tensorflow_similarity/indexer.py [301:310]:
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        lookups = []
        for i in range(len(nn_embeddings)):
            # ! casting is needed to avoid slowness down the line
            lookups.append(Lookup(
                rank=i + 1,
                embedding=nn_embeddings[i],
                distance=float(distances[i]),
                label=self._cast_label(labels[i]),
                data=data[i]
                ))
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tensorflow_similarity/indexer.py [352:361]:
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            lookups = []
            for i in range(len(nn_embeddings)):
                # ! casting is needed to avoid slowness down the line
                lookups.append(Lookup(
                    rank=i + 1,
                    embedding=nn_embeddings[i],
                    distance=float(distances[i]),
                    label=self._cast_label(labels[i]),
                    data=data[i]
                ))
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