class_docstr: Test cases for stateful random-number generator operators.
class_docstr_tok: ["Test","cases","for","stateful","random-number","generator","operators","."]
docstr: Use Anderson-Darling test to test distribution appears normal.
docstr_tok: ["Use","Anderson-Darling","test","to","test","distribution","appears","normal","."]
code: def testDistributionOfNormal(self, alg, dtype):
      """Use Anderson-Darling test to test distribution appears normal."""
      self.check_dtype(dtype)
      with ops.device(xla_device_name()):
          n = 1000
          gen = random.Generator.from_seed(seed=1234, alg=alg)
          x = gen.normal(shape=[n], dtype=dtype).numpy()
          # The constant 2.492 is the 5% critical value for the Anderson-Darling
          # test where the mean and variance are known. This test is probabilistic
          # so to avoid flakiness the seed is fixed.
          self.assertLess(
              random_test_util.anderson_darling(x.astype(float)), 2.492
          )
  
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 15 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testDistributionOfNormal(alg, dtype) without return types