* percentiles together takes about 55% as long as computing them separately.
 *
 * <p>When calling {@link ScaleAndIndex#compute} (in {@linkplain ScaleAndIndexes#compute either
 * form}), the memory requirement is 8*N bytes for the copy of the dataset plus an overhead which is
 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace

How much of the system resources do you want to be consuming/utilizing? It might be easy to think "not much", but in reality, you will probably want to consume **as much as possible without crashing**.

If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc.

ing pull requests</a> for your language. You can filter the pull requests by the ones with the label for your language. For example, for Spanish, the label is <a href="https://github.com/fastapi/fastapi/pulls?q=is%3Aopen+sort%3Aupdated-desc+label%3Alang-es+label%3Aawaiting-review" class="external-link" target="_blank">`lang-es`</a>.

* Review those pull requests, requesting changes or approving them. For the languages I don't speak, I'll wait for several others to review the translation...

	_         int32 // For 64 bits alignment
	lastConn  int64

	// HealthCheckFn is the function set to test for health.
	// If not set the client will not keep track of health.
	// Calling this returns true or false if the target
	// is online or offline.
	HealthCheckFn func() bool

	// HealthCheckRetryUnit will be used to calculate the exponential
	// backoff when trying to reconnect to an offline node

# as specified in cluster topology configuration file.
# 1. IMAGE = docker image used as node by KinD
# 2. IP_FAMILY = either ipv4 or ipv6
#
# NOTE: Please call load_cluster_topology before calling this method as it expects
# cluster topology information to be loaded in advance
function setup_kind_clusters() {
  IMAGE="${1:-"${DEFAULT_KIND_IMAGE}"}"
  KUBECONFIG_DIR="${ARTIFACTS:-$(mktemp -d)}/kubeconfig"

    List<Object> result = doConcurrentGet(cache, "bar", count, startSignal);

    assertEquals(1, callCount.get());
    for (int i = 0; i < count; i++) {
      // doConcurrentGet alternates between calling getUnchecked and calling get, but an unchecked
      // exception thrown by the loader is always wrapped as an UncheckedExecutionException.
      assertThat(result.get(i)).isInstanceOf(UncheckedExecutionException.class);

Readme.md would be the same file on Windows. In this test, you would get a
warning for "readme.md" because it makes everything lowercase. There are
repeats of these filename(s) with different casing:
EOF
    find . | tr '[A-Z]' '[a-z]' | sort | uniq -d | tee $BATS_FILE_TMPDIR/repeats
    [[ ! -s $BATS_FILE_TMPDIR/repeats ]]
}

# It's unclear why, but running this on //tensorflow/... is faster than running

   * point values. Two instances are guaranteed to be considered equal if one is copied from the
   * other using {@code second = new PairedStatsAccumulator().addAll(first).snapshot()}, if both
   * were obtained by calling {@code snapshot()} on the same {@link PairedStatsAccumulator} without
   * adding any values in between the two calls, or if one is obtained from the other after

        // We have metadata retrieval problems, or there are cycles that have been detected
        // so we give this back to the calling code and let them deal with this information
        // appropriately.

        if (result.hasMetadataResolutionExceptions()
                || result.hasVersionRangeViolations()

  // case, but we do check that its API still has the same public methods. We exclude some methods
  // that were added in Java 9 and that people probably weren't calling via Invokable, namely
  // `boolean canAccess(Object)`.
  public void testApiCompatibleWithAccessibleObject() {
    ImmutableSet<String> invokableMethods =