<snapdata remixID="10198859"><project name="Sine wave" app="Snap! 6, https://snap.berkeley.edu" version="1"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><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" scheduled="false" id="1"><pentrails>data:image/png;base64,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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="Sprite" idx="1" x="240" y="-51.30302149879532" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="0,8,5,1" pen="tip" id="8"><costumes><list struct="atomic" id="9"></list></costumes><sounds><list struct="atomic" id="10"></list></sounds><blocks></blocks><variables></variables><scripts><script x="17.860892388451447" y="11.023622047244094"><block s="receiveGo"></block><block s="hide"></block><block s="clear"></block><block s="setHeading"><l>90</l></block><block s="setColor"><color>0,8,5,1</color></block><block s="doDeclareVariables"><list><l>a</l></list></block><block s="doSetVar"><l>a</l><block s="reportNewList"><list></list></block></block><block s="doForever"><script><block s="clear"></block><custom-block s="render graph %l at y position %n"><block var="a"/><l>0</l></custom-block><block s="doAddToList"><custom-block s="sine wave size %n frequency %n"><l>150</l><l>200</l></custom-block><block var="a"/></block></script></block></script></scripts></sprite></sprites></stage><hidden></hidden><headers></headers><code></code><blocks><block-definition s="COVID data" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportTextSplit"><block s="reportURL"><l>https://corgis-edu.github.io/corgis/datasets/csv/covid/covid.csv</l></block><l><option>csv</option></l></block></block></script></block-definition><block-definition s="render graph %&apos;graph data&apos; at y position %&apos;y&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%n">-180</input></inputs><script><block s="gotoXY"><l>-240</l><block s="reportSum"><block var="y"/><block s="reportListItem"><l>1</l><block var="graph data"/></block></block></block><block s="doWarp"><script><block s="down"></block><block s="doFor"><l>i</l><l>2</l><block s="reportListAttribute"><l><option>length</option></l><block var="graph data"/></block><script><block s="gotoXY"><block s="reportSum"><l>-240</l><block s="reportProduct"><block var="i"/><block s="reportQuotient"><l>480</l><block s="reportListAttribute"><l><option>length</option></l><block var="graph data"/></block></block></block></block><block s="reportSum"><block var="y"/><block s="reportListItem"><block var="i"/><block var="graph data"/></block></block></block></script></block><block s="up"></block></script></block></script></block-definition><block-definition s="Data of country %&apos;country&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%txt">GBR</input></inputs><script><block s="doReport"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reportNewList"><list><l>DATE: (D, M, Y)</l><l>CASES</l><l>DEATHS</l><l>POPULATION</l><l>RATE</l></list></block></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportNewList"><list><block s="reportJoinWords"><list><block s="reportListItem"><l>1</l><l/></block><l>/</l><block s="reportListItem"><l>2</l><l/></block><l>/</l><block s="reportListItem"><l>3</l><l/></block></list></block><block s="reportListItem"><l>4</l><l/></block><block s="reportListItem"><l>5</l><l/></block><block s="reportListItem"><l>8</l><l/></block><block s="reportListItem"><l>10</l><l/></block></list></block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportEquals"><block s="reportListItem"><l>6</l><l/></block><block var="country"/></block></autolambda><list></list></block><custom-block s="COVID data"></custom-block></block></block></list></block></block></script></block-definition><block-definition s="relative %&apos;type&apos; rates of country %&apos;country&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>case&#xD;death</options></input><input type="%txt">GBR</input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportProduct"><block s="reportQuotient"><block s="reportIfElse"><block s="reportEquals"><block var="type"/><l>case</l></block><block s="reportListItem"><l>2</l><l/></block><block s="reportListItem"><l>3</l><l/></block></block><block s="reportListItem"><l>4</l><l/></block></block><l>100</l></block></autolambda><list></list></block><custom-block s="Data of country %txt"><block var="country"/></custom-block></block></block></script></block-definition><block-definition s="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="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></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="12.000000000000007" 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="108.22222222222223"><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="228.57142857142856" 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="doWarp"><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><block s="reportListItem"><l>1</l><block var="data"/></block></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><block s="reportListItem"><block var="i"/><block var="data"/></block></list></block></script></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="$flash reverse %&apos;list&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:$flash umgekehrt _&#xD;pt:$flash uma lista inversa de _&#xD;ca:$flash capgira _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>list</l></list><l>return new List(list.asArray().slice().reverse());</l></block><list><block var="list"/></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="$flash zip %mult%l"><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportCDR"><l/></block></autolambda><list></list></block><block var="lists"/></block></custom-block></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><comment x="0" y="0" w="105.33333333333334" collapsed="false">The identity function reports its input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="multimap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="267.3333333333333" collapsed="false">Takes as input a function of N inputs and N lists.&#xD;The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on.  (The lists should all be the same length.)</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="function"/><custom-block s="%s"><l></l></custom-block></block></autolambda><list></list></block><custom-block s="$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="center text %&apos;text&apos; size %&apos;size&apos; at x %&apos;x&apos; y %&apos;y&apos;" type="command" category="pen"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%n">12</input><input type="%n"></input><input type="%n"></input></inputs><script><block s="gotoXY"><block s="reportDifference"><block var="x"/><block s="reportProduct"><block s="reportProduct"><block var="size"/><l>0.5</l></block><block s="reportQuotient"><block s="reportStringSize"><block var="text"/></block><l>2</l></block></block></block><block var="y"/></block><block s="write"><block var="text"/><block var="size"/></block></script></block-definition><block-definition s="sine wave size %&apos;size&apos; frequency %&apos;frequency&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%n">200</input></inputs><script><block s="doReport"><block s="reportProduct"><block var="size"/><block s="reportMonadic"><l><option>sin</option></l><block s="reportProduct"><block var="frequency"/><block s="getTimer"></block></block></block></block></block></script></block-definition></blocks><variables></variables></project><media name="Sine wave" app="Snap! 6, https://snap.berkeley.edu" version="1"></media></snapdata>