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abort find_alignment on empty input
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@ -170,6 +170,9 @@ def find_alignment(
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medfilt_width: int = 7,
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qk_scale: float = 1.0,
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) -> List[WordTiming]:
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if len(text_tokens) == 0:
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return []
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tokens = torch.tensor(
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[
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*tokenizer.sot_sequence,
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