<snapdata remixID="9078006"><project name="noisy polygon" app="Snap! 7, https://snap.berkeley.edu" version="2"><notes>Train the computer to match your ratings of abstract art based upon "noisy polygons". Click on the &apos;?&apos; for help.</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="noisy polygon"><notes>Train the computer to match your ratings of abstract art based upon "noisy polygons". Click on the &apos;?&apos; for help.</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="draw noisy polygon" type="command" category="other"><comment x="0" y="0" w="473.99999999999994" collapsed="false">Repeatedly go forward and turn but with some &quot;noise&quot; added to distance, angle, pen colour, and pen size.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doRepeat"><block var="repeat count"/><script><custom-block s="set pen color to r: %n g: %n b: %n"><block s="reportRandom"><custom-block s="minimum red"></custom-block><custom-block s="maximum red"></custom-block></block><block s="reportRandom"><custom-block s="minimum green"></custom-block><custom-block s="maximum green"></custom-block></block><block s="reportRandom"><custom-block s="minimum blue"></custom-block><custom-block s="maximum blue"></custom-block></block></custom-block><block s="setSize"><block s="reportRandom"><custom-block s="minimum pen size"></custom-block><custom-block s="maximum pen size"></custom-block></block></block><block s="forward"><block s="reportRandom"><custom-block s="minimum step"></custom-block><custom-block s="maximum step"></custom-block></block></block><block s="turn"><block s="reportRandom"><custom-block s="minimum turn"></custom-block><custom-block s="maximum turn"></custom-block></block></block><block s="up"></block><block s="gotoXY"><block s="reportSum"><block var="minimum x"/><block s="reportModulus"><block s="reportSum"><block s="xPosition"></block><block s="reportQuotient"><block var="stage width"/><l>2</l></block></block><block var="stage width"/></block></block><block s="reportSum"><block var="minimum y"/><block s="reportModulus"><block s="reportSum"><block s="yPosition"></block><block s="reportQuotient"><block var="stage height"/><l>2</l></block></block><block var="stage height"/></block></block><comment w="253" collapsed="false">Wrap around from one side to the opposite side.</comment></block><block s="down"></block></script></block></script></block></script></block-definition><block-definition s="clear all" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="hide"></block><block s="up"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="clear"></block><block s="down"></block></script></block-definition><block-definition s="add to ratings" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>ratings</l><block s="reportCONS"><block var="rating"/><block var="ratings"/></block></block><block s="doSetVar"><l>configurations</l><block s="reportCONS"><block var="current configuration"/><block var="configurations"/></block></block><block s="doChangeVar"><l>total rated</l><l>1</l></block><block s="doIf"><block s="reportIsA"><block var="after rating action"/><l><option>command</option></l></block><script><block s="doRun"><block var="after rating action"/><list></list></block></script></block></script></block-definition><block-definition s="show star" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="up"></block><block s="setHeading"><l>90</l></block><block s="gotoXY"><block s="reportSum"><l>-220</l><block s="reportProduct"><block s="reportDifference"><block var="rating"/><l>1</l></block><l>88</l></block></block><l>-120</l></block><block s="show"></block></script></block-definition><block-definition s="paint %&apos;configuration&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doForEach"><l>star</l><custom-block s="get stars"></custom-block><script><block s="doTellTo"><block var="star"/><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script></block><block s="doSetVar"><l>current configuration</l><block var="configuration"/></block><custom-block s="clear all"></custom-block><custom-block s="draw noisy polygon"></custom-block><block s="doForEach"><l>star</l><custom-block s="get stars"></custom-block><script><block s="doTellTo"><block var="star"/><block s="reifyScript"><script><custom-block s="show star"></custom-block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="initialise stage variables" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>stage width</l><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="doSetVar"><l>stage height</l><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="doSetVar"><l>minimum x</l><block s="reportProduct"><l>-0.5</l><block var="stage width"/></block></block><block s="doSetVar"><l>minimum y</l><block s="reportProduct"><l>-0.5</l><block var="stage height"/></block></block></script></block-definition><block-definition s="Search for good neural net model parameters for %&apos;model name&apos; perform %&apos;number of experiments&apos; experiments with each running %&apos;training cycles&apos; training cycles $nl and when each experiment finishes do %&apos;do when a trial finishes&apos; $nl then process best parameters %&apos;do with best parameters&apos; $nl but if there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="267.8571428571429" collapsed="false">This searches for the best hyperparameters (learning rate, number of training cycles, loss function, optimazation method, and layers) that results in the most accurate model. It will run &apos;do when a trial finishes&apos; with the results of each experiment and after &apos;number of experiments&apos; it will run &apos;do with parameters&apos; with the best parameters found. The parameters can then be passed along to the &quot;Create and train a neural net named ... base upon ...&quot; block.&#xD;The named model must already exist and its training data (and optionally its validation data) already made available.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%n"></input><input type="%n"></input><input type="%cmdRing"></input><input type="%cmdRing"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>optimize_hyperparameters</l><list><block var="model name"/><block var="number of experiments"/><block var="training cycles"/><block var="do when a trial finishes"/><block var="do with best parameters"/><block var="process error"/></list></custom-block></script></block-definition><block-definition s="Open support panel %&apos;source&apos;" type="command" category="sensing"><comment x="0" y="0" w="170.71428571428572" collapsed="false">Open an interface page for different machine learning models.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">training using camera<options>training using camera&#xD;training using microphone&#xD;posenet&#xD;tensorflow.js</options></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>display_support_window</l><list><block var="source"/></list></custom-block></script></block-definition><block-definition s="Get prediction from model %&apos;name&apos; with input %&apos;input&apos; $nl then %&apos;process prediction&apos; $nl or if there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="226.42857142857144" collapsed="false">Ask the trained model to predict what the output should be for the &apos;input&apos;. There is also a block for computing many predictions all at once.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%s"></input><input type="%cmdRing"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>predictions_from_model</l><list><block var="name"/><block s="reportNewList"><list><block var="input"/></list></block><block s="reifyReporter"><autolambda><block s="evaluate"><block var="process prediction"/><list><block s="reportListItem"><l>1</l><block var="predictions"/></block></list></block></autolambda><list><l>predictions</l></list></block><block var="process error"/></list></custom-block></script></block-definition><block-definition s="Load neural net from URL %&apos;URL&apos; $nl then when loaded %&apos;do when loaded&apos; $nl unless there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="185.71428571428572" collapsed="false">Loads a model previously saved using the interface on the &apos;tensorflow.js&apos; page which can be opened using the &apos;Open support panel ...&apos; block.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%cmdRing"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>load_tensorflow_model_from_URL</l><list><block var="URL"/><block var="do when loaded"/><block var="process error"/></list></custom-block></script></block-definition><block-definition s="Send %&apos;kind of data&apos; data input %&apos;input&apos; output %&apos;output&apos; $nl forget old data %&apos;ignore old data&apos; ( this is only for %&apos;model name&apos; ) $nl then when data has been received %&apos;do when finished&apos;" type="command" category="other"><comment x="0" y="0" w="282.14285714285717" collapsed="false">Sends either training or validation data to the support panel.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">training<options>training&#xD;validation</options></input><input type="%l"></input><input type="%l"></input><input type="%b">false</input><input type="%txt">all models</input><input type="%cs"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>send_data</l><list><block var="model name"/><block var="kind of data"/><block var="input"/><block var="output"/><block var="ignore old data"/><block var="do when finished"/></list></custom-block></script></block-definition><block-definition s="Get predictions from model %&apos;name&apos; with inputs %&apos;inputs&apos; $nl then %&apos;process predictions&apos; $nl or if there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="181.42857142857144" collapsed="false">Ask the trained model to make predictions for each value in &apos;inputs&apos;</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%l"></input><input type="%cmdRing"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>predictions_from_model</l><list><block var="name"/><block var="inputs"/><block var="process predictions"/><block var="process error"/></list></custom-block></script></block-definition><block-definition s="let %&apos;var&apos; be %&apos;value&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%s"></input></inputs><script><block s="doSetVar"><l>var</l><block var="value"/></block></script></block-definition><block-definition s="Create a neural net model %&apos;name&apos; (expert version) $nl with layers %&apos;layers&apos; $nl using optimizer %&apos;optimizer&apos; $nl with loss function %&apos;loss function&apos; $nl with activation function %&apos;activation function&apos; $nl with dropout rate %&apos;dropout rate&apos; $nl with input size %&apos;input size&apos; $nl then %&apos;do after model created&apos; $nl but if there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="280.7142857142857" collapsed="false">Creates a neural network with a &apos;name&apos; that is used in other blocks for training and prediction. &apos;Layers&apos; is a list of positive numbers determine the size of each layer. The &apos;optimizer&apos; is the name of the method that will be used during training. &apos;loss function&apos; is used to measure the difference between predictions and outputs during training. The &apos;activation function&apos; is applied after the weighted inputs are summed. &apos;dropout rate&apos; adds some noise to training that helps prevent overfitting to the training data.  &apos;Input size&apos; should be a number or a list of numbers that describes what the input dimensions are. You don&apos;t need to provide this if you have already sent or loaded training data.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%l"></input><input type="%txt" readonly="true">Stochastic Gradient Descent<options>Stochastic Gradient Descent&#xD;Adaptive Stochastic Gradient Descent&#xD;Adaptive Learning Rate Gradiant Descent&#xD;Adaptive Moment Estimation&#xD;Adaptive Moment Estimation Max&#xD;Momentum&#xD;Root Mean Squared Prop</options></input><input type="%txt" readonly="true">Mean Squared Error<options>Absolute Difference&#xD;Log Loss&#xD;Mean Squared Error</options></input><input type="%txt">relu<options>elu&#xD;hardSigmoid&#xD;linear&#xD;relu&#xD;relu6&#xD;selu&#xD;sigmoid&#xD;softmax&#xD;softplus&#xD;softsign&#xD;tanh</options></input><input type="%n">0.5</input><input type="%s"></input><input type="%cs"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>create_tensorflow_model</l><list><block var="name"/><block var="layers"/><block var="optimizer"/><block var="loss function"/><block var="input size"/><block var="do after model created"/><block var="process error"/><block var="activation function"/><block var="dropout rate"/></list></custom-block></script></block-definition><block-definition s="Train model named %&apos;name&apos; %&apos;n&apos; times unless no progress for %&apos;stop after&apos; cycles $nl with learning rate %&apos;learning rate&apos; $nl and shuffle the data %&apos;shuffle&apos; $nl and use %&apos;validation split&apos; of the data for validation $nl then when completed %&apos;process response&apos; $nl or if there is an error %&apos;process error&apos;" type="command" category="other"><comment x="0" y="0" w="267.14285714285717" collapsed="false">Train the model using &apos;n&apos; learning steps. If three is no progress for &apos;stop after&apos; cycles it will stop early. Each step will change weights by &apos;learning rate&apos;. If it is too big the learning will fail. If it is too small it will go very slowly. So that the learning doesn&apos;t rely upon the order of the data it can be &apos;shuffled&apos; each step. If validation data hasn&apos;t been created then an alternative is to use &apos;validation split&apos; fraction of the data for validation.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%b">true</input><input type="%n">0</input><input type="%cmdRing"></input><input type="%cmdRing"></input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>train_model</l><list><block var="name"/><block var="n"/><block var="learning rate"/><block var="shuffle"/><block var="validation split"/><block var="process response"/><block var="process error"/><block var="stop after"/></list></custom-block></script></block-definition><block-definition s="%&apos;best or worst&apos; configuration out of %&apos;n&apos;" type="command" category="other"><comment x="0" y="0" w="200" collapsed="false">Picks either the best or worst predicted rating of &apos;n&apos; trials.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">best or worst<options>best&#xD;worst&#xD;best or worst</options></input><input type="%n"></input></inputs><script><custom-block s="let %upvar be %s"><l>candidates</l><block s="reportNewList"><list></list></block></custom-block><block s="doRepeat"><block var="n"/><script><block s="doSetVar"><l>candidates</l><block s="reportCONS"><custom-block s="create configuration"></custom-block><block var="candidates"/></block></block></script></block><block s="doIfElse"><block s="reportGreaterThan"><block var="n"/><l>1</l></block><script><custom-block s="let %upvar be %s"><l>predictions</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="Get predictions from model %txt with inputs %l %br then %cmdRing %br or if there is an error %cmdRing"><l>noisy polygons</l><block var="candidates"/><block s="reifyScript"><script><block s="doSetVar"><l>predictions</l><l></l></block></script><list></list></block><block s="reifyScript"><script><block s="bubble"><l></l></block></script><list></list></block></custom-block><block s="doWaitUntil"><block s="reportIsA"><block var="predictions"/><l><option>list</option></l></block></block><block s="hide"></block><custom-block s="let %upvar be %s"><l>configuration prediction pairs</l><custom-block s="%upvar map %repRing over %mult%l"><l>#</l><block s="reifyReporter"><autolambda><block s="reportNewList"><list><l></l><block s="reportListItem"><block var="#"/><block var="predictions"/></block></list></block></autolambda><list></list></block><list><block var="candidates"/></list></custom-block></custom-block><custom-block s="let %upvar be %s"><l>sorted configuration prediction pairs</l><custom-block s="sort %l ordering with %predRing"><block var="configuration prediction pairs"/><block s="reifyPredicate"><autolambda><block s="reportGreaterThan"><block s="reportListItem"><l><option>last</option></l><l/></block><block s="reportListItem"><l><option>last</option></l><l/></block></block></autolambda><list></list></block></custom-block></custom-block><block s="doSetVar"><l>best or worst configuration prediction pair</l><block s="reportIfElse"><block s="reportOr"><block s="reportEquals"><block var="best or worst"/><l>best</l></block><block s="reportAnd"><block s="reportEquals"><block var="best or worst"/><l>best or worst</l></block><block s="reportEquals"><block s="reportRandom"><l>0</l><l>1</l></block><l>0</l></block></block></block><block s="reportListItem"><l>1</l><block var="sorted configuration prediction pairs"/></block><block s="reportListItem"><l><option>last</option></l><block var="sorted configuration prediction pairs"/></block></block></block><block s="doTellTo"><l>main</l><block s="reifyScript"><script><custom-block s="paint %l"><block s="reportListItem"><l>1</l><block var="best or worst configuration prediction pair"/></block></custom-block></script><list></list></block><list></list></block><block s="doSetVar"><l>after rating action</l><block s="reifyScript"><script><block s="up"></block><block s="gotoXY"><l>0</l><l>0</l></block><custom-block s="let %upvar be %s"><l>predicted rating</l><block s="reportListItem"><l><option>last</option></l><block var="best or worst configuration prediction pair"/></block></custom-block><block s="show"></block><block s="doSayFor"><block var="predicted rating"/><l>2</l></block><custom-block s="let %upvar be %s"><l>predicted rating truncated</l><block s="reportIfElse"><block s="reportGreaterThan"><block var="predicted rating"/><block var="number of stars"/></block><block s="reportSum"><block var="number of stars"/><l>.1</l></block><block s="reportIfElse"><block s="reportLessThan"><block var="predicted rating"/><l>1</l></block><l>.9</l><block var="predicted rating"/></block><comment w="118" collapsed="false">Ratings can go beyond 1 to n. This adjusts those outside the normal range.</comment></block></custom-block><custom-block s="let %upvar be %s"><l>disagreement</l><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="predicted rating truncated"/><block s="reportListItem"><l>1</l><block var="ratings"/></block></block></block></custom-block><block s="doIf"><block s="reportGreaterThan"><block var="disagreement"/><l>1</l></block><script><block s="doChangeVar"><l>disagreement count</l><l>1</l></block></script></block><block s="doSetVar"><l>disagreement score</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>100</l><block s="reportSum"><block var="disagreement"/><block var="disagreement score"/></block></block></block><l>100</l><comment w="152.9999999999999" collapsed="true">2 decimal places is enough</comment></block></block><custom-block s="rate %txt of %n candidates"><block var="best or worst"/><block var="n"/></custom-block></script><list></list></block></block></script><script><block s="hide"></block><block s="doSetVar"><l>after rating action</l><block s="reifyScript"><script><custom-block s="rate %txt of %n candidates"><block var="best or worst"/><block var="n"/></custom-block></script><list></list></block><comment w="189.9999999999999" collapsed="true">After rating made then go again..</comment></block><block s="doTellTo"><l>main</l><block s="reifyScript"><script><custom-block s="paint %l"><block s="reportListItem"><l>1</l><block var="candidates"/></block></custom-block></script><list></list></block><list></list><comment w="90" collapsed="true">Only candidate.</comment></block></script></block></script></block-definition><block-definition s="sort %&apos;data&apos; ordering with %&apos;function&apos;" type="reporter" category="lists"><comment x="0" y="0" w="161.14285714285708" collapsed="false">Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot.  For a list of numbers, using &lt; as the comparison function will sort from low to high; using &gt; will sort from high to low.</comment><header></header><code></code><translations>ca:ordena _ segons criteri _&#xD;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doDeclareVariables"><list><l>even items</l><l>odd items</l><l>merge</l><l>split</l><l>copy of data</l><l>id</l></list></block><block s="doSetVar"><l>id</l><block s="reifyScript"><script><block s="doReport"><l></l></block></script><list></list></block></block><block s="doSetVar"><l>copy of data</l><block s="reportMap"><block var="id"/><block var="data"/></block></block><block s="doSetVar"><l>split</l><block s="reifyScript"><script><block s="doSetVar"><l>even items</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>odd items</l><block s="reportNewList"><list></list></block></block><block s="doUntil"><block s="reportListIsEmpty"><block var="copy of data"/></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="odd items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block><block s="doIf"><block s="reportNot"><block s="reportListIsEmpty"><block var="copy of data"/></block></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="copy of data"/></block><block var="even items"/></block><block s="doDeleteFromList"><l>1</l><block var="copy of data"/></block></script></block></script></block></script><list></list></block></block><block s="doSetVar"><l>merge</l><block s="reifyScript"><script><block s="doIf"><block s="reportEquals"><block var="#1"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#2"/></block></script></block><block s="doIf"><block s="reportEquals"><block var="#2"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="#1"/></block></script></block><block s="doIfElse"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="reportListItem"><l>1</l><block var="#2"/></block></list></block><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#1"/></block><block s="evaluate"><block var="merge"/><list><block s="reportCDR"><block var="#1"/></block><block var="#2"/></list></block></block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="#2"/></block><block s="evaluate"><block var="merge"/><list><block var="#1"/><block s="reportCDR"><block var="#2"/></block></list></block></block></block></script></block></script><list><l>#1</l><l>#2</l></list></block></block><block s="doIf"><block s="reportEquals"><block var="data"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block s="reportCDR"><block var="data"/></block><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block var="data"/></block></script></block><block s="doRun"><block var="split"/><list></list></block><block s="doReport"><block s="evaluate"><block var="merge"/><list><custom-block s="sort %l ordering with %predRing"><block var="odd items"/><block var="function"/></custom-block><custom-block s="sort %l ordering with %predRing"><block var="even items"/><block var="function"/></custom-block></list></block></block></script></block-definition><block-definition s="%&apos;#&apos; map %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="225.00000000000003" collapsed="false">This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences:&#xD;&#xD;1.  The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on.  You read the variable in your function; don&apos;t set it.&#xD;&#xD;2.  You can provide more than one input list.  If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).</comment><header></header><code></code><translations>ca:_ mapeja _ sobre _&#xD;</translations><inputs><input type="%upvar"></input><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>mapone</l><l>mapmany</l></list></block><block s="doSetVar"><l>mapone</l><block s="reifyScript"><script><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doSetVar"><l>#</l><block var="count"/></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><list><block s="reportListItem"><l>1</l><block var="data"/></block></list></block><block s="evaluate"><block var="mapone"/><list><block s="reportCDR"><block var="data"/></block><block s="reportSum"><block var="count"/><l>1</l></block></list></block></block></block></script><list><l>data</l><l>count</l></list></block></block><block s="doSetVar"><l>mapmany</l><block s="reifyScript"><script><block s="doIf"><block s="reportListIsEmpty"><block s="reportListItem"><l>1</l><block var="data lists"/></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doSetVar"><l>#</l><block var="count"/></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><custom-block s="%upvar map %repRing over %mult%l"><l>#</l><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><list><block var="data lists"/></list></custom-block></block><block s="evaluate"><block var="mapmany"/><list><custom-block s="%upvar map %repRing over %mult%l"><l>#</l><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><list><block var="data lists"/></list></custom-block><block s="reportSum"><block var="count"/><l>1</l></block></list></block></block></block></script><list><l>data lists</l><l>count</l></list></block></block><block s="doIfElse"><block s="reportListIsEmpty"><block s="reportCDR"><block var="lists"/></block></block><script><block s="doReport"><block s="evaluate"><block var="mapone"/><list><block s="reportListItem"><l>1</l><block var="lists"/></block><l>1</l></list></block></block></script><script><block s="doReport"><block s="evaluate"><block var="mapmany"/><list><block var="lists"/><l>1</l></list></block></block></script></block></script></block></script></block-definition><block-definition s="rate %&apos;best or worst&apos; of %&apos;n&apos; candidates" type="command" category="other"><comment x="0" y="0" w="166" collapsed="false">Let&apos;s you add new ratings to the top or bottom of &apos;n&apos; trials. Randomly picks best or worst to display.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">best or worst<options>best&#xD;worst&#xD;best or worst</options></input><input type="%n">50</input></inputs><script><block s="doIf"><block s="reportGreaterThan"><block var="n"/><l>1</l></block><script><block s="doShowVar"><l>disagreement count</l></block><block s="doShowVar"><l>disagreement score</l></block></script></block><block s="doShowVar"><l>total rated</l></block><custom-block s="%txt configuration out of %n"><block var="best or worst"/><block var="n"/></custom-block></script></block-definition><block-definition s="create configuration" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="let %upvar be %s"><l>configuration</l><block s="reportNewList"><list></list></block></custom-block><block s="doRepeat"><l>12</l><script><block s="doAddToList"><block s="reportRandom"><l>.00001</l><l>1</l></block><block var="configuration"/></block></script></block><block s="doReport"><block var="configuration"/></block></script></block-definition><block-definition s="minimum step" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>100</l><block s="reportListItem"><l>1</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="maximum step" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>100</l><block s="reportListItem"><l>2</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="minimum turn" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportDifference"><block s="reportProduct"><l>180</l><block s="reportListItem"><l>3</l><block var="current configuration"/></block></block><l>90</l></block></block></script></block-definition><block-definition s="maximum turn" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportDifference"><block s="reportProduct"><l>180</l><block s="reportListItem"><l>4</l><block var="current configuration"/></block></block><l>90</l></block></block></script></block-definition><block-definition s="minimum red" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>5</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="maximum red" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>6</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="minimum pen size" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>20</l><block s="reportListItem"><l>11</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="maximum pen size" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>20</l><block s="reportListItem"><l>12</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="minimum green" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>6</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="maximum green" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>8</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="minimum blue" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>9</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="maximum blue" type="reporter" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportProduct"><l>255</l><block s="reportListItem"><l>10</l><block var="current configuration"/></block></block></block></script></block-definition><block-definition s="create star costume" type="reporter" category="looks"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="clear all"></custom-block><block s="setHeading"><l>0</l></block><block s="turn"><l>90</l></block><block s="doRepeat"><l>5</l><script><block s="setColor"><color>0,41,235,1</color></block><block s="setSize"><l>15</l></block><block s="forward"><l>60</l></block><block s="turn"><l>144</l></block><block s="doRepeat"><l>5</l><script><block s="setColor"><color>250,141,0,1</color></block><block s="setSize"><l>7</l></block><block s="forward"><l>60</l></block><block s="turn"><l>144</l></block></script></block></script></block><block s="doReport"><block s="reportPenTrailsAsCostume"></block></block></script></block-definition><block-definition s="Make %&apos;n&apos; stars" type="command" category="other"><comment x="0" y="0" w="190" collapsed="false">Create n stars as clones of myself.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doSetVar"><l>stars</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block var="n"/><script><custom-block s="let %upvar be %s"><l>star</l><block s="newClone"><l><option>myself</option></l></block></custom-block><block s="doTellTo"><block var="star"/><block s="reifyScript"><script><block s="doSetVar"><l>rating</l><block var="i"/></block><block s="doSwitchToCostume"><block var="star costume"/></block></script><list></list></block><list></list></block><block s="doAddToList"><block var="star"/><block var="stars"/></block></script></block></script></block-definition><block-definition s="Start learning %&apos;model name&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="show"></block><block s="doIfElse"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="configurations"/></block><l>0</l></block><script><block s="bubble"><l>Started.</l></block><custom-block s="Create a neural net model %txt (expert version) %br with layers %l %br using optimizer %txt %br with loss function %txt %br with activation function %txt %br with dropout rate %n %br with input size %s %br then %cs %br but if there is an error %cmdRing"><block var="model name"/><block s="reportNewList"><list><l>100</l><l>16</l><l>1</l></list></block><l>Adaptive Stochastic Gradient Descent</l><l>Mean Squared Error</l><l>relu</l><l>0.5</l><block s="reportListAttribute"><l><option>length</option></l><block var="current configuration"/></block><script><custom-block s="Send %txt data input %l output %l %br forget old data %b ( this is only for %txt ) %br then when data has been received %cs"><l>training</l><block var="configurations"/><block var="ratings"/><l><bool>true</bool></l><l>all models</l><script><block s="bubble"><l>Training started. Type &apos;i&apos; to watch the training. Then click the &apos;Return to Snap!&apos; button when finished.</l></block><custom-block s="Train model named %txt %n times unless no progress for %n cycles %br with learning rate %n %br and shuffle the data %b %br and use %n of the data for validation %br then when completed %cmdRing %br or if there is an error %cmdRing"><block var="model name"/><l>1000</l><l>100</l><l>.001</l><l><bool>true</bool></l><l>.25</l><block s="reifyScript"><script><block s="bubble"><l>Training finished. Ready to start rating. Type &apos;r&apos;.</l></block></script><list></list></block><block s="reifyScript"><script><block s="doThink"><l></l></block></script><list></list></block><comment w="357" collapsed="false">The training can be as long as 1000 steps (but will quit early if no progress for 100 steps). It learns a little each step (.001). The data is shuffled each time to avoid dependence upon the order. .75 of the data is used for training and the rest to evaluate how well it is doing. </comment></custom-block></script><comment w="423.00000099999994" collapsed="false">During training the configuations (the numbers controlling how the picture looks) is used as input and the ratings given by the user as the output.</comment></custom-block></script><block s="reifyScript"><script><block s="doThink"><l></l></block></script><list></list></block><comment w="425" collapsed="false">Create a model with 100 neurons connected to 16 neurons to 1 output neuron. Use optimizer, loss, and activation functions found to aid training. Dropout rate makes the result more general by randomly ignoring that fraction of neurons each cycle.</comment></custom-block></script><script><block s="bubble"><l>You need to rate some pictures before training.</l></block></script></block></script></block-definition><block-definition s="Search for a good model for %&apos;model name&apos; name" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="bubble"><l>Search started. You can watch it by typing &apos;i&apos;.</l></block><custom-block s="Search for good neural net model parameters for %txt perform %n experiments with each running %n training cycles %br and when each experiment finishes do %cmdRing %br then process best parameters %cmdRing %br but if there is an error %cmdRing"><block var="model name"/><l>10</l><l>1000</l><block s="reifyScript"><script><block s="doThink"><l></l></block></script><list></list></block><block s="reifyScript"><script><block s="doSetVar"><l>best parameters</l><l></l></block><block s="bubble"><block var="best parameters"/></block></script><list></list></block><block s="reifyScript"><script><block s="bubble"><l></l></block></script><list></list></block></custom-block></script></block-definition><block-definition s="Load pre-trained model" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="Load neural net from URL %txt %br then when loaded %cmdRing %br unless there is an error %cmdRing"><l>https://ecraft2learn.github.io/ai/noisy-polygons/noisy polygons.json</l><block s="reifyScript"><script><custom-block s="Send %txt data input %l output %l %br forget old data %b ( this is only for %txt ) %br then when data has been received %cs"><l>training</l><block var="configurations"/><block var="ratings"/><l><bool>true</bool></l><l>all models</l><script><block s="bubble"><l>Ready for prediction.</l></block></script></custom-block></script><list></list></block><block s="reifyScript"><script><block s="doThink"><l></l></block></script><list></list></block></custom-block></script></block-definition><block-definition s="Do additional learning %&apos;model name&apos;" type="command" category="other"><comment x="0" y="0" w="211.99999999999997" collapsed="false">Does additional training using both old ratings and those added since trained.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="show"></block><block s="bubble"><l>Started.</l></block><custom-block s="Send %txt data input %l output %l %br forget old data %b ( this is only for %txt ) %br then when data has been received %cs"><l>training</l><block var="configurations"/><block var="ratings"/><l><bool>true</bool></l><l>all models</l><script><block s="bubble"><l>Training resumed. Type &apos;i&apos; to watch the training. Then click the &apos;Return to Snap!&apos; button when finished.</l></block><custom-block s="Train model named %txt %n times unless no progress for %n cycles %br with learning rate %n %br and shuffle the data %b %br and use %n of the data for validation %br then when completed %cmdRing %br or if there is an error %cmdRing"><block var="model name"/><l>1000</l><l>100</l><l>.001</l><l><bool>true</bool></l><l>.25</l><block s="reifyScript"><script><block s="bubble"><l></l></block></script><list></list></block><block s="reifyScript"><script><block s="doThink"><l></l></block></script><list></list></block></custom-block></script></custom-block></script></block-definition><block-definition s="get stars" type="reporter" category="looks"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="stars"/></block><l><option>costume</option></l></block></block><script><block s="doTellTo"><l>star maker</l><block s="reifyScript"><script><custom-block s="Make %n stars"><block var="number of stars"/></custom-block></script><list></list></block><list></list></block></script></block><block s="doReport"><block var="stars"/></block></script></block-definition><block-definition s="Show help" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>noisy_polygon_help</l><list></list></custom-block></script></block-definition><block-definition s="Open this in a new tab" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>re_open_full_window</l><list></list></custom-block></script></block-definition><block-definition s="$brush set pen %&apos;dimension&apos; to %&apos;value&apos; %&apos;more value&apos;" type="command" category="pen"><comment x="0" y="0" w="265.3333333333333" collapsed="false">This block allows you to set the pen&apos;s color, transparency (on a scale from 0=opaque to 100=invisible), or size (in pixels).  