package once

// Singleton contains a pointer to T that must be set once.
// Until the value is set all Get() calls will block.
type Singleton[T any] struct {
	v   *T
	set chan struct{}
}

// NewSingleton creates a new unset singleton.
func NewSingleton[T any]() *Singleton[T] {
	return &Singleton[T]{set: make(chan struct{}), v: nil}
}

// Get will return the singleton value.
func (s *Singleton[T]) Get() *T {
	<-s.set
	return s.v

    }

    private void checkFile(String name, String jarName, Map<String, Boolean> counters, String type) {
        String fileName = getFileName(name, counters, type);

        if (counters.containsKey(fileName) == false) {
            throw new GradleException("Missing " + type + " for " + jarName + ", expected in " + fileName);
        }

        counters.put(fileName, true);
    }

version: "2"
linters:
  default: none
  enable:
    - durationcheck
    - forcetypeassert
    - gocritic
    - gomodguard
    - govet
    - ineffassign
    - misspell
    - revive
    - staticcheck
    - unconvert
    - unused
    - usetesting
    - whitespace
  settings:
    misspell:
      locale: US
    staticcheck:
      checks:
        - all
        - -SA1008
        - -SA1019
        - -SA4000

#ifdef __cplusplus
extern "C" {
#endif

// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:

namespace tensorflow {

// PyCapsule name for DLPack Tensor
const char* const kDlTensorCapsuleName = "dltensor";

// Returns the DLDevice* for the given eager tensor handle.
//
// The caller takes ownership of the returned pointer and is responsible for
// deleting it.
TF_CAPI_EXPORT extern void* TFE_GetDLDevice(TFE_TensorHandle* h,
                                            TF_Status* status);

	}
}

func TestParseSchemaWithPointerFields(t *testing.T) {
	user, err := schema.Parse(&User{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse pointer user, got error %v", err)
	}

	checkUserSchema(t, user)
}

func checkUserSchema(t *testing.T, user *schema.Schema) {
	// check schema

	"fmt"
	"syscall"
	"unsafe"
)

func direntNamlen(dirent *syscall.Dirent) (uint64, error) {
	const fixedHdr = uint16(unsafe.Offsetof(syscall.Dirent{}.Name))
	nameBuf := (*[unsafe.Sizeof(dirent.Name)]byte)(unsafe.Pointer(&dirent.Name[0]))
	const nameBufLen = uint16(len(nameBuf))
	limit := dirent.Reclen - fixedHdr
	if limit > nameBufLen {
		limit = nameBufLen
	}
	// Avoid bugs in long file names

 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will
 * hold the numerical gradient data at the end of the function.
 */
absl::Status CalcNumericalGrad(AbstractContext* ctx, Model forward,

				if _, ok := field.TagSettings["EMBEDDED"]; ok || !fieldStruct.Anonymous {
					ef.EmbeddedBindNames = append([]string{fieldStruct.Name}, ef.EmbeddedBindNames...)
				}
				// index is negative means is pointer
				if field.FieldType.Kind() == reflect.Struct {
					ef.StructField.Index = append([]int{fieldStruct.Index[0]}, ef.StructField.Index...)
				} else {

        $submitButton.closest("form").trigger("submit");
      }
      return false;
    }
  });

  $(".table tr[data-href]").each(function() {
    var $row = $(this);
    $row.css("cursor", "pointer")
      .on("mouseenter", function() {
        $(this).addClass("active");
      })
      .on("mouseleave", function() {
        $(this).removeClass("active");
      })
      .on("click", function() {