471 lines
14 KiB
Go
471 lines
14 KiB
Go
package main
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import (
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"bufio"
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"flag"
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"fmt"
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"git.nunosempere.com/NunoSempere/fermi/sample"
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"math"
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"os"
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"strings"
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)
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/* Types and interfaces */
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type Stack struct {
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old_dist Dist
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vars map[string]Dist
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}
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type Dist interface {
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Sampler(int, sample.State) float64
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}
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type Scalar float64
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type Lognormal struct {
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low float64
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high float64
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}
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type Beta struct {
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a float64
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b float64
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}
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type FilledSamples struct {
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xs []float64
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}
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/* Dist interface functions */
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// https://go.dev/tour/methods/9
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func (p Scalar) Sampler(i int, r sample.State) float64 {
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return float64(p)
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}
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func (ln Lognormal) Sampler(i int, r sample.State) float64 {
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return sample.To(ln.low, ln.high, r)
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}
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func (beta Beta) Sampler(i int, r sample.State) float64 {
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return sample.Beta(beta.a, beta.b, r)
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}
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func (fs FilledSamples) Sampler(i int, r sample.State) float64 {
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// This is a bit subtle, because sampling from FilledSamples randomly iteratively converges
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// to something different than the initial distribution
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// So instead we have an i parameter.
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return fs.xs[i]
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}
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/* Constants */
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const HELP_MSG = "1. Grammar:\n" +
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" Operation | Variable assignment | Special\n" +
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" Operation: operator operand\n" +
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" operator: (empty) | * | / | + | -\n" +
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" operand: scalar | lognormal | beta | variable\n" +
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" lognormal: low high\n" +
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" beta: beta alpha beta\n" +
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" Variable assignment: =: variable_name\n" +
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" Variable assignment and clear stack: =. variable_name\n" +
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" Special commands: \n" +
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" Comment: # this is a comment\n" +
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" Summary stats: stats\n" +
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" Clear stack: clear | c | .\n" +
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" Print debug info: debug | d\n" +
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" Print help message: help | h\n" +
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" Start additional stack: operator (\n" +
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" Return from additional stack )\n" +
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" Exit: exit | e\n" +
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" Examples: \n" +
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" + 2\n" +
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" / 2.5\n" +
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" * 1 10 (interpreted as lognormal)\n" +
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" + 1 10\n" +
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" * beta 1 10\n" +
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" 1 10 (multiplication taken as default operation)\n" +
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" =: x\n" +
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" .\n" +
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" 1 100\n" +
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" + x\n" +
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" # this is a comment\n" +
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" * 1 12 # this is an operation followed by a comment\n" +
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" * (\n" +
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" 1 10\n" +
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" + beta 1 100\n" +
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" )\n" +
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" =. y\n" +
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" mx x 1 y 2.33\n" +
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" + mx x 30% y 70%\n" +
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" exit\n" +
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"\n" +
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"2. Command flags:\n" +
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" -echo\n" +
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" Specifies whether inputs should be echoed back. Useful if reading from a file\n." +
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" -f string\n" +
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" Specifies a file with a model to run\n" +
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" -n int\n" +
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" Specifies the number of samples to draw when using samples (default 100000)\n" +
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" -h Shows help message\n"
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const NORMAL90CONFIDENCE = 1.6448536269514727
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const INIT_DIST Scalar = Scalar(1)
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var N_SAMPLES = 100_000
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/* Operations */
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// Generic operations with samples
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func operateDistsAsSamples(dist1 Dist, dist2 Dist, op string) (Dist, error) {
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xs := sample.Serially(dist1.Sampler, N_SAMPLES)
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ys := sample.Serially(dist2.Sampler, N_SAMPLES)
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zs := make([]float64, N_SAMPLES)
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for i := 0; i < N_SAMPLES; i++ {
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switch op {
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case "*":
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zs[i] = xs[i] * ys[i]
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case "/":
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if ys[0] != 0 {
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zs[i] = xs[i] / ys[i]
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} else {
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// fmt.Println("Error: When dividing as samples, division by zero")
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return nil, FermiError{Code: "Division by zero", Msg: "When operating on samples, division by zero"}
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}
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case "+":
