* @param initialArraySize the exact size of the initial backing array for the returned array list
   *     ({@code ArrayList} documentation calls this value the "capacity")
   * @return a new, empty {@code ArrayList} which is guaranteed not to resize itself unless its size
   *     reaches {@code initialArraySize + 1}
   * @throws IllegalArgumentException if {@code initialArraySize} is negative
   */
  @GwtCompatible(serializable = true)

used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for
[other languages](https://www.tensorflow.org/api_docs).

Keep up-to-date with release announcements and security updates by subscribing
to

 * <p>Note that this implementation is not synchronized. If multiple threads access the same cell of
 * an {@code ArrayTable} concurrently and one of the threads modifies its value, there is no
 * guarantee that the new value will be fully visible to the other threads. To guarantee that
 * modifications are visible, synchronize access to the table. Unlike other {@code Table}
 * implementations, synchronization is unnecessary between a thread that writes to one cell and a

      if (interrupted) {
        Thread.currentThread().interrupt();
      }
    }
    return added;
  }

  /**
   * Returns a synchronized (thread-safe) queue backed by the specified queue. In order to guarantee
   * serial access, it is critical that <b>all</b> access to the backing queue is accomplished
   * through the returned queue.
   *

   *
   * 1. visibility of the writes to these fields to Fire.run:
   *
   * The initial write to delegateRef is made definitely visible via the semantics of
   * addListener/SES.schedule. The later racy write in cancel() is not guaranteed to be observed,
   * however that is fine since the correctness is based on the atomic state in our base class. The
   * initial write to timer is never definitely visible to Fire.run since it is assigned after

        override fun connectStart(
          call: Call,
          inetSocketAddress: InetSocketAddress,
          proxy: Proxy,
        ) {
          try {
            // Wait for request2 to guarantee we make 2 separate connections to the server.
            latch1.await()
          } catch (e: InterruptedException) {
            throw AssertionError(e)
          }
        }

// that operate on IP addresses. The object is used by the Service core API for allocation of IP addresses.
// An IP address can be represented in different formats, to guarantee the uniqueness of the IP,
// the name of the object is the IP address in canonical format, four decimal digits separated
// by dots suppressing leading zeros for IPv4 and the representation defined by RFC 5952 for IPv6.

   * the first invocation of {@code hasNext} or {@code next} following each successful call to
   * {@code next}. Once the implementation either invokes {@code endOfData} or throws an exception,
   * {@code computeNext} is guaranteed to never be called again.
   *
   * <p>If this method throws an exception, it will propagate outward to the {@code hasNext} or
   * {@code next} invocation that invoked this method. Any further attempts to use the iterator will

   * computation is already complete, immediately.
   *
   * <p>The callback is run on {@code executor}. There is no guaranteed ordering of execution of
   * callbacks, but any callback added through this method is guaranteed to be called once the
   * computation is complete.
   *
   * <p>Example:
   *
   * <pre>{@code
   * future.addCallback(

  // Note:
  // * the number of additional invocations is not guaranteed to be exactly one.
  // * if additional invocations result in further modifications to the object, webhooks are not guaranteed to be invoked again.
  // * webhooks that use this option may be reordered to minimize the number of additional invocations.
  // * to validate an object after all mutations are guaranteed complete, use a validating admission webhook instead.
  //