public long longValue() {
    return toLong(value);
  }

  /**
   * Returns the value of this {@code UnsignedInteger} as a {@code float}, analogous to a widening
   * primitive conversion from {@code int} to {@code float}, and correctly rounded.
   */
  @Override
  public float floatValue() {
    return longValue();
  }

  /**

* Conversión de datos
* Validación de datos
* Documentación automática

## Tipos especiales y validación { #special-types-and-validation }

Además de tipos singulares normales como `str`, `int`, `float`, etc., puedes usar tipos singulares más complejos que heredan de `str`.

    assertEquals(Long.valueOf(0), ArbitraryInstances.get(long.class));
    assertEquals(Long.valueOf(0), ArbitraryInstances.get(Long.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(float.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(Float.class));
    assertThat(ArbitraryInstances.get(double.class)).isEqualTo(Double.valueOf(0));
    assertThat(ArbitraryInstances.get(Double.class)).isEqualTo(Double.valueOf(0));

    byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};
    ByteArrayDataInput in = ByteStreams.newDataInput(data);
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x12345678));
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x76543210));
  }

  public void testNewDataInput_readDouble() {
    byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};

	//	}
	MOVB	R1, R2

	//	LMOVB addr ',' rreg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVB	foo<>+3(SB), R2
	MOVB	16(R1), R2
	MOVB	(R1), R2

	//
	// load floats
	//
	//	LFMOV addr ',' freg
	//	{
	//		outcode(int($1), &$2, 0, &$4);
	//	}
	MOVF	foo<>+3(SB), F2
	MOVF	16(R1), F2
	MOVF	(R1), F2

	//	LFMOV fimm ',' freg
	//	{
	//		outcode(int($1), &$2, 0, &$4);

        "type": "integer"
      },
      "intervalTime": {
        "type": "integer"
      },
      "timeToLive": {
        "type": "integer"
      },
      "boost": {
        "type": "float"
      },
      "available": {
        "type": "boolean"
      },
      "permissions": {
        "type": "keyword"
      },
      "virtualHosts": {
        "type": "keyword"
      },

from fastapi.responses import ORJSONResponse, UJSONResponse
from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    price: float


# ORJSON


def _make_orjson_app() -> FastAPI:
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", FastAPIDeprecationWarning)

                return queryType;
            }
        });
    }

    @Test
    public void test_build_simple() {
        setQueryType("bool");

        float titleBoost = 0.5f;
        float contentBoost = 0.05f;

        assertQuery(functionScoreQuery(simpleQuery("QUERY", titleBoost, contentBoost)), //
                Map.of("_default", List.of("QUERY")), //
                Set.of("QUERY"), //

		_, zoneOffset := t.Zone()
		return FromInt(int64((zoneOffset % 3600) / 60)), nil
	default:
		// This does not happen
		return nil, errNotImplemented
	}
}

func dateAdd(timePart string, qty float64, t time.Time) (*Value, error) {
	var duration time.Duration
	switch timePart {
	case timePartYear:
		return FromTimestamp(t.AddDate(int(qty), 0, 0)), nil
	case timePartMonth:

여기서 그 경우를 볼 것입니다.

이 경우, `int` 키와 `float` 값을 가진 한 어떤 `dict`든 받아들입니다:

{* ../../docs_src/body_nested_models/tutorial009_py310.py hl[7] *}

/// tip | 팁

JSON은 키로 `str`만 지원한다는 것을 염두에 두세요.

하지만 Pydantic은 자동 데이터 변환 기능이 있습니다.

즉, API 클라이언트는 키로 문자열만 보낼 수 있더라도, 해당 문자열이 순수한 정수를 포함하기만 하면 Pydantic이 이를 변환하고 검증합니다.

그리고 `weights`로 받는 `dict`는 실제로 `int` 키와 `float` 값을 갖게 됩니다.

///

## 요약 { #recap }