struct TF_DeviceList {
  std::vector<tensorflow::DeviceAttributes> response;
};

struct TF_Function {
  tensorflow::FunctionRecord* record;
};

struct TF_ApiDefMap {
  explicit TF_ApiDefMap(const tensorflow::OpList& op_list)
      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        update_docs_called(false) {
  }

            sourceMap.putAll(fields);
        }
        final Map<String, List<String>> searchFieldMap = searchFieldLogList.stream()
                .collect(Collectors.groupingBy(Pair::getFirst, Collectors.mapping(Pair::getSecond, Collectors.toList())));
        sourceMap.put("searchField", searchFieldMap);
        final Map<String, List<String>> headerMap = headerList.stream()

            if (newDoc.get(indexFieldLang) instanceof final List<?> langList) {
                if (langList.contains("auto")) {
                    newDoc.remove(indexFieldLang);
                }
                languageHelper.updateDocument(newDoc);
            }
            return newDoc;
        }).toList();
        if (fessConfig.isThumbnailCrawlerEnabled()) {

        this.resolvePublicAddresses = resolvePublicAddresses
      }

    fun bootstrapDnsHosts(bootstrapDnsHosts: List<InetAddress>?) =
      apply {
        this.bootstrapDnsHosts = bootstrapDnsHosts
      }

    fun bootstrapDnsHosts(vararg bootstrapDnsHosts: InetAddress): Builder = bootstrapDnsHosts(bootstrapDnsHosts.toList())

    fun systemDns(systemDns: Dns) =
      apply {
        this.systemDns = systemDns
      }

import java.util.Deque

class RecordingCookieJar : CookieJar {
  private val requestCookies: Deque<List<Cookie>> = ArrayDeque()
  private val responseCookies: Deque<List<Cookie>> = ArrayDeque()

  fun enqueueRequestCookies(vararg cookies: Cookie) {
    requestCookies.add(cookies.toList())
  }

  fun takeResponseCookies(): List<Cookie> = responseCookies.removeFirst()

  fun assertResponseCookies(vararg cookies: String?) {

    List<List<Integer>> actual = cartesianProduct(list(1, 2), list(3, 4));
    assertTrue(actual.contains(list(1, 3)));
    assertTrue(actual.contains(list(1, 4)));
    assertTrue(actual.contains(list(2, 3)));
    assertTrue(actual.contains(list(2, 4)));
    assertFalse(actual.contains(list(3, 1)));
  }

  public void testCartesianProduct_indexOf() {
    List<List<Integer>> actual = cartesianProduct(list(1, 2), list(3, 4));

                listOf(listOf(performanceTestDuration))
            }
            val smallElementAggregateFunction: (List<PerformanceTestDuration>) -> List<PerformanceTestDuration> = { it }

            val buckets: List<List<PerformanceTestDuration>> =
                splitIntoBuckets(
                    list,
                    toIntFunction,
                    largeElementSplitFunction,

  }

  // Fast path: no characters in [pos..limit) required encoding.
  return substring(pos, limit)
}

internal fun Buffer.writePercentDecoded(
  encoded: String,
  pos: Int,
  limit: Int,
  plusIsSpace: Boolean,
) {
  var codePoint: Int
  var i = pos
  while (i < limit) {
    codePoint = encoded.codePointAt(i)
    if (codePoint == '%'.code && i + 2 < limit) {
      val d1 = encoded[i + 1].parseHexDigit()

        // When both are enabled, batch limits should be available
        int limit = config.getBatchLimit("TreeConnectAndX.QueryInformation");
        assertTrue(limit >= 0, "Batch limit should be non-negative when Unicode and batching enabled");
    }

    /**
     * Test configuration when batching is disabled
     */
    @Test
    @DisplayName("Batch limit configuration with batching disabled")

     */
    public List<?> getSearchLogList(final SearchLogPager pager) {
        final EsPagingResultBean<?> list;
        if (SearchLogPager.LOG_TYPE_USERINFO.equalsIgnoreCase(pager.logType)) {
            list = (EsPagingResultBean<?>) userInfoBhv.selectPage(cb -> {
                cb.paging(pager.getPageSize(), pager.getCurrentPageNumber());
                cb.query().addOrderBy_UpdatedAt_Desc();