// Healthy pods will be subject to the PDB for eviction.
  //
  // Additional policies may be added in the future.
  // Clients making eviction decisions should disallow eviction of unhealthy pods
  // if they encounter an unrecognized policy in this field.
  //
  // This field is beta-level. The eviction API uses this field when

import com.google.common.cache.TestingRemovalListeners.CountingRemovalListener;
import java.util.List;
import java.util.Set;
import junit.framework.TestCase;

/**
 * Tests relating to cache eviction: what does and doesn't count toward maximumSize, what happens
 * when maximumSize is reached, etc.
 *
 * @author mike nonemacher
 */
public class CacheEvictionTest extends TestCase {
  static final int MAX_SIZE = 100;

      Platform.get().logCloseableLeak(message, callReference.callStackTrace)

      references.removeAt(i)

      // If this was the last allocation, the connection is eligible for immediate eviction.
      if (references.isEmpty()) {
        connection.idleAtNs = now - keepAliveDurationNs
        return 0
      }
    }

    return references.size
  }

  /**

         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope
         * that this will suffice. I have not even benchmarked with different size limits.
         */
        if (validClasses.size() > 1000) {

 *
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.

    // list, it cannot be removed from it. Hence, foo is here.
    assertThat(hpackReader!!.getAndResetHeaderList()).isEqualTo(headerBlock)

    // Simulate receiving a small dynamic table size update, that implies eviction.
    bytesIn.writeByte(0x3F) // Dynamic table size update (size = 55).
    bytesIn.writeByte(0x18)
    hpackReader!!.readHeaders()
    assertThat(hpackReader!!.headerCount).isEqualTo(1)
  }

 *
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.

  /**
   * Returns the <a
   * href="http://en.wikipedia.org/wiki/Standard_deviation#Corrected_sample_standard_deviation">
   * corrected sample standard deviation</a> of the values. If this dataset is a sample drawn from a
   * population, this is an estimator of the population standard deviation of the population which
   * is less biased than {@link #populationStandardDeviation()} (the unbiased estimator depends on

   * R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's
   * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}).
   *
   * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a
   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit

   * R*R)} of the population standard deviation of {@code y}, where {@code R} is the Pearson's
   * correlation coefficient (as given by {@link #pearsonsCorrelationCoefficient()}).
   *
   * <p>The corresponding root-mean-square error in {@code x} as a function of {@code y} is a
   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit