<snapdata remixID="13522015"><project name="Zahlenspiel" app="Snap! 10, https://snap.berkeley.edu" version="2"><notes>Zahlenfolge:&#xD;Wenn n gerade, dividiere durch 2.&#xD;Wenn n nicht gerade, mutlipliziere mit 3 und addiere 1.</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Zahlenspiel"><notes>Zahlenfolge:&#xD;Wenn n gerade, dividiere durch 2.&#xD;Wenn n nicht gerade, mutlipliziere mit 3 und addiere 1.</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Zahlenspiel mit %&apos;n&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>dataset</l></list></block><block s="doSetVar"><l>dataset</l><block s="reportNewList"><list><block var="n"/></list></block></block><block s="doUntil"><block s="reportVariadicEquals"><list><block s="reportListItem"><l><option>last</option></l><block var="dataset"/></block><l>1</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="n"/><l>2</l></block><l>0</l></list></block><block s="reportQuotient"><block var="n"/><l>2</l></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>3</l><block var="n"/></list></block><l>1</l></list></block></block></block><block s="doAddToList"><block var="n"/><block var="dataset"/></block></script></block><block s="doReport"><block var="dataset"/></block></script></block-definition><block-definition s="$flash sort %&apos;data&apos; ordering with %&apos;function&apos;" type="reporter" category="lists"><comment x="0" y="0" w="161.14285714285708" collapsed="false">Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot.  For a list of numbers, using &lt; as the comparison function will sort from low to high; using &gt; will sort from high to low.</comment><header></header><code></code><translations>ca:ordena _ segons criteri _&#xD;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="data"/><block var="function"/></list></block></block></script></block-definition><block-definition s="$flash assoc %&apos;key&apos; %&apos;a-list&apos;" type="reporter" category="lists"><comment x="0" y="0" w="289.3333333333333" collapsed="false">The second input is an &quot;association list,&quot; a list of two-item lists.  Each of those smaller lists has a &quot;key&quot; as its first item and a &quot;value&quot; as its second.  ASSOC reports the first key-value pair in the association list whose key matches the first input.</comment><header></header><code></code><translations>ca:associació _ _&#xD;</translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="reportAtomicFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block var="key"/><block s="reportListItem"><l>1</l><l/></block></list></block></autolambda><list></list></block><block var="a-list"/></block></block></script></block-definition><block-definition s="%&apos;#&apos; for each %&apos;item&apos; of %&apos;data&apos; %&apos;action&apos;" type="command" category="lists"><comment x="0" y="0" w="228.57142857142858" collapsed="false">This block carries out the given script for each item of the given list, like the primitive FOR EACH.&#xD;&#xD;What&apos;s different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.</comment><header></header><code></code><translations>ca:_ per cada _ de _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%upvar"></input><input type="%l"></input><input type="%ca"></input></inputs><script><block s="doForEach"><l>inner item</l><block var="data"/><script><block s="doSetVar"><l>item</l><block var="inner item"/></block><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="☠︎ linked? %&apos;data&apos;" type="predicate" category="lists" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>lst_linked(list)</l><list><block var="data"/></list></block></block></script></block-definition><block-definition s="☠︎ link %&apos;data&apos;" type="reporter" category="lists" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><block s="reportCDR"><block var="data"/></block></block></block></script></block-definition><block-definition s="printable %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="188.66666666666666" collapsed="false">Takes a (possibly deep) list as input,&#xD;and reports a human-readable text form &#xD;of the list (namely, Lisp notation).&#xD;&#xD;Will not work on circular lists.</comment><header></header><code></code><translations>ca:notació textual de _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><block s="doReport"><block var="data"/></block></script><list></list></block><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><l>()</l></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block s="reportAtomicCombine"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="printable %l"><l/></custom-block></autolambda><list></list></block><block var="data"/></block><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l> </l><l></l></list></block></autolambda><list></list></block></block><l>)</l></list></block></block></script></block-definition><block-definition s="sentence %&apos;phrase&apos;" type="reporter" category="lists"><comment x="0" y="0" w="302.6666666666667" collapsed="false">SENTENCE is the main constructor for sentences, represented&#xD;as lists of words.  It takes zero or more inputs, each of which can&#xD;be either a list or a text string.  If a list, the input is assumed to be&#xD;a list of words.  If a text string, it is converted to a list of words using&#xD;SENTENCE→LIST.  Then all the lists of words are appended to form a new list of words.&#xD;&#xD;If the inputs are lists of lists rather than lists of words, SENTENCE,&#xD;like APPEND, does only one level of flattening, reporting a list of&#xD;all the items of all the input lists.</comment><header></header><code></code><translations>ca:frase _&#xD;</translations><inputs><input type="%mult%s"></input></inputs><script><block s="doReport"><block s="reportConcatenatedLists"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportIsA"><l></l><l><option>list</option></l></block><l></l><custom-block s="sentence $arrowRight list %txt"><l></l></custom-block></block></autolambda><list></list></block><block var="phrase"/></block></block></block></script></block-definition><block-definition s="$flash zip %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="192" collapsed="false">ZIP takes any number of lists as inputs.  The lists should all be the same length.  ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc.&#xD;Viewing the inputs as the rows of a matrix, ZIP reports its transpose.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>columns</option></l><block var="lists"/></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><comment x="0" y="0" w="105.33333333333333" collapsed="false">The identity function reports its input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="multimap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="267.3333333333333" collapsed="false">Takes as input a function of N inputs and N lists.&#xD;The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on.  (The lists should all be the same length.)</comment><header></header><code></code><translations>ca:multi-mapeja _ sobre _&#xD;</translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="function"/><custom-block s="%s"><l></l></custom-block></block></autolambda><list></list></block><custom-block s="$flash zip %mult%l"><block var="lists"/></custom-block></block></block></script></block-definition><block-definition s="sentence $arrowRight list %&apos;text&apos;" type="reporter" category="operators"><comment x="0" y="0" w="196" collapsed="false">Takes a sentence in text string form and reports the sentence as a list of its words.</comment><header></header><code></code><translations>de:Satz $arrowRight Liste _&#xD;ca:frase $arrowRight llista _&#xD;es:frase $arrowRight lista _&#xD;fr:phrase $arrowRight liste _&#xD;pt:uma lista com as palavras da frase _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportAtomicKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><l></l></block><l>0</l></list></block></block></autolambda><list></list></block><block s="reportTextSplit"><block var="text"/><l><option>whitespace</option></l></block></block></block></script></block-definition><block-definition s="arc $turnRight radius: %&apos;r&apos; degrees: %&apos;degrees&apos;" type="command" category="motion"><header></header><code></code><translations>de:Bogen $turnRight Radius: _ Grad: _&#xD;</translations><inputs><input type="%n" initial="1">50</input><input type="%n" initial="1">30</input></inputs><script><block s="doDeclareVariables"><list><l>start</l><l>end</l><l>path</l><l>center</l></list></block><block s="doSetVar"><l>start</l><block s="reportVariadicSum"><list><block s="direction"></block><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>sign</option></l><block var="degrees"/></block><l>-90</l></list></block></list></block></block><block s="doSetVar"><l>end</l><block s="reportVariadicSum"><list><block var="start"/><block var="degrees"/></list></block></block><block s="doSetVar"><l>path</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportVariadicProduct"><list><block s="reportNewList"><list><block s="reportMonadic"><l><option>sin</option></l><l></l></block><block s="reportMonadic"><l><option>cos</option></l><l></l></block></list></block><block var="r"/></list></block></autolambda><list></list></block><block s="reportConcatenatedLists"><list><block s="reportNumbers"><block var="start"/><block var="end"/></block><block s="reportNewList"><list><block var="end"/></list></block></list></block></block></block><block s="doSetVar"><l>center</l><block s="reportDifference"><block s="getPosition"></block><block s="reportListItem"><l>1</l><block var="path"/></block></block></block><block s="doWarp"><script><block s="doForEach"><l>coord</l><block var="path"/><script><block s="doGotoObject"><block s="reportVariadicSum"><list><block var="coord"/><block var="center"/></list></block></block></script></block></script></block><block s="setHeading"><block s="reportVariadicSum"><list><block var="end"/><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>sign</option></l><block var="degrees"/></block><l>90</l></list></block></list></block></block></script></block-definition><block-definition s="arc $turnLeft radius: %&apos;r&apos; degrees: %&apos;degrees&apos;" type="command" category="motion"><header></header><code></code><translations>de:Bogen $turnLeft Radius: _ Grad: _&#xD;</translations><inputs><input type="%n" initial="1">50</input><input type="%n" initial="1">30</input></inputs><script><custom-block s="arc $turnRight radius: %n degrees: %n"><block var="r"/><block s="reportMonadic"><l><option>neg</option></l><block var="degrees"/></block></custom-block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="1600" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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</pentrails><costumes><list 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s="reportListItem"><l>51</l><block var="Ergebnisse"/></block></script><script x="20" y="125.22222222222224"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reportNewList"><list><l>Zahl</l><l>Länge</l><l>Folge</l></list></block></list></block><custom-block s="$flash sort %l ordering with %predRing"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="value"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><block s="reportJoinWords"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l>,</l></list></block></autolambda><list></list></block><block var="value"/></block></block></list></block></autolambda><list><l>value</l></list></block><block var="Ergebnisse"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>2</l><l/></block><block s="reportListItem"><l>2</l><l/></block></list></block></autolambda><list></list></block></custom-block></list></block></script><script