ExpressionTree -> AST

packages/squiggle-lang/__tests__/Distributions__Test.res

@@ -383,9 +383,9 @@ let shape: PointSetTypes.xyShape = {xs: [1., 4., 8.], ys: [8., 9., 2.]}
 //     let numSamples = 10000;
 //     open Distributions.Shape;
 //     let normal: SymbolicDistTypes.symbolicDist = `Normal({mean, stdev});
-//     let normalShape = ExpressionTree.toShape(numSamples, `SymbolicDist(normal));
+//     let normalShape = AST.toShape(numSamples, `SymbolicDist(normal));
 //     let lognormal = SymbolicDist.Lognormal.fromMeanAndStdev(mean, stdev);
-//     let lognormalShape = ExpressionTree.toShape(numSamples, `SymbolicDist(lognormal));
+//     let lognormalShape = AST.toShape(numSamples, `SymbolicDist(lognormal));
 
 //     makeTestCloseEquality(
 //       "Mean of a normal",

packages/squiggle-lang/__tests__/Hardcoded__Test.res

@@ -10,7 +10,7 @@ let makeTest = (~only=false, str, item1, item2) =>
         expect(item1) |> toEqual(item2)
       );
 
-let evalParams: ExpressionTypes.ExpressionTree.evaluationParams = {
+let evalParams: ASTTypes.AST.evaluationParams = {
   samplingInputs: {
     sampleCount: 1000,
     outputXYPoints: 10000,
@@ -25,7 +25,7 @@ let evalParams: ExpressionTypes.ExpressionTree.evaluationParams = {
       ("T", `SymbolicDist(`Float(1000000000000.0))),
     |]
     ->Belt.Map.String.fromArray,
-  evaluateNode: ExpressionTreeEvaluator.toLeaf,
+  evaluateNode: ASTEvaluator.toLeaf,
 };
 
 let shape1: PointSetTypes.xyShape = {xs: [|1., 4., 8.|], ys: [|0.2, 0.4, 0.8|]};

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

@@ -14,7 +14,7 @@ module Inputs = {
   type inputs = {
     squiggleString: string,
     samplingInputs: SamplingInputs.t,
-    environment: ExpressionTypes.ExpressionTree.environment,
+    environment: ASTTypes.AST.environment,
   }
 
   let empty: SamplingInputs.t = {
@@ -27,7 +27,7 @@ module Inputs = {
   let make = (
     ~samplingInputs=empty,
     ~squiggleString,
-    ~environment=ExpressionTypes.ExpressionTree.Environment.empty,
+    ~environment=ASTTypes.AST.Environment.empty,
     (),
   ): inputs => {
     samplingInputs: samplingInputs,
@@ -40,8 +40,8 @@ type \"export" = [
   | #DistPlus(DistPlus.t)
   | #Float(float)
   | #Function(
-    (array<string>, ExpressionTypes.ExpressionTree.node),
-    ExpressionTypes.ExpressionTree.environment,
+    (array<string>, ASTTypes.AST.node),
+    ASTTypes.AST.environment,
   )
 ]
 
@@ -53,18 +53,18 @@ module Internals = {
   ): Inputs.inputs => {
     samplingInputs: samplingInputs,
     squiggleString: squiggleString,
-    environment: ExpressionTypes.ExpressionTree.Environment.update(environment, str, _ => Some(
+    environment: ASTTypes.AST.Environment.update(environment, str, _ => Some(
       node,
     )),
   }
 
   type outputs = {
-    graph: ExpressionTypes.ExpressionTree.node,
+    graph: ASTTypes.AST.node,
     shape: PointSetTypes.shape,
   }
   let makeOutputs = (graph, shape): outputs => {graph: graph, shape: shape}
 
-  let makeInputs = (inputs: Inputs.inputs): ExpressionTypes.ExpressionTree.samplingInputs => {
+  let makeInputs = (inputs: Inputs.inputs): ASTTypes.AST.samplingInputs => {
     sampleCount: inputs.samplingInputs.sampleCount |> E.O.default(10000),
     outputXYPoints: inputs.samplingInputs.outputXYPoints |> E.O.default(10000),
     kernelWidth: inputs.samplingInputs.kernelWidth,
@@ -72,9 +72,9 @@ module Internals = {
   }
 
   let runNode = (inputs, node) =>
-    ExpressionTree.toLeaf(makeInputs(inputs), inputs.environment, node)
+    AST.toLeaf(makeInputs(inputs), inputs.environment, node)
 
-  let runProgram = (inputs: Inputs.inputs, p: ExpressionTypes.Program.program) => {
+  let runProgram = (inputs: Inputs.inputs, p: ASTTypes.Program.program) => {
     let ins = ref(inputs)
     p
     |> E.A.fmap(x =>
@@ -91,14 +91,14 @@ module Internals = {
   }
 
   let inputsToLeaf = (inputs: Inputs.inputs) =>
-    MathJsParser.fromString(inputs.squiggleString) |> E.R.bind(_, g => runProgram(inputs, g))
+    Parser.fromString(inputs.squiggleString) |> E.R.bind(_, g => runProgram(inputs, g))
 
   let outputToDistPlus = (inputs: Inputs.inputs, shape: PointSetTypes.shape) =>
     DistPlus.make(~shape, ~squiggleString=Some(inputs.squiggleString), ())
 }
 
-let renderIfNeeded = (inputs: Inputs.inputs, node: ExpressionTypes.ExpressionTree.node): result<
-  ExpressionTypes.ExpressionTree.node,
+let renderIfNeeded = (inputs: Inputs.inputs, node: ASTTypes.AST.node): result<
+  ASTTypes.AST.node,
   string,
 > =>
   node |> (
@@ -121,11 +121,11 @@ let renderIfNeeded = (inputs: Inputs.inputs, node: ExpressionTypes.ExpressionTre
       }
   )
 
-// TODO: Consider using ExpressionTypes.ExpressionTree.getFloat or similar in this function
+// TODO: Consider using ASTTypes.AST.getFloat or similar in this function
 let coersionToExportedTypes = (
   inputs,
-  env: ExpressionTypes.ExpressionTree.environment,
-  node: ExpressionTypes.ExpressionTree.node,
+  env: ASTTypes.AST.environment,
+  node: ASTTypes.AST.node,
 ): result<\"export", string> =>
   node
   |> renderIfNeeded(inputs)
@@ -135,7 +135,7 @@ let coersionToExportedTypes = (
     | #SymbolicDist(#Float(x)) => Ok(#Float(x))
     | #RenderedDist(n) => Ok(#DistPlus(Internals.outputToDistPlus(inputs, n)))
     | #Function(n) => Ok(#Function(n, env))
-    | n => Error("Didn't output a rendered distribution. Format:" ++ ExpressionTree.toString(n))
+    | n => Error("Didn't output a rendered distribution. Format:" ++ AST.toString(n))
     }
   )
 
@@ -160,10 +160,10 @@ let evaluateProgram = (inputs: Inputs.inputs) =>
 
 let evaluateFunction = (
   inputs: Inputs.inputs,
-  fn: (array<string>, ExpressionTypes.ExpressionTree.node),
+  fn: (array<string>, ASTTypes.AST.node),
   fnInputs,
 ) => {
-  let output = ExpressionTree.runFunction(
+  let output = AST.runFunction(
     Internals.makeInputs(inputs),
     inputs.environment,
     fnInputs,

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

@@ -1,14 +1,14 @@
-open ExpressionTypes.ExpressionTree
+open ASTTypes.AST
 
-let toString = ExpressionTreeBasic.toString
+let toString = ASTBasic.toString
 let envs = (samplingInputs, environment) => {
   samplingInputs: samplingInputs,
   environment: environment,
-  evaluateNode: ExpressionTreeEvaluator.toLeaf,
+  evaluateNode: ASTEvaluator.toLeaf,
 }
 
 let toLeaf = (samplingInputs, environment, node: node) =>
-  ExpressionTreeEvaluator.toLeaf(envs(samplingInputs, environment), node)
+  ASTEvaluator.toLeaf(envs(samplingInputs, environment), node)
 let toShape = (samplingInputs, environment, node: node) =>
   switch toLeaf(samplingInputs, environment, node) {
   | Ok(#RenderedDist(shape)) => Ok(shape)