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zs[i] = xs[i] + ys[i]
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case "-":
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zs[i] = xs[i] - ys[i]
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default:
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// fmt.Println("Error: Operation not recognized")
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return nil, FermiError{Code: "Unknown operation", Msg: "When operating on samples, operation not recognized"}
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}
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}
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return FilledSamples{xs: zs}, nil
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}
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// Multiplication
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func multiplyLogDists(l1 Lognormal, l2 Lognormal) Lognormal {
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logmean1 := (math.Log(l1.high) + math.Log(l1.low)) / 2.0
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logstd1 := (math.Log(l1.high) - math.Log(l1.low)) / (2.0 * NORMAL90CONFIDENCE)
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logmean2 := (math.Log(l2.high) + math.Log(l2.low)) / 2.0
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logstd2 := (math.Log(l2.high) - math.Log(l2.low)) / (2.0 * NORMAL90CONFIDENCE)
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logmean_product := logmean1 + logmean2
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logstd_product := math.Sqrt(logstd1*logstd1 + logstd2*logstd2)
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h := logstd_product * NORMAL90CONFIDENCE
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loglow := logmean_product - h
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loghigh := logmean_product + h
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return Lognormal{low: math.Exp(loglow), high: math.Exp(loghigh)}
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}
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func multiplyLogDistAndScalar(l Lognormal, s Scalar) (Dist, error) {
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if s == 0.0 {
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return Scalar(0.0), nil
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} else if s < 0.0 {
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return operateDistsAsSamples(s, l, "*")
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} else {
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return multiplyLogDists(l, Lognormal{low: float64(s), high: float64(s)}), nil
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}
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}
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func multiplyDists(old_dist Dist, new_dist Dist) (Dist, error) {
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switch o := old_dist.(type) {
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case Lognormal:
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{
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switch n := new_dist.(type) {
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case Lognormal:
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return multiplyLogDists(o, n), nil
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case Scalar:
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return multiplyLogDistAndScalar(o, n)
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}
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}
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case Scalar:
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{
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switch o {
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case 1.0:
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return new_dist, nil
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case 0.0:
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return Scalar(0.0), nil
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}
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switch n := new_dist.(type) {
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case Lognormal:
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return multiplyLogDistAndScalar(n, o)
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case Scalar:
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return Scalar(float64(o) * float64(n)), nil
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}
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}
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}
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return operateDistsAsSamples(old_dist, new_dist, "*")
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}
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func divideDists(old_dist Dist, new_dist Dist) (Dist, error) {
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switch o := old_dist.(type) {
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// I miss you, OCaml switches
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case Lognormal:
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{
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switch n := new_dist.(type) {
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case Lognormal:
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if n.high == 0 || n.low == 0 {
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return nil, FermiError{Code: "Division by zero", Msg: "When operating two lognormals, one of the parameters is zero, which would result in division by zero"}
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}
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return multiplyLogDists(o, Lognormal{low: 1.0 / n.high, high: 1.0 / n.low}), nil
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case Scalar:
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if n == 0.0 {
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return nil, FermiError{Code: "Division by zero", Msg: "When operating a lognormal with a scalar, trying to divide but the scalar is zero"}
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}
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return multiplyLogDistAndScalar(o, Scalar(1.0/n))
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}
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}
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case Scalar:
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{
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switch n := new_dist.(type) {
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case Lognormal:
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return multiplyLogDistAndScalar(Lognormal{low: 1.0 / n.high, high: 1.0 / n.low}, o)
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case Scalar:
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if n == 0.0 {
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return nil, FermiError{Code: "Division by zero", Msg: "When operating two scalars, trying to divide but the divisor is is zero"}
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}
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return Scalar(float64(o) / float64(n)), nil
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}
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}
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}
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return operateDistsAsSamples(old_dist, new_dist, "/")
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}
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// Generic distribution operations
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func operateDists(old_dist Dist, new_dist Dist, op string) (Dist, error) {
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switch op {
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case "*":
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return multiplyDists(old_dist, new_dist)
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case "/":
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return divideDists(old_dist, new_dist)
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case "+":
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return operateDistsAsSamples(old_dist, new_dist, "+")
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case "-":
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return operateDistsAsSamples(old_dist, new_dist, "-")
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default:
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return nil, FermiError{Code: "Unknown operation", Msg: "When operating distributions, operation not recognized"}
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}
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}
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/* Mixtures */
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func parseMixture(words []string, vars map[string]Dist) (Dist, error) {
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// mx, mix, var weight var weight var weight ...
