The proper issue326 (again)
Value: [1 to 3.6]
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@ -154,10 +154,16 @@ let rec run = (~env, functionCallInfo: functionCallInfo): outputType => {
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->GenericDist.toPointSet(~xyPointLength, ~sampleCount, ())
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->E.R2.fmap(r => Dist(PointSet(r)))
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->OutputLocal.fromResult
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| ToDistCombination(Algebraic, _, #Float(_)) => GenDistError(NotYetImplemented)
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| ToDistCombination(Algebraic, arithmeticOperation, #Dist(t2)) =>
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| ToDistCombination(Algebraic(_), _, #Float(_)) => GenDistError(NotYetImplemented)
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| ToDistCombination(Algebraic(strategy), arithmeticOperation, #Dist(t2)) =>
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dist
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->GenericDist.algebraicCombination(~toPointSetFn, ~toSampleSetFn, ~arithmeticOperation, ~t2)
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->GenericDist.algebraicCombination(
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~strategy,
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~toPointSetFn,
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~toSampleSetFn,
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~arithmeticOperation,
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~t2,
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)
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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| ToDistCombination(Pointwise, algebraicCombination, #Dist(t2)) =>
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@ -4,6 +4,8 @@ type genericDist =
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| SampleSet(SampleSetDist.t)
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| Symbolic(SymbolicDistTypes.symbolicDist)
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type asAlgebraicCombinationStrategy = AsDefault | AsSymbolic | AsMontecarlo | AsConvolution
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@genType
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type error =
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| NotYetImplemented
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@ -14,7 +16,7 @@ type error =
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| OperationError(Operation.Error.t)
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| PointSetConversionError(SampleSetDist.pointsetConversionError)
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| SparklineError(PointSetTypes.sparklineError) // This type of error is for when we find a sparkline of a discrete distribution. This should probably at some point be actually implemented
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| RequestedModeInvalidError
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| RequestedStrategyInvalidError
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| LogarithmOfDistributionError(string)
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| OtherError(string)
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@ -36,7 +38,7 @@ module Error = {
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| OperationError(err) => Operation.Error.toString(err)
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| PointSetConversionError(err) => SampleSetDist.pointsetConversionErrorToString(err)
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| SparklineError(err) => PointSetTypes.sparklineErrorToString(err)
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| RequestedModeInvalidError => `Requested mode invalid`
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| RequestedStrategyInvalidError => `Requested mode invalid`
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| OtherError(s) => s
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}
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@ -55,7 +57,7 @@ module DistributionOperation = {
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type pointsetXSelection = [#Linear | #ByWeight]
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type direction =
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| Algebraic
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| Algebraic(asAlgebraicCombinationStrategy)
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| Pointwise
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type toFloat = [
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@ -112,7 +114,7 @@ module DistributionOperation = {
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| ToString(ToString) => `toString`
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| ToString(ToSparkline(n)) => `toSparkline(${E.I.toString(n)})`
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| ToBool(IsNormalized) => `isNormalized`
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| ToDistCombination(Algebraic, _, _) => `algebraic`
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| ToDistCombination(Algebraic(_), _, _) => `algebraic`
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| ToDistCombination(Pointwise, _, _) => `pointwise`
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}
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@ -141,27 +143,27 @@ module Constructors = {
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let toString = (dist): t => FromDist(ToString(ToString), dist)
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let toSparkline = (dist, n): t => FromDist(ToString(ToSparkline(n)), dist)
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let algebraicAdd = (dist1, dist2: genericDist): t => FromDist(
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ToDistCombination(Algebraic, #Add, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Add, #Dist(dist2)),
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dist1,
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)
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let algebraicMultiply = (dist1, dist2): t => FromDist(
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ToDistCombination(Algebraic, #Multiply, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Multiply, #Dist(dist2)),
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dist1,
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)
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let algebraicDivide = (dist1, dist2): t => FromDist(
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ToDistCombination(Algebraic, #Divide, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Divide, #Dist(dist2)),
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dist1,
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)
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let algebraicSubtract = (dist1, dist2): t => FromDist(
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ToDistCombination(Algebraic, #Subtract, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Subtract, #Dist(dist2)),
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dist1,
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)
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let algebraicLogarithm = (dist1, dist2): t => FromDist(
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ToDistCombination(Algebraic, #Logarithm, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Logarithm, #Dist(dist2)),
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dist1,
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)
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let algebraicPower = (dist1, dist2): t => FromDist(
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ToDistCombination(Algebraic, #Power, #Dist(dist2)),
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ToDistCombination(Algebraic(AsDefault), #Power, #Dist(dist2)),
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dist1,
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)
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let pointwiseAdd = (dist1, dist2): t => FromDist(
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@ -5,7 +5,6 @@ type toPointSetFn = t => result<PointSetTypes.pointSetDist, error>
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type toSampleSetFn = t => result<SampleSetDist.t, error>
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type scaleMultiplyFn = (t, float) => result<t, error>
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type pointwiseAddFn = (t, t) => result<t, error>
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type asMode = AsSymbolic | AsMontecarlo | AsConvolution
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let sampleN = (t: t, n) =>
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switch t {
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@ -243,7 +242,7 @@ module AlgebraicCombination = {
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type calculationMethod = MonteCarlo | Convolution(Operation.convolutionOperation)
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let chooseConvolutionOrMonteCarlo = (
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let chooseConvolutionOrMonteCarloDefault = (
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op: Operation.algebraicOperation,
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t2: t,
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t1: t,
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@ -259,7 +258,26 @@ module AlgebraicCombination = {
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: Convolution(convOp)
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}
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let run' = (
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let chooseConvolutionOrMonteCarlo = (
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~strat: DistributionTypes.asAlgebraicCombinationStrategy,
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op: Operation.algebraicOperation,
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t2: t,
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t1: t,
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): result<calculationMethod, error> => {
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switch strat {
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| AsDefault => Ok(chooseConvolutionOrMonteCarloDefault(op, t2, t1))
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| AsConvolution =>
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switch op {
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| #Divide | #Power | #Logarithm => Error(RequestedStrategyInvalidError)
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| (#Add | #Subtract | #Multiply) as convOp => Ok(Convolution(convOp))
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}
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| AsMontecarlo => Ok(MonteCarlo)
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| AsSymbolic => Error(RequestedStrategyInvalidError)
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}
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}
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let run = (
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~strategy: DistributionTypes.asAlgebraicCombinationStrategy,
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t1: t,
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~toPointSetFn: toPointSetFn,
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~toSampleSetFn: toSampleSetFn,
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@ -273,35 +291,37 @@ module AlgebraicCombination = {
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switch getInvalidOperationError(t1, t2, ~toPointSetFn, ~arithmeticOperation) {
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| Some(e) => Error(e)
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| None =>
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switch chooseConvolutionOrMonteCarlo(arithmeticOperation, t1, t2) {
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| MonteCarlo => runMonteCarlo(toSampleSetFn, arithmeticOperation, t1, t2)
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| Convolution(convOp) =>
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switch chooseConvolutionOrMonteCarlo(~strat=strategy, arithmeticOperation, t1, t2) {
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| Ok(MonteCarlo) => runMonteCarlo(toSampleSetFn, arithmeticOperation, t1, t2)
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| Ok(Convolution(convOp)) =>
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runConvolution(toPointSetFn, convOp, t1, t2)->E.R2.fmap(r => DistributionTypes.PointSet(
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r,
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))
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| Error(RequestedStrategyInvalidError) => Error(RequestedStrategyInvalidError)
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| Error(err) => Error(err)
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}
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}
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}
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}
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let run = (
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~mode: option<asMode>=?,
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t1: t,
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~toPointSetFn: toPointSetFn,
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~toSampleSetFn: toSampleSetFn,
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~arithmeticOperation,
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~t2: t,
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): result<t, error> => {
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let algebraicResult = run'(t1, ~toPointSetFn, ~toSampleSetFn, ~arithmeticOperation, ~t2)
