diff --git a/src/components/charts/CdfChart__Plain.re b/src/components/charts/CdfChart__Plain.re
index 3e3cee80..62c7a05b 100644
--- a/src/components/charts/CdfChart__Plain.re
+++ b/src/components/charts/CdfChart__Plain.re
@@ -45,7 +45,7 @@ let make =
       ?minX
       ?scale
       ?timeScale
-      discrete={discrete |> E.O.fmap(Shape.Discrete.toJs)}
+      discrete={discrete |> E.O.fmap(XYShape.toJs)}
       height
       marginBottom=50
       marginTop=0
diff --git a/src/core/DistFunctor.re b/src/core/DistFunctor.re
index d9171e67..3f04be51 100644
--- a/src/core/DistFunctor.re
+++ b/src/core/DistFunctor.re
@@ -49,6 +49,12 @@ module Dist = (T: dist) => {
     let xToY = T.integralXtoY;
     let sum = T.integralSum;
   };
+
+  //   This is suboptimal because it could get the cache but doesn't here.
+  let scaleToIntegralSum = (~intendedSum=1.0, t: t) => {
+    let scale = intendedSum /. Integral.sum(~cache=None, t);
+    scaleBy(~scale, t);
+  };
 };
 
 module Continuous = {
@@ -123,6 +129,31 @@ module Discrete = {
 };
 
 module Mixed = {
+  let make =
+      (~continuous, ~discrete, ~discreteProbabilityMassFraction)
+      : DistributionTypes.mixedShape => {
+    continuous,
+    discrete,
+    discreteProbabilityMassFraction,
+  };
+
+  let clean =
+      (t: DistributionTypes.mixedShape): option(DistributionTypes.shape) => {
+    switch (t) {
+    | {
+        continuous: {xyShape: {xs: [||], ys: [||]}},
+        discrete: {xs: [||], ys: [||]},
+      } =>
+      None
+    | {discrete: {xs: [|_|], ys: [|_|]}} => None
+    | {continuous, discrete: {xs: [||], ys: [||]}} =>
+      Some(Continuous(continuous))
+    | {continuous: {xyShape: {xs: [||], ys: [||]}}, discrete} =>
+      Some(Discrete(discrete))
+    | shape => Some(Mixed(shape))
+    };
+  };
+
   module T =
     Dist({
       type t = DistributionTypes.mixedShape;
@@ -312,24 +343,24 @@ module WithMetadata = {
       type t = DistributionTypes.complexPower;
       type integral = DistributionTypes.complexPower;
       let toShape = ({shape, _}: t) => shape;
-      let toContinuous = (t: t) => t |> toShape |> Shape.T.toContinuous;
-      let toDiscrete = (t: t) => t |> toShape |> Shape.T.toDiscrete;
+      let shapeFn = (fn, t: t) => t |> toShape |> fn;
+      let toContinuous = shapeFn(Shape.T.toContinuous);
+      let toDiscrete = shapeFn(Shape.T.toDiscrete);
       // todo: adjust for limit, and the fact that total mass is lower.
-      let xToY = (f, t: t) => t |> toShape |> Shape.T.xToY(f);
-      let minX = (t: t) => t |> toShape |> Shape.T.minX;
-      let maxX = (t: t) => t |> toShape |> Shape.T.maxX;
+      let xToY = f => shapeFn(Shape.T.xToY(f));
+      let minX = shapeFn(Shape.T.minX);
+      let maxX = shapeFn(Shape.T.maxX);
       let fromShape = (shape, t): t => DistributionTypes.update(~shape, t);
       // todo: adjust for limit
       let pointwiseFmap = (fn, {shape, _} as t: t): t =>
         fromShape(Shape.T.pointwiseFmap(fn, shape), t);
-
       let integral = (~cache as _, t: t) =>
         fromShape(Continuous(t.integralCache), t);
       let integralSum = (~cache as _, t: t) =>
-        t |> toShape |> Shape.T.Integral.sum(~cache=Some(t.integralCache));
+        Shape.T.Integral.sum(~cache=Some(t.integralCache), toShape(t));
       //   TODO: Fix this below, obviously. Adjust for limit.
-      let integralXtoY = (~cache as _, f, t) => {
-        1337.0;
+      let integralXtoY = (~cache as _, f, t: t) => {
+        Shape.T.Integral.xToY(~cache=Some(t.integralCache), f, toShape(t));
       };
     });
 };
\ No newline at end of file
diff --git a/src/core/GenericDistribution.re b/src/core/GenericDistribution.re
index a94b7a2b..a34bb581 100644
--- a/src/core/GenericDistribution.re
+++ b/src/core/GenericDistribution.re
@@ -49,7 +49,7 @@ let renderIfNeeded =
   switch (t.generationSource) {
   | GuesstimatorString(s) =>
     Guesstimator.stringToMixedShape(~string=s, ~sampleCount, ())
-    |> E.O.bind(_, Shape.Mixed.clean)
+    |> E.O.bind(_, DistFunctor.Mixed.clean)
     |> E.O.fmap((shape: DistributionTypes.shape) =>
          make(
            ~generationSource=Shape(shape),
@@ -71,13 +71,9 @@ let normalize = (t: genericDistribution): option(genericDistribution) => {
 };
 
 let yIntegral = (t: DistributionTypes.genericDistribution, x) => {
-  let addInitialMass = n => n +. Domain.initialProbabilityMass(t.domain);
-  let normalize = n => n *. Domain.normalizeProbabilityMass(t.domain);
   switch (t) {
   | {generationSource: Shape(shape)} =>
-    Shape.T.yIntegral(shape, x)
-    |> E.O.fmap(addInitialMass)
-    |> E.O.fmap(normalize)
+    Some(DistFunctor.Shape.T.Integral.xToY(~cache=None, x, shape))
   | _ => None
   };
 };
diff --git a/src/core/MixedShapeBuilder.re b/src/core/MixedShapeBuilder.re
index af2e7e8b..b571f57a 100644
--- a/src/core/MixedShapeBuilder.re
+++ b/src/core/MixedShapeBuilder.re
@@ -17,7 +17,7 @@ let build = (~continuous, ~discrete, ~assumptions) =>
     } =>
     // TODO: Fix this, it's wrong :(
     Some(
-      Shape.Mixed.make(
+      DistFunctor.Mixed.make(
         ~continuous,
         ~discrete,
         ~discreteProbabilityMassFraction=r,
@@ -30,7 +30,7 @@ let build = (~continuous, ~discrete, ~assumptions) =>
       discreteProbabilityMass: Some(r),
     } =>
     Some(
-      Shape.Mixed.make(
+      DistFunctor.Mixed.make(
         ~continuous,
         ~discrete,
         ~discreteProbabilityMassFraction=r,
@@ -56,10 +56,12 @@ let build = (~continuous, ~discrete, ~assumptions) =>
       discrete: ADDS_TO_CORRECT_PROBABILITY,
       discreteProbabilityMass: None,
     } =>
-    let discreteProbabilityMassFraction = Shape.Discrete.ySum(discrete);
-    let discrete = Shape.Discrete.scaleYToTotal(1.0, discrete);
+    let discreteProbabilityMassFraction =
+      DistFunctor.Discrete.T.Integral.sum(~cache=None, discrete);
+    let discrete =
+      DistFunctor.Discrete.T.scaleToIntegralSum(~intendedSum=1.0, discrete);
     Some(
-      Shape.Mixed.make(
+      DistFunctor.Mixed.make(
         ~continuous,
         ~discrete,
         ~discreteProbabilityMassFraction,
diff --git a/src/core/Shape.re b/src/core/Shape.re
index 0cc1872d..801f23af 100644
--- a/src/core/Shape.re
+++ b/src/core/Shape.re
@@ -115,11 +115,11 @@ let max = (f1: option(float), f2: option(float)) =>
   };
 
 module Mixed = {
-  let make = (~continuous, ~discrete, ~discreteProbabilityMassFraction) => {
-    continuous,
-    discrete,
-    discreteProbabilityMassFraction,
-  };
+  // let make = (~continuous, ~discrete, ~discreteProbabilityMassFraction) => {
+  //   continuous,
+  //   discrete,
+  //   discreteProbabilityMassFraction,
+  // };
 
   let minX = (t: DistributionTypes.mixedShape) =>
     min(t.continuous |> Continuous.minX, t.discrete |> Discrete.minX);
@@ -163,193 +163,135 @@ module Mixed = {
     | _ => None
     };
   };
+} /* }*/;
 
