<snapdata remixID="10341080"><project name="MCM_FB" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes>En aquesta pràctica es calcula el mínim comú múltiple (MCM) seguint, altre cop, al peu de la lletra la definició. Per tant, es busquen els múltiples de dos nombres, es comparen i els que estant repetits es col·loquen en una llista de múltiples comuns. En aquest cas, no podem calcular tots els múltiples, però sabem que el MCM com a màxim valdrà la multiplicació dels dos nombres i, aquest límit ens permetrà calcular els suficients múltiples. Un cop tenim les dues llistes de múltiples comuns, ens quedarem amb el més petit.&#xD;Aquest projecte és dins dels materials que trobareu a http://ja.cat/matsnap</notes><thumbnail>data:image/png;base64,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</thumbnail><stage name="Escenari" 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" scheduled="false" 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</pentrails><costumes><list struct="atomic" id="2"></list></costumes><sounds><list struct="atomic" id="3"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites><sprite name="Objecte" idx="1" x="-0.1973244147159221" y="-0.20066889632110474" heading="90" scale="0.3" volume="100" pan="0" rotation="0" draggable="true" costume="1" color="204,58.59999999999998,0,1" pen="tip" id="8"><costumes><list id="9"><item><costume name="alonzo" center-x="45" center-y="60" 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id="10"/></item></list></costumes><sounds><list struct="atomic" id="11"></list></sounds><blocks></blocks><variables></variables><scripts><script x="44" y="30"><block s="receiveGo"></block><block s="clear"></block><block s="doSetVar"><l>Multiples1</l><block s="reportNewList"><list></list></block></block><block s="doAsk"><l>Digues un número</l></block><block s="doSetVar"><l>numero1</l><block s="getLastAnswer"></block></block><block s="doSetVar"><l>Multiples2</l><block s="reportNewList"><list></list></block></block><block s="doAsk"><l>Digues un altre número</l></block><block s="doSetVar"><l>numero2</l><block s="getLastAnswer"></block></block><custom-block s="Posa els múltiples de %s i %s a la llista %s"><block var="numero1"/><block var="numero2"/><block var="Multiples1"/></custom-block><custom-block s="Posa els múltiples de %s i %s a la llista %s"><block var="numero2"/><block var="numero1"/><block var="Multiples2"/></custom-block><block s="doSetVar"><l>MCM</l><block s="reportProduct"><block var="numero1"/><block var="numero2"/></block></block><block s="doForEach"><l>element</l><block var="Multiples1"/><script><block s="doIf"><block s="reportListContainsItem"><block var="Multiples2"/><block var="element"/></block><script><block s="doIf"><block s="reportLessThan"><block var="element"/><block var="MCM"/></block><script><block s="doSetVar"><l>MCM</l><block var="element"/></block></script></block></script></block></script></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="doSayFor"><block s="reportJoinWords"><list><l>El MCM de </l><block var="numero1"/><l> i </l><block var="numero2"/><l> és </l><block var="MCM"/></list></block><l>2</l></block></script></scripts></sprite><watcher var="numero1" style="normal" x="6.2291666666667425" y="6.229166666666671" color="243,118,29" hidden="true"/><watcher var="numero2" style="normal" x="6.2291666666667425" y="19.310417912499993" color="243,118,29" hidden="true"/><watcher var="MCD" style="normal" x="6.2291666666667425" y="90.32292040416665" color="243,118,29" hidden="true"/><watcher var="MCM" style="normal" x="6.2291666666667425" y="103.40417165" color="243,118,29" hidden="true"/><watcher var="Producte" style="normal" x="6.2291666666667425" y="97.79792289583334" color="243,118,29" hidden="true"/><watcher var="Divisors2" style="normal" x="99.66666666666674" y="13.08125249166666" color="243,118,29" hidden="true"/><watcher var="Divisors1" style="normal" x="16.818750000000023" y="47.96458457916668" color="243,118,29" hidden="true"/><watcher var="Multiples1" style="normal" x="228.61041666666665" y="5.606257474999985" color="243,118,29" hidden="true"/><watcher var="Multiples2" style="normal" x="21.179166666666674" y="6.85209205416664" color="243,118,29" hidden="true"/></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="$flash remove duplicates from %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="209" collapsed="false">Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the first one is kept in the result.</comment><header></header><code></code><translations>ca:elimina els duplicats de _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportAtomicKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block s="reportListIndex"><block var="value"/><block var="list"/></block><block var="index"/></block></autolambda><list><l>value</l><l>index</l><l>list</l></list></block><block var="data"/></block></block></script><scripts><script x="14" y="164.2222222222222"><block s="doWarp"><script><block s="doIf"><block s="reportEquals"><block var="data"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIfElse"><block s="reportListContainsItem"><block s="reportCDR"><block var="data"/></block><block s="reportListItem"><l>1</l><block var="data"/></block></block><script><block s="doReport"><custom-block s="$flash remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></script><script><block s="doReport"><block s="reportCONS"><block s="reportListItem"><l>1</l><block var="data"/></block><custom-block s="$flash remove duplicates from %l"><block s="reportCDR"><block var="data"/></block></custom-block></block></block></script></block></script></block></script></scripts></block-definition><block-definition s="$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="evaluate"><block s="reportJSFunction"><list><l>data</l><l>fn</l><l>proc</l></list><l>return proc.reportAtomicSort(data, fn);</l></block><list><block var="data"/><block var="function"/></list></block></block></script><scripts><script x="12" y="147.55555555555557"><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="$flash sort %l ordering with %predRing"><block var="odd items"/><block var="function"/></custom-block><custom-block s="$flash sort %l ordering with %predRing"><block var="even items"/><block var="function"/></custom-block></list></block></block></script></scripts></block-definition><block-definition s="$flash assoc %&apos;key&apos; %&apos;a-list&apos;" type="reporter" category="lists"><comment x="0" y="0" w="289.3333333333333" collapsed="false">The second input is an &quot;association list,&quot; a list of two-item lists.  