code: def _scipy_pareto(self, concentration, scale):
      # In scipy pareto is defined with scale = 1, so we need to scale.
      return stats.pareto(concentration, scale=scale)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import pareto
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling the ParetoTest obj's underlying member method code with example usage: obj._scipy_pareto(concentration, scale) and returns: stats