def _compute_f1()

in drop_eval.py [0:0]

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

def _compute_f1(predicted_bag: Set[str], gold_bag: Set[str]) -> float:
    intersection = len(gold_bag.intersection(predicted_bag))
    if not predicted_bag:
        precision = 1.0
    else:
        precision = intersection / float(len(predicted_bag))
    if not gold_bag:
        recall = 1.0
    else:
        recall = intersection / float(len(gold_bag))
    f1 = (
        (2 * precision * recall) / (precision + recall)
        if not (precision == 0.0 and recall == 0.0)
        else 0.0
    ) * 100
    return f1