code: def testUniformVariance(self):
      a = 10.0
      b = 100.0
      uniform = uniform_lib.Uniform(low=a, high=b)
      if not stats:
          return
      s_uniform = stats.uniform(loc=a, scale=b - a)
      self.assertAllClose(
          self.evaluate(uniform.variance()), s_uniform.var()
      )
  
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 11 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformVariance() without return types