* value, you should always choose it explicitly.
   *
   * <p>The current implementation uses the concurrency level to create a fixed number of hashtable
   * segments, each governed by its own write lock. The segment lock is taken once for each explicit
   * write, and twice for each cache loading computation (once prior to loading the new value, and
   * once after loading completes). Much internal cache management is performed at the segment

	ErrObjectLockConfigurationNotFound: {
		Code:           "ObjectLockConfigurationNotFoundError",
		Description:    "Object Lock configuration does not exist for this bucket",
		HTTPStatusCode: http.StatusNotFound,
	},
	ErrObjectLockConfigurationNotAllowed: {
		Code:           "InvalidBucketState",
		Description:    "Object Lock configuration cannot be enabled on existing buckets",
		HTTPStatusCode: http.StatusConflict,
	},

    В ней будет создан файл `requirements.txt`

3. На этом шаге установите Poetry.

4. Скопируйте файлы `pyproject.toml` и `poetry.lock` в директорию `/tmp`.

    Поскольку название файла написано как `./poetry.lock*` (с `*` в конце), то ничего не сломается, если такой файл не будет найден.

5. Создайте файл `requirements.txt`.

}

// sets globalObjectAPI to `nil`.
func resetGlobalObjectAPI() {
	globalObjLayerMutex.Lock()
	globalObjectAPI = nil
	globalObjLayerMutex.Unlock()
}

// reset the value of the Global server config.
// set it to `nil`.
func resetGlobalConfig() {
	// hold the mutex lock before a new config is assigned.
	globalServerConfigMu.Lock()
	// Save the loaded config globally.
	globalServerConfig = nil

                }
                else if ( last == null ) {
                    // don't have enough credits/space for the first request, block until available
                    // for space there is nothing we can do, callers need to make sure that a single message fits

                    try {
                        long timeout = getResponseTimeout(chain);

            this.modelCache = DefaultModelCache.newInstance(session, true);
        }

        ExecutorService createExecutor(int parallelism) {
            //
            // We need an executor that will not block.
            // We can't use work stealing, as we are building a graph
            // and this could lead to cycles where a thread waits for
            // a task to finish, then execute another one which waits

    //                                                                       =============
    @Override
    public String asTableDbName() {
        return "click_log";
    }

    @Override
    public String xgetAliasName() {
        return "click_log";
    }

    // ===================================================================================

   * the {@code Future} is already done. Second, if buggy code calls {@code getDone} on a {@code
   * Future} that is still pending, the program will throw instead of block. This can be important
   * for APIs like {@link #whenAllComplete whenAllComplete(...)}{@code .}{@link
   * FutureCombiner#call(Callable, Executor) call(...)}, where it is easy to use a new input from

   * {@code tailSet} views.
   *
   * <pre>{@code
   * NavigableSet<E> set = synchronizedNavigableSet(new TreeSet<E>());
   *  ...
   * synchronized (set) {
   *   // Must be in the synchronized block
   *   Iterator<E> it = set.iterator();
   *   while (it.hasNext()) {
   *     foo(it.next());
   *   }
   * }
   * }</pre>
   *
   * <p>or:
   *
   * <pre>{@code

		s.writeErrorResponse(w, err)
		return
	}
}

var errUnsupportedSignal = fmt.Errorf("unsupported signal")

func waitingDrivesNode() map[string]madmin.DiskMetrics {
	globalLocalDrivesMu.RLock()
	localDrives := cloneDrives(globalLocalDrives)
	globalLocalDrivesMu.RUnlock()

	errs := make([]error, len(localDrives))
	infos := make([]DiskInfo, len(localDrives))
	for i, drive := range localDrives {