112 lines
2.8 KiB
Plaintext
112 lines
2.8 KiB
Plaintext
open Jest
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open Expect
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let env: DistributionOperation.env = {
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sampleCount: 100,
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xyPointLength: 100,
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}
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let {
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normalDist5,
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normalDist10,
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normalDist20,
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normalDist,
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uniformDist,
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betaDist,
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lognormalDist,
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cauchyDist,
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triangularDist,
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exponentialDist,
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} = module(GenericDist_Fixtures)
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let mkNormal = (mean, stdev) => GenericDist_Types.Symbolic(#Normal({mean: mean, stdev: stdev}))
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let {toFloat, toDist, toString, toError} = module(DistributionOperation.Output)
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let {run} = module(DistributionOperation)
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let {fmap} = module(DistributionOperation.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("sparkline", () => {
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let runTest = (
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name: string,
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dist: GenericDist_Types.genericDist,
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expected: DistributionOperation.outputType,
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) => {
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test(name, () => {
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let result = DistributionOperation.run(~env, FromDist(ToString(ToSparkline(20)), dist))
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expect(result)->toEqual(expected)
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})
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}
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runTest(
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"normal",
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normalDist,
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String(`▁▁▁▁▁▂▄▆▇██▇▆▄▂▁▁▁▁▁`),
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)
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runTest(
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"uniform",
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uniformDist,
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String(`████████████████████`),
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)
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runTest("beta", betaDist, String(`▁▄▇████▇▆▅▄▃▃▂▁▁▁▁▁▁`))
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runTest(
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"lognormal",
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lognormalDist,
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String(`▁█▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁`),
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)
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runTest(
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"cauchy",
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cauchyDist,
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String(`▁▁▁▁▁▁▁▁▁██▁▁▁▁▁▁▁▁▁`),
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)
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runTest(
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"triangular",
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triangularDist,
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String(`▁▁▂▃▄▅▆▇████▇▆▅▄▃▂▁▁`),
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)
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runTest(
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"exponential",
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exponentialDist,
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String(`█▅▄▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁`),
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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), normalDist5))
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->outputMap(FromDist(ToFloat(#Mean)))
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->toFloat
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->toExt
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expect(result)->toBeSoCloseTo(5.0, ~digits=0)
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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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test("on sample set", () => {
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let result =
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run(FromDist(ToDist(ToPointSet), normalDist5))
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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)->toBeSoCloseTo(5.0, ~digits=-1)
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})
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})
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