get mvp running!

master
NunoSempere 3 months ago
parent 332d5949c8
commit 78d0c7da87

@ -1,19 +1,15 @@
package main
import "fmt"
import rand "math/rand/v2"
/*
import "git.nunosempere.com/NunoSempere/probppl/choose"
import "math"
import "sync"
import rand "math/rand/v2"
*/
type src = *rand.Rand
type pplKnownDistrib = map[int64]float64
func generateRandomMapping(r src) map[int]float64 {
mapping := make(map[int]float64)
func generatePeopleKnownDistribution(r src) map[int64]float64 {
mapping := make(map[int64]float64)
sum := 0.0
// Consider zero case separately
@ -27,7 +23,7 @@ func generateRandomMapping(r src) map[int]float64 {
for i := 1; i < 22; i++ {
l = l * m
p := r.Float64()
mapping[int(l)] = p
mapping[int64(l)] = p
sum += p
}
@ -35,27 +31,99 @@ func generateRandomMapping(r src) map[int]float64 {
mapping[key] = value / sum
}
/*
for i := 0; i <= 1000; i++ {
if current_probability < 1.0 {
num_possible_steps := int((1-current_probability)/0.001) + 1
fmt.Println("num possible steps: %d", num_possible_steps)
step := float64(r.IntN(num_possible_steps)) * 0.001
current_probability += step
}
mapping[i] = current_probability
}
*/
return mapping
}
func chooseWrapper(n int64, k int64) int64 {
if n < k {
return 0
} else {
return choose.Choose(n, k)
}
}
func getProbabilityOfKBirthdayMatchesGivenNPeopleKnown(n int64, k int64) float64 {
return float64(chooseWrapper(n, k)) * math.Pow(1.0/365.0, float64(k)) * math.Pow(1.0-(1.0/365.0), float64(n-k))
}
func getMatchesDrawGivenNPeopleKnown(n int64, r src) int64 {
p0 := getProbabilityOfKBirthdayMatchesGivenNPeopleKnown(n, 0)
p1 := getProbabilityOfKBirthdayMatchesGivenNPeopleKnown(n, 1)
p2 := getProbabilityOfKBirthdayMatchesGivenNPeopleKnown(n, 2)
p := r.Float64()
if p < p0 {
return 0
} else if p < (p0 + p1) {
return 1
} else if p < (p0 + p1 + p2) {
return 2
} else {
return 3 // stands for 'greater than 3'
}
}
/*
Draw 148 times
How many people do you know that were born in the same day of the year as you?
0: 46.6% | 69
1: 31.1% | 46
2: 12.8% | 19
3: 9.5% | 14
*/
func drawFromDistributionWithReplacement(d pplKnownDistrib, r src) int64 {
pp := r.Float64()
sum := 0.0
for i, p := range d {
sum += p
if p <= sum {
return int64(i)
}
}
fmt.Printf("%f, %f\n", sum, pp)
fmt.Println(d)
panic("Probabilities should sum up to 1")
}
func draw148PplFromDistributionAndCheck(d pplKnownDistrib, r src) int64 {
count := make(map[int64]int64)
count[0] = 0
count[1] = 0
count[2] = 0
count[3] = 0
for i := 0; i < 148; i++ {
person_i_ppl_known := drawFromDistributionWithReplacement(d, r)
person_i_num_birthday_matches := getMatchesDrawGivenNPeopleKnown(person_i_ppl_known, r)
count[person_i_num_birthday_matches]++
}
if (count[0] == 69) && (count[1] == 46) && (count[2] == 19) && (count[3] == 14) {
return 1
} else {
return 0
}
}
func getUnnormalizedBayesianUpdateForDistribution(d pplKnownDistrib, r src) float64 {
var sum int64 = 0
n := 1_000
for i := 0; i < n; i++ {
sum += draw148PplFromDistributionAndCheck(d, r)
}
return float64(sum) / float64(n)
}
func main() {
fmt.Println("Hello world")
var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
randomMapping := generateRandomMapping(r)
for i, value := range randomMapping {
fmt.Printf("%d: %.4f\n", i, value)
}
people_known_distribution := generatePeopleKnownDistribution(r)
/* for i, p := range people_known_distribution {
fmt.Print64f("%d: %.4f\n", i, p)
} */
result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r)
fmt.Println(result)
}

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