* a traditional {@code HashMap} implementation which stores keys and count values as map entries,
 * {@code ObjectCountHashMap} minimizes object allocation and reduces memory footprint.
 *
 * <p>In the absence of element deletions, this will iterate over elements in insertion order.
 */
@GwtCompatible(serializable = true, emulated = true)
@ElementTypesAreNonnullByDefault

   *
   * @see IntStream#findFirst()
   * @throws NullPointerException if the last element of the stream is null
   */
  public static OptionalInt findLast(IntStream stream) {
    // findLast(Stream) does some allocation, so we might as well box some more
    java.util.Optional<Integer> boxedLast = findLast(stream.boxed());
    return boxedLast.map(OptionalInt::of).orElse(OptionalInt.empty());
  }

  /**

          "Did you forget to close a response body?"
      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

  // acquires each thread in order (and so only one Execute will schedule
  // blocking collective operations at a time), and avoids some dynamic
  // allocation/scheduling.
  //
  // TODO(allenl): Keep a map from outer thread to list of inner threads rather
  // than a single list of threads so aliased nested parallel devices don't
  // re-use a thread.

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package jwt

// This file is a re-implementation of the original code here with some
// additional allocation tweaks reproduced using GODEBUG=allocfreetrace=1
// original file https://github.com/golang-jwt/jwt/blob/main/parser.go
// borrowed under MIT License https://github.com/golang-jwt/jwt/blob/main/LICENSE

import (
	"bytes"

        unescapedChunkStart = nextIndex;
      }
      index = nextEscapeIndex(s, nextIndex, end);
    }

    // Process trailing unescaped characters - no need to account for escaped
    // length or padding the allocation.
    int charsSkipped = end - unescapedChunkStart;
    if (charsSkipped > 0) {
      int endIndex = destIndex + charsSkipped;
      if (dest.length < endIndex) {
        dest = growBuffer(dest, destIndex, endIndex);

The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.
As noted already, programmers are strongly encouraged to use appropriate synchronization

   * collection-based APIs. Further, this method allows precise control over the runtime type of the
   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>

Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the `replication_workers`. The prometheus metrics exposed by MinIO can be used to plan resource allocation and bandwidth management to optimize replication speed.

If synchronous replication is configured above, replication is attempted right away prior to returning the PUT object response. In the event that the replication target is down, the...

   * collection-based APIs. Further, this method allows precise control over the runtime type of the
   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>