val toEvictIdleAtNs: Long
    when {
      // We had at least one OLD connection. Close the oldest one.
      earliestOldConnection != null -> {
        toEvict = earliestOldConnection
        toEvictIdleAtNs = earliestOldIdleAtNs
      }

      // We have too many EVICTABLE connections. Close the oldest one.
      evictableConnectionCount > maxIdleConnections -> {

   * that returns a {@code ClosingFuture} to its value. The function can use a {@link
   * DeferredCloser} to capture objects to be closed when the pipeline is done (other than those
   * captured by the returned {@link ClosingFuture}).
   *
   * <p>If this {@code ClosingFuture} succeeds, the derived one will be equivalent to the one
   * returned by the function.
   *

import static com.google.common.primitives.UnsignedLongs.max;
import static com.google.common.primitives.UnsignedLongs.min;
import static com.google.common.truth.Truth.assertThat;
import static java.math.BigInteger.ONE;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.collect.testing.Helpers;

		logger.Info("bucketMetacache.findCache: bucket %s does not match this bucket %s", o.Bucket, b.bucket)
		debug.PrintStack()
		return metacache{}
	}

	// Grab a write lock, since we create one if we cannot find one.
	b.mu.Lock()
	defer b.mu.Unlock()

	// Check if exists already.
	if c, ok := b.caches[o.ID]; ok {
		c.lastHandout = time.Now()
		b.caches[o.ID] = c
		b.debugf("returning existing %v", o.ID)

	}

	if err = checkPathLength(dirPath); err != nil {
		return err
	}

	if err = reliableRemoveAll(dirPath); err != nil {
		switch {
		case isSysErrNotDir(err):
			// File path cannot be verified since one of
			// the parents is a file.
			return errFileAccessDenied
		case isSysErrPathNotFound(err):
			// This is a special case should be handled only for
			// windows, because windows API does not return "not a

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *

  }

  /**
   * Tries to perform a "full" garbage collection cycle (including processing of weak references and
   * invocation of finalize methods) and waits for it to complete. Ensures that at least one weak
   * reference has been cleared and one {@code finalize} method has been run before this method
   * returns. This method may be useful when testing the garbage collection mechanism itself, or

 *
 * As persistence, implementations of this interface must also provide storage of cookies. Simple
 * implementations may store cookies in memory; sophisticated ones may use the file system or
 * database to hold accepted cookies. The [cookie storage model][rfc_6265_53] specifies policies for
 * updating and expiring cookies.
 *
 * [rfc_6265_53]: https://tools.ietf.org/html/rfc6265#section-5.3

  public void testFilteredValuesClear() {
    Map<String, Integer> unfiltered = createUnfiltered();
    unfiltered.put("one", 1);
    unfiltered.put("two", 2);
    unfiltered.put("three", 3);
    unfiltered.put("four", 4);
    Map<String, Integer> filtered = Maps.filterValues(unfiltered, EVEN);
    assertEquals(ImmutableMap.of("one", 1, "two", 2, "three", 3, "four", 4), unfiltered);
    assertEquals(ImmutableMap.of("two", 2, "four", 4), filtered);