09/27 - Turmeric Thursday!

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jklmnop

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Welcome to today's MTurk Crowd work thread!

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Please let a mod know if you have any questions, and have a great turking day! - MTC staff

 

Jerami

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Title: Help us pretest this survey on cloud database satisfaction | Accept
Requester: Pivotal Perspectives Team [A13T9H8Q53Q65K] Contact
TV: [Hrly=$11.50] [Pay=3.10] [Fast=5.00] [Comm=null] [Rej=0] [ToS=0] [Blk=0]
TO: [Pay=2.23] [Fast=2.81] [Comm=1.76] [Fair=3.47] [Reviews=33] [ToS=0]
TO2: [Hrly=4.78] [Pen=0.50 days] [Res=0%] [Rec=10%] [Rej=0] [ToS=2] [Brk=2]
Reward: 0.25
Duration: 7200
Available: 1
Description: Test the survey by answering a few screening quesitons, get a $4.5 bonus for completing the entire 15 minute survey
Qualifications: HIT approval rate (%) GreaterThan 95; Total approved HITs GreaterThan 5000; Location EqualTo US
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

Jerami

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Title: Fun psychology / vision / language experiment! | Accept
Requester: Shane Steinert-Threlkeld [A15O9ZYX0UM05V] Contact
TV: No Reviews
TO: [Pay=3.88] [Fast=5.00] [Comm=0.00] [Fair=5.00] [Reviews=8] [ToS=0]
TO2: No Reviews
Reward: 4.00
Duration: 2700
Available: 1
Description: You will be asked to judge whether certain sentences are true or false in the context of an image.
Qualifications: HIT approval rate (%) GreaterThanOrEqualTo 95; Location EqualTo US
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

Jerami

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Title: Answer a survey about a new brand | Accept
Requester: Jaclyn Atlas [A26G8FFON9DWMB] Contact
TV: No Reviews
TO: [Pay=5.00] [Fast=5.00] [Comm=0.00] [Fair=5.00] [Reviews=1] [ToS=0]
TO2: No Reviews
Reward: 1.00
Duration: 3600
Available: 1
Description: Give us your opinion about our products
Qualifications: Location In US-CA, US-CO, US-CT, US-DC, US-DE, US-IL, US-MA, US-MD, US-ME, US-MI, US-NH, US-NJ, US-NY, US-OH, US-OR, US-PA, US-RI, US-VT; LinkedIn Account Holder EqualTo 1; Household Income - $100,000 or more EqualTo 1
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

Jerami

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Title: Food Technology: Attitudes and Risks Study | Accept
Requester: TTU Language and Social Interaction Lab [AN608R8T7BJUK] Contact
TV: [Hrly=$12.06] [Pay=3.67] [Fast=null] [Comm=null] [Rej=0] [ToS=0] [Blk=0]
TO: [Pay=3.52] [Fast=4.50] [Comm=3.33] [Fair=4.50] [Reviews=53] [ToS=0]
TO2: [Hrly=0.01] [Pen=0.92 days] [Res=100%] [Rec=33%] [Rej=1] [ToS=0] [Brk=1]
Reward: 4.00
Duration: 10800
Available: 1
Description: Answer survey questions about food technologies
Qualifications: Location In AU, BS, CA, GB, IE, NZ, US; HIT approval rate (%) GreaterThanOrEqualTo 99; Total approved HITs GreaterThan 50
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

GTR

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i'm comin after you number 1
 
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Jerami

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i'm comin after you number 1
Hate to sound like an idiot. Actually, I don't mind sounding like an idiot. :p
Aaaaanywayy, what are those numbers referring to? If I were to guess, Fantasy Foosball? But, I've seen the posts enough that I have to ask what the frack I'm looking at. Inquiring minds want to know.
 

Jerami

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Title: Prediction Task, Scientific Survey | Accept
Requester: Simon Kloker [A2FGLI45XXCGZ0] Contact
TV: No Reviews
TO: No Reviews
TO2: No Reviews
Reward: 1.60
Duration: 2700
Available: 1
Description: This is a survey for scientific purposes. You will be asked to assess future events and fill some further questionnaires.
Qualifications: Total approved HITs GreaterThan 100; Completed Prediction Task already DoesNotExist ; HIT approval rate (%) GreaterThan 90; Location EqualTo US
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td]
under 15min[/td][/tr]
 

GTR

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Hate to sound like an idiot. Actually, I don't mind sounding like an idiot. :p
Aaaaanywayy, what are those numbers referring to? If I were to guess, Fantasy Foosball? But, I've seen the posts enough that I have to ask what the frack I'm looking at. Inquiring minds want to know.
it's a earnings script to compare how big your PE is to others
mTurk Slow or Just Me? ("SOJM")

Code:
// ==UserScript==
// @name         mTurk Slow or Just Me? ("SOJM")
// @namespace    salembeats
// @version      1.67
// @description  UPDATE: Quick HUD added to compare yourself to the "normal" range (the middle 50% of responses, represented by the box in the box/whisker plot). NOTE: Requires Kadauchi's "MTurk Dashboard Enhancer" script to function properly.
// @author       Cuyler Stuwe (salembeats)
// @include      https://worker.mturk.com/dashboard*
// ==/UserScript==

const globals = {
    CLIENT_VERSION: "synchronicity",
    API_BASE: "https://ne26dv9hq6.execute-api.us-west-2.amazonaws.com/dev"
};

// Minified, synchronous SHA-256 transform function copied from: http://geraintluff.github.io/sha256/
var sha256=function a(b){function c(a,b){return a>>>b|a<<32-b}for(var d,e,f=Math.pow,g=f(2,32),h="length",i="",j=[],k=8*b[h],l=a.h=a.h||[],m=a.k=a.k||[],n=m[h],o={},p=2;64>n;p++)if(!o[p]){for(d=0;313>d;d+=p)o[d]=p;l[n]=f(p,.5)*g|0,m[n++]=f(p,1/3)*g|0}for(b+="\x80";b[h]%64-56;)b+="\x00";for(d=0;d<b[h];d++){if(e=b.charCodeAt(d),e>>8)return;j[d>>2]|=e<<(3-d)%4*8}for(j[j[h]]=k/g|0,j[j[h]]=k,e=0;e<j[h];){var q=j.slice(e,e+=16),r=l;for(l=l.slice(0,8),d=0;64>d;d++){var s=q[d-15],t=q[d-2],u=l[0],v=l[4],w=l[7]+(c(v,6)^c(v,11)^c(v,25))+(v&l[5]^~v&l[6])+m[d]+(q[d]=16>d?q[d]:q[d-16]+(c(s,7)^c(s,18)^s>>>3)+q[d-7]+(c(t,17)^c(t,19)^t>>>10)|0),x=(c(u,2)^c(u,13)^c(u,22))+(u&l[1]^u&l[2]^l[1]&l[2]);l=[w+x|0].concat(l),l[4]=l[4]+w|0}for(d=0;8>d;d++)l[d]=l[d]+r[d]|0}for(d=0;8>d;d++)for(e=3;e+1;e--){var y=l[d]>>8*e&255;i+=(16>y?0:"")+y.toString(16)}return i};

function exists(thing) {
    return thing !== undefined && thing !== null;
}

function amazonDate() {
    return new Date(Date.now() + (new Date().getTimezoneOffset()*60*1000) - (420*60*1000));
}

function medianOfSortedValues(sortedValuesArray) {

    const middlePosition = Math.floor(sortedValuesArray.length/2);

    if(sortedValuesArray.length % 2) {
        return sortedValuesArray[middlePosition];
    }
    else {
        return (sortedValuesArray[middlePosition-1] + sortedValuesArray[middlePosition]) / 2.0;
    }

}

function sidesOfMedian(sortedValuesArray) {

    const hasEvenNumberOfItems = ( sortedValuesArray.length % 2 === 0 );

    if(hasEvenNumberOfItems) {
        return [
            sortedValuesArray.slice(0, (sortedValuesArray.length / 2)),
            sortedValuesArray.slice((sortedValuesArray.length / 2), sortedValuesArray.length)
        ];
    }
    else {
        const indexToSplitOn = ((sortedValuesArray.length + 1) / 2) - 1;

        return [
            sortedValuesArray.slice(0, indexToSplitOn),
            sortedValuesArray.slice(indexToSplitOn + 1, sortedValuesArray.length)
        ];
    }
}


function hitLogTotalUsd() {

    const hitLog = JSON.parse(localStorage.getItem("WMTD_hitLog"));

    return Object.keys(hitLog).reduce((acc, currentHitLogKey) => {

        return (acc + hitLog[currentHitLogKey].reward.amount_in_dollars);

    }, 0);

}

function dateYYYYMMDD(date) {

    const now = date;
    const [year, month, day] = [now.getFullYear(), now.getMonth() + 1, now.getDate()].map(num => num.toLocaleString("en-US", {minimumIntegerDigits: 2, useGrouping: false}));
    const todaysDateStr = `${year}-${month}-${day}`;
    return todaysDateStr;

