def convert_examples_to_features()

in bert_layer.py [0:0]

• 17 lines of code
• 3 McCabe index (conditional complexity)

def convert_examples_to_features(tokenizer, examples, max_seq_length=256):
    """Convert a set of `InputExample`s to a list of `InputFeatures`."""
    input_ids, input_masks, segment_ids, labels = [], [], [], []
    # for example in tqdm(examples, desc="Converting examples to features"):
    for example in examples:
        input_id, input_mask, segment_id, label = convert_single_example(
            tokenizer, example, max_seq_length
        )
        input_ids.append(input_id)
        input_masks.append(input_mask)
        segment_ids.append(segment_id)
        labels.append(label)
    assert len(examples) == len(labels)
    return (
        np.array(input_ids),
        np.array(input_masks),
        np.array(segment_ids),
        np.array(labels).reshape(-1, 1),
    )