The color can be set in many ways, including RGB values, HSV values, HSL values, fair HSV or HSL (based on a modified spectrum that gives each spectral color equal space and promotes brown to a color), color number, crayon, or X11/W3C color name.&#xD;&#xD;See Appendix A in the Snap! Reference Manual for details.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>color&#xD;color number&#xD;crayon&#xD;fair hue&#xD;&#126;1&#xD;size&#xD;transparency&#xD;X11/W3C name&#xD;&#126;2&#xD;(3D color spaces)={&#xD;fair HSL={&#xD;fair hue&#xD;fair saturation (HSL)&#xD;fair lightness&#xD;fair HSL vector&#xD;}&#xD;fair HSV={&#xD;fair hue&#xD;fair saturation (HSV)&#xD;fair value (brightness)&#xD;fair HSV vector&#xD;}&#xD;HSL={&#xD;hue&#xD;saturation (HSL)&#xD;lightness&#xD;HSL vector&#xD;}&#xD;HSV={&#xD;hue&#xD;saturation (HSV)&#xD;value (brightness)&#xD;HSV vector&#xD;}&#xD;RGB (0-255)={&#xD;red&#xD;green&#xD;blue&#xD;RGB(A) vector&#xD;RGB(A) hex&#xD;}&#xD;}</options></input><input type="%s"><options>§_ext_clr_numbers</options></input><input type="%mult%s"></input></inputs><script><custom-block s="✐ initialize variables"></custom-block><block s="doRun"><block s="reportAttributeOf"><block s="reportListItem"><block s="reportListIndex"><block var="dimension"/><block var="✐ dimension names"/></block><block var="✐ dimension dispatch"/></block><block s="reportGet"><l><option>self</option></l></block></block><list><block var="value"/><block var="more value"/></list></block></script><scripts><comment x="460.08886718749994" y="4175.599999999967" w="251.33333333333334" collapsed="false">Note to myself:  When the user sets a fair dimension, say fair HSL, variable HSL contains the corresponding &quot;unfair&quot; values, and &quot;raw HSL&quot; contains the numbers the user actually gave.  It has to be this way because in the case of HSV, there is no &quot;HSV&quot; variable; rather, we use the pen&apos;s actual remembered-by-Javascript color&apos;s HSV coordinates.  So our HSL variable has to be analogous to that.  In both cases &quot;raw&quot; means the numbers the user gave us.</comment></scripts></block-definition><block-definition s="mmap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block s="reportListItem"><l>1</l><block var="lists"/></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doReport"><block s="reportCONS"><block s="evaluate"><block var="function"/><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><block var="lists"/></block></block><custom-block s="mmap %repRing over %mult%l"><block var="function"/><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block var="lists"/></block></custom-block></block></block></script></block-definition><block-definition s="✐ update HSL" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>L</l></list></block><block s="doIf"><block s="reportNot"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block></block><script><block s="doSetVar"><l>✐ HSL</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l>100</l></block></autolambda><list></list></block><block s="evaluate"><block s="reifyReporter"><script><block s="doSetVar"><l>L</l><block s="reportDifference"><block var="V"/><block s="reportQuotient"><block s="reportProduct"><block var="V"/><block var="S"/></block><l>2</l></block></block></block><block s="doReport"><block s="reportNewList"><list><block var="H"/><block s="reportIfElse"><block s="reportOr"><block s="reportEquals"><block var="L"/><l>0</l></block><block s="reportEquals"><block var="L"/><l>1</l></block></block><l>0</l><block s="reportQuotient"><block s="reportDifference"><block var="V"/><block var="L"/></block><block s="reportMin"><block var="L"/><block s="reportDifference"><l>1</l><block var="L"/></block></block></block></block><block var="L"/></list></block></block></script><list><l>H</l><l>S</l><l>V</l></list></block><custom-block s="HSV color"></custom-block></block></block></block><block s="doSetVar"><l>✐ raw HSL</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l>100</l></block></autolambda><list></list></block><block s="evaluate"><block s="reifyReporter"><script><block s="doSetVar"><l>L</l><block s="reportDifference"><block var="V"/><block s="reportQuotient"><block s="reportProduct"><block var="V"/><block var="S"/></block><l>2</l></block></block></block><block s="doReport"><block s="reportNewList"><list><block var="H"/><block s="reportIfElse"><block s="reportOr"><block s="reportEquals"><block var="L"/><l>0</l></block><block s="reportEquals"><block var="L"/><l>1</l></block></block><l>0</l><block s="reportQuotient"><block s="reportDifference"><block var="V"/><block var="L"/></block><block s="reportMin"><block var="L"/><block s="reportDifference"><l>1</l><block var="L"/></block></block></block></block><block var="L"/></list></block></block></script><list><l>H</l><l>S</l><l>V</l></list></block><block s="reportIfElse"><block var="✐ fair?"/><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><l>100</l></block></autolambda><list></list></block><block var="✐ raw HSV"/></block><custom-block s="HSV color"></custom-block></block></block></block></block></script></block></script></block-definition><block-definition s="✐ update HSV" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>V</l><l>L</l><l>HSL 0-1</l><l>raw HSL 0-1</l></list></block><block s="doSetVar"><l>HSL 0-1</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><l>100</l></block></autolambda><list></list></block><block var="✐ HSL"/></block></block><block s="doSetVar"><l>L</l><block s="reportListItem"><l>3</l><block var="HSL 0-1"/></block></block><block s="doSetVar"><l>V</l><block s="reportSum"><block var="L"/><block s="reportProduct"><block s="reportListItem"><l>2</l><block var="HSL 0-1"/></block><block s="reportMin"><block var="L"/><block s="reportDifference"><l>1</l><block var="L"/></block></block></block></block></block><custom-block s="set pen color to h: %n s: %n v: %n"><block s="reportListItem"><l>1</l><block var="HSL 0-1"/></block><block s="reportIfElse"><block s="reportEquals"><block var="V"/><l>0</l></block><l>0</l><block s="reportDifference"><l>2</l><block s="reportProduct"><l>2</l><block s="reportQuotient"><block var="L"/><block var="V"/></block></block></block></block><block var="V"/></custom-block><block s="doIfElse"><block var="✐ fair?"/><script><block s="doSetVar"><l>raw HSL 0-1</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><l>100</l></block></autolambda><list></list></block><block var="✐ raw HSL"/></block></block><block s="doSetVar"><l>L</l><block s="reportListItem"><l>3</l><block var="raw HSL 0-1"/></block></block><block s="doSetVar"><l>V</l><block s="reportSum"><block var="L"/><block s="reportProduct"><block s="reportListItem"><l>2</l><block var="raw HSL 0-1"/></block><block s="reportMin"><block var="L"/><block s="reportDifference"><l>1</l><block var="L"/></block></block></block></block></block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l>100</l></block></autolambda><list></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="raw HSL 0-1"/></block><block s="reportIfElse"><block s="reportEquals"><block var="V"/><l>0</l></block><l>0</l><block s="reportDifference"><l>2</l><block s="reportProduct"><l>2</l><block s="reportQuotient"><block var="L"/><block var="V"/></block></block></block></block><block var="V"/></list></block></block></block></script><script><block s="doSetVar"><l>✐ raw HSV</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><l></l><l>100</l></block></autolambda><list></list></block><custom-block s="HSV color"></custom-block></block></block></script></block></script></block-definition><block-definition s="error %&apos;msg&apos;" type="command" category="control"><header></header><code></code><translations>pt:lança o erro _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doApplyExtension"><l>err_error(msg)</l><list><block var="msg"/></list></block></script></block-definition><block-definition s="✐ make integer RGB" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doRun"><block s="reifyScript"><script><custom-block s="set pen color to r: %n g: %n b: %n"><l></l><l></l><l></l></custom-block></script><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportRound"><l></l></block></autolambda><list></list></block><custom-block s="RGB color"></custom-block></block></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;action&apos;" type="command" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;pt:captura _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doRun"><block var="action"/><list></list></block></script><list><l>cont</l></list></block></block><custom-block s="ignore %s"><l>3</l></custom-block></script></block-definition><block-definition s="throw %&apos;cont&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _&#xD;ca:llança _&#xD;es:lanzar _&#xD;fr:lance _&#xD;pt:lança _&#xD;</translations><inputs><input type="%s">catchtag</input></inputs><script><block s="doRun"><block var="cont"/><list></list></block></script></block-definition><block-definition s="ignore %&apos;x&apos;" type="command" category="control"><header></header><code></code><translations>de:ignoriere _&#xD;ca:ignora _&#xD;es:ignorar _&#xD;fr:ignore _&#xD;pt:ignora _&#xD;</translations><inputs><input type="%s"></input></inputs></block-definition><block-definition s="✐ no spaces %&apos;text&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><block s="reportTextSplit"><block var="text"/><l> </l></block></block></block></script></block-definition><block-definition s="✐ set pen to crayon %&apos;which&apos; %&apos;more&apos;" type="command" category="pen"><comment x="0" y="0" w="297.3333333333333" collapsed="false">Sets the pen color &#xD;to one of 100 preselected colors, like a box of 100 crayons.&#xD;The colors have names that are meant to be evocative.&#xD;They are organized in families, more or less corresponding&#xD;to spectral (rainbow) colors; the input slot has a two-level menu&#xD;in which you can hover over a family name to see the colors&#xD;of that family, each including a crayon number and an RGB value. &#xD;See Appendix A of the Snap! Reference Manual for more details.</comment><header></header><code></code><translations></translations><inputs><input type="%s"><options>grays={&#xD;0 black #000000=0&#xD;1 gray7 #121212=1&#xD;2 gray14 #242424=2&#xD;3 gray21 #363636=3&#xD;4 gray28 #484848=4&#xD;5 gray36 #5c5c5c=5&#xD;6 gray43 #6d6d6d=6&#xD;7 gray50 #7f7f7f=7&#xD;8 gray57 #919191=8&#xD;9 gray64 #a3a3a3=9&#xD;10 gray71 #b5b5b5=10&#xD;11 gray78 #c8c8c8=11&#xD;12 gray85 #dadada=12&#xD;13 gray92 #ececec=13&#xD;14 white #ffffff=14&#xD;}&#xD;pinks={&#xD;15 deep pink #ff1493=15&#xD;16 hot pink #ff69b4=16&#xD;17 bright pink #ff007f=17&#xD;18 raspberry #e30b5d=18&#xD;19 amaranth #e52b50=19&#xD;}&#xD;reds={&#xD;20 red #ff0000=20&#xD;21 burgundy #900020=21&#xD;22 cherry #990000=22&#xD;23 dark candy apple red #a40000=23&#xD;24 sanguine #c00000=24&#xD;25 maroon #800000=25&#xD;26 crimson #c90016=26&#xD;27 Lists #d94d11=27&#xD;28 candy apple red #ff0800=28&#xD;29 coquelicot #ff3800=29&#xD;}&#xD;browns={&#xD;30 saddle brown #8b4513=30&#xD;31 chocolate #7b3f00=31&#xD;32 kobicha #6b4423=32&#xD;33 sepia #704214=33&#xD;34 chestnut #954535=34&#xD;35 dark brown #654321=35&#xD;36 brown #964b00=36&#xD;37 golden brown #996515=37&#xD;38 cinnamon #b87333=38&#xD;39 copper #d2691e=39&#xD;}&#xD;oranges={&#xD;40 orange #ff7f00=40&#xD;41 Pantone orange #ff5800=41&#xD;42 pumpkin #ff7518=42&#xD;43 Variables #f3761d=43&#xD;44 Spanish orange #e86100=44&#xD;45 burnt orange #cc5500=45&#xD;46 sinopia #cb410b=46&#xD;47 ochre #cc7722=47&#xD;48 carrot #ed9121=48&#xD;49 tangerine #f28500=49&#xD;}&#xD;yellows={&#xD;50 yellow #ffff00=50&#xD;51 Control #e6a822=51&#xD;52 dark goldenrod #b8860b=52&#xD;53 goldenrod #daa520=53&#xD;54 saffron #f4c430=54&#xD;55 sandstorm #ecd540=55&#xD;56 mustard #ffdb58=56&#xD;57 gold #ffd700=57&#xD;58 egg yolk #fee33e=58&#xD;59 rubber duck #fbe108=59&#xD;}&#xD;greens={&#xD;60 lime #00ff00=60&#xD;61 apple green #8db600=61&#xD;62 Operators #62c213=62&#xD;63 forest green #228b22=63&#xD;64 green #008000=64&#xD;65 dark green #006400=65&#xD;66 dark pastel green #03c03c=66&#xD;67 emerald #50c878=67&#xD;68 mint #3eb489=68&#xD;69 Pen #00a178=69&#xD;}&#xD;cyans={&#xD;70 aqua (cyan) #00ffff=70&#xD;71 dark cyan #008b8b=71&#xD;72 cerulean #007ba7=72&#xD;73 iceberg #71a6d2=73&#xD;74 Sensing #0494dc=74&#xD;75 teal #008080=75&#xD;76 light sky blue #87cefa=76&#xD;77 deep sky blue #00bfff=77&#xD;78 dodger blue #1e90ff=78&#xD;79 azure #007fff=79&#xD;}&#xD;blues={&#xD;80 blue #0000ff=80&#xD;81 midnight blue #191970=81&#xD;82 dark powder blue #003399=82&#xD;83 cobalt #0047ab=83&#xD;84 denim #1560bd=84&#xD;85 navy blue #000080=85&#xD;86 steel blue #4682b4=86&#xD;87 Motion #4a6cd4=87&#xD;88 cornflower #6495ed=88&#xD;89 slate blue #6a5acd=89&#xD;}&#xD;purples={&#xD;90 violet #8000ff=90&#xD;91 Looks #8f56e3=91&#xD;92 grape #6f2da8=92&#xD;93 indigo #4b0082=93&#xD;94 x11 purple #a020f0=94&#xD;95 magenta (fuchia) #ff00ff=95&#xD;96 dark orchid #9932cc=96&#xD;97 Sound #cf4ad9=97&#xD;98 purple #7f007f=98&#xD;99 dark magenta #8b008b=99&#xD;}</options></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>color</l></list></block><custom-block s="✐ initialize variables"></custom-block><block s="doIfElse"><block s="reportIsA"><block var="which"/><l><option>text</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block s="reportListItem"><l>4</l><l/></block><block var="which"/></block></autolambda><list></list></block><block var="✐ crayon colors"/></block></block><block s="doIfElse"><block s="reportNotEquals"><block var="color"/><l></l></block><script><block s="doSetVar"><l>✐ last crayon</l><block s="reportListItem"><l>5</l><block var="color"/></block></block></script><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>No such crayon: </l><block var="which"/></list></block></custom-block></script></block></script><script><block s="doSetVar"><l>color</l><block s="reportListItem"><block s="reportSum"><block s="reportModulus"><block var="which"/><l>100</l></block><l>1</l></block><block var="✐ crayon colors"/></block></block><block s="doSetVar"><l>✐ last crayon</l><block var="which"/></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>crayon</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="set pen color to r: %n g: %n b: %n"><block s="reportListItem"><l>1</l><block var="color"/></block><block s="reportListItem"><l>2</l><block var="color"/></block><block s="reportListItem"><l>3</l><block var="color"/></block></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="set pen color to r: %&apos;r&apos; g: %&apos;g&apos; b: %&apos;b&apos;" type="command" category="pen"><comment x="0" y="0" w="220.66666666666663" collapsed="false">Takes three inputs for red, green, and blue&#xD;values, each between 0 and 255.  0,0,0 is black; 255,255,255 is white.  255,255,0 is yellow, and so on.&#xD;&#xD;The SET PEN block in this library lets you set individual red, green, or blue without changing the others, lets you provide a list of three RGB color components, and lets you provide a six-digit hexadecimal number, the form in which RGB color values are usually found online.&#xD;&#xD;See Appendix A of the Snap! Reference Manual for details.</comment><header></header><code></code><translations>pt:altera a cor da tua caneta para vermelho _ , verde _ e azul _ (0 a 255)&#xD;</translations><inputs><input type="%n">255</input><input type="%n">0</input><input type="%n">0</input></inputs><script><block s="doApplyExtension"><l>clr_setpen(clr)</l><list><block s="reportApplyExtension"><l>clr_rgba(r, g, b, a)</l><list><block var="r"/><block var="g"/><block var="b"/><block s="reportApplyExtension"><l>clr_channel(clr, rgba)</l><list><block s="reportApplyExtension"><l>clr_pen</l><list></list></block><l>a</l></list></block></list></block></list></block></script></block-definition><block-definition s="set pen color to h: %&apos;h&apos; s: %&apos;s&apos; v: %&apos;v&apos;" type="command" category="pen"><comment x="0" y="0" w="283.3333333333333" collapsed="false">Takes three inputs for hue, saturation, and value (&quot;brightness&quot;)&#xD;values, each between 0 and 1.  0,0,0 is black; 0,0,1 is white.  0.15,1,1 is yellow, and so on.&#xD;&#xD;The SET PEN block in this library lets you set individual hue, saturation, or value without changing the others, lets you provide a list of three HSV color components, and lets you&#xD;use the very much superior HSL (hue, saturation, lightness)&#xD;color space.&#xD;&#xD;See Appendix A of the Snap! Reference Manual for details.</comment><header></header><code></code><translations>pt:altera a cor da caneta para matiz _ , saturação _ e brilho _ (0 a 1)&#xD;</translations><inputs><input type="%n">0.3</input><input type="%n">0.7</input><input type="%n">0.6</input></inputs><script><block s="doApplyExtension"><l>clr_setpen(clr)</l><list><block s="reportApplyExtension"><l>clr_hsv(h, s, v)</l><list><block var="h"/><block var="s"/><block var="v"/></list></block></list></block></script></block-definition><block-definition s="RGB color" type="reporter" category="pen"><comment x="0" y="0" w="266" collapsed="false">Reports the current pen color as a list of three RGB values in the range 0-255.  The PEN block in this library provides a large set of ways to examine the color.&#xD;&#xD;See Appendix A in the Snap! Reference Manual for details.</comment><header></header><code></code><translations>pt:a cor da caneta em RGB (vermelho, verde e azul; 0 a 255)&#xD;</translations><inputs></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>clr_channel(clr, rgba)</l><list><block s="reportApplyExtension"><l>clr_pen</l><list></list></block><l></l></list></block></autolambda><list></list></block><block s="reportNewList"><list><l>r</l><l>g</l><l>b</l></list></block></block></block></script></block-definition><block-definition s="HSV color" type="reporter" category="pen"><comment x="0" y="0" w="312" collapsed="false">Reports the current pen color as a list of three HSV values&#xD;in the range 0-1.&#xD;&#xD;See Appendix A in the Snap! Reference Manual for details.</comment><header></header><code></code><translations>pt:a cor da caneta em HSV (matiz, saturação e brilho, 0 a 1)&#xD;</translations><inputs></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>clr_hsv(clr)</l><list><block s="reportApplyExtension"><l>clr_pen</l><list></list></block></list></block></block></script></block-definition><block-definition s="✐ subset %&apos;pred&apos; %&apos;data&apos; %&apos;catchtag&apos; %&apos;result&apos; %&apos;set pen?