36 lines
1.8 KiB
Plaintext
36 lines
1.8 KiB
Plaintext
|
open Jest
|
||
|
|
open Expect
|
||
|
|
|
||
|
|
let env: DistributionOperation.env = {
|
||
|
|
sampleCount: 100,
|
||
|
|
xyPointLength: 100,
|
||
|
|
}
|
||
|
|
|
||
|
|
let normalDist: GenericDist_Types.genericDist = Symbolic(#Normal({mean: 5.0, stdev: 2.0}))
|
||
|
|
let uniformDist: GenericDist_Types.genericDist = Symbolic(#Uniform({low: 9.0, high: 10.0}))
|
||
|
|
let betaDist: GenericDist_Types.genericDist = Symbolic(#Beta({alpha: 2.0, beta: 5.0}))
|
||
|
|
let lognormalDist: GenericDist_Types.genericDist = Symbolic(#Lognormal({mu: 0.0, sigma: 1.0}))
|
||
|
|
let cauchyDist: GenericDist_Types.genericDist = Symbolic(#Cauchy({local: 1.0, scale: 1.0}))
|
||
|
|
let triangularDist: GenericDist_Types.genericDist = Symbolic(#Triangular({low: 1.0, medium: 2.0, high: 3.0}))
|
||
|
|
let exponentialDist: GenericDist_Types.genericDist = Symbolic(#Exponential({rate: 2.0}))
|
||
|
|
|
||
|
|
let runTest = (name: string, dist : GenericDist_Types.genericDist, expected: string) => {
|
||
|
|
test(name, () => {
|
||
|
|
let result = GenericDist.toSparkline(~xyPointLength=100, ~sampleCount=100, ~buckets=20, dist)
|
||
|
|
switch result {
|
||
|
|
| Ok(sparkline) => expect(sparkline)->toEqual(expected)
|
||
|
|
| Error(err) => expect("Error")->toEqual(expected)
|
||
|
|
}
|
||
|
|
})
|
||
|
|
}
|
||
|
|
|
||
|
|
describe("sparkline of generic distribution", () => {
|
||
|
|
runTest("normal", normalDist, `▁▁▁▁▂▃▄▆▇██▇▆▄▃▂▁▁▁`)
|
||
|
|
runTest("uniform", uniformDist, `████████████████████`)
|
||
|
|
runTest("beta", uniformDist, `████████████████████`)
|
||
|
|
runTest("lognormal", lognormalDist, `█▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁`)
|
||
|
|
runTest("cauchy", cauchyDist, `▁▁▁▁▁▁▁▁▁██▁▁▁▁▁▁▁▁▁`)
|
||
|
|
runTest("triangular", triangularDist, `▁▂▃▄▄▅▆▇████▇▆▅▄▄▃▂▁`)
|
||
|
|
runTest("exponential", exponentialDist, `█▆▄▃▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁`)
|
||
|
|
})
|