DCHECK(tf_results->missing_unused_key_names_data.empty());

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =

        assertNotNull(response);
    }

    @Test
    public void test_setSize() throws Exception {
        indexItems();

        SuggestResponse response = suggester.suggest().setSize(5).execute().getResponse();

        assertNotNull(response);
    }

    @Test
    public void test_setQuery() throws Exception {
        indexItems();

Ian Lance Taylor <******@****.***> 1765577893 -0800

        assertNotNull(response);
    }

    @Test
    public void test_setSize() throws Exception {
        indexItems();

        PopularWordsResponse response = suggester.popularWords().setSize(5).execute().getResponse();

        assertNotNull(response);
    }

    @Test
    public void test_addTag() throws Exception {
        indexItems();

  static int chooseTableSize(int setSize) {
    setSize = max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.
    if (setSize < CUTOFF) {
      // Round up to the next highest power of 2.
      int tableSize = Integer.highestOneBit(setSize - 1) << 1;
      while (tableSize * DESIRED_LOAD_FACTOR < setSize) {
        tableSize <<= 1;
      }
      return tableSize;

            // Add a valid text entry
            final byte[] content1 = "Valid tar content テスト".getBytes("UTF-8");
            final TarArchiveEntry entry1 = new TarArchiveEntry("valid.txt");
            entry1.setSize(content1.length);
            tos.putArchiveEntry(entry1);
            tos.write(content1);
            tos.closeArchiveEntry();

            // Add another valid entry

        SuggestItem[] items = getPopularWordsItemSet2();
        suggester.indexer().index(items);
        suggester.refresh();

        PopularWordsResponse response = suggester.popularWords().setSize(2).execute().getResponse();

        assertEquals(5, response.getTotal());

        for (int i = 0; i < 5; i++) {
            assertEquals(2, response.getNum());
            boolean find = false;

        queue.clear();
    }

    /**
     * Sets the scroll size.
     * @param scrollSize The scroll size.
     */
    public void setScrollSize(final int scrollSize) {
        this.scrollSize = scrollSize;
    }

    /**
     * Sets the limit of document size.
     * @param limitOfDocumentSize The limit of document size.
     */
    public void setLimitOfDocumentSize(final long limitOfDocumentSize) {

        final int from;
        final int size;
        if (cb.isFetchScopeEffective()) {
            from = cb.getPageStartIndex();
            size = cb.getFetchSize();
        } else {
            from = 0;
            size = 10;
        }
        builder.setFrom(from);
        builder.setSize(size);
        final EsAbstractConditionBean esCb = (EsAbstractConditionBean) cb;

        assertEquals(itemsPerThread * numThreads, allUrls.size());

        urlQueueService.delete(sessionId);
    }

    public void test_poll_maxCrawlingQueueSizeTx() {
        final String sessionId = "poll_session5";
        final int maxSize = 5;
        urlQueueService.setMaxCrawlingQueueSize(maxSize);

        // Insert more items than max crawling queue size