continue filling up DSL code
This commit is contained in:
parent
0e9ef33b8e
commit
6cf0b3f9d5
73
f.go
73
f.go
|
@ -7,12 +7,14 @@ import (
|
|||
"git.nunosempere.com/NunoSempere/fermi/sample"
|
||||
"math"
|
||||
"os"
|
||||
"sort"
|
||||
"strconv"
|
||||
"strings"
|
||||
)
|
||||
|
||||
const NORMAL90CONFIDENCE = 1.6448536269514727
|
||||
const GENERAL_ERR_MSG = "Valid inputs: 2 || * 2 || / 2 || 2 20 || * 2 20 || / 2 20 || clean || =: var || op var || clean || help || debug || exit"
|
||||
const N_SAMPLES = 10 // 1_000_000
|
||||
|
||||
// Distribution interface
|
||||
// https://go.dev/tour/methods/9
|
||||
|
@ -21,21 +23,18 @@ type Dist interface {
|
|||
Samples() []float64
|
||||
}
|
||||
|
||||
// Point implementing distribution
|
||||
|
||||
type Scalar struct {
|
||||
p float64
|
||||
}
|
||||
|
||||
func (p Scalar) Samples() []float64 {
|
||||
xs := make([]float64, 1_000_000)
|
||||
for i := 0; i < 1_000_000; i++ {
|
||||
xs := make([]float64, N_SAMPLES)
|
||||
for i := 0; i < N_SAMPLES; i++ {
|
||||
xs[i] = p.p
|
||||
}
|
||||
return xs
|
||||
}
|
||||
|
||||
// Lognormal implementing Distribution
|
||||
type Lognormal struct {
|
||||
low float64
|
||||
high float64
|
||||
|
@ -43,13 +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, 1_000_000)
|
||||
}
|
||||
func (ln Lognormal) Type() string {
|
||||
return "Lognormal"
|
||||
return sample.Sample_parallel(sampler, N_SAMPLES)
|
||||
}
|
||||
|
||||
// Beta implementing Distribution
|
||||
type Beta struct {
|
||||
a float64
|
||||
b float64
|
||||
|
@ -57,13 +52,9 @@ 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, 1_000_000)
|
||||
}
|
||||
func (beta Beta) Type() string {
|
||||
return "Beta"
|
||||
return sample.Sample_parallel(sampler, N_SAMPLES)
|
||||
}
|
||||
|
||||
// FilledSamples implementing Distribution
|
||||
type FilledSamples struct {
|
||||
xs []float64
|
||||
}
|
||||
|
@ -71,9 +62,6 @@ type FilledSamples struct {
|
|||
func (fs FilledSamples) Samples() []float64 {
|
||||
return fs.xs
|
||||
}
|
||||
func (beta FilledSamples) Type() string {
|
||||
return "FilledSamples"
|
||||
}
|
||||
|
||||
// Parse line into Distribution
|
||||
func parseLineErr(err_msg string) (string, Dist, error) {
|
||||
|
@ -124,8 +112,19 @@ func parseLine(line string, vars map[string]Dist) (string, Dist, error) {
|
|||
return parseLineErr("Trying to operate by a distribution, but distribution is not specified as two floats")
|
||||
}
|
||||
dist = Lognormal{low: new_low, high: new_high}
|
||||
case 3:
|
||||
if words[0] == "beta" || words[0] == "b" {
|
||||
a, err1 := strconv.ParseFloat(words[1], 64)
|
||||
b, err2 := strconv.ParseFloat(words[2], 64)
|
||||
if err1 != nil || err2 != nil {
|
||||
return parseLineErr("Trying to specify a beta distribution? Try beta 1 2")
|
||||
}
|
||||
dist = Beta{a: a, b: b}
|
||||
} else {
|
||||
return parseLineErr("Input not understood or not implemented yet")
|
||||
}
|
||||
default:
|
||||
return parseLineErr("Other input methods not implemented yet")
|
||||
return parseLineErr("Input not understood or not implemented yet")
|
||||
}
|
||||
return op, dist, nil
|
||||
|
||||
|
@ -156,14 +155,21 @@ 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)
|
||||
xs := dist1.Samples()
|
||||
ys := dist2.Samples()
|
||||
zs := make([]float64, 1_000_000)
|
||||
for i, x := range xs {
|
||||
zs[i] = x * ys[i]
|
||||
fmt.Printf("xs: %v\n", xs)
|
||||
fmt.Printf("ys: %v\n", ys)
|
||||
zs := make([]float64, N_SAMPLES)
|
||||
|
||||
for i := 0; i < N_SAMPLES; i++ {
|
||||
zs[i] = xs[i] * ys[i]
|
||||
}
|
||||
|
||||
return FilledSamples{xs: xs}
|
||||
fmt.Printf("%v\n", zs)
|
||||
return FilledSamples{xs: zs}
|
||||
}
|
||||
|
||||
func multiplyDists(old_dist Dist, new_dist Dist) (Dist, error) {
|
||||
|
@ -219,7 +225,7 @@ func joinDists(old_dist Dist, new_dist Dist, op string) (Dist, error) {
|
|||
}
|
||||
|
||||
/* Pretty print distributions */
|
||||
func prettyPrintLognormal(low float64, high float64) {
|
||||
func prettyPrint90CI(low float64, high float64) {
|
||||
// fmt.Printf("=> %.1f %.1f\n", low, high)
|
||||
fmt.Printf("=> ")
|
||||
switch {
|
||||
|
@ -258,7 +264,18 @@ func prettyPrintLognormal(low float64, high float64) {
|
|||
func prettyPrintDist(dist Dist) {
|
||||
switch v := dist.(type) {
|
||||
case Lognormal:
|
||||
prettyPrintLognormal(v.low, v.high)
|
||||
prettyPrint90CI(v.low, v.high)
|
||||
case FilledSamples:
|
||||
tmp_xs := make([]float64, N_SAMPLES)
|
||||
copy(tmp_xs, v.xs)
|
||||
sort.Slice(tmp_xs, func(i, j int) bool {
|
||||
return tmp_xs[i] < tmp_xs[j]
|
||||
})
|
||||
low_int := N_SAMPLES / 20
|
||||
low := tmp_xs[low_int]
|
||||
high_int := N_SAMPLES * 19 / 20
|
||||
high := tmp_xs[high_int]
|
||||
prettyPrint90CI(low, high)
|
||||
default:
|
||||
fmt.Printf("%v", v)
|
||||
}
|
||||
|
@ -267,13 +284,9 @@ func prettyPrintDist(dist Dist) {
|
|||
/* Main event loop */
|
||||
func main() {
|
||||
|
||||
sample_0 := func(r sample.Src) float64 { return 0 }
|
||||
x := sample.Sample_parallel(sample_0, 10)
|
||||
fmt.Printf("%v\n", x)
|
||||
|
||||
reader := bufio.NewReader(os.Stdin)
|
||||
var init_dist Dist
|
||||
init_dist = Lognormal{low: 1, high: 1}
|
||||
init_dist = Scalar{p: 1} // Lognormal{low: 1, high: 1}
|
||||
old_dist := init_dist
|
||||
vars := make(map[string]Dist)
|
||||
// Could eventually be a more complex struct with:
|
||||
|
|
Loading…
Reference in New Issue
Block a user