}

	etag, err := hex.DecodeString(prefix)
	if err != nil {
		return nil, err
	}
	partNumber, err := strconv.Atoi(suffix[1:]) // suffix[0] == '-' Therefore, we start parsing at suffix[1]
	if err != nil {
		return nil, err
	}
	if strict && (partNumber == 0 || partNumber > 10000) {
		return nil, fmt.Errorf("etag: invalid part number %d", partNumber)
	}

	go func() {
		for !releaseAll(ctx, dm.clnt, tolerance, owner, &locks, isReadLock, restClnts, dm.Names...) {
			time.Sleep(time.Duration(dm.rng.Float64() * float64(dm.lockRetryMinInterval)))
			// If we have been waiting for more than the force unlock timeout, return
			// Remotes will have canceled due to the missing refreshes anyway.
			if time.Since(started) > dm.clnt.Timeouts.UnlockCall {
				return
			}
		}
	}()
}

**FastAPI** is all based on these type hints, they give it many advantages and benefits.

But even if you never use **FastAPI**, you would benefit from learning a bit about them.

/// note

If you are a Python expert, and you already know everything about type hints, skip to the next chapter.

///

## Motivation { #motivation }

Let's start with a simple example:

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>關於指令 <code>uvicorn main:app --reload</code>...</summary>

該指令 `uvicorn main:app` 指的是：

* Start the title with a verb. For example `Add`, `Refactor`, `Fix`, etc. This way the title will say the action that the PR does. Like `Add support for teleporting`, instead of `Teleporting wasn't working, so this PR fixes it`.
* Edit the text of the PR title to start in "imperative", like giving an order. So, instead of `Adding support for teleporting` use `Add support for teleporting`.

### Memória do servidor { #server-memory }

Por exemplo, se seu código carrega um modelo de Machine Learning com **1 GB de tamanho**, quando você executa um processo com sua API, ele consumirá pelo menos 1 GB de RAM. E se você iniciar **4 processos** (4 trabalhadores), cada um consumirá 1 GB de RAM. Então, no total, sua API consumirá **4 GB de RAM**.

result = channel.queue_declare(exclusive=False)
queue_name = result.method.queue

channel.queue_bind(exchange='bucketevents',
                   queue=queue_name)

print(' [*] Waiting for logs. To exit press CTRL+C')

def callback(ch, method, properties, body):
    print(" [x] %r" % body)

channel.basic_consume(callback,
                      queue=queue_name,

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>О команде <code>fastapi dev main.py</code>...</summary>

		c.reconnectMu.Lock()
		remoteUUID := uuid.UUID(r.ID)
		if c.remoteID != nil {
			c.reconnected()
		}
		c.remoteID = &remoteUUID
		if debugPrint {
			fmt.Println(c.Local, "Connected Waiting for Messages")
		}
		// Handle messages...
		c.handleMessages(c.ctx, conn)
		// Reconnect unless we are shutting down (debug only).
		if c.State() == StateShutdown {
			conn.Close()
			return
		}

		}

		// Verify whether the bucket obtained object is same as the one created.
		actualError := &APIErrorResponse{}
		if err = xml.Unmarshal(actualContent, actualError); err != nil {
			t.Fatalf("Test %d: %s: Failed parsing response body: <ERROR> %v", i+1, instanceType, err)
		}

		if path.Clean(actualError.Resource) != pathJoin(SlashSeparator, testCase.bucketName, testCase.objectName) {