@CanIgnoreReturnValue
  public final Hasher putDouble(double d) {
    return putLong(Double.doubleToRawLongBits(d));
  }

  @Override
  @CanIgnoreReturnValue
  public final Hasher putFloat(float f) {
    return putInt(Float.floatToRawIntBits(f));
  }

  @Override
  @CanIgnoreReturnValue
  public Hasher putUnencodedChars(CharSequence charSequence) {
    for (int i = 0, len = charSequence.length(); i < len; i++) {

    Map<Float, String> m = ImmutableMap.of(4.0f, "A", 3.0f, "B", 2.0f, "C", 1.0f, "D");
    Predicate<? super Integer> h = Predicates.equalTo(42);
    Function<? super String, Integer> g = new HashCodeFunction();
    Function<Float, String> f = Functions.forMap(m, "F");

    Predicate<Float> p1 = Predicates.compose(Predicates.compose(h, g), f);
    Predicate<Float> p2 = Predicates.compose(h, Functions.compose(g, f));

# Tipos de dados extras { #extra-data-types }

Até agora, você tem usado tipos de dados comuns, tais como:

* `int`
* `float`
* `str`
* `bool`

Mas você também pode usar tipos de dados mais complexos.

E você ainda terá os mesmos recursos que viu até agora:

* Ótimo suporte do editor.
* Conversão de dados das requisições recebidas.
* Conversão de dados para os dados da resposta.
* Validação de dados.

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

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

    public String getCreatedBy() {

	if l.LogLevel <= Silent {
		return
	}

	elapsed := time.Since(begin)
	sql, rows := fc()
	fields := []slog.Attr{
		slog.String("duration", fmt.Sprintf("%.3fms", float64(elapsed.Nanoseconds())/1e6)),
		slog.String("sql", sql),
	}

	if rows != -1 {
		fields = append(fields, slog.Int64("rows", rows))
	}

	switch {

* `gt`: `g`reater `t`han
* `le`: `l`ess than or `e`qual

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

## 数値の検証: 浮動小数点、 大なり小なり { #number-validations-floats-greater-than-and-less-than }

数値のバリデーションは`float`の値に対しても有効です。

     * @return a new instance of {@link ConcurrentHashMap}
     * @see ConcurrentHashMap#ConcurrentHashMap(int, float, int)
     */
    public static <K, V> ConcurrentHashMap<K, V> newConcurrentHashMap(final int initialCapacity, final float loadFactor,
            final int concurrencyLevel) {
        return new ConcurrentHashMap<>(initialCapacity, loadFactor, concurrencyLevel);
    }

* Editör desteği (tamamlama vb.), iç içe modeller için bile
* Veri dönüştürme
* Veri doğrulama (validation)
* Otomatik dokümantasyon

## Özel tipler ve doğrulama { #special-types-and-validation }

`str`, `int`, `float` vb. normal tekil tiplerin yanında, `str`’den türeyen daha karmaşık tekil tipleri de kullanabilirsiniz.

										${f:h(fe:label(countEntry.key))}
										<span class="badge rounded-pill text-bg-secondary float-end">${f:h(countEntry.value)}</span>
								</la:link></li>
						</c:if>
					</c:forEach>
				</ul>
			</c:if>
		</c:forEach>
		<c:forEach var="facetQueryView" items="${fe:facetQueryViewList()}">

        }
      }
    }
  }
}
"""


class SponsorEntity(BaseModel):
    login: str
    avatarUrl: str
    url: str


class Tier(BaseModel):
    name: str
    monthlyPriceInDollars: float


class SponsorshipAsMaintainerNode(BaseModel):
    sponsorEntity: SponsorEntity
    tier: Tier


class SponsorshipAsMaintainerEdge(BaseModel):
    cursor: str
    node: SponsorshipAsMaintainerNode