jedarden 6aabfa0c96 feat(pdftract-q15sh): implement v1 fingerprint algorithm ... Implement Merkle SHA-256 fingerprint algorithm for PDF structural fingerprinting as specified in Phase 1.7 of the plan. Components: - FingerprintInput struct with page data and catalog flags - Per-page hashing: content streams (normalized), resources (sorted), geometry (4dp banker's rounding) - Structure tree hash for tagged PDFs - Catalog feature flag byte (encryption, JS, XFA, OCG) Acceptance criteria: - INV-3: 100% reproducible fingerprints (test passes) - INV-13: Output format ^pdftract-v1:[0-9a-f]{64}$ (test passes) - Performance: 100-page PDF in < 1ms (test passes) - KU-7: WARN - no linearized fixtures available Closes pdftract-q15sh Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>		2026-05-18 01:02:30 -04:00
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src	feat(pdftract-q15sh): implement v1 fingerprint algorithm	2026-05-18 01:02:30 -04:00
Cargo.toml	feat(pdftract-q15sh): implement v1 fingerprint algorithm	2026-05-18 01:02:30 -04:00