// Verify O(1) performance - should be reasonably fast (allowing for JVM overhead)
        assertTrue(avgAllocTimeNs < 10000, "Average allocation should be under 10000ns (O(1) performance)");
        assertTrue(avgReleaseTimeNs < 10000, "Average release should be under 10000ns (O(1) performance)");
        assertEquals(threadCount * operationsPerThread, allocations.get());

            int consumed = Math.min(19, reqPath.length());

            data1 = DfsReferralDataImpl.fromReferral(mockReferral, reqPath, System.currentTimeMillis() + 10000, consumed);

            data2 = DfsReferralDataImpl.fromReferral(mockReferral, reqPath, System.currentTimeMillis() + 10000, consumed);
        }

        @Test
        @DisplayName("Should be equal for same values")
        void testEquals() {

        .addEqualityGroup(BloomFilter.create(byteArrayFunnel(), 100, 0.01))
        .addEqualityGroup(BloomFilter.create(byteArrayFunnel(), 100, 0.02))
        .addEqualityGroup(BloomFilter.create(byteArrayFunnel(), 200, 0.01))
        .addEqualityGroup(BloomFilter.create(byteArrayFunnel(), 200, 0.02))
        .addEqualityGroup(BloomFilter.create(unencodedCharsFunnel(), 100, 0.01))

     * Set to -1 to disable automatic purging of search logs.
     */
    @Min(-1)
    @Max(100000)
    @ValidateTypeFailure
    public Integer purgeSearchLogDay;

    /**
     * Number of days to keep job logs before purging.
     * Set to -1 to disable automatic purging of job logs.
     */
    @Min(-1)
    @Max(100000)
    @ValidateTypeFailure
    public Integer purgeJobLogDay;

    /**

        String result =
                "{\"bool\":{\"should\":[{\"geo_distance\":{\"location\":[151.0,35.0],\"distance\":1000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}},{\"geo_distance\":{\"location\":[150.0,34.0],\"distance\":10000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}}],\"adjust_pure_negative\":true,\"boost\":1.0}}";

    val heldCertificate =
      HeldCertificate
        .Builder()
        .validityInterval(5000L, 10000L)
        .build()
    val certificate = heldCertificate.certificate
    assertThat(certificate.notBefore.time).isEqualTo(5000L)
    assertThat(certificate.notAfter.time).isEqualTo(10000L)
  }

  @Test
  fun customDuration() {
    val now = System.currentTimeMillis()
    val heldCertificate =

        if (timeout100Ns == 0) {
            return 0; // Persistent handles
        }
        // Convert from 100-nanosecond intervals to milliseconds
        // 1 ms = 10,000 * 100ns intervals
        return timeout100Ns / 10000L;
    }

    /**
     * Get the flags
     * @return the flags
     */
    public int getFlags() {
        return flags;
    }

    /**

      result[i] = allMatchingChars.charAt(random.nextInt(allMatchingChars.length()));
    }
    // Replace some of chars by non-matching.
    int remaining = (int) ((100 - percentMatching) * result.length / 100.0 + 0.5);
    while (remaining > 0) {
      char c = (char) random.nextInt();
      if (bitSet.get(c)) {
        int pos = random.nextInt(result.length);
        if (bitSet.get(result[pos])) {
          result[pos] = c;

      result[i] = allMatchingChars.charAt(random.nextInt(allMatchingChars.length()));
    }
    // Replace some of chars by non-matching.
    int remaining = (int) ((100 - percentMatching) * result.length / 100.0 + 0.5);
    while (remaining > 0) {
      char c = (char) random.nextInt();
      if (bitSet.get(c)) {
        int pos = random.nextInt(result.length);
        if (bitSet.get(result[pos])) {
          result[pos] = c;

		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>
	<dd>