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Merge pull request #821 from quantified-uncertainty/namespace-integration

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Adds module namespace support to Function Registry
This commit is contained in:
Ozzie Gooen 2022-07-19 08:20:28 -07:00 committed by GitHub
commit 12ac2f551b
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GPG Key ID: 4AEE18F83AFDEB23
15 changed files with 1141 additions and 683 deletions
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1
packages/components/src/components/SquigglePlayground.tsx
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@ -529,7 +529,6 @@ export const SquigglePlayground: FC<PlaygroundProps> = ({
const withoutEditor = <div className="mt-3">{tabs}</div>;
console.log(vars);
return (
<SquiggleContainer>
<StyledTab.Group>

80
packages/squiggle-lang/__tests__/SquiggleLibrary/SquiggleLibrary_FunctionRegistryLibrary_test.res Normal file
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@ -0,0 +1,80 @@
open Jest
open Expect
open Reducer_TestHelpers
let expectEvalToBeOk = (expr: string) =>
Reducer.evaluate(expr)->Reducer_Helpers.rRemoveDefaultsExternal->E.R.isOk->expect->toBe(true)
let registry = FunctionRegistry_Library.registry
let examples = E.A.to_list(FunctionRegistry_Core.Registry.allExamples(registry))
describe("FunctionRegistry Library", () => {
describe("Regular tests", () => {
testEvalToBe("List.make(3, 'HI')", "Ok(['HI','HI','HI'])")
testEvalToBe("make(3, 'HI')", "Error(Function not found: make(Number,String))")
testEvalToBe("List.upTo(1,3)", "Ok([1,2,3])")
testEvalToBe("List.first([3,5,8])", "Ok(3)")
testEvalToBe("List.last([3,5,8])", "Ok(8)")
testEvalToBe("List.reverse([3,5,8])", "Ok([8,5,3])")
testEvalToBe("Dist.normal(5,2)", "Ok(Normal(5,2))")
testEvalToBe("normal(5,2)", "Ok(Normal(5,2))")
testEvalToBe("normal({mean:5,stdev:2})", "Ok(Normal(5,2))")
testEvalToBe("-2 to 4", "Ok(Normal(1,1.8238704957353074))")
testEvalToBe("pointMass(5)", "Ok(PointMass(5))")
testEvalToBe("Number.floor(5.5)", "Ok(5)")
testEvalToBe("Number.ceil(5.5)", "Ok(6)")
testEvalToBe("floor(5.5)", "Ok(5)")
testEvalToBe("ceil(5.5)", "Ok(6)")
testEvalToBe("Number.abs(5.5)", "Ok(5.5)")
testEvalToBe("abs(5.5)", "Ok(5.5)")
testEvalToBe("Number.exp(10)", "Ok(22026.465794806718)")
testEvalToBe("Number.log10(10)", "Ok(1)")
testEvalToBe("Number.log2(10)", "Ok(3.321928094887362)")
testEvalToBe("Number.sum([2,5,3])", "Ok(10)")
testEvalToBe("sum([2,5,3])", "Ok(10)")
testEvalToBe("Number.product([2,5,3])", "Ok(30)")
testEvalToBe("Number.min([2,5,3])", "Ok(2)")
testEvalToBe("Number.max([2,5,3])", "Ok(5)")
testEvalToBe("Number.mean([0,5,10])", "Ok(5)")
testEvalToBe("Number.geomean([1,5,18])", "Ok(4.481404746557164)")
testEvalToBe("Number.stdev([0,5,10,15])", "Ok(5.5901699437494745)")
testEvalToBe("Number.variance([0,5,10,15])", "Ok(31.25)")
testEvalToBe("Number.sort([10,0,15,5])", "Ok([0,5,10,15])")
testEvalToBe("Number.cumsum([1,5,3])", "Ok([1,6,9])")
testEvalToBe("Number.cumprod([1,5,3])", "Ok([1,5,15])")
testEvalToBe("Number.diff([1,5,3])", "Ok([4,-2])")
testEvalToBe(
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1), prior: normal(5.5,3)})",
"Ok(-0.33591375663884876)",
)
testEvalToBe(
"Dist.logScore({estimate: normal(5,2), answer: normal(5.2,1)})",
"Ok(0.32244107041564646)",
)
testEvalToBe("Dist.logScore({estimate: normal(5,2), answer: 4.5})", "Ok(1.6433360626394853)")
testEvalToBe("Dist.klDivergence(normal(5,2), normal(5,1.5))", "Ok(0.06874342818671068)")
})
describe("Fn auto-testing", () => {
testAll("tests of validity", examples, r => {
expectEvalToBeOk(r)
})
testAll(
"tests of type",
E.A.to_list(
FunctionRegistry_Core.Registry.allExamplesWithFns(registry)->E.A2.filter(((fn, _)) =>
E.O.isSome(fn.output)
),
),
((fn, example)) => {
let responseType =
example
->Reducer.evaluate
->E.R2.fmap(ReducerInterface_InternalExpressionValue.externalValueToValueType)
let expectedOutputType = fn.output |> E.O.toExn("")
expect(responseType)->toEqual(Ok(expectedOutputType))
},
)
})
})

