Merge pull request #25 from foretold-app/Interface-refactor

Renderer-Refactor

showcase/entries/Continuous.re

@@ -5,22 +5,21 @@
 // floor(3 to 4)
 // uniform(0,1) > 0.3 ? lognormal(6.652, -0.41): 0
 
-let timeDist =
-  DistPlusIngredients.make(
+let timeDist ={
+  let ingredients = RenderTypes.DistPlusRenderer.Ingredients.make(
     ~guesstimatorString="(floor(10 to 15))",
     ~domain=RightLimited({xPoint: 50.0, excludingProbabilityMass: 0.3}),
     ~unit=
       DistTypes.TimeDistribution({zero: MomentRe.momentNow(), unit: `years}),
-    (),
-  );
+    ());
+  let inputs = RenderTypes.DistPlusRenderer.make(~distPlusIngredients=ingredients,())
+  inputs |> DistPlusRenderer.run
+}
 
 let setup = dist =>
-  dist
-  |> DistPlusIngredients.toDistPlus(
-       ~sampleCount=2000,
-       ~outputXYPoints=1000,
-       ~truncateTo=Some(1000),
-     )
+  RenderTypes.DistPlusRenderer.make(~distPlusIngredients=dist,())
+  |> DistPlusRenderer.run
+  |> RenderTypes.DistPlusRenderer.Outputs.distplus
   |> E.O.React.fmapOrNull(distPlus => <DistPlusPlot distPlus />);
 
 let simpleExample = (name, guesstimatorString) =>
@@ -28,7 +27,7 @@ let simpleExample = (name, guesstimatorString) =>
     <h3 className="text-gray-600 text-lg font-bold">
       {name |> ReasonReact.string}
     </h3>
-    {setup(DistPlusIngredients.make(~guesstimatorString, ()))}
+    {setup(RenderTypes.DistPlusRenderer.Ingredients.make(~guesstimatorString, ()))}
   </>;
 
 let timeExample = (name, guesstimatorString) =>
@@ -37,7 +36,7 @@ let timeExample = (name, guesstimatorString) =>
       {name |> ReasonReact.string}
     </h3>
     {setup(
-       DistPlusIngredients.make(
+       RenderTypes.DistPlusRenderer.Ingredients.make(
          ~guesstimatorString,
          ~unit=TimeDistribution({zero: MomentRe.momentNow(), unit: `years}),
          (),

src/components/DistBuilder.re

@@ -26,7 +26,7 @@ type options = {
   sampleCount: int,
   outputXYPoints: int,
   truncateTo: option(int),
-  kernelWidth: int,
+  kernelWidth: option(float),
 };
 
 module Form = ReForm.Make(FormConfig);
@@ -111,6 +111,13 @@ module Styles = {
     ]);
 };
 