}

function todaysDateYYYYMMDD() {
    return dateYYYYMMDD(new Date());
}

function amazonDateYYYYMMDD() {
    return dateYYYYMMDD(amazonDate());
}

function lastWorkLoggedDateYYYYMMDD() {
    return localStorage.getItem("WMTD_date");
}

function todaysTotal() {

    const lastRecordedDate = lastWorkLoggedDateYYYYMMDD();

    if(lastRecordedDate === amazonDateYYYYMMDD()) {

        return hitLogTotalUsd();

    }
    else {

        return null;

    }

}

function todaysTotalMTS() {
  const mtsProjectedEarnings = document.getElementById('mts-ht-earnings').textContent;
  return Number(mtsProjectedEarnings.replace(/[^0-9.]/g, ''));
}

function workerId() {

    const workerIdCopyElement = document.querySelector(`[data-react-class="require('reactComponents/common/CopyText')['default']"]`);
    return JSON.parse(workerIdCopyElement.dataset.reactProps).textToCopy;

}

function workerIdHash() {

    return sha256(workerId());

}

function userEarningsPayload() {

    const payload = JSON.stringify({
        idHash: workerIdHash(),
        date: lastWorkLoggedDateYYYYMMDD(),
        total: todaysTotal() || todaysTotalMTS(),
        clientVersion: globals.CLIENT_VERSION
    });

    return payload;

}

async function submitUserEarnings() {

    const apiEndpoint = `${globals.API_BASE}/store`;

    const responseStream = await fetch(apiEndpoint, {
        method: "POST",
        body: userEarningsPayload(),
        headers: {
            "Content-Type": "application/json"
        }
    });

    const response = await responseStream.json();
    return response;

}

function injectAveragePERow() {
    const el = document.getElementById("TodaysActivityAdditionalInfo") || document.getElementById('dashboard-available-earnings').querySelector('.border-gray-lightest').children[0];

    el.insertAdjacentHTML("beforebegin", `
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Today's Community Average</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <a id="retrieveCommunityAverage" href="javascript:void(0);">Retrieve Community Average</a>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Low, Med, High</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="tcLowMedHigh">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong><span style="color: white; background: rgb(127,127,127);">Normal Range</span> vs. <span style="background: black; color: white;">You</span></strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="normalRange">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Box+Whisker Plot</strong>
            </div>
            <div style="text-align: center;">
                <img id="boxplotImage" style="max-width: 270px;" src="">
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="rank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Nearest Competitor</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="nearestCompetitor"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="leagueRank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leagueLeaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Best</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localBest"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Past Avg</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localAverage"></div>
            </div>
        </div>
    `);
}

function boxplotRenderUrl(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined
}) {
    return (`http://www.imathas.com/stattools/boxplot.php?n=1&showlabels=0&title0=&ds0q0=${params.low.replace("$", "")}&ds0q1=${params.firstQuartile.replace("$", "")}&ds0q2=${params.median.replace("$", "")}&ds0q3=${params.thirdQuartile.replace("$", "")}&ds0q4=${params.high.replace("$", "")}&title1=&ds1q0=&ds1q1=&ds1q2=&ds1q3=&ds1q4=&title2=&ds2q0=&ds2q1=&ds2q2=&ds2q3=&ds2q4=&xmin=0&xmax=${Math.floor((+params.high.replace("$", "")) + 5)}&ticks=5&axistitle=&imgwidth=300&imgheight=120`);
}

function embedBoxAndWhiskerData(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined}) {
    document.getElementById("tcLowMedHigh").dataset.boxAndWhiskerPoints = JSON.stringify(params);
    document.getElementById("boxplotImage").setAttribute("src", boxplotRenderUrl(params));
}

function rank(userEarnings, allUsersAscendingSortedEarnings) {

    return ( [...allUsersAscendingSortedEarnings].reverse().indexOf(userEarnings) + 1 );

}

function nearestCompetitorTotalAndGapTuple(userEarnings, allUsersAscendingSortedEarnings) {

    const hasCompetitors = ( allUsersAscendingSortedEarnings.length > 1 );
    if(!hasCompetitors) { return [userEarnings, 0]; }

    const userEarningsIndex = allUsersAscendingSortedEarnings.indexOf(userEarnings);

    const isLeader = ( userEarningsIndex === allUsersAscendingSortedEarnings.length - 1 );

    const tiedEarningsErrorFactor = 0.01;

    let nearestCompetitorEarnings;
    if(isLeader) {
        nearestCompetitorEarnings = [...allUsersAscendingSortedEarnings].reverse().find(earnings => {
            return earnings < ( userEarnings - tiedEarningsErrorFactor );
        });
    }
    else {
        nearestCompetitorEarnings = allUsersAscendingSortedEarnings.find(earnings => {
            return earnings > ( userEarnings + tiedEarningsErrorFactor );
        });
    }

    const nearestCompetitorGap = nearestCompetitorEarnings - userEarnings;

    return [nearestCompetitorEarnings, nearestCompetitorGap];
}

function displayRank(rank, numberOfPositions) {

    const relativeThresholdAtWhichToDisplayTopPercentile = 0.5;

    const topPercentileZeroToOne = ( 1 - ( (numberOfPositions - rank) / numberOfPositions ) );

    const formattedTopPercentile = topPercentileZeroToOne.toLocaleString("en-US", {style: "percent"});

    document.getElementById("rank").innerHTML = `# <strong>${rank}</strong> / ${numberOfPositions} ${topPercentileZeroToOne <= relativeThresholdAtWhichToDisplayTopPercentile ? `( Top <strong>${formattedTopPercentile}</strong> )` : ""}`;
}

function displayNearestCompetitorInfo(nearestCompetitorTotalAndGapTuple) {

    const [nearestCompetitorTotal, nearestCompetitorGap] = nearestCompetitorTotalAndGapTuple;

    const sign = ( nearestCompetitorGap >= 0 ? "+" : "-" );
    const color = ( sign === "+" ? "green" : "red" );
    const absoluteGap = Math.abs(nearestCompetitorGap);

    const [nearestCompetitorTotalFormatted, absoluteGapFormatted] = [nearestCompetitorTotal, absoluteGap].map(val => val.toLocaleString("en-US", {style: "currency", currency: "USD"}));

    document.getElementById("nearestCompetitor").innerHTML = `${nearestCompetitorTotalFormatted} ( <span style="color: ${color};">${sign} ${absoluteGapFormatted}</span> )`;

}

function leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings) {
    const descendingEarnings = [...allUsersAscendingSortedEarnings].reverse();

    return descendingEarnings.map((earnings, index) => {
        return (`
            <option>[#${index+1}]: ${earnings.toLocaleString("en-US", {style: "currency", currency: "USD"})}</option>
        `);
    }).join("");
}

function displayLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function displayLeagueLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leagueLeaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function localAllTimeBest(usdAmountToSetTo) {
    if(exists(usdAmountToSetTo)) {
        localStorage.setItem("sojmLocalAllTimeBest", usdAmountToSetTo);
    }
    return +(localStorage.getItem("sojmLocalAllTimeBest") || "0");
}

function updateLocalAllTimeBestIfAppropriateTo(usdAmountToSetTo) {
    if(usdAmountToSetTo > localAllTimeBest()) {
        return localAllTimeBest(usdAmountToSetTo);
    }
    else {
        return localAllTimeBest();
    }
}

function getLocalDailyHighs() {
    return JSON.parse(localStorage.getItem("sojmLocalDailyHighs") || "{}");
}

function includeInLocalDailyHigh(amount, dateYYYYMMDD) {
    const highs = getLocalDailyHighs();
    highs[dateYYYYMMDD] = amount;
    localStorage.setItem("sojmLocalDailyHighs", JSON.stringify(highs));
}

function getHistoricalLocalDailyHighAverage() {

    const highsExceptToday = getLocalDailyHighs();
    delete highsExceptToday[amazonDateYYYYMMDD()];

    const datesTracked = Object.keys(highsExceptToday);
    const numberOfDatesTracked = datesTracked.length;

    const totalAmountTracked = datesTracked.reduce((acc, dateTracked) => {
        return (acc + highsExceptToday[dateTracked]);
    }, 0);

    return ( totalAmountTracked / numberOfDatesTracked );

