package atomic

import "unsafe"

// A Bool is an atomic boolean value.
// The zero value is false.
type Bool struct {
	_ noCopy
	v uint32
}

// Load atomically loads and returns the value stored in x.
func (x *Bool) Load() bool { return LoadUint32(&x.v) != 0 }

// Store atomically stores val into x.
func (x *Bool) Store(val bool) { StoreUint32(&x.v, b32(val)) }

    fun assignSpoolFile(stateType: StateType): StateFile

    /**
     * Loads some value from zero or more state files.
     */
    fun <T : Any> useForStateLoad(action: (ConfigurationCacheRepository.Layout) -> T): T

    /**
     * Loads some value from a specific state file.
     */

    testImplementation(project(":testing-base"))

    testRuntimeOnly(project(":distributions-core")) {
        because("ProjectBuilder loads services from a Gradle distribution.")
    }
    integTestRuntimeOnly(project(":distributions-core")) {
        because("ProjectBuilder loads services from a Gradle distribution.")
    }
    integTestDistributionRuntimeClasspath(project(":distributions-core"))

 * </ul>
 *
 * To force selection of our fallback strategies we load {@link AbstractFuture} (and all of {@code
 * com.google.common.util.concurrent}) in degenerate class loaders which make certain platform
 * classes unavailable. Then we construct a test suite so we can run the normal AbstractFutureTest
 * test methods in these degenerate classloaders.
 */

func OrUintptr(addr *uintptr, mask uintptr) (old uintptr)

// LoadInt32 atomically loads *addr.
// Consider using the more ergonomic and less error-prone [Int32.Load] instead.
func LoadInt32(addr *int32) (val int32)

// LoadInt64 atomically loads *addr.
// Consider using the more ergonomic and less error-prone [Int64.Load] instead

     *
     * @deprecated Use {@link #buildRawModel(Path, int, boolean)} instead.
     */
    @Deprecated
    Result<? extends Model> buildRawModel(File pomFile, int validationLevel, boolean locationTracking);

    /**
     * Performs only the part of {@link ModelBuilder#build(ModelBuildingRequest)} that loads the raw model
     *
     * @since 4.0.0
     */

	MOVW	new_hi+8(FP), R3

swap64loop:
	LDREXD	(R1), R4	// loads R4 and R5

	DMB	MB_ISHST

	STREXD	R2, (R1), R0	// stores R2 and R3
	CMP	$0, R0
	BNE	swap64loop

	DMB	MB_ISH

	MOVW	R4, old_lo+12(FP)
	MOVW	R5, old_hi+16(FP)
	RET

TEXT armLoad64<>(SB),NOSPLIT,$0-12
	// addr is already in R1

	LDREXD	(R1), R2	// loads R2 and R3
	DMB	MB_ISH

	MOVW	R2, val_lo+4(FP)

// (e.g. `TF::VarHandleOp`s).
using ImportedMlirModuleOp =
    std::pair<OwningOpRef<ModuleOp>,
              std::unique_ptr<::tensorflow::SavedModelBundle>>;

// Loads a SavedModel at `saved_model_path` and converts it to `mlir::ModuleOp`.
//
// `tags` identify the `tensorflow::MetaGraphDef` to load from the SavedModel.
// Similarly, `signature_keys` identify the functions (`SignatureDef`s) to load

 * </ul>
 *
 * To force selection of our fallback strategies we load {@link AbstractFuture} (and all of {@code
 * com.google.common.util.concurrent}) in degenerate class loaders which make certain platform
 * classes unavailable. Then we construct a test suite so we can run the normal AbstractFutureTest
 * test methods in these degenerate classloaders.
 */

	// We use the block of the latest load.
	loads := make([]*Value, n, 8)
	for i := int64(0); i < n; i++ {
		loads[i] = r[i].load
	}
	loadBlock := mergePoint(root.Block, loads...)
	if loadBlock == nil {
		return false
	}
	// Find a source position to use.
	pos := src.NoXPos
	for _, load := range loads {
		if load.Block == loadBlock {
			pos = load.Pos
			break
		}
	}