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How to use extractedPercents method in fast-check-monorepo

Best JavaScript code snippet using fast-check-monorepo

Sampler.spec.ts

Source:Sampler.spec.ts

1import * as fc from 'fast-check';2import { sample, statistics } from '../../../../src/check/runner/Sampler';3import * as stubArb from '../../stubs/arbitraries';4import { cloneMethod } from '../../../../src/check/symbols';5import { fakeArbitrary } from '../../arbitrary/__test-helpers__/ArbitraryHelpers';6import { Value } from '../../../../src/check/arbitrary/definition/Value';7const MAX_NUM_RUNS = 1000;8describe('Sampler', () => {9  describe('sample', () => {10    it('Should produce the same sequence given the same seed', () =>11      fc.assert(12        fc.property(fc.integer(), (seed) => {13          const out1 = sample(stubArb.forward(), { seed: seed });14          const out2 = sample(stubArb.forward(), { seed: seed });15          expect(out2).toEqual(out1);16        })17      ));18    it('Should produce the same sequence given the same seed and different lengths', () =>19      fc.assert(20        fc.property(fc.integer(), fc.nat(MAX_NUM_RUNS), fc.nat(MAX_NUM_RUNS), (seed, l1, l2) => {21          const out1 = sample(stubArb.forward(), { seed: seed, numRuns: l1 });22          const out2 = sample(stubArb.forward(), { seed: seed, numRuns: l2 });23          const lmin = Math.min(l1, l2);24          expect(out2.slice(0, lmin)).toEqual(out1.slice(0, lmin));25        })26      ));27    it('Should produce exactly the number of outputs', () =>28      fc.assert(29        fc.property(fc.nat(MAX_NUM_RUNS), fc.integer(), (num, start) => {30          const arb = stubArb.counter(start);31          const out = sample(arb, num);32          expect(out).toHaveLength(num);33          expect(out).toEqual(arb.generatedValues.slice(0, num)); // give back the values in order34          // ::generate might have been called one time more than expected depending on its implementation35        })36      ));37    it('Should produce exactly the number of outputs when called with number', () =>38      fc.assert(39        fc.property(fc.nat(MAX_NUM_RUNS), fc.integer(), (num, start) => {40          const arb = stubArb.counter(start);41          const out = sample(arb, num);42          expect(out).toHaveLength(num);43          expect(out).toEqual(arb.generatedValues.slice(0, num)); // give back the values in order44        })45      ));46    it('Should not call arbitrary more times than the number of values required', () =>47      fc.assert(48        fc.property(fc.nat(MAX_NUM_RUNS), fc.integer(), (num, start) => {49          const arb = stubArb.counter(start);50          sample(arb, num);51          expect(arb.generatedValues).toHaveLength(num);52        })53      ));54    it('Should throw on wrong path (too deep)', () => {55      const arb = stubArb.forward().noShrink();56      expect(() => sample(arb, { seed: 42, path: '0:0:0' })).toThrowError();57      // 0:1 should not throw but retrieve an empty set58    });59    it('Should throw on invalid path', () => {60      const arb = stubArb.forward().noShrink();61      expect(() => sample(arb, { seed: 42, path: 'invalid' })).toThrowError();62    });63    it('Should not call clone on cloneable instances', () => {64      const cloneable = {65        [cloneMethod]: () => {66          throw new Error('Unexpected call to [cloneMethod]');67        },68      };69      const { instance, generate } = fakeArbitrary();70      generate.mockReturnValue(new Value(cloneable, undefined));71      sample(instance, { seed: 42 });72    });73  });74  describe('statistics', () => {75    const customGen = (m = 7) => stubArb.forward().map((v) => ((v % m) + m) % m);76    const rePercent = /(\d+\.\d+)%$/;77    it('Should always produce for non null number of runs', () =>78      fc.assert(79        fc.property(fc.integer(), fc.integer({ min: 1, max: MAX_NUM_RUNS }), (seed, runs) => {80          const logs: string[] = [];81          const classify = (g: number) => g.toString();82          statistics(customGen(), classify, { seed: seed, numRuns: runs, logger: (v: string) => logs.push(v) });83          expect(logs.length).not.toEqual(0); // at least one log84        })85      ));86    it('Should produce the same statistics given the same seed', () =>87      fc.assert(88        fc.property(fc.integer(), (seed) => {89          const logs1: string[] = [];90          const logs2: string[] = [];91          const classify = (g: number) => g.toString();92          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs1.push(v) });93          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs2.push(v) });94          expect(logs2).toEqual(logs1);95        })96      ));97    it('Should start log lines with labels', () =>98      fc.assert(99        fc.property(fc.integer(), (seed) => {100          const logs: string[] = [];101          const classify = (g: number) => `my_label_${g.toString()}!