}

function displayLocalBest() {
    document.getElementById("localBest").innerHTML = `<span style="color: gray;">${(localAllTimeBest() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function displayLocalAverage() {
    document.getElementById("localAverage").innerHTML = `<span style="color: gray;">${(getHistoricalLocalDailyHighAverage() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function gaps(sortedAscendingEarnings) {
    const ascendingSortedGaps = sortedAscendingEarnings.reduce((acc, num) => {
        return { prevNumber: num, gaps: [ ...acc.gaps, num - acc.prevNumber ] }
    }, { prevNumber: 0, gaps: [] }).gaps.sort((a, b) => (a-b));

    return ascendingSortedGaps;
}

function averageGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    const numberOfGaps = gapsFromSortedValues.length;
    const sumOfGaps = gapsFromSortedValues.reduce((acc, gap) => {
        return ( acc + gap );
    }, 0);
    return ( sumOfGaps / numberOfGaps );
}

function medianGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    return medianOfSortedValues(gapsFromSortedValues);
}

function indicesOfInflectionPoints(sortedAscendingEarnings) {

    const avgGap = averageGap(sortedAscendingEarnings);

    const inflectionPointIndices = [];

    for(let i = 0; i < sortedAscendingEarnings.length - 1; i++) {

        const earningsAtI = sortedAscendingEarnings[i];
        const earningsAboveI = sortedAscendingEarnings[i + 1];
        const gap = earningsAboveI - earningsAtI;

        if(gap >= avgGap) {
            inflectionPointIndices.push(i + 1);
        }

    }

    return inflectionPointIndices;
}

function hasInflectionPoints(ascendingSortedValues) {
    return ( indicesOfInflectionPoints(ascendingSortedValues).length > 0 );
}

function splitAtFirstInflectionPoint(ascendingSortedValues) {
    const firstInflectionPointIndex = indicesOfInflectionPoints(ascendingSortedValues)[0];
    return [
        ascendingSortedValues.slice(0, firstInflectionPointIndex),
        ascendingSortedValues.slice(firstInflectionPointIndex)
    ];
}

function splitIntoLeagues(ascendingSortedValues, maximumLeagueCount) {
    if(!hasInflectionPoints(ascendingSortedValues) || maximumLeagueCount === 1) {
        return [ascendingSortedValues];
    }
    else {
        const [lowerLeague, upperLeague] = splitAtFirstInflectionPoint(ascendingSortedValues);
        return [lowerLeague, ...splitIntoLeagues(upperLeague, (exists(maximumLeagueCount) ? maximumLeagueCount - 1 : null))];
    }
}

function findLeagueAndRankIndex(earnings, leagues) {
    for(let leagueIndex = 0; leagueIndex < leagues.length; leagueIndex++) {
        const league = leagues[leagueIndex];
        for(let rankIndex = 0; rankIndex < league.length; rankIndex++) {
            const earningsAtRank = league[rankIndex];
            if(earnings === earningsAtRank) {
                return {
                    leagueIndex,
                    rankIndex
                };
            }
        }
    }

    return undefined;
}

function leagueIndexToTitle(leagueIndex, numberOfLeagues) {

    const maximumNumberOfLeagues = 5;
    const offset = maximumNumberOfLeagues - numberOfLeagues;
    const adjustedLeagueIndex = leagueIndex + offset;

    return ([
        "Bronze",
        "Silver",
        "Gold",
        "Platinum",
        "Diamond"
    ])[adjustedLeagueIndex];
}

function leagueTitleToCSSColor(leagueTitle) {
    return ({
        "Bronze": "brown",
        "Silver": "gray",
        "Gold": "orange",
        "Platinum": "silver",
        "Diamond": "aqua"
    })[leagueTitle];
}

function displayLeagueRank(leagueTitle, leaguePosition, leagueSize) {
    document.getElementById("leagueRank").innerHTML = `<span style="font-weight: 700; color: ${leagueTitleToCSSColor(leagueTitle)};">${leagueTitle}</span>: ( # <strong>${leaguePosition}</strong> / ${leagueSize} )`;
}

function displayNormalRangeVsYou(firstQuartile, thirdQuartile, total) {

    const generateUserTotalHTML = (lowMedHigh) => `<span style="background: black; color: ${lowMedHigh === "low" ? ("rgb(255, 150, 150)") : ( lowMedHigh === "med" ? "rgb(150, 255, 150)" : "rgb(150, 150, 255)" )}">${total.toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
    const generateNormalBoundHTML = (value) => `<span style="color: white; background: rgb(127,127,127);">${value}</span>`;

    const isBelowNormal = ( total < +firstQuartile.replace("$", "") );
    const isAboveNormal = ( total > +thirdQuartile.replace("$", "") );
    const isWithinNormal = !isBelowNormal && !isAboveNormal;

    let normalRangeHTML = ``;

    if(isBelowNormal) {
        normalRangeHTML += `${generateUserTotalHTML("low")} - `;
    }

    normalRangeHTML += `${generateNormalBoundHTML(firstQuartile)} -`;

    if(isWithinNormal) {
        normalRangeHTML += ` ${generateUserTotalHTML("med")} -`;
    }

    normalRangeHTML += ` ${generateNormalBoundHTML(thirdQuartile)}`;

    if(isAboveNormal) {
        normalRangeHTML += ` - ${generateUserTotalHTML("high")}`;
    }

    document.getElementById("normalRange").innerHTML = normalRangeHTML;
}

async function main() {

    injectAveragePERow();

    document.getElementById("retrieveCommunityAverage").addEventListener("click", async e => {

        const earningsApiResponse = await submitUserEarnings();

        if(exists(earningsApiResponse.averageEarningsForToday)) {

            const sortedIndividualEarnings = [...earningsApiResponse.individualEarningsForToday].sort((a,b) => a-b);

            const lowestIndividualEarnings = sortedIndividualEarnings[0].toLocaleString("en-US", {style: "currency", currency: "USD"});
            const medianIndividualEarnings = medianOfSortedValues(sortedIndividualEarnings).toLocaleString("en-US", {style: "currency", currency: "USD"});
            const highestIndividualEarnings = sortedIndividualEarnings[sortedIndividualEarnings.length-1].toLocaleString("en-US", {style: "currency", currency: "USD"});

            const [firstQuartile, thirdQuartile] = sidesOfMedian(sortedIndividualEarnings).map(side => medianOfSortedValues(side).toLocaleString("en-US", {style: "currency", currency: "USD"}));

            embedBoxAndWhiskerData({low: lowestIndividualEarnings,
                                    high: highestIndividualEarnings,
                                    median: medianIndividualEarnings,
                                    firstQuartile,
                                    thirdQuartile});

            document.getElementById("tcLowMedHigh").innerHTML = `
                <span style='color: red;'>${lowestIndividualEarnings}</span>,
                <span style='color: orange;'>${medianIndividualEarnings}</span>,
                <span style='color: green;'>${highestIndividualEarnings}</span>`;

            e.target.innerText = earningsApiResponse.averageEarningsForToday.toLocaleString("en-US", {style: "currency", currency: "USD"});

            const total = ( todaysTotal() || todaysTotalMTS() );

            displayNormalRangeVsYou( firstQuartile, thirdQuartile, total );

            displayRank( rank(total, sortedIndividualEarnings), sortedIndividualEarnings.length );
            displayNearestCompetitorInfo( nearestCompetitorTotalAndGapTuple(total, sortedIndividualEarnings) );
            displayLeaderboard( sortedIndividualEarnings );

            includeInLocalDailyHigh( total, amazonDateYYYYMMDD() );
            updateLocalAllTimeBestIfAppropriateTo( total );

            displayLocalBest();
            displayLocalAverage();

            const maxNumberOfLeagues = 5;

            const leagues = splitIntoLeagues( sortedIndividualEarnings, maxNumberOfLeagues );
            const numberOfLeagues = leagues.length;
            const { leagueIndex, rankIndex } = findLeagueAndRankIndex( total, leagues );
            const league = leagues[leagueIndex];
            const leagueSize = league.length;
            const leaguePosition = leagueSize - rankIndex;
            const leagueTitle = leagueIndexToTitle(leagueIndex, numberOfLeagues );

            displayLeagueRank(leagueTitle, leaguePosition, leagueSize);
            displayLeagueLeaderboard( league );

        }
        else if(["Your request is missing fields: total", "Your report is outdated"].includes(earningsApiResponse.errorMessage)) {
            e.target.innerText = "Work before comparing!";
        }
        else {
            e.target.innerText = earningsApiResponse.errorMessage;
        }

    });
}

main();
 
  • Like
Reactions: cb456 and alk69

Jerami

Well-Known Member
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Title: Fun psychology / vision / language experiment! (bug fixed) | Accept
Requester: Shane Steinert-Threlkeld [A15O9ZYX0UM05V] Contact
TV: No Reviews
TO: [Pay=3.88] [Fast=5.00] [Comm=0.00] [Fair=5.00] [Reviews=8] [ToS=0]
TO2: No Reviews
Reward: 4.00
Duration: 2700
Available: 1
Description: You will be asked to judge whether certain sentences are true or false in the context of an image.
Qualifications: HIT approval rate (%) GreaterThanOrEqualTo 95; Location EqualTo US
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

alk69

Well-Known Member
Joined
Mar 22, 2016
Messages
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Reaction score
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Points
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Age
73
Location
over the edge
Gender
Female
it's a earnings script to compare how big your PE is to others
mTurk Slow or Just Me? ("SOJM")

Code:
// ==UserScript==
// @name         mTurk Slow or Just Me? ("SOJM")
// @namespace    salembeats
// @version      1.67
// @description  UPDATE: Quick HUD added to compare yourself to the "normal" range (the middle 50% of responses, represented by the box in the box/whisker plot). NOTE: Requires Kadauchi's "MTurk Dashboard Enhancer" script to function properly.
// @author       Cuyler Stuwe (salembeats)
// @include      https://worker.mturk.com/dashboard*
// ==/UserScript==

const globals = {
    CLIENT_VERSION: "synchronicity",
    API_BASE: "https://ne26dv9hq6.execute-api.us-west-2.amazonaws.com/dev"
};

