code review.
This commit is contained in:
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6
nixos.sh
6
nixos.sh
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@ -1,12 +1,14 @@
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#!/usr/bin/env bash
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# This script is only relevant if you're rolling nixos.
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# Esy (a bisect_ppx dependency/build tool) is borked on nixos without using an FHS shell. https://github.com/esy/esy/issues/858
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# We need to patchelf rescript executables. https://github.com/NixOS/nixpkgs/issues/107375
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set -x
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fhsShellName="squiggle-development"
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# Esy (a bisect_ppx dependency/build tool) is borked on nixos without using an FHS shell. https://github.com/esy/esy/issues/858
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fhsShellDotNix="{pkgs ? import <nixpkgs> {} }: (pkgs.buildFHSUserEnv { name = \"${fhsShellName}\"; targetPkgs = pkgs: [pkgs.yarn]; runScript = \"yarn\"; }).env"
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nix-shell - <<<"$fhsShellDotNix"
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# We need to patchelf rescript executables. https://github.com/NixOS/nixpkgs/issues/107375
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theLd=$(patchelf --print-interpreter $(which mkdir))
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patchelf --set-interpreter $theLd ./node_modules/gentype/gentype.exe
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patchelf --set-interpreter $theLd ./node_modules/rescript/linux/*.exe
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@ -1,44 +1,26 @@
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import { errorValueToString } from "../../src/js/index";
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// import { errorValueToString } from "../../src/js/index";
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import * as fc from "fast-check";
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import { testRun } from "./TestHelpers";
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describe("Jstat: cumulative density function", () => {
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test("of a normal distribution at 3 stdevs to the right of the mean is within epsilon of 1", () => {
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describe("cumulative density function of a normal distribution", () => {
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test("at 3 stdevs to the right of the mean is near 1", () => {
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fc.assert(
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fc.property(fc.float(), fc.float({ min: 1e-7 }), (mean, stdev) => {
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${
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mean + 3 * stdev
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})`;
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let threeStdevsAboveMean = mean + 3 * stdev;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsAboveMean})`;
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let squiggleResult = testRun(squiggleString);
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let epsilon = 5e-3;
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switch (squiggleResult.tag) {
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case "Error":
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expect(errorValueToString(squiggleResult.value)).toEqual(
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"<Test cases don't seem to be finding this>"
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);
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case "Ok":
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expect(squiggleResult.value.value).toBeGreaterThan(1 - epsilon);
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}
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expect(squiggleResult.value).toBeCloseTo(1);
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})
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);
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});
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test("of a normal distribution at 3 stdevs to the left of the mean is within epsilon of 0", () => {
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test("at 3 stdevs to the left of the mean is near 0", () => {
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fc.assert(
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fc.property(fc.float(), fc.float({ min: 1e-7 }), (mean, stdev) => {
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${
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mean - 3 * stdev
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})`;
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let threeStdevsBelowMean = mean - 3 * stdev;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsBelowMean})`;
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let squiggleResult = testRun(squiggleString);
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let epsilon = 5e-3;
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switch (squiggleResult.tag) {
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case "Error":
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expect(errorValueToString(squiggleResult.value)).toEqual(
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"<Test cases don't seem to be finding this>"
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);
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case "Ok":
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expect(squiggleResult.value.value).toBeLessThan(epsilon);
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}
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expect(squiggleResult.value).toBeCloseTo(0);
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})
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);
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});
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@ -7,7 +7,7 @@ import {
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import { testRun } from "./TestHelpers";
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import * as fc from "fast-check";
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describe("Squiggle is whitespace insensitive", () => {
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describe("Squiggle's parser is whitespace insensitive", () => {
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test("when assigning a distribution to a name and calling that name", () => {
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/*
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* intersperse varying amounts of whitespace in a squiggle string
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let squiggleOutput = testRun(
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squiggleString("", "", "", "", "", "", "", "")
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);
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/*
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* Add "\n" to this when multiline is introduced.
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*/
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// Add "\n" to this when multiline is introduced.
