def hans_convert_examples_to_features(
    examples: List[InputExample],
    label_list: List[str],
    max_length: int,
    tokenizer: PreTrainedTokenizer,
):
    """
    Loads a data file into a list of ``InputFeatures``

    Args:
        examples: List of ``InputExamples`` containing the examples.
        label_list: List of labels. Can be obtained from the processor using the ``processor.get_labels()`` method.
        max_length: Maximum example length.
        tokenizer: Instance of a tokenizer that will tokenize the examples.

    Returns:
        A list of task-specific ``InputFeatures`` which can be fed to the model.

    """

    label_map = {label: i for i, label in enumerate(label_list)}

    features = []
    for ex_index, example in tqdm.tqdm(enumerate(examples), desc="convert examples to features"):
        if ex_index % 10000 == 0:
            logger.info("Writing example %d" % (ex_index))

        inputs = tokenizer(
            example.text_a,
            example.text_b,
            add_special_tokens=True,
            max_length=max_length,
            padding="max_length",
            truncation=True,
            return_overflowing_tokens=True,
        )

        label = label_map[example.label] if example.label in label_map else 0

        pairID = int(example.pairID)

        features.append(InputFeatures(**inputs, label=label, pairID=pairID))

    for i, example in enumerate(examples[:5]):
        logger.info("*** Example ***")
        logger.info(f"guid: {example}")
        logger.info(f"features: {features[i]}")

    return features

    Loads a data file into a list of ``InputFeatures``

    Args:
        examples: List of ``InputExamples`` containing the examples.
        label_list: List of labels. Can be obtained from the processor using the ``processor.get_labels()`` method.
        max_length: Maximum example length.
        tokenizer: Instance of a tokenizer that will tokenize the examples.

    Returns:
        A list of task-specific ``InputFeatures`` which can be fed to the model.

    
dpkd/transformers/examples/research_projects/adversarial/utils_hans.py