// Minified, synchronous SHA-256 transform function copied from: http://geraintluff.github.io/sha256/
var sha256=function a(b){function c(a,b){return a>>>b|a<<32-b}for(var d,e,f=Math.pow,g=f(2,32),h="length",i="",j=[],k=8*b[h],l=a.h=a.h||[],m=a.k=a.k||[],n=m[h],o={},p=2;64>n;p++)if(!o[p]){for(d=0;313>d;d+=p)o[d]=p;l[n]=f(p,.5)*g|0,m[n++]=f(p,1/3)*g|0}for(b+="\x80";b[h]%64-56;)b+="\x00";for(d=0;d<b[h];d++){if(e=b.charCodeAt(d),e>>8)return;j[d>>2]|=e<<(3-d)%4*8}for(j[j[h]]=k/g|0,j[j[h]]=k,e=0;e<j[h];){var q=j.slice(e,e+=16),r=l;for(l=l.slice(0,8),d=0;64>d;d++){var s=q[d-15],t=q[d-2],u=l[0],v=l[4],w=l[7]+(c(v,6)^c(v,11)^c(v,25))+(v&l[5]^~v&l[6])+m[d]+(q[d]=16>d?q[d]:q[d-16]+(c(s,7)^c(s,18)^s>>>3)+q[d-7]+(c(t,17)^c(t,19)^t>>>10)|0),x=(c(u,2)^c(u,13)^c(u,22))+(u&l[1]^u&l[2]^l[1]&l[2]);l=[w+x|0].concat(l),l[4]=l[4]+w|0}for(d=0;8>d;d++)l[d]=l[d]+r[d]|0}for(d=0;8>d;d++)for(e=3;e+1;e--){var y=l[d]>>8*e&255;i+=(16>y?0:"")+y.toString(16)}return i};

function exists(thing) {
    return thing !== undefined && thing !== null;
}

function amazonDate() {
    return new Date(Date.now() + (new Date().getTimezoneOffset()*60*1000) - (420*60*1000));
}

function medianOfSortedValues(sortedValuesArray) {

    const middlePosition = Math.floor(sortedValuesArray.length/2);

    if(sortedValuesArray.length % 2) {
        return sortedValuesArray[middlePosition];
    }
    else {
        return (sortedValuesArray[middlePosition-1] + sortedValuesArray[middlePosition]) / 2.0;
    }

}

function sidesOfMedian(sortedValuesArray) {

    const hasEvenNumberOfItems = ( sortedValuesArray.length % 2 === 0 );

    if(hasEvenNumberOfItems) {
        return [
            sortedValuesArray.slice(0, (sortedValuesArray.length / 2)),
            sortedValuesArray.slice((sortedValuesArray.length / 2), sortedValuesArray.length)
        ];
    }
    else {
        const indexToSplitOn = ((sortedValuesArray.length + 1) / 2) - 1;

        return [
            sortedValuesArray.slice(0, indexToSplitOn),
            sortedValuesArray.slice(indexToSplitOn + 1, sortedValuesArray.length)
        ];
    }
}


function hitLogTotalUsd() {

    const hitLog = JSON.parse(localStorage.getItem("WMTD_hitLog"));

    return Object.keys(hitLog).reduce((acc, currentHitLogKey) => {

        return (acc + hitLog[currentHitLogKey].reward.amount_in_dollars);

    }, 0);

}

function dateYYYYMMDD(date) {

    const now = date;
    const [year, month, day] = [now.getFullYear(), now.getMonth() + 1, now.getDate()].map(num => num.toLocaleString("en-US", {minimumIntegerDigits: 2, useGrouping: false}));
    const todaysDateStr = `${year}-${month}-${day}`;
    return todaysDateStr;

}

function todaysDateYYYYMMDD() {
    return dateYYYYMMDD(new Date());
}

function amazonDateYYYYMMDD() {
    return dateYYYYMMDD(amazonDate());
}

function lastWorkLoggedDateYYYYMMDD() {
    return localStorage.getItem("WMTD_date");
}

function todaysTotal() {

    const lastRecordedDate = lastWorkLoggedDateYYYYMMDD();

    if(lastRecordedDate === amazonDateYYYYMMDD()) {

        return hitLogTotalUsd();

    }
    else {

        return null;

    }

}

function todaysTotalMTS() {
  const mtsProjectedEarnings = document.getElementById('mts-ht-earnings').textContent;
  return Number(mtsProjectedEarnings.replace(/[^0-9.]/g, ''));
}

function workerId() {

    const workerIdCopyElement = document.querySelector(`[data-react-class="require('reactComponents/common/CopyText')['default']"]`);
    return JSON.parse(workerIdCopyElement.dataset.reactProps).textToCopy;

}

function workerIdHash() {

    return sha256(workerId());

}

function userEarningsPayload() {

    const payload = JSON.stringify({
        idHash: workerIdHash(),
        date: lastWorkLoggedDateYYYYMMDD(),
        total: todaysTotal() || todaysTotalMTS(),
        clientVersion: globals.CLIENT_VERSION
    });

    return payload;

}

async function submitUserEarnings() {

    const apiEndpoint = `${globals.API_BASE}/store`;

    const responseStream = await fetch(apiEndpoint, {
        method: "POST",
        body: userEarningsPayload(),
        headers: {
            "Content-Type": "application/json"
        }
    });

    const response = await responseStream.json();
    return response;

}

function injectAveragePERow() {
    const el = document.getElementById("TodaysActivityAdditionalInfo") || document.getElementById('dashboard-available-earnings').querySelector('.border-gray-lightest').children[0];

    el.insertAdjacentHTML("beforebegin", `
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Today's Community Average</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <a id="retrieveCommunityAverage" href="javascript:void(0);">Retrieve Community Average</a>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Low, Med, High</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="tcLowMedHigh">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong><span style="color: white; background: rgb(127,127,127);">Normal Range</span> vs. <span style="background: black; color: white;">You</span></strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="normalRange">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Box+Whisker Plot</strong>
            </div>
            <div style="text-align: center;">
                <img id="boxplotImage" style="max-width: 270px;" src="">
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="rank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Nearest Competitor</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="nearestCompetitor"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="leagueRank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leagueLeaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Best</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localBest"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Past Avg</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localAverage"></div>
            </div>
        </div>
    `);
}

function boxplotRenderUrl(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined
}) {
    return (`http://www.imathas.com/stattools/boxplot.php?n=1&showlabels=0&title0=&ds0q0=${params.low.replace("$", "")}&ds0q1=${params.firstQuartile.replace("$", "")}&ds0q2=${params.median.replace("$", "")}&ds0q3=${params.thirdQuartile.replace("$", "")}&ds0q4=${params.high.replace("$", "")}&title1=&ds1q0=&ds1q1=&ds1q2=&ds1q3=&ds1q4=&title2=&ds2q0=&ds2q1=&ds2q2=&ds2q3=&ds2q4=&xmin=0&xmax=${Math.floor((+params.high.replace("$", "")) + 5)}&ticks=5&axistitle=&imgwidth=300&imgheight=120`);
}

function embedBoxAndWhiskerData(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined}) {
    document.getElementById("tcLowMedHigh").dataset.boxAndWhiskerPoints = JSON.stringify(params);
    document.getElementById("boxplotImage").setAttribute("src", boxplotRenderUrl(params));
}

function rank(userEarnings, allUsersAscendingSortedEarnings) {

    return ( [...allUsersAscendingSortedEarnings].reverse().indexOf(userEarnings) + 1 );

}

function nearestCompetitorTotalAndGapTuple(userEarnings, allUsersAscendingSortedEarnings) {

    const hasCompetitors = ( allUsersAscendingSortedEarnings.length > 1 );
    if(!hasCompetitors) { return [userEarnings, 0]; }

    const userEarningsIndex = allUsersAscendingSortedEarnings.indexOf(userEarnings);

    const isLeader = ( userEarningsIndex === allUsersAscendingSortedEarnings.length - 1 );

    const tiedEarningsErrorFactor = 0.01;

    let nearestCompetitorEarnings;
    if(isLeader) {
        nearestCompetitorEarnings = [...allUsersAscendingSortedEarnings].reverse().find(earnings => {
            return earnings < ( userEarnings - tiedEarningsErrorFactor );
        });
    }
    else {
        nearestCompetitorEarnings = allUsersAscendingSortedEarnings.find(earnings => {
            return earnings > ( userEarnings + tiedEarningsErrorFactor );
        });
    }

    const nearestCompetitorGap = nearestCompetitorEarnings - userEarnings;

    return [nearestCompetitorEarnings, nearestCompetitorGap];
}

function displayRank(rank, numberOfPositions) {

    const relativeThresholdAtWhichToDisplayTopPercentile = 0.5;

    const topPercentileZeroToOne = ( 1 - ( (numberOfPositions - rank) / numberOfPositions ) );

    const formattedTopPercentile = topPercentileZeroToOne.toLocaleString("en-US", {style: "percent"});

    document.getElementById("rank").innerHTML = `# <strong>${rank}</strong> / ${numberOfPositions} ${topPercentileZeroToOne <= relativeThresholdAtWhichToDisplayTopPercentile ? `( Top <strong>${formattedTopPercentile}</strong> )` : ""}`;
}

function displayNearestCompetitorInfo(nearestCompetitorTotalAndGapTuple) {

    const [nearestCompetitorTotal, nearestCompetitorGap] = nearestCompetitorTotalAndGapTuple;

    const sign = ( nearestCompetitorGap >= 0 ? "+" : "-" );
    const color = ( sign === "+" ? "green" : "red" );
    const absoluteGap = Math.abs(nearestCompetitorGap);

    const [nearestCompetitorTotalFormatted, absoluteGapFormatted] = [nearestCompetitorTotal, absoluteGap].map(val => val.toLocaleString("en-US", {style: "currency", currency: "USD"}));

    document.getElementById("nearestCompetitor").innerHTML = `${nearestCompetitorTotalFormatted} ( <span style="color: ${color};">${sign} ${absoluteGapFormatted}</span> )`;

