jsonPath: .metadata.creationTimestamp
      name: Age
      type: date
    - description: Address associated with the network endpoint.
      jsonPath: .spec.address
      name: Address
      type: string
    name: v1
    schema:
      openAPIV3Schema:
        properties:
          spec:

      jsonPath: .metadata.creationTimestamp
      name: Age
      type: date
    - description: Address associated with the network endpoint.
      jsonPath: .spec.address
      name: Address
      type: string
    name: v1
    schema:
      openAPIV3Schema:
        properties:
          spec:

      jsonPath: .metadata.creationTimestamp
      name: Age
      type: date
    - description: Address associated with the network endpoint.
      jsonPath: .spec.address
      name: Address
      type: string
    name: v1alpha3
    schema:
      openAPIV3Schema:
        properties:
          spec:

                  depend on the implementation. If a value is set in the spec and the
                  requested address is invalid or unavailable, the implementation MUST
                  indicate this in the associated entry in GatewayStatus.Addresses.


                  The Addresses field represents a request for the address(es) on the
                  "outside of the Gateway", that traffic bound for this Gateway will use.

		}, core.Node{
			ObjectMeta: metav1.ObjectMeta{
				Name: "foo",
			},
			Status: core.NodeStatus{
				Addresses: []core.NodeAddress{
					{Type: core.NodeExternalIP, Address: "1.1.1.1"},
					{Type: core.NodeExternalIP, Address: "1.1.1.1"},
				},
			},
		}, false},
		{core.Node{
			ObjectMeta: metav1.ObjectMeta{
				Name: "foo",
			},
			Spec: core.NodeSpec{

- Kube-apiserver, kube-scheduler and kube-controller manager now use SO_REUSEPORT socket option when listening on address defined by --bind-address and --secure-port flags, when running on Unix systems (Windows is NOT supported). This allows to run multiple instances of those processes on a single host with the same configuration, which allows to update/restart them in a graceful...

		{"Trace", Func, 5},
	},
	"net/mail": {
		{"(*Address).String", Method, 0},
		{"(*AddressParser).Parse", Method, 5},
		{"(*AddressParser).ParseList", Method, 5},
		{"(Header).AddressList", Method, 0},
		{"(Header).Date", Method, 0},
		{"(Header).Get", Method, 0},
		{"Address", Type, 0},
		{"Address.Address", Field, 0},
		{"Address.Name", Field, 0},
		{"AddressParser", Type, 5},

	ADDSD X11, X11                          // f2450f58db
	ADDSS (BX), X2                          // f30f5813
	ADDSS (R11), X2                         // f3410f5813
	ADDSS X2, X2                            // f30f58d2
	ADDSS X11, X2                           // f3410f58d3
	ADDSS (BX), X11                         // f3440f581b
	ADDSS (R11), X11                        // f3450f581b
	ADDSS X2, X11                           // f3440f58da

            "description": "Hostnames for the above IP address.",
            "items": {
              "default": "",
              "type": "string"
            },
            "type": "array",
            "x-kubernetes-list-type": "atomic"
          },
          "ip": {
            "default": "",
            "description": "IP address of the host file entry.",
            "type": "string"
          }

        tf.math.multiply(a, b)

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`: