return viewBuilder.build(parameter)!!
        }

        override fun getHash(): HashCode {
            val unpacked = ToolingParameterProxy.unpackProperties(parameter)
            return Hashing.hashHashable(valueSnapshotter.snapshot(unpacked))
        }
    }

import (
	"internal/race"
	"sync/atomic"
	"unsafe"
)

// Provided by runtime via linkname.
func throw(string)
func fatal(string)

// A Mutex is a mutual exclusion lock.
// The zero value for a Mutex is an unlocked mutex.
//
// A Mutex must not be copied after first use.
//
// In the terminology of [the Go memory model],
// the n'th call to [Mutex.Unlock] “synchronizes before” the m'th call to [Mutex.Lock]
// for any n < m.

  // Load input model
  auto input_fbm = tflite::FlatBufferModel::BuildFromFile(
      "tensorflow/lite/testdata/sparse_tensor.bin");
  tflite::ModelT input_model;
  input_fbm->GetModel()->UnPackTo(&input_model);

  // Populate input metadata
  auto model_metadata_buffer = std::make_unique<tflite::BufferT>();
  model_metadata_buffer->data =
      std::vector<uint8_t>(expected_value.begin(), expected_value.end());

     * fails.
     */
    void registerLocked(ResourceLock resourceLock);

    /**
     * Registers a resource lock that has been unlocked during the transform so that the coordination service can
     * notify threads waiting on a lock.
     */
    void registerUnlocked(ResourceLock resourceLock);

    /**

// A RWMutex is a reader/writer mutual exclusion lock.
// The lock can be held by an arbitrary number of readers or a single writer.
// The zero value for a RWMutex is an unlocked mutex.
//
// A RWMutex must not be copied after first use.
//
// If any goroutine calls [RWMutex.Lock] while the lock is already held by
// one or more readers, concurrent calls to [RWMutex.RLock] will block until

	}
}

func unlock(l *mutex) {
	unlockWithRank(l)
}

func unlock2(l *mutex) {
	v := atomic.Xchg(key32(&l.key), mutex_unlocked)
	if v == mutex_unlocked {
		throw("unlock of unlocked lock")
	}
	if v == mutex_sleeping {
		futexwakeup(key32(&l.key), 1)
	}

	gp := getg()
	gp.m.mLockProfile.recordUnlock(l)
	gp.m.locks--
	if gp.m.locks < 0 {
		throw("runtime·unlock: lock count")

        then:
        0 * _  // Does not call initialization action.
        dir.file("cache.properties").isFile()
        dir.file("some-file").isFile()
    }

    def "will rebuild cache if not unlocked cleanly"() {
        given:
        def dir = temporaryFolder.testDirectory.createDir("cache")
        def initialized = false
        def init = { initialized = true } as Consumer

  return op_name.lower();
}

std::unique_ptr<tflite::ModelT> CreateMutableModelFromFile(
    const tflite::Model* input_model) {
  auto copied_model = std::make_unique<tflite::ModelT>();
  input_model->UnPackTo(copied_model.get(), nullptr);
  return copied_model;
}
}  // namespace

// TODO(b/214314076): Support MLIR model as an input for the C++ dynamic range
// quantization API
TfLiteStatus QuantizeWeights(

	// On multiprocessors, spin for ACTIVE_SPIN attempts.
	spin := 0
	if ncpu > 1 {
		spin = active_spin
	}
Loop:
	for i := 0; ; i++ {
		v := atomic.Loaduintptr(&l.key)
		if v&locked == 0 {
			// Unlocked. Try to lock.
			if atomic.Casuintptr(&l.key, v, v|locked) {
				timer.end()
				return
			}
			i = 0
		}
		if i < spin {
			procyield(active_spin_cnt)
		} else if i < spin+passive_spin {
			osyield()