code: def _generate_boilerplate_param(self):
      temperature = np.array([1.0, 2.0, 4.0, 10.0])
      low = np.array(len(temperature) * [1.0])
      peak = np.array(len(temperature) * [7.0])
      high = np.array(len(temperature) * [10.0])
      a = 1.0 + temperature * (peak - low) / (high - low)
      b = 1.0 + temperature * (high - peak) / (high - low)
      return temperature, low, peak, high, a, b
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import pert
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the PERTTest obj's underlying member method code with example usage: obj._generate_boilerplate_param() and returns: temperature,  low,  peak,  high,  a,  b