squiggle/packages/squiggle-lang/__tests__/Symbolic_test.res
2022-03-29 16:31:08 -04:00

34 lines
1.4 KiB
Plaintext

open Jest
open Expect
open Js.Array
open SymbolicDist
let makeTest = (~only=false, str, item1, item2) =>
only
? Only.test(str, () => expect(item1) -> toEqual(item2))
: test(str, () => expect(item1) -> toEqual(item2))
let pdfImage = (thePdf, inps) => map(thePdf, inps)
let parameterWiseAdditionHelper = (n1: SymbolicDistTypes.normal, n2: SymbolicDistTypes.normal) => {
let normalDistAtSumMeanConstr = Normal.add(n1, n2)
let normalDistAtSumMean: SymbolicDistTypes.normal = switch normalDistAtSumMeanConstr {
| #Normal(params) => params
}
x => Normal.pdf(x, normalDistAtSumMean)
}
describe("Normal distribution with sparklines", () => {
let normalDistAtMean5: SymbolicDistTypes.normal = {mean: 5.0, stdev: 2.0}
let normalDistAtMean10: SymbolicDistTypes.normal = {mean: 10.0, stdev: 2.0}
let range20Float = E.A.rangeFloat(0, 20) // [0.0,1.0,2.0,3.0,4.0,...19.0,]
let pdfNormalDistAtMean5 = x => Normal.pdf(x, normalDistAtMean5)
let sparklineMean5 = pdfImage(pdfNormalDistAtMean5, range20Float)
makeTest("mean=5", Sparklines.create(sparklineMean5, ()), `▁▂▃▅███▅▃▂▁▁▁▁▁▁▁▁▁▁▁`)
let sparklineMean15 = normalDistAtMean5 -> parameterWiseAdditionHelper(normalDistAtMean10) -> pdfImage(range20Float)
makeTest("parameter-wise addition of two normal distributions", Sparklines.create(sparklineMean15, ()), `▁▁▁▁▁▁▁▁▁▁▂▃▅▇███▇▅▃▂`)
})