*
 * This is a special tooling model as it does not provide any information. However, when requested, Gradle will
 * override the client-provided tasks with the ones stored in the {@code eclipse.synchronizationTasks} property.
 *
 * This allows Buildship to run tasks before the model loading and load the models in a single step.
 *
 * @since 5.4
 */

#include <memory>

#include "tensorflow/c/experimental/saved_model/public/signature_def_function_metadata.h"

namespace tensorflow {
namespace experimental {
namespace cc {

// SignatureDefFunctionMetadata stores additional information on each input
// and output's names, dtypes, and shape.
class SignatureDefFunctionMetadata final {
  // TODO(bmzhao): Add getters here as necessary.
 private:
  friend class SignatureDefFunction;

	lock sync.RWMutex
	// Map that stores the pod statuses.
	pods map[types.UID]*data
	// A global timestamp represents how fresh the cached data is. All
	// cache content is at the least newer than this timestamp. Note that the
	// timestamp is nil after initialization, and will only become non-nil when
	// it is ready to serve the cached statuses.
	timestamp *time.Time
	// Map that stores the subscriber records.

		if len(ports) == 0 {
			continue
		}

		for _, port := range ports {
			switch err := rebuilt.Allocate(port); err {
			case nil:
				if stored.Has(port) {
					// remove it from the old set, so we can find leaks
					stored.Release(port)
				} else {
					// doesn't seem to be allocated
					nodePortRepairPortErrors.WithLabelValues("repair").Inc()

	MOVL	ptr+0(FP), BX
	MOVL	val+4(FP), AX
	XCHGL	AX, 0(BX)
	RET

TEXT ·Store(SB), NOSPLIT, $0-8
	MOVL	ptr+0(FP), BX
	MOVL	val+4(FP), AX
	XCHGL	AX, 0(BX)
	RET

TEXT ·StoreRel(SB), NOSPLIT, $0-8
	JMP	·Store(SB)

TEXT ·StoreReluintptr(SB), NOSPLIT, $0-8
	JMP	·Store(SB)

// uint64 atomicload64(uint64 volatile* addr);
TEXT ·Load64(SB), NOSPLIT, $0-12
	NO_LOCAL_POINTERS

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_ENV_H_
#define TENSORFLOW_C_ENV_H_

#include <stdbool.h>
#include <stddef.h>
#include <stdint.h>

#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/tf_file_statistics.h"
#include "tensorflow/c/tf_status.h"

var (
	// SchemeBuilder points to a list of functions added to Scheme.
	SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes)
	// AddToScheme applies all the stored functions to the scheme.
	AddToScheme = SchemeBuilder.AddToScheme
)

func addKnownTypes(scheme *runtime.Scheme) error {
	scheme.AddKnownTypes(SchemeGroupVersion,
		&BootstrapToken{},
		&Images{},
		&UpgradePlan{},

// clustering from losing critical parallelism in the Tensorflow graph, which
// can incur great performance degradation.
//
// This pass must be run before MarkForCompilationPass, as it stores the
// scoping information that MarkForCompilationPass will need to respect for
// clustering decision.
class ClusterScopingPass : public GraphOptimizationPass {
 public:

        val property: Property<String>
    }

    @Test
    fun `can serialize Java lambda with Gradle model`() {
        val stored = newInstance<Dsl>().apply {
            property.set("42")
        }
        val loaded = valueCarriedBy(roundtripOf(isolatedActionLambdaWith(stored)))
        assertThat(
            loaded.property.get(),
            equalTo("42")
        )
    }

    private

	x[0] = y[0]
	return x[1]
}

// These two tests verify that:
// small array literals are stack allocated;
// pointers stored in small array literals do not escape;
// large array literals are heap allocated;
// pointers stored in large array literals escape.
func hugeLeaks1(x **string, y **string) { // ERROR "leaking param content: x" "y does not escape"
	a := [10]*string{*y}
	_ = a