Merge pull request #210 from QURIresearch/GenericOperation-operation-functions

Turn GenericOperation into a bunch of manual functions for distributions

packages/squiggle-lang/__tests__/JS__Test.ts

@@ -1,34 +1,86 @@
-import { run } from '../src/js/index';
+import { run, GenericDist, resultMap } from "../src/js/index";
 
 let testRun = (x: string) => {
-  let result = run(x)
-  if(result.tag == 'Ok'){
-    return { tag: 'Ok', value: result.value.exports }
+  let result = run(x);
+  if (result.tag == "Ok") {
+    return { tag: "Ok", value: result.value.exports };
+  } else {
+    return result;
   }
-  else {
-    return result
-  }
-}
+};
 
 describe("Simple calculations and results", () => {
-    test("mean(normal(5,2))", () => {
-        expect(testRun("mean(normal(5,2))")).toEqual({ tag: 'Ok', value: [ { NAME: 'Float', VAL: 5  } ] })
-    })
-    test("10+10", () => {
-        let foo = testRun("10 + 10")
-        expect(foo).toEqual({ tag: 'Ok', value: [ { NAME: 'Float', VAL: 20  } ] })
-    })
-})
+  test("mean(normal(5,2))", () => {
+    expect(testRun("mean(normal(5,2))")).toEqual({
+      tag: "Ok",
+      value: [{ NAME: "Float", VAL: 5 }],
+    });
+  });
+  test("10+10", () => {
+    let foo = testRun("10 + 10");
+    expect(foo).toEqual({ tag: "Ok", value: [{ NAME: "Float", VAL: 20 }] });
+  });
+});
 describe("Log function", () => {
-    test("log(1) = 0", () => {
-      let foo = testRun("log(1)")
-      expect(foo).toEqual({ tag: 'Ok', value: [ { NAME: 'Float', VAL: 0} ]})
-    })
-})
+  test("log(1) = 0", () => {
+    let foo = testRun("log(1)");
+    expect(foo).toEqual({ tag: "Ok", value: [{ NAME: "Float", VAL: 0 }] });
+  });
+});
 
 describe("Multimodal too many weights error", () => {
-    test("mm(0,0,[0,0,0])", () => {
-      let foo = testRun("mm(0,0,[0,0,0])")
-      expect(foo).toEqual({ "tag": "Error", "value": "Function multimodal error: Too many weights provided" })
-    })
+  test("mm(0,0,[0,0,0])", () => {
+    let foo = testRun("mm(0,0,[0,0,0])");
+    expect(foo).toEqual({
+      tag: "Error",
+      value: "Function multimodal error: Too many weights provided",
+    });
+  });
+});
+
+describe("GenericDist", () => {
+
+  //It's important that sampleCount is less than 9. If it's more, than that will create randomness
+  let env = { sampleCount: 8, xyPointLength: 100 };
+  let dist = new GenericDist(
+    { tag: "SampleSet", value: [3, 4, 5, 6, 6, 7, 10, 15, 30] },
+    env
+  );
+  let dist2 = new GenericDist(
+    { tag: "SampleSet", value: [20, 22, 24, 29, 30, 35, 38, 44, 52] },
+    env
+  );
+
+  test("mean", () => {
+    expect(dist.mean().value).toBeCloseTo(3.737);
+  });
+  test("pdf", () => {
+    expect(dist.pdf(5.0).value).toBeCloseTo(0.0431);
+  });
+  test("cdf", () => {
+    expect(dist.cdf(5.0).value).toBeCloseTo(0.155);
+  });
+  test("inv", () => {
+    expect(dist.inv(0.5).value).toBeCloseTo(9.458);
+  });
+  test("toPointSet", () => {
+    expect(
+      resultMap(dist.toPointSet(), (r: GenericDist) => r.toString()).value.value
+    ).toBe("Point Set Distribution");
+  });
+  test("toSparkline", () => {
+    expect(dist.toSparkline(20).value).toBe("▁▁▃▅███▆▄▃▂▁▁▂▂▃▂▁▁▁");
+  });
+  test("algebraicAdd", () => {
+    expect(
+      resultMap(dist.algebraicAdd(dist2), (r: GenericDist) => r.toSparkline(20))
+        .value.value
+    ).toBe("▁▁▂▄▆████▇▆▄▄▃▃▃▂▁▁▁");
+  });
+  test("pointwiseAdd", () => {
+    expect(
+      resultMap(dist.pointwiseAdd(dist2), (r: GenericDist) => r.toSparkline(20))
+        .value.value
+    ).toBe("▁▂▅██▅▅▅▆▇█▆▅▃▃▂▂▁▁▁");
+  });
 });

