* satisfied at the time of signal, and has since been modified by some other thread to be
   * non-satisfied before reacquiring the lock, and that other thread takes over the responsibility
   * of signaling the next waiter.
   *
   * Unlike the underlying Condition, if we are not careful, an interrupt *can* cause a signal to be

	if metadata[xhttp.AmzStorageClass] == storageclass.STANDARD {
		delete(metadata, xhttp.AmzStorageClass)
	}
	return metadata
}

// cleanMetadataKeys takes keyNames to be filtered
// and returns a new map with all the entries with keyNames removed.
func cleanMetadataKeys(metadata map[string]string, keyNames ...string) map[string]string {

            sameSite = attributeValue
          }
        }

        pos = attributePairEnd + 1
      }

      // If 'Max-Age' is present, it takes precedence over 'Expires', regardless of the order the two
      // attributes are declared in the cookie string.
      if (deltaSeconds == Long.MIN_VALUE) {
        expiresAt = Long.MIN_VALUE

// name of the function handler passed (this handler must be a method of
// `adminAPIHandlers`).
//
// - sets up call to send AuditLog
//
// While this is a middleware function (i.e. it takes a handler function and
// returns one), due to flags being passed based on required conditions, it is
// done per-"handler function registration" in the router.
//

          exception.addSuppressed(new FailedService(service));
        }
        throw exception;
      }
    }
  }

  /**
   * A {@link Service} that wraps another service and times how long it takes for it to start and
   * also calls the {@link ServiceManagerState#transitionService(Service, State, State)}, to record
   * the state transitions.
   */
  private static final class ServiceListener extends Service.Listener {

 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table

    `Headers` class offers full access to the HTTP headers.

 *  **Okio dependency added.** OkHttp now depends on
    [Okio](https://github.com/square/okio), an I/O library that makes it easier
    to access, store and process data. Using this library internally makes OkHttp
    faster while consuming less memory. You can write a `RequestBody` as an Okio
    `BufferedSink` and a `ResponseBody` as an Okio `BufferedSource`. Standard

     *
     * <p>If this returns false, then no query can take more than O(log n).
     *
     * <p>Note that for a RegularImmutableSet with elements with truly random hash codes, contains
     * operations take expected O(1) time but with high probability take O(log n) for at least some
     * element. (https://en.wikipedia.org/wiki/Linear_probing#Analysis)
     *

   * is polled. This amortizes the sorting cost over the iteration and requires less memory than
   * sorting all elements at once.
   *
   * <p>Retrieving a single element takes approximately O(log(M)) time, where M is the number of
   * iterators. (Retrieving all elements takes approximately O(N*log(M)) time, where N is the total
   * number of elements.)
   */
  private static final class MergingIterator<T extends @Nullable Object>

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *