Source code for credsweeper.ml_model.features.word_in_value

import numpy as np

from credsweeper.credentials.candidate import Candidate
from credsweeper.ml_model.features.word_in import WordIn




class WordInValue(WordIn):
    """Feature returns true if candidate value contains at least one word from predefined list."""



    def extract(self, candidate: Candidate) -> np.ndarray:
        """Returns array of matching words for first line"""
        if value := candidate.line_data_list[0].value:
            return self.word_in_(value.lower())
        return np.array([self.zero])