Minor touch-ups
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54eab1f204
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@ -139,13 +139,9 @@ module Continuous = {
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module Discrete = {
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let sortedByY = (t: DistTypes.discreteShape) =>
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t
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|> XYShape.T.zip
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|> E.A.stableSortBy(_, ((_, y1), (_, y2)) => y1 > y2 ? 1 : 0);
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t |> XYShape.T.zip |> XYShape.Zipped.sortByY;
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let sortedByX = (t: DistTypes.discreteShape) =>
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t
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|> XYShape.T.zip
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|> E.A.stableSortBy(_, ((x1, _), (x2, _)) => x1 > x2 ? 1 : 0);
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t |> XYShape.T.zip |> XYShape.Zipped.sortByX;
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module T =
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Dist({
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type t = DistTypes.discreteShape;
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@ -159,7 +155,7 @@ module Discrete = {
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t |> integral(~cache) |> Continuous.lastY;
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let minX = XYShape.T.minX;
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let maxX = XYShape.T.maxX;
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let toDiscreteProbabilityMass = t => 1.0;
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let toDiscreteProbabilityMass = _ => 1.0;
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let mapY = XYShape.T.mapY;
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let toShape = (t: t): DistTypes.shape => Discrete(t);
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let toContinuous = _ => None;
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@ -195,6 +191,7 @@ module Discrete = {
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});
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};
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// TODO: I think this shouldn't assume continuous/discrete are normalized to 1.0, and thus should not need the discreteProbabilityMassFraction being separate.
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module Mixed = {
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type t = DistTypes.mixedShape;
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let make =
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@ -253,11 +250,12 @@ module Mixed = {
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DistTypes.MixedPoint.add(c, d);
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};
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// Warning: It's not clear how to update the discreteProbabilityMassFraction, so this may create small errors.
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let truncate =
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(
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~cache=None,
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count,
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{discrete, continuous, discreteProbabilityMassFraction} as t: t,
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{discrete, continuous, discreteProbabilityMassFraction}: t,
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)
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: t => {
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{
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@ -324,7 +322,7 @@ module Mixed = {
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Continuous.make(
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`Linear,
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XYShape.Combine.combineLinear(
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~fn=(a, b) => a +. b,
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~fn=(+.),
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Continuous.getShape(cont),
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Continuous.getShape(dist),
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),
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@ -351,7 +349,7 @@ module Mixed = {
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|> XYShape.YtoX.linear(f);
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};
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// TODO: This functionality is kinda weird, because it seems to assume the cdf adds to 1.0 elsewhere, which wouldn't happen here.
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// TODO: This part really needs to be rethought, I'm quite sure this is just broken. Mapping Ys would change the desired discreteProbabilityMassFraction.
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let mapY =
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(fn, {discrete, continuous, discreteProbabilityMassFraction}: t): t => {
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{
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@ -369,133 +367,101 @@ module Shape = {
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type t = DistTypes.shape;
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type integral = DistTypes.continuousShape;
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// todo: change order of arguments so t goes last.
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// todo: Think of other name here?
