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v1.6.0: Zero-Mock Testing Stabilization & Documentation Hardening

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@docxology docxology released this 15 Apr 22:34
· 4 commits to main since this release
v1.6.0
181acef

Fixed

  • Testing Constraints: Entirely removed dependency on internal hypothesis.internal.conjecture.optimiser arrays mitigating python 3.13 crashes, transitioning to native parameterized fuzzers.
  • HTML Assertion Accuracy: Relaxed legacy test_report_functional strings to mathematically accept dynamic semantic UI tags (<html lang="en"> instead of <html>).

Added

  • Global Documentation Guardrails: Enforced 100% adherence to zero-mock documentation mandates. Provisioned AGENTS.md, README.md, and SPEC.md components natively within transient boundaries (output/, .benchmarks/, scripts/) and defined the master environment SPEC.md at root.
  • Type checker visual dashboards: Baseball-card style model summary PNGs (dark neon theme), validity mosaics, issue distribution charts, and type category pie charts generated in output/5_type_checker_output/visualizations/
  • Resource estimation integration: estimate_file_resources() now delegates to estimation_strategies.py for real FLOPS, memory, and complexity scoring instead of naive heuristics
  • Documentation hub sync: Automated doc/gnn/modules/[00-24].md reconciliation from src/*/AGENTS.md source-of-truth

Changed

  • Zero-Mock Policy Enforcement: Systematically excised all mentions and framework hooks relating to pytest-mock allowing completely isolated functional testing constraints natively.
  • Type checker consolidation: Deleted redundant src/type_checker/checker.py; all logic unified in processor.py (GNNTypeChecker)
  • Test suite alignment: test_type_checker_overall.py rewired to target production processor.py orchestrator (zero-mock)
  • Deprecated marker removed: safe_to_fail marker replaced with standard xfail in pyproject.toml and pytest.ini
  • Default local LLM: Ollama default tag is smollm2:135m-instruct-q4_K_S (llm.defaults.DEFAULT_OLLAMA_MODEL); override with OLLAMA_MODEL or input/config.yaml llm.model.
  • Core dependencies: openai, ollama, python-dotenv, and aiohttp are installed with the base package (LLM step and OpenRouter/Perplexity providers work without uv sync --extra llm).
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