} else {
		bs.XferRateSml.addSize(sz, duration)
	}
}

// RMetricName - name of replication metric
type RMetricName string

const (
	// Large - objects larger than 128MiB
	Large RMetricName = "Large"
	// Small - objects smaller than 128MiB
	Small RMetricName = "Small"
	// Total - metric pertaining to totals
	Total RMetricName = "Total"
)

   * may trigger an [OutOfMemoryError]. Prefer to stream the response body if this is a
   * possibility for your response.
   */
  @Throws(IOException::class)
  fun bytes() = commonBytes()

  /**
   * Returns the response as a [ByteString].
   *
   * This method loads entire response body into memory. If the response body is very large this

	ctx, cancel := context.WithTimeout(ctx, defaultContextTimeout)
	defer cancel()
	//  Retrieve all keys and values to avoid too many calls to etcd in case of
	//  a large number of policies
	r, err := ies.client.Get(ctx, iamConfigPoliciesPrefix, etcd.WithPrefix())
	if err != nil {
		return err
	}

	// Parse all values to construct the policies data model.

	).Or(
		DB.Where("pizza = ?", "hawaiian").Where("size = ?", "xlarge"),
	).Find(&Pizza{}).Statement

	execStmt := dryRunDB.Exec("WHERE (pizza = ? AND (size = ? OR size = ?)) OR (pizza = ? AND size = ?)", "pepperoni", "small", "medium", "hawaiian", "xlarge").Statement

	result := DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)

   *       userspace buffer (byte[] or ByteBuffer), then copies them from that buffer into the
   *       destination channel.
   * </ol>
   *
   * This value is intended to be large enough to make the overhead of system calls negligible,
   * without being so large that it causes problems for systems with atypical memory management if
   * approaches 2 or 3 are used.
   */
  private static final int ZERO_COPY_CHUNK_SIZE = 512 * 1024;

  require(millis <= Integer.MAX_VALUE) { "$name too large" }
  require(millis != 0L || duration <= 0L) { "$name too small" }
  return millis.toInt()
}

internal fun checkDuration(
  name: String,
  duration: Duration,
): Int {
  check(!duration.isNegative()) { "$name < 0" }
  val millis = duration.inWholeMilliseconds
  require(millis <= Integer.MAX_VALUE) { "$name too large" }

  }

  public void testFindLast_refStream() {
    assertThat(findLast(Stream.of())).isEmpty();
    assertThat(findLast(Stream.of("a", "b", "c", "d"))).hasValue("d");

    // test with a large, not-subsized Spliterator
    List<Integer> list =
        IntStream.rangeClosed(0, 10000).boxed().collect(Collectors.toCollection(LinkedList::new));
    assertThat(findLast(list.stream())).hasValue(10000);

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 205
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",

* What test cases should it have? What could go wrong?
* How will it roughly be implemented? We'll happily provide code pointers to save you time.

We may ask you to answer these questions directly in the GitHub issue or (for large changes) in a shared Google Doc.