// Report Version:  7
	// Analysis Tool:   /Applications/Xcode.app/Contents/Developer/usr/bin/vmmap
	// Analysis Tool Version:  Xcode 14.3 (14E222b)
	//
	// Physical footprint:         1.2G
	// Physical footprint (peak):  1.2G
	// Idle exit:                  untracked
	// ----
	//
	// Virtual Memory Map of process 53799 (gopls)
	// Output report format:  2.4  -64-bit process

	Msglen    uint16
	Version   uint8
	Type      uint8
	Addrs     int32
	Flags     int32
	Index     uint16
	Pad_cgo_0 [2]byte
	Data      IfData
}

type ifData struct {
	Type        uint8
	Physical    uint8
	Addrlen     uint8
	Hdrlen      uint8
	Link_state  uint8
	Vhid        uint8
	Baudrate_pf uint8
	Datalen     uint8
	Mtu         uint32
	Metric      uint32
	Baudrate    uint32

	Msglen    uint16
	Version   uint8
	Type      uint8
	Addrs     int32
	Flags     int32
	Index     uint16
	Pad_cgo_0 [2]byte
	Data      IfData
}

type ifData struct {
	Type        uint8
	Physical    uint8
	Addrlen     uint8
	Hdrlen      uint8
	Link_state  uint8
	Vhid        uint8
	Baudrate_pf uint8
	Datalen     uint8
	Mtu         uint64
	Metric      uint64
	Baudrate    uint64

 * limitations under the License.
 */

package org.gradle.process.internal.health.memory;

import org.gradle.api.Named;
import org.gradle.api.NonNullApi;

/**
 * Memory status information, usually either physical or virtual.
 */
@NonNullApi
public interface OsMemoryStatusAspect extends Named {
    /**
     * Get the name of this category.
     *
     * @return the name of this category
     */
    @Override

            KlibMetaFileType,
            FileViewProviderFactory { file, _, manager, _ ->
                K2KotlinNativeMetadataDecompiler().createFileViewProvider(file, manager, physical = true)
            })
        BinaryFileStubBuilders.INSTANCE.addExplicitExtension(KlibMetaFileType, ClassFileStubBuilder())

        ClassFileDecompilers.getInstance().EP_NAME.point.apply {

//     xla_device_type - The device type that is being targeted.
// Output:
//     Tensorflow Dialect MLIR with Runtime specific ops. All tf_device.cluster
//     ops are removed. Physical devices are assigned to ops instead of virtual
//     devices.
tensorflow::Status RunLowerClusterToRuntimeOpsPassPipeline(
    mlir::ModuleOp module, tsl::DeviceType xla_device_type,

        return memoryManager
    }

    def newMemoryManager() {
        newMemoryManager(osMemoryInfo)
    }

    def "does not attempt to release memory when claiming 0 memory and free physical memory is available"() {
        given:
        osMemoryInfo.freeMemory = MemoryAmount.of('4g').bytes
        def memoryManager = newMemoryManager()

        and:
        def holder = Mock(MemoryHolder)

namespace {

// Parse GPU compute capability from physical device description. If compute
// capability is not found in device description, return a unit attribute.
mlir::Attribute ParseGpuDeviceMetadata(const Device& device,
                                       mlir::Builder* builder) {
  // Parse GPU device compute capability from physical device description.

	//
	//Connection Name:  Local Area Connection
	//Network Adapter:  Intel Gigabit Network Connection
	//Physical Address: XX-XX-XX-XX-XX-XX
	//Transport Name:   \Device\Tcpip_{XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX}
	//
	//Connection Name:  Wireless Network Connection
	//Network Adapter:  Wireles WLAN Card
	//Physical Address: XX-XX-XX-XX-XX-XX
	//Transport Name:   Media disconnected
	//

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package net

const hexDigit = "0123456789abcdef"

// A HardwareAddr represents a physical hardware address.
type HardwareAddr []byte

func (a HardwareAddr) String() string {
	if len(a) == 0 {
		return ""
	}
	buf := make([]byte, 0, len(a)*3-1)
	for i, b := range a {
		if i > 0 {