v4.0.0rc2 - #111
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VladimirPodolian wants to merge 32 commits into
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…n healing Rename `attribute_weights` to `scoring_weights` and expose `ScoringWeights` class. Instead of picking the single best healed locator, try each candidate in sequence until one matches an element, falling back to the original error only when all candidates are exhausted.
Previously only stored snapshots were normalized, so dynamic data on a live element (CSS-module hashes in `class`, numeric id suffixes, state classes) unfairly penalized its candidates during scoring. Now every DOM candidate is normalized with the same `SnapshotStorage.normalize_snapshot()` rules as the saved reference, so both sides of the comparison are cleaned equally. The raw (non-normalized) candidate is still attached to the `SimilarityBreakdown` as `candidate_snapshot` for diagnostics. Also improved comparators: `class` similarity uses canonical word tokenization (camelCase/kebab/snake/BEM) and text substring matches respect word boundaries with a minimum length, avoiding short-token false positives.
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