code: def get_score_ks_fast(
      n_alpha: np.ndarray, no_records: np.ndarray, alpha: np.ndarray
  ) -> np.ndarray:
      """
      KolmarovSmirnov
  
      :param n_alpha: Number of records less than alpha.
      :param no_records: Number of records.
      :param alpha: Alpha threshold.
      :return: Score.
      """
      score = np.zeros(alpha.shape[0])
      inds = n_alpha > no_records * alpha
      score[inds] = np.true_divide(
          n_alpha[inds] - no_records[inds] * alpha[inds],
          np.sqrt(no_records[inds]),
      )
      return score
  
imports: import numpy
label_desc: Use image node_id 3 for calling the ScoringFunctions obj's underlying member method code with example usage: obj.get_score_ks_fast(n_alpha, no_records, alpha) and returns: score