(rebase): begin setup for big redo
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commit
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@ -0,0 +1,20 @@
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open Jest
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open Expect
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open TestHelpers
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describe("Mean", () => {
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let distributions = list{
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normalMake(0.0, 1e0),
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betaMake(2e0, 4e0),
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exponentialMake(1.234e0),
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uniformMake(7e0, 1e1),
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cauchyMake(1e0, 1e0),
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lognormalMake(1e0, 1e0),
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triangularMake(1e0, 1e1, 5e1),
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floatMake(1e1)
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}
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test("addition", () => {
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true -> expect -> toBe(true)
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})
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})
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@ -2,14 +2,6 @@ open Jest
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open Expect
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open TestHelpers
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// TODO: use Normal.make (etc.), but preferably after the new validation dispatch is in.
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let mkNormal = (mean, stdev) => GenericDist_Types.Symbolic(#Normal({mean: mean, stdev: stdev}))
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let mkBeta = (alpha, beta) => GenericDist_Types.Symbolic(#Beta({alpha: alpha, beta: beta}))
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let mkExponential = rate => GenericDist_Types.Symbolic(#Exponential({rate: rate}))
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let mkUniform = (low, high) => GenericDist_Types.Symbolic(#Uniform({low: low, high: high}))
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let mkCauchy = (local, scale) => GenericDist_Types.Symbolic(#Cauchy({local: local, scale: scale}))
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let mkLognormal = (mu, sigma) => GenericDist_Types.Symbolic(#Lognormal({mu: mu, sigma: sigma}))
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describe("mixture", () => {
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testAll(
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"fair mean of two normal distributions",
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@ -19,9 +19,24 @@ let run = DistributionOperation.run(~env)
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let outputMap = fmap(~env)
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let unreachableInTestFileMessage = "Should be impossible to reach (This error is in test file)"
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let toExtFloat: option<float> => float = E.O.toExt(unreachableInTestFileMessage)
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let toExtDist: option<GenericDist_Types.genericDist> => GenericDist_Types.genericDist = E.O.toExt(
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unreachableInTestFileMessage,
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)
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let toExtDist: option<DistributionTypes.genericDist> => DistributionTypes.genericDist = E.O.toExt(unreachableInTestFileMessage)
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// let toExt: option<'a> => 'a = E.O.toExt(unreachableInTestFileMessage)
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let unpackFloat = x => x->toFloat->toExtFloat
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let unpackDist = y => y->toDist->toExtDist
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let unpackFloat = x => x -> toFloat -> toExtFloat
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let unpackDist = y => y -> toDist -> toExtDist
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// TODO: use Normal.make (etc.), but preferably after the new validation dispatch is in.
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let mkNormal = (mean, stdev) => DistributionTypes.Symbolic(#Normal({mean: mean, stdev: stdev}))
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let mkBeta = (alpha, beta) => DistributionTypes.Symbolic(#Beta({alpha: alpha, beta: beta}))
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let mkExponential = rate => DistributionTypes.Symbolic(#Exponential({rate: rate}))
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let mkUniform = (low, high) => DistributionTypes.Symbolic(#Uniform({low: low, high: high}))
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let mkCauchy = (local, scale) => DistributionTypes.Symbolic(#Cauchy({local: local, scale: scale}))
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let mkLognormal = (mu, sigma) => DistributionTypes.Symbolic(#Lognormal({mu: mu, sigma: sigma}))
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let normalMake = SymbolicDist.Normal.make
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let betaMake = SymbolicDist.Beta.make
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let exponentialMake = SymbolicDist.Exponential.make
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let uniformMake = SymbolicDist.Uniform.make
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let cauchyMake = SymbolicDist.Cauchy.make
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let lognormalMake = SymbolicDist.Lognormal.make
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let triangularMake = SymbolicDist.Triangular.make
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let floatMake = SymbolicDist.Float.make
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@ -260,6 +260,12 @@ module L = {
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let update = Rationale.RList.update
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let iter = List.iter
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let findIndex = Rationale.RList.findIndex
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let completeGraph = xs => {
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// TODO
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let n = length(xs)
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let result = n
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n
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}
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}
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/* A for Array */
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