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How to use occurences method in fast-check-monorepo

Best JavaScript code snippet using fast-check-monorepo

markov.test.js

1const markov = require('../markov')2test('chain is blank', () => {3    expect(markov.chain).toEqual({})4})5test('add to chain', () => {6    const sentence = "Hello sir"7    const ids = ["shaun", "general", "shaunguild"]8    const context = ["hello", "shaun"]9    markov.addToChain(sentence, ids, context)10    expect(markov.chain).toEqual({ "Hello": { "context": [{ "id": "shaun", "occurences": 1, "word": "hello" }, { "id": "shaun", "occurences": 1, "word": "shaun" }, { "id": "general", "occurences": 1, "word": "hello" }, { "id": "general", "occurences": 1, "word": "shaun" }, { "id": "shaunguild", "occurences": 1, "word": "hello" }, { "id": "shaunguild", "occurences": 1, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "sir" }], "ids": ["shaun", "general", "shaunguild"], "start": true, "word": "Hello" }, "sir": { "context": [{ "id": "shaun", "occurences": 1, "word": "hello" }, { "id": "shaun", "occurences": 1, "word": "shaun" }, { "id": "general", "occurences": 1, "word": "hello" }, { "id": "general", "occurences": 1, "word": "shaun" }, { "id": "shaunguild", "occurences": 1, "word": "hello" }, { "id": "shaunguild", "occurences": 1, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "\u0003" }], "ids": ["shaun", "general", "shaunguild"], "start": false, "word": "sir" } })11})12test('updating existing', () => {13    const sentence = "Hello friend"14    const ids = ["shaun", "general", "shaunguild"]15    const context = ["hello", "shaun"]16    markov.addToChain(sentence, ids, context)17    expect(markov.chain).toEqual({ "Hello": { "context": [{ "id": "shaun", "occurences": 2, "word": "hello" }, { "id": "shaun", "occurences": 2, "word": "shaun" }, { "id": "general", "occurences": 2, "word": "hello" }, { "id": "general", "occurences": 2, "word": "shaun" }, { "id": "shaunguild", "occurences": 2, "word": "hello" }, { "id": "shaunguild", "occurences": 2, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "friend" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "friend" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "friend" }], "ids": ["shaun", "general", "shaunguild"], "start": true, "word": "Hello" }, "friend": { "context": [{ "id": "shaun", "occurences": 1, "word": "hello" }, { "id": "shaun", "occurences": 1, "word": "shaun" }, { "id": "general", "occurences": 1, "word": "hello" }, { "id": "general", "occurences": 1, "word": "shaun" }, { "id": "shaunguild", "occurences": 1, "word": "hello" }, { "id": "shaunguild", "occurences": 1, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "\u0003" }], "ids": ["shaun", "general", "shaunguild"], "start": false, "word": "friend" }, "sir": { "context": [{ "id": "shaun", "occurences": 1, "word": "hello" }, { "id": "shaun", "occurences": 1, "word": "shaun" }, { "id": "general", "occurences": 1, "word": "hello" }, { "id": "general", "occurences": 1, "word": "shaun" }, { "id": "shaunguild", "occurences": 1, "word": "hello" }, { "id": "shaunguild", "occurences": 1, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "\u0003" }], "ids": ["shaun", "general", "shaunguild"], "start": false, "word": "sir" } })18})19test('same sentence', () => {20    const sentence = "Hello sir"21    const ids = ["shaun", "general", "shaunguild"]22    const context = ["hello", "shaun"]23    markov.addToChain(sentence, ids, context)24    expect(markov.chain).toEqual({ "Hello": { "context": [{ "id": "shaun", "occurences": 3, "word": "hello" }, { "id": "shaun", "occurences": 3, "word": "shaun" }, { "id": "general", "occurences": 3, "word": "hello" }, { "id": "general", "occurences": 3, "word": "shaun" }, { "id": "shaunguild", "occurences": 3, "word": "hello" }, { "id": "shaunguild", "occurences": 3, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "shaun", "occurences": 2, "word": "sir" }, { "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "general", "occurences": 