// object.metadata.labels. If the object is another cluster scoped resource,
	// it never skips the policy.
	//
	// For example, to run the webhook on any objects whose namespace is not
	// associated with "runlevel" of "0" or "1";  you will set the selector as
	// follows:
	// "namespaceSelector": {
	//   "matchExpressions": [
	//     {
	//       "key": "runlevel",
	//       "operator": "NotIn",

}

// IngressSpec describes the Ingress the user wishes to exist.
type IngressSpec struct {
	// IngressClassName is the name of the IngressClass cluster resource. The
	// associated IngressClass defines which controller will implement the
	// resource. This replaces the deprecated `kubernetes.io/ingress.class`
	// annotation. For backwards compatibility, when that annotation is set, it

 *
 * <p>Gradle executes the project's build file against the <code>Project</code> instance to configure the project. Any
 * property or method which your script uses is delegated through to the associated <code>Project</code> object.  This
 * means, that you can use any of the methods and properties on the <code>Project</code> interface directly in your script.
 * </p><p>For example:
 * <pre>

`tf_device.cluster`, and copies over attributes from the associated
`tf.TPUReplicateMetadata` op to the newly created `tf_device.cluster`. If the
computation is replicated (`num_replicas` > 1), the `num_replicas` attribute is
not copied over but instead the `tf_device.cluster` is further wrapped with a
`tf_device.replicate`, and associated `tf.TPUReplicatedInput` and

/// This is the interop header between core TensorFlow and modular filesystem
/// plugins (see initial RFC https://github.com/tensorflow/community/pull/101).
///
/// Both core TensorFlow and every plugin will use this header. The associated
/// `.cc` file is only used by core TensorFlow to implement checking needed for
/// plugin registration and ensuring API and ABI compatibility. Plugin authors

  func.return %7#0 : tensor<10x3xf32>
}

// -----


// Test cluster with TPUReplicatedInput where the number of operands does not
// match associated `num_replicas` attribute.
func.func @mismatched_replicated_input(%arg0: tensor<i1>) {
  // expected-error@+1 {{'tf.TPUReplicatedInput' op requires 2 operands}}

          "name": "dryRun",
          "schema": {
            "type": "string",
            "uniqueItems": true
          }
        },
        {
          "description": "fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint.",
          "in": "query",

    Args:
      sess: Current tf.Session object.
      saved_model_path: Directory to save the model.
      signature_key: The key to the SignatureDef that inputs & outputs
        correspond to.
      tags: Set of tags associated with the model.
      inputs: Input name -> input tensor mapping.
      outputs: Output name -> output tensor mapping.
      init_op: Op for initialization.

	if t.obj != nil {
		return t.obj.Sym()
	}
	return nil
}

// Underlying returns the underlying type of type t.
func (t *Type) Underlying() *Type { return t.underlying }

// Pos returns a position associated with t, if any.
// This should only be used for diagnostics.
func (t *Type) Pos() src.XPos {
	if t.obj != nil {
		return t.obj.Pos()
	}
	return src.NoXPos
}

func (t *Type) RParams() []*Type {

	signatureECDSA
	signatureEd25519
)

// directSigning is a standard Hash value that signals that no pre-hashing
// should be performed, and that the input should be signed directly. It is the
// hash function associated with the Ed25519 signature scheme.
var directSigning crypto.Hash = 0

// helloRetryRequestRandom is set as the Random value of a ServerHello
// to signal that the message is actually a HelloRetryRequest.