code: def testUniformShape(self):
      a = constant_op.constant([-3.0] * 5)
      b = constant_op.constant(11.0)
      uniform = uniform_lib.Uniform(low=a, high=b)
  
      self.assertEqual(
          self.evaluate(uniform.batch_shape_tensor()), (5,)
      )
      self.assertEqual(
          uniform.batch_shape, tensor_shape.TensorShape([5])
      )
      self.assertAllEqual(
          self.evaluate(uniform.event_shape_tensor()), []
      )
      self.assertEqual(
          uniform.event_shape, tensor_shape.TensorShape([])
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import uniform
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformShape() without return types