Moved function library modules to separate files

This commit is contained in:
Ozzie Gooen 2022-07-16 14:01:00 -07:00
parent e3ef7a3048
commit 0c032e710c
8 changed files with 898 additions and 908 deletions

View File

@ -1,910 +1,9 @@
open FunctionRegistry_Core
open FunctionRegistry_Helpers
let twoArgs = E.Tuple2.toFnCall
module Declaration = {
let frType = FRTypeRecord([
("fn", FRTypeLambda),
("inputs", FRTypeArray(FRTypeRecord([("min", FRTypeNumber), ("max", FRTypeNumber)]))),
])
let fromExpressionValue = (e: frValue): result<internalExpressionValue, string> => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs([e]) {
| Ok([FRValueLambda(lambda), FRValueArray(inputs)]) => {
open FunctionRegistry_Helpers.Prepare
let getMinMax = arg =>
ToValueArray.Record.toArgs([arg])
->E.R.bind(ToValueTuple.twoNumbers)
->E.R2.fmap(((min, max)) => Declaration.ContinuousFloatArg.make(min, max))
inputs
->E.A2.fmap(getMinMax)
->E.A.R.firstErrorOrOpen
->E.R2.fmap(args => ReducerInterface_InternalExpressionValue.IEvDeclaration(
Declaration.make(lambda, args),
))
}
| Error(r) => Error(r)
| Ok(_) => Error(FunctionRegistry_Helpers.impossibleError)
}
}
}
module PointSet = {
let nameSpace = "PointSet"
let requiresNamespace = true
let inputsTodist = (inputs: array<FunctionRegistry_Core.frValue>, makeDist) => {
let array = inputs->getOrError(0)->E.R.bind(Prepare.ToValueArray.Array.openA)
let xyCoords =
array->E.R.bind(xyCoords =>
xyCoords
->E.A2.fmap(xyCoord =>
[xyCoord]->Prepare.ToValueArray.Record.twoArgs->E.R.bind(Prepare.ToValueTuple.twoNumbers)
)
->E.A.R.firstErrorOrOpen
)
let expressionValue =
xyCoords
->E.R.bind(r => r->XYShape.T.makeFromZipped->E.R2.errMap(XYShape.Error.toString))
->E.R2.fmap(r => ReducerInterface_InternalExpressionValue.IEvDistribution(
PointSet(makeDist(r)),
))
expressionValue
}
let library = [
Function.make(
~name="makeContinuous",
~nameSpace,
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="makeContinuous",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
(),
),
],
(),
),
Function.make(
~name="makeDiscrete",
~nameSpace,
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="makeDiscrete",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
(),
),
],
(),
),
]
}
module Functionn = {
let nameSpace = "Function"
let library = [
Function.make(
~name="declare",
~nameSpace,
~description="Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.",
~examples=[
`declareFn({
fn: {|a,b| a },
inputs: [
{min: 0, max: 100},
{min: 30, max: 50}
]
})`,
],
~isExperimental=true,
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="declare",
~inputs=[Declaration.frType],
~run=(_, inputs, _) => {
inputs->getOrError(0)->E.R.bind(Declaration.fromExpressionValue)
},
(),
),
],
(),
),
]
}
module DistributionCreation = {
let nameSpace = "Dist"
let output = ReducerInterface_InternalExpressionValue.EvtDistribution
let fnMake = (~name, ~examples, ~definitions) => {
Function.make(~name, ~nameSpace, ~output, ~examples, ~definitions, ())
}
module TwoArgDist = {
let process = (~fn, ~env, r) =>
r
->E.R.bind(Process.DistOrNumberToDist.twoValuesUsingSymbolicDist(~fn, ~values=_, ~env))
->E.R2.fmap(Wrappers.evDistribution)
let make = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeDistOrNumber, FRTypeDistOrNumber],
~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.twoDistOrNumber->process(~fn, ~env),
(),
)
}
let makeRecordP5P95 = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeRecord([("p5", FRTypeDistOrNumber), ("p95", FRTypeDistOrNumber)])],
~run=(_, inputs, env) =>
inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
(),
)
}
let makeRecordMeanStdev = (name, fn) => {
FnDefinition.make(
~name,
~requiresNamespace=false,
~inputs=[FRTypeRecord([("mean", FRTypeDistOrNumber), ("stdev", FRTypeDistOrNumber)])],
~run=(_, inputs, env) =>
inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
(),
)
}
}
module OneArgDist = {
let process = (~fn, ~env, r) =>
r
->E.R.bind(Process.DistOrNumberToDist.oneValueUsingSymbolicDist(~fn, ~value=_, ~env))
->E.R2.fmap(Wrappers.evDistribution)
let make = (name, fn) =>
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeDistOrNumber],
~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.oneDistOrNumber->process(~fn, ~env),