120
packages/squiggle-lang/src/rescript/FunctionRegistry/FunctionRegistry_Core.res
View File

@ -1,4 +1,5 @@
type internalExpressionValue = ReducerInterface_InternalExpressionValue.t
type internalExpressionValueType = ReducerInterface_InternalExpressionValue.internalExpressionValueType
/*
Function Registry "Type". A type, without any other information.
@ -42,18 +43,26 @@ and frValueDistOrNumber = FRValueNumber(float) | FRValueDist(DistributionTypes.g
type fnDefinition = {
name: string,
inputs: array<frType>,
run: (array<frValue>, GenericDist.env) => result<internalExpressionValue, string>,
run: (
array<internalExpressionValue>,
array<frValue>,
GenericDist.env,
) => result<internalExpressionValue, string>,
}
type function = {
name: string,
definitions: array<fnDefinition>,
examples: option<string>,
requiresNamespace: bool,
nameSpace: string,
output: option<internalExpressionValueType>,
examples: array<string>,
description: option<string>,
isExperimental: bool,
}
type registry = array<function>
type fnNameDict = Js.Dict.t<array<function>>
type registry = {functions: array<function>, fnNameDict: fnNameDict}
module FRType = {
type t = frType
@ -265,7 +274,7 @@ module Matcher = {
module Registry = {
let _findExactMatches = (r: registry, fnName: string, args: array<internalExpressionValue>) => {
let functionMatchPairs = r->E.A2.fmap(l => (l, Function.match(l, fnName, args)))
let functionMatchPairs = r.functions->E.A2.fmap(l => (l, Function.match(l, fnName, args)))
let fullMatch = functionMatchPairs->E.A.getBy(((_, match)) => Match.isFullMatch(match))
fullMatch->E.O.bind(((fn, match)) =>
switch match {
@ -276,7 +285,7 @@ module Matcher = {
}
let _findNameMatches = (r: registry, fnName: string, args: array<internalExpressionValue>) => {
let functionMatchPairs = r->E.A2.fmap(l => (l, Function.match(l, fnName, args)))
let functionMatchPairs = r.functions->E.A2.fmap(l => (l, Function.match(l, fnName, args)))
let getNameMatches =
functionMatchPairs
->E.A2.fmap(((fn, match)) => Match.isNameMatchOnly(match) ? Some((fn, match)) : None)
@ -295,10 +304,13 @@ module Matcher = {
}
let findMatches = (r: registry, fnName: string, args: array<internalExpressionValue>) => {
switch _findExactMatches(r, fnName, args) {
let fnNameInParts = Js.String.split(".", fnName)
let fnToSearch = E.A.get(fnNameInParts, 1) |> E.O.default(fnNameInParts[0])
switch _findExactMatches(r, fnToSearch, args) {
| Some(r) => Match.FullMatch(r)
| None =>
switch _findNameMatches(r, fnName, args) {
switch _findNameMatches(r, fnToSearch, args) {
| Some(r) => Match.SameNameDifferentArguments(r)
| None => Match.DifferentName
}
@ -308,7 +320,7 @@ module Matcher = {
let matchToDef = (registry: registry, {fnName, inputIndex}: RegistryMatch.match): option<
fnDefinition,
> =>
registry
registry.functions
->E.A.getBy(fn => fn.name === fnName)
->E.O.bind(fn => E.A.get(fn.definitions, inputIndex))
}
@ -322,15 +334,23 @@ module FnDefinition = {
t.name ++ `(${inputs})`
}
let isMatch = (t: t, args: array<internalExpressionValue>) => {
let argValues = FRType.matchWithExpressionValueArray(t.inputs, args)
switch argValues {
| Some(_) => true
| None => false
}
}
let run = (t: t, args: array<internalExpressionValue>, env: GenericDist.env) => {
let argValues = FRType.matchWithExpressionValueArray(t.inputs, args)
switch argValues {
| Some(values) => t.run(values, env)
| Some(values) => t.run(args, values, env)
| None => Error("Incorrect Types")
}
}
let make = (~name, ~inputs, ~run): t => {
let make = (~name, ~inputs, ~run, ()): t => {
name: name,
inputs: inputs,
run: run,
@ -343,16 +363,29 @@ module Function = {
type functionJson = {
name: string,
definitions: array<string>,
examples: option<string>,
examples: array<string>,
