.that(ratio)
          .isAtMost(
              2
                  * constructionAsymptotics.applyAsDouble(largeSize)
                  / constructionAsymptotics.applyAsDouble(smallSize));
      // allow up to 2x wobble in the constant factors
    }
  }

  public void testResistsHashFloodingOnQuery() {
    CallsCounter smallCounter = new CallsCounter();

        hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL
        ubhzEFnTIZd+50xx+7LSYK05qAvqFyFWhfFQDlnrzuBZ6brJFe+GnY+EgPbk6ZGQ
        3BebYhtF8GaV0nxvwuo77x/Py9auJ/GpsMiu/X1+mvoiBOv/2X/qkSsisRcOj/KK
        NFtY2PwByVS5uCbMiogziUwthDyC3+6WVwW6LLv3xLfHTjuCvjHIInNzktHCgKQ5
        ORAzI4JMPJ+GslWYHb4phowim57iaztXOoJwTdwJx4nLCgdNbOhdjsnvzqvHu7Ur
        TkXWStAmzOVyyghqpZXjFaH3pO3JLF+l+/+sKAIuvtd7u+Nxe5AW0wdeRlN8NwdC

   *
   * <p>For hashtable sizes less than or equal to 32, the returned power of 2 is 4x the current
   * hashtable size to reduce expensive rehashing. Otherwise the returned power of 2 is 2x the
   * current hashtable size.
   */
  static int newCapacity(int mask) {
    return ((mask < 32) ? 4 : 2) * (mask + 1);
  }

  /** Returns the hash prefix given the current mask. */

   *
   * <p>For hashtable sizes less than or equal to 32, the returned power of 2 is 4x the current
   * hashtable size to reduce expensive rehashing. Otherwise the returned power of 2 is 2x the
   * current hashtable size.
   */
  static int newCapacity(int mask) {
    return ((mask < 32) ? 4 : 2) * (mask + 1);
  }

  /** Returns the hash prefix given the current mask. */

	f.UncompressedSize64 = uint64(f.UncompressedSize)
	filenameLen := int(b.uint16())
	extraLen := int(b.uint16())
	commentLen := int(b.uint16())
	b = b[4:] // skipped start disk number and internal attributes (2x uint16)
	f.ExternalAttrs = b.uint32()
	f.headerOffset = int64(b.uint32())
	d := make([]byte, filenameLen+extraLen+commentLen)
	if _, err := io.ReadFull(r, d); err != nil {
		return err
	}

        assertTrue("Set-based lookup should be faster or comparable to array-based lookup for large datasets",
                setDuration <= arrayDuration * 2); // Allow 2x margin for test stability
    }

    /**
     * Helper method to create a test FessConfig.
     */
    private FessConfig createTestFessConfig() {
        return new FessConfig.SimpleImpl() {

        verify(raf, times(2)).write(any(byte[].class), anyInt(), eq(8)); // long and double
    }

    @Test
    @DisplayName("writeBytes(): writes string bytes; writeChars(): 2x length")
    void write_stringVariants() throws Exception {
        SmbRandomAccessFile raf = spy(newInstance("rw", false, true, false));
        doNothing().when(raf).write(any(byte[].class), anyInt(), anyInt());

	// we allocate buffers rounded up to the closest size class.
	c := len(b) + n // ensure enough space for n elements
	if c < 2*cap(b) {
		// The growth rate has historically always been 2x. In the future,
		// we could rely purely on append to determine the growth rate.
		c = 2 * cap(b)
	}
	b2 := append([]byte(nil), make([]byte, c)...)
	i := copy(b2, b)
	return b2[:i]
}

### 2. Infrastructure Requirements

Ensure your Fess environment meets these requirements:

- **Java**: JDK 17 or later
- **Memory**: Minimum 4GB RAM (8GB+ recommended for production)
- **Storage**: At least 2x your current index size
- **Network**: Access to crawl sources (web servers, file shares, databases)
- **Elasticsearch/OpenSearch**: Compatible version running

### 3. Backup Existing System

Before migration:

      int newCapacity = calculateNewCapacity();
      Object[] newQueue = new Object[newCapacity];
      arraycopy(queue, 0, newQueue, 0, queue.length);
      queue = newQueue;
    }
  }

  /** Returns ~2x the old capacity if small; ~1.5x otherwise. */
  private int calculateNewCapacity() {
    int oldCapacity = queue.length;
    int newCapacity =