Merge branch 'develop' into Umur-reducer-dev

packages/components/README.md

@@ -1,9 +1,9 @@
 [![npm version](https://badge.fury.io/js/@quri%2Fsquiggle-components.svg)](https://www.npmjs.com/package/@quri/squiggle-components)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/quantified-uncertainty/squiggle/blob/develop/LICENSE)
 
-# Squiggle Components
+# Squiggle components
 
-This package contains all the components for squiggle. These can be used either as a library or hosted as a [storybook](https://storybook.js.org/).
+This package contains the react components for squiggle. These can be used either as a library or hosted as a [storybook](https://storybook.js.org/).
 
 # Usage in a `react` project
 
@@ -17,7 +17,10 @@ Add to `App.js`:
 
 ```jsx
 import { SquiggleEditor } from "@quri/squiggle-components";
-<SquiggleEditor initialSquiggleString="x = beta(3, 10); x + 20" />;
+<SquiggleEditor
+  initialSquiggleString="x = beta($alpha, 10); x + $shift"
+  jsImports={{ alpha: 3, shift: 20 }}
+/>;
 ```
 
 # Build storybook for development
@@ -38,9 +41,3 @@ Run a development server
 ```sh
 yarn start
 ```
-
-And build artefacts for production,
-
-```sh
-yarn build  # builds storybook app
-```

packages/components/package.json

@@ -1,19 +1,19 @@
 {
   "name": "@quri/squiggle-components",
-  "version": "0.2.14",
+  "version": "0.2.17",
   "license": "MIT",
   "dependencies": {
-    "react-ace": "10.1.0",
+    "@quri/squiggle-lang": "^0.2.8",
-    "@quri/squiggle-lang": "^0.2.7",
-    "react-dom": "^18.1.0",
-    "vega": "^5.22.1",
-    "vega-embed": "^6.20.6",
-    "vega-lite": "^5.2.0",
-    "react-vega": "^7.5.0",
-    "react": "^18.1.0",
     "@react-hook/size": "^2.1.2",
     "lodash": "^4.17.21",
-    "styled-components": "^5.3.5"
+    "react": "^18.1.0",
+    "react-ace": "^10.1.0",
+    "react-dom": "^18.1.0",
+    "react-vega": "^7.5.0",
+    "styled-components": "^5.3.5",
+    "vega": "^5.22.1",
+    "vega-embed": "^6.20.6",
+    "vega-lite": "^5.2.0"
   },
   "devDependencies": {
     "@babel/plugin-proposal-private-property-in-object": "^7.16.7",
@@ -25,36 +25,35 @@
     "@storybook/node-logger": "^6.4.22",
     "@storybook/preset-create-react-app": "^4.1.0",
     "@storybook/react": "^6.4.22",
-    "@types/styled-components": "^5.1.24",
-    "@types/webpack": "^5.28.0",
-    "style-loader": "^3.3.1",
-    "ts-loader": "^9.2.9",
-    "webpack": "^5.72.0",
-    "webpack-cli": "^4.9.2",
-    "webpack-dev-server": "^4.8.1",
     "@testing-library/jest-dom": "^5.16.4",
     "@testing-library/react": "^13.1.1",
     "@testing-library/user-event": "^14.1.1",
     "@types/jest": "^27.4.0",
-    "web-vitals": "^2.1.4",
     "@types/lodash": "^4.14.182",
     "@types/node": "^17.0.29",
     "@types/react": "^18.0.3",
     "@types/react-dom": "^18.0.2",
+    "@types/styled-components": "^5.1.24",
+    "@types/webpack": "^5.28.0",
     "cross-env": "^7.0.3",
-    "react-scripts": "5.0.1",
+    "react-scripts": "^5.0.1",
+    "style-loader": "^3.3.1",
+    "ts-loader": "^9.2.9",
     "tsconfig-paths-webpack-plugin": "^3.5.2",
     "typescript": "^4.6.3",
-    "webpack-cli": "^4.9.2"
+    "web-vitals": "^2.1.4",
+    "webpack": "^5.72.0",
+    "webpack-cli": "^4.9.2",
+    "webpack-dev-server": "^4.8.1"
   },
   "scripts": {
     "start": "cross-env REACT_APP_FAST_REFRESH=false && start-storybook -p 6006 -s public",
     "build": "tsc -b && build-storybook -s public",
-    "build:package": "tsc -b",
     "bundle": "webpack",
     "all": "yarn bundle && yarn build",
     "lint": "prettier --check .",
-    "format": "prettier --write ."
+    "format": "prettier --write .",
+    "prepack": "yarn bundle && tsc -b"
   },
   "eslintConfig": {
     "extends": [
@@ -88,7 +87,6 @@
     "@types/react": "17.0.43"
   },
   "source": "./src/index.ts",
-  "browser": "dist/bundle.js",
+  "main": "./dist/src/index.js",
-  "main": "dist/src/index.js",
+  "types": "./dist/src/index.d.ts"
-  "types": "dist/src/index.d.ts"
 }

packages/components/src/components/SquiggleChart.tsx

@@ -3,16 +3,17 @@ import _ from "lodash";
 import styled from "styled-components";
 import {
   run,
-  runPartial,
   errorValueToString,
   squiggleExpression,
   bindings,
   samplingParams,
+  jsImports,
+  defaultImports,
+  defaultBindings,
 } from "@quri/squiggle-lang";
 import { NumberShower } from "./NumberShower";
 import { DistributionChart } from "./DistributionChart";
 import { ErrorBox } from "./ErrorBox";
-import useSize from "@react-hook/size";
 
 const variableBox = {
   Component: styled.div`
@@ -143,8 +144,6 @@ export interface SquiggleChartProps {
   diagramStop?: number;
   /** If the result is a function, how many points along the function it samples */
   diagramCount?: number;
-  /** variables declared before this expression */
-  environment?: unknown;
   /** When the environment changes */
   onChange?(expr: squiggleExpression): void;
   /** CSS width of the element */
@@ -152,6 +151,8 @@ export interface SquiggleChartProps {
   height?: number;
   /** Bindings of previous variables declared */
   bindings?: bindings;
+  /** JS imported parameters */
+  jsImports?: jsImports;
 }
 
 const ChartWrapper = styled.div`
@@ -166,14 +167,20 @@ export const SquiggleChart: React.FC<SquiggleChartProps> = ({
   outputXYPoints = 1000,
   onChange = () => {},
   height = 60,
-  bindings = {},
+  bindings = defaultBindings,
+  jsImports = defaultImports,
   width = NaN,
 }: SquiggleChartProps) => {
   let samplingInputs: samplingParams = {
     sampleCount: sampleCount,
     xyPointLength: outputXYPoints,
   };
-  let expressionResult = run(squiggleString, bindings, samplingInputs);
+  let expressionResult = run(
+    squiggleString,
+    bindings,
+    samplingInputs,
+    jsImports
+  );
   let internal: JSX.Element;
   if (expressionResult.tag === "Ok") {
     let expression = expressionResult.value;

packages/components/src/components/SquiggleEditor.tsx

@@ -3,8 +3,18 @@ import * as ReactDOM from "react-dom";
 import { SquiggleChart } from "./SquiggleChart";
 import { CodeEditor } from "./CodeEditor";
 import styled from "styled-components";
-import type { squiggleExpression, bindings } from "@quri/squiggle-lang";
+import type {
-import { runPartial, errorValueToString } from "@quri/squiggle-lang";
+  squiggleExpression,
+  samplingParams,
+  bindings,
+  jsImports,
+} from "@quri/squiggle-lang";
+import {
+  runPartial,
+  errorValueToString,
+  defaultImports,
+  defaultBindings,
+} from "@quri/squiggle-lang";
 import { ErrorBox } from "./ErrorBox";
 
 export interface SquiggleEditorProps {
@@ -22,14 +32,14 @@ export interface SquiggleEditorProps {
   diagramStop?: number;
   /** If the result is a function, how many points along the function it samples */
   diagramCount?: number;
-  /** The environment, other variables that were already declared */
-  environment?: unknown;
   /** when the environment changes. Used again for notebook magic*/
   onChange?(expr: squiggleExpression): void;
   /** The width of the element */
-  width: number;
+  width?: number;
   /** Previous variable declarations */
-  bindings: bindings;
+  bindings?: bindings;
+  /** JS Imports */
+  jsImports?: jsImports;
 }
 
