diff --git a/packages/components/package.json b/packages/components/package.json index e8513982..e40f285f 100644 --- a/packages/components/package.json +++ b/packages/components/package.json @@ -31,9 +31,9 @@ "@testing-library/user-event": "^14.2.0", "@types/jest": "^27.5.0", "@types/lodash": "^4.14.182", - "@types/node": "^17.0.32", + "@types/node": "^17.0.33", "@types/react": "^18.0.9", - "@types/react-dom": "^18.0.2", + "@types/react-dom": "^18.0.4", "@types/styled-components": "^5.1.24", "@types/webpack": "^5.28.0", "cross-env": "^7.0.3", diff --git a/packages/components/src/components/FunctionChart.tsx b/packages/components/src/components/FunctionChart.tsx index 2fd4587d..242bf719 100644 --- a/packages/components/src/components/FunctionChart.tsx +++ b/packages/components/src/components/FunctionChart.tsx @@ -7,6 +7,8 @@ import { lambdaValue, environment, runForeign, + squiggleExpression, + errorValue, errorValueToString, } from "@quri/squiggle-lang"; import { createClassFromSpec } from "react-vega"; @@ -45,6 +47,104 @@ interface FunctionChartProps { environment: environment; } +type percentiles = { + x: number; + p1: number; + p5: number; + p10: number; + p20: number; + p30: number; + p40: number; + p50: number; + p60: number; + p70: number; + p80: number; + p90: number; + p95: number; + p99: number; +}[]; + +type errors = _.Dictionary< + { + x: number; + value: string; + }[] +>; + +type point = { x: number; value: result }; + +let getPercentiles = ({ chartSettings, fn, environment }) => { + let chartPointsToRender = _rangeByCount( + chartSettings.start, + chartSettings.stop, + chartSettings.count + ); + + let chartPointsData: point[] = chartPointsToRender.map((x) => { + let result = runForeign(fn, [x], environment); + if (result.tag === "Ok") { + if (result.value.tag == "distribution") { + return { x, value: { tag: "Ok", value: result.value.value } }; + } else { + return { + x, + value: { + tag: "Error", + value: + "Cannot currently render functions that don't return distributions", + }, + }; + } + } else { + return { + x, + value: { tag: "Error", value: errorValueToString(result.value) }, + }; + } + }); + + let initialPartition: [ + { x: number; value: Distribution }[], + { x: number; value: string }[] + ] = [[], []]; + + let [functionImage, errors] = chartPointsData.reduce((acc, current) => { + if (current.value.tag === "Ok") { + acc[0].push({ x: current.x, value: current.value.value }); + } else { + acc[1].push({ x: current.x, value: current.value.value }); + } + return acc; + }, initialPartition); + + let groupedErrors: errors = _.groupBy(errors, (x) => x.value); + + let percentiles: percentiles = functionImage.map(({ x, value }) => { + // We convert it to to a pointSet distribution first, so that in case its a sample set + // distribution, it doesn't internally convert it to a pointSet distribution for every + // single inv() call. + let toPointSet: Distribution = unwrap(value.toPointSet()); + return { + x: x, + p1: unwrap(toPointSet.inv(0.01)), + p5: unwrap(toPointSet.inv(0.05)), + p10: unwrap(toPointSet.inv(0.1)), + p20: unwrap(toPointSet.inv(0.2)), + p30: unwrap(toPointSet.inv(0.3)), + p40: unwrap(toPointSet.inv(0.4)), + p50: unwrap(toPointSet.inv(0.5)), + p60: unwrap(toPointSet.inv(0.6)), + p70: unwrap(toPointSet.inv(0.7)), + p80: unwrap(toPointSet.inv(0.8)), + p90: unwrap(toPointSet.inv(0.9)), + p95: unwrap(toPointSet.inv(0.95)), + p99: unwrap(toPointSet.inv(0.99)), + }; + }); + + return { percentiles, errors: groupedErrors }; +}; + export const FunctionChart: React.FC = ({ fn, chartSettings, @@ -58,7 +158,15 @@ export const FunctionChart: React.FC = ({ setMouseOverlay(NaN); } const signalListeners = { mousemove: handleHover, mouseout: handleOut }; - let mouseItem = runForeign(fn, [mouseOverlay], environment); + let mouseItem: result = !!mouseOverlay + ? runForeign(fn, [mouseOverlay], environment) + : { + tag: "Error", + value: { + tag: "REExpectedType", + value: "Hover x-coordinate returned NaN. Expected a number.", + }, + }; let showChart = mouseItem.tag === "Ok" && mouseItem.value.tag == "distribution" ? ( = ({ ) : ( <> ); - let data1 = _rangeByCount( - chartSettings.start, - chartSettings.stop, - chartSettings.count - ); - type point = { x: number; value: result }; - let valueData: point[] = React.useMemo( - () => - data1.map((x) => { - let result = runForeign(fn, [x], environment); - if (result.tag === "Ok") { - if (result.value.tag == "distribution") { - return { x, value: { tag: "Ok", value: result.value.value } }; - } else { - return { - x, - value: { - tag: "Error", - value: - "Cannot currently render functions that don't return distributions", - }, - }; - } - } else { - return { - x, - value: { tag: "Error", value: errorValueToString(result.value) }, - }; - } - }), + + let getPercentilesMemoized = React.useMemo( + () => getPercentiles({ chartSettings, fn, environment }), [environment, fn] ); - let initialPartition: [ - { x: number; value: Distribution }[], - { x: number; value: string }[] - ] = [[], []]; - let [functionImage, errors] = valueData.reduce((acc, current) => { - if (current.value.tag === "Ok") { - acc[0].push({ x: current.x, value: current.value.value }); - } else { - acc[1].push({ x: current.x, value: current.value.value }); - } - return acc; - }, initialPartition); - - let percentiles = functionImage.map(({ x, value }) => { - return { - x: x, - p1: unwrap(value.inv(0.01)), - p5: unwrap(value.inv(0.05)), - p10: unwrap(value.inv(0.12)), - p20: unwrap(value.inv(0.2)), - p30: unwrap(value.inv(0.3)), - p40: unwrap(value.inv(0.4)), - p50: unwrap(value.inv(0.5)), - p60: unwrap(value.inv(0.6)), - p70: unwrap(value.inv(0.7)), - p80: unwrap(value.inv(0.8)), - p90: unwrap(value.inv(0.9)), - p95: unwrap(value.inv(0.95)), - p99: unwrap(value.inv(0.99)), - }; - }); - - let groupedErrors = _.groupBy(errors, (x) => x.value); return ( <> {showChart} - {_.entries(groupedErrors).map(([errorName, errorPoints]) => ( - - Values:{" "} - {errorPoints - .map((r, i) => ) - .reduce((a, b) => ( - <> - {a}, {b} - - ))} - - ))} + {_.entries(getPercentilesMemoized.errors).map( + ([errorName, errorPoints]) => ( + + Values:{" "} + {errorPoints + .map((r, i) => ) + .reduce((a, b) => ( + <> + {a}, {b} + + ))} + + ) + )} ); }; diff --git a/packages/components/src/components/SquiggleChart.tsx b/packages/components/src/components/SquiggleChart.tsx index a54ac64d..ce562368 100644 --- a/packages/components/src/components/SquiggleChart.tsx +++ b/packages/components/src/components/SquiggleChart.tsx @@ -194,7 +194,10 @@ const SquiggleItem: React.FC = ({ ); } @@ -232,7 +235,8 @@ const ChartWrapper = styled.div` "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; `; -let defaultChartSettings = { start: 0, stop: 10, count: 100 }; +let defaultChartSettings = { start: 0, stop: 10, count: 20 }; + export const SquiggleChart: React.FC = ({ squiggleString = "", environment, diff --git a/packages/components/src/components/SquiggleEditor.tsx b/packages/components/src/components/SquiggleEditor.tsx index c4ac1876..a69f6ce2 100644 --- a/packages/components/src/components/SquiggleEditor.tsx +++ b/packages/components/src/components/SquiggleEditor.tsx @@ -56,7 +56,7 @@ export let SquiggleEditor: React.FC = ({ environment, diagramStart = 0, diagramStop = 10, - diagramCount = 100, + diagramCount = 20, onChange, bindings = defaultBindings, jsImports = defaultImports, diff --git a/packages/components/src/stories/SquiggleChart.stories.mdx