class_docstr: Test cases for random-number generating operators.
code: def _random_types(self):
      return (
          set(self.numeric_types)
          - set(self.complex_types)
          - {np.uint64, np.int64, np.uint8, np.int8}
      )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the RandomOpsTest obj's underlying member method code with example usage: obj._random_types() and returns: unknown