code: def testUniformIsInRange(self, dtype):
      if dtype == dtypes.bfloat16 and not test_util.is_gpu_available(
          cuda_only=True, min_cuda_compute_capability=(8, 0)
      ):
          self.skipTest("Bfloat16 requires compute capability 8.0")
      minval = 2
      maxval = 33
      size = 1000
      gen = random.Generator.from_seed(1234)
      x = gen.uniform(
          shape=[size], dtype=dtype, minval=minval, maxval=maxval
      ).numpy()
      self.assertTrue(np.all(x >= minval))
      self.assertTrue(np.all(x < maxval))
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  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 gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_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 test
label_desc: Use image node_id 27 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testUniformIsInRange(dtype) without return types