- Sometimes, the scheduler incorrectly placed a pod in the "unschedulable" queue instead of the "backoff" queue. This happened when some plugin previously declared the pod as "unschedulable" and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the "active" queue. ([#120334](https://github.com/kubernetes/kubernetes/pull/120334), [@pohly](https://github.com/pohly))...

### `Depends` importieren { #import-depends }

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[3] *}

### Die Abhängigkeit im <abbr title="Das Abhängige, der Verwender der Abhängigkeit">„Dependant“</abbr> deklarieren { #declare-the-dependency-in-the-dependant }

So wie auch `Body`, `Query`, usw., verwenden Sie `Depends` mit den Parametern Ihrer *Pfadoperation-Funktion*:

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[13,18] *}

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[157] *}

## Объявление scopes в *обработчиках путей* и зависимостях { #declare-scopes-in-path-operations-and-dependencies }

Теперь объявим, что операция пути для `/users/me/items/` требует scope `items`.

Для этого импортируем и используем `Security` из `fastapi`.

如果你需要2分钟来学习如何使用 Python 类型（即使你不使用 FastAPI ），看看这个简短的教程：[Python Types](python-types.md){.internal-link target=_blank}。

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

# Beispiel-Request-Daten deklarieren { #declare-request-example-data }

Sie können Beispiele für die Daten deklarieren, die Ihre App empfangen kann.

Hier sind mehrere Möglichkeiten, das zu tun.

## Zusätzliche JSON-Schemadaten in Pydantic-Modellen { #extra-json-schema-data-in-pydantic-models }

Sie können `examples` („Beispiele“) für ein Pydantic-Modell deklarieren, welche dem generierten JSON-Schema hinzugefügt werden.

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date

    </server>
    -->
  </servers>

  <!-- mirrors
   | This is a list of mirrors to be used in downloading artifacts from remote repositories.
   |
   | It works like this: a POM may declare a repository to use in resolving certain artifacts.
   | However, this repository may have problems with heavy traffic at times, so people have mirrored
   | it to several places.
   |

            assertNotNull(e.getCause());
            assertTrue(e.getCause() instanceof IllegalArgumentException);
        }
    }

    /**
     * Test exception in method that declares throws
     */
    public void test_exceptionInMethod() {
        try {
            methodThatThrowsException();
            fail("Should have thrown CrawlerSystemException");

Имейте в виду, что в этом случае FastAPI не будет проверять содержимое списка.

Например, `list[int]` проверит (и задокументирует), что элементы списка — целые числа. А просто `list` — нет.

///

## Больше метаданных { #declare-more-metadata }

Можно добавить больше информации о параметре.

Эта информация будет включена в сгенерированную OpenAPI-схему и использована интерфейсами документации и внешними инструментами.