NunoSempere/peopleprobs
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continue preparing for concurrency

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NunoSempere 2024-02-25 19:07:20 -03:00
parent 1c8542bdc4
commit e74c1127a5
1 changed files with 7 additions and 11 deletions
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18
probppl.go
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@ -135,29 +135,25 @@ func main() {
var r = rand.New(rand.NewPCG(uint64(1), uint64(2))) var r = rand.New(rand.NewPCG(uint64(1), uint64(2)))
n_dists := 10_000 n_dists := 10
var dists = make([]IntProbsWeights, n_dists) var dists = make([]IntProbsWeights, n_dists)
sum_weights := int64(0) for i := 0; i < n_dists; i++ {
for i := 0; i < 10_000; i++ {
people_known_distribution := generatePeopleKnownDistribution(r) people_known_distribution := generatePeopleKnownDistribution(r)
// fmt.Println(people_known_distribution)
result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r) result := getUnnormalizedBayesianUpdateForDistribution(people_known_distribution, r)
if i%10 == 0 { if i%10 == 0 {
fmt.Printf("%d/10000\n", i) fmt.Printf("%d/%d\n", i, n_dists)
} }
if result > 0 { if result > 0 {
// fmt.Println(people_known_distribution)
// fmt.Println(result)
dists[i] = IntProbsWeights{IntProbs: people_known_distribution, w: result} dists[i] = IntProbsWeights{IntProbs: people_known_distribution, w: result}
} }
sum_weights += result
// fmt.Println(result)
} }
// fmt.Println(dists)
// Now calculate the posterior // Now calculate the posterior
sum_weights := int64(0)
for _, dist := range dists {
sum_weights += dist.w
}
for i := int64(16); i <= 2048; i *= 2 { for i := int64(16); i <= 2048; i *= 2 {
p := 0.0 p := 0.0