code: def testUniformFloat64(self):
      uniform = uniform_lib.Uniform(
          low=np.float64(0.0), high=np.float64(1.0)
      )
  
      self.assertAllClose(
          [1.0, 1.0],
          self.evaluate(
              uniform.prob(np.array([0.5, 0.6], dtype=np.float64))
          ),
      )
  
      self.assertAllClose(
          [0.5, 0.6],
          self.evaluate(
              uniform.cdf(np.array([0.5, 0.6], dtype=np.float64))
          ),
      )
  
      self.assertAllClose(0.5, self.evaluate(uniform.mean()))
      self.assertAllClose(1 / 12.0, self.evaluate(uniform.variance()))
      self.assertAllClose(0.0, self.evaluate(uniform.entropy()))
  
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 18 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformFloat64() without return types