}

function leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings) {
    const descendingEarnings = [...allUsersAscendingSortedEarnings].reverse();

    return descendingEarnings.map((earnings, index) => {
        return (`
            <option>[#${index+1}]: ${earnings.toLocaleString("en-US", {style: "currency", currency: "USD"})}</option>
        `);
    }).join("");
}

function displayLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function displayLeagueLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leagueLeaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function localAllTimeBest(usdAmountToSetTo) {
    if(exists(usdAmountToSetTo)) {
        localStorage.setItem("sojmLocalAllTimeBest", usdAmountToSetTo);
    }
    return +(localStorage.getItem("sojmLocalAllTimeBest") || "0");
}

function updateLocalAllTimeBestIfAppropriateTo(usdAmountToSetTo) {
    if(usdAmountToSetTo > localAllTimeBest()) {
        return localAllTimeBest(usdAmountToSetTo);
    }
    else {
        return localAllTimeBest();
    }
}

function getLocalDailyHighs() {
    return JSON.parse(localStorage.getItem("sojmLocalDailyHighs") || "{}");
}

function includeInLocalDailyHigh(amount, dateYYYYMMDD) {
    const highs = getLocalDailyHighs();
    highs[dateYYYYMMDD] = amount;
    localStorage.setItem("sojmLocalDailyHighs", JSON.stringify(highs));
}

function getHistoricalLocalDailyHighAverage() {

    const highsExceptToday = getLocalDailyHighs();
    delete highsExceptToday[amazonDateYYYYMMDD()];

    const datesTracked = Object.keys(highsExceptToday);
    const numberOfDatesTracked = datesTracked.length;

    const totalAmountTracked = datesTracked.reduce((acc, dateTracked) => {
        return (acc + highsExceptToday[dateTracked]);
    }, 0);

    return ( totalAmountTracked / numberOfDatesTracked );

}

function displayLocalBest() {
    document.getElementById("localBest").innerHTML = `<span style="color: gray;">${(localAllTimeBest() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function displayLocalAverage() {
    document.getElementById("localAverage").innerHTML = `<span style="color: gray;">${(getHistoricalLocalDailyHighAverage() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function gaps(sortedAscendingEarnings) {
    const ascendingSortedGaps = sortedAscendingEarnings.reduce((acc, num) => {
        return { prevNumber: num, gaps: [ ...acc.gaps, num - acc.prevNumber ] }
    }, { prevNumber: 0, gaps: [] }).gaps.sort((a, b) => (a-b));

    return ascendingSortedGaps;
}

function averageGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    const numberOfGaps = gapsFromSortedValues.length;
    const sumOfGaps = gapsFromSortedValues.reduce((acc, gap) => {
        return ( acc + gap );
    }, 0);
    return ( sumOfGaps / numberOfGaps );
}

function medianGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    return medianOfSortedValues(gapsFromSortedValues);
}

function indicesOfInflectionPoints(sortedAscendingEarnings) {

    const avgGap = averageGap(sortedAscendingEarnings);

    const inflectionPointIndices = [];

    for(let i = 0; i < sortedAscendingEarnings.length - 1; i++) {

        const earningsAtI = sortedAscendingEarnings[i];
        const earningsAboveI = sortedAscendingEarnings[i + 1];
        const gap = earningsAboveI - earningsAtI;

        if(gap >= avgGap) {
            inflectionPointIndices.push(i + 1);
        }

    }

    return inflectionPointIndices;
}

function hasInflectionPoints(ascendingSortedValues) {
    return ( indicesOfInflectionPoints(ascendingSortedValues).length > 0 );
}

function splitAtFirstInflectionPoint(ascendingSortedValues) {
    const firstInflectionPointIndex = indicesOfInflectionPoints(ascendingSortedValues)[0];
    return [
        ascendingSortedValues.slice(0, firstInflectionPointIndex),
        ascendingSortedValues.slice(firstInflectionPointIndex)
    ];
}

function splitIntoLeagues(ascendingSortedValues, maximumLeagueCount) {
    if(!hasInflectionPoints(ascendingSortedValues) || maximumLeagueCount === 1) {
        return [ascendingSortedValues];
    }
    else {
        const [lowerLeague, upperLeague] = splitAtFirstInflectionPoint(ascendingSortedValues);
        return [lowerLeague, ...splitIntoLeagues(upperLeague, (exists(maximumLeagueCount) ? maximumLeagueCount - 1 : null))];
    }
}

function findLeagueAndRankIndex(earnings, leagues) {
    for(let leagueIndex = 0; leagueIndex < leagues.length; leagueIndex++) {
        const league = leagues[leagueIndex];
        for(let rankIndex = 0; rankIndex < league.length; rankIndex++) {
            const earningsAtRank = league[rankIndex];
            if(earnings === earningsAtRank) {
                return {
                    leagueIndex,
                    rankIndex
                };
            }
        }
    }

    return undefined;
}

function leagueIndexToTitle(leagueIndex, numberOfLeagues) {

    const maximumNumberOfLeagues = 5;
    const offset = maximumNumberOfLeagues - numberOfLeagues;
    const adjustedLeagueIndex = leagueIndex + offset;

    return ([
        "Bronze",
        "Silver",
        "Gold",
        "Platinum",
        "Diamond"
    ])[adjustedLeagueIndex];
}

function leagueTitleToCSSColor(leagueTitle) {
    return ({
        "Bronze": "brown",
        "Silver": "gray",
        "Gold": "orange",
        "Platinum": "silver",
        "Diamond": "aqua"
    })[leagueTitle];
}

function displayLeagueRank(leagueTitle, leaguePosition, leagueSize) {
    document.getElementById("leagueRank").innerHTML = `<span style="font-weight: 700; color: ${leagueTitleToCSSColor(leagueTitle)};">${leagueTitle}</span>: ( # <strong>${leaguePosition}</strong> / ${leagueSize} )`;
}

function displayNormalRangeVsYou(firstQuartile, thirdQuartile, total) {

    const generateUserTotalHTML = (lowMedHigh) => `<span style="background: black; color: ${lowMedHigh === "low" ? ("rgb(255, 150, 150)") : ( lowMedHigh === "med" ? "rgb(150, 255, 150)" : "rgb(150, 150, 255)" )}">${total.toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
    const generateNormalBoundHTML = (value) => `<span style="color: white; background: rgb(127,127,127);">${value}</span>`;

    const isBelowNormal = ( total < +firstQuartile.replace("$", "") );
    const isAboveNormal = ( total > +thirdQuartile.replace("$", "") );
    const isWithinNormal = !isBelowNormal && !isAboveNormal;

    let normalRangeHTML = ``;

    if(isBelowNormal) {
        normalRangeHTML += `${generateUserTotalHTML("low")} - `;
    }

    normalRangeHTML += `${generateNormalBoundHTML(firstQuartile)} -`;

    if(isWithinNormal) {
        normalRangeHTML += ` ${generateUserTotalHTML("med")} -`;
    }

    normalRangeHTML += ` ${generateNormalBoundHTML(thirdQuartile)}`;

    if(isAboveNormal) {
        normalRangeHTML += ` - ${generateUserTotalHTML("high")}`;
    }

    document.getElementById("normalRange").innerHTML = normalRangeHTML;
}

async function main() {

    injectAveragePERow();

    document.getElementById("retrieveCommunityAverage").addEventListener("click", async e => {

        const earningsApiResponse = await submitUserEarnings();

        if(exists(earningsApiResponse.averageEarningsForToday)) {

            const sortedIndividualEarnings = [...earningsApiResponse.individualEarningsForToday].sort((a,b) => a-b);

            const lowestIndividualEarnings = sortedIndividualEarnings[0].toLocaleString("en-US", {style: "currency", currency: "USD"});
            const medianIndividualEarnings = medianOfSortedValues(sortedIndividualEarnings).toLocaleString("en-US", {style: "currency", currency: "USD"});
            const highestIndividualEarnings = sortedIndividualEarnings[sortedIndividualEarnings.length-1].toLocaleString("en-US", {style: "currency", currency: "USD"});

