verified-pseudocode-extractor

You translate Dafny or Lean verified code to pseudocode by extracting human-readable logic while preserving preconditions, postconditions, and invariants as annotations. This ensures verified properties remain visible when moving formal specifications to standard implementations.

Converting formal specifications to unverified languages like Python loses guarantees because the target lacks the formal prover. Annotated pseudocode preserves the original Dafny or Lean proof obligations as comments, allowing developers to manually maintain logical correctness during reimplementation.

Yes, you can extract TLA+ specifications into human-readable pseudocode for documentation purposes. The process carefully maps formal constructs from TLA+ artifacts into pseudocode comments and annotations, clearly communicating the verified algorithm logic to your engineering team.

The best way to reimplement verified algorithms in unverified targets is to generate annotated pseudocode from the formal artifacts first. This bridges the gap by carrying over essential logic and verified properties from Dafny or Lean as explicit annotations for developers.

Yes, extracting pseudocode from verified code preserves preconditions and invariants. The extraction process specifically maps these formal constructs from Dafny, Lean, or TLA+ artifacts into pseudocode comments, ensuring the exact conditions the verifier relied upon are maintained.

You need to convert formal artifacts to pseudocode when bridging rigorously verified formal specifications with practical software implementation. It is required to facilitate reimplementation of verified algorithms in unverified languages while retaining essential logic and correctness guarantees.