(),
)
}
let library = [
fnMake(
~name="normal",
~examples=["normal(5,1)", "normal({p5: 4, p95: 10})", "normal({mean: 5, stdev: 2})"],
~definitions=[
TwoArgDist.make("normal", twoArgs(SymbolicDist.Normal.make)),
TwoArgDist.makeRecordP5P95("normal", r =>
twoArgs(SymbolicDist.Normal.from90PercentCI, r)->Ok
),
TwoArgDist.makeRecordMeanStdev("normal", twoArgs(SymbolicDist.Normal.make)),
],
),
fnMake(
~name="lognormal",
~examples=[
"lognormal(0.5, 0.8)",
"lognormal({p5: 4, p95: 10})",
"lognormal({mean: 5, stdev: 2})",
],
~definitions=[
TwoArgDist.make("lognormal", twoArgs(SymbolicDist.Lognormal.make)),
TwoArgDist.makeRecordP5P95("lognormal", r =>
twoArgs(SymbolicDist.Lognormal.from90PercentCI, r)->Ok
),
TwoArgDist.makeRecordMeanStdev(
"lognormal",
twoArgs(SymbolicDist.Lognormal.fromMeanAndStdev),
),
],
),
fnMake(
~name="uniform",
~examples=[`uniform(10, 12)`],
~definitions=[TwoArgDist.make("uniform", twoArgs(SymbolicDist.Uniform.make))],
),
fnMake(
~name="beta",
~examples=[`beta(20, 25)`, `beta({mean: 0.39, stdev: 0.1})`],
~definitions=[
TwoArgDist.make("beta", twoArgs(SymbolicDist.Beta.make)),
TwoArgDist.makeRecordMeanStdev("beta", twoArgs(SymbolicDist.Beta.fromMeanAndStdev)),
],
),
fnMake(
~name="cauchy",
~examples=[`cauchy(5, 1)`],
~definitions=[TwoArgDist.make("cauchy", twoArgs(SymbolicDist.Cauchy.make))],
),
fnMake(
~name="gamma",
~examples=[`gamma(5, 1)`],
~definitions=[TwoArgDist.make("gamma", twoArgs(SymbolicDist.Gamma.make))],
),
fnMake(
~name="logistic",
~examples=[`logistic(5, 1)`],
~definitions=[TwoArgDist.make("logistic", twoArgs(SymbolicDist.Logistic.make))],
),
fnMake(
~name="to (distribution)",
~examples=[`5 to 10`, `to(5,10)`, `-5 to 5`],
~definitions=[
TwoArgDist.make("to", twoArgs(SymbolicDist.From90thPercentile.make)),
TwoArgDist.make(
"credibleIntervalToDistribution",
twoArgs(SymbolicDist.From90thPercentile.make),
),
],
),
fnMake(
~name="exponential",
~examples=[`exponential(2)`],
~definitions=[OneArgDist.make("exponential", SymbolicDist.Exponential.make)],
),
fnMake(
~name="bernoulli",
~examples=[`bernoulli(0.5)`],
~definitions=[OneArgDist.make("bernoulli", SymbolicDist.Bernoulli.make)],
),
fnMake(
~name="pointMass",
~examples=[`pointMass(0.5)`],
~definitions=[OneArgDist.make("pointMass", SymbolicDist.Float.makeSafe)],
),
]
}
module Number = {
let nameSpace = "Number"
let requiresNamespace = false
module NumberToNumber = {
let make = (name, fn) =>
FnDefinition.make(
~requiresNamespace,
~name,
~inputs=[FRTypeNumber],
~run=(_, inputs, _) => {
inputs
->getOrError(0)
->E.R.bind(Prepare.oneNumber)
->E.R2.fmap(fn)
->E.R2.fmap(Wrappers.evNumber)
},
(),
)
}
module ArrayNumberDist = {
let make = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeArray(FRTypeNumber)],
~run=(_, inputs, _) =>
Prepare.ToTypedArray.numbers(inputs)
->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
->E.R.bind(fn),
(),
)
}
let make2 = (name, fn) => {
FnDefinition.make(
~name,
~inputs=[FRTypeArray(FRTypeAny)],
~run=(_, inputs, _) =>
Prepare.ToTypedArray.numbers(inputs)
->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
->E.R.bind(fn),
(),
)
}
}
let library = [
Function.make(
~name="floor",
~nameSpace,
~output=EvtNumber,
~examples=[`floor(3.5)`],
~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)],
(),
),
Function.make(
~name="ceiling",
~nameSpace,
~output=EvtNumber,
~examples=[`ceiling(3.5)`],
~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)],
(),
),
Function.make(
~name="absolute value",
~nameSpace,
~output=EvtNumber,
~examples=[`abs(3.5)`],
~definitions=[NumberToNumber.make("abs", Js.Math.abs_float)],
(),
),
Function.make(
~name="exponent",
~nameSpace,
~output=EvtNumber,
~examples=[`exp(3.5)`],
~definitions=[NumberToNumber.make("exp", Js.Math.exp)],
(),
),
Function.make(
~name="log",
~nameSpace,
~output=EvtNumber,
~examples=[`log(3.5)`],
~definitions=[NumberToNumber.make("log", Js.Math.log)],
(),
),
Function.make(
~name="log base 10",
~nameSpace,
~output=EvtNumber,
~examples=[`log10(3.5)`],
~definitions=[NumberToNumber.make("log10", Js.Math.log10)],
(),
),
Function.make(
~name="log base 2",
~nameSpace,
~output=EvtNumber,
~examples=[`log2(3.5)`],
~definitions=[NumberToNumber.make("log2", Js.Math.log2)],
(),
),
Function.make(
~name="round",
~nameSpace,
~output=EvtNumber,
~examples=[`round(3.5)`],
~definitions=[NumberToNumber.make("round", Js.Math.round)],
(),
),
Function.make(
~name="sum",
~nameSpace,
~output=EvtNumber,
~examples=[`sum([3,5,2])`],
~definitions=[ArrayNumberDist.make("sum", r => r->E.A.Floats.sum->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="product",
~nameSpace,
~output=EvtNumber,
~examples=[`product([3,5,2])`],
~definitions=[
ArrayNumberDist.make("product", r => r->E.A.Floats.product->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="min",
~nameSpace,
~output=EvtNumber,
~examples=[`min([3,5,2])`],
~definitions=[ArrayNumberDist.make("min", r => r->E.A.Floats.min->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="max",
~nameSpace,
~output=EvtNumber,
~examples=[`max([3,5,2])`],
~definitions=[ArrayNumberDist.make("max", r => r->E.A.Floats.max->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="mean",
~nameSpace,
~output=EvtNumber,
~examples=[`mean([3,5,2])`],
~definitions=[ArrayNumberDist.make("mean", r => r->E.A.Floats.mean->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="geometric mean",
~nameSpace,
~output=EvtNumber,
~examples=[`geomean([3,5,2])`],
~definitions=[
ArrayNumberDist.make("geomean", r => r->E.A.Floats.geomean->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="standard deviation",
~nameSpace,
~output=EvtNumber,
~examples=[`stdev([3,5,2,3,5])`],
~definitions=[ArrayNumberDist.make("stdev", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="variance",
~nameSpace,
~output=EvtNumber,
~examples=[`variance([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("variance", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="sort",
~nameSpace,
~output=EvtArray,
~examples=[`sort([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("sort", r =>
r->E.A.Floats.sort->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="cumulative sum",
~nameSpace,
~output=EvtArray,
~examples=[`cumsum([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("cumsum", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="cumulative prod",
~nameSpace,
~output=EvtArray,
~examples=[`cumprod([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("cumprod", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="diff",
~nameSpace,
~output=EvtArray,
~examples=[`diff([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("diff", r =>
r->E.A.Floats.diff->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
]
}
module Dict = {
let nameSpace = "Dict"
module Internals = {
type t = ReducerInterface_InternalExpressionValue.map
let keys = (a: t): internalExpressionValue => IEvArray(
Belt.Map.String.keysToArray(a)->E.A2.fmap(Wrappers.evString),
)
let values = (a: t): internalExpressionValue => IEvArray(Belt.Map.String.valuesToArray(a))
let toList = (a: t): internalExpressionValue =>
Belt.Map.String.toArray(a)
->E.A2.fmap(((key, value)) => Wrappers.evArray([IEvString(key), value]))
->Wrappers.evArray
let fromList = (items: array<internalExpressionValue>): result<
internalExpressionValue,
string,
> =>
items
->E.A2.fmap(item => {
switch (item: internalExpressionValue) {
| IEvArray([IEvString(string), value]) => (string, value)->Ok
| _ => Error(impossibleError)
}
})
->E.A.R.firstErrorOrOpen
->E.R2.fmap(Belt.Map.String.fromArray)
->E.R2.fmap(Wrappers.evRecord)
let merge = (a: t, b: t): internalExpressionValue => IEvRecord(
Belt.Map.String.merge(a, b, (_, _, c) => c),
)
//Belt.Map.String has a function for mergeMany, but I couldn't understand how to use it yet.
let mergeMany = (a: array<t>): internalExpressionValue => {
let mergedValues =
a->E.A2.fmap(Belt.Map.String.toArray)->Belt.Array.concatMany->Belt.Map.String.fromArray
IEvRecord(mergedValues)
}
}
let library = [
Function.make(
~name="merge",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.merge({a: 1, b: 2}, {c: 3, d: 4})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="merge",
~inputs=[FRTypeDict(FRTypeAny), FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) => {
switch inputs {
| [IEvRecord(d1), IEvRecord(d2)] => Internals.merge(d1, d2)->Ok
| _ => Error(impossibleError)
}
},
(),
),
],
(),
),
//TODO: Change to use new mergeMany() function.