            const [firstQuartile, thirdQuartile] = sidesOfMedian(sortedIndividualEarnings).map(side => medianOfSortedValues(side).toLocaleString("en-US", {style: "currency", currency: "USD"}));

            embedBoxAndWhiskerData({low: lowestIndividualEarnings,
                                    high: highestIndividualEarnings,
                                    median: medianIndividualEarnings,
                                    firstQuartile,
                                    thirdQuartile});

            document.getElementById("tcLowMedHigh").innerHTML = `
                <span style='color: red;'>${lowestIndividualEarnings}</span>,
                <span style='color: orange;'>${medianIndividualEarnings}</span>,
                <span style='color: green;'>${highestIndividualEarnings}</span>`;

            e.target.innerText = earningsApiResponse.averageEarningsForToday.toLocaleString("en-US", {style: "currency", currency: "USD"});

            const total = ( todaysTotal() || todaysTotalMTS() );

            displayNormalRangeVsYou( firstQuartile, thirdQuartile, total );

            displayRank( rank(total, sortedIndividualEarnings), sortedIndividualEarnings.length );
            displayNearestCompetitorInfo( nearestCompetitorTotalAndGapTuple(total, sortedIndividualEarnings) );
            displayLeaderboard( sortedIndividualEarnings );

            includeInLocalDailyHigh( total, amazonDateYYYYMMDD() );
            updateLocalAllTimeBestIfAppropriateTo( total );

            displayLocalBest();
            displayLocalAverage();

            const maxNumberOfLeagues = 5;

            const leagues = splitIntoLeagues( sortedIndividualEarnings, maxNumberOfLeagues );
            const numberOfLeagues = leagues.length;
            const { leagueIndex, rankIndex } = findLeagueAndRankIndex( total, leagues );
            const league = leagues[leagueIndex];
            const leagueSize = league.length;
            const leaguePosition = leagueSize - rankIndex;
            const leagueTitle = leagueIndexToTitle(leagueIndex, numberOfLeagues );

            displayLeagueRank(leagueTitle, leaguePosition, leagueSize);
            displayLeagueLeaderboard( league );

        }
        else if(["Your request is missing fields: total", "Your report is outdated"].includes(earningsApiResponse.errorMessage)) {
            e.target.innerText = "Work before comparing!";
        }
        else {
            e.target.innerText = earningsApiResponse.errorMessage;
        }

    });
}

main();
So, what you're saying is, it's a pissing contest. Well, remember what they say about ''upwind''.......the more I think about this, the more hilarious it is. You really need a script for that?...people are becoming too dependent on scripts.
 
Last edited:

Jerami

Well-Known Member
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it's a earnings script to compare how big your PE is to others
mTurk Slow or Just Me? ("SOJM")

Code:
// ==UserScript==
// @name         mTurk Slow or Just Me? ("SOJM")
// @namespace    salembeats
// @version      1.67
// @description  UPDATE: Quick HUD added to compare yourself to the "normal" range (the middle 50% of responses, represented by the box in the box/whisker plot). NOTE: Requires Kadauchi's "MTurk Dashboard Enhancer" script to function properly.
// @author       Cuyler Stuwe (salembeats)
// @include      https://worker.mturk.com/dashboard*
// ==/UserScript==

const globals = {
    CLIENT_VERSION: "synchronicity",
    API_BASE: "https://ne26dv9hq6.execute-api.us-west-2.amazonaws.com/dev"
};

// Minified, synchronous SHA-256 transform function copied from: http://geraintluff.github.io/sha256/
var sha256=function a(b){function c(a,b){return a>>>b|a<<32-b}for(var d,e,f=Math.pow,g=f(2,32),h="length",i="",j=[],k=8*b[h],l=a.h=a.h||[],m=a.k=a.k||[],n=m[h],o={},p=2;64>n;p++)if(!o[p]){for(d=0;313>d;d+=p)o[d]=p;l[n]=f(p,.5)*g|0,m[n++]=f(p,1/3)*g|0}for(b+="\x80";b[h]%64-56;)b+="\x00";for(d=0;d<b[h];d++){if(e=b.charCodeAt(d),e>>8)return;j[d>>2]|=e<<(3-d)%4*8}for(j[j[h]]=k/g|0,j[j[h]]=k,e=0;e<j[h];){var q=j.slice(e,e+=16),r=l;for(l=l.slice(0,8),d=0;64>d;d++){var s=q[d-15],t=q[d-2],u=l[0],v=l[4],w=l[7]+(c(v,6)^c(v,11)^c(v,25))+(v&l[5]^~v&l[6])+m[d]+(q[d]=16>d?q[d]:q[d-16]+(c(s,7)^c(s,18)^s>>>3)+q[d-7]+(c(t,17)^c(t,19)^t>>>10)|0),x=(c(u,2)^c(u,13)^c(u,22))+(u&l[1]^u&l[2]^l[1]&l[2]);l=[w+x|0].concat(l),l[4]=l[4]+w|0}for(d=0;8>d;d++)l[d]=l[d]+r[d]|0}for(d=0;8>d;d++)for(e=3;e+1;e--){var y=l[d]>>8*e&255;i+=(16>y?0:"")+y.toString(16)}return i};

function exists(thing) {
    return thing !== undefined && thing !== null;
}

function amazonDate() {
    return new Date(Date.now() + (new Date().getTimezoneOffset()*60*1000) - (420*60*1000));
}

function medianOfSortedValues(sortedValuesArray) {

    const middlePosition = Math.floor(sortedValuesArray.length/2);

    if(sortedValuesArray.length % 2) {
        return sortedValuesArray[middlePosition];
    }
    else {
        return (sortedValuesArray[middlePosition-1] + sortedValuesArray[middlePosition]) / 2.0;
    }

}

function sidesOfMedian(sortedValuesArray) {

    const hasEvenNumberOfItems = ( sortedValuesArray.length % 2 === 0 );

    if(hasEvenNumberOfItems) {
        return [
            sortedValuesArray.slice(0, (sortedValuesArray.length / 2)),
            sortedValuesArray.slice((sortedValuesArray.length / 2), sortedValuesArray.length)
        ];
    }
    else {
        const indexToSplitOn = ((sortedValuesArray.length + 1) / 2) - 1;

        return [
            sortedValuesArray.slice(0, indexToSplitOn),
            sortedValuesArray.slice(indexToSplitOn + 1, sortedValuesArray.length)
        ];
    }
}


function hitLogTotalUsd() {

    const hitLog = JSON.parse(localStorage.getItem("WMTD_hitLog"));

    return Object.keys(hitLog).reduce((acc, currentHitLogKey) => {

        return (acc + hitLog[currentHitLogKey].reward.amount_in_dollars);

    }, 0);

}

function dateYYYYMMDD(date) {

    const now = date;
    const [year, month, day] = [now.getFullYear(), now.getMonth() + 1, now.getDate()].map(num => num.toLocaleString("en-US", {minimumIntegerDigits: 2, useGrouping: false}));
    const todaysDateStr = `${year}-${month}-${day}`;
    return todaysDateStr;

}

function todaysDateYYYYMMDD() {
    return dateYYYYMMDD(new Date());
}

function amazonDateYYYYMMDD() {
    return dateYYYYMMDD(amazonDate());
}

function lastWorkLoggedDateYYYYMMDD() {
    return localStorage.getItem("WMTD_date");
}

function todaysTotal() {

    const lastRecordedDate = lastWorkLoggedDateYYYYMMDD();

    if(lastRecordedDate === amazonDateYYYYMMDD()) {

        return hitLogTotalUsd();

    }
    else {

        return null;

    }

}

function todaysTotalMTS() {
  const mtsProjectedEarnings = document.getElementById('mts-ht-earnings').textContent;
  return Number(mtsProjectedEarnings.replace(/[^0-9.]/g, ''));
}

function workerId() {

    const workerIdCopyElement = document.querySelector(`[data-react-class="require('reactComponents/common/CopyText')['default']"]`);
    return JSON.parse(workerIdCopyElement.dataset.reactProps).textToCopy;

}

function workerIdHash() {

    return sha256(workerId());

}

function userEarningsPayload() {

    const payload = JSON.stringify({
        idHash: workerIdHash(),
        date: lastWorkLoggedDateYYYYMMDD(),
        total: todaysTotal() || todaysTotalMTS(),
        clientVersion: globals.CLIENT_VERSION
    });

    return payload;

}

async function submitUserEarnings() {

    const apiEndpoint = `${globals.API_BASE}/store`;

    const responseStream = await fetch(apiEndpoint, {
        method: "POST",
        body: userEarningsPayload(),
        headers: {
            "Content-Type": "application/json"
        }
    });

    const response = await responseStream.json();
    return response;

