p.metricsCache.InitOnce(5*time.Second,
		cachevalue.Opts{},
		func(ctx context.Context) (DiskMetrics, error) {
			diskMetric := DiskMetrics{
				LastMinute: make(map[string]AccElem, len(p.apiLatencies)),
				APICalls:   make(map[string]uint64, len(p.apiCalls)),
			}
			for i, v := range p.apiLatencies {
				diskMetric.LastMinute[storageMetric(i).String()] = v.total()
			}
			for i := range p.apiCalls {

Esto puede ser bastante notorio al usar `docker compose`. Consulta esta sección de preguntas frecuentes de Docker Compose para más detalles técnicos: <a href="https://docs.docker.com/compose/faq/#why-do-my-services-take-10-seconds-to-recreate-or-stop" class="external-link" target="_blank">¿Por qué mis servicios tardan 10 segundos en recrearse o detenerse?</a>.

#### Estructura de Directorios

and not yet overwritten.
These implementation constraints make Go more like Java or JavaScript,
in that most races have a limited number of outcomes,
and less like C and C++, where the meaning of any program with a race
is entirely undefined, and the compiler may do anything at all.
Go's approach aims to make errant programs more reliable and easier to debug,

             'compilation to reduce the compilation time?'),
      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):
    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of

// and also that small branches with few objects don't take up unreasonable amounts of space.
// This keeps the cache size at a reasonable size for all buckets.
//
// Whenever a branch is scanned, it is assumed that it will be un-compacted
// before it hits any of the above limits.
// This will make the branch rebalance itself when scanned if the distribution of objects has changed.

   *   <li>normalNullable: only second param is Nullable
   *   <li>nullableNullable: both params are Nullable
   * </ul>
   */
  public static class TwoArg {
    /** Action to take on a null param. */
    public enum Action {
      THROW_A_NPE {
        @Override
        public void act() {
          throw new NullPointerException();
        }
      },
      THROW_OTHER {

build:rbe_cross_compile_macos_x86 --bes_upload_mode=nowait_for_upload_complete
test:rbe_cross_compile_macos_x86 --config=rbe_cross_compile_base
# Increase the test timeout as tests often take longer on mac.
test:rbe_cross_compile_macos_x86 --test_timeout=300,450,1200,3600
# Limit jobs to 100 to avoid running into "out of memory" issues (b/316266643)
build:rbe_cross_compile_macos_x86 --jobs=100

                                const char* attr_name, const void* proto,
                                size_t proto_len, TF_Status* status) {
  // shape.ParseFromArray takes an int as length, this function takes size_t,
  // make sure there is no information loss.
  if (proto_len > std::numeric_limits<int>::max()) {
    status->status = InvalidArgument(
        "proto_len (", proto_len,

}

// GetLastDayTierStats fetches per-tier stats of the last 24hrs from all peers
func (sys *NotificationSys) GetLastDayTierStats(ctx context.Context) DailyAllTierStats {
	errs := make([]error, len(sys.allPeerClients))
	lastDayStats := make([]DailyAllTierStats, len(sys.allPeerClients))
	var wg sync.WaitGroup
	for index := range sys.peerClients {
		if sys.peerClients[index] == nil {
			continue
		}
		wg.Add(1)

*   `AdjustContrast` kernel deprecated, new kernel `AdjustContrastv2` takes and
    outputs float only. `adjust_contrast` now takes all data types.
*   `adjust_brightness`'s `delta` argument is now always assumed to be in
    `[0,1]` (as is the norm for images in floating point formats), independent
    of the data type of the input image.
*   The image processing ops do not take `min` and `max` inputs any more,