231 lines
8.3 KiB
Plaintext
231 lines
8.3 KiB
Plaintext
type functionCallInfo = GenericDist_Types.Operation.genericFunctionCallInfo
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type genericDist = DistributionTypes.genericDist
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type error = DistributionTypes.error
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// TODO: It could be great to use a cache for some calculations (basically, do memoization). Also, better analytics/tracking could go a long way.
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type env = {
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sampleCount: int,
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xyPointLength: int,
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}
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type outputType =
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| Dist(genericDist)
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| Float(float)
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| String(string)
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| GenDistError(error)
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/*
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We're going to add another function to this module later, so first define a
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local version, which is not exported.
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*/
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module OutputLocal = {
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type t = outputType
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let toError = (t: outputType) =>
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switch t {
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| GenDistError(d) => Some(d)
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| _ => None
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}
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let toErrorOrUnreachable = (t: t): error => t->toError->E.O2.default((Unreachable: error))
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let toDistR = (t: t): result<genericDist, error> =>
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switch t {
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| Dist(r) => Ok(r)
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| e => Error(toErrorOrUnreachable(e))
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}
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let toDist = (t: t) =>
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switch t {
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| Dist(d) => Some(d)
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| _ => None
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}
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let toFloat = (t: t) =>
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switch t {
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| Float(d) => Some(d)
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| _ => None
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}
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let toFloatR = (t: t): result<float, error> =>
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switch t {
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| Float(r) => Ok(r)
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| e => Error(toErrorOrUnreachable(e))
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}
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let toString = (t: t) =>
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switch t {
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| String(d) => Some(d)
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| _ => None
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}
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let toStringR = (t: t): result<string, error> =>
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switch t {
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| String(r) => Ok(r)
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| e => Error(toErrorOrUnreachable(e))
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}
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//This is used to catch errors in other switch statements.
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let fromResult = (r: result<t, error>): outputType =>
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switch r {
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| Ok(t) => t
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| Error(e) => GenDistError(e)
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}
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}
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let rec run = (~env, functionCallInfo: functionCallInfo): outputType => {
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let {sampleCount, xyPointLength} = env
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let reCall = (~env=env, ~functionCallInfo=functionCallInfo, ()) => {
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run(~env, functionCallInfo)
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}
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let toPointSetFn = r => {
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switch reCall(~functionCallInfo=FromDist(ToDist(ToPointSet), r), ()) {
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| Dist(PointSet(p)) => Ok(p)
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| e => Error(OutputLocal.toErrorOrUnreachable(e))
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}
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}
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let toSampleSetFn = r => {
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switch reCall(~functionCallInfo=FromDist(ToDist(ToSampleSet(sampleCount)), r), ()) {
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| Dist(SampleSet(p)) => Ok(p)
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| e => Error(OutputLocal.toErrorOrUnreachable(e))
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}
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}
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let scaleMultiply = (r, weight) =>
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reCall(
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~functionCallInfo=FromDist(ToDistCombination(Pointwise, #Multiply, #Float(weight)), r),
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(),
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)->OutputLocal.toDistR
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let pointwiseAdd = (r1, r2) =>
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reCall(
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~functionCallInfo=FromDist(ToDistCombination(Pointwise, #Add, #Dist(r2)), r1),
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(),
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)->OutputLocal.toDistR
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let fromDistFn = (subFnName: GenericDist_Types.Operation.fromDist, dist: genericDist) =>
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switch subFnName {
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| ToFloat(distToFloatOperation) =>
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GenericDist.toFloatOperation(dist, ~toPointSetFn, ~distToFloatOperation)
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->E.R2.fmap(r => Float(r))
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->OutputLocal.fromResult
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| ToString(ToString) => dist->GenericDist.toString->String
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| ToString(ToSparkline(bucketCount)) =>
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GenericDist.toSparkline(dist, ~sampleCount, ~bucketCount, ())
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->E.R2.fmap(r => String(r))
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->OutputLocal.fromResult
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| ToDist(Inspect) => {
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Js.log2("Console log requested: ", dist)
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Dist(dist)
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}
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| ToDist(Normalize) => dist->GenericDist.normalize->Dist
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| ToDist(Truncate(leftCutoff, rightCutoff)) =>
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GenericDist.truncate(~toPointSetFn, ~leftCutoff, ~rightCutoff, dist, ())
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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| ToDist(ToSampleSet(n)) =>
