<snapdata remixID="10335833"><project name="Complex Fibonacci Part 2" app="Snap! 10, https://snap.berkeley.edu" version="2"><notes>---Complex function graphing tool---&#xD;-Grapths the output of a complex function (one that has both a complex input and output), where the color is the angle of the output, and the brightness the magnitude&#xD;-Click and drag to move the viewport,  scroll to zoom&#xD;&#xD;&lt;---Best viewed in the editor---&gt;</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Complex Fibonacci Part 2"><notes>---Complex function graphing tool---&#xD;-Grapths the output of a complex function (one that has both a complex input and output), where the color is the angle of the output, and the brightness the magnitude&#xD;-Click and drag to move the viewport,  scroll to zoom&#xD;&#xD;&lt;---Best viewed in the editor---&gt;</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="USE BIGNUMS %&apos;bool&apos;" type="command" category="operators"><comment x="0" y="0" w="303.3333333333333" collapsed="false">call with True to turn on the entire Scheme numeric tower, including infinite-precision integers, exact rationals, and complex numbers; call with False to restore native JavaScript arithmetic.</comment><header></header><code></code><translations>pt:altera utilização de aritmética do Scheme para _&#xD;</translations><inputs><input type="%b"></input></inputs><script><block s="doDeclareVariables"><list><l>isDone</l></list></block><block s="doSetVar"><l>isDone</l><block s="evaluate"><block s="reportJSFunction"><list><l>useBigNums</l></list><l>var done = false;&#xD;&#xD;function initialize (callback) {&#xD;    var bigScript = document.createElement(&apos;script&apos;);&#xD;    bigScript.src = &apos;//snap.berkeley.edu/snap/libraries/biginteger.js&apos;;&#xD;    bigScript.onload = loadScheme;&#xD;    document.head.appendChild(bigScript);&#xD;&#xD;    function loadScheme () {&#xD;        var schemeScript = document.createElement(&apos;script&apos;);&#xD;        schemeScript.src = &apos;//snap.berkeley.edu/snap/libraries/schemeNumber.js&apos;;&#xD;        schemeScript.onload = finish;&#xD;        document.head.appendChild(schemeScript);&#xD;    }&#xD;&#xD;    function finish () {&#xD;        makeGlobalObject();&#xD;        callback();&#xD;    }&#xD;}&#xD;&#xD;function makeGlobalObject () {&#xD;    window.bigNumbers = {&#xD;        originalEvaluate: InputSlotMorph.prototype.evaluate,&#xD;        originalChangeVar: VariableFrame.prototype.changeVar,&#xD;        originalPrims: {&#xD;            reportBasicSum: Process.prototype.reportBasicSum,&#xD;            reportBasicDifference: Process.prototype.reportBasicDifference,&#xD;            reportBasicProduct: Process.prototype.reportBasicProduct,&#xD;            reportBasicQuotient: Process.prototype.reportBasicQuotient,&#xD;            reportBasicPower: Process.prototype.reportBasicPower,&#xD;            reportBasicModulus: Process.prototype.reportBasicModulus,&#xD;            reportBasicRandom: Process.prototype.reportBasicRandom,&#xD;            reportBasicLessThan: Process.prototype.reportBasicLessThan,&#xD;            reportBasicGreaterThan: Process.prototype.reportBasicGreaterThan,&#xD;            reportEquals: Process.prototype.reportEquals,&#xD;            reportIsIdentical: Process.prototype.reportIsIdentical,&#xD;            reportMonadic: Process.prototype.reportMonadic&#xD;        }&#xD;    };&#xD;}&#xD;&#xD;function loadBlocks () {&#xD;    var fn = SchemeNumber.fn;&#xD;    var originalPrims = window.bigNumbers.originalPrims;&#xD;    if (useBigNums) {&#xD;        InputSlotMorph.prototype.evaluate = function () {&#xD;            var contents = this.contents();&#xD;            if (this.constant) {&#xD;                return this.constant;&#xD;            }&#xD;            if (this.isNumeric) {&#xD;                return parseNumber(contents.text || &apos;0&apos;);&#xD;            }&#xD;            return contents.text;&#xD;        };&#xD;        VariableFrame.prototype.changeVar = function (name, delta, sender) {&#xD;            var frame = this.find(name),&#xD;                value,&#xD;                newValue;&#xD;            if (frame) {&#xD;                value = parseNumber(frame.vars[name].value);&#xD;                newValue = Number.isNaN(value) ? delta : fn[&apos;+&apos;](value, parseNumber(delta));&#xD;                if (sender instanceof SpriteMorph &amp;&amp;&#xD;                        (frame.owner instanceof SpriteMorph) &amp;&amp;&#xD;                        (sender !== frame.owner)) {&#xD;                    sender.shadowVar(name, newValue);&#xD;                } else {&#xD;                    frame.vars[name].value = newValue;&#xD;                }&#xD;&#xD;            }&#xD;        };&#xD;        Object.assign(Process.prototype, {&#xD;            reportBasicSum: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;+&apos;](a, b);&#xD;            },&#xD;            reportBasicDifference: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;-&apos;](a, b);&#xD;            },&#xD;            reportBasicProduct: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;*&apos;](a, b);&#xD;            },&#xD;            reportBasicQuotient: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (fn[&apos;=&apos;](b, &apos;0&apos;) &amp;&amp; !fn[&apos;=&apos;](a, &apos;0&apos;)) {&#xD;                      return (fn[&apos;&lt;&apos;](a, &apos;0&apos;) ? SchemeNumber(&apos;-inf.0&apos;) : SchemeNumber(&apos;+inf.0&apos;))&#xD;                };&#xD;                if (Number.isNaN(a) || Number.isNaN(b) || fn[&apos;=&apos;](b, &apos;0&apos;)) return NaN;&#xD;                return fn[&apos;/&apos;](a, b);&#xD;            },&#xD;            reportBasicPower: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;expt&apos;](a, b);&#xD;            },&#xD;            reportBasicModulus: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                var result = fn.mod(a, b);&#xD;                if (fn[&apos;&lt;&apos;](b, &apos;0&apos;) &amp;&amp; fn[&apos;&gt;&apos;](result, &apos;0&apos;)) {&#xD;                    result = fn[&apos;+&apos;](result, b);&#xD;                }&#xD;                return result;&#xD;            },&#xD;            reportBasicRandom: function (min, max) {&#xD;                var floor = parseNumber(min),&#xD;                    ceil = parseNumber(max);&#xD;                if (Number.isNaN(floor) || Number.isNaN(ceil)) return NaN;&#xD;                if (!fn[&apos;=&apos;](fn.mod(floor, &apos;1&apos;), &apos;0&apos;) || !fn[&apos;=&apos;](fn.mod(ceil, &apos;1&apos;), &apos;0&apos;)) {&#xD;                    // One of the numbers isn&apos;t whole. Include the decimal.&#xD;                    return fn[&apos;+&apos;](&#xD;                        fn[&apos;*&apos;](&#xD;                            Math.random(),&#xD;                            fn[&apos;-&apos;](ceil, floor)&#xD;                        ),&#xD;                        floor&#xD;                    );&#xD;                }&#xD;                return fn.floor(&#xD;                    fn[&apos;+&apos;](&#xD;                        fn[&apos;*&apos;](&#xD;                            Math.random(),&#xD;                            fn[&apos;+&apos;](&#xD;                                fn[&apos;-&apos;](ceil, floor),&#xD;                                &apos;1&apos;&#xD;                            )&#xD;                        ),&#xD;                        floor&#xD;                    )&#xD;                );&#xD;            },&#xD;            reportBasicLessThan: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;&lt;&apos;](a, b);&#xD;            },&#xD;            reportBasicGreaterThan: function (a, b) {&#xD;                a = parseNumber(a);&#xD;                b = parseNumber(b);&#xD;                if (Number.isNaN(a) || Number.isNaN(b)) return NaN;&#xD;                return fn[&apos;&gt;&apos;](a, b);&#xD;            },&#xD;            reportEqual: function (a, b) {&#xD;                x = parseNumber(a);&#xD;                y = parseNumber(b);&#xD;                if (Number.isNaN(x) || Number.isNaN(y)) return snapEquals(a, b);&#xD;                return fn[&apos;=&apos;](x, y);&#xD;            },&#xD;            reportIsIdentical: function (a, b) {&#xD;                x = parseNumber(a);&#xD;                y = parseNumber(b);&#xD;                if (Number.isNaN(x) || Number.isNaN(y)) return originalPrims.reportIsIdentical(a, b);&#xD;                return fn[&apos;=&apos;](x, y);&#xD;            },&#xD;            reportMonadic: function (fname, n) {&#xD;                if (this.enableHyperOps) {&#xD;                    if (n instanceof List) {&#xD;                        return n.map(each =&gt; this.reportMonadic(fname, each));&#xD;                    }&#xD;                }&#xD;&#xD;                n = parseNumber(n);&#xD;                if (Number.isNaN(n)) return NaN;&#xD;&#xD;                switch (Process.prototype.inputOption(fname)) {&#xD;                case &apos;abs&apos;:&#xD;                    return fn.abs(n);&#xD;                case &apos;neg&apos;:&#xD;                    return fn[&apos;-&apos;](n);&#xD;                case &apos;ceiling&apos;:&#xD;                    return fn.ceiling(n);&#xD;                case &apos;floor&apos;:&#xD;                    return fn.floor(n);&#xD;                case &apos;sqrt&apos;:&#xD;                    return sqrt(n);&#xD;                case &apos;sin&apos;:&#xD;                    return fn.sin(radians(n));&#xD;                case &apos;cos&apos;:&#xD;                    return fn.cos(radians(n));&#xD;                case &apos;tan&apos;:&#xD;                    return fn.tan(radians(n));&#xD;                case &apos;asin&apos;:&#xD;                    return degrees(fn.asin(n));&#xD;                case &apos;acos&apos;:&#xD;                    return degrees(fn.acos(n));&#xD;                case &apos;atan&apos;:&#xD;                    return degrees(fn.atan(n));&#xD;                case &apos;ln&apos;:&#xD;                    return fn.log(n);&#xD;                case &apos;log&apos;:&#xD;                    return fn.log(n, &apos;10&apos;);&#xD;                case &apos;lg&apos;:&#xD;                    return fn.log(n, &apos;2&apos;);&#xD;                case &apos;e^&apos;:&#xD;                    return fn.exp(n);&#xD;                case &apos;10^&apos;:&#xD;                    return fn.expt(&apos;10&apos;, n);&#xD;                case &apos;2^&apos;:&#xD;                    return fn.expt(&apos;2&apos;, n);&#xD;                default:&#xD;                    return SchemeNumber(&apos;0&apos;);&#xD;                }&#xD;            }&#xD;        });&#xD;    } else {&#xD;        InputSlotMorph.prototype.evaluate = window.bigNumbers.originalEvaluate;&#xD;        VariableFrame.prototype.changeVar = window.bigNumbers.originalChangeVar;&#xD;        Object.assign(Process.prototype, originalPrims);&#xD;    }&#xD;    done = true;&#xD;}&#xD;&#xD;function parseNumber (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;    if (!fn[&apos;number?&apos;](n)) {&#xD;        n = &apos;&apos; + n;&#xD;        try {&#xD;            return parseENotation(n) || SchemeNumber(n);&#xD;        } catch (err) {&#xD;            return NaN;&#xD;        }&#xD;    }&#xD;    return n;&#xD;}&#xD;&#xD;function parseENotation (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    var numbers = n.match(/^(-?\d+\.?\d*|-?\.\d+)e(-?\d+)$/i);&#xD;    if (!numbers) return null;&#xD;&#xD;    var coefficient = numbers[1];&#xD;    var exponent = numbers[2];&#xD;    return fn[&apos;*&apos;](&#xD;        coefficient,&#xD;        fn.expt(&apos;10&apos;, exponent)&#xD;    );&#xD;}&#xD;&#xD;function sqrt (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    if (!fn[&apos;exact?&apos;](n) || !fn[&apos;rational?&apos;](n) || fn[&apos;&lt;&apos;](n,&apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    var rootNumerator = fn[&apos;exact-integer-sqrt&apos;](fn.numerator(n));&#xD;    if (!fn[&apos;=&apos;](rootNumerator[1], &apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    var rootDenominator = fn[&apos;exact-integer-sqrt&apos;](fn.denominator(n));&#xD;    if (!fn[&apos;=&apos;](rootDenominator[1], &apos;0&apos;)) return fn.sqrt(n);&#xD;&#xD;    return fn[&apos;/&apos;](rootNumerator[0], rootDenominator[0]);&#xD;}&#xD;&#xD;function isDone () {&#xD;    return done;&#xD;}&#xD;&#xD;if (window.bigNumbers) {&#xD;    loadBlocks();&#xD;} else {&#xD;    initialize(loadBlocks);&#xD;}&#xD;&#xD;return isDone;</l></block><list><block var="bool"/></list></block></block><block s="doWaitUntil"><block s="evaluate"><block var="isDone"/><list></list></block></block></script></block-definition><block-definition s="%&apos;n&apos; !" type="reporter" category="operators"><comment x="0" y="0" w="190.66666666666666" collapsed="false">The factorial function, to make very large numbers, to demo bignums.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="n"/><l>0</l></list></block><l>1</l><block s="reportVariadicProduct"><list><block var="n"/><custom-block s="%n !"><block s="reportDifference"><block var="n"/><l>1</l></block></custom-block></list></block></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="operators"><comment x="0" y="0" w="234.66666666666663" collapsed="false">The identity function: reports its input.&#xD;It&apos;s useful to get things like 3/4 or 5-2i into&#xD;numeric input slots.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="Scheme number %&apos;function&apos; of %&apos;number&apos;" type="reporter" category="operators"><comment x="0" y="0" w="300" collapsed="true">Provides Scheme arithmetic functions not in JavaScript</comment><header></header><code></code><translations>pt:_ de _&#xD;</translations><inputs><input type="%s" readonly="true"><options>number?&#xD;complex?&#xD;real?&#xD;rational?&#xD;integer?&#xD;exact?&#xD;inexact?&#xD;exact&#xD;inexact&#xD;finite?&#xD;infinite?&#xD;nan?&#xD;numerator&#xD;denominator&#xD;real-part&#xD;imag-part&#xD;magnitude&#xD;angle</options></input><input type="%s"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>which</l><l>num</l></list><l>function parseNumber (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;    if (!fn[&apos;number?&apos;](n)) {&#xD;        n = &apos;&apos; + n;&#xD;        try {&#xD;            return parseENotation(n) || SchemeNumber(n);&#xD;        } catch (err) {&#xD;            return NaN;&#xD;        }&#xD;    }&#xD;    return n;&#xD;}&#xD;&#xD;function parseENotation (n) {&#xD;    var fn = SchemeNumber.fn;&#xD;&#xD;    var numbers = n.match(/^(-?\d+\.?\d*|-?\.\d+)e(-?\d+)$/i);&#xD;    if (!numbers) return null;&#xD;&#xD;    var coefficient = numbers[1];&#xD;    var exponent = numbers[2];&#xD;    return fn[&apos;*&apos;](&#xD;        coefficient,&#xD;        fn.expt(&apos;10&apos;, exponent)&#xD;    );&#xD;}&#xD;var fn=SchemeNumber.fn,&#xD;      number=parseNumber(num);&#xD;&#xD;switch (which) {&#xD;  case &apos;number?&apos;:&#xD;  case &apos;complex?&apos;:&#xD;    return (fn[&apos;number?&apos;](number));&#xD;  case &apos;real?&apos;:&#xD;    return (fn[&apos;real?&apos;](number) || fn[&apos;real-valued?&apos;](number));&#xD;  case &apos;rational?&apos;:&#xD;    return (fn[&apos;rational?&apos;](number) || (fn[&apos;=&apos;](number, fn.rationalize(number, parseNumber(&apos;1.0e-5&apos;)))));&#xD;  case &apos;integer?&apos;:&#xD;    return (fn[&apos;integer?&apos;](number) || fn[&apos;integer-valued?&apos;](number));&#xD;  case &apos;exact?&apos;:&#xD;  case &apos;inexact?&apos;:&#xD;  case &apos;finite?&apos;:&#xD;  case &apos;infinite?&apos;:&#xD;  case &apos;nan?&apos;:&#xD;  case &apos;real-part&apos;:&#xD;  case &apos;imag-part&apos;:&#xD;    return (fn[which](number));&#xD;  case &apos;magnitude&apos;:&#xD;    return (fn.magnitude(number));&#xD;  case &apos;angle&apos;:&#xD;    return (fn.angle(number));&#xD;  case &apos;numerator&apos;:&#xD;    return (fn.numerator(number));&#xD;  case &apos;denominator&apos;:&#xD;    return (fn.denominator(number));&#xD;  case &apos;exact&apos;:&#xD;    return (fn.exact(number));&#xD;case &apos;inexact&apos;:&#xD;    return (fn.inexact(number));&#xD;}</l></block><list><block var="function"/><block var="number"/></list></block></block></script></block-definition><block-definition s="round %&apos;part&apos; %&apos;num&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>real&#xD;imag&#xD;re-im</options></input><input type="%n"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>real</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportRound"><custom-block s="Scheme number %s of %s"><l>real-part</l><block var="num"/></custom-block></block><block s="reportVariadicProduct"><list><custom-block s="Scheme number %s of %s"><l>imag-part</l><block var="num"/></custom-block><custom-block s="%s"><l>i</l></custom-block></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>imag</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportRound"><custom-block s="Scheme number %s of %s"><l>imag-part</l><block var="num"/></custom-block></block><custom-block s="%s"><l>i</l></custom-block></list></block><custom-block s="Scheme number %s of %s"><l>real-part</l><block var="num"/></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>re-im</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportRound"><custom-block s="Scheme number %s of %s"><l>imag-part</l><block var="num"/></custom-block></block><custom-block s="%s"><l>i</l></custom-block></list></block><block s="reportRound"><custom-block s="Scheme number %s of %s"><l>real-part</l><block var="num"/></custom-block></block></list></block></block></script><list></list></block></script></block-definition><block-definition s="%&apos;n&apos; fib #" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block s="reportPower"><custom-block s="phi"></custom-block><block var="n"/></block><block s="reportPower"><block s="reportMonadic"><l><option>neg</option></l><custom-block s="phi"></custom-block></block><block s="reportMonadic"><l><option>neg</option></l><block var="n"/></block></block></block><block s="reportMonadic"><l><option>sqrt</option></l><l>5</l></block></block></block></script></block-definition><block-definition s="phi" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicSum"><list><l>1</l><block s="reportMonadic"><l><option>sqrt</option></l><l>5</l></block></list></block><l>2</l></block></block></script></block-definition><block-definition s="e" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l>2.7182818284590452353602874</l></block></script></block-definition><block-definition s="pi" type="reporter" category="variables"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l>3.14159265358979323846</l></block></script></block-definition><block-definition s="for %&apos;i&apos; = %&apos;start&apos; step %&apos;step&apos; to %&apos;end&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="247.33333333333334" collapsed="false">The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger.  This version allows you to provide an explicit step value.  If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.</comment><header></header><code></code><translations>pt:para _ de _ com passo _ a _ _ $loop-0.7&#xD;</translations><inputs><input type="%upvar"></input><input type="%n">1</input><input type="%n">1</input><input type="%n">10</input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>test</l></list></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="step"/><l>0</l></list></block><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script></block><block s="doUntil"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block><block s="doChangeVar"><l>i</l><block var="step"/></block></script></block></script></block-definition><block-definition s="time %&apos;stuff&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>start</l></list></block><block s="doSetVar"><l>start</l><block s="reportDate"><l><option>time in milliseconds</option></l></block></block><block s="doRun"><block var="stuff"/><list></list></block><block s="doReport"><block s="reportDifference"><block s="reportDate"><l><option>time in milliseconds</option></l></block><block var="start"/></block></block></script></block-definition><block-definition s="%&apos;n&apos; fib # (fast)" type="reporter" category="operators"><comment x="0" y="0" w="90" collapsed="false">This version uses decimals instead of actaul definitions of phi and sqrt(5), making it areound 1.4 times faster</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block s="reportPower"><l>1.61803398874989484820</l><block var="n"/></block><block s="reportPower"><l>-1.61803398874989484820</l><block s="reportMonadic"><l><option>neg</option></l><block var="n"/></block></block></block><l>2.23606797749978969640</l></block></block></script></block-definition><block-definition s="round %&apos;num&apos; to %&apos;dec&apos; places" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportQuotient"><block s="reportRound"><block s="reportVariadicProduct"><list><block var="num"/><block s="reportMonadic"><l><option>10^</option></l><block var="dec"/></block></list></block></block><block s="reportMonadic"><l><option>10^</option></l><block var="dec"/></block></block></custom-block></block></script></block-definition><block-definition s="Draw copmplex function %&apos;func&apos; at resolution %&apos;res&apos; offset by ( %&apos;xoffset&apos; , %&apos;yoffset&apos; ) zoom %&apos;zoom&apos; shading? %&apos;shading?&apos; $nl" type="command" category="other"><comment x="0" y="0" w="221" collapsed="false">-The function should accept complex value of the form a+bi, and return another complex number&#xD;-Resolution is the size in pixels of the &apos;pixel&apos;s drawn on screen (lower is finer, higher is pixelated)&#xD;-x and y offsets are in the unit space of the function, not pixel coordinates&#xD;-zoom is how far zoomed the function is (2x zoom means the output is scaled up by 2x)&#xD;-Zoom of 1 and no offset the x values range from -1 to 1, and the y values from -.75i to .75i&#xD;-Shading darkens/lightens the color based on its mafnitude&#xD;&#xD;---If you want to change the stage size of the project, make sure to the 480&apos;s to half the width and the 360&apos;s to half the height, they are there becuase using a pure number makes the program slighly faster.---&#xD;---You should not need to change the hue function, as that is tied to the angle of the complex output, but you can change the birghtness function if your function has larger or smaller values to make it look better---&#xD;&#xD;---Legoman3.14</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>func_temp</l></list></block><block s="setSize"><block s="reportVariadicSum"><list><block var="res"/><l>2</l></list></block></block><block s="setPenColorDimension"><l><option>brightness</option></l><l>100</l></block><block s="setPenColorDimension"><l><option>saturation</option></l><l>100</l></block><custom-block s="for %upvar = %n step %n to %n %cs"><l>y</l><block s="reportAttributeOf"><l><option>bottom</option></l><l>Stage</l></block><block var="res"/><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><script><block s="doWarp"><script><block s="up"></block><custom-block s="for %upvar = %n step %n to %n %cs"><l>x</l><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><block var="res"/><block s="reportAttributeOf"><l><option>right</option></l><l>Stage</l></block><script><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="doSetVar"><l>func_temp</l><block s="evaluate"><block var="func"/><list><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="x"/><block s="reportVariadicProduct"><list><l>480</l><block var="zoom"/></list></block></block><block var="xoffset"/></list></block><block s="reportVariadicProduct"><list><custom-block s="%s"><l>i</l></custom-block><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="y"/><block s="reportVariadicProduct"><list><l>480</l><block var="zoom"/></list></block></block><block var="yoffset"/></list></block></list></block></list></block></list></block></block><block s="setPenColorDimension"><l><option>hue</option></l><block s="reportVariadicProduct"><list><block s="reportQuotient"><l>50</l><custom-block s="pi"></custom-block></block><custom-block s="Scheme number %s of %s"><l>angle</l><block var="func_temp"/></custom-block></list></block><comment w="90" collapsed="false">Sets the pen color based on the angle of the output</comment></block><block s="doIf"><block var="shading?"/><script><block s="setPenColorDimension"><l><option>brightness</option></l><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>atan</option></l><custom-block s="Scheme number %s of %s"><l>magnitude</l><block var="func_temp"/></custom-block></block><l>2.5</l></list></block><comment w="90" collapsed="false">If shading is enabled, brighten/darken the output based on its magnitude (size).