code: def assertAllLessEqual(self, a, b):
      comparison = a <= b
      all_true = np.ones_like(comparison, dtype=np.bool_)
      self.assertAllEqual(comparison, all_true)
  
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 3 for calling the _TruncatedNormalTestCase obj's underlying member method code with example usage: obj.assertAllLessEqual(a, b) without return types