go: add slices manually
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@ -2,6 +2,7 @@
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- [x] Look into randomness sources in go
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- rand/v2 api: <https://pkg.go.dev/math/rand/v2>
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- [x] Test with a million samples of a simple lognormal, just to get a sense of speed
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- [ ] Add mixture distribution
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- [x] Add mixture distribution
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- [x] Anonymous functions for nested: https://stackoverflow.com/questions/74523441/nested-functions-in-o
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- [ ] Look into go routines for filling up an array.
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- [ ] Anonymous functions for nested: https://stackoverflow.com/questions/74523441/nested-functions-in-o
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- Mhh, it's different from threads.
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@ -84,6 +84,12 @@ func sample_mixture(fs []func64, weights []float64) float64 {
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}
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func slice_fill(xs []float64, fs func64) {
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for i := range xs {
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xs[i] = fs()
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}
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}
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func main() {
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var p_a float64 = 0.8
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var p_b float64 = 0.5
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@ -97,11 +103,33 @@ func main() {
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fs := [4](func64){sample_0, sample_1, sample_few, sample_many}
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var n_samples int = 1_000_000
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var xs = make([]float64, n_samples)
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var xs0 = xs[0:250_000]
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var xs1 = xs[250_000:500_000]
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var xs2 = xs[500_000:750_000]
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var xs3 = xs[750_000:1_000_000]
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model := func() float64 { return sample_mixture(fs[0:], ws[0:]) }
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slice_fill(xs0, model)
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slice_fill(xs1, model)
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slice_fill(xs2, model)
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slice_fill(xs3, model)
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var avg float64 = 0
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for i := 0; i < n_samples; i++ {
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avg += sample_mixture(fs[0:], ws[0:])
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for _, x := range xs {
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avg += x
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}
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avg = avg / float64(n_samples)
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fmt.Printf("Average: %v\n", avg)
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/*
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var avg float64 = 0
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for i := 0; i < n_samples; i++ {
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avg += sample_mixture(fs[0:], ws[0:])
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}
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avg = avg / float64(n_samples)
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fmt.Printf("Average: %v\n", avg)
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*/
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}
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