}

    /**
     *  Evaluate XPath string to an XObject.
     *  XPath namespace prefixes are resolved from the namespaceNode.
     *  The implementation of this is a little slow, since it creates
     *  a number of objects each time it is called.  This could be optimized
     *  to keep the same objects around, but then thread-safety issues would arise.
     *

ARGS:
bitrotscan     (on|off)    perform bitrot scan on drives when checking objects during scanner
max_sleep      (duration)  maximum sleep duration between objects to slow down heal operation. eg. 2s
max_io         (int)       maximum IO requests allowed between objects to slow down heal operation. eg. 3
drive_workers  (int)       the number of workers per drive to heal a new disk replacement.
```

func TestZip64(t *testing.T) {
	if testing.Short() {
		t.Skip("slow test; skipping")
	}
	t.Parallel()
	const size = 1 << 32 // before the "END\n" part
	buf := testZip64(t, size)
	testZip64DirectoryRecordLength(buf, t)
}

func TestZip64EdgeCase(t *testing.T) {
	if testing.Short() {
		t.Skip("slow test; skipping")
	}
	t.Parallel()
	// Test a zip file with uncompressed size 0xFFFFFFFF.

      codePoint.toChar() in encodeSet ||
      codePoint == '%'.code &&
      (!alreadyEncoded || strict && !isPercentEncoded(i, limit)) ||
      codePoint == '+'.code && plusIsSpace
    ) {
      // Slow path: the character at i requires encoding!
      val out = Buffer()
      out.writeUtf8(this, pos, i)
      out.writeCanonicalized(
        input = this,
        pos = i,
        limit = limit,

	setEventStreamHeaders(w)

	// Listen Publisher and peer-listen-client uses nonblocking send and hence does not wait for slow receivers.
	// Use buffered channel to take care of burst sends or slow w.Write()
	mergeCh := make(chan []byte, globalAPIConfig.getRequestsPoolCapacity()*len(globalEndpoints.Hostnames()))
	localCh := make(chan event.Event, globalAPIConfig.getRequestsPoolCapacity())

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

## Using `BackgroundTasks`

   */
  static class ExpensiveComputation implements Function<Integer, BigInteger> {
    @Override
    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);
      // Math.sin is very slow for values outside 4*pi
      // Need to take absolute value to avoid inverting the value.
      for (double i = 0; i < 100; i += 20) {
        v =
            v.add(
                v.multiply(

 *   }
 * }
 * ```
 *
 * Note that [nextPart] will skip any unprocessed data from the preceding part. If the preceding
 * part is particularly large or if the underlying source is particularly slow, the [nextPart] call
 * may be slow!
 *
 * Closing a part **does not** close this multipart reader; callers must explicitly close this with
 * [close].
 *
 * [rfc_2046]: http://www.ietf.org/rfc/rfc2046.txt
 */
class MultipartReader

    val isMacOsX = OperatingSystem.current().isMacOsX
    val isIntel: Boolean = architecture == "x86_64" || architecture == "x86"
    val isSlowInternetConnection
        get() = System.getProperty("slow.internet.connection", "false")!!.toBoolean()
    val agentNum: Int
        get() {
            if (System.getenv().containsKey("USERNAME")) {

    // Necessary for ISS's with comparators inconsistent with equals.
    return indexOf(target) >= 0;
  }

  @GwtIncompatible // super.subListUnchecked does not exist; inherited subList is valid if slow
  /*
   * TODO(cpovirk): if we start to override indexOf/lastIndexOf under GWT, we'll want some way to
   * override subList to return an ImmutableSortedAsList for better performance. Right now, I'm not