description: option<string>,
isExperimental: bool,
}
let make = (~name, ~definitions, ~examples=?, ~description=?, ~isExperimental=false, ()): t => {
let make = (
~name,
~nameSpace,
~requiresNamespace,
~definitions,
~examples=?,
~output=?,
~description=?,
~isExperimental=false,
(),
): t => {
name: name,
nameSpace: nameSpace,
definitions: definitions,
examples: examples,
output: output,
examples: examples |> E.O.default([]),
isExperimental: isExperimental,
requiresNamespace: requiresNamespace,
description: description,
}
@ -365,22 +398,64 @@ module Function = {
}
}
module NameSpace = {
type t = {name: string, functions: array<function>}
let definitions = (t: t) => t.functions->E.A2.fmap(f => f.definitions)->E.A.concatMany
let uniqueFnNames = (t: t) => definitions(t)->E.A2.fmap(r => r.name)->E.A.uniq
let nameToDefinitions = (t: t, name: string) => definitions(t)->E.A2.filter(r => r.name == name)
}
module Registry = {
let toJson = (r: registry) => r->E.A2.fmap(Function.toJson)
let toJson = (r: registry) => r.functions->E.A2.fmap(Function.toJson)
let allExamples = (r: registry) => r.functions->E.A2.fmap(r => r.examples)->E.A.concatMany
let allExamplesWithFns = (r: registry) =>
r.functions->E.A2.fmap(fn => fn.examples->E.A2.fmap(example => (fn, example)))->E.A.concatMany
let _buildFnNameDict = (r: array<function>): fnNameDict => {
let allDefinitionsWithFns =
r
->E.A2.fmap(fn => fn.definitions->E.A2.fmap(definitions => (fn, definitions)))
->E.A.concatMany
let functionsWithFnNames =
allDefinitionsWithFns
->E.A2.fmap(((fn, def)) => {
let nameWithNamespace = `${fn.nameSpace}.${def.name}`
let nameWithoutNamespace = def.name
fn.requiresNamespace
? [(nameWithNamespace, fn)]
: [(nameWithNamespace, fn), (nameWithoutNamespace, fn)]
})
->E.A.concatMany
let uniqueNames = functionsWithFnNames->E.A2.fmap(((name, _)) => name)->E.A.uniq
let cacheAsArray: array<(string, array<function>)> = uniqueNames->E.A2.fmap(uniqueName => {
let relevantItems =
E.A2.filter(functionsWithFnNames, ((defName, _)) => defName == uniqueName)->E.A2.fmap(
E.Tuple2.second,
)
(uniqueName, relevantItems)
})
cacheAsArray->Js.Dict.fromArray
}
let make = (fns: array<function>): registry => {
let dict = _buildFnNameDict(fns)
{functions: fns, fnNameDict: dict}
}
/*
There's a (potential+minor) bug here: If a function definition is called outside of the calls
to the registry, then it's possible that there could be a match after the registry is
called. However, for now, we could just call the registry last.
*/
let matchAndRun = (
let _matchAndRun = (
~registry: registry,
~fnName: string,
~args: array<internalExpressionValue>,
~env: GenericDist.env,
) => {
let relevantFunctions = Js.Dict.get(registry.fnNameDict, fnName) |> E.O.default([])
let modified = {functions: relevantFunctions, fnNameDict: registry.fnNameDict}
let matchToDef = m => Matcher.Registry.matchToDef(registry, m)
//Js.log(toSimple(registry))
let showNameMatchDefinitions = matches => {
let defs =
matches
@ -391,10 +466,21 @@ module Registry = {
->E.A2.joinWith("; ")
`There are function matches for ${fnName}(), but with different arguments: ${defs}`
}
switch Matcher.Registry.findMatches(registry, fnName, args) {
switch Matcher.Registry.findMatches(modified, fnName, args) {
| Matcher.Match.FullMatch(match) => match->matchToDef->E.O2.fmap(FnDefinition.run(_, args, env))
| SameNameDifferentArguments(m) => Some(Error(showNameMatchDefinitions(m)))
| _ => None
}
}
let dispatch = (
registry,
(fnName, args): ReducerInterface_InternalExpressionValue.functionCall,
env,
) => {
_matchAndRun(~registry, ~fnName, ~args, ~env)->E.O2.fmap(
E.R2.errMap(_, s => Reducer_ErrorValue.RETodo(s)),
)
}
}

69
packages/squiggle-lang/src/rescript/FunctionRegistry/FunctionRegistry_Helpers.res
View File

