path_params=dependant.path_params.copy(),
        query_params=dependant.query_params.copy(),
        header_params=dependant.header_params.copy(),
        cookie_params=dependant.cookie_params.copy(),
        body_params=dependant.body_params.copy(),
        name=dependant.name,
        call=dependant.call,
        request_param_name=dependant.request_param_name,

    return func


@dataclass
class Dependant:
    path_params: list[ModelField] = field(default_factory=list)
    query_params: list[ModelField] = field(default_factory=list)
    header_params: list[ModelField] = field(default_factory=list)
    cookie_params: list[ModelField] = field(default_factory=list)
    body_params: list[ModelField] = field(default_factory=list)
    dependencies: list["Dependant"] = field(default_factory=list)

This is quite simple (not very useful), but will help us focus on how the sub-dependencies work.

## Second dependency, "dependable" and "dependant" { #second-dependency-dependable-and-dependant }

Then you can create another dependency function (a "dependable") that at the same time declares a dependency of its own (so it is a "dependant" too):

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[13] *}

Let's focus on the parameters declared:

async def run_endpoint_function(
    *, dependant: Dependant, values: dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:

///

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

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

### Declare the dependency, in the "dependant" { #declare-the-dependency-in-the-dependant }

The same way you use `Body`, `Query`, etc. with your *path operation function* parameters, use `Depends` with a new parameter:

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

///

### `Depends`のインポート { #import-depends }

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

### 「dependant」での依存関係の宣言 { #declare-the-dependency-in-the-dependant }

*path operation 関数*のパラメータに`Body`や`Query`などを使用するのと同じように、新しいパラメータに`Depends`を使用することができます:

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

     * address, isPermanent, isBeingDeleted, ...etc. This information can only
     * be retrieved with the Node Status request.
     *
     * The degree of state that an NbtAddress has is dependant on how it was
     * created and what is required of it. The second degree of state is the
     * most common. This is the state information that would be retrieved from

* the header
* the headers
* the authorization header
* the `Authorization` header
* the forwarded header

* the dependency injection system
* the dependency
* the dependable
* the dependant

* I/O bound
* CPU bound
* concurrency
* parallelism
* multiprocessing

* the env var
* the environment variable
* the `PATH`
* the `PATH` variable

* the authentication

                    state = 1;
                } else {
                    out[j++] = ch;
                }
                break;
            case 1:
                /* Get ASCII hex value and convert to platform dependant
                 * encoding like EBCDIC perhaps
                 */
                b[0] = (byte) (Integer.parseInt(str.substring(i, i + 2), 16) & 0xFF);
                out[j] = new String(b, 0, 1, "ASCII").charAt(0);

* クラス
* 基底クラス
* 親クラス
* サブクラス
* 子クラス
* 兄弟クラス
* クラスメソッド

* ヘッダー
* ヘッダー（複数）
* 認可ヘッダー
* `Authorization` ヘッダー
* Forwarded ヘッダー

* 依存性注入システム
* 依存関係
* dependable
* dependant

* I/O バウンド
* CPU バウンド
* 同時実行性
* 並列性
* マルチプロセッシング

* env var
* 環境変数
* `PATH`
* `PATH` 環境変数

* 認証
* 認証プロバイダ
* 認可
* 認可フォーム
* 認可プロバイダ
* ユーザーが認証する