2022-04-26 22:59:27 +00:00
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import { distributions, generateInt, generateFloatRange } from "./generators";
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2022-04-26 18:26:02 +00:00
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import { test, expectEqual } from "./lib";
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2022-04-26 20:38:17 +00:00
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let checkDistributionSame = (
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distribution: string,
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operation: (arg: string) => string
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): void => {
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expectEqual(
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operation(distribution),
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operation(`toPointSet(${distribution})`)
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);
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expectEqual(
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operation(distribution),
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operation(`toSampleSet(${distribution})`)
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);
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};
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2022-04-26 20:05:16 +00:00
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Object.entries(distributions).map(([key, generator]) => {
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let distribution = generator();
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test(`mean is the same for ${key} distribution under all distribution types`, () =>
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2022-04-26 20:38:17 +00:00
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checkDistributionSame(distribution, (d: string) => `mean(${d})`));
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2022-04-26 20:05:16 +00:00
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test(`cdf is the same for ${key} distribution under all distribution types`, () => {
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2022-04-26 22:59:27 +00:00
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let cdf_value = generateInt();
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2022-04-26 20:38:17 +00:00
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checkDistributionSame(
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distribution,
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(d: string) => `cdf(${d}, ${cdf_value})`
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);
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});
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2022-04-26 20:05:16 +00:00
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test(`pdf is the same for ${key} distribution under all distribution types`, () => {
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2022-04-26 22:59:27 +00:00
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let pdf_value = generateInt();
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2022-04-26 20:38:17 +00:00
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checkDistributionSame(
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distribution,
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(d: string) => `pdf(${d}, ${pdf_value})`
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);
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});
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2022-04-26 20:05:16 +00:00
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test(`inv is the same for ${key} distribution under all distribution types`, () => {
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let inv_value = generateFloatRange(0, 1);
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2022-04-26 20:38:17 +00:00
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checkDistributionSame(
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distribution,
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(d: string) => `inv(${d}, ${inv_value})`
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);
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});
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2022-04-26 18:26:02 +00:00
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});
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