status_code: Optional[int] = None,
        tags: Optional[list[Union[str, Enum]]] = None,
        dependencies: Optional[Sequence[params.Depends]] = None,
        summary: Optional[str] = None,
        description: Optional[str] = None,
        response_description: str = "Successful Response",
        responses: Optional[dict[Union[int, str], dict[str, Any]]] = None,

                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            },
            "/path/int/{item_id}": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",

    response = client.get("/query/int/default")
    assert response.status_code == 200
    assert response.json() == "foo bar 10"


def test_query_int_default_query_50():
    response = client.get("/query/int/default?query=50")
    assert response.status_code == 200
    assert response.json() == "foo bar 50"


def test_query_int_default_query_foo():
    response = client.get("/query/int/default?query=foo")

        ge: Optional[float] = None,
        lt: Optional[float] = None,
        le: Optional[float] = None,
        min_length: Optional[int] = None,
        max_length: Optional[int] = None,
        pattern: Optional[str] = None,
        regex: Annotated[
            Optional[str],
            deprecated(
                "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
            ),

    response = client.get("/path/param-le-int/3")
    assert response.status_code == 200
    assert response.json() == 3


def test_path_param_le_int_2():
    response = client.get("/path/param-le-int/2")
    assert response.status_code == 200
    assert response.json() == 2


def test_path_param_le_int_2_7():
    response = client.get("/path/param-le-int/2.7")
    assert response.status_code == 422

    maxLength: Optional[int] = Field(default=None, ge=0)
    minLength: Optional[int] = Field(default=None, ge=0)
    pattern: Optional[str] = None
    maxItems: Optional[int] = Field(default=None, ge=0)
    minItems: Optional[int] = Field(default=None, ge=0)
    uniqueItems: Optional[bool] = None
    maxContains: Optional[int] = Field(default=None, ge=0)
    minContains: Optional[int] = Field(default=None, ge=0)

            """
        ),
    ] = None,
    min_length: Annotated[
        Optional[int],
        Doc(
            """
            Minimum length for strings.
            """
        ),
    ] = None,
    max_length: Annotated[
        Optional[int],
        Doc(
            """
            Maximum length for strings.
            """
        ),
    ] = None,

    """

    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.")
    ]

# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.

def dep_a():
    return 40


def dep_b(a: Annotated[int, Depends(dep_a)]):
    return a + 2


class ItemIn(BaseModel):
    name: str
    value: int


class ItemOut(BaseModel):
    name: str
    value: int
    dep: int


class LargeIn(BaseModel):
    items: list[dict[str, Any]]
    metadata: dict[str, Any]