commit
974a2143e6
|
@ -55,7 +55,10 @@
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|||
"react-dom": "16.12.0",
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"reason-react": ">=0.7.0",
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"reschema": "1.3.0",
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"tailwindcss": "1.2.0"
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"tailwindcss": "1.2.0",
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"binary-search-tree": "0.2.6",
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"jstat": "1.9.2",
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"mathjs": "6.6.0"
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},
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"alias": {
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"react": "./node_modules/react",
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|
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@ -1,6 +1,7 @@
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type route =
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| Model(string)
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| DistBuilder
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| DistBuilder2
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| Home
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| NotFound;
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@ -8,6 +9,7 @@ let routeToPath = route =>
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switch (route) {
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| Model(modelId) => "/m/" ++ modelId
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| DistBuilder => "/dist-builder"
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| DistBuilder2 => "/dist-builder2"
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| Home => "/"
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| _ => "/"
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};
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@ -76,6 +78,9 @@ module Menu = {
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<Item href={routeToPath(DistBuilder)} key="dist-builder">
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{"Dist Builder" |> E.ste}
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</Item>
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<Item href={routeToPath(DistBuilder2)} key="dist-builder">
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{"Dist Builder 2" |> E.ste}
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</Item>
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</div>;
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};
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};
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@ -88,6 +93,7 @@ let make = () => {
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switch (url.path) {
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| ["m", modelId] => Model(modelId)
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| ["dist-builder"] => DistBuilder
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| ["dist-builder2"] => DistBuilder2
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| [] => Home
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| _ => NotFound
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};
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@ -101,6 +107,7 @@ let make = () => {
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| None => <div> {"Page is not found" |> E.ste} </div>
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}
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| DistBuilder => <DistBuilder />
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| DistBuilder2 => <DistBuilder2 />
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| Home => <div> {"Welcome" |> E.ste} </div>
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| _ => <div> {"Page is not found" |> E.ste} </div>
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}}
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|
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88
src/components/DistBuilder2.re
Normal file
88
src/components/DistBuilder2.re
Normal file
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@ -0,0 +1,88 @@
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open BsReform;
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open Antd.Grid;
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module FormConfig = [%lenses type state = {guesstimatorString: string}];
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module Form = ReForm.Make(FormConfig);
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let schema = Form.Validation.Schema([||]);
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module FieldString = {
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[@react.component]
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let make = (~field, ~label) => {
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<Form.Field
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field
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render={({handleChange, error, value, validate}) =>
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<Antd.Form.Item label={label |> E.ste}>
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<Antd.Input
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value
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onChange={BsReform.Helpers.handleChange(handleChange)}
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onBlur={_ => validate()}
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/>
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</Antd.Form.Item>
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}
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/>;
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};
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};
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module Styles = {
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open Css;
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let dist = style([padding(em(1.))]);
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let spacer = style([marginTop(em(1.))]);
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};
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module DemoDist = {
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[@react.component]
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let make = (~guesstimatorString: string) => {
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let (ys, xs) =
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DistEditor.getPdfFromUserInput("normal(1, 1) / normal(10, 1)");
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let continuous: DistTypes.xyShape = {xs, ys};
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<Antd.Card title={"Distribution" |> E.ste}>
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<div className=Styles.spacer />
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<DistributionPlot height=200 continuous />
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</Antd.Card>;
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};
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};
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[@react.component]
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let make = () => {
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let reform =
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Form.use(
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~validationStrategy=OnDemand,
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~schema,
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~onSubmit=({state}) => {None},
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~initialState={guesstimatorString: "normal(1, 1) / normal(10, 1)"},
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(),
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);
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let demoDist =
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React.useMemo1(
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() => {
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<DemoDist
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guesstimatorString={reform.state.values.guesstimatorString}
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/>
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},
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[|reform.state.values.guesstimatorString|],
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);
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<div>
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<div className=Styles.spacer />
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demoDist
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<div className=Styles.spacer />
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<Antd.Card title={"Distribution Form" |> E.ste}>
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<Form.Provider value=reform>
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<Antd.Form>
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<Row _type=`flex>
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<Col span=12>
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<FieldString
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field=FormConfig.GuesstimatorString
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label="Guesstimator String"
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/>
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</Col>
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</Row>
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</Antd.Form>
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</Form.Provider>
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</Antd.Card>
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<div className=Styles.spacer />
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</div>;
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};
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@ -114,7 +114,7 @@ let make =
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~minX=?,
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~yMaxDiscreteDomainFactor=?,
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~yMaxContinuousDomainFactor=?,
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~onHover: float => unit,
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~onHover: float => unit=_ => (),
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~continuous=?,
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~scale=?,
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~showDistributionLines=false,
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3
src/components/editor/DistEditor.re
Normal file
3
src/components/editor/DistEditor.re
Normal file
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@ -0,0 +1,3 @@
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[@bs.module "./main.js"]
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external getPdfFromUserInput: string => (array(float), array(float)) =
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"get_pdf_from_user_input";
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189
src/components/editor/distribution.js
Normal file
189
src/components/editor/distribution.js
Normal file
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@ -0,0 +1,189 @@
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// This module defines an abstract BinnedDistribution class, which
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// should be implemented for each distribution. You need to decide
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// how to bin the distribution (use _adabin unless there's a nicer
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// way for your distr) and how to choose the distribution's support.
