def accuracy_sum()

in detector/train.py [0:0]

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

def accuracy_sum(logits, labels):
    if list(logits.shape) == list(labels.shape) + [2]:
        # 2-d outputs
        classification = (logits[..., 0] < logits[..., 1]).long().flatten()
    else:
        classification = (logits > 0).long().flatten()
    assert classification.shape == labels.shape
    return (classification == labels).float().sum().item()