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fix(enrichment): rank the canonical studio take over live/comp versions
A flat MusicBrainz /recording text search ties every take of a song at the same score, so "AC/DC — Highway to Hell" returns a wall of live bootlegs and compilations with the 1979 studio version buried (or below the fetch limit). - build_recording_query: drop live-ONLY recordings (`-secondarytype:Live`). Compilations are deliberately kept — they REUSE the studio recording, so filtering them cuts the very recording we want (verified against MB). - _best_release / parse_recording_doc: pick the canonical studio album (primary Album, no Live/Compilation/Remix/... secondary type) for the displayed album/year, and expose a `studio` flag. - rank_candidates: since the combined score caps at 1.0 (perfect text match ties), break ties on the studio flag and — when the caller knows the audio length — on duration proximity, so the studio take wins over live/extended cuts. The studio distinction is intentionally NOT scored (a live take is still the right SONG), only re-ordered. - /api/enrichment/search: accept an optional `duration` param so a caller that has the audio but no library row (the editor's create modal) can pass the master-track length for the duration tiebreak. Verified end-to-end against live MusicBrainz: AC/DC "Highway to Hell" now returns the 1979 studio recording at #1 with the correct album + year. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Opus 4.8
parent
b6169af6aa
commit
fc52d1f9d2
+57
-10
@@ -39,6 +39,14 @@ DURATION_BONUS_LOOSE = 0.025 # …within 15s
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_DURATION_TIGHT = 5
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_DURATION_LOOSE = 15
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# Release-group secondary types that mark a NON-canonical release (a live album,
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# a greatest-hits comp, a remix/DJ set, …). Used both to pick the canonical
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# studio album for display and to reward studio recordings in ranking.
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_SECONDARY_SKIP = {
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"live", "compilation", "remix", "dj-mix", "mixtape/street",
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"demo", "interview", "audiobook", "spokenword",
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}
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# ── Denoise ───────────────────────────────────────────────────────────────────
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# A parenthetical/bracketed group is dropped when it contains any of these
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# noise terms as a whole word (chart-variant markers, tuning/pitch notes,
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@@ -154,6 +162,10 @@ def score_candidate(song: dict, cand: dict) -> float:
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score += DURATION_BONUS
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elif diff <= _DURATION_LOOSE:
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score += DURATION_BONUS_LOOSE
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# NB: the studio-vs-live distinction is deliberately NOT scored here — a live
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# take is still the RIGHT SONG (same title/artist), so it must not change the
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# auto/review confidence. Canonical-version preference lives in the RANK sort
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# (rank_candidates) instead, where it only reorders same-song candidates.
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return min(score, 1.0)
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@@ -179,15 +191,29 @@ def classify(song: dict, cand: dict, score: float, auto_min: float | None = None
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def rank_candidates(song: dict, candidates: list[dict]) -> list[dict]:
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"""Score every candidate against the song and return them sorted by our
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score (MusicBrainz's own search score is only a tiebreak). Each returned
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dict is a copy carrying `score` (rounded — it's displayed and stored)."""
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"""Score every candidate against the song and return them sorted best-first.
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The combined `score` caps at 1.0, so a perfect-text-match query (every "AC/DC
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Highway to Hell" recording) ties at the top — there the studio flag and, when
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the caller knows the audio length, the duration match break the tie so the
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canonical studio take wins over live/promo/extended cuts. Each returned dict
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is a copy carrying `score` (rounded — it's displayed and stored)."""
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sd = _duration_int(song.get("duration"))
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def _dur_diff(c):
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cd = _duration_int(c.get("duration"))
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return abs(sd - cd) if (sd and cd) else 10 ** 6
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ranked = []
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for cand in candidates or []:
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c = dict(cand)
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c["score"] = round(score_candidate(song, cand), 4)
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ranked.append(c)
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ranked.sort(key=lambda c: (c["score"], c.get("mb_score") or 0), reverse=True)
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ranked.sort(
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key=lambda c: (c["score"],
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1 if c.get("studio") else 0, # canonical studio take
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-_dur_diff(c), # closest to the audio length
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c.get("mb_score") or 0),
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reverse=True)
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return ranked
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@@ -209,7 +235,16 @@ def build_recording_query(artist, title) -> str:
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parts.append('recording:"%s"' % _lucene_escape_phrase(t))
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if a:
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parts.append('artist:"%s"' % _lucene_escape_phrase(a))
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return " AND ".join(parts)
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q = " AND ".join(parts)
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# Drop live-ONLY recordings (bootlegs, live albums) — the canonical studio
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# take is never tagged Live, and this is the single biggest source of junk in
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# a flat recording search. Compilations are deliberately NOT excluded: they
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# REUSE the studio recording, so filtering them would drop the very recording
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# we want (verified against MusicBrainz — `-secondarytype:Compilation` cut the
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# AC/DC studio "Highway to Hell" recording entirely).
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if q:
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q += " AND -secondarytype:Live"
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return q
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def _artist_credit(doc: dict) -> tuple[str, str, str]:
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@@ -226,19 +261,29 @@ def _artist_credit(doc: dict) -> tuple[str, str, str]:
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return name, str(artist.get("id", "") or ""), str(artist.get("sort-name", "") or "")
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def _is_clean_studio_album(rg: dict) -> bool:
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"""A release-group that is a primary-type Album with NO non-canonical
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secondary type (Live / Compilation / Remix / …) — i.e. a studio album."""
