from fastapi.exceptions import ResponseValidationError
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/invalid", response_model=Item)
def get_invalid():
    return {"name": "invalid", "price": "foo"}

        // Use reflection to access protected method
        final java.lang.reflect.Method method =
                CrawlerThread.class.getDeclaredMethod("storeChildUrl", String.class, String.class, float.class, int.class);
        method.setAccessible(true);
        method.invoke(crawlerThread, "http://example.com/child", "http://example.com/", 1.0f, 2);

        verify(urlQueueService, times(1)).offerAll(anyString(), any());

            final Pair<String, Float> pair = new Pair<>();
            final String[] values = s.split(":");
            if (values.length == 1) {
                pair.setFirst(values[0].trim());
                pair.setSecond(1.0f);
            } else if (values.length > 1) {
                pair.setFirst(values[0]);
                pair.setSecond(Float.parseFloat(values[1]));
            } else {

     *
     * <p>It is strongly encouraged to use {@link #add(String, float)} instead and give value a
     * readable name.
     *
     * @since 18.0 (since 11.0 as {@code Objects.ToStringHelper.addValue()}).
     */
    @CanIgnoreReturnValue
    public ToStringHelper addValue(float value) {
      return addUnconditionalHolder(String.valueOf(value));
    }

    /**

* `le`: `l`ess than or `e`qual (менше або дорівнює)

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py39.py hl[10] *}

## Валідація числових даних: float, більше ніж і менше ніж

Валідація чисел також працює для значень типу `float`.

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Product(BaseModel):
    name: str
    description: str = None  # type: ignore
    price: float


@app.get("/product")
async def create_item(product: Product):
    return product


client = TestClient(app)


def test_get_with_body():

  @Override
  void writeShort(int v);

  @Override
  void writeChar(int v);

  @Override
  void writeInt(int v);

  @Override
  void writeLong(long v);

  @Override
  void writeFloat(float v);

  @Override
  void writeDouble(double v);

  @Override
  void writeChars(String s);

  @Override
  void writeUTF(String s);

  /**

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

                title="<la:message key="labels.dashboard_plugin" />"></iframe>
    </main>

    <jsp:include page="/WEB-INF/view/common/admin/footer.jsp"></jsp:include>
</div>
<jsp:include page="/WEB-INF/view/common/admin/foot.jsp"></jsp:include>
</body>

    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer maxSize;

    /**
     * The boost score for matched results.
     */
    @Required
    @ValidateTypeFailure
    public Float boost;

    /**
     * The virtual host for the key match.
     */
    @Size(max = 1000)
    public String virtualHost;

    /**
     * The user who created this key match.
     */
    @Size(max = 255)