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refactor(playlist): G.62 — extract CSV match helpers + import orchestrator (cluster) (#629)
Two-cut cluster on PlaylistDetail.tsx. 1761 → 1400 LOC (−361). The page keeps the same handleImportCsv arrow function (now a thin guard + delegate), but the matching algorithm and the CSV import pipeline live in their own modules. spotifyCsvMatch — six pure helpers: normalizeForMatching, cleanTrackTitle (the 100-LOC suffix-regex array), levenshtein, similarityScore, calculateDynamicThreshold, processBatch. All exports. No state, no side effects, no React deps. runPlaylistCsvImport — full Spotify CSV import pipeline: openDialog + readTextFile, parseSpotifyCsv parse step, batched search with 2-attempt retry, dynamic-threshold scored matching with ISRC fast path, dedupe against existing + already-queued, savePlaylist commit, auto-show report modal on issues, toast variant by outcome (success / warning / error). Takes a deps object with songs / t / savePlaylist + setSongs / setCsvImporting / setCsvImportReport setters. PlaylistDetail keeps the `if (!id || csvImporting) return;` guard on the caller side; id is no longer needed inside the runner (savePlaylist captures it). PlaylistDetail drops three direct imports (search, openDialog, readTextFile, parseSpotifyCsv) and picks up runPlaylistCsvImport. search comes back as a top-level import because the search-add overlay useEffect on the same page still hits the Subsonic search endpoint directly. SpotifyCsvTrack stays as a type-only import for the csvImportReport state shape. Pure code move otherwise — no behaviour change.
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// Normalize strings for matching: remove accents, special chars, lowercase, trim
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export function normalizeForMatching(s: string): string {
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return s.toLowerCase()
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.normalize('NFD')
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.replace(/[̀-ͯ]/g, '')
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.replace(/[ø]/gi, 'o')
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.replace(/[æ]/gi, 'ae')
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.trim();
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}
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// Clean common title suffixes (remastered, live, editions, etc.)
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export function cleanTrackTitle(title: string): string {
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const suffixes = [
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// Remastered variants
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/\s*-\s*remasterizado$/i,
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/\s*-\s*remaster$/i,
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/\s*-\s*remastered$/i,
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/\s*\(remasterizado\)$/i,
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/\s*\(remaster\)$/i,
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/\s*\(remastered\)$/i,
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/\s*\[remasterizado\]$/i,
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/\s*\[remaster\]$/i,
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/\s*\[remastered\]$/i,
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/\s*-\s*remasterizado\s+\d{4}$/i,
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/\s*-\s*remastered\s+\d{4}$/i,
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/\s*\(\d{4}\s+remaster\)$/i,
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/\s*\(\d{4}\s+remastered\)$/i,
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// Live variants
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/\s*-\s*en vivo$/i,
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/\s*-\s*live$/i,
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/\s*-\s*version en vivo$/i,
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/\s*-\s*studio version$/i,
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/\s*-\s*version de estudio$/i,
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/\s*\(en vivo\)$/i,
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/\s*\(live\)$/i,
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/\s*\(live .*\)$/i,
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/\s*\[en vivo\]$/i,
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/\s*\[live\]$/i,
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/\s*\[live .*\]$/i,
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/\s*-\s*live at.*$/i,
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/\s*\(live at.*\)$/i,
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// Version/Edition variants
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/\s*-\s*version$/i,
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/\s*-\s*versión$/i,
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/\s*\(version\)$/i,
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/\s*\(versión\)$/i,
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/\s*\[version\]$/i,
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/\s*\[versión\]$/i,
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/\s*-\s*album version$/i,
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/\s*\(album version\)$/i,
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/\s*\[album version\]$/i,
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// Radio/Edit variants
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/\s*-\s*radio edit$/i,
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/\s*-\s*radio version$/i,
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/\s*\(radio edit\)$/i,
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/\s*\(radio version\)$/i,
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/\s*\[radio edit\]$/i,
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/\s*\[radio version\]$/i,
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/\s*-\s*edit$/i,
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/\s*\(edit\)$/i,
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/\s*\[edit\]$/i,
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// Acoustic/Instrumental variants
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/\s*-\s*acoustic$/i,
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/\s*-\s*acústico$/i,
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/\s*\(acoustic\)$/i,
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/\s*\(acústico\)$/i,
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/\s*\[acoustic\]$/i,
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/\s*\[acústico\]$/i,
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/\s*-\s*instrumental$/i,
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/\s*\(instrumental\)$/i,
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/\s*\[instrumental\]$/i,
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// Featuring/Feat/Ft/With variants
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/\s*\(feat\.?\s+.*\)$/i,
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/\s*\[feat\.?\s+.*\]$/i,
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/\s*-\s*feat\.?\s+.*$/i,
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/\s*\(featuring\s+.*\)$/i,
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/\s*\[featuring\s+.*\]$/i,
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/\s*\(ft\.?\s+.*\)$/i,
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/\s*\[ft\.?\s+.*\]$/i,
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/\s*-\s*ft\.?\s+.*$/i,
