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  1. docs/en/docs/tutorial/query-param-models.md

    # Query Parameter Models
    
    If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them.
    
    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    ## Query Parameters with a Pydantic Model
    
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  2. docs/en/docs/tutorial/extra-models.md

    # Extra Models
    
    Continuing with the previous example, it will be common to have more than one related model.
    
    This is especially the case for user models, because:
    
    * The **input model** needs to be able to have a password.
    * The **output model** should not have a password.
    * The **database model** would probably need to have a hashed password.
    
    /// danger
    
    Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.
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  3. docs/pt/docs/tutorial/request-form-models.md

    ////
    
    O **FastAPI** irá **extrair** as informações para **cada campo** dos **dados do formulário** na requisição e dar para você o modelo Pydantic que você definiu.
    
    ## Confira os Documentos
    
    Você pode verificar na UI de documentação em `/docs`:
    
    <div class="screenshot">
    <img src="/img/tutorial/request-form-models/image01.png">
    </div>
    
    ## Proibir Campos Extras de Formulários
    
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  4. tests/test_duplicate_models_openapi.py

    from fastapi import FastAPI
    from fastapi.testclient import TestClient
    from pydantic import BaseModel
    
    app = FastAPI()
    
    
    class Model(BaseModel):
        pass
    
    
    class Model2(BaseModel):
        a: Model
    
    
    class Model3(BaseModel):
        c: Model
        d: Model2
    
    
    @app.get("/", response_model=Model3)
    def f():
        return {"c": {}, "d": {"a": {}}}
    
    
    client = TestClient(app)
    
    
    def test_get_api_route():
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  5. docs/de/docs/tutorial/response-model.md

    Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).
    
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  6. docs/en/docs/reference/openapi/models.md

    # OpenAPI `models`
    
    OpenAPI Pydantic models used to generate and validate the generated OpenAPI.
    
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  7. docs/pt/docs/tutorial/cookie-param-models.md

    # Modelos de Parâmetros de Cookie
    
    Se você possui um grupo de **cookies** que estão relacionados, você pode criar um **modelo Pydantic** para declará-los. 🍪
    
    Isso lhe permitiria **reutilizar o modelo** em **diversos lugares** e também declarar validações e metadata para todos os parâmetros de uma vez. 😎
    
    /// note | Nota
    
    Isso é suportado desde a versão `0.115.0` do FastAPI. 🤓
    
    ///
    
    /// tip | Dica
    
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  8. docs/en/docs/tutorial/cookie-param-models.md

    # Cookie Parameter Models
    
    If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪
    
    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    /// tip
    
    This same technique applies to `Query`, `Cookie`, and `Header`. 😎
    
    ///
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  9. docs/de/docs/tutorial/body-nested-models.md

    Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein.
    
    Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.
    
    Alles das beliebig tief verschachtelt.
    
    ### Ein Kindmodell definieren
    
    Wir können zum Beispiel ein `Image`-Modell definieren.
    
    //// tab | Python 3.10+
    
    ```Python hl_lines="7-9"
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  10. docs/en/docs/tutorial/body-nested-models.md

    ## Nested Models
    
    Each attribute of a Pydantic model has a type.
    
    But that type can itself be another Pydantic model.
    
    So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.
    
    All that, arbitrarily nested.
    
    ### Define a submodel
    
    For example, we can define an `Image` model:
    
    //// tab | Python 3.10+
    
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