Models/exprsynth/nagdecoder.py [1009:1015]:
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                normalizer_map = np.arange(num_choices, dtype=np.int16)
                for (token_idx, token) in enumerate(literal_choices):
                    first_occ = first_tok_occurrences.get(token)
                    if first_occ is not None:
                        normalizer_map[token_idx] = first_occ
                    else:
                        first_tok_occurrences[token] = token_idx
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Models/exprsynth/nagdecoder.py [1596:1602]:
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                normalizer_map = np.arange(num_choices, dtype=np.int16)
                for (token_idx, token) in enumerate(literal_choices):
                    first_occ = first_tok_occurrences.get(token)
                    if first_occ is not None:
                        normalizer_map[token_idx] = first_occ
                    else:
                        first_tok_occurrences[token] = token_idx
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