<snapdata remixID="15098245"><project name="parametric plot" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="parametric plot"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="safely try %&apos;action&apos; then if %&apos;error&apos; %&apos;handler&apos;" type="command" category="control"><comment x="0" y="0" w="276" collapsed="false">Catch errors.&#xD;&#xD;Runs the first script.  If it succeeds, nothing else happens.&#xD;But if it has an error (something that would otherwise result&#xD;in a red halo around the block), then the second script is run,&#xD;with the text of the error message that would have been shown in the variable ERROR.</comment><header></header><code></code><translations>pt:tenta executar _ e, em caso de erro _ , executa _&#xD;ca:prova de forma segura _ i si _ _&#xD;pl:bezpiecznie spróbuj _ a jeśli _ _&#xD;</translations><inputs><input type="%cs"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doApplyExtension"><l>err_try(cmd, catch, err)</l><list><block var="action"/><block var="handler"/><block var="error"/></list></block><block s="doApplyExtension"><l>err_reset</l><list></list></block></script></block-definition><block-definition s="error %&apos;msg&apos;" type="command" category="control"><comment x="0" y="0" w="268.6666666666667" collapsed="false">Throw an error.&#xD;&#xD;Makes a red halo appear around the script that runs it,&#xD;with the input text shown in a speech balloon next to&#xD;the script, just like any Snap! error.&#xD;&#xD;This is useful to put in the second script of SAFELY TRY&#xD;after some other instructions to undo the partial work of&#xD;the first script.</comment><header></header><code></code><translations>pt:lança o erro _&#xD;pl:błąd _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doApplyExtension"><l>err_error(msg)</l><list><block var="msg"/></list></block></script></block-definition><block-definition s="safely try reporting %&apos;this&apos; then if %&apos;error&apos; report %&apos;that&apos;" type="reporter" category="control"><comment x="0" y="0" w="316.6666666666667" collapsed="false">Catch errors in a reporter.&#xD;&#xD;Evaluates its first input.  If that expression successfully reports a value, this block reports that value.  If the expression causes a Snap! error,&#xD;then the final input slot is evaluated with the text of what would have&#xD;been the error message in variable ERROR.  SAFELY TRY then reports the value of that final expression.&#xD;&#xD;Sometimes you&apos;ll want to throw an error in the final expression.  You&#xD;can put an ERROR block inside a CALL block to do that.</comment><header></header><code></code><translations>ca:prova de forma segura reportant _ i si _ reportant _&#xD;pl:bezpiecznie spróbuj zgłosić _ a jeśli _ zgłoś _&#xD;</translations><inputs><input type="%anyUE"></input><input type="%upvar"></input><input type="%anyUE"></input></inputs><script><block s="doDeclareVariables"><list><l>value</l></list></block><custom-block s="safely try %cs then if %upvar %cs"><script><block s="doSetVar"><l>value</l><block s="evaluate"><block var="this"/><list></list></block></block></script><l>err</l><script><block s="doSetVar"><l>error</l><block var="err"/></block><block s="doSetVar"><l>value</l><block s="evaluate"><block var="that"/><list></list></block></block></script></custom-block><block s="doReport"><block var="value"/></block></script></block-definition><block-definition s="code %&apos;code&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%code" initial="1"></input></inputs><script><block s="doReport"><block var="code"/></block></script></block-definition><block-definition s="wait until %&apos;predicate&apos; is true and false" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%predRing" initial="1"></input></inputs><script><block s="doWaitUntil"><block s="evaluate"><block var="predicate"/><list></list></block></block><block s="doWaitUntil"><block s="reportNot"><block s="evaluate"><block var="predicate"/><list></list></block></block></block></script></block-definition><block-definition s="reporter maker %&apos;code input&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%code" initial="1"></input></inputs><script><block s="doWarp"><script><custom-block s="safely try %cs then if %upvar %cs"><script><block s="doReport"><block s="reportJoinWords"><block s="reportTextSplit"><block var="code input"/><l><option>blocks</option></l></block></block></block></script><l>error</l><script><block s="doReport"><block s="reifyReporter"><script></script><list></list></block></block></script></custom-block></script></block></script></block-definition><block-definition s="add definition %&apos;reporter&apos;" type="command" category="lists"><header></header><code></code><translations></translations><inputs><input type="%repRing" initial="1"></input></inputs><script><block s="doWarp"><script><block s="doAddToList"><block var="reporter"/><block var="block definitions"/></block><block s="doAddToList"><block s="reportListAttribute"><l><option>text</option></l><block s="reportTextSplit"><block var="reporter"/><l><option>blocks</option></l></block></block><block var="text definitions"/></block></script></block></script></block-definition><block-definition s="plot x: %&apos;x&apos; y: %&apos;y&apos; with %&apos;intervals&apos; intervals from %&apos;from&apos; to %&apos;to&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%repRing" initial="1"></input><input type="%repRing" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input><input type="%n" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>t</l></list></block><block s="doWarp"><script><block s="up"></block><block s="doFor"><l>i</l><l>0</l><block var="intervals"/><script><block s="doSetVar"><l>t</l><block s="reportVariadicSum"><list><block var="from"/><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportDifference"><block var="to"/><block var="from"/></block><block var="intervals"/></block><block var="i"/></list></block></list></block></block><block s="gotoXY"><block s="evaluate"><block var="x"/><list><block var="t"/></list></block><block s="evaluate"><block var="y"/><list><block var="t"/></list></block></block><block s="doIf"><block s="reportNot"><block s="getPenDown"></block></block><script><block s="down"></block></script><list></list></block></script></block><block s="up"></block></script></block></script></block-definition><block-definition s="pi" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l>3.141592653589793</l></block></script></block-definition><block-definition s="reporter to code: %&apos;reporter&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%repRing" initial="1"></input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>text</option></l><block s="reportTextSplit"><block var="reporter"/><l><option>blocks</option></l></block></block></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="1" 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 id="193"><item><ref mediaID="parametric plot_Stage_cst_XY Grid"></ref></item></list></costumes><sounds><list struct="atomic" id="194"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="4"><sprite name="이능숙" idx="3" x="75" y="-120" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="65.79000000000002,0,76.5,1" pen="tip" id="199"><costumes><list id="200"><item><ref mediaID="parametric plot_이능숙_cst_이능숙"></ref></item></list></costumes><sounds><list struct="atomic" id="201"></list></sounds><blocks></blocks><variables></variables><scripts><comment x="343" y="232" w="90" collapsed="false">oh look literally canvas</comment></scripts></sprite><sprite name="Sprite" idx="1" x="-200" y="100" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="21,0,128,1" pen="tip" id="205"><costumes><list struct="atomic" id="206"></list></costumes><sounds><list struct="atomic" id="207"></list></sounds><blocks></blocks><variables></variables><scripts><script x="10" y="10"><block s="receiveGo"></block><block s="doDeclareVariables"><list><l>options</l></list></block><block s="doWarp"><script><block s="clear"></block><block s="gotoXY"><l>-200</l><l>100</l></block><block s="doTellTo"><l>김평범</l><block s="reifyScript"><script><block s="setEffect"><l><option>ghost</option></l><l>0</l></block></script><list></list></block><list></list></block><block s="doTellTo"><l>이능숙</l><block s="reifyScript"><script><block s="setEffect"><l><option>ghost</option></l><l>0</l></block></script><list></list></block><list></list></block><block s="setColor"><color>21,0,128,1</color></block><block s="doDeleteFromList"><l><option>all</option></l><block var="custom function definitions"/></block><block s="doSetVar"><l>block result</l><block s="reifyReporter"><script></script><list></list></block></block></script></block><block s="doSetVar"><l>options</l><block s="reportNewList"><list><l>Which one would you like to define?</l><block s="reportNewList"><list><l>Custom function</l><l>Graph function</l></list></block></list></block></block><block s="doAsk"><block var="options"/></block><block s="doUntil"><block s="reportVariadicEquals"><list><block s="getLastAnswer"></block><l>Graph function</l></list></block><script><block s="doTellTo"><l>김평범</l><block s="reifyScript"><script><block s="goToLayer"><l><option>front</option></l></block><block s="doAsk"><l>Enter the Snap! Expression syntax to define your own function.