Function.make(
~name="mergeMany",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.mergeMany([{a: 1, b: 2}, {c: 3, d: 4}])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="mergeMany",
~inputs=[FRTypeArray(FRTypeDict(FRTypeAny))],
~run=(_, inputs, _) =>
inputs
->Prepare.ToTypedArray.dicts
->E.R2.fmap(E.Dict.concatMany)
->E.R2.fmap(Js.Dict.map((. r) => FunctionRegistry_Core.FRType.matchReverse(r)))
->E.R2.fmap(r => r->Js.Dict.entries->Belt.Map.String.fromArray)
->E.R2.fmap(Wrappers.evRecord),
(),
),
],
(),
),
Function.make(
~name="keys",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.keys({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="keys",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.keys(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="values",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.values({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="values",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.values(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="toList",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.toList({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="toList",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(dict)] => dict->Internals.toList->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="fromList",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.fromList({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="fromList",
~inputs=[FRTypeArray(FRTypeArray(FRTypeAny))],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(items)] => Internals.fromList(items)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
]
}
module List = {
let nameSpace = "List"
let requiresNamespace = true
module Internals = {
let makeFromNumber = (
n: float,
value: internalExpressionValue,
): internalExpressionValue => IEvArray(Belt.Array.make(E.Float.toInt(n), value))
let upTo = (low: float, high: float): internalExpressionValue => IEvArray(
E.A.Floats.range(low, high, (high -. low +. 1.0)->E.Float.toInt)->E.A2.fmap(
Wrappers.evNumber,
),
)
let first = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
v->E.A.first |> E.O.toResult("No first element")
let last = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
v->E.A.last |> E.O.toResult("No last element")
let reverse = (array: array<internalExpressionValue>): internalExpressionValue => IEvArray(
Belt.Array.reverse(array),
)
}
let library = [
Function.make(
~name="make",
~nameSpace,
~output=EvtArray,
~examples=[`List.make(2, "testValue")`],
~definitions=[
//Todo: If the second item is a function with no args, it could be nice to run this function and return the result.
FnDefinition.make(
~requiresNamespace,
~name="make",
~inputs=[FRTypeNumber, FRTypeAny],
~run=(inputs, _, _) => {
switch inputs {
| [IEvNumber(number), value] => Internals.makeFromNumber(number, value)->Ok
| _ => Error(impossibleError)
}
},
(),
),
],
(),
),
Function.make(
~name="upTo",
~nameSpace,
~output=EvtArray,
~examples=[`List.upTo(1,4)`],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="upTo",
~inputs=[FRTypeNumber, FRTypeNumber],
~run=(_, inputs, _) =>
inputs
->Prepare.ToValueTuple.twoNumbers
->E.R2.fmap(((low, high)) => Internals.upTo(low, high)),
(),
),
],
(),
),
Function.make(
~name="first",
~nameSpace,
~examples=[`List.first([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="first",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.first(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="last",
~nameSpace,
~examples=[`List.last([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=false,
~name="last",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.last(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="reverse",
~nameSpace,
~output=EvtArray,
~examples=[`List.reverse([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=false,
~name="reverse",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.reverse(array)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
]
}
module Scoring = {
let nameSpace = "Dist"
let requiresNamespace = false
let runScoring = (estimate, answer, prior, env) => {
GenericDist.Score.logScore(~estimate, ~answer, ~prior, ~env)
->E.R2.fmap(FunctionRegistry_Helpers.Wrappers.evNumber)
->E.R2.errMap(DistributionTypes.Error.toString)
}
let library = [
Function.make(
~name="logScore",
~nameSpace,
~output=EvtNumber,
~examples=[
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)}, prior: normal(5.5,3)})",
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)}})",
"Dist.logScore({estimate: normal(5,2), answer: 4.5})",
],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="logScore",
~inputs=[
FRTypeRecord([
("estimate", FRTypeDist),
("answer", FRTypeDistOrNumber),
("prior", FRTypeDist),
]),
],
~run=(_, inputs, env) => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.threeArgs(inputs) {
| Ok([
FRValueDist(estimate),
FRValueDistOrNumber(FRValueDist(d)),
FRValueDist(prior),
]) =>
runScoring(estimate, Score_Dist(d), Some(prior), env)
| Ok([
FRValueDist(estimate),
FRValueDistOrNumber(FRValueNumber(d)),
FRValueDist(prior),
]) =>
runScoring(estimate, Score_Scalar(d), Some(prior), env)
| Error(e) => Error(e)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
FnDefinition.make(
~name="logScore",
~requiresNamespace,
~inputs=[FRTypeRecord([("estimate", FRTypeDist), ("answer", FRTypeDistOrNumber)])],
~run=(_, inputs, env) => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs(inputs) {
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueDist(d))]) =>
runScoring(estimate, Score_Dist(d), None, env)
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueNumber(d))]) =>
runScoring(estimate, Score_Scalar(d), None, env)
| Error(e) => Error(e)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
],
(),
),
Function.make(
~name="klDivergence",
~nameSpace,
~output=EvtNumber,
~examples=[
"Dist.klDivergence(normal(5,2), normal(5,1.5)",
],
~definitions=[
FnDefinition.make(
~name="klDivergence",
~requiresNamespace,
~inputs=[FRTypeDist, FRTypeDist],
~run=(_, inputs, env) => {
switch inputs {
| [FRValueDist(estimate), FRValueDist(d)] =>
runScoring(estimate, Score_Dist(d), None, env)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
],
(),
),
]
}
let registry = Belt.Array.concatMany([ let registry = Belt.Array.concatMany([
PointSet.library, FR_Dict.library,
Functionn.library, FR_Dist.library,
Number.library, FR_Fn.library,
Dict.library, FR_List.library,
List.library, FR_Number.library,
DistributionCreation.library, FR_Pointset.library,
Scoring.library, FR_Scoring.library
]) ])

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
let nameSpace = "Dict"
module Internals = {
type t = ReducerInterface_InternalExpressionValue.map
let keys = (a: t): internalExpressionValue => IEvArray(
Belt.Map.String.keysToArray(a)->E.A2.fmap(Wrappers.evString),
)
let values = (a: t): internalExpressionValue => IEvArray(Belt.Map.String.valuesToArray(a))
let toList = (a: t): internalExpressionValue =>
Belt.Map.String.toArray(a)
->E.A2.fmap(((key, value)) => Wrappers.evArray([IEvString(key), value]))
->Wrappers.evArray
let fromList = (items: array<internalExpressionValue>): result<internalExpressionValue, string> =>
items
->E.A2.fmap(item => {
switch (item: internalExpressionValue) {
| IEvArray([IEvString(string), value]) => (string, value)->Ok
| _ => Error(impossibleError)
}
})
->E.A.R.firstErrorOrOpen
->E.R2.fmap(Belt.Map.String.fromArray)
->E.R2.fmap(Wrappers.evRecord)
let merge = (a: t, b: t): internalExpressionValue => IEvRecord(
Belt.Map.String.merge(a, b, (_, _, c) => c),
)
//Belt.Map.String has a function for mergeMany, but I couldn't understand how to use it yet.
