code: def testExponentialCDF(self):
      batch_size = 6
      lam = constant_op.constant([2.0] * batch_size)
      lam_v = 2.0
      x = np.array([2.5, 2.5, 4.0, 0.1, 1.0, 2.0], dtype=np.float32)
  
      exponential = exponential_lib.Exponential(rate=lam)
  
      cdf = exponential.cdf(x)
      self.assertEqual(cdf.get_shape(), (6,))
  
      if not stats:
          return
      expected_cdf = stats.expon.cdf(x, scale=1 / lam_v)
      self.assertAllClose(self.evaluate(cdf), expected_cdf)
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import exponential
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling the ExponentialTest obj's underlying member method code with example usage: obj.testExponentialCDF() without return types