// if changed, the new fpp is strictly higher, otherwise it is the same
      assertTrue(changed ? newFpp > fpp : newFpp == fpp);
      fpp = newFpp;
    }
  }

  @AndroidIncompatible // slow
  public void testBitSize() {
    double fpp = 0.03;
    for (int i = 1; i < 10000; i++) {
      long numBits = BloomFilter.optimalNumOfBits(i, fpp);

        int sqrtFloorInt = sqrtFloor.intValue();
        boolean sqrtFloorIsExact =
            (sqrtFloorInt * sqrtFloorInt == x.intValue()) // fast check mod 2^32
                && sqrtFloor.pow(2).equals(x); // slow exact check
        return sqrtFloorIsExact ? sqrtFloor : sqrtFloor.add(BigInteger.ONE);
      case HALF_DOWN:
      case HALF_UP:
      case HALF_EVEN:
        BigInteger halfSquare = sqrtFloor.pow(2).add(sqrtFloor);

     * execute Queue#drainTo is not added *on top* of waiting for the timeout (which could make
     * the timeout arbitrarily inaccurate, given a queue that is slow to drain).
     */
    long deadline = System.nanoTime() + unit.toNanos(timeout);
    int added = 0;
    while (added < numElements) {

    disable the sharding so that all the test outputs are in one file. However,
    it may slow down the tests for not running in parallel and may cause the
    test to timeout but it could be useful when you need to execute a single
    test or more in general your filtered/selected tests have a very low
    execution time and the sharding

  /** Settings we communicate to the peer. */
  val okHttpSettings =
    Settings().apply {
      // Flow control was designed more for servers, or proxies than edge clients. If we are a client,
      // set the flow control window to 16MiB.  This avoids thrashing window updates every 64KiB, yet
      // small enough to avoid blowing up the heap.
      if (builder.client) {

import org.junit.jupiter.api.Disabled
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension
import org.opentest4j.TestAbortedException

@Tag("Slow")
class OkHttpTest {
  @Suppress("RedundantVisibilityModifier")
  @JvmField
  @RegisterExtension
  public val platform = PlatformRule()

  @Suppress("RedundantVisibilityModifier")
  @JvmField

        .contains("Service FailRunService [FAILED] has failed in the RUNNING state");
  }

  /**
   * Tests that a ServiceManager can be fully shut down if one of its failure listeners is slow or
   * even permanently blocked.
   */
  public void testListenerDeadlock() throws InterruptedException {
    CountDownLatch failEnter = new CountDownLatch(1);
    CountDownLatch failLeave = new CountDownLatch(1);

    }

    /*
     * These methods "should" call checkNotNull. However, I'm wary of accidentally introducing
     * anything that might slow down execution on such a hot path. Given that the methods are only
     * package-private, I feel OK with just not testing them for NPE.
     *

    }

    /*
     * These methods "should" call checkNotNull. However, I'm wary of accidentally introducing
     * anything that might slow down execution on such a hot path. Given that the methods are only
     * package-private, I feel OK with just not testing them for NPE.
     *

    assertEquals(1, partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, partition(nCopies(0x40000001, 1), 0x40000000).size());
  }