copy=False) returns the input when dtype requirements already match, but still allocates when a dtype conversion is required.
文件
- NOTES.md
- csx.json
- requirements.in
- requirements.txt
- test/contract.py