let mergeMany = (a: array<t>): internalExpressionValue => {
let mergedValues =
a->E.A2.fmap(Belt.Map.String.toArray)->Belt.Array.concatMany->Belt.Map.String.fromArray
IEvRecord(mergedValues)
}
}
let library = [
Function.make(
~name="merge",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.merge({a: 1, b: 2}, {c: 3, d: 4})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="merge",
~inputs=[FRTypeDict(FRTypeAny), FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) => {
switch inputs {
| [IEvRecord(d1), IEvRecord(d2)] => Internals.merge(d1, d2)->Ok
| _ => Error(impossibleError)
}
},
(),
),
],
(),
),
//TODO: Change to use new mergeMany() function.
Function.make(
~name="mergeMany",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.mergeMany([{a: 1, b: 2}, {c: 3, d: 4}])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="mergeMany",
~inputs=[FRTypeArray(FRTypeDict(FRTypeAny))],
~run=(_, inputs, _) =>
inputs
->Prepare.ToTypedArray.dicts
->E.R2.fmap(E.Dict.concatMany)
->E.R2.fmap(Js.Dict.map((. r) => FunctionRegistry_Core.FRType.matchReverse(r)))
->E.R2.fmap(r => r->Js.Dict.entries->Belt.Map.String.fromArray)
->E.R2.fmap(Wrappers.evRecord),
(),
),
],
(),
),
Function.make(
~name="keys",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.keys({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="keys",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.keys(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="values",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.values({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="values",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.values(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="toList",
~nameSpace,
~output=EvtArray,
~examples=[`Dict.toList({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="toList",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(dict)] => dict->Internals.toList->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="fromList",
~nameSpace,
~output=EvtRecord,
~examples=[`Dict.fromList({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="fromList",
~inputs=[FRTypeArray(FRTypeArray(FRTypeAny))],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(items)] => Internals.fromList(items)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
]

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
let twoArgs = E.Tuple2.toFnCall
module DistributionCreation = {
let nameSpace = "Dist"
let output = ReducerInterface_InternalExpressionValue.EvtDistribution
let fnMake = (~name, ~examples, ~definitions) => {
Function.make(~name, ~nameSpace, ~output, ~examples, ~definitions, ())
}
module TwoArgDist = {
let process = (~fn, ~env, r) =>
r
->E.R.bind(Process.DistOrNumberToDist.twoValuesUsingSymbolicDist(~fn, ~values=_, ~env))
->E.R2.fmap(Wrappers.evDistribution)
let make = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeDistOrNumber, FRTypeDistOrNumber],
~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.twoDistOrNumber->process(~fn, ~env),
(),
)
}
let makeRecordP5P95 = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeRecord([("p5", FRTypeDistOrNumber), ("p95", FRTypeDistOrNumber)])],
~run=(_, inputs, env) =>
inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
(),
)
}
let makeRecordMeanStdev = (name, fn) => {
FnDefinition.make(
~name,
~requiresNamespace=false,
~inputs=[FRTypeRecord([("mean", FRTypeDistOrNumber), ("stdev", FRTypeDistOrNumber)])],
~run=(_, inputs, env) =>
inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
(),
)
}
}
module OneArgDist = {
let process = (~fn, ~env, r) =>
r
->E.R.bind(Process.DistOrNumberToDist.oneValueUsingSymbolicDist(~fn, ~value=_, ~env))
->E.R2.fmap(Wrappers.evDistribution)
let make = (name, fn) =>
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeDistOrNumber],
~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.oneDistOrNumber->process(~fn, ~env),
(),
)
}
let library = [
fnMake(
~name="normal",
~examples=["normal(5,1)", "normal({p5: 4, p95: 10})", "normal({mean: 5, stdev: 2})"],
~definitions=[
TwoArgDist.make("normal", twoArgs(SymbolicDist.Normal.make)),
TwoArgDist.makeRecordP5P95("normal", r =>
twoArgs(SymbolicDist.Normal.from90PercentCI, r)->Ok
),
TwoArgDist.makeRecordMeanStdev("normal", twoArgs(SymbolicDist.Normal.make)),
],
),
fnMake(
~name="lognormal",
~examples=[
