def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>অথবা ব্যবহার করুন <code>async def</code>...</summary>

যদি আপনার কোড `async` / `await`, ব্যবহার করে তাহলে `async def` ব্যবহার করুন:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():

    val groupLength = i - groupOffset
    if (groupLength == 0) return false // No digits.

    // We've successfully read a byte.
    address[b++] = value.toByte()
  }

  // Check for too few groups. We wanted exactly four.
  return b == addressOffset + 4
}

/** Encodes an IPv6 address in canonical form according to RFC 5952. */
internal fun inet6AddressToAscii(address: ByteArray): String {

    introduced in the 5.0.0-alpha.4 release.
 *  Fix: Don't ask `Dns` implementations to resolve strings that are already IP addresses.
 *  Fix: Change fast fallback to race TCP handshakes only. To avoid wasted work, OkHttp will not
    attempt multiple TLS handshakes for the same call concurrently.
 *  Fix: Don't crash loading the public suffix database in GraalVM native images. The function

        };

        InputStreamThread thread = new InputStreamThread(is, StandardCharsets.UTF_8, 100, callback);
        thread.start();

        assertTrue("Should process all lines within timeout", latch.await(3, TimeUnit.SECONDS));

        thread.join(1000);

        assertEquals("All lines should be processed", 5000, receivedLines.size());
        assertEquals("First line", "Line number 0", receivedLines.get(0));

   * missRate =~ 1.0}. Cache misses include all requests which weren't cache hits, including
   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */

          object : WebSocketListener() {
            override fun onOpen(
              webSocket: WebSocket,
              response: Response,
            ) {
              try {
                latch.await() // The server can't respond to pings!
              } catch (e: InterruptedException) {
                throw AssertionError(e)
              }
            }
          },
        ).build(),
    )

def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>O usa <code>async def</code>...</summary>

Si tu código usa `async` / `await`, usa `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():
    return {"Hello": "World"}

    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Of maak gebruik van <code>async def</code>...</summary>

Als je code gebruik maakt van `async` / `await`, gebruik dan `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():

def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Ou use <code>async def</code>...</summary>

Se seu código utiliza `async` / `await`, use `async def`:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():
    return {"Hello": "World"}

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

/// check | Inspired **FastAPI** to