class_docstr: This is a large test due to the moments computation taking some time.
class_docstr_tok: ["This","is","a","large","test","due","to","the","moments","computation","taking","some","time","."]
code: def testStateless(self):
      for dt in dtypes.float16, dtypes.float32, dtypes.float64:
          sx = stateless_random_ops.stateless_random_binomial(
              shape=[1000],
              seed=[12, 34],
              counts=10.0,
              probs=0.4,
              output_dtype=dt,
          )
          sy = stateless_random_ops.stateless_random_binomial(
              shape=[1000],
              seed=[12, 34],
              counts=10.0,
              probs=0.4,
              output_dtype=dt,
          )
          sx0, sx1 = self.evaluate(sx), self.evaluate(sx)
          sy0, sy1 = self.evaluate(sy), self.evaluate(sy)
          self.assertAllEqual(sx0, sx1)
          self.assertAllEqual(sx0, sy0)
          self.assertAllEqual(sy0, sy1)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  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 stateful_random_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the RandomBinomialTest obj's underlying member method code with example usage: obj.testStateless() without return types