Remove hardcoded enum strings
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25565ce5c0
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@ -1,6 +1,6 @@
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import { SqProject, SqValue } from "../../src/js";
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import { SqNumberValue } from "../../src/js/SqValue";
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import { failDefault, testRun } from "./TestHelpers";
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import { testRun } from "./TestHelpers";
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function Ok<b>(x: b) {
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return { tag: "Ok", value: x };
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@ -9,28 +9,11 @@ function Ok<b>(x: b) {
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describe("Simple calculations and results", () => {
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test("mean(normal(5,2))", () => {
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const result = testRun("mean(normal(5,2))"); // FIXME
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expect(result.tag).toEqual("Number");
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switch (result.tag) {
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case "Number":
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expect(result.value).toEqual(5);
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break;
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default:
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fail();
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}
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// tag: "number",
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// value: 5,
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// });
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expect(result.value).toEqual(5);
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});
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test("10+10", () => {
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let result = testRun("10 + 10") as SqNumberValue;
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expect(result.tag).toEqual("Number");
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switch (result.tag) {
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case "Number":
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expect(result.value).toEqual(20);
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break;
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default:
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fail();
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}
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expect(result.value).toEqual(20);
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});
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});
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// describe("Log function", () => {
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@ -1,5 +1,5 @@
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// import { errorValueToString } from "../../src/js/index";
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import { testRun, expectErrorToBeBounded } from "./TestHelpers";
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import { testRun, expectErrorToBeBounded, SqValueTag } from "./TestHelpers";
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import * as fc from "fast-check";
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describe("Mean of mixture is weighted average of means", () => {
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@ -20,7 +20,7 @@ describe("Mean of mixture is weighted average of means", () => {
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let lognormalWeight = y / weightDenom;
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let betaMean = 1 / (1 + b / a);
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let lognormalMean = m + s ** 2 / 2;
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if (res.tag === "Number") {
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if (res.tag === SqValueTag.Number) {
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expectErrorToBeBounded(
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res.value,
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betaWeight * betaMean + lognormalWeight * lognormalMean,
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@ -1,4 +1,4 @@
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import { expectErrorToBeBounded, failDefault, testRun } from "./TestHelpers";
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import { expectErrorToBeBounded, testRun, SqValueTag } from "./TestHelpers";
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import * as fc from "fast-check";
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// Beware: float64Array makes it appear in an infinite loop.
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@ -19,7 +19,7 @@ let arrayGen = () =>
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let makeSampleSet = (samples: number[]) => {
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let sampleList = samples.map((x) => x.toFixed(20)).join(",");
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let result = testRun(`SampleSet.fromList([${sampleList}])`);
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if (result.tag === "Distribution") {
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if (result.tag === SqValueTag.Distribution) {
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return result.value;
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} else {
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fail("Expected to be distribution");
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@ -104,7 +104,7 @@ describe("cumulative density function", () => {
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} else if (typeof cdfValue == "number") {
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expect(Math.round(1e5 * cdfValue) / 1e5).toBeLessThanOrEqual(1);
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} else {
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failDefault();
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fail();
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}
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})
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);
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@ -166,7 +166,7 @@ describe("mean is mean", () => {
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1
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);
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} else {
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failDefault();
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fail();
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}
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}
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)
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@ -191,7 +191,7 @@ describe("mean is mean", () => {
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1
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);
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} else {
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failDefault();
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fail();
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}
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}
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)
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@ -1,4 +1,5 @@
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import { run, SqValue } from "../../src/js";
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import { run, SqValueTag } from "../../src/js";
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export { SqValueTag };
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export function testRun(x: string) {
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const { result, bindings } = run(x); // FIXME - set environment
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@ -20,10 +21,6 @@ export function testRun(x: string) {
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}
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}
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export function failDefault() {
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expect("be reached").toBe("codepath should never");
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}
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/**
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* This appears also in `TestHelpers.res`. According to https://www.math.net/percent-error, it computes
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* absolute error when numerical stability concerns make me not want to compute relative error.
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