packages/squiggle-lang/bsconfig.json

@@ -33,7 +33,7 @@
   "gentypeconfig": {
     "language": "typescript",
     "module": "commonjs",
-    "shims": {},
+    "shims": {"Js": "Js"},
     "debug": {
       "all": false,
       "basic": false

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

@@ -1,17 +1,223 @@
-import {runAll} from '../rescript/ProgramEvaluator.gen';
-import type { Inputs_SamplingInputs_t as SamplingInputs, exportEnv, exportType, exportDistribution} from '../rescript/ProgramEvaluator.gen';
-export type { SamplingInputs, exportEnv, exportDistribution }
-export type {t as DistPlus} from '../rescript/OldInterpreter/DistPlus.gen';
+import { runAll } from "../rescript/ProgramEvaluator.gen";
+import type {
+  Inputs_SamplingInputs_t as SamplingInputs,
+  exportEnv,
+  exportType,
+  exportDistribution,
+} from "../rescript/ProgramEvaluator.gen";
+export type { SamplingInputs, exportEnv, exportDistribution };
+export type { t as DistPlus } from "../rescript/OldInterpreter/DistPlus.gen";
+import {
+  genericDist,
+  env,
+  resultDist,
+  resultFloat,
+  resultString,
+} from "../rescript/TypescriptInterface.gen";
+import {
+  Constructors_mean,
+  Constructors_sample,
+  Constructors_pdf,
+  Constructors_cdf,
+  Constructors_inv,
+  Constructors_normalize,
+  Constructors_toPointSet,
+  Constructors_toSampleSet,
+  Constructors_truncate,
+  Constructors_inspect,
+  Constructors_toString,
+  Constructors_toSparkline,
+  Constructors_algebraicAdd,
+  Constructors_algebraicMultiply,
+  Constructors_algebraicDivide,
+  Constructors_algebraicSubtract,
+  Constructors_algebraicLogarithm,
+  Constructors_algebraicExponentiate,
+  Constructors_pointwiseAdd,
+  Constructors_pointwiseMultiply,
+  Constructors_pointwiseDivide,
+  Constructors_pointwiseSubtract,
+  Constructors_pointwiseLogarithm,
+  Constructors_pointwiseExponentiate,
+} from "../rescript/Distributions/DistributionOperation/DistributionOperation.gen";
 
-export let defaultSamplingInputs : SamplingInputs = {
-  sampleCount : 10000,
-  outputXYPoints : 10000,
-  pointDistLength : 1000
+export let defaultSamplingInputs: SamplingInputs = {
+  sampleCount: 10000,
+  outputXYPoints: 10000,
+  pointDistLength: 1000,
+};
+
+export function run(
+  squiggleString: string,
+  samplingInputs?: SamplingInputs,
+  environment?: exportEnv
+): { tag: "Ok"; value: exportType } | { tag: "Error"; value: string } {
+  let si: SamplingInputs = samplingInputs
+    ? samplingInputs
+    : defaultSamplingInputs;
+  let env: exportEnv = environment ? environment : [];
+  return runAll(squiggleString, si, env);
 }
 
-export function run(squiggleString : string, samplingInputs? : SamplingInputs, environment?: exportEnv) : { tag: "Ok"; value: exportType }
-  | { tag: "Error"; value: string } {
-  let si : SamplingInputs = samplingInputs ? samplingInputs : defaultSamplingInputs
-  let env : exportEnv = environment ? environment : []
-  return runAll(squiggleString, si, env)
+//This is clearly not fully typed. I think later we should use a functional library to
+// provide a better Either type and corresponding functions.
+type result =
+  | {
+      tag: "Ok";
+      value: any;
+    }
+  | {
+      tag: "Error";
+      value: any;
+    };
+
+export function resultMap(r: result, mapFn: any): result {
+  if (r.tag === "Ok") {
+    return { tag: "Ok", value: mapFn(r.value) };
+  } else {
+    return r;
+  }
+}
+
+export class GenericDist {
+  t: genericDist;
+  env: env;
+
+  constructor(t: genericDist, env: env) {
+    this.t = t;
+    this.env = env;
+    return this;
+  }
+
+  mapResultDist(r: resultDist) {
+    return resultMap(r, (v: genericDist) => new GenericDist(v, this.env));
+  }
+
+  mean() {
+    return Constructors_mean({ env: this.env }, this.t);
+  }
+
+  sample(): resultFloat {
+    return Constructors_sample({ env: this.env }, this.t);
+  }
+
+  pdf(n: number): resultFloat {
+    return Constructors_pdf({ env: this.env }, this.t, n);
+  }
+
+  cdf(n: number): resultFloat {
+    return Constructors_cdf({ env: this.env }, this.t, n);
+  }
+
+  inv(n: number): resultFloat {
+    return Constructors_inv({ env: this.env }, this.t, n);
+  }
+
+  normalize() {
+    return this.mapResultDist(
+      Constructors_normalize({ env: this.env }, this.t)
+    );
+  }
+
+  toPointSet() {
+    return this.mapResultDist(
+      Constructors_toPointSet({ env: this.env }, this.t)
+    );
+  }
+
+  toSampleSet(n: number) {
+    return this.mapResultDist(
+      Constructors_toSampleSet({ env: this.env }, this.t, n)
+    );
+  }
+
+  truncate(left: number, right: number) {
+    return this.mapResultDist(
+      Constructors_truncate({ env: this.env }, this.t, left, right)
+    );
+  }
+
+  inspect() {
+    return this.mapResultDist(Constructors_inspect({ env: this.env }, this.t));
+  }
+
+  toString(): resultString {
+    return Constructors_toString({ env: this.env }, this.t);
+  }
+
+  toSparkline(n: number): resultString {
+    return Constructors_toSparkline({ env: this.env }, this.t, n);
+  }
+
+  algebraicAdd(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicAdd({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicMultiply(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicMultiply({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicDivide(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicDivide({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicSubtract(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicSubtract({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicLogarithm(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicLogarithm({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  algebraicExponentiate(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_algebraicExponentiate({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseAdd(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseAdd({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseMultiply(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseMultiply({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseDivide(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseDivide({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseSubtract(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseSubtract({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseLogarithm(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseLogarithm({ env: this.env }, this.t, d2.t)
+    );
+  }
+
+  pointwiseExponentiate(d2: GenericDist) {
+    return this.mapResultDist(
+      Constructors_pointwiseExponentiate({ env: this.env }, this.t, d2.t)
+    );
+  }
 }

