save before refactor

probppl.go

@@ -8,6 +8,11 @@ import (
 )
 
 type src = *rand.Rand
+type IntProbability {
+	N int64
+  p float64
+}
+
 type pplKnownDistrib = map[int64]float64
 
 func generatePeopleKnownDistribution(r src) map[int64]float64 {
@@ -120,7 +125,7 @@ func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src, show bool) int
 
 func getUnnormalizedBayesianUpdateForDistribution(d pplKnownDistrib, r src) int64 {
 	var sum int64 = 0
-	n := 100
+	n := 1000
 	for i := 0; i < n; i++ {
 		/* if i%1000 == 0 {
 			fmt.Println(i)
@@ -137,6 +142,7 @@ func main() {
 	var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
 
 	sum := int64(0)
+	distribs := [](int64, pplKnownDistrib){}
 	for i := 0; i < 1000; i++ {
 
 		people_known_distribution := generatePeopleKnownDistribution(r)
@@ -146,6 +152,7 @@ func main() {
 		if result > 0 {
 			fmt.Println(people_known_distribution)
 			fmt.Println(result)
+			distribs.append()
 		}
 		sum += result
 		// fmt.Println(result)