Each of those smaller lists has a &quot;key&quot; as its first item and a &quot;value&quot; as its second.  ASSOC reports the first key-value pair in the association list whose key matches the first input.</comment><header></header><code></code><translations>ca:associació _ _&#xD;</translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doReport"><block s="reportAtomicFindFirst"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block var="key"/><block s="reportListItem"><l>1</l><l/></block></block></autolambda><list></list></block><block var="a-list"/></block></block></script><scripts><script x="19.333333333333332" y="108.22222222222221"><block s="doIf"><block s="reportEquals"><block var="a-list"/><block s="reportNewList"><list></list></block></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block><block s="doIf"><block s="reportEquals"><block var="key"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="a-list"/></block></block></script></block><block s="doReport"><custom-block s="$flash assoc %s %l"><block var="key"/><block s="reportCDR"><block var="a-list"/></block></custom-block></block></script></scripts></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="doIfElse"><custom-block s="☠︎ linked? %l"><block var="data"/></custom-block><script><block s="doSetVar"><l>#</l><l>1</l></block><block s="doUntil"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doSetVar"><l>item</l><block s="reportListItem"><l>1</l><block var="data"/></block></block><block s="doRun"><block var="action"/><list></list></block><block s="doSetVar"><l>data</l><block s="reportCDR"><block var="data"/></block></block><block s="doChangeVar"><l>#</l><l>1</l></block></script></block></script><script><block s="doIf"><block s="reportNot"><block s="reportListIsEmpty"><block var="data"/></block></block><script><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><script><block s="doSetVar"><l>#</l><block var="i"/></block><block s="doSetVar"><l>item</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block s="doRun"><block var="action"/><list></list></block></script></block></script></block></script></block></script></block-definition><block-definition s="☠︎ linked? %&apos;data&apos;" type="predicate" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>data</l></list><l>return data.isLinked;</l></block><list><block var="data"/></list></block></block></script></block-definition><block-definition s="☠︎ link %&apos;data&apos;" type="reporter" category="lists"><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></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></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></block><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doReport"><l>()</l></block></script></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></translations><inputs><input type="%mult%s"></input></inputs><script><block s="doReport"><block s="reportConcatenatedLists"><block s="reportAtomicMap"><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="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="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><l/></block></autolambda><list></list></block><block var="lists"/></block><custom-block s="$flash zip %mult%l"><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block var="lists"/></block></custom-block></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><comment x="0" y="0" w="105.33333333333333" collapsed="false">The identity function reports its input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="multimap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="267.3333333333333" collapsed="false">Takes as input a function of N inputs and N lists.&#xD;The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on.  (The lists should all be the same length.)</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="function"/><custom-block s="%s"><l></l></custom-block></block></autolambda><list></list></block><custom-block s="$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="reportEquals"><block s="reportStringSize"><l></l></block><l>0</l></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="Posa els múltiples de %&apos;num1&apos; i %&apos;num2&apos; a la llista %&apos;Multiples&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%s"></input></inputs><script><block s="changePenHSVA"><l><option>hue</option></l><l>40</l></block><block s="doAddToList"><block var="num1"/><block var="Multiples"/></block><block s="doFor"><l>i</l><l>2</l><block var="num2"/><script><block s="doAddToList"><block s="reportProduct"><block var="i"/><block var="num1"/></block><block var="Multiples"/></block><block s="doGotoObject"><l><option>random position</option></l></block><block s="write"><block s="reportProduct"><block var="i"/><block var="num1"/></block><l>25</l></block></script></block></script></block-definition></blocks><variables><variable name="numero1"><l>40</l></variable><variable name="numero2"><l>55</l></variable><variable name="Divisors2"><list struct="atomic" id="755">1,90,2,45,3,30,5,18,6,15,9,10</list></variable><variable name="Divisors1"><list struct="atomic" id="756">1,60,2,30,3,20,4,15,5,12,6,10</list></variable><variable name="MCD"><l>30</l></variable><variable name="MCM"><l>440</l></variable><variable name="Producte"><l>0</l></variable><variable name="Multiples1"><list struct="atomic" id="757">40,80,120,160,200,240,280,320,360,400,440,480,520,560,600,640,680,720,760,800,840,880,920,960,1000,1040,1080,1120,1160,1200,1240,1280,1320,1360,1400,1440,1480,1520,1560,1600,1640,1680,1720,1760,1800,1840,1880,1920,1960,2000,2040,2080,2120,2160,2200</list></variable><variable name="Multiples2"><list struct="atomic" id="758">55,110,165,220,275,330,385,440,495,550,605,660,715,770,825,880,935,990,1045,1100,1155,1210,1265,1320,1375,1430,1485,1540,1595,1650,1705,1760,1815,1870,1925,1980,2035,2090,2145,2200</list></variable></variables></project><media name="MCM_FB" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>