これは `docker compose` を使用する場合にかなり目立つことがあります。より技術的な詳細は、このDocker ComposeのFAQセクションをご覧ください：[Why do my services take 10 seconds to recreate or stop?](https://docs.docker.com/compose/faq/#why-do-my-services-take-10-seconds-to-recreate-or-stop)。

#### ディレクトリ構造 { #directory-structure }

これで、次のようなディレクトリ構造になるはずです：

```
.
├── app
│   ├── __init__.py
│   └── main.py

  - Two flags are added to kube-apiserver: `identity-lease-duration-seconds`, `identity-lease-renew-interval-seconds` ([#95533](https://github.com/kubernetes/kubernetes/pull/95533), [@roycaihw](https://github.com/roycaihw)) [SIG API Machinery]

#### Estructura de Directorios { #directory-structure }

Ahora deberías tener una estructura de directorios como:

```
.
├── app
│   ├── __init__.py
│   └── main.py

#### Verzeichnisstruktur { #directory-structure }

Sie sollten jetzt eine Verzeichnisstruktur wie diese haben:

```
.
├── app
│   ├── __init__.py
│   └── main.py

#### Estrutura de diretórios { #directory-structure }

Agora você deve haver uma estrutura de diretório como:

```
.
├── app
│   ├── __init__.py
│   └── main.py

#### Структура директорій { #directory-structure }

Зараз у вас має бути така структура директорій:

```
.
├── app
│   ├── __init__.py
│   └── main.py
├── Dockerfile

        final EventInfo event = new EventInfo();
        event.name = "test_event";
        coordinatorHelper.dispatchEvent(event);

        // Second handler should still be called even if first throws
        assertTrue(secondCalled.get());
    }

    @Test
    public void test_dispatchEvent_eventData() {

   * written into the directory.
   *
   * <p>This method assumes that the temporary volume is writable, has free inodes and free blocks,
   * and that it will not be called thousands of times per second.
   *
   * <p><b>{@link java.nio.file.Path} equivalent:</b> {@link
   * java.nio.file.Files#createTempDirectory}.
   *
   * @return the newly-created directory

    // If we are looking for the least element in the range, we can just do a linear search for it.
    // (We will hit this whenever we are doing quantile interpolation: our first selection finds
    // the lower value, our second one finds the upper value by looking for the next least element.)
    if (required == from) {
      int min = from;
      for (int index = from + 1; index <= to; index++) {
        if (array[min] > array[index]) {

  TFE_Op* func_op = TFE_NewOp(ctx, func.name().data(), status);
  for (const auto& attr : func.attr()) {
    if (!status->status.ok()) return nullptr;
    SetOpAttrValueScalar(ctx, func_op, attr.second, attr.first.data(), status);
    if (!status->status.ok()) return nullptr;
  }
  return func_op;
}
}  // namespace

void TFE_ContextStartStep(TFE_Context* ctx) {