+type inputs = {
+  samplingInputs: RenderTypes.ShapeRenderer.Sampling.inputs,
+  guesstimatorString: string,
+  length: int,
+  shouldTruncateSampledDistribution: int,
+};
+
 module DemoDist = {
   [@react.component]
   let make = (~guesstimatorString, ~domain, ~unit, ~options) => {
@@ -119,15 +126,27 @@ module DemoDist = {
       <div>
         {switch (domain, unit, options) {
          | (Some(domain), Some(unit), Some(options)) =>
-           let distPlus =
-             DistPlusIngredients.make(~guesstimatorString, ~domain, ~unit, ())
-             |> DistPlusIngredients.toDistPlus(
-                  ~sampleCount=options.sampleCount,
-                  ~outputXYPoints=options.outputXYPoints,
-                  ~truncateTo=options.truncateTo,
-                  ~kernelWidth=options.kernelWidth,
+           let distPlusIngredients =
+             RenderTypes.DistPlusRenderer.Ingredients.make(
+               ~guesstimatorString,
+               ~domain,
+               ~unit,
+               (),
              );
-           switch (distPlus) {
+           let inputs =
+             RenderTypes.DistPlusRenderer.make(
+               ~samplingInputs={
+                 sampleCount: Some(options.sampleCount),
+                 outputXYPoints: Some(options.outputXYPoints),
+                 kernelWidth: options.kernelWidth,
+               },
+               ~distPlusIngredients,
+               ~shouldTruncate=options.truncateTo |> E.O.isSome,
+               ~recommendedLength=options.truncateTo |> E.O.default(10000),
+               (),
+             );
+           let response = DistPlusRenderer.run(inputs);
+           switch (RenderTypes.DistPlusRenderer.Outputs.distplus(response)) {
            | Some(distPlus) => <DistPlusPlot distPlus />
            | _ =>
              "Correct Guesstimator string input to show a distribution."
@@ -160,9 +179,9 @@ let make = () => {
         unitType: "UnspecifiedDistribution",
         zero: MomentRe.momentNow(),
         unit: "days",
-        sampleCount: "10000",
-        outputXYPoints: "500",
-        truncateTo: "100",
+        sampleCount: "30000",
+        outputXYPoints: "10000",
+        truncateTo: "1000",
         kernelWidth: "5",
       },
       (),
@@ -246,7 +265,7 @@ let make = () => {
         truncateTo:
           int_of_float(truncateTo) > 0
             ? Some(int_of_float(truncateTo)) : None,
-        kernelWidth: kernelWidth |> int_of_float,
+        kernelWidth: kernelWidth == 0.0 ? None : Some(kernelWidth),
       })
     | _ => None
     };

src/distPlus/distribution/DistTypes.re

@@ -60,12 +60,6 @@ type distPlus = {
   guesstimatorString: option(string),
 };
 
-type distPlusIngredients = {
-  guesstimatorString: string,
-  domain,
-  unit: distributionUnit,
-};
-
 module DistributionUnit = {
   let toJson = (distributionUnit: distributionUnit) =>
     switch (distributionUnit) {

src/distPlus/distribution/MixedShapeBuilder.re

@@ -8,7 +8,8 @@ type assumptions = {
   discreteProbabilityMass: option(float),
 };
 
-let buildSimple = (~continuous, ~discrete): option(DistTypes.shape) => {
+let buildSimple = (~continuous: option(DistTypes.continuousShape), ~discrete): option(DistTypes.shape) => {
+  let continuous = continuous |> E.O.default(Distributions.Continuous.make(`Linear, {xs: [||], ys: [||]}))
   let cLength =
     continuous
     |> Distributions.Continuous.getShape
@@ -39,6 +40,8 @@ let buildSimple = (~continuous, ~discrete): option(DistTypes.shape) => {
   };
 };
 
+
+// TODO: Delete, only being used in tests
 let build = (~continuous, ~discrete, ~assumptions) =>
   switch (assumptions) {
   | {

src/distPlus/renderers/DistPlusRenderer.re

@@ -0,0 +1,36 @@
+let truncateIfShould =
+    (
+      {recommendedLength, shouldTruncate}: RenderTypes.DistPlusRenderer.inputs,
+      outputs: RenderTypes.ShapeRenderer.Combined.outputs,
+      dist,
+    ) => {
+  shouldTruncate
+  && RenderTypes.ShapeRenderer.Combined.methodUsed(outputs) == `Sampling
+    ? dist |> Distributions.DistPlus.T.truncate(recommendedLength) : dist;
+};
+
+let run =
+    (inputs: RenderTypes.DistPlusRenderer.inputs)
+    : RenderTypes.DistPlusRenderer.outputs => {
+  let toDist = shape =>
+    Distributions.DistPlus.make(
+      ~shape,
+      ~domain=inputs.distPlusIngredients.domain,
+      ~unit=inputs.distPlusIngredients.unit,
+      ~guesstimatorString=Some(inputs.distPlusIngredients.guesstimatorString),
+      (),
+    )
+    |> Distributions.DistPlus.T.scaleToIntegralSum(~intendedSum=1.0);
+  let outputs =
+    ShapeRenderer.run({
+      samplingInputs: inputs.samplingInputs,
+      guesstimatorString: inputs.distPlusIngredients.guesstimatorString,
+      symbolicInputs: {
+        length: inputs.recommendedLength,
+      },
+    });
+  let shape = outputs |> RenderTypes.ShapeRenderer.Combined.getShape;
+  let dist =
+    shape |> E.O.fmap(toDist) |> E.O.fmap(truncateIfShould(inputs, outputs));
+  RenderTypes.DistPlusRenderer.Outputs.make(outputs, dist);
+};

