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  1. docs/ko/docs/tutorial/dependencies/classes-as-dependencies.md

    something(some_argument, some_keyword_argument="foo")
    ```
    
    상기와 같은 방식으로 "호출(실행)" 할 수 있다면 "호출 가능"이 됩니다.
    
    ## 의존성으로서의 클래스
    
    파이썬 클래스의 인스턴스를 생성하기 위해 사용하는 것과 동일한 문법을 사용한다는 걸 알 수 있습니다.
    
    예를 들어:
    
    ```Python
    class Cat:
        def __init__(self, name: str):
            self.name = name
    
    
    fluffy = Cat(name="Mr Fluffy")
    ```
    
    이 경우에 `fluffy`는 클래스 `Cat`의 인스턴스입니다. 그리고 우리는 `fluffy`를 만들기 위해서 `Cat`을 "호출"했습니다.
    
    따라서, 파이썬 클래스는 **호출 가능**합니다.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  2. docs/nl/docs/features.md

    Je schrijft gewoon standaard Python met types:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Declareer een variabele als een str
    # en krijg editorondersteuning in de functie
    def main(user_id: str):
        return user_id
    
    
    # Een Pydantic model
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    Vervolgens kan je het op deze manier gebruiken:
    
    ```Python
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Sep 03 13:50:38 UTC 2024
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  3. docs/en/docs/release-notes.md

    ```Python
    def get_current_user(token: str):
        # authenticate user
        return User()
    
    
    @app.get("/items/")
    def read_items(user: User = Depends(get_current_user)):
        ...
    
    
    @app.post("/items/")
    def create_item(*, user: User = Depends(get_current_user), item: Item):
        ...
    
    
    @app.get("/items/{item_id}")
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Fri Nov 01 11:25:57 UTC 2024
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  4. tensorflow/c/eager/c_api_unified_experimental_test.cc

        TF_DeleteAbstractTensor(add_output1);
        TF_DeleteAbstractTensor(add_output2);
        TF_DeleteOutputList(func_outputs);
      }
    
      /**
       * We traced so far this function:
       *
       *   def two_adds(a, b):
       *     my_add1 = a + b
       *     my_add2 = b + b
       *     return my_add1, my_add2
       *
       * Now we will execute this function with an eager context:
       *
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Sat Oct 12 05:11:17 UTC 2024
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  5. src/bufio/bufio_test.go

    	}
    	if s, err := buf.Peek(2); string(s) != "de" || err != nil {
    		t.Fatalf("want %q got %q, err=%v", "de", string(s), err)
    	}
    	if _, err := buf.Read(p[0:3]); string(p[0:3]) != "def" || err != nil {
    		t.Fatalf("want %q got %q, err=%v", "def", string(p[0:3]), err)
    	}
    	if s, err := buf.Peek(4); string(s) != "ghij" || err != nil {
    		t.Fatalf("want %q got %q, err=%v", "ghij", string(s), err)
    	}
    Registered: Tue Nov 05 11:13:11 UTC 2024
    - Last Modified: Fri Nov 01 21:52:12 UTC 2024
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  6. docs/ja/docs/tutorial/dependencies/classes-as-dependencies.md

    ```Python
    something(some_argument, some_keyword_argument="foo")
    ```
    
    これを「呼び出し可能」なものと呼びます。
    
    ## 依存関係としてのクラス
    
    Pythonのクラスのインスタンスを作成する際に、同じ構文を使用していることに気づくかもしれません。
    
    例えば:
    
    ```Python
    class Cat:
        def __init__(self, name: str):
            self.name = name
    
    
    fluffy = Cat(name="Mr Fluffy")
    ```
    
    この場合、`fluffy`は`Cat`クラスのインスタンスです。
    
    そして`fluffy`を作成するために、`Cat`を「呼び出している」ことになります。
    
    そのため、Pythonのクラスもまた「呼び出し可能」です。
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  7. docs/pt/docs/advanced/custom-response.md

    /// tip | Dica
    
    Perceba que aqui estamos utilizando o `open()` da biblioteca padrão que não suporta `async` e `await`, e declaramos a operação de rota com o `def` básico.
    
    ///
    
    ### `FileResponse`
    
    Envia um arquivo  de forma assíncrona e contínua (stream).
    *
    Recebe um conjunto de argumentos do construtor diferente dos outros tipos de resposta:
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Oct 29 11:47:10 UTC 2024
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  8. docs/vi/docs/features.md

    Bạn viết chuẩn Python với kiểu dữ liệu như sau:
    
    ```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
    ```
    
    Sau đó có thể được sử dụng:
    
    ```Python
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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  9. docs/zh/docs/features.md

    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
    ```
    
    可以像这样来使用:
    
    ```Python
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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  10. docs/ko/docs/features.md

    여러분은 타입을 이용한 표준 파이썬을 다음과 같이 적을 수 있습니다:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # 변수를 str로 선언
    # 그 후 함수 안에서 편집기 지원을 받으세요
    def main(user_id: str):
        return user_id
    
    
    # Pydantic 모델
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    위의 코드는 다음과 같이 사용될 수 있습니다:
    
    ```Python
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Aug 06 04:48:30 UTC 2024
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