&apos;" type="predicate" category="pen"><comment x="0" y="0" w="228" collapsed="false">Don&apos;t ask.&#xD;Only for internal use by the SET PEN block.</comment><header></header><code></code><translations></translations><inputs><input type="%predRing"></input><input type="%l"></input><input type="%cmdRing"></input><input type="%upvar"></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>best match</l></list></block><block s="doSetVar"><l>result</l><block s="reportKeep"><block var="pred"/><block var="data"/></block></block><block s="doIf"><block s="reportListIsEmpty"><block var="result"/></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doIf"><block s="reportListIsEmpty"><block s="reportCDR"><block var="result"/></block></block><script><block s="doSetVar"><l>best match</l><block s="reportListItem"><l>1</l><block var="result"/></block></block><block s="doIfElse"><block var="set pen?"/><script><custom-block s="$brush set pen %s to %s %mult%s"><l>red</l><block s="reportListItem"><l>1</l><block var="best match"/></block><list><l></l></list></custom-block><custom-block s="$brush set pen %s to %s %mult%s"><l>green</l><block s="reportListItem"><l>2</l><block var="best match"/></block><list><l></l></list></custom-block><custom-block s="$brush set pen %s to %s %mult%s"><l>blue</l><block s="reportListItem"><l>3</l><block var="best match"/></block><list><l></l></list></custom-block><block s="doSetVar"><l>✐ last X11</l><block s="reportListItem"><l>4</l><block var="best match"/></block></block><block s="doSetVar"><l>✐ last set as</l><l>X11</l></block><custom-block s="throw %s"><block var="catchtag"/></custom-block></script><script><block s="doSetVar"><l>✐ X11 catch</l><block s="reportListItem"><block s="reportNumbers"><l>1</l><l>3</l></block><block var="best match"/></block></block><custom-block s="throw %s"><block var="catchtag"/></custom-block></script></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block-definition><block-definition s="✐ initialize variables" type="command" category="pen"><comment x="0" y="0" w="180" collapsed="false">Creates a bunch of global variables.&#xD;For internal use by Color library.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doIf"><custom-block s="does var %s exist?"><l>✐ dimension names</l></custom-block><script><block s="doStopThis"><l><option>this block</option></l></block></script></block><custom-block s="create %s var %mult%txt"><l>global</l><list><l>✐ last set as</l><l>✐ fair?</l><l>✐ color scale</l><l>✐ HSL</l><l>✐ last crayon</l><l>✐ last X11</l><l>✐ raw HSL</l><l>✐ raw HSV</l><l>✐ X11</l><l>✐ crayon colors</l><l>✐ fair hue table</l><l>✐ colors</l><l>✐ brights</l><l>✐ pivots</l><l>✐ HSV brights</l><l>✐ HSL brights</l><l>✐ HSV colors</l><l>✐ HSL colors</l><l>✐ X11 catch</l><l>✐ dimension names</l><l>✐ dimension dispatch</l></list></custom-block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><l>0</l><l>100</l><l>100</l></list></block></block><block s="doSetVar"><l>✐ HSL</l><block s="reportNewList"><list><l>0</l><l>100</l><l>50</l></list></block></block><block s="doSetVar"><l>✐ raw HSL</l><block s="reportNewList"><list><l>0</l><l>100</l><l>50</l></list></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ X11"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ X11</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>255,250,250,snow&#xD;248,248,255,ghostwhite&#xD;245,245,245,whitesmoke&#xD;220,220,220,gainsboro&#xD;255,250,240,floralwhite&#xD;253,245,230,oldlace&#xD;250,240,230,linen&#xD;250,235,215,antiquewhite&#xD;255,239,213,papayawhip&#xD;255,235,205,blanchedalmond&#xD;255,228,196,bisque&#xD;255,218,185,peachpuff&#xD;255,222,173,navajowhite&#xD;255,228,181,moccasin&#xD;255,248,220,cornsilk&#xD;255,255,240,ivory&#xD;255,250,205,lemonchiffon&#xD;255,245,238,seashell&#xD;240,255,240,honeydew&#xD;245,255,250,mintcream&#xD;240,255,255,azure&#xD;240,248,255,aliceblue&#xD;230,230,250,lavender&#xD;255,240,245,lavenderblush&#xD;255,228,225,mistyrose&#xD;255,255,255,white&#xD;0,0,0,black&#xD;47,79,79,darkslategray&#xD;47,79,79,darkslategrey&#xD;105,105,105,dimgray&#xD;105,105,105,dimgrey&#xD;112,128,144,slategray&#xD;112,128,144,slategrey&#xD;119,136,153,lightslategray&#xD;119,136,153,lightslategrey&#xD;190,190,190,gray(X11)&#xD;190,190,190,grey(X11)&#xD;128,128,128,gray(W3C)&#xD;128,128,128,grey(W3C)&#xD;211,211,211,lightgrey&#xD;211,211,211,lightgray&#xD;25,25,112,midnightblue&#xD;0,0,128,navy&#xD;0,0,128,navyblue&#xD;100,149,237,cornflowerblue&#xD;72,61,139,darkslateblue&#xD;106,90,205,slateblue&#xD;123,104,238,mediumslateblue&#xD;132,112,255,lightslateblue&#xD;0,0,205,mediumblue&#xD;65,105,225,royalblue&#xD;0,0,255,blue&#xD;30,144,255,dodgerblue&#xD;0,191,255,deepskyblue&#xD;135,206,235,skyblue&#xD;135,206,250,lightskyblue&#xD;70,130,180,steelblue&#xD;176,196,222,lightsteelblue&#xD;173,216,230,lightblue&#xD;176,224,230,powderblue&#xD;175,238,238,paleturquoise&#xD;0,206,209,darkturquoise&#xD;72,209,204,mediumturquoise&#xD;64,224,208,turquoise&#xD;0,255,255,cyan&#xD;0,255,255,aqua&#xD;224,255,255,lightcyan&#xD;95,158,160,cadetblue&#xD;102,205,170,mediumaquamarine&#xD;127,255,212,aquamarine&#xD;0,100,0,darkgreen&#xD;85,107,47,darkolivegreen&#xD;143,188,143,darkseagreen&#xD;46,139,87,seagreen&#xD;60,179,113,mediumseagreen&#xD;32,178,170,lightseagreen&#xD;152,251,152,palegreen&#xD;0,255,127,springgreen&#xD;124,252,0,lawngreen&#xD;0,255,0,green(X11)&#xD;0,128,0,green(W3C)&#xD;0,255,0,lime&#xD;127,255,0,chartreuse&#xD;0,250,154,mediumspringgreen&#xD;173,255,47,greenyellow&#xD;50,205,50,limegreen&#xD;154,205,50,yellowgreen&#xD;34,139,34,forestgreen&#xD;107,142,35,olivedrab&#xD;189,183,107,darkkhaki&#xD;240,230,140,khaki&#xD;238,232,170,palegoldenrod&#xD;250,250,210,lightgoldenrodyellow&#xD;255,255,224,lightyellow&#xD;255,255,0,yellow&#xD;255,215,0,gold&#xD;238,221,130,lightgoldenrod&#xD;218,165,32,goldenrod&#xD;184,134,11,darkgoldenrod&#xD;188,143,143,rosybrown&#xD;205,92,92,indianred&#xD;139,69,19,saddlebrown&#xD;160,82,45,sienna&#xD;205,133,63,peru&#xD;222,184,135,burlywood&#xD;245,245,220,beige&#xD;245,222,179,wheat&#xD;244,164,96,sandybrown&#xD;210,180,140,tan&#xD;210,105,30,chocolate&#xD;178,34,34,firebrick&#xD;165,42,42,brown&#xD;233,150,122,darksalmon&#xD;250,128,114,salmon&#xD;255,160,122,lightsalmon&#xD;255,165,0,orange&#xD;255,140,0,darkorange&#xD;255,127,80,coral&#xD;240,128,128,lightcoral&#xD;255,99,71,tomato&#xD;255,69,0,orangered&#xD;255,0,0,red&#xD;255,105,180,hotpink&#xD;255,20,147,deeppink&#xD;255,192,203,pink&#xD;255,182,193,lightpink&#xD;219,112,147,palevioletred&#xD;176,48,96,maroon(X11)&#xD;128,0,0,maroon(W3C)&#xD;199,21,133,mediumvioletred&#xD;208,32,144,violetred&#xD;255,0,255,magenta&#xD;255,0,255,fuchsia&#xD;238,130,238,violet&#xD;221,160,221,plum&#xD;218,112,214,orchid&#xD;186,85,211,mediumorchid&#xD;153,50,204,darkorchid&#xD;148,0,211,darkviolet&#xD;138,43,226,blueviolet&#xD;160,32,240,purple(X11)&#xD;128,0,128,purple(W3C)&#xD;147,112,219,mediumpurple&#xD;216,191,216,thistle&#xD;255,250,250,snow1&#xD;238,233,233,snow2&#xD;205,201,201,snow3&#xD;139,137,137,snow4&#xD;255,245,238,seashell1&#xD;238,229,222,seashell2&#xD;205,197,191,seashell3&#xD;139,134,130,seashell4&#xD;255,239,219,AntiqueWhite1&#xD;238,223,204,AntiqueWhite2&#xD;205,192,176,AntiqueWhite3&#xD;139,131,120,AntiqueWhite4&#xD;255,228,196,bisque1&#xD;238,213,183,bisque2&#xD;205,183,158,bisque3&#xD;139,125,107,bisque4&#xD;255,218,185,PeachPuff1&#xD;238,203,173,PeachPuff2&#xD;205,175,149,PeachPuff3&#xD;139,119,101,PeachPuff4&#xD;255,222,173,NavajoWhite1&#xD;238,207,161,NavajoWhite2&#xD;205,179,139,NavajoWhite3&#xD;139,121,94,NavajoWhite4&#xD;255,250,205,LemonChiffon1&#xD;238,233,191,LemonChiffon2&#xD;205,201,165,LemonChiffon3&#xD;139,137,112,LemonChiffon4&#xD;255,248,220,cornsilk1&#xD;238,232,205,cornsilk2&#xD;205,200,177,cornsilk3&#xD;139,136,120,cornsilk4&#xD;255,255,240,ivory1&#xD;238,238,224,ivory2&#xD;205,205,193,ivory3&#xD;139,139,131,ivory4&#xD;240,255,240,honeydew1&#xD;224,238,224,honeydew2&#xD;193,205,193,honeydew3&#xD;131,139,131,honeydew4&#xD;255,240,245,LavenderBlush1&#xD;238,224,229,LavenderBlush2&#xD;205,193,197,LavenderBlush3&#xD;139,131,134,LavenderBlush4&#xD;255,228,225,MistyRose1&#xD;238,213,210,MistyRose2&#xD;205,183,181,MistyRose3&#xD;139,125,123,MistyRose4&#xD;240,255,255,azure1&#xD;224,238,238,azure2&#xD;193,205,205,azure3&#xD;131,139,139,azure4&#xD;131,111,255,SlateBlue1&#xD;122,103,238,SlateBlue2&#xD;105,89,205,SlateBlue3&#xD;71,60,139,SlateBlue4&#xD;72,118,255,RoyalBlue1&#xD;67,110,238,RoyalBlue2&#xD;58,95,205,RoyalBlue3&#xD;39,64,139,RoyalBlue4&#xD;0,0,255,blue1&#xD;0,0,238,blue2&#xD;0,0,205,blue3&#xD;0,0,139,blue4&#xD;30,144,255,DodgerBlue1&#xD;28,134,238,DodgerBlue2&#xD;24,116,205,DodgerBlue3&#xD;16,78,139,DodgerBlue4&#xD;99,184,255,SteelBlue1&#xD;92,172,238,SteelBlue2&#xD;79,148,205,SteelBlue3&#xD;54,100,139,SteelBlue4&#xD;0,191,255,DeepSkyBlue1&#xD;0,178,238,DeepSkyBlue2&#xD;0,154,205,DeepSkyBlue3&#xD;0,104,139,DeepSkyBlue4&#xD;135,206,255,SkyBlue1&#xD;126,192,238,SkyBlue2&#xD;108,166,205,SkyBlue3&#xD;74,112,139,SkyBlue4&#xD;176,226,255,LightSkyBlue1&#xD;164,211,238,LightSkyBlue2&#xD;141,182,205,LightSkyBlue3&#xD;96,123,139,LightSkyBlue4&#xD;198,226,255,SlateGray1&#xD;185,211,238,SlateGray2&#xD;159,182,205,SlateGray3&#xD;108,123,139,SlateGray4&#xD;202,225,255,LightSteelBlue1&#xD;188,210,238,LightSteelBlue2&#xD;162,181,205,LightSteelBlue3&#xD;110,123,139,LightSteelBlue4&#xD;191,239,255,LightBlue1&#xD;178,223,238,LightBlue2&#xD;154,192,205,LightBlue3&#xD;104,131,139,LightBlue4&#xD;224,255,255,LightCyan1&#xD;209,238,238,LightCyan2&#xD;180,205,205,LightCyan3&#xD;122,139,139,LightCyan4&#xD;187,255,255,PaleTurquoise1&#xD;174,238,238,PaleTurquoise2&#xD;150,205,205,PaleTurquoise3&#xD;102,139,139,PaleTurquoise4&#xD;152,245,255,CadetBlue1&#xD;142,229,238,CadetBlue2&#xD;122,197,205,CadetBlue3&#xD;83,134,139,CadetBlue4&#xD;0,245,255,turquoise1&#xD;0,229,238,turquoise2&#xD;0,197,205,turquoise3&#xD;0,134,139,turquoise4&#xD;0,255,255,cyan1&#xD;0,238,238,cyan2&#xD;0,205,205,cyan3&#xD;0,139,139,cyan4&#xD;151,255,255,DarkSlateGray1&#xD;141,238,238,DarkSlateGray2&#xD;121,205,205,DarkSlateGray3&#xD;82,139,139,DarkSlateGray4&#xD;127,255,212,aquamarine1&#xD;118,238,198,aquamarine2&#xD;102,205,170,aquamarine3&#xD;69,139,116,aquamarine4&#xD;193,255,193,DarkSeaGreen1&#xD;180,238,180,DarkSeaGreen2&#xD;155,205,155,DarkSeaGreen3&#xD;105,139,105,DarkSeaGreen4&#xD;84,255,159,SeaGreen1&#xD;78,238,148,SeaGreen2&#xD;67,205,128,SeaGreen3&#xD;46,139,87,SeaGreen4&#xD;154,255,154,PaleGreen1&#xD;144,238,144,PaleGreen2&#xD;124,205,124,PaleGreen3&#xD;84,139,84,PaleGreen4&#xD;0,255,127,SpringGreen1&#xD;0,238,118,SpringGreen2&#xD;0,205,102,SpringGreen3&#xD;0,139,69,SpringGreen4&#xD;0,255,0,green1&#xD;0,238,0,green2&#xD;0,205,0,green3&#xD;0,139,0,green4&#xD;127,255,0,chartreuse1&#xD;118,238,0,chartreuse2&#xD;102,205,0,chartreuse3&#xD;69,139,0,chartreuse4&#xD;192,255,62,OliveDrab1&#xD;179,238,58,OliveDrab2&#xD;154,205,50,OliveDrab3&#xD;105,139,34,OliveDrab4&#xD;202,255,112,DarkOliveGreen1&#xD;188,238,104,DarkOliveGreen2&#xD;162,205,90,DarkOliveGreen3&#xD;110,139,61,DarkOliveGreen4&#xD;255,246,143,khaki1&#xD;238,230,133,khaki2&#xD;205,198,115,khaki3&#xD;139,134,78,khaki4&#xD;255,236,139,LightGoldenrod1&#xD;238,220,130,LightGoldenrod2&#xD;205,190,112,LightGoldenrod3&#xD;139,129,76,LightGoldenrod4&#xD;255,255,224,LightYellow1&#xD;238,238,209,LightYellow2&#xD;205,205,180,LightYellow3&#xD;139,139,122,LightYellow4&#xD;255,255,0,yellow1&#xD;238,238,0,yellow2&#xD;205,205,0,yellow3&#xD;139,139,0,yellow4&#xD;255,215,0,gold1&#xD;238,201,0,gold2&#xD;205,173,0,gold3&#xD;139,117,0,gold4&#xD;255,193,37,goldenrod1&#xD;238,180,34,goldenrod2&#xD;205,155,29,goldenrod3&#xD;139,105,20,goldenrod4&#xD;255,185,15,DarkGoldenrod1&#xD;238,173,14,DarkGoldenrod2&#xD;205,149,12,DarkGoldenrod3&#xD;139,101,8,DarkGoldenrod4&#xD;255,193,193,RosyBrown1&#xD;238,180,180,RosyBrown2&#xD;205,155,155,RosyBrown3&#xD;139,105,105,RosyBrown4&#xD;255,106,106,IndianRed1&#xD;238,99,99,IndianRed2&#xD;205,85,85,IndianRed3&#xD;139,58,58,IndianRed4&#xD;255,130,71,sienna1&#xD;238,121,66,sienna2&#xD;205,104,57,sienna3&#xD;139,71,38,sienna4&#xD;255,211,155,burlywood1&#xD;238,197,145,burlywood2&#xD;205,170,125,burlywood3&#xD;139,115,85,burlywood4&#xD;255,231,186,wheat1&#xD;238,216,174,wheat2&#xD;205,186,150,wheat3&#xD;139,126,102,wheat4&#xD;255,165,79,tan1&#xD;238,154,73,tan2&#xD;205,133,63,tan3&#xD;139,90,43,tan4&#xD;255,127,36,chocolate1&#xD;238,118,33,chocolate2&#xD;205,102,29,chocolate3&#xD;139,69,19,chocolate4&#xD;255,48,48,firebrick1&#xD;238,44,44,firebrick2&#xD;205,38,38,firebrick3&#xD;139,26,26,firebrick4&#xD;255,64,64,brown1&#xD;238,59,59,brown2&#xD;205,51,51,brown3&#xD;139,35,35,brown4&#xD;255,140,105,salmon1&#xD;238,130,98,salmon2&#xD;205,112,84,salmon3&#xD;139,76,57,salmon4&#xD;255,160,122,LightSalmon1&#xD;238,149,114,LightSalmon2&#xD;205,129,98,LightSalmon3&#xD;139,87,66,LightSalmon4&#xD;255,165,0,orange1&#xD;238,154,0,orange2&#xD;205,133,0,orange3&#xD;139,90,0,orange4&#xD;255,127,0,DarkOrange1&#xD;238,118,0,DarkOrange2&#xD;205,102,0,DarkOrange3&#xD;139,69,0,DarkOrange4&#xD;255,114,86,coral1&#xD;238,106,80,coral2&#xD;205,91,69,coral3&#xD;139,62,47,coral4&#xD;255,99,71,tomato1&#xD;238,92,66,tomato2&#xD;205,79,57,tomato3&#xD;139,54,38,tomato4&#xD;255,69,0,OrangeRed1&#xD;238,64,0,OrangeRed2&#xD;205,55,0,OrangeRed3&#xD;139,37,0,OrangeRed4&#xD;255,0,0,red1&#xD;238,0,0,red2&#xD;205,0,0,red3&#xD;139,0,0,red4&#xD;255,20,147,DeepPink1&#xD;238,18,137,DeepPink2&#xD;205,16,118,DeepPink3&#xD;139,10,80,DeepPink4&#xD;255,110,180,HotPink1&#xD;238,106,167,HotPink2&#xD;205,96,144,HotPink3&#xD;139,58,98,HotPink4&#xD;255,181,197,pink1&#xD;238,169,184,pink2&#xD;205,145,158,pink3&#xD;139,99,108,pink4&#xD;255,174,185,LightPink1&#xD;238,162,173,LightPink2&#xD;205,140,149,LightPink3&#xD;139,95,101,LightPink4&#xD;255,130,171,PaleVioletRed1&#xD;238,121,159,PaleVioletRed2&#xD;205,104,137,PaleVioletRed3&#xD;139,71,93,PaleVioletRed4&#xD;255,52,179,maroon1&#xD;238,48,167,maroon2&#xD;205,41,144,maroon3&#xD;139,28,98,maroon4&#xD;255,62,150,VioletRed1&#xD;238,58,140,VioletRed2&#xD;205,50,120,VioletRed3&#xD;139,34,82,VioletRed4&#xD;255,0,255,magenta1&#xD;238,0,238,magenta2&#xD;205,0,205,magenta3&#xD;139,0,139,magenta4&#xD;255,131,250,orchid1&#xD;238,122,233,orchid2&#xD;205,105,201,orchid3&#xD;139,71,137,orchid4&#xD;255,187,255,plum1&#xD;238,174,238,plum2&#xD;205,150,205,plum3&#xD;139,102,139,plum4&#xD;224,102,255,MediumOrchid1&#xD;209,95,238,MediumOrchid2&#xD;180,82,205,MediumOrchid3&#xD;122,55,139,MediumOrchid4&#xD;191,62,255,DarkOrchid1&#xD;178,58,238,DarkOrchid2&#xD;154,50,205,DarkOrchid3&#xD;104,34,139,DarkOrchid4&#xD;155,48,255,purple1&#xD;145,44,238,purple2&#xD;125,38,205,purple3&#xD;85,26,139,purple4&#xD;171,130,255,MediumPurple1&#xD;159,121,238,MediumPurple2&#xD;137,104,205,MediumPurple3&#xD;93,71,139,MediumPurple4&#xD;255,225,255,thistle1&#xD;238,210,238,thistle2&#xD;205,181,205,thistle3&#xD;139,123,139,thistle4&#xD;0,0,0,gray0&#xD;0,0,0,grey0&#xD;3,3,3,gray1&#xD;3,3,3,grey1&#xD;5,5,5,gray2&#xD;5,5,5,grey2&#xD;8,8,8,gray3&#xD;8,8,8,grey3&#xD;10,10,10,gray4&#xD;10,10,10,grey4&#xD;13,13,13,gray5&#xD;13,13,13,grey5&#xD;15,15,15,gray6&#xD;15,15,15,grey6&#xD;18,18,18,gray7&#xD;18,18,18,grey7&#xD;20,20,20,gray8&#xD;20,20,20,grey8&#xD;23,23,23,gray9&#xD;23,23,23,grey9&#xD;26,26,26,gray10&#xD;26,26,26,grey10&#xD;28,28,28,gray11&#xD;28,28,28,grey11&#xD;31,31,31,gray12&#xD;31,31,31,grey12&#xD;33,33,33,gray13&#xD;33,33,33,grey13&#xD;36,36,36,gray14&#xD;36,36,36,grey14&#xD;38,38,38,gray15&#xD;38,38,38,grey15&#xD;41,41,41,gray16&#xD;41,41,41,grey16&#xD;43,43,43,gray17&#xD;43,43,43,grey17&#xD;46,46,46,gray18&#xD;46,46,46,grey18&#xD;48,48,48,gray19&#xD;48,48,48,grey19&#xD;51,51,51,gray20&#xD;51,51,51,grey20&#xD;54,54,54,gray21&#xD;54,54,54,grey21&#xD;56,56,56,gray22&#xD;56,56,56,grey22&#xD;59,59,59,gray23&#xD;59,59,59,grey23&#xD;61,61,61,gray24&#xD;61,61,61,grey24&#xD;64,64,64,gray25&#xD;64,64,64,grey25&#xD;66,66,66,gray26&#xD;66,66,66,grey26&#xD;69,69,69,gray27&#xD;69,69,69,grey27&#xD;71,71,71,gray28&#xD;71,71,71,grey28&#xD;74,74,74,gray29&#xD;74,74,74,grey29&#xD;77,77,77,gray30&#xD;77,77,77,grey30&#xD;79,79,79,gray31&#xD;79,79,79,grey31&#xD;82,82,82,gray32&#xD;82,82,82,grey32&#xD;84,84,84,gray33&#xD;84,84,84,grey33&#xD;87,87,87,gray34&#xD;87,87,87,grey34&#xD;89,89,89,gray35&#xD;89,89,89,grey35&#xD;92,92,92,gray36&#xD;92,92,92,grey36&#xD;94,94,94,gray37&#xD;94,94,94,grey37&#xD;97,97,97,gray38&#xD;97,97,97,grey38&#xD;99,99,99,gray39&#xD;99,99,99,grey39&#xD;102,102,102,gray40&#xD;102,102,102,grey40&#xD;105,105,105,gray41&#xD;105,105,105,grey41&#xD;107,107,107,gray42&#xD;107,107,107,grey42&#xD;110,110,110,gray43&#xD;110,110,110,grey43&#xD;112,112,112,gray44&#xD;112,112,112,grey44&#xD;115,115,115,gray45&#xD;115,115,115,grey45&#xD;117,117,117,gray46&#xD;117,117,117,grey46&#xD;120,120,120,gray47&#xD;120,120,120,grey47&#xD;122,122,122,gray48&#xD;122,122,122,grey48&#xD;125,125,125,gray49&#xD;125,125,125,grey49&#xD;127,127,127,gray50&#xD;127,127,127,grey50&#xD;130,130,130,gray51&#xD;130,130,130,grey51&#xD;133,133,133,gray52&#xD;133,133,133,grey52&#xD;135,135,135,gray53&#xD;135,135,135,grey53&#xD;138,138,138,gray54&#xD;138,138,138,grey54&#xD;140,140,140,gray55&#xD;140,140,140,grey55&#xD;143,143,143,gray56&#xD;143,143,143,grey56&#xD;145,145,145,gray57&#xD;145,145,145,grey57&#xD;148,148,148,gray58&#xD;148,148,148,grey58&#xD;150,150,150,gray59&#xD;150,150,150,grey59&#xD;153,153,153,gray60&#xD;153,153,153,grey60&#xD;156,156,156,gray61&#xD;156,156,156,grey61&#xD;158,158,158,gray62&#xD;158,158,158,grey62&#xD;161,161,161,gray63&#xD;161,161,161,grey63&#xD;163,163,163,gray64&#xD;163,163,163,grey64&#xD;166,166,166,gray65&#xD;166,166,166,grey65&#xD;168,168,168,gray66&#xD;168,168,168,grey66&#xD;171,171,171,gray67&#xD;171,171,171,grey67&#xD;173,173,173,gray68&#xD;173,173,173,grey68&#xD;176,176,176,gray69&#xD;176,176,176,grey69&#xD;179,179,179,gray70&#xD;179,179,179,grey70&#xD;181,181,181,gray71&#xD;181,181,181,grey71&#xD;184,184,184,gray72&#xD;184,184,184,grey72&#xD;186,186,186,gray73&#xD;186,186,186,grey73&#xD;189,189,189,gray74&#xD;189,189,189,grey74&#xD;191,191,191,gray75&#xD;191,191,191,grey75&#xD;194,194,194,gray76&#xD;194,194,194,grey76&#xD;196,196,196,gray77&#xD;196,196,196,grey77&#xD;199,199,199,gray78&#xD;199,199,199,grey78&#xD;201,201,201,gray79&#xD;201,201,201,grey79&#xD;204,204,204,gray80&#xD;204,204,204,grey80&#xD;207,207,207,gray81&#xD;207,207,207,grey81&#xD;209,209,209,gray82&#xD;209,209,209,grey82&#xD;212,212,212,gray83&#xD;212,212,212,grey83&#xD;214,214,214,gray84&#xD;214,214,214,grey84&#xD;217,217,217,gray85&#xD;217,217,217,grey85&#xD;219,219,219,gray86&#xD;219,219,219,grey86&#xD;222,222,222,gray87&#xD;222,222,222,grey87&#xD;224,224,224,gray88&#xD;224,224,224,grey88&#xD;227,227,227,gray89&#xD;227,227,227,grey89&#xD;229,229,229,gray90&#xD;229,229,229,grey90&#xD;232,232,232,gray91&#xD;232,232,232,grey91&#xD;235,235,235,gray92&#xD;235,235,235,grey92&#xD;237,237,237,gray93&#xD;237,237,237,grey93&#xD;240,240,240,gray94&#xD;240,240,240,grey94&#xD;242,242,242,gray95&#xD;242,242,242,grey95&#xD;245,245,245,gray96&#xD;245,245,245,grey96&#xD;247,247,247,gray97&#xD;247,247,247,grey97&#xD;250,250,250,gray98&#xD;250,250,250,grey98&#xD;252,252,252,gray99&#xD;252,252,252,grey99&#xD;255,255,255,gray100&#xD;255,255,255,grey100&#xD;169,169,169,darkgrey&#xD;169,169,169,darkgray&#xD;0,0,139,darkblue&#xD;0,139,139,darkcyan&#xD;139,0,139,darkmagenta&#xD;139,0,0,darkred&#xD;144,238,144,lightgreen</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ crayon colors"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ crayon colors</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>0,0,0,black,0&#xD;18,18,18,gray7,1&#xD;36,36,36,gray14,2&#xD;54,54,54,gray21,3&#xD;72,72,72,gray28,4&#xD;92,92,92,gray36,5&#xD;109,109,109,gray43,6&#xD;127,127,127,gray50,7&#xD;145,145,145,gray57,8&#xD;163,163,163,gray64,9&#xD;181,181,181,gray71,10&#xD;200,200,200,gray78,11&#xD;218,218,218,gray85,12&#xD;236,236,236,gray92,13&#xD;255,255,255,white,14&#xD;255,20,147,deep pink,15&#xD;255,105,180,hot pink,16&#xD;255,0,127,bright pink,17&#xD;227,11,93,raspberry,18&#xD;229,43,80,amaranth,19&#xD;255,0,0,red,20&#xD;144,0,32,burgundy,21&#xD;153,0,0,cherry,22&#xD;164,0,0,dark candy apple red,23&#xD;192,0,0,sanguine,24&#xD;128,0,0,maroon,25&#xD;201,0,22,crimson,26&#xD;217,77,17,Lists,27&#xD;255,8,0,candy apple red,28&#xD;255,56,0,coquelicot,29&#xD;139,69,19,saddle brown,30&#xD;123,63,0,chocolate,31&#xD;107,68,35,kobicha,32&#xD;112,66,20,sepia,33&#xD;149,69,53,chestnut,34&#xD;101,67,33,dark brown,35&#xD;150,75,0,brown,36&#xD;153,101,21,golden brown,37&#xD;184,115,51,cinnamon,38&#xD;210,105,30,copper,39&#xD;255,127,0,orange,40&#xD;255,88,0,Pantone orange,41&#xD;255,117,24,pumpkin,42&#xD;243,118,29,Variables,43&#xD;232,97,0,Spanish orange,44&#xD;204,85,0,burnt orange,45&#xD;203,65,11,sinopia,46&#xD;204,119,34,ochre,47&#xD;237,145,33,carrot,48&#xD;242,133,0,tangerine,49&#xD;255,255,0,yellow,50&#xD;230,168,34,Control,51&#xD;184,134,11,dark goldenrod,52&#xD;218,165,32,goldenrod,53&#xD;244,196,48,saffron,54&#xD;236,213,64,sandstorm,55&#xD;255,219,88,mustard,56&#xD;255,215,0,gold,57&#xD;254,227,62,egg yolk,58&#xD;251,225,8,rubber duck,59&#xD;0,255,0,lime,60&#xD;141,182,0,apple green,61&#xD;98,194,19,Operators,62&#xD;34,139,34,forest green,63&#xD;0,128,0,green,64&#xD;0,100,0,dark green,65&#xD;3,192,60,dark pastel green,66&#xD;80,200,120,emerald,67&#xD;62,180,137,mint,68&#xD;0,161,120,Pen,69&#xD;0,255,255,aqua,70&#xD;0,139,139,dark cyan,71&#xD;0,123,167,cerulean,72&#xD;113,166,210,iceberg,73&#xD;4,148,220,Sensing,74&#xD;0,128,128,teal,75&#xD;135,206,250,light sky blue,76&#xD;0,191,255,deep sky blue,77&#xD;30,144,255,dodger blue,78&#xD;0,127,255,azure,79&#xD;0,0,255,blue,80&#xD;25,25,112,midnight blue,81&#xD;0,51,153,dark powder blue,82&#xD;0,71,171,cobalt,83&#xD;21,96,189,denim,84&#xD;0,0,128,navy blue,85&#xD;70,130,180,steel blue,86&#xD;74,108,212,Motion,87&#xD;100,149,237,cornflower,88&#xD;106,90,205,slate blue,89&#xD;128,0,255,violet,90&#xD;143,86,227,Looks,91&#xD;111,45,168,grape,92&#xD;75,0,130,indigo,93&#xD;160,32,240,x11 purple,94&#xD;255,0,255,magenta,95&#xD;153,50,204,dark orchid,96&#xD;207,74,217,Sound,97&#xD;127,0,127,purple,98&#xD;139,0,139,dark magenta,99&#xD;0,255,255,cyan,100&#xD;255,0,255,fuchia,101&#xD;18,18,18,grey7,102&#xD;36,36,36,grey14,103&#xD;54,54,54,grey21,104&#xD;72,72,72,grey28,105&#xD;92,92,92,grey36,106&#xD;109,109,109,grey43,107&#xD;127,127,127,grey50,108&#xD;145,145,145,grey57,109&#xD;163,163,163,grey64,110&#xD;181,181,181,grey71,111&#xD;200,200,200,grey78,112&#xD;218,218,218,grey85,113&#xD;236,236,236,grey92,114</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ fair hue table"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ fair hue table</l><block s="reportTextSplit"><custom-block s="multiline 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s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ colors"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ colors</l><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>128</l><l>128</l><l>128</l></list></block><block s="reportNewList"><list><l>192</l><l>192</l><l>192</l></list></block><block s="reportNewList"><list><l>255</l><l>255</l><l>255</l></list></block><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>85</l><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>139</l><l>69</l><l>19</l></list></block><block s="reportNewList"><list><l>70</l><l>5</l><l>0</l></list></block><block s="reportNewList"><list><l>255</l><l>127</l><l>0</l></list></block><block s="reportNewList"><list><l>140</l><l>60</l><l>0</l></list></block><block s="reportNewList"><list><l>255</l><l>255</l><l>0</l></list></block><block s="reportNewList"><list><l>114</l><l>93</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>255</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>30</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>255</l><l>255</l></list></block><block s="reportNewList"><list><l>0</l><l>50</l><l>50</l></list></block><block s="reportNewList"><list><l>0</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>0</l><l>0</l><l>64</l></list></block><block s="reportNewList"><list><l>80</l><l>0</l><l>90</l></list></block><block s="reportNewList"><list><l>255</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ brights"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ brights</l><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>170</l><l>20</l><l>0</l></list></block><block s="reportNewList"><list><l>139</l><l>69</l><l>19</l></list></block><block s="reportNewList"><list><l>170</l><l>90</l><l>0</l></list></block><block s="reportNewList"><list><l>255</l><l>127</l><l>0</l></list></block><block s="reportNewList"><list><l>255</l><l>160</l><l>0</l></list></block><block s="reportNewList"><list><l>255</l><l>255</l><l>0</l></list></block><block s="reportNewList"><list><l>190</l><l>255</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>255</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>240</l><l>200</l></list></block><block s="reportNewList"><list><l>0</l><l>255</l><l>255</l></list></block><block s="reportNewList"><list><l>0</l><l>127</l><l>255</l></list></block><block s="reportNewList"><list><l>0</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>60</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>128</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>255</l><l>0</l><l>255</l></list></block><block s="reportNewList"><list><l>255</l><l>0</l><l>64</l></list></block><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ pivots"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ pivots</l><block s="reportNewList"><list><l>0</l><l>5.8</l><l>12.5</l><l>18</l><l>25</l><l>30.5</l><l>37.5</l><l>44.5</l><l>50</l><l>59</l><l>62.5</l><l>69</l><l>75</l><l>79.25</l><l>87.5</l><l>93.75</l><l>97</l><l>100</l></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ HSV brights"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ HSV brights</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>0,1,1&#xD;0.0196078431372549,1,0.6666666666666666&#xD;0.06944444444444443,0.8633093525179856,0.5450980392156862&#xD;0.08823529411764708,1,0.6666666666666666&#xD;0.08300653594771241,1,1&#xD;0.10457516339869281,1,1&#xD;0.16666666666666666,1,1&#xD;0.20915032679738563,1,1&#xD;0.3333333333333333,1,1&#xD;0.47222222222222227,1,0.9411764705882353&#xD;0.5,1,1&#xD;0.5836601307189543,1,1&#xD;0.6666666666666666,1,1&#xD;0.7058823529411765,1,1&#xD;0.7503267973856209,1,1&#xD;0.8333333333333334,1,1&#xD;0.9581699346405229,1,1&#xD;1,1,1</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ HSL brights"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ HSL brights</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>0,100,50&#xD;1.9607843137254901,100,33.33333333333333&#xD;6.944444444444444,75.94936708860757,30.980392156862745&#xD;8.823529411764708,100,33.33333333333333&#xD;8.30065359477124,100,50&#xD;10.457516339869281,100,50&#xD;16.666666666666664,100,50&#xD;20.915032679738562,100,50&#xD;33.33333333333333,100,50&#xD;47.22222222222223,100,50&#xD;50,100,50&#xD;58.36601307189543,100,50&#xD;66.66666666666666,100,50&#xD;70.58823529411765,100,50&#xD;75.0326797385621,100,50&#xD;83.33333333333334,100,50&#xD;95.81699346405229,100,50&#xD;100,100,50</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ HSV colors"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ HSV colors</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>0,0,0&#xD;0,0,50.19607843137255&#xD;0,0,75.29411764705883&#xD;0,0,100&#xD;0,100,100&#xD;0,100,33.33333333333333&#xD;6.944444444444444,86.33093525179856,54.509803921568626&#xD;1.1904761904761905,100,27.450980392156865&#xD;8.30065359477124,100,100&#xD;7.142857142857142,100,54.90196078431373&#xD;16.666666666666664,100,100&#xD;13.596491228070173,100,44.70588235294118&#xD;33.33333333333333,100,100&#xD;33.33333333333333,100,11.76470588235294&#xD;50,100,100&#xD;50,100,19.607843137254903&#xD;66.66666666666666,100,100&#xD;66.66666666666666,100,25.098039215686274&#xD;81.4814814814815,100,35.294117647058826&#xD;83.33333333333334,100,100&#xD;100,0,0</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ HSL colors"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ HSL colors</l><block s="reportTextSplit"><custom-block s="multiline %mlt"><l>0,0,0&#xD;0,0,50.19607843137255&#xD;0,0,75.29411764705883&#xD;0,0,100&#xD;0,100,50&#xD;0,100,16.666666666666664&#xD;6.944444444444444,75.94936708860757,30.980392156862745&#xD;1.1904761904761905,100,13.725490196078432&#xD;8.30065359477124,100,50&#xD;7.142857142857142,100,27.450980392156865&#xD;16.666666666666664,100,50&#xD;13.596491228070173,100,22.35294117647059&#xD;33.33333333333333,100,50&#xD;33.33333333333333,100,5.88235294117647&#xD;50,100,50&#xD;50,100,9.803921568627452&#xD;66.66666666666666,100,50&#xD;66.66666666666666,100,12.549019607843137&#xD;81.4814814814815,100,17.647058823529413&#xD;83.33333333333334,100,50&#xD;0,0,0</l></custom-block><l><option>csv</option></l></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ dimension names"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ dimension names</l><block s="reportNewList"><list><l>color</l><l>color number</l><l>crayon</l><l>fair hue</l><l>size</l><l>transparency</l><l>X11/W3C name</l><l>fair saturation (HSL)</l><l>fair lightness</l><l>fair HSL vector</l><l>fair saturation (HSV)</l><l>fair value (brightness)</l><l>fair HSV vector</l><l>hue</l><l>saturation (HSL)</l><l>lightness</l><l>HSL vector</l><l>saturation (HSV)</l><l>value (brightness)</l><l>HSV vector</l><l>red</l><l>green</l><l>blue</l><l>RGB(A) vector</l><l>RGB(A) hex</l></list></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="✐ dimension dispatch"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>✐ dimension dispatch</l><block s="reportNewList"><list><block s="reifyScript"><script><custom-block s="✐ set pen to color %obj %l"><l/><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to color number %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to crayon %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair hue %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen size to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen transparency to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to X11 name %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair saturation (HSL) %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair lightness %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair HSL vector %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair saturation (HSV) %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair value (brightness) %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to fair HSV vector %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to hue %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to HSL saturation %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to lightness %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to HSL vector %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen saturation (HSV) to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen value (brightness) to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to HSV vector %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen red to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen green to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen blue to %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to RGB vector %s %l"><l></l><l/></custom-block></script><list></list></block><block s="reifyScript"><script><custom-block s="✐ set pen to RGB hex %s %l"><l></l><l/></custom-block></script><list></list></block></list></block></block></script></block></script><scripts><script x="327.1142578125" y="21806.466666666656"><block s="reportTextSplit"><custom-block s="multiline %mlt"><l></l></custom-block><l><option>csv</option></l></block></script></scripts></block-definition><block-definition s="✐ set pen to fair hue %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>color</l><l>old value temp</l><l>index</l><l>scale</l><l>oldHSV</l><l>newHSV</l><l>trans</l></list></block><block s="doSetVar"><l>oldHSV</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><l>100</l><l></l></block></autolambda><list></list></block><custom-block s="HSV color"></custom-block></block></block><block s="doSetVar"><l>trans</l><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><block s="reportListItem"><l>1</l><block var="more"/></block><block s="getPenAttribute"><l><option>transparency</option></l></block></block></block><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportNewList"><list><l>HSL</l><l>HSV</l></list></block><block var="✐ last set as"/></block></block><script><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><l>0</l><l>100</l><l>100</l></list></block></block><block s="doSetVar"><l>oldHSV</l><block s="reportNewList"><list><l>0</l><l>100</l><l>100</l></list></block></block></script></block><block s="doSetVar"><l>value</l><block s="reportModulus"><block var="value"/><l>100</l></block></block><block s="doSetVar"><l>color</l><block s="reportProduct"><block var="value"/><l>3.6</l></block></block><block s="doSetVar"><l>index</l><l>1</l></block><block s="doUntil"><block s="reportGreaterThan"><block s="reportListItem"><block var="index"/><block var="✐ pivots"/></block><block var="value"/></block><script><block s="doChangeVar"><l>index</l><l>1</l></block></script></block><block s="doChangeVar"><l>index</l><l>-1</l></block><block s="doSetVar"><l>scale</l><block s="reportQuotient"><block s="reportDifference"><block var="value"/><block s="reportListItem"><block var="index"/><block var="✐ pivots"/></block></block><block s="reportDifference"><block s="reportListItem"><block s="reportSum"><block var="index"/><l>1</l></block><block var="✐ pivots"/></block><block s="reportListItem"><block var="index"/><block var="✐ pivots"/></block></block></block></block><block s="doRun"><block s="reifyScript"><script><custom-block s="set pen color to r: %n g: %n b: %n"><l></l><l></l><l></l></custom-block></script><list></list></block><custom-block s="mmap %repRing over %mult%l"><block s="reifyReporter"><autolambda><block s="reportMin"><block s="reportRound"><block s="reportSum"><block var="from"/><block s="reportProduct"><block s="reportDifference"><block var="to"/><block var="from"/></block><block var="scale"/></block></block></block><l>255</l></block></autolambda><list><l>from</l><l>to</l></list></block><list><block s="reportListItem"><block var="index"/><block var="✐ brights"/></block><block s="reportListItem"><block s="reportSum"><block var="index"/><l>1</l></block><block var="✐ brights"/></block></list></custom-block></block><block s="doSetVar"><l>newHSV</l><custom-block s="HSV color"></custom-block></block><block s="doIfElse"><block var="✐ fair?"