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let whitespaceGen = () => {
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return fc.constantFrom("", " ", "\t", " ", " ", " ", " ");
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};
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import { errorValueToString } from "../../src/js/index";
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import { testRun, failDefault, expectErrorToBeBounded } from "./TestHelpers";
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import * as fc from "fast-check";
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// import { errorValueToString } from "../../src/js/index";
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// import { testRun, expectErrorToBeBounded } 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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test("mx(beta(a,b), lognormal(m,s), [x,y])", () => {
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fc.assert(
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fc.property(
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fc.float({ min: 1e-1 }), // alpha
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fc.float({ min: 1 }), // beta
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fc.float(), // mu
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fc.float({ min: 1e-1 }), // sigma
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fc.float({ min: 1e-7 }),
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fc.float({ min: 1e-7 }),
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(a, b, m, s, x, y) => {
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let squiggleString = `mean(mx(beta(${a},${b}), lognormal(${m},${s}), [${x}, ${y}]))`;
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let res = testRun(squiggleString);
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switch (res.tag) {
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case "Error":
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expect(errorValueToString(res.value)).toEqual(
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"<I wonder if test cases will find this>"
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);
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break;
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case "Ok":
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let weightDenom = x + y;
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let betaWeight = x / weightDenom;
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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.value.tag == "number") {
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expectErrorToBeBounded(
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res.value.value,
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betaWeight * betaMean + lognormalWeight * lognormalMean,
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1,
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-1
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);
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} else {
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expect(res.value.value).toEqual("some error message");
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}
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break;
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default:
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failDefault();
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break;
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}
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}
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)
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);
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});
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});
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// describe("Mean of mixture is weighted average of means", () => {
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// test("mx(beta(a,b), lognormal(m,s), [x,y])", () => {
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// fc.assert(
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// fc.property(
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// fc.float({ min: 1e-1 }), // alpha
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// fc.float({ min: 1 }), // beta
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// fc.float(), // mu
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// fc.float({ min: 1e-1 }), // sigma
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// fc.float({ min: 1e-7 }),
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// fc.float({ min: 1e-7 }),
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// (a, b, m, s, x, y) => {
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// let squiggleString = `mean(mixture(beta(${a},${b}), lognormal(${m},${s}), [${x}, ${y}]))`;
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// let res = testRun(squiggleString);
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// let weightDenom = x + y;
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// let betaWeight = x / weightDenom;
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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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// expectErrorToBeBounded(
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// res.value,
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// betaWeight * betaMean + lognormalWeight * lognormalMean,
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// 1,
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// 2
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// );
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// } else {
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// expect(res.value).toEqual("some error message");
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// }
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// }
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// )
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// );
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// });
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// });
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describe("vacuous", () => test("vacuous", () => expect(true).toEqual(true)));
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import { Distribution } from "../../src/js/index";
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import { expectErrorToBeBounded, failDefault } from "./TestHelpers";
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// import { expectErrorToBeBounded, failDefault } 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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noNaN: true,
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});
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describe("SampleSet: cdf", () => {
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describe("cumulative density function", () => {
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let n = 10000;
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test("at the highest number in the distribution is within epsilon of 1", () => {
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// // We should obtain the math here.
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// test("'s codomain is bounded above", () => {
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// fc.assert(
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// fc.property(arrayGen(), fc.float(), (xs_, x) => {
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// let xs = Array.from(xs_);
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// // Should compute with squiggle strings once interpreter has `sample`
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// let dist = new Distribution(
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// { tag: "SampleSet", value: xs },
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// { sampleCount: n, xyPointLength: 100 }
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// );
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// let cdfValue = dist.cdf(x).value;
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// let epsilon = 5e-7
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// expect(cdfValue).toBeLessThanOrEqual(1 + epsilon)
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// })
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// );
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// })
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test("'s codomain is bounded below", () => {
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fc.assert(
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fc.property(arrayGen(), (xs) => {
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let ys = Array.from(xs);
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let max = Math.max(...ys);
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// Should compute with squiglge strings once interpreter has `sample`
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fc.property(arrayGen(), fc.float(), (xs_, x) => {
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let xs = Array.from(xs_);
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// Should compute with squiggle strings once interpreter has `sample`
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let dist = new Distribution(
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{ tag: "SampleSet", value: ys },
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{ tag: "SampleSet", value: xs },
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{ sampleCount: n, xyPointLength: 100 }
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);
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let cdfValue = dist.cdf(x).value;
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expect(cdfValue).toBeGreaterThanOrEqual(0);
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})
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);
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});
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test("at the highest number in the sample is close to 1", () => {
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fc.assert(
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fc.property(arrayGen(), (xs_) => {
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let xs = Array.from(xs_);
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let max = Math.max(...xs);
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// Should compute with squiggle strings once interpreter has `sample`
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let dist = new Distribution(
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{ tag: "SampleSet", value: xs },
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{ sampleCount: n, xyPointLength: 100 }
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);
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let cdfValue = dist.cdf(max).value;
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let min = Math.min(...ys);
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let min = Math.min(...xs);
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let epsilon = 5e-3;
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if (max - min < epsilon) {
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expect(cdfValue).toBeLessThan(1 - epsilon);
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// I may simply be mistaken about the math here.
