fermi

commit b0f48286d5e230a6b6ed9041f89ce9aa7c33a5ae
parent 6cf0b3f9d5f1a9869347de3912ac52c2516d565d
Author: NunoSempere <nuno.semperelh@protonmail.com>
Date:   Mon, 10 Jun 2024 01:12:02 +0200

add code to multiply beta distributions

Diffstat:
M
f.go
 | 
36
++++++++++++++++++++++++++++--------
M
sample/sample.go
 | 
9
+++++++++

2 files changed, 37 insertions(+), 8 deletions(-)
diff --git a/f.go b/f.go
@@ -42,7 +42,9 @@ type Lognormal struct {
 
 func (ln Lognormal) Samples() []float64 {
 	sampler := func(r sample.Src) float64 { return sample.Sample_to(ln.low, ln.high, r) }
-	return sample.Sample_parallel(sampler, N_SAMPLES)
+	// return sample.Sample_parallel(sampler, N_SAMPLES)
+	// Can't do parallel because then I'd have to await throughout the code
+	return sample.Sample_serially(sampler, N_SAMPLES)
 }
 
 type Beta struct {
@@ -52,7 +54,8 @@ type Beta struct {
 
 func (beta Beta) Samples() []float64 {
 	sampler := func(r sample.Src) float64 { return sample.Sample_beta(beta.a, beta.b, r) }
-	return sample.Sample_parallel(sampler, N_SAMPLES)
+	// return sample.Sample_parallel(sampler, N_SAMPLES)
+	return sample.Sample_serially(sampler, N_SAMPLES)
 }
 
 type FilledSamples struct {
@@ -156,12 +159,12 @@ func multiplyBetaDists(beta1 Beta, beta2 Beta) Beta {
 
 func multiplyAsSamples(dist1 Dist, dist2 Dist) Dist {
 	// dist2 = Beta{a: 1, b: 2}
-	fmt.Printf("dist1: %v\n", dist1)
-	fmt.Printf("dist2: %v\n", dist2)
+	// fmt.Printf("dist1: %v\n", dist1)
+	// fmt.Printf("dist2: %v\n", dist2)
 	xs := dist1.Samples()
 	ys := dist2.Samples()
-	fmt.Printf("xs: %v\n", xs)
-	fmt.Printf("ys: %v\n", ys)
+	// fmt.Printf("xs: %v\n", xs)
+	// fmt.Printf("ys: %v\n", ys)
 	zs := make([]float64, N_SAMPLES)
 
 	for i := 0; i < N_SAMPLES; i++ {
@@ -188,6 +191,9 @@ func multiplyDists(old_dist Dist, new_dist Dist) (Dist, error) {
 		}
 	case Scalar:
 		{
+			if o.p == 1 {
+				return new_dist, nil
+			}
 			switch n := new_dist.(type) {
 			case Lognormal:
 				return multiplyLogDists(Lognormal{low: o.p, high: o.p}, n), nil
@@ -197,8 +203,16 @@ func multiplyDists(old_dist Dist, new_dist Dist) (Dist, error) {
 				return multiplyAsSamples(o, n), nil
 			}
 		}
+	case Beta:
+		switch n := new_dist.(type) {
+		case Beta:
+			return multiplyBetaDists(o, n), nil
+		default:
+			return multiplyAsSamples(o, n), nil
+		}
 	default:
-		return nil, errors.New("Can't multiply dists")
+		return multiplyAsSamples(old_dist, new_dist), nil
+		// return nil, errors.New("Can't multiply dists")
 	}
 }
 
@@ -227,7 +241,6 @@ func joinDists(old_dist Dist, new_dist Dist, op string) (Dist, error) {
 /* Pretty print distributions */
 func prettyPrint90CI(low float64, high float64) {
 	// fmt.Printf("=> %.1f %.1f\n", low, high)
-	fmt.Printf("=> ")
 	switch {
 	case math.Abs(low) >= 1_000_000_000_000:
 		fmt.Printf("%.1fT", low/1_000_000_000_000)
@@ -264,6 +277,7 @@ func prettyPrint90CI(low float64, high float64) {
 func prettyPrintDist(dist Dist) {
 	switch v := dist.(type) {
 	case Lognormal:
+		fmt.Printf("=> ")
 		prettyPrint90CI(v.low, v.high)
 	case FilledSamples:
 		tmp_xs := make([]float64, N_SAMPLES)
@@ -276,6 +290,9 @@ func prettyPrintDist(dist Dist) {
 		high_int := N_SAMPLES * 19 / 20
 		high := tmp_xs[high_int]
 		prettyPrint90CI(low, high)
+	case Beta:
+		fmt.Printf("=> beta ")
+		prettyPrint90CI(v.a, v.b)
 	default:
 		fmt.Printf("%v", v)
 	}
@@ -342,6 +359,9 @@ EventForLoop:
 
 		joint_dist, err := joinDists(old_dist, new_dist, op)
 		if err != nil {
+			fmt.Printf("%v\n", err)
+			fmt.Printf("Dist on stack: ")
+			prettyPrintDist(old_dist)
 			continue EventForLoop
 		}
 		old_dist = joint_dist
diff --git a/sample/sample.go b/sample/sample.go
@@ -137,6 +137,15 @@ func Sample_mixture(fs []func64, weights []float64, r Src) float64 {
 
 }
 
+func Sample_serially(f func64, n_samples int) []float64 {
+	var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
+	xs := make([]float64, n_samples)
+	for i := 0; i < n_samples; i++ {
+		xs[i] = f(r)
+	}
+	return xs
+}
+
 func Sample_parallel(f func64, n_samples int) []float64 {
 	var num_threads = 16
 	var xs = make([]float64, n_samples)