Golang Rand.ExpFloat64方法代碼示例

func time_to_deadline(r *rand.Rand, desiredRate float64) (next_deadline time.Duration) {
	//ExpFloat64 returns an exponentially distributed float64 in the range (0, +math.MaxFloat64]
	// with an exponential distribution whose rate parameter (lambda)
	// is 1 and whose mean is 1/lambda (1) from the default Source.
	//To produce a distribution with a different rate parameter, callers can adjust the output using:
	// sample := rand.ExpFloat64() / desiredRateParameter

	// desiredRateNanos := desiredRate/10e8
	sample := r.ExpFloat64() / desiredRate
	return time.Duration(int64(sample * 10e8))
}

// LabeledEuclidean generates a random simple graph on the Euclidean plane.
//
// Arc label values in the returned graph g are indexes into the return value
// wt.  Wt is the Euclidean distance between the from and to nodes of the arc.
//
// Otherwise the function arguments and return values are the same as for
// function Euclidean.  See Euclidean.
func LabeledEuclidean(nNodes, nArcs int, affinity float64, patience int, r *rand.Rand) (g LabeledDirected, pos []struct{ X, Y float64 }, wt []float64, err error) {
	a := make(LabeledAdjacencyList, nNodes) // graph
	wt = make([]float64, nArcs)             // arc weights
	// generate random positions
	if r == nil {
		r = rand.New(rand.NewSource(time.Now().UnixNano()))
	}
	pos = make([]struct{ X, Y float64 }, nNodes)
	for i := range pos {
		pos[i].X = r.Float64()
		pos[i].Y = r.Float64()
	}
	// arcs
	var tooFar, dup int
arc:
	for i := 0; i < nArcs; {
		if tooFar == nArcs*patience {
			err = errors.New("affinity not found")
			return
		}
		if dup == nArcs*patience {
			err = errors.New("overcrowding")
			return
		}
		n1 := NI(r.Intn(nNodes))
		var n2 NI
		for {
			n2 = NI(r.Intn(nNodes))
			if n2 != n1 { // no graph loops
				break
			}
		}
		c1 := &pos[n1]
		c2 := &pos[n2]
		dist := math.Hypot(c2.X-c1.X, c2.Y-c1.Y)
		if dist*affinity > r.ExpFloat64() { // favor near nodes
			tooFar++
			continue
		}
		for _, nb := range a[n1] {
			if nb.To == n2 { // no parallel arcs
				dup++
				continue arc
			}
		}
		wt[i] = dist
		a[n1] = append(a[n1], Half{n2, LI(i)})
		i++
	}
	g = LabeledDirected{a}
	return
}

// randomSize generates a size greater or equal to zero, with a random
// distribution that is skewed towards zero and ensures that most
// generated values are smaller than `mag`.
func randomSize(rnd *rand.Rand, mag int64) int64 {
	return int64(rnd.ExpFloat64() * float64(mag) * 0.3679)
}