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// test("at the lowest number in the distribution is within epsilon of 0", () => {
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// fc.assert(
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// fc.property(arrayGen(), (xs) => {
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// let ys = Array.from(xs);
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// let min = Math.min(...ys);
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// fc.property(arrayGen(), (xs_) => {
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// let xs = Array.from(xs_);
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// let min = Math.min(...xs);
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// // Should compute with squiggle strings once interpreter has `sample`
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// let dist = new Distribution(
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// { tag: "SampleSet", value: ys },
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// { tag: "SampleSet", value: xs },
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// { sampleCount: n, xyPointLength: 100 }
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// );
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// let cdfValue = dist.cdf(min).value;
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// let max = Math.max(...ys);
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// let max = Math.max(...xs);
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// let epsilon = 5e-3;
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// if (max - min < epsilon) {
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// expect(cdfValue).toBeGreaterThan(4 * epsilon);
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@ -61,14 +94,14 @@ describe("SampleSet: cdf", () => {
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// I believe this is true, but due to bugs can't get the test to pass.
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// test("is <= 1 everywhere with equality when x is higher than the max", () => {
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// fc.assert(
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// fc.property(arrayGen(), fc.float(), (xs, x) => {
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// let ys = Array.from(xs);
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// fc.property(arrayGen(), fc.float(), (xs_, x) => {
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// let xs = Array.from(xs_);
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// let dist = new Distribution(
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// { tag: "SampleSet", value: ys },
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// { tag: "SampleSet", value: xs },
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// { sampleCount: n, xyPointLength: 100 }
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// );
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// let cdfValue = dist.cdf(x).value;
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// let max = Math.max(...ys)
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// let max = Math.max(...xs)
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// if (x > max) {
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// let epsilon = (x - max) / x
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// expect(cdfValue).toBeGreaterThan(1 * (1 - epsilon));
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@ -81,16 +114,16 @@ describe("SampleSet: cdf", () => {
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// );
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// });
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test("is >= 0 everywhere with equality when x is lower than the min", () => {
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test("is non-negative everywhere with zero when x is lower than the min", () => {
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fc.assert(
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fc.property(arrayGen(), fc.float(), (xs, x) => {
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let ys = Array.from(xs);
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fc.property(arrayGen(), fc.float(), (xs_, x) => {
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let xs = Array.from(xs_);
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let dist = new Distribution(
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{ tag: "SampleSet", value: ys },
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{ tag: "SampleSet", value: xs },
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{ sampleCount: n, xyPointLength: 100 }
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);
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let cdfValue = dist.cdf(x).value;
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if (x < Math.min(...ys)) {
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if (x < Math.min(...xs)) {
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expect(cdfValue).toEqual(0);
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} else {
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expect(cdfValue).toBeGreaterThan(0);
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@ -101,18 +134,18 @@ describe("SampleSet: cdf", () => {
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});
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// // I no longer believe this is true.
