code: def testUniformFloat64(self):
      dist = uniform.Uniform(
          low=np.float64(0.0), high=np.float64(1.0), validate_args=True
      )
  
      self.assertAllClose(
          [1.0, 1.0],
          self.evaluate(
              dist.prob(np.array([0.5, 0.6], dtype=np.float64))
          ),
      )
  
      self.assertAllClose(
          [0.5, 0.6],
          self.evaluate(
              dist.cdf(np.array([0.5, 0.6], dtype=np.float64))
          ),
      )
  
      self.assertAllClose(0.5, self.evaluate(dist.mean()))
      self.assertAllClose(1 / 12.0, self.evaluate(dist.variance()))
      self.assertAllClose(0.0, self.evaluate(dist.entropy()))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 19 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformFloat64() without return types