errTooManyAdditionals = errors.New("too many Additionals to pack (>65535)")
	errNonCanonicalName   = errors.New("name is not in canonical format (it must end with a .)")
	errStringTooLong      = errors.New("character string exceeds maximum length (255)")
)

// Internal constants.
const (
	// packStartingCap is the default initial buffer size allocated during
	// packing.
	//

	MaxJobPodFailureBackOff = 10 * time.Minute
	// MaxUncountedPods is the maximum size the slices in
	// .status.uncountedTerminatedPods should have to keep their representation
	// roughly below 20 KB. Exported for tests
	MaxUncountedPods = 500
	// MaxPodCreateDeletePerSync is the maximum number of pods that can be
	// created or deleted in a single sync call. Exported for tests.

    default_cc_opt_flags = '/arch:AVX'
  else:
    # On all other platforms, no longer use `-march=native` as this can result
    # in instructions that are too modern being generated. Users that want
    # maximum performance should compile TF in their environment and can pass
    # `-march=native` there.
    # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
    default_cc_opt_flags = '-Wno-sign-compare'

	    Allow parallel execution of test functions that call t.Parallel, and
	    fuzz targets that call t.Parallel when running the seed corpus.
	    The value of this flag is the maximum number of tests to run
	    simultaneously.
	    While fuzzing, the value of this flag is the maximum number of
	    subprocesses that may call the fuzz function simultaneously, regardless of
	    whether T.Parallel is called.

      def __init__(self):
        """Initializes a SimpleGatherAndConvModel."""
        self.embedding_w = np.random.randn(1024, 3, 4, 3).astype('f4')
        self.embedding_w = np.minimum(np.maximum(self.embedding_w, -4), 4)

        self.conv_filters = np.random.uniform(
            low=-10, high=10, size=filter_shape
        ).astype('f4')

        second_conv_filter_shape = (3, 3, filter_shape[-1], 1)

    // CHECK-DAG: %[[PROX_NEW:.*]] = "tf.Sub"(%[[ABS]], %[[SCALED_L1]]) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
    // CHECK-DAG: %[[MAX:.*]] = "tf.Maximum"(%[[PROX_NEW]], %[[ZERO]]) : (tensor<4xf32>, tensor<f32>) -> tensor<4xf32>
    // CHECK-DAG: %[[SIGNED:.*]] = "tf.Mul"(%[[SIGN]], %[[MAX]]) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>

	destinationPrefix string
	isolationID       uint16
	providerAddress   string
	drMacAddress      string
}

const (
	NETWORK_TYPE_OVERLAY = "overlay"
	// MAX_COUNT_STALE_LOADBALANCERS is the maximum number of stale loadbalancers which cleanedup in single syncproxyrules.
	// If there are more stale loadbalancers to clean, it will go to next iteration of syncproxyrules.
	MAX_COUNT_STALE_LOADBALANCERS = 20
)

   * elements. The returned iterator supports {@code remove()} if {@code iterator} does.
   *
   * @param iterator the iterator to limit
   * @param limitSize the maximum number of elements in the returned iterator
   * @throws IllegalArgumentException if {@code limitSize} is negative
   * @since 3.0
   */
  public static <T extends @Nullable Object> Iterator<T> limit(

   * elements. The returned iterator supports {@code remove()} if {@code iterator} does.
   *
   * @param iterator the iterator to limit
   * @param limitSize the maximum number of elements in the returned iterator
   * @throws IllegalArgumentException if {@code limitSize} is negative
   * @since 3.0
   */
  public static <T extends @Nullable Object> Iterator<T> limit(

		},
		"should bubble up",
		nil,
	},
	{
		nil,
		func(clientHello *ClientHelloInfo) (*Config, error) {
			config := testConfig.Clone()
			// Setting a maximum version of TLS 1.1 should cause
			// the handshake to fail, as the client MinVersion is TLS 1.2.
			config.MaxVersion = VersionTLS11
			return config, nil
		},
		"client offered only unsupported versions",