</comment></block><block s="setPenColorDimension"><l><option>saturation</option></l><block s="reportQuotient"><l>1000</l><custom-block s="Scheme number %s of %s"><l>magnitude</l><block var="func_temp"/></custom-block></block></block></script><list></list></block><block s="down"></block></script></custom-block></script></block></script></custom-block></script></block-definition><block-definition s="value of %&apos;func&apos; at mouse pointer zoom %&apos;zoom&apos; offset ( %&apos;xoffset&apos; , %&apos;yoffset&apos; )" type="reporter" category="other"><comment x="0" y="0" w="236.9999999999999" collapsed="false">Gives the output of a function at the mouse pointer.  ---Zoom, x-offset, and y-offset should be the same as in the main plotting block, in order to make this output line up with the graph.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doDeclareVariables"><list><l>func_temp</l></list></block><block s="doSetVar"><l>func_temp</l><block s="evaluate"><block var="func"/><list><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportMouseX"></block><block s="reportVariadicProduct"><list><l>480</l><block var="zoom"/></list></block></block><block var="xoffset"/></list></block><block s="reportVariadicProduct"><list><custom-block s="%s"><l>i</l></custom-block><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportMouseY"></block><block s="reportVariadicProduct"><list><l>480</l><block var="zoom"/></list></block></block><block var="yoffset"/></list></block></list></block></list></block></custom-block></list></block></block><block s="doReport"><block s="reportJoinWords"><list><block s="reportJoinWords"><list><custom-block s="round %n to %n places"><custom-block s="%s of %n"><l>base</l><custom-block s="Scheme number %s of %s"><l>real-part</l><block var="func_temp"/></custom-block></custom-block><l>2</l></custom-block><l>e</l><custom-block s="%s of %n"><l>power</l><custom-block s="Scheme number %s of %s"><l>real-part</l><block var="func_temp"/></custom-block></custom-block></list></block><l>║</l><block s="reportJoinWords"><list><custom-block s="round %n to %n places"><custom-block s="%s of %n"><l>base</l><custom-block s="Scheme number %s of %s"><l>imag-part</l><block var="func_temp"/></custom-block></custom-block><l>2</l></custom-block><l>e</l><custom-block s="%s of %n"><l>power</l><custom-block s="Scheme number %s of %s"><l>imag-part</l><block var="func_temp"/></custom-block></custom-block><l>𝙞</l></list></block></list></block></block></script></block-definition><block-definition s="x-axis %&apos;xaxis?&apos; min %&apos;xmin&apos; max %&apos;xmax&apos; position %&apos;x_axis_position&apos; ticks? %&apos;x-ticks?&apos; #ticks %&apos;#x_ticks&apos; $nl ‎‎‏‏‎ ‎ $nl y-axis %&apos;yaxis?&apos; min %&apos;ymin&apos; max %&apos;ymax&apos; position %&apos;y_axis_position&apos; ticks? %&apos;y-ticks?&apos; #ticks %&apos;# y_ticks&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%b">true</input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%b">true</input><input type="%n"></input><input type="%b">true</input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%b">true</input><input type="%n"></input></inputs><script><block s="doIf"><block var="xaxis?"/><script><block s="doDeclareVariables"><list><l>xrange</l></list></block><block s="doSetVar"><l>xrange</l><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block></block><block s="setSize"><l>6</l></block><block s="up"></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><block var="x_axis_position"/></block><block s="down"></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>right</option></l><l>Stage</l></block><block var="x_axis_position"/></block><block s="up"></block><block s="doIf"><block var="x-ticks?"/><script><block s="setSize"><l>4</l></block><block s="doDeclareVariables"><list><l>up?</l></list><comment w="90" collapsed="false">Stagers the y offset of the labels to make them not collide</comment></block><block s="doSetVar"><l>up?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doForEach"><l>tick</l><custom-block s="nice ticks min %n max %n with %n tickmarks"><block var="xmin"/><block var="xmax"/><block var="#x_ticks"/></custom-block><script><block s="up"></block><block s="gotoXY"><custom-block s="remap %n from ( %n , %n ) to ( %n , %n"><block var="tick"/><block var="xmin"/><block var="xmax"/><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>right</option></l><l>Stage</l></block></custom-block><block s="reportVariadicSum"><list><block var="x_axis_position"/><l>10</l></list></block></block><block s="down"></block><block s="gotoXY"><custom-block s="remap %n from ( %n , %n ) to ( %n , %n"><block var="tick"/><block var="xmin"/><block var="xmax"/><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>right</option></l><l>Stage</l></block></custom-block><block s="reportDifference"><block var="x_axis_position"/><l>10</l></block></block><block s="up"></block><block s="changeYPosition"><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block var="x_axis_position"/><l>330</l></list></block><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block var="x_axis_position"/><l>-330</l></list></block><block s="reportIfElse"><block var="up?"/><l>30</l><l>50</l></block><block s="reportIfElse"><block var="up?"/><l>-25</l><l>30</l></block></block><block s="reportIfElse"><block var="up?"/><l>-45</l><l>-25</l></block></block><comment w="90" collapsed="false">Moves the sprite into place to draw label</comment></block><block s="changeXPosition"><l>-30</l></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><custom-block s="%s of %n"><l>power</l><block var="tick"/></custom-block><l>-10</l></list></block><script><block s="write"><block s="reportJoinWords"><list><custom-block s="round %n to %n places"><custom-block s="%s of %n"><l>base</l><block var="tick"/></custom-block><l>3</l></custom-block><l>e</l><custom-block s="%s of %n"><l>power</l><block var="tick"/></custom-block></list></block><l>24</l></block></script><list></list><comment w="90" collapsed="false">If the tickmark is not 0, write a label, changing the color to white if the background is too dark</comment></block><block s="doSetVar"><l>up?</l><block s="reportNot"><block var="up?"/></block></block></script></block></script><list></list></block></script><list></list></block><block s="doIf"><block var="yaxis?"/><script><block s="doDeclareVariables"><list><l>yrange</l></list></block><block s="doSetVar"><l>yrange</l><block s="reportDifference"><block var="ymax"/><block var="ymin"/></block></block><block s="setSize"><l>6</l></block><block s="up"></block><block s="gotoXY"><block var="y_axis_position"/><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block></block><block s="down"></block><block s="gotoXY"><block var="y_axis_position"/><block s="reportAttributeOf"><l><option>bottom</option></l><l>Stage</l></block></block><block s="up"></block><block s="doIf"><block var="y-ticks?"/><script><block s="setSize"><l>4</l></block><block s="doForEach"><l>tick</l><custom-block s="nice ticks min %n max %n with %n tickmarks"><block var="ymin"/><block var="ymax"/><block var="# y_ticks"/></custom-block><script><block s="up"></block><block s="gotoXY"><block s="reportDifference"><block var="y_axis_position"/><l>10</l></block><custom-block s="remap %n from ( %n , %n ) to ( %n , %n"><block var="tick"/><block var="ymin"/><block var="ymax"/><block s="reportAttributeOf"><l><option>bottom</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block></custom-block></block><block s="down"></block><block s="gotoXY"><block s="reportVariadicSum"><list><block var="y_axis_position"/><l>10</l></list></block><custom-block s="remap %n from ( %n , %n ) to ( %n , %n"><block var="tick"/><block var="ymin"/><block var="ymax"/><block s="reportAttributeOf"><l><option>bottom</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block></custom-block></block><block s="up"></block><block s="changeYPosition"><l>10</l><comment w="90" collapsed="false">Moves the sprite into place to draw label</comment></block><block s="changeXPosition"><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block var="y_axis_position"/><l>400</l></list></block><l>0</l><l>-120</l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><custom-block s="%s of %n"><l>power</l><block var="tick"/></custom-block><l>-10</l></list></block><script><block s="write"><block s="reportJoinWords"><list><custom-block s="round %n to %n