participant Client

    App->>App: Produce Item 1
    App->>Client: Send Item 1
    App->>App: Produce Item 2
    Client->>Client: Process Item 1
    App->>Client: Send Item 2
    App->>App: Produce Item 3
    Client->>Client: Process Item 2
    App->>Client: Send Item 3
    Client->>Client: Process Item 3
    Note over App: Keeps producing...
    Note over Client: Keeps consuming...
```

データを送り続ける無限ストリームにすることもできます。

        final AEADBlockCipher cipher = createCCMCipher(true, nonce, associatedData.length, message.length);

        // Process AAD (not included in output)
        cipher.processAADBytes(associatedData, 0, associatedData.length);

        // Process message (will be encrypted)
        final byte[] output = new byte[cipher.getOutputSize(message.length)];

These examples run the server program (e.g Uvicorn), starting **a single process**, listening on all the IPs (`0.0.0.0`) on a predefined port (e.g. `80`).

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

3. **A relationship, not a transaction.** We view community PRs as an important part of our relationship with the Gradle community. We hope contributors will learn from the review process, stay engaged, and continue helping us build Gradle.

## In summary

We welcome AI-assisted contributions from people who understand what they're submitting and are ready to collaborate on it.

### TODO

In subsequent releases we are planning to extend this to provide things like

- Reload() of MinIO server arguments without fully restarting the process.

- Expanding 1 node at a time by automating the process of creating a new pool
  and decommissioning to provide a functionality that smaller deployments
  care about.

 * will prefer pooled connections. Only pooled HTTP/2 connections are used for such de-duplication.
 *
 * It is possible to cancel the finding process by canceling its call.
 *
 * Implementations of this interface are not thread-safe. Each instance is thread-confined to the
 * thread executing the call.
 */
interface RoutePlanner {
  val address: Address

                requestBuilder.prefix(normalizedPrefix);
            }

            final ListObjectsV2Response response = s3Client.listObjectsV2(requestBuilder.build());

            // Process common prefixes (directories)
            for (final CommonPrefix commonPrefix : response.commonPrefixes()) {
                final String dirName = getName(commonPrefix.prefix());

          val coordinatorTask = waitingCoordinatorTask ?: error("no coordinator waiting")
          currentTask = coordinatorTask
          taskRunner.notifyAll()
        }
      }

    // Let the coordinator process its interruption.
    runTasks()
  }

  /** Ask a single task to proceed. Used by the test thread only. */
  fun runNextTask() {
    taskRunner.assertLockNotHeld()

    taskRunner.withLock {

	}
}

func TestExtractHostPort(t *testing.T) {
	testCases := []struct {
		addr        string
		host        string
		port        string
		expectedErr error
	}{
		{"", "", "", errors.New("unable to process empty address")},
		{"localhost:9000", "localhost", "9000", nil},
		{"http://:9000/", "", "9000", nil},
		{"http://8.8.8.8:9000/", "8.8.8.8", "9000", nil},
		{"https://facebook.com:9000/", "facebook.com", "9000", nil},

## Sobre o FastAPI Cloud { #about-fastapi-cloud }

O **[FastAPI Cloud](https://fastapicloud.com)** é desenvolvido pelo mesmo autor e equipe por trás do **FastAPI**.

Ele simplifica o processo de **criar**, **implantar** e **acessar** uma API com esforço mínimo.

Traz a mesma **experiência do desenvolvedor** de criar aplicações com FastAPI para **implantá-las** na nuvem. 🎉