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  1. docs/ko/docs/tutorial/body.md

    <img src="/img/tutorial/body/image01.png">
    
    이를 필요로 하는 각각의 *경로 작동*내부의 API 문서에도 사용됩니다:
    
    <img src="/img/tutorial/body/image02.png">
    
    ## 편집기 지원
    
    편집기에서, 함수 내에서 타입 힌트와 완성을 어디서나 (만약 Pydantic model 대신에 `dict`을 받을 경우 나타나지 않을 수 있습니다) 받을 수 있습니다:
    
    <img src="/img/tutorial/body/image03.png">
    
    잘못된 타입 연산에 대한 에러 확인도 받을 수 있습니다:
    
    <img src="/img/tutorial/body/image04.png">
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  2. docs/features/https.md

     * `COMPATIBLE_TLS` is a secure configuration that connects to secure–but not current–HTTPS servers.
     * `CLEARTEXT` is an insecure configuration that is used for `http://` URLs.
    
    These loosely follow the model set in [Google Cloud Policies](https://cloud.google.com/load-balancing/docs/ssl-policies-concepts). We [track changes](../security/tls_configuration_history.md) to this policy.
    
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  3. docs/em/docs/features.md

    ```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
    ```
    
    👈 💪 ⤴️ ⚙️ 💖:
    
    ```Python
    my_user: User = User(id=3, name="John Doe", joined="2018-07-19")
    
    second_user_data = {
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  4. docs/en/docs/advanced/openapi-callbacks.md

    Temporarily adopting this point of view (of the *external developer*) can help you feel like it's more obvious where to put the parameters, the Pydantic model for the body, for the response, etc. for that *external API*.
    
    ///
    
    ### Create a callback `APIRouter`
    
    First create a new `APIRouter` that will contain one or more callbacks.
    
    ```Python hl_lines="3  25"
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  5. docs/tr/docs/tutorial/first-steps.md

    Ayrıca, Pydantic modelleri de döndürebilirsiniz (bu konu ileriki aşamalarda irdelenecektir).
    
    Otomatik olarak JSON'a dönüştürülecek (ORM'ler vb. dahil) başka birçok nesne ve model vardır. En beğendiklerinizi kullanmayı deneyin, yüksek ihtimalle destekleniyordur.
    
    ## Özet
    
    * `FastAPI`'yı projemize dahil ettik.
    * Bir `app` örneği oluşturduk.
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  6. migrator/migrator.go

    //
    //	// CREATE VIEW `user_view` AS SELECT * FROM `users` WHERE age > 20
    //	q := DB.Model(&User{}).Where("age > ?", 20)
    //	DB.Debug().Migrator().CreateView("user_view", gorm.ViewOption{Query: q})
    //
    //	// CREATE OR REPLACE VIEW `users_view` AS SELECT * FROM `users` WITH CHECK OPTION
    //	q := DB.Model(&User{})
    Registered: Sun Nov 03 09:35:10 UTC 2024
    - Last Modified: Fri Apr 26 07:15:49 UTC 2024
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  7. docs/de/docs/advanced/settings.md

    /// tip | "Tipp"
    
    Die Klasse `Config` wird nur für die Pydantic-Konfiguration verwendet. Weitere Informationen finden Sie unter <a href="https://docs.pydantic.dev/1.10/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>.
    
    ///
    
    ////
    
    /// info
    
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  8. fastapi/security/oauth2.py

                    provided in one of multiple optional ways (for example, with OAuth2
                    or in a cookie).
                    """
                ),
            ] = True,
        ):
            self.model = OAuth2Model(
                flows=cast(OAuthFlowsModel, flows), description=description
            )
            self.scheme_name = scheme_name or self.__class__.__name__
            self.auto_error = auto_error
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  9. docs/tr/docs/tutorial/path-params.md

    ///
    
    /// tip | "İpucu"
    
    Merak ediyorsanız söyleyeyim, "AlexNet", "ResNet" ve "LeNet" isimleri Makine Öğrenmesi <abbr title="Teknik olarak, Derin Öğrenme model mimarileri">modellerini</abbr> temsil eder.
    
    ///
    
    ### Bir *Yol Parametresi* Tanımlayalım
    
    Sonrasında, yarattığımız enum sınıfını (`ModelName`) kullanarak tip belirteci aracılığıyla bir *yol parametresi* oluşturalım:
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  10. docs/en/docs/deployment/concepts.md

    ### Memory per Process
    
    Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.
    
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