def pack_replabels(tokens, dictionary, max_reps):
    """
    Pack a token sequence so that repeated symbols are replaced by replabels
    """
    if len(tokens) == 0 or max_reps <= 0:
        return tokens

    replabel_value_to_idx = [0] * (max_reps + 1)
    for i in range(1, max_reps + 1):
        replabel_value_to_idx[i] = dictionary.index(replabel_symbol(i))

    result = []
    prev_token = -1
    num_reps = 0
    for token in tokens:
        if token == prev_token and num_reps < max_reps:
            num_reps += 1
        else:
            if num_reps > 0:
                result.append(replabel_value_to_idx[num_reps])
                num_reps = 0
            result.append(token)
            prev_token = token
    if num_reps > 0:
        result.append(replabel_value_to_idx[num_reps])
    return result

    Pack a token sequence so that repeated symbols are replaced by replabels
    
structured_prompting/fairseq-version/fairseq/examples/speech_recognition/data/replabels.py