"lognormal(0.5, 0.8)",
"lognormal({p5: 4, p95: 10})",
"lognormal({mean: 5, stdev: 2})",
],
~definitions=[
TwoArgDist.make("lognormal", twoArgs(SymbolicDist.Lognormal.make)),
TwoArgDist.makeRecordP5P95("lognormal", r =>
twoArgs(SymbolicDist.Lognormal.from90PercentCI, r)->Ok
),
TwoArgDist.makeRecordMeanStdev(
"lognormal",
twoArgs(SymbolicDist.Lognormal.fromMeanAndStdev),
),
],
),
fnMake(
~name="uniform",
~examples=[`uniform(10, 12)`],
~definitions=[TwoArgDist.make("uniform", twoArgs(SymbolicDist.Uniform.make))],
),
fnMake(
~name="beta",
~examples=[`beta(20, 25)`, `beta({mean: 0.39, stdev: 0.1})`],
~definitions=[
TwoArgDist.make("beta", twoArgs(SymbolicDist.Beta.make)),
TwoArgDist.makeRecordMeanStdev("beta", twoArgs(SymbolicDist.Beta.fromMeanAndStdev)),
],
),
fnMake(
~name="cauchy",
~examples=[`cauchy(5, 1)`],
~definitions=[TwoArgDist.make("cauchy", twoArgs(SymbolicDist.Cauchy.make))],
),
fnMake(
~name="gamma",
~examples=[`gamma(5, 1)`],
~definitions=[TwoArgDist.make("gamma", twoArgs(SymbolicDist.Gamma.make))],
),
fnMake(
~name="logistic",
~examples=[`logistic(5, 1)`],
~definitions=[TwoArgDist.make("logistic", twoArgs(SymbolicDist.Logistic.make))],
),
fnMake(
~name="to (distribution)",
~examples=[`5 to 10`, `to(5,10)`, `-5 to 5`],
~definitions=[
TwoArgDist.make("to", twoArgs(SymbolicDist.From90thPercentile.make)),
TwoArgDist.make(
"credibleIntervalToDistribution",
twoArgs(SymbolicDist.From90thPercentile.make),
),
],
),
fnMake(
~name="exponential",
~examples=[`exponential(2)`],
~definitions=[OneArgDist.make("exponential", SymbolicDist.Exponential.make)],
),
fnMake(
~name="bernoulli",
~examples=[`bernoulli(0.5)`],
~definitions=[OneArgDist.make("bernoulli", SymbolicDist.Bernoulli.make)],
),
fnMake(
~name="pointMass",
~examples=[`pointMass(0.5)`],
~definitions=[OneArgDist.make("pointMass", SymbolicDist.Float.makeSafe)],
),
]
}
let library = DistributionCreation.library

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
module Declaration = {
let frType = FRTypeRecord([
("fn", FRTypeLambda),
("inputs", FRTypeArray(FRTypeRecord([("min", FRTypeNumber), ("max", FRTypeNumber)]))),
])
let fromExpressionValue = (e: frValue): result<internalExpressionValue, string> => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs([e]) {
| Ok([FRValueLambda(lambda), FRValueArray(inputs)]) => {
open FunctionRegistry_Helpers.Prepare
let getMinMax = arg =>
ToValueArray.Record.toArgs([arg])
->E.R.bind(ToValueTuple.twoNumbers)
->E.R2.fmap(((min, max)) => Declaration.ContinuousFloatArg.make(min, max))
inputs
->E.A2.fmap(getMinMax)
->E.A.R.firstErrorOrOpen
->E.R2.fmap(args => ReducerInterface_InternalExpressionValue.IEvDeclaration(
Declaration.make(lambda, args),
))
}
| Error(r) => Error(r)
| Ok(_) => Error(FunctionRegistry_Helpers.impossibleError)
}
}
}
let nameSpace = "Function"
let library = [
Function.make(
~name="declare",
~nameSpace,
~description="Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.",
~examples=[
`declareFn({
fn: {|a,b| a },
inputs: [
{min: 0, max: 100},
{min: 30, max: 50}
]
})`,
],
~isExperimental=true,
~definitions=[
FnDefinition.make(
~requiresNamespace=true,
~name="declare",
~inputs=[Declaration.frType],
~run=(_, inputs, _) => {
inputs->getOrError(0)->E.R.bind(Declaration.fromExpressionValue)
},
(),
),
],
(),
),
]

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
let nameSpace = "List"
let requiresNamespace = true
module Internals = {
let makeFromNumber = (
n: float,
value: internalExpressionValue,
): internalExpressionValue => IEvArray(Belt.Array.make(E.Float.toInt(n), value))
let upTo = (low: float, high: float): internalExpressionValue => IEvArray(
E.A.Floats.range(low, high, (high -. low +. 1.0)->E.Float.toInt)->E.A2.fmap(Wrappers.evNumber),
)
let first = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
v->E.A.first |> E.O.toResult("No first element")
let last = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
v->E.A.last |> E.O.toResult("No last element")
let reverse = (array: array<internalExpressionValue>): internalExpressionValue => IEvArray(
Belt.Array.reverse(array),
)
}
let library = [
Function.make(
~name="make",
~nameSpace,
~output=EvtArray,
~examples=[`List.make(2, "testValue")`],
~definitions=[
//Todo: If the second item is a function with no args, it could be nice to run this function and return the result.
