def apply_repetition_penalty(logits: mx.array, generated_tokens: Any, penalty: float):
    """
    Apply repetition penalty to specific logits based on the given context.

    Paper: https://arxiv.org/abs/1909.05858

    Args:
        logits (mx.array): The logits produced by the language model.
        generated_tokens (any): A list of N previous tokens.
        penalty (float): The repetition penalty factor to be applied.

    Returns:
        logits (mx.array): Logits with repetition penalty applied to generated tokens.

    """
    if len(generated_tokens) > 0:
        indices = mx.array([list(generated_tokens)])
        selected_logits = logits[:, indices]
        selected_logits = mx.where(
            selected_logits < 0, selected_logits * penalty, selected_logits / penalty
        )
        logits[:, indices] = selected_logits
    return logits

    Apply repetition penalty to specific logits based on the given context.

    Paper: https://arxiv.org/abs/1909.05858

    Args:
        logits (mx.array): The logits produced by the language model.
        generated_tokens (any): A list of N previous tokens.
        penalty (float): The repetition penalty factor to be applied.

    Returns:
        logits (mx.array): Logits with repetition penalty applied to generated tokens.

    
llama-index-integrations/llms/llama-index-llms-mlx/llama_index/llms/mlx/utils.py