squiggle/packages/squiggle-lang/__tests__/JS__Test.ts

87 lines
2.4 KiB
TypeScript

import {
run,
Distribution,
resultMap,
squiggleExpression,
} from "../src/js/index";
let testRun = (x: string): squiggleExpression => {
let result = run(x, { sampleCount: 100, xyPointLength: 100 });
expect(result.tag).toEqual("Ok");
if (result.tag === "Ok") {
return result.value;
}
};
function Ok<b>(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("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 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(3.737);
});
test("pdf", () => {
expect(dist.pdf(5.0).value).toBeCloseTo(0.0431);
});
test("cdf", () => {
expect(dist.cdf(5.0).value).toBeCloseTo(0.155);
});
test("inv", () => {
expect(dist.inv(0.5).value).toBeCloseTo(9.458);
});
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("▁▂▅██▅▅▅▆▇█▆▅▃▃▂▂▁▁▁"));
});
});