53 lines
1.6 KiB
Go
53 lines
1.6 KiB
Go
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package gago
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import "math/rand"
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// InitUnifFloat64 generates random float64s x such that lower < x < upper.
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func InitUnifFloat64(n int, lower, upper float64, rng *rand.Rand) (floats []float64) {
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floats = make([]float64, n)
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for i := range floats {
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floats[i] = lower + rng.Float64()*(upper-lower)
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}
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return
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}
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// InitJaggFloat64 generates random float64s x such that lower < x < upper with jagged bounds
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func InitJaggFloat64(n int, lower, upper []float64, rng *rand.Rand) (floats []float64) {
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floats = make([]float64, n)
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for i := range floats {
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floats[i] = lower[i] + rng.Float64()*(upper[i]-lower[i])
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}
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return
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}
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// InitNormFloat64 generates random float64s sampled from a normal distribution.
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func InitNormFloat64(n int, mean, std float64, rng *rand.Rand) (floats []float64) {
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floats = make([]float64, n)
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for i := range floats {
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floats[i] = rng.NormFloat64()*std + mean
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}
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return
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}
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// InitUnifString generates random strings based on a given corpus. The strings
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// are not necessarily distinct.
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func InitUnifString(n int, corpus []string, rng *rand.Rand) (strings []string) {
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strings = make([]string, n)
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for i := range strings {
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strings[i] = corpus[rng.Intn(len(corpus))]
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}
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return
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}
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// InitUniqueString generates random string slices based on a given corpus, each
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// element from the corpus is only represented once in each slice. The method
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// starts by shuffling, it then assigns the elements of the corpus in increasing
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// index order to an individual.
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func InitUniqueString(n int, corpus []string, rng *rand.Rand) (strings []string) {
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strings = make([]string, n)
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for i, v := range randomInts(n, 0, len(corpus), rng) {
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strings[i] = corpus[v]
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}
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return
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}
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