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

@@ -114,8 +114,8 @@ let rec run = (~env, functionCallInfo: functionCallInfo): outputType => {
       ->E.R2.fmap(r => Float(r))
       ->OutputLocal.fromResult
     | ToString(ToString) => dist->GenericDist.toString->String
-    | ToString(ToSparkline(buckets)) =>
-      GenericDist.toSparkline(dist, ~sampleCount, ~buckets, ())
+    | ToString(ToSparkline(bucketCount)) =>
+      GenericDist.toSparkline(dist, ~sampleCount, ~bucketCount, ())
       ->E.R2.fmap(r => String(r))
       ->OutputLocal.fromResult
     | ToDist(Inspect) => {
@@ -185,3 +185,44 @@ module Output = {
     newFnCall->E.R2.fmap(run(~env))->OutputLocal.fromResult
   }
 }
+
+// See comment above GenericDist_Types.Constructors to explain the purpose of this module.
+// I tried having another internal module called UsingDists, similar to how its done in
+// GenericDist_Types.Constructors. However, this broke GenType for me, so beware.
+module Constructors = {
+  module C = GenericDist_Types.Constructors.UsingDists
+  open OutputLocal
+  let mean = (~env, dist) => C.mean(dist)->run(~env)->toFloatR
+  let sample = (~env, dist) => C.sample(dist)->run(~env)->toFloatR
+  let cdf = (~env, dist, f) => C.cdf(dist, f)->run(~env)->toFloatR
+  let inv = (~env, dist, f) => C.inv(dist, f)->run(~env)->toFloatR
+  let pdf = (~env, dist, f) => C.pdf(dist, f)->run(~env)->toFloatR
+  let normalize = (~env, dist) => C.normalize(dist)->run(~env)->toDistR
+  let toPointSet = (~env, dist) => C.toPointSet(dist)->run(~env)->toDistR
+  let toSampleSet = (~env, dist, n) => C.toSampleSet(dist, n)->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
+  let toString = (~env, dist) => C.toString(dist)->run(~env)->toStringR
+  let toSparkline = (~env, dist, bucketCount) => C.toSparkline(dist, bucketCount)->run(~env)->toStringR
+  let algebraicAdd = (~env, dist1, dist2) => C.algebraicAdd(dist1, dist2)->run(~env)->toDistR
+  let algebraicMultiply = (~env, dist1, dist2) =>
+    C.algebraicMultiply(dist1, dist2)->run(~env)->toDistR
+  let algebraicDivide = (~env, dist1, dist2) => C.algebraicDivide(dist1, dist2)->run(~env)->toDistR
+  let algebraicSubtract = (~env, dist1, dist2) =>
+    C.algebraicSubtract(dist1, dist2)->run(~env)->toDistR
+  let algebraicLogarithm = (~env, dist1, dist2) =>
+    C.algebraicLogarithm(dist1, dist2)->run(~env)->toDistR
+  let algebraicExponentiate = (~env, dist1, dist2) =>
+    C.algebraicExponentiate(dist1, dist2)->run(~env)->toDistR
+  let pointwiseAdd = (~env, dist1, dist2) => C.pointwiseAdd(dist1, dist2)->run(~env)->toDistR
+  let pointwiseMultiply = (~env, dist1, dist2) =>
+    C.pointwiseMultiply(dist1, dist2)->run(~env)->toDistR
+  let pointwiseDivide = (~env, dist1, dist2) => C.pointwiseDivide(dist1, dist2)->run(~env)->toDistR
+  let pointwiseSubtract = (~env, dist1, dist2) =>
+    C.pointwiseSubtract(dist1, dist2)->run(~env)->toDistR
+  let pointwiseLogarithm = (~env, dist1, dist2) =>
+    C.pointwiseLogarithm(dist1, dist2)->run(~env)->toDistR
+  let pointwiseExponentiate = (~env, dist1, dist2) =>
+    C.pointwiseExponentiate(dist1, dist2)->run(~env)->toDistR
+}

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

@@ -1,19 +1,24 @@
+@genType
 type env = {
   sampleCount: int,
   xyPointLength: int,
 }
 
+open GenericDist_Types
+
+@genType
 type outputType =
-  | Dist(GenericDist_Types.genericDist)
+  | Dist(genericDist)
   | Float(float)
   | String(string)
-  | GenDistError(GenericDist_Types.error)
+  | GenDistError(error)
 
+@genType
 let run: (~env: env, GenericDist_Types.Operation.genericFunctionCallInfo) => outputType
 let runFromDist: (
   ~env: env,
   ~functionCallInfo: GenericDist_Types.Operation.fromDist,
-  GenericDist_Types.genericDist,
+  genericDist,
 ) => outputType
 let runFromFloat: (
   ~env: env,
@@ -23,12 +28,68 @@ let runFromFloat: (
 
 module Output: {
   type t = outputType
-  let toDist: t => option<GenericDist_Types.genericDist>
-  let toDistR: t => result<GenericDist_Types.genericDist, GenericDist_Types.error>
+  let toDist: t => option<genericDist>
+  let toDistR: t => result<genericDist, error>
   let toFloat: t => option<float>
-  let toFloatR: t => result<float, GenericDist_Types.error>
+  let toFloatR: t => result<float, error>
   let toString: t => option<string>
-  let toStringR: t => result<string, GenericDist_Types.error>
-  let toError: t => option<GenericDist_Types.error>
+  let toStringR: t => result<string, error>
+  let toError: t => option<error>
   let fmap: (~env: env, t, GenericDist_Types.Operation.singleParamaterFunction) => t
 }
+
+module Constructors: {
+    @genType
+    let mean: (~env: env, genericDist) => result<float, error>
+    @genType
+    let sample: (~env: env, genericDist) => result<float, error>
+    @genType
+    let cdf: (~env: env, genericDist, float) => result<float, error>
+    @genType
+    let inv: (~env: env, genericDist, float) => result<float, error>
+    @genType
+    let pdf: (~env: env, genericDist, float) => result<float, error>
+    @genType
+    let normalize: (~env: env, genericDist) => result<genericDist, error>
+    @genType
+    let toPointSet: (~env: env, genericDist) => result<genericDist, error>
+    @genType
+    let toSampleSet: (~env: env, genericDist, int) => 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>
+    @genType
+    let toString: (~env: env, genericDist) => result<string, error>
+    @genType
+    let toSparkline: (~env: env, genericDist, int) => result<string, error>
+    @genType
+    let algebraicAdd: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let algebraicMultiply: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let algebraicDivide: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let algebraicSubtract: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let algebraicLogarithm: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let algebraicExponentiate: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseAdd: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseMultiply: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseDivide: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseSubtract: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseLogarithm: (~env: env, genericDist, genericDist) => result<genericDist, error>
+    @genType
+    let pointwiseExponentiate: (~env: env, genericDist, genericDist) => result<genericDist, error>
+}

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

@@ -10,7 +10,7 @@ let sampleN = (t: t, n) =>
   switch t {
   | PointSet(r) => Ok(PointSetDist.sampleNRendered(n, r))
   | Symbolic(r) => Ok(SymbolicDist.T.sampleN(n, r))
-  | SampleSet(_) => Error(GenericDist_Types.NotYetImplemented)
+  | SampleSet(r) => Ok(SampleSet.sampleN(r, n))
   }
 
 let fromFloat = (f: float): t => Symbolic(SymbolicDist.Float.make(f))
@@ -81,10 +81,18 @@ let toPointSet = (
   }
 }
 
-let toSparkline = (t: t, ~sampleCount: int, ~buckets: int=20, unit): result<string, error> =>
+/*
+  PointSetDist.toSparkline calls "downsampleEquallyOverX", which downsamples it to n=bucketCount.
+  It first needs a pointSetDist, so we convert to a pointSetDist. In this process we want the 
+  xyPointLength to be a bit longer than the eventual toSparkline downsampling. I chose 3 
+  fairly arbitrarily.
+ */
+let toSparkline = (t: t, ~sampleCount: int, ~bucketCount: int=20, unit): result<string, error> =>
   t
-  ->toPointSet(~xSelection=#Linear, ~xyPointLength=buckets, ~sampleCount, ())
-  ->E.R.bind(r => r->PointSetDist.toSparkline->E.R2.errMap(r => Error(GenericDist_Types.Other(r))))
+  ->toPointSet(~xSelection=#Linear, ~xyPointLength=bucketCount * 3, ~sampleCount, ())
+  ->E.R.bind(r =>
+    r->PointSetDist.toSparkline(bucketCount)->E.R2.errMap(r => Error(GenericDist_Types.Other(r)))
+  )
 
 module Truncate = {
   let trySymbolicSimplification = (leftCutoff, rightCutoff, t: t): option<t> =>

