// The same rule applies for a unique volume that is shared among multiple pods on the same node.
  // If this field is nil, then the supported number of volumes on this node is unbounded.
  // +optional
  optional int32 count = 1;

  // The same rule applies for a unique volume that is shared among multiple pods on the same node.
  // If this field is not specified, then the supported number of volumes on this node is unbounded.
  // +optional
  optional int32 count = 1;

		Pos:  p.pos(),
		From: nameAddr,
		To: obj.Addr{
			Type:   obj.TYPE_TEXTSIZE,
			Offset: frameSize,
			// Argsize set below.
		},
	}
	nameAddr.Sym.Func().Text = prog
	prog.To.Val = int32(argSize)
	p.append(prog, "", true)
}

// asmData assembles a DATA pseudo-op.
// DATA masks<>+0x00(SB)/4, $0x00000000
func (p *Parser) asmData(operands [][]lex.Token) {
	if len(operands) != 2 {

			s = "ideal-string"
		case types.UntypedNil:
			panic("should never see untyped nil type")
		default:
			switch s {
			case "byte":
				s = "uint8"
			case "rune":
				s = "int32"
			}
		}
		buf.WriteString(s)

	case *types.Array:
		fmt.Fprintf(buf, "[%d]", typ.Len())
		w.writeType(buf, typ.Elem())

	case *types.Slice:
		buf.WriteString("[]")

- `-- kube-controller-manager`
  `--node-cidr-mask-size-ipv4 int32`     Default: 24. Mask size for IPv4 node-cidr in dual-stack cluster.
`--node-cidr-mask-size-ipv6 int32`     Default: 64. Mask size for IPv6 node-cidr in dual-stack cluster.

// The calls to TF_AddInput and TF_AddInputList must match (in number,
// order, and type) the op declaration.  For example, the "Concat" op
// has registration:
//   REGISTER_OP("Concat")
//       .Input("concat_dim: int32")
//       .Input("values: N * T")
//       .Output("output: T")
//       .Attr("N: int >= 2")
//       .Attr("T: type");
// that defines two inputs, "concat_dim" and "values" (in that order).

        tf.TensorSpec([], dtypes.int32) ]) def _remote_multiply(a, b): return
        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)

}

// ServerHTTPStats holds all type of http operations performed to/from the server
// including their average execution time.
type ServerHTTPStats struct {
	S3RequestsInQueue      int32              `json:"s3RequestsInQueue"`
	S3RequestsIncoming     uint64             `json:"s3RequestsIncoming"`
	CurrentS3Requests      ServerHTTPAPIStats `json:"currentS3Requests"`

or variables, are provided in _cgo_gotypes.go.

Here is a _cgo_gotypes.go containing definitions for needed C types:

	type _Ctype_char int8
	type _Ctype_int int32
	type _Ctype_void [0]byte

The _cgo_gotypes.go file also contains the definitions of the
functions. They all have similar bodies that invoke runtime·cgocall

		return !strings.ContainsAny(volname, `\:*?\"<>|`)
	}

	return true
}

// xlStorage - implements StorageAPI interface.
type xlStorage struct {
	// Indicate of NSScanner is in progress in this disk
	scanning int32

	drivePath string
	endpoint  Endpoint

	globalSync bool
	oDirect    bool // indicates if this disk supports ODirect

	diskID string

	formatFileInfo  os.FileInfo
	formatFile      string