squiggle/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation/DistributionOperation.res

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