FnDefinition.make(
~requiresNamespace,
~name="make",
~inputs=[FRTypeNumber, FRTypeAny],
~run=(inputs, _, _) => {
switch inputs {
| [IEvNumber(number), value] => Internals.makeFromNumber(number, value)->Ok
| _ => Error(impossibleError)
}
},
(),
),
],
(),
),
Function.make(
~name="upTo",
~nameSpace,
~output=EvtArray,
~examples=[`List.upTo(1,4)`],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="upTo",
~inputs=[FRTypeNumber, FRTypeNumber],
~run=(_, inputs, _) =>
inputs
->Prepare.ToValueTuple.twoNumbers
->E.R2.fmap(((low, high)) => Internals.upTo(low, high)),
(),
),
],
(),
),
Function.make(
~name="first",
~nameSpace,
~examples=[`List.first([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="first",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.first(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="last",
~nameSpace,
~examples=[`List.last([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=false,
~name="last",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.last(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="reverse",
~nameSpace,
~output=EvtArray,
~examples=[`List.reverse([1,4,5])`],
~definitions=[
FnDefinition.make(
~requiresNamespace=false,
~name="reverse",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.reverse(array)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
]

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
let nameSpace = "Number"
let requiresNamespace = false
module NumberToNumber = {
let make = (name, fn) =>
FnDefinition.make(
~requiresNamespace,
~name,
~inputs=[FRTypeNumber],
~run=(_, inputs, _) => {
inputs
->getOrError(0)
->E.R.bind(Prepare.oneNumber)
->E.R2.fmap(fn)
->E.R2.fmap(Wrappers.evNumber)
},
(),
)
}
module ArrayNumberDist = {
let make = (name, fn) => {
FnDefinition.make(
~requiresNamespace=false,
~name,
~inputs=[FRTypeArray(FRTypeNumber)],
~run=(_, inputs, _) =>
Prepare.ToTypedArray.numbers(inputs)
->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
->E.R.bind(fn),
(),
)
}
let make2 = (name, fn) => {
FnDefinition.make(
~name,
~inputs=[FRTypeArray(FRTypeAny)],
~run=(_, inputs, _) =>
Prepare.ToTypedArray.numbers(inputs)
->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
->E.R.bind(fn),
(),
)
}
}
let library = [
Function.make(
~name="floor",
~nameSpace,
~output=EvtNumber,
~examples=[`floor(3.5)`],
~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)],
(),
),
Function.make(
~name="ceiling",
~nameSpace,
~output=EvtNumber,
~examples=[`ceiling(3.5)`],
~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)],
(),
),
Function.make(
~name="absolute value",
~nameSpace,
~output=EvtNumber,
~examples=[`abs(3.5)`],
~definitions=[NumberToNumber.make("abs", Js.Math.abs_float)],
(),
),
Function.make(
~name="exponent",
~nameSpace,
~output=EvtNumber,
~examples=[`exp(3.5)`],
~definitions=[NumberToNumber.make("exp", Js.Math.exp)],
(),
),
Function.make(
~name="log",
~nameSpace,
~output=EvtNumber,
~examples=[`log(3.5)`],
~definitions=[NumberToNumber.make("log", Js.Math.log)],
(),
),
Function.make(
~name="log base 10",
~nameSpace,
~output=EvtNumber,
~examples=[`log10(3.5)`],
~definitions=[NumberToNumber.make("log10", Js.Math.log10)],
(),
),
Function.make(
~name="log base 2",
~nameSpace,
~output=EvtNumber,
~examples=[`log2(3.5)`],
~definitions=[NumberToNumber.make("log2", Js.Math.log2)],
(),
),
Function.make(
~name="round",
~nameSpace,
~output=EvtNumber,
~examples=[`round(3.5)`],
~definitions=[NumberToNumber.make("round", Js.Math.round)],
(),
),
Function.make(
~name="sum",
~nameSpace,
~output=EvtNumber,
~examples=[`sum([3,5,2])`],
~definitions=[ArrayNumberDist.make("sum", r => r->E.A.Floats.sum->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="product",
~nameSpace,
~output=EvtNumber,
~examples=[`product([3,5,2])`],
~definitions=[
ArrayNumberDist.make("product", r => r->E.A.Floats.product->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="min",
~nameSpace,
~output=EvtNumber,
~examples=[`min([3,5,2])`],
~definitions=[ArrayNumberDist.make("min", r => r->E.A.Floats.min->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="max",
~nameSpace,
~output=EvtNumber,
~examples=[`max([3,5,2])`],
~definitions=[ArrayNumberDist.make("max", r => r->E.A.Floats.max->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="mean",
~nameSpace,
~output=EvtNumber,
~examples=[`mean([3,5,2])`],
~definitions=[ArrayNumberDist.make("mean", r => r->E.A.Floats.mean->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="geometric mean",
~nameSpace,
~output=EvtNumber,
~examples=[`geomean([3,5,2])`],
~definitions=[
ArrayNumberDist.make("geomean", r => r->E.A.Floats.geomean->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="standard deviation",
