just a feature that seems like a sensible addition to Guava?


        Before new features get added to Guava, we really want to be sure that it's for a use case
        that actually comes up in the real world. We want to hear the real-world use case so the
        community can discuss and debate whether this feature is actually the *best* way to address

            parameterOffset += pad;

            totalParameterCount = writeParametersWireFormat(txn_buf, bufParameterOffset);
            bufDataOffset = totalParameterCount; // data comes right after data

            int available = maxBufferSize - parameterOffset;
            parameterCount = Math.min(totalParameterCount, available);
            available -= parameterCount;

     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many
     * exactly matching hash codes, which would cause construction to take O(n^2), but can't detect
     * e.g. hash codes adversarially designed to go into ascending table locations, which keeps
     * construction O(n) (as desired) but then can have O(n) queries later.
     *

import java.util.regex.Pattern;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.io.CloseableUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Pair;
import org.codelibs.fess.app.service.FailureUrlService;
import org.codelibs.fess.crawler.builder.RequestDataBuilder;
import org.codelibs.fess.crawler.client.CrawlerClient;

  }

  /**
   * Either writes this request to [sink] or measures its content length. We have one method do
   * double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */
  @Throws(IOException::class)
  private fun writeOrCountBytes(

         * @return negative if this has higher priority, positive if other has higher priority
         */
        @Override
        public int compareTo(final PathPattern other) {
            // Higher priority length comes first (descending order)
            return Integer.compare(other.priorityLength, this.priorityLength);
        }

        @Override
        public String toString() {

    // Helper to lookup a message by code using the production arrays
    private static Optional<String> lookupMessage(int code) {
        int[] codes = WinError.WINERR_CODES;
        String[] msgs = WinError.WINERR_MESSAGES;
        for (int i = 0; i < codes.length; i++) {
            if (codes[i] == code) {
                return Optional.of(msgs[i]);
            }
        }
        return Optional.empty();
    }

        faultCodes.add(DcerpcError.DCERPC_FAULT_PROTO_ERROR);

        // Verify all 9 codes are unique
        assertEquals(9, faultCodes.size(), "All fault codes should be unique");
    }

    @Test
    @DisplayName("Should verify fault code value ranges and patterns")
    void testFaultCodeValueRanges() {
        // Standard fault codes (0x00000000 - 0x0000FFFF range)

  }

  /**
   * Returns a hash code, having the same bit length as each of the input hash codes, that combines
   * the information of these hash codes in an ordered fashion. That is, whenever two equal hash
   * codes are produced by two calls to this method, it is <i>as likely as possible</i> that each
   * was computed from the <i>same</i> input hash codes in the <i>same</i> order.
   *

import org.codelibs.core.beans.BeanDesc;
import org.codelibs.core.beans.PropertyDesc;
import org.codelibs.core.beans.factory.BeanDescFactory;
import org.codelibs.core.io.CloseableUtil;
import org.codelibs.core.io.CopyUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Pair;
import org.codelibs.core.timer.TimeoutManager;
import org.codelibs.core.timer.TimeoutTask;