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

@@ -26,7 +26,7 @@ let toPointSet: (
   ~xSelection: GenericDist_Types.Operation.pointsetXSelection=?,
   unit,
 ) => result<PointSetTypes.pointSetDist, error>
-let toSparkline: (t, ~sampleCount: int, ~buckets: int=?, unit) => result<string, error>
+let toSparkline: (t, ~sampleCount: int, ~bucketCount: int=?, unit) => result<string, error>
 
 let truncate: (
   t,

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

@@ -3,6 +3,7 @@ type genericDist =
   | SampleSet(SampleSet.t)
   | Symbolic(SymbolicDistTypes.symbolicDist)
 
+@genType
 type error =
   | NotYetImplemented
   | Unreachable
@@ -53,8 +54,8 @@ module Operation = {
   type toFloatArray = Sample(int)
 
   type toString =
-  | ToString
-  | ToSparkline(int)
+    | ToString
+    | ToSparkline(int)
 
   type fromDist =
     | ToFloat(toFloat)
@@ -66,6 +67,7 @@ module Operation = {
     | FromDist(fromDist)
     | FromFloat(fromDist)
 
+  @genType
   type genericFunctionCallInfo =
     | FromDist(fromDist, genericDist)
     | FromFloat(fromDist, float)
@@ -95,3 +97,79 @@ module Operation = {
     | Mixture(_) => `mixture`
     }
 }
+
+/*
+It can be a pain to write out the genericFunctionCallInfo. The constructors help with this. 
+This code only covers some of genericFunctionCallInfo: many arguments could be called with either a
+float or a distribution. The "UsingDists" module assumes that everything is a distribution.
+This is a tradeoff of some generality in order to get a bit more simplicity.
+I could see having a longer interface in the future, but it could be messy.
+Like, algebraicAddDistFloat vs. algebraicAddDistDist
+*/
+module Constructors = {
+  type t = Operation.genericFunctionCallInfo
+
+  module UsingDists = {
+    @genType
+    let mean = (dist): t => FromDist(ToFloat(#Mean), dist)
+    let sample = (dist): t => FromDist(ToFloat(#Sample), dist)
+    let cdf = (dist, x): t => FromDist(ToFloat(#Cdf(x)), dist)
+    let inv = (dist, x): t => FromDist(ToFloat(#Inv(x)), dist)
+    let pdf = (dist, x): t => FromDist(ToFloat(#Pdf(x)), dist)
+    let normalize = (dist): t => FromDist(ToDist(Normalize), dist)
+    let toPointSet = (dist): t => FromDist(ToDist(ToPointSet), dist)
+    let toSampleSet = (dist, r): t => FromDist(ToDist(ToSampleSet(r)), dist)
+    let truncate = (dist, left, right): t => FromDist(ToDist(Truncate(left, right)), dist)
+    let inspect = (dist): t => FromDist(ToDist(Inspect), 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(
+      ToDistCombination(Algebraic, #Add, #Dist(dist2)),
+      dist1,
+    )
+    let algebraicMultiply = (dist1, dist2): t => FromDist(
+      ToDistCombination(Algebraic, #Multiply, #Dist(dist2)),
+      dist1,
+    )
+    let algebraicDivide = (dist1, dist2): t => FromDist(
+      ToDistCombination(Algebraic, #Divide, #Dist(dist2)),
+      dist1,
+    )
+    let algebraicSubtract = (dist1, dist2): t => FromDist(
+      ToDistCombination(Algebraic, #Subtract, #Dist(dist2)),
+      dist1,
+    )
+    let algebraicLogarithm = (dist1, dist2): t => FromDist(
+      ToDistCombination(Algebraic, #Logarithm, #Dist(dist2)),
+      dist1,
+    )
+    let algebraicExponentiate = (dist1, dist2): t => FromDist(
+      ToDistCombination(Algebraic, #Exponentiate, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseAdd = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Add, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseMultiply = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Multiply, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseDivide = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Divide, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseSubtract = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Subtract, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseLogarithm = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Logarithm, #Dist(dist2)),
+      dist1,
+    )
+    let pointwiseExponentiate = (dist1, dist2): t => FromDist(
+      ToDistCombination(Pointwise, #Exponentiate, #Dist(dist2)),
+      dist1,
+    )
+  }
+}