b/packages/components/src/stories/SquiggleChart.stories.mdx index 54ed634d..9ad98ef0 100644 --- a/packages/components/src/stories/SquiggleChart.stories.mdx +++ b/packages/components/src/stories/SquiggleChart.stories.mdx @@ -153,6 +153,20 @@ to allow large and small numbers being printed cleanly. +## Functions + + + + {Template.bind({})} + + + ## Records diff --git a/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res b/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res index 571a838b..48bdcaa5 100644 --- a/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res +++ b/packages/squiggle-lang/__tests__/ReducerInterface/ReducerInterface_Distribution_test.res @@ -31,6 +31,9 @@ describe("eval on distribution functions", () => { testEval("mean(normal(5,2))", "Ok(5)") testEval("mean(lognormal(1,2))", "Ok(20.085536923187668)") testEval("mean(gamma(5,5))", "Ok(25)") + testEval("mean(bernoulli(0.2))", "Ok(0.2)") + testEval("mean(bernoulli(0.8))", "Ok(0.8)") + testEval("mean(logistic(5,1))", "Ok(5)") }) describe("toString", () => { testEval("toString(normal(5,2))", "Ok('Normal(5,2)')") diff --git a/packages/squiggle-lang/package.json b/packages/squiggle-lang/package.json index d21f2eb6..579a5f31 100644 --- a/packages/squiggle-lang/package.json +++ b/packages/squiggle-lang/package.json @@ -33,29 +33,29 @@ "Rescript" ], "author": "Quantified Uncertainty Research Institute", - "license": "MIT", "dependencies": { - "rescript": "^9.1.4", + "@stdlib/stats": "^0.0.13", "jstat": "^1.9.5", + "mathjs": "^10.5.2", "pdfast": "^0.2.0", - "mathjs": "^10.5.2" + "rescript": "^9.1.4" }, "devDependencies": { - "bisect_ppx": "^2.7.1", - "lodash": "^4.17.21", - "rescript-fast-check": "^1.1.1", "@glennsl/rescript-jest": "^0.9.0", "@istanbuljs/nyc-config-typescript": "^1.0.2", "@types/jest": "^27.5.0", "babel-plugin-transform-es2015-modules-commonjs": "^6.26.2", + "bisect_ppx": "^2.7.1", "chalk": "^5.0.1", "codecov": "^3.8.3", "fast-check": "^2.25.0", "gentype": "^4.3.0", "jest": "^27.5.1", + "lodash": "^4.17.21", "moduleserve": "^0.9.1", "nyc": "^15.1.0", "reanalyze": "^2.19.0", + "rescript-fast-check": "^1.1.1", "ts-jest": "^27.1.4", "ts-loader": "^9.3.0", "ts-node": "^10.7.0", diff --git a/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.res b/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.res index 1e2ff872..9af9917d 100644 --- a/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.res +++ b/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.res @@ -18,6 +18,7 @@ type outputType = | Dist(genericDist) | Float(float) | String(string) + | FloatArray(array) | Bool(bool) | GenDistError(error) diff --git a/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.resi b/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.resi index fffd011b..7941489e 100644 --- a/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.resi +++ b/packages/squiggle-lang/src/rescript/Distributions/DistributionOperation.resi @@ -14,6 +14,7 @@ type outputType = | Dist(genericDist) | Float(float) | String(string) + | FloatArray(array) | Bool(bool) | GenDistError(error) diff --git a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res index c925e39e..d1fcb9ef 100644 --- a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res +++ b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDist.res @@ -216,6 +216,50 @@ module Uniform = { } } +module Logistic = { + type t = logistic + let make = (location, scale) => + scale > 0.0 + ? Ok(#Logistic({location: location, scale: scale})) + : Error("Scale must be positive") + + let pdf = (x, t: t) => Stdlib.Logistic.pdf(x, t.location, t.scale) + let cdf = (x, t: t) => Stdlib.Logistic.cdf(x, t.location, t.scale) + let