# Дополнительные типы данных { #extra-data-types }

До сих пор вы использовали простые типы данных, такие как:

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

Но вы также можете использовать и более сложные типы.

При этом у вас останутся те же возможности, что и до сих пор:

* Отличная поддержка редактора кода.
* Преобразование данных из входящих запросов.
* Преобразование данных для ответа.
* Валидация данных.

data-validation-allowing"]="range["+j+";"+i+"]",0!==j.indexOf("-")&&0!==i.indexOf("-")||(h["data-validation-allowing"]+=",negative"),(j.indexOf(".")>-1||i.indexOf(".")>-1||k.indexOf(".")>-1)&&(h["data-validation-allowing"]+=",float")):h["data-validation-allowing"]+=",float,negative"}if(e.attr("pattern")&&(b.push("custom"),h["data-validation-regexp"]=e.attr("pattern")),e.attr("maxlength")&&(b.push("length"),h["data-validation-length"]="max"+e.attr("maxlength")),!c&&e.attr("list")){var l=[],m=a("#...

from fastapi.testclient import TestClient
from inline_snapshot import snapshot


@dataclass
class Item:
    id: uuid.UUID
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.get("/item", response_model=Item)
async def read_item():
    return {
        "id": uuid.uuid4(),

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

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

    public String getCreatedBy() {

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

    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.

     * @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);
    }

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

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

        }
      }
    }
  }
}
"""


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