var adviseUnused = uint32(_MADV_FREE)

const madviseUnsupported = 0

func sysUnusedOS(v unsafe.Pointer, n uintptr) {
	if uintptr(v)&(physPageSize-1) != 0 || n&(physPageSize-1) != 0 {
		// madvise will round this to any physical page
		// *covered* by this range, so an unaligned madvise
		// will release more memory than intended.
		throw("unaligned sysUnused")
	}

	advise := atomic.Load(&adviseUnused)

}

// An inlineUnwinder iterates over the stack of inlined calls at a PC by
// decoding the inline table. The last step of iteration is always the frame of
// the physical function, so there's always at least one frame.
//
// This is typically used as:
//
//	for u, uf := newInlineUnwinder(...); uf.valid(); uf = u.next(uf) { ... }
//

This sample shows how to structure a software product that consists of multiple components as a set of connected Gradle builds.
As such, it shows how Gradle is used to model a project's architecture and reflect that in the physical structure of the files that make up the software.
This example is described as part of the link:{userManualPath}/structuring_software_products.html[documentation on this topic].

	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

    was inconsistently configured between sidecars and different gateway installation mechanisms.
    This often led to gateways running with concurrency based on the number of physical cores on the host machine,
    despite having CPU limits, leading to decreased performance and increased resource usage.
    
    In this release, concurrency configuration has been tweaked to be consistent across deployment types.

	// 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

 * 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

//     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)