2, "word": "sir" }, { "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "shaunguild", "occurences": 2, "word": "sir" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "friend" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "friend" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "friend" }], "ids": ["shaun", "general", "shaunguild"], "start": true, "word": "Hello" }, "friend": { "context": [{ "id": "shaun", "occurences": 1, "word": "hello" }, { "id": "shaun", "occurences": 1, "word": "shaun" }, { "id": "general", "occurences": 1, "word": "hello" }, { "id": "general", "occurences": 1, "word": "shaun" }, { "id": "shaunguild", "occurences": 1, "word": "hello" }, { "id": "shaunguild", "occurences": 1, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaun", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "general", "occurences": 1, "word": "\u0003" }, { "context": [{ "occurences": 1, "word": "hello" }, { "occurences": 1, "word": "shaun" }], "id": "shaunguild", "occurences": 1, "word": "\u0003" }], "ids": ["shaun", "general", "shaunguild"], "start": false, "word": "friend" }, "sir": { "context": [{ "id": "shaun", "occurences": 2, "word": "hello" }, { "id": "shaun", "occurences": 2, "word": "shaun" }, { "id": "general", "occurences": 2, "word": "hello" }, { "id": "general", "occurences": 2, "word": "shaun" }, { "id": "shaunguild", "occurences": 2, "word": "hello" }, { "id": "shaunguild", "occurences": 2, "word": "shaun" }], "followedBy": [{ "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "shaun", "occurences": 2, "word": "\u0003" }, { "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "general", "occurences": 2, "word": "\u0003" }, { "context": [{ "occurences": 2, "word": "hello" }, { "occurences": 2, "word": "shaun" }], "id": "shaunguild", "occurences": 2, "word": "\u0003" }], "ids": ["shaun", "general", "shaunguild"], "start": false, "word": "sir" } })25})26test('new sentence', () => {27    const sentence = "Goodbye lol"28    const ids = ["shaun", "general", "shaunguild"]29    const context = ["cya"]30    markov.addToChain(sentence, ids, context)31    expect(markov.chain.Goodbye).toEqual(32        {33            "context": [{34                "id": "shaun",35                "occurences": 1,36                "word": "cya"37            }, {38                "id": "general",39                "occurences": 1,40                "word": "cya"41            }, {42                "id": "shaunguild",43                "occurences": 1,44                "word": "cya"45            }],46            "followedBy": [{47                "context": [{48                    "occurences": 1,49                    "word": "cya"50                }],51                "id": "shaun",52                "occurences": 1,53                "word": "lol"54            }, {55                "context": [{56                    "occurences": 1,57                    "word": "cya"58                }],59                "id": "general",60                "occurences": 1,61                "word": "lol"62            }, {63                "context": [{64                    "occurences": 1,65                    "word": "cya"66                }],67                "id": "shaunguild",68                "occurences": 1,69                "word": "lol"70            }],71            "ids": ["shaun", "general", "shaunguild"],72            "start": true,73            "word": "Goodbye"74        }75    )76})77test('relevant token', () => {78    const chainEntry = markov.chain.Goodbye79    const context = ["cya"]80    const expected = {81        word: "Goodbye",82        occurences: 383    }84    expect(markov.getRelevantContext(chainEntry, null, context)).toEqual(expected)85})86test('generate sentence', () => {87    const id = "shaun"88    const context = ["hello"]89    const sentence = markov.generateSentence(id, context)90    expect(sentence).toMatch(/Hello (sir|friend)/)91})92test('generate sentence no context', () => {93    const id = "shaun"94    const context = []95    const sentence = markov.generateSentence(id, context)96    expect(sentence).toBeFalsy()...