-  let clean = (t: DistributionTypes.mixedShape) =>
-    switch (t) {
-    | {
-        continuous: {xyShape: {xs: [||], ys: [||]}},
-        discrete: {xs: [||], ys: [||]},
-      } =>
-      None
-    | {discrete: {xs: [|_|], ys: [|_|]}} => None
-    | {continuous, discrete: {xs: [||], ys: [||]}} =>
-      Some(Continuous(continuous))
-    | {continuous: {xyShape: {xs: [||], ys: [||]}}, discrete} =>
-      Some(Discrete(discrete))
-    | shape => Some(Mixed(shape))
-    };
-};
+// module T = {
+//   type t = DistributionTypes.shape;
 
-module T = {
-  type t = DistributionTypes.shape;
+//   let y = (t: t, x: float) =>
+//     switch (t) {
+//     | Mixed(m) => `mixed(Mixed.findY(m, x))
+//     | Discrete(discreteShape) => `discrete(Discrete.findY(x, discreteShape))
+//     | Continuous(continuousShape) =>
+//       `continuous(Continuous.findY(x, continuousShape))
+//     };
 
-  let y = (t: t, x: float) =>
-    switch (t) {
-    | Mixed(m) => `mixed(Mixed.findY(m, x))
-    | Discrete(discreteShape) => `discrete(Discrete.findY(x, discreteShape))
-    | Continuous(continuousShape) =>
-      `continuous(Continuous.findY(x, continuousShape))
-    };
+//   let yIntegral = (t: t, x: float) =>
+//     switch (t) {
+//     | Mixed(m) => Mixed.findYIntegral(x, m)
+//     | Discrete(discreteShape) =>
+//       Discrete.findIntegralY(x, discreteShape) |> E.O.some
+//     | Continuous(continuousShape) =>
+//       Continuous.findIntegralY(x, continuousShape)
+//     };
 
-  let yIntegral = (t: t, x: float) =>
-    switch (t) {
-    | Mixed(m) => Mixed.findYIntegral(x, m)
-    | Discrete(discreteShape) =>
-      Discrete.findIntegralY(x, discreteShape) |> E.O.some
-    | Continuous(continuousShape) =>
-      Continuous.findIntegralY(x, continuousShape)
-    };
+//   let minX = (t: t) =>
+//     switch (t) {
+//     | Mixed(m) => Mixed.minX(m)
+//     | Discrete(discreteShape) => Discrete.minX(discreteShape)
+//     | Continuous(continuousShape) => Continuous.minX(continuousShape)
+//     };
 
-  let minX = (t: t) =>
-    switch (t) {
-    | Mixed(m) => Mixed.minX(m)
-    | Discrete(discreteShape) => Discrete.minX(discreteShape)
-    | Continuous(continuousShape) => Continuous.minX(continuousShape)
-    };
+//   let maxX = (t: t) =>
+//     switch (t) {
+//     | Mixed(m) => Mixed.maxX(m)
+//     | Discrete(discreteShape) => Discrete.maxX(discreteShape)
+//     | Continuous(continuousShape) => Continuous.maxX(continuousShape)
+//     };
 
-  let maxX = (t: t) =>
-    switch (t) {
-    | Mixed(m) => Mixed.maxX(m)
-    | Discrete(discreteShape) => Discrete.maxX(discreteShape)
-    | Continuous(continuousShape) => Continuous.maxX(continuousShape)
-    };
+//   let discreteComponent = (t: t) =>
+//     switch (t) {
+//     | Mixed({discrete}) => Some(discrete)
+//     | Discrete(d) => Some(d)
+//     | Continuous(_) => None
+//     };
 
