def has_answers()

in dpr_scale/eval_dpr.py [0:0]

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

def has_answers(text, answers, tokenizer, regex=False):
    text = _normalize(text)
    if regex:
        for ans in answers:
            ans = _normalize(ans)
            if regex_match(text, ans):
                return True
    else:
        text = tokenizer.tokenize(text).words(uncased=True)
        for ans in answers:
            ans = _normalize(ans)
            ans = tokenizer.tokenize(ans).words(uncased=True)
            for i in range(0, len(text) - len(ans) + 1):
                if ans == text[i: i + len(ans)]:
                    return True
    return False