Refactored Normal and Lognormal functions

This commit is contained in:
Ozzie Gooen 2022-05-19 15:12:36 -04:00
parent 50a5ef2498
commit 58f1789cfe

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@ -130,11 +130,12 @@ module Function = {
type definitionId = int type definitionId = int
type match = Match.t<array<definitionId>, definitionId> type match = Match.t<array<definitionId>, definitionId>
let make = (name, definitions): function => { let make = (~name, ~definitions): function => {
name: name, name: name,
definitions: definitions, definitions: definitions,
} }
let makeDefinition = (name, inputs, run): fnDefinition => {
let makeDefinition = (~name, ~inputs, ~run): fnDefinition => {
name: name, name: name,
inputs: inputs, inputs: inputs,
run: run, run: run,
@ -239,39 +240,50 @@ module Registry = {
let impossibleError = "Wrong inputs / Logically impossible" let impossibleError = "Wrong inputs / Logically impossible"
let twoNumberInputs = (inputs: array<value>) => { module Prepare = {
switch inputs { let twoNumberInputs = (inputs: array<value>) => {
| [Number(n1), Number(n2)] => Ok(n1, n2) switch inputs {
| _ => Error(impossibleError) | [Number(n1), Number(n2)] => Ok(n1, n2)
| _ => Error(impossibleError)
}
} }
let twoDistOrNumber = (values: array<value>) => {
switch values {
| [DistOrNumber(a1), DistOrNumber(a2)] => Ok(a1, a2)
| _ => Error(impossibleError)
}
}
let twoNumberInputsRecord = (v1: string, v2: string, inputs: array<value>) =>
switch inputs {
| [Record([(name1, n1), (name2, n2)])] if name1 == v1 && name2 == v2 =>
twoNumberInputs([n1, n2])
| _ => Error(impossibleError)
}
let twoNumberInputsRecord2 = (inputs: array<value>) =>
switch inputs {
| [Record([(_, n1), (_, n2)])] => twoNumberInputs([n1, n2])
| _ => Error(impossibleError)
}
let twoNumberInputsRecord3 = (inputs: array<value>) =>
switch inputs {
| [Record([(_, n1), (_, n2)])] => Ok([n1, n2])
| _ => Error(impossibleError)
}
} }
let twoNumberInputsRecord = (v1, v2, inputs: array<value>) => module Wrappers = {
switch inputs { let symbolic = r => DistributionTypes.Symbolic(r)
| [Record([(name1, n1), (name2, n2)])] if name1 == v1 && name2 == v2 => twoNumberInputs([n1, n2]) let evDistribution = r => ReducerInterface_ExpressionValue.EvDistribution(r)
| _ => Error(impossibleError) let symbolicEvDistribution = r => r->Symbolic->evDistribution
}
let contain = r => ReducerInterface_ExpressionValue.EvDistribution(Symbolic(r))
let meanStdev = (mean, stdev) => SymbolicDist.Normal.make(mean, stdev)->E.R2.fmap(contain)
let p5and95 = (p5, p95) => contain(SymbolicDist.Normal.from90PercentCI(p5, p95))
let convertTwoInputs = (inputs: array<value>): result<expressionValue, string> =>
twoNumberInputs(inputs)->E.R.bind(((mean, stdev)) => meanStdev(mean, stdev))
let twoDistOrStdev = (a1: value, a2: value) => {
switch (a1, a2) {
| (DistOrNumber(a1), DistOrNumber(a2)) => Ok(a1, a2)
| _ => Error(impossibleError)
}
} }
let distTwo = ( let twoDistsOrNumbers = (
~fn: (float, float) => result<DistributionTypes.genericDist, string>, ~fn: (float, float) => result<DistributionTypes.genericDist, string>,
a1: value, ~values: (distOrNumber, distOrNumber),
a2: value,
) => { ) => {
let toSampleSet = r => GenericDist.toSampleSetDist(r, 1000) let toSampleSet = r => GenericDist.toSampleSetDist(r, 1000)
let sampleSetToExpressionValue = ( let sampleSetToExpressionValue = (
@ -299,12 +311,11 @@ let distTwo = (
sampleSetResult->sampleSetToExpressionValue sampleSetResult->sampleSetToExpressionValue
} }
switch (a1, a2) { switch values {
| (DistOrNumber(Number(a1)), DistOrNumber(Number(a2))) => | (Number(a1), Number(a2)) => fn(a1, a2)->E.R2.fmap(Wrappers.evDistribution)
fn(a1, a2)->E.R2.fmap(r => ReducerInterface_ExpressionValue.EvDistribution(r)) | (Dist(a1), Number(a2)) => singleVarSample(a1, r => fn(r, a2))
| (DistOrNumber(Dist(a1)), DistOrNumber(Number(a2))) => singleVarSample(a1, r => fn(r, a2)) | (Number(a1), Dist(a2)) => singleVarSample(a2, r => fn(a1, r))
| (DistOrNumber(Number(a1)), DistOrNumber(Dist(a2))) => singleVarSample(a2, r => fn(a1, r)) | (Dist(a1), Dist(a2)) => {
| (DistOrNumber(Dist(a1)), DistOrNumber(Dist(a2))) => {
let altFn = (a, b) => fn(a, b)->mapFnResult let altFn = (a, b) => fn(a, b)->mapFnResult
let sampleSetResult = let sampleSetResult =
