codec: add adversarial coverage for optional codec edge paths

[bbopen]

Summary

• add adversarial fixture functions for optional codec edge cases in torch/scipy/sklearn
• add guarded adversarial tests that only run when each optional dependency is available
• assert explicit bridge-side error messages for:
  • non-contiguous torch tensors when TYWRAP_TORCH_ALLOW_COPY=0
  • scipy sparse matrices with complex dtype
  • sklearn estimators with non-JSON-serializable params

Testing

• npx eslint test/adversarial_playground.test.ts
• npm run typecheck
• TYWRAP_ADVERSARIAL=1 npm test -- test/adversarial_playground.test.ts -t "non-contiguous tensors"
• TYWRAP_ADVERSARIAL=1 npm test -- test/adversarial_playground.test.ts -t "complex sparse"
• TYWRAP_ADVERSARIAL=1 npm test -- test/adversarial_playground.test.ts -t "sklearn non-serializable"

Closes #48

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📥 Commits

Reviewing files that changed from the base of the PR and between b6c3065 and 9cf989e.

📒 Files selected for processing (2)

• test/adversarial_playground.test.ts
• test/fixtures/python/adversarial_module.py

✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch codex/48-adversarial-optional-codec-edge-cases

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[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Verify optional modules by importing them

The dependency guard uses importlib.util.find_spec(...), which only checks whether a module is discoverable on disk, not whether it can actually be imported. In environments where optional deps are partially installed or have missing native libraries (common for torch/scipy wheels), find_spec returns success, the test runs, and then the fixture raises a fallback "... is not available" error that fails these assertions. Switching this probe to an actual import <module> check would keep these tests correctly skipped when the dependency is present but unusable.

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