import { Distribution, resultMap, defaultBindings } from "../../src/js/index"; import { testRun, testRunPartial } from "./TestHelpers"; function Ok(x: b) { return { tag: "Ok", value: x }; } describe("Simple calculations and results", () => { test("mean(normal(5,2))", () => { expect(testRun("mean(normal(5,2))")).toEqual({ tag: "number", value: 5, }); }); test("10+10", () => { let foo = testRun("10 + 10"); expect(foo).toEqual({ tag: "number", value: 20 }); }); }); describe("Log function", () => { test("log(1) = 0", () => { let foo = testRun("log(1)"); expect(foo).toEqual({ tag: "number", value: 0 }); }); }); describe("Array", () => { test("nested Array", () => { expect(testRun("[[1]]")).toEqual({ tag: "array", value: [ { tag: "array", value: [ { tag: "number", value: 1, }, ], }, ], }); }); }); describe("Record", () => { test("Return record", () => { expect(testRun("{a: 1}")).toEqual({ tag: "record", value: { a: { tag: "number", value: 1, }, }, }); }); }); describe("Partials", () => { test("Can pass variables between partials and cells", () => { let bindings = testRunPartial(`x = 5`); let bindings2 = testRunPartial(`y = x + 2`, bindings); expect(testRun(`y + 3`, bindings2)).toEqual({ tag: "number", value: 10, }); }); }); describe("JS Imports", () => { test("Can pass parameters into partials and cells", () => { let bindings = testRunPartial(`y = $x + 2`, defaultBindings, { x: 1 }); let bindings2 = testRunPartial(`z = y + $a`, bindings, { a: 3 }); expect(testRun(`z`, bindings2)).toEqual({ tag: "number", value: 6, }); }); test("Complicated deep parameters", () => { expect( testRun(`$x.y[0][0].w + $x.z + $u.v`, defaultBindings, { x: { y: [[{ w: 1 }]], z: 2 }, u: { v: 3 }, }) ).toEqual({ tag: "number", value: 6, }); }); }); describe("Distribution", () => { //It's important that sampleCount is less than 9. If it's more, than that will create randomness //Also, note, the value should be created using makeSampleSetDist() later on. let env = { sampleCount: 8, xyPointLength: 100 }; let dist1Samples = [3, 4, 5, 6, 6, 7, 10, 15, 30]; let dist1SampleCount = dist1Samples.length; let dist = new Distribution( { tag: "SampleSet", value: [3, 4, 5, 6, 6, 7, 10, 15, 30] }, env ); let dist2 = new Distribution( { tag: "SampleSet", value: [20, 22, 24, 29, 30, 35, 38, 44, 52] }, env ); test("mean", () => { expect(dist.mean().value).toBeCloseTo(9.5555555); }); test("pdf", () => { expect(dist.pdf(5.0).value).toBeCloseTo(0.10499097598222966, 1); }); test("cdf", () => { expect(dist.cdf(5.0).value).toBeCloseTo( dist1Samples.filter((x) => x <= 5).length / dist1SampleCount, 1 ); }); test("inv", () => { expect(dist.inv(0.5).value).toBeCloseTo(6); }); test("toPointSet", () => { expect( resultMap(dist.toPointSet(), (r: Distribution) => r.toString()) ).toEqual(Ok("Point Set Distribution")); }); test("toSparkline", () => { expect(dist.toSparkline(20).value).toEqual("▁▁▃▇█▇▄▂▂▂▁▁▁▁▁▂▂▁▁▁"); }); test("algebraicAdd", () => { expect( resultMap(dist.algebraicAdd(dist2), (r: Distribution) => r.toSparkline(20) ).value ).toEqual(Ok("▁▁▂▄▆████▇▆▄▄▃▃▃▂▁▁▁")); }); test("pointwiseAdd", () => { expect( resultMap(dist.pointwiseAdd(dist2), (r: Distribution) => r.toSparkline(20) ).value ).toEqual(Ok("▁▂██▃▃▃▃▄▅▄▃▃▂▂▂▁▁▁▁")); }); });