squiggle/packages/squiggle-lang/__tests__/TS/JS_test.ts

146 lines
3.8 KiB
TypeScript

import { Distribution, resultMap, defaultBindings } from "../../src/js/index";
import { testRun, testRunPartial } from "./TestHelpers";
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("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("Parameters", () => {
test("Can pass parameters into partials and cells", () => {
let bindings = testRunPartial(`y = $x + 2`, defaultBindings, { x: 1 });
let bindings2 = testRunPartial(`z = y + $a`, bindings, { a: 3 });
expect(testRun(`z`, bindings2)).toEqual({
tag: "number",
value: 17,
});
});
test("Complicated deep parameters", () => {
expect(
testRun(`$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("▁▂██▃▃▃▃▄▅▄▃▃▂▂▂▁▁▁▁"));
});
});