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dist
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->GenericDist.toSampleSetDist(n)
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->E.R2.fmap(r => Dist(SampleSet(r)))
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->OutputLocal.fromResult
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| ToDist(ToPointSet) =>
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dist
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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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dist
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->GenericDist.algebraicCombination(~toPointSetFn, ~toSampleSetFn, ~arithmeticOperation, ~t2)
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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| ToDistCombination(Pointwise, arithmeticOperation, #Dist(t2)) =>
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dist
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->GenericDist.pointwiseCombination(~toPointSetFn, ~arithmeticOperation, ~t2)
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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| ToDistCombination(Pointwise, arithmeticOperation, #Float(float)) =>
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dist
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->GenericDist.pointwiseCombinationFloat(~toPointSetFn, ~arithmeticOperation, ~float)
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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}
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switch functionCallInfo {
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| FromDist(subFnName, dist) => fromDistFn(subFnName, dist)
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| FromFloat(subFnName, float) =>
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reCall(~functionCallInfo=FromDist(subFnName, GenericDist.fromFloat(float)), ())
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| Mixture(dists) =>
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dists
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->GenericDist.mixture(~scaleMultiplyFn=scaleMultiply, ~pointwiseAddFn=pointwiseAdd)
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->E.R2.fmap(r => Dist(r))
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->OutputLocal.fromResult
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}
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}
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let runFromDist = (~env, ~functionCallInfo, dist) => run(~env, FromDist(functionCallInfo, dist))
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let runFromFloat = (~env, ~functionCallInfo, float) => run(~env, FromFloat(functionCallInfo, float))
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module Output = {
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include OutputLocal
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let fmap = (
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~env,
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input: outputType,
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functionCallInfo: GenericDist_Types.Operation.singleParamaterFunction,
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): outputType => {
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let newFnCall: result<functionCallInfo, error> = switch (functionCallInfo, input) {
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| (FromDist(fromDist), Dist(o)) => Ok(FromDist(fromDist, o))
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| (FromFloat(fromDist), Float(o)) => Ok(FromFloat(fromDist, o))
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| (_, GenDistError(r)) => Error(r)
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| (FromDist(_), _) => Error(Other("Expected dist, got something else"))
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| (FromFloat(_), _) => Error(Other("Expected float, got something else"))
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}
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newFnCall->E.R2.fmap(run(~env))->OutputLocal.fromResult
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}
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}
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// See comment above GenericDist_Types.Constructors to explain the purpose of this module.
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// I tried having another internal module called UsingDists, similar to how its done in
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// GenericDist_Types.Constructors. However, this broke GenType for me, so beware.
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module Constructors = {
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module C = GenericDist_Types.Constructors.UsingDists
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open OutputLocal
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let mean = (~env, dist) => C.mean(dist)->run(~env)->toFloatR
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let sample = (~env, dist) => C.sample(dist)->run(~env)->toFloatR
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let cdf = (~env, dist, f) => C.cdf(dist, f)->run(~env)->toFloatR
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let inv = (~env, dist, f) => C.inv(dist, f)->run(~env)->toFloatR
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let pdf = (~env, dist, f) => C.pdf(dist, f)->run(~env)->toFloatR
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let normalize = (~env, dist) => C.normalize(dist)->run(~env)->toDistR
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let toPointSet = (~env, dist) => C.toPointSet(dist)->run(~env)->toDistR
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let toSampleSet = (~env, dist, n) => C.toSampleSet(dist, n)->run(~env)->toDistR
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let truncate = (~env, dist, leftCutoff, rightCutoff) =>
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C.truncate(dist, leftCutoff, rightCutoff)->run(~env)->toDistR
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let inspect = (~env, dist) => C.inspect(dist)->run(~env)->toDistR
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let toString = (~env, dist) => C.toString(dist)->run(~env)->toStringR
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let toSparkline = (~env, dist, bucketCount) =>
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C.toSparkline(dist, bucketCount)->run(~env)->toStringR
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let algebraicAdd = (~env, dist1, dist2) => C.algebraicAdd(dist1, dist2)->run(~env)->toDistR
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let algebraicMultiply = (~env, dist1, dist2) =>
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C.algebraicMultiply(dist1, dist2)->run(~env)->toDistR
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let algebraicDivide = (~env, dist1, dist2) => C.algebraicDivide(dist1, dist2)->run(~env)->toDistR
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let algebraicSubtract = (~env, dist1, dist2) =>
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C.algebraicSubtract(dist1, dist2)->run(~env)->toDistR
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let algebraicLogarithm = (~env, dist1, dist2) =>
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C.algebraicLogarithm(dist1, dist2)->run(~env)->toDistR
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let algebraicPower = (~env, dist1, dist2) => C.algebraicPower(dist1, dist2)->run(~env)->toDistR
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let pointwiseAdd = (~env, dist1, dist2) => C.pointwiseAdd(dist1, dist2)->run(~env)->toDistR
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let pointwiseMultiply = (~env, dist1, dist2) =>
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C.pointwiseMultiply(dist1, dist2)->run(~env)->toDistR
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let pointwiseDivide = (~env, dist1, dist2) => C.pointwiseDivide(dist1, dist2)->run(~env)->toDistR
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let pointwiseSubtract = (~env, dist1, dist2) =>
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C.pointwiseSubtract(dist1, dist2)->run(~env)->toDistR
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let pointwiseLogarithm = (~env, dist1, dist2) =>
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C.pointwiseLogarithm(dist1, dist2)->run(~env)->toDistR
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let pointwisePower = (~env, dist1, dist2) => C.pointwisePower(dist1, dist2)->run(~env)->toDistR
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}
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