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@ -41,6 +41,8 @@ class TrackMatcher:
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for candidate in candidate_tracks:
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normalized_candidate = self._normalize_string(candidate[1])
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if normalized_candidate.strip().lower() == input_track.strip().lower():
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return (candidate, 100.0)
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# Calculate various similarity scores
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exact_score = 1.0 if input_track == normalized_candidate else 0.0
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