Minor cleanup

src/lib/Chart.re

@@ -0,0 +1,20 @@
+[@react.component]
+let make =
+    (
+      ~data,
+      ~minX=None,
+      ~maxX=None,
+      ~width=300,
+      ~height=50,
+      ~color=`hex("7e9db7"),
+    ) =>
+  <ForetoldComponents.CdfChart__Base
+    width=0
+    height
+    ?minX
+    ?maxX
+    marginBottom=20
+    showVerticalLine=false
+    showDistributionLines=false
+    primaryDistribution=data
+  />;

src/lib/Prop.re

@@ -40,10 +40,7 @@ module Value = {
       let cdf: Types.distribution =
         CdfLibrary.Distribution.fromString(r, 2000);
       <>
-        <ForetoldComponents.CdfChart__Large
-          cdf={Types.toComponentsDist(cdf)}
-          width={Some(400)}
-        />
+        <Chart data={cdf |> CdfLibrary.Distribution.toPdf |> Types.toJs} />
         {r |> ReasonReact.string}
       </>;
     | Probability(r) =>

src/lib/Types.re

@@ -3,6 +3,10 @@ type distribution = {
   ys: array(float),
 };
 
+let toJs = (t: distribution) => {
+  {"xs": t.xs, "ys": t.ys};
+};
+
 let toComponentsDist = (d: distribution): ForetoldComponents.Types.Dist.t => {
   xs: d.xs,
   ys: d.ys,
@@ -15,3 +19,36 @@ let foo = (b: pdf) => 3.9;
 let bar: cdf = {xs: [||], ys: [||]};
 
 let cc = foo(bar);
+
+module LimitedDomainCdf = {
+  type t = {
+    distribution,
+    domainMaxX: float,
+  };
+
+  let fromCdf = (cdf: cdf, domainMaxX: float, probabilityAtMaxX: float) => {
+    let distribution: distribution = {
+      xs: cdf.xs,
+      ys: cdf.ys |> E.A.fmap(r => r *. probabilityAtMaxX),
+    };
+    {distribution, domainMaxX};
+  };
+
+  let _lastElement = (a: array('a)) =>
+    switch (Belt.Array.size(a)) {
+    | 0 => None
+    | n => Belt.Array.get(a, n)
+    };
+
+  let probabilityBeforeDomainMax = (t: t) => _lastElement(t.distribution.ys);
+
+  let chanceByX = (t: t) => t.distribution;
+
+  let domainMaxX = (t: t) => t.domainMaxX;
+  // let probabilityDistribution = (t: t) =>
+  //   t.distribution |> CdfLibrary.Distribution.toPdf;
+  // let probability = (t: t, xPoint: float) =>
+  //   CdfLibrary.Distribution.findY(xPoint, probabilityDistribution(t));
+  // let cumulativeProbability = (t: t, xPoint: float) =>
+  //   CdfLibrary.Distribution.findY(xPoint, t.distribution);
+};

src/utility/GuesstimatorLibrary.js

@@ -44,7 +44,6 @@ const toPdf = (values, sampleCount, min, max) => {
 };
 
 let run = (text, sampleCount, inputs=[], min=false, max=false) => {
-    console.log(text);
     let [_error, item] = Guesstimator.parse({ text: "=" + text });
     const { parsedInput } = item;
     const { guesstimateType } = parsedInput;