code: def log_odds_ratio_with_prior_from_counts(
      a: pd.Series, b: pd.Series
  ) -> pd.Series:
      lor = np.log(a / (np.sum(a) - a)) - np.log(b / (np.sum(b) - b))
      lorstd = (
          1.0 / a
          + 1.0 / (np.sum(a) - a)
          + 1.0 / b
          + 1.0 / (np.sum(b) - b)
      )
      log_odds_ratio_with_prior = lor / np.sqrt(lorstd)
      return log_odds_ratio_with_prior
  
file_path: scattertext/scattertext/termscoring/LogOddsRatio.py
imports: import numpy
  import pandas
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
label_desc: Use image node_id 1 for calling a global function with example usage: log_odds_ratio_with_prior_from_counts(a, b) and returns: log_odds_ratio_with_prior