* Wraps the document list with additional information about the search operation
     * including record counts, timing, and pagination details.
     *
     * @param documentList the list of search result documents
     * @param allRecordCount the total number of records found
     * @param allRecordCountRelation the relationship of the record count (exact, approximate, etc.)
     * @param queryTime the time taken to execute the search query

   * desired count.
   *
   * @param element the element to add or remove occurrences of; may be null only if explicitly
   *     allowed by the implementation
   * @param count the desired count of the element in this multiset
   * @return the count of the element before the operation; possibly zero
   * @throws IllegalArgumentException if {@code count} is negative

      }
      return textToNumericFormatV4(ipString);
    }
    return null;
  }

  private static byte @Nullable [] textToNumericFormatV4(String ipString) {
    if (IPV4_DELIMITER_MATCHER.countIn(ipString) + 1 != IPV4_PART_COUNT) {
      return null; // Wrong number of parts
    }

    byte[] bytes = new byte[IPV4_PART_COUNT];
    int start = 0;
    // Iterate through the parts of the ip string.

  - *apiserver_cache_list_total*: Counter of LIST requests served from watch cache, broken down by resource_prefix and index_name
  - *apiserver_cache_list_fetched_objects_total*: Counter of objects read from watch cache in the course of serving a LIST request, broken down by resource_prefix and index_name

    }

    private long countTmpFiles() {
        return Arrays.stream(Objects.requireNonNull(Curl.tmpDir.listFiles())).map(File::getName)
                .filter(s -> s.startsWith(PREFIX) && s.endsWith(SUFFIX)).count();
    }

        long now = System.currentTimeMillis();
        lastFailureTimes.entrySet().removeIf(entry -> now - entry.getValue() > FAILURE_RECOVERY_TIME * 2);

        // Clean up old consecutive failure counters
        consecutiveFailures.entrySet().removeIf(entry -> {
            String key = entry.getKey();
            Long lastFailure = lastFailureTimes.get(key);

        System.gc();
        Thread.sleep(200);

        // Check for leaks
        resourceManager.checkForLeaks();

        Map<String, Object> stats = resourceManager.getStatistics();
        // The leak counter may or may not increment depending on GC timing
        assertNotNull(stats.get("totalLeaks"));
    }

    private void createLeakyResource() {
        TestResource resource = new TestResource("leaky");

      Thread.sleep(250)
      backend.shutdown()
      return@schedule -1L
    }

    assertThat(queue.idleLatch().await(500L, TimeUnit.MILLISECONDS)).isTrue()
    assertThat(queue.idleLatch().count).isEqualTo(0)
  }

        .build(),
    )
    val asyncRequestBody: RequestBody =
      object : RequestBody() {
        var counter = 0

        override fun contentType() = null

        override fun writeTo(sink: BufferedSink) {
          counter++
          assertThat(counter).isLessThanOrEqualTo(1)
          sink.writeUtf8("Hello request!")
          sink.close()
        }

panic("crypto/cipher: incorrect nonce length given to GCM") } counter := byteorder.BEUint64(nonce[len(nonce)-8:]) if !g.ready { // In the first call, the counter is zero, so we learn the XOR mask. g.ready = true g.mask = counter } counter ^= g.mask // Ensure the counter is monotonically increasing. if counter == math.MaxUint64 { panic("crypto/cipher: counter wrapped") } if counter < g.next { panic("crypto/cipher: counter decreased") } g.next = counter + 1 fips140.RecordApproved() return g.g.sealAfterIndicator(dst,...