@ -213,72 +213,3 @@ module Process = {
twoValues(~fn=Helpers.wrapSymbolic(fn), ~values)
}
}
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(~name, ~inputs=[FRTypeDistOrNumber, FRTypeDistOrNumber], ~run=(inputs, env) =>
inputs->Prepare.ToValueTuple.twoDistOrNumber->process(~fn, ~env)
)
}
let makeRecordP5P95 = (name, fn) => {
FnDefinition.make(
~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,
~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(~name, ~inputs=[FRTypeDistOrNumber], ~run=(inputs, env) =>
inputs->Prepare.ToValueTuple.oneDistOrNumber->process(~fn, ~env)
)
}
module ArrayNumberDist = {
let make = (name, fn) => {
FnDefinition.make(~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)
)
}
}
module NumberToNumber = {
let make = (name, fn) =>
FnDefinition.make(~name, ~inputs=[FRTypeNumber], ~run=(inputs, _) => {
inputs
->getOrError(0)
->E.R.bind(Prepare.oneNumber)
->E.R2.fmap(fn)
->E.R2.fmap(Wrappers.evNumber)
})
}

586
packages/squiggle-lang/src/rescript/FunctionRegistry/FunctionRegistry_Library.res
View File

@ -1,576 +1,12 @@
open FunctionRegistry_Core
open FunctionRegistry_Helpers
let fnList = Belt.Array.concatMany([
FR_Dict.library,
FR_Dist.library,
FR_Fn.library,
FR_List.library,
FR_Number.library,
FR_Pointset.library,
FR_Scoring.library,
])
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)
}
}
}
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 registryStart = [
Function.make(
~name="toContinuousPointSet",
~definitions=[
FnDefinition.make(
~name="toContinuousPointSet",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
),
],
(),
),
Function.make(
~name="toDiscretePointSet",
~definitions=[
FnDefinition.make(
~name="toDiscretePointSet",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
),
],
(),
),
Function.make(
~name="Declaration",
~definitions=[
FnDefinition.make(~name="declareFn", ~inputs=[Declaration.frType], ~run=(inputs, _) => {
inputs->getOrError(0)->E.R.bind(Declaration.fromExpressionValue)
}),
],
(),
),
Function.make(
~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)),
],
(),
),
Function.make(
~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)),
],
(),
),
Function.make(
~name="Uniform",
~examples=`uniform(10, 12)`,
~definitions=[TwoArgDist.make("uniform", twoArgs(SymbolicDist.Uniform.make))],
(),
),
Function.make(
~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)),
],
(),
),
Function.make(
~name="Cauchy",
~examples=`cauchy(5, 1)`,
~definitions=[TwoArgDist.make("cauchy", twoArgs(SymbolicDist.Cauchy.make))],
(),
),
Function.make(
~name="Gamma",
~examples=`gamma(5, 1)`,
~definitions=[TwoArgDist.make("gamma", twoArgs(SymbolicDist.Gamma.make))],
(),
),
Function.make(
~name="Logistic",
~examples=`gamma(5, 1)`,
~definitions=[TwoArgDist.make("logistic", twoArgs(SymbolicDist.Logistic.make))],
(),
),
Function.make(
~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),
),
],
(),
),
Function.make(
~name="Exponential",
~examples=`exponential(2)`,
~definitions=[OneArgDist.make("exponential", SymbolicDist.Exponential.make)],
(),
),
Function.make(
~name="Bernoulli",
~examples=`bernoulli(0.5)`,
~definitions=[OneArgDist.make("bernoulli", SymbolicDist.Bernoulli.make)],
(),
),
Function.make(
~name="PointMass",
~examples=`pointMass(0.5)`,
~definitions=[OneArgDist.make("pointMass", SymbolicDist.Float.makeSafe)],
(),
),
Function.make(
~name="toContinuousPointSet",
~description="Converts a set of points to a continuous distribution",
~examples=`toContinuousPointSet([
{x: 0, y: 0.1},
{x: 1, y: 0.2},
{x: 2, y: 0.15},
{x: 3, y: 0.1}
])`,
~definitions=[
FnDefinition.make(
~name="toContinuousPointSet",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
),
],
(),
),
Function.make(
~name="toDiscretePointSet",
~description="Converts a set of points to a discrete distribution",
~examples=`toDiscretePointSet([
{x: 0, y: 0.1},
{x: 1, y: 0.2},
{x: 2, y: 0.15},
{x: 3, y: 0.1}
])`,
~definitions=[
FnDefinition.make(
~name="toDiscretePointSet",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
),
],
(),
),
Function.make(
~name="Declaration (Continuous Function)",
~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}
]
})`,
~definitions=[
FnDefinition.make(~name="declareFn", ~inputs=[Declaration.frType], ~run=(inputs, _) => {
inputs->E.A.unsafe_get(0)->Declaration.fromExpressionValue
}),
],
~isExperimental=true,
(),
),
Function.make(
~name="Floor",
~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)],
(),
),
Function.make(
~name="Ceiling",
~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)],
(),
),
Function.make(
~name="Absolute Value",
~definitions=[NumberToNumber.make("abs", Js.Math.abs_float)],
(),
),
Function.make(~name="Exponent", ~definitions=[NumberToNumber.make("exp", Js.Math.exp)], ()),
Function.make(~name="Log", ~definitions=[NumberToNumber.make("log", Js.Math.log)], ()),
Function.make(
~name="Log Base 10",
~definitions=[NumberToNumber.make("log10", Js.Math.log10)],
(),
),
Function.make(~name="Log Base 2", ~definitions=[NumberToNumber.make("log2", Js.Math.log2)], ()),
Function.make(~name="Round", ~definitions=[NumberToNumber.make("round", Js.Math.round)], ()),
Function.make(
~name="Sum",
~definitions=[ArrayNumberDist.make("sum", r => r->E.A.Floats.sum->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="Product",
~definitions=[
