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

Bevor wir tiefer in das **Dependency Injection** System eintauchen, lassen Sie uns das vorherige Beispiel verbessern.

## Ein `dict` aus dem vorherigen Beispiel { #a-dict-from-the-previous-example }

So, a Python class is also a **callable**.

Then, in **FastAPI**, you could use a Python class as a dependency.

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.

# Classes como Dependências { #classes-as-dependencies }

Antes de nos aprofundarmos no sistema de **Injeção de Dependência**, vamos melhorar o exemplo anterior.

## `dict` do exemplo anterior { #a-dict-from-the-previous-example }

No exemplo anterior, nós retornávamos um `dict` da nossa dependência ("injetável"):

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

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

Прежде чем углубиться в систему **Внедрения Зависимостей**, давайте обновим предыдущий пример.

## `dict` из предыдущего примера { #a-dict-from-the-previous-example }

В предыдущем примере мы возвращали `dict` из нашей зависимости:

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

Но затем мы получаем `dict` в параметре `commons` *функции-обработчика пути*.

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

Antes de profundizar en el sistema de **Inyección de Dependencias**, vamos a mejorar el ejemplo anterior.

## Un `dict` del ejemplo anterior { #a-dict-from-the-previous-example }

En el ejemplo anterior, estábamos devolviendo un `dict` de nuestra dependencia ("dependable"):

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

from .v2 import RequiredParam as RequiredParam
from .v2 import Undefined as Undefined
from .v2 import UndefinedType as UndefinedType
from .v2 import Url as Url
from .v2 import Validator as Validator
from .v2 import _regenerate_error_with_loc as _regenerate_error_with_loc
from .v2 import copy_field_info as copy_field_info
from .v2 import create_body_model as create_body_model

		register["g"] = x86.REGG
	}
	// Register prefix not used on this architecture.

	instructions := make(map[string]obj.As)
	for i, s := range obj.Anames {
		instructions[s] = obj.As(i)
	}
	for i, s := range x86.Anames {
		if obj.As(i) >= obj.A_ARCHSPECIFIC {
			instructions[s] = obj.As(i) + obj.ABaseAMD64
		}
	}
	// Annoying aliases.
	instructions["JA"] = x86.AJHI   /* alternate */

The function parameters will be recognized as follows:

* If the parameter is also declared in the **path**, it will be used as a path parameter.
* If the parameter is of a **singular type** (like `int`, `float`, `str`, `bool`, etc) it will be interpreted as a **query** parameter.
* If the parameter is declared to be of the type of a **Pydantic model**, it will be interpreted as a request **body**.

/// note

///

## Order the parameters as you need { #order-the-parameters-as-you-need }

/// tip

This is probably not as important or necessary if you use `Annotated`.

///

Let's say that you want to declare the query parameter `q` as a required `str`.

And you don't need to declare anything else for that parameter, so you don't really need to use `Query`.

		return opd
	}
	return arm64.SPOP_END
}

// IsARM64ADR reports whether the op (as defined by an arm64.A* constant) is
// one of the comparison instructions that require special handling.
func IsARM64ADR(op obj.As) bool {
	switch op {
	case arm64.AADR, arm64.AADRP:
		return true
	}
	return false
}

// IsARM64CMP reports whether the op (as defined by an arm64.A* constant) is