code: def getValueForX(
      self, dist, a, b, params, z_prior, x, return_probs=False
  ):
      u_1, u_2, l_1, l_2 = params
      z_0, z_1 = 1 - z_prior, z_prior
  
      pos = np.ones(len(x))
      prob_1_1 = self.prob(dist, np.c_[x, pos, pos])
      prob_m1_1 = self.prob(dist, np.c_[x, -pos, pos])
      prob_1_0 = self.prob(dist, np.c_[x, pos, np.zeros(len(x))])
      prob_m1_0 = self.prob(dist, np.c_[x, -pos, np.zeros(len(x))])
  
      total = prob_1_1 + prob_1_0 + prob_m1_0 + prob_m1_1
      # if total == 0:
      #     return 0
  
      prob_y_1 = (prob_1_1 + prob_1_0) / total
      prob_z_0 = (prob_m1_0 + prob_1_0) / total
      prob_z_1 = (prob_m1_1 + prob_1_1) / total
  
      probc_m1_0 = prob_m1_0 / total
      probc_m1_1 = prob_m1_1 / total
  
      c_0 = prob_y_1 - 0.5
      c_1 = u_1 * (probc_m1_0 - a * prob_z_0) + u_2 * (
          probc_m1_1 - a * prob_z_1
      )
      c_2 = l_1 * (-probc_m1_0 + b * prob_z_0) + l_2 * (
          -probc_m1_1 + b * prob_z_1
      )
  
      t = c_0 + c_1 + c_2
      if return_probs:
          return t, probc_m1_0, probc_m1_1, prob_z_0, prob_z_1
      return t
  
file_path: AIF360/aif360/algorithms/inprocessing/celisMeta/FalseDiscovery.py
imports: import numpy
  from aif360.algorithms.inprocessing.celisMeta.General import General
label_desc: Use image node_id 2 for calling the FalseDiscovery obj's underlying member method code with example usage: obj.getValueForX(dist, a, b, params, z_prior, x, return_probs) and returns: t, t,  probc_m1_0,  probc_m1_1,  prob_z_0,  prob_z_1