* size (the final list may be smaller). For example, partitioning a list containing {@code [a, b,
   * c, d, e]} with a partition size of 3 yields {@code [[a, b, c], [d, e]]} -- an outer list
   * containing two inner lists of three and two elements, all in the original order.
   *

The closing of a channel is synchronized before a receive that returns a zero value
because the channel is closed.
</p>

<p>
In the previous example, replacing
<code>c &lt;- 0</code> with <code>close(c)</code>
yields a program with the same guaranteed behavior.
</p>

<p class="rule">
A receive from an unbuffered channel is synchronized before the completion of
the corresponding send on that channel.
</p>

<p>

   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

// empty slice if s contains only white space. Every element of the returned slice is
// non-empty. Unlike [Split], leading and trailing runs of white space characters
// are discarded.
func Fields(s []byte) [][]byte {
	// First count the fields.
	// This is an exact count if s is ASCII, otherwise it is an approximation.
	n := 0
	wasSpace := 1
	// setBits is used to track which bits are set in the bytes of s.
	setBits := uint8(0)

   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

사실, FastAPI는 내부적으로 이 두 데코레이터를 사용합니다.

///

## `yield`를 사용하는 데이터베이스 의존성

예를 들어, 이 기능을 사용하면 데이터베이스 세션을 생성하고 작업이 끝난 후에 세션을 종료할 수 있습니다.

응답을 생성하기 전에는 `yield`문을 포함하여 그 이전의 코드만이 실행됩니다:

{* ../../docs_src/dependencies/tutorial007.py hl[2:4] *}

yield된 값은 *경로 작업* 및 다른 의존성들에 주입되는 값 입니다:

{* ../../docs_src/dependencies/tutorial007.py hl[4] *}

`yield`문 다음의 코드는 응답을 생성한 후 보내기 전에 실행됩니다:

				// Note: Duplicate Columns
				{Field: &schema.Field{Name: "FieldD"}},
			},
		},
		{
			Name:  "uniq_field_e1_e2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{
				{Field: &schema.Field{Name: "FieldE1"}},
				{Field: &schema.Field{Name: "FieldE2"}},
			},
		},
		{
			Name:  "uniq_field_f1_f2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{

# Body - Поля { #body-fields }

Таким же способом, как вы объявляете дополнительную валидацию и метаданные в параметрах *функции обработки пути* с помощью функций `Query`, `Path` и `Body`, вы можете объявлять валидацию и метаданные внутри Pydantic моделей, используя функцию `Field` из Pydantic.

## Импорт `Field` { #import-field }

Сначала вы должны импортировать его:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Внимание

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

        MoreObjects.toStringHelper(new TestClass())
            .add("field1", "This is string.")
            .add("field2", Arrays.asList("abc", "def", "ghi"))
            .add("field3", map)
            .toString();
    String expected =
        "TestClass{"
            + "field1=This is string., field2=[abc, def, ghi], field3={abc=1, def=2, ghi=3}}";

    assertEquals(expected, toTest);
  }