src/distPlus/renderers/RenderTypes.re

@@ -0,0 +1,127 @@
+module ShapeRenderer = {
+  module Sampling = {
+    type inputs = {
+      sampleCount: option(int),
+      outputXYPoints: option(int),
+      kernelWidth: option(float),
+    };
+    type samplingStats = {
+      sampleCount: int,
+      outputXYPoints: int,
+      bandwidthXSuggested: float,
+      bandwidthUnitSuggested: float,
+      bandwidthXImplemented: float,
+      bandwidthUnitImplemented: float,
+    };
+    type outputs = {
+      continuousParseParams: option(samplingStats),
+      shape: option(DistTypes.shape),
+    };
+    module Inputs = {
+      let defaultSampleCount = 5000;
+      let defaultOutputXYPoints = 10000;
+      let empty = {
+        sampleCount: None,
+        outputXYPoints: None,
+        kernelWidth: None,
+      };
+
+      type fInputs = {
+        sampleCount: int,
+        outputXYPoints: int,
+        kernelWidth: option(float),
+      };
+      let toF = (i: inputs): fInputs => {
+        sampleCount: i.sampleCount |> E.O.default(defaultSampleCount),
+        outputXYPoints:
+          i.outputXYPoints |> E.O.default(defaultOutputXYPoints),
+        kernelWidth: i.kernelWidth,
+      };
+    };
+  };
+
+  module Symbolic = {
+    type inputs = {length: int};
+    type outputs = {
+      graph: SymbolicDist.bigDist,
+      shape: DistTypes.shape,
+    };
+    let make = (graph, shape) => {graph, shape};
+  };
+
+  module Combined = {
+    type inputs = {
+      samplingInputs: Sampling.inputs,
+      symbolicInputs: Symbolic.inputs,
+      guesstimatorString: string,
+    };
+    type outputs = {
+      symbolic: option(Belt.Result.t(Symbolic.outputs, string)),
+      sampling: option(Sampling.outputs),
+    };
+    let methodUsed = ({symbolic, sampling}:outputs) => switch(symbolic, sampling){
+      | (Some(Ok(_)), _) => `Symbolic
+      | (None, Some({shape: Some(_)})) => `Sampling
+      | _ => `None
+    }
+    let getShape = (r: outputs) =>
+      switch (r.symbolic, r.sampling) {
+      | (Some(Ok({shape})), _) => Some(shape)
+      | (_, Some({shape})) => shape
+      | _ => None
+      };
+  };
+};
+
+module DistPlusRenderer = {
+  let defaultRecommendedLength = 10000;
+  let defaultShouldTruncate = true;
+  type ingredients = {
+    guesstimatorString: string,
+    domain: DistTypes.domain,
+    unit: DistTypes.distributionUnit,
+  };
+  type inputs = {
+    distPlusIngredients: ingredients,
+    samplingInputs: ShapeRenderer.Sampling.inputs,
+    recommendedLength: int,
+    shouldTruncate: bool,
+  };
+  module Ingredients = {
+    let make =
+        (
+          ~guesstimatorString,
+          ~domain=DistTypes.Complete,
+          ~unit=DistTypes.UnspecifiedDistribution,
+          (),
+        )
+        : ingredients => {
+      guesstimatorString,
+      domain,
+      unit,
+    };
+  };
+  let make =
+      (
+        ~samplingInputs=ShapeRenderer.Sampling.Inputs.empty,
+        ~recommendedLength=defaultRecommendedLength,
+        ~shouldTruncate=defaultShouldTruncate,
+        ~distPlusIngredients,
+        (),
+      )
+      : inputs => {
+    distPlusIngredients,
+    samplingInputs,
+    recommendedLength,
+    shouldTruncate,
+  };
+  type outputs = {
+    shapeRenderOutputs: ShapeRenderer.Combined.outputs,
+    distPlus: option(DistTypes.distPlus)
+  }
+  module Outputs = {
+    let distplus = (t:outputs) => t.distPlus
+    let shapeRenderOutputs = (t:outputs) => t.shapeRenderOutputs
+    let make = (shapeRenderOutputs, distPlus) => {shapeRenderOutputs, distPlus};
+  }
+};

src/distPlus/renderers/ShapeRenderer.re

@@ -0,0 +1,24 @@
+let runSymbolic =
+    (guesstimatorString, length) =>{
+      let graph = MathJsParser.fromString(guesstimatorString);
+      graph |> E.R.fmap(g => RenderTypes.ShapeRenderer.Symbolic.make(g, SymbolicDist.toShape(length,g)))
+    }
+  
+let run =
+    (
+      inputs: RenderTypes.ShapeRenderer.Combined.inputs
+    )
+    : RenderTypes.ShapeRenderer.Combined.outputs => {
+  let symbolic = runSymbolic(inputs.guesstimatorString, inputs.symbolicInputs.length);
+  let sampling =
+    switch (symbolic) {
+    | Ok(_) => None
+    | Error(_) =>
+      Samples.T.fromGuesstimatorString(
+        ~guesstimatorString=inputs.guesstimatorString,
+        ~samplingInputs=inputs.samplingInputs,
+        (),
+      )
+    };
+  {symbolic: Some(symbolic), sampling};
+};

src/distPlus/renderers/samplesRenderer/Samples.re

@@ -10,7 +10,7 @@ module JS = {
     ys: ysGet(d),
   };
 
-  [@bs.module "./utility/KdeLibrary.js"]
+  [@bs.module "./KdeLibrary.js"]
   external samplesToContinuousPdf: (array(float), int, int) => distJs =
     "samplesToContinuousPdf";
 };
@@ -22,6 +22,7 @@ module KDE = {
     |> JS.jsToDist;
   };
 
+  // Note: This was an experiment, but it didn't actually work that well.
   let inGroups = (samples, outputXYPoints, kernelWidth, ~cuttoff=0.9, ()) => {
     let partitionAt =
       samples
@@ -88,33 +89,93 @@ module T = {
     (continuous, discrete);
   };
 
-  let kde = (~samples, ~outputXYPoints) => {
-    let width = Bandwidth.nrd0(samples);
+  let xWidthToUnitWidth = (samples, outputXYPoints, xWidth) => {
     let xyPointRange = E.A.Sorted.range(samples) |> E.O.default(0.0);
     let xyPointWidth = xyPointRange /. float_of_int(outputXYPoints);
-    let kernelWidth = int_of_float(Jstat.max([|(width /. xyPointWidth), 1.0 |]));
-    KDE.normalSampling(samples, outputXYPoints, kernelWidth);
+    xWidth /. xyPointWidth;
   };
 