x="20" y="323.5555555555555"><block s="clear"></block><block s="gotoXY"><l>0</l><block s="reportDifference"><l>0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><l>2.3</l></block></block></block><block s="doSetVar"><l>Faktor</l><l>20</l></block><block s="doSetVar"><l>Schrift</l><block var="Faktor"/></block><block s="doSetVar"><l>zuletzt</l><block s="xPosition"></block></block><block s="doSetVar"><l>Zähler</l><l>0</l></block><block s="doForEach"><l>Wert</l><custom-block s="Zahlenspiel mit %s"><l>13</l></custom-block><script><block s="setHeading"><l>0</l></block><block s="doGlide"><l>1</l><block s="reportDifference"><block s="reportVariadicProduct"><list><block var="Wert"/><block var="Faktor"/></list></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><l>2.1</l></block></block><block s="yPosition"></block></block><block s="doSetVar"><l>x</l><block s="xPosition"></block></block><block s="doSetVar"><l>y</l><block s="yPosition"></block></block><block s="forward"><l>-15</l></block><block s="setColor"><color>35,37,1,1</color></block><block s="write"><block var="Wert"/><block var="Schrift"/></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="doSetVar"><l>Mitte</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="zuletzt"/><block var="x"/></list></block><l>2</l></block></block><block s="doSetVar"><l>Radius</l><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="Mitte"/><block var="zuletzt"/></block></block></block><block s="down"></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="Zähler"/><l>0</l></list></block><script><block s="up"></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="zuletzt"/><block var="x"/></list></block><script><block s="setColor"><color>241,37,0,1</color></block><custom-block s="arc $turnRight radius: %n degrees: %n"><block var="Radius"/><l>180</l></custom-block><block s="up"></block><custom-block s="arc $turnRight radius: %n degrees: %n"><block var="Radius"/><l>180</l></custom-block></script><list><l><bool>true</bool></l><script><block s="setColor"><color>0,0,187,1</color></block><custom-block s="arc $turnRight radius: %n degrees: %n"><block var="Radius"/><l>-180</l></custom-block><block s="up"></block><custom-block s="arc $turnRight radius: %n degrees: %n"><block var="Radius"/><l>-180</l></custom-block></script></list></block><block s="doSetVar"><l>zuletzt</l><block s="xPosition"></block></block><block s="doChangeVar"><l>Zähler</l><l>1</l></block></script></block></script></scripts></sprite><watcher var="Ergebnisse" style="normal" x="30.000000000001073" y="16.999999999999982" color="243,118,29" extX="199.99999999999955" extY="150.00000000000003" hidden="true"/><watcher var="Faktor" style="normal" x="14.33463462605143" y="317.71282498621997" color="243,118,29" hidden="true"/><watcher var="zuletzt" style="normal" x="16.42316517195835" y="14.334634626051896" color="243,118,29" hidden="true"/><watcher var="x" style="normal" x="209.89731986360331" y="13.57544854839217" color="243,118,29" hidden="true"/><watcher var="y" style="normal" x="657.755043707098" y="45.81559375649415" color="243,118,29" hidden="true"/><watcher var="Radius" style="normal" x="16.67431189255481" y="81.50758550124819" color="243,118,29" hidden="true"/><watcher var="Zähler" style="normal" x="16.191419259329162" y="16.191419259329525" color="243,118,29" hidden="true"/><watcher var="Mitte" style="normal" x="454.7193458275218" y="20.494477218492722" color="243,118,29" hidden="true"/><watcher var="Schrift" style="normal" x="16.191419259329162" y="63.956109312635476" color="243,118,29" hidden="true"/></sprites></stage><variables><variable name="Ergebnisse"><list id="660"><item><list struct="atomic" id="661">1</list></item><item><list struct="atomic" id="662">2,1</list></item><item><list struct="atomic" id="663">3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="664">4,2,1</list></item><item><list struct="atomic" id="665">5,16,8,4,2,1</list></item><item><list struct="atomic" id="666">6,3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="667">7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="668">8,4,2,1</list></item><item><list struct="atomic" id="669">9,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="670">10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="671">11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="672">12,6,3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="673">13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="674">14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="675">15,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="676">16,8,4,2,1</list></item><item><list struct="atomic" id="677">17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="678">18,9,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="679">19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="680">20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="681">21,64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="682">22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="683">23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="684">24,12,6,3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="685">25,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="686">26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="687">27,82,41,124,62,31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="688">28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="689">29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="690">30,15,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="691">31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="692">32,16,8,4,2,1</list></item><item><list