/><script><custom-block s="set pen color to h: %n s: %n v: %n"><block s="reportListItem"><l>1</l><block var="newHSV"/></block><block s="reportQuotient"><block s="reportProduct"><block s="reportListItem"><l>2</l><block var="newHSV"/></block><block s="reportListItem"><l>2</l><block var="✐ raw HSV"/></block></block><l>100</l></block><block s="reportQuotient"><block s="reportProduct"><block s="reportListItem"><l>3</l><block var="newHSV"/></block><block s="reportListItem"><l>3</l><block var="✐ raw HSV"/></block></block><l>100</l></block></custom-block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>2</l><block var="✐ raw HSV"/></block><block s="reportListItem"><l>3</l><block var="✐ raw HSV"/></block></list></block></block></script><script><custom-block s="set pen color to h: %n s: %n v: %n"><block s="reportListItem"><l>1</l><block var="newHSV"/></block><block s="reportQuotient"><block s="reportProduct"><block s="reportListItem"><l>2</l><block var="newHSV"/></block><block s="reportListItem"><l>2</l><block var="oldHSV"/></block></block><l>100</l></block><block s="reportQuotient"><block s="reportProduct"><block s="reportListItem"><l>3</l><block var="newHSV"/></block><block s="reportListItem"><l>3</l><block var="oldHSV"/></block></block><l>100</l></block></custom-block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>2</l><block var="oldHSV"/></block><block s="reportListItem"><l>3</l><block var="oldHSV"/></block></list></block></block></script></block><block s="doIfElse"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block><script><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><custom-block s="✐ update HSL"></custom-block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block></script><script><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block></script></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="setPenColorDimension"><l><option>transparency</option></l><block var="trans"/></block><custom-block s="✐ make integer RGB"></custom-block></script></block-definition><block-definition s="✐ set pen to color number %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>colors</l><l>brights</l><l>index</l><l>scale</l><l>oldHSV</l><l>newHSV</l><l>color</l><l>pivots</l><l>old value temp</l></list></block><block s="doSetVar"><l>✐ color scale</l><block s="reportModulus"><block var="value"/><l>100</l></block></block><block s="doSetVar"><l>color</l><block s="reportProduct"><block var="value"/><l>3</l></block></block><block s="doIfElse"><block s="reportNot"><block s="reportGreaterThan"><block var="color"/><l>42</l></block></block><script><block s="doSetVar"><l>color</l><block s="reportModulus"><block s="reportProduct"><block var="color"/><block s="reportQuotient"><l>15</l><l>14</l></block></block><l>300</l></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="color"/><l>15</l></block></block></block><block s="doSetVar"><l>scale</l><block s="reportDifference"><block var="color"/><block s="reportProduct"><block var="index"/><l>15</l></block></block></block></script><script><block s="doIf"><block s="reportLessThan"><block var="color"/><l>60</l><comment w="96.66666666666669" collapsed="true">spread out pink</comment></block><script><block s="doSetVar"><l>color</l><block s="reportSum"><l>45</l><block s="reportProduct"><block s="reportDifference"><block var="color"/><l>42</l></block><block s="reportQuotient"><l>15</l><l>18</l></block></block></block></block></script></block><block s="doSetVar"><l>color</l><block s="reportModulus"><block var="color"/><l>300</l></block></block><block s="doSetVar"><l>index</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="color"/><l>15</l></block></block></block><block s="doSetVar"><l>scale</l><block s="reportDifference"><block var="color"/><block s="reportProduct"><block var="index"/><l>15</l></block></block></block></script><comment w="77.33333333333333" collapsed="true">grayscale</comment></block><block s="doRun"><block s="reifyScript"><script><custom-block s="set pen color to r: %n g: %n b: %n"><l></l><l></l><l></l></custom-block></script><list></list></block><custom-block s="mmap %repRing over %mult%l"><block s="reifyReporter"><autolambda><block s="reportMin"><block s="reportRound"><block s="reportSum"><block var="from"/><block s="reportProduct"><block s="reportDifference"><block var="to"/><block var="from"/></block><block s="reportQuotient"><block var="scale"/><l>15</l></block></block></block></block><l>255</l></block></autolambda><list><l>from</l><l>to</l></list></block><list><block s="reportListItem"><block s="reportSum"><block var="index"/><l>1</l></block><block var="✐ colors"/></block><block s="reportListItem"><block s="reportSum"><block var="index"/><l>2</l></block><block var="✐ colors"/></block></list></custom-block></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>color number</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>✐ raw HSL</l><block s="reportNewList"><list><block s="getPenAttribute"><l><option>hue</option></l></block><l>100</l><l>50</l></list></block></block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><block s="getPenAttribute"><l><option>hue</option></l></block><l>100</l><l>100</l></list></block></block></script></block-definition><block-definition s="✐ set pen to RGB hex %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportIsA"><l></l><l><option>number</option></l></block><l></l><block s="reportSum"><l>10</l><block s="reportDifference"><block s="reportUnicode"><l></l></block><block s="reportIfElse"><block s="reportLessThan"><l></l><l>a</l></block><block s="reportUnicode"><l>A</l></block><block s="reportUnicode"><l>a</l></block></block></block></block></block></autolambda><list></list></block><block s="reportTextSplit"><block var="value"/><l><option>letter</option></l></block></block></block><block s="doIf"><block s="reportEquals"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>3</l></block><script><block s="doSetVar"><l>value</l><block s="reportConcatenatedLists"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><l></l><l></l></list></block></autolambda><list></list></block><block var="value"/></block></block></block></script></block><block s="doIf"><block s="reportIsA"><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportOr"><block s="reportLessThan"><l></l><l>0</l></block><block s="reportGreaterThan"><l></l><l>15</l></block></block></autolambda><list></list></block><block var="value"/></block><l><option>number</option></l></block><script><custom-block s="error %txt"><l>Badly formed hex color.</l></custom-block></script></block><block s="doIf"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>8</l></block><script><custom-block s="error %txt"><l>More than eight hex digits.</l></custom-block></script></block><block s="doIf"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>6</l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportDifference"><l>100</l><block s="reportQuotient"><block s="reportProduct"><block s="reportSum"><block s="reportProduct"><l>16</l><block s="reportListItem"><l>7</l><block var="value"/></block></block><block s="reportListItem"><l>8</l><block var="value"/></block></block><l>100</l></block><l>255</l></block></block></block><block s="doSetVar"><l>value</l><block s="reportListItem"><block s="reportNumbers"><l>1</l><l>6</l></block><block var="value"/></block></block></script></block><block s="doRepeat"><block s="reportDifference"><l>6</l><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block></block><script><block s="doSetVar"><l>value</l><block s="reportCONS"><l>0</l><block var="value"/></block></block></script></block><custom-block s="set pen color to r: %n g: %n b: %n"><block s="reportSum"><block s="reportProduct"><l>16</l><block s="reportListItem"><l>1</l><block var="value"/></block></block><block s="reportListItem"><l>2</l><block var="value"/></block></block><block s="reportSum"><block s="reportProduct"><l>16</l><block s="reportListItem"><l>3</l><block var="value"/></block></block><block s="reportListItem"><l>4</l><block var="value"/></block></block><block s="reportSum"><block s="reportProduct"><l>16</l><block s="reportListItem"><l>5</l><block var="value"/></block></block><block s="reportListItem"><l>6</l><block var="value"/></block></block></custom-block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to X11 name %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><custom-block s="✐ no spaces %s"><block var="value"/></custom-block></block><custom-block s="use case-independent comparisons %b"><l><bool>true</bool></l></custom-block><custom-block s="catch %upvar %cs"><l>x11w3c</l><script><block s="doIf"><custom-block s="✐ subset %predRing %l %cmdRing %upvar %b"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block var="value"/><block s="reportListItem"><l>4</l><l/></block></block></autolambda><list></list></block><block var="✐ X11"/><block var="x11w3c"/><l>exact matches</l><l><bool>true</bool></l></custom-block><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>?? multiple exact matches for </l><block var="value"/></list></block></custom-block></script></block><block s="doIf"><block s="reportNot"><custom-block s="✐ subset %predRing %l %cmdRing %upvar %b"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportEquals"><block s="reportListItem"><l>4</l><l/></block><custom-block s="substring of %txt before %txt"><block s="reportListItem"><l>4</l><l/></block><block var="value"/></custom-block></block></block></autolambda><list></list></block><block var="✐ X11"/><block var="x11w3c"/><l>partial matches</l><l><bool>true</bool></l></custom-block></block><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Color name </l><block var="value"/><l> not found.</l></list></block></custom-block></script></block><block s="doIfElse"><custom-block s="✐ subset %predRing %l %cmdRing %upvar %b"><block s="reifyPredicate"><autolambda><block s="reportEquals"><custom-block s="substring of %txt before %txt"><block s="reportListItem"><l>4</l><block var="match"/></block><block var="value"/></custom-block><l></l></block></autolambda><list><l>match</l></list></block><block var="partial matches"/><block var="x11w3c"/><l>head matches</l><l><bool>true</bool></l></custom-block><script><block s="doIfElse"><custom-block s="✐ subset %predRing %l %cmdRing %upvar %b"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportIsA"><block s="reportLetter"><l><option>last</option></l><block s="reportListItem"><l>4</l><l/></block></block><l><option>number</option></l></block></block></autolambda><list></list></block><block var="head matches"/><block var="x11w3c"/><l>non-numbered matches</l><l><bool>true</bool></l></custom-block><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Multiple partial matches for </l><block var="value"/><l>: </l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>4</l><l/></block></autolambda><list></list></block><block var="non-numbered matches"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> , </l><l></l></list></block></autolambda><list></list></block></block></list></block></custom-block></script><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Multiple partial matches for </l><block var="value"/><l>: </l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>4</l><l/></block></autolambda><list></list></block><block var="head matches"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> , </l><l></l></list></block></autolambda><list></list></block></block></list></block></custom-block></script></block></script><script><block s="doIfElse"><custom-block s="✐ subset %predRing %l %cmdRing %upvar %b"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportIsA"><block s="reportLetter"><l><option>last</option></l><block s="reportListItem"><l>4</l><l/></block></block><l><option>number</option></l></block></block></autolambda><list></list></block><block var="partial matches"/><block var="x11w3c"/><l>non-numbered matches</l><l><bool>true</bool></l></custom-block><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Multiple partial matches for </l><block var="value"/><l>: </l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>4</l><l/></block></autolambda><list></list></block><block var="non-numbered matches"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> , </l><l></l></list></block></autolambda><list></list></block></block></list></block></custom-block></script><script><custom-block s="error %txt"><block s="reportJoinWords"><list><l>Multiple partial matches for </l><block var="value"/><l>: </l><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>4</l><l/></block></autolambda><list></list></block><block var="partial matches"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> , </l><l></l></list></block></autolambda><list></list></block></block></list></block></custom-block></script></block></script></block></script><comment w="294.6666666666667" collapsed="true">SUBSET throws here if it handles a unique match</comment></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to lightness %&apos;value&apos; %&apos;more value&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><custom-block s="✐ update HSL"></custom-block><block s="doIf"><block var="✐ fair?"/><script><block s="doSetVar"><l>✐ HSL</l><block var="✐ raw HSL"/></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block><block s="doReplaceInList"><l>3</l><block var="✐ HSL"/><block var="value"/></block><block s="doReplaceInList"><l>3</l><block var="✐ raw HSL"/><block var="value"/></block><custom-block s="✐ update HSV"></custom-block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more value"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more value"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to color %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%obj"></input><input type="%l"></input></inputs><script><block s="doApplyExtension"><l>clr_setpen(clr)</l><list><block s="reportApplyExtension"><l>clr_rgba(r, g, b, a)</l><block s="reportQuotient"><block s="reportListItem"><l>1</l><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="value"/></block></block><block s="reportNewList"><list><l>1</l><l>1</l><l>1</l><l>255</l></list></block></block></block></list></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="✐ set pen size to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="setSize"><block var="value"/></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen transparency to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="setPenColorDimension"><l><option>transparency</option></l><block var="value"/></block></script></block-definition><block-definition s="✐ set pen red to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>old rgb</l></list></block><block s="doSetVar"><l>old rgb</l><custom-block s="RGB color"></custom-block></block><custom-block s="set pen color to r: %n g: %n b: %n"><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>255</l></custom-block><block s="reportListItem"><l>2</l><block var="old rgb"/></block><block s="reportListItem"><l>3</l><block var="old rgb"/></block></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="✐ set pen green to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>old rgb</l></list></block><block s="doSetVar"><l>old rgb</l><custom-block s="RGB color"></custom-block></block><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>255</l></custom-block></block><custom-block s="set pen color to r: %n g: %n b: %n"><block s="reportListItem"><l>1</l><block var="old rgb"/></block><block var="value"/><block s="reportListItem"><l>3</l><block var="old rgb"/></block></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="✐ set pen blue to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>old rgb</l></list></block><block s="doSetVar"><l>old rgb</l><custom-block s="RGB color"></custom-block></block><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>255</l></custom-block></block><custom-block s="set pen color to r: %n g: %n b: %n"><block s="reportListItem"><l>1</l><block var="old rgb"/></block><block s="reportListItem"><l>2</l><block var="old rgb"/></block><block var="value"/></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="✐ constrain %&apos;value&apos; %&apos;low&apos; %&apos;high&apos;" type="reporter" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="doIf"><block s="reportLessThan"><block var="value"/><block var="low"/></block><script><block s="doReport"><block var="low"/></block></script></block><block s="doIf"><block s="reportGreaterThan"><block var="value"/><block var="high"/></block><script><block s="doReport"><block var="high"/></block></script></block><block s="doReport"><block s="reportSum"><block var="value"/><l>0</l></block></block></script></block-definition><block-definition s="✐ set pen to RGB vector %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="value"/><l><option>number</option></l></block><script><block s="doSetVar"><l>value</l><block s="reportCONS"><block var="value"/><block var="more"/></block></block><block s="doSetVar"><l>more</l><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>4</l><block var="value"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportDifference"><l>100</l><block s="reportQuotient"><block s="reportProduct"><block s="reportListItem"><l>4</l><block var="value"/></block><l>100</l></block><l>255</l></block></block></block></script></block><block s="doSetVar"><l>value</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="✐ constrain %s %s %s"><l></l><l>0</l><l>255</l></custom-block></autolambda><list></list></block><block var="value"/></block></block><block s="doRun"><block s="reifyScript"><script><custom-block s="set pen color to r: %n g: %n b: %n"><l></l><l></l><l></l></custom-block></script><list></list></block><block s="reportListItem"><block s="reportNumbers"><l>1</l><l>3</l></block><block var="value"/></block></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>RGB</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block-definition><block-definition s="✐ set pen to HSL saturation %&apos;value&apos; %&apos;more value&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><custom-block s="✐ update HSL"></custom-block><block s="doIf"><block var="✐ fair?"/><script><block s="doSetVar"><l>✐ HSL</l><block var="✐ raw HSL"/></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block><block s="doReplaceInList"><l>2</l><block var="✐ HSL"/><block var="value"/></block><block s="doReplaceInList"><l>2</l><block var="✐ raw HSL"/><block var="value"/></block><custom-block s="✐ update HSV"></custom-block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more value"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more value"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to HSL vector %&apos;value&apos; %&apos;more value&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="value"/><l><option>number</option></l></block><script><block s="doSetVar"><l>value</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>1</l><block var="more value"/></block><block s="reportListItem"><l>2</l><block var="more value"/></block></list></block></block><block s="doSetVar"><l>more value</l><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="more value"/></block></list></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block><block s="doSetVar"><l>✐ HSL</l><block s="reportCONS"><block s="reportModulus"><block s="reportListItem"><l>1</l><block var="value"/></block><l>100</l></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="✐ constrain %s %s %s"><l></l><l>0</l><l>100</l></custom-block></autolambda><list></list></block><block s="reportCDR"><block var="value"/></block></block></block></block><block s="doSetVar"><l>✐ raw HSL</l><block var="✐ HSL"/></block><custom-block s="✐ update HSV"></custom-block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more value"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more value"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen saturation (HSV) to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="setPenColorDimension"><l><option>saturation</option></l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doReplaceInList"><l>2</l><block var="✐ raw HSV"/><block s="getPenAttribute"><l><option>saturation</option></l></block></block><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen value (brightness) to %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="setPenColorDimension"><l><option>brightness</option></l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doReplaceInList"><l>3</l><block var="✐ raw HSV"/><block s="getPenAttribute"><l><option>brightness</option></l></block></block><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to HSV vector %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="value"/><l><option>number</option></l></block><script><block s="doSetVar"><l>value</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>1</l><block var="more"/></block><block s="reportListItem"><l>2</l><block var="more"/></block></list></block></block><block s="doSetVar"><l>more value</l><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="more"/></block></list></block></block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>✐ raw HSV</l><block s="reportListItem"><block s="reportNumbers"><l>1</l><l>3</l></block><block var="value"/></block></block><block s="doRun"><block s="reifyScript"><script><custom-block s="set pen color to h: %n s: %n v: %n"><l></l><l></l><l></l></custom-block></script><list></list></block><block s="reportQuotient"><block var="✐ raw HSV"/><l>100</l></block></block><block s="doIf"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>3</l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>4</l><block var="value"/></block></block></script></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to hue %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportNewList"><list><l>HSL</l><l>HSV</l></list></block><block var="✐ last set as"/></block></block><script><block s="doSetVar"><l>✐ raw HSV</l><block s="reportNewList"><list><l>0</l><l>100</l><l>100</l></list></block></block></script></block><block s="setPenColorDimension"><l><option>hue</option></l><block s="reportModulus"><block var="value"/><l>100</l></block></block><block s="doIf"><block var="✐ fair?"