`;102          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs.push(v) });103          for (const l of logs) {104            expect(l).toMatch(/^my_label_(\d+)!\.+\d+\.\d+%$/); // my_label_123!.....DD%105          }106        })107      ));108    it('Should end log lines with percentage', () =>109      fc.assert(110        fc.property(fc.integer(), (seed) => {111          const logs: string[] = [];112          const classify = (g: number) => g.toString();113          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs.push(v) });114          for (const l of logs) {115            expect(l).toMatch(rePercent); // end by the measured percentage116          }117        })118      ));119    it('Should sum to 100% when provided a single classifier', () =>120      fc.assert(121        fc.property(fc.integer(), (seed) => {122          const logs: string[] = [];123          const classify = (g: number) => g.toString();124          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs.push(v) });125          const extractedPercents = logs.map((l) => parseFloat(rePercent.exec(l)![1]));126          const lowerBound = extractedPercents.reduce((p, c) => p + c - 0.01);127          const upperBound = extractedPercents.reduce((p, c) => p + c + 0.01);128          expect(lowerBound).toBeLessThanOrEqual(100);129          expect(upperBound).toBeGreaterThanOrEqual(100);130        })131      ));132    it('Should order percentages from the highest to the lowest', () =>133      fc.assert(134        fc.property(fc.integer(), (seed) => {135          const logs: string[] = [];136          const classify = (g: number) => g.toString();137          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs.push(v) });138          const extractedPercents = logs.map((l) => parseFloat(rePercent.exec(l)![1]));139          for (let idx = 1; idx < extractedPercents.length; ++idx) {140            expect(extractedPercents[idx - 1]).toBeGreaterThanOrEqual(extractedPercents[idx]);141          }142        })143      ));144    it('Should be able to handle multiple classifiers', () =>145      fc.assert(146        fc.property(fc.integer(), (seed) => {147          const logs: string[] = [];148          const classify = (g: number) => (g % 2 === 0 ? [`a::${g}`, `b::${g}`, `c::${g}`] : [`a::${g}`, `b::${g}`]);149          statistics(customGen(), classify, { seed: seed, logger: (v: string) => logs.push(v) });150          const extractedPercents = logs.map((l) => parseFloat(rePercent.exec(l)![1]));151          const lowerBound = extractedPercents.reduce((p, c) => p + c - 0.01);152          const upperBound = extractedPercents.reduce((p, c) => p + c + 0.01);153          expect(lowerBound).toBeLessThanOrEqual(300); // we always have a and b154          expect(upperBound).toBeGreaterThanOrEqual(200); // we can also have c155          const associatedWithA = logs156            .filter((l) => l.startsWith('a::'))157            .map((l) => l.slice(1))158            .sort();159          const associatedWithB = logs160            .filter((l) => l.startsWith('b::'))161            .map((l) => l.slice(1))162            .sort();163          expect(associatedWithB).toEqual(associatedWithA); // same logs for a:: and b::164        })165      ));166    it('Should not produce more logs than the number of classified values', () =>167      fc.assert(168        fc.property(fc.integer(), fc.integer({ min: 1, max: 100 }), (seed, mod) => {169          const logs: string[] = [];170          const classify = (g: number) => g.toString();171          statistics(customGen(mod), classify, { seed: seed, logger: (v: string) => logs.push(v) });172          expect(logs.length).toBeGreaterThanOrEqual(1); // at least one log173          expect(logs.length).toBeLessThanOrEqual(mod); // aggregate classified values together174        })175      ));176    it('Should not call arbitrary more times than the number of values required', () =>177      fc.assert(178        fc.property(fc.nat(MAX_NUM_RUNS), fc.integer(), (num, start) => {179          const classify = (g: number) => g.toString();180          const arb = stubArb.counter(start);181          statistics(arb, classify, { numRuns: num, logger: (_v: string) => {} });182          expect(arb.generatedValues).toHaveLength(num); // only call the arbitrary once per asked value183        })184      ));185  });...

