return pi, toObjectErr(closeErr, bucket, object)
	}

	// Should return IncompleteBody{} error when reader has fewer bytes
	// than specified in request header.
	if n < data.Size() {
		return pi, IncompleteBody{Bucket: bucket, Object: object}
	}

	for i := range writers {
		if writers[i] == nil {
			onlineDisks[i] = nil
		}
	}

	hdr := r.opts.HeaderSize // remaining header bytes
	var tokens int           // number of tokens to request

	if hdr > 0 { // available tokens go towards header first
		if hdr < b { // all of header can be accommodated
			r.opts.HeaderSize = 0
			need = int(math.Min(float64(b-hdr), float64(need))) // use remaining tokens towards payload
			tokens = need + hdr
		} else { // part of header can be accommodated
			r.opts.HeaderSize -= b - 1

            data: Union[str, None] = Header(
                default=None,
                example="header1",
            ),
        ):
            return data

    @app.get("/header_examples/")
    def header_examples(
        data: Union[str, None] = Header(
            default=None,
            examples=[
                "header1",
                "header2",
            ],
        ),
    ):

common:windows --copt=/Zc:__cplusplus
common:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
common:windows --copt=/D_USE_MATH_DEFINES
common:windows --host_copt=/D_USE_MATH_DEFINES

# Windows has a relatively short command line limit, which TF has begun to hit.

## Pydantic 모델을 사용한 헤더 매개변수

**Pydantic 모델**에 필요한 **헤더 매개변수**를 선언한 다음, 해당 매개변수를 `Header`로 선언합니다:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI**는 요청에서 받은 **헤더**에서 **각 필드**에 대한 데이터를 **추출**하고 정의한 Pydantic 모델을 줍니다.

## 문서 확인하기

문서 UI `/docs`에서 필요한 헤더를 볼 수 있습니다:

<div class="screenshot">
<img src="/img/tutorial/header-param-models/image01.png">
</div>

## 추가 헤더 금지하기

const csvSplitSize = 128 << 10

// startReaders will read the header if needed and spin up a parser
// and a number of workers based on GOMAXPROCS.
// If an error is returned no goroutines have been started and r.err will have been set.
func (r *Reader) startReaders(newReader func(io.Reader) *csv.Reader) error {
	if r.args.FileHeaderInfo != none {
		// Read column names
		// Get one line.

///

## Параметри Заголовків з Використанням Pydantic Model

Оголосіть потрібні **параметри заголовків** у **Pydantic моделі**, а потім оголосіть параметр як `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

FastAPI буде витягувати дані для кожного поля з заголовків у запиті та передавати їх у створену Вами Pydantic модель.

	return messWith("crc32-not-streamed.zip", func(b []byte) {
		// Corrupt foo.txt's final crc32 byte, in both
		// the file header and TOC. (0x7e -> 0x7f)
		b[0x11]++
		b[0x9d]++

		// TODO(bradfitz): add a new test that only corrupts
		// one of these values, and verify that that's also an
		// error. Currently, the reader code doesn't verify the
		// fileheader and TOC's crc32 match if they're both

                                "Header One": {
                                    "summary": "Header One Summary",
                                    "description": "Header One Description",
                                    "value": "header1",
                                },
                                "Header Two": {"value": "header2"},
                            },
                        }

    val derReader = DerReader(buffer)

    derReader.read("test") { header ->
      assertThat(header.tag).isEqualTo(7L)
      assertThat(header.tagClass).isEqualTo(DerHeader.TAG_CLASS_APPLICATION)
      assertThat(header.length).isEqualTo(7L)

      derReader.read("test") { header2 ->
        assertThat(header2.tag).isEqualTo(3L)
        assertThat(header2.tagClass).isEqualTo(DerHeader.TAG_CLASS_APPLICATION)