feat: add chess position fingerprinting (16,384-bit VSA encoding)#116
Merged
Conversation
- Add chess module with FEN parser (ChessPosition) and fingerprint encoder (ChessFingerprint) for mapping chess positions to 16,384-bit fingerprints - Bit layout: raw bitboards (768), pawn structure (256), king safety (256), material signature (256), metadata in reserved word - Encode pawn structure features: doubled, isolated, and passed pawns - Encode king safety: pawn shield and castling rights - Add RESONATE operation for k-NN similarity search by Hamming distance - Add as_raw_mut() to Fingerprint for direct word-level writes https://claude.ai/code/session_01AFUWiMg4kXHr9JRS8JtbGY
|
You have reached your Codex usage limits for code reviews. You can see your limits in the Codex usage dashboard. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
https://claude.ai/code/session_01AFUWiMg4kXHr9JRS8JtbGY