</l></block><block s="doAddToList"><custom-block s="reporter maker %code"><block s="getLastAnswer"></block></custom-block><block var="custom function definitions"/></block></script><list></list></block><list></list></block><block s="doAsk"><block var="options"/></block></script></block><block s="doTellTo"><l>이능숙</l><block s="reifyScript"><script><block s="goToLayer"><l><option>front</option></l></block><block s="doSetVar"><l>position plot</l><block s="reportNewList"><list></list></block></block><block s="doAsk"><l>Enter item number to plot. (x(t)-position)</l></block><block s="doAddToList"><block s="reportListItem"><block s="getLastAnswer"></block><block var="custom function definitions"/></block><block var="position plot"/></block><block s="doAsk"><l>Enter item number to plot. (y(t)-position)</l></block><block s="doAddToList"><block s="reportListItem"><block s="getLastAnswer"></block><block var="custom function definitions"/></block><block var="position plot"/></block><block s="doAsk"><l>Enter the Snap! Expression syntax to set the starting point of t-value.</l></block><block s="doAddToList"><block s="evaluate"><custom-block s="reporter maker %code"><block s="getLastAnswer"></block></custom-block><list></list></block><block var="position plot"/></block><block s="doAsk"><l>Enter the Snap! Expression syntax to set the ending point of t-value.</l></block><block s="doAddToList"><block s="evaluate"><custom-block s="reporter maker %code"><block s="getLastAnswer"></block></custom-block><list></list></block><block var="position plot"/></block><block s="doAsk"><l>Enter the interval count.</l></block><block s="doAddToList"><block s="getLastAnswer"></block><block var="position plot"/></block></script><list></list></block><list></list></block><block s="fork"><block s="reifyScript"><script><block s="doTellTo"><l>김평범</l><block s="reifyScript"><script><block s="doRepeat"><l>10</l><script><block s="changeEffect"><l><option>ghost</option></l><l>5</l></block></script></block></script><list></list></block><list></list></block></script><list></list></block><list></list></block><block s="doTellTo"><l>이능숙</l><block s="reifyScript"><script><block s="doRepeat"><l>10</l><script><block s="changeEffect"><l><option>ghost</option></l><l>5</l></block></script></block></script><list></list></block><list></list></block><custom-block s="plot x: %repRing y: %repRing with %n intervals from %n to %n"><block s="reportListItem"><l>1</l><block var="position plot"/></block><block s="reportListItem"><l>2</l><block var="position plot"/></block><block s="reportListItem"><l>5</l><block var="position plot"/></block><block s="reportListItem"><l>3</l><block var="position plot"/></block><block s="reportListItem"><l>4</l><block var="position plot"/></block></custom-block></script><script x="517" y="329.5"><block s="receiveGo"></block><block s="doWarp"><script><block s="doDeleteFromList"><l><option>all</option></l><block var="block definitions"/></block><block s="doDeleteFromList"><l><option>all</option></l><block var="text definitions"/></block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l>1</l><l>2</l></list></block></autolambda><list></list></block></custom-block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block s="reportMonadic"><l><option>sqrt</option></l><l>10</l></block></autolambda><list></list></block></custom-block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block var="variable"/></autolambda><list><l>variable</l></list></block></custom-block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l>2</l><l></l></list></block></autolambda><list></list></block></autolambda><list></list></block></custom-block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block s="evaluate"><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l>2</l><l></l></list></block></autolambda><list></list></block><list><l>3</l></list></block></autolambda><list></list></block></custom-block><custom-block s="add definition %repRing"><block s="reifyReporter"><autolambda><block s="reportListItem"><l>1</l><block var="list"/></block></autolambda><list></list></block></custom-block></script></block></script></scripts></sprite><sprite name="김평범" idx="2" x="-75" y="-120" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="1" color="86.7,5.202000000000004,0,1" pen="tip" id="527"><costumes><list