Refactored Operation.res to live out of the interpreter
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@ -1,6 +1,6 @@
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open ASTTypes.AST
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let toString = ASTBasic.toString
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let toString = ASTTypes.Node.toString
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let envs = (samplingInputs, environment) => {
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samplingInputs: samplingInputs,
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@ -1,27 +0,0 @@
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open ASTTypes.AST
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// This file exists to manage a dependency cycle. It would be good to refactor later.
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let rec toString: node => string = x =>
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switch x {
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| #SymbolicDist(d) => SymbolicDist.T.toString(d)
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| #RenderedDist(_) => "[renderedShape]"
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| #AlgebraicCombination(op, t1, t2) => Operation.Algebraic.format(op, toString(t1), toString(t2))
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| #PointwiseCombination(op, t1, t2) => Operation.Pointwise.format(op, toString(t1), toString(t2))
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| #Normalize(t) => "normalize(k" ++ (toString(t) ++ ")")
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| #Truncate(lc, rc, t) => Operation.T.truncateToString(lc, rc, toString(t))
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| #Render(t) => toString(t)
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| #Symbol(t) => "Symbol: " ++ t
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| #FunctionCall(name, args) =>
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"[Function call: (" ++
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(name ++
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((args |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ ")]"))
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| #Function(args, internal) =>
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"[Function: (" ++ ((args |> Js.String.concatMany(_, ",")) ++ (toString(internal) ++ ")]"))
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| #Array(a) => "[" ++ ((a |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ "]")
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| #Hash(h) =>
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"{" ++
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((h
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|> E.A.fmap(((name, value)) => name ++ (":" ++ toString(value)))
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|> Js.String.concatMany(_, ",")) ++
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"}")
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}
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@ -56,7 +56,7 @@ module AlgebraicCombination = {
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let operationToLeaf = (
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evaluationParams: evaluationParams,
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algebraicOp: ASTTypes.algebraicOperation,
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algebraicOp: Operation.algebraicOperation,
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t1: t,
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t2: t,
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): result<node, string> =>
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@ -106,7 +106,7 @@ module PointwiseCombination = {
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let operationToLeaf = (
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evaluationParams: evaluationParams,
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pointwiseOp: pointwiseOperation,
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pointwiseOp: Operation.pointwiseOperation,
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t1: t,
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t2: t,
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) =>
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@ -1,20 +1,3 @@
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type algebraicOperation = [
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| #Add
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| #Multiply
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| #Subtract
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| #Divide
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| #Exponentiate
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]
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type pointwiseOperation = [#Add | #Multiply | #Exponentiate]
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type scaleOperation = [#Multiply | #Exponentiate | #Log]
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type distToFloatOperation = [
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| #Pdf(float)
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| #Cdf(float)
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| #Inv(float)
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| #Mean
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| #Sample
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]
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module AST = {
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type rec hash = array<(string, node)>
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and node = [
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@ -24,8 +7,8 @@ module AST = {
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| #Hash(hash)
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| #Array(array<node>)
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| #Function(array<string>, node)
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| #AlgebraicCombination(algebraicOperation, node, node)
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| #PointwiseCombination(pointwiseOperation, node, node)
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| #AlgebraicCombination(Operation.algebraicOperation, node, node)
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| #PointwiseCombination(Operation.pointwiseOperation, node, node)
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| #Normalize(node)
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| #Render(node)
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| #Truncate(option<float>, option<float>, node)
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@ -172,3 +155,32 @@ module Program = {
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]
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type program = array<statement>
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}
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module Node = {
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let rec toString: AST.node => string = x =>
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switch x {
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| #SymbolicDist(d) => SymbolicDist.T.toString(d)
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| #RenderedDist(_) => "[renderedShape]"
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| #AlgebraicCombination(op, t1, t2) =>
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Operation.Algebraic.format(op, toString(t1), toString(t2))
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| #PointwiseCombination(op, t1, t2) =>
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Operation.Pointwise.format(op, toString(t1), toString(t2))
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| #Normalize(t) => "normalize(k" ++ (toString(t) ++ ")")
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| #Truncate(lc, rc, t) => Operation.Truncate.toString(lc, rc, toString(t))
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| #Render(t) => toString(t)
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| #Symbol(t) => "Symbol: " ++ t
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| #FunctionCall(name, args) =>
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"[Function call: (" ++
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(name ++
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((args |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ ")]"))
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| #Function(args, internal) =>
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"[Function: (" ++ ((args |> Js.String.concatMany(_, ",")) ++ (toString(internal) ++ ")]"))
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| #Array(a) => "[" ++ ((a |> E.A.fmap(toString) |> Js.String.concatMany(_, ",")) ++ "]")
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| #Hash(h) =>
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"{" ++
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((h
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|> E.A.fmap(((name, value)) => name ++ (":" ++ toString(value)))
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|> Js.String.concatMany(_, ",")) ++
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"}")
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}
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}
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@ -84,7 +84,7 @@ let makeDist = (name, fn) =>
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)
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let floatFromDist = (
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distToFloatOp: ASTTypes.distToFloatOperation,
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distToFloatOp: Operation.distToFloatOperation,
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t: TypeSystem.samplingDist,
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): result<node, string> =>
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switch t {
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@ -61,7 +61,7 @@ module TypedValue = {
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|> E.A.fmap(((name, t)) => fromNode(t) |> E.R.fmap(r => (name, r)))
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|> E.A.R.firstErrorOrOpen
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|> E.R.fmap(r => #Hash(r))
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| e => Error("Wrong type: " ++ ASTBasic.toString(e))
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| e => Error("Wrong type: " ++ ASTTypes.Node.toString(e))
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}
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// todo: Arrays and hashes
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@ -96,7 +96,7 @@ let toDiscretePointMassesFromTriangulars = (
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}
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let combineShapesContinuousContinuous = (
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op: ASTTypes.algebraicOperation,
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op: Operation.algebraicOperation,
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s1: PointSetTypes.xyShape,
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s2: PointSetTypes.xyShape,
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): PointSetTypes.xyShape => {
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@ -200,7 +200,7 @@ let toDiscretePointMassesFromDiscrete = (s: PointSetTypes.xyShape): pointMassesW
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}
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let combineShapesContinuousDiscrete = (
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op: ASTTypes.algebraicOperation,
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op: Operation.algebraicOperation,
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continuousShape: PointSetTypes.xyShape,
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discreteShape: PointSetTypes.xyShape,
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): PointSetTypes.xyShape => {
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@ -211,7 +211,7 @@ module T = Dist({
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/* This simply creates multiple copies of the continuous distribution, scaled and shifted according to
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each discrete data point, and then adds them all together. */
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let combineAlgebraicallyWithDiscrete = (
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op: ASTTypes.algebraicOperation,
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op: Operation.algebraicOperation,
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t1: t,
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t2: PointSetTypes.discreteShape,
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) => {
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@ -244,7 +244,7 @@ let combineAlgebraicallyWithDiscrete = (
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}
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}
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let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t) => {
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let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t) => {
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let s1 = t1 |> getShape
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let s2 = t2 |> getShape
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let t1n = s1 |> XYShape.T.length
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@ -85,7 +85,7 @@ let updateIntegralCache = (integralCache, t: t): t => {
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/* This multiples all of the data points together and creates a new discrete distribution from the results.