}

function injectAveragePERow() {
    const el = document.getElementById("TodaysActivityAdditionalInfo") || document.getElementById('dashboard-available-earnings').querySelector('.border-gray-lightest').children[0];

    el.insertAdjacentHTML("beforebegin", `
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Today's Community Average</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <a id="retrieveCommunityAverage" href="javascript:void(0);">Retrieve Community Average</a>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Low, Med, High</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="tcLowMedHigh">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong><span style="color: white; background: rgb(127,127,127);">Normal Range</span> vs. <span style="background: black; color: white;">You</span></strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="normalRange">&nbsp;</div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Box+Whisker Plot</strong>
            </div>
            <div style="text-align: center;">
                <img id="boxplotImage" style="max-width: 270px;" src="">
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="rank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>Nearest Competitor</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="nearestCompetitor"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>TC Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Rank</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="leagueRank"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>League Leaderboard</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <select id="leagueLeaderboard"></select>
            </div>
        </div>
        <hr/>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Best</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localBest"></div>
            </div>
        </div>
        <div class="row m-b-sm">
            <div class="col-xs-7 col-sm-6 col-lg-7">
                <strong>This Computer's Past Avg</strong>
            </div>
            <div class="col-xs-5 col-sm-6 col-lg-5 text-xs-right">
                <div id="localAverage"></div>
            </div>
        </div>
    `);
}

function boxplotRenderUrl(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined
}) {
    return (`http://www.imathas.com/stattools/boxplot.php?n=1&showlabels=0&title0=&ds0q0=${params.low.replace("$", "")}&ds0q1=${params.firstQuartile.replace("$", "")}&ds0q2=${params.median.replace("$", "")}&ds0q3=${params.thirdQuartile.replace("$", "")}&ds0q4=${params.high.replace("$", "")}&title1=&ds1q0=&ds1q1=&ds1q2=&ds1q3=&ds1q4=&title2=&ds2q0=&ds2q1=&ds2q2=&ds2q3=&ds2q4=&xmin=0&xmax=${Math.floor((+params.high.replace("$", "")) + 5)}&ticks=5&axistitle=&imgwidth=300&imgheight=120`);
}

function embedBoxAndWhiskerData(params = {
    low: undefined,
    high: undefined,
    median: undefined,
    firstQuartile: undefined,
    thirdQuartile: undefined}) {
    document.getElementById("tcLowMedHigh").dataset.boxAndWhiskerPoints = JSON.stringify(params);
    document.getElementById("boxplotImage").setAttribute("src", boxplotRenderUrl(params));
}

function rank(userEarnings, allUsersAscendingSortedEarnings) {

    return ( [...allUsersAscendingSortedEarnings].reverse().indexOf(userEarnings) + 1 );

}

function nearestCompetitorTotalAndGapTuple(userEarnings, allUsersAscendingSortedEarnings) {

    const hasCompetitors = ( allUsersAscendingSortedEarnings.length > 1 );
    if(!hasCompetitors) { return [userEarnings, 0]; }

    const userEarningsIndex = allUsersAscendingSortedEarnings.indexOf(userEarnings);

    const isLeader = ( userEarningsIndex === allUsersAscendingSortedEarnings.length - 1 );

    const tiedEarningsErrorFactor = 0.01;

    let nearestCompetitorEarnings;
    if(isLeader) {
        nearestCompetitorEarnings = [...allUsersAscendingSortedEarnings].reverse().find(earnings => {
            return earnings < ( userEarnings - tiedEarningsErrorFactor );
        });
    }
    else {
        nearestCompetitorEarnings = allUsersAscendingSortedEarnings.find(earnings => {
            return earnings > ( userEarnings + tiedEarningsErrorFactor );
        });
    }

    const nearestCompetitorGap = nearestCompetitorEarnings - userEarnings;

    return [nearestCompetitorEarnings, nearestCompetitorGap];
}

function displayRank(rank, numberOfPositions) {

    const relativeThresholdAtWhichToDisplayTopPercentile = 0.5;

    const topPercentileZeroToOne = ( 1 - ( (numberOfPositions - rank) / numberOfPositions ) );

    const formattedTopPercentile = topPercentileZeroToOne.toLocaleString("en-US", {style: "percent"});

    document.getElementById("rank").innerHTML = `# <strong>${rank}</strong> / ${numberOfPositions} ${topPercentileZeroToOne <= relativeThresholdAtWhichToDisplayTopPercentile ? `( Top <strong>${formattedTopPercentile}</strong> )` : ""}`;
}

function displayNearestCompetitorInfo(nearestCompetitorTotalAndGapTuple) {

    const [nearestCompetitorTotal, nearestCompetitorGap] = nearestCompetitorTotalAndGapTuple;

    const sign = ( nearestCompetitorGap >= 0 ? "+" : "-" );
    const color = ( sign === "+" ? "green" : "red" );
    const absoluteGap = Math.abs(nearestCompetitorGap);

    const [nearestCompetitorTotalFormatted, absoluteGapFormatted] = [nearestCompetitorTotal, absoluteGap].map(val => val.toLocaleString("en-US", {style: "currency", currency: "USD"}));

    document.getElementById("nearestCompetitor").innerHTML = `${nearestCompetitorTotalFormatted} ( <span style="color: ${color};">${sign} ${absoluteGapFormatted}</span> )`;

}

function leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings) {
    const descendingEarnings = [...allUsersAscendingSortedEarnings].reverse();

    return descendingEarnings.map((earnings, index) => {
        return (`
            <option>[#${index+1}]: ${earnings.toLocaleString("en-US", {style: "currency", currency: "USD"})}</option>
        `);
    }).join("");
}

function displayLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function displayLeagueLeaderboard(allUsersAscendingSortedEarnings) {
    document.getElementById("leagueLeaderboard").innerHTML = leaderboardOptionElementsFrom(allUsersAscendingSortedEarnings);
}

function localAllTimeBest(usdAmountToSetTo) {
    if(exists(usdAmountToSetTo)) {
        localStorage.setItem("sojmLocalAllTimeBest", usdAmountToSetTo);
    }
    return +(localStorage.getItem("sojmLocalAllTimeBest") || "0");
}

function updateLocalAllTimeBestIfAppropriateTo(usdAmountToSetTo) {
    if(usdAmountToSetTo > localAllTimeBest()) {
        return localAllTimeBest(usdAmountToSetTo);
    }
    else {
        return localAllTimeBest();
    }
}

function getLocalDailyHighs() {
    return JSON.parse(localStorage.getItem("sojmLocalDailyHighs") || "{}");
}

function includeInLocalDailyHigh(amount, dateYYYYMMDD) {
    const highs = getLocalDailyHighs();
    highs[dateYYYYMMDD] = amount;
    localStorage.setItem("sojmLocalDailyHighs", JSON.stringify(highs));
}

function getHistoricalLocalDailyHighAverage() {

    const highsExceptToday = getLocalDailyHighs();
    delete highsExceptToday[amazonDateYYYYMMDD()];

    const datesTracked = Object.keys(highsExceptToday);
    const numberOfDatesTracked = datesTracked.length;

    const totalAmountTracked = datesTracked.reduce((acc, dateTracked) => {
        return (acc + highsExceptToday[dateTracked]);
    }, 0);

    return ( totalAmountTracked / numberOfDatesTracked );

}

function displayLocalBest() {
    document.getElementById("localBest").innerHTML = `<span style="color: gray;">${(localAllTimeBest() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function displayLocalAverage() {
    document.getElementById("localAverage").innerHTML = `<span style="color: gray;">${(getHistoricalLocalDailyHighAverage() || 0).toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
}

function gaps(sortedAscendingEarnings) {
    const ascendingSortedGaps = sortedAscendingEarnings.reduce((acc, num) => {
        return { prevNumber: num, gaps: [ ...acc.gaps, num - acc.prevNumber ] }
    }, { prevNumber: 0, gaps: [] }).gaps.sort((a, b) => (a-b));

    return ascendingSortedGaps;
}

function averageGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    const numberOfGaps = gapsFromSortedValues.length;
    const sumOfGaps = gapsFromSortedValues.reduce((acc, gap) => {
        return ( acc + gap );
    }, 0);
    return ( sumOfGaps / numberOfGaps );
}

function medianGap(ascendingSortedValues) {
    const gapsFromSortedValues = gaps(ascendingSortedValues);
    return medianOfSortedValues(gapsFromSortedValues);
}

function indicesOfInflectionPoints(sortedAscendingEarnings) {

    const avgGap = averageGap(sortedAscendingEarnings);

    const inflectionPointIndices = [];

    for(let i = 0; i < sortedAscendingEarnings.length - 1; i++) {

        const earningsAtI = sortedAscendingEarnings[i];
        const earningsAboveI = sortedAscendingEarnings[i + 1];
        const gap = earningsAboveI - earningsAtI;

        if(gap >= avgGap) {
            inflectionPointIndices.push(i + 1);
        }

    }

    return inflectionPointIndices;
}

function hasInflectionPoints(ascendingSortedValues) {
    return ( indicesOfInflectionPoints(ascendingSortedValues).length > 0 );
}

