def convert_examples_to_features()

in code/source/bert_preprocessing.py [0:0]

• 16 lines of code
• 2 McCabe index (conditional complexity)

def convert_examples_to_features(tokenizer, examples, tag2int, max_seq_length=256):
    """
    Convert a set of `InputExample`s to a list of `InputFeatures`.
    :return: numpy arrays
    """

    input_ids, input_masks, segment_ids, labels = [], [], [], []
    for example in examples:
        input_id, input_mask, segment_id, label = convert_single_example(
            tokenizer, example, tag2int, max_seq_length
        )
        input_ids.append(input_id)
        input_masks.append(input_mask)
        segment_ids.append(segment_id)
        labels.append(label)
    return (
        np.array(input_ids),
        np.array(input_masks),
        np.array(segment_ids),
        np.array(labels),
    )