inv = (p, t: t) => Stdlib.Logistic.quantile(p, t.location, t.scale) + let sample = (t: t) => { + let s = Uniform.sample({low: 0.0, high: 1.0}) + inv(s, t) + } + let mean = (t: t) => Ok(Stdlib.Logistic.mean(t.location, t.scale)) + let toString = ({location, scale}: t) => j`Logistic($location,$scale)` +} + +module Bernoulli = { + type t = bernoulli + let make = p => + p >= 0.0 && p <= 1.0 + ? Ok(#Bernoulli({p: p})) + : Error("Bernoulli parameter must be between 0 and 1") + let pmf = (x, t: t) => Stdlib.Bernoulli.pmf(x, t.p) + + //Bernoulli is a discrete distribution, so it doesn't really have a pdf(). + //We fake this for now with the pmf function, but this should be fixed at some point. + let pdf = (x, t: t) => Stdlib.Bernoulli.pmf(x, t.p) + let cdf = (x, t: t) => Stdlib.Bernoulli.cdf(x, t.p) + let inv = (p, t: t) => Stdlib.Bernoulli.quantile(p, t.p) + let mean = (t: t) => Ok(Stdlib.Bernoulli.mean(t.p)) + let min = (t: t) => t.p == 1.0 ? 1.0 : 0.0 + let max = (t: t) => t.p == 0.0 ? 0.0 : 1.0 + let sample = (t: t) => { + let s = Uniform.sample({low: 0.0, high: 1.0}) + inv(s, t) + } + let toString = ({p}: t) => j`Bernoulli($p)` + let toPointSetDist = ({p}: t): PointSetTypes.pointSetDist => Discrete( + Discrete.make(~integralSumCache=Some(1.0), {xs: [0.0, 1.0], ys: [1.0 -. p, p]}), + ) +} + module Gamma = { type t = gamma let make = (shape: float, scale: float) => { @@ -252,6 +296,9 @@ module Float = { let mean = (t: t) => Ok(t) let sample = (t: t) => t let toString = (t: t) => j`Delta($t)` + let toPointSetDist = (t: t): PointSetTypes.pointSetDist => Discrete( + Discrete.make(~integralSumCache=Some(1.0), {xs: [t], ys: [1.0]}), + ) } module From90thPercentile = { @@ -275,9 +322,11 @@ module T = { | #Cauchy(n) => Cauchy.pdf(x, n) | #Gamma(n) => Gamma.pdf(x, n) | #Lognormal(n) => Lognormal.pdf(x, n) + | #Logistic(n) => Logistic.pdf(x, n) | #Uniform(n) => Uniform.pdf(x, n) | #Beta(n) => Beta.pdf(x, n) | #Float(n) => Float.pdf(x, n) + | #Bernoulli(n) => Bernoulli.pdf(x, n) } let cdf = (x, dist) => @@ -287,10 +336,12 @@ module T = { | #Exponential(n) => Exponential.cdf(x, n) | #Cauchy(n) => Cauchy.cdf(x, n) | #Gamma(n) => Gamma.cdf(x, n) + | #Logistic(n) => Logistic.cdf(x, n) | #Lognormal(n) => Lognormal.cdf(x, n) | #Uniform(n) => Uniform.cdf(x, n) | #Beta(n) => Beta.cdf(x, n) | #Float(n) => Float.cdf(x, n) + | #Bernoulli(n) => Bernoulli.cdf(x, n) } let inv = (x, dist) => @@ -300,10 +351,12 @@ module T = { | #Exponential(n) => Exponential.inv(x, n) | #Cauchy(n) => Cauchy.inv(x, n) | #Gamma(n) => Gamma.inv(x, n) + | #Logistic(n) => Logistic.inv(x, n) | #Lognormal(n) => Lognormal.inv(x, n) | #Uniform(n) => Uniform.inv(x, n) | #Beta(n) => Beta.inv(x, n) | #Float(n) => Float.inv(x, n) + | #Bernoulli(n) => Bernoulli.inv(x, n) } let sample: symbolicDist => float = x => @@ -313,10 +366,12 @@ module T = { | #Exponential(n) => Exponential.sample(n) | #Cauchy(n) => Cauchy.sample(n) | #Gamma(n) => Gamma.sample(n) + | #Logistic(n) => Logistic.sample(n) | #Lognormal(n) => Lognormal.sample(n) | #Uniform(n) => Uniform.sample(n) | #Beta(n) => Beta.sample(n) | #Float(n) => Float.sample(n) + | #Bernoulli(n) => Bernoulli.sample(n) } let doN = (n, fn) => { @@ -336,10 +391,12 @@ module T = { | #Cauchy(n) => Cauchy.toString(n) | #Normal(n) => Normal.toString(n) | #Gamma(n) => Gamma.toString(n) + | #Logistic(n) => Logistic.toString(n) | #Lognormal(n) => Lognormal.toString(n) | #Uniform(n) => Uniform.toString(n) | #Beta(n) => Beta.toString(n) | #Float(n) => Float.toString(n) + | #Bernoulli(n) => Bernoulli.toString(n) } let min: symbolicDist => float = x => @@ -349,8 +406,10 @@ module T = { | #Cauchy(n) => Cauchy.inv(minCdfValue, n) | #Normal(n) => Normal.inv(minCdfValue, n) | #Lognormal(n) => Lognormal.inv(minCdfValue, n) + | #Logistic(n) => Logistic.inv(minCdfValue, n) | #Gamma(n) => Gamma.inv(minCdfValue, n) | #Uniform({low}) => low + | #Bernoulli(n) => Bernoulli.min(n) | #Beta(n) => Beta.inv(minCdfValue, n) | #Float(n) => n } @@ -363,7 +422,9 @@ module T = { | #Normal(n) => Normal.inv(maxCdfValue, n) | #Gamma(n) => Gamma.inv(maxCdfValue, n) | #Lognormal(n) => Lognormal.inv(maxCdfValue, n) + | #Logistic(n) => Logistic.inv(maxCdfValue, n) | #Beta(n) => Beta.inv(maxCdfValue, n) + | #Bernoulli(n) => Bernoulli.max(n) | #Uniform({high}) => high | #Float(n) => n } @@ -376,8 +437,10 @@ module T = { | #Normal(n) => Normal.mean(n) | #Lognormal(n) => Lognormal.mean(n) | #Beta(n) => Beta.mean(n) + | #Logistic(n) => Logistic.mean(n) | #Uniform(n) => Uniform.mean(n) | #Gamma(n) => Gamma.mean(n) + | #Bernoulli(n) => Bernoulli.mean(n) | #Float(n) => Float.mean(n) } @@ -453,7 +516,8 @@ module T = { d: symbolicDist, ): PointSetTypes.pointSetDist => switch d { - | #Float(v) => Discrete(Discrete.make(~integralSumCache=Some(1.0), {xs: [v], ys: [1.0]})) + | #Float(v) => Float.toPointSetDist(v) + | #Bernoulli(v) => Bernoulli.toPointSetDist(v) | _ => let xs = interpolateXs(~xSelection, d, sampleCount) let ys = xs |> E.A.fmap(x => pdf(x, d)) diff --git a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDistTypes.res b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDistTypes.res index 7878a3bc..8a4956c5 100644 --- a/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDistTypes.res +++ b/packages/squiggle-lang/src/rescript/Distributions/SymbolicDist/SymbolicDistTypes.res @@ -36,6 +36,13 @@ type gamma = { scale: float, } +type logistic = { + location: float, + scale: float, +} + +type bernoulli = {p: float} + @genType type symbolicDist = [ | #Normal(normal) @@ -47,6 +54,8 @@ type symbolicDist = [ | #Triangular(triangular) | #Gamma(gamma) | #Float(float) + | #Bernoulli(bernoulli) + | #Logistic(logistic) ] type analyticalSimplificationResult = [ diff --git a/packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res b/packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res index 4df742be..616ad39c 100644 --- a/packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res +++ b/packages/squiggle-lang/src/rescript/ReducerInterface/ReducerInterface_GenericDistribution.res @@ -186,6 +186,7 @@ module SymbolicConstructors = { let oneFloat = name => switch name { | "exponential" => Ok(SymbolicDist.Exponential.make) + | "bernoulli" => Ok(SymbolicDist.Bernoulli.make) | _ => Error("Unreachable state") } @@ -195,6 +196,7 @@ module SymbolicConstructors = { | "uniform" => Ok(SymbolicDist.Uniform.make) | "beta" => Ok(SymbolicDist.Beta.make) | "lognormal" => Ok(SymbolicDist.Lognormal.make) + | "logistic" => Ok(SymbolicDist.Logistic.make) | "cauchy" => Ok(SymbolicDist.Cauchy.make) | "gamma" => Ok(SymbolicDist.Gamma.make) | "to" => Ok(SymbolicDist.From90thPercentile.make) @@ -222,14 +224,21 @@ let dispatchToGenericOutput = ( ): option => { let (fnName, args) = call switch (fnName, args) { - | ("exponential" as fnName, [EvNumber(f)]) => + | (("exponential" | "bernoulli") as fnName, [EvNumber(f)]) => SymbolicConstructors.oneFloat(fnName) ->E.R.bind(r => r(f)) ->SymbolicConstructors.symbolicResultToOutput | ("delta", [EvNumber(f)]) => SymbolicDist.Float.makeSafe(f)->SymbolicConstructors.symbolicResultToOutput | ( - ("normal" | "uniform" | "beta" | "lognormal" | "cauchy" | "gamma" | "to") as fnName, + ("normal" + | "uniform" + | "beta" + | "lognormal" + | "cauchy" + | "gamma" + | "to" + | "logistic") as fnName, [EvNumber(f1), EvNumber(f2)], ) => SymbolicConstructors.twoFloat(fnName) @@ -240,6 +249,8 @@ let dispatchToGenericOutput = ( ->E.R.bind(r => r(f1, f2, f3)) ->SymbolicConstructors.symbolicResultToOutput | ("sample", [EvDistribution(dist)]) => Helpers.toFloatFn(#Sample, dist, ~env) + | ("sampleN", [EvDistribution(dist), EvNumber(n)]) => + Some(FloatArray(GenericDist.sampleN(dist, Belt.Int.fromFloat(n)))) | ("mean", [EvDistribution(dist)]) => Helpers.toFloatFn(#Mean, dist, ~env) | ("integralSum", [EvDistribution(dist)]) => Helpers.toFloatFn(#IntegralSum, dist, ~env) | ("toString", [EvDistribution(dist)]) => Helpers.toStringFn(ToString, dist, ~env) @@ -373,6 +384,7 @@ let genericOutputToReducerValue = (o: DistributionOperation.outputType): result< | Float(d) => Ok(EvNumber(d)) | String(d) => Ok(EvString(d)) | Bool(d) => Ok(EvBool(d)) + | FloatArray(d) => Ok(EvArray(d |> E.A.fmap(r => ReducerInterface_ExpressionValue.EvNumber(r)))) | GenDistError(err) => Error(REDistributionError(err)) } diff --git a/packages/squiggle-lang/src/rescript/Utility/Stdlib.res b/packages/squiggle-lang/src/rescript/Utility/Stdlib.res new file mode 100644 index 00000000..faa1cb1d --- /dev/null +++ b/packages/squiggle-lang/src/rescript/Utility/Stdlib.res @@ -0,0 +1,40 @@ +module Bernoulli = { + @module external cdf: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/cdf" + let cdf = cdf + + @module external pmf: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/pmf" + let pmf = pmf + + @module external quantile: (float, float) => float = "@stdlib/stats/base/dists/bernoulli/quantile" + let quantile = quantile + + @module external mean: float => float = "@stdlib/stats/base/dists/bernoulli/mean" + let mean = mean + + @module external stdev: float => float = "@stdlib/stats/base/dists/bernoulli/stdev" + let stdev = stdev + + @module external variance: float => float = "@stdlib/stats/base/dists/bernoulli/variance" + let variance = variance +} + +module Logistic = { + @module external cdf: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/cdf" + let cdf = cdf + + @module external pdf: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/pdf" + let pdf = pdf + + @module + external quantile: (float, float, float) => float = "@stdlib/stats/base/dists/logistic/quantile" + let quantile = quantile + + @module external mean: (float, float) => float = "@stdlib/stats/base/dists/logistic/mean" + let mean = mean + + @module external stdev: (float, float) => float = "@stdlib/stats/base/dists/logistic/stdev" + let stdev = stdev + + @module external variance: (float, float) => float = "@stdlib/stats/base/dists/logistic/variance" + let variance = variance +} diff --git a/packages/website/package.json b/packages/website/package.json index 5f4172f6..e07feb6f 100644 --- 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"https://registry.yarnpkg.com/prism-react-renderer/-/prism-react-renderer-1.3.1.tgz#88fc9d0df6bed06ca2b9097421349f8c2f24e30d" - integrity sha512-xUeDMEz074d0zc5y6rxiMp/dlC7C+5IDDlaEUlcBOFE2wddz7hz5PNupb087mPwTt7T9BrFmewObfCBuf/LKwQ== +prism-react-renderer@^1.3.1, prism-react-renderer@^1.3.3: + version "1.3.3" + resolved "https://registry.yarnpkg.com/prism-react-renderer/-/prism-react-renderer-1.3.3.tgz#9b5a4211a6756eee3c96fee9a05733abc0b0805c" + integrity sha512-Viur/7tBTCH2HmYzwCHmt2rEFn+rdIWNIINXyg0StiISbDiIhHKhrFuEK8eMkKgvsIYSjgGqy/hNyucHp6FpoQ== prismjs@^1.21.0, prismjs@^1.28.0: version "1.28.0" @@ -14375,7 +14704,7 @@ read-pkg@^5.2.0: parse-json "^5.0.0" type-fest "^0.6.0" -"readable-stream@1 || 2", readable-stream@^2.0.0, readable-stream@^2.0.1, readable-stream@^2.0.2, readable-stream@^2.1.5, readable-stream@^2.2.2, readable-stream@^2.3.3, readable-stream@^2.3.6, readable-stream@~2.3.6: +"readable-stream@1 || 2", readable-stream@^2.0.0, readable-stream@^2.0.1, 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