class_docstr: Normal Distribution
  ----
  This class contains methods relating to the normal distribution for time series.
docstr: Wrapper function for selecting appropriate score
  
  Parameters
  ----------
  x : float
      A random variable
  
  index : int
      0 or 1 depending on which latent variable
  
  Returns
  ----------
  The gradient of the scale latent variable at x
docstr_tok: ["Wrapper","function","for","selecting","appropriate","score","Parameters","--","--","--","--","--","x",":","float","A","random","variable","index",":","int","0","or","1","depending","on","which","latent","variable","Returns","--","--","--","--","--","The","gradient","of","the","scale","latent","variable","at","x"]
code: def vi_score(self, x, index):
      """Wrapper function for selecting appropriate score
  
      Parameters
      ----------
      x : float
          A random variable
  
      index : int
          0 or 1 depending on which latent variable
  
      Returns
      ----------
      The gradient of the scale latent variable at x
      """
      if index == 0:
          return self.vi_loc_score(x)
      elif index == 1:
          return self.vi_scale_score(x)
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .gas_recursions import gas_recursion_normal_orderone, gas_recursion_normal_ordertwo
  from .gas_recursions import gasx_recursion_normal_orderone, gasx_recursion_normal_ordertwo
  from .gas_recursions import gas_llev_recursion_normal_orderone, gas_llev_recursion_normal_ordertwo
  from .gas_recursions import gas_llt_recursion_normal_orderone, gas_llt_recursion_normal_ordertwo
  from .gas_recursions import gas_reg_recursion_normal_orderone, gas_reg_recursion_normal_ordertwo
label_desc: Use image node_id 19 for calling the Normal obj's underlying member method code with example usage: obj.vi_score(x, index) and returns: self, self