"type": "string",
                                "format": "date-time",
                            },
                            "end_datetime": {
                                "title": "End Datetime",
                                "type": "string",
                                "format": "date-time",
                            },
                            "repeat_at": {

)
needs_py_lt_314 = pytest.mark.skipif(
    sys.version_info >= (3, 14), reason="requires python3.13-"
)


def skip_module_if_py_gte_314():
    """Skip entire module on Python 3.14+ at import time."""
    if sys.version_info >= (3, 14):

client = TestClient(app)


def test_response_headers():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert "X-Process-Time" in response.headers


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",

            """
            'Blacklist' validation step. The vanilla parameter field will be the
            single one of the alias' or set of aliases' fields and all the other
            fields will be ignored at serialization time.
            """
        ),
    ] = None,
    title: Annotated[
        Optional[str],
        Doc(
            """
            Human-readable title.
            """
        ),
    ] = None,

                            ],
                            "title": "Description",
                        },
                        "timestamp": {
                            "format": "date-time",
                            "title": "Timestamp",
                            "type": "string",
                        },
                        "title": {
                            "title": "Title",

Você também pode combinar `dataclasses` com outras anotações de tipo para criar estruturas de dados aninhadas.

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

                <div class="collapse" id="merge-release-${changeId}">
                  <div class="well">
                      Merging `release` back to `master` is a regular operation you’re free to do, at any time. Usually, you will see conflicts in `notes.md` or `accepted-public-api-changes.json`.
                      On `master` branch, these two files are usually reset (cleaned up), unless you have special reasons not to do so.

# See https://docs.bazel.build/versions/main/windows.html
common:windows --features=compiler_param_file
common:windows --features=archive_param_file

# Speed Windows compile times. Available in VS 16.4 (we are on 16.11). See
# https://groups.google.com/a/tensorflow.org/d/topic/build/SsW98Eo7l3o/discussion
common:windows --copt=/d2ReducedOptimizeHugeFunctions

* 📝 Add note about `time.perf_counter()` in middlewares. PR [#12095](https://github.com/fastapi/fastapi/pull/12095) by [@tiangolo](https://github.com/tiangolo).
* 📝 Tweak middleware code sample `time.time()` to `time.perf_counter()`. PR [#11957](https://github.com/fastapi/fastapi/pull/11957) by [@domdent](https://github.com/domdent).

        <abbr title="converting the string that comes from an HTTP request into Python data">parsing</abbr>
        <abbr title="before 2023-03">0.95.0</abbr>
        <abbr title="2023-08-26">at the time of writing this</abbr>
        »»»

    Result (German):

        «««
        <abbr title="auch bekannt als: Endpunkte, Routen">Pfad</abbr>