@pytest.mark.parametrize(
    "path,expected_response",
    [
        (
            "/items/0?q=&size=0.1",
            {"item_id": 0, "size": 0.1},
        ),
        (
            "/items/1000?q=somequery&size=10.4",
            {"item_id": 1000, "q": "somequery", "size": 10.4},
        ),
    ],
)
def test_read_items(client: TestClient, path, expected_response):
    response = client.get(path)

                },
                "Item": {
                    "title": "Item",
                    "required": ["title", "size"],
                    "type": "object",
                    "properties": {
                        "title": {"title": "Title", "type": "string"},
                        "size": {"title": "Size", "type": "integer"},
                    },
                },
                "ValidationError": {

                                "type": "string",
                                "default": "plane",
                            },
                            "size": {"title": "Size", "type": "integer"},
                        },
                    },
                    "CarItem": {
                        "title": "CarItem",
                        "required": ["description"],

    """

    file: Annotated[
        BinaryIO,
        Doc("The standard Python file object (non-async)."),
    ]
    filename: Annotated[Optional[str], Doc("The original file name.")]
    size: Annotated[Optional[int], Doc("The size of the file in bytes.")]
    headers: Annotated[Headers, Doc("The headers of the request.")]
    content_type: Annotated[
        Optional[str], Doc("The content type of the request, from the headers.")
    ]

    return {"file_size": len(p)}


@app.post("/required-uploadfile", operation_id="required_uploadfile")
async def read_required_uploadfile(p: Annotated[UploadFile, File()]):
    return {"file_size": p.size}


@pytest.mark.parametrize(
    "path",
    [
        "/required-bytes",
        "/required-uploadfile",
    ],
)
def test_required_schema(path: str):
    openapi = app.openapi()

@app.post("/optional-uploadfile", operation_id="optional_uploadfile")
async def read_optional_uploadfile(p: Annotated[Optional[UploadFile], File()] = None):
    return {"file_size": p.size if p else None}


@pytest.mark.parametrize(
    "path",
    [
        "/optional-bytes",
        "/optional-uploadfile",
    ],
)
def test_optional_schema(path: str):
    openapi = app.openapi()

    return {"file_size": [len(file) for file in p]}


@app.post("/list-uploadfile", operation_id="list_uploadfile")
async def read_list_uploadfile(p: Annotated[list[UploadFile], File()]):
    return {"file_size": [file.size for file in p]}


@pytest.mark.parametrize(
    "path",
    [
        "/list-bytes",
        "/list-uploadfile",
    ],
)
def test_list_schema(path: str):
    openapi = app.openapi()

@app.post("/optional-list-uploadfile")
async def read_optional_list_uploadfile(
    p: Annotated[Optional[list[UploadFile]], File()] = None,
):
    return {"file_size": [file.size for file in p] if p else None}


@pytest.mark.parametrize(
    "path",
    [
        "/optional-list-bytes",
        "/optional-list-uploadfile",
    ],
)
def test_optional_list_schema(path: str):

        with:
          mode: simulation
          run: coverage run -m pytest tests/ --codspeed
      # Do not store coverage for all possible combinations to avoid file size max errors in Smokeshow
      - name: Store coverage files
        if: matrix.coverage == 'coverage'
        uses: actions/upload-artifact@v5
        with:

# Old config for backward compatibility
common:nvcc_clang --config=cuda_nvcc

# Debug config
common:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.