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// describe("SampleSet: pdf", () => {
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// describe("probability density function", () => {
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// let n = 1000;
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//
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// test("assigns to the max at most the weight of the mean", () => {
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// fc.assert(
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// fc.property(arrayGen(), (xs) => {
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// let ys = Array.from(xs);
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// let max = Math.max(...ys);
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// let mean = ys.reduce((a, b) => a + b, 0.0) / ys.length;
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// fc.property(arrayGen(), (xs_) => {
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// let xs = Array.from(xs_);
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// let max = Math.max(...xs);
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// let mean = xs.reduce((a, b) => a + b, 0.0) / ys.length;
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// // Should be from squiggleString once interpreter exposes sampleset
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// let dist = new Distribution(
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// { tag: "SampleSet", value: ys },
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// { tag: "SampleSet", value: xs },
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// { sampleCount: n, xyPointLength: 100 }
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// );
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// let pdfValueMean = dist.pdf(mean).value;
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@ -128,21 +161,21 @@ describe("SampleSet: cdf", () => {
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// });
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// This should be true, but I can't get it to work.
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// describe("SampleSet: mean is mean", () => {
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// test("mean(samples(xs)) sampling twice as widely as the input", () => {
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// describe("mean is mean", () => {
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// test("when sampling twice as widely as the input", () => {
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// fc.assert(
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// fc.property(
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// fc.float64Array({ minLength: 10, maxLength: 100000 }),
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// (xs) => {
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// let ys = Array.from(xs);
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// let n = ys.length;
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// (xs_) => {
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// let xs = Array.from(xs_);
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// let n = xs.length;
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// let dist = new Distribution(
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// { tag: "SampleSet", value: ys },
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// { tag: "SampleSet", value: xs },
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// { sampleCount: 2 * n, xyPointLength: 4 * n }
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// );
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// let mean = dist.mean()
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// if (typeof mean.value == "number") {
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// expectErrorToBeBounded(mean.value, ys.reduce((a, b) => a + b, 0.0) / n, 5e-1, 1)
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// expectErrorToBeBounded(mean.value, xs.reduce((a, b) => a + b, 0.0) / n, 5e-1, 1)
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// } else {
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// failDefault()
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// }
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|
@ -151,20 +184,20 @@ describe("SampleSet: cdf", () => {
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// );
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// });
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//
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// test("mean(samples(xs)) sampling half as widely as the input", () => {
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// test("when sampling half as widely as the input", () => {
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// fc.assert(
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// fc.property(
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// fc.float64Array({ minLength: 10, maxLength: 100000 }),
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// (xs) => {
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// let ys = Array.from(xs);
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// let n = ys.length;
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// (xs_) => {
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// let xs = Array.from(xs_);
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// let n = xs.length;
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// let dist = new Distribution(
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// { tag: "SampleSet", value: ys },
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// { tag: "SampleSet", value: xs },
