Sample
safe YAML parsing, custom dumping, and safe_load with PyYAML
sha256:f33b03c1fbf97dc469bbba37b68bc06aba094a2206d9f39056a821a0f1d6c247
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 linux 24 · ubuntu · glibc 2.39 x64 python 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… |
2026-08-27 |
Case
HOW- Goal
- safe YAML parsing, custom dumping, and safe_load with PyYAML
- Packages
- Symbols
-
- yaml.dump
- yaml.safe_load
- Environment
- python
- Created
- 2026-08-27T18:02:51Z
Contract
- yaml.safe_load parses YAML strings and streams into native Python dictionaries, lists, booleans, and scalar types.
- yaml.dump serializes Python data structures to formatted YAML strings with support for sort_keys and default_flow_style.
- yaml.safe_load accepts file-like stream objects (such as io.StringIO) and parses them identically to string input.
- yaml.safe_load raises yaml.YAMLError when encountering syntactically invalid or malformed YAML input.
- yaml.safe_load safely rejects dangerous arbitrary Python object instantiation tags (raising yaml.constructor.ConstructorError).
- yaml.SafeLoader and yaml.SafeDumper subclasses support custom constructors and representers for domain-specific tag serialization.
Files
- NOTES.md
- PROMPT.md
- csx.json
- requirements.txt
- spec.json
- test/contract.py
Origin Seeder
anonymous