class_docstr: Test cases for stateful random-number generator operators.
class_docstr_tok: ["Test","cases","for","stateful","random-number","generator","operators","."]
code: def testUniformIsNotConstant(self, alg, dtype):
      self.check_dtype(dtype)
      with ops.device(xla_device_name()):
          gen = random.Generator.from_seed(seed=1234, alg=alg)
  
          def rng(dtype):
              maxval = dtype.max
              return gen.uniform(shape=[2], dtype=dtype, maxval=maxval)
  
          self._testRngIsNotConstant(rng, dtype)
  
imports: import itertools
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.client import device_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  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 gen_stateful_random_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testUniformIsNotConstant(alg, dtype) and returns: gen