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// { sampleCount: Math.floor(n / 2), xyPointLength: 4 * n }
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// );
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// let mean = dist.mean()
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// if (typeof mean.value == "number") {
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// expectErrorToBeBounded(mean.value, ys.reduce((a, b) => a + b, 0.0) / n, 5e-1, 1)
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// expectErrorToBeBounded(mean.value, xs.reduce((a, b) => a + b, 0.0) / n, 5e-1, 1)
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// } else {
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// failDefault()
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// }
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|
|
|
@ -1,29 +1,21 @@
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import { errorValueToString } from "../../src/js/index";
|
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// import { errorValueToString } from "../../src/js/index";
|
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import { testRun } from "./TestHelpers";
|
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import * as fc from "fast-check";
|
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|
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describe("Scalar manipulation is well-modeled by javascript math", () => {
|
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test("in the case of logarithms (with assignment)", () => {
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test("in the case of natural logarithms", () => {
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fc.assert(
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fc.property(fc.float(), (x) => {
|
||||
let squiggleString = `x = log(${x}); x`;
|
||||
let squiggleString = `log(${x})`;
|
||||
let squiggleResult = testRun(squiggleString);
|
||||
if (x == 0) {
|
||||
expect(squiggleResult.value).toEqual({
|
||||
tag: "number",
|
||||
value: -Infinity,
|
||||
});
|
||||
expect(squiggleResult.value).toEqual(-Infinity);
|
||||
} else if (x < 0) {
|
||||
expect(squiggleResult.value).toEqual({
|
||||
tag: "RETodo",
|
||||
value:
|
||||
"somemessage (confused why a test case hasn't pointed out to me that this message is bogus)",
|
||||
});
|
||||
expect(squiggleResult.value).toEqual(
|
||||
"somemessage (confused why a test case hasn't pointed out to me that this message is bogus)"
|
||||
);
|
||||
} else {
|
||||
expect(squiggleResult.value).toEqual({
|
||||
tag: "number",
|
||||
value: Math.log(x),
|
||||
});
|
||||
expect(squiggleResult.value).toEqual(Math.log(x));
|
||||
}
|
||||
})
|
||||
);
|
||||
|
@ -34,17 +26,7 @@ describe("Scalar manipulation is well-modeled by javascript math", () => {
|
|||
fc.property(fc.float(), fc.float(), fc.float(), (x, y, z) => {
|
||||
let squiggleString = `x = ${x}; y = ${y}; z = ${z}; x + y + z`;
|
||||
let squiggleResult = testRun(squiggleString);
|
||||
switch (squiggleResult.tag) {
|
||||
case "Error":
|
||||
expect(errorValueToString(squiggleResult.value)).toEqual(
|
||||
"some message (hopefully a test case points it out to me)"
|
||||
);
|
||||
case "Ok":
|
||||
expect(squiggleResult.value).toEqual({
|
||||
tag: "number",
|
||||
value: x + y + z,
|
||||
});
|
||||
}
|
||||
expect(squiggleResult.value).toBeCloseTo(x + y + z);
|
||||
})
|
||||
);
|
||||
});
|
||||
|
|
|
@ -3,30 +3,17 @@ import { testRun } from "./TestHelpers";
|
|||
import * as fc from "fast-check";
|
||||
|
||||
describe("Symbolic mean", () => {
|
||||
let triangularInputError = {
|
||||
tag: "Error",
|
||||
value: {
|
||||
tag: "RETodo",
|
||||
value: "Triangular values must be increasing order.",
|
||||
},
|
||||
};
|
||||
test("mean(triangular(x,y,z))", () => {
|
||||
fc.assert(
|
||||
fc.property(fc.float(), fc.float(), fc.float(), (x, y, z) => {
|
||||
let res = testRun(`mean(triangular(${x},${y},${z}))`);
|
||||
if (!(x < y && y < z)) {
|
||||
expect(res).toEqual(triangularInputError);
|
||||
} else {
|
||||
switch (res.tag) {
|
||||
case "Error":
|
||||
expect(errorValueToString(res.value)).toEqual(
|
||||
"<Test cases don't seem to be finding this>"
|
||||
try {
|
||||
let squiggleResult = testRun(`mean(triangular(${x},${y},${z}))`);
|
||||
expect(squiggleResult.value).toBeCloseTo((x + y + z) / 3);
|
||||
} catch (err) {
|
||||
expect((err as Error).message).toEqual(
|
||||
"Expected squiggle expression to evaluate but got error: TODO: Triangular values must be increasing order."
|
||||
);
|
||||
case "Ok":
|
||||
expect(res.value).toEqual({
|
||||
tag: "number",
|
||||
value: (x + y + z) / 3,
|
||||
});
|
||||
}
|
||||
}
|
||||
})
|
||||
|
|
|
@ -1,17 +1,31 @@
|
|||
import {
|
||||
run,
|
||||
Distribution,
|
||||
// Distribution,
|
||||
squiggleExpression,
|
||||
errorValueToString,
|
||||
errorValue,
|
||||
result,
|
||||
// errorValue,
|
||||
// result,
|
||||
} from "../../src/js/index";
|
||||
|
||||
export function testRun(x: string): any {
|
||||
export function testRunR(x: string): any {
|
||||
//: result<squiggleExpression, errorValue> => {
|
||||
return run(x, { sampleCount: 1000, xyPointLength: 100 });
|
||||
}
|
||||
|
||||
export function testRun(x: string): squiggleExpression {
|
||||
let squiggleResult = run(x, { sampleCount: 1000, xyPointLength: 100 });
|
||||
// return squiggleResult.value
|
||||
if (squiggleResult.tag === "Ok") {
|
||||
return squiggleResult.value;
|
||||
} else {
|
||||
throw new Error(
|
||||
`Expected squiggle expression to evaluate but got error: ${errorValueToString(
|
||||
squiggleResult.value
|
||||
)}`
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
export function failDefault() {
|
||||
expect("be reached").toBe("codepath should never");
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue
Block a user