assertFalse(listener.healthyCalled);
  }

  /**
   * This covers a bug where if a listener was installed that would stop the manager if any service
   * fails and something failed during startup before service.start was called on all the services,
   * then awaitStopped would deadlock due to an IllegalStateException that was thrown when trying to
   * stop the timer(!).
   */

    }

    @Test
    @DisplayName("Should handle context with null values")
    void testNullContext() {
        // When
        exception = new SmbOperationException(SmbOperationException.ErrorCode.UNKNOWN_ERROR, "Something went wrong", null, null, null);

        // Then
        assertNotNull(exception.getContext());
        assertTrue(exception.getContext().isEmpty());

        // Adding null context should be safe

///

### `examples` в Pydantic и FastAPI { #pydantic-and-fastapi-examples }

Когда вы добавляете `examples` внутри модели Pydantic, используя `schema_extra` или `Field(examples=["something"])`, этот пример добавляется в **JSON Schema** для этой модели Pydantic.

И эта **JSON Schema** модели Pydantic включается в **OpenAPI** вашего API, а затем используется в UI документации.

      setException(e);
      return;
    } catch (Error e) {
      /*
       * StackOverflowError, OutOfMemoryError (e.g., from allocating ExecutionException), or
       * something. Try to treat it like a RuntimeException. If we overflow the stack again, the
       * resulting Error will propagate upward up to the root call to set().
       */
      setException(e);
      return;
    }

But it will be handled by the `unicorn_exception_handler`.

So, you will receive a clean error, with an HTTP status code of `418` and a JSON content of:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Technical Details

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

      return ImmutableSortedSet.orderedBy(STRING_REVERSED).add(elements).build();
    }

    /*
     * While the current implementation returns `this`, that's not something we mean to guarantee.
     * Callers of TestContainerGenerator.order need to be prepared for implementations to return a new
     * collection.
     */
    @SuppressWarnings("CanIgnoreReturnValueSuggester")

Aber diese wird von `unicorn_exception_handler` gehandhabt.

Sie erhalten also einen sauberen Fehler mit einem HTTP-Statuscode von `418` und dem JSON-Inhalt:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Technische Details

Sie könnten auch `from starlette.requests import Request` und `from starlette.responses import JSONResponse` verwenden.

///

### Pydantic- und FastAPI-`examples` { #pydantic-and-fastapi-examples }

Wenn Sie `examples` innerhalb eines Pydantic-Modells hinzufügen, indem Sie `schema_extra` oder `Field(examples=["something"])` verwenden, wird dieses Beispiel dem **JSON-Schema** für dieses Pydantic-Modell hinzugefügt.

        fw.println("#");
        fw.println("# The checker also rejects Markdown-style links, such as [text](https://example.com/something) as they do not render properly");

    }

    private void gatherDeadLinksInFileReleaseNotes(Map<File, List<Error>> errors) {
        int lineNumber = 0;
        List<Error> errorsForFile = new ArrayList<>();

* шлях `/`
* використовуючи <abbr title="an HTTP GET method"><code>get</code> операцію</abbr>

/// info | `@decorator` Додаткова інформація

Синтаксис `@something` у Python називається "декоратором".

Ви розташовуєте його над функцією. Як гарний декоративний капелюх (мабуть, звідти походить термін).

"Декоратор" приймає функцію нижче і виконує з нею якусь дію.