amchart_donut.js

Source: amchart_donut.js

1var chart = AmCharts.makeChart("chartdiv2", {2    "type": "pie",3	"theme": "none",4    "titles": [{5        "text": "Entities Extracted",6        "size": 167    }],8    "dataProvider": [9{10"keyword": "moto",11"occurences": 4933812},{13"keyword": "motorola",14"occurences": 1442615},{16"keyword": "seo",17"occurences": 1209118},{19"keyword": "retailer",20"occurences": 633521},{22"keyword": "tweet",23"occurences": 471724},{25"keyword": "android",26"occurences": 365227},{28"keyword": "",29"occurences": 300830},{31"keyword": "technology",32"occurences": 295833},{34"keyword": "post",35"occurences": 277736},{37"keyword": "usaheadlines",38"occurences": 256139},{40"keyword": "#google",41"occurences": 238642},{43"keyword": "video",44"occurences": 176845},{46"keyword": "smartwatch",47"occurences": 170648},{49"keyword": "brand",50"occurences": 158151},{52"keyword": "twitter",53"occurences": 157454},{55"keyword": "deals",56"occurences": 141357},{58"keyword": "tech",59"occurences": 133160},{61"keyword": "at&t",62"occurences": 128163},{64"keyword": "newsupdates",65"occurences": 125566},{67"keyword": "flagship",68"occurences": 119269},{70"keyword": "motorolamotox",71"occurences": 118272},{73"keyword": "hands-on",74"occurences": 115275},{76"keyword": "phone",77"occurences": 114278},{79"keyword": "maker",80"occurences": 112681},{82"keyword": "flipkart",83"occurences": 110784},{85"keyword": "apple",86"occurences": 107587},{88"keyword": "hint",89"occurences": 98290},{91"keyword": "review",92"occurences": 94193},{94"keyword": "aluminum",95"occurences": 93196},{97"keyword": "successor",98"occurences": 85699},{100"keyword": "phones",101"occurences": 843102},{103"keyword": "verizon",104"occurences": 822105},{106"keyword": "teardown",107"occurences": 764108},{109"keyword": "iphone",110"occurences": 743111},{112"keyword": "specs",113"occurences": 736114},{115"keyword": "cell",116"occurences": 725117},{118"keyword": "hours",119"occurences": 725120},{121"keyword": "contest",122"occurences": 657123},{124"keyword": "engadget",125"occurences": 647126},{127"keyword": "unboxing",128"occurences": 644129},{130"keyword": "hands",131"occurences": 590132},{133"keyword": "lg",134"occurences": 562135},{136"keyword": "nexus",137"occurences": 558138},{139"keyword": "gadgets",140"occurences": 557141},{142"keyword": "release",143"occurences": 541144},{145"keyword": "sleeve",146"occurences": 537147},{148"keyword": "today",149"occurences": 517150},{151"keyword": "battery",152"occurences": 504153},{154"keyword": "selena",155"occurences": 488156},{157"keyword": "motorolamotog",158"occurences": 486159},{160"keyword": "devices",161"occurences": 476162},{163"keyword": "leaks",164"occurences": 467165},{166"keyword": "motorolaâs",167"occurences": 463168},{169"keyword": "desire",170"occurences": 445171},{172"keyword": "topshop",173"occurences": 430174},{175"keyword": "toyotainnova_in",176"occurences": 429177},{178"keyword": "youtube",179"occurences": 425180},{181"keyword": "#apple",182"occurences": 423183},{184"keyword": "smarty",185"occurences": 422186},{187"keyword": "pricing",188"occurences": 419189},{190"keyword": "monster",191"occurences": 415192},{193"keyword": "galaxy",194"occurences": 413195},{196"keyword": "photos",197"occurences": 402198},{199"keyword": "motox",200"occurences": 394201},{202"keyword": "ct",203"occurences": 392204},{205"keyword": "#motorola",206"occurences": 381207},{208"keyword": "developer",209"occurences": 380210},{211"keyword": "screen",212"occurences": 378213},{214"keyword": "photo",215"occurences": 365216},{217"keyword": "credit",218"occurences": 359219},{220"keyword": "#triplethefun",221"occurences": 335222},{223"keyword": "google",224"occurences": 334225},{226"keyword": "htc",227"occurences": 324228},{229"keyword": "news",230"occurences": 324231},{232"keyword": "arms-on",233"occurences": 300234},{235"keyword": "soreen",236"occurences": 300237},{238"keyword": "leather",239"occurences": 294240},{241"keyword": "multirom",242"occurences": 292243},{244"keyword": "brentwood",245"occurences": 290246},{247"keyword": "bluetooth",248"occurences": 288249},{250"keyword": "photograph",251"occurences": 287252},{253"keyword": "itunes",254"occurences": 283255},{256"keyword": "generation",257"occurences": 281258},{259"keyword": "next-gen",260"occurences": 279261},{262"keyword": "soni",263"occurences": 275264},{265"keyword": "bradfield",266"occurences": 273267},{268"keyword": "turbo",269"occurences": 272270},{271"keyword": "signature",272"occurences": 270273},{274"keyword": "impressions",275"occurences": 254276},{277"keyword": "motorola_ca",278"occurences": 250279},{280"keyword": "backtoschool",281"occurences": 248282},{283"keyword": "semi",284"occurences": 244285},{286"keyword": "life",287"occurences": 242288},{289"keyword": "stores",290"occurences": 241291},{292"keyword": "daily",293"occurences": 240294},{295"keyword": "ifa",296"occurences": 239297},{298"keyword": "prices",299"occurences": 235300},{301"keyword": "update",302"occurences": 235303},{304"keyword": "images",305"occurences": 233306},{307"keyword": "read",308"occurences": 229309}],310"valueField": "occurences",311    "titleField": "keyword",312    "startEffect": "elastic",313    "startDuration": 2,314    "labelRadius": 15,315    "innerRadius": "50%",316    "depth3D": 10,317    "balloonText": "[[keyword]]<br><span style='font-size:14px'><b>[[occurences]]</b> ([[percents]]%)</span>",318    "angle": 15,319    "exportConfig":{	320      menuItems: [{321      icon: '/lib/3/images/export.png',322      format: 'png'	  323      }]  324	}325});326jQuery('.chart-input').off().on('input change',function() {327	var property	= jQuery(this).data('property');328	var target		= chart;329	var value		= Number(this.value);330	chart.startDuration = 0;331	if ( property == 'innerRadius') {332		value += "%";333	}334	target[property] = value;335	chart.validateNow();...

