code: def constructDists(self, loc, scale, low, high, validate_args=True):
      tf_dist = truncated_normal.TruncatedNormal(
          loc=loc,
          scale=scale,
          low=low,
          high=high,
          validate_args=validate_args,
      )
      sp_dist = scipy_trunc_norm_dist(loc, scale, low, high)
      return tf_dist, sp_dist
  
imports: import itertools
  import unittest
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import truncated_normal
  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 TruncatedNormalTestCompareWithScipy obj's underlying member method code with example usage: obj.constructDists(loc, scale, low, high, validate_args) and returns: tf_dist,  sp_dist