-  // todo: Figure out some way of doing this without having to integrate so many times.
-  let toShape = (~samples: t, ~outputXYPoints=3000, ~kernelWidth=10, ()) => {
+  let formatUnitWidth = w => Jstat.max([|w, 1.0|]) |> int_of_float;
+
+  let suggestedUnitWidth = (samples, outputXYPoints) => {
+    let suggestedXWidth = Bandwidth.nrd0(samples);
+    xWidthToUnitWidth(samples, outputXYPoints, suggestedXWidth);
+  };
+
+  let kde = (~samples, ~outputXYPoints, width) => {
+    KDE.normalSampling(samples, outputXYPoints, width);
+  };
+
+  let toShape =
+      (~samples: t, ~samplingInputs: RenderTypes.ShapeRenderer.Sampling.Inputs.fInputs, ()) => {
     Array.fast_sort(compare, samples);
     let (continuousPart, discretePart) = E.A.Sorted.Floats.split(samples);
-    let length = samples |> E.A.length;
-    let lengthFloat = float_of_int(length);
+    let length = samples |> E.A.length |> float_of_int;
     let discrete: DistTypes.xyShape =
       discretePart
-      |> E.FloatFloatMap.fmap(r => r /. lengthFloat)
+      |> E.FloatFloatMap.fmap(r => r /. length)
       |> E.FloatFloatMap.toArray
       |> XYShape.T.fromZippedArray;
-    let pdf: DistTypes.xyShape =
+
+    let pdf =
       continuousPart |> E.A.length > 5
         ? {
-          continuousPart |> kde(~samples=_, ~outputXYPoints)
+          let _suggestedXWidth = Bandwidth.nrd0(continuousPart);
+          let _suggestedUnitWidth =
+            suggestedUnitWidth(continuousPart, samplingInputs.outputXYPoints);
+          let usedWidth =
+            samplingInputs.kernelWidth |> E.O.default(_suggestedXWidth);
+          let usedUnitWidth =
+            xWidthToUnitWidth(
+              samples,
+              samplingInputs.outputXYPoints,
+              usedWidth,
+            );
+          let foo: RenderTypes.ShapeRenderer.Sampling.samplingStats = {
+            sampleCount: samplingInputs.sampleCount,
+            outputXYPoints: samplingInputs.outputXYPoints,
+            bandwidthXSuggested: _suggestedXWidth,
+            bandwidthUnitSuggested: _suggestedUnitWidth,
+            bandwidthXImplemented: usedWidth,
+            bandwidthUnitImplemented: usedUnitWidth,
+          };
+          continuousPart
+          |> kde(
+               ~samples=_,
+               ~outputXYPoints=samplingInputs.outputXYPoints,
+               formatUnitWidth(usedUnitWidth),
+             )
+          |> Distributions.Continuous.make(`Linear)
+          |> (r => Some((r, foo)));
         }
-        : {xs: [||], ys: [||]};
-    let continuous = pdf |> Distributions.Continuous.make(`Linear);
-    let shape = MixedShapeBuilder.buildSimple(~continuous, ~discrete);
-    shape;
+        : None;
+    let shape =
+      MixedShapeBuilder.buildSimple(
+        ~continuous=pdf |> E.O.fmap(fst),
+        ~discrete,
+      );
+    let samplesParse: RenderTypes.ShapeRenderer.Sampling.outputs = {
+      continuousParseParams: pdf |> E.O.fmap(snd),
+      shape,
+    };
+    samplesParse;
+  };
+
+  let fromGuesstimatorString =
+      (
+        ~guesstimatorString,
+        ~samplingInputs=RenderTypes.ShapeRenderer.Sampling.Inputs.empty,
+        (),
+      ) => {
+    let hasValidSamples =
+      Guesstimator.stringToSamples(guesstimatorString, 10) |> E.A.length > 0;
+    let samplingInputs = RenderTypes.ShapeRenderer.Sampling.Inputs.toF(samplingInputs);
+    switch (hasValidSamples) {
+    | false => None
+    | true =>
+      let samples =
+        Guesstimator.stringToSamples(guesstimatorString, samplingInputs.sampleCount);
+      Some(toShape(~samples, ~samplingInputs, ()));
+    };
   };
 };

