JAVACMD="$(
      \unset -f command 2>/dev/null
      \command -v java
    )"
  fi
fi

if [ ! -x "$JAVACMD" ]; then
  echo "Error: JAVA_HOME is not defined correctly." >&2
  echo "  We cannot execute $JAVACMD" >&2
  exit 1
fi

if [ -z "$JAVA_HOME" ]; then
  echo "Warning: JAVA_HOME environment variable is not set." >&2
fi

# traverses directory structure from process work directory to filesystem root

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

    print(" [x] %r" % body)

channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=False)

channel.start_consuming()
```

Execute this example python program to watch for RabbitMQ events on the console.

```py
python rabbit.py
```

Open another terminal and upload a JPEG image into `images` bucket.

```

 * <p>As an example, imagine that we have a list of tasks to execute, but we don't want to submit
 * more than 2 per second:
 *
 * <pre>{@code
 * final RateLimiter rateLimiter = RateLimiter.create(2.0); // rate is "2 permits per second"
 * void submitTasks(List<Runnable> tasks, Executor executor) {
 *   for (Runnable task : tasks) {
 *     rateLimiter.acquire(); // may wait
 *     executor.execute(task);
 *   }
 * }
 * }</pre>
 *

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

then it is a "callable".

## Classes as dependencies

      .containsExactly("CallStart", "CallStart", "CallFailed")
  }

  private fun makeSynchronousCall(call: Call): Thread {
    val thread =
      Thread {
        try {
          call.execute()
          throw AssertionError()
        } catch (expected: IOException) {
        }
      }
    thread.start()
    return thread
  }

  private fun newRequest(url: String): Request {

    serverSocket!!.reuseAddress = inetSocketAddress.port != 0
    serverSocket!!.bind(inetSocketAddress, 50)

    portField = serverSocket!!.localPort

    taskRunner.newQueue().execute("MockWebServer $portField", cancelable = false) {
      try {
        logger.fine("$this starting to accept connections")
        acceptConnections()
      } catch (e: Throwable) {

    listeners.addListener(listener, executor);
  }

  @Override
  public String toString() {
    return getClass().getSimpleName() + " [" + state() + "]";
  }

  /**
   * Attempts to execute all the listeners in {@link #listeners} while not holding the {@link
   * #monitor}.
   */
  private void dispatchListenerEvents() {
    if (!monitor.isOccupiedByCurrentThread()) {
      listeners.dispatch();
    }

Note o `.` no final, é equivalente a `./`, ele diz ao Docker o diretório a ser usado para construir a imagem do contêiner.

Nesse caso, é o mesmo diretório atual (`.`).

///

### Inicie o contêiner Docker

* Execute um contêiner baseado na sua imagem:

<div class="termy">

```console
$ docker run -d --name mycontêiner -p 80:80 myimage
```

</div>

## Verifique

        preCommands(context);
        container(context);
        lookup(context);
        init(context);
        postCommands(context);
        settings(context);
        return execute(context);
    }

    protected InvokerException handleException(LookupInvokerContext<O, R, C> context, Exception e)
            throws InvokerException {