"strings"
	"text/scanner"

	"cmd/asm/internal/flags"
	"cmd/internal/objabi"
	"cmd/internal/src"
)

// Input is the main input: a stack of readers and some macro definitions.
// It also handles #include processing (by pushing onto the input stack)
// and parses and instantiates macro definitions.
type Input struct {
	Stack
	includes        []string
	beginningOfLine bool
	ifdefStack      []bool

    assert response.json() == {
        "detail": [
            {
                "type": "bool_parsing",
                "loc": ["path", "item_id"],
                "msg": "Input should be a valid boolean, unable to interpret input",
                "input": "foobar",
            }
        ]
    }


def test_path_bool_True():
    response = client.get("/path/bool/True")
    assert response.status_code == 200

    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):
    response = client.post("/items/", json={})

}

// Return S3 total input bytes
func (s *connStats) getS3InputBytes() uint64 {
	return atomic.LoadUint64(&s.s3InputBytes)
}

// Return S3 total output bytes
func (s *connStats) getS3OutputBytes() uint64 {
	return atomic.LoadUint64(&s.s3OutputBytes)
}

// Return connection stats (total input/output bytes and total s3 input/output bytes)
func (s *connStats) toServerConnStats() serverConnStats {

    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["cookie", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str(path: str):
    client = TestClient(app)

    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


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

    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "p"],
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str(path: str):

    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": IsOneOf(["body", "p"], ["body"]),
                "msg": "Field required",
                "input": IsOneOf(None, {}),
            }
        ]
    }


@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str(path: str):

}

// SplitFunc is the signature of the split function used to tokenize the
// input. The arguments are an initial substring of the remaining unprocessed
// data and a flag, atEOF, that reports whether the [Reader] has no more data
// to give. The return values are the number of bytes to advance the input
// and the next token to return to the user, if any, plus an error, if any.
//

    assert response.json() == {
        "detail": [
            {
                "loc": ["body", "name"],
                "input": {},
                "msg": "Field required",
                "type": "missing",
            },
            {
                "loc": ["body", "price"],
                "input": {},
                "msg": "Field required",
                "type": "missing",
            },
            {