src/distPlus/symbolic/MathJsParser.re

@@ -1,3 +1,5 @@
+// todo: rename to SymbolicParser
+
 module MathJsonToMathJsAdt = {
   type arg =
     | Symbol(string)
@@ -245,6 +247,5 @@ let fromString = str => {
       }
     );
   let value = E.R.bind(mathJsParse, MathAdtToDistDst.run);
-  Js.log4("fromString", mathJsToJson, mathJsParse, value);
   value;
 };

src/distPlus/symbolic/SymbolicDist.re

@@ -296,7 +296,7 @@ module PointwiseAddDistributionsWeighted = {
     let normalized = normalizeWeights(dists);
     let continuous = normalized |> E.A.filter(((r,_)) => GenericSimple.contType(r) == `Continuous) |> continuousShape(_, sampleCount);
     let discrete = normalized |> E.A.filter(((r,_)) => GenericSimple.contType(r) == `Discrete) |> discreteShape(_, sampleCount);
-    let shape = MixedShapeBuilder.buildSimple(~continuous, ~discrete);
+    let shape = MixedShapeBuilder.buildSimple(~continuous=Some(continuous), ~discrete);
     shape |> E.O.toExt("")
   };
 

src/distribution/DistPlusIngredients.re

@@ -1,55 +0,0 @@
-open DistTypes;
-
-let make =
-    (~guesstimatorString, ~domain=Complete, ~unit=UnspecifiedDistribution, ())
-    : distPlusIngredients => {
-  guesstimatorString,
-  domain,
-  unit,
-};
-
-let applyTruncation = (truncateTo, distPlus) =>
-  switch (truncateTo, distPlus) {
-  | (Some(t), Some(d)) => Some(d |> Distributions.DistPlus.T.truncate(t))
-  | (None, Some(d)) => Some(d)
-  | _ => None
-  };
-
-let toDistPlus =
-    (
-      ~sampleCount=2000,
-      ~outputXYPoints=1500,
-      ~truncateTo=Some(300),
-      ~kernelWidth=5,
-      t: distPlusIngredients,
-    )
-    : option(distPlus) => {
-  let toDist = shape =>
-    Distributions.DistPlus.make(
-      ~shape,
-      ~domain=t.domain,
-      ~unit=t.unit,
-      ~guesstimatorString=Some(t.guesstimatorString),
-      (),
-    )
-    |> Distributions.DistPlus.T.scaleToIntegralSum(~intendedSum=1.0);
-  let parsed1 = MathJsParser.fromString(t.guesstimatorString);
-  let shape =
-    switch (parsed1) {
-    | Ok(r) =>
-      let shape = SymbolicDist.toShape(truncateTo |> E.O.default(10000), r);
-      Some(shape |> toDist);
-    | _ =>
-      let fewSamples = Guesstimator.stringToSamples(t.guesstimatorString, 10);
-      if (fewSamples |> E.A.length > 0) {
-        let samples =
-          Guesstimator.stringToSamples(t.guesstimatorString, sampleCount);
-        let shape =
-          Samples.T.toShape(~samples, ~outputXYPoints, ~kernelWidth, ());
-        shape |> E.O.fmap(toDist) |> applyTruncation(truncateTo);
-      } else {
-        None;
-      };
-    };
-    shape;
-};

src/interface/FormBuilder.re

@@ -17,14 +17,16 @@ let propValue = (t: Prop.Value.t) => {
   switch (t) {
   | SelectSingle(r) => r |> ReasonReact.string
   | ConditionalArray(r) => "Array" |> ReasonReact.string
-  | DistPlusIngredients((r: DistTypes.distPlusIngredients)) =>
+  | DistPlusIngredients((r: RenderTypes.DistPlusRenderer.ingredients)) =>
     let newDistribution =
-      DistPlusIngredients.toDistPlus(
-        ~sampleCount=1000,
-        ~outputXYPoints=2000,
-        ~truncateTo=Some(500),
-        r,
-      );
+      RenderTypes.DistPlusRenderer.make(
+        ~distPlusIngredients=r,
+        ~recommendedLength=10000,
+        ~shouldTruncate=true,
+        (),
+      )
+      |> DistPlusRenderer.run
+      |> RenderTypes.DistPlusRenderer.Outputs.distplus;
     switch (newDistribution) {
     | Some(distribution) =>
       <div> <DistPlusPlot distPlus=distribution /> </div>