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const _math = require("mathjs");
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const math = _math.create(_math.all);
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const jStat = require("jstat");
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math.import({
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normal: jStat.normal,
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beta: jStat.beta,
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lognormal: jStat.lognormal,
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uniform: jStat.uniform
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});
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class BaseDistributionBinned {
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constructor(args) {
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this._set_props();
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this.max_bin_size = 0.5;
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this.min_bin_size = 0;
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this.increment = 0.001;
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this.desired_delta = 0.01;
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this.start_bin_size = 0.01;
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[this.params, this.pdf_func, this.sample] = this.get_params_and_pdf_func(
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args
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);
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[this.start_point, this.end_point] = this.get_bounds();
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[this.pdf_vals, this.divider_pts] = this.bin();
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}
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_set_props() {
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// this is hacky but class properties aren't always supported
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throw new Error("NotImplementedError");
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}
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_adabin() {
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let point = this.start_point;
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let vals = [this.pdf_func(point)];
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let divider_pts = [point];
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let support = this.end_point - this.start_point;
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let bin_size = this.start_bin_size * support;
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while (point < this.end_point) {
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let val = this.pdf_func(point + bin_size);
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if (Math.abs(val - vals[vals.length - 1]) > this.desired_delta) {
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while (
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(Math.abs(val - vals[vals.length - 1]) > this.desired_delta) &
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(bin_size - this.increment * support > this.min_bin_size)
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) {
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bin_size -= this.increment;
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val = this.pdf_func(point + bin_size);
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}
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} else if (Math.abs(val - vals[vals.length - 1]) < this.desired_delta) {
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while (
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(Math.abs(val - vals[vals.length - 1]) < this.desired_delta) &
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(bin_size < this.max_bin_size)
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) {
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bin_size += this.increment;
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val = this.pdf_func(point + bin_size);
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}
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}
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point += bin_size;
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vals.push(val);
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divider_pts.push(point);
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}
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vals = vals.map((_, idx) => vals[idx] / 2 + vals[idx + 1] / 2);
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vals = vals.slice(0, -1);
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return [vals, divider_pts];
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}
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bin() {
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throw new Error("NotImplementedError");
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}
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get_bounds() {
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throw new Error("NotImplementedError");
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}
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get_params_and_pdf_func(args) {
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let args_str = args.toString() + ")";
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let substr = this.name + ".pdf(x, " + args_str;
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let compiled = math.compile(substr);
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function pdf_func(x) {
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return compiled.evaluate({ x: x });
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}
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let mc_compiled = math.compile(this.name + ".sample(" + args_str);
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let kv_pairs = this.param_names.map((val, idx) => [val, args[idx]]);
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let params = Object.fromEntries(new Map(kv_pairs));
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return [params, pdf_func, mc_compiled.evaluate];
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}
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}
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class NormalDistributionBinned extends BaseDistributionBinned {
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_set_props() {
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this.name = "normal";
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this.param_names = ["mean", "std"];
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}
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get_bounds() {
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return [
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this.params.mean - 4 * this.params.std,
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this.params.mean + 4 * this.params.std
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];
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}
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bin() {
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return this._adabin(this.params.std);
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}
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}
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class UniformDistributionBinned extends BaseDistributionBinned {
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_set_props() {
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this.name = "uniform";
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this.param_names = ["start_point", "end_point"];
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this.num_bins = 200;
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}
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get_bounds() {
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return [this.params.start_point, this.params.end_point];
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}
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bin() {
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let divider_pts = evenly_spaced_grid(
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this.params.start_point,
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this.params.end_point,
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this.num_bins
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||||
);
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let vals = divider_pts.map(x =>
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this.pdf_func(this.params.start_point / 2 + this.params.end_point / 2)
|
||||
);
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vals = vals.slice(0, -1);
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||||
return [vals, divider_pts];
|
||||
}
|
||||
}
|
||||
|
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class LogNormalDistributionBinned extends BaseDistributionBinned {
|
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_set_props() {
|
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this.name = "lognormal";
|
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this.param_names = ["normal_mean", "normal_std"];
|
||||
this.n_bounds_samples = 1000;
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this.n_largest_bound_sample = 10;
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||||
}
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||||
|
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_nth_largest(samples, n) {
|
||||
var largest_buffer = Array(n).fill(-Infinity);
|
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for (const sample of samples) {
|
||||
if (sample > largest_buffer[n - 1]) {
|
||||
var i = n;
|
||||
while ((i > 0) & (sample > largest_buffer[i - 1])) {
|
||||
i -= 1;
|
||||
}
|
||||
largest_buffer[i] = sample;
|
||||
}
|
||||
}
|
||||
return largest_buffer[n - 1];
|
||||
}
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||||
|
||||
get_bounds() {
|
||||
let samples = Array(this.n_bounds_samples)
|
||||
.fill(0)
|
||||
.map(() => this.sample());
|
||||
return [
|
||||
math.min(samples),
|
||||
this._nth_largest(samples, this.n_largest_bound_sample)
|
||||
];
|
||||
}
|
||||
|
||||
bin() {
|
||||
return this._adabin();
|
||||
}
|
||||
}
|
||||
|
||||
function evenly_spaced_grid(start, stop, numel) {
|
||||
return Array(numel)
|
||||
.fill(0)
|
||||
.map((_, idx) => start + (idx / numel) * (stop - start));
|
||||
}
|
||||
|
||||
const distrs = {
|
||||
normal: NormalDistributionBinned,
|
||||
lognormal: LogNormalDistributionBinned,
|
||||
uniform: UniformDistributionBinned
|
||||
};
|
||||
|
||||
exports.distrs = distrs;
|
280
src/components/editor/main.js
Normal file
280
src/components/editor/main.js
Normal file
|
@ -0,0 +1,280 @@
|
|||
// The main algorithmic work is done by functions in this module.