Using AI Code Generation

1import {extractedPercents} from 'fast-check';2import * as fc from 'fast-check';3import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';4import {extractedPercents} from 'fast-check';5import * as fc from 'fast-check';6import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';7import {extractedPercents} from 'fast-check';8import * as fc from 'fast-check';9import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';10import {extractedPercents} from 'fast-check';11import * as fc from 'fast-check';12import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';13import {extractedPercents} from 'fast-check';14import * as fc from 'fast-check';15import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';16import {extractedPercents} from 'fast-check';17import * as fc from 'fast-check';18import {extractedPercents} from 'fast-check-monorepo/src/check/arbitrary/ExtractedPercentsArbitrary.ts';19import {extractedP

Using AI Code Generation

1const fastCheck = require('fast-check')2const {extractedPercents} = fastCheck3const {extractedPercents} = require('fast-check')4const {extractedPercents} = require('fast-check')5const {extractedPercents} = require('fast-check-monorepo')6const {extractedPercents} = require('fast-check-monorepo')7const {extractedPercents} = require('fast-check-monorepo')8const {extractedPercents} = require('fast-check-monorepo')9const {extractedPercents} = require('fast-check')10const {extractedPercents} = require('fast-check')11const {extractedPercents} = require('fast-check-monorepo')12const {extractedPercents} = require('fast-check-monorepo')13const {extractedPercents} = require('fast-check')14const {extractedPercents} = require('fast-check-monorepo')15const {extractedPercents} = require('fast-check-monorepo')16const {extractedPercents} = require('fast-check-monorepo')17const {extractedPercents} = require('fast-check-monorepo')18const {extractedPercents} = require('fast-check-monorepo')19const {extractedPercents} = require('fast-check-monorepo')20const {extractedP

Using AI Code Generation

1"workspaces": {2}3{4}5function getRandomInt(min, max) {6  const minInt = Math.ceil(min);7  const maxInt = Math.floor(max);8  return Math.floor(Math.random() * (maxInt - minInt)) + minInt;9}10function getRandomPercents(total,

Using AI Code Generation

1const { extractedPercents } = require('fast-check-monorepo');2console.log(extractedPercents('abc 12% def 56% ghi 90% jkl'));3{4  "dependencies": {5  }6}

Using AI Code Generation

1const extractedPercents = require('fast-check-monorepo');2console.log(extractedPercents('%12%23%34%45%56%67%78%89%90%'));3const extractedPercents = require('fast-check-monorepo');4console.log(extractedPercents('12%23%34%45%56%67%78%89%90%'));5const extractedPercents = require('fast-check-monorepo');6console.log(extractedPercents('12%23%34%45%56%67%78%89%90%'));7const extractedPercents = require('fast-check-monorepo');8console.log(extractedPercents('12%23%34%45%56%67%78%89%90%'));9const extractedPercents = require('fast-check-monorepo');10console.log(extractedPercents('12%23%34%45%56%67%78%89%90%'));11const extractedPercents = require('fast-check-monorepo');12console.log(extracted

Using AI Code Generation

1const extractedPercents = require('fast-check-monorepo/extractedPercents')2extractedPercents('This is a test of the emergency broadcast system. 5% of the people are asleep. 10% of the people are awake. 85% of the people are in a dream state.').then(result => console.log(result))3const extractedPercents = require('fast-check-monorepo/extractedPercents')4extractedPercents('This is a test of the emergency broadcast system. 5% of the people are asleep. 10% of the people are awake. 85% of the people are in a dream state.').then(result => console.log(result))5const extractedPercents = require('fast-check-monorepo/extractedPercents')6extractedPercents('This is a test of the emergency broadcast system. 5% of the people are asleep. 10% of the people are awake. 85% of the people are in a dream state.').then(result => console.log(result))7const extractedPercents = require('fast-check-monorepo/extractedPercents')8extractedPercents('This is a test of the emergency broadcast system. 5% of the people are asleep. 10% of the people are awake. 85% of the people are in a dream state.').then(result => console.log(result))9const extractedPercents = require('fast-check-monorepo/extractedPercents')10extractedPercents('This is a test of the emergency

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