Actually use cache when needed

showcase/entries/Continuous.re

@@ -3,7 +3,7 @@
 
 let timeDist =
   DistPlusIngredients.make(
-    ~guesstimatorString="mm(floor(10 to 15), 10 to 11, [.9,.1])",
+    ~guesstimatorString="(floor(10 to 15))",
     ~domain=Complete,
     ~unit=
       DistTypes.TimeDistribution({zero: MomentRe.momentNow(), unit: `years}),
@@ -12,7 +12,11 @@ let timeDist =
 
 let setup = dist =>
   dist
-  |> DistPlusIngredients.toDistPlus(~sampleCount=5000, ~outputXYPoints=1000);
+  |> DistPlusIngredients.toDistPlus(
+       ~sampleCount=10000,
+       ~outputXYPoints=2000,
+       ~truncateTo=Some(1000),
+     );
 
 let distributions = () =>
   <div>
@@ -20,7 +24,7 @@ let distributions = () =>
       <h2> {"Single-Discrete" |> ReasonReact.string} </h2>
       {setup(
          DistPlusIngredients.make(
-           ~guesstimatorString="8 to 12, [.5,.5])",
+           ~guesstimatorString="mm(5 to 20, floor(normal(20,2)), [.5, .05])",
            ~domain=Complete,
            (),
          ),

src/components/charts/DistPlusPlot.re

@@ -37,7 +37,6 @@ module IntegralChart = {
     let minX = integral |> Distributions.Continuous.T.minX;
     let maxX = integral |> Distributions.Continuous.T.maxX;
     let timeScale = distPlus.unit |> DistTypes.DistributionUnit.toJson;
-    Js.log3("HIHI", continuous, distPlus);
     <DistributionPlot
       minX
       maxX

src/distributions/DistPlusIngredients.re

@@ -9,13 +9,19 @@ let make =
 };
 
 let toDistPlus =
-    (~sampleCount=1000, ~outputXYPoints=1000, t: distPlusIngredients)
+    (
+      ~sampleCount=2000,
+      ~outputXYPoints=2000,
+      ~truncateTo=Some(100),
+      t: distPlusIngredients,
+    )
     : option(distPlus) => {
   let shape =
     Guesstimator.stringToMixedShape(
       ~string=t.guesstimatorString,
       ~sampleCount,
       ~outputXYPoints,
+      ~truncateTo,
       (),
     );
   let distPlus =

src/distributions/Distributions.re

@@ -127,14 +127,15 @@ module Continuous = {
       // };
 
       let integral = (~cache, t) =>
-        cache
-        |> E.O.default(
+        switch (cache) {
+        | Some(cache) => cache
+        | None =>
           t
           |> xyShape
           |> XYShape.Range.integrateWithTriangles
           |> E.O.toExt("This should not have happened")
-             |> fromShape,
-           );
+          |> fromShape
+        };
       let integralEndY = (~cache, t) => t |> integral(~cache) |> lastY;
       let integralXtoY = (~cache, f, t) =>
         t |> integral(~cache) |> shapeFn(CdfLibrary.Distribution.findY(f));
@@ -151,8 +152,10 @@ module Discrete = {
       type t = DistTypes.discreteShape;
       type integral = DistTypes.continuousShape;
       let integral = (~cache, t) =>
-        cache
-        |> E.O.default(Continuous.make(XYShape.accumulateYs(t), `Stepwise));
+        switch (cache) {
+        | Some(c) => c
+        | None => Continuous.make(XYShape.accumulateYs(t), `Stepwise)
+        };
       let integralEndY = (~cache, t) =>
         t |> integral(~cache) |> Continuous.lastY;
       let minX = XYShape.minX;
@@ -253,9 +256,9 @@ module Mixed = {
             ~cache,
             {continuous, discrete, discreteProbabilityMassFraction} as t: t,
           ) => {
-        cache
-        |> E.O.default(
-             {
+        switch (cache) {
+        | Some(cache) => cache
+        | None =>
           let cont =
             continuous
             |> Continuous.T.Integral.get(~cache=None)
@@ -265,20 +268,15 @@ module Mixed = {
             |> Discrete.T.Integral.get(~cache=None)
             |> Continuous.toLinear
             |> E.O.toExn("")
-                 |> Continuous.T.scaleBy(
-                      ~scale=discreteProbabilityMassFraction,
-                    );
+            |> Continuous.T.scaleBy(~scale=discreteProbabilityMassFraction);
           Continuous.make(
             XYShape.Combine.combineLinear(
-                   Continuous.getShape(cont),
-                   Continuous.getShape(dist),
-                   (a, b) =>
+              Continuous.getShape(cont), Continuous.getShape(dist), (a, b) =>
               a +. b
             ),
             `Linear,
           );
-             },
-           );
+        };
       };
 
       let integralEndY = (~cache, t: t) => {

src/models/GlobalCatastrophe.re

@@ -1,4 +1,4 @@
-let guesstimatorString = "floor(10 to 20)";
+let guesstimatorString = "normal(40,10)";
 
 let makeI = (currentDateTime: MomentRe.Moment.t) => {
   DistPlusIngredients.make(

src/utility/Guesstimator.re

@@ -29,9 +29,15 @@ module Internals = {
   external toCombinedFormat: (string, int, int) => combined = "run";
 
   // todo: Format to correct mass, also normalize the pdf.
-  let toMixedShape = (r: combined): option(DistTypes.shape) => {
+  let toMixedShape =
+      (~truncateTo=Some(500), r: combined): option(DistTypes.shape) => {
+    let continuous = toContinous(r);
     let continuous =
-      toContinous(r) |> Distributions.Continuous.convertToNewLength(100);
+      switch (truncateTo) {
+      | Some(t) =>
+        continuous |> Distributions.Continuous.convertToNewLength(t)
+      | None => continuous
+      };
     let discrete = toDiscrete(r);
     // let continuousProb =
     //   cont |> Distributions.Continuous.T.Integral.sum(~cache=None);
@@ -44,6 +50,12 @@ module Internals = {
 };
 
 let stringToMixedShape =
-    (~string, ~sampleCount=1000, ~outputXYPoints=1000, ()) =>
+    (
+      ~string,
+      ~sampleCount=1000,
+      ~outputXYPoints=1000,
+      ~truncateTo=Some(500),
+      (),
+    ) =>
   Internals.toCombinedFormat(string, sampleCount, outputXYPoints)
-  |> Internals.toMixedShape;
+  |> Internals.toMixedShape(~truncateTo);

src/utility/GuesstimatorLibrary.js

@@ -42,7 +42,7 @@ const toPdf = (values, outputResolutionCount, min, max) => {
 
   let discrete = {xs: frequencies.map(f => f.value), ys: frequencies.map(f => f.percentage)};
   let continuous = {ys: [], xs: []};
-  if (continuousSamples.length > 1){
+  if (continuousSamples.length > 20){
     const samples = new Samples(continuousSamples);
 
     const ratioSize$ = ratioSize(samples);