|
||||
// It also contains the main function, taking the user's string
|
||||
// and returning pdf values and x's.
|
||||
|
||||
const distrs = require("./distribution.js").distrs;
|
||||
const parse = require("./parse.js");
|
||||
const _math = require("mathjs");
|
||||
const math = _math.create(_math.all);
|
||||
const bst = require("binary-search-tree");
|
||||
|
||||
const NUM_MC_SAMPLES = 300;
|
||||
const OUTPUT_GRID_NUMEL = 300;
|
||||
|
||||
function evenly_spaced_grid(start, stop, numel) {
|
||||
return Array(numel)
|
||||
.fill(0)
|
||||
.map((_, idx) => start + (idx / numel) * (stop - start));
|
||||
}
|
||||
|
||||
function get_distributions(substrings) {
|
||||
// Takes an array of strings like "normal(0, 1)" and
|
||||
// returns the corresponding distribution objects
|
||||
let names_and_args = substrings.map(parse.get_distr_name_and_args);
|
||||
let pdfs = names_and_args.map(x => new distrs[x[0]](x[1]));
|
||||
return pdfs;
|
||||
}
|
||||
|
||||
function update_transformed_divider_points_bst(
|
||||
transform_func,
|
||||
deterministic_pdf,
|
||||
mc_distrs,
|
||||
track_idx,
|
||||
num_mc_samples,
|
||||
bst_pts_and_idxs
|
||||
) {
|
||||
// update the binary search tree with bin points of
|
||||
// deterministic_pdf transformed by tansform func
|
||||
// (transfrom func can be a stocahstic func with parameters
|
||||
// sampled from mc_distrs)
|
||||
var transformed_pts = [];
|
||||
var pdf_inner_idxs = [];
|
||||
var factors = [];
|
||||
var start_pt = Infinity;
|
||||
var end_pt = -Infinity;
|
||||
let use_mc = mc_distrs.length > 0;
|
||||
var num_outer_iters = use_mc ? num_mc_samples : 1;
|
||||
|
||||
for (let sample_idx = 0; sample_idx < num_outer_iters; ++sample_idx) {
|
||||
var this_transformed_pts = deterministic_pdf.divider_pts;
|
||||
if (use_mc) {
|
||||
let samples = mc_distrs.map(x => x.sample());
|
||||
this_transformed_pts = this_transformed_pts.map(x =>
|
||||
transform_func([x].concat(samples))
|
||||
);
|
||||
} else {
|
||||
this_transformed_pts = this_transformed_pts.map(x => transform_func([x]));
|
||||
}
|
||||
var this_transformed_pts_paired = [];
|
||||
for (let tp_idx = 0; tp_idx < this_transformed_pts.length - 1; tp_idx++) {
|
||||
let sorted = [
|
||||
this_transformed_pts[tp_idx],
|
||||
this_transformed_pts[tp_idx + 1]
|
||||
].sort((a, b) => a - b);
|
||||
if (sorted[0] < start_pt) {
|
||||
start_pt = sorted[0];
|
||||
}
|
||||
if (sorted[1] > end_pt) {
|
||||
end_pt = sorted[1];
|
||||
}
|
||||
this_transformed_pts_paired.push(sorted);
|
||||
}
|
||||
|
||||
transformed_pts = transformed_pts.concat(this_transformed_pts_paired);
|
||||
|
||||
pdf_inner_idxs = pdf_inner_idxs.concat([
|
||||
...Array(this_transformed_pts_paired.length).keys()
|
||||
]);
|
||||
var this_factors = [];
|
||||
for (let idx = 0; idx < this_transformed_pts_paired.length; idx++) {
|
||||
this_factors.push(
|
||||
(deterministic_pdf.divider_pts[idx + 1] -
|
||||
deterministic_pdf.divider_pts[idx]) /
|
||||
(this_transformed_pts_paired[idx][1] -
|
||||
this_transformed_pts_paired[idx][0])
|
||||
);
|
||||
}
|
||||
factors = factors.concat(this_factors);
|
||||
}
|
||||
for (let i = 0; i < transformed_pts.length; ++i) {
|
||||
bst_pts_and_idxs.insert(transformed_pts[i][0], {
|
||||
start: transformed_pts[i][0],
|
||||
end: transformed_pts[i][1],
|
||||
idx: [track_idx, pdf_inner_idxs[i]],
|
||||
factor: factors[i] / num_outer_iters
|
||||
});
|
||||
}
|
||||
return [start_pt, end_pt];
|
||||
}
|
||||
|
||||
function get_final_pdf(pdf_vals, bst_pts_and_idxs, output_grid) {
|
||||
// Take the binary search tree with transformed bin points,
|
||||
// and an array of pdf values associated with the bins,
|
||||
// and return a pdf over an evenly spaced grid
|
||||
var offset = output_grid[1] / 2 - output_grid[0] / 2;
|
||||
var active_intervals = new Map();
|
||||
var active_endpoints = new bst.AVLTree();
|
||||
var final_pdf_vals = [];
|
||||
for (
|
||||
let out_grid_idx = 0;
|
||||
out_grid_idx < output_grid.length;
|
||||
++out_grid_idx
|
||||
) {
|
||||