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if str(rg.get("primary-type", "")).lower() != "album":
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return False
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secs = {str(s).lower() for s in (rg.get("secondary-types") or [])}
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return not (secs & _SECONDARY_SKIP)
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def _best_release(doc: dict) -> dict:
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"""Pick the release used for canon album/year: prefer Official status and
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an Album release-group, then the earliest date. Returns {} if none."""
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"""Pick the release used for canon album/year: prefer an OFFICIAL studio
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Album (primary Album with no Live/Compilation/… secondary type), then the
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earliest date. Falls back to any release when none is clean. {} if none."""
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releases = [r for r in (doc.get("releases") or []) if isinstance(r, dict)]
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if not releases:
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return {}
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def sort_key(r):
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status_ok = 0 if str(r.get("status", "")).lower() == "official" else 1
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rg = r.get("release-group") or {}
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album_ok = 0 if str(rg.get("primary-type", "")).lower() == "album" else 1
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clean = 0 if _is_clean_studio_album(rg) else 1
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status_ok = 0 if str(r.get("status", "")).lower() == "official" else 1
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date = str(r.get("date", "") or "9999")
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return (status_ok, album_ok, date)
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return (clean, status_ok, date)
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return sorted(releases, key=sort_key)[0]
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@@ -261,6 +306,7 @@ def parse_recording_doc(doc: dict) -> dict | None:
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return None
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artist_name, artist_id, artist_sort = _artist_credit(doc)
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release = _best_release(doc)
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studio = _is_clean_studio_album(release.get("release-group") or {})
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length = doc.get("length")
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try:
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duration = int(round(float(length) / 1000.0)) if length else None
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@@ -281,6 +327,7 @@ def parse_recording_doc(doc: dict) -> dict | None:
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"isrc": isrcs[0] if isrcs else "",
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"genres": _genres(doc),
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"mb_score": int(doc.get("score") or 0),
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"studio": studio,
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}
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@@ -6235,8 +6235,11 @@ def _mb_http_get(path: str, params: dict) -> dict | None:
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raise EnrichTransportError("bad JSON from musicbrainz") from e
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def _mb_search_recordings(artist, title, limit: int = 8) -> list[dict]:
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"""Text search (tier 2–4): denoised Lucene query over /recording."""
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def _mb_search_recordings(artist, title, limit: int = 12) -> list[dict]:
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"""Text search (tier 2–4): denoised Lucene query over /recording. The query
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now drops live-only recordings and our ranker rewards the studio take, so a
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slightly larger default result set gives the re-ranker room to surface the
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canonical version (one request per song regardless of limit)."""
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query = mb_match.build_recording_query(artist, title)
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if not query:
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return []
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@@ -7413,13 +7416,16 @@ def api_enrichment_pick(filename: str, data: dict = Body(...)):
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@app.get("/api/enrichment/search")
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def api_enrichment_search(artist: str = "", title: str = "", limit: int = 8,
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filename: str = ""):
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filename: str = "", duration: float = 0.0):
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"""Manual-search proxy to MusicBrainz (throttled + identified like the
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background matcher — a user typing in the drawer must not sidestep the
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rate limit). `filename` optionally scores results against that song's
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stored identity (year/duration corroboration) instead of just the typed
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text. Sync route on purpose: FastAPI runs it in the threadpool, so the
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throttle's sleep never blocks the event loop."""
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text. `duration` (seconds) lets a caller that HAS the audio but no library
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row — e.g. the editor's create modal, which holds the master track — pass
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its length so the studio take ranks above live/extended cuts. Sync route on
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purpose: FastAPI runs it in the threadpool, so the throttle's sleep never
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blocks the event loop."""
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if not (artist.strip() or title.strip()):
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raise HTTPException(status_code=400, detail="artist or title required")
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limit = max(1, min(int(limit), 25))
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@@ -7433,6 +7439,10 @@ def api_enrichment_search(artist: str = "", title: str = "", limit: int = 8,
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ref = meta_db.enrichment_song_row(filename)
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if ref is None:
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ref = {"artist": artist, "title": title}
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# A caller-supplied duration corroborates the take even without a library row.
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if duration and duration > 0 and not ref.get("duration"):
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ref = dict(ref)
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ref["duration"] = duration
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return {"candidates": mb_match.rank_candidates(ref, cands)}
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@@ -149,7 +149,9 @@ def test_rank_candidates_orders_by_our_score():
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def test_build_recording_query_denoises_and_quotes():
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q = m.build_recording_query("ACDC", 'Thunderstruck (v2)')
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assert q == 'recording:"thunderstruck" AND artist:"acdc"'
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# Live-only recordings are excluded — the studio take is never tagged Live,
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# and it's the biggest source of junk in a flat recording search.
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assert q == 'recording:"thunderstruck" AND artist:"acdc" AND -secondarytype:Live'
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def test_build_recording_query_escapes_and_handles_missing_artist():
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