77 lines
2.4 KiB
Plaintext
77 lines
2.4 KiB
Plaintext
open Jest
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open Expect
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let env: GenericDist_GenericOperation.env = {
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sampleCount: 100,
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xyPointLength: 100,
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}
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let normalDist: GenericDist_Types.genericDist = #Symbolic(#Normal({mean: 5.0, stdev: 2.0}))
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let normalDist10: GenericDist_Types.genericDist = #Symbolic(#Normal({mean: 10.0, stdev: 2.0}))
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let normalDist20: GenericDist_Types.genericDist = #Symbolic(#Normal({mean: 20.0, stdev: 2.0}))
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let uniformDist: GenericDist_Types.genericDist = #Symbolic(#Uniform({low: 9.0, high: 10.0}))
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let {toFloat, toDist, toString, toError} = module(GenericDist_GenericOperation.Output)
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let {run} = module(GenericDist_GenericOperation)
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let {fmap} = module(GenericDist_GenericOperation.Output)
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let run = run(~env)
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let outputMap = fmap(~env)
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let toExt: option<'a> => 'a = E.O.toExt(
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"Should be impossible to reach (This error is in test file)",
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)
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describe("normalize", () => {
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test("has no impact on normal dist", () => {
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let result = run(#fromDist(#toDist(#normalize), normalDist))
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expect(result)->toEqual(Dist(normalDist))
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})
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})
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describe("mean", () => {
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test("for a normal distribution", () => {
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let result = GenericDist_GenericOperation.run(~env, #fromDist(#toFloat(#Mean), normalDist))
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expect(result)->toEqual(Float(5.0))
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})
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})
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describe("mixture", () => {
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test("on two normal distributions", () => {
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let result =
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run(#mixture([(normalDist10, 0.5), (normalDist20, 0.5)]))
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->outputMap(#fromDist(#toFloat(#Mean)))
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->toFloat
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->toExt
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expect(result)->toBeCloseTo(15.28)
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})
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})
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describe("toPointSet", () => {
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test("on symbolic normal distribution", () => {
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let result =
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run(#fromDist(#toDist(#toPointSet), normalDist))
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->outputMap(#fromDist(#toFloat(#Mean)))
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->toFloat
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->toExt
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expect(result)->toBeCloseTo(5.09)
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})
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test("on sample set distribution with under 4 points", () => {
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let result =
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run(#fromDist(#toDist(#toPointSet), #SampleSet([0.0, 1.0, 2.0, 3.0])))->outputMap(
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#fromDist(#toFloat(#Mean)),
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)
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expect(result)->toEqual(GenDistError(Other("Converting sampleSet to pointSet failed")))
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})
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Skip.test("on sample set", () => {
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let result =
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run(#fromDist(#toDist(#toPointSet), normalDist))
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->outputMap(#fromDist(#toDist(#toSampleSet(1000))))
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->outputMap(#fromDist(#toDist(#toPointSet)))
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->outputMap(#fromDist(#toFloat(#Mean)))
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->toFloat
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->toExt
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expect(result)->toBeCloseTo(5.09)
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})
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})
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