<snapdata remixID="12287238"><project name="Nearest Clone" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><notes>Finds the distance to the nearest clone.&#xD;&#xD;I wrote this after someone described what the process would look like using Scratch (creating lists of clone coordinates and writing code to calculate distances.)  I called it "Scratch microcode" and wrote this small test case to avoid that.&#xD;&#xD;Many Scratchers have asked for native way in Scratch to allow the blocks to work with a specfic clone.  So here it is (but for Snap).</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Nearest Clone"><notes>Finds the distance to the nearest clone.&#xD;&#xD;I wrote this after someone described what the process would look like using Scratch (creating lists of clone coordinates and writing code to calculate distances.)  I called it "Scratch microcode" and wrote this small test case to avoid that.&#xD;&#xD;Many Scratchers have asked for native way in Scratch to allow the blocks to work with a specfic clone.  So here it is (but for Snap).</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="$flash remove duplicates from %&apos;data&apos;" type="reporter" category="lists"><comment x="0" y="0" w="209" collapsed="false">Reports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.</comment><header></header><code></code><translations>ca:elimina els duplicats de _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="reportListItem"><l>1</l><block s="reportListAttribute"><l><option>columns</option></l><block s="reportApplyExtension"><l>dta_analyze(list)</l><list><block var="data"/></list></block></block></block></block></script></block-definition><block-definition s="$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></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></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>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 $arrowRight liste _&#xD;pt:uma lista com as palavras da frase _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportAtomicKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportStringSize"><l></l></block><l>0</l></list></block></block></autolambda><list></list></block><block s="reportTextSplit"><block var="text"/><l><option>whitespace</option></l></block></block></block></script></block-definition><block-definition s="$camera snap" type="reporter" category="sensing"><comment x="0" y="0" w="216" collapsed="false">takes a snapshot with the webcam and reports it as a new costume, or zero if the user cancels</comment><header></header><code></code><translations>pt:$camera a imagem actual do vídeo&#xD;</translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>callback</l><l>pic</l></list></block><block s="doSetVar"><l>callback</l><block s="reportApplyExtension"><l>mda_snap</l><list></list></block></block><block s="doWaitUntil"><block s="evaluate"><block s="reifyScript"><script><block s="doSetVar"><l>pic</l><block s="evaluate"><block var="callback"/><list></list></block></block><block s="doReport"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="pic"/><block s="reportBoolean"><l><bool>false</bool></l></block></list></block></block></block></script><list></list></block><list></list></block></block><block s="doReport"><block var="pic"/></block></script></block-definition><block-definition s="export costume %&apos;costume&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>§_costumesMenu</options></input></inputs><script><block s="doSetVar"><l>costume</l><block s="reportIfElse"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><block var="costume"/><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportGetImageAttribute"><l><option>name</option></l><l></l></block><block var="costume"/></list></block></autolambda><list></list></block><block s="reportGet"><l><option>costumes</option></l></block></block></block></block><block s="doIf"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><script><block s="doApplyExtension"><l>cst_export(cst, name)</l><list><block var="costume"/><l></l></list></block></script></block></script></block-definition><block-definition s="set name of costume %&apos;costume&apos; to %&apos;name&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>§_costumesMenu</options></input><input type="%s">thing</input></inputs><script><block s="doSetVar"><l>costume</l><block s="reportIfElse"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><block var="costume"/><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportGetImageAttribute"><l><option>name</option></l><l></l></block><block var="costume"/></list></block></autolambda><list></list></block><block s="reportGet"><l><option>costumes</option></l></block></block></block></block><block s="doIf"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><script><block s="doApplyExtension"><l>obj_name(obj, name)</l><list><block var="costume"/><block var="name"/></list></block></script></block></script></block-definition><block-definition s="export costume list %&apos;costumes&apos; base name %&apos;name&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s">frame</input></inputs><script><block s="doDeclareVariables"><list><l>count</l></list></block><block s="doSetVar"><l>count</l><block s="reportListAttribute"><l><option>length</option></l><block var="costumes"/></block></block><block s="doForEach"><l>item</l><block s="reportListAttribute"><l><option>reverse</option></l><block var="costumes"/></block><script><block s="doApplyExtension"><l>cst_export(cst, name)</l><list><block var="item"/><block s="reportJoinWords"><list><block var="name"/><l> (</l><block var="count"/><l>)</l></list></block></list></block><block s="doChangeVar"><l>count</l><l>-1</l></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="count"/><l>10</l></block><l>0</l></list></block><script><block s="doWait"><l>1</l></block></script></block></script></block></script></block-definition><block-definition s="Move toward nearest" type="command" category="motion"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>Min Dist</l><l>Nearest</l></list></block><block s="doSetVar"><l>Min Dist</l><l>10000</l></block><custom-block s="%upvar for each %upvar of %l %ca"><l>#</l><l>item</l><block s="reportRelationTo"><l><option>distance</option></l><block s="reportGet"><l><option>clones</option></l></block></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block var="item"/><block var="Min Dist"/></list></block><script><block s="doSetVar"><l>Nearest</l><block var="#"/></block><block s="doSetVar"><l>Min Dist</l><block var="item"/></block></script></block></script></custom-block><block s="doFaceTowards"><block s="reportListItem"><block var="Nearest"/><block s="reportGet"><l><option>clones</option></l></block></block></block><block s="doRepeat"><block s="reportRelationTo"><l><option>distance</option></l><block s="reportListItem"><block var="Nearest"/><block s="reportGet"><l><option>clones</option></l></block></block></block><script><block s="forward"><l>1</l></block></script></block></script></block-definition></blocks><stage name="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" id="467"><pentrails>data:image/png;base64,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</pentrails><costumes><list 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Are you having any problems finding its defination in the editor&apos;s script area?&#xD;&#xD;The Snap team decided to not make you hunt for a custom block definition.  Just right click and then click on &quot;edit&quot;.</comment></custom-block></script></block><block s="doStopThis"><l><option>all</option></l></block></script><script x="52" y="473.66666666666674"><block s="receiveOnClone"></block><block s="doWaitUntil"><block s="reportNot"><block s="reportTouchingObject"><block s="reportObject"><l>Sprite</l></block></block></block></block><block s="doWaitUntil"><block s="reportTouchingObject"><block s="reportObject"><l>Sprite</l></block></block></block><block s="removeClone"></block></script></scripts></sprite><watcher var="S" style="normal" x="10.000000000000114" y="10.000000000000028" color="243,118,29" hidden="true"/><sprite name="Sprite(2)" idx="2" x="0" y="0" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="2" color="80,80,80,1" pen="tip" id="552"><costumes><list id="553"><item><ref mediaID="Sprite(2)_cst_costume1"></ref></item><item><ref mediaID="Sprite(2)_cst_Stage "></ref></item></list></costumes><sounds><list struct="atomic" id="554"></list></sounds><blocks></blocks><variables></variables><scripts><script x="83" y="53.33333333333334"><block s="receiveGo"></block><block s="hide"></block></script><script x="96" y="183.33333333333337"><block s="receiveKey"><l><option>t</option></l><list></list></block><block s="show"></block></script></scripts></sprite></sprites></stage><variables><variable name="S"><list struct="atomic" id="566"></list></variable></variables></scene></scenes></project><media name="Nearest Clone" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><costume name="costume1" center-x="22" center-y="22.875" 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mediaID="Sprite_cst_costume1"/><costume name="costume1(2)" center-x="29" center-y="24.875" 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mediaID="Sprite_cst_costume1(2)"/><costume name="costume1" center-x="240" center-y="180" 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mediaID="Sprite(2)_cst_costume1"/><costume name="Stage " center-x="240" center-y="180" 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" 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