private static final int STRING_LENGTH = 10000;

  private static final String OLD_WHITESPACE_TABLE =
      "\u0001\u0000\u00a0\u0000\u0000\u0000\u0000\u0000"
          + "\u0000\u0009\n\u000b\u000c\r\u0000\u0000\u2028\u2029\u0000\u0000\u0000\u0000\u0000"
          + "\u202f\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0020\u0000\u0000\u0000\u0000"
          + "\u0000\u0000\u0000\u0000\u0000\u0000\u3000\u0000\u0000\u0000\u0000\u0000\u0000\u0000"

                    <mxGeometry x="-60" y="-540" width="330" height="260" as="geometry"/>
                </mxCell>

  - `HeadObject`
  - `GetObject`
  - `ListObjectsV2`
- If the ZIP file directory isn't located within the last 100MB the file will not be parsed.
- A maximum of 100M inside a single zip is allowed. However, a reasonable limit of 100,000 files inside a single ZIP archive is recommended for best performance and memory usage trade-off.

## Content-Type

		검색어의 첫 번째 문자는 사용할 수 없습니다.
	</dd>
	<dt>범위검색</dt>
	<dd>
		범위 검색 필드 값의 범위를 지정하여 그 조건에 일치하는 문서를 검색합니다.
		범위의 경계 값을 포함하려면 []를 사용하여 포함하지 않는 경우는 {}을 이용합니다.
		예를 들어, content_length 필드가 1000에서 10000의 값을 가진 문서를 검색하려면 다음과 같이 입력합니다.
		<pre>content_length:[1000 TO 10000]</pre>
	</dd>
	<dt>부스트(Boost)검색</dt>
	<dd>
		부스트 검색은 검색어 뒤에 ^을 지정하여 사용할 수 있습니다.
		^ 다음에 가중치 값을 정수로 지정하여 그 검색어가 향상됩니다.
		<pre>Fess^100</pre>
	</dd>
	<dt>퍼지(Fuzzy)검색</dt>

    /* Write out various test values in LITTLE ENDIAN FORMAT */
    out.write(new byte[] {-100, 100});
    out.writeBoolean(true);
    out.writeBoolean(false);
    out.writeByte(100);
    out.writeByte(-100);
    out.writeByte((byte) 200);
    out.writeChar('a');
    out.writeShort((short) -30000);
    out.writeShort((short) 50000);
    out.writeInt(0xCAFEBABE);
    out.writeLong(0xDEADBEEFCAFEBABEL);

    /* Write out various test values in LITTLE ENDIAN FORMAT */
    out.write(new byte[] {-100, 100});
    out.writeBoolean(true);
    out.writeBoolean(false);
    out.writeByte(100);
    out.writeByte(-100);
    out.writeByte((byte) 200);
    out.writeChar('a');
    out.writeShort((short) -30000);
    out.writeShort((short) 50000);
    out.writeInt(0xCAFEBABE);
    out.writeLong(0xDEADBEEFCAFEBABEL);

            BigInteger firstBigInt = BigInteger.valueOf(first);
            BigInteger completeBigInt = lastBigInt.add(firstBigInt.shiftLeft(32));
            completeBigInt = completeBigInt.divide(BigInteger.valueOf(10000L));
            completeBigInt = completeBigInt.add(BigInteger.valueOf(-SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601));
            date = new Date(completeBigInt.longValue());
        }

        return date;

 *
 * @author Sverre Sundsdal
 */
public class MinMaxPriorityQueueBenchmark {
  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.2);
  }

  public void testOneSecondBurst() {
    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    stopwatch.sleepMillis(1000); // max capacity reached
    stopwatch.sleepMillis(1000); // this makes no difference
    limiter.acquire(1); // R0.00, since it's the first request

    limiter.acquire(1); // R0.00, from capacity
    limiter.acquire(3); // R0.00, from capacity

    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.2);
  }

  public void testOneSecondBurst() {
    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    stopwatch.sleepMillis(1000); // max capacity reached
    stopwatch.sleepMillis(1000); // this makes no difference
    limiter.acquire(1); // R0.00, since it's the first request

    limiter.acquire(1); // R0.00, from capacity
    limiter.acquire(3); // R0.00, from capacity