}
}

fun BaseGradleBuildType.tcParallelTests(numberOfBatches: Int) {
    if (numberOfBatches > 1) {
        params {
            param("env.TEAMCITY_PARALLEL_TESTS_ENABLED", "1")
        }
        features {
            parallelTests {
                this.numberOfBatches = numberOfBatches
            }
        }
    }
}

fun BuildFeatures.publishBuildStatusToGithub() {
    commitStatusPublisher {

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *

 *       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.
 *   <li>{@code FluentIterable} contains several features not available on {@code Stream}, which are
 *       noted in the method descriptions below.

import static com.google.common.collect.testing.Helpers.misleadingSizeCollection;
import static com.google.common.collect.testing.features.CollectionFeature.ALLOWS_NULL_QUERIES;
import static com.google.common.collect.testing.features.CollectionFeature.SERIALIZABLE;
import static com.google.common.truth.Truth.assertThat;
import static java.util.Arrays.asList;
import static java.util.Collections.emptyList;

      Iterator<? extends Callable<T>> it = tasks.iterator();

      futures.add(submitAndAddQueueListener(executorService, it.next(), futureQueue));
      --ntasks;
      int active = 1;

      while (true) {
        Future<T> f = futureQueue.poll();
        if (f == null) {
          if (ntasks > 0) {
            --ntasks;
            futures.add(submitAndAddQueueListener(executorService, it.next(), futureQueue));

 * the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.util.concurrent.Futures.getDone;
import static com.google.common.util.concurrent.MoreExecutors.rejectionPropagatingExecutor;
import static com.google.common.util.concurrent.NullnessCasts.uncheckedCastNullableTToT;

import com.google.common.collect.testing.SetTestSuiteBuilder;
import com.google.common.collect.testing.TestStringSetGenerator;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import java.util.HashSet;
import java.util.Set;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;

/**

  /*
   * TODO: improve this and other implementations and move out of this framework
   * for wider use
   *
   * TODO: could we incorporate the overriding logic from AbstractListTester, by
   * examining whether the features include KNOWN_ORDER?
   */
  protected void expectContents(Collection<E> expected) {
    assertEqualIgnoringOrder(expected, actualContents());
  }

  protected void expectUnchanged() {

import static com.google.common.collect.testing.Helpers.mapEntry;
import static com.google.common.collect.testing.features.CollectionFeature.KNOWN_ORDER;
import static com.google.common.collect.testing.features.CollectionFeature.SERIALIZABLE;
import static com.google.common.collect.testing.features.MapFeature.ALLOWS_ANY_NULL_QUERIES;
import static com.google.common.truth.Truth.assertThat;
import static java.util.Collections.emptyList;

    validations:
      required: true

  - type: textarea
    id: orthogonality
    attributes:
      label: "Orthogonality: How does this change interact or overlap with existing features?"
      description: "Is the goal of this change a performance improvement? If so, what quantifiable improvement should we expect? How would we measure it?"
    validations:
      required: false

  - type: textarea