*
     * @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));

/**
 * @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 {

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

    assertTrue(isNumber.apply(Float.class));
  }

  @J2ktIncompatible
  @GwtIncompatible // Predicates.subtypeOf
  public void testSubtypeOf_interface() {
    Predicate<Class<?>> isComparable = Predicates.subtypeOf(Comparable.class);

    assertTrue(isComparable.apply(Integer.class));
    assertTrue(isComparable.apply(Float.class));
  }

  @J2ktIncompatible

pkg math/big, method (*Int) SetUint64(uint64) *Int
pkg math/big, method (*Int) Uint64() uint64
pkg math/big, method (*Int) UnmarshalJSON([]uint8) error
pkg math/big, method (*Rat) Float64() (float64, bool)
pkg math/big, method (*Rat) SetFloat64(float64) *Rat
pkg mime/multipart, method (*Writer) SetBoundary(string) error
pkg net, const FlagBroadcast = 2
pkg net, const FlagLoopback = 4
pkg net, const FlagMulticast = 16

    @Override
    protected String getQueryClassName() {
        return BoostQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final BoostQuery boostQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("BoostQuery: query={}, boost={}", query, boost);
            }

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

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Union[str, None] = None
    customer: str
    total: float


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


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

<%@page pageEncoding="UTF-8" contentType="text/html; charset=UTF-8"%>
<ol class="breadcrumb float-sm-right">
	<c:if test="${crudMode == null}">
		<li class="breadcrumb-item active"><la:message key="labels.crud_link_list" /></li>
	</c:if>
	<c:if test="${crudMode != null}">
		<li class="breadcrumb-item"><la:link href="../list">
				<la:message key="labels.crud_link_list" />
			</la:link></li>
	</c:if>
	<c:if test="${crudMode == 1}">

                "input": "True",
            }
        ]
    }


def test_path_float_42():
    response = client.get("/path/float/42")
    assert response.status_code == 200
    assert response.json() == 42


def test_path_float_42_5():
    response = client.get("/path/float/42.5")
    assert response.status_code == 200
    assert response.json() == 42.5


def test_path_bool_foobar():