let startpoints_within_bin = bst_pts_and_idxs.betweenBounds({
|
||||
$gte: output_grid[out_grid_idx] - offset,
|
||||
$lt: output_grid[out_grid_idx] + offset
|
||||
});
|
||||
for (let interval of startpoints_within_bin) {
|
||||
active_intervals.set(interval.idx, [
|
||||
interval.start,
|
||||
interval.end,
|
||||
interval.factor
|
||||
]);
|
||||
active_endpoints.insert(interval.end, interval.idx);
|
||||
}
|
||||
var contrib = 0;
|
||||
for (let [pdf_idx, bounds_and_ratio] of active_intervals.entries()) {
|
||||
let overlap_start = Math.max(
|
||||
output_grid[out_grid_idx] - offset,
|
||||
bounds_and_ratio[0]
|
||||
);
|
||||
let overlap_end = Math.min(
|
||||
output_grid[out_grid_idx] + offset,
|
||||
bounds_and_ratio[1]
|
||||
);
|
||||
let interval_size = bounds_and_ratio[1] - bounds_and_ratio[0];
|
||||
let contrib_frac =
|
||||
interval_size === 0
|
||||
? 0
|
||||
: (overlap_end - overlap_start) * bounds_and_ratio[2];
|
||||
let t = contrib_frac * pdf_vals[pdf_idx[0]][pdf_idx[1]];
|
||||
contrib += t;
|
||||
}
|
||||
final_pdf_vals.push(contrib);
|
||||
let endpoints_within_bin = active_endpoints.betweenBounds({
|
||||
$gte: output_grid[out_grid_idx] - offset,
|
||||
$lt: output_grid[out_grid_idx] + offset
|
||||
});
|
||||
for (let interval_idx of endpoints_within_bin) {
|
||||
active_intervals.delete(interval_idx);
|
||||
}
|
||||
}
|
||||
return final_pdf_vals;
|
||||
}
|
||||
|
||||
function get_pdf_from_user_input(user_input_string) {
|
||||
// Entrypoint. Pass user input strings to this function,
|
||||
// get the corresponding pdf values and input points back.
|
||||
// If the pdf requires monte carlo (it contains a between-distr function)
|
||||
// we first determing which distr to have deterministic
|
||||
// and whih to sample from. This is decided based on which
|
||||
// choice gives the least variance.
|
||||
let parsed = parse.parse_initial_string(user_input_string);
|
||||
let mm_args = parse.separate_mm_args(parsed.mm_args_string);
|
||||
const is_mm = mm_args.distrs.length > 0;
|
||||
let tree = new bst.AVLTree();
|
||||
let possible_start_pts = [];
|
||||
let possible_end_pts = [];
|
||||
let all_vals = [];
|
||||
let weights = is_mm ? math.compile(mm_args.weights).evaluate()._data : [1];
|
||||
let weights_sum = weights.reduce((a, b) => a + b);
|
||||
weights = weights.map(x => x / weights_sum);
|
||||
let n_iters = is_mm ? mm_args.distrs.length : 1;
|
||||
for (let i = 0; i < n_iters; ++i) {
|
||||
let distr_string = is_mm ? mm_args.distrs[i] : parsed.outer_string;
|
||||
var [deterministic_pdf, mc_distrs] = choose_pdf_func(distr_string);
|
||||
var grid_transform = get_grid_transform(distr_string);
|
||||
var [start_pt, end_pt] = update_transformed_divider_points_bst(
|
||||
grid_transform,
|
||||
deterministic_pdf,
|
||||
mc_distrs,
|
||||
i,
|
||||
NUM_MC_SAMPLES,
|
||||
tree
|
||||
);
|
||||
possible_start_pts.push(start_pt);
|
||||
possible_end_pts.push(end_pt);
|
||||
all_vals.push(deterministic_pdf.pdf_vals.map(x => x * weights[i]));
|
||||
}
|
||||
start_pt = Math.min(...possible_start_pts);
|
||||
end_pt = Math.max(...possible_end_pts);
|
||||
let output_grid = evenly_spaced_grid(start_pt, end_pt, OUTPUT_GRID_NUMEL);
|
||||
let final_pdf_vals = get_final_pdf(all_vals, tree, output_grid);
|
||||
return [final_pdf_vals, output_grid];
|
||||
}
|
||||
|
||||
function variance(vals) {
|
||||
var vari = 0;
|
||||
for (let i = 0; i < vals[0].length; ++i) {
|
||||
let mean = 0;
|
||||
let this_vari = 0;
|
||||
for (let val of vals) {
|
||||
mean += val[i] / vals.length;
|
||||
}
|
||||
for (let val of vals) {
|
||||
this_vari += (val[i] - mean) ** 2;
|
||||
}
|
||||
vari += this_vari;
|
||||
}
|
||||
return vari;
|
||||
}
|
||||
|
||||
function pluck_from_array(array, idx) {
|
||||
return [array[idx], array.slice(0, idx).concat(array.slice(idx + 1))];
|
||||
}
|
||||
|
||||
function choose_pdf_func(distr_string) {
|
||||
// If distr_string requires MC, try all possible
|
||||
// choices for the deterministic distribution,
|
||||
// and pick the one with the least variance.
