with:
          python-version: ${{ matrix.python-version }}
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - run: mkdir coverage

      - name: Set up Python
        uses: actions/setup-python@v6
        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt -r requirements-translations.txt

# Cache pushes are limited to TF's CI system.
common:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials
# Public cache for macOS builds
common:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false

* 👷 Remove pip cache for Smokeshow as it depends on a requirements.txt. PR [#5700](https://github.com/tiangolo/fastapi/pull/5700) by [@tiangolo](https://github.com/tiangolo).
* 💚 Fix pip cache for Smokeshow. PR [#5697](https://github.com/tiangolo/fastapi/pull/5697) by [@tiangolo](https://github.com/tiangolo).

from pydantic import BaseModel
from pydantic.fields import FieldInfo
from typing_extensions import Literal

from ._compat import v2

if TYPE_CHECKING:  # pragma: nocover
    from .routing import APIRoute

# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[type[BaseModel], type[BaseModel]] = (
    WeakKeyDictionary()
)


def is_body_allowed_for_status_code(status_code: Union[int, str, None]) -> bool:

            directly.
            """
        ),
    ] = None,
    *,
    use_cache: Annotated[
        bool,
        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be

        by_alias: bool = True,
        exclude_unset: bool = False,
        exclude_defaults: bool = False,
        exclude_none: bool = False,
    ) -> Any:
        # What calls this code passes a value that already called
        # self._type_adapter.validate_python(value)
        return self._type_adapter.dump_python(
            value,
            mode=mode,
            include=include,
            exclude=exclude,

    embed_body_fields: bool,
) -> tuple[dict[str, Any], list[dict[str, Any]]]:
    values: dict[str, Any] = {}
    errors: list[dict[str, Any]] = []
    assert body_fields, "request_body_to_args() should be called with fields"
    single_not_embedded_field = len(body_fields) == 1 and not embed_body_fields
    first_field = body_fields[0]
    body_to_process = received_body

    fields_to_extract: list[ModelField] = body_fields

"English single typographic quotes"

    The characters «‘» and «’»
    Unicode U+2018 (LEFT SINGLE QUOTATION MARK) and Unicode U+2019 (RIGHT SINGLE QUOTATION MARK)

"code snippet"

    Also called "inline code". Text in a Markdown document which is surrounded by single backticks. A paragraph in a Markdown document can have a more than one code snippet.

    Example:

        «««
        `i am a code snippet`

                else:
                    yield {**(maybe_nested_state or {}), **(maybe_original_state or {})}

    return merged_lifespan  # type: ignore[return-value]


# Cache for endpoint context to avoid re-extracting on every request
_endpoint_context_cache: dict[int, EndpointContext] = {}


def _extract_endpoint_context(func: Any) -> EndpointContext: