if abs(real(m)) >= abs(imag(m)) {
		ratio := imag(m) / real(m)
		denom := real(m) + ratio*imag(m)
		e = (real(n) + imag(n)*ratio) / denom
		f = (imag(n) - real(n)*ratio) / denom
	} else {
		ratio := real(m) / imag(m)
		denom := imag(m) + ratio*real(m)
		e = (real(n)*ratio + imag(n)) / denom
		f = (imag(n)*ratio - real(n)) / denom
	}

	if isNaN(e) && isNaN(f) {

	defer trh.Unlock()
	trh.numerator = numerator
	ratio := numerator / trh.denominator
	trh.getGaugeOfRatio().Set(ratio)
}

func (trh *timingRatioHistogramInner) Add(deltaNumerator float64) {
	trh.Lock()
	defer trh.Unlock()
	numerator := trh.numerator + deltaNumerator
	trh.numerator = numerator
	ratio := numerator / trh.denominator
	trh.getGaugeOfRatio().Set(ratio)
}

func Percentage(value, total int64) string {
	var ratio float64
	if total != 0 {
		ratio = math.Abs(float64(value)/float64(total)) * 100
	}
	switch {
	case math.Abs(ratio) >= 99.95 && math.Abs(ratio) <= 100.05:
		return "  100%"
	case math.Abs(ratio) >= 1.0:
		return fmt.Sprintf("%5.2f%%", ratio)
	default:
		return fmt.Sprintf("%5.2g%%", ratio)
	}
}

        [Insufficient.LINE_METRIC_COVERED_RATIO]                    | 'line metric with covered ratio'                                         | 'lines covered ratio is 1.0, but expected maximum is 0.5'

			}
			return
		}
		// If n ops run in under a second and the ratio
		// doesn't work out, make n bigger, trying to reduce
		// the effect that a constant amount of overhead has
		// on the computed ratio.
		if t1 < 1*time.Second {
			n *= 2
			continue
		}
		// Once the test runs long enough for n ops,
		// try to get the right ratio at least once.
		// If five in a row all fail, give up.
		if fails++; fails >= 5 {

  return total


def get_size_ratio(path_a: str, path_b: str) -> float:
  """Return the size ratio of the given paths.

  Args:
    path_a: Path of a directory or a file to be the nominator of the ratio.
    path_b: Path of a directory or a file to be the denominator of the ratio.

  Returns:
    Ratio of size of path_a / size of path_b.
  """
  size_a = get_dir_size(path_a)
  size_b = get_dir_size(path_b)

					assertInRange(t, "goal ratio", c[n-1].goalRatio(), 0.925, 1.025)
					// Next, let's make sure there's some minimum distance between the goal
					// and the trigger. It should be proportional to the runway (hence the
					// trigger ratio check, instead of a check against the runway).
					assertInRange(t, "trigger ratio", c[n-1].triggerRatio(), 0.925, 0.975)
				}
				if n > 25 {

			}
			return
		}
		// If n ops run in under a second and the ratio
		// doesn't work out, make n bigger, trying to reduce
		// the effect that a constant amount of overhead has
		// on the computed ratio.
		if t1 < 1*time.Second {
			n *= 2
			continue
		}
		// Once the test runs long enough for n ops,
		// try to get the right ratio at least once.
		// If five in a row all fail, give up.
		if fails++; fails >= 5 {

// calls to revise.
//
// The result of this race is that the two assist ratio values may not line
// up or may be stale. In practice this is OK because the assist ratio
// moves slowly throughout a GC cycle, and the assist ratio is a best-effort
// heuristic anyway. Furthermore, no part of the heuristic depends on
// the two assist ratio values being exact reciprocals of one another, since

limitations under the License.
*/

package metrics

import (
	"fmt"
)

// GetResourceUtilizationRatio takes in a set of metrics, a set of matching requests,
// and a target utilization percentage, and calculates the ratio of
// desired to actual utilization (returning that, the actual utilization, and the raw average value)