places"><custom-block s="%s of %n"><l>base</l><block var="tick"/></custom-block><l>3</l></custom-block><l>e</l><custom-block s="%s of %n"><l>power</l><block var="tick"/></custom-block><l>𝑖</l></list></block><l>24</l></block></script><list></list><comment w="90" collapsed="false">If the tickmark is not 0, write a label, changing the color to white if the background is too dark</comment></block></script></block></script><list></list></block></script><list></list></block></script><scripts><script x="770" y="644.9999999999995"><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportAspect"><l><option>brightness</option></l><l><option>myself</option></l></block><l>50</l></list></block><script><block s="setPenColorDimension"><l><option>brightness</option></l><l>100</l></block></script><script><block s="setPenColorDimension"><l><option>brightness</option></l><l>0</l></block></script></block><block s="setPenColorDimension"><l><option>brightness</option></l><l>0</l></block></script><comment x="538" y="43.36666666666679" w="222.00000000000003" collapsed="false">If you change scren size, make sure to cahge all hard-coded numbers</comment></scripts></block-definition><block-definition s="nice ticks min %&apos;min&apos; max %&apos;max&apos; with %&apos;ticks&apos; tickmarks" type="reporter" category="operators"><comment x="0" y="0" w="236.99999999999997" collapsed="false">Reports a list of &apos;nice&apos; values (those that start with 1, 2, or 5) between min and mix centered around the nice number closest to the center, or at 0, if that is between min and max&#xD;---!numbers are not garunteed to be sorted!---</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doDeclareVariables"><list><l>range</l></list></block><block s="doDeclareVariables"><list><l>tick_size</l></list></block><block s="doSetVar"><l>range</l><block s="reportDifference"><block var="max"/><block var="min"/></block></block><block s="doSetVar"><l>tick_size</l><custom-block s="%s of %n"><l>scientfic notation</l><block s="reportNewList"><list><custom-block s="%l nearest to %n"><block s="reportNewList"><list><l>1</l><l>2</l><l>5</l><l>10</l></list></block><custom-block s="%s of %n"><l>base</l><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportQuotient"><block var="range"/><block var="ticks"/></block></custom-block></custom-block></custom-block><custom-block s="%s of %n"><l>power</l><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportQuotient"><block var="range"/><block var="ticks"/></block></custom-block></custom-block></list></block></custom-block></block><block s="doReport"><custom-block s="numbers from %n to %n step %n"><block s="reportVariadicSum"><list><block var="min"/><block s="reportDifference"><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block><block s="reportModulus"><block var="min"/><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block></block></block></list></block><block var="max"/><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block></custom-block></block></script><scripts><script x="247.00000000000003" y="374.6666666666667"><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="max"/><l>0</l></list></block><block s="reportVariadicLessThan"><list><block var="min"/><l>0</l></list></block></list></block><script></script><script></script></block></script><script x="506.00585937499994" y="296.8333333333334"><block s="reportDifference"><block var="min"/><block s="reportModulus"><block var="min"/><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block></block></block></script><script x="541" y="432.99999999999994"><block s="doReport"><block s="reportConcatenatedLists"><list><custom-block s="numbers from %n to %n step %n"><l>0</l><block var="min"/><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block></custom-block><block s="reportCDR"><custom-block s="numbers from %n to %n step %n"><l>0</l><block var="max"/><custom-block s="%s of %n"><l>full</l><block var="tick_size"/></custom-block></custom-block></block></list></block></block></script><script x="78" y="427.83333333333337"><block s="reportCDR"><l/></block></script></scripts></block-definition><block-definition s="%&apos;part&apos; of %&apos;num&apos;" type="reporter" category="operators"><comment x="0" y="0" w="229.00000000000003" collapsed="false">take a number in scientific or normal notation, and reports thepower or the base&#xD;-base of 1234 = 1.234&#xD;-power of 1234 = 3</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>base=base&#xD;power=power&#xD;scientfic notation=scientfic notation&#xD;full=full</options></input><input type="%n"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>base</l></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><custom-block s="%s of %n"><l>scientfic notation</l><block var="num"/></custom-block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>power</l></list></block><script><block s="doReport"><block s="reportListItem"><l>2</l><custom-block s="%s of %n"><l>scientfic notation</l><block var="num"/></custom-block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>scientfic notation</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="num"/><l><option>number</option></l></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportQuotient"><block var="num"/><block s="reportMonadic"><l><option>10^</option></l><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>log</option></l><block s="reportMonadic"><l><option>abs</option></l><block var="num"/></block></block></block></block></block><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>log</option></l><block s="reportMonadic"><l><option>abs</option></l><block var="num"/></block></block></block></list></block></block></script><script><block s="doReport"><custom-block s="%s of %n"><l>scientfic notation</l><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="num"/></block><block s="reportMonadic"><l><option>10^</option></l><block s="reportListItem"><l>2</l><block var="num"/></block></block></list></block></custom-block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="part"/><l>full</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="num"/><l><option>number</option></l></block><script><block s="doReport"><block var="num"/></block></script><script><block s="doReport"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="num"/></block><block s="reportMonadic"><l><option>10^</option></l><block s="reportListItem"><l>2</l><block var="num"/></block></block></list></block></block></script></block></script><list></list></block></script><scripts><script x="627" y="236.83333333333331"><block s="doIfElse"><block s="reportIsA"><block var="num"/><l><option>number</option></l></block><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="part"/><l>base</l></list></block><l></l><block s="reportListItem"><l>2</l><l/></block></block></block></script><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="part"/><l>base</l></list></block><l></l><block s="reportListItem"><l>2</l><block var="num"/></block></block></block></script></block></script><script x="484" y="391.49999999999994"><block s="doIfElse"><block s="reportIsA"><block var="num"/><l><option>number</option></l></block><script></script><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="num"/></block></block></script></block></script><script x="389" y="97.66666666666667"><block s="doIfElse"><block s="reportIsA"><block var="num"/><l><option>number</option></l></block><script></script><script><block s="doReport"><block s="reportListItem"><l>1</l><custom-block s="%s of %n"><l>scientfic notation</l><block var="num"/></custom-block></block></block></script></block></script></scripts></block-definition><block-definition s="numbers from %&apos;min&apos; to %&apos;max&apos; step %&apos;step&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportVariadicProduct"><list><block s="reportNumbers"><block s="reportQuotient"><block var="min"/><block var="step"/></block><block s="reportQuotient"><block var="max"/><block var="step"/></block></block><block var="step"/></list></block></block></script><scripts><script x="256.0185546875" y="126.83333333333343"><block var="max"/></script></scripts></block-definition><block-definition s="%&apos;list&apos; nearest to %&apos;num&apos;" type="reporter" category="lists"><comment x="0" y="0" w="90" collapsed="false">find the item of the