from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", status_code=status.HTTP_201_CREATED)
async def create_item(item: Item) -> Item:

Supposons que vous n'ayez qu'un seul paramètre `item` dans le corps de la requête, provenant d'un modèle Pydantic `Item`.

Par défaut, **FastAPI** attendra alors son contenu directement.

/**
 * @author Chris Povirk
 */
@GwtCompatible
@NullUnmarked
final class TestPlatform {
  static boolean intsCanGoOutOfRange() {
    return false;
  }

  static boolean isAndroid() {
    return System.getProperty("java.runtime.name", "").contains("Android");
  }

  private TestPlatform() {}

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version

					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-6">
					<la:select property="lang" styleId="langSearchOption" multiple="true" styleClass="form-control">
						<c:forEach var="item" items="${langItems}">
							<la:option value="${f:u(item.value)}">${f:h(item.label)}</la:option>
						</c:forEach>
					</la:select>
				</div>
			</div>
			<c:if test="${displayLabelTypeItems}">
				<div class="mb-3 row">

        // Verify token content at the security buffer offset
        int securityBufferOffset = SMBUtil.readInt2(buffer, bodyOffset + 12);
        byte[] actualToken = new byte[TEST_TOKEN.length];
        System.arraycopy(buffer, headerStart + securityBufferOffset, actualToken, 0, TEST_TOKEN.length);
        assertArrayEquals(TEST_TOKEN, actualToken);
    }

    @Test

async def read_user_item(
    user_id: int, item_id: str, q: str | None = None, short: bool = False
):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


@app.post("/items/", response_model=ResponseMessage)
async def create_item(item: Item):
    return {"message": "item received"}


@app.get("/items/", response_model=list[Item])
async def get_items():
    return [

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.job;

/**
 * Abstract base class for job executors that handle script execution within the job system.
 * This class provides a framework for executing scripts and managing shutdown operations.
 */
public abstract class JobExecutor {
    /** Listener to handle shutdown events */

        .build();

    try (Response response = client.newCall(request).execute()) {
      if (!response.isSuccessful()) throw new IOException("Unexpected code " + response);

      System.out.println(response.body().string());
    }
  }

  public static void main(String... args) throws Exception {
    new PreemptiveAuth().run();
  }