fermi/f2.go

138 lines
3.8 KiB
Go

package main
import (
"bufio"
"errors"
"fmt"
"math"
"os"
"strconv"
"strings"
)
const NORMAL90CONFIDENCE = 1.6448536269514727
// Actually, I should look up how do do a) enums in go, b) union types
type Lognormal struct {
low float64
high float64
}
type Dist struct {
Type string
Lognormal Lognormal
Samples []float64
}
// Parse line into Distribution
func parseLineErr(err_msg string) (string, Dist, error) {
return "", Dist{}, errors.New(err_msg)
}
func parseLine(line string) (string, Dist, error) {
words := strings.Split(strings.TrimSpace(line), " ")
op := ""
var dist Dist
switch words[0] {
case "*":
op = "*"
words = words[1:]
case "/":
op = "/"
words = words[1:]
case "+":
return parseLineErr("+ operation not implemented yet")
case "-":
return parseLineErr("- operation not implemented yet")
default:
op = "*" // later, change the below to
}
switch len(words) {
case 0:
return parseLineErr("Can't operate on nothing")
case 1:
single_float, err1 := strconv.ParseFloat(words[0], 64)
if err1 != nil {
fmt.Println("Trying to operate on a scalar, but scalar is not a float")
}
dist = Dist{Type: "Lognormal", Lognormal: Lognormal{low: single_float, high: single_float}, Samples: nil}
case 2:
new_low, err1 := strconv.ParseFloat(words[0], 64)
new_high, err2 := strconv.ParseFloat(words[1], 64)
if err1 != nil || err2 != nil {
return parseLineErr("Trying to operate by a distribution, but distribution is not specified as two floats")
}
dist = Dist{Type: "Lognormal", Lognormal: Lognormal{low: new_low, high: new_high}, Samples: nil}
default:
return parseLineErr("Other input methods not implemented yet")
}
return op, dist, nil
}
// Join distributions
// Multiply lognormals
func logBoundsToLogParams(low float64, high float64) (float64, float64) {
loglow := math.Log(low)
loghigh := math.Log(high)
logmean := (loghigh + loglow) / 2.0
logstd := (loghigh - loglow) / (2.0 * NORMAL90CONFIDENCE)
return logmean, logstd
}
func logParamsToLogBounds(logmean float64, logstd float64) (float64, float64) {
h := logstd * NORMAL90CONFIDENCE
loglow := logmean - h
loghigh := logmean + h
return math.Exp(loglow), math.Exp(loghigh)
}
func multiplyLogParams(logmean1 float64, logstd1 float64, logmean2 float64, logstd2 float64) (float64, float64) {
return logmean1 + logmean2, math.Sqrt(logstd1*logstd1 + logstd2*logstd2)
}
func multiplyLogBounds(old_low, old_high, new_low, new_high float64) (float64, float64) {
logmean_old, logstd_old := logBoundsToLogParams(old_low, old_high)
logmean_new, logstd_new := logBoundsToLogParams(new_low, new_high)
logmean_product, logstd_product := multiplyLogParams(logmean_old, logstd_old, logmean_new, logstd_new)
return logParamsToLogBounds(logmean_product, logstd_product)
}
func joinDists(old_dist Dist, new_dist Dist, op string) (Dist, error) {
switch {
case old_dist.Type == "Lognormal" && new_dist.Type == "Lognormal" && op == "*":
low, high := multiplyLogBounds(old_dist.Lognormal.low, old_dist.Lognormal.high, new_dist.Lognormal.low, new_dist.Lognormal.high)
return Dist{Type: "Lognormal", Lognormal: Lognormal{low: low, high: high}, Samples: nil}, nil
default:
fmt.Printf("For now, can't do anything besides multiplying lognormals")
}
return old_dist, errors.New("Error blah blah")
}
/* Main event loop */
func main() {
reader := bufio.NewReader(os.Stdin)
old_dist := Dist{Type: "Lognormal", Lognormal: Lognormal{low: 1, high: 1}, Samples: nil} // Could also just be a scalar
fmt.Printf("Hello world")
EventForLoop:
for {
input, _ := reader.ReadString('\n')
if strings.TrimSpace(input) == "" {
continue EventForLoop
}
op, new_dist, err := parseLine(input)
if err != nil {
}
joint_dist, err := joinDists(old_dist, new_dist, op)
if err != nil {
}
old_dist = joint_dist
}
}