Merge pull request #20 from QURIresearch/Refactor-Feb-2022

Refactor feb 2022

packages/squiggle-lang/__tests__/Samples__test.res

@@ -38,7 +38,7 @@ describe("Lodash", () =>
     let toArr = discrete |> E.FloatFloatMap.toArray
     makeTest("splitMedium", toArr |> Belt.Array.length, 10)
 
-    let (c, discrete) = SampleSet.Internals.T.splitContinuousAndDiscrete(
+    let (_c, discrete) = SampleSet.Internals.T.splitContinuousAndDiscrete(
       makeDuplicatedArray(500),
     )
     let toArr = discrete |> E.FloatFloatMap.toArray

packages/squiggle-lang/package.json

@@ -4,9 +4,9 @@
   "homepage": "https://foretold-app.github.io/estiband/",
   "private": false,
   "scripts": {
-    "build": "rescript build",
+    "build": "rescript build -with-deps",
     "parcel": "parcel build ./src/js/index.js --no-source-maps --no-autoinstall",
-    "start": "rescript build -w",
+    "start": "rescript build -w -with-deps",
     "clean": "rescript clean",
     "test": "jest",
     "test:ci": "yarn jest ./__tests__/Lodash__test.re",

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

@@ -14,7 +14,7 @@ module Inputs = {
   type inputs = {
     squiggleString: string,
     samplingInputs: SamplingInputs.t,
-    environment: ASTTypes.AST.environment,
+    environment: ASTTypes.environment,
   }
 
   let empty: SamplingInputs.t = {
@@ -27,7 +27,7 @@ module Inputs = {
   let make = (
     ~samplingInputs=empty,
     ~squiggleString,
-    ~environment=ASTTypes.AST.Environment.empty,
+    ~environment=ASTTypes.Environment.empty,
     (),
   ): inputs => {
     samplingInputs: samplingInputs,
@@ -36,12 +36,12 @@ module Inputs = {
   }
 }
 
-type \"export" = [
+type exported = [
   | #DistPlus(DistPlus.t)
   | #Float(float)
   | #Function(
-    (array<string>, ASTTypes.AST.node),
+    (array<string>, ASTTypes.node),
-    ASTTypes.AST.environment,
+    ASTTypes.environment,
   )
 ]
 
@@ -53,18 +53,18 @@ module Internals = {
   ): Inputs.inputs => {
     samplingInputs: samplingInputs,
     squiggleString: squiggleString,
-    environment: ASTTypes.AST.Environment.update(environment, str, _ => Some(
+    environment: ASTTypes.Environment.update(environment, str, _ => Some(
       node,
     )),
   }
 
   type outputs = {
-    graph: ASTTypes.AST.node,
+    graph: ASTTypes.node,
     pointSetDist: PointSetTypes.pointSetDist,
   }
   let makeOutputs = (graph, pointSetDist): outputs => {graph: graph, pointSetDist: pointSetDist}
 
-  let makeInputs = (inputs: Inputs.inputs): ASTTypes.AST.samplingInputs => {
+  let makeInputs = (inputs: Inputs.inputs): SamplingInputs.samplingInputs => {
     sampleCount: inputs.samplingInputs.sampleCount |> E.O.default(10000),
     outputXYPoints: inputs.samplingInputs.outputXYPoints |> E.O.default(10000),
     kernelWidth: inputs.samplingInputs.kernelWidth,
@@ -74,7 +74,7 @@ module Internals = {
   let runNode = (inputs, node) =>
     AST.toLeaf(makeInputs(inputs), inputs.environment, node)
 
-  let runProgram = (inputs: Inputs.inputs, p: ASTTypes.Program.program) => {
+  let runProgram = (inputs: Inputs.inputs, p: ASTTypes.program) => {
     let ins = ref(inputs)
     p
     |> E.A.fmap(x =>
@@ -97,8 +97,8 @@ module Internals = {
     DistPlus.make(~pointSetDist, ~squiggleString=Some(inputs.squiggleString), ())
 }
 
-let renderIfNeeded = (inputs: Inputs.inputs, node: ASTTypes.AST.node): result<
+let renderIfNeeded = (inputs: Inputs.inputs, node: ASTTypes.node): result<
-  ASTTypes.AST.node,
+  ASTTypes.node,
   string,
 > =>
   node |> (
@@ -121,12 +121,12 @@ let renderIfNeeded = (inputs: Inputs.inputs, node: ASTTypes.AST.node): result<
       }
   )
 
-// TODO: Consider using ASTTypes.AST.getFloat or similar in this function
+// TODO: Consider using ASTTypes.getFloat or similar in this function
 let coersionToExportedTypes = (
   inputs,
-  env: ASTTypes.AST.environment,
+  env: ASTTypes.environment,
-  node: ASTTypes.AST.node,
+  node: ASTTypes.node,
-): result<\"export", string> =>
+): result<exported, string> =>
   node
   |> renderIfNeeded(inputs)
   |> E.R.bind(_, x =>
@@ -160,7 +160,7 @@ let evaluateProgram = (inputs: Inputs.inputs) =>
 
 let evaluateFunction = (
   inputs: Inputs.inputs,
-  fn: (array<string>, ASTTypes.AST.node),
+  fn: (array<string>, ASTTypes.node),
   fnInputs,
 ) => {
   let output = AST.runFunction(

packages/squiggle-lang/src/rescript/interpreter/AST.res

@@ -1,6 +1,6 @@
-open ASTTypes.AST
+open ASTTypes
 
-let toString = ASTBasic.toString
+let toString = ASTTypes.Node.toString
 
 let envs = (samplingInputs, environment) => {
   samplingInputs: samplingInputs,
@@ -18,7 +18,7 @@ let toPointSetDist = (samplingInputs, environment, node: node) =>
   | Error(e) => Error(e)
   }
 