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

@@ -249,6 +249,9 @@ module T = Dist({
     )
 })
 
+let downsampleEquallyOverX = (length, t): t =>
+  t |> shapeMap(XYShape.XsConversion.proportionEquallyOverX(length))
+
 /* This simply creates multiple copies of the continuous distribution, scaled and shifted according to
  each discrete data point, and then adds them all together. */
 let combineAlgebraicallyWithDiscrete = (

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

@@ -203,7 +203,8 @@ let operate = (distToFloatOp: Operation.distToFloatOperation, s): float =>
   | #Mean => T.mean(s)
   }
 
-let toSparkline = (t: t) =>
+let toSparkline = (t: t, bucketCount) =>
   T.toContinuous(t)
+  ->E.O2.fmap(Continuous.downsampleEquallyOverX(bucketCount))
   ->E.O2.toResult("toContinous Error: Could not convert into continuous distribution")
   ->E.R2.fmap(r => Continuous.getShape(r).ys->Sparklines.create())

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

@@ -1,3 +1,4 @@
+@genType
 type t = array<float>
 
 // TODO: Refactor to raise correct error when not enough samples
@@ -59,6 +60,7 @@ module Internals = {
           : {
               let _ = Js.Array.push(element, continuous)
             }
+
         ()
       })
       (continuous, discrete)
@@ -143,3 +145,25 @@ let toPointSetDist = (
 
   samplesParse
 }
+
+//Randomly get one sample from the distribution
+let sample = (t: t): float => {
+  let i = E.Int.random(~min=0, ~max=E.A.length(t) - 1)
+  E.A.unsafe_get(t, i)
+}
+
+/*
+If asked for a length of samples shorter or equal the length of the distribution,
+return this first n samples of this distribution.
+Else, return n random samples of the distribution.
+The former helps in cases where multiple distributions are correlated.
+However, if n > length(t), then there's no clear right answer, so we just randomly
+sample everything.
+*/
+let sampleN = (t: t, n) => {
+  if n <= E.A.length(t) {
+    E.A.slice(t, ~offset=0, ~len=n)
+  } else {
+    Belt.Array.makeBy(n, _ => sample(t))
+  }
+}

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

@@ -0,0 +1,24 @@
+/*
+This is meant as a file to contain @genType declarations as needed for Typescript.
+I would ultimately want to have all @genType declarations here, vs. other files, but
+@genType doesn't play as nicely with renaming Modules and functions as
+would be preferable. 
+
+The below few seem to work fine. In the future there's definitely more work to do here.
+*/
+
+@genType
+type env = DistributionOperation.env
+
+@genType
+type genericDist = GenericDist_Types.genericDist
+
+@genType
+type error = GenericDist_Types.error
+
+@genType
+type resultDist = result<genericDist, error>
+@genType
+type resultFloat = result<float, error>
+@genType
+type resultString = result<string, error>

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

@@ -24,6 +24,7 @@ module FloatFloatMap = {
 
 module Int = {
   let max = (i1: int, i2: int) => i1 > i2 ? i1 : i2
+  let random = (~min, ~max) => Js.Math.random_int(min, max)
 }
 /* Utils */
 module U = {
@@ -277,6 +278,7 @@ module A = {
   let fold_right = Array.fold_right
   let concatMany = Belt.Array.concatMany
   let keepMap = Belt.Array.keepMap
+  let slice = Belt.Array.slice
   let init = Array.init
   let reduce = Belt.Array.reduce
   let reducei = Belt.Array.reduceWithIndex