|
||||
var variances = [];
|
||||
let transform_func = get_grid_transform(distr_string);
|
||||
let substrings = parse.get_distr_substrings(distr_string);
|
||||
var pdfs = get_distributions(substrings);
|
||||
if (pdfs.length === 1) {
|
||||
return [pdfs[0], []];
|
||||
}
|
||||
var start_pt = 0;
|
||||
var end_pt = 0;
|
||||
for (let i = 0; i < pdfs.length; ++i) {
|
||||
var outputs = [];
|
||||
for (let j = 0; j < 20; ++j) {
|
||||
let tree = new bst.AVLTree();
|
||||
let [deterministic_pdf, mc_distrs] = pluck_from_array(pdfs, i);
|
||||
let [this_start_pt, this_end_pt] = update_transformed_divider_points_bst(
|
||||
transform_func,
|
||||
deterministic_pdf,
|
||||
mc_distrs,
|
||||
0,
|
||||
10,
|
||||
tree
|
||||
);
|
||||
[start_pt, end_pt] =
|
||||
j === 0 ? [this_start_pt, this_end_pt] : [start_pt, end_pt];
|
||||
var output_grid = evenly_spaced_grid(start_pt, end_pt, 100);
|
||||
let final_pdf_vals = get_final_pdf(
|
||||
[deterministic_pdf.pdf_vals],
|
||||
tree,
|
||||
output_grid
|
||||
);
|
||||
outputs.push(final_pdf_vals);
|
||||
}
|
||||
variances.push(variance(outputs));
|
||||
}
|
||||
let best_variance = Math.min(...variances);
|
||||
let best_idx = variances
|
||||
.map((val, idx) => [val, idx])
|
||||
.filter(x => x[0] === best_variance)[0][1];
|
||||
let mc_distrs = pdfs.slice(0, best_idx).concat(pdfs.slice(best_idx + 1));
|
||||
return [pdfs[best_idx], mc_distrs];
|
||||
}
|
||||
|
||||
function get_grid_transform(distr_string) {
|
||||
let substrings = parse.get_distr_substrings(distr_string);
|
||||
let arg_strings = [];
|
||||
for (let i = 0; i < substrings.length; ++i) {
|
||||
distr_string = distr_string.replace(substrings[i], "x_" + i.toString());
|
||||
arg_strings.push("x_" + i.toString());
|
||||
}
|
||||
let compiled = math.compile(distr_string);
|
||||
|
||||
function grid_transform(x) {
|
||||
let kv_pairs = arg_strings.map((val, idx) => [val, x[idx]]);
|
||||
let args_obj = Object.fromEntries(new Map(kv_pairs));
|
||||
return compiled.evaluate(args_obj);
|
||||
}
|
||||
|
||||
return grid_transform;
|
||||
}
|
||||
|
||||
exports.get_pdf_from_user_input = get_pdf_from_user_input;
|
119
src/components/editor/parse.js
Normal file
119
src/components/editor/parse.js
Normal file
|
@ -0,0 +1,119 @@
|
|||
// Functions for parsing/processing user input strings are here
|
||||
const _math = require("mathjs");
|
||||
const math = _math.create(_math.all);
|
||||
|
||||
const DISTR_REGEXS = [
|
||||
/beta\(/g,
|
||||
/(log)?normal\(/g,
|
||||
/multimodal\(/g,
|
||||
/mm\(/g,
|
||||
/uniform\(/g
|
||||
];
|
||||
|
||||
function parse_initial_string(user_input_string) {
|
||||
let outer_output_string = "";
|
||||
let mm_args_string = "";
|
||||
let idx = 0;
|
||||
while (idx < user_input_string.length) {
|
||||
if (
|
||||
user_input_string.substring(idx - 11, idx) === "multimodal(" ||
|
||||
user_input_string.substring(idx - 3, idx) === "mm("
|
||||
) {
|
||||
let num_open_brackets = 1;
|
||||
while (num_open_brackets > 0 && idx < user_input_string.length) {
|
||||
mm_args_string += user_input_string[idx];
|
||||
idx += 1;
|
||||
if (user_input_string[idx] === ")") {
|
||||
num_open_brackets -= 1;
|
||||
} else if (user_input_string[idx] === "(") {
|
||||
num_open_brackets += 1;
|
||||
}
|
||||
}
|
||||
outer_output_string += ")";
|
||||
idx += 1;
|
||||
} else {
|
||||
outer_output_string += user_input_string[idx];
