}
            ]
        }
    )


@needs_py310
def test_post_with_only_name_price(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "twenty"})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "float_parsing",

                }
            ]
        }
    )


def test_post_with_only_name_price(client: TestClient):
    response = client.post("/items/", json={"name": "Foo", "price": "twenty"})
    assert response.status_code == 422
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "float_parsing",

		return fmt.Errorf("Invalid key checksum, want %x, got %x", want, got)
	}

	stream, err := sio.AES_256_GCM.Stream(key)
	if err != nil {
		return err
	}
	// Zero nonce, we only use each key once, and 32 bytes is plenty.
	nonce := make([]byte, stream.NonceSize())
	encr := stream.DecryptReader(r, nonce, nil)
	_, err = io.Copy(w, encr)
	if err == nil {
		fmt.Println(okMsg)
	}
	return err

		}
	}
	return
}

// Put returns the given Buffer to the BytePool.
func (bp *BytePoolCap) Put(b []byte) {
	if bp == nil {
		return
	}
	select {
	case bp.c <- b:
		// buffer went back into pool
	default:
		// buffer didn't go back into pool, just discard
	}
}

// Width returns the width of the byte arrays in this pool.
func (bp *BytePoolCap) Width() (n int) {
	if bp == nil {
		return 0

* Wsparcie dla **WebSocket**.
* <abbr title='Zadania wykonywane w tle, bez zatrzymywania żądań, w tym samym procesie. Po angielsku: In-process background tasks'>Zadania w tle</abbr>.
* Eventy startup i shutdown.
* Klient testowy zbudowany na bazie biblioteki `requests`.
* **CORS**, GZip, pliki statyczne, streamy.
* Obsługa **sesji i ciasteczek**.
* 100% pokrycie testami.
* 100% adnotacji typów.

                    result.addMissingArtifact(artifact);
                }
            } catch (ArtifactResolutionException e) {
                // This is really a wagon TransferFailedException so something went wrong after we successfully
                // retrieved the metadata.

                synchronized (result) {
                    result.addErrorArtifactException(e);
                }
            } finally {

In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.

Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.

The important thing is that by using standard Python types, in a single place (instead of adding more classes, decorators, etc), **FastAPI** will do a lot of the work for you.

!!! info

			w.Write(key[:])
		}

		stream, err := sio.AES_256_GCM.Stream(key[:])
		if err != nil {
			bugLogIf(ctx, err)
			return
		}
		// Zero nonce, we only use each key once, and 32 bytes is plenty.
		nonce := make([]byte, stream.NonceSize())
		encw := stream.EncryptWriter(w, nonce, nil)
		defer encw.Close()

		// Initialize a zip writer which will provide a zipped content