-  let discreteComponent = (t: t) =>
-    switch (t) {
-    | Mixed({discrete}) => Some(discrete)
-    | Discrete(d) => Some(d)
-    | Continuous(_) => None
-    };
+//   let continuousComponent = (t: t) =>
+//     switch (t) {
+//     | Mixed({continuous}) => Some(continuous)
+//     | Continuous(c) => Some(c)
+//     | Discrete(_) => None
+//     };
+//   // let scaledContinuousComponent = (t: t): option(continuousShape) => {
+//   //   switch (t) {
+//   //   | Mixed({continuous, discreteProbabilityMassFraction}) =>
+//   //     Continuous.scalePdf(
+//   //       ~scaleTo=1.0 -. discreteProbabilityMassFraction,
+//   //       continuous,
+//   //     )
+//   //   | Discrete(_) => None
+//   //   | Continuous(c) => Some(c)
+//   //   };
+//   // };
+//   // let scaledDiscreteComponent = (t: t): option(discreteShape) => {
+//   //   switch (t) {
+//   //   | Mixed({discrete, discreteProbabilityMassFraction}) =>
+//   //     Some(Discrete.scaleYToTotal(discreteProbabilityMassFraction, discrete))
+//   //   | Discrete(d) => Some(d)
+//   //   | Continuous(_) => None
+//   //   };
+//   // };
+//   // let pointwiseFmap = (fn, t: t): shape =>
+//   //   switch (t) {
+//   //   | Mixed({discrete, continuous, discreteProbabilityMassFraction}) =>
+//   //     Mixed({
+//   //       continuous: XYShape.pointwiseMap(fn, continuous),
+//   //       discrete: XYShape.pointwiseMap(fn, discrete),
+//   //       discreteProbabilityMassFraction,
+//   //     })
+//   //   | Discrete(x) => Discrete(XYShape.pointwiseMap(fn, x))
+//   //   | Continuous(x) => Continuous(XYShape.pointwiseMap(fn, x))
+//   //   };
+//   // module Cdf = {
+//   //   let normalizeCdf = (t: DistributionTypes.shape) => {
+//   //     switch (t) {
+//   //     | Mixed({continuous, discrete, discreteProbabilityMassFraction}) =>
+//   //       Mixed({
+//   //         continuous: continuous |> Continuous.normalizeCdf,
+//   //         discrete: discrete |> Discrete.scaleYToTotal(1.0),
+//   //         discreteProbabilityMassFraction,
+//   //       })
+//   //     | Discrete(d) => Discrete(d |> Discrete.scaleYToTotal(1.0))
+//   //     | Continuous(continuousShape) =>
+//   //       Continuous(Continuous.normalizeCdf(continuousShape))
+//   //     };
+//   //   };
+//   // };
+// };
 
-  let continuousComponent = (t: t) =>
-    switch (t) {
-    | Mixed({continuous}) => Some(continuous)
-    | Continuous(c) => Some(c)
-    | Discrete(_) => None
-    };
+// module PdfCdfShape = {
+//   type t = pdfCdfCombo;
+//   let pdf = (t: t) =>
+//     switch (t.pdf) {
+//     | Mixed(pdf) => Mixed(pdf)
+//     | Discrete(pdf) => Discrete(pdf)
+//     | Continuous(pdf) => Continuous(pdf)
+//     };
+//   let cdf = (t: t) => t.cdf;
+// };
 
-  // let scaledContinuousComponent = (t: t): option(continuousShape) => {
-  //   switch (t) {
-  //   | Mixed({continuous, discreteProbabilityMassFraction}) =>
-  //     Continuous.scalePdf(
-  //       ~scaleTo=1.0 -. discreteProbabilityMassFraction,
-  //       continuous,
-  //     )
-  //   | Discrete(_) => None
-  //   | Continuous(c) => Some(c)
-  //   };
-  // };
+// type distributionUnit =
+//   | UnspecifiedDistribution
+//   | TimeDistribution(TimeTypes.timeVector);
 
-  // let scaledDiscreteComponent = (t: t): option(discreteShape) => {
-  //   switch (t) {
-  //   | Mixed({discrete, discreteProbabilityMassFraction}) =>
-  //     Some(Discrete.scaleYToTotal(discreteProbabilityMassFraction, discrete))
-  //   | Discrete(d) => Some(d)
-  //   | Continuous(_) => None
-  //   };
-  // };
+// type withLimitedDomain = {
+//   domain,
+//   dist: pdfCdfCombo,
+// };
 
-  // let pointwiseFmap = (fn, t: t): shape =>
-  //   switch (t) {
-  //   | Mixed({discrete, continuous, discreteProbabilityMassFraction}) =>
-  //     Mixed({
-  //       continuous: XYShape.pointwiseMap(fn, continuous),
-  //       discrete: XYShape.pointwiseMap(fn, discrete),
-  //       discreteProbabilityMassFraction,
-  //     })
-  //   | Discrete(x) => Discrete(XYShape.pointwiseMap(fn, x))
-  //   | Continuous(x) => Continuous(XYShape.pointwiseMap(fn, x))
-  //   };
+// module WithLimitedDomain = {
+//   type t = withLimitedDomain;
+//   let dist = (t: t) => t.dist;
+//   let pdf = (t: t) => PdfCdfShape.pdf(t.dist);
+//   let cdf = (t: t) => PdfCdfShape.cdf(t.dist);
+//   // TODO: This is bad, obviously needs to be fixed.
+//   let distScaleFactor = (t: t) => 3.0;
+//   // let scaledPdfShape = (scaleFactor, t: t) =>
+//   //   t |> pdf |> T.pointwiseFmap(r => r *. scaleFactor);
+//   // let scaledCdfShape = (scaleFactor, t: t) =>
+//   //   t |> cdf |> XYShape.pointwiseMap(r => r *. scaleFactor);
+// };
 