|
||||
idx += 1;
|
||||
}
|
||||
}
|
||||
return {
|
||||
outer_string: outer_output_string,
|
||||
mm_args_string: mm_args_string
|
||||
};
|
||||
}
|
||||
|
||||
function separate_mm_args(mm_args_string) {
|
||||
if (mm_args_string.endsWith(",")) {
|
||||
mm_args_string = mm_args_string.slice(0, -1);
|
||||
}
|
||||
let args_array = [];
|
||||
let num_open_brackets = 0;
|
||||
let arg_substring = "";
|
||||
for (let char of mm_args_string) {
|
||||
if (num_open_brackets === 0 && char === ",") {
|
||||
args_array.push(arg_substring.trim());
|
||||
arg_substring = "";
|
||||
} else {
|
||||
if (char === ")" || char === "]") {
|
||||
num_open_brackets -= 1;
|
||||
} else if (char === "(" || char === "[") {
|
||||
num_open_brackets += 1;
|
||||
}
|
||||
arg_substring += char;
|
||||
}
|
||||
}
|
||||
return {
|
||||
distrs: args_array,
|
||||
weights: arg_substring.trim()
|
||||
};
|
||||
}
|
||||
|
||||
function get_distr_substrings(distr_string) {
|
||||
let substrings = [];
|
||||
for (let regex of DISTR_REGEXS) {
|
||||
let matches = distr_string.matchAll(regex);
|
||||
for (let match of matches) {
|
||||
let idx = match.index + match[0].length;
|
||||
let num_open_brackets = 1;
|
||||
let distr_substring = "";
|
||||
while (num_open_brackets !== 0 && idx < distr_string.length) {
|
||||
distr_substring += distr_string[idx];
|
||||
if (distr_string[idx] === "(") {
|
||||
num_open_brackets += 1;
|
||||
} else if (distr_string[idx] === ")") {
|
||||
num_open_brackets -= 1;
|
||||
}
|
||||
idx += 1;
|
||||
}
|
||||
substrings.push((match[0] + distr_substring).trim());
|
||||
}
|
||||
}
|
||||
|
||||
return substrings;
|
||||
}
|
||||
|
||||
function get_distr_name_and_args(substr) {
|
||||
let distr_name = "";
|
||||
let args_str = "";
|
||||
let args_flag = false;
|
||||
for (let char of substr) {
|
||||
if (!args_flag && char !== "(") {
|
||||
distr_name += char;
|
||||
}
|
||||
if (args_flag && char !== ")") {
|
||||
args_str += char;
|
||||
}
|
||||
if (char === "(") {
|
||||
args_str += "[";
|
||||
args_flag = true;
|
||||
}
|
||||
}
|
||||
args_str += "]";
|
||||
let args = math.compile(args_str).evaluate()._data;
|
||||
return [distr_name, args];
|
||||
}
|
||||
|
||||
exports.get_distr_name_and_args = get_distr_name_and_args;
|
||||
exports.get_distr_substrings = get_distr_substrings;
|
||||
exports.separate_mm_args = separate_mm_args;
|
||||
exports.parse_initial_string = parse_initial_string;
|
50
yarn.lock
50
yarn.lock
|
@ -2333,6 +2333,13 @@ binary-extensions@^2.0.0:
|
|||
resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.0.0.tgz#23c0df14f6a88077f5f986c0d167ec03c3d5537c"
|
||||
integrity sha512-Phlt0plgpIIBOGTT/ehfFnbNlfsDEiqmzE2KRXoX1bLIlir4X/MR+zSyBEkL05ffWgnRSf/DXv+WrUAVr93/ow==
|
||||
|
||||
binary-search-tree@0.2.6:
|
||||
version "0.2.6"
|
||||
resolved "https://registry.yarnpkg.com/binary-search-tree/-/binary-search-tree-0.2.6.tgz#c6d29194e286827fcffe079010e6bf77def10ce3"
|
||||
integrity sha1-xtKRlOKGgn/P/geQEOa/d97xDOM=
|
||||
dependencies:
|
||||
underscore "~1.4.4"
|
||||
|
||||
bindings@^1.5.0:
|
||||
version "1.5.0"
|
||||
resolved "https://registry.yarnpkg.com/bindings/-/bindings-1.5.0.tgz#10353c9e945334bc0511a6d90b38fbc7c9c504df"
|
||||
|
@ -2889,7 +2896,7 @@ commander@2, commander@^2.11.0, commander@^2.18.0, commander@^2.19.0, commander@
|
|||
