assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["path", "item_id"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "foobar",
            }
        ]
    }


def test_path_int_True():
    response = client.get("/path/int/True")

    assert response.json() == {
        "detail": [
            {
                "type": "greater_than",
                "loc": ["body", 0, "age"],
                "msg": "Input should be greater than 0",
                "input": -1.0,
                "ctx": {"gt": 0},
            }
        ]
    }


def test_put_incorrect_body_multiple():

    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "int_parsing",
                "loc": ["query", "query"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "42.5",
            }
        ]
    }


def test_query_int_query_baz():
    response = client.get("/query/int?query=baz")

                    "loc": ["query", "limit"],
                    "msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",
                    "input": "-1",

                "loc": ["query", "q", 0],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "five",
            },
            {
                "type": "int_parsing",
                "loc": ["query", "q", 1],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "six",
            },

                    "loc": ["query", "limit"],
                    "msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",
                    "input": "-1",

            if it should exclude from the output the fields that had the same default
            value, even when they were explicitly set.
            """
        ),
    ] = False,
    exclude_none: Annotated[
        bool,
        Doc(
            """
            Pydantic's `exclude_none` parameter, passed to Pydantic models to define

    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "float_parsing",
                "loc": ["body", "price"],
                "msg": "Input should be a valid number, unable to parse string as a number",
                "input": "twenty",
            }
        ]
    }


def test_post_with_no_data(client: TestClient):

                "loc": ["query", "skip"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "a",
            },
            {
                "type": "int_parsing",
                "loc": ["query", "limit"],
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "input": "b",
            },

                body=e.doc,
                endpoint_ctx=endpoint_ctx,
            )
            raise validation_error from e
        except HTTPException:
            # If a middleware raises an HTTPException, it should be raised again
            raise
        except Exception as e:
            http_error = HTTPException(
                status_code=400, detail="There was an error parsing the body"
            )