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

@@ -1,4 +1,4 @@
-open ExpressionTypes.ExpressionTree
+open ASTTypes.AST
 // This file exists to manage a dependency cycle. It would be good to refactor later.
 
 let rec toString: node => string = x =>

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

@@ -1,5 +1,5 @@
-open ExpressionTypes
-open ExpressionTypes.ExpressionTree
+open ASTTypes
+open ASTTypes.AST
 
 type t = node
 type tResult = node => result<node, string>
@@ -56,7 +56,7 @@ module AlgebraicCombination = {
 
   let operationToLeaf = (
     evaluationParams: evaluationParams,
-    algebraicOp: ExpressionTypes.algebraicOperation,
+    algebraicOp: ASTTypes.algebraicOperation,
     t1: t,
     t2: t,
   ): result<node, string> =>
@@ -174,9 +174,9 @@ module FunctionCall = {
     )
 
   let _runWithEvaluatedInputs = (
-    evaluationParams: ExpressionTypes.ExpressionTree.evaluationParams,
+    evaluationParams: ASTTypes.AST.evaluationParams,
     name,
-    args: array<ExpressionTypes.ExpressionTree.node>,
+    args: array<ASTTypes.AST.node>,
   ) =>
     _runHardcodedFunction(name, evaluationParams, args) |> E.O.default(
       _runLocalFunction(name, evaluationParams, args),
@@ -208,7 +208,7 @@ module Render = {
    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 = (
-  evaluationParams: ExpressionTypes.ExpressionTree.evaluationParams,
+  evaluationParams: ASTTypes.AST.evaluationParams,
   node: t,
 ): result<t, string> =>
   switch node {
@@ -236,7 +236,7 @@ let rec toLeaf = (
     |> E.A.R.firstErrorOrOpen
     |> E.R.fmap(r => #Hash(r))
   | #Symbol(r) =>
-    ExpressionTypes.ExpressionTree.Environment.get(evaluationParams.environment, r)
+    ASTTypes.AST.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

@@ -15,7 +15,7 @@ type distToFloatOperation = [
   | #Sample
 ]
 
-module ExpressionTree = {
+module AST = {
   type rec hash = array<(string, node)>
   and node = [
     | #SymbolicDist(SymbolicDistTypes.symbolicDist)
@@ -160,15 +160,15 @@ module ExpressionTree = {
 }
 
 type simplificationResult = [
-  | #Solution(ExpressionTree.node)
+  | #Solution(AST.node)
   | #Error(string)
   | #NoSolution
 ]
 
 module Program = {
   type statement = [
-    | #Assignment(string, ExpressionTree.node)
-    | #Expression(ExpressionTree.node)
+    | #Assignment(string, AST.node)
+    | #Expression(AST.node)
   ]
   type program = array<statement>
 }

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

@@ -1,4 +1,4 @@
-open ExpressionTypes
+open ASTTypes
 
 module Algebraic = {
   type t = algebraicOperation
@@ -103,5 +103,5 @@ module T = {
     | #Truncate(lc, rc, t) => truncateToString(lc, rc, nodeToString(t))
     | #Render(t) => nodeToString(t)
     | _ => ""
-    } // SymbolicDist and RenderedDist are handled in ExpressionTree.toString.
+    } // SymbolicDist and RenderedDist are handled in AST.toString.
 }

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

@@ -1,4 +1,4 @@
-open ExpressionTypes.ExpressionTree
+open ASTTypes.AST
 
 module Function = {
   type t = (array<string>, node)
@@ -10,7 +10,7 @@ module Function = {
   let argumentNames = ((a, _): t) => a
   let internals = ((_, b): t) => b
   let run = (
-    evaluationParams: ExpressionTypes.ExpressionTree.evaluationParams,
+    evaluationParams: ASTTypes.AST.evaluationParams,
     args: array<node>,
     t: t,
   ) =>
@@ -19,10 +19,10 @@ module Function = {
         Belt.Array.zip(
           argumentNames(t),
           args,
-        ) |> ExpressionTypes.ExpressionTree.Environment.fromArray
-      let newEvaluationParams: ExpressionTypes.ExpressionTree.evaluationParams = {
+        ) |> ASTTypes.AST.Environment.fromArray
+      let newEvaluationParams: ASTTypes.AST.evaluationParams = {
         samplingInputs: evaluationParams.samplingInputs,
-        environment: ExpressionTypes.ExpressionTree.Environment.mergeKeepSecond(
+        environment: ASTTypes.AST.Environment.mergeKeepSecond(
           evaluationParams.environment,
           newEnvironment,
         ),

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

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

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

@@ -1,5 +1,5 @@
-type node = ExpressionTypes.ExpressionTree.node
-let getFloat = ExpressionTypes.ExpressionTree.getFloat
+type node = ASTTypes.AST.node
+let getFloat = ASTTypes.AST.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: " ++ ExpressionTreeBasic.toString(e))
+    | e => Error("Wrong type: " ++ ASTBasic.toString(e))
     }
 
   // todo: Arrays and hashes
@@ -78,7 +78,7 @@ module TypedValue = {
         node,
       ) |> E.R.bind(_, fromNode)
     | (#RenderedDistribution, _) =>
-      ExpressionTypes.ExpressionTree.Render.render(evaluationParams, node) |> E.R.bind(_, fromNode)
+      ASTTypes.AST.Render.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,
-          ExpressionTypes.ExpressionTree.Hash.getByName(r, name),
+          ASTTypes.AST.Hash.getByName(r, name),
         ))
       let typedHash =
         keyValues
@@ -172,7 +172,7 @@ module Function = {
       |> E.A.R.firstErrorOrOpen
 
     let inputsToTypedValues = (
-      evaluationParams: ExpressionTypes.ExpressionTree.evaluationParams,
+      evaluationParams: ASTTypes.AST.evaluationParams,
       inputNodes: inputNodes,
       t: t,
     ) =>
@@ -181,7 +181,7 @@ module Function = {
       )
 
     let run = (
-      evaluationParams: ExpressionTypes.ExpressionTree.evaluationParams,
+      evaluationParams: ASTTypes.AST.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<ExpressionTypes.ExpressionTree.node>) =>
+      parseArgs() |> E.R.fmap((args: array<ASTTypes.AST.node>) =>
         #FunctionCall("lognormal", args)
       )
     }
@@ -130,8 +130,8 @@ module MathAdtToDistDst = {
   //  Error("Dotwise exponentiation needs two operands")
   let operationParser = (
     name: string,
-    args: result<array<ExpressionTypes.ExpressionTree.node>, string>,
-  ): result<ExpressionTypes.ExpressionTree.node, string> => {
+    args: result<array<ASTTypes.AST.node>, string>,
+  ): result<ASTTypes.AST.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<
-      ExpressionTypes.ExpressionTree.node,
+      ASTTypes.AST.node,
       string,
     >,
     name: string,
     args: array<MathJsonToMathJsAdt.arg>,
-  ): result<ExpressionTypes.ExpressionTree.node, string> => {
+  ): result<ASTTypes.AST.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: ExpressionTypes.ExpressionTree.node = #FunctionCall(
+        let hash: ASTTypes.AST.node = #FunctionCall(
           "multimodal",
           [#Hash([("dists", #Array(dists)), ("weights", #Array([]))])],
         )
         Ok(hash)
       | (Some(Ok(weights)), Ok(dists)) =>
-        let hash: ExpressionTypes.ExpressionTree.node = #FunctionCall(
+        let hash: ASTTypes.AST.node = #FunctionCall(
           "multimodal",
           [#Hash([("dists", #Array(dists)), ("weights", #Array(weights))])],
         )
         Ok(hash)
       }
     | name =>
-      parseArgs() |> E.R.fmap((args: array<ExpressionTypes.ExpressionTree.node>) =>
+      parseArgs() |> E.R.fmap((args: array<ASTTypes.AST.node>) =>
         #FunctionCall(name, args)
       )
     }
   }
 
   let rec nodeParser: MathJsonToMathJsAdt.arg => result<
-    ExpressionTypes.ExpressionTree.node,
+    ASTTypes.AST.node,
     string,
   > = x =>
     switch x {
@@ -246,7 +246,7 @@ module MathAdtToDistDst = {
   //   let evaluatedExpression = run(expression);
   //   `Function(_ => Ok(evaluatedExpression));
   // }
-  let rec topLevel = (r): result<ExpressionTypes.Program.program, string> =>
+  let rec topLevel = (r): result<ASTTypes.Program.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<ExpressionTypes.Program.program, string> =>
+  let run = (r): result<ASTTypes.Program.program, string> =>
     r |> MathAdtCleaner.run |> topLevel
 }
 