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switch (mode, algebraicResult) {
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| (None, _)
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| (Some(AsSymbolic), Ok(Symbolic(_)))
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| (Some(AsMontecarlo), Ok(DistributionTypes.SampleSet(_)))
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| (Some(AsConvolution), Ok(DistributionTypes.PointSet(_)))
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| (Some(_), Error(_)) => algebraicResult
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| (Some(_), Ok(_)) => Error(RequestedModeInvalidError)
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}
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}
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// let run = (
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// ~mode: option<asMode>=?,
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// t1: t,
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// ~toPointSetFn: toPointSetFn,
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// ~toSampleSetFn: toSampleSetFn,
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// ~arithmeticOperation,
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// ~t2: t,
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// ): result<t, error> => {
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// let algebraicResult = run'(t1, ~toPointSetFn, ~toSampleSetFn, ~arithmeticOperation, ~t2)
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// switch (mode, algebraicResult) {
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// | (None, _)
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// | (Some(AsSymbolic), Ok(Symbolic(_)))
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// | (Some(AsMontecarlo), Ok(DistributionTypes.SampleSet(_)))
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// | (Some(AsConvolution), Ok(DistributionTypes.PointSet(_)))
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// | (Some(_), Error(_)) => algebraicResult
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// | (Some(_), Ok(_)) => Error(RequestedModeInvalidError)
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// }
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// }
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}
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let algebraicCombination = AlgebraicCombination.run
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@ -4,7 +4,6 @@ type toPointSetFn = t => result<PointSetTypes.pointSetDist, error>
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type toSampleSetFn = t => result<SampleSetDist.t, error>
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type scaleMultiplyFn = (t, float) => result<t, error>
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type pointwiseAddFn = (t, t) => result<t, error>
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type asMode = AsSymbolic | AsMontecarlo | AsConvolution
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let sampleN: (t, int) => array<float>
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@ -43,7 +42,7 @@ let truncate: (
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) => result<t, error>
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let algebraicCombination: (
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~mode: asMode=?,
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~strategy: DistributionTypes.asAlgebraicCombinationStrategy,
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t,
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~toPointSetFn: toPointSetFn,
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~toSampleSetFn: toSampleSetFn,
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@ -208,7 +208,7 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall): option<
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Helpers.toStringFn(ToSparkline(Belt.Float.toInt(n)), dist)
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| ("exp", [EvDistribution(a)]) =>
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// https://mathjs.org/docs/reference/functions/exp.html
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Helpers.twoDiststoDistFn(Algebraic, "pow", GenericDist.fromFloat(Math.e), a)->Some
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Helpers.twoDiststoDistFn(Algebraic(AsDefault), "pow", GenericDist.fromFloat(Math.e), a)->Some
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| ("normalize", [EvDistribution(dist)]) => Helpers.toDistFn(Normalize, dist)
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| ("isNormalized", [EvDistribution(dist)]) => Helpers.toBoolFn(IsNormalized, dist)
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| ("toPointSet", [EvDistribution(dist)]) => Helpers.toDistFn(ToPointSet, dist)
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@ -228,14 +228,14 @@ let dispatchToGenericOutput = (call: ExpressionValue.functionCall): option<
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Helpers.toDistFn(Truncate(Some(float1), Some(float2)), dist)
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| ("mx" | "mixture", args) => Helpers.mixture(args)->Some
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| ("log", [EvDistribution(a)]) =>
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Helpers.twoDiststoDistFn(Algebraic, "log", a, GenericDist.fromFloat(Math.e))->Some
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Helpers.twoDiststoDistFn(Algebraic(AsDefault), "log", a, GenericDist.fromFloat(Math.e))->Some
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| ("log10", [EvDistribution(a)]) =>
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Helpers.twoDiststoDistFn(Algebraic, "log", a, GenericDist.fromFloat(10.0))->Some
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Helpers.twoDiststoDistFn(Algebraic(AsDefault), "log", a, GenericDist.fromFloat(10.0))->Some
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| ("unaryMinus", [EvDistribution(a)]) =>
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Helpers.twoDiststoDistFn(Algebraic, "multiply", a, GenericDist.fromFloat(-1.0))->Some
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Helpers.twoDiststoDistFn(Algebraic(AsDefault), "multiply", a, GenericDist.fromFloat(-1.0))->Some
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| (("add" | "multiply" | "subtract" | "divide" | "pow" | "log") as arithmetic, [_, _] as args) =>
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Helpers.catchAndConvertTwoArgsToDists(args)->E.O2.fmap(((fst, snd)) =>
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Helpers.twoDiststoDistFn(Algebraic, arithmetic, fst, snd)
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Helpers.twoDiststoDistFn(Algebraic(AsDefault), arithmetic, fst, snd)
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)
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| (
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("dotAdd"
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