><comment w="118" collapsed="true">if USED TO BE fair</comment></block><script><custom-block s="set pen color to h: %n s: %n v: %n"><block s="reportQuotient"><block s="reportModulus"><block var="value"/><l>100</l></block><l>100</l></block><block s="reportQuotient"><block s="reportListItem"><l>2</l><block var="✐ raw HSV"/></block><l>100</l></block><block s="reportQuotient"><block s="reportListItem"><l>3</l><block var="✐ raw HSV"/></block><l>100</l></block></custom-block></script></block><block s="doIfElse"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block><script><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><custom-block s="✐ update HSL"></custom-block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block></script><script><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block></script></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block><custom-block s="✐ make integer RGB"></custom-block></script></block-definition><block-definition s="✐ set pen to fair saturation (HSL) %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>color</l><l>newHSV</l><l>index</l><l>scale</l><l>oldHSV</l></list></block><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block></block><script><custom-block s="✐ update HSL"></custom-block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block><block s="doReplaceInList"><l>2</l><block var="✐ HSL"/><block s="reportIfElse"><block var="✐ fair?"/><block s="reportProduct"><block var="value"/><block s="reportQuotient"><block s="reportListItem"><l>2</l><block var="✐ HSL"/></block><block s="reportListItem"><l>2</l><block var="✐ raw HSL"/></block></block></block><block var="value"/></block></block><block s="doReplaceInList"><l>2</l><block var="✐ raw HSL"/><block var="value"/></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="✐ update HSV"></custom-block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to fair lightness %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>color</l><l>newHSV</l><l>index</l><l>scale</l><l>oldHSV</l></list></block><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block></block><script><custom-block s="✐ update HSL"></custom-block></script></block><block s="doSetVar"><l>✐ last set as</l><l>HSL</l></block><block s="doReplaceInList"><l>3</l><block var="✐ HSL"/><block s="reportIfElse"><block var="✐ fair?"/><block s="reportProduct"><block var="value"/><block s="reportQuotient"><block s="reportListItem"><l>3</l><block var="✐ HSL"/></block><block s="reportListItem"><l>3</l><block var="✐ raw HSL"/></block></block></block><block var="value"/></block></block><block s="doReplaceInList"><l>3</l><block var="✐ raw HSL"/><block var="value"/></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="✐ update HSV"></custom-block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to fair HSL vector %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="value"/><l><option>number</option></l></block><script><block s="doSetVar"><l>value</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>1</l><block var="more"/></block><block s="reportListItem"><l>2</l><block var="more"/></block></list></block></block><block s="doSetVar"><l>more</l><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="more"/></block></list></block></block></script></block><custom-block s="✐ set pen to fair saturation (HSL) %s %l"><block s="reportListItem"><l>2</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><custom-block s="✐ set pen to fair lightness %s %l"><block s="reportListItem"><l>3</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><custom-block s="✐ set pen to fair hue %s %l"><block s="reportListItem"><l>1</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><block s="doIfElse"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>3</l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>4</l><block var="value"/></block></block></script><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block></script></block-definition><block-definition s="✐ set pen to fair saturation (HSV) %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doIf"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block><script><custom-block s="✐ update HSV"></custom-block></script></block><block s="setPenColorDimension"><l><option>saturation</option></l><block s="reportIfElse"><block var="✐ fair?"/><block s="reportProduct"><block var="value"/><block s="reportQuotient"><block s="getPenAttribute"><l><option>saturation</option></l></block><block s="reportListItem"><l>2</l><block var="✐ raw HSV"/></block></block></block><block var="value"/></block></block><block s="doReplaceInList"><l>2</l><block var="✐ raw HSV"/><block var="value"/></block><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to fair value (brightness) %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doSetVar"><l>value</l><custom-block s="✐ constrain %s %s %s"><block var="value"/><l>0</l><l>100</l></custom-block></block><block s="doIf"><block s="reportEquals"><block var="✐ last set as"/><l>HSL</l></block><script><custom-block s="✐ update HSV"></custom-block></script></block><block s="setPenColorDimension"><l><option>brightness</option></l><block s="reportIfElse"><block var="✐ fair?"/><block s="reportProduct"><block var="value"/><block s="reportQuotient"><block s="getPenAttribute"><l><option>brightness</option></l></block><block s="reportListItem"><l>3</l><block var="✐ raw HSV"/></block></block></block><block var="value"/></block></block><block s="doReplaceInList"><l>3</l><block var="✐ raw HSV"/><block var="value"/></block><block s="doSetVar"><l>✐ last set as</l><l>HSV</l></block><block s="doSetVar"><l>✐ fair?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="✐ make integer RGB"></custom-block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="✐ set pen to fair HSV vector %&apos;value&apos; %&apos;more&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="value"/><l><option>number</option></l></block><script><block s="doSetVar"><l>value</l><block s="reportNewList"><list><block var="value"/><block s="reportListItem"><l>1</l><block var="more"/></block><block s="reportListItem"><l>2</l><block var="more"/></block></list></block></block><block s="doSetVar"><l>more</l><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="more"/></block></list></block></block></script></block><custom-block s="✐ set pen to fair saturation (HSV) %s %l"><block s="reportListItem"><l>2</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><custom-block s="✐ set pen to fair value (brightness) %s %l"><block s="reportListItem"><l>3</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><custom-block s="✐ set pen to fair hue %s %l"><block s="reportListItem"><l>1</l><block var="value"/></block><block s="reportNewList"><list></list></block></custom-block><block s="doIf"><block s="reportGreaterThan"><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>3</l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>4</l><block var="value"/></block></block></script></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="more"/></block><l><option>number</option></l></block><script><block s="setPenColorDimension"><l><option>transparency</option></l><block s="reportListItem"><l>1</l><block var="more"/></block></block></script></block></script></block-definition><block-definition s="multiline %&apos;text&apos;" type="reporter" category="operators"><header></header><code></code><translations>pt:o texto multilinha _&#xD;</translations><inputs><input type="%mlt"></input></inputs><script><block s="doReport"><block var="text"/></block></script></block-definition><block-definition s="substring of %&apos;string&apos; before %&apos;marker&apos;" type="reporter" category="operators"><comment x="0" y="0" w="175.33333333333334" collapsed="false">Reports the part of the first string up to the first instance of the second string inside it.  If the second string isn&apos;t found, reports the entire first string.</comment><header></header><code></code><translations>pt:o texto de _ antes de _&#xD;</translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doDeclareVariables"><list><l>index</l></list></block><block s="doSetVar"><l>index</l><custom-block s="position of %s in %txt"><block var="marker"/><block var="string"/></custom-block></block><block s="doReport"><block s="reportIfElse"><block s="reportEquals"><block var="index"/><l>0</l></block><block var="string"/><custom-block s="substring of %txt from position %n to position %n inclusive"><block var="string"/><l>1</l><block s="reportDifference"><block var="index"/><l>1</l></block></custom-block></block></block></script></block-definition><block-definition s="position of %&apos;small&apos; in %&apos;large&apos;" type="reporter" category="operators"><comment x="0" y="0" w="294" collapsed="false">Reports the character position (starting from 1) of the beginning of the first input string inside the second input string.&#xD;If it&apos;s not found, reports 0.</comment><header></header><code></code><translations>pt:a posição de _ em _&#xD;</translations><inputs><input type="%s"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportIfElse"><custom-block s="use case-independent comparison"></custom-block><block s="reportApplyExtension"><l>txt_indexof(sub, txt)</l><list><custom-block s="to lower case %txt"><block var="small"/></custom-block><custom-block s="to lower case %txt"><block var="large"/></custom-block></list></block><block s="reportApplyExtension"><l>txt_indexof(sub, txt)</l><list><block var="small"/><block var="large"/></list></block></block></block></script></block-definition><block-definition s="use case-independent comparisons %&apos;tf&apos;" type="command" category="operators"><comment x="0" y="0" w="225.33333333333334" collapsed="false">If input is TRUE, comparisons made by functions in the string library will be case-independent (so &quot;FOO&quot; = &quot;foo&quot;).  This is the default.&#xD;If input is FALSE, comparisons will be exact.</comment><header></header><code></code><translations>pt:altera comparações ignorando distinção minúsculas/maiúsculas para _&#xD;</translations><inputs><input type="%b"></input></inputs><script><block s="doIfElse"><block s="reportNot"><block var="tf"/></block><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><l>global</l><l>_case indepent</l></list></block><block s="doApplyExtension"><l>var_set(name, val)</l><list><l>_case indepent</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block></script><script><block s="doApplyExtension"><l>var_delete(name)</l><list><l>_case indepent</l></list></block></script></block></script></block-definition><block-definition s="substring of %&apos;str&apos; from position %&apos;start&apos; to position %&apos;end&apos; inclusive" type="reporter" category="operators"><comment x="0" y="0" w="297.3333333333333" collapsed="false">Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1).  If the third input is empty, reports the portion from the first position to the end of the string.&#xD;If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.</comment><header></header><code></code><translations>pt:o texto de _ entre as posições _ e _ , inclusive&#xD;</translations><inputs><input type="%txt"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><block s="reportLetter"><block s="reportNumbers"><block var="start"/><block s="reportIfElse"><block s="reportEquals"><block var="end"/><l>0</l></block><block s="reportStringSize"><block var="str"/></block><block var="end"/></block></block><block var="str"/></block></block></block></script></block-definition><block-definition s="to lower case %&apos;text&apos;" type="reporter" category="operators"><comment x="0" y="0" w="275.3333333333333" collapsed="false">Reports the input text with lower case letters instead of capital letters in the input.  Uses the user&apos;s locale&apos;s rules for case conversion.</comment><header></header><code></code><translations>pt:em minúsculas _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>txt_lowercase(txt)</l><list><block var="text"/></list></block></block></script></block-definition><block-definition s="use case-independent comparison" type="predicate" category="sensing"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doApplyExtension"><l>err_try(cmd, catch, err)</l><list><block s="reifyScript"><script><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>var_get(name)</l><list><l>_case indepent</l></list></block></block></script><list></list></block><block s="reifyScript"><script><block s="doSetVar"><l>result</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><l></l></list></block><block s="doApplyExtension"><l>err_reset</l><list></list></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="create %&apos;_scope&apos; var %&apos;_names&apos;" type="command" category="variables"><comment x="0" y="0" w="146" collapsed="false">This block creates  new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in &apos;names&apos; list).&#xD;&#xD;If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.</comment><header></header><code></code><translations>pt:cria as variáveis _ _&#xD;ca:crea les _ variables _&#xD;es:crear las _ variables _&#xD;de:erstellen _ var _&#xD;</translations><inputs><input type="%s" readonly="true">global<options>global&#xD;sprite&#xD;script</options></input><input type="%mult%txt"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>_item</l><block var="_names"/><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><block var="_scope"/><block var="_item"/></list></block></script></block></script></block></script></block-definition><block-definition s="does var %&apos;_name&apos; exist?" type="predicate" category="variables"><comment x="0" y="0" w="146" collapsed="false">This block reports &quot;true&quot; if there is a variable with this given name (input slot) in that context.&#xD;&#xD;It can be a global, sprite or script variable.&#xD;&#xD;Otherwise it reports &quot;false&quot;.</comment><header></header><code></code><translations>pt:a variável _ existe&#xD;ca:existeix la variable _ ?&#xD;es:existe la variable _ ?&#xD;de:existiert var _ ?&#xD;</translations><inputs><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>err_try(cmd, catch, err)</l><list><block s="reifyScript"><script><block s="doApplyExtension"><l>err_ignore</l><list><block s="reportApplyExtension"><l>var_get(name)</l><list><block var="_name"/></list></block></list></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="reifyScript"><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><l></l></list></block><block s="doApplyExtension"><l>err_reset</l><list></list></block></script></block-definition><block-definition s="label %&apos;text&apos; of size %&apos;size&apos;" type="command" category="pen"><comment x="0" y="0" w="90" collapsed="false">LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.</comment><header></header><code></code><translations>de:drucke _ in Größe _&#xD;</translations><inputs><input type="%txt">Hello!</input><input type="%n">12</input></inputs><script><custom-block s="run eCraft2Learn command %txt with %mult%s"><l>label_of_size</l><list><block var="text"/><block var="size"/></list></custom-block></script><scripts><script x="152.14285714285714" y="80.59523809523814"><block s="doRun"><block s="reportJSFunction"><list><l>text</l><l>size</l></list><l>var stage = this.parentThatIsA(StageMorph),&#xD;    context = stage.penTrails().getContext(&apos;2d&apos;),&#xD;    rotation = radians(this.direction() - 90),&#xD;    trans = new Point(&#xD;      this.center().x - stage.left(),&#xD;      this.center().y - stage.top()&#xD;    ),&#xD;    isWarped = this.Warped,&#xD;    len,&#xD;    pos;&#xD;&#xD;if (isWarped) {endWarp(); }&#xD;context.save();&#xD;context.font = size + &apos;px monospace&apos;;&#xD;context.textAlign = &apos;left&apos;;&#xD;context.textBaseline = &apos;alphabetic&apos;;&#xD;context.fillStyle = this.color.toString();&#xD;len = context.measureText(text).width;&#xD;trans = trans.multiplyBy(1 / stage.scale);&#xD;context.translate(trans.x, trans.y);&#xD;context.rotate(rotation);&#xD;context.fillText(text, 0, 0);&#xD;context.translate(-trans.x, -trans.y);&#xD;context.restore();&#xD;pos = new Point(&#xD;  len * Math.sin(radians(this.direction())),&#xD;  len * Math.cos(radians(this.direction())));&#xD;pos = pos.add(new Point(this.xPosition(), this.yPosition()));&#xD;this.gotoXY(pos.x, pos.y, false);&#xD;this.changed();&#xD;if (isWarped) {this.startWarp(); }&#xD;stage.changed();</l></block><list><block var="text"/><block var="size"/></list></block></script></scripts></block-definition><block-definition s="load eCraft2Learn" type="command" category="other"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>https://ecraft2learn.github.io/ai/ecraft2learn.js</l></list></block><block s="doApplyExtension"><l>src_load(url)</l><list><l>https://ecraft2learn.github.io/ai/js/ecraft2learn_snap_extension.js</l></list></block></script></block-definition><block-definition s="call eCraft2Learn reporter %&apos;reporter name&apos; with %&apos;inputs&apos;" type="reporter" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%mult%s"></input></inputs><script><custom-block s="load eCraft2Learn"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>e2l_call(reporter_name, parameters)</l><list><block var="reporter name"/><block var="inputs"/></list></block></block></script></block-definition><block-definition s="run eCraft2Learn command %&apos;command name&apos; with %&apos;inputs&apos;" type="command" category="other"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%mult%s"></input></inputs><script><custom-block s="load eCraft2Learn"></custom-block><block s="doApplyExtension"><l>e2l_run(command_name, parameters)</l><list><block var="command name"/><block var="inputs"/></list></block></script></block-definition><block-definition s="Load eCraft2Learn library" type="command" category="other"><comment x="0" y="0" w="238.57142857142858" collapsed="false">No longer needed in Snap! 7+ but retained to avoid error from blocks that expect it.