listOf(
        // We pass the 'maxParallelForks' setting as 'workers.max' to limit the maximum number of executers even
        // if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks)

	if err != nil {
		t.Fatalf("failed to create HTTP request for Put Object: <ERROR> %v", err)
	}

	// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.
	// Call the ServeHTTP to execute the handler.
	apiRouter.ServeHTTP(rec, req)

	ctx, cancel := context.WithCancel(GlobalContext)
	defer cancel()

Internamente, **FastAPI CLI** usa <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, um servidor ASGI de alta performance e pronto para produção. 😎

## `fastapi dev`

Quando você roda `fastapi dev`, isso vai executar em modo de desenvolvimento.

  }

  private operator fun get(url: HttpUrl) {
    val call =
      client.newCall(
        Request.Builder()
          .url(url)
          .build(),
      )
    val response = call.execute()
    response.body.close()
  }

func (cfg *IptablesConfigurator) executeCommands(log *istiolog.Scope, iptablesBuilder *builder.IptablesRuleBuilder) error {
	var execErrs []error

	// Execute iptables-restore
	execErrs = append(execErrs, cfg.executeIptablesRestoreCommand(log, iptablesBuilder.BuildV4Restore(), &cfg.iptV))
	// Execute ip6tables-restore
	if cfg.cfg.EnableIPv6 {
		execErrs = append(execErrs, cfg.executeIptablesRestoreCommand(log, iptablesBuilder.BuildV6Restore(), &cfg.ipt6V))

	}
	// "Envoy" applies despite this being ztunnel
	result, err := kubeClient.EnvoyDoWithPort(context.TODO(), podName, podNamespace, "POST", path, port)
	if err != nil {
		return "", fmt.Errorf("failed to execute command on Ztunnel: %v", err)
	}
	return string(result), nil
}

// getComponentPodName returns the pod name and namespace of the Istio component

2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

///

## Write the callback documentation code

This code won't be executed in your app, we only need it to *document* how that *external API* should look like.

But, you already know how to easily create automatic documentation for an API with **FastAPI**.

Prefira utilizar a versão `Annotated` se possível.

///

```Python hl_lines="2  6  10"
{!> ../../docs_src/security/tutorial006.py!}
```

////

Quando você tentar abrir a URL pela primeira vez (ou clicar no botão "Executar" nos documentos) o navegador vai pedir pelo seu usuário e senha:

<img src="/img/tutorial/security/image12.png">

## Verifique o usuário

Aqui está um exemplo mais completo.

    client =
      client.newBuilder()
        .addNetworkInterceptor(
          Interceptor { chain: Interceptor.Chain? ->
            throw AssertionError() // Network interceptors don't execute.
          },
        )
        .build()
    webServer.enqueue(
      MockResponse.Builder()
        .webSocketUpgrade(serverListener)
        .build(),
    )