*
 * <p>Bloom filters are serializable. They also support a more compact serial representation via the
 * {@link #writeTo} and {@link #readFrom} methods. Both serialized forms will continue to be
 * supported by future versions of this library. However, serial forms generated by newer versions
 * of the code may not be readable by older versions of the code (e.g., a serialized Bloom filter

        }
      }
      return left.length - right.length;
    }

    @Override
    public String toString() {
      return "Doubles.lexicographicalComparator()";
    }
  }

  /**
   * Sorts the elements of {@code array} in descending order.
   *
   * <p>Note that this method uses the total order imposed by {@link Double#compare}, which treats
   * all NaN values as equal and 0.0 as greater than -0.0.
   *

    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Floats.toArray(bytes)).isEqualTo(array);
    assertThat(Floats.toArray(shorts)).isEqualTo(array);

    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Ints.toArray(bytes)).isEqualTo(array);
    assertThat(Ints.toArray(shorts)).isEqualTo(array);

    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Floats.toArray(bytes)).isEqualTo(array);
    assertThat(Floats.toArray(shorts)).isEqualTo(array);

        response = spy(response);
        when(response.getHeaderStart()).thenReturn(0);

        // Note: Due to bug in line 96 (commented out bufferIndex = bufferOffset),
        // the decode starts at bufferIndex=8 instead of dataOffset=80
        // So we need to write data at bufferIndex=8

        // Write first FileBothDirectoryInfo at bufferIndex=8

   *
   * <p>Note that {@code toArray(new Object[0])} is identical in function to {@code toArray()}.
   *
   * @param a the array into which the elements of the queue are to be stored, if it is big enough;
   *     otherwise, a new array of the same runtime type is allocated for this purpose
   * @return an array containing all of the elements in this queue

* `tax: float = 10.5` has a default of `10.5`.
* `tags: List[str] = []` has a default of an empty list: `[]`.

but you might want to omit them from the result if they were not actually stored.

For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

But still, the final experience is not the best. 😞

---

This would be the parallel equivalent story for burgers. 🍔

For a more "real life" example of this, imagine a bank.

//
// The table's upper portion shows the [Header] fields, where each format reports
// the maximum number of bytes allowed for each string field and
// the integer type used to store each numeric field
// (where timestamps are stored as the number of seconds since the Unix epoch).
//
// The table's lower portion shows specialized features of each format,
// such as supported string encodings, support for sub-second timestamps,