Map.of("_default", List.of("QUERY1")), //
                Set.of("QUERY1"), //
                buildQuery("QUERY1^10"));

        assertQueryContext(

      case 2:
        return nums.get(start).multiply(nums.get(start + 1));
      case 3:
        return nums.get(start).multiply(nums.get(start + 1)).multiply(nums.get(start + 2));
      default:
        // Otherwise, split the list in half and recursively do this.
        int m = (end + start) >>> 1;
        return listProduct(nums, start, m).multiply(listProduct(nums, m, end));
    }
  }

  /**

					}
					atomic.AddInt64(&ops, int64(n))
					atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")

	}
	if skipOffset < 0 {
		panic("Negative rotations are not allowed")
	}

	skipOffset %= int64(len(alphabets))
	const multiply = 100
	as := bytes.Repeat(alphabets, multiply)
	b := as[skipOffset : skipOffset+int64(len(alphabets)*(multiply-1))]
	return &DummyDataGen{
		length: totalLength,
		b:      b,
	}
}

func (d *DummyDataGen) Read(b []byte) (n int, err error) {
	k := len(b)

  static final double LARGE_INTEGER_VALUES_MEAN =
      BigInteger.valueOf(Integer.MAX_VALUE)
          .multiply(BigInteger.valueOf(3L))
          .divide(BigInteger.valueOf(4L))
          .doubleValue();
  static final double LARGE_INTEGER_VALUES_POPULATION_VARIANCE =
      BigInteger.valueOf(Integer.MAX_VALUE)
          .multiply(BigInteger.valueOf(Integer.MAX_VALUE))
          .divide(BigInteger.valueOf(16L))
          .doubleValue();

  static final double LARGE_INTEGER_VALUES_MEAN =
      BigInteger.valueOf(Integer.MAX_VALUE)
          .multiply(BigInteger.valueOf(3L))
          .divide(BigInteger.valueOf(4L))
          .doubleValue();
  static final double LARGE_INTEGER_VALUES_POPULATION_VARIANCE =
      BigInteger.valueOf(Integer.MAX_VALUE)
          .multiply(BigInteger.valueOf(Integer.MAX_VALUE))
          .divide(BigInteger.valueOf(16L))
          .doubleValue();

    }
  }

  @J2ktIncompatible
  @GwtIncompatible // multiply
  public void testTimes() {
    for (int a : TEST_INTS) {
      for (int b : TEST_INTS) {
        UnsignedInteger aUnsigned = UnsignedInteger.fromIntBits(a);
        UnsignedInteger bUnsigned = UnsignedInteger.fromIntBits(b);
        int expected =
            force32(aUnsigned.bigIntegerValue().multiply(bUnsigned.bigIntegerValue()).intValue());

	VFRDIVVF	F10, V2, V0, V3			// d7512584

	// 31.13.5: Vector Widening Floating-Point Multiply
	VFWMULVV	V1, V2, V3			// d79120e2
	VFWMULVV	V1, V2, V0, V3			// d79120e0
	VFWMULVF	F10, V2, V3			// d75125e2
	VFWMULVF	F10, V2, V0, V3			// d75125e0

	// 31.13.6: Vector Single-Width Floating-Point Fused Multiply-Add Instructions
	VFMACCVV	V2, V1, V3			// d79120b2
	VFMACCVV	V2, V1, V0, V3			// d79120b0

        long time = System.currentTimeMillis();
        BigInteger filetime = BigInteger.valueOf(time)
                .add(BigInteger.valueOf(SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601))
                .multiply(BigInteger.valueOf(10000L));

        byte[] data = new byte[8];
        long low = filetime.longValue();
        long high = filetime.shiftRight(32).longValue();

        // write little-endian

              // It's definitely safe to multiply into numerator and denominator.
              numerator *= n;
              denominator *= i;
              numeratorBits += nBits;
            } else {
              // It might not be safe to multiply into numerator and denominator,
              // so multiply (numerator / denominator) into result.