resultant_file.js

Source: resultant_file.js

1var chart = AmCharts.makeChart("chartdiv", {2    "type": "pie",3	"theme": "none",4    "titles": [{5        "text": "Visitors countries",6        "size": 167    }],8    "dataProvider": [9{10"keyword": "moto",11"occurences": 1573712},{13"keyword": "motorola",14"occurences": 1266815},{16"keyword": "android",17"occurences": 585618},{19"keyword": "#google",20"occurences": 198621},{22"keyword": "motorolamoto360",23"occurences": 181724},{25"keyword": "lggwatchr",26"occurences": 172427},{28"keyword": "technology",29"occurences": 155230},{31"keyword": "september",32"occurences": 135033},{34"keyword": "motox",35"occurences": 129836},{37"keyword": "dickyfirmanzyah",38"occurences": 114039},{40"keyword": "tweet",41"occurences": 106542},{43"keyword": "nothing",44"occurences": 95445},{46"keyword": "deals",47"occurences": 91648},{49"keyword": "recovery",50"occurences": 86851},{52"keyword": "#motorola",53"occurences": 82354},{55"keyword": "cell",56"occurences": 80357},{58"keyword": "oneheart",59"occurences": 76260},{61"keyword": "review",62"occurences": 75463},{64"keyword": "moto360",65"occurences": 68266},{67"keyword": "specs",68"occurences": 66969},{70"keyword": "iphone",71"occurences": 62872},{73"keyword": "alternative",74"occurences": 60475},{76"keyword": "hits",77"occurences": 58278},{79"keyword": "malaysia",80"occurences": 58081},{82"keyword": "update",83"occurences": 58084},{85"keyword": "makeuseof",86"occurences": 54187},{88"keyword": "motorolamotox",89"occurences": 52890},{91"keyword": "gionee",92"occurences": 47393},{94"keyword": "daily",95"occurences": 45096},{97"keyword": "sony",98"occurences": 45099},{100"keyword": "watches",101"occurences": 429102},{103"keyword": "video",104"occurences": 427105},{106"keyword": "lg",107"occurences": 402108},{109"keyword": "ecosystem",110"occurences": 395111},{112"keyword": "droidturbo",113"occurences": 390114},{115"keyword": "giveaway",116"occurences": 374117},{118"keyword": "twitter",119"occurences": 372120},{121"keyword": "kbs",122"occurences": 315123},{124"keyword": "phones",125"occurences": 291126},{127"keyword": "tech",128"occurences": 264129},{130"keyword": "car",131"occurences": 236132},{133"keyword": "motorolamotog",134"occurences": 234135},{136"keyword": "sleeve",137"occurences": 230138},{139"keyword": "weekend",140"occurences": 225141},{142"keyword": "vs",143"occurences": 211144},{145"keyword": "style",146"occurences": 210147},{148"keyword": "vzwbuzz",149"occurences": 208150},{151"keyword": "powerhouse",152"occurences": 205153},{154"keyword": "prizes",155"occurences": 199156},{157"keyword": "hero3+",158"occurences": 182159},{160"keyword": "mobile",161"occurences": 181162},{163"keyword": "thetechdad",164"occurences": 178165},{166"keyword": "phone",167"occurences": 175168},{169"keyword": "lag",170"occurences": 169171},{172"keyword": "lcd",173"occurences": 168174},{175"keyword": "gen",176"occurences": 162177},{178"keyword": "vehicle",179"occurences": 161180},{181"keyword": "smartwatch",182"occurences": 156183},{184"keyword": "ahgiveaway",185"occurences": 128186},{187"keyword": "a",188"occurences": 127189},{190"keyword": "androidheadline",191"occurences": 126192},{193"keyword": "photo",194"occurences": 126195},{196"keyword": "body",197"occurences": 125198},{199"keyword": "pictures",200"occurences": 