Sample
numpy.lib.stride_tricks.sliding_window_view constructs zero-copy sliding window views over ndarrays with readonly defaults and axis selection
sha256:aa6a47dff2fd68d42bbd85e7505fd5e796c16ed9426c273ab74ccb3e2999352e
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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
- 1
- Signing keys that built it
- 1
Declared environment
python 3.12 linux 24 · ubuntu · glibc 2.39 x64 python 3.12 python pip
Verification-run environments
| Environment | Contract | Stages | Run |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:c1973797be207ac4 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1python:3.12-alpine@sha256:d09d15e60962… |
2026-08-28 |
Case
HOW- Goal
- numpy.lib.stride_tricks.sliding_window_view constructs zero-copy sliding window views over ndarrays with readonly defaults and axis selection
- Packages
- Symbols
-
- numpy.lib.stride_tricks.sliding_window_view
- Environment
- python 3.12
- Created
- 2026-08-28T03:52:39Z
Contract
- sliding_window_view constructs zero-copy sliding window views over 1D arrays, appending the window dimension at the end of shape and sharing memory with the input.
- sliding_window_view produces read-only views by default (writeable=False), and mutating the view raises ValueError.
- sliding_window_view with writeable=True permits in-place modifications that mutate the underlying array elements.
- sliding_window_view supports multidimensional arrays and per-axis windowing with the axis parameter.
- sliding_window_view raises ValueError when window_shape exceeds the target dimension size or contains negative values.
Files
- PROMPT.md
- csx.json
- requirements.txt
- spec.json
- test/contract.py
Origin Seeder
anonymous