Added symbolic functions and tests for reducer interface distribution code
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@ -0,0 +1,26 @@
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open Jest
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open Reducer_TestHelpers
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let makeTest = (str, result) => test(str, () => expectEvalToBe(str, result))
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describe("eval", () => {
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Only.describe("expressions", () => {
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makeTest("normal(5,2)", "Ok(Normal(5,2))")
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makeTest("lognormal(5,2)", "Ok(Lognormal(5,2))")
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makeTest("mean(normal(5,2))", "Ok(5)")
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makeTest("mean(lognormal(1,2))", "Ok(20.085536923187668)")
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makeTest("normalize(normal(5,2))", "Ok(Normal(5,2))")
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makeTest("toPointSet(normal(5,2))", "Ok(Point Set Distribution)")
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makeTest("toSampleSet(normal(5,2), 100)", "Ok(Sample Set Distribution)")
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makeTest("add(normal(5,2), normal(10,2))", "Ok(Normal(15,2.8284271247461903))")
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makeTest("add(normal(5,2), lognormal(10,2))", "Ok(Sample Set Distribution)")
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makeTest("dotAdd(normal(5,2), lognormal(10,2))", "Ok(Point Set Distribution)")
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makeTest("dotAdd(normal(5,2), 3)", "Ok(Point Set Distribution)")
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makeTest("add(normal(5,2), 3)", "Ok(Point Set Distribution)")
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makeTest("add(3, normal(5,2))", "Ok(Point Set Distribution)")
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makeTest("3+normal(5,2)", "Ok(Point Set Distribution)")
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makeTest("add(3, 3)", "Ok(6)")
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makeTest("truncateLeft(normal(5,2), 3)", "Ok(Point Set Distribution)")
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makeTest("mean(add(3, normal(5,2)))", "Ok(8.004619792609384)")
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})
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})
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@ -74,11 +74,54 @@ let genericOutputToReducerValue = (o: GenericDist_GenericOperation.outputType):
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| GenDistError(Other(s)) => Error(RETodo(s))
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}
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module SymbolicConstructor = {
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let oneFloat = name =>
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switch name {
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| "exponential" => Ok(SymbolicDist.Exponential.make)
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| _ => Error("impossible path")
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}
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let twoFloat = name =>
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switch name {
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| "normal" => Ok(SymbolicDist.Normal.make)
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| "uniform" => Ok(SymbolicDist.Uniform.make)
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| "beta" => Ok(SymbolicDist.Beta.make)
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| "lognormal" => Ok(SymbolicDist.Lognormal.make)
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| _ => Error("impossible path")
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}
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let threeFloat = name =>
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switch name {
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| "triangular" => Ok(SymbolicDist.Triangular.make)
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| _ => Error("impossible path")
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}
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let symbolicResultToOutput = (
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symbolicResult: result<SymbolicDistTypes.symbolicDist, string>,
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): option<GenericDist_GenericOperation.outputType> =>
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switch symbolicResult {
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| Ok(r) => Some(Dist(Symbolic(r)))
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| Error(r) => Some(GenDistError(Other(r)))
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}
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}
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let dispatchToGenericOutput = (call: ExpressionValue.functionCall): option<
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GenericDist_GenericOperation.outputType,
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> => {
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let (fnName, args) = call
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switch (fnName, args) {
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| ("exponential" as fnName, [EvNumber(f1)]) =>
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SymbolicConstructor.oneFloat(fnName)
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->E.R.bind(r => r(f1))
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->SymbolicConstructor.symbolicResultToOutput
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| (("normal" | "uniform" | "beta" | "lognormal") as fnName, [EvNumber(f1), EvNumber(f2)]) =>
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SymbolicConstructor.twoFloat(fnName)
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->E.R.bind(r => r(f1, f2))
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->SymbolicConstructor.symbolicResultToOutput
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| ("triangular" as fnName, [EvNumber(f1), EvNumber(f2), EvNumber(f3)]) =>
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SymbolicConstructor.threeFloat(fnName)
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->E.R.bind(r => r(f1, f2, f3))
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->SymbolicConstructor.symbolicResultToOutput
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| ("sample", [EvDistribution(dist)]) => toFloatFn(#Sample, dist)
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| ("mean", [EvDistribution(dist)]) => toFloatFn(#Mean, dist)
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| ("normalize", [EvDistribution(dist)]) => toDistFn(Normalize, dist)
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@ -88,7 +131,8 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall): option<
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| ("inv", [EvDistribution(dist), EvNumber(float)]) => toFloatFn(#Inv(float), dist)
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| ("toSampleSet", [EvDistribution(dist), EvNumber(float)]) =>
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toDistFn(ToSampleSet(Belt.Int.fromFloat(float)), dist)
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| ("truncateLeft", [EvDistribution(dist), EvNumber(float)]) => toDistFn(Truncate(Some(float), None), dist)
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| ("truncateLeft", [EvDistribution(dist), EvNumber(float)]) =>
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toDistFn(Truncate(Some(float), None), dist)
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| ("truncateRight", [EvDistribution(dist), EvNumber(float)]) =>
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toDistFn(Truncate(None, Some(float)), dist)
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| ("truncate", [EvDistribution(dist), EvNumber(float1), EvNumber(float2)]) =>
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