code: def testSeed(self):
      for dt in get_float_types() + [dtypes.int32, dtypes.int64]:
          for seed in [345, 2**100, -(2**100)]:
              sx = self._Sampler(
                  1000, 0, 17, dtype=dt, use_gpu=True, seed=seed
              )
              sy = self._Sampler(
                  1000, 0, 17, dtype=dt, use_gpu=True, seed=seed
              )
              self.assertAllEqual(sx(), sy())
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the RandomUniformTest obj's underlying member method code with example usage: obj.testSeed() without return types