E.R.merge(toSampleSet(a1), toSampleSet(a2)) E.R.merge(toSampleSet(a1), toSampleSet(a2))
@ -315,57 +326,87 @@ let distTwo = (
->E.R2.errMap(r => DistributionTypes.OtherError(r)) ->E.R2.errMap(r => DistributionTypes.OtherError(r))
sampleSetResult->sampleSetToExpressionValue sampleSetResult->sampleSetToExpressionValue
} }
| _ => Error(impossibleError)
} }
} }
let normal = Function.make( module NormalFn = {
"Normal", let fnName = "normal"
[ let twoFloatsToSymoblic = (a1: float, a2: float) =>
Function.makeDefinition("normal", [I_DistOrNumber, I_DistOrNumber], inputs => { SymbolicDist.Normal.make(a1, a2)->E.R2.fmap(Wrappers.symbolic)
let combine = (a1: float, a2: float) => let twoFloatsToSymbolic90P = (a1: float, a2: float) =>
SymbolicDist.Normal.make(a1, a2)->E.R2.fmap(r => DistributionTypes.Symbolic(r)) SymbolicDist.Normal.from90PercentCI(a1, a2)->Wrappers.symbolic->Ok
distTwo(~fn=combine, inputs[0], inputs[1])
}),
Function.makeDefinition(
"normal",
[I_Record([("mean", I_Numeric), ("stdev", I_Numeric)])],
inputs =>
twoNumberInputsRecord("mean", "stdev", inputs)->E.R.bind(((mean, stdev)) =>
meanStdev(mean, stdev)
),
),
Function.makeDefinition("normal", [I_Record([("p5", I_Numeric), ("p95", I_Numeric)])], inputs =>
twoNumberInputsRecord("p5", "p95", inputs)->E.R.bind(((v1, v2)) => Ok(p5and95(v1, v2)))
),
],
)
let logNormal = Function.make( let toFn = Function.make(
"Lognormal", ~name="Normal",
[ ~definitions=[
Function.makeDefinition("lognormal", [I_Numeric, I_Numeric], inputs => Function.makeDefinition(
twoNumberInputs(inputs)->E.R.bind(((mu, sigma)) => ~name=fnName,
SymbolicDist.Lognormal.make(mu, sigma)->E.R2.fmap(contain) ~inputs=[I_DistOrNumber, I_DistOrNumber],
) ~run=inputs => {
), inputs
Function.makeDefinition( ->Prepare.twoDistOrNumber
"lognormal", ->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToSymoblic, ~values=_))
[I_Record([("p5", I_Numeric), ("p95", I_Numeric)])], },
inputs => ),
twoNumberInputsRecord("p5", "p95", inputs)->E.R.bind(((p5, p95)) => Ok( Function.makeDefinition(
contain(SymbolicDist.Lognormal.from90PercentCI(p5, p95)), ~name=fnName,
)), ~inputs=[I_Record([("mean", I_DistOrNumber), ("stdev", I_DistOrNumber)])],
), ~run=inputs =>
Function.makeDefinition( inputs
"lognormal", ->Prepare.twoNumberInputsRecord3
[I_Record([("mean", I_Numeric), ("stdev", I_Numeric)])], ->E.R.bind(Prepare.twoDistOrNumber)
inputs => ->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToSymoblic, ~values=_)),
twoNumberInputsRecord("mean", "stdev", inputs)->E.R.bind(((mean, stdev)) => ),
SymbolicDist.Lognormal.fromMeanAndStdev(mean, stdev)->E.R2.fmap(contain) Function.makeDefinition(
), ~name=fnName,
), ~inputs=[I_Record([("p5", I_DistOrNumber), ("p95", I_DistOrNumber)])],
], ~run=inputs =>
) inputs
->Prepare.twoNumberInputsRecord3
->E.R.bind(Prepare.twoDistOrNumber)
->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToSymbolic90P, ~values=_)),
),
],
)
}
let allFunctions = [normal, logNormal] module LognormalFn = {
let fnName = "lognormal"
let twoFloatsToSymoblic = (a1, a2) =>
SymbolicDist.Lognormal.make(a1, a2)->E.R2.fmap(Wrappers.symbolic)
let twoFloatsToSymbolic90P = (a1, a2) =>
SymbolicDist.Lognormal.from90PercentCI(a1, a2)->Wrappers.symbolic->Ok
let twoFloatsToMeanStdev = (a1, a2) =>
SymbolicDist.Lognormal.fromMeanAndStdev(a1, a2)->E.R2.fmap(Wrappers.symbolic)
let toFn = Function.make(
~name="Lognormal",
~definitions=[
Function.makeDefinition(~name=fnName, ~inputs=[I_DistOrNumber, I_DistOrNumber], ~run=inputs =>
inputs
->Prepare.twoDistOrNumber
->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToSymoblic, ~values=_))
),
Function.makeDefinition(
~name=fnName,
~inputs=[I_Record([("p5", I_DistOrNumber), ("p95", I_DistOrNumber)])],
~run=inputs =>
inputs
->Prepare.twoNumberInputsRecord3
->E.R.bind(Prepare.twoDistOrNumber)
->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToSymbolic90P, ~values=_)),
),
Function.makeDefinition(
~name=fnName,
~inputs=[I_Record([("mean", I_DistOrNumber), ("stdev", I_DistOrNumber)])],
~run=inputs =>
inputs
->Prepare.twoNumberInputsRecord3
->E.R.bind(Prepare.twoDistOrNumber)
->E.R.bind(twoDistsOrNumbers(~fn=twoFloatsToMeanStdev, ~values=_)),
),
],
)
}
let allFunctions = [NormalFn.toFn, LognormalFn.toFn]