TestDomainObject value2 = new TestDomainObject('a')
        repository.put('class1', value1)
        repository.put('class2', value2)
        Closure cl = Mock()

        when:
        repository.each(cl)

        then:
        1 * cl.call(['class1', value1] as Object[])
        1 * cl.call(['class2', value2] as Object[])
        0 * cl._
    }

    def canIterateOverClassesUsingAction() {

            Interface12.class,
            Interface1.class,
            Interface2.class,
            Class1.class,
            Object.class);
    makeUnmodifiable(types.interfaces().rawTypes())
        .containsExactly(
            Interface3.class,
            Interface12.class,
            Interface1.class,
            Interface2.class,
            Iterable.class);
    makeUnmodifiable(types.classes().rawTypes())

)

// Standard constants for all storage class
const (
	// Reduced redundancy storage class
	RRS = "REDUCED_REDUNDANCY"
	// Standard storage class
	STANDARD = "STANDARD"
)

// Standard constants for config info storage class
const (
	ClassStandard = "standard"
	ClassRRS      = "rrs"
	Optimize      = "optimize"
	InlineBlock   = "inline_block"

	// Reduced redundancy storage class environment variable

Nesse caso,  `fluffy` é uma instância da classe `Cat`.

E para criar `fluffy`, você está "chamando" `Cat`.

Então, uma classe Python também é "chamável".

Então, no **FastAPI**, você pode utilizar uma classe Python como uma dependência.

O que o FastAPI realmente verifica, é se a dependência é algo chamável (função, classe, ou outra coisa) e os parâmetros que foram definidos.

```

then it is a "callable".

## Classes as dependencies { #classes-as-dependencies_1 }

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

## Klassen als Abhängigkeiten { #classes-as-dependencies_1 }

Möglicherweise stellen Sie fest, dass Sie zum Erstellen einer Instanz einer Python-Klasse die gleiche Syntax verwenden.

Zum Beispiel:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In diesem Fall ist `fluffy` eine Instanz der Klasse `Cat`.

```

entonces es un "callable".

## Clases como dependencias { #classes-as-dependencies_1 }

Puedes notar que para crear una instance de una clase en Python, utilizas esa misma sintaxis.

Por ejemplo:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

En este caso, `fluffy` es una instance de la clase `Cat`.

2.1-lifecycle-refactor-class-diagram.png...

```Python
something(some_argument, some_keyword_argument="foo")
```

в таком случае он является «вызываемым».

## Классы как зависимости { #classes-as-dependencies_1 }

Вы можете заметить, что для создания экземпляра класса в Python используется тот же синтаксис.

Например:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

something()
```

或者

```Python
something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

在这个例子中, `fluffy` 是一个 `Cat` 类的实例。

为了创建 `fluffy`，你调用了 `Cat` 。

所以，Python 类也是 **可调用对象**。