code: def deriv3_inverse(self, phi, theta):
      th = theta  # shorthand
      d3 = -(
          (1 + th) * (1 + 2 * th) / th**3 * (1 + phi) ** (-1 / th - 3)
      )
      return d3
  
imports: import warnings
  import numpy
  from scipy.special import expm1, gamma
label_desc: Use image node_id 8 for calling the TransfClayton obj's underlying member method code with example usage: obj.deriv3_inverse(phi, theta) and returns: d3