Editor: Improve revisions diff pairing performance#77126
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Editor: Improve revisions diff pairing performance#77126
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Replace the O(n*m) diffWords-based similarity check in pairSimilarBlocks with an O(n) word-set overlap (Jaccard index). This eliminates the main performance bottleneck when sliding through revisions. Additionally: - Strip HTML tags before similarity comparison so markup doesn't inflate scores for short blocks - Directly pair 1:1 removed/added blocks of the same type without similarity check (no ambiguity) - Raise similarity threshold from 0.3 to 0.5 to prevent pairing unrelated paragraphs that share common words Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Size Change: +184 B (0%) Total Size: 7.74 MB 📦 View Changed
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Replace regex-based word splitting with Intl.Segmenter for proper multilingual support (CJK, Thai, etc). Remove HTML tag stripping since Intl.Segmenter's isWordLike filter naturally handles tags. Add a test for pairing blocks with similar content (fox jumps/leaps). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Flaky tests detected in ae4278b. 🔍 Workflow run URL: https://github.com/WordPress/gutenberg/actions/runs/24125702268
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What?
Improve the performance of the revisions diff pairing algorithm (
pairSimilarBlocks) in the editor.Why?
The
textSimilarityfunction useddiffWords(O(n*m) per pair) to score every candidate pair of removed/added blocks. For posts with many paragraphs of the same type, this created an R×A matrix of expensive calls — the main source of jank when sliding through revisions.How?
diffWords-based similarity with O(n) word-set overlap (Jaccard index), stripping HTML tags before comparisonThe new similarity produces identical pairing decisions for real-world content (verified across 24 revision pairs), while being ~67x faster in benchmarks on an 8×8 paragraph matrix.
Testing Instructions
npm run test:unit -- --testPathPattern="post-revisions-preview/test/block-diff"Testing Instructions for Keyboard
Use of AI Tools
This PR was authored with Claude Code (Claude Opus 4.6). All code was reviewed and tested manually.
🤖 Generated with Claude Code