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/\s*\(with\s+.*\)$/i,
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/\s*\[with\s+.*\]$/i,
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/\s*-\s*with\s+.*$/i,
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/\s*ft\.?\s+.*$/i,
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// Explicit/Clean tags
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/\s*\(explicit\)$/i,
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/\s*\[explicit\]$/i,
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/\s*\(clean\)$/i,
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/\s*\[clean\]$/i,
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// Mono/Stereo
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/\s*\(mono\)$/i,
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/\s*\[mono\]$/i,
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/\s*\(stereo\)$/i,
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/\s*\[stereo\]$/i,
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// Deluxe/Special editions
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/\s*-\s*deluxe$/i,
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/\s*\(deluxe\)$/i,
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/\s*\[deluxe\]$/i,
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/\s*-\s*special edition$/i,
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/\s*\(special edition\)$/i,
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/\s*\[special edition\]$/i,
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// Year in parentheses (common in remasters)
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/\s*\(\d{4}\)$/i,
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];
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let cleaned = title.trim();
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// Apply patterns multiple times for nested cases
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for (let i = 0; i < 3; i++) {
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const previous = cleaned;
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for (const regex of suffixes) {
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cleaned = cleaned.replace(regex, '');
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}
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cleaned = cleaned.trim();
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if (previous === cleaned) break; // No more changes
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}
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return cleaned;
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}
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// Levenshtein distance for similarity scoring
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export function levenshtein(a: string, b: string): number {
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const matrix: number[][] = [];
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for (let i = 0; i <= b.length; i++) matrix[i] = [i];
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for (let j = 0; j <= a.length; j++) matrix[0][j] = j;
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for (let i = 1; i <= b.length; i++) {
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for (let j = 1; j <= a.length; j++) {
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matrix[i][j] = b[i - 1] === a[j - 1]
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? matrix[i - 1][j - 1]
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: Math.min(matrix[i - 1][j - 1] + 1, matrix[i][j - 1] + 1, matrix[i - 1][j] + 1);
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}
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}
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return matrix[b.length][a.length];
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}
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export function similarityScore(a: string, b: string): number {
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const maxLen = Math.max(a.length, b.length);
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if (maxLen === 0) return 1;
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// Use normalized strings (without accents) for comparison
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const dist = levenshtein(normalizeForMatching(a), normalizeForMatching(b));
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return 1 - dist / maxLen;
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}
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// Calculate dynamic threshold based on match quality signals
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export function calculateDynamicThreshold(
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bestMatch: { score: number; artistScore: number },
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secondMatch: { score: number } | undefined,
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titleWords: number
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): number {
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const baseThreshold = 0.6; // Minimum acceptable score
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// Bonus if there's a large gap between best and second match (clear winner)
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const gap = secondMatch ? bestMatch.score - secondMatch.score : 0.3;
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const gapBonus = gap > 0.15 ? 0.1 : gap > 0.08 ? 0.05 : 0;
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// Short titles (< 3 words) are more ambiguous, need higher threshold
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// Long titles (> 4 words) are more specific, can use lower threshold
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const lengthBonus = titleWords > 4 ? 0.05 : titleWords < 3 ? -0.05 : 0;
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// Strong artist match gives confidence to accept lower overall score
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const artistBonus = bestMatch.artistScore > 0.85 ? 0.08 : bestMatch.artistScore > 0.7 ? 0.04 : 0;
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// Calculate final threshold, clamp between 0.55 and 0.75
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return Math.max(0.55, Math.min(0.75, baseThreshold - gapBonus - lengthBonus - artistBonus));
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}
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// Process searches in batches to avoid overloading the server
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export async function processBatch<T, R>(
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items: T[],
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batchSize: number,
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processor: (item: T) => Promise<R | null>
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): Promise<(R | null)[]> {
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const results: (R | null)[] = [];
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for (let i = 0; i < items.length; i += batchSize) {
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const batch = items.slice(i, i + batchSize);
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const batchResults = await Promise.all(batch.map(processor));
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results.push(...batchResults);
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}
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return results;
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}
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