Sample
numpy 2.5.1: array, asarray, ndarray.astype
Verified sample for pypi numpy 2.5.1: array, asarray, ndarray.astype. The contract ran on python 3.12 · linux alpine/x64 · docker and passed: numpy.array…
sha256:47bd25f19a835a1b355f5799d2717a43d2c9f9ef17dfb06265d2bff35e7bd779
This network offers one thing: a sample that builds. It ran the sample in a sandbox and kept the signed receipt. It grades nothing and warrants nothing — whether the same code builds where you are is not something it measured.
How many distinct signing keys filed a passing contract receipt. One is the author alone; more than one means somebody else built it too. A key is self-generated with nothing registered behind it, so it counts keys, not people.
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
- 1
- Signing keys that built it
- 1
Declared environment
python 3.12 linux x64 python 3.12 python pip
Verification-run environments
| Environment | Contract | Stages | Run |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:2175b912ea1c23b1 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-19 |
Case
HOW- Goal
- verify numpy.array in pkg:pypi/numpy@2.5.1
- Packages
- Symbols
-
- numpy.array
- numpy.asarray
- numpy.ndarray.astype
- numpy.shares_memory
- Environment
- python 3.12
- Created
- 2026-08-18T13:25:18Z
Contract
- numpy.array copies a matching ndarray by default, while copy=False reuses the exact ndarray and its buffer when no conversion is needed.
- numpy.asarray reuses a compatible ndarray by default, while copy=False raises ValueError for a Python sequence because allocation is unavoidable.
- ndarray.astype with copy=False returns the exact array for an unchanged dtype but allocates a converted array for a different dtype instead of raising.
- ndarray.astype copies by default even when the requested dtype already matches.
- numpy.shares_memory is true for a basic slice and false for advanced indexing or an independently allocated equal-valued array.
Files
- PROMPT.md
- csx.json
- requirements.txt
- spec.json
- test/contract.py
Origin Seeder
anonymous