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let mapToAll = (t: t, (fn1, fn2, fn3)) =>
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let mapToAll = ((fn1, fn2, fn3), t: t) =>
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switch (t) {
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| Mixed(m) => fn1(m)
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| Discrete(m) => fn2(m)
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| Continuous(m) => fn3(m)
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};
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let fmap = (t: t, (fn1, fn2, fn3)): t =>
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let fmap = ((fn1, fn2, fn3), t: t): t =>
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switch (t) {
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| Mixed(m) => Mixed(fn1(m))
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| Discrete(m) => Discrete(fn2(m))
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| Continuous(m) => Continuous(fn3(m))
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};
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let xToY = (f, t) =>
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mapToAll(
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t,
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(Mixed.T.xToY(f), Discrete.T.xToY(f), Continuous.T.xToY(f)),
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);
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let xToY = f =>
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mapToAll((
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Mixed.T.xToY(f),
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Discrete.T.xToY(f),
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Continuous.T.xToY(f),
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));
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let toShape = (t: t) => t;
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let toContinuous = (t: t) =>
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mapToAll(
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t,
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(
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let toContinuous =
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mapToAll((
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Mixed.T.toContinuous,
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Discrete.T.toContinuous,
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Continuous.T.toContinuous,
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),
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);
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let toDiscrete = (t: t) =>
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mapToAll(
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t,
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(
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));
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let toDiscrete =
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mapToAll((
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Mixed.T.toDiscrete,
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Discrete.T.toDiscrete,
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Continuous.T.toDiscrete,
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),
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);
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));
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let truncate = (~cache=None, i, t: t) =>
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fmap(
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t,
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(
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let truncate = (~cache=None, i) =>
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fmap((
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Mixed.T.truncate(i),
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Discrete.T.truncate(i),
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Continuous.T.truncate(i),
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),
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);
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));
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let toDiscreteProbabilityMass = (t: t) =>
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mapToAll(
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t,
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(
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let toDiscreteProbabilityMass =
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mapToAll((
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Mixed.T.toDiscreteProbabilityMass,
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Discrete.T.toDiscreteProbabilityMass,
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Continuous.T.toDiscreteProbabilityMass,
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),
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);
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));
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let toScaledDiscrete = (t: t) =>
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mapToAll(
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t,
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(
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let toScaledDiscrete =
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mapToAll((
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Mixed.T.toScaledDiscrete,
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Discrete.T.toScaledDiscrete,
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Continuous.T.toScaledDiscrete,
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),
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);
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let toScaledContinuous = (t: t) =>
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mapToAll(
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t,
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(
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));
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let toScaledContinuous =
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mapToAll((
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Mixed.T.toScaledContinuous,
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Discrete.T.toScaledContinuous,
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Continuous.T.toScaledContinuous,
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),
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);
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let minX = (t: t) =>
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mapToAll(t, (Mixed.T.minX, Discrete.T.minX, Continuous.T.minX));
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let integral = (~cache, t: t) => {
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mapToAll(
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t,
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(
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));
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let minX = mapToAll((Mixed.T.minX, Discrete.T.minX, Continuous.T.minX));
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let integral = (~cache) => {
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mapToAll((
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Mixed.T.Integral.get(~cache),
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Discrete.T.Integral.get(~cache),
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Continuous.T.Integral.get(~cache),
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),
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);
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));
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};
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let integralEndY = (~cache, t: t) =>
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mapToAll(
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t,
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(
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let integralEndY = (~cache) =>
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mapToAll((
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Mixed.T.Integral.sum(~cache),
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Discrete.T.Integral.sum(~cache),
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Continuous.T.Integral.sum(~cache),
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),
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);
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let integralXtoY = (~cache, f, t) => {
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mapToAll(
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t,
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(
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));
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let integralXtoY = (~cache, f) => {
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mapToAll((
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Mixed.T.Integral.xToY(~cache, f),
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Discrete.T.Integral.xToY(~cache, f),
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Continuous.T.Integral.xToY(~cache, f),
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),
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);
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));
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};
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let integralYtoX = (~cache, f, t) => {
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mapToAll(
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t,
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(
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let integralYtoX = (~cache, f) => {
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mapToAll((
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Mixed.T.Integral.yToX(~cache, f),
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Discrete.T.Integral.yToX(~cache, f),
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Continuous.T.Integral.yToX(~cache, f),
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),
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);
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));
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};
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let maxX = (t: t) =>
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mapToAll(t, (Mixed.T.maxX, Discrete.T.maxX, Continuous.T.maxX));
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let mapY = (fn, t: t) =>
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fmap(
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t,
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(Mixed.T.mapY(fn), Discrete.T.mapY(fn), Continuous.T.mapY(fn)),
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);
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let maxX = mapToAll((Mixed.T.maxX, Discrete.T.maxX, Continuous.T.maxX));
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let mapY = fn =>
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fmap((
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Mixed.T.mapY(fn),
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Discrete.T.mapY(fn),
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Continuous.T.mapY(fn),
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));
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});
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};
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