 const Input = styled.div`
@@ -49,8 +59,8 @@ export let SquiggleEditor: React.FC<SquiggleEditorProps> = ({
   diagramStop,
   diagramCount,
   onChange,
-  environment,
+  bindings = defaultBindings,
-  bindings = {},
+  jsImports = defaultImports,
 }: SquiggleEditorProps) => {
   let [expression, setExpression] = React.useState(initialSquiggleString);
   return (
@@ -74,9 +84,9 @@ export let SquiggleEditor: React.FC<SquiggleEditorProps> = ({
         diagramStart={diagramStart}
         diagramStop={diagramStop}
         diagramCount={diagramCount}
-        environment={environment}
         onChange={onChange}
         bindings={bindings}
+        jsImports={jsImports}
       />
     </div>
   );
@@ -131,19 +141,31 @@ export interface SquigglePartialProps {
   diagramCount?: number;
   /** when the environment changes. Used again for notebook magic*/
   onChange?(expr: bindings): void;
-  /** The width of the element */
-  width: number;
   /** Previously declared variables */
-  bindings: bindings;
+  bindings?: bindings;
+  /** Variables imported from js */
+  jsImports?: jsImports;
 }
 
 export let SquigglePartial: React.FC<SquigglePartialProps> = ({
   initialSquiggleString = "",
   onChange,
-  bindings,
+  bindings = defaultBindings,
+  sampleCount = 1000,
+  outputXYPoints = 1000,
+  jsImports = defaultImports,
 }: SquigglePartialProps) => {
+  let samplingInputs: samplingParams = {
+    sampleCount: sampleCount,
+    xyPointLength: outputXYPoints,
+  };
   let [expression, setExpression] = React.useState(initialSquiggleString);
-  let squiggleResult = runPartial(expression, bindings);
+  let squiggleResult = runPartial(
+    expression,
+    bindings,
+    samplingInputs,
+    jsImports
+  );
   if (squiggleResult.tag == "Ok") {
     if (onChange) onChange(squiggleResult.value);
   }

packages/components/src/vega-specs/spec-distributions.json

@@ -88,7 +88,7 @@
       "tickOpacity": 0.0,
       "domainColor": "#fff",
       "domainOpacity": 0.0,
-      "format": "~s",
+      "format": "~g",
       "tickCount": 10
     }
   ],

packages/squiggle-lang/README.md

@@ -3,7 +3,26 @@
 
 # Squiggle language
 
-## Build for development
+_An estimation language_
+
+# Use the `npm` package
+
+For instance, in a javascript project, you can
+
+```sh
+yarn add @quri/squiggle-lang
+```
+
+```js
+import { run } from "@quri/squiggle-lang";
+run(
+  "normal(0, 1) * fromSamples([-3,-2,-1,1,2,3,3,3,4,9]"
+).value.value.toSparkline().value;
+```
+
+**However, for most use cases you'll prefer to use our [library of react components](https://www.npmjs.com/package/@quri/squiggle-components)**, and let your app transitively depend on `@quri/squiggle-lang`.
+
+# Build for development
 
 We assume that you ran `yarn` at the monorepo level.
 