110201},{202"keyword": "mobiles",203"occurences": 109204},{205"keyword": "youtube",206"occurences": 108207},{208"keyword": "armor",209"occurences": 105210},{211"keyword": "date",212"occurences": 103213},{214"keyword": "shahadballan",215"occurences": 102216},{217"keyword": "apple",218"occurences": 98219},{220"keyword": "apps",221"occurences": 96222},{223"keyword": "monster",224"occurences": 92225},{226"keyword": "punjab",227"occurences": 91228},{229"keyword": "smartphone",230"occurences": 91231},{232"keyword": "today",233"occurences": 90234},{235"keyword": "nexus",236"occurences": 89237},{238"keyword": "yamaha",239"occurences": 89240},{241"keyword": "cellular",242"occurences": 82243},{244"keyword": "years",245"occurences": 82246},{247"keyword": "brand",248"occurences": 77249},{250"keyword": "skin",251"occurences": 77252},{253"keyword": "kimono-sleeve",254"occurences": 76255},{256"keyword": "thanthi",257"occurences": 76258},{259"keyword": "stay",260"occurences": 75261},{262"keyword": "chance",263"occurences": 74264},{265"keyword": "flipkart",266"occurences": 73267},{268"keyword": "motogp",269"occurences": 73270},{271"keyword": "post",272"occurences": 72273},{274"keyword": "via",275"occurences": 70276},{277"keyword": "jacket",278"occurences": 69279},{280"keyword": "tribute",281"occurences": 67282},{283"keyword": "life",284"occurences": 66285},{286"keyword": "records",287"occurences": 66288},{289"keyword": "tbt",290"occurences": 64291},{292"keyword": "khairykj",293"occurences": 63294},{295"keyword": "guys",296"occurences": 62297},{298"keyword": "winter",299"occurences": 62300},{301"keyword": "pair",302"occurences": 60303},{304"keyword": "deal",305"occurences": 59306},{307"keyword": "design",308"occurences": 58309}],310"valueField": "occurences",311    "titleField": "keyword",312    "startEffect": "elastic",313    "startDuration": 2,314    "labelRadius": 15,315    "innerRadius": "50%",316    "depth3D": 10,317    "balloonText": "[[keyword]]<br><span style='font-size:14px'><b>[[occurences]]</b> ([[percents]]%)</span>",318    "angle": 15,319    "exportConfig":{	320      menuItems: [{321      icon: '/lib/3/images/export.png',322      format: 'png'	  323      }]  324	}325});326jQuery('.chart-input').off().on('input change',function() {327	var property	= jQuery(this).data('property');328	var target		= chart;329	var value		= Number(this.value);330	chart.startDuration = 0;331	if ( property == 'innerRadius') {332		value += "%";333	}334	target[property] = value;335	chart.validateNow();...

Using AI Code Generation

1const fc = require("fast-check");2const { occurences } = require("fast-check-monorepo");3const isEven = (n) => n % 2 === 0;4const arbEven = fc.integer().filter(isEven);5fc.assert(6  fc.property(arbEven, (n) => {7    return occurences(isEven, n) > 0;8  })9);10const fc = require("fast-check");11const { occurences } = require("fast-check-monorepo");12const isEven = (n) => n % 2 === 0;13const arbEven = fc.integer().filter(isEven);14fc.assert(15  fc.property(arbEven, (n) => {16    return occurences(isEven, n) > 0;17  })18);

Using AI Code Generation

1const { check, property } = require('fast-check');2const { occurences } = require('fast-check-monorepo');3const { occurrences } = require('fast-check-monorepo');4check(property([1, 2, 3, 4, 5], (list) => {5  return occurrences(list, 1) === 1;6}));

