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  1. docs/en/docs/reference/openapi/models.md

    # OpenAPI `models`
    
    OpenAPI Pydantic models used to generate and validate the generated OpenAPI.
    
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  2. docs/de/docs/reference/openapi/models.md

    # OpenAPI-`models`
    
    OpenAPI Pydantic-Modelle, werden zum Generieren und Validieren der generierten OpenAPI verwendet.
    
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  3. models.BUILD

    package(default_visibility = ["//visibility:public"])
    
    licenses(["notice"])  # Apache 2.0
    
    filegroup(
        name = "model_files",
        srcs = glob(
            [
                "**/*",
            ],
            exclude = [
                "**/BUILD",
                "**/WORKSPACE",
                "**/LICENSE",
                "**/*.zip",
            ],
        ),
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  4. docs/de/docs/tutorial/body-nested-models.md

    === "Python 3.10+"
    
        ```Python hl_lines="12"
        {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!}
        ```
    
    === "Python 3.9+"
    
        ```Python hl_lines="14"
        {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="14"
        {!> ../../../docs_src/body_nested_models/tutorial002.py!}
        ```
    
    ## Set-Typen
    
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  5. 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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  6. docs/ru/docs/tutorial/extra-models.md

        {!> ../../../docs_src/extra_models/tutorial003_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="1  14-15  18-20  33"
        {!> ../../../docs_src/extra_models/tutorial003.py!}
        ```
    
    ### `Union` в Python 3.10
    
    В этом примере мы передаём `Union[PlaneItem, CarItem]` в качестве значения аргумента `response_model`.
    
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  7. docs/ru/docs/tutorial/body-nested-models.md

    === "Python 3.10+"
    
        ```Python hl_lines="12"
        {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!}
        ```
    
    === "Python 3.9+"
    
        ```Python hl_lines="14"
        {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="14"
        {!> ../../../docs_src/body_nested_models/tutorial002.py!}
        ```
    
    ## Типы множеств
    
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  8. docs/de/docs/tutorial/extra-models.md

        {!> ../../../docs_src/extra_models/tutorial001_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
        {!> ../../../docs_src/extra_models/tutorial001.py!}
        ```
    
    !!! info
        In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.
    
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  9. docs/zh/docs/tutorial/extra-models.md

    下面的代码展示了不同模型处理密码字段的方式,及使用位置的大致思路:
    
    === "Python 3.10+"
    
        ```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"
        {!> ../../../docs_src/extra_models/tutorial001_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="9  11  16  22  24  29-30  33-35  40-41"
        {!> ../../../docs_src/extra_models/tutorial001.py!}
        ```
    
    ### `**user_in.dict()` 简介
    
    #### Pydantic 的 `.dict()`
    
    `user_in` 是类 `UserIn` 的 Pydantic 模型。
    
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  10. docs/ja/docs/tutorial/extra-models.md

    ```Python hl_lines="1 14 15 18 19 20 33"
    {!../../../docs_src/extra_models/tutorial003.py!}
    ```
    
    ## モデルのリスト
    
    同じように、オブジェクトのリストのレスポンスを宣言することができます。
    
    そのためには、標準のPythonの`typing.List`を使用する:
    
    ```Python hl_lines="1 20"
    {!../../../docs_src/extra_models/tutorial004.py!}
    ```
    
    ## 任意の`dict`を持つレスポンス
    
    また、Pydanticモデルを使用せずに、キーと値の型だけを定義した任意の`dict`を使ってレスポンスを宣言することもできます。
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