</comment><header></header><code></code><translations></translations><inputs></inputs></block-definition></blocks><stage width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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</pentrails><costumes><list struct="atomic" id="5606"></list></costumes><sounds><list struct="atomic" id="5607"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="star maker" idx="2" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="23,138,162,1" pen="tip" id="5612"><costumes><list struct="atomic" id="5613"></list></costumes><sounds><list struct="atomic" id="5614"></list></sounds><blocks></blocks><variables><variable name="rating"><l>0</l></variable></variables><scripts><script x="18.999999999999996" y="13.999999999999996"><block s="receiveInteraction"><l><option>clicked</option></l></block><custom-block s="add to ratings"></custom-block></script></scripts></sprite><sprite name="main" idx="1" x="-87.27142912275121" y="235.98029168146468" heading="147.68525300994827" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="1" color="59.055934668164895,66.71157244843998,72.60784217423274,1" pen="tip" id="5621"><costumes><list id="5622"><item><ref mediaID="main_cst_main"></ref></item></list></costumes><sounds><list struct="atomic" id="5623"></list></sounds><blocks></blocks><variables></variables><scripts><script x="21.428571428571452" y="21.42857142857143"><block s="receiveGo"><comment w="200" collapsed="false">When started create and draw a random &apos;configuration&apos; of minimum and maximum values for step size, angle, pen colour components, and pen size. </comment></block><block s="doTellTo"><l>learning</l><block s="reifyScript"><script><block s="show"></block><block s="doSayFor"><l>Teach me what looks good! Click the ? button for help.</l><l>5</l></block></script><list></list></block><list></list></block><custom-block s="initialise stage variables"></custom-block><block s="doHideVar"><l>disagreement score</l></block><block s="doHideVar"><l>disagreement count</l></block><block s="doHideVar"><l>total rated</l></block><block s="doSetVar"><l>repeat count</l><l>1000</l></block><block s="doTellTo"><l>learning</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block><block s="doSetVar"><l>disagreement score</l><l>0</l></block><block s="doSetVar"><l>disagreement count</l><l>0</l></block><block s="doSetVar"><l>total rated</l><l>0</l></block><custom-block s="rate %txt of %n candidates"><l>best or worst</l><l>1</l></custom-block></script><script x="20.571428571428623" y="521.8571428571428"><block s="doSetVar"><l>star costume</l><custom-block s="create star costume"></custom-block><comment w="294" collapsed="true">Modify this if you want the stars to look different.</comment></block><block s="doTellTo"><l>star maker</l><block s="reifyScript"><script><custom-block s="Make %n stars"><block var="number of stars"/></custom-block></script><list></list></block><list></list></block></script><script x="22.428571428571455" y="379.42857142857133"><custom-block s="draw noisy polygon"><comment w="490.00000000000006" collapsed="true">Try changing some of the variables and then click this to see what kind of image is produced.</comment></custom-block></script><script x="22.2857142857143" y="432.1428571428572"><block s="doSetVar"><l>ratings</l><block s="reportNewList"><list></list></block><comment w="187.00000000000003" collapsed="true">Forget all ratings and start again.</comment></block><block s="doSetVar"><l>configurations</l><block s="reportNewList"><list></list></block></block></script><comment x="356.2857142857143" y="190.4285714285714" w="273" collapsed="false">To learn how the program learns to predict the ratings of  pictures see the Scripts area of the &apos;learning&apos; sprite.</comment><script x="266.85714285714283" y="321.7380952380951"><custom-block s="Open this in a new tab"></custom-block></script></scripts></sprite><sprite name="learning" idx="3" x="2.700000000000273" y="-2.700000000000017" heading="90" scale="0.33" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="1" color="194.6064818794051,156.96948815057618,83.96082537211724,1" pen="tip" id="5705"><costumes><list id="5706"><item><ref mediaID="learning_cst_artificial-neural-network-3501528_1280"></ref></item></list></costumes><sounds><list struct="atomic" id="5707"></list></sounds><blocks></blocks><variables></variables><scripts><script x="36.00000000000001" y="599"><custom-block s="Load pre-trained model"><comment w="300" collapsed="true">Load a model trained by Ken Kahn to match his tastes.</comment></custom-block></script><script x="30.000000000000004" y="10"><block s="receiveKey"><l><option>r</option></l><list></list></block><block s="doSetVar"><l>total rated</l><l>0</l></block><custom-block s="rate %txt of %n candidates"><l>best or worst</l><l>10</l><comment w="262" collapsed="false">Rate the best or worst as decided by the trained model. Note if 1 will just display a random image to rate.</comment></custom-block></script><script x="32.00000000000001" y="175.00000000000003"><block s="receiveKey"><l><option>i</option></l><list></list></block><custom-block s="Open support panel %txt"><l>tensorflow.js</l><comment w="279" collapsed="false">Click this to get a web interface for training and searching.&#xD;Also provides a way to save trained models.</comment></custom-block></script><script x="35" y="642"><block s="doSetVar"><l>model name</l><l>noisy polygons</l><comment w="283" collapsed="true">Change this if you want to train more than one model.</comment></block></script><script x="34" y="445"><block s="receiveKey"><l><option>space</option></l><list></list><comment w="265" collapsed="true">Display the predicted rating of the current image. </comment></block><custom-block s="Get prediction from model %txt with input %s %br then %cmdRing %br or if there is an error %cmdRing"><block var="model name"/><block var="current configuration"/><block s="reifyScript"><script><block s="show"></block><block s="doThink"><block var="predicted rating"/></block></script><list><l>predicted rating</l></list></block><block s="reifyScript"><script><block s="bubble"><block var="error"/></block></script><list><l>error</l></list></block></custom-block></script><script x="34" y="362"><block s="receiveKey"><l><option>s</option></l><list></list><comment w="364" collapsed="true">Find a more accurate model by searching for different model parameters.</comment></block><custom-block s="Search for a good model for %txt name"><block var="model name"/></custom-block></script><script x="31.000000000000007" y="282.99999999999994"><block s="receiveKey"><l><option>a</option></l><list></list><comment w="368" collapsed="true">Train some more. Will use any new ratings since last time it was trained.</comment></block><custom-block s="Do additional learning %txt"><block var="model name"/></custom-block></script><script x="31.000000000000007" y="99.14285714285714"><block s="receiveKey"><l><option>l</option></l><list></list></block><custom-block s="Start learning %txt"><block var="model name"><comment w="330" collapsed="true">Start training with current ratings. Edit this to see how it works.</comment></block></custom-block></script></scripts></sprite><sprite name="help" idx="4" x="226" y="164.00000000000003" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="221.85,0,146.42100000000005,1" pen="tip" id="5775"><costumes><list id="5776"><item><ref mediaID="help_cst_help"></ref></item></list></costumes><sounds><list struct="atomic" id="5777"></list></sounds><blocks></blocks><variables></variables><scripts><script x="30.000000000000004" y="30.000000000000004"><block s="receiveInteraction"><l><option>clicked</option></l></block><custom-block s="Show help"></custom-block></script><script x="32.00000000000001" y="98"><block s="receiveKey"><l><option>h</option></l><list></list></block><custom-block s="Show help"></custom-block></script></scripts></sprite><watcher var="ratings" style="normal" x="10" y="186.9999980000001" color="243,118,29" hidden="true"/><watcher var="stage width" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="stage height" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="minimum x" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="minimum y" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="configurations" style="normal" x="3" y="9.999998000000005" color="243,118,29" hidden="true"/><watcher var="after rating action" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="current configuration" style="normal" x="14" y="260.999998" color="243,118,29" hidden="true"/><watcher scope="star maker" var="rating" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="stars" style="normal" x="328" y="240.999998" color="243,118,29" hidden="true"/><watcher var="star costume" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="number of stars" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="model name" style="normal" x="10" y="338.99999800000006" color="243,118,29" hidden="true"/><watcher var="disagreement score" style="normal" x="167" y="1.999998000000005" color="243,118,29"/><watcher var="disagreement count" style="normal" x="8" y="2.999998000000005" color="243,118,29"/><watcher var="total rated" style="normal" x="299" y="0.999998000000005" color="243,118,29"/></sprites></stage><variables><variable name="ratings"><list struct="atomic" id="5806"></list></variable><variable name="repeat count"><l>1000</l></variable><variable name="stage width"><l>480</l></variable><variable name="stage height"><l>480</l></variable><variable name="minimum x"><l>-240</l></variable><variable name="minimum y"><l>-240</l></variable><variable name="configurations"><list struct="atomic" id="5807"></list></variable><variable name="best parameters"><list id="5808"><item><list struct="atomic" id="5809">optimization_method,Adaptive Moment Estimation</list></item><item><list struct="atomic" id="5810">loss_function,Absolute Difference</list></item><item><list struct="atomic" id="5811">activation,hardSigmoid</list></item><item><list id="5812"><item><l>shuffle</l></item><item><bool>true</bool></item></list></item><item><list struct="atomic" id="5813">epochs,1125</list></item><item><list struct="atomic" id="5814">validation_split,0.3808870846471718</list></item><item><list struct="atomic" id="5815">dropout_rate,0.4464857555664014</list></item><item><list struct="atomic" id="5816">learning_rate,0.0009000000000000001</list></item><item><list id="5817"><item><l>layers</l></item><item><list struct="atomic" id="5818">214,187,128,64,32,16,1</list></item></list></item><item><list id="5819"><item><l>input_shape</l></item><item><list struct="atomic" id="5820">12</list></item></list></item><item><list id="5821"><item><l>used_validation_data</l></item><item><bool>false</bool></item></list></item></list></variable><variable name="best or worst configuration prediction pair"><list id="5822"><item><list struct="atomic" id="5823">0.47116128753615644,0.10873290086407175,0.9182889923025108,0.5042070192296164,0.29284840219409997,0.1762698891712974,0.5364556095445328,0.27664167469387113,0.26759278564856487,0.6159320882821552,0.027557664259434463,0.8550392879651603</list></item><item><l>1.4925528764724731</l></item></list></variable><variable name="after rating action"><context id="5824"><inputs></inputs><variables></variables><script><block s="up"></block><block s="gotoXY"><l>0</l><l>0</l></block><custom-block s="let %upvar be %s"><l>predicted rating</l><block s="reportListItem"><l><option>last</option></l><block var="best or worst configuration prediction pair"/></block></custom-block><block s="show"></block><block s="doSayFor"><block var="predicted rating"/><l>2</l></block><custom-block s="let %upvar be %s"><l>predicted rating truncated</l><block s="reportIfElse"><block s="reportGreaterThan"><block var="predicted rating"/><block var="number of stars"/></block><block s="reportSum"><block var="number of stars"/><l>.1</l></block><block s="reportIfElse"><block s="reportLessThan"><block var="predicted rating"/><l>1</l></block><l>.9</l><block var="predicted rating"/></block><comment w="118" collapsed="false">Ratings can go beyond 1 to n. This adjusts those outside the normal range.</comment></block></custom-block><custom-block s="let %upvar be %s"><l>disagreement</l><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="predicted rating truncated"/><block s="reportListItem"><l>1</l><block var="ratings"/></block></block></block></custom-block><block s="doIf"><block s="reportGreaterThan"><block var="disagreement"/><l>1</l></block><script><block s="doChangeVar"><l>disagreement count</l><l>1</l></block></script></block><block s="doSetVar"><l>disagreement score</l><block s="reportQuotient"><block s="reportRound"><block s="reportProduct"><l>100</l><block s="reportSum"><block var="disagreement"/><block var="disagreement score"/></block></block></block><l>100</l><comment w="152.9999999999999" collapsed="true">2 decimal places is enough</comment></block></block><custom-block s="rate %txt of %n candidates"><block var="best or worst"/><block var="n"/></custom-block></script><receiver><ref id="5705"></ref></receiver><origin><ref id="5705"></ref></origin><context id="5900"><inputs></inputs><variables><variable name="best or worst"><l>best or worst</l></variable><variable name="n"><l>10</l></variable><variable name="candidates"><list id="5902"><item><list struct="atomic" id="5903">0.5744949582680792,0.052846279288543574,0.44085822529044005,0.2979567151154491,0.7593522290222807,0.12919768491392067,0.9994347285544475,0.4997132536154246,0.9697778231836299,0.8318645274608398,0.9558057250307578,0.637911067794468</list></item><item><ref id="5823"></ref></item><item><list struct="atomic" id="5904">0.12277782218380608,0.3305619635603804,0.8564406166536148,0.7587778018238642,0.37432131325282214,0.7240287415711635,0.06635693111261955,0.48457373048461916,0.8432551479387999,0.7380694225930242,0.042902072687512435,0.53836118875673</list></item><item><list struct="atomic" id="5905">0.6711812008554696,0.495410935118183,0.1925797013991141,0.19573640316943725,0.43116654685912337,0.2538927473525086,0.958037512863651,0.7825624623333514,0.40510884018006976,0.9945468635251093,0.658767320928755,0.8471211651182169</list></item><item><list struct="atomic" id="5906">0.9292605223897411,0.1135532665505944,0.627166579995722,0.9027374401872426,0.9858140854323102,0.4001017585465067,0.6571254680367317,0.5896488153214757,0.9853997212259684,0.950880851922335,0.8466157566357214,0.1059898360996786</list></item><item><list struct="atomic" id="5907">0.14235339849431444,0.5773241507601284,0.9085427574944638,0.9421173806693051,0.6734907746402455,0.5508350721123129,0.6716091738682174,0.20683260049283983,0.6309068449374527,0.7070829509110358,0.21445095916179235,0.5406547272675255</list></item><item><list struct="atomic" id="5908">0.3749344841336392,0.12625994071825708,0.2758531534610803,0.04584151137162673,0.96449395562712,0.0643880858444654,0.131606891713785,0.6674197321959092,0.8729866722974179,0.4716785395768906,0.9488930249153942,0.24960406519546394</list></item><item><list struct="atomic" id="5909">0.6947642425494694,0.2400253204851078,0.2403128647727456,0.057084936445110736,0.1961945811720748,0.9228477820059987,0.27599040640942546,0.5721134086188433,0.05844638778982432,0.5305324183573672,0.001060287310927171,0.6477236372518828</list></item><item><list struct="atomic" id="5910">0.38011863889128045,0.9044658036043172,0.17993640816931922,0.8207549028528753,0.8286382594149845,0.020232939911654427,0.6580126479714391,0.6957876254939839,0.0025899141099387096,0.564165436861348,0.9063933282197422,0.12085868706435786</list></item><item><list struct="atomic" id="5911">0.05185063123172719,0.1544125030570922,0.26211801912259164,0.48656191405526655,0.0772941799502683,0.6751024745287418,0.8831434448049872,0.16603283293665394,0.980868316448042,0.7637867791610736,0.6216394179772102,0.7469713824885321</list></item></list></variable><variable name="predictions"><list struct="atomic" id="5912">2.0443198680877686,1.4925528764724731,1.8566499948501587,1.9983900785446167,2.427903652191162,2.0758633613586426,1.54904305934906,1.5314737558364868,2.2043380737304688,1.900558590888977</list></variable><variable name="#"><l>10</l></variable><variable name="configuration prediction pairs"><list linked="linked" id="5913"><item><list id="5914"><item><ref id="5903"></ref></item><item><l>2.0443198680877686</l></item></list></item><item><ref id="5822"></ref></item><item><list id="5915"><item><ref id="5904"></ref></item><item><l>1.8566499948501587</l></item></list></item><item><list id="5916"><item><ref id="5905"></ref></item><item><l>1.9983900785446167</l></item></list></item><item><list id="5917"><item><ref id="5906"></ref></item><item><l>2.427903652191162</l></item></list></item><item><list id="5918"><item><ref id="5907"></ref></item><item><l>2.0758633613586426</l></item></list></item><item><list id="5919"><item><ref id="5908"></ref></item><item><l>1.54904305934906</l></item></list></item><item><list id="5920"><item><ref id="5909"></ref></item><item><l>1.5314737558364868</l></item></list></item><item><list id="5921"><item><ref id="5910"></ref></item><item><l>2.2043380737304688</l></item></list></item><item><list id="5922"><item><ref id="5911"></ref></item><item><l>1.900558590888977</l></item></list></item></list></variable><variable name="sorted configuration prediction pairs"><list linked="linked" id="5923"><item><ref id="5917"></ref></item><item><ref id="5921"></ref></item><item><ref id="5918"></ref></item><item><ref id="5914"></ref></item><item><ref id="5916"></ref></item><item><ref id="5922"></ref></item><item><ref id="5915"></ref></item><item><ref id="5919"></ref></item><item><ref id="5920"></ref></item><item><ref id="5822"></ref></item></list></variable></variables><receiver><ref id="5705"></ref></receiver><origin></origin></context></context></variable><variable name="disagreement score"><l>3.58</l></variable><variable name="current configuration"><ref id="5823"></ref></variable><variable name="stars"><list struct="atomic" id="5924">0,0,0,0,0</list></variable><variable name="star costume"><ref mediaID="4"></ref></variable><variable name="number of stars"><l>5</l></variable><variable name="model name"><l>noisy polygons</l></variable><variable name="disagreement count"><l>2</l></variable><variable name="total rated"><l>4</l></variable></variables></scene></scenes></project><media name="noisy polygon" app="Snap! 7, https://snap.berkeley.edu" version="2"><costume name="main" center-x="52" center-y="29" 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" 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