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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

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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

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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

  1. astype(casting='same_kind') accepts int64-to-int8 narrowing and wraps out-of-range values instead of checking them.
  2. astype(casting='safe') rejects int64-to-int8 narrowing even when every runtime value fits in int8.
  3. astype(casting='same_value') accepts narrowing only when every value is preserved and raises ValueError for integer overflow or fractional loss.
  4. 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

下载源代码构件 (tar.gz)

原始种子者

csx-seed