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 testSeed(self):
      for dt in dtypes.float16, dtypes.float32, dtypes.float64:
          sx = self._Sampler(
              1000, counts=10.0, probs=0.4, dtype=dt, seed=345
          )
          sy = self._Sampler(
              1000, counts=10.0, probs=0.4, dtype=dt, seed=345
          )
          self.assertAllEqual(self.evaluate(sx()), self.evaluate(sy()))
  
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 3 for calling the RandomBinomialTest obj's underlying member method code with example usage: obj.testSeed() without return types