@@ -23,7 +42,7 @@ yarn test
 yarn coverage:rescript; o _coverage/index.html  # produces coverage report and opens it in browser
 ```
 
-## Distributing this package or using this package from other monorepo packages
+# Distributing this package or using this package from other monorepo packages
 
 As it says in the other `packages/*/README.md`s, building this package is an essential step of building other packages.
 

packages/squiggle-lang/__tests__/TS/JS_test.ts

@@ -1,4 +1,4 @@
-import { Distribution, resultMap } from "../../src/js/index";
+import { Distribution, resultMap, defaultBindings } from "../../src/js/index";
 import { testRun, testRunPartial } from "./TestHelpers";
 
 function Ok<b>(x: b) {
@@ -68,6 +68,28 @@ describe("Partials", () => {
   });
 });
 
+describe("JS Imports", () => {
+  test("Can pass parameters into partials and cells", () => {
+    let bindings = testRunPartial(`y = $x + 2`, defaultBindings, { x: 1 });
+    let bindings2 = testRunPartial(`z = y + $a`, bindings, { a: 3 });
+    expect(testRun(`z`, bindings2)).toEqual({
+      tag: "number",
+      value: 6,
+    });
+  });
+  test("Complicated deep parameters", () => {
+    expect(
+      testRun(`$x.y[0][0].w + $x.z + $u.v`, defaultBindings, {
+        x: { y: [[{ w: 1 }]], z: 2 },
+        u: { v: 3 },
+      })
+    ).toEqual({
+      tag: "number",
+      value: 6,
+    });
+  });
+});
+
 describe("Distribution", () => {
   //It's important that sampleCount is less than 9. If it's more, than that will create randomness
   //Also, note, the value should be created using makeSampleSetDist() later on.

packages/squiggle-lang/__tests__/TS/SampleSet_test.ts

@@ -1,5 +1,5 @@
 import { Distribution } from "../../src/js/index";
-import { expectErrorToBeBounded, failDefault } from "./TestHelpers";
+import { expectErrorToBeBounded, failDefault, testRun } from "./TestHelpers";
 import * as fc from "fast-check";
 
 // Beware: float64Array makes it appear in an infinite loop.
@@ -212,3 +212,18 @@ describe("mean is mean", () => {
     );
   });
 });
+
+describe("fromSamples function", () => {
+  test.skip("gives a mean near the mean of the input", () => {
+    fc.assert(
+      fc.property(arrayGen(), (xs_) => {
+        let xs = Array.from(xs_);
+        let xsString = xs.toString();
+        let squiggleString = `x = fromSamples([${xsString}]); mean(x)`;
+        let squiggleResult = testRun(squiggleString);
+        let mean = xs.reduce((a, b) => a + b, 0.0) / xs.length;
+        expect(squiggleResult.value).toBeCloseTo(mean, 4);
+      })
+    );
+  });
+});

packages/squiggle-lang/__tests__/TS/TestHelpers.ts

@@ -4,14 +4,25 @@ import {
   bindings,
   squiggleExpression,
   errorValueToString,
+  defaultImports,
+  defaultBindings,
+  jsImports,
 } from "../../src/js/index";
 
-export function testRun(x: string, bindings = {}): squiggleExpression {
+export function testRun(
-  let squiggleResult = run(x, bindings, {
+  x: string,
-    sampleCount: 1000,
+  bindings: bindings = defaultBindings,
-    xyPointLength: 100,
+  imports: jsImports = defaultImports
-  });
+): squiggleExpression {
-  // return squiggleResult.value
+  let squiggleResult = run(
+    x,
+    bindings,
+    {
+      sampleCount: 1000,
+      xyPointLength: 100,
+    },
+    imports
+  );
   if (squiggleResult.tag === "Ok") {
     return squiggleResult.value;
   } else {
@@ -23,11 +34,20 @@ export function testRun(x: string, bindings = {}): squiggleExpression {
   }
 }
 
-export function testRunPartial(x: string, bindings: bindings = {}): bindings {
+export function testRunPartial(
-  let squiggleResult = runPartial(x, bindings, {
+  x: string,
-    sampleCount: 1000,
+  bindings: bindings = defaultBindings,
-    xyPointLength: 100,
+  imports: jsImports = defaultImports
-  });
+): bindings {
+  let squiggleResult = runPartial(
+    x,
+    bindings,
+    {
+      sampleCount: 1000,
+      xyPointLength: 100,
+    },
+    imports
+  );
   if (squiggleResult.tag === "Ok") {
     return squiggleResult.value;
   } else {

packages/squiggle-lang/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@quri/squiggle-lang",
-  "version": "0.2.7",
+  "version": "0.2.8",
   "homepage": "https://squiggle-language.com",
   "license": "MIT",
   "scripts": {
@@ -24,6 +24,7 @@
     "format:rescript": "rescript format -all",
     "format:prettier": "prettier --write .",
     "format": "yarn format:rescript && yarn format:prettier",
+    "prepack": "yarn build && yarn test && yarn bundle",
     "all": "yarn build && yarn bundle && yarn test"
   },
   "keywords": [
@@ -35,22 +36,22 @@
     "rescript": "^9.1.4",
     "jstat": "^1.9.5",
     "pdfast": "^0.2.0",
-    "mathjs": "10.5.0"
+    "mathjs": "^10.5.0"
   },
   "devDependencies": {
     "bisect_ppx": "^2.7.1",
-    "lodash": "4.17.21",
+    "lodash": "^4.17.21",
     "rescript-fast-check": "^1.1.1",
     "@glennsl/rescript-jest": "^0.9.0",
     "@istanbuljs/nyc-config-typescript": "^1.0.2",
     "@types/jest": "^27.4.0",
     "babel-plugin-transform-es2015-modules-commonjs": "^6.26.2",
     "chalk": "^5.0.1",
-    "codecov": "3.8.3",
+    "codecov": "^3.8.3",
-    "fast-check": "2.25.0",
+    "fast-check": "^2.25.0",
     "gentype": "^4.3.0",
     "jest": "^27.5.1",
-    "moduleserve": "0.9.1",
+    "moduleserve": "^0.9.1",
     "nyc": "^15.1.0",
     "reanalyze": "^2.19.0",
     "ts-jest": "^27.1.4",

packages/squiggle-lang/src/js/distribution.ts

@@ -0,0 +1,247 @@
+import * as _ from "lodash";
+import {
+  genericDist,
+  continuousShape,
+  discreteShape,
+  samplingParams,
+  distributionError,
+  toPointSet,
+  distributionErrorToString,
+} from "../rescript/TypescriptInterface.gen";
+import { result, resultMap, Ok } from "./types";
+import {
+  Constructors_mean,
+  Constructors_sample,
+  Constructors_pdf,
+  Constructors_cdf,
+  Constructors_inv,
+  Constructors_normalize,
+  Constructors_isNormalized,
+  Constructors_toPointSet,
+  Constructors_toSampleSet,
+  Constructors_truncate,
+  Constructors_inspect,
+  Constructors_toString,
+  Constructors_toSparkline,
+  Constructors_algebraicAdd,
+  Constructors_algebraicMultiply,
+  Constructors_algebraicDivide,
+  Constructors_algebraicSubtract,
+  Constructors_algebraicLogarithm,
+  Constructors_algebraicPower,
+  Constructors_pointwiseAdd,
+  Constructors_pointwiseMultiply,
+  Constructors_pointwiseDivide,
+  Constructors_pointwiseSubtract,
+  Constructors_pointwiseLogarithm,
+  Constructors_pointwisePower,
+} from "../rescript/Distributions/DistributionOperation/DistributionOperation.gen";
+
+export type point = { x: number; y: number };
+
+function shapePoints(x: continuousShape | discreteShape): point[] {
+  let xs = x.xyShape.xs;
+  let ys = x.xyShape.ys;
+  return _.zipWith(xs, ys, (x, y) => ({ x, y }));
+}
+export type shape = {
+  continuous: point[];
+  discrete: point[];
+};
+
+export class Distribution {
+  t: genericDist;
+  env: samplingParams;
+
+  constructor(t: genericDist, env: samplingParams) {
+    this.t = t;
+    this.env = env;
+    return this;
+  }
+
+  mapResultDist(
+    r: result<genericDist, distributionError>
+  ): result<Distribution, distributionError> {
+    return resultMap(r, (v: genericDist) => new Distribution(v, this.env));
+  }
+
+  mean(): result<number, distributionError> {
+    return Constructors_mean({ env: this.env }, this.t);
+  }
+
+  sample(): result<number, distributionError> {
+    return Constructors_sample({ env: this.env }, this.t);
+  }
+
+  pdf(n: number): result<number, distributionError> {
+    return Constructors_pdf({ env: this.env }, this.t, n);
+  }
+
+  cdf(n: number): result<number, distributionError> {
+    return Constructors_cdf({ env: this.env }, this.t, n);
+  }
+
+  inv(n: number): result<number, distributionError> {
+    return Constructors_inv({ env: this.env }, this.t, n);
+  }
+
+  isNormalized(): result<boolean, distributionError> {
+    return Constructors_isNormalized({ env: this.env }, this.t);
+  }
+
+  normalize(): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_normalize({ env: this.env }, this.t)
+    );
+  }
+
+  type() {
+    return this.t.tag;
+  }
+
+  pointSet(): result<shape, distributionError> {
+    let pointSet = toPointSet(
+      this.t,
+      {
+        xyPointLength: this.env.xyPointLength,
+        sampleCount: this.env.sampleCount,
+      },
+      undefined
+    );
+    if (pointSet.tag === "Ok") {
+      let distribution = pointSet.value;
+      if (distribution.tag === "Continuous") {
+        return Ok({
+          continuous: shapePoints(distribution.value),
+          discrete: [],
+        });
+      } else if (distribution.tag === "Discrete") {
+        return Ok({
+          discrete: shapePoints(distribution.value),
+          continuous: [],
+        });
+      } else {
+        return Ok({
+          discrete: shapePoints(distribution.value.discrete),
+          continuous: shapePoints(distribution.value.continuous),
+        });
+      }
+    } else {
+      return pointSet;
+    }
+  }
+
+  toPointSet(): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_toPointSet({ env: this.env }, this.t)
+    );
+  }
+
+  toSampleSet(n: number): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_toSampleSet({ env: this.env }, this.t, n)
+    );
+  }
+
+  truncate(
+    left: number,
+    right: number
+  ): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_truncate({ env: this.env }, this.t, left, right)
+    );
+  }
+
+  inspect(): result<Distribution, distributionError> {
+    return this.mapResultDist(Constructors_inspect({ env: this.env }, this.t));
+  }
+
+  toString(): string {
+    let result = Constructors_toString({ env: this.env }, this.t);
+    if (result.tag === "Ok") {
+      return result.value;
+    } else {
+      return distributionErrorToString(result.value);
+    }
+  }
+
+  toSparkline(n: number): result<string, distributionError> {
+    return Constructors_toSparkline({ env: this.env }, this.t, n);
+  }
+
+  algebraicAdd(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicAdd({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicMultiply(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicMultiply({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicDivide(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicDivide({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicSubtract(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicSubtract({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicLogarithm(
+    d2: Distribution
+  ): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicLogarithm({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicPower(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_algebraicPower({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseAdd(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwiseAdd({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseMultiply(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwiseMultiply({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseDivide(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwiseDivide({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseSubtract(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwiseSubtract({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseLogarithm(
+    d2: Distribution
+  ): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwiseLogarithm({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwisePower(d2: Distribution): result<Distribution, distributionError> {
+    return this.mapResultDist(
+      Constructors_pointwisePower({ env: this.env }, this.t, d2.t)
+    );
+  }
+}

packages/squiggle-lang/src/js/index.ts

@@ -1,6 +1,5 @@
 import * as _ from "lodash";
 import {
-  genericDist,
   samplingParams,
   evaluatePartialUsingExternalBindings,
   externalBindings,
@@ -21,34 +20,23 @@ export {
   errorValueToString,
   distributionErrorToString,
 } from "../rescript/TypescriptInterface.gen";
+export type {
+  samplingParams,
+  errorValue,
+  externalBindings as bindings,
+  jsImports,
+};
 import {
-  Constructors_mean,
+  jsValueToBinding,
-  Constructors_sample,
+  jsValue,
-  Constructors_pdf,
+  rescriptExport,
-  Constructors_cdf,
+  squiggleExpression,
-  Constructors_inv,
+  convertRawToTypescript,
-  Constructors_normalize,
+} from "./rescript_interop";
-  Constructors_isNormalized,
+import { result, resultMap, tag, tagged } from "./types";
-  Constructors_toPointSet,
+import { Distribution } from "./distribution";
-  Constructors_toSampleSet,
+
-  Constructors_truncate,
+export { Distribution, squiggleExpression, result, resultMap };
-  Constructors_inspect,
-  Constructors_toString,
-  Constructors_toSparkline,
-  Constructors_algebraicAdd,
-  Constructors_algebraicMultiply,
-  Constructors_algebraicDivide,
-  Constructors_algebraicSubtract,
-  Constructors_algebraicLogarithm,
-  Constructors_algebraicPower,
-  Constructors_pointwiseAdd,
-  Constructors_pointwiseMultiply,
-  Constructors_pointwiseDivide,
-  Constructors_pointwiseSubtract,
-  Constructors_pointwiseLogarithm,
-  Constructors_pointwisePower,
-} from "../rescript/Distributions/DistributionOperation/DistributionOperation.gen";
-export type { samplingParams, errorValue, externalBindings as bindings };
 
 export let defaultSamplingInputs: samplingParams = {
   sampleCount: 10000,
@@ -100,27 +88,54 @@ export type squiggleExpression =
 export function run(
   squiggleString: string,
   bindings?: externalBindings,
-  samplingInputs?: samplingParams
+  samplingInputs?: samplingParams,
+  imports?: jsImports
 ): result<squiggleExpression, errorValue> {
-  let b = bindings ? bindings : {};
+  let b = bindings ? bindings : defaultBindings;
+  let i = imports ? imports : defaultImports;
   let si: samplingParams = samplingInputs
     ? samplingInputs
     : defaultSamplingInputs;
 
   let result: result<expressionValue, errorValue> =
-    evaluateUsingExternalBindings(squiggleString, b);
+    evaluateUsingExternalBindings(squiggleString, mergeImports(b, i));
   return resultMap(result, (x) => createTsExport(x, si));
 }
 
 // Run Partial. A partial is a block of code that doesn't return a value
 export function runPartial(
   squiggleString: string,
-  bindings: externalBindings,
+  bindings?: externalBindings,
-  _samplingInputs?: samplingParams
+  _samplingInputs?: samplingParams,
+  imports?: jsImports
 ): result<externalBindings, errorValue> {
-  return evaluatePartialUsingExternalBindings(squiggleString, bindings);
+  let b = bindings ? bindings : defaultBindings;
+  let i = imports ? imports : defaultImports;
+
+  return evaluatePartialUsingExternalBindings(
+    squiggleString,
+    mergeImports(b, i)
+  );
 }
 
+function mergeImports(
+  bindings: externalBindings,
+  imports: jsImports
+): externalBindings {
+  let transformedImports = Object.fromEntries(
+    Object.entries(imports).map(([key, value]) => [
+      "$" + key,
+      jsValueToBinding(value),
+    ])
+  );
+  return _.merge(bindings, transformedImports);
+}
+
+type jsImports = { [key: string]: jsValue };
+
+export let defaultImports: jsImports = {};
+export let defaultBindings: externalBindings = {};
+
 function createTsExport(
   x: expressionValue,
   sampEnv: samplingParams
@@ -183,329 +198,3 @@ function createTsExport(
       return tag("symbol", x.value);
   }
 }
-
-// Helper functions to convert the rescript representations that genType doesn't
-// cover
-function convertRawToTypescript(
-  result: rescriptExport,
-  sampEnv: samplingParams
-): squiggleExpression {
-  switch (result.TAG) {
-    case 0: // EvArray
-      return tag(
-        "array",
-        result._0.map((x) => convertRawToTypescript(x, sampEnv))
-      );
-    case 1: // EvBool
-      return tag("boolean", result._0);
-    case 2: // EvCall
-      return tag("call", result._0);
-    case 3: // EvDistribution
-      return tag(
-        "distribution",
-        new Distribution(
-          convertRawDistributionToGenericDist(result._0),
-          sampEnv
-        )
-      );
-    case 4: // EvNumber
-      return tag("number", result._0);
-    case 5: // EvRecord
-      return tag(
-        "record",
-        _.mapValues(result._0, (x) => convertRawToTypescript(x, sampEnv))
-      );
-    case 6: // EvString
-      return tag("string", result._0);
-    case 7: // EvSymbol
-      return tag("symbol", result._0);
-  }
-}
-
-function convertRawDistributionToGenericDist(
-  result: rescriptDist
-): genericDist {
-  switch (result.TAG) {
-    case 0: // Point Set Dist
-      switch (result._0.TAG) {
-        case 0: // Mixed
-          return tag("PointSet", tag("Mixed", result._0._0));
-        case 1: // Discrete
-          return tag("PointSet", tag("Discrete", result._0._0));
-        case 2: // Continuous
-          return tag("PointSet", tag("Continuous", result._0._0));
-      }
-    case 1: // Sample Set Dist
-      return tag("SampleSet", result._0);
-    case 2: // Symbolic Dist
-      return tag("Symbolic", result._0);
-  }
-}
-
-// Raw rescript types.
-type rescriptExport =
-  | {
-      TAG: 0; // EvArray
-      _0: rescriptExport[];
-    }
-  | {
-      TAG: 1; // EvBool
-      _0: boolean;
-    }
-  | {
-      TAG: 2; // EvCall
-      _0: string;
-    }
-  | {
-      TAG: 3; // EvDistribution
-      _0: rescriptDist;
-    }
-  | {
-      TAG: 4; // EvNumber
-      _0: number;
-    }
-  | {
-      TAG: 5; // EvRecord
-      _0: { [key: string]: rescriptExport };
-    }
-  | {
-      TAG: 6; // EvString
-      _0: string;
-    }
-  | {
-      TAG: 7; // EvSymbol
-      _0: string;
-    };
-
-type rescriptDist =
-  | { TAG: 0; _0: rescriptPointSetDist }
-  | { TAG: 1; _0: sampleSetDist }
-  | { TAG: 2; _0: symbolicDist };
-
-type rescriptPointSetDist =
-  | {
-      TAG: 0; // Mixed
-      _0: mixedShape;
-    }
-  | {
-      TAG: 1; // Discrete
-      _0: discreteShape;
-    }
-  | {
-      TAG: 2; // ContinuousShape
-      _0: continuousShape;
-    };
-
-export function resultExn<a, c>(r: result<a, c>): a | c {
-  return r.value;
-}
-
-export type point = { x: number; y: number };
-
-export type shape = {
-  continuous: point[];
-  discrete: point[];
-};
-
-function shapePoints(x: continuousShape | discreteShape): point[] {
-  let xs = x.xyShape.xs;
-  let ys = x.xyShape.ys;
-  return _.zipWith(xs, ys, (x, y) => ({ x, y }));
-}
-
-export class Distribution {
-  t: genericDist;
-  env: samplingParams;
-
-  constructor(t: genericDist, env: samplingParams) {
-    this.t = t;
-    this.env = env;
-    return this;
-  }
-
-  mapResultDist(
-    r: result<genericDist, distributionError>
-  ): result<Distribution, distributionError> {
-    return resultMap(r, (v: genericDist) => new Distribution(v, this.env));
-  }
-
-  mean(): result<number, distributionError> {
-    return Constructors_mean({ env: this.env }, this.t);
-  }
-
-  sample(): result<number, distributionError> {
-    return Constructors_sample({ env: this.env }, this.t);
-  }
-
-  pdf(n: number): result<number, distributionError> {
-    return Constructors_pdf({ env: this.env }, this.t, n);
-  }
-
-  cdf(n: number): result<number, distributionError> {
-    return Constructors_cdf({ env: this.env }, this.t, n);
-  }
-
-  inv(n: number): result<number, distributionError> {
-    return Constructors_inv({ env: this.env }, this.t, n);
-  }
-
-  isNormalized(): result<boolean, distributionError> {
-    return Constructors_isNormalized({ env: this.env }, this.t);
-  }
-
-  normalize(): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_normalize({ env: this.env }, this.t)
-    );
-  }
-
-  type() {
-    return this.t.tag;
-  }
-
-  pointSet(): result<shape, distributionError> {
-    let pointSet = toPointSet(
-      this.t,
-      {
-        xyPointLength: this.env.xyPointLength,
-        sampleCount: this.env.sampleCount,
-      },
-      undefined
-    );
-    if (pointSet.tag === "Ok") {
-      let distribution = pointSet.value;
-      if (distribution.tag === "Continuous") {
-        return Ok({
-          continuous: shapePoints(distribution.value),
-          discrete: [],
-        });
-      } else if (distribution.tag === "Discrete") {
-        return Ok({
-          discrete: shapePoints(distribution.value),
-          continuous: [],
-        });
-      } else {
-        return Ok({
-          discrete: shapePoints(distribution.value.discrete),
-          continuous: shapePoints(distribution.value.continuous),
-        });
-      }
-    } else {
-      return pointSet;
-    }
-  }
-
-  toPointSet(): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_toPointSet({ env: this.env }, this.t)
-    );
-  }
-
-  toSampleSet(n: number): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_toSampleSet({ env: this.env }, this.t, n)
-    );
-  }
-
-  truncate(
-    left: number,
-    right: number
-  ): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_truncate({ env: this.env }, this.t, left, right)
-    );
-  }
-
-  inspect(): result<Distribution, distributionError> {
-    return this.mapResultDist(Constructors_inspect({ env: this.env }, this.t));
-  }
-
-  toString(): string {
-    let result = Constructors_toString({ env: this.env }, this.t);
-    if (result.tag === "Ok") {
-      return result.value;
-    } else {
-      return distributionErrorToString(result.value);
-    }
-  }
-
-  toSparkline(n: number): result<string, distributionError> {
-    return Constructors_toSparkline({ env: this.env }, this.t, n);
-  }
-
-  algebraicAdd(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicAdd({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  algebraicMultiply(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicMultiply({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  algebraicDivide(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicDivide({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  algebraicSubtract(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicSubtract({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  algebraicLogarithm(
-    d2: Distribution
-  ): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicLogarithm({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  algebraicPower(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_algebraicPower({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwiseAdd(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwiseAdd({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwiseMultiply(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwiseMultiply({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwiseDivide(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwiseDivide({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwiseSubtract(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwiseSubtract({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwiseLogarithm(
-    d2: Distribution
-  ): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwiseLogarithm({ env: this.env }, this.t, d2.t)
-    );
-  }
-
-  pointwisePower(d2: Distribution): result<Distribution, distributionError> {
-    return this.mapResultDist(
-      Constructors_pointwisePower({ env: this.env }, this.t, d2.t)
-    );
-  }
-}

packages/squiggle-lang/src/js/rescript_interop.ts

@@ -0,0 +1,155 @@
+import * as _ from "lodash";
+import {
+  mixedShape,
+  sampleSetDist,
+  genericDist,
+  samplingParams,
+  symbolicDist,
+  discreteShape,
+  continuousShape,
+} from "../rescript/TypescriptInterface.gen";
+import { Distribution } from "./distribution";
+import { tagged, tag } from "./types";
+// This file is here to compensate for genType not fully recursively converting types
+
+// Raw rescript types.
+export type rescriptExport =
+  | {
+      TAG: 0; // EvArray
+      _0: rescriptExport[];
+    }
+  | {
+      TAG: 1; // EvBool
+      _0: boolean;
+    }
+  | {
+      TAG: 2; // EvCall
+      _0: string;
+    }
+  | {
+      TAG: 3; // EvDistribution
+      _0: rescriptDist;
+    }
+  | {
+      TAG: 4; // EvNumber
+      _0: number;
+    }
+  | {
+      TAG: 5; // EvRecord
+      _0: { [key: string]: rescriptExport };
+    }
+  | {
+      TAG: 6; // EvString
+      _0: string;
+    }
+  | {
+      TAG: 7; // EvSymbol
+      _0: string;
+    };
+
+type rescriptDist =
+  | { TAG: 0; _0: rescriptPointSetDist }
+  | { TAG: 1; _0: sampleSetDist }
+  | { TAG: 2; _0: symbolicDist };
+
+type rescriptPointSetDist =
+  | {
+      TAG: 0; // Mixed
+      _0: mixedShape;
+    }
+  | {
+      TAG: 1; // Discrete
+      _0: discreteShape;
+    }
+  | {
+      TAG: 2; // ContinuousShape
+      _0: continuousShape;
+    };
+
+export type squiggleExpression =
+  | tagged<"symbol", string>
+  | tagged<"string", string>
+  | tagged<"call", string>
+  | tagged<"array", squiggleExpression[]>
+  | tagged<"boolean", boolean>
+  | tagged<"distribution", Distribution>
+  | tagged<"number", number>
+  | tagged<"record", { [key: string]: squiggleExpression }>;
+
+export function convertRawToTypescript(
+  result: rescriptExport,
+  sampEnv: samplingParams
+): squiggleExpression {
+  switch (result.TAG) {
+    case 0: // EvArray
+      return tag(
+        "array",
+        result._0.map((x) => convertRawToTypescript(x, sampEnv))
+      );
+    case 1: // EvBool
+      return tag("boolean", result._0);
+    case 2: // EvCall
+      return tag("call", result._0);
+    case 3: // EvDistribution
+      return tag(
+        "distribution",
+        new Distribution(
+          convertRawDistributionToGenericDist(result._0),
+          sampEnv
+        )
+      );
+    case 4: // EvNumber
+      return tag("number", result._0);
+    case 5: // EvRecord
+      return tag(
+        "record",
+        _.mapValues(result._0, (x) => convertRawToTypescript(x, sampEnv))
+      );
+    case 6: // EvString
+      return tag("string", result._0);
+    case 7: // EvSymbol
+      return tag("symbol", result._0);
+  }
+}
+
+function convertRawDistributionToGenericDist(
+  result: rescriptDist
+): genericDist {
+  switch (result.TAG) {
+    case 0: // Point Set Dist
+      switch (result._0.TAG) {
+        case 0: // Mixed
+          return tag("PointSet", tag("Mixed", result._0._0));
+        case 1: // Discrete
+          return tag("PointSet", tag("Discrete", result._0._0));
+        case 2: // Continuous
+          return tag("PointSet", tag("Continuous", result._0._0));
+      }
+    case 1: // Sample Set Dist
+      return tag("SampleSet", result._0);
+    case 2: // Symbolic Dist
+      return tag("Symbolic", result._0);
+  }
+}
+
+export type jsValue =
+  | string
+  | number
+  | jsValue[]
+  | { [key: string]: jsValue }
+  | boolean;
+
+export function jsValueToBinding(value: jsValue): rescriptExport {
+  if (typeof value === "boolean") {
+    return { TAG: 1, _0: value as boolean };
+  } else if (typeof value === "string") {
+    return { TAG: 6, _0: value as string };
+  } else if (typeof value === "number") {
+    return { TAG: 4, _0: value as number };
+  } else if (Array.isArray(value)) {
+    return { TAG: 0, _0: value.map(jsValueToBinding) };
+  } else {
+    // Record
+    return { TAG: 5, _0: _.mapValues(value, jsValueToBinding) };
+  }
+}

packages/squiggle-lang/src/js/types.ts

@@ -0,0 +1,30 @@
+export type result<a, b> =
+  | {
+      tag: "Ok";
+      value: a;
+    }
+  | {
+      tag: "Error";
+      value: b;
+    };
+
+export function resultMap<a, b, c>(
+  r: result<a, c>,
+  mapFn: (x: a) => b
+): result<b, c> {
+  if (r.tag === "Ok") {
+    return { tag: "Ok", value: mapFn(r.value) };
+  } else {
+    return r;
+  }
+}
+
+export function Ok<a, b>(x: a): result<a, b> {
+  return { tag: "Ok", value: x };
+}
+
+export type tagged<a, b> = { tag: a; value: b };
+
+export function tag<a, b>(x: a, y: b): tagged<a, b> {
+  return { tag: x, value: y };
+}

packages/squiggle-lang/src/rescript/Distributions/DistributionOperation/DistributionOperation.res

@@ -154,6 +154,16 @@ let rec run = (~env, functionCallInfo: functionCallInfo): outputType => {
       ->GenericDist.toPointSet(~xyPointLength, ~sampleCount, ())
       ->E.R2.fmap(r => Dist(PointSet(r)))
       ->OutputLocal.fromResult
+    | ToDist(Scale(#Logarithm, f)) =>
+      dist
+      ->GenericDist.pointwiseCombinationFloat(~toPointSetFn, ~algebraicCombination=#Logarithm, ~f)
+      ->E.R2.fmap(r => Dist(r))
+      ->OutputLocal.fromResult
+    | ToDist(Scale(#Power, f)) =>
+      dist
+      ->GenericDist.pointwiseCombinationFloat(~toPointSetFn, ~algebraicCombination=#Power, ~f)
+      ->E.R2.fmap(r => Dist(r))
+      ->OutputLocal.fromResult
     | ToDistCombination(Algebraic(_), _, #Float(_)) => GenDistError(NotYetImplemented)
     | ToDistCombination(Algebraic(strategy), arithmeticOperation, #Dist(t2)) =>
       dist
@@ -189,6 +199,12 @@ let rec run = (~env, functionCallInfo: functionCallInfo): outputType => {
     ->GenericDist.mixture(~scaleMultiplyFn=scaleMultiply, ~pointwiseAddFn=pointwiseAdd)
     ->E.R2.fmap(r => Dist(r))
     ->OutputLocal.fromResult
+  | FromSamples(xs) =>
+    xs
+    ->SampleSetDist.make
+    ->E.R2.errMap(x => DistributionTypes.SampleSetError(x))
+    ->E.R2.fmap(x => x->DistributionTypes.SampleSet->Dist)
+    ->OutputLocal.fromResult
   }
 }
 
@@ -229,6 +245,7 @@ module Constructors = {
   let isNormalized = (~env, dist) => C.isNormalized(dist)->run(~env)->toBoolR
   let toPointSet = (~env, dist) => C.toPointSet(dist)->run(~env)->toDistR
   let toSampleSet = (~env, dist, n) => C.toSampleSet(dist, n)->run(~env)->toDistR
+  let fromSamples = (~env, xs) => C.fromSamples(xs)->run(~env)->toDistR
   let truncate = (~env, dist, leftCutoff, rightCutoff) =>
     C.truncate(dist, leftCutoff, rightCutoff)->run(~env)->toDistR
   let inspect = (~env, dist) => C.inspect(dist)->run(~env)->toDistR

packages/squiggle-lang/src/rescript/Distributions/DistributionOperation/DistributionOperation.resi

@@ -61,6 +61,8 @@ module Constructors: {
   @genType
   let toSampleSet: (~env: env, genericDist, int) => result<genericDist, error>
   @genType
+  let fromSamples: (~env: env, SampleSetDist.t) => result<genericDist, error>
+  @genType
   let truncate: (~env: env, genericDist, option<float>, option<float>) => result<genericDist, error>
   @genType
   let inspect: (~env: env, genericDist) => result<genericDist, error>

packages/squiggle-lang/src/rescript/Distributions/DistributionTypes.res

@@ -11,7 +11,7 @@ type error =
   | NotYetImplemented
   | Unreachable
   | DistributionVerticalShiftIsInvalid
-  | TooFewSamples
+  | SampleSetError(SampleSetDist.sampleSetError)
   | ArgumentError(string)
   | OperationError(Operation.Error.t)
   | PointSetConversionError(SampleSetDist.pointsetConversionError)
@@ -35,7 +35,8 @@ module Error = {
     | DistributionVerticalShiftIsInvalid => "Distribution Vertical Shift is Invalid"
     | ArgumentError(s) => `Argument Error ${s}`
     | LogarithmOfDistributionError(s) => `Logarithm of input error: ${s}`
-    | TooFewSamples => "Too Few Samples"
+    | SampleSetError(TooFewSamples) => "Too Few Samples"
+    | SampleSetError(NonNumericInput(err)) => `Found a non-number in input: ${err}`
     | OperationError(err) => Operation.Error.toString(err)
     | PointSetConversionError(err) => SampleSetDist.pointsetConversionErrorToString(err)
     | SparklineError(err) => PointSetTypes.sparklineErrorToString(err)
@@ -47,10 +48,7 @@ module Error = {
   let resultStringToResultError: result<'a, string> => result<'a, error> = n =>
     n->E.R2.errMap(r => r->fromString)
 
-  let sampleErrorToDistErr = (err: SampleSetDist.sampleSetError): error =>
+  let sampleErrorToDistErr = (err: SampleSetDist.sampleSetError): error => SampleSetError(err)
-    switch err {
-    | TooFewSamples => TooFewSamples
-    }
 }
 
 @genType
@@ -68,12 +66,19 @@ module DistributionOperation = {
     | #Pdf(float)
     | #Mean
     | #Sample
+    | #IntegralSum
+  ]
+
+  type toScaleFn = [
+    | #Power
+    | #Logarithm
   ]
 
   type toDist =
     | Normalize
     | ToPointSet
     | ToSampleSet(int)
+    | Scale(toScaleFn, float)
     | Truncate(option<float>, option<float>)
     | Inspect
 
@@ -99,6 +104,7 @@ module DistributionOperation = {
   type genericFunctionCallInfo =
     | FromDist(fromDist, genericDist)
     | FromFloat(fromDist, float)
+    | FromSamples(array<float>)
     | Mixture(array<(genericDist, float)>)
 
   let distCallToString = (distFunction: fromDist): string =>
@@ -113,6 +119,8 @@ module DistributionOperation = {
     | ToDist(ToSampleSet(r)) => `toSampleSet(${E.I.toString(r)})`
     | ToDist(Truncate(_, _)) => `truncate`
     | ToDist(Inspect) => `inspect`
+    | ToDist(Scale(#Power, r)) => `scalePower(${E.Float.toFixed(r)})`
+    | ToDist(Scale(#Logarithm, r)) => `scaleLog(${E.Float.toFixed(r)})`
     | ToString(ToString) => `toString`
     | ToString(ToSparkline(n)) => `toSparkline(${E.I.toString(n)})`
     | ToBool(IsNormalized) => `isNormalized`
@@ -124,6 +132,7 @@ module DistributionOperation = {
     switch d {
     | FromDist(f, _) | FromFloat(f, _) => distCallToString(f)
     | Mixture(_) => `mixture`
+    | FromSamples(_) => `fromSamples`
     }
 }
 module Constructors = {
@@ -140,8 +149,11 @@ module Constructors = {
     let isNormalized = (dist): t => FromDist(ToBool(IsNormalized), dist)
     let toPointSet = (dist): t => FromDist(ToDist(ToPointSet), dist)
     let toSampleSet = (dist, r): t => FromDist(ToDist(ToSampleSet(r)), dist)
+    let fromSamples = (xs): t => FromSamples(xs)
     let truncate = (dist, left, right): t => FromDist(ToDist(Truncate(left, right)), dist)
     let inspect = (dist): t => FromDist(ToDist(Inspect), dist)
+    let scalePower = (dist, n): t => FromDist(ToDist(Scale(#Power, n)), dist)
+    let scaleLogarithm = (dist, n): t => FromDist(ToDist(Scale(#Logarithm, n)), dist)
     let toString = (dist): t => FromDist(ToString(ToString), dist)
     let toSparkline = (dist, n): t => FromDist(ToString(ToSparkline(n)), dist)
     let algebraicAdd = (dist1, dist2: genericDist): t => FromDist(

packages/squiggle-lang/src/rescript/Distributions/GenericDist/GenericDist.res

@@ -62,26 +62,31 @@ let isNormalized = (t: t): bool => Js.Math.abs_float(integralEndY(t) -. 1.0) < 1
 let toFloatOperation = (
   t,
   ~toPointSetFn: toPointSetFn,
-  ~distToFloatOperation: Operation.distToFloatOperation,
+  ~distToFloatOperation: DistributionTypes.DistributionOperation.toFloat,
 ) => {
-  let trySymbolicSolution = switch (t: t) {
+  switch distToFloatOperation {
-  | Symbolic(r) => SymbolicDist.T.operate(distToFloatOperation, r)->E.R.toOption
+  | #IntegralSum => Ok(integralEndY(t))
-  | _ => None
+  | (#Pdf(_) | #Cdf(_) | #Inv(_) | #Mean | #Sample) as op => {
-  }
+      let trySymbolicSolution = switch (t: t) {
+      | Symbolic(r) => SymbolicDist.T.operate(op, r)->E.R.toOption
+      | _ => None
+      }
 
-  let trySampleSetSolution = switch ((t: t), distToFloatOperation) {
+      let trySampleSetSolution = switch ((t: t), distToFloatOperation) {
-  | (SampleSet(sampleSet), #Mean) => SampleSetDist.mean(sampleSet)->Some
+      | (SampleSet(sampleSet), #Mean) => SampleSetDist.mean(sampleSet)->Some
-  | (SampleSet(sampleSet), #Sample) => SampleSetDist.sample(sampleSet)->Some
+      | (SampleSet(sampleSet), #Sample) => SampleSetDist.sample(sampleSet)->Some
-  | (SampleSet(sampleSet), #Inv(r)) => SampleSetDist.percentile(sampleSet, r)->Some
+      | (SampleSet(sampleSet), #Inv(r)) => SampleSetDist.percentile(sampleSet, r)->Some
-  | _ => None
+      | _ => None
-  }
+      }
 
-  switch trySymbolicSolution {
+      switch trySymbolicSolution {
-  | Some(r) => Ok(r)
+      | Some(r) => Ok(r)
-  | None =>
+      | None =>
-    switch trySampleSetSolution {
+        switch trySampleSetSolution {
-    | Some(r) => Ok(r)
+        | Some(r) => Ok(r)
-    | None => toPointSetFn(t)->E.R2.fmap(PointSetDist.operate(distToFloatOperation))
+        | None => toPointSetFn(t)->E.R2.fmap(PointSetDist.operate(op))
+        }
+      }
     }
   }
 }

packages/squiggle-lang/src/rescript/Distributions/GenericDist/GenericDist.resi

@@ -20,7 +20,7 @@ let isNormalized: t => bool
 let toFloatOperation: (
   t,
   ~toPointSetFn: toPointSetFn,
-  ~distToFloatOperation: Operation.distToFloatOperation,
+  ~distToFloatOperation: DistributionTypes.DistributionOperation.toFloat,
 ) => result<float, error>
 
 @genType

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Continuous.res

@@ -156,8 +156,10 @@ let reduce = (
   ~integralSumCachesFn: (float, float) => option<float>=(_, _) => None,
   fn: (float, float) => result<float, 'e>,
   continuousShapes,
-): result<t, 'e> =>
+): result<t, 'e> => {
-  continuousShapes |> E.A.R.foldM(combinePointwise(~integralSumCachesFn, fn), empty)
+  let merge = combinePointwise(~integralSumCachesFn, fn)
+  continuousShapes |> E.A.R.foldM(merge, empty)
+}
 
 let mapYResult = (
   ~integralSumCacheFn=_ => None,

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Discrete.res

@@ -34,9 +34,10 @@ let lastY = (t: t) => t |> getShape |> XYShape.T.lastY
 
 let combinePointwise = (
   ~integralSumCachesFn=(_, _) => None,
+  fn,
   t1: PointSetTypes.discreteShape,
   t2: PointSetTypes.discreteShape,
-): PointSetTypes.discreteShape => {
+): result<PointSetTypes.discreteShape, 'e> => {
   let combinedIntegralSum = Common.combineIntegralSums(
     integralSumCachesFn,
     t1.integralSumCache,
@@ -49,16 +50,22 @@ let combinePointwise = (
   make(
     ~integralSumCache=combinedIntegralSum,
     XYShape.PointwiseCombination.combine(
-      (a, b) => Ok(a +. b),
+      fn,
       XYShape.XtoY.discreteInterpolator,
       t1.xyShape,
       t2.xyShape,
     )->E.R.toExn("Addition operation should never fail", _),
-  )
+  )->Ok
 }
 
-let reduce = (~integralSumCachesFn=(_, _) => None, discreteShapes): PointSetTypes.discreteShape =>
+let reduce = (
-  discreteShapes |> E.A.fold_left(combinePointwise(~integralSumCachesFn), empty)
+  ~integralSumCachesFn=(_, _) => None,
+  fn: (float, float) => result<float, 'e>,
+  discreteShapes: array<PointSetTypes.discreteShape>,
+): result<t, 'e> => {
+  let merge = combinePointwise(~integralSumCachesFn, fn)
+  discreteShapes |> E.A.R.foldM(merge, empty)
+}
 
 let updateIntegralSumCache = (integralSumCache, t: t): t => {
   ...t,

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/Mixed.res

@@ -316,7 +316,10 @@ let combinePointwise = (
   t2: t,
 ): result<t, 'e> => {
   let reducedDiscrete =
-    [t1, t2] |> E.A.fmap(toDiscrete) |> E.A.O.concatSomes |> Discrete.reduce(~integralSumCachesFn)
+    [t1, t2]
+    |> E.A.fmap(toDiscrete)
+    |> E.A.O.concatSomes
+    |> Discrete.reduce(~integralSumCachesFn, fn)
 
   let reducedContinuous =
     [t1, t2]
@@ -335,11 +338,11 @@ let combinePointwise = (
     t1.integralCache,
     t2.integralCache,
   )
-  reducedContinuous->E.R2.fmap(continuous =>
+  E.R.merge(reducedContinuous, reducedDiscrete)->E.R2.fmap(((continuous, discrete)) =>
     make(
       ~integralSumCache=combinedIntegralSum,
       ~integralCache=combinedIntegral,
-      ~discrete=reducedDiscrete,
+      ~discrete,
       ~continuous,
     )
   )

packages/squiggle-lang/src/rescript/Distributions/PointSetDist/PointSetDist.res

@@ -84,7 +84,12 @@ let combinePointwise = (
       m2,
     )->E.R2.fmap(x => PointSetTypes.Continuous(x))
   | (Discrete(m1), Discrete(m2)) =>
-    Ok(PointSetTypes.Discrete(Discrete.combinePointwise(~integralSumCachesFn, m1, m2)))
+    Discrete.combinePointwise(
+      ~integralSumCachesFn,
+      fn,
+      m1,
+      m2,
+    )->E.R2.fmap(x => PointSetTypes.Discrete(x))
   | (m1, m2) =>
     Mixed.combinePointwise(
       ~integralSumCachesFn,

packages/squiggle-lang/src/rescript/Distributions/SampleSetDist/SampleSetDist.res

@@ -1,11 +1,12 @@
 @genType
 module Error = {
   @genType
-  type sampleSetError = TooFewSamples
+  type sampleSetError = TooFewSamples | NonNumericInput(string)
 
   let sampleSetErrorToString = (err: sampleSetError): string =>
     switch err {
     | TooFewSamples => "Too few samples when constructing sample set"
+    | NonNumericInput(err) => `Found a non-number in input: ${err}`
     }
 
   @genType

packages/squiggle-lang/src/rescript/Distributions/SampleSetDist/SampleSetDist_Bandwidth.res

@@ -1,27 +1,30 @@
 //The math here was taken from https://github.com/jasondavies/science.js/blob/master/src/stats/SampleSetDist_Bandwidth.js
-
+let {iqr_percentile, nrd0_lo_denominator, one, nrd0_coef, nrd_coef, nrd_fractionalPower} = module(
+  MagicNumbers.SampleSetBandwidth
+)
 let len = x => E.A.length(x) |> float_of_int
 
-let iqr = x => Jstat.percentile(x, 0.75, true) -. Jstat.percentile(x, 0.25, true)
+let iqr = x =>
+  Jstat.percentile(x, iqr_percentile, true) -. Jstat.percentile(x, 1.0 -. iqr_percentile, true)
 
 // Silverman, B. W. (1986) Density Estimation. London: Chapman and Hall.
 let nrd0 = x => {
   let hi = Js_math.sqrt(Jstat.variance(x))
-  let lo = Js_math.minMany_float([hi, iqr(x) /. 1.34])
+  let lo = Js_math.minMany_float([hi, iqr(x) /. nrd0_lo_denominator])
   let e = Js_math.abs_float(x[1])
   let lo' = switch (lo, hi, e) {
   | (lo, _, _) if !Js.Float.isNaN(lo) => lo
   | (_, hi, _) if !Js.Float.isNaN(hi) => hi
   | (_, _, e) if !Js.Float.isNaN(e) => e
-  | _ => 1.0
+  | _ => one
   }
-  0.9 *. lo' *. Js.Math.pow_float(~base=len(x), ~exp=-0.2)
+  nrd0_coef *. lo' *. Js.Math.pow_float(~base=len(x), ~exp=nrd_fractionalPower)
 }
 
 // Scott, D. W. (1992) Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley.
 let nrd = x => {
-  let h = iqr(x) /. 1.34
+  let h = iqr(x) /. nrd0_lo_denominator
-  1.06 *.
+  nrd_coef *.
   Js.Math.min_float(Js.Math.sqrt(Jstat.variance(x)), h) *.
-  Js.Math.pow_float(~base=len(x), ~exp=-1.0 /. 5.0)
+  Js.Math.pow_float(~base=len(x), ~exp=nrd_fractionalPower)
 }

packages/squiggle-lang/src/rescript/MagicNumbers.res

@@ -35,3 +35,16 @@ module ToPointSet = {
  */
   let minDiscreteToKeep = samples => max(20, E.A.length(samples) / 50)
 }
+
+module SampleSetBandwidth = {
+  // Silverman, B. W. (1986) Density Estimation. London: Chapman and Hall.
+  // Scott, D. W. (1992) Multivariate Density Estimation: Theory, Practice, and Visualization. Wiley.
+  let iqr_percentile = 0.75
+  let iqr_percentile_complement = 1.0 -. iqr_percentile
+  let nrd0_lo_denominator = 1.34
+  let one = 1.0
+  let nrd0_coef = 0.9
+
+  let nrd_coef = 1.06
+  let nrd_fractionalPower = -0.2
+}

packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res

@@ -130,6 +130,7 @@ module Helpers = {
         | Error(err) => GenDistError(ArgumentError(err))
         }
       }
+    | Some(EvNumber(_))
     | Some(EvDistribution(_)) =>
       switch parseDistributionArray(args) {
       | Ok(distributions) => mixtureWithDefaultWeights(distributions)
@@ -194,6 +195,7 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall, _environment)
