</codeSegment>
        <codeSegment>
          <version>4.0.0/4.0.99</version>
          <code>
            <![CDATA[
    public void setExcludeDefaults(boolean excludeDefaults) {
        setExcludeDefaults(String.valueOf(excludeDefaults));
    }

    /**
     * Reset the <code>reportPluginMap</code> field to <code>null</code>
     */
    @Deprecated
    public void flushReportPluginMap() {

            exclude_none=exclude_none,
            exclude_defaults=exclude_defaults,
        )
        if "__root__" in obj_dict:
            obj_dict = obj_dict["__root__"]
        return jsonable_encoder(
            obj_dict,
            exclude_none=exclude_none,
            exclude_defaults=exclude_defaults,
            # TODO: remove when deprecating Pydantic v1

@app.get(
    "/exclude_unset", response_model=ModelDefaults, response_model_exclude_unset=True
)
def get_exclude_unset() -> ModelDefaults:
    return ModelDefaults(x=None, y="y")


@app.get(
    "/exclude_defaults",
    response_model=ModelDefaults,
    response_model_exclude_defaults=True,
)
def get_exclude_defaults() -> ModelDefaults:
    return ModelDefaults(x=None, y="y")


@app.get(

    assert jsonable_encoder(model, exclude_unset=True) == {"foo": "foo", "bar": "bar"}
    assert jsonable_encoder(model, exclude_defaults=True) == {"foo": "foo"}
    assert jsonable_encoder(model, exclude_unset=True, exclude_defaults=True) == {
        "foo": "foo"
    }
    assert jsonable_encoder(model, include={"foo"}) == {"foo": "foo"}

                mode=mode,
                include=include,
                exclude=exclude,
                by_alias=by_alias,
                exclude_unset=exclude_unset,
                exclude_defaults=exclude_defaults,
                exclude_none=exclude_none,
            )

        def __hash__(self) -> int:
            # Each ModelField is unique for our purposes, to allow making a dict from

            exclude_unset=exclude_unset,
            exclude_defaults=exclude_defaults,
            exclude_none=exclude_none,
        )
    elif isinstance(res, list):
        return [
            _prepare_response_content(
                item,
                exclude_unset=exclude_unset,
                exclude_defaults=exclude_defaults,
                exclude_none=exclude_none,
            )

* `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 문서</a>에서 `exclude_defaults` 및 `exclude_none`에 대해 설명한 대로 사용할 수 있습니다.

///

#### 기본값이 있는 필드를 갖는 값의 데이터

하지만 모델의 필드가 기본값이 있어도 ID가 `bar`인 항목(items)처럼 데이터가 값을 갖는다면:

```Python hl_lines="3  5"
{
    "name": "Bar",

* `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

但是，如果你的数据在具有默认值的模型字段中有实际的值，例如 ID 为 `bar` 的项：

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",

* `response_model_exclude_none=True`

как описано в <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">документации Pydantic</a> для параметров `exclude_defaults` и `exclude_none`.

///

#### Если значение поля отличается от значения по-умолчанию

* `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`.

///

#### 📊 ⏮️ 💲 🏑 ⏮️ 🔢

✋️ 🚥 👆 📊 ✔️ 💲 🏷 🏑 ⏮️ 🔢 💲, 💖 🏬 ⏮️ 🆔 `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",