<snapdata remixID="12424886"><project name="M1p1_poligons" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="M1p1_poligons"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><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></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="catch %&apos;tag&apos; %&apos;value&apos;" type="reporter" 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="%anyUE"></input></inputs><script><block s="doCallCC"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doReport"><block s="evaluate"><block var="value"/><list></list></block></block></script><list><l>cont</l></list></block></block></script></block-definition><block-definition s="throw %&apos;tag&apos; %&apos;value&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><input type="%s"></input></inputs><script><block s="doRun"><block var="tag"/><list><block var="value"/></list></block></script></block-definition><block-definition s="if %&apos;test&apos; do %&apos;action&apos; and pause all $pause-1-255-220-0" type="command" category="control"><comment x="0" y="0" w="263.3333333333333" collapsed="false">This is a breakpoint block, to be used in debugging.&#xD;The Boolean input specifies the condition under which&#xD;the program should pause.  (Use True for an unconditional breakpoint.)  The intent is that the script should have&#xD;SHOW VARIABLE blocks for the process&apos;s local variables.&#xD;After the pause, this block automatically hides all temporary variables.</comment><header></header><code></code><translations>de:falls _ dann _ und pause $pause-1-255-220-0&#xD;ca:si _ fes _ i atura-ho tot $pause-1-255-220-0&#xD;es:si _ haz _ y páralo todo $pause-1-255-220-0&#xD;fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0&#xD;pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>breakpoint</l></list></block><block s="doIf"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doSetVar"><l>breakpoint</l><block var="test"/></block><block s="doShowVar"><l>breakpoint</l></block><block s="doRun"><block var="action"/><list></list></block><block s="doPauseAll"></block><block s="doHideVar"><l></l></block></script></block></script></block-definition><block-definition s="ignore %&apos;x&apos;" type="command" category="control"><comment x="0" y="0" w="206.66666666666666" collapsed="false">This block does nothing.&#xD;Use it when you are calling a reporter&#xD;for its side effect and don&apos;t care about&#xD;its return value.</comment><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="cascade %&apos;num&apos; times %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="138" collapsed="false">Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right.  The # variable can be used inside f to represent how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _&#xD;ca:en cascada _ vegades _ _ _&#xD;</translations><inputs><input type="%n"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="cascade until %&apos;pred&apos; %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="210.47493489583334" collapsed="false">Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right.  The # variable can be used inside f or condition to indicate how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _&#xD;ca:en cascada fins _ _ _ _&#xD;</translations><inputs><input type="%predRing"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list><block var="result"/></list></block><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="compose %&apos;f&apos; %&apos;g&apos;" type="reporter" category="control"><comment x="0" y="0" w="151.33333333333334" collapsed="false">Returns the function x↦f(g(x)) where f and g are the two inputs.</comment><header></header><code></code><translations>pt:a composição de _ com _&#xD;ca:composa _ _&#xD;</translations><inputs><input type="%repRing"></input><input type="%repRing"></input></inputs><script><block s="doReport"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="f"/><list><block s="evaluate"><block var="g"/><list><l></l></list></block></list></block></autolambda><list></list></block></block></script></block-definition><block-definition s="repeat %&apos;action&apos; until %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="202.66666666666666" collapsed="false">Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time.  So the script is run at least once.</comment><header></header><code></code><translations>pt:repete _ até que _ $loop-0.7&#xD;ca:repeteix _ fins _&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;action&apos; while %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="287.3333333333333" collapsed="false">Run the script repeatedly, as long as the given condition is true.  Runs the script at least once before testing the condition.</comment><header></header><code></code><translations>pt:repete _ enquanto _ $loop-0.7&#xD;ca:repeteix _ mentre _&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat while %&apos;pred&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="264" collapsed="false">Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run.  Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.</comment><header></header><code></code><translations>pt:enquanto _ , repete _ $loop-0.7&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;num&apos; %&apos;#&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="171" collapsed="false">Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script.  Try&#xD;REPEAT (200)&#xD;                MOVE (#) STEPS&#xD;   RIGHT 92&#xD;with the pen down.</comment><header></header><code></code><translations>pt:repete _ vezes _ _ $loop-0.7&#xD;ca:repeteix _ _ _&#xD;</translations><inputs><input type="%n"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="for %&apos;i&apos; = %&apos;start&apos; step %&apos;step&apos; to %&apos;end&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="247.33333333333334" collapsed="false">The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger.  This version allows you to provide an explicit step value.  If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.</comment><header></header><code></code><translations>pt:para _ de _ com passo _ a _ _ $loop-0.7&#xD;ca:per _ = _ incrementant _ fins _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%n">1</input><input type="%n">1</input><input type="%n">10</input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>test</l></list></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="step"/><l>0</l></list></block><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script></block><block s="doUntil"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block><block s="doChangeVar"><l>i</l><block var="step"/></block></script></block></script></block-definition><block-definition s="let %&apos;a&apos; be %&apos;val&apos; in %&apos;loop&apos; %&apos;body&apos;" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Provides LOOP as a function of one input that runs&#xD;the body of the LET with A set to the function input,&#xD;so the body can run itself recursively.&#xD;See COPY block in Variables for an example of use.</comment><header></header><code></code><translations>pt:tendo _ o valor inicial _ , executa _ definido como _&#xD;ca:fes que _ sigui _ al _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%s"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>a</l><block var="val"/></block><block s="doSetVar"><l>loop</l><block s="reifyScript"><script><block s="doSetVar"><l>a</l><block var="new value"/></block><block s="doRun"><block var="body"/><list><block var="a"/></list></block></script><list><l>new value</l></list></block></block><block s="doRun"><block var="loop"/><list><block var="a"/></list></block></script></block-definition></blocks><stage name="Escenario" 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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