     ->SymbolicConstructors.symbolicResultToOutput
   | ("sample", [EvDistribution(dist)]) => Helpers.toFloatFn(#Sample, dist)
   | ("mean", [EvDistribution(dist)]) => Helpers.toFloatFn(#Mean, dist)
+  | ("integralSum", [EvDistribution(dist)]) => Helpers.toFloatFn(#IntegralSum, dist)
   | ("toString", [EvDistribution(dist)]) => Helpers.toStringFn(ToString, dist)
   | ("toSparkline", [EvDistribution(dist)]) => Helpers.toStringFn(ToSparkline(20), dist)
   | ("toSparkline", [EvDistribution(dist), EvNumber(n)]) =>
@@ -209,6 +211,15 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall, _environment)
   | ("normalize", [EvDistribution(dist)]) => Helpers.toDistFn(Normalize, dist)
   | ("isNormalized", [EvDistribution(dist)]) => Helpers.toBoolFn(IsNormalized, dist)
   | ("toPointSet", [EvDistribution(dist)]) => Helpers.toDistFn(ToPointSet, dist)
+  | ("scaleLog", [EvDistribution(dist)]) =>
+    Helpers.toDistFn(Scale(#Logarithm, MagicNumbers.Math.e), dist)
+  | ("scaleLog10", [EvDistribution(dist)]) => Helpers.toDistFn(Scale(#Logarithm, 10.0), dist)
+  | ("scaleLog", [EvDistribution(dist), EvNumber(float)]) =>
+    Helpers.toDistFn(Scale(#Logarithm, float), dist)
+  | ("scalePow", [EvDistribution(dist), EvNumber(float)]) =>
+    Helpers.toDistFn(Scale(#Power, float), dist)
+  | ("scaleExp", [EvDistribution(dist)]) =>
+    Helpers.toDistFn(Scale(#Power, MagicNumbers.Math.e), dist)
   | ("cdf", [EvDistribution(dist), EvNumber(float)]) => Helpers.toFloatFn(#Cdf(float), dist)
   | ("pdf", [EvDistribution(dist), EvNumber(float)]) => Helpers.toFloatFn(#Pdf(float), dist)
   | ("inv", [EvDistribution(dist), EvNumber(float)]) => Helpers.toFloatFn(#Inv(float), dist)
@@ -216,6 +227,14 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall, _environment)
     Helpers.toDistFn(ToSampleSet(Belt.Int.fromFloat(float)), dist)
   | ("toSampleSet", [EvDistribution(dist)]) =>
     Helpers.toDistFn(ToSampleSet(MagicNumbers.Environment.defaultSampleCount), dist)
+  | ("fromSamples", [EvArray(inputArray)]) => {
+      let _wrapInputErrors = x => SampleSetDist.NonNumericInput(x)
+      let parsedArray = Helpers.parseNumberArray(inputArray)->E.R2.errMap(_wrapInputErrors)
+      switch parsedArray {
+      | Ok(array) => runGenericOperation(FromSamples(array))
+      | Error(e) => GenDistError(SampleSetError(e))
+      }->Some
+    }
   | ("inspect", [EvDistribution(dist)]) => Helpers.toDistFn(Inspect, dist)
   | ("truncateLeft", [EvDistribution(dist), EvNumber(float)]) =>
     Helpers.toDistFn(Truncate(Some(float), None), dist)

packages/squiggle-lang/src/rescript/Utility/E.res

@@ -289,6 +289,13 @@ module R = {
     | Ok(r) => r->Ok
     | Error(x) => x->f->Error
     }
+
+  //I'm not sure what to call this.
+  let unify = (a: result<'a, 'b>, c: 'b => 'a): 'a =>
+    switch a {
+    | Ok(x) => x
+    | Error(x) => c(x)
+    }
 }
 
 module R2 = {
@@ -307,6 +314,8 @@ module R2 = {
     | Ok(x) => x->Ok
     | Error(x) => x->f->Error
     }
+
+  let toExn = (a, b) => R.toExn(b, a)
 }
 
 let safe_fn_of_string = (fn, s: string): option<'a> =>
@@ -350,7 +359,7 @@ module JsDate = {
 /* List */
 module L = {
   module Util = {
-    let eq = (a, b) => a == b
+    let eq = \"=="
   }
   let fmap = List.map
   let get = Belt.List.get

packages/website/docs/Features/Functions.mdx

@@ -98,6 +98,19 @@ bound `a`, mode `b` and upper bound `c`.
 
 Squiggle, when the context is right, automatically casts a float to a constant distribution.
 
+## `fromSamples`
+
+The last distribution constructor takes an array of samples and constructs a sample set distribution.
+
+<SquiggleEditor initialSquiggleString="fromSamples([1,2,3,4,6,5,5,5])" />
+
+#### Validity
+
+For `fromSamples(xs)`,
+
+- `xs.length > 5`
+- Strictly every element of `xs` must be a number.
+
 ## Operating on distributions
 
 Here are the ways we combine distributions.
@@ -315,6 +328,16 @@ Or `PointSet` format
 
 <SquiggleEditor initialSquiggleString="toPointSet(normal(5, 10))" />
 
+### `toSampleSet` has two signatures
+
+Above, we saw the unary `toSampleSet`, which uses an internal hardcoded number of samples. If you'd like to provide the number of samples, it has a binary signature as well (floored)
+
+<SquiggleEditor initialSquiggleString="toSampleSet(0.1 to 1, 100.1)" />
+
+#### Validity
+
+- Second argument to `toSampleSet` must be a number.
+
 ## Normalization
 
 Some distribution operations (like horizontal shift) return an unnormalized distriibution.
@@ -333,18 +356,6 @@ We provide a predicate `isNormalized`, for when we have simple control flow
 
 - Input to `isNormalized` must be a dist
 
-## Convert any distribution to a sample set distribution
-
-`toSampleSet` has two signatures
-
-It is unary when you use an internal hardcoded number of samples
-
-<SquiggleEditor initialSquiggleString="toSampleSet(0.1 to 1)" />
-
-And binary when you provide a number of samples (floored)
-
-<SquiggleEditor initialSquiggleString="toSampleSet(0.1 to 1, 100)" />
-
 ## `inspect`
 
 You may like to debug by right clicking your browser and using the _inspect_ functionality on the webpage, and viewing the _console_ tab. Then, wrap your squiggle output with `inspect` to log an internal representation.

yarn.lock

@@ -6498,7 +6498,7 @@ coa@^2.0.2:
     chalk "^2.4.1"
     q "^1.1.2"
 
-codecov@3.8.3:
+codecov@^3.8.3:
   version "3.8.3"
   resolved "https://registry.yarnpkg.com/codecov/-/codecov-3.8.3.tgz#9c3e364b8a700c597346ae98418d09880a3fdbe7"
   integrity sha512-Y8Hw+V3HgR7V71xWH2vQ9lyS358CbGCldWlJFR0JirqoGtOoas3R3/OclRTvgUYFK29mmJICDPauVKmpqbwhOA==
@@ -8607,7 +8607,7 @@ extglob@^2.0.4:
     snapdragon "^0.8.1"
     to-regex "^3.0.1"
 
-fast-check@2.25.0, fast-check@^2.17.0:
+fast-check@^2.17.0, fast-check@^2.25.0:
   version "2.25.0"
   resolved "https://registry.yarnpkg.com/fast-check/-/fast-check-2.25.0.tgz#5146601851bf3be0953bd17eb2b7d547936c6561"
   integrity sha512-wRUT2KD2lAmT75WNIJIHECawoUUMHM0I5jrlLXGtGeqmPL8jl/EldUDjY1VCp6fDY8yflyfUeIOsOBrIbIiArg==
@@ -11627,7 +11627,7 @@ lodash.uniq@4.5.0, lodash.uniq@^4.5.0:
   resolved "https://registry.yarnpkg.com/lodash.uniq/-/lodash.uniq-4.5.0.tgz#d0225373aeb652adc1bc82e4945339a842754773"
   integrity sha1-0CJTc662Uq3BvILklFM5qEJ1R3M=
 
-lodash@4.17.21, lodash@^4.17.11, lodash@^4.17.14, lodash@^4.17.15, lodash@^4.17.19, lodash@^4.17.20, lodash@^4.17.21, lodash@^4.17.4, lodash@^4.7.0:
+lodash@^4.17.11, lodash@^4.17.14, lodash@^4.17.15, lodash@^4.17.19, lodash@^4.17.20, lodash@^4.17.21, lodash@^4.17.4, lodash@^4.7.0:
   version "4.17.21"
   resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.21.tgz#679591c564c3bffaae8454cf0b3df370c3d6911c"
   integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==
@@ -11751,7 +11751,7 @@ markdown-to-jsx@^7.1.3:
   resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.1.7.tgz#a5f22102fb12241c8cea1ca6a4050bb76b23a25d"
   integrity sha512-VI3TyyHlGkO8uFle0IOibzpO1c1iJDcXcS/zBrQrXQQvJ2tpdwVzVZ7XdKsyRz1NdRmre4dqQkMZzUHaKIG/1w==
 
-mathjs@10.5.0:
+mathjs@^10.5.0:
   version "10.5.0"
   resolved "https://registry.yarnpkg.com/mathjs/-/mathjs-10.5.0.tgz#f81d0518fe7b4b2a0b85e1125b8ecfc364fb0292"
   integrity sha512-gRnSY9psN9zgiB2QV9F4XbuX5hwjxY5Ou7qoTFWDbn2vZ3UEs+sjfK/SRg2WP30TNfZWpwlGdp8H1knFJnpFdA==
@@ -12120,7 +12120,7 @@ mkdirp@^1.0.3, mkdirp@^1.0.4:
   resolved "https://registry.yarnpkg.com/mkdirp/-/mkdirp-1.0.4.tgz#3eb5ed62622756d79a5f0e2a221dfebad75c2f7e"
   integrity sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==
 
-moduleserve@0.9.1:
+moduleserve@^0.9.1:
   version "0.9.1"
   resolved "https://registry.yarnpkg.com/moduleserve/-/moduleserve-0.9.1.tgz#11bad4337ea248d7eaf10d2c7f8649a8c3b9c1f8"
   integrity sha512-WF2BeGnM2Ko7bdICgJO+Ibu+ZD33ExJHzOzTDsCUzfZnvnFfheEIYBTWyIqSRU0tXh4UTQ1krDOCglFTJPBMow==
@@ -14439,7 +14439,7 @@ react-ace@10.0.0:
     lodash.isequal "^4.5.0"
     prop-types "^15.7.2"
 
-react-ace@10.1.0:
+react-ace@^10.1.0:
   version "10.1.0"
   resolved "https://registry.yarnpkg.com/react-ace/-/react-ace-10.1.0.tgz#d348eac2b16475231779070b6cd16768deed565f"
   integrity sha512-VkvUjZNhdYTuKOKQpMIZi7uzZZVgzCjM7cLYu6F64V0mejY8a2XTyPUIMszC6A4trbeMIHbK5fYFcT/wkP/8VA==
@@ -14693,7 +14693,7 @@ react-router@6.3.0, react-router@^6.0.0:
   dependencies:
     history "^5.2.0"
 
-react-scripts@5.0.1:
+react-scripts@^5.0.1:
   version "5.0.1"
   resolved "https://registry.yarnpkg.com/react-scripts/-/react-scripts-5.0.1.tgz#6285dbd65a8ba6e49ca8d651ce30645a6d980003"
   integrity sha512-8VAmEm/ZAwQzJ+GOMLbBsTdDKOpuZh7RPs0UymvBR2vRk4iZWCskjbFnxqjrzoIvlNNRZ3QJFx6/qDSi6zSnaQ==