squiggle/packages/squiggle-lang/src/rescript/FunctionRegistry/Library/FR_Dist.res

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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