resolved "https://registry.yarnpkg.com/commander/-/commander-2.20.3.tgz#fd485e84c03eb4881c20722ba48035e8531aeb33"
|
||||
integrity sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ==
|
||||
|
||||
complex.js@2.0.11:
|
||||
complex.js@2.0.11, complex.js@^2.0.11:
|
||||
version "2.0.11"
|
||||
resolved "https://registry.yarnpkg.com/complex.js/-/complex.js-2.0.11.tgz#09a873fbf15ffd8c18c9c2201ccef425c32b8bf1"
|
||||
integrity sha512-6IArJLApNtdg1P1dFtn3dnyzoZBEF0MwMnrfF1exSBRpZYoy4yieMkpZhQDC0uwctw48vii0CFVyHfpgZ/DfGw==
|
||||
|
@ -3632,7 +3639,7 @@ decamelize@^1.2.0:
|
|||
resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
|
||||
integrity sha1-9lNNFRSCabIDUue+4m9QH5oZEpA=
|
||||
|
||||
decimal.js@10.2.0:
|
||||
decimal.js@10.2.0, decimal.js@^10.2.0:
|
||||
version "10.2.0"
|
||||
resolved "https://registry.yarnpkg.com/decimal.js/-/decimal.js-10.2.0.tgz#39466113a9e036111d02f82489b5fd6b0b5ed231"
|
||||
integrity sha512-vDPw+rDgn3bZe1+F/pyEwb1oMG2XTlRVgAa6B4KccTEpYgF8w6eQllVbQcfIJnZyvzFtFpxnpGtx8dd7DJp/Rw==
|
||||
|
@ -4043,7 +4050,7 @@ escape-html@~1.0.3:
|
|||
resolved "https://registry.yarnpkg.com/escape-html/-/escape-html-1.0.3.tgz#0258eae4d3d0c0974de1c169188ef0051d1d1988"
|
||||
integrity sha1-Aljq5NPQwJdN4cFpGI7wBR0dGYg=
|
||||
|
||||
escape-latex@1.2.0:
|
||||
escape-latex@1.2.0, escape-latex@^1.2.0:
|
||||
version "1.2.0"
|
||||
resolved "https://registry.yarnpkg.com/escape-latex/-/escape-latex-1.2.0.tgz#07c03818cf7dac250cce517f4fda1b001ef2bca1"
|
||||
integrity sha512-nV5aVWW1K0wEiUIEdZ4erkGGH8mDxGyxSeqPzRNtWP7ataw+/olFObw7hujFWlVjNsaDFw5VZ5NzVSIqRgfTiw==
|
||||
|
@ -4438,7 +4445,7 @@ form-data@~2.3.2:
|
|||
combined-stream "^1.0.6"
|
||||
mime-types "^2.1.12"
|
||||
|
||||
fraction.js@4.0.12:
|
||||
fraction.js@4.0.12, fraction.js@^4.0.12:
|
||||
version "4.0.12"
|
||||
resolved "https://registry.yarnpkg.com/fraction.js/-/fraction.js-4.0.12.tgz#0526d47c65a5fb4854df78bc77f7bec708d7b8c3"
|
||||
integrity sha512-8Z1K0VTG4hzYY7kA/1sj4/r1/RWLBD3xwReT/RCrUCbzPszjNQCCsy3ktkU/eaEqX3MYa4pY37a52eiBlPMlhA==
|
||||
|
@ -5410,7 +5417,7 @@ iterall@^1.2.1, iterall@^1.2.2:
|
|||
resolved "https://registry.yarnpkg.com/iterall/-/iterall-1.3.0.tgz#afcb08492e2915cbd8a0884eb93a8c94d0d72fea"
|
||||
integrity sha512-QZ9qOMdF+QLHxy1QIpUHUU1D5pS2CG2P69LF6L6CPjPYA/XMOmKV3PZpawHoAjHNyB0swdVTRxdYT4tbBbxqwg==
|
||||
|
||||
javascript-natural-sort@0.7.1:
|
||||
javascript-natural-sort@0.7.1, javascript-natural-sort@^0.7.1:
|
||||
version "0.7.1"
|
||||
resolved "https://registry.yarnpkg.com/javascript-natural-sort/-/javascript-natural-sort-0.7.1.tgz#f9e2303d4507f6d74355a73664d1440fb5a0ef59"
|
||||
integrity sha1-+eIwPUUH9tdDVac2ZNFED7Wg71k=
|
||||
|
@ -6320,6 +6327,11 @@ jstat@1.9.0:
|
|||
resolved "https://registry.yarnpkg.com/jstat/-/jstat-1.9.0.tgz#96a625f5697566f6ba3b15832fb371f9451b8614"
|
||||
integrity sha512-xSsSJ3qY4rS+u8+dAwRcJ0LQGxNdibdW6rSalNPZDbLYkW1C7b0/j79IxXtQjrweqMNI3asN7FCIPceNSIJr2g==
|
||||
|
||||
jstat@1.9.2:
|
||||
version "1.9.2"
|
||||
resolved "https://registry.yarnpkg.com/jstat/-/jstat-1.9.2.tgz#cd2d24df200fd3488861dc7868be01ff65a238cc"
|
||||
integrity sha512-nc3uAadgrWWvJz6RyXUFN0lvTWEXYxMVIrm6ZVoOh4YPLvukLKYpqMofKIE2ReWkL7gFw6hEo6VWZjotYW2Bsw==
|
||||
|
||||
kind-of@^3.0.2, kind-of@^3.0.3, kind-of@^3.2.0:
|
||||
version "3.2.2"
|
||||
resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-3.2.2.tgz#31ea21a734bab9bbb0f32466d893aea51e4a3c64"