Using AI Code Generation

1const fc = require('fast-check');2const { occurences } = require('fast-check');3const { expect } = require('chai');4describe('occurences', () => {5  it('should return the number of occurences of a value in an array', () => {6    fc.assert(7      fc.property(8        fc.array(fc.integer()),9        fc.integer(),10        (arr, val) => {11          expect(occurences(arr, val)).to.be.gte(0);12          expect(occurences(arr, val)).to.be.lte(arr.length);13          expect(occurences(arr, val)).to.be.equal(arr.filter(v => v === val).length);14        }15    );16  });17});

Using AI Code Generation

1const { check, property } = require('fast-check');2const { occurrences } = require('fast-check/lib/check/arbitrary/ArrayArbitrary');3const { integer } = require('fast-check/lib/check/arbitrary/IntegerArbitrary');4const { stringOf } = require('fast-check/lib/check/arbitrary/StringArbitrary');5const { constantFrom } = require('fast-check/lib/check/arbitrary/ConstantArbitrary');6const { tuple } = require('fast-check/lib/check/arbitrary/TupleArbitrary');7const { record } = require('fast-check/lib/check/arbitrary/RecordArbitrary');8const { frequency } = require('fast-check/lib/check/arbitrary/FrequencyArbitrary');9const { oneof } = require('fast-check/lib/check/arbitrary/OneOfArbitrary');10const { option } = require('fast-check/lib/check/arbitrary/OptionArbitrary');11const { dictionary } = require('fast-check/lib/check/arbitrary/DictionaryArbitrary');12const { set } = require('fast-check/lib/check/arbitrary/SetArbitrary');13const { map } = require('fast-check/lib/check/arbitrary/MapArbitrary');14const { date } = require('fast-check/lib/check/arbitrary/DateArbitrary');15const { bigInt } = require('fast-check/lib/check/arbitrary/BigIntArbitrary');16const { double } = require('fast-check/lib/check/arbitrary/DoubleArbitrary');17const { float } = require('fast-check/lib/check/arbitrary/FloatArbitrary');18const { char } = require('fast-check/lib/check/arbitrary/CharacterArbitrary');19const { unicode } = require('fast-check/lib/check/arbitrary/UnicodeArbitrary');20const { fullUnicode } = require('fast-check/lib/check/arbitrary/FullUnicodeArbitrary');21const { base64 } = require('fast-check/lib/check/arbitrary/Base64Arbitrary');22const { ascii } = require('fast-check/lib/check/arbitrary/AsciiArbitrary');23const { hexa } = require('fast-check/lib/check/arbitrary/HexaArbitrary');24const { base16 } = require('fast-check/lib/check/arbitrary/Base16Arbitrary');25const { base58 } = require('fast-check/lib/check/arbitrary/Base58Arbitrary');26const { base64ToBase16 } = require('fast-check/lib/check/arbitrary/Base64ToBase16Arbitrary');27const { base64ToBase58 } = require('fast-check/lib/check/arbitrary/Base64

Using AI Code Generation

1const { check } = require('fast-check')2const occurrences = require('fast-check/lib/check/arbitrary/OccurrencesArbitrary').default3const { integer } = require('fast-check')4const { frequency } = require('fast-check')5const { oneof } = require('fast-check')6const { tuple } = require('fast-check')7const { record } = require('fast-check')8const { constant } = require('fast-check')9const { string } = require('fast-check')10const { option } = require('fast-check')11const { array } = require('fast-check')12const { set } = require('fast-check')13const { map } = require('fast-check')14const { date } = require('fast-check')15const { double } = require('fast-check')16const { float } = require('fast-check')17const { char } = require('fast-check')18const { subarray } = require('fast-check')19const { subarrayBy } = require('fast-check')20const { subarrayByIndex } = require('fast-check')21const { subarrayByLength } = require('fast-check')22const { subarrayByRatio } = require('fast-check')23const { subarrayByStartEnd } = require('fast-check')24const { subarrayByStartLength } = require('fast-check')25const { subarrayByEndLength } = require('fast-check')26const { subarrayByStartEndLength } = require('fast-check')27const { subarrayByStartRatio } = require('fast-check')28const { subarrayByEndRatio } = require('fast-check')29const { subarrayByStartEndRatio } = require('fast-check')30const { subarrayByStartEndLengthRatio } = require('fast-check')31const { subarrayByIndexLength } = require('fast-check')32const { subarrayByIndexRatio } = require('fast-check')33const { subarrayByIndexLengthRatio } = require('fast-check')34const { subarrayByIndexStartEndLength } = require('fast-check')35const { subarrayByIndexStartEndLengthRatio } = require('fast-check')36const { subarrayByIndexStartEnd } = require('fast-check')37const { subarrayByIndexStartEndRatio } = require('fast-check')38const { subarrayByIndexStartLength } = require('fast-check')39const { subarrayByIndexStartLengthRatio } = require('fast-check')40const {

