}

  /** Resizes the entries storage if necessary. */
  private void resizeMeMaybe(int newSize) {
    int entriesSize = requireEntries().length;
    if (newSize > entriesSize) {
      // 1.5x but round up to nearest odd (this is optimal for memory consumption on Android)
      int newCapacity = min(CompactHashing.MAX_SIZE, (entriesSize + max(1, entriesSize >>> 1)) | 1);
      if (newCapacity != entriesSize) {

	mapIfNotPresent := func(m map[string]string, key string, val string) {
		_, found := m[key]
		if !found {
			m[key] = val
		}
	}

	_, found := hostAnonymizer[currentURL]
	if !found {
		// In distributed setup, anonymized addr = 'poolNum.serverNum'
		newHost := fmt.Sprintf("pool%d.server%d", poolNum, srvrNum)

	var b bytes.Buffer
	tw := NewWriter(&b)
	hdr := &Header{
		Name:       "file.txt",
		Uid:        1 << 21, // Too big for 8 octal digits
		Size:       int64(len(data)),
		ModTime:    time.Now().Round(time.Second),
		PAXRecords: map[string]string{"uid": "2097152"},
		Format:     FormatPAX,
		Typeflag:   TypeReg,
	}
	if err := tw.WriteHeader(hdr); err != nil {
		t.Fatalf("tw.WriteHeader: %v", err)
	}

   *
   * <p>If {@link CharSource#asByteSource} is called on the returned source with the same charset,
   * the default implementation of this method will ensure that the original {@code ByteSource} is
   * returned, rather than round-trip encoding. Subclasses that override this method should behave
   * the same way.
   */
  public CharSource asCharSource(Charset charset) {
    return new AsCharSource(charset);
  }

  /**

   * obtained by calling {@code snapshot()} on the same {@link StatsAccumulator} without adding any
   * values in between the two calls, or if one is obtained from the other after round-tripping
   * through java serialization. However, floating point rounding errors mean that it may be false
   * for some instances where the statistics are mathematically equal, including instances

  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;

it('-')[0];return o=Y(+n)?[+n,0]:X(n,p,s,d),'left'===d?(p.top+=o[0],p.left-=o[1]):'right'===d?(p.top+=o[0],p.left+=o[1]):'top'===d?(p.left+=o[0],p.top-=o[1]):'bottom'===d&&(p.left+=o[0],p.top+=o[1]),e.popper=p,e}var Q=Math.min,Z=Math.floor,$=Math.round,ee=Math.max,te='undefined'!=typeof window&&'undefined'!=typeof document&&'undefined'!=typeof navigator,oe=function(){for(var e=['Edge','Trident','Firefox'],t=0;t<e.length;t+=1)if(te&&0<=navigator.userAgent.indexOf(e[t]))return 1;return 0}(),ne=te&...

    assertSame(testEquivalence, map.valueEquivalence);
    assertSame(map.keyStrength.defaultEquivalence(), map.keyEquivalence);
  }

  public void testSetConcurrencyLevel() {
    // round up to the nearest power of two

    checkConcurrencyLevel(1, 1);
    checkConcurrencyLevel(2, 2);
    checkConcurrencyLevel(3, 4);
    checkConcurrencyLevel(4, 4);
    checkConcurrencyLevel(5, 8);

   */
  @VisibleForTesting
  static int optimalNumOfHashFunctions(double p) {
    // -log(p) / log(2), ensuring the result is rounded to avoid truncation.
    return max(1, (int) Math.round(-Math.log(p) / LOG_TWO));
  }

  /**
   * Computes m (total bits of Bloom filter) which is expected to achieve, for the specified
   * expected insertions, the required false positive probability.
   *

      int[] allRequired, int requiredFrom, int requiredTo, int from, int to) {
    if (requiredFrom == requiredTo) {
      return requiredFrom; // only one thing to choose, so choose it
    }

    // Find the center and round down. The true center is either centerFloor or halfway between
    // centerFloor and centerFloor + 1.
    int centerFloor = (from + to) >>> 1;