}

bool TF_CoordinationServiceIsInitialized(TF_CoordinationServiceAgent* agent) {
  if (agent == nullptr) return false;
  auto* cc_agent = reinterpret_cast<tsl::CoordinationServiceAgent*>(agent);
  return cc_agent->IsInitialized();
}

void TF_CoordinationServiceInsertKeyValue(const char* key, int64_t key_size,
                                          const char* value, int64_t value_size,

        stoppable.add(store)
        stoppable.stop()
    }

    private
    fun CompositeStoppable.addIfInitialized(closeable: Lazy<*>) {
        if (closeable.isInitialized()) {
            add(closeable.value)
        }
    }

    private
    fun checkFingerprint(): CheckedFingerprint {
        return store.useForStateLoad { layout ->

  }
  if (!result.ok()) {
    status->status = result;
    return;
  }

  // Store results in c_outputs[]
  for (int i = 0; i < noutputs; ++i) {
    const Tensor& src = outputs[i];
    if (!src.IsInitialized() || src.NumElements() == 0) {
      c_outputs[i] =
          EmptyTensor(static_cast<TF_DataType>(src.dtype()), src.shape());
      continue;
    }
    c_outputs[i] = TF_TensorFromTensor(src, &status->status);

	"os"
	"reflect"

	"testshared/depBaseInternal"
)

// Issue 61973: indirect dependencies are not initialized.
func init() {
	if !depBaseInternal.Initialized {
		panic("depBaseInternal not initialized")
	}
	if os.Stdout == nil {
		panic("os.Stdout is nil")
	}

	Initialized = true
}

var Initialized bool

var SlicePtr interface{} = &[]int{}

var V int = 1

var HasMask []string = []string{"hi"}

        then:
        nativeDir.exists() == initialized

        where:
        // Works for all cases except -D$NATIVE_SERVICES_OPTION=false
        description       | systemProperties                    | initialized
        "initialized"     | ["-D$NATIVE_SERVICES_OPTION=true"]  | true
        "not initialized" | ["-D$NATIVE_SERVICES_OPTION=false"] | true // Should be false
        "initialized"     | ["-D$NATIVE_SERVICES_OPTION=''"]    | true

      arg.definition_stack_trace = variable.definition_stack_trace();
      if (variable.var() && variable.var()->is_initialized) {
        const Tensor* value = variable.var()->tensor();
        arg.type = value->dtype();
        arg.shape = value->shape();
        arg.initialized = true;
      } else {
        // The values of uninitialized variables are not passed as inputs, since

        cache.open()

        then:
        initialized

        cleanup:
        cache.close()
    }

    def "will rebuild cache if cache.properties is missing and properties are not empty"() {
        given:
        def dir = createCacheDir()
        def initialized = false
        def init = { initialized = true } as Consumer
        def properties = [foo: 'bar']

				} else {
					// if the slice cap is externally initialized, the externally initialized slice is directly used here
					if reflectValue.Cap() == 0 {
						db.Statement.ReflectValue.Set(reflect.MakeSlice(reflectValue.Type(), 0, 20))
					} else {
						reflectValue.SetLen(0)
						db.Statement.ReflectValue.Set(reflectValue)
					}
				}
			}

			for initialized || rows.Next() {
			BEGIN:
				initialized = false

                               *(*ptr)->tensor() = value;
                               (*ptr)->is_initialized = true;
                               return absl::OkStatus();
                             }));
  tensorflow::mutex_lock ml(*variable->mu());

  if (validate_shape) {
    OP_REQUIRES(cc_ctx,
                (!variable->is_initialized ||
                 variable->tensor()->shape().IsSameSize(value.shape())),

//
// -- if input storage class is empty then standard is assumed
//
// -- if input is RRS but RRS is not configured/initialized '-1' parity
//
//	for RRS is assumed, the caller is expected to choose the right parity
//	at that point.
//
// -- if input is STANDARD but STANDARD is not configured/initialized '-1' parity
//
//	is returned, the caller is expected to choose the right parity
//	at that point.