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  1. docs/en/docs/tutorial/response-model.md

    !!! info
        You can also use:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        as described in <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">the Pydantic docs</a> for `exclude_defaults` and `exclude_none`.
    
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  2. docs/zh/docs/tutorial/response-model.md

    !!! info
        你还可以使用:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        参考 <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 文档</a> 中对 `exclude_defaults` 和 `exclude_none` 的描述。
    
    #### 默认值字段有实际值的数据
    
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  3. docs/ja/docs/tutorial/response-model.md

    !!! info "情報"
        以下も使用することができます:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
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  4. docs/zh/docs/tutorial/body-updates.md

        `PATCH` 没有 `PUT` 知名,也怎么不常用。
    
        很多人甚至只用 `PUT` 实现部分更新。
    
        **FastAPI** 对此没有任何限制,可以**随意**互换使用这两种操作。
    
        但本指南也会分别介绍这两种操作各自的用途。
    
    ### 使用 Pydantic 的 `exclude_unset` 参数
    
    更新部分数据时,可以在 Pydantic 模型的 `.dict()` 中使用 `exclude_unset` 参数。
    
    比如,`item.dict(exclude_unset=True)`。
    
    这段代码生成的 `dict` 只包含创建 `item` 模型时显式设置的数据,而不包括默认值。
    
    然后再用它生成一个只含已设置(在请求中所发送)数据,且省略了默认值的 `dict`:
    
    ```Python hl_lines="34"
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  5. docs/en/docs/advanced/dataclasses.md

    {!../../../docs_src/dataclasses/tutorial003.py!}
    ```
    
    1. We still import `field` from standard `dataclasses`.
    
    2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.
    
    3. The `Author` dataclass includes a list of `Item` dataclasses.
    
    4. The `Author` dataclass is used as the `response_model` parameter.
    
    5. You can use other standard type annotations with dataclasses as the request body.
    
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  6. docs/en/docs/tutorial/first-steps.md

    This schema definition includes your API paths, the possible parameters they take, etc.
    
    #### Data "schema"
    
    The term "schema" might also refer to the shape of some data, like a JSON content.
    
    In that case, it would mean the JSON attributes, and data types they have, etc.
    
    #### OpenAPI and JSON Schema
    
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  7. docs/de/docs/tutorial/response-model.md

    !!! info
        Sie können auch:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        verwenden, wie in der <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict" class="external-link" target="_blank">Pydantic Dokumentation</a> für `exclude_defaults` und `exclude_none` beschrieben.
    
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  8. docs/em/docs/tutorial/response-model.md

    !!! info
        👆 💪 ⚙️:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        🔬 <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 🩺</a> `exclude_defaults` &amp; `exclude_none`.
    
    #### 📊 ⏮️ 💲 🏑 ⏮️ 🔢
    
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  9. pyproject.toml

        # Extra Pydantic data types
        "pydantic-extra-types >=2.0.0",
    ]
    
    [tool.pdm]
    version = { source = "file", path = "fastapi/__init__.py" }
    distribution = true
    
    [tool.pdm.build]
    source-includes = [
        "tests/",
        "docs_src/",
        "requirements*.txt",
        "scripts/",
        # For a test
        "docs/en/docs/img/favicon.png",
        ]
    
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  10. docs/en/docs/release-notes.md

            * Change *path operation decorators* parameter default for `response_model_exclude` from `set()` to `None` (as is in Pydantic).
        * In `encoders.jsonable_encoder`:
            * Remove deprecated `skip_defaults`, use instead `exclude_unset`.
            * Set default of `exclude` from `set()` to `None` (as is in Pydantic).
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