-let runFunction = (samplingInputs, environment, inputs, fn: PTypes.Function.t) => {
+let runFunction = (samplingInputs, environment, inputs, fn: ASTTypes.Function.t) => {
   let params = envs(samplingInputs, environment)
-  PTypes.Function.run(params, inputs, fn)
+  ASTTypes.Function.run(params, inputs, fn)
 }

packages/squiggle-lang/src/rescript/interpreter/ASTBasic.res

@@ -1,27 +0,0 @@
-open ASTTypes.AST
-// This file exists to manage a dependency cycle. It would be good to refactor later.
-
-let rec toString: node => string = x =>
-  switch x {
-  | #SymbolicDist(d) => SymbolicDist.T.toString(d)
-  | #RenderedDist(_) => "[renderedShape]"
-  | #AlgebraicCombination(op, t1, t2) => Operation.Algebraic.format(op, toString(t1), toString(t2))
-  | #PointwiseCombination(op, t1, t2) => Operation.Pointwise.format(op, toString(t1), toString(t2))
-  | #Normalize(t) => "normalize(k" ++ (toString(t) ++ ")")
-  | #Truncate(lc, rc, t) => Operation.T.truncateToString(lc, rc, toString(t))
-  | #Render(t) => toString(t)
-  | #Symbol(t) => "Symbol: " ++ t
-  | #FunctionCall(name, args) =>
-    "[Function call: (" ++
-    (name ++
-    ((args |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ ")]"))
-  | #Function(args, internal) =>
-    "[Function: (" ++ ((args |> Js.String.concatMany(_, ",")) ++ (toString(internal) ++ ")]"))
-  | #Array(a) => "[" ++ ((a |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ "]")
-  | #Hash(h) =>
-    "{" ++
-    ((h
-    |> E.A.fmap(((name, value)) => name ++ (":" ++ toString(value)))
-    |> Js.String.concatMany(_, ",")) ++
-    "}")
-  }

packages/squiggle-lang/src/rescript/interpreter/ASTEvaluator.res

@@ -1,5 +1,4 @@
 open ASTTypes
-open ASTTypes.AST
 
 type t = node
 type tResult = node => result<node, string>
@@ -25,8 +24,8 @@ module AlgebraicCombination = {
     string,
   > =>
     E.R.merge(
-      Render.ensureIsRenderedAndGetShape(evaluationParams, t1),
+      Node.ensureIsRenderedAndGetShape(evaluationParams, t1),
-      Render.ensureIsRenderedAndGetShape(evaluationParams, t2),
+      Node.ensureIsRenderedAndGetShape(evaluationParams, t2),
     ) |> E.R.fmap(((a, b)) => #RenderedDist(PointSetDist.combineAlgebraically(algebraicOp, a, b)))
 
   let nodeScore: node => int = x =>
@@ -44,19 +43,24 @@ module AlgebraicCombination = {
 
   let combine = (evaluationParams, algebraicOp, t1: node, t2: node): result<node, string> =>
     E.R.merge(
-      PTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(evaluationParams, t1),
+      ASTTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(evaluationParams, t1),
-      PTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(evaluationParams, t2),
+      ASTTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(evaluationParams, t2),
     ) |> E.R.bind(_, ((a, b)) =>
       switch choose(a, b) {
       | #Sampling =>
-        PTypes.SamplingDistribution.combineShapesUsingSampling(evaluationParams, algebraicOp, a, b)
+        ASTTypes.SamplingDistribution.combineShapesUsingSampling(
+          evaluationParams,
+          algebraicOp,
+          a,
+          b,
+        )
       | #Analytical => combinationByRendering(evaluationParams, algebraicOp, a, b)
       }
     )
 
   let operationToLeaf = (
     evaluationParams: evaluationParams,
-    algebraicOp: ASTTypes.algebraicOperation,
+    algebraicOp: Operation.algebraicOperation,
     t1: t,
     t2: t,
   ): result<node, string> =>
@@ -71,8 +75,10 @@ module AlgebraicCombination = {
 }
 
 module PointwiseCombination = {
+  //TODO: This is crude and slow. It forces everything to be pointSetDist, even though much
+  //of the process could happen on symbolic distributions without a conversion to be a pointSetDist.
   let pointwiseAdd = (evaluationParams: evaluationParams, t1: t, t2: t) =>
-    switch (Render.render(evaluationParams, t1), Render.render(evaluationParams, t2)) {
+    switch (Node.render(evaluationParams, t1), Node.render(evaluationParams, t2)) {
     | (Ok(#RenderedDist(rs1)), Ok(#RenderedDist(rs2))) =>
       Ok(
         #RenderedDist(
@@ -96,7 +102,7 @@ module PointwiseCombination = {
     switch // TODO: construct a function that we can easily sample from, to construct
     // a RenderedDist. Use the xMin and xMax of the rendered pointSetDists to tell the sampling function where to look.
     // TODO: This should work for symbolic distributions too!
-    (Render.render(evaluationParams, t1), Render.render(evaluationParams, t2)) {
+    (Node.render(evaluationParams, t1), Node.render(evaluationParams, t2)) {
     | (Ok(#RenderedDist(rs1)), Ok(#RenderedDist(rs2))) =>
       Ok(#RenderedDist(PointSetDist.combinePointwise(fn, rs1, rs2)))
     | (Error(e1), _) => Error(e1)
@@ -106,7 +112,7 @@ module PointwiseCombination = {
 
   let operationToLeaf = (
     evaluationParams: evaluationParams,
-    pointwiseOp: pointwiseOperation,
+    pointwiseOp: Operation.pointwiseOperation,
     t1: t,
     t2: t,
   ) =>
@@ -118,6 +124,12 @@ module PointwiseCombination = {
 }
 
 module Truncate = {
+  type simplificationResult = [
+    | #Solution(ASTTypes.node)
+    | #Error(string)
+    | #NoSolution
+  ]
+
   let trySimplification = (leftCutoff, rightCutoff, t): simplificationResult =>
     switch (leftCutoff, rightCutoff, t) {
     | (None, None, t) => #Solution(t)
@@ -131,8 +143,9 @@ module Truncate = {
   let truncateAsShape = (evaluationParams: evaluationParams, leftCutoff, rightCutoff, t) =>
     switch // TODO: use named args for xMin/xMax in renderToShape; if we're lucky we can at least get the tail
     // of a distribution we otherwise wouldn't get at all
-    Render.ensureIsRendered(evaluationParams, t) {
+    Node.ensureIsRendered(evaluationParams, t) {
-    | Ok(#RenderedDist(rs)) => Ok(#RenderedDist(PointSetDist.T.truncate(leftCutoff, rightCutoff, rs)))
+    | Ok(#RenderedDist(rs)) =>
+      Ok(#RenderedDist(PointSetDist.T.truncate(leftCutoff, rightCutoff, rs)))
     | Error(e) => Error(e)
     | _ => Error("Could not truncate distribution.")
     }
@@ -160,7 +173,7 @@ module Normalize = {
     switch t {
     | #RenderedDist(s) => Ok(#RenderedDist(PointSetDist.T.normalize(s)))
     | #SymbolicDist(_) => Ok(t)
-    | _ => evaluateAndRetry(evaluationParams, operationToLeaf, t)
+    | _ => ASTTypes.Node.evaluateAndRetry(evaluationParams, operationToLeaf, t)
     }
 }
 
