some of the problems solved
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e345ca2039
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@ -5,7 +5,7 @@ import { testRun } from "./TestHelpers";
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describe("cumulative density function of a normal distribution", () => {
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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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test("at 3 stdevs to the right of the mean is near 1", () => {
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fc.assert(
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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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fc.property(fc.double(), fc.double({ min: 1e-7 }), (mean, stdev) => {
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let threeStdevsAboveMean = mean + 3 * stdev;
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let threeStdevsAboveMean = mean + 3 * stdev;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsAboveMean})`;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsAboveMean})`;
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let squiggleResult = testRun(squiggleString);
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let squiggleResult = testRun(squiggleString);
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@ -16,7 +16,7 @@ describe("cumulative density function of a normal distribution", () => {
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test("at 3 stdevs to the left of the mean is near 0", () => {
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test("at 3 stdevs to the left of the mean is near 0", () => {
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fc.assert(
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fc.assert(
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fc.property(fc.float(), fc.float({ min: 1e-7 }), (mean, stdev) => {
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fc.property(fc.double(), fc.double({ min: 1e-7 }), (mean, stdev) => {
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let threeStdevsBelowMean = mean - 3 * stdev;
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let threeStdevsBelowMean = mean - 3 * stdev;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsBelowMean})`;
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let squiggleString = `cdf(normal(${mean}, ${stdev}), ${threeStdevsBelowMean})`;
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let squiggleResult = testRun(squiggleString);
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let squiggleResult = testRun(squiggleString);
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@ -4,13 +4,16 @@ import * as fc from "fast-check";
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// Beware: float64Array makes it appear in an infinite loop.
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// Beware: float64Array makes it appear in an infinite loop.
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let arrayGen = () =>
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let arrayGen = () =>
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fc.float32Array({
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fc
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minLength: 10,
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.float32Array({
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maxLength: 10000,
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minLength: 10,
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noDefaultInfinity: true,
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maxLength: 10000,
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noNaN: true,
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noDefaultInfinity: true,
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});
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noNaN: true,
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})
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.filter(
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(xs_) => Math.min(...Array.from(xs_)) != Math.max(...Array.from(xs_))
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);
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describe("cumulative density function", () => {
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describe("cumulative density function", () => {
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let n = 10000;
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let n = 10000;
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@ -119,11 +122,7 @@ describe("cumulative density function", () => {
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{ sampleCount: n, xyPointLength: 100 }
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{ sampleCount: n, xyPointLength: 100 }
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);
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);
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let cdfValue = dist.cdf(x).value;
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let cdfValue = dist.cdf(x).value;
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if (x < Math.min(...xs)) {
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expect(cdfValue).toBeGreaterThanOrEqual(0);
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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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}
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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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@ -10,10 +10,6 @@ describe("Scalar manipulation is well-modeled by javascript math", () => {
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let squiggleResult = testRun(squiggleString);
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let squiggleResult = testRun(squiggleString);
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if (x == 0) {
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if (x == 0) {
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expect(squiggleResult.value).toEqual(-Infinity);
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expect(squiggleResult.value).toEqual(-Infinity);
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} else if (x < 0) {
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expect(squiggleResult.value).toEqual(
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"somemessage (confused why a test case hasn't pointed out to me that this message is bogus)"
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);
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} else {
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} else {
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expect(squiggleResult.value).toEqual(Math.log(x));
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expect(squiggleResult.value).toEqual(Math.log(x));
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}
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}
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