code: def apply_prior(self, c):
      n = np.sum(c)
      prior_scale = np.sum(c) * self.alpha * 1.0 / np.sum(self.prior)
      return c + (self.prior * prior_scale)
  
imports: from abc import ABC, abstractmethod
  import numpy
  import pandas
  from scipy.stats import norm, rankdata
  from scattertext.Common import DEFAULT_SCALER_ALGO, DEFAULT_BETA
label_desc: Use image node_id 3 for calling the ScaledFZScorePrior obj's underlying member method code with example usage: obj.apply_prior(c) and returns: unknown