@@ -170,13 +183,13 @@ module FunctionCall = {
 
   let _runLocalFunction = (name, evaluationParams: evaluationParams, args) =>
     Environment.getFunction(evaluationParams.environment, name) |> E.R.bind(_, ((argNames, fn)) =>
-      PTypes.Function.run(evaluationParams, args, (argNames, fn))
+      ASTTypes.Function.run(evaluationParams, args, (argNames, fn))
     )
 
   let _runWithEvaluatedInputs = (
-    evaluationParams: ASTTypes.AST.evaluationParams,
+    evaluationParams: ASTTypes.evaluationParams,
     name,
-    args: array<ASTTypes.AST.node>,
+    args: array<ASTTypes.node>,
   ) =>
     _runHardcodedFunction(name, evaluationParams, args) |> E.O.default(
       _runLocalFunction(name, evaluationParams, args),
@@ -195,9 +208,13 @@ module Render = {
     switch t {
     | #Function(_) => Error("Cannot render a function")
     | #SymbolicDist(d) =>
-      Ok(#RenderedDist(SymbolicDist.T.toPointSetDist(evaluationParams.samplingInputs.pointSetDistLength, d)))
+      Ok(
+        #RenderedDist(
+          SymbolicDist.T.toPointSetDist(evaluationParams.samplingInputs.pointSetDistLength, d),
+        ),
+      )
     | #RenderedDist(_) as t => Ok(t) // already a rendered pointSetDist, we're done here
-    | _ => evaluateAndRetry(evaluationParams, operationToLeaf, t)
+    | _ => ASTTypes.Node.evaluateAndRetry(evaluationParams, operationToLeaf, t)
     }
 }
 
@@ -207,10 +224,7 @@ module Render = {
    but most often it will produce a RenderedDist.
    This function is used mainly to turn a parse tree into a single RenderedDist
    that can then be displayed to the user. */
-let rec toLeaf = (
+let rec toLeaf = (evaluationParams: ASTTypes.evaluationParams, node: t): result<t, string> =>
-  evaluationParams: ASTTypes.AST.evaluationParams,
-  node: t,
-): result<t, string> =>
   switch node {
   // Leaf nodes just stay leaf nodes
   | #SymbolicDist(_)
@@ -236,7 +250,7 @@ let rec toLeaf = (
     |> E.A.R.firstErrorOrOpen
     |> E.R.fmap(r => #Hash(r))
   | #Symbol(r) =>
-    ASTTypes.AST.Environment.get(evaluationParams.environment, r)
+    ASTTypes.Environment.get(evaluationParams.environment, r)
     |> E.O.toResult("Undeclared variable " ++ r)
     |> E.R.bind(_, toLeaf(evaluationParams))
   | #FunctionCall(name, args) =>

packages/squiggle-lang/src/rescript/interpreter/ASTTypes.res

@@ -1,90 +1,34 @@
-type algebraicOperation = [
+type rec hash = array<(string, node)>
-  | #Add
+and node = [
-  | #Multiply
-  | #Subtract
-  | #Divide
-  | #Exponentiate
-]
-type pointwiseOperation = [#Add | #Multiply | #Exponentiate]
-type scaleOperation = [#Multiply | #Exponentiate | #Log]
-type distToFloatOperation = [
-  | #Pdf(float)
-  | #Cdf(float)
-  | #Inv(float)
-  | #Mean
-  | #Sample
-]
-
-module AST = {
-  type rec hash = array<(string, node)>
-  and node = [
   | #SymbolicDist(SymbolicDistTypes.symbolicDist)
   | #RenderedDist(PointSetTypes.pointSetDist)
   | #Symbol(string)
   | #Hash(hash)
   | #Array(array<node>)
   | #Function(array<string>, node)
-    | #AlgebraicCombination(algebraicOperation, node, node)
+  | #AlgebraicCombination(Operation.algebraicOperation, node, node)
-    | #PointwiseCombination(pointwiseOperation, node, node)
+  | #PointwiseCombination(Operation.pointwiseOperation, node, node)
   | #Normalize(node)
   | #Render(node)
   | #Truncate(option<float>, option<float>, node)
   | #FunctionCall(string, array<node>)
-  ]
+]
 
-  module Hash = {
+type statement = [
-    type t<'a> = array<(string, 'a)>
+  | #Assignment(string, node)
-    let getByName = (t: t<'a>, name) =>
+  | #Expression(node)
-      E.A.getBy(t, ((n, _)) => n == name) |> E.O.fmap(((_, r)) => r)
+]
+type program = array<statement>
 
-    let getByNameResult = (t: t<'a>, name) =>
+type environment = Belt.Map.String.t<node>
-      getByName(t, name) |> E.O.toResult(name ++ " expected and not found")
 
-    let getByNames = (hash: t<'a>, names: array<string>) =>
+type rec evaluationParams = {
-      names |> E.A.fmap(name => (name, getByName(hash, name)))
+  samplingInputs: SamplingInputs.samplingInputs,
-  }
+  environment: environment,
-  // Have nil as option
+  evaluateNode: (evaluationParams, node) => Belt.Result.t<node, string>,
-  let getFloat = (node: node) =>
+}
-    node |> (
-      x =>
-        switch x {
-        | #RenderedDist(Discrete({xyShape: {xs: [x], ys: [1.0]}})) => Some(x)
-        | #SymbolicDist(#Float(x)) => Some(x)
-        | _ => None
-        }
-    )
 
