for (size_t axis = 0; axis != axisSize; ++axis) {
    double rmin = rmins[axis];
    double rmax = rmaxs[axis];
    if (std::fabs(rmax - rmin) < std::numeric_limits<double>::epsilon()) {
      scales.push_back(1.0);
      zeroPoints.push_back(qmin);
      continue;
    }

    double scale;
    int64_t nudgedZeroPoint;
    getNudgedScaleAndZeroPoint(qmin, qmax, rmin, rmax, scale, nudgedZeroPoint);
    scales.push_back(scale);

/// convertible Type and issues an appropriate error.
quant::UniformQuantizedPerAxisType fakeQuantAttrsToType(
    Location loc, unsigned numBits, int32_t quantizedDimension,
    ArrayRef<double> rmins, ArrayRef<double> rmax, bool narrowRange,
    Type expressedType, bool isSigned = false);
}  // namespace quantfork
}  // namespace mlir

          // supports only symmetric quantization.
          rmax = std::max(std::abs(rmin), std::abs(rmax));
          rmin = -rmax;
        }
        TensorRangeSanityCheck(op, rmin, rmax);
        mins.push_back(rmin);
        maxs.push_back(rmax);
      }
      quant_type = quantfork::fakeQuantAttrsToType(
          op.getLoc(), num_bits, *op.getAxis(), mins, maxs, narrow_range,
          expressed, is_signed);

                                       std::optional<double> rmax, int32_t qmin,
                                       int32_t qmax) {
  auto quantize = [scale, zero_point](float f) {
    return zero_point + static_cast<int32_t>(std::round(f / scale));
  };

  if (rmin.has_value() && rmax.has_value()) {
    return {std::max(qmin, quantize(rmin.value())),

        gcMonitor.getNonHeapStats() >> new GarbageCollectionStats(0, 1024, 2048, 5)
        runningStats.getPrettyUpTime() >> "3 mins"
        runningStats.getAllBuildsTime() >> 1000

        then:
        healthStats.healthInfo == "[uptime: 3 mins, performance: 98%, GC rate: 1.00/s, heap usage: 10% of 1 KiB, non-heap usage: 50% of 2 KiB]"
    }

    def "handles no garbage collection data"() {
        when:

  SmallVector<double, 4> min_value, max_value;
  const auto mins = dyn_cast<DenseFPElementsAttr>(min);
  const auto maxs = dyn_cast<DenseFPElementsAttr>(max);
  if (mins && maxs) {
    min_value.reserve(mins.getNumElements());
    max_value.reserve(maxs.getNumElements());
    for (auto it = mins.begin(); it != mins.end(); ++it) {
      min_value.push_back(FloatAttr::getValueAsDouble(*it));
    }

        then:
        timer.getElapsed() == "32 mins 40.322 secs"
    }

    def testHoursMinutesAndSeconds() {
        when:
        setTime(3, 2, 5, 111)

        then:
        timer.getElapsed() == "3 hrs 2 mins 5.111 secs"
    }

    def testHoursZeroMinutes() {
        when:
        setTime(1, 0, 32, 0)

        then:
        timer.getElapsed() == "1 hrs 0 mins 32.0 secs"
    }

	// arm64:"FMAXD"
	// riscv64:"FMAX"
	// ppc64/power9:"XSMAXJDP"
	// ppc64/power10:"XSMAXJDP"
	return max(a, b)
}

func Float32Min(a, b float32) float32 {
	// amd64:"MINSS"
	// arm64:"FMINS"
	// riscv64:"FMINS"
	// ppc64/power9:"XSMINJDP"
	// ppc64/power10:"XSMINJDP"
	return min(a, b)
}

func Float32Max(a, b float32) float32 {
	// amd64:"MINSS"
	// arm64:"FMAXS"
	// riscv64:"FMAXS"

// Calculate the effective quantized value range for the scale, zero point. The
// range is the minimum range defined by [rmin, rmax] and [qmin, qmax].
QuantizedRange CalculateQuantizedRange(double scale, int32_t zero_point,
                                       std::optional<double> rmin,
                                       std::optional<double> rmax, int32_t qmin,
                                       int32_t qmax);

	"RDINSTRETH",
	"FRCSR",
	"FSCSR",
	"FRRM",
	"FSRM",
	"FRFLAGS",
	"FSFLAGS",
	"FSRMI",
	"FSFLAGSI",
	"FLW",
	"FSW",
	"FADDS",
	"FSUBS",
	"FMULS",
	"FDIVS",
	"FMINS",
	"FMAXS",
	"FSQRTS",
	"FMADDS",
	"FMSUBS",
	"FNMADDS",
	"FNMSUBS",
	"FCVTWS",
	"FCVTLS",
	"FCVTSW",
	"FCVTSL",
	"FCVTWUS",
	"FCVTLUS",
	"FCVTSWU",
	"FCVTSLU",
	"FSGNJS",