}

  /**
   * Returns a new, empty builder for {@link ImmutableLongArray} instances, sized to hold up to
   * {@code initialCapacity} values without resizing. The returned builder is not thread-safe.
   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a

  }

  /**
   * Returns a new, empty builder for {@link ImmutableIntArray} instances, sized to hold up to
   * {@code initialCapacity} values without resizing. The returned builder is not thread-safe.
   *
   * <p><b>Performance note:</b> When feasible, {@code initialCapacity} should be the exact number
   * of values that will be added, if that knowledge is readily available. It is better to guess a

  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

  TF_Buffer* ret = TF_NewBuffer();

import (
	"sync"
	"time"
)

// EvictCallback is used to get a callback when a cache entry is evicted
type EvictCallback[K comparable, V any] func(key K, value V)

// LRU implements a thread-safe LRU with expirable entries.
type LRU[K comparable, V any] struct {
	size      int
	evictList *LruList[K, V]
	items     map[K]*Entry[K, V]
	onEvict   EvictCallback[K, V]

	// expirable options
	mu   sync.Mutex

	}

	r.wg.Add(1)
	defer r.wg.Done()
	n, err = r.read(p)
	for err == ErrIsEmpty && r.block {
		r.writeCond.Wait()
		if err = r.readErr(true); err != nil {
			break
		}
		n, err = r.read(p)
	}
	if r.block && n > 0 {
		r.readCond.Broadcast()
	}
	return n, err
}

// TryRead read up to len(p) bytes into p like Read but it is not blocking.

        // start
        AccessTimeoutTarget accessTimeoutTarget = null;
        TimeoutTask accessTimeoutTask = null;
        if (accessTimeout != null) {
            accessTimeoutTarget = new AccessTimeoutTarget(Thread.currentThread());
            accessTimeoutTask = TimeoutManager.getInstance().addTimeoutTarget(accessTimeoutTarget, accessTimeout, false);
        }

        final ExtractData data = new ExtractData();

Primero, necesitas importar `BaseModel` de `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

Luego, declaras tu modelo de datos como una clase que hereda de `BaseModel`.

Usa tipos estándar de Python para todos los atributos:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

    checkNotNull(runnable, "Runnable was null.");
    checkNotNull(executor, "Executor was null.");

    // Lock while we check state. We must maintain the lock while adding the new pair so that
    // another thread can't run the list out from under us. We only add to the list if we have not
    // yet started execution.
    synchronized (this) {
      if (!executed) {

     */
    protected void loadProtocols(final String basePackage) {
        final List<String> subPackages = new ArrayList<>();
        final String path = basePackage.replace('.', '/');
        final ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
        try {
            final Enumeration<java.net.URL> resources = classLoader.getResources(path);

            while (resources.hasMoreElements()) {

                        }
                        w.checkException();

                        if (read <= 0) {
                            break;
                        }

                        w.write(b[i], read, fos);
                    }

                    i = i == 1 ? 0 : 1;
                    off += read;
                }

                if (log.isDebugEnabled()) {