ArrayNumberDist.make("product", r => r->E.A.Floats.product->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="Min",
~definitions=[ArrayNumberDist.make("min", r => r->E.A.Floats.min->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="Max",
~definitions=[ArrayNumberDist.make("max", r => r->E.A.Floats.max->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="Mean",
~definitions=[ArrayNumberDist.make("mean", r => r->E.A.Floats.mean->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="Geometric Mean",
~definitions=[
ArrayNumberDist.make("geomean", r => r->E.A.Floats.geomean->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="Standard Deviation",
~definitions=[ArrayNumberDist.make("stdev", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok)],
(),
),
Function.make(
~name="Variance",
~definitions=[
ArrayNumberDist.make("variance", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="First",
~definitions=[
ArrayNumberDist.make2("first", r =>
r->E.A.first |> E.O.toResult(impossibleError) |> E.R.fmap(Wrappers.evNumber)
),
],
(),
),
Function.make(
~name="Last",
~definitions=[
ArrayNumberDist.make2("last", r =>
r->E.A.last |> E.O.toResult(impossibleError) |> E.R.fmap(Wrappers.evNumber)
),
],
(),
),
Function.make(
~name="Sort",
~definitions=[
ArrayNumberDist.make("sort", r =>
r->E.A.Floats.sort->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="Reverse",
~definitions=[
ArrayNumberDist.make("reverse", r =>
r->Belt_Array.reverse->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="Cumulative Sum",
~definitions=[
ArrayNumberDist.make("cumsum", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="Cumulative Prod",
~definitions=[
ArrayNumberDist.make("cumprod", r =>
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="Diff",
~definitions=[
ArrayNumberDist.make("diff", r =>
r->E.A.Floats.diff->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="Dict.merge",
~definitions=[
FnDefinition.make(
~name="merge",
~inputs=[FRTypeDict(FRTypeAny), FRTypeDict(FRTypeAny)],
~run=(inputs, _) => {
switch inputs {
| [FRValueDict(d1), FRValueDict(d2)] => {
let newDict =
E.Dict.concat(d1, d2) |> Js.Dict.map((. r) =>
FunctionRegistry_Core.FRType.matchReverse(r)
)
newDict->Js.Dict.entries->Belt.Map.String.fromArray->Wrappers.evRecord->Ok
}
| _ => Error(impossibleError)
}
},
),
],
(),
),
//TODO: Make sure that two functions can't have the same name. This causes chaos elsewhere.
Function.make(
~name="Dict.mergeMany",
~definitions=[
FnDefinition.make(~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="Dict.keys",
~definitions=[
FnDefinition.make(~name="keys", ~inputs=[FRTypeDict(FRTypeAny)], ~run=(inputs, _) =>
switch inputs {
| [FRValueDict(d1)] => Js.Dict.keys(d1)->E.A2.fmap(Wrappers.evString)->Wrappers.evArray->Ok
| _ => Error(impossibleError)
}
),
],
(),
),
Function.make(
~name="Dict.values",
~definitions=[
FnDefinition.make(~name="values", ~inputs=[FRTypeDict(FRTypeAny)], ~run=(inputs, _) =>
switch inputs {
| [FRValueDict(d1)] =>
Js.Dict.values(d1)
->E.A2.fmap(FunctionRegistry_Core.FRType.matchReverse)
->Wrappers.evArray
->Ok
| _ => Error(impossibleError)
}
),
],
(),
),
Function.make(
~name="Dict.toList",
~definitions=[
FnDefinition.make(~name="dictToList", ~inputs=[FRTypeDict(FRTypeAny)], ~run=(inputs, _) =>
switch inputs {
| [FRValueDict(dict)] =>
dict
->Js.Dict.entries
->E.A2.fmap(((key, value)) =>
Wrappers.evArray([
Wrappers.evString(key),
FunctionRegistry_Core.FRType.matchReverse(value),
])
)
->Wrappers.evArray
->Ok
| _ => Error(impossibleError)
}
),
],
(),
),
Function.make(
~name="Dict.fromList",
~definitions=[
FnDefinition.make(~name="dictFromList", ~inputs=[FRTypeArray(FRTypeArray(FRTypeAny))], ~run=(
inputs,
_,
) => {
let convertInternalItems = items =>
items
->E.A2.fmap(item => {
switch item {
| [FRValueString(string), value] =>
(string, FunctionRegistry_Core.FRType.matchReverse(value))->Ok
| _ => Error(impossibleError)
}
})
->E.A.R.firstErrorOrOpen
->E.R2.fmap(Belt.Map.String.fromArray)
->E.R2.fmap(Wrappers.evRecord)
inputs->getOrError(0)->E.R.bind(Prepare.ToValueArray.Array.arrayOfArrays)
|> E.R2.bind(convertInternalItems)
}),
],
(),
),
Function.make(
~name="List.make",
~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(~name="listMake", ~inputs=[FRTypeNumber, FRTypeAny], ~run=(inputs, _) => {
switch inputs {
| [FRValueNumber(number), value] =>
Belt.Array.make(E.Float.toInt(number), value)
->E.A2.fmap(FunctionRegistry_Core.FRType.matchReverse)
->Wrappers.evArray
->Ok
| _ => Error(impossibleError)
}
}),
],
(),
),
Function.make(
~name="upTo",
~definitions=[
FnDefinition.make(~name="upTo", ~inputs=[FRTypeNumber, FRTypeNumber], ~run=(inputs, _) =>
inputs
->Prepare.ToValueTuple.twoNumbers
->E.R2.fmap(((low, high)) =>
E.A.Floats.range(low, high, (high -. low +. 1.0)->E.Float.toInt)
->E.A2.fmap(Wrappers.evNumber)
->Wrappers.evArray
)
),
],
(),
),
]
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 scoreFunctions = [
Function.make(
~name="Score",
~definitions=[
FnDefinition.make(
~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",
~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)
}
},
),
FnDefinition.make(~name="klDivergence", ~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 = E.A.append(registryStart, scoreFunctions)
let registry = FunctionRegistry_Core.Registry.make(fnList)
let dispatch = FunctionRegistry_Core.Registry.dispatch(registry)