-  let toFloatIfNeeded = (node: node) =>
+module Environment = {
-    switch node |> getFloat {
-    | Some(float) => #SymbolicDist(#Float(float))
-    | None => node
-    }
-
-  type samplingInputs = {
-    sampleCount: int,
-    outputXYPoints: int,
-    kernelWidth: option<float>,
-    pointSetDistLength: int,
-  }
-
-  module SamplingInputs = {
-    type t = {
-      sampleCount: option<int>,
-      outputXYPoints: option<int>,
-      kernelWidth: option<float>,
-      pointSetDistLength: option<int>,
-    }
-    let withDefaults = (t: t): samplingInputs => {
-      sampleCount: t.sampleCount |> E.O.default(10000),
-      outputXYPoints: t.outputXYPoints |> E.O.default(10000),
-      kernelWidth: t.kernelWidth,
-      pointSetDistLength: t.pointSetDistLength |> E.O.default(10000),
-    }
-  }
-
-  type environment = Belt.Map.String.t<node>
-
-  module Environment = {
   type t = environment
   module MS = Belt.Map.String
   let fromArray = MS.fromArray
@@ -104,25 +48,53 @@ module AST = {
     | Some(#Function(argNames, fn)) => Ok((argNames, fn))
     | _ => Error("Function " ++ (str ++ " not found"))
     }
-  }
+}
 
-  type rec evaluationParams = {
+module Node = {
-    samplingInputs: samplingInputs,
+  let getFloat = (node: node) =>
-    environment: environment,
+    node |> (
-    evaluateNode: (evaluationParams, node) => Belt.Result.t<node, string>,
+      x =>
+        switch x {
+        | #RenderedDist(Discrete({xyShape: {xs: [x], ys: [1.0]}})) => Some(x)
+        | #SymbolicDist(#Float(x)) => Some(x)
+        | _ => None
         }
+    )
 
-  let evaluateNode = (evaluationParams: evaluationParams) =>
+  let evaluate = (evaluationParams: evaluationParams) =>
     evaluationParams.evaluateNode(evaluationParams)
 
   let evaluateAndRetry = (evaluationParams, fn, node) =>
     node |> evaluationParams.evaluateNode(evaluationParams) |> E.R.bind(_, fn(evaluationParams))
 
-  module Render = {
+  let rec toString: node => string = x =>
-    type t = node
+    switch x {
+    | #SymbolicDist(d) => SymbolicDist.T.toString(d)
+    | #RenderedDist(_) => "[renderedShape]"
+    | #AlgebraicCombination(op, t1, t2) =>
+      Operation.Algebraic.format(op, toString(t1), toString(t2))
+    | #PointwiseCombination(op, t1, t2) =>
+      Operation.Pointwise.format(op, toString(t1), toString(t2))
+    | #Normalize(t) => "normalize(k" ++ (toString(t) ++ ")")
+    | #Truncate(lc, rc, t) => Operation.Truncate.toString(lc, rc, toString(t))
+    | #Render(t) => toString(t)
+    | #Symbol(t) => "Symbol: " ++ t
+    | #FunctionCall(name, args) =>
+      "[Function call: (" ++
+      (name ++
+      ((args |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ ")]"))
+    | #Function(args, internal) =>
+      "[Function: (" ++ ((args |> Js.String.concatMany(_, ",")) ++ (toString(internal) ++ ")]"))
+    | #Array(a) => "[" ++ ((a |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ "]")
+    | #Hash(h) =>
+      "{" ++
+      ((h
+      |> E.A.fmap(((name, value)) => name ++ (":" ++ toString(value)))
+      |> Js.String.concatMany(_, ",")) ++
+      "}")
+    }
 
-    let render = (evaluationParams: evaluationParams, r) =>
+  let render = (evaluationParams: evaluationParams, r) => #Render(r) |> evaluate(evaluationParams)
-      #Render(r) |> evaluateNode(evaluationParams)
 
   let ensureIsRendered = (params, t) =>
     switch t {
@@ -142,7 +114,7 @@ module AST = {
     | Error(e) => Error(e)
     }
 
-    let getShape = (item: node) =>
+  let toPointSetDist = (item: node) =>
     switch item {
     | #RenderedDist(r) => Some(r)
     | _ => None
@@ -155,20 +127,106 @@ module AST = {
     }
 
   let toFloat = (item: node): result<node, string> =>
-      item |> getShape |> E.O.bind(_, _toFloat) |> E.O.toResult("Not valid shape")
+    item |> toPointSetDist |> E.O.bind(_, _toFloat) |> E.O.toResult("Not valid shape")
+}
+
+module Function = {
+  type t = (array<string>, node)
+  let fromNode: node => option<t> = node =>
+    switch node {
+    | #Function(r) => Some(r)
+    | _ => None
+    }
+  let argumentNames = ((a, _): t) => a
+  let internals = ((_, b): t) => b
+  let run = (evaluationParams: evaluationParams, args: array<node>, t: t) =>
+    if E.A.length(args) == E.A.length(argumentNames(t)) {
+      let newEnvironment = Belt.Array.zip(argumentNames(t), args) |> Environment.fromArray
+      let newEvaluationParams: evaluationParams = {
+        samplingInputs: evaluationParams.samplingInputs,
+        environment: Environment.mergeKeepSecond(evaluationParams.environment, newEnvironment),
+        evaluateNode: evaluationParams.evaluateNode,
+      }
+      evaluationParams.evaluateNode(newEvaluationParams, internals(t))
+    } else {
+      Error("Wrong number of variables")
     }
 }
 
