int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {
    Random rng = new Random();
    for (int i = 0; i < 0x100; i++) {
      values[i] = new double[n];
      for (int j = 0; j < n; j++) {
        values[i][j] = rng.nextDouble();
      }
    }
  }

      mergeAdjacentRanges(
        listOf(
          Mapping(0x0000, 0x002c, TYPE_DISALLOWED_STD3_VALID, ByteString.EMPTY),
        ),
      ),
    ).containsExactly(
      Mapping(0x0000, 0x002c, TYPE_VALID, ByteString.EMPTY),
    )
  }

  @Test fun simplifyCombinesCanonicalEquivalent() {
    assertThat(
      mergeAdjacentRanges(
        listOf(
          Mapping(0x0000, 0x002c, TYPE_DISALLOWED_STD3_VALID, ByteString.EMPTY),

		uint32_t rid;
		uint32_t sid_index;
	} LsarTranslatedSid;

	typedef struct {
		[range(0,1000)] uint32_t count;
		[size_is(count)] LsarTranslatedSid *sids;
	} LsarTransSidArray;

	typedef struct {
		unicode_string name;
		sid_t *sid;
	} LsarTrustInformation;

	typedef struct {
		[range(0,1000)] uint32_t count;
		[size_is(count)] LsarTrustInformation *domains;
		uint32_t max_count;
	} LsarRefDomainList;

		uint32_t rid;
		uint32_t sid_index;
	} LsarTranslatedSid;

	typedef struct {
		[range(0,1000)] uint32_t count;
		[size_is(count)] LsarTranslatedSid *sids;
	} LsarTransSidArray;

	typedef struct {
		unicode_string name;
		sid_t *sid;
	} LsarTrustInformation;

	typedef struct {
		[range(0,1000)] uint32_t count;
		[size_is(count)] LsarTrustInformation *domains;
		uint32_t max_count;
	} LsarRefDomainList;

[
	uuid(4fc742e0-4a10-11cf-8273-00aa004ae673),
	version(3.0)
]
interface netdfs
{
	import "../rpc.idl";

	const uint32_t DFS_VOLUME_FLAVOR_STANDALONE = 0x100;
	const uint32_t DFS_VOLUME_FLAVOR_AD_BLOB = 0x200;

	const uint32_t DFS_STORAGE_STATE_OFFLINE = 0x0001;
	const uint32_t DFS_STORAGE_STATE_ONLINE = 0x0002;
	const uint32_t DFS_STORAGE_STATE_ACTIVE = 0x0004;

	typedef struct {
		[string] wchar_t *entry_path;
	} DfsInfo1;

import java.io.StringReader;
import java.io.StringWriter;
import java.util.Random;

/** Benchmark for {@code BaseEncoding} performance. */
public class BaseEncodingBenchmark {
  private static final int INPUTS_COUNT = 0x1000;
  private static final int INPUTS_MASK = 0xFFF;

  enum EncodingOption {
    BASE64(BaseEncoding.base64()),
    BASE64_URL(BaseEncoding.base64Url()),
    BASE32(BaseEncoding.base32()),

    /**
     * 
     */
    public static final int LABEL_SECURITY_INFO = 0x10;

    /**
     * 
     */
    public static final int ATTRIBUTE_SECURITY_INFO = 0x20;

    /**
     * 
     */
    public static final int SCOPE_SECURITY_INFO = 0x40;

    /**
     * 
     */
    public static final int BACKUP_SECURITY_INFO = 0x1000;

 *
 * @author Louis Wasserman
 */
public class HashMultisetAddPresentBenchmark {
  private static final int ARRAY_MASK = 0x0ffff;
  private static final int ARRAY_SIZE = 0x10000;
  List<Multiset<Integer>> multisets = new ArrayList<>(0x10000);
  int[] queries = new int[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    Random random = new Random();
    multisets.clear();
    for (int i = 0; i < ARRAY_SIZE; i++) {

	// Add non-block to avoid syscall to attempt to set epoll on files.
	readMode = os.O_RDONLY | 0x40000 | syscall.O_NONBLOCK // O_NOATIME

	// Write with data sync only used only for `xl.meta` writes
	writeMode = 0x1000 | syscall.O_NONBLOCK // O_DSYNC

    return ((0xFL << 4) | (codePoint >>> 18))
        | ((0x80L | (0x3F & (codePoint >>> 12))) << 8)
        | ((0x80L | (0x3F & (codePoint >>> 6))) << 16)
        | ((0x80L | (0x3F & codePoint)) << 24);
  }

  private static long charToThreeUtf8Bytes(char c) {
    return ((0x7L << 5) | (c >>> 12))
        | ((0x80 | (0x3F & (c >>> 6))) << 8)
        | ((0x80 | (0x3F & c)) << 16);
  }