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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,
~requiresNamespace=true,
~output=EvtRecord,
~examples=[`Dict.merge({a: 1, b: 2}, {c: 3, d: 4})`],
~definitions=[
FnDefinition.make(
~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,
~requiresNamespace=true,
~output=EvtRecord,
~examples=[`Dict.mergeMany([{a: 1, b: 2}, {c: 3, d: 4}])`],
~definitions=[
FnDefinition.make(
~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,
~requiresNamespace=true,
~output=EvtArray,
~examples=[`Dict.keys({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~name="keys",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.keys(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="values",
~nameSpace,
~requiresNamespace=true,
~output=EvtArray,
~examples=[`Dict.values({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~name="values",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(d1)] => Internals.values(d1)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="toList",
~nameSpace,
~requiresNamespace=true,
~output=EvtArray,
~examples=[`Dict.toList({a: 1, b: 2})`],
~definitions=[
FnDefinition.make(
~name="toList",
~inputs=[FRTypeDict(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvRecord(dict)] => dict->Internals.toList->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="fromList",
~nameSpace,
~requiresNamespace=true,
~output=EvtRecord,
~examples=[`Dict.fromList([["a", 1], ["b", 2]])`],
~definitions=[
FnDefinition.make(
~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 requiresNamespace = false
let fnMake = (~name, ~examples, ~definitions) => {
Function.make(~name, ~nameSpace, ~output, ~examples, ~definitions, ~requiresNamespace, ())
}
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(
~name,
~inputs=[FRTypeDistOrNumber, FRTypeDistOrNumber],
~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.twoDistOrNumber->process(~fn, ~env),
(),
)
}
let makeRecordP5P95 = (name, fn) => {
FnDefinition.make(
~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,
~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(
~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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packages/squiggle-lang/src/rescript/FunctionRegistry/Library/FR_Fn.res Normal file
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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,
~requiresNamespace=true,
~output=EvtDeclaration,
~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=[
`Function.declare({
fn: {|a,b| a },
inputs: [
{min: 0, max: 100},
{min: 30, max: 50}
]
})`,
],
~isExperimental=true,
~definitions=[
FnDefinition.make(
~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,
~requiresNamespace,
~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(
~name="make",
~inputs=[FRTypeNumber, FRTypeAny],
~run=(inputs, _, _) => {
switch inputs {
| [IEvNumber(number), value] => Internals.makeFromNumber(number, value)->Ok
| _ => Error(impossibleError)
}
},
(),
),
],
(),
),
Function.make(
~name="upTo",
~nameSpace,
~requiresNamespace,
~output=EvtArray,
~examples=[`List.upTo(1,4)`],
~definitions=[
FnDefinition.make(
~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,
~requiresNamespace,
~examples=[`List.first([1,4,5])`],
~definitions=[
FnDefinition.make(
~name="first",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.first(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="last",
~nameSpace,
~requiresNamespace,
~examples=[`List.last([1,4,5])`],
~definitions=[
FnDefinition.make(
~name="last",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.last(array)
| _ => Error(impossibleError)
},
(),
),
],
(),
),
Function.make(
~name="reverse",
~nameSpace,
~output=EvtArray,
~requiresNamespace=false,
~examples=[`List.reverse([1,4,5])`],
~definitions=[
FnDefinition.make(
~name="reverse",
~inputs=[FRTypeArray(FRTypeAny)],
~run=(inputs, _, _) =>
switch inputs {
| [IEvArray(array)] => Internals.reverse(array)->Ok
| _ => Error(impossibleError)
},
(),
),
],
(),
),
]

