Example:

    Source (English):

        «««
        <abbr title="Object Relational Mapper: a fancy term for a library where some classes represent SQL tables and instances represent rows in those tables">ORM</abbr>
        »»»

    Result (German):

        «««

        # Read body and auto-close files
        try:
            body: Any = None
            if body_field:
                if is_body_form:
                    body = await request.form()
                    file_stack.push_async_callback(body.close)
                else:
                    body_bytes = await request.body()

        """
        return await super().seek(offset)

    async def close(self) -> None:
        """
        Close the file.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().close()

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":

        return_value=dbsession_moock,
        create=True,
    ):
        value = asyncio.run(test_async_gen())

    assert value is dbsession_moock

///

## Learn More { #learn-more }

You can learn more about **GraphQL** in the <a href="https://graphql.org/" class="external-link" target="_blank">official GraphQL documentation</a>.

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

                """
            ),
        ],
        reason: Annotated[
            Union[str, None],
            Doc(
                """
                The reason to close the WebSocket connection.

                It is UTF-8-encoded data. The interpretation of the reason is up to the
                application, it is not specified by the WebSocket specification.

            This is mainly a hack for compatibility with SQLAlchemy objects, they
            store internal SQLAlchemy-specific state in attributes named with `_sa`,
            and those objects can't (and shouldn't be) serialized to JSON.
            """
        ),
    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

And `fastapi-slim` would not include those standard dependencies.

Now `fastapi` doesn't include those standard dependencies unless you install with `pip install "fastapi[standard]"`.

Before, you would install `pip install fastapi`, now you should include the `standard` optional dependencies (unless you want to exclude one of those): `pip install "fastapi[standard]"`.

#### Deploy to other cloud providers { #deploy-to-other-cloud-providers }

FastAPI is open source and based on standards. You can deploy FastAPI apps to any cloud provider you choose.

Follow your cloud provider's guides to deploy FastAPI apps with them. 🤓

## Performance { #performance }