go: abstract sample_parallel into own function
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@ -90,6 +90,26 @@ func slice_fill(xs []float64, fs func64, r source) {
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}
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}
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func sample_parallel(f func64, n_samples int) []float64 {
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var xs = make([]float64, n_samples)
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var wg sync.WaitGroup
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var h = n_samples / 16
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wg.Add(16)
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for i := range 16 {
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var xs_i = xs[i*h : (i+1)*h]
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go func() {
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defer wg.Done()
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var r = rand.New(rand.NewPCG(uint64(i), uint64(i+1)))
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slice_fill(xs_i, f, r)
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}()
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}
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wg.Wait()
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return xs
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}
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func main() {
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var p_a float64 = 0.8
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@ -102,24 +122,11 @@ func main() {
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sample_few := func(r source) float64 { return sample_to(1, 3, r) }
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sample_many := func(r source) float64 { return sample_to(2, 10, r) }
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fs := [4](func64){sample_0, sample_1, sample_few, sample_many}
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model := func(r source) float64 { return sample_mixture(fs[0:], ws[0:], r) }
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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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xs := sample_parallel(model, n_samples)
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var wg sync.WaitGroup
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var h = n_samples / 16
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wg.Add(16)
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for i := range 16 {
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var xs_i = xs[i*h : (i+1)*h]
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go func() {
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defer wg.Done()
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var r = rand.New(rand.NewPCG(uint64(i), uint64(i+1)))
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slice_fill(xs_i, model, r)
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}()
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}
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wg.Wait()
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var avg float64 = 0
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for _, x := range xs {
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avg += x
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