class_docstr: This is a large test due to the moments computation taking some time.
code: def testSizeTooLarge(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError), "overflow"
      ):
          rate = constant_op.constant(1.0, shape=(4, 4, 4, 4, 4))
          self.evaluate(
              random_ops.random_poisson(
                  shape=[46902, 51188, 34063, 59195], lam=rate
              )
          )
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 10 for calling the RandomPoissonTest obj's underlying member method code with example usage: obj.testSizeTooLarge() without return types