Architecture and contribution guide for SpaceSafeML MVP

Overview
- Language: Python
- Core layout (src/spacesafeml_certification_benchmark_and_):
  - __init__.py
  - dsl.py             (# DSL data models for safety contracts)
  - verification.py    (# Verification engine and certificate generation)
  - simulation/         (# Simulation templates and HIL scaffolding)
  - governance/ledger.py  (# Tamper-evident ledger for test attestations)
  - adapters/           (# Starter adapters for planner and perception modules)

Workflow
- Tests: pytest-based tests run via test.sh in repo root
- Build: python -m build and packaging metadata validated by test.sh
- Docs: README and AGENTS.md describe architecture and contribution rules

Tech stack
- Python 3.8+
- Lightweight verification (model-checker heuristic) and property-based testing scaffold
- Simple deterministic simulation scaffolds for fleet scenarios
- Tamper-evident ledger using hash chaining

Testing commands
- Run tests: bash test.sh
- Run Python build: python3 -m build
- Run unit tests only: pytest -q

Coding guidelines
- Keep modules small and well-scoped
- Prefer minimal, well-documented interfaces
- Add tests with each feature, ensure green before publishing
- Do not alter license or packaging metadata without explicit approval

Contribution rules
- Open PRs should include updated tests and a brief changelog-like summary
- All code must pass tests locally