251
packages/squiggle-lang/src/rescript/FunctionRegistry/Library/FR_Number.res Normal file
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@ -0,0 +1,251 @@
open FunctionRegistry_Core
open FunctionRegistry_Helpers
let nameSpace = "Number"
let requiresNamespace = false
module NumberToNumber = {
let make = (name, fn) =>
FnDefinition.make(
~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(
~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,
~requiresNamespace,
~output=EvtNumber,
~examples=[`floor(3.5)`],
~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)],
(),
),
Function.make(
~name="ceiling",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`ceil(3.5)`],
~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)],
(),
),
Function.make(
~name="absolute value",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`abs(3.5)`],
~definitions=[NumberToNumber.make("abs", Js.Math.abs_float)],
(),
),
Function.make(
~name="exponent",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`exp(3.5)`],
~definitions=[NumberToNumber.make("exp", Js.Math.exp)],
(),
),
Function.make(
~name="log",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`log(3.5)`],
~definitions=[NumberToNumber.make("log", Js.Math.log)],
(),
),
Function.make(
~name="log base 10",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`log10(3.5)`],
~definitions=[NumberToNumber.make("log10", Js.Math.log10)],
(),
),
Function.make(
~name="log base 2",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`log2(3.5)`],
~definitions=[NumberToNumber.make("log2", Js.Math.log2)],
(),
),
Function.make(
~name="round",
~nameSpace,
~requiresNamespace,
~output=EvtNumber,
~examples=[`round(3.5)`],
~definitions=[NumberToNumber.make("round", Js.Math.round)],
(),
),
Function.make(
~name="sum",
~nameSpace,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~output=EvtNumber,
~examples=[`variance([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("variance", r => r->E.A.Floats.variance->Wrappers.evNumber->Ok),
],
(),
),
Function.make(
~name="sort",
~nameSpace,
~requiresNamespace,
~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,
~requiresNamespace,
~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,
~requiresNamespace,
~output=EvtArray,
~examples=[`cumprod([3,5,2,3,5])`],
~definitions=[
ArrayNumberDist.make("cumprod", r =>
r->E.A.Floats.cumProd->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
),
],
(),
),
Function.make(
~name="diff",
~nameSpace,
~requiresNamespace,
~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
),
],
(),
),
]

73
packages/squiggle-lang/src/rescript/FunctionRegistry/Library/FR_Pointset.res Normal file
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@ -0,0 +1,73 @@
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,
~requiresNamespace,
~examples=[
`Pointset.makeContinuous([
{x: 0, y: 0.2},
{x: 1, y: 0.7},
{x: 2, y: 0.8},
{x: 3, y: 0.2}
])`,
],
~output=ReducerInterface_InternalExpressionValue.EvtDistribution,
~definitions=[
FnDefinition.make(
~name="makeContinuous",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
(),
),
],
(),
),
Function.make(
~name="makeDiscrete",
~nameSpace,
~requiresNamespace,
~examples=[
`Pointset.makeDiscrete([
{x: 0, y: 0.2},
{x: 1, y: 0.7},
{x: 2, y: 0.8},
{x: 3, y: 0.2}
])`,
],
~output=ReducerInterface_InternalExpressionValue.EvtDistribution,
~definitions=[
FnDefinition.make(
~name="makeDiscrete",
~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
~run=(_, inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
(),
),
],
(),
),
]