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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. */
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let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t => {
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let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t => {
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let t1s = t1 |> getShape
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let t2s = t2 |> getShape
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let t1n = t1s |> XYShape.T.length
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@ -227,7 +227,7 @@ module T = Dist({
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}
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})
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let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t => {
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let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t => {
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// Discrete convolution can cause a huge increase in the number of samples,
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// so we'll first downsample.
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@ -33,7 +33,7 @@ let toMixed = mapToAll((
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),
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))
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let combineAlgebraically = (op: ASTTypes.algebraicOperation, t1: t, t2: t): t =>
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let combineAlgebraically = (op: Operation.algebraicOperation, t1: t, t2: t): t =>
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switch (t1, t2) {
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| (Continuous(m1), Continuous(m2)) =>
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Continuous.combineAlgebraically(op, m1, m2) |> Continuous.T.toPointSetDist
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@ -197,7 +197,7 @@ let sampleNRendered = (n, dist) => {
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doN(n, () => sample(distWithUpdatedIntegralCache))
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}
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let operate = (distToFloatOp: ASTTypes.distToFloatOperation, s): float =>
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let operate = (distToFloatOp: Operation.distToFloatOperation, s): float =>
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switch distToFloatOp {
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| #Pdf(f) => pdf(f, s)
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| #Cdf(f) => pdf(f, s)
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@ -272,7 +272,7 @@ module T = {
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| #Float(n) => Float.mean(n)
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}
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let operate = (distToFloatOp: ASTTypes.distToFloatOperation, s) =>
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let operate = (distToFloatOp: Operation.distToFloatOperation, s) =>
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switch distToFloatOp {
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| #Cdf(f) => Ok(cdf(f, s))
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| #Pdf(f) => Ok(pdf(f, s))
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@ -302,7 +302,7 @@ module T = {
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let tryAnalyticalSimplification = (
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d1: symbolicDist,
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d2: symbolicDist,
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op: ASTTypes.algebraicOperation,
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op: Operation.algebraicOperation,
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): analyticalSimplificationResult =>
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switch (d1, d2) {
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| (#Float(v1), #Float(v2)) =>
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@ -1,4 +1,21 @@
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open ASTTypes
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// This file has no dependencies. It's used outside of the interpreter, but the interpreter depends on it.
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type algebraicOperation = [
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| #Add
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| #Multiply
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| #Subtract
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| #Divide
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| #Exponentiate
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]
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type pointwiseOperation = [#Add | #Multiply | #Exponentiate]
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type scaleOperation = [#Multiply | #Exponentiate | #Log]
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type distToFloatOperation = [
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| #Pdf(float)
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| #Cdf(float)
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| #Inv(float)
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| #Mean
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| #Sample
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]
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module Algebraic = {
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type t = algebraicOperation
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@ -86,22 +103,10 @@ module Scale = {
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}
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}
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module T = {
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let truncateToString = (left: option<float>, right: option<float>, nodeToString) => {
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module Truncate = {
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let toString = (left: option<float>, right: option<float>, nodeToString) => {
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let left = left |> E.O.dimap(Js.Float.toString, () => "-inf")
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let right = right |> E.O.dimap(Js.Float.toString, () => "inf")
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j`truncate($nodeToString, $left, $right)`
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}
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let toString = (nodeToString, x) =>
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switch x {
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| #AlgebraicCombination(op, t1, t2) => Algebraic.format(op, nodeToString(t1), nodeToString(t2))
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| #PointwiseCombination(op, t1, t2) => Pointwise.format(op, nodeToString(t1), nodeToString(t2))
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| #VerticalScaling(scaleOp, t, scaleBy) =>
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Scale.format(scaleOp, nodeToString(t), nodeToString(scaleBy))
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| #Normalize(t) => "normalize(k" ++ (nodeToString(t) ++ ")")
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| #FloatFromDist(floatFromDistOp, t) => DistToFloat.format(floatFromDistOp, nodeToString(t))
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| #Truncate(lc, rc, t) => truncateToString(lc, rc, nodeToString(t))
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| #Render(t) => nodeToString(t)
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| _ => ""
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} // SymbolicDist and RenderedDist are handled in AST.toString.
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}
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