~nameSpace,
~output=EvtNumber,
~examples=[`stdev([3,5,2,3,5])`],
~definitions=[ArrayNumberDist.make("stdev", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="variance",
~nameSpace,
~output=EvtNumber,
~examples=[`variance([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("variance", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="sort",
~nameSpace,
~output=EvtArray,
~examples=[`sort([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("sort", r =>
r->E.A.Floats.sort->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="cumulative sum",
~nameSpace,
~output=EvtArray,
~examples=[`cumsum([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("cumsum", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="cumulative prod",
~nameSpace,
~output=EvtArray,
~examples=[`cumprod([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("cumprod", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="diff",
~nameSpace,
~output=EvtArray,
~examples=[`diff([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("diff", r =>
r->E.A.Floats.diff->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
]

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open FunctionRegistry_Core
open FunctionRegistry_Helpers
let nameSpace = "PointSet"
let requiresNamespace = true
let inputsTodist = (inputs: array<FunctionRegistry_Core.frValue>, makeDist) => {
let array = inputs->getOrError(0)->E.R.bind(Prepare.ToValueArray.Array.openA)
let xyCoords =
array->E.R.bind(xyCoords =>
xyCoords
->E.A2.fmap(xyCoord =>
[xyCoord]->Prepare.ToValueArray.Record.twoArgs->E.R.bind(Prepare.ToValueTuple.twoNumbers)
)
->E.A.R.firstErrorOrOpen
)
let expressionValue =
xyCoords
->E.R.bind(r => r->XYShape.T.makeFromZipped->E.R2.errMap(XYShape.Error.toString))
->E.R2.fmap(r => ReducerInterface_InternalExpressionValue.IEvDistribution(
PointSet(makeDist(r)),
))
expressionValue
}
let library = [
Function.make(
~name="makeContinuous",
~nameSpace,
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="makeContinuous",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
(),
),
],
(),
),
Function.make(
~name="makeDiscrete",
~nameSpace,
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="makeDiscrete",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
(),
),
],
(),
),
]

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@ -0,0 +1,90 @@
open FunctionRegistry_Core
let nameSpace = "Dist"
let requiresNamespace = false
let runScoring = (estimate, answer, prior, env) => {
GenericDist.Score.logScore(~estimate, ~answer, ~prior, ~env)
->E.R2.fmap(FunctionRegistry_Helpers.Wrappers.evNumber)
->E.R2.errMap(DistributionTypes.Error.toString)
}
let library = [
Function.make(
~name="logScore",
~nameSpace,
~output=EvtNumber,
~examples=[
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)}, prior: normal(5.5,3)})",
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)}})",
"Dist.logScore({estimate: normal(5,2), answer: 4.5})",
],
~definitions=[
FnDefinition.make(
~requiresNamespace,
~name="logScore",
~inputs=[
FRTypeRecord([
("estimate", FRTypeDist),
("answer", FRTypeDistOrNumber),
("prior", FRTypeDist),
]),
],
~run=(_, inputs, env) => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.threeArgs(inputs) {
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueDist(d)), FRValueDist(prior)]) =>
runScoring(estimate, Score_Dist(d), Some(prior), env)
| Ok([
FRValueDist(estimate),
FRValueDistOrNumber(FRValueNumber(d)),
FRValueDist(prior),
]) =>
runScoring(estimate, Score_Scalar(d), Some(prior), env)
| Error(e) => Error(e)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
FnDefinition.make(
~name="logScore",
~requiresNamespace,
~inputs=[FRTypeRecord([("estimate", FRTypeDist), ("answer", FRTypeDistOrNumber)])],
~run=(_, inputs, env) => {
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs(inputs) {
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueDist(d))]) =>
runScoring(estimate, Score_Dist(d), None, env)
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueNumber(d))]) =>
runScoring(estimate, Score_Scalar(d), None, env)
| Error(e) => Error(e)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
],
(),
),
Function.make(
~name="klDivergence",
~nameSpace,
~output=EvtNumber,
~examples=["Dist.klDivergence(normal(5,2), normal(5,1.5)"],
~definitions=[
FnDefinition.make(
~name="klDivergence",
~requiresNamespace,
~inputs=[FRTypeDist, FRTypeDist],
~run=(_, inputs, env) => {
switch inputs {
| [FRValueDist(estimate), FRValueDist(d)] =>
runScoring(estimate, Score_Dist(d), None, env)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
],
(),
),
]