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zV1bFB0YX;gTda7ulRFG6kFVh4jRg@L5aBiwJ|xecfTeMO5k+K~Pw#F!(aex?Cj$E^ Mw8r3y7a!680Z 0.0") + } + + var flag int = 0 + var p float64 = global_state.Float64() + + xs := make([]float64, n_samples) + // var global_state = rand.New(rand.NewPCG(uint64(1), uint64(2))) + for i := 0; i < n_samples; i++ { + for j, cnw := range cumsummed_normalized_weights { + if p < cnw { + xs[i] = fs[j][i] + flag = 1 + break + } + } + if flag == 0 { + xs[i] = fs[len(fs)-1][i] + } + } + return xs, nil +} + func Sample_parallel(f func64, n_samples int) []float64 { var num_threads = 16 var xs = make([]float64, n_samples) @@ -178,13 +230,13 @@ func main() { var p_c float64 = p_a * p_b ws := [4](float64){1 - p_c, p_c / 2, p_c / 4, p_c / 4} - Sample_0 := func(r Src) float64 { return 0 } - Sample_1 := func(r Src) float64 { return 1 } - Sample_few := func(r Src) float64 { return Sample_to(1, 3, r) } - Sample_many := func(r Src) float64 { return Sample_to(2, 10, r) } + Sample_0 := func(r State) float64 { return 0 } + Sample_1 := func(r State) float64 { return 1 } + Sample_few := func(r State) float64 { return Sample_to(1, 3, r) } + Sample_many := func(r State) float64 { return Sample_to(2, 10, r) } fs := [4](func64){Sample_0, Sample_1, Sample_few, Sample_many} - model := func(r Src) float64 { return Sample_mixture(fs[0:], ws[0:], r) } + model := func(r State) float64 { return Sample_mixture(fs[0:], ws[0:], r) } n_samples := 1_000_000 xs := Sample_parallel(model, n_samples) var avg float64 = 0