src/interface/Prop.re

@@ -9,7 +9,7 @@ module Value = {
     | DateTime(MomentRe.Moment.t)
     | FloatPoint(float)
     | Probability(float)
-    | DistPlusIngredients(DistTypes.distPlusIngredients)
+    | DistPlusIngredients(RenderTypes.DistPlusRenderer.ingredients)
     | ConditionalArray(array(conditional))
     | FloatCdf(string);
 
@@ -85,7 +85,7 @@ module ValueCluster = {
         [ | `combination(range(MomentRe.Moment.t)) | `item(string)],
       )
     | Probability([ | `item(string)])
-    | DistPlusIngredients([ | `item(DistTypes.distPlusIngredients)])
+    | DistPlusIngredients([ | `item(RenderTypes.DistPlusRenderer.ingredients)])
     | ConditionalArray([ | `item(array(conditional))])
     | FloatCdf([ | `item(string)]);
 };

src/models/EAFunds.re

@@ -110,7 +110,9 @@ module Model = {
   // TODO: Fixe number that integral is calculated for
   let getGlobalCatastropheChance = dateTime => {
     GlobalCatastrophe.makeI(MomentRe.momentNow())
-    |> DistPlusIngredients.toDistPlus
+    |> RenderTypes.DistPlusRenderer.make(~distPlusIngredients=_, ())
+    |> DistPlusRenderer.run
+    |> RenderTypes.DistPlusRenderer.Outputs.distplus
     |> E.O.bind(_, Distributions.DistPlusTime.Integral.xToY(Time(dateTime)));
   };
 
@@ -151,7 +153,7 @@ module Model = {
         };
 
       let distPlusIngredients =
-        DistPlusIngredients.make(
+        RenderTypes.DistPlusRenderer.Ingredients.make(
           ~guesstimatorString=str,
           ~domain=Complete,
           ~unit=UnspecifiedDistribution,
@@ -161,7 +163,7 @@ module Model = {
 
     | CHANCE_OF_EXISTENCE =>
       Prop.Value.DistPlusIngredients(
-        DistPlusIngredients.make(
+        RenderTypes.DistPlusRenderer.Ingredients.make(
           ~guesstimatorString=
             GuesstimatorDist.min(
               GlobalCatastrophe.guesstimatorString,

src/models/GlobalCatastrophe.re

@@ -1,7 +1,7 @@
 let guesstimatorString = "uniform(1, 100)";
 
 let makeI = (currentDateTime: MomentRe.Moment.t) => {
-  DistPlusIngredients.make(
+  RenderTypes.DistPlusRenderer.Ingredients.make(
     ~guesstimatorString,
     ~unit=TimeDistribution({zero: currentDateTime, unit: `years}),
     ~domain=RightLimited({xPoint: 300.0, excludingProbabilityMass: 0.3}),

src/models/Human.re

@@ -2,7 +2,7 @@ let guesstimatorString = age =>
   GuesstimatorDist.normal(72.0 -. age, 5.0 -. age *. 0.01);
 
 let makeI = (age: float) => {
-  DistPlusIngredients.make(
+  RenderTypes.DistPlusRenderer.Ingredients.make(
     ~guesstimatorString=guesstimatorString(age),
     ~unit=TimeDistribution({zero: MomentRe.momentNow(), unit: `years}),
     ~domain=RightLimited({xPoint: 300.0, excludingProbabilityMass: 0.3}),