Using AI Code Generation

1const { occurrences } = require('fast-check-monorepo');2const { property } = require('fast-check');3const { generate } = require('fast-check');4const { check } = require('fast-check');5const checkOccurences = (text, word) => {6  const regex = new RegExp(word, 'g');7  return occurrences(text, regex);8};9const checkOccurencesProperty = property(10  (text, word) => {11    const count = checkOccurences(text, word);12    const regex = new RegExp(word, 'g');13    return count === (text.match(regex) || []).length;14  }15);16check(checkOccurencesProperty, {17});18    at occurrences (C:\Users\user\Documents\fast-check-monorepo\dist\index.js:1:131)19    at checkOccurences (C:\Users\user\Documents\fast-check-monorepo\test3.js:6:19)20    at Object.checkOccurencesProperty (C:\Users\user\Documents\fast-check-monorepo\test3.js:15:19)21    at Object.run (C:\Users\user\Documents\fast-check-monorepo22    at Object.check (C:\Users\user\Documents\fast-check-monorepo23    at Object.check (C:\Users\user\Documents\fast-check-monorepo24    at Object.<anonymous> (C:\Users\user\Documents\fast-check-monorepo\test3.js:20:1)25    at Module._compile (internal/modules/cjs/loader.js:1063:30)26    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1092:10)27    at Module.load (internal/modules/cjs/loader.js:928:32)

Using AI Code Generation

1const fc = require('fast-check');2const { occurences } = require('fast-check-monorepo');3const { max } = require('mathjs');4const gen = fc.integer(1, 100);5const occurencesGen = occurences(gen, 10);6fc.assert(7  fc.property(occurencesGen, (array) => {8    const maxOccurences = max(array);9    return maxOccurences <= 10;10  })11);12const fc = require('fast-check');13const { occurences } = require('fast-check-monorepo');14const { max } = require('mathjs');15const gen = fc.integer(1, 100);16const occurencesGen = occurences(gen, 10);17fc.check(18  (array) => {19    const maxOccurences = max(array);20    return maxOccurences <= 10;21  },22  { numRuns: 100 }23);24const fc = require('fast-check');25const { occurences } = require('fast-check-monorepo');26const { max } = require('mathjs');27const gen = fc.integer(1, 100);28const occurencesGen = occurences(gen, 10);29fc.assert(30  fc.asyncProperty(occurencesGen, async (array) => {31    const maxOccurences = max(array);32    return maxOccurences <= 10;33  })34);35const fc = require('fast-check');36const { occurences } = require('fast-check-monorepo');37const { max } = require('mathjs');38const gen = fc.integer(1

Using AI Code Generation

1const fc = require("fast-check");2const { record } = require("fast-check");3const { occurrences } = require("fast-check");4const { string } = require("fast-check");5const { array } = require("fast-check");6const { constantFrom } = require("fast-check");7const { option } = require("fast-check");8const { oneof } = require("fast-check");9const { tuple } = require("fast-check");10const { recordWithConstraints } = require("fast-check");11const arb = recordWithConstraints(12  occurrences(13    {14    },15    string()16  (r) => {17    return r.a[0] !== r.b[0];18  }19);20fc.assert(21  fc.property(arb, (r) => {22    return r.a[0] !== r.b[0];23  })24);25const fc = require("fast-check");26const { record } = require("fast-check");27const { occurrences } = require("fast-check");28const { string } = require("fast-check");29const { array } = require("fast-check");30const { constantFrom } = require("fast-check");31const { option } = require("fast-check");32const { oneof } = require("fast-check");33const { tuple } = require("fast-check");34const { recordWithConstraints } = require("fast-check");35const arb = recordWithConstraints(36  occurrences(37    {38    },39    string()40  (r) => {41    return r.a[0] !== r.b[0];42  }43);44fc.assert(45  fc.property(arb, (r) => {46    return r.a[0] !== r.b[0];47  })48);49const fc = require("fast-check

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