struct="atomic" id="693">33,100,50,25,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="694">34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="695">35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="696">36,18,9,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="697">37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="698">38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="699">39,118,59,178,89,268,134,67,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="700">40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="701">41,124,62,31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="702">42,21,64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="703">43,130,65,196,98,49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="704">44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="705">45,136,68,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="706">46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="707">47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="708">48,24,12,6,3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="709">49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="710">50,25,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="711">51,154,77,232,116,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="712">52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="713">53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="714">54,27,82,41,124,62,31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="715">55,166,83,250,125,376,188,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="716">56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="717">57,172,86,43,130,65,196,98,49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="718">58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="719">59,178,89,268,134,67,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="720">60,30,15,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="721">61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="722">62,31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="723">63,190,95,286,143,430,215,646,323,970,485,1456,728,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="724">64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="725">65,196,98,49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="726">66,33,100,50,25,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="727">67,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="728">68,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="729">69,208,104,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="730">70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="731">71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="732">72,36,18,9,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="733">73,220,110,55,166,83,250,125,376,188,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="734">74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="735">75,226,113,340,170,85,256,128,64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="736">76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="737">77,232,116,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="738">78,39,118,59,178,89,268,134,67,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="739">79,238,119,358,179,538,269,808,404,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="740">80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="741">81,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="742">82,41,124,62,31,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="743">83,250,125,376,188,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="744">84,42,21,64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="745">85,256,128,64,32,16,8,4,2,1</list></item><item><list struct="atomic" id="746">86,43,130,65,196,98,49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="747">87,262,131,394,197,592,296,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="748">88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="749">89,268,134,67,202,101,304,152,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="750">90,45,136,68,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="751">91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="752">92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="753">93,280,140,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="754">94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="755">95,286,143,430,215,646,323,970,485,1456,728,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="756">96,48,24,12,6,3,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="757">97,292,146,73,220,110,55,166,83,250,125,376,188,94,47,142,71,214,107,322,161,484,242,121,364,182,91,274,137,412,206,103,310,155,466,233,700,350,175,526,263,790,395,1186,593,1780,890,445,1336,668,334,167,502,251,754,377,1132,566,283,850,425,1276,638,319,958,479,1438,719,2158,1079,3238,1619,4858,2429,7288,3644,1822,911,2734,1367,4102,2051,6154,3077,9232,4616,2308,1154,577,1732,866,433,1300,650,325,976,488,244,122,61,184,92,46,23,70,35,106,53,160,80,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="758">98,49,148,74,37,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="759">99,298,149,448,224,112,56,28,14,7,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item><item><list struct="atomic" id="760">100,50,25,76,38,19,58,29,88,44,22,11,34,17,52,26,13,40,20,10,5,16,8,4,2,1</list></item></list></variable><variable name="zuletzt"><l>-741.9047619047619</l></variable><variable name="Mitte"><l>-731.9047619047619</l></variable><variable name="Radius"><l>10.000000000000114</l></variable><variable name="Faktor"><l>20</l></variable><variable name="x"><l>-741.9047619047619</l></variable><variable name="y"><l>-156.5217391304352</l></variable><variable name="Zähler"><l>10</l></variable><variable name="Schrift"><l>20</l></variable></variables></scene></scenes></project><media name="Zahlenspiel" app="Snap! 10, https://snap.berkeley.edu" version="2"></media></snapdata>