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// Check syntax
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switch {
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case len(words) < 1:
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return nil, FermiError{Code: "Not a mixture", Msg: "Input can't be a mixture, since it doesn't have enough words"}
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case words[0] != "mx":
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return nil, FermiError{Code: "Not a mixture", Msg: "Input can't be a mixture, since it is not preceded by the mx keyword"}
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case len(words)%2 != 1:
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return nil, FermiError{Code: "Not a mixture", Msg: "When parsing a mixture, input doesn't have equal number of variables and weights. \nMixture syntax: \nmx x 20% y 70% z 10%\ni.e.: mx var weight var2 weight2 ... var_n weight_n"}
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case len(words) < 5:
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return nil, FermiError{Code: "Not a mixture", Msg: "When parsing a mixture, not enough words. \nMixture syntax: \nmx x 20% y 70% z 10%\ni.e.: mx var weight var2 weight2 ... var_n weight_n"}
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}
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words = words[1:] // crop "mx" at the beginning
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var fs []func(int, sample.State) float64
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var weights []float64
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for i, word := range words {
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if i%2 == 0 {
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dist, exists := vars[word]
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if !exists {
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return nil, FermiError{Code: "Not a mixture variable", Msg: "When parsing a mixture, expected mixture variable but didn't get a variable. \nMixture syntax: \nmx x 2.5 y 8 z 10\ni.e.: mx var weight var2 weight2 ... var_n weight_n"}
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}
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f := dist.Sampler
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fs = append(fs, f)
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} else {
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weight, err := ParseFloat(word)
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if err != nil {
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return nil, FermiError{Code: "Not a mixture weight", Msg: "When parsing a mixture, expected mixture weight but didn't get a variable. \nMixture syntax: \nmx x 2.5 y 8 z 10\ni.e.: mx var weight var2 weight2 ... var_n weight_n"}
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}
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weights = append(weights, weight)
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}
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}
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// Sample from mixture
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xs, err := sample.Mixture_serially_from_samplers(fs, weights, N_SAMPLES)
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if err != nil {
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return nil, PrintAndReturnErr(err.Error())
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}
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return FilledSamples{xs: xs}, nil
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}
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/* Parser and repl */
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func parseWordsIntoOpAndDist(words []string, vars map[string]Dist) (string, Dist, error) {
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parseWordsErr := func(msg string) (string, Dist, error) {
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return "", nil, FermiError{Code: "Malformed input", Msg: "When parsing words into operator and distribution: " + msg}
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}
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op := ""
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var dist Dist
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switch words[0] {
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case "*", "/", "+", "-":
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op = words[0]
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words = words[1:]
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default:
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op = "*"
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}
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switch {
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case len(words) == 0:
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return parseWordsErr("Operator must have operand; can't operate on nothing")
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case len(words) == 1:
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var_word, var_word_exists := vars[words[0]]
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single_float, err1 := ParseFloat(words[0]) // abstract this away to search for K/M/B/T/etc.
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switch {
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case var_word_exists:
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dist = var_word
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case err1 == nil:
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dist = Scalar(single_float)
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case err1 != nil && !var_word_exists:
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return parseWordsErr("Trying to operate on a scalar, but scalar is neither a float nor an assigned variable")
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}
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case len(words) == 2:
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new_low, err1 := ParseFloat(words[0])
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new_high, err2 := ParseFloat(words[1])
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switch {
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case err1 != nil || err2 != nil:
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return parseWordsErr("Trying to operate by a distribution, but distribution is not specified as two floats")
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case new_low <= 0.0 || new_high <= 0.0:
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return parseWordsErr("Trying to parse two floats as a lognormal, but the two floats must be greater than 0")
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case new_low == new_high:
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return parseWordsErr("Trying to parse two floats as a lognormal, but the two floats must be different. Try a single scalar instead?")