-  // module Cdf = {
-  //   let normalizeCdf = (t: DistributionTypes.shape) => {
-  //     switch (t) {
-  //     | Mixed({continuous, discrete, discreteProbabilityMassFraction}) =>
-  //       Mixed({
-  //         continuous: continuous |> Continuous.normalizeCdf,
-  //         discrete: discrete |> Discrete.scaleYToTotal(1.0),
-  //         discreteProbabilityMassFraction,
-  //       })
-  //     | Discrete(d) => Discrete(d |> Discrete.scaleYToTotal(1.0))
-  //     | Continuous(continuousShape) =>
-  //       Continuous(Continuous.normalizeCdf(continuousShape))
-  //     };
-  //   };
-  // };
-
-  module Pdf = {
-    // TODO: This is wrong. The discrete component should be made continuous when integrating.
-    // let toCdf = (t: t) =>
-    //   switch (t) {
-    //   | Mixed({continuous, discrete, discreteProbabilityMassFraction}) =>
-    //     Some(
-    //       Mixed({
-    //         continuous: Continuous.toCdf(continuous) |> E.O.toExt(""),
-    //         discrete: discrete |> Discrete.integrate,
-    //         discreteProbabilityMassFraction,
-    //       }),
-    //     )
-    //   | Discrete(discrete) =>
-    //     Some(Continuous(discrete |> Discrete.integrate))
-    //   | Continuous(continuous) =>
-    //     Continuous.toCdf(continuous) |> E.O.fmap(e => Continuous(e))
-    //   };
-    // let normalize = (t: DistributionTypes.shape): option(shape) => {
-    //   switch (t) {
-    //   | Mixed({continuous, discrete, discreteProbabilityMassFraction}) =>
-    //     continuous
-    //     |> Continuous.scalePdf(~scaleTo=1.0)
-    //     |> E.O.fmap(r =>
-    //          Mixed({
-    //            continuous: r,
-    //            discrete: discrete |> Discrete.scaleYToTotal(1.0),
-    //            discreteProbabilityMassFraction,
-    //          })
-    //        )
-    //   | Discrete(d) => Some(Discrete(d |> Discrete.scaleYToTotal(1.0)))
-    //   | Continuous(continuousShape) =>
-    //     continuousShape
-    //     |> Continuous.scalePdf(~scaleTo=1.0)
-    //     |> E.O.fmap(r => Continuous(r))
-    //   };
-    // };
-  };
-};
-
-module PdfCdfShape = {
-  type t = pdfCdfCombo;
-  let pdf = (t: t) =>
-    switch (t.pdf) {
-    | Mixed(pdf) => Mixed(pdf)
-    | Discrete(pdf) => Discrete(pdf)
-    | Continuous(pdf) => Continuous(pdf)
-    };
-  let cdf = (t: t) => t.cdf;
-};
-
-type distributionUnit =
-  | UnspecifiedDistribution
-  | TimeDistribution(TimeTypes.timeVector);
-
-type withLimitedDomain = {
-  domain,
-  dist: pdfCdfCombo,
-};
-
-module WithLimitedDomain = {
-  type t = withLimitedDomain;
-  let dist = (t: t) => t.dist;
-  let pdf = (t: t) => PdfCdfShape.pdf(t.dist);
-  let cdf = (t: t) => PdfCdfShape.cdf(t.dist);
-  // TODO: This is bad, obviously needs to be fixed.
-  let distScaleFactor = (t: t) => 3.0;
-  // let scaledPdfShape = (scaleFactor, t: t) =>
-  //   t |> pdf |> T.pointwiseFmap(r => r *. scaleFactor);
-  // let scaledCdfShape = (scaleFactor, t: t) =>
-  //   t |> cdf |> XYShape.pointwiseMap(r => r *. scaleFactor);
-};
-
-type withTimeVector = {
-  timeVector: TimeTypes.timeVector,
-  dist: withLimitedDomain,
-};
\ No newline at end of file
+// type withTimeVector = {
+//   timeVector: TimeTypes.timeVector,
+//   dist: withLimitedDomain,
\ No newline at end of file