@app.on_event("startup")
async def startup_event():
    items["foo"] = {"name": "Fighters"}
    items["bar"] = {"name": "Tenders"}


@app.get("/items/{item_id}")
async def read_items(item_id: str):
    return items[item_id]


def test_read_items():
    with TestClient(app) as client:
        response = client.get("/items/foo")
        assert response.status_code == 200

    return {"q": q, "skip": skip, "limit": limit}


CommonsDep = Annotated[dict, Depends(common_parameters)]


@app.get("/items/")
async def read_items(commons: CommonsDep):
    return commons


@app.get("/users/")
async def read_users(commons: CommonsDep):

    }

    @Override
    public boolean containsKey(@Nullable Object key) {
      return get(key) != null;
    }

    @Override
    public @Nullable V get(@Nullable Object key) {
      if (key instanceof Range) {
        Range<?> range = (Range<?>) key;
        RangeMapEntry<K, V> rangeMapEntry = entriesByLowerBound.get(range.lowerBound);
        if (rangeMapEntry != null && rangeMapEntry.getKey().equals(range)) {

{* ../../docs_src/first_steps/tutorial001_py310.py hl[6] *}

`@app.get("/")` 告訴 **FastAPI** 那個函式負責處理請求：

* 路徑 `/`
* 使用 <dfn title="HTTP GET 方法"><code>get</code> 操作</dfn>

/// info | `@decorator` 說明

Python 中的 `@something` 語法被稱為「裝飾器」。

你把它放在一個函式上面。像一個漂亮的裝飾帽子（我猜這是術語的來源）。

一個「裝飾器」會對下面的函式做一些事情。

在這種情況下，這個裝飾器告訴 **FastAPI** 那個函式對應於 **路徑** `/` 和 **操作** `get`。

這就是「**路徑操作裝飾器**」。

///

你也可以使用其他的操作：

        }

        return leaseKey;
    }

    /**
     * Get cache entry for a directory
     *
     * @param directoryPath directory path
     * @return cache entry or null
     */
    public DirectoryCacheEntry getCacheEntry(String directoryPath) {
        DirectoryCacheEntry entry = directoryCache.get(directoryPath);

        // Check if cache entry is valid

import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentSkipListMap;
import org.jspecify.annotations.NullUnmarked;

/**
 * A microbenchmark that tests the performance of get() and iteration on various map
 * implementations. Forked from {@link SetContainsBenchmark}.
 *
 * @author Nicholaus Shupe
 */
@NullUnmarked
public class MapBenchmark {

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server
    * **Starlette**: (uses Uvicorn) a web microframework

    responses={404: {"description": "Not found"}},
)


fake_items_db = {"plumbus": {"name": "Plumbus"}, "gun": {"name": "Portal Gun"}}


@router.get("/")
async def read_items():
    return fake_items_db


@router.get("/{item_id}")
async def read_item(item_id: str):
    if item_id not in fake_items_db:
        raise HTTPException(status_code=404, detail="Item not found")

            return response

        return custom_route_handler


app = FastAPI()
router = APIRouter(route_class=TimedRoute)


@app.get("/")
async def not_timed():
    return {"message": "Not timed"}


@router.get("/timed")
async def timed():
    return {"message": "It's the time of my life"}

      while (true) {
        try {
          return future.get();
        } catch (InterruptedException e) {
          interrupted = true;
        }
      }
    } finally {
      if (interrupted) {
        Thread.currentThread().interrupt();
      }
    }
  }

  /**
   * Invokes {@code future.}{@link Future#get(long, TimeUnit) get(timeout, unit)} uninterruptibly.
   *
   * <p>Similar methods: