distToDist and distToFloat
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@ -196,7 +196,7 @@ let sampleNRendered = (n, dist) => {
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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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| #Cdf(f) => cdf(f, s)
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| #Inv(f) => inv(f, s)
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| #Sample => sample(s)
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| #Mean => T.mean(s)
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@ -1,19 +1,13 @@
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type symboliDist = SymbolicDistTypes.symbolicDist;
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type symboliDist = SymbolicDistTypes.symbolicDist
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type genericDist = [
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| #XYContinuous(PointSetTypes.continuousShape)
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| #XYDiscrete(Discrete.t)
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| #XYShape(PointSetTypes.pointSetDist)
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| #SampleSet(array<float>)
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| #Symbolic(symboliDist)
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| #Error(string)
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| #Float(float)
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]
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let isSymbolic = (r: genericDist) =>
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switch r {
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| #Symbolic(_) => true
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| _ => false
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}
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type params = {
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sampleCount: int,
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xyPointLength: int,
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@ -28,35 +22,58 @@ type wrapped = (genericDist, params)
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let wrapWithParams = (g: genericDist, f: params): wrapped => (g, f)
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let exampleDist: genericDist = #XYDiscrete(
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Discrete.make(~integralSumCache=Some(1.0), {xs: [3.0], ys: [1.0]}),
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let exampleDist: genericDist = #XYShape(
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Discrete(Discrete.make(~integralSumCache=Some(1.0), {xs: [3.0], ys: [1.0]})),
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)
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let rec isFunctionPossible = (wrapped: wrapped, fnName): bool => {
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let (v, _) = wrapped
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switch (fnName, v) {
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| (#truncateLeft(_), #XYContinuous(_)) => true
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| (#truncateRight(_), #XYContinuous(_)) => true
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| _ => false
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}
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let defaultSamplingInputs: SamplingInputs.samplingInputs = {
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sampleCount: 10000,
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outputXYPoints: 10000,
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pointSetDistLength: 1000,
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kernelWidth: None,
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}
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let rec doFunction = (wrapped: wrapped, fnName): wrapped => {
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let distToFloat = (wrapped: wrapped, fnName) => {
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let (v, extra) = wrapped
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let newVal = switch (fnName, v) {
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| (#truncateLeft(f), #XYContinuous(r)) => #XYContinuous(Continuous.T.truncate(Some(f), None, r))
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| (#truncateRight(f), #XYContinuous(r)) => #XYContinuous(Continuous.T.truncate(None, Some(f), r))
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| (#toPointSet, #XYContinuous(r)) => v
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| (#toPointSet, #XYDiscrete(r)) => v
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| (#toPointSet, #Symbolic(#Float(f))) => #XYDiscrete(Discrete.make(~integralSumCache=Some(1.0), {xs: [f], ys: [1.0]}));
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| (#toPointSet, #Symbolic(r)) => {
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let xs = SymbolicDist.T.interpolateXs(~xSelection=#ByWeight, r, 1000)
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let ys = xs |> E.A.fmap(x => SymbolicDist.T.pdf(x, r))
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#XYContinuous(Continuous.make(~integralSumCache=Some(1.0), {xs: xs, ys: ys}))
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| (operation, #XYShape(r)) => #Float(PointSetDist.operate(operation, r))
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| (operation, #Symbolic(r)) => switch(SymbolicDist.T.operate(operation, r)){
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| Ok(r) => #SymbolicDist(r)
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| Error(r) => #Error(r)
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}
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| _ => #Error("No Match")
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}
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(newVal, extra)
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}
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let foo = exampleDist->wrapWithParams(genericParams)->doFunction(#truncateLeft(3.0))
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let distToDist = (wrapped: wrapped, fnName): wrapped => {
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let (v, extra) = wrapped
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let newVal = switch (fnName, v) {
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| (#normalize, #XYShape(r)) => #XYShape(PointSetDist.T.normalize(r))
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| (#normalize, #Symbolic(_)) => v
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| (#normalize, #SampleSet(_)) => v
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| (#toPointSet, #XYShape(_)) => v
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| (#toPointSet, #Symbolic(r)) => #XYShape(SymbolicDist.T.toPointSetDist(1000, r))
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| (#toPointSet, #SampleSet(r)) => {
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let response = SampleSet.toPointSetDist(
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~samples=r,
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~samplingInputs=defaultSamplingInputs,
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(),
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).pointSetDist
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switch response {
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| Some(r) => #XYShape(r)
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| None => #Error("Failed to convert sample into shape")
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}
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}
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| _ => #Error("No Match")
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}
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(newVal, extra)
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}
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// | (#truncateLeft(f), #XYContinuous(r)) => #XYContinuous(Continuous.T.truncate(Some(f), None, r))
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// | (#truncateRight(f), #XYContinuous(r)) => #XYContinuous(Continuous.T.truncate(None, Some(f), r))
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let foo =
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exampleDist
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->wrapWithParams(genericParams)
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->distToDist(#truncateLeft(3.0))
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->distToDist(#trunctateRight(5.0))
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