Performance (ported from Linearr): - rapidfuzz C extension for Levenshtein (20-50x faster when available) - Pure Python early termination fallback via threshold parameter - Normalization cache: precompute_normalizations() avoids redundant normalize_name() calls - fuzzy_match() and find_best_match() use cached results - ETA updated from 7.73s to 0.1s per item UI simplification: - Profile Name: free text → dynamic dropdown from database - Match Sensitivity: number 0-100 → named presets (Relaxed/Normal/Strict/Exact) - Tag Handling: 4 booleans → single dropdown (Strip All/Keep Regional/Keep All) - Channel Database: per-country booleans → single dropdown - All changes backward compatible with legacy field IDs Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
58 lines
569 B
Plaintext
58 lines
569 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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ENV/
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env/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Testing
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.pytest_cache/
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.coverage
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htmlcov/
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# Data files (cache)
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/data/
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*.log
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# AI/Tool config
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.claude/
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.serena/
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GEMINI.md
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# Local session files
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*.zip
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*.txt
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C--Users-btoll-claude-dispatcharr-Stream-Mapparr/
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docs/superpowers/
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