-type simplificationResult = [
+module SamplingDistribution = {
-  | #Solution(AST.node)
+  type t = [
-  | #Error(string)
+    | #SymbolicDist(SymbolicDistTypes.symbolicDist)
-  | #NoSolution
+    | #RenderedDist(PointSetTypes.pointSetDist)
-]
-
-module Program = {
-  type statement = [
-    | #Assignment(string, AST.node)
-    | #Expression(AST.node)
   ]
-  type program = array<statement>
+
+  let isSamplingDistribution: node => bool = x =>
+    switch x {
+    | #SymbolicDist(_) => true
+    | #RenderedDist(_) => true
+    | _ => false
+    }
+
+  let fromNode: node => result<t, string> = x =>
+    switch x {
+    | #SymbolicDist(n) => Ok(#SymbolicDist(n))
+    | #RenderedDist(n) => Ok(#RenderedDist(n))
+    | _ => Error("Not valid type")
+    }
+
+  let renderIfIsNotSamplingDistribution = (params, t): result<node, string> =>
+    !isSamplingDistribution(t)
+      ? switch Node.render(params, t) {
+        | Ok(r) => Ok(r)
+        | Error(e) => Error(e)
+        }
+      : Ok(t)
+
+  let map = (~renderedDistFn, ~symbolicDistFn, node: node) =>
+    node |> (
+      x =>
+        switch x {
+        | #RenderedDist(r) => Some(renderedDistFn(r))
+        | #SymbolicDist(s) => Some(symbolicDistFn(s))
+        | _ => None
+        }
+    )
+
+  let sampleN = n =>
+    map(~renderedDistFn=PointSetDist.sampleNRendered(n), ~symbolicDistFn=SymbolicDist.T.sampleN(n))
+
+  let getCombinationSamples = (n, algebraicOp, t1: node, t2: node) =>
+    switch (sampleN(n, t1), sampleN(n, t2)) {
+    | (Some(a), Some(b)) =>
+      Some(
+        Belt.Array.zip(a, b) |> E.A.fmap(((a, b)) => Operation.Algebraic.toFn(algebraicOp, a, b)),
+      )
+    | _ => None
+    }
+
+  let combineShapesUsingSampling = (
+    evaluationParams: evaluationParams,
+    algebraicOp,
+    t1: node,
+    t2: node,
+  ) => {
+    let i1 = renderIfIsNotSamplingDistribution(evaluationParams, t1)
+    let i2 = renderIfIsNotSamplingDistribution(evaluationParams, t2)
+    E.R.merge(i1, i2) |> E.R.bind(_, ((a, b)) => {
+      let samples = getCombinationSamples(
+        evaluationParams.samplingInputs.sampleCount,
+        algebraicOp,
+        a,
+        b,
+      )
+
+      let pointSetDist =
+        samples
+        |> E.O.fmap(r =>
+          SampleSet.toPointSetDist(~samplingInputs=evaluationParams.samplingInputs, ~samples=r, ())
+        )
+        |> E.O.bind(_, r => r.pointSetDist)
+        |> E.O.toResult("No response")
+      pointSetDist |> E.R.fmap(r => #Normalize(#RenderedDist(r)))
+    })
+  }
 }

packages/squiggle-lang/src/rescript/interpreter/PTypes.res

@@ -1,138 +0,0 @@
-open ASTTypes.AST
-
-module Function = {
-  type t = (array<string>, node)
-  let fromNode: node => option<t> = node =>
-    switch node {
-    | #Function(r) => Some(r)
-    | _ => None
-    }
-  let argumentNames = ((a, _): t) => a
-  let internals = ((_, b): t) => b
-  let run = (
-    evaluationParams: ASTTypes.AST.evaluationParams,
-    args: array<node>,
-    t: t,
-  ) =>
-    if E.A.length(args) == E.A.length(argumentNames(t)) {
-      let newEnvironment =
-        Belt.Array.zip(
-          argumentNames(t),
-          args,
-        ) |> ASTTypes.AST.Environment.fromArray
-      let newEvaluationParams: ASTTypes.AST.evaluationParams = {
-        samplingInputs: evaluationParams.samplingInputs,
-        environment: ASTTypes.AST.Environment.mergeKeepSecond(
-          evaluationParams.environment,
-          newEnvironment,
-        ),
-        evaluateNode: evaluationParams.evaluateNode,
-      }
-      evaluationParams.evaluateNode(newEvaluationParams, internals(t))
-    } else {
-      Error("Wrong number of variables")
-    }
-}
-
-module Primative = {
-  type t = [
-    | #SymbolicDist(SymbolicDistTypes.symbolicDist)
-    | #RenderedDist(PointSetTypes.pointSetDist)
-    | #Function(array<string>, node)
-  ]
-
-  let isPrimative: node => bool = x =>
-    switch x {
-    | #SymbolicDist(_)
-    | #RenderedDist(_)
-    | #Function(_) => true
-    | _ => false
-    }
-
-  let fromNode: node => option<t> = x =>
-    switch x {
-    | #SymbolicDist(_) as n
-    | #RenderedDist(_) as n
-    | #Function(_) as n =>
-      Some(n)
-    | _ => None
-    }
-}
-
-module SamplingDistribution = {
-  type t = [
-    | #SymbolicDist(SymbolicDistTypes.symbolicDist)
-    | #RenderedDist(PointSetTypes.pointSetDist)
-  ]
-
-  let isSamplingDistribution: node => bool = x =>
-    switch x {
-    | #SymbolicDist(_) => true
-    | #RenderedDist(_) => true
-    | _ => false
-    }
-
-  let fromNode: node => result<t, string> = x =>
-    switch x {
-    | #SymbolicDist(n) => Ok(#SymbolicDist(n))
-    | #RenderedDist(n) => Ok(#RenderedDist(n))
-    | _ => Error("Not valid type")
-    }
-
-  let renderIfIsNotSamplingDistribution = (params, t): result<node, string> =>
-    !isSamplingDistribution(t)
-      ? switch Render.render(params, t) {
-        | Ok(r) => Ok(r)
-        | Error(e) => Error(e)
-        }
-      : Ok(t)
-
-  let map = (~renderedDistFn, ~symbolicDistFn, node: node) =>
-    node |> (
-      x =>
-        switch x {
-        | #RenderedDist(r) => Some(renderedDistFn(r))
-        | #SymbolicDist(s) => Some(symbolicDistFn(s))
-        | _ => None
-        }
-    )
-
-  let sampleN = n =>
-    map(~renderedDistFn=PointSetDist.sampleNRendered(n), ~symbolicDistFn=SymbolicDist.T.sampleN(n))
-
-  let getCombinationSamples = (n, algebraicOp, t1: node, t2: node) =>
-    switch (sampleN(n, t1), sampleN(n, t2)) {
-    | (Some(a), Some(b)) =>
-      Some(
-        Belt.Array.zip(a, b) |> E.A.fmap(((a, b)) => Operation.Algebraic.toFn(algebraicOp, a, b)),
-      )
-    | _ => None
-    }
-
-  let combineShapesUsingSampling = (
-    evaluationParams: evaluationParams,
-    algebraicOp,
-    t1: node,
-    t2: node,
-  ) => {
-    let i1 = renderIfIsNotSamplingDistribution(evaluationParams, t1)
-    let i2 = renderIfIsNotSamplingDistribution(evaluationParams, t2)
-    E.R.merge(i1, i2) |> E.R.bind(_, ((a, b)) => {
-      let samples = getCombinationSamples(
-        evaluationParams.samplingInputs.sampleCount,
-        algebraicOp,
-        a,
-        b,
-      )
-
-      //  todo: This bottom part should probably be somewhere else.
-      // todo: REFACTOR: I'm not sure about the SampleSet line.
-      let pointSetDist =
-        samples
-        |> E.O.fmap(r => SampleSet.toPointSetDist(~samplingInputs=evaluationParams.samplingInputs, ~samples=r, ()))
-        |> E.O.bind(_, r => r.pointSetDist)
-        |> E.O.toResult("No response")
-      pointSetDist |> E.R.fmap(r => #Normalize(#RenderedDist(r)))
-    })
-  }
-}

packages/squiggle-lang/src/rescript/interpreter/typeSystem/HardcodedFunctions.res

