people_path = Path("./docs/en/data/people.yml")
    github_sponsors_path = Path("./docs/en/data/github_sponsors.yml")
    people_old_content = people_path.read_text(encoding="utf-8")
    github_sponsors_old_content = github_sponsors_path.read_text(encoding="utf-8")
    new_people_content = yaml.dump(
        people, sort_keys=False, width=200, allow_unicode=True
    )
    new_github_sponsors_content = yaml.dump(

    * Pythonの`datetime.time`.
    * リクエストとレスポンスはISO 8601形式の`str`で表現されます: `14:23:55.003`
* `datetime.timedelta`:
    * Pythonの`datetime.timedelta`です。
    * リクエストとレスポンスでは合計秒数の`float`で表現されます。
    * Pydanticでは「ISO 8601 time diff encoding」として表現することも可能です。<a href="https://docs.pydantic.dev/latest/concepts/serialization/" class="external-link" target="_blank">詳細はドキュメントを参照してください</a>。
* `frozenset`:
    * リクエストとレスポンスでは`set`と同じように扱われます:

    ```

This will make FastAPI skip the response model generation and that way you can have any return type annotations you need without it affecting your FastAPI application. 🤓

## Response Model encoding parameters

Your response model could have default values, like:

=== "Python 3.10+"

    ```Python hl_lines="9  11-12"
    {!> ../../../docs_src/response_model/tutorial004_py310.py!}
    ```

    new_config_path.write_text("INHERIT: ../en/mkdocs.yml\n", encoding="utf-8")
    new_config_docs_path: Path = new_path / "docs"
    new_config_docs_path.mkdir()
    en_index_path: Path = en_docs_path / "docs" / "index.md"
    new_index_path: Path = new_config_docs_path / "index.md"
    en_index_content = en_index_path.read_text(encoding="utf-8")
    new_index_content = f"{missing_translation_snippet}\n\n{en_index_content}"

    schema_: Optional[Union[Schema, Reference]] = Field(default=None, alias="schema")
    example: Optional[Any] = None
    examples: Optional[Dict[str, Union[Example, Reference]]] = None
    encoding: Optional[Dict[str, Encoding]] = None


class ParameterBase(BaseModelWithConfig):
    description: Optional[str] = None
    required: Optional[bool] = None
    deprecated: Optional[bool] = None

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

These features are what Marshmallow was built to provide. It is a great library, and I have used it a lot before.

* `datetime.timedelta`:
    * Пайтонівський `datetime.timedelta`.
    * У запитах та відповідях буде представлений як `float` загальної кількості секунд.
    * Pydantic також дозволяє представляти це як "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">більше інформації дивись у документації</a>.
* `frozenset`:

* `datetime.timedelta`:
    * A Python `datetime.timedelta`.
    * In requests and responses will be represented as a `float` of total seconds.
    * Pydantic also allows representing it as a "ISO 8601 time diff encoding", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">see the docs for more info</a>.
* `frozenset`:
    * In requests and responses, treated the same as a `set`:

## About "Form Fields"

The way HTML forms (`<form></form>`) sends the data to the server normally uses a "special" encoding for that data, it's different from JSON.

**FastAPI** will make sure to read that data from the right place instead of JSON.

!!! note "Technical Details"

## 0.110.2

### Fixes

* 🐛 Fix support for query parameters with list types, handle JSON encoding Pydantic `UndefinedType`. PR [#9929](https://github.com/tiangolo/fastapi/pull/9929) by [@arjwilliams](https://github.com/arjwilliams).

### Refactors