{header: generateHeader(0, 2048), shouldFail: true},
	{header: generateHeader(0, 2048+1), shouldFail: true},
}

func generateHeader(size, usersize int) http.Header {
	header := http.Header{}
	for i := range size {
		header.Set(strconv.Itoa(i), "")
	}
	userlength := 0
	for i := 0; userlength < usersize; i++ {
		userlength += len(userMetadataKeyPrefixes[0] + strconv.Itoa(i))
		header.Set(userMetadataKeyPrefixes[0]+strconv.Itoa(i), "")
	}

   * can hold setSize elements with the desired load factor.
   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;

	if err != nil {
		log.Fatal(err)
	}

	setSize := len(format.XL.Sets[0])

	expectedDisksName := make(map[string]string)
	actualDisksName := make(map[string]string)

	// Calculate the set/disk index
	for _, disk := range localDisks {
		expectedDisksName[fmt.Sprintf("%d-%d", disk.index/setSize, disk.index%setSize)] = disk.path
		format, err := getFormatJSON(disk.path)
		if err != nil {

    }

    /**
     * Sets the size of results for the request.
     * @param size The size.
     * @return This builder instance.
     */
    public PopularWordsRequestBuilder setSize(final int size) {
        request.setSize(size);
        return this;
    }

    /**
     * Adds a tag to filter by.
     * @param tag The tag.
     * @return This builder instance.
     */

from tensorflow.python.lib.io import file_io as _fi

# Get sitepackages directories for the python installation.
_site_packages_dirs = []
if _site.ENABLE_USER_SITE and _site.USER_SITE is not None:
  _site_packages_dirs += [_site.USER_SITE]
_site_packages_dirs += [p for p in _sys.path if "site-packages" in p]
if "getsitepackages" in dir(_site):
  _site_packages_dirs += _site.getsitepackages()

    }

    /**
     * Sets the size of results for the request.
     * @param size The size.
     * @return This builder instance.
     */
    public SuggestRequestBuilder setSize(final int size) {
        request.setSize(size);
        return this;
    }

    /**
     * Sets the query string for the request.
     * @param query The query string.
     * @return This builder instance.
     */

from tensorflow.python.lib.io import file_io as _fi

# Get sitepackages directories for the python installation.
_site_packages_dirs = []
_site_packages_dirs += [] if _site.USER_SITE is None else [_site.USER_SITE]
_site_packages_dirs += [p for p in _sys.path if "site-packages" in p]
if "getsitepackages" in dir(_site):
  _site_packages_dirs += _site.getsitepackages()

for _scheme in sysconfig.get_scheme_names():

        urlQueueService.insert(urlQueue);
        assertTrue(fesenClient.prepareSearch("fess_crawler.queue")
                .setQuery(QueryBuilders.termQuery("sessionId", "sessionId"))
                .setSize(0)
                .execute()
                .actionGet()
                .getHits()
                .getTotalHits()
                .value() > 0);

        urlQueueService.delete("sessionId");

     */
    public void setIndex(final String index) {
        this.index = index;
    }

    /**
     * Sets the size of results.
     * @param size The size.
     */
    public void setSize(final int size) {
        this.size = size;
    }

    /**
     * Sets the seed for random function.
     * @param seed The seed.
     */
    public void setSeed(final String seed) {

                final PopularWordsRequestBuilder popularWordsRequestBuilder = suggestHelper.suggester()
                        .popularWords()
                        .setSize(fessConfig.getSuggestPopularWordSizeAsInteger())
                        .setWindowSize(fessConfig.getSuggestPopularWordWindowSizeAsInteger())