public void setAvailable(Boolean value) {
        registerModifiedProperty("available");
        this.available = value;
    }

    public Float getBoost() {
        checkSpecifiedProperty("boost");
        return boost;
    }

    public void setBoost(Float value) {
        registerModifiedProperty("boost");
        this.boost = value;
    }

    public String getConfigParameter() {

* 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`.

  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();
  }

  /**

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

from fastapi import APIRouter, FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: str | None = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()


@invoices_callback_router.post(

     *
     * @return the boost value
     */
    @Override
    public float boost() {
        return queryBuilder.boost();
    }

    /**
     * Sets the boost value.
     *
     * @param boost the boost value to set
     * @return the query builder
     */
    @Override
    public QueryBuilder boost(final float boost) {
        return queryBuilder.boost(boost);
    }

    /**

    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));

其他有用的场景是当你想要接收其他类型的键时，例如 `int`。

这也是我们在接下来将看到的。

在下面的例子中，你将接受任意键为 `int` 类型并且值为 `float` 类型的 `dict`：

{* ../../docs_src/body_nested_models/tutorial009_py39.py hl[7] *}

/// tip

请记住 JSON 仅支持将 `str` 作为键。

但是 Pydantic 具有自动转换数据的功能。

这意味着，即使你的 API 客户端只能将字符串作为键发送，只要这些字符串内容仅包含整数，Pydantic 就会对其进行转换并校验。

然后你接收的名为 `weights` 的 `dict` 实际上将具有 `int` 类型的键和 `float` 类型的值。

///

## 总结

/**
 * @author higa
 *
 */
public class FloatConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */
    public void testToFloat() throws Exception {
        assertEquals(Float.valueOf("1000.5"), FloatConversionUtil.toFloat("1,000.5"));
    }

    /**
     * @throws Exception
     */
    public void testToPrimitiveFloat() throws Exception {

a timeout elapses. If we get bytes but there's nobody asking for them, we buffer them. We don't consider bytes as delivered for flow control until they're consumed by the application.

Consider an application streaming a video over http/2. Perhaps the user pauses the video and the application stops reading bytes from this stream. The buffer will fill up, and flow control prevents the server from sending more data on this stream. When the user unpauses her video the buffer drains, the read...