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

    async def seek(
        self,
        offset: Annotated[
            int,
            Doc(
                """
                The position in bytes to seek to in the file.
                """
            ),
        ],
    ) -> None:
        """
        Move to a position in the file.

                  <div class="well">
                      Sometimes, the change was made on the `release` branch but hasn't yet been published to the baseline version.
                      In that case, you can publish a new snapshot from the release branch. This will update `released-versions.json` on `master`.

        include_in_schema: bool = True,
        json_schema_extra: Union[dict[str, Any], None] = None,
        **extra: Any,
    ):
        if example is not _Unset:
            warnings.warn(
                "`example` has been deprecated, please use `examples` instead",
                category=FastAPIDeprecationWarning,
                stacklevel=4,
            )
        self.example = example
        self.include_in_schema = include_in_schema

        pytest.param(
            "tutorial004_regex_an_py310",
            marks=(
                needs_py310,
                pytest.mark.filterwarnings(
                    "ignore:`regex` has been deprecated, please use `pattern` instead:fastapi.exceptions.FastAPIDeprecationWarning"
                ),
            ),
        ),
    ],
)
def get_client(request: pytest.FixtureRequest):

* Bei `PUT`-Requests an `/items/{item_id}` den Body als JSON lesen:
    * Prüfen, ob er ein erforderliches Attribut `name` hat, das ein `str` sein muss.
    * Prüfen, ob er ein erforderliches Attribut `price` hat, das ein `float` sein muss.
    * Prüfen, ob er ein optionales Attribut `is_offer` hat, das ein `bool` sein muss, falls vorhanden.
    * All dies würde auch für tief verschachtelte JSON-Objekte funktionieren.

# Using Dataclasses { #using-dataclasses }

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

junit_family = "xunit2"
filterwarnings = [
    "error",
    'ignore:starlette.middleware.wsgi is deprecated and will be removed in a future release\..*:DeprecationWarning:starlette',
    # see https://trio.readthedocs.io/en/stable/history.html#trio-0-22-0-2022-09-28
    "ignore:You seem to already have a custom.*:RuntimeWarning:trio",
    # TODO: remove after upgrading SQLAlchemy to a version that includes the following changes

            )

        fun removed(thing: String, desc: String): Pair<String, List<String>> =
            "$thing ${describe(thing, desc)}: Is not binary compatible." to listOf("$thing has been removed")

        private
        fun describe(thing: String, desc: String) =
            if (thing == "Field") desc else "com.example.$desc"
    }

    fun BuildResult.assertOutputContains(text: String) =

common:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0
common:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
# for now, disable arm_neon. see: https://github.com/tensorflow/tensorflow/issues/33360
common:dbg --cxxopt -DTF_LITE_DISABLE_X86_NEON
# AWS SDK must be compiled in release mode. see: https://github.com/tensorflow/tensorflow/issues/37498
common:dbg --copt -DDEBUG_BUILD

# Config to build TF TPU

import warnings

import pytest
from starlette.testclient import TestClient

warnings.filterwarnings(
    "ignore",
    message=r"The 'lia' package has been renamed to 'cross_web'\..*",
    category=DeprecationWarning,
)

from docs_src.graphql_.tutorial001_py39 import app  # noqa: E402


@pytest.fixture(name="client")
def get_client() -> TestClient:
    return TestClient(app)


def test_query(client: TestClient):