|
||||
|
@ -6559,6 +6571,20 @@ mathjs@5.10.3:
|
|||
tiny-emitter "2.1.0"
|
||||
typed-function "1.1.0"
|
||||
|
||||
mathjs@6.6.0:
|
||||
version "6.6.0"
|
||||
resolved "https://registry.yarnpkg.com/mathjs/-/mathjs-6.6.0.tgz#0d71c7cc6b50bd112e160b55703a395caf4db4b1"
|
||||
integrity sha512-gYYc1+irFbwuwYUx6O8G2YauvbD1+tPBbq829PaxAiRWpPzPEE8pvwGgvdMuk6c3pqhm6Do/mN26vLiQP46H5A==
|
||||
dependencies:
|
||||
complex.js "^2.0.11"
|
||||
decimal.js "^10.2.0"
|
||||
escape-latex "^1.2.0"
|
||||
fraction.js "^4.0.12"
|
||||
javascript-natural-sort "^0.7.1"
|
||||
seed-random "^2.2.0"
|
||||
tiny-emitter "^2.1.0"
|
||||
typed-function "^1.1.1"
|
||||
|
||||
md5.js@^1.3.4:
|
||||
version "1.3.5"
|
||||
resolved "https://registry.yarnpkg.com/md5.js/-/md5.js-1.3.5.tgz#b5d07b8e3216e3e27cd728d72f70d1e6a342005f"
|
||||
|
@ -9235,7 +9261,7 @@ screenfull@^5.0.0:
|
|||
resolved "https://registry.yarnpkg.com/screenfull/-/screenfull-5.0.2.tgz#b9acdcf1ec676a948674df5cd0ff66b902b0bed7"
|
||||
integrity sha512-cCF2b+L/mnEiORLN5xSAz6H3t18i2oHh9BA8+CQlAh5DRw2+NFAGQJOSYbcGw8B2k04g/lVvFcfZ83b3ysH5UQ==
|
||||
|
||||
seed-random@2.2.0:
|
||||
seed-random@2.2.0, seed-random@^2.2.0:
|
||||
version "2.2.0"
|
||||
resolved "https://registry.yarnpkg.com/seed-random/-/seed-random-2.2.0.tgz#2a9b19e250a817099231a5b99a4daf80b7fbed54"
|
||||
integrity sha1-KpsZ4lCoFwmSMaW5mk2vgLf77VQ=
|
||||
|
@ -9989,7 +10015,7 @@ timsort@^0.3.0:
|
|||
resolved "https://registry.yarnpkg.com/timsort/-/timsort-0.3.0.tgz#405411a8e7e6339fe64db9a234de11dc31e02bd4"
|
||||
integrity sha1-QFQRqOfmM5/mTbmiNN4R3DHgK9Q=
|
||||
|
||||
tiny-emitter@2.1.0:
|
||||
tiny-emitter@2.1.0, tiny-emitter@^2.1.0:
|
||||
version "2.1.0"
|
||||
resolved "https://registry.yarnpkg.com/tiny-emitter/-/tiny-emitter-2.1.0.tgz#1d1a56edfc51c43e863cbb5382a72330e3555423"
|
||||
integrity sha512-NB6Dk1A9xgQPMoGqC5CVXn123gWyte215ONT5Pp5a0yt4nlEoO1ZWeCwpncaekPHXO60i47ihFnZPiRPjRMq4Q==
|
||||
|
@ -10176,6 +10202,11 @@ typed-function@1.1.0:
|
|||
resolved "https://registry.yarnpkg.com/typed-function/-/typed-function-1.1.0.tgz#ea149706e0fb42aca1791c053a6d94ccd6c4fdcb"
|
||||
integrity sha512-TuQzwiT4DDg19beHam3E66oRXhyqlyfgjHB/5fcvsRXbfmWPJfto9B4a0TBdTrQAPGlGmXh/k7iUI+WsObgORA==
|
||||
|
||||
typed-function@^1.1.1:
|
||||
version "1.1.1"
|
||||
resolved "https://registry.yarnpkg.com/typed-function/-/typed-function-1.1.1.tgz#a1316187ec3628c9e219b91ca96918660a10138e"
|
||||
integrity sha512-RbN7MaTQBZLJYzDENHPA0nUmWT0Ex80KHItprrgbTPufYhIlTePvCXZxyQK7wgn19FW5bnuaBIKcBb5mRWjB1Q==
|
||||
|
||||
typedarray-to-buffer@^3.1.5:
|
||||
version "3.1.5"
|
||||
resolved "https://registry.yarnpkg.com/typedarray-to-buffer/-/typedarray-to-buffer-3.1.5.tgz#a97ee7a9ff42691b9f783ff1bc5112fe3fca9080"
|
||||
|
@ -10208,6 +10239,11 @@ uncss@^0.17.2:
|
|||
postcss-selector-parser "6.0.2"
|
||||
request "^2.88.0"
|
||||
|
||||
underscore@~1.4.4:
|
||||
version "1.4.4"
|
||||
resolved "https://registry.yarnpkg.com/underscore/-/underscore-1.4.4.tgz#61a6a32010622afa07963bf325203cf12239d604"
|
||||
integrity sha1-YaajIBBiKvoHljvzJSA88SI51gQ=
|
||||
|
||||
unicode-canonical-property-names-ecmascript@^1.0.4:
|
||||
version "1.0.4"
|
||||
resolved "https://registry.yarnpkg.com/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-1.0.4.tgz#2619800c4c825800efdd8343af7dd9933cbe2818"
|
||||
|
|
Loading…
Reference in New Issue
Block a user