function splitAtFirstInflectionPoint(ascendingSortedValues) {
    const firstInflectionPointIndex = indicesOfInflectionPoints(ascendingSortedValues)[0];
    return [
        ascendingSortedValues.slice(0, firstInflectionPointIndex),
        ascendingSortedValues.slice(firstInflectionPointIndex)
    ];
}

function splitIntoLeagues(ascendingSortedValues, maximumLeagueCount) {
    if(!hasInflectionPoints(ascendingSortedValues) || maximumLeagueCount === 1) {
        return [ascendingSortedValues];
    }
    else {
        const [lowerLeague, upperLeague] = splitAtFirstInflectionPoint(ascendingSortedValues);
        return [lowerLeague, ...splitIntoLeagues(upperLeague, (exists(maximumLeagueCount) ? maximumLeagueCount - 1 : null))];
    }
}

function findLeagueAndRankIndex(earnings, leagues) {
    for(let leagueIndex = 0; leagueIndex < leagues.length; leagueIndex++) {
        const league = leagues[leagueIndex];
        for(let rankIndex = 0; rankIndex < league.length; rankIndex++) {
            const earningsAtRank = league[rankIndex];
            if(earnings === earningsAtRank) {
                return {
                    leagueIndex,
                    rankIndex
                };
            }
        }
    }

    return undefined;
}

function leagueIndexToTitle(leagueIndex, numberOfLeagues) {

    const maximumNumberOfLeagues = 5;
    const offset = maximumNumberOfLeagues - numberOfLeagues;
    const adjustedLeagueIndex = leagueIndex + offset;

    return ([
        "Bronze",
        "Silver",
        "Gold",
        "Platinum",
        "Diamond"
    ])[adjustedLeagueIndex];
}

function leagueTitleToCSSColor(leagueTitle) {
    return ({
        "Bronze": "brown",
        "Silver": "gray",
        "Gold": "orange",
        "Platinum": "silver",
        "Diamond": "aqua"
    })[leagueTitle];
}

function displayLeagueRank(leagueTitle, leaguePosition, leagueSize) {
    document.getElementById("leagueRank").innerHTML = `<span style="font-weight: 700; color: ${leagueTitleToCSSColor(leagueTitle)};">${leagueTitle}</span>: ( # <strong>${leaguePosition}</strong> / ${leagueSize} )`;
}

function displayNormalRangeVsYou(firstQuartile, thirdQuartile, total) {

    const generateUserTotalHTML = (lowMedHigh) => `<span style="background: black; color: ${lowMedHigh === "low" ? ("rgb(255, 150, 150)") : ( lowMedHigh === "med" ? "rgb(150, 255, 150)" : "rgb(150, 150, 255)" )}">${total.toLocaleString("en-US", {style: "currency", currency: "USD"})}</span>`;
    const generateNormalBoundHTML = (value) => `<span style="color: white; background: rgb(127,127,127);">${value}</span>`;

    const isBelowNormal = ( total < +firstQuartile.replace("$", "") );
    const isAboveNormal = ( total > +thirdQuartile.replace("$", "") );
    const isWithinNormal = !isBelowNormal && !isAboveNormal;

    let normalRangeHTML = ``;

    if(isBelowNormal) {
        normalRangeHTML += `${generateUserTotalHTML("low")} - `;
    }

    normalRangeHTML += `${generateNormalBoundHTML(firstQuartile)} -`;

    if(isWithinNormal) {
        normalRangeHTML += ` ${generateUserTotalHTML("med")} -`;
    }

    normalRangeHTML += ` ${generateNormalBoundHTML(thirdQuartile)}`;

    if(isAboveNormal) {
        normalRangeHTML += ` - ${generateUserTotalHTML("high")}`;
    }

    document.getElementById("normalRange").innerHTML = normalRangeHTML;
}

async function main() {

    injectAveragePERow();

    document.getElementById("retrieveCommunityAverage").addEventListener("click", async e => {

        const earningsApiResponse = await submitUserEarnings();

        if(exists(earningsApiResponse.averageEarningsForToday)) {

            const sortedIndividualEarnings = [...earningsApiResponse.individualEarningsForToday].sort((a,b) => a-b);

            const lowestIndividualEarnings = sortedIndividualEarnings[0].toLocaleString("en-US", {style: "currency", currency: "USD"});
            const medianIndividualEarnings = medianOfSortedValues(sortedIndividualEarnings).toLocaleString("en-US", {style: "currency", currency: "USD"});
            const highestIndividualEarnings = sortedIndividualEarnings[sortedIndividualEarnings.length-1].toLocaleString("en-US", {style: "currency", currency: "USD"});

            const [firstQuartile, thirdQuartile] = sidesOfMedian(sortedIndividualEarnings).map(side => medianOfSortedValues(side).toLocaleString("en-US", {style: "currency", currency: "USD"}));

            embedBoxAndWhiskerData({low: lowestIndividualEarnings,
                                    high: highestIndividualEarnings,
                                    median: medianIndividualEarnings,
                                    firstQuartile,
                                    thirdQuartile});

            document.getElementById("tcLowMedHigh").innerHTML = `
                <span style='color: red;'>${lowestIndividualEarnings}</span>,
                <span style='color: orange;'>${medianIndividualEarnings}</span>,
                <span style='color: green;'>${highestIndividualEarnings}</span>`;

            e.target.innerText = earningsApiResponse.averageEarningsForToday.toLocaleString("en-US", {style: "currency", currency: "USD"});

            const total = ( todaysTotal() || todaysTotalMTS() );

            displayNormalRangeVsYou( firstQuartile, thirdQuartile, total );

            displayRank( rank(total, sortedIndividualEarnings), sortedIndividualEarnings.length );
            displayNearestCompetitorInfo( nearestCompetitorTotalAndGapTuple(total, sortedIndividualEarnings) );
            displayLeaderboard( sortedIndividualEarnings );

            includeInLocalDailyHigh( total, amazonDateYYYYMMDD() );
            updateLocalAllTimeBestIfAppropriateTo( total );

            displayLocalBest();
            displayLocalAverage();

            const maxNumberOfLeagues = 5;

            const leagues = splitIntoLeagues( sortedIndividualEarnings, maxNumberOfLeagues );
            const numberOfLeagues = leagues.length;
            const { leagueIndex, rankIndex } = findLeagueAndRankIndex( total, leagues );
            const league = leagues[leagueIndex];
            const leagueSize = league.length;
            const leaguePosition = leagueSize - rankIndex;
            const leagueTitle = leagueIndexToTitle(leagueIndex, numberOfLeagues );

            displayLeagueRank(leagueTitle, leaguePosition, leagueSize);
            displayLeagueLeaderboard( league );

        }
        else if(["Your request is missing fields: total", "Your report is outdated"].includes(earningsApiResponse.errorMessage)) {
            e.target.innerText = "Work before comparing!";
        }
        else {
            e.target.innerText = earningsApiResponse.errorMessage;
        }

    });
}

main();
Oh. Hmph. Don't really have anything to say about that. Not my thing, I guess. But, good for you!:) No matter what your rank, you'll always be number 2 to me!:D
 

Jerami

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Title: Answer a survey about customization | Accept
Requester: Jessica [A2V4A1ZCXSQCC6] Contact
TV: No Reviews
TO: [Pay=5.00] [Fast=5.00] [Comm=0.00] [Fair=5.00] [Reviews=2] [ToS=0]
TO2: [Hrly=8.94] [Pen=null] [Res=null] [Rec=null] [Rej=0] [ToS=0] [Brk=0]
Reward: 1.30
Duration: 10800
Available: 1
Description: We are conducting an academic survey about customization. Select the link below to complete the survey. Please note, there are 2 qualifying questions, if you don't qualify, we will not be able to pay for your time. The survey will take approx 10 minutes.
Qualifications: HIT approval rate (%) GreaterThan 90; Total approved HITs GreaterThan 50; Location EqualTo US
[tr][td]
HIT exported from Mturk Suite v2.3.12
[/td][/tr]
[tr][td][/td][/tr]
 

GTR

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Oh. Hmph. Don't really have anything to say about that. Not my thing, I guess. But, good for you!:) No matter what your rank, you'll always be number 2 to me!:D
I am just messin around with it and joking for the most part, but i could care less who has a big PE and who has a small one :wink:
 

Jerami

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I am just messin around with it and joking for the most part, but i could care less who has a big PE and who has a small one :wink:
I don't have a small PE! Why did you wink? Who said they've seen my PE?! :bolt:
 
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GTR

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I don't have a small PE! Why did you wink? Who said they've seen my PE?! :bolt:
if you use that script everyone will see your PE
 

cassius

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if you use that script everyone will see your PE
There is probably a nefarious reason for that somewhere. Really, who wants everyone to know what their business is. People work here and set their own goals. They don't walk to a whip so to speak.
 

splishsplash

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There is probably a nefarious reason for that somewhere. Really, who wants everyone to know what their business is. People work here and set their own goals. They don't walk to a whip so to speak.
Script is cracking the whipe

Today's Community Average :: Work before comparing!
Well FU, script!

Actually, SOJM could be useful... indeed I want to know what the average is sometimes, too bad it's just users of that script.
 
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