throwIf(OPEN_THROWS);
  }

  public boolean closed() {
    return closed;
  }

  @Override
  public void write(byte[] b, int off, int len) throws IOException {
    throwIf(closed);
    throwIf(WRITE_THROWS);
    super.write(b, off, len);
  }

  @Override
  public void write(int b) throws IOException {
    throwIf(closed);
    throwIf(WRITE_THROWS);
    super.write(b);
  }

  @Override

     * returns -1 if none is available.
     * @return the current line number
     */
    int getLineNumber();

    /**
     * Return the column number where the current event ends,
     * returns -1 if none is available.
     * @return the current column number
     */
    int getColumnNumber();

    /**
     * Return the byte or character offset into the input source this location

---

Другой полезный случай - когда вы хотите чтобы ключи были другого типа данных, например, `int`.

Именно это мы сейчас и увидим здесь.

В этом случае вы принимаете `dict`, пока у него есть ключи типа `int` со значениями типа `float`:

//// tab | Python 3.9+

```Python hl_lines="7"
{!> ../../docs_src/body_nested_models/tutorial009_py39.py!}
```

일부 타입의 키와 다른 타입의 값을 사용하여 `dict`로 본문을 선언할 수 있습니다.

(Pydantic을 사용한 경우처럼) 유효한 필드/어트리뷰트 이름이 무엇인지 알 필요가 없습니다.

아직 모르는 키를 받으려는 경우 유용합니다.

---

다른 유용한 경우는 다른 타입의 키를 가질 때입니다. 예. `int`.

여기서 그 경우를 볼 것입니다.

이 경우, `float` 값을 가진 `int` 키가 있는 모든 `dict`를 받아들입니다:

```Python hl_lines="15"
{!../../docs_src/body_nested_models/tutorial009.py!}
```

/// tip | "팁"

JSON은 오직 `str`형 키만 지원한다는 것을 염두에 두세요.

This would be useful if you want to receive keys that you don't already know.

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

//// tab | Python 3.9+

```Python hl_lines="7"
{!> ../../docs_src/body_nested_models/tutorial009_py39.py!}
```

  static byte[] newPreFilledByteArray(int size) {
    return newPreFilledByteArray(0, size);
  }

  /** Returns a byte array of length size that has values offset .. offset + size - 1. */
  static byte[] newPreFilledByteArray(int offset, int size) {
    byte[] array = new byte[size];
    for (int i = 0; i < size; i++) {
      array[i] = (byte) (offset + i);
    }
    return array;

func OpenFileDirectIO(filePath string, flag int, perm os.FileMode) (*os.File, error) {
	return os.OpenFile(filePath, flag, perm)
}

// DisableDirectIO is a no-op
func DisableDirectIO(f *os.File) error {
	return nil
}

// AlignedBlock simply returns an unaligned buffer
// for systems that do not support DirectIO.
func AlignedBlock(blockSize int) []byte {
	return make([]byte, blockSize)

import jakarta.validation.ConstraintValidator;
import jakarta.validation.ConstraintValidatorContext;

public class CustomSizeValidator implements ConstraintValidator<CustomSize, CharSequence> {
    private int min = 0;
    private int max = Integer.MAX_VALUE;
    private String message;

    @Override
    public void initialize(final CustomSize constraintAnnotation) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

    assertEquals(OBJECT, Atomics.newReference(OBJECT).get());
  }

  public void testNewReferenceArray_withLength() throws Exception {
    int length = 42;
    AtomicReferenceArray<String> refArray = Atomics.newReferenceArray(length);
    for (int i = 0; i < length; ++i) {
      assertEquals(null, refArray.get(i));
    }
    assertThrows(IndexOutOfBoundsException.class, () -> refArray.get(length));
  }

from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal

app = FastAPI()


class FilterParams(BaseModel):
    class Config:
        extra = "forbid"

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: List[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):