@@ -84,7 +84,7 @@ let makeDist = (name, fn) =>
   )
 
 let floatFromDist = (
-  distToFloatOp: ASTTypes.distToFloatOperation,
+  distToFloatOp: Operation.distToFloatOperation,
   t: TypeSystem.samplingDist,
 ): result<node, string> =>
   switch t {
@@ -111,7 +111,7 @@ let verticalScaling = (scaleOp, rs, scaleBy) => {
 }
 
 module Multimodal = {
-  let getByNameResult = ASTTypes.AST.Hash.getByNameResult
+  let getByNameResult = Hash.getByNameResult
 
   let _paramsToDistsAndWeights = (r: array<typedValue>) =>
     switch r {

packages/squiggle-lang/src/rescript/interpreter/typeSystem/TypeSystem.res

@@ -1,5 +1,5 @@
-type node = ASTTypes.AST.node
+type node = ASTTypes.node
-let getFloat = ASTTypes.AST.getFloat
+let getFloat = ASTTypes.Node.getFloat
 
 type samplingDist = [
   | #SymbolicDist(SymbolicDistTypes.symbolicDist)
@@ -61,7 +61,7 @@ module TypedValue = {
       |> E.A.fmap(((name, t)) => fromNode(t) |> E.R.fmap(r => (name, r)))
       |> E.A.R.firstErrorOrOpen
       |> E.R.fmap(r => #Hash(r))
-    | e => Error("Wrong type: " ++ ASTBasic.toString(e))
+    | e => Error("Wrong type: " ++ ASTTypes.Node.toString(e))
     }
 
   // todo: Arrays and hashes
@@ -73,12 +73,12 @@ module TypedValue = {
       | _ => Error("Type Error: Expected float.")
       }
     | (#SamplingDistribution, _) =>
-      PTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(
+      ASTTypes.SamplingDistribution.renderIfIsNotSamplingDistribution(
         evaluationParams,
         node,
       ) |> E.R.bind(_, fromNode)
     | (#RenderedDistribution, _) =>
-      ASTTypes.AST.Render.render(evaluationParams, node) |> E.R.bind(_, fromNode)
+      ASTTypes.Node.render(evaluationParams, node) |> E.R.bind(_, fromNode)
     | (#Array(_type), #Array(b)) =>
       b
       |> E.A.fmap(fromNodeWithTypeCoercion(evaluationParams, _type))
@@ -89,7 +89,7 @@ module TypedValue = {
         named |> E.A.fmap(((name, intendedType)) => (
           name,
           intendedType,
-          ASTTypes.AST.Hash.getByName(r, name),
+          Hash.getByName(r, name),
         ))
       let typedHash =
         keyValues
@@ -172,7 +172,7 @@ module Function = {
       |> E.A.R.firstErrorOrOpen
 
     let inputsToTypedValues = (
-      evaluationParams: ASTTypes.AST.evaluationParams,
+      evaluationParams: ASTTypes.evaluationParams,
       inputNodes: inputNodes,
       t: t,
     ) =>
@@ -181,7 +181,7 @@ module Function = {
       )
 
     let run = (
-      evaluationParams: ASTTypes.AST.evaluationParams,
+      evaluationParams: ASTTypes.evaluationParams,
       inputNodes: inputNodes,
       t: t,
     ) =>

packages/squiggle-lang/src/rescript/parser/Parser.res

@@ -122,7 +122,7 @@ module MathAdtToDistDst = {
       | _ => Error("Lognormal distribution needs either mean and stdev or mu and sigma")
       }
     | _ =>
-      parseArgs() |> E.R.fmap((args: array<ASTTypes.AST.node>) =>
+      parseArgs() |> E.R.fmap((args: array<ASTTypes.node>) =>
         #FunctionCall("lognormal", args)
       )
     }
@@ -130,8 +130,8 @@ module MathAdtToDistDst = {
   //  Error("Dotwise exponentiation needs two operands")
   let operationParser = (
     name: string,
-    args: result<array<ASTTypes.AST.node>, string>,
+    args: result<array<ASTTypes.node>, string>,
-  ): result<ASTTypes.AST.node, string> => {
+  ): result<ASTTypes.node, string> => {
     let toOkAlgebraic = r => Ok(#AlgebraicCombination(r))
     let toOkPointwise = r => Ok(#PointwiseCombination(r))
     let toOkTruncate = r => Ok(#Truncate(r))
@@ -170,12 +170,12 @@ module MathAdtToDistDst = {
 
   let functionParser = (
     nodeParser: MathJsonToMathJsAdt.arg => Belt.Result.t<
-      ASTTypes.AST.node,
+      ASTTypes.node,
       string,
     >,
     name: string,
     args: array<MathJsonToMathJsAdt.arg>,
-  ): result<ASTTypes.AST.node, string> => {
+  ): result<ASTTypes.node, string> => {
     let parseArray = ags => ags |> E.A.fmap(nodeParser) |> E.A.R.firstErrorOrOpen
     let parseArgs = () => parseArray(args)
     switch name {
@@ -212,27 +212,27 @@ module MathAdtToDistDst = {
       | (Some(Error(r)), _) => Error(r)
       | (_, Error(r)) => Error(r)
       | (None, Ok(dists)) =>
-        let hash: ASTTypes.AST.node = #FunctionCall(
+        let hash: ASTTypes.node = #FunctionCall(
           "multimodal",
           [#Hash([("dists", #Array(dists)), ("weights", #Array([]))])],
         )
         Ok(hash)
       | (Some(Ok(weights)), Ok(dists)) =>
-        let hash: ASTTypes.AST.node = #FunctionCall(
+        let hash: ASTTypes.node = #FunctionCall(
           "multimodal",
           [#Hash([("dists", #Array(dists)), ("weights", #Array(weights))])],
         )
         Ok(hash)
       }
     | name =>
-      parseArgs() |> E.R.fmap((args: array<ASTTypes.AST.node>) =>
+      parseArgs() |> E.R.fmap((args: array<ASTTypes.node>) =>
         #FunctionCall(name, args)
       )
     }
   }
 
