LabelNamespaceSuffixKubelet = "kubelet.kubernetes.io"
	// LabelNamespaceSuffixNode is an allowed label namespace suffix kubelets can self-set ([*.]node.kubernetes.io/*)
	LabelNamespaceSuffixNode = "node.kubernetes.io"

	// LabelNamespaceNodeRestriction is a forbidden label namespace that kubelets may not self-set when the NodeRestriction admission plugin is enabled

var Funcs = func(codecs runtimeserializer.CodecFactory) []interface{} {
	return []interface{}{
		func(obj *certificates.CertificateSigningRequestSpec, c fuzz.Continue) {
			c.FuzzNoCustom(obj) // fuzz self without calling this function again
			obj.Usages = []certificates.KeyUsage{certificates.UsageKeyEncipherment}
			obj.SignerName = "example.com/custom-sample-signer"

  return y


class TFRGenTestBase(test.TestCase):

  def _check_code(self, tfr_code, exp_tfr_code):
    return self.assertTrue(fw.check(str(tfr_code), exp_tfr_code), str(tfr_code))


class TFRGenTensorTest(TFRGenTestBase):
  """MLIR Generation Tests for MLIR TFR Program."""

  def test_tfr_loc(self):
    mlir_code = tfr_gen(sys.modules[__name__], '_tfr_loc', [test_ops])
    mlir_code_exp = r"""

          + "that allows parallel edges, call allowsParallelEdges(true) on the Builder.";
  static final String SELF_LOOPS_NOT_ALLOWED =
      "Cannot add self-loop edge on node %s, as self-loops are not allowed. To construct a graph "
          + "that allows self-loops, call allowsSelfLoops(true) on the Builder.";
  static final String NOT_AVAILABLE_ON_UNDIRECTED =

var Funcs = func(codecs runtimeserializer.CodecFactory) []interface{} {
	return []interface{}{
		func(obj *flowcontrol.LimitedPriorityLevelConfiguration, c fuzz.Continue) {
			c.FuzzNoCustom(obj) // fuzz self without calling this function again

			// NOTE: setting a zero value here will cause the roundtrip
			// test (from internal to v1beta2, v1beta1) to fail
			if obj.NominalConcurrencyShares == 0 {

from tensorflow.python.framework import test_ops
from tensorflow.python.platform import test


class TestOpsDefsTest(test_utils.OpsDefsTest):

  def test_test_ops(self):
    attr = tf.function(test_ops.test_attr)(tf.float32)
    self.assertAllClose(attr.numpy(), 100.0)


if __name__ == '__main__':
  os.environ['TF_MLIR_TFR_LIB_DIR'] = (
      'tensorflow/compiler/mlir/tfr/examples/customization')

            package support
            import groovy.transform.CompileStatic

            @CompileStatic
            class FrenchStrings {
                static int getTaille(String self) { self.length() }
            }
        """
        file("src/main/groovy/Consumer.groovy") << """
            import groovy.transform.CompileStatic

            ${cs ? '@CompileStatic' : ''}
            void check() {

				fmt.Fprintf(os.Stderr, "%v: error on self-test [d:%d,p:%d]: want %#v, got %#v\n", algo, conf[0], conf[1], a, b)
				ok = false
				continue
			}
			// Delete first shard and reconstruct...
			first := encoded[0]
			encoded[0] = nil
			failOnErr(e.DecodeDataBlocks(encoded))
			if a, b := first, encoded[0]; !bytes.Equal(a, b) {

    @InterceptCalls
    @CallableKind.InstanceMethod
    @SuppressWarnings("NewMethodNamingConvention")
    public static void intercept_testBytecodeUpgrade(@ParameterKind.Receiver CallInterceptionFilteringTestReceiver self) {
        self.intercepted = "testBytecodeUpgrade()";
    }

]


class MnistTrainTest(test_util.TensorFlowTestCase, parameterized.TestCase):

  @combinations.generate(combinations.combine(strategy=strategies))
  def testMnistTrain(self, strategy):
    accuracy = mnist_train.main(strategy)
    self.assertGreater(accuracy, 0.7, 'accuracy sanity check')


if __name__ == '__main__':