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

@@ -96,7 +96,7 @@ let toDiscretePointMassesFromTriangulars = (
 }
 
 let combineShapesContinuousContinuous = (
-  op: ExpressionTypes.algebraicOperation,
+  op: ASTTypes.algebraicOperation,
   s1: PointSetTypes.xyShape,
   s2: PointSetTypes.xyShape,
 ): PointSetTypes.xyShape => {
@@ -200,7 +200,7 @@ let toDiscretePointMassesFromDiscrete = (s: PointSetTypes.xyShape): pointMassesW
 }
 
 let combineShapesContinuousDiscrete = (
-  op: ExpressionTypes.algebraicOperation,
+  op: ASTTypes.algebraicOperation,
   continuousShape: PointSetTypes.xyShape,
   discreteShape: PointSetTypes.xyShape,
 ): PointSetTypes.xyShape => {

packages/squiggle-lang/src/rescript/pointSet/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: ExpressionTypes.algebraicOperation,
+  op: ASTTypes.algebraicOperation,
   t1: t,
   t2: PointSetTypes.discreteShape,
 ) => {
@@ -244,7 +244,7 @@ let combineAlgebraicallyWithDiscrete = (
   }
 }
 
-let combineAlgebraically = (op: ExpressionTypes.algebraicOperation, t1: t, t2: t) => {
+let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t) => {
   let s1 = t1 |> getShape
   let s2 = t2 |> getShape
   let t1n = s1 |> XYShape.T.length

packages/squiggle-lang/src/rescript/pointSet/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: ExpressionTypes.algebraicOperation, t1: t, t2: t): t => {
+let combineAlgebraically = (op: ASTTypes.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/pointSet/Mixed.res

@@ -227,7 +227,7 @@ module T = Dist({
   }
 })
 
-let combineAlgebraically = (op: ExpressionTypes.algebraicOperation, t1: t, t2: t): t => {
+let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t => {
   // Discrete convolution can cause a huge increase in the number of samples,
   // so we'll first downsample.
 

packages/squiggle-lang/src/rescript/pointSet/Shape.res

@@ -33,7 +33,7 @@ let toMixed = mapToAll((
     ),
 ))
 
-let combineAlgebraically = (op: ExpressionTypes.algebraicOperation, t1: t, t2: t): t =>
+let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t =>
   switch (t1, t2) {
   | (Continuous(m1), Continuous(m2)) =>
     Continuous.combineAlgebraically(op, m1, m2) |> Continuous.T.toShape
@@ -197,7 +197,7 @@ let sampleNRendered = (n, dist) => {
   doN(n, () => sample(distWithUpdatedIntegralCache))
 }
 
-let operate = (distToFloatOp: ExpressionTypes.distToFloatOperation, s): float =>
+let operate = (distToFloatOp: ASTTypes.distToFloatOperation, s): float =>
   switch distToFloatOp {
   | #Pdf(f) => pdf(f, s)
   | #Cdf(f) => pdf(f, s)

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

@@ -80,7 +80,7 @@ module Internals = {
 
 let toShape = (
   ~samples: Internals.T.t,
-  ~samplingInputs: ExpressionTypes.ExpressionTree.samplingInputs,
+  ~samplingInputs: ASTTypes.AST.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: ExpressionTypes.distToFloatOperation, s) =>
+  let operate = (distToFloatOp: ASTTypes.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: ExpressionTypes.algebraicOperation,
+    op: ASTTypes.algebraicOperation,
   ): analyticalSimplificationResult =>
     switch (d1, d2) {
     | (#Float(v1), #Float(v2)) =>