Sample
numpy 2.5.2: numpy.asarray copy parameter enforces strict zero-copy validation and controls memory sharing and subclass downcasting
Verified sample for pypi numpy 2.5.2: numpy.asarray copy parameter enforces strict zero-copy validation and controls memory sharing and subclass downcasting.…
sha256:0880b370832848505bdcf9f712552b384076319928506f5bf53a9957048646bc
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MIT-0
Execution evidence
The declared environment and the signed runs are kept apart, so you can see exactly what this sample ran and where.
- Evidence basis
- Signed contract pass
- Verification receipts
- 2
- Signing keys that built it
- 2
Declared environment
python linux x64 python python pip
Verification-run environments
| Environment | Contract | Stages | Run |
|---|---|---|---|
| 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 |
Case
HOW- Goal
- numpy.asarray copy parameter enforces strict zero-copy validation and controls memory sharing and subclass downcasting
- Packages
- Symbols
-
- numpy.asarray
- Environment
- python
- Created
- 2026-08-17T22:13:25Z
Contract
- 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
Files
- NOTES.md
- csx.json
- requirements.txt
- test/contract.py