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case new_low > new_high:
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return parseWordsErr("Trying to parse two floats as a lognormal, but the first number is larger than the second number")
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}
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dist = Lognormal{low: new_low, high: new_high}
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case len(words) == 3:
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switch {
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case words[0] == "beta" || words[0] == "b":
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a, err1 := ParseFloat(words[1])
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b, err2 := ParseFloat(words[2])
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if err1 != nil || err2 != nil {
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return parseWordsErr("Trying to specify a beta distribution? Try beta 1 2")
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}
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dist = Beta{a: a, b: b}
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default:
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return parseWordsErr("Input not understood or not implemented yet")
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}
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case len(words) >= 4: // four or more words
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if words[0] == "mx" {
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dist, err := parseMixture(words, vars)
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return op, dist, err
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}
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return parseWordsErr("Input not understood or not implemented yet")
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}
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return op, dist, nil
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}
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/* Combine old dist and new line */
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// We want this as a function (rather than just be in main)
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// to be able to have parenthesis/recusion, possibly functions
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func runRepl(stack Stack, reader *bufio.Reader, echo_flag *bool) Stack {
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replForLoop:
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for {
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new_line, _ := reader.ReadString('\n')
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if *echo_flag {
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fmt.Print(new_line)
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}
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new_line_before_comments, _, _ := strings.Cut(new_line, "#")
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new_line_trimmed := strings.TrimSpace(new_line_before_comments)
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words := strings.Split(new_line_trimmed, " ")
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switch {
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/* Empty line */
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case strings.TrimSpace(new_line_trimmed) == "":
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continue replForLoop
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/* Special operations */
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case words[0] == "exit" || words[0] == "e":
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os.Exit(0)
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case words[0] == "help" || words[0] == "h":
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fmt.Println(HELP_MSG)
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case words[0] == "debug" || words[0] == "d":
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fmt.Printf("%v", stack)
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case words[0] == "clear" || words[0] == "c" || words[0] == ".":
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stack.old_dist = INIT_DIST
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fmt.Println()
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case words[0] == "stats" || words[0] == "s":
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PrettyPrintStats(stack.old_dist)
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/* Variable assignment */
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case words[0] == "=:" && len(words) == 2:
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stack.vars[words[1]] = stack.old_dist
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fmt.Printf("%s ", words[1])
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case words[0] == "=." && len(words) == 2:
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stack.vars[words[1]] = stack.old_dist
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fmt.Printf("%s ", words[1])
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PrettyPrintDist(stack.old_dist)
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stack.old_dist = INIT_DIST
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/* Parenthesis */
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case len(words) == 2 && (words[0] == "*" || words[0] == "+" || words[0] == "-" || words[0] == "/") && words[1] == "(":
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new_stack := runRepl(Stack{old_dist: INIT_DIST, vars: stack.vars}, reader, echo_flag)
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combined_dist, err := operateDists(stack.old_dist, new_stack.old_dist, words[0])
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if err != nil {
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PrintError(err)
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} else {
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stack.old_dist = combined_dist
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}
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case len(words) == 1 && words[0] == ")":
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return stack
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/* Bread and butter distribution operations */
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default:
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op, new_dist, err := parseWordsIntoOpAndDist(words, stack.vars)
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if err != nil {
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PrintError(err)
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PrettyPrintDist(stack.old_dist)
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continue replForLoop
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}
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combined_dist, err := operateDists(stack.old_dist, new_dist, op)
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if err != nil {
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PrintError(err)
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PrettyPrintDist(stack.old_dist)
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continue replForLoop
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}
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stack.old_dist = combined_dist
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}
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PrettyPrintDist(stack.old_dist)
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}
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}
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func main() {
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num_samples_flag := flag.Int("n", N_SAMPLES, "Specifies the number of samples to draw when using samples")
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filename := flag.String("f", "", "Specifies a file with a model to run. Sets the echo flag to true")
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echo_flag := flag.Bool("echo", false, "Specifies whether inputs should be echoed back. Useful if reading from a file.")
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help_flag := flag.Bool("h", false, "Shows help message")
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flag.Parse()
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N_SAMPLES = *num_samples_flag
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if *help_flag {
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fmt.Println(HELP_MSG)
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}
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var reader *bufio.Reader = nil
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if *filename != "" {
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file, err := os.Open(*filename)
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if err == nil {
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*echo_flag = true
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reader = bufio.NewReader(file)
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} else {
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fmt.Printf("Error opening filename; reading from stdin instead\n")
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}
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}
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if reader == nil {
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reader = bufio.NewReader(os.Stdin)
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}
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stack := Stack{old_dist: INIT_DIST, vars: make(map[string]Dist)}
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runRepl(stack, reader, echo_flag)
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}
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