89
packages/squiggle-lang/src/rescript/FunctionRegistry/Library/FR_Scoring.res Normal file
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@ -0,0 +1,89 @@
open FunctionRegistry_Core
let nameSpace = "Dist"
let requiresNamespace = true
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,
~requiresNamespace,
~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(
~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",
~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,
~requiresNamespace,
~examples=["Dist.klDivergence(normal(5,2), normal(5,1.5))"],
~definitions=[
FnDefinition.make(
~name="klDivergence",
~inputs=[FRTypeDist, FRTypeDist],
~run=(_, inputs, env) => {
switch inputs {
| [FRValueDist(estimate), FRValueDist(d)] =>
runScoring(estimate, Score_Dist(d), None, env)
| _ => Error(FunctionRegistry_Helpers.impossibleError)
}
},
(),
),
],
(),
),
]

22
packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_ExternalLibrary.res
View File

@ -1,28 +1,9 @@
module InternalExpressionValue = ReducerInterface_InternalExpressionValue
type internalExpressionValue = InternalExpressionValue.t
// module Sample = {
// // In real life real libraries should be somewhere else
// /*
// For an example of mapping polymorphic custom functions. To be deleted after real integration
// */
// let customAdd = (a: float, b: float): float => {a +. b}
// }
/*
Map external calls of Reducer
*/
// I expect that it's important to build this first, so it doesn't get recalculated for each tryRegistry() call.
let registry = FunctionRegistry_Library.registry
let tryRegistry = ((fnName, args): InternalExpressionValue.functionCall, env) => {
FunctionRegistry_Core.Registry.matchAndRun(~registry, ~fnName, ~args, ~env)->E.O2.fmap(
E.R2.errMap(_, s => Reducer_ErrorValue.RETodo(s)),
)
}
let dispatch = (call: InternalExpressionValue.functionCall, environment, reducer, chain): result<
internalExpressionValue,
'e,
@ -32,9 +13,10 @@ let dispatch = (call: InternalExpressionValue.functionCall, environment, reducer
() => ReducerInterface_Date.dispatch(call, environment),
() => ReducerInterface_Duration.dispatch(call, environment),
() => ReducerInterface_Number.dispatch(call, environment),
() => tryRegistry(call, environment),
() => FunctionRegistry_Library.dispatch(call, environment),
])->E.O2.default(chain(call, environment, reducer))
}
/*
If your dispatch is too big you can divide it into smaller dispatches and pass the call so that it gets called finally.

20
packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_InternalExpressionValue.res
View File

@ -160,6 +160,26 @@ let valueToValueType = value =>
| IEvTypeIdentifier(_) => EvtTypeIdentifier
}
let externalValueToValueType = (value: ExternalExpressionValue.t) =>
switch value {
| EvArray(_) => EvtArray
| EvArrayString(_) => EvtArrayString
| EvBool(_) => EvtBool
| EvCall(_) => EvtCall
| EvDate(_) => EvtDate
| EvDeclaration(_) => EvtDeclaration
| EvDistribution(_) => EvtDistribution
| EvLambda(_) => EvtLambda
| EvModule(_) => EvtModule
| EvNumber(_) => EvtNumber
| EvRecord(_) => EvtRecord
| EvString(_) => EvtString
| EvSymbol(_) => EvtSymbol
| EvTimeDuration(_) => EvtTimeDuration
| EvType(_) => EvtType
| EvTypeIdentifier(_) => EvtTypeIdentifier
}
let functionCallToCallSignature = (functionCall: functionCall): functionCallSignature => {
let (fn, args) = functionCall
CallSignature(fn, args->Js.Array2.map(valueToValueType))

2
packages/squiggle-lang/src/rescript/Utility/E.res
View File

@ -765,7 +765,7 @@ module A = {
let diff = (t: t): array<float> =>
Belt.Array.zipBy(t, Belt.Array.sliceToEnd(t, 1), (left, right) => right -. left)
let cumsum = (t: t): array<float> => accumulate((a, b) => a +. b, t)
let cumSum = (t: t): array<float> => accumulate((a, b) => a +. b, t)
let cumProd = (t: t): array<float> => accumulate((a, b) => a *. b, t)
exception RangeError(string)