* Then check if the question (the vast majority are questions) is **clear**.

* In many cases the question asked is about an imaginary solution from the user, but there might be a **better** one. If you can understand the problem and use case better, you might be able to suggest a better **alternative solution**.

* If you can't understand the question, ask for more **details**.

    /**
     * Traverses resources contained in the file system.
     * <p>

      return (Multiset.Entry<E>[]) new Multiset.Entry<?>[length];
    }

    @Override
    public Iterable<Entry<E>> order(List<Entry<E>> insertionOrder) {
      // We mimic the order from gen.
      Map<E, Entry<E>> map = new LinkedHashMap<>();
      for (Entry<E> entry : insertionOrder) {
        map.put(entry.getElement(), entry);
      }

      Set<E> seen = new HashSet<>();

   */
  /*
   * TODO: improve this and other implementations and move out of this framework
   * for wider use
   *
   * TODO: could we incorporate the overriding logic from AbstractListTester, by
   * examining whether the features include KNOWN_ORDER?
   */
  protected void expectContents(Collection<E> expected) {
    assertEqualIgnoringOrder(expected, actualContents());
  }

                    new DefaultLog(LoggerFactory.getLogger(
                            mojoExecution.getMojoDescriptor().getFullGoalName())));
            InternalMavenSession sessionV4 = InternalMavenSession.from(session.getSession());
            scope.seed(Project.class, sessionV4.getProject(project));
            scope.seed(org.apache.maven.api.MojoExecution.class, new DefaultMojoExecution(sessionV4, mojoExecution));

    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Ein Pydantic-Modell aus dem Inhalt eines anderen { #a-pydantic-model-from-the-contents-of-another }

Da wir im obigen Beispiel `user_dict` von `user_in.model_dump()` bekommen haben, wäre dieser Code:

```Python
user_dict = user_in.model_dump()
UserInDB(**user_dict)
```

    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

#### Pydantic-модель из содержимого другой модели { #a-pydantic-model-from-the-contents-of-another }

Как в примере выше мы получили `user_dict` из `user_in.dict()`, этот код:

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

будет равнозначен такому:

{* ../../docs_src/request_files/tutorial002_an_py39.py hl[10,15] *}

Вы получите, как и было объявлено, список `list` из `bytes` или `UploadFile`.

/// note | Технические детали

Можно также использовать `from starlette.responses import HTMLResponse`.

**FastAPI** предоставляет тот же `starlette.responses`, что и `fastapi.responses`, просто для удобства разработчика. Однако большинство доступных ответов поступает непосредственно из Starlette.

         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

	quiet(msg string, args ...any)
	pretty(msg string, args ...any)
}

func consoleLog(console Logger, msg string, args ...any) {
	switch {
	case jsonFlag:
		// Strip escape control characters from json message
		msg = ansiRE.ReplaceAllLiteralString(msg, "")
		console.json(msg, args...)
	case quietFlag:
		if len(msg) != 0 && len(args) == 0 {
			args = append(args, msg)
			msg = "%s"
		}