id="528"><item><ref mediaID="parametric plot_김평범_cst_김평범"></ref></item></list></costumes><sounds><list struct="atomic" id="529"></list></sounds><blocks></blocks><variables></variables><scripts><comment x="334" y="239" w="90" collapsed="false">oh look literally canvas</comment></scripts></sprite><watcher var="block result" style="normal" x="10" y="8.000001999999995" color="243,118,29" hidden="true"/><watcher var="block definitions" style="normal" x="44" y="163.000004" color="243,118,29" hidden="true"/><watcher var="text definitions" style="normal" x="253" y="166.000004" color="243,118,29" hidden="true"/><watcher var="position plot" style="normal" x="10" y="46.00000399999999" color="243,118,29" hidden="true"/><sprite name="test blocks" idx="4" x="89" y="-124" heading="90" scale="1" volume="100" pan="0" rotation="1" draggable="true" hidden="true" costume="0" color="163.20000000000002,29.37599999999999,0,1" pen="tip" id="537"><costumes><list struct="atomic" id="538"></list></costumes><sounds><list struct="atomic" id="539"></list></sounds><blocks></blocks><variables></variables><scripts><script x="216" y="249"><custom-block s="reporter to code: %repRing"><block s="reifyReporter"><script></script><list></list></block></custom-block></script></scripts></sprite><watcher var="custom function definitions" style="normal" x="266" y="15.00000399999999" color="243,118,29" extX="184" extY="70"/></sprites></stage><variables><variable name="block result"><context id="551"><inputs></inputs><variables></variables><block s="reifyReporter"><script></script><list></list></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin><context id="558"><inputs></inputs><variables></variables><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></context></variable><variable name="block definitions"><list id="560"><item><context id="561"><inputs></inputs><variables></variables><block s="reportVariadicSum"><list><l>1</l><l>2</l></list></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin><context id="569"><inputs></inputs><variables></variables><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></context></item><item><context id="571"><inputs></inputs><variables></variables><block s="reportMonadic"><l><option>sqrt</option></l><l>10</l></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></item><item><context id="577"><inputs><input>variable</input></inputs><variables></variables><block var="variable"/><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></item><item><context id="580"><inputs></inputs><variables></variables><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l>2</l><l></l></list></block></autolambda><list></list></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></item><item><context id="593"><inputs></inputs><variables></variables><block s="evaluate"><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l>2</l><l></l></list></block></autolambda><list></list></block><list><l>3</l></list></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></item><item><context id="611"><inputs></inputs><variables></variables><block s="reportListItem"><l>1</l><block var="list"/></block><receiver><ref id="205"></ref></receiver><origin><ref id="205"></ref></origin></context></item></list></variable><variable name="text definitions"><list struct="atomic" id="617">(+ 1 2),(fn [sqrt] 10),(get variable variable),(ring (+ 2 nil)),(call (ring (+ 2 nil)) 3),(item 1 (get list))</list></variable><variable name="position plot"><list id="618"><item><context id="619"><inputs><input>var_t</input></inputs><variables></variables><block s="reportPower"><block var="var_t"/><l>2</l></block><receiver></receiver><origin></origin></context></item><item><context id="625"><inputs><input>var_t</input></inputs><variables></variables><block s="reportPower"><block var="var_t"/><l>3</l></block><receiver></receiver><origin></origin></context></item><item><l>0</l></item><item><l>100</l></item><item><l>200</l></item></list></variable><variable name="custom function definitions"><list struct="atomic" id="631"></list></variable></variables></scene></scenes></project><media name="parametric plot" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><costume name="XY Grid" center-x="240" center-y="180" 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" mediaID="parametric plot_Stage_cst_XY Grid"/><costume name="이능숙" center-x="59.5" center-y="180" 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" 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" 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