list closest to the number</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%n"></input></inputs><script><block s="doDeclareVariables"><list><l>closest</l></list></block><block s="doSetVar"><l>closest</l><block s="reportListItem"><l>1</l><block var="list"/></block></block><block s="doForEach"><l>item</l><block var="list"/><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="num"/><block var="item"/></block></block><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="num"/><block var="closest"/></block></block></list></block><script><block s="doSetVar"><l>closest</l><block var="item"/></block></script><list></list></block></script></block><block s="doReport"><block var="closest"/></block></script></block-definition><block-definition s="remap %&apos;num&apos; from ( %&apos;old_min&apos; , %&apos;old_max&apos; ) to ( %&apos;new_min&apos; , %&apos;new_max&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportDifference"><block var="num"/><block var="old_min"/></block><block s="reportDifference"><block var="old_max"/><block var="old_min"/></block></block><block s="reportDifference"><block var="new_max"/><block var="new_min"/></block></list></block><block var="new_min"/></list></block></block></script></block-definition><block-definition s="%&apos;text&apos; %&apos;commands&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%cs"></input></inputs><script><block s="doRun"><block var="commands"/><list></list></block></script></block-definition><block-definition s="%&apos;h-trig&apos; of %&apos;num&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">sinh<options>sin&#xD;cost&#xD;tan&#xD;sec&#xD;csc&#xD;cot&#xD;sinh&#xD;cosh&#xD;tanh&#xD;sech&#xD;csch&#xD;coth</options></input><input type="%n"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="h-trig"/><l>sinh</l></list></block><script><block s="doReport"><l></l></block></script><list></list></block><block s="doIf"><l/><script></script><list></list></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="960" height="720" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="flat" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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</pentrails><costumes><list id="1400"><item><ref mediaID="Stage_cst_costume1"></ref></item><item><ref mediaID="Stage_cst_Untitled"></ref></item><item><ref mediaID="Stage_cst_1920px-SMPTE_Color_Bars_16x9"></ref></item></list></costumes><sounds><list struct="atomic" id="1401"></list></sounds><variables></variables><blocks><block-definition s="zoom in %&apos;amount&apos;" type="command" category="other"><comment x="0" y="0" w="219.87207031249997" collapsed="false">What number to multiply the zoom by&#xD;- If currently at a zoom of 2 and you &apos;zoom in 1.5&apos;, the new zoom will be at 2*1.5 = 3</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doSetVar"><l>zoom</l><block s="reportVariadicProduct"><list><block var="zoom"/><block var="amount"/></list></block></block><block s="doTellTo"><l>Crosshairs</l><block s="reifyScript"><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="doSwitchToCostume"><block s="reportPenTrailsAsCostume"></block></block><block s="setScale"><block s="reportVariadicProduct"><list><l>100</l><block var="amount"/></list></block></block><block s="doStamp"></block></script><list></list></block><list></list><comment w="90" collapsed="false">Generates a preview by scaling the old screen, then pasting it</comment></block><block s="doBroadcastAndWait"><l>render</l><list></list></block></script></block-definition><block-definition s="zoom out %&apos;amount&apos;" type="command" category="other"><comment x="0" y="0" w="214.8720703125" collapsed="false">What number to divide the zoom by.&#xD;- If currently at zoom 3, and you &apos;zoom out 1,5&apos;, the new zoom will be 3/1,5=2</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doSetVar"><l>zoom</l><block s="reportQuotient"><block var="zoom"/><block var="amount"/></block></block><block s="doTellTo"><l>Crosshairs</l><block s="reifyScript"><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="doSwitchToCostume"><block s="reportPenTrailsAsCostume"></block></block><block s="setScale"><block s="reportQuotient"><l>100</l><block var="amount"/></block></block><block s="doStamp"></block></script><list></list></block><list></list><comment w="90" collapsed="false">Generates a preview by scaling the old screen</comment></block><block s="doBroadcastAndWait"><l>render</l><list></list></block></script></block-definition></blocks><scripts><script x="54" y="46.00000000000003"><block s="receiveInteraction"><l><option>pressed</option></l></block><block s="doDeclareVariables"><list><l>old_x</l></list></block><block s="doDeclareVariables"><list><l>old_y</l></list></block><block s="doSetVar"><l>old_x</l><block s="reportMouseX"></block></block><block s="doSetVar"><l>old_y</l><block s="reportMouseY"></block></block><block s="doTellTo"><l>Crosshairs</l><block s="reifyScript"><script><block s="setScale"><l>100</l></block><block s="show"></block><block s="doGotoObject"><l><option>mouse-pointer</option></l></block><block s="doSwitchToCostume"><block s="reportPenTrailsAsCostume"></block></block></script><list></list></block><list></list><comment w="90" collapsed="false">Copies the screen to a costume</comment></block><block s="doTellTo"><l>Label</l><block s="reifyScript"><script><block s="hide"></block><block s="doStopThis"><l><option>other scripts in sprite</option></l></block></script><list></list></block><list></list></block><block s="doUntil"><block s="reportNot"><block s="reportMouseDown"></block></block><script><block s="doTellTo"><l>Crosshairs</l><block s="reifyScript"><script><block s="doGotoObject"><l><option>mouse-pointer</option></l></block></script><list></list></block><list></list><comment w="90" collapsed="false">While the mouse is held, keep the costume following the mouse</comment></block></script></block><block s="doChangeVar"><l>xoffset</l><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportDifference"><block var="old_x"/><block s="reportMouseX"></block></block><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="reportQuotient"><l>2</l><block var="zoom"/></block></list></block></custom-block></block><block s="doChangeVar"><l>yoffset</l><custom-block s="Scheme number %s of %s"><l>inexact</l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportDifference"><block var="old_y"/><block s="reportMouseY"></block></block><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="reportQuotient"><l>2</l><block var="zoom"/></block></list></block></custom-block></block><block s="doTellTo"><l>Crosshairs</l><block s="reifyScript"><script><block s="doStamp"></block><block s="hide"></block></script><list></list></block><list></list><comment w="90" collapsed="false">Stampt the costume, then hide it so that it can be drawn over</comment></block><block s="doBroadcastAndWait"><l>render</l><list></list></block></script><script x="522" y="26.833333333333314"><block s="receiveInteraction"><l><option>scrolled-down</option></l></block><custom-block s="zoom in %n" scope="local"><l>1.5</l></custom-block></script><script x="713.0000000000001" y="29.833333333333286"><block s="receiveInteraction"><l><option>scrolled-up</option></l></block><custom-block s="zoom out %n" scope="local"><l>1.5</l></custom-block></script><script x="546" y="111.66666666666666"><block s="receiveKey"><l><option>any key</option></l><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportKeyPressed"><block s="reportJoinWords"><list><l>=</l></list></block></block><block s="reportKeyPressed"><block s="reportJoinWords"><list><l>+</l></list></block></block></list></block><script><custom-block s="zoom in %n" scope="local"><l>1.5</l></custom-block></script><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportKeyPressed"><block s="reportJoinWords"><list><l>-</l></list></block></block><block s="reportKeyPressed"><block s="reportJoinWords"><list><l>_</l></list></block></block></list></block><script><custom-block s="zoom out %n" scope="local"><l>1.5</l></custom-block></script><list></list></block></script></block></script><comment x="921.0000000000002" y="42.66666666666666" w="90" collapsed="false">Self explanatory&#xD;When the uuser wants to zoom in, zoom in, else zoom out.