// is reached and keep reusing the same source string - that
	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.
	// This yields significant speedups (up to +100%) in cases where
	// the result length is large (roughly, over L2 cache size).
	const chunkLimit = 8 * 1024
	chunkMax := n
	if chunkMax > chunkLimit {
		chunkMax = chunkLimit / len(b) * len(b)

            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)
        *   For older CPUs, oneDNN optimizations are disabled by default.

 * and project artifacts). When Maven builds a project, it first checks the
 * local repository to see if the required artifacts are already available.
 * If the artifacts are found locally, Maven uses them directly, which speeds
 * up the build process by avoiding unnecessary downloads.</p>
 *
 * <p>By default, the local repository is located in the {@code .m2/repository}
 * directory within the user's home directory ({@code ~/.m2/repository} on

#
# Docker is enabled by default on Linux. You may disable it if you prefer:
# export TFCI=py311,linux_x86,no_docker

# Advanced: Use Remote Build Execution (RBE) (internal developers only)
#
#   RBE dramatically speeds up builds and testing. It also gives you a
#   public URL to share your build results with collaborators. However,
#   it is only available to a limited set of internal TensorFlow developers.
#

}),ce.speed=function(e,t,n){var r=e&&"object"==typeof e?ce.extend({},e):{complete:n||!n&&t||v(e)&&e,duration:e,easing:n&&t||t&&!v(t)&&t};return ce.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in ce.fx.speeds?r.duration=ce.fx.speeds[r.duration]:r.duration=ce.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){v(r.old)&&r.old.call(this),r.queue&&ce.dequeue(this,r.queue)},r},ce.fn.extend({fadeTo:function(e,t,n,r){return this.filter(...

      write_to_bazelrc('build --define=%s=%s' % (varname, environ_cp[varname]))


def set_windows_build_flags(environ_cp):
  """Set Windows specific build options."""

  # First available in VS 16.4. Speeds up Windows compile times by a lot. See
  # https://groups.google.com/a/tensorflow.org/d/topic/build/SsW98Eo7l3o/discussion
  # pylint: disable=line-too-long
  write_to_bazelrc(

}),ce.speed=function(e,t,n){var r=e&&"object"==typeof e?ce.extend({},e):{complete:n||!n&&t||v(e)&&e,duration:e,easing:n&&t||t&&!v(t)&&t};return ce.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in ce.fx.speeds?r.duration=ce.fx.speeds[r.duration]:r.duration=ce.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){v(r.old)&&r.old.call(this),r.queue&&ce.dequeue(this,r.queue)},r},ce.fn.extend({fadeTo:function(e,t,n,r){return this.filter(...

      totalCount += count;
      return this;
    }

    AvlNode<E> add(
        Comparator<? super E> comparator, @ParametricNullness E e, int count, int[] result) {
      /*
       * It speeds things up considerably to unconditionally add count to totalCount here,
       * but that destroys failure atomicity in the case of count overflow. =(
       */
      int cmp = comparator.compare(e, getElement());

      totalCount += count;
      return this;
    }

    AvlNode<E> add(
        Comparator<? super E> comparator, @ParametricNullness E e, int count, int[] result) {
      /*
       * It speeds things up considerably to unconditionally add count to totalCount here,
       * but that destroys failure atomicity in the case of count overflow. =(
       */
      int cmp = comparator.compare(e, getElement());

ecialEasing","originalProperties","originalOptions","gotoEnd","propFilter","bind","complete","timer","anim","*","tweener","oldfire","propTween","restoreDisplay","isBox","dataShow","unqueued","overflow","overflowX","overflowY","prefilter","speed","speeds","fadeTo","to","animate","optall","doAnimation","finish","stopQueue","timers","cssFn","slideDown","slideUp","slideToggle","fadeIn","fadeOut","fadeToggle","slow","fast","delay","time","timeout","clearTimeout","checkOn","optSelected","radioValue","...