   let rec nodeParser: MathJsonToMathJsAdt.arg => result<
-    ASTTypes.AST.node,
+    ASTTypes.node,
     string,
   > = x =>
     switch x {
@@ -246,7 +246,7 @@ module MathAdtToDistDst = {
   //   let evaluatedExpression = run(expression);
   //   `Function(_ => Ok(evaluatedExpression));
   // }
-  let rec topLevel = (r): result<ASTTypes.Program.program, string> =>
+  let rec topLevel = (r): result<ASTTypes.program, string> =>
     switch r {
     | FunctionAssignment({name, args, expression}) =>
       switch nodeParser(expression) {
@@ -267,7 +267,7 @@ module MathAdtToDistDst = {
       blocks |> E.A.fmap(b => topLevel(b)) |> E.A.R.firstErrorOrOpen |> E.R.fmap(E.A.concatMany)
     }
 
-  let run = (r): result<ASTTypes.Program.program, string> =>
+  let run = (r): result<ASTTypes.program, string> =>
     r |> MathAdtCleaner.run |> topLevel
 }
 

packages/squiggle-lang/src/rescript/pointSetDist/AlgebraicShapeCombination.res

@@ -96,12 +96,10 @@ let toDiscretePointMassesFromTriangulars = (
 }
 
 let combineShapesContinuousContinuous = (
-  op: ASTTypes.algebraicOperation,
+  op: Operation.algebraicOperation,
   s1: PointSetTypes.xyShape,
   s2: PointSetTypes.xyShape,
 ): PointSetTypes.xyShape => {
-  let t1n = s1 |> XYShape.T.length
-  let t2n = s2 |> XYShape.T.length
 
   // if we add the two distributions, we should probably use normal filters.
   // if we multiply the two distributions, we should probably use lognormal filters.
@@ -194,13 +192,13 @@ let toDiscretePointMassesFromDiscrete = (s: PointSetTypes.xyShape): pointMassesW
 
   let masses: array<float> = Belt.Array.makeBy(n, i => ys[i])
   let means: array<float> = Belt.Array.makeBy(n, i => xs[i])
-  let variances: array<float> = Belt.Array.makeBy(n, i => 0.0)
+  let variances: array<float> = Belt.Array.makeBy(n, _ => 0.0)
 
   {n: n, masses: masses, means: means, variances: variances}
 }
 
 let combineShapesContinuousDiscrete = (
-  op: ASTTypes.algebraicOperation,
+  op: Operation.algebraicOperation,
   continuousShape: PointSetTypes.xyShape,
   discreteShape: PointSetTypes.xyShape,
 ): PointSetTypes.xyShape => {

packages/squiggle-lang/src/rescript/pointSetDist/Continuous.res

@@ -211,7 +211,7 @@ module T = Dist({
 /* 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 = (
-  op: ASTTypes.algebraicOperation,
+  op: Operation.algebraicOperation,
   t1: t,
   t2: PointSetTypes.discreteShape,
 ) => {
@@ -244,7 +244,7 @@ let combineAlgebraicallyWithDiscrete = (
   }
 }
 
-let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t) => {
+let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t) => {
   let s1 = t1 |> getShape
   let s2 = t2 |> getShape
   let t1n = s1 |> XYShape.T.length

packages/squiggle-lang/src/rescript/pointSetDist/Discrete.res

@@ -85,7 +85,7 @@ let updateIntegralCache = (integralCache, t: t): t => {
 
 /* This multiples all of the data points together and creates a new discrete distribution from the results.
  Data points at the same xs get added together. It may be a good idea to downsample t1 and t2 before and/or the result after. */
-let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t => {
+let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t => {
   let t1s = t1 |> getShape
   let t2s = t2 |> getShape
   let t1n = t1s |> XYShape.T.length

packages/squiggle-lang/src/rescript/pointSetDist/Mixed.res

@@ -227,7 +227,7 @@ module T = Dist({
   }
 })
 
-let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t => {
+let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t => {
   // Discrete convolution can cause a huge increase in the number of samples,
   // so we'll first downsample.
 
@@ -240,9 +240,6 @@ let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t =>
   //  sqtl > 10 ? T.downsample(int_of_float(sqtl), t) : t;
   //};
 
-  let t1d = t1
-  let t2d = t2
-
   // continuous (*) continuous => continuous, but also
   // discrete (*) continuous => continuous (and vice versa). We have to take care of all combos and then combine them:
   let ccConvResult = Continuous.combineAlgebraically(op, t1.continuous, t2.continuous)

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

@@ -1,6 +1,7 @@
 open Distributions
 
 type t = PointSetTypes.pointSetDist
+
 let mapToAll = ((fn1, fn2, fn3), t: t) =>
   switch t {
   | Mixed(m) => fn1(m)
@@ -33,7 +34,7 @@ let toMixed = mapToAll((
     ),
 ))
 
-let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t =>
+let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t =>
   switch (t1, t2) {
   | (Continuous(m1), Continuous(m2)) =>
     Continuous.combineAlgebraically(op, m1, m2) |> Continuous.T.toPointSetDist
@@ -77,9 +78,6 @@ module T = Dist({
 
   let toPointSetDist = (t: t) => t
 
-  let toContinuous = t => None
-  let toDiscrete = t => None
-
   let downsample = (i, t) =>
     fmap((Mixed.T.downsample(i), Discrete.T.downsample(i), Continuous.T.downsample(i)), t)
 
@@ -93,8 +91,6 @@ module T = Dist({
       t,
     )
 
-  let toDiscreteProbabilityMassFraction = t => 0.0
-
   let normalize = fmap((Mixed.T.normalize, Discrete.T.normalize, Continuous.T.normalize))
 
   let updateIntegralCache = (integralCache, t: t): t =>
@@ -197,7 +193,7 @@ let sampleNRendered = (n, dist) => {
   doN(n, () => sample(distWithUpdatedIntegralCache))
 }
 
