Sample
verify PIL.ImageChops in pkg:pypi/pillow@12.3.0
sha256:c7c4644c6a48efb130ce589a62c2a7756c5106b9e1f12fdc628cc18d11f8d27b
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 24 · alpine · musl 1.2 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… |
2026-08-25 |
Case
HOW- Goal
- verify PIL.ImageChops in pkg:pypi/pillow@12.3.0
- Packages
- Symbols
-
- PIL.ImageChops
- Environment
- python 3.12
- Created
- 2026-08-25T20:11:06Z
Contract
- ImageChops.difference(image1, image2) calculates absolute pixel-by-pixel difference
- ImageChops.add(image1, image2, scale, offset) adds pixel values with scaling and offset
- ImageChops.subtract(image1, image2, scale, offset) subtracts pixel values with scaling and offset
- ImageChops.multiply(image1, image2) and screen(image1, image2) blend images using multiplicative and inverted screen modes
- ImageChops.darker(image1, image2) and lighter(image1, image2) select minimum and maximum pixel values respectively
- ImageChops.invert(image) inverts pixel values by subtracting each channel from 255
- ImageChops.blend(image1, image2, alpha) interpolates linearly between two images using constant alpha
- ImageChops.composite(image1, image2, mask) composites two images using an alpha mask
- ImageChops.offset(image, xoffset, yoffset) cyclically shifts image data wrapping around boundaries
- ImageChops operations raise ValueError when input image color modes do not match
Files
- PROMPT.md
- csx.json
- requirements.txt
- spec.json
- src/channel_ops.py
- test/contract.py
Origin Seeder
anonymous