go: remove prints
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5029f67429
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@ -51,7 +51,7 @@ type func64 func() float64
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func sample_mixture(fs []func64, weights []float64) float64 {
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fmt.Println("weights initially: ", weights)
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// fmt.Println("weights initially: ", weights)
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var sum_weights float64 = 0
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for _, weight := range weights {
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sum_weights += weight
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@ -75,17 +75,20 @@ func sample_mixture(fs []func64, weights []float64) float64 {
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break
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}
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}
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fmt.Println(cumsummed_normalized_weights)
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// fmt.Println(cumsummed_normalized_weights)
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if flag == 0 {
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result = fs[len(fs)-1]()
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}
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return result
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// return weights[0]
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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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var p_c float64 = p_a * p_b
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ws := [4](float64){1 - p_c, p_c / 2, p_c / 4, p_c / 4}
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sample_0 := func() float64 { return 0 }
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sample_1 := func() float64 { return 1 }
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@ -93,18 +96,10 @@ func main() {
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sample_many := func() float64 { return sample_to(2, 10) }
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fs := [4](func64){sample_0, sample_1, sample_few, sample_many}
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var p_a float64 = 0.8
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var p_b float64 = 0.5
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var p_c float64 = p_a * p_b
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ws := [4](float64){1 - p_c, p_c / 2, p_c / 4, p_c / 4}
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fmt.Println("weights #1", ws)
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var n_samples int = 1_000_000
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var avg float64 = 0
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for i := 0; i < n_samples; i++ {
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x := sample_mixture(fs[0:], ws[0:])
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fmt.Printf("%v\n", x)
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avg += x
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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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