-let operate = (distToFloatOp: ASTTypes.distToFloatOperation, s): float =>
+let operate = (distToFloatOp: Operation.distToFloatOperation, s): float =>
   switch distToFloatOp {
   | #Pdf(f) => pdf(f, s)
   | #Cdf(f) => pdf(f, s)

packages/squiggle-lang/src/rescript/pointSetDist/XYShape.res

@@ -159,7 +159,7 @@ module XtoY = {
           y1 *. (1. -. fraction) +. y2 *. fraction
         }
     | (#Stepwise, #UseZero) =>
-      (t: T.t, leftIndex: int, x: float) =>
+      (t: T.t, leftIndex: int, _x: float) =>
         if leftIndex < 0 {
           0.0
         } else if leftIndex >= T.length(t) - 1 {
@@ -168,7 +168,7 @@ module XtoY = {
           t.ys[leftIndex]
         }
     | (#Stepwise, #UseOutermostPoints) =>
-      (t: T.t, leftIndex: int, x: float) =>
+      (t: T.t, leftIndex: int, _x: float) =>
         if leftIndex < 0 {
           t.ys[0]
         } else if leftIndex >= T.length(t) - 1 {

packages/squiggle-lang/src/rescript/sampleSet/SampleSet.res

@@ -80,7 +80,7 @@ module Internals = {
 
 let toPointSetDist = (
   ~samples: Internals.T.t,
-  ~samplingInputs: ASTTypes.AST.samplingInputs,
+  ~samplingInputs: SamplingInputs.samplingInputs,
   (),
 ) => {
   Array.fast_sort(compare, samples)

packages/squiggle-lang/src/rescript/symbolicDist/SymbolicDist.res

@@ -272,7 +272,7 @@ module T = {
     | #Float(n) => Float.mean(n)
     }
 
-  let operate = (distToFloatOp: ASTTypes.distToFloatOperation, s) =>
+  let operate = (distToFloatOp: Operation.distToFloatOperation, s) =>
     switch distToFloatOp {
     | #Cdf(f) => Ok(cdf(f, s))
     | #Pdf(f) => Ok(pdf(f, s))
@@ -302,7 +302,7 @@ module T = {
   let tryAnalyticalSimplification = (
     d1: symbolicDist,
     d2: symbolicDist,
-    op: ASTTypes.algebraicOperation,
+    op: Operation.algebraicOperation,
   ): analyticalSimplificationResult =>
     switch (d1, d2) {
     | (#Float(v1), #Float(v2)) =>

packages/squiggle-lang/src/rescript/utility/Hash.res

@@ -0,0 +1,8 @@
+type t<'a> = array<(string, 'a)>
+let getByName = (t: t<'a>, name) => E.A.getBy(t, ((n, _)) => n == name) |> E.O.fmap(((_, r)) => r)
+
+let getByNameResult = (t: t<'a>, name) =>
+  getByName(t, name) |> E.O.toResult(name ++ " expected and not found")
+
+let getByNames = (hash: t<'a>, names: array<string>) =>
+  names |> E.A.fmap(name => (name, getByName(hash, name)))

packages/squiggle-lang/src/rescript/utility/Operation.res

@@ -1,4 +1,21 @@
-open ASTTypes
+// This file has no dependencies. It's used outside of the interpreter, but the interpreter depends on it.
+
+type algebraicOperation = [
+  | #Add
+  | #Multiply
+  | #Subtract
+  | #Divide
+  | #Exponentiate
+]
+type pointwiseOperation = [#Add | #Multiply | #Exponentiate]
+type scaleOperation = [#Multiply | #Exponentiate | #Log]
+type distToFloatOperation = [
+  | #Pdf(float)
+  | #Cdf(float)
+  | #Inv(float)
+  | #Mean
+  | #Sample
+]
 
 module Algebraic = {
   type t = algebraicOperation
@@ -80,28 +97,16 @@ module Scale = {
 
   let toIntegralCacheFn = x =>
     switch x {
-    | #Multiply => (a, b) => None // TODO: this could probably just be multiplied out (using Continuous.scaleBy)
+    | #Multiply => (_, _) => None // TODO: this could probably just be multiplied out (using Continuous.scaleBy)
     | #Exponentiate => (_, _) => None
     | #Log => (_, _) => None
     }
 }
 
-module T = {
+module Truncate = {
-  let truncateToString = (left: option<float>, right: option<float>, nodeToString) => {
+  let toString = (left: option<float>, right: option<float>, nodeToString) => {
     let left = left |> E.O.dimap(Js.Float.toString, () => "-inf")
     let right = right |> E.O.dimap(Js.Float.toString, () => "inf")
     j`truncate($nodeToString, $left, $right)`
   }
-  let toString = (nodeToString, x) =>
-    switch x {
-    | #AlgebraicCombination(op, t1, t2) => Algebraic.format(op, nodeToString(t1), nodeToString(t2))
-    | #PointwiseCombination(op, t1, t2) => Pointwise.format(op, nodeToString(t1), nodeToString(t2))
-    | #VerticalScaling(scaleOp, t, scaleBy) =>
-      Scale.format(scaleOp, nodeToString(t), nodeToString(scaleBy))
-    | #Normalize(t) => "normalize(k" ++ (nodeToString(t) ++ ")")
-    | #FloatFromDist(floatFromDistOp, t) => DistToFloat.format(floatFromDistOp, nodeToString(t))
-    | #Truncate(lc, rc, t) => truncateToString(lc, rc, nodeToString(t))
-    | #Render(t) => nodeToString(t)
-    | _ => ""
-    } // SymbolicDist and RenderedDist are handled in AST.toString.
 }

packages/squiggle-lang/src/rescript/utility/SamplingInputs.res

@@ -0,0 +1,21 @@
+type samplingInputs = {
+  sampleCount: int,
+  outputXYPoints: int,
+  kernelWidth: option<float>,
+  pointSetDistLength: int,
+}
+
+module SamplingInputs = {
+  type t = {
+    sampleCount: option<int>,
+    outputXYPoints: option<int>,
+    kernelWidth: option<float>,
+    pointSetDistLength: option<int>,
+  }
+  let withDefaults = (t: t): samplingInputs => {
+    sampleCount: t.sampleCount |> E.O.default(10000),
+    outputXYPoints: t.outputXYPoints |> E.O.default(10000),
+    kernelWidth: t.kernelWidth,
+    pointSetDistLength: t.pointSetDistLength |> E.O.default(10000),
+  }
+}