// also be an IP address.
  //
  // Please note that using `localhost` or `127.0.0.1` as a `host` is
  // risky unless you take great care to run this webhook on all hosts
  // which run an apiserver which might need to make calls to this
  // webhook. Such installs are likely to be non-portable, i.e., not easy
  // to turn up in a new cluster.
  //

   * throw an exception in response to any of {@code elements} being null or of the wrong type.
   *
   * <p><b>Note:</b> this method does not take into account the occurrence count of an element in
   * the two collections; it may still return {@code true} even if {@code elements} contains several

	err = obj.MakeBucket(context.Background(), "unused-bucket", MakeBucketOptions{})
	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	// Take 4 disks down, one more we loose quorum on 16 disk node.
	for _, disk := range disks[:4] {
		os.RemoveAll(disk)
	}

	testCases := []struct {
		bucketName    string
		objName       string

    }

    @Override
    public String toString() {
      return "Ordering.arbitrary()";
    }

    /*
     * We need to be able to mock identityHashCode() calls for tests, because it
     * can take 1-10 seconds to find colliding objects. Mocking frameworks that
     * can do magic to mock static method calls still can't do so for a system
     * class, so we need the indirection. In production, Hotspot should still

   * forever.
   *
   * @return the head of the request queue
   */
  @Throws(InterruptedException::class)
  fun takeRequest(): RecordedRequest = requestQueue.take()

  /**
   * Awaits the next HTTP request (waiting up to the specified wait time if necessary), removes it,
   * and returns it. Callers should use this to verify the request was sent as intended within the

          </association>
        </field>
        <field>
          <name>properties</name>
          <description>
            Extended configuration specific to this profile goes here.
            Contents take the form of {@code &lt;property.name&gt;property.value&lt;/property.name&gt;}
          </description>
          <type>Properties</type>
          <association xml.mapStyle="inline">
            <type>String</type>

                        + "', but found '"
                        + context.loggerFactory.getClass().getName() + "' instead. "
                        + "The --fail-on-severity flag will not take effect.");
            }
        }
    }

    protected void helpOrVersionAndMayExit(C context) throws Exception {
        R invokerRequest = context.invokerRequest;

  protected static final boolean expensiveTests = Boolean.getBoolean("jsr166.expensiveTests");

  /**
   * If true, report on stdout all "slow" tests, that is, ones that take more than profileThreshold
   * milliseconds to execute.
   */
  private static final boolean profileTests = Boolean.getBoolean("jsr166.profileTests");

  /**

		return -1
	}
	// defaults to 'strict'
	return driveCount
}

func calcCommonWritesDeletes(infos []DiskInfo, readQuorum int) (commonWrite, commonDelete uint64) {
	deletes := make([]uint64, len(infos))
	writes := make([]uint64, len(infos))
	for index, di := range infos {
		deletes[index] = di.Metrics.TotalDeletes
		writes[index] = di.Metrics.TotalWrites
	}

	filter := func(list []uint64) (commonCount uint64) {

 *
 * <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.
 *