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

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:

* 👷 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).

                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: