old_contents: import numpy as np
  
  # TODO I could not locate this function used anywhere in the code base
  # do we need it?
  def eval_univariate(f,var, idx, point, x):
      """
      Evaluate a function as a at a specific point and only varying values at one index.
  
      Useful for debugging misspecified likelihoods.
      
      Parameters
      ----------
  
      f : function : dict -> val 
      var : variable 
      idx : index into variable 
      point : point at which to center
      x : array points at which to evaluate x
      
      """
      bij = DictToVarBijection(var, idx, point) 
      return map(bij.mapf(f), x)
      
  
new_contents: import numpy as np
  from blocking import * 
  
  # TODO I could not locate this function used anywhere in the code base
  # do we need it?
  def eval_univariate(f,var, idx, point, x):
      """
      Evaluate a function as a at a specific point and only varying values at one index.
  
      Useful for debugging misspecified likelihoods.
      
      Parameters
      ----------
  
      f : function : dict -> val 
      var : variable 
      idx : index into variable 
      point : point at which to center
      x : array points at which to evaluate x
      
      """
      bij = DictToVarBijection(var, idx, point) 
      return map(bij.mapf(f), x)
      
  
subject: make sure to import blocking