</comment></scripts><sprites select="1"><sprite name="Crosshairs" idx="3" x="0" y="0" heading="90" scale="0.6666666666666667" volume="100" pan="0" rotation="1" draggable="false" hidden="true" costume="0" color="35.342999999999925,0,252.45,1" pen="tip" id="1672"><wear><ref mediaID="4"></ref></wear><costumes><list struct="atomic" id="1673"></list></costumes><sounds><list struct="atomic" id="1674"></list></sounds><blocks></blocks><variables></variables><scripts><script x="2989" y="252.00000000000003"><block s="reportJoinWords"><list><l>nothing</l></list></block></script><comment x="2975" y="238.66666666666663" w="104" collapsed="false">No- ther is actually nothing here- Stop looking!</comment><comment x="2975.2431640624995" y="232" w="104" collapsed="false">------------------------------&#xD;I told you, there really is *nothing* here!&#xD;------------------------------</comment><script x="19" y="14.999999999999998"><block s="receiveGo"></block><block s="hide"></block></script><comment x="13.999999999999996" y="117.66666666666666" w="90" collapsed="false">Move along now, nothing to see here</comment></scripts></sprite><sprite name="Renderer" idx="1" x="480" y="360" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="false" hidden="true" costume="0" color="154.61699148652468,0,255,1" pen="tip" id="1684"><costumes><list struct="atomic" id="1685"></list></costumes><sounds><list struct="atomic" id="1686"></list></sounds><blocks></blocks><variables></variables><scripts><script x="27.999999999999993" y="11.333333333333242"><block s="receiveGo"></block><block s="doSetVar"><l>function</l><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportPower"><block s="reportVariadicSum"><list><l></l><l>1</l></list></block><l>2</l></block><block s="reportPower"><block s="reportDifference"><l></l><l>1</l></block><l>2</l></block></block></autolambda><list></list></block></block><block s="hide"></block><custom-block s="USE BIGNUMS %b"><l><bool>true</bool></l></custom-block><block s="setPenColorDimension"><l><option>saturation</option></l><l>100</l></block><block s="setPenColorDimension"><l><option>brightness</option></l><l>100</l></block><block s="doSetVar"><l>resolution</l><l>16</l></block><block s="doSetVar"><l>xoffset</l><l>0</l></block><block s="doSetVar"><l>yoffset</l><l>0</l></block><block s="doSetVar"><l>zoom</l><l>1</l></block><block s="clear"></block><block s="doBroadcast"><l>render</l><list></list></block></script><script x="10.711914062500009" y="1082.666666666666"><custom-block s="for %upvar = %n step %n to %n %cs"><l>y</l><block s="reportAttributeOf"><l><option>bottom</option></l><l>Stage</l></block><block var="resolution"/><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><script><custom-block s="for %upvar = %n step %n to %n %cs"><l>x</l><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><block var="resolution"/><block s="reportAttributeOf"><l><option>right</option></l><l>Stage</l></block><script><block s="doSetVar"><l>test</l><l></l></block></script></custom-block></script><comment w="90" collapsed="false">script for timing stuff</comment></custom-block></script><script x="573.6396484375" y="9.999999999999991"><block s="receiveKey"><l><option>h</option></l><list></list><comment w="90" collapsed="false">h re-renders scene at high resolution&#xD;--May take over  minute, especially on slower computers--</comment></block><block s="clear"></block><block s="doSetVar"><l>resolution</l><l>2</l></block><block s="doBroadcastAndWait"><l>render</l><list></list></block><block s="doSetVar"><l>resolution</l><l>16</l></block></script><script x="877.6396484375001" y="9.999999999999991"><block s="receiveKey"><l><option>o</option></l><list></list><comment w="90" collapsed="false">o shows/hides the overlays (the ouput label and the axes)</comment></block><block s="doSetVar"><l>overlays?</l><block s="reportNot"><block var="overlays?"/></block></block><block s="doIfElse"><block var="overlays?"/><script><block s="doBroadcast"><l>show overlays</l><list></list></block></script><script><block s="doBroadcast"><l>hide overlays</l><list></list></block></script></block></script><script x="876.6396484374998" y="186.83333333333326"><block s="receiveKey"><l><option>space</option></l><list></list><comment w="90" collapsed="false">Space re-renders the scene</comment></block><block s="clear"></block><block s="doBroadcast"><l>render</l><list></list></block></script><comment x="68" y="712.6666666666666" w="158.41210937499997" collapsed="false">sin(a+bi)=sinacoshb+icosasinhb</comment><script x="575.6396484375" y="150.83333333333326"><block s="receiveKey"><l><option>r</option></l><list></list><comment w="90" collapsed="false">r resets the program</comment></block><custom-block s="USE BIGNUMS %b"><l><bool>true</bool></l></custom-block><block s="setPenColorDimension"><l><option>saturation</option></l><l>100</l></block><block s="setPenColorDimension"><l><option>brightness</option></l><l>100</l></block><block s="doSetVar"><l>resolution</l><l>16</l></block><block s="doSetVar"><l>xoffset</l><l>0</l></block><block s="doSetVar"><l>yoffset</l><l>0</l></block><block s="doSetVar"><l>zoom</l><l>1</l></block><block s="clear"></block><block s="doBroadcast"><l>render</l><list></list></block></script><script x="23" y="354.66666666666674"><block s="receiveMessage"><l>render</l><list></list></block><block s="doSetVar"><l>rendering?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="Draw copmplex function %repRing at resolution %n offset by ( %n , %n ) zoom %n shading? %b %br"><block var="function"/><block var="resolution"/><block var="xoffset"/><block var="yoffset"/><block var="zoom"/><l><bool>true</bool></l><comment w="90" collapsed="false">Actually draws the function</comment></custom-block><block s="doSetVar"><l>rendering?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doBroadcast"><l>done</l><list></list></block></script><script x="608.7119140625" y="419.50000000000006"><block s="doSetVar"><l>function</l><block s="reportListItem"><l><option>random</option></l><block s="reportNewList"><list><block s="reifyReporter"><autolambda><custom-block s="%n fib # (fast)"><l></l></custom-block></autolambda><list></list></block><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportPower"><block s="reportVariadicSum"><list><l></l><l>1</l></list></block><l>2</l></block><block s="reportPower"><block s="reportDifference"><l></l><l>1</l></block><l>2</l></block></block></autolambda><list></list></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><block s="reportMonadic"><l><option>sin</option></l><custom-block s="Scheme number %s of %s"><l>real-part</l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><custom-block s="pi"></custom-block></block></list></block></custom-block></block><block s="reportVariadicProduct"><list><custom-block s="%s"><l>i</l></custom-block><block s="reportMonadic"><l><option>cos</option></l><custom-block s="Scheme number %s of %s"><l>imag-part</l><block s="reportVariadicProduct"><list><l></l><block s="reportQuotient"><l>360</l><custom-block s="pi"></custom-block></block></list></block></custom-block></block></list></block></list></block></autolambda><list></list></block><block s="reifyReporter"><autolambda><block s="reportPower"><l></l><block s="reportMonadic"><l><option>neg</option></l><l></l></block></block></autolambda><list></list></block><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportPower"><l></l><custom-block s="%s"><l>i</l></custom-block></block><block s="reportPower"><l></l><l>2</l></block></list></block><block s="reportVariadicSum"><list><block s="reportPower"><l></l><l>2</l></block><custom-block s="%s"><l>i</l></custom-block></list></block></block></autolambda><list></list></block></list><comment w="90" collapsed="false">Some cool-looking functions to try out, or make your own.&#xD;Don&apos;t forget to zoom/pan</comment></block></block></block></script><script x="153.99999999999997" y="591.6666666666665"><custom-block s="Scheme number %s of %s"><l>angle</l><l></l></custom-block></script></scripts></sprite><sprite name="Axis" idx="2" x="88.82208251953125" y="330" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="0,0,0,1" pen="tip" id="2007"><costumes><list struct="atomic" id="2008"></list></costumes><sounds><list struct="atomic" id="2009"></list></sounds><blocks></blocks><variables></variables><scripts><script x="29.999999999999996" y="29.999999999999996"><block s="receiveMessage"><l><option>any message</option></l><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="getLastMessage"></block><l>show overlays</l></list></block><block s="reportVariadicEquals"><list><block s="getLastMessage"></block><l>done</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportNot"><block var="rendering?"/></block><block var="overlays?"/></list></block></list></block><script><block s="doWarp"><script><custom-block s="x-axis %b min %n max %n position %n ticks? %b #ticks %n %br ‎‎‏‏‎ ‎ %br y-axis %b min %n max %n position %n ticks? %b #ticks %n"><l><bool>true</bool></l><block s="reportDifference"><block var="xoffset"/><block s="reportQuotient"><l>1</l><block var="zoom"/></block></block><block s="reportVariadicSum"><list><block var="xoffset"/><block s="reportQuotient"><l>1</l><block var="zoom"/></block></list></block><block s="reportVariadicMax"><list><l>-360</l><block s="reportVariadicMin"><list><l>360</l><block s="reportVariadicProduct"><list><block s="reportVariadicProduct"><list><block var="yoffset"/><block var="zoom"/></list></block><l>-480</l></list></block></list></block></list></block><l><bool>true</bool></l><l>10</l><l><bool>true</bool></l><block s="reportDifference"><block var="yoffset"/><block s="reportQuotient"><l>.75</l><block var="zoom"/></block></block><block s="reportVariadicSum"><list><block var="yoffset"/><block s="reportQuotient"><l>.75</l><block var="zoom"/></block></list></block><block s="reportVariadicMax"><list><l>-480</l><block s="reportVariadicMin"><list><l>480</l><block s="reportVariadicProduct"><list><block s="reportVariadicProduct"><list><block var="xoffset"/><block var="zoom"/></list></block><l>-480</l></list></block></list></block></list></block><l><bool>true</bool></l><l>7</l></custom-block></script></block></script><list></list></block></script><script x="504" y="39"><block s="receiveGo"></block><block s="setColor"><color>0,0,0,1</color></block><block s="setPenColorDimension"><l><option>brightness</option></l><l>0</l></block><block s="hide"></block></script></scripts></sprite><sprite name="Scale" idx="5" x="450" y="0" heading="90" scale="2.5" volume="100" pan="0" rotation="1" draggable="false" costume="2" color="188.7,0,124.54200000000003,1" pen="tip" id="2143"><costumes><list id="2144"><item><ref mediaID="Scale_cst_Complex Fibonacci Part 2"></ref></item><item><ref mediaID="Scale_cst_Complex Fibonacci Part 2(2)"></ref></item></list></costumes><sounds><list struct="atomic" id="2145"></list></sounds><blocks></blocks><variables></variables><scripts><script x="20.000000000000004" y="20.000000000000004"><block s="receiveGo"></block><block s="gotoXY"><l>450</l><l>0</l></block><block s="setScale"><l>250</l></block></script><script x="210.00000000000003" y="36.00000000000003"><block s="receiveInteraction"><l><option>mouse-entered</option></l></block><block s="setEffect"><l><option>ghost</option></l><l>0</l></block></script><script x="436" y="33.66666666666666"><block s="receiveInteraction"><l><option>mouse-departed</option></l></block><block s="setEffect"><l><option>ghost</option></l><l>100</l></block></script><comment x="636.0000000000001" y="25.666666666666654" w="90" collapsed="false">When you mouse over the side, make the scale turn visible.</comment></scripts></sprite><sprite name="Label" idx="4" x="-876" y="317" heading="90" scale="0.01" volume="100" pan="0" rotation="1" draggable="false" costume="0" color="0,0,0,1" pen="tip" id="2165"><costumes><list struct="atomic" id="2166"></list></costumes><sounds><list struct="atomic" id="2167"></list></sounds><blocks><block-definition s="show label %&apos;formula&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Function is whatever function you want the tooltip to display the value of.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input></inputs><script><block s="doIf"><block s="reportVariadicAnd"><list><block var="overlays?"/><block s="reportNot"><block var="rendering?"/></block></list></block><script><block s="show"></block><block s="doForever"><script><block s="gotoXY"><block s="reportVariadicSum"><list><block s="reportMouseX"></block><l>10</l></list></block><block s="reportVariadicSum"><list><block s="reportMouseY"></block><l>10</l></list></block></block><block s="bubble"><custom-block s="value of %repRing at mouse pointer zoom %n offset ( %n , %n )"><block var="formula"/><block var="zoom"/><block var="xoffset"/><block var="yoffset"/><comment w="90" collapsed="false">This monstrosity rounds the outputs to 2 decimal places and puts them into scientific notation</comment></custom-block></block></script></block></script><list></list></block></script><scripts><comment x="396.7041015625" y="29.83333333333331" w="90" collapsed="false">Only show overlays if they are supposed to be shown and it is not currently rendering a scene</comment></scripts></block-definition><block-definition s="hide label" type="command" category="looks"><header></header><code></code><translations></translations><inputs></inputs><script><block s="hide"></block><block s="doStopThis"><l><option>other scripts in sprite</option></l></block></script></block-definition></blocks><variables></variables><scripts><script x="20.000000000000004" y="20.000000000000004"><block s="receiveGo"></block><block s="setEffect"><l><option>ghost</option></l><l>100</l></block><block s="setScale"><l>0</l></block><block s="goToLayer"><l><option>front</option></l></block></script><script x="204" y="22"><block s="receiveMessage"><l>hide overlays</l><list></list></block><custom-block s="hide label" scope="local"></custom-block></script><script x="403" y="27.833333333333286"><block s="receiveMessage"><l>render</l><list></list></block><custom-block s="hide label" scope="local"></custom-block></script><script x="23" y="163.66666666666654"><block s="receiveMessage"><l><option>any message</option></l><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="getLastMessage"></block><l>show overlays</l></list></block><block s="reportVariadicEquals"><list><block s="getLastMessage"></block><l>done</l></list></block></list></block><script><custom-block s="hide label" scope="local"></custom-block><custom-block s="show label %repRing" scope="local"><block var="function"/></custom-block></script><list></list><comment w="90" collapsed="false">When it is done rendering or the user wasnts to show overlays, hide them to prevent duplicates, then show them</comment></block></script><comment x="567" y="17.666666666666657" w="90" collapsed="false">When rendering or the user wants to hide overlays, hide them</comment></scripts></sprite><watcher var="resolution" style="normal" x="0.0032975295903270307" y="0.0032975295905188773" color="243,118,29" hidden="true"/><watcher var="xoffset" style="normal" x="0" y="3.957033811730071e-9" color="243,118,29" hidden="true"/><watcher var="yoffset" style="normal" x="0" y="0.006924816756637142" color="243,118,29" hidden="true"/><watcher var="zoom" style="normal" x="0.0003297529590327031" y="0.013849629556247578" color="243,118,29" hidden="true"/><watcher var="overlays?" style="normal" x="0.0003297529590327031" 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s="reportPower"><block s="reportVariadicSum"><list><l></l><l>1</l></list></block><l>2</l></block><block s="reportPower"><block s="reportDifference"><l></l><l>1</l></block><l>2</l></block></block><receiver><ref id="1684"></ref></receiver><origin><ref id="1684"></ref></origin><context id="2295"><inputs><input></input></inputs><variables></variables><receiver><ref id="1684"></ref></receiver><origin><ref id="1684"></ref></origin></context></context></variable></variables></scene></scenes></project><media name="Complex Fibonacci Part 2" app="Snap! 10, https://snap.berkeley.edu" version="2"><costume name="costume1" center-x="240" center-y="180" 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BAgQE2A8QIECAAIFAQIADdJMECBAgQECA/QABAgQIEAgEBDhAN0mAAAECBC5oYGgQUTbVPQAAAABJRU5ErkJggg==" mediaID="Stage_cst_costume1"/><costume name="Untitled" center-x="240" center-y="180" 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mediaID="Stage_cst_Untitled"/><costume name="1920px-SMPTE_Color_Bars_16x9" center-x="240" center-y="180" 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" 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